14 datasets found
  1. ACS Children in Immigrant Families Variables - Boundaries

    • demographics.roanokecountyva.gov
    Updated Nov 27, 2018
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    Esri (2018). ACS Children in Immigrant Families Variables - Boundaries [Dataset]. https://demographics.roanokecountyva.gov/maps/71f0c22b02f54372a9e33bd5ec57fb79
    Explore at:
    Dataset updated
    Nov 27, 2018
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This layer shows children by nativity of parents by age group. 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. This layer is symbolized to show the percentage of children who are in immigrant families (children who are foreign born or live with at least one parent who is foreign born). 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): B05009Data 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.

  2. n

    Data from: New Immigrant Survey

    • neuinfo.org
    • scicrunch.org
    • +1more
    Updated Nov 6, 2024
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    (2024). New Immigrant Survey [Dataset]. http://identifiers.org/RRID:SCR_008973
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    Dataset updated
    Nov 6, 2024
    Description

    Public use data set on new legal immigrants to the U.S. that can address scientific and policy questions about migration behavior and the impacts of migration. A survey pilot project, the NIS-P, was carried out in 1996 to inform the fielding and design of the full NIS. Baseline interviews were ultimately conducted with 1,127 adult immigrants. Sample members were interviewed at baseline, 6 months, and 12 months, with half of the sample also interviewed at three months. The first full cohort, NIS-2003, is based on a nationally representative sample of the electronic administrative records compiled for new immigrants by the US government. NIS-2003 sampled immigrants in the period May-November 2003. The geographic sampling design takes advantage of the natural clustering of immigrants. It includes all top 85 Metropolitan Statistical Areas (MSAs) and all top 38 counties, plus a random sample of other MSAs and counties. Interviews were conducted in respondents'' preferred languages. The baseline was multi-modal: 60% of adult interviews were administered by telephone; 40% were in-person. The baseline round was in the field from June 2003 to June 2004, and includes in the Adult Sample 8,573 respondents, 4,336 spouses, and 1,072 children aged 8-12. A follow-up was planned for 2007. Several modules of the NIS were designed to replicate sections of the continuing surveys of the US population that provide a natural comparison group. Questionnaire topics include Health (self-reports of conditions, symptoms, functional status, smoking and drinking history) and use/source/costs of health care services, depression, pain; background; (2) Background: Childhood history and living conditions, education, migration history, marital history, military history, fertility history, language skills, employment history in the US and foreign countries, social networks, religion; Family: Rosters of all children; for each, demographic attributes, education, current work status, migration, marital status and children; for some, summary indicators of childhood and current health, language ability; Economic: Sources and amounts of income, including wages, pensions, and government subsidies; type, value of assets and debts, financial assistance given/received to/from respondent from/to relatives, friends, employer, type of housing and ownership of consumable durables. * Dates of Study: 2003-2007 * Study Features: Longitudinal * Sample Size: 13,981

  3. Children of Immigrants Longitudinal Study (CILS), San Diego, California, Ft....

    • icpsr.umich.edu
    • search.datacite.org
    ascii, delimited, r +3
    Updated Dec 12, 2018
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    Portes, Alejandro; Rumbaut, Rubén G. (2018). Children of Immigrants Longitudinal Study (CILS), San Diego, California, Ft. Lauderdale and Miami, Florida, 1991-2006 [Dataset]. http://doi.org/10.3886/ICPSR20520.v3
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    spss, sas, ascii, stata, r, delimitedAvailable download formats
    Dataset updated
    Dec 12, 2018
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Portes, Alejandro; Rumbaut, Rubén G.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/20520/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/20520/terms

    Time period covered
    1991 - 2006
    Area covered
    Miami, Florida, San Diego, Fort Lauderdale, California, United States
    Description

