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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / ZAF_2016_GHS_V01_EN_M_V01_A_OCS / variable [F3]
agricultural-surveys

General Household Survey 2016

South Africa, 2016
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Reference ID
ZAF_2016_GHS_v01_EN_M_v01_A_OCS
Producer(s)
Statistics South Africa
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 13, 2020
Last modified
Oct 13, 2020
Page views
13480
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • GHS 2016
    Household v1.1
    Stata11
  • GHS 2016 Person
    v1.1 Stata11

Approximately how much from remittances (Q810Rem)

Data file: GHS 2016 Household v1.1 Stata11

Overview

Valid: 21218
Invalid: 0
Type: Discrete
Decimal: 0
Start: 305
End: 309
Width: 5
Range: 0 - 25000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 0 17508
82.5%
10 10 213
1%
11 11 4
0%
13 13 13
0.1%
14 14 3
0%
15 15 1
0%
17 17 137
0.6%
19 19 18
0.1%
27 27 1
0%
47 47 1
0%
50 50 2
0%
51 51 2
0%
57 57 5
0%
59 59 2
0%
61 61 1
0%
67 67 3
0%
77 77 1
0%
80 80 2
0%
81 81 1
0%
83 83 1
0%
87 87 1
0%
89 89 1
0%
91 91 2
0%
97 97 2
0%
99 99 1
0%
100 100 16
0.1%
110 110 5
0%
117 117 1
0%
150 150 7
0%
177 177 1
0%
200 200 87
0.4%
230 230 1
0%
250 250 17
0.1%
300 300 155
0.7%
320 320 1
0%
340 340 1
0%
350 350 12
0.1%
400 400 140
0.7%
450 450 7
0%
500 500 474
2.2%
505 505 1
0%
550 550 4
0%
600 600 137
0.6%
650 650 5
0%
700 700 102
0.5%
750 750 3
0%
800 800 170
0.8%
817 817 1
0%
830 830 1
0%
850 850 7
0%
900 900 32
0.2%
950 950 1
0%
1000 1000 562
2.6%
1001 1001 1
0%
1011 1011 1
0%
1050 1050 1
0%
1080 1080 1
0%
1100 1100 10
0%
1101 1101 1
0%
1110 1110 1
0%
1150 1150 1
0%
1200 1200 77
0.4%
1250 1250 1
0%
1280 1280 1
0%
1297 1297 1
0%
1300 1300 16
0.1%
1350 1350 1
0%
1400 1400 8
0%
1500 1500 293
1.4%
1510 1510 3
0%
1533 1533 1
0%
1600 1600 17
0.1%
1680 1680 1
0%
1700 1700 12
0.1%
1800 1800 21
0.1%
1880 1880 1
0%
1900 1900 3
0%
2000 2000 315
1.5%
2006 2006 1
0%
2008 2008 1
0%
2010 2010 1
0%
2100 2100 4
0%
2200 2200 4
0%
2300 2300 2
0%
2400 2400 6
0%
2500 2500 80
0.4%
2550 2550 1
0%
2600 2600 2
0%
2700 2700 3
0%
2800 2800 7
0%
2900 2900 3
0%
3000 3000 154
0.7%
3001 3001 1
0%
3006 3006 1
0%
3020 3020 1
0%
3060 3060 1
0%
3100 3100 1
0%
3200 3200 4
0%
3300 3300 2
0%
3400 3400 1
0%
3500 3500 28
0.1%
3600 3600 1
0%
3800 3800 2
0%
3900 3900 1
0%
4000 4000 53
0.2%
4100 4100 2
0%
4180 4180 1
0%
4200 4200 2
0%
4300 4300 1
0%
4500 4500 9
0%
4508 4508 1
0%
5000 5000 67
0.3%
5013 5013 1
0%
5100 5100 1
0%
5600 5600 1
0%
5717 5717 1
0%
6000 6000 24
0.1%
6500 6500 2
0%
6700 6700 1
0%
7000 7000 11
0.1%
7010 7010 1
0%
7500 7500 2
0%
7700 7700 1
0%
8000 8000 9
0%
8190 8190 1
0%
8500 8500 1
0%
8600 8600 1
0%
9000 9000 5
0%
9500 9500 1
0%
10000 10000 20
0.1%
11000 11000 2
0%
12000 12000 5
0%
12500 12500 1
0%
13000 13000 1
0%
15000 15000 6
0%
17000 17000 1
0%
20000 20000 2
0%
25000 25000 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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