ONBound - Harmonization Wizard

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The ONBound - Harmonization Wizard is used for compiling a customized dataset on national identity, religious identity and additional variables supporting the analysis of these two spheres. The ONBound-project offers syntax-files that create a cumulated and harmonized dataset containing micro- and macro-level data from a vast array of source datasets for SPSS and Stata. The ONBound-Harmonization Wizard allows the selection of micro- and macro-level variables as well as countries. Micro-level variables are grouped by topics, whereas macro-level variables are organized by the original datasets. After the selection, the Wizard compiles a customized .zip-folder. This folder contains the whole documentation package, all syntax-files and a customized main syntax-file that embodies the heart of the harmonization process. Before running this customized file, that creates the final dataset containing all selected variables for the selected countries, users must download the original source datasets. At the end of the process, a customized list with links to the original datasets will be provided. Before using the ONBound-Harmonization Wizard, please refer to the information and documents on our Website ONBound. The documents will help to pre-select topics, countries and possibly source datasets.

Following steps must be carried out:

  1. Select variable topics (micro-level) and thematic datasets (macro-level)
  2. Select countries
  3. Deselect (if you like) topics based on the topic-country matrix providing information on the availability of variables by topics and year coverage for the selection
  4. Download the onbound.zip-folder, either containing Stata or SPSS files, for preparing the customized ONBound dataset
  5. Download original datasets from their repositories

In this section, you can select the topics you are interested in. Variables are sorted by topics. You can only select topics and not single variables. Whether the variables you are specifically interested in are available for chosen countries, is displayed in the Summary of selection section. Background and protocol variables, e.g. gender of respondents, age and weights are automatically included.

Please Note: Selecting all implies a very large dataset which your computer might struggle to handle. We therefore recommend to carefully select the topics and macro-level datasets you want to include.

Topics Select all

Micro-level data

National Identity

Formal Membership / Citizenship
  • Respondent: Citizenship of country
  • Respondent: Citizenship
Origin Respondent and Family
  • Respondent: Born in country
  • Respondent: Country of birth
  • Respondent: Country of birth, EB-categ.
  • Respondent: Country of birth, WVS-categ.
  • Respondent: State/province of birth
  • Respondent: When arrived in country, merged 3-categ.
  • Respondent: When arrived in country, ESS-categ.
  • Respondent: When arrived in country, WVS-categ.
  • Respondent: How many years lived where lives now
  • Respondent: Where living 5 years ago
  • Respondent: Place spend most of childhood
  • Respondent: Lived in different countries, ISSP 1995-categ.
  • Respondent: Lived in different countries, ISSP 2008-categ.
  • Respondent: Skin colour, coded by interviewer
  • Family: National background
  • Family: Parents, citizenship of country
  • Family: Mother, born in country
  • Family: Mother, country of origin, ISO 3166
  • Family: Mother, country of origin, EB-categ.
  • Family: Father, born in country
  • Family: Father, country of origin, ISO 3166
  • Family: Father, country of origin, EB-categ.
  • Family: Grandmother mother, country of origin
  • Family: Grandfather mother, country of origin
  • Family: Grandmother father, country of origin
  • Family: Grandfather father, country of origin
  • Family: Citizenship grandparents
Feeling of Belonging / Self Identification
  • Attachment1: Neighborhood, 4-point
  • Attachement2: Town city, 4-point
  • Attachement3: County, 4-point
  • Attachement4: Region, 4-point
  • Attachement5: Country, harmonized 4-point
  • Attachement6: Continent, harmonized 4-point
  • Attachement7: Relevant supran. organiz., 4-point
  • Belonging1: Individual, 4-p. agree
  • Belonging2: Local community, 4-p. agree
  • Belonging3: Province/region, 4-p. agree
  • Belonging4: Country, harmonized dichotom.
  • Belonging4: Country, 4-p. agree
  • Belonging4: Country, ASES-categ.
  • Belonging5: Oth. country, harmonized dichotom.
  • Belonging5: Oth. country, 4-p. agree
  • Belonging5: Oth. country, ASES-categ.
  • Belonging6: Transn. region, harmonized dichotom.
  • Belonging6: Transn. region, 4-p. agree
  • Belonging6: Transn. region, ASES-categ.
  • Belonging6: Transn. region, AsiaB-categ.
  • Belonging7: Supranational organiz., 4-p. agree
  • Belonging8: World, 4-p. agree
  • Belonging8: World, frequency
  • Belonging9: Regional vs. National
  • Belonging10: Europe vs. Nation, harm. 3 categ.
  • Belonging10: Europe vs. Nation, 4 categ.
  • Belonging10: Europe vs. Nation, 4 categ. (spont. mid)
  • Belonging10: Europe vs. Nation, 3 categ.
  • Belonging10: Europe vs. Nation, 2 categ.
  • Belonging10: Europe vs. Nation, frequency
  • Belonging11: World vs. Any country, 5.p agree
  • Belonging12: Most imp. geogr. group
  • Belonging13: 2nd most imp. geogr. group
  • Belonging14: Least geogr. Group identification
  • Belonging15: How imp. transnat. geogr. region
  • Belonging16: Transn. geog. region become more imp.
  • Emigration1: Other country improve conditions, 5-p. willing
  • Emigration1: Other country improve conditions, 3-p. willing
  • Emigration2: To other country, 4-p. willing
  • Emigration2: To other country, dichotom.
  • Emigration3: Thought about emigrating, dichotom.
  • Emigration4: Likely emigrate, 4-p. likeliness
  • Emigration4: Likely emigrate, 4-p. dichotom.
  • Emigration5: Reason for emigration, harm.
  • Emigration5: Reason for emigration, ArabB.
  • Emigration5: Reason for emigration, EB
  • Importance Nationality1: How important?
  • Importance Nationality2: Becomes more important
Membership Boundaries
  • Requirem. citizenship1: Ancestry, 5-p. agree
  • Requirem. citizenship2: Born in ctry., 5-p. agree
  • Requirem. citizenship1: Ancestry, 3-p. import.
  • Requirem. citizenship2: Born in ctry., 3-p. import.
  • Requirem. citizenship3: Adopt customs, 3-p. import.
  • Requirem. citizenship4: Abiding laws, 3-p. import.
  • Requirem. citizenship5: Born if parent non-citiz.
  • Requirem. citizenship5: Born if parents non-citiz.
  • Requirem. citizenship7: Wife of citizen husband
  • Requirem. citizenship8: Husband of citizen wife
  • Requirem. citizenship9: Lived and worked
  • Requirem. citizenship10: Wish dual citizenship
  • Symb. Bound.1: Born in ctry, 4-p. import.
  • Symb. Bound.1: Born in ctry, dichotom.
  • Symb. Bound.2: Have citizenship, 4-p. import.
  • Symb. Bound.3: Lived in ctry, 4-p. import.
  • Symb. Bound.3: Lived in ctry, dichotom.
  • Symb. Bound.4: Speak language, 4-p. import.
  • Symb. Bound.4: Speak language, 4-p. import.
  • Symb. Bound.5: Religion, 4-p. import.
  • Symb. Bound.5: Religion, dichotom.
  • Symb. Bound.6: Respect laws/institutions, 4-p. import.
  • Symb. Bound.7: Feel, 4-p. import.
  • Symb. Bound.7: Feel, dichotom.
  • Symb. Bound.8: Have ancestry, 4-p. import.
  • Symb. Bound.8: Have ancestry, dichotom.
  • Symb. Bound.9: Share cultural tradit., 4-p, import.
  • Symb. Bound.9: Share cultural tradit., dichotom.
  • Symb. Bound.10: Exercise citiz.´rights, 4-.p import.
  • Symb. Bound.10: Exercise citiz.´rights, dichotom.
  • Symb. Bound.11: Active in origaniz., dichotom
  • Symb. Bound.12: Others, dichotom.
  • Symb. Bound.13: None, dichotom.
  • Symb. Bound.14: Don't know, dichotom.
  • EU Bound.1: Born in Europe, 4-p. import.
  • EU Bound.1: Born in Europe, dichotom.
  • EU Bound.2: Raised in European ctry, dichotom.
  • EU Bound.3: Master European language, 4-p. import.
  • EU Bound.3: Master European language, dichotom.
  • EU Bound.4: Religion, 4-p. import
  • EU Bound.4: Religion, dichotom.
  • EU Bound.5: Respect laws/institutions, 4-p. import.
  • EU Bound.6: Feel European, 4-p. import.
  • EU Bound.6: Feel European, dichotom.
  • EU Bound.7: Have European ancestry, 4-p. import.
  • EU Bound.7: Have European ancestry, dichotom.
  • EU Bound.8: Share cultural tradit, 4-p. import.
  • EU Bound.8: Share cultural tradit, dichotom.
  • EU Bound.9: Exercise citiz´rights, 4-p. import.
  • EU Bound.9: Exercise citiz´rights, dichotom.
  • EU Bound.11: Active in origaniz., dichotom
  • EU Bound.12: Others, dichotom.
  • EU Bound.13: None, dichotom.
  • EU Bound.14: Don't know, dichotom.
National Pride
  • Pride1: How proud being National, harmonized 4-p. pride
  • Pride1: How proud being National, 4-p. pride
  • Pride1: How proud being National, 7-p. pride
  • Pride1: How proud being National, 5-p. agree
  • Pride2: Proud being citizen
  • Pride3: Like how we are national
  • Pride4: Democracy, 4-p. pride
  • Pride5: Political/legal system, dichotom.
  • Pride5: Political/legal system, 7-p. pride
  • Pride6: System government, 4-p. agree
  • Pride7: Political influence in world, 4-p. pride
  • Pride8: Economic achievements, 4-p. pride
  • Pride8: Economic achievements, dichotom.
  • Pride9: Social security system, 4-p. pride
  • Pride9: Social security system, dichotom.
  • Pride10: Scientific achievem., 4-p. pride
  • Pride10: Scientific achievem., dichotom.
  • Pride11: Achievem. in sports, 4-p. pride
  • Pride11: Achievem. in sports, dichotom.
  • Pride12: Achievem. in arts, 4-p. pride
  • Pride12: Achievem. in arts, dichotom.
  • Pride13: Armed forces, 4-p. pride
  • Pride14: History, 4-p. pride
  • Pride15: Fair treatment groups, 4-p. pride
  • Pride15: Fair treatment groups, 4-p. agree
  • Pride16: Native tongue, 4-p. pride
  • Pride16: Native tongue, dichotom.
  • Patriotism1: Rather be a citizen, 5-p. agree
  • Patriotism2: Things about country feel ashamed, 5-p. agree
  • Patriotism3: World better more like nation, 5-p. agree
  • Patriotism4: Country better than other, 5-p. agree
  • Patriotism4: Country better than other, 4-p. agree
  • Patriotism5: Culture superior to others, 5-p. agree
  • Patriotism5: Culture superior to others, 4-p. agree
  • Patriotism6: Country support if wrong, 5-p. agree
  • Patriotism6: Country support if wrong, 4-p. agree
  • Patriotism7: System derserves support, 4-p. agee
  • Patriotism8: Proud ctry well in sports, 5-p. agree
  • Patriorism9: Less proud than wished, 5-p. agree
  • Patriorism9: Less proud than wished, 4-p. agree
  • Patriotism10: Better to acknowlede shortcomings, 5-p. agree
  • Patriotism11: Willing to fight for country
  • Patriotism12: National unity, harm. dichotom.
  • Patriotism12: National unity, dichotom.
  • Patriotism12: National unity, 5-p. agree

