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The college graduation rate of Androscoggin County, ME was 22.10% in 2017.

Graduation Rates

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

1. ODN datasets and APIs are subject to change and may differ in format from the original source data in order to provide a user-friendly experience on this site.

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Education and Graduation Rates Datasets Involving Androscoggin County, ME

  • API

    Lifeline Companies Near Me

    opendata.usac.org | Last Updated 2019-02-22T12:05:45.000Z

    This dataset provides the service type and contact information for self-reported Eligible Telecommunication Carriers (ETCs) offering Lifeline services by zip code, city, county, and state. If you need assistance with a Lifeline application, are experiencing a Lifeline service issue, or have a problem with your Lifeline provider, please visit our help page: https://www.lifelinesupport.org/ls/help/default.aspx

  • API

    Education Names and Addresses (EdNA) Secondary Current Education

    data.pa.gov | Last Updated 2018-09-21T17:19:59.000Z

    EdNA (Education Names and Addresses) can be used to find name, address, administrator, and related information about the educational entities that PDE serves. These entities include school districts and their schools, intermediate units, career and technical centers, charter schools, nonpublic and private schools, higher education institutions, and many more.

  • API

    Iowa School Building Directory

    data.iowa.gov | Last Updated 2018-03-26T15:45:34.000Z

    This dataset contains a directory of both public and nonpublic school buildings for the current school year. Mailing addresses, phone and fax numbers, physical location, grades at school, and school administrator names and titles can be found in the dataset.

  • API

    E-rate Supplemental Entity Information

    opendata.usac.org | Last Updated 2019-02-22T09:45:53.000Z

    This data set contains E-rate Productivity Center (EPC) information about schools, libraries, school districts, library systems, consortia, and non-instructional facilities (NIFs). For Annexes information, please refer to the "E-rate Supplemental Entity Information: Annexes" dataset.

  • API

    AMS Pasadena Main Data

    data.transportation.gov | Last Updated 2018-11-09T20:33:53.000Z

    The data in this data environment was collected from the Pasadena, California testbed, namely I-210, SR 134, and nearby arterials. The source of these data is from the Caltrans – Performance Measurement System (PeMS). Speed data from this dataset were used to derive the freeway travel time. There are three separate text files with one for each operational condition.

  • API

    Main Libraries, Branches, and Bookmobiles: FY 2013 Public Libraries Survey (Outlet)

    data.imls.gov | Last Updated 2019-02-15T19:38:53.000Z

    Find key information on main libraries, branches, and bookmobiles, including FSCS IDs and location.<br><br>These data include imputed values for libraries that did not submit information in the FY 2013 data collection. Imputation is a procedure for estimating a value for a specific data item where the response is missing.<br><br>Download PLS data files to see imputation flag variables or learn more on the imputation methods used in FY 2013 at <a href="https://www.imls.gov/research-evaluation/data-collection/public-libraries-survey/explore-pls-data/pls-data">https://www.imls.gov/research-evaluation/data-collection/public-libraries-survey/explore-pls-data/pls-data</a>

  • API

    Public Libraries Survey 2016: Main Libraries, Branches, and Bookmobiles (Outlets)

    data.imls.gov | Last Updated 2018-04-20T21:17:28.000Z

    Find key information on main libraries, branches, and bookmobiles, including FSCS IDs, square footage, locale code, and location. These data include imputed values for libraries that did not submit information in the FY 2016 data collection. Imputation is a procedure for estimating a value for a specific data item where the response is missing. Download PLS data files to see imputation flag variables or learn more on the imputation methods used in FY 2016 at https://www.imls.gov/research-evaluation/data-collection/public-libraries-survey/explore-pls-data/pls-data

  • API

    Prevention Agenda Partner Contact Information

    health.data.ny.gov | Last Updated 2018-03-22T20:08:11.000Z

    This dataset contains the partners working on prevention agenda priority and focus areas. The dataset is organized by county, priority area and focus area. Each partner’s address, phone number and in many cases e-mail contact are provided.The Prevention Agenda 2013-17 is New York State’s health improvement plan for 2013 through 2017. This plan involves a unique mix of organizations including local health departments, health care providers, health plans, community based organizations, advocacy groups, academia, employers as well as state agencies, schools, and businesses whose activities can influence the health of individuals and communities and address health disparities. This unprecedented collaboration is designed to demonstrate how communities across the state can work together to improve the health and quality of life for all New Yorkers. The purpose of the dataset is to provide the public, health providers and tentative DOH partners with some basic information about who in NYS is working on prevention agenda related items.

  • API

    County of San Diego Preparedness Study (2017)

    data.sandiegocounty.gov | Last Updated 2018-09-21T23:13:21.000Z

    The 2017 San Diego County Preparedness Survey, commissioned by the County of San Diego Office of Emergency Services and developed and conducted by Integrated Solutions Consulting, surveyed a random sample of 60,000 San Diego County residents over the age of 18. 1,075 residents completed the survey to offer results that were within a 95% confidence level with a confidence interval of 3%.

  • API

    Traffic Control Device Inventory

    data.ny.gov | Last Updated 2018-08-07T22:29:21.000Z

    The New York State Department of Transportation (NYSDOT) traffic control devices data set is a list of all of the traffic devices that are either owned or maintained by NYSDOT. The devices included are of various types such as traffic signals, street lights, beacons, flashers, navigational lights, Intelligent Transportation Systems (ITS), etc. Devices in the 5 boroughs of New York City are not owned or maintained by NYSDOT and therefore not represented in this dataset