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O C T O B E R E D I T I O N — S A M P L E
G L O B A L C O M P E N S AT I O N P L A N N I N G R E P O R T
M E R C E R TA L E N T A L L A C C E S S ®
SAMPLE
TABL
E O
F C
ON
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4 MERCER'S GLOBAL PUBLICATIONS
5 INTRODUCTION6 REPORT STRUCTURE
7 READING THIS REPORT
12 ECONOMIC TRENDS13 AFRICA REGION
15 AMERICAS REGION
17 ASIA PACIFIC REGION
18 CENTRAL & EASTERN EUROPE REGION
20 MIDDLE EAST REGION
21 WESTERN EUROPE REGION
22 SALARY INCREASE TRENDS23 AFRICA REGION
37 AMERICAS REGION
51 ASIA PACIFIC REGION
65 CENTRAL & EASTERN EUROPE REGION
79 MIDDLE EAST REGION
86 WESTERN EUROPE REGION
93 SHORT-TERM INCENTIVE TRENDS94 AFRICA REGION
100 AMERICAS REGION
106 ASIA PACIFIC REGION
112 CENTRAL & EASTERN EUROPE REGION
118 MIDDLE EAST REGION
121 WESTERN EUROPE REGION
124 AFRICA REGION125 ALGERIA
131 ANGOLA
137 BOTSWANA
143 CAMEROON
149 DEMOCRATIC REPUBLIC OF CONGO
155 EGYPT
161 ETHIOPIA
167 GABON
173 GHANA
179 GUINEA
185 IVORY COAST
191 KENYA
197 LIBYA
203 MADAGASCAR
209 MALAWI
215 MAURITIUS
221 MOROCCO
227 MOZAMBIQUE
233 NAMIBIA
239 NIGERIA
245 RWANDA
251 SENEGAL
257 SOUTH AFRICA
263 TANZANIA
269 TUNISIA
275 UGANDA
281 ZAMBIA
287 ZIMBABWE
293 AMERICAS REGION294 ARGENTINA
300 BOLIVIA
306 BRAZIL
312 CANADA
318 CHILE
324 COLOMBIA
330 COSTA RICA
336 DOMINICAN REPUBLIC
342 ECUADOR
348 EL SALVADOR
354 GUATEMALA
360 HONDURAS
366 MEXICO
372 MEXICO-BAJIO
378 MEXICO-MONTERREY-SALTILLO
384 MEXICO-REYNOSA
390 NICARAGUA
396 PANAMA
402 PARAGUAY
408 PERU
414 PUERTO RICO
420 TRINIDAD AND TOBAGO
426 UNITED STATES
432 URUGUAY
444 ASIA PACIFIC REGION445 AUSTRALIA
451 BANGLADESH
457 CAMBODIA
463 CHINA-BEIJING
469 CHINA-CHANGSHA
475 CHINA-CHANGZHOU
481 CHINA-CHENGDU
487 CHINA-CHONGQING
493 CHINA-DALIAN
499 CHINA-GUANGDONG
505 CHINA-HANGZHOU-NINGBO
511 CHINA-HEFEI-WUHU
517 CHINA-NANJING
523 CHINA-QINGDAO
529 CHINA-SHANGHAI
535 CHINA-SHENYANG-CHANGCHUN
541 CHINA-SUZHOU
547 CHINA-TIANJIN
553 CHINA-WUHAN
559 CHINA-WUXI
565 CHINA-XIAMEN-FUZHOU
571 CHINA-XIAN
577 HONG KONG
583 INDIA
589 INDONESIA
595 JAPAN
601 MALAYSIA
607 MYANMAR
613 NEW ZEALAND
619 PAKISTAN
625 PHILIPPINES
635 SINGAPORE
641 SOUTH KOREA
647 SRI LANKA
653 TAIWAN
659 THAILAND
665 VIETNAMSAMPLE
TABL
E O
F C
ON
TEN
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671 CENTRAL & EASTERN EUROPE REGION
672 ALBANIA
678 ARMENIA
684 AZERBAIJAN
690 BELARUS
696 BOSNIA AND HERZEGOVINA
702 BULGARIA
708 CROATIA
714 CZECH REPUBLIC
720 ESTONIA
726 GEORGIA
732 HUNGARY
738 KAZAKHSTAN
744 LATVIA
750 LITHUANIA
756 MOLDOVA
762 MONTENEGRO
762 NORTH MACEDONIA
768 POLAND
774 ROMANIA
780 RUSSIA
786 SERBIA
792 SLOVAKIA
798 SLOVENIA
804 TURKEY
810 UKRAINE
816 UZBEKISTAN
822 MIDDLE EAST REGION823 BAHRAIN
835 IRAQ
841 ISRAEL
847 JORDAN
853 KUWAIT
859 LEBANON
865 OMAN
871 QATAR
877 SAUDI ARABIA
883 UNITED ARAB EMIRATES
889 YEMEN
895 WESTERN EUROPE REGION896 AUSTRIA
902 BELGIUM
908 CYPRUS
914 DENMARK
920 FINLAND
926 FRANCE
932 GERMANY
938 GREECE
944 IRELAND
950 ITALY
956 LUXEMBOURG
962 MALTA
968 NETHERLANDS
974 NORWAY
980 PORTUGAL
986 SPAIN
992 SWEDEN
998 SWITZERLAND
1004 UNITED KINGDOM
1010 ABOUT THIS REPORT1011 METHODOLOGY
1012 DATA SOURCES
1016 GLOSSARY
1023 ABOUT MERCER
SAMPLE
* Exclusive to Talent All Access® subscribers** Not included in Talent All Access®
H E A LT H & B E N E F I T S
Worldwide Benefit & Employment Guidelines
Vacation and Other Leave Policies Around the World
Vacation and Other Leave Industry Scorecard
Severance Pay Policies Around the World
Severance Pay Policies Industry Scorecard
W O R K F O R C E & C A R E E R S
Global Compensation Planning
Global Compensation Planning 20 Year Look Back*
Global Pay Summary
H A N D B O O K S & G U I D E S
Compensation Handbook*
Global Mobility Handbook*
HR Guide to Doing Business*
HR Management Terms*
HR Atlas*
Incentives Around the World
Salary Movement Snapshot**
New Graduate Starting Salaries
GLO
BAL
PUBL
ICAT
ION
S
Car Benefit Policies & Alternate Transportation
Car Cost ReportCar Benefit Policies — Global Industry Findings
Global Parental Leave Global Parental Leave Industry Scorecard
Stay ahead of today’s tight deadlines and competitive race for labor with these resources. Covering local benefits, global compensation practices, and emerging HR policy trends, this portfolio contains all of the actionable data, insights, and guidance you need to steer your organization to success. Select a title to learn more about each of our industry-leading reports, or visit imercer.com/global for more information.