Religious Identity

Formal Membership: Denominations
  • Rel. Denomination1: Level 1 (Main groups)
  • Rel. Denomination2: Level 2
  • Rel. Denomination3: Level 3 (Details)
Practices
  • Rel. practice1: Moments of prayer/meditation
  • Rel. practice2: How often pray, freq. concrete
  • Rel. practice2: How often pray, freq. Relative
  • Rel. practice3: Rel. object on display at home
  • Rel. practice4: Visit holy place
  • Rel. practice5: Praying
  • Rel. practice6: Place of praying
  • Rel. practice7: Pray daily
  • Rel. practice8: Performe prescribed prayer of Islam
  • Rel. practice9: Fasting, freq. concrete
  • Rel. practice9: Fasting, freq. relative
  • Rel. practice9: Fasting, freq. dichotom.
  • Rel. practice10: Relig. Programs radio/TV, freq. Relative
  • Rel. practice11: Listen/read quran/bible, freq. relative
  • Rel. practice11: Listen/read quran/bible, freq. concrete
  • Rel. practice12: Read religious books, freq. relative
  • Rel. practice13: Own practices
  • Rel. practice14: Attend. rel. services, harmonized
  • Rel. practice14: Attend religious services, ISSP
  • Rel. practice14: Attend religious services, ISSP 1991,1995,1998
  • Rel. practice14: Attend religious services, ESS
  • Rel. practice14: Attend religious services, EVS/WVS 1981-2014
  • Rel. practice14: Attend religious services, EVS 2017, ASES 2001
  • Rel. practice14: Attend religious services, EB -2002, AC/CCEB
  • Rel. practice14: Attend religious services, EB 2005- , IntUne
  • Rel. practice14: Attend religious services, LatinoB, AmericasB
  • Rel. practice14: Attend religious services, AfroB 2004, 2005
  • Rel. practice14: Attend religious services, AfroB 2014/2015
  • Rel. practice14: Attend religious services, ArabB 2011-2016
  • Rel. practice14: Attend religious services, NEB
  • Rel. practice14: Attend religious services, AsianB 2002
  • Rel. practice14: Attend religious services, AsianB 2006-2016
  • Rel. practice14: Attend religious services, AsiaB 2003, 2004
  • Rel. practice14: Attend religious services, PewGAP 2006, WVS (IRQ_2004)
  • Rel. practice14: Attend religious services, PewGAP 2009-2014
  • Rel. practice15: Church activicties, freq. concrete
  • Rel. practice15: Church activicties, freq. relative
  • Rel. Practice16: Collective rituals, freq. relative
  • Rel. Practice17: Donate relig. Institutions, freq. relative
Belief
  • Belief1: God, harmonized
  • Belief1: God, ISSP
  • Belief1: God, dichotom.
  • Belief1: God, God-personal god-spirit
  • Belief1: Unseen spiritual world, 4-p. scale
  • Belief2: Belief / Used to belief in God
  • Belief3: Life after death
  • Belief4: Reincarnation
  • Belief5: Nirvana
  • Belief6: Resurrection of the Death
  • Belief7: Life meaningful because God exists
  • Belief8: Welzel disbelief sub-index
Religiosity / Centrality of Religion in Life
  • Rel. Centrality1: Importance God
  • Rel. Centrality2: Imprtance religion
  • Rel. Centrality3: Self-description, harmonized 4-p.
  • Rel. Centrality3: Self-description, 4-p.
  • Rel. Centrality3: Self-description, 11-p.
  • Rel. Centrality3: Self-description, 7-p.
  • Rel. Centrality3: Self-description, 3-p.
  • Rel. Centrality3: Self-description, dichotom.
Attitudes Towards Religion
  • Attitudes13: Christians, 5-p. positive
  • Attitudes13: Christians, 4-p. favorable
  • Attitudes14: Muslims, 5-p. positive
  • Attitudes14: Muslims, 4-p. favorable
  • Attitudes15: Hindus, 5-p. positive
  • Attitudes15: Hindus, 4-p. favorable
  • Attitudes13: Buddhists, 5-p. positive
  • Attitudes17: Jews, 5-p. positive
  • Attitudes17: Jews, 4-p. favorable
  • Attitudes18: Atheists, 5-p. positive
  • Attitudes19: Catholics, 4-p. favorable
Religion and Nation
  • Rel-Nat1: Religious difference not reason doubting patriotism
  • Rel-Nat.2: Choose relig. or national identity, 3 categ.
  • Rel-Nat.2: Choose relig. or national identity, 5 categ.
  • Rel-Nat.2: Choose relig. or national identity, 2 categ.

Interrelation of Groups

Tolerance Towards Different Groups of Community
  • Non-religious persons1: not praying, 4-p. extent
  • Non-religious persons1: not praying, 4-p. import.
  • Non-religious persons2: not fasting, 4-p. extent
  • Non-religious persons2: not fasting, 4-p. import.
  • Rel. person5: Rel.person of different rel., 4-p. extent
  • Rel. person5: Rel.person of different rel., 4-p. accept
  • Rel. person6: Jews, 10-p. comfort.
  • Rel. person6: Jews, dichotom.
  • Rel. person7: Muslim, 10-p. comfort.
  • Rel. person10: Buddhist, 10-p. comfort
  • Rel. person11: Christian, 10-p. comfort
  • Rel. person12: Atheist, 10-p. comfort
  • Neighbors1: Other religion
  • Neighbors1: Other religion
  • Neighbors1: Other religion
  • Neighbors2: Same religion
  • Neighbors3: Muslims
  • Neighbors4: Jews
  • Neighbors5: Christians
  • Neighbors6: Hindus
  • Neighbors7: Follower other Sects
  • Neighbors7: Follower other Sects
  • Neighbors8: New religious movement
  • Neighbors9: Minority religious sect/cult
  • Neighbors10: Evangelists
  • Neighbors11: Zoroastrians
  • Neighbors12: Spirits
  • Neighbors13: Protestants
  • Neighbors14: Witchdoctors and other
  • Neighbors15: Kurds, Esids
  • Neighbors16: Sunnis
  • Neighbors17: Shiites
Discrimination
  • Self1: Feel left out of society
  • Self2: Feel treated equally, 4-p.
  • Self3: R member of discriminated group
  • Self4: R member of privileged or discrim group
  • Self5: How often group treated unfair be gov., 4-p.
  • Self5: How often group treated unfair be gov., 5-p.
  • Self6: Discrimination by: Color/Race, dichotom.
  • Self7: Discrimination by: Appearance
  • Self8: Discrimination by: Skin Color, 4-p.
  • Self9: Discrimination by: Nationality, dichotom.
  • Self10: Discrimination by: Religion, dichotom.
  • Self11: Discrimination by: Language, dichotom.
  • Self12: Discrimination by: Ethnicity, dichotom.
  • Self13: Discrimination by: Age, dichotom.
  • Self14: Discrimination by: Age over 55, dichotom.
  • Self15: Discrimination by: Age under 30, dichotom.
  • Self16: Discrimination by: Gender, 4-p.
  • Self16: Discrimination by: Gender, dichotom.
  • Self17: Discrimination by: Sexual orient., dichotom.
  • Self18: Discrimination by: Gender identity, dichotom.
  • Self19: Discrimination by: Disability, dichotom.
  • Self20: Discrimination by: Economic cond., dichotom.
  • Self21: Discrimination by: No, dichotom.
  • Self22: Discrimination by: Other reason, dichotom.
  • Self23: Discrimination by: Don´t know, dichotom.
  • Self24: Discrimination by: Refusal, dichotom.
  • Self25: Discrimination by: Not applicable, dichotom.
  • Self26: Discrimination by: No answer, dichotom.
  • Self27: Ethnic group worst economic conditions
  • Self28: Ethnic group less political influence
Racism
  • Racism5: Reason Those with Dark Skin are Poorer

