ICT usage in enterprises (isoc_e)

National Reference Metadata in SIMS structure for INFOSOC Enterprises

Compiling agency: National Statistics Office


Eurostat metadata
Reference metadata
1. Contact
2. Metadata update
3. Statistical presentation
4. Unit of measure
5. Reference Period
6. Institutional Mandate
7. Confidentiality
8. Release policy
9. Frequency of dissemination
10. Accessibility and clarity
11. Quality management
12. Relevance
13. Accuracy
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment
Related Metadata
Annexes (including footnotes)



For any question on data and metadata, please contact: Eurostat user support

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1. Contact Top
1.1. Contact organisation

National Statistics Office

1.2. Contact organisation unit

Labour Market and Information Society Statistics Unit

1.5. Contact mail address

National Statistics Office

Lascaris

Valletta

VLT 2000


2. Metadata update Top
2.1. Metadata last certified 28/02/2024
2.2. Metadata last posted 28/02/2024
2.3. Metadata last update 28/02/2024


3. Statistical presentation Top
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.

 

Name of data collection
ICT Usage and e-Commerce in Enterprises 2023
3.2. Classification system

 NACE Rev.2 2008

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.

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?

Microenterprises (1 to 9) are not surveyed

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.

3.5. Statistical unit

The Enterprise concept was used in this survey. This is defined as: ‘The enterprise is the smallest combination of legal units, that is an organisational unit producing goods or services, which benefits from a certain degree of autonomy in decision-making, especially for the allocation of its current resources. An enterprise carries out one or more activities at one or more locations. An enterprise may be a sole legal unit.’

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.

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.

Microenterprises (1 to 9) are not surveyed

3.7. Reference area

The survey had total geographical coverage of the Maltese Islands (NUTS 2 level)

3.8. Coverage - Time

Years 2022 and 2023.

3.9. Base period

Not applicable


4. Unit of measure Top

Percentages of enterprises, Percentages of turnover, Percentages of employees and self-employed persons, Million euro.


5. Reference Period Top

The reference period corresponds to that in the model questionnaire


6. Institutional Mandate Top

The National Statistics Office uses the Malta Statistics Authority Act as a legal foundation for its data collection exercise. This is a legally binding document empowering the National Statistics Office to collected the required data from individuals and enterprises alike.

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:

https://msa.gov.mt/wp-content/uploads/2023/04/Malta_Statistics_Authority_Act.pdf

6.2. Institutional Mandate - data sharing

https://nso.gov.mt/en/Services/Microdata/Pages/Access-to-Microdata.aspx

https://nso.gov.mt/commitment-on-confidence/


7. Confidentiality Top
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 : 

Confidentiality is one of the major principles guiding the activities of the NSO.

Article 40 of the MSA Act stipulates the restrictions on the use of information and in Article 41, the prohibition of disclosure of information. Furthermore, Section IX of the Act (Offences and Penalties) lays down the measures to be taken in case of unlawful exercise of any officer of statistics regarding confidentiality of data. No cases of breaches in the law have been recorded to date.

Since its inception, the NSO has always operated within a culture of strict confidentiality to which it is also bound by the provisions of the Data Protection Act. This Act, which came fully into effect on July 15, 2003, seeks to protect individuals against the violation of their privacy by the processing of personal data.

Further information on access to microdata is available on the NSO's website through: https://nso.gov.mt/en/Services/Microdata/Pages/Access-to-Microdata.aspx

During 2009, the NSO has set up a Statistical Disclosure Committee to ensure that statistical confidentiality is observed, especially when requests for microdata are received by the NSO.

Upon employment, NSO employees are informed of the rules and duties pertaining to confidential information and its treatment. According to the MSA Act, before commencing work, every employee is required to take an oath of secrecy whose text is included in the Act.

At European level: 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.

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 : 

Microdata is not made available outside NSO, even in anonymised form.  In addition, strata based on less than 3 readings are not published.


8. Release policy Top

An annual news release is published usually in quarter one following the end of the reference year: thus this year's news release is scheduled to be issued circa January 2024.

8.1. Release calendar

A news release for the ICT in Enterprises Survey is usually published as scheduled by the official NSO release calendar, which is publicly available on https://nso.gov.mt/calendars/

8.2. Release calendar access

https://nso.gov.mt/calendars/

8.3. Release policy - user access

The NSO publishes around 230 News Releases a year. All releases are published and disseminated at 1100 hrs as scheduled in the Advance Release Calendar. The calendar is published on the NSO website and includes a three-month advance notice (the current month and the forthcoming two months). It should be noted that the calendar is subject to changes.

