100+ datasets found
  1. Median household income of Asian heritage groups in the United States 2010

    • statista.com
    Updated Jun 19, 2012
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    Statista (2012). Median household income of Asian heritage groups in the United States 2010 [Dataset]. https://www.statista.com/statistics/233775/median-household-income-of-asian-heritage-groups-in-the-us/
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    Dataset updated
    Jun 19, 2012
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2010
    Area covered
    United States
    Description

    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.

  2. Percentage of U.S. Asian population with a college degree, by heritage group...

    • statista.com
    Updated Jun 19, 2012
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    Statista (2012). Percentage of U.S. Asian population with a college degree, by heritage group 2010 [Dataset]. https://www.statista.com/statistics/233783/percentage-of-us-asian-groups-with-a-college-degree/
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    Dataset updated
    Jun 19, 2012
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2010
    Area covered
    United States
    Description

    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.

  3. N

    states in U.S. Ranked by Non-Hispanic Asian Population // 2025 Edition

    • neilsberg.com
    csv, json
    Updated Feb 11, 2025
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    Neilsberg Research (2025). states in U.S. Ranked by Non-Hispanic Asian Population // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/lists/states-in-united-states-by-non-hispanic-asian-population/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 11, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Variables measured
    Non-Hispanic Asian Population, Non-Hispanic Asian Population as Percent of Total Population of states in United States, Non-Hispanic Asian Population as Percent of Total Non-Hispanic Asian Population of United States
    Measurement technique
    To measure the rank and respective trends, we initially gathered data from the five most recent American Community Survey (ACS) 5-Year Estimates. We then analyzed and categorized the data for each of the racial categories identified by the U.S. Census Bureau. Based on the required racial category classification, we calculated the rank. For geographies with no population reported for the chosen race, we did not assign a rank and excluded them from the list. It is possible that a small population exists but was not reported or captured due to limitations or variations in Census data collection and reporting. We ensured that the population estimates used in this dataset pertain exclusively to the identified racial categories and do not rely on any ethnicity classification, unless explicitly required.For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    This list ranks the 50 states in the United States by Non-Hispanic Asian population, as estimated by the United States Census Bureau. It also highlights population changes in each states over the past five years.

    Content

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

    • 2019-2023 American Community Survey 5-Year Estimates
    • 2018-2022 American Community Survey 5-Year Estimates
    • 2017-2021 American Community Survey 5-Year Estimates
    • 2016-2020 American Community Survey 5-Year Estimates
    • 2015-2019 American Community Survey 5-Year Estimates

    Variables / Data Columns

    • Rank by Non-Hispanic Asian Population: This column displays the rank of states in the United States by their Non-Hispanic Asian population, using the most recent ACS data available.
    • states: The states for which the rank is shown in the previous column.
    • Non-Hispanic Asian Population: The Non-Hispanic Asian population of the states is shown in this column.
    • % of Total states Population: This shows what percentage of the total states population identifies as Non-Hispanic Asian. Please note that the sum of all percentages may not equal one due to rounding of values.
    • % of Total U.S. Non-Hispanic Asian Population: This tells us how much of the entire United States Non-Hispanic Asian population lives in that states. Please note that the sum of all percentages may not equal one due to rounding of values.
    • 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

    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/.

  4. ACS Specific Asian Groups - Boundaries

    • gis-fema.hub.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Feb 4, 2022
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    Esri (2022). ACS Specific Asian Groups - Boundaries [Dataset]. https://gis-fema.hub.arcgis.com/datasets/esri::acs-specific-asian-groups-boundaries
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    Dataset updated
    Feb 4, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    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.

  5. i

    Grant Giving Statistics for Asian-American Community Services

    • instrumentl.com
    Updated May 30, 2021
    + more versions
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    (2021). Grant Giving Statistics for Asian-American Community Services [Dataset]. https://www.instrumentl.com/990-report/asian-american-community-services
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    Dataset updated
    May 30, 2021
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Asian-American Community Services

  6. i

    Grant Giving Statistics for Asian Americans for Community Involvement of...

