European compilers’ manual for statistics on the use of ICT in households and by individuals : 2022 survey edition.
Date: 2023-03-30
Institutions: Eurostat
Subjects: EU statistics, electronic commerce, household consumption, information technology, information technology user, statistical method, user guide

European compilers’ 
manual for statistics 
on the use of ICT in 
households and by 
individuals

2022 survey 
edition

M A N U A L S 
A N D   G U I D E L I N E S

European compilers’ manual for statistics on the use of ICT in households and by individuals2022 survey editionManuscript completed in March 2023

This document should not be considered as representative of the European Commission’s official position.

Luxembourg: Publications Office of the European Union, 2023

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Theme: Digital Economy and Society 

Collection: Manuals and guidelines

PDF: 978-92-76-58208-3 

ISSN 2315-0815 

doi: 10.2785/781866

KS-GQ-22-012-EN-N

Abbreviations

AR

CSPA

DSL

EBS 

EC 

Augmented Reality

Common Statistical Production Architecture

Digital Subscriber Line

European Business Statistics

European Commission

eDAMIS 

Electronic Dataflow Administration And Management Information System

EEA

EFTA

EHIS

e-ID

ESMS

ESQR 

European Economic Area

European Free Trade Association

European Health Interview Survey

Electronic Identification

Euro-SDMX Metadata Structure

ESS Standard For Quality Reports

ESQRS

ESS Standard For Quality Reports Structure

ESS 

European Statistical System

ESS QAF

European Statistical System Quality Assurance Framework

ESSC

European Statistical System Committee

ESS-MH European Statistical System Metadata Handler

EU 

EWP

GALI

GDP

European Union

eDAMIS web portal

Global Activity Limitation Instrument

Gross Domestic Product

GSBPM 

Generic Statistical Business Process Model

HH

ICSE

ICT

IESS

ILO

IoT

ISCED

ISCO

ISO

ISS

IT 

LAU

MH 

MS 

NACE 

NNP

NSI 

NUTS 

OECD 

Household

International Classification of Status in Employment

Information And Communication Technology

Integrated European Social Statistics

International Labour Organisation

Internet Of Things

International Standard Classification of Education

International Standard Classification of Occupations

International Organization For Standardization  

Information Society Statistics

Information Technology

Local Administrative Unit

Metadata Handler

Member States

Statistical Classification Of Economic Activities In The European Community (Nomenclature Generale Des Activites 
Economiques Dans Les Communautes Europeennes)

National Numbering Plan

National Statistical Institute

Nomenclature Of Territorial Units For Statistics

Organisation For Economic Co-Operation And Development

3

European compilers’ manual for statistics on the use of ICT in households and by individuals PAPI

SDC

Paper Assisted Personal Interview

Statistical Disclosure Control

SDMX 

Statistical Data And Metadata Exchange

SILC

SIMS 

SSD

Statistics on Income and Living Conditions

Single Integrated Metadata Structure

Solid State Drive

UNECE

United Nations Economic Commission for Europe

VAT

VoIP

VR

VTL

Y2Y

Value Added Tax

Voice-over-Internet Protocol

Virtual Reality

Validation and Transformation Language

Year to Year

4

 European compilers’ manual for statistics on the use of ICT in households and by individualsContents

Abbreviations  ...................................................................................................................................................................................................................................................................................................... 3

1. Introduction  ................................................................................................................................................................................................................................................................................................... 7

1.1. What are statistics on the use of ICT in households and by individuals?  .................................................................................................................... 7

1.2. Usage and importance of statistics on the use of ICT in households and by individuals  ......................................................................... 7

1.3. What is the purpose of this compilers’ manual?  ....................................................................................................................................................................................... 7

1.4. Where can I find further guidance?  ........................................................................................................................................................................................................................ 8

2. Data compilation  ...................................................................................................................................................................................................................................................................................... 9

2.1. Legislative background  ........................................................................................................................................................................................................................................................ 9

2.2. Data requirements  .................................................................................................................................................................................................................................................................  10

2.2.1. Introduction  ....................................................................................................................................................................................................................................................................... 10

2.2.2. Statistical units  ................................................................................................................................................................................................................................................................ 10

2.2.3. Statistical population  ................................................................................................................................................................................................................................................ 11

2.2.4. Precision requirements  ........................................................................................................................................................................................................................................... 11

2.2.5. Periodicity  ............................................................................................................................................................................................................................................................................ 12

2.2.6. Variables  ................................................................................................................................................................................................................................................................................. 12

2.3. Model questionnaire  ...........................................................................................................................................................................................................................................................  13

2.3.1. Development of model questionnaires   .............................................................................................................................................................................................. 13

2.3.2. Socio-economic core variables  ...................................................................................................................................................................................................................... 13

2.3.3. Modules and questions  ......................................................................................................................................................................................................................................... 13

2.3.3.1. Module A: Access to Information and Communication Technologies  ............................................................................................................. 13

3. Data transmission ................................................................................................................................................................................................................................................................................ 65

3.1. General description   .............................................................................................................................................................................................................................................................  65

3.2. Transmission format for the use of ICT in households and by individuals  .............................................................................................................  65

3.2.1. Record structure and transmission of micro-data  ...................................................................................................................................................................... 65

3.2.2. Codification of micro-data  .................................................................................................................................................................................................................................. 68

4. Data quality  .............................................................................................................................................................................................................................................................................................  101

4.1. Metadata and quality reports  ................................................................................................................................................................................................................................ 101

4.1.1. Use of ICT in households and by individuals metadata and quality report  .................................................................................................  102

4.1.2. European Statistical System - Metadata Handler .....................................................................................................................................................................  103

4.2. Data validation by Eurostat  ...................................................................................................................................................................................................................................... 104

5

European compilers’ manual for statistics on the use of ICT in households and by individuals 5. Data aggregates  ................................................................................................................................................................................................................................................................................  107

5.1. Variables   ........................................................................................................................................................................................................................................................................................ 107

5.2.1. Household level  .........................................................................................................................................................................................................................................................  120

5.2.2. Individual level  ............................................................................................................................................................................................................................................................  121

5.2.3 Regional data   ...............................................................................................................................................................................................................................................................  126

5.2.4. Data on youth  ..............................................................................................................................................................................................................................................................  127

6. Data transmission ............................................................................................................................................................................................................................................................................  129

6.1. Data description  .................................................................................................................................................................................................................................................................... 129

6.2. Confidentiality and flags  .............................................................................................................................................................................................................................................. 129

6.3. Dissemination channels   .............................................................................................................................................................................................................................................. 129

References  .......................................................................................................................................................................................................................................................................................................  133

Annexes  ..............................................................................................................................................................................................................................................................................................................  135

Annex 1 - Model questionnaire  ....................................................................................................................................................................................................................................... 136

Annex 3 - Metadata reporting template  ............................................................................................................................................................................................................... 222

Annex 2 - Validations rules  .................................................................................................................................................................................................................................................... 157

6

 European compilers’ manual for statistics on the use of ICT in households and by individuals1.1. What are statistics on the use of ICT in 
households and by individuals?

Statistics on the use of information and communications technologies (ICT) in households and by individuals measure the uptake 
of EU technologies, the digitalisation of EU society and the use of ICT by the general public. These statistics are gathered through 
the annual ‘EU survey on the use of ICT in households and by individuals’. The 2022 survey measured households’ and individuals’ 
access to ICT, their use of the internet, egovernment, e-commerce, internet of things (IoT) and green ICT. It also gathered socio-
demographic information on participants.

This exercise has been carried out since 2002 when the European Commission launched annual ‘information society’ surveys to 
benchmark ICT-driven development in enterprises and by individuals.

Eurostat is responsible for coordinating the survey on the ‘use of ICT in households and by individuals’ which is conducted at 
national level. Survey questions are developed every year, in close collaboration with Member States and the Organisation for 
Economic Cooperation and Development (OECD), in line with the changing needs of data users and policy makers. The survey 
takes the form of a model questionnaire (MQ) and is accompanied by methodological guidelines for its implementation.

1.2. Usage and importance of statistics on the use 
of ICT in households and by individuals

ICT account for a significant part of EU productivity and growth and are transforming our societies and economies in a profound and 
unprecedented way. Official statistics are indispensable for an informed understanding of the implications of the transformations 
under way. Selecting appropriate indicators is a crucial step. Measuring the development of the information society with relevant 
statistics on society, business processes and the digital economy requires continuous revision and improvement.

The current compilers’ manual refers to the model questionnaire used for collecting part of the statistical data for monitoring 
progress towards the Commission’s vision for Europe’s digital transformation by 2030 presented on 9 March 2021. This vision for 
the EU’s Digital Decade revolves around four cardinal points: skills; digital transformation of businesses; secure and sustainable 
digital infrastructures; and digitalisation of public services. The model questionnaire also helps users measure the implementation 
of one of the six priorities of the 2019-2024 von der Leyen Commission – A Europe fit for the digital age.

1.3. What is the purpose of this compilers’ manual?

This compilers’ manual (hereafter referred to as the ‘Manual’) is meant to serve as a practical reference document for all National 
Statistical Institutes (NSI) involved in the compilation of data on the use of ICT in households and by individuals. As such, its main 
objectives are:

•  to help NSI translate Eurostat model questionnaires into national languages and to ensure that the same methodology is 

used by all countries when conducting the national surveys; 

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European compilers’ manual for statistics on the use of ICT in households and by individuals 12. Introduction1 Introduction

• to set out the concepts, definitions and compilation methods, guiding the compilation of data;

• to explain the validation and quality rules, and metadata reporting;

• to explain the concepts and methods of data transmission to Eurostat.

In order to do so, each chapter of this manual describes a step of the production process of statistics on the use of ICT in households 
and by individuals. 

The second chapter is on data compilation. Data compilation is carried out by the NSI on the basis of the model questionnaire. This 
chapter introduces the legislative background underpinning the process and explains how to interpret the model questionnaire 
to ensure the comparability of data between MS. 

The third chapter is on data transmission. Once the data has been collected by the NSI, they must transmit them to Eurostat. 
To  that  effect,  this  chapter  sets  out  how  to  transfer  the  data  to  Eurostat  (codification,  transmission  channel,  deadlines,  flags, 
confidentiality…).  

The fourth chapter is on data quality. Once the data are transmitted, Eurostat applies validation rules to assess their quality. This 
chapter sets out the quality framework and the validation rules used by Eurostat. 

The fifth chapter is on data aggregation. Once the data are validated by Eurostat, specific processes are used to aggregate the 
data. This chapter shows the tables containing all the aggregation definitions set out by Eurostat.

Finally, the sixth chapter is on data dissemination. Once the whole data collection process is complete, Eurostat publishes the data. 
This chapter describes the type of data that is published and how to access them. 

Note that this edition of the Manual serves as a reference for the compilation and transmission to Eurostat of data 
relating to 2022 as reference year.

To keep up with technological advances in digitalisation and changes in data requirements, this Manual will be updated every 
year.

This Manual focuses on issues relevant to the use of ICT in households and by individuals. It does not provide an exhaustive list 
of all concepts and tools underpinning European statistics. For this information, please refer to the manuals, guidelines and other 
references listed in Section 1.4 below.

1.4. Where can I find further guidance?

Further guidance is available from the following sources:

• The Digital economy and society webpage presents a global and regularly updated overview of Digital economy and society

statistics, including statistics on the use of ICT in households and by individuals.

• The European Statistical System (ESS) handbook for quality and metadata reports sets out guidelines for the preparation of
producer and user reports for the full range of statistical processes and their outputs within Member States, EFTA countries
and Eurostat.

• The ESS Handbook Methodology for data validation 2.0 provides a generic reference framework and metrics for data

validation.

• The Business Architecture for ESS Validation manual sets out a common understanding of how ESS validation should be

conducted.

• The European Statistics Code of Practice sets out principles that aim to ensure that statistics produced within the European
Statistical System are relevant, timely and accurate, and that they comply with the principles of professional independence,
impartiality and objectivity.

• The Quality Assurance Framework of the European Statistical System provides a collection of methods, tools and good

practices on how to implement the European Statistics Code of Practice.

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 European compilers’ manual for statistics on the use of ICT in households and by individuals 
Data compilation is done by the NSI on the basis of the model questionnaire. This chapter explains the legislative background and 
the data requirements, and provides guidance on the interpretation of the model questionnaire.

2.1. Le gislative background

Statistics on the use of ICT in households and by individuals are based on EU legislation to ensure a harmonised approach for 
the production of statistics by all reporting countries. Six regulations currently form the legal basis of the survey on ICT usage in 
households and by individuals:

• Regulation (EU) 2019/1700 of the European Parliament and of the Council of 10 October 2019 establishing a common
framework for European statistics relating to persons and households, based on data at individual level collected from
samples, amending Regulations (EC) No 808/2004, (EC) No 452/2008 and (EC) No 1338/2008 of the European Parliament
and of the Council, and repealing Regulation (EC) No 1177/2003 of the European Parliament and of the Council and Council
Regulation (EC) No 577/98 (Integrated European Social Statistics – ‘IESS framework regulation’);

• Commission Implementing Regulation (EU) 2019/2180 of 16 December 2019 specifying the detailed arrangement and
content for the quality reports pursuant to Regulation (EU) 2019/1700 of the European Parliament and of the Council;

• Commission Implementing Regulation (EU) 2019/2181 of 16 December 2019 specifying technical characteristics as regards
items common to several datasets pursuant to Regulation (EU) 2019/1700 of the European Parliament and of the Council;

• Commission Delegated Regulation (EU) 2020/256 of 16 December 2019 supplementing Regulation (EU) 2019/1700 of the

European Parliament and of the Council by establishing a multiannual rolling planning;

• Commission Implementing Regulation (EU) 2021/1223 of 27 July 2021 specifying the technical items of the data set,

establishing the technical formats for transmission of information and specifying the detailed arrangements and content
of the quality reports on the organisation of a sample survey in the use of information and communication technologies
domain for reference year 2022 pursuant to Regulation (EU) 2019/1700 of the European Parliament and of the Council
(‘implementing act’); and

• Commission Delegated Regulation (EU) 2021/1898 of 20 July 2021 supplementing Regulation (EU) 2019/1700 of the

European Parliament and of the Council by specifying the number and titles of the variables for the use of information and
communication technologies statistics domain for reference year 2022 (‘delegated act’).

The 2019 Regulation is a framework regulation. It therefore provides flexibility to adapt the survey on use of ICT in households and 
by individuals to newly evolving needs of users and decision-makers. Annual implementing measures, such as the implementing 
act (Regulation (EU) 2021/1223) and the delegated act (Regulation (EU) 2021/1898) supplementing the IESS framework regulation, 
are the basis for the Eurostat annual model questionnaire and the respective survey. This ensures harmonised data for all EU-27 
Member States. The annual implementing regulations are of relevance for the European Economic Area (EEA).

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European compilers’ manual for statistics on the use of ICT in households and by individuals 26. Data compilation2 Data compilation

2.2. Data requirements

2.2.1. Introduction

The statistical product is the clear and precise definition of the statistical information to be produced. It must be distinguished 
from the production methodology. The production methodology is the way or method of doing, while the statistical product is its 
direct result. Different statistical methodologies can produce the same statistical product, being only different ways of doing the 
same thing. This means that as long as it is guaranteed that two figures concern the same statistical product, for instance for two 
different countries, they are comparable. This way, this distinction between the statistical product and the statistical methodology 
helps  us  to  focus  on  those  elements  more  important  to  ensure  comparability  between  the  various  national  statistics  and  to 
produce new ones at EU level, i.e. the statistical product, while leaving to the discretion of national statistical institutes the choice 
of the better statistical methodology to be applied in its own country taking into consideration its own specificities.

The  elements  that  make  up  the  statistical  product,  at  an  input  level,  are  the  statistical  unit,  the  target  population  and  the 
observation variables, and at the output level, the periodicity and the summary measures, aggregate variables and tabulation. 
Covering all the elements of the statistical product, the statistical concepts and the nomenclatures are the additional required 
elements to ensure harmonisation and comparability of statistics.

This chapter provides a detailed description of the data requirements on use of ICT in households and by individuals. These are 
based on the IESS framework regulation, the implementing and delegated acts, and Commission Implementing Regulation (EU) 
2019/2181 for the socio-economic background characteristics.

The detailed topics of the statistics relating to persons and households are laid down in Annex 1 to the IESS framework regulation. 
The ICT implementing and delegated acts further specify the data elements that are to be transmitted. The specifications that are 
relevant to the use of ICT in households and by individuals are set out and detailed in the subsections below.

2.2.2. Statistical units

The statistical unit is the base type of the elements of a group (also called population) that is to be observed or analysed. The basic 
statistical operations of classification, aggregation and ordering are done on the statistical unit.

The choice of the statistical unit is a matter of both the data collection process (namely the operational restrictions associated to 
collecting data from each type of statistical unit) and the conceptual framework chosen to observe and analyse the phenomenon. 
The statistical unit is the bearer of statistical characteristics or attributes that should ultimately be measured.

There are several types of statistical units, according to their usage. An observation unit represents an identifiable entity, about 
which data can be obtained. During the collection of data, this is the unit for which data are recorded. It should be noted that this 
may, or may not be, the same as the reporting unit. The reporting unit is the unit that reports to the survey authority. It reports 
information for the observation unit(s). In certain cases, it may be different from the observation unit. A reporting unit is a unit that 
supplies the data for a given survey instance.

In the survey on use of ICT in households and by individuals, the following statistical units are used (depending on the variable):

•  households; 
•  individuals.

Ideally, data collected on the household should be reported by the household itself. In most cases, it is of course not feasible to 
gather the household around the table to collect their common answer; this is especially the case in a telephone interview. In 
general, one individual in the household will answer the household-related questions having the household perspective in mind. 
This one individual can, for instance, be the head of the household or the individual who has been selected for the individual 
questions.

As the survey relates to one’s usage of internet and internet-related devices, it is necessary that the selected individual answers 
the questions personally. Proxy interviews may lead to errors in the data collection.

Different survey units, i.e. households and individuals, are used in different sections of the model questionnaire. The household 
approach is used when information is collected on access to different electronic devices, type of internet connection, and barriers 
to use of the internet. The individual approach is used when information is collected on use of internet, use of e-government, use 
of ecommerce, or other topics such as eskills.

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 European compilers’ manual for statistics on the use of ICT in households and by individualsData compilation

2

The reasoning behind using a household approach when trying to describe access to ICT is that households are the platform for 
providing access for a number of individuals, i.e. the members of households. To make comparisons between European countries 
on a household level, it is important to consider the differences in household demographics. One of the reasons for this is that 
some countries might have bigger household sizes, and composition, than other countries, which is probably also correlated with 
the rate of access. To be able to make fruitful comparisons, it is also important that countries use the same household definition.

The individual approach is used in the context where the collected information refers, to a larger extent, to the individual’s use 
of ICT. Also, in this case it is important to consider structural differences between countries, e.g. age demographics, in order to 
make fruitful comparisons. However, the problem is not as big as when it comes to households, since many people have a better 
knowledge of countries’ differences in age structure than their differences in household structure.

2.2.3. Statistical population

A population is a collection of objects of the same class. In statistical terms, this means a group of elements of the same statistical 
unit.  There  are  two  types  of  populations  to  be  considered  when  producing  statistics:  the  target  population  and  the  frame 
population.

The target population is the population of interest. It is identified by clearly delimiting the group of statistical elements about 
which information is desired. That delimitation is based on one or more attributes of the statistical unit. In the ICT usage survey, 
the target population for the different statistical units is:

•  individuals: all individuals aged 16 to 74;
•  households: all (private) households with at least one member aged 16 to 74.

The  frame  population  is  an  operationalisation  of  the  target  population,  consisting  ideally  of  the  complete  list  of  the  target 
population elements. A target population can be easily identified but, in practice, a list of all its elements is needed for its complete 
or partial (if a sample is used) observation, and that can be very difficult to obtain. That list should be complete and include every 
element of the target population only once. However, it will usually suffer from both under-coverage and over-coverage. Generally, 
files of statistical elements (registers) are maintained and updated, containing lists of statistical elements and also information on 
some attributes, usually used for delimiting target populations. Normally, frame populations are extracted from those registers.

2.2.4. Precision requirements

The accuracy of statistical information refers to the closeness of estimates to the unknown true values. In practice, it is the degree 
to which the information correctly describes the phenomena it was designed to measure. The accuracy of statistical information 
is broken down into bias (systematic error) and variance (random error).

Sampling error is one of the quality indicators related to accuracy and, for most of the sampling surveys, is the most indicative 
quality information. The quality aspect is covered in Article 13 of the IESS framework regulation, Article 9 of the implementing 
act, and Commission Implementing Regulation (EU) 2019/2180 of 16 December 2019 specifying the detailed arrangements and 
content for the quality reports for all domains under the IESS framework regulation.

The precision requirements for the use of ICT domain are defined in Annex II of the IESS framework regulation:

The precision requirements are expressed in standard errors and are defined as continuous functions of the actual estimates and 
of the size of the statistical population in a country. The estimated standard error of a particular estimate               must not be 
bigger than the following amount:

The function f(N) has the form of  

The following values for parameters  

, N, a and b are to be used:

√

•   -  =  Percentage of individuals who ordered goods or services over the internet for private use in the last year;

•  N = Country population aged 16‐74 residing in private households, in million persons and rounded to 3 decimal digits;

•  a = 400; 

•  b = 1300.

11

European compilers’ manual for statistics on the use of ICT in households and by individuals ̂
̂
 
̂
 
2 Data compilation

2.2.5. Periodicity

The periodicity is annual, meaning the data are collected and compiled once a year.

Every year, however, the content of the survey and questionnaire can be changed to accommodate the evolving needs of data 
users. In addition, to minimise the burden on NSI and respondents, some variables can be observed with a lower frequency, e.g. 
variables that tend to be stable over time.

This periodicity is laid down in Annex I to Commission Delegated Regulation (EU) 2020/256 of 16 December 2019 supplementing 
Regulation (EU) 2019/1700 of the European Parliament and of the Council by establishing a multiannual rolling planning(1).

2.2.6. Variables

In the survey on use of ICT in households and by individuals, most of the observation variables are qualitative, i.e. the aim is 
not to collect information on quantities (‘how many…’), frequencies (‘how often…’) or amounts (‘how much…’) but rather to 
obtain non-numerical or categorical information(2). In most cases, the observation variables in the ICT usage survey are binary 
(dichotomous), meaning the respondent answers with yes or no, e.g. ‘Have you used the internet for selling goods or services?’ 
The final statistics will then mainly be proportions (e.g. the number of yes answers divided by the number of respondents who 
answered  the  question).  Other  observation  variables  are  qualitative  too,  but  with  more  than  two  answering  categories  (e.g. 
highest educational level).

The attributes or characteristics for the EU survey on the use of ICT in households and by individuals are listed in the Annex to 
the  implementing  act.  This  specifies  the  technical  items  of  the  data  set,  establishes  the  technical  formats  for  transmission  of 
information, and specifies the detailed arrangements and content of the quality reports on the organisation of a sample survey in 
the use of ICT domain for reference year 2022 pursuant to the IESS framework regulation.

The operational versions of the observation variables are the questions in the survey questionnaire. The questionnaire for survey 
year 2022 can be found in Annex 1 - Model questionnaire.

The definition of the observation variables or the model questions are discussed in more detail in Section 2.3 below.

(1)   OJ L 54, 26.2.2020, p. 1–8.

(2)   There are nevertheless a few quantitative variables in the survey, in particular in the e-commerce module.

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 European compilers’ manual for statistics on the use of ICT in households and by individualsData compilation

2

2.3. Model questionnaire

2.3.1. Development of model questionnaires 

The implementing act defines the characteristics of the datasets. However, to reach a higher degree of harmonisation, Eurostat - 
together with a task force of experts in the survey on the use of ICT in households and by individuals – prepares an annual model 
questionnaire that is recommended to the NSIs.

The  IESS  framework  regulation  limits  the  response  burden  of  the  annual  implementing  act  to  139  variables  including  socio-
economic core variables. On the other hand, the need for measuring digitalisation is ever increasing. To collect relevant statistics 
measuring  the  significant  technological  changes  of  the  ICT  landscape,  but  at  the  same  time  not  to  increase  the  burden  on 
respondents, topics are replaced or updated to collect more relevant or more in-depth information every year. Consequently, 
to  accommodate  new  variables  while  keeping  the  response  burden  constant,  some  variables  can  be  observed  with  a  lower 
frequency (e.g. variables that tend to be stable over time).

In addition to the compulsory data collection, some variables are proposed to be collected by the NSIs on a voluntary basis.

2.3.2. Socio-economic core variables

The  definitions  of  the  socio-economic  core  information  are  common  to  all  domains  under  the  IESS  framework  regulation. 
They cover various types of individual and household information, such as a person’s sex, age, household type, main activity 
status etc. The variables and the categories for data transmission to the Commission are described in the Annex to Commission 
Implementing Regulation (EU) 2019/2181.

To  ensure  the  uniform  interpretation  and  application  of  those  variables  throughout  the  domains,  definitions,  categories  and 
implementing guidelines are further specified in the Implementing guidelines for standardised key social variables.

The description of the socio-economic background characteristics in Section 2.3.3.7 below refers to Regulation 2019/2181 and the 
implementing guidelines.

2.3.3. Modules and questions

The explanatory notes in this chapter refers to the questions in the 2022 MQ (see Annex 1 - Model questionnaire). The structure 
of this chapter follows the MQ, i.e. the explanatory notes are grouped per module (title) and per question. It is recommended to 
have the model questionnaire at hand while reading this section.

The statistical unit for Module A is the household while the individual is the statistical unit for the other modules. 

2.3.3.1. Module A: Access to Information and Communication Technologies

 Æ Statistical unit: households 

A1: Do you or anyone in your household have access to the internet at home (by any device)?

[Scope: all households]

[Type: one single answer needed, i.e. Tick only one; binary (Yes/No) + Don’t know; filter question]

This  question  refers  to  the  access  to  the  internet  by  the  household.  ‘Access’  does  not  refer  to  the  “connectability”  (i.e.  can 
connections be provided in the households’ area or street), but to whether anyone in the household could use the internet at 
home if desired, even if just to send an e-mail (“connectivity”).

Former versions of the question had the clause ‘regardless of whether it is used’ which is now dropped. First, it will in most cases 
be irrelevant as households will normally make use of a service they have subscribed to (and are paying for). It is however possible 

13

European compilers’ manual for statistics on the use of ICT in households and by individuals 2 Data compilation

that the connection was installed by one of the household members’ employer or is a default facility in the building where the 
the members of the household are living (without actually being used). But discussions in the Information Society Statistics (‘ISS’) 
Working Group and Task Force meetings confirmed that no significant differences in access and use could be found. Thus, the 
clause was removed. The Don’t know answering category should be avoided by asking the respondent additional questions. 
However, in some cases the household member selected for the interview may not be aware what other members are doing 
with e.g. the household’s computer.

In  certain  countries,  it  is  possible  to  access  the  internet  without  subscription  contracts,  but  for  instance  by  ad  hoc  payments 
whenever the internet is actually used. This can be in form of sending a text message to receive a short duration access code. In 
this situation, a lot of households have the possibility to access the internet from home (of course under the condition they have 
the necessary equipment, e.g. computer+modem or internet enabled mobile phone) but will not be using it. In this case the 
answer ‘yes’ should be provided.

The question should be consistent with past surveys, this means not pointing especially to mobile phone devices since it would 
be difficult for some respondents to reflect on whether the mobile device enables internet or not or by which connection and 
at which location. People using internet via a mobile phone only away from home have access at home if desired in case they 
subscribed to internet flat rate or could use Wi-Fi access connected to a DSL or other router in a household or public Wi-Fi if this 
is possible at the location of the household. That is why the words “by any device” were added when needed and should serve 
as sufficient clarification.

2.3.3.2. MODULE B: USE OF THE INTERNET

Statistical unit: individuals

This module asks about the individuals’ own internet use at any location (home, work or other places). Any internet enabling device 
should be considered. Examples are desktop, laptop, netbook or tablet computers as well as smart phones, games consoles or 
e-book readers, smart TV, wearable devices like smart watches etc.

B1: When did you last use the internet?

[Scope: all individuals]

[Type: one single answer needed, i.e. Tick only one; filter question]

This  question  covers  any  use  of  the  internet  -  whether  at  home,  at  work  or  from  anywhere  else  and  whether  for  private  or 
professional purposes.

The time breakdowns are self-explanatory: Within the last 3 months; Between 3 months and a year ago; More than one year ago; 
Never used it. The question conforms to time series.

For better clarity, the explanation “via any device desktop, portable or handheld, including mobile or smart phones” has been 
added in brackets in this and other internet related questions in the past; in recent questionnaires, the module(s) starts with a text 
box explaining these issues.

B2: How often on average did you use the internet in the last 3 months? 

[Scope: individuals who used the internet in the last 3 months, i.e. 1st option in B1]

[Type: one single answer needed, i.e. Tick only one]

As of 2022, questions B2 and B2.1 of previous model questionnaires have been merged in order to ask respondents only once about 
their internet use frequency. The first reply option (“Several times during the day”) should encompass most of the respondents of 
the survey, allowing for asking one question, instead of two, as in model questionnaires from previous years.

The response categories to this question could be slightly ambiguous. Respondents should therefore be presented with all four 
options and should select which one best describes their behaviour.

a)  Several times during the day

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This reply option is directed towards the most frequent internet users, being online several times a day every day. If asked this 
should refer to internet use several times a day more than 4 days each week. Persons who use the internet at work, several 
times during the day, on a daily basis during the week but who don’t use it so often at home during the weekend should tick 
this option.

b)  Once a day or almost every day

This reply option should be ticked if the respondent checks the internet only once a day, or almost every day, but not several 
times a day.

c)  At least once a week (but not every day)

d) If asked this should refer to between 1 and 4 days each week

e)  Less than once a week

B3: For which of the following activities did you use the internet (including via apps) in the last 
3 months for private purpose? 

[Scope: individuals who used the internet in the last 3 months (i.e. 1st option in B1)]

[Type: multiple answers allowed, i.e. Tick all that apply]

This set of responses refers to personal or private use only (i.e. NOT for work related purposes) but access could have been from 
anywhere – including place of work or educational facilities.

Any internet enabling device (including smart TV; apple TV, etc.) is included in the scope. Apps are also included.

The question has been modified in 2015 following the Digital Europe Benchmarking Framework 2011-2015(3). The Monitoring the 
Digital Economy and Society Framework 2016-2021 follows the same structure. The framework, providing the major rationale for 
the EU ICT usage surveys, includes a set of biennial usage indicators. Some biennial indicators mentioned in the framework are 
measured annually because of the high interest (e.g. internet banking). For 2022, the following have been selected for question B3.

Communication 

a)  Sending / receiving e-mails

It includes the use of e-mail for sending messages to friends or relatives or for getting information on goods/services.

b)  Making  calls  (including  video  calls)  over  the  internet,  for  example  via  Skype,  Messenger,  WhatsApp,  Facetime,  Viber, 

Snapchat, Zoom, MS Teams, Webex

This item refers to an activity which consist of a program being used for making live audio calls over the internet (e.g. Skype). 
It also includes cases when the audio call is combined with live video where a person can see another person to whom they 
are talking to (e.g. Facetime), in other words – a video call. The term video calls reflects more current trends in live audio and 
visual communication between persons. It is simply referring to web camera as additional mean to connect via the internet 
(IP based networks). Web cameras, usual small digital cameras, are used. The features can be made accessible in programs for 
internet calls/telephoning (such as Skype).

General issues: Telephoning over the internet is a relatively inexpensive method to communicate. Voice-over-Internet 
Protocol (IP) (‘VoIP’) are offered by specialised enterprises but also by internet service providers (if asked, the respondents 
will often not know if VoIP is used). Peer-to-peer telephony has become important. The user needs to install a little program 
or app (e.g. Skype, WhatsApp, Messenger, Snapchat) for making free calls over the internet to anyone else who also has this 
app/software. Usually, one can also make calls to normal fixed or mobile lines via a pre-paid credit.

Therefore, the use of a fixed telephone that works via internet is not included in the scope. Only VoIP calls via internet 
applications provided by non-traditional telecom operators that do not involve the attribution of a NNP (national 

(3)   See the i2010 High Level Group, Benchmarking Framework, 20 April 2006 available at the following link: https://circabc.europa.eu/sd/d/ee295abf-562a-4d16-99c0-

2540438dbdde/i2010_HLG_benchmarking_framework%20fin.pdf

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numbering plan) number of the country in question fall under the scope of this question (e.g. Skype, WhatsApp, Facetime, 
Messenger, Snapchat).

The terms ‘Skype’, ‘Facetime’ in the wording of the answer option are meant as examples as they are widely known. NSI 
could add in national questionnaires any other application currently used at national level.

Video calls via WhatsApp, Messenger, Viber, Houseparty and similar applications are included in the scope. The usage of 
applications such as Webex, MS Teams or Zoom should also be considered here, if used for private purposes.

c)  Participating  in  social  networks  (creating  user  profile,  posting  messages  or  other  contributions  to  Facebook,  Twitter, 

Instagram, Snapchat etc.)

Social networking can be distinguished from other communication and content activities by the aspect of creating a profile 
on certain websites. Besides global platforms such as Facebook or MySpace there are many others focussing on certain 
subjects or existing offline communities.

The terms Facebook, Twitter, Instagram or Snapchat in the wording of the answer option are meant as examples as they are 
widely known. In national questionnaires any other network frequently used at the national level could be added.

Being a member of a network with selected other members who share interests and activities is an essential characteristic 
of a social network. Online social networks are websites where members can store information about themselves, typically 
in the form of profiles, and make contact with other members, thus creating a network of personal connections. In addition, 
user-created content can be uploaded by anyone, such as texts, photos, music files and video clips, which often act as the 
centre for interaction within the network (e.g. YouTube, MySpace). Social networking may take place anonymous or with real 
personal data. Information provided often includes photographs and CVs. Members’ networks of connections are usually 
displayed as an integral piece of their self-presentation.

Social networking sites thus include tools for posting personal data into a profile, uploading user-created content, allowing 
personalised interaction and communication with others by posting messages, and defining social relationships by 
determining who has access to data, who can communicate with whom and how.

