Empowered by Tyler Technologies
Refine Results

The population density of Schenectady, NY was 6,075 in 2018.

Population Density

Population Density is computed by dividing the total population by Land Area Per Square Mile.

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.

3. If you use this derived data in an app, we ask that you provide a link somewhere in your applications to the Open Data Network with a citation that states: "Data for this application was provided by the Open Data Network" where "Open Data Network" links to http://opendatanetwork.com. Where an application has a region specific module, we ask that you add an additional line that states: "Data about REGIONX was provided by the Open Data Network." where REGIONX is an HREF with a name for a geographical region like "Seattle, WA" and the link points to this page URL, e.g. http://opendatanetwork.com/region/1600000US5363000/Seattle_WA

Geographic and Population Datasets Involving Schenectady, NY

  • API

    Lottery Cash 4 Life Winning Numbers: Beginning 2014

    data.ny.gov | Last Updated 2024-05-30T06:00:58.000Z

    Go to http://on.ny.gov/1xRIvPz on the New York Lottery website for past Cash 4 Life results and payouts.

  • API

    Lottery NY Lotto Winning Numbers: Beginning 2001

    data.ny.gov | Last Updated 2024-05-30T09:30:54.000Z

    Go to http://on.ny.gov/1BbsR6n on the New York Lottery website for past NY Lotto results and payouts.

  • API

    Lottery Take 5 Winning Numbers

    data.ny.gov | Last Updated 2024-05-30T09:30:57.000Z

    Go to http://on.ny.gov/1DYGlWJ on the New York Lottery website for past Take 5 results and payouts.

  • API

    Lottery Mega Millions Winning Numbers: Beginning 2002

    data.ny.gov | Last Updated 2024-05-29T06:00:52.000Z

    Go to http://on.ny.gov/1J8tPSN on the New York Lottery website for past Mega Millions results and payouts.

  • API

    Lottery Powerball Winning Numbers: Beginning 2010

    data.ny.gov | Last Updated 2024-05-30T06:00:57.000Z

    Go to http://on.ny.gov/1GpWiHD on the New York Lottery website for past Powerball results and payouts.

  • API

    Lottery Quick Draw Winning Numbers: Beginning 2013

    data.ny.gov | Last Updated 2024-05-30T09:30:59.000Z

    Go to http://on.ny.gov/1BbsWqI on the New York Lottery website for past Quick Draw results and payouts.

  • API

    Automobiles Annual Imports and Exports Through Port Authority of NY NJ Maritime Terminals: Beginning 2000

    data.ny.gov | Last Updated 2019-06-10T17:59:14.000Z

    This dataset represents the total number of Automobiles Imported and Exported annually through maritime terminals located within Port Authority property in the Port of New York and New Jersey in vehicle units beginning 2000

  • API

    Lottery Daily Numbers/Win-4 Winning Numbers: Beginning 1980

    data.ny.gov | Last Updated 2024-05-30T09:30:59.000Z

    Go to http://on.ny.gov/1Cx6zvs or http://on.ny.gov/1KYjE6X on the New York Lottery website for past Daily Numbers/Win-4 results and payouts.

  • API

    Gasoline Retail Prices Weekly Average by Region: Beginning 2007

    data.ny.gov | Last Updated 2024-05-24T17:42:50.000Z

    Gasoline retail prices weekly average by region dataset provides the weekly average retail gasoline prices for New York State and sixteen New York metropolitan regions in U.S. dollars per gallon. Data is a weekly average from October 2007 through current. Some metropolitan regions begin in 2017. Average daily retail gasoline prices are collected from the American Automobile Association (AAA) Daily Fuel Gauge Report. The AAA Daily Fuel Gauge Report prices are averaged to produce a weekly average retail price for New York State and each metropolitan region. The New York State metropolitan regions in the dataset are Albany (Albany-Schenectady-Troy), Batavia, Binghamton, Buffalo (Buffalo-Niagara Falls), Dutchess (Dutchess-Putnam), Elmira, Glens Falls, Ithaca, Kingston, Nassau (Nassau-Suffolk), New York City, Rochester, Syracuse, Utica (Utica-Rome), Watertown (Watertown-Fort Drum), and White Plains. The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit https://nyserda.ny.gov or follow us on Twitter, Facebook, YouTube, or Instagram.

  • API

    Total Income And Tax Liability By Place Of Residence: Beginning Tax Year 1999

    data.ny.gov | Last Updated 2021-12-31T17:19:29.000Z

    The Department of Taxation and Finance annually produces a data (study) file and provides a report of statistical information on New York State personal income tax returns that were timely filed. Timely filing means that the tax return was delivered to the Department on or before the due date of the tax return. The data are from full-year resident, full-year nonresident, and part-year resident returns. This dataset defines individuals filing a resident tax return as full-year residents and individuals filing a nonresident tax return are defined as either a full- year nonresident or a part-year resident.Data presented in this dataset provide the major income tax structure components by size of income. The components include income, deductions, dependent exemptions, and tax liability. The data also provides this information by size of income and by the filer’s permanent place of residence (county, state or country). For a more detailed explanation on the determination of residency and components of income see the attachment: NYSTF_PlaceOfResidence_Introduction.Researchers agree to: Use the data for statistical reporting an analysis only. The author will include a disclaimer that states any analyses, interpretations or conclusions were reached by the author and not the New York State Department of Taxation and Finance.