issp 2003 national identity ii - codebook za study...

GESIS Zentralarchiv fürEmpirische Sozialforschung

Codebook ZA Study 3910

I S S P 2 0 0 3

N a t i o n a l I d e n t i t y I I

Participating Nations: Austria Australia Bulgaria Canada Chile Czech Republic Denmark Finland France Germany Great Britain Hungary Ireland Israel Japan Latvia New Zealand Norway Philippines Poland Portugal Russia Slovakian Republic Slovenia South-Africa South-Korea Spain Sweden Switzerland Taiwan Uruguay United States Venezuela

Zentralarchiv fuer Empirische Sozialforschung an der Universitaet zu Koeln Bachemer Str. 40 D-50931 Koeln Tel: (+) 49 221-4 7694 - 0 Fax: (+) 49 221-4 7694 - 44 e-mail: [email protected] URL: http://www.gesis.org/ZA/ First complete edition: October 2005

mailto:[email protected]

ZA-No. 3910 I S S P 2003 National Identity II Page I - 1

Table of Contents Preface Acknowledgement of Assistance ............................................................................................... 3

An Introduction to the ISSP ....................................................................................................... 5

The International Social Survey Programme ............................................................... 5

ISSP Modules 1985 - 2003........................................................................................... 6

The ISSP Members Institute Addresses & ISSP Contacts ........................................... 7

Study Descriptions.................................................................................................................... 17

Study Description: Australia ................................................................................... 18

Study Description: Austria ...................................................................................... 21

Study Description: Bulgaria .................................................................................... 23

Study Description: Canada ...................................................................................... 26

Study Description: Chile ......................................................................................... 29

Study Description: Czech Republic......................................................................... 38

Study Description: Denmark ................................................................................... 40

Study Description: Finland...................................................................................... 44

Study Description: France ....................................................................................... 48

Study Description: Germany ................................................................................... 50

Study Description: Great Britain ............................................................................ 53

Study Description: Hungary .................................................................................... 56

Study Description: Ireland....................................................................................... 60

Study Description: Israel ......................................................................................... 63

Study Description: Japan ......................................................................................... 65

Study Description: Latvia ........................................................................................ 70

Study Description: New Zealand............................................................................. 72

Study Description: Norway ..................................................................................... 79

Study Description: Philippines ................................................................................ 82

Study Description: Poland ....................................................................................... 91

Study Description: Portugal..................................................................................... 96

Study Description: Russia ..................................................................................... 103

Study Description: Slovakian Republic.................................................................. 106

Study Description: Slovenia................................................................................... 108

Study Description: South-Africa ............................................................................ 110


Study Description: South-Korea ............................................................................ 114

Study Description: Spain ....................................................................................... 117

Study Description: Sweden ................................................................................... 119

Study Description: ...................................................................................Switzerland

125

Study Description: Taiwan .................................................................................... 129

Study Description: Uruguay .................................................................................. 131

Study Description: USA ........................................................................................ 136

Study Description: Venezuela ............................................................................... 138

Codebook Information............................................................................................................ 141

Explanations ........................................................................................................................... 142

Codebook Part

Data adocumentation and Cross-national Frequencies............................................................... 1

Socio-demographic variables ................................................................................................ 167

Appendix: Notes ..................................................................................................................... 296

International Occupation Codes: ILO/ISCO 1988 ................................................................. 296

Variable List ........................................................................................................................... 306

JaimeDiezNoteAccepted set by JaimeDiez

JaimeDiezNoteMigrationConfirmed set by JaimeDiez

JaimeDiezNoteMigrationConfirmed set by JaimeDiez

JaimeDiezNoteCompleted set by JaimeDiez


Acknowledgement of Assistance All manuscripts utilizing data made available through the “Zentralarchiv fuer empirische Sozialforschung“ should acknowledge that fact as well as identify the original collectors of the data. We kindly ask all users to follow some adaptation of the following statement: The data utilized in this (publication) were documented and made available by the

ZENTRALARCHIV FUER EMPIRISCHE SOZIALFORSCHUNG, KOELN. The data for the 'ISSP' were collected by independent institutions in each country (see principal investigators in the study-description-schemes for each participating country). Neither the original data collectors nor the ZENTRALARCHIV bear any responsibility for the analyses or conclusions presented here

In order to provide funding agencies with essential information about the use of archival resources and to facilitate the exchange of information about research activities based on the ZENTRALARCHIV's holdings, each user is expected to send two copies of every completed manuscript to the ZENTRALARCHIV. The production and documentation of the annual ISSP integrated files are done in alternating years by the Zentralarchiv fuer empirische Sozialforschung as the archive of the ISSP, Cologne, Germany, and by ASEP/JDS, Madrid, Spain. The present codebook and data file for the ISSP module 2003 (National Identity II) were produced by ASEP/JDS.


Please note All marginal frequencies in this documentation are calculated from unweighted data! Please also consider that - especially in the section of the background variables – identical value codes of certain variables may not always have the same meaning for each country. Such country-specific differences are documented in this codebook.


An Introduction to the ISSP - the International Social Survey Programme The ISSP is a continuing annual programme of cross-national collaboration on surveys covering topics which are important for social science research. It brings together existing social science projects and coordinates research goals. Thereby the ISSP adds a cross-national, cross-cultural perspective to the national studies. As of 2004, thirty-nine countries are members of the ISSP. The founding stones of the ISSP were laid in 1983 when SCPR, London, secured funds from the Nuffield Foundation to hold meetings to further international collaboration between four existing surveys - the General Social Survey, conducted by NORC in the USA, the British Social Attitudes Survey, conducted by SCPR in Great Britain, the Allgemeine Bevölkerungsumfrage der Sozialwissenschaften, conducted by ZUMA in West Germany and the National Social Science Survey, conducted by ANU in Australia. Prior to this, NORC and ZUMA had been collaborating bilaterally on a common set of questions since 1982. The founding members agreed (1) to jointly develop modules addressing important areas of social science, (2) to field the modules as fifteen-minute supplements to the regular national surveys (or a special survey if necessary), (3) to include an extensive common core of background variables and (4) to make the data available to the social science community as quickly as possible. Each research organisation funds its own costs, there are no central funds. Merging and archiving of the data into a cross-national data set is performed by the Zentralarchiv fuer Empirische Sozialforschung, University of Cologne. Since 1997, the Zentralarchiv and the Spanish institute ASEP (Análisis Sociológicos Económicos y Políticos) share the task of merging the national data sets. Since its conception in 1984, 40 nations have participated in the ISSP: the founding four - Australia, Germany, Great Britain and the United States - plus Austria, Bangladesh, Brazil, Bulgaria, Canada, Chile, Cyprus, the Czech Republic, Denmark, Finland, Flanders, France, Hungary, Israel, Ireland, Italy, Japan, Latvia, Mexico, the Netherlands, New Zealand, Norway, the Philippines, Poland, Portugal, Russia, the Slovakian Republic, Slovenia, South Africa, South Korea, Spain, Sweden, Switzerland, Taiwan, Uruguay and Venezuela. The topics for each ISSP survey are developed over several years by a committee and are pre-tested in various countries. The annual plenary meeting of the ISSP then adopts the final questionnaire. ISSP questions have to be relevant to all countries and must be expressed in an equivalent manner in all languages. The questionnaire is originally drafted in British English and then translated to the languages of the member countries. The ISSP marks several new departures in the area of cross-national research: (1), the collaboration between members is organised in a stable framework.(2), the ISSP makes cross-national research an integral part of the research agendas of participating countries. (3), by combining a cross-time perspective with a cross-national perspective, two powerful research designs can be used to study societal processes.


ISSP Modules 1985 - 2007 Surveys Already Fielded and Archived ISSP 1985 Role of Government I ZA No. 1490 ISSP 1986 Social Networks and Support Systems ZA No. 1620 ISSP 1987 Social Inequality I ZA No. 1680 ISSP 1988 Family and Changing Gender Roles I ZA No. 1700 ISSP 1989 Work Orientations I ZA No. 1840 ISSP 1990 Role of Government II ZA No. 1950 ISSP 1991 Religion I ZA No. 2150 ISSP 1992 Social Inequality II ZA No. 2310 ISSP 1993 Environment I ZA No. 2450 ISSP 1994 Family and Changing Gender Roles II ZA No. 2620 ISSP 1995 National Identity ZA No. 2880 ISSP 1996 Role of Government III ZA No. 2900 ISSP 1997 Work Orientations II ZA No. 3090 ISSP 1998 Religion II ZA No. 3190 ISSP 1999 Social Inequality III ZA No. 3430 ISSP 2000 Environment II ZA No. 3440 ISSP 2001 Social Relations and Support Systems ZA No. 3680 ISSP 2002 Family and Changing Gender Roles III ZA No. 3880 ISSP 2003 National Identity II ZA No. 3910 Currently Conducted or Planned Surveys ISSP 2004 Citizenship ISSP 2005 Work Orientation III ISSP 2006 Role of Government IV ISSP 2007 Leisure Time and Sports


The ISSP Members Institute Addresses & ISSP Contacts An up to date list of member organisations is always available at the ISSP World Wide Web site: http://www.issp.org Secretariat Knut Kalgraff Skjåk,

Bjørn Henrichsen, Kirstine Kolsrud, NSD (Norwegian Social Science Data Services) Hans Holmboesgate 22 N - 5007 Bergen NORWAY

• Tel: 0047-55-583-246 • Fax: 0047-55-589-650

Archive Markus Quandt,

Wolfgang Jagodzinski Zentralarchiv für Empirische Sozialforschung (ZA) Universitaet zu Koeln Bachemer Str. 40 50931 Koeln GERMANY

