The Gross Domestic Product per capita in the United States was last recorded at 66682.61 US dollars in 2024. The GDP per Capita in the United States is equivalent to 528 percent of the world's average. This dataset provides - United States GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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

The Gross Domestic Product per capita in Mexico was last recorded at 10313.49 US dollars in 2024. The GDP per Capita in Mexico is equivalent to 82 percent of the world's average. This dataset provides - Mexico GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

GDP per capita (current US$) is an economic indicator that measures the average economic output per person in a country. It is calculated by dividing the total Gross Domestic Product (GDP) of a country by its population, both measured in current US dollars. GDP per capita provides a useful metric for comparing the economic well-being and living standards between different countries.

There are various sources where you can find GDP per capita data, including international organizations, government agencies, and financial institutions. Some prominent sources for GDP per capita data include:

1. World Bank: The World Bank provides comprehensive data on GDP per capita for countries around the world. They maintain the World Development Indicators (WDI) database, which includes GDP per capita figures for different years.

2. International Monetary Fund (IMF): The IMF also offers GDP per capita data through their World Economic Outlook (WEO) database. It provides economic indicators and forecasts, including GDP per capita figures for various countries.

3. National Statistical Agencies: Many countries have their own national statistical agencies that publish GDP per capita data. These agencies collect and analyze economic data, including GDP and population figures, to calculate GDP per capita.

4. Central Banks: In some cases, central banks may also provide GDP per capita data for their respective countries. They often publish economic indicators and reports that include GDP per capita figures.

When using GDP per capita data, it's important to note that it represents an average measure and does not necessarily reflect the distribution of wealth within a country. Additionally, GDP per capita figures are often adjusted for inflation to provide real GDP per capita, which accounts for changes in the purchasing power of money over time.

To access the most up-to-date and accurate GDP per capita data, it is recommended to refer to reputable sources mentioned above or consult the official websites of international organizations, government agencies, or central banks that specialize in economic data and analysis.

The Gross Domestic Product per capita in Brazil was last recorded at 9564.58 US dollars in 2024. The GDP per Capita in Brazil is equivalent to 76 percent of the world's average. This dataset provides - Brazil GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This dataset shows the Gross Domestic Product per capita by state for year 2005 - 2022 at current prices. Footnote: For base year 2005, values for year 2012 are estimate and values for year 2013 are preliminary. For base year 2010, values for year 2016 are estimate and values for year 2017 are preliminary. For base year 2015, values for year 2021 are estimate and values for year 2022 are preliminary. Source: Department of Statistics Malaysia.

The Gross Domestic Product per capita in Panama was last recorded at 17137.35 US dollars in 2024. The GDP per Capita in Panama is equivalent to 136 percent of the world's average. This dataset provides - Panama GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Gross Domestic Product (GDP) is the monetary value of all finished goods and services made within a country during a specific period. GDP provides an economic snapshot of a country, used to estimate the size of an economy and growth rate. This dataset contains the GDP based on Purchasing Power Parity (PPP).

GDP comparisons using PPP are arguably more useful than those using nominal GDP when assessing a nation's domestic market because PPP takes into account the relative cost of local goods, services and inflation rates of the country, rather than using international market exchange rates which may distort the real differences in per capita income

Acknowledgement

Thanks to World Databank

The GDP per capita for countries is shown in this dataset for the different years. This economic metric shows the economic output per person and determines the country’s situation based on its economic growth. This dataset can be used to analyze the prosperity of a country based on its economic growth. Countries with higher GDP per countries are determined to be developed whereas countries with low GDP per capita are determined to be developing countries. This dataset can be used to analyze a country’s wealth and prosperity.

The Gross Domestic Product per capita in China was last recorded at 13121.68 US dollars in 2024. The GDP per Capita in China is equivalent to 104 percent of the world's average. This dataset provides - China GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Gross Domestic Product (GDP): per Capita: Beijing data was reported at 228,000.000 RMB in 2024. This records an increase from the previous number of 200,278.000 RMB for 2023. Gross Domestic Product (GDP): per Capita: Beijing data is updated yearly, averaging 2,993.000 RMB from Dec 1949 (Median) to 2024, with 76 observations. The data reached an all-time high of 228,000.000 RMB in 2024 and a record low of 66.000 RMB in 1949. Gross Domestic Product (GDP): per Capita: Beijing 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.