GET EVERY THING IN ONE PLACESubscribe to the Talent All Access® Portal for exclusive access to online tools and all of our publications, or schedule a demo with a Mercer representative.
ORDER NOW
Workforce MetricsAround the World
Workforce Turnover Around the World
The Design of WorkShort-term Incentive Trends — A 10 Year Review*
LEARN MORE DEMO VIDEOSAMPLE
GLOBAL COMPENSATION PLANNING REPORT — OCTOBER EDITION — SAMPLE5©2019 MERCER LLC.
conditions when fixing a budget for salary increases. By doing so, organizations can ensure that their employees retain their purchasing power in the market and do not suffer an unintentional pay decrease.
However, data alone cannot dictate these decisions, and employers should be wary of outliers. An extreme economic outlier may appear to indicate budgets need to be adjusted, but this is not always the case. In markets with severe volatility, a single event (such as the resumption of crude oil exports) can belie conditions on the ground. Indeed, when planning salary increase budgets, it truly is critical that employers take all available information into account.
N O T A L L E M P L O Y E E S A R E A L I K EWhile some organizations strive to be egalitarian in their salary increases, many differentiate their salary increase substantially based on the employee’s career level. Whether due to local market conditions, public sentiment, labor relations, or legislation, specific bands of employees within a single market may see a dramatic shift in their salary increase from year to year. If large organizations or those with global or regional HR functions miss these shifts, they may find themselves losing position in the local labor market. For this reason, it is critical that business and HR professionals consider all factors when comparing and employing salary increase data.
The information revolution has touched almost every aspect of the modern business environment. As market competitors race to outthink and outmatch one another, the difference between yesterday’s and today’s data is often the margin between stagnation and success. This distinction is particularly true in the modern labor market, where talent scarcity and the ease of mobility are making it increasingly critical that HR professionals retain the top performers in their company while attracting outside talent. This publication is an asset to those individuals tasked with confronting this challenge.
T H E VA L U E O F G E T T I N G T H E W H O L E P I C T U R EWhile salary increase figures are undoubtedly valuable to any HR or business manager responsible for budget planning, these data alone are insufficient to effectively plan ahead. As employees in markets with skyrocketing inflation rates (for example, Zimbabwe) can attest, employers must account for local economic
T H I N K I T O V E RUsing this report, employers and HR professionals can find answers to common questions that arise during the salary increase budgeting process:
► How might economic conditions affect the impact of salary increases on my workforce?
► Should my organization adjust salary increases based on an employee’s career level?
► Are the salary increases that my organization offers in a given market more or less than those offered in similar markets?
► Which markets are experiencing the greatest changes in salary increases?
I N T R O D U C T I O N
SAMPLE
► The Short-Term Incentive Trends section includes country-level data on the prevalence of bonus programs and the median target and maximum bonuses for six different career levels.
► The Individual Market pages offer specific data for individual countries (and, in some cases cities), including economic trends, base salary practices, mandatory pay increase schemes, incentive programs, and information on hot jobs difficult to attract and retain. They also include details on the data sources used.
► The About this Report section delineates the methods of data-gathering and cleaning used for the report and lists key definitions.
One of Mercer’s most widely recognized and valued products, the Global Compensation Planning Report (GCPR), returns for its October Edition with fresh compensation and economic data for 145 markets and 124 countries around the world. In addition to economic indicators for each market in the report (including GDP growth, inflation, and unemployment rates), this publication offers salary increase forecasts, including and excluding zeroes, that can assist HR professionals establish or calibrate their own salary increase budgets for the upcoming year. With data that cover the past (2018), current (2019), and upcoming (2020) years and isolate seven different career levels, this report is a critical resource for working HR professionals responsible for the annual compensation planning process.
The report has the following sections:
► The Economic Trends section includes basic economic indicators (GDP change, inflation rate, and unemployment rate) for each market in the report. These key pieces of data are provided for each market, in a quick reference table format. Tables are organized by region.
► The Salary Increase Trends section contains quick reference tables with base salary increase data, including and excluding zeroes, for each market in the publication, separated by career level.
