In 2023, the population of the Minneapolis-St. Paul-Bloomington metropolitan area in the United States was about 3.71 million people. This is a somewhat similar increase from the previous year, when the population was also about 3.69 million people.
In 2022, the Minneapolis–Saint Paul metro area real gross domestic product (GDP) amounted to ***** billion U.S. dollars. This is a large increase from the real GDP value in 2001 which came to ****** billion U.S. dollars.
Minneapolis–Saint Paul is the most populous urban area in the state of Minnesota, United States, and is composed of *** cities and townships. Built around the Mississippi, Minnesota and St. Croix rivers, the area is also nicknamed the Twin Cities for its *** largest cities, Minneapolis and Saint Paul, the former the larger and the latter the state capital. It is a classic example of twin cities in geography.
The area is part of a larger U.S. Census division named Minneapolis-St. Paul-Bloomington, MN-WI, the country's ****-largest metropolitan area composed of ** counties in Minnesota and *** counties in Wisconsin. This larger area in turn is enveloped in the U.S. Census combined statistical area called Minneapolis-St. Paul-St. Cloud, MN-WI with an estimated population of **** million people in 2022, ranked the **** most populous in the U.S.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Employed Persons in Minneapolis-St. Paul-Bloomington, MN-WI (MSA) (LAUMT273346000000005) from Jan 1990 to May 2025 about Minneapolis, MN, WI, household survey, employment, persons, 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 St. Paul 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. Paul 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. Paul was 303,820, a 0.20% decrease year-by-year from 2022. Previously, in 2022, St. Paul population was 304,436, a decline of 1.05% compared to a population of 307,677 in 2021. Over the last 20 plus years, between 2000 and 2023, population of St. Paul increased by 16,742. In this period, the peak population was 311,140 in the year 2020. 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
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. Paul Population by Year. You can refer the same here
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Civilian Labor Force in Minneapolis-St. Paul-Bloomington, MN-WI (MSA) (LAUMT273346000000006A) from 1990 to 2024 about Minneapolis, MN, civilian, WI, labor force, labor, household survey, and USA.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Unemployment Rate in Minneapolis-St. Paul-Bloomington, MN-WI (MSA) (LAUMT273346000000003A) from 1990 to 2024 about Minneapolis, MN, WI, household survey, unemployment, rate, 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 South St. Paul 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 South St. Paul 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 South St. Paul was 20,664, a 0.80% increase year-by-year from 2022. Previously, in 2022, South St. Paul population was 20,501, a decline of 0.20% compared to a population of 20,543 in 2021. Over the last 20 plus years, between 2000 and 2023, population of South St. Paul increased by 504. In this period, the peak population was 20,712 in the year 2020. 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
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 South St. Paul Population by Year. 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 St. Paul 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. Paul. The dataset can be utilized to understand the population distribution of St. Paul by age. For example, using this dataset, we can identify the largest age group in St. Paul.
Key observations
The largest age group in St. Paul, MN was for the group of age 25 to 29 years years with a population of 27,928 (9.07%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in St. Paul, MN was the 80 to 84 years years with a population of 3,367 (1.09%). 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:
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. Paul Population by Age. 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 data for the St. Paul, MN population pyramid, which represents the St. Paul 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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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. Paul Population by Age. 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 St. Paul Park 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. Paul Park 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 2022, the population of St. Paul Park was 5,427, a 1.18% decrease year-by-year from 2021. Previously, in 2021, St. Paul Park population was 5,492, a decline of 0.88% compared to a population of 5,541 in 2020. Over the last 20 plus years, between 2000 and 2022, population of St. Paul Park increased by 325. In this period, the peak population was 5,541 in the year 2020. 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
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. Paul Park Population by Year. 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 data for the St. Paul, MN population pyramid, which represents the St. Paul population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey 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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
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. Paul Population by Age. You can refer the same here
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Unemployed Persons in Minneapolis-St. Paul-Bloomington, MN-WI (MSA) (LAUMT273346000000004) from Jan 1990 to Apr 2025 about Minneapolis, MN, WI, household survey, unemployment, persons, and USA.
description: The trend coward developing suburban housing interspersed with parks and greenways has resulted in ideal situations for skyrocketting metropolitan deer populations. This is particularly evident in the Minneapolis-St. Paul, Minnesota area where parks are liberally placed throughout the urban landscape. The Minnesota Valley National Wildlife Refuge is located in this metropolitan area and has experienced winter population numbers estimated to be as high as 280 deer/sq. mi.; abstract: The trend coward developing suburban housing interspersed with parks and greenways has resulted in ideal situations for skyrocketting metropolitan deer populations. This is particularly evident in the Minneapolis-St. Paul, Minnesota area where parks are liberally placed throughout the urban landscape. The Minnesota Valley National Wildlife Refuge is located in this metropolitan area and has experienced winter population numbers estimated to be as high as 280 deer/sq. mi.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the St. Paul Park 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. Paul Park. The dataset can be utilized to understand the population distribution of St. Paul Park by age. For example, using this dataset, we can identify the largest age group in St. Paul Park.
