House price and sales index (prc_hpi_inx)

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Statistics Belgium (A division of the Federal Public Service Economy, SMEs, Self-employed and Energy)


Eurostat metadata
Reference metadata
1. Contact
2. Metadata update
3. Statistical presentation
4. Unit of measure
5. Reference Period
6. Institutional Mandate
7. Confidentiality
8. Release policy
9. Frequency of dissemination
10. Accessibility and clarity
11. Quality management
12. Relevance
13. Accuracy
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment
Related Metadata
Annexes (including footnotes)



For any question on data and metadata, please contact: Eurostat user support

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1. Contact Top
1.1. Contact organisation

Statistics Belgium

(A division of the Federal Public Service Economy, SMEs, Self-employed and Energy)

1.2. Contact organisation unit

Economic Statistics - Price Statistics Unit

1.5. Contact mail address

Directorate General Statistics - Statistics Belgium

North Gate - Boulevard du Roi Albert II, 16 - 1000 Brussels


2. Metadata update Top
2.1. Metadata last update 26/01/2024
2.2. Metadata last certified 26/01/2024
2.3. Metadata last posted 26/01/2024


3. Statistical presentation Top
3.1. Data description

The House price index is a quarterly index covering purchases of new dwellings and existing dwellings.

3.2. Classification system

Indexes, weights and growth rates are available according to the specification of the Commission implementing regulation (EU) No 2023/470 (global HPI, purchases of new dwellings, purchase of existing dwellings).

3.3. Coverage - sector

HPI indices cover all residential properties purchased by households in the reference period. 

3.4. Statistical concepts and definitions

For the primary (since 2013) and secondary market related indexes, the database of the Land Registry is used. This covers all the transactions of properties across the whole territory. Full transaction prices including the value of land are used.

Weights for purchase of new dwellings are estimated on basis of national accounts (following ESA 2010 standards) data. Data of the land registry is used to obtain a weight for the purchase of existing dwellings (total value of the dwellings transacted on the secondary market are calculated for each type of property).

The HPI is a chain-linked Laspeyres index. The current reference year is 2015.

3.5. Statistical unit

Private households.

3.6. Statistical population

The target population is the set of all transactions of dwellings purchased by households. 

3.7. Reference area

The whole Belgian market for residential properties purchased by households is covered.

3.8. Coverage - Time

Data are available since 2005 for all index series.

3.9. Base period

The HPI is a chain-linked Laspeyres index. The current reference year is 2015.


4. Unit of measure Top

Index with reference year 2015  and growth rates are available. Weights are given in parts in 1000.


5. Reference Period Top

HPI is a quarterly statistics.


6. Institutional Mandate Top
6.1. Institutional Mandate - legal acts and other agreements

Commission Regulation (EU) No 2016/792 and Commission Implementing Regulation (EU) 2023/1470.

6.2. Institutional Mandate - data sharing

Not available.


7. Confidentiality Top
7.1. Confidentiality - policy

Regulation (EC) No 223/2009 of the European Parliament and of the Council, of 11 March 2009, on the transmission of data subject to statistical confidentiality to the Statistical Office of the European Communities.

Belgian Statistical Law of 22 March 2006.

7.2. Confidentiality - data treatment

Not applicable, only aggregate indices are published.


8. Release policy Top
8.1. Release calendar

The release dates for HPI indexes are available on the website of Statistics Belgium (https://statbel.fgov.be/en/calendar).

8.2. Release calendar access

The release calendar for all statistics produced by Statistics Belgium is available at the following address: http://statbel.fgov.be/en/statistics/organisation/statistics_belgium/dissemination/release_calendar/

8.3. Release policy - user access

HPI indexes are published on the website of Statistics Belgium (https://statbel.fgov.be/en/themes/housing/house-price-index).


9. Frequency of dissemination Top

Quarterly indices and annual weights are available.


10. Accessibility and clarity Top
10.1. Dissemination format - News release

Online press releases are available on the website of Statistics Belgium (https://statbel.fgov.be/en/themes/housing/house-price-index).

10.2. Dissemination format - Publications

Not available.

10.3. Dissemination format - online database

Tables with HPI indexes and weights are available on the website of Statistics Belgium (https://statbel.fgov.be/en/themes/housing/house-price-index#figures).

10.4. Dissemination format - microdata access

Micro-data is not published.

10.5. Dissemination format - other

Not available.

10.6. Documentation on methodology

HPI methodology is briefly described in a technical note available on the website of Statistics Belgium (https://statbel.fgov.be/en/themes/housing/house-price-index#documents).

