In 2025, approximately 23 million people lived in the São Paulo metropolitan area, making it the biggest in Latin America and the Caribbean and the sixth 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 22.75 million inhabitants. Brazil's cities Brazil is home to two large metropolises, only counting the population within the city limits, São Paulo had approximately 11.45 million inhabitants, and Rio de Janeiro 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 88 percent of inhabitants living in cities. Mexico City Mexico City's metropolitan area ranks sevenths 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 2023, the city registered a crime incidence of 52,723 reported cases for every 100,000 inhabitants and around 24 percent of the population lived under the poverty line.

The below dataset shows the top 800 biggest cities in the world and their populations in the year 2024. It also tells us which country and continent each city is in, and their rank based on population size. Here are the top ten cities:

• Tokyo, Japan - in Asia, with 37,115,035 people.
• Delhi, India - in Asia, with 33,807,403 people.
• Shanghai, China - in Asia, with 29,867,918 people.
• Dhaka, Bangladesh - in Asia, with 23,935,652 people.
• Sao Paulo, Brazil - in South America, with 22,806,704 people.
• Cairo, Egypt - in Africa, with 22,623,874 people.
• Mexico City, Mexico - in North America, with 22,505,315 people.
• Beijing, China - in Asia, with 22,189,082 people.
• Mumbai, India - in Asia, with 21,673,149 people.
• Osaka, Japan - in Asia, with 18,967,459 people.

This statistic shows the biggest cities in El Salvador in 2024. In 2024, approximately ****** thousand people lived in San Salvador, making it the biggest city in El Salvador.

Content

In this dataset you can find hundreds of thousands of the largest cities in the world and info about their latitude, longitude, timezone, location, etc.

Acknowledgements

This data comes from https://data.world/fiftin/cities/workspace/file?filename=RU.txt.

Based on land area, Brazil is the largest country in Latin America by far, with a total area of over 8.5 million square kilometers. Argentina follows with almost 2.8 million square kilometers. Cuba, whose surface area extends over almost 111,000 square kilometers, is the Caribbean country with the largest territory.

Brazil: a country with a lot to offer

Brazil's borders reach nearly half of the South American subcontinent, making it the fifth-largest country in the world and the third-largest country in the Western Hemisphere. Along with its landmass, Brazil also boasts the largest population and economy in the region. Although Brasília is the capital, the most significant portion of the country's population is concentrated along its coastline in the cities of São Paulo and Rio de Janeiro.

South America: a region of extreme geographic variation

With the Andes mountain range in the West, the Amazon Rainforest in the East, the Equator in the North, and Cape Horn as the Southern-most continental tip, South America has some of the most diverse climatic and ecological terrains in the world. At its core, its biodiversity can largely be attributed to the Amazon, the world's largest tropical rainforest, and the Amazon river, the world's largest river. However, with this incredible wealth of ecology also comes great responsibility. In the past decade, roughly 80,000 square kilometers of the Brazilian Amazon were destroyed. And, as of late 2019, there were at least 1,000 threatened species in Brazil alone.

As of 2023, the top five most densely populated cities in Latin America and the Caribbean were in Colombia. The capital, Bogotá, ranked first with over ****** inhabitants per square kilometer.

Latin American cities face many problems that compromise them from different angles such as lack of infrastructure, government fragmentation, and environmental degradation. At the same time, each city tries to come up with its own solutions, but there are so many difficulties that in many cases it is difficult to keep attention and efforts focused on all these directions. For these reasons, this research aims to define some of the most common problems faced by cities in Latin America. Disseminating these similarities could help to face those problems, since, if local governments recognize that they face the same situations as their neighbors, they could organize themselves to study them and find solutions. To achieve these objectives, this research reviewed the diagnoses made by hundreds of Best Practice proposals collected in the libraries of UN Habitat and the Dubai International Award for Best Practices. Based on these results, this research built a proposal for the contest "Participatory Projects in Public Space Contest" organized in commemoration of the 450 years of Caracas. This proposal served as a case study where some of these cross-cutting problems in the region were explored. At the same time, the contest served as a framework to make these results public and promote discussion on some of these important issues. Finally, this research links different stages and synthesizes some important efforts that are intended to serve as a reference framework to better understand serious and everyday problems that are manifested in Latin American cities.

