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Mednarodna splošna družboslovna anketa (ISSP), 2003: Nacionalna identiteta II

Basic Study Information

ADP - IDNo: ISSP03
Main author(s):
  • International Social Survey Programme
Co-workers:
  • Gibson, Rachel
  • Haller, Max
  • Dimova, Lilia
  • Payman, Heather
  • Segovia, Carolina
  • Mateju, Petr
  • Goul Andersen, Jørgen
  • Blom, Raimo
  • Lemel, Yannick
  • Harkness, Janet
  • Park, Alison
  • Robert, Peter
  • Nic Ghiolla Phádraig, Máire;
  • Lewin-Epstein, Noah
  • Aramaki, Hiroshi
  • Tabuns, Aivars
  • Gendal, Philip J.
  • Kalgraff Skjak, Knut
  • Mangahas, Mahar
  • Cichomski, Bogdan
  • Villaverde-Cabral, Manuel
  • Khakhalina, Ludmila
  • Piscova, Magdalena
  • Hafner-Fink, Mitja
  • Struwig, Jare
  • Diez Nicolas, Juan
  • Sang-Wook, Kim
  • Edlund, Jonas
  • Joye, Dominique
  • Fu, Yang-Chin
  • Piani, Giorgina
  • Smith, Tom W.
  • Briceno-Leon, Roberto
Data file producer:
ZA - Zentralarchiv für Empirische Sozialforschung, Nemčija (Köln, Nemčija; 2003)

Funding agency:

Vsaka raziskovalna organizacija krije stroške svoje raziskave. Skupnega financiranja ni.

Project number:

no information

Series:
  • ISSP/Mednarodna splošna družboslovna anketa = International Social Survey Programme

    Raziskava je iz serije ISSP - Mednarodnega projekta sodelovanja splošnih družboslovnih anket, katerega namen je pridobivanje podatkov primernih za primerjalno analizo. Vsako leto se sodelujoče države odločijo za izvedbo kratkega vprašalnika na izbrano temo. (glej http://www.gesis.org/en/data_service/issp/index.htm in http://www.issp.org/homepage.htm ). Podatki iz mednarodne raziskave so na voljo pod oznako ADP - IDNo: ISSP in letnica.

Study Content

Keywords:

pripadnost družbeni skupini, teritorialna pripadnost, nacionalna identiteta, nacionalni ponos, mednarodni odnosi, stališče o zunanji trgovini, odnos do manjšin, odnos do priseljencev, država prednikov, odnos do rasnih in etničničnih skupin, reševanje mednarodnih problemov, stališča o pridobivanju državljanstva, državljanske pravice, poznavanje Evropske Unije, prednosti članstva v EU, govorni jezik v domačem okolju, referendum o vstopu v EU

Keywords ELSST:
IDENTITETA, MEDNARODNI ODNOSI, STALIŠČE, ETNIČNA SKUPINA, EVROPSKA UNIJA

Topic Classification CESSDA
DRUŽBA IN KULTURA - kulturna in nacionalna identiteta
DRUŽBA IN KULTURA - družbene navade in stališča
Topic Classification CERIF
Sociologija
Topic Classification ADP
NACIONALNA IDENTITETA
RASNE IN ETNIČNE SKUPINE
DRŽAVLJANSKE PRAVICE
KULTURA
MEDNARODNI ODNOSI
EU


Abstract:

Mednarodna družboslovna anketa (ISSP) je kontinuiran program mednarodnega sodelovanja. Skupina, osnovana leta 1983, razvija različne raziskovalne module, ki se dotikajo pomembnih družbenih vprašanj in katerih namen je dodati medkulturno perspektivo. Vprašanja zastavljena v tokratni anketi (drugi modul o nacionalni identiteti) so se dotikala različnih tem s področja državljanstva in nacionalne identitete, kot so vprašanja kako "blizu" si svoji državi, o nacionalnem ponosu in odnosu z drugimi državami. Sklop vprašanj je raziskoval onos respondetov do gospodarskega, političnega in kulturnega odpiranje Slovenije, vključujoč odnos do zunanje trgovine, nacionalnost televizijskih programov in filmov, in koristi članstva v Evropski uniji. Respondenti so ocenjevali tudi odnos svoje države do manjšinskih skupin in imigrantov. Demografska vprašanja pa vključujejo spol, starost, izobrazbo, zakonski stan, osebni dohodek anektiranca in dohodek gospodinjstva, zaposlenost, velikost in sestava gospodinjstva, poklic respondenta in veroizpoved, etično in rasno pripradnosti ter državljanstvo anketiranca.

Methodology


Collection date: 27. avgust 2003 - 24. december 2003 (Avstralija), november 2004 - december 2004 (Avstrija), marec 2003 - maj 2003 (Bolgarija), 29. januar 2004 - 31. marec 2004 (Kanada), 6. december 2003 - , 24. december 2003 (Čile), 26. september 2003 - 19. oktober 2003 (Češka), 10. oktober, 2003 - 31. januar, 2004 (Danska), 12. september 2003 - 28. november, 2003 (Finska), 1. september 2003 - 1. december, 2003 (Francija), 2. marec 2003 - 12. julij, 2003 (Nemčija), junij 2003 - september, 2003 (Velika Britanija), 28. februar 2003 - 12. marec, 2003 (Madžarska), 1. oktober 2003 - 15. november, 2003 (Irska), 14. december, 2003 - 29. februar, 2004 (Izrael), 29. november 2003 - 7. december, 2003 (Japonska), 10 december, 2003 - 29. december 2003 (Latvija), 11. september 2003 - 28. november, 2003 (Nova Zelandija), 8. oktober 2003 - 5. december, 2003 (Norveška), 10 marec 2003 - 25. marec, 2003 (Filipini), januar 2005 (Poljska), marec 2004 - september, 2004 (Portugalska), 1. julij, 2003 - 15. julij, 2003 (Rusija), februar 2003 - marec 2003 (Slovenija), avgust 2003 - september 2003 (Južnoafriška Republika), 1. julij 2003 - 30. avgust, 2003 (Južna Koreja), 20. april 2004 - 17. maj, 2004 (Slovaška), 23. junij, 2003 - 30. junij, 2003 (Španija), februar 2003 - april, 2003 (Švedska), 6. maj, 2002 - 25. avgust, 2003 (Švica), oktober 2003 - november, 2003 (Tajvan), 12. julij 2004 - 16. avgust, 2004 (Urugvaj), 22. marec 2004 - 8. april 2004 (Venezuela), avgust 2004 - december, 2004 (Združene države Amerike)
Date of production: 2003
Country: Avstrija (AU), Avstralija (AT), Bolgarija (BG), Čile (CL), Češka (CZ), Danska (DK), Finska (FI), Francija (FR), Nemčija (DE), Velika Britanija (GB), Madžarska (HU), Irska (IE), Izrael (IL), Japonska (JP), Južnoafriška Republika (ZA), Južna Koreja (KR), Kanada (CA), Latvija (LV), Nova Zelandija (NZ), Norveška (NO), Filipini (PH), Poljska (PL), Portugalska (PT), Rusija (RU), Slovenija (SI), Slovaška (SK), Španija (ES), Švedska (SE), Švica (CH), Tajvan (TW), Urugvaj (UY), Venezuela (YV), Združene države Amerike (US),
Geographic coverage:

Teritorij naštetih držav

Unit of analysis:

posameznik

Universe:

Osebe, stare 19 let in več (TW), osebe stare 18 let in več (AU, AT, BG, CA, CH, CZ, FR, DE, GB, HU, IE, IL, LV, NZ, NO, PH, PL, PT, SI, KR, ES, CH, UY, US), osebe, stare 17 in več (SK, SE, VE) in osebe, stare 16 in več (JP, RU, ZA) ter osebe, stare 15 in več (FI).

Excluded: no information
Data collected by:

AT - Institute of Sociology, University of Graz; A U - ACSPRI Centre for Social Research (ACSR); BG - Agency for Social Analyses; CL - Centro de Estudios Publicos; CZ - Institute of Sociology, Acedemy of Sciences of the Czech Republic; DK - Department of Economics, Politics and Public Administration; FI - Department of Sociology and Social Psychology; Statistics Finland; FSD Finnish Social Science Data Archive, University of Tampere FR - FRANCE-ISSP Association (Centre de Rechere en Économie et Statistique) Laboratorie de Sociologie Quanitative; CIDSP (Centre d'Infomatisation des Données Socio-Politiques) Institut d'Études Politiques de Grenoble, Domaine Universitaire; OFCE (Observatorie Français des Conjonctures Économiques); LASMAS (Laboratoire d'Analyse Secondaire et de Méthodes Appliquées en Sociologie); DE - ZUMA (Zentrum für Umfragen, Methoden, und Analysen); GB - National Centre for Social Research; HU - TÁRKI RT Social Research Institute; IE - SSRC (Social Science Research Centre) University College Dublin; IL - Dept. of Sociology and Anthropology Tel Aviv University; JP - NHK, Broadcasting Culture Research Institute Public Opinion Research Division; ZA - Human Science Research Council; KR - Survey Research Center, Sungyunkwan University; CA - Carleton University Survey Centre; LV - Institute of Philosophy and Sociology; NZ - Department of Marketing, Massey University; NO - NSD (Norwegian Social Science Data Services); PH - Mahar Mangahas; PL - ISS (Institute for Social Studies) University of Warsaw; PT - Instituo de Ciências Sociais, University of Lisbon; RU - Levada Analytic Center; SI - Public Opinion and Mass Communication Research Centre (CJMMK), Ljubljana; SK - Institute for Sociology Slovak Academy of Science; ES - ASEP (Análisis Sociológicos Económicos y Políticos); SE - Dept. of Sociology, University of Umeå; CH - SIDOS (Swiss Information and Data Archive for the Social Sciences); TW - Institute of Sociology, Academica Sinica; UY - Departamento de Economia, Facultad de Ciencias Sociales, Universidad de la Republica; VE - Laboratorio de Ciencias Sociales, LACSO US - National Opinion Research Center (NORC);

Sampling procedure:

slučajno vzorčenje v skupinicah (GB), večstopenjsko prostorsko verjetnostno vzorčenje (PL, KR, US) večstopenjsko vzorčenje v skupinicah (BG, CH), večstopenjsko verjetnostno vzorčenje (PH), večstopenjsko slučajno vzorčenje (DE), večstopenjsko stratificirano slučajno vzorčenje v skupinicah (AU), večstopenjsko stratificirano verjetnostno vzorčenje (CZ, HU, SK, TW, UY), večstopenjsko stratificirano slučajno kvotno vzorčenje (VE) večstopenjsko stratificirano slučajno vzorčenje (JP, LV, RU, SI), večstopenjsko slučajno vzorčenje v skupinicah (IE ), večstopenjsko stratificirano vzorčenje z uporabo metode Kisheve tabele (IL), večstopenjsko stratificirano slučajno vzorčenej z uporabo metode Kisheve tabele (ZA, CH), slučajen stratificiran vzorec (AT, CA), enostavno slučajno vzorčenje (DK, NO), stratificirano slučajno verjetnostno vzorčenje (PT), sistematično slučajno vzorčenje (FI, NZ), verjetnostno vzorčenje (FR), ni definirano (ES, SE).

Mode of data collection:

vprašalnik za samo-anketiranje izpolnjen po osebnem intervjuju z anketarjem (GB, PL), samo-anketiranje ob prisotnosti anketarja (DE, RU, US) samo-anketiranje, anketa poslana po pošti (AU, CA, DK, FI, FR, NZ, NO, SE), osebni intervju (AT, BG, CL, CZ, HU, IE, IL, JP, LV, PH, PT, SK, SI, ZA, KR, ES, TW, UY, VE), računalniško podprto osebno anketiranje (CH), računalniško podprto samo-anketiranje (US), in telefonska anketa (DK).

Weighting:

Da (AT, CA, CZ, FI, FR, GB, HU, IE, PH, PL, PT, RU, SK, ZA, ES, CH, UY, US, VE); Ne (AU, BG, CH, DE, IL, JP, LV, NZ, NO, SI, KR, SE, TW), Ni podatka. (DK). Natančni postopki tvorjenja uteži so opisani v kodirni knjigi.

Access restrictions

Avtorske pravice pridržane. Arhiv izroča podatke uporabnikom samo za namen, ki ga posebej opredelijo, ob zagotovitvi spoštovanja profesionalnih etičnih kodeksov. Uporabnik se posebej zaveže, da bo skrbel za tajnost podatkov in opravljal analize brez poskusov identifikacije posameznika.

Pri objavah, ki bi sledile na podlagi podatkov, je potrebno polno citirati avtorja in Arhiv.

Vsak uporabnik je dolžan opozoriti na morebitne pomanjkljivosti gradiva in poslati Arhivu 2 kopiji nastalih besedil.

Uporabnik naj pred uporabo pozorno prebere spremljajočo dokumentacijo in se v primeru nejasnosti obrne na avtorje raziskave ali Arhiv.

Basic Data File Description

Title of Data file: ISSP03 - International Social Survey Programme: National Identity II [datoteka podatkov], 2003

Format: *.por - prenosljiva SPSS datoteka

  • number of variables: 240
  • number of units: 44170

Version: december 2005

Variable list

v1 ZA Study Number

Value 13 Frequency
2003 2003: National Identity II 44170
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
44170 0 2003 2003

Valid range from 2003 to 2003

v2 Respondent Number

Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
44170 0 20030000001 20034158246 20030243656.58 770438.745

Valid range from 20030000001 to 20034158246

v3 Country

Value 31 Frequency
1 Australia (AU) 2183
2 Germany-West (DE-W) 850
3 Germany-East (DE-E) 437
4 Great Britain (GB) 873
6 United States (US) 1216
7 Austria (AT) 1006
8 Hungary (HU) 1021
10 Ireland (IE) 1065
12 Norway (NO) 1469
13 Sweden (SE) 1186
14 Czech Republic (CZ) 1276
15 Slovenia (SI) 1093
16 Poland (PL) 1277
17 Bulgaria (BG) 1069
18 Russia (RU) 2383
19 New Zealand (NZ) 1036
20 Canada (CA) 1211
21 Philippines (PH) 1200
22 Israel Jews (IL-J) 1066
23 Israel Arabs (IL-A) 152
24 Japan (JP) 1102
25 Spain (ES) 1212
26 Latvia (LV) 1000
27 Slovak Republic (SK) 1152
28 France (FR) 1669
30 Portugal (PT) 1602
31 Chile (CL) 1505
32 Denmark (DK) 1322
33 Switzerland (CH) 1037
36 Venezuela (VE) 1199
37 Finland (FI) 1379
40 South Africa (ZA) 2483
41 Taiwan (TW) 2016
42 South Korea (KR) 1315
43 Uruguay (UY) 1108
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
44170 0 1 43

Valid range from 1 to 43

More »

v1 ZA Study Number

Value 1240 Frequency
2003 2003: National Identity II 44170
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
44170 0 2003 2003

Valid range from 2003 to 2003

v2 Respondent Number

Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
44170 0 20030000001 20034158246 20030243656.58 770438.745

Valid range from 20030000001 to 20034158246

v3 Country

Value 3238 Frequency
1 Australia (AU) 2183
2 Germany-West (DE-W) 850
3 Germany-East (DE-E) 437
4 Great Britain (GB) 873
6 United States (US) 1216
7 Austria (AT) 1006
8 Hungary (HU) 1021
10 Ireland (IE) 1065
12 Norway (NO) 1469
13 Sweden (SE) 1186
14 Czech Republic (CZ) 1276
15 Slovenia (SI) 1093
16 Poland (PL) 1277
17 Bulgaria (BG) 1069
18 Russia (RU) 2383
19 New Zealand (NZ) 1036
20 Canada (CA) 1211
21 Philippines (PH) 1200
22 Israel Jews (IL-J) 1066
23 Israel Arabs (IL-A) 152
24 Japan (JP) 1102
25 Spain (ES) 1212
26 Latvia (LV) 1000
27 Slovak Republic (SK) 1152
28 France (FR) 1669
30 Portugal (PT) 1602
31 Chile (CL) 1505
32 Denmark (DK) 1322
33 Switzerland (CH) 1037
36 Venezuela (VE) 1199
37 Finland (FI) 1379
40 South Africa (ZA) 2483
41 Taiwan (TW) 2016
42 South Korea (KR) 1315
43 Uruguay (UY) 1108
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
44170 0 1 43

Valid range from 1 to 43

v4 Most important group R identifies with

Q. 1. We are all part of different groups. Some are more important to us than others when we think of ourselves. In general, which in the following list is most important to you in describing who you are?

Value 4237 Frequency
1 Your occupation 7324
2 Your ethnic background 2331
3 Your gender 4253
4 Your age group 2764
5 Your religion 2123
6 Pref political party 438
7 Your nationality 3573
8 Your family or marital status 12924
9 Your social class 1277
10 The part of country you live in 2030
11 [ES] None 74
0 Not available 0
98 Cant choose 939
99 Na, refused 4120
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
39111 5059 1 11

Valid range from 1 to 11

v5 Second most important group R identifies with Q. 1. We are all part of different groups. Some are more important to us than others when we think of ourselves. In general, which in the following list is most important to you in describing who you are?

Second most important?

Value 5236 Frequency
1 Your occupation 6850
2 Your ethnic background 2477
3 Your gender 4005
4 Your age group 4278
5 Your religion 2930
6 Pref political party 925
7 Your nationality 4338
8 Your family or marital status 6308
9 Your social class 2717
10 The part of country you live in 3753
11 [ES] None 90
0 Not available 0
98 Cant choose 1043
99 Na, refused, no second response 4456
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
38671 5499 1 11

Valid range from 1 to 11

v6 Third most important group R identifies with Q. 1. We are all part of different groups. Some are more important to us than others when we think of ourselves. In general, which in the following list is most important to you in describing who you are?

Third most important?

Value 6235 Frequency
1 Your occupation 4967
2 Your ethnic background 2411
3 Your gender 3551
4 Your age group 4081
5 Your religion 2513
6 Pref political party 1512
7 Your nationality 4206
8 Your family or marital status 4385
9 Your social class 3611
10 The part of country you live in 6480
11 [ES] None 108
0 Not available 0
98 Cant choose 1388
99 Na, refused, no third response 4957
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
37825 6345 1 11

Valid range from 1 to 11

v7 How close do you feel to: Your town - city Q2.- How close do you feel to1...

Your town or city

Value 7234 Frequency
1 Very close 16840
2 Close 18282
3 Not very close 6594
4 Not close at all 1482
0 Not available 0
8 Cant choose 530
9 NA 442
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
43198 972 1 4

Valid range from 1 to 4

v8 How close do you feel to: Your [county] Q2.- How close do you feel to1...

Your [county]2

Value 8233 Frequency
1 Very close 13644
2 Close 19063
3 Not very close 8190
4 Not close at all 1976
0 Not available 0
8 Cant choose 734
9 NA 563
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
42873 1297 1 4

Valid range from 1 to 4

v9 How close do you feel to:[Country] Q2.- How close do you feel to1...

[COUNTRY]

Value 9232 Frequency
1 Very close 20782
2 Close 17441
3 Not very close 4089
4 Not close at all 973
0 Not available 0
8 Cant choose 471
9 NA 414
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
43285 885 1 4

Valid range from 1 to 4

v10 How close do you feel to: continent Q2.- How close do you feel to1...

[Continent; e.g. Europe]2

Value 10231 Frequency
1 Very close 7789
2 Close 14068
3 Not very close 12150
4 Not close at all 7361
0 Not available 0
8 Cant choose 2046
9 NA 756
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
41368 2802 1 4

Valid range from 1 to 4

v11 Important: to have been born in[Country] Q3.- Some people say that the following things are important for being truly [NATIONALITY]1. Others say they are not important. How important do you think each of the following is... (Please, tick one box on each line)

to have been born in [COUNTRY]

Value 11230 Frequency
1 Very important 19084
2 Fairly important 13447
3 Not very important 7254
4 Not important at all 3289
0 Not available 0
8 Cant choose 539
9 NA 557
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
43074 1096 1 4

Valid range from 1 to 4

v12 Important: To have[Country Nationality] citizenship Q3.- Some people say that the following things are important for being truly [NATIONALITY]1. Others say they are not important. How important do you think each of the following is... (Please, tick one box on each line)

to have [COUNTRY NATIONALITY] citizenship

Value 12229 Frequency
1 Very important 23365
2 Fairly important 14272
3 Not very important 4124
4 Not important at all 1341
0 Not available 0
8 Cant choose 420
9 NA 648
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
43102 1068 1 4

Valid range from 1 to 4

v13 Important: To have lived in[Country] for most of one’s life Q3.- Some people say that the following things are important for being truly [NATIONALITY]1. Others say they are not important. How important do you think each of the following is... (Please, tick one box on each line)

to have lived in [COUNTRY] for most of one’s life

Value 13228 Frequency
1 Very important 18073
2 Fairly important 15459
3 Not very important 7406
4 Not important at all 1998
0 Not available 0
8 Cant choose 518
9 NA 716
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
42936 1234 1 4

Valid range from 1 to 4

v14 Important: To be able to speak [Country language] Q3.- Some people say that the following things are important for being truly [NATIONALITY]1. Others say they are not important. How important do you think each of the following is... (Please, tick one box on each line)

to be able to speak [COUNTRY LANGUAGE] 2

Value 14227 Frequency
1 Very important 25337
2 Fairly important 12853
3 Not very important 3641
4 Not important at all 1383
0 Not available 0
8 Cant choose 286
9 NA 670
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
43214 956 1 4

Valid range from 1 to 4

v15 Important: To be a [religion] Q3.- Some people say that the following things are important for being truly [NATIONALITY]1. Others say they are not important. How important do you think each of the following is... (Please, tick one box on each line)

to be a [religion] 2

Value 15226 Frequency
1 Very important 10721
2 Fairly important 8887
3 Not very important 10047
4 Not important at all 12614
0 Not available 0
8 Cant choose 1131
9 NA 770
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
42269 1901 1 4

Valid range from 1 to 4

v16 Important: To respect[Country Nationality] political institutions and laws Q3.- Some people say that the following things are important for being truly [NATIONALITY]1. Others say they are not important. How important do you think each of the following is... (Please, tick one box on each line)

to respect [COUNTRY NATIONALITY] political institutions and laws

Value 16225 Frequency
1 Very important 21201
2 Fairly important 16287
3 Not very important 3807
4 Not important at all 1477
0 Not available 0
8 Cant choose 764
9 NA 634
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
42772 1398 1 4

Valid range from 1 to 4

v17 Important: To feel[Country Nationality] Q3.- Some people say that the following things are important for being truly [NATIONALITY]1. Others say they are not important. How important do you think each of the following is... (Please, tick one box on each line)

to feel [COUNTRY NATIONALITY]

Value 17224 Frequency
1 Very important 24713
2 Fairly important 13790
3 Not very important 3225
4 Not important at all 1177
0 Not available 0
8 Cant choose 608
9 NA 657
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
42905 1265 1 4

Valid range from 1 to 4

v18 Important: To have[Country Nationality] ancestry Q3.- Some people say that the following things are important for being truly [NATIONALITY]1. Others say they are not important. How important do you think each of the following is... (Please, tick one box on each line)

to have [COUNTRY NATIONALITY] ancestry 2

Value 18223 Frequency
1 Very important 14046
2 Fairly important 12115
3 Not very important 9217
4 Not important at all 5342
0 Not available 2069
8 Cant choose 694
9 NA 687
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
40720 3450 1 4

Valid range from 1 to 4

v19 I would rather be a citizen of[Country] than of any other country in the world Q. 4. How much do you agree or disagree with the following statements? (Please, tick one box on each line)

I would rather be a citizen of [COUNTRY] than of any other country in the world

Value 19222 Frequency
1 Agree strongly 18151
2 Agree 14639
3 Neither agree nor disagree 6405
4 Disagree 2676
5 Disagree strongly 1018
0 Not available 0
8 Cant choose 796
9 NA 485
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
42889 1281 1 5

Valid range from 1 to 5

v20 There are some things about[Country] today that make me feel ashamed of[Country] How much do you agree or disagree with the following statements? (Please, tick one box on each line)

There are some things about [COUNTRY] today that make me feel ashamed of [COUNTRY]

Value 20221 Frequency
1 Agree strongly 7638
2 Agree 17523
3 Neither agree nor disagree 7484
4 Disagree 7077
5 Disagree strongly 2769
0 Not available 0
8 Cant choose 1104
9 NA 575
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
42491 1679 1 5

Valid range from 1 to 5

v21 The world would be a better place if people from other countries were more like the[Country Nationality] How much do you agree or disagree with the following statements? (Please, tick one box on each line)

The world would be a better place if people from other countries were more like the [COUNTRY NATIONALITY]

Value 21220 Frequency
1 Agree strongly 4064
2 Agree 10464
3 Neither agree nor disagree 12786
4 Disagree 10257
5 Disagree strongly 3706
0 Not available 0
8 Cant choose 2327
9 NA 566
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
41277 2893 1 5

Valid range from 1 to 5

v22 Generally speaking,[Country] is a better country than most other countries How much do you agree or disagree with the following statements? (Please, tick one box on each line)

Generally speaking, [COUNTRY] is a better country than most other countries

Value 22219 Frequency
1 Agree strongly 7405
2 Agree 15423
3 Neither agree nor disagree 10127
4 Disagree 7056
5 Disagree strongly 2007
0 Not available 0
8 Cant choose 1593
9 NA 559
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
42018 2152 1 5

Valid range from 1 to 5

v23 People should support their country even if the country is in the wrong. How much do you agree or disagree with the following statements? (Please, tick one box on each line)

People should support their country even if the country is in the wrong

Value 23218 Frequency
1 Agree strongly 4653
2 Agree 11110
3 Neither agree nor disagree 7740
4 Disagree 12667
5 Disagree strongly 4998
0 Not available 1069
8 Cant choose 1329
9 NA 604
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
41168 3002 1 5

Valid range from 1 to 5

v24 When my country does well in international sports, it makes me proud to be[Country Nationality] How much do you agree or disagree with the following statements? (Please, tick one box on each line)

When my country does well in international sports, it makes me proud to be [COUNTRY NATIONALITY]

Value 24217 Frequency
1 Agree strongly 17415
2 Agree 17191
3 Neither agree nor disagree 5046
4 Disagree 1435
5 Disagree strongly 793
0 Not available 1069
8 Cant choose 701
9 NA 520
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
41880 2290 1 5

Valid range from 1 to 5

v25 I am often less proud of[Country] than I would like to be How much do you agree or disagree with the following statements? (Please, tick one box on each line)

I am often less proud of [COUNTRY] than I would like to be.

Value 25216 Frequency
1 Agree strongly 5977
2 Agree 14870
3 Neither agree nor disagree 9809
4 Disagree 8886
5 Disagree strongly 2478
0 Not available 0
8 Cant choose 1529
9 NA 621
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
42020 2150 1 5

Valid range from 1 to 5

v26 How proud: The way democracy works How proud are you of [COUNTRY] in each of the following? (Please, tick one box on each line).

the way democracy works

Value 26215 Frequency
1 Very proud 5328
2 Somewhat proud 16510
3 Not very proud 13251
4 Not proud at all 5766
0 Not available 0
8 Cant choose 2721
9 NA 594
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
40855 3315 1 4

Valid range from 1 to 4

v27 How proud: Its political influence in the world How proud are you of [COUNTRY] in each of the following? (Please, tick one box on each line).

its political influence in the world

Value 27214 Frequency
1 Very proud 3517
2 Somewhat proud 15048
3 Not very proud 14756
4 Not proud at all 6120
0 Not available 0
8 Cant choose 3998
9 NA 731
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
39441 4729 1 4

Valid range from 1 to 4

v28 How proud: [Country’s] economic achievements How proud are you of [COUNTRY] in each of the following? (Please, tick one box on each line).

[COUNTRY’s] economic achievements

Value 28213 Frequency
1 Very proud 5184
2 Somewhat proud 16149
3 Not very proud 12698
4 Not proud at all 6674
0 Not available 0
8 Cant choose 2782
9 NA 683
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
40705 3465 1 4

Valid range from 1 to 4

v29 How proud: Its social security system How proud are you of [COUNTRY] in each of the following? (Please, tick one box on each line).

Its social security system

Value 29212 Frequency
1 Very proud 4782
2 Somewhat proud 13833
3 Not very proud 13359
4 Not proud at all 9379
0 Not available 0
8 Cant choose 2164
9 NA 653
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
41353 2817 1 4

Valid range from 1 to 4

v30 How proud: Its scientific and technological achievements How proud are you of [COUNTRY] in each of the following? (Please, tick one box on each line).

its scientific and technological achievements

Value 30211 Frequency
1 Very proud 10172
2 Somewhat proud 20227
3 Not very proud 7017
4 Not proud at all 2069
0 Not available 0
8 Cant choose 3934
9 NA 751
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
39485 4685 1 4

Valid range from 1 to 4

v31 How proud: Its achievements in sports How proud are you of [COUNTRY] in each of the following? (Please, tick one box on each line).

its achievements in sports

Value 31210 Frequency
1 Very proud 13974
2 Somewhat proud 19457
3 Not very proud 6012
4 Not proud at all 1839
0 Not available 0
8 Cant choose 2229
9 NA 659
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
41282 2888 1 4

Valid range from 1 to 4

v32 How proud: Its achievements in the arts and literature How proud are you of [COUNTRY] in each of the following? (Please, tick one box on each line).

its achievements in the arts and literature

Value 32209 Frequency
1 Very proud 11009
2 Somewhat proud 20117
3 Not very proud 6357
4 Not proud at all 1551
0 Not available 0
8 Cant choose 4385
9 NA 751
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
39034 5136 1 4

Valid range from 1 to 4

v33 How proud: [Country’S] armed forces How proud are you of [COUNTRY] in each of the following? (Please, tick one box on each line).

[COUNTRY’S] armed forces

Value 33208 Frequency
1 Very proud 7936
2 Somewhat proud 13895
3 Not very proud 10864
4 Not proud at all 6234
0 Not available 0
8 Cant choose 4522
9 NA 719
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
38929 5241 1 4

Valid range from 1 to 4

v34 How proud: Its history How proud are you of [COUNTRY] in each of the following? (Please, tick one box on each line).

its history

Value 34207 Frequency
1 Very proud 15044
2 Somewhat proud 17843
3 Not very proud 6030
4 Not proud at all 1836
0 Not available 0
8 Cant choose 2713
9 NA 704
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
40753 3417 1 4

Valid range from 1 to 4

v35 How proud: Its fair and equal treatment of all groups in society How proud are you of [COUNTRY] in each of the following? (Please, tick one box on each line).

