The NSS 43th round: Consumer Expenditure for July 1987 - June 1988
| Table Name | Contents |
|---|---|
| Common items | Identifiction of sample households. These items are common for all tables. |
| nss43ce_hhd | Household characteristics. Particulars of dwelling unit. Particulars of ceremonies performed and meals served by the household during the last 30. |
| nss43ce_member | Particulars of household members. |
| nss43ce_food_enenrgy | Cash purchase and consumption of food, pan, tobacco, intoxicants and fuel and light during the last 30 days. |
| nss43ce_clothing30, nss43ce_clothing365 | Cash purchase and consumption of clothing during the last 30 and 365 days. |
| nss43ce_footwear30, nss43ce_footwear365 | Cash purchase and consumption of footwear during the last 30 and 365 days. |
| nss43ce_misc | Expenditure (cash and kind) on the miscellaneous goods and services and rents & taxes during the last 30 days. |
| nss43ce_durables30, nss43ce_durables365 | Expenditure (cash and kind) for purchase and construction (including repair) of durable goods for domestic use during the last 30 and 365 days. |
| nss43ce_comcode | Commodity code table. |
| nss43ce_state | State-Region code table. |
Common items
Identification of sample household
| Variable Name | Type | Description |
|---|---|---|
| id | int | Id number. |
| hhdid | char(8) | Household id number. |
| round | tinyint unsigned | Round number. |
| schedule | tinyint unsigned | Scedyle numver. |
| sample | tinyint unsigned | Sample ; central=1, state=2 |
| sec | tinyint unsigned | Sector : Rural=1, Urban=2 |
| fsu | char(5) | Sample village/block no. |
| strg | char(3) | State-Region code |
| strm | char(2) | Stratum number |
| ss | tinyint unsigned | Sub-sample : central=1, state=2 |
| svb | char(3) | Sample village/block. |
| sr | tinyint unsigned | Sub-round number |
| sstrm | tinyint unsigned | Sub-stratum number |
| hhd | char(2) | Sample household no. |
| level | char(2) | Level number. (Record type) |
| adultm | char(2) | Number of Adult male |
| adultf | char(2) | Number of Adult female |
| childm | char(2) | Number of child male |
| childf | char(2) | Number of child female |
| mpce_code | char(2) | Per capita expenditure code |
| hhdtp | tinyint unsigned | Household type. For rural areas, 1 = self-employed in non-agricultural labor, 2 = agricultural labor, 3 = other labor, 4 = self-employed in agriculture, 9 = others. For urban areas, 1 = self-employed, 2 = regular wage/salary earning, 3 = casual labpr, 9 = others. |
| sgrp | tinyint unsigned | Social group. 1 = scheduled tribe, 2 = scheduled caste, 3 = neo-Buddhist, 9 = others. |
| ifownland | tinyint unsigned | Land possessed code |
| size_code | tinyint unsigned | Size class of code |
| mults | float | Multiplier |
| consumer_unit | char(4) | Consumer unit |
| age_head | tinyint unsigned | Age of head |
| nic | char(3) | Principal industry code: NIC=1970 |
| nco | char(3) | Principal occupation code: NCO-1968 |
| mpce30 | float | Per capita expenditure last month |
The variables, nic and nco are not available for nss43ce_member, nss43ce_misc, nss43ce_durables and nss50ce_durables35.
nss43ce_hhd
Household characteristics. Perception of household regarding sufficiency of food. Insurance particulars of the household during the last 365 days. Particulars of dwelling unit.
| Variable Name | Type | Description |
|---|---|---|
| dist | char(2) | District code |
| sex_head | tinyint unsigned | Sex of head code. 1 = male, 2 = female. |
| ssc | tinyint unsigned | Survey sequence code. 1 = first=1, 2 = second. |
| info | tinyint unsigned | Informant code. 1 = head of household, 2 = other member of household, 9 = others. |
| info_type | tinyint unsigned | Type of informant code. 1 = cooperative & capable, 2 = cooperative but not capable, 3 = busy, 4 = reluctant, 9 = others. |
| svc | tinyint unsigned | Survey code. 1 = original household surveyed, 2 = substitute household surveyed, 3 = nothing surveyed. |
| resubs | tinyint unsigned | Reason for casualty code. 1 = informant busy, 2 = members away from home, 3 = informant non-cooperative, 9 = others. |
| hhdsz | char(3) | Household size |
| nic | char(3) | Principal industry code: NIC=1970 |
| nco | char(3) | Principal occupation code: NCO-1968 |
| hhdtp0 | tinyint unsigned | Household type. For rural areas, 1 = self-employed in non-agricultural labor, 2 = agricultural labor, 3 = other labor, 4 = self-employed in agriculture, 9 = others. For urban areas, 1 = self-employed, 2 = regular wage/salary earning, 3 = casual labpr, 9 = others. |
| rlgn | tinyint unsigned | Religion. 1 = Hinduism, 2 = Islam, 3 = Christianity, 4 = Sikhism, 5 = Janism, 6 = Buddhism, 7 = Zoroastrianism, 9 = others. |
| sgrp0 | tinyint unsigned | Social group. 1 = scheduled tribe, 2 = scheduled caste, 3 = neo-Buddhist, 9 = others. |
| tpownland | tinyint unsigned | Homestead type. 1 = owned, 9 = others. |
| land_own | float | Land owned in hectares |
| land_lsin | float | Land leased-in in hectares |
| land_jstuse | float | Land neither owned nor leased-in in hectares |
