Owner occupied housing price index (prc_hpi_oo)

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Statistics Norway


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)



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1. Contact Top
1.1. Contact organisation

Statistics Norway

1.2. Contact organisation unit

Division for Price Statistics

1.5. Contact mail address

Statistics Norway P.O. Box 8131 Dep. NO-0033 Oslo NORWAY


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 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.

3.2. Classification system

The OOHPI is broken down into the following expenditure categories:

  • O.1. Owner-occupiers’ housing expenditure;
    • O.1.1. Acquisitions of dwellings;
      • O.1.1.1. New dwellings;
        • O.1.1.1.1. Purchases of newly built dwellings;
        • O.1.1.1.2. Self-build dwellings and major renovations;
      • O.1.1.2. Existing dwellings new to households;
      • O.1.1.3. Other services related to the acquisition of dwellings;
    • O.1.2. Ownership of dwellings;
      • O.1.2.1. Major repairs and maintenance;
      • O.1.2.2. Insurance connected with dwellings;
      • O.1.2.3. Other services related to ownership of dwellings.
3.3. Coverage - sector

Households which are owner occupiers.

3.4. Statistical concepts and definitions

The main statistical variables are price indices.

3.5. Statistical unit

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.

3.6. Statistical population

Owner occupied dwellings

3.7. Reference area

Data are available for the country as a whole, there is no regional analysis. In comparison, the national HPI is published for different regions.

3.8. Coverage - Time

The time series of OOHPI start in 2010.

3.9. Base period

2015=100


4. Unit of measure Top

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).


5. Reference Period Top

OOHPI is a quarterly statistics.


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

The basic act providing for the compilation of the harmonised indices of consumer prices (HICP) is the European Parliament and Council Regulation (EU) 2016/792 of 11 May 2016The basic act is implemented by Commission Regulation (EU) 2023/1470 of 17 July 2023.

6.2. Institutional Mandate - data sharing

None.


7. Confidentiality Top
7.1. Confidentiality - policy

Data is published up to the level of detail described in the Commission Regulation.

7.2. Confidentiality - data treatment

Not relevant.


8. Release policy Top
8.1. Release calendar

There is no national publication of the OOHPI. The OOHPI is an aggregate of different existing statistics that is published separately at Statistics Norway’s website such as the national HPI, construction cost index for residential buildings and labour cost indices.

8.2. Release calendar access

Not relevant.

8.3. Release policy - user access

Not relevant.


9. Frequency of dissemination Top

Quarterly (OOHPI) and annually (weights)


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

Not relevant.

10.2. Dissemination format - Publications

Not relevant.

10.3. Dissemination format - online database

Not relevant.

10.4. Dissemination format - microdata access

Micro-data is not disseminated.

10.5. Dissemination format - other

Not relevant.

10.6. Documentation on methodology

As there is no national dissemination, no documentation on methodology is published.

10.7. Quality management - documentation

It is written an internal documentation/publication of the establishment of the OOHPI.


11. Quality management Top
11.1. Quality assurance

OOHPI is to a large degree based upon already existing statistics which are all checked for completeness and consistency on their own. The aggregation of the different components is following basic HICP procedures and practices. The indices are calculated in SAS and treated consistently. All indices are controlled and reviewed before transmitted to Eurostat. Separate consistency checks are performed.

11.2. Quality management - assessment

Not available.


12. Relevance Top
12.1. Relevance - User Needs

As there is no national dissemination of the data, there is no information on user needs, but the published HPI is widely used by the public sector (the Ministries, Norges Bank, etc) and the financial industry. It is also used by people with an interest in the housing market, for instance private persons, research institutions and the media. The index is an important indicator for sellers and buyers of dwellings as well as for valuation and estate agencies.

12.2. Relevance - User Satisfaction

No information.

12.3. Completeness

The OOH price indices do not fully meet the specifications set out in the Regulation as the OOH price index of self-built dwellings and major renovations is based on the construction cost statistics and is not consumer prices. 


13. Accuracy Top
13.1. Accuracy - overall

There are no estimates of overall accuracy of the OOH price indices.

13.2. Sampling error

Sampling errors are not calculated.

13.3. Non-sampling error

No quantitative assessments of non-sampling errors are made.


14. Timeliness and punctuality Top
14.1. Timeliness

There is no national dissemination of the OOHPI.

The time lag between the end of the period to which the different OOH price indices relate and the production of OOHPI differ according to the different sub-indices. The HPI for new dwellings is available no later than 85 days after the quarter in question. The HPI for existing dwellings can be calculated 2-3 weeks after the quarter in question. The construction cost index is monthly, published normally approx. 10 days after the month in question. 'Major repairs & maintenance' is partly based on labour cost index statistics which is available at the latest approximately 70 days after the quarter in question. Prices of materials are available at the end of the month in question.

14.2. Punctuality

Data is delivered to Eurostat on target date.


15. Coherence and comparability Top
15.1. Comparability - geographical

The OOHPI has no regional breakdown.