Legitimacy

Civic Attitudes
  • Good citizen1: Pay taxes, harmon. 11-p. import.
  • Good citizen1: Pay taxes, 7-p. import.
  • Good citizen1: Pay taxes, dichotom.
  • Good citizen1: Pay taxes, 3-p.
  • Good citizen2: Always obey laws, harmon. 11-p. import.
  • Good citizen2: Always obey laws, 7-p. import.
  • Good citizen2: Always obey laws, dichotom.
  • Good citizen3: Active in organizations, harmon. 11-p. import.
  • Good citizen3: Active in organizations, 7-p. import.
  • Good citizen3: Active in organizations, dichotom.
  • Good citizen3: Active in organizations, 5-p. agree
  • Good citizen4: Choose products consciously, harmon. 11-p. import.
  • Good citizen4: Choose products consciously, 7-p. import.
  • Good citizen4: Choose products consciously, dichotom.
  • Good citizen5: Help less privileged cit., harmon. 11-p. import.
  • Good citizen5: Help less privileged cit., 7-p. import.
  • Good citizen5: Help less privileged cit., dichotom.
  • Good citizen6: Serve in military, harmon. 11-p. import.
  • Good citizen6: Serve in military, 7-p. import.
  • Good citizen6: Serve in military, dichotom.
  • Good citizen7: Vote in elections, harmon. 11-p. import.
  • Good citizen7: Vote in elections, 7-p. import.
  • Good citizen7: Vote in elections, dichotom.
  • Good citizen7: Vote in elections, 3-p.
  • Good citizen7: Vote in elections, 5-p. agree
  • Justifiable: Cheating on taxes, harmon. 11-p. just.
  • Justifiable: Cheating on taxes, 10-p. just.
  • Justifiable: Cheating on taxes, 4-p. wrong
  • Justifiable: Paying cash to avoid taxes, 10-p. just.
  • Justifiable: Undeserved govt. benefits, harmon. 11-p. just.
  • Justifiable: Undeserved govt. benefits, 10-p. just.
  • Justifiable: Undeserved govt. benefits, 4-p. wrong
  • Justifiable: Avoid public transport fare, 10-p. just.
  • Obey laws always, harmon. dichotom.
  • Obey laws always, dichotom.
  • Obey laws always, 4-p. agree
  • Obey laws always, 5-p. agree
  • Support pol. system always
Support for Regime Principles
  • State-Church relat.1: Fit public office - belief, 5-p. agree
  • State-Church relat.1: Fit public office - belief, 4-p. agree
  • State-Church relat.2: Relig. person better for pub. office, 5-p. agree
  • State-Church relat.2: Relig. person better for pub. office, 4-p. agree
  • State-Church relat.3: Relig. leader shldnt influence vote, 5-p. agree
  • State-Church relat.3: Relig. leader shldnt influence vote, 4-p. agree
  • State-Church relat.4: Relig. Institut. shldnt influence vote, 4-p. agree
  • State-Church relat.5: Mosque/church shldnt used for elect., 4-p. agree
  • State-Church relat.6: Relig. leader shldnt influence gov, 5-p. agree
  • State-Church relat.7: Relig. leader shldnt influ. gov. decisions, 4-p. agree
  • State-Church relat.8: Better less religious influence, 5-p. aggree
  • State-Church relat.9: How much influence by rel. leaders
Regime Performance
  • Perform.1: Satisfact. democracy, harmon. 11-p.
  • Perform.1: Satisfact. democracy, 4-p.
  • Perform.1: Satisfact. democracy, 11-p.
  • Perform.1: Satisfact. democracy, 5-p.
  • Perform.1: Satisfact. democracy, 10-p.
  • Perform.1: Satisfact. democracy, 11-p.poor -well
  • Perform.1: Satisfact. democracy, 10-p.poor -well
  • Perform.1: Satisfact. democracy, 11-p.worst - best
  • Perform.2: How democracy is ctry, harmon. 11-p.
  • Perform.2: How democracy is ctry, 4-p.
  • Perform.2: How democracy is ctry, 11-p.
  • Perform.2: How democracy is ctry, 10-p.
  • Perform.2: How democracy is ctry, dichotom.
  • Perform.3: Rate governing, harmon. 11-p.
  • Perform.3: Rate governing, 11-p.
  • Perform.3: Rate governing, 10-p.
  • Perform.4: How democractic was ctry 10y ago, harmon. 11-p.
  • Perform.4: How democractic was ctry 10y ago, 11-p.
  • Perform.4: How democractic was ctry 10y ago, 10-p.
  • Perform.5: Rate former pol. system, harmon. 11-p.
  • Perform.5: Rate former pol. system , 11-p.
  • Perform.5: Rate former pol. system, 10-p.
Regime Institutions
  • Trust People1: Take advantage or try to be fair, harm. 11-p.
  • Trust People1: Take advantage or try to be fair, 11-p.
  • Trust People1: Take advantage or try to be fair, 4-p.
  • Trust People1: Take advantage or try to be fair, dichotom.
  • Trust People1: Take advantage or try to be fair, 3-p.
  • Trust People2: Be trusted or not too careful, harm. 11-p.
  • Trust People2: Be trusted or not too careful, 11-p.
  • Trust People2: Be trusted or not too careful, 4-p.
  • Trust People2: Be trusted or not too careful, dichotom.
  • Trust People2: Be trusted or not too careful, 3-p.
  • Trust People2: Be trusted or not too careful, 4-p, agree
  • Trust People3: Helpful or self-focused, harm. 11-p.
  • Trust People3: Helpful or self-focused, 11-p.
  • Trust People3: Helpful or self-focused, dichotom.
  • Trust People4: Personally known, 4-p.
  • Trust People4: Personally known, partly harm. 5-p.
  • Trust People5: Meet first time, 4-p.
  • Trust People6: Of other religion, 4-p.
  • Trust People7: Of other nationality, 4-p.
  • Trust People8: Of own nationality, harm 11-p.
  • Trust People8: Of own nationality, 4-p.
  • Trust People8: Of own nationality, partly harm. 5-p.
  • Trust People9: Of neighborhood, 4-p.
  • Trust People10: Relatives, harm. 11-p.
  • Trust People10: Relatives, 4-p.
  • Trust People10: Relatives, partly harm. 5-p.
  • Trust People11: Relatives never seen, 4-p.
  • Trust People12: Of own ethnic group, 4-p.
  • Trust People13: Of other ethnic group, 4-p.
  • Trust People14: People work/study at same place, 4-p.
  • Trust People15: Firemen, 4-p.
  • Trust People16: Telephone operator, 4-p.
  • Trust People17: Municipal functionaries, 4-p.
  • Trust People18: Foreigner, 4-p.
  • Trust People19: Indigenous person, 4-p.
  • Trust People20: Poor person, 4-p.
  • Trust Institutions1: Parliament, harm. 11-p.
  • Trust Institutions1: Parliament, 4-p.
  • Trust Institutions1: Parliament, partly harm. 5-p.
  • Trust Institutions1: Parliament, dichotom.
  • Trust Institutions2: Legal system, harm. 11-p.
  • Trust Institutions2: Legal system, 4-p.
  • Trust Institutions2: Legal system, partly harm. 5-p.
  • Trust Institutions2: Legal system, dichotom.
  • Trust Institutions3: The police, harm. 11-p.
  • Trust Institutions3: The police, 4-p.
  • Trust Institutions3: The police, partly harm. 5-p.
  • Trust Institutions3: The police, dichotom.
  • Trust Institutions4: Politicians, harm. 11-p.
  • Trust Institutions5: Pol. parties, harm. 11-p.
  • Trust Institutions5: Pol. parties, 4-p.
  • Trust Institutions5: Pol. parties, partly harm. 5-p.
  • Trust Institutions5: Pol. parties, dichotom.
  • Trust Institutions6: The political party, 4-p.
  • Trust Institutions7: Schools/educ. system, harm. 11-p.
  • Trust Institutions7: Schools/educ. system, 4-p.
  • Trust Institutions7: Schools/educ.sys., partly harm. 5-p.
  • Trust Institutions8: Armed forces, harm. 11-p.
  • Trust Institutions8: Armed forces, 4-p.
  • Trust Institutions8: Armed forces, partly harm. 5-p.
  • Trust Institutions8: Armed forces, dichotom.
  • Trust Institutions9: Civil services, harm. 11-p.
  • Trust Institutions9: Civil services, 4-p.
  • Trust Institutions9: Civil services, partly harm. 5-p.
  • Trust Institutions9: Civil services, dichotom.
  • Trust Institutions9: Civil services,5-p. agree
  • Trust Institutions10: Social security system, 4-p.
  • Trust Institutions11: Government, harm. 11-p.
  • Trust Institutions11: Government, 4-p.
  • Trust Institutions11: Government, partly harm. 5-p.
  • Trust Institutions11: Government, dichotom.
  • Trust Institutions12: People in Government, harm. 11-p.
  • Trust Institutions12: People in Government, 4-p.
  • Trust Institutions12: People in Government, 4-p. agree
  • Trust Institutions12: People in Government,5-p. agree
  • Trust Institutions13: President/ PM, harm. 11-p.
  • Trust Institutions13: President/ PM, 4-p.
  • Trust Institutions13: President/ PM, partly harm. 5-p.
  • Trust Institutions14: Reg./local govt., harm. 11-p.
  • Trust Institutions14: Reg./local govt., 4-p.
  • Trust Institutions14: Reg./local govt., partly harm. 5-p.
  • Trust Institutions14: Reg./local govt., dichotom.
  • Trust Institutions15: Local govt., harm. 11-p.
  • Trust Institutions15: Local govt., 4-p.
  • Trust Institutions15: Local govt., partly harm. 5-p.
  • Trust Institutions15: Local govt., dichotom.
  • Trust Institutions15: Local govt., officials, 4-p. agree
  • Trust Institutions16: State, 4-p.
  • Trust Institutions17: Electoral Commiss., harm. 11-p.
  • Trust Institutions17: Electoral Commiss., 4-p.
  • Trust Institutions17: Electoral Commiss., partly harm. 5-p.
  • Trust Institutions18: Elections, partly harm. 5-p.
  • Trust rel.institutions1: Churches/relig.org., harm. 11-p.
  • Trust rel.institutions1: Churches/relig.org., 4-p.
  • Trust rel.institutions1: Churches/relig.org., part. harm. 5-p.
  • Trust rel.institutions1: Churches/ relig. organiz., dichotom.
  • Trust rel.institutions2: Religious leaders, 4-p.
  • Trust rel.institutions3: Evang./Prot. Church, harm. 11-p.
  • Trust rel.institutions3: Evang./Prot. Church, 4-p.
  • Trust rel.institutions3: Evang./Prot. Church, part. harm. 5-p.
  • Trust rel.institutions4: Catholic Church, partly harm. 5-p.
  • Trust Media1: The written press/ newspapers, harm. 11-p.
  • Trust Media1: The written press/ newspapers, 4-p.
  • Trust Media1: The written press/ newspapers, partly harm. 5-p.
  • Trust Media1: The written press/ newspapers, dichotom.
  • Trust Media2: Television, harm. 11-p.
  • Trust Media2: Television, 4-p.
  • Trust Media2: Television, partly harm. 5-p.
  • Trust Media2: Television, dichotom.
  • Trust Media3: Radio, harm. 11-p.
  • Trust Media3: Radio, 4-p.
  • Trust Media3: Radio, dichotom.
  • Trust Media4: The media, harm. 11-p.
  • Trust Media4: The media, 4-p.
  • Trust Media4: The media, partly harm. 5-p.
  • Trust Media5: The media, harm. 11-p.
  • Trust Media5: The media, 4-p.
  • Trust Media5: The internet, dichotom.
  • Trust Media6: Online social networks, harm. 11-p.
  • Trust Media6: Online social networks, 4-p.
  • Trust Media6: Online social networks, dichotom.
  • Situation in State21: Rel. freedom guaranteed, 4-p. extent
  • Situation in State21: Rel. freedom guaranteed, 5-p. agree
  • Situation in State28: Satif. state of economy, harm. 11-p. Satif.
  • Situation in State28: Satif. state of economy, 4-p. Satif.
  • Situation in State28: Satif. state of economy, 5-p. Satif.
  • Situation in State28: Satif. state of economy, 11-p. Satif.
  • Situation in State29: Rate state of economy in ctry, harm. 11-p. good-bad
  • Situation in State29: Rate state of economy in ctry, 4-p. good-bad
  • Situation in State29: Rate state of economy in ctry, 5-p. good-bad

