This table presents annual data on the output components, the final expenditure categories and the income components of gross domestic product of the Netherlands. In the national accounts gross domestic product is approached from three points of view: from the output, from the generation of income and from the final expenditure. Gross domestic product is a main macroeconomic indicator. The volume change of gross domestic product is a measure for the economic growth of a country.

Data available from: 1995.

Status of the figures: Data from 1995 up to and including 2023 are final. Data of 2024 are provisional.

Changes as of June 24th 2025: Data of 2024 have been added to this table.

When will new figures be published? Provisional data are published 6 months after the end of the reporting year. Final data are released 18 months after the end of the reporting year.

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.

Gross Domestic Product (GDP) is one of the best known indicators of economic activity and is widely used to monitor economic performance. GDP statistics for Scotland are produced by the Scottish Government and have been designated as National Statistics. This dataset contains statistics for the output approach to GDP and growth in real terms, and includes results for the whole economy (Total GDP) and industry sectors. GDP can also be broken down using the income and expenditure approaches, which are available as separate datasets. There are two updates to the output by industry statistics each quarter. The First Estimate of GDP growth is published around 80 days after the quarter’s end, and an updated second estimate is published in the Quarterly National Accounts around 120 days after the quarter’s end. The First Estimate of GDP statistics will be published on this website as open data; the Second Estimate will not currently be available as open data, but will be available on the Scottish Government website. Results for previous periods are also open to revision each quarter. Further details on Scottish GDP statistics, including methodology notes and the revisions policy, are available. The Industry Sector dimension in this dataset contains the broad industry sectors used on GDP statistics for Scotland the UK. These are based on industry sections from the Standard Industrial Classification (SIC, 2007). Further information can be found here The Measure Type dimension in this dataset contains four GDP measures, detailed below. The index measure is rounded to 4 decimal places and the growth rate measures are rounded to 1 decimal place. It is not always possible to replicate the published growth rates using rounded data, but all results are also available unrounded in the downloadable spreadsheets from the latest publication. • 4Q-on-4Q is the percentage change (growth rate) for the latest four quarters compared to the previous four non-overlapping quarters. This rolling annual growth rate gives a smoothed measure of recent trends. This growth rate is calculated from the Index measure. • Index represents the level of output in real, or volume, terms for each industry or total GDP, relative to the base year (2019). An index value of more than 100 means that output is higher than in the base year, and a value of less than 100 means that output is lower than in the base year. • q-on-q is the percentage change (growth rate) for the latest quarter compared to the previous quarter. This quarterly growth rate is usually taken as the headline measure of GDP growth. This growth rate is calculated from the Index measure. • q-on-q year ago is the percentage change (growth rate) for the latest quarter compared to the same quarter in the previous year. This growth rate over the year is usually compared to other statistics such as earnings or price inflation. This growth rate is calculated from the Index measure. The Reference Period dimension relates to standard calendar quarters. Quarter 1 refers to the period from January to March, Quarter 2 refers to April to June, Quarter 3 refers to July to September, and Quarter 4 refers to October to December. The Reference Area dimension for this dataset only contains results for Scotland, with no breakdowns to other areas. In this dataset, all results relate to Scotland’s onshore economy and do not include the output of offshore oil and gas extraction in Scottish Adjacent Waters. Each industry sector is indexed to make them comparable. For each sector, the value during 2019 is taken as the base year, and given the value of 100. All indexed values are chainlinked volume measures, and given relative to the base year.

Gross domestic product (GDP) is widely recognized as an insufficient measure of economic progress and national success. Since GDP is nearly universally available and comparable across countries, it is extensively used as a benchmarking and reference statistic, even for purposes for which it was not designed. GDP measures the level of domestic productive activity, but it ignores the costs of this growth in terms of the environmental degradation that occurs in the process of production, for example. Sir Partha Dasgupta likened this to a soccer team that only measures success as goals for and ignores goals against. This report is intended primarily for a technical audience, including policy advisors, statisticians, and researchers. It first presents the rationale for using wealth as a measure of economic progress (chapter 1), explains in detail the CWON methodology (chapter 2), and presents global trends observed in the data (chapter 3). It then discusses how the methodology could be further improved to account for the increasing relative scarcity of key assets, most notably renewable natural capital (chapter 4). The subsequent chapters present the methodology and trends of the assets of the CWON wealth portfolio that are developed by the World Bank: nonrenewable natural capital (chapter 5), hydropower (chapter 6), forests and agricultural land (chapter 7), blue natural capital (chapter 8), and human capital (chapter 9). The final chapter concludes and outlines ways to use the CWON database.

