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515 Age-standardized and cumulative incidence rates (three-digit rubrics)

Age-standardized and cumulative incidence rates (three-digit … · Age-standardized (world) incidence (per 100,000) and cumulative (0-74) incidence (percent) rates and standard errors

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Page 1: Age-standardized and cumulative incidence rates (three-digit … · Age-standardized (world) incidence (per 100,000) and cumulative (0-74) incidence (percent) rates and standard errors

515

Age-standardized and cumulativeincidence rates (three-digit rubrics)

515 A 704 DEF 17/03/03 10:31 Page 515

Page 2: Age-standardized and cumulative incidence rates (three-digit … · Age-standardized (world) incidence (per 100,000) and cumulative (0-74) incidence (percent) rates and standard errors

Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsLip (C00)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 20 0.5 0.11 0.05 0.02 2 0.1 0.04 0.01 0.00*France, La Reunion 2 0.4 0.25 0.02 0.02 0 - - - - *The Gambia 1 0.2 0.22 - - 2 0.3 0.27 - - *Mali, Bamako 2 0.6 0.41 0.08 0.06 1 0.2 0.21 0.02 0.02*Uganda, Kyadondo County 0 - - - - 0 - - - - *Zimbabwe, Harare: African 0 - - - - 2 0.3 0.20 0.04 0.03

America, Central and South*Argentina, Bahia Blanca 22 2.2 0.47 0.26 0.06 3 0.3 0.15 0.03 0.02*Argentina, Concordia 5 1.6 0.73 0.16 0.08 3 0.7 0.44 0.07 0.05*Brazil, Campinas 30 1.8 0.33 0.21 0.05 13 0.7 0.22 0.11 0.04*Brazil, Goiania 35 2.6 0.46 0.29 0.06 12 0.8 0.24 0.11 0.04 Colombia, Cali 8 0.3 0.12 0.04 0.02 8 0.2 0.09 0.03 0.02*Costa Rica 0 - - - - 1 0.0 0.02 0.00 0.00*Cuba, Villa Clara 30 1.8 0.33 0.18 0.04 1 0.0 0.04 - - *Ecuador, Quito 1 0.0 0.03 - - 0 - - - - *France, Martinique 0 - - - - 0 - - - - *USA, Puerto Rico 11 0.3 0.09 0.05 0.01 5 0.1 0.03 0.00 0.00*Uruguay, Montevideo 8 0.3 0.10 0.03 0.02 2 0.0 0.02 - -

America, North Canada 2220 2.3 0.05 0.25 0.01 496 0.4 0.02 0.04 0.00 Canada, Alberta 275 3.4 0.21 0.39 0.03 40 0.4 0.07 0.05 0.01 Canada, British Columbia 154 1.1 0.09 0.12 0.01 44 0.3 0.05 0.03 0.01 Canada, Manitoba 215 5.4 0.39 0.66 0.06 45 0.7 0.13 0.08 0.02 Canada, New Brunswick 36 1.4 0.24 0.19 0.04 9 0.3 0.11 0.05 0.02 Canada, Newfoundland 173 9.8 0.77 1.22 0.11 30 1.4 0.27 0.14 0.04 Canada, Northwest Territories 3 1.5 0.87 0.27 0.18 1 0.4 0.42 0.05 0.05 Canada, Nova Scotia 66 1.9 0.24 0.18 0.03 8 0.2 0.08 0.02 0.01 Canada, Ontario 736 2.0 0.08 0.22 0.01 213 0.4 0.03 0.05 0.00 Canada, Prince Edward Island 8 1.8 0.68 0.20 0.08 2 0.2 0.18 0.04 0.04+Canada, Quebec 337 1.4 0.08 0.15 0.01 65 0.2 0.03 0.02 0.00 Canada, Saskatchewan 218 5.5 0.40 0.64 0.06 37 0.7 0.12 0.07 0.02 Canada, Yukon 4 2.0 1.09 0.13 0.09 4 3.1 1.59 0.17 0.17 USA, California, Los Angeles: Non-Hispanic White 177 1.2 0.10 0.13 0.01 74 0.4 0.05 0.05 0.01 USA, California, Los Angeles: Hispanic White 24 0.6 0.14 0.07 0.02 1 0.0 0.02 0.00 0.00 USA, California, Los Angeles: Black 5 0.2 0.08 0.01 0.01 5 0.2 0.07 0.02 0.01 USA, California, Los Angeles: Chinese 1 0.1 0.15 0.01 0.01 1 0.1 0.14 0.02 0.02 USA, California, Los Angeles: Filipino 0 - - - - 0 - - - - USA, California, Los Angeles: Japanese 0 - - - - 0 - - - - USA, California, Los Angeles: Korean 0 - - - - 0 - - - - USA, California, San Francisco: Non-Hispanic White 137 1.7 0.16 0.20 0.02 47 0.4 0.07 0.04 0.01 USA, California, San Francisco: Hispanic White 7 0.6 0.24 0.10 0.04 4 0.4 0.18 0.04 0.02 USA, California, San Francisco: Black 2 0.2 0.12 0.04 0.02 0 - - - - USA, Connecticut: White 31 0.3 0.05 0.03 0.01 8 0.0 0.02 0.00 0.00 USA, Connecticut: Black 0 - - - - 1 0.1 0.15 0.02 0.02 USA, Georgia, Atlanta: White 27 0.7 0.13 0.08 0.02 6 0.1 0.04 0.02 0.01 USA, Georgia, Atlanta: Black 2 0.1 0.09 0.00 0.00 1 0.0 0.03 0.00 0.00 USA, Iowa 376 3.5 0.19 0.42 0.03 64 0.4 0.06 0.04 0.01 USA, Louisiana, Central Region: White 9 1.0 0.36 0.13 0.06 3 0.2 0.09 - - USA, Louisiana, Central Region: Black 0 - - - - 0 - - - - USA, Louisiana, New Orleans: White 20 0.9 0.21 0.10 0.03 1 0.0 0.01 - - USA, Louisiana, New Orleans: Black 1 0.1 0.12 0.01 0.01 1 0.0 0.05 - - USA, Michigan, Detroit: White 94 0.9 0.10 0.10 0.01 26 0.2 0.04 0.02 0.00 USA, Michigan, Detroit: Black 1 0.1 0.05 0.01 0.01 4 0.1 0.06 0.02 0.01 USA, New Jersey: White 156 0.6 0.05 0.07 0.01 62 0.2 0.03 0.02 0.00 USA, New Jersey: Black 2 0.1 0.06 0.01 0.01 3 0.1 0.06 0.01 0.01 USA, New Mexico: Non-Hispanic White 129 4.1 0.38 0.49 0.05 28 0.7 0.15 0.10 0.02 USA, New Mexico: Hispanic White 25 1.7 0.34 0.20 0.05 0 - - - - USA, New Mexico: American Indian 1 0.5 0.54 0.09 0.09 0 - - - - USA, New York State: White 234 0.4 0.03 0.05 0.00 93 0.1 0.01 0.01 0.00 USA, New York State: Black 1 0.0 0.02 0.00 0.00 10 0.1 0.03 0.01 0.00 USA, Utah 165 3.3 0.27 0.37 0.04 34 0.5 0.10 0.06 0.01 USA, Washington, Seattle 149 1.2 0.11 0.14 0.02 40 0.3 0.05 0.03 0.01 USA, SEER: White 1135 1.7 0.05 0.20 0.01 256 0.3 0.02 0.03 0.00 USA, SEER: Black 6 0.1 0.04 0.01 0.01 6 0.1 0.03 0.01 0.00

Asia*China, Beijing 7 0.1 0.04 0.01 0.00 0 - - - -

+*China, Changle *China, Cixian *China, Hong Kong 24 0.1 0.03 0.01 0.00 24 0.1 0.03 0.02 0.00*China, Jiashan 1 0.2 0.19 0.01 0.01 0 - - - -

+*China, Qidong County 2 0.1 0.05 0.00 0.00 0 - - - - +*China, Shanghai 31 0.1 0.03 0.01 0.00 18 0.1 0.02 0.01 0.00

*China, Taiwan 88 0.7 0.08 0.07 0.01 14 0.1 0.04 0.02 0.01*China, Tianjin 23 0.2 0.04 0.03 0.01 7 0.1 0.02 0.01 0.00+China, Wuhan 3 0.0 0.02 0.00 0.00 1 0.0 0.01 0.00 0.00

+* Important-See notes on population page

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Page 3: Age-standardized and cumulative incidence rates (three-digit … · Age-standardized (world) incidence (per 100,000) and cumulative (0-74) incidence (percent) rates and standard errors

Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsLip (C00) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 21 0.3 0.08 0.03 0.01 10 0.2 0.05 0.02 0.01*India, Bangalore 12 0.2 0.05 0.02 0.01 11 0.1 0.04 0.01 0.00 India, Chennai (Madras) 25 0.3 0.06 0.04 0.01 14 0.2 0.05 0.03 0.01*India, Delhi 42 0.4 0.06 0.05 0.01 18 0.2 0.05 0.03 0.01*India, Karunagappally 4 0.5 0.23 0.05 0.03 2 0.2 0.15 0.03 0.02 India, Mumbai (Bombay) 58 0.3 0.04 0.03 0.01 41 0.3 0.04 0.03 0.01*India, Nagpur 8 0.5 0.16 0.05 0.02 6 0.3 0.15 0.04 0.02*India, Poona 39 0.9 0.15 0.10 0.02 12 0.3 0.10 0.05 0.01*India, Trivandrum 11 0.5 0.15 0.05 0.02 9 0.4 0.12 0.05 0.02 Israel: Jews 330 2.6 0.15 0.27 0.02 131 0.8 0.07 0.08 0.01 Israel: Jews born in Israel 88 3.4 0.46 0.38 0.06 22 0.6 0.15 0.06 0.02 Israel: Jews born in Europe or America 185 2.6 0.23 0.28 0.03 88 0.8 0.10 0.09 0.01 Israel: Jews born in Africa or Asia 57 1.8 0.27 0.17 0.03 21 0.5 0.11 0.05 0.01 Israel: Non-Jews 31 2.2 0.41 0.19 0.04 8 0.6 0.22 0.08 0.04 Japan, Hiroshima 1 0.0 0.03 0.01 0.01 1 0.0 0.03 0.00 0.00*Japan, Miyagi Prefecture 4 0.0 0.02 0.01 0.00 8 0.1 0.02 0.00 0.00*Japan, Nagasaki Prefecture 7 0.1 0.05 0.01 0.01 11 0.1 0.03 0.01 0.01*Japan, Osaka Prefecture 9 0.0 0.01 0.00 0.00 21 0.1 0.01 0.01 0.00*Japan, Saga Prefecture 3 0.1 0.04 0.01 0.01 2 0.0 0.01 - - *Japan, Yamagata Prefecture 4 0.1 0.04 0.01 0.00 3 0.0 0.02 0.01 0.00*Korea, Busan 6 0.4 0.19 0.03 0.02 2 0.0 0.03 - - *Korea, Daegu 3 0.2 0.15 0.00 0.00 0 - - - - *Korea, Kangwha County 1 0.3 0.28 - - 1 0.2 0.16 - - *Korea, Seoul 14 0.1 0.03 0.01 0.00 12 0.0 0.01 0.00 0.00*Kuwait: Kuwaitis 1 0.2 0.22 0.05 0.05 0 - - - - *Kuwait: Non-Kuwaitis 5 0.2 0.14 0.03 0.02 2 0.6 0.49 0.01 0.01*Oman: Omani 7 0.3 0.12 0.02 0.01 2 0.1 0.09 0.02 0.01*Pakistan, South Karachi 13 0.9 0.25 0.09 0.03 4 0.4 0.19 0.06 0.03*Philippines, Manila 6 0.1 0.06 0.01 0.01 5 0.1 0.04 0.01 0.01*Philippines, Rizal 6 0.1 0.05 0.01 0.00 0 - - - - Singapore: Chinese 1 0.0 0.02 - - 1 0.0 0.01 - - Singapore: Indian 0 - - - - 0 - - - - Singapore: Malay 0 - - - - 0 - - - - *Thailand, Bangkok 3 0.0 0.02 0.00 0.00 35 0.5 0.08 0.04 0.01*Thailand, Chiang Mai 4 0.1 0.05 0.01 0.01 10 0.3 0.08 0.02 0.01*Thailand, Khon Kaen 10 0.3 0.09 0.04 0.02 85 2.6 0.28 0.37 0.05*Thailand, Lampang 4 0.2 0.11 0.03 0.02 9 0.4 0.13 0.06 0.02*Thailand, Songkhla 5 0.3 0.11 0.01 0.01 15 0.6 0.17 0.06 0.03*Viet Nam, Hanoi 6 0.2 0.06 - - 9 0.2 0.06 - - *Viet Nam, Ho Chi Minh City 2 0.0 0.02 0.00 0.00 45 0.5 0.08 0.07 0.01

Europe Austria, Tyrol 15 0.7 0.19 0.08 0.02 6 0.2 0.09 0.02 0.01 Austria, Vorarlberg 2 0.2 0.15 0.03 0.02 2 0.1 0.09 0.03 0.02

+*Belarus 1418 5.0 0.13 0.63 0.02 442 0.8 0.04 0.08 0.01*Belgium, Flanders, (excl. Limburg) 64 0.7 0.09 0.08 0.01 17 0.1 0.04 0.02 0.01*Belgium, Limburg 16 1.4 0.35 0.15 0.04 3 0.2 0.13 0.02 0.02*Croatia 338 2.2 0.12 0.28 0.02 131 0.5 0.05 0.05 0.01 Czech Republic 371 1.1 0.06 0.13 0.01 143 0.2 0.02 0.02 0.00 Denmark 424 2.0 0.10 0.24 0.01 115 0.4 0.04 0.05 0.01 Estonia 65 1.5 0.19 0.20 0.03 26 0.3 0.06 0.03 0.01 Finland 490 2.7 0.12 0.35 0.02 184 0.6 0.05 0.06 0.01 France, Bas-Rhin 14 0.4 0.12 0.05 0.02 3 0.0 0.02 0.00 0.00*France, Calvados 31 1.3 0.25 0.14 0.03 8 0.2 0.07 0.02 0.01 France, Cote d’Or France, Doubs 4 0.2 0.11 0.02 0.02 1 0.0 0.04 0.01 0.01 France, Haut-Rhin 8 0.4 0.13 0.05 0.02 1 0.0 0.02 - - *France, Herault 69 1.9 0.24 0.22 0.03 8 0.2 0.07 0.02 0.01 France, Isere 26 0.7 0.14 0.07 0.02 6 0.1 0.03 0.00 0.00*France, Manche 60 3.9 0.54 0.49 0.07 14 0.5 0.17 0.05 0.02*France, Somme 28 1.4 0.27 0.19 0.04 3 0.1 0.09 0.02 0.01 France, Tarn 23 1.0 0.23 0.12 0.04 5 0.2 0.10 0.01 0.01 Germany, Saarland 54 1.2 0.16 0.13 0.02 18 0.2 0.06 0.02 0.01 Iceland 15 1.5 0.40 0.11 0.05 3 0.4 0.22 0.03 0.02 Ireland 159 1.7 0.14 0.21 0.02 14 0.1 0.03 0.01 0.00 Italy, Biella Province 2 0.5 0.34 0.05 0.04 2 0.2 0.20 0.02 0.02 Italy, Ferrara Province 36 2.0 0.36 0.27 0.05 7 0.2 0.08 0.01 0.01*Italy, Florence 73 1.3 0.16 0.16 0.02 12 0.2 0.05 0.02 0.01 Italy, Genoa Province 30 0.7 0.14 0.07 0.02 5 0.1 0.04 0.01 0.01 Italy, Liguria Italy, Macerata Province 4 0.2 0.10 0.04 0.02 1 0.0 0.02 - - Italy, Modena Province 3 0.1 0.05 0.01 0.01 2 0.1 0.04 0.01 0.01 Italy, North East 130 2.1 0.19 0.24 0.03 30 0.2 0.05 0.02 0.01

+* Important-See notes on population page

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Page 4: Age-standardized and cumulative incidence rates (three-digit … · Age-standardized (world) incidence (per 100,000) and cumulative (0-74) incidence (percent) rates and standard errors

Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsLip (C00) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 7 0.3 0.12 0.05 0.02 2 0.0 0.02 - - *Italy, Ragusa Province 39 3.1 0.52 0.41 0.08 7 0.4 0.16 0.05 0.03 Italy, Romagna 36 0.7 0.13 0.08 0.02 5 0.1 0.04 0.00 0.00 Italy, Sassari 66 3.5 0.45 0.45 0.07 7 0.3 0.12 0.02 0.01 Italy, Torino 31 0.7 0.13 0.08 0.02 10 0.2 0.06 0.02 0.01 Italy, Umbria 47 1.8 0.28 0.19 0.04 9 0.2 0.06 0.02 0.01 Italy, Varese Province 29 0.8 0.16 0.09 0.02 8 0.1 0.05 0.01 0.01 Italy, Venetian Region 149 2.2 0.19 0.25 0.03 28 0.2 0.04 0.02 0.01*Latvia 156 2.1 0.17 0.26 0.03 50 0.3 0.05 0.03 0.01 Lithuania 301 2.8 0.16 0.35 0.03 86 0.4 0.05 0.04 0.01 Malta 33 2.8 0.50 0.33 0.07 2 0.1 0.09 0.01 0.01 The Netherlands 718 1.3 0.05 0.16 0.01 180 0.2 0.02 0.03 0.00 The Netherlands, Eindhoven 46 1.4 0.21 0.18 0.03 11 0.2 0.08 0.02 0.01 The Netherlands, Maastricht 19 0.6 0.14 0.06 0.02 8 0.2 0.07 0.02 0.01 Norway 319 1.8 0.11 0.23 0.02 101 0.5 0.05 0.05 0.01*Poland, Cracow 21 0.9 0.20 0.12 0.03 5 0.1 0.06 0.01 0.01*Poland, Kielce 160 5.5 0.44 0.72 0.07 34 0.7 0.12 0.08 0.02*Poland, Lower Silesia 175 2.1 0.17 0.25 0.02 34 0.3 0.05 0.02 0.01 Poland, Warsaw City 70 1.2 0.15 0.13 0.02 16 0.2 0.04 0.01 0.01*Portugal, Vila Nova de Gaia 13 1.8 0.51 0.21 0.07 7 0.6 0.24 0.06 0.04*Russia, St Petersburg 102 1.0 0.10 0.12 0.01 40 0.2 0.03 0.02 0.00 Slovakia 463 3.0 0.14 0.38 0.02 138 0.5 0.05 0.06 0.01 Slovenia 107 1.7 0.17 0.18 0.02 26 0.2 0.05 0.02 0.01 Spain, Albacete 149 11.4 0.99 1.44 0.13 19 1.1 0.28 0.14 0.04 Spain, Asturias 80 2.1 0.24 0.23 0.03 18 0.2 0.06 0.02 0.01*Spain, Canary Islands 138 5.9 0.51 0.73 0.07 20 0.7 0.16 0.08 0.02 Spain, Cuenca 132 14.3 1.40 1.85 0.18 21 1.0 0.23 0.09 0.04 Spain, Girona 55 4.2 0.61 0.49 0.08 5 0.2 0.08 0.01 0.01 Spain, Granada 327 12.1 0.70 1.48 0.09 21 0.5 0.11 0.08 0.02 Spain, Mallorca 138 7.9 0.70 0.94 0.09 12 0.6 0.19 0.05 0.02 Spain, Murcia 222 7.9 0.54 0.95 0.07 23 0.5 0.12 0.05 0.02 Spain, Navarra 136 6.2 0.55 0.75 0.08 10 0.4 0.15 0.03 0.01 Spain, Tarragona 132 5.3 0.49 0.68 0.07 14 0.4 0.13 0.04 0.02*Spain, Zaragoza 225 6.3 0.44 0.77 0.06 14 0.3 0.10 0.04 0.01 Sweden 628 1.4 0.06 0.17 0.01 237 0.5 0.04 0.05 0.00 Switzerland, Basel 3 0.2 0.09 0.02 0.01 1 0.0 0.05 0.01 0.01 Switzerland, Geneva 14 0.9 0.26 0.12 0.04 5 0.2 0.10 0.02 0.02 Switzerland, Graubunden and Glarus 26 2.8 0.58 0.30 0.08 2 0.1 0.06 - - Switzerland, Neuchatel 3 0.5 0.31 0.03 0.03 1 0.1 0.05 - - Switzerland, St Gall-Appenzell 29 1.6 0.30 0.15 0.04 7 0.4 0.15 0.03 0.01*Switzerland, Ticino 2 0.4 0.27 0.04 0.04 1 0.2 0.18 0.03 0.03 Switzerland, Valais 10 1.1 0.36 0.11 0.04 6 0.4 0.18 0.05 0.03 Switzerland, Vaud 14 0.7 0.20 0.09 0.03 5 0.1 0.06 0.02 0.01 Switzerland, Zurich 51 1.4 0.20 0.16 0.03 30 0.5 0.11 0.05 0.01*UK, England 813 0.4 0.02 0.05 0.00 306 0.1 0.01 0.01 0.00 UK, England, East Anglia 143 1.5 0.14 0.19 0.02 35 0.2 0.05 0.03 0.01 UK, England, Merseyside and Cheshire 20 0.2 0.05 0.02 0.01 6 0.0 0.02 0.00 0.00 UK, England, North Western 71 0.5 0.06 0.06 0.01 34 0.1 0.03 0.01 0.00 UK, England, Oxford Region 71 0.7 0.09 0.08 0.01 28 0.2 0.05 0.03 0.01*UK, England, South Thames 31 0.1 0.02 0.01 0.00 32 0.1 0.02 0.01 0.00*UK, England, South and Western Regions 158 0.5 0.05 0.06 0.01 51 0.1 0.02 0.01 0.00 UK, England, Trent 61 0.3 0.04 0.03 0.01 16 0.0 0.01 0.01 0.00*UK, England, West Midlands Region 50 0.2 0.03 0.03 0.00 16 0.1 0.02 0.00 0.00 UK, England, Yorkshire 132 0.9 0.08 0.09 0.01 63 0.3 0.04 0.03 0.01 UK, Northern Ireland 104 1.9 0.19 0.22 0.03 23 0.3 0.08 0.03 0.01 UK, Scotland 205 1.0 0.07 0.10 0.01 92 0.3 0.04 0.03 0.00*Yugoslavia, Vojvodina 236 3.1 0.21 0.37 0.03 52 0.5 0.07 0.05 0.01

Oceania Australia, Capital Territory 27 3.6 0.71 0.43 0.09 14 1.8 0.49 0.24 0.08 Australia, New South Wales 995 5.1 0.16 0.53 0.02 326 1.3 0.08 0.14 0.01 Australia, Northern Territory 18 4.5 1.13 0.52 0.14 4 1.4 0.78 0.18 0.14 Australia, Queensland 1112 10.9 0.33 1.18 0.04 326 2.5 0.15 0.26 0.02 Australia, South 439 8.8 0.44 0.96 0.05 160 2.5 0.22 0.27 0.03 Australia, Tasmania 164 10.4 0.83 1.21 0.11 51 2.6 0.40 0.29 0.05 Australia, Victoria 809 5.5 0.20 0.63 0.03 327 1.7 0.10 0.19 0.01 Australia, Western 361 6.9 0.37 0.72 0.05 147 2.5 0.21 0.27 0.03 New Zealand 181 1.6 0.12 0.17 0.02 87 0.6 0.07 0.06 0.01 USA, Hawaii: White 20 2.0 0.46 0.21 0.06 4 0.3 0.18 0.02 0.02 USA, Hawaii: Chinese 0 - - - - 0 - - - - USA, Hawaii: Filipino 0 - - - - 1 0.2 0.23 0.03 0.03 USA, Hawaii: Hawaiian 0 - - - - 0 - - - - USA, Hawaii: Japanese 1 0.1 0.13 0.01 0.01 1 0.0 0.04 0.01 0.01

+* Important-See notes on population page

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsTongue (C01-02)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 12 0.3 0.09 0.03 0.01 9 0.2 0.08 0.04 0.01*France, La Reunion 24 4.5 0.93 0.48 0.11 2 0.4 0.27 0.05 0.04*The Gambia 1 0.2 0.23 - - 2 0.5 0.33 - - *Mali, Bamako 0 - - - - 0 - - - - *Uganda, Kyadondo County 5 0.3 0.16 0.03 0.02 1 0.1 0.13 0.03 0.03*Zimbabwe, Harare: African 10 0.7 0.25 0.10 0.05 4 0.6 0.36 0.13 0.09

America, Central and South*Argentina, Bahia Blanca 24 2.4 0.48 0.32 0.07 7 0.5 0.19 0.06 0.03*Argentina, Concordia 12 3.8 1.11 0.40 0.13 2 0.5 0.38 0.03 0.03*Brazil, Campinas 63 3.7 0.48 0.46 0.07 15 0.8 0.20 0.10 0.03*Brazil, Goiania 28 2.1 0.41 0.26 0.06 12 0.9 0.25 0.10 0.04 Colombia, Cali 32 1.1 0.21 0.13 0.03 36 1.1 0.19 0.12 0.03*Costa Rica 12 0.5 0.15 0.07 0.02 12 0.5 0.13 0.06 0.02*Cuba, Villa Clara 27 1.5 0.30 0.14 0.04 16 1.0 0.25 0.14 0.04*Ecuador, Quito 8 0.5 0.16 0.06 0.02 18 0.7 0.16 0.07 0.03*France, Martinique 28 2.7 0.53 0.34 0.07 6 0.4 0.18 0.08 0.03*USA, Puerto Rico 170 4.5 0.35 0.52 0.05 53 1.1 0.15 0.12 0.02*Uruguay, Montevideo 84 3.4 0.39 0.43 0.05 30 0.7 0.15 0.09 0.02

America, North Canada 1926 2.1 0.05 0.26 0.01 966 0.9 0.03 0.10 0.00 Canada, Alberta 111 1.4 0.14 0.18 0.02 84 0.9 0.10 0.10 0.01 Canada, British Columbia 242 2.0 0.13 0.24 0.02 129 0.9 0.09 0.11 0.01 Canada, Manitoba 72 2.2 0.26 0.27 0.03 43 0.9 0.15 0.10 0.02 Canada, New Brunswick 42 1.7 0.27 0.22 0.04 15 0.5 0.14 0.07 0.02 Canada, Newfoundland 28 1.7 0.32 0.22 0.05 11 0.5 0.16 0.05 0.02 Canada, Northwest Territories 3 1.0 0.61 0.11 0.07 3 0.8 0.52 0.08 0.06 Canada, Nova Scotia 67 2.2 0.28 0.27 0.04 28 0.7 0.15 0.08 0.02 Canada, Ontario 730 2.2 0.08 0.26 0.01 403 1.0 0.05 0.11 0.01 Canada, Prince Edward Island 9 2.4 0.81 0.32 0.11 4 0.8 0.44 0.11 0.06+Canada, Quebec 577 2.6 0.11 0.32 0.01 212 0.8 0.06 0.09 0.01 Canada, Saskatchewan 45 1.3 0.21 0.16 0.03 35 0.8 0.16 0.09 0.02 Canada, Yukon 3 2.0 1.18 0.30 0.19 1 0.5 0.50 0.04 0.04 USA, California, Los Angeles: Non-Hispanic White 394 3.0 0.16 0.38 0.02 229 1.4 0.11 0.17 0.01 USA, California, Los Angeles: Hispanic White 62 1.6 0.22 0.20 0.03 28 0.5 0.10 0.06 0.02 USA, California, Los Angeles: Black 84 3.5 0.39 0.38 0.05 30 1.0 0.19 0.11 0.02 USA, California, Los Angeles: Chinese 6 0.7 0.29 0.06 0.03 12 1.2 0.37 0.09 0.04 USA, California, Los Angeles: Filipino 7 1.1 0.43 0.09 0.04 5 0.6 0.27 0.09 0.04 USA, California, Los Angeles: Japanese 9 1.8 0.69 0.27 0.10 8 1.3 0.51 0.08 0.04 USA, California, Los Angeles: Korean 7 1.6 0.63 0.17 0.08 2 0.4 0.28 0.06 0.04 USA, California, San Francisco: Non-Hispanic White 262 3.6 0.24 0.44 0.03 119 1.2 0.13 0.16 0.02 USA, California, San Francisco: Hispanic White 15 1.5 0.40 0.17 0.05 7 0.5 0.19 0.05 0.03 USA, California, San Francisco: Black 32 2.9 0.52 0.31 0.06 13 1.0 0.29 0.11 0.04 USA, Connecticut: White 262 2.7 0.17 0.34 0.02 147 1.3 0.11 0.15 0.01 USA, Connecticut: Black 21 3.6 0.80 0.39 0.09 10 1.4 0.45 0.19 0.06 USA, Georgia, Atlanta: White 114 2.7 0.26 0.32 0.04 61 1.3 0.17 0.16 0.02 USA, Georgia, Atlanta: Black 39 2.9 0.48 0.37 0.07 14 0.8 0.22 0.09 0.03 USA, Iowa 177 2.0 0.15 0.25 0.02 118 1.0 0.10 0.11 0.01 USA, Louisiana, Central Region: White 14 2.1 0.57 0.23 0.07 3 0.5 0.28 0.05 0.03 USA, Louisiana, Central Region: Black 4 3.1 1.55 0.32 0.16 1 0.2 0.17 - - USA, Louisiana, New Orleans: White 69 3.7 0.45 0.47 0.06 30 1.1 0.22 0.12 0.03 USA, Louisiana, New Orleans: Black 27 3.5 0.67 0.38 0.08 12 1.0 0.30 0.14 0.05 USA, Michigan, Detroit: White 288 3.1 0.19 0.37 0.02 152 1.3 0.11 0.15 0.01 USA, Michigan, Detroit: Black 96 4.2 0.44 0.50 0.06 37 1.2 0.21 0.16 0.03 USA, New Jersey: White 560 2.6 0.12 0.31 0.01 301 1.0 0.07 0.12 0.01 USA, New Jersey: Black 90 3.7 0.39 0.43 0.05 45 1.4 0.21 0.18 0.03 USA, New Mexico: Non-Hispanic White 58 1.8 0.25 0.21 0.03 41 1.1 0.19 0.14 0.03 USA, New Mexico: Hispanic White 16 1.1 0.28 0.12 0.04 10 0.6 0.19 0.08 0.03 USA, New Mexico: American Indian 0 - - - - 1 0.3 0.34 0.04 0.04 USA, New York State: White 1238 2.7 0.08 0.33 0.01 621 1.0 0.05 0.12 0.01 USA, New York State: Black 259 3.9 0.24 0.46 0.03 99 1.0 0.10 0.12 0.01 USA, Utah 85 1.7 0.20 0.18 0.02 46 0.8 0.13 0.10 0.02 USA, Washington, Seattle 316 2.8 0.16 0.33 0.02 158 1.2 0.10 0.14 0.01 USA, SEER: White 1614 2.6 0.07 0.32 0.01 866 1.1 0.04 0.14 0.01 USA, SEER: Black 199 3.5 0.25 0.42 0.03 78 1.1 0.13 0.14 0.02

Asia*China, Beijing 29 0.4 0.07 0.03 0.01 15 0.2 0.05 0.02 0.01

+*China, Changle *China, Cixian *China, Hong Kong 446 2.4 0.12 0.29 0.02 186 1.0 0.07 0.11 0.01*China, Jiashan 4 0.4 0.19 0.03 0.02 3 0.3 0.15 0.03 0.02

+*China, Qidong County 4 0.1 0.07 0.01 0.01 6 0.2 0.09 0.03 0.01+*China, Shanghai 120 0.5 0.05 0.06 0.01 116 0.5 0.04 0.05 0.01

*China, Taiwan 612 5.1 0.21 0.54 0.02 100 0.9 0.09 0.10 0.01*China, Tianjin 53 0.5 0.07 0.06 0.01 59 0.5 0.06 0.06 0.01+China, Wuhan 37 0.4 0.06 0.05 0.01 30 0.3 0.05 0.03 0.01

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsTongue (C01-02) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 599 9.3 0.40 1.15 0.06 108 1.9 0.19 0.21 0.02*India, Bangalore 256 3.2 0.21 0.41 0.03 59 0.8 0.11 0.10 0.02 India, Chennai (Madras) 420 5.6 0.28 0.72 0.04 122 1.7 0.16 0.22 0.02*India, Delhi 751 6.1 0.23 0.74 0.03 189 1.8 0.14 0.21 0.02*India, Karunagappally 38 4.5 0.73 0.58 0.11 16 1.7 0.43 0.20 0.05 India, Mumbai (Bombay) 1056 5.7 0.19 0.71 0.03 361 2.4 0.13 0.28 0.02*India, Nagpur 108 5.9 0.59 0.71 0.08 28 1.6 0.31 0.20 0.05*India, Poona 156 3.6 0.31 0.42 0.04 68 1.7 0.21 0.22 0.03*India, Trivandrum 124 5.4 0.49 0.66 0.07 70 2.7 0.33 0.34 0.05 Israel: Jews 101 0.8 0.08 0.09 0.01 102 0.6 0.06 0.07 0.01 Israel: Jews born in Israel 21 1.0 0.27 0.10 0.03 13 0.6 0.20 0.06 0.03 Israel: Jews born in Europe or America 51 1.0 0.16 0.11 0.02 59 0.5 0.09 0.06 0.01 Israel: Jews born in Africa or Asia 29 0.8 0.18 0.10 0.02 30 0.7 0.13 0.07 0.02 Israel: Non-Jews 4 0.3 0.17 0.05 0.03 1 0.1 0.09 0.01 0.01 Japan, Hiroshima 78 2.2 0.26 0.27 0.04 50 1.1 0.17 0.11 0.02*Japan, Miyagi Prefecture 134 1.6 0.14 0.19 0.02 64 0.7 0.09 0.06 0.01*Japan, Nagasaki Prefecture 129 2.2 0.21 0.27 0.03 69 0.8 0.11 0.10 0.01*Japan, Osaka Prefecture 562 1.8 0.08 0.21 0.01 239 0.6 0.04 0.06 0.01*Japan, Saga Prefecture 53 1.5 0.22 0.18 0.03 41 0.9 0.17 0.09 0.02*Japan, Yamagata Prefecture 39 0.8 0.13 0.09 0.02 30 0.4 0.09 0.04 0.01*Korea, Busan 40 1.3 0.21 0.19 0.04 17 0.4 0.11 0.05 0.01*Korea, Daegu 27 1.4 0.29 0.15 0.04 7 0.3 0.11 0.03 0.02*Korea, Kangwha County 5 2.3 1.02 0.26 0.12 0 - - - - *Korea, Seoul 177 1.0 0.08 0.12 0.01 88 0.4 0.04 0.04 0.01*Kuwait: Kuwaitis 3 0.3 0.18 0.03 0.02 2 0.1 0.10 0.01 0.01*Kuwait: Non-Kuwaitis 6 0.7 0.49 0.14 0.12 5 0.7 0.46 0.09 0.06*Oman: Omani 20 1.0 0.22 0.11 0.03 15 0.9 0.23 0.10 0.03*Pakistan, South Karachi 61 4.2 0.58 0.61 0.10 57 4.9 0.70 0.61 0.10*Philippines, Manila 139 2.5 0.23 0.33 0.04 119 1.9 0.18 0.24 0.03*Philippines, Rizal 104 1.8 0.19 0.21 0.03 81 1.3 0.15 0.16 0.02 Singapore: Chinese 70 1.3 0.15 0.14 0.02 43 0.6 0.09 0.05 0.01 Singapore: Indian 17 2.6 0.64 0.27 0.08 4 1.0 0.48 0.12 0.07 Singapore: Malay 7 0.9 0.34 0.12 0.06 6 0.5 0.23 0.06 0.03*Thailand, Bangkok 156 2.4 0.20 0.28 0.03 58 0.7 0.10 0.09 0.01*Thailand, Chiang Mai 69 2.0 0.24 0.20 0.03 32 0.8 0.15 0.11 0.02*Thailand, Khon Kaen 25 0.7 0.15 0.10 0.02 32 0.9 0.16 0.12 0.02*Thailand, Lampang 27 1.4 0.26 0.15 0.04 11 0.5 0.15 0.07 0.02*Thailand, Songkhla 73 4.0 0.48 0.48 0.07 14 0.6 0.18 0.07 0.02*Viet Nam, Hanoi 52 1.2 0.17 - - 62 1.3 0.16 - - *Viet Nam, Ho Chi Minh City 115 2.0 0.19 0.25 0.03 51 0.6 0.09 0.09 0.01

Europe Austria, Tyrol 31 1.7 0.30 0.18 0.03 18 0.7 0.18 0.08 0.02 Austria, Vorarlberg 27 2.6 0.51 0.29 0.06 11 0.7 0.23 0.09 0.03

+*Belarus 800 2.9 0.10 0.35 0.01 83 0.2 0.02 0.02 0.00*Belgium, Flanders, (excl. Limburg) 170 2.3 0.18 0.27 0.02 61 0.7 0.10 0.08 0.01*Belgium, Limburg 12 1.1 0.33 0.14 0.04 7 0.6 0.24 0.05 0.02*Croatia 618 4.1 0.17 0.50 0.02 69 0.4 0.05 0.04 0.01 Czech Republic 764 2.4 0.09 0.26 0.01 149 0.3 0.03 0.04 0.00 Denmark 280 1.5 0.09 0.19 0.01 143 0.6 0.06 0.07 0.01 Estonia 128 2.9 0.26 0.36 0.03 24 0.3 0.07 0.04 0.01 Finland 199 1.2 0.08 0.13 0.01 198 0.8 0.07 0.09 0.01 France, Bas-Rhin 190 6.5 0.47 0.79 0.06 30 0.8 0.16 0.10 0.02*France, Calvados 139 7.5 0.64 0.90 0.08 18 0.7 0.18 0.09 0.02 France, Cote d’Or France, Doubs 69 4.6 0.55 0.54 0.07 11 0.5 0.17 0.06 0.02 France, Haut-Rhin 131 6.1 0.53 0.75 0.07 39 1.6 0.27 0.17 0.03*France, Herault 121 4.1 0.39 0.46 0.05 36 1.0 0.18 0.13 0.02 France, Isere 133 4.1 0.36 0.51 0.05 24 0.6 0.13 0.05 0.01*France, Manche 68 5.3 0.67 0.63 0.08 8 0.4 0.15 0.05 0.02*France, Somme 126 7.6 0.69 0.90 0.08 22 1.0 0.23 0.14 0.03 France, Tarn 46 3.8 0.59 0.41 0.07 7 0.3 0.15 0.03 0.02 Germany, Saarland 121 3.1 0.29 0.36 0.03 44 0.9 0.15 0.10 0.02 Iceland 7 0.8 0.32 0.08 0.04 10 1.0 0.33 0.15 0.06 Ireland 177 2.1 0.16 0.26 0.02 64 0.6 0.08 0.07 0.01 Italy, Biella Province 21 4.8 1.06 0.57 0.13 4 0.6 0.35 0.08 0.04 Italy, Ferrara Province 28 1.8 0.35 0.24 0.05 19 1.0 0.28 0.09 0.03*Italy, Florence 62 1.2 0.16 0.13 0.02 42 0.7 0.12 0.08 0.01 Italy, Genoa Province 94 2.7 0.29 0.33 0.04 36 0.7 0.14 0.09 0.02 Italy, Liguria Italy, Macerata Province 14 1.0 0.29 0.12 0.04 8 0.6 0.24 0.05 0.02 Italy, Modena Province 29 1.1 0.22 0.16 0.03 10 0.3 0.11 0.03 0.01 Italy, North East 152 3.0 0.25 0.35 0.03 57 0.8 0.12 0.09 0.02

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsTongue (C01-02) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 37 2.4 0.41 0.27 0.05 16 0.7 0.21 0.07 0.02*Italy, Ragusa Province 6 0.5 0.23 0.04 0.02 1 0.0 0.03 - - Italy, Romagna 52 1.1 0.17 0.15 0.02 28 0.6 0.13 0.06 0.01 Italy, Sassari 40 2.5 0.40 0.29 0.05 12 0.6 0.18 0.05 0.02 Italy, Torino 104 2.7 0.27 0.31 0.03 40 0.7 0.13 0.08 0.02 Italy, Umbria 38 1.7 0.29 0.21 0.04 10 0.3 0.13 0.05 0.02 Italy, Varese Province 73 2.4 0.28 0.31 0.04 16 0.3 0.10 0.04 0.01 Italy, Venetian Region 219 3.8 0.26 0.44 0.03 56 0.7 0.10 0.08 0.01*Latvia 141 1.9 0.17 0.23 0.02 38 0.3 0.06 0.04 0.01 Lithuania 232 2.3 0.15 0.27 0.02 40 0.3 0.04 0.03 0.01 Malta 13 1.2 0.34 0.14 0.04 10 0.8 0.24 0.09 0.03 The Netherlands 770 1.5 0.06 0.18 0.01 510 0.8 0.04 0.09 0.01 The Netherlands, Eindhoven 54 1.7 0.23 0.19 0.03 15 0.4 0.11 0.05 0.01 The Netherlands, Maastricht 56 1.8 0.24 0.21 0.03 27 0.8 0.16 0.08 0.02 Norway 206 1.3 0.10 0.15 0.01 108 0.6 0.06 0.06 0.01*Poland, Cracow 49 2.2 0.32 0.28 0.04 19 0.7 0.16 0.07 0.02*Poland, Kielce 27 1.1 0.21 0.13 0.03 6 0.2 0.11 0.02 0.01*Poland, Lower Silesia 171 2.2 0.17 0.26 0.02 39 0.4 0.06 0.04 0.01 Poland, Warsaw City 85 1.6 0.17 0.18 0.02 36 0.5 0.09 0.06 0.01*Portugal, Vila Nova de Gaia 26 3.7 0.73 0.43 0.09 12 1.2 0.37 0.14 0.05*Russia, St Petersburg 367 3.4 0.18 0.41 0.02 105 0.6 0.06 0.06 0.01 Slovakia 755 5.3 0.19 0.61 0.02 58 0.3 0.04 0.03 0.00 Slovenia 183 3.0 0.22 0.36 0.03 32 0.4 0.07 0.04 0.01 Spain, Albacete 30 2.9 0.55 0.31 0.06 5 0.3 0.16 0.03 0.02 Spain, Asturias 128 4.2 0.38 0.47 0.04 31 0.6 0.11 0.08 0.02*Spain, Canary Islands 116 5.3 0.50 0.62 0.06 16 0.6 0.16 0.05 0.02 Spain, Cuenca 15 1.8 0.50 0.21 0.06 4 0.3 0.22 0.04 0.03 Spain, Girona 36 3.2 0.56 0.37 0.07 10 0.5 0.20 0.05 0.02 Spain, Granada 63 2.5 0.33 0.30 0.04 23 0.7 0.16 0.06 0.02 Spain, Mallorca 57 3.3 0.45 0.34 0.05 17 0.8 0.22 0.10 0.03 Spain, Murcia 85 3.3 0.37 0.39 0.05 27 0.7 0.16 0.08 0.02 Spain, Navarra 49 2.7 0.39 0.33 0.05 16 0.7 0.19 0.08 0.02 Spain, Tarragona 72 3.5 0.44 0.39 0.05 23 0.8 0.20 0.09 0.02*Spain, Zaragoza 110 3.7 0.37 0.44 0.05 21 0.4 0.09 0.04 0.01 Sweden 372 1.1 0.06 0.13 0.01 229 0.6 0.04 0.06 0.01 Switzerland, Basel 41 2.5 0.40 0.29 0.05 16 0.8 0.23 0.07 0.02 Switzerland, Geneva 41 2.9 0.47 0.36 0.06 16 1.2 0.30 0.13 0.03 Switzerland, Graubunden and Glarus 22 2.8 0.62 0.35 0.09 3 0.4 0.23 0.03 0.02 Switzerland, Neuchatel 11 2.5 0.78 0.29 0.09 7 1.1 0.49 0.09 0.05 Switzerland, St Gall-Appenzell 30 1.9 0.35 0.22 0.05 11 0.7 0.21 0.07 0.02*Switzerland, Ticino 12 2.6 0.77 0.31 0.10 3 0.5 0.30 0.05 0.04 Switzerland, Valais 28 3.3 0.63 0.34 0.07 10 0.7 0.27 0.07 0.03 Switzerland, Vaud 70 4.3 0.53 0.54 0.07 18 0.8 0.22 0.09 0.03 Switzerland, Zurich 72 2.2 0.26 0.28 0.04 44 1.1 0.18 0.12 0.02*UK, England 2322 1.3 0.03 0.16 0.00 1415 0.6 0.02 0.07 0.00 UK, England, East Anglia 74 0.9 0.11 0.11 0.01 70 0.7 0.10 0.08 0.01 UK, England, Merseyside and Cheshire 130 1.6 0.14 0.20 0.02 71 0.6 0.08 0.08 0.01 UK, England, North Western 233 1.7 0.11 0.20 0.01 132 0.7 0.07 0.08 0.01 UK, England, Oxford Region 97 1.1 0.11 0.12 0.01 82 0.8 0.10 0.09 0.01*UK, England, South Thames 290 1.2 0.07 0.15 0.01 223 0.7 0.05 0.08 0.01*UK, England, South and Western Regions 328 1.3 0.08 0.16 0.01 227 0.7 0.05 0.08 0.01 UK, England, Trent 253 1.5 0.10 0.17 0.01 127 0.6 0.06 0.07 0.01*UK, England, West Midlands Region 258 1.3 0.09 0.15 0.01 130 0.6 0.06 0.07 0.01 UK, England, Yorkshire 166 1.3 0.10 0.15 0.01 91 0.5 0.06 0.06 0.01 UK, Northern Ireland 99 1.9 0.20 0.24 0.03 51 0.8 0.12 0.08 0.01 UK, Scotland 362 2.1 0.11 0.25 0.01 220 0.9 0.07 0.11 0.01*Yugoslavia, Vojvodina 231 3.1 0.21 0.39 0.03 37 0.4 0.07 0.05 0.01

Oceania Australia, Capital Territory 15 2.0 0.52 0.25 0.08 4 0.5 0.25 0.06 0.04 Australia, New South Wales 512 2.7 0.12 0.33 0.02 208 0.9 0.07 0.11 0.01 Australia, Northern Territory 10 2.8 0.99 0.27 0.11 4 1.4 0.74 0.17 0.11 Australia, Queensland 283 2.9 0.17 0.36 0.02 154 1.4 0.12 0.16 0.02 Australia, South 85 1.7 0.19 0.22 0.03 41 0.7 0.12 0.08 0.02 Australia, Tasmania 25 1.6 0.32 0.21 0.05 12 0.6 0.19 0.08 0.03 Australia, Victoria 291 2.1 0.13 0.26 0.02 180 1.1 0.08 0.12 0.01 Australia, Western 114 2.3 0.22 0.27 0.03 60 1.0 0.14 0.13 0.02 New Zealand 169 1.6 0.12 0.18 0.02 87 0.6 0.07 0.07 0.01 USA, Hawaii: White 44 4.9 0.76 0.65 0.11 16 1.6 0.43 0.20 0.06 USA, Hawaii: Chinese 7 2.5 1.04 0.34 0.15 4 1.5 0.83 0.16 0.09 USA, Hawaii: Filipino 16 2.4 0.67 0.28 0.10 4 0.8 0.38 0.11 0.06 USA, Hawaii: Hawaiian 11 2.6 0.80 0.28 0.10 1 0.2 0.15 - - USA, Hawaii: Japanese 22 2.0 0.46 0.25 0.06 17 1.4 0.48 0.10 0.04

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsMouth (C03-06)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 17 0.4 0.11 0.06 0.02 18 0.4 0.10 0.04 0.01*France, La Reunion 42 8.6 1.33 1.02 0.18 0 - - - - *The Gambia 2 0.5 0.34 - - 3 0.3 0.22 - - *Mali, Bamako 3 0.6 0.36 0.07 0.06 1 0.2 0.25 0.06 0.06*Uganda, Kyadondo County 18 1.9 0.55 0.25 0.09 15 1.7 0.47 0.21 0.07*Zimbabwe, Harare: African 19 1.3 0.35 0.19 0.07 7 0.8 0.38 0.12 0.07

America, Central and South*Argentina, Bahia Blanca 25 2.5 0.51 0.31 0.07 9 0.7 0.28 0.06 0.02*Argentina, Concordia 13 4.4 1.22 0.55 0.17 2 0.5 0.33 0.04 0.04*Brazil, Campinas 59 3.6 0.47 0.47 0.07 11 0.6 0.17 0.06 0.02*Brazil, Goiania 49 3.9 0.58 0.49 0.09 21 1.4 0.32 0.14 0.04 Colombia, Cali 43 1.6 0.25 0.25 0.05 51 1.5 0.23 0.18 0.03*Costa Rica 21 0.9 0.20 0.13 0.03 14 0.5 0.13 0.06 0.02*Cuba, Villa Clara 37 2.3 0.39 0.30 0.05 30 1.6 0.31 0.16 0.04*Ecuador, Quito 5 0.3 0.12 0.02 0.02 10 0.4 0.12 0.03 0.01*France, Martinique 34 3.4 0.59 0.47 0.09 9 0.6 0.23 0.06 0.03*USA, Puerto Rico 181 4.8 0.37 0.59 0.05 45 0.9 0.15 0.10 0.02*Uruguay, Montevideo 65 2.8 0.36 0.34 0.05 17 0.4 0.12 0.05 0.02

America, North Canada 2042 2.3 0.05 0.27 0.01 1231 1.1 0.03 0.13 0.00 Canada, Alberta 164 2.2 0.17 0.27 0.02 108 1.3 0.13 0.15 0.02 Canada, British Columbia 254 2.1 0.13 0.25 0.02 173 1.1 0.09 0.12 0.01 Canada, Manitoba 79 2.2 0.25 0.27 0.04 65 1.2 0.18 0.13 0.02 Canada, New Brunswick 50 2.1 0.31 0.26 0.04 33 1.1 0.21 0.14 0.03 Canada, Newfoundland 30 1.8 0.34 0.21 0.05 5 0.2 0.12 0.03 0.02 Canada, Northwest Territories 4 1.3 0.70 0.16 0.09 4 1.9 0.97 0.30 0.19 Canada, Nova Scotia 62 2.1 0.27 0.24 0.04 47 1.1 0.18 0.16 0.03 Canada, Ontario 826 2.4 0.09 0.29 0.01 523 1.2 0.06 0.14 0.01 Canada, Prince Edward Island 9 2.1 0.72 0.27 0.10 4 0.6 0.35 0.07 0.05+Canada, Quebec 523 2.3 0.10 0.28 0.01 231 0.9 0.06 0.10 0.01 Canada, Saskatchewan 40 1.2 0.20 0.15 0.03 36 0.8 0.16 0.10 0.02 Canada, Yukon 7 4.1 1.61 0.61 0.28 4 3.2 1.64 0.43 0.23 USA, California, Los Angeles: Non-Hispanic White 360 2.7 0.15 0.33 0.02 298 1.6 0.12 0.19 0.01 USA, California, Los Angeles: Hispanic White 70 2.0 0.25 0.28 0.04 43 0.8 0.12 0.06 0.01 USA, California, Los Angeles: Black 77 3.3 0.38 0.40 0.05 47 1.6 0.24 0.18 0.03 USA, California, Los Angeles: Chinese 3 0.5 0.28 0.03 0.03 4 0.4 0.20 0.05 0.03 USA, California, Los Angeles: Filipino 2 0.3 0.19 0.01 0.02 4 0.4 0.22 0.04 0.03 USA, California, Los Angeles: Japanese 4 0.7 0.36 0.08 0.05 7 1.0 0.41 0.04 0.03 USA, California, Los Angeles: Korean 3 0.7 0.40 0.14 0.09 6 1.0 0.40 0.11 0.06 USA, California, San Francisco: Non-Hispanic White 194 2.5 0.19 0.30 0.03 183 1.9 0.16 0.22 0.02 USA, California, San Francisco: Hispanic White 15 1.6 0.42 0.21 0.06 12 0.8 0.24 0.10 0.04 USA, California, San Francisco: Black 36 3.5 0.59 0.43 0.08 18 1.3 0.32 0.13 0.04 USA, Connecticut: White 293 3.0 0.18 0.38 0.03 196 1.5 0.12 0.18 0.02 USA, Connecticut: Black 42 7.5 1.16 0.80 0.14 16 2.0 0.52 0.22 0.06 USA, Georgia, Atlanta: White 107 2.6 0.26 0.30 0.04 95 1.7 0.19 0.22 0.03 USA, Georgia, Atlanta: Black 62 4.4 0.59 0.49 0.08 29 1.5 0.29 0.18 0.04 USA, Iowa 226 2.4 0.17 0.30 0.02 162 1.2 0.11 0.15 0.01 USA, Louisiana, Central Region: White 18 2.4 0.60 0.28 0.08 15 1.4 0.41 0.19 0.06 USA, Louisiana, Central Region: Black 5 3.5 1.58 0.39 0.19 5 1.4 0.75 0.11 0.08 USA, Louisiana, New Orleans: White 55 2.7 0.38 0.32 0.05 44 1.5 0.27 0.17 0.03 USA, Louisiana, New Orleans: Black 40 5.4 0.86 0.71 0.12 20 1.8 0.42 0.20 0.05 USA, Michigan, Detroit: White 282 3.0 0.18 0.36 0.02 181 1.3 0.11 0.15 0.01 USA, Michigan, Detroit: Black 114 5.2 0.50 0.65 0.06 57 1.8 0.25 0.22 0.03 USA, New Jersey: White 568 2.6 0.11 0.32 0.02 412 1.4 0.08 0.16 0.01 USA, New Jersey: Black 98 4.0 0.41 0.49 0.06 50 1.5 0.21 0.17 0.03 USA, New Mexico: Non-Hispanic White 70 2.3 0.29 0.30 0.04 53 1.2 0.19 0.13 0.03 USA, New Mexico: Hispanic White 29 2.1 0.39 0.23 0.05 14 0.7 0.20 0.08 0.03 USA, New Mexico: American Indian 2 0.5 0.34 - - 0 - - - - USA, New York State: White 1078 2.3 0.07 0.27 0.01 783 1.2 0.05 0.15 0.01 USA, New York State: Black 249 3.7 0.23 0.45 0.03 160 1.6 0.13 0.19 0.02 USA, Utah 58 1.3 0.17 0.15 0.02 41 0.6 0.11 0.07 0.02 USA, Washington, Seattle 298 2.7 0.16 0.33 0.02 236 1.7 0.12 0.21 0.02 USA, SEER: White 1560 2.5 0.07 0.31 0.01 1176 1.4 0.05 0.17 0.01 USA, SEER: Black 271 4.9 0.30 0.59 0.04 122 1.6 0.15 0.19 0.02

Asia*China, Beijing 47 0.6 0.08 0.07 0.01 40 0.5 0.07 0.06 0.01

+*China, Changle *China, Cixian *China, Hong Kong 302 1.6 0.10 0.21 0.01 140 0.7 0.06 0.08 0.01*China, Jiashan 7 0.6 0.24 0.09 0.04 2 0.2 0.11 0.03 0.02

+*China, Qidong County 11 0.4 0.12 0.05 0.02 6 0.1 0.06 0.02 0.01+*China, Shanghai 162 0.6 0.05 0.08 0.01 148 0.6 0.05 0.07 0.01

*China, Taiwan 1087 9.3 0.29 1.00 0.03 125 1.1 0.10 0.13 0.01*China, Tianjin 95 0.8 0.09 0.10 0.01 69 0.6 0.07 0.07 0.01+China, Wuhan 47 0.5 0.07 0.07 0.01 47 0.4 0.06 0.04 0.01

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsMouth (C03-06) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 455 6.5 0.32 0.76 0.04 150 2.7 0.23 0.34 0.03*India, Bangalore 220 2.7 0.19 0.34 0.03 515 7.5 0.34 0.94 0.05 India, Chennai (Madras) 504 6.6 0.30 0.84 0.04 396 5.4 0.27 0.66 0.04*India, Delhi 552 4.4 0.20 0.55 0.03 266 2.6 0.17 0.33 0.02*India, Karunagappally 58 6.6 0.88 0.82 0.13 33 3.5 0.62 0.50 0.10 India, Mumbai (Bombay) 1134 5.7 0.18 0.69 0.03 646 4.3 0.18 0.52 0.03*India, Nagpur 121 6.1 0.57 0.68 0.07 65 3.8 0.48 0.45 0.07*India, Poona 350 7.8 0.44 0.91 0.06 206 5.0 0.36 0.58 0.05*India, Trivandrum 207 9.3 0.65 1.13 0.09 118 4.7 0.43 0.56 0.06 Israel: Jews 107 0.9 0.09 0.11 0.01 106 0.7 0.07 0.07 0.01 Israel: Jews born in Israel 15 0.8 0.25 0.08 0.03 23 0.8 0.20 0.06 0.02 Israel: Jews born in Europe or America 60 1.0 0.14 0.12 0.02 56 0.6 0.12 0.06 0.01 Israel: Jews born in Africa or Asia 32 0.9 0.16 0.10 0.02 27 0.9 0.27 0.08 0.02 Israel: Non-Jews 10 0.6 0.21 0.06 0.02 4 0.2 0.09 0.01 0.01 Japan, Hiroshima 44 1.2 0.19 0.16 0.03 26 0.6 0.12 0.08 0.02*Japan, Miyagi Prefecture 95 1.1 0.11 0.14 0.02 55 0.5 0.07 0.05 0.01*Japan, Nagasaki Prefecture 138 2.2 0.20 0.27 0.03 85 0.9 0.11 0.10 0.01*Japan, Osaka Prefecture 438 1.4 0.07 0.17 0.01 258 0.6 0.04 0.07 0.01*Japan, Saga Prefecture 48 1.4 0.20 0.16 0.03 42 0.7 0.12 0.07 0.02*Japan, Yamagata Prefecture 60 1.0 0.14 0.14 0.02 28 0.4 0.09 0.04 0.01*Korea, Busan 39 1.5 0.27 0.20 0.04 19 0.5 0.11 0.05 0.02*Korea, Daegu 27 1.4 0.28 0.21 0.05 7 0.3 0.11 0.03 0.02*Korea, Kangwha County 3 1.0 0.60 0.05 0.05 0 - - - - *Korea, Seoul 243 1.4 0.10 0.16 0.01 100 0.4 0.04 0.05 0.01*Kuwait: Kuwaitis 9 1.4 0.49 0.18 0.08 4 0.5 0.30 0.09 0.06*Kuwait: Non-Kuwaitis 21 1.4 0.58 0.23 0.13 4 0.5 0.40 0.06 0.05*Oman: Omani 26 1.3 0.27 0.18 0.04 19 1.1 0.26 0.13 0.04*Pakistan, South Karachi 143 9.1 0.82 1.10 0.12 108 9.3 0.95 1.04 0.12*Philippines, Manila 151 2.8 0.24 0.31 0.03 171 2.6 0.21 0.32 0.03*Philippines, Rizal 110 2.0 0.21 0.26 0.03 123 1.9 0.18 0.25 0.03 Singapore: Chinese 83 1.6 0.18 0.18 0.03 30 0.4 0.08 0.05 0.01 Singapore: Indian 24 3.6 0.77 0.37 0.09 18 5.1 1.24 0.71 0.20 Singapore: Malay 1 0.1 0.13 0.03 0.03 3 0.4 0.21 0.04 0.03*Thailand, Bangkok 133 2.1 0.19 0.24 0.03 91 1.2 0.13 0.12 0.02*Thailand, Chiang Mai 73 2.1 0.25 0.25 0.04 54 1.4 0.20 0.13 0.02*Thailand, Khon Kaen 44 1.4 0.21 0.18 0.03 75 2.2 0.26 0.27 0.04*Thailand, Lampang 26 1.3 0.25 0.14 0.04 35 1.6 0.27 0.18 0.04*Thailand, Songkhla 73 4.1 0.48 0.57 0.08 36 1.6 0.28 0.19 0.04*Viet Nam, Hanoi 39 0.8 0.14 - - 57 1.1 0.15 - - *Viet Nam, Ho Chi Minh City 110 1.9 0.19 0.24 0.03 121 1.3 0.13 0.14 0.02

Europe Austria, Tyrol 73 3.7 0.44 0.46 0.06 25 1.1 0.23 0.11 0.03 Austria, Vorarlberg 23 2.3 0.49 0.25 0.06 10 0.7 0.23 0.08 0.03

+*Belarus 1005 3.6 0.12 0.43 0.01 133 0.3 0.03 0.03 0.00*Belgium, Flanders, (excl. Limburg) 259 3.5 0.22 0.40 0.03 102 1.2 0.13 0.14 0.02*Belgium, Limburg 29 2.6 0.50 0.28 0.06 9 0.7 0.25 0.07 0.03*Croatia 456 3.0 0.14 0.37 0.02 87 0.5 0.05 0.06 0.01 Czech Republic 790 2.4 0.09 0.27 0.01 225 0.5 0.04 0.06 0.00 Denmark 548 3.0 0.13 0.35 0.02 343 1.4 0.08 0.16 0.01 Estonia 144 3.3 0.28 0.40 0.04 36 0.5 0.08 0.06 0.01 Finland 217 1.3 0.09 0.14 0.01 210 0.8 0.06 0.09 0.01 France, Bas-Rhin 268 9.1 0.56 1.10 0.07 49 1.3 0.21 0.15 0.02*France, Calvados 154 8.1 0.66 0.98 0.08 27 1.1 0.23 0.12 0.03 France, Cote d’Or France, Doubs 92 6.0 0.63 0.69 0.08 19 1.1 0.26 0.14 0.03 France, Haut-Rhin 166 7.8 0.61 0.94 0.08 26 0.9 0.19 0.10 0.02*France, Herault 133 4.5 0.41 0.51 0.05 47 1.3 0.21 0.13 0.02 France, Isere 181 5.7 0.43 0.68 0.05 32 0.8 0.15 0.08 0.02*France, Manche 89 6.8 0.74 0.71 0.08 26 1.6 0.36 0.17 0.04*France, Somme 158 9.3 0.76 1.07 0.09 30 1.3 0.26 0.15 0.03 France, Tarn 38 2.9 0.50 0.35 0.06 16 0.8 0.27 0.09 0.03 Germany, Saarland 216 5.7 0.39 0.62 0.04 67 1.4 0.19 0.17 0.02 Iceland 11 1.4 0.44 0.14 0.05 17 1.4 0.38 0.15 0.05 Ireland 166 1.9 0.15 0.24 0.02 77 0.7 0.09 0.08 0.01 Italy, Biella Province 17 3.4 0.87 0.45 0.12 13 1.8 0.59 0.25 0.08 Italy, Ferrara Province 34 1.9 0.34 0.25 0.05 12 0.4 0.14 0.05 0.02*Italy, Florence 89 1.8 0.21 0.20 0.02 60 0.8 0.13 0.09 0.02 Italy, Genoa Province 93 2.7 0.30 0.35 0.04 35 0.6 0.13 0.07 0.02 Italy, Liguria Italy, Macerata Province 16 1.1 0.30 0.15 0.04 5 0.2 0.10 0.02 0.01 Italy, Modena Province 33 1.3 0.23 0.18 0.03 12 0.4 0.14 0.05 0.02 Italy, North East 252 5.0 0.33 0.59 0.04 87 1.2 0.15 0.13 0.02

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsMouth (C03-06) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 36 2.4 0.41 0.28 0.05 19 0.9 0.24 0.09 0.03*Italy, Ragusa Province 6 0.6 0.24 0.08 0.03 4 0.2 0.14 0.01 0.01 Italy, Romagna 43 1.0 0.16 0.12 0.02 22 0.4 0.10 0.04 0.01 Italy, Sassari 51 3.0 0.44 0.33 0.05 11 0.5 0.17 0.06 0.02 Italy, Torino 94 2.4 0.26 0.29 0.03 47 0.8 0.13 0.09 0.02 Italy, Umbria 53 2.1 0.31 0.24 0.04 14 0.6 0.18 0.06 0.02 Italy, Varese Province 98 3.2 0.32 0.39 0.04 26 0.6 0.13 0.06 0.02 Italy, Venetian Region 275 5.0 0.31 0.58 0.04 100 1.3 0.14 0.15 0.02*Latvia 214 2.9 0.20 0.36 0.03 44 0.4 0.06 0.05 0.01 Lithuania 254 2.5 0.16 0.29 0.02 41 0.2 0.04 0.03 0.01 Malta 26 2.3 0.45 0.27 0.06 10 0.7 0.24 0.11 0.04 The Netherlands 1250 2.5 0.07 0.29 0.01 828 1.4 0.05 0.15 0.01 The Netherlands, Eindhoven 72 2.2 0.26 0.28 0.04 52 1.5 0.22 0.18 0.03 The Netherlands, Maastricht 87 2.8 0.31 0.33 0.04 36 1.0 0.17 0.11 0.02 Norway 320 2.1 0.12 0.26 0.02 230 1.1 0.09 0.12 0.01*Poland, Cracow 33 1.5 0.26 0.17 0.03 11 0.4 0.11 0.04 0.01*Poland, Kielce 38 1.5 0.24 0.18 0.03 15 0.4 0.11 0.04 0.01*Poland, Lower Silesia 177 2.2 0.17 0.26 0.02 52 0.5 0.07 0.05 0.01 Poland, Warsaw City 111 2.1 0.20 0.25 0.03 52 0.8 0.13 0.08 0.01*Portugal, Vila Nova de Gaia 21 2.8 0.63 0.30 0.07 6 0.7 0.28 0.07 0.04*Russia, St Petersburg 450 4.2 0.20 0.51 0.03 97 0.5 0.05 0.05 0.01 Slovakia 799 5.6 0.20 0.63 0.02 110 0.6 0.06 0.06 0.01 Slovenia 296 4.8 0.28 0.58 0.04 52 0.7 0.10 0.07 0.01 Spain, Albacete 32 2.8 0.51 0.31 0.06 6 0.4 0.17 0.03 0.02 Spain, Asturias 90 2.8 0.31 0.33 0.04 29 0.7 0.20 0.06 0.02*Spain, Canary Islands 122 5.5 0.50 0.68 0.07 14 0.5 0.14 0.05 0.02 Spain, Cuenca 11 1.3 0.46 0.13 0.05 0 - - - - Spain, Girona 39 3.7 0.62 0.38 0.07 10 0.6 0.23 0.07 0.03 Spain, Granada 90 3.5 0.38 0.44 0.05 17 0.5 0.12 0.05 0.02 Spain, Mallorca 51 3.3 0.47 0.36 0.05 23 1.1 0.25 0.13 0.03 Spain, Murcia 97 3.7 0.39 0.47 0.05 29 0.9 0.17 0.09 0.02 Spain, Navarra 72 3.8 0.47 0.49 0.06 17 0.6 0.17 0.08 0.02 Spain, Tarragona 55 2.6 0.37 0.32 0.05 7 0.3 0.13 0.02 0.01*Spain, Zaragoza 99 3.3 0.35 0.36 0.04 30 0.7 0.15 0.09 0.02 Sweden 529 1.5 0.07 0.18 0.01 442 0.9 0.05 0.11 0.01 Switzerland, Basel 62 3.7 0.49 0.39 0.06 31 1.3 0.27 0.14 0.03 Switzerland, Geneva 54 3.8 0.53 0.45 0.07 27 1.8 0.35 0.22 0.05 Switzerland, Graubunden and Glarus 25 3.0 0.63 0.35 0.08 9 1.0 0.36 0.13 0.05 Switzerland, Neuchatel 16 3.5 0.90 0.39 0.11 7 1.3 0.55 0.12 0.06 Switzerland, St Gall-Appenzell 29 1.8 0.33 0.25 0.05 11 0.5 0.17 0.06 0.02*Switzerland, Ticino 16 3.6 0.91 0.42 0.12 2 0.3 0.28 0.02 0.02 Switzerland, Valais 31 3.8 0.69 0.45 0.08 12 1.1 0.35 0.14 0.05 Switzerland, Vaud 68 4.3 0.53 0.50 0.07 34 1.7 0.32 0.20 0.04 Switzerland, Zurich 75 2.3 0.27 0.25 0.03 44 1.0 0.17 0.11 0.02*UK, England 2710 1.6 0.03 0.18 0.00 1826 0.8 0.02 0.09 0.00 UK, England, East Anglia 99 1.2 0.13 0.14 0.02 83 0.7 0.09 0.09 0.01 UK, England, Merseyside and Cheshire 186 2.2 0.17 0.25 0.02 96 0.8 0.10 0.10 0.01 UK, England, North Western 315 2.3 0.13 0.27 0.02 171 0.9 0.08 0.11 0.01 UK, England, Oxford Region 118 1.4 0.13 0.17 0.02 73 0.6 0.08 0.07 0.01*UK, England, South Thames 380 1.6 0.09 0.19 0.01 268 0.8 0.06 0.09 0.01*UK, England, South and Western Regions 314 1.2 0.07 0.15 0.01 292 0.8 0.06 0.09 0.01 UK, England, Trent 267 1.5 0.10 0.17 0.01 167 0.7 0.06 0.09 0.01*UK, England, West Midlands Region 277 1.5 0.09 0.17 0.01 214 0.9 0.07 0.10 0.01 UK, England, Yorkshire 222 1.6 0.11 0.19 0.01 168 0.9 0.08 0.11 0.01 UK, Northern Ireland 113 2.3 0.22 0.29 0.03 72 1.0 0.13 0.11 0.02 UK, Scotland 578 3.3 0.14 0.40 0.02 337 1.4 0.09 0.16 0.01*Yugoslavia, Vojvodina 147 2.0 0.17 0.24 0.02 37 0.4 0.07 0.05 0.01

Oceania Australia, Capital Territory 15 2.2 0.59 0.28 0.08 12 1.4 0.40 0.19 0.07 Australia, New South Wales 510 2.7 0.12 0.34 0.02 279 1.1 0.07 0.12 0.01 Australia, Northern Territory 17 3.6 0.90 0.35 0.09 4 1.3 0.67 0.09 0.06 Australia, Queensland 264 2.6 0.16 0.32 0.02 153 1.3 0.11 0.16 0.02 Australia, South 92 1.9 0.20 0.24 0.03 60 1.0 0.15 0.12 0.02 Australia, Tasmania 31 2.0 0.36 0.31 0.06 21 1.4 0.31 0.14 0.03 Australia, Victoria 312 2.2 0.13 0.28 0.02 214 1.3 0.09 0.14 0.01 Australia, Western 163 3.3 0.26 0.41 0.04 78 1.4 0.17 0.18 0.02 New Zealand 151 1.4 0.12 0.18 0.02 103 0.7 0.08 0.08 0.01 USA, Hawaii: White 28 3.2 0.62 0.44 0.09 18 1.9 0.45 0.24 0.07 USA, Hawaii: Chinese 3 1.3 0.83 0.10 0.07 3 0.5 0.33 0.07 0.07 USA, Hawaii: Filipino 10 1.5 0.54 0.17 0.08 4 0.7 0.35 0.08 0.05 USA, Hawaii: Hawaiian 12 2.8 0.81 0.38 0.12 7 1.1 0.43 0.08 0.05 USA, Hawaii: Japanese 26 1.8 0.39 0.24 0.06 10 0.6 0.22 0.06 0.03

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsSalivary glands (C07-08)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 18 0.4 0.11 0.04 0.01 9 0.2 0.08 0.03 0.01*France, La Reunion 3 0.6 0.33 0.08 0.06 2 0.3 0.22 0.03 0.02*The Gambia 2 0.1 0.09 - - 2 - - - - *Mali, Bamako 0 - - - - 0 - - - - *Uganda, Kyadondo County 4 0.4 0.22 0.06 0.05 9 0.8 0.32 0.10 0.05*Zimbabwe, Harare: African 15 0.9 0.29 0.08 0.03 17 0.7 0.29 0.10 0.07

America, Central and South*Argentina, Bahia Blanca 8 0.8 0.28 0.10 0.04 9 0.7 0.24 0.06 0.02*Argentina, Concordia 3 0.9 0.53 0.14 0.09 3 0.9 0.50 0.09 0.06*Brazil, Campinas 12 0.7 0.21 0.08 0.03 6 0.3 0.11 0.02 0.01*Brazil, Goiania 18 1.3 0.33 0.16 0.04 16 1.2 0.30 0.19 0.06 Colombia, Cali 25 0.8 0.17 0.08 0.02 19 0.5 0.12 0.04 0.01*Costa Rica 20 0.7 0.16 0.05 0.01 21 0.7 0.15 0.08 0.02*Cuba, Villa Clara 15 0.8 0.22 0.05 0.02 9 0.6 0.21 0.07 0.03*Ecuador, Quito 19 0.9 0.22 0.11 0.03 13 0.5 0.15 0.06 0.02*France, Martinique 4 0.4 0.19 0.04 0.03 2 0.2 0.12 0.02 0.02*USA, Puerto Rico 36 0.9 0.16 0.10 0.02 16 0.4 0.10 0.03 0.01*Uruguay, Montevideo 22 0.9 0.20 0.09 0.02 18 0.6 0.16 0.06 0.02

America, North Canada 830 0.9 0.03 0.09 0.00 634 0.6 0.03 0.06 0.00 Canada, Alberta 56 0.7 0.10 0.09 0.01 47 0.6 0.08 0.06 0.01 Canada, British Columbia 100 0.8 0.08 0.09 0.01 98 0.7 0.08 0.07 0.01 Canada, Manitoba 25 0.7 0.14 0.07 0.02 22 0.5 0.13 0.05 0.01 Canada, New Brunswick 20 0.9 0.20 0.10 0.03 20 0.8 0.20 0.08 0.02 Canada, Newfoundland 10 0.5 0.18 0.08 0.03 4 0.2 0.11 0.02 0.01 Canada, Northwest Territories 14 4.0 1.17 0.40 0.13 9 3.8 1.39 0.43 0.19 Canada, Nova Scotia 34 1.1 0.19 0.10 0.02 20 0.6 0.14 0.07 0.02 Canada, Ontario 349 1.0 0.05 0.10 0.01 243 0.6 0.04 0.06 0.00 Canada, Prince Edward Island 5 0.9 0.40 0.09 0.07 1 0.3 0.26 0.02 0.02+Canada, Quebec 200 0.9 0.06 0.10 0.01 148 0.6 0.05 0.06 0.01 Canada, Saskatchewan 26 0.6 0.13 0.06 0.02 26 0.5 0.12 0.05 0.02 Canada, Yukon 1 0.5 0.46 0.05 0.05 0 - - - - USA, California, Los Angeles: Non-Hispanic White 162 1.1 0.09 0.11 0.01 113 0.7 0.09 0.07 0.01 USA, California, Los Angeles: Hispanic White 40 0.9 0.16 0.11 0.03 36 0.6 0.11 0.06 0.01 USA, California, Los Angeles: Black 21 0.9 0.19 0.10 0.03 26 0.8 0.16 0.08 0.02 USA, California, Los Angeles: Chinese 5 0.5 0.24 0.03 0.02 5 0.5 0.21 0.05 0.03 USA, California, Los Angeles: Filipino 5 0.8 0.34 0.08 0.04 2 0.2 0.14 0.02 0.01 USA, California, Los Angeles: Japanese 2 0.3 0.21 0.04 0.03 4 1.0 0.56 0.08 0.05 USA, California, Los Angeles: Korean 3 0.7 0.40 0.07 0.04 3 0.5 0.29 0.03 0.02 USA, California, San Francisco: Non-Hispanic White 88 1.2 0.13 0.14 0.02 65 0.8 0.12 0.09 0.01 USA, California, San Francisco: Hispanic White 5 0.5 0.22 0.05 0.03 13 1.0 0.28 0.12 0.04 USA, California, San Francisco: Black 12 1.0 0.29 0.10 0.03 12 0.8 0.23 0.09 0.03 USA, Connecticut: White 97 0.9 0.10 0.11 0.01 85 0.7 0.08 0.07 0.01 USA, Connecticut: Black 8 1.4 0.51 0.18 0.07 4 0.5 0.26 0.05 0.03 USA, Georgia, Atlanta: White 42 1.1 0.17 0.12 0.02 39 0.8 0.14 0.07 0.01 USA, Georgia, Atlanta: Black 10 0.7 0.24 0.05 0.02 14 0.6 0.16 0.06 0.02 USA, Iowa 108 1.1 0.11 0.12 0.01 74 0.6 0.08 0.05 0.01 USA, Louisiana, Central Region: White 8 1.2 0.44 0.16 0.06 6 0.7 0.30 0.07 0.03 USA, Louisiana, Central Region: Black 1 0.5 0.52 0.13 0.13 0 - - - - USA, Louisiana, New Orleans: White 18 0.8 0.20 0.07 0.02 17 0.8 0.20 0.08 0.02 USA, Louisiana, New Orleans: Black 7 0.8 0.32 0.09 0.05 10 0.9 0.30 0.12 0.04 USA, Michigan, Detroit: White 108 1.1 0.11 0.11 0.01 84 0.7 0.08 0.08 0.01 USA, Michigan, Detroit: Black 25 1.1 0.22 0.13 0.03 19 0.7 0.15 0.07 0.02 USA, New Jersey: White 236 1.0 0.07 0.11 0.01 203 0.7 0.06 0.08 0.01 USA, New Jersey: Black 33 1.2 0.22 0.14 0.03 25 0.7 0.15 0.08 0.02 USA, New Mexico: Non-Hispanic White 37 1.1 0.19 0.14 0.03 29 0.8 0.17 0.08 0.02 USA, New Mexico: Hispanic White 15 0.9 0.25 0.09 0.03 13 0.9 0.24 0.10 0.03 USA, New Mexico: American Indian 1 0.2 0.24 - - 1 0.3 0.27 0.02 0.02 USA, New York State: White 540 1.1 0.05 0.13 0.01 400 0.7 0.04 0.07 0.00 USA, New York State: Black 57 0.8 0.11 0.09 0.01 73 0.7 0.09 0.09 0.01 USA, Utah 58 1.1 0.15 0.11 0.02 51 1.0 0.15 0.11 0.02 USA, Washington, Seattle 125 1.1 0.10 0.12 0.01 86 0.7 0.08 0.07 0.01 USA, SEER: White 679 1.1 0.04 0.12 0.01 538 0.7 0.04 0.08 0.00 USA, SEER: Black 60 1.0 0.13 0.11 0.02 51 0.6 0.09 0.07 0.01

Asia*China, Beijing 30 0.4 0.07 0.05 0.01 14 0.2 0.06 0.02 0.00

+*China, Changle *China, Cixian *China, Hong Kong 164 0.9 0.07 0.10 0.01 141 0.8 0.07 0.08 0.01*China, Jiashan 4 0.3 0.18 0.03 0.02 2 0.2 0.13 0.02 0.01

+*China, Qidong County 7 0.2 0.09 0.03 0.01 4 0.1 0.07 0.02 0.01+*China, Shanghai 152 0.6 0.05 0.07 0.01 120 0.5 0.05 0.06 0.01

*China, Taiwan 78 0.7 0.08 0.07 0.01 38 0.3 0.06 0.03 0.01*China, Tianjin 41 0.3 0.06 0.04 0.01 44 0.3 0.05 0.04 0.01+China, Wuhan 35 0.3 0.06 0.04 0.01 25 0.2 0.05 0.02 0.00

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsSalivary glands (C07-08) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 38 0.6 0.10 0.06 0.01 24 0.4 0.08 0.05 0.01*India, Bangalore 35 0.4 0.07 0.04 0.01 28 0.3 0.06 0.03 0.01 India, Chennai (Madras) 47 0.5 0.08 0.06 0.01 25 0.3 0.06 0.04 0.01*India, Delhi 80 0.5 0.07 0.06 0.01 60 0.5 0.07 0.05 0.01*India, Karunagappally 3 0.3 0.15 0.02 0.01 2 0.2 0.12 0.01 0.01 India, Mumbai (Bombay) 100 0.5 0.06 0.06 0.01 59 0.3 0.04 0.03 0.01*India, Nagpur 12 0.6 0.19 0.07 0.03 13 0.6 0.19 0.05 0.02*India, Poona 28 0.6 0.13 0.07 0.02 12 0.2 0.07 0.03 0.01*India, Trivandrum 13 0.5 0.15 0.05 0.02 10 0.4 0.12 0.05 0.02 Israel: Jews 114 0.9 0.09 0.09 0.01 87 0.6 0.07 0.06 0.01 Israel: Jews born in Israel 28 0.9 0.20 0.10 0.03 14 0.3 0.09 0.03 0.01 Israel: Jews born in Europe or America 60 0.8 0.14 0.08 0.02 54 0.7 0.13 0.07 0.01 Israel: Jews born in Africa or Asia 26 0.7 0.16 0.09 0.02 19 0.9 0.44 0.08 0.03 Israel: Non-Jews 5 0.5 0.22 0.07 0.03 7 0.4 0.17 0.03 0.02 Japan, Hiroshima 21 0.6 0.13 0.07 0.02 15 0.4 0.10 0.04 0.01*Japan, Miyagi Prefecture 36 0.4 0.07 0.04 0.01 24 0.3 0.06 0.03 0.01*Japan, Nagasaki Prefecture 37 0.6 0.10 0.07 0.01 23 0.4 0.09 0.03 0.01*Japan, Osaka Prefecture 127 0.4 0.04 0.05 0.01 77 0.2 0.03 0.02 0.00*Japan, Saga Prefecture 16 0.5 0.12 0.05 0.02 14 0.4 0.11 0.04 0.01*Japan, Yamagata Prefecture 19 0.3 0.08 0.03 0.01 10 0.2 0.06 0.02 0.01*Korea, Busan 12 0.3 0.10 0.04 0.01 14 0.3 0.09 0.04 0.01*Korea, Daegu 10 0.4 0.14 0.05 0.02 12 0.5 0.14 0.05 0.01*Korea, Kangwha County 2 0.8 0.53 0.09 0.07 0 - - - - *Korea, Seoul 112 0.5 0.05 0.05 0.01 93 0.4 0.04 0.04 0.00*Kuwait: Kuwaitis 3 0.4 0.28 0.06 0.04 3 0.2 0.12 0.01 0.01*Kuwait: Non-Kuwaitis 11 1.3 0.80 0.14 0.12 4 0.2 0.11 0.01 0.01*Oman: Omani 5 0.2 0.12 0.03 0.01 4 0.2 0.09 0.01 0.01*Pakistan, South Karachi 21 1.4 0.32 0.20 0.05 12 0.9 0.29 0.13 0.05*Philippines, Manila 92 1.4 0.17 0.18 0.03 77 1.0 0.13 0.14 0.02*Philippines, Rizal 72 1.1 0.15 0.12 0.02 61 0.7 0.10 0.09 0.02 Singapore: Chinese 48 0.8 0.12 0.09 0.02 40 0.6 0.10 0.07 0.01 Singapore: Indian 3 0.7 0.40 0.02 0.02 2 0.5 0.38 0.02 0.02 Singapore: Malay 4 0.4 0.21 0.07 0.04 2 0.2 0.17 0.03 0.02*Thailand, Bangkok 29 0.4 0.07 0.03 0.01 29 0.3 0.06 0.03 0.01*Thailand, Chiang Mai 11 0.3 0.09 0.05 0.02 15 0.4 0.11 0.05 0.01*Thailand, Khon Kaen 8 0.3 0.09 0.03 0.01 15 0.4 0.10 0.04 0.01*Thailand, Lampang 9 0.4 0.15 0.06 0.03 9 0.4 0.14 0.04 0.01*Thailand, Songkhla 4 0.2 0.11 0.03 0.02 6 0.3 0.11 0.03 0.01*Viet Nam, Hanoi 32 0.7 0.13 - - 27 0.5 0.10 - - *Viet Nam, Ho Chi Minh City 37 0.6 0.10 0.07 0.01 22 0.2 0.05 0.03 0.01

Europe Austria, Tyrol 24 1.1 0.23 0.09 0.02 16 0.6 0.16 0.06 0.02 Austria, Vorarlberg 9 0.9 0.29 0.10 0.04 1 0.1 0.09 0.01 0.01

+*Belarus 219 0.8 0.05 0.09 0.01 160 0.4 0.03 0.04 0.00*Belgium, Flanders, (excl. Limburg) 68 0.9 0.12 0.11 0.01 34 0.4 0.07 0.04 0.01*Belgium, Limburg 9 0.7 0.24 0.08 0.03 6 0.7 0.30 0.07 0.03*Croatia 277 1.9 0.11 0.21 0.01 113 0.6 0.06 0.06 0.01 Czech Republic 315 1.0 0.05 0.10 0.01 243 0.5 0.04 0.06 0.00 Denmark 145 0.7 0.06 0.08 0.01 112 0.5 0.05 0.05 0.01 Estonia 42 0.9 0.15 0.10 0.02 28 0.4 0.09 0.04 0.01 Finland 136 0.8 0.07 0.09 0.01 115 0.6 0.06 0.05 0.01 France, Bas-Rhin 26 0.8 0.17 0.09 0.02 25 0.7 0.15 0.07 0.02*France, Calvados 9 0.4 0.15 0.03 0.01 14 0.5 0.14 0.04 0.02 France, Cote d’Or France, Doubs 12 0.8 0.23 0.09 0.03 3 0.2 0.11 0.01 0.01 France, Haut-Rhin 28 1.2 0.23 0.15 0.03 10 0.4 0.15 0.04 0.01*France, Herault 28 0.8 0.16 0.11 0.02 19 0.5 0.12 0.05 0.01 France, Isere 22 0.7 0.14 0.08 0.02 20 0.5 0.13 0.05 0.01*France, Manche 13 0.9 0.25 0.08 0.03 6 0.2 0.11 0.03 0.02*France, Somme 4 0.2 0.09 0.03 0.02 13 0.5 0.16 0.06 0.02 France, Tarn 9 0.6 0.22 0.07 0.03 8 0.5 0.20 0.05 0.02 Germany, Saarland 26 0.6 0.12 0.07 0.02 27 0.5 0.12 0.06 0.01 Iceland 4 0.4 0.23 0.03 0.02 4 0.5 0.27 0.04 0.03 Ireland 81 0.9 0.10 0.10 0.01 46 0.4 0.07 0.04 0.01 Italy, Biella Province 5 1.0 0.47 0.11 0.05 1 0.0 0.04 - - Italy, Ferrara Province 9 0.6 0.20 0.05 0.02 9 0.4 0.18 0.05 0.02*Italy, Florence 26 0.5 0.11 0.05 0.01 26 0.5 0.12 0.05 0.01 Italy, Genoa Province 25 0.7 0.16 0.07 0.02 22 0.4 0.10 0.05 0.01 Italy, Liguria Italy, Macerata Province 12 1.0 0.31 0.09 0.03 4 0.4 0.20 0.04 0.02 Italy, Modena Province 20 0.7 0.17 0.09 0.02 17 0.5 0.14 0.06 0.02 Italy, North East 50 1.0 0.15 0.10 0.02 27 0.5 0.10 0.05 0.01

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsSalivary glands (C07-08) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 12 0.6 0.19 0.08 0.03 15 0.9 0.30 0.09 0.03*Italy, Ragusa Province 5 0.4 0.18 0.04 0.02 2 0.1 0.12 0.01 0.01 Italy, Romagna 35 0.9 0.18 0.10 0.02 20 0.4 0.10 0.04 0.01 Italy, Sassari 14 0.8 0.22 0.08 0.03 9 0.5 0.17 0.05 0.02 Italy, Torino 30 0.8 0.15 0.09 0.02 29 0.5 0.11 0.06 0.01 Italy, Umbria 15 0.8 0.26 0.07 0.02 13 0.5 0.16 0.04 0.02 Italy, Varese Province 23 0.8 0.21 0.08 0.02 9 0.2 0.07 0.02 0.01 Italy, Venetian Region 45 0.8 0.12 0.09 0.02 43 0.5 0.09 0.06 0.01*Latvia 48 0.6 0.09 0.07 0.01 47 0.4 0.06 0.06 0.01 Lithuania 93 0.9 0.09 0.10 0.01 50 0.3 0.05 0.03 0.01 Malta 4 0.3 0.17 0.03 0.02 11 0.7 0.24 0.06 0.03 The Netherlands 294 0.6 0.03 0.07 0.00 231 0.4 0.03 0.04 0.00 The Netherlands, Eindhoven 16 0.5 0.12 0.07 0.02 16 0.4 0.12 0.05 0.02 The Netherlands, Maastricht 16 0.6 0.17 0.07 0.02 13 0.3 0.09 0.03 0.01 Norway 89 0.5 0.06 0.07 0.01 94 0.5 0.06 0.06 0.01*Poland, Cracow 23 1.0 0.21 0.13 0.03 12 0.5 0.18 0.04 0.01*Poland, Kielce 10 0.4 0.12 0.04 0.02 16 0.4 0.12 0.05 0.01*Poland, Lower Silesia 66 0.8 0.10 0.10 0.01 53 0.5 0.07 0.05 0.01 Poland, Warsaw City 40 0.7 0.11 0.09 0.02 41 0.5 0.09 0.05 0.01*Portugal, Vila Nova de Gaia 1 0.1 0.10 - - 4 0.6 0.34 0.04 0.02*Russia, St Petersburg 78 0.7 0.09 0.08 0.01 89 0.5 0.05 0.06 0.01 Slovakia 134 0.9 0.08 0.10 0.01 83 0.4 0.05 0.04 0.01 Slovenia 31 0.5 0.10 0.05 0.01 34 0.4 0.07 0.04 0.01 Spain, Albacete 8 0.5 0.20 0.06 0.03 4 0.2 0.13 0.03 0.02 Spain, Asturias 25 0.7 0.14 0.07 0.02 17 0.5 0.13 0.04 0.01*Spain, Canary Islands 25 1.1 0.22 0.14 0.03 18 0.6 0.14 0.04 0.01 Spain, Cuenca 9 0.9 0.37 0.09 0.04 4 0.2 0.12 0.03 0.02 Spain, Girona 10 0.7 0.23 0.06 0.03 8 0.4 0.17 0.05 0.03 Spain, Granada 14 0.5 0.13 0.05 0.02 8 0.2 0.09 0.03 0.01 Spain, Mallorca 3 0.2 0.10 0.02 0.01 2 0.1 0.10 0.01 0.01 Spain, Murcia 22 0.7 0.16 0.08 0.02 10 0.3 0.11 0.03 0.01 Spain, Navarra 14 0.8 0.21 0.08 0.02 9 0.3 0.12 0.04 0.02 Spain, Tarragona 17 0.7 0.17 0.07 0.02 10 0.3 0.12 0.03 0.01*Spain, Zaragoza 28 0.8 0.16 0.08 0.02 9 0.2 0.08 0.02 0.01 Sweden 216 0.6 0.04 0.07 0.01 206 0.5 0.04 0.05 0.00 Switzerland, Basel 8 0.4 0.17 0.05 0.02 10 0.6 0.21 0.05 0.02 Switzerland, Geneva 8 0.5 0.19 0.06 0.03 9 0.6 0.21 0.09 0.03 Switzerland, Graubunden and Glarus 12 1.6 0.48 0.15 0.05 4 0.5 0.27 0.07 0.04 Switzerland, Neuchatel 1 0.2 0.24 0.03 0.03 4 0.7 0.39 0.07 0.04 Switzerland, St Gall-Appenzell 16 0.8 0.20 0.11 0.04 6 0.4 0.16 0.03 0.01*Switzerland, Ticino 2 0.3 0.26 0.03 0.03 4 0.7 0.36 0.08 0.05 Switzerland, Valais 6 0.7 0.28 0.07 0.03 3 0.2 0.15 0.03 0.02 Switzerland, Vaud 9 0.5 0.16 0.05 0.02 15 0.7 0.20 0.05 0.02 Switzerland, Zurich 18 0.5 0.13 0.08 0.02 19 0.5 0.15 0.05 0.01*UK, England 1061 0.6 0.02 0.06 0.00 883 0.4 0.02 0.04 0.00 UK, England, East Anglia 44 0.5 0.08 0.05 0.01 41 0.5 0.08 0.05 0.01 UK, England, Merseyside and Cheshire 59 0.7 0.09 0.08 0.01 34 0.3 0.06 0.03 0.01 UK, England, North Western 87 0.6 0.06 0.06 0.01 88 0.6 0.07 0.06 0.01 UK, England, Oxford Region 68 0.7 0.09 0.07 0.01 58 0.6 0.08 0.06 0.01*UK, England, South Thames 163 0.6 0.05 0.06 0.01 116 0.4 0.04 0.04 0.00*UK, England, South and Western Regions 192 0.7 0.06 0.07 0.01 125 0.4 0.05 0.05 0.00 UK, England, Trent 83 0.5 0.05 0.05 0.01 70 0.4 0.05 0.04 0.01*UK, England, West Midlands Region 102 0.5 0.05 0.06 0.01 92 0.4 0.05 0.04 0.01 UK, England, Yorkshire 66 0.5 0.06 0.05 0.01 69 0.4 0.06 0.05 0.01 UK, Northern Ireland 48 1.0 0.14 0.11 0.02 32 0.5 0.09 0.05 0.01 UK, Scotland 115 0.6 0.06 0.07 0.01 106 0.4 0.05 0.05 0.01*Yugoslavia, Vojvodina 49 0.7 0.10 0.08 0.01 36 0.5 0.08 0.05 0.01

Oceania Australia, Capital Territory 14 1.8 0.49 0.13 0.05 7 0.6 0.25 0.02 0.01 Australia, New South Wales 199 1.0 0.07 0.11 0.01 121 0.6 0.06 0.06 0.01 Australia, Northern Territory 5 1.9 0.93 0.24 0.16 1 0.5 0.54 0.07 0.07 Australia, Queensland 137 1.3 0.11 0.13 0.01 79 0.7 0.08 0.07 0.01 Australia, South 62 1.2 0.15 0.11 0.02 33 0.5 0.11 0.06 0.01 Australia, Tasmania 13 0.8 0.23 0.08 0.03 8 0.6 0.21 0.05 0.02 Australia, Victoria 113 0.8 0.07 0.08 0.01 88 0.5 0.06 0.05 0.01 Australia, Western 54 1.0 0.14 0.10 0.02 34 0.6 0.10 0.06 0.01 New Zealand 91 0.8 0.08 0.09 0.01 58 0.4 0.06 0.05 0.01 USA, Hawaii: White 11 1.1 0.35 0.12 0.04 7 0.7 0.27 0.06 0.03 USA, Hawaii: Chinese 1 0.3 0.29 0.07 0.07 2 0.6 0.49 0.04 0.04 USA, Hawaii: Filipino 5 0.8 0.39 0.09 0.05 3 0.5 0.28 0.04 0.02 USA, Hawaii: Hawaiian 5 0.9 0.39 0.10 0.06 3 0.6 0.36 0.06 0.04 USA, Hawaii: Japanese 7 0.5 0.19 0.07 0.03 3 0.5 0.30 0.04 0.02

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsTonsil (C09)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 4 0.1 0.06 0.02 0.01 1 0.0 0.02 - - *France, La Reunion 19 3.8 0.87 0.45 0.11 4 0.6 0.32 0.06 0.03*The Gambia 0 - - - - 0 - - - - *Mali, Bamako 2 0.5 0.34 0.07 0.05 0 - - - - *Uganda, Kyadondo County 8 0.7 0.28 0.07 0.03 1 0.1 0.15 0.02 0.02*Zimbabwe, Harare: African 2 0.1 0.08 0.01 0.01 1 0.1 0.09 0.01 0.01

America, Central and South*Argentina, Bahia Blanca 8 0.8 0.28 0.11 0.04 8 0.5 0.20 0.05 0.02*Argentina, Concordia 3 0.9 0.50 0.07 0.04 1 0.3 0.31 0.04 0.04*Brazil, Campinas 10 0.6 0.20 0.08 0.03 0 - - - - *Brazil, Goiania 10 0.8 0.27 0.11 0.04 6 0.5 0.19 0.08 0.04 Colombia, Cali 19 0.7 0.16 0.09 0.03 7 0.2 0.10 0.04 0.02*Costa Rica 14 0.6 0.16 0.07 0.02 4 0.1 0.06 0.01 0.01*Cuba, Villa Clara 5 0.3 0.15 0.04 0.02 6 0.4 0.15 0.05 0.02*Ecuador, Quito 7 0.3 0.14 0.04 0.02 2 0.1 0.07 0.01 0.01*France, Martinique 25 2.5 0.52 0.28 0.06 1 0.0 0.04 - - *USA, Puerto Rico 80 2.2 0.25 0.27 0.03 15 0.4 0.09 0.03 0.01*Uruguay, Montevideo 58 2.5 0.34 0.31 0.04 12 0.3 0.10 0.04 0.01

America, North Canada 963 1.1 0.04 0.14 0.00 364 0.4 0.02 0.04 0.00 Canada, Alberta 66 0.9 0.11 0.11 0.02 21 0.3 0.06 0.04 0.01 Canada, British Columbia 127 1.1 0.10 0.13 0.01 64 0.5 0.06 0.06 0.01 Canada, Manitoba 35 1.0 0.18 0.14 0.02 13 0.4 0.11 0.04 0.01 Canada, New Brunswick 24 1.1 0.23 0.15 0.03 8 0.3 0.11 0.03 0.01 Canada, Newfoundland 13 0.8 0.23 0.09 0.03 5 0.3 0.14 0.05 0.02 Canada, Northwest Territories 1 0.2 0.20 0.02 0.02 0 - - - - Canada, Nova Scotia 28 1.0 0.19 0.13 0.03 9 0.3 0.10 0.04 0.01 Canada, Ontario 382 1.2 0.06 0.15 0.01 149 0.4 0.03 0.05 0.00 Canada, Prince Edward Island 3 0.6 0.40 0.05 0.04 0 - - - - +Canada, Quebec 261 1.2 0.07 0.14 0.01 81 0.3 0.03 0.04 0.00 Canada, Saskatchewan 22 0.7 0.16 0.08 0.02 14 0.4 0.12 0.06 0.02 Canada, Yukon 2 1.4 1.02 0.08 0.08 0 - - - - USA, California, Los Angeles: Non-Hispanic White 185 1.5 0.11 0.17 0.01 68 0.5 0.06 0.05 0.01 USA, California, Los Angeles: Hispanic White 52 1.4 0.20 0.17 0.03 15 0.3 0.08 0.04 0.01 USA, California, Los Angeles: Black 44 1.8 0.28 0.20 0.04 17 0.6 0.14 0.08 0.02 USA, California, Los Angeles: Chinese 2 0.2 0.16 0.03 0.02 0 - - - - USA, California, Los Angeles: Filipino 2 0.2 0.18 0.02 0.01 3 0.3 0.20 0.05 0.03 USA, California, Los Angeles: Japanese 3 0.7 0.47 0.09 0.05 2 0.3 0.19 0.05 0.04 USA, California, Los Angeles: Korean 9 2.3 0.79 0.32 0.12 0 - - - - USA, California, San Francisco: Non-Hispanic White 129 1.7 0.16 0.20 0.02 55 0.6 0.09 0.07 0.01 USA, California, San Francisco: Hispanic White 22 2.0 0.45 0.20 0.05 7 0.6 0.22 0.11 0.04 USA, California, San Francisco: Black 19 1.7 0.39 0.21 0.05 6 0.5 0.20 0.05 0.02 USA, Connecticut: White 135 1.5 0.13 0.18 0.02 49 0.5 0.07 0.06 0.01 USA, Connecticut: Black 20 3.5 0.79 0.47 0.12 4 0.6 0.28 0.07 0.04 USA, Georgia, Atlanta: White 68 1.7 0.21 0.22 0.03 20 0.4 0.09 0.04 0.01 USA, Georgia, Atlanta: Black 32 2.2 0.41 0.24 0.05 9 0.4 0.15 0.05 0.02 USA, Iowa 109 1.3 0.13 0.15 0.02 35 0.3 0.06 0.04 0.01 USA, Louisiana, Central Region: White 8 1.4 0.49 0.15 0.06 1 0.1 0.06 - - USA, Louisiana, Central Region: Black 4 2.5 1.28 0.27 0.15 0 - - - - USA, Louisiana, New Orleans: White 31 1.7 0.31 0.22 0.04 11 0.5 0.15 0.06 0.02 USA, Louisiana, New Orleans: Black 24 3.1 0.63 0.39 0.09 9 0.7 0.25 0.07 0.03 USA, Michigan, Detroit: White 149 1.6 0.13 0.19 0.02 52 0.5 0.07 0.06 0.01 USA, Michigan, Detroit: Black 80 3.9 0.44 0.44 0.05 23 0.8 0.17 0.09 0.02 USA, New Jersey: White 241 1.2 0.08 0.15 0.01 114 0.4 0.04 0.05 0.01 USA, New Jersey: Black 52 2.1 0.29 0.23 0.04 23 0.7 0.14 0.08 0.02 USA, New Mexico: Non-Hispanic White 30 1.1 0.20 0.12 0.02 18 0.6 0.14 0.07 0.02 USA, New Mexico: Hispanic White 8 0.6 0.22 0.09 0.03 1 0.0 0.03 - - USA, New Mexico: American Indian 0 - - - - 0 - - - - USA, New York State: White 486 1.1 0.05 0.13 0.01 230 0.4 0.03 0.05 0.00 USA, New York State: Black 140 2.0 0.17 0.22 0.02 47 0.5 0.07 0.06 0.01 USA, Utah 27 0.6 0.12 0.08 0.02 8 0.2 0.06 0.02 0.01 USA, Washington, Seattle 146 1.3 0.11 0.16 0.01 57 0.5 0.07 0.06 0.01 USA, SEER: White 837 1.4 0.05 0.17 0.01 307 0.4 0.03 0.06 0.00 USA, SEER: Black 158 2.9 0.23 0.34 0.03 45 0.6 0.09 0.07 0.01

Asia*China, Beijing 5 0.1 0.03 0.01 0.00 1 0.0 0.01 0.00 0.00

+*China, Changle *China, Cixian *China, Hong Kong 0 - - - - 0 - - - - *China, Jiashan 1 0.1 0.09 0.01 0.01 0 - - - -

+*China, Qidong County 6 0.2 0.07 0.01 0.01 2 0.0 0.04 0.01 0.01+*China, Shanghai 39 0.2 0.03 0.02 0.00 34 0.1 0.02 0.01 0.00

*China, Taiwan 139 1.2 0.10 0.14 0.01 9 0.1 0.03 0.01 0.00*China, Tianjin 10 0.1 0.03 0.01 0.00 6 0.1 0.02 0.01 0.00+China, Wuhan 19 0.2 0.04 0.02 0.01 8 0.1 0.02 0.01 0.00

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsTonsil (C09) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 177 2.8 0.23 0.34 0.03 14 0.3 0.07 0.05 0.01*India, Bangalore 86 1.1 0.12 0.13 0.02 21 0.3 0.07 0.04 0.01 India, Chennai (Madras) 99 1.3 0.13 0.16 0.02 17 0.2 0.06 0.03 0.01*India, Delhi 266 2.1 0.14 0.28 0.02 51 0.5 0.07 0.06 0.01*India, Karunagappally 4 0.5 0.25 0.05 0.03 2 0.2 0.12 0.02 0.02 India, Mumbai (Bombay) 318 1.7 0.10 0.21 0.02 38 0.3 0.05 0.04 0.01*India, Nagpur 37 2.0 0.34 0.25 0.05 7 0.4 0.15 0.05 0.02*India, Poona 44 1.1 0.17 0.15 0.03 15 0.4 0.11 0.04 0.01*India, Trivandrum 19 0.8 0.19 0.09 0.02 8 0.3 0.11 0.05 0.02 Israel: Jews 17 0.2 0.04 0.02 0.00 7 0.0 0.02 0.00 0.00 Israel: Jews born in Israel 0 - - - - 0 - - - - Israel: Jews born in Europe or America 12 0.2 0.08 0.03 0.01 4 0.0 0.03 0.00 0.00 Israel: Jews born in Africa or Asia 5 0.1 0.06 0.02 0.01 3 0.1 0.05 0.01 0.01 Israel: Non-Jews 1 0.1 0.07 0.01 0.01 1 0.1 0.07 0.01 0.01 Japan, Hiroshima 8 0.2 0.08 0.03 0.01 2 0.1 0.04 0.01 0.00*Japan, Miyagi Prefecture 17 0.2 0.05 0.02 0.01 3 0.0 0.02 0.00 0.00*Japan, Nagasaki Prefecture 22 0.4 0.09 0.04 0.01 6 0.1 0.03 0.01 0.00*Japan, Osaka Prefecture 93 0.3 0.03 0.04 0.00 16 0.0 0.01 0.01 0.00*Japan, Saga Prefecture 2 0.1 0.04 0.01 0.01 0 - - - - *Japan, Yamagata Prefecture 2 0.0 0.02 0.00 0.00 2 0.0 0.02 0.00 0.00*Korea, Busan 11 0.4 0.13 0.07 0.02 2 0.1 0.04 0.01 0.01*Korea, Daegu 8 0.4 0.15 0.05 0.02 4 0.2 0.08 0.02 0.01*Korea, Kangwha County 2 1.0 0.69 0.16 0.11 0 - - - - *Korea, Seoul 76 0.4 0.05 0.05 0.01 21 0.1 0.02 0.01 0.00*Kuwait: Kuwaitis 3 0.4 0.28 0.06 0.04 0 - - - - *Kuwait: Non-Kuwaitis 0 - - - - 1 0.0 0.03 0.00 0.00*Oman: Omani 1 0.1 0.05 0.01 0.01 0 - - - - *Pakistan, South Karachi 19 1.4 0.34 0.19 0.05 8 0.7 0.24 0.06 0.03*Philippines, Manila 31 0.5 0.09 0.05 0.01 40 0.6 0.10 0.07 0.01*Philippines, Rizal 33 0.5 0.10 0.06 0.01 39 0.6 0.10 0.07 0.01 Singapore: Chinese 30 0.6 0.10 0.07 0.01 9 0.1 0.05 0.02 0.01 Singapore: Indian 5 0.7 0.33 0.12 0.05 2 0.4 0.30 0.05 0.03 Singapore: Malay 3 0.4 0.24 0.05 0.03 2 0.3 0.19 0.02 0.02*Thailand, Bangkok 65 1.0 0.13 0.14 0.02 19 0.2 0.05 0.03 0.01*Thailand, Chiang Mai 40 1.1 0.18 0.12 0.02 14 0.4 0.10 0.04 0.01*Thailand, Khon Kaen 14 0.5 0.13 0.07 0.02 6 0.2 0.07 0.02 0.01*Thailand, Lampang 17 0.9 0.21 0.11 0.03 6 0.3 0.11 0.03 0.02*Thailand, Songkhla 42 2.3 0.36 0.30 0.06 1 0.1 0.06 0.01 0.01*Viet Nam, Hanoi 25 0.6 0.12 - - 25 0.5 0.10 - - *Viet Nam, Ho Chi Minh City 66 1.2 0.15 0.16 0.02 31 0.3 0.06 0.03 0.01

Europe Austria, Tyrol 20 1.0 0.24 0.11 0.03 12 0.6 0.18 0.07 0.02 Austria, Vorarlberg 21 2.0 0.44 0.19 0.05 6 0.6 0.24 0.05 0.02

+*Belarus 118 0.4 0.04 0.05 0.00 19 0.1 0.01 0.01 0.00*Belgium, Flanders, (excl. Limburg) 113 1.5 0.15 0.18 0.02 37 0.4 0.08 0.05 0.01*Belgium, Limburg 12 1.1 0.33 0.09 0.03 2 0.2 0.11 0.03 0.02*Croatia 235 1.6 0.10 0.20 0.01 26 0.1 0.03 0.02 0.00 Czech Republic 632 1.9 0.08 0.22 0.01 143 0.3 0.03 0.04 0.00 Denmark 285 1.6 0.10 0.19 0.01 81 0.4 0.05 0.05 0.01 Estonia 49 1.2 0.17 0.14 0.02 10 0.2 0.07 0.02 0.01 Finland 85 0.5 0.05 0.06 0.01 33 0.2 0.03 0.02 0.00 France, Bas-Rhin 140 4.7 0.40 0.56 0.05 18 0.5 0.13 0.05 0.01*France, Calvados 123 6.5 0.60 0.77 0.07 17 0.8 0.21 0.08 0.02 France, Cote d’Or France, Doubs 82 5.3 0.60 0.65 0.08 14 0.7 0.21 0.08 0.03 France, Haut-Rhin 99 4.7 0.47 0.56 0.06 13 0.5 0.15 0.06 0.02*France, Herault 110 3.9 0.39 0.46 0.05 30 1.0 0.18 0.11 0.02 France, Isere 122 3.7 0.34 0.45 0.05 13 0.4 0.11 0.04 0.01*France, Manche 44 3.5 0.55 0.39 0.06 4 0.3 0.13 0.04 0.02*France, Somme 105 6.4 0.64 0.73 0.07 15 0.8 0.22 0.08 0.02 France, Tarn 29 2.2 0.43 0.28 0.05 6 0.5 0.22 0.06 0.02 Germany, Saarland 98 2.6 0.27 0.29 0.03 34 0.8 0.14 0.09 0.02 Iceland 3 0.4 0.26 0.06 0.03 1 0.1 0.10 0.02 0.02 Ireland 57 0.7 0.10 0.09 0.01 15 0.2 0.04 0.02 0.01 Italy, Biella Province 8 1.6 0.58 0.22 0.08 1 0.1 0.14 0.02 0.02 Italy, Ferrara Province 23 1.4 0.31 0.18 0.04 3 0.2 0.12 0.02 0.01*Italy, Florence 46 1.0 0.15 0.11 0.02 11 0.2 0.06 0.03 0.01 Italy, Genoa Province 30 1.0 0.19 0.11 0.02 10 0.3 0.10 0.03 0.01 Italy, Liguria Italy, Macerata Province 3 0.2 0.11 0.04 0.02 1 0.1 0.06 0.01 0.01 Italy, Modena Province 32 1.2 0.23 0.15 0.03 6 0.2 0.10 0.02 0.01 Italy, North East 69 1.4 0.17 0.18 0.02 27 0.5 0.11 0.06 0.01

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rates and standard errorsTonsil (C09) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 25 1.4 0.30 0.18 0.04 0 - - - - *Italy, Ragusa Province 3 0.4 0.22 0.04 0.02 0 - - - - Italy, Romagna 42 0.9 0.15 0.12 0.02 17 0.4 0.11 0.04 0.01 Italy, Sassari 14 0.8 0.23 0.10 0.03 2 0.1 0.08 0.02 0.01 Italy, Torino 38 0.9 0.16 0.13 0.02 15 0.3 0.09 0.04 0.01 Italy, Umbria 16 0.7 0.18 0.10 0.03 1 0.0 0.01 - - Italy, Varese Province 48 1.6 0.23 0.19 0.03 10 0.2 0.08 0.03 0.01 Italy, Venetian Region 88 1.5 0.17 0.20 0.02 22 0.3 0.08 0.04 0.01*Latvia 70 1.0 0.12 0.12 0.02 24 0.2 0.05 0.02 0.01 Lithuania 68 0.7 0.08 0.08 0.01 22 0.1 0.03 0.02 0.00 Malta 4 0.4 0.19 0.04 0.02 1 0.0 0.05 - - The Netherlands 397 0.8 0.04 0.09 0.01 211 0.4 0.03 0.05 0.00 The Netherlands, Eindhoven 26 0.8 0.16 0.10 0.02 10 0.3 0.10 0.03 0.01 The Netherlands, Maastricht 34 1.1 0.19 0.13 0.02 12 0.4 0.11 0.05 0.01 Norway 124 0.9 0.08 0.10 0.01 46 0.3 0.04 0.04 0.01*Poland, Cracow 7 0.3 0.12 0.04 0.02 6 0.2 0.08 0.02 0.01*Poland, Kielce 9 0.4 0.12 0.04 0.01 4 0.1 0.06 0.02 0.01*Poland, Lower Silesia 140 1.8 0.15 0.19 0.02 38 0.3 0.06 0.04 0.01 Poland, Warsaw City 55 1.0 0.14 0.12 0.02 21 0.3 0.06 0.03 0.01*Portugal, Vila Nova de Gaia 10 1.4 0.43 0.14 0.05 1 0.1 0.11 0.01 0.01*Russia, St Petersburg 62 0.6 0.08 0.07 0.01 28 0.1 0.03 0.02 0.00 Slovakia 471 3.3 0.15 0.36 0.02 58 0.3 0.04 0.04 0.01 Slovenia 99 1.6 0.16 0.19 0.02 9 0.1 0.05 0.02 0.01 Spain, Albacete 5 0.4 0.18 0.06 0.03 1 0.1 0.09 0.01 0.01 Spain, Asturias 62 2.0 0.26 0.24 0.03 2 0.0 0.02 0.00 0.00*Spain, Canary Islands 41 1.9 0.30 0.24 0.04 1 0.0 0.02 - - Spain, Cuenca 8 0.9 0.36 0.13 0.05 1 0.3 0.25 0.02 0.02 Spain, Girona 15 1.3 0.35 0.16 0.05 1 0.1 0.11 0.01 0.01 Spain, Granada 18 0.8 0.19 0.09 0.02 2 0.1 0.06 0.00 0.00 Spain, Mallorca 33 2.2 0.38 0.27 0.05 4 0.1 0.07 0.03 0.02 Spain, Murcia 35 1.5 0.25 0.17 0.03 1 0.1 0.06 0.00 0.00 Spain, Navarra 11 0.6 0.19 0.06 0.02 2 0.1 0.07 0.01 0.01 Spain, Tarragona 26 1.3 0.27 0.16 0.03 2 0.1 0.07 0.01 0.01*Spain, Zaragoza 18 0.7 0.17 0.07 0.02 2 0.1 0.05 0.01 0.01 Sweden 285 0.9 0.06 0.11 0.01 113 0.3 0.03 0.04 0.00 Switzerland, Basel 22 1.3 0.29 0.15 0.04 11 0.6 0.19 0.08 0.02 Switzerland, Geneva 50 3.5 0.50 0.48 0.07 26 1.8 0.36 0.21 0.05 Switzerland, Graubunden and Glarus 6 0.8 0.34 0.08 0.04 5 0.7 0.31 0.09 0.04 Switzerland, Neuchatel 7 1.7 0.65 0.19 0.07 7 1.5 0.58 0.14 0.06 Switzerland, St Gall-Appenzell 26 1.7 0.34 0.20 0.04 2 0.1 0.08 0.02 0.01*Switzerland, Ticino 9 1.7 0.60 0.21 0.08 0 - - - - Switzerland, Valais 28 3.4 0.65 0.42 0.08 5 0.5 0.25 0.08 0.04 Switzerland, Vaud 49 3.2 0.46 0.37 0.06 17 1.0 0.24 0.12 0.03 Switzerland, Zurich 57 1.8 0.24 0.20 0.03 20 0.5 0.12 0.05 0.01*UK, England 1086 0.7 0.02 0.08 0.00 432 0.2 0.01 0.03 0.00 UK, England, East Anglia 46 0.6 0.09 0.08 0.01 13 0.2 0.05 0.02 0.01 UK, England, Merseyside and Cheshire 65 0.8 0.10 0.09 0.01 30 0.3 0.06 0.04 0.01 UK, England, North Western 122 0.9 0.09 0.10 0.01 46 0.3 0.05 0.04 0.01 UK, England, Oxford Region 55 0.6 0.09 0.08 0.01 17 0.2 0.05 0.02 0.01*UK, England, South Thames 170 0.8 0.06 0.09 0.01 57 0.2 0.03 0.03 0.00*UK, England, South and Western Regions 123 0.5 0.05 0.06 0.01 48 0.2 0.03 0.02 0.00 UK, England, Trent 82 0.5 0.05 0.05 0.01 38 0.2 0.04 0.02 0.00*UK, England, West Midlands Region 130 0.7 0.06 0.08 0.01 46 0.2 0.03 0.02 0.00 UK, England, Yorkshire 70 0.6 0.07 0.06 0.01 43 0.3 0.04 0.03 0.01 UK, Northern Ireland 32 0.7 0.12 0.08 0.02 7 0.1 0.04 0.02 0.01 UK, Scotland 152 0.9 0.08 0.11 0.01 67 0.3 0.04 0.04 0.01*Yugoslavia, Vojvodina 104 1.4 0.14 0.17 0.02 27 0.3 0.06 0.03 0.01

Oceania Australia, Capital Territory 7 0.9 0.35 0.10 0.04 4 0.6 0.28 0.08 0.04 Australia, New South Wales 166 0.9 0.07 0.11 0.01 69 0.3 0.04 0.04 0.01 Australia, Northern Territory 14 4.4 1.26 0.46 0.14 3 0.6 0.37 0.05 0.03 Australia, Queensland 138 1.4 0.12 0.17 0.02 31 0.3 0.06 0.04 0.01 Australia, South 40 0.9 0.14 0.11 0.02 19 0.3 0.08 0.04 0.01 Australia, Tasmania 14 0.9 0.25 0.14 0.04 1 0.1 0.08 0.01 0.01 Australia, Victoria 158 1.1 0.09 0.14 0.01 50 0.3 0.05 0.04 0.01 Australia, Western 44 0.9 0.13 0.11 0.02 18 0.3 0.08 0.04 0.01 New Zealand 81 0.7 0.08 0.09 0.01 22 0.2 0.04 0.02 0.01 USA, Hawaii: White 28 3.1 0.60 0.37 0.08 7 0.8 0.30 0.11 0.04 USA, Hawaii: Chinese 1 0.2 0.15 - - 1 0.1 0.12 - - USA, Hawaii: Filipino 7 1.2 0.47 0.18 0.08 1 0.2 0.17 0.03 0.03 USA, Hawaii: Hawaiian 2 0.4 0.29 0.03 0.02 1 0.3 0.27 0.03 0.03 USA, Hawaii: Japanese 7 0.4 0.19 0.04 0.02 1 0.1 0.13 0.01 0.01

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsOther oropharynx (C10)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers *France, La Reunion 11 2.1 0.65 0.29 0.10 0 - - - - *The Gambia 0 - - - - 0 - - - - *Mali, Bamako 0 - - - - 0 - - - - *Uganda, Kyadondo County 1 0.2 0.16 0.02 0.02 1 0.1 0.06 0.00 0.00*Zimbabwe, Harare: African 3 0.3 0.20 0.01 0.01 0 - - - -

America, Central and South*Argentina, Bahia Blanca 5 0.5 0.24 0.05 0.03 1 0.1 0.11 0.01 0.01*Argentina, Concordia 0 - - - - 1 0.2 0.23 0.06 0.06*Brazil, Campinas 27 1.7 0.34 0.23 0.05 5 0.3 0.12 0.04 0.02*Brazil, Goiania 15 1.3 0.34 0.15 0.04 5 0.3 0.14 0.04 0.02 Colombia, Cali 1 0.0 0.04 0.00 0.00 1 0.0 0.03 0.01 0.01*Costa Rica 2 0.1 0.07 0.01 0.01 1 0.0 0.04 0.00 0.00*Cuba, Villa Clara 11 0.6 0.18 0.07 0.03 3 0.2 0.12 0.03 0.02*Ecuador, Quito 4 0.2 0.09 0.02 0.02 0 - - - - *France, Martinique 22 2.2 0.47 0.27 0.06 1 0.1 0.10 0.01 0.01*USA, Puerto Rico 19 0.6 0.13 0.07 0.02 1 0.0 0.01 - - *Uruguay, Montevideo 18 0.7 0.18 0.08 0.02 5 0.1 0.06 0.02 0.01

America, North Canada 327 0.4 0.02 0.05 0.00 119 0.1 0.01 0.01 0.00 Canada, Alberta 10 0.1 0.04 0.02 0.01 6 0.1 0.02 0.01 0.00 Canada, British Columbia 60 0.5 0.07 0.07 0.01 18 0.1 0.03 0.02 0.00 Canada, Manitoba 7 0.2 0.08 0.03 0.01 4 0.1 0.06 0.01 0.01 Canada, New Brunswick 6 0.3 0.11 0.03 0.01 0 - - - - Canada, Newfoundland 9 0.6 0.20 0.08 0.03 0 - - - - Canada, Northwest Territories 1 0.5 0.55 0.09 0.09 0 - - - - Canada, Nova Scotia 13 0.4 0.12 0.06 0.02 7 0.2 0.09 0.03 0.01 Canada, Ontario 107 0.3 0.03 0.04 0.00 48 0.1 0.02 0.01 0.00 Canada, Prince Edward Island 1 0.2 0.15 - - 0 - - - - +Canada, Quebec 105 0.5 0.05 0.06 0.01 32 0.1 0.02 0.02 0.00 Canada, Saskatchewan 9 0.3 0.10 0.03 0.01 4 0.1 0.05 0.01 0.01 Canada, Yukon 1 0.5 0.46 0.05 0.05 1 0.6 0.60 0.06 0.06 USA, California, Los Angeles: Non-Hispanic White 53 0.4 0.06 0.05 0.01 27 0.1 0.03 0.02 0.00 USA, California, Los Angeles: Hispanic White 9 0.2 0.08 0.03 0.01 4 0.1 0.05 0.02 0.01 USA, California, Los Angeles: Black 24 1.1 0.22 0.15 0.03 7 0.2 0.09 0.03 0.01 USA, California, Los Angeles: Chinese 0 - - - - 0 - - - - USA, California, Los Angeles: Filipino 2 0.4 0.30 0.06 0.04 0 - - - - USA, California, Los Angeles: Japanese 0 - - - - 0 - - - - USA, California, Los Angeles: Korean 0 - - - - 0 - - - - USA, California, San Francisco: Non-Hispanic White 27 0.4 0.08 0.05 0.01 15 0.2 0.05 0.02 0.01 USA, California, San Francisco: Hispanic White 1 0.1 0.13 0.02 0.02 1 0.1 0.09 0.01 0.01 USA, California, San Francisco: Black 8 0.7 0.26 0.10 0.04 3 0.2 0.12 0.04 0.02 USA, Connecticut: White 51 0.5 0.07 0.06 0.01 11 0.1 0.03 0.01 0.00 USA, Connecticut: Black 9 1.5 0.52 0.25 0.10 2 0.3 0.22 0.03 0.03 USA, Georgia, Atlanta: White 24 0.6 0.13 0.09 0.02 11 0.3 0.08 0.03 0.01 USA, Georgia, Atlanta: Black 14 1.0 0.29 0.12 0.04 1 0.1 0.05 0.00 0.00 USA, Iowa 17 0.2 0.05 0.02 0.01 7 0.1 0.02 0.01 0.00 USA, Louisiana, Central Region: White 3 0.5 0.28 0.07 0.04 0 - - - - USA, Louisiana, Central Region: Black 1 0.4 0.40 0.03 0.03 0 - - - - USA, Louisiana, New Orleans: White 11 0.5 0.17 0.06 0.02 1 0.0 0.02 - - USA, Louisiana, New Orleans: Black 8 1.2 0.41 0.16 0.06 1 0.1 0.11 0.01 0.01 USA, Michigan, Detroit: White 29 0.3 0.06 0.04 0.01 12 0.1 0.02 0.01 0.00 USA, Michigan, Detroit: Black 18 0.9 0.20 0.10 0.02 6 0.2 0.08 0.02 0.01 USA, New Jersey: White 88 0.4 0.04 0.05 0.01 36 0.1 0.02 0.02 0.00 USA, New Jersey: Black 28 1.1 0.21 0.13 0.03 7 0.2 0.08 0.03 0.01 USA, New Mexico: Non-Hispanic White 6 0.2 0.08 0.03 0.01 1 0.0 0.03 0.01 0.01 USA, New Mexico: Hispanic White 5 0.4 0.16 0.06 0.03 0 - - - - USA, New Mexico: American Indian 0 - - - - 0 - - - - USA, New York State: White 263 0.6 0.04 0.07 0.01 113 0.2 0.02 0.02 0.00 USA, New York State: Black 78 1.2 0.13 0.15 0.02 26 0.3 0.05 0.03 0.01 USA, Utah 10 0.2 0.07 0.03 0.01 2 0.0 0.02 0.00 0.00 USA, Washington, Seattle 28 0.3 0.05 0.04 0.01 11 0.1 0.03 0.01 0.00 USA, SEER: White 208 0.3 0.02 0.05 0.00 73 0.1 0.01 0.01 0.00 USA, SEER: Black 49 0.9 0.13 0.11 0.02 12 0.2 0.05 0.02 0.01

Asia*China, Beijing 6 0.1 0.03 0.01 0.00 5 0.1 0.02 0.01 0.00

+*China, Changle *China, Cixian *China, Hong Kong *China, Jiashan 2 0.2 0.12 0.01 0.01 0 - - - -

+*China, Qidong County 0 - - - - 0 - - - - +*China, Shanghai 22 0.1 0.02 0.01 0.00 6 0.0 0.01 0.00 0.00

*China, Taiwan 41 0.3 0.06 0.04 0.01 3 0.0 0.02 0.00 0.00*China, Tianjin 12 0.1 0.03 0.01 0.00 4 0.0 0.02 0.01 0.00+China, Wuhan 10 0.1 0.03 0.01 0.01 3 0.0 0.01 0.00 0.00

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsOther oropharynx (C10) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 55 0.9 0.13 0.11 0.02 3 0.1 0.04 0.01 0.01*India, Bangalore 75 0.9 0.11 0.10 0.01 13 0.2 0.05 0.02 0.01 India, Chennai (Madras) 75 1.0 0.12 0.11 0.02 15 0.2 0.05 0.03 0.01*India, Delhi 88 0.7 0.08 0.08 0.01 14 0.1 0.04 0.02 0.01*India, Karunagappally 12 1.4 0.40 0.19 0.07 2 0.2 0.16 0.03 0.02 India, Mumbai (Bombay) 143 0.8 0.07 0.10 0.01 18 0.1 0.03 0.02 0.01*India, Nagpur 19 1.0 0.25 0.14 0.04 4 0.2 0.11 0.04 0.02*India, Poona 26 0.6 0.13 0.06 0.02 5 0.1 0.06 0.02 0.01*India, Trivandrum 48 2.2 0.32 0.28 0.04 2 0.1 0.05 0.01 0.01 Israel: Jews 13 0.1 0.03 0.01 0.00 11 0.1 0.03 0.01 0.00 Israel: Jews born in Israel 1 0.0 0.01 0.00 0.00 3 0.1 0.06 0.01 0.01 Israel: Jews born in Europe or America 9 0.2 0.10 0.01 0.01 3 0.0 0.01 0.00 0.00 Israel: Jews born in Africa or Asia 3 0.1 0.05 0.01 0.01 5 0.1 0.06 0.01 0.01 Israel: Non-Jews 1 0.1 0.07 0.01 0.01 0 - - - - Japan, Hiroshima 15 0.4 0.10 0.05 0.02 1 0.0 0.03 0.00 0.00*Japan, Miyagi Prefecture 55 0.6 0.09 0.08 0.01 7 0.1 0.03 0.01 0.00*Japan, Nagasaki Prefecture 30 0.5 0.09 0.06 0.01 1 0.0 0.02 0.00 0.00*Japan, Osaka Prefecture 170 0.5 0.04 0.07 0.01 21 0.1 0.01 0.01 0.00*Japan, Saga Prefecture 24 0.7 0.15 0.10 0.02 4 0.1 0.04 0.01 0.01*Japan, Yamagata Prefecture 16 0.3 0.07 0.02 0.01 1 0.0 0.03 0.00 0.00*Korea, Busan 9 0.4 0.12 0.04 0.02 2 0.1 0.04 0.01 0.01*Korea, Daegu 7 0.4 0.17 0.08 0.03 0 - - - - *Korea, Kangwha County 0 - - - - 0 - - - - *Korea, Seoul 45 0.2 0.04 0.03 0.01 13 0.0 0.01 0.00 0.00*Kuwait: Kuwaitis 0 - - - - 0 - - - - *Kuwait: Non-Kuwaitis 1 0.0 0.04 0.00 0.00 0 - - - - *Oman: Omani 2 0.1 0.06 0.00 0.00 0 - - - - *Pakistan, South Karachi 7 0.5 0.20 0.06 0.03 0 - - - - *Philippines, Manila 8 0.1 0.05 0.02 0.01 5 0.1 0.03 0.01 0.01*Philippines, Rizal 8 0.1 0.05 0.02 0.01 3 0.0 0.03 0.01 0.00 Singapore: Chinese 11 0.2 0.07 0.03 0.01 1 0.0 0.02 0.00 0.00 Singapore: Indian 1 0.2 0.17 0.02 0.02 0 - - - - Singapore: Malay 1 0.1 0.13 0.03 0.03 0 - - - - *Thailand, Bangkok 10 0.2 0.05 0.02 0.01 1 0.0 0.01 0.00 0.00*Thailand, Chiang Mai 4 0.1 0.06 0.02 0.01 4 0.1 0.06 0.02 0.01*Thailand, Khon Kaen 5 0.2 0.07 0.02 0.01 0 - - - - *Thailand, Lampang 3 0.2 0.10 0.03 0.02 3 0.2 0.09 0.02 0.01*Thailand, Songkhla 7 0.4 0.14 0.03 0.02 1 0.1 0.05 0.01 0.01*Viet Nam, Hanoi 4 0.1 0.05 - - 0 - - - - *Viet Nam, Ho Chi Minh City 9 0.2 0.06 0.02 0.01 1 0.0 0.01 - -

Europe Austria, Tyrol 13 0.7 0.19 0.08 0.02 2 0.1 0.07 0.01 0.01 Austria, Vorarlberg 19 1.8 0.41 0.17 0.05 3 0.3 0.18 0.04 0.02

+*Belarus 700 2.5 0.10 0.30 0.01 61 0.1 0.02 0.02 0.00*Belgium, Flanders, (excl. Limburg) 52 0.7 0.10 0.08 0.01 9 0.1 0.04 0.01 0.00*Belgium, Limburg 0 - - - - 0 - - - - *Croatia 193 1.3 0.09 0.16 0.01 18 0.1 0.03 0.01 0.00 Czech Republic 195 0.6 0.04 0.07 0.01 21 0.1 0.01 0.01 0.00 Denmark 126 0.7 0.06 0.08 0.01 55 0.3 0.04 0.03 0.00 Estonia 81 1.9 0.22 0.22 0.03 11 0.2 0.05 0.03 0.01 Finland 9 0.1 0.02 0.01 0.00 2 0.0 0.00 0.00 0.00 France, Bas-Rhin 157 5.4 0.43 0.67 0.06 6 0.2 0.07 0.02 0.01*France, Calvados 110 5.9 0.57 0.64 0.07 5 0.2 0.10 0.02 0.01 France, Cote d’Or France, Doubs 40 2.6 0.42 0.33 0.06 2 0.1 0.04 0.01 0.01 France, Haut-Rhin 95 4.4 0.45 0.56 0.06 10 0.5 0.15 0.05 0.02*France, Herault 57 2.1 0.28 0.24 0.03 9 0.3 0.10 0.03 0.01 France, Isere 79 2.5 0.28 0.31 0.04 13 0.4 0.10 0.04 0.01*France, Manche 55 4.3 0.61 0.51 0.07 6 0.5 0.21 0.04 0.02*France, Somme 68 4.2 0.52 0.50 0.06 3 0.2 0.11 0.02 0.01 France, Tarn 14 1.3 0.35 0.13 0.04 1 0.1 0.10 0.01 0.01 Germany, Saarland 41 1.1 0.17 0.12 0.02 9 0.2 0.07 0.02 0.01 Iceland 0 - - - - 0 - - - - Ireland 33 0.4 0.07 0.05 0.01 8 0.1 0.03 0.01 0.00 Italy, Biella Province 2 0.4 0.29 0.06 0.04 0 - - - - Italy, Ferrara Province 7 0.4 0.16 0.05 0.02 0 - - - - *Italy, Florence 25 0.5 0.11 0.06 0.01 4 0.1 0.06 0.01 0.00 Italy, Genoa Province 25 0.8 0.17 0.09 0.02 4 0.1 0.06 0.01 0.01 Italy, Liguria Italy, Macerata Province 0 - - - - 0 - - - - Italy, Modena Province 4 0.2 0.08 0.02 0.01 0 - - - - Italy, North East 83 1.7 0.19 0.22 0.03 11 0.3 0.08 0.03 0.01

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsOther oropharynx (C10) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 16 1.0 0.26 0.12 0.03 3 0.1 0.07 0.01 0.01*Italy, Ragusa Province 1 0.1 0.06 - - 0 - - - - Italy, Romagna 8 0.2 0.07 0.02 0.01 3 0.1 0.04 0.01 0.00 Italy, Sassari 7 0.4 0.16 0.07 0.03 3 0.2 0.10 0.01 0.01 Italy, Torino 48 1.2 0.18 0.15 0.02 14 0.3 0.08 0.04 0.01 Italy, Umbria 10 0.4 0.14 0.05 0.02 2 0.1 0.07 0.01 0.01 Italy, Varese Province 50 1.7 0.24 0.22 0.03 7 0.2 0.08 0.02 0.01 Italy, Venetian Region 50 0.8 0.12 0.10 0.02 7 0.1 0.03 0.01 0.00*Latvia 52 0.7 0.10 0.09 0.01 13 0.1 0.03 0.01 0.00 Lithuania 149 1.5 0.12 0.18 0.02 15 0.1 0.03 0.01 0.00 Malta 1 0.1 0.09 0.01 0.01 0 - - - - The Netherlands 313 0.6 0.04 0.07 0.00 99 0.2 0.02 0.02 0.00 The Netherlands, Eindhoven 10 0.3 0.10 0.05 0.02 8 0.3 0.09 0.03 0.01 The Netherlands, Maastricht 33 1.1 0.19 0.13 0.02 4 0.1 0.06 0.02 0.01 Norway 40 0.3 0.04 0.04 0.01 13 0.1 0.02 0.01 0.00*Poland, Cracow 33 1.5 0.26 0.17 0.03 11 0.4 0.11 0.04 0.01*Poland, Kielce 32 1.3 0.23 0.15 0.03 3 0.1 0.05 0.01 0.01*Poland, Lower Silesia 11 0.2 0.05 0.02 0.01 2 0.0 0.01 0.00 0.00 Poland, Warsaw City 101 1.9 0.19 0.23 0.02 19 0.3 0.07 0.04 0.01*Portugal, Vila Nova de Gaia 4 0.5 0.25 0.04 0.03 1 0.1 0.11 0.01 0.01*Russia, St Petersburg 163 1.5 0.12 0.18 0.02 18 0.1 0.03 0.01 0.00 Slovakia 353 2.5 0.13 0.27 0.02 24 0.1 0.03 0.01 0.00 Slovenia 346 5.6 0.30 0.70 0.04 27 0.4 0.07 0.04 0.01 Spain, Albacete 4 0.4 0.23 0.04 0.02 0 - - - - Spain, Asturias 69 2.3 0.29 0.27 0.03 2 0.0 0.03 0.00 0.00*Spain, Canary Islands 21 1.0 0.21 0.12 0.03 3 0.1 0.07 0.02 0.01 Spain, Cuenca 3 0.2 0.15 0.03 0.02 1 0.0 0.04 - - Spain, Girona 9 1.0 0.32 0.11 0.04 1 0.0 0.03 - - Spain, Granada 19 0.7 0.17 0.10 0.02 0 - - - - Spain, Mallorca 17 1.2 0.28 0.13 0.03 1 0.1 0.08 0.01 0.01 Spain, Murcia 13 0.6 0.16 0.06 0.02 0 - - - - Spain, Navarra 28 1.6 0.30 0.19 0.04 0 - - - - Spain, Tarragona 26 1.4 0.28 0.16 0.03 1 0.0 0.04 0.01 0.01*Spain, Zaragoza 10 0.3 0.11 0.04 0.01 0 - - - - Sweden 48 0.2 0.02 0.02 0.00 25 0.1 0.01 0.01 0.00 Switzerland, Basel 19 1.3 0.30 0.15 0.03 2 0.1 0.09 0.01 0.01 Switzerland, Geneva 25 1.8 0.37 0.20 0.04 9 0.6 0.21 0.10 0.03 Switzerland, Graubunden and Glarus 11 1.4 0.44 0.13 0.05 0 - - - - Switzerland, Neuchatel 6 1.4 0.56 0.19 0.08 1 0.2 0.23 0.03 0.03 Switzerland, St Gall-Appenzell 23 1.4 0.30 0.15 0.04 4 0.2 0.10 0.04 0.02*Switzerland, Ticino 6 1.4 0.57 0.16 0.07 0 - - - - Switzerland, Valais 23 2.7 0.57 0.31 0.07 2 0.3 0.18 0.03 0.02 Switzerland, Vaud 26 1.7 0.33 0.21 0.04 7 0.4 0.15 0.05 0.02 Switzerland, Zurich 29 0.9 0.17 0.10 0.02 7 0.2 0.07 0.02 0.01*UK, England 434 0.3 0.01 0.03 0.00 168 0.1 0.01 0.01 0.00 UK, England, East Anglia 12 0.1 0.04 0.02 0.01 8 0.1 0.03 0.01 0.00 UK, England, Merseyside and Cheshire 56 0.7 0.10 0.09 0.01 14 0.1 0.04 0.01 0.00 UK, England, North Western 55 0.4 0.05 0.05 0.01 24 0.2 0.04 0.02 0.00 UK, England, Oxford Region 17 0.2 0.05 0.02 0.01 12 0.1 0.03 0.01 0.00*UK, England, South Thames 59 0.3 0.03 0.03 0.00 21 0.1 0.02 0.01 0.00*UK, England, South and Western Regions 31 0.1 0.02 0.01 0.00 18 0.1 0.02 0.01 0.00 UK, England, Trent 37 0.2 0.04 0.03 0.00 18 0.1 0.02 0.01 0.00*UK, England, West Midlands Region 49 0.3 0.04 0.03 0.00 10 0.0 0.01 0.00 0.00 UK, England, Yorkshire 29 0.2 0.04 0.03 0.01 7 0.0 0.02 0.01 0.00 UK, Northern Ireland 16 0.3 0.08 0.05 0.01 3 0.0 0.03 0.00 0.00 UK, Scotland 79 0.5 0.05 0.06 0.01 37 0.2 0.03 0.02 0.00*Yugoslavia, Vojvodina 117 1.6 0.15 0.19 0.02 10 0.1 0.04 0.01 0.00

Oceania Australia, Capital Territory 3 0.4 0.21 0.04 0.02 0 - - - - Australia, New South Wales 80 0.4 0.05 0.05 0.01 28 0.1 0.02 0.01 0.00 Australia, Northern Territory 4 1.1 0.59 0.14 0.09 2 0.9 0.65 0.11 0.08 Australia, Queensland 63 0.7 0.08 0.09 0.01 18 0.1 0.04 0.02 0.01 Australia, South 17 0.4 0.09 0.04 0.01 3 0.0 0.02 - - Australia, Tasmania 3 0.2 0.13 0.02 0.01 2 0.1 0.06 0.02 0.02 Australia, Victoria 63 0.5 0.06 0.06 0.01 15 0.1 0.02 0.01 0.00 Australia, Western 15 0.3 0.08 0.04 0.01 6 0.1 0.05 0.01 0.01 New Zealand 19 0.2 0.04 0.03 0.01 11 0.1 0.03 0.01 0.00 USA, Hawaii: White 11 1.2 0.39 0.14 0.05 2 0.2 0.16 0.02 0.02 USA, Hawaii: Chinese 1 0.3 0.29 0.07 0.07 0 - - - - USA, Hawaii: Filipino 1 0.1 0.15 0.04 0.04 0 - - - - USA, Hawaii: Hawaiian 3 0.7 0.43 0.08 0.05 2 0.3 0.25 0.05 0.05 USA, Hawaii: Japanese 0 - - - - 0 - - - -

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsNasopharynx (C11)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 128 2.7 0.26 0.27 0.03 61 1.3 0.17 0.13 0.02*France, La Reunion 4 0.7 0.33 0.07 0.04 1 0.1 0.14 0.01 0.01*The Gambia 1 - - - - 0 - - - - *Mali, Bamako 0 - - - - 1 0.1 0.08 0.00 0.00*Uganda, Kyadondo County 33 1.8 0.43 0.18 0.05 30 1.4 0.33 0.12 0.03*Zimbabwe, Harare: African 12 0.5 0.15 0.04 0.02 12 0.7 0.26 0.08 0.04

America, Central and South*Argentina, Bahia Blanca 4 0.4 0.21 0.05 0.02 1 0.1 0.12 0.01 0.01*Argentina, Concordia 1 0.3 0.34 0.03 0.03 0 - - - - *Brazil, Campinas 14 0.8 0.22 0.07 0.02 5 0.2 0.11 0.02 0.01*Brazil, Goiania 13 1.1 0.32 0.11 0.04 7 0.4 0.14 0.02 0.01 Colombia, Cali 21 0.7 0.16 0.09 0.02 8 0.2 0.09 0.03 0.01*Costa Rica 30 0.9 0.18 0.09 0.02 19 0.6 0.14 0.05 0.01*Cuba, Villa Clara 10 0.6 0.20 0.06 0.02 7 0.5 0.20 0.06 0.02*Ecuador, Quito 1 0.1 0.07 0.01 0.01 1 0.1 0.05 0.01 0.01*France, Martinique 10 1.0 0.33 0.11 0.04 2 0.1 0.05 - - *USA, Puerto Rico 30 0.8 0.15 0.09 0.02 8 0.2 0.07 0.02 0.01*Uruguay, Montevideo 16 0.7 0.18 0.07 0.02 15 0.5 0.15 0.05 0.01

America, North Canada 713 0.8 0.03 0.09 0.00 283 0.3 0.02 0.03 0.00 Canada, Alberta 64 0.9 0.11 0.09 0.01 20 0.3 0.06 0.03 0.01 Canada, British Columbia 133 1.1 0.10 0.11 0.01 67 0.6 0.07 0.05 0.01 Canada, Manitoba 31 0.9 0.16 0.10 0.02 6 0.2 0.07 0.02 0.01 Canada, New Brunswick 20 0.9 0.21 0.10 0.02 4 0.1 0.07 0.01 0.01 Canada, Newfoundland 13 0.8 0.22 0.09 0.03 3 0.2 0.11 0.02 0.01 Canada, Northwest Territories 29 9.2 1.84 1.04 0.25 16 6.0 1.62 0.71 0.24 Canada, Nova Scotia 18 0.7 0.18 0.08 0.02 6 0.2 0.07 0.02 0.01 Canada, Ontario 274 0.9 0.05 0.09 0.01 119 0.3 0.03 0.03 0.00 Canada, Prince Edward Island 3 0.8 0.49 0.08 0.05 0 - - - - +Canada, Quebec 132 0.6 0.05 0.07 0.01 47 0.2 0.03 0.02 0.00 Canada, Saskatchewan 10 0.4 0.11 0.05 0.02 5 0.1 0.07 0.02 0.01 Canada, Yukon 1 0.4 0.40 0.03 0.03 1 0.5 0.50 0.04 0.04 USA, California, Los Angeles: Non-Hispanic White 66 0.5 0.07 0.06 0.01 35 0.3 0.05 0.03 0.01 USA, California, Los Angeles: Hispanic White 21 0.5 0.12 0.05 0.02 13 0.2 0.06 0.02 0.01 USA, California, Los Angeles: Black 22 0.9 0.21 0.09 0.02 10 0.3 0.09 0.03 0.01 USA, California, Los Angeles: Chinese 64 7.6 0.98 0.75 0.10 23 2.4 0.53 0.23 0.06 USA, California, Los Angeles: Filipino 26 3.7 0.75 0.39 0.09 15 1.6 0.42 0.13 0.04 USA, California, Los Angeles: Japanese 3 0.6 0.33 0.05 0.03 0 - - - - USA, California, Los Angeles: Korean 6 1.1 0.43 0.10 0.04 3 0.5 0.29 0.06 0.04 USA, California, San Francisco: Non-Hispanic White 27 0.4 0.08 0.05 0.01 18 0.2 0.06 0.03 0.01 USA, California, San Francisco: Hispanic White 6 0.5 0.23 0.05 0.03 6 0.4 0.18 0.03 0.02 USA, California, San Francisco: Black 14 1.2 0.32 0.11 0.04 6 0.4 0.17 0.05 0.02 USA, Connecticut: White 54 0.6 0.09 0.07 0.01 26 0.2 0.04 0.01 0.00 USA, Connecticut: Black 8 1.2 0.44 0.08 0.03 1 0.2 0.17 0.02 0.02 USA, Georgia, Atlanta: White 21 0.6 0.13 0.07 0.02 15 0.3 0.10 0.03 0.01 USA, Georgia, Atlanta: Black 9 0.5 0.16 0.04 0.01 4 0.2 0.13 0.04 0.02 USA, Iowa 41 0.5 0.08 0.05 0.01 16 0.1 0.04 0.02 0.00 USA, Louisiana, Central Region: White 6 0.9 0.36 0.08 0.04 4 0.5 0.28 0.06 0.03 USA, Louisiana, Central Region: Black 0 - - - - 3 1.2 0.72 0.11 0.08 USA, Louisiana, New Orleans: White 16 0.9 0.23 0.11 0.03 7 0.3 0.11 0.03 0.01 USA, Louisiana, New Orleans: Black 9 1.1 0.38 0.14 0.05 5 0.4 0.21 0.03 0.02 USA, Michigan, Detroit: White 42 0.5 0.07 0.05 0.01 30 0.3 0.05 0.03 0.01 USA, Michigan, Detroit: Black 23 0.9 0.20 0.10 0.03 10 0.3 0.11 0.03 0.01 USA, New Jersey: White 126 0.6 0.06 0.07 0.01 65 0.3 0.04 0.02 0.00 USA, New Jersey: Black 24 0.9 0.19 0.10 0.02 10 0.3 0.10 0.04 0.01 USA, New Mexico: Non-Hispanic White 7 0.2 0.10 0.02 0.01 2 0.1 0.05 0.01 0.01 USA, New Mexico: Hispanic White 13 0.9 0.26 0.11 0.03 4 0.3 0.13 0.02 0.01 USA, New Mexico: American Indian 5 1.8 0.88 0.22 0.12 3 1.0 0.59 0.18 0.11 USA, New York State: White 250 0.6 0.04 0.07 0.00 142 0.3 0.02 0.03 0.00 USA, New York State: Black 78 1.1 0.13 0.12 0.02 31 0.3 0.06 0.03 0.01 USA, Utah 15 0.3 0.08 0.03 0.01 8 0.2 0.06 0.02 0.01 USA, Washington, Seattle 66 0.6 0.08 0.08 0.01 36 0.3 0.06 0.03 0.01 USA, SEER: White 271 0.5 0.03 0.05 0.00 145 0.2 0.02 0.02 0.00 USA, SEER: Black 57 0.9 0.12 0.09 0.01 23 0.3 0.07 0.04 0.01

Asia*China, Beijing 77 1.0 0.12 0.11 0.01 48 0.6 0.09 0.06 0.01

+*China, Changle *China, Cixian *China, Hong Kong 4075 21.4 0.34 2.26 0.04 1560 8.3 0.22 0.85 0.02*China, Jiashan 41 3.5 0.55 0.43 0.07 19 1.6 0.36 0.16 0.04

+*China, Qidong County 63 2.1 0.27 0.26 0.04 28 0.8 0.15 0.08 0.02+*China, Shanghai 955 4.2 0.14 0.46 0.02 366 1.5 0.08 0.16 0.01

*China, Taiwan 1060 8.9 0.28 0.95 0.03 387 3.4 0.17 0.35 0.02*China, Tianjin 185 1.7 0.13 0.20 0.02 70 0.5 0.07 0.06 0.01+China, Wuhan 436 4.0 0.20 0.45 0.03 205 1.8 0.13 0.19 0.02

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsNasopharynx (C11) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 27 0.3 0.07 0.03 0.01 15 0.2 0.05 0.01 0.00*India, Bangalore 41 0.4 0.07 0.04 0.01 26 0.3 0.06 0.03 0.01 India, Chennai (Madras) 67 0.8 0.10 0.08 0.01 33 0.3 0.06 0.03 0.01*India, Delhi 72 0.5 0.06 0.06 0.01 24 0.2 0.04 0.02 0.00*India, Karunagappally 2 0.2 0.14 0.02 0.02 1 0.1 0.09 0.01 0.01 India, Mumbai (Bombay) 105 0.5 0.05 0.06 0.01 48 0.3 0.04 0.03 0.01*India, Nagpur 5 0.2 0.10 0.02 0.01 5 0.3 0.12 0.03 0.01*India, Poona 24 0.6 0.12 0.07 0.02 5 0.1 0.05 0.02 0.01*India, Trivandrum 14 0.6 0.15 0.06 0.02 6 0.2 0.09 0.02 0.01 Israel: Jews 109 1.0 0.09 0.11 0.01 60 0.5 0.06 0.05 0.01 Israel: Jews born in Israel 32 0.6 0.14 0.06 0.01 18 0.6 0.17 0.09 0.03 Israel: Jews born in Europe or America 30 0.6 0.12 0.07 0.01 12 0.1 0.04 0.02 0.01 Israel: Jews born in Africa or Asia 47 1.4 0.21 0.16 0.03 30 1.9 0.78 0.14 0.04 Israel: Non-Jews 17 1.0 0.27 0.12 0.04 9 0.5 0.18 0.05 0.02 Japan, Hiroshima 8 0.2 0.08 0.02 0.01 6 0.1 0.06 0.01 0.01*Japan, Miyagi Prefecture 41 0.5 0.09 0.05 0.01 24 0.3 0.06 0.03 0.01*Japan, Nagasaki Prefecture 30 0.6 0.12 0.05 0.01 2 0.0 0.02 0.00 0.00*Japan, Osaka Prefecture 159 0.5 0.04 0.06 0.01 52 0.1 0.02 0.02 0.00*Japan, Saga Prefecture 16 0.5 0.12 0.05 0.02 8 0.2 0.08 0.03 0.01*Japan, Yamagata Prefecture 39 0.9 0.15 0.10 0.02 8 0.1 0.06 0.01 0.01*Korea, Busan 29 0.8 0.15 0.09 0.02 16 0.4 0.09 0.04 0.01*Korea, Daegu 19 0.9 0.21 0.11 0.03 8 0.3 0.11 0.03 0.01*Korea, Kangwha County 2 1.1 0.75 0.08 0.06 1 0.3 0.33 0.06 0.06*Korea, Seoul 210 1.0 0.07 0.11 0.01 74 0.3 0.03 0.03 0.00*Kuwait: Kuwaitis 19 2.6 0.64 0.32 0.09 10 0.9 0.30 0.08 0.03*Kuwait: Non-Kuwaitis 16 0.5 0.17 0.05 0.02 6 0.4 0.21 0.04 0.02*Oman: Omani 20 0.9 0.21 0.09 0.02 4 0.2 0.10 0.02 0.01*Pakistan, South Karachi 23 1.2 0.28 0.15 0.04 12 0.8 0.25 0.10 0.04*Philippines, Manila 541 7.2 0.35 0.81 0.05 222 2.5 0.18 0.27 0.02*Philippines, Rizal 395 5.0 0.29 0.57 0.04 166 1.9 0.16 0.21 0.02 Singapore: Chinese 1044 16.3 0.52 1.72 0.06 375 5.4 0.29 0.54 0.03 Singapore: Indian 8 1.3 0.48 0.12 0.05 1 0.1 0.12 0.01 0.01 Singapore: Malay 61 6.8 0.90 0.75 0.11 18 2.0 0.48 0.24 0.06*Thailand, Bangkok 358 4.5 0.25 0.51 0.03 149 1.6 0.13 0.16 0.02*Thailand, Chiang Mai 116 3.2 0.30 0.36 0.04 49 1.3 0.19 0.15 0.02*Thailand, Khon Kaen 86 2.6 0.29 0.29 0.04 37 1.0 0.16 0.10 0.02*Thailand, Lampang 58 2.9 0.38 0.33 0.05 28 1.3 0.26 0.14 0.03*Thailand, Songkhla 61 3.1 0.40 0.40 0.06 27 1.2 0.23 0.13 0.03*Viet Nam, Hanoi 461 10.4 0.49 - - 236 4.6 0.31 - - *Viet Nam, Ho Chi Minh City 326 4.8 0.28 0.55 0.04 153 1.7 0.14 0.18 0.02

Europe Austria, Tyrol 13 0.7 0.19 0.08 0.03 1 0.1 0.06 0.00 0.00 Austria, Vorarlberg 8 0.8 0.28 0.10 0.04 4 0.3 0.17 0.05 0.02

+*Belarus 134 0.5 0.04 0.06 0.01 68 0.2 0.02 0.02 0.00*Belgium, Flanders, (excl. Limburg) 19 0.3 0.07 0.03 0.01 10 0.2 0.06 0.01 0.00*Belgium, Limburg 1 0.1 0.10 0.01 0.01 2 0.2 0.13 0.02 0.02*Croatia 122 0.8 0.08 0.10 0.01 39 0.2 0.04 0.03 0.00 Czech Republic 204 0.6 0.04 0.07 0.01 95 0.2 0.02 0.02 0.00 Denmark 66 0.4 0.05 0.04 0.01 35 0.2 0.03 0.02 0.00 Estonia 23 0.6 0.12 0.07 0.01 12 0.2 0.06 0.02 0.01 Finland 52 0.3 0.04 0.04 0.01 29 0.1 0.03 0.02 0.00 France, Bas-Rhin 11 0.4 0.11 0.03 0.01 3 0.1 0.05 0.01 0.01*France, Calvados 3 0.2 0.09 0.02 0.01 6 0.3 0.12 0.02 0.01 France, Cote d’Or France, Doubs 17 1.1 0.27 0.12 0.03 7 0.3 0.13 0.03 0.02 France, Haut-Rhin 25 1.2 0.24 0.14 0.03 3 0.1 0.07 0.02 0.01*France, Herault 15 0.6 0.16 0.06 0.02 8 0.3 0.11 0.03 0.01 France, Isere 31 0.9 0.17 0.10 0.02 7 0.2 0.08 0.03 0.01*France, Manche 2 0.1 0.10 0.02 0.02 1 0.1 0.10 0.01 0.01*France, Somme 2 0.1 0.06 0.01 0.01 2 0.1 0.09 0.02 0.01 France, Tarn 3 0.2 0.13 0.02 0.01 1 0.0 0.02 - - Germany, Saarland 21 0.6 0.14 0.08 0.02 8 0.2 0.09 0.02 0.01 Iceland 0 - - - - 0 - - - - Ireland 45 0.6 0.09 0.07 0.01 7 0.1 0.03 0.01 0.00 Italy, Biella Province 2 0.4 0.29 0.05 0.04 3 0.4 0.26 0.05 0.03 Italy, Ferrara Province 9 0.8 0.35 0.07 0.03 5 0.5 0.26 0.04 0.02*Italy, Florence 41 0.9 0.15 0.11 0.02 16 0.3 0.09 0.03 0.01 Italy, Genoa Province 28 0.8 0.16 0.08 0.02 14 0.5 0.19 0.05 0.01 Italy, Liguria Italy, Macerata Province 4 0.3 0.16 0.03 0.02 3 0.3 0.19 0.03 0.02 Italy, Modena Province 18 0.7 0.18 0.08 0.02 6 0.2 0.11 0.02 0.01 Italy, North East 29 0.6 0.11 0.07 0.01 15 0.2 0.07 0.03 0.01

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsNasopharynx (C11) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 14 1.1 0.36 0.11 0.03 0 - - - - *Italy, Ragusa Province 9 1.1 0.37 0.11 0.04 5 0.6 0.26 0.05 0.02 Italy, Romagna 27 0.7 0.14 0.07 0.02 13 0.4 0.13 0.04 0.01 Italy, Sassari 3 0.2 0.11 0.02 0.01 1 0.1 0.06 0.01 0.01 Italy, Torino 31 0.9 0.18 0.09 0.02 15 0.3 0.10 0.03 0.01 Italy, Umbria 14 0.8 0.21 0.09 0.02 6 0.3 0.16 0.04 0.01 Italy, Varese Province 33 1.2 0.21 0.13 0.02 7 0.1 0.06 0.03 0.01 Italy, Venetian Region 39 0.8 0.13 0.09 0.02 17 0.3 0.09 0.03 0.01*Latvia 38 0.5 0.09 0.06 0.01 15 0.1 0.04 0.01 0.00 Lithuania 41 0.4 0.06 0.04 0.01 33 0.2 0.04 0.02 0.01 Malta 30 2.6 0.48 0.32 0.06 11 0.9 0.28 0.08 0.03 The Netherlands 222 0.5 0.03 0.05 0.00 82 0.2 0.02 0.02 0.00 The Netherlands, Eindhoven 9 0.3 0.09 0.04 0.01 2 0.0 0.04 0.00 0.00 The Netherlands, Maastricht 21 0.7 0.15 0.08 0.02 4 0.2 0.12 0.02 0.01 Norway 53 0.4 0.06 0.04 0.01 15 0.1 0.03 0.01 0.00*Poland, Cracow 12 0.5 0.16 0.05 0.02 4 0.1 0.06 0.02 0.01*Poland, Kielce 12 0.4 0.13 0.06 0.02 9 0.3 0.10 0.02 0.01*Poland, Lower Silesia 51 0.6 0.09 0.06 0.01 16 0.1 0.04 0.01 0.00 Poland, Warsaw City 25 0.5 0.10 0.05 0.01 20 0.3 0.07 0.04 0.01*Portugal, Vila Nova de Gaia 7 1.0 0.37 0.12 0.05 3 0.3 0.19 0.05 0.03*Russia, St Petersburg 55 0.5 0.07 0.06 0.01 28 0.2 0.04 0.02 0.00 Slovakia 109 0.8 0.08 0.08 0.01 43 0.3 0.04 0.02 0.00 Slovenia 36 0.6 0.10 0.06 0.01 13 0.2 0.04 0.02 0.01 Spain, Albacete 14 1.4 0.41 0.14 0.04 3 0.2 0.13 0.01 0.01 Spain, Asturias 48 1.5 0.23 0.19 0.03 9 0.3 0.10 0.03 0.01*Spain, Canary Islands 15 0.7 0.17 0.07 0.02 7 0.3 0.12 0.03 0.01 Spain, Cuenca 4 0.6 0.33 0.08 0.04 4 0.8 0.39 0.07 0.04 Spain, Girona 9 0.9 0.31 0.10 0.03 1 0.1 0.07 0.01 0.01 Spain, Granada 18 0.8 0.19 0.09 0.02 8 0.2 0.08 0.02 0.01 Spain, Mallorca 13 0.9 0.26 0.09 0.03 5 0.4 0.18 0.03 0.01 Spain, Murcia 20 0.8 0.19 0.09 0.02 4 0.2 0.09 0.02 0.01 Spain, Navarra 14 0.8 0.23 0.09 0.03 10 0.5 0.17 0.05 0.02 Spain, Tarragona 21 1.2 0.28 0.12 0.03 8 0.3 0.13 0.04 0.02*Spain, Zaragoza 22 0.8 0.16 0.10 0.02 9 0.2 0.08 0.02 0.01 Sweden 102 0.3 0.04 0.03 0.00 54 0.1 0.02 0.01 0.00 Switzerland, Basel 9 0.5 0.18 0.05 0.02 5 0.2 0.12 0.02 0.01 Switzerland, Geneva 8 0.5 0.19 0.05 0.02 3 0.2 0.12 0.01 0.01 Switzerland, Graubunden and Glarus 4 0.5 0.28 0.05 0.03 2 0.3 0.24 0.03 0.02 Switzerland, Neuchatel 3 0.7 0.41 0.06 0.04 2 0.4 0.28 0.06 0.04 Switzerland, St Gall-Appenzell 7 0.5 0.19 0.05 0.02 1 0.0 0.04 0.01 0.01*Switzerland, Ticino 1 0.2 0.23 0.04 0.04 1 0.0 0.05 - - Switzerland, Valais 5 0.6 0.26 0.07 0.03 2 0.2 0.16 0.03 0.02 Switzerland, Vaud 4 0.3 0.13 0.03 0.01 6 0.4 0.15 0.03 0.01 Switzerland, Zurich 8 0.2 0.09 0.03 0.01 11 0.3 0.13 0.02 0.01*UK, England 637 0.4 0.02 0.04 0.00 304 0.2 0.01 0.02 0.00 UK, England, East Anglia 24 0.3 0.07 0.03 0.01 10 0.1 0.04 0.01 0.00 UK, England, Merseyside and Cheshire 47 0.6 0.10 0.06 0.01 11 0.1 0.04 0.01 0.00 UK, England, North Western 55 0.4 0.06 0.05 0.01 40 0.3 0.05 0.03 0.01 UK, England, Oxford Region 33 0.4 0.07 0.05 0.01 16 0.2 0.05 0.02 0.01*UK, England, South Thames 81 0.4 0.05 0.04 0.00 40 0.2 0.03 0.02 0.00*UK, England, South and Western Regions 102 0.5 0.05 0.05 0.01 47 0.2 0.03 0.02 0.00 UK, England, Trent 60 0.4 0.05 0.04 0.01 23 0.1 0.03 0.01 0.00*UK, England, West Midlands Region 48 0.3 0.04 0.03 0.00 33 0.2 0.03 0.02 0.00 UK, England, Yorkshire 43 0.4 0.06 0.04 0.01 16 0.1 0.04 0.01 0.00 UK, Northern Ireland 22 0.5 0.11 0.04 0.01 17 0.3 0.09 0.03 0.01 UK, Scotland 72 0.4 0.05 0.05 0.01 35 0.2 0.03 0.02 0.00*Yugoslavia, Vojvodina 53 0.7 0.11 0.08 0.01 21 0.3 0.06 0.03 0.01

Oceania Australia, Capital Territory 7 1.1 0.43 0.08 0.03 2 0.2 0.16 0.02 0.01 Australia, New South Wales 169 0.9 0.07 0.10 0.01 78 0.4 0.05 0.04 0.01 Australia, Northern Territory 4 0.8 0.41 0.08 0.04 1 0.6 0.58 0.10 0.10 Australia, Queensland 58 0.6 0.08 0.06 0.01 27 0.3 0.06 0.03 0.01 Australia, South 28 0.6 0.11 0.06 0.01 8 0.2 0.06 0.02 0.01 Australia, Tasmania 8 0.4 0.15 0.05 0.02 1 0.1 0.10 0.01 0.01 Australia, Victoria 101 0.7 0.08 0.08 0.01 46 0.3 0.05 0.03 0.01 Australia, Western 24 0.5 0.10 0.06 0.01 14 0.2 0.07 0.02 0.01 New Zealand 80 0.8 0.09 0.09 0.01 24 0.2 0.05 0.02 0.00 USA, Hawaii: White 10 1.1 0.36 0.14 0.05 3 0.4 0.23 0.06 0.03 USA, Hawaii: Chinese 22 10.7 2.36 1.15 0.26 8 3.8 1.44 0.36 0.14 USA, Hawaii: Filipino 17 3.5 0.87 0.39 0.11 8 1.5 0.54 0.15 0.06 USA, Hawaii: Hawaiian 17 3.6 0.89 0.37 0.10 5 0.9 0.41 0.11 0.06 USA, Hawaii: Japanese 10 1.1 0.45 0.09 0.04 2 0.1 0.07 0.01 0.01

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsHypopharynx (C12-13)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 6 0.2 0.07 0.02 0.01 0 - - - - *France, La Reunion 35 7.0 1.20 0.77 0.14 1 0.2 0.19 0.02 0.02*The Gambia 0 - - - - 0 - - - - *Mali, Bamako 1 0.1 0.07 0.00 0.00 0 - - - - *Uganda, Kyadondo County 1 0.2 0.19 0.02 0.02 4 0.5 0.27 0.05 0.03*Zimbabwe, Harare: African 10 0.8 0.31 0.10 0.05 1 0.1 0.09 0.01 0.01

America, Central and South*Argentina, Bahia Blanca 5 0.5 0.22 0.07 0.03 3 0.3 0.15 0.03 0.02*Argentina, Concordia 2 0.6 0.45 0.03 0.03 0 - - - - *Brazil, Campinas 24 1.5 0.31 0.18 0.04 0 - - - - *Brazil, Goiania 33 2.8 0.50 0.36 0.08 7 0.5 0.20 0.08 0.04 Colombia, Cali 6 0.2 0.09 0.02 0.01 5 0.2 0.07 0.02 0.01*Costa Rica 11 0.5 0.15 0.07 0.02 1 0.1 0.05 0.01 0.01*Cuba, Villa Clara 12 0.7 0.20 0.08 0.03 3 0.2 0.13 0.03 0.02*Ecuador, Quito 0 - - - - 0 - - - - *France, Martinique 27 2.6 0.51 0.32 0.07 2 0.1 0.04 - - *USA, Puerto Rico 97 2.5 0.26 0.32 0.04 12 0.2 0.07 0.04 0.01*Uruguay, Montevideo 73 3.1 0.37 0.42 0.05 5 0.2 0.08 0.02 0.01

America, North Canada 971 1.1 0.03 0.14 0.01 226 0.2 0.01 0.03 0.00 Canada, Alberta 55 0.7 0.10 0.09 0.01 15 0.2 0.05 0.03 0.01 Canada, British Columbia 123 1.0 0.09 0.13 0.01 34 0.2 0.04 0.03 0.01 Canada, Manitoba 48 1.4 0.20 0.19 0.03 11 0.3 0.09 0.04 0.01 Canada, New Brunswick 24 1.1 0.22 0.16 0.03 1 0.0 0.05 0.01 0.01 Canada, Newfoundland 22 1.4 0.30 0.20 0.04 0 - - - - Canada, Northwest Territories 0 - - - - 0 - - - - Canada, Nova Scotia 31 1.0 0.19 0.14 0.03 8 0.2 0.07 0.02 0.01 Canada, Ontario 355 1.0 0.06 0.14 0.01 94 0.2 0.02 0.03 0.00 Canada, Prince Edward Island 4 1.0 0.49 0.18 0.09 0 - - - - +Canada, Quebec 272 1.2 0.07 0.16 0.01 57 0.2 0.03 0.03 0.00 Canada, Saskatchewan 36 1.0 0.18 0.13 0.03 6 0.2 0.08 0.03 0.01 Canada, Yukon 1 0.8 0.77 0.13 0.13 1 0.8 0.79 - - USA, California, Los Angeles: Non-Hispanic White 136 1.0 0.09 0.14 0.01 45 0.3 0.05 0.04 0.01 USA, California, Los Angeles: Hispanic White 32 0.9 0.16 0.12 0.03 7 0.2 0.06 0.02 0.01 USA, California, Los Angeles: Black 54 2.4 0.33 0.33 0.05 11 0.4 0.11 0.05 0.02 USA, California, Los Angeles: Chinese 3 0.4 0.24 0.06 0.03 0 - - - - USA, California, Los Angeles: Filipino 3 0.5 0.32 0.08 0.05 0 - - - - USA, California, Los Angeles: Japanese 2 0.4 0.34 0.05 0.03 1 0.1 0.11 0.02 0.02 USA, California, Los Angeles: Korean 3 0.8 0.49 0.08 0.06 0 - - - - USA, California, San Francisco: Non-Hispanic White 107 1.4 0.14 0.16 0.02 39 0.5 0.08 0.07 0.01 USA, California, San Francisco: Hispanic White 11 1.1 0.32 0.09 0.04 3 0.3 0.15 0.04 0.02 USA, California, San Francisco: Black 24 2.2 0.45 0.25 0.06 8 0.7 0.25 0.08 0.03 USA, Connecticut: White 120 1.2 0.11 0.15 0.02 44 0.4 0.06 0.04 0.01 USA, Connecticut: Black 21 3.7 0.82 0.42 0.10 4 0.5 0.25 0.04 0.02 USA, Georgia, Atlanta: White 47 1.1 0.17 0.15 0.03 15 0.3 0.07 0.03 0.01 USA, Georgia, Atlanta: Black 33 2.4 0.45 0.31 0.06 8 0.5 0.19 0.07 0.03 USA, Iowa 83 0.9 0.10 0.12 0.01 25 0.2 0.05 0.03 0.01 USA, Louisiana, Central Region: White 10 1.6 0.52 0.21 0.07 1 0.2 0.15 0.02 0.02 USA, Louisiana, Central Region: Black 5 3.4 1.54 0.53 0.24 2 1.0 0.72 0.15 0.10 USA, Louisiana, New Orleans: White 27 1.3 0.26 0.15 0.03 7 0.2 0.07 0.02 0.01 USA, Louisiana, New Orleans: Black 15 2.1 0.54 0.24 0.07 5 0.5 0.21 0.06 0.03 USA, Michigan, Detroit: White 123 1.3 0.12 0.17 0.02 26 0.2 0.04 0.03 0.01 USA, Michigan, Detroit: Black 70 3.2 0.39 0.40 0.05 20 0.7 0.16 0.09 0.02 USA, New Jersey: White 254 1.2 0.08 0.15 0.01 69 0.2 0.03 0.03 0.00 USA, New Jersey: Black 58 2.4 0.32 0.31 0.05 19 0.6 0.13 0.08 0.02 USA, New Mexico: Non-Hispanic White 30 1.0 0.19 0.13 0.03 10 0.2 0.08 0.04 0.01 USA, New Mexico: Hispanic White 14 1.0 0.28 0.13 0.04 2 0.1 0.10 0.02 0.01 USA, New Mexico: American Indian 5 1.8 0.83 0.09 0.09 0 - - - - USA, New York State: White 508 1.1 0.05 0.14 0.01 153 0.3 0.02 0.03 0.00 USA, New York State: Black 172 2.6 0.20 0.32 0.03 29 0.3 0.05 0.03 0.01 USA, Utah 25 0.6 0.12 0.06 0.01 5 0.1 0.04 0.01 0.01 USA, Washington, Seattle 110 1.0 0.10 0.14 0.02 43 0.3 0.06 0.04 0.01 USA, SEER: White 678 1.1 0.04 0.14 0.01 214 0.3 0.02 0.04 0.00 USA, SEER: Black 157 2.8 0.23 0.35 0.03 43 0.7 0.10 0.08 0.01

Asia*China, Beijing 30 0.3 0.07 0.04 0.01 2 0.0 0.02 0.00 0.00

+*China, Changle *China, Cixian *China, Hong Kong 265 1.5 0.09 0.19 0.01 21 0.1 0.02 0.01 0.00*China, Jiashan 3 0.3 0.16 0.05 0.03 0 - - - -

+*China, Qidong County 0 - - - - 1 0.0 0.03 0.00 0.00+*China, Shanghai 36 0.1 0.02 0.02 0.00 5 0.0 0.01 0.00 0.00

*China, Taiwan 317 2.8 0.16 0.33 0.02 10 0.1 0.03 0.01 0.00*China, Tianjin 27 0.2 0.04 0.04 0.01 3 0.0 0.01 0.00 0.00+China, Wuhan 5 0.1 0.02 0.01 0.00 2 0.0 0.01 0.00 0.00