R E P O R T S T R U C T U R E
GLOBAL COMPENSATION PLANNING REPORT — OCTOBER EDITION — SAMPLE6©2019 MERCER LLC.SAMPLE
GLOBAL COMPENSATION PLANNING REPORT — OCTOBER EDITION — SAMPLE7©2019 MERCER LLC.
R E A D I N G T H I S R E P O R T
S A L A R Y I N C R E A S E T R E N D S
S A L A R Y I N C R E A S E S E X C L U D I N G A N D I N C L U D I N G Z E R O E S
MARKET
ALL EMPLOYEES
EXCLUDING ZEROES (%) INCLUDING ZEROES (%)
2018 2019 2020 2018 2019 2020
ALGERIA 6.9% 3.0% 3.0% 6.9% 3.0% 3.0%
ANGOLA 8.1% 9.4% 8.5% 8.1% 9.4% 8.5%
BOTSWANA 6.0% 7.0% 7.0% 6.0% 7.0% 7.0%
CAMEROON 4.9% 6.0% 6.0% 4.9% 6.0% 6.0%
DEMOCRATIC REPUBLIC OF CONGO 5.0% 6.0% 6.0% 5.0% 6.0% 6.0%
EGYPT 10.0% 6.0% 6.0% 10.0% 6.0% 6.0%
ETHIOPIA 10.9% 5.9% 5.8% 10.9% 5.9% 5.8%
GABON 3.3% 5.5% 5.5% 3.3% 5.5% 5.5%
GHANA 12.9% 6.0% 6.0% 12.9% 6.0% 6.0%
GUINEA 9.4% 6.0% 6.0% 9.4% 6.0% 6.0%
IVORY COAST 4.5% 5.9% 6.0% 4.5% 5.9% 6.0%
KENYA 8.0% 6.0% 6.0% 8.0% 6.0% 6.0%
LIBYA 5.3% 5.5% 5.2% 5.3% 5.5% 5.2%
MADAGASCAR 8.0% 5.5% 6.0% 8.0% 5.5% 6.0%
MALAWI 15.5% 6.0% – 15.5% 6.0% –
MAURITIUS 5.0% 5.5% 5.2% 5.0% 5.5% 5.2%
A dash indicates data are not available. Some markets do not have 2020 forecasts available at this time.
All salary increase tables and graphics are shaded purple.
The Salary Increase Trends section provides content for "all employees" and for six career levels.
Amounts are percentages and are provided both excluding and including zeroes (i.e., salary freezes).
Note: Salary increase data presented refers to an average of all industries and generally represents median values.
The Economic Trends and Salary Increase Trends sections provide three years of data for each market/country.
Data for 2018 Actual
Data for 2019 Actual/Budgeted
Data for 2020 Forecast
All markets are organized by region.
SAMPLE
GLOBAL COMPENSATION PLANNING REPORT — OCTOBER EDITION — SAMPLE8©2019 MERCER LLC.
S H O R T - T E R M I N C E N T I V E T R E N D S
MARKET
EXECUTIVE MANAGEMENT
BONUS PROGRAM ELIGIBILITY
MEDIAN TARGET BONUS (% OF BASE
PAY)
MEDIAN MAXIMUM BONUS (% OF BASE
PAY)
BONUS PROGRAM ELIGIBILITY
MEDIAN TARGET BONUS (% OF BASE
PAY)
MEDIAN MAXIMUM BONUS (% OF BASE
PAY)
ALGERIA 97% 20% 30% 97% 20% 30%
ANGOLA 100% 35% 40% 100% 35% 40%
BOTSWANA 92% 20% 25% 92% 20% 25%
CAMEROON 97% 20% 31% 97% 20% 31%
DEMOCRATIC REPUBLIC OF CONGO 100% 20% 25% 100% 20% 25%
EGYPT 99% 20% 33% 99% 20% 33%
ETHIOPIA 90% 25% 51% 90% 25% 51%
GABON 90% 75% 125% 90% 75% 125%
GHANA 96% 25% 35% 96% 25% 35%
GUINEA 82% 14% 28% 82% 14% 28%
IVORY COAST 100% 20% 32% 100% 20% 32%
KENYA 93% 25% 40% 93% 25% 40%
LIBYA – – – – – –
MADAGASCAR 100% 16% – 100% 16% –
MALAWI 100% 16% 20% 100% 16% 20%
MAURITIUS 100% 20% 40% 100% 20% 40%
This column provides the median maximum bonus amount as a percentage of base salary. In the Americas region, median actual bonus amounts are reported.
Content related to Short-term Incentives is blue.
This column provides the median target bonus amount as a percentage of base salary. Short-term Incentive definitions can be found in the Glossary.
The target and maximum amounts indicate the variable pay earning potential for an individual. For example, an employee may have a target bonus of 20%, but could receive up to 30% of base salary if their performance exceeds expectations.
This number indicates the percentage of companies that allow each career level to participate in a bonus program.
S H O R T - T E R M I N C E N T I V E T R E N D S
R E A D I N G T H I S R E P O R T
SAMPLE
GLOBAL COMPENSATION PLANNING REPORT — OCTOBER EDITION — SAMPLE9©2019 MERCER LLC.
