About this dataset

Context

The dataset tabulates the White City population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for White City. The dataset can be utilized to understand the population distribution of White City by age. For example, using this dataset, we can identify the largest age group in White City.

Key observations

The largest age group in White City, IL was for the group of age 40 to 44 years years with a population of 38 (13.15%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in White City, IL was the 85 years and over years with a population of 2 (0.69%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the White City is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of White City 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 White City Population by Age. You can refer the same here

In 2024, white Americans remained the largest racial group in the United States, numbering just over 254 million. Black Americans followed at nearly 47 million, with Asians totaling around 23 million. Hispanic residents, of any race, constituted the nation’s largest ethnic minority. Despite falling fertility, the U.S. population continues to edge upward and is expected to reach 342 million in 2025. International migrations driving population growth The United States’s population growth now hinges on immigration. Fertility rates have long been in decline, falling well below the replacement rate of 2.1. On the other hand, international migration stepped in to add some 2.8 million new arrivals to the national total that year. Changing demographics and migration patterns Looking ahead, the U.S. population is projected to grow increasingly diverse. By 2060, the Hispanic population is expected to grow to 27 percent of the total population. Likewise, African Americans will remain the largest racial minority at just under 15 percent.

In 2023, half of Generation Z in the United States were white. In comparison, 48 percent of Gen Alpha were white in that year, making it the first generation that does not have a majority white population in the United States.

About this dataset

Context

The dataset tabulates the White Cloud population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for White Cloud. The dataset can be utilized to understand the population distribution of White Cloud by age. For example, using this dataset, we can identify the largest age group in White Cloud.

Key observations

The largest age group in White Cloud, MI was for the group of age 30 to 34 years years with a population of 134 (10.33%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in White Cloud, MI was the 75 to 79 years years with a population of 20 (1.54%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the White Cloud is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of White Cloud 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 White Cloud Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Non-Hispanic population of White County by race. It includes the distribution of the Non-Hispanic population of White County across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of White County across relevant racial categories.

Key observations

Of the Non-Hispanic population in White County, the largest racial group is White alone with a population of 25,598 (95.06% of the total Non-Hispanic population).

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 (for Non-Hispanic) for the White County
• Population: The population of the racial category (for Non-Hispanic) in the White County is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of White County total Non-Hispanic 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 White County Population by Race & Ethnicity. You can refer the same here

By 2060, the share of White residents in the United States is projected to decrease to below 45 percent. On the other hand, the share of ethnically Hispanic Americans will increase to some 27 percent by then. African Americans will remain the largest racial minority, at just under 15 percent. Racial and social gaps in the U.S. For decades, America was a melting pot of the racial and ethnical diversity of its population. Still, economic and social disparities remain persistent. Black families, for example, are significantly poorer than the general population by measure of median annual household income. Similarly, unemployment rates are higher among minorities, except for Asian Americans, who have the lowest rate of unemployment. Demographic shifts and population growth As the racial makeup of the United States evolves, the overall population continues to expand. Projections indicate that the U.S. population will reach 341.7 million by 2025. This growth occurs despite declining fertility rates, and has largely been driven by international migration to the country.

This includes the dataset and replication do file for the tables and figures included in the manuscript "Do White In-Group Processes Matter, Too? White Racial Identity and Support for Black Political Candidates."

Note: For information on data collection, confidentiality protection, nonsampling error, and definitions, see the 2020 Island Areas Censuses Technical Documentation..Due to COVID-19 restrictions impacting data collection for the 2020 Census of the U.S. Virgin Islands, data tables reporting social and economic characteristics do not include the group quarters population in the table universe. As a result, impacted 2020 data tables should not be compared to 2010 and other past census data tables reporting the same characteristics. The Census Bureau advises data users to verify table universes are the same before comparing data across census years. For more information about data collection limitations and the impacts on the U.S. Virgin Islands' data products, see the 2020 Island Areas Censuses Technical Documentation..[1] People who reported multiple responses may be counted in more than one of the race alone or in combination categories. For example, a respondent reporting Anguillan and White is counted in both the "Black or African American alone or in combination" category and the "White alone or in combination" category. These categories may add to more than the total population..[2] "Black or African American alone or in combination" includes respondents who reported a Black or African American group alone (e.g., Haitian), multiple Black or African American groups (e.g., Haitian and Dominica Islander), as well as respondents who reported one Black or African American group and one or more other groups classified as another race (e.g., Haitian and German)..[3] "White alone or in combination" includes respondents who reported a White group alone (e.g., German), multiple White groups (e.g., German and Irish), as well as respondents who reported one White group and one or more other groups classified as another race (e.g., German and Haitian)..[4] "Other races alone or in combination" includes respondents who reported one race group or multiple race groups that were not classified as Black or African American or White (e.g., Chinese and Samoan), as well as respondents who reported one group that was not classified as Black or African American or White and another that was classified as Black or African American or White (e.g., Chinese and Haitian)..[5] This category includes people who reported Cuban, Spaniard, and other detailed Hispanic responses. It also includes people who reported "Hispanic" or "Latino" and other general terms..[6] This category includes respondents who reported one race group that was not classified as Black or African American or White..[7] "Spouse" represents spouse of the householder. It does not reflect all spouses in a household..[8] "Family households" consist of a householder and one or more other people related to the householder by birth, marriage, or adoption..Explanation of Symbols: 1.An "-" means the statistic could not be computed because there were an insufficient number of observations. 2. An "-" following a median estimate means the median falls in the lowest interval of an open-ended distribution.3. An "+" following a median estimate means the median falls in the upper interval of an open-ended distribution.4. An "(X)" means not applicable..Source: U.S. Census Bureau, 2020 Census, U.S. Virgin Islands.

