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The Federal Planning Bureau (FPB) is a public agency. The FPB makes studies and projections on economic, social and environmental policy issues and on their integration within the context of sustainable development. For that purpose, the FPB collects and analyses data, explores plausible evolutions, identifies alternatives, evaluates the impact of policy measures and formulates proposals. Government, parliament, social partners and national and international institutions appeal to the FPB's scientific expertise. The FPB provides a large diffusion of its activities. The public is informed of the results of its research activities, which contributes to the democratic debate.


  • 8th Policy Workshop: The Belgian Energy System towards 2050 - Where are we heading to? (21/11/2014)

    On October 17, 2014, the Federal Planning Bureau presented the fifth edition of its tri-annual long-term energy outlook. The core messages of the publication will be summarised by the two authors of the report. Three stakeholder representatives will be given the opportunity to challenge the conclusions of the report. There will be ample room for an open discussion with the audience.

    More information :

  • Consumer Price Index & Inflation forecasts (04/11/2014)

    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.

  • Transport indicators (28/10/2014)

    To evaluate the current state of the Belgian economy, the FPB regularly updates a series of indicators that are discussed in the Short Term Update, which is published four times per year. Two editions of this publication (May and December) are dedicated to business cycle related indicators, while the other two deal with developments in structural indicators (March) and transport indicators (September).

  • Job Opportunities (22/07/2014)

    In light of its new missions assigned by the federal government, the Federal Planning Bureau is recruiting several economists in the fields of social security, public finance, labour market, environment and structural policy, as well as an IT engineer.

  • A new Commissioner of the Federal Planning Bureau : Philippe Donnay (26/05/2014)

    Philippe Donnay began his career in 1999 as macroeconomist with Bank Degroof. From 2004 to 2006, he was Director of the Centre d’études politiques, économiques et sociales (Cepess) and economic, financial and budget advisor to the president of the CDH.

    After a spell as chief economist with the FEB from 2006 to 2007, he was appointed deputy principal private secretary early 2008 and later principal private secretary (general policy cell) to the Deputy Prime Minister and Minister of Employment and Equal Opportunities, Joëlle Milquet. At the end of 2011, he was appointed principal private secretary of her general policy cell and strategic cell for home affairs.

    On 1 May 2014, Philippe Donnay was appointed Commissioner of the Federal Planning Bureau.

  • CMTEA Workshop “Revival of the medium-term outlook in times of crisis” (01/02/2013)

    In the recent past, medium-term projections were given less attention than short-term analyses. However, things appear to have evolved and mid-term prospects seem to be enjoying a renewed interest. Since the outbreak of the financial crisis, many countries have been confronted with large imbalances in terms of high unemployment, unused production capacities or financial deficits. In the longer term, demographic changes, including population ageing, are likely to cause massive changes in the composition of GDP. Addressing these various challenges can only be considered in the context of medium- and long-term scenarios.

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Consumer price index & Inflation forecasts

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.

Economic forecasts

This section provides economic forecasts from various institutions (the European Commission, the Federal Planning Bureau, the OECD, etc.) for Belgium and the euro area. The overview tables are updated four times a year and comprise GDP growth, inflation, and general government net lending.

  • A methodology for household projections: the HPROM model (Household PROjection Model) (27/11/2014)

    This Working Paper presents the methodology the Federal Planning Bureau currently utilizes to draw up the Belgian household projections by 2060. This methodology allows for detailed projections of the number of households (at the district level) by household type and according to the factual situation and not the legal situation. Thus, the projections include the different forms of living arrangements, such as cohabitation, single-parent families, single households, etc. They also guarantee the coherence with the national population projections which have been published by the Federal Planning Bureau and the Directorate-General of Statistics for several years and are based on the so-called component method.

  • Modal choice for travel to work and school - Recent trends and regional differences in Belgium (20/10/2014)

    Recent transport research suggests that car use is reaching its saturation level in many advanced economies. Particularly in metropolitan areas, car use is declining in favour of slow and public transport modes. Also young adults are found to have shifted travel preferences away from private cars. Looking at changes in transport modes for travel to work and school, we find similar trends in Belgium. The results are based on recent mobility data from the Belgian Labour Force Survey (LFS) and the Socio-Economic Survey of 2001.

  • Structurele determinanten van de publieke gezondheidszorguitgaven (20/10/2014)

    This paper presents the models developed at the FPB to project public spending on curative care and long-term care in the medium and long term. The variables explaining curative care spending are income, the age composition of the population, the unemployment rate and technological and medical progress. This variable is approximated using two indicators, the number of new drug approvals (Farmanet data) and the approvals for non-pharmaceutical products (Food and Drug Administration data). With the exception of the latter, all drivers mentioned above increase the cost of curative care. As for long-term care spending, it is explained by income, the proportion of older people in the population and their life expectancy. Long-term care spending is positively impacted by income and ageing. Yet, due to the increase in life expectancy, the impact of ageing shifts gradually towards the oldest age group.

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