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.

In 2025, 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 2.3 trillion U.S. dollars, whereas Mexico's amounted to almost 1.8 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.

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

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

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 2024 based on 19 countries was 19884 U.S. dollars. The highest value was in Puerto Rico: 44125 U.S. dollars and the lowest value was in Haiti: 2801 U.S. dollars. The indicator is available from 1990 to 2024. Below is a chart for all countries where data are available.

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, Colombia ranked first by percentage of income held by the richest 20 percent of the population among the 22 countries presented in the ranking. Colombia's percentage of income held amounted to 58.70 percent, while Brazil and Panama, the second and third countries, had records amounting to 56.60 percent and 53.50 percent, respectively.

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.

Amongst the selected Latin American countries, Chile was the nation where billionaires' wealth equated to the largest share of the national GDP in 2021, reaching 16.1 percent. It was closely followed by Brazil, where the wealth of the super-rich represented 14.2 percent of the country's economic output. The average wealth of billionaires' in Brazil amounted to 2.42 billion U.S. dollars.

Cleaned dataset from the Billionaires Statistic Dataset (2023) that can be found here.

The code I used to clean and re-structure the data is also here.

First things first: a big shout-out to Nidula Elgiriyewithana for providing the original data.

As with it, this dataset contains various information about the world's wealthiest persons in different columns that can be grouped into three different types:

• Business-related information. These columns contain data about the industry in which the billionaires' operate, their source of wealth, total wealth and position they occupy in the ranking.
• Personal information. Such as name, age, nationality, country and city of residence.
• Economic activity information. These columns are related to the country in which the billionaire resides and provide different economic indicators like GDP, education enrollment or Consumer Price Index (CPI).

Column names

• position. Ranking of the billionaire measured by their wealth.
• wealth. The wealth of the billionaire measured in $.
• industry. Industry in which the billionaire's operates their businesses.
• full_name. Complete name of the billionaire.
• age. The age of the billionaire.
• country_of_residence. Country in which the billionaire resides.
• city_of_residence. City in which the billionaire resides.
• source. The source of the billionaire's wealth.
• citizenship. The country of citizenship of the billionaire.
• gender. The gender of the billionaire.
• birth_date. The birth date of the billionaire.
• last_name. The last name of the billionaire.
• first_name. The first name of the billionaire.
• residence_state. State in which the billionaire resides (only for billionaires who reside in the U.S.).
• residence_region. Region in which the billionaire resides (only for billionaires who reside in the U.S.).
• birth_year. The birth year of the billionaire.
• birth_month. The birth month of the billionaire.
• birth_day. The birth data of the billionaire.
• cpi_country. Consumer Price Index (CPI) for the billionaire's country.
• cpi_change_country. CPI change for the billionaire's country.
• gdp_country. Gross Domestic Product (GDP) in $ for the billionaire's country.
• g_tertiary_ed_enroll. Enrollment in tertiary education in the billionaire's country.
• g_primary_ed_enroll. Enrollment in primary education in the billionaire's country.
• life_expectancy. Life expectancy in the billionaire's country.
• tax_revenue. Tax revenue in the billionaire's country.
• tax_rate. Total tax rate in the billionaire's country.
• country_pop. Population of the billionaire's country.
• country_lat. Latitude coordinate of the billionaire's country.
• country_long. Longitude coordinate of the billionaire's country.
• continent. Continent in which the country of the billionaire's residence is located.

Potential analyses

• Analyze which industries contain the biggest groups of billionaires overall and in different countries.
• Explore number of billionaires and total wealth across countries and continents and display the result in a map.
• Focus on personal information columns such as age or gender to explore the distribution of billionaires from this perspective.
• Discover if countries' economic indicators have any impact in the presence of billionaires.
• The U.S. is the country with most billionaires presented in the dataset and also the only one with attributes in the residence_state and residence_region columns. This makes the American billionaires a good focus for a specific analysis.

Bonus

If you want a challenge, you can create a dashboard using tools such as Plotly to dynamically visualize the data using one or different attributes (such as industry, age or country). I did it, leave the link below in case you want to investigate:

Dashboard notebook here

If you find this dataset informative or inspirational, a vote is appreciated for others to easily discover value in it 💎💰

The average for 2024 based on 11 countries was 15067.24 U.S. dollars. The highest value was in Singapore: 90674.07 U.S. dollars and the lowest value was in Burma (Myanmar): 1359.26 U.S. dollars. The indicator is available from 1960 to 2024. 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.

