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License information was derived automatically
Context
The dataset tabulates the population of Ethel by race. It includes the population of Ethel across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Ethel across relevant racial categories.
Key observations
The percent distribution of Ethel population by race (across all racial categories recognized by the U.S. Census Bureau): 74.40% are white, 25% are Black or African American and 0.60% are multiracial.
https://i.neilsberg.com/ch/ethel-ms-population-by-race.jpeg" alt="Ethel population by race">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Ethel Population by Race & Ethnicity. You can refer the same here
This map shows the percentage of people who identify as something other than non-Hispanic white throughout the US according to the most current American Community Survey. The pattern is shown by states, counties, and Census tracts. Zoom or search for anywhere in the US to see a local pattern. Click on an area to learn more. Filter to your area and save a new version of the map to use for your own mapping purposes.The Arcade expression used was: 100 - B03002_calc_pctNHWhiteE, which is simply 100 minus the percent of population who identifies as non-Hispanic white. The data is from the U.S. Census Bureau's American Community Survey (ACS). The figures in this map update automatically annually when the newest estimates are released by ACS. For more detailed metadata, visit the ArcGIS Living Atlas Layer: ACS Race and Hispanic Origin Variables - Boundaries.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.Other maps of interest:American Indian or Alaska Native Population in the US (Current ACS)Asian Population in the US (Current ACS)Black or African American Population in the US (Current ACS)Hawaiian or Other Pacific Islander Population in the US (Current ACS)Hispanic or Latino Population in the US (Current ACS) (some people prefer Latinx)Population who are Some Other Race in the US (Current ACS)Population who are Two or More Races in the US (Current ACS) (some people prefer mixed race or multiracial)White Population in the US (Current ACS)Race in the US by Dot DensityWhat is the most common race/ethnicity?
Measure reports the percent of the State of Iowa's population that is classified as black or African American alone based data collected over a 60 month period. Data is from the American Community Survey, Five Year Estimates, Table B02001.
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 Anderson by race. It includes the population of Anderson across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Anderson across relevant racial categories.
Key observations
The percent distribution of Anderson population by race (across all racial categories recognized by the U.S. Census Bureau): 76.13% are white, 11.97% are Black or African American, 0.50% are American Indian and Alaska Native, 0.50% are Asian, 0.01% are Native Hawaiian and other Pacific Islander, 2.59% are some other race and 8.29% 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 Anderson 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 Mississippi by race. It includes the population of Mississippi across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Mississippi across relevant racial categories.
Key observations
The percent distribution of Mississippi population by race (across all racial categories recognized by the U.S. Census Bureau): 56.31% are white, 36.96% are Black or African American, 0.45% are American Indian and Alaska Native, 0.98% are Asian, 0.05% are Native Hawaiian and other Pacific Islander, 1.66% are some other race and 3.60% 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 Mississippi Population by Race & Ethnicity. You can refer the same here
In 2023, **** percent of Black people living in the United States were living below the poverty line, compared to *** percent of white people. That year, the total poverty rate in the U.S. across all races and ethnicities was **** percent. Poverty in the United States Single people in the United States making less than ****** U.S. dollars a year and families of four making less than ****** 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.
The statistic shows the share of U.S. population, by race and Hispanic origin, in 2016 and a projection for 2060. As of 2016, about 17.79 percent of the U.S. population was of Hispanic origin. Race and ethnicity in the U.S. For decades, America was a melting pot of the racial and ethnical diversity of its population. The number of people of different ethnic groups in the United States has been growing steadily over the last decade, as has the population in total. For example, 35.81 million Black or African Americans were counted in the U.S. in 2000, while 43.5 million Black or African Americans were counted in 2017.
The median annual family income in the United States in 2017 earned by Black families was about 50,870 U.S. dollars, while the average family income earned by the Asian population was about 92,784 U.S. dollars. This is more than 15,000 U.S. dollars higher than the U.S. average family income, which was 75,938 U.S. dollars.
The unemployment rate varies by ethnicity as well. In 2018, about 6.5 percent of the Black or African American population in the United States were unemployed. In contrast to that, only three percent of the population with Asian origin was unemployed.
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 Alabama by race. It includes the population of Alabama across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Alabama across relevant racial categories.
