100+ datasets found
  1. F

    Gross Domestic Product: Implicit Price Deflator

    • fred.stlouisfed.org
    json
    Updated Jun 26, 2025
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    (2025). Gross Domestic Product: Implicit Price Deflator [Dataset]. https://fred.stlouisfed.org/series/GDPDEF
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    jsonAvailable download formats
    Dataset updated
    Jun 26, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Gross Domestic Product: Implicit Price Deflator (GDPDEF) from Q1 1947 to Q1 2025 about implicit price deflator, headline figure, inflation, GDP, and USA.

  2. GDP deflators at market prices, and money GDP: December 2013

    • gov.uk
    Updated Jan 8, 2014
    + more versions
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    HM Treasury (2014). GDP deflators at market prices, and money GDP: December 2013 [Dataset]. https://www.gov.uk/government/statistics/gdp-deflators-at-market-prices-and-money-gdp-march-2013
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    Dataset updated
    Jan 8, 2014
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Treasury
    Description

    A series for the GDP deflator in index form is produced by the Treasury from data provided by the Office for National Statistics (ONS) and the Office for Budget Responsibility (OBR). The GDP deflator set is updated after every ONS Quarterly National Accounts release (at the end of each quarter) and whenever the OBR updates its GDP deflator forecasts (usually twice a year).

    Outturn data are the latest Quarterly National Accounts figures from the ONS, 20 December 2013. GDP deflators from 1955-56 to 2012-13 (1955 to 2012) have been taken directly from ONS Quarterly National Accounts implied deflator at market prices series http://www.ons.gov.uk/ons/datasets-and-tables/data-selector.html?cdid=L8GG&dataset=qna&table-id=N" class="govuk-link">L8GG.

    Forecast data are consistent with the Autumn Statement, 05 December 2013.

    Gross Domestic Product (GDP) deflators: a user’s guide

    The detail below aims to provide background information on the GDP deflator series and the concepts and methods underlying it.

    GDP deflators can be used by anyone who has an interest in deflating current price nominal data into a “real terms” prices basis. This guide has been written with casual as well as professional users of the data in mind, using language and concepts aimed at as wide an audience as possible.

    Overview of GDP deflator series

    What is the GDP deflator?

    The GDP deflator can be viewed as a measure of general inflation in the domestic economy. Inflation can be described as a measure of price changes over time. The deflator is usually expressed in terms of an index, i.e. a time series of index numbers. Percentage changes on the previous year are also shown. The GDP deflator reflects movements of hundreds of separate deflators for the individual expenditure components of GDP. These components include expenditure on such items as bread, investment in computers, imports of aircraft, and exports of consultancy services.

    Uses of the GDP deflator series

    The series allows for the effects of changes in price (inflation) to be removed from a time series, i.e. it allows the change in the volume of goods and services to be measured. The resultant series can be used to express a given time series or data set in real terms, i.e. by removing price changes.

    Where do the figures come from?

    A series for the GDP deflator in index form is produced by the Treasury from data provided by the Office for National Statistics (ONS). Forecasts are produced by the Office for Budgetary Responsibility (OBR) and are usually updated around the time of major policy announcements, namely; the Chancellor’s Autumn Statement, and the Budget.

    Rounding Convention

    GDP deflators for earlier years (up to and including the most recent year for which full quarterly data have been published) are presented to 3 decimal places. The index for future years has been removed as the forecasts were not as accurate as this detail would suggest. Percentage year-on-year changes are given to two decimal places for earlier years, forecast years are presented to 1 decimal place as published in the Autumn Statement and the Budget.

    Updates

    • updates to earlier years (up to and including the most recent year for which full quarterly data have been published) shortly after the ONS Quarterly National Accounts release
    • when the OBR updates its forecasts, shortly after the Budget and again after the Chancellor’s Autumn statement

    Background information on GDP and GDP deflator

    What is GDP?

