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    Home / Central Data Catalog / KEN-KNBS-KIHBS-2005-2006-V1.3 / variable [F27]
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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 Page views 189860 Download 1498 Documentation in PDF Metadata DDI/XML JSON
  • Study description
  • Documentation
  • Data Description
  • Get Microdata
  • 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
CSV JSON

amount of rental propert on residential (s07a)

Data file: Section S Other Income

Overview

Valid: 623
Invalid: 12225
Type: Discrete
Decimal: 0
Width: 7
Range: 0 - 1400000
Format: Numeric

Questions and instructions

Literal question
How much does your household usually receive in rental income per month? (RESIDENTIAL)
Categories
Value Category Cases
0 222
35.6%
1 1
0.2%
6 1
0.2%
100 1
0.2%
150 1
0.2%
200 4
0.6%
250 2
0.3%
300 10
1.6%
360 1
0.2%
400 7
1.1%
450 2
0.3%
500 10
1.6%
600 10
1.6%
666 1
0.2%
700 5
0.8%
750 2
0.3%
800 8
1.3%
833 1
0.2%
900 6
1%
1000 19
3%
1080 1
0.2%
1100 3
0.5%
1200 13
2.1%
1250 2
0.3%
1300 2
0.3%
1400 3
0.5%
1500 8
1.3%
1550 1
0.2%
1600 5
0.8%
1650 1
0.2%
1700 1
0.2%
1750 1
0.2%
1800 4
0.6%
2000 16
2.6%
2100 2
0.3%
2250 1
0.2%
2400 8
1.3%
2500 9
1.4%
2600 1
0.2%
2700 1
0.2%
2900 1
0.2%
3000 17
2.7%
3150 1
0.2%
3200 3
0.5%
3350 1
0.2%
3400 1
0.2%
3500 5
0.8%
3600 4
0.6%
3750 1
0.2%
4000 15
2.4%
4100 1
0.2%
4200 1
0.2%
4500 5
0.8%
4600 1
0.2%
4700 2
0.3%
4800 6
1%
5000 10
1.6%
5100 2
0.3%
5400 1
0.2%
6000 14
2.2%
6200 1
0.2%
6500 1
0.2%
6600 1
0.2%
7000 6
1%
7200 3
0.5%
7900 1
0.2%
8000 9
1.4%
8400 1
0.2%
8600 1
0.2%
9000 2
0.3%
9330 1
0.2%
9600 1
0.2%
9900 1
0.2%
10000 16
2.6%
10500 2
0.3%
10800 1
0.2%
11000 2
0.3%
12000 11
1.8%
12500 1
0.2%
13000 1
0.2%
13200 1
0.2%
14000 3
0.5%
14400 3
0.5%
14800 1
0.2%
15000 10
1.6%
15600 1
0.2%
16000 2
0.3%
17000 2
0.3%
17800 1
0.2%
17900 1
0.2%
18000 1
0.2%
19200 1
0.2%
20000 6
1%
22000 1
0.2%
24000 3
0.5%
27000 2
0.3%
28000 1
0.2%
30000 2
0.3%
33600 1
0.2%
35000 2
0.3%
40000 4
0.6%
45600 1
0.2%
48000 2
0.3%
54000 1
0.2%
60000 5
0.8%
70000 1
0.2%
74900 1
0.2%
78000 1
0.2%
96000 1
0.2%
100000 1
0.2%
120000 1
0.2%
143000 1
0.2%
144000 1
0.2%
180000 1
0.2%
200000 2
0.3%
564000 1
0.2%
1400000 1
0.2%
Sysmiss 12225
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.
var_qstn_ivuinstr
Identifies the type of the source of income recorded under S06. List up to 2 rental properties. List the main ones and this are the ones that bring in most income.
• S07 asks an aggregate income from all rental property.
• The household values these and do not bother household to get the exact details.
An approximate is equally important.
Question post text
KShs
Kenya National Data Archive (KeNADA)

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