This statistic shows the change in the United States' Indian population from 1980 to 2010. In 1980, there were 396,000 Indian-Americans (Indian immigrants and people with Indian heritage) living in the United States.

Asian Indians were the first South Asians to immigrate to the United States in the late 1800s and are currently the largest ethnic group of South Asians living in the United States. Despite this the literature on perceived ethnic and racial discrimination experiences among this group is relatively understudied. The documented experiences of Asian Indians who either recently immigrated from India or were born and raised in America pose an important question: what are the experiences of perceived discrimination among Asian Indians living in America, particularly among younger populations who are continuing to develop their racial and ethnic identities? The current study utilized phenomenological methodology to explore the experiences of nine Asian Indian American adolescents' (ages 12–17 years). Data were collected via semi-structured interviews to assess participants' experiences of ethnic and racial discrimination and identity development. Thematic analysis was used to identify themes and subthemes among the participants' responses. Asian Indian adolescents living in the United States report experiencing discrimination at a young age. It is also evident that Asian Indian youth experience significant challenges when developing their sense of ethnic and racial identity while living within the United States. Findings document the racial and ethnic discrimination that Asian Indian adolescents living in the United States may experience from a young age. Importantly, these discrimination experiences are occurring as Asian Indian adolescents are developing their racial and ethnic identities. This study provides insight for future research, which is necessary to fully understand the experiences of Asian Indian adolescents.

This statistic shows the political preferences held by Asian-Americans in 2012, as distinguished by their countries of origin. 65 percent of Indian-Americans confirmed their political preference for the American Democratic party.

About this dataset

Context

The dataset tabulates the population of New York by race. It includes the population of New York across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of New York across relevant racial categories.

Key observations

The percent distribution of New York population by race (across all racial categories recognized by the U.S. Census Bureau): 60.73% are white, 15.21% are Black or African American, 0.42% are American Indian and Alaska Native, 8.65% are Asian, 0.05% are Native Hawaiian and other Pacific Islander, 8.99% are some other race and 5.97% are multiracial.

https://i.neilsberg.com/ch/new-york-population-by-race.jpeg" alt="New York population by race">

Content

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:

• 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 (excluding ethnicity) for the New York
• Population: The population of the racial category (excluding ethnicity) in the New York is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of New York 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 New York Population by Race & Ethnicity. You can refer the same here

Analysis of ‘Final Report of the Asian American Quality of Life (AAQoL)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/feb17efd-fa23-4e28-8acb-993def19d8a3 on 28 January 2022.

--- Dataset description provided by original source is as follows ---

The U.S. Census defines Asian Americans as individuals having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian subcontinent (U.S. Office of Management and Budget, 1997). As a broad racial category, Asian Americans are the fastest-growing minority group in the United States (U.S. Census Bureau, 2012). The growth rate of 42.9% in Asian Americans between 2000 and 2010 is phenomenal given that the corresponding figure for the U.S. total population is only 9.3% (see Figure 1). Currently, Asian Americans make up 5.6% of the total U.S. population and are projected to reach 10% by 2050. It is particularly notable that Asians have recently overtaken Hispanics as the largest group of new immigrants to the U.S. (Pew Research Center, 2015). The rapid growth rate and unique challenges as a new immigrant group call for a better understanding of the social and health needs of the Asian American population.

--- Original source retains full ownership of the source dataset ---

About this dataset

Context

The dataset tabulates the population of Piscataway township by race. It includes the population of Piscataway township across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Piscataway township across relevant racial categories.

Key observations

The percent distribution of Piscataway township population by race (across all racial categories recognized by the U.S. Census Bureau): 32.37% are white, 20.41% are Black or African American, 0.26% are American Indian and Alaska Native, 32.95% are Asian, 7.96% are some other race and 6.05% are multiracial.

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 (excluding ethnicity) for the Piscataway township
• Population: The population of the racial category (excluding ethnicity) in the Piscataway township is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Piscataway township 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 Piscataway township Population by Race & Ethnicity. You can refer the same here

Graph and download economic data for Population Estimate, Total, Hispanic or Latino, American Indian and Alaska Native Alone (5-year estimate) in East Carroll Parish, LA (B03002015E022035) from 2009 to 2023 about East Carroll Parish, LA; AK; LA; American Indian; latino; hispanic; estimate; persons; 5-year; population; and USA.

