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

Kenya, 2015 - 2019

Get Microdata

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

563

Downloads

Gender (mem_gend6)

Data file: tenant_bl.dta

Overview

Valid: 320

Invalid: 4110

Minimum: 1

Maximum: 2

Type: Discrete

Decimal: 0

Start: 70

End: 70

Width: 1

Range: 1 - 2

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	Male	172	53.8%
2	Female	148	46.3%
Sysmiss		4110

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.

Back to Catalog