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.
In 2023, about 1.78 million people in Maryland were Black or African American. Furthermore, about 2.86 million white people and 781,336 Hispanic or Latino people were living in Maryland in that year.
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The dataset tabulates the Non-Hispanic population of Boston by race. It includes the distribution of the Non-Hispanic population of Boston across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Boston across relevant racial categories.
Key observations
Of the Non-Hispanic population in Boston, the largest racial group is White alone with a population of 295,342 (54.88% 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 Boston Population by Race & Ethnicity. You can refer the same here
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.
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This list ranks the 50 states in the United States by Some Other Race (SOR) population, as estimated by the United States Census Bureau. It also highlights population changes in each states over the past five years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:
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/.
As of 2021, Akan was the largest ethnic group in Ghana, accounting for 45.7 percent of the country's population. Simultaneously, Akan, as a language, was the most widely spoken in Ghana. Mole-Dagbani and Ewe covered 18.5 percent and 12.8 percent of the groups of ethnicity, respectively. Other ethnic groups include Ga-Dangme, Gurma, Guan, and Grusi.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The dataset tabulates the population of Ohio County by race. It includes the population of Ohio County across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Ohio County across relevant racial categories.
Key observations
The percent distribution of Ohio County population by race (across all racial categories recognized by the U.S. Census Bureau): 90.70% are white, 3.24% are Black or African American, 0.10% are American Indian and Alaska Native, 0.43% are Asian, 0.44% are some other race and 5.09% 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 Ohio County Population by Race & Ethnicity. You can refer the same here
Prior to the civil war in the 1990’s ethnic tension caused many rivalries between groups. This was common between the Temne, with their allies the Limba, and the Mende, with their allies the Sherbro, Kissi, and Gola groups. Even with this history of ethnic conflict it does not appear to be a significant factor that contributed to the civil war as the war focused on control of diamond mines. With the civil war over for more than a decade the country is relatively peaceful. There are no serious ethnic conflicts or rivalries. Limba – Limba populations are found in other West African countries although 90% reside in Sierra Leone. The majority are Muslim, having been introduced to Islam in the late nineteenth century. This is much later than their neighbors. To prevent too much Westernization, the Limba often send their children to Islamic schools. Mande – The Mande are a large ethnic group in West Africa that is comprised of many smaller groups. The Mande people speak a variety of Mande languages. Most practice agriculture, animal husbandry, and trade. They practice a patrilineal society having the eldest male serve as lineage head. With so many Mande groups spread over West Africa there is much variation among language and culture. Mel – The Mel within Sierra Leone are comprised of the Gola and the Kissi. Similar to other West Africa groups, the Gola participate in secret societies. The most important occurs around the age of puberty and these societies seek to socialize youth with Gola culture. The Kissi are increasingly becoming culturally influenced by the Mende people. Soso - The Soso were introduced to Islam in the seventeenth century and they are now overwhelmingly Sunni Muslim, of the Maliki School. Many still perform ritual ceremonies from indigenous religions. They are often influenced by neighboring groups. Temne – The Temne are one of the largest ethnic groups in the country. While the capital of Freetown is home to many groups, the largest number of people belong to the Temne ethnicity. The majority are Muslim, having been introduced to Islam in the seventeenth century. Some Temne still practice indigenous religions or incorporate them into their practice of Islam. Similar to other groups in the country, the Temne also have secret socieites. The Temne use these socieites to learn about the Temne culture. Although many have convertered to Islam or Christianity, it is common to incorporate indigenous religious beliefs. Attribute Table Field DescriptionsISO3-International Organization for Standardization 3-digit country codeADM0_NAME-Administration level zero identification / namePEOPLEGP_1-People Group level 1PEOPLEGP_2-People Group level 2PEOPLEGP_3-People Group level 3PEOPLEGP_4-People Group level 4PEOPLEGP_5-People Group level 5ALT_NAMES-Alternative names or spellings for a people groupCOMMENTS-Comments or notes regarding the people groupSOURCE_DT-Source one creation dateSOURCE-Source oneSOURCE2_DT-Source two creation dateSOURCE2-Source twoCollectionThis feature class was constructed by referencing and combining information from Murdock’s Map of Africa (1959) with other anthropological literature pertaining to Sierra Leone ethnicity. The information was then processed through DigitalGlobe’s AnthropMapper program to generate more accurate ethnic coverage boundaries. Anthromapper uses geographical terrain features, combined with a watershed model, to predict the likely extent of ethnic and linguistic influence.Metadata and data pertaining to the feature class was collected from the review of