NSS 50th RoundHousehold Consumption Expenditure

Shimpo Lab.Keio University

January 9, 2016

Contents

1 Tables 3

2 Common Variables for All Tables 3

3 Sampling information 3

4 Household characteristics 4

5 Housing conditions 6

6 Household crop production 8

7 Income source 8

8 Fruit consumption 10

9 Transportation mode by purpose 10

10 Adequacy of food intake 11

11 Insurance 11

12 Information on household members 11

13 Monthly expenditure on food and energy 12

14 Monthly and annual expenditure on clothing and footwear 13

15 Monthly and annual expenditure on education and health care 13

16 Monthly expenditure on miscllaneous goods and services 14

17 Monthly and annual expenditure on durable goods 14

18 Gift 14

19 Ceremony 15

1

20 Summary 15

21 Item Code 16

22 State Code 18

23 State-Region Code 18

24 District Code 18

A Item Code 19

B State Code 29

C State-Region Code 30

D District Code 32

E Programs 41

2

1 Tables

Database Table Contentsindia nss50ce_sampling Sampling informationindia nss50ce_hhd Household characteristicsindia nss50ce_housing Housing conditionsindia nss50ce_production Household crop productionindia nss50ce_income Income sourceindia nss50ce_fruits Fruits consumptionindia nss50ce_transportation Transportationindia nss50ce_adequacy Adequacy of food intakeindia nss50ce_insurance Insuranceindia nss50ce_members Information on household membersindia nss50ce_level5 Monthly expenditure on food and energyindia nss50ce_level6 Monthly and annual expenditure on clothng and footwearindia nss50ce_level7 Monthly and annual expenditure on education and health careindia nss50ce_level8 Monthly expenditure on miscellaneous goods and servicesindia nss50ce_level9 Monthly and annual expenditure on durable goodsindia nss50ce_gift Gift receivedindia nss50ce_ceremony Ceremonyindia nss50ce_summary Summaryindia nss50ce_itemcode Item codeindia nss50_state State code for NSS 50th roundindia nss50_strg State-region code for NSS 50th roundindia nss50_district District code for NSS 50th round

2 Common Variables for All Tables

Variable Type Contentshhdid TEXT Household ID = fsu + sstrm + hhd. See sampling information below.round TEXT Round number: 50schedule TEXT Schedule number: 1.0strg TEXT State-region codesec INTEGER Sector

1 = Rural2 = Urban

mults FLOAT Sub-sample multipliercmbmults FLOAT Combined multiplier

3 Sampling informationTable name: nss50ce_sampling

Variable Type Contentsss INTEGER Sub-sample

1 = Central2 = State

sample INTEGER Samplestrm INTEGER Stratum

3

Variable Type Contentssr INTEGER Sub-round number: 1, 2, 3, 4fsu TEXT FSU(First Stage Unit) codesstrm INTEGER Second stage struam: 1 or 2hhd TEXT Sample household numbervno INTEGER Sample sequanceinformant INTEGER Informants realation to head.

0 = Invalid1 = Head of household2 = Other member of the household9 = Others

rescd INTEGER Resopnd code.0 = Invalid1 = informant: cooperative and not busy: capable2 = informant: cooperative and not busy: not capable3 = informant: cooperative but busy4 = informant: reluctant: schedule too long5 = fatigue due to responses given for Sch.6 = other reason9 = others

svc INTEGER Survey code.1 = Original2 = Substitute3 = Casualty9 = Invalid

resubs INTEGER Reson for substitute.0 = Not reported properly1 = Informant busy2 =Members away from home3 = Informant non-cooperative9 = Others

suvdate TEXT Date of survey: DDMMYY

4 Household characteristicsTable name: nss50ce_hhd

Variable Type Contentshhdsz INTEGER Husehold size = Number of household membersnic TEXT National Industry Code: 3-digitnco TEXT National Occupation Code: 3-digitrlgn INTEGER Religion code.

0 = Invalid1= Hinduism2 = Islam3 = Christianity4 = Sikhism5 = Jainism6 = Buddhism7 = Zoroastrianism9 = Others

sgrp INTEGER Social group code.

4

Variable Type Contents0 = Invalid1 = Scheduled Tribe2 = Scheduled Caste9 = Others

cooking INTEGER Cooking code.0 = Invalid1 = Coke, coal2 = Firewood and chips3 = Gas(coal, oil or LPG)4 = Gobar gas5 = Dung cake6 = Charcoal7 = Kerosene8 = Others9 = No cooking arrangement

lighting INTEGER Lighting code.0 = Invalid1 = Kerosene2 = Other oil3 = Gas4 = Candle5 = Electricity8 = Others9 = No lighting arrangement

adult_male INTEGER No. of adult males in the householdadult_female INTEGER No. of adult females in the householdchild_male INTEGER No. of child males in the householdchild_female INTEGER No. of child females in the householdhead_age INTEGER The age of the head of the householdhead_sex INTEGER The gender of the head of the household.

0 = Not reported1 =Male2 = Female

consumer_unit FLOAT Consumer unitmpce30 FLOAT Mothly Per capita Consumption Expenditure(MPCE). Household con-

sumer expenditure over a period of 30 days divided by household size:[Rs.]

mpce30_class INTEGER MPCE class.Class Rural: [Rs.] Urban: [Rs.]

1. MPCE <120 MPCE <1602. 120 ≤MPCE < 140 160 ≤MPCE < 1903. 140 ≤MPCE < 165 190 ≤MPCE < 2304. 165 ≤MPCE < 190 230 ≤MPCE < 2655. 190 ≤MPCE < 210 265 ≤MPCE < 3106. 210 ≤MPCE < 235 310 ≤MPCE < 3557. 235 ≤MPCE < 265 355 ≤MPCE < 4108. 265 ≤MPCE < 300 410 ≤MPCE < 4909. 300 ≤MPCE < 355 490 ≤MPCE < 605

10. 355 ≤MPCE < 455 605 ≤MPCE < 82511. 455 ≤MPCE < 560 825 ≤MPCE <105512. 560 ≤MPCE 1055 ≤MPCE

5

Variable Type Contentscrop_production INTEGER How many types of crops did the household grow/cultivate among rice,

wheat, jowar, bajra, maize, barley, ragi, and gram?fruits_consumption INTEGER How many types of fruits did the members of household consume

among bananas, mangoes, citrus fruits, apples, grapes, and guavas?use_transporation INTEGER Did the household members use train or bus for work, education or other

purposes?1 = Yes2 = No

enoughfood INTEGER Do all members usually get two square meals?0 = Not reported1 = Yes - through out the year2 = Yes - some months of the year3 = No

not_suf_food_month INTEGER Numer of months when the household did not get enough food.ifask INTEGER Whether the question "Do all members get two square meals?" was ac-

tually asked from the informant?0 = Not reported1 = Yes2 = No

insurance INTEGER How many types of insurance o the household has among life in-surance, householder’s comprehensive insurance, fire & allied per-ils insurance(only), burglary(only) insurance, personal accident insur-ance(only), motor vehicle insurance, medical insurance, transit insur-ance, and other?

insurance_prem FLOAT Insurance annual premium total: [Rs.]ceremony INTEGER Did the household perform ceremonies?

1 = Yes2 = No

ceremony_meal INTEGER The number of meals served to guests in ceremony

5 Housing conditionsTable name: nss50ce_housing

Variable Type Contentsifownland INTEGER Whether owns any land?

