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    Home / Central Data Catalog / DIME / TZA_2012_SHRSBIE-EL_V01_M_V01_A_PUF / variable [F12]
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Impact Evaluation of Scaling-up Handwashing and Rural Sanitation Behavior Projects in Tanzania 2012, Endline Survey

Tanzania, 2012
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Reference ID
TZA_2012_SHRSBIE-EL_v01_M_v01_A_PUF
DOI
https://doi.org/10.48529/2147-tj19
Producer(s)
Sebastian Martinez, Aidan Coville, Bertha Briceno
Collection(s)
Development Impact Evaluation (DIME) Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 31, 2015
Last modified
Mar 31, 2015
Page views
125299
Downloads
13638
  • Study Description
  • Data Description
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  • Data files
  • animals
  • community_participation
  • handwashing_facilities
  • individual
  • latrine_expenses
  • listing
  • structured_observations
  • under_5_mortality
  • community
  • household

Most important activity for satisfying daily needs in Feb 2009 (about 3 yrs ago) (T6aQ04a)

Data file: household

Overview

Valid: 3620
Invalid: 104
Type: Discrete
Decimal: 0
Start: 342
End: 343
Width: 2
Range: 1 - 88
Format: Numeric

Questions and instructions

Literal question
Thinking back to February 2009 (about 3 years ago), what was the most important activity for satisfying the daily needs then?
Categories
Value Category Cases
1 Paid Employee: Formal Employment 57
1.6%
2 Paid Employee: Informal Employment 48
1.3%
3 Non-agricultural: Self-employed With Employees 21
0.6%
4 Non-agricultural: Self-employed Without Employees 169
4.7%
5 Farming: Self-employed With Employees 154
4.3%
6 Farming: Self-employed Without Employees 2691
74.3%
7 Livestock Keeping: Self-employed With Employees 33
0.9%
8 Livestock Keeping: Self-employed Without Employees 37
1%
9 Fishing: Self-employed With Employees 5
0.1%
10 Fishing: Self-employed Without Employees 76
2.1%
11 Trade: Agricultural 63
1.7%
12 Trade: Non-agricultural 203
5.6%
13 Casual Labourer 36
1%
14 Savings 0
0%
15 Remittances 4
0.1%
16 Pensions 0
0%
17 None 22
0.6%
88 Other (specify) 1
0%
Sysmiss 104
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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