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Graph and download economic data for Resident Population in Dane County, WI (WIDANE5POP) from 1970 to 2024 about Dane County, WI; Madison; WI; residents; population; and USA.
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Graph and download economic data for Resident Population in Milwaukee County, WI (WIMILW5POP) from 1970 to 2024 about Milwaukee County, WI; Milwaukee; WI; residents; population; and USA.
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The dataset tabulates the Brown County 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 Brown County 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 Brown County was 271,417, a 0.50% increase year-by-year from 2022. Previously, in 2022, Brown County population was 270,068, an increase of 0.43% compared to a population of 268,899 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Brown County increased by 44,076. In this period, the peak population was 271,417 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. 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 Brown County Population by Year. You can refer the same here
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The dataset tabulates the Dane County 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 Dane County 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 Dane County was 575,347, a 1.34% increase year-by-year from 2022. Previously, in 2022, Dane County population was 567,758, an increase of 1.11% compared to a population of 561,542 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Dane County increased by 146,789. In this period, the peak population was 575,347 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. 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 Dane County Population by Year. You can refer the same here
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The dataset tabulates the York town 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 York town 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 York town was 682, a 0.15% decrease year-by-year from 2022. Previously, in 2022, York town population was 683, a decline of 1.73% compared to a population of 695 in 2021. Over the last 20 plus years, between 2000 and 2023, population of York town decreased by 2. In this period, the peak population was 704 in the year 2009. 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 York town Population by Year. You can refer the same here
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This list ranks the 72 counties in the Wisconsin by Asian population, as estimated by the United States Census Bureau. It also highlights population changes in each counties over the past five years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:
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/.
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The dataset tabulates the Dodge County 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 Dodge County 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 Dodge County was 88,231, a 0.16% decrease year-by-year from 2022. Previously, in 2022, Dodge County population was 88,374, a decline of 0.36% compared to a population of 88,689 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Dodge County increased by 2,269. In this period, the peak population was 89,353 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 Dodge County Population by Year. You can refer the same here
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TwitterThis 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. County subdivisions are the primary divisions of counties and equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. In MCD states where no MCD exists or is not defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The boundaries of most legal MCDs are as of January 1, 2024, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CCDs are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.
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Graph and download economic data for Resident Population in Waukesha County, WI (WIWAUK3POP) from 1970 to 2024 about Waukesha County, WI; Milwaukee; WI; residents; population; and USA.
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The dataset tabulates the Vilas County 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 Vilas County 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 Vilas County was 23,885, a 0.60% increase year-by-year from 2022. Previously, in 2022, Vilas County population was 23,742, an increase of 1% compared to a population of 23,508 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Vilas County increased by 2,717. In this period, the peak population was 23,885 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. 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 Vilas County Population by Year. You can refer the same here
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This list ranks the 72 counties in the Wisconsin by Indian population, as estimated by the United States Census Bureau. It also highlights population changes in each county over the past five years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:
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/.
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The dataset tabulates the Portage County 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 Portage County. The dataset can be utilized to understand the population distribution of Portage County by age. For example, using this dataset, we can identify the largest age group in Portage County.
Key observations
The largest age group in Portage County, WI was for the group of age 20 to 24 years years with a population of 7,845 (11.15%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Portage County, WI was the 85 years and over years with a population of 1,145 (1.63%). 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 Portage County Population by Age. You can refer the same here
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Graph and download economic data for Resident Population in Green County, WI (WIGREE5POP) from 1970 to 2024 about Green County, WI; WI; residents; population; and USA.
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Graph and download economic data for Resident Population in Brown County, WI (WIBROW9POP) from 1970 to 2024 about Brown County, WI; Green Bay; WI; residents; population; and USA.
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TwitterComprehensive demographic dataset for Milwaukee County, WI, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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The dataset tabulates the Seymour town 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 Seymour town. The dataset can be utilized to understand the population distribution of Seymour town by age. For example, using this dataset, we can identify the largest age group in Seymour town.
Key observations
The largest age group in Seymour Town, Eau Claire County, Wisconsin was for the group of age 55 to 59 years years with a population of 313 (9.36%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Seymour Town, Eau Claire County, Wisconsin was the 85 years and over years with a population of 39 (1.17%). 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 Seymour town Population by Age. You can refer the same here
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TwitterComprehensive demographic dataset for Winnebago County, WI, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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TwitterComprehensive demographic dataset for Oneida County, WI, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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The dataset tabulates the Clayton town 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 Clayton town. The dataset can be utilized to understand the population distribution of Clayton town by age. For example, using this dataset, we can identify the largest age group in Clayton town.
Key observations
The largest age group in Clayton Town, Winnebago County, Wisconsin was for the group of age 55 to 59 years years with a population of 586 (13.21%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Clayton Town, Winnebago County, Wisconsin was the 85 years and over years with a population of 27 (0.61%). 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 Clayton town Population by Age. You can refer the same here
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The dataset tabulates the Lima town 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 Lima town. The dataset can be utilized to understand the population distribution of Lima town by age. For example, using this dataset, we can identify the largest age group in Lima town.
Key observations
The largest age group in Lima Town, Rock County, Wisconsin was for the group of age 35 to 39 years years with a population of 173 (12.48%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Lima Town, Rock County, Wisconsin was the 85 years and over years with a population of 23 (1.66%). 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 Lima town Population by Age. You can refer the same here
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Graph and download economic data for Resident Population in Dane County, WI (WIDANE5POP) from 1970 to 2024 about Dane County, WI; Madison; WI; residents; population; and USA.