The statistic shows global gross domestic product (GDP) from 1985 to 2024, with projections up until 2030. In 2020, global GDP amounted to about 85.76 trillion U.S. dollars, two and a half trillion lower than in 2019. Gross domestic product Gross domestic product, also known as GDP, is the accumulated value of all finished goods and services produced in a country, often measured annually. GDP is significant in determining the economic health, growth and productivity in the country, and is a stat often used when comparing several countries at a time, most likely in order to determine which country has seen the most progress. Until 2020, Global GDP had experienced a growth every year since 2010. However, a strong growth rate does not necessarily lead to all positive outcomes and often has a negative effect on inflation rates. A severe growth in GDP leads to lower unemployment, however lower unemployment often leads to higher inflation rates due to demand increasing at a much higher rate than supply and as a result prices rise accordingly. In terms of unemployment, growth had been fairly stagnant since the economic downturn of 2007-2009, but it remains to be seen what the total impact of the coronavirus pandemic will be on total employment.

Nominal GDP is an assessment of economic production in an economy but includes the current prices of goods and services in its calculation. GDP is typically measured as the monetary value of goods and services produced.

**Real gross domestic product **(real GDP for short) is a macroeconomic measure of the value of economic output adjusted for price changes (i.e. inflation or deflation). This adjustment transforms the money-value measure, nominal GDP, into an index for quantity of total output.estions do you want to see answered?

In 2024, the U.S. GDP increased from the previous year to about 29.18 trillion U.S. dollars. Gross domestic product (GDP) refers to the market value of all goods and services produced within a country. In 2024, the United States has the largest economy in the world. What is GDP? Gross domestic product is one of the most important indicators used to analyze the health of an economy. GDP is defined by the BEA as the market value of goods and services produced by labor and property in the United States, regardless of nationality. It is the primary measure of U.S. production. The OECD defines GDP as an aggregate measure of production equal to the sum of the gross values added of all resident, institutional units engaged in production (plus any taxes, and minus any subsidies, on products not included in the value of their outputs). GDP and national debt Although the United States had the highest Gross Domestic Product (GDP) in the world in 2022, this does not tell us much about the quality of life in any given country. GDP per capita at purchasing power parity (PPP) is an economic measurement that is thought to be a better method for comparing living standards across countries because it accounts for domestic inflation and variations in the cost of living. While the United States might have the largest economy, the country that ranked highest in terms of GDP at PPP was Luxembourg, amounting to around 141,333 international dollars per capita. Singapore, Ireland, and Qatar also ranked highly on the GDP PPP list, and the United States ranked 9th in 2022.

The World Bank is a treasure trove of information. :- https://data.worldbank.org/

Generally the Gross Domestic Product of a country = the total output of the country = measure of development/total affluence of the country is measured by indicators such as household spending, government spending, level of investments etc.

Please see Bank of England explanation of GDP here :- http://edu.bankofengland.co.uk/knowledgebank/what-is-gdp/

I have argued that GDP could instead be measured better by primary indicators that lead to these what I call "secondary indicators".

Primary indicators are such as :- level of education. I hypothesize that a higher level of education leads to higher household income and hence higher household spending. So does knowing education levels of a country allow us to predict the GDP of the country?

I have used the list of primary indicators below to do a regression of the GDP per person :- (1) Women making informed choices regarding healthcare - The null hypotheses (H0)----> is the higher the level of women's education - the higher the level of national education and lesser infant mortality rates(which might be a stretch) and hence higher household income --> higher household spending ---> higher GDP. (2) Rural Population % - The null hypotheses (H0) is -----> higher rural population ----> lower per capita household income----> lower level of household spending----> lower GDP. (3) Ratio of Population having education ----> similar to above. You get the point hopefully by now... if not read a introductory macroeconomics textbook or course like this :- https://www.edx.org/course/introduction-economics-macroeconomics-snux-snu044-088-2x-0 (4) Legal Rights Strength Index-----> This actually comes from Islam. In Islam - the affluence of a country is related to truthfulness, rule of law being abided in the country etc.. For those who can understand Urdu/Hindi - please watch this video :- https://www.youtube.com/watch?v=XLjicUv0KYs (5) Credit to Private Sector -----> easier it is to open a business, work on ideas-----> higher should be the output of the country (6) Births attended by Skilled Staff ------> less infant mortality ----> indicates higher level of education and health care in the country ------> can indicate higher government spending among other factors ------>and should translate to higher level of GDP. (6) ATMMachines Ratio per 1000 people ---------> Higher level -----> shows finance is easily available -----> institutions are developed -----> maybe even indicates better public infrastructure-----> should indicate higher personal and government funding. (7) Agricultural Machines per hectare of land ------> higher automation -----> better access to finance for rural areas ------> should lead to higher GDP. (8) Literacy Rate Adults -----> the higher level of education in adults ----> higher private spending -----> should lead to higher GDP. (9) Accounts Ratio Financial Institutions -----> how many people have bank accounts who are male and over 15 ------> shows level of private spending-----> level of finance and infrastructure and hence government funding maybe -----> higher GDP.