Its fair and equal treatment of all groups in society

Value 35206 Frequency
1 Very proud 5006
2 Somewhat proud 13668
3 Not very proud 13359
4 Not proud at all 8330
0 Not available 0
8 Cant choose 3143
9 NA 664
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
40363 3807 1 4

Valid range from 1 to 4

v36 [Country] should limit the import of foreign products in order to protect its national economy. How much do you agree or disagree with the following statements? (Please, tick one box on each line)

[COUNTRY] should limit the import of foreign products in order to protect its national economy.

Value 36205 Frequency
1 Agree strongly 8886
2 Agree 14846
3 Neither agree nor disagree 7994
4 Disagree 7619
5 Disagree strongly 2325
0 Not available 0
8 Cant choose 1969
9 NA 531
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
41670 2500 1 5

Valid range from 1 to 5

v37 For certain problems, like environment pollution, international bodies should have the right to enforce solutions How much do you agree or disagree with the following statements? (Please, tick one box on each line)

For certain problems, like environment pollution, international bodies should have the right to enforce solutions

Value 37204 Frequency
1 Agree strongly 9553
2 Agree 18264
3 Neither agree nor disagree 6236
4 Disagree 3623
5 Disagree strongly 1016
0 Not available 2483
8 Cant choose 2406
9 NA 589
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
38692 5478 1 5

Valid range from 1 to 5

v38 [Country] should follow its own interests, even if this leads to conflicts with other nations How much do you agree or disagree with the following statements? (Please, tick one box on each line)

[COUNTRY] should follow its own interests, even if this leads to conflicts with other nations.

Value 38203 Frequency
1 Agree strongly 7037
2 Agree 14502
3 Neither agree nor disagree 8973
4 Disagree 8801
5 Disagree strongly 2039
0 Not available 0
8 Cant choose 2233
9 NA 585
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
41352 2818 1 5

Valid range from 1 to 5

v39 Foreigners should not be allowed to buy land in[Country] How much do you agree or disagree with the following statements? (Please, tick one box on each line)

Foreigners should not be allowed to buy land in [COUNTRY]

Value 39202 Frequency
1 Agree strongly 8814
2 Agree 9705
3 Neither agree nor disagree 8544
4 Disagree 10670
5 Disagree strongly 3935
0 Not available 0
8 Cant choose 1932
9 NA 570
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
41668 2502 1 5

Valid range from 1 to 5

v40 [Country’s] television should give preference to[Country] films and programmes How much do you agree or disagree with the following statements? (Please, tick one box on each line)

[COUNTRY’S] television should give preference to [COUNTRY] films and programmes

Value 40201 Frequency
1 Agree strongly 8307
2 Agree 13048
3 Neither agree nor disagree 9158
4 Disagree 8626
5 Disagree strongly 3180
0 Not available 0
8 Cant choose 1314
9 NA 537
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
42319 1851 1 5

Valid range from 1 to 5

v41 Large international companies are doing more and more damage to local businesses in[Country]. How much do you agree or disagree with the following statements? (Please, tick one box on each line)

Large international companies are doing more and more damage to local businesses in [COUNTRY].

Value 41200 Frequency
1 Agree strongly 8646
2 Agree 15673
3 Neither agree nor disagree 8351
4 Disagree 6140
5 Disagree strongly 1256
0 Not available 0
8 Cant choose 3532
9 NA 572
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
40066 4104 1 5

Valid range from 1 to 5

v42 Free trade leads to better products becoming available in[Country]. How much do you agree or disagree with the following statements? (Please, tick one box on each line)

Free trade leads to better products becoming available in [COUNTRY].

Value 42199 Frequency
1 Agree strongly 5848
2 Agree 19118
3 Neither agree nor disagree 8432
4 Disagree 4340
5 Disagree strongly 906
0 Not available 2483
8 Cant choose 2478
9 NA 565
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
38644 5526 1 5

Valid range from 1 to 5

v43 In general,[Country] should follow the decisions of international organizations to which it belongs, even if the government does not agree with them. How much do you agree or disagree with the following statements? (Please, tick one box on each line)

In general, [COUNTRY] should follow the decisions of international organizations to which it belongs, even if the government does not agree with them.

Value 43198 Frequency
1 Agree strongly 3016
2 Agree 12627
3 Neither agree nor disagree 11437
4 Disagree 9729
5 Disagree strongly 2088
0 Not available 0
8 Cant choose 4588
9 NA 685
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
38897 5273 1 5

Valid range from 1 to 5

v44 International organizations are taking away too much power from the[Country Nationality] government. How much do you agree or disagree with the following statements? (Please, tick one box on each line)

International organizations are taking away too much power from the [COUNTRY NATIONALITY] government.

Value 44197 Frequency
1 Agree strongly 4551
2 Agree 13585
3 Neither agree nor disagree 10598
4 Disagree 7971
5 Disagree strongly 1257
0 Not available 0
8 Cant choose 5523
9 NA 685
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
37962 6208 1 5

Valid range from 1 to 5

v45 Increased exposure to foreign films, music, and books is damaging our national and local cultures. How much do you agree or disagree with the following statements? (Please, tick one box on each line)

Increased exposure to foreign films, music, and books is damaging our national and local cultures.

Value 45196 Frequency
1 Agree strongly 5593
2 Agree 10756
3 Neither agree nor disagree 7811
4 Disagree 12113
5 Disagree strongly 4169
0 Not available 1036
8 Cant choose 2136
9 NA 556
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
40442 3728 1 5

Valid range from 1 to 5

v46 A benefit of the Internet is that it makes information available to more and more people worldwide.

Value 46195 Frequency
1 Agree strongly 16284
2 Agree 18201
3 Neither agree nor disagree 3730
4 Disagree 1161
5 Disagree strongly 400
0 Not available 0
8 Cant choose 3759
9 NA 635
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
39776 4394 1 5

Valid range from 1 to 5

v47 It is impossible for people who do not share [Country’s] customs and traditions to become fully [Country’s nationality] How much do you agree or disagree with the following statements? (Please, tick one box on each line)

A benefit of the Internet is that it makes information available to more and more people worldwide.

Value 47194 Frequency
1 Agree strongly 8328
2 Agree 13717
3 Neither agree nor disagree 6793
4 Disagree 9506
5 Disagree strongly 2558
0 Not available 1505
8 Cant choose 1305
9 NA 458
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
40902 3268 1 5

Valid range from 1 to 5

v48 Ethnic minorities should be given government assistance to preserve their customs and traditions How much do you agree or disagree with the following statements? (Please, tick one box on each line)

It is impossible for people who do not share [COUNTRY’s] customs and traditions to become fully [COUNTRY’S NATIONALITY]

Value 48193 Frequency
1 Agree strongly 5636
2 Agree 13959
3 Neither agree nor disagree 8292
4 Disagree 7987
5 Disagree strongly 4295
0 Not available 1505
8 Cant choose 1989
9 NA 507
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
40169 4001 1 5

Valid range from 1 to 5

v49 Help minorities to preserve traditions How much do you agree or disagree with the following statements? (Please, tick one box on each line)

Ethnic minorities should be given government assistance to preserve their customs and traditions

Value 49192 Frequency
1 Maintain traditions 17849
2 Adapt into larger society 19688
0 Not available 0
8 Dont know 5446
9 NA 1187
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
37537 6633 1 2

Valid range from 1 to 2

v50 Immigrants increase crime rates Some people say that it is better for a country if different racial and ethnic groups maintain their distinct customs and traditions. Others say that it is better if these groups adapt and blend into the larger society. Which of these views comes closer to your own?

Immigrants increase crime rates

Value 50191 Frequency
1 Agree strongly 7142
2 Agree 12698
3 Neither agree nor disagree 8194
4 Disagree 8927
5 Disagree strongly 2345
0 Not available 2483
8 Cant choose 1878
9 NA 503
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
39306 4864 1 5

Valid range from 1 to 5

v51 Immigrants are generally good for [Country’s] economy There are different opinions about immigrants from other countries living in [COUNTRY]. (By “immigrants” we mean people who come to settle in [COUNTRY])1. How much do you agree or disagree with each of the following statements? (Please, tick one box on each line)

Immigrants are generally good for [COUNTRY’S] economy

Value 51190 Frequency
1 Agree strongly 2135
2 Agree 12351
3 Neither agree nor disagree 11208
4 Disagree 9520
5 Disagree strongly 3060
0 Not available 2483
8 Cant choose 2874
9 NA 539
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
38274 5896 1 5

Valid range from 1 to 5

v52 Immigrants take jobs away from people who were born in[Country] There are different opinions about immigrants from other countries living in [COUNTRY]. (By “immigrants” we mean people who come to settle in [COUNTRY])2. How much do you agree or disagree with each of the following statements? (Please, tick one box on each line)

Immigrants take jobs away from people who were born in [COUNTRY]

Value 52189 Frequency
1 Agree strongly 5562
2 Agree 11211
3 Neither agree nor disagree 8166
4 Disagree 11223
5 Disagree strongly 3579
0 Not available 2483
8 Cant choose 1428
9 NA 518
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
39741 4429 1 5

Valid range from 1 to 5

v53 Immigrants improve[Country Nationality] society by bringing in new ideas and cultures There are different opinions about immigrants from other countries living in [COUNTRY]. (By “immigrants” we mean people who come to settle in [COUNTRY])3. How much do you agree or disagree with each of the following statements? (Please, tick one box on each line)

Immigrants improve [COUNTRY NATIONALITY] society by bringing in new ideas and cultures

Value 53188 Frequency
1 Agree strongly 3246
2 Agree 15014
3 Neither agree nor disagree 10119
4 Disagree 7572
5 Disagree strongly 2691
0 Not available 2483
8 Cant choose 2523
9 NA 522
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
38642 5528 1 5

Valid range from 1 to 5

v54 Government spends too much money assisting immigrants There are different opinions about immigrants from other countries living in [COUNTRY]. (By “immigrants” we mean people who come to settle in [COUNTRY])4. How much do you agree or disagree with each of the following statements? (Please, tick one box on each line)

e. Government spends too much money assisting immigrants.

Value 54187 Frequency
1 Agree strongly 6450
2 Agree 10688
3 Neither agree nor disagree 9132
4 Disagree 7687
5 Disagree strongly 2249
0 Not available 2483
8 Cant choose 4932
9 NA 549
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
36206 7964 1 5

Valid range from 1 to 5

v55 Number of immigrants coming to country

Do you think the number of immigrants to [COUNTRY] nowadays should be ...

Value 55186 Frequency
1 Increase a lot 1116
2 Increase a little 3004
3 Remain the same 12179
4 Reduced a little 10393
5 Reduced a lot 10297
0 Not available 2483
8 Cant choose 4303
9 Na, refused 395
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
36989 7181 1 5

Valid range from 1 to 5

v56 Are you a citizen of[Country]

Are you a citizen of [COUNTRY]?

Value 56185 Frequency
1 Yes 41624
2 No 2288
0 Not available 0
9 Na, refused 258
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
43912 258 1 2

Valid range from 1 to 2

v57 Parents citizen of (country) at birth

At the time of your birth, were both, one or neither of your parents citizens of [COUNTRY]?

Value 57184 Frequency
1 Both citizens 38518
2 Only father citizen 671
3 Only mother citizen 580
4 Neither parent 2855
0 Not available 1093
9 Dk,Na, refused 453
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
42624 1546 1 4

Valid range from 1 to 4

v58 Racial-ethnic group of R

(Racial/ethnic (linguistic, religious) group of respondent. No extra question needed if you have the information in your demographics part. 1

Value 58183 Frequency
1 Africa,Mandinka,Somalia,Sudan,Yoruba 211
2 Afrikaan 0
3 Aklanon,Romblon 1
4 Albanian 3
5 Alsacien, France 0
6 American Indian,Navajo,Ind.Dialect 26
7 American,American only,America,(D:USA) 4
8 Antiqueńo 5
9 Arab,Arabic,Muslim 8
10 Armenian,Transcaucasian 70
11 Asian,Asia,other Asian 16
12 Australian,Oceanian,Australia 15
13 Austrian,Austria 787
14 Bangladeshi,Bengali,Bangladesh 1
15 Basque/Vasco 0
16 Belgian,Belgium 4
17 Belorussian,Bialorussian 34
18 Bicolano/Bikol 60
19 Bilaan 4
20 Black/African/Carribean,No-Spanish 27
21 Bosnian, SLO:ethn.Muslim 38
22 Breton, France 0
23 Bul-anon 5
24 Bulgarian 922
25 Cajun French 0
26 Catalan,Valencian,Balear/Mallorquin 0
27 Coloured 0
28 Cook Island Maori 8
29 Corse, France 0
30 Creole,Surinam/Sranan,Metis,Chavacano 1
31 Jewish/Yiddish 36
32 Croatian 39
33 Czech-Czechia,Czech Republic 1124
34 Chinese-Cantonese,Hakka,Mandarin 2054
35 Danish,Denmark 1096
36 Danish+English 0
37 English + Persian 0
38 English + Tai 0
39 English,England&Wales,UK,England 497
40 Esperanto,Latin,Slavonik,Celtic 0
41 Estonia 2
42 Ethiopia 1
43 European,White/European,Europe 682
44 Europeans Mediterranean 106
45 Finnish,Finland 1400
46 French,France 1890
47 Gallego 0
48 Georgian 0
49 German,Germany (CZ:Nemec) 1238
50 German+Danish 2
51 Greek,Greece 9
52 Hebrew/Ivrit 9
53 Hungarian,Hungary (CZ:Magyar) 1133
54 Ibanag 10
55 Ifugao 1
56 Igorot 3
57 Ilocano 156
58 Ilonggo 195
59 French+English 0
60 Indian,Hindi,Urdu,Gujarati,Tamil 30
61 Indonesian,Malay/Malaysian 5
62 Inuit, Eskimo 17
63 Iranian,Persian/Farsi,Dari 8
64 Iraq 1
65 Irish/Irish Gaelic,Ireland 1032
66 Isindebele 0
67 Isixhosa 0
68 Isizulu 0
69 Italian,Italy 254
70 Itawis 1
71 Itneg 1
72 Japanese,Japan 1094
73 Jordan 1
74 Kapampangan 18
75 Karay-a 4
76 Korean 1318
77 Kurdish,Assyrian,Lebanese 6
78 Latin-American, South America, Spanish Origin from western c 171
79 Latvian,Estonian,Lith.,Baltic 604
80 Lithuanian 0
81 Luxemborger, Luxemburg 0
82 Philippine other (Maguindanao, Kuyonin, Tangadanon, Zambaleń 50
83 Maori,NZ Maori 174
84 Maranaw/Maranao 2
85 Masbateńo 13
86 Metis 6
87 Montenegro 1
88 Moravian 111
89 Netherlands,Dutch,Flemish 20
90 Nordic,Scandinavian other 10
91 North Africans 25
92 Norwegian,Norway 1386
93 Occitan, France 0
94 One non-Swedish,both non-Swedish 0
95 Oriental 1
96 Ozamisnon 1
97 Pacific,Polynesian,Chamorro Guam 2
98 Pakistan,Panjab/Punjabi,Pashto 7
99 Panggalatok Pangasinan,Pangasinense 10
100 Philippines,Tagalog,Filippino 298
101 Pidgin, PNG Pidgin 0
102 Polish,Pole,Poland 72
103 Portuguese, Portugal 1418
104 Provençal, France 0
105 Romani,Gipsy ,Tzyganes 73
106 Romanian/Rumanian 10
107 Romblonon 4
108 Russian,Russia,USSR&Rep. 2475
109 Samic,Lapp 3
110 Samoan,Tokelauan 16
111 Scotland,Scots Gaelic,Scottish 72
112 Sepedi 0
113 Serbia,Serbian,Serb, Yugoslavian 97
114 Sesotho 0
115 Setswana 0
116 Silesian 9
117 Siswati 0
118 Slovakia,Slovak 1045
119 Slovenia,Slovenian,Slovene 1001
120 Somalia 1
121 Spanish,Castilian,Castellano 383
122 Subanen 3
123 Surigaonon 2
124 Swedish (both citizen) 1114
125 Switzerland,Rheto-roman 822
126 Tatar 97
127 Thai,Khmer,Vietnamese,Cont.Southeast 8
128 Tongan,Niuean 7
130 Tshivenda/Lemba 0
131 Turkey,Turkish 138
132 Ukraine,Ukrainian 59
133 Visayan/Cebuano,Boholano,Leyteno 313
134 Waray 47
135 Welsh 0
136 Whites (all) 2158
137 Xitsonga 0
138 Zamboangeńo 1
980 Other African language 0
981 Other,East European 69
982 Other,Middle East 1
983 Other,Mixed origin 446
984 Other,Western European 22
990 No languages at all 0
998 No answer 0
999 Don´t know 650
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
32601 11569 1 984

Valid range from 1 to 990

v59 Children born in[Country] of parents who are not citizens should have the right to become[Country Nationality] citizens. How much do you agree or disagree with the following statements? (Please, tick one box on each line)

Children born in [COUNTRY] of parents who are not citizens should have the right to become [COUNTRY NATIONALITY] citizens.

Value 59182 Frequency
1 Agree strongly 12443
2 Agree 18639
3 Neither agree nor disagree 4750
4 Disagree 4524
5 Disagree strongly 1659
0 Not available 0
8 Cant choose 1718
9 NA 437
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
42015 2155 1 5

Valid range from 1 to 5

v60 Children born abroad should have the right to become[Country Nationality] citizens if at least one of their parents is [Country Nationality] citizen. How much do you agree or disagree with the following statements? (Please, tick one box on each line)

Children born abroad should have the right to become [COUNTRY NATIONALITY] citizens if at least one of their parents is a [COUNTRY NATIONALITY] citizen.

Value 60181 Frequency
1 Agree strongly 11935
2 Agree 21955
3 Neither agree nor disagree 4902
4 Disagree 2661
5 Disagree strongly 623
0 Not available 0
8 Cant choose 1660
9 NA 434
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
42076 2094 1 5

Valid range from 1 to 5

v61 Legal immigrants to[Country] who are not citizens should have the same rights as[Country Nationality] citizens. How much do you agree or disagree with the following statements? (Please, tick one box on each line)

Legal immigrants to [COUNTRY] who are not citizens should have the same rights as [COUNTRY NATIONALITY] citizens.

Value 61180 Frequency
1 Agree strongly 6171
2 Agree 13957
3 Neither agree nor disagree 7282
4 Disagree 10409
5 Disagree strongly 3822
0 Not available 0
8 Cant choose 2068
9 NA 461
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
41641 2529 1 5

Valid range from 1 to 5

v62 [Country] should take stronger measures to exclude illegal immigrants? How much do you agree or disagree with the following statements? (Please, tick one box on each line)

[COUNTRY] should take stronger measures to exclude illegal immigrants?

Value 62179 Frequency
1 Agree strongly 17707
2 Agree 14483
3 Neither agree nor disagree 5159
4 Disagree 3267
5 Disagree strongly 1326
0 Not available 0
8 Cant choose 1767
9 NA 461
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
41942 2228 1 5

Valid range from 1 to 5

v63 How proud are you being country national

How proud are you of being [COUNTRY NATIONALITY]? (Please, tick one box on each line)

Value 63178 Frequency
1 Very proud 21418
2 Somewhat proud 15463
3 Not very proud 4189
4 Not proud at all 902
0 NAP, NAV, I am not [COUNTRY NATIONALITY] 589
8 Cant choose 1174
9 Na, refused 435
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
41972 2198 1 4

Valid range from 1 to 4

v64 What language speak at home 1st mention What languages do you speak most often at home? At home, I speak: [write down up to two choices]What languages do you speak most often at home? At home, I speak: [write down up to two choices]

1st mention

Value 64177 Frequency
1 Africa,Mandinka,Somalia,Sudan,Yoruba 6
2 Afrikaan 654
3 Aklanon,Romblon 0
4 Albanian 9
5 Alsacien, France 4
6 American Indian,Navajo,Ind.Dialect 0
7 American,American only,America,(D:USA) 29
8 Antiqueńo 0
9 Arab,Arabic,Muslim 171
10 Armenian,Transcaucasian 36
11 Asian,Asia,other Asian 2
12 Australian,Oceanian,Australia 5
13 Austrian,Austria 0
14 Bangladeshi,Bengali,Bangladesh 1
15 Basque/Vasco 9
16 Belgian,Belgium 1
17 Belorussian,Bialorussian 0
18 Bicolano/Bikol 0
19 Bilaan 0
20 Black/African/Carribean,No-Spanish 0
21 Bosnian, SLO:ethn.Muslim 1
22 Breton, France 2
23 Bul-anon 0
24 Bulgarian 1
25 Cajun French 0
26 Catalan,Valencian,Balear/Mallorquin 85
27 Coloured 0
28 Cook Island Maori 2
29 Corse, France 1
30 Creole,Surinam/Sranan,Metis,Chavacano 0
31 Jewish/Yiddish 12
32 Croatian 16
33 Czech-Czechia,Czech Republic 1267
34 Chinese-Cantonese,Hakka,Mandarin 2064
35 Danish,Denmark 1272
36 Danish+English 0
37 English + Persian 0
38 English + Tai 0
39 English,England&Wales,UK,England 6214
40 Esperanto,Latin,Slavonik,Celtic 0
41 Estonia 0
42 Ethiopia 0
43 European,White/European,Europe 1
44 Europeans Mediterranean 0
45 Finnish,Finland 1270
46 French,France 2096
47 Gallego 66
48 Georgian 0
49 German,Germany (CZ:Nemec) 774
50 German+Danish 0
51 Greek,Greece 23
52 Hebrew/Ivrit 826
53 Hungarian,Hungary (CZ:Magyar) 90
54 Ibanag 0
55 Ifugao 0
56 Igorot 0
57 Ilocano 0
58 Ilonggo 0
59 French+English 37
60 Indian,Hindi,Urdu,Gujarati,Tamil 42
61 Indonesian,Malay/Malaysian 2
62 Inuit, Eskimo 0
63 Iranian,Persian/Farsi,Dari 5
64 Iraq 0
65 Irish/Irish Gaelic,Ireland 8
66 Isindebele 35
67 Isixhosa 316
68 Isizulu 332
69 Italian,Italy 110
70 Itawis 0
71 Itneg 0
72 Japanese,Japan 1080
73 Jordan 0
74 Kapampangan 0
75 Karay-a 0
76 Korean 1316
77 Kurdish,Assyrian,Lebanese 1
78 Latin-American, South America, Spanish Origin from western c 0
79 Latvian,Estonian,Lith.,Baltic 674
80 Lithuanian 0
81 Luxemborger, Luxemburg 0
82 Philippine other (Maguindanao, Kuyonin, Tangadanon, Zambaleń 0
83 Maori,NZ Maori 0
84 Maranaw/Maranao 0
85 Masbateńo 0
86 Metis 0
87 Montenegro 0
88 Moravian 0
89 Netherlands,Dutch,Flemish 11
90 Nordic,Scandinavian other 1
91 North Africans 0
92 Norwegian,Norway 0
93 Occitan, France 0
94 One non-Swedish,both non-Swedish 0
95 Oriental 0
96 Ozamisnon 0
97 Pacific,Polynesian,Chamorro Guam 0
98 Pakistan,Panjab/Punjabi,Pashto 6
99 Panggalatok Pangasinan,Pangasinense 0
100 Philippines,Tagalog,Filippino 19
101 Pidgin, PNG Pidgin 2
102 Polish,Pole,Poland 1295
103 Portuguese, Portugal 8
104 Provençal, France 0
105 Romani,Gipsy ,Tzyganes 11
106 Romanian/Rumanian 6
107 Romblonon 0
108 Russian,Russia,USSR&Rep. 2775
109 Samic,Lapp 0
110 Samoan,Tokelauan 3
111 Scotland,Scots Gaelic,Scottish 0
112 Sepedi 192
113 Serbia,Serbian,Serb, Yugoslavian 19
114 Sesotho 207
115 Setswana 211
116 Silesian 0
117 Siswati 55
118 Slovakia,Slovak 1051
119 Slovenia,Slovenian,Slovene 1
120 Somalia 0
121 Spanish,Castilian,Castellano 1067
122 Subanen 0
123 Surigaonon 0
124 Swedish (both citizen) 86
125 Switzerland,Rheto-roman 2
126 Tatar 41
127 Thai,Khmer,Vietnamese,Cont.Southeast 9
128 Tongan,Niuean 2
129 Transcaucasian 1
130 Tshivenda/Lemba 33
131 Turkey,Turkish 8
132 Ukraine,Ukrainian 17
133 Visayan/Cebuano,Boholano,Leyteno 0
134 Waray 0
135 Welsh 1
136 Whites (all) 0
137 Xitsonga 67
138 Zamboangeńo 0
980 Other African language 5
981 Other,East European 0
982 Other,Middle East 0
983 Other,Mixed origin 145
984 Other,Western European 0
990 No languages at all 0
998 No answer 0
999 Don´t know 190
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
28325 15845 1 983

Valid range from 1 to 990

v65 What language speak at home 2nd mention What languages do you speak most often at home? At home, I speak: [write down up to two choices]What languages do you speak most often at home? At home, I speak: [write down up to two choices]

2nd mention

Value 65176 Frequency
1 Africa,Mandinka,Somalia,Sudan,Yoruba 4
2 Afrikaan 5
3 Aklanon,Romblon 0
4 Albanian 16
5 Alsacien, France 9
6 American Indian,Navajo,Ind.Dialect 0
7 American,American only,America,(D:USA) 80
8 Antiqueńo 0
9 Arab,Arabic,Muslim 85
10 Armenian,Transcaucasian 5
11 Asian,Asia,other Asian 2
12 Australian,Oceanian,Australia 1
13 Austrian,Austria 0
14 Bangladeshi,Bengali,Bangladesh 0
15 Basque/Vasco 32
16 Belgian,Belgium 3
17 Belorussian,Bialorussian 0
18 Bicolano/Bikol 0
19 Bilaan 0
20 Black/African/Carribean,No-Spanish 0
21 Bosnian, SLO:ethn.Muslim 0
22 Breton, France 9
23 Bul-anon 0
24 Bulgarian 3
25 Cajun French 1
26 Catalan,Valencian,Balear/Mallorquin 79
27 Coloured 0
28 Cook Island Maori 64
29 Corse, France 2
30 Creole,Surinam/Sranan,Metis,Chavacano 1
31 Jewish/Yiddish 26
32 Croatian 5
33 Czech-Czechia,Czech Republic 53
34 Chinese-Cantonese,Hakka,Mandarin 25
35 Danish,Denmark 22
36 Danish+English 1
37 English + Persian 1
38 English + Tai 1
39 English,England&Wales,UK,England 223
40 Esperanto,Latin,Slavonik,Celtic 0
41 Estonia 0
42 Ethiopia 0
43 European,White/European,Europe 1
44 Europeans Mediterranean 0
45 Finnish,Finland 0
46 French,France 148
47 Gallego 25
48 Georgian 0
49 German,Germany (CZ:Nemec) 141
50 German+Danish 1
51 Greek,Greece 4
52 Hebrew/Ivrit 196
53 Hungarian,Hungary (CZ:Magyar) 86
54 Ibanag 0
55 Ifugao 0
56 Igorot 0
57 Ilocano 0
58 Ilonggo 0
59 French+English 0
60 Indian,Hindi,Urdu,Gujarati,Tamil 9
61 Indonesian,Malay/Malaysian 0
62 Inuit, Eskimo 0
63 Iranian,Persian/Farsi,Dari 10
64 Iraq 0
65 Irish/Irish Gaelic,Ireland 136
66 Isindebele 0
67 Isixhosa 0
68 Isizulu 0
69 Italian,Italy 54
70 Itawis 0
71 Itneg 0
72 Japanese,Japan 3
73 Jordan 0
74 Kapampangan 0
75 Karay-a 0
76 Korean 1318
77 Kurdish,Assyrian,Lebanese 0
78 Latin-American, South America, Spanish Origin from western c 0
79 Latvian,Estonian,Lith.,Baltic 1
80 Lithuanian 0
81 Luxemborger, Luxemburg 1
82 Philippine other (Maguindanao, Kuyonin, Tangadanon, Zambaleń 0
83 Maori,NZ Maori 0
84 Maranaw/Maranao 0
85 Masbateńo 0
86 Metis 0
87 Montenegro 0
88 Moravian 0
89 Netherlands,Dutch,Flemish 8
90 Nordic,Scandinavian other 1
91 North Africans 0
92 Norwegian,Norway 1
93 Occitan, France 10
94 One non-Swedish,both non-Swedish 0
95 Oriental 0
96 Ozamisnon 0
97 Pacific,Polynesian,Chamorro Guam 0
98 Pakistan,Panjab/Punjabi,Pashto 14
99 Panggalatok Pangasinan,Pangasinense 1
100 Philippines,Tagalog,Filippino 2
101 Pidgin, PNG Pidgin 0
102 Polish,Pole,Poland 18
103 Portuguese, Portugal 10
104 Provençal, France 4
105 Romani,Gipsy ,Tzyganes 30
106 Romanian/Rumanian 13
107 Romblonon 0
108 Russian,Russia,USSR&Rep. 190
109 Samic,Lapp 0
110 Samoan,Tokelauan 7
111 Scotland,Scots Gaelic,Scottish 0
112 Sepedi 0
113 Serbia,Serbian,Serb, Yugoslavian 1
114 Sesotho 0
115 Setswana 0
116 Silesian 0
117 Siswati 0
118 Slovakia,Slovak 68
119 Slovenia,Slovenian,Slovene 0
120 Somalia 0
121 Spanish,Castilian,Castellano 290
122 Subanen 0
123 Surigaonon 0
124 Swedish (both citizen) 2
125 Switzerland,Rheto-roman 11
126 Tatar 10
127 Thai,Khmer,Vietnamese,Cont.Southeast 2
128 Tongan,Niuean 0
130 Tshivenda/Lemba 0
131 Turkey,Turkish 6
132 Ukraine,Ukrainian 48
133 Visayan/Cebuano,Boholano,Leyteno 1
134 Waray 0
135 Welsh 0
136 Whites (all) 0
137 Xitsonga 0
138 Zamboangeńo 0
980 Other African language 0
981 Other,East European 0
982 Other,Middle East 0
983 Other,Mixed origin 145
984 Other,Western European 0
990 No languages at all 0
998 No answer 0
999 Don´t know 7014
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
3785 40385 1 983

Valid range from 1 to 990

v66 One nation - Separate nation

Which of these two statements comes closer to your own view?

Value 66175 Frequency
1 Remains one state 15868
2 Become separate 1912
0 Not available 24294
8 Cant choose 1739
9 NA 357
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
17780 26390 1 2

Valid range from 1 to 2

v67 How close do you feel to your ethnic group

How close do you feel to your ethnic group?

Value 67174 Frequency
1 Very close 7088
2 Close 8440
3 Not very close 2208
4 Not close at all 875
0 Not available 23808
8 Cant choose 1383
9 NA 368
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
18611 25559 1 4

Valid range from 1 to 4

v68 R: More regional or national identity

Some people think of themselves first as [COUNTRY NATIONALITY]. Others may think of themselves first as [region] 1. Which if any, of the following best describes how you see yourself?

