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    Home / Central Data Catalog / SMS / DDI-KEN-MOH-SMS-TRK2-2023-V001 / variable [F2]
SMS

TURKANA SMART SURVEY JUNE 2023

Kenya
County Level Smart Surveys in Kenya
Ministry of Health
Created on February 09, 2025 Last modified February 09, 2025 Page views 26884 Download 73 Documentation in PDF Metadata DDI/XML JSON
  • Study description
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  • Turkana_2023_hl
  • Turkana_2023_hh
CSV JSON

if yes, mark days the food was consumed in the last 7 days? (hv210)

Data file: Turkana_2023_hh

Overview

Valid: 79
Type: Discrete
Width: 154
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Day 1 (7 days before) 1
1.3%
Day 1 (7 days before) Day 2 (6 day before) Day 4 (4 days before) Day 5 (3 days before) 1
1.3%
Day 1 (7 days before) Day 2 (6 day before) Day 4 (4 days before) Day 5 (3 days before) Day 7 (Yesterday) 1
1.3%
Day 1 (7 days before) Day 2 (6 day before) Day 4 (4 days before) Day 7 (Yesterday) 1
1.3%
Day 1 (7 days before) Day 2 (6 day before) Day 6 (2 days before) 1
1.3%
Day 1 (7 days before) Day 3 (5 days before) 1
1.3%
Day 1 (7 days before) Day 3 (5 days before) Day 4 (4 days before) Day 7 (Yesterday) 1
1.3%
Day 1 (7 days before) Day 3 (5 days before) Day 5 (3 days before) 2
2.5%
Day 1 (7 days before) Day 3 (5 days before) Day 5 (3 days before) Day 6 (2 days before) 2
2.5%
Day 1 (7 days before) Day 3 (5 days before) Day 5 (3 days before) Day 7 (Yesterday) 3
3.8%
Day 1 (7 days before) Day 3 (5 days before) Day 5 (3 days before) Day 7 (Yesterday) Day 2 (6 day before) Day 4 (4 days before) Day 6 (2 days before) 1
1.3%
Day 1 (7 days before) Day 3 (5 days before) Day 6 (2 days before) 1
1.3%
Day 1 (7 days before) Day 3 (5 days before) Day 7 (Yesterday) 1
1.3%
Day 1 (7 days before) Day 3 (5 days before) Day 7 (Yesterday) Day 6 (2 days before) 1
1.3%
Day 1 (7 days before) Day 4 (4 days before) 1
1.3%
Day 1 (7 days before) Day 4 (4 days before) Day 3 (5 days before) Day 6 (2 days before) 1
1.3%
Day 1 (7 days before) Day 4 (4 days before) Day 6 (2 days before) 2
2.5%
Day 1 (7 days before) Day 4 (4 days before) Day 6 (2 days before) Day 7 (Yesterday) 1
1.3%
Day 1 (7 days before) Day 4 (4 days before) Day 7 (Yesterday) 4
5.1%
Day 1 (7 days before) Day 5 (3 days before) 2
2.5%
Day 1 (7 days before) Day 5 (3 days before) Day 6 (2 days before) Day 3 (5 days before) 1
1.3%
Day 1 (7 days before) Day 5 (3 days before) Day 7 (Yesterday) 2
2.5%
Day 1 (7 days before) Day 5 (3 days before) Day 7 (Yesterday) Day 2 (6 day before) 1
1.3%
Day 2 (6 day before) 1
1.3%
Day 2 (6 day before) Day 4 (4 days before) 1
1.3%
Day 2 (6 day before) Day 4 (4 days before) Day 5 (3 days before) 1
1.3%
Day 2 (6 day before) Day 4 (4 days before) Day 5 (3 days before) Day 3 (5 days before) 1
1.3%
Day 2 (6 day before) Day 5 (3 days before) 5
6.3%
Day 2 (6 day before) Day 5 (3 days before) Day 7 (Yesterday) 2
2.5%
Day 2 (6 day before) Day 7 (Yesterday) 1
1.3%
Day 3 (5 days before) 2
2.5%
Day 3 (5 days before) Day 1 (7 days before) 1
1.3%
Day 3 (5 days before) Day 2 (6 day before) Day 6 (2 days before) Day 4 (4 days before) 1
1.3%
Day 3 (5 days before) Day 4 (4 days before) 1
1.3%
Day 3 (5 days before) Day 5 (3 days before) 1
1.3%
Day 3 (5 days before) Day 5 (3 days before) Day 6 (2 days before) 1
1.3%
Day 3 (5 days before) Day 5 (3 days before) Day 7 (Yesterday) 2
2.5%
Day 3 (5 days before) Day 6 (2 days before) Day 2 (6 day before) 1
1.3%
Day 3 (5 days before) Day 6 (2 days before) Day 7 (Yesterday) 1
1.3%
Day 4 (4 days before) 4
5.1%
Day 4 (4 days before) Day 2 (6 day before) Day 6 (2 days before) 1
1.3%
Day 4 (4 days before) Day 3 (5 days before) 1
1.3%
Day 4 (4 days before) Day 6 (2 days before) Day 7 (Yesterday) Day 2 (6 day before) 1
1.3%
Day 5 (3 days before) 2
2.5%
Day 6 (2 days before) 1
1.3%
Day 6 (2 days before) Day 1 (7 days before) 1
1.3%
Day 6 (2 days before) Day 3 (5 days before) 1
1.3%
Day 6 (2 days before) Day 4 (4 days before) Day 2 (6 day before) 1
1.3%
Day 6 (2 days before) Day 4 (4 days before) Day 3 (5 days before) Day 2 (6 day before) 1
1.3%
Day 6 (2 days before) Day 5 (3 days before) Day 3 (5 days before) Day 2 (6 day before) 1
1.3%
Day 7 (Yesterday) Day 3 (5 days before) Day 5 (3 days before) Day 4 (4 days before) 1
1.3%
Day 7 (Yesterday) Day 4 (4 days before) 1
1.3%
Day 7 (Yesterday) Day 5 (3 days before) 1
1.3%
Day 7 (Yesterday) Day 5 (3 days before) Day 3 (5 days before) 1
1.3%
Day 7 (Yesterday) Day 5 (3 days before) Day 3 (5 days before) Day 2 (6 day before) 3
3.8%
Day 7 (Yesterday) Day 5 (3 days before) Day 3 (5 days before) Day 2 (6 day before) Day 1 (7 days before) 1
1.3%
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.
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