Turnover in services (sts_os_t)

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Statistics Lithuania

Time Dimension: 2018-A0

Data Provider: LT1


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)

For any question on data and metadata, please contact: EUROPEAN STATISTICAL DATA SUPPORT


1. Contact Top
1.1. Contact organisation

Statistics Lithuania

1.2. Contact organisation unit

Short Term Business Statistics Division

1.5. Contact mail address

29 Gedimino Ave, LT-01500 Vilnius, Lithuania

2. Metadata update Top
2.1. Metadata last certified 25/04/2019
2.2. Metadata last posted 25/04/2019
2.3. Metadata last update 25/04/2019

3. Statistical presentation Top
3.1. Data description

Quarterly turnover index for service sectors is an important short term indicator used to analyse business cycle trends. Turnover indicator shows the development and changes of income from sales in service activities.

3.2. Classification system

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

3.3. Coverage - sector

The indicator in this sector covers economic activities listed in sections:

H, I, division I55, J, sections M (except divisions 72 and 75) and N (except division 77) of EVRK Rev. 2 (H – Transportation and Storage, I – Accommodation and Food Service Activities, J – Information and Communication, M_STS – Professional, Scientific and Technical Activities required by STS regulation, N_STS – Administrative and Support Service Activities required by STS regulation).

3.4. Statistical concepts and definitions

Turnover refers to the income from selling goods and/or providing services received by an economics entity in the reporting period (VAT excluded). Turnover from selling long-term fixed assets, financial and investment activity, dividends, etc., are excluded. The services provided do not include the acquisition value of customer's materials, products, spare and component parts.

The detailed definition of turnover is decribed in Commission Regulation No. 1503/2006.

Index of turnover  is a relative indicator showing the change in turnover during the reference quarter.

3.5. Statistical unit

Reporting unit - enterprise, observation unit - KAU.

3.6. Statistical population

The survey frame is based on Business Register. The frame population covers all active enterprises without any threshold, whose principal activity is classified into transportation and storage, accommodation and food service, information and communication, professional, scientific and technical, administrative and support service activities. Business Register for each enterprise provides  information: EVRK Rev. 2 code (4 digit level), turnover, number of persons employed, address and others. In 2018 the quarterly population covers 37 778 active enterprises, of which the frame population comprises 6205 observation units.

3.7. Reference area

The country. The activities outside the geographical coverage are not included in the data.

3.8. Coverage - Time

Since 1998.

3.9. Base period

2015 = 100.

4. Unit of measure Top

Indices are transmitted to Eurostat, nationally data on turnover is published in absolute figures (thous. EUR) and indices.

5. Reference Period Top


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

Council Regulation No 1165/98 of 19 May 1998 concerning short-term statistics, as last amended by Commission  Regulation (EU) No 461/2012 of 31 May 2012.

Commission Regulation (EC) No 329/2009 of 22 April 2009 amending Council Regulation (EC) No 1165/98 concerning short-term statistics as regards the updating of the list of variables, the frequency of compilation of the statistics and the levels of breakdown and aggregation to be applied to the variables.

6.2. Institutional Mandate - data sharing

Data is transmitted to Eurostat and published in the Official Statistical Portal.

7. Confidentiality Top
7.1. Confidentiality - policy

Law on Statistics of the Republic of Lithuania;

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 Regulation (EC) No 322/97 on Community Statistics, and Council Decision 89/382/EEC, Euratom establishing a Committee on the Statistical Programmes of the European Communities.

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; Paragraph 6 of the Rules for the Secure Management of Electronic Information in the Statistical Information System, approved by Order No DĮ-76 of 12 March 2008 of the Director General of Statistics Lithuania.

8. Release policy Top
8.1. Release calendar

Statistical information is published in accordance with the approved Official Statistics release calendar.

