2007 marked the first year where more of the world's population lived in an urban setting than a rural setting. In 1960, roughly a third of the world lived in an urban setting; it is expected that this figure will reach two thirds by 2050. Urbanization is a fairly new phenomenon; for the vast majority of human history, fewer than five percent of the world lived in urban areas, due to the dependency on subsistence agriculture. Advancements in agricultural practices and technology then coincided with the beginning of the industrial revolution in Europe in the late 19th century, which resulted in waves of urbanization to meet the demands of emerging manufacturing industries. This trend was replicated across the rest of the world as it industrialized over the following two centuries, and the most significant increase coincided with the industrialization of the most populous countries in Asia. In more developed economies, urbanization remains high even as economies de-industrialize, due to a variety of factors such as housing availability, labor demands in service industries, and social trends.

In 2025, the degree of urbanization worldwide was at 58 percent. North America, Latin America, and the Caribbean were the regions with the highest level of urbanization, with over four-fifths of the population residing in urban areas. The degree of urbanization defines the share of the population living in areas defined as "cities". On the other hand, less than half of Africa's population lives in urban settlements. Globally, China accounts for over one-quarter of the built-up areas of more than 500,000 inhabitants. The definition of a city differs across various world regions - some countries count settlements with 100 houses or more as urban, while others only include the capital of a country or provincial capitals in their count. Largest agglomerations worldwideThough North America is the most urbanized continent, no U.S. city was among the top ten urban agglomerations worldwide in 2023. Tokyo-Yokohama in Japan was the largest urban area in the world that year, with 37.7 million inhabitants. New York ranked 13th, with 21.4 million inhabitants. Eight of the 10 most populous cities are located in Asia. ConnectivityIt may be hard to imagine how the reality will look in 2050, with 70 percent of the global population living in cities, but some statistics illustrate the ways urban living differs from suburban and rural living. American urbanites may lead more “connected” (i.e., internet-connected) lives than their rural and/or suburban counterparts. As of 2021, around 89 percent of people living in urban areas owned a smartphone. Internet usage was also higher in cities than in rural areas. On the other hand, rural areas always have, and always will, attract those who want to escape the rush of the city.

Actual value and historical data chart for World Urban Population

United States US: Urban Population Growth data was reported at 0.952 % in 2017. This records a decrease from the previous number of 0.968 % for 2016. United States US: Urban Population Growth data is updated yearly, averaging 1.152 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 2.449 % in 1960 and a record low of 0.927 % in 1974. United States US: Urban Population Growth 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. Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects.; ; World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.; Weighted average;

This comprehensive dataset, derived from the United Nations World Urbanization Prospects 2018, provides detailed insights into the global demographic shifts from 1950 to 2050. It covers a wide range of data points including total, urban, and rural populations, alongside growth rates and urbanization trends across different regions, subregions, and countries.

Dataset Files WUP2018-F01-Total_Urban_Rural.xls: Population counts for urban and rural areas as of mid-2018, including percentages. WUP2018-F02-Proportion_Urban.xls: Historical and projected percentages of urban populations from 1950 to 2050. WUP2018-F03-Urban_Population.xls: Urban population figures from 1950 to 2050. WUP2018-F04-Rural_Population.xls: Rural population figures from 1950 to 2050. WUP2018-F05-Total_Population.xls: Total population figures from 1950 to 2050. WUP2018-F06-Urban_Growth_Rate.xls: Annual urban population growth rates from 1950 to 2050. WUP2018-F07-Rural_Growth_Rate.xls: Annual rural population growth rates from 1950 to 2050. WUP2018-F08-Total_Growth_Rate.xls: Total population growth rates from 1950 to 2000. WUP2018-F09-Urbanization_Rate.xls: Changes in the rate of urbanization from 1950 to 2050. WUP2018-F10-Rate_Proportion_Rural.xls: Changes in the proportion of rural populations from 1950 to 2050. WUP2018-F18-Total_Population_Annual.xls: Detailed annual total population data from 1950 to 2050. WUP2018-F19-Urban_Population_Annual.xls: Detailed annual urban population data from 1950 to 2050. WUP2018-F20-Rural_Population_Annual.xls: Detailed annual rural population data from 1950 to 2050. WUP2018-F21-Proportion_Urban_Annual.xls: Detailed annual urban population percentages from 1950 to 2050. Potential Uses This dataset is invaluable for researchers, policy makers, urban planners, and sociologists interested in understanding the dynamics of urbanization and its impacts on global development. The data can be used for:

Analyzing trends in urban and rural growth. Forecasting future demographic shifts. Planning for infrastructure, services, and resources in rapidly urbanizing regions. Studying regional differences in development and urbanization.

