World Values Survey South Africa 1982-2013
South Africa, 1982 - 2013
Get Microdata
Reference ID
zaf-wvsa-wvssa-1982-2013-v1
Producer(s)
World Values Survey Association,
Metadata
Created on
Apr 07, 2014
Last modified
Aug 15, 2022
Page views
119645
Downloads
787
- Data files
-
WVS SA
W1-6_1982_2013_v2015_04_18
Region at age 14: country (X048D)
Data file: WVS SA W1-6_1982_2013_v2015_04_18
Overview
Valid:
16786
Invalid:
0
Type:
Discrete
Decimal:
0
loc_start_pos:
3092
loc_end_pos:
3100
Width:
9
Range:
-5 - 915000000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -5 | Missing; Unknown | 0 |
0%
|
| -4 | Not asked in survey | 16786 |
100%
|
| -3 | Not applicable | 0 |
0%
|
| -2 | No answer | 0 |
0%
|
| -1 | Don´t know | 0 |
0%
|
| 4000000 | Afghanistan | 0 |
0%
|
| 8000000 | Albania | 0 |
0%
|
| 12000000 | Algeria | 0 |
0%
|
| 20000000 | Andorra | 0 |
0%
|
| 24000000 | Angola | 0 |
0%
|
| 26200000 | Djibouti | 0 |
0%
|
| 26300000 | Faroe Islands | 0 |
0%
|
| 26400000 | Greenland | 0 |
0%
|
| 28000000 | Antigua and Barbuda | 0 |
0%
|
| 31000000 | Azerbaijan | 0 |
0%
|
| 32000000 | Argentina | 0 |
0%
|
| 36000000 | Australia | 0 |
0%
|
| 40000000 | Austria | 0 |
0%
|
| 44000000 | Bahamas | 0 |
0%
|
| 48000000 | Bahrain | 0 |
0%
|
| 50000000 | Bangladesh | 0 |
0%
|
| 51000000 | Armenia | 0 |
0%
|
| 52000000 | Barbados | 0 |
0%
|
| 56000000 | Belgium | 0 |
0%
|
| 64000000 | Bhutan | 0 |
0%
|
| 66000000 | Anguilla | 0 |
0%
|
| 68000000 | Bolivia | 0 |
0%
|
| 70000000 | Bosnia-Herzegovina | 0 |
0%
|
| 72000000 | Botswana | 0 |
0%
|
| 76000000 | Brazil | 0 |
0%
|
| 84000000 | Belize | 0 |
0%
|
| 90000000 | Solomon Islands | 0 |
0%
|
| 96000000 | Brunei | 0 |
0%
|
| 100000000 | Bulgaria | 0 |
0%
|
| 104000000 | Burma (Myanmar) | 0 |
0%
|
| 108000000 | Burundi | 0 |
0%
|
| 112000000 | Belarus | 0 |
0%
|
| 116000000 | Cambodia | 0 |
0%
|
| 120000000 | Cameroon | 0 |
0%
|
| 124000000 | Canada | 0 |
0%
|
| 132000000 | Cape Verde | 0 |
0%
|
| 140000000 | Central African Republic | 0 |
0%
|
| 144000000 | Sri Lanka | 0 |
0%
|
| 148000000 | Chad | 0 |
0%
|
| 152000000 | Chile | 0 |
0%
|
| 156000000 | China | 0 |
0%
|
| 158000000 | Taiwan | 0 |
0%
|
| 170000000 | Colombia | 0 |
0%
|
| 174000000 | Comoros | 0 |
0%
|
| 178000000 | Congo, Rep. of | 0 |
0%
|
| 180000000 | Congo, Dem. Rep. of | 0 |
0%
|
| 188000000 | Costa Rica | 0 |
0%
|
| 192000000 | Cuba | 0 |
0%
|
| 196000000 | Cyprus | 0 |
0%
|
| 200000000 | Czechoslovakia | 0 |
0%
|
| 204000000 | Benin | 0 |
0%
|
| 208000000 | Denmark | 0 |
0%
|
| 212000000 | Dominica | 0 |
0%
|
| 214000000 | Dominican Republic | 0 |
0%
|
| 218000000 | Ecuador | 0 |
0%
|
| 222000000 | El Salvador | 0 |
0%
|
| 226000000 | Equatorial Guinea | 0 |
0%
|
| 232000000 | Eritrea | 0 |
0%
|
| 242000000 | Fiji | 0 |
0%
|
| 246000000 | Finland | 0 |
0%
|
| 248000000 | Ã…lands Islands | 0 |
0%
|
| 250000000 | France | 0 |
0%
|
| 254000000 | French Guiana | 0 |
0%
|
| 262000000 | Djibouti | 0 |
0%
|
| 266000000 | Gabon | 0 |
0%
|
| 268000000 | Georgia | 0 |
0%
|
