4 datasets found
  1. c

    Racial Equity Current Conditions for SCAG Region

    • hub.scag.ca.gov
    • hub.arcgis.com
    Updated Feb 28, 2025
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    rdpgisadmin (2025). Racial Equity Current Conditions for SCAG Region [Dataset]. https://hub.scag.ca.gov/items/f262fb221d3f4e2a9918d748ba8e1ad4
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    Dataset updated
    Feb 28, 2025
    Dataset authored and provided by
    rdpgisadmin
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    This dataset contains several demographic and transportation-related statistics by SCAG County and by race/ethnicity. Demographic data primarily relies on data from the U.S. Census Bureau American Community Survey 5-Year Public User Microdata Sample, 2018-2022. Other data sources include SCAG Connect SoCal 2024, Healthy Places Index 3.0, U.S. Department of Housing and Urban Development Point-In-Time estimates, National Equity Atlas, and Transportation Injury Mapping System. Due to the differences in racial/ethnicity groups reported by each of these sources, this dataset provides all possible race/ethnicity group names and enters a "-1" value where information is not provided for that source. Updates to this dataset are expected annually, dependent on the data source. For all data sourced from Connect SoCal 2024, updates will be made with the adoption of the next Regional Transportation Plan/Sustainable Communities Strategy. For questions about methodology and updates, please e-mail environmentaljustice@scag.ca.gov. With SCAG's Racial Equity Baseline Conditions Report, this dataset is used to help stakeholders develop a deeper understanding of disparities and monitor progress toward addressing them by highlighting past transportation and housing policies and practices and providing a snapshot of current existing inequitable conditions. The latest version of the Racial Equity Baseline Conditions Report (2022) is available here: https://scag.ca.gov/sites/main/files/file-attachments/2022racialequitybaselineconditionsreport_final.pdf

  2. f

    Self-reported characteristics, and prevalence of chronic worry about racial...

    • plos.figshare.com
    xls
    Updated May 30, 2023
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    Paula Braveman; Katherine Heck; Susan Egerter; Tyan Parker Dominguez; Christine Rinki; Kristen S. Marchi; Michael Curtis (2023). Self-reported characteristics, and prevalence of chronic worry about racial discrimination (chronic worry) by those characteristics, among eligible U.S.-born non-Latino Black and White women with singleton live births in California, MIHA 2011–2014. [Dataset]. http://doi.org/10.1371/journal.pone.0186151.t001
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    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Paula Braveman; Katherine Heck; Susan Egerter; Tyan Parker Dominguez; Christine Rinki; Kristen S. Marchi; Michael Curtis
    License

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

    Area covered
    California
    Description

    Self-reported characteristics, and prevalence of chronic worry about racial discrimination (chronic worry) by those characteristics, among eligible U.S.-born non-Latino Black and White women with singleton live births in California, MIHA 2011–2014.

  3. f

    Prevalence ratios comparing PTB prevalence among U.S.-born non-Latino Black...

    • plos.figshare.com
    xls
    Updated Jun 3, 2023
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    Paula Braveman; Katherine Heck; Susan Egerter; Tyan Parker Dominguez; Christine Rinki; Kristen S. Marchi; Michael Curtis (2023). Prevalence ratios comparing PTB prevalence among U.S.-born non-Latino Black relative to White women with singleton live births in California, before and after adjustment for chronic worry about racial discrimination and covariates, MIHA 2011–2014. [Dataset]. http://doi.org/10.1371/journal.pone.0186151.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Paula Braveman; Katherine Heck; Susan Egerter; Tyan Parker Dominguez; Christine Rinki; Kristen S. Marchi; Michael Curtis
    License

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

    Area covered
    California
    Description

    Prevalence ratios comparing PTB prevalence among U.S.-born non-Latino Black relative to White women with singleton live births in California, before and after adjustment for chronic worry about racial discrimination and covariates, MIHA 2011–2014.

  4. B

    Navigating Gender-based Inequity: The Role of Supervisory Support in Career...

    • borealisdata.ca
    • search.dataone.org
    Updated Feb 18, 2025
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    Nitya Rani Balla (2025). Navigating Gender-based Inequity: The Role of Supervisory Support in Career Satisfaction Among South Asian Immigrants in Canada [Dataset]. http://doi.org/10.5683/SP3/SHKNUG
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 18, 2025
    Dataset provided by
    Borealis
    Authors
    Nitya Rani Balla
    License

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

    Area covered
    Canada
    Dataset funded by
    Centre for Research and Innovation, Fanshawe College
    Description

    This study aims to examine the role of gender-based inequity on the workplace experiences of South Asian immigrants in Canada. Specifically, it investigates the differences in gender-based inequity at work experienced by South Asian immigrant women and men, the level of supervisory support they receive, and the impact of these factors on their career satisfaction.

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Click to copy link
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rdpgisadmin (2025). Racial Equity Current Conditions for SCAG Region [Dataset]. https://hub.scag.ca.gov/items/f262fb221d3f4e2a9918d748ba8e1ad4

Racial Equity Current Conditions for SCAG Region

Explore at:
Dataset updated
Feb 28, 2025
Dataset authored and provided by
rdpgisadmin
License

MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically

Description

This dataset contains several demographic and transportation-related statistics by SCAG County and by race/ethnicity. Demographic data primarily relies on data from the U.S. Census Bureau American Community Survey 5-Year Public User Microdata Sample, 2018-2022. Other data sources include SCAG Connect SoCal 2024, Healthy Places Index 3.0, U.S. Department of Housing and Urban Development Point-In-Time estimates, National Equity Atlas, and Transportation Injury Mapping System. Due to the differences in racial/ethnicity groups reported by each of these sources, this dataset provides all possible race/ethnicity group names and enters a "-1" value where information is not provided for that source. Updates to this dataset are expected annually, dependent on the data source. For all data sourced from Connect SoCal 2024, updates will be made with the adoption of the next Regional Transportation Plan/Sustainable Communities Strategy. For questions about methodology and updates, please e-mail environmentaljustice@scag.ca.gov. With SCAG's Racial Equity Baseline Conditions Report, this dataset is used to help stakeholders develop a deeper understanding of disparities and monitor progress toward addressing them by highlighting past transportation and housing policies and practices and providing a snapshot of current existing inequitable conditions. The latest version of the Racial Equity Baseline Conditions Report (2022) is available here: https://scag.ca.gov/sites/main/files/file-attachments/2022racialequitybaselineconditionsreport_final.pdf

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