15.2. Comparability - over time

The OOHPI has not suffered any breaks in continuity since the start of production. As of 2 quarter 2016 the OOHPI is revised back to 2011 due to a new HPI for new dwellings. Earlier the HPI for existing dwellings has been used as a proxy. 

15.3. Coherence - cross domain

There are no other national statistics or sources of OOH data.

15.4. Coherence - internal

The HPI for new dwellings is used for OOHPI for new dwellings. Consistency checks (controls of rates of change) are made throughout the editing and calculation process.


16. Cost and Burden Top

The OOHPI is mainly based on already existing statistics. It does involve respondent burden, but data is used for multiple statistics. The time used to fill out web questionnaires (consumer prices of materials) is estimated to approx. 10 minutes per month, more for the construction cost indices.

The annual cost for working on the OOHPI in the Division of price statistics is low.


17. Data revision Top
17.1. Data revision - policy

General HICP data revision policy is followed.

17.2. Data revision - practice

The OOHPI data is not subjected to periodic and systematic revisions. As of 2 quarter 2016 the OOHPI is revised back to 2011 due to a new HPI for new dwellings. Earlier the HPI for existing dwellings has been used as a proxy.


18. Statistical processing Top
18.1. Source data

 See below.

18.1.1. Prices

Different data sources are used for the OOHPI. The main sources of prices are electronic reporting from large entrepreneurs, transaction data from the real estate sector, construction cost statistics, online price data, HICP, labour cost index statistics and insurance premiums.

18.1.2. Weights

External weights are based on National Account (NA) while internal weights are based on administrative data, industry data and HBS. NA weights exclude land value while internal weights include land value.

18.2. Frequency of data collection

Some data is collected monthly such as construction costs and consumer prices, while others are collected quarterly.

18.3. Data collection

Data is mainly obtained by electronic data files, through web questionnaires or collected online.

18.4. Data validation

Systematic methods are put in place to check and validate the source data.

18.5. Data compilation

See below.

18.5.1. Calculation and Aggregation

See below.

18.5.1.1. Index formulae

OOHPI is a Laspeyres-type price index.

18.5.1.2. Aggregation method

The index is aggregated from the lowest level (elementary aggregate) and directly up to the respective aggregates including the OOHPI total

18.5.1.3. Derivation of sub-index and elementary aggregate weights

Sub-index and elementary aggregate weights are based on national accounts data. Reference period is t-2 for sub-index weights. OOHPI weights are updated yearly.

18.5.1.4. Price updating

We assume t-2 figures are representative of t-1, but we price update to the price reference period fourth quarter. 

18.5.1.5. Chaining and linking method

The OOH index is an annually chained index, chained in the fourth quarter t-1, i.e. fixed price reference period is the fourth quarter t-1.

18.5.2. Other processing issues - OOH sub-indices for purchases of newly built dwellings and existing dwellings new to households

See below.

18.5.2.1. Timing for pricing

Index of newly built multi-dwelling houses: first binding contract Index of newly built detached houses: price when dwellings are registered completed and notified Existing dwellings new to households: first binding contract.

18.5.2.2. Treatment of VAT

VAT is included in the price of newly built dwellings.

18.5.2.3. Treatment of other taxes

Other taxes are not included in the price of dwellings.

18.5.2.4. Treatment of government subsidies

Not relevant.

18.5.2.5. Treatment of land

Land is included in the price measurement of the OOHPI, but not in the weights (Net weight gross price approach.)

18.5.2.6. Housing cooperatives

Housing cooperatives are included. Price measured is transaction price + share of the joint debt.

18.5.2.7. Treatment of non-market transactions

Non-market transactions are excluded from the OOHPI.

18.5.2.8. Treatment of multi-object transactions

Multi-object transactions are not included in our population.

18.5.2.9. Treatment of fractional transactions

Shares in housing cooperatives is included in the OOHPI sub-indices for purchases of newly built dwellings and existing dwellings new to households.

18.5.3. Other processing issues - OOH sub-indices other than OOH sub-indices for purchases of newly built dwellings and existing dwellings new to households

See below.

18.5.3.1. Elementary aggregate formulae

First prices are aggregated into regional indices by using unweighted geometric mean (Major repair and maintenance)

Index of real estate agency fees are weighted by company and region, Laspeyre type index. For the insurance index, average prices are weighted by company, Laspeyre type index. 

18.5.3.2. Replacements

For major repair and maintenance, variety replacement is done on a regular basis, and if necessary, quality adjustments are made.

Representative products are reviewed on an annual basis, and updated if necessary.

18.5.3.3. Quality adjustment

Implicit quality adjustments are made using imputation methods. Overall mean imputation.

18.5.3.4. Missing prices

Partial or total non-response per web questionnaire may occur. Imputed prices based on similar representative products are used.

18.5.3.5. Discounts and inducements

Discounts are included. 

18.5.3.6. Zero prices

Cases of zero prices have not been relevant.

18.5.3.7. Treatment of VAT

VAT is included in the observed prices

18.6. Adjustment

None.


19. Comment Top

None.


Related metadata Top


Annexes Top