House price and sales index (prc_hpi_inx)

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: State Data Agency (Statistics Lithuania)


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

State Data Agency (Statistics Lithuania)

1.2. Contact organisation unit

Price Statistics Division

1.5. Contact mail address

29 Gedimino Ave.
LT-01500 Vilnius
Lithuania


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 indices give comparable measures for dwellings prices. They are calculated according to a harmonised approach and a single set of definitions. The House Price Index (HPI) is a price index that measures the changes in the transaction prices of dwellings that households purchase. The data on the HPI are provided in the form of an overall index number comprising two sub-indices: 'Purchases of new dwellings' and 'Purchases of existing dwellings'.

The House price index is based on harmonised definitions and concepts laid down in Regulation (EU) 2016/792 of the European Parliament and of the Council of 11 May 2016 on harmonised indices of consumer prices and the house price index, and repealing Council Regulation (EC) No 2494/95, Commission Implementing Regulation (EU) 2023/1470 of 17 July 2023 laying down the methodological and technical specifications in accordance with Regulation (EU) 2016/792 of the European Parliament and of the Council as regards the house price index and the owner-occupied housing price index, and amending Commission Regulation (EU) 2020/1148, and in the Technical Manual on Owner-Occupied Housing and House Price Indices.

3.2. Classification system

Index numbers, weights and rates of change are made available at the level of detail established by the Regulation (EU) 2023/1470 (H.1. Purchases of dwellings, H.1.1. Purchases of newly built dwellings, H.1.2. Purchases of existing dwellings).

3.3. Coverage - sector

The HPI covers the whole household sector, in particular the expenditure on purchases of dwellings carried out by households over the whole national territory.

3.4. Statistical concepts and definitions

The HPI covers all dwellings purchased by households regardless of their final use. The HPI covers not only dwellings that are new to the household sector but also all dwellings purchased from other households. The sub-index for ‘Purchases of new dwellings’ covers mainly dwellings purchased from the non-household sector; the sub-index for ‘Purchases of existing dwellings’ covers both dwellings purchased from the non-household and the household sector.

Index figures for the purchased new and existing dwellings are compiled on the basis of full transaction prices, which are collected through the use of an administrative data source – the Database of  the Real Property Register and the Database of Transactions registry objects owned. The database is owned by the state enterprise Centre of Registers. Transaction prices include the value of land but exclude the price of other objects purchased during dwelling transaction.

The HPI is annually chain-linked Laspeyres-type price index. HPI data published by Statistics Lithuania are presented in the form of index numbers (current index reference period is 2015 (2015=100)) and quarterly, annual and average annual rates of change.

3.5. Statistical unit

Dwellings of private households and land purchased together with the dwelling.

3.6. Statistical population

The target population is the set of all dwellings purchased by households. The household sector includes all individuals irrespective of the type of area in which they live, their position in the income distribution and their nationality or residence status.

3.7. Reference area

Data are available for the country as a whole, Vilnius municipality and territory of the country without Vilnius city municipality levels.

3.8. Coverage - Time

Data are available since the first quarter of 2006 for all HPI time series.

3.9. Base period

The HPI released by Statistics Lithuania is a chain-linked Laspeyres-type price index that uses 2015 as an index reference year, year t-1 as a weight reference period, and fourth quarter of t–1 as price reference period.


4. Unit of measure Top

The following units of measure are used in the Lithuanian HPI price index:

  • Index – equal 100 in the reference period.
  • Rates of change – per cent;
  • Weights – as parts in 1000.


5. Reference Period Top

The quarterly indices compiled represent the whole calendar quarter.


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

Legal acts and other agreements - EU level:

Regulation (EU) 2016/792 of the European Parliament and of the Council of 11 May 2016 on harmonised indices of consumer prices and the house price index, and repealing Council Regulation (EC) No 2494/95.

Commission Implementing Regulation (EU) No 2023/1470 of 17 July 2023 laying down the methodological and technical specifications in accordance with Regulation (EU) 2016/792 of the European Parliament and of the Council as regards the house price index and the owner-occupied housing price index, and amending Commission Regulation (EU) 2020/1148.

Legal acts and other agreements - national level:

There is no specific Lithuanian legislation for the production of the HPI.

A Law on Statistics of the Republic of Lithuania is the main national legal act regarding official statistics. The production of the HPI is included in the annual Official Statistics Work Programme. The HPI is calculated based on the methodology of the Lithuanian HPI production approved on 26 April of 2018 by Order No DĮ-94 of the Director General of Statistics Lithuania.

Contract signed between Statistics Lithuania and the owner of administrative data on dwelling transactions – state enterprise Centre of Registers.

Access to administrative data:

None.

