4 datasets found
  1. Student debt from all sources, by province of study and level of study

    • www150.statcan.gc.ca
    • datasets.ai
    • +2more
    Updated Mar 22, 2024
    + more versions
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    Government of Canada, Statistics Canada (2024). Student debt from all sources, by province of study and level of study [Dataset]. http://doi.org/10.25318/3710003601-eng
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    Dataset updated
    Mar 22, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Statistics on student debt, including the average debt at graduation, the percentage of graduates who owed large debt at graduation and the percentage of graduates with debt who had paid it off at the time of the interview, are presented by the province of study and the level of study. Estimates are available at five-year intervals.

  2. H

    Replication Data for: Student Loan Debt and Participation in American...

    • dataverse.harvard.edu
    Updated Mar 28, 2025
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    David Macdonald (2025). Replication Data for: Student Loan Debt and Participation in American National Elections [Dataset]. http://doi.org/10.7910/DVN/K584OB
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 28, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    David Macdonald
    License

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

    Description

    Includes Appendix, Stata Do File, and Replication Data associated with the PRQ paper.

  3. Survey of Consumer Finances 2019

    • kaggle.com
    Updated Nov 5, 2024
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    Zaid Ullah (2024). Survey of Consumer Finances 2019 [Dataset]. https://www.kaggle.com/datasets/syntheticprogrammer/survey-of-consumer-finances-2022
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 5, 2024
    Dataset provided by
    Kaggle
    Authors
    Zaid Ullah
    License

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

    Description

    The Survey of Consumer Finances (SCF) dataset, provided by the Federal Reserve, offers comprehensive insights into the financial condition of U.S. households. This dataset is invaluable for researchers, policymakers, and analysts interested in understanding consumer behavior, wealth distribution, and economic trends in the United States.

    The SCF dataset includes detailed information on household income, assets, liabilities, and various demographic characteristics. It is collected every three years and serves as a crucial resource for analyzing the financial well-being of American families.

    Key Features: Income Data: Information on various sources of income, including wages, investments, and government assistance. Asset Ownership: Detailed accounts of household assets, such as real estate, retirement accounts, stocks, and other investments. Liabilities:Comprehensive details on household debts, including mortgages, credit card debts, and student loans. Demographics: Data covering age, education, race, and family structure, allowing for nuanced analysis of financial trends across different segments of the population.

    Use Cases: Economic research and analysis, Policy formulation and assessment, Understanding wealth inequality, Consumer behavior studies

    Citing the Dataset:

    When using this dataset in your research, please ensure to cite the Federal Reserve Board and the SCF as the original source.

    Note: The dataset is intended for educational and research purposes. Users are encouraged to adhere to ethical guidelines when analyzing and interpreting the data.

  4. a

    Arizona State Loan Repayment Program Sites

    • hub.arcgis.com
    • azgeo-open-data-agic.hub.arcgis.com
    • +1more
    Updated Jan 31, 2023
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    Arizona Department of Health Services (2023). Arizona State Loan Repayment Program Sites [Dataset]. https://hub.arcgis.com/datasets/afd95e527c1d4d179d4aa3f932d4edd7
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    Dataset updated
    Jan 31, 2023
    Dataset authored and provided by
    Arizona Department of Health Services
    Area covered
    Arizona
    Description

    The State Loan Repayment Program helps HRSA provide grant funding for states and territories to operate their own loan repayment programs. Through SLRP each state and territory can design programs that address the most pressing health care needs of their residents. Primary medical, mental/behavioral, and dental clinicians who receive awards through SLRP-funded programs pay off their student debt in exchange for working in areas with provider shortages.HRSA programs provide equitable health care to people who are geographically isolated and economically or medically vulnerable. This includes programs that deliver health services to people with HIV, pregnant people, mothers and their families, those with low incomes, residents of rural areas, American Indians and Alaska Natives, and those otherwise unable to access high-quality health care. HRSA programs also support health infrastructure, including through training of health professionals and distributing them to areas where they are needed most, providing financial support to health care providers, and advancing telehealth. Location and data was provided by the Health Resources and Services Administration in October 2022. Update Frequency: Annual

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Government of Canada, Statistics Canada (2024). Student debt from all sources, by province of study and level of study [Dataset]. http://doi.org/10.25318/3710003601-eng
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Student debt from all sources, by province of study and level of study

3710003601

Explore at:
Dataset updated
Mar 22, 2024
Dataset provided by
Statistics Canadahttps://statcan.gc.ca/en
Area covered
Canada
Description

Statistics on student debt, including the average debt at graduation, the percentage of graduates who owed large debt at graduation and the percentage of graduates with debt who had paid it off at the time of the interview, are presented by the province of study and the level of study. Estimates are available at five-year intervals.

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