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The population density of Lake Station, IN was 1,454 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 Lake Station, IN

  • API

    WAOFM - Census - Population Density by County by Decade, 1900 to 2020

    data.wa.gov | Last Updated 2023-07-06T16:48:57.000Z

    Washington state population density by county by decade 1900 to 2020.

  • API

    WAOFM - April 1 - Population Density by County, 2000 to Present

    data.wa.gov | Last Updated 2024-07-11T21:24:42.000Z

    Intercensal and postcensal estimates of population density by county 2000 to present.

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    Top20CountyCityTaxData

    data.bloomington.in.gov | Last Updated 2022-09-01T14:11:26.000Z

    This dataset contains population, property tax rate and income tax rate for the top 20 cities in Indiana by population minus Indianapolis and Ft. Wayne. Population information came from Wikipedia: https://en.wikipedia.org/wiki/List_of_cities_in_Indiana Property tax rate information came from: https://www.stats.indiana.edu/dms4/propertytaxes.asp

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    Mobility Trends County Modeling Dataset

    datahub.transportation.gov | Last Updated 2024-08-08T20:59:05.000Z

    The Mobility Trends County Modeling dataset consists of the accumulation of the three performance metrics: VMT, GHG, and TMS, alongside each of the trend indicators: GDP, Population, Lane Miles, Unemployment Rate, Charging Stations, Telework, Unlinked Passenger Trips, E-commerce, Population Density, and on-demand service revenue. The goal of Mobility Trends and Future Demand research project is to enhance FHWA’s empirical understanding of the impact of trends on travel behavior and transportation demand, and ultimately system performance and the user experience. At the core of this research project is the identification and analysis of trends to support a variety of modeling, forecasting, and ‘what if’ projections to support policy and decision making.

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    Mobility Trends What if Analysis

    datahub.transportation.gov | Last Updated 2024-07-17T16:14:52.000Z

    This dataset allows the Mobility Trends team to understand and interpret transportation trends and performance metrics based off the forecasts. These interpretations include VMT Forecasts, Vehicle Types/Fuel use Forecasts, and Emissions forecasts with various Geographic breakouts.

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    MTA Transit Oriented Development (TOD) Data

    opendata.maryland.gov | Last Updated 2024-03-25T15:38:10.000Z

    *** DISCLAIMER - This web page is a public resource of general information. The Maryland Mass Transit Administration (MTA) makes no warranty, representation, or guarantee as to the content, sequence, accuracy, timeliness, or completeness of any of the spatial data or database information provided herein. MTA and partner state, local, and other agencies shall assume no liability for errors, omissions, or inaccuracies in the information provided regardless of how caused; or any decision made or action taken or not taken by any person relying on any information or data furnished within. *** This dataset assesses rail station potential for different forms of transit oriented development (TOD). A key driver of increased transit ridership in Maryland, TOD capitalizes on existing rapid transit infrastructure. The online tool focuses on the MTA’s existing MARC Commuter Rail, Metro Subway, and Central Light Rail lines and includes information specific to each station. The goal of this dataset is to give MTA planning staff, developers, local governments, and transit riders a picture of how each MTA rail station could attract TOD investment. In order to make this assessment, MTA staff gathered data on characteristics that are likely to influence TOD potential. The station-specific data is organized into 6 different categories referring to transit activity; station facilities; parking provision and utilization; bicycle and pedestrian access; and local zoning and land availability around each station. As a publicly shared resource, this dataset can be used by local communities to identify and prioritize area improvements in coordination with the MTA that can help attract investment around rail stations. You can view an interactive version of this dataset at geodata.md.gov/tod. ** Ridership is calculated the following ways: Metro Rail ridership is based on Metro gate exit counts. Light Rail ridership is estimated using a statistical sampling process in line with FTA established guidelines, and approved by the FTA. MARC ridership is calculated using two (2) independent methods: Monthly Line level ridership is estimated using a statistical sampling process in line with FTA established guidelines, and approved by the FTA. This method of ridership calculation is used by the MTA for official reporting purposes to State level and Federal level reporting. Station level ridership is estimated by using person counts completed by the third party vendor. This method of calculation has not been verified by the FTA for statistical reporting and is used for scheduling purposes only. However, because of the granularity of detail, this information is useful for TOD applications. *Please note that the monthly level ridership and the station level ridership are calculated using two (2) independent methods that are not interchangeable and should not be compared for analysis purposes.

  • API

    Energy and Water Data Disclosure for Local Law 84 2019 (Data for Calendar Year 2018)

    data.cityofnewyork.us | Last Updated 2024-01-24T17:31:00.000Z

    Data and metrics on water and energy consumption in privately owned buildings over 25,000 ft2 and in City-owned buildings over 10,000 ft2.

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    Internet Master Plan: Adoption and Infrastructure Data by Neighborhood

    data.cityofnewyork.us | Last Updated 2022-09-23T19:23:10.000Z

    Key indicators of broadband adoption, service and infrastructure in New York City.</p> <b>Data Limitations:</b> Data accuracy is limited as of the date of publication and by the methodology and accuracy of the original sources. The City shall not be liable for any costs related to, or in reliance of, the data contained in these datasets.

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    Energy and Water Data Disclosure for Local Law 84 2017 (Data for Calendar Year 2016)

    data.cityofnewyork.us | Last Updated 2024-01-24T17:25:44.000Z

    Data and metrics on water and energy consumption in privately owned buildings over 25,000 ft2 and in City-owned buildings over 10,000 ft2.

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    Energy and Water Data Disclosure for Local Law 84 2015 (Data for Calendar Year 2014)

    data.cityofnewyork.us | Last Updated 2024-01-24T17:27:21.000Z

    Data and metrics on water and energy consumption in privately owned buildings over 25,000 ft2 and in City-owned buildings over 10,000 ft2.