This dataset provides values for CONSUMER SPENDING reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Consumer Spending in European Union increased to 1886.80 EUR Billion in the first quarter of 2025 from 1882.42 EUR Billion in the fourth quarter of 2024. This dataset provides - European Union Consumer Spending- actual values, historical data, forecast, chart, statistics, economic calendar and news.

HICP: Country Weights: EU 27 excl UK data was reported at 805.890 Per 1000 in 2025. This records an increase from the previous number of 800.300 Per 1000 for 2024. HICP: Country Weights: EU 27 excl UK data is updated yearly, averaging 824.505 Per 1000 from Dec 2000 (Median) to 2025, with 26 observations. The data reached an all-time high of 845.870 Per 1000 in 2003 and a record low of 791.520 Per 1000 in 2022. HICP: Country Weights: EU 27 excl UK data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s European Union – Table EU.I005: Eurostat: Harmonized Index of Consumer Prices: Weights.

HICP: Weights: EA19: RC: AI: Photographic, Cinema & Optical Equip data was reported at 0.610 Per 1000 in 2024. This records an increase from the previous number of 0.580 Per 1000 for 2023. HICP: Weights: EA19: RC: AI: Photographic, Cinema & Optical Equip data is updated yearly, averaging 1.450 Per 1000 from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 1.900 Per 1000 in 2008 and a record low of 0.580 Per 1000 in 2023. HICP: Weights: EA19: RC: AI: Photographic, Cinema & Optical Equip data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s European Union – Table EU.I005: Eurostat: Harmonized Index of Consumer Prices: Weights.

Consumer Confidence In the Euro Area decreased to -15.30 points in June from -15.10 points in May of 2025. This dataset provides the latest reported value for - Euro Area Consumer Confidence - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This table presents Gross Domestic Product (GDP) and its main components according to the expenditure approach. Data is presented in US dollars. In the expenditure approach, the components of GDP are: final consumption expenditure of households and non-profit institutions serving households (NPISH) plus final consumption expenditure of General Government plus gross fixed capital formation (or investment) plus net trade (exports minus imports).

When using the filters, please note that final consumption expenditure is shown separately for the Households/NPISH and General Government sectors, not for the whole economy. All other components of GDP are shown for the whole economy, not for the sector breakdowns.

The table shows OECD countries and some other economies, as well as the OECD total, G20, G7, OECD Europe, United States - Mexico - Canada Agreement (USMCA), European Union and euro area.

These indicators were presented in the previous dissemination system in the QNA dataset.
See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: QNA User guide
See QNA Calendar for information on advance release dates: QNA Calendar
See QNA Changes for information on changes in methodology: QNA Changes
See QNA TIPS for a better use of QNA data: QNA TIPS
Explore also the GDP and non-financial accounts webpage: GDP and non-financial accounts webpage
OECD statistics contact: STAT.Contact@oecd.org

This dataset provides a comprehensive panel data structure covering 27 EU member states from 2007 to 2020. It includes economic, social, governance, and development indicators alongside data on EU funds allocated as a percentage of GDP. The primary objective of this dataset is to facilitate the analysis of the impact of EU funding on socio-economic progress across different countries and periods.The time period covered: 2007–2020Geographical coverage: 27 EU member statesTemporal resolution: Annual observationsThe dataset contains yearly observations for each country, with the following key indicators:EU Funds (EUfunds) – Ratio of annual EU funds paid to member states as a percentage of GDP (European Commission).Human Development Index (HDI) – Composite index of life expectancy, education, and income (UNDP).GINI Index (GINI) – Measure of income inequality (0 = perfect equality, 100 = maximum inequality, World Bank).Economic Sentiment Indicator (ESI ave.) – Business and consumer confidence indicator (European Commission).Economic Complexity Index (ECI) – Measure of a country’s ability to produce knowledge-intensive goods (Harvard Growth Lab).Educational Attainment (Educ.att.) – Percentage of the population with secondary or higher education (World Bank).Gender Parity Index (GPI) – Ratio of female-to-male school enrollment rates (World Bank).Index of Economic Freedom – Score based on property rights, trade freedom, and government intervention (Heritage Foundation).Governance Indicators (World Bank Governance Indicators):Control of Corruption (Contr.of.Corr.)Rule of Law (Rule.of.Law)Regulatory Quality (Regul.Qual.)Political Stability and Absence of Violence (Pol.stab.and.Abs.viol.)Voice and Accountability (Voice.and.Account.)Government Effectiveness (Gov.effect.)Sustainable Development Goals (SDG Index) – Composite measure of progress toward the UN SDGs (Sustainable Development Solutions Network).This dataset provides a rich foundation for empirical analysis, policy evaluation, and academic research on the role of EU funding in economic and social development.