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsHypopharynx (C12-13) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 432 7.6 0.38 1.01 0.06 100 1.6 0.16 0.15 0.02*India, Bangalore 418 5.5 0.28 0.69 0.04 101 1.4 0.14 0.16 0.02 India, Chennai (Madras) 388 5.0 0.26 0.61 0.04 143 1.9 0.16 0.23 0.02*India, Delhi 318 2.7 0.16 0.36 0.02 52 0.4 0.06 0.04 0.01*India, Karunagappally 19 2.1 0.48 0.24 0.06 3 0.3 0.18 0.03 0.02 India, Mumbai (Bombay) 989 5.9 0.20 0.76 0.03 272 1.8 0.11 0.21 0.02*India, Nagpur 105 6.1 0.61 0.71 0.08 13 0.6 0.19 0.06 0.02*India, Poona 133 3.4 0.31 0.46 0.05 49 1.2 0.18 0.14 0.02*India, Trivandrum 46 2.1 0.31 0.25 0.04 7 0.3 0.11 0.04 0.02 Israel: Jews 27 0.2 0.04 0.03 0.01 11 0.1 0.02 0.01 0.00 Israel: Jews born in Israel 0 - - - - 2 0.1 0.09 0.02 0.01 Israel: Jews born in Europe or America 18 0.3 0.08 0.03 0.01 8 0.1 0.05 0.01 0.00 Israel: Jews born in Africa or Asia 9 0.2 0.08 0.04 0.01 1 0.0 0.02 0.00 0.00 Israel: Non-Jews 1 0.1 0.07 - - 0 - - - - Japan, Hiroshima 44 1.2 0.19 0.16 0.03 5 0.1 0.04 0.00 0.00*Japan, Miyagi Prefecture 116 1.3 0.12 0.17 0.02 15 0.1 0.04 0.02 0.00*Japan, Nagasaki Prefecture 83 1.3 0.15 0.16 0.02 10 0.1 0.04 0.01 0.01*Japan, Osaka Prefecture 405 1.3 0.06 0.16 0.01 50 0.1 0.02 0.02 0.00*Japan, Saga Prefecture 49 1.4 0.21 0.18 0.03 3 0.1 0.03 0.01 0.01*Japan, Yamagata Prefecture 40 0.7 0.11 0.08 0.01 16 0.3 0.07 0.03 0.01*Korea, Busan 22 0.8 0.19 0.12 0.03 1 0.0 0.03 - - *Korea, Daegu 15 0.8 0.23 0.08 0.02 2 0.1 0.05 - - *Korea, Kangwha County 1 0.3 0.33 0.04 0.04 0 - - - - *Korea, Seoul 171 1.1 0.09 0.15 0.01 11 0.0 0.01 0.01 0.00*Kuwait: Kuwaitis 2 0.4 0.28 0.05 0.05 4 0.8 0.38 0.02 0.02*Kuwait: Non-Kuwaitis 11 0.5 0.19 0.05 0.02 2 0.1 0.06 0.01 0.00*Oman: Omani 6 0.3 0.13 0.03 0.02 1 0.1 0.06 0.02 0.02*Pakistan, South Karachi 54 3.7 0.53 0.46 0.07 18 1.6 0.41 0.22 0.06*Philippines, Manila 28 0.6 0.11 0.07 0.02 29 0.4 0.08 0.06 0.01*Philippines, Rizal 16 0.3 0.09 0.04 0.01 12 0.1 0.05 0.01 0.01 Singapore: Chinese 91 1.8 0.19 0.22 0.03 4 0.0 0.02 - - Singapore: Indian 7 1.2 0.45 0.08 0.04 3 0.6 0.37 0.02 0.02 Singapore: Malay 2 0.3 0.22 0.03 0.03 0 - - - - *Thailand, Bangkok 88 1.4 0.16 0.18 0.02 9 0.1 0.04 0.01 0.01*Thailand, Chiang Mai 64 1.9 0.24 0.24 0.04 14 0.4 0.10 0.03 0.01*Thailand, Khon Kaen 12 0.4 0.12 0.03 0.01 4 0.1 0.06 0.02 0.01*Thailand, Lampang 18 0.9 0.21 0.09 0.03 5 0.3 0.12 0.04 0.02*Thailand, Songkhla 46 2.6 0.38 0.36 0.06 3 0.2 0.09 0.02 0.01*Viet Nam, Hanoi 21 0.5 0.12 - - 2 0.0 0.02 - - *Viet Nam, Ho Chi Minh City 115 2.1 0.20 0.26 0.03 23 0.3 0.06 0.02 0.01

Europe Austria, Tyrol 27 1.5 0.28 0.18 0.04 4 0.2 0.11 0.02 0.01 Austria, Vorarlberg 20 1.9 0.44 0.24 0.07 3 0.2 0.14 0.04 0.02

+*Belarus 649 2.3 0.09 0.28 0.01 12 0.0 0.01 0.00 0.00*Belgium, Flanders, (excl. Limburg) 124 1.7 0.16 0.21 0.02 15 0.2 0.05 0.03 0.01*Belgium, Limburg 7 0.7 0.25 0.06 0.03 1 0.1 0.11 0.01 0.01*Croatia 607 4.0 0.16 0.50 0.02 41 0.2 0.04 0.02 0.00 Czech Republic 392 1.2 0.06 0.14 0.01 37 0.1 0.01 0.01 0.00 Denmark 168 0.9 0.07 0.11 0.01 49 0.2 0.04 0.03 0.00 Estonia 102 2.4 0.24 0.31 0.03 7 0.1 0.05 0.02 0.01 Finland 82 0.5 0.05 0.06 0.01 28 0.1 0.02 0.01 0.00 France, Bas-Rhin 380 12.9 0.67 1.51 0.08 22 0.7 0.15 0.08 0.02*France, Calvados 202 10.5 0.76 1.29 0.10 5 0.3 0.12 0.03 0.01 France, Cote d’Or France, Doubs 120 7.8 0.72 0.96 0.09 6 0.3 0.14 0.05 0.02 France, Haut-Rhin 176 8.3 0.63 0.98 0.08 5 0.2 0.08 0.02 0.01*France, Herault 129 4.6 0.42 0.53 0.05 7 0.2 0.09 0.02 0.01 France, Isere 189 5.9 0.43 0.72 0.06 17 0.5 0.12 0.06 0.01*France, Manche 122 8.8 0.83 1.03 0.10 2 0.2 0.12 0.02 0.01*France, Somme 173 10.2 0.79 1.23 0.10 7 0.5 0.17 0.04 0.02 France, Tarn 59 4.6 0.64 0.54 0.08 3 0.3 0.16 0.03 0.01 Germany, Saarland 141 3.7 0.32 0.41 0.04 23 0.5 0.12 0.06 0.01 Iceland 3 0.4 0.21 0.04 0.03 0 - - - - Ireland 107 1.3 0.12 0.15 0.02 51 0.4 0.07 0.06 0.01 Italy, Biella Province 19 3.7 0.89 0.54 0.13 3 0.6 0.34 0.07 0.04 Italy, Ferrara Province 17 1.0 0.25 0.14 0.04 2 0.1 0.08 0.02 0.01*Italy, Florence 42 0.9 0.14 0.11 0.02 8 0.2 0.07 0.02 0.01 Italy, Genoa Province 56 1.6 0.22 0.22 0.03 5 0.1 0.06 0.01 0.01 Italy, Liguria Italy, Macerata Province 2 0.2 0.12 0.02 0.02 1 0.0 0.02 - - Italy, Modena Province 19 0.7 0.16 0.09 0.02 4 0.1 0.06 0.02 0.01 Italy, North East 196 4.1 0.30 0.51 0.04 20 0.3 0.08 0.04 0.01

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rates and standard errorsHypopharynx (C12-13) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 36 2.3 0.40 0.26 0.05 4 0.1 0.05 0.01 0.01*Italy, Ragusa Province 3 0.3 0.20 0.04 0.03 1 0.1 0.05 0.01 0.01 Italy, Romagna 19 0.4 0.10 0.06 0.01 5 0.1 0.04 0.01 0.01 Italy, Sassari 26 1.6 0.33 0.20 0.04 2 0.1 0.08 0.02 0.01 Italy, Torino 51 1.4 0.19 0.17 0.03 6 0.1 0.05 0.02 0.01 Italy, Umbria 18 0.8 0.21 0.11 0.03 0 - - - - Italy, Varese Province 93 3.0 0.32 0.41 0.05 14 0.3 0.10 0.03 0.01 Italy, Venetian Region 110 2.0 0.19 0.23 0.02 10 0.2 0.05 0.02 0.01*Latvia 163 2.2 0.17 0.26 0.02 14 0.1 0.03 0.01 0.00 Lithuania 243 2.4 0.16 0.30 0.02 10 0.1 0.02 0.01 0.00 Malta 4 0.3 0.18 0.04 0.03 1 0.1 0.08 0.01 0.01 The Netherlands 612 1.2 0.05 0.15 0.01 157 0.3 0.02 0.03 0.00 The Netherlands, Eindhoven 40 1.2 0.20 0.12 0.02 3 0.1 0.06 0.01 0.01 The Netherlands, Maastricht 47 1.5 0.22 0.18 0.03 9 0.2 0.08 0.03 0.01 Norway 130 0.9 0.08 0.11 0.01 27 0.1 0.03 0.02 0.00*Poland, Cracow 12 0.5 0.16 0.07 0.02 4 0.1 0.06 0.02 0.01*Poland, Kielce 13 0.5 0.13 0.05 0.02 1 0.0 0.01 - - *Poland, Lower Silesia 48 0.6 0.09 0.07 0.01 9 0.1 0.03 0.01 0.00 Poland, Warsaw City 43 0.8 0.12 0.10 0.02 12 0.2 0.05 0.02 0.01*Portugal, Vila Nova de Gaia 7 0.9 0.33 0.11 0.04 1 0.1 0.11 0.03 0.03*Russia, St Petersburg 308 2.8 0.16 0.35 0.02 25 0.1 0.03 0.02 0.00 Slovakia 644 4.5 0.18 0.52 0.02 29 0.2 0.03 0.02 0.00 Slovenia 243 3.9 0.25 0.47 0.03 11 0.1 0.05 0.02 0.01 Spain, Albacete 16 1.6 0.40 0.18 0.05 1 0.0 0.02 - - Spain, Asturias 146 4.9 0.42 0.57 0.05 8 0.2 0.08 0.02 0.01*Spain, Canary Islands 99 4.5 0.46 0.53 0.06 3 0.1 0.07 0.02 0.01 Spain, Cuenca 4 0.5 0.29 0.07 0.03 1 0.1 0.11 0.01 0.01 Spain, Girona 32 3.0 0.55 0.35 0.07 1 0.1 0.12 0.01 0.01 Spain, Granada 70 2.8 0.34 0.36 0.04 1 0.0 0.04 0.00 0.00 Spain, Mallorca 58 3.8 0.50 0.45 0.06 1 0.1 0.06 0.01 0.01 Spain, Murcia 52 2.2 0.32 0.24 0.04 2 0.1 0.07 0.01 0.01 Spain, Navarra 42 2.3 0.37 0.25 0.04 1 0.0 0.02 - - Spain, Tarragona 63 3.3 0.42 0.39 0.05 1 0.1 0.07 0.01 0.01*Spain, Zaragoza 50 1.8 0.26 0.20 0.03 1 0.0 0.02 0.00 0.00 Sweden 244 0.7 0.05 0.09 0.01 63 0.1 0.02 0.02 0.00 Switzerland, Basel 34 2.2 0.38 0.22 0.04 5 0.3 0.13 0.03 0.01 Switzerland, Geneva 50 3.6 0.51 0.45 0.07 5 0.3 0.14 0.04 0.02 Switzerland, Graubunden and Glarus 16 2.2 0.56 0.29 0.08 5 0.6 0.28 0.07 0.04 Switzerland, Neuchatel 23 5.4 1.13 0.63 0.14 1 0.2 0.23 0.03 0.03 Switzerland, St Gall-Appenzell 25 1.5 0.31 0.17 0.04 4 0.2 0.12 0.02 0.01*Switzerland, Ticino 11 2.5 0.76 0.29 0.09 0 - - - - Switzerland, Valais 44 5.0 0.77 0.57 0.10 3 0.4 0.22 0.04 0.02 Switzerland, Vaud 80 5.1 0.58 0.56 0.07 13 0.7 0.20 0.07 0.02 Switzerland, Zurich 67 2.0 0.25 0.27 0.04 11 0.3 0.09 0.04 0.01*UK, England 1151 0.6 0.02 0.08 0.00 578 0.2 0.01 0.03 0.00 UK, England, East Anglia 31 0.4 0.07 0.05 0.01 25 0.3 0.06 0.03 0.01 UK, England, Merseyside and Cheshire 86 1.0 0.11 0.12 0.02 23 0.2 0.05 0.02 0.01 UK, England, North Western 119 0.8 0.08 0.09 0.01 66 0.4 0.05 0.05 0.01 UK, England, Oxford Region 40 0.4 0.07 0.06 0.01 15 0.1 0.04 0.03 0.01*UK, England, South Thames 136 0.5 0.05 0.07 0.01 73 0.2 0.03 0.03 0.00*UK, England, South and Western Regions 133 0.5 0.04 0.06 0.01 83 0.2 0.03 0.03 0.00 UK, England, Trent 108 0.6 0.06 0.07 0.01 57 0.3 0.04 0.03 0.01*UK, England, West Midlands Region 158 0.8 0.06 0.09 0.01 67 0.2 0.03 0.03 0.00 UK, England, Yorkshire 112 0.8 0.08 0.09 0.01 39 0.2 0.04 0.02 0.01 UK, Northern Ireland 39 0.8 0.14 0.11 0.02 25 0.4 0.08 0.05 0.01 UK, Scotland 233 1.3 0.09 0.16 0.01 92 0.4 0.04 0.04 0.01*Yugoslavia, Vojvodina 254 3.5 0.22 0.41 0.03 25 0.3 0.07 0.04 0.01

Oceania Australia, Capital Territory 5 0.7 0.32 0.10 0.05 0 - - - - Australia, New South Wales 282 1.5 0.09 0.20 0.01 48 0.2 0.03 0.03 0.00 Australia, Northern Territory 13 4.4 1.30 0.63 0.21 0 - - - - Australia, Queensland 154 1.6 0.13 0.20 0.02 28 0.2 0.05 0.03 0.01 Australia, South 33 0.7 0.12 0.09 0.02 2 0.1 0.04 0.01 0.00 Australia, Tasmania 22 1.5 0.32 0.18 0.04 5 0.3 0.14 0.04 0.02 Australia, Victoria 196 1.4 0.10 0.19 0.01 38 0.2 0.04 0.03 0.01 Australia, Western 74 1.5 0.17 0.19 0.03 8 0.2 0.06 0.02 0.01 New Zealand 69 0.6 0.07 0.09 0.01 16 0.1 0.04 0.02 0.00 USA, Hawaii: White 19 2.1 0.50 0.25 0.07 6 0.8 0.32 0.10 0.04 USA, Hawaii: Chinese 3 0.9 0.58 0.04 0.04 0 - - - - USA, Hawaii: Filipino 12 1.9 0.60 0.25 0.09 1 0.2 0.23 0.03 0.03 USA, Hawaii: Hawaiian 7 1.8 0.68 0.23 0.09 1 0.3 0.27 0.03 0.03 USA, Hawaii: Japanese 23 1.8 0.41 0.20 0.05 0 - - - -

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsPharynx unspecified (C14)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 5 0.1 0.05 0.01 0.01 4 0.1 0.04 0.01 0.00*France, La Reunion 6 1.1 0.46 0.13 0.06 0 - - - - *The Gambia 0 - - - - 0 - - - - *Mali, Bamako 1 0.3 0.28 0.05 0.05 1 0.1 0.11 0.01 0.01*Uganda, Kyadondo County 7 0.7 0.32 0.05 0.03 0 - - - - *Zimbabwe, Harare: African 2 0.2 0.12 0.02 0.01 1 0.0 0.03 0.00 0.00

America, Central and South*Argentina, Bahia Blanca 6 0.6 0.23 0.09 0.04 1 0.1 0.09 0.01 0.01*Argentina, Concordia 2 0.6 0.44 0.11 0.09 0 - - - - *Brazil, Campinas 7 0.5 0.17 0.06 0.02 2 0.1 0.08 0.02 0.02*Brazil, Goiania 2 0.1 0.07 0.01 0.01 1 0.1 0.06 0.01 0.01 Colombia, Cali 15 0.6 0.15 0.06 0.02 6 0.2 0.08 0.01 0.01*Costa Rica 9 0.4 0.12 0.04 0.02 3 0.1 0.07 0.02 0.01*Cuba, Villa Clara 3 0.1 0.06 - - 3 0.2 0.10 0.01 0.01*Ecuador, Quito 4 0.2 0.10 0.03 0.02 2 0.1 0.05 0.01 0.01*France, Martinique 24 2.1 0.45 0.20 0.05 3 0.3 0.18 0.03 0.02*USA, Puerto Rico 39 1.0 0.17 0.12 0.02 13 0.3 0.08 0.02 0.01*Uruguay, Montevideo 13 0.5 0.13 0.05 0.02 1 0.0 0.01 - -

America, North Canada 438 0.5 0.02 0.06 0.00 169 0.2 0.01 0.02 0.00 Canada, Alberta 17 0.2 0.06 0.04 0.01 8 0.1 0.03 0.00 0.00 Canada, British Columbia 52 0.4 0.06 0.05 0.01 15 0.1 0.03 0.01 0.00 Canada, Manitoba 10 0.3 0.09 0.04 0.01 8 0.2 0.08 0.02 0.01 Canada, New Brunswick 11 0.5 0.15 0.05 0.02 1 0.0 0.04 0.01 0.01 Canada, Newfoundland 6 0.4 0.15 0.05 0.02 3 0.2 0.11 0.02 0.01 Canada, Northwest Territories 2 0.9 0.68 0.19 0.15 0 - - - - Canada, Nova Scotia 12 0.4 0.13 0.05 0.02 6 0.1 0.06 0.02 0.01 Canada, Ontario 148 0.4 0.04 0.05 0.01 62 0.2 0.02 0.02 0.00 Canada, Prince Edward Island 3 0.8 0.44 0.13 0.08 3 0.4 0.24 0.08 0.06+Canada, Quebec 161 0.7 0.06 0.10 0.01 58 0.2 0.03 0.03 0.00 Canada, Saskatchewan 16 0.5 0.13 0.08 0.02 5 0.1 0.06 0.01 0.01 Canada, Yukon 2 1.6 1.15 0.34 0.25 1 0.5 0.50 0.04 0.04 USA, California, Los Angeles: Non-Hispanic White 45 0.4 0.06 0.05 0.01 18 0.1 0.03 0.02 0.00 USA, California, Los Angeles: Hispanic White 6 0.2 0.07 0.02 0.01 1 0.0 0.02 0.00 0.00 USA, California, Los Angeles: Black 13 0.5 0.15 0.07 0.02 2 0.1 0.05 0.01 0.01 USA, California, Los Angeles: Chinese 0 - - - - 0 - - - - USA, California, Los Angeles: Filipino 1 0.2 0.21 0.05 0.05 0 - - - - USA, California, Los Angeles: Japanese 0 - - - - 0 - - - - USA, California, Los Angeles: Korean 0 - - - - 0 - - - - USA, California, San Francisco: Non-Hispanic White 22 0.3 0.06 0.03 0.01 19 0.2 0.05 0.03 0.01 USA, California, San Francisco: Hispanic White 4 0.4 0.21 0.04 0.03 0 - - - - USA, California, San Francisco: Black 10 0.9 0.30 0.12 0.04 2 0.1 0.10 0.01 0.01 USA, Connecticut: White 42 0.4 0.07 0.05 0.01 19 0.1 0.04 0.02 0.01 USA, Connecticut: Black 3 0.5 0.32 0.09 0.06 0 - - - - USA, Georgia, Atlanta: White 17 0.4 0.10 0.04 0.01 12 0.2 0.06 0.02 0.01 USA, Georgia, Atlanta: Black 7 0.5 0.21 0.07 0.04 4 0.2 0.12 0.03 0.02 USA, Iowa 34 0.4 0.06 0.05 0.01 17 0.1 0.03 0.01 0.00 USA, Louisiana, Central Region: White 3 0.4 0.21 0.05 0.03 1 0.1 0.13 0.02 0.02 USA, Louisiana, Central Region: Black 3 1.8 1.06 0.17 0.11 0 - - - - USA, Louisiana, New Orleans: White 10 0.5 0.16 0.07 0.02 2 0.1 0.07 0.01 0.01 USA, Louisiana, New Orleans: Black 8 1.0 0.35 0.15 0.06 3 0.3 0.17 0.05 0.03 USA, Michigan, Detroit: White 63 0.7 0.09 0.08 0.01 21 0.2 0.04 0.02 0.01 USA, Michigan, Detroit: Black 27 1.3 0.25 0.16 0.03 9 0.3 0.11 0.04 0.01 USA, New Jersey: White 111 0.5 0.05 0.06 0.01 54 0.2 0.03 0.02 0.00 USA, New Jersey: Black 24 1.0 0.20 0.12 0.03 3 0.1 0.06 0.01 0.01 USA, New Mexico: Non-Hispanic White 10 0.3 0.10 0.03 0.01 6 0.2 0.08 0.03 0.01 USA, New Mexico: Hispanic White 6 0.4 0.15 0.07 0.03 0 - - - - USA, New Mexico: American Indian 1 0.4 0.45 0.06 0.06 0 - - - - USA, New York State: White 177 0.4 0.03 0.05 0.00 95 0.1 0.02 0.02 0.00 USA, New York State: Black 65 1.0 0.12 0.13 0.02 13 0.1 0.04 0.01 0.00 USA, Utah 8 0.2 0.06 0.01 0.01 7 0.1 0.06 0.02 0.01 USA, Washington, Seattle 57 0.5 0.07 0.07 0.01 19 0.1 0.03 0.02 0.01 USA, SEER: White 259 0.4 0.03 0.05 0.00 121 0.1 0.01 0.02 0.00 USA, SEER: Black 53 1.0 0.14 0.13 0.02 15 0.2 0.06 0.03 0.01

Asia*China, Beijing 8 0.1 0.04 0.01 0.00 0 - - - -

+*China, Changle *China, Cixian *China, Hong Kong 22 0.1 0.03 0.02 0.00 7 0.0 0.01 0.00 0.00*China, Jiashan 0 - - - - 0 - - - -

+*China, Qidong County 1 0.0 0.02 0.00 0.00 0 - - - - +*China, Shanghai 9 0.0 0.01 0.00 0.00 2 0.0 0.01 0.00 0.00

*China, Taiwan 39 0.3 0.05 0.04 0.01 7 0.1 0.02 0.00 0.00*China, Tianjin 7 0.1 0.02 0.01 0.00 3 0.0 0.01 0.00 0.00+China, Wuhan 7 0.1 0.03 0.01 0.00 3 0.0 0.02 0.00 0.00

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsPharynx unspecified (C14) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 72 1.2 0.15 0.15 0.02 15 0.3 0.07 0.03 0.01*India, Bangalore 62 0.8 0.10 0.09 0.01 24 0.3 0.07 0.05 0.01 India, Chennai (Madras) 62 0.8 0.11 0.09 0.02 10 0.1 0.04 0.01 0.01*India, Delhi 56 0.5 0.07 0.08 0.01 12 0.1 0.04 0.01 0.01*India, Karunagappally 4 0.4 0.21 0.03 0.02 0 - - - - India, Mumbai (Bombay) 210 1.3 0.09 0.15 0.01 51 0.3 0.05 0.03 0.01*India, Nagpur 17 1.0 0.24 0.11 0.03 7 0.4 0.15 0.05 0.02*India, Poona 26 0.7 0.14 0.08 0.02 9 0.2 0.07 0.02 0.01*India, Trivandrum 1 0.0 0.05 0.00 0.00 0 - - - - Israel: Jews 10 0.1 0.02 0.01 0.00 5 0.0 0.02 0.00 0.00 Israel: Jews born in Israel 2 0.1 0.06 0.01 0.01 0 - - - - Israel: Jews born in Europe or America 6 0.1 0.03 0.00 0.00 2 0.0 0.03 0.00 0.00 Israel: Jews born in Africa or Asia 2 0.1 0.04 0.01 0.00 3 0.1 0.05 0.01 0.00 Israel: Non-Jews 0 - - - - 1 0.1 0.07 - - Japan, Hiroshima 7 0.2 0.07 0.01 0.01 1 0.0 0.03 0.00 0.00*Japan, Miyagi Prefecture 16 0.2 0.04 0.02 0.01 3 0.0 0.02 0.00 0.00*Japan, Nagasaki Prefecture 24 0.4 0.07 0.05 0.01 7 0.1 0.04 0.01 0.00*Japan, Osaka Prefecture 40 0.1 0.02 0.01 0.00 7 0.0 0.01 0.00 0.00*Japan, Saga Prefecture 5 0.2 0.07 0.02 0.01 2 0.0 0.01 - - *Japan, Yamagata Prefecture 10 0.2 0.05 0.02 0.01 3 0.0 0.02 0.00 0.00*Korea, Busan 7 0.2 0.08 0.03 0.01 2 0.1 0.04 0.01 0.01*Korea, Daegu 5 0.3 0.12 0.03 0.02 1 0.0 0.04 0.01 0.01*Korea, Kangwha County 1 0.4 0.44 0.04 0.04 0 - - - - *Korea, Seoul 25 0.2 0.03 0.01 0.00 7 0.0 0.01 0.00 0.00*Kuwait: Kuwaitis 0 - - - - 0 - - - - *Kuwait: Non-Kuwaitis 1 0.0 0.02 0.00 0.00 0 - - - - *Oman: Omani 7 0.3 0.13 0.03 0.01 2 0.1 0.08 0.01 0.01*Pakistan, South Karachi 17 1.3 0.33 0.18 0.05 5 0.4 0.19 0.03 0.02*Philippines, Manila 42 0.8 0.13 0.11 0.02 46 0.7 0.10 0.08 0.01*Philippines, Rizal 49 0.9 0.14 0.12 0.02 29 0.5 0.09 0.06 0.01 Singapore: Chinese 11 0.2 0.06 0.03 0.01 1 0.0 0.01 - - Singapore: Indian 2 0.3 0.20 0.05 0.04 0 - - - - Singapore: Malay 0 - - - - 1 0.1 0.13 0.02 0.02*Thailand, Bangkok 18 0.3 0.07 0.04 0.01 4 0.1 0.03 0.01 0.00*Thailand, Chiang Mai 4 0.1 0.06 0.02 0.01 3 0.1 0.05 0.01 0.01*Thailand, Khon Kaen 4 0.1 0.05 0.00 0.00 0 - - - - *Thailand, Lampang 4 0.2 0.11 0.03 0.01 1 0.1 0.05 0.01 0.01*Thailand, Songkhla 6 0.3 0.14 0.05 0.02 1 0.1 0.05 0.01 0.01*Viet Nam, Hanoi 54 1.3 0.18 - - 19 0.4 0.08 - - *Viet Nam, Ho Chi Minh City 1 0.0 0.02 0.00 0.00 0 - - - -

Europe Austria, Tyrol 10 0.5 0.16 0.04 0.02 2 0.2 0.13 0.01 0.01 Austria, Vorarlberg 6 0.6 0.25 0.07 0.03 0 - - - -

+*Belarus 40 0.1 0.02 0.02 0.00 8 0.0 0.01 0.00 0.00*Belgium, Flanders, (excl. Limburg) 28 0.3 0.07 0.04 0.01 7 0.1 0.03 0.01 0.00*Belgium, Limburg 17 1.5 0.37 0.17 0.05 4 0.5 0.25 0.05 0.02*Croatia 82 0.5 0.06 0.07 0.01 10 0.0 0.01 0.01 0.00 Czech Republic 38 0.1 0.02 0.01 0.00 12 0.0 0.01 0.00 0.00 Denmark 34 0.2 0.04 0.02 0.00 3 0.0 0.01 0.00 0.00 Estonia 9 0.2 0.07 0.03 0.01 0 - - - - Finland 9 0.1 0.02 0.01 0.00 3 0.0 0.01 0.00 0.00 France, Bas-Rhin 74 2.5 0.29 0.29 0.04 6 0.1 0.06 0.03 0.01*France, Calvados 13 0.7 0.20 0.08 0.02 0 - - - - France, Cote d’Or France, Doubs 12 0.8 0.23 0.11 0.03 1 0.1 0.05 0.01 0.01 France, Haut-Rhin 66 3.0 0.37 0.38 0.05 4 0.2 0.10 0.02 0.01*France, Herault 14 0.6 0.16 0.06 0.02 1 0.0 0.03 0.00 0.00 France, Isere 28 0.9 0.17 0.11 0.02 6 0.2 0.08 0.02 0.01*France, Manche 39 3.2 0.52 0.36 0.06 3 0.2 0.14 0.02 0.01*France, Somme 57 3.5 0.47 0.41 0.06 3 0.2 0.11 0.01 0.01 France, Tarn 3 0.3 0.18 0.03 0.02 0 - - - - Germany, Saarland 46 1.2 0.18 0.13 0.02 7 0.1 0.06 0.02 0.01 Iceland 1 0.2 0.16 0.02 0.02 1 0.0 0.05 - - Ireland 42 0.5 0.07 0.05 0.01 10 0.1 0.03 0.01 0.00 Italy, Biella Province 3 0.5 0.27 0.07 0.05 1 0.1 0.14 0.02 0.02 Italy, Ferrara Province 11 0.7 0.21 0.09 0.03 4 0.2 0.08 0.02 0.01*Italy, Florence 11 0.2 0.05 0.02 0.01 5 0.1 0.05 0.01 0.01 Italy, Genoa Province 10 0.3 0.10 0.04 0.01 3 0.1 0.06 0.01 0.01 Italy, Liguria Italy, Macerata Province 2 0.1 0.09 0.01 0.01 0 - - - - Italy, Modena Province 7 0.3 0.11 0.03 0.01 0 - - - - Italy, North East 99 2.1 0.21 0.25 0.03 21 0.3 0.07 0.04 0.01

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsPharynx unspecified (C14) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 5 0.3 0.14 0.04 0.02 0 - - - - *Italy, Ragusa Province 0 - - - - 0 - - - - Italy, Romagna 8 0.2 0.07 0.02 0.01 5 0.1 0.03 0.01 0.00 Italy, Sassari 38 2.4 0.40 0.29 0.05 3 0.1 0.09 0.01 0.01 Italy, Torino 11 0.3 0.09 0.04 0.01 4 0.1 0.06 0.01 0.01 Italy, Umbria 6 0.2 0.08 0.02 0.01 1 0.0 0.02 - - Italy, Varese Province 0 - - - - 0 - - - - Italy, Venetian Region 77 1.3 0.15 0.16 0.02 23 0.4 0.08 0.04 0.01*Latvia 6 0.1 0.03 0.01 0.01 4 0.0 0.02 0.00 0.00 Lithuania 64 0.6 0.08 0.08 0.01 9 0.1 0.02 0.01 0.00 Malta 1 0.1 0.08 0.01 0.01 0 - - - - The Netherlands 38 0.1 0.01 0.01 0.00 17 0.0 0.01 0.00 0.00 The Netherlands, Eindhoven 5 0.1 0.06 0.01 0.01 2 0.1 0.04 0.01 0.01 The Netherlands, Maastricht 6 0.2 0.08 0.02 0.01 0 - - - - Norway 11 0.1 0.02 0.01 0.00 1 0.0 0.01 0.00 0.00*Poland, Cracow 6 0.3 0.11 0.04 0.02 2 0.1 0.04 0.00 0.00*Poland, Kielce 4 0.1 0.07 0.01 0.01 3 0.1 0.03 0.00 0.00*Poland, Lower Silesia 40 0.5 0.08 0.06 0.01 4 0.0 0.02 0.00 0.00 Poland, Warsaw City 7 0.1 0.05 0.01 0.01 2 0.0 0.02 0.00 0.00*Portugal, Vila Nova de Gaia 0 - - - - 0 - - - - *Russia, St Petersburg 88 0.9 0.09 0.11 0.01 10 0.1 0.02 0.01 0.00 Slovakia 30 0.2 0.04 0.03 0.00 11 0.0 0.01 0.00 0.00 Slovenia 4 0.1 0.03 0.01 0.00 1 0.0 0.01 0.00 0.00 Spain, Albacete 5 0.4 0.20 0.05 0.02 0 - - - - Spain, Asturias 27 0.8 0.16 0.09 0.02 1 0.0 0.02 0.00 0.00*Spain, Canary Islands 53 2.4 0.33 0.28 0.04 4 0.1 0.07 0.01 0.01 Spain, Cuenca 5 0.5 0.27 0.09 0.04 0 - - - - Spain, Girona 4 0.4 0.18 0.04 0.02 0 - - - - Spain, Granada 6 0.3 0.11 0.03 0.01 1 0.0 0.01 - - Spain, Mallorca 12 0.8 0.23 0.07 0.02 1 0.1 0.07 0.01 0.01 Spain, Murcia 10 0.4 0.13 0.04 0.01 2 0.1 0.05 0.01 0.01 Spain, Navarra 8 0.5 0.17 0.06 0.02 0 - - - - Spain, Tarragona 7 0.4 0.14 0.05 0.02 1 0.0 0.04 0.01 0.01*Spain, Zaragoza 10 0.3 0.10 0.04 0.01 0 - - - - Sweden 17 0.1 0.01 0.01 0.00 7 0.0 0.01 0.00 0.00 Switzerland, Basel 0 - - - - 0 - - - - Switzerland, Geneva 1 0.1 0.07 0.01 0.01 0 - - - - Switzerland, Graubunden and Glarus 0 - - - - 0 - - - - Switzerland, Neuchatel 4 0.8 0.42 0.09 0.06 0 - - - - Switzerland, St Gall-Appenzell 9 0.5 0.17 0.05 0.02 0 - - - - *Switzerland, Ticino 3 0.7 0.38 0.09 0.06 0 - - - - Switzerland, Valais 2 0.2 0.16 0.01 0.01 2 0.1 0.11 0.02 0.02 Switzerland, Vaud 8 0.5 0.18 0.07 0.03 2 0.1 0.07 0.01 0.01 Switzerland, Zurich 0 - - - - 1 0.0 0.01 - - *UK, England 556 0.3 0.01 0.04 0.00 278 0.1 0.01 0.01 0.00 UK, England, East Anglia 9 0.1 0.04 0.02 0.01 7 0.1 0.03 0.00 0.00 UK, England, Merseyside and Cheshire 37 0.4 0.08 0.04 0.01 19 0.2 0.04 0.02 0.01 UK, England, North Western 64 0.4 0.06 0.05 0.01 25 0.1 0.03 0.01 0.00 UK, England, Oxford Region 33 0.4 0.07 0.04 0.01 19 0.2 0.04 0.02 0.01*UK, England, South Thames 68 0.3 0.04 0.03 0.00 28 0.1 0.02 0.01 0.00*UK, England, South and Western Regions 74 0.3 0.03 0.03 0.00 44 0.1 0.02 0.01 0.00 UK, England, Trent 60 0.3 0.04 0.04 0.01 34 0.2 0.03 0.02 0.00*UK, England, West Midlands Region 47 0.2 0.04 0.03 0.00 29 0.1 0.02 0.01 0.00 UK, England, Yorkshire 40 0.3 0.05 0.03 0.01 17 0.1 0.03 0.01 0.00 UK, Northern Ireland 36 0.7 0.12 0.09 0.02 20 0.3 0.08 0.04 0.01 UK, Scotland 107 0.6 0.06 0.07 0.01 50 0.2 0.03 0.03 0.00*Yugoslavia, Vojvodina 39 0.5 0.09 0.05 0.01 10 0.1 0.03 0.01 0.00

Oceania Australia, Capital Territory 2 0.4 0.28 0.03 0.03 1 0.2 0.18 0.02 0.02 Australia, New South Wales 77 0.4 0.05 0.05 0.01 29 0.1 0.02 0.01 0.00 Australia, Northern Territory 1 0.6 0.55 - - 0 - - - - Australia, Queensland 55 0.5 0.07 0.07 0.01 7 0.1 0.03 0.01 0.00 Australia, South 16 0.3 0.08 0.04 0.01 4 0.1 0.03 0.01 0.01 Australia, Tasmania 4 0.3 0.13 0.03 0.02 3 0.2 0.09 0.02 0.01 Australia, Victoria 59 0.4 0.06 0.06 0.01 17 0.1 0.02 0.01 0.00 Australia, Western 29 0.6 0.11 0.08 0.02 7 0.1 0.05 0.02 0.01 New Zealand 29 0.2 0.04 0.03 0.01 11 0.1 0.03 0.01 0.00 USA, Hawaii: White 5 0.6 0.27 0.08 0.03 1 0.1 0.11 0.02 0.02 USA, Hawaii: Chinese 0 - - - - 0 - - - - USA, Hawaii: Filipino 1 0.3 0.28 0.04 0.04 0 - - - - USA, Hawaii: Hawaiian 0 - - - - 0 - - - - USA, Hawaii: Japanese 1 0.1 0.14 0.01 0.01 0 - - - -

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsOesophagus (C15)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 34 0.9 0.16 0.13 0.03 19 0.5 0.11 0.05 0.02*France, La Reunion 122 24.3 2.22 2.94 0.30 14 2.4 0.65 0.28 0.09*The Gambia 7 1.4 0.56 - - 5 1.1 0.66 - - *Mali, Bamako 17 3.0 0.76 0.29 0.08 9 1.7 0.57 0.15 0.05*Uganda, Kyadondo County 106 13.2 1.44 1.56 0.22 91 12.2 1.35 1.65 0.21*Zimbabwe, Harare: African 223 19.3 1.50 2.08 0.21 65 8.8 1.19 1.02 0.19

America, Central and South*Argentina, Bahia Blanca 85 7.7 0.85 0.90 0.12 28 1.7 0.34 0.15 0.04*Argentina, Concordia 42 13.9 2.15 1.72 0.32 12 3.1 0.90 0.51 0.16*Brazil, Campinas 108 6.6 0.65 0.79 0.09 23 1.2 0.24 0.14 0.04*Brazil, Goiania 124 10.8 0.99 1.38 0.15 42 3.0 0.47 0.35 0.07 Colombia, Cali 100 3.9 0.39 0.47 0.06 61 1.8 0.24 0.21 0.04*Costa Rica 82 3.3 0.37 0.36 0.06 35 1.3 0.22 0.14 0.03*Cuba, Villa Clara 74 4.1 0.50 0.38 0.06 24 1.2 0.26 0.10 0.03*Ecuador, Quito 53 2.6 0.37 0.26 0.05 23 0.8 0.18 0.07 0.03*France, Martinique 79 7.6 0.87 1.07 0.13 22 1.2 0.29 0.12 0.04*USA, Puerto Rico 326 7.7 0.45 0.94 0.07 93 1.6 0.18 0.14 0.02*Uruguay, Montevideo 271 10.7 0.67 1.32 0.09 108 2.5 0.27 0.26 0.04

America, North Canada 4001 4.2 0.07 0.53 0.01 1708 1.3 0.03 0.15 0.00 Canada, Alberta 243 3.1 0.20 0.39 0.03 114 1.1 0.12 0.13 0.02 Canada, British Columbia 620 4.7 0.20 0.61 0.03 245 1.4 0.10 0.15 0.01 Canada, Manitoba 160 4.1 0.34 0.50 0.05 68 1.2 0.17 0.12 0.02 Canada, New Brunswick 95 3.8 0.41 0.47 0.06 49 1.3 0.21 0.13 0.03 Canada, Newfoundland 63 3.5 0.46 0.40 0.06 23 1.0 0.22 0.13 0.04 Canada, Northwest Territories 9 4.1 1.42 0.68 0.28 5 2.5 1.23 0.37 0.22 Canada, Nova Scotia 144 4.6 0.40 0.55 0.06 54 1.1 0.18 0.11 0.02 Canada, Ontario 1581 4.4 0.11 0.55 0.02 728 1.5 0.06 0.17 0.01 Canada, Prince Edward Island 27 5.6 1.13 0.73 0.17 12 2.1 0.70 0.22 0.09+Canada, Quebec 900 3.9 0.13 0.52 0.02 353 1.1 0.06 0.13 0.01 Canada, Saskatchewan 156 4.2 0.37 0.49 0.05 59 1.2 0.19 0.16 0.03 Canada, Yukon 11 7.2 2.24 0.89 0.35 3 2.5 1.47 0.23 0.16 USA, California, Los Angeles: Non-Hispanic White 600 4.3 0.19 0.52 0.03 257 1.2 0.09 0.15 0.01 USA, California, Los Angeles: Hispanic White 162 4.8 0.39 0.61 0.06 36 0.8 0.13 0.10 0.02 USA, California, Los Angeles: Black 190 8.3 0.61 1.06 0.09 100 3.3 0.34 0.38 0.04 USA, California, Los Angeles: Chinese 24 2.9 0.61 0.43 0.10 5 0.4 0.21 0.04 0.03 USA, California, Los Angeles: Filipino 10 1.2 0.41 0.08 0.05 1 0.1 0.12 0.02 0.02 USA, California, Los Angeles: Japanese 31 7.0 1.34 0.76 0.16 3 0.5 0.29 0.02 0.02 USA, California, Los Angeles: Korean 12 3.3 1.03 0.37 0.14 0 - - - - USA, California, San Francisco: Non-Hispanic White 380 4.9 0.27 0.66 0.04 194 1.7 0.15 0.19 0.02 USA, California, San Francisco: Hispanic White 32 3.2 0.59 0.38 0.08 10 0.6 0.22 0.05 0.03 USA, California, San Francisco: Black 70 6.2 0.76 0.79 0.11 35 2.6 0.46 0.35 0.07 USA, Connecticut: White 573 5.4 0.24 0.66 0.03 198 1.3 0.11 0.17 0.02 USA, Connecticut: Black 96 17.6 1.81 2.24 0.26 34 4.5 0.79 0.62 0.12 USA, Georgia, Atlanta: White 165 4.2 0.33 0.56 0.05 71 1.2 0.15 0.15 0.02 USA, Georgia, Atlanta: Black 151 11.9 1.01 1.63 0.16 54 3.2 0.45 0.45 0.07 USA, Iowa 493 4.9 0.23 0.62 0.03 172 1.1 0.10 0.14 0.01 USA, Louisiana, Central Region: White 31 4.5 0.84 0.52 0.11 12 1.2 0.37 0.17 0.06 USA, Louisiana, Central Region: Black 26 16.1 3.27 2.12 0.47 7 2.7 1.10 0.40 0.18 USA, Louisiana, New Orleans: White 95 4.6 0.48 0.58 0.07 40 1.1 0.19 0.14 0.03 USA, Louisiana, New Orleans: Black 86 11.5 1.25 1.57 0.19 36 3.2 0.56 0.40 0.08 USA, Michigan, Detroit: White 503 5.0 0.23 0.62 0.03 185 1.3 0.11 0.17 0.02 USA, Michigan, Detroit: Black 247 10.7 0.70 1.35 0.10 113 3.6 0.36 0.47 0.05 USA, New Jersey: White 1266 5.4 0.16 0.69 0.02 467 1.3 0.07 0.15 0.01 USA, New Jersey: Black 286 11.7 0.69 1.51 0.10 125 3.7 0.34 0.50 0.05 USA, New Mexico: Non-Hispanic White 129 3.9 0.36 0.48 0.05 44 1.1 0.17 0.14 0.03 USA, New Mexico: Hispanic White 51 3.5 0.49 0.45 0.08 11 0.6 0.19 0.09 0.03 USA, New Mexico: American Indian 6 2.6 1.12 0.31 0.16 0 - - - - USA, New York State: White 2512 5.1 0.11 0.64 0.02 1096 1.4 0.05 0.17 0.01 USA, New York State: Black 686 10.3 0.40 1.33 0.06 351 3.4 0.19 0.42 0.03 USA, Utah 135 2.9 0.25 0.36 0.04 38 0.6 0.10 0.06 0.01 USA, Washington, Seattle 566 5.0 0.22 0.66 0.03 206 1.3 0.10 0.17 0.02 USA, SEER: White 3025 4.7 0.09 0.60 0.01 1125 1.2 0.04 0.15 0.01 USA, SEER: Black 593 10.7 0.45 1.37 0.06 252 3.5 0.23 0.46 0.03

Asia*China, Beijing 906 10.2 0.35 1.25 0.05 375 4.0 0.21 0.51 0.03

+*China, Changle 367 30.1 1.60 3.73 0.23 127 8.9 0.82 1.15 0.12*China, Cixian 2047 183.8 4.32 22.79 0.58 1536 123.1 3.22 15.49 0.45*China, Hong Kong 2145 11.7 0.26 1.49 0.04 553 2.5 0.11 0.29 0.02*China, Jiashan 225 20.7 1.43 2.60 0.21 66 5.3 0.67 0.74 0.11

+*China, Qidong County 397 13.2 0.67 1.57 0.10 164 3.9 0.32 0.46 0.05+*China, Shanghai 2355 8.2 0.17 1.04 0.03 1189 4.2 0.13 0.53 0.02

*China, Taiwan 932 7.9 0.27 0.97 0.04 91 0.8 0.08 0.09 0.01*China, Tianjin 1243 11.0 0.32 1.32 0.05 525 4.1 0.18 0.49 0.03+China, Wuhan 1293 13.3 0.38 1.70 0.06 535 4.9 0.21 0.61 0.03

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rates and standard errorsOesophagus (C15) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 467 8.0 0.39 1.04 0.06 227 4.1 0.28 0.51 0.04*India, Bangalore 630 8.2 0.34 1.03 0.05 480 7.1 0.33 0.94 0.05 India, Chennai (Madras) 658 8.7 0.34 1.09 0.05 451 6.1 0.29 0.75 0.04*India, Delhi 713 6.1 0.24 0.78 0.04 428 4.3 0.21 0.51 0.03*India, Karunagappally 51 6.2 0.88 0.96 0.16 23 2.5 0.52 0.36 0.09 India, Mumbai (Bombay) 1363 8.4 0.24 1.02 0.04 941 6.6 0.22 0.78 0.03*India, Nagpur 200 11.4 0.82 1.34 0.11 142 8.7 0.75 1.10 0.11*India, Poona 316 8.2 0.48 0.98 0.07 247 6.5 0.42 0.80 0.06*India, Trivandrum 70 3.1 0.38 0.41 0.06 20 0.8 0.19 0.11 0.03 Israel: Jews 344 2.5 0.14 0.28 0.02 210 1.1 0.08 0.11 0.01 Israel: Jews born in Israel 44 2.7 0.46 0.31 0.07 14 0.7 0.22 0.08 0.03 Israel: Jews born in Europe or America 229 2.8 0.22 0.33 0.03 133 1.0 0.11 0.10 0.01 Israel: Jews born in Africa or Asia 71 1.8 0.22 0.20 0.03 63 1.4 0.19 0.14 0.02 Israel: Non-Jews 8 0.7 0.24 0.09 0.04 2 0.1 0.10 0.03 0.02 Japan, Hiroshima 414 11.7 0.58 1.50 0.09 84 1.7 0.19 0.18 0.03*Japan, Miyagi Prefecture 1314 14.4 0.40 1.89 0.06 284 2.2 0.14 0.26 0.02*Japan, Nagasaki Prefecture 614 9.6 0.40 1.22 0.06 116 1.1 0.12 0.12 0.02*Japan, Osaka Prefecture 3235 10.0 0.18 1.25 0.03 685 1.6 0.06 0.18 0.01*Japan, Saga Prefecture 307 8.2 0.48 1.04 0.07 49 0.9 0.14 0.11 0.02*Japan, Yamagata Prefecture 752 12.3 0.46 1.59 0.07 104 1.1 0.13 0.12 0.02*Korea, Busan 257 10.0 0.67 1.34 0.10 45 1.2 0.18 0.14 0.03*Korea, Daegu 124 7.3 0.69 0.84 0.09 18 0.8 0.18 0.10 0.03*Korea, Kangwha County 19 7.4 1.73 0.89 0.25 4 1.1 0.58 0.10 0.07*Korea, Seoul 1184 7.6 0.23 1.03 0.04 178 0.8 0.06 0.09 0.01*Kuwait: Kuwaitis 10 1.7 0.53 0.07 0.04 11 2.0 0.61 0.23 0.09*Kuwait: Non-Kuwaitis 9 3.5 1.66 0.16 0.12 4 1.3 0.72 0.08 0.05*Oman: Omani 58 3.1 0.41 0.41 0.06 35 1.9 0.34 0.24 0.05*Pakistan, South Karachi 94 6.5 0.71 0.81 0.10 72 6.9 0.88 0.91 0.13*Philippines, Manila 150 2.9 0.25 0.36 0.04 83 1.3 0.15 0.17 0.02*Philippines, Rizal 122 2.4 0.23 0.30 0.04 64 1.0 0.13 0.12 0.02 Singapore: Chinese 357 7.0 0.38 0.85 0.06 103 1.4 0.15 0.16 0.02 Singapore: Indian 20 3.2 0.75 0.34 0.09 7 1.9 0.74 0.34 0.14 Singapore: Malay 9 1.2 0.40 0.13 0.06 6 0.9 0.37 0.05 0.03*Thailand, Bangkok 267 4.4 0.27 0.50 0.04 73 1.0 0.12 0.11 0.02*Thailand, Chiang Mai 71 2.1 0.25 0.26 0.04 37 1.0 0.17 0.12 0.02*Thailand, Khon Kaen 48 1.6 0.23 0.21 0.04 17 0.5 0.12 0.07 0.02*Thailand, Lampang 37 1.9 0.32 0.23 0.05 22 1.1 0.24 0.17 0.04*Thailand, Songkhla 110 6.1 0.58 0.75 0.09 48 2.5 0.36 0.36 0.06*Viet Nam, Hanoi 118 2.9 0.27 - - 33 0.6 0.11 - - *Viet Nam, Ho Chi Minh City 237 4.4 0.29 0.53 0.04 53 0.6 0.09 0.06 0.01

Europe Austria, Tyrol 89 4.3 0.47 0.50 0.06 22 0.6 0.15 0.07 0.02 Austria, Vorarlberg 56 5.5 0.74 0.65 0.10 6 0.4 0.18 0.05 0.03

+*Belarus 1638 5.8 0.15 0.72 0.02 234 0.4 0.03 0.05 0.00*Belgium, Flanders, (excl. Limburg) 513 6.3 0.29 0.76 0.04 133 1.2 0.12 0.14 0.02*Belgium, Limburg 70 6.2 0.75 0.76 0.10 16 1.1 0.30 0.14 0.04*Croatia 982 6.4 0.21 0.80 0.03 208 0.9 0.07 0.12 0.01 Czech Republic 1684 5.1 0.12 0.58 0.02 301 0.6 0.04 0.06 0.00 Denmark 1170 5.8 0.18 0.74 0.03 476 1.7 0.09 0.21 0.01 Estonia 261 6.0 0.38 0.75 0.05 55 0.6 0.09 0.06 0.01 Finland 567 3.2 0.13 0.37 0.02 452 1.4 0.07 0.15 0.01 France, Bas-Rhin 407 13.6 0.68 1.67 0.09 51 1.1 0.17 0.15 0.03*France, Calvados 346 17.2 0.95 2.15 0.13 49 1.8 0.29 0.17 0.03 France, Cote d’Or 192 11.4 0.85 1.42 0.11 33 1.2 0.23 0.16 0.04 France, Doubs 148 9.5 0.80 1.25 0.11 22 1.1 0.25 0.15 0.04 France, Haut-Rhin 277 12.6 0.76 1.56 0.10 39 1.2 0.20 0.13 0.03*France, Herault 203 6.3 0.47 0.76 0.06 67 1.4 0.20 0.16 0.03 France, Isere 263 7.8 0.49 0.97 0.07 61 1.4 0.19 0.17 0.03*France, Manche 275 18.7 1.18 2.30 0.16 21 1.1 0.30 0.12 0.03*France, Somme 320 17.9 1.03 2.11 0.13 40 1.8 0.32 0.19 0.04 France, Tarn 81 5.1 0.61 0.60 0.08 17 0.9 0.26 0.11 0.03 Germany, Saarland 308 7.4 0.43 0.90 0.06 75 1.3 0.17 0.15 0.02 Iceland 53 5.2 0.74 0.48 0.11 24 2.0 0.44 0.26 0.07 Ireland 723 8.0 0.30 0.97 0.04 473 3.8 0.19 0.41 0.03 Italy, Biella Province 37 6.1 1.04 0.78 0.16 6 0.9 0.42 0.12 0.05 Italy, Ferrara Province 68 3.9 0.49 0.51 0.07 20 0.7 0.19 0.07 0.02*Italy, Florence 128 2.2 0.21 0.24 0.03 73 0.7 0.11 0.07 0.01 Italy, Genoa Province 142 3.9 0.35 0.46 0.05 48 0.7 0.11 0.07 0.02 Italy, Liguria Italy, Macerata Province 30 2.0 0.38 0.27 0.06 5 0.2 0.11 0.02 0.01 Italy, Modena Province 52 1.8 0.27 0.21 0.04 24 0.5 0.13 0.07 0.02 Italy, North East 513 9.9 0.45 1.21 0.06 120 1.5 0.16 0.18 0.02

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rates and standard errorsOesophagus (C15) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 74 4.0 0.49 0.52 0.07 28 1.0 0.22 0.11 0.03*Italy, Ragusa Province 29 2.3 0.46 0.25 0.06 4 0.2 0.10 0.03 0.02 Italy, Romagna 89 1.9 0.21 0.22 0.03 31 0.5 0.11 0.06 0.01 Italy, Sassari 55 3.2 0.45 0.43 0.06 10 0.4 0.14 0.02 0.01 Italy, Torino 150 3.6 0.30 0.45 0.04 55 0.8 0.13 0.09 0.02 Italy, Umbria 84 3.4 0.39 0.42 0.05 17 0.5 0.14 0.06 0.02 Italy, Varese Province 173 5.4 0.42 0.67 0.06 38 0.7 0.14 0.09 0.02 Italy, Venetian Region 474 8.0 0.38 1.03 0.05 110 1.2 0.13 0.15 0.02*Latvia 415 5.6 0.28 0.69 0.04 72 0.5 0.06 0.06 0.01 Lithuania 629 6.0 0.24 0.74 0.03 112 0.6 0.06 0.07 0.01 Malta 42 3.6 0.56 0.48 0.09 21 1.2 0.28 0.10 0.03 The Netherlands 3297 6.2 0.11 0.76 0.02 1640 2.2 0.06 0.25 0.01 The Netherlands, Eindhoven 130 4.1 0.36 0.53 0.05 71 1.7 0.22 0.18 0.03 The Netherlands, Maastricht 176 5.6 0.42 0.73 0.06 45 1.1 0.17 0.13 0.02 Norway 549 3.3 0.15 0.43 0.02 213 0.8 0.07 0.11 0.01*Poland, Cracow 104 4.7 0.46 0.56 0.06 34 0.9 0.17 0.11 0.02*Poland, Kielce 104 3.8 0.38 0.44 0.05 28 0.6 0.12 0.06 0.02*Poland, Lower Silesia 403 5.0 0.25 0.59 0.03 106 0.9 0.09 0.10 0.01 Poland, Warsaw City 264 4.7 0.29 0.55 0.04 107 1.1 0.11 0.11 0.02*Portugal, Vila Nova de Gaia 42 5.5 0.85 0.65 0.12 14 1.2 0.33 0.12 0.05*Russia, St Petersburg 945 8.8 0.29 1.07 0.04 473 1.9 0.09 0.20 0.01 Slovakia 1154 8.1 0.24 0.96 0.03 121 0.6 0.05 0.06 0.01 Slovenia 385 6.2 0.32 0.79 0.04 64 0.6 0.08 0.07 0.01 Spain, Albacete 50 4.1 0.62 0.50 0.08 5 0.4 0.21 0.03 0.02 Spain, Asturias 253 7.5 0.49 0.91 0.06 28 0.4 0.10 0.05 0.01*Spain, Canary Islands 182 8.0 0.60 0.96 0.08 28 0.9 0.18 0.11 0.03 Spain, Cuenca 29 3.0 0.66 0.33 0.08 5 0.5 0.28 0.03 0.03 Spain, Girona 72 5.9 0.73 0.67 0.09 12 0.7 0.23 0.06 0.03 Spain, Granada 100 3.8 0.40 0.43 0.05 22 0.6 0.14 0.07 0.02 Spain, Mallorca 108 6.4 0.64 0.81 0.09 16 0.8 0.22 0.10 0.03 Spain, Murcia 119 4.5 0.43 0.52 0.05 17 0.4 0.11 0.03 0.01 Spain, Navarra 127 6.5 0.60 0.82 0.08 19 0.6 0.16 0.04 0.02 Spain, Tarragona 114 5.6 0.54 0.67 0.07 12 0.5 0.14 0.06 0.02*Spain, Zaragoza 164 5.2 0.43 0.61 0.05 23 0.4 0.10 0.05 0.01 Sweden 1187 3.1 0.09 0.39 0.01 521 0.9 0.05 0.11 0.01 Switzerland, Basel 74 4.3 0.51 0.52 0.07 41 1.6 0.28 0.21 0.04 Switzerland, Geneva 98 6.4 0.67 0.79 0.09 52 2.8 0.42 0.32 0.06 Switzerland, Graubunden and Glarus 50 6.2 0.90 0.76 0.13 18 1.6 0.41 0.19 0.06 Switzerland, Neuchatel 41 9.3 1.48 1.14 0.19 21 3.0 0.74 0.33 0.09 Switzerland, St Gall-Appenzell 81 4.6 0.53 0.59 0.08 15 0.6 0.17 0.06 0.02*Switzerland, Ticino 41 8.4 1.35 1.00 0.19 7 0.8 0.36 0.12 0.06 Switzerland, Valais 77 8.6 0.99 0.95 0.13 19 1.7 0.42 0.16 0.05 Switzerland, Vaud 159 9.1 0.75 1.07 0.10 46 1.8 0.30 0.21 0.04 Switzerland, Zurich 139 4.0 0.35 0.49 0.05 56 1.2 0.18 0.15 0.02*UK, England 16669 8.4 0.07 1.02 0.01 11059 3.5 0.04 0.40 0.01 UK, England, East Anglia 752 7.7 0.30 0.91 0.04 463 3.3 0.18 0.37 0.03 UK, England, Merseyside and Cheshire 920 9.8 0.33 1.17 0.05 654 4.5 0.20 0.55 0.03 UK, England, North Western 1451 9.4 0.26 1.12 0.04 1033 4.3 0.16 0.50 0.02 UK, England, Oxford Region 787 8.1 0.30 0.99 0.04 471 3.2 0.17 0.34 0.02*UK, England, South Thames 2338 8.4 0.18 1.00 0.03 1511 3.4 0.11 0.39 0.02*UK, England, South and Western Regions 2472 8.5 0.18 1.03 0.03 1765 3.7 0.11 0.40 0.02 UK, England, Trent 1769 8.9 0.22 1.10 0.03 1081 3.6 0.13 0.42 0.02*UK, England, West Midlands Region 1842 8.5 0.20 0.99 0.03 1203 3.7 0.12 0.41 0.02 UK, England, Yorkshire 1153 7.6 0.23 0.89 0.03 746 3.2 0.14 0.38 0.02 UK, Northern Ireland 512 9.8 0.45 1.18 0.06 323 3.8 0.24 0.44 0.04 UK, Scotland 2235 11.6 0.25 1.42 0.04 1708 5.5 0.15 0.65 0.02*Yugoslavia, Vojvodina 332 4.4 0.24 0.56 0.03 63 0.7 0.09 0.08 0.01

Oceania Australia, Capital Territory 36 5.2 0.88 0.68 0.14 20 2.3 0.53 0.30 0.09 Australia, New South Wales 932 4.5 0.15 0.54 0.02 568 1.9 0.09 0.23 0.01 Australia, Northern Territory 15 5.8 1.57 0.96 0.29 5 1.9 0.93 0.32 0.18 Australia, Queensland 569 5.3 0.23 0.64 0.03 283 2.1 0.13 0.24 0.02 Australia, South 266 4.8 0.31 0.56 0.04 142 1.8 0.17 0.21 0.03 Australia, Tasmania 115 6.9 0.67 0.87 0.10 68 3.1 0.42 0.34 0.06 Australia, Victoria 836 5.4 0.19 0.67 0.03 529 2.5 0.12 0.29 0.02 Australia, Western 278 5.3 0.32 0.63 0.05 142 2.0 0.18 0.21 0.03 New Zealand 671 5.7 0.22 0.72 0.03 359 2.1 0.13 0.22 0.02 USA, Hawaii: White 41 4.1 0.66 0.54 0.10 16 1.4 0.38 0.16 0.05 USA, Hawaii: Chinese 9 3.5 1.29 0.43 0.17 3 1.0 0.62 0.20 0.12 USA, Hawaii: Filipino 13 1.7 0.49 0.23 0.09 4 0.6 0.32 0.03 0.03 USA, Hawaii: Hawaiian 27 6.0 1.18 0.98 0.20 7 1.5 0.58 0.20 0.09 USA, Hawaii: Japanese 74 5.4 0.70 0.71 0.10 8 0.4 0.17 0.03 0.02

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rates and standard errorsStomach (C16)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 211 5.6 0.40 0.68 0.06 155 3.7 0.31 0.43 0.04*France, La Reunion 103 21.0 2.09 2.78 0.32 41 6.2 1.00 0.78 0.16*The Gambia 11 2.5 0.78 - - 8 2.1 0.77 - - *Mali, Bamako 91 17.7 1.98 2.26 0.30 94 20.8 2.25 2.32 0.29*Uganda, Kyadondo County 57 7.0 1.06 0.83 0.17 47 5.5 0.87 0.65 0.11*Zimbabwe, Harare: African 129 12.0 1.24 1.45 0.19 81 10.4 1.32 1.51 0.24

America, Central and South*Argentina, Bahia Blanca 174 16.1 1.23 1.81 0.17 108 7.3 0.73 0.92 0.11*Argentina, Concordia 63 20.1 2.55 1.95 0.32 30 7.0 1.34 0.64 0.17*Brazil, Campinas 328 21.2 1.18 2.50 0.17 212 10.3 0.72 1.15 0.10*Brazil, Goiania 244 21.7 1.43 2.70 0.22 141 9.4 0.81 1.15 0.12 Colombia, Cali 842 30.5 1.08 3.47 0.16 650 18.8 0.77 2.17 0.12*Costa Rica 992 40.1 1.30 4.76 0.20 580 20.8 0.90 2.14 0.12*Cuba, Villa Clara 132 7.8 0.70 0.81 0.09 62 3.7 0.48 0.39 0.06*Ecuador, Quito 521 26.5 1.20 3.16 0.18 463 17.6 0.85 1.87 0.12*France, Martinique 229 19.5 1.34 2.39 0.20 155 9.8 0.86 1.02 0.12*USA, Puerto Rico 584 13.3 0.58 1.43 0.08 302 5.8 0.35 0.63 0.05*Uruguay, Montevideo 519 19.2 0.87 2.23 0.12 351 7.6 0.45 0.82 0.06

America, North Canada 9088 9.1 0.10 1.05 0.01 5269 4.0 0.06 0.44 0.01 Canada, Alberta 646 8.1 0.32 0.97 0.05 365 3.6 0.20 0.39 0.03 Canada, British Columbia 1095 8.0 0.25 0.91 0.04 614 3.5 0.16 0.39 0.02 Canada, Manitoba 384 9.1 0.50 1.00 0.07 221 3.7 0.29 0.42 0.04 Canada, New Brunswick 282 10.6 0.66 1.17 0.09 142 4.2 0.39 0.51 0.06 Canada, Newfoundland 292 16.4 0.99 2.02 0.15 163 7.7 0.65 0.95 0.10 Canada, Northwest Territories 41 16.3 2.66 1.96 0.41 12 4.1 1.29 0.36 0.19 Canada, Nova Scotia 333 10.0 0.57 1.12 0.08 172 4.0 0.34 0.48 0.05 Canada, Ontario 3198 8.7 0.16 1.02 0.02 1839 3.8 0.10 0.42 0.01 Canada, Prince Edward Island 43 9.5 1.52 1.15 0.21 25 4.3 0.98 0.45 0.13+Canada, Quebec 2488 10.4 0.21 1.16 0.03 1529 4.5 0.13 0.48 0.02 Canada, Saskatchewan 313 7.6 0.47 0.88 0.07 194 3.8 0.32 0.42 0.04 Canada, Yukon 8 4.6 1.75 0.77 0.34 4 2.8 1.51 0.48 0.29 USA, California, Los Angeles: Non-Hispanic White 1120 7.3 0.23 0.83 0.03 669 3.1 0.15 0.35 0.02 USA, California, Los Angeles: Hispanic White 517 14.4 0.67 1.69 0.11 399 7.5 0.39 0.75 0.06 USA, California, Los Angeles: Black 270 11.1 0.69 1.29 0.10 221 5.7 0.41 0.65 0.06 USA, California, Los Angeles: Chinese 127 14.5 1.35 1.32 0.17 96 9.7 1.03 0.96 0.13 USA, California, Los Angeles: Filipino 49 7.4 1.11 0.92 0.18 32 3.7 0.68 0.40 0.09 USA, California, Los Angeles: Japanese 115 21.8 2.17 2.02 0.25 75 11.9 1.50 1.07 0.17 USA, California, Los Angeles: Korean 174 43.4 3.51 4.91 0.47 106 18.2 1.83 1.67 0.22 USA, California, San Francisco: Non-Hispanic White 572 6.8 0.31 0.79 0.04 323 2.4 0.16 0.26 0.02 USA, California, San Francisco: Hispanic White 120 11.4 1.06 1.20 0.15 72 5.1 0.64 0.55 0.09 USA, California, San Francisco: Black 161 13.1 1.06 1.61 0.16 98 5.7 0.62 0.57 0.08 USA, Connecticut: White 912 7.9 0.28 0.93 0.04 607 3.4 0.17 0.38 0.02 USA, Connecticut: Black 89 16.4 1.76 1.92 0.25 56 6.4 0.89 0.79 0.14 USA, Georgia, Atlanta: White 231 5.5 0.37 0.65 0.06 124 2.0 0.20 0.22 0.03 USA, Georgia, Atlanta: Black 156 12.4 1.04 1.47 0.16 88 4.2 0.48 0.54 0.08 USA, Iowa 646 6.0 0.25 0.70 0.04 326 2.1 0.14 0.22 0.02 USA, Louisiana, Central Region: White 42 5.9 0.95 0.64 0.12 29 2.4 0.51 0.24 0.07 USA, Louisiana, Central Region: Black 20 11.1 2.65 1.54 0.42 19 5.9 1.55 0.68 0.23 USA, Louisiana, New Orleans: White 152 6.9 0.58 0.80 0.08 88 2.5 0.30 0.27 0.04 USA, Louisiana, New Orleans: Black 129 16.4 1.47 1.98 0.22 85 6.4 0.73 0.71 0.11 USA, Michigan, Detroit: White 788 7.3 0.27 0.81 0.04 476 2.9 0.15 0.31 0.02 USA, Michigan, Detroit: Black 330 13.2 0.75 1.64 0.11 221 5.8 0.42 0.57 0.05 USA, New Jersey: White 2124 8.6 0.20 0.99 0.03 1410 3.7 0.12 0.39 0.02 USA, New Jersey: Black 324 12.9 0.72 1.53 0.11 247 6.3 0.42 0.67 0.06 USA, New Mexico: Non-Hispanic White 153 4.4 0.37 0.56 0.06 97 2.3 0.25 0.25 0.03 USA, New Mexico: Hispanic White 170 11.3 0.88 1.28 0.13 99 4.8 0.51 0.45 0.07 USA, New Mexico: American Indian 25 9.9 2.04 1.29 0.35 21 6.3 1.46 0.73 0.21 USA, New York State: White 4547 8.6 0.13 0.98 0.02 3157 3.8 0.08 0.40 0.01 USA, New York State: Black 900 13.2 0.45 1.55 0.07 763 6.6 0.25 0.74 0.04 USA, Utah 233 4.6 0.32 0.53 0.04 137 2.2 0.21 0.26 0.03 USA, Washington, Seattle 793 6.6 0.25 0.77 0.04 418 2.6 0.14 0.28 0.02 USA, SEER: White 4546 6.6 0.10 0.76 0.01 2618 2.6 0.06 0.28 0.01 USA, SEER: Black 792 13.4 0.49 1.63 0.07 482 5.3 0.26 0.56 0.04

Asia*China, Beijing 1719 19.8 0.49 2.47 0.07 768 8.7 0.33 1.00 0.04

+*China, Changle 1808 145.0 3.45 19.64 0.52 460 34.5 1.66 4.55 0.23*China, Cixian 854 78.1 2.87 9.73 0.38 409 31.9 1.61 3.98 0.23*China, Hong Kong 3018 16.1 0.30 1.88 0.04 1824 8.3 0.20 0.89 0.03*China, Jiashan 437 38.9 1.89 5.36 0.29 189 15.7 1.16 1.92 0.16

+*China, Qidong County 1142 37.8 1.13 4.65 0.16 711 19.0 0.74 2.19 0.10+*China, Shanghai 8887 32.3 0.36 4.03 0.05 4756 17.6 0.27 2.05 0.04

*China, Taiwan 2337 18.6 0.40 2.22 0.06 1256 10.9 0.31 1.20 0.04*China, Tianjin 3081 26.9 0.49 3.48 0.08 1280 10.0 0.28 1.19 0.04+China, Wuhan 2993 29.8 0.56 3.83 0.08 1637 14.5 0.37 1.75 0.05

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rates and standard errorsStomach (C16) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 131 2.1 0.19 0.26 0.03 82 1.3 0.16 0.15 0.02*India, Bangalore 673 8.6 0.34 1.05 0.05 335 4.6 0.26 0.58 0.04 India, Chennai (Madras) 1039 13.6 0.43 1.70 0.06 506 6.7 0.30 0.79 0.04*India, Delhi 485 3.9 0.19 0.49 0.03 257 2.4 0.16 0.30 0.02*India, Karunagappally 42 4.8 0.76 0.65 0.12 15 1.6 0.43 0.27 0.08 India, Mumbai (Bombay) 1063 6.3 0.21 0.80 0.03 511 3.4 0.16 0.40 0.02*India, Nagpur 90 4.8 0.52 0.50 0.06 62 3.8 0.49 0.45 0.07*India, Poona 257 6.5 0.42 0.78 0.06 113 3.0 0.29 0.32 0.04*India, Trivandrum 81 3.6 0.41 0.47 0.06 40 1.6 0.25 0.20 0.04 Israel: Jews 1666 11.9 0.31 1.35 0.04 1153 6.6 0.21 0.73 0.03 Israel: Jews born in Israel 145 8.3 0.82 0.88 0.11 99 4.1 0.50 0.39 0.06 Israel: Jews born in Europe or America 1181 15.3 0.53 1.75 0.07 800 7.9 0.36 0.88 0.04 Israel: Jews born in Africa or Asia 340 8.7 0.49 1.02 0.07 254 6.1 0.50 0.66 0.05 Israel: Non-Jews 85 6.7 0.77 0.91 0.14 54 3.7 0.52 0.45 0.08 Japan, Hiroshima 3035 85.5 1.57 10.50 0.23 1541 33.9 0.91 3.85 0.12*Japan, Miyagi Prefecture 6247 69.0 0.89 8.42 0.13 3091 27.1 0.53 2.98 0.07*Japan, Nagasaki Prefecture 4355 65.4 1.03 7.89 0.14 2311 25.6 0.60 2.86 0.08*Japan, Osaka Prefecture 18942 59.9 0.44 7.04 0.06 9610 23.8 0.26 2.62 0.03*Japan, Saga Prefecture 2424 63.6 1.34 7.78 0.19 1326 24.9 0.78 2.83 0.10*Japan, Yamagata Prefecture 5409 91.6 1.30 11.10 0.18 3055 38.9 0.81 4.48 0.10*Korea, Busan 2037 72.5 1.77 8.99 0.26 1203 30.4 0.89 3.56 0.13*Korea, Daegu 1325 70.8 2.07 8.64 0.30 762 30.0 1.10 3.51 0.16*Korea, Kangwha County 172 66.5 5.17 8.07 0.73 65 19.5 2.60 2.31 0.35*Korea, Seoul 12008 68.0 0.68 8.55 0.10 6971 28.5 0.35 3.44 0.05*Kuwait: Kuwaitis 34 5.6 1.01 0.58 0.15 17 2.2 0.57 0.23 0.08*Kuwait: Non-Kuwaitis 34 4.6 1.42 0.51 0.21 21 5.6 1.57 0.82 0.31*Oman: Omani 248 13.4 0.86 1.75 0.13 122 7.1 0.65 0.92 0.10*Pakistan, South Karachi 61 3.9 0.54 0.46 0.08 35 3.0 0.55 0.32 0.07*Philippines, Manila 558 10.3 0.47 1.18 0.07 401 5.8 0.30 0.66 0.04*Philippines, Rizal 436 8.2 0.43 0.95 0.06 325 4.8 0.28 0.52 0.04 Singapore: Chinese 1306 25.6 0.72 2.94 0.11 842 12.4 0.44 1.37 0.06 Singapore: Indian 57 9.0 1.23 0.81 0.13 23 6.0 1.36 0.65 0.18 Singapore: Malay 52 6.6 0.93 0.83 0.14 32 4.0 0.73 0.51 0.11*Thailand, Bangkok 305 4.9 0.29 0.57 0.04 304 3.7 0.22 0.38 0.03*Thailand, Chiang Mai 237 6.8 0.44 0.84 0.06 167 4.6 0.36 0.55 0.05*Thailand, Khon Kaen 102 3.2 0.32 0.39 0.05 70 1.9 0.23 0.24 0.04*Thailand, Lampang 121 6.1 0.56 0.74 0.08 87 4.1 0.44 0.51 0.06*Thailand, Songkhla 35 1.9 0.32 0.23 0.05 29 1.4 0.27 0.17 0.04*Viet Nam, Hanoi 1136 27.0 0.81 - - 669 13.2 0.52 - - *Viet Nam, Ho Chi Minh City 1057 18.7 0.59 2.37 0.09 687 8.1 0.32 0.98 0.05

Europe Austria, Tyrol 490 22.3 1.03 2.58 0.15 387 10.7 0.62 1.09 0.08 Austria, Vorarlberg 177 17.1 1.30 2.02 0.19 153 9.1 0.82 0.96 0.11

+*Belarus 11490 40.5 0.38 5.10 0.05 8198 17.4 0.21 2.19 0.03*Belgium, Flanders, (excl. Limburg) 767 8.2 0.31 0.90 0.04 560 3.9 0.19 0.38 0.03*Belgium, Limburg 133 11.4 1.00 1.31 0.14 99 6.1 0.66 0.64 0.09*Croatia 3767 24.4 0.40 3.12 0.06 2403 10.3 0.22 1.26 0.03 Czech Republic 6032 17.3 0.23 1.97 0.03 4711 8.7 0.14 0.93 0.02 Denmark 1755 8.2 0.21 0.97 0.03 1052 3.6 0.13 0.40 0.02 Estonia 1395 31.9 0.86 3.99 0.13 1127 14.8 0.48 1.79 0.06 Finland 2342 12.6 0.27 1.39 0.04 2046 7.0 0.17 0.77 0.02 France, Bas-Rhin 412 13.0 0.65 1.57 0.09 223 4.4 0.33 0.47 0.04*France, Calvados 272 12.2 0.76 1.45 0.11 177 5.1 0.44 0.54 0.06 France, Cote d’Or 188 9.3 0.72 1.09 0.10 100 3.2 0.37 0.35 0.05 France, Doubs 166 9.5 0.76 1.03 0.10 100 3.7 0.42 0.35 0.06 France, Haut-Rhin 345 14.8 0.80 1.68 0.11 188 5.2 0.42 0.56 0.06*France, Herault 315 8.3 0.50 0.96 0.07 189 3.4 0.30 0.34 0.04 France, Isere 387 10.6 0.55 1.24 0.08 268 4.8 0.33 0.51 0.05*France, Manche 247 14.8 0.99 1.61 0.13 163 5.8 0.54 0.56 0.07*France, Somme 211 9.8 0.70 1.14 0.10 127 4.2 0.43 0.48 0.06 France, Tarn 120 6.7 0.67 0.72 0.09 67 2.4 0.37 0.24 0.05 Germany, Saarland 660 14.7 0.58 1.64 0.08 611 8.4 0.39 0.88 0.05 Iceland 139 15.6 1.39 1.66 0.19 72 6.5 0.83 0.79 0.13 Ireland 1194 12.8 0.38 1.49 0.05 706 5.9 0.24 0.70 0.04 Italy, Biella Province 96 15.9 1.70 1.82 0.24 79 8.1 1.12 0.88 0.15 Italy, Ferrara Province 419 20.9 1.09 2.46 0.15 230 7.9 0.62 0.87 0.08*Italy, Florence 1765 28.4 0.72 3.21 0.10 1310 13.6 0.45 1.36 0.06 Italy, Genoa Province 640 15.9 0.66 1.68 0.09 481 7.6 0.42 0.74 0.05 Italy, Liguria Italy, Macerata Province 416 26.7 1.42 3.03 0.19 299 14.6 1.01 1.58 0.13 Italy, Modena Province 662 20.6 0.84 2.24 0.12 449 9.5 0.53 0.95 0.07 Italy, North East 1170 19.8 0.60 2.31 0.09 1013 10.9 0.41 1.20 0.06

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rates and standard errorsStomach (C16) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 588 26.7 1.19 2.98 0.16 466 13.5 0.77 1.47 0.10*Italy, Ragusa Province 149 11.9 1.03 1.39 0.14 79 5.5 0.68 0.63 0.09 Italy, Romagna 1681 32.3 0.84 3.74 0.12 1253 17.8 0.58 1.99 0.08 Italy, Sassari 202 10.9 0.80 1.16 0.11 138 5.3 0.50 0.51 0.07 Italy, Torino 699 16.0 0.63 1.80 0.08 469 7.0 0.37 0.77 0.05 Italy, Umbria 719 27.3 1.10 3.23 0.15 478 12.8 0.69 1.40 0.09 Italy, Varese Province 782 23.6 0.86 2.65 0.12 623 11.2 0.52 1.18 0.07 Italy, Venetian Region 1080 16.5 0.52 1.83 0.07 868 8.1 0.32 0.80 0.04*Latvia 2103 28.2 0.62 3.55 0.09 1685 13.0 0.34 1.56 0.05 Lithuania 3144 29.7 0.53 3.62 0.08 2196 12.6 0.29 1.48 0.04 Malta 153 12.4 1.02 1.42 0.15 83 5.1 0.58 0.61 0.09 The Netherlands 7324 13.1 0.16 1.54 0.02 4165 5.2 0.09 0.57 0.01 The Netherlands, Eindhoven 496 15.3 0.70 1.88 0.10 283 6.0 0.38 0.60 0.05 The Netherlands, Maastricht 403 12.0 0.61 1.39 0.09 301 6.6 0.41 0.75 0.06 Norway 2188 11.6 0.27 1.36 0.04 1454 5.5 0.17 0.61 0.02*Poland, Cracow 473 21.0 0.97 2.55 0.14 265 7.4 0.47 0.87 0.07*Poland, Kielce 626 21.6 0.88 2.67 0.13 363 8.6 0.49 1.02 0.07*Poland, Lower Silesia 1872 22.9 0.54 2.74 0.07 1017 8.4 0.28 0.95 0.04 Poland, Warsaw City 982 16.9 0.55 2.01 0.08 599 6.6 0.29 0.74 0.04*Portugal, Vila Nova de Gaia 252 33.3 2.14 3.66 0.29 216 19.9 1.42 2.29 0.21*Russia, St Petersburg 4101 38.3 0.61 4.74 0.09 4008 17.9 0.31 2.03 0.04 Slovakia 3307 21.4 0.38 2.61 0.05 2053 9.0 0.21 1.01 0.03 Slovenia 1487 23.8 0.62 2.77 0.09 1006 10.4 0.35 1.15 0.05 Spain, Albacete 210 14.8 1.09 1.69 0.14 118 6.7 0.70 0.73 0.09 Spain, Asturias 717 18.0 0.71 2.14 0.10 463 8.0 0.44 0.87 0.06*Spain, Canary Islands 292 12.2 0.73 1.39 0.10 147 4.8 0.41 0.60 0.06 Spain, Cuenca 221 20.3 1.56 2.30 0.20 131 9.1 1.02 0.84 0.12 Spain, Girona 202 14.2 1.06 1.69 0.15 114 5.9 0.64 0.58 0.08 Spain, Granada 376 12.7 0.69 1.56 0.10 221 5.2 0.38 0.58 0.05 Spain, Mallorca 247 13.0 0.87 1.56 0.12 120 5.0 0.51 0.58 0.07 Spain, Murcia 372 12.7 0.68 1.52 0.10 252 6.4 0.45 0.66 0.06 Spain, Navarra 478 21.6 1.04 2.36 0.13 261 8.5 0.62 0.87 0.08 Spain, Tarragona 356 14.1 0.80 1.62 0.11 187 5.3 0.45 0.54 0.06*Spain, Zaragoza 625 16.7 0.72 1.95 0.10 406 7.4 0.46 0.74 0.06 Sweden 3750 8.6 0.15 0.98 0.02 2441 4.4 0.11 0.49 0.01 Switzerland, Basel 187 9.7 0.74 1.06 0.10 149 5.2 0.50 0.56 0.07 Switzerland, Geneva 130 7.8 0.72 0.92 0.10 101 5.1 0.55 0.58 0.08 Switzerland, Graubunden and Glarus 116 12.4 1.22 1.44 0.18 89 6.4 0.80 0.62 0.11 Switzerland, Neuchatel 64 11.8 1.53 1.31 0.21 37 4.4 0.85 0.46 0.11 Switzerland, St Gall-Appenzell 221 11.7 0.83 1.33 0.12 126 4.7 0.48 0.58 0.07*Switzerland, Ticino 78 14.4 1.70 1.69 0.25 58 6.5 1.00 0.82 0.16 Switzerland, Valais 147 14.7 1.25 1.64 0.18 95 6.2 0.73 0.53 0.09 Switzerland, Vaud 170 8.9 0.72 1.05 0.11 98 3.1 0.38 0.32 0.05 Switzerland, Zurich 377 10.1 0.54 1.20 0.08 281 5.1 0.35 0.54 0.05*UK, England 27209 13.1 0.08 1.54 0.01 16159 4.9 0.05 0.54 0.01 UK, England, East Anglia 1179 11.4 0.36 1.26 0.05 536 3.4 0.18 0.35 0.03 UK, England, Merseyside and Cheshire 1626 16.8 0.43 2.00 0.06 967 6.3 0.24 0.69 0.03 UK, England, North Western 2670 16.5 0.33 1.91 0.05 1684 6.4 0.19 0.70 0.03 UK, England, Oxford Region 1078 10.7 0.34 1.21 0.05 619 4.0 0.19 0.42 0.03*UK, England, South Thames 3350 11.4 0.21 1.34 0.03 1974 4.0 0.11 0.42 0.02*UK, England, South and Western Regions 3445 10.8 0.20 1.28 0.03 2054 4.3 0.12 0.46 0.02 UK, England, Trent 2893 13.7 0.27 1.57 0.04 1703 5.4 0.15 0.59 0.02*UK, England, West Midlands Region 3210 14.3 0.26 1.67 0.04 1911 5.4 0.14 0.58 0.02 UK, England, Yorkshire 2257 14.5 0.32 1.75 0.05 1384 5.9 0.19 0.67 0.03 UK, Northern Ireland 804 14.7 0.54 1.78 0.08 498 6.1 0.31 0.66 0.04 UK, Scotland 2958 14.8 0.28 1.77 0.04 2068 6.8 0.17 0.77 0.02*Yugoslavia, Vojvodina 1284 16.9 0.48 2.03 0.06 776 8.1 0.30 0.96 0.04

Oceania Australia, Capital Territory 64 9.1 1.17 1.00 0.16 40 4.5 0.74 0.46 0.11 Australia, New South Wales 2088 9.7 0.22 1.11 0.03 1106 4.0 0.13 0.43 0.02 Australia, Northern Territory 22 8.1 1.87 0.65 0.21 7 3.2 1.25 0.47 0.23 Australia, Queensland 1002 8.8 0.29 1.00 0.04 558 3.9 0.18 0.40 0.02 Australia, South 524 9.2 0.42 1.03 0.06 303 4.3 0.28 0.50 0.04 Australia, Tasmania 180 10.7 0.83 1.27 0.12 103 4.8 0.52 0.61 0.08 Australia, Victoria 1649 10.6 0.27 1.25 0.04 910 4.5 0.17 0.51 0.02 Australia, Western 549 10.2 0.45 1.27 0.07 294 4.4 0.28 0.50 0.04 New Zealand 1156 9.8 0.30 1.15 0.04 718 4.4 0.18 0.46 0.03 USA, Hawaii: White 73 7.1 0.87 0.85 0.13 44 3.4 0.56 0.37 0.08 USA, Hawaii: Chinese 23 7.3 1.67 0.82 0.23 19 4.0 1.04 0.44 0.17 USA, Hawaii: Filipino 52 8.5 1.29 1.00 0.18 17 3.1 0.75 0.42 0.11 USA, Hawaii: Hawaiian 67 14.8 1.85 1.90 0.27 40 7.3 1.19 0.78 0.17 USA, Hawaii: Japanese 304 18.8 1.21 2.17 0.17 178 7.9 0.68 0.81 0.09

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rates and standard errorsSmall intestine (C17)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 16 0.4 0.12 0.06 0.02 15 0.3 0.09 0.03 0.01*France, La Reunion 2 0.3 0.22 0.03 0.03 0 - - - - *The Gambia 0 - - - - 0 - - - - *Mali, Bamako 1 0.1 0.06 0.01 0.01 0 - - - - *Uganda, Kyadondo County 1 0.2 0.20 0.05 0.05 1 0.1 0.09 0.01 0.01*Zimbabwe, Harare: African 4 0.2 0.09 0.02 0.01 3 0.5 0.36 0.13 0.09

America, Central and South*Argentina, Bahia Blanca 3 0.3 0.16 0.04 0.03 7 0.5 0.20 0.08 0.03*Argentina, Concordia 0 - - - - 1 0.3 0.28 0.02 0.02*Brazil, Campinas 8 0.5 0.18 0.06 0.03 16 0.8 0.20 0.08 0.03*Brazil, Goiania 8 0.7 0.24 0.11 0.05 15 1.0 0.27 0.13 0.04 Colombia, Cali 24 0.9 0.18 0.09 0.03 31 0.9 0.17 0.12 0.03*Costa Rica 12 0.5 0.15 0.05 0.02 11 0.5 0.14 0.05 0.02*Cuba, Villa Clara 3 0.2 0.16 0.02 0.01 5 0.3 0.14 0.03 0.02*Ecuador, Quito 17 0.8 0.21 0.10 0.03 13 0.6 0.18 0.08 0.02*France, Martinique 4 0.4 0.18 0.05 0.03 5 0.3 0.16 0.03 0.02*USA, Puerto Rico 30 0.8 0.15 0.09 0.02 25 0.5 0.10 0.05 0.02*Uruguay, Montevideo 18 0.8 0.18 0.09 0.03 19 0.5 0.13 0.08 0.02

America, North Canada 951 1.0 0.03 0.12 0.00 737 0.6 0.02 0.08 0.00 Canada, Alberta 78 1.0 0.11 0.11 0.02 52 0.6 0.08 0.07 0.01 Canada, British Columbia 94 0.7 0.08 0.08 0.01 72 0.5 0.06 0.06 0.01 Canada, Manitoba 50 1.2 0.18 0.15 0.03 40 0.7 0.13 0.09 0.02 Canada, New Brunswick 34 1.3 0.23 0.12 0.03 19 0.6 0.14 0.07 0.02 Canada, Newfoundland 20 1.1 0.26 0.17 0.04 11 0.6 0.18 0.06 0.02 Canada, Northwest Territories 2 0.9 0.68 0.19 0.15 0 - - - - Canada, Nova Scotia 24 0.8 0.16 0.10 0.02 26 0.8 0.17 0.10 0.02 Canada, Ontario 354 1.0 0.05 0.12 0.01 277 0.6 0.04 0.07 0.01 Canada, Prince Edward Island 4 0.8 0.42 0.13 0.08 5 1.0 0.47 0.15 0.08+Canada, Quebec 250 1.1 0.07 0.12 0.01 207 0.7 0.05 0.08 0.01 Canada, Saskatchewan 43 1.1 0.19 0.14 0.03 27 0.6 0.13 0.07 0.02 Canada, Yukon 0 - - - - 1 0.9 0.95 0.24 0.24 USA, California, Los Angeles: Non-Hispanic White 153 1.0 0.09 0.10 0.01 124 0.8 0.08 0.09 0.01 USA, California, Los Angeles: Hispanic White 45 1.1 0.18 0.13 0.03 30 0.6 0.11 0.07 0.02 USA, California, Los Angeles: Black 44 1.8 0.28 0.23 0.04 33 0.9 0.16 0.09 0.02 USA, California, Los Angeles: Chinese 10 1.0 0.34 0.11 0.05 2 0.2 0.17 0.02 0.02 USA, California, Los Angeles: Filipino 10 1.5 0.49 0.13 0.06 4 0.6 0.32 0.05 0.03 USA, California, Los Angeles: Japanese 4 0.6 0.30 0.05 0.04 2 0.5 0.36 0.05 0.04 USA, California, Los Angeles: Korean 5 1.0 0.47 0.13 0.06 2 0.3 0.18 0.01 0.01 USA, California, San Francisco: Non-Hispanic White 90 1.2 0.13 0.14 0.02 96 0.9 0.11 0.12 0.02 USA, California, San Francisco: Hispanic White 7 0.6 0.22 0.04 0.03 9 0.6 0.22 0.09 0.04 USA, California, San Francisco: Black 25 2.1 0.43 0.25 0.06 15 1.1 0.30 0.15 0.04 USA, Connecticut: White 124 1.2 0.11 0.15 0.02 107 0.8 0.08 0.09 0.01 USA, Connecticut: Black 15 2.6 0.68 0.33 0.09 16 1.9 0.49 0.18 0.05 USA, Georgia, Atlanta: White 55 1.3 0.18 0.15 0.03 45 0.8 0.12 0.10 0.02 USA, Georgia, Atlanta: Black 24 1.6 0.36 0.20 0.06 31 1.4 0.28 0.14 0.03 USA, Iowa 122 1.2 0.12 0.15 0.02 123 0.9 0.09 0.10 0.01 USA, Louisiana, Central Region: White 13 1.6 0.48 0.19 0.07 5 0.7 0.33 0.09 0.04 USA, Louisiana, Central Region: Black 7 3.7 1.47 0.37 0.18 2 0.5 0.41 0.09 0.09 USA, Louisiana, New Orleans: White 27 1.2 0.25 0.17 0.04 34 1.1 0.20 0.12 0.03 USA, Louisiana, New Orleans: Black 13 1.7 0.47 0.23 0.07 15 1.2 0.33 0.12 0.04 USA, Michigan, Detroit: White 122 1.1 0.11 0.13 0.01 142 1.0 0.09 0.11 0.01 USA, Michigan, Detroit: Black 71 2.9 0.36 0.36 0.05 68 2.1 0.27 0.26 0.04 USA, New Jersey: White 235 1.0 0.07 0.13 0.01 219 0.7 0.05 0.08 0.01 USA, New Jersey: Black 39 1.5 0.25 0.16 0.03 41 1.2 0.19 0.15 0.03 USA, New Mexico: Non-Hispanic White 23 0.7 0.16 0.10 0.02 28 0.7 0.15 0.08 0.02 USA, New Mexico: Hispanic White 11 0.8 0.24 0.11 0.04 10 0.6 0.20 0.07 0.03 USA, New Mexico: American Indian 3 1.3 0.77 0.14 0.09 1 0.3 0.32 0.03 0.03 USA, New York State: White 561 1.1 0.05 0.13 0.01 545 0.8 0.04 0.10 0.01 USA, New York State: Black 107 1.6 0.15 0.20 0.02 109 1.1 0.10 0.13 0.02 USA, Utah 77 1.6 0.19 0.17 0.02 54 1.0 0.14 0.12 0.02 USA, Washington, Seattle 168 1.5 0.12 0.16 0.02 125 0.9 0.09 0.10 0.01 USA, SEER: White 798 1.2 0.05 0.14 0.01 738 0.9 0.04 0.10 0.00 USA, SEER: Black 148 2.4 0.21 0.30 0.03 139 1.8 0.16 0.21 0.02

Asia*China, Beijing 36 0.4 0.07 0.06 0.01 30 0.4 0.07 0.05 0.01

+*China, Changle *China, Cixian *China, Hong Kong 94 0.5 0.05 0.06 0.01 78 0.4 0.04 0.04 0.01*China, Jiashan 4 0.3 0.17 0.06 0.03 2 0.2 0.13 0.02 0.01

+*China, Qidong County 16 0.5 0.13 0.06 0.02 7 0.2 0.08 0.03 0.01+*China, Shanghai 166 0.6 0.05 0.09 0.01 140 0.5 0.05 0.07 0.01

*China, Taiwan 115 1.0 0.09 0.12 0.01 80 0.7 0.08 0.08 0.01*China, Tianjin 47 0.4 0.06 0.06 0.01 41 0.3 0.05 0.05 0.01+China, Wuhan 61 0.5 0.07 0.07 0.01 28 0.3 0.05 0.03 0.01

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rates and standard errorsSmall intestine (C17) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 9 0.1 0.04 0.01 0.01 2 0.0 0.03 0.01 0.00*India, Bangalore 13 0.1 0.04 0.02 0.01 7 0.1 0.04 0.01 0.00 India, Chennai (Madras) 17 0.2 0.05 0.01 0.00 10 0.1 0.04 0.01 0.01*India, Delhi 29 0.2 0.05 0.03 0.01 14 0.1 0.04 0.02 0.01*India, Karunagappally 2 0.2 0.14 0.02 0.02 0 - - - - India, Mumbai (Bombay) 61 0.3 0.05 0.04 0.01 27 0.2 0.03 0.02 0.00*India, Nagpur 1 0.1 0.05 0.00 0.00 0 - - - - *India, Poona 8 0.2 0.07 0.02 0.01 6 0.2 0.07 0.02 0.01*India, Trivandrum 5 0.2 0.09 0.02 0.01 2 0.1 0.06 0.01 0.01 Israel: Jews 110 0.8 0.08 0.09 0.01 76 0.4 0.06 0.05 0.01 Israel: Jews born in Israel 18 0.6 0.19 0.06 0.02 10 0.4 0.17 0.03 0.01 Israel: Jews born in Europe or America 63 0.9 0.13 0.10 0.02 47 0.4 0.08 0.05 0.01 Israel: Jews born in Africa or Asia 29 0.8 0.17 0.09 0.02 19 0.4 0.11 0.04 0.01 Israel: Non-Jews 12 0.9 0.28 0.11 0.05 7 0.5 0.19 0.06 0.03 Japan, Hiroshima 21 0.6 0.14 0.07 0.02 20 0.5 0.11 0.04 0.01*Japan, Miyagi Prefecture 51 0.6 0.08 0.08 0.01 42 0.4 0.06 0.03 0.01*Japan, Nagasaki Prefecture 53 0.8 0.11 0.08 0.01 32 0.3 0.07 0.03 0.01*Japan, Osaka Prefecture 211 0.7 0.05 0.08 0.01 127 0.3 0.03 0.04 0.00*Japan, Saga Prefecture 30 0.8 0.15 0.11 0.02 14 0.3 0.07 0.04 0.01*Japan, Yamagata Prefecture 39 0.7 0.11 0.08 0.02 29 0.4 0.09 0.05 0.01*Korea, Busan 18 0.6 0.16 0.12 0.03 17 0.5 0.11 0.05 0.02*Korea, Daegu 20 0.9 0.23 0.11 0.03 18 0.7 0.18 0.09 0.03*Korea, Kangwha County 3 1.1 0.61 0.18 0.13 2 0.5 0.33 0.06 0.06*Korea, Seoul 161 0.9 0.08 0.11 0.01 122 0.5 0.05 0.06 0.01*Kuwait: Kuwaitis 2 0.3 0.22 0.03 0.03 3 0.4 0.26 0.03 0.02*Kuwait: Non-Kuwaitis 0 - - - - 0 - - - - *Oman: Omani 7 0.3 0.13 0.03 0.01 2 0.1 0.08 0.01 0.01*Pakistan, South Karachi 7 0.5 0.19 0.05 0.02 2 0.2 0.15 0.02 0.02*Philippines, Manila 34 0.5 0.10 0.05 0.01 33 0.5 0.08 0.04 0.01*Philippines, Rizal 50 0.8 0.13 0.10 0.02 36 0.5 0.09 0.06 0.01 Singapore: Chinese 38 0.7 0.12 0.09 0.02 39 0.6 0.10 0.07 0.01 Singapore: Indian 6 1.1 0.47 0.09 0.04 0 - - - - Singapore: Malay 2 0.3 0.19 0.03 0.02 2 0.3 0.20 0.05 0.04*Thailand, Bangkok 20 0.3 0.07 0.03 0.01 15 0.2 0.05 0.01 0.00*Thailand, Chiang Mai 13 0.4 0.10 0.05 0.02 8 0.2 0.08 0.03 0.01*Thailand, Khon Kaen 14 0.4 0.12 0.06 0.02 5 0.2 0.07 0.02 0.01*Thailand, Lampang 5 0.3 0.11 0.03 0.01 9 0.4 0.15 0.05 0.02*Thailand, Songkhla 7 0.3 0.12 0.02 0.01 4 0.2 0.09 0.02 0.01*Viet Nam, Hanoi 3 0.1 0.04 - - 5 0.1 0.04 - - *Viet Nam, Ho Chi Minh City 11 0.1 0.05 0.01 0.00 13 0.1 0.04 0.02 0.01

Europe Austria, Tyrol 16 0.8 0.20 0.10 0.03 11 0.3 0.11 0.05 0.02 Austria, Vorarlberg 9 0.9 0.31 0.14 0.05 5 0.5 0.21 0.05 0.02

+*Belarus 89 0.3 0.03 0.04 0.00 102 0.2 0.02 0.03 0.00*Belgium, Flanders, (excl. Limburg) 67 0.8 0.10 0.10 0.01 53 0.5 0.08 0.06 0.01*Belgium, Limburg 13 1.1 0.31 0.15 0.05 9 0.7 0.25 0.08 0.03*Croatia 94 0.6 0.07 0.08 0.01 69 0.3 0.04 0.04 0.01 Czech Republic 225 0.7 0.04 0.07 0.01 192 0.4 0.03 0.04 0.00 Denmark 129 0.6 0.06 0.07 0.01 133 0.5 0.05 0.06 0.01 Estonia 20 0.5 0.11 0.06 0.02 26 0.4 0.07 0.05 0.01 Finland 155 0.9 0.07 0.11 0.01 171 0.7 0.06 0.08 0.01 France, Bas-Rhin 32 1.0 0.18 0.11 0.02 20 0.4 0.11 0.06 0.02*France, Calvados 24 1.3 0.27 0.14 0.03 16 0.5 0.13 0.05 0.02 France, Cote d’Or 17 1.0 0.24 0.14 0.04 17 0.8 0.22 0.09 0.03 France, Doubs 23 1.5 0.31 0.20 0.04 16 0.6 0.18 0.08 0.03 France, Haut-Rhin 34 1.5 0.26 0.16 0.03 37 1.3 0.23 0.14 0.03*France, Herault 22 0.6 0.14 0.08 0.02 25 0.5 0.11 0.05 0.01 France, Isere 29 0.8 0.16 0.09 0.02 25 0.6 0.13 0.06 0.02*France, Manche 13 0.9 0.25 0.10 0.03 8 0.3 0.12 0.06 0.02*France, Somme 13 0.7 0.21 0.08 0.03 17 0.8 0.19 0.11 0.03 France, Tarn 10 0.5 0.18 0.04 0.02 3 0.1 0.05 0.01 0.01 Germany, Saarland 24 0.6 0.12 0.08 0.02 29 0.5 0.10 0.05 0.01 Iceland 12 1.5 0.44 0.18 0.06 15 1.8 0.48 0.21 0.06 Ireland 85 1.0 0.11 0.12 0.01 56 0.5 0.08 0.07 0.01 Italy, Biella Province 4 0.7 0.35 0.10 0.06 7 1.3 0.56 0.15 0.06 Italy, Ferrara Province 20 1.1 0.27 0.14 0.04 15 0.7 0.20 0.09 0.03*Italy, Florence 47 0.9 0.14 0.09 0.02 33 0.5 0.09 0.06 0.01 Italy, Genoa Province 27 0.8 0.16 0.10 0.02 20 0.4 0.10 0.05 0.01 Italy, Liguria Italy, Macerata Province 7 0.5 0.20 0.07 0.03 9 0.4 0.16 0.04 0.02 Italy, Modena Province 37 1.4 0.24 0.17 0.03 27 0.8 0.17 0.10 0.02 Italy, North East 58 1.1 0.15 0.13 0.02 64 0.8 0.12 0.09 0.01

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rates and standard errorsSmall intestine (C17) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 13 0.6 0.17 0.06 0.02 17 0.7 0.21 0.07 0.02*Italy, Ragusa Province 5 0.4 0.21 0.04 0.02 5 0.4 0.18 0.03 0.02 Italy, Romagna 46 0.9 0.14 0.12 0.02 26 0.4 0.09 0.04 0.01 Italy, Sassari 12 0.6 0.19 0.09 0.03 10 0.3 0.11 0.04 0.02 Italy, Torino 34 0.9 0.15 0.11 0.02 26 0.5 0.11 0.05 0.01 Italy, Umbria 15 0.7 0.18 0.07 0.02 17 0.6 0.18 0.07 0.02 Italy, Varese Province 25 0.7 0.15 0.07 0.02 20 0.4 0.11 0.05 0.01 Italy, Venetian Region 48 0.8 0.12 0.08 0.01 49 0.6 0.09 0.06 0.01*Latvia 42 0.6 0.09 0.08 0.01 47 0.4 0.06 0.05 0.01 Lithuania 25 0.2 0.05 0.03 0.01 44 0.2 0.04 0.03 0.01 Malta 13 1.2 0.33 0.15 0.05 9 0.7 0.24 0.08 0.03 The Netherlands 376 0.7 0.04 0.09 0.01 362 0.5 0.03 0.06 0.00 The Netherlands, Eindhoven 26 0.8 0.16 0.09 0.02 16 0.4 0.10 0.04 0.01 The Netherlands, Maastricht 15 0.5 0.13 0.05 0.02 15 0.4 0.10 0.05 0.02 Norway 179 1.1 0.09 0.13 0.01 147 0.7 0.07 0.08 0.01*Poland, Cracow 5 0.2 0.10 0.01 0.01 14 0.5 0.13 0.05 0.01*Poland, Kielce 8 0.3 0.11 0.03 0.01 4 0.1 0.05 0.01 0.01*Poland, Lower Silesia 31 0.4 0.07 0.04 0.01 34 0.3 0.05 0.03 0.01 Poland, Warsaw City 22 0.4 0.09 0.04 0.01 12 0.1 0.04 0.02 0.01*Portugal, Vila Nova de Gaia 6 0.7 0.30 0.09 0.04 0 - - - - *Russia, St Petersburg 44 0.4 0.06 0.05 0.01 54 0.2 0.03 0.03 0.00 Slovakia 113 0.7 0.07 0.09 0.01 89 0.4 0.05 0.05 0.01 Slovenia 24 0.4 0.08 0.05 0.01 24 0.3 0.06 0.03 0.01 Spain, Albacete 2 0.1 0.09 0.03 0.02 3 0.2 0.11 0.02 0.02 Spain, Asturias 28 0.8 0.16 0.10 0.02 26 0.5 0.11 0.07 0.02*Spain, Canary Islands 14 0.6 0.17 0.08 0.02 7 0.2 0.07 0.01 0.01 Spain, Cuenca 3 0.2 0.11 0.01 0.01 5 0.4 0.20 0.03 0.02 Spain, Girona 9 0.7 0.26 0.07 0.03 4 0.3 0.17 0.03 0.02 Spain, Granada 24 0.8 0.18 0.10 0.02 11 0.3 0.09 0.05 0.02 Spain, Mallorca 11 0.5 0.15 0.05 0.02 7 0.3 0.14 0.04 0.02 Spain, Murcia 12 0.4 0.12 0.06 0.02 7 0.2 0.09 0.02 0.01 Spain, Navarra 21 1.1 0.26 0.11 0.03 12 0.4 0.14 0.05 0.02 Spain, Tarragona 19 0.9 0.21 0.12 0.03 10 0.2 0.08 0.03 0.01*Spain, Zaragoza 18 0.6 0.14 0.08 0.02 16 0.4 0.10 0.04 0.01 Sweden 559 1.4 0.07 0.16 0.01 482 1.0 0.05 0.13 0.01 Switzerland, Basel 29 1.6 0.31 0.18 0.04 32 1.4 0.26 0.17 0.04 Switzerland, Geneva 13 0.7 0.21 0.08 0.03 10 0.4 0.14 0.06 0.03 Switzerland, Graubunden and Glarus 5 0.5 0.24 0.09 0.05 5 0.3 0.17 0.02 0.02 Switzerland, Neuchatel 7 1.4 0.55 0.17 0.07 5 0.9 0.44 0.11 0.05 Switzerland, St Gall-Appenzell 18 0.9 0.23 0.12 0.04 12 0.6 0.18 0.08 0.03*Switzerland, Ticino 4 0.9 0.43 0.17 0.09 8 1.5 0.53 0.23 0.08 Switzerland, Valais 14 1.6 0.43 0.17 0.05 6 0.7 0.28 0.07 0.03 Switzerland, Vaud 18 0.9 0.23 0.14 0.04 14 0.7 0.20 0.10 0.03 Switzerland, Zurich 33 1.0 0.17 0.12 0.03 36 0.8 0.14 0.12 0.02*UK, England 1166 0.6 0.02 0.07 0.00 1090 0.4 0.01 0.05 0.00 UK, England, East Anglia 51 0.5 0.08 0.07 0.01 65 0.6 0.08 0.08 0.01 UK, England, Merseyside and Cheshire 68 0.8 0.10 0.10 0.01 52 0.4 0.06 0.05 0.01 UK, England, North Western 102 0.7 0.07 0.07 0.01 94 0.5 0.05 0.05 0.01 UK, England, Oxford Region 55 0.6 0.09 0.08 0.01 56 0.5 0.08 0.06 0.01*UK, England, South Thames 139 0.5 0.05 0.06 0.01 135 0.4 0.04 0.04 0.00*UK, England, South and Western Regions 212 0.8 0.06 0.09 0.01 202 0.5 0.04 0.06 0.01 UK, England, Trent 130 0.7 0.06 0.08 0.01 106 0.4 0.05 0.05 0.01*UK, England, West Midlands Region 131 0.6 0.06 0.07 0.01 146 0.6 0.05 0.06 0.01 UK, England, Yorkshire 104 0.7 0.08 0.09 0.01 90 0.5 0.06 0.06 0.01 UK, Northern Ireland 64 1.2 0.15 0.16 0.02 52 0.7 0.11 0.08 0.01 UK, Scotland 137 0.7 0.07 0.09 0.01 136 0.5 0.05 0.06 0.01*Yugoslavia, Vojvodina 45 0.6 0.10 0.07 0.01 43 0.4 0.07 0.06 0.01

Oceania Australia, Capital Territory 7 1.0 0.41 0.10 0.04 6 0.8 0.35 0.08 0.04 Australia, New South Wales 174 0.9 0.07 0.10 0.01 135 0.6 0.05 0.07 0.01 Australia, Northern Territory 2 1.0 0.71 0.07 0.07 1 0.6 0.58 0.10 0.10 Australia, Queensland 99 0.9 0.10 0.11 0.01 77 0.7 0.08 0.08 0.01 Australia, South 43 0.8 0.13 0.10 0.02 25 0.4 0.09 0.06 0.01 Australia, Tasmania 12 0.8 0.23 0.09 0.03 15 1.0 0.26 0.11 0.03 Australia, Victoria 125 0.8 0.08 0.10 0.01 96 0.6 0.06 0.06 0.01 Australia, Western 47 0.8 0.13 0.11 0.02 45 0.8 0.12 0.10 0.02 New Zealand 111 1.0 0.10 0.12 0.01 70 0.5 0.07 0.06 0.01 USA, Hawaii: White 19 2.1 0.48 0.29 0.08 13 1.1 0.34 0.18 0.06 USA, Hawaii: Chinese 0 - - - - 2 0.2 0.16 - - USA, Hawaii: Filipino 4 0.9 0.47 0.10 0.05 4 0.8 0.41 0.11 0.06 USA, Hawaii: Hawaiian 7 1.5 0.59 0.12 0.06 5 1.0 0.46 0.10 0.05 USA, Hawaii: Japanese 14 1.0 0.31 0.13 0.04 5 0.2 0.08 0.02 0.02

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rates and standard errorsLarge bowel (C18-21)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 284 7.1 0.44 0.83 0.06 248 6.2 0.42 0.79 0.06*France, La Reunion 63 12.4 1.59 1.61 0.24 63 10.0 1.29 1.10 0.17*The Gambia 8 1.5 0.53 14 2.5 0.70 *Mali, Bamako 32 5.2 1.02 0.53 0.13 25 4.7 0.98 0.50 0.12*Uganda, Kyadondo County 68 7.7 1.11 0.84 0.16 61 7.3 1.05 0.97 0.16*Zimbabwe, Harare: African 101 7.3 0.88 0.87 0.14 70 7.2 0.97 0.75 0.13

America, Central and South*Argentina, Bahia Blanca 335 30.6 1.69 3.54 0.24 285 19.2 1.20 2.13 0.16*Argentina, Concordia 77 24.9 2.85 2.64 0.39 82 20.2 2.30 2.40 0.33*Brazil, Campinas 284 18.2 1.09 2.02 0.15 320 15.9 0.90 1.77 0.13*Brazil, Goiania 202 16.5 1.21 1.84 0.17 257 17.3 1.11 2.06 0.16 Colombia, Cali 341 12.2 0.68 1.36 0.10 484 14.0 0.67 1.60 0.10*Costa Rica 281 11.4 0.70 1.40 0.11 315 11.7 0.68 1.19 0.09*Cuba, Villa Clara 250 14.5 0.95 1.64 0.14 341 19.0 1.08 2.04 0.15*Ecuador, Quito 182 9.1 0.70 1.14 0.11 256 9.6 0.63 1.04 0.09*France, Martinique 158 14.2 1.17 1.61 0.16 183 12.8 1.02 1.42 0.14*USA, Puerto Rico 1055 26.2 0.84 3.21 0.12 950 19.8 0.67 2.40 0.10*Uruguay, Montevideo 1010 37.9 1.23 4.36 0.17 1122 26.6 0.88 3.05 0.12

America, North Canada 40753 41.8 0.21 5.04 0.03 36516 28.8 0.16 3.33 0.02 Canada, Alberta 2962 37.5 0.70 4.44 0.10 2380 24.4 0.54 2.80 0.08 Canada, British Columbia 5059 37.3 0.54 4.55 0.08 4362 25.8 0.43 2.95 0.06 Canada, Manitoba 1765 43.7 1.10 5.28 0.16 1568 29.1 0.84 3.41 0.12 Canada, New Brunswick 1115 44.0 1.37 5.25 0.20 999 29.7 1.05 3.43 0.15 Canada, Newfoundland 889 50.9 1.75 6.27 0.26 700 35.7 1.43 4.44 0.21 Canada, Northwest Territories 82 34.8 4.05 4.46 0.65 71 31.5 3.89 3.13 0.55 Canada, Nova Scotia 1483 45.2 1.22 5.36 0.18 1450 33.1 0.98 3.80 0.14 Canada, Ontario 15505 42.5 0.35 5.12 0.05 13890 29.2 0.27 3.39 0.04 Canada, Prince Edward Island 206 43.3 3.16 5.01 0.45 240 38.7 2.84 4.67 0.41+Canada, Quebec 10176 43.4 0.44 5.21 0.06 9612 30.0 0.33 3.43 0.05 Canada, Saskatchewan 1536 39.6 1.09 4.92 0.16 1266 26.2 0.86 3.01 0.12 Canada, Yukon 49 34.6 5.19 4.36 0.84 25 17.3 3.56 1.68 0.44 USA, California, Los Angeles: Non-Hispanic White 5674 37.1 0.53 4.26 0.07 5853 27.5 0.43 3.10 0.06 USA, California, Los Angeles: Hispanic White 1195 34.2 1.03 4.26 0.17 1004 20.3 0.66 2.27 0.10 USA, California, Los Angeles: Black 1056 44.4 1.39 5.30 0.20 1191 33.9 1.04 4.00 0.15 USA, California, Los Angeles: Chinese 272 31.1 1.95 3.24 0.26 227 22.6 1.56 2.27 0.21 USA, California, Los Angeles: Filipino 168 28.7 2.30 4.05 0.38 143 16.8 1.49 1.61 0.18 USA, California, Los Angeles: Japanese 253 48.0 3.23 5.28 0.40 223 32.8 2.39 3.30 0.29 USA, California, Los Angeles: Korean 131 33.3 3.10 3.72 0.41 105 17.9 1.79 2.07 0.25 USA, California, San Francisco: Non-Hispanic White 3304 39.3 0.73 4.61 0.11 3315 28.1 0.58 3.22 0.08 USA, California, San Francisco: Hispanic White 327 32.8 1.86 4.06 0.27 337 23.6 1.37 2.76 0.20 USA, California, San Francisco: Black 511 43.1 1.96 5.06 0.27 473 29.3 1.43 3.40 0.20 USA, Connecticut: White 4783 42.5 0.65 5.04 0.09 4921 30.3 0.51 3.51 0.07 USA, Connecticut: Black 279 50.2 3.04 6.00 0.44 277 34.9 2.15 4.33 0.32 USA, Georgia, Atlanta: White 1536 37.3 0.97 4.55 0.15 1636 27.6 0.74 3.27 0.11 USA, Georgia, Atlanta: Black 505 39.5 1.84 4.71 0.28 655 32.7 1.35 3.91 0.21 USA, Iowa 4748 42.7 0.66 5.20 0.10 5102 31.2 0.52 3.61 0.08 USA, Louisiana, Central Region: White 326 42.7 2.48 5.23 0.36 295 30.2 1.95 3.77 0.28 USA, Louisiana, Central Region: Black 74 40.2 4.94 5.00 0.74 80 29.6 3.67 3.37 0.50 USA, Louisiana, New Orleans: White 906 41.0 1.41 4.84 0.20 982 28.8 1.05 3.33 0.15 USA, Louisiana, New Orleans: Black 365 46.0 2.44 5.74 0.37 442 36.0 1.79 4.14 0.26 USA, Michigan, Detroit: White 4394 40.8 0.64 4.73 0.09 4221 27.1 0.47 3.17 0.07 USA, Michigan, Detroit: Black 1085 43.9 1.38 5.30 0.20 1254 35.3 1.06 4.09 0.15 USA, New Jersey: White 11666 46.8 0.46 5.62 0.07 11724 32.2 0.34 3.69 0.05 USA, New Jersey: Black 1145 46.2 1.38 5.87 0.21 1299 35.6 1.02 4.22 0.15 USA, New Mexico: Non-Hispanic White 1060 31.2 1.01 3.82 0.15 983 22.6 0.80 2.67 0.12 USA, New Mexico: Hispanic White 452 30.0 1.44 3.68 0.22 387 21.4 1.13 2.59 0.17 USA, New Mexico: American Indian 51 22.6 3.27 2.63 0.45 52 15.6 2.25 1.80 0.33 USA, New York State: White 22711 42.6 0.30 5.08 0.04 24024 30.6 0.23 3.55 0.03 USA, New York State: Black 2613 38.6 0.76 4.67 0.11 3187 28.9 0.53 3.41 0.08 USA, Utah 1425 28.5 0.79 3.46 0.12 1339 21.2 0.63 2.50 0.09 USA, Washington, Seattle 4322 36.7 0.58 4.31 0.08 4207 27.0 0.46 3.13 0.07 USA, SEER: White 26300 38.4 0.25 4.57 0.04 26334 27.6 0.19 3.20 0.03 USA, SEER: Black 2601 44.2 0.89 5.29 0.13 2844 34.2 0.68 4.04 0.10

Asia*China, Beijing 1160 13.7 0.41 1.62 0.06 1117 12.8 0.40 1.58 0.06

+*China, Changle *China, Cixian *China, Hong Kong 7193 38.5 0.46 4.55 0.07 6055 28.3 0.38 3.28 0.05*China, Jiashan 247 21.8 1.41 2.65 0.19 210 17.9 1.25 2.25 0.17

+*China, Qidong County 344 11.2 0.61 1.34 0.09 407 10.8 0.56 1.25 0.08+*China, Shanghai 5467 20.5 0.29 2.55 0.04 5081 19.5 0.28 2.40 0.04

*China, Taiwan 3500 28.8 0.50 3.48 0.07 2632 23.5 0.47 2.76 0.07*China, Tianjin 1551 13.5 0.35 1.72 0.05 1478 11.6 0.31 1.39 0.04+China, Wuhan 1439 13.9 0.38 1.75 0.05 1285 11.6 0.33 1.43 0.05

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsLarge bowel (C18-21) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 303 4.8 0.29 0.58 0.04 178 3.1 0.24 0.38 0.03*India, Bangalore 417 4.9 0.25 0.57 0.04 331 4.5 0.26 0.55 0.04 India, Chennai (Madras) 398 5.0 0.26 0.56 0.04 308 4.1 0.24 0.49 0.03*India, Delhi 726 5.6 0.22 0.66 0.03 431 4.0 0.20 0.48 0.03*India, Karunagappally 26 3.1 0.62 0.51 0.11 26 2.7 0.53 0.33 0.07 India, Mumbai (Bombay) 1182 6.7 0.21 0.81 0.03 834 5.5 0.20 0.68 0.03*India, Nagpur 121 6.1 0.58 0.67 0.07 80 4.6 0.53 0.54 0.07*India, Poona 264 6.3 0.41 0.72 0.06 193 4.9 0.36 0.55 0.05*India, Trivandrum 94 4.1 0.42 0.45 0.06 75 3.0 0.35 0.38 0.05 Israel: Jews 5721 40.9 0.57 4.80 0.08 5486 32.2 0.47 3.75 0.07 Israel: Jews born in Israel 532 30.6 1.56 3.51 0.22 532 26.0 1.29 3.02 0.18 Israel: Jews born in Europe or America 3942 48.5 0.91 5.82 0.13 3851 37.5 0.75 4.41 0.10 Israel: Jews born in Africa or Asia 1247 32.7 1.17 3.76 0.13 1103 25.0 0.81 2.91 0.11 Israel: Non-Jews 176 13.4 1.06 1.56 0.16 158 10.9 0.89 1.31 0.13 Japan, Hiroshima 3060 86.7 1.58 10.79 0.23 1779 40.2 0.99 4.95 0.14*Japan, Miyagi Prefecture 4943 55.3 0.80 6.84 0.11 3359 29.5 0.54 3.47 0.07*Japan, Nagasaki Prefecture 3817 59.0 0.98 7.31 0.14 2717 29.7 0.63 3.50 0.08*Japan, Osaka Prefecture 11335 35.8 0.34 4.30 0.05 8486 20.9 0.24 2.43 0.03*Japan, Saga Prefecture 1515 39.9 1.06 4.82 0.15 1172 22.3 0.73 2.56 0.10*Japan, Yamagata Prefecture 3214 54.9 1.01 6.74 0.14 2549 32.9 0.74 3.88 0.10*Korea, Busan 629 21.9 0.96 2.75 0.15 571 14.4 0.61 1.66 0.09*Korea, Daegu 393 22.1 1.20 2.62 0.17 398 16.2 0.82 1.97 0.12*Korea, Kangwha County 37 14.6 2.44 2.04 0.38 31 9.9 1.92 1.22 0.25*Korea, Seoul 4622 27.0 0.43 3.37 0.07 4092 17.2 0.28 2.10 0.04*Kuwait: Kuwaitis 67 10.3 1.32 1.26 0.20 60 8.7 1.19 1.16 0.19*Kuwait: Non-Kuwaitis 79 5.2 1.18 0.53 0.15 55 13.6 2.39 1.85 0.42*Oman: Omani 112 5.7 0.55 0.67 0.08 47 2.7 0.40 0.35 0.06*Pakistan, South Karachi 86 5.3 0.62 0.60 0.09 65 5.5 0.74 0.63 0.10*Philippines, Manila 1254 22.7 0.69 2.80 0.11 1139 16.5 0.51 1.92 0.08*Philippines, Rizal 925 16.2 0.59 1.89 0.09 912 13.6 0.47 1.61 0.07 Singapore: Chinese 2299 44.1 0.93 5.28 0.14 2100 31.7 0.71 3.66 0.10 Singapore: Indian 58 8.7 1.17 1.01 0.15 54 15.1 2.18 1.80 0.30 Singapore: Malay 159 20.2 1.64 2.55 0.24 129 16.3 1.46 2.09 0.21*Thailand, Bangkok 1046 16.6 0.53 1.90 0.08 871 11.1 0.39 1.28 0.06*Thailand, Chiang Mai 286 8.0 0.48 0.98 0.07 258 7.0 0.44 0.87 0.06*Thailand, Khon Kaen 237 7.4 0.50 0.91 0.07 177 4.9 0.37 0.59 0.05*Thailand, Lampang 218 11.1 0.76 1.42 0.12 161 7.6 0.61 0.95 0.09*Thailand, Songkhla 125 6.5 0.59 0.76 0.09 87 4.1 0.45 0.46 0.06*Viet Nam, Hanoi 460 10.7 0.50 331 6.7 0.37 *Viet Nam, Ho Chi Minh City 768 13.0 0.48 1.56 0.07 785 9.5 0.35 1.17 0.05

Europe Austria, Tyrol 753 35.6 1.33 4.29 0.19 796 24.2 0.97 2.73 0.13 Austria, Vorarlberg 371 36.5 1.91 4.56 0.29 423 28.0 1.50 3.35 0.21

+*Belarus 6984 24.6 0.30 3.15 0.04 7866 16.8 0.20 2.12 0.03*Belgium, Flanders, (excl. Limburg) 3164 35.0 0.64 4.20 0.09 2851 23.6 0.50 2.66 0.07*Belgium, Limburg 451 38.7 1.85 4.90 0.27 408 27.8 1.46 3.29 0.21*Croatia 5264 34.0 0.48 4.36 0.07 4305 19.3 0.31 2.39 0.04 Czech Republic 18841 55.0 0.41 6.74 0.06 15040 29.8 0.26 3.50 0.04 Denmark 8282 38.3 0.44 4.60 0.07 8535 29.7 0.37 3.54 0.05 Estonia 1322 30.0 0.83 3.74 0.12 1594 20.3 0.54 2.50 0.08 Finland 4640 25.4 0.38 2.97 0.05 5320 19.2 0.30 2.18 0.04 France, Bas-Rhin 1654 51.9 1.29 6.34 0.19 1244 26.3 0.83 3.04 0.11*France, Calvados 910 41.0 1.40 4.97 0.20 816 24.6 0.98 2.83 0.14 France, Cote d’Or 733 38.1 1.47 4.47 0.21 621 21.9 1.02 2.45 0.14 France, Doubs 669 38.8 1.53 4.62 0.22 560 23.6 1.11 2.65 0.15 France, Haut-Rhin 1099 47.8 1.45 5.91 0.22 1027 30.2 1.04 3.44 0.14*France, Herault 1246 33.7 1.01 3.92 0.14 1150 23.3 0.79 2.62 0.11 France, Isere 1500 41.9 1.10 4.98 0.16 1315 26.7 0.82 2.99 0.11*France, Manche 570 34.8 1.52 4.12 0.21 479 21.2 1.14 2.36 0.15*France, Somme 747 36.4 1.39 4.28 0.19 573 20.8 0.98 2.28 0.13 France, Tarn 675 37.7 1.58 4.59 0.22 530 22.6 1.20 2.58 0.16 Germany, Saarland 2143 48.3 1.06 5.86 0.15 2309 33.3 0.79 3.86 0.11 Iceland 257 28.4 1.85 3.31 0.27 223 20.7 1.52 2.35 0.22 Ireland 3952 43.2 0.71 5.27 0.10 3008 26.7 0.53 3.18 0.08 Italy, Biella Province 280 49.9 3.12 6.50 0.45 233 27.5 2.21 2.96 0.27 Italy, Ferrara Province 887 45.9 1.63 5.60 0.23 786 30.5 1.26 3.61 0.17*Italy, Florence 2705 46.2 0.94 5.63 0.13 2366 30.1 0.71 3.51 0.10 Italy, Genoa Province 1778 44.6 1.14 5.26 0.15 1663 28.9 0.87 3.30 0.11 Italy, Liguria Italy, Macerata Province 648 41.8 1.77 4.94 0.24 586 29.8 1.45 3.47 0.19 Italy, Modena Province 1157 38.2 1.18 4.60 0.17 979 24.7 0.91 2.85 0.12 Italy, North East 2618 45.7 0.93 5.41 0.13 2366 27.8 0.68 3.12 0.09

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsLarge bowel (C18-21) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 852 40.6 1.50 4.77 0.21 729 26.2 1.20 3.06 0.15*Italy, Ragusa Province 335 25.9 1.49 2.97 0.21 287 18.9 1.24 2.12 0.16 Italy, Romagna 2119 42.9 0.99 5.09 0.14 1908 29.8 0.79 3.31 0.10 Italy, Sassari 500 27.4 1.27 3.38 0.19 411 18.9 1.01 2.13 0.13 Italy, Torino 1704 38.7 0.97 4.63 0.14 1681 27.2 0.75 3.17 0.10 Italy, Umbria 1055 39.1 1.29 4.85 0.18 891 27.1 1.07 3.14 0.14 Italy, Varese Province 1345 40.4 1.13 4.87 0.16 1254 25.6 0.81 2.96 0.11 Italy, Venetian Region 2561 39.9 0.81 4.79 0.12 2293 24.7 0.59 2.82 0.08*Latvia 1791 23.7 0.57 2.96 0.08 2235 16.8 0.38 2.03 0.05 Lithuania 2729 25.6 0.49 3.20 0.07 2860 16.8 0.33 2.05 0.05 Malta 341 29.0 1.60 3.32 0.22 308 21.3 1.26 2.48 0.17 The Netherlands 21001 38.1 0.27 4.55 0.04 20703 28.0 0.22 3.24 0.03 The Netherlands, Eindhoven 1404 43.2 1.16 5.26 0.17 1235 29.9 0.91 3.56 0.13 The Netherlands, Maastricht 1323 40.0 1.12 4.78 0.16 1310 30.2 0.91 3.55 0.13 Norway 7202 39.6 0.50 4.78 0.07 7669 32.7 0.44 3.90 0.06*Poland, Cracow 592 26.3 1.08 3.03 0.15 603 17.1 0.73 1.99 0.10*Poland, Kielce 635 22.1 0.89 2.79 0.13 622 15.5 0.67 1.87 0.09*Poland, Lower Silesia 2446 29.7 0.61 3.64 0.09 2297 19.3 0.42 2.31 0.06 Poland, Warsaw City 1710 29.4 0.72 3.54 0.10 1756 19.5 0.50 2.28 0.07*Portugal, Vila Nova de Gaia 271 35.6 2.19 4.46 0.33 220 21.0 1.48 2.41 0.22*Russia, St Petersburg 3852 36.2 0.59 4.43 0.09 5864 27.2 0.38 3.27 0.05 Slovakia 6967 45.9 0.56 5.80 0.08 5194 24.3 0.35 2.88 0.05 Slovenia 2331 37.6 0.78 4.52 0.11 2144 23.0 0.53 2.71 0.07 Spain, Albacete 352 23.8 1.36 2.70 0.18 305 17.7 1.13 2.16 0.15 Spain, Asturias 1327 33.3 0.96 3.97 0.13 1026 19.3 0.69 2.22 0.09*Spain, Canary Islands 685 28.6 1.11 3.23 0.16 583 20.0 0.87 2.23 0.12 Spain, Cuenca 264 21.7 1.50 2.64 0.21 225 18.1 1.49 1.97 0.18 Spain, Girona 587 42.3 1.85 5.05 0.26 408 24.9 1.40 2.93 0.19 Spain, Granada 768 26.3 0.99 3.06 0.13 633 17.1 0.75 1.99 0.10 Spain, Mallorca 760 39.6 1.50 4.78 0.22 597 23.3 1.09 2.51 0.14 Spain, Murcia 1008 33.1 1.07 3.76 0.15 900 24.2 0.88 2.82 0.12 Spain, Navarra 856 37.1 1.34 4.21 0.18 594 20.0 0.95 2.20 0.13 Spain, Tarragona 869 34.5 1.24 3.99 0.17 740 24.5 1.02 2.77 0.14*Spain, Zaragoza 1113 29.4 0.93 3.45 0.13 920 19.1 0.73 2.15 0.10 Sweden 12779 30.3 0.29 3.57 0.04 12333 23.2 0.25 2.76 0.04 Switzerland, Basel 671 34.4 1.38 3.94 0.20 678 26.3 1.18 2.99 0.16 Switzerland, Geneva 543 33.3 1.50 4.28 0.23 560 27.9 1.29 3.09 0.19 Switzerland, Graubunden and Glarus 324 37.0 2.16 4.32 0.31 239 19.4 1.46 2.21 0.21 Switzerland, Neuchatel 204 37.2 2.70 4.59 0.41 185 24.2 2.04 2.92 0.29 Switzerland, St Gall-Appenzell 675 34.9 1.42 4.10 0.21 528 20.6 1.03 2.49 0.15*Switzerland, Ticino 186 34.0 2.61 4.06 0.39 177 23.7 2.02 2.92 0.29 Switzerland, Valais 336 34.3 1.92 4.10 0.28 246 19.4 1.36 2.14 0.18 Switzerland, Vaud 649 34.7 1.43 4.09 0.21 590 21.9 1.04 2.54 0.15 Switzerland, Zurich 1221 33.0 0.98 3.82 0.14 1169 22.8 0.76 2.59 0.10*UK, England 71079 35.4 0.14 4.23 0.02 65948 22.8 0.10 2.66 0.01 UK, England, East Anglia 3364 34.5 0.63 4.11 0.09 3167 24.6 0.51 2.82 0.07 UK, England, Merseyside and Cheshire 3824 39.9 0.67 4.84 0.10 3431 24.8 0.48 2.92 0.07 UK, England, North Western 6093 38.3 0.51 4.64 0.07 5609 24.4 0.38 2.86 0.05 UK, England, Oxford Region 3367 34.8 0.62 4.07 0.09 3243 25.3 0.50 2.91 0.07*UK, England, South Thames 9144 32.6 0.36 3.82 0.05 9536 23.1 0.28 2.68 0.04*UK, England, South and Western Regions 11168 37.0 0.37 4.38 0.05 10736 25.4 0.30 2.93 0.04 UK, England, Trent 7146 35.0 0.43 4.20 0.06 6286 22.5 0.33 2.58 0.05*UK, England, West Midlands Region 8424 38.4 0.44 4.47 0.06 7071 23.3 0.32 2.66 0.04 UK, England, Yorkshire 5450 35.9 0.51 4.35 0.07 4991 23.0 0.38 2.69 0.05 UK, Northern Ireland 2379 43.4 0.92 5.08 0.13 2283 29.5 0.69 3.32 0.09 UK, Scotland 8436 42.6 0.48 5.02 0.07 8286 28.6 0.36 3.30 0.05*Yugoslavia, Vojvodina 2267 29.9 0.64 3.69 0.09 1898 20.0 0.48 2.49 0.07

Oceania Australia, Capital Territory 330 47.5 2.67 5.96 0.39 271 31.9 2.01 3.70 0.29 Australia, New South Wales 10004 47.9 0.49 5.83 0.07 8220 32.2 0.39 3.78 0.05 Australia, Northern Territory 114 39.8 4.05 5.15 0.65 73 28.7 3.56 3.06 0.53 Australia, Queensland 5318 49.3 0.69 5.95 0.10 4381 34.4 0.56 4.11 0.08 Australia, South 2592 48.4 0.99 5.90 0.14 2343 34.7 0.80 3.99 0.11 Australia, Tasmania 777 48.3 1.79 6.01 0.26 718 36.7 1.50 4.39 0.21 Australia, Victoria 7548 49.5 0.59 6.06 0.08 6475 34.0 0.46 4.03 0.07 Australia, Western 2409 45.6 0.95 5.53 0.14 1937 30.8 0.75 3.60 0.11 New Zealand 6006 52.0 0.69 6.38 0.10 5784 40.6 0.58 4.85 0.08 USA, Hawaii: White 418 42.1 2.15 5.09 0.31 321 28.3 1.70 3.32 0.25 USA, Hawaii: Chinese 91 28.7 3.37 3.17 0.47 79 21.0 2.66 2.38 0.38 USA, Hawaii: Filipino 230 38.3 2.78 4.59 0.39 136 24.4 2.13 2.84 0.29 USA, Hawaii: Hawaiian 168 37.1 2.92 4.43 0.40 122 24.6 2.27 3.04 0.33 USA, Hawaii: Japanese 698 51.2 2.17 6.36 0.30 525 30.8 1.56 3.57 0.20

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsColon (C18)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 130 3.3 0.30 0.37 0.04 115 2.8 0.28 0.36 0.04*France, La Reunion 42 8.3 1.30 1.09 0.20 40 6.3 1.02 0.65 0.13*The Gambia 3 0.5 0.32 - - 5 1.1 0.49 - - *Mali, Bamako 11 2.1 0.70 0.24 0.09 10 1.7 0.57 0.20 0.08*Uganda, Kyadondo County 27 3.4 0.74 0.34 0.10 29 3.7 0.76 0.51 0.12*Zimbabwe, Harare: African 55 3.9 0.63 0.48 0.10 34 3.3 0.64 0.32 0.07

America, Central and South*Argentina, Bahia Blanca 238 21.8 1.43 2.54 0.20 213 14.3 1.04 1.64 0.14*Argentina, Concordia 58 18.6 2.45 2.05 0.36 64 15.8 2.04 1.87 0.29*Brazil, Campinas 176 11.3 0.86 1.27 0.12 204 10.1 0.72 1.12 0.10*Brazil, Goiania 125 10.4 0.97 1.18 0.14 160 10.8 0.87 1.21 0.12 Colombia, Cali 200 7.2 0.52 0.84 0.08 289 8.4 0.51 0.93 0.07*Costa Rica 173 7.1 0.55 0.94 0.09 195 7.2 0.53 0.69 0.07*Cuba, Villa Clara 170 9.7 0.78 1.04 0.11 265 14.5 0.94 1.51 0.13*Ecuador, Quito 116 5.8 0.56 0.73 0.09 158 5.7 0.48 0.56 0.07*France, Martinique 108 9.7 0.97 1.11 0.13 129 8.9 0.85 0.95 0.11*USA, Puerto Rico 708 17.3 0.68 2.11 0.10 677 13.9 0.56 1.66 0.08*Uruguay, Montevideo 638 24.0 0.98 2.79 0.14 807 18.9 0.74 2.13 0.10

America, North Canada 25571 25.9 0.17 3.06 0.02 25928 20.0 0.14 2.29 0.02 Canada, Alberta 1737 21.8 0.53 2.51 0.08 1598 16.1 0.43 1.84 0.06 Canada, British Columbia 2934 21.3 0.41 2.55 0.06 2864 16.5 0.34 1.86 0.05 Canada, Manitoba 1109 27.0 0.86 3.22 0.13 1149 20.4 0.69 2.36 0.10 Canada, New Brunswick 724 28.4 1.10 3.35 0.16 749 22.3 0.91 2.58 0.13 Canada, Newfoundland 582 33.1 1.41 3.99 0.20 510 25.9 1.22 3.23 0.18 Canada, Northwest Territories 38 15.6 2.67 1.88 0.43 44 20.0 3.13 1.93 0.45 Canada, Nova Scotia 965 28.8 0.97 3.38 0.14 1032 22.8 0.80 2.61 0.12 Canada, Ontario 10350 28.0 0.28 3.32 0.04 10318 21.2 0.23 2.44 0.03 Canada, Prince Edward Island 136 27.3 2.46 3.09 0.36 183 28.5 2.40 3.59 0.37+Canada, Quebec 6047 25.5 0.33 2.97 0.05 6610 20.2 0.27 2.31 0.04 Canada, Saskatchewan 956 24.5 0.85 3.04 0.13 884 17.5 0.69 1.93 0.10 Canada, Yukon 22 14.7 3.34 1.94 0.57 10 6.4 2.14 0.78 0.33 USA, California, Los Angeles: Non-Hispanic White 3859 24.5 0.42 2.75 0.06 4259 19.2 0.35 2.15 0.05 USA, California, Los Angeles: Hispanic White 726 21.0 0.81 2.67 0.13 683 13.7 0.54 1.46 0.08 USA, California, Los Angeles: Black 709 29.6 1.13 3.47 0.16 912 25.7 0.90 3.02 0.13 USA, California, Los Angeles: Chinese 173 19.9 1.57 2.07 0.21 156 15.0 1.24 1.52 0.17 USA, California, Los Angeles: Filipino 101 17.2 1.78 2.42 0.30 99 11.6 1.24 1.10 0.15 USA, California, Los Angeles: Japanese 153 27.7 2.37 3.00 0.30 155 21.8 1.90 2.14 0.23 USA, California, Los Angeles: Korean 78 20.0 2.42 2.15 0.32 65 11.0 1.40 1.31 0.20 USA, California, San Francisco: Non-Hispanic White 2246 26.1 0.59 3.00 0.09 2411 19.7 0.48 2.25 0.07 USA, California, San Francisco: Hispanic White 204 20.5 1.47 2.50 0.22 236 16.6 1.15 1.85 0.16 USA, California, San Francisco: Black 358 29.8 1.62 3.47 0.23 355 21.5 1.22 2.44 0.17 USA, Connecticut: White 3253 28.3 0.53 3.28 0.08 3632 21.4 0.42 2.46 0.06 USA, Connecticut: Black 209 37.6 2.64 4.52 0.39 217 27.4 1.91 3.46 0.29 USA, Georgia, Atlanta: White 1056 25.7 0.81 3.15 0.13 1165 18.9 0.60 2.17 0.09 USA, Georgia, Atlanta: Black 356 28.8 1.59 3.45 0.24 503 25.1 1.18 3.00 0.18 USA, Iowa 3250 28.5 0.54 3.44 0.08 3902 22.8 0.44 2.61 0.06 USA, Louisiana, Central Region: White 214 27.2 1.95 3.18 0.28 207 20.7 1.60 2.56 0.23 USA, Louisiana, Central Region: Black 62 33.0 4.45 4.09 0.67 59 22.7 3.24 2.78 0.46 USA, Louisiana, New Orleans: White 641 28.6 1.17 3.31 0.17 766 22.0 0.90 2.56 0.13 USA, Louisiana, New Orleans: Black 274 34.3 2.10 4.23 0.32 344 27.7 1.57 3.19 0.23 USA, Michigan, Detroit: White 2934 26.8 0.51 3.03 0.07 3014 18.8 0.39 2.17 0.06 USA, Michigan, Detroit: Black 767 30.7 1.15 3.72 0.17 964 26.6 0.91 3.08 0.13 USA, New Jersey: White 7986 31.2 0.37 3.69 0.05 8553 22.7 0.29 2.57 0.04 USA, New Jersey: Black 816 33.0 1.17 4.21 0.18 975 26.6 0.88 3.13 0.13 USA, New Mexico: Non-Hispanic White 736 21.2 0.83 2.57 0.12 730 16.2 0.67 1.88 0.10 USA, New Mexico: Hispanic White 285 18.6 1.12 2.29 0.17 266 14.7 0.94 1.79 0.14 USA, New Mexico: American Indian 33 14.3 2.56 1.64 0.36 38 11.1 1.88 1.23 0.26 USA, New York State: White 15605 28.6 0.24 3.35 0.04 17812 21.9 0.19 2.51 0.03 USA, New York State: Black 1887 28.0 0.65 3.34 0.10 2421 21.8 0.46 2.56 0.07 USA, Utah 972 19.1 0.64 2.30 0.10 933 14.5 0.52 1.70 0.08 USA, Washington, Seattle 2935 24.4 0.47 2.83 0.07 3011 18.7 0.38 2.13 0.06 USA, SEER: White 17855 25.5 0.20 2.99 0.03 19211 19.4 0.16 2.22 0.02 USA, SEER: Black 1852 31.6 0.75 3.79 0.11 2182 26.0 0.59 3.07 0.09

Asia*China, Beijing 603 7.2 0.30 0.83 0.04 638 7.2 0.30 0.90 0.04

+*China, Changle *China, Cixian *China, Hong Kong 4415 23.5 0.36 2.72 0.05 3975 18.6 0.31 2.15 0.04*China, Jiashan 110 9.7 0.93 1.16 0.12 94 7.9 0.83 0.97 0.11

+*China, Qidong County 71 2.3 0.28 0.29 0.04 91 2.4 0.26 0.28 0.04+*China, Shanghai 3106 11.5 0.21 1.43 0.03 3143 12.0 0.22 1.49 0.03

*China, Taiwan 1862 15.1 0.36 1.81 0.05 1460 12.9 0.35 1.49 0.05*China, Tianjin 819 7.1 0.25 0.88 0.04 747 5.8 0.22 0.72 0.03+China, Wuhan 660 6.4 0.26 0.80 0.04 579 5.2 0.22 0.66 0.03

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsColon (C18) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 120 1.9 0.19 0.25 0.03 74 1.3 0.16 0.15 0.02*India, Bangalore 175 2.1 0.17 0.26 0.03 127 1.8 0.16 0.22 0.02 India, Chennai (Madras) 150 1.9 0.16 0.21 0.02 132 1.8 0.16 0.22 0.02*India, Delhi 342 2.6 0.15 0.30 0.02 216 2.1 0.15 0.26 0.02*India, Karunagappally 7 0.8 0.30 0.12 0.06 10 1.0 0.32 0.13 0.05 India, Mumbai (Bombay) 609 3.4 0.15 0.41 0.02 458 3.1 0.15 0.38 0.02*India, Nagpur 58 2.9 0.40 0.34 0.05 46 2.6 0.39 0.30 0.05*India, Poona 135 3.3 0.30 0.34 0.04 102 2.6 0.27 0.30 0.04*India, Trivandrum 42 1.8 0.28 0.18 0.03 31 1.2 0.22 0.15 0.03 Israel: Jews 4113 28.9 0.47 3.34 0.07 4047 23.5 0.40 2.74 0.06 Israel: Jews born in Israel 354 21.2 1.31 2.36 0.18 357 18.1 1.09 2.06 0.15 Israel: Jews born in Europe or America 2897 34.5 0.75 4.08 0.11 2895 27.8 0.64 3.28 0.08 Israel: Jews born in Africa or Asia 862 22.2 0.92 2.59 0.11 795 18.1 0.70 2.12 0.09 Israel: Non-Jews 122 9.6 0.91 1.18 0.14 120 8.2 0.77 1.01 0.11 Japan, Hiroshima 2096 59.2 1.31 7.31 0.19 1249 28.0 0.82 3.48 0.12*Japan, Miyagi Prefecture 3108 34.6 0.63 4.29 0.09 2273 19.6 0.44 2.34 0.06*Japan, Nagasaki Prefecture 2401 36.8 0.77 4.62 0.11 1820 19.5 0.51 2.28 0.07*Japan, Osaka Prefecture 6975 22.1 0.27 2.63 0.04 5875 14.3 0.20 1.65 0.03*Japan, Saga Prefecture 938 24.6 0.83 3.02 0.12 809 15.0 0.59 1.72 0.08*Japan, Yamagata Prefecture 1999 33.9 0.79 4.14 0.11 1736 22.0 0.60 2.59 0.08*Korea, Busan 324 11.5 0.69 1.48 0.11 293 7.4 0.44 0.85 0.06*Korea, Daegu 195 11.3 0.87 1.31 0.12 188 7.7 0.57 0.94 0.08*Korea, Kangwha County 18 7.4 1.79 0.86 0.23 14 4.4 1.28 0.52 0.17*Korea, Seoul 2199 13.1 0.31 1.60 0.05 2058 8.7 0.20 1.06 0.03*Kuwait: Kuwaitis 41 6.3 1.03 0.79 0.16 36 5.4 0.95 0.74 0.16*Kuwait: Non-Kuwaitis 49 4.1 1.15 0.41 0.14 32 9.1 1.99 1.25 0.34*Oman: Omani 62 3.1 0.40 0.32 0.05 27 1.6 0.31 0.20 0.05*Pakistan, South Karachi 40 2.4 0.40 0.24 0.05 41 3.6 0.61 0.40 0.08*Philippines, Manila 721 13.4 0.54 1.61 0.08 683 10.1 0.40 1.14 0.06*Philippines, Rizal 539 9.8 0.46 1.17 0.07 568 8.6 0.38 0.99 0.06 Singapore: Chinese 1289 24.9 0.70 2.95 0.11 1285 19.2 0.55 2.21 0.08 Singapore: Indian 30 4.5 0.84 0.56 0.11 32 9.3 1.75 1.13 0.25 Singapore: Malay 77 9.4 1.10 1.18 0.16 72 9.0 1.08 1.28 0.17*Thailand, Bangkok 652 10.3 0.42 1.12 0.06 569 7.2 0.31 0.82 0.05*Thailand, Chiang Mai 162 4.6 0.36 0.57 0.05 149 4.0 0.33 0.50 0.05*Thailand, Khon Kaen 158 4.8 0.39 0.55 0.06 102 2.8 0.28 0.35 0.04*Thailand, Lampang 144 7.2 0.61 0.92 0.09 101 4.7 0.48 0.58 0.07*Thailand, Songkhla 61 3.1 0.40 0.33 0.06 49 2.2 0.32 0.21 0.04*Viet Nam, Hanoi 241 5.5 0.36 - - 143 2.9 0.25 - - *Viet Nam, Ho Chi Minh City 449 7.5 0.37 0.90 0.05 443 5.3 0.26 0.66 0.04

Europe Austria, Tyrol 481 22.5 1.05 2.77 0.16 534 16.2 0.79 1.82 0.11 Austria, Vorarlberg 243 23.8 1.54 2.98 0.23 298 19.1 1.22 2.27 0.17

+*Belarus 3144 11.1 0.20 1.39 0.03 3933 8.4 0.14 1.06 0.02*Belgium, Flanders, (excl. Limburg) 1759 19.1 0.47 2.26 0.07 1869 15.0 0.40 1.65 0.05*Belgium, Limburg 301 25.5 1.49 3.33 0.22 275 18.8 1.20 2.23 0.17*Croatia 2579 16.7 0.34 2.16 0.05 2274 10.1 0.22 1.23 0.03 Czech Republic 9699 28.1 0.29 3.42 0.04 8965 17.5 0.20 2.04 0.03 Denmark 4551 20.7 0.32 2.44 0.05 5511 18.6 0.29 2.21 0.04 Estonia 717 16.1 0.61 2.05 0.09 1017 13.0 0.43 1.60 0.06 Finland 2647 14.5 0.29 1.65 0.04 3384 12.1 0.24 1.34 0.03 France, Bas-Rhin 1002 31.3 1.00 3.87 0.15 816 16.9 0.66 1.93 0.09*France, Calvados 507 22.3 1.02 2.73 0.15 479 14.3 0.74 1.63 0.10 France, Cote d’Or 440 22.2 1.11 2.59 0.16 393 13.3 0.79 1.45 0.11 France, Doubs 383 22.2 1.15 2.52 0.16 358 14.8 0.87 1.70 0.12 France, Haut-Rhin 705 30.5 1.16 3.68 0.17 683 19.7 0.83 2.26 0.12*France, Herault 738 19.6 0.77 2.27 0.11 770 15.3 0.64 1.69 0.08 France, Isere 893 24.6 0.84 2.90 0.12 847 16.8 0.64 1.86 0.09*France, Manche 312 18.7 1.10 2.22 0.16 295 12.9 0.89 1.44 0.12*France, Somme 406 19.5 1.00 2.25 0.14 350 12.4 0.75 1.37 0.10 France, Tarn 346 19.3 1.12 2.38 0.16 327 13.0 0.90 1.46 0.12 Germany, Saarland 1226 27.3 0.79 3.30 0.12 1552 21.5 0.63 2.46 0.09 Iceland 199 21.6 1.60 2.42 0.23 170 15.6 1.31 1.79 0.19 Ireland 2337 25.3 0.54 3.05 0.08 2090 18.3 0.44 2.17 0.06 Italy, Biella Province 171 30.3 2.41 3.95 0.35 161 19.4 1.90 2.08 0.23 Italy, Ferrara Province 637 32.6 1.36 4.10 0.20 576 22.5 1.09 2.62 0.14*Italy, Florence 1680 28.3 0.73 3.50 0.10 1587 19.8 0.57 2.32 0.08 Italy, Genoa Province 1169 29.2 0.93 3.45 0.13 1167 20.2 0.73 2.29 0.09 Italy, Liguria Italy, Macerata Province 399 25.7 1.39 2.97 0.19 411 21.0 1.22 2.39 0.16 Italy, Modena Province 805 26.7 0.99 3.22 0.14 710 17.9 0.78 2.08 0.10 Italy, North East 1822 31.5 0.77 3.72 0.11 1665 19.8 0.57 2.26 0.08

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsColon (C18) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 577 27.0 1.21 3.10 0.17 509 17.9 1.00 2.03 0.12*Italy, Ragusa Province 189 14.7 1.13 1.78 0.16 186 12.1 0.99 1.31 0.13 Italy, Romagna 1424 28.6 0.80 3.38 0.11 1371 21.2 0.67 2.37 0.09 Italy, Sassari 297 16.2 0.97 2.03 0.15 288 12.9 0.83 1.39 0.11 Italy, Torino 1136 25.5 0.78 3.08 0.11 1155 18.6 0.62 2.15 0.08 Italy, Umbria 632 23.3 1.00 2.84 0.14 571 16.9 0.84 1.92 0.11 Italy, Varese Province 882 26.4 0.91 3.13 0.13 863 17.1 0.65 1.99 0.09 Italy, Venetian Region 1757 27.1 0.67 3.25 0.10 1648 17.7 0.50 2.02 0.07*Latvia 936 12.5 0.41 1.59 0.06 1279 9.6 0.29 1.14 0.04 Lithuania 1251 11.8 0.34 1.49 0.05 1501 8.9 0.24 1.07 0.03 Malta 202 17.1 1.23 2.00 0.17 209 14.6 1.05 1.71 0.14 The Netherlands 12786 23.0 0.21 2.74 0.03 14134 18.8 0.18 2.16 0.02 The Netherlands, Eindhoven 840 25.6 0.89 3.09 0.13 820 19.4 0.72 2.25 0.10 The Netherlands, Maastricht 736 22.1 0.83 2.65 0.12 846 19.4 0.73 2.24 0.10 Norway 4238 22.9 0.38 2.70 0.06 5177 21.5 0.35 2.56 0.05*Poland, Cracow 329 14.6 0.81 1.65 0.11 368 10.2 0.56 1.17 0.08*Poland, Kielce 306 10.7 0.62 1.33 0.09 317 7.9 0.48 0.96 0.07*Poland, Lower Silesia 1290 15.6 0.44 1.93 0.06 1328 11.2 0.32 1.35 0.04 Poland, Warsaw City 1020 17.5 0.56 2.11 0.08 1097 12.0 0.39 1.35 0.05*Portugal, Vila Nova de Gaia 168 22.0 1.72 2.72 0.26 148 13.8 1.19 1.53 0.17*Russia, St Petersburg 2111 19.9 0.44 2.41 0.06 3752 17.0 0.30 2.03 0.04 Slovakia 3545 23.3 0.40 2.93 0.06 2965 13.9 0.27 1.66 0.04 Slovenia 1129 18.1 0.54 2.22 0.08 1140 12.2 0.38 1.41 0.05 Spain, Albacete 214 14.4 1.06 1.71 0.15 190 11.2 0.91 1.33 0.12 Spain, Asturias 818 20.4 0.75 2.47 0.11 668 12.3 0.55 1.41 0.07*Spain, Canary Islands 386 15.9 0.82 1.82 0.12 378 13.0 0.70 1.50 0.10 Spain, Cuenca 156 12.6 1.14 1.53 0.16 156 12.1 1.20 1.33 0.15 Spain, Girona 376 27.2 1.49 3.16 0.20 289 17.9 1.19 2.12 0.16 Spain, Granada 456 15.6 0.76 1.78 0.10 403 10.7 0.59 1.22 0.08 Spain, Mallorca 457 23.5 1.15 2.81 0.17 378 14.4 0.85 1.54 0.11 Spain, Murcia 584 19.1 0.81 2.16 0.12 575 15.6 0.71 1.78 0.10 Spain, Navarra 501 21.5 1.02 2.32 0.14 383 12.4 0.74 1.36 0.10 Spain, Tarragona 556 21.8 0.98 2.46 0.13 545 17.9 0.87 1.96 0.11*Spain, Zaragoza 638 17.2 0.73 1.97 0.10 605 12.7 0.60 1.42 0.08 Sweden 7649 17.7 0.22 2.03 0.03 8206 14.9 0.20 1.76 0.03 Switzerland, Basel 390 19.4 1.03 2.12 0.15 404 15.5 0.91 1.74 0.12 Switzerland, Geneva 369 22.7 1.24 2.98 0.19 381 18.2 1.03 2.01 0.15 Switzerland, Graubunden and Glarus 208 22.9 1.68 2.62 0.25 157 12.4 1.15 1.41 0.17 Switzerland, Neuchatel 117 21.6 2.07 2.67 0.31 120 14.8 1.56 1.82 0.23 Switzerland, St Gall-Appenzell 390 19.7 1.06 2.23 0.15 328 12.1 0.77 1.48 0.11*Switzerland, Ticino 129 23.1 2.14 2.63 0.32 117 15.0 1.60 1.73 0.22 Switzerland, Valais 230 23.4 1.59 2.82 0.24 172 13.0 1.09 1.35 0.15 Switzerland, Vaud 359 18.7 1.04 2.08 0.15 365 12.7 0.77 1.40 0.11 Switzerland, Zurich 744 19.7 0.75 2.22 0.11 700 13.1 0.57 1.44 0.08*UK, England 41947 20.6 0.11 2.41 0.02 44528 15.0 0.08 1.74 0.01 UK, England, East Anglia 2053 20.6 0.49 2.38 0.07 2193 16.5 0.41 1.89 0.06 UK, England, Merseyside and Cheshire 2305 23.7 0.51 2.85 0.07 2359 16.8 0.40 1.97 0.06 UK, England, North Western 3605 22.4 0.39 2.67 0.06 3792 16.1 0.31 1.88 0.04 UK, England, Oxford Region 2004 20.5 0.47 2.39 0.07 2158 16.5 0.40 1.88 0.06*UK, England, South Thames 5464 19.1 0.27 2.18 0.04 6488 15.3 0.23 1.76 0.03*UK, England, South and Western Regions 6787 22.1 0.29 2.55 0.04 7467 17.3 0.24 1.99 0.03 UK, England, Trent 4004 19.3 0.32 2.28 0.05 4094 14.4 0.26 1.65 0.04*UK, England, West Midlands Region 4848 21.8 0.33 2.46 0.05 4714 15.2 0.25 1.71 0.04 UK, England, Yorkshire 3039 19.6 0.37 2.32 0.05 3221 14.4 0.30 1.67 0.04 UK, Northern Ireland 1519 27.4 0.73 3.13 0.10 1592 20.4 0.57 2.31 0.08 UK, Scotland 5244 26.2 0.37 3.01 0.05 5835 19.8 0.29 2.25 0.04*Yugoslavia, Vojvodina 1093 14.5 0.45 1.74 0.06 1002 10.6 0.35 1.32 0.05

Oceania Australia, Capital Territory 223 32.3 2.21 4.01 0.32 181 21.5 1.66 2.55 0.24 Australia, New South Wales 6074 28.9 0.38 3.47 0.05 5627 21.8 0.32 2.55 0.04 Australia, Northern Territory 65 22.2 3.01 2.94 0.49 52 21.2 3.08 2.27 0.45 Australia, Queensland 3261 29.8 0.54 3.56 0.08 3127 24.1 0.46 2.89 0.07 Australia, South 1523 27.8 0.74 3.30 0.11 1565 22.6 0.64 2.57 0.09 Australia, Tasmania 479 30.0 1.41 3.74 0.20 507 25.8 1.25 3.09 0.18 Australia, Victoria 4509 29.1 0.45 3.50 0.06 4425 22.6 0.37 2.68 0.05 Australia, Western 1428 26.8 0.72 3.20 0.11 1299 20.2 0.60 2.35 0.09 New Zealand 3644 31.3 0.53 3.79 0.08 4132 28.6 0.49 3.42 0.07 USA, Hawaii: White 302 30.0 1.80 3.55 0.26 223 18.5 1.34 2.18 0.20 USA, Hawaii: Chinese 57 18.4 2.71 2.08 0.38 54 14.2 2.19 1.64 0.32 USA, Hawaii: Filipino 139 22.1 2.07 2.60 0.30 90 16.4 1.76 1.96 0.24 USA, Hawaii: Hawaiian 98 21.6 2.23 2.49 0.29 81 16.1 1.82 1.92 0.26 USA, Hawaii: Japanese 457 32.6 1.71 4.05 0.24 386 21.4 1.27 2.46 0.17

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsRectum (C19-20)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 23 0.6 0.13 0.07 0.02 24 0.6 0.13 0.07 0.02*France, La Reunion 18 3.6 0.85 0.45 0.13 20 3.2 0.73 0.36 0.10*The Gambia 4 0.7 0.36 - - 7 1.1 0.44 - - *Mali, Bamako 17 2.4 0.66 0.23 0.09 9 1.9 0.64 0.20 0.08*Uganda, Kyadondo County 35 3.6 0.75 0.40 0.11 24 2.8 0.64 0.35 0.09*Zimbabwe, Harare: African 44 3.3 0.62 0.38 0.09 36 3.8 0.73 0.42 0.10

America, Central and South*Argentina, Bahia Blanca 93 8.4 0.88 0.98 0.13 65 4.3 0.56 0.43 0.07*Argentina, Concordia 15 5.0 1.30 0.47 0.15 15 3.6 0.94 0.48 0.15*Brazil, Campinas 80 5.1 0.58 0.53 0.08 87 4.4 0.48 0.51 0.07*Brazil, Goiania 68 5.3 0.68 0.56 0.09 84 5.7 0.63 0.73 0.10 Colombia, Cali 127 4.6 0.42 0.48 0.06 153 4.3 0.38 0.50 0.05*Costa Rica 100 3.9 0.40 0.42 0.06 104 4.0 0.40 0.42 0.05*Cuba, Villa Clara 75 4.5 0.53 0.57 0.08 68 3.9 0.49 0.45 0.07*Ecuador, Quito 58 2.9 0.40 0.38 0.06 74 2.9 0.35 0.36 0.05*France, Martinique 43 3.8 0.60 0.43 0.08 46 3.5 0.54 0.43 0.08*USA, Puerto Rico 323 8.2 0.47 1.02 0.07 232 5.1 0.35 0.63 0.05*Uruguay, Montevideo 344 12.8 0.71 1.45 0.10 262 6.4 0.44 0.79 0.06

America, North Canada 14425 15.1 0.13 1.88 0.02 9628 8.0 0.09 0.94 0.01 Canada, Alberta 1175 15.1 0.45 1.85 0.07 715 7.6 0.30 0.88 0.04 Canada, British Columbia 2030 15.3 0.35 1.91 0.05 1377 8.5 0.25 1.00 0.04 Canada, Manitoba 636 16.2 0.68 2.00 0.10 386 8.0 0.46 0.95 0.06 Canada, New Brunswick 377 15.0 0.80 1.85 0.12 235 6.9 0.51 0.78 0.07 Canada, Newfoundland 287 16.4 1.00 2.10 0.15 175 9.1 0.73 1.14 0.10 Canada, Northwest Territories 44 19.3 3.04 2.58 0.48 26 11.2 2.30 1.17 0.33 Canada, Nova Scotia 501 15.8 0.73 1.91 0.11 381 9.3 0.53 1.09 0.07 Canada, Ontario 4769 13.4 0.20 1.68 0.03 3104 7.0 0.13 0.83 0.02 Canada, Prince Edward Island 69 15.7 1.96 1.88 0.27 54 9.7 1.48 1.02 0.19+Canada, Quebec 3985 17.2 0.28 2.16 0.04 2824 9.1 0.18 1.06 0.03 Canada, Saskatchewan 570 14.8 0.67 1.84 0.10 361 8.2 0.49 1.03 0.07 Canada, Yukon 27 19.8 3.97 2.42 0.61 14 10.2 2.76 0.82 0.28 USA, California, Los Angeles: Non-Hispanic White 1660 11.4 0.30 1.36 0.04 1397 7.2 0.23 0.83 0.03 USA, California, Los Angeles: Hispanic White 445 12.6 0.62 1.51 0.10 284 5.8 0.35 0.71 0.05 USA, California, Los Angeles: Black 311 13.4 0.77 1.65 0.11 250 7.2 0.48 0.86 0.07 USA, California, Los Angeles: Chinese 95 10.7 1.14 1.15 0.15 67 7.2 0.91 0.69 0.11 USA, California, Los Angeles: Filipino 65 11.2 1.43 1.55 0.24 41 4.8 0.78 0.49 0.10 USA, California, Los Angeles: Japanese 100 20.3 2.20 2.27 0.27 63 10.3 1.42 1.09 0.16 USA, California, Los Angeles: Korean 51 12.8 1.91 1.50 0.26 39 6.7 1.11 0.73 0.15 USA, California, San Francisco: Non-Hispanic White 952 11.8 0.41 1.43 0.06 809 7.4 0.30 0.85 0.04 USA, California, San Francisco: Hispanic White 111 11.1 1.09 1.41 0.16 89 6.3 0.70 0.86 0.11 USA, California, San Francisco: Black 127 11.2 1.01 1.35 0.14 107 6.9 0.71 0.83 0.10 USA, Connecticut: White 1493 13.8 0.38 1.72 0.06 1191 8.2 0.27 0.96 0.04 USA, Connecticut: Black 66 11.9 1.48 1.39 0.21 52 6.5 0.92 0.77 0.13 USA, Georgia, Atlanta: White 436 10.6 0.52 1.28 0.08 413 7.6 0.40 0.96 0.06 USA, Georgia, Atlanta: Black 126 9.4 0.89 1.13 0.13 141 7.0 0.62 0.83 0.09 USA, Iowa 1446 13.7 0.38 1.70 0.06 1105 7.7 0.27 0.90 0.04 USA, Louisiana, Central Region: White 104 14.4 1.47 1.89 0.21 81 8.7 1.06 1.12 0.15 USA, Louisiana, Central Region: Black 11 6.3 1.99 0.83 0.29 20 6.7 1.71 0.58 0.20 USA, Louisiana, New Orleans: White 246 11.5 0.75 1.43 0.11 192 5.9 0.49 0.67 0.07 USA, Louisiana, New Orleans: Black 83 10.6 1.18 1.34 0.18 85 7.0 0.80 0.79 0.11 USA, Michigan, Detroit: White 1398 13.4 0.37 1.63 0.05 1108 7.6 0.25 0.90 0.04 USA, Michigan, Detroit: Black 298 12.3 0.74 1.49 0.10 253 7.6 0.50 0.89 0.07 USA, New Jersey: White 3535 14.8 0.26 1.85 0.04 2935 8.7 0.18 1.03 0.03 USA, New Jersey: Black 300 12.1 0.71 1.55 0.11 288 8.0 0.49 0.97 0.07 USA, New Mexico: Non-Hispanic White 301 9.3 0.56 1.16 0.08 213 5.4 0.41 0.65 0.06 USA, New Mexico: Hispanic White 161 11.1 0.88 1.34 0.13 117 6.4 0.62 0.76 0.09 USA, New Mexico: American Indian 18 8.3 2.03 1.00 0.28 13 4.1 1.19 0.48 0.17 USA, New York State: White 6819 13.3 0.17 1.65 0.02 5773 8.0 0.12 0.96 0.02 USA, New York State: Black 668 9.8 0.38 1.22 0.06 681 6.3 0.25 0.76 0.04 USA, Utah 425 8.9 0.44 1.08 0.06 367 6.0 0.34 0.71 0.05 USA, Washington, Seattle 1305 11.5 0.33 1.39 0.05 1036 7.1 0.24 0.85 0.03 USA, SEER: White 7996 12.2 0.14 1.49 0.02 6422 7.3 0.10 0.87 0.01 USA, SEER: Black 674 11.5 0.45 1.38 0.06 594 7.4 0.32 0.87 0.04

Asia*China, Beijing 551 6.4 0.28 0.77 0.04 468 5.4 0.26 0.67 0.04

+*China, Changle *China, Cixian *China, Hong Kong 0 - - - - 0 - - - - *China, Jiashan 134 11.8 1.05 1.48 0.15 114 9.8 0.93 1.26 0.13

+*China, Qidong County 270 8.8 0.54 1.03 0.08 312 8.3 0.49 0.95 0.07+*China, Shanghai 2309 8.8 0.19 1.10 0.03 1882 7.3 0.17 0.88 0.02

*China, Taiwan 1536 12.8 0.34 1.59 0.05 1096 9.9 0.30 1.20 0.04*China, Tianjin 703 6.2 0.24 0.81 0.04 704 5.6 0.21 0.65 0.03+China, Wuhan 733 7.0 0.27 0.90 0.04 599 5.4 0.22 0.63 0.03

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsRectum (C19-20) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 151 2.3 0.20 0.28 0.03 88 1.5 0.17 0.20 0.03*India, Bangalore 205 2.4 0.18 0.27 0.02 170 2.2 0.18 0.28 0.03 India, Chennai (Madras) 204 2.6 0.19 0.29 0.03 144 1.9 0.16 0.22 0.02*India, Delhi 266 2.1 0.14 0.25 0.02 170 1.5 0.12 0.18 0.02*India, Karunagappally 17 2.1 0.52 0.36 0.10 14 1.5 0.40 0.17 0.05 India, Mumbai (Bombay) 499 2.8 0.14 0.35 0.02 315 2.1 0.12 0.25 0.02*India, Nagpur 46 2.3 0.36 0.25 0.05 27 1.6 0.32 0.19 0.04*India, Poona 106 2.5 0.26 0.31 0.04 77 1.9 0.23 0.21 0.03*India, Trivandrum 51 2.2 0.31 0.27 0.05 39 1.6 0.25 0.21 0.04 Israel: Jews 1552 11.6 0.31 1.40 0.04 1355 8.2 0.24 0.95 0.03 Israel: Jews born in Israel 171 9.2 0.83 1.13 0.12 162 7.1 0.65 0.89 0.10 Israel: Jews born in Europe or America 1017 13.7 0.50 1.69 0.07 906 9.3 0.38 1.08 0.05 Israel: Jews born in Africa or Asia 364 10.0 0.72 1.11 0.07 287 6.4 0.39 0.75 0.05 Israel: Non-Jews 50 3.5 0.52 0.35 0.07 38 2.7 0.44 0.31 0.06 Japan, Hiroshima 960 27.4 0.89 3.46 0.13 519 11.9 0.54 1.43 0.08*Japan, Miyagi Prefecture 1815 20.5 0.49 2.52 0.07 1075 9.7 0.32 1.13 0.04*Japan, Nagasaki Prefecture 1407 22.0 0.61 2.69 0.08 873 10.0 0.37 1.19 0.05*Japan, Osaka Prefecture 4294 13.5 0.21 1.65 0.03 2528 6.4 0.13 0.76 0.02*Japan, Saga Prefecture 569 15.1 0.66 1.77 0.09 345 7.0 0.42 0.80 0.05*Japan, Yamagata Prefecture 1202 20.8 0.63 2.57 0.09 804 10.8 0.43 1.27 0.05*Korea, Busan 293 10.1 0.65 1.21 0.10 267 6.7 0.42 0.78 0.06*Korea, Daegu 195 10.6 0.81 1.29 0.12 203 8.2 0.58 1.00 0.08*Korea, Kangwha County 18 6.8 1.62 1.09 0.29 13 4.5 1.31 0.53 0.16*Korea, Seoul 2228 12.6 0.29 1.62 0.05 1802 7.6 0.18 0.93 0.03*Kuwait: Kuwaitis 25 3.8 0.80 0.46 0.12 22 3.0 0.69 0.39 0.11*Kuwait: Non-Kuwaitis 29 1.1 0.27 0.12 0.03 20 4.2 1.31 0.58 0.25*Oman: Omani 42 2.2 0.34 0.28 0.05 18 1.0 0.23 0.13 0.04*Pakistan, South Karachi 32 2.0 0.39 0.24 0.06 21 1.7 0.40 0.20 0.05*Philippines, Manila 516 9.1 0.43 1.15 0.07 443 6.2 0.31 0.76 0.05*Philippines, Rizal 370 6.2 0.35 0.70 0.05 323 4.7 0.28 0.58 0.04 Singapore: Chinese 992 18.8 0.61 2.28 0.09 787 12.1 0.44 1.42 0.06 Singapore: Indian 26 3.8 0.78 0.40 0.10 21 5.6 1.28 0.64 0.17 Singapore: Malay 80 10.6 1.20 1.33 0.18 55 6.9 0.95 0.81 0.13*Thailand, Bangkok 383 6.1 0.32 0.76 0.05 285 3.6 0.22 0.43 0.03*Thailand, Chiang Mai 118 3.3 0.30 0.40 0.04 100 2.7 0.27 0.33 0.04*Thailand, Khon Kaen 74 2.5 0.30 0.34 0.05 69 1.9 0.24 0.23 0.03*Thailand, Lampang 72 3.7 0.44 0.48 0.07 55 2.6 0.36 0.34 0.06*Thailand, Songkhla 59 3.1 0.41 0.38 0.06 36 1.8 0.31 0.24 0.05*Viet Nam, Hanoi 212 5.0 0.35 - - 183 3.6 0.27 - - *Viet Nam, Ho Chi Minh City 287 4.9 0.30 0.59 0.04 306 3.7 0.22 0.46 0.03

Europe Austria, Tyrol 256 12.4 0.79 1.46 0.11 219 6.8 0.51 0.78 0.07 Austria, Vorarlberg 123 12.2 1.11 1.53 0.16 108 8.0 0.83 0.97 0.11