The concentration of people living in small areas has increased in the last decade, with more than half of the world's population living in cities. This is particularly true for Latin America, a region with no particular high contribution to the world total population, but hosts several large cities. The increase in urbanization causes several threats to wildlife that face the loss of their habitat and novel environmental pressures. As the number of wildlife entering cities seems to have increased in the last year, we characterize the temporal and geographical events of a widely distributed carnivore, the puma, Puma concolor. We performed an exhaustive search for media news regarding the sighting, capture, and/or killing of pumas within human settlement areas, and tried to relate them with potential explanatory variables. We found a total of 162 events in Latin America in a period of the last 10 years, particularly concentrated in the year 2020. Most records came from Brazil, followed by Argentina, Chile, and Mexico. Of the total, 41% were only sightings, 58% were captures, and a minor percentage were considered as mascotism. Almost the same number of records came from highly populated areas (cities) than from low populated areas (rural) but with important differences between countries. The countries with more records in urban areas (Brazil and Mexico) showed a larger surface occupied by cities. The countries with most records in rural areas (Argentina and Chile) present the opposite pattern of occupied surface. This might indicate that different percentages of areas dedicated to cities or urban spaces might explain the differences among countries. The most important variable related to puma events in the populated areas was sky brightness, while human density and cattle density explained minor parts. The “anthropause” due to the COVID-19 pandemic might explain the larger number of records from 2020, while the absence of high-quality habitats due to fragmentation and high cattle density, might force the pumas to enter populated areas searching for food. Minor values of night lights could be related to a facilitation of efficiency of foraging behavior. Although some bias might exist in the data, the results should be taken into account as general statements for all analyzed countries.

About this dataset

Context

This list ranks the 269 cities in the South Carolina by Hispanic American Indian and Alaska Native (AIAN) population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2018-2022 American Community Survey 5-Year Estimates
• 2017-2021 American Community Survey 5-Year Estimates
• 2016-2020 American Community Survey 5-Year Estimates
• 2015-2019 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Hispanic Native American Population: This column displays the rank of cities in the South Carolina by their Hispanic American Indian and Alaska Native (AIAN) population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Hispanic Native American Population: The Hispanic Native American population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as Hispanic Native American. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total South Carolina Hispanic Native American Population: This tells us how much of the entire South Carolina Hispanic Native American population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

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/.

IntroductionWe aimed to examine utilitarian bicycle use among adults from 18 large Latin American cities and its association with socio-economic position (education and income) between 2008 and 2018.MethodsData came from yearly cross-sectional surveys collected by the Development Bank of Latin America (CAF). A total of 77,765 survey respondents with complete data were used to estimate multilevel logistic regression models with city as random intercept and year as random slope.ResultsIndividuals with high education and high-income levels had lower odds of using a bicycle compared with participants with lower education and income levels. These associations, however, changed over time with the odds of bicycle use increasing for all groups, especially among individuals with the highest education and income levels.DiscussionOur results confirm the broadening appeal of bicycling across socio-economic positions in several Latin American cities and reinforce the importance of considering policies aimed at supporting and enhancing bicycle travel for all users.

About this dataset

Context

This list ranks the 269 cities in the South Carolina by Black or African American population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2018-2022 American Community Survey 5-Year Estimates
• 2017-2021 American Community Survey 5-Year Estimates
• 2016-2020 American Community Survey 5-Year Estimates
• 2015-2019 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Black Population: This column displays the rank of cities in the South Carolina by their Black or African American population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Black Population: The Black population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as Black. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total South Carolina Black Population: This tells us how much of the entire South Carolina Black population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

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/.

