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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | Statistics Lithuania |
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1.2. Contact organisation unit | Short Term Business Statistics Division. |
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1.5. Contact mail address | 29 Gedimino Ave., LT–01500 Vilnius, Lithuania |
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2.1. Metadata last certified | 11/06/2024 | ||
2.2. Metadata last posted | 11/06/2024 | ||
2.3. Metadata last update | 11/06/2024 |
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3.1. Data description | |||
The objective of the indicator - index of hours worked by employees - to approximate the development of hours worked by employees in the enterprises of INDUSTRY, CONSTRUCTION, TRADE and SERVICES. |
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3.2. Classification system | |||
National version (EVRK Rev. 2) of the Statistical Classification of Economic Activities in the European Community (NACE Rev. 2). |
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3.3. Coverage - sector | |||
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3.4. Statistical concepts and definitions | |||
Hours worked by employees is the total number of hours worked by employees during the reference quarter. This covers all hours worked including overtime, night work, working on weekends and public holidays; time spent on preparation for work, short rest periods; time spent at the place of work during which no work is done (due to technical obstacles) but for which payment is made in accordance with legislation or collective agreement. Hours paid but not worked (such as sickness, strike, annual leave) are excluded. Index of hours worked by employees is a relative indicator showing the change in the time worked during the reference quarter.
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3.5. Statistical unit | |||
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3.6. Statistical population | |||
The frame population is listing from Business Register. The frame population covers all active enterprises without any threshold whose principal activity is classifies into activities typical for each sector mentioned below. INDUSTRY Sections B to E36 of NACE Rev. 2, MIGs and Section-level of NACE Rev, 2, Division E36. In 2023 population covers 10 690 active enterprises. CONSTRUCTION Section F of NACE Rev. 2. In 2023 population covers 11 560 active enterprises. TRADE Section G of NACE Rev. 2 (G45, G46, G47). In 2023 population covers 24 530 active enterprises. SERVICES Sections H, I, J, L, M (excluding M701, M72, M75), N of NACE Rev. 2. In 2023 population covers 35 841 active enterprises.
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3.7. Reference area | |||
Territory of Lithuania. The activities outside the Lithuania are not included. |
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3.8. Coverage - Time | |||
INDUSTRY, CONSTRUCTION The time series cover time since the first quarter 1998. TRADE, SERVICES The time series cover time since the first quarter 2010. |
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3.9. Base period | |||
The base year 2021=100. |
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Indices are published nationally and those indices are transmitted to Eurostat.
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Quarter. |
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6.1. Institutional Mandate - legal acts and other agreements | |||
The European Parliament and Council adopted the European Business Statistics (EBS) Regulation (EU) 2019/2152 on 27 November 2019, followed by the Commission Implementing Regulation 2020/1197 laying down technical specifications and arrangements pursuant to the mentioned EBS Regulation (General Implementing Act). The former legal basis for the STS indicators is the Council Regulation No 1165/98 of 19 May 1998 concerning short-term statistics and subsequent amending regulations. |
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6.2. Institutional Mandate - data sharing | |||
Data is transmitted only to Eurostat. |
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7.1. Confidentiality - policy | |||
Law on Statistics of the Republic of Lithuania; Regulation (EC) No 223/2009 of the European Parliament and of the Council of 11 March 2009 on European statistics and repealing Regulation (EC, Euratom) No 1101/2008 of the European Parliament and of the Council on the transmission of data subject to statistical confidentiality to the Statistical Office of the European Communities, Council Regulation (EC) No 322/97 on Community Statistics, and Council Decision 89/382/EEC, Euratom establishing a Committee on the Statistical Programmes of the European Communities (OJ 2009 L87, p. 164). 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. |
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7.2. Confidentiality - data treatment | |||
Statistical Disclosure Control Manual, approved by Order No DĮ-26 of 19 January 2024 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. 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. |
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8.1. Release calendar | |||
Statistical information is published on the Official Statistics Portal according to the Official Statistics Calendar. |
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8.2. Release calendar access | |||
8.3. Release policy - user access | |||
Statistical information is published following the Official Statistics Dissemination Policy Guidelines and Statistical Information Dissemination and Communication Rules of Statistics Lithuania approved by Order No DĮ-176 of 2 July 2021 of the Director General of Statistics Lithuania. |
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Indices are transmitted to Eurostat quarterly and the same frequency is published nationally. |
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10.1. Dissemination format - News release | |||
None |
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10.2. Dissemination format - Publications | |||
None |
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10.3. Dissemination format - online database | |||
STS data on hours worked by employees are disseminated in full detail in the Database of Indicators. INDUSTRY Database of Indicators (Business statistics -> Industry -> Labour input indicators in industrial enterprise -> Indices of hours worked in industry enterprises (2021-100)). CONSTRUCTION Database of Indicators (Business statistics -> Construction -> Labour input indicators of construction enterprises -> Indices of hours worked in construction enterprises (2021-100)). TRADE Database of Indicators (Business statistics -> Domestic trade -> Labour indicators of trade and catering enterprises -> Indices of hours worked in trade and catering enterprises (2021-100)). SERVICES Database of Indicators (Business statistics -> Services -> Indicators of service enterprises-> Labour input indicators of service enterprises -> Indices of hours worked in service enterprises (2021-100)). |
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10.4. Dissemination format - microdata access | |||
Statistics Lithuania, in response to the needs of users of statistical information, provides them with access to open data sets with data on statistical observation units. More information is available on the Official Statistics Portal, at Open data. |
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10.5. Dissemination format - other | |||
10.6. Documentation on methodology | |||
The process of the preparation of statistical information is presented on the Business statistics section in the Official Statistics Portal: |
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10.7. Quality management - documentation | |||
Quality documentation (Metadata) is updated each quarter and disseminated on the Business statistics section in the Official Statistics Portal: |
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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, 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. |
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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. 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. |
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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. |
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12.2. Relevance - User Satisfaction | |||
Since 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 opinion surveys and results thereof are published in the User Surveys section on the Statistics Lithuania website. |
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12.3. Completeness | |||
All STS 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 (only in Lithuanian).