This dataset provides both quarterly and annual estimates of the value of the goods and services produced in Iowa as provided by the U.S. Department of Commerce, Bureau of Economic Analysis in tables SAGDP2N, SAGDP9N, SAGDP10N, SQGDP2, and SQGDP9. Annual data is available beginning in 1997, and quarterly beginning 2005. The data include breakdowns of industries' contributions. Quarterly estimates are presented as an annual rate.

Gross domestic product (GDP) is the measure of the market value of all final goods and services produced within Iowa in a particular period of time. In concept, an industry's GDP by state, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). The Iowa GDP a state counterpart to the Nation's GDP, the Bureau's featured and most comprehensive measure of U.S. economic activity. Iowa GDP differs from national GDP for the following reasons: Iowa GDP excludes and national GDP includes the compensation of federal civilian and military personnel stationed abroad and government consumption of fixed capital for military structures located abroad and for military equipment, except office equipment; and Iowa GDP and national GDP have different revision schedules. GDP is reported in millions of current dollars.

Real GDP is an inflation-adjusted measure of Iowa's gross product that is based on national prices for the goods and services produced within Iowa. The real estimates of gross domestic product (GDP) are measured in millions of chained dollars.

The annual per capita real GDP is also provided and is measured in chained dollars. In calculating the per capita real GDP, the real GDP is divided by the Census Bureau’s annual midyear (July 1) population estimates for the year.

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.

505 Economics is on a mission to make academic economics accessible. We've developed the first monthly sub-national GDP data for EU and UK regions from January 2015 onwards.

Our GDP dataset uses luminosity as a proxy for GDP. The brighter a place, the more economic activity that place tends to have.

We produce the data using high-resolution night time satellite imagery and Artificial Intelligence.

This builds on our academic research at the London School of Economics, and we're producing the dataset in collaboration with the European Space Agency BIC UK.

We have published peer-reviewed academic articles on the usage of luminosity as an accurate proxy for GDP.

Key features:

• Granular: Data is provided at the following geographical units:
  • NUTS3 (e.g. London Boroughs),
  • NUTS2 (e.g. London),
  • NUTS1 (e.g. England), and
  • NUTS0 (e.g. United Kingdom) levels.
• Frequent: Data is provided every month from January 2015. This is more frequent than the annualised official datasets.
• Timely: Data is provided with a one month lag (i.e. the data for January 2021 was published at the end of February 2021). This is substantially quicker than the 18 month lag of official datasets.
• Accurate: Our dataset uses Deep Learning to maximise accuracy (RMSE 1.2%).

The dataset can be used by:

• Governments and policy makers - to monitor the performance of local economies, to measure the localised impact of policies, and to get a real-time indication of economic activity.
• Financial services - to get an indication of national-level GDP before official GDP statistics are released
• Engineering companies - to monitor and evaluate the localised impact of infrastructure projects
• Consultancies - to forecast the localised impact of specific projects, to retrospectively monitor and evaluate the localised impact of existing projects
• Economics firms - to create macro forecasts at the national and sub-national level, to assess the impact of policy interventions.
• Academia / Think Tanks - to conduct novel research at the local level. E.g. our dataset can be used to measure the impact of localised COVID-19 lockdowns.

We have created this dataset for all UK sub-national regions, 28 EU Countries and Switzerland.

Measuring economic activity in a country is difficult, since 'the economy' is a complex system with lots of moving parts. A common way to deal with this is to focus on aggregate indicators, such as total national output: "the monetary value of all goods and services produced within a country (or region) in a specific time period". That’s what economists call the Gross Domestic Product (GDP).

GDP is measured using prevailing national prices to estimate the value of output. In other words, GDP is calculated using local currency units. This means that in order to make meaningful cross-country comparisons, it is necessary to translate figures into a common currency - i.e. use a consistent 'unit of measure'.

One option is to simply translate all national figures into one common currency (for instance, US dollars) using exchange rates from currency markets. But because market exchange rates do not always reflect the different price levels between countries, economists often opt for a different alternative. They create a hypothetical currency, called ‘international dollars’, and use this as a common unit of measure. The idea is that a given amount of international dollars should buy roughly the same amount – and quality – of goods and services in any country.

