Multi-Tier Energy Access Tracking Framework Global Survey 2016-2018
Kenya, 2016 - 2018
Get MicrodataCreated on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
23127
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166
L.17 House Rent (l_l_17)
Data file: MTF_HH_Core_Survey_Final_Data_trimmed-2.dta
Overview
Valid:
1149
Invalid:
3441
Minimum:
0
Maximum:
400000
Type:
Discrete
Decimal:
0
Start:
2236
End:
2241
Width:
6
Range:
0 - 400000
Format:
Numeric
Questions and instructions
Question pretext
Goods and Services Monthly Expenditure
Literal question
Value of Expenditure (local currency) during last 30 days
- House Rent
- House Rent
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 15 |
1.3%
|
|
| 100 | 3 |
0.3%
|
|
| 150 | 1 |
0.1%
|
|
| 200 | 4 |
0.3%
|
|
| 250 | 1 |
0.1%
|
|
| 300 | 3 |
0.3%
|
|
| 350 | 1 |
0.1%
|
|
| 400 | 3 |
0.3%
|
|
| 500 | 15 |
1.3%
|
|
| 555 | 4 |
0.3%
|
|
| 600 | 6 |
0.5%
|
|
| 700 | 14 |
1.2%
|
|
| 800 | 11 |
1%
|
|
| 888 | Do not know | 33 |
2.9%
|
| 900 | 2 |
0.2%
|
|
| 1000 | 34 |
3%
|
|
| 1200 | 15 |
1.3%
|
|
| 1300 | 4 |
0.3%
|
|
| 1400 | 3 |
0.3%
|
|
| 1500 | 63 |
5.5%
|
|
| 1600 | 1 |
0.1%
|
|
| 1700 | 4 |
0.3%
|
|
| 1800 | 8 |
0.7%
|
|
| 2000 | 90 |
7.8%
|
|
| 2100 | 1 |
0.1%
|
|
| 2300 | 6 |
0.5%
|
|
| 2400 | 1 |
0.1%
|
|
| 2500 | 102 |
8.9%
|
|
| 2600 | 2 |
0.2%
|
|
| 2700 | 4 |
0.3%
|
|
| 2800 | 5 |
0.4%
|
|
| 3000 | 90 |
7.8%
|
|
| 3100 | 2 |
0.2%
|
|
| 3200 | 5 |
0.4%
|
|
| 3300 | 2 |
0.2%
|
|
| 3500 | 64 |
5.6%
|
|
| 3550 | 1 |
0.1%
|
|
| 3600 | 1 |
0.1%
|
|
| 3700 | 1 |
0.1%
|
|
| 3800 | 4 |
0.3%
|
|
| 4000 | 64 |
5.6%
|
|
| 4300 | 1 |
0.1%
|
|
| 4500 | 42 |
3.7%
|
|
| 4800 | 1 |
0.1%
|
|
| 5000 | 62 |
5.4%
|
|
| 5200 | 1 |
0.1%
|
|
| 5400 | 2 |
0.2%
|
|
| 5500 | 15 |
1.3%
|
|
| 5600 | 1 |
0.1%
|
|
| 6000 | 38 |
3.3%
|
|
| 6400 | 1 |
0.1%
|
|
| 6500 | 12 |
1%
|
|
| 7000 | 31 |
2.7%
|
|
| 7500 | 10 |
0.9%
|
|
| 8000 | 42 |
3.7%
|
|
| 8500 | 10 |
0.9%
|
|
| 9000 | 7 |
0.6%
|
|
| 9500 | 1 |
0.1%
|
|
| 10000 | 33 |
2.9%
|
|
| 11000 | 4 |
0.3%
|
|
| 12000 | 26 |
2.3%
|
|
| 13000 | 8 |
0.7%
|
|
| 14000 | 2 |
0.2%
|
|
| 15000 | 30 |
2.6%
|
|
| 15500 | 1 |
0.1%
|
|
| 16000 | 4 |
0.3%
|
|
| 17000 | 1 |
0.1%
|
|
| 17500 | 1 |
0.1%
|
|
| 18000 | 6 |
0.5%
|
|
| 20000 | 11 |
1%
|
|
| 22000 | 1 |
0.1%
|
|
| 25000 | 10 |
0.9%
|
|
| 26000 | 1 |
0.1%
|
|
| 27000 | 1 |
0.1%
|
|
| 28000 | 4 |
0.3%
|
|
| 30000 | 11 |
1%
|
|
| 35000 | 2 |
0.2%
|
|
| 37000 | 1 |
0.1%
|
|
| 40000 | 2 |
0.2%
|
|
| 45000 | 5 |
0.4%
|
|
| 50000 | 3 |
0.3%
|
|
| 56000 | 1 |
0.1%
|
|
| 60000 | 2 |
0.2%
|
|
| 68000 | 1 |
0.1%
|
|
| 80000 | 1 |
0.1%
|
|
| 100000 | 1 |
0.1%
|
|
| 100300 | 1 |
0.1%
|
|
| 200000 | 1 |
0.1%
|
|
| 240000 | 1 |
0.1%
|
|
| 300000 | 1 |
0.1%
|
|
| 400000 | 1 |
0.1%
|
|
| Sysmiss | 3441 |
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.