Measurement unit(s)
Methodological documentation
Response burden
Data revision
Comments and other information
1 | Contact | ||||||||||||||||
1.1 | Contact organisation | Statistics Lithuania |
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1.2 | Contact organisation unit | Short Term Business Statistics Division |
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1.3 | Contact name | Lina Kiškienė |
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1.4 | Contact person function | Chief specialist |
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1.5 | Contact mail address | 29 Gedimino Ave., LT-01500 Vilnius, Lithuania |
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1.6 | Contact email address | ||||||||||||||||
1.7 | Contact phone number | +370 5 236 4797 |
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1.8 | Contact fax number | +370 5 236 4749 |
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2 | Metadata update | ||||||||||||||||
2.1 | Metadata last certified | 2020-12-18 |
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2.2 | Metadata last posted | 2020-12-28 | |||||||||||||||
2.3 | Metadata last update | 2020-12-18 | |||||||||||||||
3 | Statistical presentation | ||||||||||||||||
3.1 | Description of statistical information (main characteristics, purpose) |
The objective of the indicator is to show the development and changes in wages and salaries in industrial enterprises. |
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3.2 | Classifications(s), classification system |
National version (EVRK Rev. 2) of the Statistical Classification of Economic Activities in the European Community (NACE Rev. 2) |
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3.3 | Sector coverage | Non-financial enterprises listed in sections B, C, D and Division 36 of Section E of EVRK Rev. 2. |
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3.4 | Statistical concepts and definitions | Wages and salaries refers to remuneration payable to the employee in return for the work done in cash, goods, services and/or privileges, including income taxes, social insurance contributions, etc. payable by the employee. It includes various bonuses in cash and in kind: allowances, severance pays, gratuity, premiums, compensations, increments. It does not include social insurance contributions payable by the employer, money meant for the purchase of equipment, working clothes, various training courses, expenses on business trips (travel, accommodation), benefits from the State Social Insurance Fund in case of temporary disability (sickness, maternity leave, parental leave before the child has reached the age of three). Index of the number of wages and salaries represents changes in wages and salaries over a certain period of time. |
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3.5 | Statistical unit | Kind of activity unit |
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3.6 | Statistical population | All types of enterprises with the main economic activity - industrial activities. |
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3.7 | Reference area | The entire economic territory of the country |
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3.8 | Time coverage | Since I quarter 1998 |
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3.9 | Base period | 2015 |
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4 | Measurement unit(s) |
Index |
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5 | Reference period | Quarter |
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6 | Institutional mandate | ||||||||||||||||
6.1 | Legal acts and other agreements | Council Regulation (EC) No 1165/98 of May 1998 concerning short-term statistics, as last amended by Commission Regulation (EC) No 461/2012 of 31 May 2012 |
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6.2 | Data sharing and exchange |
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7 | Confidentiality | ||||||||||||||||
7.1 | Confidentiality policy |
In the process of statistical data collection, processing and analysis and dissemination of statistical information, Statistics Lithuania fully guarantees the confidentiality of the data submitted by respondents (households, enterprises, institutions, organisations and other statistical units), as defined in the Confidentiality Policy Guidelines of Statistics Lithuania. |
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7.2 | Confidentiality - data treatment | Description of Statistical Disclosure Control Methods, approved by Order No DĮ-124 of 27 May 2008 of the Director General of Statistics Lithuania. Integrated Statistical Information System Data Security Regulations and Rules for the Secure Management of Electronic Information in the Integrated Statistical Information System, approved by Order No DĮ-240 of 16 September 2020 of the Director General of Statistics Lithuania. |
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8 | Release policy | ||||||||||||||||
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 | Link to the release calendar |
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8.3 | Release procedure |
Statistical information is published following the Official Statistics Dissemination Policy Guidelines and Statistical Information Preparation and Dissemination Rules (only in Lithuanian). |
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9 | Frequency of dissemination | Quarterly |
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10 | Accessibility and clarity | ||||||||||||||||
10.1 | News release | - |
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10.2 | - |
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10.3 | Databases |
Database of Indicators (Business statistics -> Industry -> Quarterly industrial indicators -> Index of wages and salaries in industry enterprises (2015 – 100). |
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10.4 | Access to micro data |
Microdata are available and provided for scientific purposes according to the provisions set in the Description of Procedures for the Provision of Confidential Statistical Data for Scientific Purposes. More information is available on the Official Statistics Portal, at Data for scientific purposes. Public data files: users are also provided with opportunity to access public files with statistical data on observation units. More information is available on the Official Statistics Portal, at Public data files. |
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10.5 | Other | ||||||||||||||||
11 | Methodological documentation |
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12 | Quality management | ||||||||||||||||
12.1 | Quality assurance | The quality of statistical information and its production process is ensured by the provisions of the European Statistics Code of Practice and ESS Quality Assurance Framework. In 2007, a quality management system, conforming to the requirements of the international quality management system standard ISO 9001, was introduced at Statistics Lithuania. The main trends in activity of Statistics Lithuania aimed at quality management and continuous development in the institution are established in the Quality Policy. Monitoring of the quality indicators of statistical processes and their results and self-evaluation of statistical survey managers is regularly carried out in order to identify the areas which need improvement and to promptly eliminate the shortcomings. |