Data for 2018 Actual
Data for 2019 Budgeted/Estimated
Data for 2020 ForecastM A R K E T
E C O N O M I C T R E N D S
S A L A R Y R E V I E W F R E Q U E N C Y
G R O S S D O M E S T I C P R O D U C T C H A N G E
I N F L AT I O N R AT E U N E M P L O Y M E N T R AT E
B A S E S A L A R Y I N C R E A S E S
S A L A R Y I N C R E A S E E F F E C T I V E D AT E
1st
2nd
3rd
16% JANUARY
14% MARCH
67% APRIL
This figure represents the percentage of companies that increase salaries in the month of April each year. The top three months are listed and may vary from one market to another.
Each individual market includes six pages of detailed content.
R E A D I N G T H I S R E P O R T
2018 2019 2020 2018 2019 2020 2018 2019 2020
1.4% 2.5% 2.7% 5.6% 6.5% 6.7% 11.7% 11.6% 12.3%
ONCE A YEAR
NO SET REVIEW DATE
MORE OFTEN
75%
20%
5%These figures indicate the percentage of companies that review salaries according to each listed time frame. Once a year is the most common practice in most markets.SAMPLE
GLOBAL COMPENSATION PLANNING REPORT — OCTOBER EDITION — SAMPLE10©2019 MERCER LLC.
M A R K E T
P E R C E N TA G E O F C O M PA N I E S R E P O R T I N G Z E R O S A L A R Y I N C R E A S E S
2018 2019 2020
ALL EMPLOYEES 2.9% 3.1% 2.9%
EXECUTIVE 4.0% 4.2% 4.0%
MANAGEMENT 3.0% 3.7% 3.0%
PROFESSIONAL SALES 3.0% 4.3% 3.0%
PROFESSIONAL NONSALES 3.9% 3.7% 3.9%
PARA-PROFESSIONAL WHITE COLLAR 2.9% 2.5% 2.9%
PARA-PROFESSIONAL BLUE COLLAR 4.2% 2.6% 4.2%
S A L A R Y I N C R E A S E S E X C L U D I N G A N D I N C L U D I N G Z E R O E S
MEDIAN SALARY INCREASES EXCLUDING ZEROES MEDIAN SALARY INCREASES INCLUDING ZEROES
2018 2019 2020 2018 2019 2020
ALL EMPLOYEES 2.0% 2.0% 2.0% 2.0% 2.0% 2.0%
EXECUTIVE 2.0% 2.0% 2.0% 2.0% 2.0% 2.0%
MANAGEMENT 2.0% 2.0% 2.0% 2.0% 2.0% 2.0%
PROFESSIONAL — SALES 2.0% 2.0% 2.0% 2.0% 2.0% 2.0%
PROFESSIONAL — NONSALES 2.0% 2.0% 2.0% 2.0% 2.0% 2.0%
PARA-PROFESSIONAL — WHITE COLLAR 2.0% 2.0% 2.0% 2.0% 2.0% 2.0%
PARA-PROFESSIONAL — BLUE COLLAR 2.0% 2.0% 2.0% 2.0% 2.0% 2.0%
This graphic indicates whether actual, forecast, or projected salary increase budgets are being reported for the market.Median salary increases are reported
for each career level, both excluding and including zeroes.
This figure is slightly lower than the 6.6% excluding zeroes amount for this career level. In the table below, there are 11.4% of companies that reported 0% budgets for this group in 2018. The impact of a 0% increase is not always visible in the data as the median is reported.
The type of salary increase ("total" or "merit") is noted below the table.
This table indicates the percentage of companies that reported a 0% increase budget for each career level.
Data for 2018 Actual
Data for 2019 Actual/Budgeted
Data for 2020 Forecast
R E A D I N G T H I S R E P O R T
Note: Values represent Total Salary Increase Budgets (see Glossary for definition).
SAMPLE
GLOBAL COMPENSATION PLANNING REPORT — OCTOBER EDITION — SAMPLE11©2019 MERCER LLC.
D ATA S O U R C E S
E C O N O M I C D ATA
YEAR SOURCE DATA TYPE EFFECTIVE DATE
GROSS DOMESTIC PRODUCT CHANGE
2018 International Monetary Fund, World Economic Outlook Database, October 2019 Actual October 2019
2019 International Monetary Fund, World Economic Outlook Database, October 2019 Estimated October 2019
2020 International Monetary Fund, World Economic Outlook Database, October 2019 Forecast October 2019
INFLATION RATE
2018 International Monetary Fund, World Economic Outlook Database, October 2019 Actual October 2019
2019 International Monetary Fund, World Economic Outlook Database, October 2019 Estimated October 2019
2020 International Monetary Fund, World Economic Outlook Database, October 2019 Forecast October 2019
UNEMPLOYMENT RATE
2018 International Monetary Fund, World Economic Outlook Database, October 2019 Actual October 2019
2019 International Monetary Fund, World Economic Outlook Database, October 2019 Estimated October 2019
2020 International Monetary Fund, World Economic Outlook Database, October 2019 Forecast October 2019
The majority of the economic data (GDP, inflation, and unemployment) are sourced outside of Mercer.The data source is listed separately for
each year as there are some instances where the source differs for one of the three years.
A detailed list of data sources can be found at the end of each set of country pages.
R E A D I N G T H I S R E P O R T
SAMPLE
GLOBAL COMPENSATION PLANNING REPORT — OCTOBER EDITION — SAMPLE13©2019 MERCER LLC.
