The estimated population of the U.S. was approximately 334.9 million in 2023, and the largest age group was adults aged 30 to 34. There were 11.88 million males in this age category and around 11.64 million females. Which U.S. state has the largest population? The population of the United States continues to increase, and the country is the third most populous in the world behind China and India. The gender distribution has remained consistent for many years, with the number of females narrowly outnumbering males. In terms of where the residents are located, California was the state with the highest population in 2023. The U.S. population by race and ethnicity The United States is well known the world over for having a diverse population. In 2023, the number of Black or African American individuals was estimated to be 45.76 million, which represented an increase of over four million since the 2010 census. The number of Asian residents has increased at a similar rate during the same time period and the Hispanic population in the U.S. has also continued to grow.

About this dataset

Context

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

Key observations

The largest age group in Ohio was for the group of age 60 to 64 years years with a population of 801,454 (6.80%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Ohio was the 80 to 84 years years with a population of 237,360 (2.01%). 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 Ohio is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Ohio 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 Ohio Population by Age. You can refer the same here

Globally, about 25 percent of the population is under 15 years of age and 10 percent is over 65 years of age. Africa has the youngest population worldwide. In Sub-Saharan Africa, more than 40 percent of the population is below 15 years, and only three percent are above 65, indicating the low life expectancy in several of the countries. In Europe, on the other hand, a higher share of the population is above 65 years than the population under 15 years. Fertility rates The high share of children and youth in Africa is connected to the high fertility rates on the continent. For instance, South Sudan and Niger have the highest population growth rates globally. However, about 50 percent of the world’s population live in countries with low fertility, where women have less than 2.1 children. Some countries in Europe, like Latvia and Lithuania, have experienced a population decline of one percent, and in the Cook Islands, it is even above two percent. In Europe, the majority of the population was previously working-aged adults with few dependents, but this trend is expected to reverse soon, and it is predicted that by 2050, the older population will outnumber the young in many developed countries. Growing global population As of 2025, there are 8.1 billion people living on the planet, and this is expected to reach more than nine billion before 2040. Moreover, the global population is expected to reach 10 billions around 2060, before slowing and then even falling slightly by 2100. As the population growth rates indicate, a significant share of the population increase will happen in Africa.

About this dataset

Context

The dataset tabulates the data for the Portland, OR population pyramid, which represents the Portland population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Portland, OR, is 19.1.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Portland, OR, is 19.7.
• Total dependency ratio for Portland, OR is 38.8.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Portland, OR is 5.1.

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 for the Portland population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Portland for the selected age group is shown in the following column.
• Population (Female): The female population in the Portland for the selected age group is shown in the following column.
• Total Population: The total population of the Portland for the selected age group 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 Portland Population by Age. You can refer the same here

Until 2100, the world's population is expected to be ageing. Whereas people over 60 years made up less than 13 percent of the world's population in 2024, this share is estimated to reach 28.8 percent in 2100. On the other hand, the share of people between zero and 14 years was expected to decrease by almost ten percentage points over the same period.

Estimated number of persons on July 1, by 5-year age groups and gender, and median age, for Canada, provinces and territories.

About this dataset

Context

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

Key observations

The largest age group in Knoxville, TN was for the group of age 20 to 24 years years with a population of 25,655 (13.24%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Knoxville, TN was the 80 to 84 years years with a population of 3,012 (1.55%). 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 Knoxville is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Knoxville 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 Knoxville Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Paris, ID population pyramid, which represents the Paris population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Paris, ID, is 69.9.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Paris, ID, is 42.1.
• Total dependency ratio for Paris, ID is 112.0.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Paris, ID is 2.4.

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 for the Paris population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Paris for the selected age group is shown in the following column.
• Population (Female): The female population in the Paris for the selected age group is shown in the following column.
• Total Population: The total population of the Paris for the selected age group 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 Paris Population by Age. You can refer the same here

This table contains 4095 series, with data for years 1921 - 1971 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia ...) Sex (3 items: Both sexes; Females; Males ...) Age group (105 items: All ages; 1 year; 2 years; 0 years ...).

In 2023, about **** percent of the population in Florida was between 25 and 34 years old. In that same year, a further **** percent of Floridians were between the ages of 65 and 74 years old.