Amongst the selected Latin American countries, Mexico registered the largest average wealth of billionaires, at 8.97 billion U.S dollars in 2020. By contrast, the rest of the adult population had an average wealth of 41,530 dollars. This represented a wealth ratio of billionaires/general population of 216,079:1. Nevertheless, it was Argentina the nation with the largest inequality in the distribution of wealth. Billionaires' wealth in this South American country was equal to 3.7 percent of the national GDP.

Access South America Land Top Drive Industry Overview which includes South America country analysis of (Brazil, Argentina, Colombia, Peru, Chile, Rest of South America), market split by Type, Application

Protein consumption in South America is set for a strong upward trajectory, driven by growing health awareness and active lifestyles. Brazil led the region with a market size of USD 818.63 million in 2024, growing to USD 1,498.98 million by 2032. Argentina follows, valued at USD 316.46 million and reaching USD 633.59 million in the same period. Growing demand for convenient health beverages and protein-rich products supports this growth across the South America Protein Drinks Market. Consumers increasingly prefer ready-to-drink formulations, fueling market growth across urban and semi-urban regions. By 2032, Brazil alone expected to capture the largest share, supported by a robust distribution network and diversified product offerings.

The particularities of agriculture, as a sector which ensures food supply, result from many factors, including the multilateral interaction between the environment and human activity. The extent of human intervention in the food production process is usually measured with the amount of capital expenditure. Therefore, the food production potential and the resulting food security depend on both natural and economic factors. This paper identifies the current status of food security in different countries around the world, considering both aspects (physical and economic availability) combined together. The variables published by FAO were used together with a variable estimated based on the author’s own methodology to identify 8 groups of countries characterized by economic development level, net trade in agricultural products, and selected variables related to agriculture and food situation. As shown by this study, the degree to which food security is ensured with domestic supply varies strongly across the globe. Domestic production provides a foundation for food security in wealthy countries, usually located in areas with favorable conditions for agriculture (including North America, Australia, New Zealand, Kazakhstan) and in countries which, though characterized by a relatively small area of arable land per capita, demonstrate high production intensity (mainly European countries). International trade largely contributes to food security in Middle East and North African countries as well as in selected South American countries which are net importers of food products. The most problematic food situation continues to affect Sub-Saharan Africa and Central Asia.

Biodiversity plays a crucial role in ecosystem functioning by providing essential benefits to people and improving their well-being, i.e., regulating material and non-material services; especially in cultural and natural rich landscapes, such as those found in Latin-American countries. Nevertheless, in spite of the utmost importance of sustaining human life, biodiversity is not only declining at unprecedented rates, but also this pervasive degradation has revealed both our mutual dependence and interconnectedness, with a profound need for a societal transformative change. To help meet this challenge, the aim of this work is to synthesise pertinent and state-of-the-art knowledge on biodiversity education by utilising a holistic approach and a Latin-American point of view, which will contribute towards understanding and targeting complex socio-ecological issues. The findings have unveiled an abundant number of studies in Latin American countries that have investigated the topic of teachers’ and students’ knowledge and their conceptions of biodiversity from both conventional scientific knowledge and interculturality. By promoting an integrative dialogue among these categories and their subcategories, several implications arose concerning scientists engaged in public outreach, environmental and sustainable development and science education researchers, those engaged in cultural studies, formal and non-formal education, and school teachers.

TThe ERS International Macroeconomic Data Set provides historical and projected data for 181 countries that account for more than 99 percent of the world economy. These data and projections are assembled explicitly to serve as underlying assumptions for the annual USDA agricultural supply and demand projections, which provide a 10-year outlook on U.S. and global agriculture. The macroeconomic projections describe the long-term, 10-year scenario that is used as a benchmark for analyzing the impacts of alternative scenarios and macroeconomic shocks.

Explore the International Macroeconomic Data Set 2015 for annual growth rates, consumer price indices, real GDP per capita, exchange rates, and more. Get detailed projections and forecasts for countries worldwide.

