The Role of Information and Cash Transfers on Early Childhood Development 2013-2014, Evidence from Nepal
Nepal, 2013 - 2014
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Reference ID
NPL_2013-2014_ICTECD_v01_M
Producer(s)
Gayatri Acharya, Michael Levere, Prashant Bharadwaj
Metadata
Created on
Jul 23, 2020
Last modified
Jul 23, 2020
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- Data files
- SEC01.dta
- SEC02.dta
- SEC03.dta
- SEC04A.dta
- SEC04B.dta
- SEC04C.dta
- SEC05A.dta
- SEC05B1.dta
- SEC05B2.dta
- SEC05C.dta
- SEC05D.dta
- SEC06A.dta
- SEC06B.dta
- SEC07A.dta
- SEC07B.dta
- SEC07C.dta
- SEC07D.dta
- SEC07E.dta
- SEC07F.dta
- SEC08A.dta
- SEC08B.dta
- SEC08C.dta
- SEC09A.dta
- SEC09B.dta
- SEC09C.dta
- SEC09D.dta
- SEC09E.dta
- SEC09F.dta
- SEC09G.dta
- SEC09H.dta
- SEC09I.dta
- SEC10A.dta
- SEC10B.dta
- SEC11.dta
- SEC00.dta
- SEC01.dta
- SEC02.dta
- SEC03.dta
- SEC04A.dta
- SEC04B.dta
- SEC04C.dta
- SEC05A.dta
- SEC05B1.dta
- SEC05B2.dta
- SEC05C.dta
- SEC05D.dta
- SEC06A.dta
- SEC06B.dta
- SEC07A.dta
- SEC07B.dta
- SEC07C.dta
- SEC07D.dta
- SEC07E.dta
- SEC07F.dta
- SEC08A.dta
- SEC08B.dta
- SEC08C.dta
- SEC09A.dta
- SEC09B.dta
- SEC09C.dta
- SEC09D.dta
- SEC09E.dta
- SEC09F.dta
- SEC09G.dta
- SEC09H.dta
- SEC09I.dta
- SEC10A.dta
- SEC10B.dta
- SEC11.dta
- SEC00.dta
- SEC01.dta
- SEC02.dta
- SEC03.dta
- SEC04A.dta
- SEC04B.dta
- SEC04C.dta
- SEC05A.dta
- SEC05B1.dta
- SEC05B2.dta
- SEC05C.dta
- SEC05D.dta
- SEC06A.dta
- SEC06B.dta
- SEC07A.dta
- SEC07B.dta
- SEC07C.dta
- SEC07D.dta
- SEC07E.dta
- SEC07F.dta
- SEC08A.dta
- SEC08B.dta
- SEC08C.dta
- SEC09A.dta
- SEC09B.dta
- SEC09C.dta
- SEC09D.dta
- SEC09E.dta
- SEC09F.dta
- SEC09G.dta
- SEC09H.dta
- SEC09I.dta
- SEC10A.dta
- SEC10B.dta
- SEC11.dta
506. Consumption: A. Food item (q05_506a)
Data file: SEC05C.dta
Overview
Valid:
143780
Invalid:
138
Minimum:
1
Maximum:
35
Type:
Discrete
Decimal:
0
Start:
7
End:
8
Width:
2
Range:
1 - 35
Format:
Numeric
Questions and instructions
Literal question
Particulars of your food consumption in the past 24 hours (e.g., breakfast, lunch, mid-day snacks, dinner, etc.)
- Food items
- Food items
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Rice | 4108 |
2.9%
|
| 2 | Beaten rice | 4108 |
2.9%
|
| 3 | Maize | 4108 |
2.9%
|
| 4 | Wheat | 4108 |
2.9%
|
| 5 | Barley/Oat/Sorghum | 4108 |
2.9%
|
| 6 | Millet/ Buckwheat | 4108 |
2.9%
|
| 7 | Pulses | 4108 |
2.9%
|
| 8 | Gram/Pea | 4108 |
2.9%
|
| 9 | Other beans | 4108 |
2.9%
|
| 10 | Fish | 4108 |
2.9%
|
| 11 | Meat | 4108 |
2.9%
|
| 12 | Egg | 4108 |
2.9%
|
| 13 | Milk | 4108 |
2.9%
|
| 14 | Curd/Whey etc. | 4108 |
2.9%
|
| 15 | Baby/Powder milk | 4108 |
2.9%
|
| 16 | Ghee | 4108 |
2.9%
|
| 17 | Honey | 4108 |
2.9%
|
| 18 | Vegetable ghee | 4108 |
2.9%
|
| 19 | Oil (Mustard, Soyabean, etc.) | 4108 |
2.9%
|
| 20 | Potato/Colocasia | 4108 |
2.9%
|
| 21 | Onion | 4108 |
2.9%
|
| 22 | Green leafy vegetables | 4108 |
2.9%
|
| 23 | Other vergetables (cauliflower, okra, etc) | 4108 |
2.9%
|
| 24 | Fruits/nuts | 4108 |
2.9%
|
| 25 | Salt | 4108 |
2.9%
|
| 26 | Other Spices (scumin seed, marich, garlic, ginger, chillies, etc.) | 4108 |
2.9%
|
| 27 | Sugar | 4108 |
2.9%
|
| 28 | Sakhar/Gud/Khudo | 4108 |
2.9%
|
| 29 | Sweets | 4108 |
2.9%
|
| 30 | Tea/Coffee | 4108 |
2.9%
|
| 31 | Alcoholic beverages (Jand, Wine, Beer, etc.) | 4108 |
2.9%
|
| 32 | Non-alcoholic beverages (Coke, Frooti, Sarbat, etc.) | 4108 |
2.9%
|
| 33 | Tobacco and tobacco products | 4108 |
2.9%
|
| 34 | Noodles and Biscuits | 4108 |
2.9%
|
| 35 | Other Foods | 4108 |
2.9%
|
| Sysmiss | 138 |
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.