+*Belarus 3037 10.7 0.20 1.41 0.03 3040 6.6 0.13 0.83 0.02*Belgium, Flanders, (excl. Limburg) 1373 15.5 0.43 1.89 0.06 944 8.2 0.30 0.97 0.04*Belgium, Limburg 143 12.5 1.06 1.50 0.14 131 8.9 0.82 1.05 0.12*Croatia 2657 17.1 0.34 2.18 0.05 1991 9.1 0.22 1.14 0.03 Czech Republic 8907 26.2 0.28 3.24 0.04 5805 11.7 0.16 1.40 0.02 Denmark 3598 16.9 0.30 2.08 0.04 2766 10.1 0.22 1.22 0.03 Estonia 584 13.4 0.56 1.64 0.08 542 6.8 0.32 0.84 0.04 Finland 1950 10.7 0.25 1.30 0.04 1845 6.7 0.17 0.80 0.02 France, Bas-Rhin 637 20.2 0.81 2.41 0.12 397 8.7 0.48 1.02 0.07*France, Calvados 383 17.8 0.94 2.10 0.13 296 8.9 0.59 1.03 0.08 France, Cote d’Or 286 15.4 0.95 1.83 0.13 203 7.6 0.61 0.89 0.09 France, Doubs 276 16.0 0.98 2.04 0.15 181 8.0 0.66 0.84 0.08 France, Haut-Rhin 381 16.7 0.86 2.14 0.13 306 9.4 0.59 1.07 0.08*France, Herault 483 13.3 0.64 1.58 0.09 320 6.7 0.43 0.78 0.06 France, Isere 585 16.6 0.70 2.02 0.10 395 8.3 0.46 0.95 0.06*France, Manche 251 15.8 1.04 1.85 0.14 167 7.3 0.66 0.80 0.09*France, Somme 327 16.3 0.94 1.95 0.13 197 7.3 0.58 0.80 0.08 France, Tarn 316 17.5 1.08 2.13 0.15 187 8.7 0.75 1.02 0.10 Germany, Saarland 891 20.4 0.69 2.50 0.10 720 11.3 0.48 1.34 0.06 Iceland 57 6.6 0.91 0.87 0.14 47 4.4 0.70 0.48 0.10 Ireland 1576 17.5 0.45 2.18 0.07 873 8.0 0.29 0.96 0.04 Italy, Biella Province 105 18.9 1.94 2.44 0.28 66 7.5 1.10 0.80 0.14 Italy, Ferrara Province 232 12.1 0.84 1.39 0.11 196 7.6 0.62 0.94 0.09*Italy, Florence 987 17.2 0.58 2.05 0.08 701 9.2 0.40 1.08 0.05 Italy, Genoa Province 574 14.4 0.64 1.71 0.09 447 7.9 0.44 0.92 0.06 Italy, Liguria Italy, Macerata Province 249 16.1 1.10 1.97 0.15 174 8.9 0.78 1.08 0.11 Italy, Modena Province 343 11.2 0.63 1.34 0.09 246 6.2 0.45 0.72 0.06 Italy, North East 739 13.2 0.50 1.59 0.07 600 6.9 0.33 0.76 0.04

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rates and standard errorsRectum (C19-20) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 261 12.9 0.86 1.60 0.12 199 7.5 0.62 0.91 0.08*Italy, Ragusa Province 142 10.8 0.96 1.15 0.13 96 6.5 0.73 0.76 0.10 Italy, Romagna 662 13.5 0.55 1.63 0.08 494 7.9 0.41 0.87 0.05 Italy, Sassari 201 11.2 0.81 1.34 0.12 114 5.5 0.56 0.68 0.08 Italy, Torino 535 12.3 0.55 1.48 0.08 462 7.5 0.39 0.89 0.05 Italy, Umbria 405 15.1 0.80 1.94 0.12 295 9.6 0.65 1.15 0.08 Italy, Varese Province 447 13.6 0.66 1.69 0.10 363 7.9 0.46 0.90 0.06 Italy, Venetian Region 731 11.7 0.44 1.44 0.06 548 6.2 0.30 0.72 0.04*Latvia 800 10.5 0.38 1.28 0.05 884 6.7 0.24 0.83 0.03 Lithuania 1415 13.2 0.35 1.64 0.05 1304 7.6 0.22 0.94 0.03 Malta 126 10.9 0.99 1.22 0.13 94 6.4 0.68 0.73 0.09 The Netherlands 8063 14.8 0.17 1.78 0.02 6326 8.8 0.12 1.04 0.02 The Netherlands, Eindhoven 551 17.2 0.74 2.13 0.11 402 10.2 0.53 1.27 0.08 The Netherlands, Maastricht 570 17.3 0.74 2.06 0.10 444 10.4 0.53 1.27 0.08 Norway 2879 16.2 0.32 2.03 0.05 2315 10.3 0.25 1.23 0.03*Poland, Cracow 261 11.6 0.72 1.38 0.10 232 6.8 0.46 0.81 0.06*Poland, Kielce 183 6.4 0.48 0.82 0.07 139 3.6 0.32 0.42 0.04*Poland, Lower Silesia 1043 12.7 0.40 1.58 0.06 855 7.2 0.25 0.86 0.03 Poland, Warsaw City 645 11.1 0.44 1.35 0.06 586 6.7 0.29 0.83 0.04*Portugal, Vila Nova de Gaia 102 13.4 1.35 1.72 0.21 69 6.9 0.86 0.84 0.13*Russia, St Petersburg 1713 16.1 0.39 1.99 0.06 2048 9.9 0.23 1.20 0.03 Slovakia 3345 22.1 0.39 2.81 0.06 2156 10.1 0.23 1.19 0.03 Slovenia 1172 18.9 0.55 2.23 0.08 970 10.5 0.36 1.26 0.05 Spain, Albacete 136 9.3 0.85 0.98 0.11 113 6.4 0.66 0.81 0.09 Spain, Asturias 468 11.8 0.57 1.36 0.08 321 6.3 0.41 0.74 0.05*Spain, Canary Islands 290 12.3 0.73 1.35 0.10 199 6.8 0.51 0.72 0.07 Spain, Cuenca 100 8.1 0.87 0.97 0.13 64 5.6 0.87 0.58 0.10 Spain, Girona 207 14.7 1.08 1.84 0.16 111 6.7 0.72 0.77 0.10 Spain, Granada 296 10.2 0.62 1.20 0.08 217 6.1 0.45 0.73 0.06 Spain, Mallorca 279 14.7 0.92 1.81 0.13 200 8.2 0.66 0.89 0.08 Spain, Murcia 416 13.8 0.70 1.57 0.10 315 8.4 0.51 1.02 0.07 Spain, Navarra 347 15.2 0.86 1.86 0.12 203 7.2 0.58 0.82 0.08 Spain, Tarragona 301 12.2 0.75 1.47 0.10 183 6.3 0.52 0.77 0.07*Spain, Zaragoza 468 12.0 0.58 1.47 0.09 304 6.2 0.41 0.71 0.05 Sweden 4967 12.2 0.19 1.49 0.03 3803 7.6 0.14 0.92 0.02 Switzerland, Basel 270 14.2 0.90 1.72 0.13 246 9.7 0.71 1.13 0.10 Switzerland, Geneva 158 9.5 0.79 1.19 0.12 132 7.4 0.69 0.86 0.10 Switzerland, Graubunden and Glarus 112 13.8 1.35 1.67 0.19 75 6.3 0.83 0.73 0.12 Switzerland, Neuchatel 81 14.3 1.66 1.70 0.25 49 7.2 1.14 0.87 0.16 Switzerland, St Gall-Appenzell 280 14.9 0.94 1.82 0.14 180 7.6 0.64 0.91 0.09*Switzerland, Ticino 56 10.7 1.49 1.44 0.23 50 7.5 1.15 1.09 0.18 Switzerland, Valais 104 10.7 1.08 1.25 0.16 68 5.8 0.76 0.72 0.11 Switzerland, Vaud 276 15.4 0.96 1.95 0.14 183 7.6 0.63 0.94 0.09 Switzerland, Zurich 460 12.9 0.62 1.55 0.09 408 8.4 0.46 1.00 0.06*UK, England 28005 14.3 0.09 1.75 0.01 19761 7.1 0.06 0.84 0.01 UK, England, East Anglia 1268 13.4 0.40 1.67 0.06 887 7.3 0.29 0.84 0.04 UK, England, Merseyside and Cheshire 1468 15.6 0.42 1.93 0.06 998 7.3 0.27 0.87 0.04 UK, England, North Western 2404 15.3 0.32 1.91 0.05 1671 7.5 0.21 0.89 0.03 UK, England, Oxford Region 1314 13.7 0.39 1.63 0.06 1001 8.1 0.29 0.95 0.04*UK, England, South Thames 3500 12.8 0.23 1.56 0.03 2790 7.0 0.16 0.82 0.02*UK, England, South and Western Regions 4201 14.3 0.24 1.76 0.03 2999 7.4 0.16 0.85 0.02 UK, England, Trent 3031 15.1 0.29 1.86 0.04 2059 7.6 0.19 0.87 0.03*UK, England, West Midlands Region 3469 16.1 0.28 1.95 0.04 2217 7.6 0.18 0.89 0.03 UK, England, Yorkshire 2330 15.7 0.34 1.97 0.05 1633 7.8 0.22 0.93 0.03 UK, Northern Ireland 838 15.5 0.55 1.90 0.08 649 8.4 0.37 0.93 0.05 UK, Scotland 3051 15.7 0.29 1.92 0.04 2274 8.1 0.19 0.97 0.03*Yugoslavia, Vojvodina 1071 14.0 0.44 1.79 0.06 817 8.7 0.31 1.07 0.04

Oceania Australia, Capital Territory 104 14.7 1.47 1.90 0.22 86 9.9 1.10 1.11 0.16 Australia, New South Wales 3752 18.2 0.31 2.26 0.04 2368 9.6 0.21 1.14 0.03 Australia, Northern Territory 46 16.8 2.67 2.12 0.41 17 6.4 1.66 0.61 0.23 Australia, Queensland 1963 18.5 0.43 2.28 0.06 1162 9.5 0.30 1.12 0.04 Australia, South 1053 20.3 0.65 2.55 0.09 744 11.7 0.47 1.38 0.06 Australia, Tasmania 291 17.8 1.08 2.20 0.16 199 10.3 0.80 1.22 0.11 Australia, Victoria 2957 19.8 0.37 2.50 0.05 1956 10.8 0.27 1.29 0.04 Australia, Western 941 18.1 0.60 2.24 0.09 603 10.1 0.44 1.18 0.06 New Zealand 2270 20.0 0.43 2.50 0.06 1534 11.1 0.31 1.34 0.04 USA, Hawaii: White 108 11.2 1.12 1.43 0.16 90 9.0 1.00 1.03 0.13 USA, Hawaii: Chinese 34 10.4 2.00 1.09 0.27 24 6.7 1.51 0.74 0.21 USA, Hawaii: Filipino 91 16.3 1.85 1.99 0.26 44 7.7 1.18 0.84 0.15 USA, Hawaii: Hawaiian 64 14.2 1.81 1.81 0.26 36 7.5 1.28 0.93 0.18 USA, Hawaii: Japanese 237 18.4 1.32 2.28 0.18 135 9.2 0.91 1.08 0.11

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsAnus (C21)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers *France, La Reunion 3 0.6 0.35 0.07 0.04 3 0.5 0.31 0.10 0.06*The Gambia 1 0.2 0.22 - - 2 0.3 0.25 - - *Mali, Bamako 4 0.6 0.32 0.06 0.04 6 1.1 0.48 0.11 0.05*Uganda, Kyadondo County 6 0.7 0.34 0.10 0.06 8 0.8 0.34 0.11 0.06*Zimbabwe, Harare: African 2 0.1 0.08 0.01 0.01 0 - - - -

America, Central and South*Argentina, Bahia Blanca 4 0.4 0.18 0.03 0.02 7 0.6 0.24 0.06 0.03*Argentina, Concordia 4 1.3 0.67 0.11 0.07 3 0.8 0.47 0.06 0.04*Brazil, Campinas 28 1.8 0.34 0.22 0.05 29 1.4 0.27 0.14 0.03*Brazil, Goiania 9 0.7 0.26 0.10 0.04 13 0.9 0.25 0.12 0.04 Colombia, Cali 14 0.4 0.12 0.03 0.01 42 1.3 0.20 0.17 0.03*Costa Rica 8 0.4 0.13 0.04 0.02 16 0.6 0.16 0.08 0.03*Cuba, Villa Clara 5 0.3 0.13 0.02 0.01 8 0.5 0.19 0.07 0.03*Ecuador, Quito 8 0.4 0.14 0.04 0.02 24 1.0 0.21 0.12 0.03*France, Martinique 7 0.7 0.26 0.07 0.03 8 0.5 0.20 0.04 0.02*USA, Puerto Rico 24 0.6 0.13 0.07 0.02 41 0.9 0.14 0.11 0.02*Uruguay, Montevideo 28 1.1 0.22 0.12 0.03 53 1.3 0.20 0.13 0.02

America, North Canada 757 0.8 0.03 0.09 0.00 960 0.8 0.03 0.09 0.00 Canada, Alberta 50 0.6 0.09 0.08 0.01 67 0.7 0.09 0.07 0.01 Canada, British Columbia 95 0.8 0.08 0.09 0.01 121 0.8 0.08 0.10 0.01 Canada, Manitoba 20 0.5 0.12 0.06 0.02 33 0.7 0.14 0.09 0.02 Canada, New Brunswick 14 0.5 0.15 0.06 0.02 15 0.5 0.13 0.07 0.02 Canada, Newfoundland 20 1.3 0.29 0.18 0.04 15 0.7 0.20 0.08 0.03 Canada, Northwest Territories 0 - - - - 1 0.3 0.33 0.03 0.03 Canada, Nova Scotia 17 0.6 0.14 0.07 0.02 37 0.9 0.17 0.10 0.02 Canada, Ontario 386 1.1 0.06 0.12 0.01 468 1.0 0.05 0.12 0.01 Canada, Prince Edward Island 1 0.3 0.27 0.03 0.03 3 0.5 0.33 0.06 0.04+Canada, Quebec 144 0.6 0.05 0.08 0.01 178 0.6 0.05 0.07 0.01 Canada, Saskatchewan 10 0.3 0.09 0.03 0.01 21 0.5 0.12 0.06 0.02 Canada, Yukon 0 - - - - 1 0.7 0.68 0.09 0.09 USA, California, Los Angeles: Non-Hispanic White 155 1.2 0.10 0.15 0.01 197 1.1 0.09 0.12 0.01 USA, California, Los Angeles: Hispanic White 24 0.6 0.13 0.07 0.02 37 0.8 0.13 0.10 0.02 USA, California, Los Angeles: Black 36 1.5 0.25 0.18 0.04 29 1.0 0.19 0.11 0.02 USA, California, Los Angeles: Chinese 4 0.5 0.24 0.03 0.02 4 0.5 0.23 0.06 0.03 USA, California, Los Angeles: Filipino 2 0.4 0.29 0.09 0.06 3 0.4 0.26 0.02 0.02 USA, California, Los Angeles: Japanese 0 - - - - 5 0.7 0.30 0.07 0.04 USA, California, Los Angeles: Korean 2 0.5 0.35 0.07 0.05 1 0.2 0.22 0.03 0.03 USA, California, San Francisco: Non-Hispanic White 106 1.4 0.15 0.18 0.02 95 1.0 0.12 0.12 0.02 USA, California, San Francisco: Hispanic White 12 1.2 0.34 0.15 0.05 12 0.7 0.22 0.05 0.02 USA, California, San Francisco: Black 26 2.1 0.42 0.24 0.05 11 0.9 0.27 0.13 0.04 USA, Connecticut: White 37 0.4 0.06 0.04 0.01 98 0.7 0.09 0.09 0.01 USA, Connecticut: Black 4 0.7 0.35 0.09 0.05 8 1.0 0.35 0.10 0.04 USA, Georgia, Atlanta: White 44 1.0 0.16 0.12 0.02 58 1.1 0.15 0.14 0.02 USA, Georgia, Atlanta: Black 23 1.2 0.28 0.14 0.04 11 0.6 0.18 0.08 0.03 USA, Iowa 52 0.5 0.08 0.06 0.01 95 0.7 0.09 0.09 0.01 USA, Louisiana, Central Region: White 8 1.1 0.42 0.16 0.06 7 0.8 0.34 0.08 0.04 USA, Louisiana, Central Region: Black 1 0.8 0.78 0.08 0.08 1 0.2 0.22 - - USA, Louisiana, New Orleans: White 19 1.0 0.23 0.10 0.03 24 0.8 0.19 0.10 0.03 USA, Louisiana, New Orleans: Black 8 1.1 0.40 0.16 0.06 13 1.2 0.35 0.16 0.05 USA, Michigan, Detroit: White 62 0.6 0.08 0.08 0.01 99 0.8 0.09 0.09 0.01 USA, Michigan, Detroit: Black 20 0.9 0.20 0.09 0.02 37 1.1 0.19 0.12 0.02 USA, New Jersey: White 145 0.7 0.06 0.08 0.01 236 0.8 0.06 0.09 0.01 USA, New Jersey: Black 29 1.1 0.20 0.10 0.02 36 1.0 0.17 0.12 0.03 USA, New Mexico: Non-Hispanic White 23 0.7 0.14 0.10 0.02 40 1.1 0.18 0.13 0.03 USA, New Mexico: Hispanic White 6 0.4 0.16 0.04 0.02 4 0.3 0.13 0.05 0.02 USA, New Mexico: American Indian 0 - - - - 1 0.4 0.35 0.09 0.09 USA, New York State: White 287 0.6 0.04 0.07 0.00 439 0.7 0.04 0.08 0.00 USA, New York State: Black 58 0.8 0.11 0.10 0.02 85 0.8 0.09 0.09 0.01 USA, Utah 28 0.6 0.12 0.08 0.02 39 0.7 0.12 0.09 0.02 USA, Washington, Seattle 82 0.7 0.08 0.09 0.01 160 1.2 0.10 0.15 0.01 USA, SEER: White 449 0.7 0.03 0.09 0.00 701 0.9 0.04 0.11 0.01 USA, SEER: Black 75 1.1 0.14 0.12 0.02 68 0.9 0.11 0.10 0.02

Asia*China, Beijing 6 0.1 0.03 0.01 0.00 11 0.1 0.04 0.01 0.00

+*China, Changle *China, Cixian *China, Hong Kong *China, Jiashan 3 0.3 0.15 0.01 0.01 2 0.2 0.12 0.03 0.02

+*China, Qidong County 3 0.1 0.05 0.02 0.01 4 0.1 0.06 0.01 0.01+*China, Shanghai 52 0.2 0.03 0.02 0.00 56 0.2 0.03 0.03 0.00

*China, Taiwan 102 0.8 0.09 0.09 0.01 76 0.7 0.08 0.07 0.01*China, Tianjin 29 0.2 0.04 0.03 0.01 27 0.2 0.04 0.03 0.01+China, Wuhan 46 0.4 0.07 0.06 0.01 107 1.0 0.10 0.13 0.01

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rates and standard errorsAnus (C21) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 32 0.5 0.09 0.05 0.01 16 0.3 0.07 0.03 0.01*India, Bangalore 37 0.4 0.07 0.04 0.01 34 0.5 0.09 0.06 0.01 India, Chennai (Madras) 44 0.5 0.08 0.06 0.01 32 0.4 0.08 0.05 0.01*India, Delhi 118 0.9 0.09 0.10 0.01 45 0.4 0.07 0.04 0.01*India, Karunagappally 2 0.2 0.16 0.03 0.02 2 0.2 0.14 0.04 0.03 India, Mumbai (Bombay) 74 0.4 0.05 0.05 0.01 61 0.4 0.05 0.04 0.01*India, Nagpur 17 0.9 0.21 0.09 0.02 7 0.4 0.17 0.05 0.02*India, Poona 23 0.6 0.12 0.07 0.02 14 0.4 0.10 0.04 0.01*India, Trivandrum 1 0.0 0.04 0.01 0.01 5 0.2 0.09 0.01 0.01 Israel: Jews 56 0.4 0.06 0.05 0.01 84 0.5 0.06 0.06 0.01 Israel: Jews born in Israel 7 0.2 0.10 0.02 0.01 13 0.8 0.24 0.07 0.03 Israel: Jews born in Europe or America 28 0.3 0.07 0.04 0.01 50 0.5 0.08 0.06 0.01 Israel: Jews born in Africa or Asia 21 0.6 0.12 0.06 0.02 21 0.5 0.12 0.05 0.01 Israel: Non-Jews 4 0.3 0.15 0.03 0.02 0 - - - - Japan, Hiroshima 4 0.1 0.06 0.01 0.01 11 0.3 0.08 0.05 0.01*Japan, Miyagi Prefecture 20 0.2 0.05 0.03 0.01 11 0.1 0.03 0.01 0.00*Japan, Nagasaki Prefecture 9 0.1 0.04 0.01 0.00 24 0.2 0.05 0.03 0.01*Japan, Osaka Prefecture 66 0.2 0.03 0.02 0.00 83 0.2 0.02 0.02 0.00*Japan, Saga Prefecture 8 0.2 0.07 0.03 0.01 18 0.3 0.09 0.04 0.01*Japan, Yamagata Prefecture 13 0.2 0.06 0.03 0.01 9 0.1 0.04 0.01 0.01*Korea, Busan 12 0.4 0.12 0.05 0.02 11 0.3 0.09 0.03 0.01*Korea, Daegu 3 0.2 0.14 0.01 0.01 7 0.3 0.11 0.03 0.01*Korea, Kangwha County 1 0.4 0.37 0.09 0.09 4 1.1 0.57 0.17 0.10*Korea, Seoul 195 1.2 0.10 0.14 0.01 232 1.0 0.07 0.11 0.01*Kuwait: Kuwaitis 1 0.2 0.16 0.02 0.02 2 0.3 0.21 0.03 0.02*Kuwait: Non-Kuwaitis 1 0.0 0.04 0.00 0.00 3 0.3 0.18 0.03 0.02*Oman: Omani 8 0.4 0.16 0.07 0.03 2 0.2 0.11 0.02 0.02*Pakistan, South Karachi 14 1.0 0.27 0.11 0.04 3 0.2 0.14 0.03 0.02*Philippines, Manila 17 0.3 0.07 0.03 0.01 13 0.2 0.05 0.03 0.01*Philippines, Rizal 16 0.2 0.07 0.03 0.01 21 0.3 0.07 0.04 0.01 Singapore: Chinese 18 0.4 0.09 0.05 0.01 28 0.4 0.07 0.02 0.01 Singapore: Indian 2 0.3 0.24 0.04 0.03 1 0.2 0.23 0.03 0.03 Singapore: Malay 2 0.2 0.14 0.04 0.03 2 0.3 0.23 - - *Thailand, Bangkok 11 0.2 0.05 0.02 0.01 17 0.2 0.05 0.03 0.01*Thailand, Chiang Mai 6 0.2 0.07 0.02 0.01 9 0.2 0.08 0.03 0.01*Thailand, Khon Kaen 5 0.2 0.07 0.02 0.01 6 0.2 0.07 0.01 0.01*Thailand, Lampang 2 0.1 0.08 0.02 0.02 5 0.2 0.11 0.02 0.01*Thailand, Songkhla 5 0.3 0.13 0.04 0.02 2 0.1 0.07 0.01 0.01*Viet Nam, Hanoi 7 0.2 0.07 - - 5 0.1 0.04 - - *Viet Nam, Ho Chi Minh City 32 0.6 0.10 0.07 0.02 36 0.4 0.07 0.05 0.01

Europe Austria, Tyrol 16 0.8 0.19 0.06 0.02 43 1.2 0.21 0.13 0.03 Austria, Vorarlberg 5 0.5 0.21 0.05 0.03 17 1.0 0.26 0.11 0.04

+*Belarus 803 2.9 0.10 0.35 0.01 893 1.8 0.07 0.23 0.01*Belgium, Flanders, (excl. Limburg) 32 0.4 0.08 0.05 0.01 38 0.3 0.06 0.04 0.01*Belgium, Limburg 7 0.7 0.27 0.08 0.03 2 0.1 0.11 0.01 0.01*Croatia 28 0.2 0.03 0.03 0.01 40 0.2 0.03 0.03 0.00 Czech Republic 235 0.7 0.05 0.07 0.01 270 0.6 0.04 0.06 0.00 Denmark 133 0.6 0.06 0.07 0.01 258 1.1 0.07 0.12 0.01 Estonia 21 0.5 0.10 0.05 0.01 35 0.5 0.08 0.06 0.01 Finland 43 0.2 0.04 0.03 0.01 91 0.3 0.04 0.04 0.01 France, Bas-Rhin 15 0.5 0.12 0.06 0.02 31 0.7 0.14 0.09 0.02*France, Calvados 20 0.9 0.21 0.14 0.03 41 1.4 0.24 0.17 0.03 France, Cote d’Or 7 0.4 0.16 0.04 0.02 25 0.9 0.21 0.10 0.03 France, Doubs 10 0.6 0.20 0.06 0.02 21 0.8 0.20 0.10 0.03 France, Haut-Rhin 13 0.6 0.17 0.09 0.02 38 1.2 0.21 0.12 0.03*France, Herault 25 0.7 0.15 0.07 0.02 60 1.3 0.19 0.15 0.03 France, Isere 22 0.6 0.14 0.07 0.02 73 1.6 0.20 0.18 0.03*France, Manche 7 0.4 0.17 0.05 0.02 17 0.9 0.25 0.11 0.03*France, Somme 14 0.7 0.19 0.08 0.03 26 1.0 0.24 0.11 0.03 France, Tarn 13 0.8 0.26 0.08 0.03 16 0.9 0.26 0.10 0.03 Germany, Saarland 26 0.6 0.13 0.06 0.02 37 0.5 0.10 0.05 0.01 Iceland 1 0.2 0.16 0.02 0.02 6 0.7 0.31 0.08 0.04 Ireland 39 0.4 0.07 0.05 0.01 45 0.4 0.07 0.04 0.01 Italy, Biella Province 4 0.8 0.38 0.11 0.06 6 0.5 0.25 0.07 0.04 Italy, Ferrara Province 18 1.2 0.29 0.11 0.03 14 0.4 0.13 0.05 0.02*Italy, Florence 38 0.7 0.12 0.07 0.02 78 1.1 0.14 0.12 0.02 Italy, Genoa Province 35 0.9 0.16 0.10 0.02 49 0.9 0.15 0.09 0.02 Italy, Liguria Italy, Macerata Province 0 - - - - 1 0.0 0.02 - - Italy, Modena Province 9 0.3 0.11 0.04 0.02 23 0.6 0.15 0.05 0.02 Italy, North East 57 1.0 0.14 0.11 0.02 101 1.1 0.14 0.11 0.02

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rates and standard errorsAnus (C21) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 14 0.6 0.20 0.07 0.03 21 0.8 0.21 0.12 0.03*Italy, Ragusa Province 4 0.3 0.17 0.04 0.02 5 0.3 0.13 0.05 0.03 Italy, Romagna 33 0.8 0.14 0.08 0.02 43 0.7 0.13 0.08 0.02 Italy, Sassari 2 0.1 0.07 0.01 0.01 9 0.4 0.14 0.06 0.02 Italy, Torino 33 0.9 0.17 0.07 0.02 64 1.1 0.16 0.13 0.02 Italy, Umbria 18 0.7 0.18 0.07 0.02 25 0.7 0.16 0.06 0.02 Italy, Varese Province 16 0.4 0.11 0.05 0.02 28 0.6 0.13 0.07 0.02 Italy, Venetian Region 73 1.1 0.14 0.11 0.02 97 0.9 0.11 0.08 0.01*Latvia 55 0.7 0.10 0.09 0.01 72 0.5 0.06 0.06 0.01 Lithuania 63 0.6 0.07 0.07 0.01 55 0.3 0.04 0.04 0.01 Malta 13 1.0 0.29 0.10 0.04 5 0.3 0.16 0.03 0.02 The Netherlands 152 0.3 0.02 0.03 0.00 243 0.4 0.03 0.04 0.00 The Netherlands, Eindhoven 13 0.4 0.11 0.05 0.02 13 0.3 0.10 0.04 0.01 The Netherlands, Maastricht 17 0.6 0.14 0.06 0.02 20 0.5 0.11 0.05 0.02 Norway 85 0.5 0.06 0.06 0.01 177 0.9 0.08 0.10 0.01*Poland, Cracow 2 0.1 0.06 0.00 0.00 3 0.1 0.08 0.01 0.01*Poland, Kielce 146 5.1 0.43 0.64 0.06 166 4.1 0.34 0.49 0.05*Poland, Lower Silesia 113 1.4 0.13 0.14 0.02 114 0.9 0.09 0.10 0.01 Poland, Warsaw City 45 0.8 0.12 0.08 0.02 73 0.8 0.10 0.10 0.01*Portugal, Vila Nova de Gaia 1 0.1 0.12 0.01 0.01 3 0.3 0.17 0.04 0.03*Russia, St Petersburg 28 0.3 0.05 0.03 0.01 64 0.3 0.05 0.04 0.01 Slovakia 77 0.5 0.06 0.06 0.01 73 0.3 0.04 0.04 0.01 Slovenia 30 0.5 0.09 0.06 0.01 34 0.4 0.06 0.04 0.01 Spain, Albacete 2 0.1 0.09 0.01 0.01 2 0.1 0.10 0.02 0.01 Spain, Asturias 41 1.2 0.19 0.14 0.03 37 0.7 0.13 0.07 0.02*Spain, Canary Islands 9 0.4 0.13 0.07 0.02 6 0.2 0.08 0.02 0.01 Spain, Cuenca 8 1.1 0.44 0.14 0.05 5 0.4 0.21 0.06 0.03 Spain, Girona 4 0.4 0.21 0.05 0.03 8 0.4 0.16 0.03 0.02 Spain, Granada 16 0.5 0.14 0.08 0.02 13 0.3 0.10 0.04 0.01 Spain, Mallorca 24 1.3 0.29 0.15 0.04 19 0.7 0.18 0.09 0.03 Spain, Murcia 8 0.2 0.09 0.03 0.01 10 0.2 0.08 0.02 0.01 Spain, Navarra 8 0.3 0.13 0.03 0.01 8 0.3 0.11 0.03 0.01 Spain, Tarragona 12 0.5 0.16 0.06 0.02 12 0.3 0.10 0.03 0.02*Spain, Zaragoza 7 0.2 0.06 0.02 0.01 11 0.2 0.09 0.02 0.01 Sweden 163 0.4 0.04 0.05 0.00 324 0.7 0.05 0.08 0.01 Switzerland, Basel 11 0.7 0.22 0.09 0.03 28 1.2 0.25 0.12 0.03 Switzerland, Geneva 16 1.1 0.27 0.12 0.03 47 2.3 0.37 0.22 0.05 Switzerland, Graubunden and Glarus 4 0.3 0.19 0.02 0.02 7 0.7 0.32 0.06 0.03 Switzerland, Neuchatel 6 1.3 0.53 0.22 0.09 16 2.2 0.64 0.24 0.08 Switzerland, St Gall-Appenzell 5 0.3 0.13 0.04 0.02 20 1.0 0.24 0.10 0.03*Switzerland, Ticino 1 0.1 0.13 - - 10 1.2 0.45 0.10 0.05 Switzerland, Valais 2 0.2 0.11 0.02 0.02 6 0.7 0.28 0.07 0.03 Switzerland, Vaud 14 0.6 0.18 0.07 0.03 42 1.7 0.29 0.20 0.04 Switzerland, Zurich 17 0.5 0.13 0.05 0.02 61 1.3 0.19 0.16 0.03*UK, England 1127 0.6 0.02 0.07 0.00 1659 0.7 0.02 0.08 0.00 UK, England, East Anglia 43 0.5 0.08 0.05 0.01 87 0.8 0.10 0.09 0.01 UK, England, Merseyside and Cheshire 51 0.5 0.08 0.05 0.01 74 0.7 0.08 0.08 0.01 UK, England, North Western 84 0.6 0.07 0.07 0.01 146 0.8 0.07 0.08 0.01 UK, England, Oxford Region 49 0.5 0.07 0.06 0.01 84 0.7 0.08 0.08 0.01*UK, England, South Thames 180 0.7 0.06 0.08 0.01 258 0.8 0.05 0.09 0.01*UK, England, South and Western Regions 180 0.6 0.05 0.07 0.01 270 0.8 0.05 0.09 0.01 UK, England, Trent 111 0.6 0.06 0.07 0.01 133 0.6 0.06 0.06 0.01*UK, England, West Midlands Region 107 0.5 0.05 0.06 0.01 140 0.5 0.05 0.06 0.01 UK, England, Yorkshire 81 0.6 0.07 0.06 0.01 137 0.8 0.07 0.09 0.01 UK, Northern Ireland 22 0.4 0.10 0.05 0.01 42 0.6 0.11 0.07 0.01 UK, Scotland 141 0.7 0.07 0.09 0.01 177 0.7 0.06 0.08 0.01*Yugoslavia, Vojvodina 103 1.3 0.13 0.16 0.02 79 0.8 0.09 0.09 0.01

Oceania Australia, Capital Territory 3 0.5 0.28 0.05 0.04 4 0.5 0.27 0.04 0.03 Australia, New South Wales 178 0.9 0.07 0.10 0.01 225 0.9 0.06 0.09 0.01 Australia, Northern Territory 3 0.8 0.51 0.10 0.08 4 1.1 0.65 0.18 0.14 Australia, Queensland 94 0.9 0.10 0.10 0.01 92 0.8 0.08 0.10 0.01 Australia, South 16 0.3 0.08 0.04 0.01 34 0.5 0.09 0.05 0.01 Australia, Tasmania 7 0.4 0.16 0.06 0.03 12 0.6 0.18 0.08 0.03 Australia, Victoria 82 0.6 0.06 0.06 0.01 94 0.5 0.06 0.07 0.01 Australia, Western 40 0.7 0.12 0.09 0.02 35 0.6 0.10 0.07 0.01 New Zealand 92 0.8 0.09 0.10 0.01 118 0.9 0.09 0.10 0.01 USA, Hawaii: White 8 1.0 0.34 0.11 0.04 8 0.8 0.29 0.11 0.04 USA, Hawaii: Chinese 0 - - - - 1 0.2 0.18 - - USA, Hawaii: Filipino 0 - - - - 2 0.3 0.21 0.04 0.04 USA, Hawaii: Hawaiian 6 1.3 0.52 0.13 0.07 5 1.0 0.44 0.19 0.09 USA, Hawaii: Japanese 4 0.3 0.17 0.04 0.02 4 0.2 0.09 0.02 0.01

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rates and standard errorsLiver (C22)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 34 0.9 0.16 0.08 0.02 34 0.9 0.16 0.12 0.03*France, La Reunion 18 3.5 0.84 0.47 0.13 10 1.6 0.52 0.19 0.07*The Gambia 257 48.9 3.25 - - 91 17.6 2.08 - - *Mali, Bamako 197 31.2 2.46 3.42 0.32 67 14.7 1.91 1.77 0.26*Uganda, Kyadondo County 74 6.5 0.98 0.84 0.16 59 6.0 0.94 0.70 0.13*Zimbabwe, Harare: African 354 27.9 1.80 3.71 0.32 106 11.6 1.34 1.52 0.23

America, Central and South*Argentina, Bahia Blanca 53 4.7 0.65 0.51 0.09 42 2.9 0.46 0.39 0.07*Argentina, Concordia 8 2.6 0.93 0.30 0.13 11 2.7 0.85 0.30 0.12*Brazil, Campinas 23 1.5 0.32 0.22 0.05 12 0.6 0.17 0.06 0.02*Brazil, Goiania 42 3.7 0.60 0.52 0.10 34 2.5 0.43 0.31 0.07 Colombia, Cali 81 3.0 0.34 0.38 0.06 85 2.5 0.28 0.30 0.04*Costa Rica 136 5.4 0.48 0.67 0.07 95 3.4 0.37 0.40 0.06*Cuba, Villa Clara 62 3.5 0.46 0.37 0.06 58 3.2 0.44 0.34 0.06*Ecuador, Quito 76 3.6 0.43 0.36 0.06 93 3.5 0.38 0.40 0.06*France, Martinique 30 2.8 0.54 0.26 0.06 25 1.8 0.38 0.24 0.06*USA, Puerto Rico 221 5.4 0.38 0.59 0.05 130 2.5 0.24 0.30 0.04*Uruguay, Montevideo 54 2.1 0.30 0.30 0.05 24 0.6 0.14 0.06 0.02

America, North Canada 3348 3.6 0.06 0.44 0.01 1530 1.3 0.04 0.14 0.00 Canada, Alberta 280 3.7 0.23 0.44 0.03 128 1.4 0.13 0.16 0.02 Canada, British Columbia 546 4.4 0.19 0.52 0.03 245 1.4 0.11 0.15 0.01 Canada, Manitoba 116 2.9 0.29 0.36 0.04 59 1.1 0.18 0.12 0.02 Canada, New Brunswick 62 2.5 0.34 0.31 0.05 31 1.0 0.20 0.12 0.03 Canada, Newfoundland 31 1.7 0.31 0.19 0.04 14 0.8 0.25 0.08 0.03 Canada, Northwest Territories 17 6.4 1.64 0.49 0.21 3 1.3 0.78 0.09 0.08 Canada, Nova Scotia 84 2.6 0.30 0.32 0.04 45 1.0 0.18 0.09 0.02 Canada, Ontario 1211 3.5 0.10 0.44 0.01 490 1.1 0.06 0.13 0.01 Canada, Prince Edward Island 4 1.0 0.50 0.14 0.07 5 1.2 0.67 0.09 0.05+Canada, Quebec 918 4.0 0.13 0.50 0.02 465 1.5 0.07 0.17 0.01 Canada, Saskatchewan 88 2.4 0.28 0.26 0.04 44 0.9 0.16 0.09 0.02 Canada, Yukon 3 1.5 0.91 0.06 0.04 2 1.6 1.15 0.14 0.12 USA, California, Los Angeles: Non-Hispanic White 536 3.9 0.18 0.47 0.02 301 1.6 0.11 0.18 0.01 USA, California, Los Angeles: Hispanic White 378 10.6 0.56 1.29 0.09 186 3.8 0.28 0.44 0.04 USA, California, Los Angeles: Black 150 6.5 0.54 0.75 0.07 72 2.0 0.25 0.21 0.03 USA, California, Los Angeles: Chinese 137 16.2 1.42 1.98 0.20 51 5.0 0.72 0.66 0.12 USA, California, Los Angeles: Filipino 72 10.9 1.35 1.35 0.22 21 2.4 0.57 0.19 0.06 USA, California, Los Angeles: Japanese 30 5.5 1.07 0.71 0.15 30 4.3 0.86 0.57 0.12 USA, California, Los Angeles: Korean 89 20.7 2.28 2.42 0.32 58 10.4 1.40 1.23 0.20 USA, California, San Francisco: Non-Hispanic White 381 4.8 0.26 0.60 0.04 142 1.3 0.13 0.16 0.02 USA, California, San Francisco: Hispanic White 92 9.2 0.98 1.11 0.14 42 3.0 0.48 0.31 0.06 USA, California, San Francisco: Black 98 8.8 0.91 1.10 0.13 39 2.7 0.46 0.30 0.06 USA, Connecticut: White 454 4.4 0.22 0.56 0.03 204 1.3 0.11 0.15 0.02 USA, Connecticut: Black 33 5.6 0.98 0.64 0.13 13 1.4 0.40 0.14 0.06 USA, Georgia, Atlanta: White 151 3.6 0.30 0.43 0.05 82 1.3 0.16 0.13 0.02 USA, Georgia, Atlanta: Black 59 4.2 0.58 0.47 0.08 45 2.3 0.36 0.25 0.05 USA, Iowa 304 2.8 0.17 0.32 0.02 196 1.2 0.11 0.13 0.01 USA, Louisiana, Central Region: White 26 3.9 0.79 0.46 0.10 17 1.3 0.35 0.10 0.05 USA, Louisiana, Central Region: Black 4 2.7 1.34 0.38 0.20 3 1.2 0.75 0.15 0.10 USA, Louisiana, New Orleans: White 95 4.4 0.47 0.54 0.07 37 1.1 0.20 0.12 0.03 USA, Louisiana, New Orleans: Black 57 7.9 1.05 0.94 0.14 34 3.0 0.53 0.33 0.07 USA, Michigan, Detroit: White 371 3.6 0.20 0.41 0.03 231 1.6 0.12 0.18 0.02 USA, Michigan, Detroit: Black 182 7.8 0.59 0.89 0.08 69 1.8 0.23 0.20 0.03 USA, New Jersey: White 977 4.2 0.14 0.50 0.02 552 1.6 0.08 0.18 0.01 USA, New Jersey: Black 136 5.4 0.47 0.59 0.06 67 1.8 0.23 0.20 0.03 USA, New Mexico: Non-Hispanic White 106 3.2 0.33 0.39 0.05 60 1.4 0.20 0.16 0.03 USA, New Mexico: Hispanic White 128 8.4 0.76 1.03 0.11 62 3.3 0.43 0.40 0.07 USA, New Mexico: American Indian 28 12.0 2.38 1.33 0.32 17 5.3 1.38 0.67 0.21 USA, New York State: White 2286 4.6 0.10 0.55 0.01 1316 1.8 0.06 0.20 0.01 USA, New York State: Black 491 7.1 0.33 0.78 0.04 276 2.5 0.16 0.29 0.02 USA, Utah 120 2.5 0.24 0.32 0.03 80 1.3 0.15 0.16 0.02 USA, Washington, Seattle 522 4.6 0.21 0.55 0.03 252 1.8 0.13 0.19 0.02 USA, SEER: White 2505 3.8 0.08 0.46 0.01 1301 1.4 0.05 0.16 0.01 USA, SEER: Black 412 7.1 0.36 0.84 0.05 177 2.1 0.17 0.23 0.02

Asia*China, Beijing 1468 18.4 0.50 2.20 0.06 562 6.5 0.29 0.76 0.04

+*China, Changle *China, Cixian *China, Hong Kong 6421 35.0 0.44 4.15 0.06 1968 9.7 0.23 1.12 0.03*China, Jiashan 419 36.7 1.81 4.78 0.27 167 14.5 1.13 1.98 0.17

+*China, Qidong County 3038 95.7 1.77 9.99 0.21 1014 29.6 0.96 3.21 0.11+*China, Shanghai 5844 23.3 0.32 2.74 0.04 2452 9.0 0.19 1.08 0.03

*China, Taiwan 6066 51.9 0.69 6.18 0.09 2118 19.4 0.43 2.46 0.06*China, Tianjin 2582 22.8 0.46 2.82 0.06 1142 9.0 0.27 1.09 0.04+China, Wuhan 2800 25.9 0.51 3.05 0.07 863 7.8 0.27 0.96 0.04

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rates and standard errorsLiver (C22) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 114 1.9 0.19 0.26 0.03 31 0.5 0.10 0.05 0.01*India, Bangalore 208 2.7 0.19 0.36 0.03 82 1.1 0.13 0.13 0.02 India, Chennai (Madras) 218 2.8 0.20 0.37 0.03 80 1.1 0.12 0.13 0.02*India, Delhi 290 2.4 0.15 0.29 0.02 136 1.3 0.11 0.14 0.02*India, Karunagappally 33 3.6 0.65 0.43 0.10 3 0.3 0.19 0.06 0.04 India, Mumbai (Bombay) 662 3.9 0.16 0.48 0.02 285 2.0 0.12 0.25 0.02*India, Nagpur 37 1.9 0.33 0.19 0.04 11 0.6 0.18 0.05 0.02*India, Poona 164 4.1 0.34 0.48 0.05 52 1.3 0.19 0.16 0.03*India, Trivandrum 57 2.4 0.32 0.28 0.04 23 0.9 0.19 0.13 0.03 Israel: Jews 434 3.3 0.17 0.40 0.02 330 1.9 0.11 0.22 0.02 Israel: Jews born in Israel 36 1.4 0.31 0.13 0.04 27 1.0 0.25 0.09 0.03 Israel: Jews born in Europe or America 247 3.4 0.26 0.42 0.03 219 2.0 0.17 0.23 0.02 Israel: Jews born in Africa or Asia 151 3.8 0.32 0.49 0.05 84 1.8 0.20 0.21 0.03 Israel: Non-Jews 38 3.2 0.55 0.48 0.10 10 0.6 0.20 0.05 0.02 Japan, Hiroshima 1495 43.2 1.13 5.52 0.16 603 13.4 0.57 1.74 0.09*Japan, Miyagi Prefecture 1531 17.1 0.44 2.17 0.06 679 5.4 0.23 0.68 0.03*Japan, Nagasaki Prefecture 1941 30.7 0.72 3.97 0.10 815 8.4 0.32 1.05 0.05*Japan, Osaka Prefecture 14083 44.5 0.38 5.87 0.06 4900 11.9 0.18 1.56 0.03*Japan, Saga Prefecture 1398 38.4 1.06 4.85 0.15 650 11.5 0.50 1.46 0.07*Japan, Yamagata Prefecture 948 15.4 0.52 1.96 0.08 524 5.5 0.26 0.72 0.04*Korea, Busan 1831 59.4 1.52 7.40 0.23 642 17.1 0.68 2.14 0.10*Korea, Daegu 912 45.7 1.62 5.45 0.23 307 12.6 0.73 1.54 0.11*Korea, Kangwha County 78 32.6 3.76 4.07 0.50 26 8.9 1.87 0.96 0.22*Korea, Seoul 9201 46.5 0.53 5.71 0.08 3054 13.2 0.24 1.66 0.04*Kuwait: Kuwaitis 48 8.4 1.23 0.93 0.17 11 1.8 0.59 0.21 0.09*Kuwait: Non-Kuwaitis 64 8.3 1.97 0.60 0.17 10 1.6 0.75 0.10 0.06*Oman: Omani 109 5.6 0.55 0.69 0.08 43 2.2 0.35 0.29 0.06*Pakistan, South Karachi 80 5.9 0.70 0.80 0.11 42 3.7 0.60 0.47 0.09*Philippines, Manila 1430 23.3 0.68 2.76 0.10 516 7.4 0.34 0.89 0.05*Philippines, Rizal 1199 18.6 0.60 2.17 0.09 412 6.1 0.32 0.71 0.05 Singapore: Chinese 1116 21.2 0.65 2.52 0.10 343 5.1 0.29 0.59 0.04 Singapore: Indian 50 7.9 1.16 0.75 0.13 7 1.8 0.70 0.22 0.11 Singapore: Malay 123 16.0 1.47 1.95 0.21 26 3.3 0.66 0.46 0.10*Thailand, Bangkok 1005 14.4 0.47 1.63 0.06 315 3.9 0.23 0.46 0.03*Thailand, Chiang Mai 680 18.5 0.72 2.10 0.09 312 8.8 0.50 1.06 0.07*Thailand, Khon Kaen 2811 88.0 1.71 11.07 0.25 1240 35.4 1.02 4.54 0.15*Thailand, Lampang 558 28.6 1.23 3.41 0.17 297 14.4 0.85 1.85 0.12*Thailand, Songkhla 125 6.6 0.60 0.82 0.08 30 1.5 0.27 0.18 0.04*Viet Nam, Hanoi 882 20.0 0.69 - - 262 5.2 0.33 - - *Viet Nam, Ho Chi Minh City 1649 27.1 0.70 3.20 0.10 522 6.4 0.29 0.76 0.04

Europe Austria, Tyrol 118 5.5 0.52 0.76 0.08 68 1.9 0.26 0.20 0.04 Austria, Vorarlberg 59 5.9 0.77 0.73 0.11 24 1.8 0.40 0.26 0.06

+*Belarus 1180 4.2 0.12 0.52 0.02 824 1.8 0.07 0.22 0.01*Belgium, Flanders, (excl. Limburg) 267 3.1 0.20 0.36 0.03 203 1.7 0.15 0.15 0.02*Belgium, Limburg 30 3.0 0.61 0.32 0.07 21 1.6 0.36 0.23 0.06*Croatia 1040 6.7 0.21 0.83 0.03 751 3.2 0.12 0.39 0.02 Czech Republic 2510 7.3 0.15 0.90 0.02 1586 3.0 0.08 0.35 0.01 Denmark 757 3.7 0.14 0.46 0.02 489 1.8 0.09 0.21 0.01 Estonia 194 4.4 0.32 0.54 0.05 139 1.9 0.18 0.21 0.02 Finland 716 3.9 0.15 0.46 0.02 520 1.7 0.08 0.19 0.01 France, Bas-Rhin 371 12.0 0.63 1.60 0.10 89 1.9 0.22 0.23 0.03*France, Calvados 212 10.0 0.70 1.33 0.10 50 1.9 0.31 0.25 0.04 France, Cote d’Or 187 10.5 0.80 1.37 0.12 45 2.0 0.32 0.26 0.05 France, Doubs 159 9.3 0.75 1.15 0.11 24 1.1 0.24 0.12 0.03 France, Haut-Rhin 263 11.6 0.72 1.59 0.11 70 2.3 0.30 0.26 0.04*France, Herault 153 4.5 0.39 0.62 0.06 32 0.8 0.16 0.10 0.02 France, Isere 415 12.0 0.59 1.57 0.09 99 2.1 0.23 0.26 0.03*France, Manche 92 5.9 0.63 0.74 0.09 11 0.8 0.27 0.09 0.03*France, Somme 166 8.2 0.66 1.15 0.10 38 1.3 0.25 0.15 0.03 France, Tarn 71 3.9 0.50 0.52 0.08 23 1.4 0.45 0.13 0.04 Germany, Saarland 217 4.8 0.33 0.61 0.05 131 2.0 0.23 0.21 0.03 Iceland 30 3.3 0.63 0.32 0.08 12 1.1 0.33 0.15 0.06 Ireland 164 1.8 0.15 0.23 0.02 85 0.7 0.09 0.09 0.01 Italy, Biella Province 77 13.6 1.61 1.84 0.24 45 4.0 0.72 0.45 0.11 Italy, Ferrara Province 167 8.5 0.69 1.16 0.10 88 3.0 0.37 0.40 0.05*Italy, Florence 541 9.3 0.42 1.24 0.06 277 3.0 0.21 0.40 0.03 Italy, Genoa Province 443 11.1 0.56 1.41 0.08 267 4.4 0.41 0.47 0.04 Italy, Liguria Italy, Macerata Province 128 7.6 0.72 0.95 0.11 54 2.5 0.39 0.32 0.06 Italy, Modena Province 331 10.6 0.61 1.39 0.09 190 4.1 0.34 0.50 0.05 Italy, North East 1000 17.9 0.58 2.34 0.09 381 4.0 0.24 0.46 0.03

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rates and standard errorsLiver (C22) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 404 19.6 1.07 2.48 0.15 195 6.6 0.59 0.84 0.08*Italy, Ragusa Province 144 11.7 1.02 1.51 0.15 46 2.7 0.44 0.30 0.06 Italy, Romagna 351 7.3 0.41 0.95 0.06 173 2.6 0.26 0.30 0.03 Italy, Sassari 260 14.5 0.92 1.86 0.14 130 5.5 0.55 0.66 0.08 Italy, Torino 521 12.1 0.56 1.49 0.08 254 3.5 0.25 0.45 0.04 Italy, Umbria 264 9.7 0.64 1.23 0.09 137 3.7 0.38 0.39 0.05 Italy, Varese Province 480 14.5 0.67 1.85 0.10 164 2.8 0.25 0.32 0.04 Italy, Venetian Region 1167 18.3 0.56 2.35 0.08 539 5.1 0.25 0.65 0.04*Latvia 281 3.8 0.23 0.49 0.03 237 1.9 0.14 0.23 0.02 Lithuania 333 3.2 0.17 0.40 0.03 301 1.7 0.10 0.20 0.01 Malta 20 1.6 0.37 0.18 0.05 17 1.1 0.28 0.12 0.04 The Netherlands 853 1.6 0.06 0.20 0.01 476 0.7 0.04 0.09 0.00 The Netherlands, Eindhoven 45 1.4 0.20 0.17 0.03 29 0.7 0.15 0.08 0.02 The Netherlands, Maastricht 60 1.9 0.26 0.23 0.04 27 0.6 0.13 0.07 0.02 Norway 282 1.7 0.11 0.20 0.01 196 0.9 0.08 0.09 0.01*Poland, Cracow 84 3.8 0.43 0.46 0.06 110 2.9 0.29 0.35 0.04*Poland, Kielce 67 2.3 0.28 0.29 0.04 74 1.6 0.20 0.19 0.03*Poland, Lower Silesia 427 5.3 0.26 0.67 0.04 426 3.5 0.18 0.42 0.02 Poland, Warsaw City 236 4.1 0.28 0.48 0.04 243 2.5 0.17 0.28 0.02*Portugal, Vila Nova de Gaia 48 6.2 0.89 0.82 0.13 26 2.5 0.52 0.34 0.09*Russia, St Petersburg 481 4.6 0.22 0.55 0.03 426 2.0 0.10 0.23 0.01 Slovakia 1048 7.0 0.22 0.88 0.03 724 3.4 0.13 0.38 0.02 Slovenia 263 4.3 0.26 0.53 0.04 156 1.5 0.13 0.19 0.02 Spain, Albacete 87 5.7 0.64 0.77 0.10 49 2.2 0.34 0.23 0.05 Spain, Asturias 266 7.0 0.45 0.92 0.06 92 1.6 0.18 0.20 0.03*Spain, Canary Islands 196 8.1 0.59 0.97 0.09 101 3.3 0.34 0.44 0.06 Spain, Cuenca 59 4.8 0.69 0.58 0.10 44 3.3 0.67 0.30 0.07 Spain, Girona 131 9.8 0.91 1.27 0.13 45 2.5 0.42 0.37 0.07 Spain, Granada 232 7.8 0.53 1.07 0.08 109 2.4 0.26 0.28 0.04 Spain, Mallorca 138 7.7 0.68 1.04 0.10 78 2.9 0.37 0.32 0.05 Spain, Murcia 186 6.5 0.49 0.89 0.07 88 2.1 0.24 0.22 0.03 Spain, Navarra 196 8.4 0.63 0.97 0.09 85 2.5 0.31 0.27 0.04 Spain, Tarragona 157 6.6 0.56 0.81 0.08 85 2.7 0.33 0.35 0.05*Spain, Zaragoza 225 6.1 0.44 0.77 0.06 117 2.3 0.27 0.25 0.03 Sweden 1668 4.1 0.11 0.49 0.02 1240 2.3 0.08 0.28 0.01 Switzerland, Basel 101 5.4 0.57 0.72 0.09 39 1.6 0.32 0.18 0.04 Switzerland, Geneva 143 9.0 0.79 1.18 0.12 43 2.2 0.37 0.24 0.05 Switzerland, Graubunden and Glarus 45 5.5 0.86 0.67 0.12 24 2.1 0.49 0.26 0.07 Switzerland, Neuchatel 43 8.6 1.36 1.08 0.19 19 2.1 0.57 0.22 0.08 Switzerland, St Gall-Appenzell 89 5.2 0.58 0.63 0.08 38 1.3 0.24 0.14 0.03*Switzerland, Ticino 59 12.5 1.72 1.66 0.25 11 1.4 0.51 0.14 0.06 Switzerland, Valais 135 14.7 1.31 2.06 0.20 24 1.8 0.39 0.23 0.06 Switzerland, Vaud 132 7.5 0.68 0.94 0.10 45 1.9 0.34 0.20 0.04 Switzerland, Zurich 211 6.0 0.43 0.73 0.06 73 1.5 0.21 0.19 0.03*UK, England 4676 2.5 0.04 0.29 0.01 3176 1.2 0.02 0.13 0.00 UK, England, East Anglia 129 1.5 0.14 0.19 0.02 105 0.9 0.10 0.09 0.01 UK, England, Merseyside and Cheshire 242 2.6 0.18 0.33 0.02 184 1.4 0.12 0.17 0.02 UK, England, North Western 461 3.1 0.15 0.37 0.02 351 1.7 0.11 0.19 0.01 UK, England, Oxford Region 185 2.0 0.16 0.25 0.02 122 1.0 0.10 0.11 0.01*UK, England, South Thames 577 2.3 0.10 0.26 0.01 361 0.9 0.06 0.11 0.01*UK, England, South and Western Regions 729 2.6 0.10 0.30 0.01 541 1.3 0.07 0.15 0.01 UK, England, Trent 421 2.2 0.11 0.26 0.02 326 1.2 0.08 0.15 0.01*UK, England, West Midlands Region 415 2.0 0.10 0.24 0.01 197 0.7 0.06 0.09 0.01 UK, England, Yorkshire 342 2.3 0.13 0.29 0.02 219 1.0 0.09 0.11 0.01 UK, Northern Ireland 149 2.8 0.24 0.29 0.03 137 1.6 0.16 0.20 0.02 UK, Scotland 677 3.6 0.14 0.43 0.02 412 1.5 0.09 0.17 0.01*Yugoslavia, Vojvodina 317 4.1 0.24 0.56 0.03 237 2.5 0.17 0.32 0.02

Oceania Australia, Capital Territory 20 2.7 0.61 0.36 0.10 9 1.2 0.43 0.11 0.05 Australia, New South Wales 734 3.7 0.14 0.47 0.02 251 1.0 0.07 0.12 0.01 Australia, Northern Territory 26 8.6 1.83 1.14 0.30 4 1.9 0.96 0.27 0.17 Australia, Queensland 303 2.8 0.17 0.36 0.02 115 0.9 0.10 0.10 0.01 Australia, South 130 2.4 0.22 0.31 0.03 57 0.9 0.13 0.11 0.02 Australia, Tasmania 38 2.3 0.39 0.27 0.06 17 1.1 0.30 0.13 0.04 Australia, Victoria 525 3.5 0.16 0.46 0.02 194 1.1 0.08 0.14 0.01 Australia, Western 176 3.5 0.27 0.43 0.04 65 1.1 0.15 0.13 0.02 New Zealand 417 3.8 0.19 0.45 0.03 213 1.5 0.12 0.18 0.02 USA, Hawaii: White 47 5.0 0.76 0.66 0.11 18 1.5 0.39 0.14 0.05 USA, Hawaii: Chinese 18 7.2 1.85 0.80 0.23 17 4.8 1.33 0.50 0.17 USA, Hawaii: Filipino 55 9.9 1.43 1.16 0.19 12 2.0 0.59 0.16 0.07 USA, Hawaii: Hawaiian 45 9.9 1.51 1.24 0.21 17 3.1 0.78 0.26 0.09 USA, Hawaii: Japanese 89 6.2 0.74 0.77 0.10 54 3.4 0.61 0.43 0.07

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsGallbladder etc. (C23-24)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 53 1.5 0.21 0.20 0.03 204 5.3 0.38 0.67 0.06*France, La Reunion 8 1.5 0.55 0.20 0.08 16 2.5 0.65 0.34 0.11*The Gambia 0 - - - - 0 - - - - *Mali, Bamako 2 0.4 0.31 0.04 0.04 2 0.6 0.45 0.08 0.06*Uganda, Kyadondo County 0 - - - - 1 0.1 0.13 0.01 0.01*Zimbabwe, Harare: African 7 0.6 0.26 0.06 0.03 10 1.3 0.48 0.23 0.10

America, Central and South*Argentina, Bahia Blanca 38 3.3 0.55 0.35 0.08 50 3.1 0.47 0.32 0.06*Argentina, Concordia 13 4.2 1.16 0.43 0.16 15 3.8 1.00 0.53 0.16*Brazil, Campinas 15 1.0 0.27 0.16 0.05 45 2.4 0.36 0.30 0.05*Brazil, Goiania 32 3.0 0.54 0.37 0.08 45 3.1 0.47 0.39 0.07 Colombia, Cali 69 2.6 0.32 0.33 0.05 210 6.6 0.47 0.89 0.07*Costa Rica 49 2.0 0.30 0.26 0.05 108 4.1 0.40 0.48 0.06*Cuba, Villa Clara 16 0.9 0.25 0.14 0.04 36 1.8 0.32 0.19 0.05*Ecuador, Quito 75 3.7 0.43 0.36 0.06 219 8.9 0.62 1.06 0.09*France, Martinique 11 1.0 0.32 0.12 0.04 23 1.7 0.38 0.21 0.05*USA, Puerto Rico 49 1.2 0.17 0.13 0.03 91 1.9 0.21 0.25 0.03*Uruguay, Montevideo 101 3.7 0.38 0.44 0.06 209 4.5 0.34 0.50 0.05

America, North Canada 1743 1.8 0.04 0.20 0.01 2450 1.8 0.04 0.20 0.01 Canada, Alberta 118 1.4 0.13 0.16 0.02 177 1.8 0.15 0.20 0.02 Canada, British Columbia 221 1.6 0.11 0.19 0.02 264 1.5 0.10 0.17 0.01 Canada, Manitoba 86 2.0 0.23 0.22 0.03 151 2.6 0.25 0.29 0.04 Canada, New Brunswick 32 1.3 0.23 0.17 0.04 53 1.5 0.23 0.16 0.03 Canada, Newfoundland 18 0.9 0.21 0.09 0.03 29 1.5 0.29 0.20 0.05 Canada, Northwest Territories 7 2.3 0.94 0.27 0.16 12 5.9 1.81 0.89 0.32 Canada, Nova Scotia 57 1.7 0.24 0.20 0.03 62 1.3 0.19 0.15 0.03 Canada, Ontario 672 1.8 0.07 0.22 0.01 881 1.8 0.06 0.20 0.01 Canada, Prince Edward Island 5 1.2 0.56 0.19 0.09 12 2.0 0.65 0.26 0.10+Canada, Quebec 458 1.9 0.09 0.21 0.01 719 2.1 0.08 0.23 0.01 Canada, Saskatchewan 75 1.9 0.24 0.23 0.03 95 1.6 0.20 0.17 0.03 Canada, Yukon 2 1.5 1.03 0.08 0.08 4 3.0 1.54 0.34 0.21 USA, California, Los Angeles: Non-Hispanic White 214 1.4 0.10 0.16 0.01 319 1.4 0.10 0.16 0.01 USA, California, Los Angeles: Hispanic White 112 3.2 0.31 0.36 0.05 244 5.2 0.34 0.64 0.05 USA, California, Los Angeles: Black 37 1.5 0.25 0.15 0.04 61 1.6 0.22 0.18 0.03 USA, California, Los Angeles: Chinese 23 2.6 0.54 0.43 0.10 19 1.9 0.43 0.22 0.07 USA, California, Los Angeles: Filipino 9 1.4 0.49 0.21 0.09 16 2.0 0.54 0.18 0.06 USA, California, Los Angeles: Japanese 11 2.2 0.67 0.16 0.06 16 2.3 0.62 0.19 0.07 USA, California, Los Angeles: Korean 27 7.3 1.52 0.71 0.18 18 2.8 0.68 0.29 0.09 USA, California, San Francisco: Non-Hispanic White 108 1.3 0.13 0.15 0.02 132 1.1 0.12 0.13 0.02 USA, California, San Francisco: Hispanic White 20 2.0 0.45 0.25 0.07 29 2.2 0.42 0.26 0.06 USA, California, San Francisco: Black 11 1.0 0.30 0.14 0.05 24 1.5 0.32 0.15 0.04 USA, Connecticut: White 193 1.6 0.12 0.16 0.02 240 1.3 0.10 0.16 0.02 USA, Connecticut: Black 7 1.2 0.47 0.19 0.08 11 1.2 0.40 0.11 0.05 USA, Georgia, Atlanta: White 50 1.2 0.17 0.13 0.03 85 1.4 0.16 0.17 0.03 USA, Georgia, Atlanta: Black 13 1.0 0.30 0.15 0.05 34 1.8 0.33 0.19 0.04 USA, Iowa 168 1.5 0.12 0.15 0.02 297 1.8 0.12 0.22 0.02 USA, Louisiana, Central Region: White 13 1.5 0.45 0.22 0.08 19 1.7 0.42 0.24 0.07 USA, Louisiana, Central Region: Black 2 0.9 0.63 0.13 0.13 1 0.5 0.54 0.07 0.07 USA, Louisiana, New Orleans: White 39 1.6 0.27 0.17 0.04 58 1.7 0.25 0.24 0.04 USA, Louisiana, New Orleans: Black 17 2.2 0.53 0.26 0.08 22 1.7 0.39 0.16 0.05 USA, Michigan, Detroit: White 195 1.8 0.13 0.21 0.02 245 1.6 0.11 0.19 0.02 USA, Michigan, Detroit: Black 41 1.7 0.27 0.19 0.04 48 1.3 0.20 0.15 0.03 USA, New Jersey: White 460 1.8 0.09 0.20 0.01 661 1.8 0.08 0.21 0.01 USA, New Jersey: Black 33 1.3 0.23 0.15 0.03 72 1.7 0.22 0.16 0.03 USA, New Mexico: Non-Hispanic White 32 1.0 0.18 0.13 0.03 45 1.0 0.17 0.16 0.03 USA, New Mexico: Hispanic White 26 1.6 0.32 0.21 0.06 64 3.4 0.45 0.41 0.07 USA, New Mexico: American Indian 18 7.5 1.82 0.99 0.32 18 5.1 1.28 0.66 0.22 USA, New York State: White 960 1.7 0.06 0.20 0.01 1528 1.9 0.06 0.22 0.01 USA, New York State: Black 98 1.4 0.14 0.16 0.02 196 1.8 0.13 0.22 0.02 USA, Utah 68 1.3 0.17 0.17 0.03 86 1.3 0.16 0.16 0.02 USA, Washington, Seattle 168 1.3 0.11 0.13 0.02 208 1.3 0.10 0.15 0.01 USA, SEER: White 1006 1.4 0.05 0.16 0.01 1411 1.5 0.04 0.17 0.01 USA, SEER: Black 82 1.4 0.16 0.17 0.02 129 1.5 0.14 0.16 0.02

Asia*China, Beijing 218 2.6 0.18 0.29 0.02 188 2.1 0.15 0.26 0.02

+*China, Changle *China, Cixian *China, Hong Kong 582 3.0 0.13 0.34 0.02 594 2.6 0.11 0.29 0.02*China, Jiashan 36 3.2 0.53 0.47 0.09 46 3.9 0.58 0.55 0.09

+*China, Qidong County 16 0.5 0.14 0.06 0.02 11 0.3 0.09 0.04 0.01+*China, Shanghai 671 2.4 0.10 0.31 0.01 1142 4.1 0.13 0.51 0.02

*China, Taiwan 315 2.6 0.15 0.30 0.02 308 2.7 0.16 0.30 0.02*China, Tianjin 318 2.7 0.16 0.34 0.02 285 2.2 0.13 0.28 0.02+China, Wuhan 176 1.8 0.14 0.21 0.02 186 1.7 0.12 0.22 0.02

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rates and standard errorsGallbladder etc. (C23-24) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 42 0.7 0.11 0.08 0.02 55 1.1 0.15 0.16 0.02*India, Bangalore 46 0.6 0.09 0.07 0.01 50 0.7 0.10 0.08 0.01 India, Chennai (Madras) 46 0.6 0.09 0.08 0.01 78 1.1 0.12 0.13 0.02*India, Delhi 456 3.9 0.19 0.49 0.03 956 9.4 0.32 1.12 0.04*India, Karunagappally 5 0.6 0.26 0.09 0.05 2 0.2 0.14 0.02 0.02 India, Mumbai (Bombay) 287 1.7 0.11 0.21 0.02 392 2.7 0.14 0.32 0.02*India, Nagpur 13 0.7 0.20 0.06 0.02 11 0.7 0.20 0.09 0.03*India, Poona 41 1.0 0.17 0.13 0.03 49 1.3 0.19 0.15 0.03*India, Trivandrum 5 0.2 0.11 0.03 0.02 4 0.2 0.08 0.02 0.01 Israel: Jews 206 1.5 0.11 0.16 0.02 338 1.9 0.11 0.25 0.02 Israel: Jews born in Israel 22 1.3 0.31 0.17 0.05 17 1.1 0.29 0.10 0.03 Israel: Jews born in Europe or America 122 1.5 0.17 0.16 0.02 229 2.1 0.16 0.27 0.02 Israel: Jews born in Africa or Asia 62 1.5 0.19 0.18 0.03 92 2.0 0.21 0.25 0.03 Israel: Non-Jews 14 1.1 0.31 0.10 0.04 29 2.0 0.39 0.22 0.05 Japan, Hiroshima 259 7.1 0.45 0.80 0.07 295 5.8 0.36 0.66 0.05*Japan, Miyagi Prefecture 771 8.1 0.30 0.90 0.04 810 5.9 0.22 0.61 0.03*Japan, Nagasaki Prefecture 578 8.1 0.35 0.92 0.05 824 7.2 0.28 0.79 0.04*Japan, Osaka Prefecture 1945 6.2 0.14 0.68 0.02 2380 5.3 0.11 0.57 0.02*Japan, Saga Prefecture 305 7.1 0.42 0.71 0.06 437 6.6 0.36 0.71 0.05*Japan, Yamagata Prefecture 563 8.3 0.36 0.95 0.05 696 7.0 0.30 0.80 0.04*Korea, Busan 245 9.7 0.68 1.26 0.10 277 7.4 0.45 0.92 0.07*Korea, Daegu 148 8.9 0.77 1.20 0.12 162 6.8 0.54 0.86 0.08*Korea, Kangwha County 17 7.8 2.02 0.75 0.24 15 4.6 1.26 0.63 0.18*Korea, Seoul 1326 8.4 0.25 1.01 0.04 1436 6.3 0.17 0.76 0.03*Kuwait: Kuwaitis 10 1.9 0.61 0.29 0.12 8 1.1 0.42 0.11 0.05*Kuwait: Non-Kuwaitis 5 0.5 0.30 0.07 0.05 6 1.7 0.83 0.09 0.06*Oman: Omani 9 0.5 0.17 0.06 0.02 11 0.7 0.21 0.09 0.03*Pakistan, South Karachi 17 1.3 0.32 0.17 0.05 54 5.3 0.76 0.72 0.11*Philippines, Manila 79 1.6 0.19 0.21 0.03 113 1.8 0.17 0.21 0.03*Philippines, Rizal 75 1.4 0.17 0.19 0.03 76 1.2 0.15 0.16 0.02 Singapore: Chinese 119 2.3 0.21 0.28 0.03 143 2.2 0.19 0.24 0.03 Singapore: Indian 8 1.1 0.39 0.20 0.07 11 2.8 0.87 0.34 0.12 Singapore: Malay 13 1.8 0.50 0.22 0.07 20 2.4 0.55 0.28 0.08*Thailand, Bangkok 84 1.3 0.14 0.13 0.02 102 1.3 0.13 0.15 0.02*Thailand, Chiang Mai 65 1.9 0.23 0.26 0.04 117 3.3 0.31 0.48 0.05*Thailand, Khon Kaen 56 1.9 0.26 0.21 0.04 61 1.7 0.22 0.20 0.03*Thailand, Lampang 63 3.3 0.42 0.44 0.07 66 3.3 0.41 0.48 0.07*Thailand, Songkhla 16 0.9 0.22 0.11 0.03 25 1.2 0.25 0.13 0.03*Viet Nam, Hanoi 20 0.5 0.11 - - 8 0.2 0.06 - - *Viet Nam, Ho Chi Minh City 88 1.6 0.17 0.20 0.03 106 1.2 0.12 0.16 0.02

Europe Austria, Tyrol 55 2.6 0.35 0.26 0.05 110 3.1 0.33 0.35 0.05 Austria, Vorarlberg 20 1.9 0.44 0.28 0.08 50 2.8 0.46 0.29 0.06

+*Belarus 346 1.2 0.07 0.15 0.01 647 1.3 0.06 0.18 0.01*Belgium, Flanders, (excl. Limburg) 71 0.7 0.09 0.09 0.01 137 1.0 0.10 0.11 0.01*Belgium, Limburg 16 1.3 0.34 0.20 0.05 11 0.6 0.21 0.05 0.03*Croatia 398 2.6 0.13 0.33 0.02 827 3.4 0.13 0.45 0.02 Czech Republic 1594 4.6 0.12 0.54 0.02 3671 6.7 0.12 0.77 0.02 Denmark 328 1.5 0.09 0.16 0.01 545 1.8 0.09 0.21 0.01 Estonia 69 1.6 0.19 0.20 0.03 134 1.7 0.16 0.21 0.02 Finland 373 2.0 0.11 0.21 0.01 924 3.1 0.12 0.36 0.02 France, Bas-Rhin 60 1.9 0.25 0.26 0.04 143 2.8 0.25 0.34 0.04*France, Calvados 43 2.0 0.32 0.24 0.04 69 2.0 0.27 0.23 0.04 France, Cote d’Or 48 2.5 0.37 0.34 0.06 67 2.0 0.29 0.22 0.04 France, Doubs 25 1.6 0.32 0.22 0.05 45 1.9 0.34 0.18 0.04 France, Haut-Rhin 36 1.6 0.27 0.19 0.04 79 2.3 0.28 0.26 0.04*France, Herault 64 1.8 0.24 0.24 0.03 78 1.5 0.20 0.19 0.03 France, Isere 56 1.6 0.21 0.20 0.03 88 1.8 0.21 0.21 0.03*France, Manche 26 1.6 0.34 0.17 0.04 47 2.1 0.34 0.22 0.04*France, Somme 22 1.0 0.23 0.14 0.03 44 1.6 0.26 0.21 0.04 France, Tarn 22 1.3 0.29 0.14 0.04 25 0.7 0.19 0.07 0.03 Germany, Saarland 147 3.2 0.27 0.40 0.04 317 4.3 0.27 0.54 0.04 Iceland 10 1.1 0.36 0.13 0.05 24 2.0 0.45 0.21 0.07 Ireland 179 1.9 0.15 0.21 0.02 230 1.9 0.14 0.23 0.02 Italy, Biella Province 14 2.6 0.72 0.34 0.10 38 3.8 0.72 0.52 0.11 Italy, Ferrara Province 57 3.1 0.44 0.33 0.06 87 2.9 0.36 0.35 0.05*Italy, Florence 175 2.7 0.22 0.29 0.03 243 2.5 0.18 0.26 0.03 Italy, Genoa Province 132 3.1 0.28 0.33 0.04 264 4.2 0.30 0.47 0.04 Italy, Liguria Italy, Macerata Province 23 1.2 0.26 0.14 0.04 56 2.5 0.42 0.27 0.05 Italy, Modena Province 55 1.6 0.22 0.17 0.03 126 2.9 0.29 0.36 0.04 Italy, North East 183 3.1 0.24 0.33 0.03 333 3.4 0.22 0.39 0.03

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rates and standard errorsGallbladder etc. (C23-24) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 72 3.0 0.38 0.32 0.05 88 2.4 0.30 0.27 0.04*Italy, Ragusa Province 57 4.6 0.65 0.49 0.08 86 4.8 0.57 0.54 0.08 Italy, Romagna 129 2.4 0.22 0.24 0.03 216 3.0 0.24 0.34 0.03 Italy, Sassari 61 3.0 0.40 0.29 0.06 103 4.5 0.48 0.58 0.07 Italy, Torino 175 3.8 0.30 0.45 0.04 286 4.0 0.27 0.48 0.04 Italy, Umbria 72 2.5 0.31 0.31 0.05 155 3.6 0.34 0.38 0.05 Italy, Varese Province 110 3.2 0.31 0.37 0.05 199 3.6 0.28 0.43 0.04 Italy, Venetian Region 200 3.0 0.22 0.34 0.03 333 3.1 0.19 0.37 0.03*Latvia 81 1.1 0.12 0.13 0.02 138 1.0 0.09 0.12 0.01 Lithuania 155 1.5 0.12 0.18 0.02 384 2.1 0.11 0.26 0.02 Malta 13 1.1 0.32 0.12 0.04 20 1.3 0.30 0.15 0.04 The Netherlands 1171 2.1 0.06 0.24 0.01 1791 2.2 0.06 0.26 0.01 The Netherlands, Eindhoven 74 2.3 0.27 0.27 0.04 93 2.2 0.24 0.27 0.04 The Netherlands, Maastricht 86 2.6 0.29 0.27 0.04 96 2.0 0.22 0.24 0.03 Norway 261 1.4 0.09 0.16 0.01 352 1.5 0.09 0.17 0.01*Poland, Cracow 67 3.0 0.36 0.36 0.05 215 5.6 0.40 0.64 0.06*Poland, Kielce 79 2.7 0.31 0.29 0.04 251 5.9 0.40 0.73 0.06*Poland, Lower Silesia 299 3.6 0.21 0.43 0.03 771 6.2 0.23 0.75 0.03 Poland, Warsaw City 227 3.9 0.26 0.43 0.04 608 6.2 0.27 0.70 0.04*Portugal, Vila Nova de Gaia 16 2.1 0.55 0.22 0.07 19 1.6 0.40 0.17 0.06*Russia, St Petersburg 197 1.9 0.13 0.20 0.02 562 2.5 0.11 0.29 0.02 Slovakia 558 3.6 0.15 0.43 0.02 1409 6.2 0.17 0.75 0.03 Slovenia 204 3.3 0.23 0.37 0.03 367 3.5 0.19 0.43 0.03 Spain, Albacete 30 1.8 0.34 0.24 0.05 76 3.8 0.48 0.43 0.07 Spain, Asturias 44 1.2 0.19 0.13 0.02 93 1.5 0.18 0.19 0.03*Spain, Canary Islands 39 1.7 0.27 0.18 0.04 104 3.2 0.33 0.38 0.05 Spain, Cuenca 19 1.3 0.31 0.13 0.05 68 4.1 0.55 0.59 0.09 Spain, Girona 35 2.3 0.41 0.28 0.06 46 2.5 0.41 0.33 0.06 Spain, Granada 79 2.6 0.31 0.26 0.04 216 5.3 0.39 0.58 0.05 Spain, Mallorca 47 2.3 0.35 0.26 0.05 87 3.2 0.39 0.37 0.06 Spain, Murcia 53 1.8 0.26 0.23 0.04 121 2.6 0.26 0.28 0.04 Spain, Navarra 74 3.0 0.36 0.34 0.05 131 3.8 0.39 0.43 0.06 Spain, Tarragona 58 2.0 0.28 0.21 0.04 97 2.8 0.33 0.30 0.04*Spain, Zaragoza 76 1.9 0.24 0.23 0.04 169 3.1 0.27 0.39 0.04 Sweden 857 2.0 0.07 0.24 0.01 1652 3.0 0.09 0.36 0.01 Switzerland, Basel 26 1.4 0.29 0.17 0.04 47 1.4 0.25 0.16 0.04 Switzerland, Geneva 33 2.0 0.36 0.23 0.05 50 2.1 0.33 0.19 0.05 Switzerland, Graubunden and Glarus 20 2.5 0.57 0.29 0.08 28 2.5 0.53 0.32 0.08 Switzerland, Neuchatel 11 2.0 0.63 0.19 0.08 17 2.2 0.60 0.29 0.09 Switzerland, St Gall-Appenzell 41 2.1 0.35 0.26 0.05 101 3.0 0.35 0.32 0.05*Switzerland, Ticino 14 2.8 0.77 0.35 0.11 13 1.9 0.57 0.26 0.09 Switzerland, Valais 21 2.2 0.49 0.26 0.07 27 1.6 0.35 0.17 0.05 Switzerland, Vaud 40 2.2 0.38 0.24 0.05 54 1.8 0.28 0.21 0.04 Switzerland, Zurich 79 2.1 0.24 0.28 0.04 137 2.1 0.21 0.21 0.03*UK, England 2191 1.1 0.02 0.12 0.00 3198 1.1 0.02 0.12 0.00 UK, England, East Anglia 108 1.0 0.11 0.13 0.02 133 0.9 0.09 0.10 0.01 UK, England, Merseyside and Cheshire 96 1.0 0.10 0.09 0.01 174 1.3 0.11 0.15 0.02 UK, England, North Western 146 0.9 0.08 0.10 0.01 261 1.1 0.08 0.14 0.01 UK, England, Oxford Region 96 0.9 0.10 0.10 0.01 132 0.9 0.09 0.09 0.01*UK, England, South Thames 310 1.1 0.06 0.11 0.01 423 1.0 0.06 0.12 0.01*UK, England, South and Western Regions 293 0.9 0.06 0.11 0.01 437 1.0 0.06 0.12 0.01 UK, England, Trent 224 1.1 0.08 0.13 0.01 324 1.1 0.07 0.12 0.01*UK, England, West Midlands Region 371 1.7 0.09 0.19 0.01 495 1.6 0.08 0.18 0.01 UK, England, Yorkshire 133 0.9 0.08 0.11 0.01 189 0.9 0.08 0.11 0.01 UK, Northern Ireland 78 1.4 0.16 0.16 0.02 135 1.7 0.16 0.20 0.02 UK, Scotland 287 1.4 0.09 0.16 0.01 435 1.5 0.08 0.17 0.01*Yugoslavia, Vojvodina 166 2.1 0.17 0.29 0.03 443 4.4 0.22 0.58 0.03

Oceania Australia, Capital Territory 12 1.6 0.45 0.16 0.07 15 1.5 0.42 0.12 0.05 Australia, New South Wales 425 1.9 0.10 0.23 0.01 548 2.0 0.09 0.23 0.01 Australia, Northern Territory 4 1.8 0.92 0.22 0.15 7 2.7 1.05 0.22 0.10 Australia, Queensland 195 1.8 0.13 0.21 0.02 296 2.2 0.14 0.25 0.02 Australia, South 136 2.4 0.21 0.27 0.03 178 2.3 0.20 0.25 0.03 Australia, Tasmania 37 2.0 0.34 0.23 0.05 44 2.1 0.35 0.27 0.05 Australia, Victoria 322 2.0 0.12 0.23 0.02 449 2.2 0.11 0.25 0.02 Australia, Western 108 2.0 0.20 0.22 0.03 125 1.9 0.19 0.24 0.03 New Zealand 164 1.4 0.11 0.15 0.02 235 1.5 0.11 0.16 0.02 USA, Hawaii: White 10 0.9 0.30 0.09 0.04 12 1.2 0.36 0.16 0.05 USA, Hawaii: Chinese 5 1.6 0.80 0.20 0.11 9 2.0 0.76 0.27 0.14 USA, Hawaii: Filipino 9 1.5 0.54 0.20 0.08 16 2.6 0.67 0.34 0.11 USA, Hawaii: Hawaiian 10 2.1 0.68 0.30 0.11 11 2.3 0.71 0.25 0.09 USA, Hawaii: Japanese 32 2.1 0.42 0.20 0.05 31 1.6 0.33 0.15 0.04

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rates and standard errorsPancreas (C25)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 44 1.2 0.18 0.16 0.03 36 0.9 0.17 0.12 0.03*France, La Reunion 19 4.1 0.93 0.51 0.14 10 1.5 0.48 0.14 0.06*The Gambia 9 1.8 0.66 - - 7 1.9 0.75 - - *Mali, Bamako 8 2.0 0.71 0.28 0.12 3 0.6 0.35 0.09 0.07*Uganda, Kyadondo County 8 1.0 0.42 0.13 0.07 9 1.1 0.40 0.15 0.06*Zimbabwe, Harare: African 52 4.2 0.69 0.63 0.13 27 3.9 0.85 0.58 0.17

America, Central and South*Argentina, Bahia Blanca 79 7.0 0.80 0.71 0.11 80 5.0 0.59 0.55 0.08*Argentina, Concordia 20 6.3 1.42 0.67 0.20 20 4.9 1.12 0.65 0.18*Brazil, Campinas 53 3.4 0.48 0.43 0.07 51 2.6 0.37 0.29 0.05*Brazil, Goiania 33 3.0 0.53 0.40 0.09 33 2.4 0.43 0.33 0.07 Colombia, Cali 124 4.6 0.42 0.53 0.06 149 4.4 0.37 0.49 0.06*Costa Rica 110 4.3 0.42 0.45 0.06 105 3.7 0.38 0.40 0.06*Cuba, Villa Clara 62 3.6 0.47 0.39 0.07 53 2.9 0.42 0.32 0.06*Ecuador, Quito 76 3.9 0.46 0.46 0.07 90 3.6 0.39 0.41 0.06*France, Martinique 25 2.4 0.50 0.30 0.07 20 1.3 0.32 0.20 0.06*USA, Puerto Rico 180 4.4 0.34 0.53 0.05 152 2.9 0.25 0.33 0.04*Uruguay, Montevideo 215 8.4 0.59 1.07 0.09 225 4.9 0.36 0.58 0.05

America, North Canada 7101 7.3 0.09 0.87 0.01 7385 5.6 0.07 0.65 0.01 Canada, Alberta 582 7.3 0.31 0.85 0.05 646 6.4 0.27 0.72 0.04 Canada, British Columbia 912 6.7 0.23 0.77 0.03 915 5.2 0.19 0.59 0.03 Canada, Manitoba 299 7.3 0.45 0.85 0.06 311 5.3 0.35 0.58 0.05 Canada, New Brunswick 200 7.7 0.56 0.95 0.09 223 6.1 0.45 0.74 0.07 Canada, Newfoundland 70 4.2 0.51 0.57 0.08 57 3.0 0.42 0.41 0.07 Canada, Northwest Territories 19 7.7 1.82 0.88 0.27 17 7.6 1.97 1.03 0.34 Canada, Nova Scotia 228 7.0 0.48 0.85 0.07 258 5.9 0.41 0.69 0.06 Canada, Ontario 2494 6.9 0.14 0.82 0.02 2653 5.4 0.11 0.62 0.02 Canada, Prince Edward Island 43 8.3 1.33 1.11 0.22 38 5.6 1.04 0.72 0.17+Canada, Quebec 2001 8.6 0.19 1.02 0.03 1980 6.1 0.15 0.71 0.02 Canada, Saskatchewan 261 6.7 0.45 0.83 0.07 295 5.6 0.38 0.68 0.06 Canada, Yukon 7 4.6 1.80 0.82 0.35 2 1.8 1.28 0.17 0.17 USA, California, Los Angeles: Non-Hispanic White 1154 7.7 0.24 0.88 0.03 1278 5.8 0.19 0.66 0.03 USA, California, Los Angeles: Hispanic White 279 8.1 0.50 0.94 0.08 293 5.9 0.35 0.67 0.06 USA, California, Los Angeles: Black 228 9.5 0.64 1.11 0.09 346 9.5 0.54 1.12 0.08 USA, California, Los Angeles: Chinese 42 4.9 0.79 0.48 0.10 32 3.1 0.57 0.37 0.09 USA, California, Los Angeles: Filipino 35 5.4 0.96 0.73 0.17 36 3.9 0.67 0.48 0.11 USA, California, Los Angeles: Japanese 35 6.7 1.20 0.55 0.13 34 4.9 0.86 0.37 0.09 USA, California, Los Angeles: Korean 30 7.9 1.57 0.80 0.18 25 4.1 0.85 0.38 0.11 USA, California, San Francisco: Non-Hispanic White 616 7.4 0.32 0.90 0.05 701 5.6 0.25 0.65 0.04 USA, California, San Francisco: Hispanic White 68 6.8 0.84 0.75 0.12 87 5.9 0.67 0.69 0.10 USA, California, San Francisco: Black 128 11.1 1.01 1.38 0.14 155 9.3 0.79 1.15 0.12 USA, Connecticut: White 896 8.1 0.29 1.01 0.04 988 6.1 0.23 0.73 0.03 USA, Connecticut: Black 81 14.7 1.65 1.91 0.25 80 9.5 1.11 1.17 0.17 USA, Georgia, Atlanta: White 271 6.5 0.40 0.80 0.06 280 4.6 0.30 0.54 0.05 USA, Georgia, Atlanta: Black 126 9.9 0.92 1.11 0.13 143 7.4 0.65 0.93 0.10 USA, Iowa 800 7.3 0.27 0.88 0.04 884 5.2 0.21 0.61 0.03 USA, Louisiana, Central Region: White 68 8.7 1.12 1.08 0.16 69 6.2 0.85 0.74 0.12 USA, Louisiana, Central Region: Black 23 12.0 2.72 1.14 0.34 20 6.8 1.70 0.95 0.28 USA, Louisiana, New Orleans: White 157 7.1 0.59 0.79 0.08 175 4.8 0.41 0.55 0.06 USA, Louisiana, New Orleans: Black 90 11.5 1.22 1.44 0.18 104 8.2 0.84 0.95 0.13 USA, Michigan, Detroit: White 854 8.1 0.28 0.95 0.04 962 6.1 0.22 0.72 0.03 USA, Michigan, Detroit: Black 332 13.7 0.78 1.66 0.11 347 9.4 0.54 1.10 0.08 USA, New Jersey: White 2004 8.1 0.19 0.98 0.03 2416 6.6 0.15 0.76 0.02 USA, New Jersey: Black 242 10.0 0.65 1.34 0.10 290 8.1 0.49 1.01 0.07 USA, New Mexico: Non-Hispanic White 227 6.5 0.45 0.77 0.07 242 5.0 0.36 0.55 0.05 USA, New Mexico: Hispanic White 115 7.5 0.71 0.84 0.10 112 5.8 0.58 0.68 0.09 USA, New Mexico: American Indian 11 4.5 1.39 0.45 0.20 22 6.6 1.48 0.93 0.25 USA, New York State: White 4639 8.9 0.14 1.07 0.02 5204 6.4 0.10 0.74 0.02 USA, New York State: Black 605 8.9 0.37 1.12 0.06 822 7.3 0.27 0.86 0.04 USA, Utah 283 5.7 0.35 0.70 0.05 236 3.7 0.26 0.40 0.04 USA, Washington, Seattle 884 7.4 0.26 0.89 0.04 922 5.7 0.21 0.67 0.03 USA, SEER: White 4986 7.3 0.11 0.88 0.02 5397 5.5 0.09 0.64 0.01 USA, SEER: Black 723 12.5 0.48 1.53 0.07 777 9.1 0.35 1.11 0.05

Asia*China, Beijing 382 4.3 0.23 0.54 0.03 333 3.8 0.22 0.49 0.03

+*China, Changle *China, Cixian *China, Hong Kong 747 4.0 0.15 0.46 0.02 603 2.7 0.12 0.30 0.02*China, Jiashan 63 6.0 0.80 0.73 0.11 41 3.4 0.53 0.48 0.08

+*China, Qidong County 194 6.5 0.47 0.81 0.07 164 4.3 0.35 0.50 0.05+*China, Shanghai 1534 5.6 0.15 0.71 0.02 1362 4.8 0.14 0.60 0.02

*China, Taiwan 573 4.7 0.20 0.59 0.03 390 3.5 0.18 0.40 0.03*China, Tianjin 648 5.7 0.23 0.72 0.03 521 4.1 0.19 0.51 0.03+China, Wuhan 474 4.7 0.22 0.58 0.03 385 3.5 0.18 0.45 0.03

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rates and standard errorsPancreas (C25) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 67 1.1 0.14 0.14 0.02 38 0.8 0.13 0.11 0.02*India, Bangalore 92 1.2 0.13 0.14 0.02 48 0.7 0.10 0.09 0.02 India, Chennai (Madras) 148 1.9 0.16 0.21 0.02 61 0.8 0.11 0.11 0.02*India, Delhi 270 2.3 0.15 0.29 0.02 170 1.7 0.13 0.21 0.02*India, Karunagappally 20 2.4 0.54 0.28 0.06 10 1.1 0.36 0.15 0.05 India, Mumbai (Bombay) 418 2.5 0.13 0.33 0.02 269 1.9 0.12 0.23 0.02*India, Nagpur 21 1.0 0.24 0.12 0.03 13 0.8 0.23 0.09 0.03*India, Poona 102 2.6 0.27 0.35 0.04 56 1.6 0.21 0.20 0.03*India, Trivandrum 40 1.7 0.27 0.22 0.04 22 0.9 0.19 0.10 0.02 Israel: Jews 997 7.2 0.24 0.87 0.04 938 5.0 0.18 0.57 0.03 Israel: Jews born in Israel 108 6.6 0.72 0.70 0.09 81 4.5 0.56 0.50 0.08 Israel: Jews born in Europe or America 653 8.2 0.37 1.01 0.05 670 5.4 0.25 0.64 0.04 Israel: Jews born in Africa or Asia 236 5.9 0.39 0.72 0.06 187 3.8 0.29 0.45 0.04 Israel: Non-Jews 59 5.0 0.67 0.63 0.11 31 2.3 0.41 0.28 0.07 Japan, Hiroshima 316 8.8 0.50 1.05 0.07 242 4.9 0.33 0.56 0.05*Japan, Miyagi Prefecture 944 10.2 0.34 1.17 0.05 729 5.5 0.22 0.61 0.03*Japan, Nagasaki Prefecture 607 8.8 0.37 1.05 0.05 539 4.9 0.23 0.56 0.03*Japan, Osaka Prefecture 2990 9.4 0.17 1.09 0.03 2416 5.5 0.12 0.61 0.02*Japan, Saga Prefecture 362 9.0 0.49 1.02 0.07 353 5.3 0.33 0.57 0.05*Japan, Yamagata Prefecture 605 9.5 0.40 1.15 0.06 519 5.4 0.27 0.60 0.04*Korea, Busan 205 7.9 0.61 1.00 0.09 170 4.5 0.35 0.55 0.05*Korea, Daegu 116 6.8 0.68 0.79 0.10 84 3.5 0.38 0.45 0.06*Korea, Kangwha County 18 7.2 1.73 0.87 0.25 16 4.7 1.20 0.71 0.20*Korea, Seoul 1242 7.4 0.23 0.95 0.04 1075 4.7 0.15 0.59 0.02*Kuwait: Kuwaitis 26 4.7 0.98 0.73 0.18 20 3.6 0.81 0.39 0.12*Kuwait: Non-Kuwaitis 22 3.8 1.43 0.58 0.24 9 2.0 0.95 0.32 0.20*Oman: Omani 38 2.0 0.33 0.25 0.05 16 0.9 0.24 0.11 0.03*Pakistan, South Karachi 13 0.9 0.27 0.13 0.04 10 0.8 0.27 0.10 0.04*Philippines, Manila 205 3.7 0.28 0.45 0.04 240 3.7 0.25 0.43 0.04*Philippines, Rizal 204 3.7 0.28 0.39 0.04 183 2.9 0.22 0.37 0.04 Singapore: Chinese 268 5.2 0.32 0.63 0.05 213 3.3 0.23 0.38 0.03 Singapore: Indian 16 2.3 0.59 0.31 0.08 10 3.2 1.08 0.36 0.14 Singapore: Malay 23 3.0 0.65 0.27 0.07 18 2.3 0.56 0.30 0.09*Thailand, Bangkok 114 1.8 0.17 0.19 0.02 96 1.2 0.12 0.13 0.02*Thailand, Chiang Mai 61 1.7 0.22 0.20 0.03 71 2.0 0.24 0.27 0.04*Thailand, Khon Kaen 31 1.0 0.18 0.13 0.03 21 0.6 0.13 0.08 0.02*Thailand, Lampang 43 2.2 0.35 0.29 0.05 29 1.3 0.25 0.17 0.04*Thailand, Songkhla 15 0.8 0.20 0.06 0.02 16 0.8 0.20 0.09 0.03*Viet Nam, Hanoi 59 1.4 0.18 - - 34 0.7 0.12 - - *Viet Nam, Ho Chi Minh City 136 2.5 0.22 0.28 0.03 108 1.4 0.14 0.19 0.02

Europe Austria, Tyrol 164 7.5 0.60 0.85 0.09 178 5.3 0.44 0.58 0.06 Austria, Vorarlberg 96 9.0 0.93 1.07 0.14 91 5.2 0.62 0.53 0.08

+*Belarus 2299 8.1 0.17 1.03 0.02 1848 3.7 0.09 0.46 0.01*Belgium, Flanders, (excl. Limburg) 417 4.7 0.24 0.58 0.03 470 4.0 0.20 0.47 0.03*Belgium, Limburg 24 2.1 0.43 0.28 0.06 33 2.5 0.45 0.34 0.07*Croatia 1319 8.6 0.24 1.06 0.04 1108 4.7 0.15 0.58 0.02 Czech Republic 3860 11.3 0.18 1.40 0.03 3699 7.0 0.12 0.83 0.02 Denmark 1525 7.2 0.19 0.89 0.03 1666 5.8 0.16 0.70 0.02 Estonia 499 11.4 0.51 1.42 0.08 439 5.3 0.27 0.66 0.04 Finland 1604 8.8 0.22 1.03 0.03 1914 6.3 0.16 0.70 0.02 France, Bas-Rhin 212 6.9 0.48 0.89 0.07 157 3.2 0.29 0.38 0.04*France, Calvados 124 5.8 0.54 0.71 0.07 117 3.3 0.35 0.39 0.05 France, Cote d’Or 114 5.9 0.58 0.76 0.09 90 3.1 0.38 0.39 0.06 France, Doubs 99 6.0 0.62 0.67 0.08 73 2.7 0.35 0.28 0.05 France, Haut-Rhin 170 7.5 0.58 0.93 0.08 143 4.5 0.41 0.57 0.06*France, Herault 156 4.8 0.40 0.61 0.05 100 2.2 0.25 0.27 0.03 France, Isere 232 6.6 0.44 0.84 0.06 221 4.2 0.32 0.47 0.04*France, Manche 62 4.1 0.54 0.53 0.08 45 2.2 0.40 0.24 0.05*France, Somme 100 5.2 0.54 0.65 0.07 66 2.4 0.34 0.28 0.05 France, Tarn 82 4.9 0.59 0.62 0.08 68 2.6 0.38 0.28 0.05 Germany, Saarland 275 6.3 0.39 0.77 0.05 378 5.1 0.30 0.58 0.04 Iceland 37 4.0 0.70 0.38 0.09 40 3.6 0.63 0.39 0.09 Ireland 641 6.8 0.28 0.79 0.04 661 5.3 0.23 0.61 0.03 Italy, Biella Province 42 8.1 1.31 0.92 0.16 65 7.7 1.11 0.91 0.15 Italy, Ferrara Province 131 7.6 0.70 0.91 0.09 146 5.1 0.50 0.58 0.07*Italy, Florence 451 7.7 0.38 0.91 0.05 462 5.3 0.29 0.61 0.04 Italy, Genoa Province 315 8.1 0.48 0.92 0.06 393 6.2 0.37 0.71 0.05 Italy, Liguria Italy, Macerata Province 95 6.0 0.67 0.73 0.09 99 4.9 0.58 0.58 0.08 Italy, Modena Province 238 7.9 0.54 0.98 0.08 237 5.5 0.42 0.63 0.06 Italy, North East 614 10.7 0.45 1.23 0.06 622 6.6 0.31 0.76 0.04

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rates and standard errorsPancreas (C25) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 221 10.3 0.75 1.21 0.10 204 5.8 0.49 0.66 0.07*Italy, Ragusa Province 78 6.0 0.72 0.73 0.10 57 3.1 0.45 0.30 0.06 Italy, Romagna 437 8.6 0.43 1.04 0.06 406 5.3 0.30 0.56 0.04 Italy, Sassari 159 8.3 0.68 1.06 0.11 148 5.8 0.52 0.62 0.07 Italy, Torino 341 7.8 0.43 0.94 0.06 349 5.1 0.31 0.57 0.04 Italy, Umbria 171 6.8 0.56 0.76 0.07 161 4.0 0.37 0.43 0.05 Italy, Varese Province 298 9.1 0.54 1.12 0.08 280 5.0 0.34 0.55 0.05 Italy, Venetian Region 653 10.2 0.41 1.20 0.06 655 6.2 0.28 0.69 0.04*Latvia 892 12.1 0.41 1.52 0.06 792 5.5 0.21 0.66 0.03 Lithuania 1179 11.2 0.33 1.39 0.05 921 5.0 0.17 0.60 0.03 Malta 96 8.3 0.86 1.07 0.13 63 4.0 0.52 0.50 0.08 The Netherlands 3402 6.2 0.11 0.75 0.02 3589 4.7 0.09 0.57 0.01 The Netherlands, Eindhoven 188 5.7 0.42 0.66 0.06 163 3.8 0.32 0.50 0.05 The Netherlands, Maastricht 224 6.8 0.46 0.85 0.07 183 4.0 0.32 0.43 0.04 Norway 1390 7.5 0.22 0.89 0.03 1505 5.8 0.18 0.68 0.03*Poland, Cracow 176 7.8 0.59 0.97 0.08 215 6.0 0.43 0.64 0.06*Poland, Kielce 241 8.5 0.56 1.03 0.08 207 4.8 0.35 0.58 0.05*Poland, Lower Silesia 796 9.7 0.35 1.15 0.05 706 5.9 0.23 0.66 0.03 Poland, Warsaw City 421 7.5 0.37 0.88 0.05 496 5.4 0.26 0.62 0.04*Portugal, Vila Nova de Gaia 35 4.4 0.77 0.49 0.11 48 4.3 0.66 0.60 0.12*Russia, St Petersburg 1152 10.8 0.32 1.29 0.05 1328 5.8 0.17 0.66 0.02 Slovakia 1486 9.9 0.26 1.23 0.04 1185 5.3 0.16 0.65 0.02 Slovenia 452 7.3 0.34 0.88 0.05 504 4.8 0.23 0.52 0.03 Spain, Albacete 74 4.7 0.58 0.64 0.09 68 3.4 0.45 0.40 0.07 Spain, Asturias 214 5.4 0.39 0.64 0.05 197 3.0 0.25 0.34 0.04*Spain, Canary Islands 180 7.5 0.57 0.90 0.09 149 4.6 0.40 0.56 0.06 Spain, Cuenca 49 3.9 0.62 0.47 0.09 49 2.5 0.41 0.25 0.06 Spain, Girona 79 5.7 0.68 0.66 0.09 61 3.9 0.57 0.43 0.07 Spain, Granada 164 5.8 0.47 0.66 0.06 120 3.0 0.31 0.34 0.04 Spain, Mallorca 93 4.9 0.53 0.62 0.08 89 3.7 0.43 0.45 0.06 Spain, Murcia 164 5.5 0.45 0.63 0.06 139 3.3 0.30 0.36 0.04 Spain, Navarra 181 8.0 0.63 0.98 0.09 141 4.3 0.42 0.47 0.06 Spain, Tarragona 156 6.2 0.52 0.75 0.07 147 4.4 0.42 0.44 0.05*Spain, Zaragoza 200 5.8 0.43 0.69 0.06 193 3.6 0.29 0.41 0.04 Sweden 2486 6.3 0.14 0.78 0.02 2733 5.3 0.12 0.65 0.02 Switzerland, Basel 109 5.9 0.59 0.72 0.08 107 3.9 0.43 0.48 0.06 Switzerland, Geneva 123 7.3 0.69 0.94 0.11 133 6.6 0.63 0.75 0.09 Switzerland, Graubunden and Glarus 76 8.1 0.97 0.98 0.15 73 5.2 0.70 0.59 0.11 Switzerland, Neuchatel 40 7.4 1.21 0.95 0.19 39 5.3 0.95 0.71 0.14 Switzerland, St Gall-Appenzell 144 7.3 0.64 0.80 0.09 162 5.4 0.49 0.66 0.08*Switzerland, Ticino 39 8.2 1.35 0.98 0.18 39 5.2 0.94 0.67 0.14 Switzerland, Valais 72 7.2 0.87 0.87 0.13 70 5.5 0.73 0.60 0.10 Switzerland, Vaud 159 8.8 0.73 1.03 0.10 165 5.4 0.49 0.61 0.07 Switzerland, Zurich 256 7.1 0.46 0.86 0.07 242 4.4 0.32 0.53 0.05*UK, England 13551 6.7 0.06 0.79 0.01 14655 4.8 0.05 0.56 0.01 UK, England, East Anglia 623 6.5 0.28 0.75 0.04 644 4.5 0.21 0.53 0.03 UK, England, Merseyside and Cheshire 670 7.0 0.28 0.81 0.04 747 5.1 0.22 0.61 0.03 UK, England, North Western 1054 6.7 0.21 0.77 0.03 1192 5.0 0.17 0.59 0.02 UK, England, Oxford Region 640 6.6 0.27 0.74 0.04 698 5.0 0.22 0.55 0.03*UK, England, South Thames 2102 7.5 0.17 0.89 0.03 2279 5.2 0.13 0.58 0.02*UK, England, South and Western Regions 2018 6.6 0.16 0.76 0.02 2204 4.9 0.13 0.56 0.02 UK, England, Trent 1348 6.6 0.19 0.77 0.03 1481 5.3 0.16 0.62 0.02*UK, England, West Midlands Region 1354 6.1 0.17 0.69 0.02 1452 4.5 0.14 0.51 0.02 UK, England, Yorkshire 955 6.2 0.21 0.72 0.03 1092 5.0 0.18 0.60 0.03 UK, Northern Ireland 372 6.6 0.35 0.79 0.05 385 4.7 0.27 0.55 0.04 UK, Scotland 1418 7.2 0.20 0.84 0.03 1605 5.3 0.15 0.61 0.02*Yugoslavia, Vojvodina 515 6.9 0.31 0.82 0.04 507 5.2 0.24 0.65 0.03

Oceania Australia, Capital Territory 50 7.3 1.07 0.81 0.15 35 3.9 0.69 0.38 0.09 Australia, New South Wales 1394 6.4 0.18 0.76 0.03 1435 5.0 0.15 0.55 0.02 Australia, Northern Territory 19 5.9 1.47 0.78 0.22 15 6.6 1.76 0.86 0.31 Australia, Queensland 709 6.4 0.25 0.77 0.04 610 4.4 0.19 0.48 0.03 Australia, South 370 6.7 0.36 0.79 0.05 372 4.6 0.27 0.52 0.04 Australia, Tasmania 114 6.9 0.67 0.78 0.09 121 5.7 0.57 0.69 0.08 Australia, Victoria 1032 6.6 0.21 0.80 0.03 1017 4.6 0.16 0.50 0.02 Australia, Western 360 6.7 0.36 0.82 0.05 328 4.7 0.28 0.54 0.04 New Zealand 751 6.4 0.24 0.74 0.03 781 5.1 0.20 0.59 0.03 USA, Hawaii: White 76 7.5 0.90 0.82 0.13 75 6.5 0.81 0.72 0.11 USA, Hawaii: Chinese 32 10.1 2.01 1.09 0.27 19 4.5 1.16 0.60 0.20 USA, Hawaii: Filipino 64 8.5 1.17 0.88 0.17 25 4.1 0.84 0.43 0.12 USA, Hawaii: Hawaiian 42 8.7 1.37 1.10 0.21 37 7.1 1.20 0.73 0.16 USA, Hawaii: Japanese 132 8.6 0.85 1.02 0.12 111 5.6 0.62 0.61 0.08

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsNose, sinuses etc. (C30-31)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 16 0.4 0.10 0.05 0.01 11 0.2 0.08 0.03 0.01*France, La Reunion 5 1.0 0.47 0.13 0.07 1 0.2 0.16 0.01 0.01*The Gambia 1 0.2 0.22 - - 0 - - - - *Mali, Bamako 1 0.2 0.16 0.02 0.02 0 - - - - *Uganda, Kyadondo County 13 1.3 0.48 0.19 0.08 11 1.0 0.37 0.11 0.04*Zimbabwe, Harare: African 16 1.2 0.35 0.15 0.06 7 0.8 0.34 0.11 0.05

America, Central and South*Argentina, Bahia Blanca 2 0.2 0.15 0.02 0.02 6 0.5 0.21 0.07 0.03*Argentina, Concordia 5 1.7 0.78 0.24 0.12 3 0.7 0.41 0.03 0.03*Brazil, Campinas 6 0.3 0.14 0.03 0.01 9 0.4 0.15 0.05 0.02*Brazil, Goiania 11 0.9 0.29 0.12 0.04 7 0.3 0.13 0.02 0.01 Colombia, Cali 15 0.5 0.13 0.05 0.02 23 0.6 0.14 0.08 0.02*Costa Rica 9 0.4 0.13 0.06 0.02 6 0.3 0.11 0.04 0.02*Cuba, Villa Clara 12 0.8 0.23 0.12 0.04 1 0.1 0.07 0.01 0.01*Ecuador, Quito 6 0.3 0.13 0.04 0.02 17 0.7 0.16 0.06 0.02*France, Martinique 6 0.5 0.22 0.09 0.04 5 0.4 0.18 0.03 0.02*USA, Puerto Rico 24 0.6 0.13 0.05 0.01 13 0.3 0.09 0.03 0.01*Uruguay, Montevideo 13 0.5 0.15 0.06 0.02 11 0.4 0.13 0.03 0.01

America, North Canada 581 0.6 0.03 0.07 0.00 416 0.4 0.02 0.04 0.00 Canada, Alberta 45 0.6 0.09 0.07 0.01 35 0.4 0.07 0.05 0.01 Canada, British Columbia 74 0.6 0.07 0.05 0.01 55 0.4 0.06 0.04 0.01 Canada, Manitoba 21 0.6 0.14 0.07 0.02 22 0.5 0.11 0.06 0.01 Canada, New Brunswick 8 0.4 0.14 0.04 0.02 8 0.3 0.12 0.03 0.01 Canada, Newfoundland 10 0.5 0.18 0.06 0.03 10 0.6 0.22 0.07 0.03 Canada, Northwest Territories 2 0.6 0.41 0.05 0.04 0 - - - - Canada, Nova Scotia 14 0.5 0.16 0.04 0.01 11 0.4 0.12 0.04 0.01 Canada, Ontario 225 0.7 0.04 0.08 0.01 168 0.4 0.03 0.04 0.00 Canada, Prince Edward Island 1 0.1 0.10 - - 2 0.4 0.30 0.03 0.03+Canada, Quebec 159 0.7 0.06 0.08 0.01 91 0.4 0.04 0.04 0.00 Canada, Saskatchewan 24 0.7 0.15 0.08 0.02 14 0.3 0.10 0.03 0.01 Canada, Yukon 0 - - - - 0 - - - - USA, California, Los Angeles: Non-Hispanic White 91 0.7 0.08 0.08 0.01 70 0.4 0.06 0.05 0.01 USA, California, Los Angeles: Hispanic White 27 0.6 0.13 0.06 0.02 21 0.4 0.09 0.05 0.01 USA, California, Los Angeles: Black 15 0.6 0.16 0.08 0.03 15 0.5 0.13 0.04 0.01 USA, California, Los Angeles: Chinese 7 0.7 0.29 0.09 0.05 5 0.7 0.30 0.09 0.04 USA, California, Los Angeles: Filipino 4 0.6 0.30 0.08 0.06 2 0.2 0.14 0.03 0.03 USA, California, Los Angeles: Japanese 1 0.1 0.13 0.03 0.03 0 - - - - USA, California, Los Angeles: Korean 3 0.7 0.41 0.07 0.05 0 - - - - USA, California, San Francisco: Non-Hispanic White 46 0.6 0.09 0.06 0.01 42 0.4 0.07 0.04 0.01 USA, California, San Francisco: Hispanic White 8 0.8 0.29 0.09 0.04 5 0.5 0.21 0.05 0.02 USA, California, San Francisco: Black 10 0.8 0.28 0.10 0.04 2 0.2 0.12 0.02 0.02 USA, Connecticut: White 58 0.5 0.08 0.07 0.01 43 0.3 0.06 0.04 0.01 USA, Connecticut: Black 5 0.9 0.42 0.08 0.04 3 0.4 0.24 0.07 0.04 USA, Georgia, Atlanta: White 27 0.6 0.12 0.05 0.01 13 0.3 0.07 0.03 0.01 USA, Georgia, Atlanta: Black 8 0.6 0.21 0.06 0.02 7 0.4 0.15 0.03 0.02 USA, Iowa 60 0.6 0.08 0.07 0.01 30 0.2 0.05 0.02 0.01 USA, Louisiana, Central Region: White 4 0.6 0.29 0.06 0.04 5 0.7 0.33 0.10 0.04 USA, Louisiana, Central Region: Black 2 1.2 0.85 0.12 0.09 1 0.5 0.54 0.07 0.07 USA, Louisiana, New Orleans: White 10 0.5 0.16 0.06 0.02 12 0.5 0.19 0.06 0.02 USA, Louisiana, New Orleans: Black 11 1.2 0.35 0.09 0.04 2 0.1 0.10 0.02 0.02 USA, Michigan, Detroit: White 58 0.6 0.08 0.07 0.01 60 0.5 0.07 0.05 0.01 USA, Michigan, Detroit: Black 26 1.1 0.22 0.13 0.03 20 0.6 0.15 0.06 0.02 USA, New Jersey: White 138 0.6 0.05 0.07 0.01 123 0.4 0.04 0.04 0.00 USA, New Jersey: Black 18 0.7 0.16 0.08 0.02 11 0.3 0.09 0.03 0.01 USA, New Mexico: Non-Hispanic White 22 0.7 0.16 0.07 0.02 11 0.3 0.11 0.03 0.01 USA, New Mexico: Hispanic White 10 0.7 0.21 0.06 0.03 7 0.4 0.14 0.07 0.03 USA, New Mexico: American Indian 1 0.6 0.58 0.07 0.07 4 1.1 0.56 0.13 0.10 USA, New York State: White 278 0.6 0.04 0.07 0.00 223 0.4 0.03 0.04 0.00 USA, New York State: Black 45 0.7 0.10 0.08 0.01 30 0.3 0.05 0.03 0.01 USA, Utah 29 0.6 0.11 0.07 0.02 17 0.3 0.08 0.04 0.01 USA, Washington, Seattle 67 0.6 0.08 0.08 0.01 45 0.4 0.06 0.04 0.01 USA, SEER: White 380 0.6 0.03 0.07 0.00 275 0.4 0.02 0.04 0.00 USA, SEER: Black 52 0.9 0.13 0.10 0.02 33 0.4 0.08 0.04 0.01

Asia*China, Beijing 31 0.4 0.08 0.05 0.01 22 0.3 0.06 0.03 0.01

+*China, Changle *China, Cixian *China, Hong Kong 147 0.8 0.07 0.09 0.01 79 0.4 0.05 0.04 0.01*China, Jiashan 3 0.2 0.14 0.04 0.03 4 0.3 0.17 0.02 0.02

+*China, Qidong County 16 0.5 0.14 0.08 0.02 1 0.0 0.04 0.00 0.00+*China, Shanghai 146 0.6 0.05 0.07 0.01 79 0.3 0.04 0.03 0.00

*China, Taiwan 103 0.8 0.09 0.09 0.01 41 0.3 0.05 0.03 0.01*China, Tianjin 75 0.6 0.08 0.08 0.01 38 0.3 0.05 0.04 0.01+China, Wuhan 43 0.4 0.06 0.05 0.01 30 0.3 0.05 0.03 0.01

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rates and standard errorsNose, sinuses etc. (C30-31) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 41 0.6 0.09 0.06 0.01 23 0.4 0.08 0.05 0.01*India, Bangalore 38 0.5 0.08 0.05 0.01 29 0.4 0.08 0.05 0.01 India, Chennai (Madras) 64 0.8 0.10 0.08 0.01 32 0.5 0.08 0.06 0.01*India, Delhi 66 0.4 0.06 0.04 0.01 34 0.3 0.05 0.03 0.01*India, Karunagappally 7 0.8 0.29 0.09 0.04 3 0.3 0.20 0.08 0.05 India, Mumbai (Bombay) 159 0.8 0.07 0.10 0.01 90 0.6 0.06 0.07 0.01*India, Nagpur 11 0.5 0.17 0.05 0.02 10 0.6 0.21 0.11 0.04*India, Poona 48 1.2 0.18 0.16 0.03 25 0.6 0.13 0.09 0.02*India, Trivandrum 9 0.4 0.13 0.04 0.02 8 0.3 0.12 0.04 0.02 Israel: Jews 45 0.3 0.05 0.04 0.01 50 0.3 0.05 0.03 0.01 Israel: Jews born in Israel 10 0.4 0.16 0.03 0.02 9 0.2 0.12 0.01 0.01 Israel: Jews born in Europe or America 22 0.3 0.08 0.04 0.01 30 0.3 0.08 0.04 0.01 Israel: Jews born in Africa or Asia 13 0.3 0.09 0.04 0.01 11 0.3 0.08 0.02 0.01 Israel: Non-Jews 5 0.3 0.13 0.01 0.01 4 0.2 0.12 0.02 0.01 Japan, Hiroshima 40 1.2 0.19 0.14 0.03 16 0.4 0.09 0.04 0.01*Japan, Miyagi Prefecture 102 1.2 0.12 0.14 0.02 56 0.5 0.07 0.05 0.01*Japan, Nagasaki Prefecture 56 0.9 0.13 0.12 0.02 33 0.3 0.06 0.04 0.01*Japan, Osaka Prefecture 248 0.8 0.05 0.09 0.01 149 0.4 0.04 0.05 0.00*Japan, Saga Prefecture 34 1.0 0.18 0.11 0.02 19 0.4 0.10 0.04 0.01*Japan, Yamagata Prefecture 51 0.9 0.13 0.11 0.02 21 0.2 0.06 0.03 0.01*Korea, Busan 24 1.0 0.24 0.10 0.03 14 0.4 0.11 0.05 0.02*Korea, Daegu 17 0.8 0.21 0.10 0.03 12 0.5 0.15 0.06 0.02*Korea, Kangwha County 0 - - - - 2 0.5 0.38 0.04 0.04*Korea, Seoul 157 0.8 0.07 0.09 0.01 92 0.4 0.04 0.04 0.01*Kuwait: Kuwaitis 3 0.3 0.18 0.02 0.02 1 0.1 0.06 0.00 0.00*Kuwait: Non-Kuwaitis 4 0.1 0.04 0.01 0.00 1 0.6 0.55 0.14 0.14*Oman: Omani 10 0.5 0.17 0.07 0.03 2 0.1 0.04 0.00 0.00*Pakistan, South Karachi 4 0.2 0.08 0.01 0.01 3 0.3 0.20 0.04 0.02*Philippines, Manila 105 1.6 0.17 0.19 0.02 64 0.8 0.10 0.09 0.01*Philippines, Rizal 79 1.2 0.15 0.15 0.02 46 0.6 0.09 0.07 0.01 Singapore: Chinese 56 1.0 0.14 0.12 0.02 22 0.3 0.07 0.04 0.01 Singapore: Indian 3 0.4 0.21 0.06 0.04 2 0.3 0.21 0.02 0.02 Singapore: Malay 3 0.5 0.29 0.02 0.02 0 - - - - *Thailand, Bangkok 50 0.7 0.11 0.08 0.02 39 0.4 0.07 0.05 0.01*Thailand, Chiang Mai 26 0.7 0.14 0.08 0.02 13 0.4 0.10 0.04 0.01*Thailand, Khon Kaen 23 0.7 0.16 0.09 0.02 11 0.3 0.09 0.04 0.02*Thailand, Lampang 10 0.5 0.16 0.06 0.02 13 0.6 0.17 0.05 0.02*Thailand, Songkhla 12 0.6 0.17 0.05 0.02 6 0.3 0.13 0.04 0.02*Viet Nam, Hanoi 43 1.0 0.15 - - 30 0.5 0.10 - - *Viet Nam, Ho Chi Minh City 52 0.8 0.12 0.09 0.02 46 0.5 0.08 0.05 0.01

Europe Austria, Tyrol 13 0.6 0.17 0.05 0.02 5 0.2 0.10 0.02 0.01 Austria, Vorarlberg 6 0.6 0.25 0.08 0.03 5 0.5 0.23 0.06 0.03

+*Belarus 191 0.7 0.05 0.08 0.01 131 0.3 0.03 0.03 0.00*Belgium, Flanders, (excl. Limburg) 96 1.2 0.13 0.16 0.02 33 0.3 0.07 0.03 0.01*Belgium, Limburg 3 0.4 0.21 0.03 0.02 2 0.1 0.09 0.03 0.02*Croatia 76 0.5 0.06 0.07 0.01 72 0.3 0.04 0.04 0.01 Czech Republic 175 0.5 0.04 0.06 0.00 119 0.3 0.03 0.03 0.00 Denmark 184 0.9 0.07 0.10 0.01 118 0.5 0.05 0.06 0.01 Estonia 37 0.8 0.14 0.09 0.02 20 0.3 0.07 0.03 0.01 Finland 86 0.5 0.05 0.06 0.01 78 0.3 0.04 0.04 0.01 France, Bas-Rhin 43 1.4 0.22 0.18 0.03 9 0.2 0.07 0.02 0.01*France, Calvados 18 0.8 0.21 0.10 0.03 6 0.2 0.08 0.01 0.01 France, Cote d’Or France, Doubs 12 0.8 0.22 0.08 0.03 8 0.4 0.15 0.04 0.02 France, Haut-Rhin 23 1.0 0.22 0.12 0.03 11 0.4 0.12 0.03 0.01*France, Herault 28 0.8 0.17 0.07 0.02 13 0.3 0.10 0.04 0.01 France, Isere 32 1.0 0.17 0.14 0.03 6 0.1 0.05 0.01 0.01*France, Manche 17 1.1 0.29 0.13 0.04 8 0.3 0.13 0.07 0.02*France, Somme 23 1.2 0.26 0.17 0.04 7 0.2 0.07 0.02 0.01 France, Tarn 19 1.2 0.30 0.13 0.04 0 - - - - Germany, Saarland 19 0.4 0.11 0.05 0.01 22 0.4 0.09 0.04 0.01 Iceland 3 0.4 0.22 0.04 0.03 9 1.0 0.35 0.11 0.05 Ireland 46 0.5 0.08 0.06 0.01 31 0.3 0.06 0.03 0.01 Italy, Biella Province 7 1.4 0.55 0.13 0.06 6 0.8 0.40 0.10 0.05 Italy, Ferrara Province 3 0.2 0.10 0.03 0.02 4 0.1 0.07 0.02 0.01*Italy, Florence 35 0.6 0.11 0.08 0.02 23 0.3 0.07 0.03 0.01 Italy, Genoa Province 28 0.8 0.15 0.09 0.02 9 0.2 0.08 0.03 0.01 Italy, Liguria Italy, Macerata Province 10 0.8 0.26 0.09 0.03 1 0.0 0.03 - - Italy, Modena Province 9 0.3 0.11 0.04 0.02 7 0.1 0.07 0.02 0.01 Italy, North East 35 0.7 0.12 0.07 0.01 19 0.3 0.07 0.03 0.01

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rates and standard errorsNose, sinuses etc. (C30-31) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 10 0.6 0.21 0.09 0.03 1 0.0 0.01 - - *Italy, Ragusa Province 2 0.2 0.12 0.03 0.02 1 0.1 0.10 0.01 0.01 Italy, Romagna 26 0.6 0.12 0.08 0.02 12 0.2 0.07 0.03 0.01 Italy, Sassari 8 0.5 0.20 0.05 0.02 4 0.3 0.14 0.02 0.01 Italy, Torino 31 0.8 0.15 0.10 0.02 9 0.1 0.05 0.02 0.01 Italy, Umbria 9 0.5 0.19 0.05 0.02 8 0.3 0.16 0.03 0.01 Italy, Varese Province 23 0.8 0.16 0.09 0.02 11 0.3 0.09 0.03 0.01 Italy, Venetian Region 46 0.8 0.12 0.10 0.02 18 0.2 0.05 0.03 0.01*Latvia 62 0.8 0.11 0.10 0.02 54 0.4 0.06 0.05 0.01 Lithuania 69 0.7 0.08 0.08 0.01 43 0.3 0.04 0.03 0.01 Malta 4 0.4 0.21 0.03 0.02 4 0.3 0.14 0.02 0.01 The Netherlands 464 0.9 0.04 0.10 0.01 244 0.4 0.03 0.04 0.00 The Netherlands, Eindhoven 25 0.7 0.15 0.10 0.02 8 0.2 0.09 0.03 0.01 The Netherlands, Maastricht 30 0.9 0.17 0.10 0.02 6 0.2 0.12 0.02 0.01 Norway 94 0.5 0.06 0.07 0.01 79 0.4 0.05 0.04 0.01*Poland, Cracow 7 0.3 0.12 0.04 0.02 2 0.0 0.03 - - *Poland, Kielce 21 0.8 0.17 0.08 0.02 13 0.4 0.11 0.04 0.01*Poland, Lower Silesia 67 0.8 0.10 0.10 0.01 47 0.4 0.06 0.04 0.01 Poland, Warsaw City 23 0.5 0.10 0.05 0.01 23 0.3 0.07 0.04 0.01*Portugal, Vila Nova de Gaia 9 1.2 0.40 0.09 0.04 1 0.2 0.20 0.01 0.01*Russia, St Petersburg 40 0.4 0.06 0.04 0.01 42 0.2 0.03 0.02 0.00 Slovakia 101 0.7 0.07 0.08 0.01 64 0.3 0.04 0.03 0.00 Slovenia 61 1.0 0.13 0.12 0.02 41 0.4 0.08 0.05 0.01 Spain, Albacete 4 0.4 0.22 0.05 0.02 1 0.0 0.05 0.01 0.01 Spain, Asturias 42 1.3 0.20 0.15 0.03 14 0.4 0.15 0.04 0.01*Spain, Canary Islands 18 0.7 0.18 0.09 0.03 7 0.2 0.09 0.02 0.01 Spain, Cuenca 1 0.2 0.21 0.02 0.02 2 0.5 0.34 0.04 0.03 Spain, Girona 8 0.7 0.25 0.10 0.04 2 0.1 0.06 0.01 0.01 Spain, Granada 8 0.3 0.10 0.04 0.02 7 0.2 0.08 0.03 0.01 Spain, Mallorca 6 0.3 0.14 0.03 0.02 2 0.1 0.07 0.02 0.01 Spain, Murcia 13 0.4 0.12 0.04 0.02 5 0.1 0.07 0.01 0.01 Spain, Navarra 10 0.6 0.18 0.07 0.02 5 0.3 0.13 0.03 0.02 Spain, Tarragona 13 0.8 0.25 0.07 0.02 9 0.3 0.11 0.03 0.01*Spain, Zaragoza 20 0.6 0.15 0.08 0.02 11 0.3 0.09 0.02 0.01 Sweden 167 0.4 0.04 0.06 0.01 129 0.3 0.03 0.03 0.00 Switzerland, Basel 3 0.2 0.11 0.01 0.01 2 0.1 0.08 0.02 0.01 Switzerland, Geneva 15 1.1 0.29 0.09 0.03 11 0.7 0.23 0.08 0.03 Switzerland, Graubunden and Glarus 2 0.2 0.17 0.01 0.01 4 0.5 0.25 0.05 0.03 Switzerland, Neuchatel 6 1.3 0.56 0.15 0.07 2 0.3 0.24 0.03 0.03 Switzerland, St Gall-Appenzell 8 0.5 0.17 0.05 0.02 8 0.5 0.19 0.04 0.02*Switzerland, Ticino 3 0.7 0.38 0.13 0.07 1 0.2 0.23 0.02 0.02 Switzerland, Valais 8 0.9 0.32 0.12 0.05 1 0.1 0.13 0.01 0.01 Switzerland, Vaud 11 0.7 0.22 0.06 0.03 8 0.4 0.16 0.03 0.01 Switzerland, Zurich 17 0.5 0.12 0.05 0.01 17 0.4 0.10 0.04 0.01*UK, England 968 0.5 0.02 0.06 0.00 683 0.3 0.01 0.03 0.00 UK, England, East Anglia 55 0.6 0.09 0.08 0.01 30 0.3 0.07 0.03 0.01 UK, England, Merseyside and Cheshire 56 0.7 0.09 0.08 0.01 36 0.3 0.05 0.04 0.01 UK, England, North Western 68 0.5 0.06 0.05 0.01 66 0.4 0.05 0.04 0.01 UK, England, Oxford Region 57 0.6 0.09 0.07 0.01 30 0.3 0.06 0.03 0.01*UK, England, South Thames 153 0.6 0.05 0.07 0.01 111 0.4 0.04 0.04 0.00*UK, England, South and Western Regions 143 0.6 0.05 0.06 0.01 97 0.3 0.04 0.03 0.00 UK, England, Trent 95 0.5 0.05 0.06 0.01 47 0.2 0.03 0.02 0.00*UK, England, West Midlands Region 107 0.6 0.06 0.06 0.01 80 0.3 0.04 0.04 0.01 UK, England, Yorkshire 81 0.6 0.07 0.07 0.01 62 0.3 0.05 0.04 0.01 UK, Northern Ireland 36 0.7 0.12 0.08 0.02 27 0.4 0.08 0.04 0.01 UK, Scotland 94 0.5 0.05 0.06 0.01 86 0.4 0.05 0.04 0.01*Yugoslavia, Vojvodina 36 0.5 0.09 0.05 0.01 24 0.3 0.07 0.03 0.01

Oceania Australia, Capital Territory 3 0.3 0.17 0.03 0.01 5 0.6 0.28 0.06 0.03 Australia, New South Wales 142 0.7 0.06 0.08 0.01 77 0.3 0.04 0.03 0.00 Australia, Northern Territory 1 0.6 0.55 - - 1 0.5 0.54 0.07 0.07 Australia, Queensland 82 0.8 0.09 0.09 0.01 36 0.3 0.05 0.04 0.01 Australia, South 26 0.5 0.10 0.07 0.02 16 0.2 0.06 0.02 0.01 Australia, Tasmania 18 1.2 0.30 0.15 0.04 4 0.3 0.15 0.04 0.02 Australia, Victoria 115 0.8 0.07 0.09 0.01 44 0.2 0.04 0.02 0.00 Australia, Western 43 0.8 0.12 0.09 0.02 24 0.4 0.08 0.03 0.01 New Zealand 57 0.5 0.07 0.05 0.01 45 0.3 0.05 0.04 0.01 USA, Hawaii: White 9 0.8 0.28 0.10 0.04 5 0.6 0.29 0.10 0.04 USA, Hawaii: Chinese 2 0.7 0.50 0.14 0.10 1 0.5 0.51 0.06 0.06 USA, Hawaii: Filipino 2 0.3 0.22 0.03 0.03 2 0.3 0.22 0.03 0.03 USA, Hawaii: Hawaiian 6 1.1 0.44 0.13 0.07 0 - - - - USA, Hawaii: Japanese 7 0.7 0.28 0.09 0.04 10 0.8 0.33 0.06 0.03

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rates and standard errorsLarynx (C32)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 155 4.3 0.36 0.58 0.06 11 0.3 0.09 0.04 0.01*France, La Reunion 24 4.8 0.99 0.54 0.13 2 0.4 0.27 0.05 0.04*The Gambia 1 0.2 0.18 - - 1 0.2 0.23 - - *Mali, Bamako 4 0.9 0.47 0.12 0.07 0 - - - - *Uganda, Kyadondo County 10 1.3 0.46 0.16 0.06 8 1.1 0.47 0.14 0.07*Zimbabwe, Harare: African 53 4.9 0.77 0.65 0.13 6 0.9 0.38 0.13 0.06

America, Central and South*Argentina, Bahia Blanca 91 8.9 0.94 1.20 0.13 5 0.2 0.10 0.01 0.01*Argentina, Concordia 30 10.2 1.86 1.23 0.25 6 1.6 0.66 0.18 0.08*Brazil, Campinas 112 7.4 0.71 1.08 0.12 15 0.8 0.22 0.13 0.04*Brazil, Goiania 72 6.4 0.77 0.77 0.11 23 1.5 0.32 0.19 0.05 Colombia, Cali 132 5.0 0.45 0.62 0.07 29 0.9 0.17 0.12 0.03*Costa Rica 72 3.0 0.36 0.38 0.06 4 0.2 0.08 0.02 0.01*Cuba, Villa Clara 189 11.6 0.88 1.36 0.12 31 1.9 0.37 0.22 0.05*Ecuador, Quito 28 1.4 0.27 0.18 0.05 2 0.1 0.06 0.01 0.01*France, Martinique 53 4.8 0.68 0.59 0.10 3 0.2 0.15 0.02 0.02*USA, Puerto Rico 220 5.5 0.39 0.64 0.05 31 0.6 0.12 0.08 0.02*Uruguay, Montevideo 295 12.2 0.73 1.58 0.10 26 0.8 0.18 0.11 0.02

America, North Canada 4945 5.4 0.08 0.71 0.01 1078 1.1 0.03 0.14 0.00 Canada, Alberta 260 3.5 0.22 0.46 0.03 67 0.8 0.10 0.10 0.01 Canada, British Columbia 516 4.1 0.19 0.55 0.03 115 0.9 0.09 0.11 0.01 Canada, Manitoba 160 4.2 0.35 0.58 0.05 32 0.7 0.13 0.09 0.02 Canada, New Brunswick 152 6.5 0.54 0.83 0.08 38 1.5 0.26 0.19 0.03 Canada, Newfoundland 90 5.5 0.59 0.81 0.09 13 0.7 0.21 0.10 0.03 Canada, Northwest Territories 7 2.8 1.07 0.31 0.13 1 0.7 0.69 0.17 0.17 Canada, Nova Scotia 162 5.5 0.45 0.73 0.07 34 1.0 0.18 0.14 0.03 Canada, Ontario 1662 4.8 0.12 0.62 0.02 333 0.8 0.05 0.11 0.01 Canada, Prince Edward Island 26 6.2 1.25 0.88 0.19 2 0.4 0.29 0.08 0.06+Canada, Quebec 1779 8.0 0.19 1.02 0.03 423 1.6 0.08 0.21 0.01 Canada, Saskatchewan 131 3.7 0.34 0.51 0.05 20 0.6 0.14 0.08 0.02 Canada, Yukon 6 3.9 1.62 0.60 0.28 1 0.7 0.68 0.09 0.09 USA, California, Los Angeles: Non-Hispanic White 720 5.5 0.22 0.70 0.03 207 1.3 0.10 0.18 0.01 USA, California, Los Angeles: Hispanic White 175 4.9 0.39 0.63 0.06 27 0.5 0.11 0.07 0.02 USA, California, Los Angeles: Black 197 8.7 0.63 1.10 0.09 58 2.1 0.28 0.28 0.04 USA, California, Los Angeles: Chinese 15 1.9 0.50 0.19 0.06 2 0.2 0.16 0.01 0.01 USA, California, Los Angeles: Filipino 19 2.9 0.72 0.33 0.11 1 0.1 0.11 0.03 0.03 USA, California, Los Angeles: Japanese 15 2.8 0.77 0.32 0.10 1 0.1 0.11 0.02 0.02 USA, California, Los Angeles: Korean 14 3.5 1.03 0.34 0.12 1 0.2 0.16 0.04 0.04 USA, California, San Francisco: Non-Hispanic White 370 5.0 0.27 0.65 0.04 102 1.1 0.12 0.14 0.02 USA, California, San Francisco: Hispanic White 44 4.6 0.70 0.52 0.09 8 0.6 0.20 0.05 0.03 USA, California, San Francisco: Black 85 7.7 0.85 0.97 0.12 24 1.7 0.37 0.21 0.05 USA, Connecticut: White 634 6.3 0.26 0.82 0.04 174 1.4 0.12 0.18 0.02 USA, Connecticut: Black 60 11.1 1.44 1.55 0.23 21 2.8 0.63 0.38 0.09 USA, Georgia, Atlanta: White 264 6.5 0.41 0.86 0.06 59 1.2 0.16 0.18 0.03 USA, Georgia, Atlanta: Black 113 8.8 0.86 1.20 0.14 21 1.3 0.29 0.16 0.04 USA, Iowa 554 5.8 0.26 0.76 0.04 149 1.4 0.12 0.17 0.02 USA, Louisiana, Central Region: White 39 5.4 0.90 0.60 0.12 22 2.7 0.61 0.34 0.08 USA, Louisiana, Central Region: Black 11 7.3 2.29 0.88 0.30 2 0.7 0.52 0.08 0.08 USA, Louisiana, New Orleans: White 159 7.9 0.65 1.03 0.09 51 2.0 0.31 0.23 0.04 USA, Louisiana, New Orleans: Black 129 17.3 1.54 2.20 0.22 26 2.4 0.47 0.29 0.07 USA, Michigan, Detroit: White 614 6.3 0.26 0.82 0.04 147 1.3 0.11 0.16 0.02 USA, Michigan, Detroit: Black 247 10.9 0.71 1.39 0.10 65 2.2 0.28 0.26 0.04 USA, New Jersey: White 1360 6.1 0.17 0.77 0.02 373 1.4 0.08 0.18 0.01 USA, New Jersey: Black 258 10.7 0.67 1.42 0.10 65 2.0 0.25 0.26 0.04 USA, New Mexico: Non-Hispanic White 147 4.8 0.41 0.60 0.06 42 1.2 0.19 0.15 0.03 USA, New Mexico: Hispanic White 54 3.7 0.51 0.49 0.08 9 0.5 0.16 0.06 0.03 USA, New Mexico: American Indian 1 0.6 0.58 0.07 0.07 0 - - - - USA, New York State: White 2892 6.2 0.12 0.78 0.02 867 1.5 0.06 0.19 0.01 USA, New York State: Black 551 8.3 0.36 1.05 0.05 171 1.8 0.14 0.22 0.02 USA, Utah 121 2.4 0.23 0.29 0.03 30 0.7 0.12 0.08 0.02 USA, Washington, Seattle 507 4.6 0.21 0.61 0.03 134 1.0 0.10 0.13 0.01 USA, SEER: White 3316 5.3 0.10 0.70 0.01 844 1.2 0.04 0.15 0.01 USA, SEER: Black 535 9.6 0.42 1.26 0.06 142 2.0 0.17 0.25 0.02

Asia*China, Beijing 153 1.8 0.15 0.24 0.02 57 0.7 0.09 0.10 0.01

+*China, Changle *China, Cixian *China, Hong Kong 1080 5.8 0.18 0.75 0.03 98 0.5 0.05 0.06 0.01*China, Jiashan 11 1.0 0.30 0.11 0.04 1 0.1 0.11 0.01 0.01

+*China, Qidong County 23 0.8 0.16 0.11 0.03 3 0.1 0.04 0.01 0.01+*China, Shanghai 620 2.3 0.10 0.32 0.01 92 0.3 0.04 0.05 0.01

*China, Taiwan 418 3.5 0.18 0.45 0.02 29 0.3 0.05 0.04 0.01*China, Tianjin 419 3.7 0.18 0.47 0.03 215 1.7 0.12 0.23 0.02+China, Wuhan 366 3.7 0.20 0.45 0.03 62 0.6 0.07 0.08 0.01

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rates and standard errorsLarynx (C32) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 345 6.1 0.34 0.75 0.05 21 0.4 0.08 0.05 0.01*India, Bangalore 288 3.7 0.23 0.49 0.03 38 0.5 0.09 0.06 0.01 India, Chennai (Madras) 358 4.7 0.25 0.59 0.04 39 0.5 0.09 0.07 0.01*India, Delhi 1086 9.4 0.30 1.22 0.04 135 1.4 0.12 0.17 0.02*India, Karunagappally 29 3.5 0.66 0.47 0.10 0 - - - - India, Mumbai (Bombay) 1138 7.0 0.22 0.90 0.03 182 1.2 0.09 0.15 0.01*India, Nagpur 173 9.7 0.75 1.23 0.11 16 0.9 0.24 0.13 0.04*India, Poona 295 7.6 0.46 1.01 0.07 51 1.3 0.19 0.15 0.02*India, Trivandrum 93 4.2 0.43 0.52 0.06 3 0.1 0.06 0.01 0.01 Israel: Jews 619 5.0 0.21 0.64 0.03 83 0.5 0.06 0.06 0.01 Israel: Jews born in Israel 77 3.9 0.52 0.50 0.08 15 0.7 0.20 0.07 0.02 Israel: Jews born in Europe or America 352 5.5 0.34 0.70 0.04 53 0.6 0.12 0.07 0.01 Israel: Jews born in Africa or Asia 190 5.0 0.38 0.64 0.05 15 0.3 0.09 0.04 0.01 Israel: Non-Jews 67 5.4 0.69 0.73 0.12 5 0.3 0.16 0.05 0.03 Japan, Hiroshima 145 4.0 0.34 0.50 0.05 9 0.2 0.07 0.02 0.01*Japan, Miyagi Prefecture 351 3.8 0.21 0.51 0.03 20 0.2 0.04 0.02 0.01*Japan, Nagasaki Prefecture 276 4.2 0.26 0.55 0.04 7 0.1 0.03 0.01 0.00*Japan, Osaka Prefecture 997 3.2 0.10 0.41 0.02 72 0.2 0.02 0.02 0.00*Japan, Saga Prefecture 117 3.1 0.30 0.41 0.04 11 0.2 0.06 0.01 0.01*Japan, Yamagata Prefecture 143 2.4 0.21 0.31 0.03 8 0.1 0.04 0.01 0.00*Korea, Busan 161 5.8 0.49 0.79 0.08 27 0.7 0.14 0.08 0.02*Korea, Daegu 108 6.1 0.61 0.86 0.10 15 0.6 0.15 0.07 0.02*Korea, Kangwha County 12 5.2 1.53 0.56 0.18 2 0.5 0.37 0.06 0.06*Korea, Seoul 842 5.3 0.19 0.68 0.03 105 0.4 0.04 0.05 0.01*Kuwait: Kuwaitis 20 3.5 0.80 0.52 0.14 2 0.4 0.31 0.09 0.07*Kuwait: Non-Kuwaitis 29 2.1 0.75 0.38 0.17 3 0.5 0.32 0.06 0.04*Oman: Omani 30 1.6 0.29 0.19 0.04 5 0.2 0.11 0.03 0.01*Pakistan, South Karachi 125 8.8 0.83 1.11 0.12 18 1.5 0.38 0.16 0.05*Philippines, Manila 369 7.0 0.38 0.93 0.06 79 1.2 0.14 0.14 0.02*Philippines, Rizal 257 4.9 0.33 0.63 0.05 56 0.9 0.13 0.13 0.02 Singapore: Chinese 293 5.8 0.34 0.72 0.05 27 0.4 0.08 0.06 0.01 Singapore: Indian 33 5.0 0.89 0.61 0.12 3 0.9 0.51 0.16 0.10 Singapore: Malay 21 2.8 0.63 0.30 0.08 1 0.1 0.13 0.02 0.02*Thailand, Bangkok 251 4.1 0.26 0.50 0.04 20 0.2 0.06 0.03 0.01*Thailand, Chiang Mai 140 4.1 0.34 0.50 0.05 44 1.2 0.18 0.18 0.03*Thailand, Khon Kaen 38 1.4 0.22 0.17 0.03 1 0.0 0.03 0.01 0.01*Thailand, Lampang 68 3.5 0.43 0.44 0.07 20 1.0 0.23 0.14 0.04*Thailand, Songkhla 58 3.3 0.43 0.43 0.07 6 0.3 0.13 0.03 0.02*Viet Nam, Hanoi 63 1.5 0.19 - - 9 0.2 0.06 - - *Viet Nam, Ho Chi Minh City 246 4.6 0.29 0.52 0.04 32 0.4 0.07 0.05 0.01

Europe Austria, Tyrol 110 5.7 0.55 0.66 0.07 18 0.7 0.19 0.09 0.02 Austria, Vorarlberg 63 6.3 0.79 0.75 0.10 8 0.6 0.22 0.09 0.03

+*Belarus 3043 10.8 0.20 1.34 0.03 77 0.2 0.03 0.02 0.00*Belgium, Flanders, (excl. Limburg) 568 7.0 0.30 0.88 0.04 50 0.6 0.09 0.07 0.01*Belgium, Limburg 73 6.5 0.77 0.86 0.11 8 0.7 0.26 0.10 0.04*Croatia 1918 12.7 0.29 1.62 0.04 143 0.7 0.06 0.09 0.01 Czech Republic 2414 7.4 0.15 0.89 0.02 192 0.5 0.04 0.06 0.00 Denmark 1071 5.7 0.18 0.75 0.03 224 1.1 0.08 0.14 0.01 Estonia 351 8.1 0.43 1.05 0.06 26 0.4 0.09 0.05 0.01 Finland 527 3.0 0.13 0.38 0.02 55 0.2 0.03 0.03 0.00 France, Bas-Rhin 263 8.7 0.54 1.08 0.07 20 0.5 0.13 0.07 0.02*France, Calvados 225 11.7 0.80 1.45 0.10 14 0.5 0.15 0.06 0.02 France, Cote d’Or France, Doubs 181 11.4 0.86 1.44 0.12 13 0.7 0.21 0.10 0.03 France, Haut-Rhin 162 7.4 0.59 0.92 0.08 15 0.6 0.16 0.08 0.02*France, Herault 302 9.8 0.59 1.28 0.08 21 0.6 0.14 0.06 0.02 France, Isere 277 8.4 0.51 1.01 0.07 20 0.5 0.12 0.07 0.02*France, Manche 125 9.2 0.86 1.07 0.10 11 0.8 0.26 0.09 0.03*France, Somme 220 13.0 0.90 1.56 0.11 11 0.6 0.19 0.06 0.02 France, Tarn 80 5.8 0.69 0.69 0.09 12 0.7 0.22 0.09 0.03 Germany, Saarland 272 6.5 0.40 0.83 0.06 34 0.8 0.15 0.09 0.02 Iceland 21 2.5 0.58 0.26 0.07 3 0.4 0.23 0.04 0.03 Ireland 359 4.1 0.22 0.53 0.03 69 0.7 0.09 0.09 0.01 Italy, Biella Province 62 11.6 1.52 1.64 0.23 8 1.3 0.50 0.15 0.06 Italy, Ferrara Province 174 9.7 0.76 1.30 0.11 16 0.7 0.20 0.08 0.02*Italy, Florence 583 11.2 0.48 1.44 0.07 57 1.0 0.15 0.12 0.02 Italy, Genoa Province 413 11.4 0.60 1.42 0.08 39 0.9 0.16 0.12 0.02 Italy, Liguria Italy, Macerata Province 122 9.1 0.87 1.21 0.12 10 0.9 0.30 0.08 0.03 Italy, Modena Province 223 8.2 0.57 1.14 0.08 25 0.8 0.17 0.09 0.02 Italy, North East 676 13.1 0.52 1.68 0.07 70 1.1 0.14 0.13 0.02

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rates and standard errorsLarynx (C32) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 156 8.6 0.72 1.15 0.10 12 0.7 0.21 0.07 0.02*Italy, Ragusa Province 51 4.6 0.67 0.57 0.09 3 0.3 0.16 0.02 0.02 Italy, Romagna 426 9.5 0.48 1.25 0.07 33 0.6 0.12 0.07 0.02 Italy, Sassari 161 9.8 0.78 1.26 0.11 9 0.5 0.17 0.05 0.02 Italy, Torino 406 10.1 0.51 1.27 0.07 31 0.7 0.13 0.08 0.02 Italy, Umbria 191 8.0 0.61 1.01 0.08 8 0.3 0.13 0.04 0.01 Italy, Varese Province 317 10.2 0.58 1.27 0.08 21 0.5 0.12 0.06 0.02 Italy, Venetian Region 829 14.1 0.50 1.81 0.07 74 0.8 0.11 0.11 0.02*Latvia 618 8.3 0.34 1.07 0.05 26 0.3 0.05 0.03 0.01 Lithuania 1011 9.9 0.31 1.26 0.04 55 0.4 0.05 0.04 0.01 Malta 80 7.2 0.82 0.94 0.12 7 0.5 0.19 0.04 0.02 The Netherlands 3017 5.8 0.11 0.74 0.02 552 1.0 0.04 0.12 0.01 The Netherlands, Eindhoven 199 6.3 0.45 0.80 0.06 34 1.0 0.17 0.13 0.02 The Netherlands, Maastricht 209 6.6 0.46 0.85 0.07 31 0.9 0.17 0.11 0.02 Norway 527 3.3 0.15 0.44 0.02 104 0.6 0.07 0.08 0.01*Poland, Cracow 235 10.6 0.69 1.35 0.10 29 1.0 0.19 0.13 0.02*Poland, Kielce 344 13.0 0.72 1.62 0.09 37 1.3 0.22 0.14 0.02*Poland, Lower Silesia 1076 13.3 0.41 1.64 0.05 133 1.3 0.11 0.14 0.01 Poland, Warsaw City 566 10.2 0.44 1.26 0.06 96 1.3 0.14 0.16 0.02*Portugal, Vila Nova de Gaia 52 6.9 0.97 0.94 0.15 2 0.3 0.19 0.03 0.02*Russia, St Petersburg 668 6.3 0.25 0.80 0.03 48 0.3 0.04 0.03 0.00 Slovakia 1539 10.7 0.28 1.31 0.04 75 0.4 0.05 0.05 0.01 Slovenia 481 7.7 0.35 0.96 0.05 48 0.6 0.09 0.08 0.01 Spain, Albacete 141 11.1 0.99 1.39 0.13 6 0.3 0.14 0.03 0.02 Spain, Asturias 517 15.3 0.70 1.91 0.09 12 0.2 0.08 0.02 0.01*Spain, Canary Islands 335 15.1 0.83 1.88 0.12 13 0.5 0.14 0.05 0.02 Spain, Cuenca 110 14.3 1.49 1.68 0.17 2 0.4 0.27 0.03 0.03 Spain, Girona 112 9.7 0.95 1.18 0.12 3 0.3 0.15 0.03 0.02 Spain, Granada 337 12.8 0.72 1.59 0.10 4 0.1 0.07 0.02 0.01 Spain, Mallorca 226 13.9 0.95 1.77 0.13 9 0.5 0.19 0.06 0.02 Spain, Murcia 393 14.9 0.78 1.88 0.10 15 0.4 0.12 0.05 0.02 Spain, Navarra 264 14.1 0.89 1.71 0.11 10 0.5 0.18 0.06 0.02 Spain, Tarragona 250 11.9 0.78 1.45 0.10 11 0.5 0.15 0.07 0.02*Spain, Zaragoza 558 18.0 0.80 2.20 0.10 15 0.4 0.10 0.04 0.01 Sweden 814 2.2 0.08 0.28 0.01 123 0.3 0.03 0.04 0.00 Switzerland, Basel 68 4.2 0.52 0.53 0.07 9 0.5 0.17 0.07 0.02 Switzerland, Geneva 102 6.8 0.69 0.80 0.09 18 1.3 0.30 0.16 0.04 Switzerland, Graubunden and Glarus 43 5.6 0.88 0.65 0.11 0 - - - - Switzerland, Neuchatel 24 5.1 1.06 0.65 0.15 3 0.3 0.22 0.06 0.04 Switzerland, St Gall-Appenzell 62 3.6 0.47 0.40 0.06 13 0.7 0.21 0.08 0.03*Switzerland, Ticino 35 7.5 1.30 1.02 0.19 6 1.2 0.50 0.16 0.07 Switzerland, Valais 55 6.2 0.85 0.80 0.12 12 1.2 0.36 0.13 0.04 Switzerland, Vaud 104 6.5 0.65 0.82 0.09 10 0.5 0.17 0.05 0.02 Switzerland, Zurich 135 4.0 0.35 0.50 0.05 16 0.4 0.11 0.05 0.01*UK, England 7529 4.1 0.05 0.52 0.01 1711 0.7 0.02 0.10 0.00 UK, England, East Anglia 290 3.3 0.20 0.41 0.03 51 0.5 0.08 0.07 0.01 UK, England, Merseyside and Cheshire 460 5.2 0.25 0.68 0.04 117 1.1 0.11 0.14 0.01 UK, England, North Western 818 5.6 0.20 0.71 0.03 176 1.0 0.08 0.12 0.01 UK, England, Oxford Region 318 3.4 0.19 0.41 0.03 77 0.7 0.09 0.09 0.01*UK, England, South Thames 945 3.7 0.13 0.47 0.02 213 0.6 0.05 0.08 0.01*UK, England, South and Western Regions 895 3.2 0.11 0.40 0.02 193 0.5 0.04 0.07 0.01 UK, England, Trent 733 3.9 0.15 0.50 0.02 187 0.9 0.07 0.12 0.01*UK, England, West Midlands Region 857 4.3 0.15 0.55 0.02 186 0.8 0.06 0.10 0.01 UK, England, Yorkshire 584 4.2 0.18 0.52 0.03 155 0.9 0.08 0.13 0.01 UK, Northern Ireland 270 5.4 0.34 0.70 0.05 64 1.0 0.13 0.13 0.02 UK, Scotland 1137 6.3 0.19 0.79 0.03 311 1.4 0.09 0.18 0.01*Yugoslavia, Vojvodina 786 10.6 0.38 1.32 0.05 77 1.0 0.12 0.11 0.01

Oceania Australia, Capital Territory 25 3.8 0.77 0.51 0.12 4 0.5 0.27 0.08 0.05 Australia, New South Wales 932 4.7 0.16 0.61 0.02 107 0.5 0.05 0.06 0.01 Australia, Northern Territory 26 9.8 2.04 1.58 0.39 3 1.2 0.73 0.21 0.15 Australia, Queensland 471 4.6 0.22 0.61 0.03 51 0.5 0.07 0.06 0.01 Australia, South 191 3.7 0.28 0.52 0.04 20 0.4 0.09 0.05 0.01 Australia, Tasmania 56 3.6 0.50 0.49 0.07 15 0.8 0.22 0.11 0.03 Australia, Victoria 661 4.6 0.18 0.61 0.03 92 0.6 0.06 0.08 0.01 Australia, Western 208 4.1 0.29 0.54 0.04 29 0.6 0.11 0.08 0.02 New Zealand 354 3.2 0.17 0.41 0.03 63 0.5 0.06 0.06 0.01 USA, Hawaii: White 60 6.7 0.89 0.88 0.13 9 0.9 0.33 0.10 0.04 USA, Hawaii: Chinese 6 1.9 0.88 0.19 0.11 0 - - - - USA, Hawaii: Filipino 11 1.8 0.58 0.18 0.07 1 0.2 0.21 0.02 0.02 USA, Hawaii: Hawaiian 24 5.3 1.10 0.65 0.15 8 1.6 0.58 0.24 0.10 USA, Hawaii: Japanese 38 2.9 0.52 0.36 0.07 3 0.2 0.11 0.02 0.02

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsTrachea, bronchus and lung (C33-34)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 635 17.2 0.71 2.11 0.10 73 1.9 0.24 0.25 0.04*France, La Reunion 162 33.9 2.69 4.49 0.43 18 2.8 0.67 0.33 0.10*The Gambia 22 5.1 1.11 - - 3 0.5 0.34 - - *Mali, Bamako 12 2.7 0.80 0.38 0.13 1 0.1 0.14 0.01 0.01*Uganda, Kyadondo County 33 3.9 0.84 0.51 0.13 23 2.3 0.59 0.27 0.08*Zimbabwe, Harare: African 152 13.6 1.28 1.66 0.20 48 6.2 1.05 0.85 0.19

America, Central and South*Argentina, Bahia Blanca 518 49.5 2.19 6.33 0.32 107 7.4 0.75 0.88 0.10*Argentina, Concordia 126 41.1 3.68 4.85 0.51 24 6.6 1.38 0.89 0.20*Brazil, Campinas 289 19.0 1.13 2.49 0.18 91 4.5 0.48 0.51 0.07*Brazil, Goiania 248 22.3 1.45 2.74 0.22 118 8.5 0.79 1.08 0.12 Colombia, Cali 584 22.3 0.94 2.70 0.14 321 9.5 0.55 1.14 0.08*Costa Rica 298 12.3 0.73 1.50 0.11 137 5.0 0.44 0.60 0.07*Cuba, Villa Clara 694 40.1 1.58 4.48 0.22 292 17.3 1.05 1.95 0.15*Ecuador, Quito 172 8.8 0.69 1.01 0.10 113 4.4 0.42 0.45 0.06*France, Martinique 124 11.5 1.07 1.45 0.15 38 2.8 0.48 0.36 0.07*USA, Puerto Rico 778 19.5 0.72 2.50 0.11 313 6.5 0.38 0.80 0.06*Uruguay, Montevideo 1885 76.5 1.81 9.52 0.25 332 9.4 0.56 1.12 0.07

America, North Canada 57123 59.1 0.25 7.54 0.04 34170 30.8 0.18 3.93 0.03 Canada, Alberta 3730 47.5 0.79 6.02 0.12 2426 28.7 0.61 3.71 0.09 Canada, British Columbia 6415 47.8 0.62 5.98 0.09 4787 31.6 0.49 3.99 0.07 Canada, Manitoba 2258 56.6 1.25 7.23 0.19 1494 33.8 0.96 4.34 0.14 Canada, New Brunswick 1760 69.1 1.71 8.93 0.26 848 29.4 1.08 3.83 0.16 Canada, Newfoundland 841 50.2 1.77 6.78 0.27 294 16.9 1.02 2.20 0.15 Canada, Northwest Territories 196 87.2 6.43 12.14 1.07 145 72.0 6.22 9.10 0.94 Canada, Nova Scotia 2150 67.6 1.52 8.89 0.23 1282 35.5 1.07 4.64 0.15 Canada, Ontario 19681 54.2 0.40 6.92 0.06 12608 29.8 0.28 3.85 0.04 Canada, Prince Edward Island 299 63.3 3.84 7.97 0.58 192 38.3 2.99 4.82 0.42+Canada, Quebec 18051 77.4 0.58 9.81 0.09 9089 32.7 0.36 4.08 0.05 Canada, Saskatchewan 1833 47.9 1.20 6.14 0.18 1070 27.0 0.91 3.56 0.13 Canada, Yukon 96 59.8 6.31 7.86 1.01 48 35.7 5.34 4.77 0.86 USA, California, Los Angeles: Non-Hispanic White 7389 50.2 0.62 6.32 0.09 6769 37.6 0.53 4.81 0.07 USA, California, Los Angeles: Hispanic White 1137 34.6 1.05 4.39 0.18 742 15.5 0.58 1.87 0.09 USA, California, Los Angeles: Black 1854 80.2 1.89 10.33 0.28 1138 35.6 1.10 4.75 0.16 USA, California, Los Angeles: Chinese 222 25.8 1.79 3.01 0.26 158 15.5 1.27 1.61 0.18 USA, California, Los Angeles: Filipino 293 50.0 3.04 7.35 0.54 107 12.4 1.26 1.31 0.17 USA, California, Los Angeles: Japanese 157 27.3 2.32 3.03 0.30 109 16.3 1.65 1.98 0.22 USA, California, Los Angeles: Korean 142 35.8 3.12 4.26 0.46 61 10.6 1.39 1.11 0.19 USA, California, San Francisco: Non-Hispanic White 4169 51.4 0.85 6.49 0.13 3905 38.9 0.71 5.10 0.10 USA, California, San Francisco: Hispanic White 332 33.9 1.89 4.39 0.29 318 24.3 1.43 3.17 0.22 USA, California, San Francisco: Black 860 73.7 2.58 9.20 0.38 530 37.5 1.69 4.70 0.23 USA, Connecticut: White 6088 56.1 0.76 7.19 0.11 5073 37.9 0.60 4.88 0.09 USA, Connecticut: Black 423 76.2 3.75 9.37 0.54 248 31.4 2.05 3.92 0.30 USA, Georgia, Atlanta: White 2578 64.2 1.29 8.51 0.21 1984 37.8 0.90 5.09 0.14 USA, Georgia, Atlanta: Black 954 79.2 2.66 10.44 0.42 498 27.2 1.27 3.57 0.19 USA, Iowa 6613 61.8 0.81 7.94 0.12 3992 31.0 0.55 4.06 0.08 USA, Louisiana, Central Region: White 589 79.4 3.41 10.16 0.50 342 37.7 2.21 5.01 0.32 USA, Louisiana, Central Region: Black 150 91.9 7.83 11.94 1.12 70 28.5 3.69 3.33 0.50 USA, Louisiana, New Orleans: White 1476 68.1 1.83 8.77 0.27 1108 38.0 1.25 5.04 0.18 USA, Louisiana, New Orleans: Black 824 107.0 3.78 13.84 0.57 429 37.9 1.88 4.97 0.28 USA, Michigan, Detroit: White 6824 65.8 0.82 8.53 0.12 5241 40.0 0.60 5.18 0.09 USA, Michigan, Detroit: Black 2260 94.8 2.06 12.44 0.30 1322 40.8 1.18 5.28 0.17 USA, New Jersey: White 14177 58.6 0.52 7.50 0.08 11050 36.3 0.39 4.62 0.05 USA, New Jersey: Black 1964 80.3 1.83 10.39 0.28 1207 34.8 1.03 4.54 0.16 USA, New Mexico: Non-Hispanic White 1545 45.3 1.21 5.76 0.18 1131 29.0 0.93 3.83 0.14 USA, New Mexico: Hispanic White 429 27.7 1.37 3.37 0.21 278 15.8 0.99 2.11 0.15 USA, New Mexico: American Indian 35 15.0 2.63 1.83 0.40 17 5.3 1.34 0.58 0.18 USA, New York State: White 29176 57.2 0.35 7.24 0.05 23565 36.0 0.26 4.57 0.04 USA, New York State: Black 4261 63.6 0.98 8.06 0.15 2800 27.5 0.53 3.53 0.08 USA, Utah 1349 27.2 0.77 3.49 0.12 809 14.3 0.54 1.87 0.08 USA, Washington, Seattle 6362 55.2 0.72 7.07 0.11 5323 39.0 0.58 5.16 0.09 USA, SEER: White 36165 54.4 0.30 6.99 0.05 28036 34.6 0.23 4.54 0.03 USA, SEER: Black 4879 85.9 1.26 11.13 0.19 2789 36.8 0.72 4.74 0.11

Asia*China, Beijing 3072 35.6 0.66 4.68 0.10 2004 22.5 0.52 2.85 0.08

+*China, Changle *China, Cixian *China, Hong Kong 12661 67.5 0.61 8.30 0.09 5971 26.6 0.37 3.00 0.05*China, Jiashan 484 44.1 2.04 6.03 0.31 132 11.0 0.97 1.50 0.15

+*China, Qidong County 1317 44.0 1.22 5.80 0.18 425 11.6 0.58 1.44 0.08+*China, Shanghai 12411 44.4 0.41 5.96 0.06 4976 18.2 0.27 2.31 0.04

*China, Taiwan 4759 38.2 0.57 4.68 0.08 2009 17.9 0.41 2.11 0.06*China, Tianjin 7168 62.8 0.75 8.37 0.12 4976 39.1 0.56 5.21 0.08+China, Wuhan 5052 51.2 0.74 6.85 0.11 1594 14.7 0.37 1.90 0.06

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsTrachea, bronchus and lung (C33-34) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 649 11.4 0.47 1.52 0.07 126 2.5 0.23 0.33 0.04*India, Bangalore 511 6.7 0.30 0.90 0.05 113 1.7 0.16 0.20 0.02 India, Chennai (Madras) 850 11.1 0.39 1.41 0.06 172 2.3 0.18 0.29 0.03*India, Delhi 1521 13.4 0.36 1.73 0.05 288 2.9 0.18 0.36 0.03*India, Karunagappally 158 18.6 1.51 2.53 0.23 28 3.0 0.58 0.40 0.09 India, Mumbai (Bombay) 1928 12.1 0.29 1.59 0.05 554 3.8 0.17 0.46 0.03*India, Nagpur 150 8.4 0.70 1.03 0.10 21 1.3 0.29 0.15 0.04*India, Poona 299 7.5 0.45 0.99 0.07 118 3.1 0.29 0.40 0.04*India, Trivandrum 197 9.0 0.64 1.22 0.10 33 1.3 0.23 0.15 0.03 Israel: Jews 3706 28.7 0.49 3.65 0.07 1707 10.3 0.27 1.22 0.04 Israel: Jews born in Israel 381 20.2 1.21 2.42 0.17 231 10.9 0.83 1.39 0.13 Israel: Jews born in Europe or America 2195 30.7 0.75 3.93 0.10 1157 11.5 0.42 1.37 0.05 Israel: Jews born in Africa or Asia 1130 28.7 0.86 3.68 0.13 319 7.5 0.49 0.89 0.06 Israel: Non-Jews 422 35.1 1.76 4.38 0.27 64 4.3 0.56 0.44 0.08 Japan, Hiroshima 1454 40.3 1.07 4.84 0.17 555 11.8 0.52 1.41 0.08*Japan, Miyagi Prefecture 3984 41.9 0.67 5.13 0.10 1420 11.6 0.33 1.32 0.05*Japan, Nagasaki Prefecture 3127 43.8 0.81 5.28 0.12 1318 12.9 0.40 1.51 0.06*Japan, Osaka Prefecture 14056 44.6 0.38 5.17 0.06 5740 13.3 0.18 1.50 0.03*Japan, Saga Prefecture 1660 40.5 1.03 4.88 0.15 647 10.5 0.47 1.16 0.07*Japan, Yamagata Prefecture 2617 39.8 0.81 4.71 0.12 944 11.3 0.42 1.25 0.05*Korea, Busan 1270 51.3 1.56 6.84 0.24 471 12.4 0.58 1.48 0.09*Korea, Daegu 757 46.2 1.76 6.22 0.28 324 13.3 0.75 1.69 0.12*Korea, Kangwha County 110 44.8 4.43 5.60 0.65 21 6.7 1.56 0.72 0.19*Korea, Seoul 7419 49.0 0.61 6.27 0.10 2939 12.7 0.24 1.55 0.04*Kuwait: Kuwaitis 121 21.5 2.00 2.70 0.32 33 5.6 1.00 0.58 0.13*Kuwait: Non-Kuwaitis 131 23.8 3.33 2.57 0.44 21 8.4 1.96 0.91 0.29*Oman: Omani 144 7.7 0.65 0.99 0.10 46 2.6 0.40 0.35 0.06*Pakistan, South Karachi 273 21.0 1.32 2.71 0.20 34 2.9 0.53 0.38 0.08*Philippines, Manila 3013 57.0 1.10 7.40 0.17 1035 15.5 0.50 1.89 0.08*Philippines, Rizal 2423 46.4 1.00 6.07 0.16 776 12.1 0.45 1.51 0.07 Singapore: Chinese 2812 55.8 1.07 6.89 0.17 1335 19.9 0.56 2.29 0.08 Singapore: Indian 68 10.0 1.25 1.18 0.17 17 5.4 1.38 0.42 0.15 Singapore: Malay 241 31.5 2.05 4.05 0.31 86 10.7 1.19 1.30 0.18*Thailand, Bangkok 1571 25.7 0.66 3.12 0.10 612 7.8 0.32 0.93 0.05*Thailand, Chiang Mai 1228 35.3 1.01 4.61 0.15 908 26.1 0.87 3.35 0.12*Thailand, Khon Kaen 569 18.5 0.80 2.34 0.12 236 6.6 0.44 0.82 0.06*Thailand, Lampang 1073 56.7 1.75 7.39 0.26 588 29.1 1.21 4.02 0.19*Thailand, Songkhla 272 15.0 0.92 1.95 0.14 96 4.7 0.49 0.62 0.07*Viet Nam, Hanoi 1437 34.4 0.92 - - 353 7.2 0.39 - - *Viet Nam, Ho Chi Minh City 1485 26.9 0.71 3.45 0.11 604 7.5 0.31 0.95 0.05

Europe Austria, Tyrol 1017 49.5 1.58 6.11 0.23 357 12.9 0.75 1.53 0.10 Austria, Vorarlberg 547 54.3 2.34 7.02 0.35 153 11.3 0.98 1.36 0.13

+*Belarus 19886 69.5 0.50 9.26 0.07 2433 4.9 0.10 0.61 0.01*Belgium, Flanders, (excl. Limburg) 5103 57.5 0.83 7.29 0.12 942 9.8 0.35 1.15 0.04*Belgium, Limburg 756 63.8 2.34 8.62 0.36 142 11.7 1.01 1.52 0.14*Croatia 11402 74.3 0.70 10.05 0.11 2298 10.8 0.24 1.38 0.03 Czech Republic 24430 73.0 0.47 9.45 0.07 5685 12.3 0.17 1.49 0.02 Denmark 10128 49.0 0.51 6.49 0.08 6669 29.7 0.39 3.94 0.06 Estonia 3209 73.0 1.30 9.89 0.20 665 8.7 0.36 1.14 0.05 Finland 8197 44.9 0.50 5.85 0.08 2281 8.8 0.20 1.06 0.03 France, Bas-Rhin 1921 62.7 1.44 8.15 0.21 346 8.8 0.51 1.11 0.07*France, Calvados 1068 53.0 1.66 6.58 0.22 146 5.7 0.52 0.66 0.06 France, Cote d’Or France, Doubs 895 55.2 1.87 7.01 0.27 159 7.9 0.67 0.92 0.09 France, Haut-Rhin 1248 56.0 1.60 7.28 0.23 221 8.1 0.58 0.97 0.07*France, Herault 1470 44.7 1.22 5.60 0.17 263 7.2 0.48 0.86 0.06 France, Isere 1757 51.1 1.24 6.39 0.18 321 7.4 0.45 0.89 0.06*France, Manche 721 49.6 1.94 6.16 0.26 90 5.4 0.63 0.64 0.08*France, Somme 1044 55.9 1.79 7.11 0.24 125 5.6 0.55 0.70 0.07 France, Tarn 677 43.4 1.79 5.32 0.24 100 5.5 0.63 0.66 0.08 Germany, Saarland 2797 63.7 1.22 8.23 0.18 729 13.5 0.55 1.68 0.07 Iceland 253 29.6 1.93 3.98 0.30 208 22.8 1.69 2.79 0.24 Ireland 3903 42.5 0.70 5.53 0.11 2009 17.7 0.43 2.30 0.06 Italy, Biella Province 399 70.5 3.67 9.46 0.55 85 10.0 1.26 1.26 0.18 Italy, Ferrara Province 1273 68.4 2.01 9.14 0.29 284 11.9 0.80 1.56 0.11*Italy, Florence 3342 57.7 1.05 7.48 0.15 752 10.1 0.42 1.21 0.06 Italy, Genoa Province 2649 66.6 1.37 8.56 0.20 648 11.9 0.55 1.47 0.07 Italy, Liguria Italy, Macerata Province 732 49.1 1.94 6.65 0.28 106 5.9 0.66 0.71 0.09 Italy, Modena Province 1882 64.0 1.54 8.43 0.23 385 10.7 0.61 1.33 0.08 Italy, North East 3177 56.3 1.03 7.20 0.15 927 11.3 0.43 1.37 0.06

