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    Home / Data Portal / GCRO / ZAF-GCRO-QOLS-2015-2016-V1 / variable [F1]
GCRO

Quality of Life Survey 2015-2016, Round 4

South Africa, 2015 - 2016
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Reference ID
zaf-gcro-qols-2015-2016-v1
Producer(s)
Gauteng City-Region Observatory, University of Johannesburg, University of the Witwatersrand, Gauteng Provincial Government, South African Local Government Association (SALGA)
Collections
Gauteng City-Region Observatory
Metadata
Documentation in PDF DDI/XML JSON
Created on
Dec 06, 2016
Last modified
Sep 13, 2022
Page views
86762
Downloads
5455
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  • qol-iv-2014-2015-v1

2.4 - When moved into Gauteng (Q2_4)

Data file: qol-iv-2014-2015-v1

Overview

Valid: 10820
Invalid: 19182
Type: Discrete
Decimal: 0
loc_start_pos: 814
loc_end_pos: 817
Width: 4
Range: 1004 - 2015
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1004 No response due to skip scenario 0
0%
1005 Fieldwork error 0
0%
1921 1
0%
1928 1
0%
1930 2
0%
1931 1
0%
1932 1
0%
1934 1
0%
1935 2
0%
1936 3
0%
1937 1
0%
1938 3
0%
1939 2
0%
1940 6
0.1%
1941 2
0%
1942 2
0%
1943 2
0%
1944 2
0%
1945 6
0.1%
1946 2
0%
1947 4
0%
1948 6
0.1%
1949 4
0%
1950 24
0.2%
1951 5
0%
1952 20
0.2%
1953 10
0.1%
1954 11
0.1%
1955 20
0.2%
1956 10
0.1%
1957 5
0%
1958 15
0.1%
1959 12
0.1%
1960 66
0.6%
1961 21
0.2%
1962 22
0.2%
1963 24
0.2%
1964 21
0.2%
1965 41
0.4%
1966 20
0.2%
1967 18
0.2%
1968 30
0.3%
1969 36
0.3%
1970 91
0.8%
1971 26
0.2%
1972 48
0.4%
1973 31
0.3%
1974 30
0.3%
1975 57
0.5%
1976 48
0.4%
1977 39
0.4%
1978 66
0.6%
1979 66
0.6%
1980 198
1.8%
1981 79
0.7%
1982 108
1%
1983 68
0.6%
1984 82
0.8%
1985 123
1.1%
1986 115
1.1%
1987 94
0.9%
1988 128
1.2%
1989 164
1.5%
1990 322
3%
1991 124
1.1%
1992 182
1.7%
1993 164
1.5%
1994 233
2.2%
1995 259
2.4%
1996 286
2.6%
1997 205
1.9%
1998 329
3%
1999 428
4%
2000 601
5.6%
2001 323
3%
2002 276
2.6%
2003 287
2.7%
2004 291
2.7%
2005 416
3.8%
2006 350
3.2%
2007 345
3.2%
2008 422
3.9%
2009 427
3.9%
2010 501
4.6%
2011 334
3.1%
2012 376
3.5%
2013 389
3.6%
2014 396
3.7%
2015 408
3.8%
Sysmiss 19182
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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