I conducted 15 interviews with non-white Hispanic students to ask them about their own racial identities and the importance of race and racial issues to their friendships. I interviewed 5 non-Hispanic white male students in fraternities and 5 non-Hispanic white female students in sororities because Greek Life is more racially homogenous than Colgate as a whole. I also interviewed 3 female and 2 male non-Hispanic white students because student-led religious life groups are more racially heterogenous. I chose students from these groups because I was trying to compare non-Hispanic white students with few friends of color to non-Hispanic white students with many friends of color. I asked interviewees about everything they are involved in at Colgate and all of the close friends they have had at Colgate. I wrote down every person they mentioned so I could refer to them later. I then ask interviewees about their relationships with their friends, what they talk about, what they do, etc. Next, I ask if they ever discuss politics or social issues with their friends. Finally, I ask about the importance of race to their own identities, to their friends' identities, to their conversations with friends, and to who they make friends with. In the end, I ask each interviewee to give me their best guesses for the race and gender of each person they mentioned as a friend. I also collected field notes for 10 to study what is said about race in everyday conversation rather than in an interview with me. Field notes were collected during 8 separate times in 3 different locations: Frank Dining Hall (main dining hall), The Coop (student union dining area), and The Jug (off-campus bar). I wrote down my best guess for the race and gender of everyone in the spaces I observed and who was socializing with who. I also wrote down everything I could hear people say.

This multi-scale map uses dots to represent the population of each race/ethnicity living within an area. Map opens at the state level, centered on the lower 48 states. Data is from U.S. Census Bureau's 2020 PL 94-171 data for tract, block group, and block.The map's colors represent each of the eight race/ethnicity categories have the highest total count. You can adjust the density of dots in your area by choosing "Change Style" for a layer. Race and ethnicity highlights from the U.S. Census Bureau:White population remained the largest race or ethnicity group in the United States, with 204.3 million people identifying as White alone. Overall, 235.4 million people reported White alone or in combination with another group. However, the White alone population decreased by 8.6% since 2010.Two or More Races population (also referred to as the Multiracial population) has changed considerably since 2010. The Multiracial population was measured at 9 million people in 2010 and is now 33.8 million people in 2020, a 276% increase.“In combination” multiracial populations for all race groups accounted for most of the overall changes in each racial category.All of the race alone or in combination groups experienced increases. The Some Other Race alone or in combination group (49.9 million) increased 129%, surpassing the Black or African American population (46.9 million) as the second-largest race alone or in combination group.The next largest racial populations were the Asian alone or in combination group (24 million), the American Indian and Alaska Native alone or in combination group (9.7 million), and the Native Hawaiian and Other Pacific Islander alone or in combination group (1.6 million).Hispanic or Latino population, which includes people of any race, was 62.1 million in 2020. Hispanic or Latino population grew 23%, while the population that was not of Hispanic or Latino origin grew 4.3% since 2010.View more 2020 Census statistics highlights on race and ethnicity.

Dataset population: Persons

Ethnic group

Ethnic group classifies people according to their own perceived ethnic group and cultural background.

This topic contains ethnic group write-in responses without reference to the five broad ethnic group categories, e.g. all Irish people, irrespective of whether they are White, Mixed/multiple ethnic groups, Asian/Asian British, Black/African/Caribbean/Black British or Other ethnic group, are in the "Irish" response category. This topic was created as part of the commissioned table processing.

