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    Home / Central Data Catalog / GHA_2012_GLSS_V01_M / variable [F50]
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Living Standards Survey VI 2012-2013

Ghana, 2012 - 2013
Reference ID
GHA_2012_GLSS_v01_M
Producer(s)
Ghana Statistical Service
Metadata
DDI/XML JSON
Created on
Dec 22, 2014
Last modified
Mar 29, 2019
Page views
264701
Downloads
11922
  • Study Description
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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

Ent OP Total sales of meals usual made in 7days in GH¢ (s10d6q10)

Data file: SEC10d6a

Overview

Valid: 178
Invalid: 0
Minimum: 0
Maximum: 650000
Type: Discrete
Decimal: 0
Start: 19
End: 24
Width: 6
Range: -
Format:

Questions and instructions

Literal question
Total sales of meals usually made in last 7 days ?
Categories
Value Category
0
400
800
1000
1200
1500
1600
2000
2200
2500
2700
2800
3000
3300
3500
3600
4000
4400
4500
4800
5000
5600
6000
6900
7000
7500
8000
8100
8400
9000
10000
10500
10600
11200
12000
13000
14000
15000
16000
16200
17500
18000
20000
20400
21000
24000
24500
25000
26000
26600
27000
27500
28000
30000
31200
32000
32400
33000
35000
36000
36610
42000
45000
47500
48000
54000
57000
60000
73500
78000
108000
112000
125000
140000
196000
200000
300000
650000
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.
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