Statistics Lithuania

Short Term Business Statistics Division

29 Gedimino Ave., LT–01500 Vilnius, Lithuania

The turnover  index measures the monthly change of turnover in mining, quarrying and manufacturing. The turnover  index is simple value index.

 Data is split up into the domestic market and the non-domestic market. Non-domestic market is split into euro area and the non-euro area.

The index is compiled according to Regulations of the European Council concerning short-term statistics and classifications as well as concepts and methods of the Methodology of Short -term Business Statistics, Interpretation and Guidelines (Eurostat).

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

The indicators in this sector cover economic activities listed in sections B and C of NACE  Rev. 2.

The definition of Turnover includes the total sales value of the product from industrial activity invoiced by the reporting unit during the reference period (without VAT and excises) and work done by enterprises working by subcontracting, sales of other secondary activities as well as costs such as transport and packing when itemised on invoices regardless of the time when payment for the production was received. Rebates and discounts are deducted. VAT and all other taxes, which fall on products and services when they leave the factory, are also excluded. Turnover from financial, investment, rent, sales of assets etc. activities are excluded as well.

Data are disseminated on turnover indices that measure monthly  changes in the value of industrial turnover, based on sales of mining, quarrying, manufacturing turnover, 2015 = 100. There are no corrections for variations in the number of working days, nor for seasonal variations, nor for (producer) prices.

Turnover indices are divided to Domestic turnover and non-domestic turnover, since 2015 after the entry into the euro area non-domestic turnover divided on the euro and non-euro area.

Kind of Activity Unit

The frame population is listing from Business Register and in the list are included all active enterprises without any threshold (turnover or employees). The business register list for each statistical unit includes information: NACE code (4 digit level), turnover, number of persons employed, address and others.

Population in 2022 is 8531 operating enterprises.

The area covered  is the Republic of Lithuania – no regions are excluded.

A few enterprises in turnover include services purchased from third countries, since the full price of the products sold (As an example, the further dissolution of the main component of the pharmaceutical product, produced in the national territory,  then takes out abroad to make  required condition and its dosing and packaging). There are also companies that perform industrial services abroad, but they pay salaries in Lithuania and a part of their production/or services is sold/provided to Lithuania

The time series cover time  since January of 1998.

Base year is 2015=100

Index

Reference period is month.

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;

Regulation (EU) 2019/2152 of the European Parliament and of the Council of 27 November 2019 on European business statistics, repealing 10 legal acts in the field of business statistics (Text with EEA relevance);

Commission Implementing Regulation (EU) 2020/1197 of 30 July 2020 laying down technical specifications and arrangements pursuant to Regulation (EU) 2019/2152 of the European Parliament and of the Council on European business statistics repealing 10 legal acts in the field of business statistics (Text with EEA relevance)     

Data on Turnover  are sent only to EUROSTAT.

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

Regulation (EC) No 223/2009 on European statistics (recital 24 and Article 20(4)) of 11 March 2009 (OJ L 87, p. 164), stipulates the need to establish common principles and guidelines ensuring the confidentiality of data used for the production of European statistics and the access to those confidential data with due account for technical developments and the requirements of users in a democratic society. 

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.

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-42 of 20 February 2015 of the Director General of Statistics Lithuania (only in Lithuanian).

Where the respondent about whom or whose activity results the primary statistical data have been collected may be directly or indirectly identified on the basis of official statistical data, such official statistical data shall be confidential and protected in the manner prescribed by laws.

Statistical information is published in accordance with an approved release calendar.

Official Statistics Calendar

Statistical information is published on the Official Statistics Portal according to an Official Statistics Calendar, following the Official Statistics Dissemination Policy Guidelines and Statistical Information Preparation and Dissemination Rules.

Monthly

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In SL Data base are presented  the monthly Total Turnover, Domestic and Non-Domestic Markets, Euro and Non-euro zone Markets.

Turnover Indices are presented as an index 2015 =100 broken down for Sections B and C of NACE Rev. 2 and Main Industrial Grouping (MIGs) covering sections B and C. Is published gross and callendar adjusted data.

Database of Indicators (Business statistics -> Industry -> Sales income)

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.

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.

Eurostat‘s database

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

Metadata  for Turnover index is prepared each month and disseminated on the Official Statistics Portal

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.

The system for measurement and monitoring of performance quality implemented at Statistics Lithuania allows making expeditious decisions, based on impartial information, which are important for the improvement of performance, detection and elimination of drawbacks.