Value 68173 Frequency
1 Only regional 743
2 More regional 824
3 As regional as national 3163
4 More national 1677
5 Only national 3846
6 Other 168
7 None 175
0 Not available 33128
8 Cant choose 341
9 NA 105
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
10596 33574 1 7

Valid range from 1 to 7

v69 Heard-read about [European Union]

How much have you heard or read about [the European Union]?

Value 69172 Frequency
1 A lot 3160
2 Quite a bit 7428
3 Not much 6040
4 Nothing at all 1637
0 Not available 25775
8 Cant choose 15
9 NA 115
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
18265 25905 1 4

Valid range from 1 to 4

v70 Benefits from being member of [European Union]: EU MEMBERS

Generally speaking, would you say that [COUNTRY] benefits or does not benefit from being a member of [the European Union]? (Non-members “would benefit” or “would not benefit”)

Value 70171 Frequency
1 Greatly benefits 1352
2 Largely benefits 3364
3 Somewhat benefits 5678
4 Only a little 2675
5 Not at all benefit 1723
0 NAP, NAV, Have never heard of EU 26638
8 Dont know 2455
9 NA 285
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
14792 29378 1 5

Valid range from 1 to 5

v70b Benefits from being member [European Union]: non EU MEMBERS

Generally speaking, would you say that [COUNTRY] would benefit or would not benefit from being a member of [the European Union]?

Value 71170 Frequency
1 Would benefit 1013
2 Would not benefit 707
0 NAP, NAV, Have not heard of EU 41703
8 Dont know 351
9 NA 396
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1720 42450 1 2

Valid range from 1 to 2

v71 [Country] should follow [European Union] decisions, even if it does not agree with them.

How strongly do you agree or disagree with the following statement? (Please, tick one box)

Value 72169 Frequency
1 Agree strongly 709
2 Agree 3319
3 Neither agree nor disagree 3630
4 Disagree 4222
5 Disagree strongly 1405
0 Not available 29223
8 Cant choose 1497
9 NA 165
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
13285 30885 1 5

Valid range from 1 to 5

v72 EU should have more power than national government

Generally, do you think that the European Union should have... Much more, more, as much, less, or much less power than the national governments of its member states?

Value 73168 Frequency
1 Much more 386
2 More 2243
3 As much 6427
4 Less 4400
5 Much less 1439
0 Not available; Not applicable 26562
8 Cant choose 2314
9 NA 399
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
14895 29275 1 5

Valid range from 1 to 5

v73 Vote if referendum to become new member

[For prospective EU members only]. If there were a referendum1 today to decide whether [COUNTRY] does or does not become a member of the European Union, would you vote in favor or would you vote against?

Value 74167 Frequency
1 Vote in favour 4980
2 Vote against 1825
0 Not available; Not applicable 35822
8 Cant choose 1109
9 NA 434
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
6805 37365 1 2

Valid range from 1 to 2

v74 If there were a referendum today to decide whether[Country] does or does not become a member of the [European Union], would you vote in favor or would you vote against?

[For current EU members only]. If there were a referendum1 today to decide whether [COUNTRY] does or does not remain a member of the European Union, would you vote in favor or would you vote against?

Value 75166 Frequency
1 Vote in favour 4503
2 Vote against 1823
0 Not available 36545
8 Cant choose 1282
9 NA 17
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
6326 37844 1 2

Valid range from 1 to 2

sex R: Sex

Sex of respondent

Value 76165 Frequency
1 Male 20098
2 Female 24037
0 NAP, NAV 0
9 Na, refused 35
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
44135 35 1 2

Valid range from 1 to 2

age R: Age

Age of respondent

Value 77164 Frequency
16 16 years 86
96 GB,AUS:96 years or older 5
0 NAP, NAV 0
99 Na, refused 273
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
43897 273 15 98

Valid range from 15 to 98

marital R: Marital status

Marital status of respondent (legal status)

Value 78163 Frequency
1 Marr,liv as mar 25160
2 Widowed 3663
3 Divorced 2775
4 Separated, but married 856
5 Single, never married 11393
6 N: Registered partnership between two people of the same sex 0
0 NAP, NAV 0
9 Na, refused 323
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
43847 323 1 5

Valid range from 1 to 6

cohab R: Steady life-partner

(If 'not married and living together with spouse'). Do you have/live together with a partner?

Value 79162 Frequency
1 Yes 3167
2 No 14100
0 NAP,married,no partner,NAV 26327
9 Na,refused 576
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
17267 26903 1 2

Valid range from 1 to 2

educyrs R: Education I: years of schooling

Education I - years (of full time) schooling including university but not vocational training.

Value 80161 Frequency
1 AUS: 0 or 1 yr 82
3 NZ:1-3 yrs 333
8 NZ:4-8 yrs 2944
9 N:7-9 yrs 2524
11 NZ:9-11 yrs 3736
13 NZ:12-13 yrs 2716
16 NZ:14-16 yrs 2616
18 NZ:17+ yrs 1313
94 GB: Other answer 1
95 Still at school,N:+uni 740
96 Still at college,uni 1149
97 No form school 512
0 NAV 3682
98 Dont know 137
99 Na, refused 1082
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
39269 4901 1 97

Valid range from 1 to 97

degree R: Education II-highest education level

Education II - highest education level / degree.

Value 81160 Frequency
0 No formal qualification 2197
1 Lowest formal qualification 8707
2 Above lowest qualification 9242
3 Higher secondary completed 9808
4 Above higher secondary level 7034
5 University degree completed 6698
7 Other education (CH) 6
8 Dont know 29
9 Na, NAV, NAP 449
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
43692 478 0 7

Valid range from 0 to 7

at_degr Country specific education: Austria

Education Country Specific - highest education level / degree.

Value 82159 Frequency
1 Compulsory school without apprenticeship 202
2 Compulsory school with apprenticeship 358
3 Middle school vocational 148
4 Secondary general completed, Matura 88
5 Higher vocational, technical school 102
6 University 106
0 NAP, NAV, Not asked 43164
99 NA 2
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1004 43166 1 6

Valid range from 1 to 6

au_degr Country specific education: Australia

Education Country Specific - highest education level / degree.

Value 83158 Frequency
1 Did not complete High School to Year 10 337
2 Completed High School to Year 10 342
3 Completed High School to Year 12 255
4 Trade qualification or apprenticeship 263
5 Certificate or Diploma (TAFE or business college) 465
6 Bachelor Degree (including Honors) 279
7 Postgraduate Degree or Postgraduate Diploma 194
0 NAP, NAV, Not asked 41987
99 NA 48
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
2135 42035 1 7

Valid range from 1 to 7

bg_degr COuntry specific education: Bulgaria

Education Country Specific - highest education level / degree.

Value 84157 Frequency
2 Primary 99
3 Lower secondary 265
4 Upper secondary 187
5 Secondary technical 300
6 College 50
7 Higher 130
8 University and higher 13
97 No formal schooling 20
0 NAP, NAV, Not asked 43101
99 NA 5
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1064 43106 2 97

Valid range from 2 to 97

ca_degr Country specific education: Canada

Education Country Specific - highest education level / degree.

Value 85156 Frequency
2 Some grade school 25
3 Finshed grade school 52
4 Some high school 136
5 Finished high school 299
6 College/CEGEP/some university 357
7 Completed university 205
8 Graduate studies 110
97 None, still at school, university 7
0 NAP, NAV, Not asked 42959
99 NA,refused 20
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1191 42979 2 97

Valid range from 2 to 97

ch_degr Country specific education: Switzerland

Education Country Specific - highest education level / degree.

Value 86155 Frequency
1 Incomplete compulsory education 7
2 Compulsory education 110
3 Elementary vocational training (enterprise + school) 36
4 Secondary education (maturity, teacher training college) 72
5 Graduation diploma school (vocational maturity) 19
6 1 year: trade school,adm educ,domestic science/ling course 33
7 Apprenticeship 361
8 2 to 3 years: general training school, administrative edu 23
9 2 to 3 years: full time vocational education 53
10 Higher vocational education, federal diploma 90
11 Tech or vocational college (2 yrs full time/3 yrs part time) 24
12 Advanced tech college (3 yrs full time/4 yrs part time) 72
13 University (3 years, short bachelor´s degree) 12
14 University, tech uni (4 yrs and more, bachelor´s degree) 71
15 University, tech higher spec uni (masters, post-grade) 46
97 Other education 6
0 NAP, NAV, Not asked 43133
98 Don´t know 1
99 NA 1
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1035 43135 1 97

Valid range from 1 to 97

cz_degr Country specific education: Czech Republic

Education Country Specific - highest education level / degree.

Value 87154 Frequency
1 Incomplete primary 6
2 Primary completed 158
3 Lower vocational 364
4 General sec.,no diploma 120
5 Vocational, upper diploma 65
6 Technical secondary 262
7 Academic secondary 116
8 Higher education 31
9 Tertiary,bachelor 28
10 Tertiary,master degree 95
11 Post-graduate education 11
0 NAP, NAV, Not asked 42894
99 NA 20
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1256 42914 1 11

Valid range from 1 to 11

de_degr Country specific education: Germany

Education Country Specific - highest education level / degree.

Value 88153 Frequency
2 School left without qualification 31
3 Lower secondary (Hauptschule) 504
4 Middle school (Mittlere Reife) 415
5 Secondary technical (Fachhochschulreife) 49
6 Higher secondary (Abitur) 95
7 Special university qualification (Fachhochschulabschluss) 64
8 University 111
9 Other qualification 3
97 Still at school 13
0 NAP, NAV, Not asked 42883
99 Na, refused 2
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1285 42885 2 97

Valid range from 2 to 97

dk_degr Country specific education: Denmark

Education Country Specific - highest education level / degree.

Value 89152 Frequency
1 7 years primary school or shorter 197
2 8 years primary school 64
3 9 years primary school or similar 138
4 10 years primary school or similar 308
5 Gymnasium, general 350
6 Gymnasium, technical & commercial 151
7 Other 85
0 NAP, NAV, Not asked 42848
98 Dont know 0
99 No Answer 29
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1293 42877 1 7

Valid range from 1 to 7

es_degr Country specific education: Spain

Education Country Specific - highest education level / degree.

Value 90151 Frequency
1 Incpl primary 162
2 Primary compl 224
3 Incpl secondary 319
4 Vocational school 116
5 Secondary compl 88
6 COU - PREU 91
7 Incpl university 93
8 University compl 99
97 None 18
0 NAP, NAV, Not asked 42958
99 NA 2
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1210 42960 1 97

Valid range from 1 to 97

fr_degr Country specific education: France

Education Country Specific - highest education level / degree.

Value 91150 Frequency
2 Primary incomplete 44
3 Primary completed 161
4 Gen. sec. lev 1 111
5 Vocat.sec. lev 1 300
6 Voc. sec. lev 2 68
7 Incpl gen.sec. lev 2 125
8 Gen.sec.lev 2 115
9 College 241
10 University 451
97 None 32
0 NAP, NAV, Not asked 42501
99 NA 21
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1648 42522 2 97

Valid range from 2 to 97

gb_degr Country specific education: Britain

Education Country Specific - highest education level / degree.

Value 92149 Frequency
2 CSE or equilvalent 104
3 O-level or equivalent 163
4 A-level or equivalent 122
5 Higher below degree level 115
6 Degree, university o CNAA o diploma 129
7 Foreign or other 11
97 No sec. qualifications 228
0 NAP, NAV, Not asked 43297
99 DK, NA 1
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
872 43298 2 97

Valid range from 2 to 97

hu_degr Country specific education: Hungary

Education Country Specific - highest education level / degree.

Value 93148 Frequency
2 Less than primary 99
3 8 years elementary 248
4 Vocational 252
5 Vocational+maturity 0
6 Sec. technical+matura 137
7 Gymnasium, matura 100
8 College 132
9 University 50
97 No formal schooling 0
0 NAP, NAV, Not asked 43149
99 NA 3
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1018 43152 2 9

Valid range from 2 to 97

il_degr Country specific education: Israel

Education Country Specific - highest education level / degree.

Value 94147 Frequency
1 primary 62
2 Incpl vocational 44
3 Vocational compl 83
4 Vocational with matriculation 87
5 Incpl academic 57
6 academic compl 64
7 academic with matriculation 172
8 Yeshiva 11
9 Yeshiva with matriculation 3
10 post secondary 199
11 Incpl university 90
12 university compl (BA or more) 317
97 No formal education 20
0 NAP, NAV, Not asked 42952
99 NA 9
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1209 42961 1 97

Valid range from 1 to 97

ie_degr Country specific education: Ireland

Education Country Specific - highest education level / degree.

Value 95146 Frequency
2 Incomplete primary 31
3 Primary complete 167
4 Incomplete first cycle secondary 63
5 Complete first cycle secondary 177
6 Secondary complete 301
7 Incomplete third level 53
8 Cert or Diploma 103
9 University first degree 98
10 University degree Masters or higher 65
97 None 7
0 NAP, NAV, Not asked 43105
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1065 43105 2 97

Valid range from 2 to 97

jp_degr Country specific education: Japan

Education Country Specific - highest education level / degree.

Value 96145 Frequency
1 Secondary completed 248
2 High school completed 483
3 Junior college compl 135
4 Finished university 148
5 Still at High school 38
6 Still at Junior college 28
7 Others 1
0 NAP, NAV, Not asked 43068
99 NA 21
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1081 43089 1 7

Valid range from 1 to 7

kr_degr Country specific education: South Korea

Education Country Specific - highest education level / degree.

Value 97144 Frequency
1 Elementary incompleted 22
2 Elementary completed 85
3 Middle school incompleted 16
4 Middle school completed 107
5 High school incompleted 33
6 High school completed 405
7 Junior college incompleted 42
8 Junior college completed 125
9 University incompleted 117
10 University completed 242
11 Graduate school incompleted 10
12 Graduate school completed 40
97 No formal schooling 56
0 NAP, NAV, Not asked 42855
98 Don´t Know 0
99 NA 15
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1300 42870 1 97

Valid range from 1 to 97

lv_degr Country specific education: Latvia

Education Country Specific - highest education level / degree.

Value 98143 Frequency
0 NAP, NAV, Not asked 44170
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
0 44170

no_degr Country specific education: Norway

Education Country Specific - highest education level / degree.

Value 99142 Frequency
1 Primary 145
2 Sec. vocational, inc 91
3 Sec. academic, inc 148
4 Sec. voc., compl 225
5 Sec. acad., compl 256
6 Univ.,coll. <1 year 43
7 Univ., coll. 1-2 yrs 118
8 Univ., coll. 3-4 yrs 274
9 Univ., coll. >= 5 yrs 147
0 NAP, NAV, Not asked 42701
99 NA 22
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1447 42723 1 9

Valid range from 1 to 9

nz_degr Country specific education: New Zealand

Education Country Specific - highest education level / degree.

Value 100141 Frequency
2 School qualifications only 265
3 Trade or professional cert 228
4 Diploma below Bachelors 101
5 Bachelors degree 97
6 Post-grad or higher 62
97 No formal qualification 250
0 NAP, NAV, Not asked 43134
99 NA 33
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1003 43167 2 97

Valid range from 2 to 97

pl_degr Country specific education: Poland

Education Country Specific - highest education level / degree.

Value 101140 Frequency
2 Incomplete elementary 42
3 Elementary 279
4 Basic vocational 353
5 Incomplete secondary 51
6 Secondary general 95
7 Secondary vocational 232
8 Post secondary 44
9 Incomplete higher 25
10 Completed higher 151
97 No formal schooling 5
0 NAP, NAV, Not asked 42893
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1277 42893 2 97

Valid range from 2 to 97

pt_degr Country specific education: Portugal

Education Country Specific - highest education level / degree.

Value 102139 Frequency
1 Basic -level 1 693
2 Basic-levels 2 and 3 283
3 Secondary incomplete 195
4 Complete secondary 85
5 University incomplete 99
6 Complete university 140
97 No formal qualification 101
0 NAP, NAV, Not asked 42568
98 DK 1
99 NA 5
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1596 42574 1 97

Valid range from 1 to 97

cl_degr Country specific education: Chile

Education Country Specific - highest education level / degree.

Value 103138 Frequency
2 Incomplete primary 331
3 Primary completed 149
4 Incomplete secondary 194
5 Secondary completed 382
6 University incompleted 87
7 University completed 136
8 Incompl non-university higher 43
9 Completed non-university higher 125
97 None 50
0 NAP, NAV, Not asked 42665
99 NA 8
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1497 42673 2 97

Valid range from 2 to 97

ph_degr Country specific education: Philippines

Education Country Specific - highest education level / degree.

Value 104137 Frequency
2 Incomplete primary 121
3 Primary completed 148
4 Incomplete secondary 160
5 Secondary completed 314
6 Some Vocational 26
7 Completed vocational 59
8 Some college 170
9 Completed college 169
10 Post college 9
97 None 24
0 NAP, NAV, Not asked 42970
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1200 42970 2 97

Valid range from 2 to 97

ru_degr Country specific education: Russia

Education Country Specific - highest education level / degree.

Value 105136 Frequency
2 Incompleted primary 2
3 Primary completed 103
4 Incompleted secondary 355
5 Secondary completed 1148
6 Semi-higher, incompleted university 57
7 University comleted 490
97 None, still at school, university 228
0 NAP, NAV, Not asked 41787
98 Don´t know 0
99 NA 0
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
2383 41787 2 97

Valid range from 2 to 97

se_degr Country specific education: Sweden

Education Country Specific - highest education level / degree.

Value 106135 Frequency
1 Primary or comprehensive 255
2 Vocational school (1972-92) 137
3 Vocational school (post 1992) 50
4 Vocational school (pre 1972) 86
5 Alternative secondary school 24
6 Lower secondary school 48
7 3 o 4 yr gymnasium 130
8 Gymnasium (academic) 28
9 Higher sec. school 32
10 University studies without degree 115
11 University degree 262
0 NAP, NAV, Not asked 42984
99 NA 19
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1167 43003 1 11

Valid range from 1 to 11

fi_degr Country specific education: Finland

Education Country Specific - highest education level / degree.

Value 107134 Frequency
2 Primary school 175
3 Comprehensive (primary + lower secondary) school 98
4 Post-comprehensive vocational school or course 297
5 Post-comprehensive upper secondary school 135
6 Post-comprehensive vocational college 305
7 Polytechnic 66
8 University, lower academic degree (BA) 60
9 University, higher academic degree (MA) 147
97 None; still at school (comprehensive,upper second., vocat.) 68
0 NAP, NAV, Not asked 42791
99 Na 28
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1351 42819 2 97

Valid range from 2 to 97

sk_degr Country specific education: Slovak Rep.

Education Country Specific - highest education level / degree.

Value 108133 Frequency
1 Incomplete primary 89
2 Primary completed 347
3 General sec.,no diploma 365
4 General secondary 91
5 Tertiary,master degree 196
97 No formal education 9
0 NAP, NAV, Not asked 43018
99 NA 55
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1097 43073 1 97

Valid range from 1 to 97

si_degr Country specific education: Slovenia

Education Country Specific - highest education level / degree.

Value 109132 Frequency
1 Incomplete primary 58
2 Primary completed 221
3 Incomplete vocational 27
4 2-3 yrs vocational 276
5 4 yrs middle school 322
6 Incomplete university 27
7 Higher degree compl 51
8 University compl 106
0 NAP, NAV, Not asked 43077
99 NA 5
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1088 43082 1 8

Valid range from 1 to 8

tw_degr Country specific education: Taiwan

Education Country Specific - highest education level / degree.

Value 110131 Frequency
2 Self-study 21
3 Elementary school 363
4 Junior high schoolˇBVocational junior high school 281
5 High school(general subject)ˇBHigh school(vocational subject 540
6 Five-year vocational school(after junior high) 72
7 two-year vocation school(after vocational high school) 208
8 Three-year vocational school(after high school of general su 24
9 Cadet school 4
10 Military/Police training course 5
11 Military/Police specialist courseˇBMilitary/Police officers 24
12 College 252
13 Graduate school(M.A. degree) 54
14 Graduate school(Ph.D degree) 9
15 other 1
97 None 158
0 NAP, NAV, Not asked 42154
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
2016 42154 2 97

Valid range from 2 to 97

us_degr Country specific education: United States

Education Country Specific - highest education level / degree.

Value 111130 Frequency
1 LT high school 135
2 High school 608
3 Junior college 104
4 Bachelor 249
5 Graduate 120
0 NAP, NAV, Not asked 42954
99 NAP, NAV 0
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1216 42954 1 5

Valid range from 1 to 5

uy_degr Country specific education: Uruguay

Education Country Specific - highest education level / degree.

Value 112129 Frequency
2 Incomplete primary school 139
3 Completed primary school 209
4 Incomplete secondary 289
5 Completed secondary 112
6 Incomplete technical education 57
7 Completed technical education 74
8 Incomplete university 88
9 Completed university 69
10 Incomplete non university high education 14
11 Completed non university high education 39
97 None 18
0 NAP, NAV, Not asked 43062
99 NA 0
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1108 43062 2 97

Valid range from 2 to 97

ve_degr Country specific education: Venezuela

Education Country Specific - highest education level / degree.

Value 113128 Frequency
1 Before primary school 4
2 Basic school (1-9) / Primary (1-6) 608
3 Special education 1
4 High school (1-2) 209
5 Technical school (1-3) 34
6 Secondary school (1-5) 46
7 University Technician 92
8 University 157
97 None 45
0 NAP, NAV, Not asked 42971
98 Dont know 2
99 Na 1
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1196 42974 1 97

Valid range from 1 to 97

za_degr Country specific education: South Africa

Education Country Specific - highest education level / degree.

Value 114127 Frequency
1 Grade 0 5
2 Sub A/Grade 1 29
3 Sub B/Grade 2 25
4 Grade 3/Standard 1 54
5 Grade 4/Standard 2 65
6 Grade 5/Standard 3 102
7 Grade 6/Standard 4 122
8 Grade 7/Standard 5 168
9 Grade 8/Standard 6/Form 1 230
10 Grade 9/Standard 7/Form 2 168
11 Grade 10/Standard 8/Form 3 273
12 Grade 11/Standard 9/Form 4 188
13 Grade 12/Standard 10/Form 5/Matric 534
14 NTC I 5
15 NTC II 7
16 NTC III 9
17 Diploma/certificate with<Grade 12/Std 10 35
18 Diploma/certificate with Grade 12/Std 10 80
19 Degree 71
20 Postgraduate degree or diploma 65
21 Other, specify 26
97 No schooling 200
0 NAP, NAV, Not asked 41687
98 Do not know 1
99 NA, NAP, NAV 21
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
2461 41709 1 97

Valid range from 1 to 97

wrkst R: Current employment status

Current employment status, current economic position, main source of living.

Value 115126 Frequency
1 Employed-full time 19630
2 Employed-part time 3231
3 Empl-< part-time,PL: Seasonal or commission work,odd jobs 746
4 Helpg family member 321
5 Unemployed 3089
6 Studt,school,vocat.trng 2634
7 Retired 8637
8 Housewife,home duties 4075
9 Permanently disabled 764
10 Oth,not i labour force 693
97 Refused 33
0 NAV 0
98 Dont know 0
99 Na 317
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
43853 317 1 97

Valid range from 1 to 97

wrkhrs R: Hours worked weekly

Working hours - number of hours (usually) worked weekly.

Value 116125 Frequency
1 1 hour 10
90 F: 90 and more 55
96 96 and more 134
0 NAV;NAP 17313
97 Refused 75
98 DK,cant say,varies too much 463
99 NA 1104
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
25215 18955 1 96

