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
D9.How much do you think it would cost to do all the internal electrical wiring in your house? (D9)
Data file: express sections
Overview
Valid:
2297
Invalid:
1315
Type:
Discrete
Decimal:
0
Start:
1486
End:
1490
Width:
5
Range:
-8 - 35000
Format:
Numeric
Questions and instructions
Literal question
How much do you think it would cost to do all the internal electrical wiring in your house?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -8 | Don't know | 1474 |
64.2%
|
| 15 | 1 |
0%
|
|
| 30 | 1 |
0%
|
|
| 50 | 2 |
0.1%
|
|
| 100 | 5 |
0.2%
|
|
| 120 | 1 |
0%
|
|
| 150 | 13 |
0.6%
|
|
| 160 | 2 |
0.1%
|
|
| 180 | 9 |
0.4%
|
|
| 190 | 1 |
0%
|
|
| 200 | 88 |
3.8%
|
|
| 208 | 1 |
0%
|
|
| 220 | 1 |
0%
|
|
| 250 | 89 |
3.9%
|
|
| 258 | 2 |
0.1%
|
|
| 280 | 4 |
0.2%
|
|
| 300 | 43 |
1.9%
|
|
| 350 | 34 |
1.5%
|
|
| 400 | 13 |
0.6%
|
|
| 420 | 1 |
0%
|
|
| 450 | 8 |
0.3%
|
|
| 455 | 1 |
0%
|
|
| 470 | 1 |
0%
|
|
| 500 | 81 |
3.5%
|
|
| 508 | 1 |
0%
|
|
| 520 | 1 |
0%
|
|
| 540 | 2 |
0.1%
|
|
| 550 | 13 |
0.6%
|
|
| 560 | 4 |
0.2%
|
|
| 570 | 4 |
0.2%
|
|
| 575 | 1 |
0%
|
|
| 580 | 2 |
0.1%
|
|
| 600 | 48 |
2.1%
|
|
| 650 | 11 |
0.5%
|
|
| 654 | 1 |
0%
|
|
| 655 | 2 |
0.1%
|
|
| 680 | 1 |
0%
|
|
| 690 | 1 |
0%
|
|
| 700 | 33 |
1.4%
|
|
| 750 | 16 |
0.7%
|
|
| 755 | 1 |
0%
|
|
| 770 | 2 |
0.1%
|
|
| 775 | 1 |
0%
|
|
| 790 | 2 |
0.1%
|
|
| 800 | 28 |
1.2%
|
|
| 850 | 4 |
0.2%
|
|
| 880 | 1 |
0%
|
|
| 900 | 20 |
0.9%
|
|
| 950 | 9 |
0.4%
|
|
| 955 | 1 |
0%
|
|
| 970 | 1 |
0%
|
|
| 990 | 1 |
0%
|
|
| 1000 | 71 |
3.1%
|
|
| 1100 | 1 |
0%
|
|
| 1200 | 8 |
0.3%
|
|
| 1300 | 1 |
0%
|
|
| 1400 | 1 |
0%
|
|
| 1500 | 45 |
2%
|
|
| 1700 | 1 |
0%
|
|
| 1800 | 3 |
0.1%
|
|
| 2000 | 29 |
1.3%
|
|
| 2300 | 1 |
0%
|
|
| 2500 | 12 |
0.5%
|
|
| 3000 | 14 |
0.6%
|
|
| 3500 | 6 |
0.3%
|
|
| 4000 | 8 |
0.3%
|
|
| 5000 | 5 |
0.2%
|
|
| 6000 | 2 |
0.1%
|
|
| 35000 | 1 |
0%
|
|
| Sysmiss | 1315 |
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.
Description
Source of information
Interviewer