Smart Survey Isiolo_2019
Kenya
Ministry of Health
Created on
February 05, 2025
Last modified
February 05, 2025
Page views
18775
Documentation in PDF
Metadata
DDI/XML
JSON
- Data files
- Isiolo_2019_hl
- Isiolo_2019_hh
If yes, mark days the food was consumed in the last 7 days? (hv136)
Data file: Isiolo_2019_hh
Overview
Valid:
400
Invalid:
0
Type:
Discrete
Width:
41
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| Day 1 | 3 |
0.8%
|
|
| Day 1 Day 2 | 1 |
0.3%
|
|
| Day 1 Day 2 Day 3 | 3 |
0.8%
|
|
| Day 1 Day 2 Day 3 Day 4 | 3 |
0.8%
|
|
| Day 1 Day 2 Day 3 Day 4 Day 5 | 9 |
2.3%
|
|
| Day 1 Day 2 Day 3 Day 4 Day 5 Day 6 | 7 |
1.8%
|
|
| Day 1 Day 2 Day 3 Day 4 Day 5 Day 6 Day 7 | 27 |
6.8%
|
|
| Day 1 Day 2 Day 3 Day 4 Day 5 Day 7 | 1 |
0.3%
|
|
| Day 1 Day 2 Day 3 Day 5 Day 6 | 1 |
0.3%
|
|
| Day 1 Day 2 Day 3 Day 5 Day 6 Day 7 | 2 |
0.5%
|
|
| Day 1 Day 2 Day 3 Day 5 Day 7 | 2 |
0.5%
|
|
| Day 1 Day 2 Day 4 | 2 |
0.5%
|
|
| Day 1 Day 2 Day 4 Day 5 | 2 |
0.5%
|
|
| Day 1 Day 2 Day 4 Day 6 | 4 |
1%
|
|
| Day 1 Day 2 Day 4 Day 6 Day 7 | 2 |
0.5%
|
|
| Day 1 Day 2 Day 4 Day 7 | 3 |
0.8%
|
|
| Day 1 Day 2 Day 5 Day 6 | 1 |
0.3%
|
|
| Day 1 Day 2 Day 5 Day 7 | 1 |
0.3%
|
|
| Day 1 Day 3 | 1 |
0.3%
|
|
| Day 1 Day 3 Day 4 Day 5 | 2 |
0.5%
|
|
| Day 1 Day 3 Day 4 Day 5 Day 6 | 2 |
0.5%
|
|
| Day 1 Day 3 Day 4 Day 5 Day 6 Day 7 | 1 |
0.3%
|
|
| Day 1 Day 3 Day 4 Day 6 | 3 |
0.8%
|
|
| Day 1 Day 3 Day 4 Day 6 Day 7 | 2 |
0.5%
|
|
| Day 1 Day 3 Day 4 Day 7 | 2 |
0.5%
|
|
| Day 1 Day 3 Day 5 | 3 |
0.8%
|
|
| Day 1 Day 3 Day 5 Day 6 | 8 |
2%
|
|
| Day 1 Day 3 Day 5 Day 6 Day 7 | 4 |
1%
|
|
| Day 1 Day 3 Day 5 Day 7 | 12 |
3%
|
|
| Day 1 Day 3 Day 6 | 8 |
2%
|
|
| Day 1 Day 3 Day 6 Day 7 | 3 |
0.8%
|
|
| Day 1 Day 3 Day 7 | 2 |
0.5%
|
|
| Day 1 Day 3 Day 7 Day 5 | 1 |
0.3%
|
|
| Day 1 Day 4 | 7 |
1.8%
|
|
| Day 1 Day 4 Day 6 | 5 |
1.3%
|
|
| Day 1 Day 4 Day 6 Day 7 | 1 |
0.3%
|
|
| Day 1 Day 4 Day 7 | 10 |
2.5%
|
|
| Day 1 Day 5 | 4 |
1%
|
|
| Day 1 Day 5 Day 6 | 1 |
0.3%
|
|
| Day 1 Day 5 Day 7 | 4 |
1%
