The Gross Domestic Product per capita in Russia was last recorded at 11043.26 US dollars in 2024. The GDP per Capita in Russia is equivalent to 87 percent of the world's average. This dataset provides the latest reported value for - Russia GDP per capita - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The Gross Domestic Product (GDP) in Russia was worth 2173.84 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Russia represents 2.05 percent of the world economy. This dataset provides the latest reported value for - Russia GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Monthly and long-term Russia GDP Per Capita data: historical series and analyst forecasts curated by FocusEconomics.

The Gross Domestic Product (GDP) in Russia expanded 0.60 percent in the third quarter of 2025 over the same quarter of the previous year. This dataset provides the latest reported value for - Russia GDP Annual Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The Gross Domestic Product per capita in Russia was last recorded at 41704.71 US dollars in 2024, when adjusted by purchasing power parity (PPP). The GDP per Capita, in Russia, when adjusted by Purchasing Power Parity is equivalent to 235 percent of the world's average. This dataset provides the latest reported value for - Russia GDP per capita PPP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This dataset offers a detailed comparison of key global players like USA, Russia, China, India, Canada, Australia, and others across various economic, social, and environmental metrics. By comparing countries on indicators such as GDP, population, healthcare access, education levels, internet penetration, military spending, and much more, this dataset provides valuable insights for researchers, policymakers, and analysts.

🔍 Key Comparisons:

Economic Indicators: GDP, inflation rates, unemployment rates, etc. Social Indicators: Literacy rates, healthcare quality, life expectancy, etc. Environmental Indicators: CO2 emissions, renewable energy usage, protected areas, etc. Technological Advancements: Internet users, mobile subscriptions, tech exports, etc. Military Spending: Defense budgets, military personnel numbers, etc. This dataset is perfect for those who want to compare countries in terms of development, growth, and global standing. It can be used for data analysis, policy planning, research, and even education.

✨ Key Features:

Comprehensive Coverage: Includes multiple countries with key metrics. Multiple Domains: Economic, social, environmental, technological, and military data. Up-to-date Information: Covers data from the last decade to provide recent insights. Research Ready: Suitable for academic research, visualizations, and analysis.

Explore real GDP growth projections dataset, including insights into the impact of COVID-19 on economic trends. This dataset covers countries such as Spain, Australia, France, Italy, Brazil, and more.

growth rate, Real, COVID-19, GDP

Spain, Australia, France, Italy, Brazil, Argentina, United Kingdom, United States, Canada, Russia, Turkiye, World, China, Mexico, Korea, India, Saudi Arabia, South Africa, Germany, Indonesia, JapanFollow data.kapsarc.org for timely data to advance energy economics research..Source: OECD Economic Outlook database.- India projections are based on fiscal years, starting in April. The European Union is a full member of the G20, but the G20 aggregate only includes countries that are also members in their own right. Spain is a permanent invitee to the G20. World and G20 aggregates use moving nominal GDP weights at purchasing power parities. Difference in percentage points, based on rounded figures.

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.

Russia GDP per Person Employed: 2021 PPP data was reported at 82,882.655 Intl $ in 2023. This records an increase from the previous number of 79,114.382 Intl $ for 2022. Russia GDP per Person Employed: 2021 PPP data is updated yearly, averaging 65,556.272 Intl $ from Dec 1991 (Median) to 2023, with 33 observations. The data reached an all-time high of 82,882.655 Intl $ in 2023 and a record low of 41,354.348 Intl $ in 1996. Russia GDP per Person Employed: 2021 PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Russian Federation – Table RU.World Bank.WDI: Employment and Unemployment. GDP per person employed is gross domestic product (GDP) divided by total employment in the economy. Purchasing power parity (PPP) GDP is GDP converted to 2021 constant international dollars using PPP rates. An international dollar has the same purchasing power over GDP that a U.S. dollar has in the United States.;World Bank, World Development Indicators database. Estimates are based on employment, population, GDP, and PPP data obtained from International Labour Organization, United Nations Population Division, Eurostat, OECD, and World Bank.;Weighted average;

Russia GDP per Capita: PPP: 2021 Price data was reported at 39,753.457 Intl $ in 2023. This records an increase from the previous number of 38,263.617 Intl $ for 2022. Russia GDP per Capita: PPP: 2021 Price data is updated yearly, averaging 31,152.042 Intl $ from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 39,753.457 Intl $ in 2023 and a record low of 17,226.227 Intl $ in 1998. Russia GDP per Capita: PPP: 2021 Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Russian Federation – Table RU.World Bank.WDI: Gross Domestic Product: Purchasing Power Parity. GDP per capita based on purchasing power parity (PPP). PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP at purchaser's prices is the sum of gross value added by all resident producers in the country plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2021 international dollars.;International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.;Weighted average;

