Reference metadata describe statistical concepts and methodologies used for the collection and generation of data. They provide information on data quality and, since they are strongly content-oriented, assist users in interpreting the data. Reference metadata, unlike structural metadata, can be decoupled from the data.
The survey sample consists of 3533 (578 of which are from alternative sourses) observation units. The collection of production is separated for production on own account and production on subcontracting.
The questionnaire for commodity production has two parts:
production using on own account - it requires volume of total production, volume and value for total sales, and volume and value of sales in domestic market.
production using the client's material - it requires volume of total production and fee paid in value (total and in domestic market)
3.2. Classification system
In the PRODCOM classification products are grouped by the NACE Rev.2, 4-digits industrial sectors, in which they are primarily produced (i.e. characteristic products). NACE Rev.2 is the EU system for classifying economic activities. The value and volume data shown for a product, therefore, includes not only the production by enterprises classified to the NACE sector where it is primarily produced but also its subsidiary production by enterprises classified to the other NACE Rev. 2 sectors.
Classification of Products
The PRODCOM list is divided into “Classes” corresponding to the classes of NACE rev 2. Within the individual classes, the headings of the list are set out in ascending order of their PRODCOM codes. PRODCOM uses an eight-digit product code of the form XX.XX.XX.YY.
The first 4-digits of the code correspond to the 4-digit classes of NACE Rev.2.
The last 2-digits provide a more detailed breakdown of the CPA classes into PRODCOM product headings.
There is a direct link between the PRODCOM classification and the EU foreign trade Combined Nomenclature (CN). Each PRODCOM 8-digit heading covers one or more CN 8-digit headings.
PGPK national version of PRODCOM list is used in Lithuania for commodity survey (it can be accessed online here).
Approx. 87 extra headings are present in PGPK, mostly reflecting Lithuanian national production (B level).
National version has 10-digits for product code. If the last two digits are not '00', then it is a national code (B level). All codes ending '00' are "A" level common PRODCOM codes.
3.3. Coverage - sector
Non-financial enterprises.
The survey covers all industrial enterprises with more than 4 employees and enterprises with secondary industrial activity, having more than 500.000 EUR turnover from the industrial activity.
The survey covers NACE Rev.2 sections B and C (06-33 class) and D section class 38.32.
All industrial enterprises are sampled to achieve 90% of each 4 digit level NACE class.
3.4. Statistical concepts and definitions
Total manufactured production consists of production carried on territory of Lithuania by Lithuanian enterprises, including production for the enterprise's own purposes.
Sold production represents the quantity and value of sold production and industrial services.
Actual production represents all production that was produced by the enterprise during the reference period, regardless of whether it was sold, stored in stocks, used for further processing or it was production under sub-contracted operations. Actual production is presented as quantity.
At national level, the total sales and the sales in domestic market (in volume and value) are available.
Total production (in volume) is collected for all PRODCOM codes where the physical units are available.
The value is expressed in Euro. The volume is expressed in a unit specific for each product.
3.5. Statistical unit
The reporting unit - Enterprise = Kind of activity unit (KAU).
The observation unit - Kind of activity unit (KAU), principal and secondary activities.
3.6. Statistical population
Industrial companies (from B, C sectors and E sector 38.32 class, according to NACE Rev.2.) and non-industrial enterprises engaged in industrial activities.
The survey covers all industrial enterprises with more than 4 employees and enterprises with secondary industrial activity, having more than 500.000 EUR turnover from the industrial activity.
3.7. Reference area
Information can be calculated at the national level and on regional level: county.
3.8. Coverage - Time
Industrial production statistics for Lithuania date back to 1995 (paper archive and Oracle database archive)
Starting with statistics from year 2000, the annual data can be consulted in electronic format in Eurostat Database.
Also, statistics starting with year 2005 can be accessed on State Data Agency (Statistics Lithuania)website - Indicators database.
Commodity statistics data according to PRODCOM are available from 2002, when PRODCOM list was implemented in the commodity survey.
3.9. Base period
Not applicable
For volumes: measure units are specific to each PRODCOM code.
For value (sales): thousands EUR
Year 2024
6.1. Institutional Mandate - legal acts and other agreements
This survey is carried out in compliance with following regulations:
at the National level:PGPK 2022 Part II (PRODCOM)) approval for the reporting period of version (No. DĮ - 32 of 26 January 2022).
6.2. Institutional Mandate - data sharing
Information on the production of meat and dairy products is received from the Agricultural Data Center.
7.1. Confidentiality - policy
The confidentiality policy is based on:
National level:
In the process of statistical data collection, processing and analysis and dissemination of statistical information, State Data Agency (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.
