The statistic shows the gross domestic product (GDP) per capita in the United States from 1987 to 2024, with projections up until 2030. In 2024, the gross domestic product per capita in the United States amounted to around 85,812.18 U.S. dollars. Thus, the United States is one of the countries with the largest GDP per capita worldwide. See the U.S. GDP growth rate here and the US GDP for further information. For comparison, per capita GDP in China had reached about 5,553 U.S. dollars in 2011. Gross domestic product of the United States The gross domestic product (GDP) of a country is an economic key figure, as it represents the market value of goods and services produced in a country within one year. The United States’ GDP) is increasing consistently, and it is expected to continue growing. On a global scale, the U.S. share of GDP adjusted for Purchasing Power Parity has been in the range of 20 percent over the last few years, give or take a few percentage points. The United States has the largest GDP worldwide, with a significant lead over China, Japan and Germany. Gross domestic product per capita is annual GDP divided by the average population from the same year, which allows for a GDP calculation per inhabitant of a country. Thus, a country with a high GDP, like the United States, can still have a low GDP per capita. Consequently, if compared to other countries, the United States does not rank among the top ten on this list .

Graph and download economic data for Real gross domestic product per capita (A939RX0Q048SBEA) from Q1 1947 to Q2 2025 about per capita, real, GDP, and USA.

Indicator: 8.1.1The annual growth rate of real GDP per capita.The equation used to calculate the results is:The annual growth rate of real Gross Domestic Product (GDP) per capita is calculated as follows:a. Convert annual real GDP in domestic currency at 2010 prices for a country or area to US dollars at 2010 prices using the 2010 exchange rates.b. Divide the result by the population of the country or area to obtain annual real GDP per capita in constant US dollars at 2010 prices.c. Calculate the annual growth rate of real GDP per capita in year t+1 using the following formula: [(G(t+1) – G(t))/G(t)] x 100, where G(t+1) is real GDP per capita in 2010 US dollars in year t+1 and G(t) is real GDP per capita in 2010 US dollars in year t.Note : GDP Constant (2010 = 100)*Data Source:Planning & Statistics Authority, National Accounts Bulletin

This statistic shows the gross domestic product (GDP) per capita in Italy from 1987 to 2024, with projections up until 2030. GDP refers to the total market value of all goods and services that are produced within a country per year. It is an important indicator of the economic strength of a country. In 2024, the GDP per capita in Italy was around 40,224.01 U.S. dollars. Italy's struggling economy Italy’s GDP per capita has been unstable since 2008, often experiencing slight increases and decreases annually. The third largest economy of the euro area not only suffered from the global financial crisis, they were also one of the primary victims of the euro area crisis. One of the outcomes is the significant growth of Italy’s national debt, which saw continued upsurges every year over the past decade. With the collapse of investments and loss of industrial production, the Italian state was forced to resort to increase taxation and decrease spending. Additionally, Italy was forced to borrow more, which in turn increased national debt and furthermore their debt-to-GDP ratio. A debt-to-GDP ratio is significant to help determine if a country can pay off its debts without incurring more. Increased taxation and decrease spending helped with reducing expenditures as well as raising revenues, however Italy still maintained a trade balance deficit, which has only recently< started to recover. Several reasons for Italy’s downturn as a country are unnecessary spending and incompetent leadership.

The statistic shows the gross domestic product (GDP) per capita in Canada from 1987 to 2024, with projections up until 2030. In 2024, the gross domestic product per capita in Canada was around 54,473.19 U.S. dollars. Canada's economy GDP per capita is a measurement often used to determine economic growth and potential increases in productivity and is calculated by taking the GDP and dividing it by the total population in the country. In 2014, Canada had one of the largest GDP per capita values in the world, a value that has grown continuously since 2010 after experiencing a slight downturn due to the financial crisis of 2008. Canada is seen as one of the premier countries in the world, particularly due to its strong economy and healthy international relations, most notably with the United States. Canada and the United States have political, social and economical similarities that further strengthen their relationship. The United States was and continues to be Canada’s primary and most important trade partner and vice versa. Canada’s economy is partly supported by its exports, most notably crude oil, which was the country’s largest export category. Canada was also one of the world’s leading oil exporters in 2013, exporting more than the United States. Additionally, Canada was also a major exporter of goods such as motor vehicles and mechanical appliances, which subsequently ranked the country as one of the world’s top export countries in 2013.

