100+ datasets found
  1. T

    United States GDP Growth Rate

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 30, 2025
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    TRADING ECONOMICS (2025). United States GDP Growth Rate [Dataset]. https://tradingeconomics.com/united-states/gdp-growth
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Jul 30, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jun 30, 1947 - Jun 30, 2025
    Area covered
    United States
    Description

    The Gross Domestic Product (GDP) in the United States expanded 3 percent in the second quarter of 2025 over the previous quarter. This dataset provides the latest reported value for - United States GDP Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  2. Gross domestic product (GDP) growth rate in the United States 2030

    • statista.com
    Updated May 20, 2025
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    Statista (2025). Gross domestic product (GDP) growth rate in the United States 2030 [Dataset]. https://www.statista.com/statistics/263614/gross-domestic-product-gdp-growth-rate-in-the-united-states/
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    Dataset updated
    May 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The statistic shows the growth rate of the real gross domestic product (GDP) in the United States from 2020 to 2024, with projections up until 2030. GDP refers to the total market value of all goods and services that are produced within a country per year. It is an important indicator of the economic strength of a country. Real GDP is adjusted for price changes and is therefore regarded as a key indicator for economic growth. In 2024, the growth of the real gross domestic product in the United States was around 2.8 percent compared to the previous year. See U.S. GDP per capita and the US GDP for more information. Real gross domestic product (GDP) of the United States The gross domestic product (GDP) of a country is a crucial economic indicator, representing the market value of the total goods and services produced and offered by a country within a year, thus serving as one of the indicators of a country’s economic state. The real GDP of a country is defined as its gross domestic product adjusted for inflation. An international comparison of economic growth rates has ranked the United States alongside other major global economic players such as China and Russia in terms of real GDP growth. With further growth expected during the course of the coming years, as consumer confidence continues to improve, experts predict that the worst is over for the United States economy. A glance at US real GDP figures reveals an overall increase in growth, with sporadic slips into decline; the last recorded decline took place in Q1 2011. All in all, the economy of the United States can be considered ‘well set’, with exports and imports showing positive results. Apart from this fact, the United States remains one of the world’s leading exporting countries, having been surpassed only by China and tailed by Germany. It is also ranked first among the top global importers. Despite this, recent surveys revealing Americans’ assessments of the U.S. economy have yielded less optimistic results. Interestingly enough, this consensus has been mutual across the social and environmental spectrum. On the other hand, GDP is often used as an indicator for the standard of living in a country – and most Americans seem quite happy with theirs.

  3. U.S. real GDP growth rate 1990-2023

    • statista.com
    • ai-chatbox.pro
    Updated Jul 5, 2024
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    Statista (2024). U.S. real GDP growth rate 1990-2023 [Dataset]. https://www.statista.com/statistics/188165/annual-gdp-growth-of-the-united-states-since-1990/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023 the real gross domestic product (GDP) of the United States increased by 2.5 percent compared to 2022. This rate of annual growth indicates a return to economy normalcy after 2020 saw a dramatic decline in the GDP growth rate due to the the coronavirus (COVID-19) pandemic, and high growth in 2021.

    What does GDP growth mean?

    Essentially, the annual GDP of the U.S. is the monetary value of all goods and services produced within the country over a given year. On the surface, an increase in GDP therefore means that more goods and services have been produced between one period than another. In the case of annualized GDP, it is compared to the previous year. In 2023, for example, the U.S. GDP grew 2.5 percent compared to 2022.

    Countries with highest GDP growth rate

    Although the United States has by far the largest GDP of any country, it does not have the highest GDP growth, nor the highest GDP at purchasing power parity. In 2021, Libya had the highest growth in GDP, growing more than 177 percent compared to 2020. Furthermore, Luxembourg had the highest GDP per capita at purchasing power parity, a better measure of living standards than nominal or real GDP.

  4. 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
    Explore at:
    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.

