|
For any question on data and metadata, please contact: Eurostat user support |
|
|||
1.1. Contact organisation | Hellenic Statistical Authority (EL.STAT.) |
||
1.2. Contact organisation unit | - Business Statistics Division Structural Business Statistics Section |
||
1.5. Contact mail address | Peireos 46 & Eponiton, 185 10 Piraeus GREECE |
|
|||
2.1. Metadata last certified | 02/02/2023 | ||
2.2. Metadata last posted | 02/02/2023 | ||
2.3. Metadata last update | 02/02/2023 |
|
|||
3.1. Data description | |||
Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS covers all activities of the non-financial business economy with the exception of agricultural activities and personal services. Limited information is available on banking, insurance and pension funds. Main characteristics (variables) of the SBS data category:
|
|||
3.2. Classification system | |||
Statistical Classification of Economic Activities in the European Community (NACE): NACE Rev.1 was used until 2001, NACE Rev. 1.1 since 2002, and NACE Rev 2 is used from 2008 onwards. Key data were double reported in NACE Rev.1.1 and NACE Rev.2 for 2008. From 2009 onwards, only NACE Rev.2 data are available. The regional breakdown of the EU Member States is based on the Nomenclature of Territorial Units for Statistics (NUTS). Detailed information about the consecutive NUTS Regulations can be found at Eurostat's website. The product breakdown is based on the Classification of Products by Activity (CPA) as stated in the Regulation establishing CPA 2008 and its amending Commission Regulation (EU) No 1209/2014 (from reference year 2015 onwards).
The classifications used in Structural Business Statistics are:
Annex I-IV: The results of the survey are broken down according to the following classifications:
|
|||
3.3. Coverage - sector | |||
The SBS coverage was limited to Sections C to K of NACE Rev.1.1 until 2007. Starting from the reference year 2008 data is available for Sections B to N and Division S95 of NACE Rev.2. With 2013 as the first reference year information is published on NACE codes K6411, K6419 and K65 and its breakdown. |
|||
3.4. Statistical concepts and definitions | |||
The statistical characteristics are defined in Annex I of Commission Regulation (EC) No 250/2009 |
|||
3.5. Statistical unit | |||
Enterprise and local unit, according to Regulation (EEC) 696/93 of the Council. |
|||
3.6. Statistical population | |||
The total of active enterprises residing in Greece and having activity in the sectors mentioned in section 3.3. |
|||
3.7. Reference area | |||
Total of the country and regions. |
|||
3.8. Coverage - Time | |||
2000-2020 |
|||
3.9. Base period | |||
Not applicable. |
|
|||
Ratios are expressed in percentages. |
|
|||
2020 |
|
|||
6.1. Institutional Mandate - legal acts and other agreements | |||
Year 1995 was the first year for the implementation of the Council Regulation No 58/97 (SBS Regulation). The Council Regulation No 58/97 has been amended three times: by Council Regulation No 410/98, Commission Regulation No 1614/2002 and European Parliament and Council Regulation No 2056/2002. As a new amendment of the basic Regulation it was decided to recast the Regulation No 58/97 in order to obtain a new "clean" legal text. The European Parliament and Council Regulation No 295/2008 was adopted on 14/02/2008 and the provisions of this Regulation are applicable from the reference year 2008. Regulation No 295/2008 has been amended by Commission Regulation (EU) No 446/2014. The legal framework concerning the organization and operation of ELSTAT is available at the following link: http://www.statistics.gr/en/legal-framework
EU Sectoral Legislation
|
|||
6.2. Institutional Mandate - data sharing | |||
Not applicable |
|
|||
7.1. Confidentiality - policy | |||
The issues concerning the observance of statistical confidentiality by the Hellenic Statistical Authority (ELSTAT) are arranged by articles 7, 8 and 9 of the Law 3832/2010 as in force, by Articles 8, 10 and 11(2) of the Regulation on Statistical Obligations of the agencies of the Hellenic Statistical System and by Articles 10 and 15 of the Regulation on the Operation and Administration of ELSTAT, which is avaliable at the following link: http://www.statistics.gr/en/statistical-confidentiality
The Statistical Confidentiality Policy of ELSTAT includes the rules and principles implemented by ELSTAT for the observance of statistical confidentiality and is available at the following link: |
|||
7.2. Confidentiality - data treatment | |||
The confidential data transmitted to ELSTAT by the agencies of the Hellenic Statistical System (ELSS) are used exclusively for statistical purposes. Authorization to access these data has exclusively only the staff of ELSTAT employed for that purpose and designated by act of the President of ELSTAT. The receipt, storage and processing of data by ELSTAT is carried out by implementing strict security and personal data protection rules, in accordance with ELSTAT’s Circular on the Information Systems Security Policy and Digital Data Protection.
