The statistics and projections are based on the principles of the Eurostat energy balances. The projections are mainly generated with the aid of the energy model PRIMES. This file completes the publication “The Belgian energy landscape by 2050 : an outlook assuming no changes in policy” which is updated every 3 years. The file contains data for the period 2015-2050.

The Air Emissions Accounts present the emissions of CO₂, CH₄, N₂O, HFC, PFC, SF₆, CFC, HCFC, SO₂, NO_x, NH₃, NMVOC, CO, PM₁₀ and PM_2.5 expressed in physical units by economic activity (NACE Rev.1.1) and for three household consumption categories (heating, transport, other), over the period 1990/95-2008.

The Air Emissions Accounts present the emissions of CO₂, CH₄, N₂O, HFC, PFC, SF₆, SO₂, NO_x, NH₃, NMVOC, CO, PM₁₀, PM_2.5 expressed in physical units by economic activity (NACE Rev.2 A64) and by three household consumption categories (heating, transport, other). Emissions accounts are available for the period 2000-2017.

These accounts present the evolution of the domestic extraction of and the international trade in four types of materials (biomass, metal ores, non-metallic minerals, and fossil energy materials/-carriers) during the period 2008-2017.

The energy use account presents the yearly energy use of all Belgian residents over the period 1990-2008. The use in terajoules of 17 different energy vectors is presented by economic activity (NACE Rev.1.1) and for three household consumption categories (heating, transport, other).

These accounts present the evolution and composition by environmental domain and industry of the environmental goods and services sector during the period 2014-2017.

These accounts present the evolution and composition by environmental domain and institutional sector of the output of environmental protection services and of environmental protection expenditure during the period 2014-2017.

This account presents the distribution of three types of environmental taxes (taxes on energy, taxes on transport and taxes on pollution and resources) across industries (NACE Rev.1.1), households and non-residents for the period 1997-2008.

This account presents the distribution of four types of environmental taxes (taxes on energy, taxes on transport, taxes on pollution and taxes on resources) across industries (NACE Rev.2 A64), households and non-residents for the period 2008-2017.

The physical energy flow accounts record energy flows which circulate in the economy and between the economy and the environment. These flows are grouped into three generic categories: the natural energy inputs (from the environment to the economy) the energy products (inside the economy) and the energy residuals (from the economy mostly to the environment). The PEFA report energy flows following their origin and destination. The origin or the destination of an energy flow is divided into five categories: production by industry (NACE Rev.2 A64), household consumption (heating, transport, other), accumulation, rest of the world and environment.

The PEFA are available for the period 2008-2017.

This database contains annual series covering the period 1996-2020. The forecasts take into account Part 2 of the 2018 national accounts as well as the quarterly aggregates until the third quarter of 2019 and the GDP flash estimate for the fourth quarter. These forecasts have been approved by the board of the National Accounts Institute and by the Scientific Committee for the economic budget.

This database forms the statistical annex of the most recent medium-term outlook for the Belgian economy. It contains yearly figures for Belgium covering the period 1996-2025. The data are derived from the HERMES model.

In this database, domestic employment, labour volume (hours worked) and the wage costs of wage earners are broken down per industry (A38 of Nace rev. 2) according to gender, age group and education level. The breakdowns of employment and labour volumes are available for domestic employment as a whole and for wage earners and self-employed people separately. The database provides annual results for the period 1999-2015 and corresponds with the last edition of the national accounts (October 2016).

This database forms the statistical annex of the regional economic outlook for Belgium, which is published every year in July.

Monthly evolution of the consumer price index and of the so-called health index, which is used for the price indexation of wages, social benefits and house-rent.

This database contains annual series covering the period 1996-2020. The forecasts take into account Part 2 of the 2018 national accounts as well as the quarterly aggregates until the third quarter of 2019 and the GDP flash estimate for the fourth quarter. These forecasts have been approved by the board of the National Accounts Institute and by the Scientific Committee for the economic budget.

This database forms the statistical annex of the most recent medium-term outlook for the Belgian economy. It contains yearly figures for Belgium covering the period 1996-2025. The data are derived from the HERMES model.

This database forms the statistical annex of the regional economic outlook for Belgium, which is published every year in July.

This database contains annual series covering the period 1996-2020. The forecasts take into account Part 2 of the 2018 national accounts as well as the quarterly aggregates until the third quarter of 2019 and the GDP flash estimate for the fourth quarter. These forecasts have been approved by the board of the National Accounts Institute and by the Scientific Committee for the economic budget.

This database forms the statistical annex of the most recent medium-term outlook for the Belgian economy. It contains yearly figures for Belgium covering the period 1996-2025. The data are derived from the HERMES model.

The data in this section refer to the years 1980, 1985 and 1990 and relate to the input-output tables, the matrices of pure technical coefficients and the Leontiev inverse matrix. The tables were drawn up according to the European System of Accounts 1979 (ESA79).

The 1995 and 2000 input-output tables were drawn up according to the European System of Accounts (ESA95), which entails a break with the earlier 1979 ESA tables. There are differences in the industry and product classifications, as well as at the conceptual level. The data are published in the form of 12 60x60 Excel tables.

The 2005 and 2010 input-output tables have been calculated according to the European System of Accounts 1995 (ESA 95). The data are published in a set of 10 tables and are available at three aggregation levels of Nace Rev. 1.1 for the year 2005 (17x17, 31x31 and 60x60) and at the aggregation level of 64x64 of Nace Rev. 2 for the year 2010.

The input-output system for 2010 was calculated in line with the rules of the European System of Accounts 2010 (ESA 2010). The data are published in a set of 10 tables and are available at the aggregation level of 64 industries (A64) and 64 product groups (P64).

