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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
81159
Downloads
3012
  • Study Description
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  • baselinemidline_clean_14aug2013_anonymized

501a) what new iga want do (q501a)

Data file: baselinemidline_clean_14aug2013_anonymized

Overview

Valid: 3190
Invalid: 598
Type: Discrete
Decimal: 0
Start: 382
End: 383
Width: 2
Range: 1 - 98
Format: Numeric

Questions and instructions

Question pretext
If yes to 501
Literal question
What type of things for making money do you plan on starting? By starting things 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) 47
1.5%
2 at home production for sales (crops, livestock, fish) 82
2.6%
3 labour on other's farm 3
0.1%
4 factory work (rice mill, garment, etc.) 23
0.7%
5 food processing for sale (baking, cooking & drying) 122
3.8%
6 beautician (hairdresser, manicure, etc.) 213
6.7%
7 stitching/handicraft/tailoring for sales/tie dying 120
3.8%
8 petty trade (street vendor/home selling) 1055
33.1%
9 owner of shop/restaurant/hotel 289
9.1%
10 worker in shop/restaurant/hotel 261
8.2%
11 skilled labourer (mechanic, pottery, carpenter, metal work 146
4.6%
12 community health worker (e.g., tba, midwife) 76
2.4%
13 educator 22
0.7%
14 secretary/clerk/cashier 191
6%
15 religious worker 4
0.1%
16 commercial sex worker/prostitute/on the lane 0
0%
17 beggar 0
0%
18 buying a share 11
0.3%
19 soap making 24
0.8%
20 out of town business 297
9.3%
97 other (specify) 186
5.8%
98 don't know yet 18
0.6%
Sysmiss 598
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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