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    Home / Central Data Catalog / DIME / TZA_2012_SHRSBIE-EL_V01_M_V01_A_PUF / variable [F12]
dime

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
150095
Downloads
14403
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • animals
  • community_participation
  • handwashing_facilities
  • individual
  • latrine_expenses
  • listing
  • structured_observations
  • under_5_mortality
  • community
  • household

Did you pay somebody to construct the latrine? If yes, approximate costs: (TSH) (T_9A_6)

Data file: household

Overview

Valid: 2924
Invalid: 800
Type: Discrete
Decimal: 0
Start: 1394
End: 1399
Width: 6
Range: -99 - 700000
Format: Numeric

Questions and instructions

Literal question
Did you pay somebody to construct the latrine? If yes, approximately what were these costs?
Categories
Value Category Cases
-99 DON’T KNOW 303
10.4%
-98 NO, BUILD OURSELVES 1821
62.3%
-9 1
0%
0 71
2.4%
98 1
0%
500 1
0%
1500 3
0.1%
2000 15
0.5%
3000 14
0.5%
3400 1
0%
3500 1
0%
4000 15
0.5%
4500 1
0%
5000 102
3.5%
6000 18
0.6%
7000 23
0.8%
7500 2
0.1%
8000 11
0.4%
9000 4
0.1%
9500 1
0%
10000 152
5.2%
11000 2
0.1%
12000 26
0.9%
13000 3
0.1%
14000 3
0.1%
15000 69
2.4%
16000 3
0.1%
17000 5
0.2%
18000 5
0.2%
19000 2
0.1%
20000 93
3.2%
21000 1
0%
24000 1
0%
25000 18
0.6%
26000 1
0%
27000 1
0%
28000 1
0%
30000 46
1.6%
32000 1
0%
35000 8
0.3%
40000 15
0.5%
45000 3
0.1%
47000 1
0%
50000 17
0.6%
57000 1
0%
60000 6
0.2%
70000 3
0.1%
80000 6
0.2%
100000 9
0.3%
120000 3
0.1%
150000 3
0.1%
170000 2
0.1%
180000 1
0%
300000 2
0.1%
400000 1
0%
700000 1
0%
Sysmiss 800
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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