Kenya Household Health Expenditure and Utilisation Survey (KHHEUS), 2013
Kenya, 2013
Division of Policy and Planning
Created on
June 01, 2022
Last modified
June 01, 2022
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84117
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Documentation in PDF
Metadata
DDI/XML
JSON
(CountyCode)
Data file: In-patients_Data
Overview
Valid:
3797
Invalid:
0
Minimum:
1
Maximum:
47
Type:
Continuous
Decimal:
0
Width:
4
Range:
1 - 47
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | MOMBASA (COUNTY) | 74 |
1.9%
|
| 2 | KWALE | 62 |
1.6%
|
| 3 | KILIFI | 54 |
1.4%
|
| 4 | TANA RIVER | 47 |
1.2%
|
| 5 | LAMU | 94 |
2.5%
|
| 6 | TAITA–TAVETA | 68 |
1.8%
|
| 7 | GARISSA | 0 |
0%
|
| 8 | WAJIR | 0 |
0%
|
| 9 | MANDERA | 0 |
0%
|
| 10 | MARSABIT | 94 |
2.5%
|
| 11 | ISIOLO | 80 |
2.1%
|
| 12 | MERU | 109 |
2.9%
|
| 13 | THARAKA-NITHI | 129 |
3.4%
|
| 14 | EMBU | 101 |
2.7%
|
| 15 | KITUI | 88 |
2.3%
|
| 16 | MACHAKOS | 63 |
1.7%
|
| 17 | MAKUENI | 44 |
1.2%
|
| 18 | NYANDARUA | 80 |
2.1%
|
| 19 | NYERI | 76 |
2%
|
| 20 | KIRINYAGA | 99 |
2.6%
|
| 21 | MURANG'A | 76 |
2%
|
| 22 | KIAMBU | 72 |
1.9%
|
| 23 | TURKANA | 65 |
1.7%
|
| 24 | WEST POKOT | 84 |
2.2%
|
| 25 | SAMBURU | 68 |
1.8%
|
| 26 | TRANS-NZOIA | 64 |
1.7%
|
| 27 | UASIN GISHU | 47 |
1.2%
|
| 28 | ELGEYO-MARAKWET | 82 |
2.2%
|
| 29 | NANDI | 62 |
1.6%
|
| 30 | BARINGO | 63 |
1.7%
|
| 31 | LAIKIPIA | 68 |
1.8%
|
| 32 | NAKURU | 80 |
2.1%
|
| 33 | NAROK | 75 |
2%
|
| 34 | KAJIADO | 86 |
2.3%
|
| 35 | KERICHO | 88 |
2.3%
|
| 36 | BOMET | 97 |
2.6%
|
| 37 | KAKAMEGA | 105 |
2.8%
|
| 38 | VIHIGA | 102 |
2.7%
|
| 39 | BUNGOMA | 99 |
2.6%
|
| 40 | BUSIA | 148 |
3.9%
|
| 41 | SIAYA | 80 |
2.1%
|
| 42 | KISUMU | 126 |
3.3%
|
| 43 | HOMA BAY | 131 |
3.5%
|
| 44 | MIGORI | 159 |
4.2%
|
| 45 | KISII | 108 |
2.8%
|
| 46 | NYAMIRA | 82 |
2.2%
|
| 47 | NAIROBI (COUNTY) | 118 |
3.1%
|
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.