The United States had a population of 76.3 million people in 1900. Approximately 67 million of these were white, of whom the majority were native born, while most of the remaining nine million people were Black. At this time, the United States Census included persons of Hispanic origin along with its white population, however the Hispanic share of the population in 1900 was much lower than it is today.

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

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.

In 2020, roughly 7.4 million inhabitants aged three or older spoke an indigenous language in Mexico. In the case of Afro-descendants or Afro-Mexicans, a total of 2.6 million people defined themselves as such.

Indigenous families in Mexico Mexico is one of the countries with the largest share of indigenous language speakers in Latin America. The number of indigenous households stood at 2.9 million in 2020. This figure includes all family units where at least one member or their ancestors declared speaking an indigenous language. Native ethnicities in Mexico generally endure higher and more severe poverty levels. Indigenous people are also in a more vulnerable socio-economic situation. For instance, more than 30 percent of the indigenous population in Mexico lagged in education, almost double the share of non-indigenous population.

Mexico's Afro-descendants Thanks to its millennia-long indigenous ancestry, Mexico is a multiethnic country that amasses one of the richest cultural heritages in the world. During colonial times, millions of slaves from the African continent were brought to Mexican territory. Their contribution to today's Mexican identity is sometimes overlooked. In 2020, around one million households in the country had at least one member who self-perceived as an Afro-descendant, or had ancestors with this ethnicity. Guerrero and Oaxaca are nowadays the states with the largest share of Afro-Mexicans.

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

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.

Knowing the racial and ethnic composition of a community is often one of the first steps in understanding, serving, and advocating for various groups. This information can help enforce laws, policies, and regulations against discrimination based on race and ethnicity. These statistics can also help tailor services to accommodate cultural differences.This multi-scale map shows the most common race/ethnicity living within an area. Map opens at tract-level in Los Angeles, CA but has national coverage. Zoom out to see counties and states.This map uses these hosted feature layers containing the most recent American Community Survey data. These layers are part of the ArcGIS Living Atlas, and are updated every year when the American Community Survey releases new estimates, so values in the map always reflect the newest data available. The data on race were derived from answers to the question on race that was asked of individuals in the United States. The Census Bureau collects racial data in accordance with guidelines provided by the U.S. Office of Management and Budget (OMB), and these data are based on self-identification. The racial categories included in the census questionnaire generally reflect a social definition of race recognized in this country and not an attempt to define race biologically, anthropologically, or genetically. The categories represent a social-political construct designed for collecting data on the race and ethnicity of broad population groups in this country, and are not anthropologically or scientifically based. Learn more here.

In 2023, according to the most recent national data, approximately 46 percent of people living in Brazil identified as Pardo Brazilian, making it the largest ethnic group in the country. In 2012, whites were the largest group, accounting for 46 percent of the population.

This table provides statistical information about people in Canada by their demographic, social and economic characteristics as well as provide information about the housing units in which they live.

The dataset provides information about the COVID-19 cases by racial/ethnic groups among Santa Clara County residents summarized by week. Source: California Reportable Disease Information Exchange.

This dataset is updated every Thursday.

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 Quay 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.

About this dataset

Context

The dataset tabulates the population of Avon by race. It includes the population of Avon across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Avon across relevant racial categories.

Key observations

The percent distribution of Avon population by race (across all racial categories recognized by the U.S. Census Bureau): 98.21% are white, 0.60% are Black or African American and 1.19% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Avon
• Population: The population of the racial category (excluding ethnicity) in the Avon is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Avon total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Avon Population by Race & Ethnicity. You can refer the same here

