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
https://datacatalog.worldbank.org/public-licenses?fragment=cchttps://datacatalog.worldbank.org/public-licenses?fragment=cc
Abstract of Paper
We present a model that links heterogeneity of preferences across ethnic groups in a city to the amount and type of public good the city supplies. We test the implications of the model with three related datasets: US cities, US metropolitan areas, and US urban counties.
Results show that productive public goods -- education, roads, libraries, sewers and trash pickup -- in US cities (metro areas/urban counties) are inversely related to the city's (metro area's/county's) ethnic fragmentation, even after controlling for other socioeconomic and demographic determinants. Ethnic fragmentation is negatively related to the share of local spending on welfare. The results are mainly driven by observations in which majority whites are reacting to varying sizes of minority groups. We conclude that ethnic conflict is an important determinant of local public finances.
Datasets
There are three related datasets on US cities, US metropolitan areas, and US urban counties.
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.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Census 2021 data: 19 tick-box ethnic groups, by age, sex, and age and sex.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Olathe by race. It includes the population of Olathe across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Olathe across relevant racial categories.
Key observations
The percent distribution of Olathe population by race (across all racial categories recognized by the U.S. Census Bureau): 78.62% are white, 4.85% are Black or African American, 0.20% are American Indian and Alaska Native, 4.18% are Asian, 0.01% are Native Hawaiian and other Pacific Islander, 2.56% are some other race and 9.59% are multiracial.
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:
Variables / Data Columns
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/.
This dataset is a part of the main dataset for Olathe Population by Race & Ethnicity. You can refer the same here
This database on the measures of ethnic heterogeneity and ethnic conflicts in 176 contemporary countries is connected with Tatu Vanhanen's long-term research project on the causal relationship between ethnic nepotism and the extent of ethnic conflict and violence in the world. The measures are: Ethnic Heterogeneity (EH) that measures to some extent the significance and potential intensity of ethnic nepotism; Scale of Institutionalized Ethnic Interest Conflict (IC) that is used to measure the estimated significance of principally nonviolent ethnic conflicts; and Scale of Ethnic Violence (EV) that is intended to measure the relative significance of violent ethnic confict in a country. The estimated scores are based on incidents during the period 2003-2010, and the database also contains brief references to the nature of conflicts. See background information for detailed information of the measures and used sources.
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.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Experimental statistics for population estimates by ethnic group broken down into age and sex at a national regional level for England and Wales.
This graph shows the population of the U.S. by race and ethnic group from 2000 to 2023. In 2023, there were around 21.39 million people of Asian origin living in the United States. A ranking of the most spoken languages across the world can be accessed here. U.S. populationCurrently, the white population makes up the vast majority of the United States’ population, accounting for some 252.07 million people in 2023. This ethnicity group contributes to the highest share of the population in every region, but is especially noticeable in the Midwestern region. The Black or African American resident population totaled 45.76 million people in the same year. The overall population in the United States is expected to increase annually from 2022, with the 320.92 million people in 2015 expected to rise to 341.69 million people by 2027. Thus, population densities have also increased, totaling 36.3 inhabitants per square kilometer as of 2021. Despite being one of the most populous countries in the world, following China and India, the United States is not even among the top 150 most densely populated countries due to its large land mass. Monaco is the most densely populated country in the world and has a population density of 24,621.5 inhabitants per square kilometer as of 2021. As population numbers in the U.S. continues to grow, the Hispanic population has also seen a similar trend from 35.7 million inhabitants in the country in 2000 to some 62.65 million inhabitants in 2021. This growing population group is a significant source of population growth in the country due to both high immigration and birth rates. The United States is one of the most racially diverse countries in the world.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Non-Hispanic population of West Sacramento by race. It includes the distribution of the Non-Hispanic population of West Sacramento across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of West Sacramento across relevant racial categories.
Key observations
Of the Non-Hispanic population in West Sacramento, the largest racial group is White alone with a population of 22,396 (62.23% of the total Non-Hispanic population).
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:
Variables / Data Columns
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/.
This dataset is a part of the main dataset for West Sacramento Population by Race & Ethnicity. You can refer the same here
In the fiscal year of 2019, 21.39 percent of active-duty enlisted women were of Hispanic origin. The total number of active duty military personnel in 2019 amounted to 1.3 million people.
Ethnicities in the United States The United States is known around the world for the diversity of its population. The Census recognizes six different racial and ethnic categories: White American, Native American and Alaska Native, Asian American, Black or African American, Native Hawaiian and Other Pacific Islander. People of Hispanic or Latino origin are classified as a racially diverse ethnicity.