• Tel: 0049-221-47694-0 • Fax: 0049-221-47694-44

Australia Rachel Gibson,

ACSPRI Centre for Social Research (ACSR) Research School of Social Sciences Canberra, ACT 0200 The Australian National University AUSTRALIA

• Tel: +61-(0)2-6125-3111/2136 • Fax: +61-(0)2-6125-2992

Austria Max Haller,

Franz Hoellinger, Markus Hadler, Institute of Sociology University of Graz Universitaetsstraße 15/G4 A-8010 Graz AUSTRIA

• Tel: 0043-316-380-3541 • Fax: 0043-316-380-9515

http://www.issp.org/


Brazil Maria Celi Scalon, Instituto Universitario de Pesquisas do Rio de Janeiro Rua da Matriz, 82 22260-100 Botafago Rio de Janeiro BRAZIL

• Tel: +0055-21-2537-8020 • Fax: +0055-21-2286-7146

Bulgaria Lilia Dimova,

Agency for Social Analyses 1 Macedonia Sq. 1040 Sofia BULGARIA

• Tel: 00359-2-917-0455 • Fax: 00359-2-986-1072

Canada Heather Pyman,

Jon Pammett, Carleton University Survey Centre Carleton University 346 St. Patrick's Building Ottawa CANADA KIS 5B6

• Tel: 001-613-520-2600 • Fax: 001-613-520-6690

Chile Carolina Segovia,

Centro de Estudios Publicos Monsenor Sótero Sanz 175 Providencia Santiago CHILE

• Tel: 0056-2-231-5324 • Fax: 0056-2-233-5253

Cyprus Bambos Papageorgiou,

Centre of Applied Research Cyprus College 6 Diogenes Street Engomi P.O. Box 2006 Nicosia CYPRUS

• Tel: 00357-2-713-175 • Fax: 00357-2-664-531


Czech Republic Petr Mateju, Institute of Sociology Academy of Sciences of the Czech Republic Jilska 1 110 00 Praha 1 CZECH REPUBLIC

• Tel: 0042-2-2222-0678 • Fax: 0042-2-2222-1658

Denmark Jørgen Goul Andersen,

Johannes Andersen, Mette Tobiasen Department of Economics, Politics and Public Administration Aalborg University Fibigerstraede 1 DK-9220 Aalborg DENMARK

• Tel: 0045-9635-8173 • Fax: 0045-9815-5346

Finland Professor Raimo Blom,

Professor Harri Melin, Department of Sociology and Social Psychology FIN-33014 University of Tampere FINLAND

• Tel: 00358-3-215-6566/7019 • Fax: 00358-3-215-6080

Eero Tanskanen, Survey Research Unit FIN-00022 Statistics Finland FINLAND

• Tel: 00358-9-1734-2549 • Fax: 00358-9-1734-3562

Sami Borg, FSD Finnish Social Science Data Archive FIN-33014 University of Tampere FINLAND

• Tel: 00358-3-215-8519 • Fax: 00358-3-215-8520


Flanders Ann Carton, Administration of Planning and Statistics – Ministry of Flanders Boudewijnlaan 30 1000 Brussel Belgium

• Tel: 0032-2-553-5687 • Fax: 0032-2-553-5808

Jaak Billiet, Department of Sociology Katholic Universiteit Leuven E.Van Evenstraat 2B B-3000 Leuven BELGIUM

• Tel: 0032-16-323157 • Fax: 0032-16-323365

France Yannick Lemel,

FRANCE-ISSP Association (Centre de Rechere en Économie et Statistique) Laboratorie de Sociologie Quanitative Timbre J350-Bureau E33 bis 92240 Malkoff Cedex FRANCE Pierre Bréchon, Bruno Cautres CIDSP (Centre d'Infomatisation des Données Socio-Politiques) Institut d'Études Politiques de Grenoble Domaine Universitaire BP 45 38402 St. Martin D'Heres Cedex FRANCE

L. Chauvel, M. Forsé OFCE (Observatorie Français des Conjonctures Économiques) 69, Quai d'Orsay 75340 Paris Cedex 07 FRANCE A. Degenne

LASMAS (Laboratoire d'Analyse Secondaire et de Méthodes Appliquées en Sociologie) 59-61, rue Pouchet 75849 Paris Cedex 07 FRANCE


Germany Janet Harkness, Prof. Dr. Peter Mohler Evi Scholz, Sabine Klein ZUMA (Zentrum für Umfragen, Methoden, und Analysen) P. O. Box 12 21 55 68072 Mannheim GERMANY

• Tel: 0049-621-1246-284 • Fax: 0049-621-1246-100

Great Britain Alison Park,

Roger Jowell, National Centre for Social Research 35 Northampton Square London, EC1V OAX GREAT BRITAIN

• Tel: 0044-171-250-1866 • Fax: 0044-171-250-1524

Hungary Peter Robert,

TÁRKI RT Social Research Institute Budaorsi ut. 45 H-1112 Budapest HUNGARY

• Tel: 0036-1-309-7676 • Fax: 0036-1-309-7666

Ireland Marie Nic Ghiolla Phadraig (Director SSRC)

Conor Ward, Philippa Caithness (Senior Executive Assistant), SSRC (Social Science Research Centre) University College Dublin Dublin 4 IRELAND

• Tel: 00353-1-7167001 • Fax: 00353-1-7161125

Israel Noah Lewin-Epstein,

Eppie Yuchtman-Yaar Dept. of Sociology and Anthropology Tel Aviv University P.O. Box 39040, Ramat Aviv 69978 Tel Aviv ISRAEL

• Tel: 00972-3-6409-271/762 • Fax: 00972-3-6409-215


Italy Luca Diotallevi, CENSIS Piazza di Novella, 2 00199 Roma ITALY

• Tel: 0039-6-860911 • Fax: 0039-6-86211367

Japan Hiroshi Aramaki,

NHK, Broadcasting Culture Research Institute Public Opinion Research Division 2-1-1 Atago, Minato-ku Tokyo 105-0002 JAPAN

• Tel: 0081-3-5400-6800 • Fax: 0081-3-3438-4375

Latvia Aivars Tubuns,

Ausma Tabuna, Institute of Philosophy and Sociology Akademijas 1 LV-1940, Riga LATVIA

• Tel: 00371-7-227110 • Fax: 00371-7-210806

Mexico Federico Curiel Gutierrez,

Institute of Marketing and Opinion Paseo de la Reforma 90, Cuarto piso Mexico, D.F. 06600 MEXICO

• Tel: 0052-55-5535-6239 • Fax: 0052-33-3915-2626

Netherlands Harry Ganzeboom,

SCP (Sociaal en Cultureel Planbureau) Parnassusplein 5 PO Box 16164 2500 BD Den Haag THE NETHERLANDS

• Tel: 0031-70-340-7000 • Fax: 0031-70-340-7044


New Zealand Philip Gendall, Department of Marketing Massey University Private Bag 11222 Palmerston North NEW ZEALAND

• Tel: 0064-6-350-5582 • Fax: 0064-6-350-2260

Norway Knut Kalgraff Skjåk,

Bjørn Henrichsen, Kirstine Kolsrud, NSD (Norwegian Social Science Data Services) Hans Holmboesgate 22 N - 5007 Bergen NORWAY

• Tel: 0047-55-583-246 • Fax: 0047-55-589-650

Philippines Mahar Mangahas,

52 Malingap Street Sikatuna Village Quezon City 1101 PHILIPPINES

• Tel: 0063-2-926-4308 • Fax: 0063-2-920-2181

Poland Bogdan Cichomski,

ISS (Institute for Social Studies) University of Warsaw Stawki 5/7 00-183 Warsaw POLAND

• Tel: 0048-22-315-153 • Fax: 0048-22-315-153

Portugal Manuel Villaverde Cabral,

Alice Ramos, Instituo de Ciências Sociais University of Lisbon Av. Prof. Anibal Bettencourt, 9 1600-189 Lisbon PORTUGAL

• Tel: 00351-21-780-4700 • Fax: 00351-21-794-0274


Russia Ludmila Khakhulina, Levada Analytic Center 17, Nikolskaya str. Moscow 103829 RUSSIA

• Tel: 007-95-229-5545 • Fax: 007-95-200-4648

Slovakian Republic Magdalena Piscova,

Institute for Sociology Slovak Academy of Science Klemensova 19 81364 Bratislava SLOVAK REPUBLIC

• Tel: 00421-2-5296-4355 • Fax: 00421-2-5296-2315

Slovenia Mitja Hafner-Fink,

Public Opinion and Mass Communications Research Centre Faculty of Social Sciences University of Ljubljana Kardeljeva ploscad 5 1000 Ljubljana SLOVENIA

• Tel: 00386-1-580-5105 • Fax: 00386-1-580-5106

South Africa Jare Struwig,

Human Science Research Council Private Bag X41 Pretoria 0001 SOUTH AFRICA

• Tel: 0027-12-302-2487 • Fax: 0027-12-302-2525


Spain Juan Díez-Nicolás, ASEP (Análisis Sociológicos Económicos y Políticos) Po de la Castellana 173, 5o Izquierda 28046 Madrid SPAIN

• Tel: 0034-91-570-5107 • Fax: 0034-91-579-4073

Natalia Garcia Pardo,

CIS (Centro de Investigaciones Sociológicas) Montalbán 8 28014 Madrid SPAIN

• Tel: 0034-91-580-7664 • Fax: 0034-91-580-7619

South Korea Professor Sang-Wook Kim (Principle), Survey Research Center, Sungyunkwan University 53, Myungryun-Dong 3-Ga, Jongno-Gu Seoul, 110-745 Korea

