The college graduation rate of Carolina, PR was 31.80% in 2017.

Graduation Rates

Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API - Notes:

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Education and Graduation Rates Datasets Involving Carolina, PR

  • API

    Forsyth Futures: Educational Attainment, by Race, 2014

    www.forsythfutures.org | Last Updated 2016-02-16T16:37:34.000Z

    This dataset is for 2014 only. It includes a racial breakdown of the percentage of residents with associate's degrees or higher for the following geographical areas: United States, North Carolina, and 5 major urban NC counties. The estimates here refer to populations age 25+ with at least an Associate's degree.

  • API

    Forsyth Futures: Educational Attainment by Degree, 2014

    www.forsythfutures.org | Last Updated 2019-02-15T01:08:08.000Z

    This dataset includes information on the educational attainment of those living in North Carolina and NC's major urban counties (Durham, Forsyth, Guilford, Mecklenburg and Wake). The only year included in the dataset is 2014.

  • API

    Forsyth Futures: 3rd Grade Reading, 2014 and 2015

    www.forsythfutures.org | Last Updated 2019-02-15T01:10:15.000Z

    The percentage of students in 3rd grade who are on-grade reading level or above from the 2013-14 and 2014-15 school years.

  • API

    Directorio Comprensivo de Escuelas Públicas, Puerto Rico 2018

    data.pr.gov | Last Updated 2019-02-15T20:13:33.000Z

    Este directorio contiene información a nivel de escuelas públicas en Puerto Rico. Además de las características básicas de la escuela como lo es por ejemplo, nombre de la escuela, código único, distrito, dirección, coordenadas geoespaciales, nivel, y grados, este directorio contiene datos sobre matrícula, aprovechamiento académico (resultados META-PR) y nivel de pobreza de sus estudiantes. Otro aspecto que presenta este directorio es información sobre los posibles cambios de la escuela luego de los procesos de consolidación. Actualizado el 13 de junio de 2018.

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    Forsyth Futures: Infant Health, Low Birthweight Rate with Educational Attainment of Mother, Forsyth County, 2014

    www.forsythfutures.org | Last Updated 2019-02-15T01:08:12.000Z

    This dataset includes rate of babies born at a low weight categorized by the highest level of education attained by the mother.

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    Forsyth Futures: 11th Grade ACT, 2013-2015

    www.forsythfutures.org | Last Updated 2019-02-15T01:09:50.000Z

    This dataset includes information about the percent of students in varying demographic categories that reach proficiency level for the ACT. This dataset includes the following counties: Durham, Forsyth, Guilford, Mecklenburg, and Wake.

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    CIMA: Regional Indicators of Physical Resources

    mydata.iadb.org | Last Updated 2019-03-21T21:47:08.000Z

    This dataset consists of statistics on basic infrastructure resources and other resources that support student learning within schools. Main indicators: access to water, bathrooms, electricity, phone, internet, art rooms, auditoriums, library, gymnasium, science lab, and number of books per student. Click here to access the data: https://mydata.iadb.org/d/b2gd-27ej

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    Number Of People Aged 25 Older With High School Diploma Or Equivalent All States

    opendata.utah.gov | Last Updated 2014-10-31T18:32:26.000Z

    Number Of People Aged 25 Older With High School Diploma Or Equivalent All States

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    CIMA: Regional Indicators for Financial Resources

    mydata.iadb.org | Last Updated 2019-03-21T21:53:32.000Z

    This dataset consists of statistics measuring the financial resources available to fund the education system. Main indicators: Government expenditure on education as % of GDP, in PPP, as % of total government expenditure, expenditure on salaries as % of education expenditure, expenditure on education per student as % of pc gdp. <br><br><b>Click here to access the data: https://mydata.iadb.org/d/y35v-i2ux/</b></br></br>

  • API

    State Libraries Survey, FY 2016, Part 2: SLAA-Provided Services

    data.imls.gov | Last Updated 2018-01-30T23:43:02.000Z

    Find key information on state library agencies.<br><br>These data include imputed values for state libraries that did not submit information in this data collection.<br><br>Imputation is a procedure for estimating a value for a specific data item where the response is missing.<br><br>Download SLAA data files to see imputation flag variables or learn more on the imputation methods at <a href="https://www.imls.gov/research-evaluation/data-collection/state-library-administrative-agency-survey"> https://www.imls.gov/research-evaluation/data-collection/state-library-administrative-agency-survey</a>