This table presents Gross Domestic Product (GDP) and its main components according to the expenditure approach. Data is presented as growth rates. In the expenditure approach, the components of GDP are: final consumption expenditure of households and non-profit institutions serving households (NPISH) plus final consumption expenditure of General Government plus gross fixed capital formation (or investment) plus net trade (exports minus imports).

When using the filters, please note that final consumption expenditure is shown separately for the Households/NPISH and General Government sectors, not for the whole economy. All other components of GDP are shown for the whole economy, not for the sector breakdowns.

The data is presented for OECD countries individually, as well as the OECD total, G20, G7, OECD Europe, United States - Mexico - Canada Agreement (USMCA), European Union and euro area.

These indicators were presented in the previous dissemination system in the QNA dataset.
See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: QNA User guide
See QNA Calendar for information on advance release dates: QNA Calendar
See QNA Changes for information on changes in methodology: QNA Changes
See QNA TIPS for a better use of QNA data: QNA TIPS
Explore also the GDP and non-financial accounts webpage: GDP and non-financial accounts webpage
OECD statistics contact: STAT.Contact@oecd.org

For several years, domestic electricity consumption has been growing (the average annual growth rate of electricity consumption for 2005-2010 is 2.75%). The increase in demand for electricity is related to the continuous development of the Polish economy, the enrichment of society and the growing, year by year, industrial production. It should be noted that electricity consumption is related to the GDP per capita, the general economic situation and the modernization of the economy. The following dataset shows that there is a correlation between electricity consumption per capita and the GDP of a given country. Therefore, it should be assumed that the Polish economy, which is developing despite the global financial crisis and the European crisis of public debt and the financial sector, will become an increasingly larger energy consumer.

HICP: Weights: EA19: FN: Food: Oils & Fats data was reported at 5.110 Per 1000 in 2025. This records an increase from the previous number of 5.090 Per 1000 for 2024. HICP: Weights: EA19: FN: Food: Oils & Fats data is updated yearly, averaging 5.085 Per 1000 from Dec 2000 (Median) to 2025, with 26 observations. The data reached an all-time high of 6.180 Per 1000 in 2000 and a record low of 4.110 Per 1000 in 2020. HICP: Weights: EA19: FN: Food: Oils & Fats data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s European Union – Table EU.I005: Eurostat: Harmonized Index of Consumer Prices: Weights.

The dataset provides regional (NUTS 2) estimates for the DMC indicator from 2006 to 2015. The provision of granular data on material consumption represents a critical input for comparative research conducted at regional level. It can potentially advance the general understanding of metabolic systems and their influencing factors at local levels, supporting the design of place-based policies and strategies in support of sustainable resource use. The methodology is based on a three-steps econometric model, including: (1) global model specification, (2) optimization of parameters, and (3) regional extrapolation. Step (1) focuses on the identification of the best regression model describing DMC patterns across European countries. The main output of this first task is the estimation of the global parameters (i.e. the regression coefficients observed between DMC and its explanatory variables at European level). Step (2) calibrates the model in order to reflect the specific socio-metabolic regimes of the different countries. This calibration is implemented by an optimization algorithm that automatically adjusts the estimated parameters based on the specific characteristics of each country. This generates a set of country-specific parameters. Finally, in Step (3) we extrapolate the regional figures for DMC by applying the country-specific parameters on the selected explicative variables, measured at the regional level. Even though the method relies on the assumption of same model specification across scales – similarly to other top-down approaches –, it offers two important advantages on how territorial heterogeneity is considered in the model. First it considers the issue of national regimes dependency, and second it avoids approximation based on a single proxy factor by accounting for multiple correlations.. A detailed description of the methodology is provided in https://doi.org/10.1111/jiec.13000.

