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