19 of the 20 countries with the lowest estimated GDP per capita in the world in 2024 are located in Sub-Saharan Africa. South Sudan is believed to have a GDP per capita of just 351.02 U.S. dollars - for reference, Luxembourg has the highest GDP per capita in the world, at almost 130,000 U.S. dollars, which is around 400 times larger than that of Burundi (U.S. GDP per capita is over 250 times higher than Burundi's). Poverty in Sub-Saharan Africa Many parts of Sub-Saharan Africa have been among the most impoverished in the world for over a century, due to lacking nutritional and sanitation infrastructures, persistent conflict, and political instability. These issues are also being exacerbated by climate change, where African nations are some of the most vulnerable in the world, as well as the population boom that will place over the 21st century. Of course, the entire population of Sub-Saharan Africa does not live in poverty, and countries in the southern part of the continent, as well as oil-producing states around the Gulf of Guinea, do have some pockets of significant wealth (especially in urban areas). However, while GDP per capita may be higher in these countries, wealth distribution is often very skewed, and GDP per capita figures are not representative of average living standards across the population. Outside of Africa Yemen is the only country outside of Africa to feature on the list, due to decades of civil war and instability. Yemen lags very far behind some of its neighboring Arab states, some of whom rank among the richest in the world due to their much larger energy sectors. Additionally, the IMF does not make estimates for Afghanistan, which would also likely feature on this list.

The average for 2024 based on 177 countries was 27291 U.S. dollars. The highest value was in Singapore: 132570 U.S. dollars and the lowest value was in Burundi: 836 U.S. dollars. The indicator is available from 1990 to 2024. Below is a chart for all countries where data are available.

The average for 2024 based on 30 countries was 51662 U.S. dollars. The highest value was in Luxembourg: 128182 U.S. dollars and the lowest value was in Albania: 18920 U.S. dollars. The indicator is available from 1990 to 2024. Below is a chart for all countries where data are available.

Graph and download economic data for Gross Domestic Product Per Capita for Heavily Indebted Poor Countries (NYGDPPCAPCDHPC) from 1960 to 2024 about per capita and GDP.

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

Gross domestic product (GDP) per capita is a measure of economic production, which takes the entire output of a national economy during a year and divides it by the population of that country. In the European Union, Luxembourg, Ireland, Denmark, the Netherlands, and Austria come out on top as the countries which produced the most per capita in 2024. Europe's richest countries benefit from multinational companies Many criticisms have been made of using GDP per capita as away to judge a country's economic wealth in recent years, as global capital flows have come to distort the statistics and to give a warped impression of different countries' wealth. This is most notably the case for Ireland and for Luxembourg, which while certainly high-income countries, have experienced dramatic booms in their GDP over the past two decades due to the accounting practices of the large multinational corporations which have their European headquarters in these member states, such as Facebook and Apple in Dublin, and Amazon in Luxembourg. Will the poorest countries converge towards the EU average? At the bottom of the list, two of the most recent member states of the EU, Romania and Bulgaria, come last in terms of GDP per capita. Whether these countries will be able to capitalize on their relatively low-wages to spur economic growth and experience the convergence towards the older member states of the union shown by countries such as Estonia, Czechia, and Lithuania, remains a pressing issue for these poorer member states.

Out of all 50 states, New York had the highest per-capita real gross domestic product (GDP) in 2024, at 92,341 U.S. dollars, followed closely by Massachusetts. Mississippi had the lowest per-capita real GDP, at 41,603 U.S. dollars. While not a state, the District of Columbia had a per capita GDP of more than 210,780 U.S. dollars. What is real GDP? A country’s real GDP is a measure that shows the value of the goods and services produced by an economy and is adjusted for inflation. The real GDP of a country helps economists to see the health of a country’s economy and its standard of living. Downturns in GDP growth can indicate financial difficulties, such as the financial crisis of 2008 and 2009, when the U.S. GDP decreased by 2.5 percent. The COVID-19 pandemic had a significant impact on U.S. GDP, shrinking the economy 2.8 percent. The U.S. economy rebounded in 2021, however, growing by nearly six percent. Why real GDP per capita matters Real GDP per capita takes the GDP of a country, state, or metropolitan area and divides it by the number of people in that area. Some argue that per-capita GDP is more important than the GDP of a country, as it is a good indicator of whether or not the country’s population is getting wealthier, thus increasing the standard of living in that area. The best measure of standard of living when comparing across countries is thought to be GDP per capita at purchasing power parity (PPP) which uses the prices of specific goods to compare the absolute purchasing power of a countries currency.

