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.

The South American City Gas Distribution Market is Segmented by Type (Compressed Natural Gas (CNG) and Pipeline Natural Gas (PNG)), End-user (Industrial, Power Sector, Residential and Commercial, and Transportation), Geography (Brazil, Argentina, Chile, and Rest of South America). The report provides market sizes and forecasts in terms of value in USD billion for all the above segments.

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 2024, three out of ten Latin American and Caribbean cities with the highest local purchasing power were located in Mexico. With an index score of 51.3, people in Querétaro had the highest domestic purchasing power in Mexico. In South America, the city with the highest domestic purchasing power for 2024 was Montevideo, scoring 53 index points.

The Mexican city of Cancún was the top Latin American destination for foreign visitors in 2018, with approximately 6.04 million international tourist arrivals. This number was expected to increase by 1.8 percent in 2019, reaching 6.15 million foreign arrivals that year. Argentina's capital, Buenos Aires, ranked second on the list of top city destinations for international tourism in Latin America, with nearly 2.7 million international tourist arrivals in 2018 and an estimate of 2.77 million arrivals for 2019. During the depicted period, the most visited city in the whole American continent was New York.

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.

The city of Bogotá, Colombia, ranked first as the Latin American metropolis most prone to traffic jams in 2021. According to the index, the Colombian capital experienced an average traffic increase of 55 percent during rush hours. Peru's capital, Lima, recorded the second worst congestion level that year, meaning that driving in the city took around 42 percent longer at peak time than under low traffic conditions. Out of the top 12 Latin American cities evaluated in 2021, seven are located in Brazil.

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.

The South America City Gas Distribution Market size was valued at USD 143.4 Billion in 2024 and is projected to reach USD 203.9 Billion by 2032, growing at a CAGR of 4.5% from 2026 to 2032.

The South America City Gas Distribution Market is driven by rising urbanization and increasing demand for cleaner energy alternatives to traditional fossil fuels. Governments across the region are promoting natural gas as a cost-effective and environmentally friendly solution for residential, commercial, and industrial applications, encouraging infrastructure expansion. Investments in pipeline networks, smart metering technologies, and public-private partnerships are further accelerating market growth. Additionally, energy transition policies, coupled with efforts to reduce dependency on imported fuels, are boosting the adoption of city gas distribution systems. The growing focus on energy security and sustainable urban development also plays a crucial role in market expansion.

The South American Internet of Things (IoT) Marketsize was valued at USD 544.38 USD Billion in 2023 and is projected to reach USD 2495.74 USD Billion by 2032, exhibiting a CAGR of 24.3 % during the forecast period. The Internet of Things (IoT) is a digital connection of objects, devices, people, animals, and other entities through the use of the Internet. This varies from the basic simple electrical appliances in our homes to the most complex tools required in technologies and industries. The Main IoT forms are consumer IoT (smart homes and wearables), industrial IoT (industrial assets like machinery, and smart factories), and infrastructural IoT (smart cities and energy networks). The main concepts are dynamic views, ML capabilities, and the possibility to access it from a distance. Use ranges from; health care, agriculture, industries, and cities. The description of IoT indicators and their markets in South America shows the further development of this technology, necessitated by advanced smart city projects and agriculture, as well as the growth of its usage in manufacturing firms. Key drivers for this market are: Rising Adoption of Innovative Technologies to Make Smart Evacuation Procedures Smooth to Boost Market Growth. Potential restraints include: Poor Telecommunication Infrastructure and Heavy Regulations to Hamper the Market Progress. Notable trends are: Growing Implementation of Touch-based and Voice-based Infotainment Systems to Increase Adoption of Intelligent Cars.

About this dataset

Context

This list ranks the 269 cities in the South Carolina by Non-Hispanic Some Other Race (SOR) 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 Non-Hispanic Other Race Population: This column displays the rank of cities in the South Carolina by their Non-Hispanic Some Other Race (SOR) population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Non-Hispanic Other Race Population: The Non-Hispanic Other Race population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as Non-Hispanic Other Race. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total South Carolina Non-Hispanic Other Race Population: This tells us how much of the entire South Carolina Non-Hispanic Other Race 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/.

Santiago, Chile's capital and largest city, was considered the smartest city in Latin America in 2019. That year, the city achieved an overall score of 59.45 points. Buenos Aires, the capital city of Argentina, ranked second, with 54.71 score points. Meanwhile, the Dominican Republic's Santo Domingo was the highest ranking Caribbean city, with a 40.39 score.