1= Yes2 = No9 = Invalid

tpownland INTEGER Type of own land1 = Homestead only2 = Homestead & other land3 = Other land only9 = Invalid

land_own FLOAT Land owned: [ha]land_lsin FLOAT Land leased in: [ha]land_jstuse FLOAT Land neither owned nor leased in: [ha]land_lsout FLOAT Land leased out: [ha]landps FLOAT Total land possesed: [ha]cult_own FLOAT Caltivated land owned: [ha]cult_lsin FLOAT Caltivated land leased in: [ha]

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Variable Type Contentscult_jstuse FLOAT Cultivated land neither owned nor leased in: [ha]land_cult FLOAT Total caltivated land: [ha]land_irrg FLOAT Land irrigated: [ha]dwell_ownership INTEGER Does the household own any dwelling?

0 = Not reported1 = No dwelling2 = Owned3 = Quarter4 = Other hired accomodation9 = Others

dwell_area FLOAT How much is the covered area of the dwelling?: [ft2]dwell_land INTEGER Does the household possess any land?

1 = No land2 = Owned3 = Rented4 = Leased in9 = Others

dwell_type INTEGER Type of dwelling of the household1 = Independent house2 = Flat3 = Chawl / Bustee9 = Others

dwell_structure INTEGER Type of structure of the dwelling?1 = Pucca2 = Semi pucca3 = Katchcha9 = Not reported

dwell_floor INTEGER Floor type of dwelling1 =Mud2 = Bamboo, log3 =Wood, plank4 = Brick5 = Cement6 =Mosaic, tiles9 = Others

dwell_latrine INTEGER Type of latrine is being used by the household0 = Not reported1 = No latrine2 = Service latrine3 = Septic tank4 = Flush system9 = Others

dwell_water INTEGER Primary source of water0 = Not reported1 = Tap2 = Tubewell, handpump3 =Well4 = Tank, pond reserved for drinking5 = Other tank6 = River, canal, lake7 = Spring9 = Others

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Variable Type Contentsdwell_rent_actual FLOAT Monthly rent(actual): [Rs.]dwell_rent_imputed FLOAT Imputed rent(urban only): [Rs.]dwell_cond INTEGER Condition of the house

1 = Good2 = Satisfactory3 = Bad9 = Invalid

meal_guest INTEGER No. of meals served to guests(other than those served during ceremony)meal_employees INTEGER No. of meals served to employees(other than those served during cere-

mony)meal_nonmember INTEGER meal_gust + meal_employees

6 Household crop productionTable name: nss50ce_production

Variable Type Contentscommodity INTEGER Type of crops produced

1 = Rice2 =Wheat3 = Jowar4 = Bajra5 =Maize6 = Barley7 = Ragi8 = Gram

7 Income sourceTable name: nss50ce_income

Variable Type Contentsration_shop INTEGER Did the household purchase any commodity from ration/fair price shop

during last 30 days?0 = Not reported1 = Yes2 = No

pubwrk INTEGER Did any number of the household work for at least 60 days on publicworks during last 365 days?0 = Not reported1 = Yes2 = No

income_cult INTEGER During preceding 365 days did the household receive any income fromcultivation?0 = Not reported1 = Yes2 = No

income_fishing INTEGER During preceding 365 days did the household receive any income fromfishing?

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Variable Type Contents0 = Not reported1 = Yes2 = No

income_wage INTEGER During preceding 365 days did the household receive any income fromwage, salaried enterprise?0 = Not reported1 = Yes2 = No

income_nonagr INTEGER During preceding 365 days did the household receive any income fromnon agricultural enterprise?0 = Not reported1 = Yes2 = No

income_pension INTEGER During preceding 365 days did the household receive any income frompension?0 = Not reported1 = Yes2 = No

income_remit INTEGER During preceding 365 days did the household receive any income fromremittance?0 = Not reported1 = Yes2 = No

income_div INTEGER During preceding 365 days did the household receive any income frominterest & dividends?0 = Not reported1 = Yes2 = No

income_other INTEGER During preceding 365 days did the household receive any income fromothers?0 = Not reported1 = Yes2 = No

milch_animal INTEGER During preceding 365 days did the household receive any income frommilch animals?0 = Not reported1 = No2 = Yes, Cows3 = Yes, Buffaloes4 = Yes, Both cows and buffaloes9 = Yes, Others

draught_animal INTEGER During preceding 365 days did the household receive any income fromdraught animals?0 = Not reported1 = No2 = Yes, Single draught animal3 = Yes, A pair or more

irdp INTEGER Did the household receive any assistance during the last 5 years fromIRDP?0 = Not reported1 = No2 = Yes, Milch animal

9

Variable Type Contents3 = Yes, Draught animal4 = Yes, Sheep/goat5 = Yes, Pump set6 = Fish pond7 = Sewing machine9 = Others

crop_prodction INTEGER During the last agricultural year did the household grow/cultivate crops?1 = Yes2 = No

labor_crop INTEGER Does the household use hired labour for crop production?1 = Use of hired labour for crop production: regularly2 = Use of hired labour for crop production: during peak seasons only3 = Use of hired labour for crop production: casually4 = Hires no labour for crop production5 = No crop production9 = Invalid

labor_other INTEGER Does the household use hired labour for other productive enterprise?0 = Invalid1 = Hires labour: regularly2 = Hires labour: during peak seasons only3 = Hires labour: casually4 = Hires no labour for other productive enterprises5 = No other productive enterprise

8 Fruit consumptionTable name: nss50ce_fruits

Variable Type Contentscommodity INTEGER Tyep of fruits.

1 = Bananas2 =Mangoes3 = Citrus fruits4 = Apples5 = Grapes6 = Guavas

9 Transportation mode by purposeTable name: nss50ce_transportation

Variable Type Contentsmode INTEGER Mode of transportation

1 = Train2 = Bus

purpose INTEGER Purpose1 =Work2 = Education3 = Other

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10 Adequacy of food intakeTable name: nss50ce_adequacy

Variable Type Contentsmonth INTEGER The month in which all members did not get two square meals

11 InsuranceTable name: nss50ce_insurance

Variable Type Contentscode INTEGER Insurance code

1 = Life insurance2 = Householder’s comprehensive insurance3 = Fire & allied perils insurance(only)4 = Burglary indurance(only)5 = Personal accident insurance6 =Motor vehicle insurance7 =Medical insurance8 = Transit insurance9 = Other insurance

premium FLOAT Annual insurance premium: [Rs.]

