In 2023, Puerto Rico and The Bahamas were the states with the highest gross domestic product (GDP) per capita in Latin America and the Caribbean. The average GDP generated per person in the Bahamas amounted to 34,749 U.S. dollars, whereas the average wealth created per capita in Puerto Rico was estimated at around 34,749 U.S. dollars. In that same year, this region's lowest GDP per capita was that of Haiti, at less than 1,693 U.S. dollars per person per year. The largest economies in Latin America GDP is the total value of all goods and services produced in a country in a year. It is an important indicator to measure the economic strength of a country and the average wealth of its population. By far, the two largest economies in the region are Brazil and Mexico, both registering GDPs three times bigger than the third place, Argentina. Nonetheless, they are the two most populated countries by a great margin.
Key economic indicators of Latin America Latin America emerges as an important region in the world economy, as of 2023, around 7.3 percent of the global GDP, a similar share to the Middle East. Nevertheless, the economic development of most of its countries has been heavily affected by other factors, such as corruption, inequality, inflation, or crime and violence. Countries such as Venezuela, Suriname, and Argentina are constantly ranking among the highest inflation rates in the world. While Jamaica, Ecuador, and Haiti rank as some of the most crime-ridden states.

The average for 2023 based on 19 countries was 9351.03 U.S. dollars. The highest value was in Puerto Rico: 30122.84 U.S. dollars and the lowest value was in Haiti: 1210.03 U.S. dollars. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

In 2023, four Caribbean nations were the countries with the highest gross national income per capita in Latin America and the Caribbean. On average, the national gross income amounted to around 31,990 U.S. dollars per person in the Bahamas, an island country which also had one of the highest gross domestic product per capita in this region. Outside the Caribbean Excluding the Caribbean, the economies with the highest national income per capita are generally located in South America, with the exceptions of Panama, Costa Rica and Mexico. Guyana leads among continental states with a national income of around 20.360 U.S. dollars per person. Gross national income (GNI) is the aggregated sum of the value added by residents in an economy, plus net taxes (minus subsidies) and net receipts of primary income from abroad. The biggest economies Brazil and Mexico are still miles ahead in the race for the biggest economy of Latin America. As of 2023, both nations exceeded the two trillion U.S. dollars mark in their Gross Domestic Product (GDP). While Argentina's GDP, third place, slightly surpassed the 600 billion U.S. dollars. Nonetheless, both nations also ranked as the most populated by far in the region.

This dataset provides values for GDP PER CAPITA PPP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

In 2024, Brazil and Mexico were expected to be the countries with the largest gross domestic product (GDP) in Latin America and the Caribbean. In that year, Brazil's GDP could reach an estimated value of 2.4 trillion U.S. dollars, whereas Mexico's amounted to almost two trillion U.S. dollars. GDP is the total value of all goods and services produced in a country in a given year. It measures the economic strength of a country and a positive change indicates economic growth.

Guyana was the South American country 20360the highest gross national income per capita, with 20,360 U.S. dollars per person in 2023. Uruguay ranked second, registering a GNI of 19,530 U.S. dollars per person, based on current prices. Gross national income (GNI) is the aggregated sum of the value added by residents in an economy, plus net taxes (minus subsidies) and net receipts of primary income from abroad. Which are the largest Latin American economies? Based on annual gross domestic product, which is the total amount of goods and services produced in a country per year, Brazil leads the regional ranking, followed by Mexico, Argentina, and Chile. Many Caribbean countries and territories hold the highest GDP per capita in this region, measurement that reflects how GDP would be divided if it was perfectly equally distributed among the population. GNI per capita is, however, a more exact calculation of wealth than GDP per capita, as it takes into consideration taxes paid and income receipts from abroad. How much inequality is there in Latin America? In many Latin American countries, more than half the total wealth created in their economies is held by the richest 20 percent of the population. When a small share of the population concentrates most of the wealth, millions of people don't have enough to make ends meet. For instance, in Brazil, about 5.32 percent of the population lives on less than 3.2 U.S. dollars per day.

The average for 2023 based on 11 countries was 10329.52 U.S. dollars. The highest value was in Guyana: 23325.12 U.S. dollars and the lowest value was in Bolivia: 3168.73 U.S. dollars. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

As of 2023, Uruguay was the country in South America with the largest Gross Domestic Product per capita, with 21,377.63 US dollars. Guyana landed in second place, with 20,264.64 US dollars per capita. When it comes to the total GDP in South America, Brazil led the region this year with more than 2 trillion U.S. dollars.

