Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of St. Louis by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for St. Louis. The dataset can be utilized to understand the population distribution of St. Louis by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in St. Louis. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for St. Louis.
Key observations
Largest age group (population): Male # 30-34 years (695) | Female # 20-24 years (197). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for St. Louis Population by Gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of St. Louis by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of St. Louis across both sexes and to determine which sex constitutes the majority.
Key observations
There is a slight majority of female population, with 52.75% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for St. Louis Population by Race & Ethnicity. You can refer the same here
This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).
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Graph and download economic data for All Employees: Manufacturing in St. Louis, MO-IL (MSA) (STLMFG) from Jan 1990 to Jul 2025 about St. Louis, MO, IL, manufacturing, employment, and USA.
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Graph and download economic data for Unemployed Persons in St. Louis City, MO (LAUCN295100000000004A) from 1990 to 2024 about St. Louis City, MO; St. Louis; MO; household survey; unemployment; persons; and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Historical dataset of population level and growth rate for the St. Louis metro area from 1950 to 2025.
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Graph and download economic data for Employed Persons in St. Louis City, MO (LAUCN295100000000005) from Jan 1990 to Jul 2025 about St. Louis City, MO; St. Louis; MO; persons; household survey; employment; and USA.
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Graph and download economic data for Unemployment Rate in St. Louis City, MO (MOSSURN) from Jan 1990 to Jul 2025 about St. Louis City, MO; St. Louis; MO; unemployment; rate; and USA.
Financial overview and grant giving statistics of St Louis Service Bureau
Financial overview and grant giving statistics of Sisters Of St Louis
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Graph and download economic data for Economic Conditions Index for St. Louis, MO-IL (MSA) (DISCONTINUED) (STLAGRIDX) from Feb 1990 to Dec 2019 about St. Louis, academic data, MO, IL, indexes, and USA.
Financial overview and grant giving statistics of Real St Louis
Financial overview and grant giving statistics of St. Louis Product Management Group
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Graph and download economic data for Unemployed Persons in St. Louis County, MO (LAUCN291890000000004) from Jan 1990 to Jun 2025 about St. Louis County, MO; St. Louis; MO; persons; household survey; unemployment; and USA.
These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in comma-delimited table format, generated from hydrographic and velocimetric surveys near highway bridge structures over the Missouri River between Kansas City and St. Louis, Missouri, May 19–26, 2021. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach. Data collection software integrated and stored the depth data from the MBES and the horizontal and vertical position and attitude data of the vessel from the INS in real time. Data processing required specialized computer software to extract bathymetry data from the raw data files and to summarize and map the information. Velocity data for the surveys were collected using an acoustic Doppler current profiler (ADCP) mounted on a survey vessel equipped with a differential global positioning system (DGPS). Velocity data were collected for all sites except site 14 at Lexington due to a faulty ADCP unit. Data were collected as the vessel traversed the river along seven planned transect lines distributed throughout the reach. Velocity data were processed using the Velocity Mapping Toolbox (Parsons and others, 2013), and smoothed using neighboring nodes. There is a zip file for the 8 surveyed sites available for download containing the bathymetric data and depth-averaged velocities. The files follow the format of "site-##_MissouriRiver_HWY#_2021-05.zip", where "site-##" is the site number from 14 to 21 and "HWY#" is the highway type and route number. The zip files each contain two comma-delimited text files, one with the bathymetry and uncertainty data and one with the depth-averaged velocity data, as well as associated metadata and thumbnail images. Reference cited: Parsons, D.R., Jackson, P.R., Czuba, J.A., Engel, F.L., Rhoads, B.L., Oberg, K.A., Best, J.L., Mueller, D.S., Johnson, K.K., and Riley, J.D., 2013, Velocity Mapping Toolbox (VMT) A process and visualization suite for moving-vessel ADCP measurements: Earth Surface Processes and Landforms, v. 38, no. 11, p. 1244-1260. [Also available at https://doi.org/10.1002/esp.3367.]
This dataset provides information about the number of properties, residents, and average property values for 1st Street cross streets in Saint Louis, MO.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Estimate of Median Household Income for St. Louis County, MO was 81631.00000 $ in January of 2023, according to the United States Federal Reserve. Historically, Estimate of Median Household Income for St. Louis County, MO reached a record high of 81631.00000 in January of 2023 and a record low of 38596.00000 in January of 1989. Trading Economics provides the current actual value, an historical data chart and related indicators for Estimate of Median Household Income for St. Louis County, MO - last updated from the United States Federal Reserve on September of 2025.
Financial overview and grant giving statistics of Better Business Bureau of Greater St. Louis Foundation Inc.
This dataset provides information about the number of properties, residents, and average property values for Ahern Avenue cross streets in Saint Louis, MO.
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Graph and download economic data for Average Weekly Earnings of Production Employees: Financial Activities in St. Louis, MO-IL (MSA) (SMU29411805500000030) from Jan 2003 to Jul 2025 about St. Louis, MO, IL, earnings, financial, production, employment, and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of St. Louis by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for St. Louis. The dataset can be utilized to understand the population distribution of St. Louis by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in St. Louis. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for St. Louis.
Key observations
Largest age group (population): Male # 30-34 years (695) | Female # 20-24 years (197). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for St. Louis Population by Gender. You can refer the same here