• Tel: 0082-2-760-0412 • Fax: 0082-2-744-6169

Dr. Sook Hee, Choi, Samsung Economic Research Institute 7th Floor, Kukje Center Bldg. 191 hangangro 2-Ga, Yongsan-Gu Seoul, 140-702 Korea

• Tel: 0082-2-3780-8065 • Fax: 0082-2-3780-8008

Sweden Jonas Edlund,

Dept. of Sociology University of Umeå 901 87 Umeå SWEDEN

• Tel: 0046-90-786-7822 • Fax: 0046-90-786-6694

Switzerland Dominique Joye,

SIDOS (Swiss Information and Data Archive for the Social Sciences) Ruelle Vaucher 13 CH-2000 Neuchâtel SWITZERLAND

• Tel: 0041-32-721-2002 • Fax: 0041-32-721-2074


Taiwan Yang-chih Fu, Institute of Sociology Academica Sinica Nankang, Taipei TAIWAN 11529

• Tel: 00886-2-2652-3359/3402 • Fax: 00886-2-2653-6488 • Fax: 00886-2-2651-0415

Uruguay Giorgina Piani,

Departamento de Economia, Facultad de Ciencias Sociales, Universidad de la Republica J. E. Rodo 1854 Montevideo Uruguay

• Tel: (734) 647-9255 (office) • Fax: (734) 332-7916 (home)

Maximo Rossi, Departamento de Economia, Facultad de Ciencias Sociales, Universidad de la Republica J. E. Rodo 1854 Montevideo Uruguay

• Tel: (598-2) 409-2973 (office)

U.S.A. Tom W. Smith, National Opinion Research Center (NORC) 1155 East 60th Street Chicago, IL 60637 U.S.A.

• Tel: 001-773-256-6288 • Fax: 001-773-753-7886

Venezuela Roberto Briceno-Leon,

LACSO (Laboratorio de Ciencias Sociales) Research School of Social Sciences Apartado Postal 47.795 Caracas 1041-A VENEZUELA

• Tel: 0058-212-6931765 0058-212-6619752

• Fax: 0058-414-6931765 0058-414-7534941


Study Descriptions To differentiate countries in the cross tabulations within this codebook we have decided to use the international ISO codes: Australia AU Austria AT Bulgaria BG Canada CA Chile CL Czech Republic CZ Denmark DK Finland FI France FR Germany (West) DE-W Germany (East) DE-E Great Britain GB Hungary HU Ireland IE Israel IL Japan JP Latvia LV New Zealand NZ Norway NO Philippines PH Poland PL Portugal PT Russia RU Slovakian Republic SK Slovenia SI South Korea KR South Africa ZA Spain ES Sweden SE Switzerland CH Taiwan TW Uruguay UY USA US Venezuela VE


Study Description: Australia Study title:

ISSP 2003 National Identity

Fieldwork dates:

Start: 27 August 2003 Finish: 24 December 2003

Principal investigators:

Rachel Gibson, Australian National University Shaun Wilson, Australian National University

Sample type:

The sample was stratified by Australian states and territories using population counts from the 2001 Census. The selection of individuals within the stratified sample was random using the Electoral Roll for Australia produced by the Australian Electoral Commission (AEC). The 2001 version of the Electoral Roll was updated for 2002 where state and territory elections had taken place. This frame includes all registered voters who must be citizens of Australia (or a British subject on a Commonwealth electoral roll as at 25 January 1984). Since voting in Australia is compulsory, there is a very high proportion of the adult Australia population covered by this frame— approximately 92 percent in 2003. The sampling method used a random number generator inserted as a field in the electoral roll database; individuals were sorted using the

random number and then selected in order. The sampled units were named individuals.

Fieldwork Institute:

Australian Social Science Data Archive

Fieldwork methods:

Self-completion, paper and pencil, mailed to, mailed back by respondent

Sample size: 2183 Response rates: 5696 A - Total issued 796 B – Not eligible (ill, dead, non-English speaking, not at this address ) 4900 C - Total eligible 2183 D - Total ISSP questionnaires received 2717 E - non-responses (including non-contact; see note above

under “sample type”) 283 F - Refusals (including questionnaires less than half filled in) 2374 G - Non-contact (included in “E”) 60 H - Other non-response (included in “E”) Language:

English

Weighted:

No

Weighting Procedure:


Known Systematic Properties:

Gross sample Using a sampling frame derived from the AEC Electoral Roll (2001) excludes permanent and temporary residents of Australia (who are not citizens) and any othe r adults in Australia who are non-citizens except for British subjects on a Commonwealth electoral roll as at 25 January 1984. These exclusions amount to approximately 8 percent of the adult population. Net sample The AUSSA 2003 sample demographics were compared with statistics available from the Australian Bureau of Statistics (ABS) including the 2001 Census. The major biases are: age (median age is older than the Census population), education (over-representation of persons with post-secondary school qualifications), and gender (slightover-representation of women).

Deviations from ISSP-questionnaire:

For V4-V6 “Most important group R identifies with”, the response categories were converted from numbers to letters (A, B, C….) after a piloting experiment revealed greater respondent accuracy with the latter. V8 “How close do you feel…”: response category was State or territory (appropriate internal regional breakdown for Australia. V10 “How close do you feel…”: response category was Asia (since Australia is both a continent and country)

All changes were approved by the ISSP prior to the fielding of the Survey.

Publications: Gibson, R. et al. The Australian Survey of Social Attitudes, 2003 [computer file]. Canberra: Australian Social Science Data Archive, The Australian National University, 2004.


ISSP Characteristics of National Population: Australia The following data are made available to the ISSP from statistics derived from the Australian Bureau of Statistics (ABS) publications including the June 2001 Census. Please note that the ABS does not compile data on years of schooling completed. In its place, we have used educational attainment data (see Table 3) to provide meaningful comparisons between the AuSSA 2003 sample and ABS data. For further information, please contact Shaun Wilson at [email protected] Table 1: Sex distribution of AuSSA sample versus Australian population (18 years and over)

AuSSA 2003 ABS – Census June 2001 difference

Male 46.9 49.1 -2.2

Female 53.1 50.9 +2.2 n=4,224 n=14,343,846 Source: Australian Survey of Social Attitudes, 2003; Australian Bureau of Statistics Pub. No. 3105.0.65.001 Australian Historical Population Statistics: TABLE 19 (Population age and sex, Australia, year ended 30

Table 2: Age distribution *


18-34 years 17.1 31.0 -13.9

35-49 30 30.2 -0.250-64 30.1 21.8 -5.9

65 and over 22.9 17.0 +5.9 n=4,212 n=14,343,846 Source: Australian Survey of Social Attitudes, 2003; Australian Bureau of Statistics Pub. No. 3105.0.65.001 Australian Historical Population Statistics: TABLE 19 (Population age and sex, Australia, year ended 30 June 2001) * 18-34 year statistic for ABS data calculated using linear interpolation methods

Table 3: Educational attainment *


Bachelor degree

and higher 25.7 14.6 +11.1

Certificate or diploma

34.5 38.5 -4.0

Year 12 and less 39.8 46.9 -7.1 n=3,267 n=11,578,000 Source: Australian Survey of Social Attitudes, 2003; Australian Bureau of Statistics Pub. No. 1301.0-2004 Year Book Australia: TABLE 10.36 (Level of highest non-school qualification, by age group, May 2002) * 20 – 64 years

Table 4: Labour force participation rate (employment rate)


In labour force 60.4 63.6 -3.2

Not in labout force 39.6 36.4 +3.2 n=4,207 n/a Source: Australian Survey of Social Attitudes, 2003; Australian Bureau of Statistics Pub. No. 6202.0.55.001 Labour Force, Australia, Spreadsheets: TABLE 01 (Labour force status by Sex - Trend, June 2001)


Study Description: Austria

Study title:

ISSP-Studie 2004: Nationale Identität; Bürger/innen und Staat (National Identity; Citizenship)

Fieldwork dates:

Nov. and Dec. 2004


Dr. Max Haller, Dr. Markus Hadler, Mag. Regina Ressler Institut für Soziologie, Karl-Franzens-Universität Graz, Austria

Sample type:: Stratified Multistage Clustered Random Sampling

Fieldwork institute: Institute for Empirical Social Research (IFES), Vienna

Fieldwork methods: Face-to-face interviews with trained interviewers

Sample size: 1006

Context of ISSP Questionnaire:

Social Survey Austria

Response rates: 2200 A – Total issued (total sample) 76 B – Ineligible (address vacant, wrong ages..)

2124 C – (=A – B) Total eligible (in scope sample) 1669 D – Total ISSP questionnaires received 663 E – (= C – D; = F + G + H) Total no response 278 F – Refusals (refusing to take part) 385 G – Non-contact (never contacted)

- H – Other non-response Language:

German

Weighted: Yes

Weighting procedure: A weighting variable was computed, taking into account sex, age group and province of residence.


ISSP Characteristics of National Population: Austria SOURCE

Census 2001 Statistics Austria

2004

SEX Male 48,4% Female 51,6% AGE (groups) 0-14 14,4% 15-19 5,2% 20-24 5,0% 25-29 5,7% 30-34 7,1% 35-39 7,5% 40-44 6,7% 45-49 5,6% 50-54 5,5% 55-59 4,8% 60-64 4,8% 65-69 3,5% 70-74 3,5% 75-79 3,1% 80-84 1,6% 85+ 1,5% EDUCATION (15 years and older)

Years of schooling University compl. (Universitaet oä.) 6,8% 15 Secondary compl. (hoehere Schule) 14,6% 12

Secondary incompl. (Lehre, Fachschule) 45,1% 11 Primary compl. (Pflichtschule) 33,5% 9

EMPLOYMENT STATUS (15-59 years) Employed (Erwerbsquote) 48,8% Unemployed 6,9% (annual average 2002) Not in labour force 24,7%


Study Description: Bulgaria Study title:

Social survey

Fieldwork dates:

April-May 2003


Dr. Lilia Dimova, Agency for Social Analyses (ASA)

Sample type:

Two-stage cluster sample, representative for the whole adult population of Bulgaria over 18 year of old.