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

For most of the 20th century, Ireland stood out as one of the poorest countries in Western Europe, not experience the same post-war boom in prosperity that was felt by virtually all other countries in the region. At the onset of the 1973-1975 Recession, Ireland's GDP per capita was less than 60 percent of GDP per capita in the European Union and less than a quarter of GDP per capita in the U.S. Catching up in the 1980s By the 1980s, a wave of foreign investment saw Ireland's export sector grow exponentially, and between 1975 and 1990, Ireland had the second-fastest growth of exports in the world (behind Japan). Additionally, as Ireland joined the European Communities in 1973, it became more integrated into the European economy; before 1973, around three-quarters of Ireland's exports went to the United Kingdom, but this fell to one-third by the 1990s. Ireland's period of industrialization was relatively short in comparison to its neighbors, as it transitioned from an agriculture-based economy to a producer of high-tech products and services. Ireland's low tax rate and other incentives also attracted many American tech companies in the 1980s, such as Apple, Intel, and Microsoft, who were keen on establishing a presence in the European Union. The Celtic Tiger Named after the Four Asian Tigers (Hong Kong, Singapore, South Korea, and Taiwan), which experienced rapid economic growth in the 1970s and 1980s, the period of prosperity between the 1990s and 2000s in Ireland has been dubbed the "Celtic Tiger." Over this time, Ireland's GDP per capita grew to exceed the average in the EU by 10 percent in 2000, and it would eventually surpass that of the U.S. in 2003. Ireland was severely impacted by the financial crisis of 2008 due to the instability of its property sector and extensive lending by banks, and it was the first European economy to go into recession. By the late 2010s, most sectors of the economy had returned to pre-recession levels, and today, Ireland's GDP per capita remains among the top in the world, second in the EU only to Luxembourg.

The GDP per capita overall increased in all seven G7 countries since 2000 except *****. There, it fluctuated over the period, being only slightly higher in 2024 than in 2000. The ************* had the highest GDP per capita of the countries at over ****** dollars in terms of purchasing-power-parity (PPP). ******* had the second highest GDP per capita.

Seychelles had the largest Gross Domestic Product (GDP) per capita in Africa as of 2024. The value amounted to 21,630 U.S. dollars. Mauritius followed with around 12,330 U.S. dollars, whereas Gabon registered 8,840 U.S. dollars. GDP per capita is calculated by dividing a country’s GDP by its population, meaning that some of the largest economies are not ranked within the leading ten. Impact of COVID-19 on North Africa’s GDP When looking at the GDP growth rate in Africa in 2024, Libya had the largest estimated growth in Northern Africa, a value of 7.8 percent compared to the previous year. Niger and Senegal were at the top of the list with rates of 10.4 percent and 8.3 percent, respectively. During the COVID-19 pandemic, the impact on the economy was severe. The growth of the North African real GDP was estimated at minus 1.1 percent in 2020. However, estimations for 2022 looked much brighter, as it was set that the region would see a GDP growth of six percent, compared to four percent in 2021.
Contribution of Tourism Various countries in Africa are dependent on tourism, contributing to the economy. In 2023, travel and tourism were estimated to contribute 182.6 billion U.S. dollars, a clear increase from 96.5 in 2020 following COVID-19. As of 2024, South Africa, Mauritius, and Egypt led tourism in the continent according to the Travel & Tourism Development Index.

The average for 2024 based on 7 countries was 57316 U.S. dollars. The highest value was in the USA: 75492 U.S. dollars and the lowest value was in Japan: 46097 U.S. dollars. The indicator is available from 1990 to 2024. Below is a chart for all countries where data are available.

Gross Domestic Product (GDP): per Capita: Henan data was reported at 64,888.000 RMB in 2024. This records an increase from the previous number of 60,073.000 RMB for 2023. Gross Domestic Product (GDP): per Capita: Henan data is updated yearly, averaging 695.550 RMB from Dec 1949 (Median) to 2024, with 76 observations. The data reached an all-time high of 64,888.000 RMB in 2024 and a record low of 50.000 RMB in 1949. Gross Domestic Product (GDP): per Capita: Henan data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s National Accounts – Table CN.AA: Gross Domestic Product per Capita.

