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    Home / Central Data Catalog / SMS / DDI-KEN-MOH-SMS-ISL-2022-V001 / variable [F2]
SMS

ISIOLO SMART SURVEY 2022

Kenya
County Level Smart Surveys in Kenya
Ministry of Health
Created on February 06, 2025 Last modified February 06, 2025 Page views 25744 Download 53 Documentation in PDF Metadata DDI/XML JSON
  • Study description
  • Documentation
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  • Isiolo_2022_hl
  • Isiolo_2022_hh
CSV JSON

DAYS CONSUMED49 (fd075)

Data file: Isiolo_2022_hh

Overview

Valid: 162
Type: Discrete
Width: 166
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Day 1 (Yesterday) 3
1.9%
Day 1 (Yesterday) Day 2 (The day before yesterday) 1
0.6%
Day 1 (Yesterday) Day 2 (The day before yesterday) Day 3 (3 days before) Day 4 (4 days before) Day 5 (5 days before) 1
0.6%
Day 1 (Yesterday) Day 2 (The day before yesterday) Day 3 (3 days before) Day 4 (4 days before) Day 5 (5 days before) Day 6 (6 days before) Day 7 (7 days before) 3
1.9%
Day 1 (Yesterday) Day 2 (The day before yesterday) Day 4 (4 days before) Day 3 (3 days before) Day 5 (5 days before) Day 6 (6 days before) Day 7 (7 days before) 1
0.6%
Day 1 (Yesterday) Day 2 (The day before yesterday) Day 4 (4 days before) Day 5 (5 days before) 2
1.2%
Day 1 (Yesterday) Day 2 (The day before yesterday) Day 4 (4 days before) Day 5 (5 days before) Day 7 (7 days before) 2
1.2%
Day 1 (Yesterday) Day 2 (The day before yesterday) Day 4 (4 days before) Day 6 (6 days before) Day 3 (3 days before) 1
0.6%
Day 1 (Yesterday) Day 2 (The day before yesterday) Day 4 (4 days before) Day 6 (6 days before) Day 7 (7 days before) 2
1.2%
Day 1 (Yesterday) Day 2 (The day before yesterday) Day 4 (4 days before) Day 7 (7 days before) 1
0.6%
Day 1 (Yesterday) Day 2 (The day before yesterday) Day 5 (5 days before) Day 6 (6 days before) Day 3 (3 days before) Day 4 (4 days before) Day 7 (7 days before) 1
0.6%
Day 1 (Yesterday) Day 2 (The day before yesterday) Day 5 (5 days before) Day 7 (7 days before) Day 3 (3 days before) 1
0.6%
Day 1 (Yesterday) Day 3 (3 days before) Day 4 (4 days before) 1
0.6%
Day 1 (Yesterday) Day 3 (3 days before) Day 4 (4 days before) Day 5 (5 days before) Day 6 (6 days before) 2
1.2%
Day 1 (Yesterday) Day 3 (3 days before) Day 4 (4 days before) Day 5 (5 days before) Day 6 (6 days before) Day 7 (7 days before) 1
0.6%
Day 1 (Yesterday) Day 3 (3 days before) Day 4 (4 days before) Day 6 (6 days before) 1
0.6%
Day 1 (Yesterday) Day 3 (3 days before) Day 4 (4 days before) Day 6 (6 days before) Day 7 (7 days before) 2
1.2%
Day 1 (Yesterday) Day 3 (3 days before) Day 4 (4 days before) Day 7 (7 days before) Day 2 (The day before yesterday) 1
0.6%
Day 1 (Yesterday) Day 3 (3 days before) Day 5 (5 days before) 2
1.2%
Day 1 (Yesterday) Day 3 (3 days before) Day 5 (5 days before) Day 6 (6 days before) 3
1.9%
Day 1 (Yesterday) Day 3 (3 days before) Day 5 (5 days before) Day 7 (7 days before) 5
3.1%
Day 1 (Yesterday) Day 3 (3 days before) Day 5 (5 days before) Day 7 (7 days before) Day 2 (The day before yesterday) 1
0.6%
Day 1 (Yesterday) Day 3 (3 days before) Day 6 (6 days before) 1
0.6%
