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    Home / Central Data Catalog / IMPACT_EVALUATION / LBR_2010_EPAG-BL_V01_M / variable [F1]
impact_evaluation

Economic Empowerment of Adolescent Girls and Young Women in Liberia 2010, Baseline Survey

Liberia, 2010
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Reference ID
LBR_2010_EPAG-BL_v01_M
DOI
https://doi.org/10.48529/jakv-wj47
Producer(s)
Shubha Chakravarty
Collection(s)
Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 13, 2018
Last modified
Mar 13, 2018
Page views
78627
Downloads
2942
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  • baselinemidline_clean_14aug2013_anonymized

502a) what new second iga do this year (q502a)

Data file: baselinemidline_clean_14aug2013_anonymized

Overview

Valid: 1593
Invalid: 2195
Type: Discrete
Decimal: 0
Start: 433
End: 434
Width: 2
Range: 1 - 97
Format: Numeric

Questions and instructions

Question pretext
If yes to 502
Literal question
What type of things for making money do you plan on starting? By starting this for making money we mean a new activity or joining an existing activity or even purchasing an ongoing activity (i.e buying a share).
Categories
Value Category Cases
1 household labour (other household) 37
2.3%
2 at home production for sales (crops, livestock, fish) 42
2.6%
3 labour on other's farm 3
0.2%
4 factory work (rice mill, garment, etc.) 17
1.1%
5 food processing for sale (baking, cooking & drying) 109
6.8%
6 beautician (hairdresser, manicure, etc.) 175
11%
7 stitching/handicraft/tailoring for sales/tie dying 125
7.8%
8 petty trade (street vendor/home selling) 299
18.8%
9 owner of shop/restaurant/hotel 178
11.2%
10 worker in shop/restaurant/hotel 110
6.9%
11 skilled labourer (mechanic, pottery, carpenter, metal work 71
4.5%
12 community health worker (e.g., tba, midwife) 56
3.5%
13 educator 40
2.5%
14 secretary/clerk/cashier 90
5.6%
15 religious worker 4
0.3%
16 commercial sex worker/prostitute/on the lane 0
0%
17 beggar 0
0%
18 buying a share 6
0.4%
19 soap making 10
0.6%
20 out of town business 127
8%
21 no reason, not gotten to it yet 0
0%
22 not employed 3
0.2%
97 other (specify) 91
5.7%
Sysmiss 2195
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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