Murdock’s Map of Africa (1959) in conjunction with information from anthropological research pertaining to ethnicity in northern Africa. While efforts were made to secure the accuracy of the geographic location of existing ethnicities, many are transient in nature and continue to migrate. Further, it should be stressed that ethnic groups listed represent the prominent people groups in Sierra Leone; however, numerous subgroups may exist below this tier. The data included herein have not been derived from a registered survey and should be considered approximate unless otherwise defined. While rigorous steps have been taken to ensure the quality of each dataset, DigitalGlobe is not responsible for the accuracy and completeness of data compiled from outside sources.Sources (HGIS)Anthromapper. DigitalGlobe, September 2014.Gonen, Amiram. The Encyclopedia of the Peoples of the World. New York: Henry Holt and Company, 1993.Levinson, David. Encyclopedia of World Cultures: Africa and the Middle East. Boston: G.K. Hall and Co., 1995.Murdock, George Peter. Tribal Map of Africa from Africa: Its Peoples and Their Culture History. New York: McGraw-Hill Book Co., January 1959.Olson, James S. The Peoples of Africa: An Ethnohistorical Dictionary. Westport: Greenworod Press, 1996.The Diagram Group. Encyclopedia African Peoples. London: Diagram Visual Information, 2000.Yakan, Mohamad Z. Almanac of African Peoples and Nations. New Brunswick: Transaction Publishers, 1999.Sources (Metadata)Gonen, Amiram. The Encyclopedia of the Peoples of the World. New York: Henry Holt and Company, 1993.Levinson, David. Encyclopedia of World Cultures: Africa and the Middle East. Boston: G.K. Hall and Co., 1995.Murdock, George Peter. Tribal Map of Africa from Africa: Its Peoples and Their Culture History. New York: McGraw-Hill Book Co., January 1959.Notholt, Stuart A. Fields of Fire: An atlas of ethnic conflict. London: Stuart Notholt Communications Ltd, 2008.Olson, James S. The Peoples of Africa: An Ethnohistorical Dictionary. Westport: Greenworod Press, 1996.The Diagram Group. Encyclopedia African Peoples. London: Diagram Visual Information, 2000.University of Iowa Museum of Art, “Sierra Leone; Gola or Vai peoples, Lansana Ngumoi”. January 2006. Accessed December 2014. http://uima.uiowa.edu.Yakan, Mohamad Z. Almanac of African Peoples and Nations. New Brunswick: Transaction Publishers, 1999.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The dataset tabulates the population of Greenfield by race. It includes the population of Greenfield across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Greenfield across relevant racial categories.
Key observations
The percent distribution of Greenfield population by race (across all racial categories recognized by the U.S. Census Bureau): 14.92% are white, 1.06% are Black or African American, 0.69% are American Indian and Alaska Native, 1.08% are Asian, 69.50% are some other race and 12.75% 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 Greenfield Population by Race & Ethnicity. You can refer the same here
Section 95 of the Criminal Justice Act 1991 requires the Government to publish statistical data to assess whether any discrimination exists in how the CJS treats individuals based on their ethnicity.
These statistics are used by policy makers, the agencies who comprise the CJS and others (e.g. academics, interested bodies) to monitor differences between ethnic groups, and to highlight areas where practitioners and others may wish to undertake more in-depth analysis. The identification of differences should not be equated with discrimination as there are many reasons why apparent disparities may exist. The main findings are:
The 2012/13 Crime Survey for England and Wales shows that adults from self-identified Mixed, Black and Asian ethnic groups were more at risk of being a victim of personal crime than adults from the White ethnic group. This has been consistent since 2008/09 for adults from a Mixed or Black ethnic group; and since 2010/11 for adults from an Asian ethnic group. Adults from a Mixed ethnic group had the highest risk of being a victim of personal crime in each year between 2008/09 and 2012/13.
Homicide is a rare event, therefore, homicide victims data are presented aggregated in three-year periods in order to be able to analyse the data by ethnic appearance. The most recent period for which data are available is 2009/10 to 2011/12.
The overall number of homicides has decreased over the past three three-year periods. The number of homicide victims of White and Other ethnic appearance decreased during each of these three-year periods. However the number of victims of Black ethnic appearance increased in 2006/07 to 2008/09 before falling again in 2009/10 to 2011/12.
For those homicides where there is a known suspect, the majority of victims were of the same ethnic group as the principal suspect. However, the relationship between victim and principal suspect varied across ethnic groups. In the three-year period from 2009/10 to 2011/12, for victims of White ethnic appearance the largest proportion of principal suspects were from the victim’s own family; for victims of Black ethnic appearance, the largest proportion of principal suspects were a friend or acquaintance of the victim; while for victims of Asian ethnic appearance, the largest proportion of principal suspects were strangers.
Homicide by sharp instrument was the most common method of killing for victims of White, Black and Asian ethnic appearance in the three most recent three-year periods. However, for homicide victims of White ethnic appearance hitting and kicking represented the second most common method of killing compared with shooting for victims of Black ethnic appearance, and other methods of killing for victims of Asian ethnic appearance.
