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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 Finland |
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1.2. Contact organisation unit | Economic statistics
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1.5. Contact mail address | Työpajankatu 13, 00550 Helsinki
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2.1. Metadata last certified | 26/04/2024 | ||
2.2. Metadata last posted | 26/04/2024 | ||
2.3. Metadata last update | 26/04/2024 |
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3.1. Data description | |||
Data on the Information and Communication Technologies (ICT) usage and e-commerce in enterprises are survey data. They are collected by the National Statistical Institutes or Ministries and are in principle based on Eurostat's annual model questionnaires on ICT usage and e-commerce in enterprises. Large part of the data collected is used to measure the progress in the implementation of one of the main political priorities of the European Commission for 2019 to 2024 – A Europe fit for the digital age. Part of this is the "European strategy for data", envisioning a single market for data to ensure the EU's global competitiveness and data sovereignty, in which context a comprehensive set of new rules for all digital services was proposed: the Digital Services Act and the Digital Markets Act, which are centrepieces of the EU digital strategy. Furthermore, the Commission and the High Representative of the Union for Foreign Affairs and Security Policy presented a new “EU cybersecurity strategy”, which is intended to bolster the EU's collective resilience against cyber threats, safeguard a global and open internet and protect EU values and the fundamental rights of its people. Furthermore, data will allow monitoring the progress towards A Europe fit for the digital age, one of the six priorities for the period 2019-2024 of the von der Leyen European Commission. The aim of the European survey on ICT usage and e-commerce in enterprises is to collect and disseminate harmonised and comparable information at European level.
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3.2. Classification system | |||
3.3. Coverage - sector | |||
All economic activities in the scope of Annex I of the Commission Regulation are intended to be included in the general survey, covering enterprises with 10 or more employees and self-employed persons. These activities are: NACE Rev. 2 sections C, D, E, F, G, H, I, J, L, M and N, division 95.1. For micro-enterprises see the sub-concepts below. |
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3.3.1. Coverage-sector economic activity for micro-enterprises - All NACE Rev. 2 categories are covered | |||
3.3.2. Coverage sector economic activity for micro-enterprises - If not all activities were covered, which ones were covered? | |||
Micro-enterprises are not covered in the survey. |
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3.4. Statistical concepts and definitions | |||
The model questionnaire on ICT usage and e-commerce in enterprises provides a large variety of variables covering among others the following areas: - Access to and use of the Internet - E-commerce and e-business - Use of cloud computing services - Artificial Intelligence - Other topics: Data utilisation, sharing, analytics and trading, Invoicing. The annual model questionnaires and the European businesses statistics compliers’ manual for ICT usage and e-commerce in enterprises comprise definitions and explanations regarding the topics of the survey. |
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3.5. Statistical unit | |||
Enterprise |
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3.6. Statistical population | |||
Target Population As required by Annex of the Commission Implementing Regulation, enterprises with 10 or more employees and self-employed persons shall be covered by the survey. For micro-enterprises see the sub-concepts below. |
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3.6.1. Coverage of micro-enterprises | |||
No | |||
3.6.2. Breakdown between size classes [0 to 1] and [2 to 9] | |||
No | |||
3.6.3. If for micro-enterprises different size delimitation was used, please indicate it. | |||
Not applicable
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3.7. Reference area | |||
Whole country
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3.8. Coverage - Time | |||
Year 2022 for some variables and 2023 for most variables. |
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3.9. Base period | |||
Not applicable |
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Percentages of enterprises, Percentages of turnover, Percentages of employees and self-employed persons, Million Euro. |
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Mostly time of survey in spring 2023, but some variables e.g. in e-commerce are from 2022
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6.1. Institutional Mandate - legal acts and other agreements | |||
Complementary national legislation constituting the legal basis for the survey on the use of ICT in enterprises: Tilastolaki (280/2004, muut. 361/2013)
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6.2. Institutional Mandate - data sharing | |||
Not available
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7.1. Confidentiality - policy | |||
Regulation (EC) No 223/2009 on European statistics (recital 24 and Article 20(4)) of 11 March 2009 (OJ L 87, p. 164), stipulates the need to establish common principles and guidelines ensuring the confidentiality of data used for the production of European statistics and the access to those confidential data with due account for technical developments and the requirements of users in a democratic society. At national level : The data protection of data collected for statistical purposes is guaranteed in accordance with the requirements of the Statistics Act (280/2004), the Act on the Openness of Government Activities (621/1999), the EU's General Data Protection Regulation (EU) 2016/679 and the Data Protection Act (1050/2018). The data materials are protected at all stages of processing with the necessary physical and technical solutions. Statistics Finland has compiled detailed directions and instructions for confidential processing of the data. Employees have access only to the data essential for their duties. The premises where unit-level data are processed are not accessible to outsiders. Members of the personnel have signed a pledge of secrecy upon entering the service. Violation of data protection is punishable. |
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7.2. Confidentiality - data treatment | |||