| 276000000 | Germany | 0 |
0%
|
| 288000000 | Ghana | 0 |
0%
|
| 292000000 | Gibraltar | 0 |
0%
|
| 296000000 | Kiribati | 0 |
0%
|
| 300000000 | Greece | 0 |
0%
|
| 308000000 | Grenada | 0 |
0%
|
| 312000000 | Guadeloupe | 0 |
0%
|
| 320000000 | Guatemala | 0 |
0%
|
| 324000000 | Guinea | 0 |
0%
|
| 328000000 | Guyana | 0 |
0%
|
| 332000000 | Haiti | 0 |
0%
|
| 340000000 | Honduras | 0 |
0%
|
| 344000000 | Hong Kong | 0 |
0%
|
| 348000000 | Hungary | 0 |
0%
|
| 352000000 | Iceland | 0 |
0%
|
| 356000000 | India | 0 |
0%
|
| 360000000 | Indonesia | 0 |
0%
|
| 364000000 | Iran | 0 |
0%
|
| 368000000 | Iraq | 0 |
0%
|
| 372000000 | Ireland | 0 |
0%
|
| 376000000 | Israel | 0 |
0%
|
| 380000000 | Italy | 0 |
0%
|
| 384000000 | Côte d'Ivoire | 0 |
0%
|
| 388000000 | Jamaica | 0 |
0%
|
| 392000000 | Japan | 0 |
0%
|
| 400000000 | Jordan | 0 |
0%
|
| 404000000 | Kenya | 0 |
0%
|
| 408000000 | Korea, North | 0 |
0%
|
| 417000000 | Kyrgyzstan | 0 |
0%
|
| 428000000 | Latvia | 0 |
0%
|
| 440000000 | Lithuania | 0 |
0%
|
| 480000000 | Mauritius | 0 |
0%
|
| 484000000 | Mexico | 0 |
0%
|
| 492000000 | Monaco | 0 |
0%
|
| 496000000 | Mongolia | 0 |
0%
|
| 504000000 | Morocco | 0 |
0%
|
| 508000000 | Mozambique | 0 |
0%
|
| 512000000 | Oman | 0 |
0%
|
| 516000000 | Namibia | 0 |
0%
|
| 520000000 | Nauru | 0 |
0%
|
| 524000000 | Nepal | 0 |
0%
|
| 528000000 | Netherlands | 0 |
0%
|
| 533000000 | Aruba | 0 |
0%
|
| 554000000 | New Zealand | 0 |
0%
|
| 562000000 | Niger | 0 |
0%
|
| 578000000 | Norway | 0 |
0%
|
| 584000000 | Marshall Islands | 0 |
0%
|
| 585000000 | Palau | 0 |
0%
|
| 586000000 | Pakistan | 0 |
0%
|
| 600000000 | Paraguay | 0 |
0%
|
| 608000000 | Philippines | 0 |
0%
|
| 616000000 | Poland | 0 |
0%
|
| 624000000 | Guinea-Bissau | 0 |
0%
|
| 626000000 | East Timor | 0 |
0%
|
| 634000000 | Qatar | 0 |
0%
|
| 642000000 | Romania | 0 |
0%
|
| 643000000 | Russia | 0 |
0%
|
| 659000000 | St. Kitts and Nevis | 0 |
0%
|
| 674000000 | San Marino | 0 |
0%
|
| 682000000 | Saudi Arabia | 0 |
0%
|
| 688000000 | Serbia | 0 |
0%
|
| 690000000 | Seychelles | 0 |
0%
|
| 704000000 | Vietnam | 0 |
0%
|
| 705000000 | Slovenia | 0 |
0%
|
| 706000000 | Somalia | 0 |
0%
|
| 736000000 | Sudan | 0 |
0%
|
| 752000000 | Sweden | 0 |
0%
|
| 760000000 | Syria | 0 |
0%
|
| 762000000 | Tajikistan | 0 |
0%
|
| 768000000 | Togo | 0 |
0%
|
| 776000000 | Tonga | 0 |
0%
|
| 784000000 | United Arab Emirates | 0 |
0%
|
| 792000000 | Turkey | 0 |
0%
|
| 795000000 | Turkmenistan | 0 |
0%
|
| 800000000 | Uganda | 0 |
0%
|
| 810000000 | ussr | 0 |
0%
|
| 818000000 | Egypt | 0 |
0%
|
| 826000000 | Great Britain | 0 |
0%
|
| 833000000 | Isle of Man | 0 |
0%
|
| 834000000 | Tanzania | 0 |
0%
|
| 840000000 | United States | 0 |
0%
|
| 858000000 | Uruguay | 0 |
0%
|
| 882000000 | Samoa | 0 |
0%
|
| 890000000 | Yugoslavia, Socialist Federal Republic of | 0 |
0%
|
| 891000000 | Serbia and Montenegro | 0 |
0%
|
| 912000000 | Montenegro | 0 |
0%
|
| 915000000 | Kosovo | 0 |
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.