News releases are scheduled in such a way so as to have only one release per working day. In exceptional cases, more than one release my be published on one particular day.​


9. Frequency of dissemination Top

Annual


10. Accessibility and clarity Top
10.1. Dissemination format - News release

Nationally, the News Release for the 2023 survey will be published in January 2024.

https://nso.gov.mt/ict-usage-and-e-commerce-in-enterprises-2023/

10.2. Dissemination format - Publications

No Publications for the ICT in enterprises survey are foreseen.

10.3. Dissemination format - online database

See detailed section 10.3.1.

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 :

No databases are available at national level, but selective variables (including yearly ad-hoc and main indicators) are published in the news release mentioned in point 10.1

10.4. Dissemination format - microdata access

Not applicable

10.5. Dissemination format - other

Not requested

10.5.1. Metadata - consultations

Not requested

10.6. Documentation on methodology

National Metadata files are currently being published on : https://nso.gov.mt/themes_sources___met/ict-usage-by-enterprises

10.6.1. Metadata completeness - rate

Not requested

10.7. Quality management - documentation

None


11. Quality management Top
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 :

All key variables are checked with their respective timeseries in order to assure consistency over time. Other variables, such as turnover are compared with other internal sources.  One is to point out that enterprises are being asked to provide information on turnover well before the figure for this variable is finalised.  As a result, this information may be of inferior quality.

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 :

All enterprises fulfilling the defined NACE and size criteria are selected. This population is extracted from the Business Register which is held and maintained by NSO. Sources used to back the Business Register include the Job Vacancies Survey and the Short Term Business Statistics.


12. Relevance Top
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 :

The main users of the data on ICT usage and e-commerce in enterprises are:

1) International organizations (such as UNESCO, OECD and EU)

2) Public Entities (such as ministries, authorities)

3) Private entities (research organizations, unions, businesses)

4) Individuals

ICT Enterprises statistics are mainly used for Policy making, market research, dissertations and business making.

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 :

A user satisfaction survey was carried out by the NSO to measure the degree with which obligations towards its users are met.  The survey was last held in 2014, and results for the total statistical output for the Education and Information Society Statistics Unit, not specifically for ICT statistics, were as follows:

News Releases:

  • Quality – 62.9 % high/good
  • Timeliness – 77 % timely
  • Usefulness – 80.3 % useful

Requested data:

  • Quality – 54.8 % high/good
  • Frequency – 5.4 % regular
  • Timeliness –73.1 % timely

A dedicated news release outlines main results from this survey, and can be accessed through: 

https://nso.gov.mt/wp-content/uploads/News2014_089.pdf

12.3. Completeness

Detailed information is available in “ Annex I _ Completeness “ excel file - related to questionnaire, coverage, additional questions.

12.3.1. Data completeness - rate

Not requested. 


13. Accuracy Top
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.

13.2. Sampling error

For calculation of the standard error see 13.2.1.1.

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".

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.

a) Name and brief description of the applied estimation approach
  The standard error is calculated assuming simple random sampling within strata. Mathematical equations were used for the computation of standard error for linear estimates.

 

b) Basic formula
 

BREAKDOWN flagging of Nominal Variables (i.e. with ‘ENT’ unit)

-          All breakdowns with population or net sample of 3 counts or less are flagged as ‘c’.

-          The following confidentiality criteria were also applied by our Methodo0logy and Research unit using the TAUARGUS software.

  • Manual safety range: 30%
  • Minimum frequency count: 3
  • Dominance rule: n=2, k=80% meaning that 2 companies make up 80% or more of the sector.

-          All breakdowns with population of 20 counts or less not achieving full response within strata are marked as ‘u’ all throughout the data set.

-          Other breakdowns that have a margin of error exceeding 30% where marked as ‘u’ based on 95% confidence interval and the equation below.   

A proportion of 0.5 is being assumed in this equation.  This equation also assumes simple random sampling within the strata. 

BREAKDOWN flagging of Scale Variables (i.e. with ‘Mio EUR’ or ‘EMP’ unit)

-          Break downs and variables (having ‘Mio EUR’ or ‘EMP’ units) with margin of error exceeding 30% where marked as ‘u’ all throughout the data set.  

-          Margin of error was based on 95% confidence interval using the equation below.

 

All of the breakdowns notated with a ‘c’ or ‘u’  are masked as  ‘no’ point 5.1.a in the quality report.

KEY

N = Population

n= sample

s= sample standard deviation

SE= Standard Error

ME= Margin of Error

u= underrepresented

c= confidential

 

 

For VARIABLE’S means and totals, the following equation was used:

In order to estimate errors the total sampling variance for the proportion was computed using:

 

  

Where:

N =population

Nk = Strata Size.

nk = Sample within strata.

P=  Estimated Proportion of strata.

q= 1-pk

Standard error was set at 95% confidence level.