Data are transmitted via eDamis (encrypted) and delivered to a secure environment where they are treated. Flags are added for confidentiality in case results must not be disclosed. At national level : The data are published only at a level so aggregated that the disclosure of the data of an individual data supplier is not possible. A majority of the statistics data are based on binary yes/no answers, in which linking the observations to individual data suppliers is not possible. The value of online shopping is published only at a highly aggregated level. The data in the statistics on the use of information technology in enterprises are made available for research purposes through Statistics Finland’s research services. The data do not include identifiers. The use of the data for scientific research and statistical surveys is possible only on the basis of a separate application for licence to use statistical data and in unidentifiable form. In tabulations delivered to Eurostat, sensitive cells are marked as protected, due to which Eurostat does not publish the data in question. However, the data can be used in calculating summary data at the EU level. |
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8.1. Release calendar | |||
Releae callendar is published in Statistics Finland website |
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8.2. Release calendar access | |||
https://stat.fi/tulevat-julkaisut Annexes: Release calendar |
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8.3. Release policy - user access | |||
Not available
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Annual |
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10.1. Dissemination format - News release | |||
https://stat.fi/tilasto/icte Annexes: Use of information technology in enterprises |
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10.2. Dissemination format - Publications | |||
https://stat.fi/tilasto/icte Annexes: Use of information technology in enterprises |
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10.3. Dissemination format - online database | |||
See detailed section 10.3.1. |
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10.3.1. Data tables - consultations | |||
Results for selected variables collected in the framework of this survey are available for all participating countries on Digital economy and society of Eurostat website. At national level : https://stat.fi/tilasto/icte Annexes: Use of information technology in enterprises |
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10.4. Dissemination format - microdata access | |||
Not applicable
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10.5. Dissemination format - other | |||
Not requested |
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10.5.1. Metadata - consultations | |||
Not requested |
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10.6. Documentation on methodology | |||
https://stat.fi/en/statistics/documentation/icte
Annexes: Use of information technology in enterprises: documentation of statistics |
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10.6.1. Metadata completeness - rate | |||
Not requested |
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10.7. Quality management - documentation | |||
https://stat.fi/org/tilastotoimi/statistical-principles-and-quality_en.html Annexes: Statistical principles and quality |
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11.1. Quality assurance | |||
The European businesses statistics compliers’ manual for ICT usage and e-commerce in enterprises provides guidelines and standards for the implementation of the surveys. It is updated every year according to the changed contents of the model questionnaires. At national level : Quality management requires comprehensive guidance of activities. The quality management framework of the field of statistics is the European Statistics Code of Practice (CoP). The quality criteria of Official Statistics of Finland are compatible with the European Statistics Code of Practice. |
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11.2. Quality management - assessment | |||
European level : At European level, the recommended use of the annual Eurostat model questionnaire aims at improving comparability of the results among the countries that conduct the survey on ICT usage and e-commerce in enterprises. Moreover, the Methodological Manual provides guidelines and clarifications for the implementation of the surveys. National level : The quality of the statistics is assessed at several different stages of the statistical process. The coherence of the unit data of the statistics is reviewed against the previous year’s data during the data collection phase. Macro-level reviews focus on possible errors in the production process. |
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12.1. Relevance - User Needs | |||
European level : At European level, European Commission users (e.g. DG CNECT, DG GROW, DG JUST, DG REGIO, DG JRC) are the principal users of the data on ICT usage and e-commerce in enterprises and contribute in identifying/defining the topics to be covered. Hence, main users are consulted regularly (at hearings, task forces, ad hoc meetings) for their needs and are involved in the process of the development of the model questionnaires at a very early stage. User needs are considered throughout the whole discussion process of the model questionnaires aiming at providing relevant statistical data for monitoring and benchmarking of European policies. National level : Substance area is being followed to identify emerging needs. Contacts with users are used to identify specific needs. |
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12.2. Relevance - User Satisfaction | |||
European level : At European level, contacts within the Commission, the OECD and other stakeholders give a clear picture about the key users' satisfaction as to the following data quality aspects: accuracy and reliability of results, timeliness, satisfactory accessibility, clarity and comparability over time and between countries, completeness and relevance. Overall users have evaluated positively (good, very good) the data quality on the ICT usage and e-commerce in enterprises. National level : Not available |
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12.3. Completeness | |||
Detailed information is available in “ Annex I _ Completeness “ excel file - related to questionnaire, coverage, additional questions. |
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12.3.1. Data completeness - rate | |||
Not requested. |
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13.1. Accuracy - overall | ||||||||||||||||||||||||||||||||||||||||||||||||||
