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    Home / Central Data Catalog / DDI-KEN-MOH-SMS-ISL-2020-V001 / variable [F2]
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ISIOLO SMART SURVEY 2020

Kenya
Ministry of Health
Created on February 05, 2025 Last modified February 05, 2025 Page views 25896 Documentation in PDF Metadata DDI/XML JSON
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  • Documentation
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  • Isiolo_2020_hl
  • Isiolo_2020_hh
CSV JSON

DAYS CONSUMED (hv162)

Data file: Isiolo_2020_hh

Overview

Valid: 212
Type: Discrete
Width: 153
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Day 1 (7 days before) 1
0.5%
Day 1 (7 days before) Day 2 (6 day before) 2
0.9%
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
0.9%
Day 1 (7 days before) Day 2 (6 day before) Day 4 (4 days before) Day 5 (3 days before) Day 6 (2 days beore) Day 7 (Yesterday) Day 3 (5 days before) 1
0.5%
Day 1 (7 days before) Day 2 (6 day before) Day 6 (2 days beore) Day 7 (Yesterday) 1
0.5%
Day 1 (7 days before) Day 3 (5 days before) 1
0.5%
Day 1 (7 days before) Day 3 (5 days before) Day 5 (3 days before) 2
0.9%
Day 1 (7 days before) Day 3 (5 days before) Day 5 (3 days before) Day 6 (2 days beore) 2
0.9%
Day 1 (7 days before) Day 3 (5 days before) Day 5 (3 days before) Day 6 (2 days beore) Day 7 (Yesterday) 2
0.9%
Day 1 (7 days before) Day 3 (5 days before) Day 5 (3 days before) Day 7 (Yesterday) 5
2.4%
Day 1 (7 days before) Day 3 (5 days before) Day 6 (2 days beore) 2
0.9%
Day 1 (7 days before) Day 3 (5 days before) Day 6 (2 days beore) Day 7 (Yesterday) 1
0.5%
Day 1 (7 days before) Day 4 (4 days before) 1
0.5%
Day 1 (7 days before) Day 4 (4 days before) Day 5 (3 days before) Day 7 (Yesterday) 2
0.9%
Day 1 (7 days before) Day 4 (4 days before) Day 6 (2 days beore) 2
0.9%
Day 1 (7 days before) Day 4 (4 days before) Day 6 (2 days beore) Day 7 (Yesterday) 3
1.4%
Day 1 (7 days before) Day 4 (4 days before) Day 7 (Yesterday) 3
1.4%
Day 1 (7 days before) Day 6 (2 days beore) Day 3 (5 days before) 2
0.9%
Day 1 (7 days before) Day 6 (2 days beore) Day 7 (Yesterday) 1
0.5%
Day 1 (7 days before) Day 7 (Yesterday) 2
0.9%
Day 1 (7 days before) Day 7 (Yesterday) Day 4 (4 days before) 1
0.5%
Day 2 (6 day before) 6
2.8%
Day 2 (6 day before) Day 1 (7 days before) Day 4 (4 days before) 1
0.5%
Day 2 (6 day before) Day 3 (5 days before) 1
0.5%
Day 2 (6 day before) Day 3 (5 days before) Day 5 (3 days before) 1
0.5%
Day 2 (6 day before) Day 3 (5 days before) Day 5 (3 days before) Day 6 (2 days beore) Day 7 (Yesterday) 1
0.5%
Day 2 (6 day before) Day 3 (5 days before) Day 5 (3 days before) Day 7 (Yesterday) 1
0.5%
Day 2 (6 day before) Day 3 (5 days before) Day 6 (2 days beore) 1
0.5%
Day 2 (6 day before) Day 3 (5 days before) Day 7 (Yesterday) 1
0.5%
Day 2 (6 day before) Day 4 (4 days before) 2
0.9%
Day 2 (6 day before) Day 4 (4 days before) Day 5 (3 days before) Day 6 (2 days beore) 1
0.5%
Day 2 (6 day before) Day 4 (4 days before) Day 5 (3 days before) Day 7 (Yesterday) 2
0.9%
Day 2 (6 day before) Day 4 (4 days before) Day 6 (2 days beore) 6
2.8%
Day 2 (6 day before) Day 4 (4 days before) Day 6 (2 days beore) Day 7 (Yesterday) 3
1.4%
Day 2 (6 day before) Day 4 (4 days before) Day 7 (Yesterday) 4
1.9%
Day 2 (6 day before) Day 4 (4 days before) Day 7 (Yesterday) Day 6 (2 days beore) 1
0.5%
Day 2 (6 day before) Day 5 (3 days before) 6
2.8%
Day 2 (6 day before) Day 5 (3 days before) Day 7 (Yesterday) 5
2.4%
Day 2 (6 day before) Day 6 (2 days beore) 4
1.9%
Day 2 (6 day before) Day 6 (2 days beore) Day 4 (4 days before) 1
0.5%
Day 2 (6 day before) Day 6 (2 days beore) Day 5 (3 days before) 1
0.5%
Day 2 (6 day before) Day 7 (Yesterday) 3
1.4%
Day 3 (5 days before) 5
2.4%
Day 3 (5 days before) Day 1 (7 days before) 2
0.9%
Day 3 (5 days before) Day 2 (6 day before) Day 5 (3 days before) 1
0.5%
Day 3 (5 days before) Day 4 (4 days before) Day 5 (3 days before) Day 7 (Yesterday) 1
0.5%
Day 3 (5 days before) Day 4 (4 days before) Day 6 (2 days beore) 1
0.5%