  5. U.S. real GDP growth by quarter Q2 2013- Q1 2025

    • statista.com
    Updated Dec 15, 2022
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    Statista (2022). U.S. real GDP growth by quarter Q2 2013- Q1 2025 [Dataset]. https://www.statista.com/statistics/188185/percent-change-from-preceding-period-in-real-gdp-in-the-us/
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    Dataset updated
    Dec 15, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  6. T

    Indonesia GDP Annual Growth Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 5, 2025
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    TRADING ECONOMICS (2025). Indonesia GDP Annual Growth Rate [Dataset]. https://tradingeconomics.com/indonesia/gdp-growth-annual
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    json, xml, excel, csvAvailable download formats
    Dataset updated
    May 5, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Sep 30, 2000 - Mar 31, 2025
    Area covered
    Indonesia
    Description

    The Gross Domestic Product (GDP) in Indonesia expanded 4.87 percent in the first quarter of 2025 over the same quarter of the previous year. This dataset provides - Indonesia GDP Annual Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  7. T

    China GDP Annual Growth Rate

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 15, 2025
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    TRADING ECONOMICS (2025). China GDP Annual Growth Rate [Dataset]. https://tradingeconomics.com/china/gdp-growth-annual
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset updated
    Jul 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 1989 - Jun 30, 2025
    Area covered
    China
    Description

    The Gross Domestic Product (GDP) in China expanded 5.20 percent in the second quarter of 2025 over the same quarter of the previous year. This dataset provides - China GDP Annual Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  8. Annual GDP growth for the United States 1930-2022

    • statista.com
    Updated Jul 4, 2024
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    Statista (2024). Annual GDP growth for the United States 1930-2022 [Dataset]. https://www.statista.com/statistics/996758/rea-gdp-growth-united-states-1930-2019/
    Explore at:
    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The Covid-19 pandemic saw growth fall by 2.2 percent, compared with an increase of 2.5 percent the year before. The last time the real GDP growth rates fell by a similar level was during the Great Recession in 2009, and the only other time since the Second World War where real GDP fell by more than one percent was in the early 1980s recession. The given records began following the Wall Street Crash in 1929, and GDP growth fluctuated greatly between the Great Depression and the 1950s, before growth became more consistent.

  9. T

    India GDP Annual Growth Rate

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 30, 2025
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    TRADING ECONOMICS (2025). India GDP Annual Growth Rate [Dataset]. https://tradingeconomics.com/india/gdp-growth-annual
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 1951 - Mar 31, 2025
    Area covered
    India
    Description

    The Gross Domestic Product (GDP) in India expanded 7.40 percent in the first quarter of 2025 over the same quarter of the previous year. This dataset provides - India GDP Annual Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  10. w

    Global Financial Inclusion (Global Findex) Database 2017 - Afghanistan,...

    • microdata.worldbank.org
    • catalog.ihsn.org
    Updated Jun 13, 2022
    + more versions
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    Development Research Group, Finance and Private Sector Development Unit (2022). Global Financial Inclusion (Global Findex) Database 2017 - Afghanistan, Albania, Algeria...and 133 more [Dataset]. https://microdata.worldbank.org/index.php/catalog/3324
    Explore at:
    Dataset updated
    Jun 13, 2022
    Dataset authored and provided by
    Development Research Group, Finance and Private Sector Development Unit
    Time period covered
    2017
    Area covered
    Algeria...and 133 more, Afghanistan, Albania
    Description

    Abstract

    Financial inclusion is critical in reducing poverty and achieving inclusive economic growth. When people can participate in the financial system, they are better able to start and expand businesses, invest in their children’s education, and absorb financial shocks. Yet prior to 2011, little was known about the extent of financial inclusion and the degree to which such groups as the poor, women, and rural residents were excluded from formal financial systems.

    By collecting detailed indicators about how adults around the world manage their day-to-day finances, the Global Findex allows policy makers, researchers, businesses, and development practitioners to track how the use of financial services has changed over time. The database can also be used to identify gaps in access to the formal financial system and design policies to expand financial inclusion.

    Geographic coverage

    See Methodology document for country-specific geographic coverage details.

    Universe

    The target population is the civilian, non-institutionalized population 15 years and above.

