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 Industrial Production Index (IPI) measures the real monthly change of production in mining and quarrying, manufacturing, electricity, gas, steam and air conditioning, water supply sectors. The IPI is based on the deflated turnover.
Indicator of the monthly change in the volume of industrial production assuming constant technology and unchanging input structure. 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 Guideline.
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
IPI covers economic activities listed in Sections B to E36 of NACE Rev. 2, all size classes are covered.
3.4. Statistical concepts and definitions
The definition of IPI includes the sales value of industrial production from industrial activity invoiced by the reporting unit during the reference period (without VAT and excises) and work done by enterprises working by subcontracting. Enterprises working by subcontracting provide separate data on unpaid raw materials (contingent valuation, if enterprise does not have true value), which are added to the work done. It is done, because subcontractors sometimes produce commodities from own materials, and to avoid big fluctuation in IPI case unpaid raw materials are evaluated.
According Rules for specific activities of NACE Rev.2 a principal which completely or partly outsources the transformation process is classified under manufacturing in same manufacturing activities as a contractor is classified, because it owns the raw material as input to the production process and therefore owns the final output.
VAT and all other taxes, which fall on products and services when they leave the factory, are also excluded.
The calculation of the IPI at constant prices is based on the producer price index. Monthly results are compared with the results of the previous of the reporting month and a corresponding month of the previous year, as well as with the average month of the base year.
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).
3.5. Statistical unit
Reporting unit – legal entity, observation unit – KAU
3.6. Statistical population
The frame of industrial enterprises in operation extracted from Statistical Business Register includes enterprises of all legal forms and ownerships, the main activity of which according to the NACE Rev. 2 classified in Sections B to E36. The frame is fixed for one year.
Population in 2024 is 10689 operating enterprises (Sections B to E36).
3.7. Reference area
The geographical coverage of the IPI is whole territory of Lithuania.
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.
3.8. Coverage - Time
The length of the time series is since January 1998.
3.9. Base period
Base year 2021=100
Indices are transmitted to Eurostat.
Nationally data on industrial production are published in absolute figures (thousand EUR), indices and percentage changes.
Month
6.1. Institutional Mandate - legal acts and other agreements
In the process of statistical data collection, processing and analysis and dissemination of statistical information, the State Data Agency fully guarantees confidentiality of the data submitted by respondents (households, enterprises, institutions, organizations and other statistical units), as defined in the Confidentiality policy guidelines of the State Data Agency.
7.2. Confidentiality - data treatment
Statistical Disclosure Control Manual, approved by Order No DĮ-26 of 19 January 2024 of the Director General of the State Data Agency;
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-163 of 20 August 2024 of the Director General of the State Data Agency.
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.
8.1. Release calendar
Statistical information is published in accordance with an Official Statistics Calendar, release dates are announced one year in advance.
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.
Statistical information is published following the Official Statistics Dissemination Policy Guidelines and Statistical Information Dissemination and Communication Rules of the State Data Agency approved by Order No DĮ-208 of 8 October 2024 of the Director General of the State Data Agency.
The data are send to Eurostat.
Monthly.
10.1. Dissemination format - News release
The IPI is published in a press release on the 23st calendar day after the end of the reporting month in Lithuanian and English.
Data on totals and detailed breakdowns are disseminated in absolute figures (thousand EUR), indices and growth rates (unadjusted, calendar or seasonally adjusted) for national users.
10.2. Dissemination format - Publications
The annual statistical information is provided in the electronic publication Lithuania in Figures.
10.3. Dissemination format - online database
Data on the monthly IPI (2021=100) at the 2-digit NACE level and above, MIGs, gross, calendar and seasonal adjusted data are accessed in the Database of Indicators (Business statistics -> Industry -> Industrial production).
10.4. Dissemination format - microdata access
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 theOfficial Statistics Portal.
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.
11.2. Quality management - assessment
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 (European checklists for survey managers)),
- 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.
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.
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.
The System of user-satisfaction surveys covers three Internet-related user surveys:
Internet accessibility (monthly, quarterly);
Users registered to the Alert-me web services (monthly, quarterly);
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 IPI users isn't conducted.
12.3. Completeness
Production index is produced by sections B to E36 as well as production indices broken down by industrial activities on 2-digit and 3-digit level of NACE Rev.2. and MIG. Activities 05, 07 and 09 of NACE Rev. 2 (not relevant to Lithuania).
Time series are available since January 1998.
13.1. Accuracy - overall
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.
13.2. Sampling error
A coefficient of variation is used as a measure of the precision of an estimate.
Coefficient of variation, %
January
February
March
April
May
June
July
August
September
October
November
December
Total
0.19
0.19
0.16
0.16
0.22
0.18
0.19
0.18
0.17
0.17
0.22
0.34
13.3. Non-sampling error
Estimates of errors not related to the sample are negligible.