In 2023, the United States accounted for 15.56 percent of global gross domestic product (GDP) after adjusting for purchasing power parity (PPP). This share was expected to decrease to 14.72 percent by 2029, which is roughly a seventh of the global total. What is PPP? The easiest way to understand purchasing power parity is the Big Mac Index, a measure developed by The Economist. The index tracks the price of the McDonald’s Big Mac burger, sold at each of its thousands of restaurants worldwide. Countries where the Big Mac is most expensive have higher purchasing power, meaning one can buy more for each unit of that currency. To calculate PPP, economists use a group of goods to calculate the ratio of the price of this group in each country. This ratio is then used to convert all countries into a standardized price level, on parity with each other. Why use PPP? A U.S. dollar in the United States does not have the same purchasing power as a dollar in China, even after considering the exchange rate. For this reason, adjusting for PPP gives an idea of what the rest of the world could buy in the United States, if prices were the same as in their home country. However, some economists argue that using PPP for comparisons between countries is inaccurate because it changes the price level differently for each country. Still, because it accounts not only for country-specific effects but also inflation and exchange rate fluctuations, PPP is a very popular metric.

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 is a measure of production, and yet it is widely used as a proxy for well-being. It is particularly ill-suited for assessing the contributions of digital goods which are free to consumers and thus excluded from GDP measures. This underscores the need to develop new measures of well-being which can assess not only the contributions of digital goods but also welfare more generally. In Brynjolfsson, Eggers, and Gannamaneni (2017), we propose a new way of measuring consumer welfare using massive online choice experiments. This brief paper motivates the need for such an approach and introduces the method.

Annual and quarterly data for UK gross domestic product (GDP) estimates, in chained volume measures and current market prices.

GDP is important because it gives information about the size of the economy and how an economy is performing. It counts all of the output generated within the borders of a nation. One of the three approaches to calculating GDP involves adding up all spending on final goods and services in an economy. Bangladesh Bureau of Statistics (BBS) estimates Bangladesh's nominal and real GDP yearly. The government budget and Bangladesh's poverty-reduction programs must be funded long-term, non-inflationary to maintain macroeconomic stability. Iterative methods are used to develop and implement a country's macroeconomic policy and poverty reduction plan. To overcome the challenges of GDP, focusing on well-being economics with a well-being framework consisting of health, environment, work, physical safety, economic safety, and political freedom is essential.

About this Dataset

This dataset contains 25 columns which are: 1. Country: Corresponding country. 2. Poverty headcount ratio at $2.15 a day (2017 PPP) (% of population): Poverty in country. 3. Life expectancy at birth, total (years): Expected life from birth. 4. Population, total: Population of Country. 5. Population growth (annual %): Population growth each year. 6. Net migration: is the difference between the number of immigrants and the number of emigrants divided by the population. 7. Human Capital Index (HCI) (scale 0-1): is an annual measurement prepared by the World Bank. HCI measures which countries are best in mobilizing their human capital, the economic and professional potential of their citizens. The index measures how much capital each country loses through lack of education and health. 8. GDP (current US$)current US$constant US$current LCUconstant LCU: Gross domestic product is a monetary measure of the market value of all the final goods and services produced in a specific time period by a country or countries. 9. GDP per capita (current US$)current US$constant US$current LCUconstant LCU: the sum of gross value added by all resident producers in the economy plus any product taxes (less subsidies) not included in the valuation of output, divided by mid-year population. 10. GDP growth (annual %): The annual average rate of change of the gross domestic product (GDP) at market prices based on constant local currency, for a given national economy, during a specified period of time. 11. Unemployment, total (% of total labor force) (modeled ILO estimate) 12. Inflation, consumer prices (annual %) 13. Personal remittances, received (% of GDP) 14. CO2 emissions (metric tons per capita) 15. Forest area (% of land area) 16. Access to electricity (% of population) 17. Annual freshwater withdrawals, total (% of internal resources) 18. Electricity production from renewable sources, excluding hydroelectric (% of total) 19. People using safely managed sanitation services (% of population) 20. Intentional homicides (per 100,000 people) 21. Central government debt, total (% of GDP) 22. Statistical performance indicators (SPI): Overall score (scale 0-100) 23. Individuals using the Internet (% of population) 24. Proportion of seats held by women in national parliaments (%) 25. Foreign direct investment, net inflows (% of GDP): is when an investor becomes a significant or lasting investor in a business or corporation in a foreign country, which can be a boost to the global economy.