Lithuania is applying the passive confidentiality.
EU level:
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.
7.2. Confidentiality - data treatment
In Lithuania, information based on product codes is not confidential. However, we sometimes receive written requests from enterprises asking us not to disclose their information.
In such cases, we maintain confidentiality. The confidential information we publish makes up only 0.5% (from 1534 codes that Lithuanian enterprises fill out).
More info:
Statistical Disclosure Control Manual, approved by Order No DĮ-107 of 26 April 2022 of the Director General of Statistics Lithuania;
The State Data Governance Information System Data Security Regulations and Rules for the Secure Management of Electronic Information in the State Data Governance Information System, approved by Order No DĮ-202 of 27 August 2021 of the Director General of Statistics Lithuania.
8.1. Release calendar
Statistical information is published in accordance with an approved release calendar.
8.2. Release calendar access
The release calendar can be accessed at: Calendars
8.3. Release policy - user access
Statistical information is prepared and disseminated under the principle of impartiality and objectivity, i.e. in a systematic, reliable and unbiased manner, following professional and ethical standards (the European Statistics Code of Practice), and the policies and practices followed are transparent to users and survey respondents.
All users have equal access to statistical information. All statistical information is published at the same time – at 9 a.m. on the day of publication of statistical information as indicated in the calendar on the Official Statistics Portal. Relevant statistical information is sent automatically to news subscribers.
The President and Prime Minister of the Republic of Lithuania, their advisers, the Ministers of Finance, Economy and Innovation, as well as Social Security and Labour of the Republic of Lithuania or their authorized persons, as well as, in exceptional cases, external experts and researchers have the right to receive early statistical information. The specified persons are entitled to receive statistical reports on GDP, inflation, employment and unemployment and other particularly relevant statistical reports one day prior to the publication of this statistical information on the Official Statistics Portal. Before exercising the right of early receipt of statistical information, a person shall sign an undertaking not to disseminate the statistical information received before it has been officially published.
Statistical information is published following the Official Statistics Dissemination Policy Guidelines (only in Lithuanian) and the Information Dissemination and Communication Rules prepared by the State Data Agency, approved by Order No DĮ-208 of 8 October 2024 of the Director General of the State Data Agency.
PRODCOM data, as a part of the statistical information collected and disseminated by NSI, contains:
Monthly data of the volume of production for the main aggregated PRODCOM codes
Annual data of the volume and value by PRODCOM codes, as sum of the 12 months of the year.
10.1. Dissemination format - News release
The information note “Alcohol and tobacco consumption and its consequences” will be published on 30 May after the end of the reporting year.
10.2. Dissemination format - Publications
From 1996 onwards, "Production of commodities" catalogue, dedicated annual publication, which can be found in the online publications catalogue .
"Production of commodities", latest edition 2016 (with data for 2015), (it was last paper edition, from 2016 information is available only in database).
Statistical information is published in the statistical electronic publication "Regions of Lithuania".
10.3. Dissemination format - online database
Statistical indicators are published in the Database of Indicators (Business statistics -> Industry -> Production of commodities).
The Indicators Database page is for viewing and analyzing statistical information. For more information on the Indicators Database, see the Database of Indicators User Guide.
10.4. Dissemination format - microdata access
Feedback from enterprises.
Each company has the opportunity to access its annual data in e-statistics (structured by Prodcom headings) and to compare it with data at country level.
Microdata for scientific purposes shall be available and provided in accordance with the provisions specified in the Description of the Procedure for the Provision of Confidential Statistical Data for Scientific Purposes by Statistics Lithuania.
More information is available on the Official Statistics Portal open data sets.
General documents on quality of statistics are available on the website: Quality
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 and ESS Quality Assurance Framework. In 2007, a quality management system (aligned with the requirements of the international quality management system standard ISO 9001) was enclosed into State Data Agency (Statistics Lithuania). The main trends in activity of State Data Agency (Statistics Lithuania) aimed at quality management and continuous development in the institution are established in the Quality Policy.
PRODCOM survey is based on monthly statistics, offering enough time to check the annual information (calculated as agreggate of the 12 months).
PRODCOM data is checked in several ways:
PRODCOM data are produced in close cooperation with STS, enabling the data reported in the two surveys to be checked against each other.
PRODCOM uses also the administrative data (VAT) in the validation procedures.
PRODCOM staff applies its own data checks by comparing unit values across enterprises, across time and also some additional algorithms. Any identified outliers are reported to the declarant, asking an explanation or correction. In addition, if users are questioning the accuracy of data, the declarant is asked to investigate it.