    Kind of data

    Observation data/ratings [obs]

    Sampling procedure

    The indicators in the 2017 Global Findex database are drawn from survey data covering almost 150,000 people in 144 economies-representing more than 97 percent of the world’s population (see Table A.1 of the Global Findex Database 2017 Report for a list of the economies included). The survey was carried out over the 2017 calendar year by Gallup, Inc., as part of its Gallup World Poll, which since 2005 has annually conducted surveys of approximately 1,000 people in each of more than 160 economies and in over 150 languages, using randomly selected, nationally representative samples. The target population is the entire civilian, noninstitutionalized population age 15 and above. Interview procedure Surveys are conducted face to face in economies where telephone coverage represents less than 80 percent of the population or where this is the customary methodology. In most economies the fieldwork is completed in two to four weeks.

    In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used.

    Respondents are randomly selected within the selected households. Each eligible household member is listed and the handheld survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer’s gender.

    In economies where telephone interviewing is employed, random digit dialing or a nationally representative list of phone numbers is used. In most economies where cell phone penetration is high, a dual sampling frame is used. Random selection of respondents is achieved by using either the latest birthday or household enumeration method. At least three attempts are made to reach a person in each household, spread over different days and times of day.

    Mode of data collection

    Other [oth]

    Research instrument

    The questionnaire was designed by the World Bank, in conjunction with a Technical Advisory Board composed of leading academics, practitioners, and policy makers in the field of financial inclusion. The Bill and Melinda Gates Foundation and Gallup Inc. also provided valuable input. The questionnaire was piloted in multiple countries, using focus groups, cognitive interviews, and field testing. The questionnaire is available in more than 140 languages upon request.

    Questions on cash on delivery, saving using an informal savings club or person outside the family, domestic remittances, and agricultural payments are only asked in developing economies and few other selected countries. The question on mobile money accounts was only asked in economies that were part of the Mobile Money for the Unbanked (MMU) database of the GSMA at the time the interviews were being held.

    Sampling error estimates

    Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar, and Jake Hess. 2018. The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution. Washington, DC: World Bank

  11. GDP growth rate SEA 2018-2026, by country

    • statista.com
    Updated Jul 2, 2025
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    Statista (2025). GDP growth rate SEA 2018-2026, by country [Dataset]. https://www.statista.com/statistics/621011/forecasted-gross-domestic-product-growth-rate-in-southeast-asia-2017/
    Explore at:
    Dataset updated
    Jul 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Asia
    Description

    In 2024, the real gross domestic product (GDP) in Vietnam grew by approximately **** percent, marking the highest growth rate in Southeast Asia. In comparison, Myanmar's real GDP growth rate dropped by **** percent. Southeast Asia, a tapestry of economic and cultural complexity Historically a critical component of global trade, Southeast Asia is a diverse region with heterogeneous economies. The region comprises ** countries in total. While Singapore is a highly developed country economy and Brunei has a relatively high GDP per capita, the rest of the Southeast Asian countries are characterized by lower GDPs per capita and have yet to overcome the middle-income trap. Malaysia is one of these countries, having reached the middle-income level for many decades but yet to grow incomes proportionally to its economic development. Nevertheless, Southeast Asia’s young population will further drive economic growth across the region’s markets. ASEAN’s economic significance Aiming to promote economic growth, social progress, cultural development, and regional stability, all Southeast Asian countries except for Timor-Leste are part of the political and economic union Association of Southeast Asian Nations (ASEAN). Even though many concerns surround the union, ASEAN has avoided trade conflicts and is one of the largest and most dynamic trade zones globally. Factors such as the growing young population, high GDP growth, a largely positive trade balance, and exemplary regional integration hold great potential for future economic development in Southeast Asia.

  12. F

    Real gross domestic product per capita

    • fred.stlouisfed.org
    json
    Updated Jul 30, 2025
    + more versions
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    (2025). Real gross domestic product per capita [Dataset]. https://fred.stlouisfed.org/series/A939RX0Q048SBEA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 30, 2025
    License

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

    Description

    Graph and download economic data for Real gross domestic product per capita (A939RX0Q048SBEA) from Q1 1947 to Q2 2025 about per capita, real, GDP, and USA.

