Construction input price index (CIPI)


  1. Contact
  2. Metadata update
  3. Statistical presentation
  4. Measurement unit(s)

  5. Reference period
  6. Institutional mandate
  7. Confidentiality
  8. Release policy
  9. Frequency of dissemination
  10. Accessibility and clarity
  11. Methodological documentation

  12. Quality management
  13. Relevance
  14. Accuracy and reliability
  15. Timeliness and punctuality
  16. Coherence and comparability
  17. Coherence
  18. Response burden

  19. Data revision

  20. Statistical processing
  21. Comments and other information

1 Contact
1.1 Contact organisation

Statistics Lithuania

1.2 Contact organisation unit

Price Statistics Division

1.3 Contact name

Nijole Grigaraviciene

1.4 Contact person function

Chief Specialist

1.5 Contact mail address

29 Gedimino Ave., LT-01500 Vilnius, Lithuania

1.6 Contact email address

1.7 Contact phone number

+370 5 236 4792

1.8 Contact fax number

+370 5 236 4791

2 Metadata update
2.1 Metadata last certified


2.2 Metadata last posted 2020-09-29
2.3 Metadata last update 2020-09-28
3 Statistical presentation

Description of statistical information (main characteristics, purpose)

The objective of the statistical survey on prices for construction cost items – to collect statistical data on prices of representative cost items and to calculate the CIPI for different periods on the basis of those statistical data.

The objective of the production of the CIPI – to determine the general price change over a certain time period for the main cost items of new construction.

The CIPI is used for the calculation of various indicators at constant prices, analysis of the economic development and estimation of inflation processes in the construction sector.


Classifications(s), classification system

Classification of Types of Constructions (CC);

National version (EVRK Rev. 2) of the Statistical Classification of Economic Activities in the European Community (NACE Rev. 2).

3.3 Sector coverage

Groups, divisions and sections of the Classification of Types of Construction.

3.4 Statistical concepts and definitions

Construction input price index (CIPI) is a relative indicator reflecting the overall change in input prices for new construction cost components (materials, exploitation of machines and mechanisms, wages and salaries, etc.) over a certain period of time.

Price index is a relative statistical indicator showing the price change over a certain period of time.

Index reference period is the reference period with the index equated to 100 points. Having the time series of price indices, calculated with a single index reference period, it is possible to determine the CIPI for different periods.

Price reference period is a reference period based on the price level in which the overall change in prices is measured.

Weight reference period is the reference period the data of which are used for calculating index weights.

Weight is the comparative part of the value of a construction cost item in the total construction value in the reference period. The higher the weight, the stronger the effect of change in prices for construction cost items of a certain classification level on the change in prices for construction cost items of the higher classification level.

3.5 Statistical unit

Kind-of-activity unit (KAU)

3.6 Statistical population

1. Construction enterprises whose volume of new construction accounted for the largest share in own account work;

2. Trade enterprises representing the current network of trade in construction materials and products.

3.7 Reference area

The entire territory of the country

3.8 Time coverage

Since August 1994

3.9 Base period



Measurement unit(s)


Weights and rates of change in prices are expressed in per cent.

5 Reference period


6 Institutional mandate
6.1 Legal acts and other agreements

Council Regulation (EC) No 1165/98 of 19 May 1998 concerning short-term statistics (OJ 2004, special edition, volume 20, p. 291), as last amended by Commission Regulation (EU) No 461/2012 of 31 May (OJ 2012 L 142, p. 26).


Data sharing and exchange

7 Confidentiality

Confidentiality policy

In the process of statistical data collection, processing and analysis and dissemination of statistical information, Statistics Lithuania fully guarantees the confidentiality of the data submitted by respondents (households, enterprises, institutions, organisations and other statistical units), as defined in the Confidentiality Policy Guidelines of Statistics Lithuania.

7.2 Confidentiality - data treatment

Description of Statistical Disclosure Control Methods, approved by Order No DĮ-124 of 27 May 2008 of the Director General of Statistics Lithuania.

Integrated Statistical Information System Data Security Regulations and Rules for the Secure Management of Electronic Information in the Integrated Statistical Information System, approved by Order No DĮ-240 of 16 September 2020 of the Director General of Statistics Lithuania.

8 Release policy
8.1 Release calendar

 Statistical information is published on the Official Statistics Portal according to the Official Statistics Calendar


Link to the release calendar

Official Statistics Calendar


Release procedure

Statistical information is published following the Official Statistics Dissemination Policy Guidelines and Statistical Information Preparation and Dissemination Rules (only in Lithuanian).

9 Frequency of dissemination


10 Accessibility and clarity
10.1 News release

Information is published in a news release on rates of change in construction input prices – on the 26th–30th day after the end of the reference month.



 Lithuania in Figures, Statistical Yearbook of Lithuania



Database of Indicators (Economy and finance -> Price indices, changes and prices -> Construction input price index (CIPI), price changes and index weights)


Access to micro data

Microdata are available and provided for scientific purposes according to the provisions set in the Description of Procedures for the Provision of Confidential Statistical Data for Scientific Purposes. More information is available on the Official Statistics Portal, at Data for scientific purposes.