12 Information on household membersTable name: nss50ce_members

Variable Type Contentspersln INTEGER Serial number of membersrelat INTEGER Relation to the head of household

0 = Not reported1 = Head2 = Spouse of head3 =Married child4 = Spouse of married child5 = Unmarried child6 = Grandchild7 = Father/mother/father-in-law/mother-in-law8 = Brother/sister/brother-in-law/sister-in-law/other relations9 = Servant/employee/or non-relatives

sex INTEGER Sex of the member1 =Male2 = Female

age INTEGER Age of the membermarsta INTEGER Marital status of the member

1 = Never married2 = Currently married3 =Widowed

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Variable Type Contents4 = Divorced/separated8 = Not reported

educn INTEGER Education of the member0 = Not reported1 = Not literate2 = Literate through attending: NFEC/AEC3 = TLC4 = Others5 = Literate but below primary6 = Primary7 =Middle8 = Secondary9 = Higher secondary10 = Graduate and above in agriculture11 = Graduate and above in engineering/technology12 = Graduate and above in medicine13 = Graduate and above in other subjects

days_away_home INTEGER Number of days the member has stayed away from home during the last30 days

meals_per_day INTEGER Number of meals usually taken in a day by the household?meals_school INTEGER Number of meals free of cost from school, balwadi etc. in a daymeals_work INTEGER Number of meals free of cost from employer in a daymeals_other INTEGER Number of meals free of cost from others in a daymeals_on_payment INTEGER Number of meals away from home on paymentmeals_at_home INTEGER Number of meals taken at home in a daysmoker INTEGER The member is smoker

0 = Not reported1 = Regular2 = Casual3 = Not consuming

zarda INTEGER The member chews zarda etc.0 = Not reported1 = Regular2 = Casual3 = Not consuming

snuff INTEGER The menber takes snuff0 = Not reported1 = Regular2 = Casual3 = Not consuming

tobacco_powder INTEGER The member burns tobacco powder0 = Not reported1 = Regular2 = Casual3 = Not consuming

13 Monthly expenditure on food and energyTable name: nss50ce_level5

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Variable Type Contentscode TEXT Item code: [3-dgit]qty30_cash FLOAT Cash purchase in the last 30 days – quantityval30_cash FLOAT Cash purchase in the last 30 days – value: [Rs.]qty30_home FLOAT Consumption out of home grown stock in the last 30 days – quantityval30_home FLOAT Consumption out of home grown stock in the last 30 days – value[Rs.]qty30 FLOAT Total consumption in the last 30 days – quantity

= qty30_cash + qty30_homeval30 FLOAT Total consumption in the last 30 days – value[Rs.]

= val30_cash + val30_home

14 Monthly and annual expenditure on clothing and footwearTable name: nss50ce_level6

Variable Type Contentsduration INTEGER Reporting periods

30 = 30 days365 = 365 days

code TEXT Item code: [3-digit]type INTEGER Cloth type code

0 = Not reported1 =Mill made2 = Powerloom3 = Handloom4 = Khadi5 =Wool6 = Art silk, Rayon or other synthetic textile7 = Pure silk8 =Mixed: wool/synthetic/ cootton/silk9 = OthersNULL = Footwear

qty_cash FLOAT Cash purchase – quantityval_cash FLOAT Cash purchase – value: [Rs.]qty_home FLOAT Consumption out of home grown stock – quantityval_home FLOAT Consumption out of home grown stock – value: [Rs.]qty FLOAT Total consumption - quantity= qty_cash + qty_homeval FLOAT Total consumption – value: [Rs.]= val_cash + val_home

15 Monthly and annual expenditure on education and health careTable name: nss50ce_level7

Variable Type Contentscode TEXT Item code: [3-digit]qty30 FLOAT Cash purchase in the last 30 days – quantityval30 FLOAT Cash purchase in the last 30 days – value: [Rs.]qty365 FLOAT Cash purchase in the last 365 days – quantity

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Variable Type Contentsval365 FLOAT Cash purchase in the last 365 days – value: [Rs.]

16 Monthly expenditure on miscllaneous goods and servicesTable name: nss50ce_level8

Variable Type Contentscode TEXT Item code: [3-digit]val30_cash FLOAT Cash purchase in the last 30 days – value: [Rs.]val30_cash_kind FLOAT Cash and kind purchase in the last 30 days – value: [Rs.]

17 Monthly and annual expenditure on durable goodsTable name: nss50ce_level9

Variable Type Contentsduration INTEGER Reporting periods

30 = 30 days365 = 365 days

code TEXT Item code: [3-digit]no_in_use INTEGER No. in use on the date of surveyqty_1st INTEGER First hand purchase: [number]hire_1st INTEGER Whether the item was first hand hire purchased?

0 = Not reported1 = Yes2 = No

val_cash_1st FLOAT First hand purchase – cash: [Rs.]val_cash_kind_1st FLOAT First hand purchase – cash and kind: [.Rs]cost_cash_1st FLOAT Cost of raw materials& services – cash: [Rs.]cost_cash_kind_1st FLOAT Cost of raw materials & services – cash & kind: [Rs.]total_cash_1st FLOAT Total consumption – cash: [Rs.]

= val_cash_1st + cost_cash_1sttotal_cash_kind_1st FLOAT Total consumption – cash & kind: [Rs.]

= val_cash_kind_1st + cost_cash_kind_1stqty_2nd INTEGER Second hand purchase: [number]val_cash_2nd FLOAT Second hand purchase – cash: [Rs.]val_cash_kind_2nd FLOAT Second hand purchase – cash & kind: [Rs.]

18 GiftTable name: nss50ce_gift

Variable Type Contentscode TEXT Item code: [3-digit]qty30_recv FLOAT Goods and services received in the last 30 days – quantityval30_recv FLOAT Goods and services received in the last 30 days – value: [Rs.]qty30_gift_given FLOAT Gift given in the last 30 days – quantity

14

Variable Type Contentsval30_gift_given FLOAT Gift given in the last 30 days – value: [Rs.]qty30_gift_recv FLOAT Gift received in the last 30 days – quantityval30_gift_recv FLOAT Gift received in the last 30 days – value: [Rs.]

19 CeremonyTable name: nss50ce_ceremony

Variable Type Contentsduration INTEGER Reporting periods

30 = 30 days365 = 365 days

srlno INTEGER Serial no. of ceremonycode TEXT Ceremony code

0 = No ceremony1 = Birth2 = Birthday3 = Head Shaving /Mundan4 = Annaprasan / First rice taking5 = Thread ceremony6 =Marriage7 =Marriage anniversary8 = Death9 = Other

meal INTEGER Meals served to the guests during the ceremonyexpend_food INTEGER Expenditure on foodexpend_clothing INTEGER Expenditure on clothing and footwearexpend_misc FLOAT Expenditure on miscellanwous goods and servicesexpend_durables FLOAT Expenditure on durable goodsexpend_other FLOAT Expenditure on other thingsexpend_total FLOAT Total expenditure

20 SummaryTable name: nss50ce_summary

Variable Type Contentsval30_189 FLOAT Cereals: [Rs.]val30_191 FLOAT Gram: [Rs.]val30_209 FLOAT Cereal substitutes: [Rs.]val30_229 FLOAT Pulses: [Rs.]val30_239 FLOAT Milk & milk products: [Rs.]val30_269 FLOAT Edible oils: [Rs.]val30_289 FLOAT Meet, fish and eggs: [Rs.]val30_339 FLOAT Vegetables: [Rs.]val30_359 FLOAT Fresh fruits: [Rs.]val30_369 FLOAT Dry fruits: [Rs.]val30_379 FLOAT Sugar: [Rs.]val30_389 FLOAT Salt: [Rs.]

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Variable Type Contentsval30_399 FLOAT Spices: [Rs.]val30_429 FLOAT Beverages, refreshments & processed food: [Rs.]val30_Food FLOAT Total expenditure on food: [Rs.]val30_439 FLOAT Pan: [Rs.]val30_449 FLOAT Tobacco: [Rs.]val30_459 FLOAT Intoxicants: [Rs.]val30_479 FLOAT Fuel & lights: [Rs.]val30_509 FLOAT Clothing: [Rs.]val30_519 FLOAT Footwear: [Rs.]val30_579 FLOAT Misc. consumer goods: [Rs.]val30_629 FLOAT Misc. consumer services: [Rs.]val30_639 FLOAT Rent: [Rs.]val30_649 FLOAT Taxes & cesses: [Rs.]val30_659 FLOAT Education: [Rs.]val30_669 FLOAT Medical expense – non-institutional: [Rs.]val30_679 FLOAT Medical expense – institutional: [Rs.]val30_819 FLOAT Durables: [Rs.]val30_NonFood FLOAT Non food total: [Rs.]val30_Total FLOAT Total expenditure: [Rs.]val365_509 FLOAT Clothing: [Rs.]val365_519 FLOAT Footwear: [Rs.]val365_659 FLOAT Education: [Rs.]val365_679 FLOAT Medical expense: institutional: [Rs.]val365_819 FLOAT Durables: [Rs.]

