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The land area of Clara City, MN was 2 in 2018.

Land Area

Water Area

Land area is a measurement providing the size, in square miles, of the land portions of geographic entities for which the Census Bureau tabulates and disseminates data. Area is calculated from the specific boundary recorded for each entity in the Census Bureau's geographic database. Land area is based on current information in the TIGER® data base, calculated for use with Census 2010.

Water Area figures include inland, coastal, Great Lakes, and territorial sea water. Inland water consists of any lake, reservoir, pond, or similar body of water that is recorded in the Census Bureau's geographic database. It also includes any river, creek, canal, stream, or similar feature that is recorded in that database as a two- dimensional feature (rather than as a single line). The portions of the oceans and related large embayments (such as Chesapeake Bay and Puget Sound), the Gulf of Mexico, and the Caribbean Sea that belong to the United States and its territories are classified as coastal and territorial waters; the Great Lakes are treated as a separate water entity. Rivers and bays that empty into these bodies of water are treated as inland water from the point beyond which they are narrower than 1 nautical mile across. Identification of land and inland, coastal, territorial, and Great Lakes waters is for data presentation purposes only and does not necessarily reflect their legal definitions.

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 Area Datasets Involving Clara City, MN

  • API

    Voter Registration Count By Precinct And District Data

    data.ramseycounty.us | Last Updated 2023-03-29T12:47:03.000Z

    This dataset shows voter registration totals by precinct, ward and district in Ramsey County.

  • API

    Queens Library Branches

    data.cityofnewyork.us | Last Updated 2018-09-10T19:30:00.000Z

    Hours and locations of Queens Library Branches

  • API

    2019 Volunteers Count Report - Neighborhoods

    data.cityofnewyork.us | Last Updated 2024-01-25T21:38:46.000Z

    The annual NYC Volunteers Count report is the City’s largest scan of residents volunteering at organizations across New York City. Organizations, including City agencies, Mayoral offices, and nonprofits, are surveyed to understand how residents volunteer within the city’s infrastructure to strengthen communities at the neighborhood level. All participating organizations are recognized for their contributions in the annual NYC Volunteers Count report.

  • 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.

  • API

    City of Flint Distribution System Monitoring Data

    data.michigan.gov | Last Updated 2022-05-13T12:00:19.000Z

    The City of Flint purchases treated water from the Great Lakes Water Authority (GLWA) and the Genesee County Drain Commissioner (GCDC) and provides further treatment to optimize corrosion control. • Data collected from the City's distribution system helps us know whether the treatment process is working correctly • Some data in the table is informational only • Some data shows whether target ranges for pH, orthophosphate, chlorine, and iron are being met. Other testing that EGLE is doing for the City of Flint is Lead and Copper Sequential Sampling. The four categories shown on the previous page (pH, Orthophosphate, Iron, and Chlorine) are main indicators of whether the City's corrosion control treatment is working properly. In 2017 EGLE set required ranges for pH and orthophosphate. An expanded dataset is available. Visit Michigan.gov/FlintWater for more information.

  • API

    Healthy Cities Policies

    data.sccgov.org | Last Updated 2024-03-08T17:17:09.000Z

    The Healthy Cities Policies dataset contains data on policies and practices County of Santa Clara cities and towns have adopted within 9 policy categories to support the health of their residents.

  • API

    Great Lakes Water Authority (GLWA) Monitoring Data

    data.michigan.gov | Last Updated 2022-05-13T11:58:19.000Z

    Public water systems sample for many different water quality indicators, also known as parameters, every day to help ensure the safety of your drinking water. The data shown in the tables below helps the City of Flint make decisions about the best way to treat the water. If more than one sample is collected per day at a particular location, the average or range of all daily samples may be shown. This table shows water quality data for the GLWA water system. The City will use this data to make treatment decisions when the GLWA is supplying water to the City of Flint. For more information, visit Michigan.gov/FlintWater

  • API

    City of Flint Distribution System Monitoring Data (Expanded)

    data.michigan.gov | Last Updated 2022-05-13T12:01:35.000Z

    The City of Flint purchases treated water from the Great Lakes Water Authority (GLWA) and the Genesee County Drain Commissioner (GCDC) and provides further treatment to optimize corrosion control. • Data collected from the City's distribution system helps us know whether the treatment process is working correctly • Some data in the table is informational only • Some data shows whether target ranges for pH, orthophosphate, chlorine, and iron are being met. Other testing that EGLE is doing for the City of Flint is Lead and Copper Sequential Sampling. This expanded dataset helps the City of Flint make decisions about the best way to treat the water. If more than one sample is collected per day at a particular location, the average or range of all daily samples may be shown. Visit Michigan.gov/FlintWater for more information.

