WAJIR SMART SURVEY 2023
Kenya
Ministry of Health
Created on
February 05, 2025
Last modified
February 05, 2025
Page views
54144
Documentation in PDF
Metadata
DDI/XML
JSON
- Data files
- Wajir_2023_hl
- Wajir_2023_hh
DAYS CONSUMED (hv132)
Data file: Wajir_2023_hh
Overview
Valid:
44
Type:
Discrete
Width:
153
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| Day 1 (7 days before) Day 2 (6 day before) | 1 |
2.3%
|
|
| Day 1 (7 days before) Day 2 (6 day before) Day 3 (5 days before) | 1 |
2.3%
|
|
| Day 1 (7 days before) Day 2 (6 day before) Day 3 (5 days before) Day 4 (4 days before) Day 5 (3 days before) Day 6 (2 days beore) Day 7 (Yesterday) | 2 |
4.5%
|
|
| Day 1 (7 days before) Day 2 (6 day before) Day 4 (4 days before) Day 6 (2 days beore) | 1 |
2.3%
|
|
| Day 1 (7 days before) Day 2 (6 day before) Day 4 (4 days before) Day 6 (2 days beore) Day 7 (Yesterday) | 1 |
2.3%
|
|
| Day 1 (7 days before) Day 3 (5 days before) Day 5 (3 days before) Day 7 (Yesterday) | 4 |
9.1%
|
|
| Day 1 (7 days before) Day 3 (5 days before) Day 6 (2 days beore) | 1 |
2.3%
|
|
| Day 1 (7 days before) Day 3 (5 days before) Day 7 (Yesterday) Day 5 (3 days before) | 1 |
2.3%
|
|
| Day 1 (7 days before) Day 4 (4 days before) | 1 |
2.3%
|
|
| Day 1 (7 days before) Day 4 (4 days before) Day 6 (2 days beore) Day 5 (3 days before) | 1 |
2.3%
|
|
| Day 1 (7 days before) Day 5 (3 days before) Day 7 (Yesterday) | 1 |
2.3%
|
|
| Day 2 (6 day before) | 3 |
6.8%
|
|
| Day 2 (6 day before) Day 3 (5 days before) | 2 |
4.5%
|
|
| Day 2 (6 day before) Day 3 (5 days before) Day 4 (4 days before) Day 7 (Yesterday) Day 5 (3 days before) | 1 |
2.3%
|
|
| Day 2 (6 day before) Day 4 (4 days before) Day 6 (2 days beore) | 2 |
4.5%
|
|
| Day 2 (6 day before) Day 5 (3 days before) | 2 |
4.5%
|
|
| Day 2 (6 day before) Day 5 (3 days before) Day 6 (2 days beore) | 1 |
2.3%
|
|
| Day 2 (6 day before) Day 6 (2 days beore) Day 4 (4 days before) | 1 |
2.3%
|
|
| Day 2 (6 day before) Day 6 (2 days beore) Day 5 (3 days before) Day 7 (Yesterday) | 1 |
2.3%
|
|
| Day 3 (5 days before) | 4 |
9.1%
|
|
| Day 3 (5 days before) Day 6 (2 days beore) | 1 |
2.3%
|
|
| Day 4 (4 days before) | 2 |
4.5%
|
|
| Day 4 (4 days before) Day 2 (6 day before) Day 6 (2 days beore) | 1 |
2.3%
|
|
| Day 4 (4 days before) Day 3 (5 days before) | 1 |
2.3%
|
|
| Day 4 (4 days before) Day 3 (5 days before) Day 2 (6 day before) | 1 |
2.3%
|
|
| Day 5 (3 days before) Day 2 (6 day before) Day 1 (7 days before) | 1 |
2.3%
|
|
| Day 5 (3 days before) Day 3 (5 days before) | 1 |
2.3%
|
|
| Day 5 (3 days before) Day 4 (4 days before) | 1 |
2.3%
|
|
| Day 6 (2 days beore) Day 5 (3 days before) Day 2 (6 day before) Day 4 (4 days before) | 1 |
2.3%
|
|
| Day 7 (Yesterday) Day 6 (2 days beore) Day 4 (4 days before) Day 3 (5 days before) Day 2 (6 day before) Day 1 (7 days before) | 1 |
2.3%
|
|
| Day 7 (Yesterday) Day 6 (2 days beore) Day 5 (3 days before) Day 4 (4 days before) Day 3 (5 days before) Day 2 (6 day before) Day 1 (7 days before) | 1 |
2.3%
|
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.