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TwitterThis dataset provides a comprehensive view of global economic trends, combining multiple essential indicators for analysis and research. The data focuses on the period from 2020 to 2023 and includes two key components:
Scope: Yearly GDP per capita (in USD) and inflation rates per countries over the four-year period.
Scope: The total population of each country at the end of 2023.
The dataset is meticulously compiled from trusted sources:
GDP per capita and inflation data are sourced from the World Bank national accounts data and OECD National Accounts data files.
Population data is derived from the World Bank Data Catalog (Population Ranking).
Potential Applications
Analyze the impact of inflation on economic growth during and after the pandemic.
Examine relationships between GDP per capita and population size.
Compare economic indicators across countries and regions.
Key Features: Clean, structured, and ready-to-use format.
Country-level granularity for detailed comparisons.
Suitable for trend analysis, visualizations, and predictive modeling.
Licensing: This dataset is licensed under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license. You are free to copy, modify, and distribute the data for any purpose, including commercial use, as long as appropriate credit is given to the World Bank.
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TwitterNovember 2024: For DCMS sector data, please see: Economic Estimates: Employment and APS earnings in DCMS sectors, January 2023 to December 2023
For Digital sector data, please see: Economic Estimates: Employment in DCMS sectors and Digital sector, January 2022 to December 2022
October 2024: Following the identification of a minor error, the Labour Force Survey, July to September 2016 to 2020 data tables have been re-published for the digital sector. This affects data for 2019 only - data for 2016 and 2020 are not affected.
Updated estimates for DCMS sectors have been re-published.
Economic Estimates: Employment in DCMS sectors, April 2022 to March 2024.
Although the original versions of the tables were published before the Machinery of Government changes in February 2023, these corrected tables have been re-published for DCMS sectors and the digital sector separately. This is because the digital sector is now a Department for Science, Innovation and Technology (DSIT) responsibility.
The Economic Estimates in this release are a combination of National, Official, and experimental statistics used to provide an estimate of the contribution of DCMS Sectors to the UK economy.
These statistics cover the economic contribution of the following DCMS sectors to the UK economy:
Tourism and Civil Society are included where possible.
Users should note that there is overlap between DCMS sector definitions and that the Telecoms sector sits wholly within the Digital sector.
The release also includes estimates for the Audio Visual sector and Computer Games sector for some measures.
A definition for each sector is available in the associated methodology note along with details of methods and data limitations.
Following updates to the underlying methodology used to produce the estimates for Weekly Gross Pay, Annual Gross Pay and the Gender Pay Gap, we have published revised estimates for employee earnings in the DCMS Sectors and Digital Sector from 2016 to 2020.
We’ve published revised estimates for Weekly Gross Pay, Annual Gross Pay and the Gender Pay Gap. This was necessary for a number of reasons, including:
These statistics were first published on 23 December 2021
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@dcms.gov.uk.
This release is published in accordance with the Code of Practice for Statistics (2018) produced by the UK Statistics Authority (UKSA). The UKSA 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 accompanying pre-release access document lists 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.
Responsible statistician: Rachel Moyce.
For any queries or feedback, contact <a href="mailto
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TwitterIn a survey from **************, ** percent of Swedes stated that their household's economy has worsened, compared to the same period the previous year. Furthermore, **** percent deemed their economy much worse. In comparison, ** percent of the respondents stated to have a better economy, while the majority, ** percent, deemed it unchanged.
As a consequence of the coronavirus outbreak, the Swedish economy, like most other countries, has been heavily affected. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Fact and Figures page.
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This dataset provides GDP data for all recognized countries from 2020 to 2024 (disputed territories are not included), compiled from IMF data. It is a valuable resource for analyzing global economic trends and understanding individual countries’ growth or decline over this period."
Source: International Monetary Fund (IMF)
Country → Name of the country (no disputed territories included).
2020 → GDP in current USD for year 2020. 2021 → GDP in current USD for year 2021. 2022 → GDP in current USD for year 2022. 2023 → GDP in current USD for year 2023. 2024 → GDP in current USD for year 2024.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The Gross Domestic Product (GDP) in Cuba was worth 107.35 billion US dollars in 2020, according to official data from the World Bank. The GDP value of Cuba represents 0.10 percent of the world economy. This dataset provides - Cuba GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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TwitterFor DCMS sector data, please see: Economic Estimates: Earnings 2023 and Employment October 2022 to September 2023 for the DCMS Sectors and Digital Sector
For Digital sector data, please see: Economic Estimates: Earnings 2023 and Employment October 2022 to September 2023 for the DCMS Sectors and Digital Sector
Last update: 10 February 2022 Next update: July 2022 Geographic coverage: UK
There were, on average, 4.2 million filled jobs (12.7% of the UK total) in DCMS sectors (excluding Tourism) in the 12 month period between October 2020 and September 2021, a 1.7% increase compared to the preceding 12 months. Over the same period total UK filled jobs fell by 1.2%.