    Gross Domestic Product (GDP) is a measure of the total domestic economic activity. It is the sum of all incomes earned by the production of goods and services within the UK economic territory. It is worth noting that where the earner of the income resides is irrelevant, so long as the goods or services themselves are produced within the UK. GDP is equivalent to the value added to the economy by this activity. Value added can be defined as income

  3. Russia Real GDP Growth

    • ceicdata.com
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    CEICdata.com, Russia Real GDP Growth [Dataset]. https://www.ceicdata.com/en/indicator/russia/real-gdp-growth
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    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2020 - Mar 1, 2023
    Area covered
    Russia
    Description

    Key information about Russia Real GDP Growth

    • The Gross Domestic Product (GDP) in Russia contracted 2.6 % YoY in Mar 2023, following a negative growth of 3.2 % in the previous quarter.
    • Real GDP Growth YoY data in Russia is updated quarterly, available from Mar 1996 to Mar 2023, with an average rate of 2.7 %.
    • The data reached an all-time high of 12.3 % in Dec 1999 and a record low of -9.4 % in Jun 2009.
    CEIC calculates quarterly Real GDP Growth from quarterly Real GDP. The Federal State Statistics Service provides Real GDP in local currency at 2021 prices, based on SNA 2008. Real GDP Growth prior to Q1 2012 is calculated from Real GDP at 2008 prices and prior to Q1 2004 from Real GDP at 2003 prices, both based on SNA 1993.


    Related information about Russia Real GDP Growth

    • In the latest reports, Nominal GDP of Russia reached 494.7 USD bn in Mar 2023.
    • Its GDP deflator (implicit price deflator) increased 0.7 % in Mar 2023.
    • GDP Per Capita in Russia reached 15,074.8 USD in Dec 2022.
    • Its Gross Savings Rate was measured at 35.2 % in Dec 2022.
    • For Nominal GDP contributions, Investment accounted for 28.9 % in Dec 2022.
    • Public Consumption accounted for 17.5 % in Dec 2022.
    • Private Consumption accounted for 47.3 % in Dec 2022.

  4. United States share of global gross domestic product (GDP) 2029

    • ai-chatbox.pro
    • statista.com
    Updated Feb 10, 2025
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    Aaron O'Neill (2025). United States share of global gross domestic product (GDP) 2029 [Dataset]. https://www.ai-chatbox.pro/?_=%2Ftopics%2F772%2Fgdp%2F%23XgboDwS6a1rKoGJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    Feb 10, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Aaron O'Neill
    Area covered
    United States
    Description

    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.

  5. f

    The Nonlinear Relationship Between Financial Stress, Inflation, and Economic...

    • figshare.com
    txt
    Updated Jun 14, 2023
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    Vasyl Zhuk; Mariia Sydorovych (2023). The Nonlinear Relationship Between Financial Stress, Inflation, and Economic Activity: An Empirical Study in an Emerging Economy. Dataset [Dataset]. http://doi.org/10.6084/m9.figshare.23514741.v1
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    txtAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset provided by
    figshare
    Authors
    Vasyl Zhuk; Mariia Sydorovych
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The dataset represents the joint dynamics of Financial Stress Index (FSI), Consumer Price Index (CPI) calculated and provided by the National Bank of Ukraine (NBU) and Gross Domestic Product (GDP) provided by SSSU for Ukraine.

    The monthly dataset range is Feb 2004-Feb 2022, the effective balanced range is Jan 2011-Dec 2021.

    The daily FSI data is aggregated into monthly series as a period average. The CPI series are monthly. The quarterly GDP data is seasonally adjusted and interpolated into monthly data with the use of ARIMA model and cubic spline method accordingly, converted into year-over-year series (dGDP).

  6. g

    Development Economics Data Group - Gross domestic product, deflator, Index |...

    • gimi9.com
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    Development Economics Data Group - Gross domestic product, deflator, Index | gimi9.com [Dataset]. https://gimi9.com/dataset/worldbank_imf_weo_ngdp_d/
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    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The GDP deflator is derived by dividing current price GDP by constant price GDP and is considered to be an alternate measure of inflation. Data are expressed in the base year of each country's national accounts.