Miscellaneous

Politics
  • Left-Right1: Self-placement, harmonized 11-p. scale
  • Left-Right1: Self-placement, 11-p. scale
  • Left-Right1: Self-placement, 10-p. scale
  • Left-Right1: Self-placement, 7-p. scale
  • Left-Right1: Self-placement, 5-p. scale
  • Left-Right2: Derived from vote choice, harmonized 11-p. scale
  • Left-Right2: Derived from vote choice, 5-p. scale
  • Left-Right2: Derived from vote choice, 10-p. scale
  • Left-Right2: Derived from vote choice, 3-p. scale
  • Left-Right2: Derived from vote choice, dichotomous
  • Left-Right2: Derived from vote choice, 4-p. scale
  • Party attachment2: Which party feel close to
  • Vote choice1: last national election/ would vote next election
  • Vote choice2: Hypothetical vote choice
  • How interested in politics, harmonized 3-p. interest
  • How interested in politics, 4-p. interest
  • How interested in politics, 5-p. interest
  • How interested in politics, EVS_1981-1984 4-p. interest
  • Most people are better informed than I am
Immigration
  • Qualification for immigration1: Christian background
  • Qualification for immigration2: Committed to way of life in country
  • Qualification for immigration3: Good educational qualifications
  • Qualification for immigration4: Speak country's official language
  • Qualification for immigration5: Be white
  • Qualification for immigration6: Work skills needed in country
  • Immigrant preferences1: Many/few: same race/ethnic group
  • Immigrant preferences2: Many/few: diff. race/ethnic group
  • Immigrant preferences4: Many/few: poor ctry in Europe
  • Immigrant preferences6: Many/few: poor ctry outside Europe
  • Immigrant preferences10: Good/bad: Middle East / North Africa
  • Immigrant preferences11: Good/bad: East European ctrys
  • Immigrant preferences12: Good/bad: former Soviet Bloc ctrys
  • Immigrant preferences13: Good/bad: Asians
  • Immigrant preferences14: Good/bad: Mexicans / Latin Americans
  • Immigrant preferences15: Good/bad: African ctrys
  • Immigrant preferences16: Positive/negative: other EU States
  • Immigrant preferences17: Positive/negative: outside the EU
  • No of immigrants1: Too many in country, 5-p. agree
  • No of immigrants1: Too many in country, 4-p. agree
  • No of immigrants2: Increase or decrease, harmon. 3-p. scale
  • No of immigrants2: Increase or decrease, 5-p. scale
  • No of immigrants2: Increase or decrease, 3-p. scale
  • No of immigrants4: Too many foreigners
  • Beliefs about immigr.4: Do not want to integrate
  • Beliefs about immigr.5: Immigr./Refug. want to adopt
  • Beliefs about immigr.6: Muslims want to adopt
  • Beliefs about immigr.7: How many minority race/ethnic group
  • Beliefs about immigr.8: How many from outside cntry
  • Assimilation/Integration1: Not share trad. impossible be national
  • Assimilation/Integration2: Gov. assistance preserve traditions
  • Assimilation/Integration3: Traditions vs. ctry customs, harm. 11-p.
  • Assimilation/Integration3: Traditions vs. ctry customs, dicotom.
  • Assimilation/Integration3: Traditions vs. ctry customs, 10-p.
  • Assimilation/Integration3: Traditions vs. ctry customs, 3 categ.
  • Assimilation/Integration3: Traditions vs. ctry customs, 4-p. agree
  • Assimilation/Integration4: Better share customs and trad.
  • Immigrat. Impact1: Foreigners should not be allowed to buy land, 5-p. agree
  • Immigrat. Impact2: bad/good for economy, harmon. 5-p. agree
  • Immigrat. Impact2: bad/good for economy, 5-p. agree
  • Immigrat. Impact2: bad/good for economy, 11-p. bad/good
  • Immigrat. Impact3: undermine/enrich culture, harmon. 5-p. agree
  • Immigrat. Impact3: undermine/enrich culture, 5-p. agree
  • Immigrat. Impact3: undermine/enrich culture, 11-p.
  • Immigrat. Impact3: undermine/enrich culture, 10-p.
  • Immigrat. Impact3: undermine/enrich culture, 4-p. agree
  • Immigrat. Impact4: make ctry worse/better place to live, harm. 11-p.
  • Immigrat. Impact4: make ctry worse/better place to live, 11-p.
  • Immigrat. Impact4: make ctry worse/better place to live, 3-p.
  • Immigrat. Impact5: take jobs away in ctry, harmon. 5-p. agree
  • Immigrat. Impact5: take jobs away in ctry, 5-p. agree
  • Immigrat. Impact5: take jobs away in ctry, 11-p. take vs. create jobs
  • Immigrat. Impact5: take jobs away in ctry, 10-p. do vs. don't
  • Immigrat. Impact5: take jobs away in ctry, take/do jobs cit. not want
  • Immigrat. Impact6: needed to work in some econ. sectors, 4-p. agree
  • Immigrat. Impact7: Employers shld prioritize nationals
  • Immigrat. Impact8: strain on country's welfare system, 11-p.
  • Immigrat. Impact8: strain on country's welfare system, 10-p.
  • Immigrat. Impact9: contribute a lot to [COUNTRY], 4-p. agree
  • Immigrat. Impact10: increase crime rates, harmonized 5-p. agree
  • Immigrat. Impact10: increase crime rates, 5-p. agree
  • Immigrat. Impact10: increase crime rates, ESS
  • Immigrat. Impact10: increase crime rates, 10-p. do vs. don't
  • Immigrat. Impact10: increase crime rates, 4-p. agree
  • Immigrat. Impact10: increase crime rates, PewGAP
  • Immigrat. Impact11: improve [NATIONALITY] society, 5-p. agree
  • Immigrat. Impact11: improve [NATIONALITY] society, 4-p. agree
  • Immigrat. Impact12: threat to society, harmon. 5-p. agree
  • Immigrat. Impact12: threat to society , 5-p. agree
  • Immigrat. Impact12: threat to society , 10-p. will vs. won't
  • Immigrat. Impact12: threat to society , 4-p. agree
  • Immigrat. Impact12: threat to society, 4-p. extent threat
  • Immigrat. Impact13: Refugees increase likelihood of terrorism
  • Immigrat. Impact14: make ctry stronger vs. are a burden on ctry
  • Immigrat. Policies1: Law against ethnic discrimination good/bad for country
  • Immigrat. Policies2: Legal immigr. same rights as cit., harmon. 11-p.
  • Immigrat. Policies2: Legal immigr. same rights as cit., 5-p. agree
  • Immigrat. Policies2: Legal immigr. same rights as cit., 4-p. agree
  • Immigrat. Policies2: Legal immigr. same rights as cit., 2-p. agree
