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Owner occupied housing price index (prc_hpi_oo)

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National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: National Statistics Office (Malta)

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The Owner-Occupied Housing Price Index (OOHPI) is based on the ‘net acquisitions’ approach, which measures changes in prices paid by households for the acquisition of dwellings that are new to the household sector and changes in other costs related to the ownership, and transfer of ownership, of dwellings.

5 November 2025

The main statistical variables are price indices.

The basic unit of statistical observation are transaction prices of dwellings new to the household sector and of other products that the households acquire in their role as owner-occupiers.

The target population is the set of all transactions of apartments, maisonettes and houses new to the household sector and that are purchased for own use by private households, and those for which costs have been incurred in order to maintain for own use by private households.

Data are available for Malta and Gozo as a whole for total OOHPI. 

OOHPI is a quarterly statistics.

The OOHPI is deemed to be accurate and to depict a realistic picture of the property market, even though it is subject to a potential bias emanating from the omission of important variables.  We are considering alternative sources to address the problem.

The following units are used:

  • Index point;
  • Percentage change on the same period of the previous year (rates);
  • Percentage change on the previous period (rates);
  • Percentage share of the total (weights).

  See below.

 See below.

The OOHPI is disseminated to every quarter, whilst the weights are dissemianted annually.

Data are sent according to the OOH/HPI Regulation data transmission guidelines for quarterly indices. The OOHPI is not published on a national level.

Data are comparable across NUTS II regions.  

The subindex for the Purchases of newly built dwellings was revised from 2023 Q1 onwards, whilst making use of the Splicing Technique to compensate for the break in series when linking with the old index. This allows the continuity of the index by joining the two time series at one specific time period.