The exchange rates used to translate monetary values in local currencies into 'international dollars' (int-$) are the 'purchasing power parity conversion rates' (also called PPP conversion factors). Below we discuss where PPP rates come from, and why they can often be more useful for comparisons than market exchange rates.

This dataset provides annual GDP data for all recognized countries from 2015 to 2025, sourced from the IMF. Figures for 2015–2024 are reported values, while 2025 contains projections as the year is not yet complete. For some countries (such as Afghanistan and a few others), certain years are missing due to data not being reported. The dataset is well-suited for: 1) Trend analysis – Study global GDP growth patterns over the past decade. 2) Forecasting models – Train machine learning models to predict future GDP values. 3) Country comparisons – Compare economic performance between countries or regions. 4) Time-series learning – Practice ARIMA, Prophet, LSTM, and other forecasting techniques. 5) Impact studies – Analyze the impact of global events (e.g., COVID-19) on GDP. 6) Correlation analysis – Link GDP with other indicators (population, inflation, CO₂ emissions). 7) Regional studies – Examine differences between continents or economic blocs (EU, ASEAN, G7, BRICS). 8) Inequality measurement – Compare GDP distribution across developed vs. developing economies. 9) Visualization projects – Create dashboards, heatmaps, or choropleth maps of GDP data. 10) Educational use – Use the dataset in economics, finance, or data science courses as a teaching resource.

Gross domestic product (GDP) is a measure for the economic activity. It refers to the value of the total output of goods and services produced by an economy, less intermediate consumption, plus net taxes on products and imports. GDP per capita is calculated as the ratio of GDP to the average population in a specific year. Basic figures are expressed in purchasing power standards (PPS), which represents a common currency that eliminates the differences in price levels between countries to allow meaningful volume comparisons of GDP. The values are also offered as an index calculated in relation to the European Union average set to equal 100. If the index of a country is higher than 100, this country's level of GDP per head is higher than the EU average and vice versa. Please note that this index is intended for cross-country comparisons rather than for temporal comparisons. Finally, the disparities indicator offered for EU aggregates is calculated as the coefficient of variation of the national figures. This time series offers a measure of the convergence of economic activity between the EU Member States. Copyright notice and free re-use of data on: https://ec.europa.eu/eurostat/about-us/policies/copyright

Recent years have seen many attempts to combine expenditure-side estimates of U.S. real output (GDE) growth with income-side estimates (GDI) to improve estimates of real GDP growth. We show how to incorporate information from multiple releases of noisy data to provide more precise estimates while avoiding some of the identifying assumptions required in earlier work. This relies on a new insight: using multiple data releases allows us to distinguish news and noise measurement errors in situations where a single vintage does not. We find that (a) the data prefer averaging across multiple releases instead of discarding early releases in favor of later ones, and (b) that initial estimates of GDI are quite informative. Our new measure, GDP++, undergoes smaller revisions and tracks expenditure measures of GDP growth more closely than either the simple average of the expenditure and income measures published by the BEA or the GDP growth measure of Aruoba et al. published by the Federal Reserve Bank of Philadelphia.

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.

This dataset contains historical quarterly data for the U.S. Real Gross Domestic Product, from the first quarter of 1947 to the Q2 2023. Real GDP is an inflation-adjusted measure that reflects the value of all goods and services produced by an economy in a given year, expressed in base-year prices, and is often considered an indicator of a country's standard of living.

The dataset has two columns:

Date: The end of the respective quarter (in MM/DD/0YYYY format). Value: The Real GDP at the end of the respective quarter.

Inspiration: Real GDP is a comprehensive measure of U.S. economic activity and a key tool for economic decision-making and forecasting. Real GDP is used by economists, policy-makers, researchers, and investors to understand the growth and performance of the U.S. economy over time.

Usability: The Real GDP data can be used for a variety of purposes:

Economic Analysis: It can be used for macroeconomic analysis and forecasting. Policy Understanding: It can help understand the impact and effectiveness of economic policies implemented by the U.S. government. Investment Analysis: GDP growth impacts financial markets, and this data can help investors understand and forecast market trends. Education: It can be used in classrooms for teaching economics, finance, and related disciplines.

View economic output, reported as the nominal value of all new goods and services produced by labor and property located in the U.S.

Quarterly national accounts are compiled in accordance with the European System of Accounts - ESA 2010 as defined in Annex B (transmission programme of data) of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013, amended by Regulation (EU) 2023/734 of 15 March 2023. ESA 2010 is aligned with the national accounts framework at the international level, the System of National Accounts (SNA 2008).