Valid range from 1 to 96

isco88 R: Occupation ILO,ISCO 1988 4-digit

Respondent occupation, using ISCO 1998 4-digit notation

Value 117124 Frequency
110 Armed forces 188
1000 Legislators, senior officials and managers 153
1100 Legislators and senior officials 14
1110 Legislators and senior government officials 16
1120 Senior government official 83
1130 Traditional chiefs+heads of villages 22
1140 Senior officials of special-interest organisations 1
1141 Senior officials of political party organisations 1
1142 Senior officials of employers´, workers´ and other economic- 4
1143 Senior officials of humanitarian and other special-interest 6
1200 Corporate managers 14
1210 Directors and chief executives 175
1220 Production and operations managers 82
1221 Production and operations managers in agriculture, hunting, 13
1222 Production and operations managers in manufacturing 73
1223 Production and operations managers in construction 36
1224 Production and operations managers in wholesale and retail t 32
1225 Production and operations managers in restaurants and hotels 35
1226 Production and operations managers in transport, storage and 25
1227 Production and operations managers in business services ente 20
1228 Production and operations managers in personal care, cleanin 9
1229 Production and operations managers not elsewhere classified 224
1230 Other specialists managers 86
1231 Finance and administration managers 85
1232 Personnel and industrial relations managers 34
1233 Sales and marketing managers 94
1234 Advertising and public relations managers 17
1235 Supply and distribution managers 30
1236 Computing services managers 24
1237 Research and development managers 30
1238 Other department managers nec 2
1239 Other specialist managers not elsewhere classified 121
1240 USA:Miscelaneous office supervisors 4
1250 H:Miscelaneous officers 0
1251 H:High-grade military officer 3
1252 H:Low-grade commissioned officer 4
1300 Managers of small enterprises 20
1310 Managers of small enterprises 371
1311 Managers of small enterprises in agriculture, hunting, fores 47
1312 Managers of small enterprises in manufacturing 57
1313 Managers of small enterprises in construction 64
1314 Managers of small enterprises in wholesale and retail trade 313
1315 Managers of small enterprises of restaurants and hotels 75
1316 Managers of small enterprises in transport, storage and comm 40
1317 Managers of small enterprises in business services enterpris 65
1318 Managers of small enterprises in personal care, cleaning and 17
1319 Managers of small enterprises not elsewhere classified 191
2000 Professionals 184
2100 Physical, mathematical and engineering science professionals 28
2110 Physicists, chemists and related professionals 11
2111 Physicists and astronomers 10
2112 Meteorologists 1
2113 Chemists 20
2114 Geologists and geophysicists 17
2120 Mathematicians, statisticians and related professionals 3
2121 Mathematicians and related professionals 2
2122 Statisticians 9
2130 Computing professionals 166
2131 Computer systems designers, analysts and programmers 96
2139 Computing professionals not elsewhere classified 31
2140 Architects, engineers and related professionals 170
2141 Architects, town and traffic planners 56
2142 Civil engineers 100
2143 Electrical engineers 58
2144 Electronics and telecommunications engineers 34
2145 Mechanical engineers 60
2146 Chemical engineers 27
2147 Mining engineers, metallurgists and related professionals 12
2148 Cartographers and surveyors 13
2149 Architects, engineers and related professionals not elsewh 101
2200 Life science and health professionals 2
2210 Life science professionals 11
2211 Biologists, botanists, zoologists and related professionals 26
2212 Pharmacologists, pathologists and related professionals 13
2213 Agronomists and related professionals 28
2220 Health professionals (except nursing) 46
2221 Medical doctors 157
2222 Dentists 36
2223 Veterinarians 22
2224 Pharmacists 46
2229 Health professionals (except nursing) not elsewhere classifi 16
2230 Nursing and midwifery professionals 227
2300 Teaching professionals 76
2310 College, university and higher education teaching profession 165
2320 Secondary education teaching professionals 596
2330 Primary and pre-primary education teaching professionals 125
2331 Primary education teaching professionals 378
2332 Pre-primary education teaching professionals 99
2340 Special education teaching professionals 78
2350 Other teaching professionals 24
2351 Education methods specialists 10
2352 School inspectors 12
2359 Other teaching professionals not elsewhere classified 87
2400 Other professionals 16
2410 Business professionals 70
2411 Accountants 272
2412 Personnel and careers professionals 46
2419 Business professionals not elsewhere classified 146
2420 Legal professionals 21
2421 Lawyers 85
2422 Judges 8
2429 Legal professionals not elswhere classified 39
2430 Archivists, librarians and related information professionals 21
2431 Archivists and curators 8
2432 Librarians and related information professionals 41
2440 Social science and related professionals 31
2441 Economists 129
2442 Sociologists, anthropologists and related professionals 11
2443 Philosophers, historians and political scientists 7
2444 Philologists, translators and interpreters 33
2445 Psychologists 43
2446 Social work professionals 100
2450 Writers and creative or performing artists 41
2451 Authors, journalists and other writers 86
2452 Sculptors, painters and related artists 43
2453 Composers, musicians and singers 15
2454 Choreographers and dancers 11
2455 Film, stage and related actors and directors 20
2460 Religious professionals 54
2470 Public service administrative professionals 27
3000 Technicians and associate professionals 100
3100 Physical and engineering science associate professionals 51
3110 Physical and engineering science technicians 137
3111 Chemical and physical science technicians 36
3112 Civil engineering technicians 87
3113 Electrical engineering technicians 76
3114 Electronics and telecommunications engineering technicians 86
3115 Mechanical engineering technicians 68
3116 Chemical engineering technicians 34
3117 Mining and metallurgical technicians 11
3118 Draughtspersons 47
3119 Physical and engineering science technicians not elsewhere c 80
3120 Computer associate professionals 45
3121 Computer assistants 55
3122 Computer equipment operators 29
3123 Industrial robot controllers 6
3130 Optical and electronic equipment operators 6
3131 Photographers and image and sound recording equipment operat 20
3132 Broadcasting and telecommunications equipment operators 15
3133 Medical equipment operators 26
3139 Optical and electronic equipment operators not elsewhere cla 8
3140 Ship and aircraft controllers and technicians 17
3141 Ships´ engineers 7
3142 Ships´ deck officers and pilots 16
3143 Aircraft pilots and related associate professionals 10
3144 Air traffic controllers 4
3145 Air traffic safety technicians 6
3150 Safety and quality inspectors 18
3151 Building and fire inspectors 12
3152 Safety, health and quality inspectors 72
3200 Life science and health associate professionals 11
3210 Life science technicians and related associate professional 21
3211 Life science technicians 65
3212 Agronomy and forestry technicians 14
3213 Farming and forestry advisers 9
3220 Health associate professionals (except nursing) 45
3221 Medical assistants 80
3222 Hygienists, health and environmental officers 5
3223 Dieticians and nutritionists 15
3224 Optometrists and opticians 16
3225 Dental assistants 32
3226 Physiotherapists and related associate professionals 55
3227 Veterinary assistants 7
3228 Pharmaceutical assistants 25
3229 Health associate professionals (except nursing) not elsewher 58
3230 Nursing and midwifery associate professionals 69
3231 Nursing associate professionals 300
3232 Midwifery associate professionals 19
3300 Teaching associate professionals 8
3310 Primary education teaching associate professionals 195
3320 Pre-primary education teaching associate professionals 140
3330 Special education teaching associate professionals 24
3340 Other teaching associate professionals 176
3400 Other associate professionals 38
3410 Finance and sales associate professionals 144
3411 Securities and finance dealers and brokers 55
3412 Insurance representatives 85
3413 Estate agents 61
3414 Travel consultants and organisers 14
3415 Technical and commercial sales representatives 256
3416 Buyers 49
3417 Appraisers, valuers and auctioneers 21
3419 Finance and sales associate professionals not elsewhere clas 130
3420 Business services agents and trade brokers 33
3421 Trade brokers 43
3422 Clearing and forwarding agents 31
3423 Employment agents and labour contractors 39
3429 Business services agents and trade brokers not elsewhere cla 49
3430 Administrative associate professionals 363
3431 Administrative secretaries and related associate professiona 133
3432 Legal and related business associate professionals 52
3433 Bookkeepers 223
3434 Statistical, mathematical and related associate professional 13
3440 Customs, tax and related government associate professionals 31
3441 Customs and border inspectors 20
3442 Government tax and excise officials 18
3443 Government social benefits officials 23
3444 Government licensing officials 17
3449 Customs, tax and related government associate professionals 30
3450 Police inspectors and detectives 83
3460 Social work associate professionals 137
3470 Artistic, entertainment and sports associate professionals 123
3471 Decorators and commercial designers 102
3472 Radio, television and other announcers 12
3473 Street, night-club and related musicians, singers and dancer 20
3474 Clowns, magicians, acrobats and related associate profession 7
3475 Athletes, sports persons and related associate professionals 32
3480 Religious associate professionals 27
4000 Clerks 159
4100 Office clerks 191
4110 Secretaries and keyboard-operating clerks 150
4111 Stenographers and typists 51
4112 Word-processor and related operators 43
4113 Data entry operators 45
4114 Calculating-machine operators 44
4115 Secretaries 539
4120 Numerical clerks 61
4121 Accounting and book-keeping clerks 394
4122 Statistical and finance clerks 104
4130 Material-recording and transport clerks 40
4131 Stock clerks 219
4132 Production clerks 56
4133 Transport clerks 98
4140 Library, mail and related clerks 44
4141 Library and filing clerks 67
4142 Mail carriers and sorting clerks 115
4143 Coding, proof-reading and related clerks 8
4144 Scribes and related workers 14
4190 Other office clerks 620
4200 Customer services clerks 20
4210 Cashiers, tellers and related clerks 67
4211 Cashiers and ticket clerks 136
4212 Tellers and other counter clerks 136
4213 Bookmakers and croupiers 7
4214 Pawnbrokers and money-lenders 5
4215 Debt-collectors and related workers 12
4220 Client information clerks 32
4221 Travel agency and related clerks 31
4222 Receptionists and information clerks 216
4223 Telephone switchboard operators 74
5000 Service workers and shop and market sales workers 93
5100 Personal and protective services workers 23
5110 Travel attendants and related workers 18
5111 Travel attendants and travel stewards 28
5112 Transport conductors 31
5113 Travel guides 9
5120 Housekeeping and restaurant services workers 125
5121 Housekeepers and related workers 129
5122 Cooks 385
5123 Waiters, waitresses and bartenders 328
5130 Personal care and related workers 220
5131 Child-care workers 202
5132 Institution-based personal care workers 294
5133 Home-based personal care workers 97
5139 Personal care and related workers not elsewhere classified 75
5140 Other personal services workers 23
5141 Hairdressers, barbers, beauticians and related workers 229
5142 Companions and valets 24
5143 Undertakers and embalmers 8
5149 Other personal services workers not elsewhere classified 82
5160 Protective services workers 31
5161 Fire-fighters 39
5162 Police officers 117
5163 Prison guards 18
5169 Protective services workers not elsewhere classified 106
5200 Models, salespersons and demonstrators 144
5210 Fashion and other models 13
5220 Shop, stall and market salespersons and demonstrators 1713
6000 Skilled agricultural and fishery workers 90
6100 Skilled agricultural and fishery workers 43
6110 Market gardeners and crop growers 309
6111 Field crop and vegetable growers 202
6112 Gardeners, horticultural and nursery growers 54
6120 Animal producers and related workers 27
6121 Dairy and livestock producers 168
6122 Poultry producers 15
6129 Animal producers and related workers not elsewhere classifie 21
6130 Crop and animal producers 297
6140 Forestry and related workers 15
6141 Forestry workers and loggers 34
6142 Charcoal burners and related workers 0
6150 Fishery workers, hunters and trappers 9
6151 Aquatic life cultivation workers 7
6152 Inland and coastal waters fishery workers 17
6153 Deep-sea fishery workers 8
6154 Hunters and trappers 7
7000 Craft and related trades workers 287
7100 Extraction and building trades workers 5
7110 Miners, shotfirers, stone cutters and carvers 15
7111 Miners and quarry workers 58
7112 Shotfirers and blasters 2
7113 Stone splitters, cutters and carvers 10
7120 Building frame and related trades workers 74
7121 Builders 82
7122 Bricklayers and stonemasons 214
7123 Concrete placers, concrete finishers and related workers 42
7124 Carpenters and joiners 220
7129 Building frame and related trades workers not elsewhere clas 105
7130 Building finishers and related trades workers 31
7131 Roofers 19
7132 Floor layers and tile setters 42
7133 Plasterers 50
7134 Insulation workers 14
7135 Glaziers 15
7136 Plumbers and pipe fitters 141
7137 Building and related electricians 118
7139 Building finishers and related trade workers not elsewhere c 2
7140 Painters, building structure cleaners and related trades wor 22
7141 Painters and related workers 132
7143 Building structure cleaners 9
7200 Metal, machinery and related trades workers 20
7210 Metal moulders, welders, sheet-metal workers, structural-met 49
7211 Metal moulders and coremakers 21
7212 Welders and flame cutters 121
7213 Sheet-metal workers 48
7214 Structural-metal preparers and erectors 51
7215 Riggers and cable splicers 4
7216 Underwater workers 3
7220 Blacksmiths, tool-makers and related trades workers 36
7221 Blacksmiths, hammer-smiths and forging-press workers 33
7222 Tool-makers and related workers 174
7223 Machine-tool setters and setter-operators 75
7224 Metal wheel-grinders, polishers and tool sharpeners 49
7230 Machinery mechanics and fitters 92
7231 Motor vehicle mechanics and fitters 268
7232 Aircraft engine mechanics and fitters 17
7233 Agricultural- or industrial-machinery mechanics and fitters 112
7240 Electrical and electronic equipment mechanics and fitters 130
7241 Electrical mechanics fitters and services 149
7242 Electronics mechanics, fitters and servicers 29
7244 Telegraph and telephone installers and servicers 23
7245 Electrical line installers, repairers and cable jointers 26
7300 Precision, handicraft, craft printing and related trades wor 3
7310 Precision workers in metal and related materials 14
7311 Precision-instrument makers and repairers 34
7312 Musical-instrument makers and tuners 5
7313 Jewellery and precious-metal workers 22
7320 Potters, glass-makers and related trades workers 7
7321 Abrasive wheel formers, potters and related workers 12
7322 Glass-makers, cutters, grinders and finishers 15
7323 Glass engravers and etchers 5
7324 Glass, ceramics and related decorative painters 13
7330 Handicraft workers in wood, textile, leather and related mat 8
7331 Handicraft workers in wood and related materials 14
7332 Handicraft workers in textile, leather and related materials 12
7340 Craft printing and related trades workers 16
7341 Compositors, typesetters and related workers 41
7342 Stereotypers and electrotypers 5
7343 Printing engravers and etchers 10
7344 Photographic and related workers 9
7345 Bookbinders and related workers 15
7346 Silk-screen, block and craft textile printers 6
7400 Other craft and related trades workers 15
7410 Food processing and related trades workers 22
7411 Butchers, fishmongers and related food preparers 76
7412 Bakers, pastry-cooks and confectionery makers 123
7413 Dairy-products workers 9
7414 Fruit, vegetable and related preservers 8
7415 Food and beverage tasters and graders 11
7416 Tobacco preparers and tobacco products makers 1
7420 Wood treaters, cabinet-makers and related trades workers 25
7421 Wood treaters 19
7422 Cabinetmakers and related workers 116
7423 Woodworking machine setters and setter-operators 15
7424 Basketry weavers, brush makers and related workers 3
7430 Textile, garment and related trades workers 55
7431 Fibre preparers 13
7432 Weavers, knitters and related workers 40
7433 Tailors, dressmakers and hatters 187
7434 Furriers and related workers 12
7435 Textile, leather and related pattern-makers and cutters 20
7436 Sewers, embroiderers and related workers 142
7437 Upholsterers and related workers 16
7440 Pelt, leather and shoemaking trades workers 23
7441 Pelt dressers, tanners and fellmongers 7
7442 Shoe-makers and related workers 96
8000 Plant and machine operators and assemblers 72
8100 Stationary plant and related operators 12
8110 Mining and mineral-processing-plant operators 4
8111 Mining plant operators 15
8112 Mineral-ore and stone-processing-plant operators 7
8113 Well drillers and borers and related workers 5
8120 Metal-processing plant operators 10
8121 Ore and metal furnace operators 10
8122 Metal melters, casters and rolling-mill operators 13
8123 Metal heat-treating-plant operators 10
8124 Metal drawers and extruders 6
8130 Glass, ceramics and related plant operators 5
8131 Glass and ceramics kiln and related machine operators 11
8139 Glass, ceramics and related plant operators not elsewhere cl 8
8140 Wood-processing- and papermaking-plant operators 14
8141 Wood-processing-plant operators 24
8142 Paper-pulp plant operators 4
8143 Papermaking-plant operators 8
8150 Chemical-processing-plant operators 15
8151 Crushing-, grinding- and chemical-mixing-machinery operators 4
8152 Chemical-heat-treating-plant operators 6
8153 Chemical-filtering- and separating-equipment operators 1
8154 Chemical-still and reactor operators (except petroleum and n 4
8155 Petroleum- and natural-gas-refining-plant operators 6
8159 Chemical-processing-plant operators not elsewhere classified 11
8160 Power-production and related plant operators 9
8161 Power-production plant operators 7
8162 Steam-engine and boiler operators 28
8163 Incinerator, water-treatment and related plant operators 14
8170 Industrial robot operators 36
8200 Machine operators and assemblers 12
8210 Metal- and mineral-products machine operators 10
8211 Machine-tool operators 117
8212 Cement and other mineral products machine operators 17
8220 Chemical-products machine operators 2
8221 Pharmaceutical-and toiletry-products machine operators 14
8222 Ammunition- and explosive-products machine operators 0
8223 Metal finishing-, plating- and coating-machine operators 12
8224 Photographic-products machine operators 2
8229 Chemical-products machine operators not elsewhere classified 15
8230 Rubber- and plastic-products machine operators 5
8231 Rubber-products machine operators 17
8232 Plastic-products machine operators 47
8240 Wood-products machine operators 21
8250 Printing-, binding- and paper-products machine operators 6
8251 Printing-machine operators 24
8252 Book-binding-machine operators 1
8253 Paper-products machine operators 16
8260 Textile-, fur- and leather-products machine operators 23
8261 Fibre-preparing-, spinning- and winding-machine operators 33
8262 Weaving- and knitting-machine operators 48
8263 Sewing-machine operators 87
8264 Bleaching-, dyeing- and cleaning-machine operators 22
8265 Fur- and leather-preparing-machine operators 1
8266 Shoemaking- and related machine operators 15
8269 Textile-, fur- and leather-products machine operators not el 12
8270 Food and related products machine operators 30
8271 Meat- and fish-processing-machine operators 36
8272 Dairy-products machine operators 6
8273 Grain- and spice-milling-machine operators 8
8274 Baked-goods, cereal- and chocolate-products machine operator 21
8275 Fruit-, vegetable- and nut-processing-machine operators 6
8276 Sugar production machine operators 2
8277 Tea-, coffee- and cocoa-processing-machine operators 2
8278 Brewers, wine and other beverage machine operators 10
8279 Tobacco production machine operators 4
8280 Assemblers 43
8281 Mechanical-machinery assemblers 29
8282 Electrical-equipment assemblers 21
8283 Electronic-equipment assemblers 55
8284 Metal-, rubber- and plastic-products assemblers 27
8285 Wood and related products assemblers 8
8286 Paperboard, textile and related products assemblers 17
8287 Composite products assemblers 0
8290 Other machine operators not elsewhere classified 193
8300 Drivers and mobile plant operators 1
8310 Locomotive engine drivers and related workers 13
8311 Locomotive engine drivers 23
8312 Railway brakers, signallers and shunters 30
8320 Motor vehicle drivers 151
8321 Motorcycle drivers 25
8322 Car, taxi and van drivers 216
8323 Bus and tram drivers 120
8324 Heavy truck and lorry drivers 290
8330 Agricultural and other mobile plant operators 30
8331 Motorised farm and forestry plant operators 36
8332 Earth-moving and related plant operators 68
8333 Crane, hoist and related plant operators 60
8334 Lifting-truck operators 50
8340 Ships´ deck crews and related workers 60
9000 Elementary occupations 460
9100 Sales and services elementary occupations 142
9110 Street vendors and related workers 92
9111 Street vendors 33
9113 Door-to-door and telephone salespersons 29
9120 Shoe cleaning and other street services elementary occupatio 5
9130 Domestic and related helpers, cleaners and launderers 188
9131 Domestic helpers and cleaners 293
9132 Helpers and cleaners in offices, hotels and other establishm 568
9133 Hand-launderers and pressers 49
9140 Building caretakers, window and related cleaners 36
9141 Building caretakers 159
9142 Vehicle, window and related cleaners 19
9150 Messengers, porters, doorkeepers and related workers 59
9151 Messengers, package and luggage porters and deliverers 101
9152 Doorkeepers, watchpersons and related workers 185
9153 Vending-machine money collectors, meter readers and related 11
9160 Garbage collectors and related labourers 13
9161 Garbage collectors 20
9162 Sweepers and related labourers 54
9200 Agricultural, fishery and related labourers 24
9210 Agricultural, fishery and related labourers 69
9211 Farm-hands and labourers 270
9212 Forestry labourers 66
9213 Fishery, hunting and trapping labourers 12
9300 Labourers in mining, construction, manufacturing and transpo 67
9310 Mining and construction labourers 41
9311 Mining and quarrying labourers 7
9312 Construction and maintenance labourers: roads, dams and simi 95
9313 Building construction labourers 138
9320 Manufacturing labourers 526
9330 Transport labourers and freight handlers 270
9996 Not classified;inadequately described 322
0 NAP,NAV, No spouse, never had a job 8782
9997 Refused 271
9998 Dont know 114
9999 Na 626
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
34377 9793 110 9996

Valid range from 110 to 9996

wrktype R: Working for private,public sector, selfemployed

Private vs. public - Working for private versus public sector

Value 118123 Frequency
1 Work f government 7527
2 Public owned firm,nat.ind 3449
3 Private firm, others NZ: Doesnt work for gov or public owned 16850
4 Self employed 4947
5 BG: Cooperative firm 16
6 GB: Other, charity, voluntary sector 22
0 NAP,NAV,never had a job 10612
9 Na, dont know 747
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
32811 11359 1 6

Valid range from 1 to 6

nemploy R: Self-employed - number of employees

(If self employed) Do you have any employees, If so, how many? (exact number of employees).

Value 119122 Frequency
1 1 employee 632
2 2 employees 416
3 3 employees 231
4 4 employees 173
5 NIRL:<10 empl 123
6 6 employees 89
7 7 employees 54
8 8 employees 51
10 10 employees 76
11 11 employees 16
12 12 employees 34
15 15 employees 35
16 16 employees 9
17 NIRL:10-24 6
20 20 employees 28
30 30 employees 16
31 F:>30 empl 1
36 36 employees 3
65 65 employees 3
99 99 employees 6
100 100 employees 5
300 300 employees 4
500 500 employees 0
1000 1000 employees 1
0 NAV,NAP 38391
9995 No employee 2774
9997 Refused 68
9998 Dont know 36
9999 NA 643
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
2258 41912 1 1000

Valid range from 1 to 1000

wrksup R: Supervises others at work

R Supervises – Do you supervise others at work?

Value 120121 Frequency
1 Yes,supervises 9333
2 No,do n supervise 21479
7 Refused 40
0 NAV, NAP, never had a job 12259
8 Dont know 95
9 Na 964
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
30852 13318 1 7

Valid range from 1 to 7

union R: Trade union membership

Is respondent member of a trade union?

Value 121120 Frequency
1 Currently member 8069
2 Once member, not now FR:Not a member 9412
3 Never member 17690
0 NAP, NAV 7390
8 Dont know 144
9 Na, refused 1465
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
35171 8999 1 3

Valid range from 1 to 3

spwrkst S-P: Current employment status

Spouse / partner: current employment status, current economic position, main source of living.

Value 122119 Frequency
1 F-t empl,main job 13421
2 P-t empl,main job 1864
3 Less part-time,PL: Seasonal or commission work, odd jobs 497
4 Help family member 254
5 Unemployed 1304
6 Studt,school,educ 431
7 Retired 4715
8 Housewife,home duties 3104
9 Permanently disabled 402
10 Oth,not lab force 554
97 Refused 39
0 NAV;N mar;n spou/partn 16918
98 Dont know 5
99 NA 662
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
26585 17585 1 97

Valid range from 1 to 97

spisco88 S-P: Occupation ILO,ISCO 1988 4-digit

Spouse/partner occupation, using ISCO 1998 4-digit notation

Value 123118 Frequency
110 Armed forces 143
1000 Legislators, senior officials and managers 96
1100 Legislators and senior officials 19
1110 Legislators and senior government officials 11
1120 Senior government official 57
1130 Traditional chiefs+heads of villages 8
1140 Senior officials of special-interest organisations 0
1141 Senior officials of political party organisations 4
1142 Senior officials of employers´, workers´ and other economic- 1
1143 Senior officials of humanitarian and other special-interest 5
1200 Corporate managers 7
1210 Directors and chief executives 110
1220 Production and operations managers 71
1221 Production and operations managers in agriculture, hunting, 4
1222 Production and operations managers in manufacturing 47
1223 Production and operations managers in construction 35
1224 Production and operations managers in wholesale and retail t 26
1225 Production and operations managers in restaurants and hotels 19
1226 Production and operations managers in transport, storage and 18
1227 Production and operations managers in business services ente 19
1228 Production and operations managers in personal care, cleanin 8
1229 Production and operations managers not elsewhere classified 102
1230 Other specialists managers 61
1231 Finance and administration managers 49
1232 Personnel and industrial relations managers 24
1233 Sales and marketing managers 77
1234 Advertising and public relations managers 16
1235 Supply and distribution managers 22
1236 Computing services managers 22
1237 Research and development managers 22
1238 Other department managers nec 0
1239 Other specialist managers not elsewhere classified 90
1240 USA:Miscelaneous office supervisors 1
1250 H:Miscelaneous officers 0
1251 H:High-grade military officer 2
1252 H:Low-grade commissioned officer 3
1300 Managers of small enterprises 12
1310 Managers of small enterprises 233
1311 Managers of small enterprises in agriculture, hunting, fores 26
1312 Managers of small enterprises in manufacturing 42
1313 Managers of small enterprises in construction 55
1314 Managers of small enterprises in wholesale and retail trade 197
1315 Managers of small enterprises of restaurants and hotels 41
1316 Managers of small enterprises in transport, storage and comm 32
1317 Managers of small enterprises in business services enterpris 40
1318 Managers of small enterprises in personal care, cleaning and 10
1319 Managers of small enterprises not elsewhere classified 147
2000 Professionals 91
2100 Physical, mathematical and engineering science professionals 31
2110 Physicists, chemists and related professionals 8
2111 Physicists and astronomers 4
2112 Meteorologists 2
2113 Chemists 21
2114 Geologists and geophysicists 3
2120 Mathematicians, statisticians and related professionals 8
2121 Mathematicians and related professionals 4
2122 Statisticians 3
2130 Computing professionals 76
2131 Computer systems designers, analysts and programmers 55
2139 Computing professionals not elsewhere classified 18
2140 Architects, engineers and related professionals 131
2141 Architects, town and traffic planners 45
2142 Civil engineers 61
2143 Electrical engineers 43
2144 Electronics and telecommunications engineers 33
2145 Mechanical engineers 41
2146 Chemical engineers 9
2147 Mining engineers, metallurgists and related professionals 18
2148 Cartographers and surveyors 14
2149 Architects, engineers and related professionals not elsewh 61
2200 Life science and health professionals 0
2210 Life science professionals 9
2211 Biologists, botanists, zoologists and related professionals 18
2212 Pharmacologists, pathologists and related professionals 10
2213 Agronomists and related professionals 19
2220 Health professionals (except nursing) 36
2221 Medical doctors 125
2222 Dentists 26
2223 Veterinarians 14
2224 Pharmacists 22
2229 Health professionals (except nursing) not elsewhere classifi 13
2230 Nursing and midwifery professionals 181
2300 Teaching professionals 61
2310 College, university and higher education teaching profession 93
2320 Secondary education teaching professionals 371
2330 Primary and pre-primary education teaching professionals 64
2331 Primary education teaching professionals 235
2332 Pre-primary education teaching professionals 60
2340 Special education teaching professionals 35
2350 Other teaching professionals 12
2351 Education methods specialists 4
2352 School inspectors 4
2359 Other teaching professionals not elsewhere classified 35
2400 Other professionals 10
2410 Business professionals 65
2411 Accountants 164
2412 Personnel and careers professionals 34
2419 Business professionals not elsewhere classified 75
2420 Legal professionals 14
2421 Lawyers 59
2422 Judges 8
2429 Legal professionals not elswhere classified 19
2430 Archivists, librarians and related information professionals 6
2431 Archivists and curators 5
2432 Librarians and related information professionals 18
2440 Social science and related professionals 22
2441 Economists 55
2442 Sociologists, anthropologists and related professionals 10
2443 Philosophers, historians and political scientists 1
2444 Philologists, translators and interpreters 8
2445 Psychologists 25
2446 Social work professionals 38
2450 Writers and creative or performing artists 31
2451 Authors, journalists and other writers 51
2452 Sculptors, painters and related artists 21
2453 Composers, musicians and singers 15
2454 Choreographers and dancers 1
2455 Film, stage and related actors and directors 14
2460 Religious professionals 23
2470 Public service administrative professionals 29
3000 Technicians and associate professionals 71
3100 Physical and engineering science associate professionals 34
3110 Physical and engineering science technicians 93
3111 Chemical and physical science technicians 23
3112 Civil engineering technicians 61
3113 Electrical engineering technicians 50
3114 Electronics and telecommunications engineering technicians 66
3115 Mechanical engineering technicians 56
3116 Chemical engineering technicians 27
3117 Mining and metallurgical technicians 6
3118 Draughtspersons 22
3119 Physical and engineering science technicians not elsewhere c 57
3120 Computer associate professionals 13
3121 Computer assistants 37
3122 Computer equipment operators 18
3123 Industrial robot controllers 5
3130 Optical and electronic equipment operators 1
3131 Photographers and image and sound recording equipment operat 25
3132 Broadcasting and telecommunications equipment operators 9
3133 Medical equipment operators 9
3139 Optical and electronic equipment operators not elsewhere cla 1
3140 Ship and aircraft controllers and technicians 9
3141 Ships´ engineers 8
3142 Ships´ deck officers and pilots 8
3143 Aircraft pilots and related associate professionals 12
3144 Air traffic controllers 4
3145 Air traffic safety technicians 1
3150 Safety and quality inspectors 12
3151 Building and fire inspectors 6
3152 Safety, health and quality inspectors 46
3200 Life science and health associate professionals 7
3210 Life science technicians and related associate professional 19
3211 Life science technicians 32
3212 Agronomy and forestry technicians 13
3213 Farming and forestry advisers 3
3220 Health associate professionals (except nursing) 26
3221 Medical assistants 39
3222 Hygienists, health and environmental officers 6
3223 Dieticians and nutritionists 9
3224 Optometrists and opticians 9
3225 Dental assistants 7
3226 Physiotherapists and related associate professionals 35
3227 Veterinary assistants 5
3228 Pharmaceutical assistants 13
3229 Health associate professionals (except nursing) not elsewher 21
3230 Nursing and midwifery associate professionals 57
3231 Nursing associate professionals 175
3232 Midwifery associate professionals 7
3300 Teaching associate professionals 4
3310 Primary education teaching associate professionals 137
3320 Pre-primary education teaching associate professionals 85
3330 Special education teaching associate professionals 11
3340 Other teaching associate professionals 74
3400 Other associate professionals 19
3410 Finance and sales associate professionals 77
3411 Securities and finance dealers and brokers 24
3412 Insurance representatives 44
3413 Estate agents 54
3414 Travel consultants and organisers 13
3415 Technical and commercial sales representatives 145
3416 Buyers 32
3417 Appraisers, valuers and auctioneers 18
3419 Finance and sales associate professionals not elsewhere clas 58
3420 Business services agents and trade brokers 20
3421 Trade brokers 36
3422 Clearing and forwarding agents 17
3423 Employment agents and labour contractors 15
3429 Business services agents and trade brokers not elsewhere cla 20
3430 Administrative associate professionals 205
3431 Administrative secretaries and related associate professiona 85
3432 Legal and related business associate professionals 36
3433 Bookkeepers 157
3434 Statistical, mathematical and related associate professional 7
3440 Customs, tax and related government associate professionals 32
3441 Customs and border inspectors 16
3442 Government tax and excise officials 6
3443 Government social benefits officials 9
3444 Government licensing officials 7
3449 Customs, tax and related government associate professionals 21
3450 Police inspectors and detectives 69
3460 Social work associate professionals 68
3470 Artistic, entertainment and sports associate professionals 86
3471 Decorators and commercial designers 39
3472 Radio, television and other announcers 3
3473 Street, night-club and related musicians, singers and dancer 12
3474 Clowns, magicians, acrobats and related associate profession 2
3475 Athletes, sports persons and related associate professionals 19
3480 Religious associate professionals 8
4000 Clerks 100
4100 Office clerks 95
4110 Secretaries and keyboard-operating clerks 99
4111 Stenographers and typists 30
4112 Word-processor and related operators 26
4113 Data entry operators 19
4114 Calculating-machine operators 19
4115 Secretaries 300
4120 Numerical clerks 34
4121 Accounting and book-keeping clerks 206
4122 Statistical and finance clerks 58
4130 Material-recording and transport clerks 29
4131 Stock clerks 140
4132 Production clerks 41
4133 Transport clerks 61
4140 Library, mail and related clerks 23
4141 Library and filing clerks 28
4142 Mail carriers and sorting clerks 65
4143 Coding, proof-reading and related clerks 5
4144 Scribes and related workers 8
4190 Other office clerks 395
4200 Customer services clerks 12
4210 Cashiers, tellers and related clerks 49
4211 Cashiers and ticket clerks 59
4212 Tellers and other counter clerks 88
4213 Bookmakers and croupiers 4
4214 Pawnbrokers and money-lenders 2
4215 Debt-collectors and related workers 7
4220 Client information clerks 15
4221 Travel agency and related clerks 7
4222 Receptionists and information clerks 87
4223 Telephone switchboard operators 22
5000 Service workers and shop and market sales workers 82
5100 Personal and protective services workers 12
5110 Travel attendants and related workers 5
5111 Travel attendants and travel stewards 12
5112 Transport conductors 17
5113 Travel guides 7
5120 Housekeeping and restaurant services workers 87
5121 Housekeepers and related workers 53
5122 Cooks 231
5123 Waiters, waitresses and bartenders 149
5130 Personal care and related workers 172
5131 Child-care workers 93
5132 Institution-based personal care workers 153
5133 Home-based personal care workers 39
5139 Personal care and related workers not elsewhere classified 50
5140 Other personal services workers 21
5141 Hairdressers, barbers, beauticians and related workers 114
5142 Companions and valets 6
5143 Undertakers and embalmers 1
5149 Other personal services workers not elsewhere classified 27
5160 Protective services workers 19
5161 Fire-fighters 27
5162 Police officers 112
5163 Prison guards 17
5169 Protective services workers not elsewhere classified 83
5200 Models, salespersons and demonstrators 108
5210 Fashion and other models 15
5220 Shop, stall and market salespersons and demonstrators 923
6000 Skilled agricultural and fishery workers 78
6100 Skilled agricultural and fishery workers 64
6110 Market gardeners and crop growers 219
6111 Field crop and vegetable growers 148
6112 Gardeners, horticultural and nursery growers 47
6120 Animal producers and related workers 20
6121 Dairy and livestock producers 109
6122 Poultry producers 9
6129 Animal producers and related workers not elsewhere classifie 14
6130 Crop and animal producers 220
6140 Forestry and related workers 6
6141 Forestry workers and loggers 23
6142 Charcoal burners and related workers 0
6150 Fishery workers, hunters and trappers 12
6151 Aquatic life cultivation workers 3
6152 Inland and coastal waters fishery workers 14
6153 Deep-sea fishery workers 5
6154 Hunters and trappers 2
7000 Craft and related trades workers 237
7100 Extraction and building trades workers 2
7110 Miners, shotfirers, stone cutters and carvers 13
7111 Miners and quarry workers 70
7112 Shotfirers and blasters 2
7113 Stone splitters, cutters and carvers 7
7120 Building frame and related trades workers 76
7121 Builders 52
7122 Bricklayers and stonemasons 164
7123 Concrete placers, concrete finishers and related workers 24
7124 Carpenters and joiners 163
7129 Building frame and related trades workers not elsewhere clas 73
7130 Building finishers and related trades workers 36
7131 Roofers 25
7132 Floor layers and tile setters 40
7133 Plasterers 49
7134 Insulation workers 13
7135 Glaziers 11
7136 Plumbers and pipe fitters 100
7137 Building and related electricians 80
7139 Building finishers and related trade workers not elsewhere c 2
7140 Painters, building structure cleaners and related trades wor 24
7141 Painters and related workers 87
7143 Building structure cleaners 4
7200 Metal, machinery and related trades workers 14
7210 Metal moulders, welders, sheet-metal workers, structural-met 35
7211 Metal moulders and coremakers 19
7212 Welders and flame cutters 99
7213 Sheet-metal workers 28
7214 Structural-metal preparers and erectors 42
7215 Riggers and cable splicers 4
7216 Underwater workers 3
7220 Blacksmiths, tool-makers and related trades workers 35
7221 Blacksmiths, hammer-smiths and forging-press workers 32
7222 Tool-makers and related workers 126
7223 Machine-tool setters and setter-operators 67
7224 Metal wheel-grinders, polishers and tool sharpeners 32
7230 Machinery mechanics and fitters 67
7231 Motor vehicle mechanics and fitters 192
7232 Aircraft engine mechanics and fitters 14
7233 Agricultural- or industrial-machinery mechanics and fitters 71
7240 Electrical and electronic equipment mechanics and fitters 57
7241 Electrical mechanics fitters and services 109
7242 Electronics mechanics, fitters and servicers 14
7244 Telegraph and telephone installers and servicers 21
7245 Electrical line installers, repairers and cable jointers 31
7300 Precision, handicraft, craft printing and related trades wor 3
7310 Precision workers in metal and related materials 3
7311 Precision-instrument makers and repairers 22
7312 Musical-instrument makers and tuners 3
7313 Jewellery and precious-metal workers 8
7320 Potters, glass-makers and related trades workers 4
7321 Abrasive wheel formers, potters and related workers 6
7322 Glass-makers, cutters, grinders and finishers 6
7323 Glass engravers and etchers 3
7324 Glass, ceramics and related decorative painters 6
7330 Handicraft workers in wood, textile, leather and related mat 9
7331 Handicraft workers in wood and related materials 8
7332 Handicraft workers in textile, leather and related materials 12
7340 Craft printing and related trades workers 6
7341 Compositors, typesetters and related workers 25
7342 Stereotypers and electrotypers 6
7343 Printing engravers and etchers 4
7344 Photographic and related workers 2
7345 Bookbinders and related workers 5
7346 Silk-screen, block and craft textile printers 9
7400 Other craft and related trades workers 7
7410 Food processing and related trades workers 22
7411 Butchers, fishmongers and related food preparers 47
7412 Bakers, pastry-cooks and confectionery makers 62
7413 Dairy-products workers 6
7414 Fruit, vegetable and related preservers 4
7415 Food and beverage tasters and graders 6
7416 Tobacco preparers and tobacco products makers 3
7420 Wood treaters, cabinet-makers and related trades workers 14
7421 Wood treaters 11
7422 Cabinetmakers and related workers 72
7423 Woodworking machine setters and setter-operators 8
7424 Basketry weavers, brush makers and related workers 3
7430 Textile, garment and related trades workers 41
7431 Fibre preparers 7
7432 Weavers, knitters and related workers 18
7433 Tailors, dressmakers and hatters 86
7434 Furriers and related workers 2
7435 Textile, leather and related pattern-makers and cutters 9
7436 Sewers, embroiderers and related workers 72
7437 Upholsterers and related workers 13
7440 Pelt, leather and shoemaking trades workers 5
7441 Pelt dressers, tanners and fellmongers 3
7442 Shoe-makers and related workers 61
8000 Plant and machine operators and assemblers 97
8100 Stationary plant and related operators 8
8110 Mining and mineral-processing-plant operators 2
8111 Mining plant operators 6
8112 Mineral-ore and stone-processing-plant operators 8
8113 Well drillers and borers and related workers 7
8120 Metal-processing plant operators 6
8121 Ore and metal furnace operators 7
8122 Metal melters, casters and rolling-mill operators 9
8123 Metal heat-treating-plant operators 5
8124 Metal drawers and extruders 4
8130 Glass, ceramics and related plant operators 2
8131 Glass and ceramics kiln and related machine operators 5
8139 Glass, ceramics and related plant operators not elsewhere cl 4
8140 Wood-processing- and papermaking-plant operators 11
8141 Wood-processing-plant operators 15
8142 Paper-pulp plant operators 6
8143 Papermaking-plant operators 9
8150 Chemical-processing-plant operators 5
8151 Crushing-, grinding- and chemical-mixing-machinery operators 1
8152 Chemical-heat-treating-plant operators 0
8153 Chemical-filtering- and separating-equipment operators 2
8154 Chemical-still and reactor operators (except petroleum and n 1
8155 Petroleum- and natural-gas-refining-plant operators 8
8159 Chemical-processing-plant operators not elsewhere classified 4
8160 Power-production and related plant operators 6
8161 Power-production plant operators 5
8162 Steam-engine and boiler operators 15
8163 Incinerator, water-treatment and related plant operators 9
8170 Industrial robot operators 15
8200 Machine operators and assemblers 11
8210 Metal- and mineral-products machine operators 10
8211 Machine-tool operators 55
8212 Cement and other mineral products machine operators 14
8220 Chemical-products machine operators 3
8221 Pharmaceutical-and toiletry-products machine operators 10
8222 Ammunition- and explosive-products machine operators 2
8223 Metal finishing-, plating- and coating-machine operators 7
8224 Photographic-products machine operators 3
8229 Chemical-products machine operators not elsewhere classified 6
8230 Rubber- and plastic-products machine operators 1
8231 Rubber-products machine operators 13
8232 Plastic-products machine operators 26
8240 Wood-products machine operators 12
8250 Printing-, binding- and paper-products machine operators 6
8251 Printing-machine operators 7
8252 Book-binding-machine operators 1
8253 Paper-products machine operators 8
8260 Textile-, fur- and leather-products machine operators 13
8261 Fibre-preparing-, spinning- and winding-machine operators 15
8262 Weaving- and knitting-machine operators 23
8263 Sewing-machine operators 32
8264 Bleaching-, dyeing- and cleaning-machine operators 14
8265 Fur- and leather-preparing-machine operators 0
8266 Shoemaking- and related machine operators 12
8269 Textile-, fur- and leather-products machine operators not el 6
8270 Food and related products machine operators 24
8271 Meat- and fish-processing-machine operators 19
8272 Dairy-products machine operators 4
8273 Grain- and spice-milling-machine operators 8
8274 Baked-goods, cereal- and chocolate-products machine operator 11
8275 Fruit-, vegetable- and nut-processing-machine operators 4
8276 Sugar production machine operators 0
8277 Tea-, coffee- and cocoa-processing-machine operators 0
8278 Brewers, wine and other beverage machine operators 12
8279 Tobacco production machine operators 2
8280 Assemblers 29
8281 Mechanical-machinery assemblers 20
8282 Electrical-equipment assemblers 6
8283 Electronic-equipment assemblers 41
8284 Metal-, rubber- and plastic-products assemblers 16
8285 Wood and related products assemblers 8
8286 Paperboard, textile and related products assemblers 20
8287 Composite products assemblers 1
8290 Other machine operators not elsewhere classified 128
8300 Drivers and mobile plant operators 5
8310 Locomotive engine drivers and related workers 6
8311 Locomotive engine drivers 21
8312 Railway brakers, signallers and shunters 10
8320 Motor vehicle drivers 181
8321 Motorcycle drivers 21
8322 Car, taxi and van drivers 204
8323 Bus and tram drivers 121
8324 Heavy truck and lorry drivers 259
8330 Agricultural and other mobile plant operators 29
8331 Motorised farm and forestry plant operators 50
8332 Earth-moving and related plant operators 54
8333 Crane, hoist and related plant operators 37
8334 Lifting-truck operators 26
8340 Ships´ deck crews and related workers 59
9000 Elementary occupations 437
9100 Sales and services elementary occupations 122
9110 Street vendors and related workers 50
9111 Street vendors 12
9113 Door-to-door and telephone salespersons 10
9120 Shoe cleaning and other street services elementary occupatio 3
9130 Domestic and related helpers, cleaners and launderers 99
9131 Domestic helpers and cleaners 142
9132 Helpers and cleaners in offices, hotels and other establishm 284
9133 Hand-launderers and pressers 25
9140 Building caretakers, window and related cleaners 36
9141 Building caretakers 108
9142 Vehicle, window and related cleaners 8
9150 Messengers, porters, doorkeepers and related workers 55
9151 Messengers, package and luggage porters and deliverers 48
9152 Doorkeepers, watchpersons and related workers 105
9153 Vending-machine money collectors, meter readers and related 5
9160 Garbage collectors and related labourers 6
9161 Garbage collectors 15
9162 Sweepers and related labourers 28
9200 Agricultural, fishery and related labourers 23
9210 Agricultural, fishery and related labourers 55
9211 Farm-hands and labourers 159
9212 Forestry labourers 20
9213 Fishery, hunting and trapping labourers 18
9300 Labourers in mining, construction, manufacturing and transpo 42
9310 Mining and construction labourers 23
9311 Mining and quarrying labourers 6
9312 Construction and maintenance labourers: roads, dams and simi 65
9313 Building construction labourers 100
9320 Manufacturing labourers 299
9330 Transport labourers and freight handlers 177
9996 Not classified;inadequately described 241
0 NAP,NAV, No spouse, never had a job 20372
9997 Refused 236
9998 Dont know 709
9999 Na 895
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
21958 22212 110 9996