| land_lsout | float | Land leased-out in hectares |
| landps | float | Land possessed in hectares |
| cult_own | float | Land cultivated owned in hectares. |
| cult_lsin | float | Land cultivated leased-in in hectares |
| cult_jstuse | float | Land cultivated neihter owned nor leased-in in hectares. |
| land_cult | float | Land cultivated in hectares. |
| land_irrg | float | Land irrigated in hectares. |
| crop_labor | tinyint unsigned | Use of hired labor for crop production. 1 = regularly, 2 = during peak season only, 3 = casually, 4 = hires no labor, 5 = no crop production. |
| other_labor | tinyint unsigned | Use of hired labor for other productive enterprises. 1 = regularly, 2 = during peak season only, 3 = casually, 4 = hires no labor, 5 = no other productive enterprise. |
| mpce30 | float | Per capita expenditure last month |
| cooking | tinyint unsigned | Primaly source of energy for cooking. 1 = coke, coal, 2 = fire wood and chips, 3 = gas(coal, oil or natural), 4 = gobar gas, 5 = dung cake, 6 = charcoal, 7 = kerosene, 8 = electricity, 9 = others. |
| lighting | tinyint unsigned | Primary source of energy for lighting. 1 = kerosene, 2 = other oil, 3 = gas, 4 = candle, 5 = electricity, 9 = others. |
| grow_rice | tinyint unsigned | During the last agricultural year did the household grow/cultivate rice? 1 = yes, 2 = no. |
| grow_wheat | tinyint unsigned | During the last agricultural year did the household grow/cultivate wheat? 1 = yes, 2 = no. |
| grow_jowar | tinyint unsigned | During the last agricultural year did the household grow/cultivate maize? 1 = yes, 2 = no. |
| grow_bajra | tinyint unsigned | During the last agricultural year did the household grow/cultivate Bajra? 1 = yes, 2 = no. |
| grow_maize | tinyint unsigned | During the last agricultural year did the household grow/cultivate maize? 1 = yes, 2 = no. |
| grow_barley | tinyint unsigned | During the last agricultural year did the household grow/cultivate barley? 1 = yes, 2 = no. |
| grow_ragi | tinyint unsigned | During the last agricultural year did the household grow/cultivate ragi? 1 = yes, 2 = no. |
| grow_gram | tinyint unsigned | During the last agricultural year did the household grow/cultivate gram? 1 = yes, 2 = no. |
| pubwrk | tinyint unsigned | Did any member of housejold work for at least 60 days on public works during last 365 days? 1 = yes, 2 = no. |
| income_cult | tinyint unsigned | During the preceding 365 days did the household receive any income from cultivation? 1 = yes, 2 = no. |
| income_othagr | tinyint unsigned | During the preceding 365 days did the household receive any income from fishing/other agricultural enterprise? 1 = yes, 2 = no. |
| income_wage | tinyint unsigned | During the preceding 365 days did the household receive any income from wage/salaried employment? 1 = yes, 2 = no. |
| income_nonagr | tinyint unsigned | During the preceding 365 days did the household receive any income from non-agricultural enterprises? 1 = yes, 2 = no. |
| income_pension | tinyint unsigned | During the preceding 365 days did the household receive any income from pension? 1 = yes, 2 = no. |
| income_remit | tinyint unsigned | During the preceding 365 days did the household receive any income from remittances? 1 = yes, 2 = no. |
| income_div | tinyint unsigned | During the preceding 365 days did the household receive any income from interest and dividends? 1 = yes, 2 = no. |
| income_other | tinyint unsigned | During the preceding 365 days did the household receive any income from others? 1 = yes, 2 = no. |
| irdp | tinyint unsigned | Did the household receive any assistance during the last 5 years from IRDP? 1 = no, 2 = milch animal, 3 = draught animal, 4 = sheep/goat, 5 = pumpset, 6 = fish-pond, 7 = sewing machine, 9 = others. |
| milch_animal | tinyint unsigned | Does the household possess milch animals? 0 = no, 1 = cows, 2 = buffaloes, 3 = both cows and buffaloes, 9 = other. |
| draught_animal | tinyint unsigned | Does the household possess draught animals? 1 = pair or more, 2 = singl, 0 = none. |
| fair_price_shop | tinyint unsigned | Did the household purchase any commodity from ration/fair price shop during last 30 days? 1 = yes, 2 = no. |
| cons_alcohol | tinyint unsigned | During the last 30 days the household consume alcoholic beverages? 1 = yes, 2 = no. |
| cons_banana | tinyint unsigned | During the last 30 days the household consume bananas? 1 = yes, 2 = no. |
| cons_mango | tinyint unsigned | During the last 30 days the household consume mangoes? 1 = yes, 2 = no. |
| cons_citrus | tinyint unsigned | During the last 30 days the household consume citrus fruits(orange etc.)? 1 = yes, 2 = no. |
| cons_apple | tinyint unsigned | During the last 30 days the household consume apples? 1 = yes, 2 = no. |
| cons_grape | tinyint unsigned | During the last 30 days the household consume grapes? 1 = yes, 2 = no. |
| cons_other | tinyint unsigned | During the last 30 days the household consume something? 1 = yes, 2 = no. |
