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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
DDI/XML JSON
Created on
Jan 19, 2021
Last modified
Jan 19, 2021
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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
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.
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