About this dataset

Context

The dataset tabulates the Franklinton 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 Franklinton. The dataset can be utilized to understand the population distribution of Franklinton by age. For example, using this dataset, we can identify the largest age group in Franklinton.

Key observations

The largest age group in Franklinton, LA was for the group of age 35 to 39 years years with a population of 470 (13%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Franklinton, LA was the 80 to 84 years years with a population of 33 (0.91%). 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 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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Franklinton is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Franklinton total population. 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 Franklinton Population by Age. You can refer the same here

The statistic shows the viewership of ** Reasons Why Season * in the first three days of release in the United States in 2018, by demographic. According to the source, the second season of the hit teen show averaged **** million female viewers in the first three days of release in the United States in May 2018.

The modern history of the United States of America is generally traced back to the founding of Jamestown in the colony of Virginia in 1607. Virginia remained the center of British colonialism in the present-day United States, until the founding of the Plymouth colony in the Northeast in 1620. Virginia remained the largest colony for several decades thereafter, although expansion in the Northeast saw the founding of more individual colonies. The population of the Thirteen colonies first exceeded 100,000 people in the 1660s, and crossed the one million threshold in the 1740s.

About this dataset

Context

The dataset tabulates the Drexel 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 Drexel. The dataset can be utilized to understand the population distribution of Drexel by age. For example, using this dataset, we can identify the largest age group in Drexel.

Key observations

The largest age group in Drexel, NC was for the group of age 60 to 64 years years with a population of 242 (13%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Drexel, NC was the 80 to 84 years years with a population of 32 (1.72%). 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 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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Drexel is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Drexel total population. 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 Drexel Population by Age. You can refer the same here

Analysis unit

Persons Persons not organized into households

UNITS IDENTIFIED: - Dwellings: no - Vacant Units: no - Households: no - Individuals: yes - Group quarters: no

UNIT DESCRIPTIONS: - Dwellings: Separated space with independent access that serves as a human lodging - Households: Individuals living in the same dwelling and sharing at least one meal. If a household is identified within a group quarters unit, it is enumerated separately as a private household - Group quarters: Group of persons who share a common roof and food because of work, health, religion, etc.

Universe

Population census included people in territories, sailors, diplomats and their families. The indigenous population residing in remote areas was not enumerated. People in transit included in microdata sample

Kind of data

Population and Housing Census [hh/popcen]

Sampling procedure

MICRODATA SOURCE: Departmento Administrativo Nacional de Estadística (DANE)

SAMPLE SIZE (person records): 349652.

SAMPLE DESIGN: Systematic sample of every 50th individual after a random start. Drawn by DANE from the original census enumeration forms. People in transit included in microdata sample

Mode of data collection

Face-to-face [f2f]

Research instrument

A single form was used for the entire country. It requested information about buildings, dwellings, households and individuals.

In the past four centuries, the population of the Thirteen Colonies and United States of America has grown from a recorded 350 people around the Jamestown colony in Virginia in 1610, to an estimated 346 million in 2025. While the fertility rate has now dropped well below replacement level, and the population is on track to go into a natural decline in the 2040s, projected high net immigration rates mean the population will continue growing well into the next century, crossing the 400 million mark in the 2070s. Indigenous population Early population figures for the Thirteen Colonies and United States come with certain caveats. Official records excluded the indigenous population, and they generally remained excluded until the late 1800s. In 1500, in the first decade of European colonization of the Americas, the native population living within the modern U.S. borders was believed to be around 1.9 million people. The spread of Old World diseases, such as smallpox, measles, and influenza, to biologically defenseless populations in the New World then wreaked havoc across the continent, often wiping out large portions of the population in areas that had not yet made contact with Europeans. By the time of Jamestown's founding in 1607, it is believed the native population within current U.S. borders had dropped by almost 60 percent. As the U.S. expanded, indigenous populations were largely still excluded from population figures as they were driven westward, however taxpaying Natives were included in the census from 1870 to 1890, before all were included thereafter. It should be noted that estimates for indigenous populations in the Americas vary significantly by source and time period. Migration and expansion fuels population growth The arrival of European settlers and African slaves was the key driver of population growth in North America in the 17th century. Settlers from Britain were the dominant group in the Thirteen Colonies, before settlers from elsewhere in Europe, particularly Germany and Ireland, made a large impact in the mid-19th century. By the end of the 19th century, improvements in transport technology and increasing economic opportunities saw migration to the United States increase further, particularly from southern and Eastern Europe, and in the first decade of the 1900s the number of migrants to the U.S. exceeded one million people in some years. It is also estimated that almost 400,000 African slaves were transported directly across the Atlantic to mainland North America between 1500 and 1866 (although the importation of slaves was abolished in 1808). Blacks made up a much larger share of the population before slavery's abolition. Twentieth and twenty-first century The U.S. population has grown steadily since 1900, reaching one hundred million in the 1910s, two hundred million in the 1960s, and three hundred million in 2007. Since WWII, the U.S. has established itself as the world's foremost superpower, with the world's largest economy, and most powerful military. This growth in prosperity has been accompanied by increases in living standards, particularly through medical advances, infrastructure improvements, clean water accessibility. These have all contributed to higher infant and child survival rates, as well as an increase in life expectancy (doubling from roughly 40 to 80 years in the past 150 years), which have also played a large part in population growth. As fertility rates decline and increases in life expectancy slows, migration remains the largest factor in population growth. Since the 1960s, Latin America has now become the most common origin for migrants in the U.S., while immigration rates from Asia have also increased significantly. It remains to be seen how immigration restrictions of the current administration affect long-term population projections for the United States.