    • instrumentl.com
    Updated Apr 25, 2022
    + more versions
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    (2022). Grant Giving Statistics for Asian Americans for Community Involvement of Santa Clara County [Dataset]. https://www.instrumentl.com/990-report/asian-americans-for-community-involvement-of-santa-clara-county
    Explore at:
    Dataset updated
    Apr 25, 2022
    Area covered
    Santa Clara County
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Asian Americans for Community Involvement of Santa Clara County

  7. N

    cities in Cattaraugus County Ranked by Asian Population // 2025 Edition

    • neilsberg.com
    csv, json
    Updated Jan 24, 2025
    + more versions
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    Neilsberg Research (2025). cities in Cattaraugus County Ranked by Asian Population // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/lists/cities-in-cattaraugus-county-ny-by-asian-population/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jan 24, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Cattaraugus County, New York
    Variables measured
    Asian Population, Asian Population as Percent of Total Asian Population of Cattaraugus County, NY, Asian Population as Percent of Total Population of cities in Cattaraugus County, NY
    Measurement technique
    To measure the rank and respective trends, we initially gathered data from the five most recent American Community Survey (ACS) 5-Year Estimates. We then analyzed and categorized the data for each of the racial categories identified by the U.S. Census Bureau. Based on the required racial category classification, we calculated the rank. For geographies with no population reported for the chosen race, we did not assign a rank and excluded them from the list. It is possible that a small population exists but was not reported or captured due to limitations or variations in Census data collection and reporting. We ensured that the population estimates used in this dataset pertain exclusively to the identified racial categories and do not rely on any ethnicity classification, unless explicitly required.For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    This list ranks the 48 cities in the Cattaraugus County, NY by Asian population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.

    Content

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

    • 2019-2023 American Community Survey 5-Year Estimates
    • 2018-2022 American Community Survey 5-Year Estimates
    • 2017-2021 American Community Survey 5-Year Estimates
    • 2016-2020 American Community Survey 5-Year Estimates
    • 2015-2019 American Community Survey 5-Year Estimates

    Variables / Data Columns

    • Rank by Asian Population: This column displays the rank of cities in the Cattaraugus County, NY by their Asian population, using the most recent ACS data available.
    • cities: The cities for which the rank is shown in the previous column.
    • Asian Population: The Asian population of the cities is shown in this column.
    • % of Total cities Population: This shows what percentage of the total cities population identifies as Asian. Please note that the sum of all percentages may not equal one due to rounding of values.
    • % of Total Cattaraugus County Asian Population: This tells us how much of the entire Cattaraugus County, NY Asian population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
    • 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

    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/.

  8. Poverty rate of Asian-Americans in the U.S., by Asian heritage groups 2010

    • statista.com
    Updated Jun 19, 2012
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    Statista (2012). Poverty rate of Asian-Americans in the U.S., by Asian heritage groups 2010 [Dataset]. https://www.statista.com/statistics/233830/poverty-rate-of-asian-americans-in-the-us/
    Explore at:
    Dataset updated
    Jun 19, 2012
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2010
    Area covered
    United States
    Description

    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.

  9. i

    Grant Giving Statistics for Asian American for Better Community

    • instrumentl.com
    Updated Jul 5, 2021
    + more versions
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    (2021). Grant Giving Statistics for Asian American for Better Community [Dataset]. https://www.instrumentl.com/990-report/asian-american-for-better-community
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    Dataset updated
    Jul 5, 2021
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Asian American for Better Community

  10. f

    Table_1_Acculturative stress, everyday racism, and mental health among a...

    • frontiersin.figshare.com
    docx
    Updated Jun 4, 2023
    + more versions
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    Shan Mohammed Siddiqui (2023). Table_1_Acculturative stress, everyday racism, and mental health among a community sample of South Asians in Texas.docx [Dataset]. http://doi.org/10.3389/fpubh.2022.954105.s001
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    docxAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    Frontiers
    Authors
    Shan Mohammed Siddiqui
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    South Asia
    Description

    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.

  11. 2023 American Community Survey: C02015 | Asian Alone by Selected Groups (ACS...

    • data.census.gov
    + more versions
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    ACS, 2023 American Community Survey: C02015 | Asian Alone by Selected Groups (ACS 1-Year Estimates Detailed Tables) [Dataset]. https://data.census.gov/table/ACSDT1Y2023.C02015?q=Honolulu+county+Asian+selected+groups
    Explore at:
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ACS
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2023
    Description

    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, 2023 American Community Survey 1-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..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.