Day 1 (Yesterday) Day 3 (3 days before) Day 6 (6 days before) Day 7 (7 days before) Day 5 (5 days before) 1
0.6%
Day 1 (Yesterday) Day 3 (3 days before) Day 7 (7 days before) Day 5 (5 days before) Day 4 (4 days before) 1
0.6%
Day 1 (Yesterday) Day 3 (3 days before) Day 7 (7 days before) Day 6 (6 days before) Day 2 (The day before yesterday) Day 5 (5 days before) 1
0.6%
Day 1 (Yesterday) Day 4 (4 days before) Day 5 (5 days before) Day 6 (6 days before) Day 3 (3 days before) 1
0.6%
Day 1 (Yesterday) Day 4 (4 days before) Day 6 (6 days before) 1
0.6%
Day 1 (Yesterday) Day 4 (4 days before) Day 6 (6 days before) Day 2 (The day before yesterday) 1
0.6%
Day 1 (Yesterday) Day 4 (4 days before) Day 6 (6 days before) Day 7 (7 days before) 1
0.6%
Day 1 (Yesterday) Day 4 (4 days before) Day 7 (7 days before) 1
0.6%
Day 1 (Yesterday) Day 5 (5 days before) Day 6 (6 days before) 1
0.6%
Day 1 (Yesterday) Day 5 (5 days before) Day 6 (6 days before) Day 3 (3 days before) Day 2 (The day before yesterday) 1
0.6%
Day 1 (Yesterday) Day 5 (5 days before) Day 7 (7 days before) 3
1.9%
Day 1 (Yesterday) Day 6 (6 days before) 3
1.9%
Day 1 (Yesterday) Day 6 (6 days before) Day 7 (7 days before) Day 3 (3 days before) 2
1.2%
Day 1 (Yesterday) Day 7 (7 days before) 1
0.6%
Day 2 (The day before yesterday) 4
2.5%
Day 2 (The day before yesterday) Day 1 (Yesterday) 2
1.2%
Day 2 (The day before yesterday) Day 1 (Yesterday) Day 3 (3 days before) Day 6 (6 days before) Day 7 (7 days before) 1
0.6%
Day 2 (The day before yesterday) Day 1 (Yesterday) Day 5 (5 days before) 1
0.6%
Day 2 (The day before yesterday) Day 3 (3 days before) Day 4 (4 days before) Day 6 (6 days before) 1
0.6%
Day 2 (The day before yesterday) Day 3 (3 days before) Day 5 (5 days before) 1
0.6%
Day 2 (The day before yesterday) Day 3 (3 days before) Day 5 (5 days before) Day 6 (6 days before) Day 1 (Yesterday) 1
0.6%
Day 2 (The day before yesterday) Day 3 (3 days before) Day 5 (5 days before) Day 6 (6 days before) Day 7 (7 days before) 1
0.6%
Day 2 (The day before yesterday) Day 3 (3 days before) Day 6 (6 days before) 1
0.6%
Day 2 (The day before yesterday) Day 3 (3 days before) Day 6 (6 days before) Day 4 (4 days before) 1
0.6%
Day 2 (The day before yesterday) Day 4 (4 days before) Day 1 (Yesterday) Day 3 (3 days before) Day 5 (5 days before) Day 6 (6 days before) Day 7 (7 days before) 1
0.6%
Day 2 (The day before yesterday) Day 4 (4 days before) Day 5 (5 days before) 1
0.6%
Day 2 (The day before yesterday) Day 4 (4 days before) Day 5 (5 days before) Day 7 (7 days before) 1
0.6%
Day 2 (The day before yesterday) Day 4 (4 days before) Day 6 (6 days before) 3
1.9%
Day 2 (The day before yesterday) Day 4 (4 days before) Day 6 (6 days before) Day 7 (7 days before) 1
0.6%
Day 2 (The day before yesterday) Day 4 (4 days before) Day 7 (7 days before) 3
1.9%
Day 2 (The day before yesterday) Day 4 (4 days before) Day 7 (7 days before) Day 1 (Yesterday) 1
0.6%
Day 2 (The day before yesterday) Day 5 (5 days before) 2
1.2%
Day 2 (The day before yesterday) Day 5 (5 days before) Day 6 (6 days before) Day 3 (3 days before) Day 7 (7 days before) 1
0.6%
Day 2 (The day before yesterday) Day 6 (6 days before) Day 3 (3 days before) 1
0.6%
Day 2 (The day before yesterday) Day 6 (6 days before) Day 4 (4 days before) 1