The American Community Survey (ACS) is designed to estimate the characteristic distribution of populations and estimated counts should only be used to calculate percentages. They do not represent the actual population counts or totals. Beginning in 2019, the Washington Student Achievement Council (WSAC) has measured educational attainment for the Roadmap Progress Report using one-year American Community Survey (ACS) data from the United States Census Bureau. These public microdata represents the most current data, but it is limited to areas with larger populations leading to some multi-county regions*. *The American Community Survey is not the official source of population counts. It is designed to show the characteristics of the nation's population and should not be used as actual population counts or housing totals for the nation, states or counties. The official population count — including population by age, sex, race and Hispanic origin — comes from the once-a-decade census, supplemented by annual population estimates (which do not typically contain educational attainment variables) from the following groups and surveys: -- Washington State Office of Financial Management (OFM): https://www.ofm.wa.gov/washington-data-research/population-demographics -- US Census Decennial Census: https://www.census.gov/programs-surveys/decennial-census.html and Population Estimates Program: https://www.census.gov/programs-surveys/popest.html **In prior years, WSAC used both the five-year and three-year (now discontinued) data. While the 5-year estimates provide a larger sample, they are not recommended for year to year trends and also are released later than the one-year files. Detailed information about the ACS at https://www.census.gov/programs-surveys/acs/guidance.html

About this dataset

Context

The dataset tabulates the data for the Dayton, OR population pyramid, which represents the Dayton population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Dayton, OR, is 34.1.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Dayton, OR, is 24.6.
• Total dependency ratio for Dayton, OR is 58.7.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Dayton, OR is 4.1.

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 for the Dayton population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Dayton for the selected age group is shown in the following column.
• Population (Female): The female population in the Dayton for the selected age group is shown in the following column.
• Total Population: The total population of the Dayton for the selected age group 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 Dayton Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Mission Viejo, CA population pyramid, which represents the Mission Viejo population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Mission Viejo, CA, is 27.3.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Mission Viejo, CA, is 36.7.
• Total dependency ratio for Mission Viejo, CA is 64.0.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Mission Viejo, CA is 2.7.

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 for the Mission Viejo population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Mission Viejo for the selected age group is shown in the following column.
• Population (Female): The female population in the Mission Viejo for the selected age group is shown in the following column.
• Total Population: The total population of the Mission Viejo for the selected age group 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 Mission Viejo Population by Age. You can refer the same here

Population: Age: 65 Years and Above data was reported at 1,279.870 Person th in 2016. This records an increase from the previous number of 1,236.468 Person th for 2015. Population: Age: 65 Years and Above data is updated yearly, averaging 1,114.353 Person th from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 1,279.870 Person th in 2016 and a record low of 998.000 Person th in 1999. Population: Age: 65 Years and Above data remains active status in CEIC and is reported by The Agency of Statistics of the Republic of Kazakhstan. The data is categorized under Global Database’s Kazakhstan – Table KZ.G002: Population: by Age.

In 2023, about 13.2 percent of the population of Ohio was between the ages of 25 and 34 years old. A further 12.6 percent of the population of Ohio was between the ages of 35 and 44 years old in that year.

Population: Female: TNHR: by Age: 13 Year data was reported at 394,944.000 Person in 2017. This records an increase from the previous number of 383,085.000 Person for 2016. Population: Female: TNHR: by Age: 13 Year data is updated yearly, averaging 463,764.500 Person from Dec 1994 (Median) to 2017, with 24 observations. The data reached an all-time high of 509,222.000 Person in 1994 and a record low of 383,085.000 Person in 2016. Population: Female: TNHR: by Age: 13 Year data remains active status in CEIC and is reported by Department of Provincial Administration. The data is categorized under Global Database’s Thailand – Table TH.G002: Population: By Age.

Population: Age 15 to 64: Shanghai data was reported at 18.555 Person th in 2023. This records an increase from the previous number of 18.138 Person th for 2022. Population: Age 15 to 64: Shanghai data is updated yearly, averaging 15.618 Person th from Dec 1982 (Median) to 2023, with 29 observations. The data reached an all-time high of 18,705.024 Person th in 2010 and a record low of 10.477 Person th in 1999. Population: Age 15 to 64: Shanghai data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population: Sample Survey: By Age and Region.

In 2023, about 13.1 percent of the population in Michigan was between the ages of 25 and 34 years old. A further 11.9 percent of the population was between the ages of 45 and 54 years old in that same year.

Population: Bangkok: TNHR: Female: by Age: 58 data was reported at 45,009.000 Person in 2023. This records a decrease from the previous number of 45,788.000 Person for 2022. Population: Bangkok: TNHR: Female: by Age: 58 data is updated yearly, averaging 32,785.000 Person from Dec 1993 (Median) to 2023, with 31 observations. The data reached an all-time high of 45,788.000 Person in 2022 and a record low of 18,422.000 Person in 1998. Population: Bangkok: TNHR: Female: by Age: 58 data remains active status in CEIC and is reported by Department of Provincial Administration. The data is categorized under Global Database’s Thailand – Table TH.G003: Population: By Age: Bangkok.

About this dataset

Context

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

Key observations

The largest age group in Oxford, IN was for the group of age Under 5 years years with a population of 145 (10.88%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Oxford, IN was the 85 years and over years with a population of 9 (0.68%). 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 Oxford is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Oxford 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 Oxford Population by Age. You can refer the same here