  12. N

    counties in North Carolina Ranked by Asian Population // 2025 Edition

    • neilsberg.com
    csv, json
    Updated Feb 10, 2025
    + more versions
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    Neilsberg Research (2025). counties in North Carolina Ranked by Asian Population // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/lists/counties-in-north-carolina-by-asian-population/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 10, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    North Carolina
    Variables measured
    Asian Population, Asian Population as Percent of Total Asian Population of North Carolina, Asian Population as Percent of Total Population of counties in North Carolina
    Measurement technique
    To measure the rank and respective trends, we initially gathered data from the five most recent American Community Survey (ACS) 5-Year Estimates. We then analyzed and categorized the data for each of the racial categories identified by the U.S. Census Bureau. Based on the required racial category classification, we calculated the rank. For geographies with no population reported for the chosen race, we did not assign a rank and excluded them from the list. It is possible that a small population exists but was not reported or captured due to limitations or variations in Census data collection and reporting. We ensured that the population estimates used in this dataset pertain exclusively to the identified racial categories and do not rely on any ethnicity classification, unless explicitly required.For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    This list ranks the 98 counties in the North Carolina by Asian population, as estimated by the United States Census Bureau. It also highlights population changes in each counties over the past five years.

    Content

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

    • 2019-2023 American Community Survey 5-Year Estimates
    • 2018-2022 American Community Survey 5-Year Estimates
    • 2017-2021 American Community Survey 5-Year Estimates
    • 2016-2020 American Community Survey 5-Year Estimates
    • 2015-2019 American Community Survey 5-Year Estimates

    Variables / Data Columns

    • Rank by Asian Population: This column displays the rank of counties in the North Carolina by their Asian population, using the most recent ACS data available.
    • counties: The counties for which the rank is shown in the previous column.
    • Asian Population: The Asian population of the counties is shown in this column.
    • % of Total counties Population: This shows what percentage of the total counties population identifies as Asian. Please note that the sum of all percentages may not equal one due to rounding of values.
    • % of Total North Carolina Asian Population: This tells us how much of the entire North Carolina Asian population lives in that counties. Please note that the sum of all percentages may not equal one due to rounding of values.
    • 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

    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/.

  13. 2010 American Community Survey: C02006 | ASIAN ALONE BY SELECTED GROUPS (ACS...

    • data.census.gov
    + more versions
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    ACS, 2010 American Community Survey: C02006 | ASIAN ALONE BY SELECTED GROUPS (ACS 1-Year Estimates Detailed Tables) [Dataset]. https://data.census.gov/table/ACSDT1Y2010.C02006?q=Honolulu+county+Asian+selected+groups
    Explore at:
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ACS
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2010
    Description

    Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Data and 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..Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, for 2010, the 2010 Census provides the official counts of the population and housing units for the nation, states, counties, cities and towns..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..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..Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2000 data. Boundaries for urban areas have not been updated since Census 2000. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..While the 2010 American Community Survey (ACS) data generally reflect the December 2009 Office of Management and Budget (OMB) definitions 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 definitions due to differences in the effective dates of the geographic entities..Total includes people who reported Asian only, regardless of whether they reported one or more detailed Asian groups...Other Asian. Includes people who provided a response of another Asian group (such as Burmese); and includes people who provided multiple Asian responses...Other Asian, not specified. Includes people who answered the "Other Asian" response category and did not provide a specific group; and includes people who provided only a generic term such as "Asian.".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 Accuracy of the Data). The effect of nonsampling error is not represented in these tables..Source: U.S. Census Bureau, 2010 American Community Survey

  14. N

    cities in Collier County Ranked by Multi-Racial Asian Population // 2025...

    • neilsberg.com
    csv, json
    Updated Feb 11, 2025
    + more versions
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    Neilsberg Research (2025). cities in Collier County Ranked by Multi-Racial Asian Population // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/lists/cities-in-collier-county-fl-by-multi-racial-asian-population/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 11, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Collier County, Florida
    Variables measured
    Multi-Racial Asian Population, Multi-Racial Asian Population as Percent of Total Population of cities in Collier County, FL, Multi-Racial Asian Population as Percent of Total Multi-Racial Asian Population of Collier County, FL
    Measurement technique
    To measure the rank and respective trends, we initially gathered data from the five most recent American Community Survey (ACS) 5-Year Estimates. We then analyzed and categorized the data for each of the racial categories identified by the U.S. Census Bureau. Based on the required racial category classification, we calculated the rank. For geographies with no population reported for the chosen race, we did not assign a rank and excluded them from the list. It is possible that a small population exists but was not reported or captured due to limitations or variations in Census data collection and reporting. We ensured that the population estimates used in this dataset pertain exclusively to the identified racial categories and do not rely on any ethnicity classification, unless explicitly required.For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    This list ranks the 3 cities in the Collier County, FL by Multi-Racial Asian population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.