11.2. Quality management - assessment
Quality of statistical results meets the requirements of accuracy, timeliness and punctuality, comparability and consistency.
Industrial product statistics are collected through an electronic system that includes many arithmetic and logic controls.
In 2020, the company's survey of industrial production statistics was carried out. It showed that the results of the survey meet the requirements for the quality of statistical information.
In 2016, a review of the questionnaire P-12 of the survey was carried out, and the recommendations received were implemented.
Statistical information on the production of products is compared with previous periods, the results of other statistical surveys, results of surveys on the production of products from other countries. Unit prices of products are compared with the average unit prices of European countries. Outstanding values of indicators are identified and analyzed. In the event of significant deviations, the data provider shall be contacted and the reasons for the deviation explained.
12.1. Relevance - User Needs
The main users of statistical information are state and municipal institutions and establishments, the media, representatives of business and science, and students whose needs are met without violating the principle of confidentiality.
All statistical indicators are compiled and published to the extent defined in the legislation governing their compilation and publication. More detailed statistics are compiled according to individual user requests.
12.2. Relevance - User Satisfaction
Since 2005, user opinion surveys have been conducted on a regular basis.
Official Statistics Portal traffic is monitored. There are website visitor opinion polls, general opinion polls on the products and services of State Data Agency (Statistics Lithuania), target user group opinion polls and other surveys.
In 2007, the compilation of a user satisfaction index was launched. 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 the visibility of the official statistics. Users themselves rate the listed characteristics according to their importance. The satisfaction index has been calculated from the 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 the quality of products and services.
More information on user opinion surveys and results thereof are published in the User Surveys section on the State Data Agency (Statistics Lithuania) website.
12.3. Completeness
Product production data is collected and published on all products manufactured in Lithuania that are included in the PRODCOM list.
There are some codes that exist only for Lithuanian dissemination (some products break down into a smaller B level).
13.1. Accuracy - overall
A cut sample selected from the population is used for the statistical survey. The sampling plan is compiled on the basis of information of the Statistical Register of Economic Entities on the type of economic activity of the enterprise, the number of employed persons and annual turnover class level. The sample includes companies with at least 90 per cent of the total annual sales of the relevant class. The default rate is low. Data are revised (new information is received - data from administrative sources; respondents are revising the reports provided). Estimation of the values of the missing indicators has no significant effect on the overall accuracy. The quality of administrative data is ensured by searching for excreted, missing, duplicate values, analyzing the results and, if necessary, editing the data.
13.2. Sampling error
Sampling errors do not occur in the PRODCOM survey as these statistics are collected by non-probability sampling (which means that it's a full-coverage survey with a cut-off threshold).
13.3. Non-sampling error
Errors not related to the sample do not significantly affect the results. There are few cases of non-receipt of data from respondents. Significant measurement errors are identified by applying outlier detection methods, as well as by comparing data with previous periods and with data from other countries. These errors are corrected as needed. The reporting template and data entry form contain logical and arithmetic control conditions. In case of errors or missing values, respondents are contacted for clarification and correction.
Non-response rate in 2024 (fixed term) – 0.5%.
Final non-response rate – 0.1%.
Imputation rate for selected enterprises – the data are not calculated.
Response rate – 99.90%.
In our country, the response rate is calculated using the unweighted method, based on the number of enterprises.
If it is established that an enterprise does not perform industrial activities, the PRODCOM survey is terminated.
The coverage indicators are not calculated in Lithuania, but the reasons why such errors may occur are explained:
Overcoverage: Overcoverage errors may occur if enterprises that do not actually carry out industrial activities are included in the sample. However, such cases are minimised as the operational status and activity type of each enterprise are assessed prior to sampling to ensure only active industrial enterprises are selected.
Undercoverage: Undercoverage may occur because very small enterprises with fewer than 5 employees or low turnover are excluded from the survey to reduce the burden on respondents. Despite this, the sample is designed to include enterprises whose sales account for at least 90% of the total annual sales volume within the relevant activity class, ensuring coverage of the vast majority of the market.
Multiple listing: Multiple listing errors are not possible, as each enterprise is included in the sample only once based on its unique enterprise code, eliminating the possibility of duplication.
Other errors:
Enterprise non-response: In case of unit non-response or delayed answers, estimation values are inserted in the monthly production survey.
Activity classification errors: These occur when an enterprise is assigned an incorrect economic activity code. For example, if an enterprise is classified under manufacturing while its main activity is trade or services, it can lead to inclusion of irrelevant units or exclusion of relevant ones from the PRODCOM survey, affecting data accuracy and coverage.