About this dataset

Context

The dataset tabulates the population of Forsyth County by race. It includes the population of Forsyth County across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Forsyth County across relevant racial categories.

Key observations

The percent distribution of Forsyth County population by race (across all racial categories recognized by the U.S. Census Bureau): 72.64% are white, 3.78% are Black or African American, 0.34% are American Indian and Alaska Native, 15.37% are Asian, 0.02% are Native Hawaiian and other Pacific Islander, 2.16% are some other race and 5.68% are multiracial.

https://i.neilsberg.com/ch/forsyth-county-ga-population-by-race.jpeg" alt="Forsyth County population by race">

Content

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:

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

This dataset tracks annual american indian student percentage from 2007 to 2023 for Yellow Medicine East Secondary vs. Minnesota and Yellow Medicine East School District

This statistic shows the number of male and female American Indian and Native Alaskan undergraduate students enrolled in degree-granting postsecondary institutions in the United States from 1976 to 2010. In 2010, there were 107,000 female American Indian and Native Alaskan students enrolled in U.S. universities, as compared to 72,000 Asian and Pacific Islander males.

Striking racial/ethnic disparities exist in pregnancy outcomes among various racial/ethnic To determine the incidence and risk factors associated with stillbirth in Asian-American women. We conducted this retrospective cohort study using the United States Birth and Fetal Death data files 2014–2017. We used the fetuses‐at‐risk approach to generate stillbirth trends by gestational age among Non-Hispanic (NH)-White and Asian-American births during the study period. We calculated the adjusted risk of stillbirth for Asian-Americans, overall, and for each Asian-American subgroup: Asian Indians, Koreans, Chinese, Vietnamese, Japanese and Filipinos, with NH-Whites as the referent category. Of the 715,297 births that occurred among Asian-Americans during the study period, stillbirth incidence rate was 3.86 per 1000 births. From the gestational age of 20 weeks through 41 weeks, the stillbirth rates were consistently lower among Asian-Americans compared to NH-Whites. Stillbirth incidence ranged from a low rate of 2.6 per 1000 births in Koreans to as high as 5.3 per 1000 births in Filipinos. After adjusting for potentially confounding characteristics, Asian-Americans were about half as likely to experience stillbirth compared to NH-White mothers [adjusted hazards ratio (AHR) = 0.57, 95% confidence interval (CI) = 0.51–0.64]. This intrauterine survival advantage was evident in all Asian-American subgroups. The risk of stillbirth is twofold lower in Asian-Americans than in NH-Whites. It will be an important research agenda to determine reasons for the improved intrauterine survival among Asian-Americans in order to uncover clues for reducing the burden of stillbirth among other racial/ethnic minority women in the United States.

This dataset includes race/ethnicity of newly Medi-Cal eligible individuals who identified their race/ethnicity as Hispanic, White, Other Asian or Pacific Islander, Black, Chinese, Filipino, Vietnamese, Asian Indian, Korean, Alaskan Native or American Indian, Japanese, Cambodian, Samoan, Laotian, Hawaiian, Guamanian, Amerasian, or Other, by reporting period. The race/ethnicity data is from the Medi-Cal Eligibility Data System (MEDS) and includes eligible individuals without prior Medi-Cal Eligibility. This dataset is part of the public reporting requirements set forth in California Welfare and Institutions Code 14102.5.

The Community Health Resources and Needs Assessment (CHRNA) project is a large-scale health needs assessment in diverse, low-income Asian American communities in New York City. The project uses a community-engaged and community venue-based approach to assess existing health issues, available resources, and best approaches to meet community health needs. Questions asked in the CHRNAs assess various determinants of health, including length of residence in the United States, English language proficiency, educational attainment, employment and income, perceived health, health insurance and access to care, nutrition and physical activity, mental health, screening for cancer and other chronic diseases, sleep deprivation, and connections to social and religious environments.