  7. I

    India GDP Deflator Growth

    • ceicdata.com
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    CEICdata.com, India GDP Deflator Growth [Dataset]. https://www.ceicdata.com/en/indicator/india/gdp-deflator-growth
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2020 - Dec 1, 2022
    Area covered
    India
    Variables measured
    Gross Domestic Product
    Description

    Key information about India GDP Deflator Growth

    • India GDP deflator (implicit price deflator) increased 6.6 % in Dec 2022, compared with an increase of 10.3 % in the previous quarter.
    • India GDP Deflator Growth data is updated quarterly, available from Jun 2005 to Dec 2022, with an average rate of 5.7 %.
    • The data reached an all-time high of 12.9 % in Jun 2022 and a record low of -0.9 % in Mar 2019.

    CEIC calculates GDP Deflator Growth from quarterly Nominal and Real GDP. Ministry of Statistics and Programme Implementation provides Nominal GDP in local currency and Real GDP in local currency, at 2011-2012 prices. GDP Deflator Growth prior to Q2 2012 is calculated from Nominal GDP and Real GDP at 2004-2005 prices.


    Related information about India GDP Deflator Growth

    • In the latest reports, India GDP expanded 4.4 % YoY in Dec 2022.
    • Its Nominal GDP reached 844.6 USD bn in Dec 2022.
    • India GDP Per Capita reached 2,301.4 USD in Mar 2022.
    • Its Gross Savings Rate was measured at 30.2 % in Mar 2022.

  8. U.S. real GDP growth by quarter Q2 2013- Q2 2024

    • statista.com
    • ai-chatbox.pro
    Updated Nov 4, 2024
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    Statista (2024). U.S. real GDP growth by quarter Q2 2013- Q2 2024 [Dataset]. https://www.statista.com/statistics/188185/percent-change-from-preceding-period-in-real-gdp-in-the-us/
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    Dataset updated
    Nov 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of the third quarter of 2024, the GDP of the U.S. grew by 2.8 percent from the second 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.

  9. s

    Gross Domestic Product: Quarterly Output by Industry - Dataset - Cobalt...

    • cobaltadmin.sgdatacatalogue.net
    Updated Feb 14, 2025
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    (2025). Gross Domestic Product: Quarterly Output by Industry - Dataset - Cobalt Admin [Dataset]. https://cobaltadmin.sgdatacatalogue.net/dataset/gross_domestic_product_quarterly_output_by_industry
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    Dataset updated
    Feb 14, 2025
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    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.

  10. EnhancedHousingPricesData

    • kaggle.com
    Updated Dec 17, 2023
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    Yaroslav53 (2023). EnhancedHousingPricesData [Dataset]. https://www.kaggle.com/datasets/yaroslav53/enhancedhousingmarketdata
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 17, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Yaroslav53
    Description

    EnhancedHousingMarketData.csv is an auxiliary dataset for the "Housing Prices" competition, containing key economic and demographic indicators vital for real estate market analysis. It includes data on non-farm employment, housing price index, per capita income, total quarterly wages, quantitative indexes of real GDP, total GDP, real GDP, stable population, employed individuals, and the average weekly wage in the private sector, along with the unemployment rate. This dataset aids in better understanding the factors influencing housing prices and allows for a more in-depth analysis of the real estate market.

    "**TotalNonfarmEmployees**" - reflects the total number of employees working outside the agricultural sector. This figure includes workers in industries such as manufacturing, construction, trade, transportation, education, healthcare, and other non-agricultural sectors, making it a key indicator of economic activity and employment in the region.

    "**HousingPriceIndex**" - represents a housing price index, reflecting changes in real estate prices in a specific region for a given month. This index can be used to analyze trends in the real estate market and assess the overall economic conditions.

    "**AnnualPerCapitaIncome**" - represents the annual per capita income, measured yearly. This indicator reflects the average income per resident in a specific region over a year, serving as an important measure of the population's economic well-being.

    "**QuarterlyTotalWages**" - represents the total quarterly wages, measured in dollars and adjusted for seasonal variations. This metric reflects the sum of wages paid by employers insured for unemployment insurance over a calendar quarter. It includes components such as vacation pay, bonuses, and tips.

    "**TotalRealGDPChainIndex**" - represents the total annual quantitative index of real GDP, encompassing data from all private sectors and the government. It is based on the Fisher chain-weighted method, tracking changes in production volume or expenditures while eliminating the effects of price changes. This index is useful for comparing the volumes of production or expenditures across different time periods.

