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.

** percent of Austrians thought the national economy would recover from 2023 or later after the coronavirus (COVID-19) pandemic. The figures are based on a survey conudcted in Austria during November-December 2020.

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.

In a survey conducted in 2020, regarding the impact which the outbreak of the coronavirus had, ** percent of respondents in Malaysia stated that the outbreak of COVID-19 had a major impact on the international economy. In comparison, ** percent of respondents in Hong Kong thought the outbreak of the coronavirus had a major impact on the international economy in 2020.

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.

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.

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.

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

The Japanese government announced an updated version of economic emergency relief package on April 20, 2020, in response to the growing impact of the coronavirus disease (COVID-19) on Japan's economy. A total of around *** trillion Japanese yen was planned for the whole operation, approximately ** trillion yen of which was for the first "emergency support" phase of the measures and around **** trillion yen was for the second "v-shaped turnaround" phase.

In April, the government declared a state of emergency for all ** prefectures and insisted citizens to stay home and work from home until the end of May. It was, however, lifted in ** prefectures on May 14 as the number of new infection cases went down. As of May 18 , 2020, there were a total of ****** confirmed cases of COVID-19 in Japan

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated facts and figures page.

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

Global Climate Events and Economic Impact Dataset (2020-2025)

🌍 Overview

This comprehensive dataset tracks major climate events worldwide and their economic impact from 2020 to September 2025. With over 3,000 documented events across 51 countries, this dataset provides crucial insights into the increasing frequency and severity of climate-related disasters and their economic consequences.

📊 Dataset Description

Key Features:

• 3,000+ climate events documented with detailed impact metrics
• 51 countries covered across all continents
• 12 types of climate events including floods, droughts, hurricanes, wildfires, and more
• Economic impact data in millions of USD
• Human impact metrics including affected population, deaths, and injuries
• Infrastructure damage scores (0-100 scale)
• International aid data for major disasters
• Geospatial coordinates for mapping and spatial analysis

📈 Quick Statistics

• Total Events: 3,000
• Countries Covered: 51
• Total Economic Impact: $5,833 million
• Total Lives Lost: 13,845
• Total People Affected: 2,605,651,486
• Average Event Severity: 3.8/10
• Most Affected Country: United States
• Most Common Event Type: Earthquake

🎯 Potential Use Cases

1. Climate Risk Assessment - Identify high-risk regions and predict future patterns
2. Economic Impact Analysis - Calculate losses and analyze insurance requirements
3. Machine Learning - Build predictive models for severity and impact forecasting
4. Policy Planning - Inform climate adaptation strategies and resource allocation

📜 License

This dataset is released under CC BY-SA 4.0 license.

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.

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

United States SBP: Mfg: COVID-19 Impact: Large Negative Effect data was reported at 27.800 % in 04 Oct 2020. This records a decrease from the previous number of 32.400 % for 27 Sep 2020. United States SBP: Mfg: COVID-19 Impact: Large Negative Effect data is updated weekly, averaging 34.850 % from Apr 2020 (Median) to 04 Oct 2020, with 18 observations. The data reached an all-time high of 46.800 % in 26 Apr 2020 and a record low of 27.800 % in 04 Oct 2020. United States SBP: Mfg: COVID-19 Impact: Large Negative Effect data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S036: Small Business Pulse Survey: by Sector: Weekly, Beg Sunday (Discontinued).

United States SBP: COVID-19 Impact: Little or Number Effect data was reported at 5.000 % in 04 Oct 2020. This records a decrease from the previous number of 5.100 % for 27 Sep 2020. United States SBP: COVID-19 Impact: Little or Number Effect data is updated weekly, averaging 3.900 % from Apr 2020 (Median) to 04 Oct 2020, with 18 observations. The data reached an all-time high of 5.900 % in 06 Sep 2020 and a record low of 1.600 % in 26 Apr 2020. United States SBP: COVID-19 Impact: Little or Number Effect data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S036: Small Business Pulse Survey: by Sector: Weekly, Beg Sunday (Discontinued).

This website provides statistics on the economic value of visitors to the state of Virginia. The analysis is commissioned by the Virginia Tourism Corporation, and is conducted by Tourism Economics, LLC. The analysis is based on multiple data sources, including the US census, STR, Longwoods International, lodging and sales tax receipts, and employment and wage data from the Bureau of Economic Analysis and Bureau of Labor Statistics. By combining these datasets, a comprehensive view of visitor activity is developed that is consistent with official economic and industry data for the state. The analysis measures visitor spending by category, tourism employment, personal income, and taxes generated by visitor activity. The data are available for several years of history and can be viewed and downloaded at the state level.