  13. e

    GDP, production and spending; quarters, values, no, 1995-2017

    • data.europa.eu
    atom feed, json
    Updated Jun 11, 2024
    + more versions
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    (2024). GDP, production and spending; quarters, values, no, 1995-2017 [Dataset]. https://data.europa.eu/data/datasets/3026-bbp-productie-en-bestedingen-kwartalen-waarden-nr-1995-2017?locale=en
    Explore at:
    json, atom feedAvailable download formats
    Dataset updated
    Jun 11, 2024
    License

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

    Description

    This table contains quarterly and annual data on the production components, the categories of expenditure and the income components of the Netherlands’ gross domestic product. Gross domestic product (GDP) is an important macroeconomic concept. The volume development of gross domestic product is the measure of a country’s economic growth. It is common practice in the national accounts and therefore also in the quarterly accounts to approach gross domestic product from three points of view, from production, from spending and from income.

    In addition, this table also shows the build-up of the national balance of claims from GDP. Finally, detailed data of variables from the first four topics are available. These are presented under “details”. The macroeconomic variables mentioned above are presented in the following quantities:

    — Value in actual prices, millions of euros — Value in actual prices, seasonally adjusted, millions of euros — Value of price level 2010=100, millions of euros — Value of price level 2010=100, seasonally adjusted, million euros

    Data available from: Annual data and quarterly data from 1995 to 2018-I.

    Status of the figures: The data for the period 1995-2014 are final. Data from 2015, 2016, 2017 and 2018 have the status for now. As this table has been discontinued, the data will no longer be definitive.

    Changes as of 22 June 2018 None, this table has been discontinued. The Central Statistical Office has recently carried out a revision of the national accounts. New statistical sources and estimation methods are used. This table containing data for revision has been replaced by Table Bbp, production and expenditure; quarters, values, national accounts. For additional information see paragraph 3.

    When are new figures coming? No longer applicable.

  14. Armenia AM: Survey Mean Consumption or Income per Capita: Total Population:...

    • ceicdata.com
    Updated Feb 15, 2022
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    CEICdata.com (2022). Armenia AM: Survey Mean Consumption or Income per Capita: Total Population: Annualized Average Growth Rate [Dataset]. https://www.ceicdata.com/en/armenia/social-poverty-and-inequality/am-survey-mean-consumption-or-income-per-capita-total-population-annualized-average-growth-rate
    Explore at:
    Dataset updated
    Feb 15, 2022
    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, 2018
    Area covered
    Armenia
    Description

    Armenia AM: Survey Mean Consumption or Income per Capita: Total Population: Annualized Average Growth Rate data was reported at 2.400 % in 2018. Armenia AM: Survey Mean Consumption or Income per Capita: Total Population: Annualized Average Growth Rate data is updated yearly, averaging 2.400 % from Dec 2018 (Median) to 2018, with 1 observations. The data reached an all-time high of 2.400 % in 2018 and a record low of 2.400 % in 2018. Armenia AM: Survey Mean Consumption or Income per Capita: Total Population: Annualized Average Growth Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Armenia – Table AM.World Bank.WDI: Social: Poverty and Inequality. The growth rate in the welfare aggregate of the total population is computed as the annualized average growth rate in per capita real consumption or income of the total population in the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2017 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered. The coverage and quality of the 2017 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2017 exercise of the International Comparison Program. See the Poverty and Inequality Platform for detailed explanations.;World Bank, Global Database of Shared Prosperity (GDSP) (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).;;The comparability of welfare aggregates (consumption or income) for the chosen years T0 and T1 is assessed for every country. If comparability across the two surveys is a major concern for a country, the selection criteria are re-applied to select the next best survey year(s). Annualized growth rates are calculated between the survey years, using a compound growth formula. The survey years defining the period for which growth rates are calculated and the type of welfare aggregate used to calculate the growth rates are noted in the footnotes.

  15. i

    Global Financial Inclusion (Global Findex) Database 2017 - Bosnia and...

    • catalog.ihsn.org
    • microdata.worldbank.org
    Updated Mar 29, 2019
    + more versions
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    Development Research Group, Finance and Private Sector Development Unit (2019). Global Financial Inclusion (Global Findex) Database 2017 - Bosnia and Herzegovina [Dataset]. https://catalog.ihsn.org/catalog/7821
    Explore at:
    Dataset updated
    Mar 29, 2019
    Dataset authored and provided by
    Development Research Group, Finance and Private Sector Development Unit
    Time period covered
    2017
    Area covered
    Bosnia and Herzegovina
    Description

    Abstract

    Financial inclusion is critical in reducing poverty and achieving inclusive economic growth. When people can participate in the financial system, they are better able to start and expand businesses, invest in their children’s education, and absorb financial shocks. Yet prior to 2011, little was known about the extent of financial inclusion and the degree to which such groups as the poor, women, and rural residents were excluded from formal financial systems.