| train_work | tinyint unsigned | Did any member of the household make a journey during the last 30 days by train for work? 1 = yes, 2 = no. |
| train_edu | tinyint unsigned | Did any member of the household make a journey during the last 30 days by train for eduction? 1 = yes, 2 = no. |
| train_other | tinyint unsigned | Did any member of the household make a journey during the last 30 days by train for other non-economic activity? 1 = yes, 2 = no. |
| bus_work | tinyint unsigned | Did any member of the household make a journey during the last 30 days by bus for work? 1 = yes, 2 = no. |
| bus_edu | tinyint unsigned | Did any member of the household make a journey during the last 30 days by bus for eduction? 1 = yes, 2 = no. |
| bus_other | tinyint unsigned | Did any member of the household make a journey during the last 30 days by bus for other non-economic activity? 1 = yes, 2 = no. |
| ifcerem | tinyint unsigned | Whether any ceremony performed by the household during last 30 days (yes = 1, no = 2) |
| cerem_id_1 | tinyint unsigned | Serial number of ceremony |
| cerem_code_1 | tinyint unsigned | Ceremony code. 1 = birth, 2 = marriage, 3 = death, 4 = other ceremony. |
| cerem_num_meal_1 | char(6) | Number of meals served to guest. |
| cerem_id_2 | tinyint unsigned | ditto. |
| cerem_code_2 | tinyint unsigned | ditto. |
| cerem_num_meal_3 | tinyint unsigned | ditto. |
| cerem_id_3 | tinyint unsigned | ditto. |
| cerem_code_3 | tinyint unsigned | ditto. |
| cerem_num_meal_3 | tinyint unsigned | ditto. |
| cerem_id_4 | tinyint unsigned | ditto. |
| cerem_code_4 | tinyint unsigned | ditto. |
| cerem_num_meal_4 | tinyint unsigned | ditto. |
| cerem_id_5 | tinyint unsigned | ditto. |
| cerem_code_5 | tinyint unsigned | ditto. |
| cerem_num_meal_5 | tinyint unsigned | ditto. |
| meal_serve_id_1 | tinyint unsigned | Number of meals served (other than those served during ceremony) Serial number |
| meal_serve_to_1 | tinyint unsigned | Type code : 6 = guests, 7 = employees |
| meal_serve_num_1 | tinyint unsigned | Number of meals served (other than those served during ceremony) |
| meal_serve_id_2 | tinyint unsigned | ditto. |
| meal_serve_to_2 | tinyint unsigned | ditto. |
| meal_serve_num_2 | tinyint unsigned | ditto. |
| dwell_ownership | tinyint unsigned | Particulars of dwelling unit. 1 = owned, 2 = hired, 9 = others, 0 = no dwelling unit. |
| dwell_covered_area | float | Particulars of dwelling unit. Covered area (square meter) |
| dwell_ownland | tinyint unsigned | Land possession code. 1 = owned, 2 = rented, 3 = leased-in, 9 = others. |
| dwel_plinth | tinyint unsigned | Plinth level. 1 = basement, 2 = 0.00 meter, 3 = more than 0.00 meter. |
| dwell_type | tinyint unsigned | Type of dwelling. 1 = chaw/bustee, 2 = independent house, 3 = flat. |
| dwell_structure | tinyint unsigned | Type of structure. 1 = katcha, 2 = semi-pucca, 3 = pucca. |
| dwell_floor | tinyint unsigned | Floor type. 1 = mud, 2 = wood, bamboo, reed, 3 = brick, cement, stone, 9 = others. |
| dwell_rent | float | Monthly rent (actual or imputed) (Rs. 0.00) (for urban only) |
| dwell_cond | tinyint unsigned | Condition of the house. 1 = excellent, 2 = good, 3 = bad. |
| dwell_house_category | char(2) | House category code.(to be filled in at D.P. centre) |
| mpce_old | float | Old monthly per capita consumption expenditure. |
nss43ce_member
Particulars of household members.
| Variable Name | Type | Description |
|---|---|---|
| member_id | tinyint unsigned | Serial number of household member |
| relation | tinyint unsigned | Relation to head. 1 = head, 2 = spouse of head, 3 = child, 4 = spouse of married child, 5 = unmarried child, 6 = grand child, 7 = father/mother/father-in-low/mother-in-low, 8 = brother/sister/brother-in-low/sister-in-low/other relations, 9 = servant/employee/other non-relatives. |
| sex | tinyint unsigned | Sex. 1 = male, 2 = female. |
| age | tinyint unsigned | Age(years). |
| marital_state | tinyint unsigned | Marital status. 1 = never married, 2 = currently married, 3 = widowed, 4 = divorced/separated. |
| education | tinyint unsigned | General education code. 0 = not literate, 1 = literate without formal schooling, 2 = literate but below primary, 3 = primary, 4 = middle, 5 = secondary. |
| days_away_home | tinyint unsigned | Number of days stayed away from home during last 30 days. |
| num_meal_1day | tinyint unsigned | Number of meals usually taken in a day |
| meal_free | tinyint unsigned | Number of meals taken during last 30 days away from home with free of cost. |
| meal_on_payment | tinyint unsigned | Number of meals taken during last 30 days away from home on payment. |
| meal_at_home | tinyint unsigned | Number of meals taken during last 30 days at home. |
| tobacco_smoke | tinyint unsigned | Consumption of tobacco. 1 = regular, 2 = casual, 3 = not consuming. |
| tobacco_chew | tinyint unsigned | ditto. |
| tobacco_snuff | tinyint unsigned | ditto. |
| tobacco_powder | tinyint unsigned | ditto. |
nss43ce_food_energy
Cash purchase and consumption of food, pan, tobacco, intoxicants and fuel and light during the last 30 days.