  • API

    Vital Signs: Jobs – by county

    data.bayareametro.gov | Last Updated 2020-04-13T23:20:49.000Z

    VITAL SIGNS INDICATOR Jobs (LU2) FULL MEASURE NAME Employment estimates by place of work LAST UPDATED October 2019 DESCRIPTION Jobs refers to the number of employees in a given area by place of work. These estimates do not include self-employed and private household employees. DATA SOURCE California Employment Development Department: Current Employment Statistics 1990-2018 http://www.labormarketinfo.edd.ca.gov/ U.S. Census Bureau: LODES Data Longitudinal Employer-Household Dynamics Program (2005-2010) http://lehd.ces.census.gov/ U.S. Census Bureau: American Community Survey 5-Year Estimates, Tables S0804 (2010) and B08604 (2010-2017) https://factfinder.census.gov/ Bureau of Labor Statistics: Current Employment Statistics Table D-3: Employees on nonfarm payrolls (1990-2018) http://www.bls.gov/data/ METHODOLOGY NOTES (across all datasets for this indicator) The California Employment Development Department (EDD) provides estimates of employment, by place of employment, for California counties. The Bureau of Labor Statistics (BLS) provides estimates of employment for metropolitan areas outside of the Bay Area. Annual employment data are derived from monthly estimates and thus reflect “annual average employment.” Employment estimates outside of the Bay Area do not include farm employment. For the metropolitan area comparison, farm employment was removed from Bay Area employment totals. Both EDD and BLS data report only wage and salary jobs, not the self-employed. For measuring jobs below the county level, Vital Signs assigns collections of incorporated cities and towns to sub-county areas. For example, the cities of East Palo Alto, Menlo Park, Portola Valley, Redwood City and Woodside are considered South San Mateo County. Because Bay Area counties differ in footprint, the number of sub-county city groupings varies from one (San Francisco and San Jose counties) to four (Santa Clara County). Estimates for sub-county areas are the sums of city-level estimates from the U.S. Census Bureau: American Community Survey (ACS) 2010-2017. The following incorporated cities and towns are included in each sub-county area: North Alameda County – Alameda, Albany, Berkeley, Emeryville, Oakland, Piedmont East Alameda County - Dublin, Livermore, Pleasanton South Alameda County - Fremont, Hayward, Newark, San Leandro, Union City Central Contra Costa County - Clayton, Concord, Danville, Lafayette, Martinez, Moraga, Orinda, Pleasant Hill, San Ramon, Walnut Creek East Contra Costa County - Antioch, Brentwood, Oakley, Pittsburg West Contra Costa County - El Cerrito, Hercules, Pinole, Richmond, San Pablo Marin – all incorporated cities and towns Napa – all incorporated cities and towns San Francisco – San Francisco North San Mateo - Brisbane, Colma, Daly City, Millbrae, Pacifica, San Bruno, South San Francisco Central San Mateo - Belmont, Burlingame, Foster City, Half Moon Bay, Hillsborough, San Carlos, San Mateo South San Mateo - East Palo Alto, Menlo Park, Portola Valley, Redwood City, Woodside North Santa Clara - Los Altos, Los Altos Hills, Milpitas, Mountain View, Palo Alto, Santa Clara, Sunnyvale San Jose – San Jose Southwest Santa Clara - Campbell, Cupertino, Los Gatos, Monte Sereno, Saratoga South Santa Clara - Gilroy, Morgan Hill East Solano - Dixon, Fairfield, Rio Vista, Suisun City, Vacaville South Solano - Benicia, Vallejo North Sonoma - Cloverdale, Healdsburg, Windsor South Sonoma - Cotati, Petaluma, Rohnert Park, Santa Rosa, Sebastopol, Sonoma

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    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.