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.

Actual value and historical data chart for World Urban Population Percent Of Total

These charts shows the world trend in urban populations, people living in cities, from the year 1800 to 2100.

United States US: Urban Population data was reported at 267,278,643.000 Person in 2017. This records an increase from the previous number of 264,746,567.000 Person for 2016. United States US: Urban Population data is updated yearly, averaging 184,283,180.000 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 267,278,643.000 Person in 2017 and a record low of 126,462,473.000 Person in 1960. United States US: Urban Population 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. Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects. Aggregation of urban and rural population may not add up to total population because of different country coverages.; ; World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.; Sum;

This statistic shows the percentage of the total population living in urban areas worldwide from 1950 to 2050, by regional development level. By 2050, more developed regions of the world will have 86.6 percent of their populations living in urban areas.

The average for 2024 based on 196 countries was 61.7 percent. The highest value was in Bermuda: 100 percent and the lowest value was in Papua New Guinea: 13.88 percent. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.

Germany DE: Urban Population Growth data was reported at -0.469 % in 2023. This records a decrease from the previous number of 0.855 % for 2022. Germany DE: Urban Population Growth data is updated yearly, averaging 0.367 % from Dec 1961 (Median) to 2023, with 63 observations. The data reached an all-time high of 1.207 % in 1961 and a record low of -1.602 % in 2011. Germany DE: Urban Population Growth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Population and Urbanization Statistics. Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects.;World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.;Weighted average;

Historical dataset showing World urban population by year from 1960 to 2023.

Dataset Description: Worldometer Data Introduction This dataset contains detailed information on the population statistics of various countries, compiled from Worldometer. It includes demographic data such as yearly population changes, migration numbers, fertility rates, and urbanization metrics over multiple years.

Dataset Overview Total Entries: 4,104 Total Columns: 14 Columns Description country (object):

The name of the country. Example: 'India', 'China'. year (float64):

The year for which the data is recorded. Example: 2024, 2023. population (object):

The total population for the given year. Example: '1,441,719,852', '1,428,627,663'. yearly_change_pct (object):

The percentage change in population from the previous year. Example: '0.92%', '0.81%'. yearly_change (object):

The absolute change in population from the previous year. Example: '13,092,189', '11,454,490'. migrants (object):

The net number of migrants for the given year. Example: '-486,784', '-486,136'. median_age (object):

The median age of the population. Example: '28.6', '28.2'. fertility_rate (object):

The fertility rate for the given year. Example: '1.98', '2.00'. density_p_km2 (object):

The population density per square kilometer. Example: '485', '481'. urban_pop_pct (object):

The percentage of the population living in urban areas. Example: '36.8%', '36.3%'. urban_pop (object):

The total urban population for the given year. Example: '530,387,142', '518,239,122'. share_of_world_pop_pct (object):

The country's share of the world's population as a percentage. Example: '17.76%', '17.77%'. world_pop (object):

The total world population for the given year. Example: '8,118,835,999', '8,045,311,447'. global_rank (float64):

The global population rank of the country for the given year. Example: '1.0', '2.0'. Data Quality Missing Values:

Some columns have missing values which need to be handled before analysis. Columns with significant missing data: year, population, yearly_change_pct, yearly_change, migrants, median_age, fertility_rate, density_p_km2, urban_pop_pct, urban_pop, share_of_world_pop_pct, world_pop, global_rank. Data Types:

Most columns are of type object due to the presence of commas and percentage signs. Conversion to appropriate numeric types (e.g., integers, floats) is required for analysis. Potential Uses Demographic Analysis: Study population growth trends, migration patterns, and changes in fertility rates. Urbanization Studies: Analyze urban population growth and density changes over time. Global Ranking: Evaluate and compare the population statistics of different countries. Conclusion This dataset provides a comprehensive view of the world population trends over the years. Cleaning and preprocessing steps, including handling missing values and converting data types, will be necessary to prepare the data for analysis. This dataset can be valuable for researchers, demographers, and data scientists interested in population studies and demographic trends.