| Variable Name | Type | Description |
|---|---|---|
| item_code | char(3) | Item code |
| qty_cash | float | Quantity of cash purchase during the last 30 days in Rs. 0.00. |
| val_cash | float | Value of cash purchase during the last 30 days in Rs. 0.00. |
| qty_home | float | Quantity of consumption out of home grown stock during the last 30 days in Rs. 0.00. |
| val_home | float | Value of consumption out of home grown stock during the last 30 days in Rs. 0.00. |
| qty_gift | float | Quantity of consumption out of gift, loan,etc. during the last 30 days. |
| val_gift | float | Value of consumption out of gift, loan,etc. during the last 30 days. |
| qty_total | float | Quantity of total consumption during the last 30 days. |
| val_total | float | Value of total consumption during the last 30 days. |
| grow_rice | tinyint unsigned | During the last agricultural year did the household grow/cultivate rice? 1 = yes, 2 = no. |
| grow_wheat | tinyint unsigned | During the last agricultural year did the household grow/cultivate wheat? 1 = yes, 2 = no. |
| grow_jowar | tinyint unsigned | During the last agricultural year did the household grow/cultivate jowar? 1 = yes, 2 = no. |
| grow_bajra | tinyint unsigned | During the last agricultural year did the household grow/cultivate Bajra? 1 = yes, 2 = no. |
| grow_maize | tinyint unsigned | During the last agricultural year did the household grow/cultivate maize? 1 = yes, 2 = no. |
| grow_barley | tinyint unsigned | During the last agricultural year did the household grow/cultivate barley? 1 = yes, 2 = no. |
| grow_ragi | tinyint unsigned | During the last agricultural year did the household grow/cultivate ragi? 1 = yes, 2 = no. |
| grow_gram | tinyint unsigned | During the last agricultural year did the household grow/cultivate gram? 1 = yes, 2 = no. |
nss43ce_clothing30, nss43ce_clothing365
Cash purchase and consumption of clothing during the last 30 and 365 days.
| Variable Name | Type | Description |
|---|---|---|
| item_code | char(3) | Item code |
| type_code | tinyint unsigned | Type code. 1 = cotton: mill made, 2 = power loom, 3 = hand loom, 4 = khadi, 5 = wool, 6 = art silk, rayon or other synthetic textile, 7 = pure silk, 8 = wool/synthetic/cotton/silk, 9 = others. |
| qty_cash | float | Quantity of cash purchase during the last 30 days in Rs. 0.00. |
| val_cash | float | Value of cash purchase during the last 30 days in Rs. 0.00. |
| qty_home | float | Quantity of consumption out of home grown stock during the last 30 days in Rs. 0.00. |
| val_home | float | Value of consumption out of home grown stock during the last 30 days in Rs. 0.00. |
| qty_gift | float | Quantity of consumption out of gift, loan,etc. during the last 30 days. |
| val_gift | float | Value of consumption out of gift, loan,etc. during the last 30 days. |
| qty_total | float | Quantity of total consumption during the last 30 days. |
| val_total | float | Value of total consumption during the last 30 days. |
nss43ce_footwear30, nss43ce_footwear365
Cash purchase and consumption of footwear during the last 30 and 365 days.
| Variable Name | Type | Description |
|---|---|---|
| item_code | char(3) | Item code |
| qty_cash | float | Quantity of cash purchase during the last 30 days in Rs. 0.00. |
| val_cash | float | Value of cash purchase during the last 30 days in Rs. 0.00. |
| qty_home | float | Quantity of consumption out of home grown stock during the last 30 days in Rs. 0.00. |
| val_home | float | Value of consumption out of home grown stock during the last 30 days in Rs. 0.00. |
| qty_gift | float | Quantity of consumption out of gift, loan,etc. during the last 30 days. |
| val_gift | float | Value of consumption out of gift, loan,etc. during the last 30 days. |
| qty_total | float | Quantity of total consumption during the last 30 days. |
| val_total | float | Value of total consumption during the last 30 days. |
nss43ce_misc
Expenditure (cash and kind) on the miscellaneous goods and services and rents & taxes during the last 30 days.
| Variable Name | Type | Description |
|---|---|---|
| item_code | char(3) | Item code |
| qty_cash | float | Quantity of cash purchase during the last 30 days in Rs. 0.00. |
| val_cash | float | Value of cash purchase during the last 30 days in Rs. 0.00. |
nss43ce_durables30, nss43ce_durables365
Expenditure (cash and kind) for purchase and construction (including repair) of durable goods for domestic use during the last 30 and 365 days.