Context of ISSP questionnaire how it is in the hard copy questionnaire

Qs A1,A2B – A15 = National Identity module (B 1-12; C 1 - 23; E 1 - 5, F 1 - 13, G 1 -6 = Roma issues) D1 – D12, D14 – D16, D17A, D18A, D19 – D20, D23 – D24, D28 - D30, D32, T2 –T4 = The ISSP Standard Background Variables (D13, D21- D22 = Roma issues)

Fieldwork methods:

Face-to-face interview at respondent’s home

Sample size: Achieve sample 1069 cases Response rates: 1200 A - Total issued (total sample) 17 B - Ineligible (address empty) 1183 C - (= A - B) Total eligible (in-scope sample) 1069 D - Total ISSP questionnaires received 114 E - (= C - D; = F + G + H) Total non-response 35 F - Refusals (refusing to take part) 73 G - Non-contact (never contacted, away for long) 6 H - Other (too sick) Language:

Bulgarian

Weighted:

No

Weighting Procedure: Deviations from ISSP-questionnaire:

Missing questions V18, V23, V24 – because of technical reasons.


ISSP Characteristics of National Population: Bulgaria Table 1. comparisons between population by administrative centres and the sample data

Administrative centres Hard data * Hard data structure (%) Sample data

(N=1 069)(%) Blagoevgrad 343370 4,31 4,5 Burgaz 426028 5,34 5,2 Varna 465012 5,83 5,7 Veliko Turnovo 294790 3,70 3,6 Vidin 131215 1,65 1,5 Bratza 244881 3,07 2,8 Gabrovo 144849 1,82 2,2 Dobrich 217012 2,72 2,7 Kardjali 164958 2,07 3,6 Kustendil 163388 2,05 2,2 Lovech 171236 2,15 2,2 Montana 183353 2,30 2,2 Pazardjik 313059 3,93 4,2 Pernik 150318 1,89 1,5 Pleven 313630 3,93 4,8 Plovdiv 721905 9,05 8,6 Razgrad 153156 1,92 2,2 Ruse 267618 3,36 3,1 Silistra 142815 1,79 2,2 Sliven 220273 2,76 3,0 Smolian 140664 1,76 1,5 Sofia - City 1173811 14,72 11,2 Sofia- Region 273882 3,43 3,8 Stara Zagora 372849 4,68 5,2 Targoviste 138703 1,74 1,4 Haskovo 279067 3,50 3,9 Shumen 205198 2,57 2,5 Yambol 156631 1,96 2,2 Total 7973671 100 100

Source: National Census, March 2001. Table 2. Ethnic distribution

National Census March 2001 Ethnic groups

Total %

Sample data % (N=1069)

Bulgarians 5705887 85,3 86,2 Turks 590022 8,8 7,3 Rma people/ Gypsi 249286 3,7 4,9 Others 100129 1,5 1,1 No answer 45961 0,7 0,6 Total 6691285 100 100


Table 3. gender distribution

Hard data* March 2001 Hard data

(%) Hard data**

End of 2002 Hard data

(%) Sample data

(%) Male 3 888 441 48.766 3 816 162 48.639 48.7 Female 4 085 232 51.234 4 029 679 51.361 51.3 Total 7 973 673 100 7 845 841 100 100

* Source: National Statistical Institute, National Census 2001 – 2% sample distribution ** Source: www.nsi.bg/Population/Population.htm

Table 4. characteristics of national population form

Demographics Hard data March 2001 (%)*Hard data (%) End of 2002** Sample data (%)

Sex 100 100 100 Male 48,8 48.6 48.7 Female 51,2 51.4 51.3 Urban/Rural distribution 100 100 100 Urban 69,0 69.6 68.8 Rural 31,0 30.4 31.2

Employment status 100 100 100

Employment rate 40.3 40.8 Unemployment rate 16.8 13.1 Not labor force 46.1 * National Statistical Institute, National Census 2001 – 2% sample distribution ** Source: www.nsi.bg/Population/Population.htm , www.nsi.bg/Labour/Labour.htm Table 4. urban distribution

March 2001*(%) Sample data N=1069 (%) Total 100 100 City 68,4 68,8 Village 31,6 31,2 Male 100 100 City 32,5 33,8 Village 15,6 15,0 Female 100 100 City 35,6 35,0 Village 16,3 16,3 * National Statistical Institute, National Census 2001 – 2% sample distribution

http://www.nsi.bg/Population/Population.htmhttp://www.nsi.bg/Population/Population.htmhttp://www.nsi.bg/Labour/Labour.htm


Study Description: Canada Study title:

2003 National Identity 2004 Citizenship

Fieldwork dates:

January 29th, 2004 – March 31st, 2004


Carleton University Survey Centre

Sample type:

Stratified Random


National Identity with Citizenship

Fieldwork methods: Self-completion Mail Sample size: Achieve sample 1069 cases Sampling method A stratified random sample (by province by gender) of 3,000

Canadian residents was purchased from Cornerstone List Brokerage, based on residential phone listings. (% of Canadians without phones < 2%) The design consisted of two mailouts and 1 reminder notice. The first mailout of 3,000 packages was mailed on January 29, 2004 and included a questionnaire, explanatory letter printed on the front cover and a postage paid return envelope. On February 10th a reminder postcard was mailed out to the entire sample. On February 26th a second mailout was sent to the respondents who had not returned their survey along with a additional letter explaining the importance of their participation in the project.

Response rates: Process

1st wave -Initial mailout -January 29th 3000 Returned as of Feb.24th 678 2nd wave – reminder cards -February 10th 3000 3rd wave – 2nd full mailout -February 26th 2322

Returned as of March 31st 600 Total Returned Surveys 1278

Composition 40 returned refused 27 incomplete 1211 complete

Sample report


Sampling Frame 3,000 Returned to sender • address incomplete 60 • moved/not picked up 55 • deceased 11 Total viable sample 3,000-126 = 2,874 Response rate 43%

Language:

French and English

Weighted:

Yes

Weighting Procedure:

Weighted by province and age

Publications: None


ISSP Characteristics of National Population: Canada Source: Statistics Canada Gender Male 49.52 Female 50.48 Employment Employed 62.4 Unemployed 7.5 Not in labour force 30.10 Total years of schooling (population 18+) 1-9yr. 20.5 10-11yr. 19.0 12-13yr. 30.1 14+yr. 30.1 Population by sex and age group

2003 Canada Male Female Canada Male Female

Age group Persons (thousands) % of total of each group Total 31,629.7 15,661.7 15,967.9 100.0 100.0 100.00–4 1,714.3 877.3 837.0 5.4 5.6 5.25–9 1,949.7 998.6 951.1 6.2 6.4 6.010–14 2,117.6 1,084.8 1,032.9 6.7 6.9 6.515–19 2,120.5 1,088.8 1,031.8 6.7 7.0 6.520–24 2,188.5 1,119.0 1,069.5 6.9 7.1 6.725–29 2,118.1 1,074.0 1,044.2 6.7 6.9 6.530–34 2,228.7 1,124.8 1,103.9 7.0 7.2 6.935–39 2,481.2 1,247.4 1,233.8 7.8 8.0 7.740–44 2,719.3 1,364.3 1,355.0 8.6 8.7 8.545–49 2,515.7 1,251.6 1,264.2 8.0 8.0 7.950–54 2,176.5 1,078.8 1,097.7 6.9 6.9 6.955–59 1,842.5 913.9 928.5 5.8 5.8 5.860–64 1,396.8 684.8 712.0 4.4 4.4 4.565–69 1,147.9 552.2 595.7 3.6 3.5 3.770–74 1,039.1 484.2 554.9 3.3 3.1 3.575–79 839.4 358.8 480.7 2.7 2.3 3.080–84 583.7 221.6 362.0 1.8 1.4 2.385–89 297.0 97.2 199.7 0.9 0.6 1.390 and over 153.1 39.8 113.3 0.5 0.3 0.7Note: Population as of July 1. Source: Statistics Canada, CANSIM II, table 051-0001. Last modified: 2003-11-06.

http://cansim2.statcan.ca/cgi-win/cnsmcgi.exe?Lang=E&RootDir=CII/&ResultTemplate=CII/CII_pick&Array_Pick=1&ArrayId=510001


Study Description: Chile Study title:

Second National Public Opinion Study 2003

Fieldwork dates:

December 6th to 24th 2003


Carolina Segovia, Carla Lehmann and Paulina Valenzuela of Centro de Estudios Públicos

Sample type:

The guiding methodological principle underlying CEP's public opinion surveys is that effective and accurate survey research must be based on a truly representative sample of the universe in question. For CEP’s purpose, this universe is made up of Chilean adults 18 years of age and older. Our studies use a probability multistage cluster sample of 1,505 individuals.

The sample is designed in three stages, such that all adult individuals throughout the country have a calculable probability of being included. The 2002 Census data is consulted to determine the regional population structure of people 18 years of age and older. This makes it possible firstly to establish regional stratification and then each region is stratified by rural and urban zone. Table I shows the regional structure of the Chilean population.