The Creative Industries had the most jobs with 2.3 million, followed by the Digital Sector (1.8 million) and Civil Society (0.9 million). The sector with the fewest jobs was Gambling at 76 thousand.
On Friday 4th November, we removed the DCMS statistics on socio-economic background and current occupation, using data from the Labour Force Survey (LFS) for the period July to September 2021.
This is because ONS have identified an https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/articles/theimpactofmiscodingofoccupationaldatainofficefornationalstatisticssocialsurveysuk/2022-09-26">issue with the way their underlying survey data has been assigned to the refreshed SOC2020 codes that were used to calculate these estimates in this publication. ONS expects to resolve the issue by Spring 2023.
No other data in this release is affected. Data covering https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1043520/DCMS_sectors_Economic_Estimates_Employment_Labour_Force_Survey_July_to_September_2016_2019_and_2020.ods">July to September 2020 for socio-economic background and current occupation is unaffected by the issue.
These Economic Estimates are National Statistics used to provide an estimate of employment (number of filled jobs) in the DCMS Sectors, for the period October 2020 to September 2021. The findings are calculated based on the ONS Annual Population Survey (APS).
These statistics cover the contributions of the following DCMS sectors to the UK economy;
A definition for each sector is available in the accompanying technical document along with details of methods and data limitations.
This release is published in accordance with the Code of Practice for Statistics (2018) produced by the UK Statistics Authority (UKSA). The UKSA 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 accompanying pre-release access document lists 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.
Responsible analyst: George Ashford
For any queries or feedback, please contact evidence@dcms.gov.uk.
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TwitterThe growth of the Danish gross domestic product (GDP) in 2020 was minus 2.1 percent. This is due to the outbreak of the coronavirus (COVID-19). However, the GDP recovered in 2021, growing by almost five percent. Denmark's GDP was forecast to grow by two percent in 2024.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The Gross Domestic Product (GDP) in the United States was worth 29184.89 billion US dollars in 2024, according to official data from the World Bank. The GDP value of the United States represents 27.49 percent of the world economy. This dataset provides - United States GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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License information was derived automatically
The Maddison Project Database provides information on comparative economic growth and income levels over the very long run. The 2020 version of this database covers 169 countries and the period up to 2018. For questions not covered in the documentation, please contact maddison@rug.nl.
We now offer a new 2020 update of the Maddison Project database, which uses a different methodology compared to the 2018 update. The approach of the 2018 update is identical to that of Penn World Tables, and consistent with recent economic and statistical research in this field. However, applying this approach systematically results in historical outcomes that are not consistent with current insights by economic historians, as explained in Bolt and Van Zanden (2020).
The 2020 update has to some extent gone back to the original Maddison approach to remedy for this (see documentation). Both the 2018 and the 2020 datasets incorporate the available recent work by economic historians on long term economic growth, the 2020 is most complete in this respect.
Attribution requirement -
All original papers must be cited when:
the data is shown in any graphical form subsets of the full dataset that include less than a dozen (12) countries are used for statistical analysis or any other purposes
A list of original papers can be found in the source sheet of the database. When neither a) or b) apply, then the MPD as a whole should be cited.
Maddison Project Database, version 2020. Bolt, Jutta and Jan Luiten van Zanden (2020), “Maddison style estimates of the evolution of the world economy. A new 2020 update ”.
You can find some inspiration here : https://ourworldindata.org/global-economic-inequality-introduction
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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The Economic and Fiscal Snapshot 2020 lays out the steps Canada is taking to stabilize the economy and protect the health and economic well-being of Canadians and businesses across the country during the public health and economic crisis linked to the COVID-19 pandemic.
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TwitterEconomic multipliers are used to assess the impacts on the economy of an exogenous change in final demand or output of a given industry. Impacts are estimated in terms of total output, gross domestic product, employment and labour income. These multipliers reflect the structure of the Alberta economy and industry linkages during the reference year. Each publication contains multipliers specific to various industries and commodities for two models: the "Open" model covers direct and indirect impacts while the "Closed" model covers direct, indirect and induced impacts. Note regarding the 2020 input-output multipliers: Statistics Canada recommended that due to the COVID pandemic in 2020, the structure of the economy was significantly altered. The 2020 input-output multipliers and input-output models should be used for analysis of economic impacts in 2020. However, for economic impact analysis for more current periods, the 2019 input-output multipliers and input-output models may be considered as more reflective of current economic structures. If you would like to use Alberta’s 2020 and 2019 input-output multipliers from our publications, please contact us at osi.support@gov.ab.ca.