------------------------ For primary suppressions, the threshold rule is applied, with a minimum frequency set to 3. For secondary suppressions, the hypercube method is applied. The Threshold Rule was used to reduce the number of confidential cells. The impact of the applied measures to reduce the number of confidential cells is evaluated as very good. Furthermore:
a) these data have been treated, as it is specifically set out in the Regulation on Statistical Obligations of the agencies of the Hellenic Statistical System (ELSS), in such a way that their dissemination does not prejudice statistical confidentiality or b) the statistical unit has given its consent, without any reservations, for the disclosure of data.
a) an appropriate request together with a detailed research proposal in conformity with current scientific standards have been submitted; b) the research proposal indicates in sufficient detail the set of data to be accessed, the methods of analyzing them, and the time needed for the research; c) a contract specifying the conditions for access, the obligations of the researchers, the measures for respecting the confidentiality of statistical data and the sanctions in case of breach of these obligations has been signed by the individual researcher, by his/her institution, or by the organization commissioning the research, as the case may be, and by ELSTAT.
a) the level of detail at which statistical data can be disseminated, so as the identification, either directly or indirectly, of the surveyed statistical unit is not possible; b) the anonymization criteria for the microdata provided to users; c) the granting to researchers access to confidential data for scientific purposes.
|
|
|||
8.1. Release calendar | |||
Publications that are related to the results of SBS survey are included in the release calendar. |
|||
8.2. Release calendar access | |||
The release calendar of ELSTAT is available at the following link: https://www.statistics.gr/en/calendar#92022
|
|||
8.3. Release policy - user access | |||
The data from the Structural Business Register are disseminated in accordance with ELSTAT’s Dissemination Policy, which is available at the following link: See also 7.2. |
|
|||
Annual |
|
|||
10.1. Dissemination format - News release | |||
The Press Release on Structural Business Statistics of the year 2020 is available at the following link:
|
|||
10.2. Dissemination format - Publications | |||
The tables of Structural Business Statistics are available at the following links: Wholesale - retail trade https://www.statistics.gr/en/statistics/-/publication/SDE03/- Real estate - renting - other business services https://www.statistics.gr/en/statistics/-/publication/SDE12/- Insurance companies https://www.statistics.gr/en/statistics/-/publication/SDE18/- Business services https://www.statistics.gr/en/statistics/-/publication/SDE06/- Autonomous Pension Funds https://www.statistics.gr/en/statistics/-/publication/SDE24/- Mines, quarries and salterns https://www.statistics.gr/en/statistics/-/publication/SIN09/- Construction https://www.statistics.gr/en/statistics/-/publication/SIN21/- Shipping companies https://www.statistics.gr/en/statistics/-/publication/SMA21/- Transport - Communications https://www.statistics.gr/en/statistics/-/publication/SME27/- Hotels and restaurants https://www.statistics.gr/en/statistics/-/publication/STO09/- |
|||
10.3. Dissemination format - online database | |||
ELSTAT provides all non-confidential data at aggregated level, through the tables that are published on its webpage. No online database available. |
|||
10.4. Dissemination format - microdata access | |||
Information on the access to confidential data for scientific purposes is available at the following link: |
|||
10.5. Dissemination format - other | |||
Not applicable |
|||
10.6. Documentation on methodology | |||
Structural Business Statistics are compiled according to Regulation (EC) No 295/2008 of the European Parliament and of the Council on Structural Business Statistics (recast) and the implementing Regulations (EC) No 250/2009 and (EC) No 251/2009 of the Commission as regards the definitions of the characteristics, the technical format for the data transmission and the data series respectively that are available at the following links: https://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2009:086:0001:0169:en:PDF https://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2009:086:0170:0228:EN:PDF The applied methodology takes into account international and European practices and in particular instructions, recommendations and standards of Eurostat. The documentation on methodology is available in greek and english. The link to the latest publications:
Metadata completeness – rate The completeness of metadata corresponds to a 100% percentage. |
|||
10.7. Quality management - documentation | |||
Quality report is transmitted to Eurostat, on an annual basis, when the compilation and validation of Structural Business Statistics is completed. Section 11.2 provides a more detailed description of the quality report. Documentation on quality policy is available in greek and english: https://www.statistics.gr/documents/20181/2571f853-1e37-46da-9387-595bbe2a162b |
