Kenya Demographic and Health Survey 2014
Kenya, 2014
Kenya National Bureau of Statistics (KNBS)
Created on
February 15, 2023
Last modified
February 15, 2023
Page views
1481621
Download
12184
Documentation in PDF
Metadata
DDI/XML
JSON
Timing of start of fansidar (ML15A)
Data file: Births Recode
Overview
Valid:
59
Invalid:
83532
Type:
Discrete
Decimal:
0
Width:
1
Range:
0 - 8
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | Same day as fever/cough | 19 |
32.2%
|
| 1 | Next day | 15 |
25.4%
|
| 2 | 2 days after | 15 |
25.4%
|
| 3 | 3 days after | 6 |
10.2%
|
| 4 | 4+ days after | 3 |
5.1%
|
| 8 | Don't know | 1 |
1.7%
|
| Sysmiss | 83532 |
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.