This dataset includes live births, birth rates, and fertility rates by race of mother in the United States since 1960. Data availability varies by race and ethnicity groups. All birth data by race before 1980 are based on race of the child. Since 1980, birth data by race are based on race of the mother. For race, data are available for Black and White births since 1960, and for American Indians/Alaska Native and Asian/Pacific Islander births since 1980. Data on Hispanic origin are available since 1989. Teen birth rates for specific racial and ethnic categories are also available since 1989. From 2003 through 2015, the birth data by race were based on the “bridged” race categories (5). Starting in 2016, the race categories for reporting birth data changed; the new race and Hispanic origin categories are: Non-Hispanic, Single Race White; Non-Hispanic, Single Race Black; Non-Hispanic, Single Race American Indian/Alaska Native; Non-Hispanic, Single Race Asian; and, Non-Hispanic, Single Race Native Hawaiian/Pacific Islander (5,6). Birth data by the prior, “bridged” race (and Hispanic origin) categories are included through 2018 for comparison. SOURCES NCHS, National Vital Statistics System, birth data (see https://www.cdc.gov/nchs/births.htm); public-use data files (see https://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm); and CDC WONDER (see http://wonder.cdc.gov/). REFERENCES National Office of Vital Statistics. Vital Statistics of the United States, 1950, Volume I. 1954. Available from: https://www.cdc.gov/nchs/data/vsus/vsus_1950_1.pdf. Hetzel AM. U.S. vital statistics system: major activities and developments, 1950-95. National Center for Health Statistics. 1997. Available from: https://www.cdc.gov/nchs/data/misc/usvss.pdf. National Center for Health Statistics. Vital Statistics of the United States, 1967, Volume I–Natality. 1969. Available from: https://www.cdc.gov/nchs/data/vsus/nat67_1.pdf. Martin JA, Hamilton BE, Osterman MJK, et al. Births: Final data for 2015. National vital statistics reports; vol 66 no 1. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_01.pdf. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Drake P. Births: Final data for 2016. National Vital Statistics Reports; vol 67 no 1. Hyattsville, MD: National Center for Health Statistics. 2018. Available from: https://www.cdc.gov/nvsr/nvsr67/nvsr67_01.pdf. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Births: Final data for 2018. National vital statistics reports; vol 68 no 13. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_13.pdf.

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.

This graph shows the distribution of the 2013 Professional Golfers' Association regular season television audience in the United States, by ethnicity. The share of Hispanic television viewers for the 2013 PGA regular season was three percent.

There are 3 datasets within this publication showing key aspects of Ethnic Minority Populations in Lincolnshire: Ethnic Groups, Proficiency in English, and Religion. The datasets show 2011 Census estimates of the total resident population with breakouts for those population categories.

These three Census 2011 datasets are sourced from the Office for National Statistics (ONS) Nomis website - see the Source link below. Different geographies and more detailed breakouts of these and other useful datasets, are also available at the Source link.

This dataset is updated every 10 years with the next update due from the Census 2021.

This layer summarizes racial and ethnic diversity in the United States. The Diversity Index shows the likelihood that two persons chosen at random from the same area, belong to different race or ethnic groups. The index ranges from 0 (no diversity) to 100 (complete diversity).The data shown is from Esri's 2020 Updated Demographic estimates using Census 2010 geographies. The map adds increasing level of detail as you zoom in, from state, to county, to ZIP Code, to tract, to block group data. Esri's U.S. Updated Demographic (2020/2025) Data: Population, age, income, sex, race, home value, and marital status are among the variables included in the database. Each year, Esri's Data Development team employs its proven methodologies to update more than 2,000 demographic variables for a variety of U.S. geographies.Additional Esri Resources:Esri DemographicsU.S. 2020/2025 Esri Updated DemographicsEssential demographic vocabularyPermitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

Data on population coverage and ethnic breakdowns, comparing different versions of the feasibility research on producing statistics on the population by ethnic group for England from administrative data.

We investigate the empirical relationship between ethnicity and culture, defined as a vector of traits reflecting norms, values, and attitudes. Using survey data for 76 countries, we find that ethnic identity is a significant predictor of cultural values, yet that within-group variation in culture trumps between-group variation. Thus, in contrast to a commonly held view, ethnic and cultural diversity are unrelated. Although only a small portion of a country's overall cultural heterogeneity occurs between groups, we find that various political economy outcomes (such as civil conflict and public goods provision) worsen when there is greater overlap between ethnicity and culture.