This statistic shows the 10 countries with the largest number of Catholics in 2010. 133.66 million Catholics lived in Brazil.

Except for Uruguay, over 60 percent of the population in all the selected Latin American countries defined themselves as Catholics in 2000. However, by 2023, that was the case in only three countries: Mexico, Peru and Colombia. Over this 20-year period, Panama experienced the largest decrease in the share of Catholic believers, plummeting from 82.8 to 33.4 percent.

Catholics to Population {title at top of page}Data Developers: Burhans, Molly A., Cheney, David M., Emege, Thomas, Gerlt, R.. . “Catholics to Population {title at top of page}”. Scale not given. Version 1.0. MO and CT, USA: GoodLands Inc., Catholic Hierarchy, Environmental Systems Research Institute, Inc., 2019.Web map developer: Molly Burhans, October 2019Web app developer: Molly Burhans, October 2019GoodLands’ polygon data layers, version 2.0 for global ecclesiastical boundaries of the Roman Catholic Church:Although care has been taken to ensure the accuracy, completeness and reliability of the information provided, due to this being the first developed dataset of global ecclesiastical boundaries curated from many sources it may have a higher margin of error than established geopolitical administrative boundary maps. Boundaries need to be verified with appropriate Ecclesiastical Leadership. The current information is subject to change without notice. No parties involved with the creation of this data are liable for indirect, special or incidental damage resulting from, arising out of or in connection with the use of the information. We referenced 1960 sources to build our global datasets of ecclesiastical jurisdictions. Often, they were isolated images of dioceses, historical documents and information about parishes that were cross checked. These sources can be viewed here:https://docs.google.com/spreadsheets/d/11ANlH1S_aYJOyz4TtG0HHgz0OLxnOvXLHMt4FVOS85Q/edit#gid=0To learn more or contact us please visit: https://good-lands.org/The Catholic Leadership global maps information is derived from the Annuario Pontificio, which is curated and published by the Vatican Statistics Office annually, and digitized by David Cheney at Catholic-Hierarchy.org -- updated are supplemented with diocesan and news announcements. GoodLands maps this into global ecclesiastical boundaries. Admin 3 Ecclesiastical Territories:Burhans, Molly A., Cheney, David M., Gerlt, R.. . “Admin 3 Ecclesiastical Territories For Web”. Scale not given. Version 1.2. MO and CT, USA: GoodLands Inc., Environmental Systems Research Institute, Inc., 2019.Derived from:Global Diocesan Boundaries:Burhans, M., Bell, J., Burhans, D., Carmichael, R., Cheney, D., Deaton, M., Emge, T. Gerlt, B., Grayson, J., Herries, J., Keegan, H., Skinner, A., Smith, M., Sousa, C., Trubetskoy, S. “Diocesean Boundaries of the Catholic Church” [Feature Layer]. Scale not given. Version 1.2. Redlands, CA, USA: GoodLands Inc., Environmental Systems Research Institute, Inc., 2016.Using: ArcGIS. 10.4. Version 10.0. Redlands, CA: Environmental Systems Research Institute, Inc., 2016.Boundary ProvenanceStatistics and Leadership DataCheney, D.M. “Catholic Hierarchy of the World” [Database]. Date Updated: August 2019. Catholic Hierarchy. Using: Paradox. Retrieved from Original Source.Catholic HierarchyAnnuario Pontificio per l’Anno .. Città del Vaticano :Tipografia Poliglotta Vaticana, Multiple Years.The data for these maps was extracted from the gold standard of Church data, the Annuario Pontificio, published yearly by the Vatican. The collection and data development of the Vatican Statistics Office are unknown. GoodLands is not responsible for errors within this data. We encourage people to document and report errant information to us at data@good-lands.org or directly to the Vatican.Additional information about regular changes in bishops and sees comes from a variety of public diocesan and news announcements.

Historically, Portugal has been a country of Catholics. The 2021 census demonstrated that this trend has not been inverted, as over 80 percent of the population in Portugal identified as Catholic. Protestant or Evangelic believers accounted for more than two percent of the population, while Jehovah's Witnesses constituted one percent of residents. Among non-Christian faiths, Muslims were the most representative group, making up 0.42 percent of the population.