    Children of Immigrants Longitudinal Study (CILS) was designed to study the adaptation process of the immigrant second generation which is defined broadly as United States-born children with at least one foreign-born parent or children born abroad but brought at an early age to the United States. The original survey was conducted with large samples of second-generation immigrant children attending the 8th and 9th grades in public and private schools in the metropolitan areas of Miami/Ft. Lauderdale in Florida and San Diego, California. Conducted in 1992, the first survey had the purpose of ascertaining baseline information on immigrant families, children's demographic characteristics, language use, self-identities, and academic attainment. The total sample size was 5,262. Respondents came from 77 different nationalities, although the sample reflects the most sizable immigrant nationalities in each area. Three years later, corresponding to the time in which respondents were about to graduate from high school, the first follow-up survey was conducted. Its purpose was to examine the evolution of key adaptation outcomes including language knowledge and preference, ethnic identity, self-esteem, and academic attainment over the adolescent years. The survey also sought to establish the proportion of second-generation youths who dropped out of school before graduation. This follow-up survey retrieved 4,288 respondents or 81.5 percent of the original sample. Together with this follow-up survey, a parental survey was conducted. The purpose of this interview was to establish directly characteristics of immigrant parents and families and their outlooks for the future including aspirations and plans for the children. Since many immigrant parents did not understand English, this questionnaire was translated and administered in six different foreign languages. In total, 2,442 parents or 46 percent of the original student sample were interviewed. During 2001-2003, or a decade after the original survey, a final follow-up was conducted. The sample now averaged 24 years of age and, hence, patterns of adaptation in early adulthood could be readily assessed. The original and follow-up surveys were conducted mostly in schools attended by respondents, greatly facilitating access to them. Most respondents had already left school by the time of the second follow-up so they had to be contacted individually in their place of work or residence. Respondents were located not only in the San Diego and Miami areas, but also in more than 30 different states, with some surveys returned from military bases overseas. Mailed questionnaires were the principal source of completed data in this third survey. In total, CILS-III retrieved complete or partial information on 3,613 respondents representing 68.9 percent of the original sample and 84.3 percent of the first follow-up.Relevant adaptation outcomes measured in this survey include educational attainment, employment and occupational status, income, civil status and ethnicity of spouses/partners, political attitudes and participation, ethnic and racial identities, delinquency and incarceration, attitudes and levels of identification with American society, and plans for the future.

  4. Data from: The New Immigrant Survey Round 2 (NIS-2003-2), United States,...

    • icpsr.umich.edu
    ascii, delimited +5
    Updated Nov 25, 2024
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    Jasso, Guillermina; Massey, Douglas; Rosenzweig, Mark; Smith, James (2024). The New Immigrant Survey Round 2 (NIS-2003-2), United States, 2007-2009 [Public and Restricted-Use Version 1] [Dataset]. http://doi.org/10.3886/ICPSR38061.v2
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    sas, spss, qualitative data, r, delimited, stata, asciiAvailable download formats
    Dataset updated
    Nov 25, 2024
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Jasso, Guillermina; Massey, Douglas; Rosenzweig, Mark; Smith, James
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/38061/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38061/terms

    Time period covered
    2007 - 2009
    Area covered
    United States
    Description

    The New Immigrant Survey (NIS) was a nationally representative, longitudinal study of new legal immigrants to the United States and their children. The sampling frame was based on the electronic administrative records compiled for new legal permanent residents (LPRs) by the U.S. government (via, formerly, the U.S. Immigration and Naturalization Service (INS) and now its successor agencies, the U.S. Citizenship and Immigration Services (USCIS) and the Office of Immigration Statistics (OIS)). The sample was drawn from new legal immigrants during May through November of 2003. The geographic sampling design took advantage of the natural clustering of immigrants. It included all top 85 Metropolitan Statistical Areas (MSAs) and all top 38 counties, plus a random sample of MSAs and counties. The baseline survey (ICPSR 38031) was conducted from June 2003 to June 2004 and yielded data on: 8,573 Adult Sample respondents, 810 sponsor-parents of the Sampled Child, 4,915 spouses, and 1,072 children aged 8-12. This study contains the follow-up interview, conducted from June 2007 to October 2009, and yielded data on: 3,902 Adult Sample respondents, 351 sponsor-parents of the Sampled Child, 1,771 spouses, and 41 now-adult main children. Interviews were conducted in the respondents' language of choice. Round 2 instruments were designed to track changes from the baseline and also included new questions. As with the Round 1 questionnaire, questions that were used in social-demographic-migration surveys around the world as well as the major U.S. longitudinal surveys were reviewed in order to achieve comparability. The NIS content includes the following information: demographics, health and insurance, migration history, living conditions, transfers, employment history, income, assets, social networks, religion, housing environment, and child assessment tests.