Here we produced the first 10 m resolution urban green space (UGS) map for the main urban clusters across 371 major Latin American cities as of 2017. Our approach applied a supervised classification of Sentinel-2 satellite imagery and UGS samples derived from OpenStreetMap (OSM). The overall accuracy of this UGS map in 11 randomly selected cities was 0.87, evaluated by independently collected validation samples (‘ground truth’). We further improved mapping quality through a visual inspection and additional sample collection. The resulting UGS map enables studies to measure area, spatial configuration, and human exposures to UGS, facilitating studies about the relationship between UGS and human exposures to environmental hazards, public health outcomes, and environmental justice issues in Latin American cities.UGS in this map series includes grass, shrub, forest, and farmland, and non-UGS included buildings, pavement, roads, barren land, and dry vegetation.The UGS map series includes three sets of files:(1) binary UGS maps at 10 m spatial resolution in GEOTIFF format (UGS.zip), with each of the 371 cities being an individual map. Mapped value of 1 indicates UGS, 0 indicates non-UGS, and no data (with value of -32768) indicates areas outside the mapped boundary or water bodies;(2) a shapefile of mapped boundaries (Boundaries.zip). The boundary file contains city name, country name and its ISO-2 country code, and an ID field linking each city's boundary to the corresponding UGS map.(3) .prj files containing projection information for the binary UGS maps and boundary shapefile. The binary UGS maps are projected with World Geodetic System (WGS) 84 / Pseudo-Mercator projected coordinate system (EPSG: 3857), and the boundary shapefile is projected with WGS 1984 geographic coordinate system (EPSG: 4326)Reference: A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMap, published by Scientific Data [link].Citation: Ju, Y., Dronova, I., & Delclòs-Alió, X. (2022). A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMap. Scientific Data, 9, Article 1. https://doi.org/10.1038/s41597-022-01701-y

In 2022, Buenos Aires was the leading destination for the meetings, incentives, conferences, and exhibitions (MICE) travel market in Latin America, surpassing the next city in the list by ** events.

Latin American fertility study conducted between 1964-66. The seven cities included in the study are Bogota, Buenos Aires, Mexico City, Caracas, Panama City, Rio de Janeiro, and San Jose (Costa Rica). The three largest Latin American cities included were Buenos Aires, Mexico and Rio de Janeiro. Medium sized cities were represented by Bogota and Caracas. The smallest cities included were Panama City and San Jose. Individuals surveyed were women, 20-50 years of age and all marital statuses. These city studies were conducted from 1964-66 in each country by national institutions with the design and supervision of the U.N. Demographic Training Center, CELADE, in Santiago. The Community and Family Study Center of the University of Chicago standardized the codes and the Population Council organized them into the present format. Topics included urbanization, levels and trends of fertility, attitudes and opinions toward desired family size and family planning, use of contraceptives, attitudes toward their use, and means of communicating about them. Additional demographic, economic, social and psychological details were also gathered.

The Research on Early Life and Aging Trends and Effects (RELATE) study compiles cross-national data that contain information that can be used to examine the effects of early life conditions on older adult health conditions, including heart disease, diabetes, obesity, functionality, mortality, and self-reported health. The complete cross sectional/longitudinal dataset (n=147,278) was compiled from major studies of older adults or households across the world that in most instances are representative of the older adult population either nationally, in major urban centers, or in provinces. It includes over 180 variables with information on demographic and geographic variables along with information about early life conditions and life course events for older adults in low, middle and high income countries. Selected variables were harmonized to facilitate cross national comparisons. In this first public release of the RELATE data, a subset of the data (n=88,273) is being released. The subset includes harmonized data of older adults from the following regions of the world: Africa (Ghana and South Africa), Asia (China, India), Latin America (Costa Rica, major cities in Latin America), and the United States (Puerto Rico, Wisconsin). This first release of the data collection is composed of 19 downloadable parts: Part 1 includes the harmonized cross-national RELATE dataset, which harmonizes data from parts 2 through 19. Specifically, parts 2 through 19 include data from Costa Rica (Part 2), Puerto Rico (Part 3), the United States (Wisconsin) (Part 4), Argentina (Part 5), Barbados (Part 6), Brazil (Part 7), Chile (Part 8), Cuba (Part 9), Mexico (Parts 10 and 15), Uruguay (Part 11), China (Parts 12, 18, and 19), Ghana (Part 13), India (Part 14), Russia (Part 16), and South Africa (Part 17). The Health and Retirement Study (HRS) was also used in the compilation of the larger RELATE data set (HRS) (N=12,527), and these data are now available for public release on the HRS data products page. To access the HRS data that are part of the RELATE data set, please see the collection notes below.