Table I

Regional Breakdown of Population (%)

Region

% Population 18 years of age and older1

Region

% Population 18 years of age and older1

I Tarapacá 2,8 VII Maule 5,9

II Antofagasta 3,2 VIII Bío Bío 12,2

III Atacama 1,6 IX La Araucanía 5,6

IV Coquimbo 3,9 X Los Lagos 7,0

V Valparaíso 10,4 XI Aisén 0,6

VI Libertador Bdo.

O'Higgins 5,1

XII Magallanes and

Antarctic 1,0

XIII Metropolitan

(Santiago)

40,7

1Source: 2002 Census Data National Institute of Statistics.

Sampling Stages

First Stage

The first stage of the sampling process sets the number of completed interviews per cluster at 5; a cluster is defined as a block (manzana) or populated entity (entidad).1 The application of 5 interviews per cluster to the total number of interviews targeted in the sample (1,505) yields

1 Blocks (manzanas) are used in urban areas, while in rural areas the census equivalent is the entity (entidad).


301 primary sampling units (PSUs) to be identified in the first stage of sample selection.

The PSUs are proportionally distributed throughout the regions of the country, taking into account the region's contribution to population (both urban and rural), as described in Table II.

TABLE 2

Number of Clusters per Region Number of clusters Region Urban Rural Total

I Tarapacá 7 1 8 II Antofagasta 10 0 10 III Atacama 5 0 5 IV Coquimbo 9 3 12 V Valparaíso 28 3 31 VI Libertador Bdo. O'Higgins 10 5 15 VII Maule 12 6 18 VIII Bío Bío 30 7 37 IX La Araucanía 11 6 17 X Los Lagos 14 7 21 XI Aisén 2 0 2 XII Magallanes and Antarctic 3 0 3 XIII Metropolitan (Santiago) 118 4 122

TOTAL 259 42 301

Using the most reliable digital information on hand, i.e. 2002 census data, a cumulative listing of population by province (provincia), borough (comuna), district (distrito), zone (zona) and block (manzana) was prepared in the urban case; and by province, borough, district, locality (localidad) and entity (entidad) in the rural case (geographically arranged).

In both the rural and the urban case a fixed interval is set for each region by dividing the total population for that region by the number of PSU’s assigned to it. Within each region, a purely random selection process is followed, such that each individual (as represented by population statistics) has a calculable probability of being selected as the reference point for a PSU.

This is carried out through a computerised, random, proportionate-to-population process to select blocks in the urban areas and entities in the rural areas. A computer program is developed to select the 259 urban blocks and the 42 rural entities for the sample. All the blocks and entities are identified by number and located on a census map.


Second Stage

The second stage in the sampling process is to select households (dwellings) within PSUs. Selection rules for households within chosen blocks and entities are provided to interviewers, to enable them to select households randomly within each cluster. After taking a census of each selected block and entity, a random walk or systematic sampling2 procedure is followed, whereby every nth dwelling is included in the sample until a total of 5 households are identified.

Third Stage

The third stage is to select, within each household, a person to be interviewed. Interviewers are instructed to apply a random selection process (random number table) to identify the person to be interviewed.

Other Important Aspects in the CEP Sample Design

In the second and third stages, the interviewer has to make a minimum of three attempts on three different days to try to reach the original house or person to be interviewed. In these attempts the interviewer must deliver a letter signed by the CEP director explaining the nature of CEP and the aims of the study.

If the original household or person finally cannot be contacted, they are replaced. The rules for replacement are as follows:

A. Blocks and Entities

The replacement of a block or entity will occur only in the following situations:

1) Vacant lots that could not be detected prior to sample selection

2) Areas which are almost inaccessible

3) Entities and/or blocks intended basically for commercial use

4) Parks or stadiums

5) Areas belonging to the armed forces

Blocks and entities are randomly replaced: the original selection is replaced with the one whose identification number comes immediately before that of the original. If this is not successful, the block/entity with the identification number immediately following the original selection is taken.

2 The total number of numbered dwellings was divided by 5 (the number of interviews per cluster); this gave an interval length, such that if it was 43/5 =

8, starting from the point randomly pre-assigned as the first dwelling, the interviewers went to dwelling No 9, then to No 17, and so on until 5 interviews were completed.


B. Households

Failed dwellings are accounted for as follows:

1) by outright refusal to receive the interviewer, even having received the letter from the CEP director.

2) by the absence of occupants at a house after three visits on three different days (vacations or other reasons).

3) the house is unoccupied.

4) access denied (condominiums or buildings with security guards)

5) other special cases (foreigners with whom it is impossible to communicate, etc.)

Each failed dwelling is randomly replaced by another one from the same block/entity. The replacement interval is defined as (k-1), where k= the original selection interval. Starting from the last house originally selected, the interval (k-1) is added to select the first replacement house, and so on. The fieldwork treatment of replacement houses as regards the number of repeat visits is the same as for the original houses.

C. Individuals

Individuals are replaced under the following circumstances:

1) when the person selected refuses to answer the questionnaire, even after receiving the letter from the CEP director.

2) when the person selected cannot be located after three attempts on three different days, or will be away for a period longer than the duration of fieldwork.

3) the person offers to respond on a date long after the closing date of the field work.

4) individuals with serious physical or psychological handicaps which prevent them from responding (mentally handicapped, deaf and dumb, etc..)

5) the individual is physically and psychologically fit, but is ill, in bed and does not want, or is unable to respond to the survey.

6) the selected individual is a foreigner with less than 5 years in the country (unable to vote).

7) the person starts to answer but he/she does not want to finish the interview.


8) other specific cases.

In replacing individuals, the dwelling is replaced according to the rules explained above, and a random selection process chooses an individual from the new household.

It is important to bear in mind that, by using these replacement rules, the sample size achieved is always very close to 1505 (issued sample size).


The National Identity 2003 module of the ISSP was carried out in conjunction with 24 questions relating to Chilean political, economic and social attitudes and tendencies. The questionnaire was structured as follows: firstly, the 24 questions mentioned above, the complete National Identity ISSP module, and, finally, demographic variables.

Fieldwork methods:

The surveys are carried out through personal interview.

Sample size: The sample size finally achieved was 1505 interviews Response rates:

As was explained above in the section “Sample type”, the sampling method used by CEP involves the random replacement of those blocks/entities, dwellings or individuals, which for the reasons described above cannot in the end be contacted. Accordingly, keeping this in mind and using the method for counting the response rate established by the ISSP, we have that: A = 1,505 = Issue sample B = 0 = Ineligible A-B = 1,505 = C= Total eligible D =1,505= Sample achieved E = C-D= 0 Response rate = A/D = 1505/1505 = 100% Non-response rate = 0/1505 = 0.0% However, for the type of sampling used by CEP, these data are not real. CEP uses the following method for calculating the response rate. Let A = Number of original interviews achieved (not replaced) = 1,308 Let B = Number of non-original interviews achieved (replaced) = 197 Let C = Number of questionnaires received = A+B = Total sample = 1,505 B = D1 + E1 + F1 + D2 + E2 + G + F2 = 197 where :


D1 = Number of interviews replaced due rejection of household = 63 E1 = Number of interviews replaced due to no contact in house (empty house + nobody comes to the door) = 59 F1 = Number of interviews replaced for other household reasons = 11 D2 = Number of interviews replaced due to individual rejection = 28 E2 = Number of interviews replaced due to failure to make contact with selected individual = 24 G = Number of interviews replaced due to physical or psychological impediment of selected individual = 12 F2 = Number of interviews replaced for other individual reasons = 0 No-response rate = Number of non-original interviews achieved (replaced) / total number of interviews (replaced + original) = B / C = 197 / 1,505 =13,1%

Language:

Spanish

Weighted:

No

Weighting procedure: A weighting procedure is applied in order to correct for distortions in the representativeness of the sample as regards three variables of interest: Gender, Age, (grouped in five categories: 18-24 years, 25-34, 35-44, 45-54, 55 or older) and Urbanity (classification of place of residence as urban or rural). This makes it possible to obtain a sample with characteristics similar to those of the population. The weights are constructed by calculating the quotient between the expected distribution and that observed in the cross between Urbanity, Gender and Age. The expected distribution is obtained from the 2002 census data provided by the National Institute of Statistics. The result of the weighting slightly corrects for problems of under- and over-representation among certain specific groups of the population.

Known systematic properties:

The sample design described above has been used in the last 17 surveys and has given good results, so it can be stated that it does not have properties that might be causing some type of bias in the results.


Deviations from ISSP- questionnaire:

The questionnaire was translated as closely as possible from English to Spanish, maintaining the meaning and significance of each sentence and word. Some general comments: • In questions Q2, Q3, Q4, Q5, Q6, Q7, Q9, Q10, Q11, Q15 and

Q16 the code “can´t choose” was replaced wiyh “don´t know” (8) and “no answer”.(9)

• Due to problems detected in the pre-test, the question Q12 was finally translated as follows “From what country/countries or part(s) of the world did your direct ancestors, loke your parents, grand parents, or great grand parents, come?”.

• Q12 is an open-ended questions, thus the data submitted present a very wide range of codes, so researchers can group them as they want to.

• Q8 was not included in the final version of the questionnaire due to translation problems detected in the pretest.

• Regarding Q1: Due to problems detected in the pre-test this question was asked at the end of the National Identity Module.