Religious but generally not practicing the faith

In the same year, Catholics numbered more than seven million people spread throughout the country, conquering the religious majority in the mainland and in the two autonomous regions. Citizens without religion totaled more than 1.2 million, which made of them the second most numerous religious group in Portugal. Young people presented the same religious trend, with young Catholics being the most representative group, followed by non-religious. Among youngsters, the attendance of religious events was mostly conducted occasionally, while a quarter did not participate in such proceedings at all.

The contribute of immigration to the growth of Evangelical Christianity

Despite being the minority, non-Catholic Christian and non-Christian faiths have been growing in Portugal. In 2011, Evangelical believers totaled 75.6 thousand, more than doubling ten years after. Such growth was partially motivated by the increase in Brazilian immigration, as more than 61 percent of new members of Evangelical churches in 2023 were of Brazilian origin. In fact, Brazil was the place of origin of almost 82 percent of all the immigrant Evangelical Christians residing in Portugal. However, more than a quarter of new Evangelical Christians were Portuguese, which shows that other religions, namely Christian Catholicism, have been losing members to Evangelical Catholicism.

Philippines Population: RA: Roman Catholic data was reported at 80,304,061.000 Person in 2015. This records a decrease from the previous number of 92,097,978.000 Person for 2010. Philippines Population: RA: Roman Catholic data is updated yearly, averaging 80,304,061.000 Person from Dec 2000 (Median) to 2015, with 3 observations. The data reached an all-time high of 92,097,978.000 Person in 2010 and a record low of 61,862,898.000 Person in 2000. Philippines Population: RA: Roman Catholic data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G003: Population: Religious: Affiliation.

Based on the 2020 census, Region 5 or the Bicol Region registered the highest share of households who reported Roman Catholic as their religious affiliation at 93.5 percent. This was followed by Region 8 or Eastern Visayas with a share of 92.3 percent. In contrast, only five percent of households in BARMM were Roman Catholics. The Philippines is one of the countries in the world with the highest population professing the Catholic faith, after Brazil and Mexico.

Although traditionally a Catholic country, Spain saw a decline in the number of believers over the past years. Compared to 2011, when the share of believers accounted for slightly over 70 percent of the Spanish population, the Catholic community lost approximately 13 percentage points of their faithful by September 2024 with a share of 57.1 percent of the surveyed population. Believers of a religion other than Catholicism accounted for approximately 3.3 percent of the Spanish population in 2024 according to the most recent data. A Catholic majority, a practicing minority Going to mass is no longer a thing in Spain, or so it would seem when looking at the latest statistics about the matter: over 50 percent of those who consider themselves Catholics almost never attend any religious service in September 2024. Since 2021, the figures only decreased in the past years, with 55.5 percent of the population never going to religious services in 2011 down to 50 percent in 2024. The not so Catholic Spain Around 38 percent of the surveyed population stated to be either non-believers or full atheists in 2024. Non-believers or people that do not have a religious faith fluctuated over the past years with the latest figures showing a 12.1 percent of people that categorize themselves as so. The share of Spanish atheists is on the rise according to the most recent surveys, taking up 15.5 percent of respondents in May 2024.

Singapore Population: Religion: Christianity: Catholic data was reported at 220.900 Person th in 2015. This records an increase from the previous number of 219.133 Person th for 2010. Singapore Population: Religion: Christianity: Catholic data is updated yearly, averaging 219.133 Person th from Jun 2000 (Median) to 2015, with 3 observations. The data reached an all-time high of 220.900 Person th in 2015 and a record low of 118.980 Person th in 2000. Singapore Population: Religion: Christianity: Catholic data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G002: Population by Religion .

This table provides Census 2021 estimates that classify people by Country of birth (12 categories) by Religion or religion brought up in for Northern Ireland. The table contains 48 counts.

The census collected information on the usually resident population of Northern Ireland on census day (21 March 2021). Initial contact letters or questionnaire packs were delivered to every household and communal establishment, and residents were asked to complete online or return the questionnaire with information as correct on census day. Special arrangements were made to enumerate special groups such as students, members of the Travellers Community, HM Forces personnel etc. The Census Coverage Survey (an independent doorstep survey) followed between 12 May and 29 June 2021 and was used to adjust the census counts for under-enumeration.

notes

1. 'EU' is the European Union and is as defined on census day (21 March 2021).
2. People who gave 'Cyprus' as their country of birth are included within the 'Europe: Other EU countries' category.
3. 'Europe: Other Non-EU countries' includes United Kingdom (part not specified) and Ireland (part not specified).
4. 'Religion' indicates religion, religious denomination or body.
5. 'Catholic' includes those who gave their current religion as Catholic or Roman Catholic.