 Statistics Lithuania uses the following tools for quality monitoring and assurance:

 - Monitoring of performance indicators (comprising ESS quality indicators, the response burden and indicators related to time used for different statistical processes),

 - Self-assessment of survey managers (based on DESAP),

 - Statistical audits,

 - Testing of previously approved statistical questionnaires.

 - The monthly survey, collecting information, is submitted to the quality requirements, consistent with the standard quality components of European Statistical System, namely: relevance, accuracy, timeliness and punctuality, accessibility, clarity, comparability, coherence.

Turnover index is one of the main short-term statistical indicators monitored on a monthly basis in order to determine the short-term changes in Turnover Total, Domestic and non-Domestic markets. The main users of statistical information are State and municipal authorities and agencies, Eurostat, the media, research and business community, students, whose needs are satisfied without a breach of the confidentiality principle.

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.

 The System of user-satisfaction surveys covers three Internet-related user surveys:

1. Internet accessibility (monthly, quarterly);

2. Users registered to the Alert-me web services (monthly, quarterly);

3. Opinion survey of web visitors (monthly);

The Methodology for evaluation of the Customer satisfaction index was approved in January 2008. It relates to the Code of Practice four quality characteristics: relevance, sufficiency, clarity, reliability, as well as quality and one of the national interests on visibility of the official statistics. Users themselves rate the listed characteristics according to the importance. The satisfaction index has been calculated from results of the annual General public opinion polls on Image perception. The identified shortcomings and treatment of Customer satisfaction surveys are an effective means to respond to user needs and improve quality of products and services.

Special survey of user satisfaction of turnover  isn't conducted.

Turnover index Total, Domestic and non-Domestic markets  is produced by sections B and C as well as Turnover indices broken down by industrial activities on 2-digit level of NACE Rev.2 and MIG.s.

Activities 05, 07 and 09 of NACE Rev. 2 don't cover (not relevant to Lithuania).

Time series are available since 1998, Euro and Non-Euro zone Markets since 2005.

Sampling design is stratified simple random sampling. Criteria for stratification: the characteristics used for stratification are the NACE Rev. 2 3-digit level and the number of persons employed. Enterprises are stratified by groups (3-digit level of NACE Rev.2) and then in each group they are stratified by number of persons employed. 

Calculating the ratio estimates of statistical data analysis evaluating outliers, the data is edited. The overall accuracy rate is high, the error significantly lower than the recommended for business statistics.

Estimates of errors not related to the sample are negligible.  Response rate in the 1-st publication is closed to 90 per cent.

To calculate the estimates Horvitz-Thompson estimator is using, that is unbiased.

The accuracy of the estimates is reached by eliminating non-sampling errors, such as coverage, non-response, response mistakes and processing errors, also by calculating sampling error.

Coverage errors appear by reasons of misclassification of  units and changes in state of reporting units.

It is compulsory to respond to the survey. In case of non-response,the data are estimated.

The sampling error in percent is calculated for main indicators of survey and published monthly.

A coefficient of variation is used as a measure of the precision of an estimate. 

Estimates of errors not related to the sample are negligible.

The first turnover index compiled with a response rate of 90%; the final indicator is calculated when the response rate reaches 99.1 %.

For estimation of non-response is used additional information from the Tax Inspectorate.

Business Register: possible incorrect registration of the kind of activity of NACE in the business register, relatively part of misclassification are small units.

Under-coverage, over-coverage impact is insignificant, it cannot be evaluated exactly. In the case of a large enterprise, it is included in the sample with a weight 1.

No models are used. 

Impact of the Data editing and Data imputation is small, for imputation is used additional information from the Tax Inspectorate.

Ratio estimator – approximately unbiased.

Item non-response rate (last publication)

Unit non-response rate (last publication)

The data are collected monthly from reporting units on the 10th calendar day of each month.

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

Statistical information is published in accordance with an Official Statistics Calendar. 

100 per cent of statistical information is released on time.

The Turnover Index Total, Domestic and non-Domestic markets are comparable with other EU Member States Turnover index. Definitions and classifications applied accordance requirements of EU regulations.

Turnover Index data Total, Domestic and non-Domestic markets are fully comparable over minimum standard time for countries accordance requirements of EU Regulations. All methodological changes and changes in base year data in time series are made Turnover Index comparable in time.

Turnover value data is in coherence with SBS, PRODCOM surveys.

Values of indicator are coherent. Higher level aggregations are derived from detailed values according to well-defined procedures. Turnover Index is partly in coherence with administrative VAT data .

The cost is determinated for statistical survey in total and it is not possible to calculate for the each separate  indicator.

Costs (SL) 13117 hours per year (for  Production, Turnover and Labour input indicators).