Annual growth rates, Consumer price indices (CPI), Real GDP per capita, Real exchange rates, Population, GDP deflator, Real gross domestic product (GDP), Real GDP shares, GDP, projections, Forecast, Real Estate, Per capita, Deflator, share, Exchange Rates, CPI

Afghanistan, Albania, Algeria, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bhutan, Bolivia, Bosnia and Herzegovina, Botswana, Brazil, Brunei, Bulgaria, Burkina Faso, Burundi, Côte d'Ivoire, Cabo Verde, Cambodia, Cameroon, Canada, Central African Republic, Chad, Chile, China, Colombia, Congo, Costa Rica, Croatia, Cuba, Cyprus, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Grenada, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kuwait, Kyrgyzstan, Laos, Latvia, Lebanon, Lesotho, Liberia, Libya, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Mauritania, Mauritius, Mexico, Moldova, Mongolia, Morocco, Mozambique, Myanmar, Namibia, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, Norway, Oman, Pakistan, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Rwanda, Samoa, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, South Africa, Spain, Sri Lanka, Sudan, Suriname, Sweden, Switzerland, Syria, Tajikistan, Tanzania, Thailand, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkey, Turkmenistan, Uganda, Ukraine, United Arab Emirates, United Kingdom, Uruguay, Uzbekistan, Vanuatu, Venezuela, Vietnam, Yemen, Zambia, Zimbabwe, WORLD Follow data.kapsarc.org for timely data to advance energy economics research. Notes:

Developed countries/1 Australia, New Zealand, Japan, Other Western Europe, European Union 27, North America

Developed countries less USA/2 Australia, New Zealand, Japan, Other Western Europe, European Union 27, Canada

Developing countries/3 Africa, Middle East, Other Oceania, Asia less Japan, Latin America;

Low-income developing countries/4 Haiti, Afghanistan, Nepal, Benin, Burkina Faso, Burundi, Central African Republic, Chad, Democratic Republic of Congo, Eritrea, Ethiopia, Gambia, Guinea, Guinea-Bissau, Liberia, Madagascar, Malawi, Mali, Mozambique, Niger, Rwanda, Senegal, Sierra Leone, Somalia, Tanzania, Togo, Uganda, Zimbabwe;

Emerging markets/5 Mexico, Brazil, Chile, Czech Republic, Hungary, Poland, Slovakia, Russia, China, India, Korea, Taiwan, Indonesia, Malaysia, Philippines, Thailand, Vietnam, Singapore

BRIICs/5 Brazil, Russia, India, Indonesia, China; Former Centrally Planned Economies

Former centrally planned economies/7 Cyprus, Malta, Recently acceded countries, Other Central Europe, Former Soviet Union

USMCA/8 Canada, Mexico, United States

Europe and Central Asia/9 Europe, Former Soviet Union

Middle East and North Africa/10 Middle East and North Africa

Other Southeast Asia outlook/11 Malaysia, Philippines, Thailand, Vietnam

Other South America outlook/12 Chile, Colombia, Peru, Bolivia, Paraguay, Uruguay

Indicator Source

Real gross domestic product (GDP) World Bank World Development Indicators, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service all converted to a 2015 base year.

Real GDP per capita U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, GDP table and Population table.

GDP deflator World Bank World Development Indicators, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service, all converted to a 2015 base year.

Real GDP shares U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, GDP table.

Real exchange rates U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, CPI table, and Nominal XR and Trade Weights tables developed by the Economic Research Service.

Consumer price indices (CPI) International Financial Statistics International Monetary Fund, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service, all converted to a 2015 base year.

Population Department of Commerce, Bureau of the Census, U.S. Department of Agriculture, Economic Research Service, International Data Base.

South America Hair Loss Treatment Products Market size was valued at USD 1.6 Billion in 2023 and is projected to reach USD 2.8 Billion by 2031, growing at a CAGR of 7.3% from 2024 to 2031.

Key Market Drivers:

Increasing Prevalence of Hair Loss in the Region: According to the Pan American Health Organization (PAHO), over 40-50% of men in South American countries develop hair loss by the age of 50. According to surveys, approximately 35% of males under the age of 35 in Brazil, the region’s largest market, are experiencing substantial hair loss.

Growing Health and Wellness Awareness: According to the Inter-American Development Bank (IDB), South American countries’ health and wellness spending has increasing by 25% in the last five years. The Brazilian Health Regulatory Agency (ANVISA) reports a considerable increase in dermatological consultations for hair loss, with a 40% increase in treatment requests between 2018 and 2022.