DEMOGRAPHICS VARIABLES: • MARITAL : The code 3 is "ANULADO": In Chile we don't have

divorce • UNION : The code 2 was not included. • INCOME and RINCOME : In these questions, incomes were

measured like monthly net - income. • ISCO88 and SPISCO88 : The answers were coded with 4 digit

when it was possible. • RCH_PRTY : The codes are : VALUE LABELS RCH_PRTY 01 Independent National Alliance 02 Communist Party of Chile 03 Christian Democratic Party' 04 'Humanist Party 05 Democracy Party PPD 06 Radical Social Democratic 07 'Chilean Socialist Party 08 National Renewal Party 09 Independent Democratic Union'

10 Other party 11 No party, no preference 98 Don´t know 99 'NA'.

• URBRURAL: It was added new codes, 6 for “Urban, RP total urban” and 7 for “Rural, RP total rural”.

Publications: -


ISSP Characteristics of National Population: Chile (%) Gender Male 48,5 Female 51,5 Age Group 18 - 24 16,3 25 - 34 22,9 35 - 54 38,6 55 or older 22,2 Years of Schooling - Group 0 - 3 years 11,0 4 - 8 years 26,1 9 -12 years 38,9 13 or more years 24,0 Employment Status Employed (5.675.130) 92,6 Unemployed (453.070) 7,4 Total Labour force (6.128.190) 100,0 Not in Labour Force (5.419.180) 47,0 Sources: For Gender, age group and year of schooling: Census 2002 by National Institute of Statistics. Considers population 18 years of age or older. For employment status: Estimated by National Institute of Statistics. Oct-Dec 2003. Percentage “Not in labour force” is based on population 15 years of age or older.


Study Description: Czech Republic Study title:

National identity II, ISSP 2003

Fieldwork dates:

26.09.2003 – 19.10.2003


Klara Plecita, Institute of Sociology, Academy of Sciences of the Czech Republic

Sample type:

Three stage stratified probability sampling: 1) Stratified probability sampling of election districts 2) Probability sampling of households in selected district 3) Sampling of household members based on a Kish grid

Fieldwork institute:

SC&C

Fieldwork methods:

Face-to-face

Sample size: 1276 Response rates: 2441 A - Total issued (total sample) 52 B - Ineligible (address vacant, wrong ages,...) 2389 C - (= A - B) Total eligible (in scope sample) 1276 D - Total ISSP questionnaires received 1113 E - (= C - D; = F + G + H) Total non-response 617 F - Refusals (refusing to take part) 297 G - Non-contact (never contacted) 199 H – Other non-response Language:

Czech

Weighted: Yes

Weighting procedure: Total weight is constructed from: 1) design weights based on proportion of household sizes 2) post-stratification weights based on region, sex, education, age, economical activity, and size of the community. The weights were derived from data of the Czech Statistical Office. Method: raking based on loglinear modelling

Known systematic properties of the sample:

Due to sampling design the probability of selecting a respondent is 1 / No. of members of his/her household. Due to response differences sex and education significantly differ from the know population characteristics. The biases was corrected by weighting.

Deviations from ISSP questionnaire:

All the core ISSP module and background questions were included. Please see the technical report (cz03info.doc) for specifications of selected country specific backgroun variables.

Publications: not yet ISSP Characteristics of National Population: Czech Republic


ISSP 2003 data are weighted by the design weight (number of household members - see Weighting). Czech Republic

(December 2003) age 18 +; in %

ISSP 2003 in %

Difference in %

SEX Male 48,1 48,0 -0,1 Female 51,9 52,0 0,1 AGE 18 – 29 23,2 24,2 1,0 30 – 44 25,5 25,5 0,0 45 – 59 27,4 26,6 -0,8 60 and higher 23,9 23,7 -0,2 MARITAL STATUS single 23,3 23,8 0,5 married 56,6 58,0 1,4 divorced 10,8 9,7 -1,1 widowed 9,3 8,5 -0,8 Source of data for the Czech Republic: Statistical Yearbook of the Czech Republic 2003. Czech Republic

(July 2003) age 15 +; in %

ISSP 2003 in %

Difference in %

REGION Prague 11,6 10,6 -1,0 Central Bohemia 11,1 11,1 0,0 South Bohemia 6,1 6,2 0,1 Pilsen 5,4 5,6 0,2 Carlsbad 3 2,9 -0,1 Usti n/L 8 8,2 0,2 Liberec 4,2 4,3 0,1 Hradec Kralove 5,4 5,3 -0,1 Pardubice 4,9 5,1 0,2 Vysocina 5 5,3 0,3 South Moravia 11 11,0 0,0 Olomouc 6,2 6,3 0,1 Zlin 5,8 6,0 0,2 Moravia-Silesia 12,3 12,2 -0,1 Source of data for the Czech Republic: Statistical Yearbook of the Czech Republic 2003 Czech Republic

(December 2002) age 15+; in %

ISSP 2002 in %

Difference in %

EDUCATION Basic 22 18,5 -3,5 Secondary 68,2 70,2 2,0 University 9,5 8,9 -0,6 Without education 0,2 0,9 0,7 Not identified 0,1 1,4 1,3 Source of data for the Czech Republic: Statistical Yearbook of the Czech Republic 2002.


Study Description: Denmark Study title:

Danish National Identity II 2003 ISSP-module

Fieldwork dates:

The fieldwork was conducted from 10. October 2003 to 31. January 2004.


Aalborg University: Department of Economics, Politics and Public Administration. Fibigerstraede 1, 9220 DK-Aalborg Oe: Prof. Jørgen Goul Andersen (Director of the Danish ISSP programme) Associate Prof. Johannes Andersen Associate Prof. Lars Torpe Associate Prof. Henrik Lolle Associate Prof. Mette Tobiasen

Department of Social Studies and Organization Kroghstraede 5, DK-Aalborg Oe: Prof. Jens Christian Tonboe University of Aarhus: Department of Political Science DK-8000 Aarhus C: Prof. Emeritus Ole Borre Prof. Lise Togeby

University of Copenhagen: Associate prof. Hans Jørgen Nielsen Department of Political science Rosenborggade 15, DK-1130 Copenhagen K Associate prof. Bjarne Hjorth Andersen Department of Sociology Linnésgade 22 DK-1361 Copenhagen K. University of Southern Denmark: Assistant prof. Ulrik Kjær Department of Political Science Campusvej 55 DK-5230 Odense M. Senior Researcher & International Consultant Torben Fridberg The Danish National Institute of Social Research Herluf Trolles Grade 11 DK-1052 Copenhagen K

Sample type: Sampling-procedure: A representative sample (simple random


sample) was drawn from the Central Population Register (CPR) – which is a national register of all Danish citizens – from which respondent’s name and address were identified. Thus, the sampled unit was ’named individuals’. No stratification, clustering etc. was employed. The fieldwork method was postal survey (self-completion). One reminder was send out to respondents who had not returned the questionnaire. After this telephone interviews were attempted. If respondents were not reached, they were contacted at least five times before given up as “not meet”. In total 88,0 percent of the interviews where completed by mail and 12,0 percent were completed as telephone interviews (cf. MODE-variable). No substitutions were permitted at any stage of the selection process or during the fieldwork. The questions in the module were asked in the prescribed order.

Sample size:

Issued: 2000 Achieved: 1322

Response rates: The response rate is calculated to 66,4 percent. Full productive interviews / (Issued names – (respondents moved, no forwarding address + respondents deceased)): 1322/(2000-(6+2)) x 100= 66,4 percent. Description (N) Issued names 2000 Selected respondent moved, no forwarding address 6 Selected respondent too sick/incapacitated to participate 43 Selected respondent deceased 2 Personal refusal by selected respondent 430 Other type of unproductive reaction 197 Full productive interviews 1322

Language:

Danish

Danish study title:

”Om det at være Dansk”

Known systematic properties:

None known.

Fieldwork Institute: SFI SURVEY Herluf Trolles Gade 11 1052 Copenhagen K Denmark Tel: (+45) 3348 0900 E-mail: [email protected]

ISSP Characteristics of National Population: Denmark


Source no. 1 SEX

Male 49,47 % Female 50,53 % AGE (groups)

0-9 12,6 % 10-19 11,8 % 20-29 12,1 % 30-39 15,0 % 40-49 14,0 % 50-59 14,0 % 60-69 10,0 % 70-79 6,5 % 80-89 3,4 % 90- 0,6 %

YEARS OF SCHOOLING (groups)

Basic school and no answer

9 years 32,1 %

Gymnasium and basic vocational courses

12 years 43,1 %

Short more advanced studies

14 years 4,4 %

Medium length more advanced studies and bachelor

15 years 14,3 %

Long more advanced studies

17 years 6,1 %

EMPLOYMENT STATUS

Employed 50,92 % Unemployed 2,22 % Not in labor force 46,86 %

• Source to sex and age: Statistical Yearbook (Statistisk tiårsoversigt 2004 – tema

om arbejdsstyrken). August 2004, 45. årgang, Danmarks statistik. Page 29, table of agedistribution 1. January 2004.

• Source to years of schooling: Statistical Yearbook (Statistisk årbog 2004). June

2004, 108. årgang, Danmarks statistik. Table 98 page 105, highest completed education distributed after age and sex 2003. The years of schooling of the different educations are from the figure 1 on page 89.


• Source to employment status: Statistical Yearbook (Statistisk tiårsoversigt 2004 –

tema om arbejdsstyrken). August 2004, 45. årgang, Danmarks statistik. Page 47, table of the population distributed after sex and affiliation to the labour market 2003. It is based on the population as of 1. January and the labour affiliation the last week of November the year before.