  5. ACS Children in Immigrant Families Variables - Centroids

    • atlas-connecteddmv.hub.arcgis.com
    • hub.arcgis.com
    Updated Nov 27, 2018
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    Esri (2018). ACS Children in Immigrant Families Variables - Centroids [Dataset]. https://atlas-connecteddmv.hub.arcgis.com/maps/025016c9561540f8822a24dad05ef947
    Explore at:
    Dataset updated
    Nov 27, 2018
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This layer shows children by nativity of parents by age group. This is shown by tract, county, and state centroids. 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. This layer is symbolized to show the count and percentage of children who are in immigrant families (children who are foreign born or live with at least one parent who is foreign born). 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): B05009Data 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.

  6. Data from: New Americans: Child Care Choices of Parents of English Language...

    • childandfamilydataarchive.org
    Updated Jul 3, 2012
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    Ward, Helen; Oldham LaChance, Erin; Atkins, Julie (2012). New Americans: Child Care Choices of Parents of English Language Learners [Dataset]. http://doi.org/10.3886/ICPSR33901.v1
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    Dataset updated
    Jul 3, 2012
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Ward, Helen; Oldham LaChance, Erin; Atkins, Julie
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/33901/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/33901/terms

    Time period covered
    May 2009 - Feb 2010
    Area covered
    Maine, Colorado, United States
    Description

    Immigration to this country has increased significantly in recent years. While Mexican immigrants are the largest population of immigrants in the United States (39 percent), the rest of the population is widely varied, with no one nation accounting for more than 3 percent of all immigrants. Despite the significant benefits quality Early Childhood Education (ECE) programs offer to immigrant children, their rates of enrollment are significantly lower than for comparable children of United States-born parents. In order to better address the needs of these new American families, providers and state policymakers need more in-depth knowledge about the perceptions of these families and the factors that influence their choice of care. This study is an exploratory study in two cities which reflect the diversity of experience with immigration across the country: Denver, Colorado and surrounding areas, where the focus is on Mexican immigrants, and Portland, Maine and surrounding areas, where the focus is on three of the many refugee populations which have newly settled here. The contrasts, not only in the immigrant populations themselves, but also in the political and historical contexts of the communities in which they live, offer an opportunity to enrich the field of research on child care choices for this vulnerable population of children and families.Additional details about this study can be found on the New Americans Web site.

  7. Data from: Immigration and Intergenerational Mobility in Metropolitan Los...

    • icpsr.umich.edu
    • search.gesis.org
    • +1more
    ascii, delimited, sas +2
    Updated Jul 1, 2008
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    Rumbaut, Rubén G.; Bean, Frank D.; Chávez, Leo R.; Lee, Jennifer; Brown, Susan K.; DeSipio, Louis; Zhou, Min (2008). Immigration and Intergenerational Mobility in Metropolitan Los Angeles (IIMMLA), 2004 [Dataset]. http://doi.org/10.3886/ICPSR22627.v1
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    sas, spss, ascii, delimited, stataAvailable download formats
    Dataset updated
    Jul 1, 2008
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Rumbaut, Rubén G.; Bean, Frank D.; Chávez, Leo R.; Lee, Jennifer; Brown, Susan K.; DeSipio, Louis; Zhou, Min
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/22627/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/22627/terms

    Time period covered
    2002 - 2008
    Area covered
    Greater Los Angeles, Los Angeles, California, United States
    Description

