100+ datasets found
  1. Macro-Economic Indicators Dataset (Country-Level)

    • kaggle.com
    zip
    Updated Mar 9, 2025
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    Vesela Gencheva (2025). Macro-Economic Indicators Dataset (Country-Level) [Dataset]. https://www.kaggle.com/datasets/veselagencheva/macro-economic-indicators-dataset-country-level
    Explore at:
    zip(10693 bytes)Available download formats
    Dataset updated
    Mar 9, 2025
    Authors
    Vesela Gencheva
    Description

    This 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:

    1. GDP Per Capita and Inflation (2020–2023)

    Scope: Yearly GDP per capita (in USD) and inflation rates per countries over the four-year period.

    1. Population (2023)

    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.

  2. DCMS Sector National Economic Estimates: 2011 to 2020

    • gov.uk
    Updated Nov 22, 2024
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    Department for Culture, Media and Sport (2024). DCMS Sector National Economic Estimates: 2011 to 2020 [Dataset]. https://www.gov.uk/government/statistics/dcms-sector-national-economic-estimates-2011-to-2020
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    Dataset updated
    Nov 22, 2024
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Culture, Media and Sport
    Description

    Revision note

    Employment data has been revised since publication.

    November 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.

    About

    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.

    Content

    These statistics cover the economic contribution of the following DCMS sectors to the UK economy:

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

    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:

    • the creation of the Department of Science, Innovation and Technology (DSIT) and the change to DCMS’s remit
    • necessary updates to bring the estimates in line with Office for National Statistics (ONS) methodology
    • to update 2020 Tourism estimates according to the latest Tourism Satellite Account (TSA) estimates
    • to correct minor errors

    Released

    These statistics were first published on 23 December 2021

    Feedback

    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.

    The UK Statistics Authority

    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.

    Pre-release access

    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.

    Contact

    Responsible statistician: Rachel Moyce.

    For any queries or feedback, contact <a href="mailto

  3. Economic situation among households in Sweden 2020

    • statista.com
    Updated Sep 15, 2020
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    Statista (2020). Economic situation among households in Sweden 2020 [Dataset]. https://www.statista.com/statistics/1123014/economic-situation-among-households-in-sweden/
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    Dataset updated
    Sep 15, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Sweden
    Description

    In 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.

  4. GDP per country 2020-2024

    • kaggle.com
    Updated Sep 4, 2025
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    Code by Nadiia (2025). GDP per country 2020-2024 [Dataset]. https://www.kaggle.com/datasets/codebynadiia/gdp-per-country-2020-2024-csv
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 4, 2025
    Dataset provided by
    Kaggle
    Authors
    Code by Nadiia
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    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.

  5. T

    Cuba GDP

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 15, 2023
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    TRADING ECONOMICS (2023). Cuba GDP [Dataset]. https://tradingeconomics.com/cuba/gdp
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Dec 15, 2023
    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, 1970 - Dec 31, 2020
    Area covered
    Cuba
    Description

    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.

  6. DCMS Sector Economic Estimates: Employment Oct 2020 - Sep 2021

    • gov.uk
    Updated Nov 22, 2024
    + more versions
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    Department for Digital, Culture, Media & Sport (2024). DCMS Sector Economic Estimates: Employment Oct 2020 - Sep 2021 [Dataset]. https://www.gov.uk/government/statistics/dcms-sector-economic-estimates-employment-oct-2020-sep-2021
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    Dataset updated
    Nov 22, 2024
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Digital, Culture, Media & Sport
    Description

    Details

    Last update: 10 February 2022 Next update: July 2022 Geographic coverage: UK

    Headline Findings

    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.

    Revision note

    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.

    About this release

    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).

    Content

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

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

    A definition for each sector is available in the accompanying technical document along with details of methods and data limitations.

    The UK Statistics Authority

    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.

    Pre-release access

    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.

    Contact

    Responsible analyst: George Ashford

    For any queries or feedback, please contact evidence@dcms.gov.uk.

  7. Post coronavirus GDP growth forecast in Denmark 2020-2026

    • statista.com
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    Statista, Post coronavirus GDP growth forecast in Denmark 2020-2026 [Dataset]. https://www.statista.com/statistics/1110383/post-coronavirus-gdp-growth-forecast-in-denmark/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2024
    Area covered
    Denmark
    Description

    The 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.

  8. T

    United States GDP

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 15, 2025
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    TRADING ECONOMICS (2025). United States GDP [Dataset]. https://tradingeconomics.com/united-states/gdp
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Jun 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, 1960 - Dec 31, 2024
    Area covered
    United States
    Description

    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.

  9. Maddison Project Dataset 2020 GDP by Country

    • kaggle.com
    zip
    Updated Jan 3, 2022
    + more versions
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    Mathurin Aché (2022). Maddison Project Dataset 2020 GDP by Country [Dataset]. https://www.kaggle.com/mathurinache/maddison-project-dataset-2020-gdp-by-country
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    zip(66871 bytes)Available download formats
    Dataset updated
    Jan 3, 2022
    Authors
    Mathurin Aché
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    Context

    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.

    Content

    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.

    Acknowledgements

    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 ”.

    Inspiration

    You can find some inspiration here : https://ourworldindata.org/global-economic-inequality-introduction

  10. Economic and Fiscal Snapshot 2020

    • open.canada.ca
    • datasets.ai
    csv, html, pdf, xlsx
    Updated Nov 22, 2024
    + more versions
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    Department of Finance Canada (2024). Economic and Fiscal Snapshot 2020 [Dataset]. https://open.canada.ca/data/en/dataset/053ec8c5-5cb0-4df8-8037-5997d9c4e3dd
    Explore at:
    csv, xlsx, html, pdfAvailable download formats
    Dataset updated
    Nov 22, 2024
    Dataset provided by
    Department of Finance Canadahttps://fin.canada.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    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.