| Variable Name | Type | Description |
|---|---|---|
| item_code | char(3) | Item code. |
| num_in_use | tinyint unsigned | Number in use. |
| number_1st | tinyint unsigned | Number of 1st hand purchase. |
| hire_purchase_1st | tinyint unsigned | Whether hired or purchased for 1st hand purchase. 1: hired, 2: purchased. |
| val_cash_1st | float | Value of 1st hand purchase in cash during the last 30 days in Rs. 0.00. |
| val_cash_kind_1st | float | Value of 1st hand purchase in cash and kind during the last 30 days in Rs. 0.00. |
| val_cash_construct | float | Cost of raw material and services for construction and repair in cash during the last 30 days in Rs. 0.00. |
| val_cash_kind_construct | float | Cost of raw material and services for construction and repair in cash and kind during the last 30 days in Rs. 0.00. |
| val_cash_total | float | Total expenditure in cash during the last 30 days in Rs. 0.00. val_cash_1st + val_cash_construct. |
| val_cash_kind_total | float | Total expenditure in cash and kind during the last 30 days in Rs. 0.00. val_cash_kind_1st + val_cash_kind_construct. |
| number_2nd | tinyint unsigned | Number of 2nd hand purchase. |
| val_cash_2nd | float | Value of 2nd hand purchase in cash during the last 30 days in Rs. 0.00. |
| val_cash_kind_2nd | float | Value of 2nd hand purchase in cash and kind during the last 30 days in Rs. 0.00. |
nss43ce_comcode
Commodity code table.
| Code | Description | Unit |
|---|---|---|
| 101 | Paddy | kg |
| 102 | Rice | kg |
| 103 | Chira | kg |
| 104 | Khoi, lawa | kg |
| 105 | Muri | kg |
| 108 | Other rice products | kg |
| 109 | Rice: sub total | kg |
| 110 | Wheat | kg |
| 111 | Atta | kg |
| 112 | Maida | kg |
| 113 | Suji, rawa | kg |
| 114 | Sewai, noodles | kg |
| 115 | Bread (bakery) | kg |
| 118 | Other wheat products | kg |
| 119 | Wheat: sub total | kg |
| 120 | Jowar | kg |
| 121 | Jowar products | kg |
| 129 | Jowar: sub total | kg |
| 130 | Bajra | kg |
| 131 | Bajra products | kg |
| 139 | Bajra: sub total | kg |
| 140 | Maize | kg |
| 141 | Maize products | kg |
| 149 | Maize: sub total | kg |
| 150 | Barley | kg |
| 151 | Barley products | kg |
| 159 | Barley : sub total | kg |
| 160 | Small-millets | kg |
| 161 | Small-millets products | kg |
| 169 | Small-millets: sub total | kg |
| 170 | Ragi | kg |
| 171 | Ragi products | kg |
| 179 | Ragi: sub total | kg |
| 189 | Total cereals: 109+119+129+139+149+159+169+179 | kg |
| 190 | Gram (full grain) | kg |
| 191 | Gram products | kg |
| 199 | Gram: sub total | kg |
| 200 | Tapioca dry/ sago | kg |
| 201 | Tapioca (green) | kg |
| 202 | Mahua | kg |
| 203 | Jackfruit seed | kg |
| 208 | Other cereal substitutes | kg |
| 209 | Cereal substitutes: sub total (200-208) | kg |
| 210 | Arhar (tur) | kg |
| 211 | Gram (split gram) | kg |
| 212 | Moong | kg |
| 213 | Masur | kg |
| 214 | Urd | kg |
| 215 | Khasari | kg |
| 216 | Peas | kg |
| 217 | Soyabean | kg |
| 218 | Other pulses | kg |
| 219 | Pulses: sub total (210-218) | kg |
| 220 | Besan | kg |
| 228 | Other pulse products | kg |
| 229 | Pulses & prods: sub total (219+220+228) | kg |
| 230 | Milk (liquid) | l |
| 231 | Baby food | kg |
| 232 | Milk (cond/powder) | kg |
| 233 | Curd | kg |
| 234 | Ghee | kg |
| 235 | Butter | kg |
| 236 | Ice-cream | no |
| 238 | Other milk products | kg |
| 239 | Milk products: sub total (230-238) | |
| 240 | Vanaspati | kg |
| 241 | Margarine | kg |
| 242 | Mustard oil | kg |
| 243 | Ground nut oil | kg |
| 244 | Coconut oil | kg |
| 245 | Gingelly (til) oil | kg |
| 246 | Linseed oil | kg |
| 247 | Refined oil | kg |
| 250 | Palm oil | kg |
| 251 | Rapeseed oil | kg |
| 252 | Oil seed | kg |
| 258 | Edible oil (others) | kg |
| 259 | Edible oil: sub total (240-258) | kg |
| 260 | Goat meat | kg |
| 261 | Mutton | kg |
| 262 | Beef | kg |
| 263 | Pork | kg |
| 264 | Buffalo meat | kg |
| 268 | Other meat | kg |
| 269 | Meat: sub total (260-268) | kg |
| 270 | Poultry | no |
| 271 | Other birds | no |
| 272 | Eggs | no |
| 273 | Egg products | |
| 274 | Fish (fresh) | kg |
