Integrated Household Budget Survey 2005-2006
Kenya, 2005 - 2006
Created on
Nov 18, 2011
Last modified
Mar 29, 2019
Page views
1412188
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- Data files
-
Section A
Indentification -
Section B
Household
Member
Information -
Section C
education -
section G
Housing -
section H1
Water
Sanitation -
section H2
Energy -
section I
Weekly
Expenditure -
Section M
Durables -
Section JKL
Consumption of
Regular Non
Food Items -
Section D
Fertility -
section D
Deaths -
section F Child
health -
Section Q
Household
Enterprises -
Section P
Livestock -
Section O
Agricultural
Output -
Section N
Agriculture
Holding -
Section U
Credit -
Section R
Transfers -
Section S Other
Income -
Section T
Recent Shocks -
Section E
Employment -
Section D
Health -
consumption
aggregated data
Feeding and Boarding (edrmbrd)
Data file: consumption aggregated data
Overview
Valid:
13158
Invalid:
0
Minimum:
0
Maximum:
240000
Type:
Discrete
Decimal:
2
Start:
330
End:
338
Width:
9
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 0 | |
| 6 | |
| 9 | |
| 90 | |
| 100 | |
| 120 | |
| 150 | |
| 160 | |
| 180 | |
| 200 | |
| 250 | |
| 300 | |
| 350 | |
| 400 | |
| 430 | |
| 500 | |
| 600 | |
| 650 | |
| 670 | |
| 700 | |
| 750 | |
| 800 | |
| 900 | |
| 1000 | |
| 1050 | |
| 1060 | |
| 1120 | |
| 1200 | |
| 1250 | |
| 1300 | |
| 1450 | |
| 1500 | |
| 1600 | |
| 1800 | |
| 2000 | |
| 2100 | |
| 2200 | |
| 2300 | |
| 2400 | |
| 2500 | |
| 2700 | |
| 2800 | |
| 3000 | |
| 3030 | |
| 3100 | |
| 3280 | |
| 3500 | |
| 3600 | |
| 3700 | |
| 3800 | |
| 4000 | |
| 4050 | |
| 4200 | |
| 4300 | |
| 4320 | |
| 4400 | |
| 4500 | |
| 4600 | |
| 4800 | |
| 4850 | |
| 4900 | |
| 5000 | |
| 5200 | |
| 5300 | |
| 5360 | |
| 5400 | |
| 5500 | |
| 5600 | |
| 5793 | |
| 5800 | |
| 6000 | |
| 6200 | |
| 6300 | |
| 6700 | |
| 6800 | |
| 6950 | |
| 7000 | |
| 7500 | |
| 7633 | |
| 7800 | |
| 8000 | |
| 8040 | |
| 8300 | |
| 8400 | |
| 8500 | |
| 8600 | |
| 8800 | |
| 8900 | |
| 9000 | |
| 9325 | |
| 9500 | |
| 9580 | |
| 9600 | |
| 9900 | |
| 10000 | |
| 10100 | |
| 10282 | |
| 10500 | |
| 10600 | |
| 10660 | |
| 10700 | |
| 10880 | |
| 11000 | |
| 11800 | |
| 12000 | |
| 12200 | |
| 12500 | |
| 13000 | |
| 13045 | |
| 13250 | |
| 13500 | |
| 14000 | |
| 14470 | |
| 14650 | |
| 15000 | |
| 15750 | |
| 16000 | |
| 16200 | |
| 16500 | |
| 16700 | |
| 17000 | |
| 18000 | |
| 18300 | |
| 18500 | |
| 18800 | |
| 19000 | |
| 19500 | |
| 19620 | |
| 20000 | |
| 20100 | |
| 20500 | |
| 21000 | |
| 21050 | |
| 21480 | |
| 21500 | |
| 21700 | |
| 21900 | |
| 22000 | |
| 22400 | |
| 22800 | |
| 23000 | |
| 23300 | |
| 23700 | |
| 24000 | |
| 24500 | |
| 24800 | |
| 25000 | |
| 25500 | |
| 26000 | |
| 26300 | |
| 27000 | |
| 27400 | |
| 27500 | |
| 28000 | |
| 29000 | |
| 30000 | |
| 30500 | |
| 31900 | |
| 32400 | |
| 33718 | |
| 34000 | |
| 34200 | |
| 34500 | |
| 35000 | |
| 35800 | |
| 36000 | |
| 36400 | |
| 38000 | |
| 39000 | |
| 40000 | |
| 40500 | |
| 41000 | |
| 44000 | |
| 45000 | |
| 48000 | |
| 49500 | |
| 50000 | |
| 50200 | |
| 52800 | |
| 53600 | |
| 55000 | |
| 57600 | |
| 58420 | |
| 60000 | |
| 61000 | |
| 68000 | |
| 72000 | |
| 80000 | |
| 82000 | |
| 90000 | |
| 120000 | |
| 153000 | |
| 160000 | |
| 168000 | |
| 178500 | |
| 240000 |
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.