Integrated Household Budget Survey 2005-2006
Kenya, 2005 - 2006
Created on
Nov 18, 2011
Last modified
Mar 29, 2019
Page views
1412137
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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
If sold, how much worth (g05)
Data file: section G Housing
Overview
Valid:
12983
Invalid:
94
Minimum:
0
Maximum:
40000000
Type:
Discrete
Decimal:
0
Start:
20
End:
27
Width:
8
Range:
-
Format:
Questions and instructions
Literal question
If you sold this dwelling today, how much would it sell for?
Categories
| Value | Category |
|---|---|
| 0 | |
| 1 | |
| 2 | |
| 4 | |
| 5 | |
| 6 | |
| 7 | |
| 8 | |
| 10 | |
| 15 | |
| 16 | |
| 20 | |
| 30 | |
| 35 | |
| 40 | |
| 45 | |
| 50 | |
| 98 | |
| 100 | |
| 120 | |
| 150 | |
| 200 | |
| 250 | |
| 300 | |
| 350 | |
| 400 | |
| 500 | |
| 600 | |
| 700 | |
| 800 | |
| 900 | |
| 1000 | |
| 1100 | |
| 1200 | |
| 1250 | |
| 1300 | |
| 1350 | |
| 1400 | |
| 1500 | |
| 1550 | |
| 1600 | |
| 1700 | |
| 1800 | |
| 1900 | |
| 2000 | |
| 2100 | |
| 2200 | |
| 2300 | |
| 2380 | |
| 2400 | |
| 2500 | |
| 2600 | |
| 2700 | |
| 2800 | |
| 2900 | |
| 3000 | |
| 3200 | |
| 3400 | |
| 3475 | |
| 3500 | |
| 3600 | |
| 3700 | |
| 3800 | |
| 3850 | |
| 3900 | |
| 4000 | |
| 4180 | |
| 4200 | |
| 4300 | |
| 4500 | |
| 4600 | |
| 4700 | |
| 4800 | |
| 5000 | |
| 5100 | |
| 5200 | |
| 5300 | |
| 5400 | |
| 5500 | |
| 5540 | |
| 5600 | |
| 5700 | |
| 5800 | |
| 6000 | |
| 6500 | |
| 6510 | |
| 6800 | |
| 6900 | |
| 7000 | |
| 7021 | |
| 7300 | |
| 7500 | |
| 8000 | |
| 8500 | |
| 8700 | |
| 9000 | |
| 9500 | |
| 9520 | |
| 10000 | |
| 10200 | |
| 10500 | |
| 10800 | |
| 10900 | |
| 11000 | |
| 11200 | |
| 11500 | |
| 12000 | |
| 12500 | |
| 13000 | |
| 13600 | |
| 14000 | |
| 15000 | |
| 15200 | |
| 16000 | |
| 16190 | |
| 16500 | |
| 17000 | |
| 18000 | |
| 19000 | |
| 20000 | |
| 20500 | |
| 21000 | |
| 21900 | |
| 22000 | |
| 23000 | |
| 24000 | |
| 24200 | |
| 24630 | |
| 25000 | |
| 25800 | |
| 26000 | |
| 27000 | |
| 27300 | |
| 27500 | |
| 27920 | |
| 28000 | |
| 28480 | |
| 29000 | |
| 29500 | |
| 30000 | |
| 30800 | |
| 31000 | |
| 32000 | |
| 33000 | |
| 35000 | |
| 35600 | |
| 36000 | |
| 37000 | |
| 37500 | |
| 38000 | |
| 39000 | |
| 39100 | |
| 40000 | |
| 41000 | |
| 42000 | |
| 43000 | |
| 44000 | |
| 45000 | |
| 46000 | |
| 47000 | |
| 48000 | |
| 49000 | |
| 50000 | |
| 52000 | |
| 54000 | |
| 55000 | |
| 56000 | |
| 57000 | |
| 58000 | |
| 60000 | |
| 61000 | |
| 61450 | |
| 62000 | |
| 63000 | |
| 65000 | |
| 67000 | |
| 68000 | |
| 70000 | |
| 73000 | |
| 75000 | |
| 76000 | |
| 80000 | |
| 82000 | |
| 85000 | |
| 86000 | |
| 86030 | |
| 88000 | |
| 88750 | |
| 89000 | |
| 90000 | |
| 94000 | |
| 96700 | |
| 98000 | |
| 100000 | |
| 100200 | |
| 105000 | |
| 110000 | |
| 112500 | |
| 120000 | |
| 128000 | |
| 130000 | |
| 133000 | |
| 135000 | |
| 140000 | |
| 150000 | |
| 160000 | |
| 170000 | |
| 175000 | |
| 180000 | |
| 190000 | |
| 200000 | |
| 205000 | |
| 210000 | |
| 220000 | |
| 230000 | |
| 240000 | |
| 250000 | |
| 251000 | |
| 260000 | |
| 265000 | |
| 270000 | |
| 280000 | |
| 290000 | |
| 300000 | |
| 301000 | |
| 310000 | |
| 315000 | |
| 320000 | |
| 325000 | |
| 350000 | |
| 358000 | |
| 380000 | |
| 400000 | |
| 450000 | |
| 480000 | |
| 500000 | |
| 530000 | |
| 580000 | |
| 600000 | |
| 650000 | |
| 680000 | |
| 700000 | |
| 750000 | |
| 760000 | |
| 800000 | |
| 900000 | |
| 980000 | |
| 1000000 | |
| 1100000 | |
| 1120000 | |
| 1200000 | |
| 1400000 | |
| 1500000 | |
| 1600000 | |
| 1700000 | |
| 1800000 | |
| 2000000 | |
| 2400000 | |
| 2500000 | |
| 2900000 | |
| 3000000 | |
| 3500000 | |
| 3700000 | |
| 3800000 | |
| 4000000 | |
| 4500000 | |
| 5000000 | |
| 5500000 | |
| 6000000 | |
| 6400000 | |
| 7000000 | |
| 8000000 | |
| 10000000 | |
| 11000000 | |
| 11500000 | |
| 12000000 | |
| 13000000 | |
| 14000000 | |
| 15000000 | |
| 16000000 | |
| 17000000 | |
| 18000000 | |
| 20000000 | |
| 22000000 | |
| 23000000 | |
| 25000000 | |
| 30000000 | |
| 35000000 | |
| 40000000 | |
| Sysmiss |
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.
Question post text
KSHS