Many different social networks exist that cater to different needs. Examples are (source: http://ec.europa.eu/information_
society/activities/social_networking/facts/index_en.htm):

Generalist social networks: MySpace, Facebook, Snapchat, Skyrock, Bebo, Netlog, Hyves, StudiVZ.de, Piczo, Zap.lu, MSN, 
Giovani.it, Arto.dk, Yahoo, One.lt, Grono, Tuenti, Aha.bg, Instagram, Google+.

Content-based platforms, where users can watch or upload content such as videos or pictures: YouTube, Dailymotion, Flickr.

Micro-blogging networks: Twitter.

Virtual environments: Second Life, Habbo Hotel.

d) Using instant messaging i.e. exchanging messages, for example, via Skype, Messenger, WhatsApp, Viber, Snapchat

This reply option is complementary to reply option b) in order to have a better picture of over the top communication 
services. The item refers to writing messages via applications such as Skype, Messenger, WhatsApp, Viber, Snapchat. 
Communicating via SMS is not included under the scope of this reply option.

Other instant messaging services which fall under the scope of this question include, for example: Discord, eBuddy XMS, 
iMessage, Kik Messenger, Line, Telegram, WeChat.

Dictating instant messages via voice recognition is also under the scope of this reply option.

Access to information

e)  Finding information about goods or services

Using the internet to seek for information about any household good, for example, films, music, video-games, books, 
e-learning material, clothes, electronic equipment computer software or services for example banking, financial or health 
services. It should not include transactions, e.g. purchases of any goods or services (on- or offline), although one will usually 
look up information on a good or services before actually purchasing it.

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f)  Reading online news sites/ newspapers / news magazines

This should include all types of online newspapers and magazines either free of charge or under payment.

The wording “Reading or downloading…” in former questionnaires was modified and “downloading” removed since 
information on downloading (or direct screening) was found irrelevant.

Civic and political participation

g)  Expressing opinions on civic or political issues on websites or in social media (e.g. Facebook, Twitter, Instagram, YouTube)

This reply option investigates, if the respondent has been expressing their opinions on civic or political issues on websites or 
in social media. Writing comments on discussion forums or to articles on news sites is included under the scope of this reply 
option. Use of reactions such as the like button and similar are included under the scope of the reply option.

h)  Taking part in online consultations or voting to define civic or political issues (e.g. urban planning, signing a petition)

This item refers to active participation in deciding about civic or political issues. Compared to g), item h) may include 
other ways than communication on a website or in social media. Actions referred here are one-time actions with a given 
timeframe for feedback and refers to the systematic collection of opinions.

Accordingly, item h) consists of formal procedures to construct a consensus and may lead to decisions.

Use of entertainment

i)  Listening to music (e.g. web radio, music streaming) or downloading music

This refers to live or time-delayed listening of radio broadcast or music streaming services, including music on YouTube. On 
demand services are included. Since 2020, downloading music has also been included under the scope of the question.

j)  Watching internet streamed TV (live or catch-up) from TV broadcasters (e.g. [national examples])

This refers to using streaming media as an alternative to downloading. The content is not stored, instead it is deleted after 
watching. It can be used to watch an event on the internet live or to view a programme later (catch-up).

This option refers mainly to the common TV broadcasters who give the possibility to watch TV live at a specific broadcast 
time or to watch a missed programme when one decides to watch it.

It is recommended to include national examples in the reply option wording in order to ease the respondents’ 
understanding of this item.

k)  Watching Video On Demand from commercial services (ex. Netflix, HBO GO, Amazon Prime, Maxdome, Apple TV)

This refers to services (streaming services) for which users have to subscribe and pay a fee.

This option refers to commercial services (for payment) on demand and therefore to the videos that one might have 
watched on the basis of some kind of subscription (also one-time). Examples of video on demand from commercial services 
are: Netflix, HBO GO, Amazon Prime, Maxdome.

l)  Watching video content from sharing services (e.g. YouTube)

This refers to services with free access for users, but often the services are financed via advertisements. It refers to shared 
services, meaning free of charge. One example is YouTube but there are several sites which offer videos or movies without 
paying.

m)  Playing or downloading games

This refers to games played online or after downloading, even if afterwards the person plays being offline.

n)  Listening to podcasts or downloading podcasts (optional)

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This  reply  option  is  asked  for  the  first  time  as  of  2022  and  refers  to  the  activity  of  listening  to  podcasts  or 
downloading podcasts. A podcast is an episodic series of spoken word digital audio files that a user can download 
to a personal device for easy listening(4).

Specific options B3i, B3j, B3k, B3l, B3m and B3n refer to any internet enabling device (therefore smartphones or mobile phones, 
smart TV, apple TV, etc. are included in the scope here).

eHealth

o)  Seeking health-related information (e.g. injuries, diseases, nutrition, improving health, etc.)

This item refers to internet use for health-related activities. The scope is limited to private purpose. Professional use is not to 
be taken into account. “Private” should however not be limited to own personal use, but can also include internet use for 
health related activities on behalf of other family members or friends. Seeking health-related information for pets should 
also be included.

The item includes general searches via a search engine (Google, Yahoo!) using keywords in one of the mentioned fields. This 
item also includes more specific searches on specialised websites such as the ministry of health, non-governmental bodies 
or interest groups. Seeking health-related information on hospitals’ websites should also be included.

The respondent may have obtained the website’s address from a folder or an article.

p)  Making an appointment with a practitioner via a website or app (e.g. of a hospital or a health care centre)

Sending an e-mail is excluded. This item aims to cover to which extent the population makes use of websites of hospitals 
and health care centres providing opportunities for online appointments via web forms. These services may not be 
applicable in a few countries (if validated by other reliable sources, it can be omitted in the national questionnaire).

q) Accessing personal health records online

This item covers the online consultation of personal health records via a website or app (for example blood test results). The 
item does not cover consultations of health records gathered for insurance purposes by private insurance schemes.

r)  Using other health services via a website or app instead of having to go to the hospital or visit a doctor (e.g. by getting a 

prescription or a consultation online)

This item covers the use of other health services via a website or app than those mentioned above. Those would mainly be 
services such as online medical consultations or getting a prescription online. The use of mobile health applications (also if 
used in parallel with other connected e-health devices, such as wearable connected devices) is also under the scope of this 
reply option (for example the use of apps to monitor heart rate, sugar rate, sleep disorders, oncological care, re-education 
etc.), if the results of such measurements are made available via internet to the doctors’ scrutiny.

However, consultations by email should be excluded.

Other on-line services

s)  Selling goods or services via a website or app (e.g. eBay, Facebook Marketplace, shpock)

In 2020, a new wording of this item has been proposed to take into account not only auctions but also other online 
marketplaces, such as the Facebook Marketplace.

Selling goods or services on-line, e.g. via eBay website, does not require an electronic payment transaction, i.e. the 
transaction or ‘deal’ is done online but the payment and/or delivery can take place offline.

Putting an advertisement on a website to, for example, sell a second-hand bicycle or a spare ticket for an event, should 
not be included here as the transaction is in general not concluded online in an automatic manner (but via a phone call or 
informal e-mail).

As regards the selling of online services, the variable encompasses the selling of services via such platforms as Facebook 
Marketplace or certain national platforms put in place to sell services (e.g. for babysitting, house works, handymen services, 

(4)   Podcast - Wikipedia

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gardening, beauty services etc.). The use of such platforms as AirBnb or Uber for rental/transport services should be 
considered in the scope only if in a given Member State such a platform is part of the collaborative economy. 

t)  Internet Banking (including mobile banking)

The item refers to the usage of internet banking services including electronic transactions with a bank for payment, 
transfers, etc. or for looking up account information.

The wording of the EU questionnaire of this reply option has been changed in 2021, to put emphasis on the fact that mobile 
banking is included under the scope. However, the scope of the question as such remains the same as compared with 
previous years.

The usage of mobile banks like Revolut, N26 etc. is also included in the scope of this item. Electronic transactions for other 
types of financial services are not covered by this category. A simple information search on e.g. shares or financial services is 
of course included under item d) Finding information on goods and services. Using electronic wallets should be excluded.

B4. Have you conducted any of the following learning activities over the internet for 
educational, professional or private purposes in the last 3 months? 

[Scope: individuals who used the internet in the last 3 months (i.e. 1st option in B1)]

[Type: multiple answers allowed, i.e. Tick all that apply]

The aim of this question is to measure internet use for learning in the context of pursuing education or work but also private 
purposes. In past surveys, a question was asked about doing online courses within the context of question on internet 
activities for private purposes. This issue has been integrated in the new question. The question has gained particular 
relevance in the COVID-19 pandemic context.

a)  Doing an online course

This item refers to an individual taking part in a course that is offered entirely or partly over the internet. A course in this 
context should be understood as a planned series of learning activities in a particular subject or topic. Often, a course 
leads to a qualification or a certificate of attendance. The course can be offered by an education institution(5), non-formal 
education & training institution, employer, commercial institution, chamber of commerce, non-commercial institution (e.g. 
library), trade union, etc. Online courses are often part of distance education, meaning that they are offered at a distance 
from the location of education and training organisations. Massive Open Online Courses (MOOCs) offered by open 
universities are a good example(6).

Interaction with teachers, trainers and learning material is done over the internet. The use of e-learning software can 
play a role. This item applies also if a course is only partially done online. The question concerns any subject addressed in 
education or training or for private purposes. The latter includes hobbies or personal development (e.g. languages, history, 
cooking). Online courses normally require registration.

Structured courses on applications such as Duolingo could also be considered in the scope of this reply option, especially if 
they lead to an exam or a certification.

Distance learning performed in the context of the Covid-19 pandemics should be classified under this reply option, if it takes 
the form of a structured, online course performed partly or entirely over the internet.

b)  Using online learning material other than a complete online course (e.g. video tutorials, webinars, electronic textbooks, 

learning apps or platforms)

This item refers to the use of educational material on any subject or topic that is made available over the internet or in 
a digital format for educational, professional or private purposes. Typically online learning material is made available by 
free learning apps (e.g. Duolingo), websites for learning (e.g. Khan Academy, see a list of national providers or platforms of 
learning material here), but can also be by any training organisation or public body (e.g. library) free of charge or as a pay 
service.

(5)   Adapted from ISCED, Glossary, 1997 – source: https://www.vocabularyserver.com/eurydice/en/index.php?tema=568&/course

(6)   Examples of MOOCs are available at the following: https://www.mooc-list.com/tags/europe 

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Online learning material and resources used in connection with in-person/offline courses as additional source should be 
included. Major examples of such were added directly in the wording (e.g. audio-visual materials, electronic textbooks). 
Similarly, if an individual consults complementary online material (e.g. textbooks or worksheets) in specific educational 
website when the scope is learning is classified in option b).

Using online learning material as an activity conducted via the internet excludes downloading such material (paid for or for 
free use) for offline use at a later point of time.

Examples of online learning material can be found under the following links:

https://www.cned.fr/scolaire

https://intef.es/recursos-educativos/

https://epodreczniki.pl/

https://aoe.fi/#/etusivu

http://www.indire.it/progetti/attivi/

https://www.scoilnet.ie/

https://bildungsserver.berlin-brandenburg.de/

Webinar: “a seminar or other presentation that takes place on the internet, allowing participants in different locations to see and 
hear the presenter, ask questions, and sometimes answer polls.” (https://www.dictionary.com/browse/webinar). A webinar can be 
a piece of online learning material, it might be part of an online course or just an independent stand-alone resource.

c)  Communicating  with  educators  or  learners  using  audio  or  video  tools  (e.g.  Zoom,  MS  Teams,  Google  Classroom, 

[national examples], etc.)

As of 2022, the wording of the reply option has been adapted from “Communicating with instructors or students using 
educational websites/portals” to “Communicating with educators or learners using audio or video tools (e.g. Zoom, MS 
Teams, Google Classroom, [national examples], etc.”. The new wording was judged as more fit for purpose in the context 
of the practices introduced during the COVID-19 pandemics where online learning has become a standard not only for 
universities but also at all levels of the national education systems.

Any communication with teachers or other learners through dedicated educational websites or portals is meant. Interaction 
via communication platforms such as Zoom, MS Teams or Google Classroom is a typical example here, but other national 
examples might also be relevant and should be included in the national questionnaire, if judged necessary. The term 
learners include pupils, university students or course participants. Pages of educational organisations on Facebook are not 
included.

B5. What was the purpose of the learning activities you participated in the last 3 months? 

[Scope: individuals who used the internet in the last 3 months (i.e. 1st option in B1) and who ticked ‘yes’ to B4 a) or 
b) or c)]

[Type: multiple answers allowed, i.e. Tick all that apply]

a)  For formal education (e.g. school or university)

b)  For professional/work-related purposes

c)  For private purpose

2.3.3.3. MODULE C: USE OF EGOVERNMENT

 Æ Statistical unit: individuals

This module asks about contacts via the internet (via websites or apps) with public authorities or public services. Contacts through 
manually typed e-mails should be excluded.

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•  Contact or interaction with public authorities or public services includes using websites or apps in order to obtain 

information, exercise citizens’ rights or fulfil obligations in the following spheres:

•  Fiscal matters (e.g. tax declaration);

•  Notification of moving; 

•  Pensions, social benefits (e.g. child benefit, unemployment benefit);

•  Official documents, ID cards or certificates (e.g. ID card, passport, birth certificate);

•  Public educational services (e.g. public libraries, information on the enrolment and enrolment itself in day care centres, 

kindergartens, schools or universities);

•  Public health services (e.g. services of public hospitals or interactions with a private or semi-private operator offering health 
services in cases where such services were contracted to the private or semi-private operators by the State, using e-health 
apps developed by the government).

•  E-post services (e.g. delivery of official communications/documents over the internet)

Contact or interaction with public authorities or public services over the internet is done normally via websites or apps provided 
by these entities. Public authorities’ websites include local or central government offering information or services. It would be 
helpful to provide a list of local/central government websites in the format of a showcard to facilitate respondents to recall public 
authority websites that they have used. 

The service providers can be at national or regional level, but also at the level of cities or municipalities. The service providers can 
also be semi-governmental or private entities as long as the service offered was contracted by the State (i.e. in some Member 
States public health services or education/schooling services can be offered on behalf of the State by private or semi-private 
enterprises, i.e. the State contracts these services to them). Those cases should also be included under the scope of the question.

The contact or interaction should be direct i.e. the respondent should contact the public authorities or services directly by himself/
herself not via another person. Contact via manually typed e-mails is excluded.

The egovernment module has been revised as of 2022. The structure proposed below aims at investigating the uptake of different 
types of contact and interaction with egovernment services from more basic services to more advanced ones.

C1: Have you performed any of the following activities via a website or app of public 
authorities or public services for private purpose in the last 12 months?

[Scope: individuals who used the internet in the last 12 months (i.e. 1st and 2nd options in B1)]

[Type: multiple answers allowed, i.e. Tick all that apply or d)]

a)  Accessed information stored about you by public authorities or public services (e.g. information regarding [pension], [health 

[including government health application]], [national examples])

The reply option takes stock of the respondent’s use of publicly accessible repositories or databases and their use, where 
they exist. It targets the use of repositories where the respondent can find information about himself/herself.

The respondents can trigger the action of accessing and retrieving personal records online for various reasons, including 
for either continuing other procedures or archiving purposes. Examples of services of this type are: checking one’s health 
insurance status, personal car history, looking for information about one’s property in cadastral register, checking one’s 
pension or employment status, checking for outstanding fines, checking your library account e.g. to know when to return 
borrowed books, checking your account in university information system to obtain information about yourself etc.

The terms “pension”, “health”, “government health application” have been included in square brackets [], as they should be 
included in the wording of the reply option only in countries where the mentioned systems are part of public government 
sphere. If in a country health or pension services are privatised and cannot be classified as part of e-government, those 
examples should be omitted.

Other examples of accessing personal records, relevant at national level might be added to the reply option.

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b)  Accessed  information  from  public  databases  or  registers  (e.g.  information  about  availability  of  books  in  public  libraries, 

cadastral registers, enterprise registers)

This item concerns access to publicly available information in electronic databases and registers maintained by public 
administrations (“base registers”). These could be: insolvency, enterprise, land (soil pollution), cadastral registers; registers 
of certified individuals (translators, mediators, experts, authorised operators, etc.), registers of dangerous products, etc. The 
exact scope of the information is often non-uniform and what is publicly available depends on the Member States. 

c)  Obtained information (e.g. about services, benefits, entitlements, laws, opening hours)

This reply option includes activities such as searching to obtain any type of information from public authorities or public 
services through websites or apps. Examples of information that the respondent might look for are: information about 
services offered, about benefits that might be obtained, entitlements, laws, opening hours, contacts etc. In time of 
pandemic any search of information about Covid-19 (e.g. signs of the disease, testing, vaccination) on public authorities’ 
websites is in scope of the question.

d) Have not performed any of the mentioned activities

This reply option should be chosen if the respondent has not performed any of the activities mentioned previously 
in question C1.

C2: Have you downloaded/printed any official forms from a website or app of public 
authorities or public services for private purpose in the last 12 months?

[Scope: individuals who used the internet in the last 12 months (i.e. 1st and 2nd options in B1)]

[Type: one single answer needed, i.e. Tick only one; binary (Yes/No)]

The  scope  of  this  variable  does  not  change  as  compared  with  the  2021  data  collection  (question  C1  b)).  The  item  includes 
downloading  official  forms  from  public  authorities’  and  services’  websites  for  any  purpose  of  use  (e.g.  for  information  or  for 
requesting a service). The downloaded files could be in formats such as PDF or Microsoft Word. 

This includes also the downloading of health certificate(s) for example, test results, Covid-19 vaccination, or gained immunity 
results.

C3: Have you made any appointment or reservation via a website or app with public 
authorities or public services (e.g. reservation of a book in a public library, appointment with a 
government servant or a state healthcare provider) for private purpose in the last 12 months?

[Scope: individuals who used the internet in the last 12 months (i.e. 1st and 2nd options in B1)]

[Type: one single answer needed, i.e. Tick only one; binary (Yes/No)]

This reply option should be ticked if the respondent has made any appointment or reservation via a website or app of public 
authorities or public services for private purpose in the 12 months prior to the survey. Examples of such appointments could 
be: reservation of a book in a public library, appointment with a government servant, a doctor, a vaccination appointment (e.g. 
against Covid-19, flu etc.) made online, an appointment for a Covid-19 test made online etc.

C4: Have you received any official communication/document by public authorities via your 
account on a website or app [name of the service – if applicable in the country] of public 
authorities or services (e.g. notification of fines or invoices, letters, service of court summons, 
court documents, [national examples]) for private purpose in the last 12 months? (optional)

[Scope: individuals who used the internet in the last 12 months (i.e. 1st and 2nd options in B1)]

[Type: one single answer needed, i.e. Tick only one; binary (Yes/No)]

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This  reply  option  encompasses  e-government  services  allowing  citizens  to  receive  administrative  and  legal  information 
digitally – government or municipal notifications, tax statements, social security documents, court summons or decisions. The 
communication is done electronically in a secure manner through dedicated public authorities website (system, portal) or an app 
requiring user identification, instead of receiving the communication by regular (registered) mail. It can be e.g. a digital postbox 
(or an sms service) where local or central government offices or authorities are able to send administrative or legal information 
digitally. 

Examples  of  official  communication/documents  could  be:  government  or  municipal  notifications,  receipts  of  tax  payments/
tax declaration or request of clarifications in relation to what has been declared, social security documents, notification of e.g. 
payment of social benefits, court summons or decisions, documents related to the citizens’ pension rights, delivery of criminal 
record  extract  or  civil  status  certificates  etc.  COVID-related  examples  include  notifications  and  reminders,  booking  of  test  or 
vaccination times, availability of test results.

Examples of such services can be accessed under the following links: 

https://www.belgium.be/fr/services_en_ligne/app_ebox_social_security

https://www.gov.pl/web/gov/zaloz-eskrzynke--odbieraj-w-domu-listy-polecone

https://www.e-boks.com/danmark/en/

https://www.laposte.fr/digiposte/tous-mes-documents-partout-et-tout-le-temps

https://www.poste.it/prodotti/ritiro-digitale.htm

There is a policy need to keep track of the development of such systems in the context of encouraging paperless communication, 
efficient and resilient government services and better access to justice – especially given the COVID-19 angle when many offices 
were closed and the regular postal delivery service was disrupted.

The scope of the variable excludes the usage of private mail or SMS based on notifications or messages to the citizen to inform 
that they have received a new post or a new document from a public authority.

Treatment of notifications regarding the Covid-19 test results:

The notifications can take 3 forms:

1.  The respondent  receives  an email/SMS saying  that  the  results  are  out,  and  that  they  should  consult  a  secured  webpage/
electronic  postbox/online  health  account.  The  respondent  has  to  perform  some  actions,  follow-up  and  identify  himself/
herself in a portal to get the results to know if the results of the test are positive or negative. In this case it is a simple notification, 
therefore not in scope. 

2.  The respondent received an email/SMS where the results are mentioned explicitly (positive or negative). This case should be 
classified as a communication, because it  provides a given service and specific outcome to respondents. Such a case would 
be considered in the scope of question C4, as no extra step is needed (i.e. the message has been delivered without the need 
to perform additional activities online). Similarly, cases where the email/SMS contains information that the respondent should 
continue with their quarantine or end it based on test results should be classified under the scope of C4.

3.  The respondent received an email/ SMS with their results, as attached document (more probably in an email form). This case 
would also be included in the scope of C4, as no extra step is needed from the respondent. The outcome was delivered. The 
service of communication was finalised. 

C5: Have you submitted your tax declaration via a website or app for private purpose in the 
last 12 months?

[Scope: individuals who used the internet in the last 12 months (i.e. 1st and 2nd options in B1)]

[Type: one single answer needed, i.e. Tick one]

This  question  aims  at  deriving  indicators  related  to  online  tax  declarations  submitted  by  individuals  for  private  purposes. 
Respondents should think about their income tax declaration. The reply options have been built in a way to include all possible 
solutions as regards online tax declaration systems in the different Member States. However, due to the differences between the 
tax systems in the Member States, if needed, the question can be adjusted at national level to account for all types of tax data 

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collection systems that are in place. The final data needs however to be transmitted according to the transmission format and the 
variable categories as defined in Commission Implementing Regulation (EU) 2021/1223 of 27 July 2021 specifying the technical 
items of the dataset, establishing the technical formats for transmission of information and specifying the detailed arrangements 
and  content  of  the  quality  reports  on  the  organisation  of    a  sample  survey  in  the  use  of  information  and  communication 
technologies domain for reference year 2022.  The reply options are as follows:

a)  Yes, I did it myself

This reply option encompasses cases where the respondent has actively submitted their tax declaration online. Those could 
be situations when the respondent has submitted their tax declaration via a website or app or filling-in a form or modifying 
a pre-filled form. Situation when the respondent has confirmed a pre-filled form fall as well under this reply option.

b)  No, it was done automatically (by the tax authority, employer or other authority)

In some countries, the tax declarations of the individuals are done directly by the tax authority or the employer without the 
need of any intervention on the side of the taxpayer. Those situations, when the tax declaration is made in an automated 
way, without the need of any intervention from the taxpayer, should be classified here. Citizens may receive their tax 
declaration electronically or in paper form. If the service is not available in a Member State, the reply option can be omitted 
from the national questionnaire.

c)  No, I delivered it to the tax authority in paper format

This reply option encompasses cases where the submission of the tax declaration has not taken place online but physically, 
in paper format.

d) No, someone else did it on my behalf (e.g. family member, tax adviser)

The submission of an individual’s tax declaration is sometimes made by a third party. This could be a tax adviser, a family 
member or a relative. This happens often in situations where the complexity of the tax system renders it difficult for the 
individual to make the tax declaration on their own. In such cases this reply option should be chosen.

e)  No for other reasons (e.g. not subject to income tax)

This reply option should be chosen if the individual has not submitted their tax declaration for any other reasons within the 
last 12 months prior to the survey for private purposes.

Special cases:

In cases where a tax declaration is done in an automated way by the tax authority, but the tax payer receives it in a paper form 
and possibly decides to correct it, the final outcome counts on how the declaration was introduced. If in the end the declaration 
was submitted electronically by the authority (and user did not introduce any changes), it will be classified under –reply C5 b). If 
the user decided to object it and made changes electronically, it is falling under scope of C5 a). If the user decided to fill it in paper 
and send it in paper to tax authorities then, it should be classified under option C5c).

C6: Have you performed any of the following activities via a website or app of public 
authorities or public services for private purpose in the last 12 months?

[Scope: individuals who used the internet in the last 12 months (i.e. 1st and 2nd options in B1)]

[Type: multiple answers allowed, i.e. Tick all that apply]

This question aims at deriving a set of additional indicators for monitoring the level of maturity of e-government services in a 
Member State. The examples in each reply option have been chosen in a way to mirror the most frequently used procedures, 
which in a mature e-government system would have been feasible online, instead of having to go to public authorities/services 
premises. 

The reply options are as follows:

a)  Requested official documents or certificates (e.g. graduation, birth, marriage, divorce, death, residence certificates, police or 

criminal records, [national examples])

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b)  Requested  benefits  or  entitlements  (e.g.  pension,  unemployment,  child  allowance,  enrolment  in  schools,  universities, 

[national examples])

c)  Made other requests, claims or complaints (e.g. report theft to the police, launch a legal complaint, request legal aid, initiate 

a civil claim procedure in front of a court, [national examples])

For each reply option, relevant national examples might be added in the wording of the question.

C7: What were the reasons for not requesting any official documents or not making any claims 
via a website or app of public authorities or public services in the last 12 months?

[Scope: individuals who used the internet in the last 12 months (i.e. 1st and 2nd options in B1)]

[Type: multiple answers allowed, i.e. Tick all that apply or a)]

The reply options are as follows:

a)  I did not have to request any documents or to make any claims

b)  Lack of skills or knowledge (e.g. did not know how to use website/app or it was too complicated to use)

This category applies if the user did not know how to use the service and did not try it or tried but was not able to perform 
the activity. The potential results could reveal needs for improving the digital skills of the population.

c)  Concerns about the security of personal data or unwillingness to pay online (credit card fraud)

This refers to e.g. worries about giving personal details over the internet, e.g. names, addresses, but also private financial 
information.

d) Lack of electronic signature, activated electronic identification (e-ID) or any other tool to use the eID (required for using the 

services) [national examples] (optional)

The Electronic signature (e-Signature) referred to in this reply option, refers to the use of electronic signatures as defined in 
Article 3 (10), 3 (11) and 3 (12) of Regulation 910/2014 (the eIDAS regulation).

In practical terms, this relates to situations where a particular public service is only usable if the citizen has at their disposal means 
to apply an electronic signature accepted further to national law. For example, requesting a certificate or making a claim could 
only be made possible if the individual signs by way of a qualified electronic signature (which has the automatic legal effect 
of a handwritten signature - Article 25 (2) of eIDAS). On the other hand, in many Member States the means of generating such 
signatures is subject to payment to a private market operator and certain administrative formalities, which limits the audience of 
these services’ potential users.

The Electronic identification (e-ID) referred to in this reply option, refers to the use of means identifying a natural or legal 
person as defined in Articles 3 (1) and 3 (2) of Regulation 910/2014 (the eIDAS regulation).

In practice that refers to any national scheme, either public or private, which restricts access to a particular functionality 
or feature of a public service to a subset of users. Access to such services is therefore available only to those users who 
can  successfully  authenticate  by  way  of  an  electronic  identification  (e.g.  a  digital  certificate  provided  on  a  smartcard, 
government issued credentials or other means of electronic authentication)

To ease the understanding of this reply option by respondents, it is recommended to refer to national examples.

e)  Another person did it on my behalf (e.g. consultant, adviser, relative)

The reason for not requesting any documents or to make any claims could be that other persons did it on behalf of the 
respondent. One should also consider that, for example, a parent may be required to enrol a child younger than 18 years to 
higher than the current level of education or relatives may submit social benefit claims on behalf of a disabled parent. 

f)  Other reason

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C8: Have you encountered any of the following issues when using a website or app of public 
authorities or public services in the last 12 months?

[Scope: individuals who used the internet in the last 12 months (i.e. 1st and 2nd options in B1)]

[Type: multiple answers allowed, i.e. Tick all that apply or g)]

This question investigates the potential problems that the respondent might have encountered when using websites or apps of 
public authorities or services in the 12 months prior to the survey. The reply options are as follows:

a)  Website or app was difficult to use (e.g. it was not user-friendly, the wording was not clear, procedure was not well explained)

This reply option should be chosen if the respondent found the website or app difficult to use. This could include cases 
where the website or app was designed in a way which made it difficult to understand and follow (it was not user-friendly), 
the information was difficult to find, the wording used was not clear or the procedure was not well explained.

b)  Technical problems experienced when using website or app (e.g. long loading, website crashed)

This reply option encompasses cases where technical problems were experienced during the use of the public website or 
app. Those could be cases where the pages were loaded for too long or could not be accessed at all, the website crashed, 
the procedure followed was aborted for any reason independent of the respondent’s will etc. Cases were the respondent 
experienced difficulties in downloading and activating the software necessary to use the service/execute the procedure 
should also be reported here.

c)  Problems in using the electronic signature or electronic identification (eID) (optional)

This reply option should be chosen if the respondent has experienced any problems in using the electronic signature or 
electronic identification when accessing an e-government service. Problems with the activation of the eID (problems with 
the access to the hardware and software required for using the electronic signature or electronic identification should also 
be reported here.

The Electronic identification (e-ID) referred to in this reply option, refers to the use of means identifying a natural or legal 
person as defined in Articles 3 (1) and 3 (2) of Regulation 910/2014 (the eIDAS regulation).

d) Not able to pay via the website or app (e.g. due to lack of access to the payment methods required) (optional)

This reply option should be ticked if the respondent has experienced any difficulties in finalising the procedure due to lack 
of access to the payment methods required. For example: in case a credit card payment was required, which the respondent 
did not possess; - the possessed card was not accepted; - the finalisation of the service required a specific credit card type; 
-geo-blocking prevented the respondent from paying from a given country etc.

e)  Not able to access the service on smartphone or tablet (e.g. non compatible device version or non-available applications)

This reply option has been added, as the study of barriers to the development of mobile government (m-government) 
services is among the policy priorities. This reply option should therefore be ticked if the respondent could not access a 
service because a version of the service accessible on a mobile phone, smartphone or tablet has not been available. 

f)  Other issue

g)  I have not encountered any issues

2.3.3.4. MODULE D: USE OF E-COMMERCE

 Æ Statistical unit: individuals

The following questions concern the purchase of goods or services over the internet (e-commerce, e-shopping) for private use 
via any device (desktop, portable, tablet computer, including mobile phone) from enterprises (e.g. stores, travel agencies) and 
private individuals. Purchases refer to ordering goods or services for which payment is required, but the payment does not have 
to be done online. 

As of 2020, several changes have been proposed to the module following the recommendations of the project “development and 
pretesting of the ICT questionnaires” which was run by a consortium of seven National Statistical Institutes.  Following the final 
report for work package 5 (WP5) “Improving, designing and testing questions on e-commerce, e-mediaries and sharing economy 

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for the ICT Household survey”, the reference period in the module has been shortened to 3 months in all questions starting from 
D2. 

Orders via manually typed e-mails, SMS or MMS should be excluded. Orders via websites or apps should be considered.

Following the recommendations of the pre-testing project WP5, changes have been brought to the introduction to the module. 
While  the  introduction  presented  in  the  EU  model  questionnaire  has  been  shortened,  it  can  be  extended  with  additional 
information at national level, if judged necessary. The introduction refers now to the fact that the scope of the module includes 
not  only  the  purchases  from  corporate  entities  but  also  from  private  persons  in  online  marketplaces  (e.g.  Airbnb,  Facebook 
Marketplace, [national examples]).

An online marketplace is an internet platform, where individuals sell, borrow, swap or give goods, services or other resources. 

The online marketplaces operate on websites and as apps. Characteristics of online marketplaces vary and so does their level of 
sophistication. Normally they require registration from both individuals selling and individuals buying. The platforms can have 
functionalities like e.g. payment transfer or reviews of sellers and buyers.

On some online marketplaces it is possible to give/get goods and services also for free, which is not included under the scope of 
questions in this module. This is a change as compared with surveys from years 2017-2019, when exchange for free was also under 
the scope of the collaborative economy questions included in module B.

D1: When did you last buy or order goods or services for private use over the internet?

[Scope: individuals who already used the internet in the last 12 months, i.e. 1st or 2nd option in B1]

[Type: one single answer needed, i.e. Tick only one; filter question]

This question refers to the last time the respondent bought any good or service online using a website or an app.

As for all internet related questions, internet activities including e-commerce may be performed on any of the following activities 
enabling device: desktop computer, portable or tablet computer or mobile phone.

Purchases must be done on a website or with an app that has at least some characteristics and functionalities of a web shop. The 
products and services should be displayed on the website/app and customers should make selection there. Customers provide 
information about themselves and information provided is given there.

Purchases via SMS or MMS should be excluded since they do not make use of the internet via web browsers or web apps but 
mobile telephone networks. E-mail is internet-related, but should be excluded, because it has no characteristics of a web shop.

Mere payment activities (e.g. for transport tickets) for which no ordering process on a web-shop is involved should not be counted 
(for example payment via internet banking for a service ordered off-line, payment with mobile payment apps, digital valets etc.).

Purchases  of  financial  products  and  services,  such  as  insurance,  investment  products  (e.g.  shares),  should  be  included  in  this 
question. 

E-commerce transactions include confirmed reservations for accommodation and other services.  

Participation online in lotteries and in betting is included. 

This question also applies to purchases that are made via internet auctions, such as “eBay”.

Buying used or new goods as well services from private persons is included if it meets the definition of buying over the internet 
given in this manual. This means that buying has to be binding, payment is required and buying is done with a service on web 
with an app of e.g. online auction or collaborative economy platform (e.g. AirBnB). 

Only individuals that actually placed the order over the internet should answer this question, even if the order was carried out on 
somebody else’s behalf. Therefore, individuals that had other people ordering for them should not be included. For the time of 
the transaction, the date when the goods or services were ordered is relevant, not the date of delivery or payment.

Goods and services that were obtained via the internet for free should be excluded. Such goods are e.g. free software (“freeware”) 
and free apps, reservations in restaurants or any kind of information obtained via internet for free (such as downloading pdf-files). 
Software that can be downloaded from the internet and used for free for a certain period but loses functionality after this time 

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should only be counted as a purchase when the product is finally paid for. Also, free versions of online streaming and on-demand 
services of music, video, film, game and other content are excluded. Only payable versions of these services should be included.