About this dataset

Context

This list ranks the 307 cities in the South Dakota by Non-Hispanic Some Other Race (SOR) 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 Non-Hispanic Other Race Population: This column displays the rank of cities in the South Dakota by their Non-Hispanic Some Other Race (SOR) population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Non-Hispanic Other Race Population: The Non-Hispanic Other Race population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as Non-Hispanic Other Race. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total South Dakota Non-Hispanic Other Race Population: This tells us how much of the entire South Dakota Non-Hispanic Other Race 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/.

Latin America Digital Signage Market size was valued at USD 1.57 Billion in 2023 and is projected to reach USD 1.91 Billion by 2031, growing at a CAGR of 2.48% from 2024 to 2031.

Key Market Drivers:

Urbanization and Smart City Initiatives: According to the Inter-American Development Bank (IDB), Latin America’s growing urbanization and government funding for smart city projects are driving the expansion of digital signage. Cities such as Mexico City and São Paulo are investing significantly on digital infrastructure.

Growth in Digital Advertising: According to Statista, the digital advertising business in Latin America developed at a 14% annual rate between 2020 and 2023, driving demand for digital signage. Brazil, in particular, is leading the way, with digital signage projected to rise by more than 15% each year through 2030.

South America Membrane Water Treatment Chemicals Market size was valued at USD 2.9 Billion in 2024 and is projected to reach USD 5.1 Billion by 2032, growing at a CAGR of 7.4% from 2025 to 2032.

Key Market Drivers:

Growing Urban Population and Water Infrastructure Development: The South America membrane water treatment chemicals market will be driven by an increasing urban population and the development of water infrastructure. With 81% of South America’s population living in cities in 2020 and projected to rise to 86% by 2050 (UN), there is a growing demand for effective water treatment.

Rising Public Health Concerns and Water Quality Standards: Rising public health concerns and severe water quality requirements will propel the South American Membrane Water Treatment Chemicals Market. With 34 million people in South America without access to safe drinking water, and waterborne diseases affecting 25% of the population each year, there is a renewed emphasis on improving water quality.

Mexico and Latin America Moving Services Market size was valued at USD 4.0251 Billion in 2024 and is projected to reach USD 4.795 Billion by 2031, growing at a CAGR of 2.44% from 2024 to 2031

Mexico and Latin America Moving Services Market Drivers

Urbanization and Housing Demand: Mexico is experiencing rapid urbanization, with a significant portion of the population moving to urban centers in search of better employment opportunities and living conditions. This trend is driving the demand for moving services as people relocate to cities, requiring professional assistance for residential moves.

Rising Middle-Class Population: The expanding middle class in Mexico, with increasing disposable income, is boosting the demand for professional moving services. As more people can afford to purchase homes or upgrade their living spaces, the need for reliable and efficient moving services is growing.

Economic Growth and Infrastructure Development: Several countries in Latin America are experiencing economic growth and infrastructure development, leading to increased real estate activity. As new housing and commercial projects are completed, the demand for moving services rises, particularly in growing urban areas.

Internal Migration and Urbanization: Like Mexico, many Latin American countries are witnessing significant internal migration, with people moving from rural areas to urban centers. This migration fuels the need for moving services as individuals and families relocate to cities in search of better opportunities.

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 feature layer provides access to OpenStreetMap (OSM) educational establishment point data for South America, which is updated every 15 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 amenity features defined as a query against the hosted feature layer where the amenity value is any of 'school', 'university', 'college', or 'kindergarten'.In OSM, amenities are useful and important facilities for visitors and residents, such as schools and universities. These features are identified with an amenity tag. In OSM, amenity=school is used to identify a place where pupils, normally between the ages of about 6 and 18 are taught under the supervision of teachers. This includes primary and secondary schools. See amenity=college, amenity=university, and amenity=kindergarten for other educational establishments.Zoom in to large scales (e.g. Cities level or 1:160k scale) to see the educational features display. You can click on a feature to get the name and any other available attributes of the 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.

Disaggregation of the seismic hazard for peak ground acceleration having a 2 percent probability of exceedance in 50 years is given for several major cities in South America. These disaggregation plots and reports show the relative contribution of individual sources to the seismic hazard (aggregated by magnitude and distance).