Afrint Village Level Data 2002 and 2008
Round I & II
Ghana, 2001 - 2008
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Reference ID
GHA-C-DAMAA-AFRINT-VILL-2002-2008-v1.0
Producer(s)
Lund University
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Created on
Sep 12, 2014
Last modified
Sep 12, 2014
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- Data files
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Afrint Village
Level Data 2002
and 2008
‘ to investigator: how many of the households in this village do you classify as poor according to the 1 usd per day criterion? ------------- ‘ (V069)
Data file: Afrint Village Level Data 2002 and 2008
Overview
Valid:
98
Invalid:
35
Type:
Discrete
Decimal:
0
Start:
253
End:
257
Width:
5
Range:
0 - 13000
Format:
Numeric
Questions and instructions
Literal question
‘ to investigator: how many of the households in this village do you classify as poor according to the 1 usd per day criterion? ------------- ‘
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 6 |
6.1%
|
|
| 0.61 | 1 |
1%
|
|
| 0.8 | 1 |
1%
|
|
| 3 | 1 |
1%
|
|
| 8 | 2 |
2%
|
|
| 10 | 5 |
5.1%
|
|
| 15 | 2 |
2%
|
|
| 20 | 2 |
2%
|
|
| 25 | 1 |
1%
|
|
| 27 | 1 |
1%
|
|
| 30 | 3 |
3.1%
|
|
| 40 | 4 |
4.1%
|
|
| 50 | 3 |
3.1%
|
|
| 59 | 1 |
1%
|
|
| 60 | 2 |
2%
|
|
| 70 | 2 |
2%
|
|
| 72 | 1 |
1%
|
|
| 80 | 4 |
4.1%
|
|
| 85 | 2 |
2%
|
|
| 90 | 1 |
1%
|
|
| 95 | 2 |
2%
|
|
| 98 | 1 |
1%
|
|
| 99 | 1 |
1%
|
|
| 100 | 5 |
5.1%
|
|
| 109 | 1 |
1%
|
|
| 120 | 2 |
2%
|
|
| 140 | 2 |
2%
|
|
| 150 | 1 |
1%
|
|
| 160 | 1 |
1%
|
|
| 174 | 1 |
1%
|
|
| 180 | 1 |
1%
|
|
| 200 | 3 |
3.1%
|
|
| 220 | 1 |
1%
|
|
| 250 | 1 |
1%
|
|
| 270 | 1 |
1%
|
|
| 294 | 1 |
1%
|
|
| 300 | 2 |
2%
|
|
| 320 | 1 |
1%
|
|
| 350 | 1 |
1%
|
|
| 400 | 1 |
1%
|
|
| 435 | 1 |
1%
|
|
| 480 | 1 |
1%
|
|
| 500 | 1 |
1%
|
|
| 600 | 2 |
2%
|
|
| 700 | 2 |
2%
|
|
| 850 | 1 |
1%
|
|
| 900 | 1 |
1%
|
|
| 1000 | 2 |
2%
|
|
| 1050 | 1 |
1%
|
|
| 1625 | 1 |
1%
|
|
| 1700 | 1 |
1%
|
|
| 1800 | 1 |
1%
|
|
| 1950 | 1 |
1%
|
|
| 1980 | 1 |
1%
|
|
| 1995 | 1 |
1%
|
|
| 2000 | 1 |
1%
|
|
| 3000 | 1 |
1%
|
|
| 5000 | 2 |
2%
|
|
| 13000 | 1 |
1%
|
|
| -9 | 5 | ||
| -7 | 30 |
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.
Imputation and derivation
Imputation
General Village characteristics