Orders that are placed as part of work should be excluded. Purchases related to profession but not done as part of work are 
included, e.g. subscriptions of books and magazines related to one’s profession.

D2: Did you buy any of the following goods via a website or app for private use in the last 3 
months? Include online purchases from enterprises or private persons, including used goods.

[Scope: individuals who already used the internet in the last 12 months, i.e. 1st or 2nd option in B1, and who bought/
ordered over the internet in the last 3 months, i.e. 1st option (Within the last 3 months) in D1]

[Type: multiple answers allowed, i.e. Tick all that apply]

Attention:  reference  period  within  module  changed  because  of  recall  effects.  Inclusion  of  the  question  in  national 
(mailed in paper) questionnaire may need to add item like “not applicable, I did not order or buy in the last 3 months”.

“Buying goods” in this context means buying physical goods, in other words everything else except services or 
digital products delivered or used via the internet. Buying from private persons is included in all items except in 
items k) l) m) and n).

a)  Clothes (including sport clothing), shoes or accessories (e.g. bags, jewellery)

Self-explanatory.

b)  Sport goods (excluding sport clothing)

Clothing should be excluded, however, very specific clothes and shoes (e.g. shoes for skiing) should be included in this 
category. 

c)  Children toys or childcare items (e.g. nappies, bottles, baby strollers)

This item includes the purchase of children toys or childcare items such as nappies, bottles, baby strollers. Medicine for 
children should NOT be included here, but rather under item j) (Medicine or other dietary supplements such as vitamins). 
Food for children should NOT be included here but rather under items k) or l), depending on the type of food ordered. 
Clothing for children should not be included here but rather under item a) Clothes, shoes or accessories.

d) Furniture, home accessories (e.g. carpets curtains) or gardening products (e.g. tools, plants)

Self-explanatory.

e)  Music as CDs, vinyls etc.

This item encompasses music bought on a physical support only. The purchase of music in a digital form (as subscriptions to 
an online service or as files to be downloaded) is NOT included under the scope of this question.

f)  Films or series as DVDs, Blu-ray etc.

This item encompasses films or other video content bought on a physical support only. The purchase of films or series in 
a digital form (as subscriptions to an online service or as files to be downloaded) is NOT included under the scope of this 
question.

g)  Printed books, magazines, newspapers

This item encompasses the purchase of books, magazines or newspapers on a physical support only (printed on paper). 
Included are both purchases of individual magazine/newspaper and subscription of magazines/newspapers which are 
regularly delivered into the respondent’s mailbox. The purchase of e-books or online subscriptions to newspapers or 
magazines is NOT included under the scope of this question.

Subscriptions which include both a paper copy and online version of e.g. a newspaper should be classified both under item 
D2 g) and D5 c) 

h)  Computers, tablets, mobile phones or accessories

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Accessories to computers, tablets or mobile phones include firstly devices that can be connected to computers, tablets or 
mobile phones (e.g. printers, modems, separate displays, flash drives, external drives and keyboards) and also spare parts e.g. 
RAM memory for computers. Also smaller accessories such as power cables, phone cases or headphones are included under 
the scope of this reply option.

i)  Consumer electronics (e.g. TV sets, stereos, cameras, sound bars or smart speakers, virtual assistants) or household appliances 

(e.g. washing machines)

Self-explanatory.

j)  Medicine or dietary supplements such as vitamins (online renewals of prescriptions is not included)

This item encompasses medicine and dietary supplements such as vitamins, proteins and other supplements for workout. 
Online renewals of prescriptions are not included. E-cigarettes should NOT be classified here.

k)  Deliveries from restaurants, fast-food chains, catering services

Includes meals (e.g. pizza, sushi) ordered online from a restaurant and delivered to the customer or picked up by the 
customer from a restaurant as take-away. Includes ordering directly from restaurants and ordering from restaurants via a 
service that transmits the order and the payment and delivers the meal to the customer (e.g. Uber Eats, Foodora and Wolt). 
These services deliver meals from several restaurants.

l)  Food or beverages from stores or from meal-kits providers

This reply option encompasses purchases of food and beverages made online both from online and offline stores. This 
includes all kind of stores (e.g. supermarkets, smaller shops etc.). What substantially differentiates this reply option from the 
previous one is the fact that the products bought consist mainly of primary (or partially treated) ingredients and not ready-
to-eat meals.

The products ordered in such a way can be either delivered directly to the customer, or recuperated at any other location 
(for example at the store, as a drive-in service etc.). Online purchases from intermediary platforms offering products of 
different food or beverages providers are also in the scope. So are the deliveries from meal-kits providers. Those are online 
platforms who deliver to the client pre-portioned or partially prepared ingredients and recipes to prepare meals (ex. 
HelloFresh).

Food for pets is also included.

m)  Cosmetics, beauty or wellness products

Self-explanatory.

n)  Cleaning products or personal hygiene products (e.g. toothbrushes, handkerchiefs, washing detergents, cleaning cloths)

All cleaning and personal hygiene products are included under this reply option, e.g. toothbrushes, handkerchiefs, washing 
detergents, cleaning cloths, shampoos.

o)  Bicycles, mopeds, cars or other vehicles or their spare parts

Self-explanatory.

p)  Other physical goods

This reply option encompasses any other physical goods which are not in the scope of the previous reply options. Examples 
of such goods can be: tobacco products, e-cigarettes, Amazon vouchers etc.

D3: From whom did you buy the mentioned goods via a website or app in the last 3 months? 
Include online purchases from enterprises or private persons.

[Scope: individuals who already used internet in the last 12 months (a) or b) in B1) and who bought/ordered over the 
internet in the last 3 months, i.e. 1st option (Within the last 3 months) in D1 and if ‘yes’ to any item in question D2] 

[Type: multiple answers allowed, i.e. Tick all that apply]

Buying goods and services from other Member States contributes to the EU policy objectives of achieving a single European 
market and a single information space. The question is asking about the country of origin/residence of the seller. As of 2020, the 

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question is asked only for the origin of online purchased physical goods. The experience of previous years has revealed that it is 
often difficult for the respondent to establish the origin of the seller in the case of services or content. In case of purchases from 
private persons (collaborative economy platforms) the question concerns the origin of the person selling the good, not the origin 
of the platform used to do the transaction.

The reply options are:

a)  National sellers

b)  Sellers from other EU countries

c)  Sellers from the rest of the world

d) Country of origin of sellers is not known

Multi-national enterprises should be treated as national sellers when it is known from the website that they are registered as 
an enterprise with an address in  the surveyed  country.  The  term  “national  sellers”  includes  the  trade  business  or  sales offices 
established in the country by foreign owners (development, production, other distribution may be located in the home country 
and/or globally). This  approach is more  feasible  and  relevant at  the  European  level  than  asking  about  websites  in  national or 
foreign language.

An example of c) Seller from the rest of the world can be Aliexpress, Wish, Joom or other Chinese, American or Russian online 
marketplaces.

If it happened to the respondent at least once in the last 3 months that he did not know the seller and his sales office address, 
item d) should be ticked.

D4: Did you buy any of the mentioned goods from private persons via a website or app (e.g. 
on eBay, Facebook Marketplace, [national examples])?

[Scope: individuals who already used the internet in the last 12 months, i.e. 1st or 2nd option  B1, and who bought/
ordered over the internet in the last 3 months, i.e. 1st (Within the last 3 months) option in D1 and if ‘yes’ to any item 
in question D2] 

[Type: one single answer needed, i.e. Tick only one, binary (Yes/No)]

This  question  is  addressed  to  respondents  who  have  purchased  at  least  one  item  mentioned  in  question  D2.  Its  purpose  is 
to know if the respondents have purchased any of the mentioned physical goods from private persons. In addition to online 
auctions (ex. eBay) or social networks (social networking services) the list of examples can also be extended at national level to 
relevant national examples of such online marketplaces.

D5: Did you buy or subscribe to any of the following via a website or app for private use in the 
last 3 months?

[Scope: individuals who already used the internet in the last 12 months, i.e. 1st or 2nd option in B1, and who bought/
ordered over the internet in the last 3 months, i.e. 1st (Within the last 3 months) option in D1]

[Type: multiple answers allowed, i.e. Tick all that apply]

This question aims at providing for information about the type of content purchased online, downloaded or accessed directly by 
the respondent from the websites rather than delivered by post. Renewals of subscriptions are also in the scope of this question.

Digitally delivered content include those products which can be stored on physical media or printed but are actually delivered 
over  the  internet  in  digitised  form  as  a  file  (and  thus  independently  of  those  physical  media).  Such  content  products  can  be 
screened or downloaded and stored on own devices. Depending on sales conditions, they may or may not be shared with others.

a)  Music as a streaming service or downloads

This item covers the purchases of music in a digital form only. Examples of such services are: Amazon Prime Music, Amazon 
Music Unlimited or Tidal. 

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However, some online music providers can offer both free of charge and payable services (Spotify Premium, YouTube 
(Premium) Music, Google Play Music, Apple Music). In such cases, adhering to those subscriptions is under the scope of this 
reply option, as long as the service has been obtained against a payment during the reference period of the survey. Other 
examples of services might be relevant at national level.

Adding examples of services to the questionnaire can be considered at national level to ease the respondent’s 
understanding of the reply option. 

Purchases of music in the form of CDs or vinyl are NOT under the scope of this reply option.

b)  Films or series as streaming service or downloads

This item covers the purchases of films or series or sports programmes in a digital form only. This covers both streaming 
services and downloads. Online film rentals are also under the scope of this reply option (e.g. Google Play rental service). 
Some online providers can offer both free of charge and payable services (e.g. by offering a first month of services free-off-
charge). In such cases, adhering to those subscriptions is under the scope of this reply option, as long as the continuation 
of the service has been obtained against a payment during the reference period of the survey. Examples of services under 
the scope of this reply option are: Netflix, Amazon Prime Video, HBO GO, Hulu, Apple TV+, Google Play Movies&TV. Other 
examples might be relevant at national level.

Adding examples of services to the questionnaire can be considered at national level to ease the respondent’s 
understanding of the reply option.

Purchases of films or series in the form of DVDs or Blu-ray are NOT under the scope of this reply option.

c)  E-books, online magazines or online newspapers

This option includes the delivery of publication made in digital form as files that are readable via desktop computers, 
laptops, tablets or smartphones or other dedicated electronic devices (e-reader). Audio books are also included.

It also refers to online magazines published on the internet and online newspapers (online version of a newspaper, either 
as a stand-alone publication or as the online version of a printed periodical). Some online publishers publish in multiple 
digital formats, that may include both HTML version that look like traditional web pages and Flash versions that appear more 
like traditional magazines with digital flipping of pages. Online magazines (online journals) representing matters of interest 
to specialists or societies for academic subjects, science, trade or industry are included in the scope. Only magazines and 
newspapers requiring a subscription fee are included in the scope.

Subscriptions which include both a paper copy and online version of e.g. a newspaper should be classified 
both under item D2 g) and D5 c). 

d) Games online or as downloads for smartphones, tablets, computers or consoles. 

This item covers both the purchases of games in the form of downloads as well as in the form of streaming/online playing. 
It is to be noted that it covers the purchases of games for all sorts of supporting hardware: smartphones, tablets, computers, 
consoles etc. 

e)  Computer or other software as downloads including upgrades

This item covers downloads of all kind of computer software. It covers also computer software or upgrades for smartphones, 
tablets or other electronic equipment which can be downloaded from the internet.

f)  Apps related to health or fitness (excluding free apps)

In-app purchases or upgrades to apps should also be classified here.

g)  Other apps (e.g. related to learning languages, travelling, weather) (excluding free apps)

This item covers all other apps bought over the internet. In-app purchases or upgrades to apps should also be classified 
here.

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D6: Did you buy any of the following via a website or app for private use in the last 3 months?

[Scope: individuals who already used the internet in the last 12 months, i.e. 1st or 2nd option in B1, and who bought/
ordered over the internet in the last 3 months, i.e. 1st (Within the last 3 months) option in D1]

[Type: multiple answers allowed, i.e. Tick all that apply]

This  question  aims  at  getting  information  about  the  type  of  online  services  bought  by  the  respondent  in  the  last  3  months. 
Renewals of subscriptions are also in the scope.

a)  Tickets to sports events

Self-explanatory.

b)  Tickets to cultural or other events (cinema, concerts, fairs etc.)

This item includes the purchase of tickets to cultural or other events (cinema, concerts, fairs etc.). The online purchases of 
tickets to museums should also be classified here.

c)  Subscriptions to the internet or mobile phone connections

Self-explanatory.

d) Subscriptions to electricity, water or heating supply, waste disposal or similar services

Self-explanatory.

e)  Household  services  (e.g.  cleaning,  babysitting,  repair  work,  gardening)  (also  when  bought  from  private  persons  via  e.g. 

Facebook Marketplace, [national examples])

The reply option aims at identifying whether the respondent has bought any household services online. Those could be 
purchased from enterprises providing for workforce to deliver household services, online platforms or private persons 
offering their services. Households services obtained online from all those providers are in the scope of this reply option.

It can be considered to add relevant national examples of most frequently used online marketplaces used to search for 
household services.

D7: Did you buy any of the mentioned household services via a website or app from private 
persons (e.g. on Facebook Marketplace, [national examples])?

[Scope: individuals who already used the internet in the last 12 months, i.e. 1st or 2nd option in B1, and who bought/
ordered over the internet in the last 3 months, i.e. 1st (Within the last 3 months) option in D1 and who ticked e) in 
question D6]

[Type: one single answer needed, i.e. Tick only one ; binary (Yes/No )]

This question aims at getting information on whether the household services bought by the respondent have been bought from 
a private person (collaborative economy). 

D8: Did you buy any transport service via a website or app for private use in the last 3 months 
from: 

[Scope: individuals who already used the internet in the last 12 months, i.e. 1st or 2nd option in B1, and who bought/
ordered over the internet in the last 3 months, i.e. 1st (Within the last 3 months) option in D1]

[Type: multiple answers allowed, i.e. Tick all that apply]

a)  A transport enterprise e.g. local bus, train, flight ticket, taxi ride (e.g. [national examples], UBER)

This reply option covers all types of transport services bought online from public or private service providers: tickets for local 
or long distance transports by any transport mean (bus, train, ferry, airplane, taxi etc.). Taxi rides and UBER rides, wherever 
UBER operates on comparable grounds to a taxi service, are also in the scope (i.e. the UBER drivers need to have their activity 

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registered). Short-term rentals of vehicles or bikes are also in the scope, if the service provider is a corporate entity. Transport 
tickets bought from tour operators together with a holiday package are included. 

National examples of relevant transport services can be added to the questionnaire in order to facilitate the respondent’s 
understanding of the reply option. The examples of UBER can be added in those countries where the regime for UBER 
foresees that drivers working for the platform need to have their activity registered and pay value added tax (‘VAT’) (that 
means UBER cannot be classified as a case of collaborative economy transaction).

b)  A private person (e.g. [national examples])

The scope of this reply option is to cover transport services within the so called collaborative economy. It encompasses only 
those services which were performed against a payment by a private person to another private person. This encompasses 
ride-hailing and ride-sharing transactions.

Most of the time, those type of services are being made possible via digital platforms or apps created for that purpose to 
enable private individuals to share access to transport services. These platforms act as intermediaries, bringing together 
individuals who have underutilized goods or services with individuals who would like to rent those services or goods.

Some examples of online platforms operating as facilitators of this type of services are: Blabla car, Wunder Carpool, Liftshare, 
InOneCar (service for private persons).

The sharing of drives for free is not under the scope of this question. As of 2020 only the collaborative economy transactions 
against a payment are in the scope of the measurement. The delivery of parcels is excluded from the scope of the question. 

National examples of relevant online platforms facilitating such transactions can be added in order to ease the respondent’s 
understanding of the reply option.

D9: Did you rent accommodation via website or app for private use in the last 3 months from:

[Scope: individuals who already used the internet in the last 12 months, i.e. 1st or 2nd option in B1, and who bought/
ordered over the internet in the last 3 months, i.e. 1st (Within the last 3 months) option in D1]

[Type: multiple answers allowed, i.e. Tick all that apply]

a)  Enterprises such as hotels or travel agencies

The scope of this reply option is to cover accommodation rentals for private purposes from enterprises. That includes not 
only hotels and travel agencies but also holiday accommodation bought from tour operators. Short-term accommodation 
rented online for private purposes, but not for holidays is also in the scope. 

b)  A private person (e.g. Airbnb, [national examples])

The scope of this reply option is to cover accommodation rentals within the so-called collaborative economy. It 
encompasses only those services which were performed against a payment by a private person to another private person. 

Most of the time, those type of services are being made possible via digital platforms or apps created for that purpose 
to enable private individuals to share access to accommodation rentals. These platforms act as intermediaries, bringing 
together individuals who have underutilized goods or services with individuals who would like to rent those services or 
goods.

The most known international example of such a platform is Airbnb.

As of 2020 only the collaborative economy transactions against a payment are in the scope of the measurement. 

National examples of relevant online platforms facilitating such transactions can be added in order to ease the respondent’s 
understanding of the reply option.

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D10: Did you buy any other services (excluding financial and insurance services) than those 
mentioned previously via a website or app for private use in the last 3 months? (optional)

[Scope: individuals who already used the internet in the last 12 months, i.e. 1st or 2nd option in B1, and who bought/
ordered over the internet in the last 3 months, i.e. 1st (Within the last 3 months) option in D1]

[Type: one single answer needed, i.e. Tick only one; binary (Yes/No )]

This reply option is optional. It covers any other type of content or services bought online. If need be, it can be asked on national 
level as an open-ended question.

All content and services bought online and not classified under any of the reply options listed previously, e.g. subscriptions to paid 
cloud services, purchases of e-learning material, services of a nutritionist, trainer, IT specialist, translator ordered via the internet, 
any kind of wellness and beauty treatment (e.g. hairdresser, pedicure, manicure), entrance to fitness (including group classes), 
entrance to swimming pool, entrance to zoo, photo services, etc.), participating in online betting and lottery.

D11: Did you carry out any of the following via a website or app for private purposes in the last 
3 months?

[Scope: individuals who already used the internet in the last 3 months, i.e. 1st option in B1, and who bought/ordered 
over the internet in the last 3 months, i.e. 1st (Within the last 3 months) option in D1]

 [Type: multiple answers allowed, i.e. Tick all that apply]

a)  Buy insurance policies, including travel insurance, also as a package together with e.g. a plane ticket

This category includes either the purchasing or renewing of existing insurance policies over the internet directly from 
insurers or via other financial services providers (for example insurance intermediaries). Those include both life and non-life 
insurance covers (for ex. motor vehicle liability, other motor insurance, medical expense insurance, fire and other damage to 
property insurance, general liability insurance, assistance etc.).

Insurances offered via another service/good provider (e.g. a bank, travel agency, airlines, stores) as an addition to a main 
service/good purchased (e.g. insurance of a bag offered with a plane ticket, travel insurance offered together with a plane 
ticket, means of payment insurance, insurance for a purchased household equipment) are included in the scope of this 
question.

The reply option includes not only situations whereby the respondent is the policyholder, but also schemes whereby the 
respondent just adheres to a group insurance contract online.

Subscribing/adhering to contracts combining characteristics of an insurance and an investment activity such as Unit-linked 
Insurance Plans or Index-lined Insurance should NOT be included under this reply option, but under the reply option c) as an 
investment activity.

The reply option covers only purchases done for private use.

b)  Take a loan, mortgage or arrange credit from banks or other financial providers

This includes the taking of a loan or mortgage or credit through the banking channels and out of them over the internet. 

Article 3 (c) of Directive 2008/48/EC of 23 April 2008 on credit agreements for consumers defines a credit agreement as “an 
agreement whereby a creditor grants or promises to grant to a consumer credit in the form of a deferred payment, loan or 
other similar financial accommodation, except for agreements for the provision on a continuing basis of services or for the 
supply of goods of the same kind, where the consumer pays for such services or goods for the duration of their provision 
by means of instalments”. A consumer can take a credit for a number of purposes, such as buying a car, home furniture, a 
smartphone or paying utility bills or student fees.

Loans from private persons are excluded from the scope of this option as the question refers to bank or financial service 
providers. Platforms which act as intermediaries for borrowing and lending money among private individuals should be 
excluded. 

However, those should be distinguished from websites of financial intermediaries or banks which are included under the 
scope of this question (for example websites of entities such as Cofidis, Cetelem, Cofinoga etc.)

c)  Buying or selling shares, bonds, funds or other financial assets

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This category includes either the purchasing over the internet of investment products from personal financial services 
providers (the ones with whom there are already existing relations) or from other financial services suppliers.

As regard to “funds” what is meant here is investing and disinvesting into investment or retirement funds.

Subscribing/adhering to contracts combining characteristics of insurance and an investment activity such as Unit-linked 
Insurance Plans or Index-lined Insurance Plans should also be included under the scope of this reply option. 

Investments in crypto currencies should be considered under the scope of this reply option as other financial assets.

D13 includes carrying out financial activities on-line, meaning the initial action has to be performed online. In some cases 
when an individual initiates the purchase/order/renewal etc. of any of the financial services and goes through the whole 
procedure online, there may be situations, when in the end they will receive e.g. the insurance policy or credit contract and 
will be required to sign the document and send it back (by post or e-mail), it should be included in this question, as long as 
he started the whole procedure over the internet.

2.3.3.5. MODULE E: USE OF INTERNET OF THINGS

 Æ Statistical unit: individuals

This module includes a set of questions about the Internet of Things (‘IoT’)(7). Based on existing communication technologies like 
the internet, the IoT represents the next step towards digitalisation where all objects and people can be interconnected through 
communication  networks,  in  and  across  private,  public  and  industrial  spaces,  and  report  about  their  status  and/or  about  the 
status of the surrounding environment. 

In its scope, the module is limited to the individual’s use of IoT solutions in the private life context. It concerns mainly the uptake 
of home automation solutions (domotics), but also the use of wearable devices, e-health solutions or cars with built-in wireless 
connection. IoT solutions can be connected with e.g. other devices or systems via the internet (via mobile internet connections, 
WiFi) or via Bluetooth.

It needs to be highlighted that the use of smartphones, tablets, laptops or desktops is not the objective of the measurement 
performed in this module, when those devices serve to access the internet only and not to control an IoT device.

E1: Have you used any of the following internet-connected devices or systems for private 
purposes? 

[Scope: individuals who used the internet in the last 3 months, i.e. 1st option in B1]

[Type: multiple answers allowed, i.e. Tick all that apply or e)]

a)  Internet-connected thermostat, utility meter, lights, plug-ins or other internet-connected solutions for energy management 

for your home

This reply option encompasses the use (both remote and local) of internet-connected devices for energy management 
in the respondent’s home. Those solutions encompass the following internet-connected smart devices or systems: 
thermostats, utility meters, lights, plug-ins, energy panels, irrigation systems for the garden etc. Smart home solutions such 
as connected windows or window blinds integrated in a system aiming at optimising energy consumption are also in the 
scope of this reply option.

b)  Internet-connected home alarm system, smoke detector, security cameras, door locks or other internet-connected security/

safety solutions for your home

This reply option encompasses the use (both remote and local) of internet-connected devices ensuring the security/safety 
in the respondent’s home. Those include, inter alia, the following internet-connected smart devices/systems: home alarm 
systems, smoke detectors, security cameras, door locks, door bells, connected windows or stores, leak detectors, sensor 
floors etc.

c)  Internet-connected home appliances such as robot vacuums, fridges, ovens, coffee machines

(7)   The IERC/ITU official definition states that IoT is “A dynamic global network infrastructure with self-configuring capabilities based on standard and interoperable 
communication protocols where physical and virtual “things” have identities, physical attributes, and virtual personalities and use intelligent interfaces, and are 
seamlessly integrated into the information network.”. Available at: http://www.internet-of-things-research.eu/about_iot.htm 

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This reply option encompasses all kinds of big and small appliances which are connected to the internet. Both in-house 
appliances (e.g. connected robot vacuums, fridges, ovens, dishwashers, coffee machines, cooking robots, laundry machines) 
and equipment for the garden (e.g. connected lawn mowers) used in the respondent’s home are in the scope.

d) A virtual assistant in the form of a smart speaker or of an app, such as Google Home, Amazon Alexa/Echo/Computer, Google 

Assistant, Siri, Cortana, Bixby

A virtual assistant(8) (or an intelligent personal assistant) is a software that can perform tasks or services for an individual 
based on verbal commands. Some virtual assistants are able to interpret human speech and respond via synthetized voices. 
Users can also ask their assistants questions, control home automation devices and media playback via voice, and manage 
other basic tasks such as email, timers, alarms, to-do lists and calendars with verbal commands. 

Virtual assistants can be integrated into many supports. The use of the following is in the scope of this reply option:

•   Virtual assistants in the form of smart speakers such as Amazon Alexa/Echo/Computer, Google Home, Apple HomePod.
•  Virtual assistants built into a mobile or desktop operating system available in the form of an app (e.g. Siri, Blackberry Assistant, 

Cortana).

•  Virtual assistants built into a smartphone independently of the operating system (e.g. Bixby).
•  Virtual assistants built into appliances (e.g. smart TV), cars (e.g. Echo Auto), wearable technologies.
The use of virtual assistants being part of a smart living and entertainment platform offer by telecom providers, whereby the users 
can manage TradeCast (TC) content and smart home devices from one place, using voice commands, is also in the scope of this 
reply option.

The question investigates about the respondent’s use of virtual assistants both at home and outside home. What is in the scope is 
the use of those items that belong to the respondent (for virtual assistants, when being available on the respondent’s smartphone) 
or their household (for virtual assistants in the form of a smart speaker, used either at home or for ex. in the private car).

e)  I have not used any of the above

Self-explanatory.

E2: What were the reasons for not using any of the mentioned internet-connected devices or 
systems for private purposes? 

[Scope: individuals who used the internet in the last 3 months, i.e. 1st option in B1 and “Yes” to reply option e) in E1]

[Type: multiple answers allowed, i.e. Tick all that apply or a)]

Information about the barriers to uptake is important for policy makers to take informed decisions as regards the IoT development 
programmes.  The  questions  are  asked  to  those  respondents  who  have  never  used  any  internet-connected  or  smart  home 
solutions (for energy, security/safety management, home appliances) or virtual assistants.

a)  I didn’t know such devices or systems exist

Self-explanatory.

Respondents who are not aware of such devices or systems exist are directed to questions E3. Because they are not aware 
of their existence, they do not have the information how much such device or systems costs, how campatible they are with 
other devices etc.

b)  I had no need to use those internet-connected devices/systems

Self-explanatory.

c)  Costs too high

Self-explanatory.

d) Lack of compatibility with other devices or systems

(8)   https://en.wikipedia.org/wiki/Virtual_assistant 

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This reply option aims at investigating if any of the devices or systems mentioned in the previous question were not used 
by the respondent due to compatibility issues. It can indeed happen that a device/system introduced on the market will not 
be compatible with another home equipment already used by the respondent. This can be a barrier for the individuals to 
develop their smart home ecosystem.

e)  Lack of skills to use those devices or systems

Self-explanatory.

f)  Concerns about the privacy and protection of personal data about me generated by those devices or systems

The distinction in the scope of the three items (f, g, h) resides in the gravity of the harm made to the respondent (going from 
“data protection” breach to “safety issues” translated into physical harm/health problem).

Item f) is important for data protection policies, in relation to the General Data Protection Regulation but also potentially the 
ePrivacy legislation. It covers the issues related to data protection and data privacy.

g)  Concerns about security (e.g. that the device or system will be hacked)

Item g) is important because of the need for data on how respondents feel about security issues related to IoT (e.g. that the 
device can be hacked). The data “hacked” could be altered, causing in turn problems. However “security issues” are distinct 
from “safety issues”, as a security issue does not result in physical harm to the person or to other objects.

h)  Concerns about safety or health (e.g. that the use of the device or system could lead to an accident, injury or health problem)

Item h) safety and health issues: this item deals with concerns about the fact that the IoT device in question could cause 
“physical harm” to the individual or to another device. For instance, a hacked car could crash into a wall which would 
constitute a “safety issue”. As such devices, in the respondents perception, might become dangerous for reasons other than 
hacking, e.g. because the software is defective, there is no internet connection or the device itself may be harmful (e.g. 
because of exposure to electromagnetic fields which can potentially cause health problems). 

i)  Other reasons

Self-explanatory.

E3: Have you used the internet on any of the following devices in your home for private 
purposes? 

[Scope: individuals who used the internet in the last 3 months, i.e. 1st option in B1]

[Type: multiple answers allowed, i.e. Tick all that apply)]

a)  An internet-connected TV

The use of all types of internet connected TVs is in the scope, being a smart TV or other less advanced connected TV sets, 
including situations where a TV set has been connected to the network via a Chromecast.

b)  An internet-connected game console

The use of all types of internet-connected games consoles is in the scope (e.g. Wii U, PlayStation 4, Xbox One, Nintendo 
Switch).

Gaming on mobile phones, tablets or laptops is not in the scope of this reply option.

c)  An internet-connected home audio system, smart speakers

The use of all types of internet-connected home audio systems and smart speakers is in the scope, including basic speakers 
which can be connected via for ex. Bluetooth. 

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E4: Have you used any of the following internet-connected devices for private purposes? 

[Scope: individuals who used the internet in the last 3 months, i.e. 1st option in B1]

[Type: multiple answers allowed, i.e. Tick all that apply]

a)  A smart watch, a fitness band, connected goggles or headsets, safety-trackers, internet-connected accessories, internet-

connected clothes or shoes

This reply option investigates whether the respondent has ever used any of the internet-connected wearable smart devices 
available on the market. Those include:

Smart watches and fitness bands – a smart watch is a wearable computer in the form of a wristwatch. It provides for a local 
touchscreen interface for daily use, while an associated smartphone app provides for management and telemetry (such 
as long-term biomonitoring). Depending on the model, the device can have such functionalities as: digital time telling, 
function as portable media players, allow for biomonitoring, GPS location, ensure connectivity with other devices, function 
as a fitness tracker etc.

Apple Watch Series 1 to 6, FitBit, Fossil Q, LG Watch, Samsung Gear (different models), Sony Smart Watch are only some 
examples of brands of those wearable devices.

Connected goggles or headsets – this item covers all types of virtual reality (‘VR’) and augmented reality (AR) headsets and 
wireless headsets. Wireless headsets such as Galaxy Buds and Apple AirPods should also be included under this reply option.

Safety- trackers – Safety trackers are small devices with GPS location allowing tracking the position of someone or 
something. They can be used to locate for example children, elderly relatives of the respondent or the respondent’s 
belongings (for example a bag pack in case of a theft). They can also be used to locate pets. All case uses are in the scope of 
this reply option.

Internet-connected accessories, clothes or shoes – internet-connected accessories include such items as internet-connected 
jewellery (for example bracelets or rings having functionalities similar to that of a smart watch).

Smartphones can be sometimes understood as connected accessories. However, the use of smartphones or other small 
portable computers if not connected to another wearable device (or internet-connected piece of clothing) IS NOT under the 
scope of this reply option.

b)  Internet-connected devices for monitoring blood pressure, sugar level, body weight (e.g. smart scales) or other internet-

connected devices for health or medical care

This item deals with the use of internet-connected devices for health. Those include such solutions as internet-connected 
devices to monitor blood pressure, sugar level, body weight, ensure better re-education and other similar devices. Those 
devices would most of the time be connected to smartphone app of the users and send information which can be read 
out by a physician. The use of AI assisted humanoid robots to assist the elderly or disabled children should also be classified 
here. The use of connected toothbrushes should also be classified here.

c)  Toys connected to the internet, such as robot toys (including educational) or dolls

‘Connected toys’ typically contain a microphone and speaker, and an app to process the data. While it’s undeniable that 
these hi-tech gadgets can inject life into playtime, they can often cause huge issues in terms of protecting privacy.

The reasons for the inclusion of this reply option are policy concerns in relation to children safety in the context of use of IoT 
technologies. Some studies have shown that interactive dolls or robots can be easily hacked, making it possible for strangers 
to engage in “conversations” with children thanks to build-in microphones and speech recognition technologies.  

Consequently, the purpose of this reply option is to identify how prevalent the uptake of IoT devices for smaller children 
is in the EU level. The scope of the reply option is therefore narrowed to IoT toys for smaller children. The use of internet-
connected drones or tablets for kids with educational or gaming content is not under the scope of this reply option.

d) A car with built-in wireless internet connection

This item investigates if the respondent has ever used a car with built-in wireless connection for private purposes. In vehicles 
of this type connectivity should be broadly understood as based on: - Wi-Fi access for safety purposes; - Cellular access for 
safety and broader (e.g. navigation, infotainment) purposes. It allows such functions(9) as: 

(9)   https://en.wikipedia.org/wiki/Connected_car

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•  mobility management (e.g. current traffic information, parking lot of garage assistance, optimised fuel consumption);

•  commerce (purchases of goods and services while on-the-go);

•  vehicle management and safety (e.g. vehicle condition and service reminders, remote operation, transfer of usage data);

•  infotainment (e.g. smartphone interface, WLAN hotspot, music, video, internet, social media, mobile office);

•  driver assistance –partially or fully automatic driving;

•  solutions for fatigue detection ,automatic environment adjustments to keep drivers alert, medical assistance etc.

A car can be considered as connected if any of the above mentioned functions is accessible thanks to a system build-into the 
vehicle. In case a similar service has been accessed by connecting to a smartphone via Bluetooth and used on the smartphone 
itself, this is not under the scope of this reply option.

E5: Have you encountered any of the following problems with the mentioned internet-
connected devices or systems? 

[Scope: individuals who used the internet in the last 3 months, i.e. 1st option in B1]

[Type: multiple answers allowed, i.e. Tick all that apply or e)]

The  question  aims  at  investigating  the  main  types  of  problems  that  an  individual  might  encounter  when  using  the  internet-
connected devices or systems. The reply options are as follows: 

a)  Security or privacy concerns (e.g. the device or system was hacked, problems with the protection of information about me 

and my family generated by those devices or systems)

This reply option should be ticked if the respondent has encountered any problems related to privacy and protection 
of personal data or data security issues that they are aware of. Examples of such problems could be that the device was 
hacked, the respondent’s data has been stolen, someone else has taken the control of the device etc.

b)  Safety or health problems (e.g. the use of the device or system lead to an accident, injury or health problem)

Item b) safety or health problems should be ticked if the IoT devices used by the respondent caused any “physical harm” 
to the individual or to another device. For instance, a malfunction of the self-driving feature (autopilot), where primary 
driving functions are automated under some conditions, may cause the car to crash into an object or a pedestrian, which 
constitute a “safety problem”. Safety issues might also arise from the fact that drivers of a hacked connected vehicle can lose 
control over such functions as:  - cutting the engine; -enabling or disabling the immobilizer; - initiating or disabling brakes; - 
changing passwords; - disabling airbags.

