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
Amount received-first enterprise (s10d4m1)
Data file: SEC10d4
Overview
Valid:
10260
Invalid:
6700
Minimum:
0
Maximum:
3000000
Type:
Discrete
Decimal:
0
Start:
14
End:
20
Width:
7
Range:
-
Format:
Questions and instructions
Literal question
First enterprise - amount received in two weeks ?
Categories
| Value | Category |
|---|---|
| 0 | |
| 120 | |
| 150 | |
| 200 | |
| 300 | |
| 400 | |
| 470 | |
| 500 | |
| 600 | |
| 700 | |
| 750 | |
| 800 | |
| 1000 | |
| 1050 | |
| 1100 | |
| 1200 | |
| 1250 | |
| 1300 | |
| 1400 | |
| 1500 | |
| 1600 | |
| 1800 | |
| 2000 | |
| 2100 | |
| 2200 | |
| 2400 | |
| 2500 | |
| 2800 | |
| 3000 | |
| 3200 | |
| 3400 | |
| 3500 | |
| 3600 | |
| 3700 | |
| 3750 | |
| 4000 | |
| 4200 | |
| 4500 | |
| 4800 | |
| 5000 | |
| 5200 | |
| 5500 | |
| 5600 | |
| 6000 | |
| 6250 | |
| 6320 | |
| 6500 | |
| 7000 | |
| 7150 | |
| 7200 | |
| 7500 | |
| 8000 | |
| 8400 | |
| 8500 | |
| 9000 | |
| 9500 | |
| 9800 | |
| 10000 | |
| 10500 | |
| 11000 | |
| 11700 | |
| 12000 | |
| 12500 | |
| 12600 | |
| 13000 | |
| 13500 | |
| 13600 | |
| 14000 | |
| 14400 | |
| 14700 | |
| 15000 | |
| 15400 | |
| 16000 | |
| 16500 | |
| 16800 | |
| 17000 | |
| 17500 | |
| 18000 | |
| 18500 | |
| 19000 | |
| 20000 | |
| 21000 | |
| 21500 | |
| 21600 | |
| 22000 | |
| 22090 | |
| 22500 | |
| 23000 | |
| 23800 | |
| 24000 | |
| 25000 | |
| 25200 | |
| 26000 | |
| 28000 | |
| 29000 | |
| 30000 | |
| 32000 | |
| 32500 | |
| 32800 | |
| 33000 | |
| 34000 | |
| 35000 | |
| 36000 | |
| 37500 | |
| 38000 | |
| 38500 | |
| 40000 | |
| 41700 | |
| 42000 | |
| 43000 | |
| 43200 | |
| 45000 | |
| 46000 | |
| 47000 | |
| 48000 | |
| 49000 | |
| 50000 | |
| 50400 | |
| 52000 | |
| 54000 | |
| 55000 | |
| 56000 | |
| 57000 | |
| 57350 | |
| 58600 | |
| 60000 | |
| 63000 | |
| 65000 | |
| 66300 | |
| 67000 | |
| 67500 | |
| 70000 | |
| 72000 | |
| 73000 | |
| 75000 | |
| 77000 | |
| 79000 | |
| 80000 | |
| 80300 | |
| 82000 | |
| 84000 | |
| 85000 | |
| 90000 | |
| 92000 | |
| 97500 | |
| 98000 | |
| 98500 | |
| 100000 | |
| 110500 | |
| 112000 | |
| 115500 | |
| 120000 | |
| 126000 | |
| 130000 | |
| 132000 | |
| 134000 | |
| 140000 | |
| 143200 | |
| 144000 | |
| 147000 | |
| 150000 | |
| 156200 | |
| 157000 | |
| 165000 | |
| 170000 | |
| 180000 | |
| 200000 | |
| 210000 | |
| 240000 | |
| 250000 | |
| 260000 | |
| 300000 | |
| 350000 | |
| 360000 | |
| 384000 | |
| 400000 | |
| 420000 | |
| 450000 | |
| 720000 | |
| 800000 | |
| 840000 | |
| 2000000 | |
| 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.