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    Home / Central Data Catalog / DATAFIRST / ZAF_2016_GHS_V02_M / variable [F3]
datafirst

General Household Survey 2016

South Africa, 2016
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Reference ID
ZAF_2016_GHS_v02_M
Producer(s)
Statistics South Africa
Collection(s)
DataFirst , University of Cape Town, South Africa
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Aug 14, 2017
Last modified
Jun 17, 2020
Page views
57622
Downloads
15138
  • Study Description
  • Data Description
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  • Data files
  • GHS 2016
    Household v1.1
    Stata11
  • GHS 2016 Person
    v1.1 Stata11

Approximately how much from pensions (Q811Pen)

Data file: GHS 2016 Household v1.1 Stata11

Overview

Valid: 21218
Invalid: 0
Type: Discrete
Decimal: 0
Start: 310
End: 315
Width: 6
Range: 0 - 999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 0 20098
94.7%
10 10 93
0.4%
12 12 1
0%
14 14 1
0%
17 17 4
0%
19 19 1
0%
20 20 1
0%
40 40 2
0%
50 50 1
0%
70 70 1
0%
80 80 3
0%
110 110 2
0%
150 150 1
0%
200 200 5
0%
243 243 1
0%
300 300 4
0%
330 330 4
0%
400 400 8
0%
500 500 17
0.1%
503 503 1
0%
600 600 3
0%
660 660 5
0%
700 700 8
0%
790 790 1
0%
800 800 9
0%
900 900 2
0%
950 950 1
0%
960 960 1
0%
980 980 1
0%
990 990 1
0%
1000 1000 30
0.1%
1005 1005 1
0%
1050 1050 1
0%
1100 1100 1
0%
1188 1188 1
0%
1200 1200 7
0%
1215 1215 1
0%
1250 1250 1
0%
1300 1300 3
0%
1320 1320 1
0%
1400 1400 6
0%
1410 1410 1
0%
1500 1500 24
0.1%
1510 1510 1
0%
1520 1520 2
0%
1600 1600 2
0%
1648 1648 1
0%
1700 1700 1
0%
1800 1800 8
0%
1900 1900 3
0%
2000 2000 42
0.2%
2100 2100 3
0%
2130 2130 1
0%
2200 2200 3
0%
2250 2250 1
0%
2300 2300 3
0%
2400 2400 3
0%
2500 2500 17
0.1%
2600 2600 1
0%
2700 2700 4
0%
2800 2800 3
0%
2900 2900 2
0%
3000 3000 39
0.2%
3200 3200 5
0%
3400 3400 2
0%
3500 3500 17
0.1%
3740 3740 1
0%
3800 3800 6
0%
3820 3820 1
0%
3960 3960 1
0%
4000 4000 37
0.2%
4099 4099 1
0%
4100 4100 1
0%
4200 4200 4
0%
4300 4300 1
0%
4330 4330 1
0%
4500 4500 11
0.1%
4600 4600 1
0%
4700 4700 1
0%
4800 4800 2
0%
4900 4900 1
0%
5000 5000 44
0.2%
5200 5200 1
0%
5300 5300 1
0%
5400 5400 6
0%
5600 5600 1
0%
5880 5880 1
0%
5900 5900 1
0%
5982 5982 1
0%
6000 6000 25
0.1%
6500 6500 12
0.1%
6800 6800 1
0%
6900 6900 1
0%
7000 7000 25
0.1%
7500 7500 4
0%
7600 7600 1
0%
7800 7800 1
0%
7888 7888 1
0%
8000 8000 43
0.2%
8100 8100 2
0%
8400 8400 1
0%
8500 8500 5
0%
8800 8800 1
0%
9000 9000 18
0.1%
9500 9500 3
0%
10000 10000 60
0.3%
10500 10500 1
0%
11000 11000 9
0%
11500 11500 1
0%
12000 12000 14
0.1%
12090 12090 1
0%
13000 13000 6
0%
14000 14000 5
0%
14650 14650 1
0%
15000 15000 42
0.2%
15700 15700 2
0%
16000 16000 9
0%
17000 17000 6
0%
18000 18000 8
0%
19000 19000 2
0%
20000 20000 31
0.1%
20008 20008 1
0%
20080 20080 1
0%
20500 20500 1
0%
20882 20882 1
0%
21000 21000 1
0%
22000 22000 2
0%
25000 25000 9
0%
27000 27000 1
0%
28000 28000 2
0%
30000 30000 10
0%
32000 32000 1
0%
40000 40000 3
0%
43800 43800 1
0%
45000 45000 3
0%
50000 50000 4
0%
888888 Not applicable 185
0.9%
999999 Unspecified 1
0%
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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