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

Table showing ethnic group statistics by aggregated groupings. Categories covered: White - includes White British, Irish, Gypsy or Irish Traveller, and Other Black - includes Black African, Caribbean, and Other Asian - includes Indian, Pakistani, Bangladeshi, Chinese and Other Mixed/Other - includes White and Black Caribbean, White and Asian, White and Black African, Other Mixed, Arab and any Other ethnicity not covered above. Figures may not add exactly due to rounding. Numbers rounded to the nearest thousand. Data is from the Annual Population Survey.

The geographic concentration of ethnic groups (clustering) is based on whether concentration was mentioned in the country profiles in Encyclopædia Britannica. The variable distinguishes between no concentration where none was mentioned, a tendency of concentration, and heavy concentration where the country is largely divided along ethnic divisions or ethnic minority groups are concentrated in certain areas.

Little research has been conducted on how internal migration of different ethnic groups, in and out of areas, contributes to population patterns. Research that has explored migration by ethnicity has compared 'white' with 'non-white' people to discuss patterns of segregation, ethnic concentration and majority population 'ghettos' or 'enclaves'. However, it is likely that there will be variations within the minority ethnic group that will offer important insights to these debates. This research will explore patterns of residential migration within different ethnic groups within England and Wales. Specifically, whether there is a tendency for people from different ethnic groups to move into or out of areas where their own ethnic group has a high or low density. These research questions will be explored through secondary analysis of the 2001 census using a specially commissioned table containing information about migration and ethnicity. Inflows and outflows of individual ethnic groups (as defined by the 2001 census) will be separately measured at the ward level (to assess local level migration). Patterns will be mapped using GIS software. This detailed analysis will help to establish if patterns of internal migration for different ethnic groups are related to the densities of their own and other groups.

The census is undertaken by the Office for National Statistics every 10 years and gives us a picture of all the people and households in England and Wales. The most recent census took place in March of 2021.The census asks every household questions about the people who live there and the type of home they live in. In doing so, it helps to build a detailed snapshot of society. Information from the census helps the government and local authorities to plan and fund local services, such as education, doctors' surgeries and roads.Key census statistics for Leicester are published on the open data platform to make information accessible to local services, voluntary and community groups, and residents. There is also a dashboard published showcasing various datasets from the census allowing users to view data for Leicester and compare this with national statistics.Further information about the census and full datasets can be found on the ONS website - https://www.ons.gov.uk/census/aboutcensus/censusproductsEthnicityThis 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.Definition: 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.This dataset includes data relating to Leicester City and England overall.

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.

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.

Census 2021 data: 19 tick-box ethnic groups, by age, sex, and age and sex.

Information about the ethnic affiliation(s) and characteristics of a human population. Includes, for example, information about: the ethnic groups located within a geographic region, their community social structures, their mutual associations and conflicts with other groups, their historic roles and influence, and the physical distribution of their members. Ethnic groups are human populations whose members identify with each other, usually on the basis of having a common cultural traditions and heritage (for example: as distinguished by customs, language, religious practices, or common history) or a presumed common genealogy or ancestry.

The GDL Ethnic Group Database presents socio-economic, health, gender and demographic development indicators at the level of 367 ethnic groups within 71 low and middle income countries. The indicators are created by aggregating data from household surveys to the ethnic group level. Date: 2019-11-15

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.

This dataset provides Census 2022 estimates for the Multiple ethnic groups in household in Scotland.

Multiple ethnic groups in household

'Multiple ethnic groups' classifies households by the diversity in ethnic group of household members in different relationships - for example, different ethnic groups between generations or within partnerships. The ethnic group of each household member is coded according to the hierarchy document containing 19 categories for ethnic groups and then compared to obtain the classification below.

Details of classification can be found here

The quality assurance report can be found here

To assess differences in psychological outcomes as well as risk and protective factors for these outcomes among several USA ethnic groups and identify correlates of these psychological outcomes among adults with diabetes in the second Diabetes Attitudes, Wishes and Needs (DAWN2) study. The core USA DAWN2 sample was supplemented by independent samples of specific ethnic minority groups, yielding a total of 447 White non-Hispanics, 241 African Americans, 194 Hispanics, and 173 Chinese Americans (n = 1055). Multivariate analysis examined ethnic differences in psychological outcomes and risk/protective factors (disease, demographic and socioeconomic factors, health status and healthcare access/utilization, subjective burden of diabetes and social support/burden). Separate analyses were performed on each group to determine whether risk/protective factors differed across ethnic groups. Psychological outcomes include well-being, quality of life, impact of diabetes on life domains, diabetes distress, and diabetes empowerment. NCT01507116. Ethnic minorities tended to have better psychological outcomes than White non-Hispanics, although their diabetes distress was higher. Levels of most risk and protective factors differed significantly across ethnic groups; adjustment for these factors reduced ethnic group differences in psychological outcomes. Health status and modifiable diabetes-specific risk/protective factors (healthcare access/utilization, subjective diabetes burden, social support/burden) had strong associations with psychological outcomes, especially diabetes distress and empowerment. Numerous interactions between ethnicity and other correlates of psychological outcomes suggest that ethnic groups are differentially sensitive to various risk/protective factors. Potential limitations are the sample sizes and representativeness. Ethnic groups differ in their psychological outcomes. The risk/protective factors for psychological outcomes differ across ethnic groups and different ethnic groups are more/less sensitive to their influence. These findings can aid the development of strategies to overcome the most prominent and influential psychosocial barriers to optimal diabetes care within each ethnic group.

