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The Government Religious Preference dataset (GRP) measures government-level favoritism toward, and disfavor against, 30 religious denominations. The unit of observation is the state-year. A series of ordered categorical variables index the state's institutional favoritism in 28 different ways. Those 28 variables are combined to form five composite indices for five broad components of state-religion: official status, religious education, financial support, regulatory burdens, and freedom of practice. The five components' composites in turn are further combined into a single composite score, the GRP score. All of this is done for each of the 30 religious denominations covered in the dataset. The total number of data points is approximately 42 million, distributed in six data files. [See More...]

The Government Religious Preference dataset (GRP) measures government-level favoritism toward, and disfavor against, 30 religious denominations. The unit of observation is the state-year. A series of ordered categorical variables index the state's institutional favoritism in 28 different ways. Those 28 variables are combined to form five composite indices for five broad components of state-religion: official status, religious education, financial support, regulatory burdens, and freedom of practice. The five components' composites in turn are further combined into a single composite score, the GRP score. All of this is done for each of the 30 religious denominations covered in the dataset. The total number of data points is approximately 42 million, distributed in six data files. Version 2.0 expands the dataset considerably from the original version. Version 2.0 draws from many more primary and secondary sources. It covers all independent states that are included in the Correlates of War state system. Its temporal coverage ranges from 2015 back to the year of the state's independence or about 1800, whichever is later. The precise years of coverage for each state is detailed in the Codebook, Appendix A. Each variable-level data point is documented with a Coding Event number to enable users to identify the source used to populate the variable. This dataset is the fourth of six files. It contains the Government Religious Preference Financial Support. [See More...]

The Government Religious Preference dataset (GRP) measures government-level favoritism toward, and disfavor against, 30 religious denominations. The unit of observation is the state-year. A series of ordered categorical variables index the state's institutional favoritism in 28 different ways. Those 28 variables are combined to form five composite indices for five broad components of state-religion: official status, religious education, financial support, regulatory burdens, and freedom of practice. The five components' composites in turn are further combined into a single composite score, the GRP score. All of this is done for each of the 30 religious denominations covered in the dataset. The total number of data points is approximately 42 million, distributed in six data files. Version 2.0 expands the dataset considerably from the original version. Version 2.0 draws from many more primary and secondary sources. It covers all independent states that are included in the Correlates of War state system. Its temporal coverage ranges from 2015 back to the year of the state's independence or about 1800, whichever is later. The precise years of coverage for each state is detailed in the Codebook, Appendix A. Each variable-level data point is documented with a Coding Event number to enable users to identify the source used to populate the variable. This dataset is the sixth of six files. It contains the Government Religious Preference Free Exercise. [See More...]

The Government Religious Preference dataset (GRP) measures government-level favoritism toward, and disfavor against, 30 religious denominations. The unit of observation is the state-year. A series of ordered categorical variables index the state's institutional favoritism in 28 different ways. Those 28 variables are combined to form five composite indices for five broad components of state-religion: official status, religious education, financial support, regulatory burdens, and freedom of practice. The five components' composites in turn are further combined into a single composite score, the GRP score. All of this is done for each of the 30 religious denominations covered in the dataset. The total number of data points is approximately 42 million, distributed in six data files. Version 2.0 expands the dataset considerably from the original version. Version 2.0 draws from many more primary and secondary sources. It covers all independent states that are included in the Correlates of War state system. Its temporal coverage ranges from 2015 back to the year of the state's independence or about 1800, whichever is later. The precise years of coverage for each state is detailed in the Codebook, Appendix A. Each variable-level data point is documented with a Coding Event number to enable users to identify the source used to populate the variable. This dataset is the second of six files. It contains the Government Religious Preference Official Religion Status. [See More...]

The Government Religious Preference dataset (GRP) measures government-level favoritism toward, and disfavor against, 30 religious denominations. The unit of observation is the state-year. A series of ordered categorical variables index the state's institutional favoritism in 28 different ways. Those 28 variables are combined to form five composite indices for five broad components of state-religion: official status, religious education, financial support, regulatory burdens, and freedom of practice. The five components' composites in turn are further combined into a single composite score, the GRP score. All of this is done for each of the 30 religious denominations covered in the dataset. The total number of data points is approximately 42 million, distributed in six data files. Version 2.0 expands the dataset considerably from the original version. Version 2.0 draws from many more primary and secondary sources. It covers all independent states that are included in the Correlates of War state system. Its temporal coverage ranges from 2015 back to the year of the state's independence or about 1800, whichever is later. The precise years of coverage for each state is detailed in the Codebook, Appendix A. Each variable-level data point is documented with a Coding Event number to enable users to identify the source used to populate the variable. This dataset is the fifth of six files. It contains the Government Religious Preference Regulatory Burdens. [See More...]

The Government Religious Preference dataset (GRP) measures government-level favoritism toward, and disfavor against, 30 religious denominations. The unit of observation is the state-year. A series of ordered categorical variables index the state's institutional favoritism in 28 different ways. Those 28 variables are combined to form five composite indices for five broad components of state-religion: official status, religious education, financial support, regulatory burdens, and freedom of practice. The five components' composites in turn are further combined into a single composite score, the GRP score. All of this is done for each of the 30 religious denominations covered in the dataset. The total number of data points is approximately 42 million, distributed in six data files. Version 2.0 expands the dataset considerably from the original version. Version 2.0 draws from many more primary and secondary sources. It covers all independent states that are included in the Correlates of War state system. Its temporal coverage ranges from 2015 back to the year of the state's independence or about 1800, whichever is later. The precise years of coverage for each state is detailed in the Codebook, Appendix A. Each variable-level data point is documented with a Coding Event number to enable users to identify the source used to populate the variable. This dataset is the third of six files. It contains the Government Religious Preference Religious Education. [See More...]

The Religious Characteristics of States Dataset (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. The third phase, Chief Executives' Religions, provides data on religious affiliations of countries' 'chief executives,' i.e., their presidents, prime ministers, or other heads of state/government exercising largely real, not ceremonial, political power. The dataset, like others in the RCS data project, is designed expressly 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. [See More...]

The Religious Characteristics of States Dataset (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. The third phase, Chief Executives' Religions, provides data on religious affiliations of countries' 'chief executives,' i.e., their presidents, prime ministers, or other heads of state/government exercising largely real, not ceremonial, political power. The dataset, like others in the RCS data project, is designed expressly 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. [See More...]

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. [See More...]

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. [See More...]