The population density of New Hampshire was 150 in 2018. The population density of Washington was 110 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 Washington or New Hampshire

  • API

    WAOFM - Census - Population and Housing, 2000 and 2010

    data.wa.gov | Last Updated 2021-09-01T17:20:31.000Z

    Population and housing information extracted from decennial census Public Law 94-171 redistricting summary files for Washington state for years 2000 and 2010.

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    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.

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    WAOFM - Congressional Districts - Table 1: Census 2010 Population and Housing

    data.wa.gov | Last Updated 2021-09-01T17:19:01.000Z

    Census 2010 population and housing for 2012 congressional districts based on Washington State Redistricting Commission plan C-JOINTSUB_2-1 as amended by Engrossed House Concurrent Resolution 4409.

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    Hospital Inpatient Discharge Rates, Average Charges, Average Payments, and Charge-to-Payment Ratios by DRG - U.S., Northwest, and Washington State - FY2011

    data.wa.gov | Last Updated 2013-06-20T21:58:06.000Z

    The dataset contains hospital inpatient discharge rates, charges, covered payments, charge-to-payment ratios for the 100 most common DRGs among hospitals in the Medicare Prospective Payment System.

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

    data.wa.gov | Last Updated 2023-07-06T17:50:22.000Z

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

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    WAOFM - Legislative Districts - Table 1: Census 2010 Population and Housing

    data.wa.gov | Last Updated 2021-09-01T17:19:16.000Z

    Census 2010 population and housing for legislative districts based on Washington State Redistricting Commission plan L-JOINTSUB_3-2 as amended by Engrossed House Concurrent Resolution 4409.

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    Driver Licenses and ID Cards Transferred to Washington

    data.wa.gov | Last Updated 2024-06-21T20:12:17.000Z

    This data set shows monthly counts of new Washington State driver licenses and identification cards (ID) where customers presented licenses or IDs from other states or countries. The data is organized by Washington counties where the customers live. It shows where the previous driver licenses or ID cards were issued.

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    WA RCO SCORP 2013 Field Definitions

    data.wa.gov | Last Updated 2013-10-31T22:06:45.000Z

    This dataset is a survey of outdoor recreation demand which includes responses from 3,114 residents of Washington state who were interviewed by phone between August 27 and October 26, 2012. The telephone survey was conducted using random digit dialing. To meet the regional planning requirements of the project, the sample was stratified by the 10 planning regions in Washington (see the 2013 SCORP Plan, Appendix A for survey methodology and map). The consultant obtained a minimum of 300 completed interviews in each region. Within each region, the results were weighted by demographic characteristics so that the sample was representative of residents of that region. For statewide results, each region was weighted to be in proper proportion to the state population as a whole. Study findings are representative at the statewide level as well as by planning region. Any manipulation or analysis of the data should take this sampling approach and weighting into account.

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    Economic Poverty Rate by County WA

    internal.open.piercecountywa.gov | Last Updated 2024-06-11T16:35:54.000Z

    Count and rate of population with income in the last 12 months below poverty level in an area. ( B17001). County and State values are from ACS 1-year survey.

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    Deer Tick Surveillance: Adults (Oct to Dec) excluding Powassan virus: Beginning 2008

    health.data.ny.gov | Last Updated 2024-05-01T18:05:44.000Z

    This dataset provides the results from collecting and testing adult deer ticks, also known as blacklegged ticks, or by their scientific name <i>Ixodes scapularis</i>. Collection and testing take place across New York State (excluding New York City) from October to December, when adult deer ticks are most commonly seen. Adult deer ticks are individually tested for different bacteria and parasites, which includes the bacteria responsible for Lyme disease. These data should simply be used to educate people that there is a risk of coming in contact with ticks and tick-borne diseases. These data only provide adult tick infections at a precise location and at one point in time. Both measures, tick population density and percentage, of ticks infected with the specified bacteria or parasite can vary greatly within a very small area and within a county. These data should not be used to broadly predict disease risk for a county. Further below on this page you can find links to tick prevention tips, a video on how to safely remove a tick, and more datasets with tick testing results. Interactive charts and maps provide an easier way to view the data.