    IIMMLA was supported by the Russell Sage Foundation. Since 1991, the Russell Sage Foundation has funded a program of research aimed at assessing how well the young adult offspring of recent immigrants are faring as they move through American schools and into the labor market. Two previous major studies have begun to tell us about the paths to incorporation of the children of contemporary immigrants: The Children of Immigrants Longitudinal Study (CILS), and the Immigrant Second Generation in New York study. The Immigration and Intergenerational Mobility in Metropolitan Los Angeles study is the third major initiative analyzing the progress of the new second generation in the United States. The Immigration and Intergenerational Mobility in Metropolitan Los Angeles (IIMMLA) study focused on young adult children of immigrants (1.5- and second-generation) in greater Los Angeles. IIMMLA investigated mobility among young adult (ages 20-39) children of immigrants in metropolitan Los Angeles and, in the case of the Mexican-origin population there, among young adult members of the third- or later generations. The five-county Los Angeles metropolitan area (Los Angeles, Orange, Ventura, Riverside and San Bernardino counties) contains the largest concentrations of Mexicans, Salvadorans, Guatemalans, Filipinos, Chinese, Vietnamese, Koreans, and other nationalities in the United States. The diverse migration histories and modes of incorporation of these groups made the Los Angeles metropolitan area a strategic choice for a comparison study of the pathways of immigrant incorporation and mobility from one generation to the next. The IIMMLA study compared six foreign-born (1.5-generation) and foreign-parentage (second-generation) groups (Mexicans, Vietnamese, Filipinos, Koreans, Chinese, and Central Americans from Guatemala and El Salvador) with three native-born and native-parentage comparison groups (third- or later-generation Mexican Americans, and non-Hispanic Whites and Blacks). The targeted groups represent both the diversity of modes of incorporation in the United States and the range of occupational backgrounds and immigration status among contemporary immigrants (from professionals and entrepreneurs to laborers, refugees, and unauthorized migrants). The surveys provide basic demographic information as well as extensive data about socio-cultural orientation and mobility (e.g., language use, ethnic identity, religion, remittances, intermarriage, experiences of discrimination), economic mobility (e.g., parents' background, respondents' education, first and current job, wealth and income, encounters with the law), geographic mobility (childhood and present neighborhood of residence), and civic engagement and politics (political attitudes, voting behavior, as well as naturalization and transnational ties).

  8. o

    Data and Code for: Immigrant Age at Arrival and the Intergenerational...

    • openicpsr.org
    delimited
    Updated Mar 17, 2025
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    Brian Duncan; Stephen J. Trejo (2025). Data and Code for: Immigrant Age at Arrival and the Intergenerational Transmission of Ethnic Identification among Mexican Americans [Dataset]. http://doi.org/10.3886/E223321V1
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    delimitedAvailable download formats
    Dataset updated
    Mar 17, 2025
    Dataset provided by
    American Economic Association
    Authors
    Brian Duncan; Stephen J. Trejo
    License

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

    Area covered
    United States
    Description

    Many U.S.-born descendants of Mexican immigrants do not identify as Mexican or Hispanic in response to the Hispanic origin question asked in the Census and other government surveys. Analyzing microdata from the 2000 U.S. Census and the 2001-2019 American Community Surveys, we show that the age at arrival of Mexican immigrants exerts an important influence on ethnic identification not only for these immigrants themselves but also for their U.S.-born children. Among Mexican immigrants who arrived as children, the rate of “ethnic attrition”—i.e., not self-identifying as Mexican or Hispanic—is higher for those who migrated at a younger age. Moreover, the children of these immigrants exhibit a similar pattern: greater ethnic attrition among children whose parents moved to the United States at a younger age. We unpack the relative importance of several key mechanisms—parental English proficiency, parental education, family structure, intermarriage, and geographic location—through which the age at arrival of immigrant parents influences the ethnic identification of their children. Intermarriage turns out to be the primary mechanism: Mexican immigrants who arrived at a very young age are more likely to marry non-Hispanics, and the rate of ethnic attrition is dramatically higher among children with mixed ethnic backgrounds. Prior research demonstrates that arriving at an early age hastens and furthers the integration of immigrants. We show here that this pattern also holds for ethnic identification and that the resulting differences in ethnic attrition among first-generation immigrants are transmitted to their second-generation children.