G R O S S D O M E S T I C P R O D U C T C H A N G E , I N F L AT I O N R AT E , A N D U N E M P L O Y M E N T R AT E
MARKETGDP CHANGE (%) INFLATION RATE (%) UNEMPLOYMENT RATE (%)
2018 2019 2020 2018 2019 2020 2018 2019 2020
ALGERIA -2.5% -2.8% -1.5% 47.6% 55.0% 42.8% 9.2% 10.9% 11.3%
ANGOLA 4.2% 4.5% 3.9% 1.5% 3.5% 3.6% 4.3% 4.0% 4.0%
BOTSWANA 1.3% 0.8% 2.0% 3.9% 3.4% 3.7% 12.4% 12.2% 11.1%
CAMEROON 1.9% 1.5% 1.8% 2.2% 2.0% 2.0% 5.8% 5.8% 6.0%
DEMOCRATIC REPUBLIC OF CONGO 4.0% 2.5% 3.3% 2.4% 2.2% 2.7% 6.9% 7.0% 7.0%
EGYPT 2.7% 3.1% 3.3% 3.2% 3.5% 3.2% 9.8% 10.8% 9.9%
ETHIOPIA 2.7% 2.5% 2.8% 2.3% 2.3% 3.1% 10.2% 9.7% 9.6%
GABON 7.0% 5.5% 5.0% 3.6% 2.0% 4.2% 5.2% 5.2% 5.2%
GHANA 1.1% 0.3% 0.2% -0.2% 0.1% 1.6% 3.7% 4.3% 4.7%
GUINEA 2.5% 2.3% 2.3% 1.1% 0.8% 1.3% 6.7% 6.7% 6.8%
IVORY COAST 3.1% 3.0% 3.1% 3.7% 4.4% 4.3% 2.8% 2.4% 2.8%
KENYA 3.7% 3.5% 3.4% 4.3% 4.4% 4.5% 4.4% 3.4% 3.1%
LIBYA 2.3% 1.7% 1.4% 4.8% 3.4% 3.6% 3.4% 3.6% 3.7%
MADAGASCAR -3.8% -5.4% -0.2% 3.9% 6.3% 3.9% 4.5% 7.5% 8.5%
MALAWI 3.9% 4.9% 5.5% 0.8% 1.9% 1.7% 6.4% 6.4% 6.0%
MAURITIUS 3.9% 1.3% 3.3% 2.3% 2.9% 3.5% 5.8% 6.0% 5.7%
MOROCCO 4.0% 2.7% 4.0% 2.2% 2.0% 3.0% 6.7% 6.2% 6.6%
MOZAMBIQUE 2.5% 2.3% 2.3% 1.1% 0.8% 1.3% 6.7% 6.7% 6.8%
NAMIBIA 3.1% 3.0% 3.1% 3.7% 4.4% 4.3% 2.8% 2.4% 2.8%
NIGERIA 3.7% 3.5% 3.4% 4.3% 4.4% 4.5% 4.4% 3.4% 3.1%
Note: GDP change and inflation rate figures represent percentage change over the previous year.
R E G I O N N A M EData for 2018 Actual/Estimated
Data for 2019 Estimated
Data for 2020 Forecast
SAMPLE
GLOBAL COMPENSATION PLANNING REPORT — OCTOBER EDITION — SAMPLE15©2019 MERCER LLC.
S A L A R Y I N C R E A S E S E X C L U D I N G A N D I N C L U D I N G Z E R O E S
Note: Values represent Total Salary Increase Budgets (see Glossary for definition).
MARKET
ALL EMPLOYEES
EXCLUDING ZEROES (%) INCLUDING ZEROES (%)
2018 2019 2020 2018 2019 2020
ALGERIA 32.0% 4.4% 5.0% 5.0% 4.4% 5.0%
ANGOLA 5.5% 4.0% 5.6% 5.5% 4.0% 5.6%
BOTSWANA 3.9% 4.8% 5.2% 3.9% 4.8% 5.2%
CAMEROON 2.6% 2.9% 3.0% 2.5% 2.8% 3.0%
DEMOCRATIC REPUBLIC OF CONGO 5.0% 4.4% 5.0% 5.0% 4.4% 5.0%
EGYPT 4.9% 4.9% 5.0% 4.9% 4.9% 5.0%
ETHIOPIA 4.2% 4.0% 4.2% 4.2% 4.0% 4.2%
GABON 5.1% 5.0% 5.0% 5.1% 5.0% 5.0%
GHANA 2.9% 2.5% 2.6% 2.9% 2.5% 2.6%
GUINEA 4.0% 3.5% 3.3% 4.0% 3.5% 3.3%
IVORY COAST 4.2% 4.2% 4.5% 4.2% 4.2% 4.5%
KENYA 4.7% 4.5% 5.0% 4.7% 4.5% 5.0%
LIBYA 5.3% 5.4% 5.2% 5.3% 5.4% 5.2%
MADAGASCAR 5.4% 5.3% 5.3% 5.4% 5.3% 5.3%
MALAWI 5.5% 5.2% 5.0% 5.5% 5.2% 5.0%
MAURITIUS 4.6% 5.1% 6.0% 4.6% 5.1% 6.0%
MOROCCO 5.2% 5.3% 5.2% 5.2% 5.3% 5.2%
MOZAMBIQUE 4.6% 5.1% 6.0% 4.6% 5.1% 6.0%
Data for 2018 Actual
Data for 2019 Acutal/Forecast
Data for 2020 ForecastR E G I O N N A M E
SAMPLE
GLOBAL COMPENSATION PLANNING REPORT — OCTOBER EDITION — SAMPLE17©2019 MERCER LLC.