Valid range from 110 to 9996

spwrktyp S-P:Working for private,public sector,self-employed.

Spouse-Partner: Private vs. public - Working for private versus public sector.

Value 124117 Frequency
1 Work f government 4071
2 Public owned firm,nat.ind 1909
3 Private firm, others NZ: Doesnt work for gov or public owned 9203
4 Self employed 3197
5 BG: Cooperative firm 0
6 GB: Other, charity, voluntary sector 1
0 NAP,NAV,never had a job 24645
9 Na, dont know 1144
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
18381 25789 1 6

Valid range from 1 to 6

rincome R: Earnings

Respondent earnings in [Country] currency

Value 125116 Frequency
0 NAV, No own income,no paid work 7405
99999997 Refused 1347
99999998 Dont know 763
99999999 NA 3479
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
31176 12994 1 6000000 44197.138 138139.76

Valid range from 1 to 6000000

income Family income

Family income in [Country] currency

Value 126115 Frequency
0 NAV, No own income,no paid work 1178
99999997 Refused 1449
99999998 Dont know 1624
99999999 NA 3579
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
36340 7830 9 10000000 69215.723 209848.114

Valid range from 9 to 10000000

hompop How many persons in household

Number of people in household1.

Value 127114 Frequency
1 1 person 5943
2 2 persons, YV: 2 persons or more 12730
3 3 persons 7730
4 4 persons 8105
5 5 persons 3846
6 6 persons 1623
7 7 persons 727
8 8 persons, S: 8 persons or more 299
9 9 persons,E:9 or more persons 157
10 10 persons 94
12 12 persons 37
13 13 persons 25
24 24 persons 2
0 NAV 2483
99 NA, refused 301
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
41386 2784 1 98

Valid range from 1 to 98

hhcycle Household composition:children+adults

Household composition: number of adults and of children under 18 years)

Value 128113 Frequency
1 Single household 6068
2 1 adult,1 child 634
3 1 adult,2 child 410
4 1 adult,3 or > ch 185
5 2 adults 9750
6 2 adults,1 child 3305
7 2 adults,2 child 3665
8 2 adults,3 or > ch 2578
9 3 adults 3390
10 3 adults+children 3359
11 4 adults 1976
12 4 adults+ children 1915
13 5 adults,BG:Other 750
14 5 adults+children 754
15 6 adults 206
16 6 adults+children 304
17 7 adults 69
18 7 adults+children 115
19 8 adults 16
20 8 adults+children 61
21 9 adults 3
22 9 adults+children 22
23 10 adults 1
24 10 adults+children 13
25 11 adults 2
26 11 adults+children 4
27 12 adults 2
28 12 adults+children 2
95 Otherwise 50
0 NAV 3576
99 Na,refused 985
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
39609 4561 1 95

Valid range from 1 to 95

party_lr R: Party affiliation: left-right (der.)

Party preference or vote intention, coded to left-right position

Value 129112 Frequency
1 Far left etc 1564
2 Left,center left 7467
3 Center,liberal 5871
4 Right,conservative 7550
5 Far right etc 849
6 Other,no specific 653
7 No party,no preference 5610
0 NAV; NAP 7993
8 Dont know 3526
9 No answer,refused 3087
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
29564 14606 1 7

Valid range from 1 to 7

at_prty R: Party affiliation: Austria

R's voting intention in national elections (Country specific)

Value 130111 Frequency
1 SPOE (Soc-Democr) 238
2 OEVP (Cons) 216
3 FPOE (Liberal) 62
4 GRUENE (Green) 80
95 Other party 5
96 Would not vote 93
97 Refused 29
0 NAV 43229
99 NA 218
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
723 43447 1 97

Valid range from 1 to 97

au_prty R: Party affiliation: Australia

R's voting intention in national elections (Country specific)

Value 131110 Frequency
1 Liberal Party 691
2 Labour Party 750
3 National Party 60
4 Democrats 53
5 Greens 107
6 One nation 41
95 Other Party 4
96 None 434
0 NAV 41987
99 NA, refused 43
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
2140 42030 1 96

Valid range from 1 to 96

bg_prty R: Party affiliation: Bulgaria

R's voting intention in national elections (Country specific)

Value 132109 Frequency
1 Far left etc 0
2 Left, center left 0
3 Centar, liberal 0
4 Right, conservative 0
5 Far right etc 0
6 Other, no specific 0
7 No party, no preference 0
8 Dont know 0
0 NAV;NAP 44170
9 No answer, refused 0
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
0 44170

Valid range from 1 to 8

ca_prty R: Party affiliation: Canada

R's voting intention in national elections (Country specific)

Value 133108 Frequency
1 New Democratic Party 101
2 Liberal 446
3 Conservative 202
4 Bloq Quebecois 71
95 Other Party 105
96 Would not vote;no party preference 225
97 Refused 0
0 NAV 42959
98 Dont know 0
99 NA 61
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1150 43020 1 96

Valid range from 1 to 97

ch_prty R: Party affiliation: Switzerland

R's voting intention in national elections (Country specific)

Value 134107 Frequency
1 Christian Democratic Party 46
2 Evangelical Peoples Party 6
3 Radical Party 93
4 Social Democratic Party 147
5 Swiss Peoples Party 69
6 Independent Party 2
7 Liberal Party 9
8 Labour Party 5
9 Swiss Democrats 7
10 Green Party 62
11 Freedom Party 0
95 Other Party 8
96 No party preference 552
98 Not interested so much in politics 11
0 NAV 43133
97 Refused 0
99 NA 20
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1017 43153 1 98

Valid range from 1 to 98

cz_prty R: Party affiliation: Czech Republic

R's voting intention in national elections (Country specific)

Value 135106 Frequency
1 CSSD Social Democrats 125
2 ODA Civil Democratic Alliance 8
3 Nadeje Hope 5
4 RMS Republicans of Miroslav Sladek 6
5 CSNS Czech National Social Praty 2
6 SV-SOS party of the Countryside-United Civil Powers 3
7 Association of Independens 25
8 ODS Civic Democratic 251
9 KSCM Communist Party 107
10 KDU-CSL Chirtian Dem Party-Czechoslovak Peoples P 67
11 US-DEU Freedom Union - Democartic Union 13
12 SZJ Party for Life Securities 11
13 PB Right Block 8
14 SZ Party of Greens 13
95 Other Party 8
96 Would not vote 0
97 Refused 214
0 NAP, NAV 42894
98 Dont know 265
99 NA 145
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
866 43304 1 97

Valid range from 1 to 97

de_prty R: Party affiliation: Germany

R's voting intention in national elections (Country specific)

Value 136105 Frequency
1 CDU/ CSU 347
2 SPD 188
3 FDP 68
4 Buendnis 90/Gruene 83
5 NPD 0
6 DKP 0
7 Republikaner 13
8 PDS/Linke Liste 58
95 Other Party 11
96 Would not vote;not eligible 197
0 NAV 42953
97 Refused 48
98 Dont know 204
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
965 43205 1 96

Valid range from 1 to 96

dk_prty R: Party affiliation: Denmark

R's voting intention in national elections (Country specific)

Value 137104 Frequency
1 Social Democratic P 328
2 Radical Liberal P 83
3 Conservative P 88
4 Centre Democratic 13
5 Socialist Peoples P 91
6 Danish Peoples Prty 85
7 Christian Peoples P 18
8 Democratic Renewal 0
9 Liberal 387
10 Progressive 4
11 Leftwing Alliance 29
93 Other responses 0
95 Other Party 3
96 No preference,no vote 9
97 Refused 0
0 NAV 42932
98 Dont know 77
99 NA 23
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1138 43032 1 96

Valid range from 1 to 97

es_prty R: Party affiliation: Spain

R's voting intention in national elections (Country specific)

Value 138103 Frequency
1 Popular Party (Partido Popular - PP) 332
2 Socialist Party (Partido Socialista Obrero Espańol - PSOE) 369
3 Communist Party (Izquierda Unida - IU) 65
4 Regional Party of Center (Part Nac de Centro y Derecha) 52
5 Regional Party of Left (Partidos Nacionalistas de Izquierda) 33
6 Ecologist Party (Ecologistas - Verdes) 19
94 White (En Blanco) 27
95 Other Party (Otros) 2
96 No vote (No votará) 133
98 Don´t Know (NS) 105
99 No answer (NC) 75
0 NAP, NAV 42958
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1212 42958 1 99

Valid range from 1 to 99

fr_prty R: Party affiliation: France

R's voting intention in national elections (Country specific)

Value 139102 Frequency
1 Far left 38
2 Communist party 49
3 Socialist party 332
4 Green 150
5 UDF-Center Right 125
6 UMP-Conservative 356
7 National Front 68
95 Other Party 17
96 No preference 367
0 NAP, NAV 42501
97 Refused 73
99 NA 94
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1502 42668 1 96

Valid range from 1 to 96

gb_prty R: Party affiliation: Great Britain

R's voting intention in national elections (Country specific)

Value 140101 Frequency
1 Conservative 227
2 Labour 321
3 Liberal Democrats,SLD 104
4 Alliance Party 0
5 Democratic Unionist P 0
6 SNP (Scot National) 12
7 Plaid Cymru 1
8 Green party 0
9 Ulster Union Party 0
10 Progressive Unionist P 0
11 Sinn Fein 0
12 Ulster Democratic Party 0
13 Womens Coalition 0
14 Workers Party 0
15 UK Unionist Party 0
93 Other answer 7
95 Other Party 24
96 Would not vote;No party preference 133
97 Refused 0
0 NAV 43297
98 Dont know 31
99 NA 13
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
829 43341 1 96

Valid range from 1 to 97

hu_prty R: Party affiliation: Hungary

R's voting intention in national elections (Country specific)

Value 141100 Frequency
1 HDF-Hungarian Democratic Forum 16
2 FFD-Free Democrats 33
3 ISHP-Independent Small Holders 2
4 HSP-Hungarian Socialist Party 423
5 FYD-Federation of Young Democrats 255
6 CDPP-Christ.Democr.People s P 0
7 HSPW-Socialist workers 6
8 HIJP-Hungarina Truth 13
95 Other Party 9
96 Would not vote;no party preference 174
97 Refused 77
0 NAV 43149
98 Cant choose 0
99 NA 13
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1008 43162 1 97

Valid range from 1 to 97

il_prty R: Party affiliation: Israel

R's voting intention in national elections (Country specific)

Value 14299 Frequency
1 Israel ahat 123
2 Likud 321
3 Shase 51
4 Meretz 71
5 Mafdal 50
6 Yahadut-hatora, Agudat-Isarel, Degel-hatora 56
7 Am ehad 6
8 Shinuy 97
9 Haehud haleumi 17
10 The center party 3
11 Israel baliya 4
12 Israel byteno 21
13 Hadereh hashlishit 0
14 Pnina Rozenblum 0
15 Tzomet 2
16 Gimlaim 3
21 Hadash 41
22 Balad 34
23 Tnua Haravit Leshinui 8
24 Hatnua Harabit Hameauhedet 22
25 Haravi Hahadash 0
26 ale yarok 4
0 NAV 42952
97 Refusal 74
98 Don´t know 89
99 No answer 121
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
934 43236 1 26

Valid range from 1 to 26

ie_prty R: Party affiliation: Ireland

R's voting intention in national elections (Country specific)

Value 14398 Frequency
1 Fianna Fail 218
2 Fine Gael 83
3 Labour 39
4 Progressive Democrats 9
5 Green Party 10
6 Socialist Party 7
7 Sinn Fein 20
95 Other Party 4
96 Would not vote;No party preference 0
97 Refused 0
0 NAV; NAP 43776
98 Cant choose 0
99 NA 4
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
390 43780 1 95

Valid range from 1 to 97

jp_prty R: Party affiliation: Japan

R's voting intention in national elections (Country specific)

Value 14497 Frequency
1 Liberal Democratic Party 348
2 The Democratic Party 140
3 Liberal Party 0
4 New Komeito 42
5 Japanese Communist Party 19
6 Social Democratic Party 19
95 Other Party 1
96 No party preference 472
0 NAV 43068
97 Refused 0
98 Cant choose 0
99 NA 61
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1041 43129 1 96

Valid range from 1 to 96

kr_prty R: Party affiliation: South Korea

R's voting intention in national elections (Country specific)

Value 14596 Frequency
1 United Liberal Democrats 12
2 Grand National Party 226
3 National Alliance 21 22
4 Millennium Democratic Party 249
5 People´s party for reform 18
6 Democratic Labor Party 65
7 No party affiliation 635
8 The Uri Party 5
95 Other party 6
0 NAP, NAV 42855
98 DK 77
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1238 42932 1 95

Valid range from 1 to 95

lv_prty R: Party affiliation: Latvia

R's voting intention in national elections (Country specific)

Value 14695 Frequency
1 Alliance "Tçvzemei un Brîvîbai"/LNNK 18
2 The political organisation -For Human Rights in United Latvi 63
3 Social-democratic wellfare party 2
4 Russian Party 0
5 Latvian Social Democratic Workers’ Party (LSDSP) 11
6 Progressive CENTRIC party 0
7 Jaunais laiks 123
8 The People´s party 45
9 Latvia´s First Party 17
11 Latvia´s Regeneration Party 0
12 Freedom Party 0
13 Social Democratic Union + SDS 2
14 The United Republican Party of Latvia 0
15 Union -Latvia´s Way 17
16 Political alliance "Centre" 0
17 Party "Our Land" 0
18 Latgales Gaisma 1
19 Mâras zeme 0
20 Political organisation "Green and Farmer union" 27
96 No vote 445
0 NAP, NAV 43170
97 Refused 46
98 DK 183
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
771 43399 1 96

Valid range from 1 to 96

no_prty R: Party affiliation: Norway

R's voting intention in national elections (Country specific)

Value 14794 Frequency
1 Red Electoral All 21
2 Labour Party 317
3 Progress Party 258
4 Conserv Party 198
5 Christ Democr Party 60
6 Centre party 78
7 Socialist Left 213
8 Liberal 35
95 Other Party 15
96 No party preference;wouldnt vote 65
97 Refused 0
0 NAV 42701
98 Dont know 186
99 NA 23
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1260 42910 1 96

Valid range from 1 to 97

nz_prty R: Party affiliation: New Zealand

R's voting intention in national elections (Country specific)

Value 14893 Frequency
1 ACT 40
2 Alliance 9
3 Green 45
4 Labour 283
5 National 147
6 New Zealand First 67
7 Progressive Coalition 2
8 United Future 41
9 <Undocumented> 17
95 Other party 0
0 NAP, NAV 43134
96 Didnt vote/not eligible 65
98 Dont know/Cant remember 47
99 NA 273
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
651 43519 1 9

Valid range from 1 to 95

pl_prty R: Party affiliation: Poland

R's voting intention in national elections (Country specific)

Value 14992 Frequency
1 SLD-UP: Democratic left alliance/labour union 182
2 AWS: Solidarity election action 44
3 UW: Freedom union 57
4 Lepper´s self-defense trade union 62
5 PiS: Law and justice party 63
6 PSL: Polish peasants party 46
7 PO: Civic platform of the rep of Poland 85
9 PWN: Polish national fellowship 1
10 LPR: League of polish families 49
11 German minority 3
13 PUG: Polish economic union 3
95 Other list 11
0 NAV 43352
98 Don´t know 210
99 No answer 2
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
606 43564 1 95

Valid range from 1 to 95

pt_prty R: Party affiliation: Portugal

R's voting intention in national elections (Country specific)

Value 15091 Frequency
1 Bloco de Esquerda 62
2 CDS/PP 18
3 CDU-PCP 91
5 PPD/PSD 290
6 PS 419
7 PSR 2
8 UDP 1
9 Other 0
10 None, no preference 0
95 Other 4
96 None, no preference 518
0 NAV 42568
99 NA 197
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1405 42765 1 96

Valid range from 1 to 96

cl_prty R: Party affiliation: Chile

R's voting intention in national elections (Country specific)

Value 15190 Frequency
1 Independent National Alliance 35
2 Communist Party of Chile 37
3 Christian Democratic Party 166
4 Humanist Party 29
5 Democracy Party PPD 135
6 Radical Social Democratic 12
7 Chilean Socialist Party 122
8 National Renewal Party 100
9 Independent Democratic Union 141
95 Other Party 3
96 No party, no preference 625
0 NAP, NAV 42665
98 Dont know 47
99 NA 53
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1405 42765 1 96

Valid range from 1 to 96

ph_prty R: Party affiliation: Philippines

R's voting intention in national elections (Country specific)

Value 15289 Frequency
1 Lakas NUCD-UMDP(Lakas ng tao-National Union of Christian de) 33
2 LDP(Laban ng Demokratikong Pilipino) 7
3 NPC(Nationalists Peoples Coalition) 7
5 LP(Liberal Party) 17
6 NP(Nacionalista Party) 4
8 PDSP(Partido Demokratiko sosyalista ng pilipinas) 1
10 PMP(Partido ng Masang Pilipino) 8
16 Reforma 3
18 Estrada Party 14
19 Raul Roco Party 1
21 Miriam defensor party 1
22 Arroyo Party 9
25 OSMEĄA PARTY 5
26 Mayor romanate in tubod Party 1
33 Ted Failon Party 1
34 Ibanez Party 1
35 Promdi 1
36 FPJ(Colonia Brigade) 1
38 BOPK(Bando OsmeĄa Pondok Kaliswagan) 2
41 Robert Barbers Party 1
42 PPC 3
43 Balani 2
44 Mayor Parohinog Party 1
56 Lammp 1
57 Mayor of placer party 1
60 Professional Criminilogist Association Phil. 1
61 Drilon Party 1
62 Danding Party 1
63 Cory Party 1
64 Enrile Party 1
96 None 1069
0 NAP, NAV 42970
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1200 42970 1 96

Valid range from 1 to 96

ru_prty R: Party affiliation: Russia

R's voting intention in national elections (Country specific)

Value 15388 Frequency
1 Agrarian Party 11
2 Women of Russia 71
3 Yabloko 84
4 Unated Russia 305
5 LDPR 86
6 KPRF 219
7 Union of right forces 64
95 Other Party 119
96 Would not vote;no party preference 186
97 Refused 0
0 NAV 41787
98 Dont know 1238
99 NA 0
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1145 43025 1 96

Valid range from 1 to 97

se_prty R: Party affiliation: Sweden

R's voting intention in national elections (Country specific)

Value 15487 Frequency
1 C (Centre Party) 71
2 FP (Liberals) 144
3 KD (Christ Democr) 91
4 MP (Ecologists) 56
5 M (Liberal Conserv) 158
6 S (Social Democrats) 431
7 V (Socialists) 106
95 Other Party 64
0 NAP, NAV 42984
99 NA 65
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1121 43049 1 95

Valid range from 1 to 95

fi_prty R: Party affiliation: Finland

R's voting intention in national elections (Country specific)

Value 15586 Frequency
1 Social Democratic Party of Finland 245
2 Center Party of Finland 174
3 National Coalition Party 196
4 Left Alliance 53
5 Swedish People´s Party in Finland 46
6 Green League 127
7 Christian Democrats 49
8 True Finns 16
9 Reform Group 3
95 Other party 9
96 Would not vote 80
0 NAV 42791
97 Refused 114
98 Dont know 252
99 No answer 15
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
998 43172 1 96

Valid range from 1 to 96

sk_prty R: Party affiliation: Slovak Republic

R's voting intention in national elections (Country specific)

Value 15685 Frequency
1 S. Bernat (KSS) 7
2 M. Butora (Civic org.) 66
3 I. Gasparovic (HZD) 244
4 J. Kalman (Ind.) 5
5 J. Kralik (SDL) 9
6 J. Kubik (Ind.) 3
7 E. Kukan (SDKU) 175
8 V. Meciar (HZDS-LS) 183
9 F. Miklosko (KDH) 49
10 R. Schuster (Former President) 43
11 J. Sestak (Ind.) 3
95 Other Party 0
96 Abstain, no party preference 338
97 Refused 0
0 NAV 43018
98 Dont know 0
99 NA 27
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1125 43045 1 96

Valid range from 1 to 97

si_prty R: Party affiliation: Slovenia

R's voting intention in national elections (Country specific)

Value 15784 Frequency
1 Democratic ret DESUS 35
2 Liberal Democrat LDS 319
3 Peoples party SLS 64
4 Slovenian Nation SNS 26
5 Social Democratic SDS 94
6 NSI - New Slovenia 55
7 Combined list ZLSD 87
8 Youth party SMS 36
95 Other Party 31
96 Would not vote;No party preference 45
0 NAP, NAV 43077
97 Refused 202
98 Dont know 99
99 No answer 0
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
792 43378 1 96

Valid range from 1 to 96

tw_prty R: Party affiliation: Taiwan

R's voting intention in national elections (Country specific)

Value 15883 Frequency
1 KuoMinTang 170
2 Democratic Progressive Party 38
3 People Frist Party 12
4 Taiwan Solidarity Union 0
5 New Party 0
6 Taiwan Independence Party 0
95 Other Party 6
96 None 1775
0 NAP, NAV 42154
97 Refuse to answer which party 13
98 Refused 2
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
2001 42169 1 96

Valid range from 1 to 96

us_prty R: Party affiliation: United States

R's voting intention in national elections (Country specific)

Value 15982 Frequency
1 Strong democrat 212
2 N very strong democrat 203
3 Indep,close democrat 108
4 Independent 204
5 Indep,close republic 115
6 N very strong republic 178
7 Strong republican 182
95 Other party 9
0 NAP, NAV 42954
99 No answer 5
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1211 42959 1 95

Valid range from 1 to 95

uy_prty R: Party affiliation: Uruguay

R's voting intention in national elections (Country specific)

Value 16081 Frequency
1 Red Party 129
2 National Party 230
3 Wide front Party 454
4 Independent Party 6
5 Liberal Party 1
95 Other Party 2
96 No party preference 275
0 NAP, NAV 43062
99 NA 11
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1097 43073 1 96

Valid range from 1 to 96

ve_prty R: Party affiliation: Venezuela

R's voting intention in national elections (Country specific)

Value 16180 Frequency
1 AD (Soc-Democr) 126
2 Copei (Cons) 42
3 MAS (Center left) 17
4 MVR (Left) 350
5 Proyecto Venezuela (Liberal) 69
6 Primero Justicia (Liberal) 69
7 PPT (Center left) 13
8 Causa R (Left) 5
9 Convergencia (Cons) 8
10 Chavista (Left) 18
95 Others 8
96 None 456
0 NAP, NAV 42971
98 Dont know 13
99 Na 5
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1181 42989 1 96

Valid range from 1 to 96

za_prty R: Party affiliation:ZAR

R's voting intention in national elections (Country specific)

Value 16279 Frequency
0 NAV 44170
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
0 44170

vote_le R: Vote last election: yes, no

Did you vote in last election?