    "**TotalGDP**" - describes the total Gross Domestic Product (GDP), measured in millions of dollars and calculated annually without seasonal adjustments. This metric encompasses all private sectors and the government, reflecting the market value of all final goods and services produced within an agglomeration. The agglomeration GDP represents the gross output minus intermediate costs, serving as a key indicator of economic activity and production volume.

    "**TotalRealGDP**" - represents the total real Gross Domestic Product, measured in millions of chained 2012 dollars and calculated annually without seasonal adjustments. This metric includes data from all private sectors and the government. The real GDP for agglomerations is a measure of the gross product of each agglomeration, adjusted for inflation, and based on national prices for goods and services produced in the agglomeration.

    "**StablePopulation**" - reflects the stable population, measured in thousands of people and calculated annually without seasonal adjustments. This metric represents population estimates as of July 1st each year, providing reliable data for analyzing demographic trends and planning purposes.

    "**EmployedIndividuals**" - represents the number of employed individuals, measured in persons without seasonal adjustment and updated monthly. The data are derived from the Current Population Survey (CPS). Employed individuals include those who did any paid work, owned a business or farm, worked 15 hours or more as unpaid workers in a family business, or were temporarily absent from their job for various reasons. This metric is important for analyzing employment levels and the economic activity of the population.

    "**AverageWeeklyWagePrivate**" - denotes the average weekly wage of private enterprise employees, measured in dollars per week and calculated quarterly without seasonal adjustment. It includes payments made by employers insured against unemployment over the quarter, encompassing vacation pay, bonuses, stock options, tips, and other components. This metric is important for assessing the level of wages in the private sector.

    "**UnemploymentRate**" - represents the unemployment rate, measured in percentages and calculated monthly without seasonal adjustments. This metric indicates the proportion of the unemployed within the total labor force, providing key information about the labor market's condition and the population's economic activity.

  11. A New Index to Measure U.S. Financial Conditions

    • catalog.data.gov
    Updated Dec 18, 2024
    + more versions
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    Board of Governors of the Federal Reserve System (2024). A New Index to Measure U.S. Financial Conditions [Dataset]. https://catalog.data.gov/dataset/a-new-index-to-measure-u-s-financial-conditions
    Explore at:
    Dataset updated
    Dec 18, 2024
    Dataset provided by
    Federal Reserve Board of Governors
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Description

    An index that can be used to gauge broad financial conditions and assess how these conditions are related to future economic growth. The index is broadly consistent with how the FRB/US model generally relates key financial variables to economic activity. The index aggregates changes in seven financial variables: the federal funds rate, the 10-year Treasury yield, the 30-year fixed mortgage rate, the triple-B corporate bond yield, the Dow Jones total stock market index, the Zillow house price index, and the nominal broad dollar index using weights implied by the FRB/US model and other models in use at the Federal Reserve Board. These models relate households' spending and businesses' investment decisions to changes in short- and long-term interest rates, house and equity prices, and the exchange value of the dollar, among other factors. These financial variables are weighted using impulse response coefficients (dynamic multipliers) that quantify the cumulative effects of unanticipated permanent changes in each financial variable on real gross domestic product (GDP) growth over the subsequent year. The resulting index is named Financial Conditions Impulse on Growth (FCI-G). One appealing feature of the FCI-G is that its movements can be used to measure whether financial conditions have tightened or loosened, to summarize how changes in financial conditions are associated with real GDP growth over the following year, or both.

  12. M

    World GDP

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). World GDP [Dataset]. https://www.macrotrends.net/global-metrics/countries/wld/world/gdp-gross-domestic-product
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    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    World, world
    Description
    World GDP for 2023 was 100.000 trillion US dollars, a 0% increase from 2022.
    <ul style='margin-top:20px;'>
    
    <li>World GDP for 2022 was <strong>100.000 trillion US dollars</strong>, a <strong>2.2% increase</strong> from 2021.</li>
    <li>World GDP for 2021 was <strong>97.848 trillion US dollars</strong>, a <strong>14.09% increase</strong> from 2020.</li>
    <li>World GDP for 2020 was <strong>85.763 trillion US dollars</strong>, a <strong>2.71% decline</strong> from 2019.</li>
    </ul>GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy 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 current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.
    
