Index of sales and services in industry (index of turnover, VAT and excise excluded)

Turinys

  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

tatjana.kuceiko@stat.gov.lt

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

2020-09-22

2.2 Metadata last posted 2020-10-08
2.3 Metadata last update 2020-09-22
3 Statistical presentation
3.1

Description of statistical information (main characteristics, purpose)

The index of sales and services in industry (index of turnover, VAT and excise excluded) measures short-term changes in turnover in mining, quarrying and manufacturing enterprises.

3.2

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 and C of EVRK Rev. 2.  

3.4 Statistical concepts and definitions

Sales income (turnover) refers to income from selling goods and/or providing services received by an economic entity in the reporting period (VAT and excise excluded). Income from selling fixed assets, financial and investment activity, dividend, etc., as well as funding from the budget, are excluded.

Turnover is divided into domestic and non-domestic; non-domestic turnover is in turn divided into euro area and non-euro area.

Index of turnover is a relative indicator showing the change in turnover during a certain time period.

The index of turnover is a simplevalue index; a total index, domestic and non-domestic turnover indices are calculated.

3.5 Statistical unit

Kind of activity unit

3.6 Statistical population

Enterprises of all sizes and types with the main economic activity defined in sections B and C of EVRK Rev. 2.

3.7 Reference area

The entire economic territory of the country

3.8 Time coverage

Since 1998

3.9 Base period

2015

4

Measurement unit(s)

-

5 Reference period

Month

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

6.2

Data sharing and exchange

7 Confidentiality
7.1

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

8.2

Link to the release calendar

Official Statistics Calendar

8.3

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

10 Accessibility and clarity
10.1 News release

10.2

Publications

10.3

Databases

Database of Indicators (Business statistics -> Industry -> Index of sales and services)

10.4

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

11

Methodological documentation

Industry

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

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, 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.

13.3

Completeness of statistical information

The indicator is published at the EVRK Rev. 2 B, C section and division, Main Industrial Grouping (MIG) levels.

The contents of the indicator comply with the EU requirements.

13.3.1

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 persons employed. The sample size is divided into strata by reducing the variance of estimates of the number of persons employed 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.

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

2020 yr. months
1 2 3 4 5 6 7 8 9 10 11 12
14.2
Sampling error

Coefficient of variation, %

Turnover

 

0.25

0.18

0.20

0.30

0.22

0.24

0.22

0.23

 

 

 

 

14.3

Non-sampling error

-

14.3.1

Non-response error

-

14.3.1.1

Unit non-response rate

1.1

1.0

1.1

1.4

0.9

0.7

0.8

5.6

 

 

 

 

14.3.1.2

Item non-response rate

Turnover

1.1

1.0

1.1

1.4

0.9

0.7

0.8

5.6

 

 

 

 

15 Timeliness and punctuality
15.1

Timeliness

Statistical information is published on the 40th day after the end of the reference month.

15.2

Punctuality

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.

15.2.1

Percentage of statistical information released on time

100 per cent

16 Coherence and comparability
16.1

Geographical comparability

Statistical information is comparable across the EU.

16.2

Comparability over time

Full comparability is ensured.

16.2.1

Length of comparable time series

Since January 1998.

17 Coherence
17.1

Cross-domain coherence

The values of the indicator “Turnover” are comparable with structural business statistics.

17.2

Internal coherence

The values of the indicators are internally coherent. The aggregated values of indicators are derived from lower-level values in accordance with an established procedure.

18

Response burden

Average time spent by a respondent on the filling-in of a statistical survey questionnaire in 2019 – 44 min.

 

19

Data revision

19.1

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.

19.2

Revision practice

There are two revisions which are made to the indicators “Turnover” and “Index of turnover”:

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.

Revisions are conducted in accordance with an approved statistical information revision calendar.

19.2.1

Average of the change obtained during the revision

Average of the change obtained during the revision 2019: Mean Absolute Revision (MAR) is 0.23 per cent. point (compared to previous month) and Mean Revision (MR) is 0,03 per cent (compared to previous month).

20 Statistical processing
20.1

Statistical data source

Monthly industrial enterprise activity statistical questionnaire P-11 (sections B and C of EVRK Rev.2). 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.

20.2

Periodicity of statistical data collection

Monthly

20.3

Statistical data collection

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

20.4

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 estimates are computed using regular stratified random sampling formulae (ratio estimator).

The indices of the indicators are calculated by comparing against the base year’s monthly average.

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

20.6 Adjustment

21

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 months time series of the current year.