|
|||
11.1. Quality assurance | |||
The applied methodology is harmonized with the relevant decisions endorsed in the meetings of the European Working Group on Structural Business Statistics (SBSWG) which take place under the coordination of Eurostat, as well as the recommendations of the Task Forces that are established for reviewing specific important issues related to Structural Business Statistics. ELSTAT’s policy for quality assurance is described at the following link: |
|||
11.2. Quality management - assessment | |||
Structural Business Statistics are compiled in accordance with the recommendations that are provided in the relevant European Regulations. The evaluation of the quality of the Structural Business Statistics is performed by ELSTAT and Eurostat on the basis of the quality report compiled for each reference year from ELSTAT and to which information on all the quality indicators are recorded (relevance, accuracy and reliability, timeliness and punctuality, coherence and comparability, accessibility and clarity). Structural Business Statistics are compiled with the use of tax and other data from administrative sources that cover the basic statistical variables. A survey on large enterprises of each economic activity class is supplementarly conducted, in order to collect data for the remaining statistical variables that cannot be calculated from the data coming from the administrative sources and to be used as the basis for the estimation of these statistical variables for the total population of enterprises. The use of administrative data for the compilation of Structural Business Statistics has brought a significant improvement in the quality of the produced data in terms of completeness and coverage of enterprises, as well as in terms of timeliness. The continuous cooperation of ELSTAT with the tax and other administrative authorities providing data to ELSTAT aims at having the biggest possible harmonization of statistical variables with tax and other administrative variables, as well as at adding questions in tax and administrative declaration forms that cover needs on statistical information and it, therefore, will lead to further improving the quality of Structural Business Statistics. Given that SBS data are compiled with the use of administrative tax data that cover all enterprises, their accuracy and coverage are evaluated as high. |
|
|||
12.1. Relevance - User Needs | |||
Data of Structural Business Statistics are provided to users for the satisfaction of their requests, in accordance with the Statistical Confidentiality Policy and the Dissemination Policy of ELSTAT. The main national users of Structural Business Statistics data are researchers, economic analysts, doctoral candidates, students and enterprises. At international level, data of Structural Business Statistics are used by Eurostat, the Organisation for Economic Cooperation and Development, etc. Structural Business Statistics data are also used in the compilation of the National Accounts of Greece and in particular in the compilation of the Gross Domestic Product, as well as in the compilation of Short Term Statistics during the works for the revision of the base year. |
|||
12.2. Relevance - User Satisfaction | |||
The degree of satisfaction of users is assessed by their comments and remarks expressed: a) at the annual Users’ Conferences organized by ELSTAT, b) at the meetings of the Advisory Committee of the Hellenic Statistical System (SYEPELSS), in which participate representatives of bodies using statistics and c) through the User Satisfaction Survey conducted by the competent Statistical Data Dissemination Section of ELSTAT: |
|||
12.3. Completeness | |||
Structural Business Statistics cover the total set of variables defined by the relevant Regulations of the European Union. |
|
|||
13.1. Accuracy - overall | |||
For the compilation of Structural Business Statistics administrative, tax data are used, as well as data that are collected in the framework of a small scaled survey conducted only to large enterprises (in terms of the turnover or employment), which dominate the economy of each activity class. The aim of the survey is to collect data for the total set of variables that are required by the Regulation (EC) No 295/2008 of the European Parliament and of the Council on Structural Business Statistics (recast), given that the administrative, tax data do not cover all the required statistical variables. The accuracy and reliability of Structural Business Statistics depends largely on the accuracy and completeness of the data that are provided from administrative, tax sources and are used for their compilation. In general, it is difficult to estimate the accuracy of administrative, tax data and it does not exist a quantitative indicator for its evaluation. The administrative, tax data that are used for the compilation of