Unadjusted decennial census data from 1950-2000 and projected figures from 2010-2040: summary table of New York City population numbers and percentage share by Borough, including school-age (5 to 17), 65 and Over, and total population.

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

Chart and table of population level and growth rate for the Syracuse metro area from 1950 to 2025.

Unadjusted decennial census data from 1950-2000 and projected figures from 2010-2040: summary table of New York City population numbers and percentage share by Borough, including school-age (5 to 17), 65 and Over, and total population.

Chart and table of population level and growth rate for the Los Angeles metro area from 1950 to 2025.

Unadjusted decennial census data from 1950-2000 and projected figures from 2010-2040: summary table of New York City population numbers and percentage share by Borough, including school-age (5 to 17), 65 and Over, and total population.

Unadjusted decennial census data from 1950-2000 and projected figures from 2010-2040: summary table of New York City population numbers and percentage share by Borough, including school-age (5 to 17), 65 and Over, and total population.

Chart and table of population level and growth rate for the Poughkeepsie-Newburgh metro area from 1950 to 2025.

About this dataset

Context

The dataset tabulates the Wayland 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 Wayland 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 1,950 (52.56% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 Wayland town population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Wayland town is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Wayland 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 Wayland town Population by Age. You can refer the same here

Median Age of the population of New York City in total and by Borough: unadjusted decennial census data from 1950-2000 and projected figures from 2010-2030.

In 2020, about 82.66 percent of the total population in the United States lived in cities and urban areas. As the United States was one of the earliest nations to industrialize, it has had a comparatively high rate of urbanization over the past two centuries. The urban population became larger than the rural population during the 1910s, and by the middle of the century it is expected that almost 90 percent of the population will live in an urban setting. Regional development of urbanization in the U.S. The United States began to urbanize on a larger scale in the 1830s, as technological advancements reduced the labor demand in agriculture, and as European migration began to rise. One major difference between early urbanization in the U.S. and other industrializing economies, such as the UK or Germany, was population distribution. Throughout the 1800s, the Northeastern U.S. became the most industrious and urban region of the country, as this was the main point of arrival for migrants. Disparities in industrialization and urbanization was a key contributor to the Union's victory in the Civil War, not only due to population sizes, but also through production capabilities and transport infrastructure. The Northeast's population reached an urban majority in the 1870s, whereas this did not occur in the South until the 1950s. As more people moved westward in the late 1800s, not only did their population growth increase, but the share of the urban population also rose, with an urban majority established in both the West and Midwest regions in the 1910s. The West would eventually become the most urbanized region in the 1960s, and over 90 percent of the West's population is urbanized today. Urbanization today New York City is the most populous city in the United States, with a population of 8.3 million, while California has the largest urban population of any state. California also has the highest urbanization rate, although the District of Columbia is considered 100 percent urban. Only four U.S. states still have a rural majority, these are Maine, Mississippi, Montana, and West Virginia.

About this dataset

Context

The dataset tabulates the Mamaroneck 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 Mamaroneck 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 2022, the population of Mamaroneck town was 30,943, a 1.28% decrease year-by-year from 2021. Previously, in 2021, Mamaroneck town population was 31,343, a decline of 0.79% compared to a population of 31,594 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Mamaroneck town increased by 1,950. In this period, the peak population was 31,594 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).

Content

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

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Mamaroneck town is shown in this column.
• Year on Year Change: This column displays the change in Mamaroneck 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 Mamaroneck town Population by Year. You can refer the same here