  11. a

    Alberta Economic Multipliers By Industry and Commodity

    • open.alberta.ca
    • data.urbandatacentre.ca
    • +2more
    Updated Feb 28, 2024
    + more versions
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    (2024). Alberta Economic Multipliers By Industry and Commodity [Dataset]. https://open.alberta.ca/dataset/alberta-economic-multipliers-by-industry-and-commodity
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    Dataset updated
    Feb 28, 2024
    Area covered
    Alberta
    Description

    Economic 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.

  12. a

    Weekly economic review [2020] - Open Government

    • open.alberta.ca
    Updated Dec 18, 2020
    + more versions
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    (2020). Weekly economic review [2020] - Open Government [Dataset]. https://open.alberta.ca/dataset/weekly-economic-review-2020
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    Dataset updated
    Dec 18, 2020
    Description

    Weekly newsletter containing economic commentary, analysis and statistics examining Alberta’s economy, labour market, price indices, household sector and business sector.

  13. e

    GDP per Country 2020–2025 - Dataset - Makerere University AI4D Hub

    • makerere-university-ai4d-hub.emergentai.ug
    Updated Oct 4, 2025
    + more versions
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    (2025). GDP per Country 2020–2025 - Dataset - Makerere University AI4D Hub [Dataset]. http://makerere-university-ai4d-hub.emergentai.ug/dataset/gdp-per-country-2020-2025
    Explore at:
    Dataset updated
    Oct 4, 2025
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    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.

  14. Share of French people consuming French-made products to support the economy...

    • statista.com
    Updated Jan 26, 2021
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    Statista (2021). Share of French people consuming French-made products to support the economy 2020 [Dataset]. https://www.statista.com/statistics/1197343/consuming-french-made-products-support-economy-affected-crisis-france/
    Explore at:
    Dataset updated
    Jan 26, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 21, 2020 - Apr 22, 2020
    Area covered
    France
    Description

    In 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.

  15. T

    United States - Chicago Fed Midwest Economy Index

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Feb 9, 2020
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    TRADING ECONOMICS (2020). United States - Chicago Fed Midwest Economy Index [Dataset]. https://tradingeconomics.com/united-states/chicago-fed-midwest-economy-index-fed-data.html
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Feb 9, 2020
    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
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    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.

  16. world_economics_dataset

    • kaggle.com
    zip
    Updated Mar 9, 2025
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    Tommaso Marena (2025). world_economics_dataset [Dataset]. https://www.kaggle.com/datasets/tommasomarena/world-economics-dataset
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    zip(77398 bytes)Available download formats
    Dataset updated
    Mar 9, 2025
    Authors
    Tommaso Marena
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    World
    Description

    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.

  17. F

    Nominal Gross Domestic Product for United States

    • fred.stlouisfed.org
    json
    Updated Sep 1, 2025
    + more versions
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    (2025). Nominal Gross Domestic Product for United States [Dataset]. https://fred.stlouisfed.org/series/NGDPSAXDCUSQ
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 1, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Nominal Gross Domestic Product for United States (NGDPSAXDCUSQ) from Q1 1950 to Q2 2025 about GDP and USA.

  18. G

    Fall 2020 Economic and Fiscal Update (Q2)

    • open.canada.ca
    • datasets.ai
    html, xlsx
    Updated Feb 12, 2025
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    Government of British Columbia (2025). Fall 2020 Economic and Fiscal Update (Q2) [Dataset]. https://open.canada.ca/data/dataset/2993deec-9c5c-4717-b19d-3b69a10f4b02
    Explore at:
    xlsx, htmlAvailable download formats
    Dataset updated
    Feb 12, 2025
    Dataset provided by
    Government of British Columbia
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    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

  19. I

    Indonesia Informal economy, DGE method - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jun 26, 2024
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    Globalen LLC (2024). Indonesia Informal economy, DGE method - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Indonesia/informal_economy_dge/
    Explore at:
    xml, excel, csvAvailable download formats
    Dataset updated
    Jun 26, 2024
    Dataset authored and provided by
    Globalen LLC
    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, 1990 - Dec 31, 2020
    Area covered
    Indonesia
    Description

    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.

  20. C

    New Business March 2020-November 17 2020

    • chattadata.org
    Updated Nov 16, 2025
    + more versions
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    (2025). New Business March 2020-November 17 2020 [Dataset]. https://www.chattadata.org/w/4fs5-yqcq/default?cur=3-Lm9-w3dWS&from=hFfK8CwzIcP
    Explore at:
    xml, kml, csv, kmz, xlsx, application/geo+jsonAvailable download formats
    Dataset updated
    Nov 16, 2025
    Description

    Business license information from 1990 to current date.

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Vesela Gencheva (2025). Macro-Economic Indicators Dataset (Country-Level) [Dataset]. https://www.kaggle.com/datasets/veselagencheva/macro-economic-indicators-dataset-country-level
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Macro-Economic Indicators Dataset (Country-Level)

A Country-Level Overview of Key Economic Indicators from 2020 to 2023

Explore at:
zip(10693 bytes)Available download formats
Dataset updated
Mar 9, 2025
Authors
Vesela Gencheva
Description

This 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:

  1. GDP Per Capita and Inflation (2020–2023)

Scope: Yearly GDP per capita (in USD) and inflation rates per countries over the four-year period.

  1. Population (2023)

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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