    Content

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

    • 2019-2023 American Community Survey 5-Year Estimates
    • 2018-2022 American Community Survey 5-Year Estimates
    • 2017-2021 American Community Survey 5-Year Estimates
    • 2016-2020 American Community Survey 5-Year Estimates
    • 2015-2019 American Community Survey 5-Year Estimates

    Variables / Data Columns

    • Rank by Multi-Racial Asian Population: This column displays the rank of cities in the Collier County, FL by their Multi-Racial Asian population, using the most recent ACS data available.
    • cities: The cities for which the rank is shown in the previous column.
    • Multi-Racial Asian Population: The Multi-Racial Asian population of the cities is shown in this column.
    • % of Total cities Population: This shows what percentage of the total cities population identifies as Multi-Racial Asian. Please note that the sum of all percentages may not equal one due to rounding of values.
    • % of Total Collier County Multi-Racial Asian Population: This tells us how much of the entire Collier County, FL Multi-Racial Asian population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
    • 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

    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/.

  15. W

    Asian Population Concentration - Northern CA

    • wifire-data.sdsc.edu
    geotiff, wcs, wms
    Updated Mar 25, 2025
    + more versions
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    California Wildfire & Forest Resilience Task Force (2025). Asian Population Concentration - Northern CA [Dataset]. https://wifire-data.sdsc.edu/dataset/clm-asian-population-concentration-northern-ca
    Explore at:
    geotiff, wcs, wmsAvailable download formats
    Dataset updated
    Mar 25, 2025
    Dataset provided by
    California Wildfire & Forest Resilience Task Force
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Northern California, California
    Description

    Relative concentration of the Northern California region's Asian American population. The variable ASIANALN records all individuals who select Asian as their SOLE racial identity in response to the Census questionnaire, regardless of their response to the Hispanic ethnicity question. Both Hispanic and non-Hispanic in the Census questionnaire are potentially associated with the Asian race alone.

    "Relative concentration" is a measure that compares the proportion of population within each Census block group data unit that identify as ASIANALN alone to the proportion of all people that live within the 1,207 block groups in the Northern California RRK region that identify as ASIANALN alone. Example: if 5.2% of people in a block group identify as HSPBIPOC, the block group has twice the proportion of ASIANALN individuals compared to the Northern California RRK region (2.6%), and more than three times the proportion compared to the entire state of California (1.6%). If the local proportion is twice the regional proportion, then ASIANALN individuals are highly concentrated locally.

  16. f

    Participant Demographics.

    • plos.figshare.com
    xls
    Updated Jun 5, 2023
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    Chris C. Martin; John B. Nezlek (2023). Participant Demographics. [Dataset]. http://doi.org/10.1371/journal.pone.0108732.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Chris C. Martin; John B. Nezlek
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

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

  17. i

    Grant Giving Statistics for Asian Community Outreach

    • instrumentl.com
    Updated Aug 25, 2021
    + more versions
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    (2021). Grant Giving Statistics for Asian Community Outreach [Dataset]. https://www.instrumentl.com/990-report/asian-community-outreach-m
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    Dataset updated
    Aug 25, 2021
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Asian Community Outreach

  18. N

    cities in South Carolina Ranked by Asian Population // 2025 Edition

    • neilsberg.com
    csv, json
    Updated Feb 10, 2025
    + more versions
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    Neilsberg Research (2025). cities in South Carolina Ranked by Asian Population // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/lists/cities-in-south-carolina-by-asian-population/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 10, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    South Carolina
    Variables measured
    Asian Population, Asian Population as Percent of Total Asian Population of South Carolina, Asian Population as Percent of Total Population of cities in South Carolina
    Measurement technique
    To measure the rank and respective trends, we initially gathered data from the five most recent American Community Survey (ACS) 5-Year Estimates. We then analyzed and categorized the data for each of the racial categories identified by the U.S. Census Bureau. Based on the required racial category classification, we calculated the rank. For geographies with no population reported for the chosen race, we did not assign a rank and excluded them from the list. It is possible that a small population exists but was not reported or captured due to limitations or variations in Census data collection and reporting. We ensured that the population estimates used in this dataset pertain exclusively to the identified racial categories and do not rely on any ethnicity classification, unless explicitly required.For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    This list ranks the 269 cities in the South Carolina by Asian population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.

