The population density of Valley County, ID was 3 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.

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Geographic and Population Datasets Involving Valley County, ID

  • 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.

  • API

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

    health.data.ny.gov | Last Updated 2021-05-21T13:37:39.000Z

    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.

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    WAOFM - Census - Population Density by County by Decade, 1900 to 2010

    data.wa.gov | Last Updated 2021-09-01T17:20:22.000Z

    Washington state population density by county by decade 1900 to 2010.

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    Choose Maryland: Compare Counties - Demographics

    opendata.maryland.gov | Last Updated 2019-12-13T12:53:02.000Z

    Population profile - total, rate of change, age, and density.

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    Deer Tick Surveillance: Nymphs (May to Sept) excluding Powassan virus: Beginning 2008

    health.data.ny.gov | Last Updated 2021-05-21T14:02:02.000Z

    This dataset provides the results from collecting and testing nymph 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 May to September, when nymph deer ticks are most commonly seen. Nymph 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 nymph 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.

  • API

    County Sheriff Reported Crimes

    data.marincounty.org | Last Updated 2021-11-30T16:05:09.000Z

    Reported crimes of the Marin County Sheriff's Department. Data is updated every four hours. Data begins as of January 1, 2013. Each reported crime includes its date/time, approximate location, crime type, and crime classification. NOTE: For the safety and security of victims of crimes, street address locations, other than reported street intersections or highway locations, are not exact. They are adjusted to the nearest block level. There are two columns of city/town information. The first is the reported city/town name in the crime records. The second, which is not in the crime records, is a translation of it into the more commonly known city/town name, or into Marin County when it appears to be in an unincorporated area. For example, Almonte and Tam Valley are reported city/town names, but they are both in the more commonly known city of Mill Valley. Lucas Valley translates to San Rafael, etc. We hope that the translated city/town column will facilitate analysis.

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    Bronx Hexagon Population ACS2011

    bronx.lehman.cuny.edu | Last Updated 2019-02-15T18:22:38.000Z

    Population per hexagon, using 5-year American Community Survey data from 2011. Since each hexagon is equivalent in area, this also serves as a population density map. The data was received as population per census tract. Then a ratio was created: Tract Population/Tract Area = Hexagon Population/Hexagon Area. This was rearranged so that: Hexagon population = HexArea(TractPop/TractArea).

  • API

    COVID-19 cases by city of residence

    data.sccgov.org | Last Updated 2021-11-27T01:02:44.000Z

    The dataset summarizes counts and rates of cumulative COVID-19 cases by cities in Santa Clara County. Source: California Reportable Disease Information Exchange This dataset is updated every Thursday.

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    Citizen Connect Variables (CV)

    usc.data.socrata.com | Last Updated 2021-07-08T05:59:36.000Z

    City Data for Social Change Platform indicators across 10 Policy Areas

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    All Payer Inpatient Quality Indicators (IQI) Volume Measures by Hospital (SPARCS): Beginning 2009

    health.data.ny.gov | Last Updated 2020-11-16T17:30:25.000Z

    The datasets contain hospital discharges counts (numerators, denominators, volume counts), observed, expected and risk-adjusted rates with corresponding 95% confidence intervals for IQIs generated using methodology developed by Agency for Healthcare Research and Quality (AHRQ). The IQIs are a set of measures that provide a perspective on hospital quality of care using hospital administrative data. These indicators reflect quality of care inside hospitals and include inpatient mortality for certain procedures and medical conditions; utilization of procedures for which there are questions of overuse, underuse, and misuse; and volume of procedures for which there is some evidence that a higher volume of procedures is associated with lower mortality. All the IQI measures were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data beginning 2009. US Census data files provided by AHRQ were used to derive denominators for county level (area level) IQI measures. The mortality, volume and utilization measures IQIs are presented by hospital as rates or counts. Area-level utilization measures are presented by county as rates.