Category

Economic

Keywords

Row Count

217

Price

$5.50

In 2024, the gross domestic product (GDP) of China amounted to around 18.7 trillion U.S. dollars. In comparison to the GDP of the other BRIC countries India, Russia and Brazil, China came first that year and second in the world GDP ranking. The stagnation of China's GDP in U.S. dollar terms in 2022 and 2023 was mainly due to the appreciation of the U.S. dollar. China's real GDP growth was 3.1 percent in 2022 and 5.4 percent in 2023. In 2024, per capita GDP in China reached around 13,300 U.S. dollars. Economic performance in China Gross domestic product (GDP) is a primary economic indicator. It measures the total value of all goods and services produced in an economy over a certain time period. China's economy used to grow quickly in the past, but the growth rate of China’s real GDP gradually slowed down in recent years, and year-on-year GDP growth is forecasted to range at only around four percent in the years after 2024. Since 2010, China has been the world’s second-largest economy, surpassing Japan.China’s emergence in the world’s economy has a lot to do with its status as the ‘world’s factory’. Since 2013, China is the largest export country in the world. Some argue that it is partly due to the undervalued Chinese currency. The Big Mac Index, a simplified and informal way to measure the purchasing power parity between different currencies, indicates that the Chinese currency yuan was roughly undervalued by 38 percent in 2024. GDP development Although the impressive economic development in China has led millions of people out of poverty, China is still not in the league of industrialized countries on the per capita basis. To name one example, the U.S. per capita economic output was more than six times as large as in China in 2024. Meanwhile, the Chinese society faces increased income disparities. The Gini coefficient of China, a widely used indicator of economic inequality, has been larger than 0.45 over the last decade, whereas 0.40 is the warning level for social unrest.

In the United States, income and expenditure-side estimates of gross domestic product (GDP) (GDPI and GDPE) measure “true” GDP with error and are available at a quarterly frequency. Methods exist for using these proxies to produce reconciled quarterly estimates of true GDP. In this paper, we extend these methods to provide reconciled historical true GDP estimates at a monthly frequency. We do this using a Bayesian mixed frequency vector autoregression (MF-VAR) involving GDPE, GDPI, unobserved true GDP, and monthly indicators of short-term economic activity. Our MF-VAR imposes restrictions that reflect a measurement-error perspective (i.e., the two GDP proxies are assumed to equal true GDP plus measurement error). Without further restrictions, our model is unidentified. We consider a range of restrictions that allow for point and set identification of true GDP and show that they lead to informative monthly GDP estimates. We illustrate how these new monthly data contribute to our historical understanding of business cycles and we provide a real-time application nowcasting monthly GDP over the pandemic recession.

In the national accounts gross domestic product is approached from three points of view: from the output, from the generation of income and from the final expenditure. Gross domestic product is a main macroeconomic indicator. The volume change of gross domestic product is a measure for the economis growth of a country. This table presents annual data on the output components, the final expenditure categories and the income components of gross domestic product of the Netherlands. The above mentioned macroeconomic variables are presented in: - Value at current prices, mln euro - Value at prices of 2005, mln euro - Volume changes on to previous year, % - Price indices 2005 = 100 Data available from 1969 to 2012 Status of the figures: The figures concerning 2011,2012 are (revised) provisional. Because this table is discontinued, figures will not be updated anymore. Changes as of June 25th 2014: None, this table is discontinued. When will new figures be published? Not applicable anymore. This table is replaced by table National Accounts; approaches of domestic product (GDP). See paragraph 3.

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

The marine economy shows the contribution marine-based economic activities make to the New Zealand economy as measured by gross domestic product (GDP). Measuring the marine economy shows how New Zealand’s marine environment is used to generate economic activity and how this changes over time. However, these activities can be a source of pressure on New Zealand’s marine environment.

Estimates of the marine economy are often used globally as an indicator of the marine environment’s societal and economic importance (Kildow & McIlgorm, 2010; Suris-Regueiro et al, 2013).

