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World Values Survey 1990-1994, Wave 2

Argentina, Brazil, Switzerland...and 14 more, 1990 - 1994
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Reference ID
WLD_1990-1994_WVS-W2_v01_M
Producer(s)
R. Inglehart, C. Haerpfer, A. Moreno, C. Welzel, K. Kizilova, J. Diez-Medrano, M. Lagos, P. Norris, E. Ponarin, B. Puranen
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jun 14, 2022
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6371
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Region where the interview was conducted (V370)

Data file: WV2_Data_Spss_v20180912

Overview

Valid: 18672
Invalid: 5886
Minimum: 32001
Maximum: 792067
Type: Discrete
Decimal: 0
Start: 860
End: 865
Width: 6
Range: 32001 - 792067
Format: Numeric

Questions and instructions

Literal question
V 370 Region where the interview was conducted: See nation-specific codes in section below. The following is the
U.S. example:
Categories
Value Category Cases
32001 AR: Capital Federal 263
1.4%
32002 AR: Gran Buenos Aires 509
2.7%
32003 AR: Córdoba 80
0.4%
32005 AR: Mendoza 40
0.2%
32006 AR: Tucumán 25
0.1%
32014 AR: Rosario 85
0.5%
76001 BR: South 246
1.3%
76002 BR: Southeast 908
4.9%
76004 BR: Northwest 402
2.2%
76005 BR: North 88
0.5%
76006 BR: Center-West 138
0.7%
152004 CL: Zona Metropolitana 698
3.7%
152005 CL: First Region 65
0.3%
152006 CL: Second Region 68
0.4%
152007 CL: Third Region 20
0.1%
152008 CL: Fourth Region 46
0.2%
152009 CL: Fifth Region 189
1%
152010 CL: Sixth Region 38
0.2%
152011 CL: Seventh Region 62
0.3%
152012 CL: Eighth Region 199
1.1%
152013 CL: Ninth Region 41
0.2%
152014 CL: Tenth Region 73
0.4%
156001 CN: Beijing 101
0.5%
156005 CN: Liaoning Province 100
0.5%
156006 CN: Jilin 99
0.5%
156008 CN: Shanghai 100
0.5%
156009 CN: Jiangsu Province 100
0.5%
156012 CN: Fujian Province 99
0.5%
156013 CN: Jiangxi Province 69
0.4%
156016 CN: Hubei Province 100
0.5%
156021 CN: Guizhou Province 70
0.4%
156024 CN: Shaannxi Province 99
0.5%
156041 CN: Xinjiang 61
0.3%
203001 CZ: Prague 106
0.6%
203004 CZ: Støedoèeský kraj - Central Bohemia - 97
0.5%
203005 CZ: Západoèeský kraj - West Bohemia - 113
0.6%
203006 CZ: Jihoèeský kraj - South Bohemia - 62
0.3%
203007 CZ: Severoèeský kraj - North Bohemia - 103
0.6%
203008 CZ: Východoèeský kraj - East Bohemia - 80
0.4%
203009 CZ: Jihomoravský kraj - South Moravia - 185
1%
203010 CZ: Severomoravský kraj - North Moravia - 178
1%
356001 IN: Andhra Pradesh 200
1.1%
356003 IN: Bihar 275
1.5%
356005 IN: Delhi 75
0.4%
356006 IN: Gujarat 125
0.7%
356009 IN: Karnataka 150
0.8%
356010 IN: Kerala 100
0.5%
356011 IN: Madhya Pradesh 200
1.1%
356012 IN: Maharashtra 250
1.3%
356013 IN: Orrisa 100
0.5%
356015 IN: Rajasthan 150
0.8%
356016 IN: Tamil Nadu 200
1.1%
356017 IN: Uttar Pradesh 450
2.4%
356018 IN: West Bengal 200
1.1%
356020 IN: Chandigarh 25
0.1%
392001 JP: Hokkaido/Tohoku 133
0.7%
392002 JP: Kanto 320
1.7%
392003 JP: Chubu,Hokuriku 167
0.9%
392004 JP: Kinki 161
0.9%
392005 JP: Chugoku,Shikoku,Kyushu,Okinawa 230
1.2%
410001 KR: Seoul 357
1.9%
410015 KR: Kyowygi Do 1
0%
410016 KR: Kangwon Do 93
0.5%
410017 KR: Chungchong Do 174
0.9%
410018 KR: Chunra Do 268
1.4%
410019 KR: Kyowy Sang Do 357
1.9%
484001 MX: Norte 542
2.9%
484003 MX: Centro 219
1.2%
484004 MX: Sur 345
1.8%
484005 MX: Zona metropolitana 425
2.3%
566001 NG: Lagos 150
0.8%
566022 NG: Jos 50
0.3%
566023 NG: Kano 102
0.5%
566024 NG: Zaria 38
0.2%
566025 NG: Owerri 50
0.3%