Comments on reliability and representativeness of results and completeness of dataset These comments reflect overall standard errors reported for the indicators and breakdowns in section 13.2.1 (Sampling error - indicators) and the rest of the breakdowns for national and European aggregates, as well as other accuracy measurements. The estimated standard error should not exceed 2pp for the overall proportions and should not exceed 5pp for the proportions related to the different subgroups of the population (for those NACE aggregates for the calculation and dissemination of national aggregates). If problems were found, these could have implications for future surveys (e.g. need to improve sampling design, to increase sample sizes, to increase the response rates). More detailed information is available in “ Annex II. _ Accuracy “ excel file - related to European aggregates, comments on reliability and use of flag. |
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13.2. Sampling error | ||||||||||||||||||||||||||||||||||||||||||||||||||
For calculation of the standard error see 13.2.1.1. |
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13.2.1. Sampling error - indicators | ||||||||||||||||||||||||||||||||||||||||||||||||||
Standard error (for selected indicators and breakdowns) Precision measures related to variability due to sampling, unit non-response (the size of the subset of respondents is smaller than the size of the original sample) and other (imputation for item non-response, calibration etc.) are not (yet) required from the Member states for all indicators. Eurostat will make basic assumptions to compute these measures for all indicators produced (e.g. stratified random sampling assuming as strata the crossing of the variables “Number of employees and self-employed persons” and “Economic Activity” as it was defined in the 3 tables of section 18.1). More detailed information is available in“ Sample and standard error tables 2023 “ excel file – worksheets starting with “Standard error". |
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13.2.1.1. Sampling error indicator calculation | ||||||||||||||||||||||||||||||||||||||||||||||||||
Calculation of the standard error Various methods can be used for the calculation of the standard error for an estimated proportion. The aim is to incorporate into the standard error the sampling variability but also variability due to unit non-response, item non-response (imputation), calibration etc. In case of census / take-all strata, the aim is to calculate the standard errors comprising the variability due to unit non-response and item non-response.
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13.3. Non-sampling error | ||||||||||||||||||||||||||||||||||||||||||||||||||
See detailed sections below. |
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13.3.1. Coverage error | ||||||||||||||||||||||||||||||||||||||||||||||||||
See concept 18.1.1. A) Description of frame population. |
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13.3.1.1. Over-coverage - rate | ||||||||||||||||||||||||||||||||||||||||||||||||||
3.5% |
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13.3.1.2. Common units - proportion | ||||||||||||||||||||||||||||||||||||||||||||||||||
Not requested |
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13.3.2. Measurement error | ||||||||||||||||||||||||||||||||||||||||||||||||||
No measurement errors detected. |
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13.3.3. Non response error | ||||||||||||||||||||||||||||||||||||||||||||||||||
See detailed sections below. |
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13.3.3.1. Unit non-response - rate | ||||||||||||||||||||||||||||||||||||||||||||||||||
See detailed sub-concepts below. |
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13.3.3.1.1. Unit response | ||||||||||||||||||||||||||||||||||||||||||||||||||
The following table contains the number of units (i.e. enterprises), by type of response to the survey and by the percentage of these values in relation to the gross sample size.
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13.3.3.1.2. Methods used for minimizing unit non-response | ||||||||||||||||||||||||||||||||||||||||||||||||||
Contact letters, reminders and direct e-mail or phone contacts. Questionnaire design. |
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13.3.3.1.3. Methods used for unit non-response treatment | ||||||||||||||||||||||||||||||||||||||||||||||||||
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13.3.3.1.4. Assessment of unit non-response bias | ||||||||||||||||||||||||||||||||||||||||||||||||||
Not available |
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13.3.3.2. Item non-response - rate | ||||||||||||||||||||||||||||||||||||||||||||||||||
Not available |
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13.3.3.2.1. Methods used for item non-response treatment | ||||||||||||||||||||||||||||||||||||||||||||||||||
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13.3.3.2.2. Questions or items with item response rates below 90% and other comments | ||||||||||||||||||||||||||||||||||||||||||||||||||
Other comments relating to the item non-response
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13.3.4. Processing error | ||||||||||||||||||||||||||||||||||||||||||||||||||
No processing errors were detected |
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13.3.5. Model assumption error | ||||||||||||||||||||||||||||||||||||||||||||||||||
Not requested |
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14.1. Timeliness | |||
See detailed section below. |
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14.1.1. Time lag - first result | |||
Not applicable |
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14.1.2. Time lag - final result | |||
European level : Data are to be delivered to Eurostat in the fourth quarter of the reference year (due date for the finalised dataset is 5th October). European results are released before the end of the survey year or in the beginning of the year following the survey year (T=reference year, T+0 for indicators referring to the current year, T+12 months for other indicators referring to the previous year e.g. e-commerce). At national level : National results are released before the end of the survey year or in the beginning of the year following the survey year (T=reference year, T+0 for indicators referring to the current year, T+12 months for other indicators referring to the previous year e.g. e-commerce). |
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14.2. Punctuality | |||
See detailed section below. |
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14.2.1. Punctuality - delivery and publication | |||