Community Specific Profiles are grouped by race and ethnicity. We measure by race, ethnicity, and other demographics to understand the specific needs of different communities and evaluate effective service delivery and accountability. This dataset is the groupings used to combine projects with multiple levels and types of data standards. These include the minimum and comprehensive race and ethnicity categories from the City of Portland Rescue Plan Data Standards. They also include race and ethnicity categories in the HUD HMIS data standards.-- Additional Information: Category: ARPA Update Frequency: As Necessary-- Metadata Link: https://www.portlandmaps.com/metadata/index.cfm?&action=DisplayLayer&LayerID=60968

Afghanistan has held a strategic position throughout history. It has been inhabited since the Paleolithic and later became a crossroad for expanding civilizations and empires. Afghanistan's location, history, and diverse ethnic groups present a unique opportunity to explore how nations and ethnic groups emerged, and how major cultural evolutions and technological developments in human history have influenced modern population structures. In this study we have analyzed, for the first time, the four major ethnic groups in present-day Afghanistan: Hazara, Pashtun, Tajik, and Uzbek, using 52 binary markers and 19 short tandem repeats on the non-recombinant segment of the Y-chromosome. A total of 204 Afghan samples were investigated along with more than 8,500 samples from surrounding populations important to Afghanistan's history through migrations and conquests, including Iranians, Greeks, Indians, Middle Easterners, East Europeans, and East Asians. Our results suggest that all current Afghans largely share a heritage derived from a common unstructured ancestral population that could have emerged during the Neolithic revolution and the formation of the first farming communities. Our results also indicate that inter-Afghan differentiation started during the Bronze Age, probably driven by the formation of the first civilizations in the region. Later migrations and invasions into the region have been assimilated differentially among the ethnic groups, increasing inter-population genetic differences, and giving the Afghans a unique genetic diversity in Central Asia.

The data contain three measures of the political representation of ethnic groups in national legilsatures. Sources and raw data on the ethnic composition of the population and the national legislature are also included. The data cover national legislatures (single and lower chambers) in 115 (of 131) free and partly free countries in 2006. These data were collected as part of a cross-national study of political representation in national legislatures. Data for 46 unfree countries are also included, but not checked to the same extent. Data were obtained from a variety of sources, including contacts in national legislatures. Because of multiple sources, data were triangulated, and “best estimates” are included.

The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article I, Section 2 of the Constitution and all households in the U.S. and individuals living in group quarters were required by law to respond to the 2010 Census questionnaire. The data collected by the decennial census determine the number of seats each state has in the U.S. House of Representatives and is also used to distribute billions in federal funds to local communities. The questionnaire consisted of a limited number of questions but allowed for the collection of information on the number of people in the household and their relationship to the householder, an individual's age, sex, race and Hispanic ethnicity, the number of housing units and whether those units are owner- or renter-occupied, or vacant. The first wave of results for sub-state geographic areas in New Mexico was released on March 15, 2011, through the Redistricting Data (PL94-171) Summary File. This batch of data covers the state, counties, places (both incorporated and unincorporated communities), tribal lands, school districts, neighborhoods (census tracts and block groups), individual census blocks, and other areas. The Redistricting products provide counts by race and Hispanic ethnicity for the total population and the population 18 years and over, and housing unit counts by occupancy status. The 2010 Census Redistricting Data Summary File can be used to redraw federal, state and local legislative districts under Public Law 94-171. This is an important purpose of the file and, indeed, state officials use the Redistricting Data to realign congressional and state legislative districts in their states, taking into account population shifts since the 2000 Census. More detailed population and housing characteristics will be released in the summer of 2011. The data in these particular RGIS Clearinghouse tables are for all Block Groups in Torrance County. There are two data tables. One provides total counts by major race groups and by Hispanic ethnicity, while the other provides proportions of the total population for these same groups. These files, along with file-specific descriptions (in Word and text formats) are available in a single zip file.

This method returns Census 2021 estimates that classify households by the diversity in ethnic group of household members in different relationships.

This dataset classifies households by whether members identify as having the same or different ethnic groups. If multiple ethnic groups are present, this identifies whether they differ between generations or partnerships within the household.

Multiple ethnic groups in household are split into 6 categories including total.

The estimates are as at Census Day, 21 March 2021.

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.

According to a survey from January to March 2023, most people in Czechia were fond of their own ethnic group, along with Slovaks. Eighty percent of them found Czechs sympathetic, and 79 had the same opinion about Slovaks. On the other hand, the most unsympathetic ethnic groups to Czechs were Russians, Arabs, and the Roma.