Safety or health problems with IoT devices can also result from malfunctioning software (e.g. if a defective software of a 
health-monitoring device can result in the wrong treatment being administered) or loss of internet connection. Moreover, 
the use of the device itself may negatively affect physical or mental health of its users (e.g. resulting in psychological 
addiction). 

c)  Difficulties with using the device (e.g. setting-up, installing, connecting, pairing the device)

This reply option should be ticked if the respondent’s skills were not sufficient to effectively use the device, i.e. if the 
respondent experienced and problems with setting-up, installing, connecting or pairing the device.

d) Other problems (e.g. connection problems, support problems)

This reply option should be ticked in case the respondent experienced any other problems with the IoT devices or systems 
used.

e)  I have not encountered any problem

This reply option should be ticked if the respondent has not experienced any problems with the devices or systems used.

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2.3.3.6. MODULE F: GREEN ICT

The collection of indicators on Green ICT is necessary for the policies related to the European Green Deal. For the 2022 data 
collection, a limited number of indicators has been proposed, aiming at investigating mainly: - Information on recycling  habits 
of individuals/households regarding IT equipment not used anymore; - Information on the importance of sustainability aspects 
for purchasing decisions of IT equipment.

F1: What did you do with any of the following devices when you replaced or were no longer 
using them? 

[Scope: individuals who used the internet in the last 3 months, i.e. 1st option in B1]

[Type: Single answer, i.e. for each item tick one]

a) It is still kept 
in my household

b) It was sold 
or given away 

c) It was disposed 
of in electronic 
waste collection/
recycling (incl. 
leaving it to the 
retailer to dispose 
of)

d) It was 
disposed of 
but not in 
electronic 
waste 
collection/
recycling

f) Other

e)  It was 
never bought 
or is still in 
use

a) Mobile or 
smartphone
b) Laptop or 
tablet
c) Desktop 
computer

o

 o

o

o

o 

o 

o 

o 

o 

o

o 

o 

 o

o

o 

 o

o 

 o

This  question  investigates  the  respondent’s  practices  in  terms  of  dealing  with  ICT  equipment  that  they  no  longer  use.  Since 
devices can be used jointly or individually in a household, it is not always clear who owns a device. In addition, someone may have 
stopped using more than one device. Therefore, respondents are asked to think about the device for which they feel responsible 
and which became redundant most recently. Only one reply option should be chosen for each of the device types.

Under “b) It was sold or given away” respondents should include sales to other private persons via a website or app (e.g. on 
Facebook Marketplace, Ebay, [national examples]) and to enterprises including under a take-back scheme offered by manufacturer 
or seller where the buyer obtains discount when purchasing a new device.

F2: When you most recently bought a mobile or smartphone, tablet, laptop or desktop 
computer, which of the following characteristics did you consider important? (optional)

[Scope: individuals who used the internet in the last 3 months, i.e. 1st option in B1]

[Type: multiple answers allowed, i.e. Tick all that apply or g) or h)]

The  aim  of  the  question  is  to  determine  whether  ecological  aspects  (schemes  described  in  reply  options  c)  to  f)  play  a  role 
alongside other conventional aspects (such as price or characteristics like hard drive size or processor speed) when making a 
purchase decision for IT equipment. The reply options are as follows:

a)  Price

Self-explanatory

b)  Hard drive characteristics (storage, speed), processor speed

This reply option should be ticked if the respondent considered important the following characteristics when they most 
recently bought a device: storage (size of the hard drive or solid-state drive (‘SSD’), normally in GB-gigabytes or TB-
terabytes), speed (hard drive’s rpm or SSD’s speed). Processor (CPU) speed – normally in GHz (gigahertz).

c)  Ecodesign  of  the  device  e.g.  durable,  upgradable  and  reparable  designs  that  require  fewer  materials;  environmentally 

friendly materials used for packaging etc.

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Design upgradability aims to replace only those components that devalue the product over time. Therefore, it enhances 
product value and avoids whole product replacement, thereby realizing a sustainable society.

d) Possibility to extend the life span of the device by buying extra guarantee

Item should be ticked whether respondents have considered an extra guarantee or extended warranty option important 
when recently buying their device.

e)  Energy efficiency of the device

Self-explanatory

f)  A  take-back  scheme  offered  by  manufacturer  or  seller  (i.e.  the  manufacturer  or  seller  takes  the  device  which  becomes 

obsolete at no cost or offers discounts to the client to purchase another device)

This reply option should be ticked if the respondent thinks it is important that the seller has a take-back scheme. A take-back 
scheme is an initiative organized by the manufacturer/seller to collect used products or materials from customers. This is an 
initiative that can reintroduce the products to the original processing and manufacture cycle. This concept is also known as 
“upcycling”; where out-dated products get to be modified and are turned into new products. The take-back services can in 
the lack of up-cycling make sure the product is properly disposed. Take-back services can offer discount on new products 
when customers deliver their old products.  

g)  Have not considered any of the mentioned characteristics

Self-explanatory

h)  Never bought any of these devices

Self-explanatory

2.3.3.7. MODULE G: SOCIO-DEMOGRAPHIC BACKGROUND CHARACTERISTICS

[Scope: all households / all individuals]

[Type: 

•  One single answer needed i.e. Tick only one: G2, G5, G6, G7, G8, G9, G10, G14, G15, G19; 

•  Quantitative answer: G1(10), G16, G17, G18, G20; 

•  Open question, i.e. description needed (or coded by the interviewer): G3, G4, G11, G12, G13]

This module does not focus on ICT-related variables, but on background or core key social variables to put results on the ICT 
variables in perspective with other collections of European statistics on persons and households. Indeed, these social variables 
should enable to relate the outcome of the surveys to the sociologic, demographic and economic background of the observed 
statistical units. 

From the 2021 survey onwards, the socio-demographic background characteristics reflect the agreed core key social variables 
included in all Eurostat social surveys according to the IESS Framework Regulation, implemented by Commission Regulation (EU) 
2019/2181 on specifying technical characteristics as regards items common to several datasets pursuant to the IESS Framework 
Regulation.

For  an  overview  about  the  guidelines  concerning  all  characteristics  below,  please  consult  the  latest  Standardised  Key  Social 
Variables - Implementing Guidelines of Eurostat. 

In the model questionnaire, this module is inserted at the end of the survey. This was an arbitrary choice, the module can also be 
the starting point for the survey (in most cases, the information may partly be available from other sources, e.g. registers or the 
survey the ICT usage questions are embedded in).

(10)  For more details as regards this variable, please consult the following section.

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Questions on age (G1), gender (G2), country of birth (G3), country of main citizenship (G4), educational attainment (G5), employment 
situation ((G6), (G7), (G8), (G9), (G10)), occupation (G11), as well as disability (also referred to as Global Activity Limitation Indicator - 
GALI) (G19) are to be answered by the individual(s) who is (are) selected within the household.

Questions on residence area (G12 and G13), geographical location (G14) and degree of urbanisation (G15) refer to the household. 
But  the  answer  at  the  household  level  must  nevertheless  coincide  with  the  individual  level  as  the  individuals  belong  to  the 
concerned household. Generally, the latter two variables (G14 and G15) do not need to be addressed to the respondents as the 
NSI’s can derive this information from the household’s address.

Questions on household composition (G16 and G17) and household income (G18) of course refer to the household level.

2.3.3.7.1. DEMOGRAPHY

G1: Age in completed years

G1.

Age in completed years

Year of birth

Passing of birthday at the reference date 

Reference date(11)



Yes



No



(DD / MM / YYYY)

‘Age in completed years’ at the time (date) of the first interview is the age at the last birthday before the interview. 

From 2021 onwards, the variable ‘Age in completed years’ will be calculated by Eurostat on the basis of the following collected 
categories: 

•  ‘Year of birth’ of the person (4 digits);

•  ‘Passing of birthday’ at the reference date: has the person already had their birthday that year at the time of the interview? 

(yes/no)

•  ‘Reference date’ (DD/MM/YYYY). 

The reference date specific to the survey on the use of ICT in households and by individuals is the time of the first interview.

The categories ‘not stated’ or ‘not applicable’ are not allowed; each data record should contain information for all 3 categories 
abovementioned. 

In the absence of information, the information should be imputed into the data record by attributing the most plausible value. 

The quality reporting related to the variable ‘age in completed years’ should contain information on the number of records for 
which information on the age in completed years is imputed.

Reference question

In the case of asking for the passing of birthday at the time of the interview, the following questions are recommended: “What is 
your year of birth? Have you already had your birthday this year?”

G2: Sex

G2.

Sex

Male



Female



Only ‘Female’ and ‘Male’ are coded: there is no ‘inter-sexual’ category.

The variable ’Sex’ refers to the biological and physiological characteristics that define a person to be either ‘Female’ or ‘Male’. 
Therefore, in case of national law requiring a third category (e.g. Germany: ‘Diverse’), this kind of response needs to be re-coded 

(11)  The reference date is the time of the first interview (DD/MM/YYYY).

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in an adequate way to only ‘Female’ or ‘Male’ by using either the first name and other auxiliary variables such as information 
from administrative data, or the self-declared sex. Oral/written information given by the respondent can also be helpful, like the 
description of “their” professional activity.

In  case  the  biological  sex  of  a  person  is  not  known,  the  information  should  be  replaced  by  either  the  administrative  sex 
(administrative data) or the self-declared sex (survey data).

For data transmission to Eurostat the categories ‘not stated’ and ‘not applicable’ are not allowed for the variable ‘Sex’. During data 
collection additional categories deemed necessary at national level might be used but each data record valid for transmission 
must  contain  information  on  the  sex  of  the  person  to  whom  it  refers.  In  the  absence  of  this  information,  information  on  the 
variable should be imputed into the data record by attributing the most plausible value.

The quality reporting related to the variable ‘Sex’ should contain information on the number of records where the sex is imputed.

Reference question

Depending  on  the  data  collection  mode  or  information  being  available  from  administrative  sources  it  might  usually  not  be 
necessary to ask the respondents directly. In the case when this information needs to be asked directly to the respondents the 
recommended question is: “What is your sex?”

2.3.3.7.2. Citizenship and migrant background 

G3: Country of birth 

G3.

Country of birth 

 or other …………..………….

Country  of  usual  residence  of  the  individual’s  mother  at  the  time  of 
the  delivery,  according  to  the  current  national  boundaries  (and  not 
according to the boundaries in place at the time of birth) 

SCL  GEO  code(12)  or  “Foreign-born  but 
country of birth unknown”

The country of birth of an individual is defined as the country of usual residence (in its current boundaries) of the individual’s 
mother at the time of delivery.

Information on the country of birth is used to distinguish between native-born (born in the reporting country) and foreign-born 
(born in a country other than the reporting country) residents.

The individual’s country of birth should be coded according the list of countries defined in the Eurostat Standard Code List (SCL) 
GEO available here. 

Information on the country of birth should be obtained according to the current national boundaries and not according to the 
boundaries in place at the time of birth (entries such as Czechoslovakia, Yugoslavia etc. shall not be used for this variable).

More detailed information on the locality could be required if the boundaries of a country have changed. When data are collected 
by interview, the respondent can be asked additional questions. When data are derived from administrative registers, it is more 
difficult to ensure that the definition is followed. If detailed information on the mother’s place of usual residence exists in the 
register, the country of birth should be re-coded so that it is coded according to the current national borders.

Particular care is needed in cases where national boundaries have changed and/or where previously existing countries have split 
to form two or more new countries. As noted in the United Nations Economic Commission for Europe (‘UNECE’) 2020 census 
recommendations(13), a person should not be regarded as foreign-born (i.e. recorded as born in a country other than the reporting 
country) simply because the national boundaries of the country of birth have changed. The following important exception to the 
general rule of considering the current borders might exist: a person whose mother’s place of usual residence was, at the time of 
their birth, part of the person’s actual country of origin (e.g. as indicated by their citizenship or current place of usual residence) 
but is not any more due to changed borders. In this case the country of birth can exceptionally be enumerated at the boundaries 
at the time of birth.

(12)  The list of countries is defined according to the Eurostat Standard Code list (SCL) GEO: http://ec.europa.eu/eurostat/ramon/nomenclatures/index.cfm?TargetUrl=LST_

NOM_DTL&StrNom=CL_GEO&StrLanguageCode=EN&IntPcKey=&StrLayoutCode=HIERARCHIC (English version).

(13)  See paragraph 651 of the UNECE 2020 census recommendation available at the following: http://www.unece.org/stats/census.html 

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The country of birth of a person, who was born during the mother’s short-term visit to a country other than her country of usual 
residence, should be the country where the mother had her place of usual residence. Only if information on the place of usual 
residence of the mother at the time of the birth is not available, the place where the birth took place should be reported.

Reference question

In case the information is available from administrative sources it might not be necessary to ask the respondents directly. When 
this  information  needs  to  be  asked  to  the  respondents  the  recommended  question  is:  “In  which  country  were  you  born?”  In 
situations (e.g. specific countries or regions) where this question may not capture appropriately the information on the place of 
usual residence of the individual’s mother at the time of delivery, the following question should be asked: “Which was the country 
of usual residence of your mother at the time when you were born?”

G4: Country of main citizenship 

G4.

Country of main citizenship

 or other …………..………….

SCL  GEO  code4,  “Stateless”  or  “Foreign 
citizenship but country unknown”

The variable reports on the country of the person’s main citizenship. ‘Citizenship’ is defined as the particular legal bond between 
an individual and his or her State, acquired by birth or naturalisation, whether by declaration, choice, marriage or other means 
according to national legislation.

Information on the country of main citizenship is used to distinguish between national citizens (individuals having the citizenship 
of the reporting country), non-national citizens (individuals having the citizenship of a country other than the reporting country) 
and stateless persons.

A person with two or more citizenships shall be allocated to only one country of citizenship, to be determined in the following 
order of precedence:

1. 

If one of the person’s citizenship is the reporting country, it shall be recorded as the country of main citizenship;

2. 

3. 

4. 

If the person does not have the citizenship of the reporting country but one of another Member State, it shall be the recorded 
as the person’s main citizenship.

If the person does not have the citizenship of the reporting country but multiple citizenships of other Member States, the 
person may choose which of their EU citizenships is to be recorded;

If the person does not have the citizenship of any Member State, the person may choose which of their citizenships is to be 
recorded.

If the information on the person’s country of citizenship is not available (e.g. in case the information is obtained from administrative 
sources), the reporting country may determine which country of citizenship is to be allocated.

The person’s country of citizenship should be recorded according to the following categories:

•  Country of the main citizenship (according to the above stated rule and to the SCL GEO list(14));

•  Stateless;

•  Foreign citizenship but country unknown.

The category ‘country of main citizenship’ (SCL GEO code) may also be used for the transmission of information on ‘recognised 
non-citizens’. A recognized-non citizen is a person who is not a citizen of the reporting country nor of any other country, but who 
has established links to that country which include some but not all rights and obligations of full citizenship. A majority of these 
persons were citizens of the former Soviet Union living in the Baltic States who are permanently resident in these countries but 
have not acquired any other citizenship. Recognised non-citizens are not included in the number of European Union (EU) citizens.

Information on the country of main citizenship should be obtained in accordance with the current administrative status/legal 
situation of the individual.

(14)  The SCL geographical list is available at the following:  http://ec.europa.eu/eurostat/ramon/nomenclatures/index.cfm?TargetUrl=LST_NOM_DTL&StrNom=CL_

GEO&StrLanguageCode=EN&IntPcKey=&StrLayoutCode=HIERARCHIC

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If the information on the person’s country of citizenship is not available (e.g. in case the information is obtained from administrative 
sources), the reporting country may determine which country of citizenship is to be allocated.

The category ‘stateless’ corresponds to a person without recognized citizenship of a state. 

Reference question

In case the information is available from administrative sources it might not be necessary to ask the respondents directly. When 
this information needs to be asked to the respondents the recommended question is: “What is your citizenship?”

2.3.3.7.3. Education attainment and background

G5: Educational attainment level

G5. Educational attainment level 

(highest level of education successfully completed) according to the International 
Standard Classification of Education (‘ISCED’ 2011): 
(tick only one)

CODE to be 
transmitted

No formal education 
[ ISCED 0 ]

Primary education 
[ ISCED 1 ]

Lower secondary education                                                            
[ ISCED 2 ]

Upper secondary education                                                            
[ ISCED 3 ] 

Post-secondary non-tertiary education                                           
[ ISCED 4 ]

Short-cycle tertiary education                                                         
[ ISCED 5 ]

Bachelor’s or equivalent level                                                         
[ ISCED 6 ]

Master’s or equivalent level 
[ ISCED 7 ]

Doctoral or equivalent level 
[ ISCED 8 ]



















0

1

2

3

4

5

6

7

8

The  educational  attainment  level  of  an  individual  is  the  highest  level  of  education  successfully  completed,  the  successful 
completion of an educational programme being validated by a recognised qualification (or credential), i.e. a qualification officially 
recognized by the relevant national education authorities, or recognised as equivalent to another qualification of formal education.

The notion of level successfully completed must be associated with obtaining a certificate (or a diploma associated with a specific 
formal education). Eurostat recommends for all household surveys to use the “diploma approach” in the collection of data on 
educational attainment, e.g. to ask about the diploma obtained. In cases where there is no certification (e.g. in primary education), 
successful completion must be associated with full attendance or the acquired competences to access the upper level. Persons 
who  have  not  completed  their  studies  (dropped-out)  should  be  coded  according  to  the  highest  level  they  have  successfully 
completed. In this respect, educational attainment level corresponds to the highest level successfully completed in the ISCED 
classification ladder.

In order to obtain comparable information for the different countries, the levels of education have been classified by the UNESCO’s 
International Standard Classification of Education – from 2014 ISCED 2011 will be implemented in all EU surveys. 

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For  all  questions  related  to  the  measurement  of  educational  attainment,  more  detailed  information  and  advice,  the  joint 
publication of UNESCO Institute of Statistics, the OECD and Eurostat, ISCED 2011 Operational Manual (Guidelines for 
classifying national education programmes and related qualifications) should be consulted.

For the purpose of compliance with the core variables for Eurostat social surveys, information on the educational attainment 
level should be transmitted according to ISCED 2011 codes: 0, 1, 2, 3, 4, 5, 6, 7 and 8, as represented in the column in the far right 
of table G5.

The main tool to be used for the coding of educational attainment is the national ISCED integrated mapping (prepared in each 
country by education statisticians). This mapping classifies in ISCED all national educational programmes and formal qualifications 
(educational  attainment).  The  joint  Eurostat-OECD  guidelines  on  the  measurement  of  national  educational  attainment  in 
household surveys are available here.

In countries where education programmes, in particular those belonging to ISCED levels 1 and 2, do not lead to a qualification 
the criterion of full attendance of the programme and normally gaining access to a higher level of education may have to be used 
instead. 

When determining the highest level, both general and vocational education should be taken into consideration. If a person has 
successfully completed more than one programme at the same ISCED level, the most recent qualification should be reported (see 
ISCED 2011, § 87). Persons who have attended but not successfully completed a formal education programme should be coded 
according to the highest level of the formal programme that they have (previously) successfully completed.

Qualifications from “old” educational programmes (not existing anymore) should be classified on the basis of their characteristics 
at the time of completion. 

In cases where there is no certification (e.g. in primary education), successful completion must be associated with full attendance 
or the acquired competences to access the upper level. Persons who have not completed their studies (dropped-out) should be 
coded according to the highest level they have successfully completed.

All questions about implementation of ISCED in surveys may be addressed to the national ISCED coordinator who was nominated 
in each country to ensure coherence of the variable “educational attainment level” in different sources.

Reference question 

The “diploma approach” where respondents are asked about their diplomas instead of the level of education completed is highly 
recommended. For details on the “diploma approach” see the joint Eurostat-OECD guidelines on the measurement of educational 
attainment  in  household  surveys.  Alternatively,  the  question(s)  for  this  variable  should  be  phrased  by  countries  in  a  way  that 
the concept of educational attainment level (qualification officially recognised by the relevant national education authorities or 
recognised as equivalent to another qualification of formal education) is described as fully as possible. This can be achieved by 
listing the formal education programmes/qualifications (or categories thereof).

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2.3.3.7.4. Labour market participation 

Main activity status (Employment situation)

G6: Main activity status (self-defined)

G6.

Main activity status (self-defined)                                                                                                           
(tick only one)

Employed

Unemployed

Retired

Unable to work due to a long–standing health problems

Student, pupil (not in the labour force)

Fulfilling domestic tasks

Compulsory military or civilian service (if applicable)

Other 

















From  2021  onwards,  all  Social  Statistics  related  surveys  must  include  a  number  of  detailed  questions  to  assess  one  person’s 
employment situation or labour status. This variable refers to the respondent’s own perception of their current main activity 
status.

The activity status does not only refer to socially relevant categories categorising labour market participation, but also to categories 
of social status for persons for which employment is not the main activity. It does not apply criteria of a specific concept e.g. of 
labour market participation as defined by the International Labour Organisation (‘ILO’)(15).

One  person  can  observe  more  than  one  activity  status,  but  only  the  most  important  one  should  be  reported  (Concept  of 
“predominant status”). The main status refers to the ‘current situation’, i.e. the situation at the moment of the interview. It implies 
that any definitive changes in the activity situation are taken into account. For instance, if a person has lost a job or has retired 
recently, or the activity status has changed, then the situation as of the time of the interview should be reported.

The main activity is self-assessed by the respondent and the chosen category should appropriately describe how a person 
mainly perceives him or herself. The relevant categories to choose among are predefined in a list (see question statement above). 
The categories are logically not mutually exclusive and do not have a hierarchical order. 

Results are very sensitive to the way of implementing the variables, especially in wording questions and wording or ordering 
categories. The information should not be derived from other sources and it should be collected by using a single question.

All  categories  representing  an  activity  status  have  to  be  presented  to  the  respondent.  The  order  or  number  of 
categories should not change; in order to get comparable results it must be the same across all surveys.

Self-perception means the variable shall capture how people perceive themselves, not how they meet certain objective criteria. 
Where more than one status applies, the respondent will select the category that best describes their situation. There are no 
specific criteria to determine it, but one could select the status/activity for which they spent most of their time.

In cases where respondents cannot spontaneously choose one category, especially when several categories apply to them, the 
interviewer can give some help for clarification. A PAPI questionnaire can give explanations (preferably in an annex). Concrete 
proposals helping for the choice of the category should not be given, only explanations on appropriate choices of a category. In 
principle, there is no wrong assignment, it only depends on the self-perception of the respondent:

Respondents  can  consider  themselves  being  ‘employed’  irrespective  of  their  official  labour  market  status,  working  time  or 
kind of income. They can also be looking for another job in parallel. Other categories can also apply to them as long as they 
consider employment to be their main activity. Conversely, persons who would choose another main activity status can also 

(15)  See the EU labour force survey methodology available at the following: http://ec.europa.eu/eurostat/statistics-explained/index.php/EU_labour_force_survey_-_

methodology 

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be in employment. For instance, many people who would regard themselves as full-time students or mainly ‘fulfilling domestic 
tasks’ can have a job. In that case they can assign themselves to the corresponding category. Respondents helping in the family 
business, even if it is unpaid, can consider themselves as employed.

•  Respondents can see themselves as being ‘unemployed’ irrespective of an official status or a registration with the public 

employment agency. Unemployed persons can also have minor jobs while seeking for a main job.

•  Respondents can consider themselves as ‘retired’ if they receive a pension or if they have finally stopped working or given up 
their business because of their age or age related health condition. Still, they could work e.g. in a minor job. Persons in early 
retirement that is not connected to health issues can also choose this category. 

•  Persons who have not reached retirement age but are unable to work due to health reasons or disabilities for a longer or 

undetermined time can choose the category ‘unable to work due to long-standing health problems’. It is independent from 
the benefit they receive. Persons who are in early retirement due to health reasons can choose this category if they do not 
rather consider themselves as retired.

•  Respondents who are in various forms of vocational education or training that (partly) takes place at the work site can 

consider themselves as being in employment. This also applies to apprentices, as well as paid trainees or interns, who can 
consider themselves as being in employment, while persons having an unpaid work-based training may assign themselves to 
the category ‘student, pupil’.

•  Respondents who mainly perceive themselves as a housewife or househusband can choose the category ‘fulfilling domestic 
tasks’ even if they also have a job, receive a pension or are retired. The category ‘fulfilling domestic tasks’ includes all activities 
needed to run a private household including the raising of children.

•  Persons who cannot choose one of the presented activity status categories can select the category ‘Other’. These can be e. g. 

volunteers or mainly inactive persons or persons who have a job and/or fulfil domestic tasks. 

•  Respondents on maternity or parental leave can consider themselves either as ‘employed’ or as ‘fulfilling domestic tasks’.

After data collection, categories can be grouped for other purposes (e.g. dissemination or analysis). The category ‘Compulsory 
military or civilian service’ may not apply in all countries and in this case it can be dropped. The category ‘Other’ should only be 
offered to the respondent if they cannot choose one of the proposed categories. In PAPI it is unavoidable to offer this category 
right away. 

The variable refers to the current status, i.e. no reference period should be mentioned. 

The categorisation is solely self-defined and may not be changed due to plausibility checks or for any other reason (corrections/
imputations) except by retrieving it again from the respondent. Question G6 is a filter for questions G7, G8, G10, and G11. 

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Elementary Job Characteristics and Career Continuity and Breaks

G7: Status in employment in the main job 

Only for respondents who answered “yes” to “employed” in question G6

G7.

Status in employment in the main job                                                                                                     (tick only one)

Self-employed person with employees 

Self-employed person without employees 

Employee 

Family worker (unpaid)









This question not completely new to the survey, aims at assessing the respondent’s employment situation. The target ‘person in 
employment(16) has been filtered by preceding question G6. 

The variable refers to the main job of a person in employment, where the term ‘job’ is used in reference to employment, namely 
the current main job for people at work. 

One job is a set of tasks and duties performed for a single economic unit. Persons may have one or several jobs. For employees, 
each  contract  can  be  considered  as  a  separate  set  of  tasks  and  duties,  and  consequently  as  a  separate  job.  Those  in  self-
employment will have as many jobs as the economic units they own or co-own, irrespective of the number of clients served. In 
cases of multiple job-holding, the main job is that with the longest hours usually worked, as defined in the international statistical 
standards on working time.

The variable is based on the International Classification of Status in Employment (‘ICSE-93’)(17). The ICSE classifies jobs with respect 
to the type of (explicit or implicit) labour contract. Basic criteria underlying the classification and defining its groups are the type 
of economic risk including the strength of the attachment between the person and the job, and the type of authority over the 
establishments and other workers the incumbent has.

According to the basic criteria of economic risk and authority underlying ICSE and focussing on forms of employment relevant in 
the European context the following statuses are defined. They are complemented by some examples to facilitate the assignment 
to a status category is not always straightforward.

Self-employed persons with employees are defined as persons who work in their own business, professional practice 
or farm for the purpose of earning a profit derived from the goods or services produced, and who employ at least 
one other person.

Examples could be:

•  A person who looks after one or more children who are not their own on a private basis and receives a payment for this 
service should be considered as self-employed, except when they work for a single employer and receives employment 
rights from that employer; in that case they should be considered as an employee.

•  A freelancer should in general be classified as self-employed. However, in situations where a freelancer works for a single 
employer and receives employment rights from that employer (e.g. holiday pay) they should be classified as an employee.

•  A person who gives private lessons should be considered as self-employed if they are directly paid by their students.

•  Members of producers’ co-operatives should be considered as self-employed. These members take part on an equal footing 
with other members in determining the organisation of production, work, sales and/or investments of the establishment.

Self-employed  persons  without  employees  are  defined  as  persons  who  work  in  their  own  business,  professional 
practice or farm for the purpose of earning a profit derived from the goods or services produced, and who do not 
employ any other person.

(16)  Information on whether a person is in employment is determined by the self-defined main activity (Question G6) for the survey on the use of ICT in households and by 

individuals, and not by the ILO definition, as it is the case for the EU-LFS.

(17)  The International Standard Classification on Status in Employment is currently being revised at ILO level. The variable will be revised once the revised classification is 

endorsed. However, for the reference year 2022, ICSE-93 remains the relevant classification.

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In particular, examples could be:

•  People who only engage members of their own family or trainees without payment should be classified in this category. This 

includes farmers just using the assistance of members of family.

•  If a co-operative has employees (e.g. an accountant) the members of the co-operative should be considered as ‘self-
employed person without employees’ because the co-operative, as an institution (and not any of its members) is the 
employer.

•  A woman who looks after one or more children that are not her own on a private basis and who receives payment for this 

service is a self-employed.

•  A freelancer should be classified as self-employed, although a person who has been regularly retained by a single employer 

for some time may also be regarded as an employee.

Employees are defined as persons who work for a public or private employer based on a written or oral contract and 
who receive a payment in cash or in kind. This payment in cash or in kind is not directly dependent upon the revenue 
of the unit for which they work. Members of the armed forces are also included if they are part of the survey target 
population. Employees normally work under direct supervision of, or according to guidelines set by the employing 
organisation or enterprise.

Examples could be:

•  A family member (son or daughter, for example), who is working in the family’s farm and receives a regular monetary wage, is 

classified as an employee.

•  A person looking after children of others in their own home is classified as an employee if they are paid to do this by the local 
authority (or any other public administration) and if they do not take any decision affecting the enterprise (e.g. schedules or 
number of children) but should be classified as self-employed if they do it privately.

•  In case a co-operative has hired workers and these workers have an employment contract that gives them a basic 

remuneration (which is not directly dependent upon the revenue of the co-operative), these workers are identified as 
employees of the co-operative.

•  Apprentices or trainees receiving remuneration should be considered as employees.

•  Priests (of any kind of religion) are considered employees.

•  On-call or casual workers are classified as employee or self-employed depending on the specific characteristic of their 

employment relationship. A prerequisite for being considered as a self-employed offering their work or services, respectively, 
is an own business or professional practice.

Family workers (unpaid) are persons who help another member of the family to run a farm or other business, provided they are 
not considered as employees. Thus, they may not receive a kind of payment for their work in the family business because then 
they would be considered as employees.

This category includes:

•  Relatives working in a family business or on a family farm without pay. This includes e.g. a son or daughter working in the 

parents’ business or on the parents’ farm without pay or a wife who assists her husband, or vice versa, in their business without 
receiving any pay.

•  Helping family members do not have to live directly in the same household or on the same site. Also included are relatives 

living elsewhere but coming to help with the business, e.g. during the harvesting season, without pay in money or kind if the 
reference period lies within that season.

•  If a relative receives any remuneration (including benefits in kind) the status in employment should be coded as ‘employee’.

The category ‘Not applicable’ covers persons not in employment reflected in the filter introduced by question G6.

Question G7 is a filter for question G9.

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G8: Full-or part-time main job (self-defined) OPTIONAL

Only for respondents who answered “yes” to “employed” in question G6

G8.

Full- or part-time main job (self-defined) (OPTIONAL)                                                (tick only one)

Full-time job

Part-time job





The target ‘person in employment(18)’ has been filtered by preceding question G6.

The  variable  refers  to  the  main  job  of  a  person  in  employment.  This  main  job  can  be  a  full-time  job  or  a  part-time  job.  The 
distinction should be based on the respondent’s own perception referring to the usual hours worked in the main job. 

The term ‘job’ is used in reference to employment. One job is a set of tasks and duties performed for a single economic unit. 
Persons may have one or several jobs. For employees, each contract can be considered as a separate set of tasks and duties, and 
consequently as a separate job. Those in self-employment will have as many jobs as the economic units they own or co-own, 
irrespective of the number of clients served. In cases of multiple job-holding, the main job is that with the longest hours usually 
worked, as defined in the international statistical standards on working time.

In household surveys, the distinction between a full-time and part-time job should be made on the basis of the self-assessment 
given by the respondent. If this answer does not come spontaneously from the respondent, the following guidance can be given:

A person in a part-time job works less than a comparable full-time worker having a job in the same occupation and in the same 
local unit(19). For persons who cannot compare working hours because e.g. they are working alone, the benchmark is the group 
of people who work in the same occupation and the same branch of industry.

At least four weeks and ideally three months should serve as reference period. Weeks with absences due to e.g. holidays, leaves 
or strikes should not be taken into account. In case of very irregular working hours or a job that has just been started, an average 
regarding the last four weeks or contractual hours can be used as a proxy.

Working hours comprise 

•  the time spent at the workplace, meaning the place where work tasks and duties are normally carried out, and 

•  the time used for carrying out work tasks outside the workplace even if they are not directly paid. This includes the work of 

teachers outside the classroom. Only the hours of the main job are counted.

On-call time is only counted if it is spent at the workplace or implies high restrictions on the person in employment. The main 
meal break is not counted as working time even if spent at the workplace. Travelling time for business trips is counted but not 
commuting time. Training time is counted as working time if it is within working hours, required by the employer or directly 
connected to the main job. Absences during working time for personal reasons are not to be counted as working time. Farmer’s 
working time for own use production is not counted as working time.

The  categorisation  into  full-  or  part-time  is  solely  self-assessed  and  may  not  be  changed  due  to  plausibility  checks  by  using 
information on usual working hours stated elsewhere except by confirming the information given by the respondent him or 
herself. Uniform corrections are not appropriate because the typical volume of a full-time worker can vary between branches, 
local units etc. The self-assessment of the respondent can be seen as the more reliable way to collect this information.

If the respondent has several jobs, the main job is the one where the respondent usually works the most hours.

(18)  Information on whether a person is in employment is determined by the self-defined main activity (Question G6) for the survey on the use of ICT in households and by 

individuals, and not by the ILO definition, as it is the case for the EU-LFS.

(19)  Following the definition of the 81st International Labour Conference, a person who works in a part-time job normally works fewer hours than a comparable full-time 
worker. The distinction refers to the hours a person usually works in the main job regarding a long reference period. The self-definition characteristics means that it is 
up to the respondent to decide whether their main job in the context of their profession or enterprise is full or part-time.

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G9: Permanency of main job OPTIONAL 

Only for respondents who answered “yes” to “employee” in question G7

G9.

