In 1870, the GDP of the U.S., Canada, Australia, and New Zealand was eight times larger than in 1820, and by 1913 it was almost 42 times larger. Although Europe had the largest share of global GDP in 1913, it had only grown by 5.4 times since 1820. GDP in the Asia-Pacific region did not double over this period, as it was not until the latter half of the twentieth century when industrialization began on a large scale.

The Gross Domestic Product (GDP) in Venezuela was worth 111.81 billion US dollars in 2021, according to official data from the World Bank. The GDP value of Venezuela represents 0.11 percent of the world economy. This dataset provides - Venezuela GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Unemployment Rate in the United States increased to 4.40 percent in September from 4.30 percent in August of 2025. This dataset provides the latest reported value for - United States Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

About this dataset

Context

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

Key observations

The largest age group in Economy, PA was for the group of age 60-64 years with a population of 883 (9.75%), according to the 2021 American Community Survey. At the same time, the smallest age group in Economy, PA was the 80-84 years with a population of 232 (2.56%). 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

Variables / Data Columns

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

United States US: Age Dependency Ratio: % of Working-Age Population: Young data was reported at 28.799 % in 2017. This records a decrease from the previous number of 28.857 % for 2016. United States US: Age Dependency Ratio: % of Working-Age Population: Young data is updated yearly, averaging 33.422 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 51.329 % in 1961 and a record low of 28.799 % in 2017. United States US: Age Dependency Ratio: % of Working-Age Population: Young data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Population and Urbanization Statistics. Age dependency ratio, young, is the ratio of younger dependents--people younger than 15--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.; ; World Bank staff estimates based on age distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average;

This scatter chart displays GDP (current US$) against median age (year) in Mauritius. The data is about countries per year.

About this dataset

Context

The dataset tabulates the data for the Economy, PA population pyramid, which represents the Economy population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey 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 Economy, PA, is 22.5.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Economy, PA, is 42.7.
• Total dependency ratio for Economy, PA is 65.2.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Economy, PA is 2.3.

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

Variables / Data Columns

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

This scatter chart displays median age (year) against GDP (current US$) in Uruguay. The data is filtered where the date is 2023. The data is about countries per year.

United States US: Probability of Dying at Age 5-9 Years: per 1000 data was reported at 0.600 Ratio in 2019. This stayed constant from the previous number of 0.600 Ratio for 2018. United States US: Probability of Dying at Age 5-9 Years: per 1000 data is updated yearly, averaging 0.700 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 1.100 Ratio in 1992 and a record low of 0.600 Ratio in 2019. United States US: Probability of Dying at Age 5-9 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Health Statistics. Probability of dying between age 5-9 years of age expressed per 1,000 children aged 5, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.

This scatter chart displays median age (year) against GDP (current US$) in Micronesia. The data is filtered where the date is 2021. The data is about countries per year.

This scatter chart displays median age (year) against GDP (current US$) in the United Kingdom. The data is filtered where the date is 2021. The data is about countries per year.

United States US: Age Dependency Ratio: % of Working-Age Population: Old data was reported at 23.470 % in 2017. This records an increase from the previous number of 22.796 % for 2016. United States US: Age Dependency Ratio: % of Working-Age Population: Old data is updated yearly, averaging 18.473 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 23.470 % in 2017 and a record low of 15.162 % in 1960. United States US: Age Dependency Ratio: % of Working-Age Population: Old data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Population and Urbanization Statistics. Age dependency ratio, old, is the ratio of older dependents--people older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.; ; World Bank staff estimates based on age distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average;

This scatter chart displays median age (year) against GDP (current US$) in Algeria. The data is about countries per year.

In 2024, the gross domestic product (GDP) per capita at current prices in Vietnam amounted to around 4,536 U.S. dollars. GDP is the total value of all goods and services produced in a country in a year. It is considered to be a very important indicator of the economic strength of a country and a positive change is an indicator of economic growth. Vietnam’s economy In the last decade, the Vietnamese economy has experienced consistent economic growth with a six to seven percent increase in GDP from year to year. The country’s economy is fueled by its exports of natural resources and agricultural products, though since 2008 its information technology hardware exports have risen substantially. Vietnam’s agriculture and service sectors generate over 56 percent of Vietnam’s gross domestic product. Vietnam’s population The majority of Vietnam’s population works in the agriculture or service industries, and the country has one of the world’s lowest unemployment rates at just 1.8 percent in 2018. The population is relatively young, with the median age expected to reach 32.5 years by 2020. The median age has increased significantly from its low point of 18.2 years in 1970, around the time Vietnam was being devastated by war. Since then, the country’s population has increased as well, reaching over 94 million people in 2018.

United States US: Adjusted Net Enrollment Rate: Primary: Male: % of Primary School Age Children data was reported at 93.137 % in 2015. This records an increase from the previous number of 92.551 % for 2014. United States US: Adjusted Net Enrollment Rate: Primary: Male: % of Primary School Age Children data is updated yearly, averaging 94.128 % from Dec 1986 (Median) to 2015, with 25 observations. The data reached an all-time high of 98.628 % in 1991 and a record low of 91.823 % in 2004. United States US: Adjusted Net Enrollment Rate: Primary: Male: % of Primary School Age Children data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Education Statistics. Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

About this dataset

Context

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

Key observations

Largest age group (population): Male # 65-69 years (412) | Female # 60-64 years (490). 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 Economy population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Economy is shown in the following column.
• Population (Female): The female population in the Economy 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 Economy 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 Economy Population by Gender. You can refer the same here

Selection of time series of different scientific publications and of publication of the official statistics:

EUROSTAT, European Statistical Office OECD: Organisation for Economic Cooperation and Development; ONS: Office for National Statistics, England; SCB: Statistiska Centralbyran, Sweden; Federal Statistical Office, Wiesbaden. Deutschland; WHO: World Health Organization.

United States US: Gross Intake Ratio in First Grade of Primary Education: % of Relevant Age Group data was reported at 101.010 % in 2015. This records a decrease from the previous number of 101.377 % for 2014. United States US: Gross Intake Ratio in First Grade of Primary Education: % of Relevant Age Group data is updated yearly, averaging 101.661 % from Dec 1998 (Median) to 2015, with 18 observations. The data reached an all-time high of 109.738 % in 2008 and a record low of 99.413 % in 2002. United States US: Gross Intake Ratio in First Grade of Primary Education: % of Relevant Age Group data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Education Statistics. Gross intake ratio in first grade of primary education is the number of new entrants in the first grade of primary education regardless of age, expressed as a percentage of the population of the official primary entrance age.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Graph and download economic data for Consumer Unit Characteristics: Age of Reference Person by Age: from Age 25 to 34 (CXU980020LB0403M) from 1984 to 2023 about consumer unit, age, 25 years +, personal, and USA.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Toccoa: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 184(5.01%) households where the householder is under 25 years old, 912(24.82%) households with a householder aged between 25 and 44 years, 1,433(38.99%) households with a householder aged between 45 and 64 years, and 1,146(31.18%) households where the householder is over 65 years old.
• In Toccoa, the age group of 45 to 64 years stands out with both the highest median income and the maximum share of households. This alignment suggests a financially stable demographic, indicating an established community with stable careers and higher incomes.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 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 $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 Toccoa median household income by age. You can refer the same here