6.2. Institutional Mandate - data sharing

For the HPI calculation, data on dwelling transactions are received from the state enterprise Centre of Registers according to the contract on preparation and provision of statistical data and information.


7. Confidentiality Top
7.1. Confidentiality - policy

EU level:

Regulation (EC) No 223/2009 of the European Parliament and of the Council of 11 March 2009 on European statistics and repealing Regulation (EC, Euratom) No 1101/2008 of the European Parliament and of the Council on the transmission of data subject to statistical confidentiality to the Statistical Office of the European Communities, Council

National level:

Law on Statistics of the Republic of Lithuania.

Law on Legal Protection of Personal Data of the Republic of Lithuania.

7.2. Confidentiality - data treatment

Confidential data are treated according to the Regulation (EC) No 223/2009 of the European Parliament and of the Council of 11 March 2009.

According to the Law on Statistics, Statistics Lithuania cannot publish, or otherwise make available to any individual or organization, statistics that would enable the identification of data for any individual or entity.

In practice, HPI is published up to the level of detail described in the Commission Regulation (EU) No 2023/1470.


8. Release policy Top
8.1. Release calendar

Statistical information is published in accordance with an approved release calendar.

8.2. Release calendar access

The calendar is placed on the Official Statistics Portal of Statistics Lithuania.

8.3. Release policy - user access

The data is disseminated to all users through the Official Statistics Portal. The data are released simultaneously to all interested parties by issuing a news release on changes in dwelling prices and updating the information on the Database of Indicators on the Official Statistics Portal. At the same time the news release is also e-mailed to the media. The news release is issued in Lithuanian only.

The Database of Indicators is available in on the Official Statistics Portal in Lithuanian and English.


9. Frequency of dissemination Top

Quarterly for the HPI and annual for weights.


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

The news release provides information on the quarterly, annual and average annual rates of change in housing prices, a brief methodology description and analysis.

10.2. Dissemination format - Publications

The HPI is published in the Statistical Yearbook of Lithuania (price indices, as compared to the index reference period 2015 (2015 = 100), and average annual rates of change; the total HPI and price sub-indices for new and existing dwellings.

10.3. Dissemination format - online database

Database of Indicators of the Official Statistics Portal

10.4. Dissemination format - microdata access

Micro-data are not accessible for any users.

10.5. Dissemination format - other

The HPI dissemination is available upon request.

10.6. Documentation on methodology

The HPI price index methodology (only in Lithuanian) is published on the Official Statistics Portal.

The HPI price index metadata is available in both Lithuanian and English on the Official Statistics Portal.

10.7. Quality management - documentation

General quality assurance framework in Statistics Lithuania.


11. Quality management Top
11.1. Quality assurance

The quality of statistical information and its production process is ensured by the provisions of the European Statistics Code of Practice and ESS Quality Assurance Framework

In 2007, a quality management system, conforming to the requirements of the international quality management system standard ISO 9001, was introduced at Statistics Lithuania. The main trends in activity of Statistics Lithuania aimed at quality management and continuous development in the institution are established in the Quality Policy. Monitoring of the quality indicators of statistical processes and their results and self-evaluation of statistical survey managers is regularly carried out in order to identify the areas which need improvement and to promptly eliminate the shortcomings.

11.2. Quality management - assessment

Data quality is in line with the relevance, accuracy and reliability, timeliness and punctuality, comparability and compatibility criteria.

Quarterly checks against errors and mistakes in price data are carried out. The verification of the data received is carried out using a data verification program. Computerised and manual checks are undertaken at various stages of index compilation.

HPI results are analyzed. The errors which could have an impact on the final results search are performed. A self-assessment of statistical survey managers, based on a detailed checklist for quality assessment of surveys is carried out periodically.


12. Relevance Top
12.1. Relevance - User Needs

The HPI corresponds to the main needs of users. The main users of the HPI price index are the Bank of Lithuania, Ministry of Finance of the Republic of Lithuania, the European Central Bank, Eurostat, business and research communities, the media.

12.2. Relevance - User Satisfaction

Not available.

12.3. Completeness

All relevant expenditure categories defined in the Commission Regulation (EU) No 2023/1470 are compiled and published.


13. Accuracy Top
13.1. Accuracy - overall

The HPI is considered to be accurate and reflect the overall behaviour of the housing market well.

Basic errors occur due to incorrect data entry. The number of input errors is reduced by implementing data validation functions into programs used for the validation of primary data.

13.2. Sampling error

The HPI is based on an exhaustive administrative data source – the Database of  the Real Property Register and the Database of Transactions of the state enterprise Centre of Registers. It covers the all dwellings purchased and registered.

13.3. Non-sampling error

Not available.


14. Timeliness and punctuality Top
14.1. Timeliness

Statistical information is published not later than in 72-74 days after the end of the reference quarter.