| 275 | Fish (dry) | kg |
| 279 | Meat, Egg, Fish: sub total (269, 270-275) | |
| 280 | Potato | kg |
| 281 | Arum | kg |
| 282 | Radish | kg |
| 283 | Carrot | kg |
| 284 | Turnip | kg |
| 285 | Beet | kg |
| 286 | Sweet potato | kg |
| 287 | Onion | kg |
| 288 | Other root vegetables | kg |
| 289 | Root vegetables: sub total (280-288) | kg |
| 290 | Pumpkin | kg |
| 291 | Gourd | kg |
| 292 | Bitter gourd | kg |
| 293 | Cucumber | kg |
| 294 | Parwal/patal | kg |
| 295 | Jhinga/torai | kg |
| 296 | Snake gourd | kg |
| 298 | Other gourds | kg |
| 299 | Gourd: sub total (290-298) | kg |
| 300 | Cauli flower | kg |
| 301 | Cabbege | kg |
| 302 | Brinjal | kg |
| 303 | Lady's finger | kg |
| 304 | Palak | kg |
| 305 | Other leafy veg. | kg |
| 306 | French beans & barbati | kg |
| 307 | Tomato | kg |
| 310 | Peas | kg |
| 311 | Chilli (green) | kg |
| 312 | Capsicum | kg |
| 313 | Plantain (green) | kg |
| 314 | Jackfruit (green) | kg |
| 315 | Lemon | kg |
| 318 | Other vegetables | kg |
| 319 | Other Veg.: sub total (300-318) | kg |
| 329 | Vegetables (all): sub total (289+299+319) | kg |
| 330 | Banana | no |
| 331 | Jackfruit | kg |
| 332 | Water melon | kg |
| 333 | Pine apple | no |
| 334 | Coconut | no |
| 335 | Guava | no |
| 336 | Singhara | kg |
| 337 | Orange mausambi (no.) | kg |
| 340 | Mango | kg |
| 341 | Kharbooza | kg |
| 342 | Pears (naspati) | kg |
| 343 | Berries | kg |
| 344 | Leechi | kg |
| 345 | Apple | kg |
| 346 | Grapes | kg |
| 348 | Other fresh fruits | kg |
| 349 | Fruits (fresh): sub total (330-348) | |
| 350 | Coconut(copra) | kg |
| 351 | Groundnut | kg |
| 352 | Dates | kg |
| 353 | Cashewnut | kg |
| 354 | Walnut | kg |
| 355 | Other nuts | kg |
| 356 | Raisin (khishinish, monacca, etc) | kg |
| 358 | Other dry fruits | kg |
| 359 | Fruits (dry): sub total (350-358) | kg |
| 360 | Sugar (crystal) | kg |
| 361 | Khandsari | kg |
| 362 | Gur (cane) | kg |
| 363 | Gur (others) | kg |
| 364 | Sugar candy (misri) | kg |
| 365 | Honey | kg |
| 368 | Sugar (others) | kg |
| 369 | Sugar: sub total (360-368) | kg |
| 370 | Sea salt | kg |
| 371 | Other salt | kg |
| 379 | Salt: sub total (370-371) | kg |
| 380 | Turmeric | g |
| 381 | Black pepper | g |
| 382 | Dry chillies | g |
| 383 | Garlic | g |
| 384 | Tamarind | g |
| 385 | Ginger | g |
| 386 | Curry powder | g |
| 388 | Other spices | g |
| 389 | Spices: sub total (380-388) | g |
| 390 | Tea (cups) | no |
| 391 | Tea (leaf) | g |
| 392 | Coffee (cups) | no |
| 393 | Coffee (powder) | g |
| 394 | Ice | kg |
| 395 | Cold Beverage (bottled or canned) | no |
| 396 | Fruit juice & shake | glass |
| 400 | Coconut green | no |
| 408 | Other beverages(cocoa, chocolate, bournvita, ovaltine, horlicks) | |
| 409 | Beverage: sub total (390-408) | |
| 410 | Biscuit | g |
| 411 | Salted refreshment | |
| 412 | Prepared sweets | |
| 413 | Cooked meals | no |
| 414 | Cake, pastry | |
| 415 | Pickles | g |
| 416 | Sauce | g |
| 417 | Jam, jelly | g |
| 418 | Other processed food | g |
| 419 | Processed food: sub total (410-418) | |
| 429 | Beverages etc: sub total (409-419) | |
| 430 | Pan (leaf) | no |
| 431 | Pan ( finished ) | no |
| 432 | Supari | g |
| 433 | Lime | g |
| 434 | Katha | g |
| 438 | Other ingredients for pan | g |
| 439 | Pan: sub total ( 430-438 ) | |
| 440 | Bidi | no |
| 441 | Cigarettes | no |
| 442 | Leaf tobacco | kg |
| 443 | Snuff | g |
| 444 | Hookah tobacco | kg |
| 445 | Cheroot | no |
| 446 | Zarada, Kimam Surti | g |
| 448 | Other tobacco prods | g |
| 449 | Tobacco: sub total ( 440-448 ) | |
| 450 | Ganja | g |
| 451 | Toddy | l |
| 452 | Country liquor | l |
| 453 | Opium, Bhang, Charas | g |
| 454 | Beer | l |
| 455 | Foreign liquor or refreshed liquor ( brandy, whisky, etc ) | l |
| 458 | Other drugs and intoxicants | |
| 459 | Intoxicants: sub total ( 450-458 ) | |
| 460 | Coke | kg |
| 461 | Fire-wood and chips | kg |
| 462 | Electricity | standard unit |
| 463 | Dung cake | |
| 464 | Kerosene | l |
| 465 | Matches | box |
| 466 | Coal | kg |
| 467 | Coal gus | standard unit |
| 470 | L.P.G. | kg |
