Facebook
TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
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.
Facebook
TwitterAs of November 2021, the U.S. goverment dedicated ***** percent of the GDP to soften the effects of the coronavirus pandemic. This translates to stimulus packages worth **** trillion U.S. dollars Economic impact of the Coronavirus pandemic The impact of the COVID-19 pandemic was felt throughout the whole world. Lockdowns forced many industries to close completely for many months and restrictions were put on almost all economic activity. In 2020, the worldwide GDP loss due to Covid was *** percent. The global unemployment rate rocketed to **** percent in 2020 and confidence in governments’ ability to deal with the crisis diminished significantly. Governmental response In order to stimulate the economies and bring them out of recession, many countries have decided to release so called stimulus packages. These are fiscal and monetary policies used to support the recovery process. Through application of lower taxes and interest rates, direct financial aid, or facilitated access to funding, the governments aim to boost the employment, investment, and demand. Stimulus packages Until November 2021, Japan has dedicated the largest share of the GDP to stimulus packages among the G20 countries, with ***** percent (*** trillion Yen or **** trillion U.S. dollars). While the first help package aimed at maintaining employment and securing businesses, the second and third ones focused more on structural changes and positive developments in the country in the post-pandemic future.
Facebook
TwitterOver the next decade, of the four main use cases that ** will enable - i.e., enhanced mobile broadband (eMBB), fixed wireless access (FWA), ultra-reliable, low-latency communications (URLLC), and massive Internet of Things (MIoT) - eMBB and FWA are expected to account for nearly ** percent of the total **-associated economic benefits. The benefits from MIoT and URLLC were projected to begin at a later stage, with the sectors benefitting the most from ** being manufacturing, public administration, and services such as healthcare and education.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States SBP: TW: COVID-19 Impact: Large Positive Effect data was reported at 1.500 % in 04 Oct 2020. This records a decrease from the previous number of 2.100 % for 27 Sep 2020. United States SBP: TW: COVID-19 Impact: Large Positive Effect data is updated weekly, averaging 1.400 % from Apr 2020 (Median) to 04 Oct 2020, with 18 observations. The data reached an all-time high of 2.200 % in 09 Aug 2020 and a record low of 0.400 % in 30 Aug 2020. United States SBP: TW: COVID-19 Impact: Large Positive 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).
Facebook
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.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States SBP: CT: COVID-19 Impact: Large Positive Effect data was reported at 1.200 % in 04 Oct 2020. This records an increase from the previous number of 0.500 % for 27 Sep 2020. United States SBP: CT: COVID-19 Impact: Large Positive Effect data is updated weekly, averaging 0.800 % from Apr 2020 (Median) to 04 Oct 2020, with 15 observations. The data reached an all-time high of 1.200 % in 04 Oct 2020 and a record low of 0.300 % in 07 Jun 2020. United States SBP: CT: COVID-19 Impact: Large Positive 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.S046: Small Business Pulse Survey: by Sector: Weekly, Beg Sunday (Discontinued).
Facebook
TwitterItaly's Gross Domestic Product (GDP) amounted to 2.2 trillion euros in 2024. The Italian economy grew at low rates between 2010 and 2019 and significantly shrank in 2020 following the consequences of the COVID-19 pandemic on the global economy. However, since 2021, GDP has recorded a steady uprise, with remarkably higher growth rates compared to the pre-pandemic period. A difficult outlook for the Italian economy Besides the positive performance recorded right after the COVID-19 pandemic, projections indicate a different outlook. The slow growth of the Italian economy, less than one percent each year from 2025 to 2029, is believed to remove Italy from the giants of the global players. Indeed, by 2028, the ranking of the world's largest economies might appear quite different from the present one. In addition to slow growth, Italy's economy is characterized by large internal disparities. After 160 years of national unity, the country is still very divided, as data on unemployment, GDP, and poverty confirm. National debt: Italy's most difficult challenge Italy still ranks among the top 20 largest economies in the world. However, the large amount of the national debt risks hampering future growth. In 2024, it reached 135 percent of the GDP, equivalent to 3.2 trillion U.S. dollars, and forecasts expect figures to increase over the coming years. By 2029, the debt-to-GDP ratio may hit 137 percent. A large amount of national debt significantly limits the government's possibility to earmark resources for public investments. In fact, a considerable share of the state budget is devoted to reimbursing the debt.