This dataset provides values for CREDIT RATINGS. reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

HICP: Weights: EA19: Restaurants & Hotels (RH) data was reported at 113.000 Per 1000 in 2025. This records an increase from the previous number of 112.240 Per 1000 for 2024. HICP: Weights: EA19: Restaurants & Hotels (RH) data is updated yearly, averaging 93.130 Per 1000 from Dec 1996 (Median) to 2025, with 30 observations. The data reached an all-time high of 113.000 Per 1000 in 2025 and a record low of 75.160 Per 1000 in 2021. HICP: Weights: EA19: Restaurants & Hotels (RH) data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s European Union – Table EU.I005: Eurostat: Harmonized Index of Consumer Prices: Weights.

HICP: Weights: EA19: Health: Out Patient Serv data was reported at 22.710 Per 1000 in 2025. This records an increase from the previous number of 21.820 Per 1000 for 2024. HICP: Weights: EA19: Health: Out Patient Serv data is updated yearly, averaging 18.820 Per 1000 from Dec 2001 (Median) to 2025, with 25 observations. The data reached an all-time high of 22.710 Per 1000 in 2025 and a record low of 15.380 Per 1000 in 2001. HICP: Weights: EA19: Health: Out Patient Serv data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s European Union – Table EU.I005: Eurostat: Harmonized Index of Consumer Prices: Weights.

HICP: Weights: EA19: HF: EO: Solid Fuels data was reported at 1.550 Per 1000 in 2025. This records a decrease from the previous number of 1.880 Per 1000 for 2024. HICP: Weights: EA19: HF: EO: Solid Fuels data is updated yearly, averaging 1.175 Per 1000 from Dec 2000 (Median) to 2025, with 26 observations. The data reached an all-time high of 1.910 Per 1000 in 2023 and a record low of 0.790 Per 1000 in 2005. HICP: Weights: EA19: HF: EO: Solid Fuels data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s European Union – Table EU.I005: Eurostat: Harmonized Index of Consumer Prices: Weights.

This dataset contains statistics on Harmonised Indices of Consumer Prices (HICPs) by ECOICOP divisions and their associated weights. HICPs are published by Eurostat, the statistical office of the European Union and are calculated according to a harmonised approach and a single set of definitions in order to give comparable measures of inflation in the euro area, the European Union, the European Economic Area and for other countries.

This dataset provides values for CONSUMER PRICE INDEX CPI reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

HICP: Weights: EA19: RC: OM: Maintenance & Repair data was reported at 0.270 Per 1000 in 2025. This records an increase from the previous number of 0.260 Per 1000 for 2024. HICP: Weights: EA19: RC: OM: Maintenance & Repair data is updated yearly, averaging 0.040 Per 1000 from Dec 2000 (Median) to 2025, with 26 observations. The data reached an all-time high of 0.410 Per 1000 in 2019 and a record low of 0.000 Per 1000 in 2014. HICP: Weights: EA19: RC: OM: Maintenance & Repair data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s European Union – Table EU.I005: Eurostat: Harmonized Index of Consumer Prices: Weights.

This dataset contains statistics on Consumer Price Indices - all items, for G20 countries and for the G20 as a whole.

The G20 area consists of the following economies: Argentina, Australia, Brazil, Canada, China, France, Germany, India, Indonesia, Italy, Japan, Korea, Mexico, the Russian Federation, Saudi Arabia, South Africa, Türkiye, the United Kingdom, the United States, the African Union and the European Union.

The CPI aggregate for G20 area is calculated for the headline indicator only (CPI/HICP All items). It reflects national CPIs for all G20 countries (with the exception of Türkiye and the United Kingdom) that are not part of the EU while it reflects the HICPs for the EU, its Member States, for Türkiye and the United Kingdom. It is an annual chain-linked Laspeyres-type indices, calculated taking the sixteen individual country members of the G20 (other than France, Germany, and Italy) plus the EU as an aggregate. The G20 aggregate does not include African Union countries, except for South Africa.