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TwitterWeekly newsletter containing economic commentary, analysis and statistics examining Alberta’s economy, labour market, price indices, household sector and business sector.
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This dataset contains annual Gross Domestic Product (GDP) data for all recognized countries covering the years 2020 to 2025. Disputed territories are excluded. The dataset is compiled from IMF sources and is well-suited for studying global economic trends, forecasting, and analyzing the growth or decline of individual economies over this period. 2025 year data is estimates and will be available next year.
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TwitterIn 2020, consuming products produced in France seemed to be an important economic issue. Indeed, for the majority of the people interviewed, consuming local or French products was important in order to be able to support the French economy, which seem have been seriously affected by the global economic crisis. Only ** percent of respondents disagreed with this idea.
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United States - Chicago Fed Midwest Economy Index was 0.68741 Index Standard Deviation in May of 2021, according to the United States Federal Reserve. Historically, United States - Chicago Fed Midwest Economy Index reached a record high of 4.31270 in September of 2020 and a record low of -9.68290 in June of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Chicago Fed Midwest Economy Index - last updated from the United States Federal Reserve on November of 2025.
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TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
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The World Bank Economic & Social Indicators (2010-2020) dataset is a comprehensive collection of global economic and social data sourced directly from the World Bank API. It spans a decade (2010 to 2020) and includes key indicators for countries worldwide. The dataset is enriched with country metadata to provide additional context, making it ideal for exploratory data analysis, time series forecasting, regression modeling, and policy research.
This dataset combines several critical indicators:
Economic Indicators: Such as GDP (current US$) and Unemployment Rate (%) Social Indicators: Including Population and Life Expectancy at Birth Country Metadata: Such as region, income level, capital city, longitude, and latitude Each record represents a country-year entry, allowing for analysis over time and across different regions and economic groups.
Column Descriptions
country_id: A unique identifier for each country, typically following the ISO code standard used by the World Bank.
country_name: The full name of the country.
year: The calendar year for the data record, ranging from 2010 to 2020.
GDP (current US$): The Gross Domestic Product of the country in current US dollars. This measures the total economic output and is a key indicator of economic performance.
Population: The total population of the country for the given year.
Life Expectancy: The average number of years a newborn is expected to live, based on current mortality rates.
Unemployment Rate (%): The percentage of the labor force that is unemployed, as modeled by the ILO estimates.
region: The geographical region of the country as classified by the World Bank (e.g., Sub-Saharan Africa, East Asia & Pacific).
income_level: The income classification of the country (e.g., low income, lower-middle income, upper-middle income, high income) based on World Bank criteria.
capital_city: The capital city of the country, providing a reference point for geographic and administrative context.
longitude: The longitude coordinate of the country’s capital city.
latitude: The latitude coordinate of the country’s capital city.
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Twitterhttps://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required
Graph and download economic data for Nominal Gross Domestic Product for United States (NGDPSAXDCUSQ) from Q1 1950 to Q2 2025 about GDP and USA.
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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A tabular summary of British Columbia's Fall 2020 Economic & Fiscal Update (Q2) - Fiscal Plan Update 2020/21 - 2022/23, 2020/21 Economic Outlook and Financial Forecast & Three Month Results July - September 2020
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Indonesia: Informal economy, DGE method: The latest value from 2020 is 14.9 percent, a decline from 15.1 percent in 2019. In comparison, the world average is 28.16 percent, based on data from 156 countries. Historically, the average for Indonesia from 1990 to 2020 is 18.32 percent. The minimum value, 14.9 percent, was reached in 2020 while the maximum of 22.9 percent was recorded in 1990.
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TwitterBusiness license information from 1990 to current date.
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TwitterThis dataset provides a comprehensive view of global economic trends, combining multiple essential indicators for analysis and research. The data focuses on the period from 2020 to 2023 and includes two key components:
Scope: Yearly GDP per capita (in USD) and inflation rates per countries over the four-year period.
Scope: The total population of each country at the end of 2023.
The dataset is meticulously compiled from trusted sources:
GDP per capita and inflation data are sourced from the World Bank national accounts data and OECD National Accounts data files.
Population data is derived from the World Bank Data Catalog (Population Ranking).
Potential Applications
Analyze the impact of inflation on economic growth during and after the pandemic.
Examine relationships between GDP per capita and population size.
Compare economic indicators across countries and regions.
Key Features: Clean, structured, and ready-to-use format.
Country-level granularity for detailed comparisons.
Suitable for trend analysis, visualizations, and predictive modeling.
Licensing: This dataset is licensed under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license. You are free to copy, modify, and distribute the data for any purpose, including commercial use, as long as appropriate credit is given to the World Bank.