NSS 50th Round Household 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
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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
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
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.
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.
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]
6
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?
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
7
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-
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?
8
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
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.
9 Transportation mode by purposeTable name: nss50ce_transportation
Variable Type Contentsmode INTEGER Mode of transportation
1 = Train2 = Bus
purpose INTEGER Purpose1 =Work2 = Education3 = Other
10
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
11
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
12
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
13
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_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
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.
17
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
19
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
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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
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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
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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
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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
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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
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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
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C State-Region Code
State State-RegionCode Name Code Name27 Andaman and Nicobar Islands 271 Andaman and Nicobar Islands02 Andhra Pradesh 021 Coastal
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