Day 3 (5 days before) Day 4 (4 days before) Day 6 (2 days beore) Day 7 (Yesterday) 2
0.9%
Day 3 (5 days before) Day 4 (4 days before) Day 7 (Yesterday) 1
0.5%
Day 3 (5 days before) Day 5 (3 days before) 2
0.9%
Day 3 (5 days before) Day 5 (3 days before) Day 2 (6 day before) 1
0.5%
Day 3 (5 days before) Day 5 (3 days before) Day 6 (2 days beore) 1
0.5%
Day 3 (5 days before) Day 5 (3 days before) Day 7 (Yesterday) 4
1.9%
Day 3 (5 days before) Day 5 (3 days before) Day 7 (Yesterday) Day 4 (4 days before) Day 1 (7 days before) Day 2 (6 day before) 1
0.5%
Day 3 (5 days before) Day 5 (3 days before) Day 7 (Yesterday) Day 6 (2 days beore) 1
0.5%
Day 3 (5 days before) Day 6 (2 days beore) 2
0.9%
Day 3 (5 days before) Day 7 (Yesterday) Day 5 (3 days before) 1
0.5%
Day 4 (4 days before) 5
2.4%
Day 4 (4 days before) Day 1 (7 days before) 3
1.4%
Day 4 (4 days before) Day 1 (7 days before) Day 6 (2 days beore) Day 2 (6 day before) 1
0.5%
Day 4 (4 days before) Day 2 (6 day before) 2
0.9%
Day 4 (4 days before) Day 2 (6 day before) Day 1 (7 days before) 2
0.9%
Day 4 (4 days before) Day 3 (5 days before) 1
0.5%
Day 4 (4 days before) Day 5 (3 days before) 2
0.9%
Day 4 (4 days before) Day 5 (3 days before) Day 2 (6 day before) 1
0.5%
Day 4 (4 days before) Day 6 (2 days beore) 1
0.5%
Day 5 (3 days before) 11
5.2%
Day 5 (3 days before) Day 1 (7 days before) 3
1.4%
Day 5 (3 days before) Day 1 (7 days before) Day 7 (Yesterday) 1
0.5%
Day 5 (3 days before) Day 2 (6 day before) 2
0.9%
Day 5 (3 days before) Day 2 (6 day before) Day 1 (7 days before) Day 7 (Yesterday) 1
0.5%
Day 5 (3 days before) Day 3 (5 days before) 2
0.9%
Day 5 (3 days before) Day 3 (5 days before) Day 1 (7 days before) Day 7 (Yesterday) 1
0.5%
Day 5 (3 days before) Day 3 (5 days before) Day 2 (6 day before) 2
0.9%
Day 5 (3 days before) Day 3 (5 days before) Day 2 (6 day before) Day 7 (Yesterday) 1
0.5%
Day 5 (3 days before) Day 7 (Yesterday) 2
0.9%
Day 5 (3 days before) Day 7 (Yesterday) Day 2 (6 day before) 1
0.5%
Day 6 (2 days beore) 1
0.5%
Day 6 (2 days beore) Day 2 (6 day before) 2
0.9%
Day 6 (2 days beore) Day 3 (5 days before) 1
0.5%
Day 6 (2 days beore) Day 3 (5 days before) Day 1 (7 days before) 1
0.5%
Day 6 (2 days beore) Day 3 (5 days before) Day 4 (4 days before) 1
0.5%
Day 6 (2 days beore) Day 3 (5 days before) Day 4 (4 days before) Day 2 (6 day before) 1
0.5%
Day 6 (2 days beore) Day 4 (4 days before) Day 2 (6 day before) 2
0.9%
Day 6 (2 days beore) Day 5 (3 days before) 1
0.5%
Day 6 (2 days beore) Day 5 (3 days before) Day 3 (5 days before) 1
0.5%
Day 6 (2 days beore) Day 5 (3 days before) Day 3 (5 days before) Day 2 (6 day before) 1
0.5%
Day 7 (Yesterday) 7
3.3%
Day 7 (Yesterday) Day 2 (6 day before) 2
0.9%
Day 7 (Yesterday) Day 3 (5 days before) Day 2 (6 day before) Day 1 (7 days before) 1
0.5%
Day 7 (Yesterday) Day 4 (4 days before) 3
1.4%
Day 7 (Yesterday) Day 4 (4 days before) Day 1 (7 days before) 5
2.4%
Day 7 (Yesterday) Day 4 (4 days before) Day 1 (7 days before) Day 5 (3 days before) 1
0.5%
Day 7 (Yesterday) Day 4 (4 days before) Day 3 (5 days before) Day 5 (3 days before) Day 6 (2 days beore) Day 2 (6 day before) Day 1 (7 days before) 1
0.5%
Day 7 (Yesterday) Day 5 (3 days before) 1
0.5%
Day 7 (Yesterday) Day 5 (3 days before) Day 1 (7 days before) Day 4 (4 days before) 1
0.5%
Day 7 (Yesterday) Day 5 (3 days before) Day 4 (4 days before) 1
0.5%
Day 7 (Yesterday) 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) Day 6 (2 days beore) 1
0.5%
Day 7 (Yesterday) Day 6 (2 days beore) 2
0.9%
Day 7 (Yesterday) Day 6 (2 days beore) Day 2 (6 day before) 1
0.5%
Day 7 (Yesterday) Day 6 (2 days beore) Day 3 (5 days before) Day 5 (3 days before) 1
0.5%
Day 7 (Yesterday) Day 6 (2 days beore) Day 5 (3 days before) 1
0.5%
Day 7 (Yesterday) Day 6 (2 days beore) Day 5 (3 days before) Day 3 (5 days before) Day 2 (6 day before) 1
0.5%
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) 8
3.8%
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.
Kenya National Data Archive (KeNADA)

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