Chart and table of population level and growth rate for the state of New York from 1900 to 2024.

About this dataset

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).

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 Germantown town is shown in this column.
• Year on Year Change: This column displays the change in Germantown town 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 Germantown town Population by Year. You can refer the same here

About this dataset

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).

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 Brant town is shown in this column.
• Year on Year Change: This column displays the change in Brant town 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 Brant town Population by Year. You can refer the same here

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.

New York City besaß Schätzungen zufolge im Jahr 2023 rund 8,26 Millionen Einwohner. Damit ist der "Big Apple" gegenüber 2020 etwas geschrumpft. Zwischen 1759 und 1950 ist die Einwohnerzahl dagegen nahezu kontinuierlich gestiegen. Grund für die Stagnation beziehungsweise Abnahme der Bevölkerung in den folgenden Jahren und Jahrzehnten war unter anderem eine starke Steigerung der Kriminalität, die erst durch politische und polizeiliche Maßnahmen ab Anfang der 90er-Jahre wieder gesenkt werden konnte. Gründung der Stadt und Entwicklung bis 1800 New York City wurde als niederländische Kolonie im Jahr 1624 gegründet und bekam den Namen Nieuw Amsterdam. 1664 wurde die Stadt der britischen Marine kampflos eingenommen und bekam den Namen New York. Das 18. Jahrhundert war für die Stadt von erstem Wachstum geprägt, 1750 zählte die Stadt am Hudson River bereits 22.000 Einwohner, zur Jahrhundertwende waren es bereits mehr als 60.000. Geschichte der Stadt seit 1800 Ab dem 19. Jahrhundert beschleunigte sich das Wachstum: Ein neues Straßennetz, die Fertigstellung des Eriekanals (eine Verbindung zu den Großen Seen) und die Verbindung der heutigen Stadtbezirke Manhattan, Brooklyn, Richmond (Staten Island), Queens und der Bronx führten gemeinsam mit starken Zuwanderungszahlen aus den USA, Europa und Asien zu einem rasanten Wachstum: Um 1900 zählte die Stadt bereits deutlich mehr als drei Millionen Einwohner - im Jahr 1895 war New York City bereits die zweitgrößte Stadt der Welt.Weitere Informationen zu historischen Themen finden Sie hier.

About this dataset

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.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Middletown town population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Middletown town is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Middletown town 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 Middletown town Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Chenango County by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Chenango County. The dataset can be utilized to understand the population distribution of Chenango County by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Chenango County. 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 Chenango County.

Key observations

Largest age group (population): Male # 55-59 years (1,920) | Female # 60-64 years (2,114). 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

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

• Age Group: This column displays the age group for the Chenango County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Chenango County is shown in the following column.
• Population (Female): The female population in the Chenango County is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Chenango County for each age group.

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 Chenango County Population by Gender. You can refer the same here

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Hector town. The dataset can be utilized to gain insights into gender-based income distribution within the Hector town population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Hector town, among individuals aged 15 years and older with income, there were 1,920 men and 1,833 women in the workforce. Among them, 1,017 men were engaged in full-time, year-round employment, while 931 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 9.05% fell within the income range of under $24,999, while 20.52% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 11.50% of men in full-time roles earned incomes exceeding $100,000, while 5.05% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

https://i.neilsberg.com/ch/hector-ny-income-distribution-by-gender-and-employment-type.jpeg" alt="Hector, New York gender and employment-based income distribution analysis (Ages 15+)">

Content

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

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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 Hector town median household income by gender. You can refer the same here