Key observations
The percent distribution of Alabama population by race (across all racial categories recognized by the U.S. Census Bureau): 65.36% are white, 26.09% are Black or African American, 0.44% are American Indian and Alaska Native, 1.42% are Asian, 0.05% are Native Hawaiian and other Pacific Islander, 2.12% are some other race and 4.51% 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 Alabama Population by Race & Ethnicity. You can refer the same here
In 2023, the FBI reported that there were 9,284 Black murder victims in the United States and 7,289 white murder victims. In comparison, there were 554 murder victims of unknown race and 586 victims of another race. Victims of inequality? In recent years, the role of racial inequality in violent crimes such as robberies, assaults, and homicides has gained public attention. In particular, the issue of police brutality has led to increasing attention following the murder of George Floyd, an African American who was killed by a Minneapolis police officer. Studies show that the rate of fatal police shootings for Black Americans was more than double the rate reported of other races. Crime reporting National crime data in the United States is based off the Federal Bureau of Investigation’s new crime reporting system, which requires law enforcement agencies to self-report their data in detail. Due to the recent implementation of this system, less crime data has been reported, with some states such as Delaware and Pennsylvania declining to report any data to the FBI at all in the last few years, suggesting that the Bureau's data may not fully reflect accurate information on crime in the United States.
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 Utah by race. It includes the population of Utah across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Utah across relevant racial categories.
Key observations
The percent distribution of Utah population by race (across all racial categories recognized by the U.S. Census Bureau): 82.38% are white, 1.15% are Black or African American, 1% are American Indian and Alaska Native, 2.37% are Asian, 0.94% are Native Hawaiian and other Pacific Islander, 5.32% are some other race and 6.84% are multiracial.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Utah Population by Race & Ethnicity. You can refer the same here
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Graph and download economic data for Unemployment Level - 20 Yrs. & over, Black or African American Men (LNS13000031) from Jan 1972 to Aug 2025 about 20 years +, African-American, males, household survey, unemployment, and USA.
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Diversity in Tech Statistics: In today's tech-driven world, discussions about diversity in the technology sector have gained significant traction. Recent statistics shed light on the disparities and opportunities within this industry. According to data from various sources, including reports from leading tech companies and diversity advocacy groups, the lack of diversity remains a prominent issue. For example, studies reveal that only 25% of computing jobs in the United States are held by women, while Black and Hispanic individuals make up just 9% of the tech workforce combined. Additionally, research indicates that LGBTQ+ individuals are underrepresented in tech, with only 2.3% of tech workers identifying as LGBTQ+. Despite these challenges, there are promising signs of progress. Companies are increasingly recognizing the importance of diversity and inclusion initiatives, with some allocating significant resources to address these issues. For instance, tech giants like Google and Microsoft have committed millions of USD to diversity programs aimed at recruiting and retaining underrepresented talent. As discussions surrounding diversity in tech continue to evolve, understanding the statistical landscape is crucial in fostering meaningful change and creating a more inclusive industry for all. Editor’s Choice In 2021, 7.9% of the US labor force was employed in technology. Women hold only 26.7% of tech employment, while men hold 73.3% of these positions. White Americans hold 62.5% of the positions in the US tech sector. Asian Americans account for 20% of jobs, Latinx Americans 8%, and Black Americans 7%. 83.3% of tech executives in the US are white. Black Americans comprised 14% of the population in 2019 but held only 7% of tech employment. For the same position, at the same business, and with the same experience, women in tech are typically paid 3% less than men. The high-tech sector employs more men (64% against 52%), Asian Americans (14% compared to 5.8%), and white people (68.5% versus 63.5%) compared to other industries. The tech industry is urged to prioritize inclusion when hiring, mentoring, and retaining employees to bridge the digital skills gap. Black professionals only account for 4% of all tech workers despite being 13% of the US workforce. Hispanic professionals hold just 8% of all STEM jobs despite being 17% of the national workforce. Only 22% of workers in tech are ethnic minorities. Gender diversity in tech is low, with just 26% of jobs in computer-related sectors occupied by women. Companies with diverse teams have higher profitability, with those in the top quartile for gender diversity being 25% more likely to have above-average profitability. Every month, the tech industry adds about 9,600 jobs to the U.S. economy. Between May 2009 and May 2015, over 800,000 net STEM jobs were added to the U.S. economy. STEM jobs are expected to grow by another 8.9% between 2015 and 2024. The percentage of black and Hispanic employees at major tech companies is very low, making up just one to three percent of the tech workforce. Tech hiring relies heavily on poaching and incentives, creating an unsustainable ecosystem ripe for disruption. Recruiters have a significant role in disrupting the hiring process to support diversity and inclusion. You May Also Like To Read Outsourcing Statistics Digital Transformation Statistics Internet of Things Statistics Computer Vision Statistics
This dataset provides many demographic and social figures on topics such as health, education and family life for 2005. The data was accessed form the website for the National Institute of Statistics for Venezuela. The data are available yearly for the Federal Entities (states) of Venezuela. Values of -1 represent no data available.