The statistic shows the gross domestic product (GDP) per capita in Brazil from 1987 to 2023, with projections up until 2030. GDP is the total value of all goods and services produced in a country in a year. It is considered to be a very important indicator of the economic strength of a country and a positive change is an indicator of economic growth. In 2023, the estimated GDP per capita in Brazil amounted to around 10,350.44 U.S. dollars. For further information see GDP of Brazil. Economical future of Brazil GDP per capita is worked out by taking the country’s total gross domestic product and dividing it by the total population, which essentially helps determine growth of an economy as well as changes in productivity for every person living in the country. As a member of economic organizations such as the G20 as well as the BRIC countries, Brazil has certainly made its mark as one of the strongest economies in the world. Despite experiencing economic fluctuations often, the general direction of the Brazilian economy is mainly positive. With recent improvements within the government, bank and education systems, Brazil has become a slightly more significant option for international investments. Additionally, a profusion of natural resources, a strong agricultural and industrial sector, and a growing service sector has made investors more intrigued in the future of the country. Additionally, at the end of 2014, consumer confidence saw a slight, however noticeable improvement, implying that individual financial situations and hope for the future of the country are very present within the country. Shortly after, consumer confidence plummeted, showing little faith in Brazil's economic future. However, the economic benchmarks point in a different direction.

Indicator 8.2.1Annual growth rate of real GDP per employed person.The equation used to calculate the results is:Computation Method: Real GDP per employed person= (GDP at constant prices )/(Total employment)The numerator and denominator of the equation above should refer to the same reference period, for example, the same calendar year.If we call the real GDP per employed person “LabProd”, then the annual growth rate of real GDP per employed person is calculated as follows: The annual growth rate of real GDP per employed person= ((LabProd in year n) –(LabProd in year n-1))/((LabProd in year n-1)) ×100Note : GDP Constant (2010 = 100)*Data Source:Planning & Statistics Authority, National Accounts Bulletin

GDP per capita measures the economic output of a nation per person. It seeks to determine the prosperity of a nation by economic growth per person in that nation. Per capita income measures the amount of money earned per person in a nation.

The Gross Domestic Product per capita in India was last recorded at 2396.71 US dollars in 2024. The GDP per Capita in India is equivalent to 19 percent of the world's average. This dataset provides - India GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Milton Friedman’s plucking model of business cycles hypothesizes that deeper recessions forecast larger booms while stronger booms do not necessarily forecast deeper recessions. This paper tests the plucking model using Maddison Project growth data for 169 countries across several centuries. We find 56.9% of the per capita GDP growth magnitude in the last year of a downturn forecasts the per capita GDP growth magnitude of the subsequent first recovery year while only 16.2% of the last boom year per capita GDP growth magnitude forecasts the per capita GDP growth magnitude of the first year in the subsequent downturn, suggesting that the plucking model holds up relatively well. Combining our finding that first post-recession boom year per capita GDP growth rate is typically is 0.7% higher than later boom years suggests that recoveries generally exhibit “reverse square root” shapes.

As of the first quarter of 2025, the GDP of the U.S. fell by 0.5 percent from the fourth quarter of 2024. GDP, or gross domestic product, is effectively a count of the total goods and services produced in a country over a certain period of time. It is calculated by first adding together a country’s total consumer spending, government spending, investments and exports; and then deducting the country’s imports. The values in this statistic are the change in ‘constant price’ or ‘real’ GDP, which means this basic calculation is also adjusted to factor in the regular price changes measured by the U.S. inflation rate. Because of this adjustment, U.S. real annual GDP will differ from the U.S. 'nominal' annual GDP for all years except the baseline from which inflation is calculated. What is annualized GDP? The important thing to note about the growth rates in this statistic is that the values are annualized, meaning the U.S. economy has not actually contracted or grown by the percentage shown. For example, the fall of 29.9 percent in the second quarter of 2020 did not mean GDP is suddenly one third less than a year before. In fact, it means that if the decline seen during that quarter continued at the same rate for a full year, then GDP would decline by this amount. Annualized values can therefore exaggerate the effect of short-term economic shocks, as they only look at economic output during a limited period. This effect can be seen by comparing annualized quarterly growth rates with the annual GDP growth rates for each calendar year.