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsTrachea, bronchus and lung (C33-34) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 1211 59.7 1.82 7.83 0.26 275 9.9 0.70 1.21 0.09*Italy, Ragusa Province 440 36.9 1.84 4.78 0.26 71 4.6 0.60 0.49 0.08 Italy, Romagna 2957 60.3 1.16 7.89 0.17 660 11.1 0.49 1.36 0.07 Italy, Sassari 917 52.1 1.77 6.86 0.27 141 6.5 0.59 0.82 0.08 Italy, Torino 2772 63.9 1.25 8.10 0.18 696 11.7 0.50 1.42 0.07 Italy, Umbria 1219 47.5 1.44 6.20 0.21 263 8.9 0.62 1.07 0.08 Italy, Varese Province 2218 68.1 1.47 8.98 0.22 437 9.7 0.51 1.18 0.07 Italy, Venetian Region 4595 72.5 1.10 9.44 0.16 1097 12.6 0.42 1.57 0.06*Latvia 4769 63.5 0.93 8.35 0.14 847 6.4 0.23 0.81 0.03 Lithuania 6875 65.8 0.80 8.79 0.12 1106 6.3 0.20 0.77 0.03 Malta 537 45.7 2.01 5.66 0.29 72 4.9 0.60 0.59 0.08 The Netherlands 35244 64.7 0.35 8.39 0.05 9501 16.3 0.18 2.05 0.02 The Netherlands, Eindhoven 2368 73.0 1.51 9.20 0.23 520 14.7 0.66 1.81 0.09 The Netherlands, Maastricht 2230 67.1 1.44 8.81 0.22 609 16.9 0.72 2.11 0.10 Norway 6215 36.4 0.49 4.79 0.07 3021 16.6 0.33 2.16 0.05*Poland, Cracow 1570 69.6 1.76 9.03 0.25 562 17.3 0.76 2.15 0.11*Poland, Kielce 2048 73.4 1.65 9.74 0.24 322 8.7 0.51 1.02 0.07*Poland, Lower Silesia 7575 92.5 1.08 12.03 0.15 2220 19.4 0.43 2.29 0.06 Poland, Warsaw City 3696 64.4 1.07 8.29 0.15 1717 20.6 0.52 2.68 0.07*Portugal, Vila Nova de Gaia 356 47.0 2.51 6.39 0.40 55 5.5 0.77 0.71 0.12*Russia, St Petersburg 6649 62.2 0.78 8.22 0.12 1630 7.3 0.20 0.88 0.03 Slovakia 10515 71.4 0.70 9.33 0.10 1687 8.2 0.21 0.95 0.03 Slovenia 4087 66.2 1.04 8.61 0.15 872 10.1 0.36 1.26 0.05 Spain, Albacete 546 38.2 1.73 4.99 0.25 48 3.2 0.51 0.36 0.06 Spain, Asturias 2382 63.4 1.36 7.89 0.19 223 4.5 0.35 0.51 0.04*Spain, Canary Islands 1221 52.4 1.52 6.53 0.23 168 6.1 0.49 0.72 0.07 Spain, Cuenca 386 36.6 2.12 4.46 0.27 29 2.1 0.51 0.23 0.06 Spain, Girona 677 50.7 2.05 6.63 0.30 70 4.5 0.61 0.50 0.08 Spain, Granada 1424 49.7 1.37 6.27 0.19 135 3.9 0.36 0.41 0.04 Spain, Mallorca 1116 61.9 1.93 7.93 0.28 106 4.8 0.52 0.55 0.07 Spain, Murcia 1429 49.5 1.35 6.26 0.20 134 3.8 0.36 0.45 0.05 Spain, Navarra 1064 49.4 1.58 6.09 0.22 109 4.5 0.49 0.49 0.06 Spain, Tarragona 1105 46.8 1.49 5.85 0.21 128 4.8 0.47 0.54 0.06*Spain, Zaragoza 1776 50.3 1.25 6.47 0.18 166 3.7 0.34 0.36 0.04 Sweden 8490 22.0 0.26 2.92 0.04 5162 12.9 0.20 1.66 0.03 Switzerland, Basel 790 43.0 1.58 5.52 0.24 331 15.0 0.90 1.84 0.12 Switzerland, Geneva 703 43.6 1.72 5.62 0.26 293 17.2 1.06 2.11 0.15 Switzerland, Graubunden and Glarus 388 47.9 2.53 6.30 0.38 101 9.8 1.10 1.16 0.15 Switzerland, Neuchatel 280 56.9 3.50 7.57 0.51 91 15.8 1.87 1.91 0.23 Switzerland, St Gall-Appenzell 740 40.7 1.56 5.28 0.24 213 10.3 0.77 1.30 0.10*Switzerland, Ticino 229 46.5 3.16 6.67 0.51 72 12.6 1.61 1.65 0.22 Switzerland, Valais 432 46.8 2.31 6.21 0.34 130 12.8 1.19 1.53 0.15 Switzerland, Vaud 944 53.9 1.82 7.03 0.27 344 15.6 0.92 1.93 0.13 Switzerland, Zurich 1562 43.7 1.13 5.47 0.17 551 12.6 0.58 1.52 0.08*UK, England 104901 51.2 0.17 6.39 0.02 57382 22.0 0.10 2.89 0.02 UK, England, East Anglia 4128 40.8 0.68 4.99 0.10 2078 16.8 0.42 2.17 0.06 UK, England, Merseyside and Cheshire 6370 65.8 0.85 8.29 0.13 3965 32.0 0.56 4.31 0.08 UK, England, North Western 10010 62.7 0.65 7.79 0.10 5676 28.5 0.42 3.80 0.06 UK, England, Oxford Region 4401 44.3 0.69 5.49 0.11 2374 19.5 0.44 2.55 0.07*UK, England, South Thames 13635 46.8 0.43 5.70 0.06 7880 20.7 0.27 2.67 0.04*UK, England, South and Western Regions 13246 42.8 0.40 5.25 0.06 6873 17.7 0.25 2.27 0.04 UK, England, Trent 11266 54.3 0.53 6.77 0.08 5507 22.3 0.33 2.99 0.05*UK, England, West Midlands Region 11356 50.6 0.49 6.30 0.07 5380 19.2 0.29 2.51 0.04 UK, England, Yorkshire 8251 53.8 0.62 6.79 0.09 4844 25.4 0.41 3.34 0.06 UK, Northern Ireland 2838 52.1 1.01 6.67 0.15 1569 22.7 0.62 3.03 0.09 UK, Scotland 14310 71.6 0.62 8.97 0.09 9397 35.5 0.40 4.66 0.06*Yugoslavia, Vojvodina 6012 79.1 1.03 10.20 0.14 1182 13.4 0.40 1.63 0.05

Oceania Australia, Capital Territory 202 29.4 2.11 3.74 0.32 141 17.3 1.51 2.18 0.23 Australia, New South Wales 8982 42.0 0.46 5.36 0.07 4101 16.8 0.28 2.16 0.04 Australia, Northern Territory 178 66.4 5.29 8.47 0.82 73 29.8 3.69 3.81 0.60 Australia, Queensland 4820 43.6 0.64 5.60 0.10 1885 15.7 0.39 1.97 0.05 Australia, South 2346 42.3 0.91 5.43 0.14 1016 16.0 0.55 1.99 0.08 Australia, Tasmania 787 48.1 1.77 6.02 0.26 343 19.7 1.13 2.54 0.16 Australia, Victoria 6699 43.4 0.54 5.62 0.08 3097 16.9 0.33 2.14 0.05 Australia, Western 2296 43.1 0.92 5.54 0.14 1059 17.8 0.58 2.22 0.09 New Zealand 4991 42.2 0.61 5.32 0.09 2867 21.5 0.43 2.81 0.06 USA, Hawaii: White 502 50.6 2.34 6.60 0.36 350 33.4 1.90 4.40 0.29 USA, Hawaii: Chinese 116 38.2 3.87 5.37 0.61 69 18.3 2.47 2.20 0.37 USA, Hawaii: Filipino 311 54.9 3.36 7.13 0.49 116 20.5 1.93 2.36 0.27 USA, Hawaii: Hawaiian 286 64.9 3.90 8.77 0.57 198 40.4 2.93 5.24 0.44 USA, Hawaii: Japanese 504 32.7 1.62 4.13 0.24 265 14.4 1.01 1.77 0.14

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsOther thoracic organs (C37-38)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 10 0.2 0.07 0.02 0.01 7 0.2 0.06 0.01 0.01*France, La Reunion 4 0.7 0.35 0.04 0.03 1 0.2 0.18 0.02 0.02*The Gambia 0 - - - - 0 - - - - *Mali, Bamako 0 - - - - 0 - - - - *Uganda, Kyadondo County 2 0.3 0.22 0.06 0.05 5 0.5 0.25 0.07 0.04*Zimbabwe, Harare: African 6 0.3 0.19 0.06 0.04 6 0.3 0.19 0.04 0.03

America, Central and South*Argentina, Bahia Blanca 10 1.0 0.32 0.13 0.05 5 0.3 0.18 0.03 0.02*Argentina, Concordia 2 0.6 0.43 0.04 0.04 0 - - - - *Brazil, Campinas 5 0.2 0.11 0.03 0.01 2 0.1 0.06 - - *Brazil, Goiania 13 1.0 0.28 0.13 0.05 7 0.4 0.17 0.03 0.02 Colombia, Cali 19 0.6 0.14 0.07 0.02 16 0.5 0.12 0.07 0.02*Costa Rica 17 0.6 0.15 0.07 0.02 7 0.3 0.10 0.03 0.01*Cuba, Villa Clara 10 0.6 0.20 0.09 0.03 5 0.3 0.16 0.04 0.02*Ecuador, Quito 5 0.2 0.10 0.02 0.01 3 0.1 0.04 0.00 0.00*France, Martinique 4 0.4 0.22 0.06 0.03 4 0.4 0.18 0.04 0.02*USA, Puerto Rico 14 0.4 0.10 0.03 0.01 8 0.2 0.08 0.02 0.01*Uruguay, Montevideo 28 1.2 0.22 0.14 0.03 21 0.7 0.16 0.07 0.02

America, North Canada 468 0.5 0.03 0.05 0.00 298 0.3 0.02 0.03 0.00 Canada, Alberta 28 0.4 0.08 0.04 0.01 12 0.2 0.05 0.01 0.00 Canada, British Columbia 43 0.4 0.06 0.04 0.01 27 0.2 0.04 0.03 0.01 Canada, Manitoba 13 0.4 0.12 0.04 0.01 6 0.1 0.08 0.01 0.01 Canada, New Brunswick 4 0.2 0.08 0.02 0.01 1 0.0 0.02 - - Canada, Newfoundland 2 0.1 0.09 0.00 0.00 2 0.1 0.08 0.01 0.01 Canada, Northwest Territories 1 0.2 0.16 0.01 0.01 1 0.7 0.68 0.11 0.11 Canada, Nova Scotia 12 0.5 0.15 0.04 0.01 8 0.2 0.09 0.03 0.01 Canada, Ontario 217 0.7 0.05 0.07 0.01 132 0.3 0.03 0.04 0.00 Canada, Prince Edward Island 3 0.8 0.47 0.04 0.03 0 - - - - +Canada, Quebec 137 0.6 0.06 0.06 0.01 95 0.4 0.04 0.03 0.00 Canada, Saskatchewan 9 0.3 0.11 0.03 0.01 14 0.4 0.13 0.05 0.01 Canada, Yukon 0 - - - - 0 - - - - USA, California, Los Angeles: Non-Hispanic White 45 0.4 0.06 0.04 0.01 27 0.2 0.05 0.02 0.00 USA, California, Los Angeles: Hispanic White 43 0.5 0.09 0.04 0.01 6 0.1 0.04 0.01 0.00 USA, California, Los Angeles: Black 10 0.4 0.12 0.03 0.01 9 0.3 0.11 0.03 0.01 USA, California, Los Angeles: Chinese 4 0.4 0.19 0.05 0.03 1 0.1 0.10 0.02 0.02 USA, California, Los Angeles: Filipino 8 1.3 0.47 0.18 0.08 1 0.1 0.08 0.01 0.01 USA, California, Los Angeles: Japanese 2 0.6 0.44 0.06 0.04 0 - - - - USA, California, Los Angeles: Korean 5 0.8 0.39 0.06 0.03 0 - - - - USA, California, San Francisco: Non-Hispanic White 34 0.5 0.10 0.05 0.01 15 0.2 0.07 0.02 0.01 USA, California, San Francisco: Hispanic White 10 0.8 0.27 0.06 0.02 3 0.3 0.17 0.04 0.02 USA, California, San Francisco: Black 4 0.3 0.16 0.02 0.01 9 0.7 0.25 0.06 0.02 USA, Connecticut: White 34 0.4 0.08 0.04 0.01 25 0.3 0.07 0.03 0.01 USA, Connecticut: Black 5 0.9 0.41 0.09 0.04 3 0.3 0.20 0.04 0.03 USA, Georgia, Atlanta: White 13 0.3 0.09 0.04 0.01 9 0.2 0.06 0.02 0.01 USA, Georgia, Atlanta: Black 6 0.4 0.19 0.05 0.03 6 0.3 0.11 0.03 0.02 USA, Iowa 27 0.3 0.07 0.03 0.01 10 0.1 0.04 0.01 0.00 USA, Louisiana, Central Region: White 1 0.2 0.17 0.02 0.02 1 0.1 0.09 0.02 0.02 USA, Louisiana, Central Region: Black 1 0.8 0.78 0.08 0.08 1 0.6 0.57 0.05 0.05 USA, Louisiana, New Orleans: White 5 0.3 0.13 0.02 0.01 4 0.2 0.09 0.02 0.01 USA, Louisiana, New Orleans: Black 4 0.5 0.23 0.03 0.02 4 0.3 0.18 0.02 0.01 USA, Michigan, Detroit: White 32 0.4 0.08 0.04 0.01 25 0.3 0.07 0.03 0.01 USA, Michigan, Detroit: Black 12 0.5 0.16 0.04 0.01 10 0.4 0.11 0.03 0.01 USA, New Jersey: White 88 0.4 0.05 0.04 0.01 66 0.3 0.05 0.03 0.00 USA, New Jersey: Black 16 0.6 0.16 0.06 0.02 9 0.3 0.09 0.02 0.01 USA, New Mexico: Non-Hispanic White 11 0.4 0.14 0.04 0.01 6 0.2 0.07 0.01 0.01 USA, New Mexico: Hispanic White 8 0.5 0.18 0.05 0.02 4 0.2 0.12 0.03 0.02 USA, New Mexico: American Indian 2 0.9 0.67 0.07 0.07 0 - - - - USA, New York State: White 237 0.6 0.04 0.06 0.00 184 0.4 0.03 0.04 0.00 USA, New York State: Black 34 0.5 0.08 0.05 0.01 27 0.2 0.05 0.03 0.01 USA, Utah 20 0.4 0.10 0.04 0.01 12 0.3 0.08 0.02 0.01 USA, Washington, Seattle 45 0.4 0.07 0.04 0.01 40 0.3 0.06 0.03 0.01 USA, SEER: White 227 0.4 0.03 0.04 0.00 144 0.2 0.02 0.02 0.00 USA, SEER: Black 32 0.5 0.09 0.05 0.01 32 0.4 0.08 0.04 0.01

Asia*China, Beijing 45 0.6 0.09 0.06 0.01 21 0.3 0.07 0.03 0.01

+*China, Changle *China, Cixian *China, Hong Kong 89 0.5 0.05 0.05 0.01 45 0.2 0.04 0.03 0.00*China, Jiashan 8 0.7 0.25 0.10 0.04 1 0.1 0.09 0.01 0.01

+*China, Qidong County 14 0.5 0.13 0.05 0.01 8 0.2 0.08 0.02 0.01+*China, Shanghai 321 1.4 0.09 0.15 0.01 158 0.7 0.07 0.07 0.01

*China, Taiwan 130 1.0 0.09 0.10 0.01 69 0.6 0.08 0.07 0.01*China, Tianjin 83 0.8 0.09 0.09 0.01 63 0.5 0.07 0.06 0.01+China, Wuhan 113 1.2 0.12 0.12 0.01 64 0.6 0.08 0.09 0.01

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rates and standard errorsOther thoracic organs (C37-38) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 38 0.6 0.10 0.07 0.02 27 0.5 0.10 0.06 0.01*India, Bangalore 39 0.4 0.07 0.05 0.01 16 0.2 0.05 0.02 0.01 India, Chennai (Madras) 22 0.2 0.05 0.02 0.01 8 0.1 0.04 0.01 0.01*India, Delhi 27 0.1 0.03 0.01 0.00 19 0.1 0.03 0.01 0.00*India, Karunagappally 0 - - - - 0 - - - - India, Mumbai (Bombay) 90 0.5 0.06 0.06 0.01 55 0.3 0.05 0.03 0.01*India, Nagpur 4 0.2 0.10 0.01 0.01 4 0.2 0.12 0.03 0.02*India, Poona 12 0.2 0.07 0.02 0.01 11 0.3 0.09 0.04 0.01*India, Trivandrum 6 0.2 0.09 0.02 0.01 4 0.2 0.09 0.02 0.01 Israel: Jews 116 0.9 0.09 0.10 0.01 72 0.5 0.06 0.05 0.01 Israel: Jews born in Israel 33 0.8 0.17 0.08 0.02 16 0.5 0.15 0.06 0.02 Israel: Jews born in Europe or America 50 0.8 0.15 0.08 0.02 39 0.4 0.07 0.04 0.01 Israel: Jews born in Africa or Asia 33 0.8 0.15 0.11 0.02 17 0.4 0.10 0.04 0.01 Israel: Non-Jews 11 0.5 0.19 0.05 0.02 8 0.5 0.18 0.04 0.02 Japan, Hiroshima 23 0.8 0.17 0.07 0.02 16 0.5 0.16 0.05 0.01*Japan, Miyagi Prefecture 77 1.0 0.13 0.10 0.01 26 0.3 0.07 0.03 0.01*Japan, Nagasaki Prefecture 42 0.8 0.14 0.07 0.01 16 0.3 0.10 0.03 0.01*Japan, Osaka Prefecture 148 0.5 0.05 0.06 0.01 105 0.3 0.04 0.03 0.00*Japan, Saga Prefecture 31 1.0 0.19 0.10 0.02 6 0.2 0.12 0.02 0.01*Japan, Yamagata Prefecture 27 0.7 0.16 0.07 0.01 20 0.3 0.09 0.04 0.01*Korea, Busan 32 1.1 0.24 0.14 0.03 13 0.3 0.09 0.04 0.01*Korea, Daegu 19 1.2 0.29 0.18 0.05 25 1.0 0.21 0.14 0.03*Korea, Kangwha County 3 2.1 1.48 0.10 0.07 1 0.2 0.16 - - *Korea, Seoul 154 0.8 0.07 0.09 0.01 110 0.5 0.05 0.05 0.01*Kuwait: Kuwaitis 4 0.5 0.27 0.05 0.04 0 - - - - *Kuwait: Non-Kuwaitis 5 0.1 0.03 0.00 0.00 2 0.1 0.10 0.01 0.01*Oman: Omani 19 1.0 0.24 0.14 0.04 12 0.6 0.19 0.06 0.02*Pakistan, South Karachi 6 0.3 0.14 0.03 0.02 0 - - - - *Philippines, Manila 30 0.4 0.08 0.04 0.01 22 0.2 0.05 0.02 0.01*Philippines, Rizal 42 0.5 0.10 0.07 0.02 20 0.2 0.06 0.03 0.01 Singapore: Chinese 33 0.6 0.10 0.05 0.01 23 0.3 0.07 0.04 0.01 Singapore: Indian 0 - - - - 2 0.4 0.27 0.02 0.02 Singapore: Malay 7 0.8 0.32 0.10 0.04 1 0.1 0.12 0.01 0.01*Thailand, Bangkok 22 0.2 0.06 0.03 0.01 11 0.1 0.04 0.01 0.00*Thailand, Chiang Mai 10 0.3 0.09 0.03 0.01 2 0.1 0.04 0.01 0.01*Thailand, Khon Kaen 15 0.4 0.10 0.04 0.01 9 0.2 0.08 0.02 0.01*Thailand, Lampang 1 0.1 0.06 0.01 0.01 1 0.1 0.05 0.01 0.01*Thailand, Songkhla 5 0.2 0.09 0.01 0.00 3 0.1 0.08 0.01 0.01*Viet Nam, Hanoi 73 1.7 0.20 - - 42 0.8 0.13 - - *Viet Nam, Ho Chi Minh City 79 1.2 0.15 0.14 0.02 38 0.4 0.07 0.05 0.01

Europe Austria, Tyrol 4 0.2 0.09 0.02 0.01 9 0.4 0.15 0.03 0.01 Austria, Vorarlberg 5 0.5 0.21 0.08 0.04 1 0.1 0.11 0.01 0.01

+*Belarus 205 0.7 0.05 0.08 0.01 130 0.4 0.03 0.04 0.00*Belgium, Flanders, (excl. Limburg) 73 0.9 0.12 0.10 0.01 52 0.6 0.09 0.06 0.01*Belgium, Limburg 2 0.2 0.13 0.01 0.01 3 0.5 0.28 0.03 0.02*Croatia 106 0.7 0.07 0.08 0.01 71 0.4 0.06 0.04 0.01 Czech Republic 313 1.0 0.05 0.11 0.01 253 0.6 0.04 0.06 0.00 Denmark 105 0.6 0.06 0.06 0.01 76 0.3 0.04 0.04 0.01 Estonia 17 0.4 0.10 0.06 0.02 16 0.2 0.07 0.02 0.01 Finland 69 0.4 0.05 0.04 0.01 40 0.2 0.03 0.02 0.00 France, Bas-Rhin 12 0.4 0.11 0.03 0.01 13 0.4 0.11 0.03 0.01*France, Calvados 25 1.2 0.25 0.11 0.03 10 0.4 0.14 0.04 0.02 France, Cote d’Or France, Doubs 19 1.2 0.28 0.16 0.04 12 0.6 0.18 0.08 0.03 France, Haut-Rhin 12 0.5 0.16 0.04 0.02 9 0.3 0.09 0.03 0.01*France, Herault 19 0.7 0.16 0.08 0.02 6 0.2 0.08 0.01 0.01 France, Isere 24 0.7 0.15 0.06 0.02 20 0.6 0.13 0.07 0.02*France, Manche 13 1.0 0.28 0.12 0.03 3 0.2 0.13 0.03 0.01*France, Somme 10 0.5 0.17 0.07 0.03 4 0.1 0.06 0.02 0.01 France, Tarn 15 1.1 0.33 0.11 0.03 5 0.4 0.21 0.04 0.02 Germany, Saarland 19 0.4 0.10 0.05 0.01 6 0.1 0.03 0.01 0.00 Iceland 2 0.3 0.19 0.02 0.01 2 0.3 0.20 0.04 0.03 Ireland 40 0.5 0.08 0.06 0.01 16 0.2 0.04 0.02 0.01 Italy, Biella Province 3 1.0 0.71 0.09 0.05 4 0.6 0.34 0.08 0.04 Italy, Ferrara Province 13 0.8 0.23 0.09 0.03 5 0.2 0.08 0.02 0.01*Italy, Florence 39 0.8 0.17 0.08 0.02 29 0.6 0.16 0.06 0.01 Italy, Genoa Province 47 1.2 0.19 0.10 0.02 24 0.4 0.09 0.04 0.01 Italy, Liguria Italy, Macerata Province 7 0.4 0.16 0.06 0.03 8 0.4 0.16 0.05 0.02 Italy, Modena Province 21 0.8 0.18 0.12 0.03 19 0.5 0.14 0.07 0.02 Italy, North East 28 0.6 0.11 0.07 0.02 29 0.5 0.11 0.05 0.01

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rates and standard errorsOther thoracic organs (C37-38) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 5 0.2 0.11 0.02 0.01 1 0.0 0.01 - - *Italy, Ragusa Province 14 1.1 0.32 0.12 0.04 9 0.5 0.20 0.06 0.03 Italy, Romagna 32 0.7 0.13 0.06 0.01 14 0.3 0.08 0.03 0.01 Italy, Sassari 13 0.8 0.23 0.07 0.02 7 0.3 0.12 0.02 0.01 Italy, Torino 39 0.9 0.16 0.10 0.02 34 0.6 0.12 0.06 0.01 Italy, Umbria 9 0.4 0.15 0.05 0.02 3 0.2 0.14 0.02 0.01 Italy, Varese Province 16 0.7 0.19 0.06 0.02 11 0.6 0.23 0.04 0.01 Italy, Venetian Region 58 1.0 0.15 0.11 0.02 24 0.2 0.06 0.03 0.01*Latvia 84 1.2 0.13 0.13 0.02 46 0.5 0.09 0.05 0.01 Lithuania 74 0.7 0.09 0.08 0.01 51 0.4 0.05 0.04 0.01 Malta 2 0.1 0.11 0.01 0.01 3 0.2 0.13 0.02 0.01 The Netherlands 255 0.5 0.03 0.05 0.00 93 0.2 0.02 0.02 0.00 The Netherlands, Eindhoven 12 0.5 0.14 0.05 0.01 8 0.3 0.10 0.03 0.01 The Netherlands, Maastricht 21 0.7 0.16 0.06 0.02 7 0.3 0.13 0.03 0.01 Norway 91 0.5 0.06 0.06 0.01 29 0.2 0.04 0.02 0.00*Poland, Cracow 21 1.0 0.22 0.11 0.03 22 0.7 0.16 0.07 0.02*Poland, Kielce 28 1.0 0.20 0.11 0.02 21 0.6 0.14 0.06 0.02*Poland, Lower Silesia 181 2.3 0.17 0.26 0.02 111 1.0 0.10 0.11 0.01 Poland, Warsaw City 50 1.0 0.16 0.11 0.02 60 0.8 0.13 0.08 0.01*Portugal, Vila Nova de Gaia 7 0.9 0.35 0.14 0.06 4 0.4 0.21 0.07 0.04*Russia, St Petersburg 75 0.7 0.09 0.09 0.01 75 0.5 0.07 0.05 0.01 Slovakia 111 0.7 0.07 0.08 0.01 74 0.4 0.05 0.04 0.01 Slovenia 29 0.5 0.09 0.05 0.01 10 0.2 0.06 0.01 0.00 Spain, Albacete 3 0.2 0.12 0.01 0.01 2 0.1 0.07 0.01 0.01 Spain, Asturias 19 0.5 0.13 0.06 0.02 10 0.4 0.15 0.03 0.01*Spain, Canary Islands 10 0.4 0.15 0.02 0.01 7 0.2 0.10 0.02 0.01 Spain, Cuenca 3 0.2 0.14 0.03 0.02 1 0.0 0.04 - - Spain, Girona 8 1.0 0.40 0.08 0.03 3 0.5 0.34 0.02 0.02 Spain, Granada 9 0.4 0.12 0.03 0.01 5 0.2 0.12 0.02 0.01 Spain, Mallorca 5 0.4 0.17 0.03 0.01 3 0.2 0.11 0.01 0.01 Spain, Murcia 16 0.6 0.17 0.07 0.02 5 0.1 0.07 0.01 0.01 Spain, Navarra 11 0.7 0.27 0.05 0.02 6 0.4 0.24 0.05 0.02 Spain, Tarragona 13 0.6 0.19 0.07 0.02 6 0.3 0.13 0.03 0.01*Spain, Zaragoza 22 0.8 0.17 0.08 0.02 6 0.2 0.09 0.02 0.01 Sweden 58 0.2 0.03 0.02 0.00 34 0.1 0.02 0.01 0.00 Switzerland, Basel 7 0.5 0.22 0.06 0.02 4 0.2 0.10 0.01 0.01 Switzerland, Geneva 10 0.8 0.25 0.08 0.03 7 0.4 0.17 0.06 0.02 Switzerland, Graubunden and Glarus 8 1.0 0.37 0.11 0.05 1 0.1 0.12 0.02 0.02 Switzerland, Neuchatel 0 - - - - 1 0.2 0.23 0.03 0.03 Switzerland, St Gall-Appenzell 6 0.3 0.14 0.05 0.02 3 0.3 0.15 0.02 0.01*Switzerland, Ticino 2 0.4 0.31 0.06 0.05 3 0.3 0.22 0.03 0.03 Switzerland, Valais 5 0.6 0.28 0.07 0.03 1 0.2 0.16 0.01 0.01 Switzerland, Vaud 8 0.5 0.20 0.05 0.02 3 0.1 0.08 0.02 0.01 Switzerland, Zurich 23 0.8 0.16 0.08 0.02 17 0.4 0.12 0.05 0.01*UK, England 925 0.5 0.02 0.06 0.00 632 0.3 0.01 0.03 0.00 UK, England, East Anglia 28 0.4 0.08 0.04 0.01 14 0.2 0.05 0.02 0.01 UK, England, Merseyside and Cheshire 43 0.5 0.08 0.05 0.01 31 0.3 0.05 0.03 0.01 UK, England, North Western 56 0.4 0.06 0.05 0.01 52 0.4 0.06 0.04 0.01 UK, England, Oxford Region 16 0.2 0.05 0.02 0.01 18 0.2 0.04 0.02 0.01*UK, England, South Thames 123 0.5 0.05 0.06 0.01 95 0.3 0.04 0.04 0.00*UK, England, South and Western Regions 188 0.7 0.06 0.09 0.01 122 0.4 0.05 0.05 0.01 UK, England, Trent 90 0.5 0.05 0.06 0.01 63 0.3 0.05 0.04 0.01*UK, England, West Midlands Region 141 0.7 0.07 0.09 0.01 74 0.3 0.04 0.04 0.01 UK, England, Yorkshire 38 0.3 0.05 0.03 0.01 36 0.3 0.05 0.03 0.01 UK, Northern Ireland 43 0.8 0.13 0.10 0.02 7 0.1 0.05 0.01 0.01 UK, Scotland 65 0.4 0.05 0.04 0.01 51 0.2 0.04 0.03 0.00*Yugoslavia, Vojvodina 108 1.5 0.14 0.19 0.02 58 0.6 0.09 0.08 0.01

Oceania Australia, Capital Territory 1 0.1 0.12 - - 1 0.1 0.09 - - Australia, New South Wales 79 0.4 0.05 0.04 0.01 49 0.2 0.04 0.02 0.00 Australia, Northern Territory 1 0.2 0.17 0.01 0.01 1 0.2 0.23 0.02 0.02 Australia, Queensland 64 0.7 0.09 0.07 0.01 29 0.2 0.05 0.03 0.01 Australia, South 9 0.2 0.07 0.02 0.01 9 0.2 0.06 0.02 0.01 Australia, Tasmania 4 0.2 0.12 0.01 0.01 6 0.3 0.13 0.03 0.02 Australia, Victoria 78 0.5 0.07 0.05 0.01 48 0.4 0.06 0.03 0.01 Australia, Western 26 0.5 0.11 0.05 0.01 7 0.1 0.05 0.01 0.01 New Zealand 107 1.0 0.10 0.10 0.01 37 0.3 0.06 0.03 0.01 USA, Hawaii: White 3 0.4 0.22 0.04 0.03 3 0.5 0.29 0.03 0.02 USA, Hawaii: Chinese 3 1.9 1.10 0.17 0.10 2 0.5 0.38 0.06 0.06 USA, Hawaii: Filipino 4 0.6 0.32 0.07 0.04 0 - - - - USA, Hawaii: Hawaiian 2 0.4 0.29 0.04 0.03 2 0.4 0.29 0.07 0.05 USA, Hawaii: Japanese 9 1.2 0.45 0.09 0.03 7 0.4 0.19 0.05 0.02

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsBone (C40-41)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 94 1.8 0.19 0.14 0.02 56 1.0 0.14 0.08 0.02*France, La Reunion 6 0.9 0.36 0.06 0.03 2 0.3 0.20 0.02 0.01*The Gambia 7 1.0 0.45 - - 4 0.5 0.28 - - *Mali, Bamako 4 0.4 0.28 0.01 0.01 4 0.2 0.12 0.01 0.01*Uganda, Kyadondo County 24 1.3 0.37 0.13 0.06 16 0.7 0.23 0.09 0.05*Zimbabwe, Harare: African 32 1.4 0.36 0.15 0.06 25 0.9 0.25 0.08 0.03

America, Central and South*Argentina, Bahia Blanca 18 1.8 0.42 0.22 0.06 14 1.1 0.30 0.10 0.03*Argentina, Concordia 5 1.4 0.62 0.11 0.06 5 1.4 0.63 0.20 0.09*Brazil, Campinas 16 0.7 0.19 0.04 0.01 11 0.5 0.14 0.02 0.01*Brazil, Goiania 35 1.8 0.31 0.12 0.03 25 1.2 0.24 0.08 0.02 Colombia, Cali 38 1.0 0.18 0.08 0.02 42 1.0 0.16 0.07 0.02*Costa Rica 19 0.5 0.13 0.03 0.01 21 0.6 0.14 0.05 0.01*Cuba, Villa Clara 21 1.2 0.30 0.10 0.03 13 1.1 0.32 0.08 0.03*Ecuador, Quito 33 1.1 0.21 0.10 0.03 37 1.2 0.20 0.10 0.02*France, Martinique 10 1.0 0.31 0.11 0.04 8 0.7 0.24 0.08 0.03*USA, Puerto Rico 29 0.7 0.14 0.07 0.02 19 0.4 0.10 0.04 0.01*Uruguay, Montevideo 25 1.1 0.24 0.10 0.02 32 1.4 0.27 0.12 0.02

America, North Canada 826 1.1 0.04 0.09 0.00 693 0.8 0.03 0.07 0.00 Canada, Alberta 65 1.0 0.12 0.08 0.01 54 0.8 0.11 0.07 0.01 Canada, British Columbia 91 0.9 0.10 0.08 0.01 79 0.8 0.10 0.06 0.01 Canada, Manitoba 27 1.0 0.20 0.08 0.02 25 0.8 0.17 0.06 0.01 Canada, New Brunswick 15 0.7 0.20 0.07 0.02 6 0.3 0.13 0.02 0.01 Canada, Newfoundland 14 0.9 0.24 0.08 0.03 6 0.4 0.17 0.02 0.01 Canada, Northwest Territories 5 1.2 0.57 0.04 0.02 2 0.4 0.30 0.03 0.02 Canada, Nova Scotia 25 1.0 0.22 0.09 0.02 23 0.9 0.20 0.07 0.02 Canada, Ontario 324 1.1 0.06 0.10 0.01 291 0.9 0.06 0.08 0.01 Canada, Prince Edward Island 3 0.7 0.43 0.10 0.06 5 1.4 0.63 0.13 0.06+Canada, Quebec 229 1.2 0.08 0.10 0.01 175 0.9 0.07 0.07 0.01 Canada, Saskatchewan 30 1.1 0.21 0.09 0.02 28 1.0 0.20 0.08 0.02 Canada, Yukon 3 1.0 0.60 0.09 0.06 1 0.7 0.68 0.09 0.09 USA, California, Los Angeles: Non-Hispanic White 107 1.1 0.13 0.09 0.01 100 1.0 0.13 0.08 0.01 USA, California, Los Angeles: Hispanic White 62 0.8 0.12 0.07 0.02 51 0.7 0.11 0.06 0.01 USA, California, Los Angeles: Black 25 1.1 0.22 0.11 0.02 31 1.0 0.20 0.07 0.01 USA, California, Los Angeles: Chinese 2 0.2 0.17 0.01 0.01 2 0.2 0.19 0.02 0.01 USA, California, Los Angeles: Filipino 8 1.3 0.49 0.11 0.06 4 0.5 0.28 0.05 0.03 USA, California, Los Angeles: Japanese 0 - - - - 1 0.3 0.33 0.03 0.03 USA, California, Los Angeles: Korean 3 0.7 0.43 0.04 0.03 4 1.0 0.51 0.04 0.03 USA, California, San Francisco: Non-Hispanic White 56 1.0 0.16 0.09 0.01 50 0.8 0.13 0.07 0.01 USA, California, San Francisco: Hispanic White 12 0.9 0.25 0.07 0.03 8 0.6 0.22 0.06 0.02 USA, California, San Francisco: Black 10 0.8 0.27 0.06 0.02 7 0.4 0.18 0.03 0.01 USA, Connecticut: White 76 1.0 0.13 0.08 0.01 63 0.7 0.11 0.06 0.01 USA, Connecticut: Black 6 0.8 0.35 0.06 0.03 5 0.7 0.33 0.06 0.03 USA, Georgia, Atlanta: White 29 0.9 0.16 0.07 0.01 29 0.8 0.15 0.07 0.01 USA, Georgia, Atlanta: Black 15 0.8 0.23 0.07 0.03 13 0.6 0.18 0.05 0.02 USA, Iowa 91 1.2 0.13 0.10 0.01 66 0.8 0.10 0.06 0.01 USA, Louisiana, Central Region: White 8 1.1 0.40 0.11 0.05 7 1.0 0.44 0.07 0.03 USA, Louisiana, Central Region: Black 2 1.4 1.03 0.19 0.14 0 - - - - USA, Louisiana, New Orleans: White 14 0.9 0.25 0.08 0.02 20 1.0 0.26 0.07 0.02 USA, Louisiana, New Orleans: Black 12 1.3 0.39 0.11 0.04 2 0.1 0.11 0.02 0.02 USA, Michigan, Detroit: White 77 1.0 0.13 0.08 0.01 55 0.6 0.10 0.05 0.01 USA, Michigan, Detroit: Black 23 1.0 0.21 0.09 0.02 13 0.4 0.13 0.04 0.01 USA, New Jersey: White 196 1.2 0.09 0.10 0.01 159 0.9 0.08 0.07 0.01 USA, New Jersey: Black 25 0.9 0.18 0.07 0.01 13 0.4 0.11 0.03 0.01 USA, New Mexico: Non-Hispanic White 34 1.5 0.28 0.13 0.02 20 0.8 0.20 0.06 0.02 USA, New Mexico: Hispanic White 12 0.7 0.22 0.07 0.02 17 1.0 0.26 0.09 0.02 USA, New Mexico: American Indian 1 0.2 0.21 0.01 0.01 3 0.9 0.54 0.08 0.05 USA, New York State: White 481 1.3 0.06 0.11 0.01 414 1.0 0.06 0.08 0.00 USA, New York State: Black 62 0.9 0.11 0.08 0.01 65 0.8 0.10 0.05 0.01 USA, Utah 70 1.4 0.16 0.11 0.02 49 0.9 0.13 0.06 0.01 USA, Washington, Seattle 115 1.2 0.11 0.10 0.01 97 0.9 0.10 0.08 0.01 USA, SEER: White 569 1.1 0.05 0.09 0.00 446 0.8 0.04 0.06 0.00 USA, SEER: Black 63 0.9 0.12 0.08 0.01 41 0.5 0.09 0.04 0.01

Asia*China, Beijing 51 0.7 0.11 0.07 0.01 51 0.8 0.12 0.08 0.01

+*China, Changle *China, Cixian *China, Hong Kong 113 0.7 0.07 0.05 0.01 96 0.6 0.07 0.05 0.01*China, Jiashan 33 3.2 0.58 0.36 0.07 17 1.6 0.41 0.21 0.05

+*China, Qidong County 70 2.4 0.29 0.23 0.03 28 0.8 0.16 0.07 0.02+*China, Shanghai 327 1.4 0.09 0.14 0.01 297 1.3 0.09 0.14 0.01

*China, Taiwan 108 0.9 0.09 0.08 0.01 81 0.8 0.09 0.08 0.01*China, Tianjin 234 2.2 0.15 0.23 0.02 210 1.7 0.12 0.19 0.02+China, Wuhan 207 2.0 0.14 0.23 0.02 179 1.7 0.14 0.18 0.02

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rates and standard errorsBone (C40-41) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 96 1.1 0.12 0.10 0.01 42 0.5 0.08 0.05 0.01*India, Bangalore 82 0.7 0.09 0.07 0.01 72 0.7 0.09 0.07 0.01 India, Chennai (Madras) 76 0.7 0.09 0.06 0.01 56 0.5 0.08 0.04 0.01*India, Delhi 313 1.5 0.10 0.12 0.01 173 1.2 0.10 0.12 0.01*India, Karunagappally 12 1.2 0.35 0.12 0.05 1 0.1 0.09 0.01 0.01 India, Mumbai (Bombay) 227 0.8 0.06 0.08 0.01 120 0.6 0.06 0.06 0.01*India, Nagpur 33 1.3 0.25 0.11 0.03 16 0.6 0.16 0.04 0.01*India, Poona 58 1.0 0.14 0.09 0.02 53 0.9 0.13 0.08 0.02*India, Trivandrum 17 0.6 0.16 0.06 0.02 14 0.5 0.13 0.03 0.01 Israel: Jews 200 1.7 0.13 0.14 0.01 152 1.2 0.10 0.10 0.01 Israel: Jews born in Israel 105 1.6 0.19 0.13 0.02 73 1.1 0.18 0.09 0.02 Israel: Jews born in Europe or America 68 2.1 0.30 0.17 0.02 57 1.3 0.25 0.11 0.02 Israel: Jews born in Africa or Asia 27 1.3 0.44 0.10 0.03 22 0.6 0.15 0.06 0.02 Israel: Non-Jews 26 1.0 0.22 0.08 0.02 16 0.8 0.21 0.10 0.04 Japan, Hiroshima 24 0.8 0.16 0.07 0.02 12 0.5 0.14 0.03 0.01*Japan, Miyagi Prefecture 53 0.8 0.12 0.07 0.01 43 0.6 0.11 0.05 0.01*Japan, Nagasaki Prefecture 27 0.6 0.14 0.05 0.01 23 0.5 0.12 0.04 0.01*Japan, Osaka Prefecture 135 0.6 0.06 0.05 0.00 104 0.4 0.05 0.03 0.00*Japan, Saga Prefecture 9 0.3 0.12 0.03 0.01 11 0.4 0.14 0.04 0.01*Japan, Yamagata Prefecture 13 0.4 0.12 0.03 0.01 10 0.2 0.07 0.02 0.01*Korea, Busan 47 1.3 0.20 0.12 0.03 31 0.8 0.14 0.08 0.02*Korea, Daegu 23 1.0 0.22 0.09 0.03 25 1.0 0.20 0.08 0.02*Korea, Kangwha County 3 1.1 0.65 0.08 0.08 0 - - - - *Korea, Seoul 237 1.1 0.08 0.10 0.01 188 0.7 0.06 0.07 0.01*Kuwait: Kuwaitis 9 0.5 0.18 0.03 0.01 7 0.5 0.24 0.02 0.01*Kuwait: Non-Kuwaitis 13 0.5 0.16 0.03 0.01 6 0.9 0.58 0.16 0.14*Oman: Omani 30 1.1 0.23 0.12 0.03 20 0.6 0.15 0.06 0.02*Pakistan, South Karachi 46 1.7 0.27 0.15 0.03 22 1.0 0.25 0.09 0.03*Philippines, Manila 196 2.4 0.20 0.25 0.03 146 1.5 0.14 0.16 0.02*Philippines, Rizal 188 2.3 0.20 0.26 0.03 142 1.4 0.14 0.16 0.02 Singapore: Chinese 32 0.5 0.09 0.05 0.01 24 0.4 0.09 0.03 0.01 Singapore: Indian 2 0.4 0.26 0.02 0.02 0 - - - - Singapore: Malay 5 0.5 0.23 0.03 0.02 5 0.4 0.20 0.03 0.02*Thailand, Bangkok 54 0.6 0.09 0.06 0.01 40 0.4 0.07 0.03 0.01*Thailand, Chiang Mai 30 0.8 0.15 0.07 0.02 15 0.4 0.10 0.04 0.01*Thailand, Khon Kaen 48 1.3 0.20 0.16 0.03 49 1.3 0.19 0.17 0.03*Thailand, Lampang 5 0.3 0.12 0.03 0.01 12 0.6 0.16 0.06 0.02*Thailand, Songkhla 11 0.4 0.13 0.03 0.01 6 0.3 0.11 0.03 0.01*Viet Nam, Hanoi 95 2.0 0.21 - - 59 1.1 0.15 - - *Viet Nam, Ho Chi Minh City 92 1.0 0.12 0.09 0.01 70 0.6 0.08 0.05 0.01

Europe Austria, Tyrol 24 1.5 0.32 0.10 0.02 14 0.9 0.25 0.07 0.02 Austria, Vorarlberg 12 1.5 0.44 0.09 0.03 2 0.2 0.15 0.02 0.02

+*Belarus 393 1.5 0.08 0.15 0.01 320 1.0 0.06 0.09 0.01*Belgium, Flanders, (excl. Limburg) 90 1.4 0.16 0.12 0.01 80 1.1 0.15 0.09 0.01*Belgium, Limburg 7 0.8 0.32 0.07 0.03 11 1.0 0.33 0.09 0.03*Croatia 259 2.0 0.13 0.21 0.01 195 1.2 0.10 0.11 0.01 Czech Republic 326 1.1 0.06 0.11 0.01 241 0.7 0.05 0.06 0.00 Denmark 141 1.0 0.09 0.08 0.01 111 0.8 0.08 0.06 0.01 Estonia 45 1.2 0.18 0.12 0.02 44 0.9 0.15 0.07 0.01 Finland 124 1.0 0.09 0.08 0.01 101 0.7 0.08 0.05 0.01 France, Bas-Rhin 28 1.1 0.21 0.10 0.02 16 0.6 0.15 0.05 0.01*France, Calvados 12 0.8 0.22 0.06 0.02 8 0.5 0.19 0.04 0.01 France, Cote d’Or France, Doubs 21 1.6 0.36 0.13 0.03 17 1.1 0.29 0.09 0.02 France, Haut-Rhin 25 1.3 0.28 0.12 0.03 13 0.6 0.19 0.04 0.01*France, Herault 20 0.9 0.22 0.08 0.02 20 0.9 0.21 0.07 0.02 France, Isere 44 1.6 0.24 0.13 0.02 20 0.8 0.18 0.05 0.01*France, Manche 12 1.2 0.37 0.09 0.03 12 1.3 0.39 0.09 0.03*France, Somme 9 0.6 0.21 0.05 0.02 8 0.5 0.19 0.05 0.02 France, Tarn 10 1.1 0.39 0.10 0.03 8 0.7 0.30 0.05 0.02 Germany, Saarland 34 1.1 0.21 0.09 0.02 26 0.9 0.20 0.06 0.01 Iceland 7 1.0 0.39 0.11 0.04 10 1.4 0.46 0.11 0.04 Ireland 85 1.1 0.12 0.09 0.01 55 0.7 0.10 0.06 0.01 Italy, Biella Province 1 0.3 0.26 0.02 0.02 2 0.4 0.32 0.03 0.03 Italy, Ferrara Province 24 3.3 0.86 0.24 0.05 6 0.2 0.10 0.01 0.01*Italy, Florence 46 1.5 0.26 0.13 0.02 38 1.2 0.26 0.08 0.02 Italy, Genoa Province 26 1.0 0.22 0.09 0.02 17 0.7 0.27 0.05 0.02 Italy, Liguria Italy, Macerata Province 6 0.7 0.31 0.04 0.02 2 0.3 0.32 0.02 0.02 Italy, Modena Province 14 0.9 0.28 0.07 0.02 8 0.7 0.27 0.05 0.02 Italy, North East 29 0.7 0.16 0.05 0.01 25 0.6 0.17 0.05 0.01

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rates and standard errorsBone (C40-41) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 13 1.2 0.36 0.10 0.03 10 0.8 0.40 0.04 0.02*Italy, Ragusa Province 7 0.9 0.34 0.09 0.03 7 0.9 0.42 0.07 0.03 Italy, Romagna 28 1.0 0.23 0.08 0.02 25 0.9 0.26 0.07 0.02 Italy, Sassari 9 0.8 0.28 0.06 0.02 6 0.6 0.31 0.04 0.02 Italy, Torino 24 1.0 0.24 0.08 0.02 23 0.9 0.23 0.07 0.02 Italy, Umbria 13 0.8 0.25 0.07 0.02 14 0.7 0.22 0.06 0.02 Italy, Varese Province 21 1.1 0.27 0.09 0.02 18 0.9 0.27 0.07 0.02 Italy, Venetian Region 42 1.0 0.18 0.08 0.01 24 0.6 0.15 0.05 0.01*Latvia 86 1.2 0.14 0.15 0.02 84 1.0 0.12 0.09 0.01 Lithuania 121 1.2 0.11 0.13 0.01 110 0.8 0.09 0.08 0.01 Malta 11 1.2 0.36 0.11 0.04 9 0.8 0.29 0.05 0.02 The Netherlands 383 1.0 0.05 0.08 0.00 352 0.9 0.05 0.07 0.00 The Netherlands, Eindhoven 25 1.0 0.22 0.07 0.02 27 1.2 0.24 0.09 0.02 The Netherlands, Maastricht 13 0.5 0.15 0.05 0.01 17 0.7 0.18 0.05 0.01 Norway 122 1.1 0.11 0.09 0.01 104 0.8 0.09 0.07 0.01*Poland, Cracow 12 0.6 0.18 0.07 0.02 29 1.3 0.25 0.11 0.02*Poland, Kielce 36 1.5 0.26 0.12 0.02 28 0.9 0.19 0.07 0.02*Poland, Lower Silesia 130 1.7 0.15 0.16 0.02 96 1.1 0.12 0.09 0.01 Poland, Warsaw City 55 1.3 0.19 0.11 0.02 23 0.3 0.08 0.03 0.01*Portugal, Vila Nova de Gaia 5 0.7 0.30 0.10 0.05 6 0.7 0.29 0.13 0.05*Russia, St Petersburg 102 1.0 0.11 0.11 0.01 112 0.8 0.09 0.07 0.01 Slovakia 229 1.6 0.11 0.17 0.01 195 1.1 0.08 0.10 0.01 Slovenia 36 0.7 0.12 0.06 0.01 31 0.6 0.11 0.05 0.01 Spain, Albacete 13 1.3 0.39 0.11 0.03 6 0.7 0.31 0.05 0.02 Spain, Asturias 24 1.1 0.24 0.08 0.02 28 1.1 0.23 0.09 0.02*Spain, Canary Islands 17 0.8 0.21 0.09 0.03 15 0.8 0.20 0.06 0.02 Spain, Cuenca 8 1.3 0.51 0.10 0.04 7 1.3 0.57 0.11 0.04 Spain, Girona 12 1.4 0.43 0.13 0.04 8 0.8 0.31 0.07 0.03 Spain, Granada 26 1.3 0.26 0.10 0.02 24 1.1 0.25 0.08 0.02 Spain, Mallorca 9 0.7 0.25 0.05 0.02 8 0.4 0.16 0.04 0.02 Spain, Murcia 29 1.3 0.26 0.11 0.02 15 0.7 0.19 0.05 0.01 Spain, Navarra 17 1.2 0.29 0.10 0.03 18 1.4 0.37 0.10 0.03 Spain, Tarragona 18 1.2 0.32 0.09 0.02 12 1.0 0.33 0.07 0.02*Spain, Zaragoza 32 1.3 0.25 0.09 0.02 21 0.8 0.20 0.07 0.02 Sweden 215 0.9 0.07 0.07 0.01 165 0.7 0.06 0.06 0.00 Switzerland, Basel 10 0.8 0.26 0.07 0.02 13 1.4 0.44 0.10 0.03 Switzerland, Geneva 8 0.8 0.31 0.08 0.03 16 1.6 0.47 0.11 0.03 Switzerland, Graubunden and Glarus 4 0.8 0.40 0.06 0.03 4 0.6 0.35 0.04 0.03 Switzerland, Neuchatel 2 0.6 0.53 0.03 0.03 3 1.1 0.64 0.07 0.04 Switzerland, St Gall-Appenzell 11 0.8 0.26 0.07 0.02 8 0.5 0.20 0.05 0.02*Switzerland, Ticino 3 0.9 0.63 0.07 0.05 2 0.3 0.23 0.03 0.03 Switzerland, Valais 6 0.8 0.33 0.09 0.04 5 0.8 0.39 0.05 0.03 Switzerland, Vaud 15 1.2 0.32 0.10 0.03 11 0.8 0.28 0.07 0.02 Switzerland, Zurich 19 0.9 0.21 0.06 0.01 15 0.6 0.17 0.05 0.01*UK, England 1090 0.8 0.03 0.07 0.00 857 0.6 0.02 0.05 0.00 UK, England, East Anglia 37 0.6 0.10 0.05 0.01 37 0.7 0.12 0.05 0.01 UK, England, Merseyside and Cheshire 51 0.8 0.12 0.06 0.01 42 0.5 0.10 0.05 0.01 UK, England, North Western 106 1.0 0.10 0.08 0.01 57 0.5 0.07 0.04 0.01 UK, England, Oxford Region 56 0.7 0.10 0.07 0.01 52 0.7 0.11 0.05 0.01*UK, England, South Thames 179 1.0 0.09 0.08 0.01 120 0.6 0.07 0.05 0.01*UK, England, South and Western Regions 186 1.0 0.08 0.09 0.01 145 0.7 0.07 0.05 0.01 UK, England, Trent 87 0.7 0.08 0.05 0.01 82 0.7 0.08 0.05 0.01*UK, England, West Midlands Region 134 1.0 0.09 0.08 0.01 118 0.9 0.09 0.06 0.01 UK, England, Yorkshire 70 0.8 0.10 0.06 0.01 29 0.3 0.06 0.02 0.00 UK, Northern Ireland 49 1.1 0.17 0.10 0.02 28 0.5 0.11 0.05 0.01 UK, Scotland 121 0.9 0.09 0.08 0.01 106 0.7 0.07 0.05 0.01*Yugoslavia, Vojvodina 99 1.6 0.17 0.15 0.02 84 1.2 0.15 0.12 0.01

Oceania Australia, Capital Territory 6 0.8 0.34 0.09 0.04 6 0.8 0.33 0.05 0.02 Australia, New South Wales 161 1.0 0.08 0.08 0.01 118 0.7 0.07 0.06 0.01 Australia, Northern Territory 5 1.1 0.48 0.07 0.03 2 0.3 0.24 0.02 0.02 Australia, Queensland 108 1.2 0.12 0.11 0.01 68 0.7 0.09 0.07 0.01 Australia, South 42 1.0 0.16 0.09 0.02 27 0.7 0.14 0.06 0.01 Australia, Tasmania 14 0.9 0.24 0.07 0.02 13 1.0 0.29 0.11 0.03 Australia, Victoria 147 1.2 0.11 0.10 0.01 137 1.1 0.10 0.09 0.01 Australia, Western 59 1.3 0.17 0.10 0.01 49 1.1 0.16 0.08 0.01 New Zealand 115 1.2 0.12 0.10 0.01 97 1.0 0.10 0.08 0.01 USA, Hawaii: White 9 1.0 0.34 0.14 0.05 6 1.0 0.44 0.07 0.03 USA, Hawaii: Chinese 1 1.2 1.16 0.06 0.06 0 - - - - USA, Hawaii: Filipino 7 1.5 0.60 0.14 0.06 1 0.3 0.26 0.02 0.02 USA, Hawaii: Hawaiian 8 1.3 0.48 0.08 0.03 3 0.5 0.28 0.03 0.02 USA, Hawaii: Japanese 5 1.0 0.51 0.07 0.03 2 0.2 0.14 0.02 0.02

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rates and standard errorsMelanoma of skin (C43)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 22 0.6 0.13 0.06 0.02 19 0.4 0.10 0.03 0.01*France, La Reunion 11 1.9 0.60 0.24 0.10 4 0.6 0.30 0.08 0.05*The Gambia 2 0.3 0.22 - - 1 0.1 0.13 - - *Mali, Bamako 0 - - - - 5 1.2 0.57 0.17 0.09*Uganda, Kyadondo County 11 1.3 0.45 0.20 0.08 13 2.0 0.60 0.27 0.09*Zimbabwe, Harare: African 28 2.0 0.47 0.15 0.04 38 4.1 0.75 0.42 0.09

America, Central and South*Argentina, Bahia Blanca 28 2.9 0.56 0.27 0.06 41 3.0 0.49 0.31 0.06*Argentina, Concordia 6 2.0 0.82 0.22 0.11 22 6.2 1.34 0.64 0.15*Brazil, Campinas 72 4.1 0.50 0.43 0.07 74 3.4 0.41 0.40 0.06*Brazil, Goiania 67 5.1 0.66 0.51 0.09 64 3.8 0.50 0.37 0.06 Colombia, Cali 73 2.5 0.31 0.27 0.04 100 2.7 0.29 0.31 0.04*Costa Rica 36 1.4 0.24 0.17 0.04 51 1.9 0.27 0.21 0.04*Cuba, Villa Clara 21 1.3 0.30 0.18 0.05 8 0.4 0.17 0.04 0.02*Ecuador, Quito 55 2.5 0.36 0.26 0.05 90 3.5 0.39 0.38 0.05*France, Martinique 14 1.3 0.37 0.15 0.05 15 0.9 0.26 0.11 0.04*USA, Puerto Rico 54 1.4 0.20 0.16 0.03 57 1.3 0.18 0.15 0.02*Uruguay, Montevideo 121 5.4 0.50 0.60 0.06 110 3.8 0.39 0.39 0.04

America, North Canada 7826 8.5 0.10 0.94 0.01 7434 7.5 0.09 0.77 0.01 Canada, Alberta 781 10.0 0.37 1.09 0.05 801 9.6 0.35 0.95 0.04 Canada, British Columbia 1361 11.2 0.31 1.25 0.04 1220 9.7 0.29 0.97 0.03 Canada, Manitoba 299 8.2 0.49 0.89 0.06 307 7.9 0.49 0.80 0.05 Canada, New Brunswick 228 9.6 0.65 1.02 0.08 207 8.2 0.60 0.85 0.07 Canada, Newfoundland 95 5.5 0.58 0.53 0.06 123 6.6 0.62 0.63 0.07 Canada, Northwest Territories 7 1.6 0.66 0.10 0.05 10 3.6 1.31 0.49 0.23 Canada, Nova Scotia 325 11.1 0.63 1.22 0.08 296 9.0 0.56 0.91 0.06 Canada, Ontario 3436 9.9 0.17 1.11 0.02 3139 8.4 0.16 0.87 0.02 Canada, Prince Edward Island 43 10.4 1.63 1.23 0.21 44 9.5 1.54 1.00 0.18+Canada, Quebec 982 4.4 0.14 0.48 0.02 1020 4.1 0.13 0.41 0.01 Canada, Saskatchewan 269 8.5 0.55 0.86 0.06 269 7.9 0.52 0.80 0.06 Canada, Yukon 9 3.9 1.37 0.30 0.11 9 4.1 1.50 0.48 0.25 USA, California, Los Angeles: Non-Hispanic White 2394 18.3 0.40 2.00 0.05 1737 13.1 0.35 1.34 0.04 USA, California, Los Angeles: Hispanic White 133 3.1 0.30 0.42 0.05 168 2.8 0.23 0.31 0.03 USA, California, Los Angeles: Black 22 0.8 0.18 0.07 0.02 35 1.0 0.19 0.11 0.02 USA, California, Los Angeles: Chinese 3 0.3 0.17 0.05 0.04 3 0.3 0.17 0.05 0.03 USA, California, Los Angeles: Filipino 4 0.7 0.35 0.11 0.06 4 0.4 0.21 0.05 0.03 USA, California, Los Angeles: Japanese 6 1.3 0.57 0.17 0.07 5 0.8 0.36 0.10 0.05 USA, California, Los Angeles: Korean 3 0.6 0.34 0.01 0.01 5 0.8 0.39 0.08 0.05 USA, California, San Francisco: Non-Hispanic White 1346 18.2 0.52 2.02 0.06 988 12.6 0.44 1.28 0.05 USA, California, San Francisco: Hispanic White 39 3.4 0.57 0.42 0.09 56 4.0 0.55 0.38 0.06 USA, California, San Francisco: Black 6 0.6 0.24 0.07 0.03 7 0.5 0.21 0.05 0.02 USA, Connecticut: White 1641 16.7 0.43 1.93 0.06 1330 12.3 0.37 1.26 0.04 USA, Connecticut: Black 14 2.4 0.65 0.19 0.06 5 0.5 0.23 0.06 0.04 USA, Georgia, Atlanta: White 956 21.8 0.72 2.46 0.10 748 15.0 0.57 1.48 0.06 USA, Georgia, Atlanta: Black 20 1.6 0.38 0.18 0.05 13 0.5 0.16 0.04 0.02 USA, Iowa 1039 11.3 0.37 1.23 0.04 926 9.3 0.33 0.91 0.03 USA, Louisiana, Central Region: White 52 7.2 1.04 0.78 0.13 46 5.9 0.92 0.64 0.11 USA, Louisiana, Central Region: Black 0 - - - - 0 - - - - USA, Louisiana, New Orleans: White 141 7.1 0.61 0.80 0.08 83 3.6 0.43 0.34 0.04 USA, Louisiana, New Orleans: Black 2 0.3 0.21 0.03 0.02 7 0.6 0.23 0.06 0.02 USA, Michigan, Detroit: White 1226 12.6 0.37 1.40 0.05 995 9.2 0.31 0.92 0.03 USA, Michigan, Detroit: Black 16 0.6 0.17 0.07 0.02 14 0.4 0.11 0.03 0.01 USA, New Jersey: White 2701 12.2 0.25 1.41 0.03 2075 8.3 0.20 0.87 0.02 USA, New Jersey: Black 30 1.2 0.22 0.15 0.03 23 0.7 0.14 0.09 0.02 USA, New Mexico: Non-Hispanic White 542 18.9 0.85 1.94 0.10 415 14.3 0.75 1.43 0.08 USA, New Mexico: Hispanic White 35 2.3 0.40 0.25 0.05 49 2.8 0.41 0.28 0.05 USA, New Mexico: American Indian 1 0.3 0.34 - - 4 0.9 0.43 0.06 0.03 USA, New York State: White 3903 8.3 0.14 0.95 0.02 2917 5.3 0.11 0.57 0.01 USA, New York State: Black 41 0.6 0.09 0.06 0.01 75 0.7 0.09 0.08 0.01 USA, Utah 734 15.2 0.58 1.69 0.07 579 10.7 0.46 1.10 0.05 USA, Washington, Seattle 1739 15.4 0.38 1.71 0.05 1546 12.8 0.34 1.30 0.04 USA, SEER: White 9558 15.4 0.16 1.71 0.02 7772 11.6 0.14 1.16 0.02 USA, SEER: Black 59 1.0 0.13 0.10 0.02 45 0.5 0.08 0.05 0.01

Asia*China, Beijing 28 0.3 0.07 0.04 0.01 14 0.2 0.04 0.02 0.01

+*China, Changle *China, Cixian *China, Hong Kong 102 0.6 0.06 0.06 0.01 91 0.5 0.05 0.05 0.01*China, Jiashan 4 0.4 0.18 0.04 0.02 4 0.3 0.16 0.04 0.02

+*China, Qidong County 3 0.1 0.07 0.02 0.01 7 0.2 0.07 0.02 0.01+*China, Shanghai 84 0.3 0.04 0.03 0.00 81 0.3 0.04 0.04 0.00

*China, Taiwan 64 0.5 0.06 0.06 0.01 61 0.5 0.07 0.06 0.01*China, Tianjin 44 0.4 0.07 0.05 0.01 39 0.3 0.05 0.04 0.01+China, Wuhan 38 0.4 0.07 0.04 0.01 32 0.3 0.05 0.03 0.01

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rates and standard errorsMelanoma of skin (C43) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 12 0.2 0.07 0.03 0.01 4 0.1 0.03 0.01 0.00*India, Bangalore 28 0.3 0.06 0.04 0.01 20 0.3 0.06 0.03 0.01 India, Chennai (Madras) 30 0.4 0.07 0.04 0.01 22 0.3 0.06 0.03 0.01*India, Delhi 52 0.4 0.06 0.04 0.01 40 0.4 0.06 0.05 0.01*India, Karunagappally 5 0.6 0.28 0.07 0.03 1 0.1 0.08 - - India, Mumbai (Bombay) 55 0.3 0.04 0.03 0.01 37 0.2 0.04 0.02 0.01*India, Nagpur 4 0.2 0.11 0.02 0.01 8 0.4 0.16 0.05 0.02*India, Poona 11 0.2 0.06 0.02 0.01 11 0.3 0.08 0.03 0.01*India, Trivandrum 16 0.7 0.17 0.08 0.03 3 0.1 0.06 0.00 0.00 Israel: Jews 1399 11.7 0.32 1.28 0.04 1508 11.3 0.30 1.17 0.03 Israel: Jews born in Israel 550 17.5 0.94 1.95 0.13 578 14.6 0.77 1.60 0.11 Israel: Jews born in Europe or America 747 13.8 0.59 1.55 0.07 824 13.8 0.58 1.46 0.06 Israel: Jews born in Africa or Asia 102 3.2 0.40 0.35 0.04 106 4.1 0.61 0.37 0.05 Israel: Non-Jews 18 1.0 0.25 0.08 0.03 15 0.9 0.25 0.09 0.03 Japan, Hiroshima 13 0.4 0.11 0.04 0.01 20 0.5 0.12 0.05 0.01*Japan, Miyagi Prefecture 25 0.3 0.06 0.03 0.01 29 0.3 0.06 0.03 0.01*Japan, Nagasaki Prefecture 26 0.4 0.08 0.04 0.01 24 0.3 0.06 0.03 0.01*Japan, Osaka Prefecture 108 0.4 0.03 0.03 0.00 86 0.3 0.03 0.03 0.00*Japan, Saga Prefecture 26 0.8 0.16 0.08 0.02 27 0.6 0.14 0.06 0.01*Japan, Yamagata Prefecture 18 0.3 0.07 0.03 0.01 30 0.5 0.10 0.05 0.01*Korea, Busan 14 0.4 0.12 0.05 0.02 12 0.3 0.08 0.02 0.01*Korea, Daegu 13 0.7 0.20 0.06 0.02 13 0.5 0.15 0.06 0.02*Korea, Kangwha County 0 - - - - 1 0.6 0.58 0.05 0.05*Korea, Seoul 95 0.5 0.05 0.05 0.01 104 0.4 0.04 0.05 0.01*Kuwait: Kuwaitis 1 0.2 0.19 0.02 0.02 1 0.2 0.22 0.04 0.04*Kuwait: Non-Kuwaitis 2 0.1 0.04 0.00 0.00 4 0.8 0.54 0.03 0.03*Oman: Omani 12 0.7 0.19 0.08 0.03 9 0.5 0.17 0.07 0.03*Pakistan, South Karachi 4 0.3 0.15 0.03 0.02 10 0.9 0.30 0.08 0.04*Philippines, Manila 45 0.8 0.14 0.11 0.02 45 0.6 0.09 0.07 0.02*Philippines, Rizal 42 0.7 0.12 0.07 0.02 27 0.3 0.07 0.03 0.01 Singapore: Chinese 29 0.5 0.10 0.05 0.01 29 0.4 0.08 0.04 0.01 Singapore: Indian 0 - - - - 0 - - - - Singapore: Malay 3 0.4 0.22 0.04 0.03 8 1.1 0.39 0.16 0.06*Thailand, Bangkok 23 0.4 0.08 0.04 0.01 23 0.3 0.05 0.02 0.01*Thailand, Chiang Mai 16 0.4 0.11 0.07 0.02 15 0.4 0.11 0.05 0.02*Thailand, Khon Kaen 16 0.5 0.12 0.05 0.02 14 0.4 0.10 0.04 0.01*Thailand, Lampang 13 0.6 0.17 0.07 0.02 10 0.5 0.17 0.05 0.02*Thailand, Songkhla 7 0.4 0.15 0.06 0.03 11 0.5 0.14 0.04 0.02*Viet Nam, Hanoi 13 0.3 0.08 - - 14 0.3 0.07 - - *Viet Nam, Ho Chi Minh City 15 0.2 0.07 0.03 0.01 9 0.1 0.04 0.01 0.01

Europe Austria, Tyrol 224 11.2 0.76 1.17 0.09 260 10.9 0.73 1.11 0.08 Austria, Vorarlberg 118 11.6 1.09 1.15 0.12 117 9.9 0.97 0.94 0.10

+*Belarus 583 2.1 0.09 0.22 0.01 1131 2.9 0.09 0.32 0.01*Belgium, Flanders, (excl. Limburg) 293 3.8 0.23 0.43 0.03 476 5.9 0.29 0.59 0.03*Belgium, Limburg 34 3.2 0.55 0.36 0.07 86 8.0 0.89 0.86 0.10*Croatia 642 4.3 0.18 0.50 0.02 639 3.7 0.16 0.39 0.02 Czech Republic 2658 8.1 0.16 0.93 0.02 3012 7.9 0.15 0.83 0.02 Denmark 1931 10.5 0.25 1.16 0.03 2498 13.4 0.29 1.33 0.03 Estonia 158 3.7 0.30 0.40 0.04 329 5.4 0.32 0.58 0.04 Finland 1363 8.0 0.22 0.86 0.03 1370 6.7 0.20 0.70 0.02 France, Bas-Rhin 280 9.4 0.57 1.00 0.07 379 11.0 0.60 1.06 0.06*France, Calvados 119 6.0 0.56 0.63 0.07 168 7.3 0.61 0.71 0.06 France, Cote d’Or France, Doubs 91 6.0 0.64 0.56 0.07 158 9.9 0.82 0.99 0.09 France, Haut-Rhin 185 8.4 0.63 0.89 0.08 224 9.3 0.67 0.90 0.07*France, Herault 171 5.7 0.46 0.64 0.05 212 7.0 0.52 0.68 0.05 France, Isere 173 5.2 0.40 0.54 0.05 227 6.4 0.44 0.66 0.05*France, Manche 103 7.9 0.82 0.80 0.09 156 10.8 0.97 1.04 0.10*France, Somme 69 3.9 0.50 0.40 0.05 83 4.3 0.51 0.44 0.05 France, Tarn 69 5.6 0.73 0.51 0.07 92 6.0 0.72 0.63 0.08 Germany, Saarland 244 6.3 0.42 0.69 0.05 257 6.1 0.42 0.60 0.04 Iceland 53 6.6 0.94 0.68 0.11 84 10.7 1.22 0.95 0.12 Ireland 562 6.5 0.28 0.69 0.03 962 10.5 0.36 1.08 0.04 Italy, Biella Province 21 4.2 0.96 0.54 0.13 44 9.6 1.60 0.93 0.15 Italy, Ferrara Province 68 4.9 0.63 0.47 0.06 67 3.7 0.52 0.39 0.06*Italy, Florence 330 7.5 0.44 0.79 0.05 421 9.0 0.49 0.85 0.05 Italy, Genoa Province 199 6.7 0.51 0.69 0.05 211 6.1 0.49 0.61 0.05 Italy, Liguria Italy, Macerata Province 92 7.3 0.82 0.82 0.10 117 9.4 0.99 0.92 0.10 Italy, Modena Province 167 6.9 0.56 0.75 0.06 175 7.2 0.59 0.71 0.06 Italy, North East 441 9.2 0.46 0.99 0.05 520 9.9 0.49 1.00 0.05

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rates and standard errorsMelanoma of skin (C43) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 75 4.7 0.62 0.46 0.06 86 5.2 0.67 0.50 0.06*Italy, Ragusa Province 37 3.5 0.61 0.40 0.07 36 3.0 0.54 0.31 0.06 Italy, Romagna 289 7.2 0.45 0.80 0.05 302 7.7 0.49 0.76 0.05 Italy, Sassari 54 3.4 0.48 0.34 0.05 45 2.6 0.42 0.25 0.04 Italy, Torino 254 7.0 0.46 0.72 0.05 300 7.6 0.49 0.78 0.05 Italy, Umbria 86 4.1 0.48 0.48 0.06 101 4.3 0.50 0.44 0.05 Italy, Varese Province 157 5.5 0.44 0.59 0.05 206 5.9 0.45 0.60 0.05 Italy, Venetian Region 469 8.8 0.42 0.94 0.05 549 9.4 0.44 0.89 0.04*Latvia 209 2.9 0.20 0.34 0.03 402 3.8 0.20 0.42 0.02 Lithuania 264 2.6 0.16 0.27 0.02 538 4.0 0.18 0.41 0.02 Malta 38 3.5 0.58 0.39 0.07 58 5.2 0.69 0.50 0.07 The Netherlands 3985 8.0 0.13 0.83 0.01 5710 10.9 0.15 1.06 0.02 The Netherlands, Eindhoven 280 8.9 0.54 0.89 0.06 379 12.3 0.65 1.12 0.06 The Netherlands, Maastricht 202 6.9 0.50 0.71 0.06 296 9.9 0.61 0.95 0.06 Norway 2128 14.3 0.32 1.60 0.04 2444 16.1 0.35 1.66 0.04*Poland, Cracow 105 4.7 0.46 0.53 0.06 164 5.8 0.47 0.63 0.05*Poland, Kielce 83 3.1 0.35 0.34 0.04 96 3.0 0.33 0.33 0.04*Poland, Lower Silesia 226 2.8 0.19 0.29 0.02 373 3.6 0.20 0.39 0.02 Poland, Warsaw City 220 4.1 0.28 0.46 0.03 287 4.1 0.27 0.46 0.03*Portugal, Vila Nova de Gaia 10 1.4 0.46 0.17 0.06 19 2.0 0.47 0.21 0.06*Russia, St Petersburg 369 3.5 0.19 0.40 0.02 662 4.0 0.17 0.42 0.02 Slovakia 718 4.8 0.18 0.55 0.02 938 5.3 0.18 0.55 0.02 Slovenia 417 6.8 0.33 0.75 0.04 487 6.8 0.32 0.69 0.03 Spain, Albacete 40 3.2 0.54 0.32 0.06 58 5.0 0.71 0.49 0.07 Spain, Asturias 94 2.9 0.32 0.32 0.04 171 4.3 0.39 0.42 0.04*Spain, Canary Islands 58 2.5 0.34 0.29 0.05 95 3.6 0.38 0.35 0.04 Spain, Cuenca 25 3.2 0.70 0.34 0.08 37 3.7 0.84 0.37 0.08 Spain, Girona 45 4.1 0.63 0.45 0.07 76 6.4 0.83 0.67 0.09 Spain, Granada 98 4.0 0.41 0.42 0.05 167 6.1 0.51 0.60 0.05 Spain, Mallorca 90 5.3 0.58 0.52 0.07 103 5.5 0.58 0.55 0.06 Spain, Murcia 108 4.1 0.41 0.44 0.05 162 5.4 0.45 0.56 0.05 Spain, Navarra 83 4.5 0.52 0.46 0.06 114 5.8 0.60 0.57 0.06 Spain, Tarragona 104 5.3 0.55 0.57 0.06 111 5.4 0.56 0.53 0.06*Spain, Zaragoza 84 2.7 0.32 0.26 0.03 111 3.3 0.36 0.33 0.04 Sweden 3942 11.8 0.20 1.32 0.02 4018 11.9 0.21 1.20 0.02 Switzerland, Basel 196 11.3 0.84 1.27 0.11 185 9.4 0.77 0.93 0.08 Switzerland, Geneva 227 15.5 1.10 1.76 0.14 191 13.1 1.01 1.33 0.11 Switzerland, Graubunden and Glarus 64 8.3 1.09 0.87 0.13 104 11.8 1.29 1.20 0.14 Switzerland, Neuchatel 60 13.7 1.88 1.40 0.21 55 12.3 1.82 1.05 0.16 Switzerland, St Gall-Appenzell 215 12.7 0.90 1.40 0.11 197 10.0 0.79 1.04 0.09*Switzerland, Ticino 56 12.1 1.70 1.21 0.20 51 10.7 1.70 1.02 0.16 Switzerland, Valais 79 9.1 1.05 0.89 0.12 97 9.9 1.08 0.96 0.11 Switzerland, Vaud 234 14.0 0.94 1.57 0.12 244 13.4 0.92 1.39 0.10 Switzerland, Zurich 478 14.3 0.68 1.56 0.08 533 15.1 0.71 1.51 0.07*UK, England 9624 5.8 0.06 0.62 0.01 13791 7.4 0.07 0.75 0.01 UK, England, East Anglia 510 6.6 0.31 0.68 0.04 750 9.6 0.38 0.98 0.04 UK, England, Merseyside and Cheshire 457 5.8 0.28 0.62 0.03 725 8.4 0.34 0.84 0.03 UK, England, North Western 705 5.3 0.20 0.54 0.02 1172 8.2 0.26 0.82 0.03 UK, England, Oxford Region 651 7.6 0.31 0.80 0.04 922 10.4 0.36 1.05 0.04*UK, England, South Thames 1393 6.0 0.17 0.64 0.02 1866 7.0 0.18 0.72 0.02*UK, England, South and Western Regions 2110 8.9 0.20 0.97 0.02 3022 11.8 0.24 1.22 0.03 UK, England, Trent 832 5.1 0.18 0.52 0.02 1167 6.6 0.21 0.66 0.02*UK, England, West Midlands Region 933 5.2 0.17 0.54 0.02 1369 7.1 0.21 0.72 0.02 UK, England, Yorkshire 603 4.8 0.20 0.51 0.02 904 6.9 0.25 0.66 0.03 UK, Northern Ireland 362 7.5 0.41 0.76 0.05 569 10.4 0.46 0.99 0.05 UK, Scotland 1184 7.1 0.21 0.72 0.02 1872 9.9 0.25 0.97 0.03*Yugoslavia, Vojvodina 272 3.9 0.25 0.41 0.03 288 3.6 0.22 0.37 0.02

Oceania Australia, Capital Territory 256 33.2 2.13 3.84 0.29 214 25.4 1.79 2.68 0.22 Australia, New South Wales 7308 36.9 0.44 4.10 0.06 5295 25.9 0.37 2.69 0.04 Australia, Northern Territory 97 22.8 2.57 2.28 0.33 79 18.6 2.28 1.72 0.24 Australia, Queensland 5156 51.1 0.73 5.39 0.09 3907 38.1 0.63 3.75 0.07 Australia, South 1530 31.5 0.83 3.32 0.10 1460 28.9 0.80 2.97 0.09 Australia, Tasmania 424 28.7 1.43 3.13 0.17 424 27.0 1.37 2.69 0.15 Australia, Victoria 3860 27.3 0.45 2.98 0.06 3697 24.6 0.42 2.52 0.05 Australia, Western 2115 41.5 0.92 4.51 0.11 1629 30.7 0.78 3.12 0.09 New Zealand 3602 32.8 0.56 3.63 0.07 3618 30.6 0.53 3.15 0.06 USA, Hawaii: White 308 31.1 1.84 3.35 0.23 186 20.4 1.58 1.95 0.17 USA, Hawaii: Chinese 2 0.4 0.33 0.07 0.07 1 0.4 0.43 0.04 0.04 USA, Hawaii: Filipino 9 1.2 0.41 0.17 0.08 2 0.3 0.22 0.01 0.01 USA, Hawaii: Hawaiian 10 2.0 0.63 0.23 0.09 9 1.7 0.59 0.16 0.07 USA, Hawaii: Japanese 9 0.7 0.25 0.06 0.03 14 1.3 0.41 0.16 0.04

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rates and standard errorsOther skin (C44)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 292 7.7 0.47 0.80 0.06 142 3.5 0.31 0.38 0.04

† *France, La Reunion 28 5.6 1.08 0.59 0.14 26 3.7 0.75 0.33 0.10*The Gambia 6 1.0 0.55 - - 12 2.4 0.95 - - *Mali, Bamako 17 2.2 0.55 0.21 0.06 15 2.9 0.78 0.36 0.12*Uganda, Kyadondo County 32 3.8 0.78 0.46 0.12 12 1.1 0.42 0.14 0.06*Zimbabwe, Harare: African 55 3.3 0.59 0.42 0.10 41 2.9 0.60 0.32 0.09

America, Central and South*Argentina, Bahia Blanca 187 17.2 1.28 1.78 0.17 162 11.2 0.95 1.28 0.13*Argentina, Concordia 141 45.5 3.84 5.13 0.53 145 35.2 3.02 3.40 0.38

† *Brazil, Campinas 144 9.2 0.81 0.89 0.11 120 5.7 0.56 0.58 0.08*Brazil, Goiania 1993 169.5 3.93 19.43 0.58 2294 154.8 3.31 17.21 0.48

† Colombia, Cali 13 0.4 0.12 0.05 0.02 9 0.2 0.08 0.02 0.01*Costa Rica 862 33.9 1.19 3.75 0.17 907 33.0 1.13 3.75 0.17*Cuba, Villa Clara 1022 59.0 1.93 6.10 0.26 884 52.3 1.85 5.60 0.24*Ecuador, Quito 501 24.7 1.15 2.65 0.16 531 20.4 0.92 2.27 0.14*France, Martinique 129 12.0 1.09 1.35 0.14 132 10.1 0.94 1.05 0.11

† *USA, Puerto Rico 17 0.5 0.12 0.06 0.02 10 0.2 0.08 0.03 0.01*Uruguay, Montevideo 1168 44.1 1.34 5.08 0.19 929 24.2 0.88 2.85 0.12

America, North† Canada 893 0.9 0.03 0.09 0.00 839 0.7 0.03 0.07 0.00

Canada, Alberta 97 1.2 0.12 0.14 0.02 85 0.9 0.11 0.09 0.01 Canada, British Columbia 112 0.9 0.09 0.09 0.01 105 0.7 0.08 0.07 0.01 Canada, Manitoba 49 1.1 0.17 0.12 0.02 60 1.3 0.19 0.14 0.02

† Canada, New Brunswick 37 1.5 0.25 0.13 0.03 21 0.6 0.16 0.05 0.02† Canada, Newfoundland 17 0.9 0.24 0.09 0.03 18 0.9 0.21 0.07 0.02† Canada, Northwest Territories 34 11.3 2.10 1.21 0.27 15 5.0 1.44 0.54 0.18† Canada, Nova Scotia 33 1.0 0.19 0.12 0.03 29 0.8 0.16 0.08 0.02† Canada, Ontario † Canada, Prince Edward Island 5 0.9 0.42 0.14 0.08 7 1.5 0.63 0.14 0.07

+Canada, Quebec 441 1.9 0.09 0.19 0.01 422 1.4 0.07 0.14 0.01† Canada, Saskatchewan 38 1.0 0.18 0.10 0.02 39 1.0 0.18 0.10 0.02

Canada, Yukon 42 23.3 3.89 2.40 0.48 27 15.3 3.17 1.56 0.38† USA, California, Los Angeles: Non-Hispanic White 257 1.7 0.11 0.18 0.01 218 1.3 0.11 0.12 0.01† USA, California, Los Angeles: Hispanic White 33 0.6 0.13 0.06 0.02 50 0.8 0.12 0.07 0.01† USA, California, Los Angeles: Black 22 0.9 0.19 0.07 0.02 31 1.0 0.19 0.09 0.02† USA, California, Los Angeles: Chinese 8 1.0 0.35 0.09 0.04 2 0.2 0.16 0.03 0.02† USA, California, Los Angeles: Filipino 2 0.4 0.30 0.08 0.06 2 0.3 0.18 0.03 0.02† USA, California, Los Angeles: Japanese 3 0.6 0.35 0.07 0.04 1 0.2 0.20 - - † USA, California, Los Angeles: Korean 4 1.2 0.71 0.04 0.02 0 - - - - † USA, California, San Francisco: Non-Hispanic White 119 1.4 0.14 0.14 0.02 88 0.9 0.12 0.10 0.01† USA, California, San Francisco: Hispanic White 6 0.4 0.18 0.02 0.01 6 0.4 0.19 0.04 0.02† USA, California, San Francisco: Black 19 1.6 0.37 0.17 0.04 11 0.7 0.23 0.06 0.02† USA, Connecticut: White 108 1.1 0.11 0.11 0.01 102 0.8 0.10 0.08 0.01† USA, Connecticut: Black 6 0.8 0.35 0.10 0.05 8 0.9 0.31 0.09 0.04† USA, Georgia, Atlanta: White 38 0.9 0.14 0.09 0.02 38 0.7 0.12 0.06 0.01† USA, Georgia, Atlanta: Black 20 1.0 0.24 0.09 0.03 22 0.9 0.19 0.07 0.02† USA, Iowa 92 0.9 0.10 0.10 0.01 66 0.6 0.08 0.06 0.01† USA, Louisiana, Central Region: White 5 0.7 0.31 0.06 0.04 5 0.5 0.26 0.06 0.03† USA, Louisiana, Central Region: Black 2 1.4 0.99 0.24 0.17 1 0.1 0.14 - - † USA, Louisiana, New Orleans: White 18 0.7 0.19 0.05 0.02 12 0.5 0.17 0.05 0.02† USA, Louisiana, New Orleans: Black 4 0.5 0.23 0.03 0.02 7 0.5 0.21 0.04 0.02† USA, Michigan, Detroit: White 106 1.1 0.11 0.11 0.01 95 0.8 0.09 0.08 0.01† USA, Michigan, Detroit: Black 19 0.8 0.18 0.07 0.02 26 0.9 0.17 0.08 0.02† USA, New Jersey: White 206 0.9 0.07 0.09 0.01 172 0.6 0.05 0.06 0.01† USA, New Jersey: Black 21 0.8 0.17 0.08 0.02 27 0.7 0.15 0.06 0.01† USA, New Mexico: Non-Hispanic White 43 1.4 0.22 0.15 0.03 46 1.5 0.25 0.14 0.02† USA, New Mexico: Hispanic White 6 0.4 0.17 0.04 0.02 8 0.5 0.18 0.04 0.02† USA, New Mexico: American Indian 0 - - - - 3 0.9 0.52 0.09 0.06† USA, New York State: White 365 0.7 0.04 0.08 0.01 334 0.5 0.03 0.05 0.00† USA, New York State: Black 47 0.6 0.09 0.06 0.01 47 0.5 0.07 0.04 0.01† USA, Utah 52 1.0 0.14 0.10 0.02 48 0.9 0.13 0.09 0.02† USA, Washington, Seattle 141 1.2 0.10 0.12 0.01 150 1.1 0.10 0.12 0.01† USA, SEER: White 707 1.1 0.04 0.11 0.01 648 0.9 0.04 0.09 0.00† USA, SEER: Black 71 1.0 0.13 0.11 0.02 70 0.8 0.10 0.07 0.01Asia*China, Beijing 72 0.8 0.10 0.09 0.01 64 0.7 0.10 0.08 0.01

+*China, Changle *China, Cixian *China, Hong Kong 840 4.4 0.16 0.48 0.02 883 4.0 0.14 0.41 0.02*China, Jiashan 9 1.0 0.38 0.11 0.05 8 0.8 0.27 0.09 0.03

+*China, Qidong County 41 1.4 0.21 0.16 0.03 32 0.7 0.13 0.05 0.02+*China, Shanghai 299 1.1 0.07 0.13 0.01 265 1.0 0.07 0.11 0.01

*China, Taiwan 634 5.1 0.21 0.61 0.03 537 4.7 0.21 0.51 0.03*China, Tianjin 111 1.0 0.09 0.11 0.01 91 0.7 0.08 0.09 0.01+China, Wuhan 93 0.9 0.11 0.11 0.01 65 0.6 0.07 0.06 0.01

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rates and standard errorsOther skin (C44) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 94 1.4 0.15 0.15 0.02 68 1.2 0.15 0.16 0.02*India, Bangalore 106 1.3 0.13 0.14 0.02 89 1.2 0.13 0.15 0.02 India, Chennai (Madras) 118 1.5 0.15 0.19 0.02 84 1.1 0.12 0.12 0.02*India, Delhi 157 1.3 0.11 0.16 0.02 127 1.2 0.11 0.12 0.01*India, Karunagappally 14 1.6 0.43 0.19 0.06 7 0.7 0.26 0.09 0.04 India, Mumbai (Bombay) 284 1.6 0.10 0.16 0.01 191 1.3 0.10 0.18 0.02*India, Nagpur 26 1.3 0.27 0.15 0.03 18 1.1 0.26 0.12 0.03*India, Poona 61 1.3 0.18 0.14 0.02 50 1.2 0.17 0.14 0.03*India, Trivandrum 37 1.6 0.28 0.18 0.04 25 1.0 0.20 0.11 0.03 Israel: Jews 372 2.8 0.15 0.28 0.02 495 3.2 0.16 0.33 0.02 Israel: Jews born in Israel 107 3.7 0.48 0.43 0.07 139 4.5 0.47 0.44 0.06 Israel: Jews born in Europe or America 217 2.8 0.24 0.29 0.03 315 3.5 0.25 0.37 0.03 Israel: Jews born in Africa or Asia 48 1.7 0.41 0.18 0.03 41 1.3 0.30 0.12 0.03 Israel: Non-Jews 10 0.6 0.19 0.03 0.01 15 0.8 0.21 0.08 0.03 Japan, Hiroshima 179 5.1 0.38 0.55 0.05 171 3.3 0.27 0.33 0.04*Japan, Miyagi Prefecture 243 2.7 0.18 0.23 0.02 225 1.6 0.12 0.15 0.02*Japan, Nagasaki Prefecture 387 5.5 0.29 0.55 0.04 435 3.6 0.20 0.33 0.03*Japan, Osaka Prefecture 379 1.2 0.06 0.13 0.01 383 0.9 0.05 0.09 0.01*Japan, Saga Prefecture 94 2.5 0.27 0.24 0.03 104 1.5 0.17 0.14 0.02*Japan, Yamagata Prefecture 77 1.4 0.17 0.13 0.02 106 1.1 0.13 0.10 0.02*Korea, Busan 82 3.2 0.41 0.40 0.06 88 2.3 0.25 0.25 0.03*Korea, Daegu 59 3.0 0.42 0.40 0.07 64 2.5 0.32 0.19 0.04*Korea, Kangwha County 4 1.3 0.67 0.17 0.11 7 2.2 0.90 0.19 0.10*Korea, Seoul 374 2.2 0.13 0.24 0.02 337 1.4 0.08 0.15 0.01*Kuwait: Kuwaitis 11 1.8 0.55 0.12 0.05 9 1.4 0.48 0.18 0.08*Kuwait: Non-Kuwaitis 34 2.8 0.95 0.35 0.14 10 3.1 1.14 0.20 0.10*Oman: Omani 114 6.0 0.57 0.78 0.09 57 2.9 0.40 0.32 0.05*Pakistan, South Karachi 78 5.0 0.60 0.61 0.09 56 4.9 0.70 0.61 0.10*Philippines, Manila 130 2.3 0.22 0.25 0.03 130 1.7 0.16 0.16 0.02*Philippines, Rizal 170 3.0 0.26 0.32 0.04 147 2.2 0.19 0.25 0.03 Singapore: Chinese 568 10.7 0.46 1.13 0.06 588 8.3 0.35 0.78 0.05 Singapore: Indian 21 3.6 0.82 0.29 0.08 14 3.8 1.12 0.31 0.11 Singapore: Malay 36 4.4 0.76 0.42 0.09 34 4.3 0.75 0.42 0.09*Thailand, Bangkok 238 3.8 0.26 0.37 0.03 263 3.2 0.21 0.32 0.03*Thailand, Chiang Mai 146 4.1 0.34 0.48 0.05 124 3.4 0.31 0.37 0.04*Thailand, Khon Kaen 123 4.0 0.37 0.52 0.06 107 3.1 0.31 0.34 0.04*Thailand, Lampang 52 2.7 0.38 0.29 0.05 78 3.5 0.41 0.38 0.06*Thailand, Songkhla 79 4.4 0.50 0.53 0.07 81 3.7 0.41 0.39 0.06*Viet Nam, Hanoi 148 3.6 0.30 - - 152 2.9 0.24 - - *Viet Nam, Ho Chi Minh City 218 3.9 0.27 0.43 0.04 243 2.9 0.19 0.32 0.03

Europe Austria, Tyrol 491 22.1 1.03 2.44 0.15 587 17.1 0.80 1.75 0.11 Austria, Vorarlberg 633 59.7 2.41 6.88 0.35 669 44.7 1.89 5.18 0.26

+*Belarus 5279 18.9 0.26 2.23 0.04 8078 16.7 0.20 2.00 0.03† *Belgium, Flanders, (excl. Limburg) 1343 14.5 0.41 1.58 0.06 1329 11.3 0.36 1.21 0.05

*Belgium, Limburg 817 70.6 2.51 7.99 0.34 694 50.5 2.07 5.01 0.25† *Croatia 94 0.7 0.07 0.06 0.01 135 0.5 0.04 0.02 0.00

Czech Republic 23983 69.2 0.45 8.05 0.06 24083 48.7 0.34 5.45 0.04 Denmark 12385 58.9 0.55 6.70 0.08 12751 51.5 0.51 5.80 0.07 Estonia 1005 22.9 0.73 2.63 0.11 1755 22.5 0.58 2.67 0.08

† Finland 10864 58.8 0.57 6.53 0.08 14498 52.2 0.49 5.69 0.07† France, Bas-Rhin 545 16.1 0.70 1.56 0.10 429 6.7 0.37 0.62 0.05† *France, Calvados 523 21.6 0.97 2.08 0.13 362 8.2 0.51 0.69 0.07

France, Cote d’Or France, Doubs 1402 82.0 2.24 9.03 0.31 1366 61.1 1.84 6.63 0.24 France, Haut-Rhin 2288 99.2 2.10 11.59 0.30 2301 71.7 1.66 7.94 0.21

† *France, Herault 725 17.1 0.68 1.74 0.09 405 6.3 0.38 0.58 0.05† France, Isere 385 10.1 0.53 0.96 0.07 291 4.7 0.32 0.43 0.04† *France, Manche 628 37.0 1.54 3.58 0.20 561 17.8 0.89 1.71 0.13† *France, Somme 270 12.1 0.78 1.26 0.11 184 4.8 0.41 0.39 0.05† France, Tarn 293 14.4 0.93 1.39 0.12 214 6.6 0.59 0.53 0.07

Germany, Saarland 2317 53.1 1.12 6.23 0.16 2201 35.0 0.85 3.88 0.11† Iceland 336 38.6 2.19 4.34 0.31 405 43.3 2.32 4.85 0.30

Ireland 13609 146.3 1.30 16.79 0.18 10972 96.0 1.00 10.94 0.14 Italy, Biella Province 345 62.2 3.53 7.44 0.48 300 42.2 2.95 4.79 0.35 Italy, Ferrara Province 1419 73.6 2.09 8.63 0.28 1087 43.4 1.60 4.69 0.19*Italy, Florence 1804 30.0 0.76 3.43 0.10 1266 16.3 0.56 1.69 0.07 Italy, Genoa Province 1520 39.7 1.09 4.57 0.14 1217 23.9 0.84 2.64 0.10 Italy, Liguria Italy, Macerata Province 919 59.8 2.17 7.04 0.29 813 41.8 1.77 4.66 0.22 Italy, Modena Province 1587 53.2 1.42 6.07 0.19 1217 32.5 1.09 3.48 0.13

† Italy, North East 3470 60.8 1.08 6.86 0.15 3287 41.8 0.87 4.62 0.11

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rates and standard errorsOther skin (C44) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 446 19.4 1.01 2.13 0.14 334 10.6 0.76 1.11 0.09*Italy, Ragusa Province 574 44.2 1.94 5.43 0.28 320 21.1 1.33 2.39 0.17 Italy, Romagna 3108 62.5 1.19 7.27 0.16 2185 36.2 0.91 3.84 0.11 Italy, Sassari 968 53.7 1.78 6.31 0.25 675 31.9 1.33 3.57 0.17 Italy, Torino 2321 53.7 1.16 6.33 0.16 2075 36.7 0.92 4.19 0.11 Italy, Umbria 1153 41.8 1.32 4.82 0.18 803 22.3 0.95 2.33 0.12 Italy, Varese Province 1150 34.4 1.04 3.85 0.15 923 18.3 0.70 1.98 0.09 Italy, Venetian Region 4332 66.5 1.05 7.79 0.15 3447 38.3 0.76 4.28 0.10*Latvia 1281 17.1 0.48 1.94 0.07 1875 13.8 0.34 1.64 0.05 Lithuania 2318 21.6 0.45 2.62 0.07 3739 22.1 0.39 2.60 0.05 Malta 640 52.0 2.10 5.74 0.30 367 25.1 1.38 2.65 0.18

† The Netherlands 8985 15.6 0.17 1.61 0.02 5739 6.8 0.10 0.69 0.01 The Netherlands, Eindhoven 2355 73.0 1.52 8.37 0.21 2213 58.2 1.30 6.41 0.17

† The Netherlands, Maastricht 500 15.1 0.69 1.55 0.09 260 5.6 0.38 0.60 0.05† Norway 2500 12.5 0.27 1.30 0.04 2070 7.5 0.20 0.76 0.03

*Poland, Cracow 336 14.9 0.82 1.73 0.11 416 11.6 0.60 1.29 0.08*Poland, Kielce 565 19.7 0.85 2.36 0.12 627 15.9 0.69 1.75 0.09*Poland, Lower Silesia 1091 13.5 0.42 1.52 0.05 1075 8.9 0.28 1.00 0.04 Poland, Warsaw City 560 9.7 0.41 0.98 0.05 676 7.3 0.30 0.85 0.04*Portugal, Vila Nova de Gaia 120 15.7 1.46 1.70 0.21 157 14.0 1.17 1.53 0.18*Russia, St Petersburg 1286 12.2 0.35 1.38 0.05 2257 10.4 0.24 1.17 0.03 Slovakia 6644 43.1 0.54 5.02 0.07 7159 33.6 0.42 3.82 0.06 Slovenia 1859 30.0 0.70 3.52 0.10 2170 22.3 0.51 2.51 0.07

† Spain, Albacete 9 0.8 0.27 0.07 0.03 6 0.3 0.15 0.02 0.02† Spain, Asturias 391 9.9 0.53 1.13 0.07 362 6.4 0.39 0.72 0.05† *Spain, Canary Islands 14 0.6 0.16 0.05 0.02 19 0.7 0.17 0.07 0.02† Spain, Cuenca 9 0.7 0.25 0.06 0.03 5 0.4 0.26 0.04 0.03

Spain, Girona 983 67.4 2.32 7.39 0.32 751 45.6 1.94 5.01 0.25 Spain, Granada 1992 68.2 1.59 8.12 0.22 1539 42.4 1.20 4.70 0.15 Spain, Mallorca 1899 100.8 2.46 11.72 0.34 1664 72.0 2.02 7.82 0.25

† Spain, Murcia 598 20.0 0.85 2.13 0.11 411 8.4 0.46 0.69 0.06 Spain, Navarra 1618 70.4 1.85 7.79 0.25 1330 52.5 1.64 5.76 0.20 Spain, Tarragona 1663 67.3 1.79 7.98 0.25 1371 48.8 1.54 5.39 0.19*Spain, Zaragoza 1462 39.8 1.17 4.44 0.16 1037 22.5 0.88 2.35 0.10

† Sweden 6841 14.2 0.19 1.32 0.03 4469 6.8 0.13 0.64 0.02 Switzerland, Basel 1623 85.7 2.22 9.78 0.31 1540 60.9 1.78 6.81 0.23 Switzerland, Geneva 1797 105.9 2.64 12.38 0.38 1830 102.7 2.58 11.56 0.35 Switzerland, Graubunden and Glarus 671 73.9 3.02 7.98 0.42 634 53.5 2.48 5.75 0.33 Switzerland, Neuchatel 490 92.1 4.35 10.59 0.61 498 71.2 3.63 8.06 0.47 Switzerland, St Gall-Appenzell 1769 88.1 2.22 9.59 0.32 1543 60.4 1.77 6.64 0.24

† *Switzerland, Ticino 276 51.7 3.28 5.73 0.46 233 32.0 2.56 3.53 0.32 Switzerland, Valais 764 79.2 2.95 9.58 0.43 708 59.6 2.44 6.79 0.33 Switzerland, Vaud 1873 99.4 2.41 11.22 0.34 1969 81.6 2.08 9.05 0.27

† Switzerland, Zurich 48 1.3 0.20 0.13 0.03 61 1.4 0.22 0.12 0.02† *UK, England 93990 46.7 0.16 5.27 0.02 84431 31.1 0.12 3.43 0.02

UK, England, East Anglia 7449 76.8 0.95 8.59 0.13 6053 51.5 0.78 5.67 0.10 UK, England, Merseyside and Cheshire 6943 72.7 0.91 8.33 0.13 6748 52.0 0.73 5.73 0.09 UK, England, North Western 9769 61.9 0.65 6.94 0.09 10409 47.1 0.54 5.18 0.07 UK, England, Oxford Region 9179 95.0 1.02 10.69 0.14 7762 65.3 0.83 7.21 0.11

† *UK, England, South Thames 2628 8.2 0.17 0.79 0.02 1648 3.2 0.10 0.31 0.01† *UK, England, South and Western Regions 15501 50.9 0.44 5.66 0.06 13227 33.5 0.35 3.65 0.05

UK, England, Trent 10449 51.9 0.53 5.87 0.07 9345 36.2 0.43 4.02 0.06*UK, England, West Midlands Region 13038 60.0 0.55 6.74 0.08 11977 42.5 0.45 4.64 0.06 UK, England, Yorkshire 8279 54.4 0.63 6.18 0.09 8245 40.3 0.52 4.45 0.07 UK, Northern Ireland 5606 102.5 1.42 11.38 0.19 5753 74.4 1.10 8.13 0.15 UK, Scotland 13368 68.3 0.61 7.69 0.08 13014 47.3 0.47 5.19 0.06*Yugoslavia, Vojvodina 1395 18.7 0.51 2.16 0.07 1393 14.8 0.41 1.69 0.05

Oceania† Australia, Capital Territory † Australia, New South Wales † Australia, Northern Territory † Australia, Queensland 171 1.5 0.12 0.15 0.02 87 0.7 0.08 0.07 0.01† Australia, South 214 4.1 0.29 0.46 0.04 122 1.9 0.19 0.21 0.03† Australia, Tasmania † Australia, Victoria 137 0.9 0.08 0.09 0.01 140 0.8 0.07 0.08 0.01† Australia, Western 528 9.5 0.42 0.95 0.06 297 4.5 0.28 0.46 0.04† New Zealand 99 0.8 0.09 0.08 0.01 83 0.5 0.06 0.05 0.01† USA, Hawaii: White 17 1.5 0.39 0.15 0.05 19 1.9 0.47 0.20 0.05† USA, Hawaii: Chinese 2 0.5 0.35 0.07 0.07 4 1.6 0.97 0.18 0.11† USA, Hawaii: Filipino 3 0.8 0.48 0.05 0.03 2 0.5 0.37 0.03 0.02† USA, Hawaii: Hawaiian 7 1.4 0.55 0.14 0.06 6 1.1 0.45 0.13 0.07† USA, Hawaii: Japanese 8 0.9 0.37 0.09 0.03 7 0.5 0.23 0.04 0.02

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rates and standard errorsMesothelioma (C45)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 17 0.4 0.11 0.05 0.01 5 0.1 0.05 0.01 0.01*France, La Reunion 2 0.5 0.32 0.04 0.04 2 0.3 0.23 0.03 0.03*The Gambia 0 - - - - 0 - - - - *Mali, Bamako 0 - - - - 0 - - - - *Uganda, Kyadondo County 0 - - - - 0 - - - - *Zimbabwe, Harare: African 3 0.2 0.10 0.02 0.01 1 0.0 0.02 0.00 0.00

America, Central and South*Argentina, Bahia Blanca 4 0.4 0.19 0.02 0.02 0 - - - - *Argentina, Concordia 0 - - - - 3 0.8 0.45 0.12 0.07*Brazil, Campinas 3 0.2 0.10 0.02 0.01 1 0.0 0.03 0.00 0.00*Brazil, Goiania 1 0.1 0.08 0.01 0.01 0 - - - - Colombia, Cali 6 0.2 0.07 0.02 0.01 1 0.0 0.03 0.00 0.00*Costa Rica 6 0.3 0.11 0.03 0.01 0 - - - - *Cuba, Villa Clara 2 0.1 0.08 0.02 0.02 0 - - - - *Ecuador, Quito 2 0.1 0.06 0.02 0.01 3 0.1 0.06 0.00 0.00*France, Martinique 2 0.2 0.15 0.03 0.02 2 0.2 0.13 0.03 0.02*USA, Puerto Rico 5 0.1 0.06 0.02 0.01 3 0.1 0.05 0.01 0.01*Uruguay, Montevideo 13 0.5 0.14 0.05 0.02 7 0.2 0.08 0.02 0.01

America, North Canada 1191 1.3 0.04 0.16 0.01 274 0.2 0.02 0.03 0.00 Canada, Alberta 93 1.3 0.14 0.16 0.02 23 0.2 0.05 0.03 0.01 Canada, British Columbia 189 1.4 0.11 0.18 0.02 23 0.2 0.04 0.02 0.00 Canada, Manitoba 50 1.2 0.19 0.16 0.03 13 0.3 0.10 0.04 0.01 Canada, New Brunswick 21 0.8 0.19 0.10 0.03 4 0.1 0.08 0.01 0.01 Canada, Newfoundland 7 0.4 0.14 0.04 0.02 1 0.0 0.02 - - Canada, Northwest Territories 1 0.3 0.33 0.04 0.04 0 - - - - Canada, Nova Scotia 30 0.9 0.17 0.10 0.02 4 0.1 0.06 0.02 0.01 Canada, Ontario 388 1.1 0.06 0.14 0.01 83 0.2 0.02 0.03 0.00 Canada, Prince Edward Island 5 1.2 0.56 0.16 0.08 1 0.1 0.06 - - +Canada, Quebec 378 1.6 0.09 0.22 0.01 115 0.4 0.04 0.05 0.01 Canada, Saskatchewan 29 0.9 0.17 0.12 0.02 7 0.1 0.06 0.01 0.01 Canada, Yukon 0 - - - - 0 - - - - USA, California, Los Angeles: Non-Hispanic White 192 1.2 0.09 0.14 0.01 56 0.3 0.05 0.03 0.01 USA, California, Los Angeles: Hispanic White 36 1.1 0.19 0.15 0.03 10 0.2 0.07 0.03 0.01 USA, California, Los Angeles: Black 19 0.8 0.18 0.08 0.02 7 0.2 0.07 0.03 0.01 USA, California, Los Angeles: Chinese 1 0.1 0.08 0.01 0.01 1 0.1 0.10 0.02 0.02 USA, California, Los Angeles: Filipino 6 1.2 0.49 0.24 0.10 1 0.1 0.07 - - USA, California, Los Angeles: Japanese 3 0.4 0.24 0.05 0.04 0 - - - - USA, California, Los Angeles: Korean 0 - - - - 1 0.2 0.16 0.04 0.04 USA, California, San Francisco: Non-Hispanic White 174 1.9 0.16 0.22 0.02 35 0.3 0.07 0.05 0.01 USA, California, San Francisco: Hispanic White 18 1.7 0.42 0.17 0.05 3 0.3 0.15 0.02 0.02 USA, California, San Francisco: Black 19 1.5 0.36 0.18 0.05 7 0.4 0.16 0.04 0.02 USA, Connecticut: White 107 1.0 0.10 0.13 0.02 23 0.1 0.04 0.02 0.01 USA, Connecticut: Black 3 0.6 0.33 0.07 0.05 2 0.3 0.18 0.05 0.04 USA, Georgia, Atlanta: White 37 0.9 0.15 0.11 0.02 13 0.2 0.07 0.03 0.01 USA, Georgia, Atlanta: Black 5 0.4 0.20 0.06 0.03 3 0.2 0.10 0.02 0.01 USA, Iowa 95 0.9 0.10 0.12 0.02 25 0.2 0.04 0.02 0.00 USA, Louisiana, Central Region: White 4 0.5 0.25 0.02 0.02 3 0.2 0.14 0.05 0.03 USA, Louisiana, Central Region: Black 0 - - - - 0 - - - - USA, Louisiana, New Orleans: White 63 2.9 0.38 0.38 0.06 20 0.7 0.17 0.08 0.02 USA, Louisiana, New Orleans: Black 14 1.7 0.48 0.16 0.05 9 0.9 0.30 0.12 0.04 USA, Michigan, Detroit: White 123 1.1 0.11 0.15 0.02 37 0.3 0.05 0.03 0.01 USA, Michigan, Detroit: Black 14 0.5 0.15 0.06 0.02 3 0.1 0.05 0.01 0.01 USA, New Jersey: White 515 2.0 0.09 0.23 0.01 122 0.4 0.04 0.05 0.01 USA, New Jersey: Black 26 1.1 0.21 0.14 0.03 6 0.2 0.07 0.02 0.01 USA, New Mexico: Non-Hispanic White 30 1.0 0.18 0.14 0.03 10 0.3 0.11 0.04 0.01 USA, New Mexico: Hispanic White 21 1.4 0.32 0.18 0.05 9 0.5 0.16 0.06 0.03 USA, New Mexico: American Indian 1 0.4 0.45 0.06 0.06 1 0.2 0.16 - - USA, New York State: White 632 1.2 0.05 0.14 0.01 186 0.3 0.02 0.03 0.00 USA, New York State: Black 41 0.6 0.09 0.07 0.01 16 0.2 0.04 0.02 0.00 USA, Utah 51 0.9 0.14 0.11 0.02 18 0.3 0.08 0.03 0.01 USA, Washington, Seattle 241 1.9 0.13 0.21 0.02 71 0.5 0.06 0.05 0.01 USA, SEER: White 911 1.3 0.05 0.16 0.01 236 0.3 0.02 0.03 0.00 USA, SEER: Black 47 0.8 0.12 0.09 0.02 20 0.2 0.05 0.02 0.01

Asia*China, Beijing 27 0.3 0.06 0.04 0.01 17 0.2 0.06 0.02 0.01

+*China, Changle *China, Cixian *China, Hong Kong 29 0.2 0.03 0.02 0.00 16 0.1 0.02 0.01 0.00*China, Jiashan 1 0.1 0.06 0.00 0.00 0 - - - -

+*China, Qidong County 2 0.1 0.05 0.01 0.01 2 0.1 0.04 0.00 0.00+*China, Shanghai 29 0.1 0.02 0.01 0.00 18 0.1 0.02 0.01 0.00

*China, Taiwan 18 0.1 0.03 0.01 0.00 10 0.1 0.03 0.01 0.00*China, Tianjin 36 0.3 0.05 0.04 0.01 22 0.2 0.04 0.02 0.00+China, Wuhan 26 0.3 0.05 0.03 0.01 12 0.1 0.03 0.01 0.00

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rates and standard errorsMesothelioma (C45) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 4 0.1 0.04 0.01 0.01 2 0.0 0.02 0.00 0.00*India, Bangalore 7 0.1 0.03 0.01 0.01 0 - - - - India, Chennai (Madras) 6 0.1 0.03 0.01 0.01 1 0.0 0.01 0.00 0.00*India, Delhi 6 0.0 0.02 0.01 0.00 1 0.0 0.00 0.00 0.00*India, Karunagappally 0 - - - - 0 - - - - India, Mumbai (Bombay) 23 0.1 0.03 0.02 0.00 9 0.1 0.02 0.01 0.00*India, Nagpur 0 - - - - 0 - - - - *India, Poona 1 0.0 0.02 0.00 0.00 1 0.0 0.03 0.01 0.01*India, Trivandrum 0 - - - - 0 - - - - Israel: Jews 76 0.6 0.07 0.07 0.01 32 0.2 0.04 0.02 0.00 Israel: Jews born in Israel 12 0.5 0.20 0.05 0.02 6 0.1 0.05 0.01 0.01 Israel: Jews born in Europe or America 46 0.7 0.13 0.09 0.02 15 0.2 0.07 0.02 0.01 Israel: Jews born in Africa or Asia 18 0.5 0.12 0.06 0.01 11 0.3 0.10 0.03 0.01 Israel: Non-Jews 3 0.2 0.10 0.02 0.01 1 0.1 0.07 - - Japan, Hiroshima 22 0.6 0.12 0.05 0.02 8 0.2 0.08 0.03 0.01*Japan, Miyagi Prefecture 19 0.2 0.05 0.03 0.01 9 0.1 0.03 0.01 0.00*Japan, Nagasaki Prefecture 45 0.7 0.10 0.07 0.01 15 0.2 0.05 0.02 0.01*Japan, Osaka Prefecture 211 0.7 0.05 0.08 0.01 73 0.2 0.02 0.02 0.00*Japan, Saga Prefecture 10 0.3 0.10 0.03 0.01 6 0.1 0.07 0.01 0.01*Japan, Yamagata Prefecture 9 0.2 0.06 0.02 0.01 3 0.0 0.02 0.00 0.00*Korea, Busan 8 0.3 0.11 0.04 0.02 5 0.1 0.05 0.02 0.01*Korea, Daegu 1 0.1 0.06 0.01 0.01 1 0.0 0.05 0.01 0.01*Korea, Kangwha County 2 0.9 0.62 0.10 0.07 0 - - - - *Korea, Seoul 34 0.2 0.03 0.02 0.00 22 0.1 0.02 0.01 0.00*Kuwait: Kuwaitis 1 0.2 0.17 - - 0 - - - - *Kuwait: Non-Kuwaitis 5 0.1 0.05 0.01 0.00 0 - - - - *Oman: Omani 1 0.0 0.04 - - 0 - - - - *Pakistan, South Karachi 2 0.1 0.08 0.01 0.01 0 - - - - *Philippines, Manila 5 0.1 0.04 0.01 0.01 8 0.1 0.04 0.01 0.00*Philippines, Rizal 4 0.1 0.04 0.01 0.01 2 0.0 0.02 0.00 0.00 Singapore: Chinese 23 0.5 0.10 0.06 0.01 8 0.1 0.04 0.01 0.00 Singapore: Indian 1 0.1 0.13 0.01 0.01 2 0.6 0.42 0.03 0.03 Singapore: Malay 2 0.2 0.14 0.01 0.01 0 - - - - *Thailand, Bangkok 4 0.0 0.02 0.00 0.00 1 0.0 0.01 0.00 0.00*Thailand, Chiang Mai 3 0.1 0.05 0.01 0.01 0 - - - - *Thailand, Khon Kaen 0 - - - - 0 - - - - *Thailand, Lampang 3 0.1 0.07 0.01 0.01 4 0.2 0.08 0.02 0.02*Thailand, Songkhla 0 - - - - 0 - - - - *Viet Nam, Hanoi 9 0.2 0.08 - - 6 0.1 0.05 - - *Viet Nam, Ho Chi Minh City 2 0.0 0.03 0.00 0.00 0 - - - -

Europe Austria, Tyrol 13 0.6 0.18 0.09 0.03 5 0.2 0.09 0.04 0.02 Austria, Vorarlberg 3 0.3 0.18 0.07 0.04 4 0.2 0.12 0.03 0.02

+*Belarus 98 0.3 0.03 0.05 0.00 101 0.3 0.03 0.03 0.00*Belgium, Flanders, (excl. Limburg) 150 1.8 0.15 0.22 0.02 39 0.4 0.08 0.05 0.01*Belgium, Limburg 13 1.1 0.31 0.13 0.04 8 0.5 0.19 0.05 0.02*Croatia 168 1.1 0.09 0.14 0.01 54 0.3 0.04 0.03 0.01 Czech Republic 150 0.5 0.04 0.06 0.01 112 0.3 0.03 0.03 0.00 Denmark 322 1.6 0.09 0.21 0.01 71 0.3 0.04 0.04 0.01 Estonia 13 0.3 0.09 0.04 0.01 14 0.2 0.06 0.03 0.01 Finland 196 1.1 0.08 0.15 0.01 62 0.2 0.03 0.03 0.00 France, Bas-Rhin 38 1.2 0.20 0.16 0.03 9 0.2 0.08 0.04 0.01*France, Calvados 31 1.4 0.26 0.20 0.04 13 0.5 0.15 0.06 0.02 France, Cote d’Or France, Doubs 25 1.4 0.30 0.17 0.04 6 0.3 0.12 0.02 0.01 France, Haut-Rhin 18 0.8 0.19 0.09 0.03 4 0.1 0.07 0.02 0.01*France, Herault 15 0.4 0.11 0.06 0.02 7 0.2 0.07 0.02 0.01 France, Isere 56 1.6 0.22 0.20 0.03 17 0.3 0.09 0.04 0.01*France, Manche 19 1.4 0.33 0.15 0.04 5 0.3 0.15 0.04 0.02*France, Somme 26 1.4 0.29 0.18 0.04 11 0.5 0.17 0.06 0.02 France, Tarn 13 0.9 0.27 0.10 0.03 3 0.1 0.08 0.02 0.01 Germany, Saarland 26 0.6 0.12 0.08 0.02 5 0.1 0.04 0.01 0.01 Iceland 7 0.9 0.35 0.13 0.05 2 0.2 0.13 0.02 0.02 Ireland 58 0.7 0.09 0.09 0.01 7 0.1 0.04 0.01 0.00 Italy, Biella Province 10 1.9 0.62 0.19 0.07 3 0.4 0.28 0.05 0.03 Italy, Ferrara Province 28 1.5 0.31 0.18 0.04 13 0.5 0.17 0.08 0.02*Italy, Florence 36 0.6 0.11 0.08 0.02 19 0.2 0.06 0.03 0.01 Italy, Genoa Province 206 5.4 0.40 0.67 0.05 60 1.2 0.20 0.14 0.02 Italy, Liguria 167 4.5 0.38 0.57 0.05 39 0.8 0.15 0.09 0.02 Italy, Macerata Province 13 0.9 0.27 0.11 0.04 4 0.2 0.14 0.03 0.02 Italy, Modena Province 18 0.8 0.19 0.09 0.02 4 0.2 0.08 0.02 0.01 Italy, North East 133 2.4 0.22 0.29 0.03 34 0.5 0.09 0.05 0.01

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rates and standard errorsMesothelioma (C45) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 24 1.1 0.24 0.14 0.04 16 0.6 0.17 0.07 0.02*Italy, Ragusa Province 10 1.0 0.33 0.09 0.03 3 0.3 0.20 0.04 0.02 Italy, Romagna 39 0.9 0.15 0.13 0.02 26 0.5 0.10 0.07 0.01 Italy, Sassari 7 0.4 0.17 0.07 0.03 0 - - - - Italy, Torino 88 2.0 0.22 0.24 0.03 38 0.6 0.11 0.07 0.01 Italy, Umbria 14 0.5 0.16 0.07 0.02 6 0.3 0.13 0.02 0.01 Italy, Varese Province 37 1.1 0.19 0.13 0.03 33 0.9 0.16 0.12 0.02 Italy, Venetian Region 86 1.4 0.15 0.18 0.02 31 0.4 0.08 0.06 0.01*Latvia 27 0.4 0.08 0.04 0.01 21 0.2 0.05 0.02 0.01 Lithuania 22 0.2 0.05 0.03 0.01 18 0.1 0.03 0.01 0.00 Malta 12 1.0 0.29 0.12 0.04 1 0.1 0.08 0.01 0.01 The Netherlands 1451 2.8 0.07 0.35 0.01 222 0.3 0.02 0.04 0.00 The Netherlands, Eindhoven 57 1.8 0.24 0.22 0.03 11 0.3 0.09 0.05 0.02 The Netherlands, Maastricht 106 3.4 0.33 0.46 0.05 14 0.4 0.10 0.05 0.02 Norway 220 1.3 0.10 0.18 0.01 45 0.2 0.04 0.03 0.01*Poland, Cracow 12 0.5 0.15 0.05 0.02 5 0.2 0.08 0.02 0.01*Poland, Kielce 3 0.1 0.06 0.02 0.01 10 0.3 0.11 0.04 0.01*Poland, Lower Silesia 33 0.4 0.07 0.06 0.01 19 0.2 0.04 0.02 0.01 Poland, Warsaw City 21 0.4 0.09 0.05 0.01 13 0.2 0.06 0.02 0.01*Portugal, Vila Nova de Gaia 0 - - - - 0 - - - - *Russia, St Petersburg 21 0.2 0.04 0.02 0.01 23 0.1 0.03 0.02 0.00 Slovakia 64 0.4 0.06 0.05 0.01 45 0.2 0.03 0.03 0.00 Slovenia 47 0.8 0.11 0.09 0.02 17 0.2 0.05 0.03 0.01 Spain, Albacete 4 0.2 0.09 - - 2 0.1 0.05 0.01 0.01 Spain, Asturias 13 0.3 0.10 0.04 0.01 17 0.4 0.11 0.04 0.01*Spain, Canary Islands 9 0.4 0.14 0.05 0.02 2 0.1 0.05 0.01 0.01 Spain, Cuenca 2 0.2 0.12 0.03 0.02 2 0.1 0.12 0.01 0.01 Spain, Girona 13 1.0 0.30 0.11 0.04 5 0.3 0.16 0.04 0.02 Spain, Granada 12 0.4 0.12 0.06 0.02 5 0.2 0.08 0.02 0.01 Spain, Mallorca 6 0.4 0.15 0.06 0.02 1 0.1 0.08 0.01 0.01 Spain, Murcia 19 0.7 0.17 0.10 0.02 8 0.2 0.08 0.04 0.01 Spain, Navarra 20 0.9 0.20 0.13 0.03 13 0.6 0.20 0.07 0.02 Spain, Tarragona 10 0.4 0.15 0.05 0.02 3 0.2 0.11 0.02 0.01*Spain, Zaragoza 27 0.8 0.17 0.11 0.02 8 0.1 0.06 0.01 0.01 Sweden 497 1.3 0.06 0.16 0.01 127 0.3 0.03 0.04 0.00 Switzerland, Basel 34 1.8 0.32 0.21 0.05 5 0.2 0.12 0.02 0.01 Switzerland, Geneva 16 1.1 0.28 0.14 0.04 7 0.4 0.16 0.04 0.02 Switzerland, Graubunden and Glarus 24 2.8 0.60 0.38 0.09 9 0.6 0.25 0.05 0.03 Switzerland, Neuchatel 4 0.7 0.38 0.05 0.04 1 0.2 0.22 0.03 0.03 Switzerland, St Gall-Appenzell 38 2.2 0.36 0.27 0.05 8 0.2 0.09 0.02 0.01*Switzerland, Ticino 7 1.5 0.57 0.13 0.06 5 0.6 0.29 0.06 0.04 Switzerland, Valais 12 1.2 0.37 0.14 0.05 4 0.4 0.21 0.04 0.03 Switzerland, Vaud 18 1.0 0.25 0.15 0.04 5 0.2 0.10 0.02 0.01 Switzerland, Zurich 64 1.8 0.23 0.22 0.03 17 0.4 0.10 0.05 0.01*UK, England 5041 2.7 0.04 0.35 0.01 846 0.4 0.01 0.05 0.00 UK, England, East Anglia 242 2.6 0.18 0.33 0.03 32 0.3 0.06 0.03 0.01 UK, England, Merseyside and Cheshire 296 3.2 0.19 0.41 0.03 45 0.4 0.06 0.05 0.01 UK, England, North Western 348 2.3 0.13 0.29 0.02 75 0.4 0.05 0.05 0.01 UK, England, Oxford Region 263 2.8 0.18 0.38 0.03 47 0.5 0.07 0.06 0.01*UK, England, South Thames 658 2.6 0.11 0.34 0.02 118 0.4 0.04 0.04 0.01*UK, England, South and Western Regions 865 3.2 0.11 0.41 0.02 107 0.3 0.04 0.04 0.00 UK, England, Trent 413 2.2 0.11 0.28 0.02 59 0.3 0.04 0.04 0.01*UK, England, West Midlands Region 365 1.8 0.10 0.23 0.01 67 0.3 0.03 0.03 0.01 UK, England, Yorkshire 404 2.8 0.15 0.38 0.02 95 0.5 0.06 0.07 0.01 UK, Northern Ireland 112 2.1 0.21 0.28 0.03 12 0.2 0.06 0.03 0.01 UK, Scotland 652 3.4 0.14 0.43 0.02 120 0.5 0.05 0.06 0.01*Yugoslavia, Vojvodina 14 0.2 0.05 0.02 0.01 10 0.1 0.04 0.01 0.00

Oceania Australia, Capital Territory 11 1.7 0.53 0.19 0.07 3 0.4 0.21 0.05 0.04 Australia, New South Wales 645 3.0 0.12 0.39 0.02 95 0.4 0.04 0.05 0.01 Australia, Northern Territory 10 3.8 1.29 0.54 0.22 0 - - - - Australia, Queensland 287 2.7 0.16 0.34 0.02 35 0.3 0.06 0.04 0.01 Australia, South 139 2.6 0.23 0.35 0.03 25 0.5 0.10 0.06 0.01 Australia, Tasmania 28 1.7 0.34 0.19 0.05 4 0.2 0.09 0.02 0.01 Australia, Victoria 378 2.5 0.13 0.33 0.02 83 0.5 0.06 0.06 0.01 Australia, Western 274 5.2 0.32 0.63 0.05 36 0.6 0.11 0.07 0.01 New Zealand 217 1.9 0.13 0.25 0.02 29 0.2 0.04 0.03 0.01 USA, Hawaii: White 25 2.3 0.49 0.27 0.07 3 0.3 0.16 0.03 0.02 USA, Hawaii: Chinese 5 1.2 0.56 0.22 0.13 0 - - - - USA, Hawaii: Filipino 3 0.3 0.19 0.04 0.04 0 - - - - USA, Hawaii: Hawaiian 7 1.4 0.55 0.25 0.11 0 - - - - USA, Hawaii: Japanese 3 0.2 0.15 0.01 0.01 1 0.0 0.03 - -

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsKaposi sarcoma (C46)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 16 0.4 0.11 0.05 0.02 3 0.1 0.05 0.01 0.01*France, La Reunion 5 0.6 0.28 0.05 0.02 0 - - - - *The Gambia 4 0.6 0.42 - - 4 0.4 0.25 - - *Mali, Bamako 16 2.1 0.63 0.29 0.11 8 1.0 0.39 0.08 0.03*Uganda, Kyadondo County 843 37.9 1.73 3.39 0.21 533 20.4 1.13 1.56 0.11*Zimbabwe, Harare: African 1555 50.8 1.55 4.89 0.21 554 20.3 1.10 1.69 0.11

America, Central and South*Argentina, Bahia Blanca 1 0.1 0.08 - - 2 0.2 0.12 0.02 0.01*Argentina, Concordia 2 0.6 0.39 0.05 0.03 2 0.6 0.42 0.04 0.03*Brazil, Campinas 23 1.0 0.22 0.10 0.03 2 0.1 0.05 0.00 0.00*Brazil, Goiania 20 1.1 0.26 0.12 0.04 4 0.2 0.12 0.02 0.01 Colombia, Cali 75 1.8 0.22 0.15 0.02 6 0.2 0.07 0.02 0.01*Costa Rica 16 0.5 0.13 0.04 0.01 3 0.1 0.05 0.00 0.00*Cuba, Villa Clara 2 0.1 0.06 - - 0 - - - - *Ecuador, Quito 6 0.3 0.12 0.04 0.02 2 0.1 0.04 - - *France, Martinique 21 2.0 0.45 0.21 0.05 0 - - - - *USA, Puerto Rico 116 3.1 0.29 0.25 0.03 14 0.3 0.09 0.03 0.01*Uruguay, Montevideo 13 0.6 0.17 0.06 0.02 10 0.3 0.12 0.02 0.01

America, North Canada 1093 1.1 0.04 0.10 0.00 60 0.1 0.01 0.00 0.00 Canada, Alberta 79 0.9 0.10 0.07 0.01 2 0.0 0.01 0.00 0.00 Canada, British Columbia 249 2.0 0.13 0.17 0.01 11 0.1 0.02 0.01 0.00 Canada, Manitoba 28 0.8 0.15 0.07 0.01 3 0.1 0.03 0.01 0.00 Canada, New Brunswick 13 0.5 0.14 0.04 0.02 4 0.1 0.06 0.00 0.00 Canada, Newfoundland 4 0.2 0.10 0.02 0.01 3 0.2 0.09 0.01 0.01 Canada, Northwest Territories 4 1.1 0.65 0.05 0.03 1 0.3 0.33 0.03 0.03 Canada, Nova Scotia 23 0.8 0.17 0.07 0.02 4 0.1 0.06 0.01 0.01 Canada, Ontario 190 0.5 0.04 0.05 0.00 8 0.0 0.01 0.00 0.00 Canada, Prince Edward Island 3 0.7 0.42 0.08 0.05 0 - - - - +Canada, Quebec 493 2.1 0.09 0.17 0.01 22 0.1 0.02 0.01 0.00 Canada, Saskatchewan 10 0.3 0.09 0.02 0.01 2 0.0 0.01 - - Canada, Yukon 0 - - - - 0 - - - - USA, California, Los Angeles: Non-Hispanic White 1125 8.4 0.26 0.72 0.02 37 0.2 0.04 0.02 0.00 USA, California, Los Angeles: Hispanic White 580 6.6 0.32 0.60 0.04 12 0.2 0.05 0.01 0.00 USA, California, Los Angeles: Black 244 8.0 0.53 0.68 0.05 13 0.4 0.10 0.03 0.01 USA, California, Los Angeles: Chinese 4 0.3 0.17 0.03 0.01 0 - - - - USA, California, Los Angeles: Filipino 14 1.7 0.46 0.14 0.04 0 - - - - USA, California, Los Angeles: Japanese 7 1.8 0.69 0.15 0.06 0 - - - - USA, California, Los Angeles: Korean 3 0.6 0.36 0.09 0.07 0 - - - - USA, California, San Francisco: Non-Hispanic White 1247 16.7 0.48 1.42 0.04 16 0.1 0.04 0.01 0.00 USA, California, San Francisco: Hispanic White 222 13.0 0.93 1.15 0.09 2 0.1 0.05 - - USA, California, San Francisco: Black 207 14.5 1.04 1.24 0.09 8 0.5 0.17 0.04 0.02 USA, Connecticut: White 160 1.7 0.14 0.15 0.01 25 0.1 0.03 0.01 0.00 USA, Connecticut: Black 37 4.3 0.72 0.35 0.06 5 0.5 0.24 0.05 0.02 USA, Georgia, Atlanta: White 346 6.2 0.34 0.50 0.03 5 0.1 0.04 0.01 0.00 USA, Georgia, Atlanta: Black 171 6.4 0.51 0.54 0.05 7 0.2 0.08 0.01 0.01 USA, Iowa 38 0.4 0.07 0.04 0.01 4 0.0 0.00 - - USA, Louisiana, Central Region: White 4 0.5 0.27 0.04 0.03 0 - - - - USA, Louisiana, Central Region: Black 0 - - - - 1 0.4 0.37 0.09 0.09 USA, Louisiana, New Orleans: White 140 7.8 0.67 0.63 0.06 3 0.1 0.07 0.01 0.01 USA, Louisiana, New Orleans: Black 60 6.3 0.83 0.50 0.07 7 0.5 0.18 0.02 0.01 USA, Michigan, Detroit: White 140 1.4 0.12 0.12 0.01 12 0.1 0.02 0.00 0.00 USA, Michigan, Detroit: Black 107 4.3 0.42 0.33 0.03 10 0.3 0.08 0.02 0.01 USA, New Jersey: White 368 1.7 0.09 0.15 0.01 42 0.1 0.02 0.01 0.00 USA, New Jersey: Black 196 6.1 0.44 0.51 0.04 14 0.3 0.09 0.02 0.01 USA, New Mexico: Non-Hispanic White 52 2.0 0.29 0.17 0.02 2 0.0 0.04 0.00 0.00 USA, New Mexico: Hispanic White 54 3.1 0.43 0.25 0.04 0 - - - - USA, New Mexico: American Indian 4 1.0 0.55 0.09 0.05 0 - - - - USA, New York State: White 1632 3.8 0.09 0.31 0.01 157 0.3 0.02 0.02 0.00 USA, New York State: Black 765 8.8 0.32 0.74 0.03 103 1.0 0.10 0.08 0.01 USA, Utah 47 0.9 0.13 0.07 0.01 2 0.0 0.01 - - USA, Washington, Seattle 461 3.7 0.17 0.31 0.01 5 0.0 0.02 0.00 0.00 USA, SEER: White 2788 4.4 0.08 0.37 0.01 70 0.1 0.01 0.00 0.00 USA, SEER: Black 560 6.8 0.30 0.56 0.03 32 0.3 0.06 0.03 0.01

Asia*China, Beijing 0 - - - - 0 - - - -

+*China, Changle *China, Cixian *China, Hong Kong 13 0.1 0.02 0.01 0.00 4 0.0 0.01 0.00 0.00*China, Jiashan 0 - - - - 0 - - - -

+*China, Qidong County 0 - - - - 0 - - - - +*China, Shanghai 0 - - - - 5 0.0 0.01 0.00 0.00

*China, Taiwan 24 0.2 0.04 0.02 0.01 2 0.0 0.01 0.00 0.00*China, Tianjin 0 - - - - 0 - - - - +China, Wuhan 0 - - - - 0 - - - -

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsKaposi sarcoma (C46) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 0 - - - - 0 - - - - *India, Bangalore 1 0.0 0.01 0.00 0.00 2 0.0 0.01 0.00 0.00 India, Chennai (Madras) 0 - - - - 1 0.0 0.01 0.00 0.00*India, Delhi 0 - - - - 0 - - - - *India, Karunagappally 0 - - - - 0 - - - - India, Mumbai (Bombay) 1 0.0 0.00 0.00 0.00 3 0.0 0.01 0.00 0.00*India, Nagpur 0 - - - - 0 - - - - *India, Poona 0 - - - - 0 - - - - *India, Trivandrum 0 - - - - 0 - - - - Israel: Jews 394 2.8 0.15 0.31 0.02 177 1.0 0.08 0.11 0.01 Israel: Jews born in Israel 45 1.9 0.37 0.23 0.06 8 0.2 0.12 0.01 0.01 Israel: Jews born in Europe or America 185 2.1 0.19 0.22 0.02 96 0.8 0.12 0.09 0.01 Israel: Jews born in Africa or Asia 164 4.1 0.33 0.49 0.05 73 1.6 0.19 0.18 0.03 Israel: Non-Jews 7 0.4 0.16 0.01 0.01 5 0.3 0.14 0.03 0.02 Japan, Hiroshima 1 0.0 0.03 0.00 0.00 0 - - - - *Japan, Miyagi Prefecture 1 0.0 0.01 0.00 0.00 0 - - - - *Japan, Nagasaki Prefecture 2 0.0 0.03 0.01 0.00 0 - - - - *Japan, Osaka Prefecture 0 - - - - 0 - - - - *Japan, Saga Prefecture 0 - - - - 0 - - - - *Japan, Yamagata Prefecture 0 - - - - 0 - - - - *Korea, Busan 5 0.2 0.09 0.03 0.02 0 - - - - *Korea, Daegu 1 0.1 0.07 - - 0 - - - - *Korea, Kangwha County 0 - - - - 0 - - - - *Korea, Seoul 14 0.1 0.02 0.01 0.00 1 0.0 0.01 0.00 0.00*Kuwait: Kuwaitis 2 0.3 0.24 0.06 0.06 1 0.2 0.18 0.02 0.02*Kuwait: Non-Kuwaitis 2 0.5 0.47 0.12 0.12 0 - - - - *Oman: Omani 19 0.9 0.22 0.11 0.03 0 - - - - *Pakistan, South Karachi 0 - - - - 0 - - - - *Philippines, Manila 0 - - - - 0 - - - - *Philippines, Rizal 1 0.0 0.01 0.00 0.00 1 0.0 0.01 0.00 0.00 Singapore: Chinese 4 0.1 0.03 0.01 0.00 2 0.0 0.02 0.00 0.00 Singapore: Indian 2 0.3 0.18 0.02 0.02 0 - - - - Singapore: Malay 0 - - - - 0 - - - - *Thailand, Bangkok 4 0.0 0.02 0.00 0.00 3 0.0 0.03 0.00 0.00*Thailand, Chiang Mai 3 0.1 0.04 0.00 0.00 1 0.0 0.02 0.00 0.00*Thailand, Khon Kaen 0 - - - - 0 - - - - *Thailand, Lampang 0 - - - - 0 - - - - *Thailand, Songkhla 0 - - - - 0 - - - - *Viet Nam, Hanoi 0 - - - - 0 - - - - *Viet Nam, Ho Chi Minh City 1 0.0 0.02 0.00 0.00 1 0.0 0.01 0.00 0.00

Europe Austria, Tyrol 1 0.1 0.06 0.01 0.01 0 - - - - Austria, Vorarlberg 0 - - - - 0 - - - -

+*Belarus 0 - - - - 1 0.0 0.00 0.00 0.00*Belgium, Flanders, (excl. Limburg) 21 0.3 0.07 0.03 0.01 12 0.1 0.05 0.01 0.00*Belgium, Limburg 4 0.3 0.15 0.01 0.01 2 0.2 0.12 0.02 0.02*Croatia 1 0.0 0.01 0.00 0.00 0 - - - - Czech Republic 42 0.1 0.02 0.01 0.00 20 0.0 0.01 0.00 0.00 Denmark 130 0.8 0.07 0.07 0.01 5 0.0 0.02 0.00 0.00 Estonia 0 - - - - 0 - - - - Finland 63 0.3 0.04 0.03 0.01 41 0.1 0.02 0.01 0.00 France, Bas-Rhin 39 1.2 0.20 0.09 0.02 4 0.1 0.05 0.01 0.01*France, Calvados 21 1.1 0.24 0.10 0.02 3 0.1 0.06 0.00 0.00 France, Cote d’Or France, Doubs 13 0.9 0.26 0.08 0.02 4 0.2 0.12 0.03 0.01 France, Haut-Rhin 22 1.0 0.23 0.08 0.02 2 0.1 0.06 0.01 0.01*France, Herault 59 2.3 0.31 0.19 0.03 8 0.2 0.08 0.02 0.01 France, Isere 36 1.1 0.18 0.09 0.02 3 0.1 0.04 0.01 0.01*France, Manche 3 0.3 0.15 0.02 0.01 1 0.1 0.09 0.01 0.01*France, Somme 7 0.4 0.17 0.04 0.01 2 0.1 0.04 0.01 0.01 France, Tarn 7 0.6 0.26 0.05 0.02 0 - - - - Germany, Saarland 4 0.1 0.07 0.01 0.00 1 0.0 0.03 0.00 0.00 Iceland 19 1.8 0.42 0.12 0.05 8 0.8 0.33 0.07 0.04 Ireland 19 0.2 0.06 0.02 0.01 2 0.0 0.02 0.00 0.00 Italy, Biella Province 4 1.0 0.56 0.08 0.04 5 0.8 0.42 0.08 0.04 Italy, Ferrara Province 25 1.5 0.35 0.16 0.04 15 0.7 0.23 0.08 0.02*Italy, Florence 100 2.8 0.28 0.24 0.02 14 0.2 0.07 0.02 0.01 Italy, Genoa Province 68 2.4 0.32 0.23 0.03 12 0.3 0.12 0.03 0.01 Italy, Liguria Italy, Macerata Province 9 0.7 0.26 0.07 0.03 1 0.2 0.15 0.01 0.01 Italy, Modena Province 30 1.3 0.24 0.10 0.02 15 0.4 0.14 0.05 0.02 Italy, North East 34 0.7 0.13 0.07 0.01 16 0.2 0.07 0.02 0.01

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsKaposi sarcoma (C46) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 17 1.1 0.30 0.09 0.03 2 0.0 0.02 - - *Italy, Ragusa Province 12 0.7 0.20 0.03 0.02 4 0.2 0.08 - - Italy, Romagna 61 1.8 0.24 0.17 0.02 17 0.3 0.09 0.02 0.01 Italy, Sassari 56 3.0 0.41 0.30 0.05 21 0.8 0.19 0.07 0.02 Italy, Torino 90 2.6 0.29 0.25 0.03 21 0.4 0.11 0.04 0.01 Italy, Umbria 15 1.0 0.26 0.08 0.02 3 0.1 0.03 0.01 0.01 Italy, Varese Province 41 1.4 0.23 0.15 0.03 20 0.5 0.13 0.03 0.01 Italy, Venetian Region 75 1.5 0.17 0.14 0.02 18 0.2 0.06 0.02 0.01*Latvia 5 0.1 0.03 0.01 0.00 4 0.0 0.02 0.01 0.00 Lithuania 4 0.0 0.02 0.00 0.00 1 0.0 0.00 - - Malta 8 0.6 0.23 0.06 0.03 5 0.3 0.13 0.01 0.01 The Netherlands 425 0.8 0.04 0.07 0.00 25 0.0 0.01 0.00 0.00 The Netherlands, Eindhoven 6 0.2 0.07 0.02 0.01 0 - - - - The Netherlands, Maastricht 9 0.3 0.10 0.03 0.01 1 0.0 0.03 0.00 0.00 Norway 61 0.4 0.05 0.03 0.01 26 0.1 0.02 0.01 0.00*Poland, Cracow 1 0.0 0.04 0.01 0.01 1 0.0 0.04 0.00 0.00*Poland, Kielce 1 0.0 0.03 0.01 0.01 0 - - - - *Poland, Lower Silesia 1 0.0 0.01 0.00 0.00 3 0.0 0.02 0.00 0.00 Poland, Warsaw City 2 0.0 0.02 0.00 0.00 0 - - - - *Portugal, Vila Nova de Gaia 2 0.2 0.17 0.01 0.01 0 - - - - *Russia, St Petersburg 2 0.0 0.01 0.00 0.00 4 0.0 0.02 0.00 0.00 Slovakia 27 0.2 0.03 0.02 0.01 8 0.0 0.01 0.00 0.00 Slovenia 4 0.1 0.04 0.01 0.00 0 - - - - Spain, Albacete 10 0.9 0.30 0.08 0.03 2 0.1 0.05 0.01 0.01 Spain, Asturias 13 0.5 0.13 0.04 0.01 6 0.1 0.06 0.01 0.01*Spain, Canary Islands 52 2.2 0.31 0.20 0.03 6 0.2 0.10 0.03 0.01 Spain, Cuenca 2 0.4 0.29 0.03 0.02 2 0.1 0.12 0.01 0.01 Spain, Girona 11 1.1 0.35 0.10 0.03 2 0.2 0.12 0.02 0.01 Spain, Granada 24 0.9 0.20 0.07 0.02 4 0.1 0.07 0.01 0.01 Spain, Mallorca 56 3.9 0.52 0.37 0.05 6 0.3 0.13 0.02 0.01 Spain, Murcia 31 1.4 0.25 0.14 0.03 4 0.1 0.03 0.01 0.01 Spain, Navarra 15 0.8 0.22 0.08 0.02 5 0.2 0.09 0.01 0.01 Spain, Tarragona 42 2.3 0.36 0.21 0.04 7 0.3 0.14 0.03 0.01*Spain, Zaragoza 17 0.7 0.18 0.06 0.01 2 0.1 0.05 0.01 0.01 Sweden 164 0.5 0.04 0.04 0.00 36 0.0 0.01 0.00 0.00 Switzerland, Basel 19 1.4 0.32 0.12 0.03 2 0.1 0.10 0.01 0.01 Switzerland, Geneva 53 3.9 0.55 0.35 0.05 3 0.2 0.11 0.04 0.02 Switzerland, Graubunden and Glarus 3 0.4 0.24 0.02 0.02 0 - - - - Switzerland, Neuchatel 7 1.4 0.56 0.14 0.06 1 0.2 0.24 0.02 0.02 Switzerland, St Gall-Appenzell 8 0.5 0.18 0.04 0.02 0 - - - - *Switzerland, Ticino 10 2.3 0.76 0.27 0.10 0 - - - - Switzerland, Valais 8 1.0 0.37 0.08 0.03 0 - - - - Switzerland, Vaud 34 2.4 0.41 0.20 0.03 3 0.2 0.11 0.02 0.01 Switzerland, Zurich 121 4.0 0.37 0.35 0.03 4 0.2 0.09 0.01 0.01*UK, England 672 0.5 0.02 0.04 0.00 68 0.0 0.00 0.00 0.00 UK, England, East Anglia 14 0.2 0.06 0.02 0.01 0 - - - - UK, England, Merseyside and Cheshire 20 0.3 0.06 0.03 0.01 2 0.0 0.01 - - UK, England, North Western 55 0.5 0.06 0.04 0.01 2 0.0 0.00 0.00 0.00 UK, England, Oxford Region 22 0.3 0.05 0.02 0.01 1 0.0 0.01 0.00 0.00*UK, England, South Thames 213 1.0 0.07 0.09 0.01 25 0.1 0.03 0.01 0.00*UK, England, South and Western Regions 40 0.2 0.03 0.02 0.00 4 0.0 0.01 0.00 0.00 UK, England, Trent 19 0.1 0.03 0.01 0.00 1 0.0 0.00 - - *UK, England, West Midlands Region 37 0.2 0.04 0.02 0.00 0 - - - - UK, England, Yorkshire 13 0.1 0.03 0.01 0.00 2 0.0 0.01 0.00 0.00 UK, Northern Ireland 1 0.0 0.02 0.00 0.00 0 - - - - UK, Scotland 30 0.2 0.03 0.02 0.00 3 0.0 0.01 0.00 0.00*Yugoslavia, Vojvodina 3 0.1 0.04 0.00 0.00 1 0.0 0.01 - -

Oceania Australia, Capital Territory 7 0.7 0.27 0.05 0.02 0 - - - - Australia, New South Wales 469 2.5 0.12 0.22 0.01 17 0.1 0.02 0.01 0.00 Australia, Northern Territory 2 0.3 0.20 0.02 0.02 0 - - - - Australia, Queensland 53 0.6 0.08 0.05 0.01 5 0.1 0.02 0.01 0.00 Australia, South 26 0.5 0.10 0.05 0.01 3 0.1 0.04 0.01 0.00 Australia, Tasmania 5 0.3 0.14 0.04 0.02 2 0.1 0.10 0.02 0.01 Australia, Victoria 183 1.3 0.10 0.12 0.01 22 0.1 0.02 0.01 0.00 Australia, Western 16 0.3 0.08 0.03 0.01 6 0.1 0.04 0.01 0.00 New Zealand 42 0.4 0.06 0.03 0.01 2 0.0 0.02 0.00 0.00 USA, Hawaii: White 81 7.0 0.80 0.60 0.07 0 - - - - USA, Hawaii: Chinese 3 1.5 0.87 0.13 0.07 0 - - - - USA, Hawaii: Filipino 8 1.5 0.55 0.15 0.06 0 - - - - USA, Hawaii: Hawaiian 10 1.8 0.57 0.14 0.05 1 0.1 0.13 - - USA, Hawaii: Japanese 10 1.3 0.43 0.10 0.03 0 - - - -

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsConnective and soft tissue (C47+C49)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 53 1.2 0.17 0.11 0.02 50 0.9 0.14 0.09 0.02*France, La Reunion 6 1.0 0.44 0.10 0.05 2 0.3 0.20 0.05 0.04*The Gambia 8 1.5 0.61 - - 6 0.7 0.37 - - *Mali, Bamako 10 1.5 0.56 0.14 0.07 4 0.5 0.29 0.04 0.02*Uganda, Kyadondo County 35 2.2 0.47 0.21 0.07 47 3.0 0.56 0.30 0.07*Zimbabwe, Harare: African 34 1.8 0.45 0.14 0.05 36 2.2 0.55 0.32 0.11

America, Central and South*Argentina, Bahia Blanca 18 1.7 0.41 0.20 0.06 27 2.2 0.44 0.23 0.05*Argentina, Concordia 5 1.5 0.66 0.18 0.10 8 2.3 0.83 0.21 0.09*Brazil, Campinas 31 1.7 0.32 0.15 0.04 49 2.3 0.34 0.24 0.04*Brazil, Goiania 41 2.7 0.46 0.28 0.06 41 2.3 0.38 0.24 0.05 Colombia, Cali 66 2.1 0.27 0.22 0.04 77 2.0 0.24 0.20 0.03*Costa Rica 47 1.5 0.22 0.14 0.03 35 1.2 0.21 0.12 0.03*Cuba, Villa Clara 15 0.8 0.23 0.07 0.03 12 0.8 0.23 0.11 0.04*Ecuador, Quito 66 2.6 0.35 0.28 0.05 64 2.2 0.29 0.22 0.04*France, Martinique 25 2.6 0.53 0.27 0.06 20 1.5 0.35 0.13 0.04*USA, Puerto Rico 44 1.2 0.18 0.12 0.02 54 1.3 0.18 0.12 0.02*Uruguay, Montevideo 67 2.9 0.37 0.29 0.04 76 2.5 0.32 0.25 0.03

America, North Canada 1937 2.2 0.05 0.22 0.01 1591 1.7 0.05 0.16 0.00 Canada, Alberta 158 2.1 0.17 0.22 0.02 129 1.6 0.15 0.16 0.02 Canada, British Columbia 250 2.2 0.15 0.20 0.02 192 1.5 0.12 0.15 0.01 Canada, Manitoba 78 2.2 0.26 0.22 0.03 55 1.2 0.19 0.11 0.02 Canada, New Brunswick 37 1.5 0.27 0.13 0.03 45 1.8 0.30 0.18 0.03 Canada, Newfoundland 29 1.8 0.34 0.23 0.05 22 1.3 0.29 0.12 0.03 Canada, Northwest Territories 4 1.1 0.67 0.18 0.15 4 0.7 0.37 0.05 0.03 Canada, Nova Scotia 77 2.6 0.31 0.28 0.04 49 1.5 0.24 0.14 0.03 Canada, Ontario 796 2.4 0.09 0.24 0.01 649 1.8 0.08 0.17 0.01 Canada, Prince Edward Island 3 0.7 0.43 0.07 0.05 6 1.5 0.73 0.10 0.05+Canada, Quebec 444 2.1 0.10 0.19 0.01 394 1.7 0.09 0.15 0.01 Canada, Saskatchewan 63 1.8 0.25 0.18 0.03 47 1.4 0.23 0.13 0.02 Canada, Yukon 2 1.2 0.87 0.03 0.03 3 0.9 0.50 0.07 0.04 USA, California, Los Angeles: Non-Hispanic White 421 3.4 0.20 0.31 0.02 294 2.1 0.16 0.19 0.01 USA, California, Los Angeles: Hispanic White 132 2.4 0.24 0.23 0.03 124 2.0 0.19 0.18 0.02 USA, California, Los Angeles: Black 68 2.9 0.36 0.30 0.04 74 2.5 0.30 0.21 0.03 USA, California, Los Angeles: Chinese 13 1.9 0.56 0.13 0.04 6 0.7 0.30 0.07 0.03 USA, California, Los Angeles: Filipino 9 1.5 0.52 0.13 0.06 13 1.8 0.53 0.16 0.05 USA, California, Los Angeles: Japanese 4 0.8 0.43 0.06 0.04 3 0.5 0.32 0.02 0.02 USA, California, Los Angeles: Korean 3 0.5 0.29 0.04 0.03 3 0.5 0.29 0.05 0.03 USA, California, San Francisco: Non-Hispanic White 176 2.4 0.21 0.21 0.02 145 2.1 0.21 0.19 0.02 USA, California, San Francisco: Hispanic White 42 3.4 0.56 0.32 0.06 21 1.5 0.35 0.14 0.04 USA, California, San Francisco: Black 31 2.6 0.48 0.29 0.06 30 2.1 0.39 0.20 0.04 USA, Connecticut: White 235 2.5 0.18 0.25 0.02 194 1.8 0.15 0.17 0.01 USA, Connecticut: Black 19 2.7 0.64 0.25 0.08 12 1.3 0.38 0.11 0.05 USA, Georgia, Atlanta: White 136 3.5 0.31 0.34 0.04 84 1.7 0.20 0.18 0.02 USA, Georgia, Atlanta: Black 53 3.2 0.48 0.37 0.07 44 2.1 0.33 0.22 0.04 USA, Iowa 244 2.6 0.18 0.24 0.02 233 2.1 0.16 0.20 0.02 USA, Louisiana, Central Region: White 12 1.6 0.48 0.15 0.06 7 1.2 0.49 0.13 0.05 USA, Louisiana, Central Region: Black 9 5.3 1.81 0.66 0.25 4 0.7 0.34 - - USA, Louisiana, New Orleans: White 46 2.5 0.39 0.25 0.04 38 1.8 0.34 0.16 0.03 USA, Louisiana, New Orleans: Black 27 3.3 0.64 0.36 0.08 16 1.4 0.37 0.12 0.04 USA, Michigan, Detroit: White 244 2.6 0.18 0.23 0.02 203 1.9 0.16 0.17 0.01 USA, Michigan, Detroit: Black 64 2.7 0.35 0.27 0.04 68 2.1 0.28 0.19 0.03 USA, New Jersey: White 598 2.9 0.13 0.28 0.01 489 2.0 0.11 0.20 0.01 USA, New Jersey: Black 78 2.9 0.34 0.30 0.04 74 2.3 0.28 0.21 0.03 USA, New Mexico: Non-Hispanic White 83 2.7 0.32 0.28 0.04 58 1.9 0.29 0.16 0.03 USA, New Mexico: Hispanic White 36 2.3 0.40 0.24 0.05 35 2.0 0.35 0.19 0.04 USA, New Mexico: American Indian 6 1.6 0.70 0.11 0.06 6 1.5 0.62 0.09 0.04 USA, New York State: White 1137 2.6 0.08 0.26 0.01 1086 2.1 0.07 0.20 0.01 USA, New York State: Black 134 1.8 0.16 0.19 0.02 180 1.9 0.15 0.17 0.02 USA, Utah 139 2.8 0.25 0.29 0.03 110 2.0 0.20 0.17 0.02 USA, Washington, Seattle 305 2.8 0.17 0.27 0.02 235 2.0 0.15 0.19 0.01 USA, SEER: White 1619 2.7 0.07 0.25 0.01 1299 1.9 0.06 0.18 0.01 USA, SEER: Black 185 2.9 0.22 0.30 0.03 170 2.1 0.17 0.20 0.02

Asia*China, Beijing 64 0.9 0.12 0.10 0.01 68 1.0 0.14 0.09 0.01

+*China, Changle *China, Cixian *China, Hong Kong 328 1.9 0.11 0.17 0.01 298 1.7 0.11 0.16 0.01*China, Jiashan 9 0.7 0.25 0.08 0.03 8 0.7 0.26 0.08 0.03

+*China, Qidong County 6 0.2 0.09 0.03 0.01 4 0.1 0.04 0.00 0.00+*China, Shanghai 340 1.6 0.10 0.15 0.01 232 1.2 0.10 0.11 0.01

*China, Taiwan 180 1.5 0.12 0.15 0.01 170 1.5 0.12 0.14 0.01*China, Tianjin 147 1.4 0.12 0.14 0.01 93 0.8 0.10 0.08 0.01+China, Wuhan 108 1.1 0.12 0.11 0.01 102 0.9 0.09 0.11 0.01

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rates and standard errorsConnective and soft tissue (C47+C49) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 69 0.9 0.12 0.09 0.01 61 0.8 0.11 0.09 0.02*India, Bangalore 98 1.0 0.10 0.10 0.01 59 0.6 0.09 0.06 0.01 India, Chennai (Madras) 87 0.9 0.11 0.10 0.01 86 1.0 0.11 0.10 0.01*India, Delhi 220 1.3 0.10 0.14 0.01 167 1.1 0.10 0.11 0.01*India, Karunagappally 7 0.7 0.28 0.09 0.04 4 0.4 0.18 0.03 0.02 India, Mumbai (Bombay) 293 1.3 0.08 0.13 0.01 188 1.0 0.08 0.11 0.01*India, Nagpur 45 2.1 0.33 0.21 0.04 38 1.7 0.30 0.17 0.04*India, Poona 77 1.4 0.17 0.13 0.02 73 1.5 0.18 0.13 0.02*India, Trivandrum 22 0.9 0.20 0.10 0.02 16 0.6 0.16 0.09 0.03 Israel: Jews 328 2.7 0.15 0.28 0.02 341 2.5 0.14 0.26 0.02 Israel: Jews born in Israel 96 2.7 0.40 0.26 0.05 98 2.5 0.33 0.29 0.06 Israel: Jews born in Europe or America 156 3.1 0.42 0.32 0.03 193 3.1 0.30 0.32 0.03 Israel: Jews born in Africa or Asia 76 2.5 0.43 0.25 0.04 50 1.9 0.55 0.18 0.04 Israel: Non-Jews 23 1.2 0.30 0.12 0.04 32 1.7 0.33 0.21 0.05 Japan, Hiroshima 37 1.1 0.19 0.13 0.03 27 0.9 0.19 0.08 0.02*Japan, Miyagi Prefecture 96 1.5 0.17 0.12 0.01 69 0.9 0.13 0.09 0.01*Japan, Nagasaki Prefecture 46 0.8 0.13 0.09 0.01 38 0.6 0.12 0.06 0.01*Japan, Osaka Prefecture 213 0.9 0.07 0.08 0.01 213 0.8 0.07 0.07 0.01*Japan, Saga Prefecture 16 0.6 0.17 0.05 0.01 14 0.4 0.15 0.04 0.01*Japan, Yamagata Prefecture 16 0.4 0.10 0.03 0.01 16 0.3 0.10 0.03 0.01*Korea, Busan 51 1.4 0.21 0.14 0.03 43 1.0 0.16 0.10 0.02*Korea, Daegu 23 1.2 0.26 0.14 0.04 27 1.1 0.21 0.11 0.03*Korea, Kangwha County 1 0.4 0.45 0.05 0.05 0 - - - - *Korea, Seoul 290 1.4 0.09 0.14 0.01 243 0.9 0.06 0.10 0.01*Kuwait: Kuwaitis 8 0.8 0.33 0.07 0.03 7 0.5 0.19 0.03 0.01*Kuwait: Non-Kuwaitis 21 2.9 1.38 0.05 0.02 8 0.9 0.45 0.09 0.05*Oman: Omani 47 1.8 0.28 0.16 0.03 38 1.4 0.25 0.12 0.02*Pakistan, South Karachi 63 3.3 0.44 0.34 0.06 33 2.1 0.43 0.22 0.06*Philippines, Manila 218 2.8 0.22 0.31 0.03 203 2.2 0.17 0.23 0.02*Philippines, Rizal 144 1.7 0.17 0.16 0.02 150 1.6 0.15 0.18 0.02 Singapore: Chinese 87 1.5 0.17 0.16 0.02 64 1.0 0.13 0.09 0.01 Singapore: Indian 3 0.4 0.24 0.04 0.03 5 1.0 0.48 0.12 0.06 Singapore: Malay 16 1.8 0.47 0.18 0.06 8 0.9 0.34 0.08 0.04*Thailand, Bangkok 89 1.4 0.15 0.12 0.02 101 1.2 0.13 0.12 0.01*Thailand, Chiang Mai 24 0.7 0.15 0.06 0.01 31 0.9 0.17 0.08 0.02*Thailand, Khon Kaen 36 1.1 0.18 0.10 0.02 44 1.1 0.18 0.10 0.02*Thailand, Lampang 12 0.6 0.19 0.08 0.03 17 0.8 0.21 0.07 0.02*Thailand, Songkhla 15 0.6 0.17 0.05 0.02 19 0.9 0.21 0.10 0.03*Viet Nam, Hanoi 89 1.9 0.21 - - 70 1.3 0.16 - - *Viet Nam, Ho Chi Minh City 89 1.2 0.14 0.13 0.02 80 0.9 0.10 0.10 0.01

Europe Austria, Tyrol 45 2.5 0.40 0.22 0.04 43 1.8 0.30 0.21 0.04 Austria, Vorarlberg 24 2.6 0.54 0.25 0.06 22 1.5 0.36 0.15 0.04

+*Belarus 552 2.1 0.09 0.21 0.01 610 1.7 0.07 0.17 0.01*Belgium, Flanders, (excl. Limburg) 174 2.6 0.21 0.25 0.02 164 2.1 0.19 0.21 0.02*Belgium, Limburg 22 2.1 0.48 0.21 0.05 13 1.2 0.36 0.12 0.04*Croatia 177 1.3 0.10 0.14 0.01 184 1.0 0.09 0.10 0.01 Czech Republic 625 2.0 0.09 0.21 0.01 586 1.6 0.07 0.16 0.01 Denmark 364 2.0 0.12 0.20 0.01 312 1.6 0.11 0.16 0.01 Estonia 71 2.0 0.25 0.17 0.02 70 1.2 0.17 0.12 0.02 Finland 385 2.6 0.15 0.24 0.01 440 2.5 0.14 0.23 0.01 France, Bas-Rhin 76 2.7 0.33 0.25 0.03 46 1.4 0.23 0.13 0.02*France, Calvados 44 2.2 0.34 0.22 0.04 41 1.5 0.28 0.13 0.03 France, Cote d’Or France, Doubs 41 2.7 0.44 0.24 0.05 24 1.6 0.36 0.15 0.03 France, Haut-Rhin 42 2.0 0.33 0.18 0.03 32 1.3 0.25 0.13 0.03*France, Herault 72 2.4 0.32 0.21 0.03 72 2.2 0.29 0.23 0.03 France, Isere 74 2.3 0.29 0.24 0.03 67 1.7 0.24 0.14 0.02*France, Manche 31 2.2 0.41 0.18 0.04 22 1.3 0.38 0.09 0.03*France, Somme 19 0.8 0.20 0.05 0.02 18 1.0 0.28 0.08 0.02 France, Tarn 26 2.5 0.60 0.18 0.04 23 1.6 0.50 0.11 0.03 Germany, Saarland 98 2.9 0.33 0.26 0.03 80 1.9 0.26 0.19 0.02 Iceland 21 2.9 0.64 0.28 0.07 14 1.8 0.52 0.11 0.04 Ireland 182 2.2 0.17 0.23 0.02 139 1.5 0.14 0.14 0.01 Italy, Biella Province 9 1.7 0.61 0.20 0.08 17 4.0 1.40 0.35 0.10 Italy, Ferrara Province 30 2.5 0.55 0.27 0.05 32 3.4 0.87 0.25 0.05*Italy, Florence 95 2.2 0.27 0.23 0.03 76 1.7 0.26 0.15 0.02 Italy, Genoa Province 69 2.4 0.38 0.22 0.03 52 1.6 0.31 0.15 0.02 Italy, Liguria Italy, Macerata Province 24 2.0 0.49 0.19 0.05 13 0.9 0.29 0.11 0.03 Italy, Modena Province 33 1.4 0.27 0.15 0.03 40 1.3 0.24 0.15 0.03 Italy, North East 101 2.4 0.29 0.21 0.02 89 1.6 0.20 0.16 0.02

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rates and standard errorsConnective and soft tissue (C47+C49) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 39 3.3 0.75 0.28 0.05 30 1.6 0.37 0.17 0.04*Italy, Ragusa Province 11 1.0 0.31 0.08 0.03 13 1.3 0.37 0.14 0.04 Italy, Romagna 77 2.3 0.33 0.21 0.03 61 1.8 0.32 0.16 0.02 Italy, Sassari 33 2.4 0.45 0.28 0.05 23 1.5 0.33 0.15 0.03 Italy, Torino 59 1.6 0.23 0.16 0.02 73 2.0 0.33 0.19 0.03 Italy, Umbria 35 2.0 0.39 0.18 0.04 35 1.7 0.38 0.13 0.03 Italy, Varese Province 58 2.1 0.29 0.22 0.03 35 1.4 0.32 0.12 0.02 Italy, Venetian Region 133 2.7 0.27 0.27 0.03 123 2.3 0.28 0.19 0.02*Latvia 106 1.6 0.16 0.15 0.02 148 1.6 0.15 0.15 0.01 Lithuania 140 1.4 0.13 0.14 0.01 192 1.5 0.12 0.15 0.01 Malta 24 2.3 0.48 0.20 0.05 18 1.5 0.41 0.10 0.03 The Netherlands 1212 2.6 0.08 0.25 0.01 1011 1.9 0.07 0.17 0.01 The Netherlands, Eindhoven 90 3.0 0.33 0.31 0.04 60 1.7 0.25 0.13 0.02 The Netherlands, Maastricht 75 2.7 0.34 0.28 0.04 60 1.9 0.29 0.15 0.02 Norway 341 2.3 0.14 0.24 0.02 274 1.6 0.12 0.15 0.01*Poland, Cracow 26 1.3 0.27 0.13 0.03 30 1.3 0.29 0.11 0.02*Poland, Kielce 43 1.6 0.26 0.18 0.03 39 1.4 0.24 0.12 0.02*Poland, Lower Silesia 122 1.6 0.16 0.15 0.02 114 1.2 0.13 0.11 0.01 Poland, Warsaw City 95 2.0 0.23 0.21 0.02 96 1.8 0.23 0.15 0.02*Portugal, Vila Nova de Gaia 14 2.0 0.58 0.18 0.06 8 1.0 0.36 0.12 0.05*Russia, St Petersburg 191 1.9 0.15 0.21 0.02 256 1.7 0.13 0.16 0.01 Slovakia 258 1.8 0.12 0.18 0.01 252 1.5 0.10 0.15 0.01 Slovenia 69 1.2 0.15 0.12 0.02 76 1.1 0.14 0.11 0.01 Spain, Albacete 17 1.4 0.36 0.13 0.04 7 0.6 0.28 0.07 0.03 Spain, Asturias 62 2.1 0.32 0.20 0.03 69 1.9 0.29 0.21 0.03*Spain, Canary Islands 48 2.1 0.32 0.18 0.03 43 1.9 0.31 0.16 0.03 Spain, Cuenca 10 1.1 0.39 0.08 0.04 7 1.7 0.71 0.12 0.05 Spain, Girona 27 2.2 0.46 0.26 0.06 18 1.4 0.43 0.11 0.04 Spain, Granada 51 2.4 0.36 0.23 0.03 37 1.3 0.24 0.12 0.02 Spain, Mallorca 27 1.7 0.37 0.16 0.04 25 1.5 0.35 0.15 0.03 Spain, Murcia 78 3.3 0.39 0.32 0.04 53 1.8 0.26 0.18 0.03 Spain, Navarra 35 2.1 0.40 0.18 0.04 26 1.5 0.35 0.13 0.03 Spain, Tarragona 35 1.6 0.30 0.16 0.03 22 1.1 0.29 0.09 0.02*Spain, Zaragoza 64 2.1 0.27 0.25 0.03 50 1.6 0.28 0.17 0.03 Sweden 784 2.5 0.10 0.24 0.01 689 2.0 0.09 0.20 0.01 Switzerland, Basel 43 2.6 0.44 0.25 0.05 37 1.9 0.41 0.17 0.04 Switzerland, Geneva 25 1.9 0.45 0.19 0.05 17 1.2 0.35 0.12 0.03 Switzerland, Graubunden and Glarus 14 1.7 0.49 0.19 0.06 10 1.7 0.64 0.13 0.05 Switzerland, Neuchatel 10 2.8 0.95 0.22 0.07 5 1.1 0.60 0.11 0.05 Switzerland, St Gall-Appenzell 40 2.4 0.41 0.21 0.04 40 2.0 0.37 0.21 0.04*Switzerland, Ticino 8 1.5 0.60 0.12 0.06 6 1.7 0.80 0.14 0.06 Switzerland, Valais 24 3.0 0.65 0.34 0.08 18 1.9 0.48 0.20 0.05 Switzerland, Vaud 41 3.1 0.53 0.23 0.04 48 2.7 0.45 0.25 0.04 Switzerland, Zurich 84 2.5 0.29 0.24 0.03 71 1.7 0.23 0.19 0.03*UK, England 3001 1.8 0.04 0.18 0.00 2600 1.4 0.03 0.13 0.00 UK, England, East Anglia 129 1.7 0.16 0.16 0.02 126 1.4 0.15 0.14 0.02 UK, England, Merseyside and Cheshire 158 2.0 0.17 0.19 0.02 124 1.4 0.14 0.13 0.01 UK, England, North Western 209 1.6 0.12 0.16 0.01 195 1.4 0.11 0.13 0.01 UK, England, Oxford Region 179 2.2 0.17 0.22 0.02 149 1.6 0.15 0.15 0.02*UK, England, South Thames 415 1.9 0.10 0.18 0.01 349 1.3 0.09 0.13 0.01*UK, England, South and Western Regions 527 2.2 0.11 0.22 0.01 431 1.6 0.09 0.15 0.01 UK, England, Trent 286 1.7 0.11 0.17 0.01 247 1.4 0.10 0.13 0.01*UK, England, West Midlands Region 343 2.0 0.11 0.19 0.01 287 1.6 0.11 0.14 0.01 UK, England, Yorkshire 245 2.0 0.14 0.20 0.01 173 1.2 0.11 0.11 0.01 UK, Northern Ireland 134 2.9 0.26 0.28 0.03 95 1.7 0.19 0.16 0.02 UK, Scotland 353 2.2 0.13 0.20 0.01 293 1.6 0.11 0.15 0.01*Yugoslavia, Vojvodina 89 1.5 0.17 0.14 0.02 78 1.1 0.14 0.10 0.01

Oceania Australia, Capital Territory 14 2.1 0.57 0.17 0.06 12 1.5 0.44 0.21 0.07 Australia, New South Wales 431 2.4 0.12 0.22 0.01 303 1.5 0.09 0.14 0.01 Australia, Northern Territory 11 2.2 0.68 0.17 0.06 2 0.4 0.28 0.03 0.02 Australia, Queensland 327 3.2 0.19 0.31 0.02 252 2.3 0.16 0.22 0.02 Australia, South 134 2.9 0.27 0.27 0.03 111 1.9 0.21 0.19 0.02 Australia, Tasmania 31 2.2 0.41 0.23 0.05 24 1.4 0.33 0.14 0.04 Australia, Victoria 359 2.6 0.14 0.26 0.02 262 1.7 0.12 0.16 0.01 Australia, Western 108 2.1 0.21 0.21 0.03 75 1.5 0.18 0.14 0.02 New Zealand 307 2.8 0.17 0.28 0.02 230 2.0 0.14 0.19 0.01 USA, Hawaii: White 27 3.0 0.63 0.24 0.06 22 2.6 0.63 0.27 0.07 USA, Hawaii: Chinese 3 1.0 0.63 0.05 0.05 5 2.5 1.29 0.21 0.10 USA, Hawaii: Filipino 11 2.0 0.64 0.24 0.09 5 1.3 0.57 0.11 0.05 USA, Hawaii: Hawaiian 11 2.3 0.70 0.21 0.08 14 2.6 0.71 0.33 0.10 USA, Hawaii: Japanese 19 1.8 0.49 0.22 0.05 22 1.9 0.64 0.15 0.04

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rates and standard errorsBreast (C50)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 26 0.7 0.14 0.08 0.02 906 21.3 0.74 2.25 0.09*France, La Reunion 5 1.1 0.48 0.17 0.08 174 29.2 2.26 3.44 0.30*The Gambia 1 0.2 0.22 - - 41 7.0 1.32 - - *Mali, Bamako 5 0.8 0.38 0.09 0.05 103 20.0 2.10 2.09 0.25*Uganda, Kyadondo County 10 1.0 0.35 0.09 0.05 224 20.7 1.59 2.15 0.20*Zimbabwe, Harare: African 4 0.5 0.28 0.02 0.01 237 20.3 1.58 2.22 0.23

America, Central and South*Argentina, Bahia Blanca 9 0.9 0.30 0.09 0.03 1112 86.1 2.69 9.96 0.34*Argentina, Concordia 1 0.3 0.33 0.03 0.03 209 55.1 3.90 6.36 0.52*Brazil, Campinas 7 0.5 0.17 0.05 0.03 884 43.9 1.50 5.01 0.20*Brazil, Goiania 8 0.7 0.25 0.10 0.04 797 49.1 1.80 5.67 0.25 Colombia, Cali 4 0.1 0.07 0.01 0.01 1306 37.3 1.08 4.27 0.15*Costa Rica 4 0.2 0.08 0.01 0.01 819 30.9 1.11 3.48 0.15*Cuba, Villa Clara 5 0.3 0.14 0.03 0.02 451 28.9 1.41 3.28 0.18*Ecuador, Quito 5 0.2 0.11 0.03 0.02 665 26.5 1.06 3.01 0.14*France, Martinique 0 - - - - 484 40.3 1.90 4.33 0.22*USA, Puerto Rico 26 0.7 0.14 0.08 0.02 2091 49.7 1.12 5.60 0.14