21 Item CodeTable name: nss50ce_itemcode

Variable Type Contentscode TEXT Item codename TEXT Name of the itemunit TEXT Unit of the itemtotal INTEGER The item is sub-total.

1 = Yes0 = No

pds INTEGER The item is distributed via Public Distribution System(PDS).1 = Yes0 = No

level3 INTEGER The item is level 3 item: Gift.1 = Yes0 = No

level5 INTEGER The item is level 5 item: Food and Energy.1 = Yes0 = No

level6 INTEGER The item is level 6 item: Clothing and Footwear.1 = Yes0 = No

level7 INTEGER The item is level 7 item: Education and Healthe Care.1 = Yes0 = No

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Variable Type Contentslevel8 INTEGER The item is level 8 item: Miscllaneous goods and services.

1 = Yes0 = No

level9 INTEGER The item is level 8 item: Durables.1 = Yes0 = No

summary TEXT Summary group code.189 = Cereals191 = Gram209 = Cereal substitutes229 = Pulses239 =Milk & milk products269 = Edible oils289 =Meet, fish and eggs339 = Vegetables359 = Fresh fruits369 = Dry fruits379 = Sugar389 = Salt399 = Spices429 = Beverages, refreshments & processed food439 = Pan449 = Tobacco459 = Intoxicants479 = Fuel & lights509 = Clothing519 = Footwear529 = Amusement579 =Misc. consumer goods629 =Misc. consumer services639 = Rent649 = Taxes & cesses659 = Education669 =Medical expense – non-institutional679 =Medical expense – institutional819 = Durables

tier1 = TEXT Broad aggregation groupsfood = Food and non-alcohol beverages.tobacco = Pan, tobacco, ganja, etc.alcohol = Alcohol drinks.utility = Fuel, electricity, and water charge.clothing = Clothing and footwear.transportation = Transportation fares and gasoline charges.housing = Housing rent.education = Education.health = Health care.others = Other non-durable goods and services.durables = Durable goods.

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22 State CodeTable name: nss50_state

Variable Type Contentsstate TEXT 2-digit State codename TEXT Name of the stateiso TEXT 2-digit ISO code of the state

23 State-Region CodeTable name: nss50_strg

Variable Type Contentsstate TEXT 2-digit State codestrg TEXT 3-digit State-region code. The first 2-digit is the state code.name TEXT Name of the state-region

24 District CodeTable name: nss50_district

Variable Type Contentsstate TEXT 2-digit State codestrg TEXT 3-digit State-region code. The first 2-digit is the state code.dist TEXT 2-digit District codename TEXT Name of the districdetail TEXT Details of the distric, if available.

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A Item Code

Level Code Name3,6,7,8,9 000 Not reported3,5 101 Paddy3,5 102 Rice - P.D.S.3,5 103 Rice: other sources3,5 104 Chira3,5 105 Khoi, lawa3,5 106 Muri3,5 108 Other rice products5 109 Rice: sub total(101-108)3,5 110 Wheat - P.D.S.3,5 111 Wheat - other sources3,5 112 Atta - P.D.S.3,5 113 Atta - other sources3,5 114 Maida3,5 115 Suji, rawa3,5 116 Sewai, noodles3,5 117 Bread (bakery)3,5 118 Other wheat products5 119 Wheat: sub total(110-118)3,5 120 Jowar - P.D.S.3,5 121 Jowar - other sources3,5 122 Jowar - products5 129 Jowar: sub total(120-122)5 130 Bajra - P.D.S.3,5 131 Bajra - other sources3,5 132 Bajra - products5 139 Bajra: sub total(130-132)3,5 140 Maize - P.D.S.3,5 141 Maize - other sources3,5 142 Maize - products5 149 Maize: sub total(140-142)3,5 150 Barley5 151 Barley products5 159 Barley: sub total(150+151)3,5 160 Small millets3,5 161 Small millets products5 169 Small millets: sub total(160+161)3,5 170 Ragi3,5 171 Ragi products5 179 Ragi:sub total(170+171)5 189 Total cereal: sub total(109+119+124+139+149+159+169+179)3,5 190 Gram(whole plain)3,5 191 Gram products5 199 Gram: sub total(190+191)3,5 200 Tapioca / sago3,5 201 Tapioca (green)3,5 202 Mahua3,5 203 Jackfruit seed

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Level Code Name3,5 208 Other cereal substitutes5 209 Cereal substitutes: sub total(200-208)3,5 210 Arhar(tur) - P.D.S.3,5 211 Arhar - other sources3,5 212 Gram (split) - P.D.S.3,5 213 Gram (split) - other sources3,5 214 Moong - P.D.S.3,5 215 Moong - other sources3,5 216 Masur - P.D.S.3,5 217 Masur - other sources3,5 220 Urd - P.D.S.3,5 221 Urd - other sources3,5 222 Khesari - P.D.S.3,5 223 Khesari - other sources3,5 224 Peas3,5 225 Soyabean3,5 226 Other pulses3,5 227 Besan3,5 228 Other pulse products5 229 Pulses and products: sub total(210-228)3,5 230 Milk - liquid3,5 231 Baby food3,5 232 Milk - condensed / powder3,5 233 Curd3,5 234 Ghee3,5 235 Butter3,5 236 Ice-cream3,5 238 Other milk products5 239 Milk and milk products: sub total(230-238)5 240 Vanaspati - P.D.S.3,5 241 Vanaspati - other sources5 242 Margarine5 243 Mustard oil - P.D.S.3,5 244 Mustard oil - other sources3,5 245 Groundnut oil - P.D.S.3,5 246 Ground nut oil - other sources5 247 Coconut oil - P.D.S.3,5 250 Coconut oil - other sources5 251 Gingelly (til) oil - P.D.S.3,5 252 Gingelly (til) oil - other sources3,5 253 Linseed oil - P.D.S.3,5 254 Linseed oil - other sources3,5 255 Refined oil - P.D.S.3,5 256 Refined oil - other sources5 257 Palm oil - P.D.S.5 260 Palm oil - other sources5 261 Rapeseed oil - P.D.S.5 262 Rapeseed oil - other sources3,5 263 Oilseeds5 268 Edibleoil(others)5 269 Edible oil: sub total(240-268)3,5 270 Goat meat