The second round of CHRNAs, conducted in 2013-2016, examined population changes, population health improvements, and changes in risk and protective factors in the last decade. Approximately 100 individuals were surveyed from each of the following Asian subgroups: Arab, Asian Indian, Bangladeshi, Cambodian, Chinese, Filipino, Himalayan, Indo-Caribbean, Japanese, Korean, Pakistani, Ski Lankan, and Vietnamese (n=1,803).

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2015-2019 American Community Survey 5-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Total includes people who reported Asian only, regardless of whether they reported one or more detailed Asian groups.Other Asian, specified. Includes respondents who provide a response of another Asian group not shown separately, such as Iwo Jiman, Maldivian, or Singaporean.Other Asian, not specified. Includes respondents who checked the "Other Asian" response category on the ACS questionnaire and did not write in a specific group or wrote in a generic term such as "Asian," or "Asiatic." Two or more Asian. Includes respondents who provided multiple Asian responses such as Asian Indian and Japanese; or Vietnamese, Chinese and Hmong..The 2015-2019 American Community Survey (ACS) data generally reflect the September 2018 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:An "**" entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.An "-" entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution, or the margin of error associated with a median was larger than the median itself.An "-" following a median estimate means the median falls in the lowest interval of an open-ended distribution.An "+" following a median estimate means the median falls in the upper interval of an open-ended distribution.An "***" entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate.An "*****" entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. An "N" entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small.An "(X)" means that the estimate is not applicable or not available.

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.

About this dataset

Context

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

Key observations

Of the Non-Hispanic population in East Windsor township, the largest racial group is White alone with a population of 12,304 (54.08% 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 East Windsor township
• Population: The population of the racial category (for Non-Hispanic) in the East Windsor township is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of East Windsor township 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 East Windsor township Population by Race & Ethnicity. You can refer the same here

This dataset includes the race of applicants for Insurance Affordability Programs (IAPs) who reported their race as American Indian and/or Alaska Native, Asian Indian, Black or African American, Chinese, Cambodian, Filipino, Guamanian or Chamorro, Hmong, Japanese, Korean, Laotian, Mixed Race, Native Hawaiian, Other, Other Asian, Other Pacific Islander, Samoan, Vietnamese, or White by reporting period. The race data is from the California Healthcare Eligibility, Enrollment and Retention System (CalHEERS) and includes data from applications submitted directly to CalHEERS, to Covered California, and to County Human Services Agencies through the Statewide Automated Welfare System (SAWS) eHIT interface. Please note the reporting category Other Asian option on the CalHEERS application was removed in September 2017. This dataset is part of public reporting requirements set forth by the California Welfare and Institutions Code 14102.5.

In an increasingly diverse United States (US) population, racial disparities in preterm birth outcomes continue to widen. In this study, we examined temporal trends and risk of preterm birth among Asian American women over a quarter century (1992–2018). This is a retrospective cohort study using the 1992–2018 Natality data files. We conducted joinpoint regression analyses to examine trends in preterm birth among Asian Americans and non-Hispanic (NH) Whites. Bivariate and multivariable analyses were used to identify risk factors associated with preterm birth among Asian Americans and their ethnic sub-groups as compared to NH-Whites. There were a total of 251,278 preterm births among Asian American women, corresponding to a rate of 10.0%, which was relatively stable over time. The incidence of extremely, very and moderate-to-late preterm birth among Asian Americans was 0.4%, 0.9% and 8.7% respectively. Overall, Asian American women exhibited lower adjusted odds (OR = 0.92; 95% CI: 0.88–0.97) of preterm birth than their NH-White counterparts. Comparing Asian American subgroups to NH-Whites, Filipinas and Vietnamese mothers had increased adjusted odds, whereas Chinese, Korean, Japanese and Asian Indian women showed decreased adjusted odds for preterm birth. The risk of preterm birth varied among the ethnic subgroups of Asian Americans in the United States. Future studies should explore the socio-cultural and environmental nuances that might explain these differences.

This dataset tracks annual american indian student percentage from 2019 to 2020 for Connecting Waters Charter - East Bay vs. California and Connecting Waters Charter - East Bay School District