Graph and download economic data for Constant GDP per capita for Developing Countries in Latin America and Caribbean (NYGDPPCAPKDLAC) from 1960 to 2023 about Caribbean Economies, Latin America, per capita, and GDP.

In 2025, Luxembourg was the country with the highest gross domestic product per capita in the world. Of the 20 listed countries, 13 are in Europe and five are in Asia, alongside the U.S. and Australia. There are no African or Latin American countries among the top 20. Correlation with high living standards While GDP is a useful indicator for measuring the size or strength of an economy, GDP per capita is much more reflective of living standards. For example, when compared to life expectancy or indices such as the Human Development Index or the World Happiness Report, there is a strong overlap - 14 of the 20 countries on this list are also ranked among the 20 happiest countries in 2024, and all 20 have "very high" HDIs. Misleading metrics? GDP per capita figures, however, can be misleading, and to paint a fuller picture of a country's living standards then one must look at multiple metrics. GDP per capita figures can be skewed by inequalities in wealth distribution, and in countries such as those in the Middle East, a relatively large share of the population lives in poverty while a smaller number live affluent lifestyles.

Graph and download economic data for Gross Domestic Product Per Capita for Developing Countries in Latin America and Caribbean (NYGDPPCAPCDLAC) from 1960 to 2023 about Caribbean Economies, Latin America, per capita, and GDP.

Constant GDP per capita for Developing Countries in Latin America and Caribbean was 8562.81505 2010 U.S. $ in January of 2023, according to the United States Federal Reserve. Historically, Constant GDP per capita for Developing Countries in Latin America and Caribbean reached a record high of 8562.81505 in January of 2023 and a record low of 3146.02676 in January of 1960. Trading Economics provides the current actual value, an historical data chart and related indicators for Constant GDP per capita for Developing Countries in Latin America and Caribbean - last updated from the United States Federal Reserve on July of 2025.

Chile is amongst the Latin American nations where climate change will have the most severe impact on the country's GDP. Under a Paris Agreement warming scenario – which means limitting the temperature rise to less than 1.5ºC above pre-industrial levels – Chile would suffer about eight percent loss of its GDP per capita, whereas under an extreme warming scenario this figure would go up to 27 percent. Meanwhile, the impact of climate change in Venezuela's GDP would result in a loss ranging between 2.7 and 16.2 percent, depending on the warming scenario.

The average for 2022 based on 19 countries was 22.22 percent. The highest value was in Panama: 41.23 percent and the lowest value was in Puerto Rico: 14.01 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

Venezuela was the most indebted country in Latin America and the Caribbean based on total government debt as a percentage of gross domestic product (GDP). The lowest general government debt to GDP ratio in the region was found in Haiti, where the total public debt accounted for only **** percent of the country's GDP as of 2024.

In 1820, Western Europe was the region with the highest GDP per capita, however the non-European developed countries of the United States, Canada, Australia, and New Zealand saw their average GDP per capita grow much higher by the outbreak of the First World War. These developed nations and Europe were the only regions where GDP per capita was higher than the global average, while all other regions were below (although Latin America did have an above average GDP in 1820).

The average for 2023 based on 11 countries was 11998.61 U.S. dollars. The highest value was in Singapore: 65422.46 U.S. dollars and the lowest value was in Burma (Myanmar): 1168.69 U.S. dollars. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

The Latin American home mortgage finance market exhibits steady growth, projected to reach a market size of $XX million in 2025, with a Compound Annual Growth Rate (CAGR) of 3.00% from 2025 to 2033. This growth is fueled by several key factors. Increasing urbanization and a burgeoning middle class are driving demand for homeownership across the region. Government initiatives aimed at improving access to affordable housing, such as subsidized mortgages and reduced interest rates, further stimulate market expansion. Additionally, the development of more sophisticated financial products and improved lending practices by major players like Caixa Economica Federal, Banco do Brasil, Itaú, Bradesco, and Santander, contribute to market expansion. However, economic instability in certain Latin American countries, fluctuating interest rates, and regulatory hurdles remain significant challenges that could potentially hinder growth. The competitive landscape is dominated by established national and international banks, each vying for market share through competitive interest rates, diverse mortgage products, and enhanced digital services. Despite the presence of these major players, opportunities exist for smaller lenders and fintech companies to leverage technological advancements and target niche markets within the region. The market segmentation is diverse, reflecting varying housing costs and income levels across the countries within Latin America. Growth will likely be uneven across the region, with more stable economies experiencing higher growth rates than those facing political or economic uncertainty. Future growth will depend on macroeconomic stability, continued government support for homeownership, and the ability of financial institutions to adapt to the evolving needs of borrowers. Notable trends are: Increase in Economic Growth and GDP per capita.

