Integrated Household Budget Survey 2005-2006
Kenya, 2005 - 2006
Created on
Nov 18, 2011
Last modified
Mar 29, 2019
Page views
1368439
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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
Amount paid for purchase12 months ago (p14)
Data file: Section P Livestock
Overview
Valid:
22218
Invalid:
3983
Minimum:
0
Maximum:
1780000
Type:
Discrete
Decimal:
0
Start:
57
End:
63
Width:
7
Range:
-
Format:
Questions and instructions
Literal question
How much did household pay in total for these […] during the last 12 months?
Categories
| Value | Category |
|---|---|
| 0 | |
| 1 | |
| 2 | |
| 3 | |
| 4 | |
| 6 | |
| 8 | |
| 9 | |
| 10 | |
| 20 | |
| 30 | |
| 35 | |
| 40 | |
| 50 | |
| 60 | |
| 70 | |
| 75 | |
| 80 | |
| 90 | |
| 100 | |
| 110 | |
| 120 | |
| 125 | |
| 130 | |
| 140 | |
| 150 | |
| 155 | |
| 160 | |
| 170 | |
| 180 | |
| 190 | |
| 200 | |
| 205 | |
| 210 | |
| 220 | |
| 225 | |
| 230 | |
| 240 | |
| 250 | |
| 260 | |
| 270 | |
| 280 | |
| 290 | |
| 300 | |
| 310 | |
| 320 | |
| 330 | |
| 340 | |
| 350 | |
| 360 | |
| 365 | |
| 390 | |
| 400 | |
| 410 | |
| 420 | |
| 430 | |
| 440 | |
| 450 | |
| 460 | |
| 470 | |
| 480 | |
| 490 | |
| 500 | |
| 510 | |
| 520 | |
| 530 | |
| 540 | |
| 550 | |
| 560 | |
| 570 | |
| 580 | |
| 600 | |
| 620 | |
| 640 | |
| 650 | |
| 660 | |
| 680 | |
| 690 | |
| 700 | |
| 720 | |
| 750 | |
| 760 | |
| 770 | |
| 780 | |
| 800 | |
| 820 | |
| 840 | |
| 850 | |
| 860 | |
| 880 | |
| 900 | |
| 910 | |
| 920 | |
| 940 | |
| 950 | |
| 960 | |
| 980 | |
| 1000 | |
| 1020 | |
| 1050 | |
| 1070 | |
| 1080 | |
| 1100 | |
| 1110 | |
| 1150 | |
| 1170 | |
| 1180 | |
| 1200 | |
| 1250 | |
| 1280 | |
| 1300 | |
| 1320 | |
| 1350 | |
| 1375 | |
| 1400 | |
| 1420 | |
| 1440 | |
| 1450 | |
| 1500 | |
| 1550 | |
| 1600 | |
| 1700 | |
| 1770 | |
| 1800 | |
| 1810 | |
| 1840 | |
| 1865 | |
| 1880 | |
| 1900 | |
| 1950 | |
| 2000 | |
| 2050 | |
| 2100 | |
| 2150 | |
| 2200 | |
| 2250 | |
| 2300 | |
| 2400 | |
| 2500 | |
| 2550 | |
| 2600 | |
| 2650 | |
| 2700 | |
| 2750 | |
| 2800 | |
| 2850 | |
| 2900 | |
| 2970 | |
| 3000 | |
| 3050 | |
| 3150 | |
| 3200 | |
| 3300 | |
| 3400 | |
| 3500 | |
| 3600 | |
| 3650 | |
| 3700 | |
| 3750 | |
| 3800 | |
| 3850 | |
| 4000 | |
| 4050 | |
| 4100 | |
| 4140 | |
| 4200 | |
| 4250 | |
| 4300 | |
| 4355 | |
| 4400 | |
| 4450 | |
| 4500 | |
| 4600 | |
| 4650 | |
| 4700 | |
| 4800 | |
| 4900 | |
| 4960 | |
| 5000 | |
| 5200 | |
| 5300 | |
| 5500 | |
| 5600 | |
| 5650 | |
| 5700 | |
| 5800 | |
| 6000 | |
| 6100 | |
| 6200 | |
| 6300 | |
| 6400 | |
| 6500 | |
| 6600 | |
| 6700 | |
| 6800 | |
| 6860 | |
| 6900 | |
| 7000 | |
| 7200 | |
| 7250 | |
| 7300 | |
| 7400 | |
| 7500 | |
| 7600 | |
| 7700 | |
| 7800 | |
| 7900 | |
| 8000 | |
| 8200 | |
| 8400 | |
| 8450 | |
| 8500 | |
| 8900 | |
| 9000 | |
| 9100 | |
| 9400 | |
| 9500 | |
| 9600 | |
| 9700 | |
| 9800 | |
| 10000 | |
| 10200 | |
| 10300 | |
| 10400 | |
| 10500 | |
| 10600 | |
| 10800 | |
| 11000 | |
| 11400 | |
| 11500 | |
| 11600 | |
| 12000 | |
| 12500 | |
| 12800 | |
| 12900 | |
| 13000 | |
| 13200 | |
| 13400 | |
| 13500 | |
| 13700 | |
| 14000 | |
| 14200 | |
| 14500 | |
| 14600 | |
| 14800 | |
| 15000 | |
| 15200 | |
| 15500 | |
| 15800 | |
| 16000 | |
| 16400 | |
| 16500 | |
| 16800 | |
| 16900 | |
| 17000 | |
| 17200 | |
| 17400 | |
| 17500 | |
| 18000 | |
| 18500 | |
| 19000 | |
| 19500 | |
| 19900 | |
| 20000 | |
| 20500 | |
| 21000 | |
| 21432 | |
| 21500 | |
| 21800 | |
| 22000 | |
| 23000 | |
| 23200 | |
| 23700 | |
| 23900 | |
| 24000 | |
| 24800 | |
| 25000 | |
| 25300 | |
| 25800 | |
| 25900 | |
| 26000 | |
| 26500 | |
| 27000 | |
| 27100 | |
| 28000 | |
| 29000 | |
| 30000 | |
| 31000 | |
| 32000 | |
| 32600 | |
| 34000 | |
| 34200 | |
| 35000 | |
| 36000 | |
| 38000 | |
| 40000 | |
| 42000 | |
| 43000 | |
| 44000 | |
| 45000 | |
| 47000 | |
| 48000 | |
| 49000 | |
| 50000 | |
| 52000 | |
| 52500 | |
| 56000 | |
| 58000 | |
| 60000 | |
| 62000 | |
| 64000 | |
| 65000 | |
| 70000 | |
| 73500 | |
| 75000 | |
| 84000 | |
| 92500 | |
| 94080 | |
| 170000 | |
| 1780000 | |
| 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
INCLUDE VALUE OF IN-KIND PAYMENTS