Graph and download economic data for Resident Population in St. Louis City, MO (MOSSPOP) from 1970 to 2024 about St. Louis City, MO; St. Louis; MO; residents; population; and USA.

About this dataset

Context

The dataset tabulates the St. Louis population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of St. Louis across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of St. Louis was 281,754, a 1.55% decrease year-by-year from 2022. Previously, in 2022, St. Louis population was 286,193, a decline of 2.53% compared to a population of 293,622 in 2021. Over the last 20 plus years, between 2000 and 2023, population of St. Louis decreased by 65,183. In this period, the peak population was 346,937 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the St. Louis is shown in this column.
• Year on Year Change: This column displays the change in St. Louis population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for St. Louis Population by Year. You can refer the same here

Comprehensive demographic dataset for Saint Louis, MO, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

About this dataset

Context

The dataset tabulates the population of St. Louis by race. It includes the population of St. Louis across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of St. Louis across relevant racial categories.

Key observations

The percent distribution of St. Louis population by race (across all racial categories recognized by the U.S. Census Bureau): 45.71% are white, 43.11% are Black or African American, 0.24% are American Indian and Alaska Native, 3.42% are Asian, 0.03% are Native Hawaiian and other Pacific Islander, 1.61% are some other race and 5.88% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the St. Louis
• Population: The population of the racial category (excluding ethnicity) in the St. Louis is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of St. Louis total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for St. Louis Population by Race & Ethnicity. You can refer the same here

Comprehensive demographic dataset for North Saint Louis, Saint Louis, MO, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

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).

About this dataset

Context

The dataset tabulates the data for the Lake St. Louis, MO population pyramid, which represents the Lake St. Louis population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Lake St. Louis, MO, is 23.7.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Lake St. Louis, MO, is 30.4.
• Total dependency ratio for Lake St. Louis, MO is 54.1.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Lake St. Louis, MO is 3.3.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Lake St. Louis population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Lake St. Louis for the selected age group is shown in the following column.
• Population (Female): The female population in the Lake St. Louis for the selected age group is shown in the following column.
• Total Population: The total population of the Lake St. Louis for the selected age group is shown in the following column.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Lake St. Louis Population by Age. You can refer the same here

Comprehensive demographic dataset for Lake Saint Louis, MO, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

In 2023, the population of the St. Louis metropolitan area in the United States was about 2.79 million people. This is a slight decrease in comparison to the previous year, when the population was 2.8 million people.

Graph and download economic data for Estimate, Median Age by Sex, Total Population (5-year estimate) in St. Louis city, MO (B01002001E029510) from 2009 to 2023 about St. Louis City, MO; St. Louis; age; MO; 5-year; median; and USA.

Comprehensive demographic dataset for Midtown Saint Louis, Saint Louis, MO, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, Some Other Race Alone (5-year estimate) in St. Louis County, MO (B03002008E029189) from 2009 to 2023 about St. Louis County, MO; St. Louis; non-hispanic; MO; estimate; 5-year; persons; population; and USA.

Graph and download economic data for Population Estimate, Total (5-year estimate) in St. Louis County, MO (B03002001E029189) from 2009 to 2023 about St. Louis County, MO; St. Louis; MO; estimate; 5-year; persons; population; and USA.

Comprehensive demographic dataset for Downtown Saint Louis, Saint Louis, MO, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

About this dataset

Context

The dataset tabulates the St. Louis city population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for St. Louis city. The dataset can be utilized to understand the population distribution of St. Louis city by age. For example, using this dataset, we can identify the largest age group in St. Louis city.

Key observations

The largest age group in St. Louis city, MO was for the group of age 25-29 years with a population of 31,444 (10.38%), according to the 2021 American Community Survey. At the same time, the smallest age group in St. Louis city, MO was the 80-84 years with a population of 3,867 (1.28%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the St. Louis city is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of St. Louis city total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for St. Louis city Population by Age. You can refer the same here

As included in this EnviroAtlas dataset, the community level domestic water use is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). Two reports were used with city- or water supply authority- level domestic water demand data, in addition to county level data. The 2013 Jefferson County Data Book provides detailed publicly, privately, and self supplied water use and population served for 2013 and covers the Jefferson County, MO portion of the EnviroAtlas study area. The 2019 Census of Missouri Public Water Systems provides detailed publicly supplied water use and population served for 2019 and covers all of Missouri. The 2010 USGS Estimated Use of Water in the United States in 2010 report covers the missing areas, including counties in Illinois within the study area. Data from these reports were weighted across publicly, privately, and self-supplied sources by population served, resulting in a single water use estimate between 25 and 427 GPD for each of the subregions in the study area. 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).

This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads shapefile includes all features within the MTS Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in the MTS that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in St. Louis city, MO, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 9,571, while the mean income for the highest quintile (20% of households with the highest income) is 203,950. This indicates that the top earners earn 21 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 355,425, which is 174.27% higher compared to the highest quintile, and 3713.56% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for St. Louis city median household income. You can refer the same here

Graph and download economic data for Net County-to-County Migration Flow (5-year estimate) for St. Louis city, MO (DISCONTINUED) (NETMIGNACS029510) from 2009 to 2020 about St. Louis City, MO; migration; St. Louis; flow; MO; Net; 5-year; and population.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Address Ranges Feature Shapefile (ADDRFEAT.dbf) contains the geospatial edge geometry and attributes of all unsuppressed address ranges for a county or county equivalent area. The term "address range" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. Single-address address ranges have been suppressed to maintain the confidentiality of the addresses they describe. Multiple coincident address range feature edge records are represented in the shapefile if more than one left or right address ranges are associated to the edge. The ADDRFEAT shapefile contains a record for each address range to street name combination. Address range associated to more than one street name are also represented by multiple coincident address range feature edge records. Note that the ADDRFEAT shapefile includes all unsuppressed address ranges compared to the All Lines Shapefile (EDGES.shp) which only includes the most inclusive address range associated with each side of a street edge. The TIGER/Line shapefile contain potential address ranges, not individual addresses. The address ranges in the TIGER/Line Files are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist.