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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
73475
Downloads
2859
  • Study Description
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  • baselinemidline_clean_14aug2013_anonymized

503) what types of income-generating activities (q503)

Data file: baselinemidline_clean_14aug2013_anonymized

Overview

Valid: 1144
Invalid: 2644
Type: Discrete
Decimal: 0
Start: 477
End: 478
Width: 2
Range: 1 - 97
Format: Numeric

Questions and instructions

Literal question
The previous questions referred to pending income generation activities. What about more "long-term" plans for income-generation? Think of what types of income-generating activities you might want to be involved within 10 years' time. What would the main one be?
Categories
Value Category Cases
1 household labour (other household) 7
0.6%
2 at home production for sales (crops, livestock, fish) 29
2.5%
3 labour on other's farm 2
0.2%
4 factory work (rice mill, garment, etc.) 11
1%
5 food processing for sale (baking, cooking & drying) 18
1.6%
6 beautician (hairdresser, manicure, etc.) 56
4.9%
7 stitching/handicraft/tailoring for sales/tie dying 20
1.7%
8 petty trade (street vendor/home selling) 75
6.6%
9 owner of shop/restaurant/hotel/office 333
29.1%
10 worker in shop/restaurant/hotel/office 82
7.2%
11 skilled labourer (mechanic, pottery, carpenter, metal work, 54
4.7%
12 community health worker (e.g., tba, midwife) 91
8%
13 educator 7
0.6%
14 secretary/clerk/cashier 82
7.2%
15 religious worker 2
0.2%
16 commercial sex worker/prostitute/on the lane 0
0%
17 beggar 0
0%
18 buying a share 9
0.8%
19 soap making 6
0.5%
20 out of town business 134
11.7%
97 other (specify) 126
11%
Sysmiss 2644
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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