The Latin American public safety market, valued at $51.11 million in 2025, is poised for significant growth, exhibiting a Compound Annual Growth Rate (CAGR) of 6.40% from 2025 to 2033. This expansion is driven by several key factors. Rising crime rates across major Latin American cities are compelling governments to invest heavily in advanced technologies for improved surveillance, crime prevention, and emergency response. Furthermore, increasing adoption of cloud-based solutions offers scalability and cost-effectiveness, fueling market growth. The market is segmented by component (software – encompassing location management, record management, investigation management, crime analysis, and criminal intelligence – and services), deployment mode (on-premise and cloud), and end-user industry (medical, transportation, law enforcement, firefighting, and others). The increasing prevalence of sophisticated cybercrime necessitates robust cybersecurity measures within public safety systems, further boosting demand for specialized software and services. Government initiatives promoting digital transformation and smart city projects are also contributing positively to market expansion. However, challenges such as budgetary constraints in certain regions and the need for robust data privacy regulations could act as potential restraints. The significant market share held by law enforcement agencies is expected to remain prominent throughout the forecast period. The robust growth trajectory is fueled by the increasing adoption of integrated security systems offering comprehensive solutions. Companies like Cisco, Esri, Genetec, Honeywell, and Motorola Solutions are major players, leveraging their expertise in advanced technologies to cater to the evolving needs of Latin American public safety agencies. The market is witnessing a transition towards cloud-based solutions driven by their inherent flexibility and enhanced accessibility. This trend is particularly pronounced in regions with improved internet infrastructure. The presence of established players alongside emerging technology providers ensures a competitive market, spurring innovation and driving down costs. Continued investment in research and development of cutting-edge technologies will be crucial in shaping the market landscape and effectively addressing the escalating security challenges in the region. Brazil, Mexico, Argentina, and Colombia are anticipated to represent significant portions of the market, reflecting their larger populations and higher crime rates. Recent developments include: February 2024: Irisity, a Swedish AI and video analytics software provider, increased investments in Latin America, focusing on public security, transportation, and mission-critical infrastructure. The company supplies technology in countries like Mexico and Argentina and supports emergency services in Ecuador and the Dominican Republic. Additionally, Irisity collaborates with the Uruguayan security firm Grupo Securitas. The regional strategy includes bolstering brand recognition, expanding the team, and fostering partnerships with integrators, resellers, and camera manufacturers., June 2023: Hexagon AB's Safety, Infrastructure & Geospatial division launched a new Citizen Reporting portal for its HxGN OnCall Records suite. The portal allows citizens to file police reports online, search for incident records, request services, and view incident maps. According to the company, this public-facing portal aims to streamline interactions between citizens and law enforcement agencies, increase transparency, and alleviate staffing challenges that public safety agencies and local governments face.. Key drivers for this market are: Increasing Investments in Advanced Cybersecurity Technologies to Protect Sensitive Data, Critical Infrastructure, Stringent Government Regulations to Invest in Safety Measures to Enhance Safety. Potential restraints include: Increasing Investments in Advanced Cybersecurity Technologies to Protect Sensitive Data, Critical Infrastructure, Stringent Government Regulations to Invest in Safety Measures to Enhance Safety. Notable trends are: Software Component to Hold Significant Market Share.