Public data files: users are also provided with opportunity to access public files with statistical data on observation units. More information is available on the Official Statistics Portal, at Public data files.

10.5 Other


Methodological documentation

Price indices, changes and prices 

12 Quality management
12.1 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.

12.2 Quality assessment

Data quality corresponds to accuracy, timeliness and punctuality, comparability and compatibility requirements. Statistical survey managers periodically perform self-assessment – to evaluate statistical survey processes; moreover, statistical questionnaire control testing is performed. The collection and compilation of statistical information was not affected by COVID-19.

13 Relevance
13.1 User needs

The main users of statistical information are the Bank of Lithuania, Eurostat, state institutions and agencies, international organisations, the media, business and research communities, students, whose needs are satisfied without a breach of the confidentiality principle.

13.2 User satisfaction

From 2005, user opinion surveys have been conducted on a regular basis. Official Statistics Portal traffic is monitored, website visitor opinion polls, general opinion poll on the products and services of Statistics Lithuania, target user group opinion polls and other surveys are conducted. In 2007, the compilation of a user satisfaction index was launched. The said surveys are aimed at the assessment of the overall demand for and necessity of statistical information in general and specific statistical indicators in particular.

More information on user surveys and their results is available in section User surveys on the Statistics Lithuania website.


Completeness of statistical information

Price indices are published by 7 groups, 3 divisions and 2 sections of the CC, as well as the all-items CIPI. The price indices of the main groups of cost items and their changes are published at the national level.


Data completeness - rate

100 per cent of information produced in accordance with the Official statistics programme Part I is published.

14 Accuracy and reliability
14.1 Overall accuracy

A purposive sampling method is used. The CIPI results received are analysed, looking for errors, which may affect the final results. Monthly price changes are calculated; closer attention is paid to those representative cost item price changes which are - 10 and -–10 per cent, as well as those prices which changed due to quality, the change of the season. Moreover, special attention is paid to those price changes which had the largest impact on the general change in the CIPI.


Sampling error


Non-sampling error


Non-response error

Unit non-response rate

Response rate – 100 per cent.

2020 yr. months
1 2 3 4 5 6 7 8 9 10 11 12

Item non-response rate, %

Statistical units does not submitted the prices

of which:

due to seasonality

due to other reasons





































15 Timeliness and punctuality


Statistical information is published on the 26th–30th day after the end of the reference month.



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.


Percentage of statistical information released on time

100 per cent

16 Coherence and comparability

Geographical comparability

CIPIs are comparable across the EU.


Comparability over time

The time series of the all-items CIPI and CIPI by type of structure are computed since January 1991; by group of the main cost items – since August 1994. The application of a new method could have affected the comparability of the CIPI over time.


Length of comparable time series

Since January 1998

17 Coherence

Cross-domain coherence


Internal coherence

The CIPI is internally coherent. Lower-level price indices are aggregated to the higher-level price indices and the all-items CIPI.


Response burden

The average time spent by a respondent on the filling in of statistical questionnaire KA-19 – 43 min., KA-20 – 37 min., KA-21 – 28 min.


Data revision


Revision policy

The revision policy of Statistics Lithuania is provided in the document General Principles behind the Performance, Analysis and Announcement of Revisions of Statistical Indicators.


Revision practice

The CIPI is published as final and is not revised. Exception – when errors having an impact on the all-items CIPI are detected.


Average of the change obtained during the revision

20 Statistical processing

Statistical data source

The main statistical data source – statistical survey data on construction cost item prices.

A weighting system is based on statistical data prepared by the Construction and Investment Statistics Division on the volume of construction works carried out in value terms, as well as on cost estimate documentation on new construction and representative structures.


Periodicity of statistical data collection



Statistical data collection

Enterprises selected for the statistical survey on construction input prices submit data on prices in monthly questionnaires KA-19, KA-20 and KA-21.

Reporting methods: electronic statistical data preparation and transfer system e-Statistics, by fax, email.

Statistical questionnaire (only in Lithuanian)


Statistical data validation

The specialists of data preparation divisions carry out the primary verification of the data received.

The Price Statistics Division carries out the secondary verification, editing and validation of the data using a statistical price data control program. Data are compared to the data of previous periods, reasons for changes in the prices of cost items are analysed. The price trends received are checked against producer price trends.

20.5 Data compilation

The CIPI is produced based on the CIPI compilation methodology (only in Lithuanian).

20.6 Adjustment

The specialists of the Price Statistics Division are responsible for price adjustment.

Primary data on prices of cost items are adjusted for quality changes. If the quality of the replacement item significantly differs from that of the replaced one, the assessment of the impact of the change in quality on the increase or decrease in the price is recalculated. To maintain comparability between the price of the replaced and replacing items, the price of the replaced item in the previous month is adjusted by eliminating the impact of the change in quality. Quality adjustment may be done by two methods: bridged overlap and expert estimation. Minor changes in quality are disregarded. Price indices are not seasonally adjusted. Missing prices are estimated.


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