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13.1. Accuracy - overall | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Frame population is carried our from the Statistical Business Register (SBR). To define frame population main variables are: economic activity, number of persons employed and turnover of enterprises. Sampling design – simple random stratified sample. Strata are conducted according to the kind of activity and the number of persons employed. Non response rate is low (data can be submitted electronically). Impact of measurement and processing errors is eliminated by finding outliers, contacting with the reporting units, using editing procedures to the raw data, analysis. The overall accuracy is high. The measure of the estimates – coefficient of variation. |
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13.2. Sampling error | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
The coefficient of variation is calculated on the value of hors worked by employees each quarter:
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13.3. Non-sampling error | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Estimates of errors not related to the sample are negligible.
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14.1. Timeliness | |||
Statistical information for INDUSTRY, TRADE, SERVICES is published on the 90th day, for CONSTRUCTION - on the 60th day after the end of the reporting quarter as well as sent to Eurostat. |
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14.2. Punctuality | |||
Statistical information is published in accordance with Official Statistics Calendar, also is sent to Eurostat according with the approved Release Calendar. The rate of data publications at SL and transmissions to Eurostat on time is equal to 100 per cent. |
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15.1. Comparability - geographical | |||
Statistical information is comparable between EU countries. |
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15.2. Comparability - over time | |||
INDUSTRY, CONSTRUCTION Quarterly time series are comparable since first quarter of 1998. TRADE, SERVICES Quarterly time series are comparable since first quarter of 2010. |
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15.3. Coherence - cross domain | |||
The data are comparable with Labour statistics. |
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15.4. Coherence - internal | |||
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. |
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The cost is determined for statistical survey in total and it is not possible to calculate for separate indicators. INDUSTRY Total cost 13 750 hours per year. Total burden (respondents) 19 184 hours per year. CONSTRUCTION Costs 4 880 hours per year. Total burden (respondents) 5 894 hours per year. TRADE Costs 16 545 hours per year. Total burden (respondents) 20 395 hours per year. SERVICES Costs 8 229 hours per year. Total burden (respondents) 7 914 hours per year. |
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17.1. Data revision - policy | |||
Revisions of statistical indicators are performed in accordance with the General Principles behind the Performance, Analysis and Announcement of Revisions of Statistical Indicators. Users are informed about scheduled revisions in advance through a Calendar of Scheduled Revisions of Statistical Indicators. The same revision policy is applied for the 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 first quarter 1998 (INDUSTRY, CONSTRUCTION) or first quarter 2010 (TRADE, SERVICES) are back-casted. |
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17.2. Data revision - practice | |||
After amendments in legal acts, changes of the base year and classifications, detection of significant errors, revisions of statistical indicators are performed. Users are informed about the results and changes. |
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18.1. Source data | |||
Data source of statistical information on variable hours worked is monthly or quartely surveys in each sector. INDUSTRY Questionnaire for sections B and C: Monthly statistical report on industrial enterprises P-11. Questionnaires for sections D and E: 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. CONSTRUCTION Monthly statistical questionnaire on Performance of Construction Works (KS-01). TRADE Monthly statistical questionnaire on trade and catering enterprises (PR-01). SERVICES Quartely statistical questionnaire on business services (PS-20). Statistical indicators of accommodation activity (Division I55) are evaluated using statistical data of the survey of accommodation services. |
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18.2. Frequency of data collection | |||
Quarterly variable in the monthly questionnaires for enterprices of INDUSTRY, CONSTRUCTION, TRADE and quartely questionnaire for enterprises of SERVICE. |
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18.3. Data collection | |||
Statistical data are collected through an electronic statistical data preparation and transfer system e-Statistics. |
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18.4. Data validation | |||
To ensure the quality of statistical data, statistical data analysis, data verification and validation, editing and recording of missing values at the level of statistical data arrays are performed. Statistics are checked as they are entered and processed. Arithmetic, logical and compatibility statistics control, comparison of data with the data of the previous period and the corresponding period of the previous year is provided. Statistics are corrected taking into account the type of error: mandatory and ignored (warnings to respondents about possible errors). Reminders are sent to respondents who have not provided statistics, reasons for non-reporting are clarified. |
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18.5. Data compilation | |||
The estimates are computed using regular stratified random sampling formulae (ratio estimator). The index is calculated in comparison with the quarterly average of 2021 (base year). The process of the preparation of statistical information is described in the surveys methodologies (only in Lituanian): Industrial enterprise activity statistical survey methodology Construction enterprises activity statistical survey methodology Monthly statistical survey on trade and catering enterprises methodology Methodology of the statistical survey on the activities of service enterprises
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18.6. Adjustment | |||
The time series of hours worked by employees are calendar day adjusted, using the TRAMO/SEATS method in JDemetra + (version 2.2.2). A direct method is used for this adjustment. The model is chosen using a detailed analysis module. The logarythm of transformation is tested. Calendar factors are estimateds, 2 regressors (working days) and national holiday's calendar are used, leap year is adjusted. Reg/ARIMA is used for calendar adjustment. The significance levels, the number of outliers and statistics on residuals (residual normality, residual assimetry, etc.) are controlled in the data series. Calendar adjustment models and parameters are fixed for one year and revised once a year when the data of all reporting quarters is available. The horizon revision covers 4 years: the currenr year and 3 years backwards. Alignment is performed using the manual Handbook on Seasonal Adjustment (2018).
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