Structural Business Statistics are checked as regards their completeness and their correctness, mainly through their comparison with data from other available sources, as well as with data from the Statistical Business Register. In addition, the administrative, tax data are checked in terms of their relevance with the statistical variables, based on the definitions of these variables. In cases administrative, tax data are missing or they are not correct or their complete correction is not feasible, the imputation method is applied. For the compilation of the statistical variables that cannot be calculated from the administrative, tax data for the total population of enterprises, the data that are collected through the survey on large enterprises are used and appropriate estimation methods are applied, namely the proportion of a component variable method, predictive models, the simple ratio adjustment method. On the basis of the above, the accuracy of Structural Business Statistics is evaluated as very satisfactory. |
|||
13.2. Sampling error | |||
Sampling errors do not exist. |
|||
13.3. Non-sampling error | |||
13.3.1 Coverage errors
13.3.2 Measurement errors Structural Business Statistics are compiled with the use of administrative, tax data and data that are collected through the supplementary small scaled survey on the large enterprises of each activity class. The logical and accounting checks that are performed on the above data aim at the correction of false data that may exist in the tax and other administrative fields, as well as false data that are collected through the statistical surveys.
13.3.3 Processing errors The errors that occurred during the processing of the data are identified through logical, accounting and statistical checks and they are corrected.
13.3.4 Non-Response errors In case of non-response (concerns only the survey for the large enterprises) of an enterprise, the following actions were taken: 1. sending an informative letter to the enterprise and 2. contact by phone with the responsible accountant. |
|
|||
14.1. Timeliness | |||
The time-lag between the reference period of Structural Business Statistics data and their availability is 18 months. |
|||
14.2. Punctuality | |||
The results of Structural Business Statistics of the most recent reference year 2020 were compiled within the deadline, namely 18 months after the end of the reference year, as provided in the Regulation (EC) No 295/2008 of the European Parliament and of the Council on Structural Business Statistics (recast). |
|
|||
15.1. Comparability - geographical | |||
Structural Business Statistics are compiled in full compliance with the European Regulation (EC) No 295/2008 of the European Parliament and of the Council on Structural Business Statistics (recast), a fact that ensures the comparability of the data within regions of Greece and with the respective data of the other countries of the EU. |
|||
15.2. Comparability - over time | |||
The time series of Structural Business Statistics starts from the reference year 2000. In the reference year 2008 there is a discontinuity in the comparability over time of the time series due to the revision of the statistical classification of economic activities that is used (transition from the classification Nace Rev 1.1. to the classification Nace Rev. 2). In order to address the discontinuity in the time series due to the use of different statistical classifications, data on Structural Business Statistics for the year 2008 have been compiled with both the statistical classifications Nace Rev. 1.1 and Nace Rev. 2. In the reference year 2014 there is a discontinuity in the comparability over time of the time series due to the change in the compilation method of Structural Business Statistics with the transition from the sampling survey and the extrapolation of the results to the population of enterprises, to the introduction of the use of administrative, tax data. Due to the fact that ELSTAT was not granted with access to analytical administrative, tax data for the reference year 2013 and the previous years, this discontinuity in the time series of Structural Business Statistics is not possible to be addressed. The Greek SBS data for the reference year 2014 onwards, introduce a break in the timeseries. In the reference year 2018 there is a discontinuity in the comperability over time of the time series, due to the full implementation of the statistical unit "enterprise". |
|||
15.3. Coherence - cross domain | |||
Data relevant to those of Structural Business Statistics exist in the Statistical Business Register, in Business Demography Statistics, in Short Term Statistics, in Labour Cost Statistics, in Labour Force Statistics and in the Statistics on the Expenditures for the Protection of the Environment. Given the methodological differences that exist in these domains, inconsistencies in the results may be explained. Obvious inconsistencies between the results of Structural Business Statistics and the results of the above domains, that may occur, are examined.