This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2013-2017, to show population by race/ethnicity and change data by Zip Code Tabulation Area in the Atlanta region. The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2013-2017). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website. Naming conventions: Prefixes:NoneCountpPercentrRatemMedianaMean (average)tAggregate (total)chChange in absolute terms (value in t2 - value in t1)pchPercent change ((value in t2 - value in t1) / value in t1)chpChange in percent (percent in t2 - percent in t1)Suffixes:NoneChange over two periods_eEstimate from most recent ACS_mMargin of Error from most recent ACS_00Decennial 2000 Attributes: SumLevelSummary level of geographic unit (e.g., County, Tract, NSA, NPU, DSNI, SuperDistrict, etc)GEOIDCensus tract Federal Information Processing Series (FIPS) code NAMEName of geographic unitPlanning_RegionPlanning region designation for ARC purposesAcresTotal area within the tract (in acres)SqMiTotal area within the tract (in square miles)CountyCounty identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)CountyNameCounty NameTotPop_e# Total population, 2017TotPop_m# Total population, 2017 (MOE)Hisp_e# Hispanic or Latino (of any race), 2017Hisp_m# Hispanic or Latino (of any race), 2017 (MOE)pHisp_e% Hispanic or Latino (of any race), 2017pHisp_m% Hispanic or Latino (of any race), 2017 (MOE)Not_Hisp_e# Not Hispanic or Latino, 2017Not_Hisp_m# Not Hispanic or Latino, 2017 (MOE)pNot_Hisp_e% Not Hispanic or Latino, 2017pNot_Hisp_m% Not Hispanic or Latino, 2017 (MOE)NHWhite_e# Not Hispanic, White alone, 2017NHWhite_m# Not Hispanic, White alone, 2017 (MOE)pNHWhite_e% Not Hispanic, White alone, 2017pNHWhite_m% Not Hispanic, White alone, 2017 (MOE)NHBlack_e# Not Hispanic, Black or African American alone, 2017NHBlack_m# Not Hispanic, Black or African American alone, 2017 (MOE)pNHBlack_e% Not Hispanic, Black or African American alone, 2017pNHBlack_m% Not Hispanic, Black or African American alone, 2017 (MOE)NH_AmInd_e# Not Hispanic, American Indian and Alaska Native alone, 2017NH_AmInd_m# Not Hispanic, American Indian and Alaska Native alone, 2017 (MOE)pNH_AmInd_e% Not Hispanic, American Indian and Alaska Native alone, 2017pNH_AmInd_m% Not Hispanic, American Indian and Alaska Native alone, 2017 (MOE)NH_Asian_e# Not Hispanic, Asian alone, 2017NH_Asian_m# Not Hispanic, Asian alone, 2017 (MOE)pNH_Asian_e% Not Hispanic, Asian alone, 2017pNH_Asian_m% Not Hispanic, Asian alone, 2017 (MOE)NH_PacIsl_e# Not Hispanic, Native Hawaiian and Other Pacific Islander alone, 2017NH_PacIsl_m# Not Hispanic, Native Hawaiian and Other Pacific Islander alone, 2017 (MOE)pNH_PacIsl_e% Not Hispanic, Native Hawaiian and Other Pacific Islander alone, 2017pNH_PacIsl_m% Not Hispanic, Native Hawaiian and Other Pacific Islander alone, 2017 (MOE)NH_OthRace_e# Not Hispanic, some other race alone, 2017NH_OthRace_m# Not Hispanic, some other race alone, 2017 (MOE)pNH_OthRace_e% Not Hispanic, some other race alone, 2017pNH_OthRace_m% Not Hispanic, some other race alone, 2017 (MOE)NH_TwoRace_e# Not Hispanic, two or more races, 2017NH_TwoRace_m# Not Hispanic, two or more races, 2017 (MOE)pNH_TwoRace_e% Not Hispanic, two or more races, 2017pNH_TwoRace_m% Not Hispanic, two or more races, 2017 (MOE)NH_AsianPI_e# Non-Hispanic Asian or Pacific Islander, 2017NH_AsianPI_m# Non-Hispanic Asian or Pacific Islander, 2017 (MOE)pNH_AsianPI_e% Non-Hispanic Asian or Pacific Islander, 2017pNH_AsianPI_m% Non-Hispanic Asian or Pacific Islander, 2017 (MOE)NH_Other_e# Non-Hispanic other (Native American, other one race, two or more races), 2017NH_Other_m# Non-Hispanic other (Native American, other one race, two or more races), 2017 (MOE)pNH_Other_e% Non-Hispanic other (Native American, other one race, two or more races), 2017pNH_Other_m% Non-Hispanic other (Native American, other one race, two or more races), 2017 (MOE)last_edited_dateLast date the feature was edited by ARC Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2013-2017 For additional information, please visit the Census ACS website.