14.2. Punctuality

Statistical information is published in accordance with an Official Statistics Calendar. In case of delay, users are notified in advance by indicating the reason and a new date of publication.


15. Coherence and comparability Top
15.1. Comparability - geographical

The Lithuanian HPI is compiled at the following territorial breakdown: total, Vilnius city municipality, and the territory without the Vilnius city municipality; dwelling type breakdown: houses and flats. The HPI is comparable at the national level and EU level.

15.2. Comparability - over time

HPIs are fully comparable over time.

15.3. Coherence - cross domain

There is only one set of HPIs available.

15.4. Coherence - internal

The HPI is internally coherent. Elementary price indices are consistently aggregated to higher-level price indices.


16. Cost and Burden Top

Not available.


17. Data revision Top
17.1. Data revision - policy

HPI data is revisable.

17.2. Data revision - practice

Revisions are performed in accordance with the Regulation (EU) 2023/1470.


18. Statistical processing Top
18.1. Source data

See below.

18.1.1. Prices

Index numbers are compiled using an administrative source – the Database of the Real Property Register and the Database of Transactions of the state enterprise Centre of Registers. All dwellings purchased by households are covered.

18.1.2. Weights

HPI weights are based on dwelling transaction values. The partition of the total HPI weight into new and existing dwellings is done using information available from the same source as used for prices.

18.1.3. Source data - House Sales indicators

The main data source to compile House Sales indicators is admistrative, the Database of the Real Property Register and the Database of Transactions of the state enterprise Centre of Registers.

18.2. Frequency of data collection

Data are supplied quarterly.

18.3. Data collection

Administrative data are received in electronic form according to the contract signed between Statistics Lithuania and the state enterprise Centre of Registers.

18.4. Data validation

Data validation procedures: Data are checked at the level of individual transaction using statistical price data validation software.

Completeness check: The completeness of the transactions data received from the administrative data source is checked via checking of number of transactions provided. According to Lithuanian legislation, the dwelling purchase-selling contract is registered in the Database of the Real Property Register and the Database of Transactions in 24 hours after the contract is notarized. Therefore, there is no need to check any other completeness of transactions.

Treatment of missing transactions/missing information for price or other variable: Missing variables which are necessary for the allocation of a certain transaction are imputed using available variables (e.g., the number of rooms is calculated using the dwelling area). There were no cases when information on price was missing.

18.5. Data compilation

See below.

18.5.1. Calculation and Aggregation

See below.

18.5.1.1. Index formulae

HPI is a Laspeyres-type price index.

18.5.1.2. Aggregation method

Elementary price indices are aggregated to higher-level price indices according to the Laspeyres formula using housing purchase values as base weight.

18.5.1.3. Derivation of sub-index and elementary aggregate weights

Sub-index and elementary aggregate weights are based on data on household expenditure on transacted dwellings. Weight reference period is t-1. HPI weights are updating annually.

18.5.1.4. Price updating

Weight reference period is t-1 year. Weights are price updated to the fourth quarter of the year t-1.

18.5.1.5. Chaining and linking method

The HPI is annually chain-linked Laspeyres-type price index.

18.5.1.6. Compilation of sub-indices

For newly built dwellings and for existing dwellings stratified geometric mean index  is applied.

18.5.1.6.1. Hedonic method

Statistics Lithuania do not use hedonic method for HPI.

18.5.1.6.2. SPAR method

Not used.

18.5.1.6.3. Stratification
Restricted from publication
18.5.2. Other processing issues

See below.

18.5.2.1. Timing for pricing

The price of the dwelling is the price in the sale contract. The data are used in the HPI for the quarter in which the sale contract was signed.

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 dwellings.

18.5.2.4. Treatment of government subsidies

Transactions which include government subsidies cannot be identified in the data received from the state enterprise Centre of Registers.

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 are not covered in the HPI. Such phenomenon do not exist.

18.5.2.7. Treatment of non-market transactions

Transactions, which are not registered, not covered in HPI.

18.5.2.8. Treatment of multi-object transactions

Transactions, included more than one property are evaluated and from them dwelling are separated.

18.5.2.9. Treatment of fractional transactions
Restricted from publication
18.5.2.10. Outliers detection

When price data are verified and preliminary price indices are calculated, price indices of elementary aggregates are sorted according to the size of the quarter change and any outlier price indices are further checked. The impact of price change of dwelling belonging to particular strata is calculated.

18.5.2.11. Treatment of incomplete data source coverage

The main data source for House Sales indicators is state enterprise Centre of Registers. In this data sources all transactions are covered.

18.6. Adjustment

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


19. Comment Top

None.


Related metadata Top


Annexes Top