The population density of St. Louis County, MN was 32 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:

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Geographic and Population Datasets Involving St. Louis County, MN

  • API

    Maryland Resident Population Per Square Mile: 2010-2020

    opendata.maryland.gov | Last Updated 2022-04-08T18:59:46.000Z

    Resident population density for Maryland and Jurisdictions per square mile from 2010 to 2020. Source: U.S. Bureau of Census

  • API

    City and Township Population Data

    data.ramseycounty.us | Last Updated 2022-03-21T15:37:41.000Z

    Sources: MN State Demographic Center and the Metropolitan Council. Released August 2020. The Minnesota State Demographic Center (our office) and the Metropolitan Council jointly produce population and household estimates for all years between the U.S. Census Bureau's decennial (10-year) counts.  The Met Council produces the estimates for the seven counties of Anoka, Carver, Dakota, Hennepin, Ramsey, Scott, and Washington, as well as all cities and townships within those counties. Our office produces the estimates for the other 80 Minnesota counties outside of the 7-county metro, as well as all cities and townships within those counties. Notes: New estimates are released annually in late July for the prior year. All data are dated to April 1. Persons per household is calculated by dividing the household population by the number of occupied households in any given geography. The household population does not equal the total population because some residents live in "group quarters" settings (such as college dormitories, nursing facilities, shelters, treatment centers, religious orders, military barracks, or correctional facilities), and thus are not living in households.  Cities that cross county boundaries are segmented by each county's portion (labeled "part"), as well as appearing in total under "Multi-County City" in the "COUNTY NAME" column.

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    Foreign Born Population

    impact.stlouisco.com | Last Updated 2016-12-29T17:09:47.000Z

    This dataset represents the St. Louis County Residents that were not born in the United States. It also includes the top countries of origin for these residents

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    Teen Births By ZIP Code 2013

    impact.stlouisco.com | Last Updated 2016-02-05T22:00:14.000Z

    This dataset includes annual counts and rates of live births to girls ages 10-19 who are residents of St. Louis County. Data is collected, maintained and published by the Missouri Department of Health & Senior Services (HSS). Information on each birth and the mothers is gathered from birth certificates. HSS only reports the number of live births along with other health, social and demographic variables through the Missouri Information for Community Assessment (MICA) system. Rates of live births is calculated using both MICA and U.S. Census population estimates. The population estimates are organized by ZIP Code Tabulation Areas (ZCTA). In very rare instances do the ZCTAs not consistently overlap with the postal ZIP Code areas. Live Births Per 1,000 Teen Girls for a specified time period is calculated as: (# Live Births to Girls Ages 10-19/Total Population of Girls Ages 10-19) x 1,000.

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    Municipality Breakdown

    impact.stlouisco.com | Last Updated 2019-02-15T21:07:02.000Z

  • API

    Births to Teen Girls Ages 10-19

    impact.stlouisco.com | Last Updated 2016-02-05T18:03:29.000Z

    This dataset includes annual counts and rates of live births to girls ages 10-19 who are residents of St. Louis County. Data is collected, maintained and published by the Missouri Department of Health & Senior Services (HSS). Information on each birth and the mothers is gathered from birth certificates. HSS only reports the number of live births along with other health, social and demographic variables through the Missouri Information for Community Assessment (MICA) system. Rates of live births is calculated using both MICA and U.S. Census data. Live Births Per 1,000 Teen Girls for a specified time period is calculated as: (# Live Births to Girls Ages 10-19/Total Population of Girls Ages 10-19) x 1,000.

  • API

    Early Childhood School Enrollment for Youth Ages 3-4 by ZIP Code

    impact.stlouisco.com | Last Updated 2016-02-07T23:53:54.000Z

    This dataset includes annual estimates of school enrollment for the population ages 3-4. Through its American Community Survey, the U.S. Census Bureau produces 5-year estimates for most geographies. The school enrollment estimates reports a percentage of the 3-4 age group who are enrolled in school (public or private) for the survey period. According to the Census Bureau, school for this age group is identified as nursery or preschool. Public schools are any school controlled and supported primarily by a local, county, state, or federal government. Private schools are defined as schools supported and controlled primarily by religious organizations or other private groups. This dataset is for the Census bureau defined ZIP Code Tabulation Areas (ZCTA). Though roughly formed with the U.S. Postal Service’s ZIP Code areas as a guide, across the nation the ZCTAs do not always conform to the exact boundaries of ZIP Code areas. However, in St. Louis County the boundaries rarely differ.