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Level Code Name3,5 271 Mutton3,5 272 Beef3,5 273 Pork5 274 Buffalo meat3,5 278 Other meat3,5 280 Chicken5 281 Other birds3,5 282 Eggs3,5 283 Egg products3,5 284 Fish (fresh)3,5 285 Fish (dry)5 286 Fish (canned)3,5 288 Others (specify)5 289 Meat, egg, fish: sub total(270-288)3,5 290 Potato3,5 291 Onion3,5 292 Radish3,5 293 Carrot3,5 294 Turnip3,5 295 Beet3,5 296 Sweet potato3,5 297 Arum3,5 298 Other root vegetables5 299 Root vegetable: sub total(290-298)3,5 300 Pumpkin3,5 301 Gourd3,5 302 Bitter gourd3,5 303 Cucumber3,5 304 Parwal / patal3,5 305 Jhinga / toral3,5 306 Snake gourd3,5 308 Other gourd5 309 Gourd: sub total(300-308)3,5 310 Cauliflower3,5 311 Cabbage3,5 312 Brinjal3,5 313 Lady’s finger3,5 314 Liwi / palak3,5 315 Other leafy vegetables3,5 316 French beans and barbati3,5 317 Tomato3,5 320 Peas3,5 321 Chilli (green)3,5 322 Capsicum3,5 323 Plantain (green)3,5 324 Jackfruit (green)3,5 325 Lemon3,5 328 Other vegetables5 329 Other vegetables: sub total(310-328)5 339 Vegetable (all): sub total(299+309+329)3,5 340 Banana3,5 341 Jackfruit

21

Level Code Name3,5 342 Water melon3,5 343 Pine apple3,5 344 Coconut3,5 345 Guava3,5 346 Singara3,5 347 Orange / mausami3,5 350 Mango3,5 351 Kharhooza3,5 352 Pears (naspati)3,5 353 Berries3,5 354 Leechi3,5 355 Apple3,5 356 Grapes3,5 358 Other fresh fruits5 359 Fruit (fresh): sub total(340-358)3,5 360 Coconut (copra)3,5 361 Groundnut3,5 362 Dates3,5 363 Cashew nut3,5 364 Walnut3,5 365 Other nuts3,5 366 Raisin (kishmish monacca etc.)3,5 368 Other dry fruits5 369 Fruits (dry): sub total(360-368)3,5 370 Sugar (crystal) - P.D.S.3,5 371 Sugar (crystal) - other sources3,5 372 Khandsari3,5 373 Gur(cane)5 374 Gur (others)3,5 375 Sugar candy (misri)5 376 Honey3,5 378 Sugar (others)5 379 Sugar: sub total(370-378)3,5 380 Sea salt5 388 Other salt5 389 Salt: sub total(380-388)3,5 390 Turmeric3,5 391 Black pepper3,5 392 Dry chillies3,5 393 Garlic3,5 394 Tamarind3,5 395 Ginger3,5 396 Curry powder3,5 398 Other spices5 399 Spices: sub total(390-398)3,5 400 Tea: cups3,5 401 Tea: leaf3,5 402 Coffee: cups3,5 403 Coffee: powder3,5 404 Ice3,5 405 Cold beverage: bottle or canned3,5 406 Fruit juice and shake

22

Level Code Name3,5 407 Coconut: green3,5 408 Other beverages (cocoa, chocolate, Boumvita, Ovaltine, Horlicks)5 409 Beverages: sub total(400-408)3,5 410 Biscuits and confectionery3,5 411 Salted refreshment3,5 412 Prepared sweets3,5 413 Cooked meals3,5 414 Cake, pastry3,5 415 Pickles3,5 416 Sauce3,5 417 Jam / jelly3,5 418 Other processed food5 419 Processed food: sub total(410-418)5 429 Beverages etc: sub total(409+419)3,5 430 Pan: leaf3,5 431 Pan: finished3,5 432 Supari3,5 433 Lime5 434 Katha3,5 438 Other ingredients for pan5 439 Pan: sub total(430-438)3,5 440 Bidi3,5 441 Cigarettes3,5 442 Leaf tobacco3,5 443 Snuff5 444 Hookah tobacco3,5 445 Cheroot3,5 446 Zarda, kimam, surfi3,5 448 Other tobacco products5 449 Tabacco: sub total(440-448)3,5 450 Ganja3,5 451 Toddy3,5 452 Country liquor5 453 Opium, bhang, charas3,5 454 Beer3,5 455 Foreign liquor or refined liquor3,5 458 Other drugs and intoxicants5 459 Intoxicants: sub total(450-458)3,5 460 Coke3,5 461 Firewood and chips3,5 462 Electricity3,5 463 Dung cake3,5 464 Kerosene - P.D.S.3,5 465 Kerosene - other sources3,5 466 Matches3,5 467 Coal - P.D.S.3,5 470 Coal - other sources5 471 Coal gas3,5 472 L.P.G.3,5 473 Charcoal5 474 Other oil used for lighting3,5 475 Candle

23

Level Code Name3,5 476 Methylated spirit5 477 Gobar gas3,5 478 Other fuel and light5 479 Fuel and light: sub total(460-478)3,6 480 Dhoti3,6 481 Sari3,6 482 Cloth for shirt, pyjama, salwar etc.3,6 483 Cloth for coat, trousers, overcoat etc.3,6 484 Chaddar, dupatta, wrapper, shawl etc.3,6 485 Lungi3,6 486 Gamchha, towel, handkerchief etc.3,6 487 Hosiery articles, stockings, undergarments etc.3,6 490 Ready made garments3,6 491 Headwear3,6 492 Knitted garments, sweater, pullover, cardigan, muffler, scarf etc.3,6 493 Bed sheet, bed cover3,6 494 Rug: blanket3,6 495 Pillow, quilt, matterss3,6 496 Cloth for upholstry, curtain, cloth etc.3,6 497 Mosquito net3,6 500 Mats and mattings3,6 501 Cotton, cotton yarn3,6 502 Knitting wool3,6 508 Clothing: others.6 509 Clothing: sub total (480-508)3,6 510 Leather boots shoes3,6 511 Leather sandals, chappals etc.3,6 512 Other leather footwear3,6 513 Rubber / PVC footwear3,6 518 Other footwear6 519 Footwear: sub total(510-518)3,8 520 Cinema, theatre8 521 Mela, fair picnic3,8 522 Sports goods, toys etc.8 523 Club fees3,8 524 Goods for recreation and hobbies8 525 Photography3,8 528 Other amusement8 529 Amusement: sub total (520-528)8 530 Spectacles8 531 Torch light3,8 532 Fountain pen8 533 Lock3,8 534 Umbrella, raincoat8 535 Walking stick etc.8 536 Lighter (bidi / cigarettes / gas stove)8 537 Sanitary napkin8 538 Other goods for personal care and effec8 539 Goods for personal care and effect: sub total(530-538)3,8 540 Toilet soap3,8 541 Toothbrush, tooth paste / tooth powder3,8 542 Powder, snow cream

24

Level Code Name3,8 543 Hair oil, lotion, shampoo, hair cream8 544 Comb3,8 545 Shaving blades, shaving slick8 546 Shaving-cream8 547 Other shaving requisites3,8 548 Other toilet articles8 549 Toilet articles: sub total(540-548)8 550 Electric bulb tube light3,8 551 Electric batteries8 552 Other non-durable electric goods8 553 Earthenware8 554 Glassware3,8 555 Plastic goods8 556 Coir, rope etc.3,8 557 Washing soap8 560 Washing soda3,8 561 Other washing requisites3,8 562 Agarbati3,8 563 Flower (fresh): all purposes8 564 Insecticide and related products3,8 568 Other petty articles8 569 Sundry articles: sub total(550-568)8 579 Miscellaneous consumer goods: sub total(529+539+549+569)8 580 Domestic servant / cook3,8 581 Sweeper3,8 582 Barber, beautician etc.3,8 583 Washerman, launderer8 584 Tailor3,8 585 Priest3,8 586 Legal expenses8 587 Postage and telegram3,8 590 Telephone charges8 591 Repair charges3,8 592 Miscellaneous expenses8 593 Pet animals3,8 598 Other consumer services8 599 Consumer services: sub total(580-598)3,8 600 Airways fare3,8 601 Railway fare3,8 602 Bus fare3,8 603 Taxi. auto-rickshaw fare8 604 Steamer, boat fare8 605 Rickshaw (hand drawn and cycle fare)8 606 Bullock cart fare8 607 Horse cart fare8 610 Hand operated cart fare8 611 Porter charges3,8 612 Petrol3,8 613 Diesel8 614 Lubricating oil8 615 Other imputed value of owned conveyance8 616 School bus / van fare