† *Uruguay, Montevideo 31 1.2 0.23 0.14 0.03 3679 114.9 2.04 13.21 0.25America, North

Canada 566 0.6 0.03 0.07 0.00 81861 78.5 0.29 9.02 0.04 Canada, Alberta 51 0.6 0.09 0.07 0.01 6523 78.8 1.02 9.09 0.13 Canada, British Columbia 74 0.6 0.07 0.07 0.01 10905 79.1 0.80 9.10 0.10 Canada, Manitoba 23 0.6 0.12 0.06 0.02 3443 84.1 1.56 9.69 0.20 Canada, New Brunswick 19 0.7 0.15 0.07 0.02 2135 78.6 1.81 8.94 0.23 Canada, Newfoundland 11 0.6 0.20 0.09 0.03 1237 68.3 2.02 7.74 0.26 Canada, Northwest Territories 2 0.9 0.64 0.13 0.10 131 51.6 4.83 5.58 0.65 Canada, Nova Scotia 26 0.7 0.15 0.09 0.02 2801 81.3 1.64 9.39 0.21 Canada, Ontario 201 0.6 0.04 0.07 0.01 30999 79.1 0.47 9.07 0.06 Canada, Prince Edward Island 2 0.4 0.33 0.04 0.04 367 76.7 4.29 8.74 0.54+Canada, Quebec 144 0.6 0.05 0.09 0.01 20528 77.1 0.56 8.87 0.07 Canada, Saskatchewan 13 0.3 0.10 0.03 0.01 2821 76.4 1.58 8.89 0.20 Canada, Yukon 3 2.3 1.34 0.26 0.18 104 62.8 6.58 7.05 0.91 USA, California, Los Angeles: Non-Hispanic White 135 1.0 0.09 0.11 0.01 15291 103.9 0.94 12.04 0.12 USA, California, Los Angeles: Hispanic White 14 0.4 0.11 0.02 0.01 3227 62.5 1.14 7.36 0.16 USA, California, Los Angeles: Black 35 1.5 0.26 0.18 0.04 2580 82.3 1.68 9.30 0.21 USA, California, Los Angeles: Chinese 3 0.4 0.21 0.03 0.02 392 42.6 2.22 4.54 0.26 USA, California, Los Angeles: Filipino 2 0.4 0.25 0.07 0.05 650 74.8 3.02 7.95 0.36 USA, California, Los Angeles: Japanese 2 0.3 0.19 0.05 0.04 408 76.2 4.12 8.05 0.45 USA, California, Los Angeles: Korean 1 0.3 0.28 0.05 0.05 163 28.4 2.25 3.16 0.27 USA, California, San Francisco: Non-Hispanic White 72 0.9 0.12 0.12 0.02 9376 109.6 1.24 12.72 0.16 USA, California, San Francisco: Hispanic White 4 0.4 0.19 0.05 0.03 904 71.3 2.46 8.31 0.32 USA, California, San Francisco: Black 7 0.6 0.24 0.09 0.04 1092 76.4 2.41 8.59 0.30 USA, Connecticut: White 109 1.0 0.11 0.13 0.01 11579 97.7 1.00 11.25 0.12 USA, Connecticut: Black 8 1.6 0.55 0.11 0.05 612 75.0 3.10 8.63 0.42 USA, Georgia, Atlanta: White 26 0.7 0.13 0.08 0.02 5009 97.6 1.43 11.33 0.19 USA, Georgia, Atlanta: Black 9 0.5 0.18 0.05 0.02 1770 84.0 2.11 9.54 0.29 USA, Iowa 51 0.5 0.07 0.05 0.01 9856 84.0 0.94 9.70 0.12 USA, Louisiana, Central Region: White 7 1.1 0.42 0.15 0.06 595 68.8 3.06 7.96 0.39 USA, Louisiana, Central Region: Black 5 2.1 0.95 0.22 0.14 129 54.4 5.08 6.42 0.67 USA, Louisiana, New Orleans: White 21 1.0 0.22 0.12 0.03 2223 87.4 2.01 10.20 0.25 USA, Louisiana, New Orleans: Black 12 1.5 0.44 0.16 0.06 955 83.5 2.78 9.41 0.36 USA, Michigan, Detroit: White 97 0.9 0.10 0.10 0.01 10339 87.7 0.92 10.20 0.12 USA, Michigan, Detroit: Black 31 1.2 0.23 0.13 0.03 2583 81.3 1.66 9.31 0.21 USA, New Jersey: White 272 1.2 0.07 0.14 0.01 25344 95.5 0.65 11.02 0.08 USA, New Jersey: Black 26 1.1 0.21 0.14 0.03 2624 76.1 1.51 8.64 0.20 USA, New Mexico: Non-Hispanic White 24 0.8 0.16 0.10 0.02 3071 90.3 1.73 10.56 0.22 USA, New Mexico: Hispanic White 5 0.4 0.17 0.05 0.03 1041 61.6 1.96 6.91 0.25 USA, New Mexico: American Indian 0 - - - - 122 38.1 3.53 4.29 0.46 USA, New York State: White 481 1.0 0.05 0.12 0.01 51612 90.6 0.43 10.53 0.05 USA, New York State: Black 73 1.0 0.12 0.12 0.02 6705 66.3 0.83 7.56 0.11 USA, Utah 31 0.6 0.11 0.07 0.02 4061 76.1 1.26 8.99 0.17 USA, Washington, Seattle 63 0.5 0.07 0.06 0.01 12190 96.0 0.92 11.25 0.12 USA, SEER: White 477 0.7 0.04 0.09 0.00 67272 92.1 0.38 10.69 0.05 USA, SEER: Black 63 1.1 0.14 0.11 0.02 6527 83.1 1.07 9.45 0.14

Asia*China, Beijing 19 0.2 0.06 0.03 0.01 1985 24.6 0.58 2.69 0.07

+*China, Changle *China, Cixian *China, Hong Kong 31 0.2 0.03 0.02 0.00 6902 36.2 0.46 3.81 0.05*China, Jiashan 3 0.3 0.16 0.04 0.02 108 9.1 0.89 0.96 0.10

+*China, Qidong County 2 0.1 0.04 0.01 0.01 328 10.0 0.57 1.02 0.06+*China, Shanghai 73 0.3 0.03 0.03 0.00 6638 27.2 0.34 2.96 0.04

*China, Taiwan 25 0.2 0.04 0.03 0.01 3628 31.3 0.53 3.28 0.06*China, Tianjin 20 0.2 0.04 0.02 0.00 3109 24.7 0.46 2.67 0.05+China, Wuhan 0 - - - - 2115 18.1 0.40 1.94 0.05

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rates and standard errorsBreast (C50) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 21 0.3 0.08 0.04 0.01 1165 19.1 0.59 2.15 0.08*India, Bangalore 17 0.2 0.06 0.03 0.01 1638 21.1 0.54 2.40 0.07 India, Chennai (Madras) 22 0.3 0.07 0.04 0.01 1891 23.9 0.56 2.70 0.07*India, Delhi 88 0.7 0.08 0.09 0.01 3366 28.7 0.52 3.14 0.07*India, Karunagappally 1 0.1 0.13 0.02 0.02 148 15.0 1.26 1.50 0.14 India, Mumbai (Bombay) 58 0.3 0.05 0.04 0.01 4744 28.9 0.44 3.33 0.06*India, Nagpur 19 0.9 0.21 0.10 0.03 459 24.2 1.18 2.50 0.14*India, Poona 23 0.5 0.11 0.06 0.01 1142 26.9 0.83 3.02 0.11*India, Trivandrum 3 0.1 0.07 0.01 0.01 504 19.7 0.89 2.12 0.11 Israel: Jews 180 1.4 0.11 0.16 0.01 12067 87.1 0.83 9.86 0.10 Israel: Jews born in Israel 32 1.5 0.33 0.15 0.04 2744 89.5 2.06 10.07 0.28 Israel: Jews born in Europe or America 112 1.6 0.17 0.19 0.02 6865 98.5 1.41 11.30 0.16 Israel: Jews born in Africa or Asia 36 0.9 0.16 0.10 0.02 2458 65.1 1.43 7.16 0.16 Israel: Non-Jews 7 0.6 0.23 0.07 0.03 440 27.7 1.36 2.95 0.17 Japan, Hiroshima 3 0.1 0.05 0.01 0.01 1420 36.6 0.99 3.90 0.11*Japan, Miyagi Prefecture 21 0.2 0.05 0.03 0.01 2846 33.1 0.64 3.52 0.07*Japan, Nagasaki Prefecture 19 0.3 0.07 0.04 0.01 1890 29.8 0.73 3.17 0.08*Japan, Osaka Prefecture 49 0.2 0.02 0.02 0.00 9308 27.9 0.30 2.96 0.03*Japan, Saga Prefecture 7 0.2 0.06 0.01 0.01 834 23.6 0.87 2.53 0.09*Japan, Yamagata Prefecture 11 0.2 0.06 0.02 0.01 1479 28.3 0.80 3.00 0.08*Korea, Busan 6 0.3 0.11 0.03 0.02 822 18.6 0.66 1.93 0.08*Korea, Daegu 2 0.2 0.13 0.00 0.00 557 20.0 0.86 2.03 0.10*Korea, Kangwha County 1 0.6 0.58 0.05 0.05 29 12.7 2.53 1.17 0.23*Korea, Seoul 42 0.2 0.04 0.02 0.00 5816 20.8 0.28 2.19 0.03*Kuwait: Kuwaitis 6 0.9 0.37 0.07 0.03 276 32.8 2.10 3.47 0.26*Kuwait: Non-Kuwaitis 5 1.2 1.03 0.02 0.02 282 34.3 3.02 3.77 0.44*Oman: Omani 12 0.6 0.19 0.07 0.02 243 12.7 0.84 1.36 0.10*Pakistan, South Karachi 10 0.6 0.21 0.07 0.03 698 53.1 2.16 5.56 0.27*Philippines, Manila 46 0.8 0.13 0.10 0.02 4432 54.2 0.86 6.01 0.12*Philippines, Rizal 26 0.4 0.09 0.04 0.01 3543 43.0 0.78 4.81 0.11 Singapore: Chinese 14 0.2 0.06 0.03 0.01 2950 44.7 0.84 4.80 0.10 Singapore: Indian 2 0.2 0.17 0.01 0.01 167 36.7 3.02 4.32 0.43 Singapore: Malay 2 0.2 0.17 0.02 0.02 347 37.1 2.07 3.85 0.24*Thailand, Bangkok 28 0.4 0.07 0.03 0.01 2298 25.5 0.55 2.78 0.07*Thailand, Chiang Mai 1 0.0 0.03 0.00 0.00 618 16.1 0.66 1.64 0.07*Thailand, Khon Kaen 4 0.2 0.08 0.02 0.01 445 10.8 0.52 1.10 0.06*Thailand, Lampang 12 0.6 0.18 0.07 0.03 376 17.0 0.90 1.75 0.10*Thailand, Songkhla 3 0.1 0.09 - - 253 11.7 0.75 1.23 0.09*Viet Nam, Hanoi 45 1.0 0.15 - - 1058 21.0 0.66 - - *Viet Nam, Ho Chi Minh City 14 0.2 0.07 0.03 0.01 1156 13.6 0.41 1.50 0.05

Europe Austria, Tyrol 10 0.4 0.14 0.03 0.02 1722 68.9 1.78 7.88 0.22 Austria, Vorarlberg 8 0.7 0.26 0.07 0.03 893 71.1 2.53 7.92 0.31

+*Belarus 108 0.4 0.04 0.04 0.00 12383 33.0 0.31 3.67 0.03*Belgium, Flanders, (excl. Limburg) 70 0.8 0.10 0.10 0.01 7274 88.1 1.10 9.75 0.13*Belgium, Limburg 13 1.1 0.30 0.13 0.04 811 71.8 2.60 7.97 0.31*Croatia 136 0.9 0.08 0.11 0.01 8781 47.3 0.53 5.48 0.06 Czech Republic 172 0.5 0.04 0.06 0.01 22175 52.9 0.37 6.07 0.05 Denmark 110 0.5 0.05 0.07 0.01 17082 81.3 0.67 9.31 0.08 Estonia 22 0.5 0.11 0.07 0.02 2527 41.5 0.87 4.65 0.10 Finland 66 0.4 0.05 0.04 0.01 14974 72.4 0.63 7.99 0.07 France, Bas-Rhin 35 1.1 0.19 0.15 0.03 2994 83.4 1.62 9.20 0.19*France, Calvados 20 1.0 0.22 0.11 0.03 1878 81.6 2.01 8.89 0.23 France, Cote d’Or 8 0.4 0.14 0.04 0.02 1432 76.5 2.17 8.53 0.26 France, Doubs 9 0.6 0.19 0.09 0.03 1332 74.7 2.17 8.30 0.26 France, Haut-Rhin 18 0.8 0.18 0.08 0.02 2125 83.3 1.92 9.40 0.23*France, Herault 28 0.8 0.17 0.09 0.02 2747 81.5 1.67 9.10 0.19 France, Isere 27 0.8 0.15 0.09 0.02 3164 84.9 1.59 9.51 0.19*France, Manche 8 0.5 0.20 0.05 0.02 995 66.5 2.33 7.25 0.26*France, Somme 19 1.1 0.25 0.13 0.03 1602 82.1 2.18 9.06 0.25 France, Tarn 8 0.4 0.17 0.03 0.02 1028 70.1 2.43 7.77 0.27 Germany, Saarland 29 0.6 0.12 0.08 0.02 3581 71.4 1.32 7.99 0.15 Iceland 9 1.1 0.39 0.14 0.06 622 76.1 3.21 8.35 0.39 Ireland 54 0.6 0.08 0.08 0.01 6277 69.6 0.92 7.81 0.11 Italy, Biella Province 4 1.6 0.84 0.11 0.06 491 86.1 4.35 9.67 0.49 Italy, Ferrara Province 10 0.5 0.18 0.07 0.03 1442 78.4 2.31 8.88 0.26*Italy, Florence 41 0.8 0.12 0.09 0.02 4088 72.3 1.25 8.06 0.14 Italy, Genoa Province 48 1.2 0.19 0.13 0.02 3067 76.9 1.59 8.66 0.18 Italy, Liguria Italy, Macerata Province 10 0.5 0.18 0.06 0.03 862 64.3 2.46 7.08 0.27 Italy, Modena Province 15 0.5 0.14 0.06 0.02 2189 77.3 1.81 8.84 0.21 Italy, North East 39 0.7 0.12 0.09 0.02 4794 79.2 1.28 8.87 0.15

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rates and standard errorsBreast (C50) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 18 1.0 0.25 0.13 0.03 1577 82.7 2.36 9.28 0.26*Italy, Ragusa Province 8 0.7 0.26 0.07 0.03 584 51.0 2.25 5.81 0.26 Italy, Romagna 33 0.7 0.13 0.10 0.02 3256 71.1 1.37 8.14 0.16 Italy, Sassari 5 0.3 0.15 0.04 0.02 1134 63.7 1.98 7.08 0.23 Italy, Torino 29 0.7 0.13 0.08 0.02 3611 79.2 1.44 8.86 0.16 Italy, Umbria 21 0.9 0.21 0.12 0.03 1517 65.4 1.87 7.28 0.21 Italy, Varese Province 18 0.5 0.12 0.07 0.02 2823 77.0 1.57 8.58 0.18 Italy, Venetian Region 46 0.8 0.12 0.08 0.01 5156 74.7 1.14 8.30 0.13*Latvia 28 0.4 0.07 0.04 0.01 4018 39.3 0.66 4.36 0.07 Lithuania 32 0.3 0.05 0.04 0.01 5258 37.7 0.54 4.25 0.06 Malta 11 1.0 0.29 0.09 0.04 919 68.1 2.31 7.63 0.29 The Netherlands 268 0.5 0.03 0.06 0.00 49570 85.6 0.41 9.57 0.05 The Netherlands, Eindhoven 15 0.5 0.12 0.06 0.02 2976 85.3 1.62 9.55 0.20 The Netherlands, Maastricht 13 0.4 0.12 0.04 0.01 2663 77.5 1.57 8.56 0.19 Norway 65 0.4 0.05 0.05 0.01 10783 63.2 0.67 7.05 0.08*Poland, Cracow 15 0.7 0.17 0.10 0.03 1496 50.4 1.34 5.71 0.16*Poland, Kielce 8 0.3 0.10 0.03 0.01 1084 33.5 1.07 3.65 0.12*Poland, Lower Silesia 26 0.3 0.07 0.03 0.01 3976 38.0 0.62 4.24 0.07 Poland, Warsaw City 28 0.5 0.09 0.05 0.01 3952 53.7 0.90 6.00 0.11*Portugal, Vila Nova de Gaia 2 0.3 0.19 0.05 0.04 420 47.1 2.37 5.36 0.30*Russia, St Petersburg 56 0.5 0.07 0.05 0.01 7992 46.1 0.55 5.19 0.06 Slovakia 62 0.4 0.05 0.04 0.01 7824 42.4 0.50 4.77 0.06 Slovenia 45 0.7 0.11 0.10 0.02 3997 51.3 0.85 5.74 0.10 Spain, Albacete 7 0.6 0.23 0.07 0.03 639 53.0 2.28 5.77 0.25 Spain, Asturias 26 0.7 0.14 0.09 0.02 1895 50.6 1.29 5.53 0.14*Spain, Canary Islands 15 0.6 0.15 0.04 0.02 1494 58.4 1.56 6.60 0.20 Spain, Cuenca 3 0.2 0.14 0.05 0.03 375 47.3 2.80 5.16 0.30 Spain, Girona 9 0.6 0.20 0.06 0.03 782 62.5 2.44 7.01 0.29 Spain, Granada 6 0.2 0.10 0.03 0.01 1255 45.8 1.38 4.98 0.15 Spain, Mallorca 8 0.5 0.18 0.05 0.02 1049 55.8 1.86 6.15 0.22 Spain, Murcia 13 0.5 0.13 0.05 0.02 1468 51.9 1.44 5.75 0.17 Spain, Navarra 9 0.5 0.17 0.07 0.02 1227 61.2 1.89 6.60 0.21 Spain, Tarragona 11 0.5 0.15 0.07 0.02 1342 59.3 1.77 6.52 0.20*Spain, Zaragoza 27 0.8 0.17 0.10 0.02 1763 51.8 1.36 5.65 0.15 Sweden 180 0.4 0.03 0.05 0.00 28371 76.5 0.50 8.66 0.06 Switzerland, Basel 6 0.4 0.15 0.03 0.02 1485 72.9 2.06 8.37 0.25 Switzerland, Geneva 8 0.5 0.17 0.06 0.03 1516 97.0 2.60 10.96 0.33 Switzerland, Graubunden and Glarus 2 0.2 0.15 0.05 0.04 595 67.3 3.00 7.54 0.36 Switzerland, Neuchatel 3 0.6 0.35 0.07 0.05 456 80.4 4.08 9.01 0.49 Switzerland, St Gall-Appenzell 10 0.5 0.16 0.04 0.02 1258 60.9 1.89 6.77 0.23*Switzerland, Ticino 4 0.7 0.37 0.12 0.07 407 72.3 3.92 8.09 0.47 Switzerland, Valais 14 1.6 0.44 0.20 0.06 751 77.1 2.96 8.44 0.35 Switzerland, Vaud 11 0.5 0.16 0.06 0.03 1560 79.3 2.15 8.98 0.26 Switzerland, Zurich 15 0.4 0.11 0.04 0.01 3004 74.5 1.45 8.41 0.18*UK, England 1036 0.5 0.02 0.06 0.00 150322 74.4 0.21 8.23 0.02 UK, England, East Anglia 43 0.5 0.08 0.05 0.01 6985 79.7 1.05 8.83 0.12 UK, England, Merseyside and Cheshire 61 0.6 0.08 0.08 0.01 7244 74.0 0.95 8.14 0.11 UK, England, North Western 67 0.4 0.05 0.05 0.01 12151 76.3 0.76 8.45 0.09 UK, England, Oxford Region 51 0.5 0.08 0.06 0.01 8268 85.2 1.00 9.49 0.12*UK, England, South Thames 140 0.5 0.05 0.06 0.01 22336 79.4 0.59 8.82 0.07*UK, England, South and Western Regions 205 0.7 0.05 0.08 0.01 24133 83.5 0.60 9.23 0.07 UK, England, Trent 100 0.5 0.05 0.06 0.01 13839 70.8 0.66 7.76 0.08*UK, England, West Midlands Region 115 0.6 0.05 0.06 0.01 15801 73.9 0.64 8.12 0.08 UK, England, Yorkshire 68 0.4 0.05 0.04 0.01 10356 70.5 0.75 7.78 0.09 UK, Northern Ireland 35 0.6 0.11 0.06 0.02 4196 73.5 1.21 8.07 0.14 UK, Scotland 78 0.4 0.05 0.04 0.01 15698 75.6 0.65 8.32 0.08*Yugoslavia, Vojvodina 50 0.6 0.09 0.08 0.01 3971 49.2 0.81 5.52 0.09

Oceania Australia, Capital Territory 4 0.5 0.23 0.02 0.01 682 81.8 3.23 9.42 0.43 Australia, New South Wales 121 0.6 0.06 0.07 0.01 16784 80.7 0.65 9.14 0.08 Australia, Northern Territory 2 0.5 0.34 0.05 0.04 207 59.3 4.52 6.51 0.60 Australia, Queensland 66 0.6 0.08 0.07 0.01 8152 75.5 0.87 8.42 0.11 Australia, South 32 0.6 0.11 0.05 0.01 4244 80.8 1.31 9.09 0.16 Australia, Tasmania 13 0.8 0.23 0.11 0.04 1247 78.2 2.32 8.72 0.28 Australia, Victoria 79 0.5 0.06 0.06 0.01 12529 81.4 0.76 9.26 0.09 Australia, Western 32 0.6 0.10 0.08 0.02 4374 81.1 1.27 9.22 0.16 New Zealand 64 0.6 0.07 0.06 0.01 9116 75.8 0.84 8.37 0.10 USA, Hawaii: White 8 0.8 0.31 0.10 0.04 985 101.1 3.37 11.58 0.43 USA, Hawaii: Chinese 2 0.8 0.61 0.06 0.06 217 79.3 5.71 9.58 0.74 USA, Hawaii: Filipino 3 0.6 0.34 0.07 0.05 325 61.8 3.46 7.06 0.43 USA, Hawaii: Hawaiian 4 0.8 0.44 0.09 0.05 493 101.3 4.64 12.31 0.63 USA, Hawaii: Japanese 6 0.5 0.22 0.04 0.02 1068 83.7 2.85 9.85 0.33

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rates and standard errorsVulva (C51)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers *France, La Reunion 1 0.2 0.19 0.03 0.03*The Gambia 1 0.2 0.24 - - *Mali, Bamako 1 0.2 0.21 0.02 0.02*Uganda, Kyadondo County 5 0.6 0.39 0.10 0.07*Zimbabwe, Harare: African 13 1.6 0.53 0.24 0.09

America, Central and South*Argentina, Bahia Blanca 31 1.8 0.34 0.22 0.06*Argentina, Concordia 11 2.5 0.78 0.22 0.10*Brazil, Campinas 33 1.6 0.28 0.17 0.04*Brazil, Goiania 25 1.5 0.31 0.11 0.03 Colombia, Cali 41 1.2 0.19 0.13 0.03*Costa Rica 22 0.8 0.18 0.09 0.03*Cuba, Villa Clara 12 0.8 0.24 0.13 0.04*Ecuador, Quito 13 0.5 0.14 0.03 0.01*France, Martinique 3 0.1 0.06 - - *USA, Puerto Rico 72 1.3 0.17 0.14 0.02*Uruguay, Montevideo 62 1.5 0.21 0.18 0.03

America, North Canada 1518 1.3 0.03 0.13 0.00 Canada, Alberta 124 1.3 0.13 0.15 0.02 Canada, British Columbia 211 1.3 0.10 0.13 0.01 Canada, Manitoba 56 1.0 0.15 0.12 0.02 Canada, New Brunswick 41 1.3 0.23 0.14 0.03 Canada, Newfoundland 27 1.4 0.29 0.18 0.04 Canada, Northwest Territories 0 - - - - Canada, Nova Scotia 64 1.6 0.22 0.14 0.02 Canada, Ontario 580 1.3 0.06 0.13 0.01 Canada, Prince Edward Island 12 2.0 0.69 0.17 0.07+Canada, Quebec 345 1.1 0.06 0.11 0.01 Canada, Saskatchewan 56 1.1 0.18 0.12 0.02 Canada, Yukon 2 1.1 0.78 0.10 0.07 USA, California, Los Angeles: Non-Hispanic White 281 1.5 0.11 0.16 0.01 USA, California, Los Angeles: Hispanic White 61 1.2 0.16 0.13 0.02 USA, California, Los Angeles: Black 42 1.3 0.21 0.15 0.03 USA, California, Los Angeles: Chinese 5 0.4 0.18 0.05 0.03 USA, California, Los Angeles: Filipino 2 0.2 0.13 0.03 0.03 USA, California, Los Angeles: Japanese 3 0.4 0.24 0.01 0.01 USA, California, Los Angeles: Korean 1 0.2 0.19 0.01 0.01 USA, California, San Francisco: Non-Hispanic White 119 1.1 0.12 0.13 0.02 USA, California, San Francisco: Hispanic White 14 0.9 0.26 0.09 0.03 USA, California, San Francisco: Black 22 1.3 0.30 0.13 0.04 USA, Connecticut: White 225 1.4 0.11 0.15 0.01 USA, Connecticut: Black 17 2.2 0.53 0.29 0.08 USA, Georgia, Atlanta: White 94 1.6 0.17 0.16 0.02 USA, Georgia, Atlanta: Black 27 1.2 0.24 0.13 0.03 USA, Iowa 241 1.6 0.12 0.17 0.02 USA, Louisiana, Central Region: White 19 2.0 0.50 0.23 0.07 USA, Louisiana, Central Region: Black 2 0.8 0.60 0.17 0.12 USA, Louisiana, New Orleans: White 38 1.2 0.23 0.12 0.03 USA, Louisiana, New Orleans: Black 31 2.7 0.50 0.30 0.06 USA, Michigan, Detroit: White 225 1.5 0.12 0.16 0.02 USA, Michigan, Detroit: Black 44 1.3 0.20 0.15 0.03 USA, New Jersey: White 476 1.4 0.07 0.15 0.01 USA, New Jersey: Black 46 1.3 0.20 0.14 0.03 USA, New Mexico: Non-Hispanic White 46 1.2 0.19 0.12 0.02 USA, New Mexico: Hispanic White 16 0.9 0.22 0.10 0.03 USA, New Mexico: American Indian 3 1.1 0.65 0.23 0.13 USA, New York State: White 1095 1.5 0.05 0.16 0.01 USA, New York State: Black 96 0.9 0.10 0.10 0.01 USA, Utah 64 1.1 0.14 0.09 0.02 USA, Washington, Seattle 222 1.4 0.11 0.14 0.01 USA, SEER: White 1271 1.4 0.04 0.15 0.01 USA, SEER: Black 113 1.3 0.13 0.15 0.02

Asia*China, Beijing 35 0.4 0.07 0.04 0.01

+*China, Changle *China, Cixian *China, Hong Kong *China, Jiashan 3 0.2 0.13 0.05 0.03

+*China, Qidong County 0 - - - - +*China, Shanghai 54 0.2 0.03 0.02 0.00

*China, Taiwan 44 0.4 0.06 0.05 0.01*China, Tianjin 26 0.2 0.04 0.02 0.01+China, Wuhan 9 0.1 0.03 0.01 0.00

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rates and standard errorsVulva (C51) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 33 0.6 0.11 0.06 0.01*India, Bangalore 38 0.5 0.09 0.06 0.01 India, Chennai (Madras) 43 0.6 0.09 0.08 0.01*India, Delhi 45 0.5 0.08 0.07 0.01*India, Karunagappally 0 - - - - India, Mumbai (Bombay) 70 0.4 0.06 0.05 0.01*India, Nagpur 6 0.4 0.15 0.06 0.03*India, Poona 15 0.4 0.10 0.04 0.01*India, Trivandrum 5 0.2 0.09 0.02 0.01 Israel: Jews 194 1.1 0.08 0.12 0.01 Israel: Jews born in Israel 16 0.7 0.21 0.10 0.04 Israel: Jews born in Europe or America 113 1.1 0.14 0.12 0.02 Israel: Jews born in Africa or Asia 65 1.3 0.17 0.15 0.02 Israel: Non-Jews 4 0.3 0.15 0.03 0.02 Japan, Hiroshima 13 0.3 0.08 0.03 0.01*Japan, Miyagi Prefecture 33 0.3 0.05 0.03 0.01*Japan, Nagasaki Prefecture 34 0.3 0.07 0.03 0.01*Japan, Osaka Prefecture 99 0.2 0.02 0.02 0.00*Japan, Saga Prefecture 17 0.3 0.08 0.04 0.01*Japan, Yamagata Prefecture 21 0.2 0.04 0.02 0.01*Korea, Busan 5 0.1 0.06 0.02 0.01*Korea, Daegu 9 0.4 0.14 0.04 0.02*Korea, Kangwha County 0 - - - - *Korea, Seoul 60 0.3 0.03 0.03 0.01*Kuwait: Kuwaitis 1 0.1 0.13 0.02 0.02*Kuwait: Non-Kuwaitis 1 0.1 0.09 0.01 0.01*Oman: Omani 3 0.2 0.12 0.03 0.02*Pakistan, South Karachi 5 0.4 0.19 0.04 0.02*Philippines, Manila 36 0.5 0.09 0.06 0.01*Philippines, Rizal 30 0.4 0.08 0.05 0.01 Singapore: Chinese 38 0.6 0.09 0.07 0.01 Singapore: Indian 0 - - - - Singapore: Malay 2 0.3 0.19 0.03 0.03*Thailand, Bangkok 35 0.4 0.07 0.04 0.01*Thailand, Chiang Mai 31 0.9 0.16 0.11 0.02*Thailand, Khon Kaen 15 0.4 0.10 0.05 0.02*Thailand, Lampang 14 0.7 0.18 0.08 0.02*Thailand, Songkhla 9 0.4 0.14 0.05 0.02*Viet Nam, Hanoi 53 1.0 0.15 - - *Viet Nam, Ho Chi Minh City 35 0.4 0.07 0.06 0.01

Europe Austria, Tyrol 42 1.3 0.22 0.16 0.03 Austria, Vorarlberg 22 1.5 0.34 0.15 0.04

+*Belarus 288 0.6 0.03 0.07 0.00*Belgium, Flanders, (excl. Limburg) 115 1.0 0.11 0.10 0.01*Belgium, Limburg 16 0.9 0.23 0.07 0.03*Croatia 279 1.2 0.08 0.15 0.01 Czech Republic 829 1.7 0.06 0.19 0.01 Denmark 419 1.5 0.08 0.16 0.01 Estonia 134 1.6 0.15 0.20 0.02 Finland 340 1.3 0.08 0.14 0.01 France, Bas-Rhin 49 0.9 0.15 0.09 0.02*France, Calvados 29 0.9 0.20 0.10 0.02 France, Cote d’Or 20 0.6 0.18 0.05 0.02 France, Doubs 32 1.2 0.25 0.11 0.03 France, Haut-Rhin 45 1.2 0.20 0.12 0.03*France, Herault 46 0.9 0.16 0.10 0.02 France, Isere 34 0.6 0.13 0.07 0.02*France, Manche 18 0.7 0.19 0.10 0.03*France, Somme 23 0.9 0.20 0.11 0.03 France, Tarn 18 0.6 0.17 0.08 0.03 Germany, Saarland 89 1.2 0.15 0.11 0.02 Iceland 14 1.3 0.39 0.16 0.06 Ireland 122 1.0 0.10 0.11 0.01 Italy, Biella Province 13 1.7 0.57 0.17 0.07 Italy, Ferrara Province 55 1.9 0.31 0.21 0.04*Italy, Florence 133 1.4 0.14 0.15 0.02 Italy, Genoa Province 72 1.0 0.13 0.09 0.02 Italy, Liguria Italy, Macerata Province 30 1.1 0.24 0.12 0.04 Italy, Modena Province 48 1.0 0.17 0.10 0.02 Italy, North East 154 1.5 0.15 0.15 0.02

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rates and standard errorsVulva (C51) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 38 1.0 0.20 0.12 0.03*Italy, Ragusa Province 17 1.2 0.30 0.13 0.04 Italy, Romagna 118 1.6 0.18 0.17 0.02 Italy, Sassari 21 0.9 0.21 0.10 0.03 Italy, Torino 79 1.1 0.14 0.13 0.02 Italy, Umbria 61 1.5 0.23 0.16 0.03 Italy, Varese Province 79 1.5 0.19 0.18 0.03 Italy, Venetian Region 133 1.2 0.13 0.12 0.02*Latvia 147 1.1 0.10 0.12 0.01 Lithuania 166 0.9 0.07 0.10 0.01 Malta 32 2.0 0.38 0.25 0.06 The Netherlands 1061 1.4 0.05 0.15 0.01 The Netherlands, Eindhoven 52 1.3 0.19 0.13 0.02 The Netherlands, Maastricht 44 1.1 0.18 0.12 0.02 Norway 371 1.7 0.10 0.18 0.01*Poland, Cracow 43 1.1 0.19 0.11 0.02*Poland, Kielce 54 1.3 0.19 0.17 0.03*Poland, Lower Silesia 159 1.3 0.11 0.15 0.01 Poland, Warsaw City 121 1.4 0.14 0.15 0.02*Portugal, Vila Nova de Gaia 19 1.7 0.41 0.20 0.07*Russia, St Petersburg 268 1.2 0.08 0.13 0.01 Slovakia 297 1.3 0.08 0.17 0.01 Slovenia 151 1.6 0.14 0.18 0.02 Spain, Albacete 24 1.1 0.26 0.13 0.04 Spain, Asturias 76 1.3 0.17 0.14 0.02*Spain, Canary Islands 36 1.1 0.20 0.12 0.03 Spain, Cuenca 20 1.0 0.26 0.12 0.04 Spain, Girona 26 1.2 0.25 0.15 0.04 Spain, Granada 40 1.0 0.17 0.12 0.02 Spain, Mallorca 44 1.6 0.27 0.18 0.04 Spain, Murcia 49 1.2 0.18 0.14 0.03 Spain, Navarra 46 1.5 0.25 0.15 0.03 Spain, Tarragona 48 1.2 0.20 0.11 0.03*Spain, Zaragoza 89 1.7 0.21 0.18 0.03 Sweden 774 1.4 0.06 0.15 0.01 Switzerland, Basel 34 1.0 0.21 0.10 0.03 Switzerland, Geneva 27 1.1 0.25 0.09 0.03 Switzerland, Graubunden and Glarus 15 1.3 0.40 0.11 0.04 Switzerland, Neuchatel 7 0.6 0.30 0.02 0.02 Switzerland, St Gall-Appenzell 41 1.4 0.26 0.10 0.03*Switzerland, Ticino 13 1.7 0.57 0.16 0.07 Switzerland, Valais 12 0.9 0.29 0.12 0.04 Switzerland, Vaud 44 1.7 0.30 0.20 0.04 Switzerland, Zurich 57 1.0 0.16 0.12 0.02*UK, England 4016 1.3 0.03 0.14 0.00 UK, England, East Anglia 193 1.4 0.12 0.15 0.02 UK, England, Merseyside and Cheshire 212 1.3 0.11 0.13 0.01 UK, England, North Western 390 1.7 0.10 0.17 0.01 UK, England, Oxford Region 179 1.3 0.11 0.12 0.01*UK, England, South Thames 461 1.0 0.06 0.10 0.01*UK, England, South and Western Regions 633 1.4 0.07 0.15 0.01 UK, England, Trent 456 1.6 0.09 0.17 0.01*UK, England, West Midlands Region 475 1.6 0.09 0.18 0.01 UK, England, Yorkshire 326 1.5 0.10 0.15 0.01 UK, Northern Ireland 118 1.5 0.16 0.15 0.02 UK, Scotland 451 1.6 0.09 0.18 0.01*Yugoslavia, Vojvodina 158 1.7 0.14 0.20 0.02

Oceania Australia, Capital Territory 11 1.3 0.39 0.14 0.05 Australia, New South Wales 351 1.4 0.08 0.15 0.01 Australia, Northern Territory 14 4.9 1.44 0.76 0.27 Australia, Queensland 186 1.4 0.11 0.14 0.01 Australia, South 96 1.4 0.16 0.14 0.02 Australia, Tasmania 27 1.3 0.29 0.13 0.03 Australia, Victoria 253 1.3 0.09 0.15 0.01 Australia, Western 88 1.5 0.17 0.17 0.02 New Zealand 203 1.4 0.11 0.15 0.01 USA, Hawaii: White 21 2.0 0.46 0.21 0.06 USA, Hawaii: Chinese 3 0.5 0.28 - - USA, Hawaii: Filipino 3 0.5 0.30 0.02 0.02 USA, Hawaii: Hawaiian 4 0.8 0.40 0.07 0.05 USA, Hawaii: Japanese 6 0.3 0.12 0.02 0.02

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rates and standard errorsVagina (C52)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers *France, La Reunion 4 0.6 0.33 0.07 0.04*The Gambia 2 0.2 0.13 - - *Mali, Bamako 1 0.1 0.06 0.00 0.00*Uganda, Kyadondo County 8 0.5 0.23 0.04 0.02*Zimbabwe, Harare: African 4 0.7 0.39 0.15 0.09

America, Central and South*Argentina, Bahia Blanca 11 0.8 0.26 0.06 0.03*Argentina, Concordia 3 0.6 0.37 0.05 0.05*Brazil, Campinas 5 0.3 0.12 0.04 0.02*Brazil, Goiania 22 1.4 0.31 0.18 0.05 Colombia, Cali 17 0.5 0.13 0.05 0.02*Costa Rica 13 0.5 0.15 0.06 0.02*Cuba, Villa Clara 12 0.6 0.19 0.08 0.03*Ecuador, Quito 11 0.5 0.15 0.07 0.02*France, Martinique 14 1.0 0.29 0.14 0.04*USA, Puerto Rico 32 0.7 0.12 0.06 0.01*Uruguay, Montevideo 12 0.3 0.11 0.03 0.01

America, North Canada 541 0.5 0.02 0.05 0.00 Canada, Alberta 44 0.5 0.08 0.05 0.01 Canada, British Columbia 62 0.4 0.06 0.04 0.01 Canada, Manitoba 12 0.3 0.09 0.03 0.01 Canada, New Brunswick 17 0.6 0.15 0.06 0.02 Canada, Newfoundland 12 0.6 0.18 0.07 0.03 Canada, Northwest Territories 1 0.4 0.42 0.05 0.05 Canada, Nova Scotia 15 0.4 0.13 0.05 0.02 Canada, Ontario 241 0.6 0.04 0.06 0.00 Canada, Prince Edward Island 5 0.4 0.21 0.04 0.04+Canada, Quebec 122 0.4 0.04 0.05 0.01 Canada, Saskatchewan 11 0.2 0.09 0.02 0.01 Canada, Yukon 1 0.3 0.26 0.02 0.02 USA, California, Los Angeles: Non-Hispanic White 98 0.5 0.07 0.06 0.01 USA, California, Los Angeles: Hispanic White 34 0.7 0.12 0.08 0.02 USA, California, Los Angeles: Black 23 0.6 0.13 0.05 0.02 USA, California, Los Angeles: Chinese 7 0.9 0.38 0.09 0.04 USA, California, Los Angeles: Filipino 2 0.3 0.23 - - USA, California, Los Angeles: Japanese 1 0.2 0.16 0.01 0.01 USA, California, Los Angeles: Korean 2 0.4 0.28 0.06 0.04 USA, California, San Francisco: Non-Hispanic White 42 0.4 0.07 0.04 0.01 USA, California, San Francisco: Hispanic White 7 0.6 0.23 0.07 0.03 USA, California, San Francisco: Black 11 0.7 0.22 0.07 0.03 USA, Connecticut: White 61 0.4 0.07 0.04 0.01 USA, Connecticut: Black 5 0.6 0.28 0.07 0.03 USA, Georgia, Atlanta: White 23 0.4 0.09 0.05 0.01 USA, Georgia, Atlanta: Black 16 0.9 0.23 0.10 0.03 USA, Iowa 58 0.4 0.06 0.04 0.01 USA, Louisiana, Central Region: White 6 0.5 0.23 0.06 0.04 USA, Louisiana, Central Region: Black 4 0.6 0.31 - - USA, Louisiana, New Orleans: White 11 0.4 0.12 0.03 0.01 USA, Louisiana, New Orleans: Black 10 0.9 0.30 0.09 0.03 USA, Michigan, Detroit: White 62 0.4 0.06 0.05 0.01 USA, Michigan, Detroit: Black 32 0.8 0.16 0.08 0.02 USA, New Jersey: White 137 0.4 0.04 0.05 0.01 USA, New Jersey: Black 30 0.8 0.16 0.09 0.02 USA, New Mexico: Non-Hispanic White 20 0.4 0.11 0.05 0.02 USA, New Mexico: Hispanic White 7 0.4 0.15 0.04 0.02 USA, New Mexico: American Indian 0 - - - - USA, New York State: White 274 0.4 0.03 0.04 0.00 USA, New York State: Black 69 0.6 0.08 0.07 0.01 USA, Utah 18 0.3 0.08 0.04 0.01 USA, Washington, Seattle 63 0.4 0.06 0.04 0.01 USA, SEER: White 359 0.4 0.03 0.04 0.00 USA, SEER: Black 65 0.8 0.10 0.08 0.01

Asia*China, Beijing 9 0.1 0.05 0.01 0.00

+*China, Changle *China, Cixian *China, Hong Kong *China, Jiashan 0 - - - -

+*China, Qidong County 0 - - - - +*China, Shanghai 55 0.2 0.03 0.03 0.00

*China, Taiwan 44 0.4 0.06 0.05 0.01*China, Tianjin 14 0.1 0.03 0.01 0.00+China, Wuhan 19 0.2 0.04 0.02 0.01

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rates and standard errorsVagina (C52) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 65 1.1 0.14 0.11 0.02*India, Bangalore 51 0.7 0.10 0.09 0.01 India, Chennai (Madras) 66 0.9 0.11 0.10 0.01*India, Delhi 58 0.5 0.08 0.06 0.01*India, Karunagappally 4 0.5 0.24 0.08 0.04 India, Mumbai (Bombay) 105 0.7 0.07 0.08 0.01*India, Nagpur 11 0.6 0.18 0.08 0.03*India, Poona 53 1.4 0.20 0.17 0.03*India, Trivandrum 8 0.3 0.11 0.03 0.01 Israel: Jews 60 0.4 0.06 0.04 0.01 Israel: Jews born in Israel 8 0.2 0.11 0.03 0.02 Israel: Jews born in Europe or America 38 0.5 0.10 0.06 0.01 Israel: Jews born in Africa or Asia 14 0.3 0.10 0.04 0.01 Israel: Non-Jews 4 0.3 0.14 0.03 0.02 Japan, Hiroshima 10 0.2 0.08 0.03 0.01*Japan, Miyagi Prefecture 17 0.2 0.04 0.02 0.00*Japan, Nagasaki Prefecture 17 0.2 0.04 0.02 0.01*Japan, Osaka Prefecture 80 0.2 0.03 0.02 0.00*Japan, Saga Prefecture 5 0.1 0.06 0.01 0.01*Japan, Yamagata Prefecture 6 0.1 0.06 0.01 0.00*Korea, Busan 13 0.3 0.09 0.03 0.01*Korea, Daegu 14 0.6 0.16 0.06 0.02*Korea, Kangwha County 0 - - - - *Korea, Seoul 50 0.2 0.03 0.02 0.00*Kuwait: Kuwaitis 2 0.3 0.22 0.01 0.01*Kuwait: Non-Kuwaitis 1 0.5 0.48 - - *Oman: Omani 7 0.3 0.13 0.05 0.02*Pakistan, South Karachi 5 0.3 0.16 0.03 0.02*Philippines, Manila 18 0.2 0.06 0.03 0.01*Philippines, Rizal 13 0.2 0.05 0.03 0.01 Singapore: Chinese 29 0.4 0.08 0.06 0.01 Singapore: Indian 1 0.2 0.23 0.03 0.03 Singapore: Malay 2 0.3 0.19 0.03 0.02*Thailand, Bangkok 28 0.4 0.07 0.05 0.01*Thailand, Chiang Mai 11 0.3 0.09 0.03 0.01*Thailand, Khon Kaen 6 0.2 0.08 0.03 0.01*Thailand, Lampang 2 0.1 0.06 0.01 0.01*Thailand, Songkhla 9 0.4 0.15 0.04 0.02*Viet Nam, Hanoi 8 0.2 0.06 - - *Viet Nam, Ho Chi Minh City 16 0.2 0.06 0.02 0.01

Europe Austria, Tyrol 15 0.4 0.13 0.05 0.02 Austria, Vorarlberg 9 0.6 0.21 0.06 0.03

+*Belarus 63 0.1 0.02 0.02 0.00*Belgium, Flanders, (excl. Limburg) 38 0.4 0.08 0.05 0.01*Belgium, Limburg 10 0.7 0.25 0.11 0.04*Croatia 86 0.4 0.05 0.05 0.01 Czech Republic 212 0.5 0.03 0.05 0.00 Denmark 150 0.6 0.06 0.07 0.01 Estonia 38 0.6 0.11 0.06 0.01 Finland 93 0.4 0.05 0.04 0.01 France, Bas-Rhin 25 0.5 0.10 0.04 0.01*France, Calvados 7 0.2 0.07 0.02 0.01 France, Cote d’Or 9 0.2 0.08 0.02 0.01 France, Doubs 15 0.7 0.20 0.07 0.02 France, Haut-Rhin 19 0.5 0.13 0.06 0.02*France, Herault 16 0.3 0.08 0.03 0.01 France, Isere 16 0.2 0.07 0.02 0.01*France, Manche 3 0.1 0.07 0.01 0.01*France, Somme 17 0.6 0.17 0.05 0.02 France, Tarn 2 0.1 0.07 0.02 0.01 Germany, Saarland 24 0.4 0.10 0.03 0.01 Iceland 5 0.6 0.28 0.06 0.03 Ireland 34 0.3 0.06 0.03 0.01 Italy, Biella Province 2 0.1 0.09 - - Italy, Ferrara Province 10 0.5 0.20 0.05 0.02*Italy, Florence 21 0.2 0.06 0.04 0.01 Italy, Genoa Province 14 0.2 0.05 0.02 0.01 Italy, Liguria Italy, Macerata Province 10 0.5 0.20 0.05 0.02 Italy, Modena Province 18 0.4 0.11 0.05 0.02 Italy, North East 41 0.5 0.09 0.05 0.01

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rates and standard errorsVagina (C52) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 5 0.2 0.11 0.02 0.01*Italy, Ragusa Province 3 0.3 0.16 0.03 0.02 Italy, Romagna 22 0.4 0.09 0.04 0.01 Italy, Sassari 3 0.1 0.08 0.01 0.01 Italy, Torino 21 0.3 0.08 0.03 0.01 Italy, Umbria 12 0.4 0.13 0.04 0.02 Italy, Varese Province 14 0.3 0.09 0.04 0.01 Italy, Venetian Region 37 0.4 0.08 0.05 0.01*Latvia 59 0.4 0.06 0.04 0.01 Lithuania 57 0.3 0.05 0.03 0.01 Malta 6 0.3 0.15 0.02 0.01 The Netherlands 209 0.3 0.02 0.03 0.00 The Netherlands, Eindhoven 8 0.2 0.07 0.02 0.01 The Netherlands, Maastricht 9 0.3 0.09 0.03 0.01 Norway 99 0.5 0.05 0.05 0.01*Poland, Cracow 12 0.4 0.11 0.04 0.01*Poland, Kielce 5 0.1 0.05 0.02 0.01*Poland, Lower Silesia 51 0.4 0.06 0.05 0.01 Poland, Warsaw City 33 0.4 0.07 0.04 0.01*Portugal, Vila Nova de Gaia 10 1.4 0.52 0.15 0.05*Russia, St Petersburg 98 0.5 0.06 0.05 0.01 Slovakia 92 0.5 0.05 0.06 0.01 Slovenia 41 0.5 0.09 0.04 0.01 Spain, Albacete 5 0.4 0.27 0.03 0.02 Spain, Asturias 16 0.3 0.10 0.04 0.01*Spain, Canary Islands 7 0.2 0.10 0.03 0.01 Spain, Cuenca 3 0.3 0.18 0.03 0.02 Spain, Girona 6 0.4 0.19 0.06 0.03 Spain, Granada 4 0.1 0.04 0.00 0.00 Spain, Mallorca 7 0.4 0.15 0.04 0.02 Spain, Murcia 6 0.2 0.08 0.03 0.01 Spain, Navarra 5 0.2 0.10 0.02 0.01 Spain, Tarragona 8 0.3 0.11 0.04 0.02*Spain, Zaragoza 8 0.3 0.10 0.02 0.01 Sweden 207 0.4 0.03 0.05 0.00 Switzerland, Basel 6 0.1 0.06 0.01 0.01 Switzerland, Geneva 7 0.2 0.11 0.01 0.01 Switzerland, Graubunden and Glarus 4 0.4 0.20 0.03 0.03 Switzerland, Neuchatel 2 0.2 0.13 0.03 0.03 Switzerland, St Gall-Appenzell 16 0.7 0.22 0.07 0.02*Switzerland, Ticino 1 0.2 0.23 0.02 0.02 Switzerland, Valais 3 0.3 0.19 0.05 0.03 Switzerland, Vaud 13 0.5 0.17 0.06 0.02 Switzerland, Zurich 20 0.4 0.10 0.04 0.01*UK, England 898 0.4 0.01 0.04 0.00 UK, England, East Anglia 34 0.3 0.06 0.03 0.01 UK, England, Merseyside and Cheshire 63 0.5 0.08 0.05 0.01 UK, England, North Western 93 0.5 0.06 0.05 0.01 UK, England, Oxford Region 33 0.3 0.06 0.03 0.01*UK, England, South Thames 126 0.4 0.04 0.04 0.00*UK, England, South and Western Regions 142 0.4 0.04 0.05 0.01 UK, England, Trent 85 0.3 0.04 0.04 0.01*UK, England, West Midlands Region 95 0.4 0.04 0.04 0.01 UK, England, Yorkshire 66 0.4 0.06 0.04 0.01 UK, Northern Ireland 54 0.8 0.12 0.10 0.02 UK, Scotland 124 0.5 0.05 0.05 0.01*Yugoslavia, Vojvodina 57 0.5 0.07 0.07 0.01

Oceania Australia, Capital Territory 1 0.1 0.12 0.03 0.03 Australia, New South Wales 99 0.4 0.05 0.04 0.01 Australia, Northern Territory 2 0.6 0.48 0.02 0.02 Australia, Queensland 63 0.6 0.07 0.07 0.01 Australia, South 21 0.3 0.07 0.03 0.01 Australia, Tasmania 8 0.3 0.12 0.05 0.02 Australia, Victoria 64 0.4 0.05 0.04 0.01 Australia, Western 30 0.5 0.09 0.05 0.01 New Zealand 64 0.5 0.06 0.05 0.01 USA, Hawaii: White 4 0.4 0.20 0.03 0.02 USA, Hawaii: Chinese 1 0.1 0.12 - - USA, Hawaii: Filipino 4 0.6 0.29 0.08 0.06 USA, Hawaii: Hawaiian 5 1.1 0.51 0.14 0.06 USA, Hawaii: Japanese 6 0.3 0.16 0.04 0.02

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rates and standard errorsCervix uteri (C53)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 506 12.5 0.58 1.36 0.07*France, La Reunion 109 17.7 1.73 2.00 0.22*The Gambia 171 29.8 2.57 - - *Mali, Bamako 182 35.9 2.81 3.76 0.34*Uganda, Kyadondo County 465 41.7 2.29 4.44 0.29*Zimbabwe, Harare: African 613 55.0 2.71 6.82 0.44

America, Central and South*Argentina, Bahia Blanca 166 14.6 1.17 1.41 0.12*Argentina, Concordia 107 30.6 2.99 3.14 0.33*Brazil, Campinas 294 14.1 0.84 1.54 0.11*Brazil, Goiania 646 38.2 1.57 4.42 0.22 Colombia, Cali 1102 29.8 0.95 3.26 0.12*Costa Rica 568 20.1 0.88 2.08 0.11*Cuba, Villa Clara 143 9.6 0.82 0.93 0.09*Ecuador, Quito 675 26.0 1.04 2.87 0.14*France, Martinique 231 19.3 1.31 2.24 0.16*USA, Puerto Rico 351 8.3 0.46 0.87 0.05*Uruguay, Montevideo 476 17.8 0.85 1.79 0.09

America, North Canada 7137 7.3 0.09 0.72 0.01 Canada, Alberta 626 7.3 0.30 0.69 0.03 Canada, British Columbia 813 6.4 0.23 0.63 0.02 Canada, Manitoba 298 8.1 0.50 0.78 0.05 Canada, New Brunswick 169 6.5 0.53 0.63 0.06 Canada, Newfoundland 163 9.3 0.74 0.90 0.08 Canada, Northwest Territories 44 12.8 2.22 1.43 0.32 Canada, Nova Scotia 278 8.8 0.55 0.89 0.06 Canada, Ontario 2912 7.9 0.15 0.78 0.02 Canada, Prince Edward Island 37 8.8 1.51 0.87 0.16+Canada, Quebec 1597 6.3 0.16 0.64 0.02 Canada, Saskatchewan 226 7.2 0.50 0.68 0.05 Canada, Yukon 22 11.2 2.65 1.41 0.46 USA, California, Los Angeles: Non-Hispanic White 920 7.3 0.26 0.72 0.03 USA, California, Los Angeles: Hispanic White 1199 19.5 0.60 2.05 0.08 USA, California, Los Angeles: Black 332 10.4 0.59 1.06 0.07 USA, California, Los Angeles: Chinese 55 5.6 0.79 0.55 0.09 USA, California, Los Angeles: Filipino 89 10.0 1.09 1.13 0.14 USA, California, Los Angeles: Japanese 29 5.1 1.01 0.56 0.11 USA, California, Los Angeles: Korean 83 14.5 1.62 1.56 0.19 USA, California, San Francisco: Non-Hispanic White 443 6.0 0.30 0.57 0.03 USA, California, San Francisco: Hispanic White 166 11.9 0.97 1.25 0.11 USA, California, San Francisco: Black 120 8.0 0.76 0.78 0.08 USA, Connecticut: White 639 6.3 0.27 0.61 0.03 USA, Connecticut: Black 94 11.0 1.16 1.05 0.13 USA, Georgia, Atlanta: White 386 7.6 0.40 0.75 0.04 USA, Georgia, Atlanta: Black 226 9.6 0.68 1.01 0.09 USA, Iowa 654 7.0 0.29 0.66 0.03 USA, Louisiana, Central Region: White 52 7.9 1.14 0.73 0.11 USA, Louisiana, Central Region: Black 39 16.9 2.82 1.63 0.30 USA, Louisiana, New Orleans: White 112 5.5 0.54 0.51 0.05 USA, Louisiana, New Orleans: Black 207 17.5 1.24 1.72 0.14 USA, Michigan, Detroit: White 693 6.9 0.27 0.67 0.03 USA, Michigan, Detroit: Black 365 11.3 0.61 1.14 0.07 USA, New Jersey: White 1930 8.6 0.21 0.84 0.02 USA, New Jersey: Black 512 14.5 0.65 1.45 0.07 USA, New Mexico: Non-Hispanic White 200 7.1 0.54 0.72 0.05 USA, New Mexico: Hispanic White 165 9.5 0.76 0.97 0.09 USA, New Mexico: American Indian 34 9.7 1.72 1.05 0.22 USA, New York State: White 4176 8.6 0.14 0.86 0.01 USA, New York State: Black 1336 13.2 0.37 1.39 0.04 USA, Utah 325 6.4 0.36 0.63 0.04 USA, Washington, Seattle 800 6.8 0.25 0.67 0.03 USA, SEER: White 4372 6.8 0.11 0.66 0.01 USA, SEER: Black 853 10.2 0.36 1.03 0.04

Asia*China, Beijing 209 2.3 0.16 0.30 0.02

+*China, Changle *China, Cixian *China, Hong Kong 2337 12.3 0.27 1.38 0.03*China, Jiashan 14 1.2 0.32 0.12 0.04

+*China, Qidong County 79 2.2 0.26 0.28 0.04+*China, Shanghai 612 2.3 0.10 0.28 0.01

*China, Taiwan 2855 24.9 0.48 2.79 0.06*China, Tianjin 311 2.4 0.14 0.31 0.02+China, Wuhan 433 3.9 0.19 0.48 0.03

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rates and standard errorsCervix uteri (C53) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 799 13.4 0.50 1.63 0.07*India, Bangalore 1765 23.5 0.58 2.71 0.08 India, Chennai (Madras) 2358 30.1 0.63 3.37 0.08*India, Delhi 2983 25.8 0.50 2.90 0.07*India, Karunagappally 141 15.0 1.28 1.88 0.18 India, Mumbai (Bombay) 2848 17.1 0.34 2.00 0.05*India, Nagpur 416 23.2 1.18 2.61 0.15*India, Poona 986 22.5 0.75 2.57 0.10*India, Trivandrum 271 10.9 0.67 1.28 0.09 Israel: Jews 730 5.6 0.21 0.57 0.02 Israel: Jews born in Israel 229 4.9 0.41 0.46 0.05 Israel: Jews born in Europe or America 298 5.5 0.38 0.56 0.04 Israel: Jews born in Africa or Asia 203 6.3 0.50 0.66 0.05 Israel: Non-Jews 39 2.5 0.41 0.23 0.04 Japan, Hiroshima 461 11.7 0.56 1.22 0.06*Japan, Miyagi Prefecture 497 5.8 0.27 0.60 0.03*Japan, Nagasaki Prefecture 654 10.9 0.47 1.07 0.05*Japan, Osaka Prefecture 2382 7.1 0.15 0.76 0.02*Japan, Saga Prefecture 349 9.8 0.57 0.97 0.06*Japan, Yamagata Prefecture 245 4.7 0.34 0.45 0.03*Korea, Busan 907 21.1 0.72 2.33 0.09*Korea, Daegu 524 19.3 0.86 2.08 0.11*Korea, Kangwha County 37 15.2 2.63 1.50 0.27*Korea, Seoul 5855 22.3 0.30 2.57 0.04*Kuwait: Kuwaitis 34 4.2 0.78 0.44 0.09*Kuwait: Non-Kuwaitis 61 8.3 1.67 1.01 0.28*Oman: Omani 154 7.7 0.64 0.88 0.09*Pakistan, South Karachi 74 6.8 0.82 0.78 0.11*Philippines, Manila 1903 21.9 0.54 2.41 0.07*Philippines, Rizal 1497 17.5 0.49 1.93 0.07 Singapore: Chinese 996 15.0 0.49 1.64 0.06 Singapore: Indian 35 8.2 1.47 1.03 0.21 Singapore: Malay 88 9.9 1.08 1.09 0.13*Thailand, Bangkok 1882 20.9 0.50 2.29 0.06*Thailand, Chiang Mai 974 25.3 0.83 2.67 0.10*Thailand, Khon Kaen 653 16.5 0.66 1.79 0.08*Thailand, Lampang 531 24.2 1.08 2.53 0.12*Thailand, Songkhla 365 16.6 0.88 1.71 0.10*Viet Nam, Hanoi 344 6.7 0.37 - - *Viet Nam, Ho Chi Minh City 2289 28.8 0.62 3.40 0.08

Europe Austria, Tyrol 281 12.9 0.80 1.30 0.08 Austria, Vorarlberg 86 7.8 0.87 0.77 0.09

+*Belarus 4857 13.4 0.20 1.39 0.02*Belgium, Flanders, (excl. Limburg) 623 8.4 0.36 0.83 0.04*Belgium, Limburg 87 7.6 0.85 0.79 0.09*Croatia 2063 12.5 0.29 1.28 0.03 Czech Republic 5708 16.1 0.22 1.61 0.02 Denmark 2351 12.7 0.28 1.27 0.03 Estonia 860 15.1 0.54 1.60 0.06 Finland 811 4.0 0.15 0.41 0.02 France, Bas-Rhin 302 8.6 0.52 0.89 0.06*France, Calvados 188 8.3 0.65 0.85 0.07 France, Cote d’Or 151 7.7 0.68 0.80 0.08 France, Doubs 132 7.8 0.71 0.78 0.08 France, Haut-Rhin 270 11.2 0.71 1.12 0.08*France, Herault 338 11.0 0.63 1.13 0.07 France, Isere 280 7.4 0.47 0.76 0.05*France, Manche 92 6.5 0.74 0.67 0.08*France, Somme 180 9.7 0.76 1.01 0.08 France, Tarn 81 5.7 0.70 0.62 0.08 Germany, Saarland 458 10.8 0.54 1.06 0.05 Iceland 75 9.5 1.12 0.93 0.12 Ireland 693 8.3 0.32 0.83 0.03 Italy, Biella Province 34 6.3 1.23 0.65 0.13 Italy, Ferrara Province 114 7.1 0.73 0.75 0.08*Italy, Florence 315 6.4 0.40 0.64 0.04 Italy, Genoa Province 270 7.8 0.54 0.80 0.06 Italy, Liguria Italy, Macerata Province 53 4.7 0.70 0.46 0.07 Italy, Modena Province 173 6.6 0.55 0.67 0.06 Italy, North East 378 7.3 0.41 0.76 0.04

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rates and standard errorsCervix uteri (C53) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 107 6.0 0.66 0.65 0.07*Italy, Ragusa Province 63 5.4 0.74 0.56 0.08 Italy, Romagna 368 9.1 0.52 0.96 0.05 Italy, Sassari 85 5.4 0.60 0.54 0.06 Italy, Torino 289 6.8 0.44 0.73 0.05 Italy, Umbria 116 5.4 0.55 0.58 0.06 Italy, Varese Province 196 5.8 0.45 0.62 0.05 Italy, Venetian Region 328 5.2 0.31 0.55 0.03*Latvia 897 9.5 0.34 0.99 0.03 Lithuania 1932 14.6 0.35 1.54 0.04 Malta 73 6.1 0.72 0.62 0.08 The Netherlands 3594 6.6 0.11 0.65 0.01 The Netherlands, Eindhoven 223 6.8 0.47 0.70 0.05 The Netherlands, Maastricht 228 6.9 0.48 0.69 0.05 Norway 1777 12.2 0.31 1.21 0.03*Poland, Cracow 550 19.6 0.86 2.08 0.10*Poland, Kielce 485 15.4 0.73 1.65 0.08*Poland, Lower Silesia 1629 15.8 0.40 1.69 0.05 Poland, Warsaw City 1015 14.4 0.47 1.51 0.05*Portugal, Vila Nova de Gaia 119 13.6 1.28 1.48 0.15*Russia, St Petersburg 1427 8.8 0.25 0.92 0.03 Slovakia 2865 16.9 0.32 1.68 0.03 Slovenia 1002 14.7 0.48 1.42 0.05 Spain, Albacete 60 5.4 0.74 0.56 0.08 Spain, Asturias 277 8.1 0.53 0.84 0.06*Spain, Canary Islands 198 7.9 0.58 0.82 0.07 Spain, Cuenca 26 3.4 0.77 0.33 0.08 Spain, Girona 81 7.4 0.87 0.72 0.09 Spain, Granada 162 6.1 0.51 0.61 0.05 Spain, Mallorca 198 12.0 0.89 1.28 0.10 Spain, Murcia 194 7.4 0.56 0.75 0.06 Spain, Navarra 72 3.7 0.47 0.41 0.05 Spain, Tarragona 174 9.0 0.73 0.88 0.07*Spain, Zaragoza 168 5.6 0.47 0.57 0.05 Sweden 2427 7.7 0.17 0.77 0.02 Switzerland, Basel 73 4.1 0.51 0.42 0.05 Switzerland, Geneva 86 5.5 0.62 0.53 0.07 Switzerland, Graubunden and Glarus 73 9.6 1.17 0.96 0.12 Switzerland, Neuchatel 34 6.9 1.25 0.71 0.13 Switzerland, St Gall-Appenzell 155 8.9 0.75 0.87 0.08*Switzerland, Ticino 32 6.4 1.22 0.67 0.13 Switzerland, Valais 45 4.9 0.75 0.49 0.08 Switzerland, Vaud 134 7.0 0.65 0.70 0.07 Switzerland, Zurich 265 7.4 0.48 0.71 0.05*UK, England 14294 8.2 0.07 0.79 0.01 UK, England, East Anglia 547 7.2 0.33 0.68 0.03 UK, England, Merseyside and Cheshire 863 10.3 0.37 1.00 0.04 UK, England, North Western 1611 11.7 0.31 1.13 0.03 UK, England, Oxford Region 558 6.2 0.27 0.58 0.03*UK, England, South Thames 1709 6.9 0.18 0.68 0.02*UK, England, South and Western Regions 1859 7.9 0.20 0.75 0.02 UK, England, Trent 1362 8.2 0.24 0.78 0.02*UK, England, West Midlands Region 1776 10.1 0.25 0.96 0.02 UK, England, Yorkshire 1387 10.8 0.31 1.06 0.03 UK, Northern Ireland 407 7.9 0.41 0.77 0.04 UK, Scotland 1831 10.1 0.25 1.00 0.03*Yugoslavia, Vojvodina 1299 17.3 0.50 1.81 0.05

Oceania Australia, Capital Territory 68 7.6 0.95 0.80 0.11 Australia, New South Wales 1658 8.3 0.21 0.84 0.02 Australia, Northern Territory 57 16.3 2.43 1.87 0.36 Australia, Queensland 941 9.1 0.31 0.90 0.03 Australia, South 303 6.1 0.37 0.61 0.04 Australia, Tasmania 139 9.1 0.80 0.93 0.09 Australia, Victoria 1216 8.1 0.24 0.81 0.03 Australia, Western 443 8.3 0.40 0.85 0.05 New Zealand 1080 9.6 0.30 0.97 0.03 USA, Hawaii: White 62 7.0 0.92 0.67 0.09 USA, Hawaii: Chinese 11 3.8 1.27 0.44 0.16 USA, Hawaii: Filipino 47 9.2 1.36 0.80 0.13 USA, Hawaii: Hawaiian 52 10.2 1.43 1.16 0.18 USA, Hawaii: Japanese 51 4.5 0.71 0.42 0.07

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rates and standard errorsCorpus uteri (C54)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 82 2.2 0.25 0.27 0.04*France, La Reunion 32 5.2 0.94 0.79 0.16*The Gambia 10 2.1 0.70 - - *Mali, Bamako 8 1.7 0.65 0.18 0.08*Uganda, Kyadondo County 29 3.3 0.67 0.36 0.08*Zimbabwe, Harare: African 49 6.3 0.99 0.72 0.14

America, Central and South*Argentina, Bahia Blanca 115 8.2 0.82 1.03 0.12*Argentina, Concordia 37 10.2 1.72 1.11 0.21*Brazil, Campinas 189 9.9 0.73 1.31 0.11*Brazil, Goiania 78 5.3 0.61 0.68 0.09 Colombia, Cali 196 5.9 0.45 0.79 0.07*Costa Rica 127 4.9 0.45 0.53 0.06*Cuba, Villa Clara 96 6.0 0.64 0.75 0.09*Ecuador, Quito 115 5.0 0.47 0.63 0.07*France, Martinique 77 5.7 0.69 0.75 0.10*USA, Puerto Rico 373 8.8 0.47 1.11 0.06*Uruguay, Montevideo 484 13.6 0.67 1.70 0.09

America, North Canada 15226 14.4 0.12 1.81 0.02 Canada, Alberta 1318 16.2 0.47 2.01 0.06 Canada, British Columbia 1951 14.2 0.34 1.79 0.05 Canada, Manitoba 747 17.9 0.72 2.22 0.10 Canada, New Brunswick 340 12.1 0.70 1.55 0.10 Canada, Newfoundland 239 13.6 0.92 1.61 0.12 Canada, Northwest Territories 10 4.0 1.27 0.41 0.14 Canada, Nova Scotia 489 14.1 0.68 1.72 0.09 Canada, Ontario 5928 14.9 0.20 1.87 0.03 Canada, Prince Edward Island 77 14.6 1.84 1.59 0.23+Canada, Quebec 3628 13.3 0.23 1.69 0.03 Canada, Saskatchewan 500 13.6 0.67 1.63 0.09 Canada, Yukon 17 13.6 3.39 1.82 0.50 USA, California, Los Angeles: Non-Hispanic White 3157 20.3 0.41 2.51 0.05 USA, California, Los Angeles: Hispanic White 660 13.3 0.53 1.64 0.08 USA, California, Los Angeles: Black 425 13.5 0.68 1.72 0.10 USA, California, Los Angeles: Chinese 66 7.4 0.94 0.90 0.12 USA, California, Los Angeles: Filipino 120 14.2 1.33 1.65 0.17 USA, California, Los Angeles: Japanese 75 13.2 1.66 1.44 0.19 USA, California, Los Angeles: Korean 20 3.4 0.76 0.36 0.09 USA, California, San Francisco: Non-Hispanic White 1830 20.2 0.53 2.53 0.07 USA, California, San Francisco: Hispanic White 172 13.9 1.10 1.67 0.15 USA, California, San Francisco: Black 163 11.2 0.92 1.39 0.13 USA, Connecticut: White 2446 20.7 0.46 2.58 0.06 USA, Connecticut: Black 110 14.2 1.38 1.75 0.20 USA, Georgia, Atlanta: White 820 16.3 0.59 2.02 0.08 USA, Georgia, Atlanta: Black 214 11.5 0.82 1.53 0.13 USA, Iowa 2242 19.2 0.45 2.39 0.06 USA, Louisiana, Central Region: White 88 10.2 1.18 1.21 0.15 USA, Louisiana, Central Region: Black 21 9.1 2.10 1.17 0.30 USA, Louisiana, New Orleans: White 308 11.7 0.73 1.44 0.10 USA, Louisiana, New Orleans: Black 125 10.8 0.99 1.47 0.16 USA, Michigan, Detroit: White 2192 18.4 0.42 2.24 0.06 USA, Michigan, Detroit: Black 380 11.8 0.63 1.45 0.09 USA, New Jersey: White 5294 20.0 0.30 2.48 0.04 USA, New Jersey: Black 450 13.1 0.63 1.60 0.09 USA, New Mexico: Non-Hispanic White 506 14.0 0.67 1.74 0.09 USA, New Mexico: Hispanic White 184 11.3 0.85 1.38 0.12 USA, New Mexico: American Indian 38 11.5 1.93 1.40 0.27 USA, New York State: White 10367 18.2 0.19 2.27 0.03 USA, New York State: Black 1222 12.3 0.36 1.61 0.05 USA, Utah 898 16.5 0.58 2.05 0.08 USA, Washington, Seattle 2411 18.6 0.41 2.32 0.06 USA, SEER: White 13641 18.4 0.17 2.28 0.02 USA, SEER: Black 919 12.0 0.41 1.52 0.06

Asia*China, Beijing 295 3.8 0.23 0.45 0.03

+*China, Changle *China, Cixian *China, Hong Kong 1286 7.4 0.21 0.83 0.03*China, Jiashan 20 1.9 0.44 0.21 0.05

+*China, Qidong County 44 1.4 0.21 0.15 0.02+*China, Shanghai 932 4.1 0.14 0.49 0.02

*China, Taiwan 477 4.3 0.20 0.47 0.02*China, Tianjin 425 3.5 0.17 0.42 0.02+China, Wuhan 174 1.6 0.12 0.19 0.02

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rates and standard errorsCorpus uteri (C54) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 74 1.4 0.16 0.17 0.02*India, Bangalore 174 2.5 0.19 0.30 0.03 India, Chennai (Madras) 180 2.5 0.19 0.30 0.03*India, Delhi 311 3.1 0.18 0.39 0.03*India, Karunagappally 8 0.9 0.31 0.09 0.03 India, Mumbai (Bombay) 418 2.9 0.15 0.37 0.02*India, Nagpur 47 2.6 0.40 0.27 0.05*India, Poona 93 2.4 0.25 0.28 0.04*India, Trivandrum 56 2.3 0.31 0.27 0.04 Israel: Jews 1647 11.5 0.30 1.48 0.04 Israel: Jews born in Israel 254 11.1 0.79 1.48 0.13 Israel: Jews born in Europe or America 1074 14.1 0.50 1.82 0.06 Israel: Jews born in Africa or Asia 319 8.0 0.60 0.95 0.06 Israel: Non-Jews 79 5.7 0.65 0.70 0.09 Japan, Hiroshima 250 6.3 0.41 0.71 0.05*Japan, Miyagi Prefecture 382 4.2 0.22 0.49 0.03*Japan, Nagasaki Prefecture 293 4.5 0.28 0.51 0.03*Japan, Osaka Prefecture 1118 3.2 0.10 0.37 0.01*Japan, Saga Prefecture 148 4.0 0.36 0.43 0.04*Japan, Yamagata Prefecture 214 3.9 0.29 0.45 0.03*Korea, Busan 64 1.5 0.20 0.18 0.02*Korea, Daegu 55 2.1 0.29 0.23 0.04*Korea, Kangwha County 5 1.9 0.86 0.24 0.11*Korea, Seoul 569 2.2 0.09 0.24 0.01*Kuwait: Kuwaitis 24 3.8 0.81 0.53 0.14*Kuwait: Non-Kuwaitis 15 2.2 0.75 0.26 0.09*Oman: Omani 9 0.5 0.16 0.05 0.02*Pakistan, South Karachi 66 6.4 0.84 0.79 0.12*Philippines, Manila 430 5.7 0.29 0.70 0.04*Philippines, Rizal 446 6.1 0.31 0.74 0.04 Singapore: Chinese 497 7.9 0.36 0.91 0.05 Singapore: Indian 31 6.9 1.30 0.91 0.20 Singapore: Malay 64 7.5 0.97 0.91 0.13*Thailand, Bangkok 340 4.2 0.23 0.51 0.03*Thailand, Chiang Mai 128 3.5 0.32 0.40 0.04*Thailand, Khon Kaen 86 2.2 0.25 0.26 0.03*Thailand, Lampang 58 2.8 0.38 0.33 0.05*Thailand, Songkhla 37 1.9 0.32 0.25 0.04*Viet Nam, Hanoi 75 1.6 0.19 - - *Viet Nam, Ho Chi Minh City 233 3.0 0.20 0.33 0.02

Europe Austria, Tyrol 377 13.8 0.77 1.72 0.11 Austria, Vorarlberg 171 14.2 1.14 1.72 0.15

+*Belarus 5156 13.1 0.19 1.59 0.02*Belgium, Flanders, (excl. Limburg) 1048 10.6 0.36 1.33 0.05*Belgium, Limburg 114 9.4 0.92 1.23 0.13*Croatia 2375 11.9 0.26 1.54 0.03 Czech Republic 7748 18.2 0.22 2.29 0.03 Denmark 3063 13.3 0.26 1.76 0.04 Estonia 913 13.8 0.48 1.73 0.06 Finland 3176 14.2 0.27 1.82 0.04 France, Bas-Rhin 531 13.4 0.62 1.74 0.09*France, Calvados 235 8.9 0.63 1.13 0.08 France, Cote d’Or 240 11.2 0.80 1.40 0.11 France, Doubs 188 9.9 0.77 1.19 0.10 France, Haut-Rhin 423 14.8 0.76 1.94 0.11*France, Herault 373 9.3 0.53 1.21 0.07 France, Isere 370 8.8 0.49 1.12 0.07*France, Manche 129 6.7 0.66 0.90 0.09*France, Somme 243 11.3 0.78 1.43 0.10 France, Tarn 178 10.0 0.85 1.28 0.11 Germany, Saarland 820 14.1 0.54 1.84 0.07 Iceland 108 13.0 1.32 1.55 0.17 Ireland 828 9.1 0.33 1.14 0.04 Italy, Biella Province 99 14.9 1.67 1.90 0.22 Italy, Ferrara Province 285 13.7 0.90 1.73 0.12*Italy, Florence 814 13.1 0.50 1.63 0.06 Italy, Genoa Province 472 10.7 0.55 1.34 0.07 Italy, Liguria Italy, Macerata Province 187 11.4 0.94 1.43 0.12 Italy, Modena Province 374 11.8 0.67 1.50 0.09 Italy, North East 844 13.3 0.51 1.62 0.06

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rates and standard errorsCorpus uteri (C54) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 311 15.0 0.96 1.81 0.12*Italy, Ragusa Province 142 10.8 0.97 1.44 0.13 Italy, Romagna 539 10.4 0.50 1.30 0.06 Italy, Sassari 244 13.1 0.88 1.70 0.12 Italy, Torino 606 11.8 0.52 1.45 0.07 Italy, Umbria 324 12.3 0.76 1.49 0.09 Italy, Varese Province 469 11.7 0.58 1.43 0.08 Italy, Venetian Region 763 10.4 0.41 1.27 0.05*Latvia 1914 17.2 0.41 2.12 0.05 Lithuania 1970 13.2 0.31 1.65 0.04 Malta 215 16.3 1.14 2.04 0.15 The Netherlands 6993 11.2 0.14 1.40 0.02 The Netherlands, Eindhoven 493 13.6 0.63 1.71 0.09 The Netherlands, Maastricht 383 10.1 0.54 1.34 0.08 Norway 2348 13.5 0.31 1.66 0.04*Poland, Cracow 410 13.6 0.69 1.73 0.09*Poland, Kielce 375 11.4 0.62 1.41 0.08*Poland, Lower Silesia 1321 12.4 0.35 1.56 0.05 Poland, Warsaw City 970 12.7 0.42 1.60 0.06*Portugal, Vila Nova de Gaia 68 7.1 0.89 0.87 0.13*Russia, St Petersburg 2383 13.3 0.29 1.65 0.04 Slovakia 3186 17.1 0.31 2.13 0.04 Slovenia 1222 14.8 0.44 1.84 0.06 Spain, Albacete 128 7.6 0.73 1.06 0.11 Spain, Asturias 442 10.8 0.56 1.33 0.07*Spain, Canary Islands 292 10.8 0.65 1.40 0.09 Spain, Cuenca 90 10.4 1.24 1.27 0.14 Spain, Girona 162 11.9 1.03 1.43 0.13 Spain, Granada 323 10.2 0.61 1.31 0.08 Spain, Mallorca 180 9.0 0.72 1.13 0.10 Spain, Murcia 379 12.0 0.65 1.53 0.09 Spain, Navarra 269 12.2 0.81 1.49 0.10 Spain, Tarragona 301 12.4 0.78 1.56 0.10*Spain, Zaragoza 416 10.9 0.58 1.39 0.08 Sweden 5882 14.3 0.21 1.85 0.03 Switzerland, Basel 282 12.4 0.81 1.60 0.11 Switzerland, Geneva 210 12.6 0.91 1.73 0.14 Switzerland, Graubunden and Glarus 113 11.8 1.21 1.61 0.18 Switzerland, Neuchatel 66 10.2 1.38 1.27 0.19 Switzerland, St Gall-Appenzell 281 13.5 0.88 1.73 0.12*Switzerland, Ticino 63 10.4 1.43 1.22 0.18 Switzerland, Valais 128 12.1 1.14 1.45 0.15 Switzerland, Vaud 265 12.0 0.80 1.52 0.11 Switzerland, Zurich 578 13.3 0.59 1.74 0.09*UK, England 19469 8.9 0.07 1.10 0.01 UK, England, East Anglia 1114 11.3 0.38 1.40 0.05 UK, England, Merseyside and Cheshire 915 8.4 0.30 1.04 0.04 UK, England, North Western 1460 8.6 0.25 1.06 0.03 UK, England, Oxford Region 1016 10.1 0.34 1.27 0.05*UK, England, South Thames 2817 9.2 0.19 1.15 0.03*UK, England, South and Western Regions 3110 9.9 0.20 1.25 0.03 UK, England, Trent 1974 9.5 0.23 1.17 0.03*UK, England, West Midlands Region 2302 10.0 0.23 1.23 0.03 UK, England, Yorkshire 1354 8.4 0.25 1.06 0.03 UK, Northern Ireland 523 8.5 0.40 1.05 0.05 UK, Scotland 2000 9.0 0.22 1.10 0.03*Yugoslavia, Vojvodina 1064 12.4 0.39 1.54 0.05

Oceania Australia, Capital Territory 83 10.5 1.19 1.32 0.17 Australia, New South Wales 2094 9.4 0.22 1.17 0.03 Australia, Northern Territory 30 11.5 2.26 1.33 0.31 Australia, Queensland 1175 10.3 0.32 1.25 0.04 Australia, South 666 11.7 0.49 1.40 0.06 Australia, Tasmania 159 9.9 0.82 1.22 0.11 Australia, Victoria 1923 12.0 0.29 1.44 0.04 Australia, Western 499 9.2 0.43 1.14 0.06 New Zealand 1160 9.4 0.29 1.17 0.04 USA, Hawaii: White 149 15.5 1.33 1.91 0.18 USA, Hawaii: Chinese 36 13.8 2.41 1.73 0.31 USA, Hawaii: Filipino 68 13.4 1.64 1.57 0.20 USA, Hawaii: Hawaiian 129 26.6 2.37 3.12 0.31 USA, Hawaii: Japanese 209 17.3 1.33 1.92 0.15

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rates and standard errorsUterus unspecified (C55)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 43 1.1 0.17 0.13 0.02*France, La Reunion 6 1.0 0.41 0.11 0.05*The Gambia 10 1.6 0.52 - - *Mali, Bamako 16 3.3 0.87 0.41 0.13*Uganda, Kyadondo County 19 2.1 0.60 0.25 0.08*Zimbabwe, Harare: African 14 1.5 0.46 0.19 0.08

America, Central and South*Argentina, Bahia Blanca 51 3.9 0.57 0.41 0.07*Argentina, Concordia 15 4.2 1.10 0.50 0.14*Brazil, Campinas 22 1.1 0.24 0.12 0.03*Brazil, Goiania 24 1.6 0.34 0.26 0.06 Colombia, Cali 33 0.9 0.17 0.09 0.02*Costa Rica 40 1.5 0.24 0.16 0.03*Cuba, Villa Clara 39 2.4 0.40 0.25 0.05*Ecuador, Quito 43 1.6 0.25 0.15 0.03*France, Martinique 2 0.1 0.08 0.02 0.02*USA, Puerto Rico 32 0.7 0.13 0.06 0.01*Uruguay, Montevideo 64 1.6 0.23 0.15 0.03

America, North Canada 493 0.4 0.02 0.04 0.00 Canada, Alberta 19 0.2 0.05 0.02 0.01 Canada, British Columbia 33 0.1 0.03 0.01 0.00 Canada, Manitoba 19 0.3 0.09 0.03 0.01 Canada, New Brunswick 14 0.4 0.13 0.04 0.01 Canada, Newfoundland 13 0.6 0.18 0.05 0.02 Canada, Northwest Territories 3 0.9 0.57 0.03 0.02 Canada, Nova Scotia 6 0.2 0.08 0.02 0.01 Canada, Ontario 150 0.3 0.03 0.03 0.00 Canada, Prince Edward Island 1 0.1 0.07 - - +Canada, Quebec 227 0.7 0.05 0.08 0.01 Canada, Saskatchewan 10 0.2 0.08 0.03 0.01 Canada, Yukon 0 - - - - USA, California, Los Angeles: Non-Hispanic White 39 0.2 0.03 0.02 0.00 USA, California, Los Angeles: Hispanic White 10 0.2 0.06 0.02 0.01 USA, California, Los Angeles: Black 11 0.3 0.10 0.03 0.01 USA, California, Los Angeles: Chinese 1 0.1 0.14 0.01 0.01 USA, California, Los Angeles: Filipino 1 0.1 0.11 0.03 0.03 USA, California, Los Angeles: Japanese 1 0.1 0.15 0.02 0.02 USA, California, Los Angeles: Korean 1 0.2 0.18 0.02 0.02 USA, California, San Francisco: Non-Hispanic White 30 0.3 0.06 0.03 0.01 USA, California, San Francisco: Hispanic White 3 0.2 0.13 0.03 0.02 USA, California, San Francisco: Black 9 0.6 0.23 0.07 0.03 USA, Connecticut: White 62 0.5 0.07 0.04 0.01 USA, Connecticut: Black 1 0.1 0.15 0.02 0.02 USA, Georgia, Atlanta: White 14 0.3 0.07 0.03 0.01 USA, Georgia, Atlanta: Black 20 1.0 0.24 0.12 0.04 USA, Iowa 41 0.3 0.05 0.03 0.01 USA, Louisiana, Central Region: White 5 0.6 0.29 0.08 0.04 USA, Louisiana, Central Region: Black 1 0.6 0.60 0.06 0.06 USA, Louisiana, New Orleans: White 13 0.5 0.16 0.05 0.02 USA, Louisiana, New Orleans: Black 7 0.5 0.19 0.04 0.03 USA, Michigan, Detroit: White 31 0.2 0.05 0.03 0.01 USA, Michigan, Detroit: Black 16 0.5 0.14 0.06 0.02 USA, New Jersey: White 255 0.9 0.06 0.10 0.01 USA, New Jersey: Black 49 1.4 0.21 0.15 0.03 USA, New Mexico: Non-Hispanic White 12 0.3 0.11 0.03 0.01 USA, New Mexico: Hispanic White 4 0.2 0.12 0.03 0.02 USA, New Mexico: American Indian 2 0.4 0.30 0.02 0.02 USA, New York State: White 617 0.9 0.04 0.11 0.01 USA, New York State: Black 157 1.6 0.13 0.18 0.02 USA, Utah 15 0.2 0.07 0.02 0.01 USA, Washington, Seattle 21 0.2 0.04 0.02 0.01 USA, SEER: White 231 0.3 0.02 0.03 0.00 USA, SEER: Black 49 0.6 0.09 0.07 0.01

Asia*China, Beijing 19 0.2 0.05 0.02 0.01

+*China, Changle *China, Cixian *China, Hong Kong 30 0.1 0.02 0.01 0.00*China, Jiashan 12 1.0 0.29 0.13 0.04

+*China, Qidong County 19 0.5 0.13 0.07 0.02+*China, Shanghai 165 0.6 0.05 0.06 0.01

*China, Taiwan 18 0.1 0.04 0.01 0.00*China, Tianjin 192 1.5 0.11 0.19 0.02+China, Wuhan 91 0.8 0.09 0.11 0.01

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rates and standard errorsUterus unspecified (C55) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 23 0.4 0.09 0.05 0.01*India, Bangalore 39 0.5 0.08 0.05 0.01 India, Chennai (Madras) 47 0.7 0.10 0.08 0.01*India, Delhi 101 1.0 0.10 0.12 0.02*India, Karunagappally 3 0.3 0.17 0.03 0.02 India, Mumbai (Bombay) 145 1.0 0.09 0.14 0.01*India, Nagpur 5 0.3 0.13 0.03 0.02*India, Poona 28 0.8 0.15 0.10 0.02*India, Trivandrum 4 0.1 0.07 0.01 0.01 Israel: Jews 264 1.9 0.12 0.21 0.01 Israel: Jews born in Israel 36 1.7 0.32 0.16 0.04 Israel: Jews born in Europe or America 166 2.4 0.23 0.26 0.02 Israel: Jews born in Africa or Asia 62 1.5 0.20 0.17 0.02 Israel: Non-Jews 16 1.1 0.28 0.14 0.04 Japan, Hiroshima 23 0.4 0.09 0.03 0.01*Japan, Miyagi Prefecture 79 0.6 0.07 0.04 0.01*Japan, Nagasaki Prefecture 67 0.8 0.11 0.08 0.01*Japan, Osaka Prefecture 473 1.0 0.05 0.10 0.01*Japan, Saga Prefecture 41 0.6 0.12 0.05 0.01*Japan, Yamagata Prefecture 57 0.7 0.12 0.07 0.01*Korea, Busan 55 1.5 0.20 0.18 0.03*Korea, Daegu 12 0.5 0.14 0.04 0.02*Korea, Kangwha County 4 1.4 0.75 0.16 0.09*Korea, Seoul 264 1.1 0.07 0.13 0.01*Kuwait: Kuwaitis 5 0.7 0.32 0.09 0.04*Kuwait: Non-Kuwaitis 1 0.6 0.55 0.14 0.14*Oman: Omani 27 1.2 0.24 0.09 0.02*Pakistan, South Karachi 2 0.1 0.09 0.00 0.00*Philippines, Manila 264 3.3 0.22 0.41 0.03*Philippines, Rizal 191 2.5 0.19 0.28 0.03 Singapore: Chinese 0 - - - - Singapore: Indian 0 - - - - Singapore: Malay 0 - - - - *Thailand, Bangkok 26 0.3 0.06 0.03 0.01*Thailand, Chiang Mai 1 0.0 0.02 0.00 0.00*Thailand, Khon Kaen 9 0.2 0.07 0.02 0.01*Thailand, Lampang 0 - - - - *Thailand, Songkhla 2 0.1 0.07 0.01 0.01*Viet Nam, Hanoi 43 0.9 0.14 - - *Viet Nam, Ho Chi Minh City 0 - - - -

Europe Austria, Tyrol 10 0.2 0.06 0.01 0.01 Austria, Vorarlberg 5 0.2 0.08 - -

+*Belarus 149 0.4 0.03 0.04 0.00*Belgium, Flanders, (excl. Limburg) 107 1.0 0.11 0.12 0.01*Belgium, Limburg 57 5.1 0.69 0.62 0.09*Croatia 151 0.6 0.05 0.07 0.01 Czech Republic 257 0.5 0.03 0.06 0.00 Denmark 204 0.8 0.06 0.09 0.01 Estonia 14 0.2 0.05 0.03 0.01 Finland 55 0.2 0.03 0.01 0.00 France, Bas-Rhin 18 0.5 0.12 0.05 0.01*France, Calvados 7 0.2 0.10 0.03 0.01 France, Cote d’Or 1 0.0 0.01 - - France, Doubs 20 1.0 0.23 0.11 0.03 France, Haut-Rhin 11 0.4 0.13 0.04 0.02*France, Herault 2 0.1 0.05 0.01 0.01 France, Isere 7 0.2 0.08 0.02 0.01*France, Manche 3 0.2 0.14 0.03 0.02*France, Somme 24 1.3 0.28 0.14 0.03 France, Tarn 6 0.1 0.05 0.01 0.01 Germany, Saarland 35 0.5 0.10 0.05 0.01 Iceland 0 - - - - Ireland 74 0.8 0.10 0.09 0.01 Italy, Biella Province 2 0.2 0.19 0.02 0.02 Italy, Ferrara Province 13 0.6 0.19 0.05 0.02*Italy, Florence 44 0.5 0.09 0.04 0.01 Italy, Genoa Province 67 1.2 0.20 0.10 0.02 Italy, Liguria Italy, Macerata Province 18 0.8 0.22 0.11 0.03 Italy, Modena Province 4 0.1 0.03 0.01 0.01 Italy, North East 116 1.7 0.18 0.18 0.02

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rates and standard errorsUterus unspecified (C55) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 20 0.5 0.16 0.04 0.02*Italy, Ragusa Province 24 1.6 0.35 0.17 0.05 Italy, Romagna 25 0.4 0.09 0.03 0.01 Italy, Sassari 12 0.4 0.14 0.03 0.02 Italy, Torino 22 0.3 0.07 0.02 0.01 Italy, Umbria 7 0.2 0.07 0.01 0.01 Italy, Varese Province 9 0.1 0.03 - - Italy, Venetian Region 151 2.0 0.19 0.21 0.02*Latvia 1 0.0 0.01 0.00 0.00 Lithuania 107 0.8 0.08 0.09 0.01 Malta 18 1.4 0.33 0.14 0.04 The Netherlands 18 0.0 0.01 0.00 0.00 The Netherlands, Eindhoven 0 - - - - The Netherlands, Maastricht 2 0.0 0.01 - - Norway 56 0.3 0.04 0.03 0.01*Poland, Cracow 15 0.4 0.12 0.05 0.01*Poland, Kielce 26 0.8 0.17 0.07 0.02*Poland, Lower Silesia 62 0.5 0.07 0.05 0.01 Poland, Warsaw City 49 0.6 0.09 0.05 0.01*Portugal, Vila Nova de Gaia 10 0.9 0.31 0.10 0.04*Russia, St Petersburg 51 0.3 0.04 0.03 0.00 Slovakia 38 0.1 0.03 0.01 0.00 Slovenia 66 0.7 0.10 0.07 0.01 Spain, Albacete 11 0.7 0.23 0.09 0.03 Spain, Asturias 31 0.9 0.17 0.10 0.02*Spain, Canary Islands 19 0.6 0.15 0.07 0.02 Spain, Cuenca 9 1.1 0.45 0.09 0.04 Spain, Girona 7 0.5 0.21 0.06 0.03 Spain, Granada 6 0.1 0.06 0.00 0.00 Spain, Mallorca 13 0.4 0.14 0.04 0.02 Spain, Murcia 8 0.3 0.11 0.02 0.01 Spain, Navarra 8 0.2 0.11 0.01 0.01 Spain, Tarragona 10 0.3 0.10 0.01 0.01*Spain, Zaragoza 70 1.6 0.22 0.17 0.03 Sweden 493 1.2 0.06 0.14 0.01 Switzerland, Basel 11 0.6 0.20 0.07 0.02 Switzerland, Geneva 4 0.2 0.09 0.01 0.01 Switzerland, Graubunden and Glarus 10 0.8 0.31 0.09 0.04 Switzerland, Neuchatel 1 0.2 0.17 0.03 0.03 Switzerland, St Gall-Appenzell 14 0.3 0.09 0.02 0.01*Switzerland, Ticino 19 2.6 0.68 0.24 0.08 Switzerland, Valais 2 0.1 0.06 - - Switzerland, Vaud 3 0.0 0.03 - - Switzerland, Zurich 16 0.2 0.05 0.01 0.01*UK, England 1366 0.6 0.02 0.06 0.00 UK, England, East Anglia 18 0.2 0.05 0.02 0.01 UK, England, Merseyside and Cheshire 86 0.7 0.09 0.09 0.01 UK, England, North Western 125 0.6 0.06 0.06 0.01 UK, England, Oxford Region 24 0.2 0.04 0.01 0.00*UK, England, South Thames 62 0.2 0.03 0.02 0.00*UK, England, South and Western Regions 331 0.9 0.06 0.09 0.01 UK, England, Trent 198 0.9 0.07 0.10 0.01*UK, England, West Midlands Region 177 0.7 0.06 0.08 0.01 UK, England, Yorkshire 152 0.9 0.08 0.10 0.01 UK, Northern Ireland 91 1.3 0.16 0.14 0.02 UK, Scotland 192 0.8 0.06 0.10 0.01*Yugoslavia, Vojvodina 115 1.2 0.12 0.13 0.02

Oceania Australia, Capital Territory 2 0.2 0.15 0.03 0.03 Australia, New South Wales 86 0.4 0.05 0.04 0.01 Australia, Northern Territory 0 - - - - Australia, Queensland 0 - - - - Australia, South 0 - - - - Australia, Tasmania 0 - - - - Australia, Victoria 0 - - - - Australia, Western 1 0.0 0.01 - - New Zealand 55 0.4 0.06 0.04 0.01 USA, Hawaii: White 3 0.2 0.12 0.01 0.01 USA, Hawaii: Chinese 5 1.4 0.72 0.10 0.07 USA, Hawaii: Filipino 3 0.6 0.34 0.08 0.04 USA, Hawaii: Hawaiian 4 0.8 0.43 0.12 0.07 USA, Hawaii: Japanese 7 0.7 0.28 0.08 0.03

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rates and standard errorsOvary (C56)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers *France, La Reunion 39 6.7 1.10 0.89 0.16*The Gambia 13 2.0 0.61 - - *Mali, Bamako 12 2.1 0.66 0.29 0.11*Uganda, Kyadondo County 75 6.3 0.86 0.70 0.12*Zimbabwe, Harare: African 88 7.8 1.05 1.06 0.18

America, Central and South*Argentina, Bahia Blanca 116 9.1 0.89 1.01 0.11*Argentina, Concordia 32 8.3 1.51 0.83 0.18*Brazil, Campinas 47 2.4 0.35 0.28 0.05*Brazil, Goiania 96 5.5 0.59 0.62 0.08 Colombia, Cali 359 10.1 0.56 1.18 0.08*Costa Rica 168 6.0 0.48 0.63 0.06*Cuba, Villa Clara 82 5.7 0.65 0.70 0.09*Ecuador, Quito 199 7.7 0.57 0.87 0.08*France, Martinique 59 4.9 0.67 0.48 0.07*USA, Puerto Rico 238 5.5 0.37 0.59 0.05*Uruguay, Montevideo 264 8.4 0.56 0.96 0.07

America, North Canada 11803 11.4 0.11 1.28 0.01 Canada, Alberta 914 10.9 0.38 1.22 0.05 Canada, British Columbia 1549 11.4 0.31 1.29 0.04 Canada, Manitoba 507 12.6 0.61 1.42 0.07 Canada, New Brunswick 250 9.5 0.64 1.06 0.08 Canada, Newfoundland 189 10.8 0.81 1.21 0.10 Canada, Northwest Territories 26 9.2 2.01 0.99 0.28 Canada, Nova Scotia 402 11.8 0.63 1.34 0.08 Canada, Ontario 4566 11.8 0.18 1.33 0.02 Canada, Prince Edward Island 47 10.2 1.57 1.09 0.18+Canada, Quebec 2895 11.0 0.21 1.22 0.03 Canada, Saskatchewan 462 12.3 0.64 1.38 0.08 Canada, Yukon 24 14.3 3.18 1.65 0.46 USA, California, Los Angeles: Non-Hispanic White 2109 14.5 0.35 1.64 0.04 USA, California, Los Angeles: Hispanic White 630 11.5 0.48 1.32 0.07 USA, California, Los Angeles: Black 280 8.8 0.55 0.93 0.07 USA, California, Los Angeles: Chinese 85 9.0 1.02 0.90 0.12 USA, California, Los Angeles: Filipino 96 11.4 1.20 1.20 0.14 USA, California, Los Angeles: Japanese 56 9.7 1.39 1.02 0.15 USA, California, Los Angeles: Korean 41 7.3 1.16 0.79 0.14 USA, California, San Francisco: Non-Hispanic White 1205 14.0 0.45 1.54 0.05 USA, California, San Francisco: Hispanic White 167 13.0 1.04 1.50 0.14 USA, California, San Francisco: Black 127 9.1 0.84 1.03 0.10 USA, Connecticut: White 1466 13.0 0.37 1.48 0.05 USA, Connecticut: Black 54 6.8 0.95 0.79 0.13 USA, Georgia, Atlanta: White 672 13.2 0.53 1.57 0.07 USA, Georgia, Atlanta: Black 162 7.6 0.64 0.89 0.09 USA, Iowa 1464 13.0 0.38 1.45 0.05 USA, Louisiana, Central Region: White 80 9.9 1.20 1.10 0.14 USA, Louisiana, Central Region: Black 16 7.4 1.92 0.73 0.21 USA, Louisiana, New Orleans: White 247 10.2 0.70 1.19 0.09 USA, Louisiana, New Orleans: Black 95 7.9 0.84 0.90 0.12 USA, Michigan, Detroit: White 1539 13.3 0.37 1.47 0.04 USA, Michigan, Detroit: Black 310 9.4 0.56 1.11 0.08 USA, New Jersey: White 3786 14.4 0.26 1.62 0.03 USA, New Jersey: Black 333 9.6 0.54 1.12 0.07 USA, New Mexico: Non-Hispanic White 397 11.6 0.63 1.30 0.08 USA, New Mexico: Hispanic White 153 8.9 0.75 0.98 0.10 USA, New Mexico: American Indian 34 10.1 1.78 1.02 0.23 USA, New York State: White 7802 13.8 0.17 1.57 0.02 USA, New York State: Black 899 9.0 0.31 1.05 0.04 USA, Utah 651 12.0 0.50 1.36 0.06 USA, Washington, Seattle 1805 14.2 0.36 1.55 0.04 USA, SEER: White 9504 13.2 0.15 1.47 0.02 USA, SEER: Black 708 8.8 0.35 1.02 0.05

Asia*China, Beijing 432 5.6 0.29 0.64 0.03

+*China, Changle *China, Cixian *China, Hong Kong *China, Jiashan 27 2.3 0.45 0.24 0.05

+*China, Qidong County 48 1.5 0.22 0.15 0.02+*China, Shanghai 1392 6.0 0.17 0.66 0.02

*China, Taiwan 603 5.3 0.22 0.55 0.03*China, Tianjin 479 4.0 0.19 0.44 0.02+China, Wuhan 366 3.3 0.18 0.35 0.02

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rates and standard errorsOvary (C56) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 217 3.6 0.25 0.38 0.03*India, Bangalore 401 5.1 0.27 0.59 0.04 India, Chennai (Madras) 448 5.5 0.27 0.61 0.03*India, Delhi 1016 8.6 0.29 0.95 0.04*India, Karunagappally 26 2.5 0.51 0.27 0.06 India, Mumbai (Bombay) 1337 8.0 0.23 0.91 0.03*India, Nagpur 195 9.6 0.74 0.94 0.08*India, Poona 289 7.0 0.43 0.83 0.06*India, Trivandrum 116 4.5 0.42 0.46 0.05 Israel: Jews 1666 12.3 0.31 1.36 0.04 Israel: Jews born in Israel 384 11.1 0.70 1.23 0.10 Israel: Jews born in Europe or America 1002 16.0 0.61 1.75 0.06 Israel: Jews born in Africa or Asia 280 7.9 0.69 0.88 0.06 Israel: Non-Jews 72 4.0 0.50 0.42 0.06 Japan, Hiroshima 268 7.2 0.46 0.74 0.05*Japan, Miyagi Prefecture 624 7.1 0.30 0.71 0.03*Japan, Nagasaki Prefecture 375 5.9 0.33 0.62 0.03*Japan, Osaka Prefecture 1948 5.7 0.14 0.60 0.02*Japan, Saga Prefecture 226 5.8 0.43 0.60 0.05*Japan, Yamagata Prefecture 292 5.2 0.35 0.51 0.03*Korea, Busan 201 4.8 0.35 0.52 0.04*Korea, Daegu 127 5.0 0.45 0.49 0.05*Korea, Kangwha County 5 1.6 0.72 0.25 0.11*Korea, Seoul 1445 5.4 0.15 0.56 0.02*Kuwait: Kuwaitis 37 5.6 0.97 0.67 0.14*Kuwait: Non-Kuwaitis 46 7.4 1.62 1.05 0.29*Oman: Omani 66 2.8 0.37 0.26 0.04*Pakistan, South Karachi 136 10.9 1.04 1.21 0.14*Philippines, Manila 1194 13.5 0.42 1.47 0.06*Philippines, Rizal 885 10.1 0.37 1.12 0.05 Singapore: Chinese 670 10.3 0.41 1.04 0.05 Singapore: Indian 45 9.2 1.44 1.12 0.21 Singapore: Malay 104 11.2 1.14 1.24 0.14*Thailand, Bangkok 554 6.0 0.27 0.62 0.03*Thailand, Chiang Mai 197 5.2 0.38 0.52 0.04*Thailand, Khon Kaen 231 5.7 0.38 0.62 0.05*Thailand, Lampang 79 3.7 0.43 0.39 0.05*Thailand, Songkhla 95 4.3 0.45 0.45 0.05*Viet Nam, Hanoi 230 4.5 0.30 - - *Viet Nam, Ho Chi Minh City 368 4.1 0.22 0.44 0.03

Europe Austria, Tyrol 337 13.6 0.80 1.57 0.10 Austria, Vorarlberg 121 9.8 0.95 1.15 0.12

+*Belarus 4030 10.4 0.17 1.21 0.02*Belgium, Flanders, (excl. Limburg) 988 11.1 0.39 1.21 0.05*Belgium, Limburg 91 8.2 0.90 0.92 0.10*Croatia 2075 11.5 0.27 1.31 0.03 Czech Republic 5713 14.2 0.20 1.60 0.02 Denmark 2841 13.3 0.27 1.59 0.03 Estonia 769 12.0 0.46 1.42 0.06 Finland 2310 10.8 0.24 1.23 0.03 France, Bas-Rhin 413 11.0 0.58 1.30 0.07*France, Calvados 266 10.7 0.71 1.26 0.09 France, Cote d’Or 224 11.0 0.81 1.26 0.10 France, Doubs 186 10.6 0.82 1.18 0.10 France, Haut-Rhin 291 11.0 0.69 1.27 0.08*France, Herault 294 8.5 0.54 1.00 0.06 France, Isere 371 9.4 0.52 0.98 0.06*France, Manche 200 12.2 0.97 1.42 0.12*France, Somme 218 10.7 0.79 1.17 0.09 France, Tarn 148 9.5 0.89 1.07 0.10 Germany, Saarland 554 10.3 0.49 1.21 0.06 Iceland 130 16.2 1.48 1.82 0.18 Ireland 1257 13.5 0.40 1.53 0.05 Italy, Biella Province 50 8.5 1.58 0.90 0.15 Italy, Ferrara Province 148 8.3 0.80 0.93 0.09*Italy, Florence 560 9.9 0.47 1.10 0.05 Italy, Genoa Province 406 9.6 0.55 1.05 0.06 Italy, Liguria Italy, Macerata Province 146 10.5 0.99 1.21 0.11 Italy, Modena Province 319 10.6 0.67 1.14 0.08 Italy, North East 500 8.4 0.42 0.94 0.05

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rates and standard errorsOvary (C56) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 223 10.6 0.83 1.17 0.09*Italy, Ragusa Province 112 8.5 0.88 0.99 0.11 Italy, Romagna 469 9.8 0.52 1.09 0.06 Italy, Sassari 150 8.0 0.70 0.89 0.08 Italy, Torino 529 11.3 0.56 1.26 0.06 Italy, Umbria 239 9.7 0.73 1.07 0.08 Italy, Varese Province 381 9.4 0.53 1.05 0.07 Italy, Venetian Region 554 7.8 0.37 0.86 0.04*Latvia 1367 13.1 0.38 1.48 0.04 Lithuania 1932 13.3 0.32 1.52 0.04 Malta 161 12.3 1.00 1.40 0.12 The Netherlands 7113 12.0 0.15 1.38 0.02 The Netherlands, Eindhoven 441 12.8 0.63 1.50 0.08 The Netherlands, Maastricht 420 12.1 0.63 1.48 0.08 Norway 2293 13.2 0.31 1.52 0.04*Poland, Cracow 374 12.9 0.69 1.48 0.08*Poland, Kielce 345 11.1 0.62 1.25 0.07*Poland, Lower Silesia 991 9.8 0.32 1.09 0.04 Poland, Warsaw City 871 12.4 0.45 1.35 0.05*Portugal, Vila Nova de Gaia 51 6.1 0.88 0.80 0.13*Russia, St Petersburg 1820 10.8 0.27 1.21 0.03 Slovakia 1998 11.1 0.26 1.23 0.03 Slovenia 855 11.4 0.41 1.25 0.05 Spain, Albacete 129 9.8 0.94 1.12 0.11 Spain, Asturias 371 9.4 0.54 1.09 0.06*Spain, Canary Islands 210 8.1 0.58 0.89 0.07 Spain, Cuenca 78 9.9 1.33 1.05 0.13 Spain, Girona 102 7.6 0.84 0.84 0.10 Spain, Granada 230 8.1 0.57 0.90 0.07 Spain, Mallorca 165 8.8 0.73 1.05 0.09 Spain, Murcia 215 7.2 0.52 0.79 0.06 Spain, Navarra 173 8.3 0.70 0.88 0.08 Spain, Tarragona 187 8.2 0.64 0.98 0.08*Spain, Zaragoza 314 9.4 0.60 1.01 0.06 Sweden 5377 15.2 0.23 1.74 0.03 Switzerland, Basel 181 9.0 0.74 1.04 0.09 Switzerland, Geneva 195 11.8 0.90 1.36 0.12 Switzerland, Graubunden and Glarus 113 11.2 1.17 1.45 0.17 Switzerland, Neuchatel 55 9.5 1.40 1.02 0.16 Switzerland, St Gall-Appenzell 322 16.3 0.99 1.78 0.12*Switzerland, Ticino 67 12.2 1.67 1.30 0.19 Switzerland, Valais 117 11.6 1.13 1.35 0.14 Switzerland, Vaud 195 9.2 0.73 1.03 0.09 Switzerland, Zurich 474 11.9 0.60 1.36 0.07*UK, England 25932 12.4 0.08 1.45 0.01 UK, England, East Anglia 1257 14.0 0.44 1.63 0.05 UK, England, Merseyside and Cheshire 1286 12.9 0.39 1.48 0.05 UK, England, North Western 2319 14.5 0.33 1.66 0.04 UK, England, Oxford Region 1452 15.1 0.42 1.75 0.05*UK, England, South Thames 3502 11.8 0.22 1.39 0.03*UK, England, South and Western Regions 3970 13.2 0.24 1.53 0.03 UK, England, Trent 2673 13.3 0.28 1.55 0.03*UK, England, West Midlands Region 2794 13.0 0.27 1.49 0.03 UK, England, Yorkshire 2003 13.2 0.32 1.51 0.04 UK, Northern Ireland 798 13.8 0.52 1.58 0.06 UK, Scotland 3055 13.9 0.28 1.59 0.03*Yugoslavia, Vojvodina 730 9.4 0.36 1.04 0.04

Oceania Australia, Capital Territory 73 9.0 1.08 1.07 0.14 Australia, New South Wales 1790 8.2 0.21 0.93 0.03 Australia, Northern Territory 23 7.2 1.63 0.81 0.23 Australia, Queensland 966 8.8 0.30 0.98 0.04 Australia, South 430 7.8 0.41 0.87 0.05 Australia, Tasmania 176 10.8 0.87 1.17 0.10 Australia, Victoria 1666 10.4 0.27 1.17 0.03 Australia, Western 431 7.8 0.39 0.92 0.05 New Zealand 1330 10.9 0.32 1.22 0.04 USA, Hawaii: White 136 14.4 1.31 1.53 0.15 USA, Hawaii: Chinese 24 10.8 2.28 1.30 0.27 USA, Hawaii: Filipino 51 10.4 1.48 0.96 0.14 USA, Hawaii: Hawaiian 68 13.4 1.65 1.44 0.21 USA, Hawaii: Japanese 115 9.8 1.06 1.08 0.11

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rates and standard errorsOther female genital organs (C57)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers *France, La Reunion 1 0.1 0.11 - - *The Gambia 1 0.1 0.08 - - *Mali, Bamako 0 - - - - *Uganda, Kyadondo County 6 0.7 0.33 0.09 0.05*Zimbabwe, Harare: African 0 - - - -

America, Central and South*Argentina, Bahia Blanca 3 0.2 0.11 0.01 0.01*Argentina, Concordia 0 - - - - *Brazil, Campinas 64 3.2 0.40 0.34 0.05*Brazil, Goiania 3 0.2 0.11 0.02 0.02 Colombia, Cali 8 0.2 0.09 0.02 0.01*Costa Rica 7 0.3 0.10 0.04 0.02*Cuba, Villa Clara 2 0.1 0.08 0.01 0.01*Ecuador, Quito 1 0.1 0.05 0.01 0.01*France, Martinique 5 0.4 0.19 0.03 0.02*USA, Puerto Rico 7 0.1 0.06 0.01 0.01*Uruguay, Montevideo 26 0.7 0.14 0.07 0.02

America, North Canada 574 0.6 0.02 0.07 0.00 Canada, Alberta 37 0.4 0.07 0.05 0.01 Canada, British Columbia 43 0.3 0.05 0.04 0.01 Canada, Manitoba 22 0.4 0.09 0.04 0.01 Canada, New Brunswick 9 0.3 0.11 0.03 0.01 Canada, Newfoundland 8 0.4 0.15 0.06 0.02 Canada, Northwest Territories 0 - - - - Canada, Nova Scotia 9 0.3 0.10 0.04 0.01 Canada, Ontario 320 0.9 0.05 0.10 0.01 Canada, Prince Edward Island 0 - - - - +Canada, Quebec 116 0.4 0.04 0.05 0.01 Canada, Saskatchewan 9 0.3 0.10 0.04 0.01 Canada, Yukon 1 0.5 0.50 0.04 0.04 USA, California, Los Angeles: Non-Hispanic White 85 0.5 0.07 0.06 0.01 USA, California, Los Angeles: Hispanic White 25 0.5 0.09 0.05 0.01 USA, California, Los Angeles: Black 7 0.2 0.09 0.03 0.01 USA, California, Los Angeles: Chinese 2 0.2 0.13 0.01 0.01 USA, California, Los Angeles: Filipino 1 0.1 0.11 0.03 0.03 USA, California, Los Angeles: Japanese 1 0.1 0.12 0.03 0.03 USA, California, Los Angeles: Korean 1 0.2 0.22 0.03 0.03 USA, California, San Francisco: Non-Hispanic White 45 0.5 0.08 0.07 0.01 USA, California, San Francisco: Hispanic White 1 0.1 0.09 0.01 0.01 USA, California, San Francisco: Black 4 0.2 0.09 0.01 0.01 USA, Connecticut: White 66 0.6 0.08 0.07 0.01 USA, Connecticut: Black 2 0.3 0.18 0.03 0.02 USA, Georgia, Atlanta: White 28 0.4 0.09 0.05 0.01 USA, Georgia, Atlanta: Black 6 0.4 0.15 0.04 0.02 USA, Iowa 50 0.4 0.06 0.04 0.01 USA, Louisiana, Central Region: White 2 0.2 0.13 0.02 0.02 USA, Louisiana, Central Region: Black 1 0.5 0.47 0.08 0.08 USA, Louisiana, New Orleans: White 8 0.3 0.11 0.03 0.01 USA, Louisiana, New Orleans: Black 3 0.3 0.16 0.02 0.02 USA, Michigan, Detroit: White 55 0.4 0.06 0.05 0.01 USA, Michigan, Detroit: Black 14 0.4 0.11 0.04 0.01 USA, New Jersey: White 112 0.4 0.04 0.05 0.01 USA, New Jersey: Black 10 0.3 0.10 0.04 0.01 USA, New Mexico: Non-Hispanic White 12 0.4 0.12 0.05 0.02 USA, New Mexico: Hispanic White 9 0.5 0.18 0.06 0.02 USA, New Mexico: American Indian 0 - - - - USA, New York State: White 242 0.4 0.03 0.05 0.00 USA, New York State: Black 48 0.5 0.07 0.06 0.01 USA, Utah 14 0.2 0.07 0.02 0.01 USA, Washington, Seattle 70 0.5 0.07 0.07 0.01 USA, SEER: White 348 0.5 0.03 0.06 0.00 USA, SEER: Black 29 0.3 0.07 0.03 0.01

Asia*China, Beijing 19 0.3 0.06 0.03 0.01

+*China, Changle *China, Cixian *China, Hong Kong *China, Jiashan 1 0.1 0.07 0.01 0.01

+*China, Qidong County 3 0.1 0.05 0.01 0.01+*China, Shanghai 52 0.2 0.03 0.03 0.00

*China, Taiwan 46 0.4 0.06 0.03 0.01*China, Tianjin 153 1.3 0.11 0.14 0.01+China, Wuhan 59 0.5 0.07 0.07 0.01

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rates and standard errorsOther female genital organs (C57) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 5 0.1 0.03 0.01 0.01*India, Bangalore 7 0.1 0.03 0.01 0.00 India, Chennai (Madras) 7 0.1 0.03 0.01 0.00*India, Delhi 21 0.2 0.04 0.02 0.00*India, Karunagappally 5 0.5 0.24 0.05 0.03 India, Mumbai (Bombay) 19 0.1 0.03 0.01 0.00*India, Nagpur 0 - - - - *India, Poona 4 0.1 0.06 0.01 0.01*India, Trivandrum 3 0.1 0.07 0.01 0.01 Israel: Jews 87 0.6 0.07 0.07 0.01 Israel: Jews born in Israel 14 0.5 0.17 0.06 0.03 Israel: Jews born in Europe or America 57 0.8 0.13 0.09 0.01 Israel: Jews born in Africa or Asia 16 0.4 0.09 0.05 0.01 Israel: Non-Jews 1 0.0 0.04 0.00 0.00 Japan, Hiroshima 8 0.2 0.07 0.02 0.01*Japan, Miyagi Prefecture 6 0.1 0.02 0.01 0.00*Japan, Nagasaki Prefecture 20 0.3 0.07 0.04 0.01*Japan, Osaka Prefecture 27 0.1 0.02 0.01 0.00*Japan, Saga Prefecture 4 0.1 0.05 0.01 0.01*Japan, Yamagata Prefecture 2 0.0 0.03 0.00 0.00*Korea, Busan 8 0.2 0.07 0.02 0.01*Korea, Daegu 4 0.2 0.09 0.02 0.01*Korea, Kangwha County 1 0.3 0.35 0.04 0.04*Korea, Seoul 120 0.5 0.04 0.05 0.01*Kuwait: Kuwaitis 1 0.1 0.13 0.01 0.01*Kuwait: Non-Kuwaitis 0 - - - - *Oman: Omani 0 - - - - *Pakistan, South Karachi 0 - - - - *Philippines, Manila 12 0.1 0.04 0.01 0.00*Philippines, Rizal 8 0.1 0.04 0.01 0.00 Singapore: Chinese 16 0.3 0.07 0.04 0.01 Singapore: Indian 1 0.2 0.20 0.02 0.02 Singapore: Malay 1 0.1 0.12 0.01 0.01*Thailand, Bangkok 17 0.2 0.05 0.02 0.01*Thailand, Chiang Mai 6 0.2 0.07 0.02 0.01*Thailand, Khon Kaen 3 0.1 0.04 0.00 0.00*Thailand, Lampang 3 0.2 0.09 0.02 0.01*Thailand, Songkhla 1 0.0 0.03 0.00 0.00*Viet Nam, Hanoi 13 0.3 0.07 - - *Viet Nam, Ho Chi Minh City 11 0.1 0.04 0.02 0.01

Europe Austria, Tyrol 47 1.6 0.26 0.19 0.04 Austria, Vorarlberg 20 1.3 0.32 0.14 0.04

+*Belarus 628 1.3 0.06 0.16 0.01*Belgium, Flanders, (excl. Limburg) 29 0.4 0.08 0.04 0.01*Belgium, Limburg 4 0.4 0.19 0.05 0.02*Croatia 52 0.3 0.04 0.03 0.00 Czech Republic 380 0.8 0.04 0.09 0.01 Denmark 155 0.6 0.06 0.07 0.01 Estonia 28 0.4 0.08 0.05 0.01 Finland 158 0.7 0.06 0.08 0.01 France, Bas-Rhin 24 0.6 0.13 0.09 0.02*France, Calvados 10 0.4 0.13 0.04 0.02 France, Cote d’Or 7 0.3 0.11 0.03 0.02 France, Doubs 7 0.4 0.15 0.05 0.02 France, Haut-Rhin 9 0.3 0.12 0.04 0.01*France, Herault 7 0.2 0.09 0.01 0.01 France, Isere 18 0.5 0.12 0.06 0.02*France, Manche 15 0.8 0.24 0.09 0.03*France, Somme 15 0.5 0.16 0.07 0.02 France, Tarn 7 0.4 0.16 0.07 0.03 Germany, Saarland 45 0.5 0.09 0.05 0.01 Iceland 5 0.5 0.26 0.04 0.02 Ireland 20 0.2 0.05 0.02 0.01 Italy, Biella Province 3 0.2 0.13 0.03 0.03 Italy, Ferrara Province 4 0.1 0.07 0.02 0.01*Italy, Florence 25 0.4 0.09 0.04 0.01 Italy, Genoa Province 23 0.5 0.11 0.06 0.02 Italy, Liguria Italy, Macerata Province 4 0.3 0.14 0.04 0.02 Italy, Modena Province 16 0.4 0.10 0.04 0.01 Italy, North East 188 2.4 0.21 0.26 0.03

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rates and standard errorsOther female genital organs (C57) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 8 0.3 0.13 0.02 0.01*Italy, Ragusa Province 7 0.5 0.21 0.07 0.03 Italy, Romagna 23 0.3 0.08 0.03 0.01 Italy, Sassari 2 0.1 0.05 0.01 0.01 Italy, Torino 34 0.6 0.12 0.09 0.02 Italy, Umbria 10 0.3 0.13 0.03 0.01 Italy, Varese Province 14 0.2 0.08 0.02 0.01 Italy, Venetian Region 184 2.2 0.18 0.26 0.02*Latvia 61 0.5 0.07 0.07 0.01 Lithuania 98 0.5 0.06 0.06 0.01 Malta 2 0.1 0.07 0.01 0.01 The Netherlands 258 0.4 0.03 0.04 0.00 The Netherlands, Eindhoven 8 0.2 0.07 0.02 0.01 The Netherlands, Maastricht 19 0.5 0.13 0.06 0.02 Norway 156 0.7 0.07 0.08 0.01*Poland, Cracow 22 0.6 0.14 0.06 0.02*Poland, Kielce 19 0.5 0.11 0.06 0.02*Poland, Lower Silesia 343 3.3 0.18 0.36 0.02 Poland, Warsaw City 61 0.6 0.09 0.06 0.01*Portugal, Vila Nova de Gaia 3 0.2 0.17 0.01 0.01*Russia, St Petersburg 79 0.5 0.06 0.06 0.01 Slovakia 87 0.4 0.05 0.04 0.01 Slovenia 61 0.7 0.09 0.09 0.01 Spain, Albacete 1 0.0 0.03 - - Spain, Asturias 33 0.7 0.13 0.07 0.02*Spain, Canary Islands 18 0.6 0.14 0.05 0.02 Spain, Cuenca 5 0.4 0.22 0.03 0.02 Spain, Girona 4 0.3 0.15 0.02 0.02 Spain, Granada 5 0.1 0.05 0.01 0.01 Spain, Mallorca 5 0.1 0.08 0.01 0.01 Spain, Murcia 10 0.2 0.08 0.02 0.01 Spain, Navarra 14 0.5 0.17 0.04 0.02 Spain, Tarragona 15 0.6 0.18 0.07 0.02*Spain, Zaragoza 24 0.5 0.11 0.05 0.01 Sweden 223 0.6 0.04 0.07 0.01 Switzerland, Basel 6 0.3 0.11 0.04 0.02 Switzerland, Geneva 16 0.9 0.24 0.12 0.04 Switzerland, Graubunden and Glarus 4 0.2 0.13 0.04 0.03 Switzerland, Neuchatel 2 0.3 0.25 0.02 0.02 Switzerland, St Gall-Appenzell 18 0.8 0.21 0.09 0.03*Switzerland, Ticino 7 1.2 0.47 0.14 0.06 Switzerland, Valais 3 0.3 0.17 0.03 0.02 Switzerland, Vaud 12 0.5 0.16 0.05 0.02 Switzerland, Zurich 22 0.4 0.09 0.06 0.02*UK, England 584 0.3 0.01 0.03 0.00 UK, England, East Anglia 17 0.2 0.05 0.02 0.01 UK, England, Merseyside and Cheshire 16 0.2 0.04 0.02 0.01 UK, England, North Western 35 0.2 0.04 0.03 0.01 UK, England, Oxford Region 13 0.1 0.04 0.02 0.01*UK, England, South Thames 64 0.2 0.03 0.02 0.00*UK, England, South and Western Regions 226 0.7 0.06 0.09 0.01 UK, England, Trent 39 0.2 0.04 0.02 0.00*UK, England, West Midlands Region 84 0.4 0.04 0.04 0.01 UK, England, Yorkshire 20 0.1 0.03 0.02 0.00 UK, Northern Ireland 21 0.3 0.08 0.03 0.01 UK, Scotland 39 0.2 0.03 0.02 0.00*Yugoslavia, Vojvodina 81 0.9 0.11 0.11 0.01

Oceania Australia, Capital Territory 2 0.3 0.19 0.05 0.04 Australia, New South Wales 71 0.3 0.04 0.04 0.01 Australia, Northern Territory 1 0.4 0.36 0.05 0.05 Australia, Queensland 18 0.2 0.04 0.02 0.01 Australia, South 16 0.3 0.08 0.03 0.01 Australia, Tasmania 6 0.2 0.10 0.03 0.02 Australia, Victoria 70 0.4 0.05 0.05 0.01 Australia, Western 16 0.3 0.08 0.04 0.01 New Zealand 67 0.5 0.07 0.06 0.01 USA, Hawaii: White 7 0.8 0.30 0.10 0.04 USA, Hawaii: Chinese 1 0.4 0.43 0.04 0.04 USA, Hawaii: Filipino 4 0.6 0.32 0.06 0.04 USA, Hawaii: Hawaiian 3 0.7 0.38 0.07 0.04 USA, Hawaii: Japanese 7 0.5 0.20 0.06 0.03

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsPlacenta (C58)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 0 - - - - *France, La Reunion 1 0.1 0.12 0.01 0.01*The Gambia 1 0.1 0.13 - - *Mali, Bamako 2 0.3 0.22 0.02 0.02*Uganda, Kyadondo County 16 0.8 0.27 0.07 0.03*Zimbabwe, Harare: African 13 0.3 0.09 0.02 0.01

America, Central and South*Argentina, Bahia Blanca 0 - - - - *Argentina, Concordia 1 0.2 0.24 0.01 0.01*Brazil, Campinas 0 - - - - *Brazil, Goiania 1 0.0 0.04 0.00 0.00 Colombia, Cali 11 0.2 0.07 0.01 0.01*Costa Rica 5 0.1 0.06 0.01 0.00*Cuba, Villa Clara 0 - - - - *Ecuador, Quito 19 0.5 0.12 0.04 0.01*France, Martinique 1 0.1 0.11 0.01 0.01*USA, Puerto Rico 0 - - - - *Uruguay, Montevideo 5 0.2 0.10 0.02 0.01

America, North Canada 40 0.1 0.01 0.00 0.00 Canada, Alberta 0 - - - - Canada, British Columbia 0 - - - - Canada, Manitoba 1 0.0 0.04 0.00 0.00 Canada, New Brunswick 0 - - - - Canada, Newfoundland 1 0.1 0.06 0.00 0.00 Canada, Northwest Territories 3 0.9 0.52 0.08 0.06 Canada, Nova Scotia 0 - - - - Canada, Ontario 14 0.0 0.01 0.00 0.00 Canada, Prince Edward Island 1 0.3 0.35 0.02 0.02+Canada, Quebec 20 0.1 0.03 0.01 0.00 Canada, Saskatchewan 2 0.1 0.07 0.01 0.00 Canada, Yukon 0 - - - - USA, California, Los Angeles: Non-Hispanic White 8 0.1 0.04 0.01 0.00 USA, California, Los Angeles: Hispanic White 21 0.2 0.05 0.02 0.00 USA, California, Los Angeles: Black 5 0.2 0.09 0.01 0.01 USA, California, Los Angeles: Chinese 0 - - - - USA, California, Los Angeles: Filipino 1 0.1 0.13 0.01 0.01 USA, California, Los Angeles: Japanese 0 - - - - USA, California, Los Angeles: Korean 0 - - - - USA, California, San Francisco: Non-Hispanic White 6 0.1 0.06 0.01 0.00 USA, California, San Francisco: Hispanic White 2 0.2 0.12 0.01 0.01 USA, California, San Francisco: Black 1 0.1 0.08 0.01 0.01 USA, Connecticut: White 3 0.0 0.02 0.00 0.00 USA, Connecticut: Black 0 - - - - USA, Georgia, Atlanta: White 3 0.1 0.05 0.01 0.00 USA, Georgia, Atlanta: Black 4 0.2 0.08 0.01 0.01 USA, Iowa 4 0.1 0.03 0.00 0.00 USA, Louisiana, Central Region: White 1 0.2 0.24 0.01 0.01 USA, Louisiana, Central Region: Black 0 - - - - USA, Louisiana, New Orleans: White 1 0.1 0.10 0.01 0.01 USA, Louisiana, New Orleans: Black 0 - - - - USA, Michigan, Detroit: White 8 0.1 0.05 0.01 0.00 USA, Michigan, Detroit: Black 5 0.2 0.08 0.01 0.01 USA, New Jersey: White 14 0.1 0.03 0.01 0.00 USA, New Jersey: Black 12 0.4 0.11 0.03 0.01 USA, New Mexico: Non-Hispanic White 0 - - - - USA, New Mexico: Hispanic White 1 0.1 0.06 0.00 0.00 USA, New Mexico: American Indian 2 0.4 0.28 0.03 0.02 USA, New York State: White 26 0.1 0.01 0.00 0.00 USA, New York State: Black 17 0.2 0.05 0.01 0.00 USA, Utah 4 0.1 0.04 0.01 0.00 USA, Washington, Seattle 9 0.1 0.03 0.01 0.00 USA, SEER: White 38 0.1 0.01 0.01 0.00 USA, SEER: Black 12 0.1 0.04 0.01 0.00

Asia*China, Beijing 5 0.1 0.04 0.01 0.00

+*China, Changle *China, Cixian *China, Hong Kong 8 0.0 0.01 0.00 0.00*China, Jiashan 3 0.4 0.22 0.02 0.01

+*China, Qidong County 2 0.0 0.03 0.00 0.00+*China, Shanghai 28 0.1 0.03 0.01 0.00

*China, Taiwan 3 0.0 0.01 0.00 0.00*China, Tianjin 30 0.3 0.07 0.02 0.00+China, Wuhan 13 0.1 0.03 0.01 0.00

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rates and standard errorsPlacenta (C58) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 8 0.1 0.03 0.01 0.00*India, Bangalore 10 0.1 0.03 0.00 0.00 India, Chennai (Madras) 18 0.1 0.03 0.01 0.00*India, Delhi 40 0.2 0.03 0.02 0.00*India, Karunagappally 1 0.1 0.11 0.01 0.01 India, Mumbai (Bombay) 38 0.1 0.02 0.01 0.00*India, Nagpur 4 0.2 0.09 0.01 0.01*India, Poona 4 0.0 0.02 0.00 0.00*India, Trivandrum 1 0.0 0.05 0.00 0.00 Israel: Jews 4 0.0 0.02 0.00 0.00 Israel: Jews born in Israel 3 0.1 0.06 0.01 0.01 Israel: Jews born in Europe or America 1 0.1 0.06 0.00 0.00 Israel: Jews born in Africa or Asia 0 - - - - Israel: Non-Jews 2 0.1 0.05 0.00 0.00 Japan, Hiroshima 1 0.0 0.04 0.00 0.00*Japan, Miyagi Prefecture 1 0.0 0.02 0.00 0.00*Japan, Nagasaki Prefecture 3 0.1 0.05 0.01 0.00*Japan, Osaka Prefecture 8 0.0 0.01 0.00 0.00*Japan, Saga Prefecture 3 0.1 0.07 0.01 0.01*Japan, Yamagata Prefecture 5 0.1 0.07 0.01 0.01*Korea, Busan 11 0.2 0.06 0.02 0.01*Korea, Daegu 2 0.1 0.05 0.00 0.00*Korea, Kangwha County 0 - - - - *Korea, Seoul 118 0.3 0.03 0.03 0.00*Kuwait: Kuwaitis 1 0.1 0.12 0.01 0.01*Kuwait: Non-Kuwaitis 5 0.3 0.12 0.02 0.01*Oman: Omani 25 0.9 0.19 0.07 0.01*Pakistan, South Karachi 9 0.5 0.20 0.05 0.03*Philippines, Manila 66 0.5 0.07 0.05 0.01*Philippines, Rizal 56 0.4 0.05 0.03 0.00 Singapore: Chinese 7 0.1 0.03 0.01 0.00 Singapore: Indian 0 - - - - Singapore: Malay 1 0.1 0.08 0.01 0.01*Thailand, Bangkok 24 0.2 0.04 0.01 0.00*Thailand, Chiang Mai 6 0.1 0.05 0.01 0.00*Thailand, Khon Kaen 28 0.6 0.11 0.04 0.01*Thailand, Lampang 6 0.3 0.11 0.03 0.01*Thailand, Songkhla 6 0.2 0.10 0.02 0.01*Viet Nam, Hanoi 133 2.2 0.20 - - *Viet Nam, Ho Chi Minh City 24 0.2 0.05 0.02 0.00

Europe Austria, Tyrol 2 0.1 0.08 0.01 0.01 Austria, Vorarlberg 0 - - - -

+*Belarus 29 0.1 0.02 0.01 0.00*Belgium, Flanders, (excl. Limburg) 2 0.0 0.03 0.00 0.00*Belgium, Limburg 0 - - - - *Croatia 19 0.2 0.04 0.01 0.00 Czech Republic 27 0.1 0.02 0.01 0.00 Denmark 6 0.0 0.02 0.00 0.00 Estonia 4 0.1 0.06 0.01 0.00 Finland 8 0.1 0.02 0.00 0.00 France, Bas-Rhin 1 0.0 0.03 0.00 0.00*France, Calvados 0 - - - - France, Cote d’Or 1 0.1 0.08 0.01 0.01 France, Doubs 1 0.1 0.08 0.01 0.01 France, Haut-Rhin 2 0.1 0.08 0.01 0.01*France, Herault 3 0.1 0.07 0.01 0.01 France, Isere 2 0.1 0.05 0.00 0.00*France, Manche 1 0.1 0.13 0.01 0.01*France, Somme 0 - - - - France, Tarn 0 - - - - Germany, Saarland 4 0.1 0.06 0.01 0.00 Iceland 0 - - - - Ireland 1 0.0 0.01 0.00 0.00 Italy, Biella Province 0 - - - - Italy, Ferrara Province 0 - - - - *Italy, Florence 5 0.1 0.06 0.01 0.01 Italy, Genoa Province 2 0.1 0.06 0.01 0.01 Italy, Liguria Italy, Macerata Province 0 - - - - Italy, Modena Province 0 - - - - Italy, North East 6 0.2 0.07 0.01 0.01

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsPlacenta (C58) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 0 - - - - *Italy, Ragusa Province 0 - - - - Italy, Romagna 1 0.0 0.03 0.00 0.00 Italy, Sassari 0 - - - - Italy, Torino 0 - - - - Italy, Umbria 1 0.1 0.09 0.01 0.01 Italy, Varese Province 1 0.0 0.04 0.00 0.00 Italy, Venetian Region 3 0.1 0.04 0.01 0.00*Latvia 13 0.2 0.06 0.02 0.00 Lithuania 10 0.1 0.03 0.01 0.00 Malta 0 - - - - The Netherlands 22 0.0 0.01 0.00 0.00 The Netherlands, Eindhoven 0 - - - - The Netherlands, Maastricht 0 - - - - Norway 11 0.1 0.03 0.01 0.00*Poland, Cracow 0 - - - - *Poland, Kielce 1 0.0 0.03 0.00 0.00*Poland, Lower Silesia 5 0.1 0.03 0.01 0.00 Poland, Warsaw City 8 0.3 0.10 0.02 0.01*Portugal, Vila Nova de Gaia 0 - - - - *Russia, St Petersburg 5 0.0 0.02 0.00 0.00 Slovakia 13 0.1 0.03 0.01 0.00 Slovenia 2 0.0 0.03 0.00 0.00 Spain, Albacete 0 - - - - Spain, Asturias 0 - - - - *Spain, Canary Islands 2 0.1 0.06 0.01 0.00 Spain, Cuenca 0 - - - - Spain, Girona 0 - - - - Spain, Granada 2 0.1 0.06 0.01 0.00 Spain, Mallorca 0 - - - - Spain, Murcia 0 - - - - Spain, Navarra 0 - - - - Spain, Tarragona 0 - - - - *Spain, Zaragoza 0 - - - - Sweden 12 0.1 0.02 0.00 0.00 Switzerland, Basel 0 - - - - Switzerland, Geneva 1 0.1 0.07 0.01 0.01 Switzerland, Graubunden and Glarus 0 - - - - Switzerland, Neuchatel 0 - - - - Switzerland, St Gall-Appenzell 0 - - - - *Switzerland, Ticino 0 - - - - Switzerland, Valais 0 - - - - Switzerland, Vaud 1 0.1 0.06 0.01 0.01 Switzerland, Zurich 4 0.1 0.07 0.01 0.01*UK, England 39 0.0 0.00 0.00 0.00 UK, England, East Anglia 1 0.0 0.02 0.00 0.00 UK, England, Merseyside and Cheshire 1 0.0 0.02 0.00 0.00 UK, England, North Western 3 0.0 0.02 0.00 0.00 UK, England, Oxford Region 3 0.0 0.02 0.00 0.00*UK, England, South Thames 5 0.0 0.01 0.00 0.00*UK, England, South and Western Regions 9 0.1 0.02 0.00 0.00 UK, England, Trent 4 0.0 0.02 0.00 0.00*UK, England, West Midlands Region 8 0.1 0.02 0.00 0.00 UK, England, Yorkshire 1 0.0 0.02 0.00 0.00 UK, Northern Ireland 1 0.0 0.02 0.00 0.00 UK, Scotland 6 0.0 0.02 0.00 0.00*Yugoslavia, Vojvodina 8 0.2 0.06 0.01 0.00

Oceania Australia, Capital Territory 0 - - - - Australia, New South Wales 8 0.0 0.02 0.00 0.00 Australia, Northern Territory 1 0.3 0.28 0.02 0.02 Australia, Queensland 6 0.1 0.03 0.00 0.00 Australia, South 3 0.1 0.05 0.01 0.00 Australia, Tasmania 0 - - - - Australia, Victoria 5 0.0 0.02 0.00 0.00 Australia, Western 1 0.0 0.02 0.00 0.00 New Zealand 14 0.1 0.04 0.01 0.00 USA, Hawaii: White 0 - - - - USA, Hawaii: Chinese 0 - - - - USA, Hawaii: Filipino 0 - - - - USA, Hawaii: Hawaiian 0 - - - - USA, Hawaii: Japanese 1 0.1 0.14 0.01 0.01

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rates and standard errorsPenis (C60)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers *France, La Reunion 1 0.2 0.16 0.01 0.01 *The Gambia 4 0.7 0.37 - - *Mali, Bamako 0 - - - - *Uganda, Kyadondo County 34 4.0 0.82 0.51 0.14 *Zimbabwe, Harare: African 19 1.6 0.46 0.13 0.05

America, Central and South*Argentina, Bahia Blanca 16 1.4 0.36 0.15 0.05 *Argentina, Concordia 5 1.6 0.71 0.18 0.11 *Brazil, Campinas 17 1.0 0.24 0.10 0.03 *Brazil, Goiania 44 3.7 0.58 0.42 0.08 Colombia, Cali 44 1.5 0.25 0.16 0.04 *Costa Rica 24 0.8 0.18 0.08 0.02 *Cuba, Villa Clara 23 1.3 0.29 0.15 0.04 *Ecuador, Quito 16 0.9 0.22 0.12 0.04 *France, Martinique 12 1.0 0.30 0.11 0.04 *USA, Puerto Rico 102 2.6 0.27 0.30 0.04 *Uruguay, Montevideo 29 1.1 0.21 0.12 0.03

America, North Canada 533 0.6 0.02 0.06 0.00 Canada, Alberta 51 0.6 0.09 0.07 0.01 Canada, British Columbia 58 0.5 0.06 0.06 0.01 Canada, Manitoba 21 0.4 0.10 0.03 0.01 Canada, New Brunswick 17 0.6 0.16 0.05 0.02 Canada, Newfoundland 14 0.8 0.21 0.08 0.03 Canada, Northwest Territories 1 0.3 0.33 0.04 0.04 Canada, Nova Scotia 25 0.8 0.16 0.12 0.03 Canada, Ontario 211 0.6 0.04 0.07 0.01 Canada, Prince Edward Island 4 1.0 0.49 0.10 0.06 +Canada, Quebec 107 0.4 0.04 0.05 0.01 Canada, Saskatchewan 25 0.7 0.15 0.08 0.02 Canada, Yukon 1 0.5 0.46 0.05 0.05 USA, California, Los Angeles: Non-Hispanic White 82 0.6 0.07 0.06 0.01 USA, California, Los Angeles: Hispanic White 33 0.8 0.14 0.05 0.01 USA, California, Los Angeles: Black 11 0.5 0.15 0.04 0.02 USA, California, Los Angeles: Chinese 1 0.2 0.18 - - USA, California, Los Angeles: Filipino 1 0.1 0.11 0.01 0.01 USA, California, Los Angeles: Japanese 0 - - - - USA, California, Los Angeles: Korean 0 - - - - USA, California, San Francisco: Non-Hispanic White 37 0.4 0.07 0.04 0.01 USA, California, San Francisco: Hispanic White 3 0.3 0.17 0.06 0.04 USA, California, San Francisco: Black 3 0.2 0.14 0.04 0.03 USA, Connecticut: White 61 0.5 0.07 0.05 0.01 USA, Connecticut: Black 4 0.7 0.36 0.08 0.06 USA, Georgia, Atlanta: White 15 0.4 0.09 0.04 0.01 USA, Georgia, Atlanta: Black 8 0.7 0.26 0.10 0.04 USA, Iowa 45 0.5 0.07 0.05 0.01 USA, Louisiana, Central Region: White 3 0.5 0.28 0.05 0.03 USA, Louisiana, Central Region: Black 0 - - - - USA, Louisiana, New Orleans: White 18 0.8 0.20 0.08 0.02 USA, Louisiana, New Orleans: Black 10 1.3 0.41 0.18 0.07 USA, Michigan, Detroit: White 48 0.5 0.07 0.06 0.01 USA, Michigan, Detroit: Black 21 0.8 0.18 0.08 0.02 USA, New Jersey: White 114 0.5 0.05 0.06 0.01 USA, New Jersey: Black 17 0.7 0.16 0.07 0.02 USA, New Mexico: Non-Hispanic White 9 0.3 0.10 0.04 0.02 USA, New Mexico: Hispanic White 17 1.0 0.26 0.10 0.03 USA, New Mexico: American Indian 2 0.8 0.60 0.11 0.09 USA, New York State: White 252 0.5 0.03 0.06 0.00 USA, New York State: Black 44 0.6 0.10 0.08 0.01 USA, Utah 17 0.4 0.09 0.04 0.01 USA, Washington, Seattle 59 0.5 0.07 0.05 0.01 USA, SEER: White 307 0.4 0.03 0.05 0.00 USA, SEER: Black 39 0.6 0.10 0.07 0.02

Asia*China, Beijing 25 0.3 0.06 0.04 0.01

+*China, Changle *China, Cixian *China, Hong Kong *China, Jiashan 7 0.6 0.22 0.07 0.03

+*China, Qidong County 5 0.2 0.07 0.02 0.01 +*China, Shanghai 79 0.3 0.03 0.03 0.00

*China, Taiwan 38 0.3 0.05 0.03 0.01 *China, Tianjin 40 0.3 0.06 0.04 0.01 +China, Wuhan 13 0.1 0.04 0.02 0.01

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rates and standard errorsPenis (C60) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 84 1.3 0.15 0.16 0.02 *India, Bangalore 82 1.0 0.11 0.11 0.02 India, Chennai (Madras) 149 1.8 0.15 0.22 0.02 *India, Delhi 142 1.1 0.10 0.12 0.01 *India, Karunagappally 8 1.0 0.35 0.15 0.06 India, Mumbai (Bombay) 223 1.2 0.09 0.14 0.01 *India, Nagpur 32 1.6 0.30 0.20 0.04 *India, Poona 74 1.6 0.20 0.22 0.03 *India, Trivandrum 19 0.8 0.19 0.10 0.03 Israel: Jews 6 0.0 0.02 0.01 0.00 Israel: Jews born in Israel 0 - - - - Israel: Jews born in Europe or America 5 0.0 0.02 0.01 0.00 Israel: Jews born in Africa or Asia 1 0.0 0.03 0.00 0.00 Israel: Non-Jews 4 0.3 0.18 0.05 0.03 Japan, Hiroshima 7 0.2 0.08 0.03 0.01 *Japan, Miyagi Prefecture 22 0.2 0.05 0.03 0.01 *Japan, Nagasaki Prefecture 20 0.3 0.07 0.03 0.01 *Japan, Osaka Prefecture 61 0.2 0.02 0.02 0.00 *Japan, Saga Prefecture 8 0.2 0.07 0.02 0.01 *Japan, Yamagata Prefecture 12 0.2 0.06 0.03 0.01 *Korea, Busan 9 0.3 0.12 0.04 0.02 *Korea, Daegu 5 0.3 0.12 0.02 0.01 *Korea, Kangwha County 1 0.4 0.37 0.09 0.09 *Korea, Seoul 47 0.3 0.05 0.03 0.01 *Kuwait: Kuwaitis 0 - - - - *Kuwait: Non-Kuwaitis 1 0.3 0.27 0.04 0.04 *Oman: Omani 1 0.0 0.05 0.00 0.00 *Pakistan, South Karachi 4 0.2 0.11 0.03 0.02 *Philippines, Manila 30 0.5 0.10 0.05 0.01 *Philippines, Rizal 40 0.6 0.10 0.07 0.01 Singapore: Chinese 38 0.7 0.12 0.10 0.02 Singapore: Indian 5 0.8 0.35 0.12 0.05 Singapore: Malay 1 0.2 0.18 - - *Thailand, Bangkok 55 0.8 0.12 0.08 0.01 *Thailand, Chiang Mai 92 2.5 0.27 0.28 0.03 *Thailand, Khon Kaen 51 1.6 0.23 0.20 0.04 *Thailand, Lampang 33 1.6 0.28 0.16 0.03 *Thailand, Songkhla 41 2.2 0.34 0.22 0.04 *Viet Nam, Hanoi 92 2.2 0.23 - - *Viet Nam, Ho Chi Minh City 83 1.4 0.16 0.16 0.02

Europe Austria, Tyrol 19 0.9 0.22 0.11 0.03 Austria, Vorarlberg 9 0.8 0.26 0.02 0.02

+*Belarus 194 0.7 0.05 0.08 0.01 *Belgium, Flanders, (excl. Limburg) 61 0.7 0.09 0.07 0.01 *Belgium, Limburg 8 0.7 0.25 0.07 0.03 *Croatia 64 0.4 0.06 0.05 0.01 Czech Republic 286 0.8 0.05 0.10 0.01 Denmark 201 0.9 0.07 0.11 0.01 Estonia 33 0.8 0.14 0.09 0.02 Finland 80 0.4 0.05 0.05 0.01 France, Bas-Rhin 28 0.9 0.17 0.10 0.02 *France, Calvados 9 0.4 0.13 0.05 0.02 France, Cote d’Or France, Doubs 6 0.4 0.15 0.05 0.02 France, Haut-Rhin 28 1.2 0.23 0.14 0.03 *France, Herault 24 0.7 0.15 0.07 0.02 France, Isere 24 0.7 0.14 0.09 0.02 *France, Manche 7 0.5 0.18 0.07 0.03 *France, Somme 14 0.7 0.19 0.08 0.03 France, Tarn 12 0.6 0.18 0.08 0.03 Germany, Saarland 27 0.6 0.12 0.07 0.02 Iceland 7 0.7 0.28 0.09 0.05 Ireland 81 0.9 0.10 0.10 0.01 Italy, Biella Province 2 0.3 0.24 0.03 0.03 Italy, Ferrara Province 14 0.8 0.23 0.08 0.03 *Italy, Florence 44 0.8 0.13 0.10 0.02 Italy, Genoa Province 17 0.5 0.13 0.06 0.02 Italy, Liguria Italy, Macerata Province 10 0.6 0.19 0.07 0.03 Italy, Modena Province 11 0.4 0.13 0.05 0.02 Italy, North East 40 0.7 0.12 0.08 0.02

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rates and standard errorsPenis (C60) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 8 0.4 0.17 0.04 0.02 *Italy, Ragusa Province 10 1.0 0.32 0.11 0.04 Italy, Romagna 29 0.6 0.11 0.07 0.02 Italy, Sassari 7 0.5 0.18 0.06 0.02 Italy, Torino 26 0.6 0.13 0.07 0.02 Italy, Umbria 20 0.8 0.19 0.08 0.02 Italy, Varese Province 13 0.4 0.11 0.05 0.02 Italy, Venetian Region 39 0.7 0.11 0.08 0.01 *Latvia 55 0.8 0.10 0.07 0.01 Lithuania 74 0.7 0.08 0.08 0.01 Malta 18 1.6 0.38 0.18 0.05 The Netherlands 378 0.7 0.04 0.07 0.00 The Netherlands, Eindhoven 19 0.6 0.14 0.07 0.02 The Netherlands, Maastricht 21 0.7 0.15 0.06 0.02 Norway 153 0.9 0.08 0.11 0.01 *Poland, Cracow 9 0.4 0.13 0.05 0.02 *Poland, Kielce 3 0.1 0.06 0.02 0.01 *Poland, Lower Silesia 69 0.8 0.10 0.09 0.01 Poland, Warsaw City 35 0.6 0.11 0.07 0.01 *Portugal, Vila Nova de Gaia 4 0.6 0.29 0.11 0.06 *Russia, St Petersburg 46 0.4 0.06 0.04 0.01 Slovakia 119 0.8 0.07 0.09 0.01 Slovenia 34 0.5 0.09 0.07 0.01 Spain, Albacete 27 1.8 0.36 0.24 0.06 Spain, Asturias 30 0.9 0.16 0.11 0.02 *Spain, Canary Islands 22 0.9 0.20 0.11 0.03 Spain, Cuenca 13 1.3 0.43 0.14 0.05 Spain, Girona 7 0.4 0.16 0.07 0.03 Spain, Granada 29 1.1 0.20 0.14 0.03 Spain, Mallorca 21 1.2 0.27 0.13 0.04 Spain, Murcia 34 1.2 0.21 0.12 0.03 Spain, Navarra 23 1.1 0.24 0.14 0.03 Spain, Tarragona 26 1.1 0.24 0.12 0.03 *Spain, Zaragoza 31 0.9 0.16 0.10 0.02 Sweden 303 0.8 0.05 0.09 0.01 Switzerland, Basel 15 0.8 0.21 0.10 0.03 Switzerland, Geneva 16 0.8 0.22 0.07 0.03 Switzerland, Graubunden and Glarus 5 0.4 0.18 0.03 0.03 Switzerland, Neuchatel 8 1.5 0.54 0.25 0.10 Switzerland, St Gall-Appenzell 17 1.0 0.25 0.12 0.03 *Switzerland, Ticino 4 0.8 0.41 0.05 0.03 Switzerland, Valais 4 0.4 0.19 0.02 0.02 Switzerland, Vaud 18 0.9 0.22 0.09 0.03 Switzerland, Zurich 31 0.9 0.16 0.11 0.02 *UK, England 1487 0.8 0.02 0.08 0.00 UK, England, East Anglia 63 0.7 0.10 0.08 0.01 UK, England, Merseyside and Cheshire 82 0.9 0.11 0.11 0.01 UK, England, North Western 138 0.9 0.08 0.10 0.01 UK, England, Oxford Region 64 0.7 0.09 0.08 0.01 *UK, England, South Thames 177 0.7 0.05 0.07 0.01 *UK, England, South and Western Regions 252 0.9 0.06 0.09 0.01 UK, England, Trent 148 0.8 0.07 0.09 0.01 *UK, England, West Midlands Region 201 1.0 0.07 0.11 0.01 UK, England, Yorkshire 102 0.7 0.07 0.07 0.01 UK, Northern Ireland 62 1.2 0.16 0.13 0.02 UK, Scotland 177 1.0 0.07 0.10 0.01 *Yugoslavia, Vojvodina 29 0.4 0.08 0.04 0.01

Oceania Australia, Capital Territory 4 0.6 0.31 0.06 0.04 Australia, New South Wales 101 0.5 0.05 0.06 0.01 Australia, Northern Territory 3 1.2 0.73 0.23 0.16 Australia, Queensland 59 0.6 0.08 0.07 0.01 Australia, South 16 0.3 0.08 0.03 0.01 Australia, Tasmania 5 0.3 0.15 0.02 0.01 Australia, Victoria 81 0.5 0.06 0.06 0.01 Australia, Western 21 0.4 0.09 0.05 0.01 New Zealand 60 0.5 0.06 0.06 0.01 USA, Hawaii: White 4 0.4 0.19 0.03 0.02 USA, Hawaii: Chinese 0 - - - - USA, Hawaii: Filipino 2 0.4 0.25 0.07 0.05 USA, Hawaii: Hawaiian 1 0.2 0.15 - - USA, Hawaii: Japanese 2 0.3 0.18 0.03 0.02

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rates and standard errorsProstate (C61)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 194 5.4 0.43 0.72 0.07 *France, La Reunion 122 26.6 2.42 3.42 0.40 *The Gambia 20 4.7 1.10 - - *Mali, Bamako 29 7.6 1.42 1.08 0.23 *Uganda, Kyadondo County 215 37.1 2.76 4.54 0.44 *Zimbabwe, Harare: African 251 30.7 2.12 3.72 0.34

America, Central and South*Argentina, Bahia Blanca 366 31.9 1.70 3.70 0.26 *Argentina, Concordia 96 31.3 3.20 3.80 0.51 *Brazil, Campinas 420 28.8 1.41 3.42 0.22 *Brazil, Goiania 941 92.4 3.04 11.80 0.49 Colombia, Cali 1086 42.2 1.35 5.06 0.21 *Costa Rica 824 33.1 1.18 3.85 0.19 *Cuba, Villa Clara 446 22.2 1.09 2.01 0.16 *Ecuador, Quito 555 28.4 1.24 3.07 0.19 *France, Martinique 1205 96.3 2.88 12.11 0.47 *USA, Puerto Rico 4282 96.0 1.54 11.84 0.25 *Uruguay, Montevideo 1175 40.2 1.22 4.40 0.18

America, North Canada 79609 80.2 0.29 10.43 0.05 Canada, Alberta 6644 84.6 1.06 11.29 0.17 Canada, British Columbia 12544 92.0 0.85 12.15 0.13 Canada, Manitoba 3946 96.0 1.61 12.64 0.25 Canada, New Brunswick 2578 97.6 2.01 12.48 0.31 Canada, Newfoundland 1075 59.3 1.87 7.71 0.30 Canada, Northwest Territories 48 23.0 3.41 3.08 0.59 Canada, Nova Scotia 2830 85.2 1.67 10.99 0.26 Canada, Ontario 30273 81.0 0.48 10.61 0.07 Canada, Prince Edward Island 518 108.5 4.98 14.57 0.80 +Canada, Quebec 15674 66.7 0.54 8.31 0.08 Canada, Saskatchewan 3473 82.9 1.51 11.06 0.24 Canada, Yukon 82 60.4 6.75 7.69 1.07 USA, California, Los Angeles: Non-Hispanic White 16475 110.1 0.91 14.67 0.14 USA, California, Los Angeles: Hispanic White 3482 111.6 1.92 15.09 0.33 USA, California, Los Angeles: Black 4105 176.3 2.80 23.63 0.44 USA, California, Los Angeles: Chinese 296 33.4 2.01 3.76 0.30 USA, California, Los Angeles: Filipino 544 89.2 4.02 13.06 0.75 USA, California, Los Angeles: Japanese 403 64.7 3.34 7.49 0.47 USA, California, Los Angeles: Korean 80 22.0 2.61 2.21 0.33 USA, California, San Francisco: Non-Hispanic White 8642 108.9 1.24 14.99 0.19 USA, California, San Francisco: Hispanic White 827 87.0 3.07 12.17 0.50 USA, California, San Francisco: Black 1690 147.0 3.67 20.06 0.57 USA, Connecticut: White 11536 105.8 1.04 14.36 0.16 USA, Connecticut: Black 967 181.4 5.88 24.88 0.94 USA, Georgia, Atlanta: White 4979 127.3 1.83 17.85 0.30 USA, Georgia, Atlanta: Black 2039 181.5 4.11 24.26 0.66 USA, Iowa 11072 101.5 1.02 13.81 0.16 USA, Louisiana, Central Region: White 646 81.6 3.37 10.50 0.52 USA, Louisiana, Central Region: Black 208 114.7 8.37 15.56 1.34 USA, Louisiana, New Orleans: White 2126 96.9 2.17 12.99 0.34 USA, Louisiana, New Orleans: Black 1055 134.2 4.19 18.17 0.68 USA, Michigan, Detroit: White 12525 119.6 1.10 15.90 0.17 USA, Michigan, Detroit: Black 4919 202.0 2.97 27.74 0.46 USA, New Jersey: White 27475 110.8 0.70 14.78 0.11 USA, New Jersey: Black 4200 173.9 2.70 23.20 0.43 USA, New Mexico: Non-Hispanic White 3593 106.4 1.86 14.46 0.29 USA, New Mexico: Hispanic White 1306 89.4 2.52 12.09 0.40 USA, New Mexico: American Indian 121 52.3 4.93 6.56 0.78 USA, New York State: White 45809 89.0 0.44 11.99 0.07 USA, New York State: Black 8993 136.9 1.45 18.33 0.23 USA, Utah 5642 115.8 1.60 15.68 0.25 USA, Washington, Seattle 11693 103.2 1.00 13.94 0.16 USA, SEER: White 71146 107.8 0.42 14.64 0.07 USA, SEER: Black 10337 185.4 1.86 25.33 0.29

Asia*China, Beijing 266 2.9 0.18 0.32 0.03

+*China, Changle *China, Cixian *China, Hong Kong 1654 8.6 0.22 0.90 0.03 *China, Jiashan 16 1.9 0.54 0.18 0.06

+*China, Qidong County 33 1.1 0.19 0.12 0.03 +*China, Shanghai 940 3.0 0.10 0.35 0.02

*China, Taiwan 1553 11.9 0.31 1.30 0.04 *China, Tianjin 224 2.0 0.14 0.22 0.02 +China, Wuhan 178 2.0 0.17 0.22 0.02

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rates and standard errorsProstate (C61) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 185 3.6 0.27 0.46 0.04 *India, Bangalore 272 3.8 0.24 0.47 0.04 India, Chennai (Madras) 321 4.9 0.27 0.52 0.04 *India, Delhi 642 6.8 0.27 0.81 0.04 *India, Karunagappally 20 2.3 0.52 0.31 0.09 India, Mumbai (Bombay) 960 7.4 0.24 0.89 0.04 *India, Nagpur 58 3.4 0.46 0.36 0.06 *India, Poona 229 6.6 0.44 0.71 0.06 *India, Trivandrum 88 4.0 0.42 0.44 0.06 Israel: Jews 6260 43.4 0.58 5.55 0.09 Israel: Jews born in Israel 601 47.5 2.05 5.64 0.29 Israel: Jews born in Europe or America 3936 43.4 0.79 5.62 0.12 Israel: Jews born in Africa or Asia 1723 41.3 1.00 5.30 0.16 Israel: Non-Jews 165 14.8 1.18 1.88 0.21 Japan, Hiroshima 528 14.1 0.63 1.43 0.10 *Japan, Miyagi Prefecture 1274 12.7 0.36 1.28 0.05 *Japan, Nagasaki Prefecture 997 12.6 0.41 1.32 0.06 *Japan, Osaka Prefecture 2818 9.0 0.17 0.88 0.02 *Japan, Saga Prefecture 465 10.5 0.50 1.07 0.07 *Japan, Yamagata Prefecture 679 9.3 0.37 1.00 0.06 *Korea, Busan 136 7.1 0.67 0.68 0.08 *Korea, Daegu 93 6.6 0.71 0.67 0.10 *Korea, Kangwha County 13 5.4 1.57 0.54 0.20 *Korea, Seoul 1048 8.5 0.28 0.85 0.04 *Kuwait: Kuwaitis 61 11.4 1.49 1.21 0.22 *Kuwait: Non-Kuwaitis 39 10.9 2.42 1.07 0.29 *Oman: Omani 164 8.9 0.71 1.12 0.11 *Pakistan, South Karachi 68 5.3 0.66 0.61 0.10 *Philippines, Manila 939 22.3 0.74 2.40 0.11 *Philippines, Rizal 662 16.6 0.66 1.68 0.10 Singapore: Chinese 717 14.4 0.54 1.52 0.08 Singapore: Indian 65 9.9 1.28 1.01 0.16 Singapore: Malay 91 13.3 1.41 1.16 0.17 *Thailand, Bangkok 376 6.8 0.35 0.66 0.05 *Thailand, Chiang Mai 146 4.2 0.35 0.46 0.05 *Thailand, Khon Kaen 63 2.4 0.31 0.32 0.05 *Thailand, Lampang 78 3.9 0.45 0.44 0.07 *Thailand, Songkhla 72 4.0 0.47 0.43 0.07 *Viet Nam, Hanoi 56 1.5 0.20 - - *Viet Nam, Ho Chi Minh City 199 3.8 0.27 0.43 0.04

Europe Austria, Tyrol 2146 100.1 2.21 13.03 0.35 Austria, Vorarlberg 697 66.4 2.55 7.84 0.39

+*Belarus 4532 16.0 0.24 2.07 0.04 *Belgium, Flanders, (excl. Limburg) 5636 59.6 0.82 7.36 0.12 *Belgium, Limburg 1008 84.4 2.69 11.11 0.41 *Croatia 3149 20.0 0.37 2.27 0.06 Czech Republic 11618 32.0 0.30 3.66 0.04 Denmark 7209 29.9 0.37 3.41 0.06 Estonia 1597 35.8 0.90 4.29 0.14 Finland 12000 62.8 0.58 7.23 0.09 France, Bas-Rhin 2088 63.4 1.41 7.90 0.22 *France, Calvados 1441 60.7 1.64 7.79 0.26 France, Cote d’Or France, Doubs 981 53.6 1.75 6.25 0.27 France, Haut-Rhin 1390 57.6 1.56 7.03 0.25 *France, Herault 2143 51.2 1.16 6.18 0.18 France, Isere 2189 58.3 1.27 7.04 0.20 *France, Manche 907 50.5 1.73 6.18 0.26 *France, Somme 950 42.5 1.43 5.09 0.21 France, Tarn 1092 57.9 1.86 7.54 0.29 Germany, Saarland 2291 49.4 1.04 5.94 0.16 Iceland 688 75.2 2.99 9.31 0.47 Ireland 4489 44.4 0.69 5.22 0.11 Italy, Biella Province 281 43.0 2.66 4.81 0.40 Italy, Ferrara Province 574 26.2 1.14 3.51 0.19 *Italy, Florence 2404 35.1 0.75 4.12 0.12 Italy, Genoa Province 1749 38.4 0.97 4.20 0.14 Italy, Liguria Italy, Macerata Province 687 37.4 1.51 4.59 0.24 Italy, Modena Province 1114 33.1 1.03 4.12 0.16 Italy, North East 3224 51.6 0.94 6.45 0.15

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsProstate (C61) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 716 29.3 1.17 3.48 0.18 *Italy, Ragusa Province 306 20.1 1.20 2.05 0.18 Italy, Romagna 2277 39.3 0.86 4.57 0.13 Italy, Sassari 491 23.6 1.10 2.88 0.18 Italy, Torino 1821 37.7 0.90 4.71 0.14 Italy, Umbria 1149 36.4 1.13 4.22 0.17 Italy, Varese Province 1430 40.7 1.10 4.77 0.17 Italy, Venetian Region 2640 37.0 0.74 4.28 0.11 *Latvia 1426 18.8 0.50 2.30 0.08 Lithuania 2885 26.0 0.49 3.14 0.08 Malta 326 25.6 1.46 2.88 0.22 The Netherlands 31479 53.9 0.31 6.51 0.05 The Netherlands, Eindhoven 1728 52.1 1.27 6.30 0.20 The Netherlands, Maastricht 1784 51.9 1.25 6.42 0.19 Norway 12094 60.9 0.60 7.26 0.09 *Poland, Cracow 384 16.8 0.86 2.02 0.13 *Poland, Kielce 496 15.8 0.72 1.91 0.11 *Poland, Lower Silesia 1596 19.3 0.49 2.26 0.07 Poland, Warsaw City 1344 22.2 0.61 2.68 0.09 *Portugal, Vila Nova de Gaia 248 31.8 2.07 3.49 0.31 *Russia, St Petersburg 1598 15.3 0.39 1.84 0.06 Slovakia 3976 24.6 0.40 2.91 0.06 Slovenia 1663 26.7 0.66 3.12 0.10 Spain, Albacete 489 27.8 1.32 3.19 0.20 Spain, Asturias 1067 24.0 0.77 2.86 0.12 *Spain, Canary Islands 838 33.6 1.18 3.63 0.18 Spain, Cuenca 390 26.8 1.48 2.91 0.22 Spain, Girona 632 39.5 1.65 4.65 0.25 Spain, Granada 742 22.3 0.84 2.58 0.13 Spain, Mallorca 705 31.5 1.25 3.57 0.19 Spain, Murcia 878 26.5 0.92 2.94 0.14 Spain, Navarra 1077 40.6 1.29 4.84 0.20 Spain, Tarragona 848 28.1 1.01 3.28 0.16 *Spain, Zaragoza 1308 30.7 0.90 3.65 0.14 Sweden 28920 63.0 0.40 7.75 0.06 Switzerland, Basel 1290 61.6 1.78 7.29 0.28 Switzerland, Geneva 914 52.4 1.84 7.11 0.30 Switzerland, Graubunden and Glarus 517 51.7 2.41 6.19 0.39 Switzerland, Neuchatel 288 49.7 3.05 6.27 0.49 Switzerland, St Gall-Appenzell 1286 59.9 1.77 6.99 0.28 *Switzerland, Ticino 221 37.1 2.61 4.32 0.42 Switzerland, Valais 634 61.8 2.54 7.98 0.41 Switzerland, Vaud 1280 62.3 1.84 7.48 0.29 Switzerland, Zurich 3017 77.5 1.46 9.68 0.24 *UK, England 89532 39.6 0.14 4.41 0.02 UK, England, East Anglia 4854 43.2 0.66 4.78 0.10 UK, England, Merseyside and Cheshire 4222 39.5 0.63 4.44 0.10 UK, England, North Western 7547 42.8 0.51 4.77 0.08 UK, England, Oxford Region 4670 44.4 0.67 5.11 0.10 *UK, England, South Thames 13676 43.3 0.39 4.93 0.06 *UK, England, South and Western Regions 15881 45.2 0.38 4.91 0.06 UK, England, Trent 7859 34.2 0.40 3.68 0.06 *UK, England, West Midlands Region 9732 39.9 0.42 4.30 0.06 UK, England, Yorkshire 6426 37.6 0.49 4.26 0.07 UK, Northern Ireland 2260 37.2 0.81 3.88 0.12 UK, Scotland 9194 42.4 0.46 4.73 0.07 *Yugoslavia, Vojvodina 951 12.4 0.41 1.35 0.06

Oceania Australia, Capital Territory 750 112.3 4.16 15.00 0.66 Australia, New South Wales 19977 90.1 0.66 11.53 0.10 Australia, Northern Territory 133 58.4 5.25 8.56 0.93 Australia, Queensland 8926 75.9 0.83 9.42 0.13 Australia, South 5737 98.5 1.36 12.27 0.21 Australia, Tasmania 1789 103.3 2.53 13.12 0.39 Australia, Victoria 13492 84.8 0.75 10.60 0.12 Australia, Western 5280 99.9 1.40 13.05 0.22 New Zealand 10601 85.5 0.86 10.27 0.13 USA, Hawaii: White 990 99.8 3.31 13.06 0.52 USA, Hawaii: Chinese 255 79.2 5.44 10.76 0.87 USA, Hawaii: Filipino 610 82.4 3.69 9.70 0.59 USA, Hawaii: Hawaiian 251 53.7 3.46 7.41 0.56 USA, Hawaii: Japanese 1049 62.1 2.11 8.10 0.33

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsTestis (C62)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 38 0.7 0.12 0.06 0.01 *France, La Reunion 5 0.7 0.30 0.05 0.02 *The Gambia 2 0.3 0.24 - - *Mali, Bamako 4 0.6 0.36 0.08 0.05 *Uganda, Kyadondo County 6 0.5 0.29 0.06 0.04 *Zimbabwe, Harare: African 12 0.4 0.16 0.05 0.02

America, Central and South*Argentina, Bahia Blanca 35 3.6 0.61 0.29 0.05 *Argentina, Concordia 7 2.2 0.83 0.22 0.09 *Brazil, Campinas 36 1.4 0.25 0.10 0.02 *Brazil, Goiania 10 0.5 0.17 0.04 0.01 Colombia, Cali 82 1.9 0.23 0.15 0.02 *Costa Rica 78 2.0 0.23 0.14 0.02 *Cuba, Villa Clara 16 1.0 0.26 0.09 0.02 *Ecuador, Quito 123 3.5 0.33 0.27 0.03 *France, Martinique 8 1.0 0.36 0.06 0.02 *USA, Puerto Rico 56 1.5 0.21 0.11 0.02 *Uruguay, Montevideo 148 7.3 0.61 0.59 0.05

America, North Canada 3551 4.2 0.07 0.32 0.01 Canada, Alberta 365 4.3 0.23 0.33 0.02 Canada, British Columbia 561 5.0 0.22 0.39 0.02 Canada, Manitoba 132 4.2 0.38 0.32 0.03 Canada, New Brunswick 61 2.8 0.37 0.22 0.03 Canada, Newfoundland 51 3.2 0.46 0.23 0.03 Canada, Northwest Territories 19 3.3 0.78 0.27 0.07 Canada, Nova Scotia 116 4.4 0.42 0.35 0.03 Canada, Ontario 1411 4.4 0.12 0.34 0.01 Canada, Prince Edward Island 11 2.9 0.90 0.23 0.07 +Canada, Quebec 702 3.5 0.14 0.25 0.01 Canada, Saskatchewan 132 4.9 0.44 0.39 0.04 Canada, Yukon 18 6.1 1.50 0.47 0.11 USA, California, Los Angeles: Non-Hispanic White 644 5.7 0.25 0.44 0.02 USA, California, Los Angeles: Hispanic White 331 3.1 0.19 0.24 0.02 USA, California, Los Angeles: Black 41 1.4 0.23 0.11 0.02 USA, California, Los Angeles: Chinese 11 1.0 0.31 0.08 0.02 USA, California, Los Angeles: Filipino 6 0.8 0.36 0.05 0.02 USA, California, Los Angeles: Japanese 11 2.3 0.74 0.21 0.07 USA, California, Los Angeles: Korean 3 0.6 0.33 0.04 0.02 USA, California, San Francisco: Non-Hispanic White 394 6.4 0.35 0.50 0.03 USA, California, San Francisco: Hispanic White 64 3.7 0.49 0.28 0.04 USA, California, San Francisco: Black 14 0.9 0.25 0.08 0.02 USA, Connecticut: White 433 5.4 0.27 0.42 0.02 USA, Connecticut: Black 4 0.5 0.27 0.03 0.02 USA, Georgia, Atlanta: White 227 4.6 0.32 0.35 0.02 USA, Georgia, Atlanta: Black 27 1.2 0.24 0.10 0.03 USA, Iowa 359 4.9 0.27 0.38 0.02 USA, Louisiana, Central Region: White 22 3.7 0.79 0.30 0.06 USA, Louisiana, Central Region: Black 1 0.5 0.46 0.03 0.03 USA, Louisiana, New Orleans: White 73 4.6 0.55 0.35 0.04 USA, Louisiana, New Orleans: Black 15 1.6 0.42 0.12 0.03 USA, Michigan, Detroit: White 474 5.6 0.27 0.44 0.02 USA, Michigan, Detroit: Black 31 1.4 0.25 0.09 0.02 USA, New Jersey: White 980 5.5 0.18 0.42 0.01 USA, New Jersey: Black 31 1.0 0.18 0.09 0.02 USA, New Mexico: Non-Hispanic White 135 6.1 0.55 0.47 0.04 USA, New Mexico: Hispanic White 63 4.0 0.51 0.29 0.04 USA, New Mexico: American Indian 12 3.3 1.01 0.26 0.09 USA, New York State: White 2006 5.2 0.12 0.40 0.01 USA, New York State: Black 66 0.8 0.10 0.06 0.01 USA, Utah 291 5.5 0.33 0.42 0.03 USA, Washington, Seattle 643 5.8 0.24 0.45 0.02 USA, SEER: White 3109 5.6 0.10 0.43 0.01 USA, SEER: Black 80 1.0 0.12 0.08 0.01