Commodity classification errors: These occur when products are assigned incorrect PRODCOM codes. Enterprises may report production under wrong product codes due to misunderstanding or similarity between product categories, leading to misallocation of production quantities and values, thus reducing data quality and comparability.
Incorrect auxiliary information: Incorrect information in the business register from administrative sources about the number of employed persons and turnover can also lead to errors.
14.1. Timeliness
Monthly statistical information is published on the last working day of the month after the end of the reporting month, annual - on the 80th day after the end of the reporting year.
14.2. Punctuality
Statistical information is published in accordance with an approved release calendar.
In case of delay, users are notified in advance with the reason and the new publication date.
The share of statistical information published on time is 100 percent.
15.1. Comparability - geographical
Statistical information is comparable across the EU.
15.2. Comparability - over time
The extensive revision of NACE in 2007 leaded to major changes in PRODCOM estimates as they were calculated starting with 2008.
Data according to the new NACE Rev.2 version were recalculated, starting from 2005.
Data for NACE Rev.1 is available from 1996 to 2004. All the data for 1996-2002 were recalculated based on CN codes.
In 2021, there is a specific reason for the break in the statistical time series (changes in the PRODCOM variable), because a new subcontracting variable appears.
15.3. Coherence - cross domain
Values of the indicators are compared with the data of the short-term survey of industrial enterprises, foreign trade, fuel and energy balance, the average prices of individual products of Eurostat PRODCOM survey units.
15.4. Coherence - internal
Product codes are consistent across different versions of PGPK 2022 Part II (PRODCOM).
Production and sales indicator values are cross-checked for accuracy.
Unit prices of products are regularly verified and compared.
Variables in time series are examined using a three-year interval.
In 2024, the amount of EUR 177 thousand was allocated for the monthly statistical survey of the production of industrial products.
In 2024, the average time of respondents to fill in the Statistical Report on the Production of Industrial Products of the Company (P-12) - 35 min.
Administrative sources are used to reduce the statistical reporting burden: Data sources of the State Tax Inspectorate, data on the production of dairy and meat products are obtained from the Agricultural Data Center.
State Data Agency (Statistics Lithuania) pays a lot of attention to reducing the statistical reporting burden on respondents. Its obligations to implement the Law on Reducing the Administrative Burden of the Republic of Lithuania and to reduce the statistical reporting burden of the respondents are defined in the Policy of Reducing the Statistical Reporting Burden of the Respondents.
Revisions of statistical indicators are performed in accordance with the Description of procedure for performance, analysis and publication of revisions of statistical information, approved by Order No DĮ-173 of 30 June 2021 of the Director General of Statistics Lithuania. Users are informed in advance about scheduled revisions by intermediate of a Calendar of Scheduled Revisions of Statistical Indicators.
17.2. Data revision - practice
Data on manufacturer's sales of goods are submitted to Eurostat annually for the previous reference year (T+6). If major revisions have been made since the last data submission, then (T+18) are send a revised dataset.
After amendments in legal acts and detection of significant errors, the revisions of statistical indicators are performed.
Users are informed immediately about these results and changes, as well as about the planned revisions (by intermediate of a planned statistical information revision calendar).
18.1. Source data
Monthly statistical report P-12 - statistical report of enterprises' production of commodity.
Administrative sources - data on the production of dairy and meat products received from the Agricultural Data Center.
Administrative sources - tax authority data (VAT).
18.2. Frequency of data collection
Monthly
18.3. Data collection
Statistical data are collected via the electronic statistical data preparation and transmission system e. Statistika.
Data are submitted in the Statistical Report on the Production of Industrial Products of Enterprises (form P-12), approved by Order No. DĮ-223 of 11 October 2022 of the Director General of Statistics Lithuania “On the Approval of the Statistical Form P-12 (Monthly) ‘Statistical Report on the Production of Industrial Products of Enterprises’”.
The statistical report form is regularly reviewed and, if necessary, improved (last tested in 2016) to reduce the statistical reporting burden on respondents.
The statistical report form is published at the following address: Verslui website.
The questionnaire for commodity production has two parts: production using own materials and production using customer materials (subcontracting).
After collecting the data, we carry out:
A comparison with the short-term survey „Statistical Report on Industrial Activity”, which contains an indicator on the value of the customer's raw materials.
An additional call to enterprises that filled in the second part of the questionnaire (production using customer materials) to check whether production is indeed taking place using customer materials.
When interviewing companies, it becomes clear that companies often do not distinguish between own materials and materials from customers. They consider the materials purchased by the company to be the customer's materials and not their own.