B O N U S E L I G I B I L I T Y, TA R G E T, A N D M A X I M U M
MARKET
EXECUTIVE MANAGEMENT
BONUS PROGRAM ELIGIBILITY
MEDIAN TARGET BONUS (% OF BASE
PAY)
MEDIAN MAXIMUM BONUS (% OF BASE
PAY)
BONUS PROGRAM ELIGIBILITY
MEDIAN TARGET BONUS (% OF BASE
PAY)
MEDIAN MAXIMUM BONUS (% OF BASE
PAY)
ALGERIA 92% 28% 25% 93% 16% 15%
ANGOLA 93% 24% 20% 81% 14% 12%
BOTSWANA 92% 30% 29% 88% 17% 15%
CAMEROON 92% 35% 37% 84% 15% 14%
DEMOCRATIC REPUBLIC OF CONGO 86% 30% 28% 80% 18% 16%
EGYPT 83% 25% 22% 83% 16% 15%
ETHIOPIA 93% 24% 20% 81% 14% 12%
GABON 79% 23% 19% 67% 14% 11%
GHANA 93% 22% 19% 74% 14% 13%
GUINEA 87% 20% 24% 69% 14% 14%
IVORY COAST 85% 25% 21% 82% 13% 12%
KENYA 67% 22% 20% 74% 13% 15%
LIBYA 84% 25% 25% 73% 15% 13%
MADAGASCAR 85% 24% 23% 81% 15% 14%
MALAWI 80% 27% 27% 87% 16% 17%
MAURITIUS 67% 22% 20% 74% 13% 15%
MOROCCO 84% 25% 25% 73% 15% 13%
MOZAMBIQUE 85% 24% 23% 81% 15% 14%
NAMIBIA 80% 27% 27% 87% 16% 17%
Note: Bonus program eligibility represents the percentage of companies that offer a bonus program to each career level.
R E G I O N N A M E
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E C O N O M I C T R E N D S
S A L A R Y R E V I E W F R E Q U E N C Y
G R O S S D O M E S T I C P R O D U C T C H A N G E
I N F L AT I O N R AT E U N E M P L O Y M E N T R AT E
2018 2018 20182019 2019 20192020 2020 2020
B A S E S A L A R Y I N C R E A S E S
S A L A R Y I N C R E A S E E F F E C T I V E D AT E
1st
2nd
3rd
16% JANUARY
14% MARCH
67% APRILONCE A YEAR
NO SET REVIEW DATE
MORE OFTEN
75%
20%
5%
1.4% 2.5% 2.7% 5.6% 6.5% 6.7% 11.7% 11.6% 12.3%
Data for 2018 Actual
Data for 2019 Estimated
Data for 2020 ForecastM A R K E T N A M E
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Data for 2018 Actual
Data for 2019 Actual
Data for 2020 Forecast
P E R C E N TA G E O F C O M PA N I E S R E P O R T I N G Z E R O S A L A R Y I N C R E A S E S
2018 2019 2020
ALL EMPLOYEES 5.9% 6.3% 5.0%
EXECUTIVE 8.1% 9.1% 6.7%
MANAGEMENT 6.5% 6.8% 4.6%
PROFESSIONAL SALES 6.1% 6.8% 4.6%
PROFESSIONAL NONSALES 5.8% 6.8% 4.6%
PARA-PROFESSIONAL WHITE COLLAR 6.0% 6.8% 4.6%
PARA-PROFESSIONAL BLUE COLLAR 5.6% 6.8% 4.6%
S A L A R Y I N C R E A S E S E X C L U D I N G A N D I N C L U D I N G Z E R O E S
MEDIAN SALARY INCREASES EXCLUDING ZEROES MEDIAN SALARY INCREASES INCLUDING ZEROES
2018 2019 2020 2018 2019 2020
ALL EMPLOYEES 2.6% 2.9% 3.0% 2.5% 2.8% 3.0%
EXECUTIVE 2.6% 2.9% 3.0% 2.5% 2.7% 3.0%
MANAGEMENT 2.6% 2.9% 3.0% 2.5% 2.8% 3.0%
PROFESSIONAL SALES 2.6% 2.9% 3.0% 2.5% 2.8% 3.0%
PROFESSIONAL NONSALES 2.6% 2.9% 3.0% 2.5% 2.8% 3.0%
PARA-PROFESSIONAL WHITE COLLAR 2.6% 2.9% 3.0% 2.5% 2.8% 3.0%
PARA-PROFESSIONAL BLUE COLLAR 2.5% 2.9% 3.0% 2.5% 2.8% 3.0%
Note: Values represent Total Salary Increase Budgets (see Glossary for definition).
M A R K E T N A M E
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ORGANIZATION PERFORMANCE
LENGTH OF SERVICE
INFLATION
POSITION IN SALARY RANGE
INDIVIDUAL PERFORMANCE
MARKET POSITION/COMPETITIVENESS
JOB LEVEL
FA C T O R S T H AT D E T E R M I N E I N D I V I D U A L S A L A R Y I N C R E A S E S
This market does not have a mandatory pay increase policy.