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system. The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

About this dataset

Context

The dataset tabulates the Druid Hills 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 Druid Hills. The dataset can be utilized to understand the population distribution of Druid Hills by age. For example, using this dataset, we can identify the largest age group in Druid Hills.

Key observations

The largest age group in Druid Hills, KY was for the group of age 30 to 34 years years with a population of 39 (13%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Druid Hills, KY was the 20 to 24 years years with a population of 1 (0.33%). 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 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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Druid Hills is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Druid Hills total population. 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 Druid Hills Population by Age. You can refer the same here

Abstract

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

Geographic coverage

National coverage

Analysis unit

Dwelling

UNITS IDENTIFIED: - Dwellings: Not available in microdata sample - Vacant units: Not available in microdata sample - Households: Not available in microdata sample - Individuals: Yes - Group quarters: Microdata sample includes individuals in group quarters, but are not identified - Special populations: People in transit included in microdata sample

UNIT DESCRIPTIONS: - Dwellings: Separated space with independent access that serves as a human lodging - Group quarters: Group of persons who share a common roof and food because of work, health, religion, etc.

Universe

Population census included people in territories, sailors, diplomats and their families. The indigenous population residing in remote areas was not enumerated.

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: Centro Latinoamericano de Demografia (CELADE)

SAMPLE DESIGN: Systematic sample of every 50th individual after a random start. Drawn by DANE from the original census enumeration forms.

SAMPLE UNIT: Individual

SAMPLE FRACTION: 2%

SAMPLE SIZE (person records): 349,652

Mode of data collection

Face-to-face [f2f]

Research instrument

A single form was used for the entire country. It requested information about buildings, dwellings, households and individuals.

Response rate

COVERAGE: 98.2%

About this dataset

Context

The dataset tabulates the Heuvelton 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 Heuvelton. The dataset can be utilized to understand the population distribution of Heuvelton by age. For example, using this dataset, we can identify the largest age group in Heuvelton.

Key observations

The largest age group in Heuvelton, NY was for the group of age 10 to 14 years years with a population of 85 (13%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Heuvelton, NY was the 85 years and over years with a population of 5 (0.76%). 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 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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Heuvelton is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Heuvelton total population. 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 Heuvelton Population by Age. You can refer the same here

The Plymouth Colony was established in present-day Massachussets in 1620. It was the first permanent British colony in New England, and the second in the Americas after Jamestown, Virginia. However, the neighboring Massachussets Bay Colony quickly became the most populous of the Thirteen Colonies, and Massachussets maintained this position until the end of the century. In terms of ethnicity, Rhode Island had the highest relative share of Black people in its population, the majority of whom lived in slavery until the 1780s when it was abolished in each of the New England states.

About this dataset

Context

The dataset tabulates the Pinedale 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 Pinedale. The dataset can be utilized to understand the population distribution of Pinedale by age. For example, using this dataset, we can identify the largest age group in Pinedale.

