This statistic shows the median age of the world population from 1950 to 2100. By 2100, the global median age is projected to be 41.9 years of age.

According to 2023 estimations, Monaco's population had the highest median age of **** years worldwide. Furthermore, the lowest listed countries are all from the African continent, with Niger recording a median age of nearly 15 years old.

This statistic presents the median age of the world population from 1990 to 2015 and a forecast until 2100, by fertility variant. In 2100, the median age of the world population is predicted to be 26 years old at a constant fertility variant.

Monaco is the country with the highest median age in the world. The population has a median age of around 57 years, which is around six years more than in Japan and Saint Pierre and Miquelon – the other countries that make up the top three. Southern European countries make up a large part of the top 20, with Italy, Slovenia, Greece, San Marino, Andorra, and Croatia all making the list. Low infant mortality means higher life expectancy Monaco and Japan also have the lowest infant mortality rates in the world, which contributes to the calculation of a higher life expectancy because fewer people are dying in the first years of life. Indeed, many of the nations with a high median age also feature on the list of countries with the highest average life expectancy, such as San Marino, Japan, Italy, and Lichtenstein. Demographics of islands and small countries Many smaller countries and island nations have populations with a high median age, such as Guernsey and the Isle of Man, which are both island territories within the British Isles. An explanation for this could be that younger people leave to seek work or education opportunities, while others choose to relocate there for retirement.

Context

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Content

What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

Acknowledgements

Citation: United Nations, Department of Economic and Social Affairs, Population Division (2017). World Population Prospects: The 2017 Revision, DVD Edition.

Inspiration

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This dataset contains the median age of a country starting from 1950 to 2050 every 5 years. The values for the years before the current time i.e. 2020 are calculated from the data provided by these countries, the rest of the values starting from 2025 are just a prediction keeping in mind the current trend.

This data could well be used with the COVID-19 open dataset on Kaggle provided by @imdevskp which could be found here: https://www.kaggle.com/imdevskp/corona-virus-report.

Both these data combined can result in effective research on the dependence of COVID-19 virus with age and predicting future median age of the countries seeing the current trend set up by the virus as the death count will hugely impact a country's average population age.

Apart from that, this dataset could also be used independently to predict the median ages in the future and further analysis could lead to which country could be more prone to viruses like these in the future.

The median age of a population is a key demographic indicator, reflecting the age distribution within a country. Understanding median age helps assess economic development, healthcare needs, and social dynamics. Countries with a higher median age may face challenges related to aging populations, while younger populations often indicate growth potential.

The median age of a population is a key demographic indicator, reflecting the age distribution within a country. Understanding median age helps assess economic development, healthcare needs, and social dynamics. Countries with a higher median age may face challenges related to aging populations, while younger populations often indicate growth potential.

The median age of a population is a key demographic indicator, reflecting the age distribution within a country. Understanding median age helps assess economic development, healthcare needs, and social dynamics. Countries with a higher median age may face challenges related to aging populations, while younger populations often indicate growth potential.

Graph and download economic data for Estimate, Median Age by Sex, Total Population (5-year estimate) in Blue Earth County, MN (B01002001E027013) from 2009 to 2023 about Blue Earth County, MN; Mankato; age; MN; 5-year; median; and USA.

This dataset was obtained through web scraping from Worldometer, a website that provides real-time global statistics. The data was collected in September 2025.

Column Description

• Population: The total number of inhabitants of a country in a given year.
• Yearly Change (%): The percentage growth in population per year compared to the previous year.
• Net Change: The difference in the number of inhabitants added each year (in numbers, not percentages).
• Density (P/Km²): Population density, calculated as the number of people per square kilometer (people per km²).
• Land Area (Km²): The land area of a country in square kilometers (excluding water areas).
• Migrants (net): Net migration figures (immigrants minus emigrants). Positive → more people entering, Negative → more people leaving.
• Fertility Rate: The average number of children born to a woman throughout her lifetime.
• Median Age: The middle age of the population (half are younger than this number, half are older).
• Urban Population (%): The percentage of the population living in urban areas.
• World Share (%): The percentage of a country's population compared to the total world population.

Estimate, Median Age by Sex, Total Population (5-year estimate) in Blue Earth County, MN was 31.50000 Years of Age in January of 2023, according to the United States Federal Reserve. Historically, Estimate, Median Age by Sex, Total Population (5-year estimate) in Blue Earth County, MN reached a record high of 31.50000 in January of 2023 and a record low of 29.50000 in January of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for Estimate, Median Age by Sex, Total Population (5-year estimate) in Blue Earth County, MN - last updated from the United States Federal Reserve on November of 2025.

