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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: 40775
Invalid: 25
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 1165
2.9%
2 Beaten rice 1165
2.9%
3 Maize 1165
2.9%
4 Wheat 1165
2.9%
5 Barley/Oat/Sorghum 1165
2.9%
6 Millet/ Buckwheat 1165
2.9%
7 Pulses 1165
2.9%
8 Gram/Pea 1165
2.9%
9 Other beans 1165
2.9%
10 Fish 1165
2.9%
11 Meat 1165
2.9%
12 Egg 1165
2.9%
13 Milk 1165
2.9%
14 Curd/Whey etc. 1165
2.9%
15 Baby/Powder milk 1165
2.9%
16 Ghee 1165
2.9%
17 Honey 1165
2.9%
18 Vegetable ghee 1165
2.9%
19 Oil (Mustard, Soyabean, etc.) 1165
2.9%
20 Potato/Colocasia 1165
2.9%
21 Onion 1165
2.9%
22 Green leafy vegetables 1165
2.9%
23 Other vergetables (cauliflower, okra, etc) 1165
2.9%
24 Fruits/nuts 1165
2.9%
25 Salt 1165
2.9%
26 Other Spices (scumin seed, marich, garlic, ginger, chillies, etc.) 1165
2.9%
27 Sugar 1165
2.9%
28 Sakhar/Gud/Khudo 1165
2.9%
29 Sweets 1165
2.9%
30 Tea/Coffee 1165
2.9%
31 Alcoholic beverages (Jand, Wine, Beer, etc.) 1165
2.9%
32 Non-alcoholic beverages (Coke, Frooti, Sarbat, etc.) 1165
2.9%
33 Tobacco and tobacco products 1165
2.9%
34 Noodles and Biscuits 1165
2.9%
35 Other Foods 1165
2.9%
Sysmiss 25
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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