Key observations
The largest age group in St. Paul Park, MN was for the group of age 45 to 49 years years with a population of 569 (10.41%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in St. Paul Park, MN was the 85 years and over years with a population of 71 (1.30%). 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:
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. Paul Park Population by Age. You can refer the same here
https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html
A variety of human activities have been identified as driving factors for the release and spread of invasive earthworm species in North America. Population genetic markers can help to identify locally relevant anthropogenic vectors and provide insights into the processes of population dispersal and establishment. We sampled the invasive European earthworm species Lumbricus terrestris at nine sites and several bait shops within the metropolitan area of Minneapolis-St. Paul in Minnesota, USA. We used microsatellite markers to infer genetic diversity and population structure, and 16S rDNA to address multiple introduction events, including bait dumping, which is a common source of L. terrestris introductions into the wild. Our results indicate multiple introductions but not from current bait dumping. Overall, genetic structure was low and earthworms >5000 m apart were genetically differentiated, except for one sampling location, indicating jump-dispersal followed by population establishment. Further, earthworms at one location north of Minneapolis established from one or few founder individuals, suggesting that earthworm invasions are ongoing. We therefore encourage further monitoring of earthworm populations using molecular markers, in order to disentangle the different human-related vectors contributing to the spread of earthworms and their establishment, which is essential to develop adequate management strategies.
https://www.etalab.gouv.fr/licence-ouverte-open-licencehttps://www.etalab.gouv.fr/licence-ouverte-open-licence
This dataset lists key population figures since 2012 for the city of Saint-Paul-lès-Dax. It consists of an annual survey of the various data. These data are derived from INSEE data and the civil status of the city of Saint-Paul-lès-Dax.
“’ Topics: Administration and public action Keywords: Citizenship, Insee, Population, Census, Statistics Update of data: Annual “’
This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The window views are considered "potential" because the procedure does not account for presence or directionality of windows in one's home. The residential locations are defined using the EnviroAtlas Dasymetric (2011/October 2015) map. 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).
https://www.icpsr.umich.edu/web/ICPSR/studies/7374/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/7374/terms
This study represents one of four research projects on service delivery systems in metropolitan areas, covering fire protection (DECISION-RELATED RESEARCH ON THE ORGANIZATION OF SERVICE DELIVERY SYSTEMS IN METROPOLITAN AREAS: FIRE PROTECTION [ICPSR 7409]), police protection (DECISION-RELATED RESEARCH ON THE ORGANIZATION OF SERVICE DELIVERY SYSTEMS IN METROPOLITAN AREAS: POLICE PROTECTION [ICPSR 7427]), solid waste management (DECISION-RELATED RESEARCH ON THE ORGANIZATION OF SERVICE DELIVERY SYSTEMS IN METROPOLITAN AREAS: SOLID WASTE MANAGEMENT [ICPSR 7487]), and public health (the present study). All four projects used a common unit of analysis, namely all 200 Standard Metropolitan Statistical Areas (SMSAs) that, according to the 1970 Census, had a population of less than 1,500,000 and were entirely located within a single state. In each project, a limited amount of information was collected for all 200 SMSAs. More extensive data were gathered within independently drawn samples of these SMSAs, for all local geographical units and each administrative jurisdiction or agency in the service delivery areas. Two standardized systems of geocoding -- the Federal Information Processing Standard (FIPS) codes and the Office of Revenue Sharing (ORS) codes -- were used, so that data from various sources could be combined. The use of these two coding schemes also allows users to combine data from two or more of the research projects conducted in conjunction with the present one, or to add data from a wide variety of public data files. The delivery of public health services was investigated in 200 SMSAs plus Minneapolis and St. Paul. The basic data collection effort involved the use of public data sources as well as proprietary data from the American Medical Association (AMA) and the Commission on Professional and Hospital Activities (CPHA). Because of the proprietary nature of some of the data and for the preservation of confidentiality, all analyses were performed at the SMSA level. Unlike the other three related research projects, the present study does not provide disaggregated units of analysis such as the administrative jurisdiction, the individual hospital, or other facilities. Variables describe the characteristics of available professionals and facilities, regulatory factors reflecting the impact of federal and state programs available in the area, and financing factors, including the coverage of state Medicaid programs, Blue Cross and Blue Shield, and Medicare programs. Information is also provided regarding the demographic and socioeconomic characteristics of the population served in each SMSA.
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. Paul by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for St. Paul. The dataset can be utilized to understand the population distribution of St. Paul by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in St. Paul. 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. Paul.
Key observations
Largest age group (population): Male # 30-34 years (14,256) | Female # 25-29 years (14,318). 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. Paul Population by Gender. You can refer the same here
This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). 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).
In 2023, the population of the Minneapolis-St. Paul-Bloomington metropolitan area in the United States was about 3.71 million people. This is a somewhat similar increase from the previous year, when the population was also about 3.69 million people.