Zambia is simultaneously amongst the poorest and the most unequal countries in the world. In 2022, 64.3 percent of the population - about 12.6 million individuals - was living on less than US$2.15 a day. This level is not only the 6th highest in the world but it is also misaligned with the country’s Gross Domestic Product (GDP) per capita level. In four of the five poorer countries, GDP per capita is between one-quarter and one-half of Zambia’s GDP per capita. The remaining country is South Sudan, which is immersed in a protracted fragility and conflict situation. At the same time, consumption inequality is high, even when compared with the sub-group of highly unequal resource-rich countries. In 2022, the Gini index stood at 51.5 - significantly above the World Bank’s newly adopted high-inequality threshold of 40. This places Zambia as the country with the 4th highest inequality in the region and the 6th highest globally. Resource-rich countries with similar or higher inequality have substantially lower poverty levels.

In 1950, at the end of the recovery period that followed the Second World War, GDP per capita across the Eastern Bloc varied greatly by country. Czechoslovakia, the most industrialized country in the Bloc after East Germany, had a GDP per capita that was 69 percent of the rate across Western European** countries. In contrast, Romania's GDP per capita was less than a quarter of the Western European average in 1950. 1950-1989 Generally speaking, Eastern European economies grew faster and made gains on those of the west (not including Mediterranean region) in the 1950s and 1960s, however, a series of recessions and increasing debts meant that this gap widened in the 1970s and 1980s. By 1989, as communism in Europe came to an end, the difference between overall GDP per capita in the Eastern and Western Blocs returned to a similar rate as in 1950, although it varied by country. The Soviet Union, Czechoslovakia, and Poland, three of the larger economies of those given, had a lower share of western GDP per capita in 1989 than in 1950, while the smaller economies of the Balkans saw an increase. 1989-2000 Between 1989 and 2000, the European Union's GDP per capita grew faster than in the former Eastern Bloc countries. However, the end of communism did negatively impact EU economies in the early 1990s. Poland was the only Eastern Bloc country to make gains on the west in these years, although this was more to do with its poor economy in the 1980s. The former-Soviet states, in particular, saw GDP per capita drop below one-quarter of the European Union's rate over this decade, as post-Soviet economic recovery did not realistically begin until the late 1990s.

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.

BackgroundIn high-income countries, obesity prevalence (body mass index greater than or equal to 30 kg/m2) is highest among the poor, while overweight (body mass index greater than or equal to 25 kg/m2) is prevalent across all wealth groups. In contrast, in low-income countries, the prevalence of overweight and obesity is higher among wealthier individuals than among poorer individuals. We characterize the transition of overweight and obesity from wealthier to poorer populations as countries develop, and project the burden of overweight and obesity among the poor for 103 countries.Methods and findingsOur sample used 182 Demographic and Health Surveys and World Health Surveys (n = 2.24 million respondents) from 1995 to 2016. We created a standard wealth index using household assets common among all surveys and linked national wealth by country and year identifiers. We then estimated the changing probability of overweight and obesity across every wealth decile as countries’ per capita gross domestic product (GDP) rises using logistic and linear fixed-effect regression models. We found that obesity rates among the wealthiest decile were relatively stable with increasing national wealth, and the changing gradient was largely due to increasing obesity prevalence among poorer populations (3.5% [95% uncertainty interval: 0.0%–8.3%] to 14.3% [9.7%–19.0%]). Overweight prevalence among the richest (45.0% [35.6%–54.4%]) and the poorest (45.5% [35.9%–55.0%]) were roughly equal in high-income settings. At $8,000 GDP per capita, the adjusted probability of being obese was no longer highest in the richest decile, and the same was true of overweight at $10,000. Above $25,000, individuals in the richest decile were less likely than those in the poorest decile to be obese, and the same was true of overweight at $50,000. We then projected overweight and obesity rates by wealth decile to 2040 for all countries to quantify the expected rise in prevalence in the relatively poor. Our projections indicated that, if past trends continued, the number of people who are poor and overweight will increase in our study countries by a median 84.4% (range 3.54%–383.4%), most prominently in low-income countries. The main limitations of this study included the inclusion of cross-sectional, self-reported data, possible reverse causality of overweight and obesity on wealth, and the lack of physical activity and food price data.ConclusionsOur findings indicate that as countries develop economically, overweight prevalence increased substantially among the poorest and stayed mostly unchanged among the wealthiest. The relative poor in upper- and lower-middle income countries may have the greatest burden, indicating important planning and targeting needs for national health programs.