  13. M

    U.S. GDP Growth Rate

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). U.S. GDP Growth Rate [Dataset]. https://www.macrotrends.net/global-metrics/countries/usa/united-states/gdp-growth-rate
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description
    U.S. gdp growth rate for 2023 was 2.89%, a 0.38% increase from 2022.
    <ul style='margin-top:20px;'>
    
    <li>U.S. gdp growth rate for 2022 was <strong>2.51%</strong>, a <strong>3.54% decline</strong> from 2021.</li>
    <li>U.S. gdp growth rate for 2021 was <strong>6.06%</strong>, a <strong>8.22% increase</strong> from 2020.</li>
    <li>U.S. gdp growth rate for 2020 was <strong>-2.16%</strong>, a <strong>4.75% decline</strong> from 2019.</li>
    </ul>Annual percentage growth rate of GDP at market prices based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. GDP is the sum of gross value added by all resident producers in the economy 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.
    
  14. g

    Development Economics Data Group - Price level ratio of PPP conversion...

    • gimi9.com
    Updated May 7, 2025
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    (2025). Development Economics Data Group - Price level ratio of PPP conversion factor (GDP) to market exchange rate | gimi9.com [Dataset]. https://gimi9.com/dataset/worldbank_wb_wdi_pa_nus_pppc_rf/
    Explore at:
    Dataset updated
    May 7, 2025
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The price level ratio, or price level index, is the ratio of a purchasing power parity (PPP) conversion factor to the corresponding market exchange rate between two countries. For this series the base country is the United States. It provides a measure of the differences in price level between the country and the United States by indicating the number of units of the common currency (US dollars) needed to buy the same volume of the aggregation level in each country. At the level of GDP, the price level ratio provides a measure of the differences in the general price levels of countries.

  15. I

    Indonesia GDP Deflator Growth

    • ceicdata.com
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    CEICdata.com, Indonesia GDP Deflator Growth [Dataset]. https://www.ceicdata.com/en/indicator/indonesia/gdp-deflator-growth
    Explore at:
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2020 - Dec 1, 2022
    Area covered
    Indonesia
    Variables measured
    Gross Domestic Product
    Description

    Key information about Indonesia GDP Deflator Growth

    • Indonesia GDP deflator (implicit price deflator) increased 8.3 % in Dec 2022, compared with an increase of 10.7 % in the previous quarter.
    • Indonesia GDP Deflator Growth data is updated quarterly, available from Mar 1994 to Dec 2022, with an average rate of 7.9 %.
    • The data reached an all-time high of 92.7 % in Sep 1998 and a record low of -1.7 % in Jun 2020.

    CEIC calculates quarterly GDP Deflator Growth from quarterly Nominal and Real GDP. The Central Bureau of Statistics provides Nominal GDP in local currency and Real GDP in local currency, at 2010 prices. GDP Deflator Growth prior to Q1 2011 is calculated from Nominal GDP and Real GDP at 2000 prices, based on SNA 1993. GDP Deflator Growth prior to Q1 2001 is calculated from Nominal GDP and Real GDP at 1993 prices, based on SNA 1968.


    Related information about Indonesia GDP Deflator Growth

    • In the latest reports, Indonesia GDP expanded 5.0 % YoY in Dec 2022.
    • Its Nominal GDP reached 328.6 USD bn in Dec 2022.
    • Indonesia GDP Per Capita reached 4,783.3 USD in Dec 2022.
    • Its Gross Savings Rate was measured at 37.3 % in Dec 2022.

  16. Laos GDP Deflator Growth

    • ceicdata.com
    • dr.ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Laos GDP Deflator Growth [Dataset]. https://www.ceicdata.com/en/indicator/laos/gdp-deflator-growth
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2010 - Dec 1, 2021
    Area covered
    Laos
    Description

    Key information about Laos GDP Deflator Growth

    • Laos GDP deflator (implicit price deflator) increased 3.6 % in Dec 2021, compared with an increase of 2.8 % in the previous year.
    • Laos GDP Deflator Growth data is updated yearly, available from Dec 2003 to Dec 2021, with an average rate of 3.6 %.
    • The data reached an all-time high of 15.9 % in Dec 2006 and a record low of -5.6 % in Dec 2014.