This dataset provides a comprehensive view of key macroeconomic indicators across various entities (countries or regions) over time. It includes annual data for the following variables:

Entity: The name of the country or region for which the data is recorded. Code: A standardized three-letter country or region code, facilitating easier identification and merging with other datasets. Year: The calendar year for which the economic indicators are reported. GDP per capita: The gross domestic product (GDP) divided by the midyear population. It represents the average economic output per person and is a common measure of living standards and economic development. Value of global merchandise exports as a share of GDP: This indicates the proportion of a country's total economic output that is represented by the value of its exported goods. It highlights the importance of international trade in the economy. Government expenditure (% of GDP): The total spending by the government as a percentage of the country's GDP. This reflects the size and scope of government involvement in the economy. Trade as a Share of GDP: The sum of a country's total exports and imports of goods and services, expressed as a percentage of its GDP. This metric indicates the overall openness of an economy to international trade. ****Inflation, consumer prices (annual %)****: The percentage change in the average prices of goods and services typically purchased by households over a one-year period. It measures the rate at which the cost of living is changing.

Increase the per capita personal income (% of US) from 93.51% in 2013 to 98.20% by 2017.

This is the dataset for 2021 world biased/unbiased per capita GDP including ranking. The original data (country, code, population, GDP) was downloaded from the World Bank with date 12/22/2022.

The Gross Domestic Product per capita in Argentina was last recorded at 12667.03 US dollars in 2024. The GDP per Capita in Argentina is equivalent to 100 percent of the world's average. This dataset provides - Argentina GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

We developed and presented a set of comparable spatially explicit global gridded gross domestic product (GDP) for both historical period (2005 as representative) and for future projections from 2030 to 2100 at a ten-year interval for all five SSPs. The DMSP-OLS nighttime light (NTL) images and the LandScan Global Population database were used to generate LitPop map, which reduces the limitations of saturation problem of using NTL images alone or the assumption of even GDP per capita within an administrative boundary of gridded data set in GDP disaggregation. We used the LitPop maps to disaggregate national GDP and over 800 provincial gross regional product (GRP, in 2005 PPP USD) across the globe in 2005 and to downscaled to a spatial resolution of 30 arc-seconds (~1 km at equator). National and supranational GDP growth rate projections in 2030-2100 under five SSPs were then downscaled to 1-km grids based on the LitPop approach, which used NPP-VIIRS product as fixed NTL image in 2015 and the population projections of 0.125 arc-degreee (Jones and O'Neill, 2016), which are downscaled to 1-km based on LandScan population distribution pattern in 2015. We then upscaled this gridded GDP dataset to 0.25 arc-degree and provided here.

There are 41 tif files (2005 and 2030 - 2100 at a ten-year interval for five SSPs) for each spatial resolution. The gridded GDP are distributed over land with value of zero filled in the Antarctica, oceans and some desert or wilderness areas (non-illuminated and depopulated zones). The spatial extents are 60S - 90N and 180E - 180W in standard WGS84 coordinate system.

For more details, please refer to the corresponding article: Global gridded GDP data set consistent with the shared socioeconomic pathways by Wang and Sun (2022).

The dataset for predicting income per capita for Canada is taken from the website: data.worldbank.org

I am just using the data to practice Linear regression for single variable as a beginner.

There's a story behind every dataset and here's your opportunity to share yours.

Content

The data set contains 2 columns namely year and per capita income

Acknowledgements

The dataset for predicting income per capita for Canada is taken from the website: data.worldbank.org

Objective

Predict Canadas per capita income for the year 2020 using linear regression (beginner level)(just for practice)

Per Capita Income by Town reports the 5-year estimated mean income for every individual, disaggregated by Race or Ethnicity.

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_c43f61819c32009f2e86c29b0550e7fc/view

Chad TD: GDP: USD: Gross National Income per Capita: Atlas Method data was reported at 670.000 USD in 2023. This records an increase from the previous number of 660.000 USD for 2022. Chad TD: GDP: USD: Gross National Income per Capita: Atlas Method data is updated yearly, averaging 220.000 USD from Dec 1962 (Median) to 2023, with 62 observations. The data reached an all-time high of 940.000 USD in 2014 and a record low of 110.000 USD in 1964. Chad TD: GDP: USD: Gross National Income per Capita: Atlas Method data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Gross Domestic Product: Nominal. GNI per capita (formerly GNP per capita) is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States.;World Bank national accounts data, and OECD National Accounts data files.;Weighted average;