18.4. Data validation
To ensure the quality of statistical data, statistical data verification and validation are performed. During data entry, it is checked whether the data meet mathematical and logical control conditions. When discrepancies are identified, statistical data are corrected according to the nature of the error. Statistical information is compared with information from other countries and other statistical surveys, as well as with statistical information from previous periods. In cases of non-response to the survey, missing statistical data are imputed. For the imputation of statistical data of non-responding enterprises, short-term business statistics data and data from previous periods of these enterprises are used. When inaccuracies are detected, statistical data are corrected and data validity is confirmed.
18.5. Data compilation
Statistical indicators are calculated by summing and grouping data across various dimensions and levels. In the absence of statistical data, missing information is estimated. Using administrative source information about the enterprise and statistical data from previous periods, statistical data are calculated based on the enterprise’s average prices, the structure of products manufactured, and taking into account the number of working days in the reporting month. The process of compiling statistical indicators is described in more detail in the Methodology for the Production of Industrial Products of Enterprises.
18.6. Adjustment
The imputation method of non-response is used to fill-in the missing indicators.
The imputation of missing data is based on other administrative sources (STS) and the time series (previously reported data by the same enterprise).
The survey sample consists of 3533 (578 of which are from alternative sourses) observation units. The collection of production is separated for production on own account and production on subcontracting.
The questionnaire for commodity production has two parts:
production using on own account - it requires volume of total production, volume and value for total sales, and volume and value of sales in domestic market.
production using the client's material - it requires volume of total production and fee paid in value (total and in domestic market)
25 August 2025
Total manufactured production consists of production carried on territory of Lithuania by Lithuanian enterprises, including production for the enterprise's own purposes.
Sold production represents the quantity and value of sold production and industrial services.
Actual production represents all production that was produced by the enterprise during the reference period, regardless of whether it was sold, stored in stocks, used for further processing or it was production under sub-contracted operations. Actual production is presented as quantity.
At national level, the total sales and the sales in domestic market (in volume and value) are available.
Total production (in volume) is collected for all PRODCOM codes where the physical units are available.
The value is expressed in Euro. The volume is expressed in a unit specific for each product.
The reporting unit - Enterprise = Kind of activity unit (KAU).
The observation unit - Kind of activity unit (KAU), principal and secondary activities.
Industrial companies (from B, C sectors and E sector 38.32 class, according to NACE Rev.2.) and non-industrial enterprises engaged in industrial activities.
The survey covers all industrial enterprises with more than 4 employees and enterprises with secondary industrial activity, having more than 500.000 EUR turnover from the industrial activity.
Information can be calculated at the national level and on regional level: county.
Year 2024
A cut sample selected from the population is used for the statistical survey. The sampling plan is compiled on the basis of information of the Statistical Register of Economic Entities on the type of economic activity of the enterprise, the number of employed persons and annual turnover class level. The sample includes companies with at least 90 per cent of the total annual sales of the relevant class. The default rate is low. Data are revised (new information is received - data from administrative sources; respondents are revising the reports provided). Estimation of the values of the missing indicators has no significant effect on the overall accuracy. The quality of administrative data is ensured by searching for excreted, missing, duplicate values, analyzing the results and, if necessary, editing the data.
For volumes: measure units are specific to each PRODCOM code.
For value (sales): thousands EUR
Statistical indicators are calculated by summing and grouping data across various dimensions and levels. In the absence of statistical data, missing information is estimated. Using administrative source information about the enterprise and statistical data from previous periods, statistical data are calculated based on the enterprise’s average prices, the structure of products manufactured, and taking into account the number of working days in the reporting month. The process of compiling statistical indicators is described in more detail in the Methodology for the Production of Industrial Products of Enterprises.
Monthly statistical report P-12 - statistical report of enterprises' production of commodity.
Administrative sources - data on the production of dairy and meat products received from the Agricultural Data Center.
Administrative sources - tax authority data (VAT).
PRODCOM data, as a part of the statistical information collected and disseminated by NSI, contains:
Monthly data of the volume of production for the main aggregated PRODCOM codes
Annual data of the volume and value by PRODCOM codes, as sum of the 12 months of the year.
Monthly statistical information is published on the last working day of the month after the end of the reporting month, annual - on the 80th day after the end of the reporting year.
Statistical information is comparable across the EU.
The extensive revision of NACE in 2007 leaded to major changes in PRODCOM estimates as they were calculated starting with 2008.
Data according to the new NACE Rev.2 version were recalculated, starting from 2005.
Data for NACE Rev.1 is available from 1996 to 2004. All the data for 1996-2002 were recalculated based on CN codes.
In 2021, there is a specific reason for the break in the statistical time series (changes in the PRODCOM variable), because a new subcontracting variable appears.