The aim of the article is to compare health system outcomes in the BRICS countries, assess the trends of their changes in 2000−2017, and verify whether they are in any way correlated with the economic context. The indicators considered were: nominal and per capita current health expenditure, government health expenditure, gross domestic product (GDP) per capita, GDP growth, unemployment, inflation, and composition of GDP. The study covered five countries of the BRICS group over a period of 18 years. We decided to characterize countries covered with a dataset of selected indicators describing population health status, namely: life expectancy at birth, level of immunization, infant mortality rate, maternal mortality ratio, and tuberculosis case detection rate. We constructed a unified synthetic measure depicting the performance of individual health systems in terms of their outcomes with a single numerical value. Descriptive statistical analysis of quantitative traits consisted of the arithmetic mean (xsr), standard deviation (SD), and, where needed, the median. The normality of the distribution of variables was tested with the Shapiro–Wilk test. Spearman's rho and Kendall tau rank coefficients were used for correlation analysis between measures. The correlation analyses have been supplemented with factor analysis. We found that the best results in terms of health care system performance were recorded in Russia, China, and Brazil. India and South Africa are noticeably worse. However, the entire group performs visibly worse than the developed countries. The health system outcomes appeared to correlate on a statistically significant scale with health expenditures per capita, governments involvement in health expenditures, GDP per capita, and industry share in GDP; however, these correlations are relatively weak, with the highest strength in the case of government's involvement in health expenditures and GDP per capita. Due to weak correlation with economic background, other factors may play a role in determining health system outcomes in BRICS countries. More research should be recommended to find them and determine to what extent and how exactly they affect health system outcomes.

Detailed information about each of the Predictors

1. Log GDP per capita is in terms of Purchasing Power Parity (PPP) adjusted to a constant 2017 international dollars, taken from the World Development Indicators (WDI) by the World Bank (version 17, metadata last updated on January 22, 2023). See Statistical Appendix 1 for more details. GDP data for 2022 are not yet available, so we extend the GDP time series from 2021 to 2022 using country-specific forecasts of real GDP growth from the OECD Economic Outlook No. 112 (November 2022) or, if missing, from the World Bank’s Global Economic Prospects (last updated: January 10, 2023), after adjustment for population growth. The equation uses the natural log of GDP per capita, as this form fits the data significantly better than GDP per capita. 2. The time series for Healthy life expectancy at birth is constructed based on data from the World Health Organization (WHO) Global Health Observatory data repository, with data available for 2005, 2010, 2015, 2016, and 2019. To match this report’s sample period (2005-2022), interpolation and extrapolation are used. See Statistical Appendix 1 for more details. 3. Social support (0-1) is the national average of the binary responses (0=no, 1=yes) to the Gallup World Poll (GWP) question “If you were in trouble, do you have relatives or friends you can count on to help you whenever you need them, or not?” 4. Freedom to make life choices (0-1) is the national average of binary responses to the GWP question “Are you satisfied or dissatisfied with your freedom to choose what you do with your life?” 5. Generosity is the residual of regressing the national average of GWP responses to the donation question “Have you donated money to a charity in the past month?” on log GDP per capita. 6. Perceptions of corruption (0-1) are the average of binary answers to two GWP questions: “Is corruption widespread throughout the government or not?” and “Is corruption widespread within businesses or not?” Where data for government corruption are missing, the perception of business corruption is used as the overall corruption perception measure. 7. Positive affect is defined as the average of previous-day effects measures for laughter, enjoyment, and interest. The inclusion of interest (first added for World Happiness Report 2022), gives us three components in each of positive and negative affect, and slightly improves the equation fit in column 4. The general form for the affect questions is: Did you experience the following feelings during a lot of the day yesterday? 8. Negative affect is defined as the average of previous-day effects measures for worry, sadness, and anger.

The World Happiness Report is a publication of the Sustainable Development Solutions Network, powered by the Gallup World Poll data. The World Happiness Report reflects a worldwide demand for more attention to happiness and well-being as criteria for government policy. It reviews the state of happiness in the world today and shows how the science of happiness explains personal and national variations in happiness.

Life evaluations from the Gallup World Poll provide the basis for the annual happiness rankings. They are based on answers to the main life evaluation question. The Cantril ladder asks respondents to think of a ladder, with the best possible life for them being a 10 and the worst possible life being a 0. They are then asked to rate their own current lives on a 0 to 10 scale. The rankings are from nationally representative samples over three years.

