The land area of Clay County, MO was 397 in 2018. The land area of St. Charles County, MO was 560 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 Clay County, MO or St. Charles County, MO

  • API

    MO State Park Bison Locations

    data.mo.gov | Last Updated 2019-02-15T19:52:38.000Z

    This dataset is composed of the latitude and longitude coordinates for the three bison located at MO State Park.

  • API

    Find A Missouri Utility

    data.mo.gov | Last Updated 2019-02-15T19:50:21.000Z

  • API

    Downbound Barge Grain Movements (Tons)

    internal.agtransport.usda.gov | Last Updated 2024-05-23T16:30:42.000Z

    The Mississippi River (north of St. Louis, MO) and its tributaries (e.g., the Arkansas River, Illinois River, Ohio River, etc.) make use of a series of locks and dams to bring traffic up and down the waterways. Grain generally flows south from the relatively production-rich areas of the Midwest to export ports in Louisiana and feed markets in the southeast. This dataset provides weekly information on the amount (in tons), location, and commodity of barged grain transiting the following three major points: (1) the last lock on the Mississippi, Mississippi Locks 27 (called "Miss Locks 27" in the dataset), which captures downbound traffic from the Upper Mississippi and Missouri Rivers; (2) the last lock on the Ohio River, Olmsted Locks and Dam (called "Ohio Olmstead" in the dataset), which captures any downbound traffic on the Ohio and Tennessee Rivers; and (3) the last lock on the Arkansas River, Arkansas River Lock and Dam 1 (called "Ark Lock 1" in the dataset). Ohio Olmsted locks replaced Ohio Locks 52 beginning in November 2018. Commodities include "corn," "soybeans," "wheat," and "other" (oats, barley, sorghum, and rye). Combined, these three locks give a sense of barge grain traffic (by commodity) on the Mississippi--since grain shipments heading south from the Upper Mississippi River, Illinois River, Ohio River, and Arkansas River are captured. Note, however, that this data does not include all grain barge movements on the Mississippi Rover System, as some grain originates on the Mississippi below the locking portion (south of St. Louis, MO). Grain traffic originating below Lock 27 on the Mississippi is about 10 to 30 percent of total downbound grain shipments, which varies year to year. A similar dataset, "Upbound and Downbound Loaded and Empty Barge Movements (Count)," contains information on the count of grain barges moving down the locking system (https://agtransport.usda.gov/d/w6ip-grsn) versus this dataset that shows tonnages. Data is collected weekly from the U.S. Army Corps of Engineers' Lock Performance Monitoring System.

  • API

    Citizen Satisfaction Survey Results Previous Years To Present

    data.kcmo.org | Last Updated 2023-08-23T17:37:21.000Z

    This data set contains citizen satisfaction survey results. The citizen survey is administered on a quarterly basis. See the report by visiting https://data.kcmo.org/dataset/2013-14-Kansas-City-Missouri-Citizen-Satisfaction-/m8hg-mhad.

  • API

    City-Level Descriptive Statistics for GHG Inventory

    data.kcmo.org | Last Updated 2023-12-28T16:26:45.000Z

    This data set contains community statistics that were used to calculate greenhouse gas emissions (GHG) for the purposes of the 2013 GHG inventory. Data sources include US Census Bureau, Mid-America Regional Council (MARC), Jackson County Assessor Office, KCP&L electric company, Missouri Gas/Laclede gas company, Federal Highway Administration Office of Highway Policy Information Highway Statistics Series, Climate Action and Climate Protection Software notes, Kansas City Area Transit Authority (KCATA), EPA flight and large emitter website (http://ghgdata.epa.gov), City of Kansas City PUblic Words and Water Services Departments

  • API

    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.

  • API

    SPDES Multi-Sector General Permit (MSGP) Facilities

    data.ny.gov | Last Updated 2023-04-14T19:16:46.000Z

    The SPDES Multi-Sector General Permit (MSGP), which is administered by the Department of Environmental Conservation (the Department), regulates stormwater discharges associated with industrial activity from a point source. The MSGP covers thirty one different industrial sectors which include activities such as mining, land transportation, and scrap recycling. The dataset displays information on facilities that have active MSGP coverage in New York State. Information included in the data set include the facility’s name, address, contact information, industrial sector(s), discharging waterbody, and location of the facility’s Stormwater Pollution Prevention Plan. For more information, please go to http://www.dec.ny.gov/chemical/62803.html.

  • API

    NNDSS - Table 1C. Arboviral diseases, St. Louis encephalitis virus disease to West Nile virus disease

    data.cdc.gov | Last Updated 2022-01-12T18:33:51.000Z

    NNDSS - Table 1C. Arboviral diseases, St. Louis encephalitis virus disease to West Nile virus disease - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island. Note: This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. Footnotes: U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data. -: No reported cases — The reporting jurisdiction did not submit any cases to CDC. N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction. NN: Not nationally notifiable — This condition was not designated as being nationally notifiable. NP: Nationally notifiable but not published. NC: Not calculated — There is insufficient data available to support the calculation of this statistic. Cum: Cumulative year-to-date counts. Max: Maximum — Maximum case count during the previous 52 weeks. * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. †Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).

  • API

    Energy, Air & Climate Impacts of City-Owned Buildings in Kansas City, MO (2016)

    data.kcmo.org | Last Updated 2023-12-28T16:37:19.000Z

    2016 Energy and Water consumption for city owned buildings submitted in 2017. This data is part of the Energy Empowerment Program aimed at allowing building owners to use data to make energy efficient decisions.

  • API

    State Highway Work Permits Issued: Beginning 2010

    data.ny.gov | Last Updated 2022-02-15T22:40:06.000Z

    Highway Work Permits are issued by the New York State Department of Transportation (DOT) for any work conducted in the NY State highway right of way. The review and approval of proposed work in the right of way is important to keep the complex and heavily used transportation system operating efficiently, reliably and safely. The Highway Work Permits dataset is a listing of all work permits issued on an annual basis. Highway Work Permits ensure that any work done within the State right of way and the resulting finished project meets the standards and policies of public safety, highway laws and regulations, preservation and function of the highway, and that the work is in the best interests of the traveling public as well as the owner of the project. This dataset includes information on the term of the permits, type of work, applicant name and location of the work.