|
|
| Day 1 Day 6 | 2 |
0.5%
|
|
| Day 1 Day 6 Day 7 | 1 |
0.3%
|
|
| Day 1 Day 7 | 3 |
0.8%
|
|
| Day 2 | 10 |
2.5%
|
|
| Day 2 Day 3 | 3 |
0.8%
|
|
| Day 2 Day 3 Day 4 | 4 |
1%
|
|
| Day 2 Day 3 Day 4 Day 5 | 2 |
0.5%
|
|
| Day 2 Day 3 Day 4 Day 5 Day 6 | 1 |
0.3%
|
|
| Day 2 Day 3 Day 4 Day 6 | 2 |
0.5%
|
|
| Day 2 Day 3 Day 5 | 5 |
1.3%
|
|
| Day 2 Day 3 Day 5 Day 6 | 1 |
0.3%
|
|
| Day 2 Day 3 Day 5 Day 6 Day 7 | 1 |
0.3%
|
|
| Day 2 Day 3 Day 5 Day 7 | 3 |
0.8%
|
|
| Day 2 Day 3 Day 6 | 4 |
1%
|
|
| Day 2 Day 3 Day 7 | 3 |
0.8%
|
|
| Day 2 Day 4 | 2 |
0.5%
|
|
| Day 2 Day 4 Day 5 | 1 |
0.3%
|
|
| Day 2 Day 4 Day 5 Day 6 | 7 |
1.8%
|
|
| Day 2 Day 4 Day 5 Day 7 | 1 |
0.3%
|
|
| Day 2 Day 4 Day 6 | 20 |
5%
|
|
| Day 2 Day 4 Day 6 Day 7 | 7 |
1.8%
|
|
| Day 2 Day 4 Day 7 | 4 |
1%
|
|
| Day 2 Day 4 Day 7 Day 3 | 1 |
0.3%
|
|
| Day 2 Day 5 | 15 |
3.8%
|
|
| Day 2 Day 5 Day 6 | 6 |
1.5%
|
|
| Day 2 Day 5 Day 7 | 7 |
1.8%
|
|
| Day 2 Day 6 | 11 |
2.8%
|
|
| Day 2 Day 6 Day 4 | 1 |
0.3%
|
|
| Day 2 Day 7 | 3 |
0.8%
|
|
| Day 3 | 18 |
4.5%
|
|
| Day 3 Day 4 | 2 |
0.5%
|
|
| Day 3 Day 4 Day 5 | 2 |
0.5%
|
|
| Day 3 Day 4 Day 6 Day 7 | 3 |
0.8%
|
|
| Day 3 Day 4 Day 6 Day 7 Day 2 | 1 |
0.3%
|
|
| Day 3 Day 5 | 7 |
1.8%
|
|
| Day 3 Day 5 Day 1 | 1 |
0.3%
|
|
| Day 3 Day 5 Day 2 | 1 |
0.3%
|
|
| Day 3 Day 5 Day 6 | 1 |
0.3%
|
|
| Day 3 Day 5 Day 7 | 4 |
1%
|
|
| Day 3 Day 6 | 7 |
1.8%
|
|
| Day 3 Day 6 Day 1 | 1 |
0.3%
|
|
| Day 3 Day 6 Day 7 | 1 |
0.3%
|
|
| Day 3 Day 7 | 2 |
0.5%
|
|
| Day 4 | 23 |
5.8%
|
|
| Day 4 Day 5 | 2 |
0.5%
|
|
| Day 4 Day 5 Day 6 | 1 |
0.3%
|
|
| Day 4 Day 6 | 3 |
0.8%
|
|
| Day 4 Day 6 Day 1 | 1 |
0.3%
|
|
| Day 4 Day 6 Day 7 | 2 |
0.5%
|
|
| Day 4 Day 7 | 1 |
0.3%
|
|
| Day 5 | 8 |
2%
|
|
| Day 5 Day 2 | 1 |
0.3%
|
|
| Day 5 Day 6 Day 7 | 1 |
0.3%
|
|
| Day 6 | 7 |
1.8%
|
|
| Day 6 Day 2 | 1 |
0.3%
|
|
| Day 6 Day 3 | 1 |
0.3%
|
|
| Day 6 Day 4 Day 2 | 1 |
0.3%
|
|
| Day 7 | 4 |
1%
|
|
| Day 7 Day 5 Day 4 Day 3 | 1 |
0.3%
|
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.