Quality assurance report can be found here

The share for Catholic and Evangelic believers in Brazil show opposite trends. While in 1994 Catholics gathered 75 percent of the Brazilian population, it is estimated that in 2032 this figure will drop to 39.8 percent. Meanwhile Evangelicals, which at the beginning of the indicated period were only 14 percent of the population, are estimated to reach 38.6 percent by 2032, a growth of 24.6 percentage points. Nevertheless, in 2019, Brazilian catholic believers were still the largest group, with 51 percent.

In 2020, Mexico had a catholic population of 97,864,218 people, by far the most followed religion in the country. Almost 13 percent of that population was 60 years of age or older. The second age group with the most catholic followers was between 10 and 14 years of age, with 8.7 percent.

新加坡 Population: Religion: Christianity: Catholic在2015达220.900 Person th，相较于2010的219.133 Person th有所增长。新加坡 Population: Religion: Christianity: Catholic数据按每年更新，2000至2015期间平均值为219.133 Person th，共3份观测结果。该数据的历史最高值出现于2015，达220.900 Person th，而历史最低值则出现于2000，为118.980 Person th。CEIC提供的新加坡 Population: Religion: Christianity: Catholic数据处于定期更新的状态，数据来源于Department of Statistics，数据归类于Global Database的新加坡 – Table SG.G002: Population by Religion 。

菲律宾 Population: RA: Philippine Independent Catholic Church在2015达66,959.000 人口，相较于2010的154,686.000 人口有所下降。菲律宾 Population: RA: Philippine Independent Catholic Church数据按每年更新，2010至2015期间平均值为110,822.500 人口，共2份观测结果。该数据的历史最高值出现于2010，达154,686.000 人口，而历史最低值则出现于2015，为66,959.000 人口。CEIC提供的菲律宾 Population: RA: Philippine Independent Catholic Church数据处于定期更新的状态，数据来源于Philippine Statistics Authority，数据归类于Global Database的菲律宾 – Table PH.G003: Population: Religious: Affiliation。

In 2024, Ethiopia had the largest Christian population in Africa, with around 77.5 million people who identified as Christian. The second highest Christian population was in Nigeria, with 74.4 million people. Christianity has a significant presence in Africa, with its history on the continent dating back to the fourth century in Ethiopia. Furthermore, Christianity has spread throughout Africa with different denominations and traditions, taking root in various regions. Some of the largest Christian denominations in Africa include the Roman Catholic Church, the Anglican Church, and the Pentecostal and Charismatic movements.