    By collecting detailed indicators about how adults around the world manage their day-to-day finances, the Global Findex allows policy makers, researchers, businesses, and development practitioners to track how the use of financial services has changed over time. The database can also be used to identify gaps in access to the formal financial system and design policies to expand financial inclusion.

    Geographic coverage

    National coverage

    Universe

    The target population is the civilian, non-institutionalized population 15 years and above.

    Kind of data

    Observation data/ratings [obs]

    Sampling procedure

    The indicators in the 2017 Global Findex database are drawn from survey data covering almost 150,000 people in 144 economies-representing more than 97 percent of the world's population (see Table A.1 of the Global Findex Database 2017 Report for a list of the economies included). The survey was carried out over the 2017 calendar year by Gallup, Inc., as part of its Gallup World Poll, which since 2005 has annually conducted surveys of approximately 1,000 people in each of more than 160 economies and in over 150 languages, using randomly selected, nationally representative samples. The target population is the entire civilian, noninstitutionalized population age 15 and above. Interview procedure Surveys are conducted face to face in economies where telephone coverage represents less than 80 percent of the population or where this is the customary methodology. In most economies the fieldwork is completed in two to four weeks.

    In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used.

    Respondents are randomly selected within the selected households. Each eligible household member is listed and the handheld survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

    In economies where telephone interviewing is employed, random digit dialing or a nationally representative list of phone numbers is used. In most economies where cell phone penetration is high, a dual sampling frame is used. Random selection of respondents is achieved by using either the latest birthday or household enumeration method. At least three attempts are made to reach a person in each household, spread over different days and times of day.

    Sample size was 1000.

    Mode of data collection

    Computer Assisted Personal Interview [capi]

    Research instrument

    The questionnaire was designed by the World Bank, in conjunction with a Technical Advisory Board composed of leading academics, practitioners, and policy makers in the field of financial inclusion. The Bill and Melinda Gates Foundation and Gallup Inc. also provided valuable input. The questionnaire was piloted in multiple countries, using focus groups, cognitive interviews, and field testing. The questionnaire is available in more than 140 languages upon request.

    Questions on cash on delivery, saving using an informal savings club or person outside the family, domestic remittances, and agricultural payments are only asked in developing economies and few other selected countries. The question on mobile money accounts was only asked in economies that were part of the Mobile Money for the Unbanked (MMU) database of the GSMA at the time the interviews were being held.

    Sampling error estimates

    Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar, and Jake Hess. 2018. The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution. Washington, DC: World Bank

  16. T

    Japan GDP Growth Rate

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 9, 2025
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    TRADING ECONOMICS (2025). Japan GDP Growth Rate [Dataset]. https://tradingeconomics.com/japan/gdp-growth
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    json, csv, xml, excelAvailable download formats
    Dataset updated
    Jun 9, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jun 30, 1980 - Mar 31, 2025
    Area covered
    Japan
    Description

    The Gross Domestic Product (GDP) in Japan stagnated 0 percent in the first quarter of 2025 over the previous quarter. This dataset provides - Japan GDP Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  17. w

    Global Financial Inclusion (Global Findex) Database 2017 - Mexico

    • microdata.worldbank.org
    • catalog.ihsn.org
    Updated Oct 31, 2018
    + more versions
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    Development Research Group, Finance and Private Sector Development Unit (2018). Global Financial Inclusion (Global Findex) Database 2017 - Mexico [Dataset]. https://microdata.worldbank.org/index.php/catalog/3288
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    Dataset updated
    Oct 31, 2018
    Dataset authored and provided by
    Development Research Group, Finance and Private Sector Development Unit
    Time period covered
    2017
    Area covered
    Mexico
    Description

    Abstract

    Financial inclusion is critical in reducing poverty and achieving inclusive economic growth. When people can participate in the financial system, they are better able to start and expand businesses, invest in their children’s education, and absorb financial shocks. Yet prior to 2011, little was known about the extent of financial inclusion and the degree to which such groups as the poor, women, and rural residents were excluded from formal financial systems.

