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    Home / Central Data Catalog / LBR_2017_GAFSPIE-BL_V01_M / variable [F6]
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Global Agriculture and Food Security Project Impact Evaluation 2017
Baseline Survey

Liberia, 2017
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Reference ID
LBR_2017_GAFSPIE-BL_v01_M
Producer(s)
Paul Christian
Metadata
DDI/XML JSON
Study website
Created on
Oct 12, 2023
Last modified
Oct 12, 2023
Page views
49062
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  • microdata_baseline

I2_14a what other non-agricultural sources did the hh earn income from? (i2_14a)

Data file: microdata_baseline

Overview

Valid: 104
Invalid: 0
Type: Discrete
Start: 3313
End: 3365
Width: 53
Range: -
Format: character

Questions and instructions

Literal question
What other non-agricultural sources did the HH earn income from?
Categories
Value Category Cases
Act. Print. Boards 1
1%
Braining of coal 1
1%
Building house 2
1.9%
Burned coal 1
1%
Burning coal and cutting palm 1
1%
Burning coal and the sale of Robber 1
1%
Burning of Cole 1
1%
Carpentry 1
1%
Church members appreciation 1
1%
Class room Teacher 1
1%
Classroom teacher 1
1%
Coal Burning 37
35.6%
Coal Marketing 1
1%
Coal burning. 1
1%
Construction 1
1%
Contract 1
1%
Cool Brining 1
1%
Cool braining 5
4.8%
Cool burning 2
1.9%
Cutting pan and hurting 1
1%
Digging diamond 2
1.9%
Earned income in other sources that are not mentioned 1
1%
FAMILY assistance 1
1%
Fire col 1
1%
Fishing and hugging 1
1%
Four rooms rental 1
1%
Hunting 2
1.9%
Motorbike Transportation 1
1%
Motorcycle riding 2
1.9%
Motorcycle riding for transport 1
1%
NGO 2
1.9%
PETTY TRADE 1
1%
Petit trading 1
1%
Petty. Trade 1
1%
Pump rehabilitation and selling of cole 1
1%
Red Old 1
1%
Rice, maize, oil and beans 1
1%
Rubber farm 1
1%
Security 1
1%
Selling chicken tar 1
1%
Selling. Rubber 1
1%
Sewing 1
1%
Small business 1
1%
Small marketing around in my community 1
1%
Small selling in the community 1
1%
Small small things like candy, gari, water 1
1%
Soap making for people 1
1%
Table marketing 2
1.9%
Taking people sand load. 1
1%
Taking load for people 1
1%
Teacher 1
1%
Teaching 3
2.9%
Transportation 1
1%
Working for people 1
1%
Working man 1
1%
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.

Description

Universe
Relevant if l2_14>0
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