10.7. Quality management - documentation

Not available.


11. Quality management Top
11.1. Quality assurance

Statistics Belgium has an own developed quality management system using an independent validation service which validates data before publication or transfer to Eurostat. Another aspect is the use of Quality Indicators for all statistics. Every year the quality of statistics produced by Statistics Belgium are assessed using quality indicators. The criteria used are relevance, accuracy, timeliness, coherence and comparability, cost and burden, process quality and accessibility.

11.2. Quality management - assessment

The quality of the HPI index is assessed on the basis of the technical manual on owner-occupied housing and house price indices published by Eurostat.


12. Relevance Top
12.1. Relevance - User Needs

HPI indices are developed according to the methodology developed by the Real Estate Price Statistics Working Group and in line with Commission Implementing Regulation (EU) 2023/1470 and the handbook on Residential Property Prices Indices published by Eurostat. This methodology is aimed at producing indices which respond to the needs of users interested in studying the behaviour of the housing market. Key users are the ECB, National Central Banks, financial institutions and economic analysts.

12.2. Relevance - User Satisfaction

A user satisfaction survey is carried out by Statistics Belgium. The survey and the results can be found in Statistics Belgium website, in French and Dutch.

12.3. Completeness

All expenditures covered in Commission Implementing Regulation (EU) 2023/1470 regulation are taken into account when they represent at least 5% of expenditures.


13. Accuracy Top
13.1. Accuracy - overall

For existing dwellings, indices are based on administrative data sources which cover the whole universe and thus the accuracy is guaranteed by default. 

However, the land registry data for newly built dwellings do not cover the whole universe because characteristics are often incomplete or not added in timely manner. Therefore, the transactions for dwellings build in the last 5 years are used as a proxy for the index of newly built dwellings for the most recent quarter.

13.2. Sampling error

Non-probability sampling is used.

13.3. Non-sampling error

Not available


14. Timeliness and punctuality Top
14.1. Timeliness

Data are sent within the delays prescribed by Regulation (EU) 2016/792 (t+85 days after the end of the reference period for the indices). Data are published around 90 days after the reference period.

14.2. Punctuality

Not applicable.


15. Coherence and comparability Top
15.1. Comparability - geographical

The HPI indexes are only compiled at the country level. Regional indexes are currently not available put are scheduled to be published in 2024. However, HPI is developed according to the methodology presented in the handbook on Residential Property Prices Indices edited by Eurostat and aimed to be comparable across European countries.

15.2. Comparability - over time

HPI indices are comparable over time.

15.3. Coherence - cross domain

Purchase of existing dwellings partly overlap with statistics on the housing market published on https://statbel.fgov.be/en/themes/housing/real-estate. However, the methodology used in these statistics differs from the methods used in the HPI which only focuses on the household sector and which takes into account quality changes using the hedonic repricing method (see 18.5).

15.4. Coherence - internal

HPI sub-indexes are checked for consistency.


16. Cost and Burden Top
Restricted from publication


17. Data revision Top
17.1. Data revision - policy

The HPI is subjected to revisions according to Implementing Regulation (EU) 2023/1470 

17.2. Data revision - practice

The indexes for the last available quarter should be considered as provisional and are revised a quarter later due to the fact that additional data from the land registry has been obtained. Exceptional revisions are announced via press releases.


18. Statistical processing Top
18.1. Source data

See below.

18.1.1. Prices

For the primary and secondary market related indices (purchase of newly built and existing dwellings), data of the land registry are used. The producer price for the construction sector was used until end of 2012 as a proxy for newly built dwellings.

18.1.2. Weights

Land registry (same as for the prices).

18.1.3. Source data - House Sales indicators

The source data for house sales indicator is the same as for the house price index, namely the data from land registry on real estate transactions.

18.2. Frequency of data collection

All data are collected quarterly.

18.3. Data collection

Administrative data are transferred via SFTP.

18.4. Data validation

Statistical outlier detection methods are applied on the administrative data.

18.5. Data compilation

See below. 

18.5.1. Calculation and Aggregation

See below.

18.5.1.1. Index formulae

The house price index is a Laspeyres-type price index.

18.5.1.2. Aggregation method

HPI subindices are first computed by property type separately. These indices on basis Q4/t-1 are then aggregated using the Laspeyres formula with the relevant weights (see 18.5.1.3).