Percent who say they have experienced the following in their daily life at least a few times in the past year:. Notes: Black, Asian, and AIAN groups include multiracial and single-race adults of Hispanic and non-Hispanic ethnicity. Hispanic group includes those who identify as Hispanic regardless of race. White includes single-race non-Hispanic adults only.
*Among those who responded in a language other than English Results not shown for groups with insufficient sample size.

About this dataset

Context

The dataset tabulates the White Hall population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for White Hall. The dataset can be utilized to understand the population distribution of White Hall by age. For example, using this dataset, we can identify the largest age group in White Hall.

Key observations

The largest age group in White Hall, AR was for the group of age 45 to 49 years years with a population of 725 (13.13%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in White Hall, AR was the 85 years and over years with a population of 24 (0.43%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the White Hall is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of White Hall 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 White Hall Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Non-Hispanic population of United States by race. It includes the distribution of the Non-Hispanic population of United States across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of United States across relevant racial categories.

Key observations

Of the Non-Hispanic population in United States, the largest racial group is White alone with a population of 193.34 million (71.80% of the total Non-Hispanic population).

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 (for Non-Hispanic) for the United States
• Population: The population of the racial category (for Non-Hispanic) in the United States is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of United States total Non-Hispanic 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 United States Population by Race & Ethnicity. You can refer the same here

NUMBER OF MEASURES FOR WHICH GROUP FARED WORSE, THE SAME, OR BETTER COMPARED TO WHITE PEOPLE:. Notes: Measures are for the most recent year for which data are available. "Better" or "Worse" indicates a statistically significant difference from White people at the p<0.05 level. No difference indicates no statistically significant difference. "Data limitation" indicates no separate data for a racial/ethnic group, insufficient data for a reliable estimate, or comparisons not possible due to overlapping samples. AIAN refers to American Indian or Alaska Native. NHPI refers to Native Hawaiian or Pacific Islander. Persons of Hispanic origin may be of any race but are categorized as Hispanic for this analysis; other groups are non-Hispanic.

This study examines racial/ethnic group differences in self-neglect incidence and describes how these differences varied across eleven regions of Texas. The county-based regions are used by state agencies and include both metropolitan (e.g., Houston) as well as rural (e.g., Abilene) areas. The data included 134,538 cases of self-neglect validated by adult protective services among people 65+ years old from 2020 to 2023. We aggregated county population figures from US Census Bureau estimates and calculated incidence and incident rate ratios (IRRs) stratified by gender, race/ethnicity, and region. Self-neglect incidence among Black older adults was nearly twice that of White older adults, a difference that persisted across metropolitan regions. Yet, Black-White differences were much more pronounced in certain rural regions. Hispanic-White IRRs varied across both metropolitan and rural regions. In one rural region, for example, self-neglect incidence among Hispanic older adults was more than twice that of White older adults; in others it was less than half that of White older adults. Addressing self-neglect among Black and Hispanic older adults should anticipate that different communities may require distinct approaches. Future studies with more geographic units should build on this descriptive study to explain variation in racial/ethnic group differences in self-neglect incidence.

In 2011, 87.2 percent of the total population of the United Kingdom were white British. A positive net migration in recent years combined with the resultant international relationships following the wide-reaching former British Empire has contributed to an increasingly diverse population. Varied ethnic backgrounds Black British citizens, with African and/or African-Caribbean ancestry, are the largest ethnic minority population, at three percent of the total population. Indian Britons are one of the largest overseas communities of the Indian diaspora and make up 2.3 percent of the total UK population. Pakistani British citizens, who make up almost two percent of the UK population, have one of the highest levels of home ownership in Britain. Racism in the United Kingdom Though it has decreased in comparison to the previous century, the UK has seen an increase in racial prejudice during the first decade and a half of this century. Racism and discrimination continues to be part of daily life for Britain’s ethnic minorities, especially in terms of work, housing, and health issues. Moreover, the number of hate crimes motivated by race reported since 2012 has increased, and in 2017/18, there were 3,368 recorded offenses of racially or religiously aggravated assault with injury, almost a thousand more than in 2013/14.

Notes: * Indicates statistically significant difference from White people at the p<0.05 level. Limited English Proficiency includes individuals ages five and older who speak a language other than English and who speak English less than very well. Persons of Hispanic origin may be of any race but are categorized as Hispanic for this analysis; other groups are non-Hispanic. AIAN refers to American Indian or Alaska Native. NHPI refers to Native Hawaiian or Pacific Islander.

Percent of adults who say there was a time in the past three years when they thought they might need mental health services or medication but didn't get them:. Notes: Insufficient sample size to report Asian or AIAN adults by mental health status. Black, Asian, and AIAN groups include multiracial and single-race adults of Hispanic and non-Hispanic ethnicity. Hispanic group includes those who identify as Hispanic regardless of race. White includes single-race non-Hispanic adults only. See topline for full question wording.