Multi-Tier Framework Survey for Measuring Energy Access 2017-2018
Zambia, 2017 - 2018
Get MicrodataCreated on
Dec 05, 2019
Last modified
Dec 05, 2019
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- Data files
-
express
sections -
section a
household
roster -
section c solar
devices -
section c
supply and
demand for
electricty
c120-c123 -
section f
kerosen_fuel
based_candle
lighting f1-f14 -
section f
kerosen_fuel
based_candle
lighting
f16-f21 -
section g dry
cell batteries -
section h
household fuel
consumption
h1-h18 -
section h
household fuel
consumption
h19-h21 -
section i use
of cookstoves -
section l
consumption_expenditure -
section m
household
assets
transport -
section n
household
assets electric -
section o
household land
ownership -
section p
household
economic shocks -
section r time
use -
section s
health impacts
s1-s5 -
section s
health impacts
s6-s11 - sample_weight
O1c.If you were to sell, what is the total value? (O1C)
Data file: section o household land ownership
Overview
Valid:
1469
Invalid:
5658
Type:
Discrete
Decimal:
0
Start:
30
End:
37
Width:
8
Range:
-8 - 14000000
Format:
Numeric
Questions and instructions
Literal question
What is the unit the land is measured in?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -8 | Don't know | 288 |
19.6%
|
| 8 | 1 |
0.1%
|
|
| 100 | 3 |
0.2%
|
|
| 120 | 1 |
0.1%
|
|
| 150 | 2 |
0.1%
|
|
| 200 | 3 |
0.2%
|
|
| 250 | 1 |
0.1%
|
|
| 300 | 1 |
0.1%
|
|
| 350 | 1 |
0.1%
|
|
| 400 | 3 |
0.2%
|
|
| 450 | 1 |
0.1%
|
|
| 500 | 29 |
2%
|
|
| 550 | 1 |
0.1%
|
|
| 600 | 44 |
3%
|
|
| 650 | 1 |
0.1%
|
|
| 700 | 23 |
1.6%
|
|
| 750 | 2 |
0.1%
|
|
| 800 | 42 |
2.9%
|
|
| 850 | 2 |
0.1%
|
|
| 900 | 3 |
0.2%
|
|
| 950 | 1 |
0.1%
|
|
| 1000 | 48 |
3.3%
|
|
| 1200 | 12 |
0.8%
|
|
| 1300 | 1 |
0.1%
|
|
| 1350 | 1 |
0.1%
|
|
| 1400 | 2 |
0.1%
|
|
| 1500 | 48 |
3.3%
|
|
| 1600 | 10 |
0.7%
|
|
| 1800 | 8 |
0.5%
|
|
| 1900 | 3 |
0.2%
|
|
| 2000 | 75 |
5.1%
|
|
| 2200 | 1 |
0.1%
|
|
| 2250 | 1 |
0.1%
|
|
| 2300 | 1 |
0.1%
|
|
| 2400 | 4 |
0.3%
|
|
| 2500 | 33 |
2.2%
|
|
| 2800 | 1 |
0.1%
|
|
| 3000 | 53 |
3.6%
|
|
| 3200 | 3 |
0.2%
|
|
| 3500 | 8 |
0.5%
|
|
| 3800 | 1 |
0.1%
|
|
| 4000 | 23 |
1.6%
|
|
| 4440 | 1 |
0.1%
|
|
| 4500 | 13 |
0.9%
|
|
| 5000 | 109 |
7.4%
|
|
| 5500 | 1 |
0.1%
|
|
| 5600 | 1 |
0.1%
|
|
| 5800 | 1 |
0.1%
|
|
| 6000 | 58 |
3.9%
|
|
| 6500 | 1 |
0.1%
|
|
| 7000 | 17 |
1.2%
|
|
| 7500 | 3 |
0.2%
|
|
| 8000 | 46 |
3.1%
|
|
| 9000 | 4 |
0.3%
|
|
| 10000 | 97 |
6.6%
|
|
| 11000 | 2 |
0.1%
|
|
| 12000 | 30 |
2%
|
|
| 12800 | 1 |
0.1%
|
|
| 13000 | 1 |
0.1%
|
|
| 14000 | 3 |
0.2%
|
|
| 15000 | 69 |
4.7%
|
|
| 16000 | 1 |
0.1%
|
|
| 17000 | 2 |
0.1%
|
|
| 18000 | 6 |
0.4%
|
|
| 20000 | 37 |
2.5%
|
|
| 24000 | 1 |
0.1%
|
|
| 25000 | 26 |
1.8%
|
|
| 30000 | 26 |
1.8%
|
|
| 35000 | 10 |
0.7%
|
|
| 40000 | 14 |
1%
|
|
| 45000 | 13 |
0.9%
|
|
| 50000 | 17 |
1.2%
|
|
| 55000 | 2 |
0.1%
|
|
| 60000 | 5 |
0.3%
|
|
| 65000 | 2 |
0.1%
|
|
| 70000 | 2 |
0.1%
|
|
| 75000 | 7 |
0.5%
|
|
| 80000 | 3 |
0.2%
|
|
| 90000 | 2 |
0.1%
|
|
| 95000 | 1 |
0.1%
|
|
| 100000 | 7 |
0.5%
|
|
| 110000 | 1 |
0.1%
|
|
| 120000 | 2 |
0.1%
|
|
| 150000 | 5 |
0.3%
|
|
| 160000 | 1 |
0.1%
|
|
| 200000 | 3 |
0.2%
|
|
| 250000 | 2 |
0.1%
|
|
| 300000 | 3 |
0.2%
|
|
| 400000 | 1 |
0.1%
|
|
| 450000 | 2 |
0.1%
|
|
| 500000 | 7 |
0.5%
|
|
| 750000 | 2 |
0.1%
|
|
| 810000 | 1 |
0.1%
|
|
| 1000000 | 2 |
0.1%
|
|
| 2000000 | 3 |
0.2%
|
|
| 5000000 | 1 |
0.1%
|
|
| 14000000 | 1 |
0.1%
|
|
| Sysmiss | 5658 |
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
Local currency