Asia*China, Beijing 28 0.4 0.08 0.03 0.01

+*China, Changle *China, Cixian *China, Hong Kong 302 1.7 0.11 0.14 0.01 *China, Jiashan 5 0.4 0.18 0.03 0.01

+*China, Qidong County 5 0.2 0.08 0.01 0.01 +*China, Shanghai 138 0.7 0.07 0.06 0.01

*China, Taiwan 59 0.6 0.08 0.03 0.00 *China, Tianjin 39 0.3 0.06 0.03 0.01 +China, Wuhan 43 0.4 0.06 0.03 0.01

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rates and standard errorsTestis (C62) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 97 0.9 0.10 0.08 0.01 *India, Bangalore 71 0.6 0.07 0.05 0.01 India, Chennai (Madras) 73 0.7 0.09 0.06 0.01 *India, Delhi 167 0.8 0.07 0.08 0.01 *India, Karunagappally 3 0.2 0.14 0.01 0.01 India, Mumbai (Bombay) 227 0.8 0.06 0.07 0.01 *India, Nagpur 47 2.0 0.31 0.18 0.03 *India, Poona 37 0.6 0.10 0.06 0.01 *India, Trivandrum 13 0.4 0.12 0.03 0.01 Israel: Jews 377 3.3 0.17 0.26 0.01 Israel: Jews born in Israel 245 3.4 0.24 0.26 0.02 Israel: Jews born in Europe or America 113 4.0 0.40 0.32 0.03 Israel: Jews born in Africa or Asia 19 0.7 0.18 0.06 0.02 Israel: Non-Jews 28 1.1 0.23 0.09 0.02 Japan, Hiroshima 60 1.9 0.25 0.15 0.02 *Japan, Miyagi Prefecture 99 1.7 0.18 0.13 0.01 *Japan, Nagasaki Prefecture 39 1.2 0.21 0.08 0.01 *Japan, Osaka Prefecture 291 1.2 0.08 0.10 0.01 *Japan, Saga Prefecture 26 1.3 0.26 0.09 0.02 *Japan, Yamagata Prefecture 28 1.0 0.19 0.07 0.01 *Korea, Busan 22 0.6 0.13 0.03 0.01 *Korea, Daegu 8 0.4 0.15 0.02 0.01 *Korea, Kangwha County 1 0.4 0.45 0.05 0.05 *Korea, Seoul 119 0.5 0.05 0.03 0.00 *Kuwait: Kuwaitis 12 1.0 0.31 0.05 0.02 *Kuwait: Non-Kuwaitis 26 0.6 0.15 0.05 0.01 *Oman: Omani 15 0.6 0.16 0.05 0.02 *Pakistan, South Karachi 16 0.7 0.18 0.07 0.02 *Philippines, Manila 108 1.0 0.11 0.09 0.02 *Philippines, Rizal 64 0.6 0.09 0.07 0.01 Singapore: Chinese 64 1.0 0.13 0.09 0.01 Singapore: Indian 6 1.1 0.46 0.07 0.03 Singapore: Malay 15 1.4 0.39 0.11 0.03 *Thailand, Bangkok 32 0.4 0.07 0.03 0.01 *Thailand, Chiang Mai 19 0.5 0.12 0.04 0.01 *Thailand, Khon Kaen 29 0.7 0.13 0.07 0.02 *Thailand, Lampang 17 0.8 0.19 0.08 0.02 *Thailand, Songkhla 3 0.1 0.09 0.01 0.01 *Viet Nam, Hanoi 39 0.9 0.14 - - *Viet Nam, Ho Chi Minh City 48 0.6 0.09 0.05 0.01

Europe Austria, Tyrol 148 7.5 0.64 0.57 0.05 Austria, Vorarlberg 59 5.8 0.77 0.44 0.06

+*Belarus 395 1.5 0.08 0.12 0.01 *Belgium, Flanders, (excl. Limburg) 173 3.2 0.26 0.24 0.02 *Belgium, Limburg 25 3.0 0.62 0.21 0.04 *Croatia 341 2.9 0.16 0.21 0.01 Czech Republic 1729 6.2 0.15 0.47 0.01 Denmark 1481 9.9 0.26 0.77 0.02 Estonia 86 2.2 0.24 0.19 0.02 Finland 363 2.7 0.15 0.21 0.01 France, Bas-Rhin 228 7.9 0.53 0.61 0.04 *France, Calvados 58 3.5 0.48 0.26 0.03 France, Cote d’Or France, Doubs 66 4.9 0.60 0.38 0.05 France, Haut-Rhin 141 7.1 0.61 0.57 0.05 *France, Herault 72 3.2 0.39 0.25 0.03 France, Isere 130 4.3 0.38 0.34 0.03 *France, Manche 36 3.7 0.63 0.27 0.05 *France, Somme 60 3.9 0.52 0.32 0.04 France, Tarn 34 3.9 0.68 0.31 0.05 Germany, Saarland 219 6.9 0.49 0.53 0.04 Iceland 43 5.8 0.90 0.46 0.07 Ireland 337 4.4 0.24 0.33 0.02 Italy, Biella Province 12 3.9 1.22 0.29 0.09 Italy, Ferrara Province 28 2.8 0.55 0.22 0.04 *Italy, Florence 112 3.3 0.34 0.27 0.03 Italy, Genoa Province 85 4.5 0.53 0.34 0.04 Italy, Liguria Italy, Macerata Province 31 4.0 0.74 0.31 0.06 Italy, Modena Province 82 4.4 0.51 0.36 0.04 Italy, North East 140 3.9 0.34 0.29 0.03

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rates and standard errorsTestis (C62) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 40 3.9 0.66 0.29 0.05 *Italy, Ragusa Province 13 1.7 0.47 0.12 0.03 Italy, Romagna 105 4.1 0.44 0.31 0.03 Italy, Sassari 41 2.9 0.47 0.24 0.04 Italy, Torino 102 4.0 0.42 0.30 0.03 Italy, Umbria 55 3.9 0.55 0.31 0.04 Italy, Varese Province 95 3.9 0.40 0.31 0.03 Italy, Venetian Region 177 4.0 0.31 0.31 0.02 *Latvia 129 1.9 0.17 0.16 0.02 Lithuania 156 1.6 0.13 0.13 0.01 Malta 29 2.8 0.54 0.22 0.04 The Netherlands 2106 4.7 0.10 0.36 0.01 The Netherlands, Eindhoven 128 4.4 0.40 0.35 0.03 The Netherlands, Maastricht 127 5.3 0.50 0.42 0.04 Norway 982 8.2 0.27 0.63 0.02 *Poland, Cracow 67 3.3 0.41 0.27 0.04 *Poland, Kielce 57 2.2 0.30 0.18 0.03 *Poland, Lower Silesia 245 3.1 0.21 0.25 0.02 Poland, Warsaw City 171 4.2 0.34 0.32 0.03 *Portugal, Vila Nova de Gaia 7 0.8 0.31 0.06 0.02 *Russia, St Petersburg 185 1.8 0.14 0.15 0.01 Slovakia 760 5.2 0.19 0.39 0.01 Slovenia 323 5.8 0.33 0.44 0.02 Spain, Albacete 27 3.0 0.57 0.20 0.04 Spain, Asturias 49 2.1 0.31 0.16 0.02 *Spain, Canary Islands 28 1.2 0.23 0.11 0.02 Spain, Cuenca 9 1.7 0.59 0.14 0.05 Spain, Girona 19 2.3 0.53 0.18 0.04 Spain, Granada 39 1.8 0.30 0.12 0.02 Spain, Mallorca 47 3.5 0.52 0.26 0.04 Spain, Murcia 51 2.2 0.32 0.15 0.02 Spain, Navarra 24 1.6 0.33 0.12 0.02 Spain, Tarragona 31 2.0 0.36 0.15 0.03 *Spain, Zaragoza 45 2.2 0.38 0.15 0.02 Sweden 1148 5.0 0.15 0.38 0.01 Switzerland, Basel 107 8.4 0.85 0.67 0.07 Switzerland, Geneva 74 6.5 0.78 0.50 0.06 Switzerland, Graubunden and Glarus 45 7.1 1.10 0.55 0.08 Switzerland, Neuchatel 24 6.5 1.37 0.47 0.10 Switzerland, St Gall-Appenzell 138 9.4 0.82 0.72 0.06 *Switzerland, Ticino 24 6.9 1.43 0.56 0.12 Switzerland, Valais 58 7.4 0.99 0.56 0.08 Switzerland, Vaud 127 9.6 0.88 0.73 0.07 Switzerland, Zurich 283 10.1 0.62 0.80 0.05 *UK, England 6976 5.1 0.06 0.40 0.00 UK, England, East Anglia 323 5.5 0.31 0.44 0.02 UK, England, Merseyside and Cheshire 342 5.2 0.29 0.41 0.02 UK, England, North Western 584 5.3 0.22 0.41 0.02 UK, England, Oxford Region 457 6.0 0.28 0.47 0.02 *UK, England, South Thames 1031 5.3 0.17 0.42 0.01 *UK, England, South and Western Regions 1084 6.1 0.19 0.48 0.01 UK, England, Trent 625 4.7 0.19 0.37 0.01 *UK, England, West Midlands Region 785 5.3 0.19 0.41 0.02 UK, England, Yorkshire 502 5.0 0.23 0.39 0.02 UK, Northern Ireland 247 5.6 0.36 0.43 0.03 UK, Scotland 875 6.1 0.21 0.48 0.02 *Yugoslavia, Vojvodina 162 3.0 0.25 0.24 0.02

Oceania Australia, Capital Territory 56 6.1 0.82 0.47 0.07 Australia, New South Wales 887 5.1 0.17 0.40 0.01 Australia, Northern Territory 22 4.0 0.87 0.29 0.07 Australia, Queensland 482 5.4 0.25 0.42 0.02 Australia, South 228 5.5 0.37 0.43 0.03 Australia, Tasmania 72 5.5 0.66 0.47 0.06 Australia, Victoria 670 5.3 0.21 0.40 0.02 Australia, Western 249 5.0 0.32 0.40 0.03 New Zealand 588 5.8 0.24 0.46 0.02 USA, Hawaii: White 75 7.1 0.86 0.51 0.06 USA, Hawaii: Chinese 7 3.8 1.44 0.30 0.11 USA, Hawaii: Filipino 4 0.8 0.39 0.07 0.03 USA, Hawaii: Hawaiian 24 4.2 0.87 0.30 0.06 USA, Hawaii: Japanese 17 2.2 0.57 0.17 0.04

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rates and standard errorsOther male genital organs (C63)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers *France, La Reunion 1 0.2 0.19 0.02 0.02 *The Gambia 1 0.2 0.24 - - *Mali, Bamako 0 - - - - *Uganda, Kyadondo County 4 0.4 0.26 0.07 0.05 *Zimbabwe, Harare: African 1 - - - -

America, Central and South*Argentina, Bahia Blanca 1 0.1 0.08 - - *Argentina, Concordia 0 - - - - *Brazil, Campinas 0 - - - - *Brazil, Goiania 4 0.4 0.18 0.03 0.03 Colombia, Cali 2 0.1 0.05 0.00 0.00 *Costa Rica 3 0.1 0.05 0.00 0.00 *Cuba, Villa Clara 4 0.2 0.12 0.02 0.01 *Ecuador, Quito 1 0.1 0.07 0.01 0.01 *France, Martinique 2 0.2 0.14 0.04 0.03 *USA, Puerto Rico 4 0.1 0.05 0.01 0.01 *Uruguay, Montevideo 3 0.1 0.06 0.02 0.01

America, North Canada 181 0.2 0.01 0.02 0.00 Canada, Alberta 8 0.1 0.04 0.01 0.01 Canada, British Columbia 19 0.1 0.03 0.02 0.00 Canada, Manitoba 9 0.2 0.08 0.03 0.01 Canada, New Brunswick 5 0.2 0.10 0.03 0.01 Canada, Newfoundland 3 0.1 0.07 0.00 0.00 Canada, Northwest Territories 0 - - - - Canada, Nova Scotia 3 0.1 0.06 0.02 0.01 Canada, Ontario 100 0.3 0.03 0.03 0.00 Canada, Prince Edward Island 0 - - - - +Canada, Quebec 30 0.1 0.02 0.01 0.00 Canada, Saskatchewan 4 0.1 0.08 0.02 0.01 Canada, Yukon 0 - - - - USA, California, Los Angeles: Non-Hispanic White 30 0.3 0.06 0.03 0.01 USA, California, Los Angeles: Hispanic White 16 0.3 0.09 0.04 0.01 USA, California, Los Angeles: Black 5 0.2 0.08 0.02 0.01 USA, California, Los Angeles: Chinese 2 0.3 0.18 0.04 0.03 USA, California, Los Angeles: Filipino 2 0.3 0.24 0.04 0.04 USA, California, Los Angeles: Japanese 2 0.3 0.24 0.05 0.03 USA, California, Los Angeles: Korean 1 0.2 0.22 - - USA, California, San Francisco: Non-Hispanic White 10 0.1 0.05 0.02 0.01 USA, California, San Francisco: Hispanic White 0 - - - - USA, California, San Francisco: Black 3 0.2 0.12 0.02 0.02 USA, Connecticut: White 14 0.1 0.04 0.02 0.01 USA, Connecticut: Black 3 0.5 0.29 0.05 0.03 USA, Georgia, Atlanta: White 5 0.1 0.06 0.01 0.01 USA, Georgia, Atlanta: Black 2 0.2 0.11 0.01 0.01 USA, Iowa 19 0.2 0.04 0.02 0.01 USA, Louisiana, Central Region: White 0 - - - - USA, Louisiana, Central Region: Black 0 - - - - USA, Louisiana, New Orleans: White 0 - - - - USA, Louisiana, New Orleans: Black 2 0.3 0.19 0.03 0.02 USA, Michigan, Detroit: White 19 0.2 0.04 0.02 0.01 USA, Michigan, Detroit: Black 5 0.2 0.09 0.02 0.01 USA, New Jersey: White 41 0.2 0.03 0.02 0.00 USA, New Jersey: Black 3 0.1 0.07 0.01 0.01 USA, New Mexico: Non-Hispanic White 10 0.4 0.12 0.04 0.01 USA, New Mexico: Hispanic White 1 0.1 0.05 - - USA, New Mexico: American Indian 0 - - - - USA, New York State: White 73 0.2 0.02 0.02 0.00 USA, New York State: Black 5 0.1 0.02 0.00 0.00 USA, Utah 10 0.2 0.07 0.03 0.01 USA, Washington, Seattle 34 0.3 0.05 0.03 0.01 USA, SEER: White 119 0.2 0.02 0.02 0.00 USA, SEER: Black 14 0.2 0.06 0.02 0.01

Asia*China, Beijing 8 0.1 0.04 0.01 0.00

+*China, Changle *China, Cixian *China, Hong Kong *China, Jiashan 0 - - - -

+*China, Qidong County 0 - - - - +*China, Shanghai 51 0.2 0.02 0.02 0.00

*China, Taiwan 21 0.2 0.04 0.02 0.01 *China, Tianjin 13 0.1 0.03 0.01 0.00 +China, Wuhan 14 0.1 0.04 0.02 0.01

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rates and standard errorsOther male genital organs (C63) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 2 0.0 0.03 0.00 0.00 *India, Bangalore 20 0.2 0.05 0.03 0.01 India, Chennai (Madras) 10 0.1 0.05 0.02 0.01 *India, Delhi 8 0.1 0.02 0.01 0.00 *India, Karunagappally 0 - - - - India, Mumbai (Bombay) 21 0.1 0.03 0.02 0.00 *India, Nagpur 2 0.1 0.09 0.02 0.01 *India, Poona 2 0.0 0.03 0.00 0.00 *India, Trivandrum 0 - - - - Israel: Jews 10 0.1 0.03 0.01 0.00 Israel: Jews born in Israel 3 0.1 0.07 0.01 0.01 Israel: Jews born in Europe or America 6 0.1 0.03 0.01 0.00 Israel: Jews born in Africa or Asia 1 0.0 0.02 0.01 0.01 Israel: Non-Jews 0 - - - - Japan, Hiroshima 9 0.2 0.08 0.02 0.01 *Japan, Miyagi Prefecture 15 0.2 0.05 0.02 0.01 *Japan, Nagasaki Prefecture 21 0.3 0.06 0.03 0.01 *Japan, Osaka Prefecture 37 0.1 0.02 0.02 0.00 *Japan, Saga Prefecture 3 0.1 0.05 0.01 0.01 *Japan, Yamagata Prefecture 2 0.0 0.02 0.01 0.01 *Korea, Busan 4 0.2 0.09 0.02 0.01 *Korea, Daegu 6 0.4 0.18 0.04 0.02 *Korea, Kangwha County 0 - - - - *Korea, Seoul 25 0.2 0.04 0.02 0.01 *Kuwait: Kuwaitis 3 0.4 0.26 0.05 0.04 *Kuwait: Non-Kuwaitis 1 0.5 0.47 0.12 0.12 *Oman: Omani 0 - - - - *Pakistan, South Karachi 0 - - - - *Philippines, Manila 5 0.1 0.04 0.01 0.01 *Philippines, Rizal 8 0.2 0.06 0.03 0.01 Singapore: Chinese 18 0.3 0.08 0.04 0.01 Singapore: Indian 0 - - - - Singapore: Malay 1 0.1 0.12 - - *Thailand, Bangkok 6 0.1 0.04 0.01 0.01 *Thailand, Chiang Mai 2 0.1 0.04 0.00 0.00 *Thailand, Khon Kaen 3 0.1 0.05 0.00 0.00 *Thailand, Lampang 2 0.1 0.07 0.01 0.01 *Thailand, Songkhla 2 0.1 0.07 0.00 0.00 *Viet Nam, Hanoi 3 0.1 0.04 - - *Viet Nam, Ho Chi Minh City 2 0.0 0.03 0.01 0.01

Europe Austria, Tyrol 3 0.1 0.08 0.01 0.01 Austria, Vorarlberg 2 0.2 0.14 0.02 0.02

+*Belarus 10 0.0 0.01 0.01 0.00 *Belgium, Flanders, (excl. Limburg) 10 0.1 0.05 0.01 0.00 *Belgium, Limburg 3 0.3 0.15 0.02 0.02 *Croatia 28 0.2 0.04 0.02 0.00 Czech Republic 54 0.2 0.02 0.02 0.00 Denmark 28 0.2 0.03 0.02 0.00 Estonia 6 0.1 0.06 0.01 0.01 Finland 19 0.1 0.03 0.01 0.00 France, Bas-Rhin 1 0.0 0.03 0.00 0.00 *France, Calvados 1 0.1 0.07 0.01 0.01 France, Cote d’Or France, Doubs 3 0.2 0.10 0.02 0.02 France, Haut-Rhin 3 0.1 0.08 0.00 0.00 *France, Herault 4 0.1 0.05 0.01 0.01 France, Isere 8 0.2 0.09 0.04 0.01 *France, Manche 5 0.4 0.19 0.05 0.02 *France, Somme 3 0.2 0.10 0.02 0.01 France, Tarn 0 - - - - Germany, Saarland 12 0.3 0.09 0.04 0.01 Iceland 3 0.3 0.17 0.05 0.04 Ireland 9 0.1 0.03 0.01 0.00 Italy, Biella Province 3 0.6 0.37 0.06 0.04 Italy, Ferrara Province 4 0.2 0.12 0.02 0.01 *Italy, Florence 13 0.4 0.15 0.04 0.01 Italy, Genoa Province 8 0.2 0.12 0.02 0.01 Italy, Liguria Italy, Macerata Province 1 0.0 0.05 - - Italy, Modena Province 8 0.3 0.11 0.03 0.01 Italy, North East 17 0.3 0.07 0.03 0.01

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rates and standard errorsOther male genital organs (C63) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 1 0.1 0.06 0.01 0.01 *Italy, Ragusa Province 0 - - - - Italy, Romagna 9 0.2 0.06 0.02 0.01 Italy, Sassari 3 0.2 0.14 0.02 0.01 Italy, Torino 4 0.1 0.05 0.01 0.01 Italy, Umbria 5 0.4 0.21 0.03 0.02 Italy, Varese Province 2 0.1 0.10 0.01 0.01 Italy, Venetian Region 8 0.2 0.06 0.02 0.01 *Latvia 19 0.3 0.06 0.03 0.01 Lithuania 26 0.2 0.05 0.03 0.01 Malta 1 0.1 0.10 0.02 0.02 The Netherlands 68 0.1 0.02 0.01 0.00 The Netherlands, Eindhoven 5 0.1 0.06 0.02 0.01 The Netherlands, Maastricht 4 0.1 0.06 0.02 0.01 Norway 45 0.2 0.04 0.03 0.01 *Poland, Cracow 4 0.2 0.08 0.02 0.01 *Poland, Kielce 8 0.3 0.10 0.02 0.01 *Poland, Lower Silesia 8 0.1 0.04 0.02 0.01 Poland, Warsaw City 4 0.1 0.04 0.00 0.00 *Portugal, Vila Nova de Gaia 0 - - - - *Russia, St Petersburg 27 0.3 0.05 0.03 0.01 Slovakia 35 0.2 0.04 0.03 0.01 Slovenia 13 0.2 0.07 0.02 0.01 Spain, Albacete 1 0.0 0.04 - - Spain, Asturias 12 0.3 0.10 0.05 0.02 *Spain, Canary Islands 3 0.1 0.08 0.02 0.01 Spain, Cuenca 1 0.1 0.07 0.02 0.02 Spain, Girona 0 - - - - Spain, Granada 2 0.1 0.06 0.00 0.00 Spain, Mallorca 1 0.1 0.06 0.01 0.01 Spain, Murcia 3 0.1 0.08 0.01 0.01 Spain, Navarra 5 0.4 0.20 0.03 0.02 Spain, Tarragona 4 0.2 0.09 0.01 0.01 *Spain, Zaragoza 7 0.2 0.06 0.01 0.01 Sweden 30 0.1 0.01 0.01 0.00 Switzerland, Basel 3 0.2 0.09 0.02 0.01 Switzerland, Geneva 1 0.0 0.03 - - Switzerland, Graubunden and Glarus 1 0.3 0.27 0.01 0.01 Switzerland, Neuchatel 0 - - - - Switzerland, St Gall-Appenzell 1 0.0 0.04 - - *Switzerland, Ticino 1 0.1 0.13 - - Switzerland, Valais 1 0.1 0.09 - - Switzerland, Vaud 4 0.2 0.10 0.02 0.02 Switzerland, Zurich 10 0.3 0.09 0.04 0.02 *UK, England 331 0.2 0.01 0.02 0.00 UK, England, East Anglia 12 0.1 0.04 0.02 0.01 UK, England, Merseyside and Cheshire 11 0.1 0.04 0.01 0.01 UK, England, North Western 32 0.2 0.04 0.02 0.00 UK, England, Oxford Region 8 0.1 0.03 0.01 0.00 *UK, England, South Thames 19 0.1 0.02 0.01 0.00 *UK, England, South and Western Regions 131 0.4 0.04 0.04 0.01 UK, England, Trent 25 0.1 0.03 0.01 0.00 *UK, England, West Midlands Region 39 0.2 0.03 0.02 0.00 UK, England, Yorkshire 20 0.1 0.03 0.01 0.00 UK, Northern Ireland 12 0.2 0.06 0.02 0.01 UK, Scotland 29 0.2 0.03 0.02 0.00 *Yugoslavia, Vojvodina 17 0.2 0.06 0.03 0.01

Oceania Australia, Capital Territory 1 0.1 0.10 0.01 0.01 Australia, New South Wales 35 0.2 0.03 0.02 0.00 Australia, Northern Territory 0 - - - - Australia, Queensland 15 0.1 0.04 0.01 0.00 Australia, South 6 0.1 0.04 0.01 0.01 Australia, Tasmania 1 0.0 0.04 - - Australia, Victoria 29 0.2 0.03 0.02 0.01 Australia, Western 10 0.2 0.06 0.03 0.01 New Zealand 13 0.1 0.03 0.01 0.00 USA, Hawaii: White 6 0.6 0.27 0.06 0.03 USA, Hawaii: Chinese 2 0.5 0.35 0.07 0.07 USA, Hawaii: Filipino 3 0.5 0.32 0.09 0.05 USA, Hawaii: Hawaiian 2 0.5 0.33 0.08 0.06 USA, Hawaii: Japanese 4 0.3 0.13 0.05 0.03

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rates and standard errorsKidney (C64)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers *France, La Reunion 12 2.4 0.70 0.25 0.08 10 1.5 0.48 0.11 0.04*The Gambia 3 0.4 0.25 - - 6 1.0 0.51 - - *Mali, Bamako 8 0.9 0.41 0.09 0.05 11 1.7 0.61 0.24 0.10*Uganda, Kyadondo County 21 1.0 0.33 0.10 0.05 17 1.1 0.37 0.10 0.04*Zimbabwe, Harare: African 26 1.1 0.27 0.11 0.05 28 1.6 0.41 0.17 0.06

America, Central and South*Argentina, Bahia Blanca 63 6.1 0.78 0.77 0.11 43 3.0 0.49 0.35 0.06*Argentina, Concordia 14 4.6 1.23 0.73 0.22 10 2.6 0.84 0.37 0.13*Brazil, Campinas 51 3.3 0.47 0.42 0.07 26 1.4 0.27 0.12 0.03*Brazil, Goiania 47 3.9 0.58 0.40 0.08 42 2.8 0.44 0.28 0.06 Colombia, Cali 79 2.9 0.34 0.38 0.06 80 2.3 0.26 0.25 0.04*Costa Rica 72 2.9 0.35 0.36 0.05 62 2.3 0.30 0.24 0.04*Cuba, Villa Clara 41 2.7 0.43 0.32 0.06 26 1.8 0.37 0.19 0.04*Ecuador, Quito 50 2.3 0.35 0.25 0.05 38 1.5 0.25 0.16 0.03*France, Martinique 20 2.2 0.50 0.24 0.06 24 2.2 0.49 0.19 0.05*USA, Puerto Rico 154 4.2 0.35 0.49 0.05 104 2.5 0.25 0.30 0.03*Uruguay, Montevideo 324 13.4 0.77 1.67 0.10 177 5.2 0.43 0.62 0.05

America, North Canada 8715 9.5 0.10 1.13 0.01 5582 5.2 0.08 0.60 0.01 Canada, Alberta 787 10.4 0.38 1.27 0.05 455 5.5 0.27 0.66 0.04 Canada, British Columbia 1014 8.2 0.27 0.98 0.04 593 4.3 0.19 0.50 0.02 Canada, Manitoba 452 11.9 0.59 1.38 0.08 255 5.7 0.40 0.69 0.05 Canada, New Brunswick 279 12.0 0.74 1.42 0.10 212 7.7 0.58 0.89 0.07 Canada, Newfoundland 146 8.9 0.76 1.12 0.11 108 6.3 0.64 0.75 0.08 Canada, Northwest Territories 24 10.6 2.21 1.17 0.30 17 6.8 1.73 0.75 0.24 Canada, Nova Scotia 312 10.4 0.61 1.25 0.08 224 6.3 0.46 0.73 0.06 Canada, Ontario 3076 9.0 0.17 1.06 0.02 1965 5.0 0.12 0.57 0.02 Canada, Prince Edward Island 53 11.9 1.70 1.43 0.24 34 7.1 1.31 0.84 0.17+Canada, Quebec 2249 10.0 0.21 1.18 0.03 1515 5.4 0.15 0.60 0.02 Canada, Saskatchewan 331 9.8 0.58 1.13 0.07 215 5.7 0.44 0.68 0.06 Canada, Yukon 13 8.5 2.50 0.96 0.33 4 3.1 1.62 0.26 0.17 USA, California, Los Angeles: Non-Hispanic White 1129 8.4 0.27 0.98 0.03 638 4.4 0.20 0.50 0.02 USA, California, Los Angeles: Hispanic White 348 9.3 0.52 1.19 0.08 281 5.5 0.34 0.67 0.05 USA, California, Los Angeles: Black 242 10.5 0.69 1.30 0.09 153 4.9 0.42 0.56 0.05 USA, California, Los Angeles: Chinese 30 3.5 0.66 0.45 0.10 18 2.0 0.48 0.23 0.06 USA, California, Los Angeles: Filipino 38 6.2 1.04 0.73 0.15 23 2.5 0.53 0.27 0.07 USA, California, Los Angeles: Japanese 34 7.9 1.59 0.88 0.16 6 0.9 0.39 0.04 0.03 USA, California, Los Angeles: Korean 14 3.6 0.99 0.48 0.15 13 2.6 0.74 0.31 0.10 USA, California, San Francisco: Non-Hispanic White 655 8.9 0.37 1.07 0.05 395 4.4 0.26 0.53 0.03 USA, California, San Francisco: Hispanic White 101 9.7 0.99 1.15 0.14 57 4.2 0.59 0.51 0.08 USA, California, San Francisco: Black 106 9.1 0.91 1.07 0.13 72 5.1 0.63 0.52 0.08 USA, Connecticut: White 1054 10.6 0.35 1.28 0.05 635 5.0 0.23 0.58 0.03 USA, Connecticut: Black 61 10.6 1.37 1.23 0.18 53 6.9 0.97 0.75 0.13 USA, Georgia, Atlanta: White 382 9.4 0.50 1.16 0.07 206 4.4 0.33 0.54 0.04 USA, Georgia, Atlanta: Black 140 10.1 0.90 1.23 0.13 102 5.1 0.53 0.52 0.07 USA, Iowa 1001 10.4 0.35 1.21 0.05 689 5.5 0.24 0.65 0.03 USA, Louisiana, Central Region: White 71 10.3 1.29 1.17 0.16 52 6.1 0.91 0.77 0.12 USA, Louisiana, Central Region: Black 15 8.0 2.13 1.31 0.39 12 5.1 1.56 0.58 0.20 USA, Louisiana, New Orleans: White 207 10.3 0.74 1.21 0.10 181 7.0 0.60 0.82 0.07 USA, Louisiana, New Orleans: Black 94 11.9 1.24 1.43 0.17 91 7.9 0.86 0.98 0.13 USA, Michigan, Detroit: White 1072 11.0 0.35 1.36 0.05 698 5.7 0.24 0.68 0.03 USA, Michigan, Detroit: Black 320 13.7 0.79 1.60 0.10 224 6.8 0.48 0.83 0.07 USA, New Jersey: White 2405 10.8 0.23 1.29 0.03 1604 5.5 0.16 0.64 0.02 USA, New Jersey: Black 293 11.5 0.68 1.37 0.10 172 5.1 0.40 0.60 0.05 USA, New Mexico: Non-Hispanic White 252 8.3 0.56 0.99 0.07 155 4.7 0.43 0.48 0.05 USA, New Mexico: Hispanic White 143 10.1 0.86 1.19 0.11 95 5.3 0.57 0.64 0.08 USA, New Mexico: American Indian 46 18.8 2.86 2.40 0.45 27 9.4 1.85 1.27 0.28 USA, New York State: White 4893 10.3 0.15 1.25 0.02 3181 5.3 0.11 0.62 0.01 USA, New York State: Black 581 8.5 0.36 1.01 0.05 401 4.1 0.21 0.46 0.03 USA, Utah 273 5.8 0.36 0.69 0.05 197 3.6 0.28 0.41 0.04 USA, Washington, Seattle 1061 9.6 0.31 1.13 0.04 602 4.8 0.21 0.55 0.03 USA, SEER: White 5963 9.6 0.13 1.16 0.02 3690 4.9 0.09 0.57 0.01 USA, SEER: Black 704 12.1 0.47 1.42 0.06 493 6.4 0.30 0.72 0.04

Asia*China, Beijing 254 3.1 0.21 0.39 0.03 155 1.9 0.16 0.23 0.02

+*China, Changle *China, Cixian *China, Hong Kong *China, Jiashan 9 0.9 0.31 0.10 0.04 5 0.5 0.21 0.07 0.03

+*China, Qidong County 16 0.6 0.15 0.06 0.02 12 0.3 0.10 0.05 0.02+*China, Shanghai 647 2.6 0.11 0.31 0.01 349 1.5 0.10 0.17 0.01

*China, Taiwan 422 3.6 0.18 0.43 0.02 286 2.6 0.16 0.29 0.02*China, Tianjin 337 3.1 0.17 0.36 0.02 156 1.3 0.11 0.17 0.01+China, Wuhan 186 1.8 0.14 0.21 0.02 78 0.7 0.08 0.09 0.01

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rates and standard errorsKidney (C64) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 81 1.2 0.14 0.14 0.02 39 0.6 0.11 0.07 0.01*India, Bangalore 107 1.3 0.13 0.14 0.02 36 0.5 0.08 0.05 0.01 India, Chennai (Madras) 87 1.1 0.12 0.12 0.02 51 0.7 0.10 0.07 0.01*India, Delhi 271 2.1 0.13 0.25 0.02 131 1.1 0.10 0.12 0.01*India, Karunagappally 4 0.5 0.24 0.06 0.03 4 0.4 0.22 0.03 0.01 India, Mumbai (Bombay) 360 2.0 0.11 0.25 0.02 169 1.1 0.09 0.12 0.01*India, Nagpur 24 1.1 0.25 0.12 0.03 14 0.7 0.20 0.05 0.01*India, Poona 69 1.7 0.21 0.17 0.03 36 0.9 0.15 0.10 0.02*India, Trivandrum 27 1.2 0.24 0.14 0.03 10 0.4 0.13 0.05 0.02 Israel: Jews 1389 11.2 0.31 1.41 0.04 922 6.1 0.21 0.75 0.03 Israel: Jews born in Israel 201 8.7 0.75 1.13 0.12 110 4.1 0.49 0.56 0.09 Israel: Jews born in Europe or America 980 15.8 0.57 2.00 0.07 674 8.8 0.60 1.04 0.05 Israel: Jews born in Africa or Asia 208 5.4 0.38 0.69 0.05 138 3.8 0.50 0.45 0.05 Israel: Non-Jews 36 2.5 0.45 0.31 0.07 29 1.9 0.36 0.17 0.04 Japan, Hiroshima 191 5.4 0.40 0.62 0.05 84 1.9 0.23 0.22 0.03*Japan, Miyagi Prefecture 433 5.1 0.25 0.60 0.03 235 2.3 0.17 0.25 0.02*Japan, Nagasaki Prefecture 333 5.4 0.32 0.66 0.04 166 2.0 0.18 0.22 0.02*Japan, Osaka Prefecture 1337 4.4 0.12 0.49 0.02 571 1.5 0.07 0.16 0.01*Japan, Saga Prefecture 124 3.5 0.33 0.39 0.04 87 1.7 0.22 0.19 0.03*Japan, Yamagata Prefecture 216 3.6 0.25 0.45 0.04 104 1.2 0.14 0.14 0.02*Korea, Busan 155 5.4 0.49 0.69 0.07 65 1.7 0.22 0.19 0.03*Korea, Daegu 84 4.1 0.48 0.46 0.07 42 1.7 0.27 0.21 0.04*Korea, Kangwha County 2 0.8 0.56 0.08 0.08 1 0.3 0.35 0.04 0.04*Korea, Seoul 845 4.5 0.17 0.55 0.03 438 1.9 0.09 0.22 0.01*Kuwait: Kuwaitis 22 3.4 0.76 0.48 0.13 13 1.8 0.56 0.20 0.08*Kuwait: Non-Kuwaitis 22 1.6 0.56 0.23 0.12 8 1.6 0.76 0.13 0.09*Oman: Omani 25 1.1 0.24 0.11 0.03 30 1.1 0.23 0.14 0.04*Pakistan, South Karachi 25 1.6 0.34 0.19 0.05 11 0.9 0.27 0.09 0.03*Philippines, Manila 225 3.6 0.27 0.43 0.04 171 2.3 0.19 0.29 0.03*Philippines, Rizal 206 3.3 0.26 0.39 0.04 131 1.8 0.17 0.20 0.02 Singapore: Chinese 262 4.9 0.31 0.61 0.05 113 1.8 0.17 0.19 0.02 Singapore: Indian 17 2.8 0.69 0.33 0.08 5 1.4 0.62 0.15 0.08 Singapore: Malay 21 2.6 0.57 0.30 0.08 21 2.4 0.54 0.27 0.07*Thailand, Bangkok 87 1.4 0.15 0.16 0.02 53 0.7 0.11 0.08 0.01*Thailand, Chiang Mai 32 1.0 0.18 0.11 0.02 28 0.8 0.15 0.08 0.02*Thailand, Khon Kaen 35 1.1 0.19 0.14 0.03 24 0.7 0.14 0.06 0.02*Thailand, Lampang 16 0.8 0.22 0.10 0.03 10 0.6 0.19 0.05 0.02*Thailand, Songkhla 15 0.8 0.20 0.08 0.03 4 0.2 0.11 0.03 0.02*Viet Nam, Hanoi 19 0.4 0.10 - - 10 0.2 0.06 - - *Viet Nam, Ho Chi Minh City 71 1.2 0.15 0.12 0.02 55 0.7 0.09 0.07 0.01

Europe Austria, Tyrol 206 10.5 0.75 1.24 0.10 149 5.5 0.50 0.65 0.06 Austria, Vorarlberg 111 11.2 1.08 1.44 0.16 76 6.4 0.79 0.80 0.10

+*Belarus 2932 10.5 0.20 1.27 0.03 1970 5.0 0.12 0.59 0.01*Belgium, Flanders, (excl. Limburg) 596 7.2 0.31 0.89 0.04 470 4.8 0.26 0.52 0.03*Belgium, Limburg 108 9.6 0.93 1.16 0.13 76 6.1 0.73 0.79 0.10*Croatia 1063 7.2 0.22 0.91 0.03 724 3.7 0.15 0.44 0.02 Czech Republic 6687 20.0 0.25 2.47 0.03 4526 10.2 0.16 1.25 0.02 Denmark 1442 7.4 0.21 0.89 0.03 986 4.1 0.15 0.48 0.02 Estonia 603 14.1 0.58 1.74 0.08 545 7.9 0.37 0.99 0.05 Finland 1910 11.0 0.26 1.31 0.03 1505 6.2 0.18 0.71 0.02 France, Bas-Rhin 468 15.6 0.73 1.93 0.10 292 7.3 0.47 0.88 0.06*France, Calvados 198 9.7 0.71 1.18 0.09 133 5.0 0.47 0.64 0.06 France, Cote d’Or France, Doubs 136 8.7 0.76 1.08 0.10 74 3.7 0.48 0.46 0.06 France, Haut-Rhin 295 13.6 0.80 1.66 0.11 187 6.3 0.51 0.76 0.07*France, Herault 293 9.2 0.57 1.09 0.07 130 3.6 0.37 0.40 0.04 France, Isere 278 8.3 0.51 0.95 0.07 147 3.9 0.37 0.39 0.04*France, Manche 130 8.7 0.81 1.01 0.10 96 5.5 0.64 0.61 0.07*France, Somme 162 8.7 0.72 1.11 0.10 93 4.7 0.55 0.48 0.06 France, Tarn 91 5.9 0.67 0.72 0.09 80 4.7 0.63 0.55 0.07 Germany, Saarland 483 11.4 0.53 1.40 0.07 344 6.2 0.39 0.75 0.05 Iceland 121 14.8 1.40 1.74 0.19 73 7.3 0.94 0.85 0.13 Ireland 582 6.9 0.29 0.83 0.04 347 3.5 0.20 0.39 0.03 Italy, Biella Province 46 9.0 1.40 1.01 0.17 36 5.3 1.03 0.60 0.12 Italy, Ferrara Province 199 11.8 0.97 1.45 0.12 118 5.2 0.57 0.61 0.07*Italy, Florence 716 13.7 0.55 1.63 0.07 434 6.6 0.40 0.75 0.04 Italy, Genoa Province 360 10.2 0.59 1.27 0.07 172 3.6 0.37 0.40 0.04 Italy, Liguria Italy, Macerata Province 150 11.1 1.03 1.26 0.12 99 6.2 0.70 0.78 0.09 Italy, Modena Province 311 11.4 0.69 1.41 0.09 180 5.4 0.46 0.64 0.06 Italy, North East 561 10.8 0.48 1.29 0.06 329 5.1 0.35 0.60 0.04

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rates and standard errorsKidney (C64) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 204 11.3 0.88 1.32 0.11 121 4.8 0.52 0.57 0.07*Italy, Ragusa Province 54 5.6 0.85 0.58 0.09 25 2.4 0.54 0.24 0.05 Italy, Romagna 577 12.4 0.55 1.47 0.07 323 6.2 0.41 0.70 0.05 Italy, Sassari 122 7.4 0.69 0.90 0.09 59 2.9 0.44 0.35 0.06 Italy, Torino 399 10.3 0.56 1.23 0.07 203 3.7 0.31 0.47 0.04 Italy, Umbria 220 9.8 0.70 1.26 0.09 117 4.6 0.56 0.49 0.06 Italy, Varese Province 355 11.6 0.65 1.45 0.09 233 5.5 0.43 0.65 0.05 Italy, Venetian Region 692 11.7 0.46 1.49 0.06 379 5.0 0.31 0.59 0.04*Latvia 764 10.5 0.39 1.27 0.05 601 5.4 0.24 0.64 0.03 Lithuania 1049 10.2 0.32 1.30 0.05 799 5.3 0.20 0.67 0.03 Malta 76 6.9 0.80 0.83 0.11 46 3.9 0.62 0.42 0.07 The Netherlands 4205 8.2 0.13 0.98 0.02 2893 4.6 0.10 0.55 0.01 The Netherlands, Eindhoven 255 8.2 0.52 1.01 0.07 170 4.7 0.38 0.54 0.05 The Netherlands, Maastricht 266 8.4 0.53 1.02 0.07 183 5.0 0.43 0.59 0.05 Norway 1329 8.0 0.24 0.97 0.03 937 4.6 0.18 0.54 0.02*Poland, Cracow 262 11.6 0.72 1.56 0.11 153 4.9 0.43 0.61 0.06*Poland, Kielce 235 8.8 0.58 1.11 0.08 136 4.3 0.40 0.50 0.05*Poland, Lower Silesia 816 10.1 0.36 1.27 0.05 611 5.7 0.25 0.68 0.03 Poland, Warsaw City 669 12.2 0.49 1.49 0.06 459 5.9 0.31 0.70 0.04*Portugal, Vila Nova de Gaia 50 7.0 1.01 0.86 0.14 28 3.6 0.76 0.37 0.08*Russia, St Petersburg 993 9.5 0.31 1.14 0.04 1017 5.3 0.19 0.65 0.02 Slovakia 1805 12.5 0.30 1.51 0.04 1097 5.8 0.19 0.73 0.02 Slovenia 501 8.3 0.38 0.99 0.05 349 4.4 0.27 0.53 0.03 Spain, Albacete 74 6.0 0.75 0.74 0.10 42 2.6 0.43 0.32 0.06 Spain, Asturias 296 8.3 0.52 1.08 0.07 134 3.3 0.39 0.35 0.04*Spain, Canary Islands 82 3.6 0.40 0.44 0.06 50 1.9 0.29 0.21 0.03 Spain, Cuenca 40 4.8 0.87 0.49 0.09 30 2.5 0.54 0.32 0.07 Spain, Girona 90 7.5 0.86 0.98 0.11 41 2.6 0.47 0.29 0.06 Spain, Granada 156 6.0 0.50 0.71 0.06 91 3.2 0.37 0.34 0.04 Spain, Mallorca 108 6.2 0.63 0.75 0.08 40 1.8 0.31 0.21 0.04 Spain, Murcia 111 4.2 0.42 0.46 0.05 58 1.9 0.27 0.21 0.03 Spain, Navarra 163 7.4 0.61 0.99 0.09 93 4.0 0.53 0.43 0.06 Spain, Tarragona 130 6.0 0.58 0.68 0.07 62 2.6 0.40 0.27 0.04*Spain, Zaragoza 194 6.5 0.52 0.74 0.06 120 3.8 0.45 0.39 0.04 Sweden 2840 7.8 0.16 0.94 0.02 2108 4.8 0.12 0.58 0.02 Switzerland, Basel 170 9.5 0.78 1.10 0.10 102 4.4 0.54 0.48 0.06 Switzerland, Geneva 120 7.9 0.77 0.99 0.11 83 4.8 0.60 0.56 0.08 Switzerland, Graubunden and Glarus 71 9.0 1.12 1.06 0.15 34 3.5 0.77 0.37 0.08 Switzerland, Neuchatel 38 7.4 1.25 0.78 0.16 27 4.1 0.89 0.44 0.11 Switzerland, St Gall-Appenzell 153 9.2 0.77 1.16 0.11 83 4.2 0.53 0.42 0.06*Switzerland, Ticino 38 8.1 1.34 0.89 0.17 24 3.4 0.79 0.40 0.11 Switzerland, Valais 78 8.5 0.98 1.09 0.14 62 5.9 0.82 0.66 0.10 Switzerland, Vaud 134 8.1 0.72 0.97 0.10 88 4.5 0.55 0.56 0.07 Switzerland, Zurich 272 7.9 0.50 0.97 0.07 165 3.9 0.36 0.42 0.04*UK, England 12119 6.7 0.06 0.80 0.01 7349 3.3 0.04 0.37 0.01 UK, England, East Anglia 493 5.7 0.28 0.68 0.04 247 2.5 0.19 0.28 0.02 UK, England, Merseyside and Cheshire 606 7.0 0.30 0.82 0.04 399 3.6 0.21 0.41 0.03 UK, England, North Western 1074 7.5 0.24 0.91 0.03 676 3.8 0.17 0.45 0.02 UK, England, Oxford Region 607 7.0 0.29 0.79 0.04 371 3.6 0.21 0.41 0.03*UK, England, South Thames 1693 6.9 0.18 0.81 0.02 983 3.1 0.12 0.35 0.01*UK, England, South and Western Regions 1890 7.2 0.18 0.85 0.02 1105 3.7 0.13 0.41 0.02 UK, England, Trent 1229 6.6 0.20 0.77 0.03 788 3.6 0.15 0.43 0.02*UK, England, West Midlands Region 1365 7.0 0.20 0.83 0.03 752 3.2 0.14 0.36 0.02 UK, England, Yorkshire 929 6.9 0.24 0.82 0.03 657 3.9 0.18 0.43 0.02 UK, Northern Ireland 367 7.4 0.40 0.86 0.05 265 4.3 0.29 0.50 0.04 UK, Scotland 1439 7.9 0.22 0.95 0.03 1034 4.3 0.15 0.51 0.02*Yugoslavia, Vojvodina 276 3.8 0.23 0.45 0.03 193 2.3 0.18 0.27 0.02

Oceania Australia, Capital Territory 57 7.7 1.04 0.94 0.15 27 3.2 0.64 0.35 0.09 Australia, New South Wales 1751 8.7 0.21 1.06 0.03 1036 4.6 0.16 0.51 0.02 Australia, Northern Territory 28 8.9 1.83 1.06 0.26 11 4.3 1.39 0.44 0.18 Australia, Queensland 966 9.3 0.31 1.08 0.04 542 4.7 0.22 0.55 0.03 Australia, South 459 9.2 0.45 1.06 0.06 255 4.5 0.32 0.53 0.04 Australia, Tasmania 143 9.5 0.83 1.07 0.11 78 4.4 0.55 0.50 0.07 Australia, Victoria 1203 8.5 0.25 1.00 0.03 741 4.3 0.17 0.50 0.02 Australia, Western 330 6.6 0.37 0.80 0.05 219 3.9 0.28 0.45 0.04 New Zealand 960 8.6 0.29 0.97 0.04 584 4.5 0.20 0.51 0.03 USA, Hawaii: White 95 10.0 1.07 1.26 0.15 42 4.3 0.70 0.51 0.09 USA, Hawaii: Chinese 23 9.2 2.31 0.99 0.26 5 1.1 0.59 0.06 0.06 USA, Hawaii: Filipino 33 6.2 1.15 0.69 0.14 14 2.7 0.74 0.28 0.08 USA, Hawaii: Hawaiian 35 7.6 1.31 1.07 0.20 24 4.8 1.01 0.55 0.14 USA, Hawaii: Japanese 73 6.4 0.82 0.72 0.10 49 3.2 0.54 0.32 0.06

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rates and standard errorsRenal pelvis (C65)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers *France, La Reunion 1 0.2 0.19 0.02 0.02 0 - - - - *The Gambia 0 - - - - 0 - - - - *Mali, Bamako 0 - - - - 0 - - - - *Uganda, Kyadondo County 0 - - - - 0 - - - - *Zimbabwe, Harare: African 0 - - - - 0 - - - -

America, Central and South*Argentina, Bahia Blanca 0 - - - - 3 0.2 0.12 0.04 0.02*Argentina, Concordia 0 - - - - 1 0.3 0.29 0.05 0.05*Brazil, Campinas 1 0.1 0.07 0.02 0.02 0 - - - - *Brazil, Goiania 1 0.0 0.04 0.00 0.00 0 - - - - Colombia, Cali 1 0.0 0.03 0.00 0.00 3 0.1 0.04 0.00 0.00*Costa Rica 5 0.2 0.10 0.03 0.02 1 0.0 0.04 0.01 0.01*Cuba, Villa Clara 0 - - - - 0 - - - - *Ecuador, Quito 4 0.2 0.10 0.02 0.01 4 0.2 0.08 0.02 0.01*France, Martinique 0 - - - - 0 - - - - *USA, Puerto Rico 8 0.2 0.08 0.02 0.01 3 0.0 0.02 - - *Uruguay, Montevideo 2 0.1 0.04 0.01 0.01 2 0.1 0.04 0.01 0.01

America, North Canada 523 0.5 0.02 0.07 0.00 290 0.2 0.02 0.03 0.00 Canada, Alberta 45 0.6 0.09 0.07 0.01 41 0.4 0.07 0.05 0.01 Canada, British Columbia 75 0.5 0.06 0.07 0.01 36 0.2 0.04 0.03 0.01 Canada, Manitoba 32 0.7 0.13 0.09 0.02 17 0.4 0.11 0.03 0.01 Canada, New Brunswick 26 1.0 0.21 0.14 0.03 9 0.3 0.10 0.02 0.01 Canada, Newfoundland 11 0.6 0.19 0.07 0.03 6 0.3 0.14 0.03 0.01 Canada, Northwest Territories 1 0.3 0.31 0.03 0.03 0 - - - - Canada, Nova Scotia 25 0.8 0.17 0.12 0.03 11 0.2 0.06 0.02 0.01 Canada, Ontario 151 0.4 0.04 0.06 0.01 85 0.2 0.02 0.03 0.00 Canada, Prince Edward Island 3 0.7 0.40 0.08 0.05 2 0.3 0.24 0.04 0.04+Canada, Quebec 124 0.5 0.05 0.06 0.01 69 0.2 0.03 0.03 0.00 Canada, Saskatchewan 31 0.8 0.15 0.09 0.02 14 0.3 0.09 0.03 0.01 Canada, Yukon 0 - - - - 0 - - - - USA, California, Los Angeles: Non-Hispanic White 166 1.1 0.09 0.11 0.01 106 0.5 0.05 0.05 0.01 USA, California, Los Angeles: Hispanic White 33 0.9 0.17 0.08 0.02 22 0.5 0.10 0.05 0.02 USA, California, Los Angeles: Black 10 0.4 0.14 0.06 0.02 16 0.4 0.11 0.04 0.01 USA, California, Los Angeles: Chinese 6 0.6 0.25 0.07 0.04 6 0.6 0.25 0.08 0.04 USA, California, Los Angeles: Filipino 0 - - - - 1 0.1 0.12 0.02 0.02 USA, California, Los Angeles: Japanese 4 0.8 0.42 0.08 0.05 2 0.3 0.21 0.02 0.02 USA, California, Los Angeles: Korean 1 0.2 0.22 - - 4 0.5 0.27 0.04 0.04 USA, California, San Francisco: Non-Hispanic White 57 0.7 0.09 0.09 0.01 49 0.4 0.07 0.04 0.01 USA, California, San Francisco: Hispanic White 5 0.5 0.23 0.04 0.03 10 0.6 0.21 0.08 0.03 USA, California, San Francisco: Black 6 0.5 0.21 0.06 0.03 7 0.3 0.14 0.03 0.02 USA, Connecticut: White 76 0.7 0.09 0.08 0.01 60 0.4 0.06 0.04 0.01 USA, Connecticut: Black 0 - - - - 1 0.1 0.07 - - USA, Georgia, Atlanta: White 33 0.8 0.15 0.10 0.02 34 0.5 0.09 0.05 0.01 USA, Georgia, Atlanta: Black 9 0.7 0.25 0.08 0.04 5 0.3 0.14 0.04 0.02 USA, Iowa 67 0.6 0.08 0.07 0.01 50 0.3 0.05 0.04 0.01 USA, Louisiana, Central Region: White 5 0.4 0.17 - - 4 0.3 0.14 0.05 0.03 USA, Louisiana, Central Region: Black 2 0.7 0.48 0.03 0.03 2 0.8 0.61 0.05 0.05 USA, Louisiana, New Orleans: White 22 0.9 0.20 0.09 0.03 13 0.3 0.09 0.01 0.01 USA, Louisiana, New Orleans: Black 7 0.8 0.30 0.07 0.04 2 0.2 0.15 0.03 0.02 USA, Michigan, Detroit: White 89 0.8 0.09 0.10 0.01 95 0.6 0.07 0.08 0.01 USA, Michigan, Detroit: Black 16 0.7 0.18 0.08 0.02 15 0.4 0.12 0.04 0.02 USA, New Jersey: White 198 0.8 0.06 0.10 0.01 159 0.4 0.04 0.05 0.01 USA, New Jersey: Black 6 0.3 0.11 0.05 0.02 5 0.1 0.06 0.01 0.01 USA, New Mexico: Non-Hispanic White 22 0.7 0.15 0.08 0.02 11 0.2 0.07 0.02 0.01 USA, New Mexico: Hispanic White 5 0.3 0.14 0.03 0.02 8 0.4 0.16 0.04 0.02 USA, New Mexico: American Indian 1 0.4 0.45 0.06 0.06 0 - - - - USA, New York State: White 345 0.6 0.04 0.08 0.01 257 0.3 0.02 0.04 0.00 USA, New York State: Black 11 0.2 0.05 0.02 0.01 13 0.1 0.03 0.01 0.00 USA, Utah 33 0.7 0.12 0.08 0.02 19 0.3 0.08 0.05 0.01 USA, Washington, Seattle 93 0.8 0.08 0.09 0.01 88 0.5 0.06 0.06 0.01 USA, SEER: White 480 0.7 0.03 0.09 0.00 424 0.4 0.02 0.05 0.00 USA, SEER: Black 32 0.6 0.10 0.06 0.01 28 0.3 0.06 0.03 0.01

Asia*China, Beijing 38 0.4 0.08 0.06 0.01 31 0.3 0.06 0.05 0.01

+*China, Changle *China, Cixian *China, Hong Kong *China, Jiashan 1 0.1 0.09 0.01 0.01 1 0.1 0.11 0.01 0.01

+*China, Qidong County 2 0.1 0.05 0.01 0.01 2 0.1 0.04 0.01 0.01+*China, Shanghai 56 0.2 0.03 0.03 0.00 41 0.2 0.03 0.02 0.00

*China, Taiwan 88 0.8 0.08 0.10 0.01 74 0.7 0.08 0.09 0.01*China, Tianjin 46 0.4 0.06 0.05 0.01 24 0.2 0.04 0.03 0.01+China, Wuhan 4 0.0 0.02 0.00 0.00 5 0.0 0.02 0.01 0.00

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rates and standard errorsRenal pelvis (C65) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 0 - - - - 0 - - - - *India, Bangalore 1 0.0 0.01 - - 1 0.0 0.01 0.00 0.00 India, Chennai (Madras) 1 0.0 0.01 0.00 0.00 0 - - - - *India, Delhi 10 0.1 0.03 0.01 0.00 1 0.0 0.01 - - *India, Karunagappally 0 - - - - 0 - - - - India, Mumbai (Bombay) 7 0.0 0.01 0.01 0.00 2 0.0 0.01 0.00 0.00*India, Nagpur 0 - - - - 0 - - - - *India, Poona 1 0.0 0.03 - - 0 - - - - *India, Trivandrum 0 - - - - 1 0.0 0.04 0.01 0.01 Israel: Jews 66 0.5 0.06 0.06 0.01 29 0.2 0.04 0.02 0.01 Israel: Jews born in Israel 6 0.3 0.15 0.02 0.01 3 0.1 0.10 0.03 0.02 Israel: Jews born in Europe or America 38 0.5 0.09 0.06 0.01 18 0.2 0.06 0.02 0.01 Israel: Jews born in Africa or Asia 22 0.6 0.12 0.08 0.02 8 0.2 0.07 0.03 0.01 Israel: Non-Jews 3 0.2 0.12 0.02 0.02 1 0.1 0.08 0.02 0.02 Japan, Hiroshima 50 1.4 0.20 0.18 0.03 23 0.4 0.10 0.05 0.01*Japan, Miyagi Prefecture 88 1.0 0.11 0.13 0.02 32 0.2 0.05 0.02 0.01*Japan, Nagasaki Prefecture 74 1.1 0.13 0.14 0.02 32 0.3 0.06 0.04 0.01*Japan, Osaka Prefecture 255 0.8 0.05 0.10 0.01 103 0.2 0.02 0.03 0.00*Japan, Saga Prefecture 43 1.0 0.16 0.13 0.03 12 0.2 0.06 0.01 0.01*Japan, Yamagata Prefecture 48 0.8 0.11 0.09 0.02 20 0.2 0.05 0.02 0.01*Korea, Busan 20 0.8 0.18 0.13 0.04 4 0.1 0.05 0.02 0.01*Korea, Daegu 2 0.1 0.10 0.03 0.02 1 0.0 0.05 0.01 0.01*Korea, Kangwha County 0 - - - - 0 - - - - *Korea, Seoul 110 0.6 0.07 0.09 0.01 46 0.2 0.03 0.04 0.01*Kuwait: Kuwaitis 2 0.4 0.27 0.06 0.04 0 - - - - *Kuwait: Non-Kuwaitis 1 0.0 0.04 0.00 0.00 1 0.6 0.55 0.14 0.14*Oman: Omani 2 0.1 0.09 0.02 0.01 0 - - - - *Pakistan, South Karachi 5 0.3 0.16 0.04 0.02 1 0.1 0.11 0.01 0.01*Philippines, Manila 0 - - - - 1 0.0 0.02 0.00 0.00*Philippines, Rizal 3 0.1 0.04 0.01 0.00 2 0.0 0.02 0.01 0.01 Singapore: Chinese 25 0.5 0.10 0.06 0.02 13 0.2 0.06 0.04 0.01 Singapore: Indian 0 - - - - 1 0.3 0.27 0.03 0.03 Singapore: Malay 4 0.6 0.30 0.02 0.02 2 0.3 0.24 0.02 0.02*Thailand, Bangkok 17 0.3 0.07 0.04 0.01 12 0.2 0.05 0.02 0.01*Thailand, Chiang Mai 14 0.4 0.11 0.05 0.01 7 0.2 0.08 0.03 0.01*Thailand, Khon Kaen 8 0.2 0.09 0.03 0.01 2 0.0 0.03 0.00 0.00*Thailand, Lampang 15 0.8 0.20 0.10 0.03 5 0.3 0.12 0.03 0.01*Thailand, Songkhla 5 0.3 0.12 0.02 0.01 1 0.1 0.06 0.01 0.01*Viet Nam, Hanoi 0 - - - - 1 0.0 0.02 - - *Viet Nam, Ho Chi Minh City 0 - - - - 0 - - - -

Europe Austria, Tyrol 24 1.2 0.25 0.14 0.03 18 0.6 0.15 0.08 0.02 Austria, Vorarlberg 7 0.8 0.29 0.11 0.04 6 0.5 0.20 0.08 0.03

+*Belarus 29 0.1 0.02 0.01 0.00 13 0.0 0.01 0.00 0.00*Belgium, Flanders, (excl. Limburg) 22 0.3 0.07 0.03 0.01 24 0.2 0.05 0.03 0.01*Belgium, Limburg 3 0.3 0.15 - - 0 - - - - *Croatia 10 0.1 0.02 0.01 0.00 12 0.0 0.01 0.01 0.00 Czech Republic 276 0.8 0.05 0.10 0.01 263 0.6 0.04 0.07 0.01 Denmark 336 1.7 0.09 0.23 0.01 241 0.9 0.07 0.13 0.01 Estonia 18 0.4 0.10 0.05 0.02 7 0.1 0.03 0.01 0.00 Finland 111 0.6 0.06 0.07 0.01 83 0.3 0.04 0.04 0.01 France, Bas-Rhin 17 0.5 0.13 0.07 0.02 10 0.2 0.08 0.03 0.01*France, Calvados 5 0.2 0.10 0.02 0.01 0 - - - - France, Cote d’Or France, Doubs 5 0.3 0.14 0.03 0.02 4 0.1 0.08 0.01 0.01 France, Haut-Rhin 2 0.1 0.06 0.01 0.01 0 - - - - *France, Herault 30 0.8 0.15 0.09 0.02 22 0.5 0.12 0.05 0.02 France, Isere 20 0.6 0.13 0.06 0.02 1 0.0 0.03 0.00 0.00*France, Manche 8 0.4 0.16 0.08 0.03 7 0.3 0.13 0.03 0.02*France, Somme 8 0.4 0.13 0.06 0.02 6 0.3 0.11 0.04 0.02 France, Tarn 16 0.9 0.24 0.12 0.04 7 0.3 0.13 0.03 0.02 Germany, Saarland 26 0.6 0.11 0.08 0.02 10 0.1 0.05 0.02 0.01 Iceland 7 0.9 0.34 0.10 0.05 8 0.8 0.30 0.10 0.05 Ireland 30 0.3 0.06 0.03 0.01 16 0.1 0.03 0.02 0.01 Italy, Biella Province 7 1.2 0.47 0.14 0.06 4 0.4 0.22 0.05 0.03 Italy, Ferrara Province 26 1.5 0.30 0.18 0.04 3 0.1 0.07 0.02 0.01*Italy, Florence 39 0.7 0.12 0.09 0.02 17 0.2 0.06 0.02 0.01 Italy, Genoa Province 39 1.0 0.17 0.13 0.02 15 0.3 0.09 0.04 0.01 Italy, Liguria Italy, Macerata Province 6 0.4 0.15 0.05 0.03 1 0.0 0.02 - - Italy, Modena Province 19 0.7 0.16 0.10 0.02 5 0.2 0.08 0.02 0.01 Italy, North East 30 0.5 0.10 0.07 0.02 24 0.2 0.06 0.02 0.01

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rates and standard errorsRenal pelvis (C65) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 25 1.2 0.26 0.18 0.04 9 0.3 0.11 0.04 0.02*Italy, Ragusa Province 5 0.4 0.19 0.06 0.03 3 0.2 0.13 0.04 0.02 Italy, Romagna 32 0.6 0.12 0.09 0.02 10 0.1 0.04 0.01 0.01 Italy, Sassari 12 0.7 0.21 0.10 0.03 6 0.3 0.14 0.04 0.02 Italy, Torino 56 1.2 0.17 0.16 0.03 24 0.3 0.08 0.03 0.01 Italy, Umbria 24 1.0 0.21 0.10 0.03 6 0.2 0.10 0.02 0.01 Italy, Varese Province 33 1.0 0.17 0.13 0.03 12 0.2 0.08 0.02 0.01 Italy, Venetian Region 33 0.5 0.09 0.09 0.02 11 0.1 0.04 0.02 0.01*Latvia 22 0.3 0.06 0.04 0.01 8 0.1 0.03 0.01 0.00 Lithuania 12 0.1 0.04 0.02 0.00 5 0.0 0.02 0.00 0.00 Malta 8 0.7 0.23 0.08 0.03 3 0.3 0.15 0.03 0.02 The Netherlands 497 0.9 0.04 0.11 0.01 286 0.4 0.03 0.05 0.00 The Netherlands, Eindhoven 40 1.2 0.20 0.17 0.03 19 0.4 0.10 0.05 0.02 The Netherlands, Maastricht 22 0.7 0.14 0.09 0.02 12 0.3 0.09 0.04 0.01 Norway 201 1.1 0.09 0.14 0.01 123 0.5 0.05 0.06 0.01*Poland, Cracow 2 0.1 0.08 0.00 0.00 7 0.2 0.08 0.03 0.01*Poland, Kielce 3 0.1 0.06 0.02 0.01 1 0.0 0.03 0.00 0.00*Poland, Lower Silesia 3 0.0 0.02 0.00 0.00 5 0.0 0.02 0.01 0.00 Poland, Warsaw City 13 0.2 0.06 0.03 0.01 3 0.0 0.02 0.01 0.00*Portugal, Vila Nova de Gaia 0 - - - - 0 - - - - *Russia, St Petersburg 16 0.2 0.04 0.02 0.01 12 0.1 0.02 0.01 0.00 Slovakia 109 0.7 0.07 0.10 0.01 107 0.5 0.05 0.06 0.01 Slovenia 34 0.5 0.09 0.07 0.02 26 0.3 0.06 0.03 0.01 Spain, Albacete 0 - - - - 1 0.1 0.08 0.01 0.01 Spain, Asturias 18 0.5 0.12 0.07 0.02 6 0.1 0.04 0.01 0.01*Spain, Canary Islands 21 0.9 0.20 0.09 0.03 2 0.1 0.05 0.01 0.01 Spain, Cuenca 6 0.6 0.27 0.05 0.03 1 0.1 0.06 0.02 0.02 Spain, Girona 13 1.0 0.30 0.10 0.04 7 0.2 0.10 0.03 0.02 Spain, Granada 25 0.9 0.19 0.11 0.03 8 0.2 0.07 0.03 0.01 Spain, Mallorca 26 1.4 0.28 0.17 0.04 8 0.3 0.13 0.05 0.02 Spain, Murcia 36 1.3 0.22 0.20 0.04 8 0.2 0.09 0.04 0.01 Spain, Navarra 27 1.1 0.23 0.13 0.03 8 0.2 0.10 0.03 0.01 Spain, Tarragona 22 0.9 0.20 0.12 0.03 5 0.1 0.07 0.02 0.01*Spain, Zaragoza 28 0.8 0.16 0.12 0.02 6 0.1 0.05 0.01 0.01 Sweden 322 0.8 0.05 0.10 0.01 256 0.5 0.04 0.07 0.01 Switzerland, Basel 15 0.8 0.20 0.10 0.03 17 0.7 0.19 0.12 0.03 Switzerland, Geneva 20 1.1 0.27 0.14 0.04 11 0.6 0.18 0.06 0.03 Switzerland, Graubunden and Glarus 6 0.6 0.26 0.08 0.04 2 0.3 0.19 0.03 0.03 Switzerland, Neuchatel 5 0.7 0.31 0.04 0.04 5 0.7 0.34 0.08 0.05 Switzerland, St Gall-Appenzell 18 1.1 0.27 0.17 0.04 11 0.4 0.14 0.04 0.02*Switzerland, Ticino 1 0.2 0.24 0.03 0.03 0 - - - - Switzerland, Valais 9 1.0 0.35 0.15 0.05 5 0.4 0.18 0.05 0.03 Switzerland, Vaud 19 1.1 0.26 0.15 0.04 17 0.6 0.17 0.10 0.03 Switzerland, Zurich 44 1.2 0.19 0.16 0.03 36 0.7 0.13 0.10 0.02*UK, England 688 0.4 0.01 0.04 0.00 504 0.2 0.01 0.02 0.00 UK, England, East Anglia 55 0.6 0.09 0.07 0.01 39 0.3 0.05 0.03 0.01 UK, England, Merseyside and Cheshire 31 0.3 0.06 0.04 0.01 24 0.2 0.05 0.03 0.01 UK, England, North Western 58 0.4 0.05 0.05 0.01 68 0.3 0.05 0.05 0.01 UK, England, Oxford Region 65 0.7 0.09 0.10 0.01 42 0.4 0.06 0.05 0.01*UK, England, South Thames 63 0.2 0.03 0.03 0.00 48 0.1 0.02 0.02 0.00*UK, England, South and Western Regions 113 0.4 0.04 0.05 0.01 68 0.2 0.03 0.02 0.00 UK, England, Trent 90 0.5 0.05 0.06 0.01 73 0.3 0.04 0.04 0.01*UK, England, West Midlands Region 134 0.6 0.06 0.08 0.01 95 0.3 0.04 0.04 0.01 UK, England, Yorkshire 57 0.4 0.05 0.05 0.01 49 0.2 0.03 0.03 0.01 UK, Northern Ireland 32 0.6 0.10 0.07 0.02 15 0.2 0.05 0.03 0.01 UK, Scotland 82 0.4 0.05 0.05 0.01 69 0.3 0.04 0.04 0.01*Yugoslavia, Vojvodina 15 0.2 0.05 0.02 0.01 5 0.1 0.05 0.01 0.00

Oceania Australia, Capital Territory 5 0.6 0.29 0.10 0.05 5 0.6 0.28 0.05 0.03 Australia, New South Wales 210 1.0 0.07 0.12 0.01 351 1.3 0.08 0.18 0.01 Australia, Northern Territory 1 0.3 0.26 0.03 0.03 0 - - - - Australia, Queensland 88 0.8 0.09 0.11 0.01 132 1.0 0.10 0.14 0.02 Australia, South 35 0.6 0.11 0.08 0.02 42 0.6 0.11 0.08 0.02 Australia, Tasmania 9 0.5 0.19 0.05 0.02 7 0.3 0.12 0.04 0.02 Australia, Victoria 92 0.6 0.07 0.07 0.01 89 0.5 0.05 0.06 0.01 Australia, Western 26 0.5 0.09 0.05 0.01 26 0.4 0.08 0.04 0.01 New Zealand 28 0.2 0.05 0.03 0.01 26 0.2 0.04 0.02 0.01 USA, Hawaii: White 9 1.0 0.35 0.17 0.06 6 0.5 0.23 0.06 0.03 USA, Hawaii: Chinese 2 0.8 0.60 0.07 0.07 0 - - - - USA, Hawaii: Filipino 1 0.2 0.20 0.03 0.03 2 0.4 0.28 0.03 0.03 USA, Hawaii: Hawaiian 3 0.6 0.36 0.08 0.06 1 0.2 0.22 0.04 0.04 USA, Hawaii: Japanese 13 0.7 0.22 0.05 0.03 4 0.1 0.07 0.01 0.01

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rates and standard errorsUreter (C66)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers *France, La Reunion 0 - - - - 0 - - - - *The Gambia 0 - - - - 0 - - - - *Mali, Bamako 0 - - - - 0 - - - - *Uganda, Kyadondo County 0 - - - - 0 - - - - *Zimbabwe, Harare: African 0 - - - - 0 - - - -

America, Central and South*Argentina, Bahia Blanca 0 - - - - 1 0.1 0.06 0.01 0.01*Argentina, Concordia 0 - - - - 0 - - - - *Brazil, Campinas 0 - - - - 0 - - - - *Brazil, Goiania 1 0.1 0.11 0.03 0.03 2 0.1 0.10 0.03 0.02 Colombia, Cali 1 0.0 0.03 - - 2 0.1 0.04 0.00 0.00*Costa Rica 2 0.1 0.06 0.01 0.01 0 - - - - *Cuba, Villa Clara 1 0.1 0.08 0.01 0.01 1 0.0 0.04 - - *Ecuador, Quito 2 0.1 0.07 0.01 0.01 1 0.0 0.02 0.00 0.00*France, Martinique 1 0.0 0.05 - - 1 0.1 0.09 0.01 0.01*USA, Puerto Rico 8 0.2 0.08 0.02 0.01 5 0.1 0.04 0.01 0.01*Uruguay, Montevideo 9 0.3 0.11 0.05 0.02 0 - - - -

America, North Canada 440 0.4 0.02 0.06 0.00 223 0.2 0.01 0.02 0.00 Canada, Alberta 29 0.4 0.07 0.06 0.01 19 0.2 0.05 0.02 0.01 Canada, British Columbia 58 0.4 0.05 0.04 0.01 34 0.2 0.04 0.03 0.01 Canada, Manitoba 19 0.5 0.12 0.06 0.02 17 0.2 0.06 0.03 0.01 Canada, New Brunswick 14 0.5 0.15 0.06 0.02 5 0.2 0.08 0.03 0.01 Canada, Newfoundland 12 0.7 0.20 0.10 0.03 1 0.1 0.06 0.01 0.01 Canada, Northwest Territories 0 - - - - 0 - - - - Canada, Nova Scotia 27 0.8 0.17 0.12 0.03 9 0.2 0.07 0.02 0.01 Canada, Ontario 149 0.4 0.03 0.05 0.00 65 0.1 0.02 0.01 0.00 Canada, Prince Edward Island 4 0.9 0.48 0.12 0.07 0 - - - - +Canada, Quebec 109 0.5 0.04 0.06 0.01 62 0.2 0.02 0.02 0.00 Canada, Saskatchewan 19 0.5 0.13 0.06 0.02 11 0.2 0.07 0.02 0.01 Canada, Yukon 0 - - - - 0 - - - - USA, California, Los Angeles: Non-Hispanic White 68 0.4 0.06 0.06 0.01 47 0.2 0.03 0.02 0.00 USA, California, Los Angeles: Hispanic White 13 0.4 0.11 0.03 0.01 5 0.1 0.04 0.01 0.01 USA, California, Los Angeles: Black 5 0.2 0.09 0.01 0.01 3 0.1 0.04 0.01 0.01 USA, California, Los Angeles: Chinese 3 0.4 0.22 0.03 0.02 3 0.3 0.16 0.04 0.03 USA, California, Los Angeles: Filipino 1 0.2 0.21 0.05 0.05 1 0.1 0.07 - - USA, California, Los Angeles: Japanese 2 0.3 0.21 0.03 0.03 1 0.2 0.20 - - USA, California, Los Angeles: Korean 1 0.2 0.20 - - 2 0.3 0.23 0.03 0.03 USA, California, San Francisco: Non-Hispanic White 46 0.5 0.09 0.08 0.01 24 0.2 0.06 0.03 0.01 USA, California, San Francisco: Hispanic White 2 0.2 0.14 0.02 0.01 0 - - - - USA, California, San Francisco: Black 1 0.1 0.05 - - 2 0.1 0.07 0.01 0.01 USA, Connecticut: White 65 0.6 0.07 0.07 0.01 34 0.2 0.04 0.02 0.01 USA, Connecticut: Black 0 - - - - 0 - - - - USA, Georgia, Atlanta: White 28 0.7 0.13 0.09 0.02 23 0.4 0.09 0.04 0.01 USA, Georgia, Atlanta: Black 1 0.1 0.11 0.02 0.02 1 0.0 0.03 - - USA, Iowa 52 0.4 0.06 0.05 0.01 33 0.2 0.04 0.02 0.01 USA, Louisiana, Central Region: White 5 0.5 0.24 0.05 0.03 2 0.2 0.13 0.05 0.03 USA, Louisiana, Central Region: Black 0 - - - - 0 - - - - USA, Louisiana, New Orleans: White 13 0.5 0.16 0.07 0.03 16 0.4 0.12 0.06 0.02 USA, Louisiana, New Orleans: Black 2 0.2 0.16 0.03 0.03 3 0.2 0.13 0.02 0.02 USA, Michigan, Detroit: White 63 0.6 0.08 0.07 0.01 32 0.2 0.04 0.03 0.01 USA, Michigan, Detroit: Black 4 0.1 0.06 0.01 0.01 3 0.1 0.06 0.02 0.01 USA, New Jersey: White 168 0.7 0.05 0.08 0.01 111 0.3 0.03 0.04 0.00 USA, New Jersey: Black 1 0.0 0.05 0.01 0.01 3 0.1 0.05 0.01 0.01 USA, New Mexico: Non-Hispanic White 19 0.5 0.13 0.08 0.02 10 0.3 0.09 0.03 0.01 USA, New Mexico: Hispanic White 3 0.2 0.13 0.04 0.02 1 0.0 0.04 - - USA, New Mexico: American Indian 0 - - - - 1 0.4 0.41 0.07 0.07 USA, New York State: White 309 0.6 0.04 0.08 0.01 208 0.3 0.02 0.04 0.00 USA, New York State: Black 8 0.1 0.04 0.02 0.01 8 0.1 0.02 0.00 0.00 USA, Utah 16 0.3 0.08 0.03 0.01 6 0.1 0.04 0.02 0.01 USA, Washington, Seattle 52 0.4 0.06 0.05 0.01 32 0.2 0.04 0.03 0.01 USA, SEER: White 351 0.5 0.03 0.06 0.00 196 0.2 0.02 0.02 0.00 USA, SEER: Black 6 0.1 0.03 0.01 0.01 6 0.1 0.03 0.01 0.01

Asia*China, Beijing 21 0.2 0.05 0.03 0.01 16 0.2 0.04 0.02 0.01

+*China, Changle *China, Cixian *China, Hong Kong *China, Jiashan 0 - - - - 0 - - - -

+*China, Qidong County 1 0.0 0.04 0.01 0.01 0 - - - - +*China, Shanghai 49 0.2 0.03 0.03 0.00 24 0.1 0.02 0.01 0.00

*China, Taiwan 128 1.1 0.10 0.14 0.01 135 1.3 0.11 0.17 0.02*China, Tianjin 23 0.2 0.04 0.03 0.01 10 0.1 0.03 0.01 0.00+China, Wuhan 14 0.1 0.04 0.02 0.01 21 0.2 0.04 0.02 0.01

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rates and standard errorsUreter (C66) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 0 - - - - 1 0.0 0.02 0.00 0.00*India, Bangalore 1 0.0 0.02 0.00 0.00 0 - - - - India, Chennai (Madras) 4 0.0 0.02 0.00 0.00 1 0.0 0.01 0.00 0.00*India, Delhi 2 0.0 0.01 0.00 0.00 2 0.0 0.01 0.00 0.00*India, Karunagappally 1 0.1 0.11 0.02 0.02 0 - - - - India, Mumbai (Bombay) 8 0.1 0.02 0.01 0.00 7 0.1 0.02 0.01 0.00*India, Nagpur 0 - - - - 0 - - - - *India, Poona 1 0.0 0.02 0.00 0.00 0 - - - - *India, Trivandrum 0 - - - - 0 - - - - Israel: Jews 50 0.4 0.06 0.05 0.01 16 0.1 0.02 0.01 0.00 Israel: Jews born in Israel 5 0.3 0.14 0.05 0.03 2 0.1 0.11 0.01 0.01 Israel: Jews born in Europe or America 31 0.5 0.10 0.05 0.01 10 0.1 0.03 0.01 0.00 Israel: Jews born in Africa or Asia 14 0.3 0.09 0.06 0.02 4 0.1 0.04 0.01 0.01 Israel: Non-Jews 2 0.2 0.14 0.02 0.02 0 - - - - Japan, Hiroshima 42 1.2 0.18 0.16 0.03 17 0.3 0.09 0.03 0.01*Japan, Miyagi Prefecture 76 0.8 0.09 0.08 0.01 52 0.4 0.06 0.05 0.01*Japan, Nagasaki Prefecture 67 0.9 0.12 0.11 0.02 35 0.3 0.06 0.03 0.01*Japan, Osaka Prefecture 219 0.7 0.05 0.09 0.01 145 0.3 0.03 0.04 0.00*Japan, Saga Prefecture 33 0.8 0.15 0.09 0.02 18 0.3 0.07 0.03 0.01*Japan, Yamagata Prefecture 46 0.7 0.10 0.08 0.02 34 0.4 0.07 0.04 0.01*Korea, Busan 11 0.4 0.13 0.05 0.02 6 0.2 0.06 0.02 0.01*Korea, Daegu 6 0.4 0.16 0.07 0.03 1 0.0 0.04 0.01 0.01*Korea, Kangwha County 0 - - - - 0 - - - - *Korea, Seoul 75 0.5 0.06 0.06 0.01 40 0.2 0.03 0.02 0.00*Kuwait: Kuwaitis 0 - - - - 0 - - - - *Kuwait: Non-Kuwaitis 0 - - - - 0 - - - - *Oman: Omani 0 - - - - 0 - - - - *Pakistan, South Karachi 0 - - - - 0 - - - - *Philippines, Manila 2 0.0 0.03 0.01 0.00 3 0.1 0.03 0.01 0.00*Philippines, Rizal 1 0.0 0.01 0.00 0.00 5 0.1 0.04 0.01 0.01 Singapore: Chinese 23 0.5 0.10 0.06 0.02 11 0.2 0.05 0.02 0.01 Singapore: Indian 0 - - - - 1 0.3 0.32 0.08 0.08 Singapore: Malay 0 - - - - 0 - - - - *Thailand, Bangkok 7 0.1 0.05 0.01 0.01 11 0.2 0.05 0.02 0.01*Thailand, Chiang Mai 6 0.2 0.07 0.02 0.01 1 0.0 0.03 0.01 0.01*Thailand, Khon Kaen 0 - - - - 1 0.0 0.03 0.00 0.00*Thailand, Lampang 1 0.1 0.06 0.01 0.01 0 - - - - *Thailand, Songkhla 1 0.1 0.07 0.01 0.01 1 0.0 0.03 0.00 0.00*Viet Nam, Hanoi 0 - - - - 0 - - - - *Viet Nam, Ho Chi Minh City 5 0.1 0.04 0.01 0.01 4 0.1 0.03 0.01 0.00

Europe Austria, Tyrol 14 0.7 0.18 0.09 0.03 9 0.3 0.09 0.02 0.01 Austria, Vorarlberg 6 0.6 0.25 0.10 0.05 2 0.1 0.04 - -

+*Belarus 13 0.0 0.01 0.01 0.00 6 0.0 0.00 0.00 0.00*Belgium, Flanders, (excl. Limburg) 40 0.4 0.07 0.05 0.01 25 0.2 0.05 0.03 0.01*Belgium, Limburg 12 1.0 0.28 0.14 0.05 2 0.1 0.07 - - *Croatia 24 0.2 0.03 0.02 0.01 27 0.1 0.02 0.02 0.00 Czech Republic 100 0.3 0.03 0.04 0.00 75 0.2 0.02 0.02 0.00 Denmark 153 0.7 0.06 0.10 0.01 90 0.3 0.04 0.05 0.01 Estonia 7 0.2 0.06 0.02 0.01 7 0.1 0.03 0.01 0.00 Finland 53 0.3 0.04 0.04 0.01 44 0.1 0.02 0.02 0.00 France, Bas-Rhin 18 0.6 0.14 0.08 0.02 6 0.1 0.06 0.02 0.01*France, Calvados 10 0.5 0.15 0.06 0.02 4 0.1 0.07 0.02 0.01 France, Cote d’Or France, Doubs 6 0.3 0.14 0.02 0.01 5 0.2 0.09 0.02 0.01 France, Haut-Rhin 11 0.4 0.14 0.06 0.02 2 0.1 0.04 0.01 0.01*France, Herault 14 0.3 0.09 0.04 0.01 9 0.1 0.05 0.01 0.01 France, Isere 14 0.4 0.11 0.06 0.02 7 0.2 0.07 0.02 0.01*France, Manche 0 - - - - 3 0.1 0.06 0.01 0.01*France, Somme 12 0.6 0.17 0.08 0.03 2 0.1 0.05 0.02 0.01 France, Tarn 8 0.4 0.15 0.06 0.02 1 0.0 0.04 0.01 0.01 Germany, Saarland 17 0.4 0.10 0.05 0.01 11 0.1 0.05 0.01 0.01 Iceland 4 0.5 0.25 0.06 0.04 2 0.2 0.11 0.02 0.02 Ireland 26 0.3 0.06 0.04 0.01 21 0.2 0.05 0.02 0.01 Italy, Biella Province 6 0.9 0.37 0.14 0.07 0 - - - - Italy, Ferrara Province 10 0.6 0.19 0.06 0.02 2 0.2 0.11 0.02 0.01*Italy, Florence 36 0.6 0.11 0.07 0.01 14 0.2 0.05 0.02 0.01 Italy, Genoa Province 29 0.7 0.14 0.10 0.02 6 0.1 0.05 0.01 0.01 Italy, Liguria Italy, Macerata Province 6 0.4 0.16 0.06 0.03 0 - - - - Italy, Modena Province 21 0.7 0.16 0.10 0.02 6 0.2 0.08 0.02 0.01 Italy, North East 35 0.6 0.10 0.08 0.02 32 0.4 0.07 0.04 0.01

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rates and standard errorsUreter (C66) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 11 0.5 0.14 0.06 0.02 4 0.1 0.06 0.01 0.01*Italy, Ragusa Province 1 0.0 0.05 - - 0 - - - - Italy, Romagna 39 0.8 0.13 0.11 0.02 11 0.2 0.06 0.01 0.01 Italy, Sassari 8 0.5 0.17 0.05 0.02 1 0.0 0.03 - - Italy, Torino 27 0.6 0.12 0.08 0.02 11 0.2 0.05 0.02 0.01 Italy, Umbria 16 0.6 0.16 0.08 0.02 4 0.1 0.04 0.01 0.01 Italy, Varese Province 21 0.6 0.13 0.08 0.02 8 0.2 0.07 0.03 0.01 Italy, Venetian Region 25 0.4 0.08 0.03 0.01 11 0.1 0.03 0.02 0.01*Latvia 6 0.1 0.03 0.01 0.00 13 0.1 0.03 0.01 0.00 Lithuania 6 0.1 0.02 0.01 0.00 7 0.0 0.02 0.01 0.00 Malta 6 0.5 0.21 0.07 0.03 0 - - - - The Netherlands 336 0.6 0.03 0.08 0.01 170 0.2 0.02 0.03 0.00 The Netherlands, Eindhoven 22 0.7 0.14 0.09 0.02 11 0.3 0.08 0.03 0.01 The Netherlands, Maastricht 30 0.9 0.17 0.10 0.02 9 0.2 0.08 0.03 0.01 Norway 126 0.7 0.07 0.09 0.01 60 0.2 0.04 0.03 0.01*Poland, Cracow 0 - - - - 1 0.0 0.02 - - *Poland, Kielce 0 - - - - 0 - - - - *Poland, Lower Silesia 12 0.1 0.04 0.02 0.01 5 0.0 0.02 0.00 0.00 Poland, Warsaw City 10 0.2 0.05 0.02 0.01 8 0.1 0.04 0.02 0.01*Portugal, Vila Nova de Gaia 1 0.1 0.14 0.04 0.04 0 - - - - *Russia, St Petersburg 11 0.1 0.03 0.02 0.01 4 0.0 0.01 0.00 0.00 Slovakia 29 0.2 0.04 0.03 0.01 22 0.1 0.02 0.01 0.00 Slovenia 19 0.3 0.07 0.04 0.01 11 0.1 0.04 0.01 0.01 Spain, Albacete 5 0.3 0.15 0.06 0.03 1 0.0 0.05 0.01 0.01 Spain, Asturias 7 0.2 0.07 0.02 0.01 4 0.1 0.06 0.01 0.01*Spain, Canary Islands 9 0.4 0.13 0.05 0.02 3 0.1 0.05 0.02 0.01 Spain, Cuenca 1 0.1 0.05 - - 0 - - - - Spain, Girona 2 0.1 0.11 0.01 0.01 3 0.1 0.10 0.01 0.01 Spain, Granada 18 0.6 0.15 0.09 0.02 2 0.0 0.03 0.01 0.01 Spain, Mallorca 11 0.5 0.17 0.08 0.03 6 0.3 0.12 0.04 0.02 Spain, Murcia 18 0.6 0.14 0.07 0.02 1 0.0 0.03 0.00 0.00 Spain, Navarra 9 0.4 0.13 0.05 0.02 0 - - - - Spain, Tarragona 16 0.6 0.16 0.08 0.02 4 0.1 0.07 0.01 0.01*Spain, Zaragoza 13 0.4 0.12 0.05 0.02 2 0.0 0.02 0.00 0.00 Sweden 160 0.4 0.03 0.05 0.01 94 0.2 0.02 0.02 0.00 Switzerland, Basel 12 0.6 0.18 0.07 0.03 8 0.3 0.12 0.05 0.02 Switzerland, Geneva 6 0.3 0.14 0.02 0.01 5 0.2 0.10 0.01 0.01 Switzerland, Graubunden and Glarus 5 0.7 0.30 0.13 0.06 3 0.4 0.24 0.06 0.03 Switzerland, Neuchatel 3 0.6 0.35 0.12 0.07 2 0.2 0.13 0.03 0.03 Switzerland, St Gall-Appenzell 9 0.5 0.17 0.08 0.03 4 0.1 0.05 - - *Switzerland, Ticino 4 0.9 0.44 0.13 0.07 0 - - - - Switzerland, Valais 1 0.1 0.13 0.02 0.02 1 0.1 0.12 0.02 0.02 Switzerland, Vaud 9 0.6 0.19 0.08 0.03 6 0.2 0.10 0.04 0.02 Switzerland, Zurich 16 0.4 0.10 0.04 0.01 10 0.2 0.06 0.01 0.01*UK, England 606 0.3 0.01 0.04 0.00 321 0.1 0.01 0.01 0.00 UK, England, East Anglia 24 0.3 0.06 0.03 0.01 12 0.1 0.03 0.01 0.00 UK, England, Merseyside and Cheshire 35 0.4 0.07 0.05 0.01 20 0.1 0.03 0.02 0.01 UK, England, North Western 60 0.4 0.05 0.05 0.01 40 0.2 0.03 0.02 0.00 UK, England, Oxford Region 31 0.3 0.06 0.04 0.01 23 0.2 0.04 0.02 0.01*UK, England, South Thames 87 0.3 0.04 0.04 0.01 38 0.1 0.02 0.01 0.00*UK, England, South and Western Regions 116 0.4 0.04 0.05 0.01 53 0.1 0.02 0.02 0.00 UK, England, Trent 74 0.4 0.05 0.05 0.01 30 0.1 0.02 0.01 0.00*UK, England, West Midlands Region 72 0.3 0.04 0.04 0.01 41 0.1 0.02 0.01 0.00 UK, England, Yorkshire 56 0.3 0.05 0.04 0.01 43 0.2 0.03 0.03 0.01 UK, Northern Ireland 34 0.6 0.11 0.09 0.02 16 0.2 0.05 0.02 0.01 UK, Scotland 107 0.6 0.06 0.08 0.01 63 0.2 0.03 0.03 0.00*Yugoslavia, Vojvodina 5 0.1 0.03 0.01 0.01 4 0.0 0.02 0.00 0.00

Oceania Australia, Capital Territory 2 0.2 0.18 - - 2 0.2 0.17 0.04 0.03 Australia, New South Wales 105 0.5 0.05 0.06 0.01 61 0.2 0.03 0.03 0.00 Australia, Northern Territory 2 0.6 0.48 0.09 0.08 1 0.6 0.56 0.14 0.14 Australia, Queensland 61 0.5 0.07 0.07 0.01 52 0.4 0.05 0.05 0.01 Australia, South 26 0.5 0.10 0.06 0.01 14 0.2 0.06 0.03 0.01 Australia, Tasmania 12 0.8 0.23 0.10 0.03 3 0.2 0.10 0.03 0.02 Australia, Victoria 57 0.4 0.05 0.05 0.01 25 0.1 0.03 0.02 0.00 Australia, Western 10 0.2 0.05 0.02 0.01 11 0.2 0.06 0.03 0.01 New Zealand 32 0.3 0.05 0.03 0.01 15 0.1 0.03 0.01 0.00 USA, Hawaii: White 5 0.6 0.26 0.08 0.04 3 0.3 0.20 0.06 0.03 USA, Hawaii: Chinese 1 0.2 0.15 - - 2 0.5 0.38 0.06 0.06 USA, Hawaii: Filipino 1 0.1 0.07 - - 1 0.1 0.13 - - USA, Hawaii: Hawaiian 2 0.4 0.29 0.03 0.03 2 0.3 0.24 0.05 0.05 USA, Hawaii: Japanese 9 0.7 0.26 0.11 0.04 2 0.1 0.07 0.02 0.01

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rates and standard errorsBladder (C67)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 402 10.8 0.59 1.34 0.09 86 2.3 0.26 0.31 0.04*France, La Reunion 56 12.0 1.61 1.53 0.24 8 1.3 0.46 0.18 0.08*The Gambia 6 1.2 0.51 - - 3 0.5 0.33 - -

† *Mali, Bamako 59 11.3 1.60 1.34 0.23 28 5.8 1.16 0.69 0.16*Uganda, Kyadondo County 17 2.9 0.74 0.41 0.13 8 1.2 0.45 0.16 0.07*Zimbabwe, Harare: African 94 8.3 0.99 1.11 0.17 73 8.3 1.12 1.03 0.18

America, Central and South*Argentina, Bahia Blanca 191 17.2 1.26 1.93 0.18 40 2.6 0.44 0.29 0.06*Argentina, Concordia 37 12.1 2.00 1.41 0.29 15 3.7 0.98 0.45 0.14*Brazil, Campinas 201 13.3 0.95 1.51 0.14 60 2.9 0.38 0.27 0.05*Brazil, Goiania 119 11.2 1.04 1.51 0.17 40 2.7 0.44 0.37 0.07 Colombia, Cali 165 6.1 0.50 0.68 0.07 75 2.1 0.26 0.23 0.04*Costa Rica 143 5.7 0.49 0.71 0.08 50 1.9 0.28 0.26 0.05*Cuba, Villa Clara 174 9.7 0.76 1.12 0.11 57 3.1 0.44 0.27 0.05*Ecuador, Quito 114 5.9 0.57 0.69 0.09 35 1.3 0.22 0.11 0.03*France, Martinique 44 3.6 0.57 0.44 0.09 29 1.7 0.36 0.19 0.05*USA, Puerto Rico 428 9.8 0.49 1.21 0.08 150 2.8 0.24 0.30 0.04*Uruguay, Montevideo 601 22.6 0.96 2.69 0.14 189 4.3 0.35 0.51 0.05

America, North Canada 19755 19.9 0.15 2.35 0.02 6803 5.5 0.07 0.63 0.01 Canada, Alberta 1547 19.7 0.51 2.41 0.08 521 5.6 0.26 0.65 0.04 Canada, British Columbia 2902 21.1 0.41 2.50 0.06 1041 6.4 0.22 0.77 0.03 Canada, Manitoba 878 21.0 0.75 2.45 0.11 312 6.1 0.40 0.71 0.05 Canada, New Brunswick 568 21.7 0.95 2.51 0.14 197 6.4 0.51 0.72 0.07 Canada, Newfoundland 407 22.6 1.16 2.63 0.17 110 5.2 0.54 0.58 0.07 Canada, Northwest Territories 17 7.6 1.88 0.90 0.27 4 1.7 0.98 0.25 0.16 Canada, Nova Scotia 792 23.8 0.88 2.75 0.13 300 7.3 0.47 0.86 0.07 Canada, Ontario 5959 15.9 0.21 1.85 0.03 2020 4.1 0.10 0.46 0.01 Canada, Prince Edward Island 88 17.5 1.96 2.02 0.29 28 4.4 0.94 0.51 0.14+Canada, Quebec 5800 24.6 0.33 2.91 0.05 1993 6.4 0.15 0.74 0.02 Canada, Saskatchewan 801 19.7 0.75 2.37 0.11 278 6.5 0.44 0.77 0.06 Canada, Yukon 29 17.9 3.55 2.51 0.61 3 2.4 1.39 0.25 0.19 USA, California, Los Angeles: Non-Hispanic White 3783 24.6 0.43 2.91 0.06 1266 6.1 0.20 0.72 0.03 USA, California, Los Angeles: Hispanic White 413 12.4 0.63 1.44 0.10 151 2.9 0.24 0.25 0.03 USA, California, Los Angeles: Black 284 12.0 0.73 1.28 0.10 162 4.2 0.35 0.50 0.05 USA, California, Los Angeles: Chinese 82 9.1 1.04 1.00 0.15 34 3.4 0.61 0.43 0.09 USA, California, Los Angeles: Filipino 41 6.4 1.05 0.86 0.19 10 1.1 0.38 0.08 0.04 USA, California, Los Angeles: Japanese 67 12.4 1.62 1.23 0.20 27 3.7 0.74 0.42 0.10 USA, California, Los Angeles: Korean 53 14.0 2.10 1.29 0.24 14 2.6 0.71 0.34 0.10 USA, California, San Francisco: Non-Hispanic White 2006 23.3 0.56 2.81 0.08 725 6.6 0.29 0.82 0.04 USA, California, San Francisco: Hispanic White 137 13.7 1.19 1.57 0.17 68 4.1 0.53 0.43 0.08 USA, California, San Francisco: Black 117 9.7 0.92 1.16 0.14 76 4.2 0.52 0.49 0.08 USA, Connecticut: White 3092 27.8 0.53 3.33 0.08 1191 8.0 0.27 0.94 0.04 USA, Connecticut: Black 74 13.1 1.54 1.79 0.26 41 4.5 0.73 0.46 0.11 USA, Georgia, Atlanta: White 956 23.3 0.77 2.83 0.12 372 6.3 0.35 0.77 0.05 USA, Georgia, Atlanta: Black 126 9.9 0.92 1.07 0.14 73 3.8 0.47 0.50 0.08 USA, Iowa 2505 22.2 0.47 2.70 0.07 786 5.0 0.21 0.58 0.03 USA, Louisiana, Central Region: White 139 17.9 1.59 2.00 0.22 52 5.2 0.82 0.55 0.10 USA, Louisiana, Central Region: Black 20 10.2 2.44 1.21 0.37 12 3.8 1.28 0.39 0.18 USA, Louisiana, New Orleans: White 562 25.2 1.10 2.85 0.16 185 5.7 0.48 0.66 0.07 USA, Louisiana, New Orleans: Black 101 12.5 1.27 1.51 0.20 54 3.9 0.56 0.42 0.09 USA, Michigan, Detroit: White 2862 26.9 0.52 3.22 0.08 1027 7.0 0.24 0.85 0.04 USA, Michigan, Detroit: Black 315 12.3 0.72 1.46 0.10 168 4.5 0.38 0.51 0.05 USA, New Jersey: White 7015 28.0 0.35 3.37 0.05 2580 7.6 0.17 0.91 0.02 USA, New Jersey: Black 302 12.2 0.71 1.52 0.11 153 4.1 0.34 0.50 0.05 USA, New Mexico: Non-Hispanic White 671 19.4 0.79 2.35 0.12 250 5.8 0.41 0.71 0.06 USA, New Mexico: Hispanic White 143 9.2 0.79 1.18 0.13 54 3.0 0.42 0.36 0.06 USA, New Mexico: American Indian 9 4.1 1.41 0.45 0.18 3 0.7 0.40 - - USA, New York State: White 13294 25.0 0.23 2.99 0.03 5367 7.2 0.11 0.86 0.02 USA, New York State: Black 550 8.0 0.34 0.90 0.05 408 3.5 0.18 0.39 0.03 USA, Utah 862 16.9 0.60 2.04 0.09 256 4.2 0.28 0.51 0.04 USA, Washington, Seattle 2794 23.4 0.46 2.82 0.07 954 6.3 0.23 0.77 0.03 USA, SEER: White 16059 23.3 0.19 2.80 0.03 5688 6.2 0.09 0.75 0.01 USA, SEER: Black 683 11.3 0.44 1.36 0.07 377 4.2 0.23 0.49 0.04

Asia*China, Beijing 517 5.9 0.27 0.72 0.04 156 1.7 0.14 0.20 0.02

+*China, Changle *China, Cixian *China, Hong Kong 2060 10.9 0.24 1.28 0.04 738 3.1 0.12 0.33 0.02*China, Jiashan 65 6.1 0.81 0.76 0.11 8 0.7 0.25 0.08 0.04

+*China, Qidong County 174 5.7 0.44 0.65 0.06 41 1.1 0.17 0.13 0.02+*China, Shanghai 1752 6.2 0.15 0.76 0.02 531 1.9 0.09 0.21 0.01

*China, Taiwan 1097 8.9 0.28 1.05 0.04 460 4.2 0.20 0.50 0.03*China, Tianjin 886 7.8 0.27 0.93 0.04 245 1.9 0.13 0.22 0.02+China, Wuhan 463 5.1 0.26 0.59 0.03 128 1.2 0.11 0.14 0.02

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rates and standard errorsBladder (C67) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 141 2.5 0.22 0.31 0.03 27 0.5 0.10 0.07 0.02*India, Bangalore 172 2.3 0.18 0.29 0.03 57 0.9 0.12 0.10 0.02 India, Chennai (Madras) 198 2.7 0.20 0.32 0.03 71 1.0 0.12 0.13 0.02*India, Delhi 642 5.8 0.24 0.76 0.04 133 1.4 0.12 0.19 0.02*India, Karunagappally 25 3.0 0.60 0.42 0.10 3 0.3 0.17 0.03 0.02

† India, Mumbai (Bombay) 692 4.6 0.18 0.53 0.03 180 1.3 0.10 0.14 0.01*India, Nagpur 47 2.5 0.38 0.28 0.05 19 1.2 0.27 0.14 0.04*India, Poona 137 3.5 0.31 0.44 0.05 59 1.5 0.20 0.18 0.03*India, Trivandrum 44 2.0 0.30 0.25 0.04 11 0.4 0.13 0.06 0.02 Israel: Jews 3639 27.0 0.47 3.31 0.07 944 5.5 0.19 0.62 0.03 Israel: Jews born in Israel 493 27.7 1.44 3.58 0.22 119 5.5 0.58 0.60 0.08 Israel: Jews born in Europe or America 2193 27.8 0.71 3.40 0.10 632 6.0 0.30 0.69 0.04 Israel: Jews born in Africa or Asia 953 24.5 0.88 3.08 0.12 193 4.1 0.31 0.47 0.04 Israel: Non-Jews 182 15.5 1.19 2.10 0.20 30 2.2 0.40 0.22 0.05 Japan, Hiroshima 523 14.6 0.65 1.67 0.09 137 2.8 0.26 0.32 0.04*Japan, Miyagi Prefecture 875 9.5 0.33 1.07 0.05 308 2.4 0.15 0.26 0.02*Japan, Nagasaki Prefecture 788 11.2 0.42 1.26 0.06 256 2.4 0.17 0.26 0.02*Japan, Osaka Prefecture 2554 8.1 0.16 0.88 0.02 770 1.7 0.07 0.18 0.01*Japan, Saga Prefecture 312 7.8 0.46 0.90 0.07 115 1.6 0.17 0.17 0.03*Japan, Yamagata Prefecture 459 7.3 0.35 0.81 0.05 192 1.9 0.16 0.17 0.02*Korea, Busan 260 10.1 0.69 1.16 0.10 76 2.0 0.23 0.23 0.03*Korea, Daegu 117 6.7 0.67 0.74 0.09 40 1.7 0.26 0.21 0.04*Korea, Kangwha County 24 10.1 2.15 1.05 0.25 5 1.7 0.78 0.19 0.10*Korea, Seoul 1749 11.2 0.29 1.30 0.04 406 1.7 0.09 0.18 0.01*Kuwait: Kuwaitis 27 4.6 0.91 0.51 0.12 10 1.9 0.62 0.26 0.11*Kuwait: Non-Kuwaitis 62 9.1 2.11 0.81 0.21 13 5.4 1.58 0.89 0.32*Oman: Omani 103 5.5 0.55 0.69 0.08 39 2.3 0.37 0.31 0.06*Pakistan, South Karachi 120 9.0 0.86 1.15 0.13 36 3.6 0.63 0.45 0.09*Philippines, Manila 237 4.7 0.32 0.55 0.05 93 1.4 0.15 0.18 0.02*Philippines, Rizal 246 4.8 0.33 0.59 0.05 69 1.1 0.13 0.12 0.02 Singapore: Chinese 393 7.6 0.39 0.85 0.06 127 1.8 0.16 0.19 0.02 Singapore: Indian 33 5.3 0.96 0.57 0.11 4 1.4 0.73 0.18 0.11 Singapore: Malay 45 5.9 0.90 0.60 0.12 11 1.5 0.46 0.18 0.07*Thailand, Bangkok 408 6.8 0.34 0.77 0.05 140 1.8 0.16 0.20 0.02*Thailand, Chiang Mai 192 5.5 0.40 0.70 0.06 80 2.2 0.25 0.28 0.04*Thailand, Khon Kaen 98 3.3 0.34 0.40 0.05 16 0.5 0.12 0.07 0.02*Thailand, Lampang 92 4.7 0.50 0.58 0.08 44 2.1 0.32 0.28 0.05*Thailand, Songkhla 57 3.0 0.41 0.36 0.06 19 1.0 0.22 0.13 0.03*Viet Nam, Hanoi 125 3.1 0.28 - - 28 0.6 0.11 - - *Viet Nam, Ho Chi Minh City 167 3.0 0.24 0.39 0.04 54 0.7 0.09 0.09 0.01

Europe Austria, Tyrol 655 30.8 1.23 3.66 0.18 226 7.3 0.54 0.89 0.08 Austria, Vorarlberg 191 18.3 1.34 2.35 0.21 75 4.5 0.58 0.47 0.08

+*Belarus 3873 13.6 0.22 1.76 0.03 803 1.6 0.06 0.19 0.01*Belgium, Flanders, (excl. Limburg) 1799 19.5 0.48 2.29 0.07 519 4.2 0.21 0.47 0.03*Belgium, Limburg 497 42.5 1.94 5.00 0.27 111 7.9 0.80 1.01 0.12*Croatia 2099 13.7 0.31 1.72 0.05 662 2.8 0.12 0.36 0.02 Czech Republic 6427 18.7 0.24 2.35 0.03 2296 4.6 0.10 0.55 0.01 Denmark 6090 28.3 0.38 3.47 0.06 2069 7.9 0.19 0.97 0.03 Estonia 577 13.1 0.55 1.50 0.08 254 2.9 0.19 0.33 0.03 Finland 2947 15.8 0.30 1.83 0.04 932 3.2 0.12 0.37 0.02 France, Bas-Rhin 989 31.0 1.00 3.78 0.15 252 5.4 0.38 0.63 0.05*France, Calvados 669 30.7 1.22 3.56 0.17 145 4.1 0.39 0.46 0.05 France, Cote d’Or France, Doubs 523 30.4 1.36 3.64 0.20 113 4.5 0.48 0.49 0.07 France, Haut-Rhin 745 32.4 1.20 3.94 0.17 181 5.4 0.44 0.64 0.06*France, Herault 776 20.5 0.78 2.45 0.11 127 2.0 0.21 0.19 0.03 France, Isere 1017 28.5 0.91 3.31 0.13 224 4.1 0.31 0.47 0.04*France, Manche 273 17.0 1.08 2.07 0.15 79 2.8 0.39 0.28 0.05*France, Somme 492 24.3 1.14 2.93 0.16 89 3.0 0.36 0.35 0.05 France, Tarn 411 23.4 1.26 2.79 0.17 118 4.2 0.47 0.49 0.07 Germany, Saarland 1106 24.8 0.76 3.15 0.11 443 6.4 0.35 0.76 0.05 Iceland 183 20.8 1.60 2.36 0.23 59 5.6 0.80 0.58 0.11 Ireland 1403 14.8 0.41 1.69 0.06 548 4.8 0.22 0.59 0.03 Italy, Biella Province 201 35.0 2.56 4.39 0.37 45 5.9 1.03 0.64 0.13 Italy, Ferrara Province 703 37.0 1.47 4.77 0.21 190 6.6 0.56 0.78 0.08*Italy, Florence 1123 18.7 0.59 2.27 0.08 269 2.9 0.21 0.33 0.03 Italy, Genoa Province 1626 41.1 1.08 5.04 0.15 429 7.3 0.42 0.82 0.05 Italy, Liguria Italy, Macerata Province 484 30.8 1.49 4.02 0.22 111 6.0 0.68 0.71 0.09 Italy, Modena Province 886 29.6 1.04 3.84 0.15 239 6.2 0.46 0.75 0.06 Italy, North East 1763 30.6 0.76 3.74 0.11 567 6.5 0.32 0.75 0.04

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rates and standard errorsBladder (C67) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 679 33.0 1.36 4.13 0.19 195 6.8 0.58 0.84 0.08*Italy, Ragusa Province 339 27.9 1.61 3.29 0.22 44 2.9 0.48 0.38 0.07 Italy, Romagna 1743 35.2 0.89 4.39 0.13 383 5.9 0.35 0.68 0.05 Italy, Sassari 542 30.3 1.34 3.81 0.20 117 5.4 0.54 0.66 0.08 Italy, Torino 1696 38.6 0.97 4.86 0.14 462 7.2 0.38 0.89 0.05 Italy, Umbria 769 28.5 1.11 3.56 0.16 181 5.6 0.49 0.66 0.06 Italy, Varese Province 1189 36.1 1.07 4.53 0.16 278 5.6 0.39 0.60 0.05 Italy, Venetian Region 1957 30.0 0.70 3.63 0.10 560 5.7 0.27 0.68 0.04*Latvia 958 12.8 0.42 1.64 0.06 326 2.2 0.13 0.28 0.02 Lithuania 1363 12.8 0.35 1.62 0.05 418 2.2 0.11 0.26 0.02 Malta 364 30.6 1.63 3.74 0.24 80 5.1 0.59 0.65 0.09 The Netherlands 16795 30.2 0.24 3.71 0.04 4342 5.9 0.10 0.70 0.01 The Netherlands, Eindhoven 925 28.4 0.94 3.41 0.14 239 5.8 0.40 0.66 0.06 The Netherlands, Maastricht 932 27.9 0.93 3.48 0.14 225 5.2 0.39 0.61 0.05 Norway 3947 21.3 0.37 2.55 0.05 1333 5.5 0.18 0.66 0.03*Poland, Cracow 353 15.6 0.83 1.87 0.12 111 3.3 0.33 0.39 0.04

† *Poland, Kielce 445 15.5 0.75 1.93 0.11 79 1.9 0.23 0.23 0.03*Poland, Lower Silesia 1473 18.3 0.49 2.17 0.07 380 3.2 0.17 0.39 0.02 Poland, Warsaw City 1046 18.0 0.56 2.22 0.08 316 3.5 0.22 0.38 0.03*Portugal, Vila Nova de Gaia 118 15.3 1.44 1.82 0.22 32 3.0 0.55 0.30 0.08*Russia, St Petersburg 1296 12.3 0.35 1.50 0.05 446 1.9 0.10 0.20 0.01 Slovakia 2226 14.6 0.31 1.79 0.05 647 3.0 0.12 0.35 0.02 Slovenia 692 11.1 0.42 1.37 0.06 259 2.5 0.17 0.29 0.02 Spain, Albacete 365 24.2 1.36 2.95 0.19 68 3.8 0.52 0.43 0.07 Spain, Asturias 1150 29.2 0.93 3.52 0.13 216 3.9 0.32 0.41 0.04*Spain, Canary Islands 536 22.2 0.97 2.65 0.15 93 2.9 0.31 0.34 0.05 Spain, Cuenca 226 18.7 1.40 2.39 0.20 41 2.8 0.52 0.35 0.07 Spain, Girona 518 37.5 1.75 4.43 0.24 99 5.6 0.65 0.57 0.08 Spain, Granada 935 31.1 1.05 3.76 0.15 142 3.5 0.32 0.41 0.05 Spain, Mallorca 741 39.5 1.52 4.78 0.21 114 4.6 0.48 0.55 0.07 Spain, Murcia 1003 34.2 1.11 4.27 0.16 154 3.9 0.34 0.43 0.05 Spain, Navarra 795 36.0 1.34 4.56 0.19 125 3.9 0.40 0.44 0.06 Spain, Tarragona 810 32.9 1.23 3.94 0.17 147 4.5 0.42 0.46 0.06*Spain, Zaragoza 1025 27.9 0.93 3.39 0.13 177 3.4 0.29 0.38 0.04 Sweden 7436 17.8 0.22 2.15 0.03 2549 4.8 0.11 0.57 0.02

† Switzerland, Basel 248 12.4 0.82 1.44 0.12 97 3.2 0.38 0.32 0.05 Switzerland, Geneva 430 25.9 1.31 3.30 0.20 155 7.4 0.66 0.78 0.10 Switzerland, Graubunden and Glarus 136 14.5 1.32 1.69 0.20 43 3.9 0.68 0.47 0.10

† Switzerland, Neuchatel 87 16.0 1.79 1.93 0.26 22 2.6 0.65 0.31 0.09 Switzerland, St Gall-Appenzell 233 11.5 0.80 1.33 0.12 77 2.5 0.34 0.26 0.05*Switzerland, Ticino 89 15.9 1.76 2.01 0.29 23 3.3 0.77 0.48 0.12

† Switzerland, Valais 155 15.9 1.32 2.14 0.21 37 2.8 0.50 0.35 0.08† Switzerland, Vaud 284 15.0 0.94 1.83 0.14 104 4.0 0.44 0.46 0.06

Switzerland, Zurich 917 24.8 0.84 3.06 0.13 320 6.4 0.40 0.77 0.06*UK, England 45726 22.3 0.11 2.63 0.02 17795 6.1 0.05 0.72 0.01 UK, England, East Anglia 2255 22.4 0.50 2.61 0.07 759 5.8 0.25 0.68 0.04 UK, England, Merseyside and Cheshire 2344 23.7 0.51 2.84 0.07 923 6.8 0.25 0.83 0.04 UK, England, North Western 4194 26.2 0.42 3.14 0.06 1796 8.0 0.22 0.96 0.03 UK, England, Oxford Region 2247 22.8 0.50 2.67 0.07 814 6.1 0.24 0.72 0.04*UK, England, South Thames 4898 16.5 0.25 1.87 0.04 2013 4.5 0.12 0.50 0.02*UK, England, South and Western Regions 7339 23.9 0.30 2.80 0.04 2774 6.7 0.15 0.80 0.02 UK, England, Trent 4589 22.3 0.34 2.66 0.05 1798 6.6 0.18 0.78 0.03*UK, England, West Midlands Region 4740 21.3 0.32 2.48 0.05 1764 5.8 0.16 0.69 0.02 UK, England, Yorkshire 3786 24.6 0.42 2.89 0.06 1576 7.3 0.21 0.88 0.03 UK, Northern Ireland 732 13.0 0.50 1.53 0.07 319 3.9 0.25 0.48 0.04 UK, Scotland 4928 24.7 0.36 2.95 0.05 2272 8.1 0.19 0.98 0.03*Yugoslavia, Vojvodina 854 11.2 0.39 1.36 0.05 251 2.7 0.18 0.31 0.02

Oceania Australia, Capital Territory 76 11.3 1.32 1.29 0.19 23 2.7 0.60 0.26 0.08 Australia, New South Wales 2702 12.3 0.24 1.45 0.04 932 3.3 0.12 0.40 0.02 Australia, Northern Territory 23 9.1 2.03 1.47 0.39 8 3.3 1.26 0.43 0.20 Australia, Queensland 2157 19.2 0.42 2.30 0.06 746 5.7 0.23 0.66 0.03 Australia, South 1271 23.1 0.68 2.68 0.10 443 6.2 0.33 0.77 0.05 Australia, Tasmania 330 19.9 1.13 2.40 0.16 100 4.6 0.51 0.54 0.07 Australia, Victoria 3224 20.5 0.37 2.45 0.05 1051 5.2 0.18 0.61 0.03 Australia, Western 519 9.4 0.42 0.99 0.06 153 2.3 0.20 0.27 0.03

† New Zealand 1900 15.7 0.37 1.80 0.05 682 4.4 0.19 0.49 0.03 USA, Hawaii: White 243 23.9 1.60 2.76 0.23 66 5.6 0.75 0.56 0.10 USA, Hawaii: Chinese 30 9.5 1.93 1.07 0.27 9 2.5 1.06 0.25 0.13 USA, Hawaii: Filipino 40 7.0 1.19 0.96 0.18 13 2.2 0.63 0.23 0.08 USA, Hawaii: Hawaiian 31 6.8 1.24 0.93 0.19 17 3.4 0.84 0.38 0.12 USA, Hawaii: Japanese 178 12.0 1.03 1.32 0.14 57 3.4 0.51 0.44 0.07

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Africa*Algeria, Algiers *France, La Reunion 0 - - - - 0 - - - - *The Gambia 0 - - - - 0 - - - - *Mali, Bamako 0 - - - - 1 0.2 0.21 0.02 0.02*Uganda, Kyadondo County 1 0.2 0.19 0.02 0.02 5 0.4 0.18 0.03 0.02*Zimbabwe, Harare: African 0 - - - - 0 - - - -

America, Central and South*Argentina, Bahia Blanca 3 0.3 0.19 0.03 0.02 0 - - - - *Argentina, Concordia 1 0.3 0.35 0.06 0.06 0 - - - - *Brazil, Campinas 17 1.1 0.27 0.13 0.04 13 0.7 0.19 0.10 0.03*Brazil, Goiania 2 0.2 0.15 0.03 0.02 1 0.1 0.08 0.01 0.01 Colombia, Cali 2 0.1 0.06 0.02 0.01 6 0.2 0.08 0.02 0.01*Costa Rica 6 0.3 0.11 0.04 0.02 5 0.2 0.07 0.01 0.01*Cuba, Villa Clara 1 0.1 0.06 0.01 0.01 1 0.1 0.08 0.01 0.01*Ecuador, Quito 1 0.1 0.07 0.01 0.01 0 - - - - *France, Martinique 0 - - - - 0 - - - - *USA, Puerto Rico 3 0.1 0.04 0.01 0.01 5 0.1 0.05 0.01 0.01*Uruguay, Montevideo 3 0.1 0.07 0.02 0.01 2 0.0 0.03 0.00 0.00

America, North Canada 697 0.7 0.03 0.08 0.00 261 0.2 0.01 0.02 0.00 Canada, Alberta 25 0.3 0.06 0.05 0.01 13 0.1 0.04 0.01 0.01 Canada, British Columbia 25 0.2 0.04 0.02 0.01 11 0.1 0.02 0.01 0.00 Canada, Manitoba 9 0.2 0.08 0.04 0.01 4 0.1 0.03 0.00 0.00 Canada, New Brunswick 1 0.0 0.03 - - 1 0.0 0.05 0.01 0.01 Canada, Newfoundland 2 0.1 0.06 0.01 0.01 3 0.1 0.08 0.01 0.01 Canada, Northwest Territories 2 0.9 0.64 0.13 0.10 1 0.5 0.51 - - Canada, Nova Scotia 8 0.3 0.10 0.04 0.02 5 0.1 0.05 0.01 0.01 Canada, Ontario 555 1.5 0.06 0.17 0.01 169 0.4 0.03 0.04 0.00 Canada, Prince Edward Island 1 0.3 0.26 0.04 0.04 0 - - - - +Canada, Quebec 68 0.3 0.03 0.03 0.00 50 0.1 0.02 0.02 0.00 Canada, Saskatchewan 2 0.0 0.04 0.00 0.00 4 0.1 0.04 0.01 0.01 Canada, Yukon 0 - - - - 0 - - - - USA, California, Los Angeles: Non-Hispanic White 55 0.3 0.05 0.03 0.01 27 0.1 0.03 0.01 0.00 USA, California, Los Angeles: Hispanic White 12 0.3 0.10 0.05 0.02 5 0.1 0.04 0.01 0.00 USA, California, Los Angeles: Black 12 0.5 0.16 0.09 0.03 15 0.5 0.13 0.06 0.02 USA, California, Los Angeles: Chinese 2 0.3 0.29 0.03 0.03 2 0.3 0.18 0.03 0.02 USA, California, Los Angeles: Filipino 0 - - - - 0 - - - - USA, California, Los Angeles: Japanese 1 0.2 0.20 0.03 0.03 3 0.4 0.24 0.07 0.04 USA, California, Los Angeles: Korean 1 0.3 0.26 0.06 0.06 0 - - - - USA, California, San Francisco: Non-Hispanic White 16 0.2 0.05 0.02 0.01 13 0.1 0.04 0.02 0.01 USA, California, San Francisco: Hispanic White 1 0.1 0.10 0.03 0.03 0 - - - - USA, California, San Francisco: Black 2 0.1 0.10 0.02 0.02 4 0.3 0.14 0.03 0.02 USA, Connecticut: White 26 0.2 0.05 0.03 0.01 9 0.1 0.03 0.01 0.00 USA, Connecticut: Black 1 0.2 0.19 0.03 0.03 1 0.1 0.09 0.01 0.01 USA, Georgia, Atlanta: White 9 0.2 0.07 0.02 0.01 6 0.1 0.05 0.01 0.01 USA, Georgia, Atlanta: Black 2 0.1 0.07 0.01 0.01 3 0.2 0.09 0.02 0.01 USA, Iowa 34 0.3 0.05 0.03 0.01 14 0.1 0.02 0.01 0.00 USA, Louisiana, Central Region: White 2 0.3 0.19 0.04 0.03 1 0.2 0.16 0.02 0.02 USA, Louisiana, Central Region: Black 0 - - - - 0 - - - - USA, Louisiana, New Orleans: White 3 0.1 0.05 - - 3 0.1 0.08 0.01 0.01 USA, Louisiana, New Orleans: Black 7 0.9 0.33 0.09 0.04 2 0.1 0.11 0.02 0.02 USA, Michigan, Detroit: White 76 0.7 0.08 0.08 0.01 29 0.2 0.04 0.02 0.01 USA, Michigan, Detroit: Black 26 1.1 0.22 0.14 0.03 16 0.5 0.13 0.07 0.02 USA, New Jersey: White 65 0.2 0.03 0.03 0.00 29 0.1 0.02 0.01 0.00 USA, New Jersey: Black 4 0.2 0.08 0.01 0.01 9 0.3 0.09 0.02 0.01 USA, New Mexico: Non-Hispanic White 11 0.2 0.08 0.02 0.01 2 0.0 0.02 - - USA, New Mexico: Hispanic White 4 0.2 0.12 0.03 0.02 2 0.1 0.05 - - USA, New Mexico: American Indian 0 - - - - 0 - - - - USA, New York State: White 139 0.3 0.02 0.03 0.00 65 0.1 0.01 0.01 0.00 USA, New York State: Black 21 0.3 0.07 0.04 0.01 29 0.3 0.05 0.03 0.01 USA, Utah 8 0.2 0.06 0.02 0.01 3 0.0 0.03 0.00 0.00 USA, Washington, Seattle 28 0.2 0.05 0.03 0.01 16 0.1 0.02 0.01 0.00 USA, SEER: White 213 0.3 0.02 0.04 0.00 88 0.1 0.01 0.01 0.00 USA, SEER: Black 33 0.6 0.10 0.08 0.02 27 0.3 0.07 0.04 0.01

Asia*China, Beijing 8 0.1 0.03 0.01 0.00 8 0.1 0.03 0.01 0.01

+*China, Changle *China, Cixian *China, Hong Kong *China, Jiashan 0 - - - - 0 - - - -

+*China, Qidong County 0 - - - - 0 - - - - +*China, Shanghai 18 0.1 0.02 0.01 0.00 13 0.0 0.01 0.00 0.00

*China, Taiwan 37 0.3 0.05 0.03 0.01 33 0.3 0.05 0.04 0.01*China, Tianjin 90 0.8 0.09 0.10 0.01 53 0.4 0.06 0.06 0.01+China, Wuhan 14 0.2 0.05 0.01 0.00 9 0.1 0.03 0.01 0.00

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Asia (contd)*India, Ahmedabad 2 0.0 0.03 0.00 0.00 1 0.0 0.03 0.00 0.00*India, Bangalore 2 0.0 0.01 0.00 0.00 3 0.0 0.02 0.00 0.00 India, Chennai (Madras) 3 0.0 0.02 0.00 0.00 3 0.0 0.02 0.00 0.00*India, Delhi 6 0.0 0.02 0.01 0.00 7 0.0 0.02 0.00 0.00*India, Karunagappally 0 - - - - 1 0.1 0.11 0.01 0.01 India, Mumbai (Bombay) 5 0.0 0.02 0.00 0.00 3 0.0 0.01 0.00 0.00*India, Nagpur 0 - - - - 2 0.1 0.10 0.02 0.02*India, Poona 0 - - - - 0 - - - - *India, Trivandrum 1 0.0 0.05 0.01 0.01 2 0.1 0.06 0.01 0.00 Israel: Jews 124 0.9 0.08 0.11 0.01 44 0.2 0.04 0.03 0.01 Israel: Jews born in Israel 18 1.1 0.28 0.13 0.04 4 0.3 0.14 0.03 0.02 Israel: Jews born in Europe or America 74 0.9 0.12 0.11 0.02 31 0.3 0.07 0.04 0.01 Israel: Jews born in Africa or Asia 32 0.8 0.14 0.09 0.02 9 0.2 0.06 0.01 0.01 Israel: Non-Jews 5 0.4 0.18 0.04 0.02 0 - - - - Japan, Hiroshima 14 0.4 0.10 0.04 0.01 11 0.2 0.07 0.03 0.01*Japan, Miyagi Prefecture 18 0.2 0.05 0.02 0.01 18 0.1 0.03 0.01 0.00*Japan, Nagasaki Prefecture 17 0.2 0.06 0.03 0.01 14 0.1 0.04 0.01 0.01*Japan, Osaka Prefecture 22 0.1 0.02 0.01 0.00 20 0.0 0.01 0.00 0.00*Japan, Saga Prefecture 3 0.1 0.03 - - 5 0.1 0.06 0.01 0.01*Japan, Yamagata Prefecture 7 0.1 0.04 0.01 0.01 4 0.0 0.02 0.00 0.00*Korea, Busan 6 0.3 0.12 0.00 0.00 3 0.1 0.05 0.02 0.01*Korea, Daegu 0 - - - - 3 0.1 0.07 0.02 0.01*Korea, Kangwha County 0 - - - - 0 - - - - *Korea, Seoul 55 0.4 0.06 0.03 0.01 48 0.2 0.03 0.03 0.00*Kuwait: Kuwaitis 0 - - - - 0 - - - - *Kuwait: Non-Kuwaitis 0 - - - - 0 - - - - *Oman: Omani 1 0.1 0.06 0.01 0.01 1 0.0 0.03 - - *Pakistan, South Karachi 1 0.1 0.08 0.01 0.01 0 - - - - *Philippines, Manila 3 0.1 0.05 0.01 0.01 4 0.1 0.03 0.01 0.01*Philippines, Rizal 0 - - - - 3 0.0 0.02 0.00 0.00 Singapore: Chinese 5 0.1 0.04 0.01 0.00 5 0.1 0.04 0.01 0.01 Singapore: Indian 0 - - - - 0 - - - - Singapore: Malay 0 - - - - 2 0.3 0.20 0.05 0.04*Thailand, Bangkok 12 0.2 0.06 0.03 0.01 5 0.1 0.03 0.01 0.00*Thailand, Chiang Mai 1 0.0 0.03 0.00 0.00 2 0.1 0.04 0.01 0.01*Thailand, Khon Kaen 3 0.1 0.06 0.02 0.01 0 - - - - *Thailand, Lampang 0 - - - - 0 - - - - *Thailand, Songkhla 0 - - - - 0 - - - - *Viet Nam, Hanoi 4 0.1 0.04 - - 3 0.1 0.03 - - *Viet Nam, Ho Chi Minh City 3 0.1 0.03 0.01 0.01 3 0.0 0.02 0.01 0.00

Europe Austria, Tyrol 15 0.7 0.19 0.10 0.03 11 0.2 0.08 0.01 0.01 Austria, Vorarlberg 14 1.4 0.38 0.11 0.04 5 0.2 0.09 - -

+*Belarus 5 0.0 0.01 0.00 0.00 18 0.0 0.01 0.01 0.00*Belgium, Flanders, (excl. Limburg) 36 0.4 0.07 0.05 0.01 15 0.1 0.04 0.02 0.01*Belgium, Limburg 1 0.1 0.07 0.02 0.02 0 - - - - *Croatia 6 0.0 0.02 0.00 0.00 11 0.0 0.02 0.01 0.00 Czech Republic 117 0.3 0.03 0.04 0.00 92 0.2 0.02 0.02 0.00 Denmark 41 0.2 0.03 0.02 0.00 21 0.1 0.02 0.01 0.00 Estonia 11 0.3 0.08 0.02 0.01 6 0.1 0.03 0.01 0.01 Finland 32 0.2 0.03 0.01 0.00 24 0.1 0.02 0.00 0.00 France, Bas-Rhin 8 0.2 0.08 0.02 0.01 1 0.0 0.03 0.00 0.00*France, Calvados 5 0.2 0.10 0.02 0.01 2 0.1 0.04 0.01 0.01 France, Cote d’Or France, Doubs 4 0.2 0.11 0.02 0.02 1 0.1 0.06 0.01 0.01 France, Haut-Rhin 6 0.3 0.11 0.05 0.02 3 0.1 0.07 0.02 0.01*France, Herault 2 0.1 0.04 0.00 0.00 0 - - - - France, Isere 5 0.1 0.06 0.01 0.01 2 0.1 0.04 0.00 0.00*France, Manche 2 0.1 0.09 0.01 0.01 5 0.3 0.14 0.03 0.01*France, Somme 4 0.2 0.09 0.03 0.02 2 0.1 0.10 0.01 0.01 France, Tarn 5 0.2 0.09 0.02 0.02 0 - - - - Germany, Saarland 29 0.6 0.12 0.07 0.02 13 0.2 0.06 0.02 0.01 Iceland 0 - - - - 2 0.2 0.17 0.02 0.02 Ireland 19 0.2 0.05 0.03 0.01 7 0.1 0.03 0.01 0.00 Italy, Biella Province 7 1.2 0.46 0.15 0.07 1 0.2 0.20 0.02 0.02 Italy, Ferrara Province 26 1.2 0.25 0.12 0.03 11 0.3 0.12 0.05 0.02*Italy, Florence 21 0.3 0.07 0.04 0.01 9 0.2 0.06 0.02 0.01 Italy, Genoa Province 20 0.4 0.11 0.04 0.01 4 0.1 0.05 0.00 0.00 Italy, Liguria Italy, Macerata Province 2 0.2 0.14 0.02 0.02 1 0.1 0.08 0.01 0.01 Italy, Modena Province 5 0.2 0.10 0.02 0.01 3 0.1 0.05 0.01 0.01 Italy, North East 168 2.8 0.23 0.29 0.03 88 0.9 0.14 0.10 0.02

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MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 6 0.3 0.12 0.02 0.01 2 0.1 0.08 0.01 0.01*Italy, Ragusa Province 6 0.5 0.20 0.06 0.03 4 0.3 0.17 0.04 0.02 Italy, Romagna 33 0.6 0.12 0.07 0.02 5 0.1 0.05 0.01 0.00 Italy, Sassari 6 0.3 0.13 0.03 0.02 3 0.1 0.04 - - Italy, Torino 21 0.5 0.10 0.05 0.01 2 0.0 0.02 0.00 0.00 Italy, Umbria 18 0.6 0.15 0.08 0.02 9 0.4 0.15 0.04 0.02 Italy, Varese Province 15 0.5 0.12 0.06 0.02 2 0.0 0.04 0.00 0.00 Italy, Venetian Region 344 5.2 0.29 0.59 0.04 116 1.0 0.10 0.10 0.01*Latvia 47 0.6 0.09 0.08 0.01 33 0.4 0.07 0.04 0.01 Lithuania 254 2.4 0.15 0.30 0.02 221 1.4 0.10 0.18 0.01 Malta 0 - - - - 1 0.1 0.08 0.01 0.01 The Netherlands 156 0.3 0.02 0.04 0.00 49 0.1 0.01 0.01 0.00 The Netherlands, Eindhoven 10 0.3 0.09 0.03 0.01 2 0.1 0.04 0.01 0.01 The Netherlands, Maastricht 11 0.3 0.10 0.05 0.02 1 0.0 0.01 - - Norway 78 0.4 0.05 0.05 0.01 39 0.2 0.03 0.02 0.00*Poland, Cracow 2 0.1 0.06 0.01 0.01 1 0.0 0.03 0.01 0.01*Poland, Kielce 2 0.1 0.05 0.01 0.01 2 0.0 0.02 - - *Poland, Lower Silesia 191 2.3 0.17 0.29 0.02 133 1.1 0.10 0.13 0.01 Poland, Warsaw City 8 0.1 0.05 0.01 0.01 6 0.1 0.02 0.01 0.00*Portugal, Vila Nova de Gaia 3 0.4 0.21 0.04 0.03 0 - - - - *Russia, St Petersburg 96 0.9 0.09 0.11 0.01 126 0.6 0.06 0.08 0.01 Slovakia 22 0.1 0.03 0.02 0.00 14 0.1 0.02 0.01 0.00 Slovenia 8 0.1 0.04 0.02 0.01 6 0.1 0.03 0.01 0.00 Spain, Albacete 6 0.3 0.13 0.04 0.02 0 - - - - Spain, Asturias 27 0.6 0.14 0.08 0.02 9 0.2 0.10 0.02 0.01*Spain, Canary Islands 13 0.5 0.15 0.06 0.02 0 - - - - Spain, Cuenca 2 0.2 0.12 0.01 0.01 1 0.1 0.08 0.01 0.01 Spain, Girona 4 0.2 0.10 0.01 0.01 0 - - - - Spain, Granada 18 0.6 0.16 0.08 0.02 2 0.0 0.03 0.00 0.00 Spain, Mallorca 10 0.6 0.18 0.07 0.03 3 0.1 0.06 0.02 0.01 Spain, Murcia 9 0.4 0.12 0.03 0.01 1 0.0 0.04 0.00 0.00 Spain, Navarra 15 0.6 0.18 0.08 0.03 1 0.0 0.02 - - Spain, Tarragona 18 0.6 0.15 0.04 0.02 6 0.1 0.07 0.01 0.01*Spain, Zaragoza 17 0.5 0.12 0.05 0.02 0 - - - - Sweden 116 0.3 0.03 0.03 0.00 76 0.1 0.02 0.02 0.00 Switzerland, Basel 2 0.1 0.07 0.01 0.01 1 0.0 0.01 - - Switzerland, Geneva 0 - - - - 2 0.1 0.08 0.01 0.01 Switzerland, Graubunden and Glarus 0 - - - - 0 - - - - Switzerland, Neuchatel 0 - - - - 1 0.1 0.08 - - Switzerland, St Gall-Appenzell 3 0.1 0.06 0.01 0.01 0 - - - - *Switzerland, Ticino 2 0.4 0.27 0.02 0.02 1 0.2 0.18 0.03 0.03 Switzerland, Valais 0 - - - - 2 0.2 0.13 0.02 0.02 Switzerland, Vaud 6 0.3 0.14 0.05 0.02 3 0.1 0.07 0.01 0.01 Switzerland, Zurich 11 0.3 0.09 0.04 0.01 3 0.1 0.05 0.01 0.01*UK, England 561 0.3 0.01 0.03 0.00 277 0.1 0.01 0.01 0.00 UK, England, East Anglia 16 0.2 0.05 0.02 0.01 6 0.0 0.02 0.01 0.00 UK, England, Merseyside and Cheshire 22 0.2 0.05 0.02 0.01 7 0.1 0.03 0.01 0.00 UK, England, North Western 27 0.2 0.03 0.02 0.01 14 0.0 0.01 0.01 0.00 UK, England, Oxford Region 11 0.1 0.03 0.02 0.01 4 0.0 0.02 0.00 0.00*UK, England, South Thames 45 0.1 0.02 0.02 0.00 13 0.0 0.01 0.00 0.00*UK, England, South and Western Regions 300 1.0 0.06 0.12 0.01 161 0.5 0.04 0.05 0.01 UK, England, Trent 19 0.1 0.02 0.01 0.00 14 0.1 0.02 0.01 0.00*UK, England, West Midlands Region 46 0.2 0.03 0.02 0.00 28 0.1 0.01 0.01 0.00 UK, England, Yorkshire 19 0.1 0.03 0.01 0.00 9 0.0 0.02 0.01 0.00 UK, Northern Ireland 91 1.7 0.18 0.22 0.03 22 0.3 0.07 0.03 0.01 UK, Scotland 39 0.2 0.03 0.02 0.00 27 0.1 0.02 0.01 0.00*Yugoslavia, Vojvodina 101 1.3 0.13 0.17 0.02 58 0.7 0.10 0.09 0.01

Oceania Australia, Capital Territory 1 0.1 0.14 0.04 0.04 1 0.1 0.12 0.03 0.03 Australia, New South Wales 39 0.2 0.03 0.02 0.00 13 0.0 0.01 0.00 0.00 Australia, Northern Territory 0 - - - - 0 - - - - Australia, Queensland 33 0.3 0.05 0.03 0.01 18 0.1 0.03 0.01 0.00 Australia, South 4 0.1 0.03 0.01 0.01 4 0.1 0.03 0.01 0.00 Australia, Tasmania 1 0.1 0.07 0.01 0.01 4 0.2 0.10 0.02 0.01 Australia, Victoria 37 0.2 0.04 0.02 0.01 19 0.1 0.02 0.01 0.00 Australia, Western 9 0.2 0.06 0.02 0.01 8 0.1 0.04 0.01 0.01 New Zealand 12 0.1 0.03 0.01 0.00 8 0.1 0.02 0.00 0.00 USA, Hawaii: White 1 0.1 0.07 - - 0 - - - - USA, Hawaii: Chinese 0 - - - - 1 0.4 0.36 0.06 0.06 USA, Hawaii: Filipino 0 - - - - 0 - - - - USA, Hawaii: Hawaiian 0 - - - - 0 - - - - USA, Hawaii: Japanese 3 0.1 0.06 - - 1 0.0 0.04 0.01 0.01

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rates and standard errorsEye (C69)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 20 0.5 0.11 0.03 0.01 22 0.5 0.12 0.05 0.02*France, La Reunion 1 0.2 0.23 0.04 0.04 2 0.4 0.29 0.03 0.02*The Gambia 6 1.0 0.43 - - 5 0.6 0.30 - - *Mali, Bamako 10 1.2 0.44 0.18 0.09 8 0.9 0.43 0.13 0.08*Uganda, Kyadondo County 76 2.9 0.41 0.22 0.04 64 2.8 0.46 0.23 0.04*Zimbabwe, Harare: African 72 2.2 0.31 0.18 0.04 82 3.3 0.54 0.30 0.06

America, Central and South*Argentina, Bahia Blanca 3 0.3 0.17 0.04 0.02 1 0.1 0.09 0.01 0.01*Argentina, Concordia 2 0.6 0.41 0.05 0.03 2 0.5 0.37 0.03 0.03*Brazil, Campinas 11 0.7 0.20 0.06 0.03 6 0.4 0.15 0.02 0.01*Brazil, Goiania 24 1.6 0.35 0.16 0.04 11 0.7 0.21 0.07 0.03 Colombia, Cali 21 0.7 0.18 0.03 0.01 17 0.5 0.14 0.05 0.02*Costa Rica 20 0.7 0.15 0.04 0.02 6 0.2 0.09 0.02 0.01*Cuba, Villa Clara 18 1.3 0.32 0.10 0.03 6 0.3 0.11 0.01 0.01*Ecuador, Quito 27 1.1 0.22 0.11 0.03 20 0.7 0.16 0.07 0.02*France, Martinique 3 0.3 0.17 0.05 0.03 5 0.4 0.23 0.03 0.02*USA, Puerto Rico 18 0.4 0.10 0.03 0.01 13 0.4 0.10 0.02 0.01*Uruguay, Montevideo 7 0.4 0.17 0.04 0.02 7 0.3 0.11 0.02 0.01

America, North Canada 709 0.9 0.03 0.09 0.00 566 0.6 0.03 0.06 0.00 Canada, Alberta 52 0.7 0.11 0.08 0.01 55 0.8 0.11 0.08 0.01 Canada, British Columbia 82 0.8 0.10 0.08 0.01 54 0.5 0.07 0.04 0.01 Canada, Manitoba 29 0.8 0.17 0.09 0.02 28 0.7 0.14 0.07 0.02 Canada, New Brunswick 18 0.8 0.22 0.08 0.02 12 0.6 0.21 0.05 0.02 Canada, Newfoundland 5 0.3 0.15 0.05 0.02 8 0.5 0.18 0.07 0.03 Canada, Northwest Territories 1 0.3 0.31 0.03 0.03 3 0.7 0.44 0.05 0.03 Canada, Nova Scotia 24 1.0 0.24 0.08 0.02 12 0.4 0.16 0.03 0.01 Canada, Ontario 263 0.9 0.06 0.09 0.01 212 0.6 0.05 0.06 0.00 Canada, Prince Edward Island 2 0.6 0.39 0.06 0.04 7 1.9 0.86 0.16 0.08+Canada, Quebec 195 1.0 0.07 0.10 0.01 140 0.6 0.06 0.06 0.01 Canada, Saskatchewan 38 1.1 0.20 0.16 0.03 35 1.1 0.21 0.11 0.02 Canada, Yukon 2 0.8 0.59 0.09 0.07 1 0.6 0.60 0.06 0.06 USA, California, Los Angeles: Non-Hispanic White 134 1.1 0.11 0.11 0.01 100 0.8 0.10 0.07 0.01 USA, California, Los Angeles: Hispanic White 38 0.7 0.13 0.05 0.02 28 0.4 0.09 0.04 0.01 USA, California, Los Angeles: Black 6 0.3 0.11 0.02 0.01 7 0.3 0.12 0.02 0.01 USA, California, Los Angeles: Chinese 3 0.6 0.33 0.04 0.02 1 0.1 0.14 0.01 0.01 USA, California, Los Angeles: Filipino 3 0.6 0.35 0.03 0.02 1 0.1 0.11 0.03 0.03 USA, California, Los Angeles: Japanese 1 0.6 0.61 0.03 0.03 0 - - - - USA, California, Los Angeles: Korean 0 - - - - 1 0.4 0.37 0.02 0.02 USA, California, San Francisco: Non-Hispanic White 65 0.9 0.13 0.10 0.02 43 0.6 0.11 0.07 0.01 USA, California, San Francisco: Hispanic White 6 0.5 0.22 0.05 0.03 5 0.4 0.19 0.05 0.02 USA, California, San Francisco: Black 2 0.3 0.19 0.01 0.01 3 0.2 0.12 0.01 0.01 USA, Connecticut: White 71 0.7 0.10 0.07 0.01 54 0.6 0.09 0.06 0.01 USA, Connecticut: Black 1 0.2 0.18 0.01 0.01 2 0.4 0.25 0.03 0.02 USA, Georgia, Atlanta: White 23 0.7 0.15 0.07 0.02 31 0.7 0.14 0.08 0.02 USA, Georgia, Atlanta: Black 2 0.2 0.12 0.03 0.03 4 0.2 0.12 0.02 0.01 USA, Iowa 93 1.1 0.12 0.10 0.01 69 0.8 0.11 0.07 0.01 USA, Louisiana, Central Region: White 1 0.2 0.19 0.02 0.02 5 0.7 0.39 0.05 0.03 USA, Louisiana, Central Region: Black 1 0.8 0.84 0.10 0.10 0 - - - - USA, Louisiana, New Orleans: White 12 0.8 0.26 0.07 0.02 10 0.5 0.20 0.06 0.02 USA, Louisiana, New Orleans: Black 1 0.1 0.13 - - 2 0.3 0.18 0.01 0.01 USA, Michigan, Detroit: White 58 0.6 0.09 0.07 0.01 54 0.5 0.09 0.05 0.01 USA, Michigan, Detroit: Black 4 0.2 0.10 0.01 0.00 4 0.2 0.09 0.01 0.00 USA, New Jersey: White 196 1.0 0.08 0.10 0.01 176 0.8 0.07 0.08 0.01 USA, New Jersey: Black 11 0.5 0.15 0.05 0.02 5 0.2 0.10 0.01 0.01 USA, New Mexico: Non-Hispanic White 19 0.7 0.17 0.07 0.02 14 0.4 0.14 0.04 0.01 USA, New Mexico: Hispanic White 5 0.3 0.14 0.04 0.03 8 0.5 0.18 0.05 0.02 USA, New Mexico: American Indian 3 0.7 0.43 0.04 0.02 2 0.4 0.26 0.02 0.02 USA, New York State: White 299 0.7 0.04 0.07 0.00 285 0.6 0.04 0.06 0.00 USA, New York State: Black 20 0.3 0.07 0.03 0.01 19 0.3 0.07 0.02 0.00 USA, Utah 35 0.8 0.13 0.07 0.02 23 0.5 0.10 0.04 0.01 USA, Washington, Seattle 89 0.8 0.09 0.08 0.01 73 0.7 0.09 0.06 0.01 USA, SEER: White 459 0.8 0.04 0.08 0.00 372 0.6 0.04 0.06 0.00 USA, SEER: Black 13 0.2 0.07 0.01 0.01 15 0.2 0.07 0.01 0.00

Asia*China, Beijing 9 0.1 0.05 0.01 0.00 3 0.1 0.04 0.00 0.00

+*China, Changle *China, Cixian *China, Hong Kong 39 0.3 0.06 0.02 0.00 29 0.3 0.06 0.02 0.00*China, Jiashan 2 0.2 0.12 0.01 0.01 4 0.4 0.25 0.06 0.03

+*China, Qidong County 3 0.1 0.08 0.01 0.01 4 0.1 0.04 0.01 0.01+*China, Shanghai 34 0.3 0.06 0.02 0.00 21 0.2 0.05 0.01 0.00

*China, Taiwan 25 0.3 0.06 0.02 0.00 18 0.2 0.05 0.01 0.00*China, Tianjin 9 0.1 0.04 0.01 0.00 11 0.3 0.10 0.01 0.00+China, Wuhan 18 0.3 0.08 0.02 0.01 16 0.3 0.08 0.02 0.01

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MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 19 0.2 0.05 0.02 0.01 13 0.2 0.06 0.02 0.01*India, Bangalore 21 0.2 0.05 0.01 0.00 16 0.2 0.05 0.01 0.00 India, Chennai (Madras) 29 0.4 0.07 0.02 0.01 17 0.2 0.06 0.01 0.00*India, Delhi 86 0.5 0.05 0.03 0.01 56 0.3 0.05 0.02 0.00*India, Karunagappally 2 0.3 0.21 0.01 0.01 3 0.4 0.25 0.02 0.01 India, Mumbai (Bombay) 45 0.2 0.03 0.01 0.00 31 0.2 0.03 0.01 0.00*India, Nagpur 6 0.3 0.11 0.01 0.01 9 0.4 0.14 0.02 0.01*India, Poona 7 0.1 0.05 0.00 0.00 5 0.1 0.04 0.00 0.00*India, Trivandrum 2 0.1 0.06 0.01 0.01 2 0.1 0.05 0.01 0.01 Israel: Jews 64 0.6 0.07 0.06 0.01 55 0.4 0.06 0.04 0.01 Israel: Jews born in Israel 24 0.4 0.12 0.04 0.01 23 0.5 0.15 0.04 0.01 Israel: Jews born in Europe or America 29 0.6 0.15 0.06 0.01 26 0.3 0.10 0.04 0.01 Israel: Jews born in Africa or Asia 11 0.3 0.09 0.04 0.01 6 0.1 0.05 0.02 0.01 Israel: Non-Jews 9 0.4 0.14 0.03 0.01 12 0.5 0.16 0.04 0.02 Japan, Hiroshima 6 0.2 0.08 0.01 0.01 4 0.2 0.12 0.01 0.01*Japan, Miyagi Prefecture 20 0.5 0.12 0.03 0.01 13 0.3 0.09 0.02 0.00*Japan, Nagasaki Prefecture 7 0.2 0.07 0.01 0.00 8 0.3 0.13 0.02 0.01*Japan, Osaka Prefecture 34 0.3 0.05 0.01 0.00 19 0.2 0.04 0.01 0.00*Japan, Saga Prefecture 3 0.1 0.05 0.00 0.00 2 0.0 0.03 0.00 0.00*Japan, Yamagata Prefecture 0 - - - - 1 0.0 0.01 0.00 0.00*Korea, Busan 10 0.4 0.12 0.02 0.01 8 0.3 0.11 0.02 0.01*Korea, Daegu 4 0.3 0.13 0.01 0.01 3 0.1 0.07 0.02 0.02*Korea, Kangwha County 1 0.5 0.49 0.08 0.08 0 - - - - *Korea, Seoul 64 0.4 0.05 0.02 0.00 40 0.2 0.04 0.01 0.00*Kuwait: Kuwaitis 1 0.1 0.06 0.01 0.01 1 0.0 0.05 0.00 0.00*Kuwait: Non-Kuwaitis 3 0.1 0.08 0.01 0.00 2 0.6 0.51 0.09 0.08*Oman: Omani 21 1.0 0.23 0.14 0.04 19 0.6 0.15 0.05 0.02*Pakistan, South Karachi 7 0.5 0.21 0.06 0.03 6 0.4 0.20 0.04 0.03*Philippines, Manila 69 0.6 0.08 0.03 0.01 49 0.4 0.07 0.02 0.00*Philippines, Rizal 34 0.3 0.07 0.03 0.01 36 0.3 0.06 0.02 0.01 Singapore: Chinese 7 0.2 0.07 0.01 0.01 1 0.0 0.03 0.00 0.00 Singapore: Indian 0 - - - - 0 - - - - Singapore: Malay 3 0.4 0.21 0.03 0.02 3 0.3 0.19 0.01 0.01*Thailand, Bangkok 17 0.3 0.08 0.02 0.01 17 0.3 0.08 0.02 0.00*Thailand, Chiang Mai 12 0.3 0.10 0.03 0.01 10 0.3 0.11 0.02 0.01*Thailand, Khon Kaen 4 0.1 0.06 0.01 0.01 9 0.2 0.08 0.02 0.01*Thailand, Lampang 5 0.3 0.12 0.03 0.01 3 0.2 0.11 0.02 0.01*Thailand, Songkhla 5 0.3 0.13 0.04 0.02 3 0.1 0.07 0.01 0.01*Viet Nam, Hanoi 24 0.5 0.10 - - 17 0.3 0.08 - - *Viet Nam, Ho Chi Minh City 21 0.3 0.07 0.02 0.01 19 0.3 0.06 0.02 0.01

Europe Austria, Tyrol 8 0.4 0.14 0.05 0.02 15 0.6 0.17 0.05 0.02 Austria, Vorarlberg 2 0.1 0.11 0.01 0.01 0 - - - -

+*Belarus 209 0.8 0.06 0.08 0.01 223 0.6 0.05 0.07 0.00*Belgium, Flanders, (excl. Limburg) 39 0.5 0.09 0.06 0.01 67 0.8 0.12 0.07 0.01*Belgium, Limburg 6 0.7 0.33 0.07 0.03 4 0.3 0.16 0.05 0.03*Croatia 47 0.3 0.06 0.03 0.01 57 0.3 0.06 0.03 0.00 Czech Republic 216 0.7 0.05 0.07 0.01 238 0.6 0.05 0.07 0.00 Denmark 177 1.0 0.08 0.10 0.01 178 1.0 0.09 0.10 0.01 Estonia 28 0.7 0.14 0.08 0.02 43 0.8 0.14 0.08 0.01 Finland 146 0.9 0.08 0.09 0.01 142 0.8 0.08 0.08 0.01 France, Bas-Rhin 32 1.2 0.23 0.11 0.02 17 0.4 0.13 0.05 0.01*France, Calvados 9 0.4 0.13 0.07 0.02 10 0.4 0.15 0.04 0.02 France, Cote d’Or France, Doubs 12 0.8 0.25 0.10 0.03 8 0.4 0.14 0.04 0.02 France, Haut-Rhin 16 0.9 0.24 0.07 0.02 20 0.7 0.17 0.09 0.02*France, Herault 11 0.4 0.15 0.03 0.01 8 0.3 0.13 0.03 0.01 France, Isere 35 1.2 0.22 0.11 0.02 27 0.6 0.14 0.08 0.02*France, Manche 9 0.9 0.35 0.09 0.03 5 0.4 0.25 0.04 0.02*France, Somme 20 1.4 0.34 0.14 0.03 12 0.6 0.18 0.06 0.02 France, Tarn 6 0.4 0.16 0.05 0.02 6 0.4 0.15 0.05 0.02 Germany, Saarland 26 0.8 0.19 0.09 0.02 20 0.5 0.15 0.05 0.01 Iceland 3 0.4 0.22 0.07 0.04 5 0.8 0.37 0.06 0.03 Ireland 72 0.9 0.11 0.08 0.01 79 0.9 0.11 0.10 0.01 Italy, Biella Province 1 0.3 0.26 0.02 0.02 4 0.5 0.25 0.10 0.05 Italy, Ferrara Province 9 0.5 0.20 0.06 0.02 16 0.7 0.21 0.09 0.03*Italy, Florence 19 0.5 0.15 0.05 0.01 27 0.6 0.15 0.06 0.01 Italy, Genoa Province 21 1.1 0.35 0.09 0.02 9 0.2 0.09 0.03 0.01 Italy, Liguria Italy, Macerata Province 10 0.9 0.45 0.09 0.04 3 0.1 0.07 0.01 0.01 Italy, Modena Province 8 0.4 0.13 0.04 0.01 1 0.0 0.01 - - Italy, North East 24 0.5 0.12 0.06 0.01 23 0.6 0.17 0.05 0.01

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rates and standard errorsEye (C69) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 9 0.8 0.39 0.06 0.02 11 0.4 0.14 0.05 0.02*Italy, Ragusa Province 5 0.6 0.31 0.04 0.02 2 0.2 0.15 0.02 0.02 Italy, Romagna 27 0.7 0.18 0.07 0.02 26 0.8 0.23 0.07 0.02 Italy, Sassari 4 0.3 0.23 0.04 0.02 2 0.3 0.24 0.02 0.01 Italy, Torino 21 1.0 0.30 0.07 0.02 9 0.2 0.08 0.02 0.01 Italy, Umbria 15 1.0 0.38 0.09 0.03 14 0.8 0.30 0.07 0.02 Italy, Varese Province 15 0.5 0.12 0.06 0.02 17 0.5 0.17 0.04 0.01 Italy, Venetian Region 33 0.5 0.09 0.08 0.01 31 0.6 0.15 0.05 0.01*Latvia 38 0.5 0.08 0.06 0.01 45 0.5 0.08 0.05 0.01 Lithuania 82 0.9 0.10 0.09 0.01 88 0.8 0.09 0.07 0.01 Malta 8 0.9 0.33 0.06 0.03 1 0.1 0.08 0.01 0.01 The Netherlands 353 0.8 0.05 0.08 0.00 336 0.7 0.04 0.06 0.00 The Netherlands, Eindhoven 29 1.0 0.18 0.10 0.02 14 0.4 0.11 0.05 0.01 The Netherlands, Maastricht 12 0.5 0.16 0.05 0.02 19 0.6 0.18 0.07 0.02 Norway 135 1.0 0.09 0.10 0.01 142 0.9 0.09 0.09 0.01*Poland, Cracow 11 0.5 0.15 0.04 0.02 13 0.4 0.13 0.06 0.02*Poland, Kielce 13 0.5 0.15 0.04 0.02 13 0.4 0.12 0.04 0.01*Poland, Lower Silesia 52 0.8 0.12 0.08 0.01 69 0.7 0.09 0.07 0.01 Poland, Warsaw City 17 0.4 0.13 0.03 0.01 29 0.6 0.13 0.05 0.01*Portugal, Vila Nova de Gaia 7 1.4 0.58 0.15 0.07 2 0.3 0.19 0.03 0.02*Russia, St Petersburg 37 0.5 0.10 0.04 0.01 45 0.4 0.08 0.03 0.01 Slovakia 118 0.9 0.08 0.09 0.01 113 0.7 0.07 0.07 0.01 Slovenia 47 0.8 0.13 0.10 0.02 31 0.5 0.11 0.05 0.01 Spain, Albacete 8 0.6 0.24 0.09 0.03 7 0.5 0.22 0.03 0.02 Spain, Asturias 17 0.5 0.14 0.07 0.02 4 0.1 0.06 0.01 0.01*Spain, Canary Islands 16 0.8 0.21 0.07 0.02 6 0.2 0.13 0.01 0.01 Spain, Cuenca 2 0.1 0.10 0.01 0.01 3 0.5 0.32 0.05 0.03 Spain, Girona 4 0.5 0.30 0.04 0.02 8 0.7 0.27 0.07 0.03 Spain, Granada 22 0.9 0.22 0.09 0.02 8 0.3 0.13 0.03 0.01 Spain, Mallorca 8 0.6 0.25 0.05 0.02 6 0.3 0.15 0.04 0.02 Spain, Murcia 14 0.5 0.15 0.05 0.02 10 0.4 0.13 0.03 0.01 Spain, Navarra 10 0.4 0.13 0.05 0.02 7 0.2 0.08 0.02 0.01 Spain, Tarragona 9 0.6 0.25 0.05 0.02 8 0.5 0.23 0.05 0.02*Spain, Zaragoza 8 0.2 0.08 0.03 0.01 10 0.2 0.08 0.02 0.01 Sweden 281 0.9 0.06 0.09 0.01 265 0.8 0.06 0.07 0.01 Switzerland, Basel 9 0.7 0.27 0.06 0.02 12 0.7 0.27 0.06 0.02 Switzerland, Geneva 12 0.9 0.33 0.05 0.02 12 1.0 0.32 0.10 0.03 Switzerland, Graubunden and Glarus 3 0.3 0.19 0.02 0.02 0 - - - - Switzerland, Neuchatel 2 0.4 0.27 0.03 0.03 3 0.5 0.31 0.09 0.05 Switzerland, St Gall-Appenzell 13 0.9 0.30 0.07 0.03 5 0.3 0.13 0.03 0.01*Switzerland, Ticino 4 2.1 1.22 0.12 0.06 2 1.0 0.90 0.07 0.05 Switzerland, Valais 5 0.6 0.25 0.09 0.04 3 0.4 0.31 0.03 0.02 Switzerland, Vaud 11 0.8 0.25 0.08 0.03 8 0.4 0.17 0.04 0.02 Switzerland, Zurich 20 0.6 0.15 0.06 0.02 19 0.7 0.20 0.06 0.02*UK, England 1025 0.7 0.02 0.07 0.00 969 0.6 0.02 0.05 0.00 UK, England, East Anglia 54 0.7 0.11 0.07 0.01 47 0.6 0.10 0.06 0.01 UK, England, Merseyside and Cheshire 66 0.8 0.10 0.10 0.01 55 0.6 0.09 0.05 0.01 UK, England, North Western 71 0.6 0.08 0.05 0.01 94 0.7 0.08 0.06 0.01 UK, England, Oxford Region 61 0.8 0.11 0.08 0.01 65 0.9 0.13 0.08 0.01*UK, England, South Thames 153 0.7 0.06 0.07 0.01 165 0.8 0.07 0.07 0.01*UK, England, South and Western Regions 167 0.8 0.07 0.08 0.01 162 0.7 0.07 0.06 0.01 UK, England, Trent 157 0.9 0.08 0.10 0.01 141 0.8 0.07 0.08 0.01*UK, England, West Midlands Region 76 0.5 0.07 0.05 0.01 50 0.3 0.06 0.02 0.00 UK, England, Yorkshire 54 0.5 0.07 0.04 0.01 44 0.3 0.06 0.03 0.01 UK, Northern Ireland 36 0.8 0.13 0.08 0.02 32 0.6 0.13 0.05 0.01 UK, Scotland 108 0.7 0.07 0.07 0.01 116 0.6 0.06 0.06 0.01*Yugoslavia, Vojvodina 27 0.4 0.07 0.04 0.01 29 0.4 0.09 0.04 0.01

Oceania Australia, Capital Territory 15 2.0 0.54 0.19 0.07 6 0.7 0.28 0.06 0.03 Australia, New South Wales 236 1.3 0.09 0.13 0.01 173 0.8 0.07 0.08 0.01 Australia, Northern Territory 6 1.5 0.63 0.12 0.06 2 0.4 0.29 0.03 0.02 Australia, Queensland 157 1.5 0.13 0.16 0.02 94 0.9 0.10 0.09 0.01 Australia, South 61 1.1 0.15 0.14 0.02 26 0.5 0.11 0.04 0.01 Australia, Tasmania 12 0.9 0.27 0.11 0.03 14 0.8 0.24 0.06 0.02 Australia, Victoria 151 1.1 0.10 0.12 0.01 104 0.8 0.08 0.07 0.01 Australia, Western 49 1.1 0.16 0.09 0.02 38 0.6 0.11 0.07 0.01 New Zealand 143 1.4 0.12 0.14 0.01 102 0.9 0.10 0.09 0.01 USA, Hawaii: White 3 0.3 0.15 0.05 0.03 3 0.4 0.26 0.06 0.03 USA, Hawaii: Chinese 1 0.6 0.57 0.05 0.05 1 0.9 0.85 0.05 0.05 USA, Hawaii: Filipino 1 0.2 0.24 0.02 0.02 0 - - - - USA, Hawaii: Hawaiian 3 0.5 0.29 0.02 0.01 1 0.2 0.17 0.01 0.01 USA, Hawaii: Japanese 2 0.2 0.13 0.01 0.01 1 0.0 0.03 - -

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsBrain, nervous system (C70-72)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 128 2.7 0.25 0.28 0.03 70 1.4 0.18 0.11 0.02*France, La Reunion 14 2.7 0.73 0.26 0.08 11 1.9 0.58 0.25 0.09*The Gambia 1 0.1 0.06 - - 1 0.2 0.24 - - *Mali, Bamako 0 - - - - 1 0.1 0.06 0.00 0.00*Uganda, Kyadondo County 11 0.8 0.30 0.08 0.04 6 0.4 0.19 0.03 0.02*Zimbabwe, Harare: African 47 2.3 0.46 0.28 0.08 31 1.4 0.35 0.15 0.07

America, Central and South*Argentina, Bahia Blanca 52 5.2 0.72 0.54 0.08 49 4.3 0.63 0.46 0.07*Argentina, Concordia 9 2.8 0.94 0.28 0.11 7 1.6 0.63 0.14 0.07*Brazil, Campinas 89 5.0 0.55 0.49 0.07 57 2.8 0.38 0.28 0.04*Brazil, Goiania 128 8.0 0.75 0.82 0.10 91 5.1 0.56 0.52 0.07 Colombia, Cali 162 5.0 0.41 0.51 0.05 135 3.6 0.32 0.36 0.04*Costa Rica 110 3.7 0.37 0.33 0.04 87 3.0 0.33 0.29 0.04*Cuba, Villa Clara 82 5.9 0.68 0.65 0.08 43 2.8 0.45 0.26 0.05*Ecuador, Quito 102 3.8 0.41 0.36 0.05 95 3.3 0.36 0.33 0.05*France, Martinique 22 2.7 0.59 0.25 0.06 15 1.6 0.42 0.14 0.04*USA, Puerto Rico 171 4.8 0.37 0.45 0.04 141 3.4 0.30 0.34 0.03*Uruguay, Montevideo 179 8.4 0.65 0.87 0.07 192 6.8 0.55 0.67 0.05

America, North Canada 5813 6.9 0.09 0.70 0.01 4658 5.0 0.08 0.49 0.01 Canada, Alberta 467 6.3 0.30 0.62 0.03 325 4.2 0.25 0.44 0.03 Canada, British Columbia 720 6.4 0.25 0.66 0.03 508 4.3 0.21 0.42 0.02 Canada, Manitoba 211 6.5 0.47 0.63 0.05 185 4.9 0.41 0.48 0.04 Canada, New Brunswick 133 6.1 0.56 0.63 0.06 121 5.0 0.51 0.46 0.05 Canada, Newfoundland 90 5.9 0.64 0.59 0.07 62 4.0 0.54 0.36 0.05 Canada, Northwest Territories 15 4.3 1.23 0.52 0.20 11 3.0 1.02 0.32 0.18 Canada, Nova Scotia 188 7.1 0.55 0.71 0.06 138 4.2 0.41 0.42 0.04 Canada, Ontario 2207 7.0 0.16 0.71 0.02 1870 5.4 0.14 0.53 0.01 Canada, Prince Edward Island 17 4.4 1.11 0.38 0.11 16 3.9 1.07 0.40 0.11+Canada, Quebec 1579 7.5 0.20 0.78 0.02 1281 5.3 0.16 0.53 0.02 Canada, Saskatchewan 195 6.7 0.51 0.69 0.06 142 4.7 0.43 0.46 0.04 Canada, Yukon 15 6.7 1.79 0.58 0.17 6 3.1 1.42 0.31 0.18 USA, California, Los Angeles: Non-Hispanic White 772 7.0 0.29 0.69 0.03 636 5.3 0.26 0.49 0.02 USA, California, Los Angeles: Hispanic White 284 5.0 0.34 0.54 0.05 259 4.2 0.28 0.38 0.03 USA, California, Los Angeles: Black 110 4.8 0.47 0.46 0.05 82 3.0 0.34 0.28 0.04 USA, California, Los Angeles: Chinese 27 3.5 0.72 0.23 0.06 16 1.9 0.51 0.16 0.05 USA, California, Los Angeles: Filipino 16 2.5 0.66 0.30 0.10 19 2.6 0.63 0.24 0.06 USA, California, Los Angeles: Japanese 5 1.0 0.50 0.08 0.05 9 2.0 0.71 0.16 0.07 USA, California, Los Angeles: Korean 15 3.2 0.88 0.24 0.07 10 2.1 0.70 0.20 0.07 USA, California, San Francisco: Non-Hispanic White 517 8.0 0.39 0.81 0.04 365 4.9 0.30 0.49 0.03 USA, California, San Francisco: Hispanic White 69 6.1 0.76 0.66 0.10 34 2.5 0.44 0.26 0.06 USA, California, San Francisco: Black 52 4.4 0.64 0.38 0.07 36 2.9 0.52 0.30 0.06 USA, Connecticut: White 606 7.1 0.31 0.69 0.03 511 5.1 0.26 0.50 0.03 USA, Connecticut: Black 24 3.8 0.79 0.36 0.09 23 2.9 0.63 0.22 0.06 USA, Georgia, Atlanta: White 273 6.8 0.43 0.69 0.05 246 5.3 0.37 0.55 0.04 USA, Georgia, Atlanta: Black 46 2.8 0.45 0.25 0.05 60 2.8 0.39 0.27 0.04 USA, Iowa 570 7.0 0.31 0.67 0.03 468 4.9 0.26 0.50 0.03 USA, Louisiana, Central Region: White 33 4.9 0.87 0.52 0.10 26 3.9 0.87 0.36 0.08 USA, Louisiana, Central Region: Black 3 1.7 0.99 0.12 0.08 7 2.4 1.01 0.22 0.12 USA, Louisiana, New Orleans: White 109 6.2 0.65 0.59 0.07 93 4.5 0.56 0.43 0.05 USA, Louisiana, New Orleans: Black 38 4.4 0.72 0.46 0.10 40 3.6 0.59 0.31 0.06 USA, Michigan, Detroit: White 619 7.2 0.31 0.69 0.03 497 4.9 0.25 0.48 0.02 USA, Michigan, Detroit: Black 94 4.2 0.44 0.40 0.05 82 2.9 0.34 0.25 0.03 USA, New Jersey: White 1346 6.9 0.20 0.69 0.02 1160 4.9 0.17 0.49 0.02 USA, New Jersey: Black 112 4.3 0.41 0.41 0.05 102 3.3 0.33 0.27 0.03 USA, New Mexico: Non-Hispanic White 177 6.8 0.55 0.69 0.06 131 4.3 0.43 0.43 0.04 USA, New Mexico: Hispanic White 76 5.0 0.58 0.48 0.07 38 2.4 0.39 0.20 0.04 USA, New Mexico: American Indian 10 3.6 1.20 0.36 0.17 5 1.1 0.50 0.08 0.03 USA, New York State: White 3079 7.5 0.14 0.74 0.02 2702 5.4 0.12 0.53 0.01 USA, New York State: Black 269 3.8 0.24 0.39 0.03 266 2.9 0.18 0.29 0.02 USA, Utah 304 6.4 0.37 0.63 0.04 258 5.2 0.33 0.48 0.04 USA, Washington, Seattle 714 7.0 0.28 0.68 0.03 501 4.5 0.22 0.43 0.02 USA, SEER: White 3913 7.0 0.12 0.69 0.01 3041 4.8 0.10 0.47 0.01 USA, SEER: Black 248 4.0 0.26 0.37 0.03 222 3.0 0.21 0.28 0.02

Asia*China, Beijing 262 3.5 0.23 0.36 0.03 232 3.3 0.24 0.34 0.02

+*China, Changle *China, Cixian *China, Hong Kong 614 3.8 0.16 0.34 0.02 503 2.9 0.14 0.26 0.01*China, Jiashan 48 4.8 0.73 0.48 0.08 26 2.4 0.48 0.26 0.05

+*China, Qidong County 133 4.6 0.40 0.48 0.05 109 3.6 0.36 0.37 0.04+*China, Shanghai 1159 5.4 0.18 0.56 0.02 1264 5.7 0.18 0.61 0.02

*China, Taiwan 433 3.8 0.19 0.35 0.02 304 2.8 0.17 0.25 0.02*China, Tianjin 702 6.7 0.27 0.70 0.03 783 6.8 0.27 0.74 0.03+China, Wuhan 567 5.4 0.24 0.58 0.03 428 4.1 0.21 0.43 0.02