Study Description: Finland Study title:

Suomi ja suomalaisuus (in Finnish) Finland och att vara finländare (in Swedish)

Fieldwork dates:

September 12th – November 28th, 2003 12th of Sep, 2003 questionnaires mailed 19th of Sep, 2003 thank you/reminder postcard sent to all

respondents 8th of Oct, 2003 dead line of answering the questionnaire 13th of Oct, 2003 replacement questionnaires sent to non-

respondents 5th of Nov, 2003 dead line of answering the replacement

questionnaire 28th of Nov, 2003 last questionnaire received


Raimo Blom, University of Tampere Harri Melin, University of Tampere

Sample type:

Target population: household population aged 15 to 74. Sampling design: a systematic random sample of individuals. Sampling frame: population register, sorting order: domicile code and birth date. Stratification: implicit geographic stratification. No clustering.

Fieldwork Institute: Statistics Finland, Helsinki

Fieldwork methods:

Postal (both direction), self-completion, paper and pencil

Sample size:

Issued: 2500

Response rates: A – Total issued 2500 B – Ineligible (address unknown or living abroad 6 C – Total eligible 2494 D – Total ISSP questionnaires received 1379 E – Total non-response 1115 F – Refusals 4 G – Non-contact - H – Other non-response 1111 Language:

Questionnaires in Finnish and Swedish. Information on language from the population register. Finnish (2 362; 94,5 % of total sample) and Swedish (138; 5,5 % of total sample)

Weighted:

Weight variables are included in the data-set. Basic data is unweighted.

Weighting procedure: The design of the survey was systematic sampling. In order to improve the efficiency of estimation and to reduce bias due to non-


response a calibration method was used for the creation of the weights. The following marginal distributions of the population were used: 1) gender (male, female), 2) age classes (15–24,25–34,…, 65–74), 3) NUTS3 regions with following modifications: the Greater Helsinki Area was dealt as a separate region, 4) type of community (urban - semi-urban - rural). There are two weights available for calculations: 1) a weight that expands the results to the population level (the sum of the weights is the size of the population) and 2) a weight that doesn't have the expansion property (the mean of the weights is 1 and the sum of the weights is the number of accepted responses, i.e. the size of the data). Both of the weights are based on the same calibration process, only the scale differs.


Sampling frame is updated and covers total population. A cross-sectional sample does not contain attrition by definition. After having used our standard sampling procedures for over 20 years we have not encountered any bias due to using systematic sampling. Design effect of the sampling procedure


Deviations from ISSP-questionnaire:

The questionnaire included ISSP module with necessary background variables. List of deviations and coding specifications compared to ISSP source questionnaire: 1) Age Age is computed from a variable for year of birth in the Finnish questionnaire (FQ). 2) Marital FQ asked separately a category for those living together (married or not married). They were recoded into same category. Added one code, 0 meaning other (FQ). 3) Wrktype Added one code, 8 meaning don’t know (FQ). 4) Spwrktyp Added one code, 8 meaning don’t know (FQ). 5) Hhcycle The FQ asked separately on how many persons in the household, how many of them are 7-17 years old and how many children under 7 years of age there are in the household. Hhcycle includes combined information from these variables. 6) SF_reg Added from register data describing the regions. FQ did not include question for this. 7) SF_size Added from register data describing the population of the municipality. FQ did not include question for this. 8) Weight and weight_2 As described in the study description, -[weight]is a weight that expands the results to the population level (the sum of the weights is the size of the population) and -[weight_2] is a weight that doesn't have the expansion property (the mean of the weights is 1 and the sum of the weights is the number of accepted responses, i.e. the size of the data). 9) SF_ethn Added from register data describing the ethnic identity (language code). FQ did not include question for this.


ISSP Characteristics of National Population: Finland Source no. 1 Source no. 2 Source no. 3 Source no. 4 31.12.2002 Statistics

Finland Ministry of Labour

SEX

Male 2 544 916 Female 2 661 379 AGE (groups)

- 14 927 009 15 - 29 969 877 30 - 39 695 102 40 - 49 769 644 50 - 64 1 046 099 65 – 74 440 655 75 - 357909


1 – 9 1 697 326 10 – 12 1 555 070 13 - 1 010 918 EMPLOYMENT STATUS

Employed

2 372 000

Unemployed

237 000 304 086

Not in labor force

1 308 000


Study Description: France Study title:

National Identity II

Fieldwork dates:

01-09-2003 to 01-12-2003


Michel Forse, Yannick Lemel

Sample type:

Equal probability sampling on the whole French European territory amongpersons older than fifteen years living in the household.

Fieldwork Institute: France-ISSP

Fieldwork methods:

Postal (both direction), self-completion, paper and pencil

Sample size:

Issued: 10000

Response rates: A – Total issued 10000 B – Ineligible (address unknown or living abroad 128 C – Total eligible 9872 D – Total ISSP questionnaires received 1669 E – Total non-response 8203 F – Refusals 8148 G – Non-contact - H – Other non-response 55 Language:

French

Weighted:

Yes

Weighting procedure: Post-stratification weighting by age and occupation


Under representation of youngest people because of responses rates differential


ISSP Characteristics of National Population: France Data Source: INSEE 2002 Labour force survey Random sample of the population being more than 17 years old; sample size is 136,780

Labour force survey 2001 Gender

Male 47.9% Female 52.1%

Age Group 18-29 years old 19.8% 30-39 years old 18.7% 40-49 years old 18.4% 50-59 years old 16.5% 60-69 years old 11.3%

70 years old and more 15.3% Levels of Education

University or College 18.5% High School completed 11.4% Secondary uncompleted 32.6%

Primary or None 37.5% Employment Status

Employed 52.4% Unemployed 5.1%

Not in labour force 42.5%


Study Description: Germany Study title:

ISSP 2003 Germany – National Identity II

Fieldwork dates:

2.3.2004-12.7.2004


Dr. Janet Harkness, Prof. Dr. Peter Ph. Mohler

Sample type:

Two stage random sample. Names and addresses from registers of inhabitants kept by municipalities. Adults of 18 and older living in private accommodation


TNS Infratest Sozialforschung (Germany)

Fieldwork methods:

Self-completion questionnaire, interviewer in attendance. Background variables were asked face-to-face (CAPI).

Sample size:

1287 (ISSP 2003 and ISSP 2004 were fielded in split together with ALLBUS, the German General Social Survey; number of ALLBUS 2004 interviews: 2946; number of ISSP 2004 interviews: 1332)

Response Rates:

N=3580 W=2450 E=1130 A – Total issued (total sample)

N=391 W=264 E=127 B – Ineligible (address vacant, wrong ages, etc.) N=3189 W=2186 E=1003 C – (=A−B) Total eligible (in scope sample) N=1287 W=850 E=437 D – Total ISSP interviews received N=1902 W=1336 E=566 E – = C - D; = F + G + H) Total non-response N=1339 W=924 E=415 F – Refusals (refusing to take part) N=216 W=153 E=63 G – Non-contact (never contacted) N=347 W=259 E=88 H – Other non-response Language: German Weighted: No Weighting procedure: Sample for eastern Germany deliberately over-samples the five

eastern federal states. If all of Germany is taken as the unit of analysis (rather than the eastern and western states) weighting is necessary. Weighting factor for West Germany: 1,232524; weighting factor for East Germany: 0,547722; (recoding of the country variable is necessary)


None for the total sample


ISSP substantive questionnaire: no deviations; Background variables: no deviations

Publications: ALLBUS Methods Report 2004 (forthcoming); ISSP Methods Report on the German Study (forthcoming)


ISSP Characteristics of National Population: Germany Gender3 Male 40356000Female 42175700Total 82531700 Age group4 Under 6 4519300 6-15 7642800 15-25 9621700 25-45 24461100 45-65 21426800 65 and above 14860000 total 82531700 Education5 Without general school-leaving certificate 1890000Still at school 2992000Secondary general school certificate 29391000Certificate of ten-grad school of general education in the former GDR 4807000Intermediate school-leaving certificate or equivalent 12732000"Fachhochschule" entrance qualification/university entrance qualification

14092000

No data on type of education 669000Respondents providing data on general school education 66574000

"Fachhochschule" degree6 2868000University degree 3758000Doctor's degree 853000Respondents providing data on vocational qualification7 65575000 Employment Status8 Employed 36172000 Unemployed9 4022000 Not in labour force10

42307000

3 Population 31.12.2003, updated 20th December 2004. 4 Population 2003, updated 3. August 2004. 5 Persons who provided data on their general school education; persons aged 51 years and above are not obliged to respond; results from Microcensus May 2003. 6 Degree from specialised college of higher education; including engineering qualification and college of public administration degree. 7 Other types of vocational education not listed here. 8 Results from Microcensus May 2003. 9 Unemployed persons are looking for a job and immediately available.


Region11 Baden-Württemberg 10693000Bayern 12423000Berlin 3388000Brandenburg 2575000Bremen 663000Hamburg 1734000Hessen 6089000Mecklenburg-Vorpommern 1732000Niedersachsen 7993000Nordrhein-Westfalen 18080000Rheinland-Pfalz 4059000Saarland 1061000Sachsen 4321000Sachsen-Anhalt 2523000Schleswig-Holstein 2823000Thüringen 2373000Total 82532000 Source: Statistisches Bundesamt, www.destatis.de (14.03.0505)

10 The inactive population includes persons not engaged in economic activity who are looking for a job but are not immediately available. 11 Population from 31.12.2003. Results of current population statistics.


Study Description: Great Britain Study title:

British Social Attitudes 2003

Fieldwork dates:

June to September 2003


National Centre for Social Research

Sample type:

Clustered random sample: addresses were selected with equal probability in a stratified clustered design. One person aged 18+ was interviewed per address.


National Centre for Social Research

Fieldwork methods:

The ISSP module is implemented as a self-completion questionnaire, completed by the respondent after the main face-to-face interview and collected by the interviewer.