PerCapita_CO2_Footprint_InDioceses_FULLBurhans, Molly A., Cheney, David M., Gerlt, R.. . “PerCapita_CO2_Footprint_InDioceses_FULL”. Scale not given. Version 1.0. MO and CT, USA: GoodLands Inc., Environmental Systems Research Institute, Inc., 2019.MethodologyThis is the first global Carbon footprint of the Catholic population. We will continue to improve and develop these data with our research partners over the coming years. While it is helpful, it should also be viewed and used as a "beta" prototype that we and our research partners will build from and improve. The years of carbon data are (2010) and (2015 - SHOWN). The year of Catholic data is 2018. The year of population data is 2016. Care should be taken during future developments to harmonize the years used for catholic, population, and CO2 data.1. Zonal Statistics: Esri Population Data and Dioceses --> Population per dioceses, non Vatican based numbers2. Zonal Statistics: FFDAS and Dioceses and Population dataset --> Mean CO2 per Diocese3. Field Calculation: Population per Diocese and Mean CO2 per diocese --> CO2 per Capita4. Field Calculation: CO2 per Capita * Catholic Population --> Catholic Carbon FootprintAssumption: PerCapita CO2Deriving per-capita CO2 from mean CO2 in a geography assumes that people's footprint accounts for their personal lifestyle and involvement in local business and industries that are contribute CO2. Catholic CO2Assumes that Catholics and non-Catholic have similar CO2 footprints from their lifestyles.Derived from:A multiyear, global gridded fossil fuel CO2 emission data product: Evaluation and analysis of resultshttp://ffdas.rc.nau.edu/About.htmlRayner et al., JGR, 2010 - The is the first FFDAS paper describing the version 1.0 methods and results published in the Journal of Geophysical Research.Asefi et al., 2014 - This is the paper describing the methods and results of the FFDAS version 2.0 published in the Journal of Geophysical Research.Readme version 2.2 - A simple readme file to assist in using the 10 km x 10 km, hourly gridded Vulcan version 2.2 results.Liu et al., 2017 - A paper exploring the carbon cycle response to the 2015-2016 El Nino through the use of carbon cycle data assimilation with FFDAS as the boundary condition for FFCO2."S. Asefi‐Najafabady P. J. Rayner K. R. Gurney A. McRobert Y. Song K. Coltin J. Huang C. Elvidge K. BaughFirst published: 10 September 2014 https://doi.org/10.1002/2013JD021296 Cited by: 30Link to FFDAS data retrieval and visualization: http://hpcg.purdue.edu/FFDAS/index.phpAbstractHigh‐resolution, global quantification of fossil fuel CO2 emissions is emerging as a critical need in carbon cycle science and climate policy. We build upon a previously developed fossil fuel data assimilation system (FFDAS) for estimating global high‐resolution fossil fuel CO2 emissions. We have improved the underlying observationally based data sources, expanded the approach through treatment of separate emitting sectors including a new pointwise database of global power plants, and extended the results to cover a 1997 to 2010 time series at a spatial resolution of 0.1°. Long‐term trend analysis of the resulting global emissions shows subnational spatial structure in large active economies such as the United States, China, and India. These three countries, in particular, show different long‐term trends and exploration of the trends in nighttime lights, and population reveal a decoupling of population and emissions at the subnational level. Analysis of shorter‐term variations reveals the impact of the 2008–2009 global financial crisis with widespread negative emission anomalies across the U.S. and Europe. We have used a center of mass (CM) calculation as a compact metric to express the time evolution of spatial patterns in fossil fuel CO2 emissions. The global emission CM has moved toward the east and somewhat south between 1997 and 2010, driven by the increase in emissions in China and South Asia over this time period. Analysis at the level of individual countries reveals per capita CO2 emission migration in both Russia and India. The per capita emission CM holds potential as a way to succinctly analyze subnational shifts in carbon intensity over time. Uncertainties are generally lower than the previous version of FFDAS due mainly to an improved nightlight data set."Global Diocesan Boundaries:Burhans, M., Bell, J., Burhans, D., Carmichael, R., Cheney, D., Deaton, M., Emge, T. Gerlt, B., Grayson, J., Herries, J., Keegan, H., Skinner, A., Smith, M., Sousa, C., Trubetskoy, S. “Diocesean Boundaries of the Catholic Church” [Feature Layer]. Scale not given. Version 1.2. Redlands, CA, USA: GoodLands Inc., Environmental Systems Research Institute, Inc., 2016.Using: ArcGIS. 10.4. Version 10.0. Redlands, CA: Environmental Systems Research Institute, Inc., 2016.Boundary ProvenanceStatistics and Leadership DataCheney, D.M. “Catholic Hierarchy of the World” [Database]. Date Updated: August 2019. Catholic Hierarchy. Using: Paradox. Retrieved from Original Source.Catholic HierarchyAnnuario Pontificio per l’Anno .. Città del Vaticano :Tipografia Poliglotta Vaticana, Multiple Years.The data for these maps was extracted from the gold standard of Church data, the Annuario Pontificio, published yearly by the Vatican. The collection and data development of the Vatican Statistics Office are unknown. GoodLands is not responsible for errors within this data. We encourage people to document and report errant information to us at data@good-lands.org or directly to the Vatican.Additional information about regular changes in bishops and sees comes from a variety of public diocesan and news announcements.GoodLands’ polygon data layers, version 2.0 for global ecclesiastical boundaries of the Roman Catholic Church:Although care has been taken to ensure the accuracy, completeness and reliability of the information provided, due to this being the first developed dataset of global ecclesiastical boundaries curated from many sources it may have a higher margin of error than established geopolitical administrative boundary maps. Boundaries need to be verified with appropriate Ecclesiastical Leadership. The current information is subject to change without notice. No parties involved with the creation of this data are liable for indirect, special or incidental damage resulting from, arising out of or in connection with the use of the information. We referenced 1960 sources to build our global datasets of ecclesiastical jurisdictions. Often, they were isolated images of dioceses, historical documents and information about parishes that were cross checked. These sources can be viewed here:https://docs.google.com/spreadsheets/d/11ANlH1S_aYJOyz4TtG0HHgz0OLxnOvXLHMt4FVOS85Q/edit#gid=0To learn more or contact us please visit: https://good-lands.org/Esri Gridded Population Data 2016DescriptionThis layer is a global estimate of human population for 2016. Esri created this estimate by modeling a footprint of where people live as a dasymetric settlement likelihood surface, and then assigned 2016 population estimates stored on polygons of the finest level of geography available onto the settlement surface. Where people live means where their homes are, as in where people sleep most of the time, and this is opposed to where they work. Another way to think of this estimate is a night-time estimate, as opposed to a day-time estimate.Knowledge of population distribution helps us understand how humans affect the natural world and how natural events such as storms and earthquakes, and other phenomena affect humans. This layer represents the footprint of where people live, and how many people live there.Dataset SummaryEach cell in this layer has an integer value with the estimated number of people likely to live in the geographic region represented by that cell. Esri additionally produced several additional layers World Population Estimate Confidence 2016: the confidence level (1-5) per cell for the probability of people being located and estimated correctly. World Population Density Estimate 2016: this layer is represented as population density in units of persons per square kilometer.World Settlement Score 2016: the dasymetric likelihood surface used to create this layer by apportioning population from census polygons to the settlement score raster.To use this layer in analysis, there are several properties or geoprocessing environment settings that should be used:Coordinate system: WGS_1984. This service and its underlying data are WGS_1984. We do this because projecting population count data actually will change the populations due to resampling and either collapsing or splitting cells to fit into another coordinate system. Cell Size: 0.0013474728 degrees (approximately 150-meters) at the equator. No Data: -1Bit Depth: 32-bit signedThis layer has query, identify, pixel, and export image functions enabled, and is restricted to a maximum analysis size of 30,000 x 30,000 pixels - an area about the size of Africa.Frye, C. et al., (2018). Using Classified and Unclassified Land Cover Data to Estimate the Footprint of Human Settlement. Data Science Journal. 17, p.20. DOI: http://doi.org/10.5334/dsj-2018-020.What can you do with this layer?This layer is unsuitable for mapping or cartographic use, and thus it does not include a convenient legend. Instead, this layer is useful for analysis, particularly for estimating counts of people living within watersheds, coastal areas, and other areas that do not have standard boundaries. Esri recommends using the Zonal Statistics tool or the Zonal Statistics to Table tool where you provide input zones as either polygons, or raster data, and the tool will summarize the count of population within those zones. https://www.esri.com/arcgis-blog/products/arcgis-living-atlas/data-management/2016-world-population-estimate-services-are-now-available/

