This statistic shows the top 25 cities in the United States with the highest resident population as of July 1, 2022. There were about 8.34 million people living in New York City as of July 2022.

In 2024, approximately 22.81 million people lived in the São Paulo metropolitan area, making it the biggest in Latin America and the Caribbean and the fifth most populated in the world. The homonymous state of São Paulo was also the most populous federal entity in the country. The second place for the region was Mexico City with 22.51 million inhabitants.

Brazil's cities

Brazil is home to two large metropolises, only counting the population within the city limits, São Paulo had approximately 12.4 million inhabitants, and Rio de Janeiro around 6.8 million inhabitants. It also contains a number of smaller, but well known cities such as Brasília, Salvador, Belo Horizonte and many others, which report between 2 and 3 million inhabitants each. As a result, the country's population is primarily urban, with nearly 85 percent of inhabitants living in cities.

Mexico City

Mexico City's metropolitan area ranks fifth in the ranking of most populated cities in the world. Founded over the Aztec city of Tenochtitlan in 1521 after the Spanish conquest as the capital of the Viceroyalty of New Spain, the city still stands as one of the most important in Latin America. Nevertheless, the preeminent economic, political, and cultural position of Mexico City has not prevented the metropolis from suffering the problems affecting the rest of the country, namely, inequality and violence. Only in 2021, the city registered a crime incidence of 45,336 reported cases for every 100,000 inhabitants and around 32 percent of the population lived under the poverty line.

A dataset listing Maine cities by population for 2024.

Japan’s largest city, greater Tokyo, had a staggering 37.27 million inhabitants in 2022, making it the most populous city across the Asia-Pacific region. India had the second largest city after Japan with a population consisting of approximately 32 million inhabitants. Contrastingly, approximately 400 thousand inhabitants populated Papua New Guinea's largest city in 2022.

A megacity region Not only did Japan and India have the largest cities throughout the Asia-Pacific region but they were among the three most populated cities worldwide in 2023. Interestingly, over half on the world’s megacities were situated in the Asia-Pacific region. However, being home to more than half of the world’s population, it does not seem surprising that by 2025 it is expected that more than two thirds of the megacities across the globe will be located in the Asia Pacific region. Other megacities are also expected to emerge within the Asia-Pacific region throughout the next decade. There have even been suggestions that Indonesia’s Jakarta and its conurbation will overtake Greater Tokyo in terms of population size by 2030.

Increasing populations Increased populations in megacities can be down to increased economic activity. As more countries across the Asia-Pacific region have made the transition from agriculture to industry, the population has adjusted accordingly. Thus, more regions have experienced higher shares of urban populations. However, as many cities such as Beijing, Shanghai, and Seoul have an aging population, this may have an impact on their future population sizes, with these Asian regions estimated to have significant shares of the population being over 65 years old by 2035.

In 2022, approximately 11.45 million people lived in São Paulo, making it the largest municipality in Brazil and one of the most populous cities in the world. The homonymous state of São Paulo was also the most populous federal entity in the country.

Brazil's cities

Brazil is home to two large metropolises: São Paulo with close to 11.45 million inhabitants, and Rio de Janeiro with around 6.21 million inhabitants. It also contains a number of smaller, but well known cities such as Brasília, Salvador, Belo Horizonte and many others, which report between 2 and 3 million inhabitants each. As a result, the country's population is primarily urban, with nearly 85 percent of inhabitants living in cities.

While smaller than some of the other cities, Brasília was chosen to be the capital because of its relatively central location. The city is also well-known for its modernist architecture and utopian city plan which is quite controversial - criticized by many and praised by others.

Sports venues capitals

A number of Brazil’s medium-sized and large cities were chosen as venues for the 2014 World Cup, and the 2015 Summer Olympics also took place in Rio de Janeiro. Both of these events required large sums of money to support infrastructure and enhance mobility within a number of different cities across the country. Billions of dollars were spent on the 2014 World Cup, which went primarily to stadium construction and renovation, but also to a number of different mobility projects. Other short-term spending on infrastructure for the World Cup and the Rio Olympic Games was estimated at around 50 billion U.S. dollars. While these events have poured a lot of money into urban infrastructure, a number of social and economic problems within the country remain unsolved.

Russia's capital, Moscow, was the largest city in the country with over 13.1 million residents as of January 1, 2024. Less than a half of Moscow's population resided in Saint Petersburg, the second-most populous city in the country. The third-largest city, Novosibirsk, was located in the Siberian Federal District, being the highest-populated city in the Asian part of Russia. Why is Moscow so populated? The Russian capital is the center of political, industrial, business, and cultural life in Russia. Despite being one of the most expensive cities worldwide, it continues to attract people from Russia and abroad, with its resident population following a generally upward trend over the past decade. Wages in Moscow are higher than in Russia on average, and more opportunities for employment and investment are available in the capital. Furthermore, the number of people living in Moscow was forecast to continue rising, exceeding 12.8 million by 2035. Urbanization in Russia In 2024, around 109 million Russian residents lived in cities. That was approximately three-quarters of the country’s population. The urbanization rate increased steadily over the 20th century, leading to a decline in the rural population. Among the country’s regions, the Northwestern Federal District had the highest share of residents in urban areas, measured at 85 percent. In the Central Federal District, the tendency was that more people moved to Moscow and cities in the Moscow Oblast.