  9. Regional and local authority data on immigration groups

    • gov.uk
    • totalwrapture.com
    Updated May 22, 2025
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    Home Office (2025). Regional and local authority data on immigration groups [Dataset]. https://www.gov.uk/government/statistical-data-sets/immigration-system-statistics-regional-and-local-authority-data
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    Dataset updated
    May 22, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Home Office
    Description

    Immigration system statistics quarterly release.

    Accessible file formats

    The Microsoft Excel .xlsx files may not be suitable for users of assistive technology.
    If you use assistive technology (such as a screen reader) and need a version of these documents in a more accessible format, please email migrationstatistics@homeoffice.gov.uk
    Please tell us what format you need. It will help us if you say what assistive technology you use.

    Latest table

    https://assets.publishing.service.gov.uk/media/6825e438a60aeba5ab34e046/regional-and-local-authority-dataset-mar-2025.xlsx">Regional and local authority data on immigration groups, year ending March 2025 (MS Excel Spreadsheet, 279 KB)
    Reg_01: Immigration groups, by Region and Devolved Administration
    Reg_02: Immigration groups, by Local Authority

    Please note that the totals across all pathways and per capita percentages for City of London and Isles of Scilly do not include Homes for Ukraine arrivals due to suppression, in line with published Homes for Ukraine figures.

    Previous tables

    https://assets.publishing.service.gov.uk/media/67bc89984ad141d90835347b/regional-and-local-authority-dataset-dec-2024.ods">Regional and local authority data on immigration groups, year ending December 2024 (ODS, 263 KB)

    https://assets.publishing.service.gov.uk/media/675c7e1a98302e574b91539f/regional-and-local-authority-dataset-sep-24.ods">Regional and local authority data on immigration groups, year ending September 2024 (ODS, 262 KB)

    https://assets.publishing.service.gov.uk/media/66bf74a8dcb0757928e5bd4c/regional-and-local-authority-dataset-jun-24.ods">Regional and local authority data on immigration groups, year ending June 2024 (ODS, 263 KB)

    https://assets.publishing.service.gov.uk/media/66c31766b75776507ecdf3a1/regional-and-local-authority-dataset-mar-24-third-edition.ods">Regional and local authority data on immigration groups, year ending March 2024 (third edition) (ODS, 91.4 KB)

    https://assets.publishing.service.gov.uk/media/65ddd9ebf1cab3001afc4795/regional-and-local-authority-dataset-dec-2023.ods">Regional and local authority data on immigration groups, year ending December 2023 (ODS, 91.6 KB)

    https://assets.publishing.service.gov.uk/media/65ddda05cf7eb10011f57fbd/regional-and-local-authority-dataset-sep-2023.ods">Regional and local authority data on immigration groups, year ending September 2023 (ODS, 91.7 KB)

    https://assets.publishing.service.gov.uk/media/655b39ce544aea000dfb301b/regional-and-local-authority-dataset-jun-2023.ods">Regional and local authority data on immigration groups, year ending June 2023 (ODS

  10. Data from: Social Bonds Across Immigration Generations and the Immigrant...

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Mar 12, 2025
    + more versions
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    National Institute of Justice (2025). Social Bonds Across Immigration Generations and the Immigrant School Enclave: A Multilevel Longitudinal Study of Student Violence, School Disorder, and Dropping Out, United States, 2002 [Dataset]. https://catalog.data.gov/dataset/social-bonds-across-immigration-generations-and-the-immigrant-school-enclave-a-multilevel--ac431
    Explore at:
    Dataset updated
    Mar 12, 2025
    Dataset provided by
    National Institute of Justicehttp://nij.ojp.gov/
    Area covered
    United States
    Description