GDP is one of the key aggregates in national accounts. GDP is a measure of the total economic activity taking place on an economic territory.

There are three approaches to measuring GDP:

1. the production approach, as the sum of the value added by all activities which produce goods and services, plus taxes less subsidies on products;
2. the expenditure approach, as the sum of all final expenditures made in either consuming the final output of the economy, or in adding to wealth, plus exports less imports of goods and services;
3. the income approach, as the sum of all incomes earned in the process of producing goods and services plus taxes on production and imports less subsidies

Data published in Eurobase reflect these 3 approaches. The current metadata is associated with the following data collections:

Geographical entities covered are the European Union, the euro area, EU Member States, EFTA countries and Candidate Countries. Data from other countries (e.g. US, Japan and other countries) are received via the OECD and IMF and published in Eurobase in the naid_10 collection.

Data sources: National Statistical Institutes.

New Zealand NZT Forecast:(GDP) Gross Domestic ProductProduction Measure: Average: YoY data was reported at 2.300 % in 2023. This records a decrease from the previous number of 2.500 % for 2022. New Zealand NZT Forecast:(GDP) Gross Domestic ProductProduction Measure: Average: YoY data is updated yearly, averaging 2.750 % from Jun 1998 (Median) to 2023, with 26 observations. The data reached an all-time high of 4.200 % in 1999 and a record low of -0.900 % in 2009. New Zealand NZT Forecast:(GDP) Gross Domestic ProductProduction Measure: Average: YoY data remains active status in CEIC and is reported by New Zealand Treasury. The data is categorized under Global Database’s New Zealand – Table NZ.A023: Real GDP: Forecast: New Zealand Treasury.

Economic growth is easy to understand: it means that people have access to goods and services of increasing quantity and quality. What is hard, however, is to measure economic growth. This chart shows two ways of doing this for US growth over the past 160 years. The purple lines represent a straightforward approach: each line tracks the share of households with access to one specific good or service. Starting from the top, you see the rising provision of basic infrastructure like running water, flush toilets, and electric power. You can also see the increasing availability of communication technology: radios, TVs, the Internet, and mobile phones. And further down, you see the rise of technologies that reduced work at home: vacuum cleaners, washing machines, dryers, and dishwashers. This approach is very concrete; it shows practical ways in which the production and consumption of specific goods increased over time. The downside is that it only captures a limited number of particular goods. Millions of goods and services are produced and consumed, and most are not recorded with such precision. A way to measure how people’s access to the full range of goods and services changes is to measure people’s incomes. This way of measuring growth is shown in the top left panel. The data on average income, here measured by GDP per capita, tells us that the average American was 13 times poorer in 1860 than in 2022 (adjusted for inflation). These two ways of measuring economic growth have pros and cons: one is concrete but not comprehensive, the other is comprehensive but quite abstract. If we want to understand what growth means for our societies, I find it helpful to combine them both.

Beyond GDP, which is measured using expenditure data, the U.S. national income and product accounts (NIPAs) provide an income-based measure of the economy (gross domestic income, or GDI), a measure that averages GDP and GDI, and various aggregates that include combinations of GDP components. This paper compiles real-time data on a variety of NIPA aggregates and uses these in simple time-series models to construct out-of-sample forecasts for GDP growth. Over short forecast horizons, NIPA aggregates—particularly consumption and GDP less inventories and trade—together with these simple time-series models have historically generated more accurate forecasts than a canonical AR(2) benchmark. This has been especially true during recessions, although we document modest gains during expansions as well.

Quarterly estimates of £ million levels from 1997 to 2015.

Dataset replaced by: http://data.europa.eu/euodp/data/dataset/e7XSsvplRDKyJkFqPz9B2w Please be aware that annual and quarterly national accounts' volume figures are expressed in chain-linked volumes with a reference year 2005. Thus, the figures for this indicator are not comparable with previous releases. For more information, click here. GDP includes goods and services that have markets (or which could have markets) and products which are produced by general government and non-profit institutions. For measuring the growth rate of real GDP, the GDP at current prices are valued in prices of the previous year and the thus computed volume changes are imposed on the level of a reference year; this is called a chain-linked series. Accordingly, price movements will not inflate the growth rate. Real GDP per capita is calculated as the ratio of real GDP to the average population of a specific year. It is often used as an indicator of how well off a country is, since it is a measure of average real income in that country. However, it is not a complete measure of economic welfare. For example, GDP does not include most unpaid household work. Neither does GDP take account of negative effects of economic activity, like environmental degradation. Real GDP per capita is based on rounded figures. Discrepancies in tables between totals and percentages are due to rounding.