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The population density of Lake Mills, IA was 772 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 Mills, IA

  • 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.

  • API

    Iowa Geographic Names

    mydata.iowa.gov | Last Updated 2024-09-20T22:00:21.000Z

    This dataset provides the geographic names data for Iowa. All names data products are extracted from the Geographic Names Information System (GNIS), the Federal Government's repository of official geographic names. The GNIS contains the federally recognized name of each feature and defines its location by State, county, USGS topographic map, and geographic coordinates. GNIS also lists variant names, which are non-official names by which a feature is or was known. Other attributes include unique Feature ID and feature class. Feature classes under the purview of the U.S. Board on Geographic Names include natural features, unincorporated populated places, canals, channels, reservoirs, and more.

  • API

    2016 Impaired Lakes of Iowa

    mydata.iowa.gov | Last Updated 2023-08-30T20:30:10.000Z

    This dataset represents centroids of lakes, reservoirs, and wetlands listed as "impaired" in Iowa's Section 305(b) Water Quality Assessment and the 303(d) Impaired Waters Report. Together, these two reports are known as Iowa's 2016 Integrated Report. Waterbodies in Iowa each have specific designations based on what they are commonly used for-recreation, such as swimming or fishing; drinking water; or maintaining a healthy population of fish and other aquatic life. Every two years, Iowa must report on its progress in meeting water quality goals to the U.S. Environmental Protection Agency (EPA). The state prepares one report called the 305(b) Water Quality Assessment or 305(b) list. This 305(b) list categorizes waterbodies to reflect: those that meet all the designated uses (category 1), those in which data availability is insufficient to determine whether any or all designated uses are being met (categories 2 and 3), and those waters in which the water quality prevents it from fully meeting its designated use, and is thus considered "impaired". New impairments (or category 5 listings) are placed on the "303(d) Impaired Waters Report", commonly referred to as the "impaired waters list." This is named after section 303(d) of the Federal Clean Water Act and means that the stream or lake needs a water quality improvement plan written (also known by a technical name, "Total Maximum Daily Load," or "TMDL"). The water quality improvement plan outlines water quality problems, identifies sources of the problem(s), identifies needed reductions in pollutants and offers possible solutions. Water quality improvement plans are approved by the EPA and then the waters are moved from the 303(d) list back to the 305(b) list as category 4 listings (waters considered impaired, but a water quality improvement plan has been written).

  • API

    Historical Populations 2000-2016

    data.orcities.org | Last Updated 2017-02-06T20:50:54.000Z

    Population Data from Portland State University Center for Population Research

  • API

    2016 Impaired Streams of Iowa

    mydata.iowa.gov | Last Updated 2023-08-30T20:42:13.000Z

    This dataset contains line work representing streams and rivers listed as "impaired" in Iowa's 2016 Section 305(b) Water Quality Assessment and the 303(d) Impaired Waters Report. Together, these two reports are known as Iowa's 2016 Integrated Report. Waterbodies in Iowa each have specific designations based on what they are commonly used for-recreation, such as swimming or fishing; drinking water; or maintaining a healthy population of fish and other aquatic life. Every two years, Iowa must report on its progress in meeting water quality goals to the U.S. Environmental Protection Agency (EPA). The state prepares one report called the 305(b) Water Quality Assessment or 305(b) list. This 305(b) list categorizes waterbodies to reflect: those that meet all the designated uses (category 1), those in which data availability is insufficient to determine whether any or all designated uses are being met (categories 2 and 3), and those waters in which the water quality prevents it from fully meeting its designated use, and is thus considered "impaired". New impairments (or category 5 listings) are placed on the "303(d) Impaired Waters Report", commonly referred to as the "impaired waters list." This is named after section 303(d) of the Federal Clean Water Act and means that the stream or lake needs a water quality improvement plan written (also known by a technical name, "Total Maximum Daily Load," or "TMDL"). The water quality improvement plan outlines water quality problems, identifies sources of the problem(s), identifies needed reductions in pollutants and offers possible solutions. Water quality improvement plans are approved by the EPA and then the waters are moved from the 303(d) list back to the 305(b) list as category 4 listings (waters considered impaired, but a water quality improvement plan has been written).

  • API

    Education, Health, And Transportation Demographics

    data.orcities.org | Last Updated 2017-01-06T16:41:02.000Z

    Data from the American Community Survey 2014 on all LOC member cities. This dataset includes select information for education, health and transportation statistics.