Value 16378 Frequency
1 Yes 31212
2 No 8590
0 NAV 3004
8 Dont know 222
9 No answer 1142
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
39802 4368 1 2

Valid range from 1 to 2

relig R: Religious denomination

Religious denomination.

Value 16477 Frequency
100 Roman Catholic 15147
110 Greek Catholic 67
200 Protestant (evangelische) free church 2183
210 Anglican,Ch Engl,Episcopal 1183
220 Baptists 336
230 Congregationalists 41
240 Mennonite 9
250 Lutheran, evangelical church 4464
260 Methodist 324
270 Pentecostal, ZA: Pentecostal Holiness Church 186
280 Presbyterian,Ch of Scot 300
289 Universal Church of God 9
290 Other Protestants (no spec.rel) 142
291 Brethren 12
292 Mormon 55
293 Salvation Army 14
294 Assemblies of God 48
295 Seventh Day Adventists 41
296 Hussites 32
297 Unitarians,AUS:Uniting church 164
298 United Church CDN 86
299 Church of God and Saint of Christ 18
300 Orthodox; Eastern Orthodox 951
310 Greek Orthodox 2
320 Russian Orthodox 1924
390 Orthodox (no spec. mentioned) 77
400 Other Christian Groups 425
401 Aglipayan 10
402 Born Again 26
405 United Church of Christ in the Phils 1
407 Dating Daan 1
412 Christians 338
413 Espiritista 2
414 Iglesia ni Cristo 34
415 Church of Christ 3
418 Evangelical Christian 2
423 Filipinista 2
424 Iglesia ng Dios 2
429 Kristohanon 3
430 Apostle Twelve 109
431 African Evangelical 30
432 Duthc Reform 221
433 Full Gospel Church of God 33
434 Faith Mission 37
435 St Johns Apostolic 32
436 Nazareth 33
437 Zionist Christian Church 240
444 Wesleyan 1
448 Camacop Alliance 2
457 Faith Tabernacle 1
490 Unspecified Christian Groups 178
491 Jehova´s Witness 24
500 Jewish 1104
530 Reform 4
590 Jewish Religion general 11
600 Islam 419
670 Druse 18
690 Muslim,Mohammedan,Islam 242
700 Buddhists, RCH:Specific Buddhist Groups 342
790 Buddhism general 830
800 Hinduism 157
820 Sikhism 2
890 Hinduism general 1
900 Other Asian Religion 6
901 Shintoism 22
902 Taoism 159
950 Other East Asian Religion 918
960 Other Religions 760
961 Ratana/Ringatu 27
962 USA:Native American 1
997 Refused 9
0 No religion, NAP, NAV 8320
998 Dont know 138
999 No answer 1075
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
34637 9533 100 997

Valid range from 100 to 997

religgrp R: Religious main groups (derived)

Religious denomination.

Value 16576 Frequency
1 No religion 8320
2 Roman Catholic 15195
3 Protestant 9612
4 Christian Orthodox 3000
5 Jewish 1176
6 Islam 680
7 Buddhism 1175
8 Hinduism 161
9 Other Christian Religions 1750
10 Other Eastern Religions 1105
11 Other Religions 774
97 Refused 9
0 NAV 0
98 Dont know 138
99 No answer 1075
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
42957 1213 1 97

Valid range from 1 to 97

attend R: Attendance of religious services

Attendance of religious services.

Value 16675 Frequency
1 Several times a week 2023
2 Once a week 5805
3 2 or 3 times a month 2683
4 Once a month 2359
5 Sev times a year 7634
6 Once a year 4219
7 Less frequently 7089
8 Never 5382
97 Refused 118
0 NAV, NAP (n<christ>religion) 5803
98 DK, varies too much 465
99 No answer 590
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
37312 6858 1 97

Valid range from 1 to 97

topbot R:Top Bottom self-placement 10 point scale

Top Bottom self-placement of respondent in a 10 point scale

Value 16774 Frequency
0 NAP, NAV 3356
1 Lowest 1532
2 1735
3 4123
4 4942
5 9580
6 8774
7 4697
8 2542
9 547
10 Highest 587
97 Refuse 16
98 Dont know 335
99 No answer 1404
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
42415 1755 0 10

Valid range from 0 to 10

at_reg Region: Austria

Country specific region

Value 16873 Frequency
1 Vorarlberg 40
2 Tirol 75
3 Salzburg 71
4 Oberoesterreich 169
5 Kaernten 76
6 Steiermark 152
7 Burgenland 37
8 Niederoesterreich 203
9 Wien 183
0 NAV 43164
99 NA 0
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1006 43164 1 9

Valid range from 1 to 9

au_reg Region: Australia

Country specific region

Value 16972 Frequency
1 New South Wales 739
2 Victoria 569
3 Queensland 366
4 South Australia 189
5 Western Australia 186
6 Tasmania 62
7 Australian Capital Territory 42
8 Northern Territory 10
0 NAP, NAV 41987
99 NA 20
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
2163 42007 1 8

Valid range from 1 to 8

bg_reg Region: Bulgaria

Country specific region

Value 17071 Frequency
1 Blagoevgrad 48
2 Bourgas 56
3 Varna 61
4 Veliko Tarnovo 39
5 Vidin 16
6 Vratza 30
7 Gabrovo 23
8 Dobritch 29
9 Kardzali 39
10 Kustnedil 23
11 Lovetch 24
12 Montana 24
13 Pazardzik 45
14 Pernik 16
15 Pleven 51
16 Plovdiv 92
17 Razgrad 24
18 Rousse 33
19 Silistra 23
20 Sliven 32
21 Smolian 16
22 Sofia city 120
23 Sofia region 41
24 Stara Zagora 56
25 Targovishte 15
26 Haskovo 42
27 Shoumen 27
28 Yambol 24
0 NAP, NAV 43101
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1069 43101 1 28

Valid range from 1 to 28

ca_reg Region: Canada

Country specific region

Value 17170 Frequency
1 Newfoundland 67
2 Nova Scotia 58
3 Prince Edward Island 88
4 New Brunswick 83
5 Quebec 311
6 Ontario 254
7 Manitoba 68
8 Saskatchewan 81
9 Alberta 77
10 British Colombia 102
0 NAV 42959
99 NA 22
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1189 42981 1 10

Valid range from 1 to 10

ch_reg Region: Switzerland

Country specific region

Value 17269 Frequency
1 Zuerich 231
2 Bern 187
3 Luzern 41
4 Uri 0
5 Schwyz 0
6 Obwalden 0
7 Nidwalden 0
8 Glarus 19
9 Zug 12
10 Fribourg 40
11 Solothurn 40
12 Baselstadt 7
13 Baselland 0
14 Schaffhausen 0
15 Appenzell AR 0
16 Appenzell IR 0
17 St. Gallen 86
18 Graubuenden 27
19 Aargau 71
20 Thurgau 58
21 Ticino 42
22 Vaud 80
23 Wallis 41
24 Neuchatel 0
25 Geneve 31
26 Jura 24
0 NAV 43133
99 NA 0
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1037 43133 1 26

Valid range from 1 to 26

cz_reg Region: Czech Republic

Country specific region

Value 17368 Frequency
1 Prague 103
2 Central Bohemia 138
3 South Bohemia 88
4 Pilsen 75
5 Carlsbad 29
6 Usti n/L 102
7 Liberec 47
8 Hradec Kralove 42
9 Pardubice 80
10 Vysocina 107
11 South Moravia 131
12 Olomouc 83
13 Moravia-Silesia 184
14 Zlin 67
0 NAV 42894
99 NA 0
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1276 42894 1 14

Valid range from 1 to 14

de_reg Region: Germany

Country specific region

Value 17467 Frequency
1 Schleswig-Holstein 36
2 Hamburg 9
3 Niedersachsen 96
4 Bremen 5
5 Nordrhein-Westfalen 217
6 Hessen 104
7 Rheinland-Pfalz 59
8 Baden-Wuerttemberg 122
9 Bayern 168
10 Saarland 11
11 Berlin-Ost 31
12 Mecklbg-Vorpommern 52
13 Brandenburg 71
14 Sachsen-Anhalt 82
15 Thueringen 61
16 Sachsen 140
17 Berlin-West 23
0 NAP, NAV 42883
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1287 42883 1 17

Valid range from 1 to 17

dk_reg Region: Denmark

Country specific region

Value 17566 Frequency
1 Copenhagen county 140
2 Frederiksborg county 103
3 Roskilde county 61
4 Westernzealand county 72
5 Storstroems county 65
6 Bornholms county 0
7 Funen county 123
8 Southern Jutland county 66
9 Ribe county 54
10 Vejle county 99
11 Ringkoebing county 60
12 Aarhus county 171
13 Viborg county 69
14 Nothern Jutland county 116
15 Copenhagen municipality 88
16 Frederiksberg municipality 24
0 NAV 42848
99 NA 11
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1311 42859 1 16

Valid range from 1 to 16

es_reg Region: Spain

Country specific region

Value 17665 Frequency
1 Andalucia 210
2 Aragon 38
3 Asturias 34
4 Baleares 24
5 Cataluńa 191
6 Canarias 49
7 Cantabria 17
8 Castilla-Leon 78
9 Castilla-La Mancha 52
10 Extremadura 31
11 Galicia 87
12 La Rioja 7
13 Madrid 152
14 Murcia 33
15 Navarra 17
16 Pais Vasco 68
17 Comunidad Valenciana 124
0 NAP, NAV 42958
99 NA 0
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1212 42958 1 17

Valid range from 1 to 17

fr_reg Region: France

Country specific region

Value 17764 Frequency
1 Ain 14
2 Aisne 9
3 Allier 11
4 Alpes-Hte-Provence 8
5 Hautes-Alpes 3
6 Alpes-Maritimes 27
7 Ardeche 10
8 Ardennes 5
9 Ariege 12
10 Aube 9
11 Aude 10
12 Aveyron 9
13 Bouche-du-Rhone 55
14 Calvados 17
15 Cantal 6
16 Charente 4
17 Charente-Maritime 23
18 Cher 4
19 Correze 8
20 Haute-Corse 3
21 Cote-d Or 12
22 Cotes-d Armor 19
23 Creuse 9
24 Dordogne 12
25 Doubs 19
26 Drome 11
27 Eure 12
28 Eure-et-Loir 8
29 Finistere 29
30 Gard 22
31 Haute-Garonne 38
32 Gers 5
33 Gironde 59
34 Herault 29
35 Ille-et-Vilaine 26
36 Indre 4
37 Indre-et-Loire 17
38 Isere 35
39 Jura 7
40 Landes 8
41 Loir-et-Cher 7
42 Loire 16
43 Haute-Loire 10
44 Loire-Atlantique 40
45 Loiret 10
46 Lot 4
47 Lot-et-Garonne 11
48 Lozere 4
49 Maine-et-Loire 30
50 Manche 16
51 Marne 11
52 Haute-Marne 5
53 Mayenne 3
54 Meurthe-et-Moselle 28
55 Meuse 2
56 Morbihan 24
57 Moselle 24
58 Nievre 9
59 Nord 52
60 Oise 9
61 Orne 5
62 Pas-de-Calais 39
63 Puy-de-Dome 15
64 Pyrenees-Atlantiques 18
65 Hautes-Pyrenees 5
66 Pyrenees-Orientales 16
67 Bas-Rhin 24
68 Haut-Rhin 21
69 Rhone 42
70 Haute-Saone 9
71 Saone-et-Loire 13
72 Sarthe 8
73 Savoie 9
74 Haute-Savoie 17
75 Ville de Paris 79
76 Seine-Maritime 29
77 Seine-et-Marne 25
78 Yvelines 44
79 Deux-Sevres 7
80 Somme 19
81 Tarn 6
82 Tarn-et-Garonne 3
83 Var 27
84 Vaucluse 19
85 Vendee 15
86 Vienne 10
87 Haute-Vienne 7
88 Vosges 11
89 Yonne 12
90 Belfort (Territoire) 1
91 Essone 29
92 Hauts-de-Seine 47
93 Seine-Saint-Denis 21
94 Val-de-Marne 36
95 Val-d Oise 20
96 Corse-Sud 2
0 NAP, NAV 42501
99 NA 16
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1653 42517 1 96

Valid range from 1 to 96

gb_reg Region: Great Britain

Country specific region

Value 17863 Frequency
1 Scotland 100
2 North,North West,Yorkshire Hbs 211
3 West, East Midlands 159
4 Wales 54
5 East Anglia,South West,S-E 274
6 London 75
0 NAV 43297
99 NA 0
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
873 43297 1 6

Valid range from 1 to 6

hu_reg Region: Hungary

Country specific region

Value 17962 Frequency
1 Budapest 179
2 Baranya 59
3 Bacs-Kiskun 48
4 Bekes 12
5 Borsod-Abauj 72
6 Csongrad 83
7 Fejer 46
8 Gyor-Sopron 60
9 Hajdu-Bihar 36
10 Heves 35
11 Komarom 12
12 Nograd 12
13 Pest 116
14 Somogy 36
15 Szabolcs-Szatmar 48
16 Szolnok 72
17 Tolna 0
18 Vas 12
19 Veszprem 48
20 Zala 35
0 NAV 43149
99 NA 0
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1021 43149 1 20

Valid range from 1 to 20

il_reg Region: Israel

Country specific region

Value 18061 Frequency
1 North 261
2 South 174
3 Tel-Aviv 452
4 Jerusalem 169
5 Arab sector 152
0 NAV 42952
99 NA 10
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1208 42962 1 5

Valid range from 1 to 5

ie_reg Region: Ireland

Country specific region

Value 18160 Frequency
1 Border 147
2 Dublin 239
3 Mid-East 131
4 Midland 51
5 Mid-West 121
6 South_east 81
7 South-West 187
8 West 108
0 Not available 43105
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1065 43105 1 8

Valid range from 1 to 8

jp_reg Region: Japan

Country specific region

Value 18259 Frequency
1 Hokkaido, Tohoku 132
2 Kanto, Koshin-etsu 377
3 Chubu 177
4 Kinki 171
5 Chugoku, Shikoku 117
6 Kyushu 128
0 NAP, NAV 43068
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1102 43068 1 6

Valid range from 1 to 6

kr_reg Region: South Korea

Country specific region

Value 18358 Frequency
1 Seoul Metropolitan City 291
2 Incheon Metropolitan city 74
3 Daejeon Metropolitan city 34
4 Busan Metropolitan city 107
5 Ulsan Metropolitan City 24
6 Deagu Metropolitan City 65
7 Gwangju Metropolitan city 43
8 Gyeonggi Province 249
9 Gangwon Province 44
10 Chungcheong Province 112
11 Gyeongsang Province 145
12 Jeolla Province 112
13 Jeju-do 15
0 NAV 42855
99 NA 0
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1315 42855 1 13

Valid range from 1 to 13

lv_reg Region: Latvia

Country specific region

Value 18457 Frequency
1 Riga 331
2 Vidzeme 207
3 Kurzeme 132
4 Zemgale 169
5 Latgale 161
0 NAV 43170
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1000 43170 1 5

Valid range from 1 to 5

no_reg Region: Norway

Country specific region

Value 18556 Frequency
1 Central East 317
2 East 420
3 South 78
4 West 382
5 Middle 139
6 North 133
99 NA 0
0 NAV 42701
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1469 42701 1 6

Valid range from 1 to 99

nz_reg Region: New Zealand

Country specific region

Value 18655 Frequency
1 Northland 43
2 Auckland 265
3 Thames Valley 11
4 Bay of Plenty 89
5 Waikato 72
6 Tongariro 3
7 East Cape 14
8 Hawkes Bay 50
9 Taranaki 33
10 Wanganui 16
11 Manawatu 39
12 Horowhenua 16
13 Wellington 99
14 Wairarapa 11
15 Nelson Bays 26
16 Marlborough 15
17 West Coast 9
18 Canterbury 115
19 Aorangi 12
20 Clutha-Centr Otago 22
21 Coastal-North Otago 28
22 Southland 36
0 NAP, NAV 43134
99 NA 12
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1024 43146 1 22

Valid range from 1 to 22

pl_reg Region: Poland

Country specific region

Value 18754 Frequency
1 Dolnoslaskie 98
2 Kujawsko-Pomorskie 64
3 Lubelskie 70
4 Lubuskie 38
5 Lodzkie 93
6 Maloposlkie 103
7 Mazowieckie 170
8 Opolskie 41
9 Podkarpackie 65
10 Podlaskie 38
11 Pomorskie 56
12 Slaskie 179
13 Swietokrzyskie 47
14 Warminsko-Mazurskie 47
15 Wielkopolskie 115
16 Zachodniopomorskie 53
0 NAP, NAV 42893
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1277 42893 1 16

Valid range from 1 to 16

pt_reg Region: Portugal

Country specific region

Value 18853 Frequency
1 North 422
2 Centre 222
3 Lisbon a Tagus Val 808
4 Alentejo 99
5 Algarve 51
0 NAP, NAV 42568
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1602 42568 1 5

Valid range from 1 to 5

cl_reg Region: Chile

Country specific region

Value 18952 Frequency
1 Tarapaca 40
2 Antofagasta 50
3 Atacama 25
4 Coquimbo 60
5 Valparaiso 155
6 Libertador General 75
7 Maule 90
8 Biobio 185
9 La Araucania 85
10 Los Lagos 105
11 Aisen del General 10
12 Magallanes y Antari 15
13 Metropolitana de Santiago 610
0 NAP, NAV 42665
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1505 42665 1 13

Valid range from 1 to 13

ph_reg Region: Philippines

Country specific region

Value 19051 Frequency
1 National Capital Region (NCR) 300
2 Balance Luzon 300
3 Visayas 300
4 Mindanao 300
0 NAP, NAV 42970
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1200 42970 1 4

Valid range from 1 to 4

ru_reg Region: Russia

Country specific region

Value 19150 Frequency
1 North 139
2 North-West 82
3 Central 714
4 Volga-Vyatka 119
5 Black Earth 110
6 Volga Region 236
7 North Caucasus 237
8 Urals 289
9 West Siberia 212
10 East Siberia 131
11 Far East 114
0 NAV 41787
99 NA 0
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
2383 41787 1 11

Valid range from 1 to 11

se_reg Region: Sweden

Country specific region

Value 19249 Frequency
1 North 144
2 Mid North 126
3 Mid East 188
4 Stockholm 214
5 West 111
6 Goeteborg 124
7 Smaaland Gotland 102
8 South 103
9 Malmoe 70
0 NAP, NAV 42984
99 NA 4
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1182 42988 1 9

Valid range from 1 to 9

fi_reg Region: Finland

Country specific region

Value 19348 Frequency
1 Uusimaa 363
2 Varsinais-Suomi 111
4 Satakunta 54
5 Kanta-Häme 45
6 Pirkanmaa 123
7 Päijät-Häme 56
8 Kymenlaakso 46
9 South Karelia 42
10 Etelä-Savo 44
11 Pohjois-Savo 61
12 North Karelia 46
13 Central Finland 77
14 South Ostrobothnia 42
15 Ostrobothnia 45
16 Central Ostrobothnia 17
17 North Ostrobothnia 93
18 Kainuu 27
19 Lapland 47
20 Itä-Uusimaa 25
21 Ĺland 7
0 NAP, NAV 42791
99 Not known 8
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1371 42799 1 21

Valid range from 1 to 21

sk_reg Region: Slovak Republic

Country specific region

Value 19447 Frequency
1 Bratislava county 131
2 Trnava county 117
3 Trencin county 128
4 Nitra county 153
5 Zilina county 148
6 Ban. Bystrica county 141
7 Presov county 169
8 Kosice county 164
0 NAV 43018
99 NA 1
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1151 43019 1 8

Valid range from 1 to 8

si_reg Region: Slovenia

Country specific region

Value 19546 Frequency
1 Pomurska 80
2 Podravska 181
3 Koroska 51
4 Savinjska 158
5 Gorenjska 122
6 Zasavska 20
7 Osrednja 244
8 Spodnjeposavska 37
9 Dolenjska 62
10 Goriska 65
11 Obalnokraska 49
12 Kraska 24
0 NAP, NAV 43077
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1093 43077 1 12

Valid range from 1 to 12

tw_reg Region: Taiwan

Country specific region

Value 19645 Frequency
1 North 969
2 Central 323
3 South 624
4 East 100
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
2016 42154 1 4

Valid range from 1 to 4

us_reg Region: United States

Country specific region

Value 19744 Frequency
1 New England 33
2 Middle Atlantic 152
3 East North Central 234
4 West North Central 90
5 South Atlantic 259
6 East South Central 67
7 West South Central 110
8 Mountain 94
9 Pacific 177
0 NAP, NAV 42954
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1216 42954 1 9

Valid range from 1 to 9

uy_reg Region: Uruguay

Country specific region

Value 19843 Frequency
1 Metropolitan statistical area of Montevideo 680
2 Rest of urban population 428
0 NAP, NAV 43062
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1108 43062 1 2

Valid range from 1 to 2

ve_reg Region: Venezuela

Country specific region

Value 19942 Frequency
0 NAP, NAV 44170
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
0 44170

za_reg Region: South Africa

Country specific region

Value 20041 Frequency
1 WC 270
2 EC 286
3 NC 243
4 FS 210
5 KZN 399
6 NW 203
7 GT 301
8 MP 276
9 LP 295
0 NAP, NAV 41687
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
2483 41687 1 9

Valid range from 1 to 9

at_size Size of community: Austria

Country specific town size

Value 20140 Frequency
1 >1 mill+Vienna 183
2 50 001-1 million 142
3 20 001-50 000 256
4 10 001-20 000 0
5 5 001-10 000 0
6 3 001- 5 000 0
7 2 001- 3 000 0
8 Less than 2 000 425
0 NAV 43164
99 NA 0
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1006 43164 1 8

Valid range from 1 to 8

au_size Size of community: Australia

Country specific town size

Value 20239 Frequency
1 Inner metropolitan (over 100,000 people) 600
2 Outer metropolitan (over 100,000 people) 770
3 A large town (over 25,000 people) 269
4 A larger country town (over 10,000 people) 125
5 A small country town (under 10,000 people) 249
6 A rural area or on a farm 140
0 NAV 41987
99 NA 30
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
2153 42017 1 6

Valid range from 1 to 6

ca_size Size of community: Canada

Country specific town size

Value 20338 Frequency
1 greater than 1 million 101
2 750 000 - 999 999 91
3 500 000 - 749 999 75
4 250 000 - 499 999 94
5 100 000 - 249 999 170
6 50 000 - 99 999 143
7 10 000 - 49 999 298
8 1 000 - 9 999 150
9 less than 1 000 43
0 NAV 42959
99 Na, refused 46
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1165 43005 1 9

Valid range from 1 to 9

ch_size Size of community: Switzerland

Country specific town size

Value 20437 Frequency
7367900 Switzerland 1037
0 NAV 43133
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1037 43133 7367900 7367900

Valid range from 7367900 to 7367900

cl_size Size of community: Chile

Country specific town size

Value 20536 Frequency
0 NAP, NAV 44170
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
0 44170

cz_size Size of community: Czech Republic

Country specific town size

Value 20635 Frequency
1 1,2 Mill. (Prague) 103
2 100 000+ 155
3 50 000- 99 999 169
4 10 000- 49 999 221
5 5 000- 9 999 222
6 2 000- 4 999 124
7 1 000- 1 999 123
8 Less than 1 000 159
0 NAV 42894
99 NA 0
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1276 42894 1 8

Valid range from 1 to 8

de_size Size of community: Germany

Country specific town size

Value 20734 Frequency
1 > 500 000 156
2 100 000-499 999 201
3 50 000- 99 999 94
4 20 000- 49 999 184
5 5 000- 19 999 314
6 2 000- 4 999 175
7 up to 1 999 146
0 NAV 42900
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1270 42900 1 7

Valid range from 1 to 7

dk_size Size of community: Denmark

Country specific town size

Value 20833 Frequency
1 Greater Copenhagen area 227
2 50 000 to 500 000 201
3 10 000-50 000 297
4 5 000-10 000 141
5 Less than 5 000 345
0 NAP, NAV 42848
8 Dont know 85
9 NA 26
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1211 42959 1 5

Valid range from 1 to 5

es_size Size of community: Spain

Country specific town size

Value 20932 Frequency
1 Madrid and Barcelona 143
2 > Than 250.000 179
3 100.001 - 250.000 165
4 50.001 - 100.000 129
5 10.001 - 50.000 285
6 5.001 - 10.000 132
7 2.001 - 5.000 95
8 < Than 2.000 84
9 No answer,refused 0
0 NAP, NAV 42958
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1212 42958 1 8

Valid range from 1 to 9

fr_size Size of community: France

Country specific town size

Value 21031 Frequency
1 Paris 133
2 > - 500 000 86
3 100 001- 500 000 180
4 50 001- 100 000 115
5 20 001- 50 000 182
6 10 001- 20 000 127
7 2 001- 10 000 389
8 < 2 000 390
0 NAP, NAV 42501
99 NA 67
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1602 42568 1 8

Valid range from 1 to 8

gb_size Size of community: Great Britain

Country specific town size

Value 21130 Frequency
1 Highest population density 185
4 Lowest population density 245
0 NAV 43297
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
873 43297 1 4

Valid range from 1 to 4

hu_size Size of community: Hungary

Country specific town size

Value 21229 Frequency
1 2 mill.inh.,Budapest 179
2 100 000+ 72
3 50 001-100 000 60
4 20 001- 50 000 119
5 10 001- 20 000 108
6 5 001- 10 000 96
7 2 001- 5 000 140
8 1 001- 2 000 128
9 < 1 000 119
0 NAV 43149
99 NA 0
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1021 43149 1 9

Valid range from 1 to 9

il_size Size of community: Israel

Country specific town size

Value 21328 Frequency
1 > than 100 000 586
2 50 001-100 000 115
3 20 001- 50 000 301
4 10 001- 20 000 115
5 5 001- 10 000 30
6 2 501- 5 000 44
7 < than 2 500 0
0 NAV 42952
9 NA 27
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1191 42979 1 6

Valid range from 1 to 7

ie_size Size of community: Ireland

Country specific town size

Value 21427 Frequency
1 Dublin 218
2 large city 70000 to 100000 85
3 medium city 50000 to 69999 11
4 large town 10000 to 49999 107
5 small town 3000 to 9999 92
6 Village up to 3000 159
7 Farm, rural property 370
99 No answer 23
0 NAV 43105
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1065 43105 1 99

Valid range from 1 to 99

jp_size Size of community: Japan

Country specific town size

Value 21526 Frequency
1 1.000.000 or more 198
2 300.000-999.999 168
3 100.000-299.999 237
4 less than 100.000 200
5 Town or village 299
0 NAP, NAV 43068
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1102 43068 1 5

Valid range from 1 to 5

kr_size Size of community: South Korea

Country specific town size

Value 21625 Frequency
1 1 000 001 and more; metropolitan 638
2 100 001-1 000 000; large city 510
3 50 001- 100 000; middle city 129
4 Less than 50 000; rular county 38
0 NAV 42855
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1315 42855 1 4

Valid range from 1 to 4

lv_size Size of community: Latvia

Country specific town size

Value 21724 Frequency
1 > 500.000 331
2 100.001-500.000 49
3 50.001-100.000 89
4 20.001- 50.000 71
5 10.001- 20.000 76
6 5.001- 10.000 64
7 2.000- 5.000 168
8 < 2.000 152
0 NAV 43170
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1000 43170 1 8

Valid range from 1 to 8

no_size Size of community: Norway

Country specific town size

Value 21823 Frequency
1 >100 000 367
2 30 000- 99 999 283
3 3 000- 29 999 727
4 < 3 000 92
99 NA 0
0 NAV 42701
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1469 42701 1 4

Valid range from 1 to 99

bg_size Size of community: Bulgaria

Country specific town size

Value 21922 Frequency
1 Sofia (1.2Mill) 120
2 100001-500000 183
3 20001+100000 223
4 2001-20000 293
5 up to 2000 250
0 NAV 43101
99 NA 0
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1069 43101 1 5

Valid range from 1 to 5

nz_size Size of community: New Zealand

Country specific town size

Value 22021 Frequency
0 NAV 44170
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
0 44170

pl_size Size of community: Poland

Country specific town size

Value 22120 Frequency
1 > 500 000 26
2 250 000-500 000 84
3 100 000-249 999 253
4 50 000- 99 999 150
5 25 000- 49 999 104
6 10 000- 24 999 92
7 < 10 000 108
8 Village 460
0 NAP, NAV 42893
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1277 42893 1 8

Valid range from 1 to 8

pt_size Size of community: Portugal

Country specific town size

Value 22219 Frequency
1 greater than 100 000 206
2 20 000-100 000 279
3 5 000- 19 999 368
4 1 000- 4 999 396
5 less than 1 000 353
0 NAP, NAV 42568
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1602 42568 1 5

Valid range from 1 to 5

ph_size Size of community: Philippines

Country specific town size

Value 22318 Frequency
192 192 5
209 209 5
234 234 5
82765 82765 5
89456 89456 5
91196 91196 5
0 Not available 43037
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1133 43037 192 91196

Valid range from 192 to 91196

ru_size Size of community: Russia

Country specific town size

Value 22417 Frequency
1 > 1 million 672
2 500 001-1 000 000 209
3 250 001- 500 000 229
4 100 001- 250 000 199
5 50 001- 100 000 205
6 20 001- 50 000 169
7 Urban < 20 000 152
8 Rural 548
0 NAV 41787
99 No answer 0
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
2383 41787 1 8

Valid range from 1 to 8

se_size Size of community: Sweden

Country specific town size

Value 22516 Frequency
1 More than 300 000 408
2 90 000 - 300 000 415
3 27 000 - 90 000 293
4 Less than 27 000 66
0 NAP, NAV 42984
99 NA 4
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1182 42988 1 4

Valid range from 1 to 4

fi_size Size of community: Finland

Country specific town size

Value 22615 Frequency
26257 Inhabitants (Ĺland region) 7
70674 Inhabitants (Central Ostrobothnia region) 17
87371 Inhabitants (Kainuu region) 27
90934 Inhabitants (Itä-Uusimaa region) 25
136694 Inhabitants (South Karelia region) 42
163276 Inhabitants (Etelä-Savo region) 44
165886 Inhabitants (Kanta-Häme region) 45
169722 Inhabitants (North Karelia region) 46
173006 Inhabitants (Ostrobothnia) 45
186111 Inhabitants (Kymenlaakso region) 46
187777 Inhabitants (Lapland region) 47
194105 Inhabitants (South Ostrobothnia region) 42
198088 Inhabitants (Päijät-Häme region) 56
235416 Inhabitants (Satakunta region) 54
251976 Inhabitants (Pohjois-Savo region) 61
265078 Inhabitants (Central Finland region) 77
369974 Inhabitants (North Ostrobothnia region) 93
450968 Inhabitants (Varsinais-Suomi region) 111
453978 Inhabitants (Pirkanmaa region) 123
1329004 Inhabitants (Uusimaa region) 363
0 NAP, NAV 42791
99 Not known 8
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1371 42799 26257 1329004

