The population density of St. Louis County, MO was 1,967 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 St. Louis County, MO
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Downbound Barge Grain Movements (Tons)
internal.agtransport.usda.gov | Last Updated 2024-05-09T16:22:29.000ZThe 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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Third Grader English-Language Arts & Math Proficiency
impact.stlouisco.com | Last Updated 2016-03-23T10:45:04.000ZThis dataset includes counts and rates for scores which met or exceeded proficiency standards on the Missouri Assessment Program (MAP) English-Language Arts and Math tests. The dataset only includes counts for third grade test takers. The Missouri Department of Elementary & Secondary Education (DESE) collects, maintains and publishes Below Basic, Basic, Proficient and Advanced counts and rates for the state and all public school districts. Proficient or Advanced Rate is calculated as: ((Proficient Results + Advanced Results) / (Reportable Results - Level Not Determined)) x 100
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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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Maryland Resident Population Per Square Mile: 2010-2020
opendata.maryland.gov | Last Updated 2024-03-11T18:51:03.000ZResident population density for Maryland and Jurisdictions per square mile from 2010 to 2020. Source: U.S. Bureau of Census
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Substantiated Incidents of Abuse Experienced by Youth Ages 0-17 Years- St. Louis County
impact.stlouisco.com | Last Updated 2016-01-30T12:20:17.000ZThis dataset includes annual counts and rates for incidents of substantiated abuse experienced in St. Louis County by youth ages 0-17 years as reported to the Missouri Department of Social Services, Children’s Division. Substantiated incidents abuse are those where there is a finding that a preponderance of evidence exists to conclude abuse/neglect has occurred or is occurring as a result of the observation of visible signs, physical and/or credible verbal evidence provided to the Children’s Service Worker by the child, perpetrator or witnesses in accordance with the definitions of abuse/neglect. Categories of abuse include physical, neglect, emotional, educational neglect and sexual abuse.
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Student Discipline Incidents By St. Louis County School Districts
impact.stlouisco.com | Last Updated 2016-03-21T00:56:40.000ZThis dataset includes annual counts of student disciplinary incidents reported by all public school districts (including the Special School District) in St. Louis County to the Missouri Department of Elementary and Secondary Education. ‘School Year’ represents the academic year ending in the year reported in the dataset. For example, School Year 2015 reflects incidents for the 2014-2015 academic year. Reported incidents only include those that required the removal of the student from the classroom for 10 consecutive days or more. Removals include in-school suspension, out-of-school suspension and expulsion.
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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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Student Disciplinary Incidents- Aggregated Data for All Public School Districts in St. Louis County
impact.stlouisco.com | Last Updated 2016-01-27T21:50:53.000ZThis dataset includes annual counts of student disciplinary incidents reported by all public school districts (including the Special School District) in St. Louis County to the Missouri Department of Elementary and Secondary Education. ‘School Year’ represents the academic year ending in the year reported in the dataset. For example, School Year 2015 reflects incidents for the 2014-2015 academic year. Reported incidents only include those that required the removal of the student from the classroom for 10 consecutive days or more. Removals include in-school suspension, out-of-school suspension and expulsion.
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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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Substantiated Incidents of Abuse Experienced by Youth Ages 0-17 Years-2014 Only
impact.stlouisco.com | Last Updated 2016-01-30T13:18:10.000ZThis dataset includes annual counts and rates for incidents of substantiated abuse experienced in St. Louis County by youth ages 0-17 years as reported to the Missouri Department of Social Services, Children’s Division. Substantiated incidents abuse are those where there is a finding that a preponderance of evidence exists to conclude abuse/neglect has occurred or is occurring as a result of the observation of visible signs, physical and/or credible verbal evidence provided to the Children’s Service Worker by the child, perpetrator or witnesses in accordance with the definitions of abuse/neglect. Categories of abuse include physical, neglect, emotional, medical, educational neglect and sexual abuse.