  • API

    Vital Signs: Population – by PDA (2022)

    data.bayareametro.gov | Last Updated 2023-06-20T23:39:41.000Z

    VITAL SIGNS INDICATOR Population (LU1) FULL MEASURE NAME Population estimates LAST UPDATED February 2023 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 SOURCE California Department of Finance: Population and Housing Estimates - http://www.dof.ca.gov/Forecasting/Demographics/Estimates/ Table E-6: County Population Estimates (1960-1970) Table E-4: Population Estimates for Counties and State (1970-2021) Table E-8: Historical Population and Housing Estimates (1990-2010) Table E-5: Population and Housing Estimates (2010-2021) Bay Area Jurisdiction Centroids (2020) - https://data.bayareametro.gov/Boundaries/Bay-Area-Jurisdiction-Centroids-2020-/56ar-t6bs Computed using 2020 US Census TIGER boundaries U.S. Census Bureau: Decennial Census Population Estimates - http://www.s4.brown.edu/us2010/index.htm- via Longitudinal Tract Database Spatial Structures in the Social Sciences, Brown University 1970-2020 U.S. Census Bureau: American Community Survey (5-year rolling average; tract) - https://data.census.gov/ 2011-2021 Form B01003 Priority Development Areas (Plan Bay Area 2050) - https://opendata.mtc.ca.gov/datasets/MTC::priority-development-areas-plan-bay-area-2050/about CONTACT INFORMATION vitalsigns.info@bayareametro.gov METHODOLOGY NOTES (across all datasets for this indicator) All historical data reported for Census geographies (metropolitan areas, county, city and tract) use current legal boundaries and names. A Priority Development Area (PDA) is a locally-designated 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 current as of December 2022. 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 (1970-2020) and the American Community Survey (2011-2021 5-year rolling average). Estimates of population density for tracts use gross acres as the denominator. Population estimates for Bay Area tracts and PDAs are from the decennial Census (1970-2020) and the American Community Survey (2011-2021 5-year rolling average). Population estimates for PDAs are allocated from tract-level Census population counts using an area ratio. For example, if a quarter of a Census tract lies with in a PDA, a quarter of its population will be allocated to that PDA. Estimates of population density for PDAs use gross acres as the denominator. Note that the population densities between PDAs reported in previous iterations of Vital Signs are mostly not comparable due to minor differences and an updated set of PDAs (previous iterations reported Plan Bay Area 2040 PDAs, whereas current iterations report Plan Bay Area 2050 PDAs). 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 Inland, Delta and

  • API

    Vital Signs: Population – by tract (2022)

    data.bayareametro.gov | Last Updated 2023-06-20T23:39:40.000Z

    VITAL SIGNS INDICATOR Population (LU1) FULL MEASURE NAME Population estimates LAST UPDATED February 2023 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 SOURCE California Department of Finance: Population and Housing Estimates - http://www.dof.ca.gov/Forecasting/Demographics/Estimates/ Table E-6: County Population Estimates (1960-1970) Table E-4: Population Estimates for Counties and State (1970-2021) Table E-8: Historical Population and Housing Estimates (1990-2010) Table E-5: Population and Housing Estimates (2010-2021) Bay Area Jurisdiction Centroids (2020) - https://data.bayareametro.gov/Boundaries/Bay-Area-Jurisdiction-Centroids-2020-/56ar-t6bs Computed using 2020 US Census TIGER boundaries U.S. Census Bureau: Decennial Census Population Estimates - http://www.s4.brown.edu/us2010/index.htm- via Longitudinal Tract Database Spatial Structures in the Social Sciences, Brown University 1970-2020 U.S. Census Bureau: American Community Survey (5-year rolling average; tract) - https://data.census.gov/ 2011-2021 Form B01003 Priority Development Areas (Plan Bay Area 2050) - https://opendata.mtc.ca.gov/datasets/MTC::priority-development-areas-plan-bay-area-2050/about CONTACT INFORMATION vitalsigns.info@bayareametro.gov METHODOLOGY NOTES (across all datasets for this indicator) All historical data reported for Census geographies (metropolitan areas, county, city and tract) use current legal boundaries and names. A Priority Development Area (PDA) is a locally-designated 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 current as of December 2022. 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 (1970-2020) and the American Community Survey (2011-2021 5-year rolling average). Estimates of population density for tracts use gross acres as the denominator. Population estimates for Bay Area tracts and PDAs are from the decennial Census (1970-2020) and the American Community Survey (2011-2021 5-year rolling average). Population estimates for PDAs are allocated from tract-level Census population counts using an area ratio. For example, if a quarter of a Census tract lies with in a PDA, a quarter of its population will be allocated to that PDA. Estimates of population density for PDAs use gross acres as the denominator. Note that the population densities between PDAs reported in previous iterations of Vital Signs are mostly not comparable due to minor differences and an updated set of PDAs (previous iterations reported Plan Bay Area 2040 PDAs, whereas current iterations report Plan Bay Area 2050 PDAs). 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 Inland, Delta and

  • API

    Economic Demographics

    data.orcities.org | Last Updated 2017-01-09T17:17:43.000Z

    Data from the American Communities Survey 2014. This data includes information on household income, city industries composition, and class of workers.