Source: UNECE Statistical Database, compiled from national and international (CIS, EUROSTAT, IMF, OECD, World Bank) official sources.General note: The UNECE secretariat presents time series ready for immediate analysis. When appropriate, source segments with methodological differences have been linked and rescaled to build long consistent time series.The national accounts estimates are compiled according to 2008 SNA (System of National Accounts 2008) or 1993 SNA (System of National Accounts 1993).Constant price estimates are based on data compiled by the National Statistical Offices (NSOs), which reflect various national practices (different base years, fixed base, chain, etc.). To facilitate international comparisons, the data reported by the NSOs have been scaled to the current price value of of the common reference year. The resulting chain constant price data are not additive.Common currency (US$) estimates are computed by the secretariat using purchasing power parities (PPPs), which are the rates of currency conversion that equalise the purchasing power of different currencies. PPPs, and not exchange rates, should be used in international comparisons of GDP and its components.Growth rates (per cent) are over the preceding period, unless otherwise specified.Contributions to per cent growth in GDP (in percentage points) are over the preceding period, unless otherwise specified.Regional aggregates are computed by the secretariat. For national accounts all current price aggregates are sums of national series converted into US$ at current PPPs of GDP; all constant price aggregates are calculated by summing up national series scaled to the price level of the common reference year and then converted into US$ using PPPs of GDP of the common reference year. Due to conversion and rounding the resulting aggregates and components could be non-additive.Aggregates are computed for the following regions:UNECE-52:Albania; Armenia; Austria; Azerbaijan; Belarus; Belgium; Bosnia and Herzegovina; Bulgaria; Canada; Croatia; Cyprus; Czech Republic; Denmark; Estonia; Finland; France; Georgia; Germany; Greece; Hungary; Iceland; Ireland; Israel; Italy; Kazakhstan; Kyrgyzstan; Latvia; Lithuania; Luxembourg; Malta; Montenegro; Netherlands; North Macedonia; Norway; Poland; Portugal; Republic of Moldova; Romania; Russian Federation; Serbia; Slovakia; Slovenia; Spain; Sweden; Switzerland; Tajikistan; Turkey; Turkmenistan; Ukraine; United Kingdom; United States; Uzbekistan.North America-2:Canada; United States.European Union-27 (31/12/2020):Austria; Belgium; Bulgaria; Cyprus; Croatia; Czech Republic; Denmark; Estonia; Finland; France; Germany; Greece; Hungary; Ireland; Italy; Latvia; Lithuania; Luxembourg; Malta; Netherlands; Poland; Portugal; Romania; Slovakia; Slovenia; Spain; Sweden.Euro area-20:Austria; Belgium; Croatia; Cyprus; Estonia; Finland; France; Germany; Greece; Ireland; Italy; Latvia; Lithuania; Luxembourg; Malta; Netherlands; Portugal; Slovakia; Slovenia; Spain.Eastern Europe, Caucasus and Central Asia (EECCA):Armenia; Azerbaijan; Belarus; Georgia; Kazakhstan; Kyrgyzstan; Republic of Moldova; Russian Federation; Tajikistan; Turkmenistan; Ukraine; Uzbekistan.CIS-11:Armenia; Azerbaijan; Belarus; Kazakhstan; Kyrgyzstan; Republic of Moldova; Russian Federation; Tajikistan; Turkmenistan; Ukraine; Uzbekistan.Western Balkans-6:Albania; Bosnia and Herzegovina; Croatia; Montenegro; North Macedonia; Serbia... - data not availableThe Coronavirus (COVID-19) pandemic impacts the production of statistics and may limit available resources and data sources. This may impact the quality of statistics for 2020, and could lead to later revisions.

Comprehensive dataset on Russia's energy sector, economy, and socio-economic metrics from post-Soviet era to future projections.

This dataset provides a historical and projected overview of key economic, energy, and social indicators for Russia spanning from 1991 (post-Soviet dissolution) to 2025 (including forecasts). It focuses on the oil and gas sector, which has been a cornerstone of Russia's economy, alongside broader macroeconomic and demographic metrics. The data is useful for analyzing trends in energy production, exports, fiscal dependencies, inflation, and social inequality during periods of economic transformation, crises (e.g., 1998 ruble crisis, 2014 sanctions), and recent geopolitical events. Key Features:

Time Coverage: Annual data from 1991 to 2025 (with projections for 2024-2025 based on estimates). Rows: 35 (one per year). Columns: 29, covering energy production, prices, exports, fiscal indicators, demographics, and more. File Format: CSV (UTF-8 encoded for compatibility with special characters like en-dash in tax rates). Data Sources: Compiled from public sources including Rosstat, World Bank, IMF, EIA (U.S. Energy Information Administration), and Russian Central Bank reports. Projections for 2024-2025 are estimates based on trends and may require updates. Missing Values: Some fields (e.g., early years for FDI or import volumes) are blank due to data unavailability; handle with imputation if needed.

