Water and Sanitation Impact Evaluation 2015-2019
Baseline and Endline Survey

Kenya, 2015 - 2019

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Reference ID

KEN_2015-2019_WASHIE_v01_M

Producer(s)

Aidan Coville, Sebastian Galiani, Paul Gertler

Metadata

Documentation in PDF DDI/XML JSON

Study website

Created on

Sep 03, 2025

Last modified

Sep 03, 2025

Page views

353

Downloads

I don't get upset too easily (i28_h)

Data file: tenant_end.dta

Overview

Valid: 399

Invalid: 5

Minimum: 1

Maximum: 5

Type: Discrete

Decimal: 0

Start: 750

End: 753

Width: 4

Range: 1 - 5

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
-999	Don't know	0	0%
1		126	31.6%
2		138	34.6%
3		20	5%
4		62	15.5%
5		53	13.3%
Sysmiss		5

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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