Mogadishu in Somalia led the ranking of cities with the highest population density in 2023, with 33,244 residents per square kilometer. When it comes to countries, Monaco is the most populated state worldwide.

This dataset contains estimates for demographic indicators shared by the Big Cities Health Coalition members represented by the largest metropolitan health departments in United States. The estimated values of demographic indicators cover the 2010-2015 period and are described by location, sex and race/ethnicity.

The population of Tokyo City amounted to approximately 9.57 million people in 2023. Sapporo, the largest city on the northern Japanese island Hokkaido, came in fifth with around 1.96 million inhabitants in the same year.

This statistic shows the biggest cities in Ecuador in 2022. In 2022, approximately 2.65 million people lived in Guayaquil, making it the biggest city in Ecuador.

Rome is the most populous city in Italy. With 2.75 million inhabitants, the capital of the country put ahead Milan and Naples. Compared to the number of citizens in 2012, the resident population of Rome increased by over 140,000 individuals. Regional data Rome is located in the center of Italy in the Lazio region. Lazio is the second-largest region in terms of population size after Lombardy. In 2024, the region counts roughly 5.7 million inhabitants, whereas Lombardy has over ten million individuals. The third-largest region is Campania, with 5.6 million people. Naples, the major center of Campania, has around 910,000 inhabitants at the beginning of 2024. Nevertheless, this city was, back in the 19th century, one of the largest cities in Western Europe. Tourism in Rome The Eternal City is also the main tourist destination in Italy and was the eighth most-visited city in Europe. The largest groups of international visitors in Rome came from the United States of America, Japan, and the United Kingdom. Every year, more and more tourists also enjoy the best-known tourist attractions in Rome, like the Colosseum, the Roman Forum, and the Palatine Hill, which together recorded almost ten million visitors in 2022.

As of 2024, an estimate of 7.93 million people lived in Bogotá — the capital of Colombia and most populated city in the country. With 2.62 million, Medellín ranked second that year in the list of largest Colombian cities. Cali, located at the southwest of the country, followed closely behind with nearly 2.3 million inhabitants.

Population and household characteristics by built-up area (BUA) size classification and individual BUAs, England (excluding London) and Wales, Census 2021. Data are available at a country, BUA size classification and individual BUA level.

This layer shows basic population and housing context. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the predominant housing type: owner-occupied, renter-occupied, or vacant. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B01001, B03002, B05003, B05011, B19049, B25002, B25003, B25058, B25077 Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Diamond City by race. It includes the distribution of the Non-Hispanic population of Diamond City across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Diamond City across relevant racial categories.

Key observations

Of the Non-Hispanic population in Diamond City, the largest racial group is White alone with a population of 809 (95.63% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Diamond City
• Population: The population of the racial category (for Non-Hispanic) in the Diamond City is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Diamond City total Non-Hispanic 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 Diamond City Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 65-69 years (51) | Female # 65-69 years (58). 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

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 Hancock town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Hancock town is shown in the following column.
• Population (Female): The female population in the Hancock town 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 Hancock town 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 Hancock town Population by Gender. You can refer the same here

With approximately 9.57 million inhabitants, Tokyo was Japan's most populous city as of 2023, followed by Yokohama, which, in the same year, counted about 3.75 million inhabitants. In total, there were twelve cities with a population of over one million people in Japan.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Winter town by race. It includes the distribution of the Non-Hispanic population of Winter town across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Winter town across relevant racial categories.

Key observations

Of the Non-Hispanic population in Winter town, the largest racial group is White alone with a population of 726 (86.22% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Winter town
• Population: The population of the racial category (for Non-Hispanic) in the Winter town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Winter town total Non-Hispanic 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 Winter town Population by Race & Ethnicity. You can refer the same here

The largest city in Finland is Helsinki with 674,500 inhabitants. Helsinki is the capital of Finland, and it is located in the south within the Uusimaa region. In 2023, the second largest city was Espoo, a city located in the Greater Helsinki metropolitan area, which had approximately 314,000 inhabitants. After the cities of Helsinki and Espoo, the third largest and most populous city outside the capital region was Tampere, with roughly 255,100 inhabitants.

The Finnish population is highly concentrated in southern Finland

The total population of Finland is roughly 5.6 million. Finland is one of the most sparsely populated countries in Europe, and the population is highly concentrated in the southern and southwestern parts of the country. Since 1915 the population of Finland grew steadily from 3.1 million to more than 5.6 million inhabitants. But the upwards trend slowed down in recent years.

The median age of the Finnish population is rising

While the population growth slowed down the Finnish population also got older. The media age increased from 27.8 years in 1950 to 39.4 years in 2000. The estimated median age for the Finnish population in 2022 was 42.6 years.

In 2023, Prague was the most populous city in Czechia with nearly 1.38 million inhabitants. Brno was the second largest city in population with over 400 thousand inhabitants, followed by Ostrava with a population of 317.5 thousand.