Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Chart and table of population level and growth rate for the state of New York from 1900 to 2024.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Germantown 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 Germantown 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 Germantown town was 1,903, a 0.89% decrease year-by-year from 2022. Previously, in 2022, Germantown town population was 1,920, a decline of 1.64% compared to a population of 1,952 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Germantown town decreased by 130. In this period, the peak population was 2,045 in the year 2004. 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 Germantown town 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 Brant 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 Brant 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 Brant town was 1,925, a 0.26% increase year-by-year from 2022. Previously, in 2022, Brant town population was 1,920, a decline of 0.05% compared to a population of 1,921 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Brant town increased by 22. In this period, the peak population was 2,076 in the year 2013. 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 Brant town Population by Year. You can refer the same here
https://www.icpsr.umich.edu/web/ICPSR/studies/33/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/33/terms
This data collection contains three files of county-level electoral returns for Ohio, Michigan, Nebraska, and New York in the period 1912, and 1920-1940. The data files were prepared for instructional use in the ICPSR Training Program and for graduate-level social science courses at the University of Michigan and other university campuses. They contain social, demographic, electoral, and economic data for various areas of the United States, usually for an extended period of time. Part 1, Ohio Referenda Counties as Units, and Part 2, Ohio Referenda as Units, consist of county-level returns for 42 referenda in the 1912 general election in Ohio. Data are provided for the names of counties, votes in the affirmative, total number of votes, and percentage of the "yes" votes for referenda on issues such as civil juries, capital punishment, governor's veto, workmen's compensation, 8-hour day, removal of elected officials, prison labor, women's suffrage, and taxes. The referenda included many questions considered important in the Progressive Movement. Part 3, Data Sets for Three States (Michigan, Nebraska, and New York), consists of electoral returns for the offices of president, governor, and United States representative, as well as ecological and population characteristics data in the period 1920-1940. Data are provided for the raw votes and percentage of the total votes received by the Democratic, Republican, Progressive, and other parties. Items also provide information on population characteristics, such as the total number of population, voting age population, urban population, and persons of other races, and school attendance and religion. Economic variables provide information on local government expenditures and revenues, agriculture and manufacturing, employment and unemployment, and the total number of banks and bank deposits.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Middletown town population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Middletown town. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.
Key observations
The largest age group was 18 to 64 years with a poulation of 1,920 (57.31% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Age cohorts:
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 Middletown town Population by Age. You can refer the same here
Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Worries about the impact of COVID-19 on pregnant mothers and their offspring are widespread. Data from New York City in 2020 and Philadelphia in 1918 were used to compare to COVID-19 mortality rates versus Spanish Flu mortality rates by age and gender. The data show that COVID-19 mortality rates have been much higher for individuals over 60 compared to the Spanish Flu, which had much higher mortality rates for people between the ages of 20-40. Data on COVID-19 death counts for New York City from Centers for Disease Control and Prevention (2020) combined with population estimates for 2017 from New York State Department of Health (2017). Data on Spanish Influenza from Rogers (1920). Data is accessible to people who have an OPEN ICPSR account.
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Chart and table of population level and growth rate for the state of New York from 1900 to 2024.