Restricted from publication |
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15.1. Comparability - geographical | |||
The model questionnaire is generally used by the countries that conduct the survey on ICT usage and e-commerce in enterprises. Due to (small) differences in translation, in the used survey vehicle, in non-response treatment or different routing through the questionnaire, some results for some countries may be of reduced comparability. In these cases, notes are added in the data. Detailed information on differences in the wording of the questions in the national questionnaires is available in “ Annex I _ Completeness “ excel file - related to questionnaire, coverage, additional questions. |
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15.1.1. Asymmetry for mirror flow statistics - coefficient | |||
Not applicable |
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15.2. Comparability - over time | |||
See section below. |
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15.2.1. Length of comparable time series | |||
The length of comparable time series depends on the module and the variable considered within each survey module. Additional information is available in annexes attached to the European metadata. |
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15.3. Coherence - cross domain | |||
Not applicable |
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15.3.1. Coherence - sub annual and annual statistics | |||
Not applicable |
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15.3.2. Coherence - National Accounts | |||
Not applicable |
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15.4. Coherence - internal | |||
Not applicable |
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Restricted from publication |
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17.1. Data revision - policy | |||
Revisions – i.e. improvements in the accuracy of statistical data already published – are a normal feature of statistical production and result in improved quality of statistics. The principle is that statistical data are based on the best available data and information concerning the statistical phenomenon. On the other hand, the revisions are communicated as transparently as possible in advance. Advance communication ensures that the users can prepare for the data revisions. The reason why data in statistical releases become revised is often caused by the data becoming supplemented. Then the new, revised statistical figure is based on a wider information basis and describes the phenomenon more accurately than before. Revisions of statistical data may also be caused by the calculation method used, such as annual benchmarking or updating of weight structures. Changes of base years and used classifications may also cause revisions to data. |
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17.2. Data revision - practice | |||
No revisions expected in statistics on ICT use in enterprises |
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17.2.1. Data revision - average size | |||
Not requested |
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18.1. Source data | ||||||||||
A) Frame population description and distribution For more information see concept 18.1.1.
B) Sampling design - Sampling method Description of the sampling method used (e.g. stratified random sample, quota sampling, cluster sampling; one-stage or two-stage sampling) and information which variables were used to stratify, the categories of those variables, in particular for the NACE Rev. 2 categories related to the "possible calculation of European aggregates", and the final number of strata: Stratified random sample by size and NACE C) Gross sample distribution More detailed information is available in “ Sample and standard error tables 2023 “ excel file (Worksheet: GROSS SAMPLE)
D) Net sample distribution More detailed information is available in “ Sample and standard error tables 2023 “ excel file (Worksheet: NET SAMPLE) |
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18.1.1. Population frame | ||||||||||
A) Description of frame population
B) Frame population distribution More detailed information is available in “ Sample and standard error tables 2023 “ excel file (Worksheet: FRAME POPULATION) |
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18.2. Frequency of data collection | ||||||||||
Annual |
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18.3. Data collection | ||||||||||
See detailed sections below. |
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18.3.1. Survey period | ||||||||||
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18.3.2. Survey vehicle – general survey | ||||||||||
General survey - Stand-alone survey | ||||||||||
18.3.3. Survey vehicle – micro-enterprises | ||||||||||
The collection of micro-enterprises was integrated with the general survey | ||||||||||
18.3.4. Survey type | ||||||||||
Web survey
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18.3.5. Survey participation | ||||||||||
Mandatory | ||||||||||
18.4. Data validation | ||||||||||
Data has been validated by server based EDIT validation |
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18.5. Data compilation | ||||||||||
Grossing-up procedures The responses received were inflated to correspond to all enterprises in all examined activities or to all enterprises in certain size category. The weight coefficient used in analyses on enterprise numbers was the ratio of the frame to the numbers of responding enterprises by strata. In analyses on employee numbers the weight coefficient used was the ratio of total number of employees to the number of employees of responding enterprises by strata. In monetary analyses the weight coefficient used was the ratio of total turnover to the turnover of responding enterprises by strata. Some enterprises regarded as extreme values for the size of e-commerce were forced to weight coefficient 1. |
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18.5.1. Imputation - rate | ||||||||||
Not available |
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18.6. Adjustment | ||||||||||
Not applicable |
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18.6.1. Seasonal adjustment | ||||||||||
Not applicable |
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Problems encountered and lessons to be learnt: Data 2023 for Finland is for the first time basd on enterprise unit. The change may have a minor effect on some results concerning the prevalence of the use of information technology. |
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19.1. Documents | ||||||||||
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Questionnaire (print from web survey) Annex I Annex II Annex III |