Permanency of main job (OPTIONAL)                                                                                                       (tick only one)

Permanent job

Fixed-term contract





This variable refers to the current job if the respondent has declared to be an ‘Employee’ in question G7. 

In the majority of countries, most jobs are based on written work contracts. However in some countries such contracts exist only 
for specific cases (for example in the public sector, for apprentices, or for other persons undergoing some formal training within 
an enterprise). 

The variable distinguishes whether the contract of the main job has a limited duration, i.e. the job will terminate after a predefined 
period, or is a permanent contract without a fixed end. The variable refers to the main job. 

What counts is the contractual arrangement (or the informal or verbal arrangement) of the employment relationship, and not the 
expectation that the respondent might have to lose the job, their plan to leave it, their wish to stay or the probability to stay there 
permanently.

The term job is used in reference to employment. One job is a set of tasks and duties performed for a single economic unit. 
Persons may have one or several jobs. For employees, each contract can be considered as a separate set of tasks and duties, and 
consequently as a separate job. In cases of multiple job-holding, the main job is that with the longest hours usually worked, as 
defined in the international statistical standards on working time.

A job with a fixed-term contract or agreement will terminate either after a period of time determined in advance (by a known date), 
or after a period not known in advance, but nevertheless defined by objective criteria, such as the completion of an assignment 
or the period of absence of an employee temporarily replaced.

A job with a contract that has no such predefined end is counted as permanent.

 Seasonal workers are counted as having a fixed-term contract, as well as persons having a contract for a probationary period. 

For temporary employment agency workers, the categorisation depends on the type of contract with the employment agency. 
They are counted as having a permanent job only if there is a work contract of unlimited duration with the employment agency.

To be included in these groups are:

•  Persons with a seasonal job;

•  Persons engaged by an employment agency or business and hired out to a third party for the carrying out of a “work mission” 

(unless there is a work contract of unlimited duration with the employment agency or business);

•  Persons with specific training contracts. If there exists no objective criterion for the termination of a job or work contract, 

these should be regarded as being permanent or of unlimited duration;

•  Here, the actual employment is time-limited under an agreement - not that the respondent has, for example, considered 
stopping work in order to travel or attend college. Students with jobs that they only intend to keep for as long as they are 
studying, are thus not in a time-limited job;

•  Respondents who have a contract to do their job, which may be renewed, for example, once a year, should be coded 

according to whether or not the respondents themselves consider their job to be of an unlimited duration;

•   A contract for a probationary period when the contract finishes automatically at the end of the probationary period, 

necessitating a new contract if the person continues to be employed by the same employer, is to be considered a ‘temporary 
job’.

If the respondent has several jobs, the main job is the one where the respondent usually works the most hours.

The category ‘Not applicable’ covers persons not in employment and persons in employment who are not employees.

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G10: Economic activity of the local unit for the main job OPTIONAL 

Only for respondents who answered “yes” to “employed” in question G6

G10.

Economic activity of the local unit for the main job (OPTIONAL)                                                      (tick only one)

A

B

C

D

E

F

G

H

I

J

K

L

M

N

O

P

Q

R

S

Agriculture, Forestry and Fishing

Mining and Quarrying

Manufacturing

Electricity, Gas, Steam and Air Conditioning Supply

Water supply; sewerage, waste management and remediation activities

Construction

Wholesale and retail trade; repair of motor vehicles  and motorcycles

Transportation and Storage

Accommodation and Food Service Activities

Information and Communication

Financial and Insurance Activities

Real Estate Activities

Professional, Scientific and Technical Activities

Administrative and Support Service Activities

Public Administration And Defence; Compulsory Social Security

Education

Human Health and Social Work Activities

Arts, Entertainment and Recreation

Other Service Activities







































The target ‘person in employment(20)’ has been filtered by question G6.

The  variable  refers  to  the  main  job  of  a  person  in  employment.  One  job  is  a  set  of  tasks  and  duties  performed  for  a  single 
economic unit. Persons may have one or several jobs. For employees, each contract can be considered as a separate set of tasks 
and duties, and consequently as a separate job. Those in self-employment will have as many jobs as the economic units they own 
or co-own, irrespective of the number of clients served. In cases of multiple job-holding, the main job is that with the longest 
hours usually worked, as defined in the international statistical standards on working time. See question G6 for more details on 
the explanations on ‘main job’.

The variable is defined according to the Statistical Classification of Economic Activities (Nomenclature statistique des activités 
économiques dans la Communauté européenne, ‘NACE’) Rev. 2. It determines the economic sector or kind of economic activity 
of the local unit in which the job of a person in employment is located.

The local unit is an enterprise or part thereof (e. g. a workshop, factory, warehouse, office, mine or depot) situated in a geographically 
identified place. At or from this place, economic activity is carried out for which one or more persons work (even if only part-time) 
for one and the same enterprise (Council Regulation 696/93).

(20)  Information on whether a person is in employment is determined by the self-defined main activity (Question G6) for the survey on the use of ICT in households and by 

individuals, and not by the ILO definition, as it is the case for the EU-LFS.

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The economic activity of the local unit should be classified according to the categories set out by the NACE Rev. 2 at 1-digit level, 
as described in the statement of the question or the above table.

Where the local unit has more than one economic activity, only the dominant one should be recorded. The ideal measure for 
determining the dominant activity would be the number of employees for the different activities, rather more than economic 
concepts like added value or turnover.

If a person works in more than one place (for example in transport, construction, maintenance, surveillance, itinerant work, etc.) or 
at home, or in the customer’s place (e.g. activities of surveillance, security, or cleaning), the local unit is taken to be the place from 
where instructions emanate or from where the work is organised.

The economic activity of the local unit for persons with a contract with a temporary employment agency should be coded as the 
activity of the local unit where they actually work and not in the industry of the agency which employs them.

The category ‘Not applicable’ covers persons not in employment. 

There are mainly two possible approaches (questions) to identify the economic activity of the local unit. First, the respondent can 
be asked for the name and address of the firm where they have their main job, if this can be linked to a database of all firms in a 
country like a Statistical Business Register (SBR). In a second approach the respondent is asked to describe the economic activity 
and the kind of products or services supplied by the firm where they work.

G11: Occupation in the main job

Only for respondents who answered “yes” to “employed” in question G6

G11. Occupation in the main job

< description >

<Transmission of all 2-digit ISCO-08 occupations mandatory.  
In addition, transmission of: ICT professional/ Non-ICT professional; Manual worker/Non-
manual worker>

 

SCL ISCO-08 

2-digit code

The target ‘person in employment(21)’ has been filtered by question G6.

The variable refers to the main job of a person in employment. One job is a set of tasks and duties performed for a single economic 
unit. Persons may have one or several jobs. In case of multiple jobs, the main job should be the one in which the greatest number 
of hours are usually worked. If multiple jobs are held or were held, the main job should be the one in which the greatest number 
of hours are usually worked. See question G6 for more explanations on ‘main job’.

In the ICT usage survey by individuals and in households, this question is composed of two items. The first item, consists of the 
description of the main tasks in terms of two concepts: ICT or non-ICT professionalism and manual vs. non manual worker. The 
second, mandatory from now on for in all European social surveys, consists in the recording of the occupation in the main job 
according the ISCO-08 classification (2-digit level is the mandatory level of detail for the ICT survey). 

The  International  Standard  Classification  of  Occupations,  version  2008(22)  (ISCO-08)  groups  or  classifies  jobs  according  to  the 
similarities of the tasks and duties undertaken in the job. In the International Labour Organization (ILO) resolution adopting the 
ISCO-08, occupation is defined as a set of jobs whose main tasks and duties are characterised by a high degree of similarity.

The classification is available in the RAMON-database (>classifications).

1.  Details about the ‘ICT/Non-ICT professional’ and ‘Manual/Non-manual workers’ aggregation.

The basis for the classification is the job and the skills. A job is defined as the set of tasks and duties to be performed. Skills are 
the abilities to carry out the tasks and duties of a job. Skills consist of two dimensions: the skill level, usually related to the level of 
educational attainment, and the domain specialisation.

The purpose of the variable ‘Occupation’ as a background characteristic is not to collect data on ICT usage broken down by 
individual occupations (this would necessitate very large samples), but rather by groups of occupations, e.g. manual versus non-
manual or ICT-jobs versus non ICT-jobs.

(21)  Information on whether a person is in employment is determined by the self-defined main activity (Question G6) for the survey on the use of ICT in households and by 

individuals, and not by the ILO definition, as it is the case for the EU-LFS.

(22)  The ISCO-08 classification is available at the following: http://ec.europa.eu/eurostat/documents/1978984/6037342/ISCO-08.pdf

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ICT professionals

It is possible to code and store job occupations at a more aggregated level than sub-major groups based on 2-digit ISCO codes. 
The major groups (1-digit level) indeed do not allow to distinguish ICT professionals from other workers.

At least the following sub-major groups should be considered as ICT professionals:

25  
35  
If possible, some ICT occupations classified in other groups should also be taken into account:

Information and communications technology professionals
Information and communications technicians

133  
2356  
7422  
Non ICT professionals

ICT service managers
Information technology trainers
ICT installers and servicers

The category ‘Non ICT professionals’ consists of the individuals in all other ISCO Unit Groups (in the 4digit coding case) or all other 
ISCO Minor Groups (in the 3digit coding case).

For the breakdown ‘Manual / Non-manual workers’, the following applies:

Manual workers

This category corresponds to major groups 6 to 9 of ISCO-08:

•  Major group 6: Skilled agricultural, forestry and fishery workers;

•  Major group 7: Craft and related trades workers;

•  Major group 8: Plant and machine operators and assemblers;

•  Major group 9: Elementary occupations.

Non-manual workers

This category corresponds to major groups 0 to 5 of ISCO-08.

•  Major group 1: Managers;

•  Major group 2: Professionals;

•  Major group 3: Technicians and associate professionals;

•  Major group 4: Clerical support workers;

•  Major group 5: Service and sales workers;

•  Major group 0: Armed forces.

2.  Occupations according to all 2-digit ISCO-08 categories

The transmission of all occupations recoded into at least 2-digit ISCO-08 categories is from 2021 on, requested in 
the ICT survey.

For more details, see the Commission’s recommendation on the use of ISCO-08.

The essential information for determining the occupation is usually the job title of the person in employment and a description 
of the main tasks undertaken in the course of their duties. 

If a person carries out two or more tasks for their employer which are so different from each other that they should have different 
ISCO codes, it is recommended to code it on the most extensive task. 

Persons  who  carry  out  a  period  of  training  or  apprenticeship  based  on  an  employment  contract  should  be  classified  in  the 
occupation corresponding to their employment contract.

The category ‘Not applicable’ covers persons not in employment.

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2.3.3.7.5. Localisation 

G12: Region of Residence – NUTS 1 

G12. Region of Residence 

< description >

NUTS 1

The region of residence is the region within the country of residence in which the person or household has their usual residence.

For Member States of the EU, regions are defined on the basis of the Nomenclature of territorial units for statistics (‘NUTS’, in its 
French acronym) as described in Article 3 of Regulation (EC) No 1059/2003 of the European Parliament and the Council on the 
establishment  of  a  common  classification  of  territorial  units  for  statistics  (NUTS),  and  as  amended  by  Commission  Delegated 
Regulation 2019/1755 of 8 August 2019 and Annex I thereto.

The NUTS1 or major socio-economic regions have been introduced as being mandatory in 2008. Most, but not all countries are 
concerned, because NUTS1 = NUTS0 in some small countries.

The region of residence is classified according to the categories set out in the Nomenclature of territorial units for statistics (NUTS). 
More information about NUTS 2021 regional classification at level 1:

•  Background on NUTS

•  History of NUTS

•  Regional classification according to NUTS 2021 by regional level 

As  of  01  January  2021,  NUTS  regions  including  NUTS1  for  the  EU  Member  States  should  be  used  according  to  NUTS  2021 
classification. Codes for data transmission should use the exact codes/labels as specified in Annex I of the NUTS regulation(23).

Codes to identify the statistical regions for the European Free Trade Association (‘EFTA’) countries and the Candidate Countries 
should be used according to the following link.

To see which codes have been changed between version NUTS 2016 and NUTS 2021: link. More on the history of NUTS here.

G13: Region of Residence – NUTS 2 OPTIONAL

G13. Region of Residence 

< description >

NUTS 2

The region of residence is the region within the country of residence in which the person or household has their usual residence.

For Member States of the EU, regions are defined on the basis of the Nomenclature of territorial units for statistics (NUTS, in its 
French acronym) as described in Article 3 of Regulation (EC) No 1059/2003 of the European Parliament and the Council on the 
establishment  of  a  common  classification  of  territorial  units  for  statistics  (NUTS),  and  as  amended  by  Commission  Delegated 
Regulation 2019/1755 of 8 August 2019 and Annex I thereto.

The NUTS 2 regions have been introduced as being optional in 2008. Most, but not all countries are concerned.

The region of residence is classified according to the categories set out in the Nomenclature of territorial units for statistics (NUTS). 
More information about NUTS 2021 regional classification at level 2 can be found here. 

As  of  01  January  2021,  NUTS  regions  including  NUTS2  for  the  EU  Member  States  should  be  used  according  to  NUTS  2021 
classification. Codes for data transmission should use the exact codes/labels as specified in Annex I of the NUTS regulation(24).

Codes to identify the statistical regions for the EFTA countries and the Candidate Countries should be used according to the 
following link.

To see which codes have been changed between version NUTS 2016 and NUTS 2021:link. More on the history of NUTS here.

The official list of regions has been published via the following link.

(23)  The 2021 official list of regions has been published via the following link:
https://eur-lex.europa.eu/legal-content/EN/TXT/?qid=1571919890809&uri=CELEX:32019R1755

(24)  The 2021 official list of regions has been published via the following link:
https://eur-lex.europa.eu/legal-content/EN/TXT/?qid=1571919890809&uri=CELEX:32019R1755 

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G14: Geographical location

G14.

Geographical location                                                                                            (tick only one)

Less developed region

Transition region

More developed region







From  2021  onwards,  the  classification  of  regions  according  to  the  New  Cohesion  Policy  distinguishes  the  following  types  of 
regions according to their levels of development:

Less developed regions: when GDP/head < 75% of EU-27 average

Transition regions: when GDP/head is comprised between 75% and 100% of EU-27 average

More developed regions: when GDP/head ≥ 100% of EU-27 average.

The map of European regions is available via the following link.

The last official list of eligible regions has been published via the following link.

Since the above list is based on an older NUTS classification, evolution of the NUTS classification can be traced here. 

NUTS 2021 classification should be used from 01 January 2021 onwards. For more information about NUTS, please see: the three 
NUTS regional classification. 

The official amended list of NUTS regions has been published in 2019 via the following link.

Further information including a list of NUTS regions was provided in previous manuals.

Changes compared to classifications until 2013:

Up  to  2006,  former  “Objective  1”  promoted  the  development  and  structural  adjustment  of  regions  whose  development  was 
lagging behind, i.e. whose average per capita GDP was below 75% of the European Union average. 

From 2007 to 2013, the list of objective 1 regions (valid until end 2006) related to the list of convergence regions (including related 
phasing out regions), see also: OJ L 243/44 (6.9.2006) “Commission Decision of 4 August 2006 drawing up the list of regions eligible 
for funding from the Structural Funds under the Convergence objective for the period 2007-2013”. The list was extended: in EU-27, 
Bulgarian and Romanian NUTS regions were convergence regions. Non-convergence including related phasing out regions (i.e. all 
other regions) were classified as regional competitiveness and employment region. The list of NUTS regions eligible for support 
from the Structural Funds under the Convergence Objective (ex-Objective 1), including phasing out Convergence regions, was 
valid for the period 2007-2013.

Between 2014 and 2020, the programming period introduced simplified common rules and a better focus on outcomes and results 
to best deliver the Europe 2020 goals. The Commission has examined why regions with a low level of economic development 
or regions experiencing several years of negative GDP growth are lagging behind. The list of eligible regions for funding for the 
2014-2020  period  was  set  in  the  Commission  Implementing  Decision  2014/99/EU  of  18/02/2014.  The  classification  of  regions 
distinguished three levels of regional development according to the following criteria:

•  Less developed regions where GDP per head was below 75% of the EU-27 average;

•  Transition regions where GDP per head was comprised between 75% and 90% of EU average, and 

•  More developed regions where GDP per head was at least equal to 90% or EU-27 average.

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G15: Degree of Urbanisation 

G15. Degree of urbanisation                                                                                                                               (tick only one)

Cities (Densely populated area)

Towns and suburbs (Intermediate density area)

Rural areas (Thinly populated area) 







The variable reports on the degree of urbanisation of the area where the person or the household has their usual residence.

The degree of urbanisation (‘DEGURBA’) creates a classification of all LAUs (Local Administrative Units), the building blocks of the 
NUTS (Nomenclature of Territorial Units of Statistics) into the following three categories: 

1.  Cities (densely populated areas) (Code 1)

2.  Towns and suburbs (intermediate density areas) (Code 2)

3.  Rural areas (thinly populated areas) (Code 3)

This classification is regularly revised on the basis of the most recent population grid and the latest LAU boundaries. The three 
types  of  area  have  been  identified  and  defined  using  a  criterion  of  geographical  contiguity  in  combination  with  a  minimum 
population threshold based on population grid square cells of 1 km. These grid cells all have the same shape and surface, which 
avoids distortions caused by using units varying in size. 

The DEGURBA classification in its current version is used in different domains since 2012 to meet the demand for statistics at a 
local level.

The  latest  tables  available  here  provide  the  correspondence  between  the  LAU  units  and  the  DEGURBA  categories  in  all  EU 
countries. 

Since 2017, there is only one level of Local Administrative Units left.  

The LAUs are:

administrative for reasons such as the availability of data and policy implementation capacity;

a subdivision of the NUTS 3 regions covering the whole economic territory of the Member States;

appropriate  for  the  implementation  of  local  level  typologies  included  in  TERCET,  namely  the  coastal  area  and  DEGURBA 
classification.

Since there are frequent changes to the LAUs, Eurostat publishes an updated list towards the end of each year.

More information on the LAUs is available here and in the Methodological manual on territorial typologies.

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2.3.3.7.6. Household composition 

G16 and G17: Household composition

G16.

Total number of members in the household (HOUSEHOLD SIZE)

of which: 

Number of persons aged from 16 to 24                        OPTIONAL

of which: Number of students                                         OPTIONAL

Number of persons aged 25 to 64                                                          OPTIONAL

Number of persons aged more than or equal to 65                            OPTIONAL

G17.

of which, Number of children under 16:

of which:                                                                                        

Number of children aged from 14 to 15                                                 OPTIONAL

Number of children aged from 5 to 13                                                   OPTIONAL

Number of children aged less than or equal to 4                                 OPTIONAL

<__>

<__>

<__>

<__>

<__>

<__>

<__>

<__>

<__>

Questions G16 and G17 record the total number of members in a private household (household size) of which the number of 
children under 16 years of age. G16 counts one mandatory variable (total number of members of the household) and 4 optional 
variables. G17 counts one mandatory variable (number of children under 16) as well as 3 optional variables.

‘Household’ refers either to one person living alone or a group of people living together in the same dwelling unit with at least 
one person of the age of 16–74 years (see on page 6 “General outline of the survey, Scope - age limit”). This variable provides 
information on the exact number of members of the household and the category ‘not stated’.

Excluded are permanent members of institutions such as hospitals, prisons, etc. A person is considered to be a member of the 
household if their usual residence is that household. 

The household composition (as used in the tabulation scheme) is determined using two mandatory indicators: the total number 
of persons in the household (including all age groups) and the number of children under 16. The presence (and the number) 
of  children  is  collected  separately  as  this  is  a  driving  force  for  adoption  of  ICTs  or  internet  in  a  household.  Only  the  age  of 
the  household’s  members  is  collected  in  accordance  to  the  implementing/delegating  acts  for  the  collection  of  ICT  usage  in 
households and by their members.

In addition, several optional variables have been added as visible in the model questionnaire. If countries have chosen to collect 
the equivalised net monthly income, at least the number of persons aged 14-15 should be additionally collected, otherwise the 
calculation will not be possible. 

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2.3.3.7.7. Total monthly household income

G18: Household income 

G18. Household income: 

(total average net current monthly income)

<___________>                                                   

<national currency> or income bands

To be transmitted in one of the five equivalised income 
quintiles’ groups

The “income” concept used in this survey is the net monthly income of the private household (not the respondent!), i.e. the sum 
of  income  of  all  household  members  received  individually  or  as  a  whole  –  including  income  from  work,  social  benefits,  and 
other cash income components, and deducting cash transfers paid to other households- after taxes and contributions to social 
insurance, corresponding to the monthly average. The variable aims at providing information on the household income remaining 
available to be spent or saved, as one’s access to and use of ICTs will rather be related to the total income of the household they 
are part of than by their personal income. 

In the context of the survey on the use of ICT in households and by individuals the lower level of detail needed is required, i.e. the 
variable provides information on equivalised income. It thus differentiates between five possible income categories depending 
on  the  equivalised  net  current  monthly  income  of  the  household(25).  Equivalisation  consist  of  applying  weights  (equivalence 
values) to the household members to reflect differences in needs for households of different size or composition. 

Equivalised disposable income is the total income of a household that is available for spending or saving, divided by the number of 
household members converted into equivalised adults. Household members are equivalised or made equivalent by the following 
so-called modified OECD (Organisation for Economic Co-operation and Development) equivalence scale where:

•  the first household member aged 14 years and over counts as 1 person (weight of 1)

•  each other household member aged 14 years and over counts as 0.5 person (weight of 0.5)

•  each household member aged 13 years or less counts as 0.3 person (weight of 0.3).

The thresholds between the five categories are determined by the four cut-off values (quintiles) that allow dividing the variable 
distribution  (of  equivalised  net  current  monthly  income)  into  five  groups  represented  by  20%  of  households  each(26).  The 
categories are defined as follows: 

•  ‘lower equivalised net current monthly income group’ corresponds to households with an equivalised income level that falls 

below the first quintile, i.e. among the 20% lowest incomes observed in the distribution;

•  ‘low to medium equivalised net current monthly income group’ corresponds to households with an equivalised income level 

equal or greater than the first quintile and below the second quintile, i.e. among the 40% lowest incomes but not among the 
20% lowest in the distribution;

•  ‘medium equivalised net current monthly income group’ corresponds to households with an equivalised income level equal or 
greater than the second quintile and below the third quintile, i.e. among the 60% lowest incomes but not among the 40% 
lowest in the distribution;

•  ‘medium to high equivalised net current monthly income group’ corresponds to households with an equivalised income level 

equal or greater than the third quintile and below the fourth quintile, i.e. among the 80% lowest incomes but not among the 
60% lowest in the distribution;

•  ‘higher equivalised net current monthly income group’ corresponds to households with an equivalised income level equal or 

greater than the fourth quintile, i.e. among the 20% highest incomes observed in the distribution. 

(25)  At a higher level of detail, in contrast, information on exact income figures is to be transmitted to Eurostat, and therefore in that case, the equivalised income can be 

calculated by Eurostat. 

(26)  The five income categories might not always represent exactly one fifth of the distribution each, e.g. when the information has been collected in income bands. 

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The ‘net current monthly household income’ is the result of adding up the net current income, corresponding to the monthly 
average, from all members of the household received individually or as a whole. The variable should include the following income 
components:

•  ‘Income from work’ is defined for persons in paid employment, employee or self-employed as: 

For an employee:  this  refers to  the monthly ‘take-home’ pay, i.e  the  pay after  deducting income  taxes,  employee’s social 
security contributions and any voluntary contributions; additional payments regularly paid such as overtime pay, productivity 
bonus, bonuses for team, night or weekend work, tips and commissions,  should be included on a monthly basis.

For a self-employed: the income of this source refers to the income received by individuals as a result of their involvement in 
self-employment work; as this income may be difficult to measure, the respondents can be asked for an estimate of their net 
disposable income. 

•  ‘Income from social benefits’ covers social transfers in cash, including unemployment benefits, old age and survivor benefits, 
sickness and disability benefits, education related, allowances, family/children related allowances, housing allowances, and 
social exclusion allowances not classified elsewhere. Income from allowances such as unemployment benefits, pensions 
and sickness, disability or invalidity allowances should refer to the last monthly allowance received before the interview (or 
the monthly average for a recent period if this is more easy to collect or estimate). Note: Because of Covid-19, other types 
of income – in particular exceptionally paid types of “Income from social benefits” – may need to be added in the national 
questionnaires, depending on national policies.

•  Other cash income components covers income from capital and investments (property, assets, savings, stocks, shares, private 
pension plans, etc.), regular inter-household cash transfers received (e.g. alimony or child support payments), or any other 
household cash income which was not allocated to any of the above categories. 

The ‘net current monthly household income’ is then obtained after deducting regular cash transfers paid to other households, 
such as alimony or child support payments.

All the income components to be included (or deducted) for the calculation of ‘net current monthly household income’ need 
to be enumerated to the respondent to ensure that the necessary information is provided. The information on income provided 
should be net of any amounts deducted at the source for tax and contributions for social insurance and pensions, for all the 
income components. In case the household income varies significantly due to annual tax declaration or tax reimbursements, an 
average monthly amount should be included to/deducted from the declared net monthly income.

The ‘net current monthly household income’ refers to cash income (money income) only. It does not include income in kind (i.e. 
income other than money income, such as employee benefits or government-provided goods and services), imputed rent, or 
income from household production of goods or services for own consumption.

Ideally, information on net current monthly household income should be collected in exact figures. Where it is not desirable 
or  feasible  to  collect  such  information,  the  respondent  can  indicate  an  income  size  band.  These  size  bands  should  be  based 
on a national income distribution from a statistical source measuring net household income (e.g. European Union Statistics on 
Income  and  Living  Conditions  (‘EU-SILC’),  microcensus  data),  and  provide  an  appropriate  coverage  of  such  distribution.  It  is 
recommended to consider at least 15 or more income bands as good practice, and in any case no fewer than 10(27). Such approach 
should make cross-country comparisons more meaningful. 

For ICT Household (‘HH’) survey, the information collected on net current monthly household income needs to be equivalised, 
i.e. divided by the equivalent household size according to OECD - modified scale (see above), for which the household size and 
the number of household members aged less than 14 need to be known(28). Then, the quintiles of the equivalised net current 
monthly income distribution from the data collected are determined, and each household is classified in the appropriate variable 
category according to its equivalised net current monthly income level. 

The variable refers to the total (net) current income from all members of the household corresponding to the monthly average. 
The respondent may be given the possibility of consulting other members of the household in order to provide an accurate 
response, if necessary. The month of the date of the interview may be taken as reference, or alternatively the previous month if the 
calculation of household income by the respondent is facilitated. If the household income varies greatly from month to month, 
an estimation of the typical/usual net monthly income reflecting the current household income situation is to be provided. In 

(27)  Tests have shown that the current monthly household income might be significantly underreported compared to income collected in the framework of the EU-SILC. It 
is advisable to provide denser income bands, especially for the lower end of the income grid, in order to avoid overrepresentation of the lower quintiles of this variable.

(28)  See Question G17.

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European compilers’ manual for statistics on the use of ICT in households and by individuals 2 Data compilation

case the monthly household income varies substantially over the year (in case of seasonal activity, dividends/bonuses, or other 
sources of irregular income) the monthly average of the annual income is to be considered, i.e. an estimation of the annual income 
corresponding to that income component or source of income divided by twelve.

In case the information is extracted from administrative data and –for one or more of the income components– it is available on 
gross income, the information on net income corresponding to the income components should be calculated by subtracting 
taxes and social security contributions, in line with the variable definition. The information extracted from administrative data 
should correspond to the most up-to-date information available at the time of data transmission to Eurostat, in order to reflect 
the current household income situation.

Not only can this overcome the dispersion of income levels across countries in Europe, the use of quintiles can also avoid threats 
to comparability caused by the use of different concepts by different countries (e.g. gross versus net earnings, whether or not 
including regular monthly bonuses, whether or not including 1/12th of the annual bonuses, whether or not including an estimate 
of the value of paymentsinkind, etc.).

Reference question

The  reference  question  for  the  variable  consists  of  two  parts.  First,  the  respondent  is  asked  to  provide  an  actual  net  current 
monthly household income value. All the income components need to be enumerated, either in separate questions or as part of 
the same question (see example below):

“Please take into account all sources of cash (money) income of all household members: Income from work (employment and 
self-employment), social benefits, and other sources of cash income (e.g. from capital and investments or inter-household cash 
transfers received).

What is the [net] monthly [cash/money] income of your household after deduction of taxes and contributions to social security 
and pensions (deducting cash transfers paid to other households, e.g. alimony or child support payments)? If income varies 
between months, please give a monthly average.” [Exact figure to be provided]

Second, in case of nonresponse (i.e. respondent not able or willing to provide an exact value) the respondent is asked to provide 
an  approximate  income  range.  The  cut-off  values  between  income  bands  should  be  presented  in  the  national  currency.  It  is 
recommended considering 15 or more income bands as good practice, or in any case no fewer than 10 (see example below).

“If you do not know the exact amount, could you estimate which of the following intervals best represents the total net monthly 
income of your household?

0 to under [1st cut-off value]

[1st cut-off value] to under [2nd cut-off value]

[2nd cut-off value] to under [3rd cut-off value]

[3rd cut-off value] to under [4th cut-off value]

[4th cut-off value] to under [5th cut-off value]

[5th cut-off value] to under [6th cut-off value]

[6th cut-off value] to under [7th cut-off value]

[7th cut-off value] to under [8th cut-off value]

[8th cut-off value] to under [9th cut-off value]

[9th cut-off value] to under [10th cut-off value]

[10th cut-off value] to under [11th cut-off value]

[11th cut-off value] to under [12th cut-off value]

[12th cut-off value] to under [13th cut-off value]

[13th cut-off value] to under [14th cut-off value]

[14th cut-off value] or above

Not stated.”

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2

2.3.3.7.8. Disability and other elements of the minimum European health module

G19: Limitation in activities because of health problems (self-perceived health status)

DISABILITY AND OTHER ELEMENTS OF THE EUROPEAN HEALTH MODULE

G19.

Limitation in activities because of health problems

(self-perceived health status)

o Severely limited

o Limited but not severely

o Not limited at all

The variable reports on participation restriction through long-standing limitation (6 months or more) in activities that people 
usually do because of health problems, and its severity. It measures the respondent’s self-assessment of whether they are limited 
(in “activities people usually do”) by any on-going physical, mental or emotional health problem, including disease or impairment, 
and old age. Consequences of injuries/accidents, congenital conditions, etc., are all included. Only the limitations directly caused 
by or related to one or more health problems are considered. Limitations due to financial, cultural or other none health-related 
causes should not be taken into account. 

An activity is defined as: ‘the performance of a task or action by an individual’ and thus activity limitations are defined as ‘the 
difficulties the individual experiences in performing an activity’. People with long-standing limitations due to health problems have 
passed through a process of adaptation which may have resulted in a reduction of their activities. To be able to identify existing 
limitations a reference is necessary and therefore the activity limitations are assessed against a generally accepted population 
standard, relative to cultural and social expectations by referring only to ‘activities people usually do’. Usual activities cover all 
spectrums of activities: work or school, home and leisure activities. 

The  purpose  of  the  variable  is  to  measure  the  presence  of  long-standing  limitations,  as  the  consequences  of  such  long-
standing limitations (e.g. care, dependency) are more serious. Temporary or short-term limitations are excluded. 

The period of at least the past 6 months is strictly related to the duration of the activity limitation and not to the duration of 
the health problem. The limitations must have started at least six months earlier and still exist at the moment of the interview. 
This means that a positive answer (‘severely limited’ or ‘limited but not severely’) should be recorded only if the person is currently 
limited and has been limited in activities for at least the past 6 months. 

New limitations which have not yet lasted 6 months but are expected to continue for more than 6 months shall not be taken into 
consideration, even if usual medical knowledge would suggest that the health problem behind a new limitation is very likely to 
continue for a long time or for the rest of the life of the respondent (such as for diabetes type 1). One reason is that in terms of 
activity limitation it may be possible to counteract at some point negative consequences for activity limitations by using assisting 
devices or personal assistance. The activity limitations of the same health problem may also depend on the individual person and 
circumstances, and only past experience can provide a safe answer.

This variable can be used as a proxy for disability.

The  response  categories  include  three  levels  to  better  differentiate  the  severity  of  activity  limitations:  severely  limited  (severe 
limitations), limited but not severely (moderate limitations), not limited at all (no limitations). 

‘Severely limited’ means that performing or accomplishing an activity cannot be done or only done with extreme difficulty, and 
that this situation has been ongoing for at least the past 6 months. Persons in this category usually cannot do the activity alone 
and would need further help from other people. 

‘Limited but not severely’ means that performing or accomplishing a usual activity can be done but only with some difficulties, 
and that this situation has been ongoing for at least the past 6 months. Persons in this category usually do not need help from 
other persons. When help is provided it is usually less often than daily.

Persons with recurring or fluctuating health conditions should refer to the most common (most frequent) situation impacting 
their usual activities. People with conditions where several activity domains are affected but to different extent (less impact in 
some domains but more impact in some other domains) should make an overall evaluation of their situation and prioritize more 
common activities.

‘Not  limited  at  all’  means  that  performing  or  accomplishing  usual  activities  can  be  done  without  any  difficulties,  or  that  any 
possible activity limitation has NOT been going on for at least the past 6 months (i.e. it is not a long-standing limitation).

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The category ‘not applicable’ is to be used to count statistical units which are part of the population of the data source but for 
which it systematically does not report any information on the variable (e.g. persons below a certain age).

Reference question

The  reference  question  was  originally  developed  as  a  single-question  instrument  by  the  Euro-REVES(29)  project.  This  single-
question  version  was  implemented  in  EU-SILC  and  in  the  European  Health  Interview  Survey  (‘EHIS’).  However,  following 
concerns about the length and complexity of the single-question version (four concepts in one question) and experience with 
its implementation, several studies aiming at simplifying and improving GALI were carried out. This led to the development of 
a  routed,  two-question  version.  This  routed  version  aims  at  making  GALI  better  and  easier  to  understand  for  respondents,  in 
particular in telephone interviews and self-administered questionnaires. The routed version is to be implemented in all EU social 
micro-data collections concerned. However, the data should always be transmitted to Eurostat as one single variable.