Column Descriptions

Githab rep https://github.com/AsDo001/Forecasting-of-revenues-to-the-budget-of-the-Russian-Federation

Russia GDP: PPP: 2021 Price data was reported at 5,815,895.453 Intl $ mn in 2023. This records an increase from the previous number of 5,613,798.699 Intl $ mn for 2022. Russia GDP: PPP: 2021 Price data is updated yearly, averaging 4,498,335.314 Intl $ mn from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 5,815,895.453 Intl $ mn in 2023 and a record low of 2,543,810.300 Intl $ mn in 1998. Russia GDP: PPP: 2021 Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Russian Federation – Table RU.World Bank.WDI: Gross Domestic Product: Purchasing Power Parity. PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP is the sum of gross value added by all resident producers in the country plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2021 international dollars.;International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.;Gap-filled total;

Time series data for the statistic Total_Wealth_Per_Capita_USD and country Russian Federation. Indicator Definition:Total wealth is calculated as the sum of produced capital, natural capital, human capital, and net foreign assets. Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.The statistic "Total Wealth Per Capita USD" stands at 115,903.88 United States Dollars as of 12/31/2020, the highest value at least since 12/31/1996, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 1.47 percent compared to the value the year prior.The 1 year change in percent is 1.47.The 3 year change in percent is 2.31.The 5 year change in percent is 2.15.The 10 year change in percent is 8.61.The Serie's long term average value is 106,252.49 United States Dollars. It's latest available value, on 12/31/2020, is 9.08 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1995, to it's latest available value, on 12/31/2020, is +24.17%.The Serie's change in percent from it's maximum value, on 12/31/2020, to it's latest available value, on 12/31/2020, is 0.0%.

This dataset comprises 348 files, each representing a unique economic indicator for the BRICS nations—Brazil, Russia, India, China, and South Africa—spanning from 1970 to 2020. The dataset includes a wide array of economic metrics such as government consumption expenditure, GDP growth, adjusted savings, and various other national accounts data. This comprehensive dataset is ideal for economic research, financial analysis, and policy evaluation, offering a robust foundation for exploring economic trends and making data-driven decisions.

Key Features: - Diversity of Indicators: Covers a wide range of economic indicators, including net national income, government expenditure, GDP, and more. - Historical Coverage: Provides data spanning five decades, enabling both historical trend analysis and long-term forecasting. - Country Focus: Specifically tailored to the BRICS nations, offering insights into some of the world’s most influential emerging economies.

Usage

This dataset can be utilized for various purposes, such as: - Economic Analysis: Researchers can use the dataset to study economic trends and performance in BRICS countries. - Machine Learning: Data scientists can train models to predict future economic indicators or identify patterns in the data. - Policy Development: Policymakers can analyze the data to develop informed strategies for economic development.

Example Use Case: Suppose you want to analyze the trend in GDP per capita growth across BRICS nations. You could load the relevant files, clean the data, and use statistical tools or machine learning models to study the trend and make predictions.

System

This dataset is self-contained and can be integrated into broader economic research systems. The data files are in CSV format, making them easy to load and manipulate with standard data analysis tools like Python, R, and Excel.

Integration: While the dataset is standalone, it can be combined with other datasets or models for more complex analyses, such as predicting future economic performance or simulating policy impacts.

Data Provenance

The dataset is sourced from the World Bank’s BRICS Economic Indicators, a trusted and comprehensive source of economic data. The data was compiled, cleaned, and structured to facilitate easy analysis and integration into various analytical workflows.

Source: Kaggle - BRICS World Bank Indicators Dataset Coverage: The dataset includes data from Brazil, Russia, India, China, and South Africa, from 1970 to 2020.

Data Preprocessing: Each file was cleaned to remove inconsistencies, and missing values were handled appropriately to ensure the quality and reliability of the data.

Data Overview

The dataset is organized into 348 CSV files, each focusing on a specific economic indicator. Examples include: - GDP per Capita (Constant 2010 US$): Tracks the GDP per capita adjusted for inflation. - Government Final Consumption Expenditure (% of GDP): Measures government spending as a percentage of GDP. - Adjusted Net Savings: Accounts for environmental depletion and degradation in national savings.