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rates and standard errorsBrain, nervous system (C70-72) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 203 2.5 0.19 0.26 0.03 118 1.5 0.15 0.14 0.02*India, Bangalore 255 2.6 0.17 0.27 0.02 157 1.6 0.14 0.15 0.02 India, Chennai (Madras) 280 3.0 0.19 0.29 0.02 152 1.7 0.15 0.16 0.02*India, Delhi 783 4.6 0.18 0.46 0.02 438 3.1 0.16 0.33 0.02*India, Karunagappally 20 1.9 0.44 0.15 0.04 15 1.5 0.39 0.12 0.04 India, Mumbai (Bombay) 820 3.5 0.13 0.35 0.02 458 2.3 0.12 0.23 0.02*India, Nagpur 99 3.9 0.42 0.37 0.05 51 2.3 0.35 0.20 0.04*India, Poona 194 3.5 0.27 0.35 0.03 119 2.5 0.24 0.25 0.03*India, Trivandrum 60 2.4 0.32 0.21 0.03 52 1.8 0.26 0.18 0.03 Israel: Jews 746 6.4 0.24 0.64 0.03 594 4.5 0.19 0.46 0.02 Israel: Jews born in Israel 263 6.2 0.54 0.67 0.08 184 4.0 0.41 0.40 0.06 Israel: Jews born in Europe or America 340 8.3 0.63 0.79 0.05 298 6.2 0.77 0.57 0.04 Israel: Jews born in Africa or Asia 143 7.6 2.35 0.62 0.11 112 3.4 0.52 0.38 0.04 Israel: Non-Jews 87 4.5 0.54 0.44 0.07 51 2.5 0.38 0.22 0.04 Japan, Hiroshima 75 2.5 0.31 0.22 0.03 50 1.6 0.25 0.15 0.02*Japan, Miyagi Prefecture 185 2.8 0.23 0.25 0.02 144 1.9 0.18 0.16 0.02*Japan, Nagasaki Prefecture 112 2.4 0.26 0.22 0.02 111 2.0 0.24 0.18 0.02*Japan, Osaka Prefecture 673 2.7 0.12 0.24 0.01 652 2.1 0.10 0.19 0.01*Japan, Saga Prefecture 53 2.0 0.33 0.16 0.03 69 2.1 0.30 0.18 0.03*Japan, Yamagata Prefecture 110 2.3 0.25 0.23 0.03 99 1.8 0.24 0.16 0.02*Korea, Busan 111 3.2 0.33 0.30 0.04 112 3.0 0.29 0.29 0.03*Korea, Daegu 51 2.3 0.35 0.21 0.04 52 2.2 0.33 0.16 0.03*Korea, Kangwha County 4 2.6 1.55 0.15 0.09 4 1.4 0.75 0.19 0.10*Korea, Seoul 840 3.9 0.15 0.38 0.02 737 3.1 0.12 0.31 0.01*Kuwait: Kuwaitis 43 5.2 0.90 0.55 0.13 34 3.3 0.63 0.28 0.06*Kuwait: Non-Kuwaitis 51 5.0 1.51 0.32 0.10 28 3.0 0.87 0.36 0.17*Oman: Omani 77 2.5 0.32 0.23 0.04 48 1.7 0.27 0.15 0.03*Pakistan, South Karachi 75 3.5 0.44 0.32 0.05 36 1.8 0.33 0.15 0.03*Philippines, Manila 271 3.0 0.21 0.30 0.03 229 2.3 0.17 0.24 0.02*Philippines, Rizal 218 2.5 0.20 0.25 0.03 156 1.6 0.14 0.17 0.02 Singapore: Chinese 135 2.5 0.22 0.22 0.02 109 1.9 0.19 0.19 0.02 Singapore: Indian 14 2.7 0.74 0.18 0.05 5 1.1 0.52 0.10 0.06 Singapore: Malay 24 2.5 0.53 0.22 0.06 24 2.4 0.50 0.15 0.04*Thailand, Bangkok 187 2.4 0.19 0.21 0.02 167 2.0 0.16 0.19 0.02*Thailand, Chiang Mai 49 1.4 0.21 0.12 0.02 53 1.5 0.21 0.15 0.02*Thailand, Khon Kaen 108 2.7 0.27 0.22 0.03 102 2.5 0.25 0.24 0.03*Thailand, Lampang 24 1.2 0.26 0.12 0.03 9 0.5 0.17 0.04 0.01*Thailand, Songkhla 42 1.9 0.31 0.16 0.03 42 2.0 0.31 0.18 0.03*Viet Nam, Hanoi 34 0.7 0.12 - - 27 0.5 0.10 - - *Viet Nam, Ho Chi Minh City 174 2.3 0.19 0.22 0.02 134 1.5 0.13 0.13 0.01

Europe Austria, Tyrol 79 4.3 0.50 0.44 0.06 83 3.9 0.48 0.39 0.05 Austria, Vorarlberg 61 6.7 0.88 0.68 0.10 58 5.7 0.79 0.56 0.08

+*Belarus 1247 4.8 0.14 0.46 0.01 1114 3.7 0.12 0.33 0.01*Belgium, Flanders, (excl. Limburg) 457 6.8 0.35 0.68 0.03 356 5.0 0.31 0.48 0.03*Belgium, Limburg 63 6.6 0.87 0.68 0.09 52 5.4 0.84 0.54 0.08*Croatia 1270 9.3 0.27 1.05 0.03 1088 6.5 0.22 0.72 0.02 Czech Republic 1798 6.1 0.15 0.63 0.02 1462 4.2 0.12 0.43 0.01 Denmark 1145 7.3 0.23 0.71 0.02 856 5.0 0.19 0.48 0.02 Estonia 227 5.9 0.41 0.60 0.04 221 4.6 0.34 0.43 0.03 Finland 970 6.7 0.23 0.63 0.02 803 5.0 0.20 0.45 0.02 France, Bas-Rhin 166 6.0 0.48 0.63 0.05 116 3.3 0.34 0.37 0.04*France, Calvados 89 5.0 0.55 0.54 0.06 56 2.7 0.38 0.31 0.04 France, Cote d’Or France, Doubs 82 5.5 0.62 0.55 0.07 49 2.7 0.42 0.33 0.05 France, Haut-Rhin 121 6.0 0.56 0.69 0.07 106 4.8 0.51 0.52 0.05*France, Herault 143 5.8 0.53 0.56 0.05 116 4.2 0.43 0.41 0.04 France, Isere 213 7.1 0.50 0.69 0.05 170 5.0 0.42 0.45 0.04*France, Manche 71 6.2 0.78 0.63 0.08 44 3.6 0.60 0.36 0.06*France, Somme 82 5.2 0.60 0.54 0.06 73 4.3 0.56 0.44 0.05 France, Tarn 57 5.3 0.81 0.51 0.07 53 3.8 0.63 0.41 0.06 Germany, Saarland 241 7.2 0.52 0.72 0.05 197 5.4 0.47 0.51 0.04 Iceland 53 7.2 1.01 0.73 0.12 42 5.6 0.92 0.54 0.10 Ireland 595 7.6 0.32 0.80 0.04 443 5.2 0.27 0.51 0.03 Italy, Biella Province 22 6.6 1.83 0.61 0.14 20 3.4 0.84 0.43 0.10 Italy, Ferrara Province 97 7.7 1.00 0.79 0.09 75 5.5 0.99 0.50 0.07*Italy, Florence 266 6.0 0.42 0.67 0.04 245 5.1 0.45 0.49 0.04 Italy, Genoa Province 165 5.8 0.56 0.60 0.05 158 4.9 0.60 0.45 0.04 Italy, Liguria Italy, Macerata Province 79 6.8 0.91 0.70 0.09 50 3.2 0.55 0.42 0.07 Italy, Modena Province 145 6.5 0.60 0.69 0.06 106 4.8 0.61 0.45 0.05 Italy, North East 297 6.7 0.45 0.66 0.04 295 5.4 0.39 0.57 0.04

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rates and standard errorsBrain, nervous system (C70-72) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 116 8.3 0.99 0.81 0.08 92 4.7 0.65 0.52 0.06*Italy, Ragusa Province 56 5.8 0.84 0.60 0.09 40 3.6 0.66 0.39 0.07 Italy, Romagna 248 6.6 0.47 0.65 0.05 217 5.4 0.51 0.54 0.04 Italy, Sassari 108 6.9 0.71 0.80 0.09 125 7.1 0.68 0.78 0.08 Italy, Torino 236 7.7 0.62 0.78 0.06 186 5.0 0.53 0.47 0.04 Italy, Umbria 149 8.3 0.83 0.81 0.07 114 6.1 0.80 0.58 0.06 Italy, Varese Province 175 7.1 0.62 0.68 0.06 179 5.9 0.58 0.54 0.05 Italy, Venetian Region 327 6.7 0.43 0.69 0.04 315 5.3 0.39 0.53 0.03*Latvia 311 4.6 0.27 0.46 0.03 301 3.3 0.20 0.35 0.02 Lithuania 563 5.9 0.26 0.62 0.03 528 4.4 0.21 0.44 0.02 Malta 53 4.9 0.69 0.49 0.08 44 4.0 0.66 0.33 0.06 The Netherlands 2831 6.2 0.12 0.64 0.01 2079 4.4 0.11 0.43 0.01 The Netherlands, Eindhoven 178 6.2 0.49 0.60 0.05 126 4.7 0.45 0.43 0.04 The Netherlands, Maastricht 156 5.6 0.48 0.58 0.05 119 4.6 0.48 0.43 0.04 Norway 1052 7.8 0.26 0.76 0.03 962 6.5 0.24 0.62 0.02*Poland, Cracow 136 7.0 0.64 0.71 0.07 124 4.8 0.49 0.51 0.05*Poland, Kielce 164 6.7 0.54 0.73 0.06 147 5.2 0.45 0.54 0.05*Poland, Lower Silesia 634 8.1 0.33 0.89 0.04 581 6.2 0.28 0.64 0.03 Poland, Warsaw City 372 7.7 0.44 0.82 0.05 395 6.0 0.36 0.64 0.04*Portugal, Vila Nova de Gaia 54 8.3 1.23 0.85 0.13 35 4.1 0.74 0.51 0.10*Russia, St Petersburg 456 4.9 0.25 0.48 0.03 507 3.8 0.21 0.36 0.02 Slovakia 889 6.5 0.22 0.69 0.03 750 4.7 0.18 0.47 0.02 Slovenia 269 4.9 0.32 0.49 0.03 231 3.6 0.26 0.37 0.03 Spain, Albacete 51 4.4 0.65 0.51 0.08 57 5.4 0.84 0.49 0.07 Spain, Asturias 151 5.0 0.43 0.55 0.05 142 4.1 0.41 0.44 0.04*Spain, Canary Islands 158 7.4 0.61 0.75 0.07 108 4.8 0.49 0.47 0.05 Spain, Cuenca 58 7.5 1.22 0.74 0.11 43 4.9 0.89 0.57 0.10 Spain, Girona 67 6.3 0.83 0.66 0.09 54 5.3 0.84 0.52 0.08 Spain, Granada 131 5.5 0.51 0.54 0.05 113 4.1 0.43 0.43 0.04 Spain, Mallorca 96 6.3 0.71 0.64 0.07 64 3.7 0.55 0.37 0.05 Spain, Murcia 152 6.4 0.55 0.64 0.06 103 4.1 0.44 0.40 0.04 Spain, Navarra 147 8.5 0.78 0.90 0.08 121 5.8 0.60 0.65 0.07 Spain, Tarragona 150 7.5 0.65 0.85 0.08 119 5.6 0.60 0.59 0.06*Spain, Zaragoza 212 8.1 0.64 0.81 0.06 157 4.9 0.48 0.51 0.05 Sweden 1739 6.6 0.17 0.64 0.02 1320 4.7 0.15 0.47 0.01 Switzerland, Basel 89 6.3 0.73 0.63 0.07 80 4.6 0.61 0.51 0.06 Switzerland, Geneva 87 7.2 0.85 0.70 0.08 54 3.7 0.58 0.42 0.07 Switzerland, Graubunden and Glarus 43 6.4 1.05 0.63 0.11 29 3.9 0.80 0.43 0.09 Switzerland, Neuchatel 18 4.2 1.07 0.49 0.13 18 3.4 1.04 0.33 0.10 Switzerland, St Gall-Appenzell 95 6.2 0.68 0.58 0.07 65 4.0 0.53 0.44 0.06*Switzerland, Ticino 15 3.7 0.95 0.40 0.11 21 5.9 1.56 0.52 0.12 Switzerland, Valais 48 6.5 1.00 0.65 0.10 31 3.4 0.67 0.37 0.07 Switzerland, Vaud 102 7.2 0.78 0.73 0.08 66 3.6 0.51 0.39 0.06 Switzerland, Zurich 176 6.0 0.49 0.62 0.05 132 4.1 0.41 0.41 0.04*UK, England 10006 6.5 0.07 0.68 0.01 7749 4.5 0.06 0.45 0.01 UK, England, East Anglia 511 7.0 0.34 0.74 0.04 350 4.5 0.28 0.48 0.03 UK, England, Merseyside and Cheshire 462 6.3 0.31 0.67 0.03 366 4.5 0.27 0.44 0.03 UK, England, North Western 773 6.2 0.24 0.65 0.03 592 4.4 0.20 0.44 0.02 UK, England, Oxford Region 548 6.8 0.30 0.73 0.04 415 4.7 0.26 0.47 0.03*UK, England, South Thames 1440 6.8 0.19 0.72 0.02 1126 4.8 0.16 0.48 0.02*UK, England, South and Western Regions 1577 7.3 0.20 0.76 0.02 1212 5.3 0.18 0.51 0.02 UK, England, Trent 1071 7.0 0.23 0.73 0.02 823 4.8 0.19 0.49 0.02*UK, England, West Midlands Region 1073 6.3 0.21 0.68 0.02 808 4.4 0.18 0.45 0.02 UK, England, Yorkshire 696 6.0 0.24 0.64 0.03 522 4.3 0.21 0.43 0.02 UK, Northern Ireland 312 6.9 0.40 0.70 0.04 238 4.9 0.34 0.46 0.03 UK, Scotland 967 6.2 0.21 0.64 0.02 820 4.6 0.18 0.47 0.02*Yugoslavia, Vojvodina 381 5.9 0.32 0.62 0.03 258 3.7 0.25 0.38 0.02

Oceania Australia, Capital Territory 62 8.5 1.10 0.99 0.15 35 4.4 0.77 0.46 0.09 Australia, New South Wales 1225 6.9 0.21 0.70 0.02 956 5.0 0.17 0.51 0.02 Australia, Northern Territory 18 4.0 1.02 0.37 0.15 13 3.9 1.21 0.45 0.17 Australia, Queensland 673 7.3 0.29 0.71 0.03 473 4.9 0.24 0.46 0.02 Australia, South 312 7.0 0.42 0.73 0.05 236 5.2 0.37 0.52 0.04 Australia, Tasmania 100 7.2 0.74 0.77 0.09 78 5.8 0.70 0.53 0.07 Australia, Victoria 930 7.0 0.24 0.71 0.03 742 5.2 0.21 0.50 0.02 Australia, Western 290 5.9 0.36 0.59 0.04 219 4.4 0.31 0.43 0.03 New Zealand 681 6.7 0.27 0.65 0.03 550 5.0 0.23 0.50 0.02 USA, Hawaii: White 55 6.2 0.90 0.60 0.10 37 4.6 0.84 0.40 0.08 USA, Hawaii: Chinese 9 6.3 2.39 0.47 0.17 5 3.1 1.82 0.19 0.11 USA, Hawaii: Filipino 17 3.6 0.90 0.33 0.09 15 3.2 0.87 0.34 0.10 USA, Hawaii: Hawaiian 18 3.2 0.78 0.27 0.08 23 4.1 0.86 0.33 0.09 USA, Hawaii: Japanese 31 3.2 0.73 0.32 0.07 26 2.8 0.75 0.23 0.05

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rates and standard errorsThyroid (C73)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 52 1.2 0.18 0.14 0.02 192 4.2 0.32 0.43 0.04*France, La Reunion 2 0.4 0.29 0.02 0.02 9 1.3 0.44 0.09 0.03*The Gambia 0 - - - - 4 1.0 0.78 - - *Mali, Bamako 1 0.1 0.11 0.01 0.01 5 0.7 0.38 0.07 0.04*Uganda, Kyadondo County 6 0.6 0.33 0.06 0.04 47 4.6 0.78 0.49 0.09*Zimbabwe, Harare: African 13 0.7 0.27 0.07 0.03 31 3.6 0.76 0.47 0.13

America, Central and South*Argentina, Bahia Blanca 11 1.1 0.34 0.10 0.03 31 2.8 0.53 0.25 0.05*Argentina, Concordia 3 0.9 0.54 0.08 0.06 10 2.7 0.87 0.22 0.08*Brazil, Campinas 20 1.1 0.25 0.12 0.03 52 2.3 0.32 0.23 0.04*Brazil, Goiania 33 2.1 0.39 0.23 0.06 111 6.0 0.60 0.60 0.08 Colombia, Cali 55 1.6 0.24 0.16 0.03 270 6.7 0.44 0.67 0.05*Costa Rica 29 1.1 0.20 0.11 0.02 198 6.4 0.47 0.64 0.06*Cuba, Villa Clara 17 1.2 0.29 0.11 0.03 108 7.2 0.71 0.65 0.07*Ecuador, Quito 52 2.2 0.33 0.28 0.05 247 8.0 0.54 0.80 0.07*France, Martinique 10 1.0 0.31 0.09 0.03 41 3.6 0.58 0.38 0.07*USA, Puerto Rico 48 1.3 0.19 0.15 0.03 197 4.8 0.35 0.45 0.04*Uruguay, Montevideo 25 1.1 0.23 0.13 0.03 123 4.7 0.45 0.44 0.04

America, North Canada 1900 2.1 0.05 0.22 0.01 5816 6.4 0.09 0.59 0.01 Canada, Alberta 155 2.0 0.16 0.21 0.02 512 6.4 0.29 0.62 0.03 Canada, British Columbia 220 1.9 0.13 0.19 0.01 637 5.4 0.22 0.50 0.02 Canada, Manitoba 59 1.7 0.23 0.18 0.03 206 5.9 0.43 0.56 0.04 Canada, New Brunswick 39 1.7 0.28 0.18 0.03 134 5.7 0.52 0.52 0.05 Canada, Newfoundland 35 2.1 0.35 0.21 0.04 106 6.2 0.62 0.61 0.07 Canada, Northwest Territories 6 2.1 0.93 0.30 0.17 12 2.8 0.90 0.19 0.06 Canada, Nova Scotia 38 1.3 0.22 0.13 0.02 140 4.7 0.42 0.44 0.04 Canada, Ontario 844 2.6 0.09 0.26 0.01 2696 7.9 0.16 0.73 0.02 Canada, Prince Edward Island 7 1.8 0.71 0.22 0.09 19 5.1 1.22 0.39 0.10+Canada, Quebec 433 2.0 0.10 0.20 0.01 1215 5.3 0.16 0.49 0.02 Canada, Saskatchewan 62 1.8 0.24 0.19 0.03 144 4.7 0.42 0.44 0.04 Canada, Yukon 5 2.3 1.08 0.25 0.12 8 3.2 1.19 0.29 0.12 USA, California, Los Angeles: Non-Hispanic White 362 2.9 0.16 0.31 0.02 906 7.6 0.28 0.71 0.03 USA, California, Los Angeles: Hispanic White 108 2.1 0.23 0.25 0.04 525 7.7 0.36 0.74 0.04 USA, California, Los Angeles: Black 31 1.3 0.23 0.14 0.03 108 3.5 0.35 0.36 0.04 USA, California, Los Angeles: Chinese 16 1.7 0.44 0.15 0.05 59 6.1 0.81 0.66 0.10 USA, California, Los Angeles: Filipino 33 5.0 0.90 0.59 0.13 117 12.1 1.16 1.13 0.12 USA, California, Los Angeles: Japanese 9 1.6 0.55 0.15 0.06 21 4.8 1.22 0.43 0.10 USA, California, Los Angeles: Korean 8 1.9 0.69 0.24 0.11 39 6.3 1.02 0.63 0.12 USA, California, San Francisco: Non-Hispanic White 195 2.8 0.21 0.30 0.02 490 7.5 0.37 0.64 0.03 USA, California, San Francisco: Hispanic White 31 2.5 0.47 0.25 0.06 128 8.7 0.79 0.81 0.08 USA, California, San Francisco: Black 18 1.5 0.36 0.14 0.04 33 2.7 0.48 0.26 0.05 USA, Connecticut: White 245 2.8 0.18 0.27 0.02 643 6.7 0.28 0.62 0.03 USA, Connecticut: Black 11 1.7 0.54 0.22 0.08 29 3.4 0.65 0.34 0.07 USA, Georgia, Atlanta: White 148 3.3 0.28 0.36 0.03 384 8.1 0.43 0.77 0.04 USA, Georgia, Atlanta: Black 14 0.8 0.22 0.10 0.04 97 3.9 0.42 0.40 0.05 USA, Iowa 231 2.7 0.18 0.29 0.02 671 7.8 0.32 0.71 0.03 USA, Louisiana, Central Region: White 10 1.5 0.49 0.15 0.05 32 4.4 0.84 0.38 0.08 USA, Louisiana, Central Region: Black 1 0.3 0.35 - - 4 1.6 0.83 0.11 0.07 USA, Louisiana, New Orleans: White 40 2.1 0.33 0.21 0.04 142 7.3 0.65 0.70 0.06 USA, Louisiana, New Orleans: Black 5 0.5 0.24 0.05 0.02 42 3.6 0.57 0.37 0.07 USA, Michigan, Detroit: White 271 2.9 0.18 0.32 0.02 729 7.7 0.30 0.71 0.03 USA, Michigan, Detroit: Black 29 1.2 0.23 0.14 0.03 136 4.5 0.40 0.45 0.04 USA, New Jersey: White 517 2.6 0.12 0.27 0.01 1374 6.6 0.19 0.62 0.02 USA, New Jersey: Black 36 1.4 0.24 0.17 0.03 122 3.6 0.33 0.38 0.04 USA, New Mexico: Non-Hispanic White 71 2.7 0.34 0.27 0.04 226 8.9 0.63 0.82 0.06 USA, New Mexico: Hispanic White 41 2.6 0.41 0.28 0.05 150 8.9 0.74 0.88 0.08 USA, New Mexico: American Indian 5 2.2 1.02 0.20 0.12 19 5.5 1.28 0.46 0.12 USA, New York State: White 1207 2.8 0.08 0.29 0.01 3223 7.2 0.13 0.67 0.01 USA, New York State: Black 92 1.3 0.14 0.15 0.02 370 3.8 0.20 0.37 0.02 USA, Utah 150 3.2 0.26 0.34 0.03 438 8.6 0.42 0.80 0.04 USA, Washington, Seattle 272 2.5 0.15 0.25 0.02 889 7.9 0.28 0.72 0.03 USA, SEER: White 1664 2.8 0.07 0.30 0.01 4658 7.7 0.12 0.70 0.01 USA, SEER: Black 86 1.4 0.15 0.15 0.02 323 4.0 0.23 0.40 0.03

Asia*China, Beijing 56 0.7 0.09 0.08 0.01 166 2.1 0.18 0.20 0.02

+*China, Changle *China, Cixian *China, Hong Kong 358 1.9 0.10 0.21 0.01 1344 7.1 0.20 0.68 0.02*China, Jiashan 7 0.6 0.22 0.06 0.02 15 1.2 0.31 0.15 0.04

+*China, Qidong County 6 0.2 0.08 0.03 0.01 19 0.6 0.13 0.06 0.02+*China, Shanghai 249 1.1 0.08 0.11 0.01 861 3.8 0.14 0.37 0.01

*China, Taiwan 183 1.5 0.11 0.15 0.01 727 6.1 0.23 0.57 0.02*China, Tianjin 88 0.7 0.08 0.08 0.01 232 1.9 0.13 0.20 0.01+China, Wuhan 89 0.8 0.08 0.08 0.01 247 2.1 0.14 0.21 0.02

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rates and standard errorsThyroid (C73) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 22 0.3 0.06 0.03 0.01 50 0.8 0.12 0.10 0.02*India, Bangalore 91 0.9 0.10 0.09 0.01 239 2.7 0.19 0.28 0.02 India, Chennai (Madras) 85 1.1 0.12 0.14 0.02 145 1.6 0.14 0.16 0.02*India, Delhi 139 0.9 0.08 0.09 0.01 284 2.1 0.14 0.25 0.02*India, Karunagappally 7 0.7 0.26 0.06 0.03 55 4.9 0.67 0.47 0.08 India, Mumbai (Bombay) 150 0.8 0.07 0.08 0.01 388 2.0 0.11 0.22 0.02*India, Nagpur 12 0.6 0.17 0.07 0.02 39 2.0 0.34 0.22 0.04*India, Poona 33 0.8 0.14 0.09 0.02 55 1.1 0.16 0.11 0.02*India, Trivandrum 46 1.8 0.26 0.18 0.03 152 5.1 0.43 0.45 0.04 Israel: Jews 410 3.5 0.18 0.37 0.02 1209 9.7 0.29 0.96 0.03 Israel: Jews born in Israel 126 3.4 0.40 0.35 0.05 423 8.9 0.55 0.89 0.07 Israel: Jews born in Europe or America 190 4.0 0.34 0.42 0.03 517 10.6 0.55 1.06 0.05 Israel: Jews born in Africa or Asia 94 3.2 0.46 0.34 0.04 269 11.4 1.20 1.01 0.08 Israel: Non-Jews 32 1.8 0.35 0.18 0.04 107 4.8 0.49 0.43 0.05 Japan, Hiroshima 71 2.1 0.26 0.22 0.03 393 10.5 0.54 1.08 0.06*Japan, Miyagi Prefecture 125 1.5 0.14 0.17 0.02 771 9.3 0.35 0.96 0.04*Japan, Nagasaki Prefecture 117 2.2 0.22 0.23 0.02 410 6.7 0.37 0.68 0.04*Japan, Osaka Prefecture 350 1.2 0.06 0.12 0.01 1311 3.8 0.11 0.41 0.01*Japan, Saga Prefecture 39 1.3 0.22 0.14 0.02 108 3.0 0.32 0.33 0.03*Japan, Yamagata Prefecture 60 1.3 0.18 0.13 0.02 374 7.5 0.42 0.77 0.04*Korea, Busan 51 1.6 0.24 0.19 0.04 270 6.1 0.38 0.64 0.05*Korea, Daegu 40 1.8 0.31 0.18 0.04 158 5.8 0.47 0.61 0.06*Korea, Kangwha County 3 1.5 0.88 0.21 0.13 10 5.4 1.84 0.46 0.15*Korea, Seoul 441 1.9 0.10 0.22 0.02 2434 8.5 0.18 0.86 0.02*Kuwait: Kuwaitis 15 1.8 0.50 0.21 0.07 74 7.6 0.99 0.80 0.14*Kuwait: Non-Kuwaitis 37 1.7 0.60 0.27 0.13 86 5.5 0.91 0.45 0.09*Oman: Omani 30 1.5 0.28 0.17 0.04 115 5.3 0.52 0.53 0.06*Pakistan, South Karachi 22 1.2 0.28 0.14 0.04 60 4.2 0.60 0.44 0.08*Philippines, Manila 219 2.9 0.22 0.29 0.03 922 9.7 0.35 1.05 0.05*Philippines, Rizal 171 2.4 0.21 0.28 0.03 724 7.5 0.31 0.79 0.04 Singapore: Chinese 117 1.9 0.18 0.19 0.02 400 5.9 0.30 0.59 0.04 Singapore: Indian 8 1.2 0.45 0.09 0.04 22 3.5 0.77 0.31 0.08 Singapore: Malay 16 2.1 0.53 0.23 0.07 53 5.4 0.78 0.43 0.08*Thailand, Bangkok 95 1.3 0.14 0.13 0.02 374 3.5 0.19 0.34 0.02*Thailand, Chiang Mai 42 1.1 0.18 0.16 0.03 120 2.9 0.27 0.30 0.03*Thailand, Khon Kaen 32 0.9 0.16 0.10 0.02 141 3.3 0.29 0.32 0.03*Thailand, Lampang 15 0.8 0.20 0.12 0.04 47 2.1 0.32 0.26 0.05*Thailand, Songkhla 42 2.0 0.32 0.19 0.03 118 4.8 0.45 0.42 0.05*Viet Nam, Hanoi 58 1.3 0.17 - - 127 2.4 0.21 - - *Viet Nam, Ho Chi Minh City 88 1.3 0.15 0.15 0.02 277 2.8 0.18 0.29 0.02

Europe Austria, Tyrol 85 4.4 0.48 0.48 0.06 185 8.5 0.65 0.86 0.07 Austria, Vorarlberg 26 2.5 0.50 0.32 0.07 50 4.0 0.60 0.37 0.06

+*Belarus 586 2.3 0.09 0.20 0.01 2636 8.5 0.17 0.75 0.02*Belgium, Flanders, (excl. Limburg) 77 1.2 0.14 0.11 0.01 172 2.2 0.19 0.21 0.02*Belgium, Limburg 6 0.6 0.26 0.06 0.03 27 2.7 0.54 0.28 0.06*Croatia 228 1.6 0.11 0.17 0.01 819 5.3 0.19 0.51 0.02 Czech Republic 455 1.4 0.07 0.16 0.01 1568 4.3 0.11 0.43 0.01 Denmark 173 1.0 0.08 0.10 0.01 428 2.3 0.12 0.21 0.01 Estonia 44 1.1 0.16 0.12 0.02 200 3.5 0.27 0.37 0.03 Finland 377 2.3 0.12 0.22 0.01 1355 7.8 0.23 0.75 0.02 France, Bas-Rhin 59 1.9 0.25 0.18 0.03 153 4.8 0.40 0.45 0.04*France, Calvados 31 1.8 0.33 0.18 0.03 193 10.1 0.74 0.97 0.07 France, Cote d’Or France, Doubs 25 1.7 0.35 0.18 0.04 113 7.3 0.71 0.72 0.07 France, Haut-Rhin 33 1.5 0.26 0.18 0.03 66 3.0 0.38 0.27 0.04*France, Herault 60 2.3 0.31 0.21 0.03 167 6.2 0.50 0.58 0.05 France, Isere 70 2.2 0.27 0.22 0.03 223 6.8 0.47 0.67 0.05*France, Manche 21 1.9 0.43 0.16 0.04 103 8.7 0.91 0.83 0.08*France, Somme 21 1.3 0.28 0.15 0.03 66 3.9 0.49 0.41 0.05 France, Tarn 23 2.1 0.45 0.24 0.05 134 12.0 1.10 1.18 0.11 Germany, Saarland 80 2.1 0.25 0.24 0.03 200 4.8 0.38 0.49 0.04 Iceland 36 4.3 0.74 0.53 0.11 99 12.6 1.32 1.31 0.15 Ireland 79 0.9 0.10 0.10 0.01 167 1.9 0.15 0.17 0.02 Italy, Biella Province 8 1.8 0.67 0.23 0.08 30 6.7 1.36 0.62 0.13 Italy, Ferrara Province 49 3.5 0.53 0.40 0.06 130 8.6 0.87 0.89 0.08*Italy, Florence 100 2.5 0.26 0.23 0.03 317 6.9 0.43 0.67 0.04 Italy, Genoa Province 50 1.8 0.27 0.19 0.03 180 6.5 0.53 0.63 0.05 Italy, Liguria Italy, Macerata Province 32 2.8 0.53 0.28 0.06 76 7.8 0.96 0.70 0.08 Italy, Modena Province 54 2.6 0.37 0.24 0.03 191 8.4 0.65 0.85 0.06 Italy, North East 112 2.3 0.23 0.22 0.02 384 8.1 0.44 0.82 0.04

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rates and standard errorsThyroid (C73) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 33 2.5 0.47 0.24 0.04 77 5.4 0.70 0.52 0.06*Italy, Ragusa Province 18 2.1 0.51 0.16 0.04 52 5.5 0.80 0.51 0.07 Italy, Romagna 112 3.3 0.33 0.35 0.03 328 9.4 0.55 0.92 0.05 Italy, Sassari 34 2.2 0.39 0.20 0.04 147 9.4 0.81 0.89 0.08 Italy, Torino 83 2.6 0.31 0.25 0.03 242 6.9 0.50 0.68 0.05 Italy, Umbria 40 2.0 0.34 0.20 0.04 99 5.9 0.65 0.53 0.06 Italy, Varese Province 51 1.9 0.28 0.18 0.03 164 5.6 0.47 0.53 0.04 Italy, Venetian Region 112 2.1 0.21 0.21 0.02 319 5.7 0.35 0.56 0.03*Latvia 63 0.9 0.11 0.10 0.01 304 3.1 0.19 0.31 0.02 Lithuania 109 1.0 0.10 0.11 0.01 547 4.3 0.19 0.43 0.02 Malta 18 1.6 0.38 0.15 0.04 72 6.6 0.80 0.56 0.07 The Netherlands 499 1.0 0.05 0.10 0.01 1137 2.2 0.07 0.21 0.01 The Netherlands, Eindhoven 24 0.8 0.17 0.08 0.02 92 3.1 0.34 0.29 0.03 The Netherlands, Maastricht 40 1.6 0.27 0.13 0.02 55 2.1 0.32 0.19 0.03 Norway 224 1.5 0.11 0.16 0.01 643 4.3 0.19 0.41 0.02*Poland, Cracow 35 1.7 0.28 0.17 0.03 123 4.4 0.42 0.47 0.05*Poland, Kielce 18 0.7 0.16 0.08 0.02 74 2.4 0.29 0.27 0.03*Poland, Lower Silesia 72 0.9 0.11 0.10 0.01 331 3.3 0.19 0.36 0.02 Poland, Warsaw City 74 1.4 0.17 0.15 0.02 264 4.3 0.28 0.42 0.03*Portugal, Vila Nova de Gaia 11 1.4 0.41 0.12 0.05 42 5.2 0.82 0.43 0.07*Russia, St Petersburg 129 1.3 0.11 0.14 0.01 611 3.8 0.17 0.40 0.02 Slovakia 174 1.2 0.09 0.14 0.01 631 3.7 0.15 0.37 0.02 Slovenia 77 1.3 0.15 0.15 0.02 253 3.6 0.24 0.35 0.02 Spain, Albacete 12 1.2 0.35 0.14 0.04 46 4.2 0.65 0.42 0.06 Spain, Asturias 53 1.8 0.29 0.18 0.03 151 4.7 0.42 0.44 0.04*Spain, Canary Islands 34 1.5 0.26 0.18 0.03 138 5.7 0.50 0.56 0.05 Spain, Cuenca 7 1.4 0.53 0.12 0.05 28 4.1 0.87 0.39 0.08 Spain, Girona 21 1.9 0.43 0.19 0.05 42 4.5 0.71 0.41 0.06 Spain, Granada 21 0.8 0.19 0.08 0.02 148 6.2 0.53 0.56 0.05 Spain, Mallorca 16 1.1 0.28 0.10 0.03 60 3.8 0.51 0.36 0.05 Spain, Murcia 37 1.5 0.25 0.15 0.03 127 5.2 0.48 0.47 0.04 Spain, Navarra 41 2.6 0.43 0.25 0.04 132 7.9 0.72 0.72 0.07 Spain, Tarragona 18 1.1 0.25 0.10 0.02 86 4.8 0.54 0.45 0.05*Spain, Zaragoza 25 0.9 0.20 0.09 0.02 99 3.3 0.37 0.31 0.04 Sweden 433 1.3 0.07 0.14 0.01 1095 3.5 0.12 0.33 0.01 Switzerland, Basel 31 1.9 0.37 0.19 0.04 92 5.3 0.63 0.52 0.06 Switzerland, Geneva 19 1.5 0.34 0.16 0.04 70 4.5 0.57 0.47 0.07 Switzerland, Graubunden and Glarus 11 1.3 0.41 0.17 0.06 27 3.7 0.74 0.35 0.07 Switzerland, Neuchatel 6 1.1 0.46 0.18 0.08 9 1.9 0.64 0.22 0.08 Switzerland, St Gall-Appenzell 35 2.1 0.36 0.20 0.04 109 6.2 0.63 0.62 0.07*Switzerland, Ticino 8 1.7 0.60 0.23 0.09 26 4.9 1.11 0.55 0.12 Switzerland, Valais 15 1.8 0.48 0.25 0.07 48 5.3 0.81 0.48 0.08 Switzerland, Vaud 22 1.4 0.31 0.15 0.04 79 4.9 0.59 0.46 0.06 Switzerland, Zurich 72 2.3 0.28 0.25 0.03 198 5.6 0.43 0.54 0.04*UK, England 1262 0.8 0.02 0.08 0.00 3383 1.9 0.04 0.18 0.00 UK, England, East Anglia 72 1.0 0.12 0.11 0.01 171 2.1 0.18 0.19 0.02 UK, England, Merseyside and Cheshire 58 0.8 0.11 0.08 0.01 181 2.3 0.18 0.21 0.02 UK, England, North Western 111 0.9 0.08 0.09 0.01 298 2.1 0.13 0.20 0.01 UK, England, Oxford Region 72 0.9 0.10 0.09 0.01 210 2.4 0.18 0.24 0.02*UK, England, South Thames 171 0.8 0.06 0.08 0.01 477 1.9 0.10 0.18 0.01*UK, England, South and Western Regions 207 0.9 0.07 0.09 0.01 504 2.1 0.10 0.20 0.01 UK, England, Trent 106 0.6 0.07 0.06 0.01 276 1.7 0.11 0.16 0.01*UK, England, West Midlands Region 147 0.8 0.07 0.09 0.01 348 1.9 0.11 0.18 0.01 UK, England, Yorkshire 100 0.8 0.09 0.09 0.01 233 2.0 0.14 0.18 0.01 UK, Northern Ireland 69 1.4 0.17 0.14 0.02 178 3.4 0.27 0.32 0.03 UK, Scotland 138 0.8 0.07 0.09 0.01 462 2.6 0.13 0.24 0.01*Yugoslavia, Vojvodina 64 0.9 0.12 0.09 0.01 143 1.9 0.17 0.19 0.02

Oceania Australia, Capital Territory 11 1.4 0.43 0.17 0.06 41 4.4 0.70 0.34 0.06 Australia, New South Wales 407 2.2 0.11 0.22 0.01 1162 6.3 0.19 0.58 0.02 Australia, Northern Territory 6 1.3 0.64 0.20 0.14 23 6.4 1.52 0.67 0.21 Australia, Queensland 182 1.9 0.14 0.19 0.02 563 5.8 0.25 0.54 0.02 Australia, South 84 1.8 0.20 0.17 0.02 227 5.0 0.34 0.46 0.03 Australia, Tasmania 26 1.9 0.38 0.21 0.04 88 6.0 0.66 0.58 0.07 Australia, Victoria 207 1.6 0.11 0.16 0.01 604 4.3 0.18 0.39 0.02 Australia, Western 97 1.9 0.19 0.19 0.02 255 5.0 0.32 0.48 0.03 New Zealand 179 1.7 0.13 0.18 0.01 397 3.5 0.18 0.36 0.02 USA, Hawaii: White 39 4.0 0.66 0.48 0.09 67 7.6 1.00 0.62 0.08 USA, Hawaii: Chinese 8 4.6 1.63 0.44 0.16 15 6.7 1.83 0.74 0.20 USA, Hawaii: Filipino 26 5.0 1.04 0.54 0.12 97 19.4 2.00 1.91 0.21 USA, Hawaii: Hawaiian 23 4.6 0.98 0.45 0.11 58 11.0 1.47 1.03 0.15 USA, Hawaii: Japanese 26 1.9 0.45 0.14 0.04 62 7.3 1.02 0.68 0.09

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rates and standard errorsAdrenal gland (C74)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers *France, La Reunion 0 - - - - 0 - - - - *The Gambia 0 - - - - 0 - - - - *Mali, Bamako 0 - - - - 2 0.3 0.26 0.07 0.06*Uganda, Kyadondo County 1 0.0 0.02 0.00 0.00 0 - - - - *Zimbabwe, Harare: African 6 0.1 0.06 0.01 0.00 5 0.2 0.12 0.02 0.01

America, Central and South*Argentina, Bahia Blanca 1 0.1 0.11 0.01 0.01 2 0.1 0.10 0.03 0.02*Argentina, Concordia 2 0.5 0.38 0.05 0.04 0 - - - - *Brazil, Campinas 1 0.1 0.06 0.01 0.01 5 0.3 0.14 0.01 0.01*Brazil, Goiania 9 0.6 0.22 0.06 0.03 5 0.4 0.16 0.03 0.02 Colombia, Cali 4 0.1 0.06 0.01 0.00 5 0.1 0.06 0.01 0.00*Costa Rica 6 0.2 0.08 0.01 0.01 1 0.0 0.02 0.00 0.00*Cuba, Villa Clara 2 0.2 0.13 0.01 0.01 2 0.3 0.21 0.01 0.01*Ecuador, Quito 4 0.1 0.06 0.00 0.00 5 0.1 0.06 0.01 0.00*France, Martinique 0 - - - - 2 0.2 0.12 0.03 0.02*USA, Puerto Rico 4 0.1 0.07 0.00 0.00 5 0.1 0.07 0.01 0.01*Uruguay, Montevideo 9 0.5 0.15 0.05 0.02 4 0.1 0.07 0.02 0.01

America, North Canada 245 0.4 0.03 0.03 0.00 274 0.4 0.03 0.03 0.00 Canada, Alberta 13 0.2 0.07 0.01 0.00 17 0.2 0.06 0.02 0.01 Canada, British Columbia 17 0.2 0.06 0.02 0.00 23 0.2 0.06 0.01 0.00 Canada, Manitoba 8 0.3 0.12 0.02 0.01 13 0.5 0.15 0.04 0.01 Canada, New Brunswick 6 0.4 0.16 0.02 0.01 6 0.2 0.10 0.03 0.01 Canada, Newfoundland 5 0.4 0.22 0.04 0.02 3 0.2 0.11 0.02 0.01 Canada, Northwest Territories 1 0.2 0.22 0.01 0.01 1 0.2 0.23 0.01 0.01 Canada, Nova Scotia 5 0.2 0.12 0.02 0.01 12 0.5 0.17 0.02 0.01 Canada, Ontario 99 0.4 0.04 0.03 0.00 98 0.3 0.04 0.03 0.00 Canada, Prince Edward Island 1 0.4 0.39 0.02 0.02 0 - - - - +Canada, Quebec 84 0.6 0.07 0.04 0.00 99 0.6 0.07 0.04 0.00 Canada, Saskatchewan 7 0.3 0.12 0.01 0.01 3 0.2 0.09 0.01 0.01 Canada, Yukon 0 - - - - 0 - - - - USA, California, Los Angeles: Non-Hispanic White 27 0.3 0.06 0.02 0.00 30 0.3 0.07 0.03 0.01 USA, California, Los Angeles: Hispanic White 16 0.3 0.08 0.01 0.01 11 0.2 0.05 0.01 0.01 USA, California, Los Angeles: Black 8 0.4 0.14 0.03 0.01 8 0.3 0.12 0.02 0.01 USA, California, Los Angeles: Chinese 0 - - - - 2 0.2 0.16 0.02 0.02 USA, California, Los Angeles: Filipino 1 0.1 0.11 - - 1 0.1 0.13 0.01 0.01 USA, California, Los Angeles: Japanese 1 0.6 0.61 0.03 0.03 0 - - - - USA, California, Los Angeles: Korean 0 - - - - 0 - - - - USA, California, San Francisco: Non-Hispanic White 14 0.3 0.10 0.02 0.01 23 0.5 0.12 0.03 0.01 USA, California, San Francisco: Hispanic White 2 0.2 0.11 0.01 0.00 5 0.3 0.14 0.01 0.01 USA, California, San Francisco: Black 4 0.3 0.15 0.02 0.02 2 0.1 0.07 0.00 0.01 USA, Connecticut: White 35 0.6 0.10 0.04 0.01 27 0.5 0.10 0.03 0.01 USA, Connecticut: Black 3 0.5 0.30 0.02 0.01 1 0.2 0.17 0.02 0.02 USA, Georgia, Atlanta: White 13 0.4 0.12 0.03 0.01 11 0.3 0.10 0.02 0.01 USA, Georgia, Atlanta: Black 1 0.1 0.07 0.01 0.01 7 0.3 0.13 0.03 0.01 USA, Iowa 28 0.4 0.09 0.04 0.01 26 0.4 0.09 0.03 0.01 USA, Louisiana, Central Region: White 2 0.6 0.45 0.03 0.02 1 0.1 0.09 0.02 0.02 USA, Louisiana, Central Region: Black 0 - - - - 0 - - - - USA, Louisiana, New Orleans: White 10 0.7 0.24 0.06 0.02 4 0.2 0.14 0.02 0.01 USA, Louisiana, New Orleans: Black 1 0.1 0.10 - - 0 - - - - USA, Michigan, Detroit: White 18 0.3 0.08 0.02 0.01 29 0.4 0.08 0.03 0.01 USA, Michigan, Detroit: Black 4 0.2 0.09 0.02 0.01 10 0.4 0.14 0.04 0.01 USA, New Jersey: White 52 0.3 0.05 0.03 0.00 60 0.4 0.06 0.03 0.00 USA, New Jersey: Black 6 0.2 0.10 0.01 0.00 10 0.3 0.10 0.03 0.01 USA, New Mexico: Non-Hispanic White 2 0.1 0.10 0.00 0.00 4 0.3 0.15 0.02 0.01 USA, New Mexico: Hispanic White 5 0.3 0.13 0.01 0.01 3 0.2 0.11 0.01 0.01 USA, New Mexico: American Indian 2 0.8 0.60 0.10 0.09 0 - - - - USA, New York State: White 136 0.4 0.04 0.03 0.00 159 0.4 0.04 0.03 0.00 USA, New York State: Black 30 0.5 0.09 0.03 0.01 28 0.4 0.07 0.03 0.01 USA, Utah 17 0.4 0.10 0.02 0.01 12 0.3 0.08 0.02 0.01 USA, Washington, Seattle 29 0.4 0.07 0.03 0.01 32 0.4 0.08 0.03 0.01 USA, SEER: White 159 0.4 0.03 0.03 0.00 168 0.4 0.03 0.03 0.00 USA, SEER: Black 14 0.2 0.07 0.02 0.01 22 0.3 0.07 0.03 0.01

Asia*China, Beijing 7 0.1 0.05 0.01 0.00 7 0.1 0.05 0.01 0.00

+*China, Changle *China, Cixian *China, Hong Kong *China, Jiashan 3 0.2 0.14 0.02 0.01 2 0.2 0.13 0.02 0.01

+*China, Qidong County 1 0.0 0.03 0.00 0.00 0 - - - - +*China, Shanghai 39 0.1 0.02 0.02 0.00 26 0.1 0.03 0.01 0.00

*China, Taiwan 32 0.4 0.07 0.02 0.00 31 0.4 0.07 0.02 0.00*China, Tianjin 12 0.1 0.03 0.01 0.00 13 0.1 0.03 0.01 0.00+China, Wuhan 16 0.1 0.04 0.02 0.01 13 0.1 0.03 0.01 0.00

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rates and standard errorsAdrenal gland (C74) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 9 0.1 0.03 0.00 0.00 7 0.1 0.04 0.01 0.01*India, Bangalore 5 0.1 0.03 0.00 0.00 8 0.1 0.03 0.01 0.00 India, Chennai (Madras) 8 0.1 0.03 0.00 0.00 11 0.2 0.05 0.01 0.00*India, Delhi 57 0.3 0.04 0.02 0.00 43 0.2 0.04 0.01 0.00*India, Karunagappally 1 0.1 0.15 0.01 0.01 0 - - - - India, Mumbai (Bombay) 44 0.2 0.03 0.02 0.00 37 0.2 0.03 0.01 0.00*India, Nagpur 3 0.1 0.07 0.01 0.00 1 0.0 0.03 0.00 0.00*India, Poona 15 0.2 0.06 0.01 0.00 4 0.1 0.04 0.01 0.01*India, Trivandrum 5 0.2 0.09 0.02 0.01 3 0.1 0.07 0.01 0.01 Israel: Jews 36 0.4 0.06 0.03 0.00 60 0.5 0.07 0.04 0.01 Israel: Jews born in Israel 18 0.2 0.07 0.02 0.01 33 0.5 0.11 0.04 0.01 Israel: Jews born in Europe or America 16 1.0 0.47 0.06 0.02 19 0.3 0.12 0.03 0.01 Israel: Jews born in Africa or Asia 2 0.1 0.05 0.01 0.00 8 0.2 0.07 0.02 0.01 Israel: Non-Jews 11 0.4 0.12 0.02 0.01 4 0.1 0.06 0.01 0.00 Japan, Hiroshima 14 0.7 0.21 0.04 0.01 10 0.6 0.21 0.03 0.01*Japan, Miyagi Prefecture 36 1.0 0.19 0.06 0.01 30 0.6 0.14 0.04 0.01*Japan, Nagasaki Prefecture 18 0.7 0.18 0.03 0.01 13 0.6 0.18 0.03 0.01*Japan, Osaka Prefecture 84 0.6 0.07 0.04 0.00 62 0.5 0.07 0.02 0.00*Japan, Saga Prefecture 12 0.6 0.20 0.05 0.01 6 0.3 0.16 0.02 0.01*Japan, Yamagata Prefecture 2 0.0 0.02 0.01 0.00 4 0.1 0.05 0.01 0.00*Korea, Busan 5 0.1 0.06 0.01 0.00 3 0.1 0.06 0.01 0.01*Korea, Daegu 7 0.4 0.15 0.04 0.02 3 0.2 0.13 0.01 0.01*Korea, Kangwha County 0 - - - - 1 1.5 1.51 0.06 0.06*Korea, Seoul 55 0.3 0.04 0.02 0.00 47 0.2 0.03 0.02 0.00*Kuwait: Kuwaitis 5 0.2 0.11 0.01 0.00 3 0.2 0.09 0.01 0.00*Kuwait: Non-Kuwaitis 1 0.1 0.08 0.00 0.00 0 - - - - *Oman: Omani 5 0.1 0.07 0.01 0.00 11 0.3 0.10 0.02 0.01*Pakistan, South Karachi 3 0.1 0.07 0.01 0.01 0 - - - - *Philippines, Manila 12 0.2 0.05 0.02 0.01 6 0.1 0.02 0.01 0.00*Philippines, Rizal 16 0.2 0.04 0.02 0.01 13 0.1 0.04 0.02 0.01 Singapore: Chinese 13 0.3 0.09 0.02 0.01 14 0.3 0.09 0.02 0.01 Singapore: Indian 2 0.3 0.25 0.02 0.02 0 - - - - Singapore: Malay 0 - - - - 2 0.2 0.17 0.00 0.00*Thailand, Bangkok 3 0.0 0.03 0.01 0.00 5 0.0 0.02 0.00 0.00*Thailand, Chiang Mai 3 0.1 0.09 0.01 0.00 4 0.1 0.07 0.01 0.01*Thailand, Khon Kaen 2 0.0 0.03 0.00 0.00 3 0.1 0.04 0.01 0.00*Thailand, Lampang 0 - - - - 0 - - - - *Thailand, Songkhla 2 0.1 0.07 0.00 0.00 2 0.1 0.07 0.01 0.01*Viet Nam, Hanoi 3 0.1 0.03 - - 2 0.0 0.03 - - *Viet Nam, Ho Chi Minh City 7 0.1 0.04 0.01 0.00 8 0.1 0.04 0.01 0.00

Europe Austria, Tyrol 5 0.3 0.14 0.03 0.01 14 1.0 0.29 0.06 0.02 Austria, Vorarlberg 4 0.4 0.20 0.04 0.02 1 0.2 0.21 0.01 0.01

+*Belarus 128 0.5 0.04 0.05 0.01 76 0.2 0.03 0.02 0.00*Belgium, Flanders, (excl. Limburg) 23 0.5 0.12 0.04 0.01 33 0.6 0.13 0.05 0.01*Belgium, Limburg 2 0.3 0.28 0.03 0.02 3 0.3 0.16 0.04 0.02*Croatia 31 0.2 0.04 0.03 0.01 43 0.3 0.05 0.03 0.00 Czech Republic 101 0.3 0.04 0.04 0.00 87 0.3 0.03 0.02 0.00 Denmark 30 0.2 0.05 0.02 0.00 26 0.2 0.04 0.01 0.00 Estonia 13 0.3 0.08 0.04 0.01 24 0.5 0.12 0.05 0.01 Finland 53 0.3 0.04 0.04 0.01 63 0.3 0.04 0.03 0.00 France, Bas-Rhin 12 0.6 0.17 0.04 0.01 6 0.3 0.14 0.02 0.01*France, Calvados 3 0.2 0.13 0.02 0.01 4 0.2 0.08 0.01 0.01 France, Cote d’Or France, Doubs 3 0.3 0.18 0.02 0.01 3 0.2 0.11 0.01 0.01 France, Haut-Rhin 5 0.3 0.15 0.03 0.01 5 0.3 0.12 0.02 0.01*France, Herault 14 0.8 0.23 0.06 0.02 9 0.6 0.21 0.04 0.01 France, Isere 13 0.5 0.15 0.04 0.01 10 0.4 0.14 0.03 0.01*France, Manche 5 0.6 0.30 0.03 0.02 2 0.3 0.23 0.02 0.01*France, Somme 5 0.4 0.21 0.03 0.01 3 0.1 0.08 0.01 0.01 France, Tarn 3 0.3 0.16 0.03 0.02 2 0.3 0.28 0.01 0.01 Germany, Saarland 5 0.2 0.13 0.02 0.01 8 0.4 0.17 0.02 0.01 Iceland 1 0.2 0.16 0.02 0.02 1 0.2 0.22 0.01 0.01 Ireland 19 0.3 0.08 0.02 0.01 17 0.3 0.07 0.02 0.01 Italy, Biella Province 1 1.1 1.11 0.05 0.05 0 - - - - Italy, Ferrara Province 5 0.7 0.47 0.05 0.03 4 0.2 0.12 0.02 0.01*Italy, Florence 18 0.7 0.23 0.04 0.01 20 0.7 0.20 0.05 0.01 Italy, Genoa Province 16 0.9 0.35 0.06 0.02 9 0.5 0.27 0.04 0.01 Italy, Liguria Italy, Macerata Province 2 0.2 0.15 0.02 0.02 3 0.2 0.14 0.03 0.02 Italy, Modena Province 10 0.8 0.32 0.05 0.02 7 0.5 0.23 0.04 0.01 Italy, North East 16 0.7 0.21 0.04 0.01 11 0.2 0.09 0.02 0.01

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rates and standard errorsAdrenal gland (C74) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 4 0.3 0.17 0.03 0.02 4 0.3 0.17 0.03 0.01*Italy, Ragusa Province 4 0.3 0.18 0.04 0.03 0 - - - - Italy, Romagna 9 0.3 0.15 0.02 0.01 12 0.4 0.18 0.03 0.01 Italy, Sassari 4 0.3 0.23 0.02 0.02 6 0.9 0.41 0.05 0.02 Italy, Torino 12 0.5 0.21 0.04 0.01 4 0.1 0.06 0.01 0.01 Italy, Umbria 8 0.7 0.29 0.05 0.02 12 0.8 0.29 0.06 0.02 Italy, Varese Province 5 0.3 0.15 0.02 0.01 8 0.4 0.16 0.03 0.01 Italy, Venetian Region 11 0.3 0.13 0.02 0.01 15 0.3 0.10 0.03 0.01*Latvia 32 0.5 0.08 0.05 0.01 32 0.3 0.07 0.03 0.01 Lithuania 26 0.3 0.05 0.03 0.01 26 0.2 0.05 0.02 0.00 Malta 8 1.1 0.42 0.06 0.03 2 0.3 0.23 0.02 0.01 The Netherlands 97 0.3 0.03 0.02 0.00 93 0.2 0.03 0.02 0.00 The Netherlands, Eindhoven 4 0.2 0.12 0.01 0.01 3 0.1 0.06 0.01 0.01 The Netherlands, Maastricht 6 0.2 0.12 0.03 0.01 8 0.4 0.16 0.02 0.01 Norway 32 0.3 0.06 0.02 0.00 34 0.3 0.06 0.03 0.00*Poland, Cracow 4 0.2 0.08 0.03 0.02 6 0.2 0.08 0.03 0.01*Poland, Kielce 4 0.2 0.10 0.01 0.01 4 0.2 0.08 0.02 0.01*Poland, Lower Silesia 46 0.6 0.09 0.07 0.01 55 0.6 0.09 0.06 0.01 Poland, Warsaw City 22 0.5 0.13 0.05 0.01 15 0.3 0.12 0.03 0.01*Portugal, Vila Nova de Gaia 2 0.2 0.17 0.03 0.02 0 - - - - *Russia, St Petersburg 28 0.3 0.05 0.03 0.01 22 0.2 0.03 0.02 0.00 Slovakia 43 0.3 0.05 0.03 0.01 31 0.2 0.04 0.02 0.00 Slovenia 14 0.4 0.11 0.03 0.01 24 0.6 0.15 0.04 0.01 Spain, Albacete 2 0.3 0.18 0.02 0.02 0 - - - - Spain, Asturias 6 0.3 0.17 0.02 0.01 7 0.2 0.09 0.02 0.01*Spain, Canary Islands 2 0.1 0.06 0.02 0.01 5 0.3 0.13 0.03 0.01 Spain, Cuenca 2 0.4 0.27 0.04 0.03 0 - - - - Spain, Girona 3 0.3 0.20 0.03 0.01 6 1.1 0.58 0.05 0.03 Spain, Granada 4 0.2 0.12 0.02 0.01 5 0.4 0.18 0.02 0.01 Spain, Mallorca 5 0.6 0.32 0.03 0.02 4 0.5 0.28 0.03 0.01 Spain, Murcia 4 0.2 0.09 0.02 0.01 6 0.3 0.14 0.02 0.01 Spain, Navarra 5 0.4 0.22 0.04 0.02 6 0.3 0.13 0.03 0.01 Spain, Tarragona 5 0.4 0.21 0.03 0.01 4 0.6 0.31 0.03 0.01*Spain, Zaragoza 11 0.8 0.27 0.05 0.02 3 0.2 0.14 0.01 0.01 Sweden 61 0.3 0.04 0.02 0.00 55 0.2 0.03 0.02 0.00 Switzerland, Basel 3 0.2 0.09 0.01 0.01 3 0.3 0.17 0.02 0.01 Switzerland, Geneva 0 - - - - 2 0.4 0.30 0.02 0.01 Switzerland, Graubunden and Glarus 3 0.4 0.23 0.06 0.04 0 - - - - Switzerland, Neuchatel 1 0.6 0.60 0.03 0.03 1 0.6 0.63 0.03 0.03 Switzerland, St Gall-Appenzell 1 0.1 0.07 0.01 0.01 4 0.3 0.19 0.02 0.01*Switzerland, Ticino 3 0.7 0.38 0.09 0.06 1 0.3 0.25 0.02 0.02 Switzerland, Valais 2 0.4 0.29 0.03 0.02 1 0.1 0.13 0.01 0.01 Switzerland, Vaud 1 0.2 0.16 0.01 0.01 5 0.4 0.20 0.03 0.02 Switzerland, Zurich 7 0.3 0.12 0.03 0.01 5 0.2 0.11 0.01 0.01*UK, England 357 0.3 0.02 0.02 0.00 349 0.3 0.02 0.02 0.00 UK, England, East Anglia 19 0.5 0.12 0.03 0.01 13 0.3 0.08 0.02 0.01 UK, England, Merseyside and Cheshire 13 0.3 0.08 0.02 0.01 15 0.2 0.07 0.01 0.00 UK, England, North Western 28 0.3 0.07 0.03 0.00 29 0.3 0.06 0.02 0.00 UK, England, Oxford Region 23 0.4 0.09 0.03 0.01 18 0.2 0.07 0.02 0.01*UK, England, South Thames 48 0.3 0.05 0.02 0.00 46 0.3 0.05 0.02 0.00*UK, England, South and Western Regions 62 0.4 0.06 0.03 0.00 77 0.5 0.07 0.04 0.00 UK, England, Trent 45 0.4 0.06 0.03 0.00 40 0.3 0.06 0.02 0.00*UK, England, West Midlands Region 29 0.2 0.05 0.02 0.00 33 0.2 0.04 0.02 0.00 UK, England, Yorkshire 33 0.4 0.08 0.03 0.01 21 0.2 0.06 0.01 0.00 UK, Northern Ireland 24 0.6 0.13 0.05 0.01 18 0.5 0.12 0.03 0.01 UK, Scotland 32 0.2 0.05 0.02 0.00 38 0.3 0.06 0.02 0.00*Yugoslavia, Vojvodina 12 0.2 0.05 0.02 0.01 8 0.1 0.04 0.01 0.00

Oceania Australia, Capital Territory 3 0.6 0.37 0.03 0.02 3 0.4 0.27 0.02 0.01 Australia, New South Wales 56 0.5 0.07 0.03 0.00 47 0.4 0.06 0.02 0.00 Australia, Northern Territory 1 0.4 0.42 0.05 0.05 1 0.2 0.19 0.02 0.02 Australia, Queensland 24 0.4 0.08 0.02 0.00 31 0.4 0.08 0.03 0.01 Australia, South 15 0.5 0.14 0.03 0.01 11 0.3 0.10 0.02 0.01 Australia, Tasmania 1 0.1 0.14 0.01 0.01 3 0.3 0.15 0.02 0.01 Australia, Victoria 37 0.4 0.07 0.03 0.01 31 0.3 0.06 0.02 0.00 Australia, Western 12 0.3 0.09 0.02 0.01 11 0.3 0.08 0.02 0.01 New Zealand 33 0.4 0.07 0.03 0.01 33 0.4 0.06 0.03 0.01 USA, Hawaii: White 1 0.1 0.11 0.01 0.01 0 - - - - USA, Hawaii: Chinese 0 - - - - 0 - - - - USA, Hawaii: Filipino 2 0.6 0.44 0.03 0.02 0 - - - - USA, Hawaii: Hawaiian 1 0.2 0.17 0.01 0.01 0 - - - - USA, Hawaii: Japanese 3 0.2 0.10 0.03 0.02 2 0.1 0.07 0.01 0.01

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MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers *France, La Reunion 0 - - - - 0 - - - - *The Gambia 0 - - - - 0 - - - - *Mali, Bamako 0 - - - - 1 0.2 0.21 0.02 0.02*Uganda, Kyadondo County 1 0.0 0.02 0.00 0.00 2 0.3 0.20 0.03 0.02*Zimbabwe, Harare: African 3 0.1 0.05 0.01 0.00 6 0.6 0.32 0.10 0.07

America, Central and South*Argentina, Bahia Blanca 1 0.1 0.10 0.01 0.01 4 0.4 0.19 0.03 0.01*Argentina, Concordia 0 - - - - 0 - - - - *Brazil, Campinas 5 0.3 0.15 0.04 0.02 4 0.2 0.11 0.01 0.01*Brazil, Goiania 2 0.2 0.13 0.02 0.02 3 0.1 0.06 0.01 0.00 Colombia, Cali 2 0.0 0.03 0.00 0.00 0 - - - - *Costa Rica 1 0.0 0.04 0.00 0.00 4 0.2 0.08 0.02 0.01*Cuba, Villa Clara 1 0.0 0.04 0.00 0.00 0 - - - - *Ecuador, Quito 1 0.0 0.03 0.00 0.00 1 0.0 0.03 - - *France, Martinique 1 0.1 0.10 0.02 0.02 2 0.2 0.14 0.01 0.01*USA, Puerto Rico 1 0.0 0.03 0.00 0.00 0 - - - - *Uruguay, Montevideo 7 0.3 0.13 0.04 0.01 7 0.3 0.12 0.03 0.01

America, North Canada 144 0.2 0.02 0.02 0.00 109 0.1 0.01 0.01 0.00 Canada, Alberta 6 0.1 0.04 0.01 0.00 3 0.0 0.02 0.00 0.00 Canada, British Columbia 18 0.2 0.05 0.01 0.00 6 0.1 0.02 0.00 0.00 Canada, Manitoba 2 0.1 0.06 0.01 0.01 1 0.1 0.05 0.00 0.00 Canada, New Brunswick 2 0.2 0.12 0.01 0.01 3 0.2 0.09 0.02 0.01 Canada, Newfoundland 2 0.1 0.09 0.02 0.01 1 0.1 0.08 0.00 0.00 Canada, Northwest Territories 0 - - - - 0 - - - - Canada, Nova Scotia 2 0.1 0.08 0.01 0.00 1 0.0 0.04 0.00 0.00 Canada, Ontario 74 0.2 0.03 0.02 0.00 63 0.2 0.03 0.02 0.00 Canada, Prince Edward Island 0 - - - - 0 - - - - +Canada, Quebec 35 0.2 0.03 0.02 0.00 29 0.1 0.03 0.01 0.00 Canada, Saskatchewan 3 0.1 0.08 0.01 0.00 2 0.1 0.05 0.01 0.00 Canada, Yukon 0 - - - - 0 - - - - USA, California, Los Angeles: Non-Hispanic White 14 0.2 0.07 0.01 0.00 6 0.0 0.02 0.01 0.00 USA, California, Los Angeles: Hispanic White 14 0.2 0.06 0.02 0.01 6 0.1 0.04 0.01 0.00 USA, California, Los Angeles: Black 6 0.2 0.10 0.03 0.01 5 0.2 0.10 0.01 0.01 USA, California, Los Angeles: Chinese 1 0.1 0.11 0.01 0.01 0 - - - - USA, California, Los Angeles: Filipino 1 0.2 0.16 0.01 0.01 1 0.1 0.13 0.01 0.01 USA, California, Los Angeles: Japanese 0 - - - - 0 - - - - USA, California, Los Angeles: Korean 0 - - - - 0 - - - - USA, California, San Francisco: Non-Hispanic White 8 0.2 0.06 0.01 0.00 7 0.1 0.05 0.01 0.00 USA, California, San Francisco: Hispanic White 2 0.2 0.12 0.01 0.01 0 - - - - USA, California, San Francisco: Black 2 0.2 0.13 0.01 0.01 1 0.1 0.05 0.00 0.00 USA, Connecticut: White 13 0.2 0.05 0.01 0.00 6 0.1 0.03 0.01 0.00 USA, Connecticut: Black 1 0.1 0.14 0.01 0.01 0 - - - - USA, Georgia, Atlanta: White 3 0.1 0.07 0.01 0.00 1 0.0 0.02 0.00 0.00 USA, Georgia, Atlanta: Black 1 0.1 0.05 0.00 0.00 2 0.1 0.05 0.01 0.00 USA, Iowa 9 0.2 0.05 0.01 0.00 4 0.0 0.02 0.00 0.00 USA, Louisiana, Central Region: White 1 0.2 0.18 0.01 0.01 0 - - - - USA, Louisiana, Central Region: Black 0 - - - - 0 - - - - USA, Louisiana, New Orleans: White 2 0.1 0.09 0.01 0.01 3 0.1 0.08 0.01 0.01 USA, Louisiana, New Orleans: Black 0 - - - - 2 0.1 0.10 0.01 0.01 USA, Michigan, Detroit: White 9 0.1 0.05 0.01 0.00 4 0.0 0.02 0.00 0.00 USA, Michigan, Detroit: Black 7 0.3 0.11 0.02 0.01 1 0.0 0.03 0.01 0.01 USA, New Jersey: White 36 0.2 0.04 0.02 0.00 20 0.1 0.02 0.01 0.00 USA, New Jersey: Black 4 0.2 0.08 0.02 0.01 2 0.1 0.05 0.00 0.00 USA, New Mexico: Non-Hispanic White 0 - - - - 1 0.1 0.07 0.00 0.00 USA, New Mexico: Hispanic White 3 0.2 0.12 0.03 0.02 1 0.1 0.07 0.01 0.01 USA, New Mexico: American Indian 1 0.2 0.21 0.01 0.01 0 - - - - USA, New York State: White 105 0.3 0.03 0.02 0.00 98 0.2 0.02 0.02 0.00 USA, New York State: Black 14 0.2 0.05 0.03 0.01 22 0.2 0.05 0.02 0.01 USA, Utah 10 0.2 0.06 0.01 0.00 7 0.1 0.05 0.01 0.00 USA, Washington, Seattle 8 0.1 0.04 0.01 0.00 7 0.1 0.02 0.01 0.00 USA, SEER: White 62 0.1 0.02 0.01 0.00 34 0.1 0.01 0.00 0.00 USA, SEER: Black 13 0.2 0.06 0.02 0.01 4 0.0 0.02 0.00 0.00

Asia*China, Beijing 7 0.1 0.05 0.01 0.00 9 0.1 0.05 0.01 0.00

+*China, Changle *China, Cixian *China, Hong Kong *China, Jiashan 0 - - - - 1 0.1 0.06 0.00 0.00

+*China, Qidong County 6 0.2 0.08 0.02 0.01 1 0.0 0.03 0.01 0.01+*China, Shanghai 189 0.9 0.07 0.09 0.01 277 1.4 0.09 0.12 0.01

*China, Taiwan 27 0.2 0.05 0.02 0.00 9 0.1 0.03 0.01 0.00*China, Tianjin 126 1.1 0.11 0.11 0.01 136 1.2 0.11 0.11 0.01+China, Wuhan 71 0.7 0.08 0.06 0.01 53 0.5 0.07 0.04 0.01

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MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 4 0.1 0.04 0.01 0.01 1 0.0 0.02 0.00 0.00*India, Bangalore 2 0.0 0.01 0.00 0.00 4 0.0 0.02 0.00 0.00 India, Chennai (Madras) 4 0.0 0.02 0.00 0.00 1 0.0 0.01 0.00 0.00*India, Delhi 12 0.1 0.02 0.01 0.00 5 0.0 0.01 0.00 0.00*India, Karunagappally 1 0.1 0.11 0.01 0.01 1 0.1 0.12 0.01 0.01 India, Mumbai (Bombay) 11 0.0 0.02 0.00 0.00 12 0.1 0.02 0.00 0.00*India, Nagpur 1 0.0 0.05 0.00 0.00 1 0.1 0.07 0.01 0.01*India, Poona 3 0.0 0.02 0.00 0.00 0 - - - - *India, Trivandrum 0 - - - - 2 0.1 0.05 0.01 0.00 Israel: Jews 17 0.1 0.03 0.01 0.00 6 0.0 0.02 0.00 0.00 Israel: Jews born in Israel 7 0.1 0.03 0.01 0.00 6 0.2 0.09 0.02 0.01 Israel: Jews born in Europe or America 8 0.1 0.04 0.01 0.00 0 - - - - Israel: Jews born in Africa or Asia 2 0.1 0.04 0.01 0.00 0 - - - - Israel: Non-Jews 4 0.2 0.09 0.01 0.01 0 - - - - Japan, Hiroshima 7 0.3 0.10 0.02 0.01 1 0.0 0.03 0.00 0.00*Japan, Miyagi Prefecture 12 0.2 0.07 0.01 0.00 4 0.1 0.04 0.00 0.00*Japan, Nagasaki Prefecture 12 0.3 0.10 0.02 0.01 4 0.1 0.05 0.01 0.00*Japan, Osaka Prefecture 47 0.2 0.04 0.02 0.00 36 0.1 0.03 0.01 0.00*Japan, Saga Prefecture 4 0.2 0.11 0.01 0.01 3 0.1 0.09 0.01 0.01*Japan, Yamagata Prefecture 0 - - - - 3 0.1 0.05 0.01 0.00*Korea, Busan 8 0.2 0.08 0.01 0.00 4 0.1 0.05 0.01 0.01*Korea, Daegu 4 0.2 0.09 0.01 0.00 1 0.0 0.04 0.01 0.01*Korea, Kangwha County 0 - - - - 0 - - - - *Korea, Seoul 69 0.3 0.05 0.03 0.01 39 0.2 0.03 0.02 0.00*Kuwait: Kuwaitis 0 - - - - 1 0.2 0.18 0.02 0.02*Kuwait: Non-Kuwaitis 3 0.1 0.08 0.01 0.00 1 0.1 0.07 0.00 0.00*Oman: Omani 2 0.1 0.07 0.02 0.02 2 0.1 0.08 0.01 0.01*Pakistan, South Karachi 0 - - - - 1 0.0 0.03 0.00 0.00*Philippines, Manila 12 0.1 0.03 0.01 0.00 3 0.0 0.02 0.01 0.00*Philippines, Rizal 12 0.1 0.03 0.01 0.00 2 0.0 0.01 0.00 0.00 Singapore: Chinese 8 0.2 0.06 0.01 0.01 4 0.1 0.04 0.01 0.00 Singapore: Indian 0 - - - - 0 - - - - Singapore: Malay 1 0.1 0.10 0.01 0.01 0 - - - - *Thailand, Bangkok 10 0.1 0.04 0.01 0.00 11 0.1 0.03 0.01 0.00*Thailand, Chiang Mai 2 0.1 0.04 0.00 0.00 5 0.1 0.06 0.01 0.01*Thailand, Khon Kaen 10 0.2 0.07 0.01 0.00 7 0.2 0.06 0.01 0.00*Thailand, Lampang 0 - - - - 1 0.1 0.05 0.01 0.01*Thailand, Songkhla 0 - - - - 1 0.0 0.04 0.00 0.00*Viet Nam, Hanoi 1 0.0 0.02 - - 3 0.1 0.03 - - *Viet Nam, Ho Chi Minh City 11 0.1 0.03 0.01 0.00 6 0.1 0.03 0.01 0.00

Europe Austria, Tyrol 3 0.2 0.11 0.01 0.01 2 0.1 0.06 0.01 0.01 Austria, Vorarlberg 1 0.1 0.08 0.01 0.01 2 0.2 0.22 0.01 0.01

+*Belarus 11 0.0 0.01 0.00 0.00 22 0.1 0.02 0.01 0.00*Belgium, Flanders, (excl. Limburg) 17 0.2 0.07 0.02 0.01 8 0.1 0.03 0.01 0.00*Belgium, Limburg 1 0.3 0.27 0.01 0.01 0 - - - - *Croatia 29 0.2 0.05 0.02 0.01 20 0.1 0.03 0.01 0.00 Czech Republic 34 0.1 0.02 0.01 0.00 33 0.1 0.02 0.01 0.00 Denmark 17 0.2 0.04 0.01 0.00 10 0.1 0.03 0.01 0.00 Estonia 9 0.3 0.09 0.02 0.01 7 0.2 0.08 0.01 0.01 Finland 17 0.1 0.04 0.01 0.00 11 0.1 0.04 0.01 0.00 France, Bas-Rhin 2 0.1 0.05 0.00 0.00 0 - - - - *France, Calvados 2 0.2 0.11 0.01 0.01 0 - - - - France, Cote d’Or France, Doubs 0 - - - - 1 0.1 0.07 0.01 0.01 France, Haut-Rhin 1 0.0 0.04 0.01 0.01 2 0.1 0.05 0.00 0.00*France, Herault 4 0.1 0.07 0.02 0.01 0 - - - - France, Isere 3 0.1 0.05 0.01 0.01 5 0.2 0.07 0.02 0.01*France, Manche 2 0.3 0.18 0.02 0.01 0 - - - - *France, Somme 2 0.2 0.12 0.01 0.01 0 - - - - France, Tarn 0 - - - - 2 0.1 0.07 0.01 0.01 Germany, Saarland 4 0.1 0.06 0.01 0.01 1 0.0 0.04 0.00 0.00 Iceland 1 0.2 0.16 0.02 0.02 1 0.2 0.17 0.01 0.01 Ireland 15 0.2 0.05 0.02 0.01 11 0.1 0.04 0.01 0.00 Italy, Biella Province 0 - - - - 0 - - - - Italy, Ferrara Province 1 0.0 0.04 - - 3 0.2 0.14 0.02 0.01*Italy, Florence 6 0.1 0.05 0.02 0.01 4 0.2 0.09 0.01 0.01 Italy, Genoa Province 1 0.1 0.14 0.01 0.01 5 0.2 0.09 0.02 0.01 Italy, Liguria Italy, Macerata Province 1 0.1 0.07 0.01 0.01 1 0.2 0.17 0.01 0.01 Italy, Modena Province 2 0.1 0.05 0.01 0.01 3 0.1 0.07 0.01 0.01 Italy, North East 9 0.2 0.08 0.01 0.01 8 0.2 0.10 0.01 0.01

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MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 0 - - - - 0 - - - - *Italy, Ragusa Province 0 - - - - 1 0.0 0.03 - - Italy, Romagna 3 0.1 0.03 0.01 0.01 5 0.2 0.15 0.01 0.01 Italy, Sassari 8 0.8 0.31 0.05 0.02 15 1.1 0.28 0.09 0.02 Italy, Torino 0 - - - - 2 0.1 0.11 0.01 0.01 Italy, Umbria 3 0.5 0.32 0.03 0.01 3 0.2 0.12 0.02 0.01 Italy, Varese Province 2 0.1 0.04 0.01 0.01 2 0.0 0.03 0.00 0.00 Italy, Venetian Region 3 0.1 0.03 0.00 0.00 5 0.0 0.02 0.01 0.00*Latvia 4 0.1 0.03 0.01 0.00 6 0.1 0.03 0.01 0.00 Lithuania 27 0.3 0.06 0.03 0.01 19 0.2 0.04 0.02 0.00 Malta 0 - - - - 0 - - - - The Netherlands 53 0.1 0.02 0.01 0.00 21 0.1 0.01 0.00 0.00 The Netherlands, Eindhoven 4 0.2 0.09 0.01 0.01 1 0.0 0.02 0.01 0.01 The Netherlands, Maastricht 0 - - - - 1 0.0 0.04 0.00 0.00 Norway 12 0.1 0.04 0.01 0.00 10 0.1 0.02 0.01 0.00*Poland, Cracow 4 0.2 0.09 0.03 0.01 3 0.1 0.05 0.02 0.01*Poland, Kielce 9 0.4 0.16 0.03 0.01 8 0.4 0.15 0.03 0.01*Poland, Lower Silesia 21 0.3 0.06 0.03 0.01 25 0.3 0.06 0.03 0.01 Poland, Warsaw City 27 0.6 0.13 0.05 0.01 17 0.3 0.08 0.03 0.01*Portugal, Vila Nova de Gaia 3 0.4 0.24 0.05 0.04 0 - - - - *Russia, St Petersburg 10 0.1 0.03 0.01 0.00 11 0.1 0.02 0.01 0.00 Slovakia 13 0.1 0.03 0.01 0.00 12 0.1 0.02 0.01 0.00 Slovenia 2 0.1 0.06 0.00 0.00 0 - - - - Spain, Albacete 0 - - - - 0 - - - - Spain, Asturias 6 0.2 0.10 0.02 0.01 4 0.1 0.04 0.01 0.01*Spain, Canary Islands 2 0.1 0.07 0.01 0.00 2 0.1 0.09 0.01 0.00 Spain, Cuenca 0 - - - - 0 - - - - Spain, Girona 3 0.4 0.25 0.04 0.02 0 - - - - Spain, Granada 7 0.3 0.11 0.03 0.01 2 0.1 0.05 0.00 0.00 Spain, Mallorca 1 0.1 0.08 0.01 0.01 0 - - - - Spain, Murcia 1 0.1 0.05 0.01 0.01 1 0.0 0.05 0.00 0.00 Spain, Navarra 3 0.2 0.11 0.02 0.01 1 0.0 0.04 0.01 0.01 Spain, Tarragona 5 0.3 0.13 0.03 0.01 1 0.1 0.06 0.00 0.00*Spain, Zaragoza 1 0.1 0.06 0.00 0.00 0 - - - - Sweden 21 0.1 0.02 0.01 0.00 18 0.0 0.01 0.00 0.00 Switzerland, Basel 2 0.1 0.10 0.02 0.01 0 - - - - Switzerland, Geneva 6 0.4 0.18 0.06 0.02 4 0.3 0.18 0.04 0.02 Switzerland, Graubunden and Glarus 1 0.3 0.25 0.01 0.01 1 0.1 0.12 0.02 0.02 Switzerland, Neuchatel 1 0.1 0.13 - - 1 0.2 0.24 0.02 0.02 Switzerland, St Gall-Appenzell 2 0.2 0.18 0.01 0.01 0 - - - - *Switzerland, Ticino 1 0.6 0.60 0.03 0.03 0 - - - - Switzerland, Valais 0 - - - - 0 - - - - Switzerland, Vaud 1 0.1 0.06 0.00 0.00 2 0.1 0.06 0.00 0.00 Switzerland, Zurich 5 0.3 0.14 0.02 0.01 1 0.1 0.10 0.00 0.00*UK, England 219 0.2 0.01 0.01 0.00 158 0.1 0.01 0.01 0.00 UK, England, East Anglia 7 0.1 0.06 0.01 0.00 1 0.0 0.02 0.00 0.00 UK, England, Merseyside and Cheshire 13 0.2 0.07 0.02 0.01 8 0.1 0.05 0.01 0.00 UK, England, North Western 20 0.2 0.04 0.01 0.00 9 0.1 0.02 0.01 0.00 UK, England, Oxford Region 13 0.2 0.06 0.01 0.00 14 0.2 0.06 0.01 0.00*UK, England, South Thames 34 0.2 0.03 0.02 0.00 32 0.1 0.03 0.01 0.00*UK, England, South and Western Regions 52 0.3 0.04 0.03 0.00 29 0.1 0.02 0.01 0.00 UK, England, Trent 18 0.1 0.04 0.01 0.00 9 0.1 0.02 0.00 0.00*UK, England, West Midlands Region 12 0.1 0.02 0.01 0.00 13 0.1 0.02 0.01 0.00 UK, England, Yorkshire 15 0.1 0.04 0.01 0.00 13 0.1 0.04 0.01 0.00 UK, Northern Ireland 25 0.5 0.10 0.06 0.01 26 0.5 0.10 0.05 0.01 UK, Scotland 20 0.2 0.04 0.01 0.00 21 0.1 0.03 0.01 0.00*Yugoslavia, Vojvodina 15 0.2 0.07 0.03 0.01 15 0.3 0.08 0.02 0.01

Oceania Australia, Capital Territory 0 - - - - 0 - - - - Australia, New South Wales 33 0.2 0.04 0.02 0.00 12 0.1 0.02 0.01 0.00 Australia, Northern Territory 0 - - - - 0 - - - - Australia, Queensland 25 0.3 0.06 0.02 0.00 17 0.2 0.05 0.02 0.00 Australia, South 3 0.1 0.05 0.00 0.00 1 0.0 0.03 0.00 0.00 Australia, Tasmania 2 0.2 0.16 0.02 0.01 2 0.1 0.11 0.01 0.01 Australia, Victoria 16 0.1 0.04 0.01 0.00 8 0.1 0.02 0.00 0.00 Australia, Western 6 0.1 0.05 0.01 0.00 4 0.1 0.05 0.01 0.00 New Zealand 20 0.2 0.05 0.02 0.00 8 0.1 0.03 0.00 0.00 USA, Hawaii: White 1 0.1 0.08 0.01 0.01 0 - - - - USA, Hawaii: Chinese 1 0.3 0.29 0.07 0.07 0 - - - - USA, Hawaii: Filipino 0 - - - - 0 - - - - USA, Hawaii: Hawaiian 1 0.2 0.21 0.01 0.01 1 0.2 0.17 0.01 0.01 USA, Hawaii: Japanese 0 - - - - 0 - - - -

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rates and standard errorsHodgkin disease (C81)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 33 0.6 0.10 0.04 0.01 27 0.5 0.09 0.04 0.01*France, La Reunion 6 1.0 0.40 0.08 0.04 2 0.3 0.20 0.02 0.01*The Gambia 6 0.5 0.25 - - 3 0.4 0.34 - - *Mali, Bamako 14 1.1 0.32 0.08 0.03 9 1.1 0.45 0.11 0.05*Uganda, Kyadondo County 18 1.2 0.40 0.15 0.07 20 0.7 0.20 0.05 0.02*Zimbabwe, Harare: African 23 0.6 0.14 0.04 0.01 16 0.5 0.14 0.04 0.01

America, Central and South*Argentina, Bahia Blanca 43 4.3 0.67 0.41 0.07 40 3.6 0.60 0.34 0.06*Argentina, Concordia 5 1.5 0.68 0.12 0.06 3 1.0 0.56 0.11 0.06*Brazil, Campinas 24 1.2 0.25 0.10 0.02 22 0.9 0.20 0.09 0.03*Brazil, Goiania 53 2.8 0.41 0.22 0.04 34 1.6 0.28 0.11 0.03 Colombia, Cali 59 1.5 0.21 0.13 0.03 34 0.8 0.15 0.07 0.02*Costa Rica 63 1.9 0.25 0.17 0.03 36 1.1 0.18 0.09 0.02*Cuba, Villa Clara 33 2.3 0.43 0.19 0.04 23 1.8 0.38 0.18 0.04*Ecuador, Quito 42 1.5 0.24 0.11 0.03 30 0.9 0.17 0.07 0.02*France, Martinique 9 0.9 0.30 0.08 0.03 11 1.1 0.33 0.08 0.03*USA, Puerto Rico 89 2.4 0.25 0.19 0.02 73 1.7 0.21 0.16 0.02*Uruguay, Montevideo 76 3.9 0.45 0.33 0.04 58 2.4 0.33 0.21 0.03

America, North Canada 2227 2.8 0.06 0.23 0.01 1788 2.3 0.06 0.18 0.00 Canada, Alberta 200 2.7 0.20 0.22 0.02 181 2.5 0.19 0.20 0.02 Canada, British Columbia 252 2.4 0.16 0.19 0.01 198 2.0 0.15 0.15 0.01 Canada, Manitoba 77 2.5 0.30 0.23 0.03 58 1.7 0.25 0.14 0.02 Canada, New Brunswick 48 2.3 0.35 0.17 0.03 36 1.7 0.30 0.13 0.02 Canada, Newfoundland 31 2.0 0.35 0.19 0.04 19 1.1 0.26 0.11 0.03 Canada, Northwest Territories 3 0.5 0.29 0.03 0.02 4 0.8 0.39 0.05 0.02 Canada, Nova Scotia 63 2.5 0.33 0.22 0.03 51 1.9 0.28 0.15 0.02 Canada, Ontario 878 2.9 0.10 0.24 0.01 709 2.5 0.10 0.18 0.01 Canada, Prince Edward Island 7 1.9 0.72 0.16 0.06 4 0.9 0.50 0.07 0.04+Canada, Quebec 590 3.0 0.13 0.26 0.01 459 2.3 0.12 0.19 0.01 Canada, Saskatchewan 78 2.9 0.34 0.23 0.03 70 2.6 0.33 0.22 0.03 Canada, Yukon 5 3.1 1.49 0.27 0.22 6 2.7 1.17 0.17 0.07 USA, California, Los Angeles: Non-Hispanic White 359 3.4 0.21 0.28 0.02 263 2.9 0.21 0.22 0.02 USA, California, Los Angeles: Hispanic White 165 2.3 0.21 0.21 0.03 105 1.6 0.17 0.16 0.02 USA, California, Los Angeles: Black 55 2.1 0.29 0.17 0.03 55 2.0 0.29 0.16 0.02 USA, California, Los Angeles: Chinese 7 0.7 0.29 0.05 0.02 1 0.1 0.13 0.01 0.01 USA, California, Los Angeles: Filipino 6 0.7 0.32 0.08 0.06 7 0.8 0.33 0.07 0.03 USA, California, Los Angeles: Japanese 2 0.3 0.19 0.04 0.03 2 0.7 0.52 0.05 0.04 USA, California, Los Angeles: Korean 0 - - - - 2 0.4 0.27 0.02 0.02 USA, California, San Francisco: Non-Hispanic White 191 3.1 0.24 0.26 0.02 164 2.9 0.25 0.22 0.02 USA, California, San Francisco: Hispanic White 38 2.7 0.48 0.25 0.05 28 2.0 0.38 0.14 0.03 USA, California, San Francisco: Black 39 3.1 0.51 0.27 0.05 29 2.1 0.41 0.17 0.04 USA, Connecticut: White 295 3.8 0.23 0.31 0.02 242 3.1 0.22 0.23 0.02 USA, Connecticut: Black 15 2.2 0.60 0.23 0.07 20 2.5 0.57 0.18 0.04 USA, Georgia, Atlanta: White 146 3.3 0.29 0.29 0.03 110 2.5 0.25 0.20 0.02 USA, Georgia, Atlanta: Black 53 2.6 0.39 0.23 0.04 35 1.3 0.23 0.10 0.02 USA, Iowa 207 2.8 0.20 0.22 0.02 214 2.7 0.20 0.21 0.02 USA, Louisiana, Central Region: White 18 3.1 0.73 0.32 0.08 15 2.6 0.70 0.22 0.06 USA, Louisiana, Central Region: Black 1 0.3 0.34 0.02 0.02 3 1.4 0.82 0.18 0.11 USA, Louisiana, New Orleans: White 63 3.7 0.48 0.29 0.04 43 2.6 0.41 0.21 0.03 USA, Louisiana, New Orleans: Black 15 1.8 0.46 0.19 0.06 15 1.3 0.35 0.12 0.03 USA, Michigan, Detroit: White 265 3.3 0.21 0.28 0.02 242 2.9 0.20 0.22 0.02 USA, Michigan, Detroit: Black 58 2.5 0.34 0.21 0.03 60 2.1 0.28 0.17 0.02 USA, New Jersey: White 632 3.7 0.15 0.30 0.01 544 3.2 0.15 0.25 0.01 USA, New Jersey: Black 83 2.9 0.33 0.27 0.04 57 1.7 0.24 0.14 0.02 USA, New Mexico: Non-Hispanic White 54 2.2 0.32 0.18 0.03 53 2.3 0.35 0.19 0.03 USA, New Mexico: Hispanic White 35 2.3 0.39 0.21 0.04 23 1.4 0.31 0.13 0.03 USA, New Mexico: American Indian 0 - - - - 3 0.8 0.48 0.08 0.05 USA, New York State: White 1257 3.4 0.10 0.28 0.01 1159 3.0 0.09 0.23 0.01 USA, New York State: Black 187 2.4 0.18 0.19 0.02 138 1.5 0.13 0.12 0.01 USA, Utah 133 2.6 0.23 0.21 0.02 108 2.0 0.20 0.16 0.02 USA, Washington, Seattle 301 2.9 0.18 0.23 0.02 238 2.4 0.16 0.19 0.01 USA, SEER: White 1661 3.1 0.08 0.25 0.01 1408 2.6 0.07 0.20 0.01 USA, SEER: Black 187 2.7 0.20 0.24 0.02 162 2.0 0.16 0.16 0.01

Asia*China, Beijing 20 0.3 0.07 0.02 0.01 11 0.2 0.06 0.01 0.00

+*China, Changle *China, Cixian *China, Hong Kong 74 0.4 0.05 0.05 0.01 61 0.3 0.04 0.03 0.00*China, Jiashan 3 0.3 0.15 0.03 0.02 2 0.3 0.22 0.03 0.02

+*China, Qidong County 1 0.0 0.03 0.00 0.00 0 - - - - +*China, Shanghai 70 0.4 0.05 0.03 0.00 34 0.2 0.03 0.01 0.00

*China, Taiwan 45 0.4 0.06 0.03 0.00 26 0.2 0.04 0.02 0.00*China, Tianjin 42 0.4 0.08 0.03 0.01 15 0.1 0.04 0.01 0.00+China, Wuhan 41 0.4 0.07 0.04 0.01 30 0.3 0.05 0.03 0.01

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rates and standard errorsHodgkin disease (C81) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 71 0.7 0.09 0.05 0.01 31 0.3 0.06 0.02 0.00*India, Bangalore 121 1.1 0.11 0.10 0.01 59 0.6 0.09 0.06 0.01 India, Chennai (Madras) 126 1.3 0.12 0.10 0.01 42 0.5 0.07 0.04 0.01*India, Delhi 332 1.7 0.10 0.15 0.01 99 0.7 0.08 0.07 0.01*India, Karunagappally 4 0.4 0.20 0.04 0.02 3 0.3 0.18 0.05 0.04 India, Mumbai (Bombay) 225 0.8 0.06 0.07 0.01 94 0.5 0.05 0.05 0.01*India, Nagpur 34 1.4 0.24 0.13 0.03 15 0.7 0.18 0.05 0.02*India, Poona 79 1.2 0.15 0.10 0.02 27 0.6 0.12 0.05 0.01*India, Trivandrum 20 0.8 0.18 0.06 0.02 6 0.2 0.09 0.02 0.01 Israel: Jews 374 3.3 0.17 0.27 0.02 385 3.3 0.17 0.26 0.01 Israel: Jews born in Israel 231 3.7 0.35 0.28 0.04 233 3.5 0.30 0.27 0.04 Israel: Jews born in Europe or America 97 3.2 0.38 0.27 0.03 117 3.5 0.40 0.29 0.03 Israel: Jews born in Africa or Asia 46 2.1 0.50 0.19 0.04 35 2.9 0.96 0.21 0.06 Israel: Non-Jews 55 2.0 0.29 0.15 0.03 44 1.7 0.27 0.14 0.03 Japan, Hiroshima 13 0.4 0.12 0.04 0.01 6 0.2 0.10 0.02 0.01*Japan, Miyagi Prefecture 36 0.5 0.09 0.05 0.01 14 0.2 0.06 0.02 0.01*Japan, Nagasaki Prefecture 12 0.3 0.10 0.03 0.01 16 0.3 0.08 0.03 0.01*Japan, Osaka Prefecture 104 0.4 0.04 0.04 0.00 63 0.2 0.03 0.02 0.00*Japan, Saga Prefecture 7 0.3 0.13 0.03 0.01 2 0.1 0.06 0.00 0.00*Japan, Yamagata Prefecture 6 0.1 0.06 0.01 0.00 3 0.1 0.05 0.01 0.00*Korea, Busan 10 0.3 0.10 0.04 0.02 9 0.2 0.07 0.02 0.01*Korea, Daegu 6 0.2 0.10 0.02 0.01 2 0.1 0.05 0.01 0.01*Korea, Kangwha County 3 1.2 0.70 0.14 0.08 1 0.5 0.53 0.04 0.04*Korea, Seoul 91 0.4 0.04 0.04 0.01 68 0.2 0.03 0.02 0.00*Kuwait: Kuwaitis 19 1.7 0.44 0.16 0.05 20 1.8 0.46 0.17 0.05*Kuwait: Non-Kuwaitis 46 1.3 0.25 0.10 0.02 24 1.9 0.64 0.08 0.02*Oman: Omani 61 1.8 0.26 0.15 0.03 34 1.3 0.26 0.15 0.04*Pakistan, South Karachi 69 2.8 0.38 0.24 0.04 14 0.7 0.22 0.08 0.03*Philippines, Manila 73 0.8 0.12 0.09 0.02 51 0.5 0.08 0.07 0.01*Philippines, Rizal 34 0.4 0.08 0.04 0.01 25 0.2 0.05 0.02 0.01 Singapore: Chinese 30 0.5 0.10 0.04 0.01 22 0.4 0.08 0.03 0.01 Singapore: Indian 11 1.7 0.52 0.17 0.06 4 0.8 0.41 0.06 0.04 Singapore: Malay 11 1.1 0.36 0.13 0.05 6 0.6 0.24 0.04 0.02*Thailand, Bangkok 25 0.3 0.06 0.03 0.01 15 0.2 0.05 0.02 0.01*Thailand, Chiang Mai 27 0.7 0.14 0.08 0.02 15 0.4 0.10 0.05 0.01*Thailand, Khon Kaen 21 0.5 0.12 0.05 0.01 14 0.4 0.10 0.05 0.02*Thailand, Lampang 12 0.7 0.21 0.07 0.02 9 0.4 0.15 0.03 0.01*Thailand, Songkhla 16 0.8 0.20 0.07 0.02 3 0.1 0.07 0.01 0.01*Viet Nam, Hanoi 82 1.7 0.19 - - 37 0.7 0.11 - - *Viet Nam, Ho Chi Minh City 23 0.3 0.07 0.04 0.01 14 0.2 0.05 0.02 0.01

Europe Austria, Tyrol 31 1.8 0.33 0.16 0.03 27 1.5 0.30 0.12 0.02 Austria, Vorarlberg 17 1.5 0.37 0.16 0.04 22 2.3 0.50 0.18 0.04

+*Belarus 669 2.6 0.10 0.22 0.01 681 2.5 0.10 0.19 0.01*Belgium, Flanders, (excl. Limburg) 140 2.4 0.22 0.20 0.02 107 1.9 0.20 0.15 0.01*Belgium, Limburg 21 2.2 0.49 0.25 0.06 20 2.6 0.60 0.20 0.05*Croatia 166 1.3 0.11 0.11 0.01 165 1.3 0.11 0.10 0.01 Czech Republic 751 2.7 0.10 0.23 0.01 711 2.3 0.09 0.19 0.01 Denmark 357 2.4 0.13 0.20 0.01 240 1.6 0.11 0.12 0.01 Estonia 94 2.5 0.27 0.22 0.02 84 2.0 0.23 0.15 0.02 Finland 370 2.7 0.15 0.22 0.01 290 2.1 0.13 0.16 0.01 France, Bas-Rhin 87 3.2 0.36 0.27 0.03 69 2.5 0.31 0.20 0.03*France, Calvados 47 2.7 0.40 0.25 0.04 28 1.6 0.31 0.12 0.02 France, Cote d’Or 29 1.9 0.36 0.14 0.03 19 1.4 0.33 0.11 0.03 France, Doubs 35 2.6 0.45 0.19 0.03 33 2.1 0.39 0.17 0.03 France, Haut-Rhin 61 3.2 0.41 0.29 0.04 34 1.8 0.32 0.13 0.02*France, Herault 51 2.4 0.35 0.17 0.03 37 1.5 0.27 0.11 0.02 France, Isere 63 2.1 0.28 0.18 0.02 51 1.7 0.25 0.14 0.02*France, Manche 21 2.0 0.46 0.15 0.04 18 1.8 0.46 0.12 0.03*France, Somme 46 3.0 0.45 0.25 0.04 27 1.7 0.34 0.14 0.03 France, Tarn 22 2.1 0.49 0.18 0.04 14 1.6 0.45 0.12 0.03 Germany, Saarland 68 2.4 0.31 0.19 0.02 50 1.7 0.27 0.14 0.02 Iceland 20 2.9 0.66 0.21 0.05 13 1.6 0.48 0.10 0.03 Ireland 172 2.2 0.17 0.19 0.02 142 1.8 0.15 0.15 0.01 Italy, Biella Province 16 4.2 1.10 0.37 0.10 12 4.6 1.54 0.30 0.10 Italy, Ferrara Province 27 2.7 0.57 0.23 0.04 20 1.7 0.45 0.12 0.03*Italy, Florence 120 3.8 0.38 0.30 0.03 117 3.2 0.35 0.25 0.03 Italy, Genoa Province 64 3.4 0.47 0.26 0.03 66 3.0 0.44 0.22 0.03 Italy, Liguria Italy, Macerata Province 23 2.5 0.56 0.23 0.05 25 3.2 0.74 0.24 0.05 Italy, Modena Province 39 2.0 0.36 0.18 0.03 52 2.7 0.42 0.22 0.03 Italy, North East 81 2.5 0.31 0.19 0.02 91 2.6 0.31 0.19 0.02

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rates and standard errorsHodgkin disease (C81) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 18 1.4 0.35 0.12 0.03 29 2.9 0.60 0.22 0.04*Italy, Ragusa Province 18 2.3 0.56 0.20 0.05 22 2.8 0.64 0.20 0.04 Italy, Romagna 66 2.3 0.31 0.19 0.02 51 1.8 0.29 0.14 0.02 Italy, Sassari 45 3.6 0.56 0.30 0.05 22 1.3 0.29 0.15 0.03 Italy, Torino 65 2.7 0.37 0.20 0.03 57 2.2 0.33 0.18 0.02 Italy, Umbria 37 2.5 0.48 0.22 0.04 34 2.7 0.51 0.19 0.04 Italy, Varese Province 74 3.5 0.43 0.26 0.03 55 2.5 0.36 0.19 0.03 Italy, Venetian Region 146 3.7 0.33 0.29 0.03 127 2.8 0.28 0.21 0.02*Latvia 151 2.4 0.20 0.21 0.02 128 1.9 0.18 0.15 0.01 Lithuania 264 2.8 0.18 0.24 0.02 262 2.5 0.16 0.20 0.01 Malta 30 3.2 0.60 0.25 0.05 23 2.0 0.44 0.21 0.05 The Netherlands 955 2.2 0.07 0.19 0.01 730 1.7 0.07 0.14 0.01 The Netherlands, Eindhoven 75 2.9 0.35 0.23 0.03 44 1.6 0.25 0.14 0.02 The Netherlands, Maastricht 52 1.9 0.26 0.18 0.03 33 1.6 0.29 0.11 0.02 Norway 251 2.2 0.14 0.17 0.01 155 1.3 0.11 0.10 0.01*Poland, Cracow 50 2.6 0.38 0.25 0.04 49 2.1 0.32 0.18 0.03*Poland, Kielce 46 1.9 0.28 0.15 0.02 46 1.8 0.28 0.15 0.02*Poland, Lower Silesia 172 2.1 0.17 0.21 0.02 153 1.8 0.16 0.15 0.01 Poland, Warsaw City 100 2.5 0.26 0.20 0.02 79 1.7 0.21 0.13 0.02*Portugal, Vila Nova de Gaia 11 1.4 0.42 0.11 0.03 4 0.5 0.28 0.03 0.02*Russia, St Petersburg 208 2.1 0.15 0.18 0.01 233 2.2 0.15 0.16 0.01 Slovakia 286 2.1 0.12 0.18 0.01 263 1.8 0.11 0.14 0.01 Slovenia 106 2.0 0.20 0.16 0.02 89 1.6 0.18 0.12 0.01 Spain, Albacete 24 2.5 0.53 0.23 0.05 11 0.9 0.28 0.08 0.03 Spain, Asturias 80 3.4 0.40 0.27 0.03 59 2.2 0.31 0.18 0.03*Spain, Canary Islands 57 2.7 0.37 0.27 0.04 51 2.1 0.30 0.16 0.03 Spain, Cuenca 13 2.5 0.72 0.20 0.06 9 1.4 0.49 0.14 0.05 Spain, Girona 29 3.4 0.69 0.25 0.05 14 1.6 0.43 0.11 0.03 Spain, Granada 39 1.7 0.28 0.13 0.02 36 1.4 0.25 0.11 0.02 Spain, Mallorca 34 2.7 0.47 0.19 0.03 24 1.6 0.35 0.13 0.03 Spain, Murcia 57 2.3 0.31 0.19 0.03 31 1.3 0.24 0.11 0.02 Spain, Navarra 45 3.0 0.47 0.28 0.04 37 2.3 0.40 0.19 0.03 Spain, Tarragona 51 3.1 0.45 0.26 0.04 34 2.1 0.41 0.15 0.03*Spain, Zaragoza 78 3.2 0.39 0.28 0.03 52 2.2 0.32 0.17 0.02 Sweden 495 2.0 0.10 0.17 0.01 405 1.7 0.09 0.13 0.01 Switzerland, Basel 44 3.8 0.63 0.28 0.05 23 2.0 0.50 0.15 0.03 Switzerland, Geneva 38 3.8 0.68 0.31 0.06 27 2.2 0.47 0.20 0.04 Switzerland, Graubunden and Glarus 15 2.2 0.59 0.22 0.06 7 1.2 0.49 0.09 0.04 Switzerland, Neuchatel 7 1.8 0.70 0.17 0.07 8 2.6 0.98 0.19 0.07 Switzerland, St Gall-Appenzell 31 2.3 0.42 0.18 0.04 37 2.6 0.47 0.20 0.04*Switzerland, Ticino 9 2.4 0.92 0.15 0.06 9 3.0 1.18 0.19 0.07 Switzerland, Valais 29 4.2 0.81 0.30 0.06 19 2.7 0.65 0.23 0.06 Switzerland, Vaud 37 2.7 0.47 0.24 0.04 29 2.2 0.44 0.16 0.03 Switzerland, Zurich 62 2.4 0.33 0.19 0.03 55 2.2 0.33 0.17 0.02*UK, England 3084 2.3 0.04 0.19 0.00 2323 1.7 0.04 0.13 0.00 UK, England, East Anglia 140 2.4 0.21 0.20 0.02 122 2.0 0.19 0.17 0.02 UK, England, Merseyside and Cheshire 127 1.9 0.18 0.16 0.02 113 1.6 0.17 0.13 0.01 UK, England, North Western 278 2.6 0.16 0.21 0.01 204 1.9 0.14 0.15 0.01 UK, England, Oxford Region 200 2.8 0.20 0.23 0.02 134 2.0 0.18 0.15 0.01*UK, England, South Thames 425 2.3 0.12 0.19 0.01 327 1.7 0.10 0.13 0.01*UK, England, South and Western Regions 444 2.4 0.12 0.21 0.01 364 2.1 0.12 0.16 0.01 UK, England, Trent 272 2.0 0.13 0.17 0.01 178 1.4 0.12 0.11 0.01*UK, England, West Midlands Region 334 2.3 0.13 0.20 0.01 225 1.6 0.11 0.13 0.01 UK, England, Yorkshire 253 2.5 0.16 0.21 0.01 194 1.8 0.14 0.15 0.01 UK, Northern Ireland 122 2.7 0.25 0.24 0.02 84 1.8 0.21 0.15 0.02 UK, Scotland 387 2.7 0.14 0.23 0.01 295 1.9 0.12 0.16 0.01*Yugoslavia, Vojvodina 126 2.2 0.21 0.20 0.02 110 1.9 0.19 0.16 0.02

Oceania Australia, Capital Territory 17 2.0 0.50 0.16 0.04 19 2.4 0.55 0.18 0.05 Australia, New South Wales 341 2.0 0.11 0.18 0.01 270 1.6 0.10 0.13 0.01 Australia, Northern Territory 4 0.8 0.42 0.09 0.05 3 0.6 0.34 0.04 0.02 Australia, Queensland 164 1.9 0.15 0.15 0.01 138 1.6 0.14 0.13 0.01 Australia, South 92 2.3 0.25 0.19 0.02 72 1.7 0.22 0.14 0.02 Australia, Tasmania 29 2.3 0.44 0.19 0.04 22 1.9 0.42 0.14 0.03 Australia, Victoria 304 2.4 0.14 0.19 0.01 235 1.8 0.12 0.14 0.01 Australia, Western 66 1.4 0.17 0.11 0.02 74 1.6 0.19 0.13 0.02 New Zealand 177 1.8 0.14 0.15 0.01 119 1.1 0.11 0.10 0.01 USA, Hawaii: White 24 2.7 0.58 0.27 0.06 15 1.8 0.50 0.15 0.04 USA, Hawaii: Chinese 0 - - - - 0 - - - - USA, Hawaii: Filipino 4 0.9 0.46 0.05 0.03 8 1.6 0.60 0.12 0.04 USA, Hawaii: Hawaiian 4 0.7 0.37 0.05 0.03 9 1.5 0.52 0.13 0.04 USA, Hawaii: Japanese 4 0.5 0.23 0.05 0.03 7 0.5 0.28 0.04 0.02

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rates and standard errorsNon-Hodgkin lymphoma (C82-85,C96)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 161 3.6 0.30 0.38 0.04 109 2.4 0.24 0.26 0.03*France, La Reunion 39 7.5 1.22 0.85 0.17 20 3.2 0.73 0.34 0.10*The Gambia 19 2.4 0.64 - - 13 1.0 0.38 - - *Mali, Bamako 20 2.0 0.49 0.13 0.03 18 2.2 0.62 0.19 0.06*Uganda, Kyadondo County 141 5.8 0.67 0.45 0.08 110 4.2 0.59 0.39 0.09*Zimbabwe, Harare: African 133 5.7 0.62 0.61 0.10 92 5.3 0.75 0.57 0.12

America, Central and South*Argentina, Bahia Blanca 84 8.3 0.92 0.86 0.11 60 4.5 0.62 0.46 0.07*Argentina, Concordia 23 7.6 1.59 0.96 0.23 11 3.0 0.92 0.41 0.13*Brazil, Campinas 132 7.4 0.67 0.78 0.09 105 5.3 0.53 0.57 0.07*Brazil, Goiania 91 6.8 0.75 0.77 0.11 90 5.9 0.64 0.66 0.09 Colombia, Cali 230 7.3 0.52 0.76 0.07 205 6.0 0.44 0.71 0.06*Costa Rica 190 6.7 0.51 0.74 0.07 120 4.4 0.42 0.52 0.06*Cuba, Villa Clara 74 5.0 0.61 0.55 0.08 45 2.9 0.46 0.31 0.06*Ecuador, Quito 218 9.6 0.69 1.09 0.10 208 7.7 0.56 0.84 0.08*France, Martinique 68 6.6 0.82 0.69 0.10 78 6.3 0.74 0.75 0.10*USA, Puerto Rico 328 8.6 0.49 0.90 0.06 263 5.7 0.37 0.61 0.05*Uruguay, Montevideo 233 9.9 0.67 1.07 0.08 247 7.1 0.50 0.77 0.06

America, North Canada 12867 13.9 0.13 1.52 0.02 11017 10.0 0.10 1.13 0.01 Canada, Alberta 943 12.0 0.40 1.31 0.05 770 8.9 0.34 1.04 0.05 Canada, British Columbia 1716 13.6 0.34 1.49 0.04 1327 8.9 0.27 1.03 0.04 Canada, Manitoba 573 15.3 0.67 1.70 0.09 514 11.7 0.58 1.31 0.07 Canada, New Brunswick 356 14.7 0.81 1.66 0.11 346 12.1 0.71 1.31 0.09 Canada, Newfoundland 149 8.8 0.73 0.94 0.09 146 8.2 0.70 0.93 0.09 Canada, Northwest Territories 28 8.4 1.73 0.84 0.23 19 7.0 1.79 0.76 0.24 Canada, Nova Scotia 399 13.1 0.68 1.39 0.09 349 9.5 0.56 1.04 0.07 Canada, Ontario 5001 14.5 0.21 1.58 0.03 4313 10.5 0.17 1.19 0.02 Canada, Prince Edward Island 61 14.3 1.90 1.57 0.24 43 8.7 1.45 0.86 0.16+Canada, Quebec 3223 14.3 0.26 1.54 0.03 2811 9.9 0.20 1.10 0.03 Canada, Saskatchewan 423 12.3 0.64 1.39 0.08 390 9.8 0.56 1.17 0.07 Canada, Yukon 14 7.7 2.19 1.14 0.39 9 6.3 2.23 0.98 0.41 USA, California, Los Angeles: Non-Hispanic White 2617 19.5 0.42 2.00 0.05 1801 10.3 0.29 1.18 0.04 USA, California, Los Angeles: Hispanic White 841 16.4 0.64 1.80 0.09 545 10.5 0.47 1.25 0.07 USA, California, Los Angeles: Black 335 13.1 0.74 1.40 0.09 237 7.2 0.49 0.75 0.06 USA, California, Los Angeles: Chinese 68 8.6 1.08 0.88 0.13 50 5.2 0.78 0.64 0.11 USA, California, Los Angeles: Filipino 88 12.8 1.43 1.47 0.22 71 8.7 1.09 0.95 0.14 USA, California, Los Angeles: Japanese 50 10.0 1.59 1.01 0.17 38 6.3 1.10 0.64 0.12 USA, California, Los Angeles: Korean 25 6.2 1.31 0.67 0.17 19 3.5 0.83 0.44 0.12 USA, California, San Francisco: Non-Hispanic White 1871 24.6 0.60 2.51 0.07 1097 11.3 0.40 1.28 0.05 USA, California, San Francisco: Hispanic White 238 18.1 1.26 1.82 0.15 137 9.8 0.88 1.04 0.11 USA, California, San Francisco: Black 222 17.8 1.23 1.69 0.13 107 7.0 0.72 0.69 0.08 USA, Connecticut: White 1682 16.6 0.43 1.78 0.05 1589 11.6 0.33 1.32 0.04 USA, Connecticut: Black 113 17.3 1.68 1.91 0.22 66 8.2 1.04 0.93 0.14 USA, Georgia, Atlanta: White 741 16.9 0.64 1.89 0.09 541 9.7 0.45 1.16 0.07 USA, Georgia, Atlanta: Black 226 12.9 0.94 1.31 0.12 158 7.4 0.62 0.81 0.09 USA, Iowa 1486 14.7 0.41 1.63 0.05 1476 11.1 0.34 1.29 0.04 USA, Louisiana, Central Region: White 81 11.6 1.35 1.30 0.17 102 11.1 1.22 1.35 0.17 USA, Louisiana, Central Region: Black 15 7.2 1.94 0.71 0.25 22 9.0 2.06 1.25 0.31 USA, Louisiana, New Orleans: White 376 18.8 1.01 2.10 0.13 298 10.4 0.68 1.16 0.09 USA, Louisiana, New Orleans: Black 110 13.1 1.28 1.40 0.16 91 7.4 0.80 0.80 0.11 USA, Michigan, Detroit: White 1558 15.8 0.41 1.74 0.05 1434 10.9 0.32 1.27 0.04 USA, Michigan, Detroit: Black 357 14.7 0.79 1.50 0.09 222 6.7 0.47 0.74 0.06 USA, New Jersey: White 3752 16.7 0.29 1.82 0.04 3500 11.6 0.22 1.30 0.03 USA, New Jersey: Black 409 14.8 0.75 1.52 0.09 319 9.1 0.52 0.95 0.06 USA, New Mexico: Non-Hispanic White 399 12.9 0.68 1.43 0.09 340 9.1 0.55 1.06 0.07 USA, New Mexico: Hispanic White 154 9.9 0.81 1.12 0.11 114 6.4 0.62 0.72 0.09 USA, New Mexico: American Indian 13 4.9 1.42 0.60 0.22 16 5.3 1.35 0.61 0.17 USA, New York State: White 8260 17.6 0.20 1.87 0.02 7072 11.0 0.15 1.23 0.02 USA, New York State: Black 1109 14.8 0.45 1.52 0.05 785 7.5 0.28 0.79 0.03 USA, Utah 711 14.4 0.56 1.60 0.08 543 9.5 0.43 1.11 0.06 USA, Washington, Seattle 1972 16.9 0.40 1.84 0.05 1489 10.8 0.31 1.24 0.04 USA, SEER: White 10770 16.8 0.17 1.82 0.02 8695 10.6 0.13 1.22 0.02 USA, SEER: Black 1023 15.4 0.50 1.56 0.06 598 7.3 0.31 0.80 0.04

Asia*China, Beijing 261 3.4 0.23 0.36 0.03 194 2.5 0.19 0.27 0.02

+*China, Changle *China, Cixian *China, Hong Kong 1501 8.3 0.22 0.88 0.03 1080 5.4 0.18 0.56 0.02*China, Jiashan 33 3.5 0.68 0.36 0.07 16 1.5 0.40 0.17 0.05

+*China, Qidong County 95 3.1 0.33 0.37 0.04 68 1.8 0.23 0.18 0.03+*China, Shanghai 985 4.3 0.15 0.47 0.02 692 3.0 0.13 0.33 0.01

*China, Taiwan 696 5.8 0.23 0.62 0.03 491 4.5 0.21 0.49 0.03*China, Tianjin 291 2.7 0.16 0.30 0.02 195 1.6 0.12 0.18 0.02+China, Wuhan 440 4.3 0.22 0.48 0.03 233 2.2 0.15 0.26 0.02

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rates and standard errorsNon-Hodgkin lymphoma (C82-85,C96) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 189 2.5 0.20 0.28 0.03 83 1.2 0.14 0.13 0.02*India, Bangalore 267 2.9 0.19 0.33 0.03 155 2.0 0.17 0.22 0.02 India, Chennai (Madras) 299 3.4 0.20 0.36 0.03 181 2.2 0.17 0.26 0.02*India, Delhi 690 4.6 0.19 0.50 0.03 328 2.8 0.16 0.34 0.02*India, Karunagappally 39 4.4 0.71 0.57 0.11 15 1.5 0.39 0.15 0.05 India, Mumbai (Bombay) 920 4.5 0.16 0.52 0.03 518 3.3 0.15 0.38 0.02*India, Nagpur 65 2.8 0.36 0.27 0.04 33 1.7 0.31 0.17 0.04*India, Poona 191 3.9 0.31 0.45 0.04 92 2.1 0.23 0.25 0.03*India, Trivandrum 64 2.6 0.34 0.28 0.04 56 2.2 0.30 0.28 0.04 Israel: Jews 1914 15.3 0.36 1.67 0.05 1824 12.1 0.30 1.32 0.04 Israel: Jews born in Israel 496 15.7 0.94 1.80 0.14 372 11.7 0.78 1.32 0.11 Israel: Jews born in Europe or America 1008 16.5 0.70 1.80 0.07 1065 12.8 0.52 1.42 0.06 Israel: Jews born in Africa or Asia 410 14.5 1.21 1.53 0.10 387 9.9 0.70 1.10 0.07 Israel: Non-Jews 163 9.7 0.83 0.99 0.11 105 6.2 0.64 0.76 0.10 Japan, Hiroshima 248 7.4 0.48 0.78 0.06 208 4.8 0.36 0.50 0.04*Japan, Miyagi Prefecture 518 6.3 0.29 0.68 0.04 401 3.7 0.21 0.42 0.03*Japan, Nagasaki Prefecture 510 8.2 0.39 0.93 0.05 371 4.4 0.27 0.46 0.03*Japan, Osaka Prefecture 1842 6.3 0.16 0.65 0.02 1304 3.6 0.11 0.37 0.01*Japan, Saga Prefecture 265 7.7 0.52 0.85 0.06 173 3.8 0.36 0.43 0.04*Japan, Yamagata Prefecture 274 5.1 0.34 0.54 0.04 244 3.6 0.29 0.39 0.03*Korea, Busan 131 4.1 0.39 0.46 0.05 113 2.9 0.29 0.32 0.04*Korea, Daegu 99 4.7 0.51 0.53 0.07 81 3.1 0.35 0.34 0.05*Korea, Kangwha County 9 3.9 1.35 0.31 0.12 4 1.5 0.86 0.08 0.06*Korea, Seoul 1275 6.2 0.19 0.69 0.03 901 3.6 0.13 0.41 0.02*Kuwait: Kuwaitis 69 8.6 1.14 0.99 0.17 36 4.9 0.90 0.59 0.13*Kuwait: Non-Kuwaitis 126 7.2 1.51 0.57 0.17 43 8.5 1.82 0.87 0.26*Oman: Omani 208 8.1 0.62 0.85 0.08 134 5.7 0.54 0.61 0.07*Pakistan, South Karachi 100 5.1 0.55 0.54 0.07 49 3.7 0.60 0.44 0.08*Philippines, Manila 463 6.4 0.34 0.73 0.05 352 4.2 0.24 0.46 0.03*Philippines, Rizal 396 5.6 0.33 0.62 0.05 272 3.3 0.22 0.36 0.03 Singapore: Chinese 429 7.6 0.38 0.80 0.05 297 4.5 0.27 0.48 0.03 Singapore: Indian 19 3.1 0.73 0.26 0.07 12 2.5 0.78 0.32 0.13 Singapore: Malay 77 8.8 1.03 0.99 0.14 41 4.9 0.78 0.52 0.10*Thailand, Bangkok 375 5.0 0.28 0.51 0.04 308 3.7 0.22 0.41 0.03*Thailand, Chiang Mai 226 6.2 0.42 0.69 0.05 145 3.9 0.33 0.44 0.04*Thailand, Khon Kaen 129 3.7 0.34 0.40 0.05 102 2.7 0.27 0.27 0.03*Thailand, Lampang 119 5.9 0.56 0.64 0.07 78 3.6 0.41 0.39 0.05*Thailand, Songkhla 90 4.5 0.48 0.45 0.06 59 2.7 0.36 0.28 0.05*Viet Nam, Hanoi 328 7.2 0.41 - - 163 3.1 0.24 - - *Viet Nam, Ho Chi Minh City 214 3.2 0.23 0.33 0.03 180 2.0 0.16 0.22 0.02

Europe Austria, Tyrol 125 6.2 0.57 0.64 0.07 104 3.8 0.41 0.46 0.05 Austria, Vorarlberg 91 8.9 0.96 0.96 0.12 87 6.2 0.73 0.69 0.09

+*Belarus 1120 4.2 0.13 0.45 0.02 940 2.5 0.09 0.27 0.01*Belgium, Flanders, (excl. Limburg) 887 11.8 0.43 1.26 0.05 726 7.6 0.33 0.85 0.04*Belgium, Limburg 152 14.2 1.21 1.52 0.14 163 13.1 1.09 1.54 0.14*Croatia 704 4.9 0.20 0.57 0.03 686 3.8 0.16 0.41 0.02 Czech Republic 2267 7.1 0.15 0.79 0.02 2079 4.8 0.12 0.52 0.01 Denmark 1928 10.2 0.25 1.11 0.03 1690 7.3 0.20 0.81 0.02 Estonia 258 6.2 0.39 0.71 0.05 216 3.3 0.25 0.39 0.03 Finland 2065 12.1 0.28 1.32 0.03 2120 8.8 0.22 0.97 0.03 France, Bas-Rhin 394 13.0 0.67 1.45 0.09 349 8.4 0.50 0.93 0.06*France, Calvados 206 10.2 0.73 1.16 0.09 193 7.2 0.57 0.82 0.07 France, Cote d’Or 139 8.2 0.74 0.81 0.08 139 6.4 0.61 0.67 0.07 France, Doubs 219 13.8 0.95 1.53 0.12 198 9.2 0.72 1.03 0.09 France, Haut-Rhin 268 12.7 0.80 1.36 0.10 241 8.6 0.60 0.94 0.07*France, Herault 344 11.1 0.64 1.18 0.07 258 6.8 0.50 0.72 0.05 France, Isere 417 12.8 0.64 1.34 0.08 333 8.0 0.48 0.84 0.06*France, Manche 155 10.6 0.90 1.27 0.12 140 7.1 0.70 0.78 0.08*France, Somme 182 10.1 0.78 1.10 0.09 136 5.7 0.56 0.64 0.07 France, Tarn 135 9.0 0.85 1.05 0.11 104 5.4 0.67 0.53 0.07 Germany, Saarland 400 10.1 0.54 1.13 0.06 382 6.9 0.41 0.80 0.05 Iceland 91 11.4 1.23 1.19 0.15 65 7.3 0.97 0.81 0.12 Ireland 821 9.7 0.35 1.07 0.04 724 7.5 0.30 0.86 0.04 Italy, Biella Province 53 10.4 1.50 1.21 0.19 61 8.9 1.42 0.98 0.16 Italy, Ferrara Province 236 15.7 1.23 1.68 0.13 181 8.5 0.78 0.93 0.09*Italy, Florence 577 12.9 0.64 1.32 0.06 581 9.8 0.50 1.07 0.05 Italy, Genoa Province 406 13.0 0.74 1.36 0.08 443 10.0 0.60 1.08 0.06 Italy, Liguria Italy, Macerata Province 143 11.4 1.07 1.29 0.12 140 9.6 0.99 1.03 0.10 Italy, Modena Province 401 15.8 0.90 1.70 0.10 330 10.4 0.69 1.15 0.08 Italy, North East 660 13.1 0.55 1.45 0.07 679 9.9 0.46 1.12 0.05

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rates and standard errorsNon-Hodgkin lymphoma (C82-85,C96) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 224 12.3 0.93 1.33 0.11 241 10.5 0.86 1.19 0.10*Italy, Ragusa Province 82 8.0 0.96 0.78 0.10 50 4.5 0.72 0.49 0.08 Italy, Romagna 658 15.5 0.68 1.67 0.08 502 9.8 0.53 1.06 0.06 Italy, Sassari 162 10.8 0.91 1.18 0.10 129 6.9 0.65 0.82 0.08 Italy, Torino 479 12.5 0.61 1.38 0.07 414 8.2 0.51 0.90 0.05 Italy, Umbria 247 11.4 0.82 1.22 0.09 206 8.3 0.74 0.89 0.07 Italy, Varese Province 383 13.2 0.72 1.33 0.08 376 9.6 0.58 1.04 0.07 Italy, Venetian Region 880 15.8 0.58 1.66 0.07 856 11.1 0.44 1.23 0.05*Latvia 259 3.8 0.24 0.40 0.03 224 2.1 0.16 0.25 0.02 Lithuania 406 4.1 0.21 0.45 0.03 376 2.7 0.15 0.29 0.02 Malta 121 11.0 1.03 1.23 0.13 96 7.1 0.76 0.84 0.10 The Netherlands 5524 10.9 0.15 1.20 0.02 4614 7.0 0.12 0.78 0.01 The Netherlands, Eindhoven 303 9.8 0.58 1.11 0.08 249 6.6 0.45 0.67 0.05 The Netherlands, Maastricht 316 10.6 0.62 1.17 0.08 249 6.5 0.47 0.68 0.05 Norway 1603 10.3 0.28 1.12 0.03 1370 7.4 0.23 0.84 0.03*Poland, Cracow 144 6.7 0.56 0.73 0.07 148 5.0 0.44 0.57 0.05*Poland, Kielce 144 5.5 0.47 0.64 0.06 99 2.9 0.31 0.34 0.04*Poland, Lower Silesia 430 5.4 0.27 0.63 0.03 333 3.2 0.19 0.36 0.02 Poland, Warsaw City 342 6.5 0.38 0.72 0.04 321 4.2 0.26 0.49 0.03*Portugal, Vila Nova de Gaia 60 8.4 1.11 0.75 0.12 61 7.3 1.01 0.82 0.12*Russia, St Petersburg 459 4.5 0.22 0.50 0.03 482 3.0 0.16 0.30 0.02 Slovakia 876 6.0 0.21 0.66 0.03 755 4.0 0.16 0.45 0.02 Slovenia 444 7.5 0.36 0.77 0.04 466 5.7 0.29 0.61 0.03 Spain, Albacete 96 8.1 0.87 0.88 0.10 72 5.4 0.70 0.59 0.08 Spain, Asturias 295 9.2 0.59 1.03 0.07 285 6.4 0.47 0.72 0.05*Spain, Canary Islands 277 12.1 0.75 1.38 0.10 262 9.7 0.62 1.20 0.09 Spain, Cuenca 49 8.3 1.43 0.78 0.12 27 2.6 0.63 0.27 0.07 Spain, Girona 153 13.0 1.12 1.35 0.13 81 5.7 0.72 0.63 0.09 Spain, Granada 193 7.6 0.56 0.83 0.07 179 6.0 0.50 0.61 0.05 Spain, Mallorca 162 10.0 0.83 0.99 0.09 135 6.0 0.58 0.66 0.07 Spain, Murcia 238 9.3 0.62 0.93 0.07 188 5.8 0.46 0.67 0.06 Spain, Navarra 177 9.3 0.76 0.96 0.08 159 7.3 0.65 0.78 0.07 Spain, Tarragona 195 9.3 0.71 0.98 0.08 187 7.7 0.64 0.82 0.07*Spain, Zaragoza 263 8.9 0.62 1.00 0.07 231 6.3 0.52 0.66 0.05 Sweden 3657 10.1 0.18 1.10 0.02 3146 6.9 0.14 0.80 0.02 Switzerland, Basel 236 14.3 1.01 1.52 0.12 221 10.1 0.83 1.07 0.09 Switzerland, Geneva 163 11.7 1.00 1.19 0.11 135 7.8 0.75 0.84 0.09 Switzerland, Graubunden and Glarus 76 9.4 1.13 1.14 0.16 75 7.6 1.01 0.90 0.13 Switzerland, Neuchatel 68 15.0 1.98 1.79 0.25 29 5.0 1.07 0.56 0.12 Switzerland, St Gall-Appenzell 176 9.9 0.79 1.02 0.10 178 8.0 0.68 0.89 0.09*Switzerland, Ticino 76 16.3 1.97 1.95 0.26 77 12.9 1.74 1.37 0.19 Switzerland, Valais 90 10.2 1.12 1.09 0.13 67 6.4 0.84 0.73 0.11 Switzerland, Vaud 254 15.3 1.02 1.70 0.13 219 9.6 0.77 1.04 0.09 Switzerland, Zurich 484 14.4 0.69 1.55 0.09 441 9.9 0.53 1.10 0.07*UK, England 17476 10.0 0.08 1.10 0.01 15225 6.6 0.06 0.75 0.01 UK, England, East Anglia 850 10.1 0.37 1.10 0.05 713 6.8 0.29 0.79 0.04 UK, England, Merseyside and Cheshire 808 9.6 0.35 1.06 0.04 748 6.8 0.28 0.78 0.03 UK, England, North Western 1198 8.4 0.25 0.93 0.03 1041 5.7 0.20 0.65 0.03 UK, England, Oxford Region 958 10.8 0.36 1.23 0.05 892 8.2 0.30 0.92 0.04*UK, England, South Thames 2712 11.2 0.23 1.23 0.03 2386 7.4 0.18 0.85 0.02*UK, England, South and Western Regions 3211 12.7 0.24 1.40 0.03 2804 8.4 0.19 0.95 0.02 UK, England, Trent 1674 9.4 0.24 1.01 0.03 1463 6.5 0.19 0.75 0.02*UK, England, West Midlands Region 1863 9.8 0.24 1.06 0.03 1519 6.3 0.18 0.69 0.02 UK, England, Yorkshire 1109 8.2 0.26 0.94 0.03 972 5.6 0.21 0.65 0.03 UK, Northern Ireland 609 12.0 0.50 1.30 0.06 574 8.6 0.39 1.04 0.05 UK, Scotland 1940 11.0 0.26 1.20 0.03 2007 8.3 0.21 0.93 0.03*Yugoslavia, Vojvodina 207 3.1 0.23 0.32 0.02 158 1.9 0.17 0.24 0.02

Oceania Australia, Capital Territory 97 12.8 1.33 1.41 0.19 89 10.5 1.15 1.36 0.18 Australia, New South Wales 2828 14.2 0.27 1.54 0.03 2370 10.0 0.22 1.12 0.03 Australia, Northern Territory 32 9.1 1.78 1.08 0.27 21 6.6 1.62 0.71 0.23 Australia, Queensland 1318 12.9 0.36 1.40 0.05 1072 8.9 0.29 1.00 0.04 Australia, South 703 14.2 0.56 1.51 0.07 664 11.4 0.48 1.29 0.06 Australia, Tasmania 200 12.7 0.93 1.39 0.12 186 10.5 0.84 1.21 0.11 Australia, Victoria 2157 15.0 0.33 1.62 0.04 1758 10.2 0.26 1.13 0.03 Australia, Western 599 11.5 0.48 1.28 0.06 528 9.0 0.42 0.99 0.05 New Zealand 1300 11.8 0.34 1.33 0.04 1155 8.6 0.28 0.98 0.04 USA, Hawaii: White 179 17.2 1.34 1.81 0.17 97 9.0 1.00 0.91 0.12 USA, Hawaii: Chinese 31 11.9 2.41 1.31 0.30 22 6.2 1.48 0.68 0.20 USA, Hawaii: Filipino 74 11.1 1.44 1.06 0.18 62 11.5 1.50 1.25 0.19 USA, Hawaii: Hawaiian 54 11.0 1.53 1.12 0.19 43 8.1 1.27 0.78 0.15 USA, Hawaii: Japanese 132 9.7 1.04 1.09 0.12 124 8.0 0.93 0.93 0.10

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rates and standard errorsImmunoproliferative diseases (C88)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers *France, La Reunion 0 - - - - 0 - - - - *The Gambia 0 - - - - 0 - - - - *Mali, Bamako 0 - - - - 0 - - - - *Uganda, Kyadondo County 0 - - - - 0 - - - - *Zimbabwe, Harare: African 0 - - - - 0 - - - -

America, Central and South*Argentina, Bahia Blanca 1 0.1 0.09 0.02 0.02 0 - - - - *Argentina, Concordia 0 - - - - 0 - - - - *Brazil, Campinas 0 - - - - 0 - - - - *Brazil, Goiania 1 0.0 0.04 0.00 0.00 0 - - - - Colombia, Cali 0 - - - - 0 - - - - *Costa Rica 0 - - - - 0 - - - - *Cuba, Villa Clara 0 - - - - 0 - - - - *Ecuador, Quito 0 - - - - 0 - - - - *France, Martinique 0 - - - - 0 - - - - *USA, Puerto Rico 1 0.0 0.03 0.00 0.00 0 - - - - *Uruguay, Montevideo 0 - - - - 0 - - - -

America, North Canada 203 0.2 0.01 0.02 0.00 112 0.1 0.01 0.01 0.00 Canada, Alberta 25 0.3 0.06 0.04 0.01 8 0.1 0.03 0.01 0.01 Canada, British Columbia 34 0.2 0.04 0.03 0.01 12 0.1 0.02 0.01 0.00 Canada, Manitoba 13 0.3 0.09 0.04 0.01 10 0.2 0.07 0.02 0.01 Canada, New Brunswick 10 0.4 0.12 0.06 0.02 0 - - - - Canada, Newfoundland 3 0.2 0.11 0.02 0.01 2 0.0 0.03 - - Canada, Northwest Territories 0 - - - - 0 - - - - Canada, Nova Scotia 4 0.1 0.07 0.02 0.01 4 0.1 0.07 0.02 0.01 Canada, Ontario 70 0.2 0.02 0.02 0.00 52 0.1 0.02 0.01 0.00 Canada, Prince Edward Island 0 - - - - 0 - - - - +Canada, Quebec 21 0.1 0.02 0.01 0.00 8 0.0 0.01 0.00 0.00 Canada, Saskatchewan 23 0.5 0.12 0.06 0.02 16 0.3 0.08 0.03 0.01 Canada, Yukon 0 - - - - 0 - - - - USA, California, Los Angeles: Non-Hispanic White 52 0.3 0.05 0.04 0.01 30 0.1 0.03 0.02 0.00 USA, California, Los Angeles: Hispanic White 5 0.2 0.07 0.02 0.01 4 0.1 0.04 0.01 0.01 USA, California, Los Angeles: Black 3 0.1 0.06 0.00 0.00 4 0.1 0.06 0.01 0.01 USA, California, Los Angeles: Chinese 2 0.2 0.17 0.01 0.01 1 0.1 0.10 0.02 0.02 USA, California, Los Angeles: Filipino 3 0.5 0.30 0.08 0.06 1 0.1 0.08 0.01 0.01 USA, California, Los Angeles: Japanese 1 0.2 0.20 0.03 0.03 1 0.2 0.18 0.01 0.01 USA, California, Los Angeles: Korean 0 - - - - 0 - - - - USA, California, San Francisco: Non-Hispanic White 30 0.4 0.07 0.05 0.01 20 0.2 0.05 0.02 0.01 USA, California, San Francisco: Hispanic White 2 0.2 0.17 0.03 0.02 0 - - - - USA, California, San Francisco: Black 3 0.3 0.19 0.04 0.02 0 - - - - USA, Connecticut: White 26 0.2 0.05 0.03 0.01 20 0.1 0.03 0.01 0.00 USA, Connecticut: Black 1 0.2 0.16 0.01 0.01 0 - - - - USA, Georgia, Atlanta: White 8 0.2 0.07 0.02 0.01 2 0.0 0.03 0.00 0.00 USA, Georgia, Atlanta: Black 2 0.2 0.12 0.02 0.01 1 0.0 0.03 0.00 0.00 USA, Iowa 31 0.2 0.05 0.03 0.01 33 0.2 0.05 0.03 0.01 USA, Louisiana, Central Region: White 1 0.2 0.16 0.03 0.03 0 - - - - USA, Louisiana, Central Region: Black 0 - - - - 0 - - - - USA, Louisiana, New Orleans: White 2 0.1 0.08 0.01 0.01 4 0.1 0.08 0.02 0.01 USA, Louisiana, New Orleans: Black 0 - - - - 1 0.1 0.10 0.02 0.02 USA, Michigan, Detroit: White 30 0.3 0.05 0.03 0.01 25 0.2 0.04 0.02 0.01 USA, Michigan, Detroit: Black 5 0.2 0.09 0.03 0.01 0 - - - - USA, New Jersey: White 52 0.2 0.03 0.02 0.00 35 0.1 0.02 0.01 0.00 USA, New Jersey: Black 2 0.1 0.06 0.01 0.01 2 0.0 0.03 0.00 0.00 USA, New Mexico: Non-Hispanic White 13 0.4 0.12 0.05 0.02 10 0.3 0.09 0.03 0.01 USA, New Mexico: Hispanic White 3 0.1 0.08 - - 1 0.0 0.04 - - USA, New Mexico: American Indian 2 0.6 0.43 0.02 0.02 0 - - - - USA, New York State: White 92 0.2 0.02 0.02 0.00 60 0.1 0.01 0.01 0.00 USA, New York State: Black 3 0.0 0.02 0.00 0.00 6 0.1 0.02 0.00 0.00 USA, Utah 9 0.2 0.05 0.02 0.01 3 0.0 0.03 0.00 0.00 USA, Washington, Seattle 40 0.3 0.05 0.04 0.01 26 0.2 0.04 0.02 0.01 USA, SEER: White 191 0.3 0.02 0.03 0.00 139 0.2 0.01 0.02 0.00 USA, SEER: Black 12 0.2 0.06 0.03 0.01 1 0.0 0.01 0.00 0.00

Asia*China, Beijing 0 - - - - 0 - - - -

+*China, Changle *China, Cixian *China, Hong Kong *China, Jiashan 0 - - - - 0 - - - -

+*China, Qidong County 0 - - - - 0 - - - - +*China, Shanghai 0 - - - - 0 - - - -

*China, Taiwan 1 0.0 0.01 0.00 0.00 0 - - - - *China, Tianjin 0 - - - - 0 - - - - +China, Wuhan 0 - - - - 0 - - - -

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rates and standard errorsImmunoproliferative diseases (C88) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 0 - - - - 0 - - - - *India, Bangalore 0 - - - - 0 - - - - India, Chennai (Madras) 0 - - - - 0 - - - - *India, Delhi 0 - - - - 0 - - - - *India, Karunagappally 0 - - - - 0 - - - - India, Mumbai (Bombay) 0 - - - - 0 - - - - *India, Nagpur 0 - - - - 0 - - - - *India, Poona 0 - - - - 0 - - - - *India, Trivandrum 0 - - - - 0 - - - - Israel: Jews 2 0.0 0.01 0.00 0.00 4 0.0 0.01 0.00 0.00 Israel: Jews born in Israel 0 - - - - 0 - - - - Israel: Jews born in Europe or America 2 0.0 0.01 0.00 0.00 2 0.0 0.01 0.00 0.00 Israel: Jews born in Africa or Asia 0 - - - - 2 0.0 0.03 0.00 0.00 Israel: Non-Jews 0 - - - - 1 0.0 0.03 0.00 0.00 Japan, Hiroshima 0 - - - - 1 0.0 0.01 - - *Japan, Miyagi Prefecture 0 - - - - 1 0.0 0.00 - - *Japan, Nagasaki Prefecture 0 - - - - 0 - - - - *Japan, Osaka Prefecture 15 0.0 0.01 0.01 0.00 4 0.0 0.00 0.00 0.00*Japan, Saga Prefecture 0 - - - - 0 - - - - *Japan, Yamagata Prefecture 3 0.0 0.02 0.01 0.01 1 0.0 0.01 - - *Korea, Busan 1 0.0 0.02 0.00 0.00 0 - - - - *Korea, Daegu 1 0.1 0.07 0.01 0.01 2 0.1 0.06 0.01 0.00*Korea, Kangwha County 0 - - - - 0 - - - - *Korea, Seoul 4 0.0 0.02 0.00 0.00 2 0.0 0.01 0.00 0.00*Kuwait: Kuwaitis 0 - - - - 0 - - - - *Kuwait: Non-Kuwaitis 1 0.0 0.02 0.00 0.00 0 - - - - *Oman: Omani 3 0.1 0.08 0.01 0.01 0 - - - - *Pakistan, South Karachi 0 - - - - 0 - - - - *Philippines, Manila 0 - - - - 0 - - - - *Philippines, Rizal 0 - - - - 0 - - - - Singapore: Chinese 0 - - - - 1 0.0 0.01 0.00 0.00 Singapore: Indian 0 - - - - 0 - - - - Singapore: Malay 0 - - - - 0 - - - - *Thailand, Bangkok 0 - - - - 0 - - - - *Thailand, Chiang Mai 0 - - - - 0 - - - - *Thailand, Khon Kaen 0 - - - - 0 - - - - *Thailand, Lampang 1 0.1 0.09 0.00 0.00 0 - - - - *Thailand, Songkhla 0 - - - - 0 - - - - *Viet Nam, Hanoi 0 - - - - 0 - - - - *Viet Nam, Ho Chi Minh City 0 - - - - 0 - - - -

Europe Austria, Tyrol 0 - - - - 0 - - - - Austria, Vorarlberg 1 0.1 0.10 0.02 0.02 0 - - - -

+*Belarus 0 - - - - 0 - - - - *Belgium, Flanders, (excl. Limburg) 19 0.2 0.04 0.01 0.01 12 0.1 0.05 0.01 0.00*Belgium, Limburg 2 0.2 0.13 0.03 0.02 5 0.3 0.13 0.01 0.01*Croatia 0 - - - - 0 - - - - Czech Republic 28 0.1 0.02 0.01 0.00 18 0.0 0.01 0.01 0.00 Denmark 123 0.5 0.05 0.07 0.01 71 0.2 0.03 0.03 0.00 Estonia 0 - - - - 0 - - - - Finland 0 - - - - 0 - - - - France, Bas-Rhin 20 0.6 0.14 0.06 0.02 9 0.2 0.06 0.02 0.01*France, Calvados 7 0.3 0.11 0.02 0.01 7 0.2 0.07 0.01 0.01 France, Cote d’Or 1 0.1 0.06 0.01 0.01 2 0.1 0.07 0.01 0.01 France, Doubs 10 0.5 0.17 0.02 0.01 7 0.3 0.12 0.02 0.01 France, Haut-Rhin 26 1.2 0.23 0.18 0.04 14 0.5 0.14 0.06 0.02*France, Herault 25 0.6 0.13 0.08 0.02 12 0.3 0.10 0.04 0.01 France, Isere 34 1.0 0.17 0.10 0.02 22 0.4 0.10 0.06 0.02*France, Manche 17 1.0 0.25 0.14 0.04 12 0.4 0.14 0.05 0.02*France, Somme 8 0.3 0.11 0.05 0.02 5 0.2 0.10 0.02 0.01 France, Tarn 13 0.6 0.18 0.04 0.02 6 0.3 0.12 0.04 0.02 Germany, Saarland 1 0.0 0.03 0.00 0.00 3 0.0 0.01 - - Iceland 6 0.7 0.29 0.09 0.05 6 0.6 0.27 0.08 0.04 Ireland 21 0.2 0.05 0.03 0.01 11 0.1 0.03 0.01 0.00 Italy, Biella Province 2 0.3 0.20 0.04 0.04 2 0.2 0.15 0.02 0.02 Italy, Ferrara Province 1 0.1 0.07 0.01 0.01 0 - - - - *Italy, Florence 0 - - - - 0 - - - - Italy, Genoa Province 6 0.1 0.05 0.01 0.01 4 0.0 0.02 0.01 0.01 Italy, Liguria Italy, Macerata Province 2 0.1 0.08 0.03 0.02 1 0.0 0.02 - - Italy, Modena Province 0 - - - - 0 - - - - Italy, North East 4 0.1 0.04 0.01 0.01 1 0.0 0.00 - -

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rates and standard errorsImmunoproliferative diseases (C88) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 0 - - - - 0 - - - - *Italy, Ragusa Province 0 - - - - 0 - - - - Italy, Romagna 0 - - - - 0 - - - - Italy, Sassari 5 0.3 0.12 0.03 0.02 5 0.2 0.08 0.02 0.01 Italy, Torino 3 0.1 0.05 0.01 0.00 2 0.0 0.02 0.00 0.00 Italy, Umbria 0 - - - - 0 - - - - Italy, Varese Province 0 - - - - 0 - - - - Italy, Venetian Region 0 - - - - 0 - - - - *Latvia 2 0.0 0.02 0.00 0.00 7 0.0 0.02 0.01 0.00 Lithuania 0 - - - - 0 - - - - Malta 1 0.1 0.09 - - 0 - - - - The Netherlands 275 0.5 0.03 0.05 0.00 186 0.2 0.02 0.02 0.00 The Netherlands, Eindhoven 10 0.3 0.09 0.04 0.02 8 0.2 0.06 0.03 0.01 The Netherlands, Maastricht 10 0.3 0.10 0.05 0.02 6 0.1 0.06 0.01 0.01 Norway 61 0.3 0.05 0.04 0.01 48 0.2 0.04 0.03 0.00*Poland, Cracow 0 - - - - 0 - - - - *Poland, Kielce 0 - - - - 0 - - - - *Poland, Lower Silesia 0 - - - - 0 - - - - Poland, Warsaw City 0 - - - - 0 - - - - *Portugal, Vila Nova de Gaia 0 - - - - 0 - - - - *Russia, St Petersburg 5 0.0 0.02 0.01 0.00 5 0.0 0.01 0.00 0.00 Slovakia 0 - - - - 0 - - - - Slovenia 1 0.0 0.02 0.00 0.00 0 - - - - Spain, Albacete 1 0.1 0.06 0.01 0.01 1 0.1 0.08 0.01 0.01 Spain, Asturias 0 - - - - 0 - - - - *Spain, Canary Islands 7 0.3 0.12 0.06 0.02 2 0.1 0.04 0.00 0.00 Spain, Cuenca 3 0.3 0.16 0.05 0.03 1 0.1 0.06 0.02 0.02 Spain, Girona 1 0.1 0.06 0.01 0.01 0 - - - - Spain, Granada 7 0.2 0.08 0.03 0.02 2 0.1 0.04 0.00 0.00 Spain, Mallorca 0 - - - - 0 - - - - Spain, Murcia 2 0.1 0.05 0.00 0.00 0 - - - - Spain, Navarra 4 0.2 0.08 0.02 0.01 1 0.0 0.01 - - Spain, Tarragona 0 - - - - 2 0.0 0.03 - - *Spain, Zaragoza 5 0.1 0.06 0.02 0.01 0 - - - - Sweden 107 0.2 0.02 0.03 0.00 56 0.1 0.02 0.01 0.00 Switzerland, Basel 0 - - - - 0 - - - - Switzerland, Geneva 0 - - - - 0 - - - - Switzerland, Graubunden and Glarus 1 0.1 0.15 0.01 0.01 4 0.2 0.08 - - Switzerland, Neuchatel 0 - - - - 0 - - - - Switzerland, St Gall-Appenzell 5 0.2 0.11 0.02 0.02 1 0.1 0.05 0.01 0.01*Switzerland, Ticino 1 0.1 0.13 - - 2 0.2 0.14 0.03 0.03 Switzerland, Valais 0 - - - - 0 - - - - Switzerland, Vaud 0 - - - - 0 - - - - Switzerland, Zurich 21 0.5 0.11 0.04 0.01 14 0.3 0.08 0.03 0.01*UK, England 257 0.1 0.01 0.01 0.00 151 0.1 0.00 0.01 0.00 UK, England, East Anglia 14 0.1 0.04 0.02 0.01 5 0.0 0.02 0.00 0.00 UK, England, Merseyside and Cheshire 7 0.1 0.03 0.01 0.00 2 0.0 0.01 0.00 0.00 UK, England, North Western 18 0.1 0.02 0.01 0.00 11 0.0 0.01 0.00 0.00 UK, England, Oxford Region 52 0.5 0.08 0.06 0.01 26 0.2 0.05 0.03 0.01*UK, England, South Thames 0 - - - - 0 - - - - *UK, England, South and Western Regions 69 0.2 0.03 0.02 0.00 50 0.1 0.02 0.01 0.00 UK, England, Trent 35 0.2 0.03 0.02 0.00 23 0.1 0.02 0.01 0.00*UK, England, West Midlands Region 21 0.1 0.02 0.01 0.00 10 0.0 0.01 0.00 0.00 UK, England, Yorkshire 2 0.0 0.01 0.00 0.00 1 0.0 0.00 0.00 0.00 UK, Northern Ireland 6 0.1 0.04 0.01 0.01 3 0.0 0.02 0.00 0.00 UK, Scotland 14 0.1 0.02 0.01 0.00 12 0.0 0.01 0.00 0.00*Yugoslavia, Vojvodina 1 0.0 0.01 0.00 0.00 0 - - - -

Oceania Australia, Capital Territory 0 - - - - 1 0.1 0.09 - - Australia, New South Wales 44 0.2 0.03 0.02 0.00 22 0.1 0.02 0.01 0.00 Australia, Northern Territory 0 - - - - 0 - - - - Australia, Queensland 3 0.0 0.01 0.00 0.00 0 - - - - Australia, South 20 0.3 0.07 0.04 0.01 18 0.3 0.08 0.04 0.01 Australia, Tasmania 4 0.2 0.09 0.01 0.01 4 0.2 0.10 0.02 0.01 Australia, Victoria 22 0.1 0.03 0.02 0.00 18 0.1 0.02 0.01 0.00 Australia, Western 13 0.3 0.07 0.03 0.01 7 0.1 0.05 0.01 0.01 New Zealand 0 - - - - 0 - - - - USA, Hawaii: White 4 0.5 0.24 0.05 0.03 1 0.1 0.09 0.02 0.02 USA, Hawaii: Chinese 1 0.2 0.15 - - 0 - - - - USA, Hawaii: Filipino 6 1.0 0.44 0.14 0.07 2 0.4 0.28 0.07 0.05 USA, Hawaii: Hawaiian 0 - - - - 0 - - - - USA, Hawaii: Japanese 2 0.1 0.07 0.01 0.01 2 0.1 0.04 - -

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rates and standard errorsMultiple myeloma (C90)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers *France, La Reunion 20 4.0 0.91 0.42 0.12 19 3.2 0.74 0.55 0.14*The Gambia 0 - - - - 0 - - - - *Mali, Bamako 0 - - - - 0 - - - - *Uganda, Kyadondo County 2 0.1 0.07 0.01 0.01 9 1.1 0.38 0.12 0.05*Zimbabwe, Harare: African 34 3.1 0.61 0.40 0.10 31 3.7 0.71 0.40 0.09

America, Central and South*Argentina, Bahia Blanca 31 3.0 0.55 0.33 0.07 29 2.1 0.40 0.26 0.06*Argentina, Concordia 2 0.6 0.42 - - 1 0.3 0.31 0.04 0.04*Brazil, Campinas 17 1.1 0.28 0.17 0.05 19 0.9 0.22 0.13 0.04*Brazil, Goiania 21 1.9 0.42 0.23 0.06 21 1.5 0.33 0.19 0.05 Colombia, Cali 39 1.4 0.23 0.18 0.04 35 1.1 0.19 0.15 0.03*Costa Rica 37 1.5 0.25 0.17 0.03 33 1.3 0.24 0.17 0.04*Cuba, Villa Clara 22 1.2 0.27 0.10 0.03 26 1.4 0.30 0.16 0.04*Ecuador, Quito 31 1.6 0.29 0.18 0.04 45 1.9 0.29 0.24 0.04*France, Martinique 26 2.3 0.47 0.28 0.07 25 1.7 0.36 0.26 0.06*USA, Puerto Rico 133 3.3 0.30 0.43 0.05 96 2.0 0.22 0.26 0.03*Uruguay, Montevideo 83 3.3 0.37 0.36 0.05 71 1.9 0.24 0.22 0.03

America, North Canada 3965 4.0 0.07 0.47 0.01 3395 2.7 0.05 0.31 0.01 Canada, Alberta 265 3.3 0.21 0.41 0.03 233 2.5 0.17 0.29 0.03 Canada, British Columbia 511 3.7 0.17 0.45 0.03 419 2.6 0.14 0.32 0.02 Canada, Manitoba 180 4.4 0.35 0.53 0.05 124 2.1 0.22 0.23 0.03 Canada, New Brunswick 102 4.1 0.42 0.52 0.06 80 2.6 0.32 0.31 0.05 Canada, Newfoundland 48 2.7 0.41 0.33 0.06 48 2.3 0.36 0.28 0.05 Canada, Northwest Territories 7 2.8 1.11 0.23 0.12 4 2.2 1.12 0.28 0.17 Canada, Nova Scotia 138 4.1 0.37 0.48 0.05 92 2.2 0.26 0.27 0.04 Canada, Ontario 1564 4.2 0.11 0.48 0.02 1347 2.8 0.08 0.33 0.01 Canada, Prince Edward Island 25 5.5 1.14 0.68 0.17 10 2.2 0.76 0.27 0.10+Canada, Quebec 1002 4.2 0.14 0.47 0.02 922 2.8 0.10 0.31 0.01 Canada, Saskatchewan 127 3.4 0.32 0.40 0.05 115 2.5 0.26 0.31 0.04 Canada, Yukon 5 2.8 1.34 0.45 0.26 6 4.5 1.87 0.67 0.31 USA, California, Los Angeles: Non-Hispanic White 580 3.9 0.17 0.45 0.02 516 2.6 0.14 0.32 0.02 USA, California, Los Angeles: Hispanic White 199 5.6 0.41 0.64 0.06 156 3.3 0.27 0.39 0.04 USA, California, Los Angeles: Black 166 7.1 0.56 0.89 0.08 221 6.4 0.45 0.77 0.07 USA, California, Los Angeles: Chinese 15 1.7 0.45 0.18 0.06 7 0.7 0.29 0.10 0.04 USA, California, Los Angeles: Filipino 23 3.3 0.72 0.31 0.10 20 2.3 0.54 0.32 0.09 USA, California, Los Angeles: Japanese 16 2.9 0.77 0.30 0.10 5 0.8 0.38 0.03 0.02 USA, California, Los Angeles: Korean 7 2.0 0.75 0.28 0.11 9 1.7 0.57 0.20 0.07 USA, California, San Francisco: Non-Hispanic White 328 4.0 0.23 0.45 0.03 264 2.5 0.18 0.30 0.03 USA, California, San Francisco: Hispanic White 44 4.2 0.66 0.53 0.10 31 2.1 0.41 0.22 0.06 USA, California, San Francisco: Black 88 7.4 0.81 0.90 0.12 114 7.0 0.68 0.88 0.10 USA, Connecticut: White 407 3.6 0.19 0.44 0.03 370 2.3 0.14 0.27 0.02 USA, Connecticut: Black 53 9.6 1.33 1.08 0.18 49 6.1 0.91 0.74 0.13 USA, Georgia, Atlanta: White 162 4.0 0.32 0.52 0.05 129 2.3 0.22 0.28 0.03 USA, Georgia, Atlanta: Black 101 8.0 0.83 0.91 0.13 105 5.6 0.57 0.70 0.09 USA, Iowa 419 3.8 0.20 0.45 0.03 443 2.8 0.16 0.32 0.02 USA, Louisiana, Central Region: White 36 4.9 0.85 0.60 0.12 27 2.1 0.46 0.23 0.07 USA, Louisiana, Central Region: Black 16 8.7 2.27 1.20 0.37 13 5.2 1.57 0.57 0.21 USA, Louisiana, New Orleans: White 70 3.2 0.39 0.36 0.05 78 2.4 0.30 0.27 0.04 USA, Louisiana, New Orleans: Black 69 8.8 1.08 1.18 0.17 59 4.7 0.64 0.54 0.10 USA, Michigan, Detroit: White 407 3.8 0.20 0.45 0.03 415 2.8 0.15 0.34 0.02 USA, Michigan, Detroit: Black 234 9.6 0.65 1.20 0.09 248 7.1 0.48 0.86 0.07 USA, New Jersey: White 893 3.6 0.13 0.43 0.02 835 2.5 0.10 0.30 0.01 USA, New Jersey: Black 196 7.9 0.57 0.93 0.08 224 6.1 0.42 0.71 0.06 USA, New Mexico: Non-Hispanic White 125 3.8 0.36 0.48 0.05 108 2.5 0.27 0.32 0.04 USA, New Mexico: Hispanic White 60 3.9 0.51 0.46 0.08 45 2.5 0.38 0.32 0.06 USA, New Mexico: American Indian 9 4.0 1.36 0.51 0.21 8 2.1 0.77 0.19 0.11 USA, New York State: White 1950 3.7 0.09 0.44 0.01 1913 2.6 0.07 0.30 0.01 USA, New York State: Black 460 6.7 0.32 0.80 0.05 558 5.2 0.23 0.62 0.03 USA, Utah 206 4.0 0.29 0.48 0.04 133 2.3 0.21 0.28 0.03 USA, Washington, Seattle 531 4.5 0.20 0.52 0.03 439 2.9 0.15 0.35 0.02 USA, SEER: White 2648 3.9 0.08 0.46 0.01 2329 2.5 0.06 0.30 0.01 USA, SEER: Black 517 8.8 0.40 1.08 0.06 552 6.8 0.30 0.84 0.04

Asia*China, Beijing 67 0.8 0.10 0.10 0.01 47 0.6 0.09 0.09 0.01

+*China, Changle *China, Cixian *China, Hong Kong *China, Jiashan 6 0.5 0.22 0.09 0.04 2 0.2 0.11 0.03 0.02

+*China, Qidong County 53 1.8 0.24 0.23 0.04 40 1.2 0.19 0.17 0.03+*China, Shanghai 199 0.8 0.06 0.10 0.01 145 0.6 0.05 0.08 0.01

*China, Taiwan 143 1.2 0.10 0.15 0.01 100 0.9 0.10 0.12 0.01*China, Tianjin 18 0.2 0.04 0.02 0.01 19 0.2 0.04 0.02 0.01+China, Wuhan 61 0.6 0.08 0.07 0.01 51 0.5 0.07 0.06 0.01

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsMultiple myeloma (C90) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 39 0.7 0.11 0.09 0.02 31 0.6 0.11 0.07 0.01*India, Bangalore 80 1.0 0.12 0.14 0.02 48 0.7 0.11 0.10 0.02 India, Chennai (Madras) 74 1.0 0.12 0.12 0.02 38 0.5 0.09 0.06 0.01*India, Delhi 215 1.9 0.13 0.25 0.02 110 1.1 0.11 0.15 0.02*India, Karunagappally 12 1.4 0.41 0.18 0.06 8 0.9 0.31 0.11 0.04 India, Mumbai (Bombay) 186 1.2 0.09 0.16 0.02 153 1.1 0.09 0.15 0.01*India, Nagpur 23 1.3 0.28 0.16 0.04 18 1.1 0.27 0.15 0.04*India, Poona 41 1.0 0.17 0.13 0.02 27 0.7 0.14 0.10 0.02*India, Trivandrum 25 1.1 0.22 0.14 0.04 25 1.0 0.20 0.15 0.03 Israel: Jews 439 3.3 0.16 0.37 0.02 420 2.5 0.13 0.28 0.02 Israel: Jews born in Israel 59 2.7 0.41 0.33 0.06 51 2.4 0.39 0.25 0.05 Israel: Jews born in Europe or America 251 3.2 0.24 0.38 0.03 236 2.1 0.17 0.25 0.02 Israel: Jews born in Africa or Asia 129 3.3 0.30 0.34 0.04 133 2.9 0.26 0.32 0.03 Israel: Non-Jews 32 2.7 0.48 0.34 0.07 26 1.9 0.37 0.25 0.06 Japan, Hiroshima 76 2.1 0.24 0.23 0.04 54 1.1 0.15 0.12 0.02*Japan, Miyagi Prefecture 160 1.7 0.14 0.20 0.02 159 1.3 0.11 0.15 0.02*Japan, Nagasaki Prefecture 110 1.6 0.16 0.17 0.02 109 1.0 0.11 0.13 0.02*Japan, Osaka Prefecture 467 1.5 0.07 0.16 0.01 413 1.0 0.05 0.11 0.01*Japan, Saga Prefecture 61 1.6 0.21 0.22 0.03 65 1.0 0.14 0.13 0.02*Japan, Yamagata Prefecture 97 1.6 0.17 0.19 0.02 100 1.1 0.12 0.12 0.02*Korea, Busan 27 0.9 0.19 0.13 0.03 26 0.7 0.14 0.10 0.02*Korea, Daegu 26 1.4 0.29 0.23 0.05 17 0.7 0.17 0.07 0.02*Korea, Kangwha County 1 0.5 0.49 0.08 0.08 2 0.7 0.48 0.10 0.07*Korea, Seoul 207 1.2 0.09 0.16 0.01 167 0.7 0.06 0.09 0.01*Kuwait: Kuwaitis 13 2.4 0.67 0.37 0.12 5 0.8 0.36 0.11 0.06*Kuwait: Non-Kuwaitis 11 2.1 1.17 0.21 0.13 5 0.5 0.25 0.05 0.02*Oman: Omani 48 2.5 0.37 0.30 0.05 23 1.4 0.29 0.15 0.04*Pakistan, South Karachi 14 0.9 0.25 0.10 0.04 8 0.6 0.23 0.08 0.04*Philippines, Manila 57 1.0 0.14 0.12 0.02 76 1.1 0.13 0.14 0.02*Philippines, Rizal 40 0.7 0.12 0.09 0.02 58 0.9 0.12 0.12 0.02 Singapore: Chinese 56 1.1 0.15 0.12 0.02 61 0.9 0.12 0.11 0.02 Singapore: Indian 8 1.3 0.45 0.10 0.04 8 1.9 0.69 0.28 0.11 Singapore: Malay 20 2.4 0.54 0.29 0.07 11 1.5 0.46 0.17 0.06*Thailand, Bangkok 36 0.6 0.10 0.07 0.01 33 0.5 0.08 0.06 0.01*Thailand, Chiang Mai 13 0.4 0.10 0.06 0.02 13 0.4 0.11 0.05 0.01*Thailand, Khon Kaen 15 0.5 0.13 0.06 0.02 11 0.3 0.08 0.03 0.01*Thailand, Lampang 7 0.4 0.14 0.05 0.02 2 0.1 0.07 0.01 0.01*Thailand, Songkhla 13 0.7 0.20 0.09 0.03 8 0.4 0.15 0.06 0.02*Viet Nam, Hanoi 6 0.1 0.05 - - 3 0.1 0.03 - - *Viet Nam, Ho Chi Minh City 10 0.2 0.06 0.03 0.01 22 0.3 0.06 0.03 0.01

Europe Austria, Tyrol 53 2.4 0.34 0.33 0.06 73 2.3 0.30 0.28 0.04 Austria, Vorarlberg 28 2.7 0.52 0.38 0.08 42 2.9 0.48 0.34 0.07

+*Belarus 386 1.4 0.07 0.18 0.01 481 1.1 0.05 0.14 0.01*Belgium, Flanders, (excl. Limburg) 307 3.4 0.20 0.41 0.03 312 2.8 0.18 0.33 0.02*Belgium, Limburg 49 4.3 0.62 0.46 0.08 39 2.9 0.49 0.36 0.07*Croatia 331 2.1 0.12 0.27 0.02 347 1.6 0.09 0.21 0.01 Czech Republic 684 2.0 0.08 0.25 0.01 617 1.3 0.05 0.16 0.01 Denmark 693 3.3 0.13 0.41 0.02 587 2.1 0.10 0.26 0.01 Estonia 73 1.7 0.20 0.22 0.03 84 1.1 0.13 0.16 0.02 Finland 536 2.9 0.13 0.31 0.02 707 2.5 0.11 0.31 0.02 France, Bas-Rhin 101 3.2 0.32 0.43 0.05 76 1.7 0.21 0.21 0.03*France, Calvados 60 2.8 0.37 0.33 0.05 49 1.7 0.27 0.22 0.04 France, Cote d’Or 74 3.9 0.47 0.42 0.06 75 2.9 0.39 0.34 0.05 France, Doubs 69 3.9 0.48 0.46 0.07 79 3.2 0.40 0.38 0.06 France, Haut-Rhin 90 3.8 0.41 0.42 0.06 103 3.3 0.35 0.37 0.05*France, Herault 87 2.4 0.28 0.30 0.04 68 1.6 0.21 0.20 0.03 France, Isere 124 3.6 0.33 0.40 0.04 113 2.3 0.23 0.27 0.03*France, Manche 53 3.3 0.48 0.42 0.07 53 2.0 0.33 0.22 0.05*France, Somme 46 2.3 0.36 0.27 0.05 52 2.0 0.31 0.21 0.04 France, Tarn 50 3.0 0.45 0.38 0.06 51 2.1 0.34 0.27 0.05 Germany, Saarland 127 3.0 0.27 0.32 0.03 157 2.5 0.22 0.31 0.03 Iceland 28 3.4 0.66 0.44 0.10 31 3.3 0.65 0.40 0.09 Ireland 390 4.2 0.22 0.50 0.03 319 2.7 0.17 0.33 0.02 Italy, Biella Province 22 3.9 0.88 0.50 0.13 24 2.4 0.59 0.25 0.08 Italy, Ferrara Province 83 4.4 0.51 0.41 0.06 81 2.9 0.36 0.37 0.05*Italy, Florence 285 4.6 0.29 0.53 0.04 291 3.7 0.25 0.42 0.03 Italy, Genoa Province 185 4.8 0.37 0.54 0.05 185 3.2 0.28 0.37 0.04 Italy, Liguria Italy, Macerata Province 48 3.3 0.50 0.39 0.07 50 2.6 0.42 0.35 0.06 Italy, Modena Province 148 4.9 0.42 0.55 0.06 138 3.2 0.32 0.40 0.05 Italy, North East 217 3.8 0.27 0.47 0.04 225 2.7 0.21 0.34 0.03

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rates and standard errorsMultiple myeloma (C90) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 125 6.2 0.60 0.70 0.08 100 3.2 0.39 0.36 0.05*Italy, Ragusa Province 38 3.1 0.54 0.31 0.07 35 2.0 0.37 0.23 0.05 Italy, Romagna 238 4.7 0.32 0.52 0.04 226 3.4 0.26 0.39 0.04 Italy, Sassari 48 2.7 0.40 0.35 0.06 48 2.1 0.33 0.29 0.05 Italy, Torino 162 3.7 0.30 0.41 0.04 170 2.6 0.22 0.30 0.03 Italy, Umbria 93 3.5 0.39 0.36 0.05 90 2.7 0.33 0.32 0.04 Italy, Varese Province 130 3.8 0.34 0.42 0.05 135 2.6 0.25 0.30 0.04 Italy, Venetian Region 272 4.3 0.27 0.51 0.04 304 3.4 0.22 0.41 0.03*Latvia 128 1.7 0.16 0.23 0.02 183 1.5 0.12 0.20 0.02 Lithuania 219 2.1 0.14 0.27 0.02 286 1.8 0.11 0.23 0.02 Malta 41 3.4 0.55 0.41 0.08 44 2.7 0.43 0.30 0.06 The Netherlands 1978 3.6 0.08 0.44 0.01 1824 2.4 0.06 0.30 0.01 The Netherlands, Eindhoven 132 4.1 0.36 0.53 0.05 97 2.4 0.26 0.32 0.04 The Netherlands, Maastricht 105 3.3 0.33 0.41 0.05 90 2.3 0.25 0.28 0.03 Norway 657 3.5 0.15 0.39 0.02 545 2.1 0.11 0.24 0.02*Poland, Cracow 50 2.2 0.32 0.28 0.04 41 1.2 0.20 0.15 0.03*Poland, Kielce 55 2.0 0.27 0.27 0.04 58 1.5 0.21 0.21 0.03*Poland, Lower Silesia 195 2.3 0.17 0.29 0.02 186 1.6 0.12 0.21 0.02 Poland, Warsaw City 149 2.6 0.22 0.33 0.03 147 1.6 0.14 0.21 0.02*Portugal, Vila Nova de Gaia 21 2.7 0.60 0.38 0.10 17 1.6 0.40 0.18 0.05*Russia, St Petersburg 136 1.2 0.11 0.16 0.02 254 1.3 0.09 0.18 0.01 Slovakia 370 2.4 0.13 0.31 0.02 460 2.2 0.11 0.27 0.01 Slovenia 136 2.2 0.19 0.24 0.03 164 1.8 0.15 0.23 0.02 Spain, Albacete 60 3.6 0.50 0.41 0.07 65 3.9 0.54 0.47 0.07 Spain, Asturias 123 3.2 0.34 0.38 0.04 94 1.7 0.20 0.18 0.03*Spain, Canary Islands 64 2.7 0.34 0.36 0.05 66 2.3 0.29 0.31 0.05 Spain, Cuenca 36 2.9 0.53 0.38 0.08 26 1.8 0.42 0.21 0.06 Spain, Girona 33 2.5 0.46 0.27 0.06 35 2.1 0.39 0.23 0.05 Spain, Granada 82 2.7 0.31 0.30 0.04 76 1.9 0.23 0.27 0.04 Spain, Mallorca 57 3.1 0.42 0.43 0.07 45 1.8 0.29 0.22 0.04 Spain, Murcia 93 3.1 0.33 0.38 0.05 81 2.3 0.27 0.26 0.04 Spain, Navarra 70 3.0 0.38 0.35 0.05 71 2.1 0.29 0.24 0.04 Spain, Tarragona 56 2.2 0.30 0.30 0.05 56 1.9 0.28 0.27 0.04*Spain, Zaragoza 103 2.8 0.29 0.29 0.04 82 1.7 0.21 0.19 0.03 Sweden 1468 3.6 0.10 0.42 0.01 1260 2.4 0.08 0.29 0.01 Switzerland, Basel 82 4.4 0.50 0.53 0.07 53 2.0 0.30 0.27 0.05 Switzerland, Geneva 53 3.1 0.44 0.36 0.07 36 1.6 0.29 0.20 0.05 Switzerland, Graubunden and Glarus 42 4.9 0.80 0.51 0.10 22 2.2 0.52 0.25 0.07 Switzerland, Neuchatel 6 1.1 0.45 0.14 0.07 9 1.0 0.35 0.15 0.07 Switzerland, St Gall-Appenzell 79 4.2 0.49 0.46 0.07 74 3.0 0.39 0.36 0.06*Switzerland, Ticino 16 3.3 0.83 0.44 0.13 23 2.5 0.60 0.24 0.08 Switzerland, Valais 28 3.0 0.58 0.39 0.09 36 2.7 0.50 0.29 0.07 Switzerland, Vaud 74 4.1 0.49 0.53 0.07 80 3.1 0.39 0.34 0.05 Switzerland, Zurich 164 4.4 0.36 0.49 0.05 145 2.7 0.25 0.35 0.04*UK, England 6832 3.4 0.04 0.40 0.01 6523 2.3 0.03 0.27 0.00 UK, England, East Anglia 350 3.6 0.21 0.41 0.03 290 2.2 0.16 0.25 0.02 UK, England, Merseyside and Cheshire 263 2.7 0.17 0.33 0.03 279 2.0 0.14 0.24 0.02 UK, England, North Western 598 3.8 0.16 0.44 0.02 554 2.5 0.12 0.31 0.02 UK, England, Oxford Region 418 4.3 0.22 0.48 0.03 362 2.9 0.17 0.34 0.02*UK, England, South Thames 980 3.6 0.12 0.43 0.02 879 2.2 0.09 0.26 0.01*UK, England, South and Western Regions 1253 4.1 0.12 0.47 0.02 1220 2.9 0.10 0.36 0.01 UK, England, Trent 709 3.5 0.14 0.40 0.02 675 2.5 0.11 0.29 0.02*UK, England, West Midlands Region 741 3.3 0.13 0.38 0.02 695 2.4 0.10 0.28 0.01 UK, England, Yorkshire 490 3.3 0.16 0.40 0.02 518 2.5 0.12 0.30 0.02 UK, Northern Ireland 248 4.5 0.30 0.53 0.04 219 2.8 0.21 0.33 0.03 UK, Scotland 734 3.7 0.14 0.41 0.02 761 2.6 0.11 0.31 0.02*Yugoslavia, Vojvodina 84 1.1 0.13 0.15 0.02 76 0.8 0.10 0.11 0.01