The input-output tables for 2015 were calculated in line with the rules of the European System of Accounts 2010 (ESA 2010). Compared to the first version of the 2015 input-output tables published in December 2018, the tables presented here incorporate the occasional revision of the national accounts implemented by Belgium in 2019. The data are published in a set of 10 tables and are available at the aggregation level of 64 industries (A64/NACE REV. 2) and 64 product groups (P64/CPA 2.1).

The input-output tables for 2015 were calculated in line with the rules of the European System of Accounts 2010 (ESA 2010). The data are published in a set of 10 tables and are available at the aggregation level of 64 industries (A64/NACE REV. 2) and 64 product groups (P64/CPA 2.1).

The multipliers presented here include the output, income and employment multipliers of the final demand in Belgium for the years 1995, 2000 and 2005. They were calculated using a series of updated input-output tables at constant prices, in line with the National Accounts published in November 2010.

The multipliers presented here are the output, income and employment multipliers of final demand in Belgium for 2010. They have been calculated with data from the 2010 current price input-output tables, which were published in December 2013. These tables have been constructed following the ESA 1995 and the Nace Rev.2/CPA 2008 industry and product classifications.

The multipliers presented here are the output, income and employment multipliers of final demand in Belgium for 2010. They have been calculated with data from the 2010 current price input-output tables, which were published in December 2015. These tables have been constructed following the ESA 2010 and the Nace Rev.2/CPA 2008 industry and product classifications.

The multipliers presented here are the output, income and employment multipliers of final demand in Belgium for 2015. They have been calculated with data from the 2015 current price input-output tables, which were published in December 2018. These tables have been constructed following the ESA 2010 and the Nace Rev.2/CPA 2.1 industry and product classifications.

The multipliers presented here are the output, income and employment multipliers of final demand for each region for 2010. They have been calculated with data from the 2010 interregional input-output table for Belgium. This table has been constructed by the Federal Planning Bureau in 2015 in cooperation with the statistical authorities of the three Regions (IBSA, SVR and IWEPS). The multipliers are reported at the work format level of disaggregation of the interregional input-output table, i.e. 133 industries for each region.

The multipliers presented here are output, factor income, household income and employment multipliers. They are derived from a model based on a National Accounting Matrix (NAM) for 2010, consistent with the 2010 input-output tables for Belgium published in December 2013 (ESA 1995).

In this database, domestic employment, labour volume (hours worked) and the wage costs of wage earners are broken down per industry (A38 of Nace rev. 2) according to gender, age group and education level. The breakdowns of employment and labour volumes are available for domestic employment as a whole and for wage earners and self-employed people separately. The database provides annual results for the period 1999-2015 and corresponds with the last edition of the national accounts (October 2016).

This database presents the very-long-term outlook of social protection expenditure (budgetary costs of ageing) and the evaluation of the poverty risk among pensioners according to the hypotheses of the Study Committee on Ageing’s reference scenario.

The household projections 2018-2070 are based on the observed population on 1 January 2018. They are provided by district and household type.

They are based on the population projections 2018-2070.

The population projections 2019-2070 are based on the observed population on 1 January. They are provided by district, age and gender.

The data contained in the files are the results of the projection by gender and unisex of the mortality rates (q-type rate) for Belgium made within the framework of the population projections 2019-2070 (according to the method described in WP 18-09). The resulting transversal and longitudinal life expectancies are also included in the file.

This database contains the main variables which provide a better understanding of the evolution in labour productivity in Belgium. It constitutes the Belgian part of the European EUKLEMS project and includes the entire economy, divided into 34 industries and several aggregates over the period 1995-2015.

This database collects data on foreign affiliates of Belgian companies in 1995, 2001 and 2005.  It allows the top 10 entreprise groups for these three years to be established.   It also includes information on the number, the host countries and the activity branch of those affiliates.

This database contains snapshots of government participation in market sector companies in 1997, 2003 and 2009. The main information it presents is the participation distribution by government level, legal status of the company or industry.

The website www.innovationdata.be provides a set of indicators describing the progress made by Belgium and its regions in the field of innovation. Data are also available for the Netherlands, France, Germany, Austria, the United Kingdom, the EU average and the euro area. The website has been developed by the Federal Planning Bureau at the request of the Federal Science Policy, following the Federal Government’s decision to create a transversal technology platform.

In this database, domestic employment, labour volume (hours worked) and the wage costs of wage earners are broken down per industry (A38 of Nace rev. 2) according to gender, age group and education level. The breakdowns of employment and labour volumes are available for domestic employment as a whole and for wage earners and self-employed people separately. The database provides annual results for the period 1999-2015 and corresponds with the last edition of the national accounts (October 2016).

The database includes the main measures of the administrative burden for companies and the self-employed in Belgium from the biennial surveys conducted by the Federal Planning Bureau (FPB) since 2000. It also includes a qualitative part, which allows the evolution in the perception of the quality of regulation and of contacts with the administration to be followed.

The site indicators.plan.be has been developed by the Federal Planning Bureau. It brings together economic indicators of various types: structural indicators, investments, human resources, innovation, ITC, etc.

The indicators complementary to the gross domestic product (GDP) provide information on social, environmental and economic issues. Together, they describe the evolution of people's well-being and of the Belgian society. All 67 indicators are available in French and Dutch.

This databank contains the 31 indicators used to make a first assessment of the progress made by Belgium towards the 17 Sustainable Development Goals by 2030 adopted by the UN. The data used to evaluate/assess each indicator is also presented.

The mobility and transport indicators database provides detailed data on the condition and evolution of transport and mobility in Belgium. The database is developed in cooperation with the FPS Mobility and Transport (website).

The Excel files gathered in this database complement the publication “Transport outlook for Belgium towards 2040”, which is updated every three years.