The population count of Sandpoint Micro Area (ID) was 41,389 in 2016.

Population

Population Change

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.

2. To build your own apps using this data, see the ODN Dataset and API links.

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Demographics and Population Datasets Involving Sandpoint Micro Area (ID)

  • API

    Public Libraries Survey 2016: Library Systems (Administrative Entities)

    data.imls.gov | Last Updated 2018-04-20T21:47:48.000Z

    Find key information on library systems around the United States. 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

    Affordable Housing Inventory (AHI)

    data.austintexas.gov | Last Updated 2018-06-20T20:41:41.000Z

    The Affordable Housing Inventory includes all income-restricted affordable units in developments funded through the Rental Housing Development Assistance Program, funded through the Acquisition and Development Program since 2007, and incentivized through Development Incentive Programs that are currently affordable. Projects within the AHI have either already been completed or are currently being developed. No warranty is made by the City of Austin regarding the specific accuracy or completeness of this dataset.

  • 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

    Crime Data

    data.seattle.gov | Last Updated 2018-07-22T09:10:50.000Z

    This data represents crime reported to the Seattle Police Department (SPD). Each row contains the record of a unique event where at least one criminal offense was reported by a member of the community or detected by an officer in the field. This data is the same data used in meetings such as SeaStat (https://www.seattle.gov/police/information-and-data/seastat) for strategic planning, accountability and performance management. These data contain offenses and offense categorization coded to simulate the standard reported to the FBI under the National Incident Based Reporting System (NIBRS) and used to generate Uniform Crime Report (UCR) summary statistics. As these records evolve, daily and are continually refreshed, they will not match official UCR statistics. They represent a more accurate state of the record. Previous versions of this data set have withheld approximately 40% of crimes. This updated process includes all records of crime reports logged in the Departments Records Management System (RMS) since 2008, which are tracked as part of the SeaStat process. In an effort to safeguard the privacy of our community, offense reports will only be located to the “beat” level. Location specific coordinates will no longer be provided. Beats are the most granular unit of management used for patrol deployment. To learn more about patrol deployment, please visit: https://www.seattle.gov/police/about-us/about-policing/precinct-and-patrol-boundaries. In addition to the Departments patrol deployment areas, these data contain the “Neighborhood” where the crime occurred, if available. This coding is used to align crime data with the Micro Community Policing Plan (MCPP). For more information see: https://www.seattle.gov/police/community-policing/about-mcpp. As with any data, certain condition and qualifications apply: 1) These data are refreshed, daily and represent the most accurate, evolved state of the record. 2) Due to quality control processes, these data will lag between 2 and 6 weeks. Most changes will occur within that record and reports logged in the last 2 weeks should be treated as volatile. Analysts may wish to remove these records from their analysis. 3) Not all offenses are reported here, only the primary offense as determined by the “Hierarchy Rule.” For more information on NIBRS and UCR, see the FBI (https://ucr.fbi.gov/nibrs-overview). 4) This dataset contains records of offenses that occurred prior to “go-live” of the existing RMS. Records are queried based on the full population of data and are not constrained by “Occurred Date.” We invite you to engage these data, ask questions and explore.

  • API

    ENERGY STAR Certified Enterprise Servers

    data.energystar.gov | Last Updated 2018-07-22T13:15:34.000Z

    Certified models meet all ENERGY STAR requirements as listed in the Version 2.1 ENERGY STAR Program Requirements for Enterprise Servers that are effective as of December 16, 2013. A detailed listing of key efficiency criteria are available at https://cmadmin.energystar.gov/products/office_equipment/enterprise_servers.