Living Standards Survey, Wave 3, 2010-2011
Nepal, 2010 - 2011
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Reference ID
NPL_2010-2011_LSS-W3_v01_EN_M_v01_A_OCS
Producer(s)
Central Bureau of Statistics
Collections
Metadata
Created on
Oct 09, 2020
Last modified
Nov 07, 2024
Page views
31644
Downloads
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frq. non-food item code (v06a_idc)
Data file: S06A
Overview
Valid:
186680
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
14
End:
16
Width:
3
Range:
211 - 260
Format:
Numeric
Questions and instructions
Question pretext
Part A: Frequent non-food expenditures
Literal question
Item Description
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 211 | wood (bundle wood, logwood, etc. | 7180 |
3.8%
|
| 212 | kerosene oil | 7180 |
3.8%
|
| 213 | coal, charcoal | 7180 |
3.8%
|
| 214 | cylinder gas (lpg) | 7180 |
3.8%
|
| 215 | matches, candles, lighter | 7180 |
3.8%
|
| 221 | ready-made clothing and apparel | 7180 |
3.8%
|
| 222 | cloth, wool, yarn | 7180 |
3.8%
|
| 223 | tailoring expenses | 7180 |
3.8%
|
| 224 | footwear (shoes, slippers,etc.) | 7180 |
3.8%
|
| 225 | toilet soap | 7180 |
3.8%
|
| 226 | toothpaste, tooth powder | 7180 |
3.8%
|
| 227 | other personal care items | 7180 |
3.8%
|
| 228 | dry cleaning and washing | 7180 |
3.8%
|
| 229 | personal services (haircut,shoe polish, etc.) | 7180 |
3.8%
|
| 231 | public transportation (bus, taxi fare, etc.) | 7180 |
3.8%
|
| 232 | petrol, diesel, motor oil | 7180 |
3.8%
|
| 233 | entertainment (cinema, cd rent, etc.) | 7180 |
3.8%
|
| 234 | newspapers, books, stationery (except expenditure on education) | 7180 |
3.8%
|
| 235 | pocket money to children | 7180 |
3.8%
|
| 236 | educational and professional service | 7180 |
3.8%
|
| 237 | modern medicines and healing | 7180 |
3.8%
|
| 238 | traditional medicines and healthcare services | 7180 |
3.8%
|
| 239 | wages paid to watchman, servant, driver, etc. | 7180 |
3.8%
|
| 241 | light bulbs, shades, battery | 7180 |
3.8%
|
| 242 | household cleaning articles | 7180 |
3.8%
|
| 260 | estimated total | 7180 |
3.8%
|
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.