This study contains selected demographic, social, economic, public policy, and political comparative data for Switzerland, Canada, France, and Mexico for the decades of 1900-1960. Each dataset presents comparable data at the province or district level for each decade in the period. Various derived measures, such as percentages, ratios, and indices, constitute the bulk of these datasets. Data for Switzerland contain information for all cantons for each decennial year from 1900 to 1960. Variables describe population characteristics, such as the age of men and women, county and commune of origin, ratio of foreigners to Swiss, percentage of the population from other countries such as Germany, Austria and Lichtenstein, Italy, and France, the percentage of the population that were Protestants, Catholics, and Jews, births, deaths, infant mortality rates, persons per household, population density, the percentage of urban and agricultural population, marital status, marriages, divorces, professions, factory workers, and primary, secondary, and university students. Economic variables provide information on the number of corporations, factory workers, economic status, cultivated land, taxation and tax revenues, canton revenues and expenditures, federal subsidies, bankruptcies, bank account deposits, and taxable assets. Additional variables provide political information, such as national referenda returns, party votes cast in National Council elections, and seats in the cantonal legislature held by political groups such as the Peasants, Socialists, Democrats, Catholics, Radicals, and others. Data for Canada provide information for all provinces for the decades 1900-1960 on population characteristics, such as national origin, the net internal migration per 1,000 of native population, population density per square mile, the percentage of owner-occupied dwellings, the percentage of urban population, the percentage of change in population from preceding censuses, the percentage of illiterate population aged 5 years and older, and the median years of schooling. Economic variables provide information on per capita personal income, total provincial revenue and expenditure per capita, the percentage of the labor force employed in manufacturing and in agriculture, the average number of employees per manufacturing establishment, assessed value of real property per capita, the average number of acres per farm, highway and rural road mileage, transportation and communication, the number of telephones per 100 population, and the number of motor vehicles registered per 1,000 population. Additional variables on elections and votes are supplied as well. Data for France provide information for all departements for all legislative elections since 1936, the two presidential elections of 1965 and 1969, and several referenda held in the period since 1958. Social and economic data are provided for the years 1946, 1954, and 1962, while various policy data are presented for the period 1959-1962. Variables provide information on population characteristics, such as the percentages of population by age group, foreign-born, bachelors aged 20 to 59, divorced men aged 25 and older, elementary school students in private schools, elementary school students per million population from 1966 to 1967, the number of persons in household in 1962, infant mortality rates per million births, and the number of priests per 10,000 population in 1946. Economic variables focus on the Gross National Product (GNP), the revenue per capita per household, personal income per capita, income tax, the percentage of active population in industry, construction and public works, transportation, hotels, public administration, and other jobs, the percentage of skilled and unskilled industrial workers, the number of doctors per 10,000 population, the number of agricultural cooperatives in 1946, the average hectares per farm, the percentage of farms cultivated by the owner, tenants, and sharecroppers, the number of workhorses, cows, and oxen per 100 hectares of farmland in 1946, and the percentages of automobiles per 1,000 population, radios per 100 homes, and cinema seats per 1,000 population. Data are also provided on the percentage of Communists (PCF), Socialists, Radical Socialists, Conservatives, Gaullists, Moderates, Poujadists, Independents, Turnouts, and other political groups and p

