The population density of Augusta, ME was 338 in 2018. The population density of Plattsburgh, NY was 3,889 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 Plattsburgh, NY or Augusta, ME

  • API

    NYCHA Development Data Book

    data.cityofnewyork.us | Last Updated 2024-05-13T15:53:04.000Z

    Contains the main body of the "Development Data Book". The Development Data Book lists all of the Authority's Developments alphabetically and includes information on the development identification numbers, program and construction type, number of apartments and rental rooms, population, number of buildings and stories, street boundaries, and political districts.

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    College Access Challenge Grant Program (CACGP) Subgrantees: 2008-2016

    data.ny.gov | Last Updated 2019-06-10T18:01:19.000Z

    The overall goal of New York's College Access Challenge Grant (CACG) is to increase the number of low-income, minority and underserved students who are prepared to apply for, get accepted to and succeed in college, with a priority on families living below the poverty-level.This data includes the names of the organizations that received CACGP sub-grants during the Award Period, the number of students and families that received (or will receive) services from the sub-grantee, and the grant amount awarded to each organization.

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    Directory of Developmental Disabilities Service Provider Agencies

    data.ny.gov | Last Updated 2024-04-16T19:41:49.000Z

    The dataset contains the address and phone number information for Voluntary Sector providers of the following OPWDD supports and services: INTERMEDIATE CARE FACILITIES (ICF) INDIVIDUAL RESIDENTIAL ALTERNATIVE (IRA) FAMILY CARE SELF-DIRECTION SERVICES INDIVIDUAL SUPPORT SERVICES (ISS) DAY HABILITATION PREVOCATIONAL SUPPORTED EMPLOYMENT ENROLLMENTS COMMUNITY HABILITATION FAMILY SUPPORT SERVICES DEVELOPMENTAL CENTERS AND SPECIAL POPULATION SERVICES

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    NYSERDA Low- to Moderate-Income New York State Census Population Analysis Dataset: Average for 2013-2015

    data.ny.gov | Last Updated 2019-11-15T22:30:02.000Z

    How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov. The Low- to Moderate-Income (LMI) New York State (NYS) Census Population Analysis dataset is resultant from the LMI market database designed by APPRISE as part of the NYSERDA LMI Market Characterization Study (https://www.nyserda.ny.gov/lmi-tool). All data are derived from the U.S. Census Bureau’s American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS) files for 2013, 2014, and 2015. Each row in the LMI dataset is an individual record for a household that responded to the survey and each column is a variable of interest for analyzing the low- to moderate-income population. The LMI dataset includes: county/county group, households with elderly, households with children, economic development region, income groups, percent of poverty level, low- to moderate-income groups, household type, non-elderly disabled indicator, race/ethnicity, linguistic isolation, housing unit type, owner-renter status, main heating fuel type, home energy payment method, housing vintage, LMI study region, LMI population segment, mortgage indicator, time in home, head of household education level, head of household age, and household weight. The LMI NYS Census Population Analysis dataset is intended for users who want to explore the underlying data that supports the LMI Analysis Tool. The majority of those interested in LMI statistics and generating custom charts should use the interactive LMI Analysis Tool at https://www.nyserda.ny.gov/lmi-tool. This underlying LMI dataset is intended for users with experience working with survey data files and producing weighted survey estimates using statistical software packages (such as SAS, SPSS, or Stata).

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    Daily Vehicle Miles of Travel: Beginning 1985

    data.ny.gov | Last Updated 2022-02-15T22:29:27.000Z

    VMT is an estimate of travel based on traffic counts taken along the roads in New York State. Each year travel is estimated as part of the annual report to the Federal Highway Administration through the Highway Performance Monitoring System software application. The VMT estimate is stratified by the roadway Functional Classification of Principal Arterials, Minor Arterials, Collectors, and Local Roads & Street. The VMT data from 1985 through the current year is available.