Burden (for variables Production, Turnover and Hours worked) 17061 hours per year.

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 a Calendar of Scheduled Revisions of Statistical Indicators.

The same revision policy is applied to IPC data released nationally and transmitted to Eurostat.

There are two kind of routine revisions which are made:

Short-term planned revisions: 1) every reference month is revised previous period and 2) in the end of the year are revised all indices for all months.

Long-term planned (major) revisions were conducted due to changes in the base year. The time series from 1Q 1998 were back-casted.

The time series of Turnover total, Domestic and non Domestic markets, Euro and Non-Euro Zone Markets  Index are revised according requirement of the EU Regulation regard to change of the base year (usually with 0 and 5 at the end).

The revised data are published as “Revised data” in the Statistical Database of Statistics Lithuania when they are stated final.

Data set is based on a statistical survey. The survey is conducted using a sampling method.

A new sample is drawn every year.

The sampling frame is based on information about enterprises in operation, their economic activity and the number of persons employed from the Statistical Business Register.

Sampling design is stratified simple random sampling.

The characteristics used for stratification are the NACE Rev. 2 3-digit level and the number of persons employed.

No threshold is applied.

2486 enterprises were included in the sample in 2022.

The sample sizes in stratum (persons employed classes):

1-9: 31.5 per cent

10-49: 35.5 per cent

50 and more: all enterprises, 100 per cent

Month

One common questionnaire (Monthly industrial enterprise activity report P-11) regarding turnover, turnover by Domestic and non-Domestic markets, non-Domestic market is split into euro area and the non-euro area, production sold from industrial activity, excise taxes, hours worked is used for sections B and C.

Data collection methods: Electronic questionnaires can be downloaded on the SL’s Internet website and filled in on-line or  sent by e-mail. Non-responding enterprises previously filled electronic questionnaires on-line reminders received on-line.

Verification of data: Data are checked on enterprise level (micro level) and on macro level. If necessary, the data are verified by contacting the reporting unit. For verification, visual and logical controls are used.

Verification of processing: Staff regularly reviews the compilation process comparing the indices at various stages of compilation with other market information or using personal judgement. Exceptional variations in the indices are followed on a case-by-case basis.

Staffs of Regional statistics divisions carry out verification of the primary data received using data control program designed for the monthly checks against errors and mistakes. Staffs of Short Term Business Siatistics Division carry out secondary control, check outliers, check data with other surveys in consistency with other indicators of industrial production. As part of the review process, the staffs check that the movements of the indices are in line with the quantity data of individual products, external trade.

Comparisons are made with monthly turnover (VAT declaration from Taxes authority), quarterly turnover from enterprise financial survey, and PRODCOM data as well as annual SBS.

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 STSIND domain by eDAMIS.

The non-responding enterprises are assessed on the basis of administrative sources – the monthly value added tax declaration produced by the State Tax Inspectorate. Whereas data from State Tax Inspectorate is only the previous month, then data is recalculated to the working days of the reference month. The same procedure is done for small enterprises, which are not asked (1-4 employees). When non-respondents are known to be normal working enterprises and data of previous month exist, data of the previous month is recalculated to the working days of the reference month. If the data of previous month is unknown, the average value for the strata is imputed. The weighting factors are adjusted for other non-respondents.

4-digit NACE level data are progressively aggregated to higher levels. Separate indices are compiled at the aggregate level for mining, quarrying and manufacturing, and Main Industrial Groups belonging to the industries B and C sections  of the NACE Rev. 2 (MIGs).

Simple value index 2015=100 is calculated for Total turnover, Domestic and non-Domestic, Euro and Non-Euro zone Markets.

Procedures for non-response: Imputation is used to treat for non-response. For the estimation of the data on small enterprises (1–4 persons employed) administrative sources are used (the monthly VAT return of the State Tax Inspectorate).  The same source is used for the estimation of data on the enterprises that have not responded as well as earlier known values of production sold by the enterprise recalculated to working days of the reporting month. The weighting factors are adjusted for other non-respondents.

To eliminate the influence of the number of days worked, adjustment of the time series with JDemetra + (version 2.2.2) is performed, the TRAMO / SEATS method is used. The elimination model is established for one year and is updated once a year, with all data for the months of the reference year. The calendar factor is evaluated in the modeling: regressors of working days and leap years are used; exceptions are identified and adjusted; the calendar of Lithuanian public holidays is taken into account. The number of excretions, the statistical characteristics of the residues (seasonality of the residues, independence, normality, etc.) are checked during validation. Seasonal adjustment is carried out using the ESS Guidelines on seasonal adjustment (2015).

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