The largest part of the population, about 61.3 percent, is composed of White Americans. The largest minority in the country are Hispanics with a share of 17.8 percent of the population, followed by Black or African Americans with 13.3 percent. Life in the U.S. and ethnicity However, life in the United States seems to be rather different depending on the race or ethnicity that you belong to. For instance: In 2019, native Hawaiians and other Pacific Islanders had the highest birth rate of 58 per 1,000 women, while the birth rae of white alone, non Hispanic women was 49 children per 1,000 women.
The Black population living in the United States has the highest poverty rate with of all Census races and ethnicities in the United States. About 19.5 percent of the Black population was living with an income lower than the 2020 poverty threshold. The Asian population has the smallest poverty rate in the United States, with about 8.1 percent living in poverty.
The median annual family income in the United States in 2020 earned by Black families was about 57,476 U.S. dollars, while the average family income earned by the Asian population was about 109,448 U.S. dollars. This is more than 25,000 U.S. dollars higher than the U.S. average family income, which was 84,008 U.S. dollars.
In 2023, 17.9 percent of Black people living in the United States were living below the poverty line, compared to 7.7 percent of white people. That year, the total poverty rate in the U.S. across all races and ethnicities was 11.1 percent. Poverty in the United States Single people in the United States making less than 12,880 U.S. dollars a year and families of four making less than 26,500 U.S. dollars a year are considered to be below the poverty line. Women and children are more likely to suffer from poverty, due to women staying home more often than men to take care of children, and women suffering from the gender wage gap. Not only are women and children more likely to be affected, racial minorities are as well due to the discrimination they face. Poverty data Despite being one of the wealthiest nations in the world, the United States had the third highest poverty rate out of all OECD countries in 2019. However, the United States' poverty rate has been fluctuating since 1990, but has been decreasing since 2014. The average median household income in the U.S. has remained somewhat consistent since 1990, but has recently increased since 2014 until a slight decrease in 2020, potentially due to the pandemic. The state that had the highest number of people living below the poverty line in 2020 was California.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Birmingham by race. It includes the population of Birmingham across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Birmingham across relevant racial categories.
Key observations
The percent distribution of Birmingham population by race (across all racial categories recognized by the U.S. Census Bureau): 89.14% are white, 0.21% are Black or African American, 4.18% are some other race and 6.47% are multiracial.
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:
Variables / Data Columns
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/.
This dataset is a part of the main dataset for Birmingham Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Garfield by race. It includes the population of Garfield across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Garfield across relevant racial categories.
Key observations
The percent distribution of Garfield population by race (across all racial categories recognized by the U.S. Census Bureau): 58.50% are white, 6.02% are Black or African American, 0.20% are American Indian and Alaska Native, 3.94% are Asian, 14.58% are some other race and 16.76% are multiracial.
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:
Variables / Data Columns
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/.
This dataset is a part of the main dataset for Garfield Population by Race & Ethnicity. You can refer the same here
In 2023, around 50 children were born per thousand Asian women in the United States. The highest birth rate was among Native Hawaiian and other Pacific Islander mothers, at 79 percent during the same year.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
We use a policy experiment in Indonesia to show how local political boundaries affect ethnic tension. Redrawing district borders along group lines reduces conflict. However, the gains in stability are undone or even reversed when new boundaries increase ethnic polarization. Greater polarization leads to more violence around majoritarian elections but has little effect around lower-stakes, proportional representation elections. These results point to distinct incentives for violence in winner-take-all settings with contestable public resources. Overall, our findings illustrate the promise and pitfalls of redrawing borders in diverse countries where it is infeasible for each group to have its own administrative unit.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Mortality hazard ratios for baseline number of conditions and ethnicity estimated at age 50 (assuming association between number of conditions and mortality is same for all ethnic groups)a.
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Grandview by race. It includes the population of Grandview across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Grandview across relevant racial categories.
Key observations
The percent distribution of Grandview population by race (across all racial categories recognized by the U.S. Census Bureau): 45.29% are white, 0.29% are Black or African American, 0.17% are American Indian and Alaska Native, 0.19% are Asian, 0.55% are Native Hawaiian and other Pacific Islander, 27.27% are some other race and 26.24% are multiracial.
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:
Variables / Data Columns
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/.
This dataset is a part of the main dataset for Grandview Population by Race & Ethnicity. You can refer the same here
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.
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