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    Home / Central Data Catalog / NPL_2013-2014_ICTECD_V01_M / variable [F98]
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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
Page views
34342
Downloads
328
  • Study Description
  • Data Dictionary
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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

913. liquids or foods - A. Item (q09_913a)

Data file: SEC09F.dta

Overview

Valid: 61968
Invalid: -
Minimum: 1
Maximum: 24
Type: Discrete
Decimal: 0
Start: 9
End: 10
Width: 2
Range: 1 - 24
Format: Numeric

Questions and instructions

Literal question
Now I would like to ask you about (other) liquids or foods that (name) may have had yesterday during the day or at night.. (Ask all items one after another) Did (name) drink/eat:?
- Item
Categories
Value Category Cases
1 Breast milk 2582
4.2%
2 Plain water 2582
4.2%
3 Milk such as commercially produced infant formula 2582
4.2%
4 Any fortified, commercially available infant and young child food 2582
4.2%
5 Any other porridge or gruel 2582
4.2%
6 Fresh animal milk 2582
4.2%
7 Yogurt or other milk products 2582
4.2%
8 Rice, chapattis other foods made from grains such as millet, maize, lito 2582
4.2%
9 White potatoes or other [roots] tubers 2582
4.2%
10 Pupmkin, carrots, or other yellow or orange vegetables 2582
4.2%
11 Ripe mangoes, papaya, or other yellow or orange fruits 2582
4.2%
12 Any dark green leafy vegetables 2582
4.2%
13 Other fruits such as banana, orange, apple 2582
4.2%
14 Eggs 2582
4.2%
15 Any meat such as goat, lamb, chicken, pork, ducks 2582
4.2%
16 Any organ meat such as liver, kidney 2582
4.2%
17 Fresh or dried fish or shellfish/dried meat 2582
4.2%
18 Snails or other small protein foods 2582
4.2%
19 Lentils, beans, peas, or nuts 2582
4.2%
20 Any oils, fats or foods made with any of these foods 2582
4.2%
21 Tea 2582
4.2%
22 Sugary foods such as sweets, chocolate 2582
4.2%
23 Processed foods such as biscuits, noodles 2582
4.2%
24 Any other solid or soft foods/JAAND 2582
4.2%
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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