The size of the South America City Gas Distribution Market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 2.00% during the forecast period. Recent developments include: August 2022: As part of Ambipar's initial investment of USD 5.5 million, it incorporates trucks equipped with compressed natural gas (CNG) technology, such as Scania R 410 6X2 models, into its fleet. Ambipar estimates a 20% reduction in carbon dioxide emissions in the Corridor after the first year of circulation of these new units. By incorporating compressed natural gas (CNG) trucks on a large scale, the Sustainable Corridor Project begins the process of changing its fleet's energy matrix to renewable and cleaner sources of power., May 2022: Compagas, Parana state's gas distribution company, and Brazilian logistic operator NEOgas started a pilot project to transport compressed natural gas (CNG) via natural gas-fueled trucks. The project aims to provide a greener and more cost-effective solution to the transportation of natural gas to the countryside of Brazil. The pilot project lasts around 30 days, with NEOgas compressing Compagas' natural gas at the Ponta Grossa station. The natural gas-fueled trucks from vehicle manufacturer Scania will then transport the gas daily for 130 km to the city of Arapoti, where the paper company BO Paper plans to use it.. Key drivers for this market are: 4., Rising Industrialization across the Globe4.; Increasing Utilization of Natural Gas. Potential restraints include: 4., High Cost of Installation and Maintenance. Notable trends are: Power Sector to Dominate the Market.

Abstract The city territory is the locus of housing market agents’ actions, which are inducers of the cities’ demographic differentiation process. This study aimed to analyze the idea that the market action establishes a new logic of urban occupation. Our goal is to understand the relationship between the action of the housing market in the city of Recife-PE and the process of gentrification resulting therefrom. We conducted a case study in the Boa Viagem neighborhood, the main focus of the formal housing market. The work is descriptive in nature and uses a statistical model of linear regression to establish a concise understanding of the relationship between some demographic variables of the neighborhood and the housing market action. The results indicated a gradual rising of the socioeconomic variables in these neighborhoods, and this increase was higher than in neighborhoods where the market action was minor or nonexistent. The hypothesis that the housing market action establishes a process of segmentation and demographic-spatial differentiation was confirmed, denoting the occurrence of real estate change and consequent process of gentrification.

This feature layer provides access to OpenStreetMap (OSM) tourist attraction point data for South America, which is updated every 5 minutes with the latest edits. This hosted feature layer view is referencing a hosted feature layer of OSM point (node) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes tourism features defined as a query against the hosted feature layer (i.e. tourism is not blank).In OSM, tourism features are places and things of specific interest to tourists including places to see, places to stay, things and places providing information and support to tourists. These features are identified with a tourism tag. There are hundreds of different tag values used in the OSM database. In this feature layer, unique symbols are used for several of the most popular tourism types, while lesser used types are grouped in an "other" category.Zoom in to large scales (e.g. Cities level or 1:160k scale) to see the tourism features display. You can click on a feature to get the name of the tourism feature. The name of the feature will display by default at very large scales (e.g. Building level of 1:2k scale). Labels can be turned off in your map if you prefer.Create New LayerIf you would like to create a more focused version of this tourism layer displaying just one or two tourism types, you can do that easily! Just add the layer to a map, copy the layer in the content window, add a filter to the new layer (e.g. tourism is ruin), rename the layer as appropriate, and save layer. You can also change the layer symbols or popup if you like.Important Note: if you do create a new layer, it should be provided under the same Terms of Use and include the same Credits as this layer. You can copy and paste the Terms of Use and Credits info below in the new Item page as needed.

This foot traffic dataset provides GPS-based mobile movement signals from across South America. It is ideal for retailers, city agencies, advertisers, and real estate professionals seeking insights into how people move through physical locations and urban spaces.

Each record includes:

Device ID (IDFA or GAID) Timestamps (in milliseconds and readable format) GPS coordinates (lat/lon) Country code Horizontal accuracy (85%) Optional IP address, mobile carrier, and device model

Access the data via polygon queries (up to 10,000 tiles), and receive files in CSV, JSON, or Parquet, delivered hourly or daily via API, AWS S3, or Google Cloud. Data freshness is strong (95% delivered within 3 days), with full historical backfill available from September 2024.

This solution supports flexible credit-based pricing and is privacy-compliant under GDPR and CCPA.

Key Attributes:

Custom POI or polygon query capability Backfilled GPS traffic available across LATAM High-resolution movement with daily/hourly cadence GDPR/CCPA-aligned with opt-out handling Delivery via API or major cloud platforms

Use Cases:

Competitive benchmarking across malls or stores Transport and infrastructure planning Advertising attribution for outdoor/DOOH campaigns Footfall modeling for commercial leases City zoning, tourism, and planning investments Telecom & tower planning across developing corridors