25

Level Code Name8 618 Other hired conveyance8 619 Conveyance: sub total(600-618)8 629 Misc. consumer services: sub total(599 + 619)3,8 630 House rent, garage rent3,8 631 Residential land rent3,8 632 Consumer rent (other goods)8 639 Rent: sub total(630-632)3,8 640 Consumer taxes and cesses3,8 641 Water charges3,8 648 Other taxes etc.8 649 Consumer taxes and cesses: sub total(640-648)3,7 650 Books, journals3,7 651 Newspapers, periodicals7 652 Library charges3,7 653 Stationary articles3,7 654 Tuition fees (school / college)7 655 Private tutor3,7 658 Other educational expenses7 659 Education: sub total(650-658)3,7 660 Medicine7 661 Family planning appliances7 662 X-Ray / ECG, pathological test etc.3,7 663 Doctor’s fees7 664 Nurse / midwife7 668 Other medical expenses7 669 Medical: sub total(660-668)3,7 670 Medicine7 671 X-ray, ECG, pathological test etc.3,7 672 Doctor’s / surgeon’s fee.7 673 Nurse / midwife3,7 674 Hospital charges7 675 Nursing home / polyclinic charges7 678 Other medical expenses7 679 Medical: sub total(670-678)3,9 690 Bedstead3,9 691 Almirah3,9 692 Dressing table3,9 693 Chair3,9 694 Coach. sofa3,9 695 Table.dcsk3,9 696 Stool. bench3,9 697 Suitcase, trunk, box. handbag and other travel goods9 700 Foam, ruhbercushion(dunlopillow type)9 701 Carpet. darce anti other floor matting3,9 702 Paintings, drawings, engravings etc.3,9 708 Other furniture and fixtures9 709 Furniture and fixtures: sub total(690-708)9 710 Gramophone and record player3,9 711 Radio3,9 712 Radiogram3,9 713 Television, VCR / VCP3,9 714 Camera and other photographic equipment

26

Level Code Name9 715 Tape recorder9 716 Hannonium9 717 Piano3,9 720 Muaical record, audio / video cassette9 721 Other musical instruments9 728 Other goods for recreation, entertainment and hobbies9 729 Goods for recreation: sub total(710-728)3,9 730 Gold ornaments3,9 731 Silver ornaments9 732 Jewels, pearls9 738 Other ornaments9 739 Jewellery and ornaments: sub total(730-738)3,9 740 Stainless steel utensils3,9 741 Bell metal utensils3,9 742 Copper utensils9 743 Aluminium utensils9 744 Iron utensils3,9 745 Brass utensils3,9 746 Enamel utensils3,9 747 Melamine crockery3,9 748 Other household utensils9 749 Household utensils: sub total(740-748)3,9 750 Electric fan9 751 Stove (pressure type / wick tvpe)3,9 752 Pressure cooker / pressure pan3,9 753 Non-sticking pan3,9 754 Geyser (hot water)3,9 755 Sewing machine3,9 756 Washing machine9 757 Refrigerator3,9 760 Air conditioner, air cooler3,9 761 Lantern, lamp, electric lampshade3,9 762 Electric iron. Heater, toaster, other electrical heating appliances3,9 763 Thcrmos / thermoware3,9 768 Ovewctc. and other cooking and house hold appliances / equipment9 769 Cooking and household appliances: sub total(750-768)3,9 770 Bicycle3,9 771 Motor cycle, scooter9 772 Motor car, jeep9 773 Tyres and tubes3,9 774 Perambulator9 778 Other transport equipment9 779 Personal transport equipment: sub total(770-778)9 780 Hearing aids3,9 781 Glass eyes artificial limbs, orthopaedic9 782 Surgical belts, trusses and supports9 783 Clinical thermometer3,9 788 Orherther:ipeu’iic appliances and equipment9 789 Therapeutic appifctna’s and equipment:3,9 790 Clock. watch3,9 791 Typewriter9 792 Electric hair drier and shaver

27

Level Code Name3,9 798 Any other personal goods9 799 Other personal goods: sub total(790-798)3,9 800 Residential building and land (cost of repairs only)3,9 808 Other durables (specify)9 809 Residential buikhng land and other durables: sub total(800+808)9 819 Durable goods: sub total(709+729+739+749+769+779+789+799+809)3 997 Food: sub total3 998 Non-food: sub total3 999 Total(food + non-food)

28

B State CodeCode ISO Name27 AN Andaman and Nicobar Islands02 AP Andhra Pradesh03 AR Arunachal Pradesh04 AS Assam05 BR Bihar28 CH Chandigarh29 DN Dadra and Nagar Haveli30 DD Daman and Diu31 DL Delhi06 GA Goa07 GJ Gujarat08 HR Haryana09 HP Himachal Pradesh10 JK Jammu and Kashmir11 KA Karnataka12 KL Kerala32 LD Lakshadweep13 MP Madhya Pradesh14 MH Maharashtra15 MN Manipur16 ML Meghalaya17 MZ Mizoram18 NL Nagaland19 OR Orissa33 PY Pondicherry20 PB Punjab21 RJ Rajasthan22 SK Sikkim23 TN Tamil Nadu24 TR Tripura25 UP Uttar Pradesh26 WB West Bengal

29

C State-Region Code

State State-RegionCode Name Code Name27 Andaman and Nicobar Islands 271 Andaman and Nicobar Islands02 Andhra Pradesh 021 Coastal

022 Inland Northern023 South-Western024 Inland Southern

03 Arunachal Pradesh 031 Arunachal Pradesh04 Assam 041 Plains Eastern

042 Plains Western043 Hills

05 Bihar 051 Southern052 Northern053 Central

28 Chandigarh 281 Chandigarh29 Dadra and Nagar Haveli 291 Dadra and Nagar Haveli30 Daman and Diu 301 Daman and Diu31 Delhi 311 Delhi06 Goa 061 Goa07 Gujarat 071 Eastern

