The population density of Benton Harbor, MI was 2,241 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.

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Geographic and Population Datasets Involving Benton Harbor, MI

  • API

    Educational Attainment of Washington Population by Age, Race/Ethnicity/, and PUMA Region

    data.wa.gov | Last Updated 2019-05-16T19:13:48.000Z

    The American Community Survey (ACS) is designed to estimate the characteristic distribution of populations* and estimated counts should only be used to calculate percentages. They do not represent the actual population counts or totals. Beginning in 2019, the Washington Student Achievement Council (WSAC) has measured educational attainment for the Roadmap Progress Report using one-year American Community Survey (ACS) data from the United States Census Bureau. These public microdata represents the most current data, but it is limited to areas with larger populations leading to some multi-county regions**. *The American Community Survey is not the official source of population counts. It is designed to show the characteristics of the nation's population and should not be used as actual population counts or housing totals for the nation, states or counties. The official population count — including population by age, sex, race and Hispanic origin — comes from the once-a-decade census, supplemented by annual population estimates (which do not typically contain educational attainment variables) from the following groups and surveys: -- Washington State Office of Financial Management (OFM): https://www.ofm.wa.gov/washington-data-research/population-demographics -- US Census Decennial Census: https://www.census.gov/programs-surveys/decennial-census.html and Population Estimates Program: https://www.census.gov/programs-surveys/popest.html **In prior years, WSAC used both the five-year and three-year (now discontinued) data. While the 5-year estimates provide a larger sample, they are not recommended for year to year trends and also are released later than the one-year files. Detailed information about the ACS at https://www.census.gov/programs-surveys/acs/guidance.html

  • API

    Health And Wellness Dashboard

    midashboard.michigan.gov | Last Updated 2018-01-04T18:13:08.000Z

    Open Michigan (OpenMichigan@michigan.gov) is the official State of Michigan account. Any items created by other user accounts are not endorsed by the State of Michigan.

  • API

    Population Density By Land Area And County In Utah 2010

    opendata.utah.gov | Last Updated 2019-02-11T21:26:09.000Z

    This data set contains population density by land area and county of residence in Utah for 2010.

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    Michigan Dashboard

    midashboard.michigan.gov | Last Updated 2018-01-18T19:19:48.000Z

    Open Michigan (OpenMichigan@michigan.gov) is the official State of Michigan account. Any items created by other user accounts are not endorsed by the State of Michigan.

  • API

    Children Living In Poverty

    midashboard.michigan.gov | Last Updated 2017-10-25T15:19:13.000Z

    Open Michigan (OpenMichigan@michigan.gov) is the official State of Michigan account. Any items created by other user accounts are not endorsed by the State of Michigan.

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    Internet Master Plan: Adoption and Infrastructure Data by Neighborhood

    data.cityofnewyork.us | Last Updated 2021-09-17T20:27:34.000Z

    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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    New York City - Internet Master Plan: Adoption and Infrastructure Data by Neighborhood

    fusioncenter.nhit.org | Last Updated 2021-01-27T05:47:01.000Z

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    AFSC/ABL: Southeast Coastal Monitoring Project - CTD database

    noaa-fisheries-afsc.data.socrata.com | Last Updated 2021-04-22T18:32:34.000Z

    The Southeast Alaska Coastal Monitoring (SECM) project in Alaska was initiated in 1997 by the Auke Bay Laboratory, National Marine Fisheries Service, to study the habitat use and early marine ecology of juvenile (age-0) Pacific salmon (Oncorhynchus spp.) and associated epipelagic ichthyofauna. This research has been conducted to meet several needs identified in the National Oceanic and Atmospheric Administration (NOAA) Fisheries 2006-2011 Strategic Plan, the North Pacific Anadromous Fisheries Commission (NPAFC) 20062010 Science Plan, and the Gulf of Alaska Global Ocean Ecosystem Dynamics (GLOBEC) Program. A primary goal of the 2006-2011 NOAA Fisheries Strategic Plan is to Protect, Restore, and Manage the Use of Coastal and Ocean Resources Through an Ecosystem Approach to Management. SECM research addresses the five fundamental activities identified under this goal, which include: Monitor and observe the land, sea, atmosphere. Understand and describe how natural systems work together, Assess and predict the changes in natural systems, Engage, advise, and inform individuals, partners, communities, and industries, and, Manage coastal and ocean resources SECM research emphasizes long-term monitoring of coastal marine habitats used by juvenile salmon and associated epipelagic fishes, to understand how environmental variation affects the sustainability of these marine resources in an ecological context. The study of juvenile anadromous stocks of salmon in ocean ecosystems is an important component of the NPAFC 2006-2010 Science Plan. This component recommends studies directed at understanding: seasonal distribution and migration route/timing of juvenile salmon; hydrological characteristics, primary production, and prey resources in the habitats; trophic linkages, growth rates and predation rates of juvenile salmon; and population size, survival rate and survival mechanism of juvenile salmon. SECM research focuses on each of these elements of this component. In particular, SECM examines the relationships among habitat use, marine growth, hatchery and wild stock interactions, year-class strength, and ocean carrying capacity of key juvenile salmon stocks in the Eastern Pacific rim. Research under the GLOBEC program incorporates basin-scale studies to determine how plankton productivity and the carrying capacity for high-trophic level, pelagic carnivores in the North Pacific Ocean change in response to climate variations, and incorporates regional-scale ecosystem studies to compare how variations in ocean climate affect species dominance and fish populations in the coastal margins of the Pacific Rim. SECM research addresses the regional-scale component of the GLOBEC program by 1) collecting biological data on juvenile Pacific salmon and ecologically related fish species from surface rope trawl samples, 2) monitoring physical and biological oceanographic indices at sampling stations in marine habitats, and 3) conducting process studies focusing on bioenergetics, prey fields, and trophic relationships of juvenile salmon and associated fishes.