Sample size:

873

Response rates: 2062 A - Total issued (total sample) 182 B - Ineligible (address vacant, wrong ages,...) 1880 C - (= A - B) Total eligible (in scope sample) 873 D - Total ISSP questionnaires received 1007 E - (= C - D; = F + G + H) Total non-response 569 F - Refusals (refusing to take part) 260 Face-to-face interview but no self-completion 79 G - Non-contact (never contacted) 99 H - Other non-response Language:

English

Weighted: Yes

Weighting procedure: Addresses were selected with equal probability (except in Scotland where allowance was made for MOI – see below) but only one person interviewed at each address. Therefore weights need to be applied to correct for different number of adults at each address. The weights are calculated by the following formula: weight = (number of households at the address * number of adults in selected household) / MOI where MOI is the Multiple Output Indicator (MOI>1 indicates more than one household at the address). Very large weights were capped and the weights were scaled to make the


weighted sample size equal to the unweighted sample size.


Sample excludes Scotland north of the Great Glen.


V64 to V74, Ethnic and TopBot are not available. The following variables were collected only if the respondent was not economically active/retired and the spouse partner was economically active/retired : SPISCO88, SpWrkTyp.

Publications: Park, A. et al (eds) (2004 forthcoming) British Social Attitudes: the 21st Report , in particular chpaters by Tilley at al. and by McLaren and Johnson


ISSP Characteristics of National Population: Great Britain Source no. 1 Source no. 2 Source no. 3 Source no. 4 2001 UK

Census BSA 2003

weightedBSA 2003 un-

weighted

SEX

Male 49% 46.7% 44.2% Female 51% 53.3% 55.8% Source no. 1 Source no. 2 Source no. 3 Source no. 4 National Statistics

2003 mid-year population estimates

BSA 2003 weighted

BSA 2003 un-weighted

AGE (groups)

18-24 11.3% 10.4% 7.9% 25-34 17.4% 16.9% 16.9% 35-44 19.7% 19.0% 19.8% 45-54 16.4% 19.1% 17.1% 55-64 14.6% 15.4% 15.1% 65+ 20.6% 19.1% 23.2%


Not available Source no. 1 Source no. 2 Source no. 3 Source no. 4 2001 UK

Census BSA 2003

weightedBSA 2003 un-

weighted

EMPLOYMENT STATUS

Employed

60.2% 56.5% 52.6%

Unemployed

4.5% 4.1% 4.4%

Not in labor force

36.3% 39.4% 43.0%


Study Description: Hungary Study title:

National Identity II.

Fieldwork dates:

2003.02.28 – 2003.03.12.


Antal Örkény, ELTE University Budapest

Sample type:

We used probability sample, which was selected in multiple stages with proportional stratification. In the first stage, localities were chosen. In the second stage, the respondents were chosen from the localities with simple random sampling. Creating the sample of localities: The regions formed the first strata, type of settlements were the second. The localities were chosen from these strata by random sampling. For every county at least 2 towns and 3 villages were selected. The 23 districts of Budapest formed a separate sampling unit. Creating the sample of individuals: After creating the locality sample, and deciding the required number of respondents for every locality, we used ‘pre-selected addresses’ sampling methods for selection of respondents. The number of respondents in the previously chosen localities was defined in accordance with the proportion of the population of the given strata – regions, and different types of localities (towns and villages) within the region. The names and addresses were obtained from the Central Registry and Electoral Office with the help of simple random sampling. To replace dropped-out addresses subsidiary addresses were chosen with ‘random walk’ method, based on the Leslie-Kish—key.


TÁRKI RT Social Research Centre

Fieldwork methods:

mode of interview: face to face

Sample size:

number of respondents in the final ISSP file:1021

Response rates: 1684 A - Total issued (total sample) 109 B - Ineligible (address vacant, wrong ages,...) 1575 C - (= A - B) Total eligible (in scope sample) 1021 D - Total ISSP questionnaires received 554 E - (= C - D; = F + G + H) Total non-response


282 F - Refusals (refusing to take part) 96 G - Non-contact (never contacted) 176 H - Other non-response Language:

Hungarian

Weighted: yes or no, whether a weighting factor exists in the data-set: YES

Weighting procedure: Exact description of the weighting procedure / algorithm In order to correct the sampling error we computed a weighting variable taking into account the type of residence (Budapest, other city, village), sex (male, female), age (18- 29, 30- 39, 40- 49, 50- 59, 60- 69, 70- x) and highest level of educational (primary , secondary, tertiary). The weight of each cases was computed as WEIGHT = (n/n’)* (N’/N), where N = respondent above the age of 18 in the sample of 2001 census, N’ = 1000, n = frequency of the population category in the census sub-sample the case belongs to, n’ = parallel frequency in the 2003 National Identity II module of TARKI.


Description of biases or other deviations of the sample Table. 1. Crosstabulation of year of birth, type of residence, highest educational level and sex in the sample of 1000 in compare with the sample of Population Census Data in Hungary of 2000. Table.1.a. Sex

Sample (unweighted data) Census

Male 44.2 48.8 Female 55.8 53.2 Total 100.0 100.0

Table 1.b. Type of residence Sample (unweighted

data) Census

Budapest 17.5 18.5 Other city 45.7 45.1 Village 36.7 36.4 Total 100.0 100.0

Table 1.c. Age categories Sample (unweighted

data) Census

18- 39 29.4 39.6 40- 59 36.7 35.5 60- x 34.0 24.9 Total 100.0 100.0

Table 1.d. Highest educational level


Sample (unweighted

data) Census

Primary level 58.8 60.8 Secondary level 23.3 27.2 Tertiary level 17.9 12.2 Total 100.0 100.0

Table 1.e. Sex by age by residence by education (see in apendix1)


None

Publications: Csepeli, Gy. Örkény A. Székelyi M. Poór J. 2004 Nemzeti identitás Magyarországon az ezredfordulón. (National identity in Hungary at the Millenium) In: Kolosi, T. Tóth, I. Gy. Vukovich gy (eds): Társadalmi Riport (Social Report) Budapest: TÁRKI

Appendix 1. Budapest Other city Village

Highest educational level sex age N Sample Census N Sample Census N Sample Census

18-39 43 4,2% 1,5% 30 3,0% 5,6% 4 0,40% 5,2%

40-59 58 5,7% 1,1% 44 4,3% 4,6% 7 0,7% 4,8% male

60-xx 48 4,7% 0,9% 40 3,9% 3,0% 12 1,2% 3,2%

18-39 29 2,8% 1,0% 33 3,2% 4,1% 6 0,6% 3,9%

40-59 44 4,3% 1,1% 37 3,6% 4,4% 7 0,7% 4,3%

Primary level

female

60-xx 64 6,3% 2,1% 69 6,8% 5,6% 23 2,3% 5,4%

18-39 4 0,4% 1,5% 19 1,9% 2,9% 8 0,80% 1,3%

40-59 12 1,2% 0,9% 17 1,7% 1,9% 6 0,6% 1,0% male

60-xx 1 0,0% 0,4% 9 0,9% 0,8% 5 0,5% 0,3%

18-39 16 1,6% 1,8% 33 3,2% 3,9% 15 1,50% 2,0%

40-59 20 1,9% 1,5% 24 2,4% 3,1% 16 1,6% 1,4%

Secondary level

female

60-xx 2 0,2% 0,8% 17 1,7% 1,0% 9 0,9% 0,3%

18-39 4 0,4% 0,6% 12 1,2% 1,0% 12 1,2% 0,3%

40-59 7 0,7% 0,8% 18 1,8% 1,3% 9 0,9% 0,4% male

60-xx 2 0,2% 0,6% 10 1,0% 0,6% 7 0,7% 0,1%

18-39 6 0,6% 0,8% 17 1,7% 1,3% 7 0,7% 0,5%

40-59 9 0,9% 0,8% 23 2,3% 1,3% 12 1,2% 0,4%

Tertiary level

female

60-xx 5 0,5% 0,3% 10 1,0% 0,3% 11 1,10% 0,1%


ISSP Characteristics of National Population: Hungary Source no. 1 (N) Source no. 2 (N) Source no. 1 (%) Source no. 2 (%)

Census 2001 (full population)

10,198,315

Census 2001 (only aged over 18)

8,111,555

Census 2001 all (total population)

100%

Census 2001 (only aged over 18)

100% SEX

Male 4,850,650 3,783,988 47.6 46.6 Female 5,347,665 4,327,567 52.4 53.4 AGE (groups)

0 - 17 2,086,760 - 20.5 - 18-29 1,873,078 1,873,078 18.4 23.1 30-39 1,309,591 1,309,591 12.8 16.1 40-49 1,533,309 1,533,309 15.0 18.9 50-59 1,314,018 1,314,018 12.9 16.2 60-69 1,025,606 1,025,606 10.0 12.6 70- 1,055,953 1,055,953 10.4 13.1


Primary (max 8 years) 7,101,283 5,014,523 69.6 61.8 Secondary (9-12 years)

2,162,996 2,162,996 21.2 26.7

Tertiary (13 years +) 934,036 934,036 9.2 11.5 EMPLOYMENT STATUS

(aged over 15) 8,479,163

Employed 3,690,269 3,696,928 36.2 43.6 Unemployed 416,210 417,762 4.1 4.9 Not in labor force 6,091,836 4,364,473 59.7 51.5


Study Description: Ireland Study title:

National Identity II 2003

Fieldwork dates:

1st Oct 2003 to 15th Nov 2003


Economic and Social Research Institute (ESRI)


Nic Ghiolla Phádraig, Máire; Watson, Iarfhlaith

issp 2003 national identity ii - codebook za study...

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