File Details Filename: worldometer_data.csv Size: 4104 rows x 14 columns Format: CSV Source Website: Worldometer Scraped Using: Scrapy

The Global Population Count Grid Time Series Estimates provide a back-cast time series of population grids based on the year 2000 population grid from SEDAC's Global Rural-Urban Mapping Project, Version 1 (GRUMPv1) data set. The grids were created by using rates of population change between decades from the coarser resolution History Database of the Global Environment (HYDE) database to back-cast the GRUMPv1 population count grids. Mismatches between the spatial extent of the HYDE calculated rates and GRUMPv1 population data were resolved via infilling rate cells based on a focal mean of values. Finally, the grids were adjusted so that the population totals for each country equaled the UN World Population Prospects (2008 Revision) estimates for that country for the respective year (1970, 1980, 1990, and 2000). These data do not represent census observations for the years prior to 2000, and therefore can at best be thought of as estimations of the populations in given locations. The population grids are consistent internally within the time series, but are not recommended for use in creating longer time series with any other population grids, including GRUMPv1, Gridded Population of the World, Version 4 (GPWv4), or non-SEDAC developed population grids. These population grids served as an input to SEDAC's Global Estimated Net Migration Grids by Decade: 1970-2000 data set. To provide back-cast population count estimates at 30 arc-second (~1 km) resolution.

Have you ever wondered how the population landscape of our planet looks in 2025? This dataset brings together the latest population statistics for 233 countries and territories, carefully collected from Worldometers.info — one of the most trusted global data sources.

📊 It reveals how countries are growing, shrinking, and evolving demographically. From population density to fertility rate, from migration trends to urbanization, every number tells a story about humanity’s future.

🌆 You can explore which nations are rapidly expanding, which are aging, and how urban populations are transforming global living patterns. This dataset includes key metrics like yearly population change, net migration, land area, fertility rate, and each country’s share of the world population.

🧠 Ideal for data analysis, visualization, and machine learning, it can be used to study global trends, forecast population growth, or build engaging dashboards in Python, R, or Tableau. It’s also perfect for students and researchers exploring geography, demographics, or development studies.

📈 Whether you’re analyzing Asia’s population boom, Europe’s aging curve, or Africa’s youthful surge — this dataset gives you a complete view of the world’s demographic balance in 2025. 🌎 With 233 rows and 12 insightful columns, it’s ready for your next EDA, visualization, or predictive modeling project.

🚀 Dive in, explore the data, and uncover what the world looks like — one country at a time.

The Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 2 data set consists of country-level estimates of urban population, rural population, total population and land area country-wide and in LECZs for years 1990, 2000, 2010, and 2100. The LECZs were derived from Shuttle Radar Topography Mission (SRTM), 3 arc-second (~90m) data which were post processed by ISciences LLC to include only elevations less than 20m contiguous to coastlines; and to supplement SRTM data in northern and southern latitudes. The population and land area statistics presented herein are summarized at the low coastal elevations of less than or equal to 1m, 3m, 5m, 7m, 9m, 10m, 12m, and 20m. Additionally, estimates are provided for elevations greater than 20m, and nationally. The spatial coverage of this data set includes 202 of the 232 countries and statistical areas delineated in the Gridded Rural-Urban Mapping Project version 1 (GRUMPv1) data set. The 30 omitted areas were not included because they were landlocked, or otherwise lacked coastal features. This data set makes use of the population inputs of GRUMPv1 allocated at 3 arc-seconds to match the SRTM elevations, and at 30 arc-seconds resolution in order to reflect uncertainty levels in the product resulting from the interplay of input population data resolutions (based on census units) and the elevation data. Urban and rural areas are differentiated by the GRUMPv1 Urban Extents. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). To provide estimates of urban and rural populations and land areas for the years 1990, 2000, and 2010; and projections to the year 2100 for 202 countries with contiguous coastal elevations in the following categories: less than or equal to 1m, 3m, 5m, 7m, 9m, 10m, 12m, or 20m; as well as national totals.

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)

Actual value and historical data chart for World Urban Population Growth Annual Percent

This aggregate data collection is an extract of the International Data Base (IDB), a computerized central repository of demographic, economic, and social data for all countries of the world. Data available in this collection include total midyear population estimates and projections (1950-1985), percent urban population, estimates and projections of crude birth rate, crude death rate, net migration rate, rate of natural increase, and annual growth rate, infant mortality rate and life expectancy at birth by sex, percent literate by sex, and percent of the labor force in agriculture.