The Ovimbundu are the largest ethnic group in Angola, making up 37 percent of the population as of 2021. The Mbundu constitute 25 percent of the Angolans, while the Bakongo account for a 13 percent share. All the three groups are Bantu ethnies.
This ethnicity dataset (GREG) is a digital version of the paper Soviet Narodov Mira atlas created in 1964. In 2010 the GREG (Geo-referencing of ethnic groups) project, used maps and data drawn from the Narodov Mira atlas to create a GIS (Geographic Information Systems) version of the atlas (2010). ETH ZurichFirst developed by G.P. Murdock in the 1940s, is an ethnographic classification system on human behavior, social life and customs, material culture, and human-ecological environments (2003). University of California
Mekong Development Research Institute (MDRI) would like to present to you the second edition of the book "54 Ethnic Groups: Why the Difference?" The book is the updated version of the previous book published in 2014 based on our knowledge and experience while working with donors, NGOs, and multiple ethnic groups in an effort to provide additional information and insight into all 54 ethnic groups of Vietnam. Data from 4 censuses are used in this book including the 53 Ethnic Minorities Census 2015, Population Census 2009, and Viet Nam Rural, Agriculture and Fishery Census 2011 and 2016 to analyze and calculate key indicators for each minority and majority. In the 2018 edition, 54 Ethnic Groups: Why the Difference? consists of four main sections. The first presents the main findings on demography, education, health, living conditions, gender equality, land, and agriculture and the rankings of the 54 groups by indicator. The second section provides detailed information on location, language and writing, history, beliefs, religion, and social and family organization. Each ethnic group’s household characteristics and the main changes in each aspect of life from 2009 to 2016 are also mentioned in this section. The third section analyses some critical issues which negatively affect ethnic minorities. The fourth and final part of the book provides 54 sets of maps illustrating changes in the population distribution of the 54 groups and poverty rates by district in 2009 and 2015.
Table showing ethnic group statistics by aggregated groupings.
Categories covered:
Figures may not add exactly due to rounding. Numbers rounded to the nearest thousand.
Data is from the Annual Population Survey.
In 2024, as in 2023, approximately 12 percent of Fortune 500 companies' chief marketing officers (CMOs) in the United States belonged to historically underrepresented racial or ethnic groups. In 2022, the share stood at 14 percent. Meanwhile, the percentage of women among Fortune 500 CMOs in the U.S. increased.
Sukuma was the largest ethnic group in Tanzania as of 2021. Around 17.5 percent of the surveyed population identified themselves as from the Bantu ethnic group. Nearly six percent belonged to the Ha group, while 4.1 percent were from the Gogo group. About 1.3 percent of the respondents identified themselves as Tanzanians only or reported that they don't think of themselves in terms of ethnic communities, cultural groups, or tribes. Overall, around 130 ethnic groups are estimated to live in Tanzania.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.
This study was the fourth in a series of national surveys of ethnic minorities. The main objectives were:
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Census 2021 data: 19 tick-box ethnic groups, by age, sex, and age and sex.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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Why does ethnic violence occur in some places but not others? This paper argues that the local ethnic configuration below the national level is an important determinant of how likely conflict is in any particular place. Existing studies of ethnicity and conflict focus on national-level fractionalization or dominance, but much of the politics surrounding ethnic groups’ grievances and disputes takes place at a more local level. We argue that the existence of multiple ethnic groups competing for resources and power at the level of sub-national administrative regions creates a significant constraint on the ability of states to mitigate ethnic groups’ grievances. This in turn increases the likelihood of conflict between ethnic groups and the state. In particular, we argue that diverse administrative regions dominated by one group should be most prone for conflict. Using new data on conflict and ethnic group composition at the region level, we test the theory and find that units with one demographically dominant ethnic group among multiple groups are most prone to conflict.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Experimental statistics for population estimates by ethnic group broken down into age and sex at a national regional level for England and Wales.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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development_and_assistance_for_ethnic_minorities_and_indigenous_people ethnic_minorities_and_indigenous_people roads_and_bridges transport_infrastructure_and_facilities
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Context
The dataset tabulates the Bristol town population by race and ethnicity. The dataset can be utilized to understand the racial distribution of Bristol town.
The dataset will have the following datasets when applicable
Please note that in case when either of Hispanic or Non-Hispanic population doesnt exist, the respective dataset will not be available (as there will not be a population subset applicable for the same)
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Dataset population: Persons
Ethnic group (write-in responses)
Ethnic group classifies people according to their own perceived ethnic group and cultural background.
This topic contains ethnic group write-in responses without reference to the five broad ethnic group categories, e.g. all Irish people, irrespective of whether they are White, Mixed/multiple ethnic groups, Asian/Asian British, Black/African/Caribbean/Black British or Other ethnic group, are in the Irish response category. This topic was created as part of the commissioned table processing.
The statistic reflects the origin of ethnic groups in Canada in 2021. That year, approximately 14.7 percent of the total population in Canada have English roots.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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In 2021, 20.1% of people from the Indian ethnic group were in higher managerial and professional occupations – the highest percentage out of all ethnic groups in this socioeconomic group.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
This dataset represents ethnic group (19 tick-box level) by economic activity status and by occupation, for England and Wales combined. The census data are also broken down by age and by sex for each subtopic.
The ethnic group that the person completing the census feels they belong to. This could be based on their culture, family background, identity, or physical appearance. Respondents could choose one out of 19 tick-box response categories, including write-in response options.
Total counts for some population groups may not match between published tables. This is to protect the confidentiality of individuals' data. Population counts have been rounded to the nearest 5 and any counts below 10 are suppressed, this is signified by a 'c' in the data tables.
This dataset shows population counts for usual residents aged between 16 to 64 years old only. This is to focus on ethnic groups differences among the working age. Population counts in these tables may be different from other publications which use different age breakdowns.
"Asian Welsh" and "Black Welsh" ethnic groups were included on the census questionnaire in Wales only, these categories were new for 2021.
This dataset provides Census 2021 estimates that classify usual residents in England and Wales by ethnic group. The estimates are as at Census Day, 21 March 2021.
For quality information in general, please read more from here.
For specific quality information about labour market, please read more from here
Ocupation counts classifiy people who were in employment between 15 March and 21 March 2021, by the SOC code that represents their current occupation. (Occupation is classified using the Standard Occupation Classification 2020 version). Details of SOC code can be found here.
Ethnic Group (19 tick-box level)
These are the 19 ethnic group used in this dataset:
https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence
Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_421b220891fc5d44592dc4e42cb271eb/view
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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39.8% of workers from the Indian ethnic group were in 'professional' jobs in 2021 – the highest percentage out of all ethnic groups in this role.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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An explainer on ethnic groups in Laos and their languages, traditional regions, and cultures.
The Ovimbundu are the largest ethnic group in Angola, making up 37 percent of the population as of 2021. The Mbundu constitute 25 percent of the Angolans, while the Bakongo account for a 13 percent share. All the three groups are Bantu ethnies.