The recommended two-question instrument is as follows: 

QUESTION_1: “Are you limited because of a health problem in activities people usually do? Would you say you are… severely 
limited, limited but not severely, or not limited at all?”

If answer to QUESTION_1 is ‘severely limited’ or ‘limited but not severely’ ask QUESTION_2:

QUESTION_2: “Have you been limited for at least the past 6 months? Yes, No”.

2.3.3.7.9. Interview duration 

G20: Interview duration

INTERVIEW DURATION

G20.

Interview duration

<__ __ __> min

This variable corresponds to the time of the interview for each individual, including all questions asked to the individual. The time 
of the interview should be expressed in minutes.

(29)  More information can be found at: http://reves.site.ined.fr/en/home/regional_networks/euro_reves/

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micro data and transmit data. 

3.1. General description 

Data files on the use of ICT in households and by individuals transmitted to Eurostat include statistical data elements specified in 
the Implementing Act. The Implementing Act lists 134 mandatory variables and 24 optional variables.  

Metadata complement these data. 

3.2. Transmission format for the use of ICT in 
households and by individuals

This section shows how the 2022 micro-data from the ICT Households survey should be compiled and sent to Eurostat. 

Each data transmission is assumed to be a full transmission. New transmissions will replace previous transmissions.

For the content validation tool and Eurostat to be able to process the data, it must be transmitted as shown below. Extra columns 
or codes will not be recognised. The comments fields are used to indicate clearly any deviations Eurostat should be aware of – 
critical for ensuring the fullest data comparability for users of Eurostat data. Non-comparable data will not be published.

The examples given in this section are laid out as they are for ease of reading only.

3.2.1. Record structure and transmission of micro-data

The data must be sent as three TXT (tab-separated) files:

1.  Header file HDR: contains information on the data that is being sent

2.  Data file HH:  data on households

3.  Data file IND: data on individuals. 

Since 2017, the naming conventions for datasets are:

•  for the header file: INFOSOC_HHUHDR_A  

•  for the households data file: INFOSOC_HHUDHH_A

•  for the individuals data file: INFOSOC_HHUDIND_A

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In each of the data files, lines represent the individual answers, while columns represent the different variables. Upper case file 
headers must be used. 

For  Eurostat  to  be  able  to  treat  the  data  correctly,  the  data  MUST  be  transmitted  in  the  TXT  format  shown  here.  Extra 
columns or codes will not be recognised.

In the data files, the first line contains the column names (in upper case), while the other lines contain the data, one line for each 
record. Columns are delimited by a tab character.

The decimal point, if used, must be a period (.), not a comma. 

Empty values should not be replaced with a space or a hyphen or anything else. Just leave the field blank and use 2 consecutive 
tabs. 

The examples given in this document are laid out as they are for ease of reading only.  

3.2.1.1. HEADER FILE

The purpose of the header file is to automatically identify the data transmitted. The header labels must be named exactly as 
specified in the first line below (in upper case), with no spaces.

REFERENCEYEAR

COUNTRYCODE

2022

BE

REFERENCEYEAR

COUNTRYCODE

2022

BE

Column 1 - REFERENCEYEAR

The reference year should contain four digits, e.g. 2022.

Column 2 - COUNTRYCODE

SURVEY

UHH

SURVEY

UHH

EMBARGODATE

01/12/2022

EMBARGODATE

:

The country code should follow the 2 alpha ISO code. The codes to be used are:

BE, BG, CZ, DK, DE, EE, IE, EL, ES, FR, HR, IT, CY, LV, LT, LU, HU, MT, NL, AT, PL, PT, RO, SI, SK, FI, SE, IS, LI, NO, CH, ME, 
MK, AL, RS, TR, BA, XK.

Column 3 - Survey

The following code is used:

UHH – Households/Individuals ICT survey (micro-data)

Column 4 - EmbargoDate (if any)

DD/MM/YYYY – example: 1.12.2022. This would mean that data should not be published before 1 December 2022.   
If there is no embargo a colon is inserted (:). 

Example of header file:

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Data transmission

3

3.2.1.2. HOUSEHOLDS FILE

This  file  contains  the  data  for  the  questions  put  to  households.  The  codes  to  be  used  as  column  labels  (in  upper  case)  are 
presented in Section 3.2.2.1.

Example of households file:

3.2.1.3. INDIVIDUALS FILE

This  file  contains  the  data  for  the  questions  put  to  individuals.  The  codes  to  be  used  as  column  labels  (in  upper  case)  are 
presented in Section 3.2.2.2.

Example of individuals file:

Information on statistical reliability

After aggregating the micro-data, Eurostat calculates and disseminates several indicators (proportions, percentages, etc.), such 
as the proportion of individuals aged 16-24 having used the internet in the last 3 months. This indicator is computed by dividing 
the number of individuals aged 16-24 having used the internet in the last 3 months by the total number of individuals aged 16-24. 

When computing these ratios, Eurostat will flag any result for which the denominator is generated using less than 20 households/
individuals as ‘unreliable’ and not publish it at national level. Eurostat will publish and flag as ‘unreliable’ any result for which the 
denominator is generated using 20 to 49 households/individuals. 

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3.2.2. Codification of micro-data

NSI conduct surveys using the model questionnaire presented in Chapter 2. The following sections explain how to codify the 
micro-data gathered using the model questionnaire. This codification enables Eurostat to process the micro-data. 

The detailed codification of the list of variables available in the micro-data sets is provided for households in Section 3.2.2.1 and 
for individuals in Section 3.2.2.2.

3.2.2.1. VARIABLES ON HOUSEHOLDS

Variable name

Code

Description

Filter/Remarks

 Module A: Access to ICT

A1: Do you or anyone in your household have access to the internet 
at home?

All households

IACC

(by any device)

(tick one)

Yes

No

Don’t know

1

0

8

Blank

Not stated

Technical items – Households

Household ID

HH_ID

XXnnnnnnn Unique  id  of  the  household  (2  letters  for  country  code,  then 

maximum 22 digits)

Household Weight

All households

All households

HH_WGHT

Nnnnnn.
nnnnnn

Grossing up factor of the household (As many digits as necessary. 
Use decimal point if needed)

STRATUM_ID

Nnnnnn

Id of the stratum the individual or the household belongs to

Stratum Id

All households

(From 1 to N, where N is the number of strata)

-1

If no stratification

PSU

Nnnnnn

Id  of  the  primary  sampling  unit  the  individual  or  the  household 
belongs to (from 1 to N, where N is the number of PSUs)

Primary sampling unit

All households

-1

Not applicable

Localisation

Note:  NUTS  codes  should  use  the  new  NUTS  2021  classification. 
For  details,  see  the  Explanatory  notes  of  the  2021  Methodological 
manual for this survey. 

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Data transmission

3

Variable name

Code

Description

G12: Region of residence – NUTS 1 (OR STATISTICAL REGION 
LEVEL 1)

Filter/Remarks

All households

GEO_NUTS1

XXx

NUTS 1 code (3 characters, alphanumeric)

G13: Region of residence – NUTS 2 (OR STATISTICAL REGION 
LEVEL 2)

All households

GEO_NUTS2

(optional)

XXxx

Blank

NUTS 2 code (4 characters, alphanumeric)

Option not included

Region  of  residence  –  NUTS  3  (OR  STATISTICAL  REGION 
LEVEL 3)

All households

GEO_NUTS3

(optional)

XXxxx

Blank

NUTS 3 code (5 characters, alphanumeric)

Option not included

G14: Geographical location

All households

Note:  From  2021  onwards,  the  classification  of  regions  is  done 
according  to  the  New  Cohesion  Policy  that  distinguishes  the 
following types of regions according to their levels of development. 
For  details,  see  the  Explanatory  notes  of  the  2021  Methodological 
manual for this survey.

GEO_DEV

DEG_URBA

1

2

3

Less developed region

Transition region

More developed region

Blank

Not stated (use this code if your country is not part of EU-27)

G15: Degree of urbanisation

Cities (Densely populated area)

Towns and suburbs (Intermediate density area)

Rural areas (Thinly populated area)

1

2

3

Household composition

All households

HH_POP

Nn

Number of members (including children)

G16: Number of members in the household

All households

HH_POP_16_24

(optional)

HH_POP_16_24S

(optional)

HH_POP_25_64

(optional)

Nn

Blank

Nn

Blank

Nn

Blank

Number of members of the household aged from 16 to 24

Option not included

Number of students of the household aged from 16 to 24

Option not included

Number of members of the household aged from 25 to 64

Option not included

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3 Data transmission

Variable name

Code

Description

Filter/Remarks

HH_POP_65_MAX

Nn

Number of members of the household aged more than or equal to 
65

(optional)

Blank

Option not included

HH_CHILD

Nn

Number of children

G17: of which, number of children under 16

All households

HH_CHILD_14_15

(optional)

HH_CHILD_5_13

(optional)

HH_CHILD_LE_4

(optional)

HH_IQ5

Nn

Blank

Nn

Blank

Nn

Blank

1

2

3

4

5

Number of children aged from 14 to 15

Option not included

Number of children aged from 5 to 13

Option not included

Number of children aged less than or equal to 4

Option not included

Total monthly income

G18: Total average net current monthly income

All households

Lowest equivalised net current monthly income group

Low to medium equivalised net current monthly income group

Medium equivalised net current monthly income group

Medium to high equivalised net current monthly income group

Highest equivalised net current monthly income group

Blank

Not stated

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Data transmission

3

3.2.2.2. Variables on individuals

 Variable name

 Code

Description

Filter/Remarks 

Module B: Use of the internet

B1: When did you last use the internet?

All individuals

IU

IFUS

(Filter question)

(tick one)

1

2

3

4

Within the last 3 months

Between 3 months and a year ago

More than 1 year ago

Never used it

Blank

Not stated

B2:  How often on average did you use the internet in the last 3 
months?

Individuals 
where IU=1

(tick one)

Several times during the day

Once a day or almost every day

At least once a week (but not every day)

Less than once a week

Not applicable (IU=Blank or IU<>1)

1

2

3

4

9

Blank

Not stated

B3: For which of the following activities did you use the internet 
(including via apps) in the last 3 months for private purpose?

Individuals 
where IU=1

(tick all that apply)

Communication

IUEM

a) Sending / receiving e-mails

IUPH1

IUSNET

1

0

9

1

0

9

1

0

9

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

b) Making calls (including video calls) over the internet, for example, via 
Skype, Messenger, WhatsApp, Facetime, Viber, Snapchat

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

c) Participating in social networks (creating a user profile, posting messages 
or other contributions to Facebook, Twitter, Instagram, Snapchat, etc.)

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

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European compilers’ manual for statistics on the use of ICT in households and by individuals  
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3 Data transmission

 Variable name

 Code

Description

Filter/Remarks 

IUCHAT1

d)  Using  instant  messaging,  i.e.  exchanging  messages,  for  example,  via 
Skype, Messenger, WhatsApp, Viber, Snapchat

1

0

9

1

0

9

1

0

9

1

0

9

1

0

9

1

0

9

1

0

9

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

Access to information

e) Finding information about goods or services

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

f) Reading online news sites / newspapers / news magazines

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

Civic and political participation

g) Expressing opinions on civic or political issues on websites or in social 
media (e.g. Facebook, Twitter, Instagram, YouTube)

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

h) Taking part in online consultations or voting to define determine civic 
or political issues (e.g. urban planning, signing a petition)

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

Use of entertainment

i)  Listening  to  music  (e.g.  web  radio,  music  streaming)  or  downloading 
music

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

j) Watching internet streamed TV (live or catch-up) from TV broadcasters 
(e.g. [national examples])

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

IUIF

IUNW1

IUPOL2

IUVOTE

IUMUSS1

IUSTV

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 European compilers’ manual for statistics on the use of ICT in households and by individuals 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Variable name

 Code

Description

Filter/Remarks 

Data transmission

3

IUVOD

IUVSS

IUPDG

IUPCAST

(optional)

IHIF

IUMAPP

IUAPR

IUOHC

k)  Watching  Video  on  Demand  from  commercial  services  (e.g.  Netflix, 
HBO GO, Amazon Prime, Maxdome, Apple TV)

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

l) Watching video content from sharing services (e.g. YouTube)

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

m) Playing or downloading games

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

n) Listening to podcasts or downloading podcasts

Ticked

Not ticked

1

0

9

1

0

9

1

0

9

1

0

Blank

Option not included

9

Not applicable (IU=Blank or IU<>1)

e-Health

1

0

9

1

0

9

1

0

9

o)  Seeking  health-related  information  (e.g.  injuries,  diseases,  nutrition, 
improving health, etc.)

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

p) Making an appointment with a practitioner via a website or app (e.g. of 
a hospital or a health care centre)

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

q) Accessing personal health records online

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

r) Using other health services via a website or app instead of having to 
go  to  the  hospital  or  visit  a  doctor  (e.g.  by  getting  a  prescription  or  a 
consultation online)

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European compilers’ manual for statistics on the use of ICT in households and by individuals  
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3 Data transmission

1

0

9

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

 Variable name

 Code

Description

Filter/Remarks 

Other online services

s)  Selling  goods  or  services  via  a  website  or  app  (e.g.  eBay,  Facebook, 
Marketplace, Shpock)

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

t) Internet banking (including mobile banking)

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

B4: Have you conducted either of the following learning 
activities over the internet for educational, professional or 
private purposes in the last 3 months?

Individuals 
where IU=1

(tick all that apply)

a) Doing an online course

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

b) Using online learning material other than a complete online course (e.g. 
video tutorials, webinars, electronic textbooks, learning apps or platforms)

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

c) Communicating with educators or learners using audio or video online 
tools (e.g. Zoom, MS Teams, Google Classroom, [national examples], etc.)

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

1

0

9

1

0

9

1

0

9

1

0

9

1

0

9

IUSELL

IUBK

IUOLC

IUOLM

 IUOCIS1

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 European compilers’ manual for statistics on the use of ICT in households and by individuals 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Data transmission

3

 Variable name

 Code

Description

B5:  What  was  the  purpose  of  the  learning  activities  you 
participated in in the last 3 months?

(tick all that apply)

Filter/Remarks 

Individuals 
where IUOLC=1 
or IUOLM=1 or 
IUOCIS1=1 

IUOFE

a) For formal education (e.g. school or university)

IUOW

 IUOPP

IGOVIP

IGOVIDB

1

0

9

1

0

9

1

0

9

1

0

9

1

0

9

Ticked

Not ticked

Not  applicable  ((IUOLC=Blank  or 
IUOLM<>1) and (IUOCIS1=Blank or IUOCIS1<>1))

IUOLC<>1)  and  (IUOLM=Blank  or 

b) For professional/work related purposes

Ticked

Not ticked

Not  applicable  ((IUOLC=Blank  or 
IUOLM<>1) and (IUOCIS1=Blank or IUOCIS1<>1))

IUOLC<>1)  and  (IUOLM=Blank  or 

 c) For private purpose

Ticked

Not ticked

Not  applicable  ((IUOLC=Blank  or 
IUOLM<>1) and (IUOCIS1=Blank or IUOCIS1<>1))

IUOLC<>1)  and  (IUOLM=Blank  or 

Module C: Use of e-Government

C1:  Have  you  performed  any  of  the  following  activities  via  a 
website  or  an  app  of  public  authorities  or  public  services  for 
private purposes in the last 12 months?

Individuals 
where IU=1 or 
IU=2

(tick all that apply or d))

a)  Accessed  information  stored  about  you  by  public  authorities  or 
public  services  (e.g.  information  regarding  [pension],  [health  [including 
government health application]], [national examples])

Ticked

Not ticked

Not applicable (IU=Blank or (IU<>1 and IU<>2))

b)  Accessed 
information  from  public  databases  or  registers  (e.g. 
information  about  availability  of  books  in  public  libraries,  cadastral 
registers, about enterprises)

Ticked

Not ticked

Not applicable (IU=Blank or (IU<>1 and IU<>2))

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3 Data transmission

IGOV12IF

c) Obtaining information (e.g. about services, benefits, entitlements, laws, 
opening hours)

1

0

9

Ticked

Not ticked

Not applicable (IU=Blank or (IU<>1 and IU<>2))

 Variable name

 Code

Description

Filter/Remarks 

IGOVIX

d)  Respondent  has  not  accessed  any  personal  records  or  databases  or 
obtained  any  information  via  a  website  or  app  of  public  authorities  or 
public services for private purposes in the last 12 months

Individuals 
where IGOVIP=0 
and IGOVIDB=0 
and IGOV12IF=0

1

0

9

1

0

IGOV12FM

Ticked

Not ticked

Not applicable ((IGOVIP =Blank and IGOVIP<>0) or (IGOVIDB =Blank and 
IGOVIDB<>0) or (IGOV12IF =Blank and IGOV12IF<>0))

C2:  Have  you  downloaded/printed  any  official  forms  from  a 
website or app of public authorities or public services for private 
purposes in the last 12 months?

Individuals 
where IU=1 or 
IU=2

(tick one)

Ticked

Not ticked

Blank

Not stated

9

Not applicable (IU=Blank or (IU<>1 and IU<>2))

C3: Have you made any appointment or reservation via a 
website or app with public authorities or public services (e.g. 
reservation of a book in a public library, appointment with a 
government civil servant or a state healthcare provider) for 
private purposes in the last 12 months?

Individuals 
where IU=1 or 
IU=2

IGOVAPR

1

0

Ticked

Not ticked

Blank

Not stated

9

Not applicable (IU=Blank or (IU<>1 and IU<>2))

C4:  Have  you  received  any  official  communication/document 
via  your  account  on  a  website  or  app  [name  of  the  service  -  if 
applicable  in  the  country]  of  public  authorities  or  services 
(e.g.  notifications  of  fines  or  invoices:  letters,  service  of  court 
summons,  court  documents,  [national  examples])  for  private 
purpose in the last 12 months? (Exclude usage of e-mail or SMS 
based information messages or notifications that a document is 
available)

Individuals 
where IU=1 or 
IU=2

(tick one)

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 European compilers’ manual for statistics on the use of ICT in households and by individuals 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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3

IGOVPOST

 optional

1

0

Ticked

Not ticked

Blank

Option not included

9

Not applicable (IU=Blank or (IU<>1 and IU<>2))

 Variable name

 Code

Description

Filter/Remarks 

C5: Have you submitted your tax declaration via a website or app 
for private purpose in the last 12 months?

Individuals 
where IU=1 or 
IU=2

IGOVTAX1

1

2

3

4

5

(tick one)

Yes, I did it myself

No,  it  was  done  automatically  (by  the  tax  authority,  employer,  other 
authority)

No, I delivered it to the tax authority in paper format

No, someone else did it on my behalf (e.g. family member, tax adviser)

No, for other reasons (e.g. not subject to income tax)

Blank

Not stated

9

Not applicable (IU=Blank or (IU<>1 and IU<>2))

C6:  Have  you  performed  any  of  the  following  activities  via  a 
website or app of public authorities or public services for private 
purpose in the last 12 months?

Individuals 
where IU=1 or 
IU=2

(tick all that apply)

IGOVODC

IGOVBE

IGOVRCC

a)  Requested  official  documents  or  certificates  (e.g.  graduation,  birth, 
marriage, divorce, death, residence certificates, police or criminal records, 
[national examples])

Ticked

Not ticked

Not applicable (IU=Blank or (IU<>1 and IU<>2))

b) Requested benefits or entitlements (e.g. pension, unemployment, child 
allowance, enrolment in schools, universities, [national examples])

Ticked

Not ticked

Not applicable (IU=Blank or (IU<>1 and IU<>2))

c)  Made  other  requests,  claims  or  complaints  (e.g.  report  theft  to  the 
police,  launch  a  legal  complaint,  request  legal  aid,  initiate  a  civil  claim 
procedure in front of a court, [national examples])

Ticked

Not ticked

Not applicable (IU=Blank or (IU<>1 and IU<>2))

1

0

9

1

0

9

1

0

9

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3 Data transmission

C7:  What  were  the  reasons  for  not  requesting  any  official 
documents  or  not  making  any  claims  via  a  website  or  app  of 
public authorities or public services in the last 12 months?

(tick all that apply or a))

Individuals 
where 
IGOVODC=0 and 
IGOVBE=0 and 
IGOVRCC=0

IRGOVNN

a) I did not have to request any documents or to make any claims

1

0

9

Ticked

Not ticked

Not applicable ((IGOVODC IS NOT NULL and IGOVODC<>0) or (IGOVBE IS 
NOT NULL and IGOVBE<>0) or (IGOVRCC IS NOT NULL and IGOVRCC<>0))

 Variable name

 Code

Description

Filter/Remarks 

IRGOVLS

b) Lack of skills or knowledge (e.g. did not know how to use the website/
app or it was too complicated to use)

1

0

9

1

0

9

1

0

Ticked

Not ticked

Not applicable ((IGOVODC IS NOT NULL and IGOVODC<>0) or (IGOVBE IS 
NOT NULL and IGOVBE<>0) or (IGOVRCC IS NOT NULL and IGOVRCC<>0))

c) Concerns about the security of personal data or unwillingness to pay 
online (credit card fraud)

Ticked

Not ticked

Not applicable ((IGOVODC IS NOT NULL and IGOVODC<>0) or (IGOVBE IS 
NOT NULL and IGOVBE<>0) or (IGOVRCC IS NOT NULL and IGOVRCC<>0))

d)  Lack  of  electronic  signature,  activated  electronic  identification  (eID) 
or any other tool to use the eID (required for using the service) [national 
examples]

Ticked

Not ticked

Blank

Option not included

9

1

0

9

1

0

Not applicable ((IGOVODC IS NOT NULL and IGOVODC<>0) or (IGOVBE IS 
NOT NULL and IGOVBE<>0) or (IGOVRCC IS NOT NULL and IGOVRCC<>0))

e) Another person did it on my behalf (e.g. consultant, adviser, relative)

Ticked

Not ticked

Not applicable ((IGOVODC IS NOT NULL and IGOVODC<>0) or (IGOVBE IS 
NOT NULL and IGOVBE<>0) or (IGOVRCC IS NOT NULL and IGOVRCC<>0))

f) Other reason

Ticked

Not ticked

IRGOVSEC

IRGOVEID

(optional)

IRGOVOP

IRGOVOTH

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Data transmission

3

IGOVANYS

IIGOVDU

9

9

1

0

1

0

9

Not applicable ((IGOVODC IS NOT NULL and IGOVODC<>0) or (IGOVBE IS 
NOT NULL and IGOVBE<>0) or (IGOVRCC IS NOT NULL and IGOVRCC<>0))

Derived value (Eurostat computed)

IF IU=Blank or IU NOT IN(1, 2) THEN 9

ELSE  IF  IGOVIP=1  or  IGOVIDB=1  or  IGOV12IF=1  or  IGOV12FM=1  or 
IGOVAPR=1 or IGOVPOST=1 or IGOVTAX1=1 or IGOVODC=1 or IGOVBE=1 
or IGOVRCC=1 THEN 1

ELSE 0

C8: Have you encountered any of the following issues when using 
a website or app of public authorities or public services in the last 
12 months?

Individuals 
where 
IGOVANYS=1

(tick all that apply or g))

a)  Website  or  app  was  difficult  to  use  (e.g.  it  was  not  user-friendly,  the 
wording was not clear, procedure was not well explained)

Ticked

Not ticked

Not applicable (IGOVANYS=Blank or IGOVANYS<>1)

 Variable name

 Code

Description

Filter/Remarks 

IIGOVTP

b) Technical problems experienced when using website or app (e.g. long 
loading, website crashed)

Ticked

Not ticked

Not applicable (IGOVANYS=Blank or IGOVANYS<>1)

c) Problems in using the electronic signature or electronic identification 
(eID)

1

0

Ticked

Not ticked

Blank

Option not included

9

1

0

Not applicable (IGOVANYS=Blank or IGOVANYS<>1)

d) Not able to pay via the website or app (e.g. due to lack of access to the 
payment methods required)

Ticked

Not ticked

Blank

Option not included

9

1

Not applicable (IGOVANYS=Blank or IGOVANYS<>1)

e)  Not  able  to  access  the  service  on  smartphone  or  tablet  (e.g.  non 
compatible device version or non-available applications)

Ticked

IIGOVEID

(optional)

IIGOVPAY

(optional)

IIGOVMOB

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IIGOVOTH

IIGOVX

0

9

1

0

9

1

0

9

Not ticked

Not applicable (IGOVANYS=Blank or IGOVANYS<>1)

f) Other issue

Ticked

Not ticked

Not applicable (IGOVANYS=Blank or IGOVANYS<>1)

g) I have not encountered any issues

Ticked

Not ticked

Not applicable (IGOVANYS=Blank or IGOVANYS<>1)

 Variable name

 Code

Description

Filter/Remarks 

 Module D: Use of e-commerce

D1: When did you last buy or order goods or services for private 
use over the internet?

Individuals 
where IU=1 or 
IU=2

(tick one)

IBUY

1

2

3

4

Within the last 3 months

Between 3 months and a year ago

More than 1 year ago

Never bought or ordered over the internet

Blank

Not stated

9

Not applicable (IU=Blank or (IU<>1 and IU<>2))

D2: Did you buy any of the following goods via a website or app 
for private use in the last 3 months? 
Include online purchases from enterprises or private persons, 
including used goods.

Individuals 
where IBUY=1

(tick all that apply)

a)  Clothes  (including  sports  clothing),  shoes  or  accessories  (e.g.  bags, 
jewellery) 

1

0

9

1

0

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

b) Sports goods (excluding sports clothing) 

Ticked

Not ticked

BCLOT1

BSPG

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 European compilers’ manual for statistics on the use of ICT in households and by individuals 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Data transmission

3

BCG

BFURN1

BMUSG

9

1

0

9

1

0

9

1

0

9

Not applicable (IBUY=Blank or IBUY<>1)

c) Children’s toys or childcare items (e.g. nappies, bottles, baby strollers)

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

d)  Furniture,  home  accessories  (e.g.  carpets  or  curtains)  or  gardening 
products (e.g. tools, plants)

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

e) Music as CDs, vinyls etc.

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

 Variable name

 Code

Description

Filter/Remarks 

BFLMG

f) Films or series as DVDs, Blu-ray etc. 

BBOOKNLG

BHARD1

BEEQU1

1

0

9

1

0

9

1

0

9

1

0

9

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

g) Printed books, magazines or newspapers

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

h) Computers, tablets, mobile phones or accessories

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

i)  Consumer  electronics  (e.g.  TV  sets,  stereos,  cameras,  sound  bars  or 
smart speakers, virtual assistants) or household appliances (e.g. washing 
machines)

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

BMED1

j)  Medicine  or  dietary  supplements  such  as  vitamins  (online  renewal  of 
prescriptions is not included)

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European compilers’ manual for statistics on the use of ICT in households and by individuals  
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3 Data transmission

BFDR

BFDS

BCBW

BCPH

1

0

9

1

0

9

1

0

9

1

0

9

1

0

9

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

k) Deliveries from restaurants, fast-food chains, catering services

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

l) Food or beverages from stores or from meal-kit providers 

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

m) Cosmetics, beauty or wellness products

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

n)  Cleaning  products  or  personal  hygiene  products  (e.g.  toothbrushes, 
handkerchiefs, washing detergents, cleaning cloths)

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

 Variable name

 Code

Description

Filter/Remarks 

BBMC

o) Bicycles, mopeds, cars, or other vehicles or their spare parts

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

p) Other physical goods

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

Derived value (Eurostat computed)

IF IBUY=Blank or IBUY<>1 THEN 9

ELSE  IF  BCLOT1=1  or  BSPG=1  or  BCG=1  or  BFURN1=1  or  BMUSG=1  or 
BFLMG=1  or  BBOOKNLG=1  or  BHARD1=1  or  BEEQU1=1  or  BMED1=1  or 
BFDR=1 or BFDS=1 or BCBW=1 or BCPH=1 or BBMC=1 or BOPG=1 THEN 1

ELSE 0

1

0

9

1

0

9

9

1

0

BOPG

BPG_ANY

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 European compilers’ manual for statistics on the use of ICT in households and by individuals 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Data transmission

3

D3: From whom did you buy the mentioned goods via a website 
or  app  in  the  last  3  months?  Include  online  purchases  from 
enterprises or private persons.

Individuals 
where BPG_
ANY=1

(tick all that apply)

BPG_DOM

a) National sellers

BPG_EU

BPG_WRLD

BPG_UNK

1

0

9

1

0

9

1

0

9

1

0

9

Ticked

Not ticked

Not applicable (BPG_ANY=Blank or BPG_ANY<>1)

b) Sellers from other EU countries

Ticked

Not ticked

Not applicable (BPG_ANY=Blank or BPG_ANY<>1)

c) Sellers from the rest of the world

Ticked

Not ticked

Not applicable (BPG_ANY=Blank or BPG_ANY<>1)

d) Country of origin of sellers is not known

Ticked

Not ticked

Not applicable (BPG_ANY=Blank or BPG_ANY<>1)

 Variable name

 Code

Description

Filter/Remarks 

D4:  Did  you  buy  any  of  the  mentioned  goods  from  private 
persons via a website or app (e.g. on eBay, Facebook Marketplace, 
[national examples])?

Individuals 
where BPG_
ANY=1

BPG_PP

(tick one)

1

0

Yes

No

Blank

Not stated

9

Not applicable (BPG_ANY=Blank or BPG_ANY<>1)

D5: Did you buy or subscribe to any of the following via a website 
or app for private use in the last 3 months?

Individuals 
where IBUY=1

BMUSS

a) Music as a streaming service or downloads

(tick all that apply)

1

0

9

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

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European compilers’ manual for statistics on the use of ICT in households and by individuals  
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3 Data transmission

BFLMS

b) Films or series as a streaming service or downloads

BBOOKNLS

BGAMES

BSOFTS

BHLFTS

BAPP

1

0

9

1

0

9

1

0

9

1

0

9

1

0

9

1

0

9

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

c) E-books, online magazines or online newspapers

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

d) Games online or as downloads for smartphones, tablets, computers or 
consoles

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

e) Computer or other software as downloads including upgrades

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

f) Apps related to health or fitness (excluding free apps)

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

g)  Other  apps  (e.g.  related  to  learning  languages,  travelling,  weather) 
(excluding free apps)

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

 Variable name

 Code

Description

Filter/Remarks 

D6: Did you buy any of the following via a website or app for private use 
in the last 3 months?

Individuals 
where IBUY=1

(tick all that apply)

BSTICK

a) Tickets to sports events

1

0

9

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

BCTICK

b) Tickets to cultural or other events (cinema, concerts, fairs, etc.)

84

 European compilers’ manual for statistics on the use of ICT in households and by individuals 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Data transmission

3

BSIMC

BSUTIL

BHHS

BHHS_PP

1

0

9

1

0

9

1

0

9

1

0

9

1

0

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

c) Subscriptions to the internet or mobile phone connections

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

d) Subscriptions to electricity, water or heating supply, waste disposal or 
similar services

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

e) Household services (e.g. cleaning, babysitting, repair work, gardening) 
(also when bought from private persons) via e.g. Facebook Marketplace, 
[national examples])

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

D7:  Did  you  buy  any  of  the  mentioned  household  services 
via  a  website  or  app  from  private  persons  (e.g.  on  Facebook 
Marketplace, [national examples])?

Individuals 
where BHHS=1

(tick one)

Yes

No

Blank

Not stated

9

Not applicable (BHHS=Blank or BHHS<>1)

 Variable name

 Code

Description

Filter/Remarks 

D8:  Did  you  buy  any  transport  service  via  a  website  or  app  for 
private use in the last 3 months from:

Individuals 
where IBUY=1

(tick all that apply)

BTPS_E

a)  A  transport  enterprise,  e.g.  local  bus,  train,  flight  ticket,  taxi  ride  (e.g. 
[national examples], UBER)

1

0

9

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

85

European compilers’ manual for statistics on the use of ICT in households and by individuals  
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3 Data transmission

BTPS_PP

b) A private person (e.g. [national examples])

1

0

9

1

0

9

1

0

9

1

0

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

D9: Did you rent accommodation via a website or app for private 
use in the last 3 months from:

Individuals 
where IBUY=1

(tick all that apply)

a) Enterprises such as hotels or travel agencies

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

b) A private person (e.g. Airbnb, [national examples])

Ticked

Not ticked

Not applicable (IBUY=Blank or IBUY<>1)

D10:  Did  you  buy  any  other  services  (excluding  financial  and 
insurance  services)  than  those  mentioned  previously  via  a 
website or app for private use in the last 3 months?

Individuals 
where IBUY=1

(tick one)

Yes

No

BRA_E

BRA_PP

BOTS

(optional)

Blank

Option not included

9

Not applicable (IBUY=Blank or IBUY<>1)

D11: Did you carry out any of the following via a website or app 
for private purposes in the last 3 months?

Individuals 
where IU=1

(tick all that apply)

BFIN_IN1

a)  Buy  insurance  policies,  including  travel  insurance,  also  as  a  package 
together with e.g. a plane ticket

1

0

9

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

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 European compilers’ manual for statistics on the use of ICT in households and by individuals 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Data transmission

3

 Variable name

 Code

Description

Filter/Remarks 

BFIN_CR1

b) Take a loan, mortgage or arrange credit from banks or other financial 
providers

BFIN_SH1

IOT_DEM

IOT_DSEC

IOT_DHA

IOT_DVA

1

0

9

1

0

9

1

0

9

1

0

9

1

0

9

1

0

9

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

c) Buy or sell shares, bonds, units in funds or other financial assets

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

 Module E: Internet of Things

E1:  Have  you  used  any  of  the  following  internet-connected 
devices or systems for private purposes?

Individuals 
where IU=1

(tick all that apply or e))

a) Internet-connected thermostat, utility meters, lights, plug-ins or other 
internet-connected solutions for energy management for your home

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

b)  Internet-connected  home  alarm  system,  smoke  detector,  security 
cameras, door locks or other internet-connected security/safety solutions 
for your home

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

c) Internet-connected home appliances such as robot vacuums, fridges, 
ovens, coffee machines

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

d)  A  virtual  assistant  in  the  form  of  a  smart  speaker  or  of  an  app,  such 
as  Google  Home,  Amazon  Alexa/Echo/computer,  Google  Assistant,  Siri, 
Cortana, Bixby

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

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European compilers’ manual for statistics on the use of ICT in households and by individuals  
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3 Data transmission

 Variable name

 Code

Description

Filter/Remarks 

IOT_DX

e) I have not used any of the above

Ticked

Not ticked

Not  applicable 
(IOT_
DSEC<>Blank and IOT_DSEC<>0) or (IOT_DHA<>Blank and IOT_DHA<>0) 
or (IOT_DVA<>Blank and IOT_DVA<>0))

((IOT_DEM<>Blank  and 

IOT_DEM<>0)  or 

Individuals 
where (IOT_
DEM=Blank or 
IOT_DEM=0) and 
(IOT_DSEC=Blank 
or IOT_DSEC=0) 
and (IOT_
DHA=Blank or 
IOT_DHA=0) and 
(IOT_DVA=Blank 
or IOT_DVA=0)

E2:  What  were  the  reasons  for  not  using  any  of  the  mentioned 
internet-connected devices or systems for private purposes?

