Kenya - TURKANA SMART NUTRITION SURVEY 2015
Kenya
Ministry of Health
Created on
February 04, 2025
Last modified
February 04, 2025
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Metadata
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- Data files
- 2015_Turkana
Sub Location Name (Q1_8)
Data file: 2015_Turkana
Overview
Valid:
2562
Invalid:
0
Type:
Discrete
Width:
30
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| atala_kamusio | 16 |
0.6%
|
|
| elelea | 14 |
0.5%
|
|
| kaalem | 54 |
2.1%
|
|
| kaapus | 36 |
1.4%
|
|
| kachoda | 15 |
0.6%
|
|
| kaeris | 32 |
1.2%
|
|
| kainuk | 34 |
1.3%
|
|
| kalapata | 49 |
1.9%
|
|
| kalemngerok | 34 |
1.3%
|
|
| kalemnyang | 30 |
1.2%
|
|
| kalobeyyei | 16 |
0.6%
|
|
| kalokol | 35 |
1.4%
|
|
| kanamkemer | 33 |
1.3%
|
|
| kanaodon | 17 |
0.7%
|
|
| kangakipur | 16 |
0.6%
|
|
| kangitit | 30 |
1.2%
|
|
| kapese | 49 |
1.9%
|
|
| kapua | 14 |
0.5%
|
|
| karach | 52 |
2%
|
|
| karebur | 16 |
0.6%
|
|
| kataboi | 30 |
1.2%
|
|
| katelemot | 16 |
0.6%
|
|
| katiko | 15 |
0.6%
|
|
| katilia | 34 |
1.3%
|
|
| katilu | 68 |
2.7%
|
|
| katome | 18 |
0.7%
|
|
| kerio | 20 |
0.8%
|
|
| kokiselei | 32 |
1.2%
|
|
| kokuro | 34 |
1.3%
|
|
| lobei | 16 |
0.6%
|
|
| lochakula | 16 |
0.6%
|
|
| lochodin | 17 |
0.7%
|
|
| lochor_lomala | 16 |
0.6%
|
|
| lochwaa_ngikamatak | 51 |
2%
|
|
| lodwar_township | 36 |
1.4%
|
|
| loito | 32 |
1.2%
|
|
| lokangae | 32 |
1.2%
|
|
| lokapel | 17 |
0.7%
|
|
| lokariwom | 29 |
1.1%
|
|
| lokichar | 48 |
1.9%
|
|
| lokichoggio | 16 |
0.6%
|
|
| lokipetot_arengani | 18 |
0.7%
|
|
| lokipoto | 48 |
1.9%
|
|
| lokiriama | 16 |
0.6%
|
|
| lokolio | 54 |
2.1%
|
|
| lokomarinyang | 34 |
1.3%
|
|
| lokore | 18 |
0.7%
|
|
| lokori | 22 |
0.9%
|
|
| lokundule | 16 |
0.6%
|
|
| lokwamosing | 17 |
0.7%
|
|
| lomekwi | 15 |
0.6%
|
|
| lomeyan | 64 |
2.5%
|
|
| lomopus | 32 |
1.2%
|
|
| loperot | 33 |
1.3%
|
|
| lopiding | 16 |
0.6%
|
|
| lopur | 128 |
5%
|
|
| loreng | 16 |
0.6%
|
|
| lorengippi | 16 |
0.6%
|
|
| loritit | 17 |
0.7%
|
|
| lorugum | 17 |
0.7%
|
|
| lotikipi | 16 |
0.6%
|
|
| lotubae | 61 |
2.4%
|
|
| lowarengak | 32 |
1.2%
|
|
| nabulukok | 18 |
0.7%
|
|
| nachukui | 31 |
1.2%
|
|
| nadapal | 51 |
2%
|
|
| nadoto | 30 |
1.2%
|
|
| nadunga | 32 |
1.2%
|
|
| nakalale | 32 |
1.2%
|
|
| nakoret | 16 |
0.6%
|
|
| nakurio | 18 |
0.7%
|
|
| nakwamekwi | 36 |
1.4%
|
|
| nakwamoru | 17 |
0.7%
|
|
| nalita | 33 |
1.3%
|
|
| namadak | 17 |
0.7%
|
|
| namon | 16 |
0.6%
|
|
| namorungole | 32 |
1.2%
|
|
| namoruputh | 16 |
0.6%
|
|
| namukuse | 16 |
0.6%
|
|
| napeikar | 18 |
0.7%
|
|
| napetet | 32 |
1.2%
|
|
| naposumuru | 16 |
0.6%
|
|
| natapar | 17 |
0.7%
|
|
| natira | 18 |
0.7%
|
|
| natoo | 16 |
0.6%
|
|
| naworos | 16 |
0.6%
|
|
| oropoi | 16 |
0.6%
|
|
| riakomor | 30 |
1.2%
|
|
| songot | 16 |
0.6%
|
|
| tarach | 16 |
0.6%
|
|
| tiya | 17 |
0.7%
|
|
| turkwel | 32 |
1.2%
|
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.