Oceania Australia, Capital Territory 33 4.9 0.87 0.55 0.12 18 1.9 0.45 0.19 0.07 Australia, New South Wales 868 4.1 0.14 0.50 0.02 666 2.5 0.11 0.30 0.02 Australia, Northern Territory 5 2.1 0.97 0.28 0.16 6 2.4 1.04 0.19 0.12 Australia, Queensland 390 3.4 0.18 0.39 0.02 301 2.3 0.15 0.25 0.02 Australia, South 210 4.0 0.29 0.46 0.04 221 3.2 0.24 0.39 0.03 Australia, Tasmania 75 4.3 0.52 0.47 0.07 55 2.8 0.41 0.31 0.05 Australia, Victoria 578 3.7 0.16 0.41 0.02 473 2.5 0.12 0.30 0.02 Australia, Western 178 3.3 0.25 0.37 0.04 147 2.4 0.21 0.30 0.03 New Zealand 503 4.2 0.19 0.49 0.03 458 3.0 0.16 0.35 0.02 USA, Hawaii: White 39 3.9 0.65 0.41 0.09 18 1.4 0.35 0.15 0.05 USA, Hawaii: Chinese 4 1.3 0.67 0.21 0.12 6 1.9 0.82 0.24 0.12 USA, Hawaii: Filipino 20 3.2 0.77 0.41 0.12 19 3.2 0.76 0.36 0.10 USA, Hawaii: Hawaiian 21 4.7 1.05 0.59 0.15 19 3.8 0.90 0.51 0.14 USA, Hawaii: Japanese 21 1.3 0.32 0.15 0.04 18 0.8 0.21 0.10 0.03

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rates and standard errorsAll leukaemias (C91-95)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 111 2.4 0.24 0.23 0.03 69 1.5 0.18 0.11 0.02*France, La Reunion 30 5.7 1.06 0.61 0.15 18 2.8 0.67 0.28 0.09*The Gambia 4 0.3 0.17 3 0.4 0.26 *Mali, Bamako 12 1.3 0.44 0.10 0.04 12 2.6 0.80 0.25 0.09*Uganda, Kyadondo County 23 0.9 0.20 0.06 0.02 24 1.6 0.42 0.13 0.04*Zimbabwe, Harare: African 78 3.1 0.48 0.33 0.08 61 3.3 0.61 0.42 0.12

America, Central and South*Argentina, Bahia Blanca 91 8.7 0.93 0.85 0.11 87 5.9 0.69 0.57 0.08*Argentina, Concordia 18 5.3 1.25 0.38 0.12 17 4.4 1.08 0.36 0.11*Brazil, Campinas 89 5.1 0.56 0.42 0.06 62 3.1 0.40 0.25 0.04*Brazil, Goiania 82 5.2 0.61 0.46 0.08 67 4.1 0.51 0.37 0.06 Colombia, Cali 283 8.6 0.53 0.81 0.07 275 7.3 0.46 0.65 0.06*Costa Rica 249 8.2 0.55 0.76 0.07 198 6.4 0.47 0.61 0.06*Cuba, Villa Clara 91 6.6 0.75 0.61 0.08 43 2.9 0.49 0.29 0.06*Ecuador, Quito 203 7.6 0.57 0.69 0.07 190 5.6 0.43 0.46 0.05*France, Martinique 46 4.6 0.70 0.45 0.08 39 2.9 0.51 0.30 0.06*USA, Puerto Rico 219 5.6 0.40 0.52 0.05 174 4.1 0.34 0.36 0.04*Uruguay, Montevideo 166 7.1 0.58 0.71 0.07 146 4.5 0.43 0.41 0.04

America, North Canada 9529 10.7 0.12 1.07 0.01 7077 6.9 0.09 0.64 0.01 Canada, Alberta 818 10.9 0.39 1.16 0.05 550 6.7 0.31 0.67 0.04 Canada, British Columbia 1056 8.9 0.30 0.85 0.03 720 5.7 0.25 0.52 0.02 Canada, Manitoba 370 9.9 0.55 1.01 0.07 277 6.6 0.46 0.63 0.05 Canada, New Brunswick 226 10.0 0.72 0.96 0.08 165 6.1 0.56 0.56 0.06 Canada, Newfoundland 92 6.2 0.69 0.60 0.07 82 5.5 0.67 0.53 0.07 Canada, Northwest Territories 20 5.5 1.31 0.38 0.11 13 3.9 1.25 0.40 0.21 Canada, Nova Scotia 243 8.7 0.60 0.82 0.07 208 6.6 0.55 0.55 0.05 Canada, Ontario 3815 11.4 0.19 1.13 0.02 2914 7.4 0.16 0.68 0.02 Canada, Prince Edward Island 31 7.4 1.38 0.81 0.18 27 5.7 1.21 0.63 0.15+Canada, Quebec 2399 11.2 0.24 1.10 0.03 1838 6.9 0.19 0.66 0.02 Canada, Saskatchewan 462 13.4 0.68 1.40 0.08 291 7.6 0.52 0.76 0.06 Canada, Yukon 24 13.5 2.88 1.67 0.45 5 3.1 1.47 0.24 0.13 USA, California, Los Angeles: Non-Hispanic White 1533 11.8 0.35 1.13 0.04 1187 7.9 0.30 0.74 0.03 USA, California, Los Angeles: Hispanic White 632 11.1 0.50 1.06 0.07 433 6.9 0.35 0.58 0.04 USA, California, Los Angeles: Black 196 8.3 0.61 0.81 0.07 198 6.0 0.46 0.58 0.05 USA, California, Los Angeles: Chinese 50 6.5 0.97 0.59 0.10 34 3.7 0.68 0.37 0.08 USA, California, Los Angeles: Filipino 54 8.5 1.22 0.87 0.16 44 5.6 0.90 0.50 0.10 USA, California, Los Angeles: Japanese 34 6.9 1.36 0.49 0.12 20 5.0 1.32 0.44 0.11 USA, California, Los Angeles: Korean 16 3.9 1.00 0.31 0.11 20 4.5 1.07 0.39 0.10 USA, California, San Francisco: Non-Hispanic White 788 11.0 0.45 1.08 0.05 580 6.8 0.36 0.63 0.04 USA, California, San Francisco: Hispanic White 96 7.6 0.81 0.63 0.10 83 6.3 0.72 0.63 0.09 USA, California, San Francisco: Black 96 8.1 0.85 0.89 0.11 71 5.0 0.64 0.48 0.07 USA, Connecticut: White 1040 10.7 0.36 1.13 0.04 837 6.8 0.29 0.66 0.03 USA, Connecticut: Black 49 8.0 1.16 0.80 0.15 52 6.7 0.96 0.63 0.11 USA, Georgia, Atlanta: White 394 10.2 0.54 1.05 0.07 313 6.0 0.39 0.61 0.05 USA, Georgia, Atlanta: Black 116 7.5 0.74 0.74 0.10 87 3.9 0.44 0.38 0.06 USA, Iowa 1280 12.9 0.40 1.34 0.05 978 7.6 0.31 0.74 0.03 USA, Louisiana, Central Region: White 65 9.3 1.22 0.92 0.15 58 6.3 1.01 0.54 0.10 USA, Louisiana, Central Region: Black 18 10.0 2.46 1.00 0.31 11 4.4 1.47 0.42 0.17 USA, Louisiana, New Orleans: White 190 10.0 0.80 1.01 0.09 157 6.6 0.67 0.60 0.06 USA, Louisiana, New Orleans: Black 51 6.4 0.90 0.80 0.14 53 4.7 0.67 0.45 0.08 USA, Michigan, Detroit: White 1092 11.5 0.37 1.17 0.04 934 7.6 0.30 0.76 0.03 USA, Michigan, Detroit: Black 223 9.2 0.63 1.05 0.08 192 5.8 0.45 0.61 0.05 USA, New Jersey: White 2371 11.2 0.25 1.11 0.03 1935 7.0 0.20 0.65 0.02 USA, New Jersey: Black 205 8.0 0.57 0.83 0.07 189 5.5 0.42 0.54 0.05 USA, New Mexico: Non-Hispanic White 324 10.3 0.63 1.11 0.08 224 6.4 0.52 0.62 0.05 USA, New Mexico: Hispanic White 120 7.6 0.71 0.74 0.09 117 6.7 0.65 0.57 0.07 USA, New Mexico: American Indian 17 5.1 1.37 0.42 0.14 12 3.3 0.99 0.34 0.13 USA, New York State: White 5097 10.9 0.17 1.09 0.02 4266 7.0 0.13 0.66 0.01 USA, New York State: Black 529 7.6 0.33 0.79 0.04 503 5.0 0.23 0.47 0.03 USA, Utah 503 10.0 0.46 1.01 0.06 321 5.4 0.33 0.51 0.04 USA, Washington, Seattle 1313 12.0 0.35 1.23 0.04 971 7.6 0.28 0.72 0.03 USA, SEER: White 6907 11.2 0.14 1.14 0.02 5307 7.0 0.11 0.67 0.01 USA, SEER: Black 541 8.8 0.39 0.95 0.05 434 5.3 0.27 0.54 0.03

Asia*China, Beijing 296 4.4 0.28 0.38 0.03 198 2.9 0.23 0.27 0.02

+*China, Changle *China, Cixian *China, Hong Kong 944 5.7 0.20 0.51 0.02 762 4.6 0.18 0.39 0.02*China, Jiashan 48 5.4 0.85 0.43 0.07 32 3.0 0.57 0.29 0.06

+*China, Qidong County 140 4.8 0.42 0.45 0.04 109 3.5 0.35 0.32 0.03+*China, Shanghai 929 5.0 0.20 0.44 0.02 685 3.6 0.17 0.34 0.01

*China, Taiwan 553 4.9 0.22 0.43 0.02 411 3.9 0.20 0.32 0.02*China, Tianjin 570 6.0 0.28 0.56 0.03 404 4.3 0.26 0.37 0.02+China, Wuhan 352 3.7 0.22 0.34 0.02 260 2.6 0.18 0.23 0.02

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsAll leukaemias (C91-95) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 285 3.1 0.19 0.25 0.02 194 2.5 0.19 0.22 0.02*India, Bangalore 343 3.1 0.18 0.26 0.02 243 2.6 0.18 0.25 0.02 India, Chennai (Madras) 353 3.9 0.21 0.31 0.02 232 2.7 0.19 0.24 0.02*India, Delhi 840 4.5 0.17 0.39 0.02 493 3.1 0.15 0.28 0.02*India, Karunagappally 32 3.6 0.66 0.29 0.07 17 1.8 0.44 0.15 0.04 India, Mumbai (Bombay) 1053 4.4 0.15 0.39 0.02 668 3.5 0.14 0.33 0.02*India, Nagpur 124 5.0 0.48 0.41 0.05 64 2.8 0.37 0.23 0.04*India, Poona 205 3.7 0.28 0.34 0.04 123 2.3 0.22 0.23 0.03*India, Trivandrum 94 3.7 0.39 0.28 0.04 80 3.0 0.34 0.27 0.04 Israel: Jews 1195 9.3 0.28 0.94 0.03 995 6.3 0.22 0.63 0.03 Israel: Jews born in Israel 329 9.0 0.71 0.89 0.09 208 5.7 0.55 0.60 0.08 Israel: Jews born in Europe or America 612 10.9 0.83 1.07 0.06 560 7.6 0.71 0.73 0.05 Israel: Jews born in Africa or Asia 254 11.1 2.45 0.95 0.12 227 6.4 0.70 0.61 0.06 Israel: Non-Jews 136 7.8 0.75 0.84 0.12 124 6.4 0.62 0.61 0.08 Japan, Hiroshima 194 6.3 0.48 0.63 0.06 142 4.2 0.41 0.36 0.04*Japan, Miyagi Prefecture 405 5.7 0.32 0.52 0.03 296 3.8 0.27 0.33 0.02*Japan, Nagasaki Prefecture 518 9.4 0.46 0.96 0.05 419 6.2 0.38 0.59 0.03*Japan, Osaka Prefecture 1477 6.0 0.17 0.53 0.02 1082 4.1 0.15 0.35 0.01*Japan, Saga Prefecture 214 6.9 0.53 0.72 0.06 189 5.3 0.45 0.49 0.04*Japan, Yamagata Prefecture 216 4.6 0.37 0.42 0.03 171 3.8 0.38 0.35 0.03*Korea, Busan 138 4.0 0.36 0.35 0.04 91 2.3 0.26 0.20 0.02*Korea, Daegu 99 4.3 0.46 0.37 0.05 102 4.3 0.45 0.33 0.04*Korea, Kangwha County 11 5.4 1.67 0.49 0.15 14 7.3 2.28 0.57 0.16*Korea, Seoul 1475 6.6 0.19 0.61 0.02 1221 5.1 0.15 0.45 0.02*Kuwait: Kuwaitis 57 5.5 0.84 0.57 0.12 52 5.2 0.82 0.56 0.12*Kuwait: Non-Kuwaitis 105 8.1 1.68 0.48 0.10 45 7.0 1.55 0.71 0.22*Oman: Omani 147 4.4 0.43 0.44 0.06 94 3.0 0.37 0.30 0.05*Pakistan, South Karachi 76 3.6 0.47 0.36 0.06 73 4.0 0.53 0.36 0.06*Philippines, Manila 679 6.9 0.31 0.61 0.04 594 5.6 0.25 0.50 0.03*Philippines, Rizal 602 5.6 0.27 0.50 0.04 529 4.9 0.24 0.46 0.03 Singapore: Chinese 324 6.2 0.36 0.57 0.04 244 4.2 0.29 0.37 0.03 Singapore: Indian 28 4.8 0.96 0.43 0.10 11 2.6 0.86 0.16 0.06 Singapore: Malay 64 7.1 0.91 0.69 0.11 45 5.2 0.80 0.44 0.08*Thailand, Bangkok 272 3.9 0.25 0.33 0.03 224 2.9 0.21 0.25 0.02*Thailand, Chiang Mai 154 4.5 0.38 0.37 0.04 118 3.4 0.32 0.30 0.03*Thailand, Khon Kaen 158 4.2 0.34 0.34 0.03 153 4.0 0.33 0.31 0.03*Thailand, Lampang 105 5.3 0.55 0.43 0.05 68 3.4 0.43 0.27 0.04*Thailand, Songkhla 73 3.4 0.40 0.28 0.04 71 3.4 0.41 0.29 0.04*Viet Nam, Hanoi 227 4.5 0.31 174 3.2 0.25 *Viet Nam, Ho Chi Minh City 319 3.9 0.23 0.32 0.03 284 3.1 0.19 0.26 0.02

Europe Austria, Tyrol 215 10.9 0.77 1.25 0.10 200 7.3 0.62 0.70 0.07 Austria, Vorarlberg 66 6.8 0.87 0.64 0.10 73 5.8 0.80 0.50 0.08

+*Belarus 2487 9.3 0.19 1.06 0.02 2237 5.9 0.14 0.64 0.01*Belgium, Flanders, (excl. Limburg) 666 8.9 0.39 0.92 0.04 506 5.9 0.33 0.58 0.03*Belgium, Limburg 103 9.4 0.96 1.08 0.12 60 4.4 0.64 0.46 0.08*Croatia 1157 8.6 0.27 0.89 0.03 1004 5.5 0.21 0.58 0.02 Czech Republic 2952 9.5 0.18 0.98 0.02 2557 6.1 0.15 0.58 0.01 Denmark 1786 9.7 0.25 0.97 0.03 1436 6.4 0.21 0.62 0.02 Estonia 352 8.7 0.48 1.04 0.07 375 6.3 0.39 0.62 0.04 Finland 1151 7.5 0.24 0.68 0.02 1036 5.4 0.21 0.46 0.02 France, Bas-Rhin 299 10.4 0.63 1.06 0.07 218 5.8 0.44 0.61 0.05

† *France, Calvados 98 4.7 0.50 0.55 0.07 87 4.1 0.50 0.40 0.05 France, Cote d’Or 172 10.6 0.88 1.09 0.10 154 6.8 0.65 0.67 0.07 France, Doubs 187 12.1 0.93 1.23 0.11 121 6.1 0.64 0.59 0.07 France, Haut-Rhin 266 12.6 0.80 1.36 0.10 226 7.9 0.62 0.79 0.07*France, Herault 260 9.6 0.67 0.90 0.06 173 5.8 0.53 0.58 0.05 France, Isere 294 9.2 0.57 0.86 0.06 250 6.7 0.49 0.64 0.05*France, Manche 135 9.9 0.92 0.98 0.10 93 5.5 0.69 0.56 0.07*France, Somme 145 8.5 0.75 0.86 0.08 118 5.7 0.61 0.59 0.06 France, Tarn 123 8.7 0.93 0.87 0.10 85 5.1 0.70 0.50 0.07 Germany, Saarland 366 10.4 0.63 1.02 0.06 304 6.4 0.49 0.60 0.04 Iceland 60 7.4 1.00 0.81 0.13 47 5.3 0.85 0.47 0.09 Ireland 780 9.2 0.35 0.95 0.04 557 5.9 0.28 0.58 0.03 Italy, Biella Province 53 14.4 2.75 1.17 0.20 44 8.8 2.17 0.72 0.15 Italy, Ferrara Province 156 10.2 1.22 1.02 0.10 123 7.0 1.09 0.64 0.08*Italy, Florence 409 9.1 0.59 0.88 0.05 331 6.0 0.54 0.50 0.04 Italy, Genoa Province 330 10.7 0.81 0.98 0.07 254 6.6 0.68 0.58 0.05 Italy, Liguria Italy, Macerata Province 111 10.0 1.27 0.95 0.11 92 6.8 1.04 0.65 0.09 Italy, Modena Province 242 9.5 0.76 0.98 0.08 166 6.0 0.66 0.60 0.06 Italy, North East 449 9.5 0.55 0.88 0.05 406 6.7 0.50 0.57 0.04

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsAll leukaemias (C91-95) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 186 11.4 1.10 1.09 0.10 147 6.8 0.89 0.62 0.07*Italy, Ragusa Province 89 8.6 1.01 0.89 0.11 50 4.2 0.73 0.39 0.07 Italy, Romagna 518 11.6 0.63 1.22 0.07 343 6.5 0.50 0.63 0.05 Italy, Sassari 169 10.1 0.83 1.10 0.10 122 6.2 0.66 0.61 0.07 Italy, Torino 310 9.4 0.69 0.90 0.06 302 7.4 0.62 0.67 0.05 Italy, Umbria 261 12.7 1.02 1.16 0.09 163 6.9 0.79 0.65 0.06 Italy, Varese Province 297 10.2 0.67 1.03 0.07 213 6.3 0.60 0.56 0.05 Italy, Venetian Region 541 10.3 0.53 0.95 0.05 454 6.5 0.45 0.56 0.04*Latvia 621 9.3 0.39 1.05 0.05 618 6.3 0.31 0.63 0.03 Lithuania 979 9.9 0.33 1.10 0.04 893 6.0 0.23 0.66 0.03 Malta 109 10.1 1.02 1.02 0.12 71 5.8 0.76 0.57 0.08 The Netherlands 4138 8.7 0.15 0.86 0.02 2875 5.0 0.11 0.48 0.01 The Netherlands, Eindhoven 243 8.9 0.61 0.87 0.07 165 5.5 0.49 0.51 0.05 The Netherlands, Maastricht 225 8.7 0.65 0.80 0.06 157 4.8 0.48 0.45 0.04 Norway 1258 8.1 0.26 0.81 0.03 969 5.4 0.22 0.48 0.02*Poland, Cracow 99 5.3 0.59 0.46 0.06 97 4.1 0.52 0.31 0.04*Poland, Kielce 175 6.8 0.53 0.78 0.07 129 4.0 0.41 0.40 0.04*Poland, Lower Silesia 649 8.4 0.34 0.91 0.04 549 5.5 0.26 0.55 0.03 Poland, Warsaw City 304 6.2 0.40 0.57 0.04 307 5.0 0.38 0.43 0.03*Portugal, Vila Nova de Gaia 28 4.4 0.91 0.41 0.09 29 3.3 0.65 0.36 0.08*Russia, St Petersburg 806 8.5 0.33 0.89 0.04 859 5.3 0.24 0.55 0.02 Slovakia 1232 8.6 0.25 0.90 0.03 970 5.3 0.19 0.52 0.02 Slovenia 439 8.0 0.41 0.79 0.05 342 4.6 0.30 0.44 0.03 Spain, Albacete 127 10.1 1.03 0.93 0.10 64 4.7 0.75 0.45 0.07 Spain, Asturias 268 8.7 0.64 0.86 0.06 202 5.2 0.49 0.46 0.04*Spain, Canary Islands 161 7.5 0.62 0.70 0.07 174 7.2 0.60 0.67 0.06 Spain, Cuenca 67 7.2 1.15 0.71 0.11 49 5.8 1.09 0.55 0.10 Spain, Girona 97 9.1 1.09 0.82 0.10 71 5.1 0.79 0.45 0.07 Spain, Granada 207 7.7 0.58 0.79 0.07 153 5.0 0.48 0.43 0.04 Spain, Mallorca 165 9.7 0.85 0.89 0.09 96 5.1 0.65 0.47 0.06 Spain, Murcia 236 8.8 0.62 0.85 0.07 182 6.6 0.58 0.57 0.05 Spain, Navarra 168 9.2 0.86 0.88 0.08 123 5.7 0.71 0.53 0.06 Spain, Tarragona 181 8.7 0.78 0.82 0.08 133 5.4 0.58 0.51 0.06*Spain, Zaragoza 208 7.4 0.63 0.70 0.06 188 5.3 0.50 0.50 0.05 Sweden 2854 8.7 0.19 0.87 0.02 2204 6.1 0.16 0.58 0.02 Switzerland, Basel 159 10.2 0.91 1.05 0.10 121 6.8 0.84 0.68 0.08 Switzerland, Geneva 133 9.1 0.91 0.88 0.10 110 6.1 0.71 0.57 0.08 Switzerland, Graubunden and Glarus 74 9.9 1.25 1.03 0.15 40 5.1 0.99 0.43 0.09 Switzerland, Neuchatel 26 7.1 1.57 0.65 0.14 28 6.2 1.44 0.54 0.12 Switzerland, St Gall-Appenzell 134 7.9 0.75 0.71 0.08 110 5.5 0.65 0.46 0.06*Switzerland, Ticino 29 6.2 1.25 0.70 0.16 26 4.4 0.97 0.56 0.13 Switzerland, Valais 87 10.1 1.14 1.03 0.13 52 5.2 0.83 0.48 0.08 Switzerland, Vaud 123 8.2 0.83 0.84 0.09 91 5.1 0.68 0.44 0.06 Switzerland, Zurich 253 8.7 0.63 0.78 0.06 185 4.7 0.45 0.40 0.04*UK, England 14558 8.5 0.08 0.82 0.01 11681 5.4 0.06 0.49 0.01 UK, England, East Anglia 632 7.9 0.36 0.80 0.04 466 4.8 0.28 0.47 0.03 UK, England, Merseyside and Cheshire 580 6.9 0.32 0.64 0.03 477 4.5 0.26 0.41 0.02 UK, England, North Western 1297 9.5 0.29 0.92 0.03 1037 6.1 0.24 0.56 0.02 UK, England, Oxford Region 892 10.4 0.38 1.02 0.04 734 7.2 0.31 0.70 0.03*UK, England, South Thames 2156 9.0 0.22 0.87 0.02 1883 6.0 0.18 0.57 0.02*UK, England, South and Western Regions 2577 10.2 0.23 0.97 0.02 2011 6.6 0.20 0.57 0.02 UK, England, Trent 1429 8.5 0.25 0.81 0.03 1081 5.0 0.19 0.47 0.02*UK, England, West Midlands Region 1511 8.1 0.23 0.78 0.02 1229 5.6 0.20 0.50 0.02 UK, England, Yorkshire 1287 9.6 0.29 0.96 0.03 1067 6.4 0.24 0.62 0.02 UK, Northern Ireland 443 9.1 0.45 0.82 0.05 330 5.9 0.37 0.52 0.04 UK, Scotland 1612 9.6 0.26 0.95 0.03 1308 5.9 0.20 0.55 0.02*Yugoslavia, Vojvodina 322 4.9 0.30 0.54 0.03 272 3.6 0.25 0.36 0.02

Oceania Australia, Capital Territory 72 10.1 1.23 1.01 0.15 57 7.7 1.08 0.75 0.12 Australia, New South Wales 2042 10.6 0.25 1.03 0.03 1489 6.6 0.20 0.62 0.02 Australia, Northern Territory 19 5.3 1.33 0.65 0.23 22 7.9 1.82 0.82 0.27 Australia, Queensland 1227 12.4 0.37 1.24 0.04 904 8.2 0.30 0.78 0.03 Australia, South 631 12.7 0.54 1.27 0.06 451 8.2 0.45 0.79 0.05 Australia, Tasmania 138 8.9 0.80 0.89 0.10 118 7.2 0.74 0.72 0.08 Australia, Victoria 1371 9.8 0.28 0.93 0.03 1076 6.5 0.23 0.56 0.02 Australia, Western 447 9.1 0.45 0.91 0.05 346 6.5 0.39 0.57 0.04 New Zealand 1353 12.3 0.35 1.18 0.04 1071 8.1 0.28 0.77 0.03 USA, Hawaii: White 99 11.0 1.21 1.02 0.13 57 6.4 0.95 0.65 0.10 USA, Hawaii: Chinese 18 8.6 2.33 0.84 0.23 15 5.4 1.90 0.52 0.18 USA, Hawaii: Filipino 61 11.1 1.54 1.19 0.19 31 7.1 1.34 0.62 0.13 USA, Hawaii: Hawaiian 32 6.0 1.08 0.62 0.14 33 6.2 1.11 0.58 0.13 USA, Hawaii: Japanese 70 6.2 0.96 0.56 0.09 43 3.9 0.88 0.28 0.06

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsLymphoid leukaemia (C91)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 56 1.2 0.17 0.12 0.02 29 0.7 0.12 0.05 0.01*France, La Reunion 8 1.5 0.54 0.11 0.05 7 0.9 0.36 0.07 0.04*The Gambia 1 0.1 0.13 - - 0 - - - - *Mali, Bamako 0 - - - - 2 0.3 0.26 0.01 0.01*Uganda, Kyadondo County 6 0.2 0.07 0.01 0.00 7 0.5 0.25 0.05 0.03*Zimbabwe, Harare: African 31 1.3 0.29 0.14 0.05 17 1.3 0.45 0.21 0.10

America, Central and South*Argentina, Bahia Blanca 39 3.9 0.65 0.32 0.06 40 2.8 0.47 0.26 0.06*Argentina, Concordia 11 3.1 0.96 0.21 0.08 8 2.2 0.80 0.19 0.08*Brazil, Campinas 34 2.0 0.35 0.14 0.04 24 1.2 0.24 0.07 0.02*Brazil, Goiania 40 2.7 0.45 0.26 0.06 32 2.0 0.36 0.15 0.04 Colombia, Cali 105 3.0 0.30 0.20 0.03 96 2.6 0.27 0.19 0.03*Costa Rica 129 4.1 0.38 0.35 0.04 97 3.0 0.31 0.23 0.03*Cuba, Villa Clara 40 2.9 0.50 0.29 0.05 17 1.3 0.33 0.14 0.04*Ecuador, Quito 86 3.1 0.36 0.25 0.04 99 2.9 0.31 0.22 0.03*France, Martinique 17 1.9 0.47 0.17 0.05 16 1.4 0.37 0.13 0.04*USA, Puerto Rico 88 2.3 0.26 0.19 0.03 54 1.5 0.22 0.10 0.02*Uruguay, Montevideo 59 2.6 0.35 0.26 0.04 48 1.6 0.28 0.11 0.02

America, North Canada 5126 6.0 0.09 0.59 0.01 3432 3.5 0.07 0.31 0.01 Canada, Alberta 453 6.2 0.30 0.65 0.04 274 3.6 0.24 0.36 0.03 Canada, British Columbia 550 5.0 0.23 0.46 0.02 322 2.9 0.19 0.23 0.02 Canada, Manitoba 231 6.6 0.47 0.68 0.06 151 3.6 0.35 0.31 0.04 Canada, New Brunswick 124 5.8 0.57 0.53 0.06 73 3.0 0.42 0.29 0.04 Canada, Newfoundland 48 3.5 0.54 0.33 0.05 33 2.6 0.51 0.22 0.04 Canada, Northwest Territories 7 1.9 0.77 0.17 0.08 4 0.9 0.44 0.04 0.02 Canada, Nova Scotia 118 4.7 0.47 0.43 0.05 87 3.2 0.43 0.23 0.03 Canada, Ontario 1958 6.1 0.15 0.60 0.02 1372 3.8 0.12 0.33 0.01 Canada, Prince Edward Island 16 4.0 1.04 0.49 0.14 9 2.4 0.89 0.20 0.08+Canada, Quebec 1337 6.5 0.19 0.60 0.02 943 3.7 0.14 0.32 0.01 Canada, Saskatchewan 283 8.6 0.56 0.89 0.07 167 4.5 0.41 0.44 0.04 Canada, Yukon 16 9.4 2.44 1.31 0.42 4 2.8 1.42 0.21 0.13 USA, California, Los Angeles: Non-Hispanic White 755 6.4 0.27 0.59 0.03 549 4.0 0.22 0.36 0.02 USA, California, Los Angeles: Hispanic White 338 5.3 0.32 0.44 0.04 239 3.6 0.24 0.26 0.03 USA, California, Los Angeles: Black 93 4.1 0.43 0.40 0.05 84 2.7 0.32 0.26 0.04 USA, California, Los Angeles: Chinese 19 3.0 0.71 0.26 0.07 9 1.2 0.44 0.10 0.04 USA, California, Los Angeles: Filipino 22 3.7 0.83 0.34 0.09 8 1.3 0.47 0.12 0.05 USA, California, Los Angeles: Japanese 7 1.2 0.46 0.11 0.06 3 1.0 0.67 0.05 0.03 USA, California, Los Angeles: Korean 4 1.0 0.51 0.05 0.03 7 1.8 0.74 0.09 0.04 USA, California, San Francisco: Non-Hispanic White 373 5.9 0.35 0.53 0.03 236 3.3 0.28 0.29 0.02 USA, California, San Francisco: Hispanic White 46 3.8 0.57 0.25 0.05 38 2.7 0.46 0.21 0.05 USA, California, San Francisco: Black 44 3.9 0.61 0.39 0.07 28 1.9 0.39 0.14 0.04 USA, Connecticut: White 477 5.2 0.26 0.54 0.03 369 3.3 0.21 0.30 0.02 USA, Connecticut: Black 19 3.1 0.73 0.33 0.10 23 3.0 0.65 0.29 0.08 USA, Georgia, Atlanta: White 167 4.7 0.38 0.44 0.04 126 2.6 0.27 0.24 0.03 USA, Georgia, Atlanta: Black 51 3.4 0.50 0.33 0.07 29 1.4 0.27 0.11 0.03 USA, Iowa 683 7.3 0.31 0.75 0.04 476 3.9 0.23 0.37 0.02 USA, Louisiana, Central Region: White 29 4.2 0.83 0.42 0.10 20 2.3 0.68 0.11 0.04 USA, Louisiana, Central Region: Black 6 3.3 1.42 0.21 0.12 3 1.3 0.84 0.12 0.09 USA, Louisiana, New Orleans: White 88 5.1 0.61 0.47 0.06 55 2.7 0.47 0.21 0.04 USA, Louisiana, New Orleans: Black 24 3.1 0.64 0.43 0.10 13 1.3 0.38 0.15 0.05 USA, Michigan, Detroit: White 508 5.8 0.28 0.57 0.03 382 3.4 0.22 0.32 0.02 USA, Michigan, Detroit: Black 115 4.8 0.46 0.57 0.06 66 2.0 0.26 0.21 0.03 USA, New Jersey: White 1058 5.5 0.19 0.51 0.02 810 3.2 0.15 0.28 0.01 USA, New Jersey: Black 91 3.7 0.39 0.37 0.05 72 2.2 0.27 0.19 0.03 USA, New Mexico: Non-Hispanic White 167 5.4 0.47 0.58 0.06 92 3.0 0.40 0.27 0.04 USA, New Mexico: Hispanic White 60 3.9 0.51 0.30 0.05 48 2.8 0.43 0.21 0.04 USA, New Mexico: American Indian 8 2.3 0.86 0.15 0.08 3 0.7 0.41 0.03 0.02 USA, New York State: White 2330 5.4 0.12 0.52 0.01 1841 3.3 0.10 0.28 0.01 USA, New York State: Black 224 3.3 0.22 0.33 0.03 198 2.0 0.15 0.19 0.02 USA, Utah 233 4.8 0.32 0.50 0.04 139 2.5 0.23 0.22 0.03 USA, Washington, Seattle 672 6.5 0.27 0.65 0.03 446 3.8 0.21 0.33 0.02 USA, SEER: White 3361 5.8 0.11 0.58 0.01 2326 3.3 0.08 0.30 0.01 USA, SEER: Black 252 4.2 0.27 0.47 0.04 162 2.0 0.17 0.19 0.02

Asia*China, Beijing 63 1.2 0.16 0.09 0.01 42 0.8 0.14 0.06 0.01

+*China, Changle *China, Cixian *China, Hong Kong 247 1.9 0.13 0.13 0.01 195 1.6 0.12 0.10 0.01*China, Jiashan 3 0.3 0.19 0.02 0.01 5 0.7 0.33 0.05 0.03

+*China, Qidong County 29 1.0 0.20 0.09 0.02 22 0.7 0.16 0.07 0.02+*China, Shanghai 253 1.6 0.13 0.13 0.01 166 1.1 0.11 0.09 0.01

*China, Taiwan 163 1.6 0.13 0.12 0.01 113 1.3 0.12 0.08 0.01*China, Tianjin 116 1.4 0.16 0.12 0.01 79 1.0 0.14 0.08 0.01+China, Wuhan 94 1.2 0.14 0.09 0.01 81 1.0 0.13 0.07 0.01

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsLymphoid leukaemia (C91) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 102 1.1 0.11 0.07 0.01 65 0.9 0.12 0.07 0.01*India, Bangalore 127 1.2 0.11 0.09 0.01 67 0.7 0.09 0.05 0.01 India, Chennai (Madras) 164 1.8 0.15 0.11 0.01 82 1.0 0.12 0.07 0.01*India, Delhi 381 2.0 0.11 0.16 0.01 189 1.1 0.09 0.10 0.01*India, Karunagappally 18 2.1 0.51 0.13 0.03 7 0.8 0.32 0.05 0.02 India, Mumbai (Bombay) 469 2.0 0.10 0.15 0.01 236 1.1 0.08 0.09 0.01*India, Nagpur 63 2.5 0.33 0.17 0.03 24 1.0 0.22 0.08 0.03*India, Poona 86 1.6 0.19 0.13 0.02 33 0.6 0.11 0.05 0.01*India, Trivandrum 47 1.9 0.28 0.11 0.02 31 1.2 0.22 0.12 0.03 Israel: Jews 606 4.8 0.20 0.48 0.02 434 2.7 0.14 0.26 0.02 Israel: Jews born in Israel 152 4.1 0.46 0.41 0.06 83 1.9 0.30 0.15 0.03 Israel: Jews born in Europe or America 332 6.4 0.69 0.60 0.05 261 3.7 0.63 0.32 0.03 Israel: Jews born in Africa or Asia 122 6.3 2.31 0.49 0.11 90 2.0 0.21 0.21 0.03 Israel: Non-Jews 65 3.5 0.50 0.34 0.07 56 2.8 0.40 0.27 0.06 Japan, Hiroshima 51 1.9 0.29 0.16 0.03 43 1.6 0.29 0.13 0.02*Japan, Miyagi Prefecture 116 2.1 0.22 0.15 0.02 97 1.6 0.20 0.13 0.01*Japan, Nagasaki Prefecture 307 5.5 0.35 0.60 0.04 247 3.7 0.30 0.35 0.03*Japan, Osaka Prefecture 439 2.2 0.12 0.16 0.01 361 1.6 0.10 0.13 0.01*Japan, Saga Prefecture 94 3.2 0.37 0.33 0.04 91 2.8 0.34 0.26 0.03*Japan, Yamagata Prefecture 34 1.1 0.22 0.07 0.01 41 1.1 0.22 0.09 0.02*Korea, Busan 39 1.2 0.20 0.09 0.02 32 0.9 0.16 0.07 0.01*Korea, Daegu 32 1.6 0.29 0.12 0.03 29 1.3 0.25 0.09 0.02*Korea, Kangwha County 3 1.7 1.01 0.12 0.07 3 3.0 1.85 0.15 0.09*Korea, Seoul 374 1.8 0.10 0.13 0.01 282 1.4 0.08 0.09 0.01*Kuwait: Kuwaitis 27 2.3 0.54 0.24 0.08 25 2.1 0.48 0.18 0.07*Kuwait: Non-Kuwaitis 47 5.0 1.47 0.24 0.07 16 1.9 0.75 0.22 0.12*Oman: Omani 92 2.2 0.27 0.19 0.04 43 1.1 0.21 0.10 0.03*Pakistan, South Karachi 28 1.1 0.22 0.09 0.03 26 1.2 0.26 0.11 0.03*Philippines, Manila 259 2.3 0.17 0.16 0.02 185 1.5 0.12 0.11 0.01*Philippines, Rizal 194 1.6 0.13 0.11 0.01 159 1.3 0.11 0.11 0.01 Singapore: Chinese 105 2.3 0.23 0.16 0.02 65 1.3 0.18 0.11 0.02 Singapore: Indian 10 1.8 0.58 0.16 0.06 1 0.3 0.27 0.01 0.01 Singapore: Malay 21 2.1 0.47 0.13 0.03 13 1.4 0.40 0.11 0.04*Thailand, Bangkok 107 1.7 0.18 0.12 0.02 75 1.2 0.15 0.09 0.01*Thailand, Chiang Mai 54 1.7 0.25 0.12 0.02 23 0.8 0.17 0.06 0.01*Thailand, Khon Kaen 49 1.3 0.20 0.09 0.02 44 1.2 0.19 0.07 0.01*Thailand, Lampang 34 2.0 0.36 0.16 0.04 16 0.9 0.25 0.07 0.02*Thailand, Songkhla 19 0.9 0.22 0.06 0.02 23 1.2 0.25 0.06 0.01*Viet Nam, Hanoi 50 1.0 0.14 - - 28 0.5 0.10 - - *Viet Nam, Ho Chi Minh City 109 1.4 0.14 0.10 0.01 84 1.0 0.11 0.07 0.01

Europe Austria, Tyrol 106 5.4 0.55 0.69 0.08 84 3.4 0.47 0.28 0.04 Austria, Vorarlberg 42 4.4 0.71 0.39 0.08 29 2.5 0.58 0.19 0.05

+*Belarus 1450 5.5 0.15 0.63 0.02 1163 3.1 0.10 0.33 0.01*Belgium, Flanders, (excl. Limburg) 337 4.7 0.29 0.48 0.03 226 2.7 0.24 0.26 0.02*Belgium, Limburg 59 5.3 0.73 0.64 0.10 33 2.4 0.50 0.22 0.05*Croatia 587 4.7 0.21 0.46 0.02 471 2.8 0.16 0.27 0.01 Czech Republic 1173 4.0 0.13 0.41 0.01 847 2.4 0.10 0.21 0.01 Denmark 990 5.5 0.20 0.54 0.02 731 3.4 0.16 0.31 0.02 Estonia 194 4.8 0.36 0.58 0.05 191 3.4 0.31 0.31 0.03 Finland 627 4.4 0.19 0.39 0.02 496 3.0 0.17 0.22 0.01 France, Bas-Rhin 144 5.3 0.47 0.52 0.05 102 2.8 0.32 0.29 0.03

† *France, Calvados 57 2.8 0.39 0.32 0.05 53 2.6 0.40 0.25 0.04 France, Cote d’Or 92 5.7 0.64 0.66 0.08 66 2.9 0.44 0.30 0.05 France, Doubs 91 6.3 0.70 0.68 0.08 59 3.1 0.48 0.29 0.05 France, Haut-Rhin 156 7.4 0.62 0.80 0.08 108 3.8 0.44 0.37 0.05*France, Herault 145 5.7 0.54 0.51 0.05 83 2.9 0.39 0.28 0.03 France, Isere 147 4.9 0.43 0.44 0.04 131 3.9 0.38 0.40 0.04*France, Manche 72 5.3 0.67 0.54 0.07 39 2.5 0.49 0.24 0.05*France, Somme 84 4.9 0.57 0.51 0.06 62 3.1 0.47 0.31 0.05 France, Tarn 66 5.1 0.75 0.50 0.07 35 2.0 0.47 0.19 0.04 Germany, Saarland 170 5.3 0.49 0.50 0.04 110 2.7 0.35 0.23 0.03 Iceland 28 3.5 0.69 0.33 0.08 20 2.6 0.63 0.25 0.07 Ireland 430 5.3 0.27 0.53 0.03 277 3.0 0.21 0.28 0.02 Italy, Biella Province 31 8.7 2.24 0.71 0.16 22 5.6 2.01 0.37 0.11 Italy, Ferrara Province 88 6.3 1.03 0.63 0.08 58 3.7 0.87 0.30 0.06*Italy, Florence 203 5.1 0.50 0.44 0.04 138 3.1 0.44 0.20 0.03 Italy, Genoa Province 178 6.1 0.66 0.55 0.05 118 3.8 0.61 0.29 0.04 Italy, Liguria Italy, Macerata Province 56 5.4 1.03 0.53 0.08 50 4.4 0.94 0.38 0.07 Italy, Modena Province 118 5.1 0.62 0.53 0.06 75 3.3 0.57 0.29 0.04 Italy, North East 225 5.2 0.43 0.44 0.04 186 3.2 0.37 0.25 0.03

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsLymphoid leukaemia (C91) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 85 5.9 0.90 0.52 0.07 56 3.0 0.71 0.26 0.05*Italy, Ragusa Province 42 4.3 0.74 0.42 0.08 21 1.7 0.47 0.16 0.04 Italy, Romagna 266 6.4 0.51 0.64 0.05 165 3.6 0.42 0.34 0.03 Italy, Sassari 86 5.5 0.64 0.63 0.08 62 3.6 0.54 0.37 0.06 Italy, Torino 145 5.3 0.60 0.42 0.04 120 3.1 0.47 0.27 0.03 Italy, Umbria 125 6.9 0.84 0.59 0.07 83 4.1 0.69 0.37 0.05 Italy, Varese Province 131 4.9 0.50 0.48 0.05 106 3.6 0.51 0.30 0.04 Italy, Venetian Region 252 5.6 0.44 0.48 0.04 208 3.4 0.37 0.27 0.03*Latvia 330 5.1 0.30 0.55 0.04 322 3.4 0.24 0.32 0.02 Lithuania 543 5.7 0.25 0.61 0.03 393 2.7 0.16 0.29 0.02 Malta 55 5.3 0.77 0.45 0.08 26 2.4 0.53 0.21 0.05 The Netherlands 2100 4.7 0.11 0.45 0.01 1287 2.5 0.08 0.22 0.01 The Netherlands, Eindhoven 112 4.3 0.43 0.42 0.05 77 2.7 0.37 0.26 0.03 The Netherlands, Maastricht 114 4.9 0.53 0.41 0.04 71 2.7 0.40 0.22 0.03 Norway 562 3.9 0.19 0.35 0.02 405 2.5 0.16 0.20 0.01*Poland, Cracow 37 2.0 0.37 0.16 0.03 38 1.7 0.33 0.12 0.02*Poland, Kielce 102 4.1 0.43 0.46 0.05 72 2.4 0.34 0.21 0.03*Poland, Lower Silesia 316 4.2 0.25 0.44 0.03 248 2.5 0.18 0.24 0.02 Poland, Warsaw City 141 3.1 0.30 0.26 0.03 118 2.4 0.30 0.17 0.02*Portugal, Vila Nova de Gaia 12 1.8 0.55 0.16 0.05 8 0.7 0.26 0.11 0.05*Russia, St Petersburg 476 5.2 0.26 0.54 0.03 437 2.7 0.18 0.27 0.02 Slovakia 715 5.1 0.20 0.53 0.02 488 2.7 0.14 0.25 0.01 Slovenia 258 4.9 0.33 0.46 0.04 193 2.8 0.25 0.25 0.02 Spain, Albacete 63 5.1 0.78 0.40 0.07 29 2.0 0.49 0.21 0.05 Spain, Asturias 141 4.6 0.47 0.44 0.04 88 1.9 0.26 0.17 0.03*Spain, Canary Islands 82 4.1 0.48 0.36 0.05 70 3.3 0.44 0.29 0.04 Spain, Cuenca 38 4.1 0.94 0.35 0.08 22 2.4 0.75 0.21 0.06 Spain, Girona 45 5.0 0.91 0.40 0.07 30 2.6 0.64 0.23 0.05 Spain, Granada 98 3.8 0.42 0.36 0.05 73 2.4 0.34 0.19 0.03 Spain, Mallorca 85 5.5 0.67 0.50 0.07 38 1.9 0.39 0.20 0.04 Spain, Murcia 100 3.9 0.42 0.36 0.04 90 3.5 0.45 0.29 0.04 Spain, Navarra 81 5.1 0.72 0.44 0.06 70 3.5 0.61 0.32 0.05 Spain, Tarragona 79 4.4 0.61 0.38 0.05 41 1.9 0.34 0.19 0.03*Spain, Zaragoza 113 4.6 0.55 0.37 0.04 85 2.6 0.37 0.23 0.03 Sweden 1656 5.3 0.15 0.52 0.02 1103 3.3 0.13 0.29 0.01 Switzerland, Basel 68 4.5 0.63 0.44 0.07 43 2.7 0.59 0.22 0.04 Switzerland, Geneva 74 5.5 0.76 0.47 0.07 60 3.5 0.56 0.34 0.06 Switzerland, Graubunden and Glarus 48 6.4 0.99 0.69 0.12 16 2.1 0.68 0.15 0.05 Switzerland, Neuchatel 12 4.2 1.33 0.37 0.11 14 3.7 1.25 0.26 0.08 Switzerland, St Gall-Appenzell 73 4.7 0.61 0.42 0.06 57 2.9 0.48 0.25 0.04*Switzerland, Ticino 11 2.7 0.91 0.35 0.12 9 1.7 0.65 0.19 0.07 Switzerland, Valais 42 4.9 0.81 0.49 0.09 26 3.0 0.67 0.27 0.06 Switzerland, Vaud 63 4.4 0.64 0.41 0.06 37 2.2 0.48 0.16 0.04 Switzerland, Zurich 112 4.2 0.47 0.35 0.04 74 2.1 0.34 0.15 0.02*UK, England 7370 4.6 0.06 0.43 0.01 5259 2.6 0.05 0.22 0.00 UK, England, East Anglia 314 4.2 0.27 0.39 0.03 196 2.2 0.21 0.20 0.02 UK, England, Merseyside and Cheshire 264 3.3 0.23 0.29 0.02 190 2.0 0.19 0.16 0.02 UK, England, North Western 570 4.3 0.20 0.40 0.02 402 2.5 0.16 0.19 0.01 UK, England, Oxford Region 469 5.7 0.29 0.54 0.03 356 3.8 0.24 0.37 0.02*UK, England, South Thames 1087 4.8 0.17 0.46 0.02 836 2.9 0.13 0.26 0.01*UK, England, South and Western Regions 1285 5.4 0.18 0.49 0.02 931 3.2 0.15 0.27 0.01 UK, England, Trent 724 4.6 0.19 0.43 0.02 481 2.3 0.14 0.20 0.01*UK, England, West Midlands Region 763 4.4 0.18 0.40 0.02 521 2.5 0.14 0.21 0.01 UK, England, Yorkshire 815 6.2 0.24 0.63 0.03 606 3.7 0.19 0.35 0.02 UK, Northern Ireland 217 4.7 0.34 0.38 0.03 149 2.8 0.27 0.23 0.02 UK, Scotland 883 5.6 0.21 0.54 0.02 602 2.9 0.15 0.25 0.01*Yugoslavia, Vojvodina 187 3.0 0.24 0.31 0.03 159 2.2 0.20 0.21 0.02

Oceania Australia, Capital Territory 36 5.2 0.89 0.53 0.11 27 4.1 0.82 0.34 0.08 Australia, New South Wales 899 5.1 0.18 0.48 0.02 572 2.9 0.14 0.25 0.01 Australia, Northern Territory 6 1.6 0.69 0.14 0.08 6 2.2 0.95 0.20 0.11 Australia, Queensland 577 6.2 0.27 0.60 0.03 415 4.1 0.23 0.37 0.02 Australia, South 341 7.3 0.43 0.74 0.05 229 4.4 0.34 0.43 0.04 Australia, Tasmania 57 3.9 0.55 0.39 0.06 62 3.7 0.55 0.39 0.06 Australia, Victoria 657 5.1 0.21 0.44 0.02 461 3.2 0.18 0.25 0.02 Australia, Western 220 4.7 0.33 0.44 0.04 147 3.1 0.29 0.26 0.03 New Zealand 748 6.9 0.27 0.66 0.03 545 4.2 0.21 0.38 0.02 USA, Hawaii: White 47 5.7 0.92 0.53 0.10 29 3.4 0.75 0.28 0.07 USA, Hawaii: Chinese 7 3.3 1.42 0.38 0.16 4 1.2 0.66 0.20 0.12 USA, Hawaii: Filipino 11 2.2 0.70 0.26 0.09 7 2.1 0.81 0.13 0.05 USA, Hawaii: Hawaiian 13 2.4 0.69 0.22 0.08 11 2.0 0.61 0.14 0.06 USA, Hawaii: Japanese 18 2.4 0.74 0.17 0.05 12 1.2 0.47 0.10 0.04

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Age-standardized (world) incidence (per 100,000) andcumulative (0-74) incidence (percent)

rates and standard errorsMyeloid leukaemia (C92-94)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 37 0.8 0.13 0.07 0.02 26 0.5 0.11 0.04 0.01*France, La Reunion 17 3.2 0.79 0.37 0.12 10 1.7 0.56 0.21 0.08*The Gambia 0 - - - - 0 - - - - *Mali, Bamako 12 1.3 0.44 0.10 0.04 10 2.3 0.76 0.24 0.08*Uganda, Kyadondo County 8 0.2 0.08 0.01 0.01 7 0.6 0.27 0.06 0.03*Zimbabwe, Harare: African 41 1.4 0.31 0.17 0.06 39 1.6 0.37 0.18 0.07

America, Central and South*Argentina, Bahia Blanca 38 3.5 0.57 0.30 0.07 31 2.1 0.43 0.19 0.05*Argentina, Concordia 4 1.2 0.59 0.11 0.07 6 1.4 0.59 0.13 0.07*Brazil, Campinas 50 2.9 0.41 0.26 0.05 37 1.9 0.31 0.18 0.03*Brazil, Goiania 34 2.0 0.36 0.17 0.04 30 1.7 0.32 0.16 0.04 Colombia, Cali 60 1.8 0.25 0.20 0.04 69 1.8 0.23 0.16 0.03*Costa Rica 91 3.1 0.34 0.32 0.05 69 2.3 0.29 0.24 0.04*Cuba, Villa Clara 39 3.0 0.52 0.26 0.05 18 1.2 0.31 0.11 0.04*Ecuador, Quito 110 4.2 0.43 0.41 0.06 76 2.3 0.28 0.21 0.03*France, Martinique 28 2.7 0.52 0.26 0.06 23 1.6 0.35 0.17 0.05*USA, Puerto Rico 96 2.4 0.26 0.23 0.03 87 2.0 0.22 0.19 0.03*Uruguay, Montevideo 78 3.4 0.39 0.34 0.04 65 2.0 0.27 0.21 0.03

America, North Canada 3660 3.9 0.07 0.41 0.01 2929 2.8 0.06 0.28 0.01 Canada, Alberta 335 4.4 0.24 0.46 0.03 250 2.9 0.19 0.30 0.02 Canada, British Columbia 416 3.3 0.17 0.34 0.02 330 2.5 0.15 0.25 0.02 Canada, Manitoba 126 3.0 0.29 0.31 0.04 109 2.8 0.29 0.28 0.03 Canada, New Brunswick 85 3.6 0.41 0.38 0.05 74 2.7 0.34 0.24 0.04 Canada, Newfoundland 41 2.5 0.40 0.25 0.05 47 2.8 0.43 0.30 0.05 Canada, Northwest Territories 10 2.6 0.86 0.19 0.07 8 2.6 1.09 0.35 0.21 Canada, Nova Scotia 94 3.1 0.33 0.30 0.04 81 2.3 0.29 0.21 0.03 Canada, Ontario 1555 4.5 0.12 0.46 0.01 1223 3.1 0.10 0.31 0.01 Canada, Prince Edward Island 14 3.2 0.89 0.33 0.11 18 3.3 0.83 0.43 0.12+Canada, Quebec 819 3.7 0.13 0.39 0.02 680 2.5 0.11 0.26 0.01 Canada, Saskatchewan 168 4.6 0.39 0.49 0.05 114 2.9 0.32 0.29 0.04 Canada, Yukon 6 2.8 1.22 0.31 0.14 1 0.4 0.37 0.03 0.03 USA, California, Los Angeles: Non-Hispanic White 696 5.0 0.21 0.49 0.02 575 3.6 0.19 0.35 0.02 USA, California, Los Angeles: Hispanic White 276 5.3 0.37 0.56 0.06 170 2.8 0.23 0.29 0.03 USA, California, Los Angeles: Black 93 3.9 0.41 0.37 0.05 94 2.8 0.31 0.28 0.04 USA, California, Los Angeles: Chinese 28 3.1 0.62 0.30 0.07 20 2.0 0.49 0.23 0.07 USA, California, Los Angeles: Filipino 28 4.2 0.84 0.51 0.13 31 3.9 0.75 0.35 0.08 USA, California, Los Angeles: Japanese 22 4.8 1.21 0.32 0.10 17 4.1 1.13 0.39 0.10 USA, California, Los Angeles: Korean 11 2.6 0.82 0.20 0.09 10 2.1 0.68 0.22 0.08 USA, California, San Francisco: Non-Hispanic White 369 4.7 0.27 0.50 0.03 291 3.1 0.22 0.31 0.02 USA, California, San Francisco: Hispanic White 45 3.4 0.54 0.35 0.08 41 3.2 0.52 0.38 0.07 USA, California, San Francisco: Black 46 3.7 0.56 0.46 0.08 39 2.8 0.47 0.31 0.06 USA, Connecticut: White 472 4.7 0.24 0.52 0.03 388 3.1 0.19 0.32 0.02 USA, Connecticut: Black 25 3.9 0.80 0.37 0.09 25 3.1 0.65 0.27 0.07 USA, Georgia, Atlanta: White 212 5.2 0.37 0.57 0.05 158 3.1 0.27 0.34 0.04 USA, Georgia, Atlanta: Black 60 3.7 0.52 0.40 0.08 50 2.2 0.33 0.26 0.05 USA, Iowa 519 4.9 0.24 0.53 0.03 438 3.4 0.20 0.35 0.02 USA, Louisiana, Central Region: White 34 4.8 0.87 0.46 0.10 31 3.4 0.69 0.32 0.08 USA, Louisiana, Central Region: Black 10 5.9 1.93 0.76 0.28 5 2.2 1.02 0.27 0.15 USA, Louisiana, New Orleans: White 85 4.2 0.48 0.45 0.06 81 2.9 0.39 0.30 0.04 USA, Louisiana, New Orleans: Black 23 2.8 0.59 0.31 0.09 34 3.0 0.53 0.26 0.05 USA, Michigan, Detroit: White 494 4.9 0.23 0.52 0.03 470 3.7 0.19 0.39 0.02 USA, Michigan, Detroit: Black 97 3.9 0.41 0.42 0.05 119 3.7 0.35 0.38 0.04 USA, New Jersey: White 1111 5.0 0.16 0.53 0.02 935 3.3 0.13 0.32 0.01 USA, New Jersey: Black 101 3.8 0.39 0.40 0.05 100 2.8 0.30 0.29 0.04 USA, New Mexico: Non-Hispanic White 139 4.4 0.40 0.50 0.05 111 3.0 0.32 0.33 0.04 USA, New Mexico: Hispanic White 51 3.1 0.44 0.39 0.07 60 3.5 0.47 0.33 0.05 USA, New Mexico: American Indian 8 2.7 1.04 0.26 0.12 9 2.7 0.91 0.32 0.13 USA, New York State: White 2294 4.8 0.11 0.50 0.01 1957 3.2 0.09 0.32 0.01 USA, New York State: Black 259 3.6 0.23 0.39 0.03 253 2.5 0.17 0.24 0.02 USA, Utah 234 4.5 0.31 0.46 0.04 150 2.5 0.22 0.24 0.03 USA, Washington, Seattle 576 4.9 0.22 0.52 0.03 467 3.5 0.18 0.37 0.02 USA, SEER: White 3095 4.7 0.09 0.51 0.01 2550 3.3 0.07 0.34 0.01 USA, SEER: Black 258 4.0 0.26 0.43 0.03 249 3.0 0.20 0.32 0.03

Asia*China, Beijing 138 2.0 0.18 0.17 0.02 104 1.4 0.15 0.14 0.02

+*China, Changle *China, Cixian *China, Hong Kong 606 3.4 0.14 0.32 0.02 485 2.6 0.13 0.25 0.01*China, Jiashan 17 1.7 0.45 0.12 0.03 13 1.0 0.29 0.12 0.04

+*China, Qidong County 78 2.6 0.31 0.26 0.03 61 1.9 0.26 0.17 0.03+*China, Shanghai 417 2.1 0.12 0.19 0.01 306 1.5 0.09 0.15 0.01

*China, Taiwan 329 2.8 0.16 0.26 0.02 251 2.3 0.15 0.21 0.02*China, Tianjin 177 1.8 0.14 0.16 0.01 140 1.3 0.12 0.12 0.01+China, Wuhan 165 1.6 0.14 0.16 0.01 128 1.2 0.11 0.12 0.01

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rates and standard errorsMyeloid leukaemia (C92-94) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 175 1.9 0.15 0.17 0.02 121 1.5 0.14 0.13 0.01*India, Bangalore 178 1.6 0.13 0.15 0.01 146 1.6 0.14 0.17 0.02 India, Chennai (Madras) 142 1.5 0.13 0.15 0.02 126 1.4 0.13 0.14 0.02*India, Delhi 380 2.1 0.12 0.20 0.02 264 1.7 0.11 0.16 0.01*India, Karunagappally 11 1.2 0.36 0.12 0.05 8 0.8 0.27 0.08 0.03 India, Mumbai (Bombay) 466 1.9 0.10 0.18 0.01 339 1.8 0.10 0.18 0.01*India, Nagpur 47 2.0 0.31 0.20 0.04 29 1.2 0.24 0.09 0.02*India, Poona 91 1.5 0.18 0.15 0.02 72 1.4 0.17 0.14 0.02*India, Trivandrum 36 1.4 0.24 0.13 0.03 42 1.5 0.24 0.14 0.03 Israel: Jews 458 3.5 0.17 0.37 0.02 450 3.0 0.15 0.31 0.02 Israel: Jews born in Israel 130 3.8 0.47 0.36 0.06 106 3.0 0.40 0.37 0.07 Israel: Jews born in Europe or America 221 3.7 0.43 0.39 0.04 233 3.3 0.32 0.34 0.03 Israel: Jews born in Africa or Asia 107 3.8 0.71 0.37 0.05 111 3.9 0.66 0.35 0.05 Israel: Non-Jews 52 3.1 0.47 0.36 0.08 49 2.8 0.42 0.30 0.06 Japan, Hiroshima 130 4.1 0.37 0.44 0.05 91 2.3 0.28 0.22 0.03*Japan, Miyagi Prefecture 258 3.2 0.21 0.34 0.02 167 1.8 0.16 0.17 0.02*Japan, Nagasaki Prefecture 184 3.5 0.30 0.33 0.03 145 2.2 0.23 0.21 0.02*Japan, Osaka Prefecture 883 3.2 0.12 0.32 0.01 594 2.1 0.10 0.18 0.01*Japan, Saga Prefecture 112 3.5 0.36 0.36 0.04 87 2.3 0.29 0.23 0.03*Japan, Yamagata Prefecture 159 3.1 0.27 0.30 0.03 118 2.4 0.28 0.23 0.02*Korea, Busan 85 2.2 0.26 0.21 0.03 51 1.2 0.18 0.11 0.02*Korea, Daegu 47 1.9 0.29 0.18 0.03 56 2.3 0.32 0.19 0.03*Korea, Kangwha County 7 3.2 1.24 0.33 0.13 6 2.4 1.01 0.26 0.11*Korea, Seoul 769 3.2 0.13 0.32 0.02 626 2.4 0.10 0.23 0.01*Kuwait: Kuwaitis 18 1.9 0.49 0.18 0.06 19 2.4 0.60 0.28 0.08*Kuwait: Non-Kuwaitis 46 2.1 0.74 0.15 0.05 23 3.0 0.89 0.35 0.12*Oman: Omani 37 1.6 0.28 0.20 0.05 40 1.6 0.29 0.16 0.04*Pakistan, South Karachi 38 2.0 0.37 0.21 0.05 43 2.7 0.45 0.25 0.05*Philippines, Manila 260 2.9 0.21 0.28 0.03 253 2.5 0.18 0.25 0.02*Philippines, Rizal 256 2.7 0.20 0.28 0.03 233 2.4 0.18 0.25 0.03 Singapore: Chinese 189 3.4 0.26 0.35 0.03 149 2.4 0.21 0.23 0.02 Singapore: Indian 14 2.4 0.67 0.20 0.06 9 2.0 0.75 0.15 0.06 Singapore: Malay 35 4.1 0.71 0.44 0.09 21 2.4 0.54 0.21 0.06*Thailand, Bangkok 94 1.3 0.14 0.12 0.02 89 1.0 0.12 0.09 0.01*Thailand, Chiang Mai 65 1.8 0.23 0.19 0.03 69 1.8 0.23 0.17 0.02*Thailand, Khon Kaen 56 1.5 0.21 0.13 0.02 56 1.4 0.19 0.12 0.02*Thailand, Lampang 42 1.9 0.31 0.15 0.03 30 1.4 0.26 0.12 0.03*Thailand, Songkhla 39 1.8 0.30 0.18 0.04 40 1.8 0.30 0.20 0.04*Viet Nam, Hanoi 86 1.7 0.18 - - 82 1.5 0.17 - - *Viet Nam, Ho Chi Minh City 188 2.3 0.18 0.20 0.02 170 1.8 0.14 0.16 0.02

Europe Austria, Tyrol 100 5.1 0.53 0.52 0.06 109 3.7 0.39 0.41 0.05 Austria, Vorarlberg 22 2.2 0.48 0.23 0.06 40 3.1 0.54 0.30 0.06

+*Belarus 916 3.3 0.11 0.38 0.01 935 2.4 0.08 0.27 0.01*Belgium, Flanders, (excl. Limburg) 291 3.7 0.23 0.40 0.03 239 2.8 0.21 0.29 0.02*Belgium, Limburg 41 3.8 0.60 0.41 0.07 24 1.7 0.37 0.21 0.05*Croatia 477 3.3 0.16 0.37 0.02 464 2.4 0.13 0.28 0.02 Czech Republic 745 2.4 0.09 0.26 0.01 708 1.8 0.08 0.17 0.01 Denmark 745 3.9 0.15 0.41 0.02 661 2.9 0.13 0.30 0.01 Estonia 120 2.9 0.27 0.36 0.04 145 2.3 0.21 0.26 0.02 Finland 475 2.8 0.14 0.26 0.02 489 2.2 0.12 0.22 0.01 France, Bas-Rhin 146 4.7 0.41 0.50 0.05 111 2.9 0.30 0.30 0.03

† *France, Calvados 36 1.7 0.30 0.21 0.04 33 1.5 0.28 0.14 0.03 France, Cote d’Or 80 4.9 0.61 0.43 0.06 86 3.8 0.47 0.35 0.05 France, Doubs 87 5.2 0.58 0.50 0.07 61 2.9 0.42 0.30 0.05 France, Haut-Rhin 102 4.8 0.49 0.52 0.06 105 3.7 0.41 0.38 0.05*France, Herault 113 3.9 0.40 0.39 0.04 89 2.9 0.35 0.30 0.04 France, Isere 139 4.1 0.36 0.41 0.04 110 2.6 0.29 0.23 0.03*France, Manche 59 4.4 0.61 0.41 0.06 52 3.0 0.48 0.30 0.05*France, Somme 56 3.3 0.47 0.33 0.05 52 2.5 0.38 0.25 0.04 France, Tarn 56 3.5 0.54 0.37 0.06 49 3.0 0.51 0.30 0.05 Germany, Saarland 182 4.7 0.39 0.50 0.04 174 3.5 0.33 0.35 0.03 Iceland 31 3.8 0.71 0.48 0.10 26 2.7 0.57 0.23 0.06 Ireland 269 3.1 0.19 0.34 0.03 228 2.5 0.18 0.25 0.02 Italy, Biella Province 21 5.6 1.59 0.42 0.11 21 3.0 0.80 0.33 0.09 Italy, Ferrara Province 59 3.5 0.64 0.33 0.06 53 2.4 0.40 0.27 0.05*Italy, Florence 158 3.3 0.29 0.35 0.03 146 2.4 0.28 0.24 0.03 Italy, Genoa Province 124 3.9 0.44 0.38 0.04 115 2.3 0.27 0.24 0.03 Italy, Liguria Italy, Macerata Province 39 3.3 0.66 0.28 0.06 28 1.8 0.40 0.21 0.05 Italy, Modena Province 121 4.2 0.42 0.44 0.05 86 2.7 0.33 0.30 0.04 Italy, North East 204 4.0 0.31 0.41 0.04 197 3.1 0.30 0.29 0.03

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rates and standard errorsMyeloid leukaemia (C92-94) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 76 4.3 0.58 0.43 0.06 68 2.9 0.46 0.28 0.05*Italy, Ragusa Province 34 3.2 0.60 0.36 0.07 23 1.9 0.45 0.19 0.05 Italy, Romagna 225 4.7 0.36 0.54 0.04 150 2.5 0.24 0.26 0.03 Italy, Sassari 79 4.4 0.52 0.47 0.07 59 2.6 0.37 0.23 0.04 Italy, Torino 129 3.2 0.30 0.38 0.04 130 3.2 0.37 0.29 0.03 Italy, Umbria 114 5.0 0.56 0.48 0.06 72 2.6 0.38 0.27 0.04 Italy, Varese Province 155 5.0 0.43 0.54 0.05 103 2.6 0.30 0.25 0.03 Italy, Venetian Region 242 4.0 0.28 0.41 0.03 205 2.7 0.25 0.25 0.02*Latvia 262 3.8 0.24 0.46 0.03 273 2.7 0.19 0.28 0.02 Lithuania 348 3.4 0.18 0.39 0.02 391 2.6 0.14 0.29 0.02 Malta 53 4.6 0.66 0.57 0.09 43 3.3 0.53 0.35 0.06 The Netherlands 1935 3.8 0.09 0.39 0.01 1494 2.4 0.07 0.25 0.01 The Netherlands, Eindhoven 126 4.4 0.42 0.43 0.04 85 2.7 0.31 0.25 0.03 The Netherlands, Maastricht 102 3.5 0.37 0.36 0.04 80 1.9 0.24 0.21 0.03 Norway 526 3.3 0.16 0.36 0.02 436 2.3 0.13 0.23 0.01*Poland, Cracow 45 2.5 0.42 0.21 0.04 47 2.1 0.37 0.18 0.03*Poland, Kielce 71 2.5 0.31 0.30 0.04 51 1.5 0.22 0.17 0.03*Poland, Lower Silesia 287 3.6 0.22 0.41 0.03 267 2.6 0.18 0.28 0.02 Poland, Warsaw City 146 2.8 0.25 0.28 0.03 166 2.3 0.22 0.23 0.02*Portugal, Vila Nova de Gaia 15 2.5 0.72 0.25 0.07 17 2.1 0.53 0.21 0.05*Russia, St Petersburg 242 2.5 0.17 0.25 0.02 297 1.9 0.14 0.20 0.01 Slovakia 472 3.2 0.15 0.34 0.02 425 2.3 0.12 0.24 0.01 Slovenia 170 2.9 0.23 0.30 0.03 136 1.7 0.15 0.17 0.02 Spain, Albacete 57 4.5 0.65 0.47 0.07 27 2.2 0.53 0.20 0.05 Spain, Asturias 94 2.9 0.32 0.31 0.04 84 2.3 0.32 0.21 0.03*Spain, Canary Islands 70 3.0 0.37 0.30 0.04 95 3.5 0.38 0.34 0.04 Spain, Cuenca 23 2.7 0.63 0.31 0.07 21 2.9 0.72 0.29 0.07 Spain, Girona 37 2.9 0.50 0.33 0.06 25 1.8 0.41 0.15 0.04 Spain, Granada 93 3.5 0.38 0.38 0.05 67 2.3 0.32 0.20 0.03 Spain, Mallorca 68 3.7 0.50 0.37 0.06 49 3.0 0.51 0.26 0.04 Spain, Murcia 117 4.2 0.40 0.44 0.05 78 2.7 0.35 0.24 0.03 Spain, Navarra 64 3.0 0.41 0.30 0.05 38 1.6 0.30 0.18 0.04 Spain, Tarragona 73 3.4 0.46 0.35 0.05 65 2.9 0.45 0.27 0.04*Spain, Zaragoza 81 2.4 0.28 0.29 0.04 79 2.2 0.30 0.22 0.03 Sweden 1075 3.1 0.10 0.33 0.01 1006 2.6 0.10 0.27 0.01 Switzerland, Basel 89 5.4 0.62 0.60 0.08 70 3.7 0.54 0.42 0.06 Switzerland, Geneva 51 3.2 0.48 0.37 0.07 50 2.7 0.45 0.23 0.05 Switzerland, Graubunden and Glarus 25 3.5 0.76 0.35 0.08 22 2.9 0.72 0.26 0.07 Switzerland, Neuchatel 14 3.0 0.83 0.27 0.09 14 2.5 0.72 0.28 0.09 Switzerland, St Gall-Appenzell 57 3.0 0.43 0.28 0.05 49 2.3 0.39 0.20 0.04*Switzerland, Ticino 17 3.3 0.83 0.32 0.10 14 2.1 0.64 0.29 0.09 Switzerland, Valais 43 5.0 0.80 0.54 0.10 24 2.1 0.47 0.19 0.05 Switzerland, Vaud 54 3.5 0.51 0.41 0.06 52 2.8 0.48 0.27 0.05 Switzerland, Zurich 139 4.5 0.43 0.43 0.05 110 2.5 0.29 0.25 0.03*UK, England 6616 3.7 0.05 0.37 0.01 5877 2.6 0.04 0.25 0.00 UK, England, East Anglia 302 3.5 0.22 0.39 0.03 247 2.5 0.18 0.26 0.02 UK, England, Merseyside and Cheshire 284 3.2 0.21 0.32 0.02 257 2.4 0.18 0.23 0.02 UK, England, North Western 529 3.7 0.17 0.38 0.02 449 2.6 0.15 0.25 0.02 UK, England, Oxford Region 402 4.4 0.23 0.46 0.03 350 3.2 0.20 0.31 0.02*UK, England, South Thames 1000 3.9 0.14 0.39 0.02 958 2.9 0.11 0.29 0.01*UK, England, South and Western Regions 1184 4.5 0.14 0.45 0.02 996 3.1 0.13 0.29 0.01 UK, England, Trent 661 3.6 0.15 0.36 0.02 556 2.5 0.13 0.25 0.01*UK, England, West Midlands Region 671 3.4 0.14 0.34 0.02 643 2.8 0.13 0.28 0.01 UK, England, Yorkshire 448 3.3 0.17 0.32 0.02 432 2.6 0.15 0.25 0.02 UK, Northern Ireland 198 3.8 0.28 0.38 0.03 153 2.6 0.24 0.24 0.02 UK, Scotland 660 3.7 0.15 0.39 0.02 615 2.7 0.13 0.27 0.01*Yugoslavia, Vojvodina 106 1.5 0.16 0.18 0.02 90 1.0 0.12 0.12 0.01

Oceania Australia, Capital Territory 34 4.6 0.81 0.42 0.10 27 3.4 0.67 0.41 0.10 Australia, New South Wales 1057 5.2 0.17 0.52 0.02 835 3.5 0.13 0.35 0.02 Australia, Northern Territory 13 3.7 1.14 0.52 0.21 16 5.7 1.55 0.63 0.24 Australia, Queensland 605 5.7 0.24 0.61 0.03 454 3.9 0.20 0.38 0.02 Australia, South 283 5.2 0.33 0.52 0.04 215 3.7 0.29 0.35 0.03 Australia, Tasmania 78 4.9 0.58 0.48 0.07 54 3.3 0.50 0.32 0.05 Australia, Victoria 666 4.5 0.18 0.46 0.02 558 3.0 0.14 0.29 0.02 Australia, Western 196 3.9 0.29 0.42 0.04 173 3.0 0.25 0.28 0.03 New Zealand 562 5.0 0.22 0.49 0.03 481 3.7 0.19 0.37 0.02 USA, Hawaii: White 48 5.1 0.77 0.47 0.09 26 2.7 0.57 0.34 0.08 USA, Hawaii: Chinese 11 5.2 1.85 0.46 0.17 10 3.8 1.72 0.27 0.12 USA, Hawaii: Filipino 46 8.5 1.35 0.86 0.16 21 4.2 0.96 0.44 0.11 USA, Hawaii: Hawaiian 18 3.3 0.81 0.35 0.11 18 3.6 0.86 0.40 0.11 USA, Hawaii: Japanese 41 3.1 0.56 0.33 0.07 25 2.6 0.74 0.18 0.05

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rates and standard errorsLeukaemia unspecified (C95)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 18 0.4 0.09 0.04 0.01 14 0.3 0.08 0.02 0.01*France, La Reunion 5 1.0 0.46 0.13 0.07 1 0.1 0.10 - - *The Gambia 3 0.2 0.11 - - 3 0.4 0.26 - - *Mali, Bamako 0 - - - - 0 - - - - *Uganda, Kyadondo County 9 0.4 0.17 0.04 0.01 10 0.5 0.19 0.02 0.01*Zimbabwe, Harare: African 6 0.4 0.22 0.03 0.02 5 0.3 0.15 0.03 0.02

America, Central and South*Argentina, Bahia Blanca 14 1.3 0.36 0.23 0.06 16 1.0 0.27 0.12 0.04*Argentina, Concordia 3 0.9 0.55 0.06 0.06 3 0.7 0.42 0.04 0.03*Brazil, Campinas 5 0.3 0.12 0.03 0.01 1 0.0 0.05 0.00 0.00*Brazil, Goiania 8 0.6 0.22 0.04 0.02 5 0.4 0.16 0.06 0.03 Colombia, Cali 118 3.8 0.36 0.41 0.05 110 2.9 0.29 0.30 0.04*Costa Rica 29 1.0 0.20 0.09 0.03 32 1.1 0.21 0.14 0.03*Cuba, Villa Clara 12 0.7 0.20 0.06 0.02 8 0.5 0.17 0.04 0.02*Ecuador, Quito 7 0.3 0.12 0.03 0.01 15 0.4 0.12 0.03 0.01*France, Martinique 1 0.1 0.08 0.02 0.02 0 - - - - *USA, Puerto Rico 35 0.8 0.15 0.09 0.02 33 0.7 0.13 0.07 0.02*Uruguay, Montevideo 29 1.2 0.23 0.11 0.03 33 0.9 0.18 0.09 0.02

America, North Canada 743 0.7 0.03 0.07 0.00 716 0.5 0.02 0.05 0.00 Canada, Alberta 30 0.4 0.07 0.04 0.01 26 0.2 0.05 0.01 0.01 Canada, British Columbia 90 0.6 0.07 0.06 0.01 68 0.3 0.05 0.03 0.01 Canada, Manitoba 13 0.2 0.07 0.01 0.01 17 0.2 0.07 0.03 0.01 Canada, New Brunswick 17 0.6 0.15 0.05 0.02 18 0.4 0.12 0.03 0.01 Canada, Newfoundland 3 0.2 0.16 0.01 0.01 2 0.1 0.06 0.01 0.01 Canada, Northwest Territories 3 1.0 0.62 0.02 0.02 1 0.4 0.40 - - Canada, Nova Scotia 31 1.0 0.18 0.09 0.02 40 1.1 0.19 0.11 0.02 Canada, Ontario 302 0.8 0.05 0.07 0.01 319 0.6 0.04 0.05 0.00 Canada, Prince Edward Island 1 0.2 0.15 - - 0 - - - - +Canada, Quebec 243 1.1 0.07 0.11 0.01 215 0.7 0.05 0.08 0.01 Canada, Saskatchewan 11 0.3 0.09 0.02 0.01 10 0.2 0.09 0.02 0.01 Canada, Yukon 2 1.2 0.91 0.05 0.05 0 - - - - USA, California, Los Angeles: Non-Hispanic White 82 0.5 0.06 0.04 0.01 63 0.3 0.06 0.03 0.01 USA, California, Los Angeles: Hispanic White 18 0.4 0.11 0.06 0.02 24 0.4 0.09 0.03 0.01 USA, California, Los Angeles: Black 10 0.4 0.13 0.04 0.02 20 0.5 0.11 0.05 0.02 USA, California, Los Angeles: Chinese 3 0.4 0.25 0.03 0.02 5 0.4 0.19 0.04 0.03 USA, California, Los Angeles: Filipino 4 0.6 0.29 0.03 0.02 5 0.4 0.19 0.03 0.02 USA, California, Los Angeles: Japanese 5 0.9 0.42 0.06 0.04 0 - - - - USA, California, Los Angeles: Korean 1 0.3 0.26 0.06 0.06 3 0.6 0.35 0.08 0.06 USA, California, San Francisco: Non-Hispanic White 46 0.5 0.08 0.04 0.01 53 0.4 0.07 0.03 0.01 USA, California, San Francisco: Hispanic White 5 0.4 0.19 0.03 0.03 4 0.4 0.19 0.04 0.02 USA, California, San Francisco: Black 6 0.5 0.20 0.05 0.03 4 0.3 0.19 0.03 0.02 USA, Connecticut: White 91 0.7 0.09 0.07 0.01 80 0.5 0.07 0.04 0.01 USA, Connecticut: Black 5 0.9 0.41 0.11 0.05 4 0.6 0.29 0.07 0.04 USA, Georgia, Atlanta: White 15 0.3 0.09 0.04 0.01 29 0.4 0.07 0.03 0.01 USA, Georgia, Atlanta: Black 5 0.4 0.18 0.00 0.00 8 0.3 0.11 0.02 0.02 USA, Iowa 78 0.6 0.07 0.05 0.01 64 0.3 0.05 0.03 0.01 USA, Louisiana, Central Region: White 2 0.3 0.22 0.04 0.03 7 0.7 0.27 0.11 0.05 USA, Louisiana, Central Region: Black 2 0.8 0.58 0.03 0.03 3 0.9 0.64 0.03 0.03 USA, Louisiana, New Orleans: White 17 0.7 0.19 0.08 0.03 21 1.0 0.27 0.08 0.02 USA, Louisiana, New Orleans: Black 4 0.5 0.23 0.07 0.05 6 0.4 0.16 0.04 0.03 USA, Michigan, Detroit: White 90 0.8 0.09 0.08 0.01 82 0.5 0.07 0.06 0.01 USA, Michigan, Detroit: Black 11 0.5 0.14 0.05 0.02 7 0.2 0.08 0.02 0.01 USA, New Jersey: White 202 0.8 0.06 0.07 0.01 190 0.5 0.04 0.05 0.01 USA, New Jersey: Black 13 0.5 0.14 0.06 0.02 17 0.5 0.12 0.06 0.02 USA, New Mexico: Non-Hispanic White 18 0.4 0.11 0.04 0.01 21 0.4 0.09 0.02 0.01 USA, New Mexico: Hispanic White 9 0.6 0.19 0.05 0.03 9 0.4 0.14 0.02 0.01 USA, New Mexico: American Indian 1 0.2 0.21 0.01 0.01 0 - - - - USA, New York State: White 473 0.8 0.04 0.07 0.01 468 0.5 0.03 0.05 0.00 USA, New York State: Black 46 0.7 0.10 0.08 0.01 52 0.5 0.07 0.05 0.01 USA, Utah 36 0.6 0.11 0.05 0.01 32 0.5 0.09 0.05 0.01 USA, Washington, Seattle 65 0.5 0.07 0.06 0.01 58 0.3 0.04 0.02 0.01 USA, SEER: White 451 0.6 0.03 0.06 0.00 431 0.4 0.02 0.04 0.00 USA, SEER: Black 31 0.5 0.09 0.05 0.01 23 0.3 0.06 0.02 0.01

Asia*China, Beijing 95 1.3 0.14 0.12 0.01 52 0.7 0.11 0.07 0.01

+*China, Changle *China, Cixian *China, Hong Kong 91 0.5 0.05 0.05 0.01 82 0.4 0.05 0.04 0.01*China, Jiashan 28 3.4 0.69 0.29 0.06 14 1.3 0.36 0.11 0.03

+*China, Qidong County 33 1.1 0.21 0.10 0.02 26 0.9 0.19 0.08 0.02+*China, Shanghai 259 1.3 0.09 0.12 0.01 213 1.0 0.09 0.10 0.01

*China, Taiwan 61 0.6 0.07 0.05 0.01 47 0.4 0.06 0.03 0.01*China, Tianjin 277 2.8 0.19 0.27 0.02 185 2.0 0.18 0.17 0.01+China, Wuhan 93 1.0 0.11 0.09 0.01 51 0.5 0.07 0.04 0.01

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rates and standard errorsLeukaemia unspecified (C95) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 8 0.1 0.04 0.01 0.00 8 0.1 0.05 0.01 0.01*India, Bangalore 38 0.3 0.05 0.02 0.00 30 0.3 0.06 0.03 0.01 India, Chennai (Madras) 47 0.6 0.08 0.05 0.01 24 0.3 0.06 0.03 0.01*India, Delhi 79 0.4 0.05 0.03 0.01 40 0.2 0.04 0.02 0.00*India, Karunagappally 3 0.3 0.19 0.04 0.02 2 0.2 0.15 0.02 0.01 India, Mumbai (Bombay) 118 0.5 0.05 0.05 0.01 93 0.5 0.06 0.05 0.01*India, Nagpur 14 0.5 0.14 0.04 0.01 11 0.5 0.18 0.06 0.03*India, Poona 28 0.5 0.11 0.06 0.02 18 0.3 0.09 0.04 0.01*India, Trivandrum 11 0.5 0.14 0.04 0.01 7 0.3 0.10 0.02 0.01 Israel: Jews 131 1.0 0.09 0.09 0.01 111 0.6 0.07 0.06 0.01 Israel: Jews born in Israel 47 1.2 0.27 0.11 0.04 19 0.8 0.22 0.08 0.03 Israel: Jews born in Europe or America 59 0.8 0.15 0.08 0.01 66 0.6 0.09 0.06 0.01 Israel: Jews born in Africa or Asia 25 1.0 0.41 0.09 0.03 26 0.5 0.11 0.05 0.01 Israel: Non-Jews 19 1.2 0.30 0.14 0.05 19 0.8 0.21 0.05 0.02 Japan, Hiroshima 13 0.4 0.10 0.03 0.01 8 0.2 0.08 0.02 0.01*Japan, Miyagi Prefecture 31 0.4 0.07 0.03 0.01 32 0.4 0.09 0.03 0.01*Japan, Nagasaki Prefecture 27 0.4 0.08 0.04 0.01 27 0.3 0.06 0.03 0.01*Japan, Osaka Prefecture 155 0.6 0.05 0.05 0.01 127 0.4 0.05 0.03 0.00*Japan, Saga Prefecture 8 0.2 0.10 0.02 0.01 11 0.2 0.08 0.01 0.00*Japan, Yamagata Prefecture 23 0.5 0.12 0.05 0.01 12 0.3 0.13 0.03 0.01*Korea, Busan 14 0.5 0.15 0.05 0.02 8 0.2 0.07 0.01 0.01*Korea, Daegu 20 0.8 0.19 0.07 0.02 17 0.7 0.19 0.05 0.01*Korea, Kangwha County 1 0.5 0.50 0.04 0.04 5 1.8 0.87 0.15 0.08*Korea, Seoul 332 1.6 0.10 0.16 0.01 313 1.3 0.08 0.12 0.01*Kuwait: Kuwaitis 12 1.3 0.43 0.15 0.07 8 0.7 0.31 0.09 0.06*Kuwait: Non-Kuwaitis 12 0.9 0.35 0.09 0.05 6 2.2 1.02 0.14 0.14*Oman: Omani 18 0.6 0.17 0.06 0.02 11 0.3 0.11 0.03 0.02*Pakistan, South Karachi 10 0.5 0.19 0.06 0.02 4 0.1 0.06 0.01 0.00*Philippines, Manila 160 1.7 0.16 0.16 0.02 156 1.5 0.13 0.14 0.02*Philippines, Rizal 152 1.4 0.13 0.12 0.01 137 1.2 0.12 0.11 0.01 Singapore: Chinese 30 0.5 0.10 0.06 0.01 30 0.5 0.10 0.04 0.01 Singapore: Indian 4 0.7 0.35 0.08 0.05 1 0.3 0.32 - - Singapore: Malay 8 0.9 0.32 0.12 0.05 11 1.4 0.43 0.13 0.05*Thailand, Bangkok 71 0.9 0.12 0.09 0.02 60 0.7 0.09 0.07 0.01*Thailand, Chiang Mai 35 1.0 0.17 0.07 0.01 26 0.7 0.15 0.07 0.02*Thailand, Khon Kaen 53 1.4 0.20 0.12 0.02 53 1.3 0.19 0.12 0.02*Thailand, Lampang 29 1.4 0.26 0.12 0.03 22 1.1 0.24 0.09 0.02*Thailand, Songkhla 15 0.6 0.17 0.05 0.01 8 0.4 0.13 0.02 0.01*Viet Nam, Hanoi 91 1.9 0.20 - - 64 1.2 0.15 - - *Viet Nam, Ho Chi Minh City 22 0.2 0.06 0.02 0.01 30 0.4 0.07 0.03 0.01

Europe Austria, Tyrol 9 0.4 0.14 0.04 0.02 7 0.1 0.06 0.01 0.01 Austria, Vorarlberg 2 0.2 0.15 0.02 0.02 4 0.2 0.09 0.02 0.02

+*Belarus 121 0.5 0.04 0.05 0.00 139 0.4 0.04 0.04 0.00*Belgium, Flanders, (excl. Limburg) 38 0.5 0.10 0.05 0.01 41 0.3 0.06 0.03 0.01*Belgium, Limburg 3 0.3 0.15 0.02 0.02 3 0.3 0.17 0.03 0.02*Croatia 93 0.6 0.06 0.05 0.01 69 0.3 0.04 0.03 0.01 Czech Republic 1034 3.1 0.10 0.32 0.01 1002 1.9 0.07 0.20 0.01 Denmark 51 0.3 0.04 0.02 0.00 44 0.2 0.04 0.01 0.00 Estonia 38 1.0 0.18 0.10 0.02 39 0.6 0.12 0.06 0.01 Finland 49 0.3 0.05 0.03 0.00 51 0.2 0.04 0.02 0.00 France, Bas-Rhin 9 0.3 0.10 0.04 0.02 5 0.1 0.06 0.01 0.01

† *France, Calvados 5 0.2 0.09 0.02 0.01 1 0.1 0.07 0.01 0.01 France, Cote d’Or 0 - - - - 2 0.1 0.06 0.02 0.01 France, Doubs 9 0.6 0.20 0.04 0.02 1 0.0 0.02 - - France, Haut-Rhin 8 0.4 0.13 0.04 0.02 13 0.4 0.12 0.04 0.02*France, Herault 2 0.0 0.04 0.00 0.00 1 0.0 0.03 0.00 0.00 France, Isere 8 0.2 0.09 0.02 0.01 9 0.2 0.09 0.01 0.01*France, Manche 4 0.3 0.14 0.03 0.02 2 0.1 0.05 0.02 0.01*France, Somme 5 0.2 0.11 0.03 0.02 4 0.2 0.09 0.02 0.01 France, Tarn 1 0.0 0.03 - - 1 0.1 0.08 0.01 0.01 Germany, Saarland 14 0.4 0.12 0.03 0.01 20 0.3 0.09 0.02 0.01 Iceland 1 0.1 0.09 - - 1 0.0 0.05 - - Ireland 81 0.8 0.10 0.08 0.01 52 0.5 0.07 0.05 0.01 Italy, Biella Province 1 0.2 0.15 0.04 0.04 1 0.2 0.20 0.02 0.02 Italy, Ferrara Province 9 0.4 0.13 0.06 0.02 12 0.9 0.50 0.07 0.03*Italy, Florence 48 0.8 0.12 0.08 0.02 47 0.5 0.11 0.05 0.01 Italy, Genoa Province 28 0.7 0.14 0.05 0.02 21 0.4 0.12 0.05 0.01 Italy, Liguria Italy, Macerata Province 16 1.3 0.34 0.14 0.04 14 0.6 0.20 0.06 0.02 Italy, Modena Province 3 0.2 0.12 0.01 0.01 5 0.1 0.03 0.01 0.01 Italy, North East 20 0.4 0.11 0.03 0.01 23 0.4 0.11 0.03 0.01

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rates and standard errorsLeukaemia unspecified (C95) (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 25 1.3 0.27 0.14 0.03 23 0.9 0.27 0.08 0.02*Italy, Ragusa Province 13 1.1 0.34 0.11 0.04 6 0.6 0.31 0.04 0.02 Italy, Romagna 27 0.5 0.09 0.04 0.01 28 0.4 0.10 0.03 0.01 Italy, Sassari 4 0.2 0.09 0.01 0.01 1 0.0 0.02 - - Italy, Torino 36 0.9 0.15 0.10 0.02 52 1.0 0.17 0.11 0.02 Italy, Umbria 22 0.7 0.17 0.09 0.02 8 0.2 0.07 0.01 0.01 Italy, Varese Province 11 0.3 0.08 0.01 0.01 4 0.1 0.03 0.01 0.01 Italy, Venetian Region 47 0.7 0.11 0.06 0.01 41 0.4 0.08 0.04 0.01*Latvia 29 0.4 0.09 0.04 0.01 23 0.2 0.04 0.02 0.01 Lithuania 88 0.9 0.10 0.10 0.01 109 0.7 0.07 0.08 0.01 Malta 1 0.1 0.09 - - 2 0.1 0.09 0.01 0.01 The Netherlands 103 0.2 0.02 0.02 0.00 94 0.1 0.02 0.01 0.00 The Netherlands, Eindhoven 5 0.2 0.07 0.02 0.01 3 0.1 0.04 0.00 0.00 The Netherlands, Maastricht 9 0.3 0.09 0.04 0.01 6 0.2 0.10 0.02 0.01 Norway 170 1.0 0.08 0.10 0.01 128 0.5 0.06 0.06 0.01*Poland, Cracow 17 0.7 0.18 0.09 0.03 12 0.4 0.16 0.01 0.01*Poland, Kielce 2 0.1 0.05 0.01 0.01 6 0.1 0.06 0.01 0.01*Poland, Lower Silesia 46 0.6 0.09 0.06 0.01 34 0.3 0.06 0.04 0.01 Poland, Warsaw City 17 0.3 0.07 0.03 0.01 23 0.2 0.05 0.02 0.01*Portugal, Vila Nova de Gaia 1 0.1 0.09 - - 4 0.5 0.26 0.05 0.02*Russia, St Petersburg 88 0.8 0.09 0.09 0.01 125 0.7 0.08 0.07 0.01 Slovakia 45 0.3 0.04 0.03 0.01 57 0.3 0.04 0.03 0.00 Slovenia 11 0.2 0.06 0.02 0.01 13 0.1 0.04 0.01 0.00 Spain, Albacete 7 0.4 0.17 0.06 0.03 8 0.4 0.19 0.04 0.02 Spain, Asturias 33 1.3 0.30 0.11 0.02 30 1.0 0.27 0.08 0.02*Spain, Canary Islands 9 0.4 0.12 0.05 0.02 9 0.3 0.12 0.03 0.01 Spain, Cuenca 6 0.4 0.21 0.05 0.03 6 0.5 0.30 0.05 0.03 Spain, Girona 15 1.2 0.34 0.10 0.03 16 0.6 0.18 0.07 0.03 Spain, Granada 16 0.5 0.13 0.04 0.02 13 0.3 0.10 0.04 0.01 Spain, Mallorca 12 0.5 0.14 0.02 0.01 9 0.2 0.10 0.00 0.01 Spain, Murcia 19 0.7 0.19 0.05 0.02 14 0.4 0.13 0.03 0.01 Spain, Navarra 23 1.1 0.24 0.14 0.03 15 0.6 0.22 0.03 0.02 Spain, Tarragona 29 0.9 0.17 0.10 0.03 27 0.6 0.15 0.05 0.02*Spain, Zaragoza 14 0.4 0.10 0.04 0.01 24 0.6 0.14 0.05 0.01 Sweden 123 0.3 0.03 0.03 0.00 95 0.2 0.03 0.02 0.00 Switzerland, Basel 2 0.3 0.22 0.01 0.01 8 0.5 0.25 0.03 0.02 Switzerland, Geneva 8 0.4 0.16 0.04 0.02 0 - - - - Switzerland, Graubunden and Glarus 1 0.1 0.06 - - 2 0.1 0.09 0.02 0.02 Switzerland, Neuchatel 0 - - - - 0 - - - - Switzerland, St Gall-Appenzell 4 0.1 0.08 0.01 0.01 4 0.3 0.21 0.01 0.01*Switzerland, Ticino 1 0.2 0.21 0.03 0.03 3 0.6 0.33 0.08 0.05 Switzerland, Valais 2 0.1 0.09 - - 2 0.1 0.09 0.02 0.02 Switzerland, Vaud 6 0.3 0.12 0.02 0.01 2 0.1 0.07 0.01 0.01 Switzerland, Zurich 2 0.0 0.03 - - 1 0.0 0.03 0.00 0.00*UK, England 572 0.3 0.01 0.03 0.00 545 0.2 0.01 0.02 0.00 UK, England, East Anglia 16 0.2 0.05 0.02 0.01 23 0.1 0.04 0.01 0.00 UK, England, Merseyside and Cheshire 32 0.4 0.07 0.03 0.01 30 0.2 0.05 0.02 0.01 UK, England, North Western 198 1.4 0.11 0.14 0.01 186 1.0 0.08 0.12 0.01 UK, England, Oxford Region 21 0.2 0.05 0.02 0.01 28 0.2 0.05 0.02 0.01*UK, England, South Thames 69 0.2 0.03 0.03 0.00 89 0.2 0.03 0.02 0.00*UK, England, South and Western Regions 108 0.4 0.04 0.04 0.00 84 0.2 0.03 0.02 0.00 UK, England, Trent 44 0.2 0.04 0.02 0.00 44 0.2 0.04 0.01 0.00*UK, England, West Midlands Region 77 0.3 0.04 0.03 0.01 65 0.2 0.04 0.02 0.00 UK, England, Yorkshire 24 0.1 0.03 0.01 0.00 29 0.1 0.02 0.01 0.00 UK, Northern Ireland 28 0.6 0.11 0.05 0.01 28 0.4 0.09 0.05 0.01 UK, Scotland 69 0.3 0.04 0.02 0.00 91 0.3 0.04 0.03 0.00*Yugoslavia, Vojvodina 29 0.4 0.08 0.06 0.01 23 0.4 0.09 0.04 0.01

Oceania Australia, Capital Territory 2 0.3 0.22 0.06 0.05 3 0.3 0.16 - - Australia, New South Wales 86 0.4 0.04 0.04 0.01 82 0.3 0.04 0.02 0.00 Australia, Northern Territory 0 - - - - 0 - - - - Australia, Queensland 45 0.4 0.06 0.03 0.01 35 0.2 0.04 0.03 0.01 Australia, South 7 0.1 0.05 0.01 0.01 7 0.1 0.03 0.00 0.00 Australia, Tasmania 3 0.1 0.08 0.01 0.01 2 0.1 0.07 0.01 0.01 Australia, Victoria 48 0.3 0.04 0.02 0.01 57 0.3 0.04 0.02 0.00 Australia, Western 31 0.5 0.10 0.05 0.01 26 0.4 0.08 0.03 0.01 New Zealand 43 0.4 0.06 0.03 0.01 45 0.3 0.04 0.02 0.01 USA, Hawaii: White 4 0.3 0.14 0.02 0.02 2 0.2 0.17 0.03 0.02 USA, Hawaii: Chinese 0 - - - - 1 0.5 0.47 0.04 0.04 USA, Hawaii: Filipino 4 0.4 0.24 0.07 0.05 3 0.8 0.48 0.06 0.04 USA, Hawaii: Hawaiian 1 0.2 0.20 0.05 0.05 4 0.6 0.32 0.04 0.04 USA, Hawaii: Japanese 11 0.7 0.24 0.06 0.03 6 0.2 0.07 - -

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rates and standard errorsOther and unspecified

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 223 5.5 0.39 0.59 0.05 145 3.5 0.30 0.36 0.04*France, La Reunion 44 8.7 1.33 0.91 0.17 28 4.2 0.83 0.40 0.10*The Gambia 26 5.4 1.17 - - 26 4.5 1.04 - - *Mali, Bamako 20 2.3 0.59 0.15 0.04 20 3.8 0.92 0.52 0.15*Uganda, Kyadondo County 93 9.1 1.23 1.07 0.18 84 7.1 1.00 0.73 0.13*Zimbabwe, Harare: African 102 7.3 0.91 0.95 0.16 88 8.2 1.11 1.01 0.18

America, Central and South*Argentina, Bahia Blanca 139 13.0 1.12 1.33 0.14 123 8.1 0.78 0.90 0.11*Argentina, Concordia 75 24.5 2.83 2.92 0.40 57 14.5 1.97 1.68 0.27*Brazil, Campinas 148 9.5 0.79 1.01 0.11 144 7.1 0.60 0.79 0.09*Brazil, Goiania 118 9.9 0.94 1.21 0.15 123 8.4 0.78 0.96 0.11 Colombia, Cali 319 11.5 0.66 1.28 0.09 387 11.7 0.61 1.48 0.09*Costa Rica 222 8.6 0.59 0.91 0.08 228 8.3 0.57 0.90 0.08*Cuba, Villa Clara 130 7.7 0.71 0.86 0.10 118 6.7 0.65 0.69 0.09*Ecuador, Quito 151 7.1 0.60 0.76 0.09 200 7.8 0.58 0.87 0.08*France, Martinique 71 6.5 0.80 0.78 0.11 92 6.0 0.68 0.62 0.09*USA, Puerto Rico 278 6.7 0.42 0.77 0.06 270 5.3 0.35 0.56 0.05*Uruguay, Montevideo 573 21.8 0.94 2.55 0.13 579 12.8 0.60 1.40 0.08

America, North Canada 11265 11.3 0.11 1.26 0.02 11218 8.3 0.09 0.88 0.01 Canada, Alberta 863 10.8 0.38 1.18 0.05 957 9.5 0.33 1.02 0.05 Canada, British Columbia 1399 10.0 0.28 1.14 0.04 1558 9.1 0.26 0.97 0.03 Canada, Manitoba 381 9.2 0.50 1.08 0.07 452 8.0 0.44 0.84 0.06 Canada, New Brunswick 265 10.2 0.65 1.17 0.09 260 7.4 0.52 0.83 0.07 Canada, Newfoundland 176 10.3 0.80 1.29 0.12 176 9.6 0.76 1.25 0.11 Canada, Northwest Territories 18 7.3 1.84 0.78 0.28 19 8.6 2.04 0.82 0.27 Canada, Nova Scotia 486 15.0 0.71 1.76 0.10 491 10.9 0.56 1.20 0.08 Canada, Ontario 4903 13.1 0.19 1.45 0.03 4251 8.1 0.14 0.84 0.02 Canada, Prince Edward Island 57 11.2 1.57 1.23 0.23 43 6.0 1.09 0.57 0.14+Canada, Quebec 2339 9.9 0.21 1.07 0.03 2593 7.8 0.17 0.80 0.02 Canada, Saskatchewan 384 9.4 0.52 1.00 0.07 424 8.0 0.46 0.88 0.06 Canada, Yukon 17 11.7 3.07 0.90 0.32 25 19.8 4.06 2.10 0.58 USA, California, Los Angeles: Non-Hispanic White 1571 10.5 0.28 1.15 0.04 1824 8.8 0.25 1.00 0.03 USA, California, Los Angeles: Hispanic White 376 10.5 0.56 1.16 0.09 414 8.1 0.41 0.86 0.06 USA, California, Los Angeles: Black 325 13.6 0.77 1.49 0.10 353 10.2 0.58 1.20 0.08 USA, California, Los Angeles: Chinese 37 4.5 0.78 0.33 0.09 47 4.8 0.73 0.57 0.11 USA, California, Los Angeles: Filipino 44 6.6 1.04 0.67 0.14 64 7.8 1.03 0.81 0.13 USA, California, Los Angeles: Japanese 33 6.2 1.15 0.59 0.13 32 4.3 0.82 0.55 0.12 USA, California, Los Angeles: Korean 28 7.6 1.59 0.70 0.18 30 5.3 1.01 0.39 0.11 USA, California, San Francisco: Non-Hispanic White 800 9.5 0.36 1.07 0.05 996 8.2 0.31 0.95 0.04 USA, California, San Francisco: Hispanic White 85 8.2 0.92 0.96 0.14 113 7.8 0.77 0.93 0.12 USA, California, San Francisco: Black 127 10.5 0.96 1.15 0.13 141 8.8 0.79 0.98 0.11 USA, Connecticut: White 1127 10.0 0.32 1.11 0.04 1303 7.9 0.26 0.86 0.04 USA, Connecticut: Black 79 13.8 1.58 1.58 0.22 75 8.9 1.07 0.99 0.15 USA, Georgia, Atlanta: White 419 10.2 0.51 1.20 0.08 419 7.1 0.38 0.81 0.06 USA, Georgia, Atlanta: Black 169 12.7 1.03 1.45 0.15 228 10.9 0.76 1.20 0.11 USA, Iowa 858 7.7 0.28 0.87 0.04 1032 6.2 0.23 0.69 0.03 USA, Louisiana, Central Region: White 81 10.7 1.25 1.14 0.16 77 8.3 1.08 0.92 0.14 USA, Louisiana, Central Region: Black 18 11.0 2.69 1.38 0.38 23 9.8 2.16 1.42 0.34 USA, Louisiana, New Orleans: White 221 10.5 0.73 1.21 0.10 244 7.1 0.54 0.79 0.07 USA, Louisiana, New Orleans: Black 125 15.8 1.43 1.91 0.21 115 8.5 0.83 0.85 0.12 USA, Michigan, Detroit: White 851 8.0 0.28 0.89 0.04 1083 6.9 0.24 0.77 0.03 USA, Michigan, Detroit: Black 257 10.4 0.67 1.21 0.09 322 8.7 0.52 0.92 0.07 USA, New Jersey: White 2346 9.3 0.20 1.04 0.03 3064 8.2 0.17 0.90 0.02 USA, New Jersey: Black 331 13.3 0.74 1.57 0.10 355 9.4 0.52 0.99 0.07 USA, New Mexico: Non-Hispanic White 319 9.2 0.54 0.99 0.07 287 6.3 0.42 0.67 0.06 USA, New Mexico: Hispanic White 131 8.2 0.73 0.85 0.10 125 6.3 0.59 0.61 0.08 USA, New Mexico: American Indian 15 6.5 1.72 0.71 0.24 30 7.7 1.49 0.64 0.19 USA, New York State: White 4471 8.5 0.13 0.94 0.02 5466 7.0 0.11 0.75 0.01 USA, New York State: Black 671 9.7 0.38 1.12 0.05 790 7.2 0.27 0.82 0.04 USA, Utah 371 7.3 0.39 0.83 0.06 423 6.4 0.34 0.69 0.05 USA, Washington, Seattle 840 6.8 0.25 0.74 0.04 1073 6.4 0.22 0.69 0.03 USA, SEER: White 5769 8.3 0.12 0.93 0.02 6816 6.9 0.10 0.77 0.01 USA, SEER: Black 688 11.6 0.45 1.33 0.06 817 9.5 0.35 1.02 0.05

Asia*China, Beijing 247 2.9 0.19 0.35 0.03 227 2.6 0.18 0.31 0.02

+*China, Changle *China, Cixian *China, Hong Kong 2305 12.3 0.26 1.46 0.04 1813 8.3 0.21 0.92 0.03*China, Jiashan 4 0.5 0.32 0.03 0.02 2 0.1 0.11 0.02 0.02

+*China, Qidong County 13 0.5 0.13 0.05 0.02 12 0.4 0.10 0.06 0.02+*China, Shanghai 1454 5.3 0.15 0.62 0.02 1321 4.9 0.14 0.56 0.02

*China, Taiwan 737 6.2 0.24 0.70 0.03 547 4.9 0.21 0.52 0.03*China, Tianjin 716 6.5 0.25 0.72 0.03 610 5.1 0.23 0.60 0.03+China, Wuhan 334 3.3 0.18 0.38 0.03 274 2.6 0.16 0.34 0.02

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rates and standard errorsOther and unspecified (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 1010 16.7 0.56 2.09 0.08 594 10.1 0.44 1.17 0.06*India, Bangalore 889 10.8 0.38 1.28 0.05 652 9.1 0.37 1.11 0.05 India, Chennai (Madras) 541 7.0 0.31 0.79 0.04 414 5.4 0.27 0.62 0.04*India, Delhi 2102 16.9 0.39 1.99 0.06 1411 13.1 0.37 1.49 0.05*India, Karunagappally 159 18.1 1.47 2.37 0.22 97 9.7 1.01 1.21 0.15 India, Mumbai (Bombay) 1271 7.3 0.22 0.92 0.03 899 6.1 0.21 0.73 0.03*India, Nagpur 360 18.2 1.00 2.06 0.13 192 10.3 0.78 1.11 0.10*India, Poona 260 6.2 0.41 0.73 0.06 204 5.1 0.37 0.57 0.05*India, Trivandrum 274 12.0 0.73 1.34 0.10 197 7.7 0.56 0.98 0.09 Israel: Jews 2107 15.2 0.35 1.71 0.05 2276 12.5 0.29 1.31 0.04 Israel: Jews born in Israel 230 11.8 0.94 1.36 0.13 221 10.7 0.85 1.04 0.11 Israel: Jews born in Europe or America 1322 17.1 0.64 1.97 0.07 1563 13.6 0.44 1.49 0.06 Israel: Jews born in Africa or Asia 555 13.9 0.64 1.49 0.08 492 13.0 2.31 1.16 0.11 Israel: Non-Jews 172 12.9 1.02 1.29 0.14 132 8.9 0.80 0.97 0.12 Japan, Hiroshima 129 3.8 0.35 0.42 0.05 108 2.5 0.28 0.24 0.03*Japan, Miyagi Prefecture 507 5.7 0.27 0.60 0.03 436 3.5 0.19 0.34 0.02*Japan, Nagasaki Prefecture 223 3.4 0.25 0.31 0.03 240 2.7 0.23 0.26 0.02*Japan, Osaka Prefecture 1235 4.1 0.12 0.41 0.02 1107 2.7 0.10 0.27 0.01*Japan, Saga Prefecture 130 3.4 0.34 0.33 0.04 106 1.9 0.25 0.18 0.03*Japan, Yamagata Prefecture 205 3.4 0.25 0.33 0.03 231 2.7 0.21 0.25 0.02*Korea, Busan 274 9.7 0.64 1.22 0.10 202 5.3 0.38 0.56 0.05*Korea, Daegu 116 6.7 0.67 0.77 0.10 90 3.8 0.41 0.47 0.06*Korea, Kangwha County 16 6.4 1.63 0.76 0.23 8 2.1 0.76 0.20 0.10*Korea, Seoul 971 5.9 0.21 0.67 0.03 863 3.6 0.13 0.39 0.02*Kuwait: Kuwaitis 46 7.8 1.19 0.96 0.19 39 5.9 1.00 0.63 0.14*Kuwait: Non-Kuwaitis 66 9.0 2.03 0.71 0.20 24 5.5 1.45 0.48 0.18*Oman: Omani 161 8.3 0.67 1.00 0.09 138 7.5 0.66 0.97 0.10*Pakistan, South Karachi 232 14.7 1.03 1.73 0.15 139 12.7 1.17 1.48 0.16*Philippines, Manila 639 11.1 0.47 1.35 0.07 615 8.3 0.35 0.97 0.05*Philippines, Rizal 595 9.6 0.44 1.17 0.07 554 7.6 0.35 0.87 0.05 Singapore: Chinese 389 7.6 0.39 0.84 0.06 383 5.7 0.30 0.61 0.04 Singapore: Indian 16 2.3 0.58 0.28 0.08 14 3.5 0.97 0.57 0.18 Singapore: Malay 45 5.6 0.86 0.60 0.11 55 6.7 0.93 0.75 0.12*Thailand, Bangkok 1394 20.2 0.57 2.22 0.08 949 11.8 0.39 1.33 0.05*Thailand, Chiang Mai 720 19.2 0.73 2.12 0.09 661 18.0 0.71 2.04 0.09*Thailand, Khon Kaen 636 19.2 0.79 2.28 0.11 402 11.0 0.56 1.32 0.08*Thailand, Lampang 524 25.6 1.15 3.02 0.16 395 18.9 0.97 2.20 0.13*Thailand, Songkhla 188 9.8 0.73 1.24 0.11 105 5.0 0.50 0.55 0.07*Viet Nam, Hanoi 226 5.1 0.34 - - 152 2.9 0.24 - - *Viet Nam, Ho Chi Minh City 284 4.7 0.29 0.53 0.04 293 3.5 0.21 0.41 0.03

Europe Austria, Tyrol 105 4.5 0.45 0.41 0.06 170 4.3 0.37 0.42 0.05 Austria, Vorarlberg 69 6.4 0.79 0.65 0.10 87 4.6 0.58 0.39 0.07

+*Belarus 1809 6.4 0.15 0.80 0.02 1387 3.2 0.09 0.38 0.01*Belgium, Flanders, (excl. Limburg) 946 10.9 0.37 1.25 0.05 966 9.2 0.34 1.00 0.04*Belgium, Limburg 310 27.8 1.61 3.50 0.22 366 30.3 1.67 3.60 0.21*Croatia 1778 11.7 0.28 1.41 0.04 1553 6.7 0.18 0.72 0.02 Czech Republic 3548 10.6 0.18 1.17 0.02 3939 7.5 0.13 0.80 0.02 Denmark 2861 13.2 0.26 1.57 0.04 3380 11.9 0.23 1.41 0.03 Estonia 323 7.3 0.41 0.91 0.06 241 3.1 0.22 0.37 0.03 Finland 1305 7.0 0.20 0.73 0.03 1914 5.9 0.15 0.61 0.02 France, Bas-Rhin 388 12.5 0.64 1.58 0.09 312 6.7 0.43 0.77 0.06*France, Calvados 200 9.5 0.69 1.19 0.10 132 4.5 0.44 0.55 0.06 France, Cote d’Or France, Doubs 208 12.7 0.89 1.50 0.12 129 5.7 0.57 0.65 0.07 France, Haut-Rhin 170 7.5 0.58 0.95 0.08 108 2.7 0.30 0.24 0.04*France, Herault 320 9.4 0.56 1.14 0.07 164 3.8 0.33 0.47 0.04 France, Isere 404 11.5 0.58 1.27 0.08 286 5.5 0.38 0.57 0.05*France, Manche 179 11.8 0.92 1.41 0.12 113 5.1 0.56 0.57 0.07*France, Somme 303 16.4 0.97 1.92 0.13 194 7.0 0.57 0.79 0.08 France, Tarn 186 11.1 0.89 1.25 0.12 172 6.6 0.62 0.69 0.08 Germany, Saarland 561 13.2 0.57 1.52 0.08 603 8.0 0.39 0.82 0.05 Iceland 12 1.1 0.31 0.10 0.05 22 1.8 0.43 0.21 0.07 Ireland 1571 16.7 0.44 1.96 0.06 1578 13.0 0.36 1.51 0.05 Italy, Biella Province 68 12.5 1.66 1.28 0.20 77 6.9 1.02 0.80 0.14 Italy, Ferrara Province 187 10.8 0.99 1.34 0.11 172 6.0 0.54 0.67 0.07*Italy, Florence 507 8.1 0.39 0.92 0.05 481 5.2 0.34 0.47 0.04 Italy, Genoa Province 477 11.7 0.59 1.28 0.08 467 7.3 0.42 0.70 0.05 Italy, Liguria Italy, Macerata Province 153 9.1 0.79 0.85 0.10 117 5.1 0.69 0.50 0.07 Italy, Modena Province 274 8.5 0.54 0.89 0.07 253 5.2 0.39 0.53 0.05 Italy, North East 691 11.8 0.48 1.34 0.07 621 6.1 0.32 0.59 0.04

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rates and standard errorsOther and unspecified (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 107 4.6 0.47 0.45 0.06 158 3.8 0.39 0.36 0.05*Italy, Ragusa Province 90 7.3 0.83 0.80 0.11 75 5.2 0.72 0.52 0.08 Italy, Romagna 369 7.1 0.40 0.77 0.05 382 5.0 0.33 0.46 0.04 Italy, Sassari 201 10.7 0.78 1.19 0.11 154 6.5 0.58 0.72 0.08 Italy, Torino 416 9.1 0.46 0.97 0.06 420 5.4 0.31 0.55 0.04 Italy, Umbria 82 2.9 0.35 0.31 0.05 71 1.9 0.28 0.18 0.03 Italy, Varese Province 275 8.1 0.50 0.92 0.07 319 5.2 0.34 0.48 0.05 Italy, Venetian Region 692 10.4 0.41 1.23 0.06 610 5.6 0.27 0.56 0.03*Latvia 290 4.0 0.24 0.47 0.03 275 2.3 0.15 0.28 0.02 Lithuania 675 6.5 0.25 0.81 0.04 518 3.2 0.15 0.36 0.02 Malta 159 13.3 1.08 1.50 0.15 121 7.8 0.74 0.93 0.11 The Netherlands 7456 13.6 0.16 1.61 0.02 6599 8.9 0.12 1.01 0.02 The Netherlands, Eindhoven 485 14.9 0.68 1.70 0.10 394 9.4 0.50 1.05 0.07 The Netherlands, Maastricht 515 15.9 0.72 1.84 0.10 408 9.1 0.50 1.02 0.07 Norway 1947 10.3 0.25 1.12 0.04 2167 8.5 0.22 0.95 0.03*Poland, Cracow 375 16.9 0.88 1.81 0.11 340 9.2 0.53 0.98 0.07*Poland, Kielce 345 12.0 0.66 1.43 0.09 298 6.9 0.43 0.82 0.06*Poland, Lower Silesia 1177 14.6 0.43 1.69 0.06 1120 9.3 0.29 1.01 0.04 Poland, Warsaw City 700 12.1 0.46 1.39 0.06 823 8.0 0.31 0.79 0.04*Portugal, Vila Nova de Gaia 56 7.5 1.02 0.98 0.16 54 5.4 0.82 0.49 0.09*Russia, St Petersburg 565 5.3 0.23 0.64 0.03 658 3.2 0.15 0.35 0.02 Slovakia 1102 7.5 0.23 0.87 0.03 1170 5.2 0.17 0.55 0.02 Slovenia 861 14.0 0.48 1.64 0.07 885 9.2 0.35 0.98 0.04 Spain, Albacete 153 10.2 0.91 1.03 0.11 142 7.5 0.72 0.83 0.10 Spain, Asturias 723 19.1 0.78 2.18 0.10 543 9.7 0.55 1.00 0.06*Spain, Canary Islands 316 13.4 0.77 1.41 0.10 240 7.6 0.52 0.84 0.07 Spain, Cuenca 106 8.2 0.89 0.97 0.13 74 4.5 0.74 0.42 0.08 Spain, Girona 137 10.0 0.91 1.01 0.11 139 6.8 0.66 0.72 0.09 Spain, Granada 376 12.6 0.68 1.33 0.09 288 6.8 0.45 0.68 0.06 Spain, Mallorca 255 13.8 0.91 1.49 0.12 174 5.8 0.51 0.61 0.07 Spain, Murcia 319 11.2 0.65 1.35 0.09 227 5.3 0.39 0.56 0.05 Spain, Navarra 241 10.6 0.73 1.19 0.10 211 6.4 0.58 0.64 0.07 Spain, Tarragona 307 11.9 0.72 1.27 0.10 239 6.8 0.53 0.69 0.07*Spain, Zaragoza 352 9.7 0.58 1.12 0.08 319 6.1 0.42 0.58 0.05 Sweden 3794 9.2 0.16 1.07 0.02 4626 9.0 0.16 1.05 0.02 Switzerland, Basel 93 5.4 0.59 0.67 0.08 101 3.6 0.41 0.44 0.06 Switzerland, Geneva 118 6.8 0.68 0.78 0.10 115 4.9 0.52 0.43 0.07 Switzerland, Graubunden and Glarus 72 7.1 0.89 0.72 0.13 49 3.7 0.62 0.36 0.08 Switzerland, Neuchatel 35 6.6 1.15 0.77 0.17 39 4.4 0.83 0.49 0.12 Switzerland, St Gall-Appenzell 162 8.4 0.70 0.87 0.09 163 5.5 0.51 0.61 0.07*Switzerland, Ticino 42 7.4 1.20 0.83 0.18 36 3.5 0.71 0.34 0.10 Switzerland, Valais 91 9.2 0.99 1.16 0.15 100 6.4 0.74 0.60 0.10 Switzerland, Vaud 151 7.7 0.66 0.86 0.09 164 5.3 0.49 0.53 0.07 Switzerland, Zurich 270 7.2 0.45 0.79 0.06 346 6.0 0.38 0.64 0.05*UK, England 32466 15.6 0.09 1.73 0.01 36697 11.9 0.07 1.32 0.01 UK, England, East Anglia 1320 12.6 0.37 1.35 0.05 1443 10.7 0.34 1.14 0.05 UK, England, Merseyside and Cheshire 1705 17.1 0.43 1.95 0.06 1971 13.1 0.34 1.44 0.05 UK, England, North Western 2982 18.4 0.35 2.10 0.05 3444 14.3 0.29 1.61 0.04 UK, England, Oxford Region 1308 13.0 0.37 1.43 0.05 1606 11.4 0.33 1.21 0.05*UK, England, South Thames 5146 17.3 0.26 1.91 0.04 5975 13.4 0.21 1.47 0.03*UK, England, South and Western Regions 4352 14.0 0.23 1.56 0.03 5234 12.0 0.20 1.35 0.03 UK, England, Trent 3295 15.6 0.29 1.73 0.04 3617 12.4 0.24 1.37 0.03*UK, England, West Midlands Region 4495 20.1 0.31 2.25 0.04 4664 15.5 0.26 1.77 0.04 UK, England, Yorkshire 2662 17.0 0.35 1.95 0.05 3031 13.4 0.29 1.48 0.04 UK, Northern Ireland 922 16.3 0.56 1.84 0.08 1208 14.6 0.47 1.62 0.07 UK, Scotland 3410 16.9 0.30 1.87 0.04 4061 13.2 0.24 1.43 0.03*Yugoslavia, Vojvodina 935 12.5 0.42 1.47 0.06 937 9.5 0.32 1.10 0.04

Oceania Australia, Capital Territory 92 13.1 1.40 1.47 0.20 74 7.8 0.94 0.72 0.13 Australia, New South Wales 2974 13.8 0.26 1.53 0.04 2745 9.7 0.21 1.05 0.03 Australia, Northern Territory 56 20.5 2.96 2.98 0.52 40 15.5 2.63 1.95 0.39 Australia, Queensland 1484 13.2 0.35 1.49 0.05 1223 8.9 0.28 0.96 0.04 Australia, South 720 13.0 0.50 1.46 0.07 708 9.5 0.40 1.00 0.05 Australia, Tasmania 241 14.4 0.96 1.76 0.14 213 9.8 0.73 1.10 0.11 Australia, Victoria 1916 12.3 0.29 1.34 0.04 1906 9.2 0.23 0.98 0.03 Australia, Western 634 11.7 0.48 1.27 0.07 580 8.3 0.38 0.91 0.06 New Zealand 1673 14.0 0.35 1.53 0.05 1919 12.2 0.31 1.30 0.04 USA, Hawaii: White 84 8.7 0.97 1.03 0.14 78 7.1 0.90 0.74 0.12 USA, Hawaii: Chinese 14 4.1 1.23 0.42 0.17 21 5.1 1.31 0.53 0.18 USA, Hawaii: Filipino 53 8.4 1.27 0.87 0.16 34 5.7 0.99 0.53 0.13 USA, Hawaii: Hawaiian 38 8.3 1.37 0.92 0.18 39 7.0 1.16 0.69 0.16 USA, Hawaii: Japanese 71 4.5 0.66 0.48 0.08 81 4.3 0.57 0.43 0.07

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rates and standard errorsAll sites

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 3718 93.6 1.62 10.81 0.23 3767 89.4 1.53 9.87 0.20*France, La Reunion 1093 220.2 6.74 26.77 0.99 716 115.2 4.41 13.49 0.61*The Gambia 449 84.5 4.33 - - 479 84.6 4.48 - - *Mali, Bamako 603 100.7 4.55 11.59 0.64 682 133.1 5.47 14.77 0.71*Uganda, Kyadondo County 2074 161.9 4.79 17.97 0.73 2241 171.0 4.56 18.31 0.60*Zimbabwe, Harare: African 3795 223.5 4.76 25.70 0.75 2744 219.5 5.41 26.33 0.88

America, Central and South*Argentina, Bahia Blanca 2892 269.7 5.08 30.88 0.70 3129 231.3 4.37 25.91 0.55*Argentina, Concordia 886 286.4 9.67 32.53 1.35 950 246.8 8.21 27.18 1.06*Brazil, Campinas 3052 192.3 3.55 22.27 0.52 3223 159.2 2.86 17.77 0.39*Brazil, Goiania 5128 438.4 6.34 52.04 0.95 5570 360.0 4.98 40.87 0.71 Colombia, Cali 5412 192.6 2.73 21.96 0.41 7037 199.4 2.49 22.76 0.35*Costa Rica 5251 203.7 2.90 23.15 0.43 5294 191.4 2.72 20.76 0.38*Cuba, Villa Clara 3918 227.9 3.81 24.15 0.51 3239 196.5 3.62 21.17 0.47*Ecuador, Quito 3625 170.7 2.97 18.79 0.44 4925 186.3 2.77 20.29 0.38*France, Martinique 2646 230.4 4.65 27.83 0.68 1926 148.0 3.57 16.27 0.45*USA, Puerto Rico 10770 258.3 2.59 30.51 0.38 7128 158.3 1.95 17.62 0.26*Uruguay, Montevideo 9856 386.0 4.03 44.96 0.55 10593 303.2 3.25 34.10 0.40

America, North Canada 317735 331.2 0.60 39.79 0.09 285318 259.4 0.52 29.46 0.07 Canada, Alberta 24422 312.1 2.04 37.84 0.30 22110 255.8 1.82 29.19 0.24 Canada, British Columbia 42447 321.9 1.62 38.83 0.23 36717 253.1 1.43 28.74 0.18 Canada, Manitoba 13789 347.6 3.13 42.19 0.45 12230 274.7 2.77 31.28 0.35 Canada, New Brunswick 9101 360.0 3.94 43.44 0.57 7351 255.6 3.25 29.05 0.42 Canada, Newfoundland 5164 298.4 4.28 36.91 0.62 4320 235.9 3.77 27.20 0.49 Canada, Northwest Territories 708 277.1 11.07 34.26 1.74 658 267.1 11.27 30.39 1.64 Canada, Nova Scotia 11289 355.0 3.49 42.82 0.51 10057 274.0 3.00 31.35 0.39

† Canada, Ontario Canada, Prince Edward Island 1660 356.9 9.17 44.17 1.35 1390 269.6 7.99 30.48 1.02+Canada, Quebec 79759 345.7 1.25 40.99 0.18 72204 257.6 1.02 29.16 0.13 Canada, Saskatchewan 11963 313.2 3.09 38.05 0.44 9909 249.3 2.82 28.56 0.36 Canada, Yukon 493 304.4 14.47 37.27 2.22 387 249.1 13.49 28.53 1.93 USA, California, Los Angeles: Non-Hispanic White 54358 378.9 1.76 44.83 0.24 50594 311.0 1.62 35.47 0.20 USA, California, Los Angeles: Hispanic White 12735 333.7 3.17 40.94 0.52 12368 231.8 2.17 25.97 0.31 USA, California, Los Angeles: Black 10786 457.0 4.48 56.65 0.65 8922 273.2 3.03 31.45 0.40 USA, California, Los Angeles: Chinese 1660 193.1 4.92 20.58 0.66 1551 161.6 4.26 17.32 0.55 USA, California, Los Angeles: Filipino 1675 269.7 6.90 36.29 1.18 1760 203.9 5.05 21.40 0.61 USA, California, Los Angeles: Japanese 1378 251.6 7.31 26.86 0.89 1266 213.8 6.61 21.99 0.74 USA, California, Los Angeles: Korean 933 234.9 8.17 25.47 1.07 878 153.9 5.34 16.28 0.67 USA, California, San Francisco: Non-Hispanic White 30923 393.2 2.39 47.14 0.33 29200 314.2 2.10 36.18 0.27 USA, California, San Francisco: Hispanic White 3242 303.2 5.53 36.47 0.81 3204 238.4 4.41 27.20 0.59 USA, California, San Francisco: Black 5014 426.0 6.18 52.40 0.89 3789 255.3 4.36 28.99 0.57 USA, Connecticut: White 40174 378.6 2.01 46.30 0.29 38980 304.3 1.75 34.88 0.22 USA, Connecticut: Black 2782 498.0 9.57 62.44 1.42 2149 265.8 5.88 30.75 0.82 USA, Georgia, Atlanta: White 16340 400.5 3.21 50.37 0.49 15456 293.6 2.50 34.20 0.34 USA, Georgia, Atlanta: Black 5701 450.6 6.25 56.47 0.97 5181 253.2 3.72 29.49 0.54 USA, Iowa 37722 359.2 1.98 44.17 0.28 34715 274.9 1.69 31.39 0.22 USA, Louisiana, Central Region: White 2545 341.1 7.08 40.99 1.00 2220 249.1 5.84 29.07 0.76 USA, Louisiana, Central Region: Black 680 387.2 15.61 49.54 2.31 545 216.4 10.03 25.13 1.35 USA, Louisiana, New Orleans: White 7940 375.3 4.38 45.21 0.61 7320 266.7 3.50 30.74 0.44 USA, Louisiana, New Orleans: Black 3703 470.8 7.85 59.57 1.18 3318 281.3 5.05 32.07 0.69 USA, Michigan, Detroit: White 40352 393.6 2.03 47.89 0.29 36387 288.6 1.67 33.27 0.21 USA, Michigan, Detroit: Black 12490 518.1 4.78 65.91 0.70 9308 281.5 3.06 32.46 0.41 USA, New Jersey: White 92345 387.2 1.35 47.15 0.19 87970 303.9 1.16 34.70 0.15 USA, New Jersey: Black 11524 465.3 4.38 58.55 0.66 9570 272.8 2.86 31.32 0.39 USA, New Mexico: Non-Hispanic White 10865 334.0 3.38 40.92 0.48 9518 265.8 2.99 30.48 0.38 USA, New Mexico: Hispanic White 4072 270.2 4.32 32.90 0.64 3570 203.8 3.53 22.94 0.47 USA, New Mexico: American Indian 477 194.8 9.32 22.72 1.39 535 159.7 7.16 17.86 0.98 USA, New York State: White 177277 353.9 0.89 42.67 0.12 181125 291.0 0.77 33.33 0.10 USA, New York State: Black 26316 387.4 2.42 47.83 0.36 24599 238.1 1.56 27.39 0.21 USA, Utah 15036 304.8 2.58 37.33 0.38 12646 226.7 2.14 25.89 0.28 USA, Washington, Seattle 41330 360.7 1.85 43.69 0.27 39691 297.9 1.62 34.36 0.21 USA, SEER: White 239074 365.5 0.78 44.58 0.11 222479 285.5 0.67 32.80 0.09 USA, SEER: Black 28177 486.5 2.97 61.33 0.44 21925 274.3 1.93 31.63 0.26

Asia*China, Beijing 12087 143.9 1.36 17.41 0.19 10284 122.4 1.27 14.32 0.16

+*China, Changle *China, Cixian *China, Hong Kong 52221 281.4 1.26 32.68 0.17 40560 200.3 1.05 21.72 0.13*China, Jiashan 2316 210.7 4.51 26.87 0.64 1226 104.5 3.05 13.08 0.42

+*China, Qidong County 7422 241.7 2.85 27.88 0.38 3975 111.5 1.84 12.50 0.24+*China, Shanghai 50137 189.8 0.90 23.24 0.12 39352 154.7 0.83 17.87 0.11

*China, Taiwan 30080 249.5 1.48 28.93 0.20 21947 194.7 1.34 21.65 0.18*China, Tianjin 22532 200.1 1.37 24.88 0.20 18929 152.2 1.16 18.16 0.15+China, Wuhan 18799 186.0 1.41 23.02 0.20 12508 112.9 1.04 13.33 0.14

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rates and standard errorsAll sites (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 6821 107.2 1.38 13.08 0.20 5005 82.9 1.24 9.64 0.17*India, Bangalore 7301 88.3 1.08 10.57 0.16 8370 110.7 1.26 12.98 0.18 India, Chennai (Madras) 8489 108.0 1.20 12.69 0.17 9187 118.0 1.26 13.45 0.17*India, Delhi 15876 123.7 1.05 14.77 0.15 15544 135.6 1.16 15.40 0.16*India, Karunagappally 894 102.6 3.50 13.19 0.53 742 76.0 2.84 8.92 0.38 India, Mumbai (Bombay) 20633 116.3 0.87 14.00 0.13 19565 122.4 0.92 14.24 0.13*India, Nagpur 2317 118.4 2.56 13.16 0.33 2199 118.8 2.65 12.97 0.34*India, Poona 4441 103.9 1.65 12.20 0.24 4855 115.3 1.73 13.25 0.24*India, Trivandrum 2017 87.8 1.97 10.19 0.27 2089 81.1 1.80 9.21 0.24 Israel: Jews 36966 277.6 1.51 32.46 0.21 40170 267.9 1.42 29.82 0.18 Israel: Jews born in Israel 5895 255.1 4.23 29.23 0.60 7728 254.4 3.61 28.17 0.50 Israel: Jews born in Europe or America 22269 308.8 2.69 36.31 0.32 24396 306.1 2.66 34.43 0.28 Israel: Jews born in Africa or Asia 8802 240.0 4.47 28.01 0.39 8046 213.3 3.97 22.90 0.33 Israel: Non-Jews 2187 159.2 3.64 18.77 0.57 1810 110.7 2.73 12.01 0.37 Japan, Hiroshima 13024 369.3 3.29 44.31 0.48 9208 215.4 2.36 24.13 0.31*Japan, Miyagi Prefecture 26191 291.5 1.86 34.52 0.26 18493 175.6 1.41 19.04 0.17*Japan, Nagasaki Prefecture 20513 310.9 2.28 36.89 0.31 15034 180.7 1.69 19.73 0.20*Japan, Osaka Prefecture 85210 273.7 0.96 31.98 0.14 59375 155.5 0.69 17.09 0.09*Japan, Saga Prefecture 10366 272.9 2.81 32.24 0.39 7549 154.5 2.06 16.90 0.25*Japan, Yamagata Prefecture 17211 284.8 2.29 33.97 0.31 12641 174.7 1.81 19.27 0.21*Korea, Busan 8486 304.0 3.64 37.90 0.55 6782 169.1 2.10 19.22 0.29*Korea, Daegu 4956 270.5 4.10 32.88 0.60 4198 164.8 2.59 18.59 0.35*Korea, Kangwha County 586 239.7 10.27 28.34 1.38 326 115.8 7.12 12.40 0.79*Korea, Seoul 50040 286.8 1.41 34.98 0.21 43282 172.9 0.86 19.84 0.12*Kuwait: Kuwaitis 818 123.4 4.62 14.51 0.70 883 112.4 4.12 12.40 0.57*Kuwait: Non-Kuwaitis 1138 122.3 7.32 11.64 0.87 876 137.3 6.86 15.58 1.08*Oman: Omani 2187 104.2 2.34 12.39 0.34 1734 83.6 2.13 9.50 0.29*Pakistan, South Karachi 2164 139.1 3.21 16.75 0.47 2109 169.5 4.01 19.09 0.54*Philippines, Manila 12948 221.6 2.13 26.40 0.33 16495 206.5 1.72 23.39 0.24*Philippines, Rizal 10528 177.9 1.93 21.04 0.29 13137 166.6 1.58 18.94 0.23 Singapore: Chinese 13896 264.1 2.28 30.49 0.34 13417 202.4 1.80 21.99 0.24 Singapore: Indian 649 101.5 4.12 10.43 0.48 554 131.7 5.98 15.40 0.84 Singapore: Malay 1235 155.5 4.53 17.58 0.62 1293 148.8 4.28 16.36 0.56*Thailand, Bangkok 9449 144.3 1.54 16.11 0.21 10812 126.8 1.27 13.81 0.17*Thailand, Chiang Mai 5177 145.5 2.04 17.17 0.28 5552 150.9 2.05 17.22 0.27*Thailand, Khon Kaen 5784 179.2 2.43 21.89 0.35 4779 128.1 1.89 14.82 0.26*Thailand, Lampang 3526 180.5 3.09 21.91 0.44 3261 154.6 2.77 18.27 0.37*Thailand, Songkhla 1879 99.6 2.33 11.79 0.33 1785 82.8 2.00 8.95 0.26*Viet Nam, Hanoi 6714 155.3 1.93 - - 5218 102.0 1.44 - - *Viet Nam, Ho Chi Minh City 8749 147.0 1.63 17.46 0.23 9329 111.5 1.19 12.81 0.16

Europe Austria, Tyrol 7802 372.5 4.32 44.30 0.62 7075 255.0 3.35 28.19 0.42 Austria, Vorarlberg 3804 369.7 6.08 43.62 0.87 3686 269.8 4.85 30.03 0.62

+*Belarus 80082 284.7 1.02 35.44 0.14 73907 179.2 0.71 20.51 0.08*Belgium, Flanders, (excl. Limburg) 26095 301.1 1.96 35.46 0.27 22418 238.2 1.79 26.09 0.21*Belgium, Limburg 4964 431.4 6.25 52.74 0.87 3718 298.5 5.19 33.55 0.64*Croatia 43296 286.3 1.41 35.70 0.20 37095 187.5 1.05 21.79 0.13 Czech Republic 133863 396.1 1.10 46.99 0.15 128181 283.4 0.85 32.01 0.11 Denmark 69164 335.8 1.35 39.36 0.19 75247 323.7 1.31 37.41 0.17 Estonia 13690 315.2 2.72 38.93 0.39 14208 208.7 1.90 24.18 0.23 Finland 58121 321.7 1.37 36.67 0.19 64069 267.3 1.18 29.31 0.15 France, Bas-Rhin 13093 421.8 3.74 50.61 0.52 9603 240.6 2.68 26.90 0.33*France, Calvados 7969 375.2 4.33 44.77 0.59 5828 221.4 3.21 24.22 0.39 France, Cote d’Or France, Doubs 7026 422.1 5.16 48.92 0.71 5522 274.0 4.04 29.98 0.50 France, Haut-Rhin 10739 475.5 4.65 56.91 0.65 9019 311.7 3.59 34.86 0.44*France, Herault 10421 300.0 3.15 34.69 0.41 7959 212.1 2.67 23.22 0.31 France, Isere 11933 342.8 3.21 39.88 0.44 9340 225.7 2.54 24.61 0.31*France, Manche 5493 358.8 5.11 41.16 0.66 3942 213.8 3.99 22.83 0.46*France, Somme 6581 343.9 4.41 40.66 0.58 4656 211.6 3.43 23.29 0.40 France, Tarn 4789 289.6 4.62 34.02 0.60 3540 198.3 3.99 21.63 0.46 Germany, Saarland 16486 385.3 3.11 45.65 0.42 15804 277.6 2.55 31.04 0.30 Iceland 2680 307.8 6.19 35.44 0.88 2626 294.4 6.16 32.34 0.78 Ireland 38233 415.0 2.20 48.44 0.31 34066 326.3 1.91 37.13 0.25 Italy, Biella Province 2305 421.3 9.57 50.79 1.26 2029 299.6 8.17 33.20 0.91 Italy, Ferrara Province 7425 406.7 5.28 49.43 0.68 6162 283.0 4.42 31.76 0.50*Italy, Florence 19493 343.2 2.70 40.21 0.35 16805 255.0 2.37 27.66 0.27 Italy, Genoa Province 14795 387.8 3.54 44.87 0.45 12358 264.2 2.96 28.97 0.33 Italy, Liguria Italy, Macerata Province 5329 353.1 5.36 42.22 0.71 4286 261.3 4.79 28.97 0.55 Italy, Modena Province 10476 358.5 3.76 42.95 0.51 8805 265.6 3.30 29.65 0.39 Italy, North East 23917 429.9 2.94 50.73 0.40 21015 297.0 2.44 32.81 0.29

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rates and standard errorsAll sites (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 6938 345.3 4.64 40.48 0.60 6032 254.6 4.04 28.40 0.46*Italy, Ragusa Province 3169 259.3 4.92 29.92 0.66 2406 182.5 4.13 20.26 0.50 Italy, Romagna 19290 395.9 3.08 46.74 0.42 15111 279.7 2.69 30.70 0.31 Italy, Sassari 5759 325.6 4.47 39.09 0.63 4543 230.4 3.71 25.65 0.46 Italy, Torino 16114 381.3 3.20 45.13 0.43 14301 274.0 2.68 30.68 0.31 Italy, Umbria 8573 333.7 4.00 39.24 0.52 6566 236.0 3.53 25.62 0.39 Italy, Varese Province 12276 380.9 3.56 45.21 0.50 10377 246.5 2.80 27.00 0.33 Italy, Venetian Region 26878 429.9 2.75 50.84 0.37 21980 275.3 2.16 30.37 0.25*Latvia 19093 258.3 1.89 31.81 0.27 20543 179.9 1.37 20.65 0.16 Lithuania 29744 284.1 1.66 35.02 0.24 29500 192.8 1.20 22.09 0.15 Malta 3537 300.7 5.18 34.48 0.72 3141 229.2 4.28 25.39 0.54 The Netherlands 177906 327.7 0.80 38.83 0.11 155562 247.7 0.69 27.75 0.09 The Netherlands, Eindhoven 12692 395.5 3.56 46.72 0.51 11104 303.6 3.03 33.86 0.38 The Netherlands, Maastricht 10648 329.1 3.28 39.34 0.46 8734 236.4 2.75 26.46 0.33 Norway 51894 295.0 1.40 34.32 0.19 47798 248.8 1.31 27.84 0.16*Poland, Cracow 6028 271.2 3.53 32.49 0.48 6929 221.3 2.81 24.95 0.35*Poland, Kielce 7467 266.5 3.15 32.88 0.44 6321 177.7 2.40 20.07 0.29*Poland, Lower Silesia 25542 314.7 2.00 38.04 0.27 22868 208.0 1.44 23.52 0.18 Poland, Warsaw City 15122 269.1 2.25 31.82 0.30 17300 219.1 1.82 24.67 0.22*Portugal, Vila Nova de Gaia 2020 268.4 6.11 31.74 0.87 1834 190.8 4.69 21.65 0.64*Russia, St Petersburg 29011 275.0 1.66 33.46 0.24 37679 197.6 1.13 22.31 0.14 Slovakia 52843 353.2 1.56 42.57 0.21 45268 230.0 1.14 25.92 0.14 Slovenia 19309 315.2 2.29 37.43 0.32 18755 223.3 1.75 24.85 0.21 Spain, Albacete 3390 239.7 4.44 28.08 0.58 2375 163.9 3.80 18.25 0.45 Spain, Asturias 11485 310.0 3.11 36.69 0.41 7955 180.6 2.39 19.70 0.27*Spain, Canary Islands 6661 284.9 3.55 32.88 0.50 5058 187.2 2.76 20.95 0.36 Spain, Cuenca 2425 227.5 5.41 26.18 0.66 1596 155.6 4.85 16.68 0.52 Spain, Girona 5062 375.5 5.68 43.39 0.75 3435 236.3 4.63 25.83 0.55 Spain, Granada 9408 329.3 3.54 38.81 0.48 6622 202.4 2.75 22.02 0.33 Spain, Mallorca 7703 420.2 5.06 49.15 0.69 5427 251.9 3.85 27.64 0.47 Spain, Murcia 8493 296.5 3.34 34.48 0.46 5941 180.8 2.57 19.54 0.31 Spain, Navarra 8502 386.9 4.47 44.72 0.59 5854 244.5 3.68 26.19 0.43 Spain, Tarragona 8294 345.7 4.09 40.22 0.54 6203 240.1 3.49 26.09 0.41*Spain, Zaragoza 11016 313.9 3.27 36.74 0.43 7655 190.5 2.57 20.47 0.29 Sweden 104064 257.8 0.88 29.96 0.12 101029 242.1 0.88 27.47 0.11 Switzerland, Basel 6804 368.3 4.72 42.22 0.65 6311 279.5 4.05 31.51 0.50 Switzerland, Geneva 6508 405.4 5.35 48.79 0.76 6325 367.6 4.99 41.18 0.66 Switzerland, Graubunden and Glarus 3108 356.8 6.78 41.12 0.96 2636 258.2 5.73 28.65 0.72 Switzerland, Neuchatel 1993 390.0 9.19 46.30 1.27 1838 292.2 7.76 32.52 0.94 Switzerland, St Gall-Appenzell 6961 365.7 4.64 41.30 0.65 6087 269.0 3.91 29.81 0.49*Switzerland, Ticino 1704 335.0 8.57 40.00 1.22 1583 254.7 7.43 28.62 0.89 Switzerland, Valais 3721 395.7 6.70 47.85 0.95 3033 277.1 5.47 30.37 0.68 Switzerland, Vaud 7605 421.7 5.10 49.04 0.70 6962 312.4 4.21 34.81 0.53 Switzerland, Zurich 11394 319.2 3.12 37.27 0.44 9998 232.5 2.59 25.87 0.32*UK, England 621656 313.3 0.42 35.97 0.06 612850 257.1 0.38 28.92 0.05 UK, England, East Anglia 31677 327.6 1.98 37.06 0.27 29426 279.3 1.88 31.18 0.23 UK, England, Merseyside and Cheshire 34844 367.7 2.05 42.87 0.29 34622 298.0 1.82 33.76 0.23 UK, England, North Western 56397 360.5 1.59 41.56 0.22 56824 299.2 1.44 33.76 0.18 UK, England, Oxford Region 34638 360.4 2.01 41.04 0.28 34369 311.1 1.86 34.69 0.24*UK, England, South Thames 74774 267.9 1.05 30.38 0.15 76975 230.9 0.97 25.88 0.12*UK, England, South and Western Regions 96775 326.2 1.14 36.86 0.16 95336 280.9 1.08 31.21 0.13 UK, England, Trent 62781 313.1 1.32 35.87 0.18 60221 262.2 1.22 29.51 0.15*UK, England, West Midlands Region 71708 331.9 1.30 37.65 0.18 68436 273.4 1.19 30.37 0.15 UK, England, Yorkshire 48508 323.1 1.54 37.56 0.22 48384 272.7 1.42 30.77 0.18 UK, Northern Ireland 21006 388.5 2.78 44.09 0.38 21943 323.5 2.42 35.96 0.31 UK, Scotland 75675 389.5 1.47 44.92 0.20 77701 316.6 1.28 35.69 0.16*Yugoslavia, Vojvodina 19604 264.1 1.93 31.89 0.26 17417 203.1 1.62 23.34 0.20

Oceania† Australia, Capital Territory † Australia, New South Wales † Australia, Northern Territory

Australia, Queensland 40498 375.3 1.92 43.68 0.26 31311 274.3 1.65 30.12 0.20 Australia, South 20195 375.8 2.76 44.12 0.38 15731 270.4 2.36 30.11 0.29

† Australia, Tasmania Australia, Victoria 53409 353.4 1.58 41.85 0.22 44873 266.9 1.36 29.85 0.17 Australia, Western 19355 369.2 2.71 44.01 0.39 15028 263.3 2.27 29.42 0.29 New Zealand 40357 346.8 1.78 40.32 0.25 35866 276.4 1.57 30.86 0.20 USA, Hawaii: White 3865 391.5 6.57 46.85 0.94 3023 302.1 5.87 33.93 0.76 USA, Hawaii: Chinese 768 264.9 10.75 31.85 1.47 648 211.7 9.38 24.34 1.20 USA, Hawaii: Filipino 1826 289.2 7.43 34.10 1.07 1168 219.8 6.55 23.72 0.80 USA, Hawaii: Hawaiian 1342 289.2 8.06 36.24 1.16 1528 305.0 7.95 35.46 1.08 USA, Hawaii: Japanese 3768 257.4 4.82 30.94 0.65 3226 224.1 4.69 25.11 0.53

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rates and standard errorsAll sites but C44

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Africa*Algeria, Algiers 3426 85.9 1.56 10.01 0.22 3625 85.9 1.50 9.49 0.20*France, La Reunion 1065 214.6 6.66 26.18 0.97 690 111.6 4.35 13.15 0.60*The Gambia 443 83.5 4.29 - - 467 82.3 4.39 - - *Mali, Bamako 586 98.5 4.52 11.39 0.64 667 130.3 5.42 14.41 0.70*Uganda, Kyadondo County 2042 158.1 4.72 17.50 0.72 2229 169.9 4.54 18.17 0.60*Zimbabwe, Harare: African 3740 220.2 4.72 25.28 0.74 2703 216.6 5.38 26.02 0.88

America, Central and South*Argentina, Bahia Blanca 2705 252.6 4.92 29.11 0.68 2967 220.1 4.26 24.63 0.54*Argentina, Concordia 745 240.9 8.87 27.40 1.24 805 211.6 7.63 23.78 0.99*Brazil, Campinas 2908 183.1 3.45 21.37 0.51 3103 153.5 2.81 17.18 0.38*Brazil, Goiania 3135 268.9 4.98 32.61 0.76 3276 205.2 3.72 23.66 0.53 Colombia, Cali 5399 192.2 2.73 21.91 0.41 7028 199.2 2.49 22.74 0.35*Costa Rica 4389 169.7 2.65 19.40 0.40 4387 158.4 2.47 17.01 0.34*Cuba, Villa Clara 2896 168.9 3.29 18.04 0.45 2355 144.2 3.11 15.57 0.40*Ecuador, Quito 3124 146.0 2.74 16.14 0.41 4394 165.9 2.61 18.02 0.36*France, Martinique 2517 218.4 4.52 26.48 0.67 1794 137.8 3.45 15.22 0.43*USA, Puerto Rico 10753 257.8 2.59 30.44 0.38 7118 158.1 1.95 17.60 0.26*Uruguay, Montevideo 8688 341.9 3.80 39.88 0.52 9664 279.0 3.12 31.26 0.38

America, North Canada 316842 330.2 0.60 39.69 0.09 284479 258.7 0.52 29.38 0.07 Canada, Alberta 24325 310.9 2.04 37.70 0.30 22025 254.8 1.81 29.10 0.24 Canada, British Columbia 42335 321.1 1.62 38.74 0.23 36612 252.4 1.43 28.67 0.18 Canada, Manitoba 13740 346.5 3.12 42.07 0.45 12170 273.3 2.76 31.14 0.35 Canada, New Brunswick 9064 358.6 3.93 43.31 0.57 7330 254.9 3.25 29.00 0.42 Canada, Newfoundland 5147 297.5 4.27 36.81 0.62 4302 235.0 3.77 27.13 0.49 Canada, Northwest Territories 674 265.8 10.87 33.05 1.72 643 262.1 11.18 29.85 1.64 Canada, Nova Scotia 11256 354.0 3.49 42.70 0.50 10028 273.2 2.99 31.27 0.39 Canada, Ontario 117645 327.1 0.98 39.28 0.14 108562 262.8 0.86 29.80 0.11 Canada, Prince Edward Island 1655 356.0 9.16 44.03 1.35 1383 268.1 7.96 30.34 1.02+Canada, Quebec 79318 343.8 1.25 40.80 0.18 71782 256.2 1.02 29.02 0.13 Canada, Saskatchewan 11925 312.1 3.08 37.94 0.44 9870 248.3 2.82 28.46 0.36 Canada, Yukon 451 281.2 13.93 34.87 2.17 360 233.8 13.11 26.97 1.90 USA, California, Los Angeles: Non-Hispanic White 54101 377.2 1.75 44.65 0.24 50376 309.7 1.61 35.34 0.20 USA, California, Los Angeles: Hispanic White 12702 333.1 3.17 40.89 0.52 12318 231.0 2.17 25.90 0.31 USA, California, Los Angeles: Black 10764 456.1 4.48 56.58 0.65 8891 272.2 3.03 31.36 0.40 USA, California, Los Angeles: Chinese 1652 192.1 4.91 20.49 0.66 1549 161.3 4.26 17.30 0.55 USA, California, Los Angeles: Filipino 1673 269.3 6.90 36.21 1.18 1758 203.6 5.05 21.37 0.61 USA, California, Los Angeles: Japanese 1375 251.0 7.30 26.79 0.89 1265 213.6 6.60 21.99 0.74 USA, California, Los Angeles: Korean 929 233.7 8.14 25.43 1.07 878 153.9 5.34 16.28 0.67 USA, California, San Francisco: Non-Hispanic White 30804 391.7 2.39 47.00 0.33 29112 313.2 2.10 36.08 0.27 USA, California, San Francisco: Hispanic White 3236 302.8 5.53 36.45 0.81 3198 238.0 4.41 27.16 0.59 USA, California, San Francisco: Black 4995 424.5 6.17 52.22 0.89 3778 254.6 4.35 28.93 0.57 USA, Connecticut: White 40066 377.5 2.01 46.18 0.29 38878 303.5 1.75 34.81 0.22 USA, Connecticut: Black 2776 497.2 9.57 62.35 1.42 2141 264.9 5.87 30.66 0.82 USA, Georgia, Atlanta: White 16302 399.7 3.20 50.28 0.49 15418 292.9 2.49 34.14 0.34 USA, Georgia, Atlanta: Black 5681 449.6 6.25 56.38 0.97 5159 252.4 3.71 29.42 0.54 USA, Iowa 37630 358.3 1.97 44.07 0.28 34649 274.3 1.69 31.34 0.22 USA, Louisiana, Central Region: White 2540 340.4 7.07 40.93 1.00 2215 248.6 5.83 29.01 0.75 USA, Louisiana, Central Region: Black 678 385.8 15.58 49.30 2.30 544 216.3 10.03 25.13 1.35 USA, Louisiana, New Orleans: White 7922 374.6 4.38 45.17 0.61 7308 266.2 3.50 30.69 0.44 USA, Louisiana, New Orleans: Black 3699 470.3 7.84 59.54 1.18 3311 280.7 5.05 32.03 0.69 USA, Michigan, Detroit: White 40246 392.5 2.03 47.78 0.29 36292 287.8 1.67 33.19 0.21 USA, Michigan, Detroit: Black 12471 517.4 4.77 65.84 0.70 9282 280.6 3.06 32.38 0.41 USA, New Jersey: White 92139 386.3 1.35 47.06 0.19 87798 303.3 1.16 34.64 0.15 USA, New Jersey: Black 11503 464.5 4.37 58.47 0.65 9543 272.0 2.86 31.26 0.39 USA, New Mexico: Non-Hispanic White 10822 332.6 3.38 40.77 0.48 9472 264.3 2.98 30.34 0.38 USA, New Mexico: Hispanic White 4066 269.8 4.31 32.87 0.64 3562 203.3 3.52 22.90 0.47 USA, New Mexico: American Indian 477 194.8 9.32 22.72 1.39 532 158.8 7.15 17.77 0.98 USA, New York State: White 176912 353.2 0.89 42.59 0.12 180791 290.5 0.77 33.28 0.10 USA, New York State: Black 26269 386.8 2.41 47.77 0.36 24552 237.6 1.56 27.35 0.21 USA, Utah 14984 303.8 2.57 37.23 0.38 12598 225.8 2.14 25.80 0.28 USA, Washington, Seattle 41189 359.6 1.85 43.57 0.27 39541 296.8 1.62 34.24 0.21 USA, SEER: White 238367 364.5 0.78 44.47 0.11 221831 284.6 0.67 32.72 0.09 USA, SEER: Black 28106 485.5 2.96 61.23 0.44 21855 273.5 1.93 31.56 0.26

Asia*China, Beijing 12015 143.1 1.35 17.32 0.19 10220 121.7 1.27 14.23 0.16

+*China, Changle *China, Cixian *China, Hong Kong 51381 276.9 1.25 32.20 0.17 39677 196.3 1.05 21.30 0.13*China, Jiashan 2307 209.7 4.50 26.75 0.64 1218 103.7 3.04 13.00 0.42

+*China, Qidong County 7381 240.3 2.84 27.71 0.38 3943 110.8 1.84 12.44 0.24+*China, Shanghai 49838 188.7 0.90 23.11 0.12 39087 153.7 0.83 17.76 0.11

*China, Taiwan 29446 244.4 1.47 28.33 0.19 21410 190.0 1.33 21.14 0.18*China, Tianjin 22421 199.1 1.37 24.76 0.20 18838 151.5 1.15 18.07 0.15+China, Wuhan 18706 185.1 1.41 22.91 0.20 12443 112.3 1.03 13.27 0.14

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rates and standard errorsAll sites but C44 (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Asia (contd)*India, Ahmedabad 6727 105.8 1.38 12.92 0.20 4937 81.8 1.23 9.49 0.17*India, Bangalore 7195 87.1 1.07 10.43 0.16 8281 109.5 1.25 12.83 0.17 India, Chennai (Madras) 8371 106.4 1.19 12.50 0.17 9103 116.9 1.25 13.33 0.17*India, Delhi 15719 122.4 1.05 14.62 0.15 15417 134.5 1.15 15.28 0.16*India, Karunagappally 880 101.0 3.47 13.00 0.53 735 75.3 2.83 8.82 0.38 India, Mumbai (Bombay) 20349 114.8 0.86 13.84 0.13 19374 121.0 0.91 14.07 0.13*India, Nagpur 2291 117.1 2.55 13.01 0.33 2181 117.7 2.64 12.85 0.34*India, Poona 4380 102.6 1.64 12.06 0.24 4805 114.2 1.72 13.11 0.24*India, Trivandrum 1980 86.1 1.95 10.01 0.27 2064 80.1 1.79 9.10 0.24 Israel: Jews 36594 274.8 1.50 32.18 0.21 39675 264.7 1.42 29.49 0.18 Israel: Jews born in Israel 5788 251.4 4.20 28.80 0.59 7589 249.9 3.58 27.74 0.50 Israel: Jews born in Europe or America 22052 305.9 2.68 36.03 0.32 24081 302.7 2.64 34.06 0.28 Israel: Jews born in Africa or Asia 8754 238.2 4.45 27.84 0.39 8005 212.1 3.96 22.77 0.33 Israel: Non-Jews 2177 158.7 3.64 18.74 0.57 1795 109.9 2.72 11.93 0.36 Japan, Hiroshima 12845 364.3 3.27 43.76 0.48 9037 212.1 2.35 23.80 0.30*Japan, Miyagi Prefecture 25948 288.8 1.85 34.29 0.26 18268 174.0 1.40 18.88 0.17*Japan, Nagasaki Prefecture 20126 305.4 2.26 36.35 0.31 14599 177.1 1.68 19.40 0.20*Japan, Osaka Prefecture 84831 272.4 0.96 31.85 0.14 58992 154.6 0.68 17.00 0.09*Japan, Saga Prefecture 10272 270.4 2.80 32.00 0.39 7445 153.0 2.05 16.76 0.25*Japan, Yamagata Prefecture 17134 283.4 2.28 33.84 0.31 12535 173.6 1.81 19.17 0.21*Korea, Busan 8404 300.8 3.62 37.50 0.54 6694 166.8 2.08 18.97 0.29*Korea, Daegu 4897 267.4 4.07 32.48 0.60 4134 162.3 2.57 18.40 0.35*Korea, Kangwha County 582 238.3 10.25 28.17 1.38 319 113.6 7.06 12.20 0.79*Korea, Seoul 49666 284.6 1.40 34.75 0.21 42945 171.5 0.86 19.69 0.12*Kuwait: Kuwaitis 807 121.6 4.59 14.38 0.70 874 111.1 4.09 12.21 0.57*Kuwait: Non-Kuwaitis 1104 119.5 7.25 11.29 0.86 866 134.2 6.77 15.38 1.08*Oman: Omani 2073 98.1 2.27 11.61 0.33 1677 80.7 2.10 9.17 0.29*Pakistan, South Karachi 2086 134.1 3.15 16.14 0.46 2053 164.6 3.95 18.48 0.53*Philippines, Manila 12818 219.3 2.12 26.15 0.32 16365 204.8 1.71 23.22 0.24*Philippines, Rizal 10358 174.9 1.91 20.73 0.29 12990 164.4 1.56 18.69 0.23 Singapore: Chinese 13328 253.4 2.24 29.36 0.33 12829 194.1 1.76 21.21 0.24 Singapore: Indian 628 97.9 4.04 10.14 0.48 540 127.9 5.87 15.10 0.83 Singapore: Malay 1199 151.1 4.46 17.17 0.62 1259 144.5 4.21 15.94 0.55*Thailand, Bangkok 9211 140.5 1.52 15.74 0.21 10549 123.6 1.25 13.49 0.17*Thailand, Chiang Mai 5031 141.4 2.02 16.68 0.28 5428 147.5 2.03 16.84 0.26*Thailand, Khon Kaen 5661 175.2 2.40 21.37 0.35 4672 125.0 1.87 14.47 0.25*Thailand, Lampang 3474 177.8 3.07 21.62 0.44 3183 151.0 2.74 17.89 0.37*Thailand, Songkhla 1800 95.2 2.27 11.25 0.33 1704 79.1 1.95 8.56 0.25*Viet Nam, Hanoi 6566 151.7 1.90 - - 5066 99.1 1.42 - - *Viet Nam, Ho Chi Minh City 8531 143.1 1.61 17.03 0.23 9086 108.6 1.17 12.49 0.16

Europe Austria, Tyrol 7311 350.4 4.20 41.86 0.60 6488 237.8 3.26 26.44 0.41 Austria, Vorarlberg 3171 310.0 5.58 36.74 0.80 3017 225.1 4.46 24.85 0.56

+*Belarus 74803 265.8 0.99 33.21 0.14 65829 162.5 0.68 18.51 0.08*Belgium, Flanders, (excl. Limburg) 24752 286.6 1.92 33.89 0.26 21089 226.9 1.75 24.88 0.21*Belgium, Limburg 4147 360.8 5.72 44.76 0.81 3024 248.0 4.76 28.54 0.59*Croatia 43202 285.7 1.40 35.65 0.20 36960 187.0 1.05 21.77 0.13 Czech Republic 109880 326.9 1.00 38.94 0.14 104098 234.6 0.78 26.56 0.10 Denmark 56779 277.0 1.23 32.66 0.17 62496 272.2 1.21 31.61 0.15 Estonia 12685 292.4 2.62 36.30 0.38 12453 186.2 1.81 21.51 0.22 Finland 47257 262.9 1.24 30.14 0.17 49571 215.1 1.07 23.62 0.13 France, Bas-Rhin 12548 405.7 3.67 49.05 0.52 9174 233.9 2.66 26.29 0.32*France, Calvados 7446 353.6 4.22 42.69 0.58 5466 213.2 3.17 23.53 0.38 France, Cote d’Or France, Doubs 5624 340.1 4.64 39.88 0.64 4156 212.8 3.59 23.35 0.44 France, Haut-Rhin 8451 376.3 4.15 45.32 0.58 6718 240.0 3.19 26.92 0.39*France, Herault 9696 282.9 3.08 32.95 0.40 7554 205.8 2.65 22.65 0.30 France, Isere 11548 332.6 3.16 38.92 0.44 9049 220.9 2.52 24.19 0.31*France, Manche 4865 321.8 4.87 37.58 0.63 3381 196.0 3.88 21.12 0.44*France, Somme 6311 331.8 4.34 39.39 0.57 4472 206.8 3.40 22.90 0.40 France, Tarn 4496 275.2 4.52 32.63 0.59 3326 191.7 3.95 21.11 0.45 Germany, Saarland 14169 332.3 2.90 39.43 0.39 13603 242.6 2.41 27.16 0.28 Iceland 2344 269.3 5.79 31.09 0.83 2221 251.0 5.70 27.49 0.72 Ireland 24624 268.7 1.77 31.66 0.25 23094 230.2 1.63 26.19 0.21 Italy, Biella Province 1960 359.0 8.90 43.35 1.17 1729 257.4 7.62 28.42 0.85 Italy, Ferrara Province 6006 333.1 4.85 40.80 0.62 5075 239.6 4.12 27.07 0.46*Italy, Florence 17689 313.2 2.59 36.79 0.34 15539 238.7 2.31 25.97 0.26 Italy, Genoa Province 13275 348.1 3.36 40.30 0.43 11141 240.3 2.84 26.33 0.31 Italy, Liguria Italy, Macerata Province 4410 293.2 4.90 35.18 0.65 3473 219.5 4.45 24.32 0.51 Italy, Modena Province 8889 305.3 3.48 36.88 0.47 7588 233.2 3.11 26.17 0.36 Italy, North East 20447 369.1 2.74 43.87 0.38 17728 255.2 2.28 28.19 0.27

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rates and standard errorsAll sites but C44 (contd)

MALECases ASR(W) CUM 0-74

FEMALECases ASR(W) CUM 0-74

Europe (contd) Italy, Parma Province 6492 326.0 4.53 38.35 0.58 5698 244.0 3.97 27.29 0.45*Italy, Ragusa Province 2595 215.1 4.52 24.49 0.59 2086 161.3 3.92 17.87 0.46 Italy, Romagna 16182 333.4 2.84 39.47 0.38 12926 243.6 2.54 26.86 0.29 Italy, Sassari 4791 271.9 4.10 32.78 0.58 3868 198.5 3.47 22.07 0.42 Italy, Torino 13793 327.6 2.98 38.79 0.39 12226 237.3 2.52 26.49 0.29 Italy, Umbria 7420 291.9 3.78 34.42 0.49 5763 213.8 3.40 23.29 0.38 Italy, Varese Province 11126 346.6 3.41 41.37 0.48 9454 228.1 2.71 25.02 0.32 Italy, Venetian Region 22546 363.3 2.55 43.06 0.34 18533 236.9 2.02 26.09 0.23*Latvia 17812 241.1 1.83 29.87 0.26 18668 166.2 1.32 19.00 0.16 Lithuania 27426 262.5 1.60 32.40 0.23 25761 170.6 1.13 19.50 0.14 Malta 2897 248.8 4.73 28.75 0.66 2774 204.0 4.05 22.74 0.51 The Netherlands 168921 312.1 0.78 37.22 0.11 149823 240.9 0.68 27.06 0.08 The Netherlands, Eindhoven 10337 322.6 3.22 38.35 0.46 8891 245.4 2.74 27.44 0.34 The Netherlands, Maastricht 10148 314.1 3.21 37.79 0.45 8474 230.7 2.72 25.86 0.33 Norway 49394 282.5 1.37 33.01 0.19 45728 241.3 1.29 27.08 0.16*Poland, Cracow 5692 256.3 3.43 30.76 0.47 6513 209.7 2.75 23.66 0.34*Poland, Kielce 6902 246.8 3.03 30.51 0.42 5694 161.8 2.30 18.32 0.28*Poland, Lower Silesia 24451 301.2 1.96 36.53 0.27 21793 199.1 1.41 22.52 0.17 Poland, Warsaw City 14562 259.4 2.22 30.84 0.30 16624 211.9 1.80 23.82 0.22*Portugal, Vila Nova de Gaia 1900 252.7 5.93 30.04 0.85 1677 176.8 4.54 20.12 0.61*Russia, St Petersburg 27725 262.8 1.62 32.09 0.23 35422 187.1 1.11 21.14 0.13 Slovakia 46199 310.1 1.46 37.55 0.20 38109 196.4 1.06 22.10 0.13 Slovenia 17450 285.2 2.18 33.91 0.30 16585 201.0 1.67 22.34 0.20 Spain, Albacete 3381 239.0 4.43 28.02 0.58 2369 163.6 3.80 18.23 0.45 Spain, Asturias 11094 300.1 3.06 35.57 0.40 7593 174.2 2.36 18.98 0.27*Spain, Canary Islands 6647 284.3 3.55 32.82 0.50 5039 186.6 2.75 20.87 0.36 Spain, Cuenca 2416 226.8 5.40 26.12 0.66 1591 155.2 4.84 16.64 0.52 Spain, Girona 4079 308.0 5.18 35.97 0.68 2684 190.5 4.20 20.80 0.49 Spain, Granada 7416 261.0 3.17 30.69 0.42 5083 160.0 2.48 17.32 0.29 Spain, Mallorca 5804 319.3 4.42 37.43 0.59 3763 179.8 3.27 19.80 0.39 Spain, Murcia 7895 276.6 3.23 32.35 0.44 5530 172.4 2.53 18.86 0.30 Spain, Navarra 6884 316.4 4.07 36.93 0.54 4524 192.1 3.29 20.43 0.38 Spain, Tarragona 6631 278.3 3.67 32.23 0.48 4832 191.0 3.13 20.68 0.37*Spain, Zaragoza 9554 273.9 3.05 32.26 0.40 6618 167.7 2.41 18.09 0.27 Sweden 97223 243.7 0.86 28.64 0.12 96560 235.3 0.87 26.83 0.11 Switzerland, Basel 5181 282.6 4.16 32.44 0.57 4771 218.6 3.64 24.70 0.44 Switzerland, Geneva 4711 299.5 4.65 36.40 0.65 4495 265.0 4.27 29.62 0.56 Switzerland, Graubunden and Glarus 2437 282.9 6.07 33.14 0.86 2002 204.6 5.17 22.90 0.64 Switzerland, Neuchatel 1503 297.9 8.09 35.71 1.11 1340 220.9 6.85 24.46 0.81 Switzerland, St Gall-Appenzell 5192 277.6 4.08 31.71 0.57 4544 208.6 3.48 23.17 0.43*Switzerland, Ticino 1428 283.3 7.92 34.27 1.13 1350 222.7 6.98 25.09 0.83 Switzerland, Valais 2957 316.4 6.02 38.27 0.85 2325 217.4 4.89 23.58 0.59 Switzerland, Vaud 5732 322.3 4.49 37.82 0.62 4993 230.8 3.66 25.76 0.45 Switzerland, Zurich 11346 317.9 3.12 37.14 0.44 9937 231.0 2.58 25.75 0.32*UK, England 527666 266.6 0.39 30.70 0.05 528419 226.0 0.35 25.49 0.04 UK, England, East Anglia 24228 250.8 1.74 28.47 0.24 23373 227.8 1.72 25.51 0.21 UK, England, Merseyside and Cheshire 27901 294.9 1.84 34.54 0.26 27874 246.1 1.67 28.03 0.21 UK, England, North Western 46628 298.6 1.45 34.62 0.20 46415 252.1 1.33 28.58 0.17 UK, England, Oxford Region 25459 265.4 1.73 30.34 0.24 26607 245.8 1.66 27.48 0.21*UK, England, South Thames 72146 259.7 1.04 29.59 0.14 75327 227.6 0.97 25.57 0.12*UK, England, South and Western Regions 81274 275.3 1.05 31.20 0.14 82109 247.4 1.02 27.56 0.12 UK, England, Trent 52332 261.2 1.21 30.00 0.17 50876 226.0 1.14 25.49 0.14*UK, England, West Midlands Region 58670 271.9 1.18 30.91 0.16 56459 230.9 1.10 25.72 0.14 UK, England, Yorkshire 40229 268.7 1.41 31.39 0.20 40139 232.3 1.32 26.32 0.16 UK, Northern Ireland 15400 285.9 2.39 32.71 0.33 16190 249.1 2.15 27.83 0.27 UK, Scotland 62307 321.3 1.34 37.23 0.18 64687 269.3 1.19 30.49 0.15*Yugoslavia, Vojvodina 18209 245.4 1.86 29.72 0.25 16024 188.3 1.56 21.65 0.19

Oceania Australia, Capital Territory 2497 354.6 7.25 42.98 1.06 2149 255.8 5.71 28.77 0.77 Australia, New South Wales 74872 359.0 1.35 42.62 0.19 58857 259.8 1.15 29.10 0.14 Australia, Northern Territory 980 330.2 11.50 42.41 1.85 778 255.8 10.08 29.17 1.47 Australia, Queensland 40327 373.7 1.92 43.53 0.26 31224 273.6 1.65 30.05 0.20 Australia, South 19981 371.6 2.75 43.65 0.38 15609 268.6 2.35 29.89 0.29 Australia, Tasmania 6127 376.9 4.99 45.26 0.71 4762 276.1 4.30 30.97 0.54 Australia, Victoria 53272 352.5 1.58 41.76 0.22 44733 266.1 1.36 29.77 0.17 Australia, Western 18827 359.7 2.68 43.06 0.38 14731 258.7 2.25 28.97 0.29 New Zealand 40258 345.9 1.78 40.24 0.25 35783 275.9 1.57 30.81 0.20 USA, Hawaii: White 3848 390.0 6.56 46.70 0.94 3004 300.2 5.85 33.73 0.75 USA, Hawaii: Chinese 766 264.4 10.75 31.78 1.47 644 210.1 9.33 24.16 1.19 USA, Hawaii: Filipino 1823 288.3 7.41 34.05 1.07 1166 219.3 6.54 23.68 0.80 USA, Hawaii: Hawaiian 1335 287.8 8.04 36.09 1.16 1522 303.9 7.94 35.32 1.07 USA, Hawaii: Japanese 3760 256.5 4.80 30.85 0.65 3219 223.6 4.68 25.06 0.53

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