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 Lake Ozark by race. It includes the population of Lake Ozark across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Lake Ozark across relevant racial categories.
Key observations
The percent distribution of Lake Ozark population by race (across all racial categories recognized by the U.S. Census Bureau): 90.98% are white, 6.08% are Black or African American, 0.94% are some other race and 2% 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 Lake Ozark Population by Race & Ethnicity. You can refer the same here
US Census Bureau American Community Survey 2013-2017 Estimates in the Keys the Valley Region for Race/Ethnicity, Educational Attainment, Unemployment, Health Insurance, Disability and Vehicle Access.
The American Community Survey (ACS) is a nationwide survey designed to provide communities with reliable and timely social, economic, housing, and demographic data every year. Because the ACS is based on a sample, rather than all housing units and people, ACS estimates have a degree of uncertainty associated with them, called sampling error. In general, the larger the sample, the smaller the level of sampling error. Data associated with a small town will have a greater degree of error than data associated with an entire county. To help users understand the impact of sampling error on data reliability, the Census Bureau provides a “margin of error” for each published ACS estimate. The margin of error, combined with the ACS estimate, give users a range of values within which the actual “real-world” value is likely to fall.
Single-year and multiyear estimates from the ACS are all “period” estimates derived from a sample collected over a period of time, as opposed to “point-in-time” estimates such as those from past decennial censuses. For example, the 2000 Census “long form” sampled the resident U.S. population as of April 1, 2000. The estimates here were derived from a sample collected over time from 2013-2017.
Race/Ethnicity
·
WPop: Total population of those who identify as white alone (B01001A).
·
PWPop: Percentage of total population that identifies as white alone
(B01001A).
·
BPop: Total population of those who identify as black or African
American alone (B01001B).
·
PWPop: Percentage of total population that identifies as black or
African American alone (B01001B).
·
AmIPop: Total population of those who identify as American
Indian and Alaska Native alone (B01001C).
·
PAmIPop: Percentage of total population that identifies as American
Indian and Alaska Native alone (B01001C).
·
APop: Total population of those who identify as Asian alone (B01001D).
·
PAPop: Percentage of total population that identifies as Asian alone
(B01001D).
·
PacIPop: Total population of those who identify as Native Hawaiian and
Other Pacific Islander alone (B01001E).
·
PPacIPop: Percentage of total population that identifies as Native
Hawaiian and Other Pacific Islander alone (B01001E).
·
OPop: Total population of those who identify as Some Other Race alone
(B01001F).
·
POPop: Percentage of total population that identifies as Some Other
Race alone (B01001F).
·
MPop: Total population of those who identify as Two or More Races
(B01001G).
·
PMPop: Percentage of total population that identifies as Two or More
Races (B01001G).
·
WnHPop: Total population of those who identify as White alone, not
Hispanic or Latino (B01001H).
·
PWnHPop: Percentage of total
population that identifies as White alone, not Hispanic or Latino (B01001H).
·
LPop: Total population of those who identify as Hispanic or Latino
(B01001I).
·
PLPop: Percentage of total population that identifies as Hispanic or
Latino (B01001I).
Educational Attainment
·
EdLHS1824: Total population between the ages of 18 and 24 that has not
received a High School degree (S1501).
·
PEdLHS1824: Percentage of population between the ages of 18 and 24
that has not received a High School degree (S1501).
·
EdLHS1824: Total population between the ages of 18 and 24 that has
received a High School degree or equivalent (S1501).
·
PEdLHS1824: Percentage of population between the ages of 18 and 24
that has received a High School degree or equivalent (S1501).
·
EdSC1824: Total population between the ages of 18 and 24 that has
received some amount of college education or an associate’s degree (S1501).
·
PEdSC1824: Percentage of population between the ages of 18 and 24 that
has received some amount of college education or an associate’s degree (S1501).
·
EdB1824: Total population between the ages of 18 and 24 that has
received bachelor’s degree or higher (S1501).
·
PEdB1824: Percentage of the population between the ages of 18 and 24
that has received bachelor’s degree or higher (S1501).
·
EdL9: Total population ages 25 and over that has received less than a
ninth grade education (S1501).
·
PEdL9: Percentage of population ages 25 and over that has received
less than a ninth grade education (S1501).
·
Ed912nD: Total population ages 25 and over that has received some
degree of education between grades 9 and
12 but has not received a high school degree (S1501).