Facebook
TwitterThe gross domestic product of the United Kingdom in 2024 was around 2.78 trillion British pounds, an increase when compared to the previous year, when UK GDP amounted to about 2.75 trillion pounds. The significant drop in GDP visible in 2020 was due to the COVID-19 pandemic, with the smaller declines in 2008 and 2009 because of the global financial crisis of the late 2000s. Low growth problem in the UK Despite growing by 0.9 percent in 2024, and 0.4 percent in 2023 the UK economy is not that much larger than it was before the COVID-19 pandemic. Since recovering from a huge fall in GDP in the second quarter of 2020, the UK economy has alternated between periods of contraction and low growth, with the UK even in a recession at the end of 2023. While economic growth picked up somewhat in 2024, GDP per capita is lower than it was in 2022, following two years of negative growth. UK's global share of GDP falling As of 2024, the UK had the sixth-largest economy in the world, behind the United States, China, Japan, Germany, and India. Among European nations, this meant that the UK currently has the second-largest economy in Europe, although the economy of France, Europe's third-largest economy, is of a similar size. The UK's global economic ranking will likely fall in the coming years, however, with the UK's share of global GDP expected to fall from 2.16 percent in 2025 to 2.02 percent by 2029.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States SBP: COVID-19 Impact: Large Positive Effect data was reported at 1.600 % in 04 Oct 2020. This records an increase from the previous number of 1.500 % for 27 Sep 2020. United States SBP: COVID-19 Impact: Large Positive Effect data is updated weekly, averaging 1.250 % from Apr 2020 (Median) to 04 Oct 2020, with 18 observations. The data reached an all-time high of 1.700 % in 06 Sep 2020 and a record low of 0.600 % in 26 Apr 2020. United States SBP: COVID-19 Impact: Large Positive 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).
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States SBP: COVID-19 Impact: Large Negative Effect data was reported at 30.200 % in 04 Oct 2020. This records a decrease from the previous number of 30.400 % for 27 Sep 2020. United States SBP: COVID-19 Impact: Large Negative Effect data is updated weekly, averaging 35.950 % from Apr 2020 (Median) to 04 Oct 2020, with 18 observations. The data reached an all-time high of 51.400 % in 26 Apr 2020 and a record low of 30.200 % in 04 Oct 2020. United States SBP: 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.S044: Small Business Pulse Survey: Weekly, Beg Sunday (Discontinued).
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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).
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States SBP: AW: COVID-19 Impact: Moderate Positive Effect data was reported at 5.700 % in 04 Oct 2020. This records a decrease from the previous number of 6.100 % for 27 Sep 2020. United States SBP: AW: COVID-19 Impact: Moderate Positive Effect data is updated weekly, averaging 4.400 % from Apr 2020 (Median) to 04 Oct 2020, with 18 observations. The data reached an all-time high of 7.400 % in 20 Sep 2020 and a record low of 2.200 % in 10 May 2020. United States SBP: AW: COVID-19 Impact: Moderate Positive 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).
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States COVID-19 Impact: Upcoming Travel Plans: From Fly to Drive data was reported at 33.000 % in 23 Sep 2020. This stayed constant from the previous number of 33.000 % for 09 Sep 2020. United States COVID-19 Impact: Upcoming Travel Plans: From Fly to Drive data is updated weekly, averaging 26.000 % from Mar 2020 (Median) to 23 Sep 2020, with 21 observations. The data reached an all-time high of 33.000 % in 23 Sep 2020 and a record low of 17.000 % in 25 Mar 2020. United States COVID-19 Impact: Upcoming Travel Plans: From Fly to Drive data remains active status in CEIC and is reported by Longwoods International. The data is categorized under Global Database’s United States – Table US.Q008: Travel Sentiment.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Japan SSI: sa: FDG: COG: Non-Durable data was reported at 104.400 2020=100 in Mar 2025. This records a decrease from the previous number of 104.500 2020=100 for Feb 2025. Japan SSI: sa: FDG: COG: Non-Durable data is updated monthly, averaging 103.600 2020=100 from Jan 1998 (Median) to Mar 2025, with 327 observations. The data reached an all-time high of 115.500 2020=100 in Feb 2016 and a record low of 96.600 2020=100 in Nov 2020. Japan SSI: sa: FDG: COG: Non-Durable data remains active status in CEIC and is reported by Ministry of Economy, Trade and Industry. The data is categorized under Global Database’s Japan – Table JP.C094: Supply Shipment Index: 2020=100: Seasonally Adjusted.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States SBP: AG: COVID-19 Impact: Little or Number Effect data was reported at 100.000 % in 27 Sep 2020. United States SBP: AG: COVID-19 Impact: Little or Number Effect data is updated weekly, averaging 100.000 % from Sep 2020 (Median) to 27 Sep 2020, with 1 observations. The data reached an all-time high of 100.000 % in 27 Sep 2020 and a record low of 100.000 % in 27 Sep 2020. United States SBP: AG: 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.S046: Small Business Pulse Survey: by Sector: Weekly, Beg Sunday (Discontinued).