The first IPI 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 of IPI)
Month
January
February
March
April
May
June
July
August
September
October
November
December
Percent
0.3
0.1
0.1
1.4
3.0
0.0
3.1
1.9
1.7
1.7
2.0
1.3
Unit non-response rate (last publication of IPI)
Month
January
February
March
April
May
June
July
August
September
October
November
December
Percent
0.3
0.1
0.1
1.4
3.0
0.0
3.1
1.9
1.7
1.7
2.0
1.3
14.1. Timeliness
The data are collected monthly from reporting units on the 10th calendar day of each month. Statistical information is published on the 23nd day after the end of the reference month.
100 per cent of statistical information is released on time.
15.1. Comparability - geographical
The Industrial Production Index is comparable with other EU Member States IPI. Definitions and classifications applied accordance requirements of EU regulations.
15.2. Comparability - over time
Industrial Production Index data is 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 IPI comparable in time.
15.3. Coherence - cross domain
Industrial Production Index: tendencies of the values in coherence with SBS, PRODCOM, survey on Business Tendency in Manufacturing . The sale of industrial production (it's a part of Turnover) is comparable to some other sources in business statistics and is use to some purposes.
Comparison with related variables: Monthly IPI results are compared with a monthly survey on the production of manufactured goods (monthly PRODCOM survey).
Comparison in time - with the results from previous month and corresponding month of the previous year.
Quarterly comparison with data on enterprises level and total activities with the quarterly financial results of the survey, which is prepared for the quarterly national accounts.
Comparison with annual SBS data: compare variable Income and the definition of financial indicator Income is slightly different from the definition of IPI, then general trends by total activities are compared. Besides, it takes into account the reduction of the administrative burden on enterprises to produce an annual survey ant to calculate revised variable of the IPI is not available.
The tendencies of IPI of the STS survey are compared with Business Tendency Survey in Manufacturing.
The IPI from STS survey is used for the first estimate of the quarterly gross domestic product.
15.4. Coherence - internal
Values of indicator are coherent. The higher level aggregations are derived from detailed values according to well-defined procedures. Industrial Production 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) 11376 hours per year (for Production, Turnover and Labour input indicators).
Burden (for variables Production, Turnover and Hours worked) 18493 hours per year.
The same revision policy is applied to IPI data released nationally and transmitted to Eurostat.
Long-term planned (major) revisions are conducted after amendments in legal acts, due to changes in the base year, methodology and classifications entail revisions. The time series from 1Q 1998 are back-casted.
Short-term planned revisions:
First revision to revise data of previous period due the needs of users for timely and qualitative information and to complete new answers for previous period to reduce non-response.
Second revision is on the end of the year for all month and based on more complete answers (additionally use other sources: surveys and/or administrative data).
Seasonal adjustment models are revised once a year, data are revised for current year and 3 years backwards.
17.2. Data revision - practice
Data revisions were made for IPI:
Long-term planned (major) revisions were conducted due to changes in the base year. The time series from 1Q 1998 were back-casted.
Short-term planned revisions:
every reference month was revised previous month;
in the end of the year were revised all indices for all months;
seasonal and calendar adjustment model was revised, data on IPI were revised for current year and 3 years backwards.
The first data published on 23st day is provisional, every next month the previous period is revised and last revised data is published after the revision of all monthly data in the end of the year and as final is published in January.
The revised data are published as “Revised data” in the Statistical Databases of Statistics Lithuania when they are stated final.
There is no vintage database.
Differences between growth rates, 2022-2024 average
Mean Revision (MR)
Mean Absolute Revision (MAR)
Unadjusted†
Calendar adjusted†
Seasonally adjusted‡
Unadjusted†
Calendar adjusted†
Seasonally adjusted‡
Total IPI (B_TO_E36)
-0.34
0.48
0.02
1.53
1.2
1.61
† As compared to the corresponding month of the previous year
‡ As compared to the previous month
18.1. Source data
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.
2450 enterprises were included in the sample in 2024.
The sample sizes in stratum (persons employed classes):
1-9: 11 per cent
10-49: 34.4 per cent
50 and more: all enterprises, 100 per cent
18.2. Frequency of data collection
Month
18.3. Data collection
One common questionnaire (Monthly industrial enterprise activity questionnaire 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.
For sections D and E customized 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.
The data are collected using the Business Services Enterprise Activity Statistical Questionnaire via the Internet, through the Electronic Statistical Business Data Preparation and Transmission System e.Statistics.
18.4. Data validation
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: Staffs regularly review 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 statistics 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.
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 BCS_PVI domain by eDAMIS.
Comparisons are made with monthly turnover (VAT declaration from Taxes authority) and PRODCOM data as well as annual SBS.
18.5. Data compilation
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. 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.
Procedures for non-response: Imputation is used to treat for non-response. The State Tax Inspectorate data 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.
Calculation of the Industrial Production Index in constant prices is based on the turnover (sales from industrial activity) deflated by the producer price index, base year 2021=100. Monthly production sold from industrial activity at current prices (VAT and excises excluded) sold by enterprises during the reporting month is recalculated at constant prices (2021=100) applying the producer price index (2021=100). The volume of production sold during the reference month is divided by the volume of production sold during preceding month at constant prices (without VAT and excises). This is done at the 4-digit level of NACE Rev.2.