    These data are part of NACJD's Fast Track Release and are distributed as they there received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except of the removal of direct identifiers. Users should refer to the accompany readme file for a brief description of the files available with this collections and consult the investigator(s) if further information is needed. This study consists of a secondary analysis of data from the Educational Longitudinal Study of 2002 (ELS) to investigate associations between immigration, misbehavior, victimization, disorder, and educational failure (i.e., dropping out). Six research questions that were addressed in this study include: do school social bonds vary across immigration generations? Second, is student violence (i.e., misbehavior and victimization) explained by school social bonds across generations? Third, are student violence and school disorder related to the children immigrants' likelihood of dropping out? Fourth, are strong school social bonds mitigating the likelihood of dropping out for the children of immigrants? Fifth, are immigrant school enclaves associated with increased school social bonds among adolescents, decreased student violence and school disorder, and lower levels of dropping out? Sixth, does the intersection of race, ethnicity, and gender moderate the relationship between student violence and school social bonds for the children of immigrants?There are no data files available with this study. Only the syntax file used by the researcher is provided.

  11. N

    Connecticut Age Cohorts Dataset: Children, Working Adults, and Seniors in...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
    + more versions
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    Neilsberg Research (2025). Connecticut Age Cohorts Dataset: Children, Working Adults, and Seniors in Connecticut - Population and Percentage Analysis // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/4b783c14-f122-11ef-8c1b-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 22, 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
    Connecticut
    Variables measured
    Population Over 65 Years, Population Under 18 Years, Population Between 18 and 64 Years, Percent of Total Population for Age Groups
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age cohorts. For age cohorts we divided it into three buckets Children ( Under the age of 18 years), working population ( Between 18 and 64 years) and senior population ( Over 65 years). 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

    The dataset tabulates the Connecticut population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Connecticut. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

    Key observations

    The largest age group was 18 to 64 years with a poulation of 2.21 million (61.52% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Content

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

    Age cohorts:

    • Under 18 years
    • 18 to 64 years
    • 65 years and over

    Variables / Data Columns

    • Age Group: This column displays the age cohort for the Connecticut population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
    • Population: The population for the age cohort in Connecticut is shown in the following column.
    • Percent of Total Population: The population as a percent of total population of the Connecticut is shown in the following column.

    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 Connecticut Population by Age. You can refer the same here

  12. o

    U.S. Customs and Border Protection Statistics and Summaries

    • openicpsr.org
    Updated Jul 1, 2020
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    Jacob Kaplan (2020). U.S. Customs and Border Protection Statistics and Summaries [Dataset]. http://doi.org/10.3886/E109522V4
    Explore at:
    Dataset updated
    Jul 1, 2020
    Dataset provided by
    University of Pennsylvania
    Authors
    Jacob Kaplan
    License

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

    Area covered
    United States
    Description
    Version 4 release notes:
    • Adds fiscal year 2019 data.
    • Please note than some pre-2019 values are different because the CPB has updated the data, not due to changes in the code to clean the data.
    Version 3 release notes:
    • Adds 2018 Apprehensions and Seizures Statistics
    • Adds 2018 Sector Profile
    • Adds data in the following formats: SPSS
    Version 2 release notes:
    • Fixes link to GitHub page. No data was changed.

    This is a collection of data from the U.S. Customs and Border Protection (CBP), primarily about apprehensions of illegal immigrants. All the data here was originally scraped from the PDFs available from the U.S. Customs and Border Protection's Stats and Summaries page on their website (https://www.cbp.gov/newsroom/media-resources/stats). I am in no way affiliated with CBP. What I did was take their public files and scrape the tables in the PDFs to make them more accessible. I then combined some tables together and reshaped the data to make it easier to use for analysis. The data is now available in R, Stata, and Excel (.csv) formats.

    The code used to scrape, clean, and test this data is available here: https://github.com/jacobkap/borderpatrol/

    Please note that all the data is in fiscal years (October-September), not in calendar years.

    There are 8 files and they all contains different information and some contains different number of years. Below is the file name, a brief description, the years of data available, and which variables it has, for each file.