0.6%
Day 2 (The day before yesterday) Day 7 (7 days before) 1
0.6%
Day 3 (3 days before) 6
3.7%
Day 3 (3 days before) Day 2 (The day before yesterday) Day 5 (5 days before) Day 7 (7 days before) 1
0.6%
Day 3 (3 days before) Day 4 (4 days before) Day 5 (5 days before) 2
1.2%
Day 3 (3 days before) Day 4 (4 days before) Day 5 (5 days before) Day 6 (6 days before) Day 1 (Yesterday) 1
0.6%
Day 3 (3 days before) Day 4 (4 days before) Day 6 (6 days before) Day 5 (5 days before) Day 7 (7 days before) Day 1 (Yesterday) Day 2 (The day before yesterday) 1
0.6%
Day 3 (3 days before) Day 5 (5 days before) 1
0.6%
Day 3 (3 days before) Day 5 (5 days before) Day 2 (The day before yesterday) 1
0.6%
Day 3 (3 days before) Day 6 (6 days before) 5
3.1%
Day 3 (3 days before) Day 6 (6 days before) Day 5 (5 days before) 1
0.6%
Day 3 (3 days before) Day 7 (7 days before) 1
0.6%
Day 3 (3 days before) Day 7 (7 days before) Day 5 (5 days before) Day 4 (4 days before) Day 2 (The day before yesterday) 1
0.6%
Day 4 (4 days before) 4
2.5%
Day 4 (4 days before) Day 1 (Yesterday) Day 6 (6 days before) 1
0.6%
Day 4 (4 days before) Day 1 (Yesterday) Day 7 (7 days before) 1
0.6%
Day 4 (4 days before) Day 2 (The day before yesterday) 2
1.2%
Day 4 (4 days before) Day 2 (The day before yesterday) Day 1 (Yesterday) Day 6 (6 days before) 1
0.6%
Day 4 (4 days before) Day 3 (3 days before) 2
1.2%
Day 4 (4 days before) Day 3 (3 days before) Day 2 (The day before yesterday) 1
0.6%
Day 4 (4 days before) Day 3 (3 days before) Day 7 (7 days before) 1
0.6%
Day 4 (4 days before) Day 5 (5 days before) Day 7 (7 days before) 1
0.6%
Day 4 (4 days before) Day 6 (6 days before) 3
1.9%
Day 4 (4 days before) Day 6 (6 days before) Day 1 (Yesterday) 1
0.6%
Day 4 (4 days before) Day 6 (6 days before) Day 7 (7 days before) 2
1.2%
Day 4 (4 days before) Day 7 (7 days before) Day 6 (6 days before) 1
0.6%
Day 5 (5 days before) 4
2.5%
Day 5 (5 days before) Day 1 (Yesterday) Day 7 (7 days before) 1
0.6%
Day 5 (5 days before) Day 3 (3 days before) 4
2.5%
Day 5 (5 days before) Day 3 (3 days before) Day 2 (The day before yesterday) 1
0.6%
Day 5 (5 days before) Day 4 (4 days before) 1
0.6%
Day 5 (5 days before) Day 6 (6 days before) 2
1.2%
Day 5 (5 days before) Day 7 (7 days before) 2
1.2%
Day 6 (6 days before) 4
2.5%
Day 6 (6 days before) Day 2 (The day before yesterday) Day 4 (4 days before) Day 5 (5 days before) 1
0.6%
Day 6 (6 days before) Day 3 (3 days before) 1
0.6%
Day 6 (6 days before) Day 4 (4 days before) 3
1.9%
Day 6 (6 days before) Day 4 (4 days before) Day 3 (3 days before) 1
0.6%
Day 7 (7 days before) Day 2 (The day before yesterday) Day 4 (4 days before) 1
0.6%
Day 7 (7 days before) Day 3 (3 days before) 1
0.6%
Day 7 (7 days before) Day 3 (3 days before) Day 1 (Yesterday) 1
0.6%
Day 7 (7 days before) Day 4 (4 days before) Day 1 (Yesterday) 1
0.6%
Day 7 (7 days before) Day 5 (5 days before) Day 2 (The day before yesterday) 1
0.6%
Day 7 (7 days before) Day 5 (5 days before) Day 4 (4 days before) Day 3 (3 days before) Day 2 (The day before yesterday) Day 6 (6 days before) 1
0.6%
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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