  • Immigrat. Policies3: Legal immigr. access to education, 5-p. agree
  • Immigrat. Policies4: Legal immigr. allowed bring close fam., harmon. 11-p.
  • Immigrat. Policies4: Legal immigr. allowed bring close fam., 5-p. agree
  • Immigrat. Policies4: Legal immigr. allowed bring close fam., 4-p. agree
  • Immigrat. Policies4: Legal immigr. allowed bring close fam., 2-p. agree
  • Immigrat. Policies5: Gov. generous judging refugee status, 5-p. agree
  • Immigrat. Policies6: Immigr. with nationality easier attain cit.ship, 5-p. agree
  • Immigrat. Policies7: Stronger measures to exclude illegal immigr., 5-p. agree
  • Immigrat. Policies8: More restrict entry to ctry, 4-p. agree
  • Immigrat. Policies9: Border controls shld be abolished, 2-p. agree
  • Immigrat. Policies10: Conditions for economic migration law
  • Immigrat. Policies11: Gov. restrict inflow foreign workforce, 5-p. agree
  • Immigrat. Policies12: Born in country become citizen, 5-p. agree
  • Immigrat. Policies13: Become citizen if parent cit., 5-p. agree
  • Immigrat. Policies14: Right to settle in any country, 2-p. agree
  • Immigrat. Policies15: Right of asylum is fundamental human right, 2-p. agree
  • Immigrat. Policies16: Legal: send back if serious offences, 2-p. agree
  • Immigrat. Policies17: Legal: send back if unemployed, 2-p. agree
  • Immigrat. Policies18: Legal: send back all, 2-p. agree
  • Immigrat. Policies19: Legal: become naturalised easily, 2-p. agree
  • Immigrat. Policies20: Illegal: send back all, 2-p. agree
  • Immigrat. Policies21: Hire illegal workers punished more severely, 2-p. agree
  • Immigrat. Policies22: Illegal: Pers. circum. if allow to stay, 2-p. agree
  • Immigrat. Policies23: All should be sent back, 2-p. agree
  • Immigrat. Policies24: Right to asylum shld be easier to obtain, 2-p. agree
  • Solidarity1: Rich countries accept responsibility
  • Solidarity2: Too much money help, 5-p. agree
  • Solidarity2: Too much money help, 3-p.
  • Solidarity3: Country should do more help integrate
  • Solidarity4: Country should help refugees

Background and Protocol Variables (automatically included)

Background Variables
  • Age of respondent
  • Age of respondent, categ.
  • Year of birth
  • Years of full-time schooling
  • Age when finished school
  • Education level (low - mid - high)
  • Highest completed degree of education
  • Number of persons in household
  • Subjective household income
  • Life satisfaction, harm. 11-p. scale
  • Life satisfaction, 4-p. scale
  • Life satisfaction, 5-p. scale
  • Life satisfaction, 11-p. scale
  • Life satisfaction, 10-p. scale
  • Happiness, harmonized 11-p. scale
  • Happiness, 4-p. scale
  • Happiness, 5-p. scale
  • Happiness, 11-p. scale
  • Happiness, 3-p. scale
  • Happiness, 10-p. scale
  • Respondent has a partner
  • Legal partnership status
  • Gender of respondent
  • Subjective social class, harm. 3 cat.
  • Subjective social class, 5 cat.
  • Subjective social class, 4 cat.
  • Subjective social class, 3 cat.
  • Coded by interviewer, EVS/WVS
  • Coded by interviewer, LatinoB
  • Top-bottom self-placement, harm. 10-p.
  • Top-bottom self-placement, 10-p.
  • Top-bottom self-placement, 7-p.
  • Urban-Suburban-Rural
  • Urban-Rural
  • Occupation, ISCO88
  • Occupation ISCO08
  • Occupation, other codings
  • Employed, self-employed, unpaid worker
  • Mainstatus (paid work, unemployed, in education…)
  • ONBound numeric country codes (based on ISO 3166), territorial coding
  • Country names as used in Appendix 1 (Country Codes)
  • ONBound historized alpha numeric codes (based on ISO 3166 ALPHA-3), pol. Coding
Protocol Variables
  • Protocol Variables: Year of interview
  • Protocol Variables: Day of interview
  • Protocol Variables: Month of interview
  • Unique numeric code identifying the studies included in the dataset
  • Version of original dataset
  • Date dowload of dataset (yyyymmdd)
  • Original Respondent Identification
  • String variable indicating the original study and the original wave name
  • String variable identifying the studies included in the dataset
  • Identifier for country and study wave
  • Original weight: Design weight
  • Original weight: Post-stratification weight
  • Original weight: Population size weight
  • Original weight: Post-strat and/or design weight

Additional Background Variables

Warning for Stata users! Subject may cause Stata to abort. To include subnational regions separately, please consult the User Guide.

Subnational Regions
  • Background variable: Geographical Variables: Region Country specific

Macro-level data

Religion and State Project, Round 3

The Religion and State (RAS) project is a university-based project located at Bar Ilan University in Ramat Gan, Israel. The general goal is to provide detailed codings on several aspects of separation of religion and state for 183 states on a yearly basis between 1990 and 2014. This constitutes all countries with populations of 250,000 or more, as well as a sampling of countries with lower populations.

Includes Variables on:

  • POLICIES: POLICY SETTINGS: RELIGION: Separation of Religion and State, Religious Discrimination Against Minority Religions, Regulation of and Restrictions on the Majority Religion or All Religions, Specific Types of Religious Support, Detailed Variables, Religion and Citizenship, Building, Leasing or Repairing Places of Worship, Religious Political Parties, Discrimination, Harassment, Acts of Prejudice and Violence Against Minority Religions, Minority Actions of Discrimination, Harassment, Acts of Prejudice and Violence, General Societal Relations, Societal Regulation of Religion

For more information see RAS Homepage

Main Variable Topics:

  • POLICIES: POLICY SETTINGS: RELIGION
Church Attendance and Religious Change Pooled European Dataset

CARPE provides a cumulative dataset of the main international surveys containing items concerning religiosity (Eurobarometer, ESS, EVS, ISSP, WVS). The dataset covers 46 European countries and the period 1970-2016.