566026 NG: Ilorin 41
0.2%
566027 NG: Minna 30
0.2%
566028 NG: Maduguri 51
0.3%
566029 NG: Ibadan 80
0.4%
566030 NG: Benin 50
0.3%
566031 NG: Enuou 59
0.3%
566032 NG: Makurdi 30
0.2%
566033 NG: Kaduna 69
0.4%
566034 NG: Abeo Kute 51
0.3%
566035 NG: Akure 40
0.2%
566036 NG: Port Harcourt 60
0.3%
566037 NG: Uyo 50
0.3%
616001 PL: Lubelskie 27
0.1%
616002 PL: Lodzkie 29
0.2%
616003 PL: Opolskie 23
0.1%
616004 PL: Warsaw 69
0.4%
616005 PL: Bialskopodlaskie 5
0%
616006 PL: Bialostockie 28
0.1%
616007 PL: Bielskie 23
0.1%
616008 PL: Bydgoskie 20
0.1%
616009 PL: Chelmskie 5
0%
616010 PL: Ciechanowskie 10
0.1%
616011 PL: Czestocjowski 19
0.1%
616012 PL: Elblaskie 11
0.1%
616013 PL: Gdanskie 38
0.2%
616014 PL: Gorzowskie 9
0%
616015 PL: Jeleniogorskie 15
0.1%
616016 PL: Kaliskie 10
0.1%
616017 PL: Katowickie 104
0.6%
616018 PL: Kielecki 33
0.2%
616019 PL: Koninskie 14
0.1%
616020 PL: Koszalinskie 8
0%
616021 PL: Krakowskie 28
0.1%
616022 PL: Krosnienskie 14
0.1%
616023 PL: Legnickie 14
0.1%
616024 PL: Leszczynskie 9
0%
616025 PL: Lomzynskie 5
0%
616026 PL: Nowosadeckie 15
0.1%
616027 PL: Olsztynskie 18
0.1%
616028 PL: Ostroleckie 7
0%
616029 PL: Pilskie 14
0.1%
616030 PL: Piotrkowskie 8
0%
616031 PL: Plockie 10
0.1%
616032 PL: Poznanskie 39
0.2%
616033 PL: Przemyskie 10
0.1%
616034 PL: Radomskie 12
0.1%
616035 PL: Rzeszowskie 19
0.1%
616036 PL: Ciedlockie 19
0.1%
616037 PL: Sieradzkie 10
0.1%
616038 PL: Skierniewickie 10
0.1%
616039 PL: Slupskie 10
0.1%
616040 PL: Suwalskie 13
0.1%
616041 PL: Szczecinskie 12
0.1%
616042 PL: Tamobrzeskie 10
0.1%
616043 PL: Tamowskie 23
0.1%
616044 PL: Torunskie 15
0.1%
616045 PL: Walbrzyskie 25
0.1%
616046 PL: Wioclawskie 10
0.1%
616047 PL: Wroclawskie 22
0.1%
616048 PL: Zamosjkie 21
0.1%
616049 PL: Zielenogorskie 10
0.1%
703001 SK: Bratislava County 41
0.2%
703010 SK: Central Slovakia 139
0.7%
703011 SK: Eastern Slovakia 128
0.7%
703012 SK: West Slovakia 158
0.8%
710011 ZA: Johannesburg 214
1.1%
710012 ZA: Reaf/Vaal 247
1.3%
710013 ZA: Pretoria 93
0.5%
710014 ZA: Rest of Transvaal 210
1.1%
710015 ZA: Durban 83
0.4%
710016 ZA: Rest of Natal 85
0.5%
710017 ZA: East London 16
0.1%
710018 ZA: Cape Town 107
0.6%
710019 ZA: Kimberly 6
0%
710030 ZA: Rest of Cape Providence 67
0.4%
710032 ZA: Bloemfontein 30
0.2%
710033 ZA: Rest of Orange Free State 43
0.2%
710038 ZA: Undocumented 35
0.2%
724001 ES: Andalucia 262
1.4%
724002 ES: Aragon 48
0.3%
724003 ES: Asturias 45
0.2%
724004 ES: Baleares 30
0.2%
724005 ES: Canarias 59
0.3%
724006 ES: Cantabria 21
0.1%
724007 ES: Castilla-Mancha 60
0.3%
724008 ES: Castilla Leon 101
0.5%
724009 ES: Cataluna 228
1.2%
724010 ES: C Valenciana 150
0.8%
724011 ES: Extremadura 40
0.2%
724012 ES: Galicia 112
0.6%
724013 ES: Madrid 197
1.1%
724014 ES: Murcia 41
0.2%
724015 ES: Navarra 20
0.1%
724016 ES: Pais Vasco 86
0.5%
724017 ES: Rioja 10
0.1%
792001 TR: Adana 37
0.2%
792002 TR: Ankara (center) 88
0.5%
792003 TR: Antalya (south) 66
0.4%
792004 TR: Bursa 47
0.3%
792008 TR: Istanbul 223
1.2%
792009 TR: Izmir (west) 74
0.4%
792010 TR: Konya 48
0.3%
792011 TR: Manisa (west) 85
0.5%
792059 TR: Afyonkarahisar 63
0.3%
792060 TR: Amasya 36
0.2%
792061 TR: Edirne 40
0.2%
792062 TR: Erzincan 40
0.2%
792063 TR: Kastamonu 40
0.2%
792064 TR: Malatya 64
0.3%
792066 TR: Samsun 55
0.3%
792067 TR: MuÄŸla 24
0.1%
-5 Unknown 3
-4 Not asked 4376
-3 Not applicable 1500
-2 No answer 7
-1 Don't know 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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