    CEIC calculates GDP Deflator Growth from annual Nominal and Real GDP. Lao Statistics Bureau provides Nominal GDP in local currency and Real GDP in local currency, at 2012 prices. GDP Deflator Growth prior to 2013 is calculated from Nominal and Real GDP, based on SNA 1993.


    Related information about Laos GDP Deflator Growth

    • In the latest reports, Laos GDP expanded 3.5 % YoY in Dec 2021.
    • Its Nominal GDP reached 19.1 USD bn in Dec 2021.
    • Laos GDP Per Capita reached 2,595.0 USD in Dec 2021.
    • Its Gross Savings Rate was measured at 18.4 % in Dec 2016.

  17. e

    Gross domestic product (GDP) per capita — Belgium = 100

    • data.europa.eu
    csv, json
    Updated Jun 16, 2022
    + more versions
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    (2022). Gross domestic product (GDP) per capita — Belgium = 100 [Dataset]. https://data.europa.eu/data/datasets/209300-1
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    csv, jsonAvailable download formats
    Dataset updated
    Jun 16, 2022
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Belgium
    Description

    This key indicator is an index that compares the per capita gross domestic product (GDP) of Walloon provinces and boroughs with the regional value (the index is, by construction, equal to 100 for Wallonia). A value below 100 indicates a more unfavourable local situation while a value greater than 100 indicates a more favourable local situation. The data file also includes the index calculated from Belgium, the value of GDP per capita at current prices expressed in euro, the value of GDP at current prices expressed in millions of euros. This key indicator is an index that compares the per capita gross domestic product (GDP) of Walloon provinces and boroughs with the regional value (the index is, by construction, equal to 100 for Wallonia). A value below 100 indicates a more unfavourable local situation while a value greater than 100 indicates a more favourable local situation. The data file also includes the index calculated from Belgium, the value of GDP per capita at current prices expressed in euro, the value of GDP at current prices expressed in millions of euros.

  18. F

    Gross Domestic Product

    • fred.stlouisfed.org
    • trends.sourcemedium.com
    json
    Updated May 29, 2025
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    (2025). Gross Domestic Product [Dataset]. https://fred.stlouisfed.org/series/GDP
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    jsonAvailable download formats
    Dataset updated
    May 29, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

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

  19. Indexes of labour productivity and related measures, by business sector...

    • db.nomics.world
    Updated Jun 5, 2025
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    DBnomics (2025). Indexes of labour productivity and related measures, by business sector industry, seasonally adjusted [Dataset]. https://db.nomics.world/STATCAN/36100207
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    Dataset updated
    Jun 5, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Authors
    DBnomics
    Description