Includes Variables on:

  • CIVIL SOCIETY: POPULATION: BASIC POPULATION FIGURES: Specific (Age Distribution, Spacial Distribution)
  • CIVIL SOCIETY: POPULATION: EDUCATION: Attainment
  • CIVIL SOCIETY: RELIGION: RELIGIOUS RELEVANCE: Church Attendance
  • CIVIL SOCIETY: DIVERSITY: RELIGIOUS DIVERSITY: Distribution of Religious Denomination

For more information see CARPE Homepage

Main Variable Topics:

  • CIVIL SOCIETY: POPULATION: BASIC POPULATION FIGURES
  • CIVIL SOCIETY: POPULATION: EDUCATION
  • CIVIL SOCIETY: RELIGION: RELIGIOUS RELEVANCE
  • CIVIL SOCIETY: DIVERSITY: RELIGIOUS DIVERSITY
CIRI Human Rights Data Project

The CIRI Human Rights Dataset contains standards-based quantitative information on government respect for 15 internationally recognized human rights for 202 countries, annually from 1981-2011. It was designed to be used by scholars and students who seek to test theories about the causes and consequences of human rights violations, as well as policy makers and analysts who seek to estimate the human rights effects of a wide variety of institutional changes and public policies including democratization, economic aid, military aid, structural adjustment, and humanitarian intervention.

Includes Variables on:

  • STATE INDICATORS: SPECIAL TOPIC: HUMAN RIGHTS

For more information see CIRI Homepage

Main Variable Topics:

  • STATE INDICATORS: SPECIAL TOPIC: HUMAN RIGHTS
Democratic Electoral Systems around the world, 1946-2016

The third version of the Democratic Electoral Systems (DES) dataset on electoral rules covers democratic elections from 1946 (or independence) through 2011.The new dataset contains information on 1197 legislative and 433 presidential elections. In addition to significantly expanding the temporal scope of the original DES dataset, more detailed information about the elections and electoral systems, including the dates for each round of elections as well as the rules used in different electoral tiers have been added.

Includes Variables on:

  • STATE INDICATORS: POLITICS & POLITY: POLITY: REGIME TYPE
  • STATE INDICATORS: POLITICS & POLITY: POLITICS: ELECTIONS: Legislative Elections, Presidential Elections

For more information see DES Homepage

Main Variable Topics:

  • STATE INDICATORS: POLITICS & POLITY: POLITY: REGIME TYPE
  • STATE INDICATORS: POLITICS & POLITY: POLITICS: ELECTIONS
The Ethnic Power Relations (EPR) Core Dataset 2018 (available for Stata only)

The EPR Core Dataset 2018 is an updated and extended version of the Ethnic Power Relations (EPR-ETH) dataset Version 2, covering the time period from 1946 to 2017. It provides annual data on politically relevant ethnic groups, their relative sizes as a share of the total population, and their access to executive state power in all countries of the world with a population of at least 250,000 and where ethnicity has been politicized.

Includes Variables on:

  • CIVIL SOCIETY: POPULATION: BASIC POPULATION FIGURES: General
  • CIVIL SOCIETY: DIVERSITY: ETHNIC DIVERSITY: Distribution of Ethnic Groups
  • CIVIL SOCIETY: RELIGION: RELIGIOUS RELEVANCE: Role in Society

For more information see EPR Homepage

Please note: At the moment we only provide harmonization files in Stata.

Main Variable Topics:

  • CIVIL SOCIETY: POPULATION: BASIC POPULATION FIGURES
  • CIVIL SOCIETY: DIVERSITY: ETHNIC DIVERSITY
  • CIVIL SOCIETY: RELIGION: RELIGIOUS RELEVANCE
Indicators of Citizenship Rights for Immigrants

The project is based on original data drawn from policy documents, legal texts, secondary literature, internet websites, and expert information. The qualitative information from these sources is transformed into ordinal codes, classifying policies as more or less restrictive in terms of the extent and accessibility of rights for immigrants. Temporal trends in the means (as a measure of liberalisation) and cross-national standard deviations (as a measure of convergence) of policies are related by way of bivariate and multivariate regression analyses to explanatory variables such as EU membership, the strength and scope of judicial review, government incumbency of left-wing parties, and the electoral strength of right-wing populist parties. In the first phase of the project data have been gathered for ten North-Western European countries for four measurement years: 1980, 1990, 2002 and 2008. In a second phase, data was collected for four classical Anglo-Saxon settler countries as well as for additional Eastern and Southern European countries, Middle Eastern, East Asian, African and South American countries. As a result, data is now available for 29 countries for the year 2008.

Includes Variables on:

  • POLICIES: POLICY SETTINGS: IMMIGRATION: General
  • POLICIES: POLICY SETTINGS: IMMIGRATION: Nationality Acquisition, Expulsion, Marriage, Access to Public Service, Anti-Discrimination, Political Rights, Educational Rights, Cultural and Religious Rights

For more information see ICRI Homepage

Main Variable Topics:

  • POLICIES: POLICY SETTINGS: IMMIGRATION
  • POLICIES: POLICY SETTINGS: IMMIGRATION
The IMPIC Project: Immigration Policies in Comparison (currently available for Stata only)

Over the last two decades both immigration politics and research on immigration issues have become very important. So far, there is however no dataset that would allow researchers to systematically investigate immigration policies across a large sample of countries. The aim of the Immigration Policies in Comparison (IMPIC) project is therefore to provide a set of sophisticated quantitative indices to measure immigration policies in all OECD countries and for the time period 1980-2010. By means of this new dataset the causes and effects of immigration policies will be studied more systematically.

Includes Variables on:

  • POLICIES: POLICY SETTINGS: IMMIGRATION: Family Reunion, Labor Market, Asylum, Co-Ethnics, Control of Immigration

For more information see IMPIC Homepage

Main Variable Topics:

  • POLICIES: POLICY SETTINGS: IMMIGRATION
KOF Globalization Index

The KOF Globalisation Index measures the economic, social and political dimensions of globalisation. Globalisation in the economic, social and political fields has been on the rise since the 1970s, receiving a particular boost after the end of the Cold War.

Includes Variables on:

  • STATE INDICATORS: SPECIAL TOPICS: GLOBALIZATION: General, Economical, Social, Political

For more information see KOF Homepage

Main Variable Topics:

  • STATE INDICATORS: SPECIAL TOPICS: GLOBALIZATION
Migration Integration Policy Index 2015

The Migrant Integration Policy Index (MIPEX) is a unique tool which measures policies to integrate migrants in all EU Member States, Australia, Canada, Iceland, Japan, South Korea, New Zealand, Norway, Switzerland, Turkey and the USA. 167 policy indicators have been developed to create a rich, multi-dimensional picture of migrants' opportunities to participate in society. The index is a useful tool to evaluate and compare what governments are doing to promote the integration of migrants in all the countries analysed.

Includes Variables on:

  • POLICIES: POLICY SETTINGS: INTEGRATION: General, Family Reunion, Education, Political Participation, Permanent Residence, Access to Nationality, Anti-Discrimination, Health

For more information see MIPEX Homepage

Please note: Unfortunately, data for Belgium, Cyprus, Norway, South-Korea and Sweden are only available in Stata.

Main Variable Topics:

  • POLICIES: POLICY SETTINGS: INTEGRATION
Polity IV Annual Time-Series, 1800-2018

Polity IV Project, Political Regime Characteristics and Transitions, 1800-2018, annual, cross-national, time-series and polity-case formats coding democratic and autocratic "patterns of authority" and regime changes in all independent countries with total population greater than 500,000 in 2018 (167 countries in 2018) (SPSS and Excel data; PDF codebook)

Includes Variables on:

  • STATE INDICATORS: POLITICS & POLITY: POLITY: REGIME TYPE

For more information see POLITY IV Homepage

Main Variable Topics:

  • STATE INDICATORS: POLITICS & POLITY: POLITY: REGIME TYPE
Religious Characteristics of States Dataset Project, Demographics

The RCS-Dem dataset reports estimates of religious demographics, both country by country and region by region. RCS was created to fulfill the unmet need for a dataset on the religious dimensions of countries of the world, with the state-year as the unit of observation. It covers 220 independent states, 26 selected substate entities, and 41 geographically separated dependencies, for every year from 2015 back to 1900 and often 1800 (more than 42,000 state-years). It estimates populations and percentages of adherents of 100 religious denominations including second level subdivisions within Christianity and Islam, along with several complex categories such as 'Western Christianity'. RCS is designed for easy merger with datasets of the Correlates of War and Polity projects, datasets by the United Nations, the Religion and State datasets by Jonathan Fox, and the ARDA national profiles. (ARDA)

Includes Variables on:

  • CIVIL SOCIETY: POPULATION: BASIC POPULATION FIGURES: General
  • CIVIL SOCIETY: RELIGION: RELIGIOUS RELEVANCE: Role in Society
  • CIVIL SOCIETY: DIVERSITY: RELIGIOUS DIVERSITY: Distribution of Religious Denomination

For more information see RCSHomepage

Main Variable Topics:

  • CIVIL SOCIETY: POPULATION: BASIC POPULATION FIGURES
  • CIVIL SOCIETY: RELIGION: RELIGIOUS RELEVANCE
  • CIVIL SOCIETY: DIVERSITY: RELIGIOUS DIVERSITY
Religious Diversity Index

This study calculates Religious Diversity Index (RDI) scores for countries, regions and the world based on the shares of eight major world religions (Buddhism, Christianity, folk or traditional religions, Hinduism, Islam, Judaism, other religions considered as a group, and the religiously unaffiliated). The methodology used by Pew Research to calculate the levels of religious diversity was developed by former senior researcher Brian J. Grim in consultation with other members of the Pew Research Center staff, building on a methodology that Grim developed with Todd M. Johnson, director of the Center for the Study of Global Christianity.