In 2011/12, a person aged ten or older (the age of criminal responsibility), who self-identified as belonging to the Black ethnic group was six times more likely than a White person to be stopped and searched under section 1 (s1) of the Police and Criminal Evidence Act 1984 and other legislation in England and Wales; persons from the Asian or Mixed ethnic group were just over two times more likely to be stopped and searched than a White person.
Despite an increase across all ethnic groups in the number of stops and searches conducted under s1 powers between 2007/08 and 2011/12, the number of resultant arrests decreased across most ethnic groups. Just under one in ten stop and searches in 2011/12 under s1 powers resulted in an arrest in the White and Black self-identified ethnic groups, compared with 12% in 2007/08. The proportion of resultant arrests has been consistently lower for the Asian self-identified ethnic group.
In 2011/12, for those aged 10 or older, a Black person was nearly three times more likely to be arrested per 1,000 population than a White person, while a person from the Mixed ethnic group was twice as likely. There was no difference in the rate of arrests between Asian and White persons.
The number of arrests decreased in each year between 2008/09 and 2011/12, consistent with a downward trend in police recorded crime since 2004/05. Overall, the number of arrests decreased for all ethnic groups between 2008/09 and 2011/12, however arrests of suspects from the Black, Asian and Mixed ethnic groups peaked in 2010/11.
Arrests for drug offences and sexual offences increased for suspects in all ethnic groups except the Chinese or Other ethnic group between 2008/09 and 2011/12. In addition, there were increases in arrests for burglary, robbery and the other offences category for suspects from the Black and Asian ethnic groups.
The use of out of court disposals (Penalty Notices for Disorder and caution
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The dataset tabulates the Non-Hispanic population of Worthington by race. It includes the distribution of the Non-Hispanic population of Worthington across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Worthington across relevant racial categories.
Key observations
Of the Non-Hispanic population in Worthington, the largest racial group is White alone with a population of 5,074 (65.08% 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 Worthington Population by Race & Ethnicity. You can refer the same here
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Ethnic group (19 tick-box level) by highest level qualification, for England and Wales combined. The data are also broken down by age and by sex.
From 2012 to 2023, the population living in the Rio de Janeiro metropolitan area increased each year, reaching approximately 13 million people in 2023. In that year, people identifying as white represented the largest ethnic group with approximately 5.8 million individuals, which differs from the national data where Pardo Brazilians were the biggest.
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The dataset tabulates the Non-Hispanic population of Jeff Davis County by race. It includes the distribution of the Non-Hispanic population of Jeff Davis County across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Jeff Davis County across relevant racial categories.
Key observations
Of the Non-Hispanic population in Jeff Davis County, the largest racial group is White alone with a population of 10,208 (79.72% 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 Jeff Davis County Population by Race & Ethnicity. You can refer the same here
The data are part of Professor Tatu Vanhanen's long-term research on ethnic nepotism and ethnic conflicts. The data contain 176 states and two measures: the estimated scale of ethnic conflicts (EEC) is used to measure the relative extent and significance of ethnic conflicts in a country during the period 2003-2011 and the measure of ethnic heterogeneity (EH) is used to measure the relative significance of ethnic nepotism in a country. The data also contain information on the largest ethnic group in a country and the proportion of the population belonging to the largest ethnic group. The information have been collected from various literary sources. The sources and detailed descriptions of the variables are listed in the background information document.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Students from the Chinese ethnic group had the highest entry rate into higher education in every year from 2006 to 2024.
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_c4854288d88abfb55faf5e7d5bd415b9/view
In 2023, the number of Hispanic and Latino residents in California had surpassed the number of White residents, with about ***** million Hispanics compared to ***** million White residents. California’s residents California has always held a special place in the American imagination as a place where people can start a new life and increase their personal fortunes. Perhaps due partly to this, California is the most populous state in the United States, with over ** million residents, which is a significant increase from the number of residents in 1960. California is also the U.S. state with the largest population of foreign born residents. The Californian economy The Californian economy is particularly strong and continually contributes a significant amount to the gross domestic product (GDP) of the United States. Its per-capita GDP is also high, which indicates a high standard of living for its residents. Additionally, the median household income in California has more than doubled from 1990 levels.
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This list ranks the 36 counties in the Oregon by Hispanic Some Other Race (SOR) population, as estimated by the United States Census Bureau. It also highlights population changes in each counties over the past five years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:
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/.
Kikuyu was the largest ethnic group in Kenya, accounting for ** percent of the country's population in 2019. Native to Central Kenya, the Kikuyu constitute a Bantu group with more than eight million people. The groups Luhya and Kalenjin followed, with respective shares of **** percent and **** percent of the population. Overall, Kenya has more than 40 ethnic groups.
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.