Valid range from 26257 to 1329004

sk_size Size of community: Slovak Republic

Country specific town size

Value 22714 Frequency
1 More than 100 000 144
2 50 000 - 100 000 163
3 10 000 - 50 000 315
4 2 000 - 10 000 207
5 Up to 2 000 323
0 NAP, NAV 43018
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1152 43018 1 5

Valid range from 1 to 5

si_size Size of community: Slovenia

Country specific town size

Value 22813 Frequency
1 > 50 000 (Lblj,Mar) 168
2 10 000-50 000 146
3 4 000-10 000 65
4 2 000-4 000 74
5 500-2 000 285
6 < 500 347
0 NAP, NAV 43077
99 NA 8
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1085 43085 1 6

Valid range from 1 to 6

tw_size Size of community: Taiwan

Country specific town size

Value 22912 Frequency
1 More than 9000 21
2 8000-8999 25
3 7000-7999 116
4 6000-6999 143
5 5000-5999 160
6 4000-4999 290
7 3000-3999 390
8 2000-2999 328
9 1000-1999 436
10 Less than 999 107
99 NAP, NAV 0
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
44170 0 0 10

Valid range from 0 to 10

us_size Size of community: United States

Country specific town size

Value 23011 Frequency
1 1-9 millions 75
2 500 000-999 999 48
3 100 000-499 999 164
4 50 000-99 999 137
5 10 000-49 999 408
6 1 000-9 999 360
7 - 999 24
0 NAP, NAV 42954
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1216 42954 1 7

Valid range from 1 to 7

uy_size Size of community: Uruguay

Country specific town size

Value 23110 Frequency
1 1.597.943 urban population 680
2 992.552 urban population 428
0 NAP, NAV 43062
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
1108 43062 1 2

Valid range from 1 to 2

ve_size Size of community: Venezuela

Country specific town size

Value 2329 Frequency
0 NAP, NAV 44170
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
0 44170

za_size Size of community: South Africa

Country specific town size

Value 2338 Frequency
1 Tribal 490
2 Farms 287
3 Smallholdings 15
4 Urban formal 1377
5 Urban informal 296
9 Hostels 18
0 NAP, NAV 41687
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
2483 41687 1 9

Valid range from 1 to 9

urbrural Type of community: urban-rural self-ass

Type of community: urban / rural

Value 2347 Frequency
1 Urban,a big city 14672
2 Suburb,outskirt of a big city 6777
3 Town or small city 10173
4 Country village 9294
5 Farm or home in the country 1809
9 No answer 246
0 NAV 1199
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
42971 1199 1 9

Valid range from 1 to 9

ethnic Family origin, ethnic group, identity

R's Ethnicity or nationality

Value 2356 Frequency
1 Africa,Mandinka,Somalia,Sudan,Yoruba 1714
2 Afrikaan 0
3 Aklanon,Romblon 5
4 Albanian 0
5 Alsacien, France 0
6 American Indian,Navajo,Ind.Dialect 18
7 American,American only,America,(D:USA) 4
8 Antiqueńo 0
9 Arab,Arabic,Muslim 0
10 Armenian,Transcaucasian 1
11 Asian,Asia,other Asian 3
12 Australian,Oceanian,Australia 2
13 Austrian,Austria 6
14 Bangladeshi,Bengali,Bangladesh 0
15 Basque/Vasco 0
16 Belgian,Belgium 0
17 Belorussian,Bialorussian 20
18 Bicolano/Bikol 60
19 Bilaan 0
20 Black/African/Carribean,No-Spanish 17
21 Bosnian, SLO:ethn.Muslim 15
22 Breton, France 0
23 Bul-anon 0
24 Bulgarian 921
25 Cajun French 0
26 Catalan,Valencian,Balear/Mallorquin 0
27 Coloured 407
28 Cook Island Maori 0
29 Corse, France 0
30 Creole,Surinam/Sranan,Metis,Chavacano 1
31 Jewish/Yiddish 4
32 Croatian 30
33 Czech-Czechia,Czech Republic 1069
34 Chinese-Cantonese,Hakka,Mandarin 18
35 Danish,Denmark 0
36 Danish+English 0
37 English + Persian 0
38 English + Tai 0
39 English,England&Wales,UK,England 437
40 Esperanto,Latin,Slavonik,Celtic 0
41 Estonia 0
42 Ethiopia 0
43 European,White/European,Europe 0
44 Europeans Mediterranean 0
45 Finnish,Finland 1379
46 French,France 400
47 Gallego 0
48 Georgian 1
49 German,Germany (CZ:Nemec) 1333
50 German+Danish 0
51 Greek,Greece 0
52 Hebrew/Ivrit 9
53 Hungarian,Hungary (CZ:Magyar) 106
54 Ibanag 10
55 Ifugao 0
56 Igorot 0
57 Ilocano 156
58 Ilonggo 195
59 French+English 0
60 Indian,Hindi,Urdu,Gujarati,Tamil 241
61 Indonesian,Malay/Malaysian 0
62 Inuit, Eskimo 17
63 Iranian,Persian/Farsi,Dari 0
64 Iraq 0
65 Irish/Irish Gaelic,Ireland 1025
66 Isindebele 0
67 Isixhosa 0
68 Isizulu 0
69 Italian,Italy 7
70 Itawis 0
71 Itneg 0
72 Japanese,Japan 3
73 Jordan 0
74 Kapampangan 18
75 Karay-a 0
76 Korean 1315
77 Kurdish,Assyrian,Lebanese 0
78 Latin-American, South America, Spanish Origin from western c 36
79 Latvian,Estonian,Lith.,Baltic 587
80 Lithuanian 13
81 Luxemborger, Luxemburg 0
82 Philippine other (Maguindanao, Kuyonin, Tangadanon, Zambaleń 81
83 Maori,NZ Maori 0
84 Maranaw/Maranao 1
85 Masbateńo 13
86 Metis 6
87 Montenegro 0
88 Moravian 111
89 Netherlands,Dutch,Flemish 1
90 Nordic,Scandinavian other 0
91 North Africans 0
92 Norwegian,Norway 0
93 Occitan, France 0
94 One non-Swedish,both non-Swedish 167
95 Oriental 0
96 Ozamisnon 0
97 Pacific,Polynesian,Chamorro Guam 2
98 Pakistan,Panjab/Punjabi,Pashto 28
99 Panggalatok Pangasinan,Pangasinense 10
100 Philippines,Tagalog,Filippino 296
101 Pidgin, PNG Pidgin 0
102 Polish,Pole,Poland 27
103 Portuguese, Portugal 0
104 Provençal, France 0
105 Romani,Gipsy ,Tzyganes 61
106 Romanian/Rumanian 3
107 Romblonon 0
108 Russian,Russia,USSR&Rep. 2702
109 Samic,Lapp 0
110 Samoan,Tokelauan 0
111 Scotland,Scots Gaelic,Scottish 65
112 Sepedi 0
113 Serbia,Serbian,Serb, Yugoslavian 33
114 Sesotho 0
115 Setswana 0
116 Silesian 9
117 Siswati 0
118 Slovakia,Slovak 1048
119 Slovenia,Slovenian,Slovene 1000
120 Somalia 0
121 Spanish,Castilian,Castellano 5
122 Subanen 0
123 Surigaonon 0
124 Swedish (both citizen) 1018
125 Switzerland,Rheto-roman 1
126 Tatar 1
127 Thai,Khmer,Vietnamese,Cont.Southeast 2
128 Tongan,Niuean 0
130 Tshivenda/Lemba 0
131 Turkey,Turkish 96
132 Ukraine,Ukrainian 19
133 Visayan/Cebuano,Boholano,Leyteno 313
134 Waray 47
135 Welsh 0
136 Whites (all) 1282
137 Xitsonga 0
138 Zamboangeńo 0
980 Other African language 0
981 Other,East European 54
982 Other,Middle East 1
983 Other,Mixed origin 83
984 Other,Western European 22
990 No languages at all 0
998 No answer 0
999 Don´t know 102
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
20211 23959 1 984

Valid range from 1 to 990

mode Administrative mode of data-collection

Interview method.

Value 2365 Frequency
10 F2f, paper and pencil, no visuals 4758
11 F2f, paper and pencil, visuals 12176
12 F2f, paper and pencil,Respondent reading questionnaire 1209
13 Interpreter or translator, no visuals 0
14 Interpreter or translator, visuals 3308
20 F2f, computer-assisted, no visuals 1006
21 F2f, computer-assisted, visuals 1037
22 F2f, computer-assisted,Respondent reading questionnaire (pap 0
23 Interpreter or translator, no visuals 0
24 Interpreter or translator, visuals 0
30 Self-completion,paper a pencil,interviewer attending 4648
31 Drop-off,pick up later 873
32 Drop-off,mailed back by Respondent 0
33 Mailed to, complete and hold for pick up 0
34 Self-completion, paper and pencil, mailed to, mailed back by 11296
40 Self-completion, computer-assisted 1216
50 Telephone, paper and pencil, no visuals 0
51 Telephone, paper and pencil, visuals 0
52 Telephone, paper and pencil, respondent reading questionnair 159
0 Not available 2483
99 No answer 1
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
41686 2484 10 52

Valid range from 10 to 52

weight Weighting factor

Value 2374 Frequency
1 No weighting 19810
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
44170 0 0 10.873

Valid range from 0 to 10.873

isco88b R: Occupation ILO,ISCO 1988 1-digit

Value 2383 Frequency
110 Armed forces 188
1000 Legislators, senior officials and managers 2832
1100 Legislators and senior officials 0
1110 Legislators and senior government officials 0
1120 Senior government official 0
1130 Traditional chiefs+heads of villages 0
1140 Senior officials of special-interest organisations 0
1141 Senior officials of political party organisations 0
1142 Senior officials of employers´, workers´ and other economic- 0
1143 Senior officials of humanitarian and other special-interest 0
1200 Corporate managers 0
1210 Directors and chief executives 0
1220 Production and operations managers 0
1221 Production and operations managers in agriculture, hunting, 0
1222 Production and operations managers in manufacturing 0
1223 Production and operations managers in construction 0
1224 Production and operations managers in wholesale and retail t 0
1225 Production and operations managers in restaurants and hotels 0
1226 Production and operations managers in transport, storage and 0
1227 Production and operations managers in business services ente 0
1228 Production and operations managers in personal care, cleanin 0
1229 Production and operations managers not elsewhere classified 0
1230 Other specialists managers 0
1231 Finance and administration managers 0
1232 Personnel and industrial relations managers 0
1233 Sales and marketing managers 0
1234 Advertising and public relations managers 0
1235 Supply and distribution managers 0
1236 Computing services managers 0
1237 Research and development managers 0
1238 Other department managers nec 0
1239 Other specialist managers not elsewhere classified 0
1240 USA:Miscelaneous office supervisors 0
1250 H:Miscelaneous officers 0
1251 H:High-grade military officer 0
1252 H:Low-grade commissioned officer 0
1300 Managers of small enterprises 0
1310 Managers of small enterprises 0
1311 Managers of small enterprises in agriculture, hunting, fores 0
1312 Managers of small enterprises in manufacturing 0
1313 Managers of small enterprises in construction 0
1314 Managers of small enterprises in wholesale and retail trade 0
1315 Managers of small enterprises of restaurants and hotels 0
1316 Managers of small enterprises in transport, storage and comm 0
1317 Managers of small enterprises in business services enterpris 0
1318 Managers of small enterprises in personal care, cleaning and 0
1319 Managers of small enterprises not elsewhere classified 0
2000 Professionals 4913
2100 Physical, mathematical and engineering science professionals 0
2110 Physicists, chemists and related professionals 0
2111 Physicists and astronomers 0
2112 Meteorologists 0
2113 Chemists 0
2114 Geologists and geophysicists 0
2120 Mathematicians, statisticians and related professionals 0
2121 Mathematicians and related professionals 0
2122 Statisticians 0
2130 Computing professionals 0
2131 Computer systems designers, analysts and programmers 0
2139 Computing professionals not elsewhere classified 0
2140 Architects, engineers and related professionals 0
2141 Architects, town and traffic planners 0
2142 Civil engineers 0
2143 Electrical engineers 0
2144 Electronics and telecommunications engineers 0
2145 Mechanical engineers 0
2146 Chemical engineers 0
2147 Mining engineers, metallurgists and related professionals 0
2148 Cartographers and surveyors 0
2149 Architects, engineers and related professionals not elsewh 0
2200 Life science and health professionals 0
2210 Life science professionals 0
2211 Biologists, botanists, zoologists and related professionals 0
2212 Pharmacologists, pathologists and related professionals 0
2213 Agronomists and related professionals 0
2220 Health professionals (except nursing) 0
2221 Medical doctors 0
2222 Dentists 0
2223 Veterinarians 0
2224 Pharmacists 0
2229 Health professionals (except nursing) not elsewhere classifi 0
2230 Nursing and midwifery professionals 0
2300 Teaching professionals 0
2310 College, university and higher education teaching profession 0
2320 Secondary education teaching professionals 0
2330 Primary and pre-primary education teaching professionals 0
2331 Primary education teaching professionals 0
2332 Pre-primary education teaching professionals 0
2340 Special education teaching professionals 0
2350 Other teaching professionals 0
2351 Education methods specialists 0
2352 School inspectors 0
2359 Other teaching professionals not elsewhere classified 0
2400 Other professionals 0
2410 Business professionals 0
2411 Accountants 0
2412 Personnel and careers professionals 0
2419 Business professionals not elsewhere classified 0
2420 Legal professionals 0
2421 Lawyers 0
2422 Judges 0
2429 Legal professionals not elswhere classified 0
2430 Archivists, librarians and related information professionals 0
2431 Archivists and curators 0
2432 Librarians and related information professionals 0
2440 Social science and related professionals 0
2441 Economists 0
2442 Sociologists, anthropologists and related professionals 0
2443 Philosophers, historians and political scientists 0
2444 Philologists, translators and interpreters 0
2445 Psychologists 0
2446 Social work professionals 0
2450 Writers and creative or performing artists 0
2451 Authors, journalists and other writers 0
2452 Sculptors, painters and related artists 0
2453 Composers, musicians and singers 0
2454 Choreographers and dancers 0
2455 Film, stage and related actors and directors 0
2460 Religious professionals 0
2470 Public service administrative professionals 0
3000 Technicians and associate professionals 5088
3100 Physical and engineering science associate professionals 0
3110 Physical and engineering science technicians 0
3111 Chemical and physical science technicians 0
3112 Civil engineering technicians 0
3113 Electrical engineering technicians 0
3114 Electronics and telecommunications engineering technicians 0
3115 Mechanical engineering technicians 0
3116 Chemical engineering technicians 0
3117 Mining and metallurgical technicians 0
3118 Draughtspersons 0
3119 Physical and engineering science technicians not elsewhere c 0
3120 Computer associate professionals 0
3121 Computer assistants 0
3122 Computer equipment operators 0
3123 Industrial robot controllers 0
3130 Optical and electronic equipment operators 0
3131 Photographers and image and sound recording equipment operat 0
3132 Broadcasting and telecommunications equipment operators 0
3133 Medical equipment operators 0
3139 Optical and electronic equipment operators not elsewhere cla 0
3140 Ship and aircraft controllers and technicians 0
3141 Ships´ engineers 0
3142 Ships´ deck officers and pilots 0
3143 Aircraft pilots and related associate professionals 0
3144 Air traffic controllers 0
3145 Air traffic safety technicians 0
3150 Safety and quality inspectors 0
3151 Building and fire inspectors 0
3152 Safety, health and quality inspectors 0
3200 Life science and health associate professionals 0
3210 Life science technicians and related associate professional 0
3211 Life science technicians 0
3212 Agronomy and forestry technicians 0
3213 Farming and forestry advisers 0
3220 Health associate professionals (except nursing) 0
3221 Medical assistants 0
3222 Hygienists, health and environmental officers 0
3223 Dieticians and nutritionists 0
3224 Optometrists and opticians 0
3225 Dental assistants 0
3226 Physiotherapists and related associate professionals 0
3227 Veterinary assistants 0
3228 Pharmaceutical assistants 0
3229 Health associate professionals (except nursing) not elsewher 0
3230 Nursing and midwifery associate professionals 0
3231 Nursing associate professionals 0
3232 Midwifery associate professionals 0
3300 Teaching associate professionals 0
3310 Primary education teaching associate professionals 0
3320 Pre-primary education teaching associate professionals 0
3330 Special education teaching associate professionals 0
3340 Other teaching associate professionals 0
3400 Other associate professionals 0
3410 Finance and sales associate professionals 0
3411 Securities and finance dealers and brokers 0
3412 Insurance representatives 0
3413 Estate agents 0
3414 Travel consultants and organisers 0
3415 Technical and commercial sales representatives 0
3416 Buyers 0
3417 Appraisers, valuers and auctioneers 0
3419 Finance and sales associate professionals not elsewhere clas 0
3420 Business services agents and trade brokers 0
3421 Trade brokers 0
3422 Clearing and forwarding agents 0
3423 Employment agents and labour contractors 0
3429 Business services agents and trade brokers not elsewhere cla 0
3430 Administrative associate professionals 0
3431 Administrative secretaries and related associate professiona 0
3432 Legal and related business associate professionals 0
3433 Bookkeepers 0
3434 Statistical, mathematical and related associate professional 0
3440 Customs, tax and related government associate professionals 0
3441 Customs and border inspectors 0
3442 Government tax and excise officials 0
3443 Government social benefits officials 0
3444 Government licensing officials 0
3449 Customs, tax and related government associate professionals 0
3450 Police inspectors and detectives 0
3460 Social work associate professionals 0
3470 Artistic, entertainment and sports associate professionals 0
3471 Decorators and commercial designers 0
3472 Radio, television and other announcers 0
3473 Street, night-club and related musicians, singers and dancer 0
3474 Clowns, magicians, acrobats and related associate profession 0
3475 Athletes, sports persons and related associate professionals 0
3480 Religious associate professionals 0
4000 Clerks 3798
4100 Office clerks 0
4110 Secretaries and keyboard-operating clerks 0
4111 Stenographers and typists 0
4112 Word-processor and related operators 0
4113 Data entry operators 0
4114 Calculating-machine operators 0
4115 Secretaries 0
4120 Numerical clerks 0
4121 Accounting and book-keeping clerks 0
4122 Statistical and finance clerks 0
4130 Material-recording and transport clerks 0
4131 Stock clerks 0
4132 Production clerks 0
4133 Transport clerks 0
4140 Library, mail and related clerks 0
4141 Library and filing clerks 0
4142 Mail carriers and sorting clerks 0
4143 Coding, proof-reading and related clerks 0
4144 Scribes and related workers 0
4190 Other office clerks 0
4200 Customer services clerks 0
4210 Cashiers, tellers and related clerks 0
4211 Cashiers and ticket clerks 0
4212 Tellers and other counter clerks 0
4213 Bookmakers and croupiers 0
4214 Pawnbrokers and money-lenders 0
4215 Debt-collectors and related workers 0
4220 Client information clerks 0
4221 Travel agency and related clerks 0
4222 Receptionists and information clerks 0
4223 Telephone switchboard operators 0
5000 Service workers and shop and market sales workers 4604
5100 Personal and protective services workers 0
5110 Travel attendants and related workers 0
5111 Travel attendants and travel stewards 0
5112 Transport conductors 0
5113 Travel guides 0
5120 Housekeeping and restaurant services workers 0
5121 Housekeepers and related workers 0
5122 Cooks 0
5123 Waiters, waitresses and bartenders 0
5130 Personal care and related workers 0
5131 Child-care workers 0
5132 Institution-based personal care workers 0
5133 Home-based personal care workers 0
5139 Personal care and related workers not elsewhere classified 0
5140 Other personal services workers 0
5141 Hairdressers, barbers, beauticians and related workers 0
5142 Companions and valets 0
5143 Undertakers and embalmers 0
5149 Other personal services workers not elsewhere classified 0
5160 Protective services workers 0
5161 Fire-fighters 0
5162 Police officers 0
5163 Prison guards 0
5169 Protective services workers not elsewhere classified 0
5200 Models, salespersons and demonstrators 0
5210 Fashion and other models 0
5220 Shop, stall and market salespersons and demonstrators 0
6000 Skilled agricultural and fishery workers 1323
6100 Skilled agricultural and fishery workers 0
6110 Market gardeners and crop growers 0
6111 Field crop and vegetable growers 0
6112 Gardeners, horticultural and nursery growers 0
6120 Animal producers and related workers 0
6121 Dairy and livestock producers 0
6122 Poultry producers 0
6129 Animal producers and related workers not elsewhere classifie 0
6130 Crop and animal producers 0
6140 Forestry and related workers 0
6141 Forestry workers and loggers 0
6142 Charcoal burners and related workers 0
6150 Fishery workers, hunters and trappers 0
6151 Aquatic life cultivation workers 0
6152 Inland and coastal waters fishery workers 0
6153 Deep-sea fishery workers 0
6154 Hunters and trappers 0
7000 Craft and related trades workers 4559
7100 Extraction and building trades workers 0
7110 Miners, shotfirers, stone cutters and carvers 0
7111 Miners and quarry workers 0
7112 Shotfirers and blasters 0
7113 Stone splitters, cutters and carvers 0
7120 Building frame and related trades workers 0
7121 Builders 0
7122 Bricklayers and stonemasons 0
7123 Concrete placers, concrete finishers and related workers 0
7124 Carpenters and joiners 0
7129 Building frame and related trades workers not elsewhere clas 0
7130 Building finishers and related trades workers 0
7131 Roofers 0
7132 Floor layers and tile setters 0
7133 Plasterers 0
7134 Insulation workers 0
7135 Glaziers 0
7136 Plumbers and pipe fitters 0
7137 Building and related electricians 0
7139 Building finishers and related trade workers not elsewhere c 0
7140 Painters, building structure cleaners and related trades wor 0
7141 Painters and related workers 0
7143 Building structure cleaners 0
7200 Metal, machinery and related trades workers 0
7210 Metal moulders, welders, sheet-metal workers, structural-met 0
7211 Metal moulders and coremakers 0
7212 Welders and flame cutters 0
7213 Sheet-metal workers 0
7214 Structural-metal preparers and erectors 0
7215 Riggers and cable splicers 0
7216 Underwater workers 0
7220 Blacksmiths, tool-makers and related trades workers 0
7221 Blacksmiths, hammer-smiths and forging-press workers 0
7222 Tool-makers and related workers 0
7223 Machine-tool setters and setter-operators 0
7224 Metal wheel-grinders, polishers and tool sharpeners 0
7230 Machinery mechanics and fitters 0
7231 Motor vehicle mechanics and fitters 0
7232 Aircraft engine mechanics and fitters 0
7233 Agricultural- or industrial-machinery mechanics and fitters 0
7240 Electrical and electronic equipment mechanics and fitters 0
7241 Electrical mechanics fitters and services 0
7242 Electronics mechanics, fitters and servicers 0
7244 Telegraph and telephone installers and servicers 0
7245 Electrical line installers, repairers and cable jointers 0
7300 Precision, handicraft, craft printing and related trades wor 0
7310 Precision workers in metal and related materials 0
7311 Precision-instrument makers and repairers 0
7312 Musical-instrument makers and tuners 0
7313 Jewellery and precious-metal workers 0
7320 Potters, glass-makers and related trades workers 0
7321 Abrasive wheel formers, potters and related workers 0
7322 Glass-makers, cutters, grinders and finishers 0
7323 Glass engravers and etchers 0
7324 Glass, ceramics and related decorative painters 0
7330 Handicraft workers in wood, textile, leather and related mat 0
7331 Handicraft workers in wood and related materials 0
7332 Handicraft workers in textile, leather and related materials 0
7340 Craft printing and related trades workers 0
7341 Compositors, typesetters and related workers 0
7342 Stereotypers and electrotypers 0
7343 Printing engravers and etchers 0
7344 Photographic and related workers 0
7345 Bookbinders and related workers 0
7346 Silk-screen, block and craft textile printers 0
7400 Other craft and related trades workers 0
7410 Food processing and related trades workers 0
7411 Butchers, fishmongers and related food preparers 0
7412 Bakers, pastry-cooks and confectionery makers 0
7413 Dairy-products workers 0
7414 Fruit, vegetable and related preservers 0
7415 Food and beverage tasters and graders 0
7416 Tobacco preparers and tobacco products makers 0
7420 Wood treaters, cabinet-makers and related trades workers 0
7421 Wood treaters 0
7422 Cabinetmakers and related workers 0
7423 Woodworking machine setters and setter-operators 0
7424 Basketry weavers, brush makers and related workers 0
7430 Textile, garment and related trades workers 0
7431 Fibre preparers 0
7432 Weavers, knitters and related workers 0
7433 Tailors, dressmakers and hatters 0
7434 Furriers and related workers 0
7435 Textile, leather and related pattern-makers and cutters 0
7436 Sewers, embroiderers and related workers 0
7437 Upholsterers and related workers 0
7440 Pelt, leather and shoemaking trades workers 0
7441 Pelt dressers, tanners and fellmongers 0
7442 Shoe-makers and related workers 0
8000 Plant and machine operators and assemblers 2649
8100 Stationary plant and related operators 0
8110 Mining and mineral-processing-plant operators 0
8111 Mining plant operators 0
8112 Mineral-ore and stone-processing-plant operators 0
8113 Well drillers and borers and related workers 0
8120 Metal-processing plant operators 0
8121 Ore and metal furnace operators 0
8122 Metal melters, casters and rolling-mill operators 0
8123 Metal heat-treating-plant operators 0
8124 Metal drawers and extruders 0
8130 Glass, ceramics and related plant operators 0
8131 Glass and ceramics kiln and related machine operators 0
8139 Glass, ceramics and related plant operators not elsewhere cl 0
8140 Wood-processing- and papermaking-plant operators 0
8141 Wood-processing-plant operators 0
8142 Paper-pulp plant operators 0
8143 Papermaking-plant operators 0
8150 Chemical-processing-plant operators 0
8151 Crushing-, grinding- and chemical-mixing-machinery operators 0
8152 Chemical-heat-treating-plant operators 0
8153 Chemical-filtering- and separating-equipment operators 0
8154 Chemical-still and reactor operators (except petroleum and n 0
8155 Petroleum- and natural-gas-refining-plant operators 0
8159 Chemical-processing-plant operators not elsewhere classified 0
8160 Power-production and related plant operators 0
8161 Power-production plant operators 0
8162 Steam-engine and boiler operators 0
8163 Incinerator, water-treatment and related plant operators 0
8170 Industrial robot operators 0
8200 Machine operators and assemblers 0
8210 Metal- and mineral-products machine operators 0
8211 Machine-tool operators 0
8212 Cement and other mineral products machine operators 0
8220 Chemical-products machine operators 0
8221 Pharmaceutical-and toiletry-products machine operators 0
8222 Ammunition- and explosive-products machine operators 0
8223 Metal finishing-, plating- and coating-machine operators 0
8224 Photographic-products machine operators 0
8229 Chemical-products machine operators not elsewhere classified 0
8230 Rubber- and plastic-products machine operators 0
8231 Rubber-products machine operators 0
8232 Plastic-products machine operators 0
8240 Wood-products machine operators 0
8250 Printing-, binding- and paper-products machine operators 0
8251 Printing-machine operators 0
8252 Book-binding-machine operators 0
8253 Paper-products machine operators 0
8260 Textile-, fur- and leather-products machine operators 0
8261 Fibre-preparing-, spinning- and winding-machine operators 0
8262 Weaving- and knitting-machine operators 0
8263 Sewing-machine operators 0
8264 Bleaching-, dyeing- and cleaning-machine operators 0
8265 Fur- and leather-preparing-machine operators 0
8266 Shoemaking- and related machine operators 0
8269 Textile-, fur- and leather-products machine operators not el 0
8270 Food and related products machine operators 0
8271 Meat- and fish-processing-machine operators 0
8272 Dairy-products machine operators 0
8273 Grain- and spice-milling-machine operators 0
8274 Baked-goods, cereal- and chocolate-products machine operator 0
8275 Fruit-, vegetable- and nut-processing-machine operators 0
8276 Sugar production machine operators 0
8277 Tea-, coffee- and cocoa-processing-machine operators 0
8278 Brewers, wine and other beverage machine operators 0
8279 Tobacco production machine operators 0
8280 Assemblers 0
8281 Mechanical-machinery assemblers 0
8282 Electrical-equipment assemblers 0
8283 Electronic-equipment assemblers 0
8284 Metal-, rubber- and plastic-products assemblers 0
8285 Wood and related products assemblers 0
8286 Paperboard, textile and related products assemblers 0
8287 Composite products assemblers 0
8290 Other machine operators not elsewhere classified 0
8300 Drivers and mobile plant operators 0
8310 Locomotive engine drivers and related workers 0
8311 Locomotive engine drivers 0
8312 Railway brakers, signallers and shunters 0
8320 Motor vehicle drivers 0
8321 Motorcycle drivers 0
8322 Car, taxi and van drivers 0
8323 Bus and tram drivers 0
8324 Heavy truck and lorry drivers 0
8330 Agricultural and other mobile plant operators 0
8331 Motorised farm and forestry plant operators 0
8332 Earth-moving and related plant operators 0
8333 Crane, hoist and related plant operators 0
8334 Lifting-truck operators 0
8340 Ships´ deck crews and related workers 0
9000 Elementary occupations 4101
9100 Sales and services elementary occupations 0
9110 Street vendors and related workers 0
9111 Street vendors 0
9113 Door-to-door and telephone salespersons 0
9120 Shoe cleaning and other street services elementary occupatio 0
9130 Domestic and related helpers, cleaners and launderers 0
9131 Domestic helpers and cleaners 0
9132 Helpers and cleaners in offices, hotels and other establishm 0
9133 Hand-launderers and pressers 0
9140 Building caretakers, window and related cleaners 0
9141 Building caretakers 0
9142 Vehicle, window and related cleaners 0
9150 Messengers, porters, doorkeepers and related workers 0
9151 Messengers, package and luggage porters and deliverers 0
9152 Doorkeepers, watchpersons and related workers 0
9153 Vending-machine money collectors, meter readers and related 0
9160 Garbage collectors and related labourers 0
9161 Garbage collectors 0
9162 Sweepers and related labourers 0
9200 Agricultural, fishery and related labourers 0
9210 Agricultural, fishery and related labourers 0
9211 Farm-hands and labourers 0
9212 Forestry labourers 0
9213 Fishery, hunting and trapping labourers 0
9300 Labourers in mining, construction, manufacturing and transpo 0
9310 Mining and construction labourers 0
9311 Mining and quarrying labourers 0
9312 Construction and maintenance labourers: roads, dams and simi 0
9313 Building construction labourers 0
9320 Manufacturing labourers 0
9330 Transport labourers and freight handlers 0
9996 Not classified;inadequately described 322
0 NAP,NAV, No spouse, never had a job 8782
9997 Refused 271
9998 Dont know 114
9999 Na 626
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
34377 9793 110 9996