Includes Variables on:

  • CIVIL SOCIETY: DIVERSITY: RELIGIOUS DIVERSITY: Religious Diversity Index
  • CIVIL SOCIETY: DIVERSITY: RELIGIOUS DIVERSITY: Distribution of Religious Denomination

For more information see RDI Homepage

Main Variable Topics:

  • CIVIL SOCIETY: DIVERSITY: RELIGIOUS DIVERSITY
  • CIVIL SOCIETY: DIVERSITY: RELIGIOUS DIVERSITY
Religion and Nation in Constitutions Worldwide

The RNCw-Data Set comprises of a unique data set of constitutional texts regarding articles that refer directly and explicitly on both fields of religion and nation. The data set was compiled during the research project ONBound, which was funded by the German Research Foundation.

Includes Variables on:

  • POLICIES: CONSTITUTIONS: GENERAL INFO: Enactment
  • POLICIES: CONSTITUTIONS: RELIGION: State-Church-Relation
  • POLICIES: CONSTITUTIONS: NATIONAL IDENTITY
  • POLICIES: CONSTITUTIONS: SPECIAL TOPIC: Citizenship and Religion, Language, Ethnicity

For more information see RNCw Homepage

  • POLICIES: CONSTITUTIONS: GENERAL INFO
  • POLICIES: CONSTITUTIONS: RELIGION
  • POLICIES: CONSTITUTIONS: NATIONAL IDENTITY
  • POLICIES: CONSTITUTIONS: SPECIAL TOPIC
UNHCR's populations of concern (available for Stata only)

UNHCR Statistics - The World in Numbers: The number of people displaced due to conflict, war, persecution and human rights violations has increased significantly in recent years. UNHCRs statistics are a sad testimony of this global trend, with the world map on this page clearly visualising the increase in displacement over time. It is also evidence of the complexity of forced displacement today, with the number and different type of populations UNHCR is engaged with, increasing globally each year.

Includes Variables on:

  • CIVIL SOCIETY: POPULATION: MIGRATION: General
  • CIVIL SOCIETY: POPULATION: MIGRATION: Refugees, Asylum Seekers, Internally Displaced Persons, Stateless Persons, Other People of Concern

For more information see UNHCR Homepage

Please note: At the moment we only provide harmonization files in Stata.

Main Variable Topics:

  • CIVIL SOCIETY: POPULATION: MIGRATION
  • CIVIL SOCIETY: POPULATION: MIGRATION
United Nations: Demographic Statistics Database (Religious Affiliations) (available for Stata only)

The United Nations Statistics Division collects, compiles and disseminates official demographic and social statistics on a wide range of topics. Data have been collected since 1948 through a set of questionnaires dispatched annually to over 230 national statistical offices and have been published in the Demographic Yearbook collection. The Demographic Yearbook disseminates statistics on population size and composition, births, deaths, marriage and divorce, as well as respective rates, on an annual basis. The Demographic Yearbook census datasets cover a wide range of additional topics including economic activity, educational attainment, household characteristics, housing characteristics, ethnicity, language, foreign-born and foreign population. The available Population and Housing Censuses´ datasets reported to UNSD for the censuses conducted worldwide since 1995, are now available in UN data.

Includes Variables on:

  • CIVIL SOCIETY: POPULATION: BASIC POPULATION FIGURES: General
  • CIVIL SOCIETY: DIVERSITY: RELIGIOUS DIVERSITY: Distribution of Religious Denomination

For more information see UNSD Homepage

Please note: At the moment we only provide harmonization files in Stata.

Main Variable Topics:

  • CIVIL SOCIETY: POPULATION: BASIC POPULATION FIGURES
  • CIVIL SOCIETY: DIVERSITY: RELIGIOUS DIVERSITY
World Development Indicators

The primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates.

Includes Variables on:

  • STATE INDICATORS: STANDARD OF LIVING: GENERAL: Life expectancy
  • STATS INDICATORS: STANDARD OF LIVING: WELFARE: State Expenditures, State Performance
  • STATE INDICATORS: STANDARD OF LIVING: SECURITY: State Expenditures, Conflicts
  • STATE INDICATORS: STANDARD OF LIVING: GENDER EQUALITY: General, Role of Woman in Politics, Role in Society, Gender Parity Index (GPI)
  • STATE INDICATORS: ECONOMY: BASIC ECONOMY INDICATORS: General, Economic Inequality, Poverty, Trade
  • CIVIL SOCIETY: POPULATION: BASIC POPULATION FIGURES: General, Specific (Age Distribution, Spacial Distribution)
  • CIVIL SOCIETY: POPULATION: MIGRATION: General, Refugees, Internally Displaced Persons
  • CIVIL SOCIETY: POPULATION: EDUCATION: Enrollment, Attainment, Outcome
  • POLICIES: CONSTITUTIONS: SPECIAL TOPIC: Gender Equality

For more information see WDI Homepage

Main Variable Topics:

  • STATE INDICATORS: STANDARD OF LIVING: GENERAL
  • STATS INDICATORS: STANDARD OF LIVING: WELFARE
  • STATE INDICATORS: STANDARD OF LIVING: SECURITY
  • STATE INDICATORS: STANDARD OF LIVING: GENDER EQUALITY
  • STATE INDICATORS: ECONOMY: BASIC ECONOMY INDICATORS
  • CIVIL SOCIETY: POPULATION: BASIC POPULATION FIGURES
  • CIVIL SOCIETY: POPULATION: MIGRATION
  • CIVIL SOCIETY: POPULATION: EDUCATION
  • POLICIES: CONSTITUTIONS: SPECIAL TOPIC
World Religion Project - National Religion Dataset

The World Religion Project (WRP) aims to provide detailed information about religious adherence worldwide since 1945. It contains data about the number of adherents by religion in each of the states in the international system. These numbers are given for every half-decade period (1945, 1950, etc., through 2010). Percentages of the states' populations that practice a given religion are also provided.

Includes Variables on:

  • CIVIL SOCIETY: POPULATION: BASIC POPULATION FIGURES: General
  • CIVIL SOCIETY: DIVERSITY: RELIGIOUS DIVERSITY: Distribution of Religious Denomination

For more information see WRP Homepage

Main Variable Topics:

  • CIVIL SOCIETY: POPULATION: BASIC POPULATION FIGURES
  • CIVIL SOCIETY: DIVERSITY: RELIGIOUS DIVERSITY

In this section, countries can be selected.

The ONBound project offers macro-level data with a time scope ranging between 1945 and 2019. Micro-level data ranges between 1970 and 2018. Countries that experienced changes due to unification or separation processes are sometimes differently handled by source datasets. As result, we included a unique coding scheme to do justice to this different handling. When selecting countries, please keep two things in mind: First, selecting some countries might imply the selection of sub-national regions, e.g. Germany East and Germany West. Second, as consequence of this coding scheme, countries are grouped in accordance to their former entities (which depends on the time of data collection).