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12.2 | Quality assessment | Data quality is in line with the accuracy, timeliness and punctuality, comparability and compatibility requirements. Before the results are presented to users, additional statistical data quality control at the macro data level is performed. Statistical indicator estimates are compared with those from the previous period and the corresponding period of the previous year. The coefficient of variation (relative standard error), used as the main measure of the accuracy of estimate, does not exceed 3 per cent. The collection and compilation of statistical information was not affected by COVID-19. |
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13 | Relevance | ||||||||||||||||
13.1 | User needs | The main users of statistical information are State and municipal authorities and agencies, politicians, the media, research and business community, students, whose needs are satisfied without a breach of the confidentiality principle. |
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13.2 | User satisfaction | From 2005, user opinion surveys have been conducted on a regular basis. Official Statistics Portal traffic is monitored, website visitor opinion polls, general opinion poll on the products and services of Statistics Lithuania, target user group opinion polls and other surveys are conducted. In 2007, the compilation of a user satisfaction index was launched. The said surveys are aimed at the assessment of the overall demand for and necessity of statistical information in general and specific statistical indicators in particular. More information on user surveys and their results is available in section User surveys on the Statistics Lithuania website. |
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13.3 | Completeness of statistical information |
The indicator is published at the level of sections B, C, D and Division 36 of Section E of EVRK Rev. 2 and by main industrial groupings. The contents of the indicator comply with the EU requirements. |
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13.3.1 | Data completeness - rate |
100 per cent of information produced in accordance with the Official Statistics Programme Part I is published. |
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14 | Accuracy and reliability | ||||||||||||||||
14.1 | Overall accuracy | The survey is conducted using a sampling method. The sampling frame is based on information from the Statistical Business Register about the number of employees and income of enterprises. Enterprises are assigned to strata according to activity and the number of employees. The sample size is divided into strata by reducing the variance of estimates of the number of employees at a fixed sample size. The sample represents about 80 per cent of the total number of employees and about 95 per cent of the total income. The collection and compilation of statistical information was not affected by COVID-19. |
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2020 yr. quaters |
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14.2 |
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14.3 | Non-sampling error |
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14.3.1 | Non-response error |
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14.3.1.1 | Unit non-response rate |
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14.3.1.2 |
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15 | Timeliness and punctuality | ||||||||||||||||
15.1 | Timeliness |
Statistical information is published on the 90th day after the end of the reference quarter. |
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15.2 | Punctuality |
Statistical information is published in accordance with an Official Statistics Calendar. In case of delay, users are notified in advance by indicating the reason and a new date of publication. |
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15.2.1 | Percentage of statistical information released on time |
100 per cent |
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16 | Coherence and comparability | ||||||||||||||||
16.1 | Geographical comparability |
Statistical information is comparable across the EU. |
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16.2 | Comparability over time |
Full comparability is ensured. |
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16.2.1 | Length of comparable time series |
Since I quarter 1998 |
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17 | Coherence | ||||||||||||||||
17.1 | Cross-domain coherence |
The values of the indicator “Wages and salaries” are coherent with structural business statistics (SBS), labour statistics. |
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17.2 | Internal coherence |
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18 | Response burden |
An administrative data source is used. |
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19 | Data revision |
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19.1 | Revision policy |
The revision policy of Statistics Lithuania is provided in the document General Principles behind the Performance, Analysis and Announcement of Revisions of Statistical Indicators. |
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19.2 | Revision practice |
The results published are final and not revised later. |
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19.2.1 | Average of the change obtained during the revision |
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20 | Statistical processing | ||||||||||||||||
20.1 | Statistical data source |
Administrative data source – data of the State Social Insurance Fund Board (Sodra). |
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20.2 | Periodicity of statistical data collection |
Quarterly |
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20.3 | Statistical data collection |
To calculate the indicator, data are taken from the Sodra database. |
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20.4 | Statistical data validation |
In order to ensure data quality, verification procedures are followed: the completeness of the primary dataset is checked, labour input indicators (the number of hours worked, persons employed, wages and salaries) are compared at the unit level; the average values of labour input indicators are calculated. The results are compared to the previous period and to the corresponding period of the previous year. |
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20.5 | Data compilation | The indicator “Wages and salaries” is calculated based on the data on enterprises sampled for the statistical survey. The index of wages and salaries is calculated in comparison with the quarterly average of 2015 (base year). The process of the preparation of statistical information is described in the industrial enterprise activity statistical survey methodology (only in Lithuanian). |
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20.6 | Adjustment | – |
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21 | Comments and other information |
– |