The population density of Jackson County, MO was 1,145 in 2018. The population density of St. Louis city, MO was 5,028 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 -
Geographic and Population Datasets Involving Jackson County, MO or St. Louis city, MO
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Population by Neighborhood
data.kcmo.org | Last Updated 2023-12-28T20:19:02.000ZThis dataset was provided by the City Planning and Development Department and contains population figures for each Kansas City, Missouri Neighborhood according to the 2010 Census.
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MO State Park Bison Locations
data.mo.gov | Last Updated 2019-02-15T19:52:38.000ZThis dataset is composed of the latitude and longitude coordinates for the three bison located at MO State Park.
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Downbound Barge Grain Movements (Tons)
internal.agtransport.usda.gov | Last Updated 2024-05-30T16:09:27.000ZThe 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.
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Teen Births By ZIP Code 2013
impact.stlouisco.com | Last Updated 2016-02-05T22:00:14.000ZThis 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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NNDSS - Table 1C. Arboviral diseases, St. Louis encephalitis virus disease to West Nile virus disease
data.cdc.gov | Last Updated 2022-01-12T18:33:51.000ZNNDSS - 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).
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Births to Teen Girls Ages 10-19
impact.stlouisco.com | Last Updated 2016-02-05T18:03:29.000ZThis 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.
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Energy, Air & Climate Impacts of City-Owned Buildings in Kansas City, MO (2016)
data.kcmo.org | Last Updated 2023-12-28T16:37:19.000Z2016 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.