Kenya had a Catholic population of roughly 9.7 million people, according to the last country census conducted in 2019. Around one million Catholics lived in the capital Nairobi, the largest amount among all Kenyan counties. Nearly 590,000 people living in Kiambu adhered to Catholicism, while half-million dwelled in Machakos.

This map displays predominant religion by country and predominant religion family by region. Religion family categories shown include Buddhism, Christianity, Hinduism, Islam, Judaism, and Other. Religion categories by country shown include Roman Catholic, Protestant, Sunni Islam, Shia Islam, Orthodox Christianity, Folk Religion, Christianity Other, Hindu, Shi’a Islam, Unaffiliated, Uninhabited, and Other. First- and second-largest religion and percent of the population practicing each are shown for each country.The main source of data comes from the Association of Religion Data Archives - http://www.thearda.com/Archive/Files/Descriptions/WRDNATL.asp.

In 2020, Mexico had a catholic population of 97,864,218 people, by far the most followed religion in the country. Mexico State concentrated more than 13.3 million, close to the double of the second state in the list, Jalisco. The capital Mexico City figured in the third place, with 6.98 million Catholics.

This feature layer was created using Census 2016 data produced by the Central Statistics Office (CSO) and Administrative Counties national boundary data (generalised to 50m) produced by Tailte Éireann. The layer represents Census 2016 theme 2.4, population by religion. Attributes include population breakdown by religion (e.g. catholic, other religion, no religion). Census 2016 theme 2 represents Migration, Ethnicity and Religion. The Census is carried out every five years by the CSO to determine an account of every person in Ireland. The results provide information on a range of themes, such as, population, housing and education. The data were sourced from the CSO. In census reports the country is divided into 29 counties/administrative counties and the five Cities which represent the local authority areas. Outside Dublin there are 26 administrative counties (North Tipperary and South Tipperary each ranks as a separate county for administrative purposes) and four Cities, i.e. Cork, Limerick, Waterford and Galway. In Dublin the four local authority areas are identified separately, i.e. Dublin City and the three administrative counties of Dún Laoghaire-Rathdown, Fingal and South Dublin.