 

In the case of ratios, the bootstrap method was utilised with size classes for enterprise as sample parameters.

 

c) Main reference in the literature
 None.

 

d) How has the stratification been taken into account? 
 Refer to point  13.2.1.1.b

 

e) Which strata have been considered? 
 Strata used for post stratification weighting
13.3. Non-sampling error

See detailed sections below.

13.3.1. Coverage error

See concept 18.1.1. A) Description of  frame population.

13.3.1.1. Over-coverage - rate

A census of enterprises was carried out.

13.3.1.2. Common units - proportion

Not requested

13.3.2. Measurement error

A census of enterprises was carried out.

13.3.3. Non response error

See detailed sections below.

13.3.3.1. Unit non-response - rate

See detailed sub-concepts below.

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.

 

Type of response Enterprises
0-9 employees and self-employed persons 10 or more employees and self-employed persons
Number % Number %
Gross sample size (as in section 3.1 C)   100%

 2734

100%
1. Response (questionnaires returned by the enterprise)      2031 74.3 
1.1 Used for tabulation and grossing up (Net sample or Final Sample; as in section 3.1 D)     2031   74.3
1.2 Not used for tabulation      0  0
1.2.1 Out of scope (deaths, misclassified originally in the target population, etc.)      0  0
1.2.2 Other reasons (e.g. unusable questionnaire)      0  0
2. Non-response (e.g. non returned mail, returned mail by post office)     703  25.7 

 

Comments on unit response, if unit response is below 60%
 Not applicable
13.3.3.1.2. Methods used for minimizing unit non-response

Participating in this survey is made compulsory under Maltese Law, MSA ACT (XXIV) of 2004. We allowed the enterprises to submit their completed questionnaire via email, or through a provided postage paid self addressed envelope. Around 30% of enterprises opted for these options. The remaining where allocated to interviewers to personally contacted their enterprises and assisted them in filing in the survey. Those refusing any of the options provided where consequently chased legally by our lawyers under the terms of the said act. 

13.3.3.1.3. Methods used for unit non-response treatment
1. No treatment for unit non-response  
2. Treatment by re-weighting
2.1 Re-weighting by the sampling design strata considering that non-response is ignorable inside each stratum (the naïve model)  
2.2 Re-weighting by identified response homogeneity groups (created using sample-level information)  
2.3 Re-weighting through calibration/post-stratification (performed using population information) by the groups used for calibration/post-stratification  X
3. Treatment by imputation (done distinctly for each variable/item)  X
4. Method(s) and the model(s) corresponding to the above or other method(s) used for the treatment of unit non-response. (e.g. Re-weighting using Horvitz-Thompson estimator, ratio estimator or regression estimator, auxiliary variables )
Treatment by imputation was only used for low count strata. Where possible Information was linked with last years’ information and online searched. Eg. searching online if they had a website was simple.  Nevertheless other information difficult to source was treated as item non response.  

For the others, responses were inputted into a matrix depending on their Nace category and size class. This made it possible to pin point poor response in particular categories and take remedial action. Furthermore this approach ensured that null strata that cannot support any kind of weighting structure are eliminated.

Even though a census was conducted there was still an element of non-response which was tackled through post stratification weighting, based on strata created by eligible size classes and NACE Rev 2 groups. (10-18, 19-23, 24-25, 26-33, 35-39, 41-43, 45-47, 49-53, 55, 56, 58-63, 68, 69-74)

13.3.3.1.4. Assessment of unit non-response bias

None

13.3.3.2. Item non-response - rate

The item non-response rate is negligable, as interviewers chase enterprises to obtain a complete response.

13.3.3.2.1. Methods used for item non-response treatment
1. No treatment for item non-response  
2. Deductive imputation
An exact value can be derived as a known function of other characteristics.
 
3. Deterministic imputation (e.g. mean/median, mean/median by class, ratio-based, regression-based, single donor nearest-neighbour)
Deterministic imputation leads to estimators with no random component, that is, if the imputation were to be re-conducted, the outcome would be the same
 
4. Random imputation (e.g. hot-deck, cold-deck)
Random imputation leads to estimators with a random component, that is, if the imputation were re-conducted, it would have led to a different result
 X
5. Re-weighting  
6. Multiple imputation
In multiple imputation each missing value is replaced (instead of a single value) with a set of plausible values that represent the uncertainty of the right value to impute. Multiple imputation methods offer the possibility of deriving variance estimators by taking imputation into account. The incorporation of imputation into the variance can be easily derived based on variability of estimates among the multiply imputed data sets.
 
7. Method(s) and the model(s) corresponding to the above or other method(s) used for the treatment of item non-response.
 Every questionnaire was checked thoroughly and missing information was immediately queried with the enterprise (over the phone). In cases where this could not be achieved, imputations were carried out using a mathematical model within strata.