18.5.1.3. Derivation of sub-index and elementary aggregate weights

Weights of the different items of HPI are annually revised using the most recent national account data (t-2) for new dwellings. Gross fixed capital formation in housing by households is used and is price updated to the last quarter of year t-1. Data on building permits (namely the number of permits issued for renovation or for new constructions) are used to split gross fixed capital formation in housing between purchase of new dwellings and self-build dwellings and major renovations. The latter part is excluded from the HPI weights and is used in OOH weights. The total value for the purchase of building land based on Land registry data is added to include the value of land in the weight for newly built dwellings.

The weights for the purchase of existing dwellings are based on the Land registry data (t-1) and are computed as the total transaction costs for each type of properties on the secundary market.

18.5.1.4. Price updating

The weight for the purchase of newly buit dwellings is based on national account data  from t-2 and is price updated to t-1 using the price index for newly built dwellings. The weight for the purchase of existing dwellings is based on transaction data for year t-1 and is therefore not price updated.

18.5.1.5. Chaining and linking method

All sub-indices are first computed based on the fourth quarter of previous year. These short-term indices are then chained to obtain a long-term series and this serie is rebased so that the average of the indices of the reference year (currently 2015) is equal to 100.

18.5.1.6. Compilation of sub-indices

The hedonic repricing method is used to take quality changes into accounts. A log-linear specification is used and parameters are estimated using ordinary least squares for each type of property (house, apartment, and villas). Parameters used include age of the building, comfort characteristics, number of floors, number of rooms, inhabitable area, location). The location is modelled via a clustering analysis to regroup area sharing common characteristics. Regression coefficients and models are updated yearly. 

18.5.1.6.1. Hedonic method

The indices are based on the hedonic repricing method.

18.5.1.6.2. SPAR method

Not applicable since the SPAR method is not used.

18.5.1.6.3. Stratification

The indices for the purchase of existing dwellings are compiled for different property types (detached house, semi-detached house and flats). The indices for new dwellings only cover the purchase of flats.

18.5.2. Other processing issues

See below.

18.5.2.1. Timing for pricing

The prices at the transfer of ownership are taken into account in all HPI sub-indices.

18.5.2.2. Treatment of VAT

VAT is included in the price of new dwellings.

18.5.2.3. Treatment of other taxes

Taxes other than VAT are not included in the price of existing dwellings.

18.5.2.4. Treatment of government subsidies

Not applicable, this mostly relates to mortgage interest deduction from the income tax.

18.5.2.5. Treatment of land

The price of land is included in both prices and weights.

18.5.2.6. Housing cooperatives

Housing cooperatives do not exist in Belgium.

18.5.2.7. Treatment of non-market transactions

Non-market transactions such as inheritance or sales without full right on the property are excluded from the compilation of house sales indicators and house price indices since the prices for such transactions are non-market prices and are not relevant for these statistics.

18.5.2.8. Treatment of multi-object transactions

The database contains notarial deeds that appear multiple times in the database. One category is a category of deeds that have been altered several times.  Deeds can consist of acts several properties per deed. In this case a price is not consistently given to the separate properties, making it impossible to use these in the computation of indices. Deeds with multiple properties can in some cases be regrouped to a single deed. An example can be a deed with a house with an extra piece of land and a garage can be regrouped to a single observation, or an apartment with an extra cellar. The notarial deeds with a single observation and with deeds regrouped to a single observation are used to calculate the indices for the secondary market. However, the notarial deeds with single and multiple properties are used in the calculation of the weights.

18.5.2.9. Treatment of fractional transactions

Only deeds on the full value of the transaction are taken into account in the house price index and in the house sales indicators.

18.5.2.10. Outliers detection

Threshold values are used to eliminate transactions with abnormal values for different characteristics (eg: surface, number of rooms) used in the regression models Additionally, the Cook's distance method is used to identify the outliers. Observations having a Cook's distance higher than a pre-determined threshold based on the total number of observations are excluded from the computation of the indices.

18.5.2.11. Treatment of incomplete data source coverage

House sales indicators are currently compiled for existing dwellings because no suitable data source has been found to include new dwellings in the coverage. No adjustment are made for incompelete data source coverage for house sales indicators for existing dwellings. However, the results for the last quarter are always considered provisonal because all transactions are not registrated at the date of first publication (t + 3 months). The results of the last quarter are then revised at the next publication when the data can be considered virtually complete.

We can however observe that after 3 months, 97% of the transactions are registered. After 6 months, this share goes up to 99%.  We can therefore conclude that revisions to the previously published results will be needed for at most up to 6 months. However, these revisions are likely to be limited.

18.6. Adjustment

No adjustments other than quality adjustment are applied to the HPI data.


19. Comment Top

None.


Related metadata Top


Annexes Top