EXIOBASE 3: For best in class environmental-economic accounting data. Get insight into global supply-chains and the environmental impacts of consumption. EXIOBASE 3 provides a time series of environmentally extended multi-regional input‐output (EE MRIO) tables ranging from 1995 to 2020 (plus now-casted tables for 2021 and 2022) for 44 countries (27 EU member plus 17 major economies) and five rest of the world regions. EXIOBASE is maintained by the EXIOBASE consortium, with XIO Sustainability Analytics now working on providing annual updates to the core economic, energy and emission tables. We welcome any collaborative efforts to further improve the database. Updates are now being produced annually, and more updated data may be available in beta-mode, get in contact if interested. At time of publication of v3.9.4, a version 3.10 with updates to 2022 and nowcasts to 2024 is in beta. A special issue of Journal of Industrial Ecology (Volume 22, Issue 3) describes the build process and some use cases of EXIOBASE 3. This includes the article by Stadler et al. (2018) describing the compilation of EXIOBASE 3. To stay updated on database improvements, relevant EXIOBASE studies, and ongoing work, join the EXIOBASE group on LinkedIn. Licenses Please ensure that you have understood the license conditions before use. Note that these conditions are significantly different to the license conditions of earlier versions, such as v3.8. Non-commercial, academic useEXIOBASE v3.9 is released under a customized derivative of the CC-BY-SA-NC license, incorporating additional definitions as outlined in the license file. Commercial useCommercial licenses, which allow for use for any case not covered in the non-commercial license are under development. For license enquiries or help in use of EXIOBASE data for spend-based emission factors, or other applications, please send an email. The funding to be accumulated through licenses and support will be used to fund further updates of the database. Now-casting The core EXIOBASE 3.9 model is based on supply and use tables up to 2020. However, the time-series is expanded (i.e., now-casted) until 2022 using global trade data and macroeconomic data (IMF), as well as environmental data when available. Caution should be made when using now-casted data, especially due to the impact of the COVID pandemic not being adequately captured in the now-casting. It is recommended to use 2020 data from v3.9.4 as the latest available year for most analysis. Processing the database For a general introduction to environmentally extended input-output modelling, we refer to: UN Handbook on Supply and Use Tables and Input Output-Tables with Extensions and Applications Input-Output Analysis by Miller & Blair The database is too large to handle in a standard spreadsheet software (e.g., Excel), and we recommend using programming languages such as Python, R, or Matlab. The open-source python package PyMRIO can be used to download and parse the database directly from Zenodo and do input-output analysis. If you are interested in learning more about EXIOBASE or input-output modelling in general (including practical use of PyMRIO, how to develop custom models), please reach out. Earlier versions and documentations Some previous versions (3.7, 3.8) are also available on Zenodo. The even earlier public releases of the data (EXIOBASE v3.3 and v3.4) are available on request. We recommend, however, using the latest version due to significant updates of the economic data as well as major differences in water and land use accounts. The first documentation of EXIOBASE 3 was done via deliverables of the DESIRE project - these can now be accessed here. The country disaggregated version, EXIOBASE 3rx, is available on Zenodo. It is no longer continued, but including more regions in the EXIOBASE classification is ongoing work. Reach out to exiobase-support@googlegroups.com, if interested in collaboration on integrating specific countries. Future Updates and Announcements Updates are now being produced annually, and a beta version of 3.10 is already under development, extending most data to 2022. To stay updated, join the EXIOBASE group on LinkedIn and/or reach out to exiobase-support@googlegroups.com. Repository content and structure The table below provides an overview of main elements of EXIOBASE and the groups of satellite accounts available. Name Short description Reference Latest data year IO economic core Economic MRIO tables Wood et al. (in progress) & Stadler et al. (2018) 2020 Air emissions (Non-combustion) Non-combustion emissions accounts based on the PRIMAP database. Stadler et al. (2018) 2022 Air emissions (combustion) Combustion emissions accounts based on the energy use accounts. Rasul et al. (2024) & Stadler et al. (2018) 2020 Energy Energy use accounts based on IEA World Energy Balances. Rasul et al. (2024) 2020 Land (data update coming) Land use accounts based on FAOSTAT. Wood et al. (in pr...