In the case of X2 (employments) and X3 (turnover), missing values were imputed using alternative data sources, mainly the Short term Business Statistics questionnaire.

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

Additional issues concerning "non-response" calculation (e.g. method used in national publications).
 None

 

Questions and items with low response rates (cut-off value is 90% ) and item non-response rate.
 None
13.3.4. Processing error

No processing errors were detected.

13.3.5. Model assumption error

Not requested


14. Timeliness and punctuality Top
14.1. Timeliness

See detailed section below.

14.1.1. Time lag - first result

Not applicable

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 : 

Data is finalized and submitted to Eurostat by the 5th October.
National results are released in the beginning of the year following the survey year

14.2. Punctuality

 See detailed section below.

14.2.1. Punctuality - delivery and publication

Data was submitted and validated on 29/9/2023.


15. Coherence and comparability Top
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.

15.1.1. Asymmetry for mirror flow statistics - coefficient

Not applicable

15.2. Comparability - over time

See section below.

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.

The main benchmarking indicators for the digital agenda have been collected since 2005 and are consistently comparable over time.

15.3. Coherence - cross domain

Not applicable

15.3.1. Coherence - sub annual and annual statistics

 Not applicable

15.3.2. Coherence - National Accounts

Not applicable

15.4. Coherence - internal

Not applicable


16. Cost and Burden Top
Restricted from publication


17. Data revision Top
17.1. Data revision - policy

 Data is not normally subject to revisions.

17.2. Data revision - practice

Not available

17.2.1. Data revision - average size

 Not requested


18. Statistical processing Top
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: 

Due to the limited number of enterprises in the local economy, a census of all in scope enterprises has been carried out for this survey.

 

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)

18.1.1. Population frame

A) Description of frame population

a) When was the sample for the ICT usage and e-commerce in enterprise survey drawn? February 2023    
b) When was the last update of the Business register that was used for drawing the sample of enterprises for the survey? February 2023 
c) Please indicate if the frame population is the same as, or is in some way coordinated with, the one used for the Structural Business Statistics (different snapshots) For the ICT survey a census of enterprises was conducted, while the SBS only tak einto account a Sample
d) Please describe if different frames are used during different stages of the statistical process (e.g. frame used for sampling vs. frame used for grossing up):  Census of all entreprises was conducted
e) Please indicate shortcomings in terms of timeliness (e.g. time lag between last update of the sampling frame and the moment of the actual sampling), geographical coverage, coverage of different subpopulations, data available etc., and any measures taken to correct it, for this survey.  Full geographical coverage was achieved, and all 10+ enterprises were surveyed.

 

 B) Frame population distribution

More detailed information is available in “ Sample and standard error tables 2023  “ excel file (Worksheet: FRAME POPULATION)

18.2. Frequency of data collection

Annual

18.3. Data collection

See detailed sections below.

18.3.1. Survey period
Survey / Collection Date of sending out questionnaires Date of reception of the last questionnaire treated
General survey   March 2022  July 2023
Micro-enterprises   Microenterprises (1 TO 9) not surveyed   Microenterprises (1 TO 9) not surveyed
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

Surveys to all enterprises employing 10 or more employees were sent by email in excel format, for enterprises who's email address was not available, surveys were sent by post.

Enterprises can return the filled in questionnaire by email, always in excel format, which is later uploaded directly into our data entry program. The questionnaires can also be returned by post, these will need to be manually inputted into our data entry program. 

On average, about 98% of responses are submitted via email.

Interviewers are also utilised to solicit response and assist the respondents in filling in the questionnaire. Interviewers are only engaged for enterprises who didn't submit a reply during the first round of data collection.

18.3.5. Survey participation
Mandatory
18.4. Data validation

An internal validation program is used during the inputting stage.

18.5. Data compilation

Grossing-up procedures

Total number of enterprises, employees and total turnover are weighted separately. Total Population and turnover estimates are based on the business register held by the NSO.

Both grossing up weights are based on the size class and NACE category of the enterprise.

Given that a census of all eligible enterprises is carried out, resulting weights tend to be relatively small.

18.5.1. Imputation - rate

Minimal

18.6. Adjustment

Not applicable

18.6.1. Seasonal adjustment

Not applicable


19. Comment Top

Problems encountered and lessons to be learnt: 

19.1. Documents
Questionnaire in national language  Yes
Questionnaire in English (if available) Yes
National reports on methodology (if available)  
Analysis of key results, backed up by tables and graphs in English (if available)  
Other Annexes  


Related metadata Top


Annexes Top
Annex 1._Completeness 2023
ICT ENT 2023 Questionnaire - Malta
Annex II Accuracy 2023
Population, Gross/Net Sample and Standard Error Tables 2023