Individuals 
where IOT_DX=1

(tick all that apply or a))

a) I didn’t know such devices or systems exist

Ticked

Not ticked

Not applicable (IOT_DX=Blank or IOT_DX<>1)

b) I had no need to use those connected devices/systems

Ticked

Not ticked

Not applicable (IOT_BDK=Blank or IOT_BDK<>0)

c) Costs too high

Ticked

Not ticked

Not applicable (IOT_BDK=Blank or IOT_BDK<>0)

d) Lack of compatibility with other devices or systems

Ticked

Not ticked

Not applicable (IOT_BDK=Blank or IOT_BDK<>0)

Individuals 
where IOT_
BDK=0

Individuals 
where IOT_
BDK=0

Individuals 
where IOT_
BDK=0

1

0

9

1

0

9

1

0

9

1

0

9

1

0

9

IOT_BDK

IOT_BNN

IOT_BCST

IOT_BLC

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 European compilers’ manual for statistics on the use of ICT in households and by individuals 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Data transmission

3

IOT_BLSK

e) Lack of skills to use those devices or systems

IOT_BCPP

1

0

9

1

0

9

Ticked

Not ticked

Not applicable (IOT_BDK=Blank or IOT_BDK<>0)

f) Concerns about the privacy and protection of data about me generated 
by those devices or systems

Ticked

Not ticked

Not applicable (IOT_BDK=Blank or IOT_BDK<>0)

Individuals 
where IOT_
BDK=0

Individuals 
where IOT_
BDK=0

 Variable name

 Code

Description

Filter/Remarks 

IOT_BCSC

g) Concerns about security (e.g. that the device or system will be hacked)

IOT_BCSH

IOT_BOTH

IOT_IUTV

1

0

9

1

0

9

1

0

9

1

0

9

Ticked

Not ticked

Not applicable (IOT_BDK=Blank or IOT_BDK<>0)

h)  Concerns  about  safety  or  health  (e.g.  that  the  use  of  the  device  or 
system could lead to an accident, injury or health problem)

Ticked

Not ticked

Not applicable (IOT_BDK=Blank or IOT_BDK<>0)

i) Other reasons

Ticked

Not ticked

Not applicable (IOT_BDK=Blank or IOT_BDK<>0)

Individuals 
where IOT_
BDK=0

Individuals 
where IOT_
BDK=0

Individuals 
where IOT_
BDK=0

E3: Have you used the internet on any of the following devices in 
your home for private purposes?

Individuals 
where IU=1

(tick all that apply)

a) An internet-connected TV

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

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European compilers’ manual for statistics on the use of ICT in households and by individuals  
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3 Data transmission

IOT_IUGC

b) An internet-connected game console

IOT_IUHA

IOT_DCS

1

0

9

1

0

9

1

0

9

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

c) An internet-connected home audio system, smart speakers

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

E4:  Have  you  used  any  of  the  following  internet-connected 
devices for private purposes?

Individuals 
where IU=1

(tick all that apply)

a) A smart watch, a fitness band, connected goggles or headsets, safety 
trackers,  internet-connected  accessories,  internet-connected  clothes  or 
shoes

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

 Variable name

 Code

Description

Filter/Remarks 

b) Internet-connected devices for monitoring blood pressure, sugar level, 
body weight (e.g. smart scales) or other internet-connected devices for 
health and medical care

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

c)  Toys  connected  to  the  internet,  such  as  robot  toys  (including 
educational) or dolls

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

d) A car with built-in wireless internet connection

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

Derived value (Eurostat computed)

IF IU=Blank or IU<>1 THEN 9

1

0

9

1

0

9

1

0

9

9

IOT_DHE

IOT_DTOY

IOT_DCAR

 IOT_USE

90

 European compilers’ manual for statistics on the use of ICT in households and by individuals 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Data transmission

3

ELSE IF IOT_DEM=1 or IOT_DSEC=1 or IOT_DHA=1 or IOT_DVA=1 or IOT_
IUTV=1  or  IOT_IUGC=1  or  IOT_IUHA=1  or  IOT_DCS=1  or  IOT_DHE=1  or 
IOT_DTOY=1 or IOT_DCAR=1 THEN 1

ELSE 0

E5:  Have  you  encountered  any  of  the  following  problems  with  the 
mentioned internet connected devices or systems?

Individuals 
where IOT_
USE=1

(tick all that apply or e))

a)  Security  or  privacy  problems  (e.g.  the  device  or  system  was  hacked, 
problems  with  the  protection  of  information  about  me  and  my  family 
generated by those devices or systems)

Ticked

Not ticked

Not applicable (IOT_USE=Blank or IOT_USE<>1)

b) Safety or health problems (e.g. the use of the device or system lead to 
an accident, injury or health problem)

Ticked

Not ticked

Not applicable (IOT_USE=Blank or IOT_USE<>1)

c) Difficulties with using the device (e.g. setting-up, installing, connecting, 
pairing the device)

Ticked

Not ticked

Not applicable (IOT_USE=Blank or IOT_USE<>1)

 1

 0

1

0

9

1

0

9

1

0

9

 IOT_PSEC

IOT_PSHE

IOT_PDU

 Variable name

 Code

Description

Filter/Remarks 

 IOT_POTH

d) Other problems (e.g. connection problems, support problems)

IOT_PX

1

0

9

1

0

9

Ticked

Not ticked

Not applicable (IOT_USE=Blank or IOT_USE<>1)

e) I have not encountered any problem

Ticked

Not ticked

Not applicable (IOT_USE=Blank or IOT_USE<>1)

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European compilers’ manual for statistics on the use of ICT in households and by individuals  
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3 Data transmission

Module F: Green ICT

F1: What did you do with any of the following devices when you 
replaced or were no longer using them?

Individuals 
where IU=1

ECO_DMOB

A. Mobile or smartphone

(tick one)

a) The device is still kept in my household

b) It was sold or given away

c) It was disposed of in electronic waste collection/recycling (incl. leaving 
it to the retailer to dispose of)

d) It was disposed of but not in electronic waste collection/recycling

e) The device was never bought or is still in use

f) Other

1

2

3

4

5

6

Blank

Not stated

9

1

2

3

4

5

6

Not applicable (IU=Blank or IU<>1)

B. Laptop or tablet

(tick one)

a) The device is still kept in my household

b) It was sold or given away

c) It was disposed of in electronic waste collection/recycling (incl. leaving 
it to the retailer to dispose of)

d) It was disposed of but not in electronic waste collection/recycling

e) The device was never bought or is still in use

f) Other

Blank

Not stated

9

1

2

3

4

5

6

Not applicable (IU=Blank or IU<>1)

C. Desktop computer

(tick one)

a) The device is still kept in my household

b) It was sold or given away

c) It was disposed of in electronic waste collection/recycling (incl. leaving 
it to the retailer to dispose of)

d) It was disposed of but not in electronic waste collection/recycling

e) The device was never bought or is still in use

f) Other

Blank

Not stated

9

Not applicable (IU=Blank or IU<>1)

ECO_DLT

ECO_DPC

92

 European compilers’ manual for statistics on the use of ICT in households and by individuals 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Variable name

 Code

Description

Filter/Remarks 

Data transmission

3

(optional)

ECO_PP

(optional)

ECO_PHD

 (optional)

ECO_PECD

(optional)

ECO_PEG

(optional)

ECO_PEE

(optional)

ECO_PTBS

F2:  When  you  most  recently  bought  a  mobile  or  smartphone, 
tablet,  laptop  or  desktop  computer,  which  of  the  following 
characteristics did you consider?

Individuals 
where IU=1

(tick all that apply or g) or h))

a) Price

Ticked

Not ticked

1

0

Blank

Option not included

9

1

0

Not applicable (IU=Blank or IU<>1)

b) Hard drive characteristics (storage, speed), processor speed

Ticked

Not ticked

Blank

Option not included

9

Not applicable (IU=Blank or IU<>1)

c) Ecodesign of the device e.g. durable, upgradable and reparable designs 
that require fewer materials, environmentally friendly materials used for 
packaging, etc.

1

0

Ticked

Not ticked

Blank

Option not included

9

1

0

Not applicable (IU=Blank or IU<>1)

d)  Possibility  to  extend  the  life  span  of  the  device  by  buying  extra 
guarantee

Ticked

Not ticked

Blank

Option not included

9

1

0

Not applicable (IU=Blank or IU<>1)

e) Energy efficiency of the device

Ticked

Not ticked

Blank

Option not included

9

Not applicable (IU=Blank or IU<>1)

f)  A  take-back  scheme  offered  by  manufacturer  or  seller  (i.e.  the 
manufacturer  or  seller  takes  the  device  which  becomes  obsolete  at  no 
cost or offers discounts to the client to purchase another device)

 (optional)

1

Ticked

93

European compilers’ manual for statistics on the use of ICT in households and by individuals  
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3 Data transmission

0

Not ticked

Blank

Option not included

9

Not applicable (IU=Blank or IU<>1)

 Variable name

 Code

Description

Filter/Remarks 

ECO_PX

(optional)

ECO_PBX

 (optional)

IND_ID

HH_REF_ID

g) Have not considered any of the mentioned characteristics

1

0

Ticked

Not ticked

Blank

Option not included

9

1

0

9

Not applicable (IU=Blank or IU<>1)

h) Never bought any of these devices

Ticked

Not ticked

Not applicable (IU=Blank or IU<>1)

 Technical items – Individuals

Individual ID

All individuals

Unique ID of the individual (2 letters for country code, then maximum 22 
digits)

ID of the household the individual belongs to 

All individuals

ID of the household the individual belongs to (2 letters for country code, 
then maximum 22 digits)

This must match the HH_ID of one household in the HH file. 

Note:

Blank

If the individual is 15 or under, or 75 or over, and belongs to a household 
that only contains people outside the 16-74 age group (e.g. household is 
not in the scope of the survey), this field should be left blank. 

IND_WGHT

Nnnnnn.
nnnnnn

Grossing  up  factor  of  the  individual  (As  many  digits  as  necessary.  Use 
decimal point if needed.)

Individual weight

All individuals

 Demography

G1: Age in completed years

Year of birth

YEARBIR

YYYY

Year of birth (4 digits)

All individuals

PASSBIR

1

Yes

Passing of birthday at the reference date

All individuals

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 European compilers’ manual for statistics on the use of ICT in households and by individuals 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2

No

 Variable name

 Code

Description

AGE

(Derived)

RF_AGE

(Derived)

SEX

Age

Derived value (Eurostat computed)

nnn

IF PASSBIR=1 THEN

REFYEAR – YEARBIR

ELSE REFYEAR - YEARBIR – 1

Derived value (Eurostat computed)

Risk factor – age

Blank

IF AGE=Blank THEN Blank

1

9

0 

1

2

  ELSEIF AGE >= 55 AND AGE <= 74 THEN 1

  ELSEIF AGE < 16 OR AGE > 74 THEN 9

  ELSE 0

G2: Sex

Male

Female

Data transmission

3

Filter/Remarks 

All individuals

All individuals

Citizenship and migrant background

G3: Country of birth

All individuals

CNTRYB

XX

FOR

Country of birth (SCL GEO alpha-2 code)

Foreign-born, but country of birth unknown

Blank

Not stated

G4: Country of main citizenship

All individuals

CITIZENSHIP

XX

STLS

FOR

Blank

Country of main citizenship (SCL GEO alpha-2 code)

Stateless

Foreign citizenship, but country unknown

Not stated

Education attainment and background

G5: Educational attainment level (highest level of education successfully 
completed)

Individuals 
where AGE>=16

ISCEDD

0

1

2

3

4

5

6

No formal education or below ISCED 1

ISCED 1 Primary education

ISCED 2 Lower secondary education

ISCED 3 Upper secondary education

ISCED 4 Post-secondary non-tertiary education

ISCED 5 Short-cycle tertiary education

ISCED 6 Bachelor’s or equivalent level

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3 Data transmission

7

8

ISCED 7 Master’s or equivalent level

ISCED 8 Doctoral or equivalent level

Blank

Not stated

9

Not applicable (AGE=Blank or AGE<16)

 Variable name

 Code

Description

Educational attainment level aggregated

Filter/Remarks 

Individuals 
where AGE>=16

ISCED

0

3

5

At most lower secondary education (ISCEDD=0, 1 or 2)

Upper secondary and post-secondary non-tertiary education (ISCEDD=3 
or 4)

Tertiary education (ISCEDD=5, 6, 7 or 8)

Blank

Not stated

9

Not applicable (AGE=Blank or AGE<16)

Derived value (Eurostat computed)

RF_EDU1

Risk factor – education level

Blank

IF ISCED=Blank THEN Blank

9

1

 0

1

2

3

4

5

6

7

8

ELSEIF ISCED=9 THEN 9

  ELSEIF ISCED=0 THEN 1

  ELSE 0

Labour market participation

G6: Main activity status (self-defined)

Individuals 
where AGE>=16

Employed

Unemployed

Retired

Unable to work due to long-standing health problems

Student, pupil (not in the labour force)

Fulfilling domestic tasks

Compulsory military or civilian service

Other

Blank

Not stated

9

0

1

Not applicable (AGE=Blank or AGE<16)

Derived value (Eurostat computed)

Risk factor – employment status

IF MAINSTAT=Blank THEN Blank

Blank

  ELSEIF MAINSTAT=9 THEN 9

9

  ELSEIF MAINSTAT IN(1,5) THEN 0

  ELSE 1

MAINSTAT

RF_MAINSTAT

(Derived)

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Data transmission

3

Individuals 
where 
MAINSTAT=1

STAPRO

G7: Status in employment in main job

1

2

3

4

Self-employed person with employees

Self-employed person without employees

Employee

Family worker (unpaid)

Blank

Not stated

9

Not applicable (MAINSTAT=Blank or MAINSTAT<>1)

 Variable name

 Code

Description

Filter/Remarks 

G8: Full- or part-time main job (self-defined)

EMPST_WKT

(optional)

1

2

Full-time job

Part-time job

Blank

Not stated or option not included

9

Not applicable (MAINSTAT=Blank or MAINSTAT<>1)

G9: Permanency of main job

EMPST_CONTR

(optional)

1

2

Permanent job

Fixed-term contract

Blank

Not stated or option not included

9

Not applicable (STAPRO=Blank or STAPRO<>3)

G10: Economic activity of the local unit for main job

NACE1D

X

Economic activity of the local unit for the main job (one letter (from A to 
U))

(optional)

Blank

Not stated or option not included

9

Not applicable (MAINSTAT=Blank or MAINSTAT<>1)

G11: Occupation in the main job

ISCO2D

nn

ISCO code at 2-digit level

Blank

Not stated

-1

Not applicable (MAINSTAT=Blank or MAINSTAT<>1)

ICT professional or non-ICT professional

OCC_ICT

1

0

ICT professional

Non-ICT professional

Individuals 
where 
MAINSTAT=1

Individuals 
where 
STAPRO=3

Individuals 
where 
MAINSTAT=1

Individuals 
where 
MAINSTAT=1

Individuals 
where 
MAINSTAT=1

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3 Data transmission

Blank

Not stated

9

Not applicable (MAINSTAT=Blank or MAINSTAT<>1)

Manual worker or non-manual worker

OCC_MAN

1

0

Manual worker

Non-manual worker

Blank

Not stated

9

Not applicable (MAINSTAT=Blank or MAINSTAT<>1)

Individuals 
where 
MAINSTAT=1

 Variable name

 Code

Description

Filter/Remarks 

Disability and other elements of the minimum European Health module

G19: Limitation in activities because of health problems

Individuals 
where AGE>=16

GALI

1

2

3

Severely limited

Limited but not severely

Not limited at all

Blank

Not stated

9

Not applicable (AGE=Blank or AGE<16)

 Interview characteristics

Reference date

INTDATE

DD/MM/
YYYY

Date of the first interview

All individuals

All individuals

Interview type 

Check consistency if CAWI is stated and IU<>1 (individual did not use the 
internet in the last 3 months)

Paper-assisted personal interview (PAPI)

Computer-assisted personal interview (CAPI)

Computer-assisted telephone interview (CATI)

Computer-assisted web interview (CAWI)

Other

G19: Interview duration

All individuals

Duration of the interview, expressed in minutes

Not applicable

INT_TYPE

TIME

1

2

3

4

5

Nnn

-1

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Data transmission

3

3.3. Data confidentiality 

This section outlines the main aspects of confidentiality as a fundamental principle of European statistics, as defined by Regulation 
(EC) 223/2009, Commission Regulation (EU) No 557/2013 and the European Statistics Code of Practice (ESCoP).

Recital 24 of Regulation (EC) 223/2009 on European statistics makes provision for the establishment of common principles and 
guidelines ensuring the confidentiality of data used to produce European statistics and access to those confidential data, with due 
account taken of technical developments, as well as users’ requirements in a democratic society.

For that purpose, Article 20(4) of Regulation (EC) 223/2009 states:

‘Within their respective spheres of competence, the NSIs and other national authorities and the Commission (Eurostat) shall 
take  all  necessary  regulatory,  administrative,  technical  and  organisational  measures  to  ensure  the  physical  and  logical 
protection of confidential data (statistical disclosure control).’

‘Confidential data’ means:

‘data  which  allow  statistical  units  to  be  identified,  either  directly  or  indirectly,  thereby  disclosing  individual  information. 
Confidentiality aims at protecting data from unauthorised disclosure that could be prejudicial or harmful to the interest of the 
source or other relevant parties. To determine whether a statistical unit is identifiable, account shall be taken of all relevant 
means that might reasonably be used by a third party to identify the statistical unit’ (Article 3(4) of Regulation (EC) 223/2009).

Data used for the production of statistics by national and EU authorities are considered confidential if statistical units can be 
identified directly or indirectly, and if information about individuals or businesses can be disclosed as a result.

•	 Direct identification means identification of the respondent (statistical unit) from their formal identifiers (e.g. name, address, 

identification number).

•	

Indirect identification means inferring a respondent’s identity through a combination of variables or characteristics (e.g. age, 
sex, education, etc.).

Statistical  disclosure  control  (SDC)  can  be  ensured  through  physical  protection  and  statistical  disclosure  control.  For  further 
details, see the Eurostat website.

The data transmitted to Eurostat in the ICT domain for households and individuals are statistically confidential as they contain 
individual records that could lead to indirect identification of the respondents.

3.4. Transmission deadlines 

The Implementing Act states that: 

•  the data transmission deadline is 5 October of the survey year, i.e. 5 October 2022 for survey year 2022; 

•  the annual metadata and quality report must be transmitted 3 months after the data transmission deadline, i.e. 5 January 

2023 for survey year 2022.

3.5. Transmission channels  

The  transmission  and  the  delivery  of  datasets  is  managed  by  EDAMIS  (Electronic  Data  Files  Administration  and  Management 
Information System), adopted as the unique entry point for the transmission of data to Eurostat

The EDAMIS portal is accessible via the following link: https://webgate.ec.europa.eu/edamis4

EDAMIS is made available through different networks: the internet and secure European networks such as TESTA (TransEuropean 
Services for Telematics between Administrations) and CCN (the Common Communication Network). 

Information on networks, comparison between the different transmission methods and step-by-step instructions for submitting 
files are provided in the EDAMIS short and extensive user guides developed by Eurostat.

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European compilers’ manual for statistics on the use of ICT in households and by individuals 3 Data transmission

3.6. Data revisions 

Revisions are broadly defined as any change to the value of a statistic released to the public. Revisions can occur when 
new observations (one additional month or quarter) become available and some past values are modified or when current 
and  /or  some  past  values  are  modified.  Data  are  generally  revised  to  incorporate  new,  improved  information.  Revisions 
are therefore inevitable when statistics are produced that report promptly on economic developments despite the lack of 
some relevant information.

Further  guidance  on  the  principles  of  data  revision  can  be  found  in  the  European  Statistics  Code  of  Practice,  and  a 
comprehensive description of the reasons for revision and revision policies and methods can be found in the ESS guidelines 
on revision policy for Principal European Economic Indicators (PEEIs).

3.7. Support for data providers 

Specific support is available here: ESTAT-ICT-SURVEYS@ec.europa.eu.

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 European compilers’ manual for statistics on the use of ICT in households and by individualsThe assessment of data quality is a crucial step in providing data users with high quality statistical data.

Consequently,  Eurostat  carries  out  a  number  of  checks  on  the  data  submitted  on  the  basis  of  validation  rules  and  National 
Statistical Offices are required to send metadata reports to enable the assessment of data quality.

4.1. Metadata and quality reports

Metadata, also described as «data about data», provide information about data and are essential for their understanding. They allow 
users to make comparisons between data and assess their quality. Metadata can be expressed as text (for example descriptions), 
values (for example percentage rates) and codes (from controlled vocabularies such as code lists).

There are two types of metadata: structural metadata and reference metadata.

Structural metadata cover the information that is used to identify and describe the data. Types of structural metadata include 
variable names, variable codes, classifications used, technical descriptions of datasets (data formats, time dimensions, etc.), and 
dataset locations. The structural metadata need to be linked with the data, to enable data identification and searching.

Reference metadata are metadata that describe the content and quality of statistical data. According to the latest version of the 
European statistical system handbook for quality and metadata reports metadata are subdivided into:

•  conceptual metadata (explaining the concepts used);

•  methodological metadata (referring to methods used in preparing the statistical data);

•  quality metadata (referring to and explaining quality dimensions of the statistical outputs).

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European compilers’ manual for statistics on the use of ICT in households and by individuals 410. Data quality4 Data quality

A  number  of  tools  have  been  developed  to  produce  high  quality  and  harmonised  metadata  within  the  European  Statistical 
System (ESS). The Single Integrated Metadata Structure (‘SIMS’) was created to support the reporting on the quality aspects of 
European statistics. It provides a harmonised, integrated and comprehensible framework for metadata and quality reporting in 
the ESS. It was formed by integrating and harmonising two reporting structures, namely the Euro-SDMX metadata structure and 
the ESS standard for quality reports structure(30). It is a template for the ESS reference metadata report structure and quality report, 
which contain information about quality concepts, at different levels of detail.

4.1.1. Use of ICT in households and by individuals metadata and quality 
report

For the survey on the use of ICT in households and by individuals, the IESS framework regulation requests that reporting countries 
submit metadata reports to Eurostat every year. This regulation is further developed in Commission Implementing Regulation (EU) 
2019/2180, which specifies the content of the quality reports and detailed arrangements for their submission.

The implementing act states that the annual metadata and quality report must be submitted 3 months after the data submission 
deadline, i.e. by 5 January 2023 (3 months after the data submission deadline of 5 October 2022) for survey year 2022

The current structure of the reference metadata report is the following:

1.  Contact: Information about the organisation, contact information of the main contact point for data and metadata on the use 

of ICT in households and by individuals (address, email, telephone number).

2.  Metadata update: Dates when the metadata has been certified, posted and updated.
3.  Statistical  presentation:  Description  of  the  data  and  classifications  used  (e.g.  International  Standard  Classification  of 
Education), statistical concepts and definitions, coverage of the statistical domain, statistical population and statistical units 
that the data refer to, time coverage and reference area.

4.  Unit of measure: For the survey on the use of ICT in households and by individuals these are percentages of households 

and the percentage of individuals.

5.  Reference period: The reference period is the survey year.
6.  Institutional mandate: Information about complementary national legislation constituting the legal basis for the survey 

should be provided.

7.  Confidentiality: Two main aspects of confidentiality are covered under this concept: confidentiality policy (the provisions 

concerning confidentiality) and data treatment (the rules that are applied to keep the confidential data undisclosed).

8.  Release policy: The main topics considered are the data release schedule/calendar, and where the release calendar can be 
found. Release policy refers to a number of principles, such as objectivity, impartiality, confidentiality, and accessibility, as laid 
down in the Regulation on European statistics and in the European Statistics Code of Practice.

9.  Frequency of dissemination: Data on the use of ICT in households and by individuals are disseminated annually.
10. Accessibility  and  clarity:  This  refers  to  the  formats  used  to  disseminate  data  on  the  use  of  ICT  in  households  and  by 

individuals at national level: news releases, publications and online databases.

11. Quality management: Quality assurance and quality assessment describe the systems and frameworks in place to manage 

the quality and processes of the surveys on the use of ICT in households and by individuals.

12. Relevance: Main users and user needs taken into consideration when developing the survey on the use of ICT in households 
and by individuals. Another aspect refers to user satisfaction (assessed either by carrying out a user satisfaction survey or by 
other methods). In addition, the completeness rate must be provided.

13. Accuracy: Accuracy of data is the closeness of computations or estimates to the exact or true values that the statistics were 
intended to measure. It is assessed on the basis of overall comments on the accuracy and the measurement of sampling and 
non-sampling errors (coverage errors, measurement errors, non-response errors, processing errors).

14. Timeliness and punctuality: Timeliness refers to the time elapsed between the occurrence of the event or phenomenon 
the data describe and the time at which the data become available; punctuality refers to the time lag between the actual 
delivery of the data and the target date when it should have been delivered.

15. Coherence  and  comparability:  European  statistics  should  be  coherent  in  the  sense  of  being  consistent  internally  and 
over time, and comparable between regions and countries. It should be possible to combine and make joint use of related 

(30) More information and a visualisation of this structure is available in the European Statistical System (ESS) handbook for quality and metadata reports – 2020 edition, p 

238-241.

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4

data from different sources. Information on geographical and intertemporal comparability and cross-domain coherence are 
provided in the metadata report.

16. Cost and burden: Provides information on the cost of collecting and producing data on the use of ICT in households and by 

individuals and the burden on respondents.

17. Data revision: data revision is any change in a value of a statistic released to the public. This heading comprises two main 

subjects: the data revision policy applicable to data output and how it is implemented in practice.

18. Statistical processing: This item provides information on the source of the data on the use of ICT in households and by 
individuals (framing and sampling of the population), data collection frequency, type of data collection (paper, web, electronic), 
data validation, and data compilation.

19. Comments: Any additional information of interest to the quality report that does not fit under any of the other concepts or 

make reference to annexes that might be attached.
20. Related metadata: Not applicable for this survey.
21. Annexes: Links to annexes are provided in this item.

4.1.2. European Statistical System - Metadata Handler

The metadata report should then be delivered by reporting countries using the metadata handler. The ESS Metadata Handler 
(ESS-MH)  is  a  web-based  application  that  supports  the  production,  exchange,  harmonisation  and  dissemination  of  reference 
metadata  and  quality  reports  in  the  ESS.  The  diagram  below  presents  the  high-level  business  process  for  reporting  SDMX-
compliant reference metadata and ESS-MH usage.

This  application  is  used  by  Eurostat  and  by  national  statistical  institutes  (NSIs),  to  produce  metadata  files.  The  application  is 
accessible through a password system(31).

Information about metadata files on the use of ICT in households and by individuals comprises:

•	

File name: INFOSOC_HHNSI_ A_CC_YEAR_0000

•	 Domain: INFOSOC

(31)   In case of problems, contact ESTAT-DATA-METADATA-SERVICES@ec.europa.eu.

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European compilers’ manual for statistics on the use of ICT in households and by individuals 4 Data quality

•	 Metadata flow: INFOSOC_HHNSI_A

•	

•	

Typology: simsih - SIMS structure for INFOSOC households

Country: CC (country code)

•	 Organisation – Provider: name of the organisation providing the metadata file

•	

•	

•	

Reference year: YEAR

Period: A0

Status: Draft, Ready for validation, Validated, Ready for publication, Published

•	 Updated on: dd/mm/yyyy hh:mm:ss

•	

•	

•	

By: username

Published on: dd/mm/yyyy hh:mm:ss

Sender: username.

The main functions of the application for the users are:

•	

•	

Copy an existing file to create a new one

Recall the metadata file to make changes

•	 Download the metadata file

•	

•	

•	

View the history

Preview the metadata file

Print the metadata file.

Once completed, the file is sent to the domain manager at Eurostat for validation. The domain manager grants approval if all 
information  is  clear,  or  can  ask  for  clarifications.  If  clarifications  are  requested,  reporting  countries  will  correct  or  add  missing 
information and resubmit the file for approval. The Eurostat domain manager will check the requested changes and, if satisfied, 
will proceed with sending the file for publication. The final ‘Publication’ status is given after another series of thorough checks by 
the Metadata support in charge of the publication of the SIMS report with the corresponding European metadata attached to the 
data collection of the survey year.

The template of the national reference metadata report is provided in Annex 3 – Metadata reporting template.

4.2. Data validation by Eurostat

Although reporting countries are responsible for the quality of the data provided, Eurostat carries out a series of checks to ensure 
the accuracy of the data submission format and the absence of errors. The validation process is currently structured according to 
the validation levels classification established by the ESS.

•  Validation Level 0: consistency with the expected IT structural requirements

•  Validation Level 1: consistency within the dataset

•  Validation Level 2: consistency with other datasets within the same domain and the same data source

•  Validation Level 3: consistency within the same domain between different data sources

•  Validation Level 4: consistency between separate domains in the same data provider

•  Validation Level 5: consistency with data of other data providers

Only levels 0 to 3 are currently used in the validation process for data on the use of ICT in households and by individuals. The 
format checks, the checks on the completeness of the file and uniqueness of the records (level 0) and some checks on data 

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4

consistency (level 1) are of highest priority. Failure to pass those checks will result in the rejection of the file. The other checks may 
result in a list of warnings for which the reporting country is asked either to send revised data or to confirm the data correctness 
according to the type of warning spotted. A description of the different checks performed on the data is provided below. The 
rules applied are included in Annex 2 - Validation rules.

Validation Level 0 – Consistency with the expected IT structural requirements

The first step is to check that the structure and format of the file complies with the submission format presented in Section 3.2 
above. The checks performed at this stage refer to the:

•  Validity of format: data are expected to be sent in TXT format. The number of columns of the file should be in line with the 

submission format presented in Section 3.2 above.

•  Validity of codes: these checks are performed on each dimension and attribute at record level. They aim to verify that each 

reported code belongs to the code list related to that particular dimension or attribute.

•  Since compliance with the submission format is the highest priority, failure to pass the checks described in this validation 

level will result in the rejection of the file.

Validation Level 1 – Consistency within the dataset

The next step in the validation process is to analyse the content of the file. The related checks are divided into three categories:

•  Completeness of the file: this check is to verify that the number of records contained in the file is equal to the total number 

expected for this dataset.

•  Inter-record consistency checks: these aim to verify the consistency between the observation value of two or more 

records. These records can be linked by an equality or an inequality. The link is described in a consistency rule. Typically, the 
consistency of total with the sum of details will be verified through this type of check.

•  Consistency checks on ratios: ICT data are disseminated on the Eurostat website as percentages. Checks are run on these 

percentages to assess their plausibility by comparing them with a configurable range defined for every unit.

Validation Level 2 – Consistency with other datasets within the same domain and the same data source

In this step, two series of checks are performed:

•  Variation over previous reference years: data provided for a new reference year are compared with those submitted for 

previous years. The variation should fall within a pre-defined range.

•  Consistency of reference data and flags is checked against the information contained in the quality report provided by the 

NSI.

If the variation of the data as compared with previous reference years falls outside the pre-defined range or if there is a mismatch 
in  the  reference  data,  Eurostat  contacts  the  country  concerned  in  order  to  receive  clarifications  and  confirmation  of  the  data 
correctness.

Validation Level 3 – Consistency within the same domain and a different data source

•  Data on the use of ICT in households and by individuals are checked against similar data reported by other countries. The 
comparison is carried out at the level of main indicators, main breakdowns, and is based on the most recent detailed data 
submitted to Eurostat.

•  If significant inconsistency is detected between the two sources, reporting countries are contacted to provide clarifications 

and possible corrections.

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European compilers’ manual for statistics on the use of ICT in households and by individuals 4 Data quality

National Statistical Institutes transmit micro data to Eurostat. Micro data are the individual response of a specific household / 
individual  to  a  specific  question.    Micro  data  codes  are  defined  in  the  Transmission  Format.  Not  all  questions  are  asked  to  all 
households / individuals. Some questions are asked only when some conditions are met. In that case, the micro data variable is 
referred to as dependent on a filter. For example, micro data variable IUSNET (question B3c on participation in social networks 
in the last 3 months) is only asked if micro-data variable IU is 1, e.g. if the individual has chosen option a in question B1, e.g. if the 
individual has used the internet in the last 3 months. 

Those microdata are then used by Eurostat to compute aggregates of variables and breakdowns for households and individuals. 
Variables refer to the answers given to each question of the model questionnaire. Breakdowns are subsets of population defined 
beforehand by different criteria, such as sex, age, education level, region, etc.

Data  aggregates  are  computed  by  adding  up  the  microdata  of  each  variable  over  the  population  subset  defined  by  the 
breakdowns. The scope defines how to compute the variables and how to filter the responses that are significant for each variable. 
The computation normally is the sum of the weighted responses that satisfy the conditions defined by the filter. Only meaningful 
combinations of variables and breakdowns are computed.

For example, for households, the variable h_iacc (“households with access to internet”) can be combined with the population 
breakdown A1_DCH (“households composed by a single adult with children”) to obtain the total number of households, 
composed of a single adult with children, with access to the internet. Using the tables below, the scope could be built as:

Sum(HH_WGHT) where IACC=1 and (HH_POP-HH_CHILD)=1 AND HH_CHILD>0

An example for individuals would be the combination of the variable i_iuse (“People accessing the Internet, on average, at least 
once a week, in the last 3 months”), and the breakdown Y16_24 (“All persons with ages between 16 and 24”) or Y65_74 (“All 
persons with ages between 65 and 74”). From these, it is possible to obtain the number of people, in each age group, using 
the Internet on a regular basis, and compare both aggregates. The scopes would be:

Sum(IND_WGHT) where IFUS IN(1,2,3) and AGE BETWEEN 16 AND 24 
Sum(IND_WGHT) where IFUS IN(1,2,3) and AGE BETWEEN 65 AND 74

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 European compilers’ manual for statistics on the use of ICT in households and by individuals5.1. Variables 

On the basis of the transmission format presented in section 3.2 above, Eurostat computes the aggregates presented in the table 
below. 