Zambia is simultaneously amongst the poorest and the most unequal countries in the world. In 2022, 64.3 percent of the population - about 12.6 million individuals - was living on less than US$2.15 a day. This level is not only the 6th highest in the world but it is also misaligned with the country’s Gross Domestic Product (GDP) per capita level. In four of the five poorer countries, GDP per capita is between one-quarter and one-half of Zambia’s GDP per capita. The remaining country is South Sudan, which is immersed in a protracted fragility and conflict situation. At the same time, consumption inequality is high, even when compared with the sub-group of highly unequal resource-rich countries. In 2022, the Gini index stood at 51.5 - significantly above the World Bank’s newly adopted high-inequality threshold of 40. This places Zambia as the country with the 4th highest inequality in the region and the 6th highest globally. Resource-rich countries with similar or higher inequality have substantially lower poverty levels.

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.

Data was adopted from different sources including WDI. Alcohol consumption was used as dependent variable and distance from equator, GDP per capita, price index of beverages and religion dummy were serving role of independent variables in this study. The type of the data is observational and cross-sectional. The sample contains 135 observations. Out of them 53 countries are religious and 82 are non-religious (refer to Table 1). Alcohol consumption is playing role of dependent variable in this research. It is measured as average consumption of alcohol of people aged 15 or older in 2018. The data was taken from, Global Health Observatory Data Repository. This variable does not demonstrate consumption of specific alcohol beverage, like vodka or wine. Instead, pure liters of alcohol were taken to consider differences in distinct types of alcohol. The maximum and minimum values of alcohol consumption are 20.5 and 0.36 liters per person respectively. The mean alcohol consumption is 6.81 liters with standard deviation of 4.05. In the sample the most alcoholic country is Seychelles, and the least alcoholic is Egypt. Distance from equator is first independent variable in this study. It measures shortest distance from the equator to the country in kilometers. Since it addresses our research topic, distance from the 4 equator is most important variable in this study. Average distance is equal to 3013 kilometers with standard deviation of 1985. Such large number of standard deviations may happen due to large range of data. The closest country to equator in our sample is Kenya with the distance of 111 kilometers and the farthest country is Iceland with the distance of 7226 kilometers. Each country’s distance was acquired separately using distance.com source. Next independent variable is GDP per capita. It shows a country’s GDP divided by its population. It is measured in US$ and year of data is 2017. The data was acquired from World Bank national accounts data, and OECD data files using WDI. Inclusion this variable in the model could demonstrate relationships between country’s wealth and alcohol consumption. The mean GDP per capita is 14630$ with standard deviation of 20101. The poorest country in the sample is Burundi with GDP per capita of 250$ while the richest country is Luxembourg with GDP per capita of 110193$. Generally, it can be concluded from high value of standard deviation that there is a vast difference between countries’ wealth. Alcohol beverages price index provides information about cost of alcohol production in countries. Source of the data is World Bank International Comparison Program. All indexes are compared to value 100 which is world average. It is essential to include such parameter in regression because it demonstrates correlation between alcohol price level and alcohol consumption. Country with the cheapest beverages is Azerbaijan with index of 42.06 and country with the most expensive beverages is Bahrain with index of 449.9 Religion: In our sample countries in which more than 50% are religious people were considered as religious. Religious indicated with 1 and non-religious with 0. Overall, our sample is comprised of 82 non-religious countries and 53 religious’ countries. One disadvantage of this variables lies in data utilization – it was done manually in internet searching. 5

First remark about data collection is that GDP per capita and beverages price index are from 2017 year, whereas alcohol consumption per person is from 2018. Despite one year difference between above mentioned variables, it is not likely that it can significantly affect results of the research. Another note about data lies in number of observations: each variables’ number of observations were corrected to matched number since some data sources missed several countries of previous source. Although it may seem like selective sampling, it was done only to exclude blank values due to lack of data. For example, initially data on alcoholic beverages price index contained 159 observations while alcohol consumption per person contained 202 countries. Our decision was to exclude non-matching countries in all data sources.