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.

This statistic shows the percentage of Asian-American adults living in poverty in the United States, as differentiated by specific Asian heritage groups in 2010. 15 percent of Korean-Americans lived in poverty in the United States as of 2010.

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.

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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.

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This statistic shows the percentage of Asian-Americans, by specific Asian heritage, who were 25 and older and had a college degree or higher as of 2010. 51 percent of Chinese-Americans in the United States had a college degree or higher in 2010.

Background: Several studies suggest that Asian-American and Native Hawaiian and Other Pacific Islander (NHOPI) racial/ethnic groups have a heightened risk of chronic kidney disease (CKD), but provide limited inference due to the aggregation of these groups into a single racial/ethnic category. We thus examined the association of granularly defined racial/ethnic groups with specific CKD indicators among a diverse group of participants from the National Kidney Foundation of Hawaii’s Kidney Early Detection Screening (KEDS) Program. Methods: Among 1,243 participants enrolled in 19 KEDS screening events over 2006–2009, we examined the association between Asian-American and NHOPI groups and specific CKD indicators, defined as self-reported CKD, microalbuminuria, and macroalbuminuria, using multivariable logistic regression. We then examined associations of race/ethnicity with various CKD risk factors. Results: The most predominant racial/ethnic groups were White (22.0%), Multiracial (18.9%), Japanese (19.2%), Filipino (13.4%), NHOPI (8.4%), and Chinese (4.5%) participants. NHOPI and Chinese participants had a higher risk of microalbuminuria (adjusted ORs [aORs] [95% CIs] 2.48 [1.25–4.91] and 2.37 [1.07–5.27], respectively), while point estimates for all other minority groups suggested higher risk (reference: Whites). NHOPI participants also had a higher risk of macroalbuminuria and self-reported CKD. While most minorities had a higher risk of diabetes and hypertension, NHOPI and Multiracial participants had a higher risk of obesity, whereas the East Asian groups had a lower risk. Conclusions: In this community-based cohort, compared with Whites, Asian-Americans had a higher risk of early CKD indicators, whereas NHOPIs had a higher risk of more severe CKD indicators. Further studies are needed to elucidate the distinct pathways leading to CKD across diverse racial/ethnic groups in Hawaii.

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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 statistic shows the percentage of the U.S. population, aged 25 years and older, with a bachelor's degree or more as of 2010. The results are distinguished by ethnic groups. 49 percent of Asian-Americans aged 25 and older held a bachelor's degree as of 2010.

Financial overview and grant giving statistics of Asian American Commerce Group Foundation

South Asian Americans are part of the fastest growing racial/ethnic group in the United States and make up a substantial portion of the U.S. immigrant population. Research on this group has often focused on acculturation, the adoption of different values and behaviors in a new sociocultural environment. While there is evidence to suggest that acculturation (and the stress associated with this process) has a negative effect on the health and well-being of Asian Americans, more recent research has emphasized the need to examine the role of broader social forces—including everyday racism—in impacting mental health. Drawing on the stress process model, this study uses an original survey instrument to investigate the relationships between acculturative stress, anti-Asian racism, and mental health among a community sample of 200 South Asians in Texas. Results from hierarchical multiple regression models indicate that both acculturative stress and everyday racism are strongly linked to higher levels of anxiety-related symptoms and more frequent depressive symptoms. Everyday racism, however, explained variance in these outcomes, well beyond the effect of acculturative stress and other sociodemographic factors. These results underscore the potential benefit and importance of including questions about racism in community health surveys that aim to study health disparities among Asian Americans and highlight the persistence of social issues that U.S. South Asians face.

Note. Demographic data were not collected in Study 3.Participant Demographics.

This statistics shows the leading metropolitan areas in the United States in 2023 with the highest percentage of Asian population. Among the 81 largest metropolitan areas, Urban Honolulu, Hawaii was ranked first with **** percent of residents reporting as Asian in 2023.

This layer shows Asian alone or in any combination by selected groups. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. The numbers by detailed Asian groups do not add to the total population. This is because the detailed Asian groups are tallies of the number of Asian responses rather than the number of Asian respondents. Responses that include more than one race and/or Asian group are counted several times. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B02001, B02011, B02018 (Not all lines of ACS table B02001 are available in this layer.)Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census: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 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 Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations: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.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.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.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, 2019-2023 American Community Survey 5-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..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..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Total includes people who reported Asian only, regardless of whether they reported one or more detailed Asian groups.Other Asian, specified. Includes respondents who provided a response of another Asian group not shown separately, such as Malay or Tai Dam.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 Hispanic origin and race codes were updated in 2020. For more information on the Hispanic origin and race code changes, please visit the American Community Survey Technical Documentation website..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census 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:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

According to a survey conducted in 2024, ** percent of Americans agreed that Asian Americans and Christian Americans strengthened society in the United States, the most out of all included ethnic and religious groups. In comparison, only ** percent of respondents believed that Muslim Americans strengthened American society as of 2024.

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This statistic shows the median household income of different Asian heritage groups in the United States as of 2010. Chinese-Americans earned a median household income of 65,050 U.S. dollars per year in 2010.

Note. ***p