Kenya Integrated Household Budget Survey 2005-2006
Kenya, 2005 - 2006
Kenya National Bureau of Statistics
Created on
September 14, 2022
Last modified
September 14, 2022
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- Data files
-
Section U
Credit -
Section R
Transfers -
Section S Other
Income -
Section T
Recent Shocks -
consumption
aggregated data -
Section A
Identification -
Section H2
Energy -
Section G
Housing -
Section H1
Water
Sanitation -
Section C
education -
Section D
Health -
Section B
Household
member
Information -
section D
Deaths -
Section D
Fertility -
Section E
Labour -
Section Q
Household
Enterprises -
Section F Child
health -
Section N
Agriculture
Holding -
Section O
Agriculture
Output -
Section P1
Livestock -
Section P2
Livestock
sort of sickness/injury - 1 (d05a)
Data file: Section D Health
Overview
Valid:
17395
Invalid:
49282
Minimum:
1
Maximum:
30
Type:
Continuous
Decimal:
0
Width:
2
Range:
1 - 30
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | fever, malaria | 7401 |
42.5%
|
| 2 | diarrhea | 506 |
2.9%
|
| 3 | stomach ache | 912 |
5.2%
|
| 4 | vomiting | 113 |
0.6%
|
| 5 | upper respiratory(sinuses) | 238 |
1.4%
|
| 6 | lower respiratory (chest, lungs) | 837 |
4.8%
|
| 7 | flu | 2428 |
14%
|
| 8 | asthma | 198 |
1.1%
|
| 9 | headache | 1002 |
5.8%
|
| 10 | skin problem | 233 |
1.3%
|
| 11 | dental problem | 250 |
1.4%
|
| 12 | eye problem | 275 |
1.6%
|
| 13 | ear/nose/throat | 218 |
1.3%
|
| 14 | backache | 366 |
2.1%
|
| 15 | heart problem | 52 |
0.3%
|
| 16 | blood pressure | 100 |
0.6%
|
| 17 | pain when passing urine | 11 |
0.1%
|
| 18 | diabetes | 45 |
0.3%
|
| 19 | mental disorder | 55 |
0.3%
|
| 20 | tb | 47 |
0.3%
|
| 21 | sexually transmitted disease | 7 |
0%
|
| 22 | burn | 29 |
0.2%
|
| 23 | fracture | 124 |
0.7%
|
| 24 | wound | 369 |
2.1%
|
| 25 | poisoning | 3 |
0%
|
| 26 | pregnancy related | 62 |
0.4%
|
| 27 | unspecified long-term illness | 130 |
0.7%
|
| 28 | hiv/aids | 11 |
0.1%
|
| 29 | typhoid | 183 |
1.1%
|
| 30 | other | 1190 |
6.8%
|
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.