Valid range from 110 to 9996

spisco8b S-P: Occupation ILO,ISCO 1988 1-digit

Value 2392 Frequency
110 Armed forces 143
1000 Legislators, senior officials and managers 1891
1100 Legislators and senior officials 0
1110 Legislators and senior government officials 0
1120 Senior government official 0
1130 Traditional chiefs+heads of villages 0
1140 Senior officials of special-interest organisations 0
1141 Senior officials of political party organisations 0
1142 Senior officials of employers´, workers´ and other economic- 0
1143 Senior officials of humanitarian and other special-interest 0
1200 Corporate managers 0
1210 Directors and chief executives 0
1220 Production and operations managers 0
1221 Production and operations managers in agriculture, hunting, 0
1222 Production and operations managers in manufacturing 0
1223 Production and operations managers in construction 0
1224 Production and operations managers in wholesale and retail t 0
1225 Production and operations managers in restaurants and hotels 0
1226 Production and operations managers in transport, storage and 0
1227 Production and operations managers in business services ente 0
1228 Production and operations managers in personal care, cleanin 0
1229 Production and operations managers not elsewhere classified 0
1230 Other specialists managers 0
1231 Finance and administration managers 0
1232 Personnel and industrial relations managers 0
1233 Sales and marketing managers 0
1234 Advertising and public relations managers 0
1235 Supply and distribution managers 0
1236 Computing services managers 0
1237 Research and development managers 0
1238 Other department managers nec 0
1239 Other specialist managers not elsewhere classified 0
1240 USA:Miscelaneous office supervisors 0
1250 H:Miscelaneous officers 0
1251 H:High-grade military officer 0
1252 H:Low-grade commissioned officer 0
1300 Managers of small enterprises 0
1310 Managers of small enterprises 0
1311 Managers of small enterprises in agriculture, hunting, fores 0
1312 Managers of small enterprises in manufacturing 0
1313 Managers of small enterprises in construction 0
1314 Managers of small enterprises in wholesale and retail trade 0
1315 Managers of small enterprises of restaurants and hotels 0
1316 Managers of small enterprises in transport, storage and comm 0
1317 Managers of small enterprises in business services enterpris 0
1318 Managers of small enterprises in personal care, cleaning and 0
1319 Managers of small enterprises not elsewhere classified 0
2000 Professionals 3048
2100 Physical, mathematical and engineering science professionals 0
2110 Physicists, chemists and related professionals 0
2111 Physicists and astronomers 0
2112 Meteorologists 0
2113 Chemists 0
2114 Geologists and geophysicists 0
2120 Mathematicians, statisticians and related professionals 0
2121 Mathematicians and related professionals 0
2122 Statisticians 0
2130 Computing professionals 0
2131 Computer systems designers, analysts and programmers 0
2139 Computing professionals not elsewhere classified 0
2140 Architects, engineers and related professionals 0
2141 Architects, town and traffic planners 0
2142 Civil engineers 0
2143 Electrical engineers 0
2144 Electronics and telecommunications engineers 0
2145 Mechanical engineers 0
2146 Chemical engineers 0
2147 Mining engineers, metallurgists and related professionals 0
2148 Cartographers and surveyors 0
2149 Architects, engineers and related professionals not elsewh 0
2200 Life science and health professionals 0
2210 Life science professionals 0
2211 Biologists, botanists, zoologists and related professionals 0
2212 Pharmacologists, pathologists and related professionals 0
2213 Agronomists and related professionals 0
2220 Health professionals (except nursing) 0
2221 Medical doctors 0
2222 Dentists 0
2223 Veterinarians 0
2224 Pharmacists 0
2229 Health professionals (except nursing) not elsewhere classifi 0
2230 Nursing and midwifery professionals 0
2300 Teaching professionals 0
2310 College, university and higher education teaching profession 0
2320 Secondary education teaching professionals 0
2330 Primary and pre-primary education teaching professionals 0
2331 Primary education teaching professionals 0
2332 Pre-primary education teaching professionals 0
2340 Special education teaching professionals 0
2350 Other teaching professionals 0
2351 Education methods specialists 0
2352 School inspectors 0
2359 Other teaching professionals not elsewhere classified 0
2400 Other professionals 0
2410 Business professionals 0
2411 Accountants 0
2412 Personnel and careers professionals 0
2419 Business professionals not elsewhere classified 0
2420 Legal professionals 0
2421 Lawyers 0
2422 Judges 0
2429 Legal professionals not elswhere classified 0
2430 Archivists, librarians and related information professionals 0
2431 Archivists and curators 0
2432 Librarians and related information professionals 0
2440 Social science and related professionals 0
2441 Economists 0
2442 Sociologists, anthropologists and related professionals 0
2443 Philosophers, historians and political scientists 0
2444 Philologists, translators and interpreters 0
2445 Psychologists 0
2446 Social work professionals 0
2450 Writers and creative or performing artists 0
2451 Authors, journalists and other writers 0
2452 Sculptors, painters and related artists 0
2453 Composers, musicians and singers 0
2454 Choreographers and dancers 0
2455 Film, stage and related actors and directors 0
2460 Religious professionals 0
2470 Public service administrative professionals 0
3000 Technicians and associate professionals 3063
3100 Physical and engineering science associate professionals 0
3110 Physical and engineering science technicians 0
3111 Chemical and physical science technicians 0
3112 Civil engineering technicians 0
3113 Electrical engineering technicians 0
3114 Electronics and telecommunications engineering technicians 0
3115 Mechanical engineering technicians 0
3116 Chemical engineering technicians 0
3117 Mining and metallurgical technicians 0
3118 Draughtspersons 0
3119 Physical and engineering science technicians not elsewhere c 0
3120 Computer associate professionals 0
3121 Computer assistants 0
3122 Computer equipment operators 0
3123 Industrial robot controllers 0
3130 Optical and electronic equipment operators 0
3131 Photographers and image and sound recording equipment operat 0
3132 Broadcasting and telecommunications equipment operators 0
3133 Medical equipment operators 0
3139 Optical and electronic equipment operators not elsewhere cla 0
3140 Ship and aircraft controllers and technicians 0
3141 Ships´ engineers 0
3142 Ships´ deck officers and pilots 0
3143 Aircraft pilots and related associate professionals 0
3144 Air traffic controllers 0
3145 Air traffic safety technicians 0
3150 Safety and quality inspectors 0
3151 Building and fire inspectors 0
3152 Safety, health and quality inspectors 0
3200 Life science and health associate professionals 0
3210 Life science technicians and related associate professional 0
3211 Life science technicians 0
3212 Agronomy and forestry technicians 0
3213 Farming and forestry advisers 0
3220 Health associate professionals (except nursing) 0
3221 Medical assistants 0
3222 Hygienists, health and environmental officers 0
3223 Dieticians and nutritionists 0
3224 Optometrists and opticians 0
3225 Dental assistants 0
3226 Physiotherapists and related associate professionals 0
3227 Veterinary assistants 0
3228 Pharmaceutical assistants 0
3229 Health associate professionals (except nursing) not elsewher 0
3230 Nursing and midwifery associate professionals 0
3231 Nursing associate professionals 0
3232 Midwifery associate professionals 0
3300 Teaching associate professionals 0
3310 Primary education teaching associate professionals 0
3320 Pre-primary education teaching associate professionals 0
3330 Special education teaching associate professionals 0
3340 Other teaching associate professionals 0
3400 Other associate professionals 0
3410 Finance and sales associate professionals 0
3411 Securities and finance dealers and brokers 0
3412 Insurance representatives 0
3413 Estate agents 0
3414 Travel consultants and organisers 0
3415 Technical and commercial sales representatives 0
3416 Buyers 0
3417 Appraisers, valuers and auctioneers 0
3419 Finance and sales associate professionals not elsewhere clas 0
3420 Business services agents and trade brokers 0
3421 Trade brokers 0
3422 Clearing and forwarding agents 0
3423 Employment agents and labour contractors 0
3429 Business services agents and trade brokers not elsewhere cla 0
3430 Administrative associate professionals 0
3431 Administrative secretaries and related associate professiona 0
3432 Legal and related business associate professionals 0
3433 Bookkeepers 0
3434 Statistical, mathematical and related associate professional 0
3440 Customs, tax and related government associate professionals 0
3441 Customs and border inspectors 0
3442 Government tax and excise officials 0
3443 Government social benefits officials 0
3444 Government licensing officials 0
3449 Customs, tax and related government associate professionals 0
3450 Police inspectors and detectives 0
3460 Social work associate professionals 0
3470 Artistic, entertainment and sports associate professionals 0
3471 Decorators and commercial designers 0
3472 Radio, television and other announcers 0
3473 Street, night-club and related musicians, singers and dancer 0
3474 Clowns, magicians, acrobats and related associate profession 0
3475 Athletes, sports persons and related associate professionals 0
3480 Religious associate professionals 0
4000 Clerks 2133
4100 Office clerks 0
4110 Secretaries and keyboard-operating clerks 0
4111 Stenographers and typists 0
4112 Word-processor and related operators 0
4113 Data entry operators 0
4114 Calculating-machine operators 0
4115 Secretaries 0
4120 Numerical clerks 0
4121 Accounting and book-keeping clerks 0
4122 Statistical and finance clerks 0
4130 Material-recording and transport clerks 0
4131 Stock clerks 0
4132 Production clerks 0
4133 Transport clerks 0
4140 Library, mail and related clerks 0
4141 Library and filing clerks 0
4142 Mail carriers and sorting clerks 0
4143 Coding, proof-reading and related clerks 0
4144 Scribes and related workers 0
4190 Other office clerks 0
4200 Customer services clerks 0
4210 Cashiers, tellers and related clerks 0
4211 Cashiers and ticket clerks 0
4212 Tellers and other counter clerks 0
4213 Bookmakers and croupiers 0
4214 Pawnbrokers and money-lenders 0
4215 Debt-collectors and related workers 0
4220 Client information clerks 0
4221 Travel agency and related clerks 0
4222 Receptionists and information clerks 0
4223 Telephone switchboard operators 0
5000 Service workers and shop and market sales workers 2635
5100 Personal and protective services workers 0
5110 Travel attendants and related workers 0
5111 Travel attendants and travel stewards 0
5112 Transport conductors 0
5113 Travel guides 0
5120 Housekeeping and restaurant services workers 0
5121 Housekeepers and related workers 0
5122 Cooks 0
5123 Waiters, waitresses and bartenders 0
5130 Personal care and related workers 0
5131 Child-care workers 0
5132 Institution-based personal care workers 0
5133 Home-based personal care workers 0
5139 Personal care and related workers not elsewhere classified 0
5140 Other personal services workers 0
5141 Hairdressers, barbers, beauticians and related workers 0
5142 Companions and valets 0
5143 Undertakers and embalmers 0
5149 Other personal services workers not elsewhere classified 0
5160 Protective services workers 0
5161 Fire-fighters 0
5162 Police officers 0
5163 Prison guards 0
5169 Protective services workers not elsewhere classified 0
5200 Models, salespersons and demonstrators 0
5210 Fashion and other models 0
5220 Shop, stall and market salespersons and demonstrators 0
6000 Skilled agricultural and fishery workers 993
6100 Skilled agricultural and fishery workers 0
6110 Market gardeners and crop growers 0
6111 Field crop and vegetable growers 0
6112 Gardeners, horticultural and nursery growers 0
6120 Animal producers and related workers 0
6121 Dairy and livestock producers 0
6122 Poultry producers 0
6129 Animal producers and related workers not elsewhere classifie 0
6130 Crop and animal producers 0
6140 Forestry and related workers 0
6141 Forestry workers and loggers 0
6142 Charcoal burners and related workers 0
6150 Fishery workers, hunters and trappers 0
6151 Aquatic life cultivation workers 0
6152 Inland and coastal waters fishery workers 0
6153 Deep-sea fishery workers 0
6154 Hunters and trappers 0
7000 Craft and related trades workers 3198
7100 Extraction and building trades workers 0
7110 Miners, shotfirers, stone cutters and carvers 0
7111 Miners and quarry workers 0
7112 Shotfirers and blasters 0
7113 Stone splitters, cutters and carvers 0
7120 Building frame and related trades workers 0
7121 Builders 0
7122 Bricklayers and stonemasons 0
7123 Concrete placers, concrete finishers and related workers 0
7124 Carpenters and joiners 0
7129 Building frame and related trades workers not elsewhere clas 0
7130 Building finishers and related trades workers 0
7131 Roofers 0
7132 Floor layers and tile setters 0
7133 Plasterers 0
7134 Insulation workers 0
7135 Glaziers 0
7136 Plumbers and pipe fitters 0
7137 Building and related electricians 0
7139 Building finishers and related trade workers not elsewhere c 0
7140 Painters, building structure cleaners and related trades wor 0
7141 Painters and related workers 0
7143 Building structure cleaners 0
7200 Metal, machinery and related trades workers 0
7210 Metal moulders, welders, sheet-metal workers, structural-met 0
7211 Metal moulders and coremakers 0
7212 Welders and flame cutters 0
7213 Sheet-metal workers 0
7214 Structural-metal preparers and erectors 0
7215 Riggers and cable splicers 0
7216 Underwater workers 0
7220 Blacksmiths, tool-makers and related trades workers 0
7221 Blacksmiths, hammer-smiths and forging-press workers 0
7222 Tool-makers and related workers 0
7223 Machine-tool setters and setter-operators 0
7224 Metal wheel-grinders, polishers and tool sharpeners 0
7230 Machinery mechanics and fitters 0
7231 Motor vehicle mechanics and fitters 0
7232 Aircraft engine mechanics and fitters 0
7233 Agricultural- or industrial-machinery mechanics and fitters 0
7240 Electrical and electronic equipment mechanics and fitters 0
7241 Electrical mechanics fitters and services 0
7242 Electronics mechanics, fitters and servicers 0
7244 Telegraph and telephone installers and servicers 0
7245 Electrical line installers, repairers and cable jointers 0
7300 Precision, handicraft, craft printing and related trades wor 0
7310 Precision workers in metal and related materials 0
7311 Precision-instrument makers and repairers 0
7312 Musical-instrument makers and tuners 0
7313 Jewellery and precious-metal workers 0
7320 Potters, glass-makers and related trades workers 0
7321 Abrasive wheel formers, potters and related workers 0
7322 Glass-makers, cutters, grinders and finishers 0
7323 Glass engravers and etchers 0
7324 Glass, ceramics and related decorative painters 0
7330 Handicraft workers in wood, textile, leather and related mat 0
7331 Handicraft workers in wood and related materials 0
7332 Handicraft workers in textile, leather and related materials 0
7340 Craft printing and related trades workers 0
7341 Compositors, typesetters and related workers 0
7342 Stereotypers and electrotypers 0
7343 Printing engravers and etchers 0
7344 Photographic and related workers 0
7345 Bookbinders and related workers 0
7346 Silk-screen, block and craft textile printers 0
7400 Other craft and related trades workers 0
7410 Food processing and related trades workers 0
7411 Butchers, fishmongers and related food preparers 0
7412 Bakers, pastry-cooks and confectionery makers 0
7413 Dairy-products workers 0
7414 Fruit, vegetable and related preservers 0
7415 Food and beverage tasters and graders 0
7416 Tobacco preparers and tobacco products makers 0
7420 Wood treaters, cabinet-makers and related trades workers 0
7421 Wood treaters 0
7422 Cabinetmakers and related workers 0
7423 Woodworking machine setters and setter-operators 0
7424 Basketry weavers, brush makers and related workers 0
7430 Textile, garment and related trades workers 0
7431 Fibre preparers 0
7432 Weavers, knitters and related workers 0
7433 Tailors, dressmakers and hatters 0
7434 Furriers and related workers 0
7435 Textile, leather and related pattern-makers and cutters 0
7436 Sewers, embroiderers and related workers 0
7437 Upholsterers and related workers 0
7440 Pelt, leather and shoemaking trades workers 0
7441 Pelt dressers, tanners and fellmongers 0
7442 Shoe-makers and related workers 0
8000 Plant and machine operators and assemblers 2028
8100 Stationary plant and related operators 0
8110 Mining and mineral-processing-plant operators 0
8111 Mining plant operators 0
8112 Mineral-ore and stone-processing-plant operators 0
8113 Well drillers and borers and related workers 0
8120 Metal-processing plant operators 0
8121 Ore and metal furnace operators 0
8122 Metal melters, casters and rolling-mill operators 0
8123 Metal heat-treating-plant operators 0
8124 Metal drawers and extruders 0
8130 Glass, ceramics and related plant operators 0
8131 Glass and ceramics kiln and related machine operators 0
8139 Glass, ceramics and related plant operators not elsewhere cl 0
8140 Wood-processing- and papermaking-plant operators 0
8141 Wood-processing-plant operators 0
8142 Paper-pulp plant operators 0
8143 Papermaking-plant operators 0
8150 Chemical-processing-plant operators 0
8151 Crushing-, grinding- and chemical-mixing-machinery operators 0
8152 Chemical-heat-treating-plant operators 0
8153 Chemical-filtering- and separating-equipment operators 0
8154 Chemical-still and reactor operators (except petroleum and n 0
8155 Petroleum- and natural-gas-refining-plant operators 0
8159 Chemical-processing-plant operators not elsewhere classified 0
8160 Power-production and related plant operators 0
8161 Power-production plant operators 0
8162 Steam-engine and boiler operators 0
8163 Incinerator, water-treatment and related plant operators 0
8170 Industrial robot operators 0
8200 Machine operators and assemblers 0
8210 Metal- and mineral-products machine operators 0
8211 Machine-tool operators 0
8212 Cement and other mineral products machine operators 0
8220 Chemical-products machine operators 0
8221 Pharmaceutical-and toiletry-products machine operators 0
8222 Ammunition- and explosive-products machine operators 0
8223 Metal finishing-, plating- and coating-machine operators 0
8224 Photographic-products machine operators 0
8229 Chemical-products machine operators not elsewhere classified 0
8230 Rubber- and plastic-products machine operators 0
8231 Rubber-products machine operators 0
8232 Plastic-products machine operators 0
8240 Wood-products machine operators 0
8250 Printing-, binding- and paper-products machine operators 0
8251 Printing-machine operators 0
8252 Book-binding-machine operators 0
8253 Paper-products machine operators 0
8260 Textile-, fur- and leather-products machine operators 0
8261 Fibre-preparing-, spinning- and winding-machine operators 0
8262 Weaving- and knitting-machine operators 0
8263 Sewing-machine operators 0
8264 Bleaching-, dyeing- and cleaning-machine operators 0
8265 Fur- and leather-preparing-machine operators 0
8266 Shoemaking- and related machine operators 0
8269 Textile-, fur- and leather-products machine operators not el 0
8270 Food and related products machine operators 0
8271 Meat- and fish-processing-machine operators 0
8272 Dairy-products machine operators 0
8273 Grain- and spice-milling-machine operators 0
8274 Baked-goods, cereal- and chocolate-products machine operator 0
8275 Fruit-, vegetable- and nut-processing-machine operators 0
8276 Sugar production machine operators 0
8277 Tea-, coffee- and cocoa-processing-machine operators 0
8278 Brewers, wine and other beverage machine operators 0
8279 Tobacco production machine operators 0
8280 Assemblers 0
8281 Mechanical-machinery assemblers 0
8282 Electrical-equipment assemblers 0
8283 Electronic-equipment assemblers 0
8284 Metal-, rubber- and plastic-products assemblers 0
8285 Wood and related products assemblers 0
8286 Paperboard, textile and related products assemblers 0
8287 Composite products assemblers 0
8290 Other machine operators not elsewhere classified 0
8300 Drivers and mobile plant operators 0
8310 Locomotive engine drivers and related workers 0
8311 Locomotive engine drivers 0
8312 Railway brakers, signallers and shunters 0
8320 Motor vehicle drivers 0
8321 Motorcycle drivers 0
8322 Car, taxi and van drivers 0
8323 Bus and tram drivers 0
8324 Heavy truck and lorry drivers 0
8330 Agricultural and other mobile plant operators 0
8331 Motorised farm and forestry plant operators 0
8332 Earth-moving and related plant operators 0
8333 Crane, hoist and related plant operators 0
8334 Lifting-truck operators 0
8340 Ships´ deck crews and related workers 0
9000 Elementary occupations 2585
9100 Sales and services elementary occupations 0
9110 Street vendors and related workers 0
9111 Street vendors 0
9113 Door-to-door and telephone salespersons 0
9120 Shoe cleaning and other street services elementary occupatio 0
9130 Domestic and related helpers, cleaners and launderers 0
9131 Domestic helpers and cleaners 0
9132 Helpers and cleaners in offices, hotels and other establishm 0
9133 Hand-launderers and pressers 0
9140 Building caretakers, window and related cleaners 0
9141 Building caretakers 0
9142 Vehicle, window and related cleaners 0
9150 Messengers, porters, doorkeepers and related workers 0
9151 Messengers, package and luggage porters and deliverers 0
9152 Doorkeepers, watchpersons and related workers 0
9153 Vending-machine money collectors, meter readers and related 0
9160 Garbage collectors and related labourers 0
9161 Garbage collectors 0
9162 Sweepers and related labourers 0
9200 Agricultural, fishery and related labourers 0
9210 Agricultural, fishery and related labourers 0
9211 Farm-hands and labourers 0
9212 Forestry labourers 0
9213 Fishery, hunting and trapping labourers 0
9300 Labourers in mining, construction, manufacturing and transpo 0
9310 Mining and construction labourers 0
9311 Mining and quarrying labourers 0
9312 Construction and maintenance labourers: roads, dams and simi 0
9313 Building construction labourers 0
9320 Manufacturing labourers 0
9330 Transport labourers and freight handlers 0
9996 Not classified;inadequately described 241
0 NAP,NAV, No spouse, never had a job 20372
9997 Refused 236
9998 Dont know 709
9999 Na 895
Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
21958 22212 110 9996

Valid range from 110 to 9996

ager

Valid cases Invalid cases Minimum Maximum Arithmetic mean Standard deviation
44170 0 1 9 3.941 2.244

Valid range from 1 to 9

Materials of the Study

  1. Mednarodna splošna družboslovna anketa = International Social Survey Programme (maj 2002). ISSP03 - International Social Survey Programme: National Identity II [vprašalnik].
  2. International Labour Organization (1991). International Occupation Codes: ILO/ISCO 1988.

Study Results Materials

  1. Zentralarchiv für Empirische Sozialforschung (2006). ISSP03 - National Identity II - study profile [ostali dokumenti].

Related Publications

  1. Mednarodna splošna družboslovna anketa = International Social Survey Programme (oktober 2005). ISSP03 - National Identity II [datoteka kodirne knjige].
  2. Mednarodna splošna družboslovna anketa = International Social Survey Programme (2006). Mednarodna splošna družboslovna anketa = International Social Survey Programme - home page.
  3. Zentralarchiv für Empirische Sozialforschung (2006). ISSP - The International Social Survey Programme.

Access to data and documentation - Nesstar


TERMS OF USE:

The Slovenian Social Science Data Archives does not distribute data of this study. For more information please contact the author or the responsible organization.

Opis

download data | study description

DOCUMENTATION STATUS

3 - Polni opis raziskave in kodirna knjiga z imeni spremenljivk iz podatkovne datoteke.

CLASS OF THE STUDY

9 - najvišji rang, primerjalne ali kontinuirane raziskave, pomembne populacije, metodološko ustrezne

  How to CITE this study?

International Social Survey Programme. (2006). Mednarodna splošna družboslovna anketa (ISSP), 2003: Nacionalna identiteta II [Data file]. Ljubljana: University of Ljubljana, Slovenian Social Science Data Archives. ADP - IDNo: ISSP03. Accessible at http://www.adp.fdv.uni-lj.si/opisi/issp03/

COBISS.SI
Publication date: 2006

SIMILAR STUDIES

ISSP - Mednarodna splošna družboslovna anketa: Opis serije

ISSP00 - Mednarodna splošna družboslovna anketa (ISSP): Ekologija II

ISSP01 - Mednarodna splošna družboslovna anketa (ISSP): Družbeni stiki II

ISSP02 - Mednarodna splošna družboslovna anketa (ISSP), 2002: Družina III

ISSP04 - Mednarodna splošna družboslovna anketa (ISSP), 2004: Razumevanje vloge državljana

ISSP05 - Mednarodna splošna družboslovna anketa (ISSP), 2005: Stališča o delu III

ISSP06 - Mednarodna splošna družboslovna anketa (ISSP), 2006: Vloga države IV

ISSP07 - Mednarodna splošna družboslovna anketa (ISSP), 2007: Prosti čas in šport I

ISSP08 - Mednarodna splošna družboslovna anketa (ISSP), 2008: Religija III

ISSP09 - Mednarodna splošna družboslovna anketa (ISSP), 2009: Družbena neenakost IV

ISSP10 - Mednarodna splošna družboslovna anketa (ISSP), 2010: Okolje III

ISSP11 - Mednarodna splošna družboslovna anketa (ISSP), 2011: Zdravje

ISSP12 - Mednarodna splošna družboslovna anketa (ISSP), 2012: Družina in spreminjanje spolnih vlog IV

ISSP13 - Mednarodna splošna družboslovna anketa (ISSP), 2013: Nacionalna identiteta III

ISSP14 - Mednarodna splošna družboslovna anketa (ISSP), 2014: Razumevanje vloge državljana II

ISSP15 - Mednarodna splošna družboslovna anketa (ISSP), 2015: Stališča o delu IV

ISSP16 - Mednarodna splošna družboslovna anketa (ISSP), 2016: Vloga države V

ISSP85 - Mednarodna splošna družboslovna anketa (ISSP): Vloga države I

ISSP86 - Mednarodna splošna družboslovna anketa (ISSP): Družbeni stiki

ISSP87 - Mednarodna splošna družboslovna anketa (ISSP): Neenakost I

ISSP88 - Mednarodna splošna družboslovna anketa (ISSP): Družina I

ISSP89 - Mednarodna splošna družboslovna anketa (ISSP): Stališča o delu I

ISSP90 - Mednarodna splošna družboslovna anketa (ISSP): Vloga države II

ISSP91 - Mednarodna splošna družboslovna anketa (ISSP): Mednarodna raziskava o vernosti in cerkvi I

ISSP92 - Mednarodna splošna družboslovna anketa (ISSP): Neenakost II

ISSP93 - Mednarodna splošna družboslovna anketa (ISSP): Ekologija

ISSP94 - Mednarodna splošna družboslovna anketa (ISSP): Družina II

ISSP95 - Mednarodna splošna družboslovna anketa (ISSP): Mednarodna raziskava narodne identitete

ISSP96 - Mednarodna splošna družboslovna anketa (ISSP): Vloga države III

ISSP97 - Mednarodna splošna družboslovna anketa (ISSP): Stališča o delu II

ISSP98 - Mednarodna splošna družboslovna anketa (ISSP): Raziskava o vernosti in cerkvi II

ISSP99 - Mednarodna splošna družboslovna anketa (ISSP): Neenakost III

ISSP_90 - Mednarodna splošna družboslovna anketa (ISSP) 1985/90: Vloga države (Skupna datoteka 1985 in 1990)

ISSPSJ89 - ISSP85/91: Vloga države, Slovenija, 1989: Izbor iz ankete Slovensko javno mnenje, 1989; Stališča o ustavnih spremembah

SJM002 - Slovensko javno mnenje 2000/2: Raziskava o okolju in raziskava o medčloveških stikih (ISSP)

SJM032 - Slovensko javno mnenje 2003/2: Mednarodna raziskava o družini in narodni identiteti in Stališča o lokalni demokraciji

SJM034 - Slovensko javno mnenje 2003/4: Razumevanje vloge državljana / Mednarodna raziskava ISSP

SJM051 - Slovensko javno mnenje 2005/1: Mednarodna raziskava Stališča o delu

SJM062 - Slovensko javno mnenje 2006/2: Mednarodni raziskavi: Vloga države (ISSP 2006); Prosti čas in šport (ISSP 2007)

SJM091 - Slovensko javno mnenje 2009/1: Mednarodna raziskava: religija (ISSP 2008) in družbene neenakosti (ISSP 2009)

SJM111 - Slovensko javno mnenje 2011/1: Mednarodna raziskava o okolju (ISSP 2010), zdravju in zdravstvenem varstvu (ISSP 2011), o odnosu delo-družina in psihičnem nasilju na delovnem mestu

SJM121 - Slovensko javno mnenje 2012/1: Raziskava o nacionalni in mednarodni varnosti, Mednarodna raziskava o družini in spreminjanju spolnih vlog IV., Primerjalna raziskava volilnih sistemov CSES V. in Longitudinalni program SJM 2012

SJM13 - Slovensko javno mnenje 2013: Mednarodna raziskava Nacionalna identiteta, mednarodna raziskava Razumevanje vloge državljana in Ogledalo javnega mnenja

SJM15 - Slovensko javno mnenje 2015: Mednarodna raziskava Stališča o delu (ISSP 2015), Mednarodna raziskava Stališča o vlogi države (ISSP 2016), Ogledalo javnega mnenja in raziskava Stališča o varnosti

SJM191 - Slovensko javno mnenje 2019/1: Ogledalo javnega mnenja, Mednarodna raziskava o vernosti in cerkvi, Raba obnovljivih virov energije, Vegetarijanstvo in veganstvo, Odnos do nudenja prve pomoči, Uporaba interneta in internetnih družbenih omrežij, Sovražni govor

SJM192 - Slovensko javno mnenje 2019/2: Stališča o neenakosti (ISSP), Ogledalo javnega mnenja, Odnos do dela in družine

SJM203 - Slovensko javno mnenje 2020/3: Ogledalo javnega mnenja, Odnos do okolja (ISSP 2020), Mediji in problematika migracij, Odnos do uporabe pripravkov iz industrijske konoplje

SJM912 - Slovensko javno mnenje 1991/2: Slovenska družba na prehodu v demokracijo in mednarodna raziskava o vernosti in cerkvi

SJM922 - Slovensko javno mnenje 1992/2: Mednarodna raziskava o neenakosti in socialno-ekonomskih orientacijah

SJM932 - Slovensko javno mnenje 1993/2: Mednarodna raziskava o okolju in družini

SJM944 - Slovensko javno mnenje 1994/4: Mednarodna raziskava narodne identitete

SJM954 - Slovensko javno mnenje 1995/4: Mednarodna raziskava razumevanje vloge države in socialno politične orientacije

SJM973 - Slovensko javno mnenje 1997/3: Mednarodna raziskava Stališča o delu in ekološka sondaža

SJM981 - Slovensko javno mnenje 1998/1: Mednarodna raziskava o neenakosti in religiji

SJMUST89 - Slovensko javno mnenje, 1989: Stališča o ustavnih dopolnilih

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