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

The Stroke Recovery in Underserved Populations 2005-2006 study was created to address the National Institute on Aging (NIA) Request For Application entitled "Research on Mind-Body Interactions and Health" (RFA OD-03-008). It addressed the NIA interest in "the impact of optimism, happiness, or a positive attitude on well-being and health; and social functioning and health." The study examined how positive emotion (e.g., joy, gratitude, love, contentment) and social networks independently and interactively contribute to recovery of functional status after stroke within two underserved groups. The specific study aims were to: Examine recovery of functional status (motor and cognitive function), for White, African American and Hispanic persons with stroke discharged from rehabilitation facilities Examine the contributions of positive emotion and social networks on recovery of functional status (motor and cognitive function), for White, African American, and Hispanic persons with stroke discharged from rehabilitation facilities; and Examine the interaction between positive emotion and social networks on recovery of functional status (motor and cognitive function) for White, African American, and Hispanic persons with stroke discharged from rehabilitation facilities. The data were collected by the IT Health Track at four time points: at admission and discharge from rehabilitation facility, and 80-180 days and 365-425 days after discharge. These data emphasize recovery of motor and cognitive functional status, positive emotion, and social networks The dataset contains 226 variables and 1219 cases from 11 rehabilitation facilities across the United States. face-to-face interview; telephone interviewThis study was funded by the National Institute on Aging through grant number R01AG024806-05S1.To protect the anonymity of respondents, all variables that could be used to identify individuals have been masked or recoded. For details regarding these changes, please refer to the Codebook Notes provided in the ICPSR Codebook in this data collection.Please note that this data collection contains duplicate records. ICPSR created a CASEID variable which is a unique case identifier. Variable PAT_ID accounts for the duplicate records, while variable CASEID allows data users to analyze the data for each case.All four of the longitudinal time points are included in the dataset. The following variable ending indication the time point associated with the variable. "_A" refers to admissions "_D" refers to discharge "_F" refers to 3 month follow-up "_Y" to the 12 month follow-up The purpose of this study was to address the National Institute on Aging RFA "Research on Mind-Body Interactions and Health." The study aimed to identify and examine factors that may contribute to a narrowing of the health disparities that currently exist between underserved minority groups, African Americans and Hispanics, and whites. The study strives to contribute important insights into why some individuals with stroke do well and others do poorly. The researchers targeted 16 rehabilitation facilities from the across Unites States with the objective of obtaining a large sample of racial and ethnic minorities represented. Data were collected by the IT Health Track at four time points: at admission and discharge from the rehabilitation facility, and 80-180 days and 365-425 days after discharge. Response Rates: Of the 16 rehabilitation facilities contacted, 11 participated in the study. Of the eligible respondents from those facilities 85 percent participated in the study. The study acquired responses from 1206 unique respondents: 906 whites, 199 blacks, 74 Hispanics and 27 respondents who identify as another race. Presence of Common Scales: Center for Epidemiologic Studies Depression Scale (CESD) DUKE-UNC Functional Social Support Functional Independence Measure (FIM) Documentation for the computation of the DUKE-UNC Functional Social Support Scale was not provided. Some of the topics highlighted in the data include the following: Demographics Stroke Symptoms Stroke Comorbidities Functional Recovery Social Support Community Partipation Emotional Well-being The data were convenience sampled from 11 rehabilitation facilities that were targeted to obtain responses from African American, Hispanic and White persons. Individuals with stroke who checked into rehabilitation facilities in the United States in 2005. Smallest Geographic Unit: rehabilitation facility Datasets: DS1: Stroke Recovery in Underserved Populations 2005-2006 [United States]

Number, percentage and rate (per 100,000 population) of homicide victims, by racialized identity group (total, by racialized identity group; racialized identity group; South Asian; Chinese; Black; Filipino; Arab; Latin American; Southeast Asian; West Asian; Korean; Japanese; other racialized identity group; multiple racialized identity; racialized identity, but racialized identity group is unknown; rest of the population; unknown racialized identity group), gender (all genders; male; female; gender unknown) and region (Canada; Atlantic region; Quebec; Ontario; Prairies region; British Columbia; territories), 2019 to 2023.