Living Standards Survey, 2008
Ghana, 2008
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Reference ID
GHA_2008_LSS_v01_EN_M_v01_A_OCS
Producer(s)
Institute of Statistical, Social and Economic Research
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Metadata
Created on
Sep 02, 2020
Last modified
Sep 02, 2020
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- Data files
- com-sec1dq7_13
- com-sec1eq14_20
- com-sec1fq21_25
- com-sec2aq1_8
- com-sec2bq1_6
- com-sec2bq7_12
- com-sec2cq1_10
- com-sec3aq2_4
- com-sec3bq1
- com-sec4q2_6
- com-sec4q4mj
- com-sec5q1_2
- com-sec5unit
- com-sec6aq1_10
- com-sec6aq11_16
- com-sec6bq1
- com-sec6bq7
- com-sec6cq1_14
- com-sec7aq1_7
- com-sec7bq1_3
- com-sec7bq4_5
- com-sec7cq1_5
- com-sec8aq1_8
- com-sec8bq1_8
- com-sec8cq1_2
- com-sec8cq3_5
- com-sec9bq5_10
- com-sec11aq10_17
- com-sec11bq1_3
- com-sec11dq1_8
- com-sec11eq1_9
- com-sec12a
- com-sec12aq1_6
- com-sec12aq7_14
- com-sec12aq15_20
- com-sec12aq21_26
- com-sec12aq27_32
- com-sec12bq1_2
- com-sec12cq1_3
- com-sec13q1_8
- com-sec14q1_8
- com-sec14q9_13
-
household
weight and
locality - sec1
- sec2a
- sec2b
- sec2c
- sec3a
- sec3b
- sec3c
- sec3d
- sec3e
- sec3f
- sec3g
- sec3h
- sec3i
- sec3j
- sec3k
- sec4a
- sec4b
- sec4c
- sec4d
- sec4e
- sec4f
- sec4g
- sec5a
- sec5b
- sec6a
- sec6b
- sec7a
- sec7b
- sec7c
- sec7d
- sec7e
- sec7f1
- sec7f2
- sec7g
- sec7h
- sec7i
- sec7j1
- sec7j2
- sec7k
- sec7l
- sec7m
- sec7n1
- sec7n2
- sec8a1
- sec8a2
- sec9a
- sec9b
- sec9c1
- sec9c2
- sec9d
- sec9e
- sec9f
- sec9g
- sec9h1
- sec9h2
- sec9i
- sec10a
- sec10b
- sec10c
- sec11a
- sec11b
- sec11c1
- sec11c2
- sec11d
- sec12a
- sec12b
- sec12c
- sec12d
- sec12e
- sec12f
- sec12g
- sec13a
- sec13b
- sec13c
- sec14a
- sec14b
feed expenses purchased (quintiles) (s7aq4)
Data file: sec7a
Overview
Valid:
9008
Invalid:
38596
Type:
Discrete
Decimal:
0
Start:
17
End:
17
Width:
1
Range:
0 - 5
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 0- | 7089 |
78.7%
|
| 1 | 5.4- | 202 |
2.2%
|
| 2 | 10- | 554 |
6.2%
|
| 3 | 20- | 640 |
7.1%
|
| 4 | 50- | 523 |
5.8%
|
| 5 | 78001- | 0 |
0%
|
| Sysmiss | 38596 |
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.