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    Real Property Assessment Equity Statistics By Municipality: Beginning 2004

    data.ny.gov | Last Updated 2024-03-05T19:24:08.000Z

    The Department of Taxation and Finance annually produces a report documenting the results of the Market Value Survey pertaining to property assessment. The report contains the staff findings regarding assessment equity by municipality in New York State, that is, the degree to which assessments are at a uniform percentage of their market value. Equity is measured primarily by two statistics — the coefficient of dispersion (COD) and the price-related differential (PRD). For more information please go to: http://www.tax.ny.gov/research/property/default.htm

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    Risk of Infected Blacklegged Tick Encounter: Adults (Oct to Dec): Beginning 2008

    health.data.ny.gov | Last Updated 2024-05-01T18:57:20.000Z

    Tick-borne diseases, such as Lyme disease, anaplasmosis and babesiosis, are a significant issue in New York (NY), impacting well over 10,000 individuals yearly. The New York State Department of Health (NYSDOH) has a responsibility to perform surveillance to monitor and track different kinds of tick-borne diseases. While most surveillance is done via reportable cases of human illness, tick-borne diseases can also be monitored by collecting ticks from the environment (called active surveillance) and testing them for bacteria, viruses, and parasites known to cause illness in people (collectively called pathogens). Active surveillance allows local county health departments in NY, excluding New York City (NYC), to have a better understanding of the tick populations present in the state, the species composition of the tick population, and the rate at which ticks are infected with different pathogens. The Department started testing ticks in 2002 in limited areas; testing statewide began in 2008. Further information on NYSDOH active tick surveillance can be found at the URL below and in the Data Methodology section below. https://www.health.ny.gov/diseases/communicable/lyme/

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    Risk of Infected Blacklegged Tick Encounter: Nymphs (May to Sep): Beginning 2008

    health.data.ny.gov | Last Updated 2024-05-07T14:49:16.000Z

    Tick-borne diseases, such as Lyme disease, anaplasmosis and babesiosis, are a significant issue in New York (NY), impacting well over 10,000 individuals yearly. The New York State Department of Health (NYSDOH) has a responsibility to perform surveillance to monitor and track different kinds of tick-borne diseases. While most surveillance is done via reportable cases of human illness, tick-borne diseases can also be monitored by collecting ticks from the environment (called active surveillance) and testing them for bacteria, viruses, and parasites known to cause illness in people (collectively called pathogens). Active surveillance allows local county health departments in NY, excluding New York City (NYC), to have a better understanding of the tick populations present in the state, the species composition of the tick population, and the rate at which ticks are infected with different pathogens. The Department started testing ticks in 2002 in limited areas; testing statewide began in 2008. Further information on NYSDOH active tick surveillance can be found at the URL below and in the Data Methodology section below. https://www.health.ny.gov/diseases/communicable/lyme/

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    New York City Work and Family Leave Survey (WFLS) 2014

    data.cityofnewyork.us | Last Updated 2022-05-09T22:25:47.000Z

    The New York City Work and Family Leave Survey (WFLS), conducted in March 2016, was a telephone survey of New York City residents who gave birth in 2014. Its goal was to improve understanding about the availability and accessibility of paid family leave to working parents. The WFLS also sought to describe the role that paid family leave policies play in achieving health equity for parents and children. The WFLS was made possible through funding by the U.S. Department of Labor Women’s Bureau.

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    NYC Building Energy and Water Data Disclosure for Local Law 84 (2023-Present)

    data.cityofnewyork.us | Last Updated 2023-08-30T18:55:16.000Z

    Local Law 84 of 2009 (LL84) requires annual energy and water benchmarking data to be submitted by owners of buildings with more than 50,000 square feet. This data is collected via the Environmental Protection Agency's (EPA) <a href="https://www.energystar.gov/buildings/tools-and-resources/portfolio-manager-0">Portfolio Manager website</a> Each property is identified by it's EPA assigned property ID, and can contain one or more tax lots identified by one or more BBLs (Borough, Block, Lot) or one or more buildings identified by one or more building identification numbers (BIN) Please visit <a href="https://www1.nyc.gov/site/buildings/codes/benchmarking.page">DOB's Benchmarking and Energy Efficiency Rating page</a> for additional information.