We use observed data on the six variables and estimates of their associations with life evaluations to explain the variation across countries. They include GDP per capita, social support, healthy life expectancy, freedom, generosity, and corruption. Our happiness rankings are not based on any index of these six factors – the scores are instead based on individuals’ own assessments of their lives, in particular, their answers to the single-item Cantril ladder life-evaluation question, much as epidemiologists estimate the extent to which life expectancy is affected by factors such as smoking, exercise, and diet.

The World Happiness Report and much of the growing international interest in happiness exist thanks to Bhutan. They sponsored Resolution 65/309, “Happiness: Towards a holistic approach to development,” adopted by the General Assembly of the United Nations on 19 July 2011, inviting national governments to “give more importance to happiness and well-being in determining how to achieve and measure social and economic development.”

On 2 April 2012, chaired by Prime Minister Jigmi Y. Thinley and Jeffrey D. Sachs, the first World Happiness Report was presented to review evidence from the emerging science of happiness for the ‘Defining a New Economic Paradigm: The Report of the High-L...

Context

The World Happiness Ranking focuses on the social, urban, and natural environment. Specifically, the ranking relies on self-reports from residents of how they weigh the quality of life they are currently experiencing which englobes three main points: current life evaluation, expected future life evaluation, positive and negative affect (emotion). Half of the underlying data comes from multiple Gallup world polls which asked people to give their assessment of the previously mentioned points, and the other half of the data is comprised of six variables that could be used to try to explain the individuals’ perception in their answers.

Content

The data sources’ datasets were obtained in two different formats. The World Happiness Ranking Dataset is a Comma-separated Values (CSV) file with multiple columns (for the different variables and the score) and a row for each of the analyzed countries.

The rankings of national happiness are based on a Cantril ladder survey. Nationally representative samples of respondents are asked to think of a ladder, with the best possible life for them being a 10, and the worst possible life being a 0. They are then asked to rate their own current lives on that 0 to 10 scale. The report correlates the results with various life factors.

1. GDP per capita is in terms of Purchasing Power Parity (PPP) adjusted to constant 2011 international dollars, taken from the World Development Indicators (WDI) released by the World Bank on November 28, 2019. See Statistical Appendix 1 for more details. GDP data for 2019 are not yet available, so we extend the GDP time series from 2018 to 2019 using country-specific forecasts of real GDP growth from the OECD Economic Outlook No. 106 (Edition November 2019) and the World Bank’s Global Economic Prospects (Last Updated: 06/04/2019), after adjustment for population growth. The equation uses the natural log of GDP per capita, as this form fits the data significantly better than GDP per capita.
2. The time series of healthy life expectancy at birth are constructed based on data from the World Health Organization (WHO) Global Health Observatory data repository, with data available for 2005, 2010, 2015, and 2016. To match this report’s sample period, interpolation and extrapolation are used. See Statistical Appendix 1 for more details.
3. Social support is the national average of the binary responses (0=no, 1=yes) to the Gallup World Poll (GWP) question, “If you were in trouble, do you have relatives or friends you can count on to help you whenever you need them, or not?”
4. Freedom to make life choices is the national average of binary responses to the GWP question, “Are you satisfied or dissatisfied with your freedom to choose what you do with your life?”
5. Generosity is the residual of regressing the national average of GWP responses to the question, “Have you donated money to a charity in the past month?” on GDP per capita.
6. Perceptions of corruption are the average of binary answers to two GWP questions: “Is corruption widespread throughout the government or not?” and “Is corruption widespread within businesses or not?” Where data for government corruption are missing, the perception of business corruption is used as the overall corruption-perception measure.
7. Positive affect is defined as the average of previous-day affect measures for happiness, laughter, and enjoyment for GWP waves 3-7 (years 2008 to 2012, and some in 2013). It is defined as the average of laughter and enjoyment for other waves where the happiness question was not asked. The general form for the affect questions is: Did you experience the following feelings during a lot of the day yesterday? See Statistical Appendix 1 for more details.
8. Negative affect is defined as the average of previous-day affect measures for worry, sadness, and anger in all years.

Acknowledgements

The World Happiness Report is a publication of the Sustainable Development Solutions Network, powered by data from the Gallup World Poll, and supported by the Ernesto Illy Foundation, illycaffè, Davines Group, Blue Chip Foundation, the William, Jeff, and Jennifer Gross Family Foundation, and Unilever’s largest ice cream brand Wall’s.