8.2. Release calendar access

Statistical information is accessible in the Official Statistical Portal https://osp.stat.gov.lt/en/kalendoriai

8.3. Release policy - user access

Statistical information is published on the Official Statistics Portal, according to the approved statistical information release calendar and the Rules for the Preparation and Dissemination of Statistical Information of Statistics Lithuania.

9. Frequency of dissemination Top

 Data are transmitted quartely to Eurostat and are disseminated quartely and yearly for national users.

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

A news releases is published on the 59th day after the end of the reference quarter.

10.2. Dissemination format - Publications


10.3. Dissemination format - online database

Information is provided in the Database of Indicators → Business statistics → Services

10.4. Dissemination format - microdata access

Not applicable.

10.5. Dissemination format - other

Eurostat database

10.6. Documentation on methodology

The methodological description of the survey (only in Lithuanian) is on the Official Statistics Portal https://osp.stat.gov.lt/en/web/guest/paslaugos.

10.7. Quality management - documentation

The metadata is updated every quarter and published on the Official Statistical Portal https://osp.stat.gov.lt/en/web/guest/paslaugos

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. In 2007, a quality management system, conforming with the requirements of the international quality management system standard ISO 9001, was introduced at Statistics Lithuania. 

11.2. Quality management - assessment

The turnover index is produced in compliance with Eurostat methodological requirements and standards. The quality of statistics is assessed according to five quality criteria: relevance, accuracy, timeliness and punctuality, accessibility and clarity, comparability.
Received data are checked and edited. Before publishing the results, additional macro statistical data quality control is performed. Statistical indicator is compared with the values of the previous period and the corresponding period of the previous year, and also with other relevant statistical surveys and administrative sources results.

12. Relevance Top
12.1. Relevance - 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. The main internal users are Statistics of National Accounts and Price Statistics.

12.2. Relevance - 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.

12.3. Completeness

All indicators are established by the legislation and their components are published.

13. Accuracy Top
13.1. Accuracy - overall
  • The population frame is based on Business Register.
  • Sampling design - stratified random sampling, turnover estimates are derived using combined estimators (Regression and Horvitz-Thompson). Auxiliary information – Value Added Tax data from State Tax Inspectorate is used.
  • Over- and under-coverage, incorrect classified units in the sample frame.
  • Unit- and item-non-response.

The sampling error is small and the response rate is over 95%. Statistical data are analysed by assessing outliers and the data are edited. Reference quarter data is recalculated in the end of the next quarter. After recalculation the difference between preliminary and final data is very slight. As a measure of quality the coefficient of variation is calculated.

13.2. Sampling error

Population is divided into 4 strata: Enterprises with Value Added Tax payers, Enterprises with no Value Added Tax payers, Enterprises with high turnover of the reference year, Estimation domain which have less than 3 enterprises. For the first two strata probability sample is used. Two another strata – completely enumerated. The coefficient of variation is calculated on value of turnover each quarter:



CV, %



Sample rate, %




Q3 Q4  


0.90 1.32 1.07 1.50 16.81


1.11 0.95 1.91 1.53 28.27


0.45 0.65 0.55 0.45 23.91


2.33 2.30 2.03 1.40 9.4


1.42 2.28 2.27 1.86 47.35
13.3. Non-sampling error
  • Non-sampling errors may occur from under coverage: newly started firms or incorrect classified units in the sample frame. Only significant new enterprises are included into the sample. Non sampling errors may also arise from over coverage: bankruptcy or incorrect classified units in the sample frame.
  • Item non-response rate does not have impact to the data accuracy. Electronic survey questionnaires have data controls which do not allow having non responded items. Item non-response may occur only using paper questionnaires. In the case of unit non-response, the surveyed enterprise is contacted by phone, or a reminder is sent by fax or e-mail.
  • Imputation is not used for non-responded data, because non-response rate is not significant. Reweighting methods are used instead.
  • Data are compared with: the previous period, last year appropriate period, administrative sources (VAT data) and other surveys data. In case of errors respondents are contacted.
  • Outliers are detected using quartile and regression method.