15.3.1 Coherence – sub annual and annual statistics Structural Business Statistics data are compiled only on an annual basis.
15.3.2 Coherence – National Accounts Structural Business Statistics are used as a source for the compilation of National Accounts and in particular of the Gross Domestic Product (GDP) with all the three calculation methods (from the production side, from the expenditure side and from the income side). Due to methodological differences that exist between Structural Business Statistics and National Accounts, inconsistencies in the final results are expected. |
|||
15.4. Coherence - internal | |||
The internal coherence of data regards the relations between statistical variables and the coherence between different data series that are compiled for Structural Business Statistics. The internal coherence of Structural Business Statistics is checked through a dedicated software that has been developed by Eurostat and its application is a necessary condition for the validation of Structural Business Statistics. |
|
|||
The access of ELSTAT to data of administrative sources that are used for the compilation of Structural Business Statistics is free of charge. Also, using data from administrative sources to update Structural Business Statistics does not cause any burden on the surveyed legal units. The use, by ELSTAT, of automated logical and statistical checks for the processing of the above data results in saving time and resources for the compilation of Structural Business Statistics. The small scaled survey on the large enterprises of the different economic activity classes is mainly conducted by ELSTAT’s staff. External private collaborators who collect questionnaires work for a small share of the enterprises of the region. For the Structural Business Statistics of the year 2020, the cost of the survey which corresponds to the cost of private collaborators was 14,429.45€. |
|
|||
17.1. Data revision - policy | |||
The revision policy of ELSTAT is applied, which is available at the following link: |
|||
17.2. Data revision - practice | |||
There was no revision for the year 2020. |
|
|||
18.1. Source data | |||
The primary data that are used for the compilation of Structural Business Statistics are administrative data, data that are collected through statistical surveys conducted by ELSTAT on large enterprises and data from the Statistical Business Register of ELSTAT. The administrative data received by ELSTAT and used for the compilation of Structural Business Statistics are transmitted from the Independent Authority of Public Revenues (IAPR) and include: (a) financial data of freelancers, physical and legal persons that are obliged, by the law, to submit tax declarations on their income from economic activity, (b) data on the compensations of employees deriving from the Electronic Earnings Attestations that employers are obliged to submit for the employees they occupy. Through the survey on the large enterprises that is conducted by ELSTAT, analytical financial data on income and expenditure are collected as regards the economic activity of the enterprises. Data on the status of enterprises (active, inactive, etc), on the branch of their economic activity, on the residence of the enterprise, employment data (number of persons employed and number of employees) and data on the local units of enterprises are received from the Statistical Business Register. |
|||
18.2. Frequency of data collection | |||
Annual data collection |
|||
18.3. Data collection | |||
Data are transmitted to ELSTAT from IAPR, according to the Memorandum of Understanding signed in 2014, between ELSTAT, the ex General Secretariat for Public Revenues (GSPR-currently IAPR), the General Secretariat for Information Systems (GSIS) and the ex Social Security Institution (IKA-currently EFKA). The tax data that are transmitted to ELSTAT from the IAPR, as well as their transmission time are specified in the Annexes of the Agreement that was signed in June 2016 between ELSTAT and GSPR. The data of the surveyed large enterprises are collected through the completion of electronic or printed questionnaires. |
|||
18.4. Data validation | |||
Both the data that are received by IAPR and collected through the survey are subject to a set of computational checks, in order their completeness, accuracy and coherence to be verified. In addition, the consistency of the data is checked through the performance of automated accounting-mathematical checks. The derived inconsistencies are further examined and corrections take place at the level of the enterprise data, in cases the observed deviations cannot be justified. An analytical file recording all the corrections that are conducted, according to the above, is kept. |
|||
18.5. Data compilation | |||
Data from administrative sources When the administrative data are received from IAPR, a comparison of their total number of records is made with all the other relevant administrative data files that ELSTAT is receiving from IAPR for the updating requirements of the Statistical Business Register. A comparison with the corresponding file of the previous year is made as well. Moreover, the cases of enterprises that are recorded more than once in the file with the administrative data are checked. This is possible to occur when supplementary or modifying tax declarations are submitted by enterprises to IAPR. After that, accounting-mathematical checks are conducted, concerning the following basic categories:
The work of the correction of administrative data with the use of mathematical – accounting checks is divided into manual (at the enterprise level), automated and other corrections. After the phase of processing and correction of the administrative data (E3 form), the calculation of the statistical variables follows. The calculation of the statistical variables is conducted with the use of a correspondence table between the E3 tax form fields and the statistical variables, which has been compiled by ELSTAT. Exceptions from this process are the statistical variables “number of persons employed” and “number of employees” which are directly received by the Statistical Business Register, as well as the variable “wages and salaries” that is calculated from the administrative datafile Electronic Earnings Attestation.