·
PEd912nD: Percentage of population ages 25 and over that has received
some degree of education between grades
9 and 12 but has not received a high school degree (S1501).
·
EdHS: Total population ages 25 and over that has received a high
school degree or equivalent (S1501).
·
PEdHS: Percentage of population ages 25 and over that has received a
high school degree or equivalent (S1501).
·
EdSC: Total population ages 25 and over with some college education
but no degree (S1501).
·
PEdSC: Percentage of population ages 25 and over with some college
education but no degree (S1501).
·
EdAssoc: Total population ages 25 and over with an associate’s degree (S1501).
·
PEdAssoc: Percentage of population population ages 25 and
over with an associate’s degree (S1501).
·
EdB: Total population ages 25 and over with bachelor’s degree (S1501).
·
PEdB: Percentage of population ages 25 and over with bachelor’s degree (S1501).
·
EdG: Total population ages 25 and over with a graduate or professional
degree (S1501).
·
PEdG: Percentage of population ages 25 and over with a graduate or
professional degree (S1501).
Unemployment, Health Insurance, Disability
·
UnempR: Unemployment rate among the population ages 16 and over
(S2301).
·
UnIn: Total non-institutionalized population without health insurance
(B27001).
·
PUnIn: Percentage of non-institutionalized populations without health
insurance (B27001).
·
Disab: Total non-institutionalized population
with a disability (S1810).
·
PDisab: Percentage of non-institutionalized populations with a disability
(B27001).
Vehicle Access
·
OwnNV: Total number of owner-occupied households without a vehicle
(B25044).
·
POwnNV: Percentage of owner-occupied households without a vehicle
(B25044).
·
OwnnV: Total number of owner-occupied households with n numbers
of vehicles (B25044).
·
POwnnV: Percentage of owner-occupied households with n numbers
of vehicles (B25044).
·
RentNV: Total number of renter-occupied households without a vehicle
(B25044).
·
PRentNV: Percentage of renter-occupied households without a vehicle
(B25044).
·
RentnV: Total number of renter-occupied households with n numbers
of vehicles (B25044).
·
POwnnV: Percentage of renter-occupied households with n numbers
of vehicles (B25044).
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 Grand Rapids by race. It includes the population of Grand Rapids across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Grand Rapids across relevant racial categories.
Key observations
The percent distribution of Grand Rapids population by race (across all racial categories recognized by the U.S. Census Bureau): 95.06% are white, 1.06% are Black or African American, 0.39% are Asian, 0.19% are some other race and 3.29% are multiracial.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Grand Rapids 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 Rochester by race. It includes the population of Rochester across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Rochester across relevant racial categories.
Key observations
The percent distribution of Rochester population by race (across all racial categories recognized by the U.S. Census Bureau): 92.39% are white and 7.61% are American Indian and Alaska Native.
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 Rochester 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 Indiana County by race. It includes the population of Indiana County across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Indiana County across relevant racial categories.
Key observations
The percent distribution of Indiana County population by race (across all racial categories recognized by the U.S. Census Bureau): 92.64% are white, 2.45% are Black or African American, 0.04% are American Indian and Alaska Native, 0.79% are Asian, 0.37% are some other race and 3.70% 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 Indiana County 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 Non-Hispanic population of Montana town by race. It includes the distribution of the Non-Hispanic population of Montana town across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Montana town across relevant racial categories.
Key observations
With a zero Hispanic population, Montana town is 100% Non-Hispanic. Among the Non-Hispanic population, the largest racial group is White alone with a population of 265 (96.01% 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 Montana town 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 Cleveland Heights by race. It includes the population of Cleveland Heights across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Cleveland Heights across relevant racial categories.
Key observations
The percent distribution of Cleveland Heights population by race (across all racial categories recognized by the U.S. Census Bureau): 48.51% are white, 39.54% are Black or African American, 0.08% are American Indian and Alaska Native, 5.52% are Asian, 0.07% are Native Hawaiian and other Pacific Islander, 1.87% are some other race and 4.41% 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 Cleveland Heights 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 Ethel by race. It includes the population of Ethel across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Ethel across relevant racial categories.
Key observations
The percent distribution of Ethel population by race (across all racial categories recognized by the U.S. Census Bureau): 74.40% are white, 25% are Black or African American and 0.60% are multiracial.
https://i.neilsberg.com/ch/ethel-ms-population-by-race.jpeg" alt="Ethel population by race">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Ethel Population by Race & Ethnicity. You can refer the same here