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:
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:
Warning for Stata users! Subject may cause Stata to abort. To include subnational regions separately, please consult the User Guide.
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.
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For more information see RAS Homepage
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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.
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For more information see CARPE Homepage
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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.
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For more information see CIRI Homepage
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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.
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For more information see DES Homepage
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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.
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For more information see EPR Homepage
Please note: At the moment we only provide harmonization files in Stata.
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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.
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For more information see ICRI Homepage
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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.
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For more information see IMPIC Homepage
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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.
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For more information see KOF Homepage
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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.
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For more information see MIPEX Homepage
Please note: Unfortunately, data for Belgium, Cyprus, Norway, South-Korea and Sweden are only available in Stata.
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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)
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For more information see POLITY IV Homepage
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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)
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For more information see RCSHomepage
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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.
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For more information see RDI Homepage
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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.
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For more information see RNCw Homepage
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.
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For more information see UNHCR Homepage
Please note: At the moment we only provide harmonization files in Stata.
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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.
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For more information see UNSD Homepage
Please note: At the moment we only provide harmonization files in Stata.
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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.
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For more information see WDI Homepage
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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.
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For more information see WRP Homepage
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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).
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:
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.
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You have not selected any of the topics, therefore no availability table could be displayed. However, by clicking on the button below, you can create and download a zip file that contains the harmonization of the obligatory topics. |
Thank you for creating your customized harmonization syntax package with the Onbound Harmonization Wizard.