M A N D AT O R Y PAY I N C R E A S E S C H E M E S
61%
98%
61%
20%
8%
52%
70%
M A R K E T N A M E
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VA R I A B L E B O N U S B Y E M P L O Y E E L E V E L
S H O R T - T E R M I N C E N T I V E S
EXECUTIVE MANAGEMENT PROFESSIONAL SALES
PROFESSIONAL NONSALES
PARA- PROFESSIONAL WHITE COLLAR
PARA- PROFESSIONAL BLUE COLLAR
BONUS PROGRAM ELIGIBILITY 92% 84% 71% 71% – –
MEDIAN TARGET BONUS (% OF BASE PAY) 35% 15% 10% 10% – –
MEDIAN MAXIMUM BONUS (% OF BASE PAY) 37% 14% 11% 11% – –
F R E Q U E N C Y O F VA R I A B L E B O N U S PAY O U T S
ANNUALLY95% QUARTERLY4% 1% MONTHLY1% SEMI-ANNUALLY
D I F F I C U LT T O AT T R A C T J O B FA M I L I E S A N D L E V E L S
AT T R A C T I N G A N D R E TA I N I N G E M P L O Y E E S
JOB FAMILY LEVEL
FINANCE All Levels
PROJECT ENGINEERING All Levels
SALES All Levels
SALES & MARKETING All Levels
TOP MANAGEMENT All Levels
D I F F I C U LT T O R E TA I N J O B FA M I L I E S A N D L E V E L S
JOB FAMILY LEVEL
MARKETING All Levels
FINANCE All Levels
SALES All Levels
SALES & MARKETING All Levels
– –
M A R K E T N A M E
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D ATA S O U R C E S
E C O N O M I C D ATA
M A R K E T N A M E
YEAR SOURCE DATA TYPE EFFECTIVE DATE
GROSS DOMESTIC PRODUCT CHANGE
2018 International Monetary Fund, World Economic Outlook Database, October 2019 Actual October 2019
2019 International Monetary Fund, World Economic Outlook Database, October 2019 Estimated October 2019
2020 International Monetary Fund, World Economic Outlook Database, October 2019 Forecast October 2019
INFLATION RATE
2018 International Monetary Fund, World Economic Outlook Database, October 2019 Actual October 2019
2019 International Monetary Fund, World Economic Outlook Database, October 2019 Estimated October 2019
2020 International Monetary Fund, World Economic Outlook Database, October 2019 Forecast October 2019
UNEMPLOYMENT RATE
2018 International Monetary Fund, World Economic Outlook Database, October 2019 Actual October 2019
2019 International Monetary Fund, World Economic Outlook Database, October 2019 Estimated October 2019
2020 International Monetary Fund, World Economic Outlook Database, October 2019 Forecast October 2019
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YEAR SOURCE NUMBER OF PARTICIPANTS EFFECTIVE DATE
SALARY INCREASES
2018 Mercer's Salary Movement Snapshot, September 2018 43 August 2018
2019 Mercer's Salary Movement Snapshot, September 2019 43 August 2019
2020 Mercer's Salary Movement Snapshot, September 2019 43 August 2019
SHORT-TERM INCENTIVES
2019 Mercer's Total Remuneration Survey, 2019 79 May 2019
OTHER DATA (POLICY CONTENT RELATED TO SALARY INCREASES, STI, AND ATTRACTION & RETENTION)
2019 Mercer's Total Remuneration Survey, 2019 79 May 2019
S A L A R Y I N C R E A S E S , S H O R T - T E R M I N C E N T I V E S , O T H E R D ATA
D ATA S O U R C E S
M A R K E T N A M E
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This section provides information on the methods of collecting, collating, and analyzing data for this publication. Below are notes on exceptions and exclusions in the data, details on data sources, relevant equations, and currency conversion rates. Readers will also find a glossary of key terms.
M E T H O D O L O G YGCPR’s methodology primarily relies on proprietary Mercer data combined with a comprehensive review and update process. The report allows HR practitioners to easily understand the economic climate and market trends in the locations in which they have employees.
The salary increase data in the report provide insights into pay trends for budgeting and salary budget forecasts. These data are available for a period of three years overall, as well as for six specific career levels by country.
The GCPR October 2019 report covers salary increase information for the previous year (2018) and the current year (2019), as well as a forecast for the upcoming year (2020). The categorization of career levels is:
► All employees
► Executive
► Management
► Professional Sales
► Professional Nonsales
► Para-professional white collar
► Para-professional blue collar
The October edition includes updated information, where available, for:
► Economic trends
► Base salary increases
► Mandatory pay increase schemes
► Short-term incentives
► Attracting and retaining employees
A B O U T T H I S R E P O R T
U P D AT E P R O C E S SGCPR combines regional and local salary increase survey data to offer a global planning resource for Mercer’s clients. The basis for salary increase figures includes country survey data (TRS and SMS) and regional sources (such as the Latin America Economic Trends Report), which are locally and/or regionally peer reviewed, then integrated into GCPR. Regular quarterly reviews of GCPR-Online and in-between updates, if applicable, ensure that GCPR is up-to-date and provides the latest trends.