| 471 | Charcoal | kg |
| 472 | Other oil used for lighting | l |
| 473 | Candle | no |
| 474 | Methylated spirit | l |
| 475 | Gobar gus | kg |
| 478 | Other fuel and light | |
| 479 | Fuel and light: sub total ( 460-478 ) | |
| 480 | Dhoti | m |
| 481 | Saree | m |
| 482 | Cloth for shirt, pyjama, salwar etc. | m |
| 483 | Cloth for coat, trousers, overcoat, etc. | m |
| 484 | Chaddar, dopatta, wrapper, shawl, etc. | m |
| 485 | Lungi | m |
| 486 | Gamcha, towel, handkerchief | no |
| 487 | Hosiery articles, stockings, undergarments etc. | no |
| 490 | Ready made garments | no |
| 491 | Headwear | m |
| 492 | Knitted garments, sweater, pullover, cardigan, muffler, scarf, etc. | no |
| 493 | Bed sheet, bed cover | m |
| 494 | Rug, blanket | m |
| 495 | Pillow, quilt, mattress | m |
| 496 | Cloth for upholstery, curtain, table cloth, etc. | m |
| 497 | Mosquito net | no |
| 500 | Mats and matting | no |
| 501 | Cotton, cotton yarn | g |
| 502 | Knitting wool | g |
| 508 | Clothing - others | no |
| 509 | Clothing: sub total ( 480-508 ) | |
| 510 | Leather boots, shoe | pair |
| 511 | Leather sandals, chappal, etc. | pair |
| 512 | Other leather foot-wear | pair |
| 513 | Rubber/PVC foot-wear | pair |
| 518 | Other foot-wear | pair |
| 519 | Foot-wear: sub total (510-518) | pair |
| 520 | Cinema, theatre | |
| 521 | Mela, fair, picnic | |
| 522 | Sports goods, toys, etc | |
| 523 | Club fees | |
| 524 | Goods for recreation and hobbies | |
| 525 | Photography | |
| 526 | Video casette | |
| 528 | Other amusement | |
| 529 | Amusement: sub total | |
| 530 | Books, journals | |
| 531 | Newspaper, periodicals | |
| 532 | Library charges | |
| 533 | Stationery articles | |
| 534 | Tuition fees (school/college) | |
| 538 | Other educational expenses | |
| 539 | Education: sub total | |
| 540 | Allopathic medicine | |
| 541 | Homoeopathic medicine | |
| 542 | Ayurvedio medicine | |
| 543 | Unani medicine | |
| 544 | Family planning applicance | |
| 548 | Other medical expenses | |
| 549 | Medical: sub total | |
| 550 | Spectacles | |
| 551 | Torch light and batteries | |
| 552 | Fountain pen | |
| 553 | Lock | |
| 554 | Umbralla, rain-coat | |
| 555 | Walking stick, etc | |
| 556 | Lighter | |
| 558 | Other goods for personal care and effect | |
| 559 | Goods for personal care and effects: sub total (550-558) | |
| 560 | Toilet soap | |
| 561 | Tooth paste, tooth powder, tooth brush | |
| 562 | Powder , snow, cream, flower | |
| 563 | Hair oil, lotion, shampoo, hair cream | |
| 564 | Comb | |
| 565 | Shaving blades | |
| 566 | Shaving stick and shaving cream | |
| 567 | Other shaving requisities | |
| 568 | Other toilet articles | |
| 569 | Toilet articles: sub total ( 560-568) | |
| 570 | Electric bulbs, tubelights | |
| 571 | Electric batteries | |
| 572 | Other non-durable electric goods | |
| 573 | Carthen ware | |
| 574 | Glass ware | |
| 575 | Plastic ware | |
| 576 | Coir, rope, etc | |
| 577 | Washing soap | |
| 580 | Washing soda | |
| 581 | Other washing requisities | |
| 582 | Agger bathi | |
| 588 | Other pretty articles | |
| 589 | Other sundry articles: sub total (570-588) | |
| 599 | Miscellaneous consumer goods: sub total (529+539+549+559+569+589) | |
| 600 | Doctor | |
| 601 | Nurse, midwife | |
| 602 | Hospital charges | |
| 603 | Private tutor | |
| 604 | Domestic servant, cook | |
| 605 | Sweeper | |
| 606 | Barber, beautician etc | |
| 607 | Washerman, launder | |
| 610 | Tailor | |
| 611 | Priest | |
| 612 | Lawyer | |
| 613 | Postage, telephone, telegram | |
| 614 | Repair charge | |
| 618 | Other consumer services | |
| 619 | Consumer services: sub total (601-618) | |
| 620 | Railway fare | |
| 621 | Bus fare | |
| 622 | Taxi, auto rickshaw fare | |
| 623 | Bullock cart fare | |
| 624 | Airways fare | |
| 625 | Porter charges | |
| 626 | Steamer, boat fare | |
| 627 | Rickshaw ( hand drawn and cycle ) fare | |
| 630 | Horse cart fare | |
| 631 | Hand operated cart fare | |
| 632 | Petrol | |
| 633 | Diesel | |
| 634 | Lubricating oil | |
| 635 | Other imputed value of owned conveyance | |