072 Plains Northern073 Plains Southern074 Dry areas075 Saurashtra

08 Haryana 081 Eastern082 Western

09 Himachal Pradesh 091 Himachal Pradesh10 Jammu and Kashmir 101 Mountainous

102 Outer Hills103 Jhelam Valley

11 Karnataka 111 Coastal and Ghats112 Island Eastern113 Island Southern114 Island Northern

12 Kerala 121 Northern122 Southern

32 Lakshadweep 321 Lakshadweep13 Madhya Pradesh 131 Chhattisgarh

132 Vindhya133 Central134 Malwa135 South136 South-Western137 Northern

14 Maharashtra 141 Coastal142 Inland Western143 Inland Northern144 Inland Central

30

State State-RegionCode Name Code Name

145 Inland Eastern146 Eastern

15 Manipur 151 Plains152 Hills

16 Meghalaya 161 Meghalaya17 Mizoram 171 Mizoram18 Nagaland 181 Nagaland19 Orissa 191 Coastal

192 Southern193 Northern

33 Pondicherry 331 Pondicherry20 Punjab 201 Northern

202 Southern21 Rajasthan 211 Western

212 North-Eastern213 Southern214 South-Eastern

22 Sikkim 221 Sikkim23 Tamil Nadu 231 Coastal Northern

232 Coastal233 Southern234 Inland

24 Tripura 241 Tripura25 Uttar Pradesh 251 Himalayan

252 Western253 Central254 Eastern255 Southern

26 West Bengal 261 Himalayan262 Eastern Plains263 Central Plains264 Western Plains

31

D District Code

State State-Region DistrictCode ISO Name Code Name Code Name Details27 AN Andaman and Nico-

bar Islands271 Andaman and Nico-

bar Islands01 Andaman

02 Nicobar02 AP Andhra Pradesh 021 Coastal 01 Srikakulam

02 Vizianagaram03 Vishakhapatnam04 East Godavari05 West Godavari06 Krishna07 Guntur08 Prakasam09 Nellore

022 Inland Northern 14 Mahbubnagar15 Rangareddy16 Hyderabad17 Medak18 Nizamabad19 Adilabad20 Karimnagar21 Warangal22 Khammam23 Nalgonda

023 South-Western 12 Anantapur13 Kurnool

024 Inland Southern 10 Chittoor11 Cuddapah

03 AR Arunachal Pradesh 031 Arunachal Pradesh 01 Tawang02 West Kameng03 East Kameng04 Lower Subansiri05 Upper Subansiri06 West Siang07 East Siang08 Dibang09 Lohit10 Tirap11 Changlong

04 AS Assam 041 Plains Eastern 04 Bongaigaon05 Barpeta06 Nalbari09 Sonitpur10 Lakhimpur12 Morigaon16 Sibsagar17 Dibrugarh18 Tinsukia23 Cachar

042 Plains Western 01 Dhubri04 Goalpara07 Kamrup08 Darrang11 Dhemaji13 Nowgong14 Golaghat15 Jorhat21 Karimgang22 Hailakandi

043 Hills 02 Kokrajhar04 North Cachar19 Karbianglong

32

State State-Region DistrictCode ISO Name Code Name Code Name Details

20 Hills05 BR Bihar 051 Southern 28 Godda

29 Sahibaganj30 Dumka31 Deoghar32 Dhanbad33 Giridih34 Hazaribagh35 Palamau36 Lohardaga37 Gumla38 Ranchi39 Pubri40 Paschim Singhbhum

052 Northern 09 Saran10 Siwan11 Gopalganj12 West Champaran13 East Champaran14 Sitamari15 Muzaffarpur16 Vaishali18 Samastipur19 Darbhanga20 Madhubani21 Saharsa22 Madhepura23 Purnea24 Katihar41 Araria42 Kishanganj

053 Central 01 Patna02 Nalanda03 Bhojpur04 Rohtas05 Aurangabad06 Jehanabad07 Gaya08 Nawada17 Begusarai25 Khagaria26 Munger27 Bhagalpur

28 CH Chandigarh 281 Chandigarh 01 Chandigarh29 DN Dadra and Nagar

Haveli291 Dadra and Nagar

Haveli01 Dadra and Nagar

Haveli30 DD Daman and Diu 301 Daman and Diu 01 Daman

02 Diu31 DL Delhi 311 Delhi 01 Delhi06 GA Goa 061 Goa 01 Goa North

02 Goa South07 GJ Gujarat 071 Eastern 09 Sabar Kantha Khedbrahma, Vi-

jaynagar, Bhiloda,Meghraj

14 Panch Mahals Limkheda, Dohad,Jhalod, Santrampur

15 Vadodara Nasvadi, Tilakwada,Chhota Udaipur, Jet-pur Pavi

16 Bharuch Anklesvar, Valia,Dediapada, Sagbara,Nandod

33

State State-Region DistrictCode ISO Name Code Name Code Name Details

17 Surat Vyara,Mahuva,Valod, Nizar,Songadh, Mandvi,Uchchhal, Mangrol,Bardoli, Palsana

18 Valsad Chikhli Dharampur,Bansda, Umbergaon,Pardi, Valsad

19 The Dangs072 Plains Northern 09 Sabar Kantha Prantij, Modasa,

Malpur, Himatnagar,Bayad, Idar

10 Mahesana Mahesana, Kadi,Patan, Sidhpur, Kher-alu, Kalol, Visnagar,Vijapur

11 Gandhinagar12 Ahmedabad13 Kheda

073 Plains Southern 14 Panch Mahals Halol, Kalol, Godhra,Shehera, Lunawada,Devgadbaria, Jam-bughoda

15 Vadodara Vadodara,Savli, Dab-hoi, Karjan, Padra,Sinor, Vaghodia,Sankheda

16 Bharuch Hansot, Vagra, Amod,Jambusar, Bharuch,Jhagadia

17 Surat Chorasi, Kamrej, Ol-pad

18 Valsad Navsari, Gandevi074 Dry areas 03 Surendranagar

07 Kachchh08 Bans Kantha10 Mahesana Chanasma, Sami,

Harij075 Saurashtra 01 Jamnagar

02 Rajkot04 Bhavnagar05 Amreli06 Junagadh

08 HR Haryana 081 Eastern 01 Ambala02 Yamuna Nagar03 Kurukshetra04 Kaithal05 Karnal06 Panipat07 Sonipat08 Rohtak09 Faridabad10 Gurgaon

