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TwitterFocusEconomics' economic data is provided by official state statistical reporting agencies as well as our global network of leading banks, think tanks and consultancies. Our datasets provide not only historical data, but also Consensus Forecasts and individual forecasts from the aformentioned global network of economic analysts. This includes the latest forecasts as well as historical forecasts going back to 2010. Our global network consists of over 1000 world-renowned economic analysts from which we calculate our Consensus Forecasts. In this specific dataset you will find economic data for Slovakia.
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TwitterFocusEconomics' economic data is provided by official state statistical reporting agencies as well as our global network of leading banks, think tanks and consultancies. Our datasets provide not only historical data, but also Consensus Forecasts and individual forecasts from the aformentioned global network of economic analysts. This includes the latest forecasts as well as historical forecasts going back to 2010. Our global network consists of over 1000 world-renowned economic analysts from which we calculate our Consensus Forecasts. In this specific dataset you will find economic data for Armenia GDP.
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Monthly and long-term Canada Interest Rate data: historical series and analyst forecasts curated by FocusEconomics.
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Denton economic data from the American Community Survey (ACS)
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Monthly and long-term Djibouti Reserves data: historical series and analyst forecasts curated by FocusEconomics.
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TwitterThis dataset provides a historical overview of key global indicators, including Gross Domestic Product (GDP), population growth, and CO2 emissions. It captures economic trends, demographic shifts, and environmental impacts over multiple decades, making it useful for researchers, analysts, and policymakers.
The dataset includes Real GDP (inflation-adjusted), allowing for economic trend analysis while accounting for inflation effects. Additionally, it incorporates CO2 emissions data, enabling studies on the relationship between economic growth and environmental impact.
This dataset is valuable for multiple research areas:
✅ Macroeconomic Analysis – Study global economic growth, recessions, and recovery trends.
✅ Inflation & Monetary Policy – Compare nominal vs. real GDP to assess inflationary trends.
✅ Climate Change Research – Analyze CO2 emissions alongside economic growth to identify sustainability challenges.
✅ Predictive Modeling – Train machine learning models for forecasting GDP, population, or emissions.
✅ Public Policy & Development – Evaluate the impact of economic and environmental policies over time.
This dataset is shared for educational and analytical purposes only.
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United States US: GDP: Growth: Gross Value Added: Services data was reported at 2.621 % in 2015. This records an increase from the previous number of 2.221 % for 2014. United States US: GDP: Growth: Gross Value Added: Services data is updated yearly, averaging 2.335 % from Dec 1998 (Median) to 2015, with 18 observations. The data reached an all-time high of 4.456 % in 1999 and a record low of -1.772 % in 2009. United States US: GDP: Growth: Gross Value Added: Services data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Gross Domestic Product: Annual Growth Rate. Annual growth rate for value added in services based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, import duties, and any statistical discrepancies noted by national compilers as well as discrepancies arising from rescaling. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.
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Merchandise imports from low- and middle-income economies within region are the sum of merchandise imports by the reporting economy from other low- and middle-income economies in the same World Bank region according to the World Bank classification of economies. Data are as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. No figures are shown for high-income economies, because they are a separate category in the World Bank classification of economies.
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TwitterThe Leading Economic Index Final in Japan is a composite index that aggregates various economic indicators to forecast the future direction of the economy.-2025-02-25
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Economic Policy Uncertainty : News-Based for the United States was 282.42142 Index in October of 2025, according to the United States Federal Reserve. Historically, Economic Policy Uncertainty : News-Based for the United States reached a record high of 725.03117 in April of 2025 and a record low of 21.94447 in September of 1956. Trading Economics provides the current actual value, an historical data chart and related indicators for Economic Policy Uncertainty : News-Based for the United States - last updated from the United States Federal Reserve on November of 2025.
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Monthly and long-term Chad Exchange Rate data: historical series and analyst forecasts curated by FocusEconomics.
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The set contains information on the financial statements in 2021 form 1-ds for the first half of the year
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TwitterThe Leading Economic Index Final in Japan is a composite index that aggregates various economic indicators to forecast the future direction of the economy.-2024-06-24
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UPDATE: As of June 1, 2020
List of developing economies included ,
Bangladesh Bhutan Brunei Darussalam Cambodia Fiji Hong Kong, China India Indonesia Kazakhstan Kyrgyz Republic Lao PDR Malaysia Maldives Mongolia Nepal Pakistan Philippines Republic of Korea Singapore Sri Lanka Taipei,China Thailand Viet Nam
Abiad, Abdul, Mia Arao, Editha Lavina, Reizle Platitas, Jesson Pagaduan, and Christian Jabagat, 2020. “The Impact of COVID-19 on Developing Asian Economies: The Role of Outbreak Severity, Containment Stringency, and Mobility Declines,” in COVID in Emerging and Developing Countries, Simeon Djankov and Ugo Panizza (eds.). London: Centre for Economic Policy Research.
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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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PIA01 - Overall Economy Productivity Indicators. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Overall Economy Productivity Indicators...
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United States CPI U: Northeast: Size Class B/C data was reported at 156.752 Dec1996=100 in Oct 2018. This records a decrease from the previous number of 156.961 Dec1996=100 for Sep 2018. United States CPI U: Northeast: Size Class B/C data is updated monthly, averaging 132.049 Dec1996=100 from Dec 1996 (Median) to Oct 2018, with 263 observations. The data reached an all-time high of 157.350 Dec1996=100 in Aug 2018 and a record low of 100.000 Dec1996=100 in Jan 1997. United States CPI U: Northeast: Size Class B/C data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I014: Consumer Price Index: Urban: By Region. All metropolitan areas with population smaller than 1.5 million
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Consumer Confidence Economic Expectations in Finland increased to 22 in June from 21.90 in May of 2017. This dataset includes a chart with historical data for Finland Consumer Confidence Economic Expectations.
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Poland Number of National Economy Entities: Registered: Natural Persons Conducting Economic Activity data was reported at 3,081,190.000 Unit in Sep 2018. This records an increase from the previous number of 3,043,282.000 Unit for Jun 2018. Poland Number of National Economy Entities: Registered: Natural Persons Conducting Economic Activity data is updated quarterly, averaging 2,871,457.000 Unit from Sep 2002 (Median) to Sep 2018, with 65 observations. The data reached an all-time high of 3,081,190.000 Unit in Sep 2018 and a record low of 2,677,537.000 Unit in Sep 2002. Poland Number of National Economy Entities: Registered: Natural Persons Conducting Economic Activity data remains active status in CEIC and is reported by Central Statistical Office. The data is categorized under Global Database’s Poland – Table PL.O013: Number of Economic Entities: Registered: by Ownership and Legal Form.
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This dataset is about books. It has 1 row and is filtered where the book is Sustainable investing : socio-economic impacts of exchange-traded funds. It features 7 columns including author, publication date, language, and book publisher.
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TwitterFocusEconomics' economic data is provided by official state statistical reporting agencies as well as our global network of leading banks, think tanks and consultancies. Our datasets provide not only historical data, but also Consensus Forecasts and individual forecasts from the aformentioned global network of economic analysts. This includes the latest forecasts as well as historical forecasts going back to 2010. Our global network consists of over 1000 world-renowned economic analysts from which we calculate our Consensus Forecasts. In this specific dataset you will find economic data for Slovakia.