    Apprehensions and Seizures Statistics 2011-2019
    This provides the annual number of seizures of drugs and weapons for aggregate border sectors between the years 2011 and 2019. Drug data also includes the amount of drugs seized (in pounds for all but heroin which is measured in ounces).
    • Sector
    • Fiscal year
    • Apprehensions from a special interest country
    • Rounds of ammunition
    • Total apprehensions
    • Pounds of cocaine
    • Number of cocaine seizures
    • Conveyances
    • Currency (in dollars)
    • Pounds of ecstasy
    • Number of ecstasy seizures
    • Number of firearms
    • Ounces of heroin
    • Number of heroin seizures
    • Pounds of marijuana
    • Number of marijuana seizures
    • Pounds of meth
    • Number of meth seizures
    • Pounds of other drugs (not cocaine, heroin, ecstasy, or marijuana)
    • Number of other drugs seizures ((not cocaine, heroin, ecstasy, or marijuana)
    • Apprehensions of illegal immigrants from countries other than Mexico

    Border Patrol Staffing 1992-2019
    The annual number of agents employed for each sector in the country between 1992 and 2019.
    • Sector
    • Fiscal year
    • Number of agents

    Family, Unaccompanied Children, and Total Apprehensions 2000-2019
    The monthly number of total apprehensions, family apprehensions (defined as "the number of individuals (either a child under 18 years old, parent, or legal guardian) apprehended with a family member by the U.S. Border Patrol."), or unaccompanied children (person under the age 18 traveling alone (without a family member)) for each sector in the country. Total apprehension data is available for the years 2000 to 2019. Family apprehension data is available for the years 2013 to 2019. Unaccompanied children data is available for the years 2010 to 2019.
    • Sector
    • Fiscal year
    • Month
    • Total apprehensions
    • Unaccompanied children apprehensions (fiscal years 2010-2019 only)
    • Family apprehensions (fiscal years 2013-2019 only)

    Other than Mexico Apprehensions 2000-2019
    <

  13. Estimated number of illegal immigrants in the U.S. by age and sex 2022

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). Estimated number of illegal immigrants in the U.S. by age and sex 2022 [Dataset]. https://www.statista.com/statistics/257783/estimated-number-of-illegal-immigrants-in-the-us-by-age-and-sex/
    Explore at:
    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2022
    Area covered
    United States
    Description

    In January 2022, it was estimated that about 1.85 million male illegal immigrants living in the United States were aged between 35 and 44 years old. In that same year, it was estimated that 1.52 million female illegal immigrants living in the U.S. were between 35 and 44 years old.

  14. N

    Salt Lake City, UT Age Cohorts Dataset: Children, Working Adults, and...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
    + more versions
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    Neilsberg Research (2025). Salt Lake City, UT Age Cohorts Dataset: Children, Working Adults, and Seniors in Salt Lake City - Population and Percentage Analysis // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/4ba19eb1-f122-11ef-8c1b-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 22, 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
    Utah, Salt Lake City
    Variables measured
    Population Over 65 Years, Population Under 18 Years, Population Between 18 and 64 Years, Percent of Total Population for Age Groups
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age cohorts. For age cohorts we divided it into three buckets Children ( Under the age of 18 years), working population ( Between 18 and 64 years) and senior population ( Over 65 years). 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

    The dataset tabulates the Salt Lake City population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Salt Lake City. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

    Key observations

    The largest age group was 18 to 64 years with a poulation of 144,235 (70.74% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Content

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

    Age cohorts:

    • Under 18 years
    • 18 to 64 years
    • 65 years and over

    Variables / Data Columns

    • Age Group: This column displays the age cohort for the Salt Lake City population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
    • Population: The population for the age cohort in Salt Lake City is shown in the following column.
    • Percent of Total Population: The population as a percent of total population of the Salt Lake City is shown in the following column.

    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 Salt Lake City Population by Age. You can refer the same here

  15. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Esri (2018). ACS Children in Immigrant Families Variables - Boundaries [Dataset]. https://demographics.roanokecountyva.gov/maps/71f0c22b02f54372a9e33bd5ec57fb79
Organization logo

ACS Children in Immigrant Families Variables - Boundaries

Explore at:
Dataset updated
Nov 27, 2018
Dataset authored and provided by
Esrihttp://esri.com/
Area covered
Description

This layer shows children by nativity of parents by age group. 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. This layer is symbolized to show the percentage of children who are in immigrant families (children who are foreign born or live with at least one parent who is foreign born). 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): B05009Data 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.

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