Index of wages and salaries in industry


  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

Lina Kiškienė

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 4797

1.8 Contact fax number

+370 5 236 4749

2 Metadata update
2.1 Metadata last certified


2.2 Metadata last posted 2020-12-28
2.3 Metadata last update 2020-12-18
3 Statistical presentation

Description of statistical information (main characteristics, purpose)

The objective of the indicator is to show the development and changes in wages and salaries in industrial enterprises.


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 enterprises listed in sections B, C, D and Division 36 of Section E of EVRK Rev. 2.

3.4 Statistical concepts and definitions

Wages and salaries refers to remuneration payable to the employee in return for the work done in cash, goods, services and/or privileges, including income taxes, social insurance contributions, etc. payable by the employee. It includes various bonuses in cash and in kind: allowances, severance pays, gratuity, premiums, compensations, increments. It does not include social insurance contributions payable by the employer, money meant for the purchase of equipment, working clothes, various training courses, expenses on business trips (travel, accommodation), benefits from the State Social Insurance Fund in case of temporary disability (sickness, maternity leave, parental leave before the child has reached the age of three).

Index of the number of wages and salaries represents changes in wages and salaries over a certain period of time.

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 entire economic territory of the country

3.8 Time coverage

Since I quarter 1998

3.9 Base period



Measurement unit(s)


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


10 Accessibility and clarity
10.1 News release







Database of Indicators (Business statistics -> Industry -> Quarterly industrial indicators -> Index of wages and salaries in industry enterprises (2015 – 100).


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

Data quality is in line with the accuracy, timeliness and punctuality, comparability and compatibility requirements. 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 period and the corresponding period of the previous year. The coefficient of variation (relative standard error), used as the main measure of the accuracy of estimate, does not exceed 3 per cent.

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 State and municipal authorities and agencies, politicians, 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

The indicator is published at the level of sections B, C, D and Division 36 of Section E of EVRK Rev. 2 and by main industrial groupings. The contents of the indicator comply with the EU requirements.


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 frame is based on information from the Statistical Business Register about the number of employees and income of enterprises. Enterprises are assigned to strata according to 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 employees and about 95 per cent of the total income.

The collection and compilation of statistical information was not affected by COVID-19.

2020 yr. quaters

Sampling error

Coefficient of variation, %

Wages and salaries





Non-sampling error


Non-response error

Unit non-response rate

Item non-response rate

Wages and salaries

15 Timeliness and punctuality


Statistical information is published on the 90th day after the end of the reference quarter.



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 I quarter 1998

17 Coherence

Cross-domain coherence

The values of the indicator “Wages and salaries” are coherent with structural business statistics (SBS), labour statistics.


Internal coherence



Response burden

An administrative data source is used.


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 results published are final and not revised later.


Average of the change obtained during the revision


20 Statistical processing

Statistical data source

Administrative data source – data of the State Social Insurance Fund Board (Sodra).


Periodicity of statistical data collection



Statistical data collection

To calculate the indicator, data are taken from the Sodra database.


Statistical data validation

In order to ensure data quality, verification procedures are followed: the completeness of the primary dataset is checked, labour input indicators (the number of hours worked, persons employed, wages and salaries) are compared at the unit level; the average values of labour input indicators are calculated. The results are compared to the previous period and to the corresponding period of the previous year.

20.5 Data compilation

The indicator “Wages and salaries” is calculated based on the data on enterprises sampled for the statistical survey. The index of wages and salaries is calculated in comparison with the quarterly average of 2015 (base year). The process of the preparation of statistical information is described in the industrial enterprise activity statistical survey methodology (only in Lithuanian).

20.6 Adjustment


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