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DATA SOURCES
AFRICAGROSS DOMESTIC PRODUCT CHANGE — DATA SOURCE
2018 2019 2020
ALGERIA International Monetary Fund, World Economic Outlook Database, April 2019
International Monetary Fund, World Economic Outlook Database, April 2019
International Monetary Fund, World Economic Outlook Database, April 2019
ANGOLA International Monetary Fund, World Economic Outlook Database, April 2019
International Monetary Fund, World Economic Outlook Database, April 2019
International Monetary Fund, World Economic Outlook Database, April 2019
BOTSWANA International Monetary Fund, World Economic Outlook Database, April 2019
International Monetary Fund, World Economic Outlook Database, April 2019
International Monetary Fund, World Economic Outlook Database, April 2019
CAMEROON International Monetary Fund, World Economic Outlook Database, April 2019
International Monetary Fund, World Economic Outlook Database, April 2019
International Monetary Fund, World Economic Outlook Database, April 2019
DEMOCRATIC REPUBLIC OF CONGO
International Monetary Fund, World Economic Outlook Database, April 2019
International Monetary Fund, World Economic Outlook Database, April 2019
International Monetary Fund, World Economic Outlook Database, April 2019
EGYPT International Monetary Fund, World Economic Outlook Database, April 2019
International Monetary Fund, World Economic Outlook Database, April 2019
International Monetary Fund, World Economic Outlook Database, April 2019
ETHIOPIA International Monetary Fund, World Economic Outlook Database, April 2019
International Monetary Fund, World Economic Outlook Database, April 2019
International Monetary Fund, World Economic Outlook Database, April 2019
GABON International Monetary Fund, World Economic Outlook Database, April 2019
International Monetary Fund, World Economic Outlook Database, April 2019
International Monetary Fund, World Economic Outlook Database, April 2019
GHANA International Monetary Fund, World Economic Outlook Database, April 2019
International Monetary Fund, World Economic Outlook Database, April 2019
International Monetary Fund, World Economic Outlook Database, April 2019
GUINEA International Monetary Fund, World Economic Outlook Database, April 2019
International Monetary Fund, World Economic Outlook Database, April 2019
International Monetary Fund, World Economic Outlook Database, April 2019
IVORY COAST International Monetary Fund, World Economic Outlook Database, April 2019
International Monetary Fund, World Economic Outlook Database, April 2019
International Monetary Fund, World Economic Outlook Database, April 2019
KENYA International Monetary Fund, World Economic Outlook Database, April 2019
International Monetary Fund, World Economic Outlook Database, April 2019
International Monetary Fund, World Economic Outlook Database, April 2019
LIBYA International Monetary Fund, World Economic Outlook Database, April 2019
International Monetary Fund, World Economic Outlook Database, April 2019
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C U R R E N C Y C O N V E R S I O N R AT E S
COUNTRY CURRENCY CONVERSION
AFRICA CODE USD 1= EUR 1=
ALGERIA DZD DZD118.35 DZD137.86
ANGOLA AOA AOA285.39 AOA332.46
BOTSWANA BWP BWP10.79 BWP12.57
CAMEROON XAF XAF563.08 XAF655.95
DEMOCRATIC REPUBLIC OF CONGO CDF CDF1596.45 CDF1859.75
EGYPT EGP EGP17.90 EGP20.85
ETHIOPIA ETB ETB27.72 ETB32.30
GABON XAF XAF563.08 XAF655.95
GHANA GHS GHS4.78 GHS5.57
GUINEA GNF GNF9060.02 GNF10554.29
IVORY COAST XOF XOF563.08 XOF655.95
KENYA KES KES100.83 KES117.46
LIBYA LYD LYD1.38 LYD1.61
MADAGASCAR KES KES100.83 KES117.46
COUNTRY CURRENCY CONVERSION
AFRICA CODE USD 1= EUR 1=
MALAWI MWK MWK725.99 MWK845.73
MAURITIUS MUR MUR34.41 MUR40.08
MOROCCO MAD MAD9.41 MAD10.96
MOZAMBIQUE MZN MZN60.61 MZN70.61
NAMIBIA NAD NAD14.74 NAD17.17
NIGERIA NGN NGN361.90 NGN421.59
RWANDA RWF RWF870.95 RWF1014.60
SENEGAL XOF XOF563.08 XOF655.95
SOUTH AFRICA ZAR ZAR14.74 ZAR17.17
TANZANIA TZS TZS2284.06 TZS2660.77
TUNISIA TND TND2.78 TND3.24
UGANDA UGX UGX3789.97 UGX4415.06
ZAMBIA ZMW ZMW11.00 ZMW12.81
ZIMBABWE ZWL ZWL361.90 ZWL421.59
Note: Currency conversion rates as of October 5, 2019.SAMPLE
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G R O S S D O M E S T I C P R O D U C T ( G D P )The output of goods and services produced by labor and property. GDP has five main components: private consumption expenditure, fixed capital formation, increase in stocks, government consumption expenditure, and the net of exports of goods and services less imports of goods and services. The GDP data in this report refers to percentage change over the previous year’s GDP, at a constant price.
I N F L AT I O NA term that refers to increases in prices for a constant market basket of goods. It is the average annual change in the consumer price index, which may differ from end-of-year figures. The cause of inflation is a general increase in the money supply, without a corresponding increase in the amount of goods and services available.
U N E M P L O Y M E N T R AT EThe percentage of economically active persons wholly unemployed or temporarily laid off. Unemployment generally comprises all persons above a specified age who, during the reference period, were without work, currently available for work, and seeking work. National definitions of employment and unemployment differ from country to country.
E C O N O M I C M A R K E T
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Condition of SaleCopyright © 2019. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or be transmitted in any form or by any means, electronic or mechanical, photocopying, recording or otherwise, without the prior written permission of the publishers. No responsibility for loss occurring to any person acting or refraining from acting as a result of the material in this publication can be accepted by the authors or the publishers.
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