Key observations

The largest age group in Pinedale, WY was for the group of age 35 to 39 years years with a population of 253 (13%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Pinedale, WY was the 80 to 84 years years with a population of 7 (0.36%). 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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Pinedale is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Pinedale total population. 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 Pinedale Population by Age. You can refer the same here

New York was the most populous of the Thirteen Colonies' middle colonies in the 17th century, before it was overtaken by Pennsylvania in the early 18th century. New York also had the largest Black population in the middle colonies throughout the colonial era - the majority of these people lived in slavery, however, at just 14 percent of the total population, Blacks made up a much smaller share of the total population in New England and the middle colonies than they did in the southern colonies.

This statistic depicts the age distribution in the United States from 2014 to 2024. In 2024, about 17.32 percent of the U.S. population fell into the 0-14 year category, 64.75 percent into the 15-64 age group and 17.93 percent of the population were over 65 years of age. The increasing population of the United States The United States of America is one of the most populated countries in the world, trailing just behind China and India. A total population count of around 320 million inhabitants and a more-or-less steady population growth over the past decade indicate that the country has steadily improved its living conditions and standards for the population. Leading healthier lifestyles and improved living conditions have resulted in a steady increase of the life expectancy at birth in the United States. Life expectancies of men and women at birth in the United States were at a record high in 2012. Furthermore, a constant fertility rate in recent years and a decrease in the death rate and infant mortality, all due to the improved standard of living and health care conditions, have helped not only the American population to increase but as a result, the share of the population younger than 15 and older than 65 years has also increased in recent years, as can be seen above.

In 2024, the population of the Los Angeles-Long Beach-Anaheim metropolitan area in the United States was about 12.93 million people. This is a slight increase from the 12.88 million people who lived there the previous year.

The Colony of Virginia, the location of the Jamestown Settlement (the first permanent English settlement in the Americas), was the most populous southern colony or state in the region until it was partitioned into Virginia and West Virginia during the American Civil War. Virginia was also the most populous of the Thirteen Colonies throughout most of the Colonial Era. In terms of ethnicity, the southern colonies had the largest relative Black populations, with South Carolina even becoming majority-Black in the 1710s.

There were 13 600 Linkedin users in Micronesia in June 2025, which accounted for 13% of its entire population. People aged 25 to 34 were the largest user group (6 700).

Tuberculosis (TB) incidence has been in steady decline in China over the last few decades. However, ongoing demographic transition, fueled by aging, and massive internal migration could have important implications for TB control in the future. We collated data on TB notification, demography, and drug resistance between 2004 and 2017 across seven cities in Shandong, the second most populous province in China. Using these data, and age-period-cohort models, we (i) quantified heterogeneities in TB incidence across cities, by age, sex, resident status, and occupation and (ii) projected future trends in TB incidence, including drug-resistant TB (DR-TB). Between 2006 and 2017, we observed (i) substantial variability in the rates of annual change in TB incidence across cities, from -4.84 to 1.52%; (ii) heterogeneities in the increments in the proportion of patients over 60 among reported TB cases differs from 2 to 13%, and from 0 to 17% for women; (iii) huge differences across cities in the annual growths in TB notification rates among migrant population between 2007 and 2017, from 2.81 cases per 100K migrants per year in Jinan to 22.11 cases per 100K migrants per year in Liaocheng, with drastically increasing burden of TB cases from farmers; and (iv) moderate and stable increase in the notification rates of DR-TB in the province. All of these trends were projected to continue over the next decade, increasing heterogeneities in TB incidence across cities and between populations. To sustain declines in TB incidence and to prevent an increase in Multiple DR-TB (MDR-TB) in the future in China, future TB control strategies may (i) need to be tailored to local demography, (ii) prioritize key populations, such as elderly and internal migrants, and (iii) enhance DR-TB surveillance.

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system. The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

About this dataset

Context

The dataset tabulates the Indian Lake 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 Indian Lake. The dataset can be utilized to understand the population distribution of Indian Lake by age. For example, using this dataset, we can identify the largest age group in Indian Lake.

Key observations

The largest age group in Indian Lake, TX was for the group of age Under 5 years years with a population of 160 (13%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Indian Lake, TX was the 75 to 79 years years with a population of 9 (0.73%). 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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Indian Lake is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Indian Lake total population. 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 Indian Lake Population by Age. You can refer the same here