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    Vital Signs: Population – by region shares

    data.bayareametro.gov | Last Updated 2018-07-06T18:06:55.000Z

    VITAL SIGNS INDICATOR Population (LU1) FULL MEASURE NAME Population estimates LAST UPDATED September 2016 DESCRIPTION Population is a measurement of the number of residents that live in a given geographical area, be it a neighborhood, city, county or region. DATA SOURCES U.S. Census Bureau 1960-1990 Decennial Census http://factfinder2.census.gov California Department of Finance 1961-2016 Population and Housing Estimates http://www.dof.ca.gov/research/demographic/ CONTACT INFORMATION vitalsigns.info@mtc.ca.gov METHODOLOGY NOTES (across all datasets for this indicator) All legal boundaries and names for Census geography (metropolitan statistical area, county, city, tract) are as of January 1, 2010, released beginning November 30, 2010 by the U.S. Census Bureau. A priority development area (PDA) is a locally-designated infill area with frequent transit service, where a jurisdiction has decided to concentrate most of its housing and jobs growth for development in the foreseeable future. PDA boundaries are as current as July 2016. Population estimates for PDAs were derived from Census population counts at the block group level for 2000-2014 and at the tract level for 1970-1990. Population estimates for Bay Area counties and cities are from the California Department of Finance, which are as of January 1st of each year. Population estimates for non-Bay Area regions are from the U.S. Census Bureau. Decennial Census years reflect population as of April 1st of each year whereas population estimates for intercensal estimates are as of July 1st of each year. Population estimates for Bay Area tracts are from the decennial Census (1970 -2010) and the American Community Survey (2008-2012 5-year rolling average; 2010-2014 5-year rolling average). Population estimates for Bay Area PDAs are from the decennial Census (1970 - 2010) and the American Community Survey (2006-2010 5 year rolling average; 2010-2014 5-year rolling average. Estimates of density for tracts and PDAs use gross acres as the denominator. Annual population estimates for metropolitan areas outside the Bay Area are from the Census and are benchmarked to each decennial Census. The annual estimates in the 1990s were not updated to match the 2000 benchmark. The following is a list of cities and towns by geographical area: Big Three: San Jose, San Francisco, Oakland Bayside: Alameda, Albany, Atherton, Belmont, Belvedere, Berkeley, Brisbane, Burlingame, Campbell, Colma, Corte Madera, Cupertino, Daly City, East Palo Alto, El Cerrito, Emeryville, Fairfax, Foster City, Fremont, Hayward, Hercules, Hillsborough, Larkspur, Los Altos, Los Altos Hills, Los Gatos, Menlo Park, Mill Valley, Millbrae, Milpitas, Monte Sereno, Mountain View, Newark, Pacifica, Palo Alto, Piedmont, Pinole, Portola Valley, Redwood City, Richmond, Ross, San Anselmo, San Bruno, San Carlos, San Leandro, San Mateo, San Pablo, San Rafael, Santa Clara, Saratoga, Sausalito, South San Francisco, Sunnyvale, Tiburon, Union City, Vallejo, Woodside InlandCoastalDelta: American Canyon, Benicia, Clayton, Concord, Cotati, Danville, Dublin, Lafayette, Martinez, Moraga, Napa, Novato, Orinda, Petaluma, Pleasant Hill, Pleasanton, Rohnert Park, San Ramon, Santa Rosa, Sebastopol, Walnut Creek, Antioch, Brentwood, Calistoga, Cloverdale, Dixon, Fairfield, Gilroy, Half Moon Bay, Healdsburg, Livermore, Morgan Hill, Oakley, Pittsburg, Rio Vista, Sonoma, St. Helena, Suisun City, Vacaville, Windsor, Yountville Unincorporated: all unincorporated towns

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    Educational Attaiment For The Population Ages 18-24 Years- ZIP Code Tabulation Areas 2010-2014

    impact.stlouisco.com | Last Updated 2016-02-17T22:08:27.000Z

    This dataset includes annual estimates of educational attainment for the population ages 18-24. Through its American Community Survey, the U.S. Census Bureau produces 5-year estimates for most geographies in the U.S, and its territories. The educational attainment estimates reports a percentage of the population who have completed increasing levels of education from less than high school completion to a bachelor’s degree or higher. Estimates are for the highest level of education completed. This dataset is for the Census bureau defined ZIP Code Tabulation Areas (ZCTA). Though roughly formed with the U.S. Postal Service’s ZIP Code areas as a guide, across the nation the ZCTAs do not always conform to the exact boundaries of ZIP Code areas. However, in St. Louis County the boundaries rarely differ.