Index of hours worked in industrial enterprises


  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 changes in the time worked 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 engaged in industrial activity (i.e. listed in sections B, C, D and Division 36 of Section E of EVRK Rev. 2).

3.4 Statistical concepts and definitions

Hours worked is the total number of hours worked by employees during the reference quarter. This includes all hours worked, including overtime, night work, working on weekends and public holidays; time spent on preparation for work, short rest periods; time spent at the place of work during which no work is done (due to technical obstacles) but for which payment is made in accordance with the legislation or collective agreement. Hours paid for but not worked (such as sickness, strike, annual leave) are excluded.

Index of hours worked represents changes in the time worked over a certain period of time.

3.5 Statistical unit

Kind-of-activity unit (KAU)

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 hours worked 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 accordance with principles of accuracy and reliability, timeliness and punctuality, coherence and compatibility. 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 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 sample frame is based on the information from the Statistical Business Register about the number of employees and income of enterprises. Companies are divided into 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 employees and about 95 per cent of income.

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

2020 yr. quaters

Sampling error

Coefficient of variation, %

Hours worked







Non-sampling error






Non-response error


Unit non-response rate




Item non-response rate

Hours worked





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 “Hours worked” are coherent with structural business statistics (SBS), labour statistics.


Internal coherence


Response burden

Average time spent by a respondent on the filling-in of a statistical survey questionnaire in 2019 – 34 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

The index for the previous quarter is revised on a quarterly basis.


Average of the change obtained during the revision

20 Statistical processing

Statistical data source

Primary statistical data are collected using the following monthly questionnaires: Monthly industrial enterprise activity questionnaire P-11 (sections B and C). For sections D and E36, the following statistical questionnaires are used: Monthly natural gas supply questionnaire PD-11, Monthly electrical energy generation questionnaire PEG-11, Monthly electrical energy transmission questionnaire PEP-11, Monthly electrical energy distribution and supply questionnaire PET-11, Monthly heat generation and distribution questionnaire PŠ-11, Monthly water collection and distribution questionnaire PV-11.


Periodicity of statistical data collection



Statistical data collection

Statistical data are collected through an electronic statistical data preparation and transfer system e-Statistics, email, fax, mail. Survey questionnaires (only in Lithuanian).


Statistical data validation

Statistical data quality control requirements are provided in a survey programming work technical specification. The error protocol, the completeness and reliability of the statistical data entered are checked, links between indicators are analysed, etc. Statistical data are corrected taking into account the type of error – some errors may be ignored, while others must be corrected. A decision on whether to correct the error that may be ignored is taken by an employee checking the filled-in questionnaires. The errors that must be corrected are always corrected.  To ensure statistical data quality, additional primary database check (re-editing) is performed. After summary results have been obtained, statistical data are compared with those for the previous period and the same period of the previous year, as well as with data from other surveys (structural business, labour statistics).

20.5 Data compilation

The indicator “Hours worked” is calculated based on the data on enterprises sampled for the statistical survey. The estimates are computed using regular stratified random sampling formulae (ratio estimator). The index of hours worked 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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