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States Off Within 2 Weeks: sa: Single Family: New York, NY data was reported at 29.881 % in Jul 2020. This records a decrease from the previous number of 30.708 % for Jun 2020. United States Off Within 2 Weeks: sa: Single Family: New York, NY data is updated monthly, averaging 18.769 % from May 2015 (Median) to Jul 2020, with 63 observations. The data reached an all-time high of 30.708 % in Jun 2020 and a record low of 4.628 % in Apr 2020. United States Off Within 2 Weeks: sa: Single Family: New York, NY data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB011: Off Market Within 2 Weeks: by Metropolitan Areas: Seasonally Adjusted.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States Off Within 2 Weeks: Single Family: West Palm Beach, FL data was reported at 25.109 % in Jul 2020. This records a decrease from the previous number of 27.518 % for Jun 2020. United States Off Within 2 Weeks: Single Family: West Palm Beach, FL data is updated monthly, averaging 20.139 % from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 27.518 % in Jun 2020 and a record low of 9.010 % in Apr 2020. United States Off Within 2 Weeks: Single Family: West Palm Beach, FL data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB010: Off Market Within 2 Weeks: by Metropolitan Areas.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Japan SSI: sa: FDG: IG: Capital Goods data was reported at 106.800 2020=100 in Mar 2025. This records a decrease from the previous number of 113.700 2020=100 for Feb 2025. Japan SSI: sa: FDG: IG: Capital Goods data is updated monthly, averaging 110.800 2020=100 from Jan 1998 (Median) to Mar 2025, with 327 observations. The data reached an all-time high of 135.200 2020=100 in Dec 2007 and a record low of 73.600 2020=100 in May 2009. Japan SSI: sa: FDG: IG: Capital Goods data remains active status in CEIC and is reported by Ministry of Economy, Trade and Industry. The data is categorized under Global Database’s Japan – Table JP.C094: Supply Shipment Index: 2020=100: Seasonally Adjusted.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States Off Within 2 Weeks: sa: All Residential: Newark, NJ data was reported at 40.896 % in Jul 2020. This records an increase from the previous number of 39.285 % for Jun 2020. United States Off Within 2 Weeks: sa: All Residential: Newark, NJ data is updated monthly, averaging 23.657 % from May 2015 (Median) to Jul 2020, with 63 observations. The data reached an all-time high of 40.896 % in Jul 2020 and a record low of 16.214 % in Apr 2020. United States Off Within 2 Weeks: sa: All Residential: Newark, NJ data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB011: Off Market Within 2 Weeks: by Metropolitan Areas: Seasonally Adjusted.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Japan SSI: sa: Ind.: Foreign: Mfg: Oth: Printing Industry data was reported at 43.200 2020=100 in Mar 2025. This records a decrease from the previous number of 57.200 2020=100 for Feb 2025. Japan SSI: sa: Ind.: Foreign: Mfg: Oth: Printing Industry data is updated monthly, averaging 85.800 2020=100 from Jan 2018 (Median) to Mar 2025, with 87 observations. The data reached an all-time high of 167.700 2020=100 in Dec 2019 and a record low of 43.200 2020=100 in Mar 2025. Japan SSI: sa: Ind.: Foreign: Mfg: Oth: Printing Industry data remains active status in CEIC and is reported by Ministry of Economy, Trade and Industry. The data is categorized under Global Database’s Japan – Table JP.C094: Supply Shipment Index: 2020=100: Seasonally Adjusted.
Facebook
TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
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.