The high school graduation rate of Coamo Micro Area (PR) was 71.90% in 2016.

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 Coamo Micro Area (PR)

  • API

    Directorio Comprensivo de Escuelas Públicas, Puerto Rico 2018

    data.pr.gov | Last Updated 2018-06-13T18:47:07.000Z

    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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    MSME Country Indicators 2014

    finances.worldbank.org | Last Updated 2018-05-29T16:38:11.000Z

    MSME-CI presents secondary data collected by various institutions (statistical institutes, ministries, international organizations, small business promotion agencies, research institutions and others) using different methods (survey, census and others). Please read the “Description Note on the MSME Country Indicators 2014” along with the country specific comments in the Micro, Small, and Medium Enterprise Country Indicators before using the data. http://msmecountryindicators.smefinanceforum.org/description.html

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    MSME Finance Gap

    finances.worldbank.org | Last Updated 2018-02-16T06:45:13.000Z

    Micro, Small and Medium Enterprises (MSMEs) are one of the strongest drivers of economic development, innovation and employment. Access to finance is frequently identified as a critical barrier to growth for MSMEs.Creating opportunities for MSMEs in emerging markets is a key way to advance economic development and reduce poverty. The private and public sector can better address this matter if they have better insights about the magnitude and nature of the finance gap. Hence, sizing MSME finance gap is crucial for the governors, financiers and other private sector players to target high potential growth areas and hence more efficiently support MSME sector development. MSME finance gap is estimated as the difference between current supply and potential demand which can potentially be addressed by financial institutions. The MSME finance gap assumes that the firms in a developing country have the same willingness and ability to borrow as their counterparts in well- developed credit markets and operate in comparable institutional environments — and that financial institutions lend at similar intensities as their benchmarked counterparts. See http://www.smefinanceforum.org/data-sites/msme-finance-gap

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    Learning Improvement Information Center: Regional Indicators for Physical Resources

    mydata.iadb.org | Last Updated 2018-01-09T09:45:14.000Z

    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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    Learning Improvement Information Center: Regional Indicators for Financial Resources

    mydata.iadb.org | Last Updated 2018-01-09T09:44:41.000Z

    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>

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    IFC Enterprise Finance Gap Database - Raw Data

    finances.worldbank.org | Last Updated 2016-09-17T00:18:24.000Z

    In 2010, IFC conducted a study to estimate the number of micro, small, and medium enterprises (MSMEs) in the world, and to determine the degree of access to credit and use of deposit accounts for formal and informal MSMEs. The study used primarily data from the World Bank Enterprise Surveys (ES). In 2011 the data was revisited as new enterprise surveys became available. The resulting database, IFC Enterprise Finance Gap Database, covers 177 countries.

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    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>

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    City Council Election 2013

    data.cambridgema.gov | Last Updated 2016-05-24T19:43:12.000Z

    This dataset contains the original final vote tally from 2013 Cambridge City Council election. The City Council comprises nine members and is the Cambridge's lawmaking body. Proportional Representation (PR) is the method by which voters in Cambridge elect members of the City Council and School Committee. In a PR election you may vote for as many of the candidates listed on the ballot as you wish, but you must rank the candidates in order of preference. This ensures minority representation with majority control. The vote count begins with the sorting of ballots by the first preference shown on each valid ballot. That is the NUMBER 1 vote on each ballot. This is generally known as the "First Count". Any candidates who reach the necessary quota with Number 1 votes are declared elected. During the 2013 City Council Election, the quota was 1,775 votes. Any extra ballots they receive beyond the quota are redistributed to the candidates marked next in preference (the number 2 preference) on those excess ballots. The count continues with the elimination of those candidates receiving fewer than fifty votes in the first count. Their ballots are redistributed to the other candidates according to the next preference marked. After each distribution, the candidate now having the lowest number of votes is eliminated and his/her ballots redistributed to the next indicated preference (number 2,3,4 etc.) As candidates reach the quota through the addition of redistributed ballots to their totals, they are declared elected and no further ballots are transferred to them. This process continues until all candidates have been eliminated except the nine winners for City Council. To learn more, please visit: https://www.cambridgema.gov/election/programsandservices/cambridgemunicipalelections

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    2011 National Household Survey (NHS) - Occupation by Census Tracts, Dissemination Areas, Wards and Urban Service Areas

    data.strathcona.ca | Last Updated 2016-12-13T22:25:18.000Z

    The data shows labour force frequency distribution by National Occupational Classification (NOC) and North American Industry Classification System (NAICS) in four different boundary types. The data was provided by Statistics Canada but it has been sectioned and transposed. The fields come from NHS profile reports of Statistics Canada and some information may not be available for all the boundaries. The fields have been arranged in the same order as NHS profile reports. To see a more complete description of the fields click on this link: http://www12.statcan.gc.ca/nhs-enm/2011/dp-pd/prof/details/Page.cfm?Lang=E&Geo1=CSD&Code1=4811052&Data=Count&SearchText=Strathcona%20County&SearchType=Begins&SearchPR=01&A1=All&B1=All&GeoLevel=PR&GeoCode=10#tabs1

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    Behavioral Risk Factor Data: Tobacco Use (2011 to present)

    chronicdata.cdc.gov | Last Updated 2018-07-31T11:35:05.000Z

    2011-2016. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. BRFSS Survey Data. The BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. The data for the STATE System were extracted from the annual BRFSS surveys from participating states. Tobacco topics included are cigarette smoking status, cigarette smoking prevalence by demographics, cigarette smoking frequency, and quit attempts. NOTE: these data are not to be compared with BRFSS data collected 2010 and prior, as the methodologies were changed. Please refer to the FAQs / Methodology sections for more details.