Countries Select all

Afghanistan
Albania
Algeria
American Samoa
Andorra
Angola
Anguilla
Antigua and Barbuda
Argentina
Armenia
Aruba
Australia
Austria
Azerbaijan
Bahamas
Bahrain
Bangladesh
Barbados
Belarus
Belgium
incl.: Belgium Brussels, Belgium Flanders, Belgium Wallonia
Belize
Benin
Bermuda
Bhutan
Bolivia, Plurinational State of
Bonaire, Sint Eustatius and Saba
Bosnia and Herzegovina
Botswana
Brazil
Brunei Darussalam
Bulgaria
Burkina Faso
Burundi
Cambodia
Cameroon
Canada
Cape Verde
Cayman Islands
Central African Republic
Chad
Chile
China
incl.: Tibet Autonomous Region
Colombia
Comoros
Congo, Democratic Republic of The
Congo, Republic of The
Cook Islands
Costa Rica
Cote D'Ivoire
Croatia
Cuba
Curaçao
Cyprus
incl.: Cyprus without Northern Cyprus (Cy_TCC), Northern Cyprus (Turkish Cypriot Admin)
Czech Republic
Czechoslovakia
incl.: Czech Republic before independence, Slovakia before independence
Denmark
Djibouti
Dominica
Dominican Republic
Ecuador
Egypt
El Salvador
Equatorial Guinea
Eritrea
Estonia
Ethiopia
incl.: Eritrea before independence, Ethiopia With Eritrea before independence Eri, Ethiopia Without Eritrea before independence Eri
Falkland Islands
Faroe Islands
Fiji
Finland
France
French Guiana
French Polynesia
Gabon
Gambia, Republic of The
Georgia
Germany
incl.: Federal Republic of Germany before unification, German Democratic Republic before unification , Germany East, Germany West
Ghana
Gibraltar
Greece
Greenland
Grenada
Guadeloupe
Guam
Guatemala
Guinea
Guinea-Bissau
Guyana
Haiti
Holy See
Honduras
Hong Kong
Hungary
Iceland
India
Indonesia
Iran (Islamic Republic of)
Iraq
incl.: Kurdistan(Iraq)
Ireland
Isle of Man
Israel
Italy
Jamaica
Japan
Jordan
Kazakhstan
Kenya
Kiribati
Korea, Democratic People'S Republic of (North)
Korea, Republic of (South)
incl.: Korea, Democratic People'S Republic of (North) before separation, Korea, Republic of (South) before separation, Korea total
Kosovo
Kuwait
Kyrgyzstan
Lao People'S Democratic Republic
Latvia
Lebanon
Lesotho
Liberia
Libyan Arab Jamahiriya
Liechtenstein
Lithuania
Luxembourg
Macao
Macedonia, The Former Yugoslav Republic of
Madagascar
Malawi
Malaysia
Maldives
Mali
Malta
Marshall Islands
Martinique
Mauritania
Mauritius
Mayotte
Mexico
Micronesia, Federated States of
Moldova, Republic of
Monaco
Mongolia
Montenegro
Montserrat
Morocco
Mozambique
Myanmar
Namibia
Nauru
Nepal
Netherlands
Netherlands Antilles
incl.: Aruba before independence, Bonaire, Saint Eustasius and Saba before independence, Curaçao before independence, Sint Maarten (Dutch Part) before independence
New Caledonia
New Zealand
Nicaragua
Niger
Nigeria
Niue
Norfolk Islands
Northern Mariana Islands
Norway
Oman
Pakistan
Palau
Palestinian Territory, Occupied
incl.: Gaza (Palestine), West Bank (Palestine)
Panama
Papua New Guinea
Paraguay
Peru
Philippines
Pitcairn
Poland
Portugal
Puerto Rico
Qatar
Reunion
Romania
Ruandi-Burundi
incl.: Rwanda before independence
Russian Federation
Rwanda
Saint Helena
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French Part)
Saint Pierre and Miquelon
Saint Vincent and The Grenadines
Samoa
San Marino
Sao Tome and Principe
Saudi Arabia
Senegal
Serbia
incl.: Serbia without Kosovo after 2008, Kosovo 2007-2008
Serbia and Montenegro
incl.: Montenegro between 1993 and 2006, Serbia between 1993 and 2006, Serbia without Kosovo between 1993 and 2007, Kosovo 1993-2006
Seychelles
Sierra Leone
Singapore
Sint Maarten
Slovakia
Slovenia
Solomon Islands
Somalia
South Africa
South Sudan
Spain
Sri Lanka
Sudan, The Republic of The
incl.: Sudan, North before separation, South Sudan before separation, Sudan, Total
Suriname
Swaziland
Sweden
Switzerland
Syrian Arab Republic
Taiwan
Tajikistan
Tanzania, United Republic of
incl.: Zanzibar
Thailand
Timor-Leste
Togo
Tokelau
Tonga
Trinidad and Tobago
Tunisia
Turkey
Turkmenistan
Turks and Caicos Islands
Tuvalu
USSR
incl.: Armenia before independence, Azerbaijan before independence, Belarus before independence, Estonia before independence, Georgia before independence, Kazakhstan before independence, Kyrgyzstan before independence, Lithuania before independence, Latvia before independence, Moldova before independence, Russian Federation before independence, Tajikistan before independence, Turkmenistan before independence, Ukraine before independence, Uzbekistan before independence
Uganda
Ukraine
United Arab Emirates
United Kingdom
incl.: Northern Ireland, Great Britain without North Ireland)
United States
Uruguay
Uzbekistan
Vanuatu
Venezuela
Viet Nam
incl.: South Vietnam before unification, Democratic Republic of Viet Nam before unification
Virgin Islands (British)
Virgin Islands (U.S.)
Wallis and Futuna
Western Sahara
Yemen
incl.: Yemen Arab Republic before unification, People´S Democratic Republic of Yemen before unification
Yugoslavia, Socialist Federal Republic of
incl.: Bosnia Herzegovina before independence, Croatia before independence, Macedonia, The Former Yugoslav Republic of before independence, Montenegro before independence, Serbia and Montenegro before independence, Serbia before independence, Serbia Without Kosovo before independence, Slovenia before independence, Kosovo before independence
Zambia
Zimbabwe
× Missing data

Please select at least one country to continue.

This section provides an overview of the availability of all selected variables and countries. If you wish to deselect topics or countries, please go back to the respective tabs.

Key for the cells:

  • green marking: The variable is available for all time-points in this country
  • yellow marking: The variable is not available for all time-points in this country. Please hover over the icons to see which time points are available
  • red marking: The variable is not available for this country at any time-points

Warning Signs indicate that either no variable is available within the whole topic based on your country selection or no variable is available by country within the selected topic.

Selected topics and variables Aruba Afghanistan Angola Anguilla Albania Andorra Netherlands Antilles United Arab Emirates Argentina Armenia American Samoa Antigua and Barbuda Australia Austria Azerbaijan Burundi Belgium Benin Bonaire, Sint Eustatius and Saba Burkina Faso Bangladesh Bulgaria Bahrain Bahamas Bosnia and Herzegovina Belarus Belize Bermuda Bolivia, Plurinational State of Brazil Barbados Brunei Darussalam Bhutan Botswana Central African Republic Canada Switzerland Chile China Cote D'Ivoire Cameroon Congo, Democratic Republic of The Congo, Republic of The Cook Islands Colombia Comoros Cape Verde Costa Rica Czechoslovakia Cuba Curaçao Cayman Islands Cyprus Czech Republic Germany Djibouti Dominica Denmark Dominican Republic Algeria Ecuador Egypt Eritrea Western Sahara Spain Estonia Ethiopia Finland Fiji Falkland Islands France Faroe Islands Micronesia, Federated States of Gabon United Kingdom Georgia Ghana Gibraltar Guinea Guadeloupe Gambia, Republic of The Guinea-Bissau Equatorial Guinea Greece Grenada Greenland Guatemala French Guiana Guam Guyana Hong Kong Honduras Croatia Haiti Hungary Indonesia Isle of Man India Ireland Iran (Islamic Republic of) Iraq Iceland Israel Italy Jamaica Jordan Japan Kazakhstan Kenya Kyrgyzstan Cambodia Kiribati Saint Kitts and Nevis Korea, Republic of (South) Kuwait Lao People'S Democratic Republic Lebanon Liberia Libyan Arab Jamahiriya Saint Lucia Liechtenstein Sri Lanka Lesotho Lithuania Luxembourg Latvia Macao Saint Martin (French Part) Morocco Monaco Moldova, Republic of Madagascar Maldives Mexico Marshall Islands Macedonia, The Former Yugoslav Republic of Mali Malta Myanmar Montenegro Mongolia Northern Mariana Islands Mozambique Mauritania Montserrat Martinique Mauritius Malawi Malaysia Mayotte Namibia New Caledonia Niger Norfolk Islands Nigeria Nicaragua Niue Netherlands Norway Nepal Nauru New Zealand Oman Pakistan Panama Pitcairn Peru Philippines Palau Papua New Guinea Poland Puerto Rico Korea, Democratic People'S Republic of (North) Portugal Paraguay Palestinian Territory, Occupied French Polynesia Qatar Reunion Romania Ruandi-Burundi Russian Federation Rwanda Saudi Arabia Serbia and Montenegro Sudan, The Republic of The Senegal Singapore Saint Helena Solomon Islands Sierra Leone El Salvador San Marino Somalia Saint Pierre and Miquelon Serbia South Sudan Sao Tome and Principe USSR Suriname Slovakia Slovenia Sweden Swaziland Sint Maarten Seychelles Syrian Arab Republic Turks and Caicos Islands Chad Togo Thailand Tajikistan Tokelau Turkmenistan Timor-Leste Tonga Trinidad and Tobago Tunisia Turkey Tuvalu Taiwan Tanzania, United Republic of Uganda Ukraine Uruguay United States Uzbekistan Holy See Saint Vincent and The Grenadines Venezuela Virgin Islands (British) Virgin Islands (U.S.) Viet Nam Vanuatu Wallis and Futuna Samoa Kosovo Yemen Yugoslavia, Socialist Federal Republic of South Africa Zambia Zimbabwe
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