082 Western 11 Rewari12 Mahendragarh13 Bhilwani14 Jind15 Hisar16 Sirsa

09 HP Himachal Pradesh 091 Himachal Pradesh 01 Chamba02 Kangra03 Hamirpur04 Una05 Bilaspur

34

State State-Region DistrictCode ISO Name Code Name Code Name Details

06 Mandi07 Kulu08 Lahaul and Spiti09 Shimla10 Solan11 Sirmapur12 Kinnaur

10 JK Jammu and Kashmir 101 Mountainous 11 Kathus12 Jammu

102 Outer Hills 09 Doda10 Udhampur13 Rajouri14 Poonch

103 Jhelam Valley 01 Anantnag02 Pulwama03 Srinagar04 Badgam05 Barmula06 Kupwar07 Kargil08 Ladakh

11 KA Karnataka 111 Coastal and Ghats 09 Dakshin Kannad20 Uttar Kannad

112 Island Eastern 07 Chikmagalur12 Hassan13 Kodagu18 Shimoga

113 Island Southern 01 Bangalore Urban02 Bangalore Rural14 Kolar15 Mandya16 Mysore19 Tumkur

114 Island Northern 03 Belgaum04 Bellary05 Bidar06 Bijapur08 Chitradurga10 Dharwad11 Gulbarga17 Raichur

12 KL Kerala 121 Northern 01 Kasargod02 Kannur03 Wayanad04 Kozhikode05 Malapuram06 Palakkad

122 Southern 07 Trichur08 Ernakulam09 Idukki10 Kottayam11 Alappuzm12 Pathanamthitta13 Kollam14 Thiruvananthapuram

32 LD Lakshadweep 321 Lakshadweep 01 Lakshadweep13 MP Madhya Pradesh 131 Chhattisgarh 39 Surguja

40 Bilaspur41 Raigarh42 Raj Nandgaon43 Durg44 Raipur45 Bastar

132 Vindhya 07 Tikamgarh

35

State State-Region DistrictCode ISO Name Code Name Code Name Details

08 Chhatarpur09 Panna12 Satna13 Rewa14 Shahdol15 Sidhi

133 Central 10 Sagar11 Damoh27 Vidisha28 Bhopal29 Sehore30 Raisen

134 Malwa 16 Mandsaur17 Ratlam18 Ujjain19 Shajapur20 Dewas21 Jhabua22 Dhar23 Indore26 Rajgarh

135 South 33 Jabalpur34 Narsimhapur35 Mandla36 Chhindwara37 Seoni38 Balaghat

136 South-Western 24 Khargone West Nimar25 Khandwa East Nimar31 Betul32 Hoshangabad

137 Northern 01 Morena02 Bhind03 Gwalior04 Datia05 Shivpuri06 Guna

14 MH Maharashtra 141 Coastal 01 Greater Bombay02 Thane03 Raigarh Kulaba04 Ratnagiri05 Sindhudurg

142 Inland Western 09 Ahmadnagar10 Pune11 Satara12 Sangli13 Solapur14 Kolhapur

143 Inland Northern 06 Nashik07 Dhule08 Jalgaon

144 Inland Central 15 Aurangabad16 Jalna17 Parbhani18 Bid19 Nanded20 Osmanabad21 Latur

145 Inland Eastern 22 Buldana23 Akola24 Amravati25 Yavatmal26 Wardha27 Nagpur

36

State State-Region DistrictCode ISO Name Code Name Code Name Details

146 Eastern 28 Bhandara29 Chandrapur30 Gadchiroli

15 MN Manipur 151 Plains 05 Thoubal06 Bishnupur07 Imphal

152 Hills 01 Senapati02 Tamenglong03 Churachandpur04 Chandel08 Ukhrul

16 ML Meghalaya 161 Meghalaya 01 Jaintia Hills02 East Khasi Hills03 West Khasi Hills04 East Garo Hills05 West Garo Hills

17 MZ Mizoram 171 Mizoram 01 Aizawl02 Lunglei03 Chhimtuipui

18 NL Nagaland 181 Nagaland 01 Kohima02 Phek03 Zunheboto04 Wokha05 Mukokchung06 Tuensang07 Mon

19 OR Orissa 191 Coastal 05 Baleshwar06 Cuttack12 Ganjam13 Puri

192 Southern 08 Phulbani10 Kalahandi11 Koraput

193 Northern 01 Sambalpur02 Sundargarh03 Keonjhar04 Mayurbhanj07 Dhenkanal09 Bolangir

33 PY Pondicherry 331 Pondicherry 01 Pondicherry02 Karaikal03 Mahe04 Yanam

20 PB Punjab 201 Northern 01 Gurdaspur02 Amritsar04 Ludhiana05 Jalandhar06 Kapurthala07 Hoshiarpur08 Rupnagar Ropar

202 Southern 03 Firozpur09 Patiala10 Sangrur11 Bhatinda12 Faridkot

21 RJ Rajasthan 211 Western 01 Ganganagar02 Bikaner03 Churu13 Jaisalmer14 Jodhpur15 Nagaur16 Pali17 Barmer18 Jalor

37

State State-Region DistrictCode ISO Name Code Name Code Name Details

19 Sirohi212 North-Eastern 04 Jhunjhuna

05 Alwar06 Bharatpur07 Dholpur08 Sawai Madhopur09 Jaipur10 Sikar11 Ajmer12 Tonk20 Bhilwara

213 Southern 21 Udaipur23 Dungarpur24 Banswara

214 South-Eastern 22 Chittaurgarh25 Bundi26 Kota27 Jhalawar

22 SK Sikkim 221 Sikkim 01 North Mangam02 East Gangtok03 South Nimachi04 West Gyalshing

23 TN Tamil Nadu 231 Coastal Northern 01 Madras02 Chengai Anna Chengalpattu03 North Arcot Ambedhkar05 Sambuvarayar06 South Arcot Thiruvannamalai

232 Coastal 12 Tiruchirpalli13 Thanjavur14 Pudukkottai

233 Southern 11 Dindigul-quaide Mil-leth

Anna

15 Pasupomthevar Thiru-maganar

Pasumpon Mathuam-lingam

16 Madurai17 Ramanathapuram18 Kamarajar19 V.O.Chidambaram20 Tirunelveli Kottabom-

man21 Kannyia Kumari

234 Inland 04 Dharmapuri07 Salem08 Periyar09 Nilgiri10 Coimbatore

24 TR Tripura 241 Tripura 01 West Tripura02 North Tripura03 South Tripura

25 UP Uttar Pradesh 251 Himalayan 01 Uttar Kashi02 Chamoli03 Tehri Garhwal04 Dehra Dun05 Garhwal05 Bareilly06 Pithoragarh07 Almora08 Nainital

252 Western 09 Bijnor10 Moradabad11 Rampur12 Saharanpur13 Hardwar14 Muzaffarnagar

38

State State-Region DistrictCode ISO Name Code Name Code Name Details

15 Meerut16 Ghaziabad17 Shahjahanpur17 Bulandshahr18 Aligarh19 Mathura20 Agra21 Firozabad22 Etah23 Mainpuri24 Budaun26 Pilibhit34 Farrukhabad35 Etawah63 Sonbadra

253 Central 28 Kheri29 Sitapur30 Hardoi31 Unnao32 Lucknow33 Rai Bareli36 Kanpur Dehat37 Kanpur Nagar43 Fatehpur48 Bara Banki

254 Eastern 44 Pratapgarh45 Allahabad46 Bahraich47 Gonda49 Faizabad50 Sultanpur51 Sidhartha Nagar52 Maharajganj53 Basti54 Gorakhpur55 Deeria56 Maunath Bhanjan57 Azamgarh58 Jaunpur59 Ballia60 Ghazipur61 Varanasi62 Mirzapur

255 Southern 38 Jalaun39 Jhansi40 Lalitpur41 Hamirpur42 Banda

26 WB West Bengal 261 Himalayan 01 Kochbihar02 Jalpaiguri03 Darjiling

262 Eastern Plains 04 West Dinajpur05 Maldah06 Murshidabad07 Nadia17 Birbhum

263 Central Plains 08 24-Parganas North09 24-Parganas South10 Calcutta11 Howrah12 Hooghly16 Burdwan

264 Western Plains 13 Midnapur14 Bankura

39

State State-Region DistrictCode ISO Name Code Name Code Name Details

15 Puruliya

40

E ProgramsProgram Input Outputwk_HH.py D354HHR.TXT nss50ce_sampling

D354HHU.TXT nss50ce_hhdnss50ce_housingnss50ce_productionnss50ce_incomenss50ce_fruitsnss50ce_transportationnss50ce_adequacynss50ce_insurance

wk_L04.py D150L04R.TXT nss50ce_membersD150L04U.TXT

wk_L05.py D150L04R.TXT nss50ce_level5D150L04U.TXT

wk_L03.py D150L03R.TXT nss50ce_giftD150L03U.TXT

wk_L060914.py D671014R.TXT nss50ce_level6D671014U.TXT nss50ce_level9

nss50ce_ceremonywk_L0809.py D150L89R.TXT nss50ce_level7

D150L89U.TXT nss50ce_level8wk_L15.py D376SUMR.TXT nss50ce_summary

D376SUMU.TXTitemcode_entry.r nss50_itemcode.txt nss50ce_itemcode

nss50_itemcode.texstate.r state.txt nss50_state

state-region.txt nss50_strgdistrict.txt nss50_district

nss50_state.texnss50_strg.texnss50_district.tex

41