Inspiration

Find the relationship between the ladder score and the other pieces of data.

Data: Happiness Index Score 2018

Dependent variable: Score Independent Variable: GDP per capita, freedom to make life choices, health life expectancy, perception of corruption and social support.

Happiness Index - It's a happiness measure based on survey findings that was first used in the World Happiness Report in 2012. Respondents were asked to rate their happiness on a scale of 0 to 10 in the survey. The Happiness Index is calculated by averaging the responses to a survey. The Happiness Index is determined by subtracting the weighted rate of participants who said they were "Very happy" or "Quite happy" from the weighted rate of participants who said they were "Not at all happy," plus 100. The index thus ranges from 0 to 200.” The Global Happiness Council, a collection of independent academic happiness researchers, developed the Happiness Index initially. Since 2012, this group of people has published the World Happiness Report (WHR). The Happiness Index derives its name from the Bhutanese Gross National Happiness Index. Bhutan began prioritising pleasure over other factors such as riches, comfort, and economic growth in 1972. They developed a happiness index based on numerous quantitative elements and have been tracking it ever since. The Happiness Council was motivated by this to create their own definition of the Happiness Index, which was published in the 2012 World Happiness Report. The United Nations General Assembly voted Resolution 66/281, designating March 20 as International Day of Happiness, to be observed annually. Every year on the same day, the World Happiness Report is released. Researchers, community organisers, and policymakers can utilise the Happiness Index to better understand and improve individual happiness, community well-being, social justice, economic equality, and environmental sustainability. The index was created with the goal of promoting social change by making the survey instrument and data freely available to community organisers, educators, researchers, students, organisations, and the government.

The Methodology To create the rankings (called the World Happiness Index), secondary and survey data are used. GDP per capita in terms of purchasing power parity (PPP), healthy life expectancy at birth, level of social assistance, generosity, views of corruption, and freedom to make life choices are among the parameters for evaluation. The World Bank and the World Health Organization (WHO) both offer ready-to-use information for calculating life expectancy and GDP per capita. Sample Size - The other measures are based on Gallup World Poll polls. It normally reaches out to 1,000 people in a country each year The surveyors claim that they are unable to contact many nations for the yearly survey. The sample size increases to 3,000 in nations where annual polls may be conducted on a regular basis.

World Happiness Index 2018 – Since we have studied World Happiness Report of 2018 so according to the data, Finland was rated the happiest nation in the world while Burundi ranks the bottom of the Happiness Index.

Taking 2005 as the base year, the future population scenario was predicted by adopting the logistic model of population. This model not only effectively describes the pattern of changes in population and biomass but is also widely applied in the field of economics. The urbanization rate was predicted using the urbanization logistic model. Based on the observed horizontal pattern of urbanization, a predictive model was established by determining the parameters in the parametric equation by applying nonlinear regression. The urban population was calculated by multiplying the predicted population by the urbanization rate. The data represent the non-agricultural population. The logistic model was used to predict the future gross domestic product of each county (or city), and then the economic development level of each county (or city) in each period (in terms of GDP per capita). The corresponding industrial structure scenarios in each period were set, and the output value of each industry was predicted. The trend of industrial structure changes in China and the research area lagged behind the growth in GDP, so the changes were adjusted according to the need for future industrial structure scenarios in the research area.

India’s share of global gross domestic product (GDP) rose to 8.25 percent in 2024 when adjusted for purchasing power parity (PPP) and was projected to increase to 10 percent by 2030. This reflects the growth of India’s economy, which is helped in this ranking by the low purchasing power of the rupee. The Indian economy A significant portion of India’s economic growth comes from a shift in the workforce from the agricultural sector to the more-productive service sector. This labor force shift is particularly significant in India because of the country’s staggering population figures. As such, changes in the Indian economy have an impact on a significant portion of the world population. What does PPP mean? The Economist magazine uses the Big Mac Index to illustrate purchasing power. Since the product should be the same in every country that has a McDonalds, the Big Mac’s price should reflect the purchasing power of each local currency. For the calculation in this statistic, economists took the prices of several standard goods (though not the Big Mac) and put them at the same level based on their prices in the local currency. Thus, the power of these currencies to purchase was put on par across countries, giving purchasing power parity. As such, this statistic can be interpreted as the relative size of the Indian economy if the whole world used the Indian rupee price levels.