When the calculation of the statistical variables is completed, coherence and comparability checks are conducted and the processing of the data at the level of statistical variables initiates.
In particular, the following individual processing – checking tasks are performed:
Moreover, for the administrating companies of the maritime sector, a special treatment takes place, as regards the estimation of the statistical variables for the established offices/branches of non-resident enterprises as provided in article 25 of L. 27/1975. The relative activity codes of Nace Rev. 2 classification are: 5020, 5222, 5229. These administrating companies are branches of non-resident enterprises and, in their majority, they declare only the personnel cost and the expenses they make for purchasing goods and services (the expenses of the office for the administration of the vessels), without submitting financial data on turnover either through the Structural Business Statistics survey or through the tax forms (E3, F2, etc).
Data collected through the survey on large enterprises The data that are collected on large enterprises are coded and checked in terms of their completeness, validity and correctness in relation to the documents that these enterprises have also submitted (balance sheets, financial statements, tax forms, etc). After that, the data are entered in databases and they are subject to computational checks, logical checks and completeness checks. Then, the calculation of the variables follows.
Estimation of statistical variables that cannot be calculated from the administrative data For the large enterprises, for which data are collected through the survey, the collected data are used. For the rest of the enterprises of the active enterprises population, which are classified in the activity branches that are covered by the Structural Business Statistics, the following techniques – methods are applied: - Proportion of a component variable - Predictive models - Simple Ratio adjustment method
Synthesis of results After the processing phases described previously have been completed, as well as after the completion of the survey on the large enterprises, the synthesis of Structural Business Statistics is conducted. The SBS results for 2020 are compiled with the full implementation of the statistical unit enterprise. In particular, the SBS results of 2020 were initially compiled with the implementation of the statistical unit “legal unit”. Then by eliminating from the results the intra-flows data (collected through a dedicated special survey) between the legal units of the same enterprises, the SBS results for 2020 were calculated with the implementation of the statistical unit “enterprise”.
18.5.1 Imputation – rate The final results of Structural Business Statistics include data (at the level of enterprise) that do not come from a primary source (survey on large enterprises of administrative files), but they have been estimated through the application of statistical methods. In particular, the data of enterprises that, (a) either are not available from the E3 tax form, (b) either are available from the E3 tax form, but they are not considered to be correctly completed and at the same time they have a big impact on the activity class in which they are classified, or (c) they have been corrected at the level of the statistical variables, they are replaced by the data of other enterprises that have similar characteristics (activity class, size class as regards the turnover or the employment) and that have submitted the E3 tax form without any accounting-mathematical errors to be detected. This process is conducted on the basis of a specific statistical methodology. As regards the magnitude of the impact that the imputation process has, it is noted that for the year 2020, the data for which this process was applied concerned 7,087 enterprises with a turnover of 2.8 billion euros and 28,330 persons employed. The respective figures for the results of the year 2019 were: 6,376 enterprises, 3.2 billion euros turnover, and 31,345 persons employed. |
|||
18.6. Adjustment | |||
Not applicable |
|
|||
No further comments. |
|
|||
|
|||