About this Dataset Context This is the UN populations dataset

Content Data by country, world and year

Acknowledgements From https://esa.un.org/unpd/wpp/Download/Standard/Population/

United States US: Population: Male: Ages 60-64: % of Male Population data was reported at 5.956 % in 2017. This records an increase from the previous number of 5.864 % for 2016. United States US: Population: Male: Ages 60-64: % of Male Population data is updated yearly, averaging 4.108 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 5.956 % in 2017 and a record low of 3.594 % in 1996. United States US: Population: Male: Ages 60-64: % of Male Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Population and Urbanization Statistics. Male population between the ages 60 to 64 as a percentage of the total male population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;

Taiwan Population: Average Age data was reported at 41.436 Year Old in Nov 2018. This records an increase from the previous number of 41.394 Year Old for Oct 2018. Taiwan Population: Average Age data is updated monthly, averaging 37.546 Year Old from Sep 2000 (Median) to Nov 2018, with 219 observations. The data reached an all-time high of 41.436 Year Old in Nov 2018 and a record low of 33.454 Year Old in Sep 2000. Taiwan Population: Average Age data remains active status in CEIC and is reported by Ministry of the Interior. The data is categorized under Global Database’s Taiwan – Table TW.G001: Population.

Costa Rica CR: Age Dependency Ratio: % of Working-Age Population: Young data was reported at 28.671 % in 2023. This records a decrease from the previous number of 29.267 % for 2022. Costa Rica CR: Age Dependency Ratio: % of Working-Age Population: Young data is updated yearly, averaging 59.075 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 90.563 % in 1963 and a record low of 28.671 % in 2023. Costa Rica CR: 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 Costa Rica – Table CR.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: 2022 Revision.;Weighted average;

This statistic shows the leading countries with the highest projected median age in 2050. By 2050, the Republic of Korea is projected to have the population with the highest median age, at 56.5 years.

This statistic depicts the median age of the global labor force from 1990 to 2025. In 2019, the median age of the global workforce was **** years. In 2025, this figure is expected to increase to **** years.

There are 5 datasets:

1. World_population(1955-2023).csv
2. World_population(1951-2020).csv
3. World Population Projections(2020 -2100).csv
4. World Population by Region(2020).csv
5. World Population Forecast (2020-2050).csv

1. World_population(1955-2023).csv:

This dataset consists of World Population from 1955 to 2023

Year: Year is from 1955 to 2023 Population: Count of the world's population Yearly % Change: Percentage of yearly change in population Yearly Change: Increase in Yearly Change in Population Median Age: Median Age of Population Fertility Rate: Fertility Rate from 1955 to 2015 with an interval of 5 years and from 2015 to 2020 yearly. Density: Population Density is in (P/Km²)

2. World_population(1951-2020).csv:

This dataset consists of World Population from 1951 to 2020

Year: Year is from 1951 to 2020 World Population: Count of the world population Yearly Change: Percentage of yearly change in population Net Change: Change in Population Density: Population Density is in (P/Km²) Urban Pop: Count of Urban Population count Median Age: Median Age of Population Urban Pop%: percentage of Urban Population% Fertility Rate: Fertility Rate from 1955 to 2015 with an interval of 5 years and from 2015 to 2020 yearly.

3.World Population Projections(2020 -2100).csv

This dataset contains world population projections from 2020-2100 Year: From 2020-2100 World Population: Count of World Population Yearly Change(%): Percentage yearly change Net Change: Net change in population Density(P/Km²): Population Density is in (P/Km²)

4. World Population by Region(2020).csv

This dataset contains the Population across regions in the Year 2020 Region: Name of Region Population(2020): Population in 2020 Yearly Change(%): Percentage yearly change Net Change: Net change in population Density(P/Km²): Population Density is in (P/Km²) Land Area(Km²): Land Area of Region in Km² Migrants(net): The count of Migrants, has a negative value which indicates the count of people who migrated from that region to another region. Fert.Rate: Fertility Rate Med.Age: Median Age of Population Urban Pop %: Urban Population Percentage World Share: World Share of Population

5. World Population Forecast (2020-2050).csv

This dataset contains the population forecasts from 2020-2050 with an interval of 5 years. Year (July 1): Year Population: Total count of the population Yearly % Change: Percentage Change in population yearly Yearly Change: Yearly change in population Median Age: Median Age of Population Fertility Rate: Fertility Rate Density (P/Km²): Population Density is in (P/Km²)

Description

This Dataset contains details of World Population by country. According to the worldometer, the current population of the world is 8.2 billion people. Highest populated country is India followed by China and USA.

Attribute Information

• Rank : Country Rank by Population.
• Country : Name of the Country.
• Population(2024) : Current Population of each Country.
• Yearly Change : Percentage Yearly Change in Population.
• Net Change : Net change in the Population.
• Density (P/Km²) : Population density (population per square km)
• Land Area(Km²) : Total land area of the Country.
• Migrants (net) : Total number of migrants.
• Fertility Rate : Fertility rate
• Median Age : Median age of the population
• Urban Pop % : Percentage of urban population
• World Share : Share to the word with population.

Acknowledgements

https://www.worldometers.info/world-population/population-by-country/

Image by Gerd Altmann from Pixabay