Objective: To analyze the relationship between economic conditions and mortality in cities of Latin America.Methods: We analyzed data from 340 urban areas in ten countries: Argentina, Brazil, Chile, Colombia, Costa Rica, Guatemala, Mexico, Panama, Peru, and El Salvador. We used panel models adjusted for space‐invariant and time‐invariant factors to examine whether changes in area gross domestic product (GDP) per capita were associated with changes in mortality.Results: We find procyclical oscillations in mortality (i.e., higher mortality with higher GDP per capita) for total mortality, female population, populations of 0–9 and 45+ years, mortality due to cardiovascular diseases, malignant neoplasms, diabetes mellitus, respiratory infections and road traffic injuries. Homicides appear countercyclical, with higher levels at lower GDP per capita.Conclusions: Our results reveal large heterogeneity, but in our sample of cities, for specific population groups and causes of death, mortality oscillates procyclically, increasing when GDP per capita increases. In contrast we find few instances of countercyclical mortality.

Analysis of ‘Life Expectancy vs GDP, 1950-2018’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/luxoloshilofunde/life-expectancy-vs-gdp-19502018 on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Context

Life expectancy at birth is defined as the average number of years that a newborn could expect to live if he or she were to pass through life subject to the age-specific mortality rates of a given period. The years are from 1950 to 2018.

Content

For regional- and global-level data pre-1950, data from a study by Riley was used, which draws from over 700 sources to estimate life expectancy at birth from 1800 to 2001.

Riley estimated life expectancy before 1800, which he calls "the pre-health transition period". "Health transitions began in different countries in different periods, as early as the 1770s in Denmark and as late as the 1970s in some countries of sub-Saharan Africa". As such, for the sake of consistency, we have assigned the period before the health transition to the year 1770. "The life expectancy values employed are averages of estimates for the period before the beginning of the transitions for countries within that region. ... This period has presumably the weakest basis, the largest margin of error, and the simplest method of deriving an estimate."

For country-level data pre-1950, Clio Infra's dataset was used, compiled by Zijdeman and Ribeira da Silva (2015).

For country-, regional- and global-level data post-1950, data published by the United Nations Population Division was used, since they are updated every year. This is possible because Riley writes that "for 1950-2001, I have drawn life expectancy estimates chiefly from various sources provided by the United Nations, the World Bank’s World Development Indicators, and the Human Mortality Database".

For the Americas from 1950-2015, the population-weighted average of Northern America and Latin America and the Caribbean was taken, using UN Population Division estimates of population size.

Acknowledgements

Life expectancy:

Data publisher's source: https://www.lifetable.de/RileyBib.pdf Data published by: James C. Riley (2005) – Estimates of Regional and Global Life Expectancy, 1800–2001. Issue Population and Development Review. Population and Development Review. Volume 31, Issue 3, pages 537–543, September 2005., Zijdeman, Richard; Ribeira da Silva, Filipa, 2015, "Life Expectancy at Birth (Total)", http://hdl.handle.net/10622/LKYT53, IISH Dataverse, V1, and UN Population Division (2019) Link: https://datasets.socialhistory.org/dataset.xhtml?persistentId=hdl:10622/LKYT53, http://onlinelibrary.wiley.com/doi/10.1111/j.1728-4457.2005.00083.x/epdf, https://population.un.org/wpp/Download/Standard/Population/ Dataset: https://ourworldindata.org/life-expectancy

GDP per capita:

Data publisher's source: The Maddison Project Database is based on the work of many researchers that have produced estimates of economic growth for individual countries. Data published by: Bolt, Jutta and Jan Luiten van Zanden (2020), “Maddison style estimates of the evolution of the world economy. A new 2020 update”. Link: https://www.rug.nl/ggdc/historicaldevelopment/maddison/releases/maddison-project-database-2020 Dataset: https://ourworldindata.org/life-expectancy

Inspiration

The life expectancy vs GDP per capita analysis.

--- Original source retains full ownership of the source dataset ---