This is a hybrid gridded dataset of demographic data for the world, given as 5-year population bands at a 0.5 degree grid resolution. This dataset combines the NASA SEDAC Gridded Population of the World version 4 (GPWv4) with the ISIMIP Histsoc gridded population data and the United Nations World Population Program (WPP) demographic modelling data. Demographic fractions are given for the time period covered by the UN WPP model (1950-2050) while demographic totals are given for the time period covered by the combination of GPWv4 and Histsoc (1950-2020) Method - demographic fractions Demographic breakdown of country population by grid cell is calculated by combining the GPWv4 demographic data given for 2010 with the yearly country breakdowns from the UN WPP. This combines the spatial distribution of demographics from GPWv4 with the temporal trends from the UN WPP. This makes it possible to calculate exposure trends from 1980 to the present day. To combine the UN WPP demographics with the GPWv4 demographics, we calculate for each country the proportional change in fraction of demographic in each age band relative to 2010 as: (\delta_{year,\ country,age}^{\text{wpp}} = f_{year,\ country,age}^{\text{wpp}}/f_{2010,country,age}^{\text{wpp}}) Where: - (\delta_{year,\ country,age}^{\text{wpp}}) is the ratio of change in demographic for a given age and and country from the UN WPP dataset. - (f_{year,\ country,age}^{\text{wpp}}) is the fraction of population in the UN WPP dataset for a given age band, country, and year. - (f_{2010,country,age}^{\text{wpp}}) is the fraction of population in the UN WPP dataset for a given age band, country for the year 2020. The gridded demographic fraction is then calculated relative to the 2010 demographic data given by GPWv4. For each subset of cells corresponding to a given country c, the fraction of population in a given age band is calculated as: (f_{year,c,age}^{\text{gpw}} = \delta_{year,\ country,age}^{\text{wpp}}*f_{2010,c,\text{age}}^{\text{gpw}}) Where: - (f_{year,c,age}^{\text{gpw}}) is the fraction of the population in a given age band for given year, for the grid cell c. - (f_{2010,c,age}^{\text{gpw}}) is the fraction of the population in a given age band for 2010, for the grid cell c. The matching between grid cells and country codes is performed using the GPWv4 gridded country code lookup data and country name lookup table. The final dataset is assembled by combining the cells from all countries into a single gridded time series. This time series covers the whole period from 1950-2050, corresponding to the data available in the UN WPP model. Method - demographic totals Total population data from 1950 to 1999 is drawn from ISIMIP Histsoc, while data from 2000-2020 is drawn from GPWv4. These two gridded time series are simply joined at the cut-over date to give a single dataset covering 1950-2020. The total population per age band per cell is calculated by multiplying the population fractions by the population totals per grid cell. Note that as the total population data only covers until 2020, the time span covered by the demographic population totals data is 1950-2020 (not 1950-2050). Disclaimer This dataset is a hybrid of different datasets with independent methodologies. No guarantees are made about the spatial or temporal consistency across dataset boundaries. The dataset may contain outlier points (e.g single cells with demographic fractions >1). This dataset is produced on a 'best effort' basis and has been found to be broadly consistent with other approaches, but may contain inconsistencies which not been identified. {"references": ["UN. (2019). World Population Prospects 2019: Data Booklet. Retrieved from https://population.un.org/wpp/Publications/Files/WPP2019_DataBooklet.pdf", "NASA SEDAC, & CIESIN. (2016). Gridded Population of the World, Version 4 (GPWv4): Population Count. New York, New York, USA: Columbia University. Retrieved from http://dx.doi.org/10.7927/H4X63JVC", "ISIMIP. (2018). ISIMIP Project Design and Simulation Protocol. Retrieved from https://www.isimip.org/gettingstarted/input-data-bias-correction/details/31/"]}

About this dataset

Context

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

Key observations

Largest age group (population): Male # 15-19 years (1,950) | Female # 15-19 years (1,957). 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 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 Ithaca town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Ithaca town is shown in the following column.
• Population (Female): The female population in the Ithaca town 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 Ithaca town 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 Ithaca town Population by Gender. You can refer the same here

New York has taken part in all U.S. presidential elections since 1792, and has cast the majority of its electoral votes for the nationwide winner in 47 elections, giving a success rate of 81 percent. New York has generally voted for the more liberal candidate in U.S. elections, and has been a safe Democratic state since the 1988 election. In the 2020 election, New York was a comfortable win for Democratic nominee Joe Biden, who carried the state by a 23 percent margin; however, the native New Yorker, Donald Trump, won in several of New York's more rural districts with around seventy percent of their popular vote, showing a stark contrast between urban and rural districts. Presidents from the Empire State A total of five U.S. presidents were born in New York; these were Martin Van Buren, Millard Fillmore, Theodore Roosevelt, Franklin D. Roosevelt and Donald Trump. These five men ran for president in eleven different elections, and carried their home state in six elections; Donald Trump is the only New Yorker to have won the election without carrying his home state. Several other losing candidates have carried their home state, with the most recent being Hillary Clinton in the 2016 election, and Thomas E. Dewey in 1948 (both held public office in New York, but were born elsewhere).

Declining significance Throughout most of U.S. history, New York was the most populous state, and therefore had the largest share of electoral votes. This began in the 1812 election, where New York had 29 electoral votes; the allocation then fluctuated throughout the rest of the 1800s and early 1900s, peaking at 47 votes in the 1930s and 1940s. Since the 1950s, however, New York's allocation of electoral votes has gradually declined, and it was overtaken by California in the 1972 election, and then Texas in 2004. This is due to differing population growth rates across various regions of the U.S., as growth rates along the southern border tend to be much higher than in states along the east coast. In the 2020 election, New York's allocation of electoral votes is 29; this is expected to fall again to 28 votes in the 2024 election, where it will likely be overtaken by Florida as the third-most populous state.

New York City besaß Schätzungen zufolge im Jahr 2022 rund 8,3 Millionen Einwohner. Damit ist der "Big Apple" gegenüber 2020 etwas geschrumpft. Die Einwohnerzahl ist jedoch seit 1750 nahezu kontinuierlich gestiegen - mit Ausnahme der 1960er- und 1980er- Jahre, als die Bevölkerungszahl vorübergehend sogar deutlich sank. Grund dafür war insbesondere eine starke Steigerung der Kriminalität, die erst durch politische und polizeiliche Maßnahmen ab Anfang der 90er- Jahre wieder gesenkt werden konnte. Dies führte - gemeinsam mit der Ansiedlung neuer Unternehmen - zu einem Zuzug weiterer Bürger, die zum Wachstum der Stadt beitrugen. 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.