    Content

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

    • 2019-2023 American Community Survey 5-Year Estimates
    • 2018-2022 American Community Survey 5-Year Estimates
    • 2017-2021 American Community Survey 5-Year Estimates
    • 2016-2020 American Community Survey 5-Year Estimates
    • 2015-2019 American Community Survey 5-Year Estimates

    Variables / Data Columns

    • Rank by Asian Population: This column displays the rank of cities in the South Carolina by their Asian population, using the most recent ACS data available.
    • cities: The cities for which the rank is shown in the previous column.
    • Asian Population: The Asian population of the cities is shown in this column.
    • % of Total cities Population: This shows what percentage of the total cities population identifies as Asian. Please note that the sum of all percentages may not equal one due to rounding of values.
    • % of Total South Carolina Asian Population: This tells us how much of the entire South Carolina Asian population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
    • 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

    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/.

  19. N

    counties in Florida Ranked by Asian Population // 2025 Edition

    • neilsberg.com
    csv, json
    Updated Feb 10, 2025
    + more versions
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    Neilsberg Research (2025). counties in Florida Ranked by Asian Population // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/lists/counties-in-florida-by-asian-population/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 10, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Florida
    Variables measured
    Asian Population, Asian Population as Percent of Total Asian Population of Florida, Asian Population as Percent of Total Population of counties in Florida
    Measurement technique
    To measure the rank and respective trends, we initially gathered data from the five most recent American Community Survey (ACS) 5-Year Estimates. We then analyzed and categorized the data for each of the racial categories identified by the U.S. Census Bureau. Based on the required racial category classification, we calculated the rank. For geographies with no population reported for the chosen race, we did not assign a rank and excluded them from the list. It is possible that a small population exists but was not reported or captured due to limitations or variations in Census data collection and reporting. We ensured that the population estimates used in this dataset pertain exclusively to the identified racial categories and do not rely on any ethnicity classification, unless explicitly required.For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    This list ranks the 67 counties in the Florida by Asian population, as estimated by the United States Census Bureau. It also highlights population changes in each counties over the past five years.

    Content

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

    • 2019-2023 American Community Survey 5-Year Estimates
    • 2018-2022 American Community Survey 5-Year Estimates
    • 2017-2021 American Community Survey 5-Year Estimates
    • 2016-2020 American Community Survey 5-Year Estimates
    • 2015-2019 American Community Survey 5-Year Estimates

    Variables / Data Columns

    • Rank by Asian Population: This column displays the rank of counties in the Florida by their Asian population, using the most recent ACS data available.
    • counties: The counties for which the rank is shown in the previous column.
    • Asian Population: The Asian population of the counties is shown in this column.
    • % of Total counties Population: This shows what percentage of the total counties population identifies as Asian. Please note that the sum of all percentages may not equal one due to rounding of values.
    • % of Total Florida Asian Population: This tells us how much of the entire Florida Asian population lives in that counties. Please note that the sum of all percentages may not equal one due to rounding of values.
    • 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

    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/.

  20. i

    Grant Giving Statistics for Asian American Commerce Group Foundation

    • instrumentl.com
    Updated Jan 3, 2022
    + more versions
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    (2022). Grant Giving Statistics for Asian American Commerce Group Foundation [Dataset]. https://www.instrumentl.com/990-report/asian-american-commerce-group-found
    Explore at:
    Dataset updated
    Jan 3, 2022
    Description

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

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Statista (2012). Median household income of Asian heritage groups in the United States 2010 [Dataset]. https://www.statista.com/statistics/233775/median-household-income-of-asian-heritage-groups-in-the-us/
Organization logo

Median household income of Asian heritage groups in the United States 2010

Explore at:
Dataset updated
Jun 19, 2012
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2010
Area covered
United States
Description

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.

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