Each file contains the following columns: - SeriesName: Describes the economic indicator. - CountryName: The name of the BRICS country. - Year: The year the data was recorded. - Value: The numerical value of the indicator for that year.

This dataset provides a rich resource for anyone looking to delve into the economic history and performance of BRICS countries, offering the data necessary to explore past trends and project future developments.

Russia RU: GDP: PPP: 2017 Price data was reported at 4,027,358.213 Intl $ mn in 2022. This records a decrease from the previous number of 4,112,474.573 Intl $ mn for 2021. Russia RU: GDP: PPP: 2017 Price data is updated yearly, averaging 3,178,789.642 Intl $ mn from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 4,112,474.573 Intl $ mn in 2021 and a record low of 1,824,938.131 Intl $ mn in 1998. Russia RU: GDP: PPP: 2017 Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Russian Federation – Table RU.World Bank.WDI: Gross Domestic Product: Purchasing Power Parity. PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP is the sum of gross value added by all resident producers in the country plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2017 international dollars.;International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.;Gap-filled total;

The statistic shows GDP in India from 1987 to 2024, with projections up until 2030. In 2024, GDP in India was at around 3.91 trillion U.S. dollars, and it is expected to reach six trillion by the end of the decade. See figures on India's economic growth here, and the Russian GDP for comparison. Historical development of the Indian economy In the 1950s and 1960s, the decision of the newly independent Indian government to adopt a mixed economy, adopting both elements of both capitalist and socialist systems, resulted in huge inefficiencies borne out of the culture of interventionism that was a direct result of the lackluster implementation of policy and failings within the system itself. The desire to move towards a Soviet style mass planning system failed to gain much momentum in the Indian case due to a number of hindrances, an unskilled workforce being one of many.When the government of the early 90’s saw the creation of small-scale industry in large numbers due to the removal of price controls, the economy started to bounce back, but with the collapse of the Soviet Union - India’s main trading partner - the hampering effects of socialist policy on the economy were exposed and it underwent a large-scale liberalization. By the turn of the 21st century, India was rapidly progressing towards a free-market economy. India’s development has continued and it now belongs to the BRICS group of fast developing economic powers, and the incumbent Modi administration has seen India's GDP double during its first decade in power.

The Gross Domestic Product per capita in Ukraine was last recorded at 2219.04 US dollars in 2024. The GDP per Capita in Ukraine is equivalent to 18 percent of the world's average. This dataset provides the latest reported value for - Ukraine GDP per capita - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The database contains continuous chronological series of the main indicators of dynamics for the US economy in 1950-1996 and the results of a preliminary approximation of the corresponding analytical trends up to 2010. The database includes the values of GNP and GDP in the current and fixed prices, price deflators, shares of various industry groups in the structure of the domestic product, indicators of the dynamics for the total national income, values of exports and imports of goods, population data, indicators of general and sectoral employment and unemployment, basic indices of values for intermediate and final products in material production, the current volumes of capital investments, basic indices of production costs and consumer prices, as well as indicators of the national wealth of the United States. Particular attention was paid to inflation rates, the growth of military spending, the dynamics of public debt and such derived socio-economic indicators as the values of the total national product, income and wealth per capita. Due to some ongoing revisions to the US System of National Accounts (NIPA) introduced by the Bureau of Economic Analysis of the US Department of Commerce, all series have been updated to reflect the President's Economic Report of 1997. All the given series of indicators were verified with primary data sources and provided with reference linear charts of statistical trends. The basis for compiling the database was the official reference publications of the US federal departments, as well as statistical materials accumulated and processed in the Section of Economic Databases at the Institute for the USA and Canada of the Russian Academy of Sciences in 1985-1997.

Russia GNI per Capita: PPP: 2021 Price data was reported at 39,221.684 Intl $ in 2023. This records an increase from the previous number of 37,462.902 Intl $ for 2022. Russia GNI per Capita: PPP: 2021 Price data is updated yearly, averaging 36,163.359 Intl $ from Dec 2012 (Median) to 2023, with 12 observations. The data reached an all-time high of 39,221.684 Intl $ in 2023 and a record low of 34,380.656 Intl $ in 2016. Russia GNI per Capita: PPP: 2021 Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Russian Federation – Table RU.World Bank.WDI: Gross Domestic Product: Purchasing Power Parity. GNI per capita based on purchasing power parity (PPP). PPP GNI is gross national income (GNI) converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GNI as a U.S. dollar has in the United States. 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. Data are in constant 2021 international dollars.;International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.;Weighted average;