| 636 | School bus/van | |
| 638 | Other hired conveyance | |
| 639 | Conveyance: sub total (620-638) | |
| 640 | Pet animals and others (specify) | |
| 649 | Miscellaneous consumer services: sub total (619+639+640) | |
| 650 | House rent, garage rent | |
| 651 | Residential land rent | |
| 652 | Consumer rent (other goods) | |
| 659 | Rents: sub total | |
| 669 | Consumer taxes and cesses | |
| 670 | Bed stead | |
| 671 | Almirah | |
| 672 | Dressing table | |
| 673 | Chair | |
| 674 | Coach, sofa | |
| 675 | Table, desk | |
| 676 | Stool, bench | |
| 677 | Suitcase, trunks, box, hand bag and other travel goods | |
| 680 | Foam, rubber, cushion (dunlopillo type) | |
| 681 | Carpet, daree and other floor matting | |
| 682 | Painting, drawings, engravings etc | |
| 688 | Other furniture and fixtures | |
| 689 | Furniture and fixtures: sub total (670-688) | |
| 690 | Gramophone and record player | |
| 691 | Radio | |
| 692 | Radiogram | |
| 693 | Television, video | |
| 694 | Camere and other photographie equipment | |
| 695 | Tape recorder | |
| 696 | Harmonium | |
| 697 | Piano | |
| 700 | Record casette | |
| 701 | Video casette | |
| 702 | Other musical instruments | |
| 708 | Other goods for recreation, entertainment and hobbies | |
| 709 | Goods for recreation etc : sub total (690-708) | |
| 710 | Gold ornament | |
| 711 | Silver ornament | |
| 712 | Jewels, pearls | |
| 718 | Other ornaments | |
| 719 | Jewellery and ornaments: sub total (710-718) | |
| 720 | Stainless steel | |
| 721 | Bell metal | |
| 722 | Copper | |
| 723 | Aluminium | |
| 724 | Iron | |
| 725 | Brass | |
| 726 | Enamel | |
| 727 | Crockery | |
| 728 | Others | |
| 729 | Household utensils: sub total (720-728) | |
| 730 | Electric fan | |
| 731 | Stove (pressure type/wick type) | |
| 732 | Pressure cooker | |
| 733 | Sewing machine | |
| 734 | Washing machine | |
| 735 | Refrigerator | |
| 736 | Air conditioner, air cooler | |
| 737 | Lantern, lamp | |
| 740 | Electric iron, heater, toaster and other electric heating appliances | |
| 748 | Ovens etc. and other cooking and household appliances/equipments | |
| 749 | Cooking and household appliances: sub total (730-748) | |
| 750 | Bicycle | |
| 751 | Motor cycle, scooter | |
| 753 | Tyres and tubes | |
| 754 | Perambulator | |
| 758 | Other transport equipment | |
| 759 | Personal transport equipment: sub total (750-758) | |
| 760 | Hearing aids | |
| 761 | Glass eyes, artificial limbs, orthopaedic braces and supports | |
| 762 | Surgical belts, supports | |
| 763 | Clinical thermometer | |
| 768 | Other therapeutic appliances and equipments | |
| 769 | Therapeutic appliances and equipments: sub total (760-768) | |
| 770 | Clock, watch | |
| 771 | Type-writer | |
| 772 | Electric hair drier and shaver | |
| 778 | Any other personal goods | |
| 779 | Other personal goods: sub total (770-778) | |
| 780 | Residential building and land (cost of repair only) | |
| 788 | Other durables (specify) | |
| 789 | Durable goods: total (689+709+719+729+749+759+7659+779+780+788) |
nss43ce_state
State-Region code table.
| No. | States/Union Territories | Code |
|---|---|---|
| 1 | Andhra Pradesh | 02 |
| 2 | Arunachal Pradesh | 25 |
| 3 | Assam | 03 |
| 4 | Bihar | 04 |
| 5 | Goa | 29** |
| 6 | Gujarat | 05 |
| 7 | Haryana | 06 |
| 8 | Himachal Pradesh | 07 |
| 9 | Jammu & Kashmir | 08 |
| 10 | Karnataka | 09 |
| 11 | Kerala | 10 |
| 12 | Madhya Pradesh | 11 |
| 13 | Maharashtra | 12 |
| 14 | Manipur | 13 |
| 15 | Meghalaya | 14 |
| 16 | Mizoram | 31 |
| 17 | Nagaland | 15 |
| 18 | Orissa | 16 |
| 19 | Punjab | 17 |
| 20 | Rajasthan | 18 |
| 21 | Sikkim | 19 |
| 22 | Tamil Nadu | 20 |
| 23 | Tripura | 21 |
| 24 | Uttar Pradesh | 22 |
| 25 | West Bengal | 23 |
| 26 | Andaman & Nicober Ilands | 24 |
| 27 | Chandigarh | 26 |
| 28 | Dadra & Nagar Haveli | 27 |
| 29 | Daman & Diu | - |
| 30 | Delhi | 28 |
| 31 | Lakshadweep | 30 |
| 32 | Pondicheri | 32 |
| 33 | Chhattisgarh | - |
| 34 | Jharkhand | - |
| 35 | Uttaranchal | - |
** stands for Goa, Damman & Diu