Industrial production, industrial production index


  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

Short Term business Statistics Division

1.3 Contact name

Tatjana Kučeiko

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 4643

1.8 Contact fax number

+370 5 236 4749

2 Metadata update
2.1 Metadata last certified



2.2 Metadata last posted 2020-01-23
2.3 Metadata last update 2020-01-21
3 Statistical presentation

Description of statistical information (main characteristics, purpose)

The objective is to provide for users statistical information about short-term (monthly) changes in industrial output.


Classifications(s), classification system

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

3.3 Sector coverage

Non-financial industrial enterprises (sections B to E36 of EVRK Rev. 2)

3.4 Statistical concepts and definitions

Industrial production is an indicator showing the output produced by industrial enterprises in value terms. It refers to the sales of enterprise’s products or the value of the work performed by an enterprise (VAT and excise excluded).

Industrial production index (IPI) is an indicator showing changes in industrial output over a certain period of time.

The IPI at constant prices is based on the producer price index. Monthly results are compared with the previous period, corresponding period of the previous year and the monthly average of the base year. The indicator is seasonally and working day adjusted.

The IPI and industrial production indicators are calculated using an industrial sales and service variable – the sales of the products manufactured and the value of industrial work carried out by the enterprise during the reference period at current prices. If an enterprise uses raw materials and materials obtained from the customer, for which it does not pay, the value received by the enterprise for its work is indicated. Meanwhile, an enterprise which possesses raw materials, materials and semi-manufactured goods but does not produce itself, and, instead, transfers available raw materials, materials and semi-finished goods to other enterprises located within the territory of Lithuania for production purposes and later sells the products manufactured by other enterprises on its own behalf, includes the total production value in the volume of the production sold.

Industrial production at constant prices is calculated using the producer price index.  

3.5 Statistical unit

Kind of activity unit

3.6 Statistical population

All types of enterprises with the main economic activity - industrial activities.

3.7 Reference area

The whole country

3.8 Time coverage

Since 1998

3.9 Base period



Measurement unit(s)

IPI – index;

industrial production – EUR thousand.

5 Reference period


6 Institutional mandate
6.1 Legal acts and other agreements

Council Regulation (EC) No 1165/98 of May 1998 concerning short-term statistics, as last amended by Commission Regulation (EC) No 461/2012 of 31 May 2012


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

Monthly, quarterly and annual

10 Accessibility and clarity
10.1 News release

A news release is published on the 22st day after the end of the reference month.



Statistical Yearbook of Lithuania, Lithuania in Figures.



Database of Indicators (Business statistics -> Industry -> Industrial production)


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

Eurostat’s database


Methodological documentation


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

The coefficient of variation (relative standard error), used as the main measure of the accuracy of estimate, does not exceed 3 per cent.

Before the results are presented to users, additional statistical data quality control at the macro data level is performed. Statistical indicator estimates are compared with those from the previous periods and other statistical surveys.

13 Relevance
13.1 User needs

The main users of statistical information are State and municipal authorities and agencies, Eurostat, international organisations, the media, research and business community, 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

Statistical information on industrial production at current and constant prices is published by EVRK Rev. 2 sections B to E36; the IPI is also published by Main Industrial Groupings (MIG). 


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

The survey is conducted using a sampling method. The sampling design is based on information from the Statistical Business Register about the number of persons employed and income of enterprises. Enterprises are assigned to strata according to the kind of activity and the number of employees. The sample size is divided into strata by reducing the variance of estimates of the number of employees at a fixed sample size. The sample represents about 80 per cent of the total number of persons employed and about 95 per cent of income.

Statistical data are analysed by estimating outliers; data are edited. The overall accuracy is high, the errors are significantly lower than those recommended for business statistics.

2019 yr. months
1 2 3 4 5 6 7 8 9 10 11 12
Sampling error

Coefficient of variation, %

Industrial production














Non-sampling error



Non-response error


Unit non-response rate













Item non-response rate, %

Industrial production













15 Timeliness and punctuality


Statistical information is published on the 22nd 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

Statistical information is comparable across the EU.


Comparability over time

Full comparability is ensured.


Length of comparable time series

Since January 1998.

17 Coherence

Cross-domain coherence

The indicators “Industrial production” and “Industrial production index” are comparable with statistical structural business survey (SBS) and industrial production survey indicators.


Internal coherence

Internal coherence is fully ensured.


Response burden

Average time spent by one respondent on the filling-in of a statistical survey questionnaire in 2018 – 44 minutes.



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

There are two revisions which are made to the industrial production and IPI indicators:

1) the value and index for the pre-reference month are revised on a monthly basis;

2) the values and indices for all months are revised at the end of the year.


Average of the change obtained during the revision

Average of the change obtained during the revision 2018 -1.28 per cent point (Mean Absolute Revision (MAR), seasonally and working day adjusted, compared to previous month) and 0.50 per cent point (MAR, unadjusted, compared to previous month).

20 Statistical processing

Statistical data source

Statistical data source – a statistical sample survey (monthly industrial enterprise activity statistical questionnaire P-11, monthly natural gas supply statistical questionnaire PD-11, monthly electricity generation statistical questionnaire PEG-11, monthly electricity transmission statistical questionnaire PEP-11, monthly electricity distribution and supply statistical questionnaire PET-11, monthly heat generation and distribution statistical questionnaire PŠ-11, monthly water abstraction, treatment and distribution statistical questionnaire PV-11).

Data on small enterprises (1–4 persons employed) are estimated using administrative data sources – monthly VAT returns (State Tax Inspectorate) data. The said source is also used for the estimation of data on non-responding enterprises, alongside with available data for previous periods, recalculated taking into account the number of days worked in the reference month.


Periodicity of statistical data collection



Statistical data collection

The data are collected via the electronic statistical data preparation and transfer system e-Statistics, by mail, fax and email. Questionnaires (only in Lithuanian).


Statistical data validation

Statistical data control requirements are set in the survey programming technical task.

An error protocol is formed from the errors detected, containing the error code, error text, error attribute, indicating whether the error must be corrected or may be ignored. Errors can be logical and arithmetical; they may have been made by the respondent, occurred at the data entry or processing stage.

In order to ensure statistical data quality, additional primary data check is performed (reediting, statistical data validation). The error protocol is checked, links between the indicators are analysed, etc.

The results are compared against previous periods and other survey data.

20.5 Data compilation

The deficiency of statistical data due to missing values and/or non-response is compensated. Statistical data on the enterprises which have not responded are estimated using administrative (State Tax Inspectorate) data. In case of enterprises whose missing data could not be estimated based on administrative sources, sample design weights are adjusted. To impute missing values, previous periods’ data are used. The estimates are computed using stratified random sampling formulae.

IPIs are calculated in comparison with the previous month, with the corresponding month of the previous year, and with the monthly average of the base year. The IPI at constant prices is based on the producer price index (2015 = 100).

The process of the preparation of statistical information is described in the industrial enterprise activity statistical survey methodology (only in Lithuanian).

20.6 Adjustment

The IPI indicator is subject to a seasonal effect. In order to eliminate the impact of seasonality and the number of working days, the time series are working day and seasonally adjusted using the TRAMO/SEATS tools. Adjustment model is fixed for the current year; model is revised once a year, when the data of all reporting months is available.


Comments and other information

19.2.1 1) The subject of the monthly revision is the pre-reference month; 2) The subjects of the annual revisions are:  the 12-month unadjusted time series of the current year; seasonally  and calendar adjusted  time series of the current year and 3 previous years.