Living Standards Survey VI 2012-2013
Ghana, 2012 - 2013
Created on
Dec 22, 2014
Last modified
Mar 29, 2019
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- Data files
- GHA_2013_E
- GHA_2013_H
- GHA_2013_I
- SEC0
- SEC1
- SEC2a
- SEC2b
- SEC2c
- SEC3a
- SEC3b
- SEC3c
- SEC3d
- SEC3e
- SEC4a
- SEC4b
- SEC4c
- SEC4d
- SEC4e
- SEC4f
- SEC4g
- SEC4h
- SEC4hs
- SEC5a
- SEC5b
- SEC6
- SEC6q10
- SEC7
- SEC8a1
- SEC8a2
- SEC8a3
- SEC8b
- SEC8c1
- SEC8c2
- SEC8d
- SEC8e
- SEC8f
- SEC8g
- SEC8h
- SEC9a
- SEC9b
- SEC9c
- SEC10a
- SEC10b
- SEC10c1
- SEC10c2
- SEC10d3
- SEC10d4
- SEC10d5a
- SEC10d5b
- SEC10d6a
- SEC10d6b
- SEC10d11
- SEC10d12
- SEC10d2 1
- SEC10d22
- SEC10e
- SEC10e1
- SEC10e2
- SEC10f1
- SEC10f2
- SEC10g1
- SEC10g2
- SEC10h
- SEC11a
- SEC11b
- SEC11c
- SEC11d
- SEC11ea
- SEC11eb1
- SEC11eb2
- SEC11ebb
- SEC11ec
- SEC12a
- SEC12b
- SEC12c
- SECa01
- SECa04
- SECb0
- SECb1
- SECb2
- WYX
- Comm_SEC0
- Comm_SEC1
- Comm_SEC2
- Comm_SEC3
- Comm_SEC4a
- Comm_SEC4b
- Comm_SEC4c
- Comm_SEC5a
- Comm_SEC5b
1st Ent -value of item at time of purchase (3rd) (s10g1q3c)
Data file: SEC10g1
Overview
Valid:
1216
Invalid:
168025
Minimum:
0
Maximum:
3000000
Type:
Discrete
Decimal:
0
Start:
39
End:
45
Width:
7
Range:
-
Format:
Questions and instructions
Literal question
What was the value of the item at the time of purchase? - 3rd ?
Categories
| Value | Category |
|---|---|
| 0 | |
| 20 | |
| 30 | |
| 50 | |
| 70 | |
| 100 | |
| 120 | |
| 130 | |
| 150 | |
| 200 | |
| 240 | |
| 250 | |
| 300 | |
| 350 | |
| 400 | |
| 450 | |
| 500 | |
| 600 | |
| 650 | |
| 700 | |
| 800 | |
| 850 | |
| 900 | |
| 950 | |
| 1000 | |
| 1100 | |
| 1200 | |
| 1300 | |
| 1400 | |
| 1500 | |
| 1600 | |
| 1700 | |
| 1800 | |
| 2000 | |
| 2050 | |
| 2100 | |
| 2200 | |
| 2250 | |
| 2400 | |
| 2500 | |
| 2600 | |
| 2800 | |
| 3000 | |
| 3500 | |
| 3600 | |
| 3700 | |
| 4000 | |
| 4500 | |
| 4800 | |
| 5000 | |
| 5200 | |
| 5500 | |
| 6000 | |
| 6200 | |
| 6500 | |
| 6600 | |
| 6800 | |
| 7000 | |
| 7500 | |
| 8000 | |
| 8500 | |
| 9000 | |
| 9500 | |
| 10000 | |
| 10150 | |
| 11000 | |
| 12000 | |
| 13000 | |
| 14000 | |
| 15000 | |
| 16000 | |
| 17500 | |
| 18000 | |
| 18500 | |
| 19000 | |
| 20000 | |
| 21000 | |
| 22000 | |
| 23000 | |
| 24000 | |
| 25000 | |
| 27000 | |
| 30000 | |
| 32000 | |
| 34000 | |
| 35000 | |
| 38000 | |
| 40000 | |
| 45000 | |
| 50000 | |
| 60000 | |
| 65000 | |
| 70000 | |
| 72000 | |
| 80000 | |
| 90000 | |
| 95000 | |
| 100000 | |
| 120000 | |
| 140000 | |
| 150000 | |
| 160000 | |
| 168000 | |
| 180000 | |
| 200000 | |
| 450000 | |
| 800000 | |
| 900000 | |
| 1200000 | |
| 1300000 | |
| 1500000 | |
| 1650000 | |
| 1800000 | |
| 3000000 | |
| Sysmiss |
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.