14. Timeliness and punctuality Top
14.1. Timeliness

Statistical information is published on the 59th day after the end of the reference quarter.

14.2. Punctuality

Statistical information is published in accordance with the approved release calendar and sent to Eurostat in accordance with deadlines.

Statistical information released on time - 100 per cent.

15. Coherence and comparability Top
15.1. Comparability - geographical

Statistical information is comparable across the EU.

15.2. Comparability - over time

Statistical information is fully comparable from 1998.

15.3. Coherence - cross domain

Values of indicators are comparable with Structural Business Statistics.

15.4. Coherence - internal

Full coherence is ensured. Higher level aggregations are derived from detailed values according to well-defined procedures.

16. Cost and Burden Top

It is not possible to determine cost and burden separately for each variable.

In 2018 total cost (NSI) 7 782 hours per year for all variables of STS on services - turnover, persons employed, hours worked, wages and salaries.

Total burden (respondents) 12 225 hous per year.

The administrative data is used and there is no administrative burden for respondents.

17. Data revision Top
17.1. Data revision - policy

Revisions of statistical indicators are performed in accordance with the General Principles behind the Performance, Analysis and Announcement of Revisions of Statistical Indicators, approved by Order No DĮ-262 of 30 December 2013 of the Director General of Statistics Lithuania. Users are informed about scheduled revisions in advance through the Calendar of Scheduled Revisions of Statistical Indicators.

17.2. Data revision - practice

Non-adjusted data could be revised in the next publication. In case of significant changes revision may be made for all previous periods. The time series are revised when applying a new model for working-day and seasonal adjustment, when data an all four quarters of the same year are available.

18. Statistical processing Top
18.1. Source data

Statistical data are collected through quarterly statistical questionnaires to be filled in by business (PS-20 quarterly) and information and communication (R-05 quarterly) service enterprises.

For some economic activities, data from other statistical surveys are used.


18.2. Frequency of data collection


18.3. Data collection

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

18.4. Data validation

To ensure statistical data quality the primary data base checking is performed using special software, searching for errors. The logical connection between values, arithmetic errors are checked; it is checked whether all the values have been indicated. The data is compared with the values of the the previous period. In case of errors or missing values, respondents are contacted.

Before sending to Eurostat data file is validated and converted into SDMX-ML format using SDMX Converter Tool. The data file is transmitted to Eurostat in STSSERV domain by eDAMIS.

18.5. Data compilation

The process of the preparation of statistical information is described in The statistical survey on service enterprises methodology (only in Lithuanian).

The estimates for turnover are computed using stratified random sampling formulas, including regression estimates and Horwitz-Thompson estimate sum.

18.6. Adjustment

Turnover index (in value) in an unadjusted form for a current quarter is calculated in relation with the average of a base year, then in relation to the same quarter of a previous year and finally in relation to a previous quarter. The index is presented in original, non-udjusted form, seasonally adjusted, working-day adjusted form and a trend. The time series are working-day and seasonally adjusted using the TRAMO/SEATS method in Demetra+.

Calendar adjusted data: data in which the influence of varying number of working days has been eliminated.

Seasonally adjusted data: indirect method is used for the seasonal adjustment. The model is chosen using a detailed analysis module. Logarithm transformation is tested. Seasonal and calendar factors are estimated, 2 regressors (Trading days) are used, outliers are detected and corrected, national holidays calendar is used.

Diagnostic statistics are used to control the quality of seasonal adjustment. The significance levels, the number of outliers and statistics on residuals (residual normality, residual asymmetry, etc.) in data series are controlled.

Revisions: Seasonal adjustment models and parameters are revised and fixed for one year when the data of the fourth quarter is available.

19. Comment Top


Related metadata Top

Annexes Top
Seasonal Adjustment for Turnover Index on Services 2018