This indicator measures the contribution of marine-related industries to New Zealand’s marine economy. Currently measurable activity categories are:

· offshore minerals · shipping · fisheries and aquaculture · marine services · marine tourism and recreation · government and defence.

More information on this dataset and how it relates to our environmental reporting indicators and topics can be found in the attached data quality pdf.

Gross Domestic Product (GDP) at basic prices, by various North American Industry Classification System (NAICS) aggregates, by Industry, volume measures, (dollars x 1,000,000), monthly, 5 most recent time periods.

This dataset contains estimates of the socioeconomic status (SES) position of each of 149 countries covering the period 1880-2010. Measures of SES, which are in decades, allow for a 130 year time-series analysis of the changing position of countries in the global status hierarchy. SES scores are the average of each country’s income and education ranking and are reported as percentile rankings ranging from 1-99. As such, they can be interpreted similarly to other percentile rankings, such has high school standardized test scores. If country A has an SES score of 55, for example, it indicates that 55 percent of the countries in this dataset have a lower average income and education ranking than country A. ISO alpha and numeric country codes are included to allow users to merge these data with other variables, such as those found in the World Bank’s World Development Indicators Database and the United Nations Common Database.

See here for a working example of how the data might be used to better understand how the world came to look the way it does, at least in terms of status position of countries.

VARIABLE DESCRIPTIONS:

unid: ISO numeric country code (used by the United Nations)

wbid: ISO alpha country code (used by the World Bank)

SES: Country socioeconomic status score (percentile) based on GDP per capita and educational attainment (n=174)

country: Short country name

year: Survey year

gdppc: GDP per capita: Single time-series (imputed)

yrseduc: Completed years of education in the adult (15+) population

region5: Five category regional coding schema

regionUN: United Nations regional coding schema

DATA SOURCES:

The dataset was compiled by Shawn Dorius (sdorius@iastate.edu) from a large number of data sources, listed below. GDP per Capita:

1. Maddison, Angus. 2004. 'The World Economy: Historical Statistics'. Organization for Economic Co-operation and Development: Paris. GDP & GDP per capita data in (1990 Geary-Khamis dollars, PPPs of currencies and average prices of commodities). Maddison data collected from: http://www.ggdc.net/MADDISON/Historical_Statistics/horizontal-file_02-2010.xls.

2. World Development Indicators Database Years of Education 1. Morrisson and Murtin.2009. 'The Century of Education'. Journal of Human Capital(3)1:1-42. Data downloaded from http://www.fabricemurtin.com/ 2. Cohen, Daniel & Marcelo Cohen. 2007. 'Growth and human capital: Good data, good results' Journal of economic growth 12(1):51-76. Data downloaded from http://soto.iae-csic.org/Data.htm

3. Barro, Robert and Jong-Wha Lee, 2013, "A New Data Set of Educational Attainment in the World, 1950-2010." Journal of Development Economics, vol 104, pp.184-198. Data downloaded from http://www.barrolee.com/

4. Maddison, Angus. 2004. 'The World Economy: Historical Statistics'. Organization for Economic Co-operation and Development: Paris. 13.

5. United Nations Population Division. 2009.

The statistic shows the GDP of the United Kingdom between 1987 and 2024, with projections up until 2030, in US dollars.Private-sector-led economic recoveryGDP is counted among the primary indicators that are used to gauge the state of health of a national economy. GDP is the total value of all completed goods and services that have been produced within a country in a given period of time, usually a year. GDP figures allow us to gain a broader understanding of a country’s economy in a clear way. Real GDP, in a similar way, is also a rather useful indicator; this is a measurement that takes prices changes (inflation and deflation) into account, thereby acting as a key indicator for economic growth.The gross domestic product of the United Kingdom is beginning to show signs of recovery since seeing a sharp decline in the wake of the financial crisis. The decreasing unemployment rate in the United Kingdom is also indicating that the worst could be over for the country. However, some concerns have arisen about what forms of employment are being represented, how stable the jobs are, and whether or not they are simply being cited by officials in government as validation for reforms that are criticized by opponents as being ‘ideologically motivated’. Whatever the political motivation, the coalition government’s efforts to let the private sector lead the economic recovery through increasing employment in the UK in the private sector appear, for now at least, to be working.

The Gross Domestic Product (GDP) in Japan was worth 4026.21 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Japan represents 3.79 percent of the world economy. This dataset provides - Japan GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.