    By collecting detailed indicators about how adults around the world manage their day-to-day finances, the Global Findex allows policy makers, researchers, businesses, and development practitioners to track how the use of financial services has changed over time. The database can also be used to identify gaps in access to the formal financial system and design policies to expand financial inclusion.

    Geographic coverage

    National coverage

    Analysis unit

    Individuals

    Universe

    The target population is the civilian, non-institutionalized population 15 years and above.

    Kind of data

    Observation data/ratings [obs]

    Sampling procedure

    The indicators in the 2017 Global Findex database are drawn from survey data covering almost 150,000 people in 144 economies-representing more than 97 percent of the world's population (see Table A.1 of the Global Findex Database 2017 Report for a list of the economies included). The survey was carried out over the 2017 calendar year by Gallup, Inc., as part of its Gallup World Poll, which since 2005 has annually conducted surveys of approximately 1,000 people in each of more than 160 economies and in over 150 languages, using randomly selected, nationally representative samples. The target population is the entire civilian, noninstitutionalized population age 15 and above. Interview procedure Surveys are conducted face to face in economies where telephone coverage represents less than 80 percent of the population or where this is the customary methodology. In most economies the fieldwork is completed in two to four weeks.

    In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used.

    Respondents are randomly selected within the selected households. Each eligible household member is listed and the handheld survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

    In economies where telephone interviewing is employed, random digit dialing or a nationally representative list of phone numbers is used. In most economies where cell phone penetration is high, a dual sampling frame is used. Random selection of respondents is achieved by using either the latest birthday or household enumeration method. At least three attempts are made to reach a person in each household, spread over different days and times of day.

    The sample size was 1000.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The questionnaire was designed by the World Bank, in conjunction with a Technical Advisory Board composed of leading academics, practitioners, and policy makers in the field of financial inclusion. The Bill and Melinda Gates Foundation and Gallup Inc. also provided valuable input. The questionnaire was piloted in multiple countries, using focus groups, cognitive interviews, and field testing. The questionnaire is available in more than 140 languages upon request.

    Questions on cash on delivery, saving using an informal savings club or person outside the family, domestic remittances, and agricultural payments are only asked in developing economies and few other selected countries. The question on mobile money accounts was only asked in economies that were part of the Mobile Money for the Unbanked (MMU) database of the GSMA at the time the interviews were being held.

    Sampling error estimates

    Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar, and Jake Hess. 2018. The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution. Washington, DC: World Bank

  18. Armenia AM: Survey Mean Consumption or Income per Capita: Bottom 40% of...

    • ceicdata.com
    Updated Oct 9, 2014
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    CEICdata.com (2014). Armenia AM: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate [Dataset]. https://www.ceicdata.com/en/armenia/social-poverty-and-inequality/am-survey-mean-consumption-or-income-per-capita-bottom-40-of-population-annualized-average-growth-rate
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    Dataset updated
    Oct 9, 2014
    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, 2018
    Area covered
    Armenia
    Description

    Armenia AM: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data was reported at 1.260 % in 2018. Armenia AM: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data is updated yearly, averaging 1.260 % from Dec 2018 (Median) to 2018, with 1 observations. The data reached an all-time high of 1.260 % in 2018 and a record low of 1.260 % in 2018. Armenia AM: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Armenia – Table AM.World Bank.WDI: Social: Poverty and Inequality. The growth rate in the welfare aggregate of the bottom 40% is computed as the annualized average growth rate in per capita real consumption or income of the bottom 40% of the population in the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2017 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered. The coverage and quality of the 2017 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2017 exercise of the International Comparison Program. See the Poverty and Inequality Platform for detailed explanations.;World Bank, Global Database of Shared Prosperity (GDSP) (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).;;The comparability of welfare aggregates (consumption or income) for the chosen years T0 and T1 is assessed for every country. If comparability across the two surveys is a major concern for a country, the selection criteria are re-applied to select the next best survey year(s). Annualized growth rates are calculated between the survey years, using a compound growth formula. The survey years defining the period for which growth rates are calculated and the type of welfare aggregate used to calculate the growth rates are noted in the footnotes.