Turnover (sales from industrial activity) include the total sales value of the product invoiced by the reporting unit during the reference period (without VAT and excises) and work done by enterprises working by subcontracting. Enterprises working by subcontracting provide separate data on unpaid raw and materials (contingent valuation, if enterprise not has true value), which are added to the work done.
The deflated 4-digit NACE level data are progressively aggregated to higher levels and divided by the constant price data at the corresponding level in the previous period to obtain the 3-, 2-digit NACE level indices and overall index (of these only the latter two are published). Separate indices are compiled at the aggregate level for mining, quarrying and manufacturing, electricity, gas and water supply, and Main Industrial Groups (MIGs).
18.6. Adjustment
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 Ecotrim program is applied to balance the data. The time series seasonal adjustment model is established for one year and is updated once a year, with all data for the months of the reference year. Seasonal and calendar factors are evaluated in the modelling. Regressors of working days, leap years are used. Exceptions are identified and adjusted; the calendar of Lithuanian public holidays is taken into account. Number of excretions, statistical characteristics of the residues (seasonality of the residues, independence, normality, etc.) are checked when approving the results obtained. Seasonal adjustment is carried out using the recommendations laid down in Handbook on Seasonal Adjustment (2018).
The Industrial Production Index (IPI) measures the real monthly change of production in mining and quarrying, manufacturing, electricity, gas, steam and air conditioning, water supply sectors. The IPI is based on the deflated turnover.
Indicator of the monthly change in the volume of industrial production assuming constant technology and unchanging input structure. 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 Guideline.
13 June 2025
The definition of IPI includes the sales value of industrial production from industrial activity invoiced by the reporting unit during the reference period (without VAT and excises) and work done by enterprises working by subcontracting. Enterprises working by subcontracting provide separate data on unpaid raw materials (contingent valuation, if enterprise does not have true value), which are added to the work done. It is done, because subcontractors sometimes produce commodities from own materials, and to avoid big fluctuation in IPI case unpaid raw materials are evaluated.
According Rules for specific activities of NACE Rev.2 a principal which completely or partly outsources the transformation process is classified under manufacturing in same manufacturing activities as a contractor is classified, because it owns the raw material as input to the production process and therefore owns the final output.
VAT and all other taxes, which fall on products and services when they leave the factory, are also excluded.
The calculation of the IPI at constant prices is based on the producer price index. Monthly results are compared with the results of the previous of the reporting month and a corresponding month of the previous year, as well as with the average month of the base year.
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).
Reporting unit – legal entity, observation unit – KAU
The frame of industrial enterprises in operation extracted from Statistical Business Register includes enterprises of all legal forms and ownerships, the main activity of which according to the NACE Rev. 2 classified in Sections B to E36. The frame is fixed for one year.
Population in 2024 is 10689 operating enterprises (Sections B to E36).
The geographical coverage of the IPI is whole territory of Lithuania.
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.
Month
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.
Indices are transmitted to Eurostat.
Nationally data on industrial production are published in absolute figures (thousand EUR), indices and percentage changes.
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. 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.
Procedures for non-response: Imputation is used to treat for non-response. The State Tax Inspectorate data 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.
Calculation of the Industrial Production Index in constant prices is based on the turnover (sales from industrial activity) deflated by the producer price index, base year 2021=100. Monthly production sold from industrial activity at current prices (VAT and excises excluded) sold by enterprises during the reporting month is recalculated at constant prices (2021=100) applying the producer price index (2021=100). The volume of production sold during the reference month is divided by the volume of production sold during preceding month at constant prices (without VAT and excises). This is done at the 4-digit level of NACE Rev.2.
Turnover (sales from industrial activity) include the total sales value of the product invoiced by the reporting unit during the reference period (without VAT and excises) and work done by enterprises working by subcontracting. Enterprises working by subcontracting provide separate data on unpaid raw and materials (contingent valuation, if enterprise not has true value), which are added to the work done.
The deflated 4-digit NACE level data are progressively aggregated to higher levels and divided by the constant price data at the corresponding level in the previous period to obtain the 3-, 2-digit NACE level indices and overall index (of these only the latter two are published). Separate indices are compiled at the aggregate level for mining, quarrying and manufacturing, electricity, gas and water supply, and Main Industrial Groups (MIGs).
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.
2450 enterprises were included in the sample in 2024.
The sample sizes in stratum (persons employed classes):
1-9: 11 per cent
10-49: 34.4 per cent
50 and more: all enterprises, 100 per cent
Monthly.
The data are collected monthly from reporting units on the 10th calendar day of each month. Statistical information is published on the 23nd day after the end of the reference month.
The Industrial Production Index is comparable with other EU Member States IPI. Definitions and classifications applied accordance requirements of EU regulations.
Industrial Production Index data is 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 IPI comparable in time.