    Quarterly estimates of productivity in the total economy and in the industries are derived from a Fisher chained index of gross domestic product (GDP). The approach to measure the GDP in the total economy differs from the one that used in the estimates by industry. For the total economy, GDP is measured using the expenditure approach at market prices published by the Quarterly Income and Expenditure Accounts. For the estimates by industry, GDP is measured using the value added approach at basic prices published by the Industry Accounts Division. This was the Fisher chained index in the case of years for which final input-output tables are available. For the most current years or annual post-benchmarks, the real GDP is based on a fixed-weight Laspeyres chained index formula. GDP estimates in the productivity measures for the businesses producing services and for real estate, and rental and leasing exclude the rental value of owner occupied dwellings. The estimate of the total number of jobs covers four main categories: employee jobs, work owner of an unincorporated business, own account self-employment, and unpaid family jobs. The last category is found mainly in sectors where family firms are important (agriculture and retail trade, in particular). Jobs data are consistent with the System of National Accounts. This is the quarterly average of hours worked for jobs in all categories. The number of hours worked in all jobs is the quarterly average for all jobs times the annual average hours worked in all jobs. Hours worked data are consistent with the System of National Accounts. According to the retained definition, hours worked means the total number of hours that a person spends working, whether paid or not. In general, this includes regular and overtime hours, breaks, travel time, training in the workplace and time lost in brief work stoppages where workers remain at their posts. On the other hand, time lost due to strikes, lockouts, annual vacation, public holidays, sick leave, maternity leave or leave for personal needs are not included in total hours worked. Labour productivity is the ratio between real GDP and hours worked. For the estimates of productivity in the total economy, a Fisher chain index of GDP at market prices is used as measure of the output. On the other hand, in the quarterly productivity estimates for the industries, a Fisher chain index of GDP at basic prices for each industry is used as measure of the output up to the last year benchmark for which final input-output tables are available, after that by a fixed-weight volume Laspeyres chained index formula for the most recent years. The ratio between total compensation for all jobs, and the number of hours worked. The term hourly compensation" is often used to refer to the total compensation per hour worked." This measures the cost of labour input required to produce one unit of output, and equals labour compensation in current dollars divided by the real output. It is often calculated as the ratio of labour compensation per hour worked and labour productivity. Unit labour cost increases when labour compensation per hour worked increases more rapidly than labour productivity. It is widely used to measure inflation pressures arising from wage growth. The measure of real value added used in the labour unit cost estimation is based on a Fisher chain index excluding the rental value of owner occupied dwellings. The North American Industry Classification System (NAICS) is an industry classification system developed by the statistical agencies of Canada, Mexico and the United States. Created against the background of the North American Free Trade Agreement, it is designed to provide common definitions of the industrial structure of the three countries and a common statistical framework to facilitate the analysis of the three economies. NAICS is based on supply side or production oriented principles, to ensure that industrial data, classified to NAICS, is suitable for the analysis of production related issues such as industrial performance. Since 1997, the System of National Accounts' (SNA) input-output industry classification system is based on NAICS. In the National Accounts industries, the levels of the different classification systems were chosen so as to provide the most detail possible in order to maximise continuity with the previous classification systems used in Statistics Canada since 1961. Therefore, the greatest level of detail that is available over time occurs at the L level of aggregation, which corresponds, to 105 industries. This L level can also be aggregated to the M level (medium - 56 industries) and to the S level (small - 21 industries). This combines the business establishments of the North American Industry Classification System (NAICS) codes 11, 21, 22, 23, 31-33. This combines the business establishments of the North American Industry Classification System (NAICS) codes 41, 44-45, 48-49, 51, 52, 53, 54, 55, 56, 61, 62, 71, 72, 81. The Gross Domestic Product (GDP) used to measure productivity excludes rent value for owner occupied dwellings from the business service producing industries. This combines the business establishments of the North American Industry Classification System (NAICS) code 53. The gross domestic product (GDP) used to measure productivity excludes rent value for owner occupied dwellings from this industry code. This combines the business establishments of the North American Industry Classification System (NAICS) codes 61, 62, 81. This combines the part of non-business establishments of the North American Industry Classification System (NAICS) codes 11-91, but also including the owner occupied dwellings industry and the private households. Total economic activities that have been realized within the country. That covers both business and non-business sectors. Unit labour cost in United States dollars is the equivalent of the ratio of Canadian unit labour cost to the exchange rate. This latter corresponds to the United States dollar value expressed in Canadian dollars. This combines the business establishments of the North American Industry Classification System (NAICS) codes 52 and 55.

  20. c

    Purchasing power adjusted GDP per capita

    • opendata.marche.camcom.it
    • service.tib.eu
    json
    Updated Jul 10, 2025
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    ESTAT (2025). Purchasing power adjusted GDP per capita [Dataset]. https://opendata.marche.camcom.it/json-browser.htm?dse=sdg_10_10?lastTimePeriod=1
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    ESTAT
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2024
    Area covered
    Variables measured
    Percentage
    Description

    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

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(2025). Gross Domestic Product: Implicit Price Deflator [Dataset]. https://fred.stlouisfed.org/series/GDPDEF

Gross Domestic Product: Implicit Price Deflator

GDPDEF

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239 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Jun 26, 2025
License

https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

Description

Graph and download economic data for Gross Domestic Product: Implicit Price Deflator (GDPDEF) from Q1 1947 to Q1 2025 about implicit price deflator, headline figure, inflation, GDP, and USA.

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