  19. DCMS Sectors Economic Estimates 2018: Regional GVA

    • gov.uk
    Updated May 20, 2020
    + more versions
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    Department for Digital, Culture, Media & Sport (2020). DCMS Sectors Economic Estimates 2018: Regional GVA [Dataset]. https://www.gov.uk/government/statistics/dcms-sectors-economic-estimates-2018-regional-gva
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    Dataset updated
    May 20, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Digital, Culture, Media & Sport
    Description

    Headline Findings

    The UK regions with the biggest increase in DCMS Sector (excluding Tourism and Civil Society) GVA were London and the East Midlands which grew by 53.3% and 31.4%, respectively, in real terms between 2010 and 2018.

    East Midlands, Scotland, West Midlands and Yorkshire and the Humber saw the highest growth in DCMS sectors GVA since 2017 (7.0%, 6.8%, 6.0%, and 6.0% respectively).

    Activity in DCMS sectors was more concentrated in London than the general economy; 39.6% of DCMS sector GVA was accounted for in London compared to 23.6% for the total UK economy.

    GVA from the Creative Industries, Cultural, Digital and Telecoms sectors was largely concentrated in London and the South East. By contrast, GVA from the Sport and Gambling sectors was distributed more evenly across the UK, although these sectors are much smaller in value.

    About

    These Economic Estimates are Official Statistics used to provide an estimate of Gross Value Added (GVA) in the DCMS Sectors.

    Content

    These statistics cover the contributions of the following DCMS sectors to the UK economy;

    • Creative Industries
    • Cultural Sector
    • Digital Sector
    • Gambling
    • Sport
    • Telecoms

    A definition for each sector is available in the associated https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/829114/DCMS_Sectors_Economic_Estimates_-_Methodology.pdf" class="govuk-link">methodology note along with details of methods and data limitations.

    Released

    20 May 2020

    Feedback and consultation

    DCMS aims to continuously improve the quality of estimates and better meet user needs. DCMS welcomes feedback on this release. Feedback should be sent to DCMS via email at evidence@culture.gov.uk.

    The UK Statistics Authority

    This release is published in accordance with the Code of Practice for Statistics, as produced by the UK Statistics Authority. The Authority has the overall objective of promoting and safeguarding the production and publication of official statistics that serve the public good. It monitors and reports on all official statistics, and promotes good practice in this area.

    The responsible statisticians for this release is Ziga Dernac. For further details about the estimates, or to be added to a distribution list for future updates, please email us at evidence@culture.gov.uk.

    Pre-release access

    The document above contains a list of ministers and officials who have received privileged early access to this release. In line with best practice, the list has been kept to a minimum and those given access for briefing purposes had a maximum of 24 hours.

  20. T

    Egypt GDP Growth Rate

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 7, 2013
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    TRADING ECONOMICS (2013). Egypt GDP Growth Rate [Dataset]. https://tradingeconomics.com/egypt/gdp-growth
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    May 7, 2013
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jun 30, 1992 - Sep 30, 2021
    Area covered
    Egypt
    Description

    The Gross Domestic Product (GDP) in Egypt expanded 9.80 percent in the third quarter of 2021 over the previous quarter. This dataset provides - Egypt GDP Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Share
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TRADING ECONOMICS (2025). United States GDP Growth Rate [Dataset]. https://tradingeconomics.com/united-states/gdp-growth

United States GDP Growth Rate

United States GDP Growth Rate - Historical Dataset (1947-06-30/2025-06-30)

Explore at:
103 scholarly articles cite this dataset (View in Google Scholar)
json, excel, csv, xmlAvailable download formats
Dataset updated
Jul 30, 2025
Dataset authored and provided by
TRADING ECONOMICS
License

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

Time period covered
Jun 30, 1947 - Jun 30, 2025
Area covered
United States
Description

The Gross Domestic Product (GDP) in the United States expanded 3 percent in the second quarter of 2025 over the previous quarter. This dataset provides the latest reported value for - United States GDP Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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