Model questionnaire

Variable codes

Description

Scope

 back

 back

 back

 back

A1

A1

A1

B1a

B1b

B1c

B1d

B1 derived from B1a and 
B1b

househ

pop

sampleh

samplep

h_iacc

h_iaccx

h_iaccz

i_iu3

i_i3_12

Number of households

Number of individuals

Sample size for households

Sample size for individuals

Sum(HH_WGHT)

Sum(IND_WGHT) 

Sum(HH_WGHT) (unraised)

Sum(IND_WGHT) (unraised)

Any member of the household has access to the 
internet at home

Sum(HH_WGHT) where IACC=1

No member of the household has access to the 
internet at home

Sum(HH_WGHT) where IACC=0

Don’t know if any member of the household has 
access to the internet at home

Sum(HH_WGHT) where IACC=8

I last used the internet within the last 3 months

Sum(IND_WGHT) where IU=1

I last used the internet between 3 months and a 
year ago

Sum(IND_WGHT) where IU=2

i_iumt12

I last used the internet more than a year ago

Sum(IND_WGHT) where IU=3

i_iux

i_ilt12

I have never used the internet

Sum(IND_WGHT) where IU=4

I last used the internet within the last year

Sum(IND_WGHT) where IU=1 
OR IU=2

B1 derived from B1c and 
B1d

i_imt12

I used the internet more than a year ago or have 
never used it

Sum(IND_WGHT) where IU=3 
OR IU=4

B1 derived from B1a to B1c

i_iuevr

I have used the internet, ever

B2a

B2b

B2c

B2d

i_iday_d

i_iday

i_iwk

i_iltwk

In the last 3 months, I accessed the internet, on 
average, several times during the day
In the last 3 months, I accessed the internet, on 
average, once a day or almost every day
In the last 3 months, I accessed the internet, on 
average, at least once a week (but not every day)
In the last 3 months, I accessed the internet, on 
average, less than once a week

Sum(IND_WGHT) where IU=1 
OR IU=2 OR IU=3

Sum(IND_WGHT) where IFUS=1

Sum(IND_WGHT) where IFUS=2

Sum(IND_WGHT) where IFUS=3

Sum(IND_WGHT) where IFUS=4

107

European compilers’ manual for statistics on the use of ICT in households and by individuals 512. Data aggregates5 Data aggregates

Derived from B2b and B2c

i_iuse

In the last 3 months, I accessed the internet, on 
average, at least once a week (regular use)

Sum(IND_WGHT) where IFUS 
IN(1,2,3)

All individuals accessing the internet, on average, 
less than once a week or those not accessing the 
internet within the last 3 months
I have used internet, in the last 3 months, for 
sending/receiving e-mails
I have used internet, in the last 3 months, for 
making calls (including video calls) over the 
internet, for example, via Skype, Messenger, 
WhatsApp, Facetime, Viber, Snapchat
I have used internet, in the last 3 months, for 
participating in social networks (creating user 
profile, posting messages or other contributions 
to Facebook, Twitter, Instagram, Snapchat, etc.)
I have used internet, in the last 3 months, 
for using instant messaging, i.e. exchanging 
messages, for example, via Skype, Messenger, 
WhatsApp, Viber, Snapchat
I have used internet, in the last 3 months, for 
finding information about goods and services
I have used internet, in the last 3 months, for 
reading online news sites / newspapers / news 
magazines
I have used internet, in the last 3 months, for 
expressing opinions on civic or political issues 
on websites or in social media (e.g. Facebook, 
Twitter, Instagram, YouTube)
I have used internet, in the last 3 months, for 
taking part in on-line consultations or voting 
to define civic or political issues (e.g. urban 
planning, signing a petition)
I have used Internet, in the last 3 months, 
for listening to music (e.g. web radio, music 
streaming) or downloading music
I have used Internet, in the last 3 months, for 
watching internet streamed TV (live or catch-up) 
from TV broadcasters (e.g. [national examples])
I have used Internet, in the last 3 months, for 
watching video on demand from commercial 
services (e.g. Netflix, HBO GO, Amazon Prime, 
Maxdome)
I have used Internet, in the last 3 months, for 
watching video content from sharing services 
(e.g. YouTube)
I have used Internet, in the last 3 months, for 
playing or downloading games
I have used Internet, in the last 3 months, for 
listening to podcasts or downloading podcasts
I have used Internet, in the last 3 months, for 
seeking health-related information (e.g. injuries, 
diseases, nutrition, improving health, etc.)
I have used Internet, in the last 3 months, for 
making an appointment with a practitioner via a 
website or app (e.g. of a hospital or a health care 
centre)
I have used Internet, in the last 3 months, for 
accessing personal health records online

Sum(IND_WGHT) where IU is 
NULL or IU<>1 OR IFUS=4

Sum(IND_WGHT) where 
IUEM=1

Sum(IND_WGHT) where 
IUPH1=1

Sum(IND_WGHT) where 
IUSNET=1

Sum(IND_WGHT) where 
IUCHAT1=1

Sum(IND_WGHT) where IUIF=1

Sum(IND_WGHT) where 
IUNW1=1

Sum(IND_WGHT) where 
IUPOL2=1

Sum(IND_WGHT) where 
IUVOTE=1

Sum(IND_WGHT) where 
IUMUSS1=1

Sum(IND_WGHT) where 
IUSTV= 1

Sum(IND_WGHT) where 
IUVOD= 1

Sum(IND_WGHT) where 
IUVSS= 1

Sum(IND_WGHT) where 
IUPDG= 1
Sum(IND_WGHT) where 
IUPCAST=1

Sum(IND_WGHT) where IHIF=1

Sum(IND_WGHT) where 
IUMAPP= 1

Sum(IND_WGHT) where 
IUAPR=1

Derived from B1 and B2

i_iltwkpop

i_iuem

i_iuph1

i_iusnet

i_iuchat1

i_iuif

i_iunw1

i_iupol2

i_iuvote

i_iumuss1

i_iustv

i_iuvod

i_iuvss

i_iupdg

i_iupcast

i_ihif

i_iumapp

i_iuapr

B3a

B3b

B3c

B3d

B3e

B3f

B3g

B3h

B3i

B3j

B3k

B3l

B3m

B3n

B3o

B3p

B3q

108

 European compilers’ manual for statistics on the use of ICT in households and by individualsData aggregates

5

B3r

B3s

B3t

i_iuohc

i_iusell

i_iubk

Derived from B3b and B3d i_iuphchat1

I have used Internet, in the last 3 months, for 
using other health services via a website or 
app instead of having to go to the hospital or 
visit a doctor (e.g. by getting a prescription or a 
consultation online)
I have used Internet, in the last 3 months, for 
selling goods or services via a website or app 
(e.g. eBay, Facebook Marketplace, shpock)
I have used Internet, in the last 3 months, for 
Internet banking via a website or app
I have used internet, in the last 3 months, for 
making calls (including video calls) over the 
internet, or for using instant messaging, i.e. 
exchanging messages

Sum(IND_WGHT) where 
IUOHC=1

Sum(IND_WGHT) where 
IUSELL=1

Sum(IND_WGHT) where IUBK=1

Sum(IND_WGHT) where 
IUPH1=1 or IUCHAT1=1

Derived from B3g and B3h

i_iucpp

I have used internet, in the last 3 months, for civic 
or political participation

Sum(IND_WGHT) where 
IUPOL2=1 or IUVOTE=1

Derived from B3c, B3g and 
B3h

i_iusnet_cpp

I have used internet, in the last 3 months, for 
participating in social networks and for civic or 
political participation

Sum(IND_WGHT) where 
IUSNET=1 and (IUPOL2=1 or 
IUVOTE=1)

Derived B3k or B3l

i_iuv

Derived B3j, B3k and B3l

i_iustvv

Derived from B2a and B3h

i_iupol2_iday

Derived from B2b and B3h i_iupol2_iwk

Derived from B2c and B3h

i_iupol2_iltwk

Derived from B2a, B2b and 
B3h

i_iupol2_iuse

Derived from B2.1 and B3h i_iupol2_iday_d

B4a

B4b

B4c

i_iuolc

i_iuolm

i_iuocis1

Derived from B4a and B4b i_iuolany

I have used Internet, in the last 3 months, for 
watching video content from commercial or 
sharing services 
I have used Internet, in the last 3 months, for 
watching internet streamed TV or video content 
from commercial or sharing services
In the last 3 months, I accessed the internet, on 
average, every day or almost every day and I 
expressed opinions on civic or political issues on 
websites or in social media
In the last 3 months, I accessed the internet, on 
average, at least once a week (but not every day) 
and I expressed opinions on civic or political 
issues on websites or in social media
In the last 3 months, I accessed the internet, on 
average, less than once a week and I expressed 
opinions on civic or political issues on websites 
or in social media
In the last 3 months, I accessed the internet, on 
average, at least once a week (regular use) and I 
expressed opinions on civic or political issues on 
websites or in social media
In the last 3 months, I accessed the internet, 
on average, several times during the day and I 
expressed opinions on civic or political issues on 
websites or in social media
I have used internet, in the last 3 months, for 
doing an online course
I have used internet, in the last 3 months, for 
using online learning material other than a 
complete online course
I have used Internet, in the last 3 months, for 
communicating with instructors or learners using 
audio or video online tools (e.g. Zoom, MS Teams, 
Google Classroom, [national examples], etc.)
I have used internet, in the last 3 months, for 
doing an online course or using online learning 
material

Sum(IND_WGHT) where 
IUVOD= 1 or IUVSS= 1

Sum(IND_WGHT) where 
IUSTV=1 or IUVOD=1 or 
IUVSS=1

Sum(IND_WGHT) where 
IUPOL2=1 and IFUS=2

Sum(IND_WGHT) where 
IUPOL2=1 and IFUS=3

Sum(IND_WGHT) where 
IUPOL2=1 and IFUS=4

Sum(IND_WGHT) where 
IUPOL2=1 and IFUS IN(1,2,3)

Sum(IND_WGHT) where 
IUPOL2=1 and IFUS=1

Sum(IND_WGHT) where 
IUOLC=1

Sum(IND_WGHT) where 
IUOLM=1

Sum(IND_WGHT) where 
IUOCIS1=1

Sum(IND_WGHT) where 
IUOLC=1 or IUOLM=1

109

European compilers’ manual for statistics on the use of ICT in households and by individuals 5 Data aggregates

Derived from B4a to B4c

i_iuoany

B5a

B5b

B5c

C1a

C1b

C1c

C1d

i_iuofe

i_iuow

i_iuopp

i_igovip

i_igovidb

i_igov12if

i_igovix

I have used Internet, in the last 3 months, for any 
of the learning activities i_iuolc, i_iuolm, i_iuocis

I have participated in learning activities, in 
the last 3 months, for the purpose of formal 
education (e.g. school or university)
I have participated in learning activities, in the 
last 3 months, for professional/work related 
purposes
I have participated in learning activities, in the 
last 3 months, for private purposes
I have used internet, in the last 12 months, for 
accessing personal information from websites or 
apps
I have used internet, in the last 12 months, for 
accessing public databases or registers from 
websites or apps
I have used internet, in the last 12 months, for 
obtaining information from websites or apps
I have used internet, in the last 12 months, but 
not for obtaining personal information, accessing 
public databases or getting information from 
websites or apps

Sum(IND_WGHT) where 
IUOLC=1 or IUOLM=1 or 
IUOCIS1=1

Sum(IND_WGHT) where 
IUOFE=1

Sum(IND_WGHT) where 
IUOW=1

Sum(IND_WGHT) where 
IUOPP=1

Sum(IND_WGHT) where 
IGOVIP=1

Sum(IND_WGHT) where 
IGOVIDB=1

Sum(IND_WGHT) where 
IGOV12IF=1

Sum(IND_WGHT) where 
IGOVIX=1

C1 derived from C1a to C1c

i_iugov1

I have used internet, in the last 12 months, for 
interaction with public authorities

C1 derived from C1a to C1c

i_iugov1x

I have used internet, in the last 12 months, but 
not for interaction with public authorities

Sum(IND_WGHT) where 
IGOVIP=1 OR IGOVIDB=1 OR 
IGOV12IF=1

Sum(IND_WGHT) where 
(IGOVIP=0 or IGOVIP=Blank) 
and (IGOVIDB=0 or 
IGOVIDB=Blank) and 
(IGOV12IF=0 or IGOV12IF=Blank)

i_igov12fm

i_igovapr

i_igovpost

i_igovtax1_slf

i_igovtax1x_aut

i_igovtax1x_pf

i_igovtax1x_del

i_igovtax1x_oth

i_igovodc

i_igovbe

i_igovrcc

I have used internet, in the last 12 months, for 
downloading/printing official forms
I have used internet, in the last 12 months, for 
making an appointment or a reservation
I have used internet, in the last 12 months, for 
receiving official communication or document
I have used internet, in the last 12 months, for 
submitting my tax declaration
I have not used internet, in the last 12 months, 
for submitting my tax declaration - it was done 
automatically
I have not used internet, in the last 12 months, for 
submitting my tax declaration - I did it in paper 
format
I have not used internet, in the last 12 months, for 
submitting my tax declaration - somebody else 
did it in my behalf
I have not used internet, in the last 12 months, for 
submitting my tax declaration - for other reasons
I have used internet, in the last 12 months, for 
requesting official documents or certificates
I have used internet, in the last 12 months, for 
requesting benefits or entitlements
I have used internet, in the last 12 months, for 
making other requests, claims or complaints

Sum(IND_WGHT) where 
IGOV12FM=1
Sum(IND_WGHT) where 
IGOVAPR=1
Sum(IND_WGHT) where 
IGOVPOST=1
Sum(IND_WGHT) where 
IGOVTAX1=1

Sum(IND_WGHT) where 
IGOVTAX1=2

Sum(IND_WGHT) where 
IGOVTAX1=3

Sum(IND_WGHT) where 
IGOVTAX1=4

Sum(IND_WGHT) where 
IGOVTAX1=5
Sum(IND_WGHT) where 
IGOVODC=1
Sum(IND_WGHT) where 
IGOVBE=1
Sum(IND_WGHT) where 
IGOVRCC=1

C2

C3

C4

C5a

C5b

C5c

C5d

C5e

C6a

C6b

C6c

110

 European compilers’ manual for statistics on the use of ICT in households and by individualsData aggregates

5

Derived from C6a to C6c

i_igovr

Derived from C6a to C6c

i_igovrx

I have used internet, in the last 12 months, for 
requesting official documents or certificates, 
benefits or entitlements or for making other 
requests, claims or complaints

I have not used internet, in the last 12 months, 
for requesting official documents or certificates, 
benefits or entitlements or for making other 
requests, claims or complaints

Derived from C1a, C1b, C1c, 
C6a, C6b, C6c

i_iugov1_igovr

I have used internet, in the last 12 months, to 
access information and make requests or claims 
online

Sum(IND_WGHT) where 
IGOVODC=1 or IGOVBE=1 or 
IGOVRCC=1

Sum(IND_WGHT) 
where (IGOVODC=Blank 
or IGOVODC=0) and 
(IGOVBE=Blank or IGOVBE=0) 
and (IGOVRCC=Blank or 
IGOVRCC=0) 
Sum(IND_WGHT) where 
(IGOVIP=1 OR IGOVIDB=1 OR 
IGOV12IF=1) AND (IGOVODC=1 
OR IGOVBE=1 OR IGOVRCC=1)

Derived from C1a, C1b, C1c, 
C2, C3, C6a, C6b, C6c

i_igovanys2

I have used internet, in the last 12 months, for 
performing any of the e-government activities 
(accessing information, downloading printing 
official forms, making appointments or claims, 
requests)

Sum(IND_WGHT) where 
IGOVIP=1 OR IGOVIDB=1 OR 
IGOV12IF=1 OR IGOV12FM=1 
OR IGOVAPR=1 OR IGOVODC=1 
OR IGOVBE=1 OR IGOVRCC=1

Derived from C1a, C1b, C1c, 
C2, C3, C6a, C6b, C6c

i_igovusehi

High intensity of use of different e-government 
services

Sum(IND_WGHT) where 
IGOVUSE>=3 AND IGOVUSE<>9

Derived from C1a, C1b, C1c, 
C2, C3, C6a, C6b, C6c

i_igovuselo

Low intensity of use of different e-government 
services

Sum(IND_WGHT) where 
IGOVUSE=1 OR IGIVUSE=2

C7a

C7a

C7b

C7c

C7d

C7e

C7f

i_irgovnn

i_irgovnnx

i_irgovls

i_irgovsec

i_irgoveid

i_irgovop

i_irgovoth

I have not requested any official document or 
made any claim, in the last 12 months, because I 
had no need to
I have not requested any official document or 
made any claim, in the last 12 months, although I 
had a need to
I have not requested any official document or 
made any claim, in the last 12 months, because I 
lacked the skills or knowledge
I have not requested any official document or 
made any claim, in the last 12 months, because I 
have concerns about security
I have not requested any official document or 
made any claim, in the last 12 months, because I 
lacked the electronic signature
I have not requested any official document or 
made any claim, in the last 12 months, because 
another person did it on my behalf
I have not requested any official document or 
made any claim, in the last 12 months, because 
of other reasons

Sum(IND_WGHT) where 
IRGOVNN=1

Sum(IND_WGHT) where 
IRGOVNN=Blank or 
IRGOVNN=0

Sum(IND_WGHT) where 
IRGOVLS=1

Sum(IND_WGHT) where 
IRGOVSEC=1

Sum(IND_WGHT) where 
IRGOVEID=1

Sum(IND_WGHT) where 
IRGOVOP=1

Sum(IND_WGHT) where 
IRGOVOTH=1

Derived from C1 to C6

i_igovanys

I have used a website or app of public authorities 
in the last 12 months 

Sum(IND_WGHT) where 
IGOVANYS=1

C8a

i_iigovdu

I have encountered the following issue when 
using a website or app of public authorities in 
the last 12 months - the website or app was 
difficult to use

Sum(IND_WGHT) where 
IIGOVDU=1

111

European compilers’ manual for statistics on the use of ICT in households and by individuals 5 Data aggregates

C8b

C8c

C8d

C8e

C8f

C8g

D1

D1

D1

D1

D1

D1

D1

i_iigovtp

i_iigoveid

i_iigovpay

i_iigovmob

i_iigovoth

i_iigovx

i_buy3

i_b3_12

i_bumt12

i_bux

i_blt12

i_bumt12x

i_bgt3

Derived from B1 and D1

i_bgt3_iu3

I have encountered the following issue when 
using a website or app of public authorities in 
the last 12 months - I experienced technical 
problems
I have encountered the following issue when 
using a website or app of public authorities in 
the last 12 months - I had problems in using the 
electronic signature or electronic identification
I have encountered the following issue when 
using a website or app of public authorities in 
the last 12 months - I was not able to pay
I have encountered the following issue when 
using a website or app of public authorities in 
the last 12 months - I was not able to access the 
service on smartphone or tablet
I have encountered the following issue when 
using a website or app of public authorities in 
the last 12 months - I had other issues
I have not encountered any issue when using a 
website or app of public authorities in the last 12 
months
I ordered/bought goods or services, over the 
internet, for private use, in the last 3 months
I ordered/bought goods or services, over the 
internet, for private use, between 3 months and 
a year ago
I ordered/bought goods or services, over the 
internet, for private use, more than a year ago
I never ordered/bought goods or services, over 
the internet, for private use
I ordered goods or services, over the internet, for 
private use, in the last year
I ordered goods or services, over the internet, for 
private use, more than a year ago or have never 
ordered
I ordered/bought goods or services, over the 
internet, for private use, more than 3 months ago
I last used the internet within the last 3 months 
and I ordered/bought goods or services, over the 
internet, for private use, more than 3 months ago

Sum(IND_WGHT) where 
IIGOVTP=1

Sum(IND_WGHT) where 
IIGOVEID=1

Sum(IND_WGHT) where 
IIGOVPAY=1

Sum(IND_WGHT) where 
IIGOVMOB=1

Sum(IND_WGHT) where 
IIGOVOTH=1

Sum(IND_WGHT) where 
IIGOVX=1

Sum(IND_WGHT) where IBUY=1

Sum(IND_WGHT) where IBUY=2

Sum(IND_WGHT) where IBUY=3

Sum(IND_WGHT) where 
IBUY=4
Sum(IND_WGHT) where IBUY=1 
OR IBUY=2

Sum(IND_WGHT) where IBUY=3 
OR IBUY=4

Sum(IND_WGHT) where IBUY=2 
OR IBUY=3

Sum(IND_WGHT) where IU=1 
and (IBUY=2 OR IBUY=3)

Derived from B3s and D1

i_ecom

I have used internet, in the last 3 months, for 
e-commerce activities

Sum(IND_WGHT) where 
IUSELL=1 or IBUY=1

i_bclot1

i_bspg

i_bcg

i_bfurn1

The type of goods I bought via a website or app 
for private use in the last 3 months are: Clothes 
(including sport clothing), shoes or accessories 
(e.g. bags, jewellery) 
The type of goods I bought via a website or app 
for private use in the last 3 months are: Sports 
goods (excluding sport clothing)
The type of goods I bought via a website or app 
for private use in the last 3 months are: Children 
toys or childcare items (e.g. nappies, bottles, 
baby strollers)
The type of goods I bought via a website or app 
for private use in the last 3 months are: Furniture, 
home accessories (e.g. carpets or curtains) or 
gardening products (e.g. tools, plants)

Sum(IND_WGHT) where 
BCLOT1=1

Sum(IND_WGHT) where 
BSPG=1

Sum(IND_WGHT) where BCG=1

Sum(IND_WGHT) where 
BFURN1=1

D2a

D2b

D2c

D2d

112

 European compilers’ manual for statistics on the use of ICT in households and by individualsD2e

D2f

D2g

D2h

D2i

D2j

D2k

D2l

i_bmusg

i_bflmg

i_bbooknlg

i_bhard1

i_beequ1

i_bmed1

i_bfdr

i_bfds

D2m

i_bcbw

D2n

D2o

D2p

i_bcph

i_bbmc

i_bopg

Derived from D2a to D2p

i_bpg_any

Derived B3o and D2j

i_ihif_bmed1

D3a

D3b

i_bpg_dom

i_bpg_eu

The type of goods I bought via a website or app 
for private use in the last 3 months are: Music as 
CDs, vinyls etc.
The type of goods I bought via a website or app 
for private use in the last 3 months are: Films or 
series as DVDs, Blu-ray etc. 
The type of goods I bought via a website or app 
for private use in the last 3 months are: Printed 
books, magazines or newspapers
The type of goods I bought via a website 
or app for private use in the last 3 months 
are: Computers, tablets, mobile phones or 
accessories
The type of goods I bought via a website or 
app for private use in the last 3 months are: 
Consumer electronics (e.g. TV-sets, stereos, 
cameras) or household appliances (e.g. washing 
machines)
The type of goods I bought via a website or app 
for private use in the last 3 months are: Medicine 
or dietary supplements such as vitamins (online 
renewal of prescriptions is not included)
The type of goods I bought via a website or app 
for private use in the last 3 months are: Deliveries 
from restaurants, fast-food chains, catering 
services
The type of goods I bought via a website or app 
for private use in the last 3 months are: Food 
or beverages from stores or from meal-kits 
providers
The type of goods I bought via a website or 
app for private use in the last 3 months are: 
Cosmetics, beauty or wellness products
The type of goods I bought via a website or 
app for private use in the last 3 months are: 
Cleaning products or personal hygiene products 
(e.g. toothbrushes, handkerchiefs, washing 
detergents, cleaning cloths)
The type of goods I bought via a website or app 
for private use in the last 3 months are: Bicycles, 
mopeds, cars, or other vehicles or their spare 
parts
The type of goods I bought via a website or app 
for private use in the last 3 months are: Other 
physical goods
The type of goods I bought via a website or 
app for private use in the last 3 months are: Any 
goods
In the last 3 months, I have used Internet for 
seeking health-related information (e.g. injuries, 
diseases, nutrition, improving health, etc.) 
and I bought via a website or app for private 
use medicine or dietary supplements such as 
vitamins
I bought goods via a website or app in the last 3 
months from national sellers
I bought goods via a website or app in the last 3 
months from sellers from other EU countries

Data aggregates

5

Sum(IND_WGHT) where 
BMUSG=1

Sum(IND_WGHT) where 
BFLMG=1

Sum(IND_WGHT) where 
BBOOKNLG=1

Sum(IND_WGHT) where 
BHARD1=1

Sum(IND_WGHT) where 
BEEQU1=1

Sum(IND_WGHT) where 
BMED1=1

Sum(IND_WGHT) where 
BFDR=1

Sum(IND_WGHT) where 
BFDS=1

Sum(IND_WGHT) where 
BCBW=1

Sum(IND_WGHT) where 
BCPH=1

Sum(IND_WGHT) where 
BBMC=1

Sum(IND_WGHT) where 
BOPG=1

Sum(IND_WGHT) where BPG_
ANY=1

Sum(IND_WGHT) where IHIF=1 
and BMED1=1

Sum(IND_WGHT) where BPG_
DOM=1
Sum(IND_WGHT) where 
BPG_EU=1

113

European compilers’ manual for statistics on the use of ICT in households and by individuals 5 Data aggregates

D3c

D3d

i_bpg_wrld

i_bpg_unk

I bought goods via a website or app in the last 
3 months from the rest of the world (non-EU 
countries)
I bought goods via a website or app in the last 3 
months from sellers from unknown countries

Sum(IND_WGHT) where BPG_
WRLD=1

Sum(IND_WGHT) where BPG_
UNK=1

D3 derived from D3b and 
D3c

i_bpg_for

I bought goods via a website or app in the last 3 
months from sellers from other countries (EU or 
non-EU)

Sum(IND_WGHT) where BPG_
EU=1 OR BPG_WRLD=1

I bought goods via a website or app in the last 3 
months from private persons
I bought goods via a website or app in the last 3 
months, but not from private persons
The type of services I bought via a website or 
app for private use in the last 3 months are: 
Music as a streaming service or downloads
The type of services I bought via a website or 
app for private use in the last 3 months are: Films 
or series as a streaming service or downloads
The type of services I bought via a website 
or app for private use in the last 3 months 
are: e-books, online-magazines or online-
newspapers
The type of services I bought via a website or 
app for private use in the last 3 months are: 
Games online or as downloads for smartphones, 
tablets, computers or consoles
The type of services I bought via a website or 
app for private use in the last 3 months are: 
Computer or other software as downloads 
including upgrades
The type of services I bought via a website or 
app for private use in the last 3 months are: Apps 
related to health or fitness (excluding free apps)
The type of services I bought via a website or 
app for private use in the last 3 months are: 
Other apps (e.g. related to learning languages, 
travelling, weather) (excluding free apps)
The type of services I bought via a website 
or app for private use in the last 3 months 
are: Cultural services (music, films, books, 
newspapers, magazines, games)
I have used internet, in the last 3 months, for 
seeking health-related information (e.g. injuries, 
diseases, nutrition, improving health, etc.) and I 
bought via a website or app for private use in the 
last 3 months apps related to health or fitness
The type of services I bought via a website or 
app for private use in the last 3 months are: 
Tickets to sport events
The type of services I bought via a website or 
app for private use in the last 3 months are: 
Tickets to cultural or other events
The type of services I bought via a website or 
app for private use in the last 3 months are: 
Subscriptions to the internet or mobile phone 
connections

Sum(IND_WGHT) where 
BPG_PP=1
Sum(IND_WGHT) where 
BPG_PP=0

Sum(IND_WGHT) where 
BMUSS=1

Sum(IND_WGHT) where 
BFLMS=1

Sum(IND_WGHT) where 
BBOOKNLS=1

Sum(IND_WGHT) where 
BGAMES=1

Sum(IND_WGHT) where 
BSOFTS=1

Sum(IND_WGHT) where 
BHLFTS=1

Sum(IND_WGHT) where 
BAPP=1

Sum(IND_WGHT) where 
BMUSS=1 OR BFLMS=1 OR 
BBOOKNLS=1 OR BGAMES=1

Sum(IND_WGHT) where IHIF=1 
and BHLFTS=1

Sum(IND_WGHT) where 
BSTICK=1

Sum(IND_WGHT) where 
BCTICK=1

Sum(IND_WGHT) where 
BSIMC=1

D4

D4

D5a

D5b

D5c

D5d

D5e

D5f

D5g

i_bpg_pp

i_bpg_ppx

i_bmuss

i_bflms

i_bbooknls

i_bgames

i_bsofts

i_bhlfts

i_bapp

D5 derived from D5a to 
D5d

i_bcs

Derived B3o and D5f

i_ihif_bhlfts

i_bstick

i_bctick

i_bsimc

D6a

D6b

D6c

114

 European compilers’ manual for statistics on the use of ICT in households and by individualsData aggregates

5

D6d

D6e

D7

D7

D8a

D8b

i_bsutil

i_bhhs

i_bhhs_pp

i_bhhs_ppx

i_btps_e

i_btps_pp

Derived from D8a and D8b i_btps

Derived from B3c and D8b

i_btps_pp_
iusnet

Derived from B3s and D8b

i_btps_pp_iusell

D9a

D9b

i_bra_e

i_bra_pp

Derived from D9a and D9b i_bra

Derived from B3c and D9b i_bra_pp_iusnet

Derived from B3s and D9b

i_bra_pp_iusell

Derived from D8b and D9b i_btps_bra_pp

Derived from D4, D7, D8b 
and D9b

i_bany_pp

D10

i_bots

The type of services I bought via a website or 
app for private use in the last 3 months are: 
Subscription to electricity, water or heating 
supply, waste disposal or similar services
The type of services I bought via a website or 
app for private use in the last 3 months are: 
Household services
I bought household services via a website or app 
in the last 3 months from private persons
I bought household services via a website or 
app in the last 3 months, but not from private 
persons
In the last 3 months, I have bought transport 
service via a website or app for private use from a 
transport enterprise
In the last 3 months, I have bought transport 
service via a website or app for private use from a 
private person
In the last 3 months, I have bought a transport 
service via a website or app from a transport 
enterprise or a private person
I have used internet, in the last 3 months, for 
participating in social networks and I have 
bought transport service via a website or app for 
private use from a private person
I have used internet, in the last 3 months, for 
selling goods or services and I have bought 
transport service via a website or app for private 
use from a private person
In the last 3 months, I have rented 
accommodation via a website or app for private 
use from enterprises such as hotels or travel 
agencies 
In the last 3 months, I have rented 
accommodation via a website or app for private 
use from a private person
In the last 3 months, I have rented 
accommodation via a website or app from an 
enterprise or a private person
I have used internet, in the last 3 months, for 
participating in social networks and I have rented 
accommodation via a website or app for private 
use from a private person
I have used internet, in the last 3 months, for 
selling goods or services and I have rented 
accommodation via a website or app for private 
use from a private person
In the last 3 months, I have bought transport 
service or rented accommodation via a website 
or app for private use from a private person
I have used the internet, in the last 3 months, for: 
buying goods from private persons or buying 
household services from private persons or 
buying transport from private persons or renting 
accommodation from private persons
I bought other services than mentioned via 
a website or app for private use in the last 3 
months

Sum(IND_WGHT) where 
BSUTIL=1

Sum(IND_WGHT) where 
BHHS=1

Sum(IND_WGHT) where 
BHHS_PP=1

Sum(IND_WGHT) where 
BHHS_PP=0

Sum(IND_WGHT) where 
BTPS_E=1

Sum(IND_WGHT) where 
BTPS_PP=1

Sum(IND_WGHT) where BTPS_
E=1 OR BTPS_PP=1

Sum(IND_WGHT) where 
IUSNET=1 AND BTPS_PP=1

Sum(IND_WGHT) where 
IUSELL=1 AND BTPS_PP=1

Sum(IND_WGHT) where 
BRA_E=1

Sum(IND_WGHT) where 
BRA_PP=1

Sum(IND_WGHT) where BRA_
E=1 OR BRA_PP=1

Sum(IND_WGHT) where 
IUSNET=1 AND BRA_PP=1

Sum(IND_WGHT) where 
IUSELL=1 AND BRA_PP=1

Sum(IND_WGHT) where BTPS_
PP=1 or BRA_PP=1

SUM(IND_WGHT) where 
BPG_PP=1 OR BHHS_PP=1 OR 
BTPS_PP=1 OR BRA_PP=1

Sum(IND_WGHT) where 
BOTS=1

115

European compilers’ manual for statistics on the use of ICT in households and by individuals 5 Data aggregates

D10

D11a

D11b

D11c

i_botsx

i_bfin_in1

i_bfin_cr1

i_bfin_sh1

D11 derived D11a to D11c

i_bfin2

E1a

E1b

E1c

E1d

E1e

i_iot_dem

i_iot_dsec

i_iot_dha

i_iot_dva

i_iot_dx

Derived from E1a to E1d

i_iot_dom

i_iot_bdk

i_iot_bdkx

i_iot_bnn

i_iot_bcst

E2a

E2a

E2b

E2c

116

I didn’t buy any other services than mentioned 
via a website or app for private use in the last 3 
months
In the last 3 months, I have bought via a website 
or app insurance policies, including travel 
insurance, also as a package together with e.g. a 
plane ticket
In the last 3 months, I have taken via a website 
or app a loan, mortgage or arranged credit from 
banks or other financial providers
In the last 3 months, I have bought or sold  via a 
website or app shares, bonds, units in funds or 
other financial assets
In the last 3 months, I have carried out financial 
activities (I_BFIN_SH1, I_BFIN_IN1, I_BFIN_CR1) 
via a website or app (excluding e-mail) for private 
purposes
I have used the following internet-connected 
devices or systems for private purposes: Internet-
connected thermostat, utility meters, lights, 
plug-ins or other internet-connected solutions 
for energy management for my home
I have used the following internet-connected 
devices or systems for private purposes: Internet-
connected home alarm system, smoke detector, 
security cameras, door locks or other internet-
connected security/safety solutions for my home
I have used the following internet-connected 
devices or systems for private purposes: Internet-
connected home appliances such as robot 
vacuums, fridges, ovens, coffee machines
I have used the following internet-connected 
devices or systems for private purposes: A virtual 
assistant in the form of a smart speaker or of an 
app, such as Google Home, Amazon Alexa/Echo/
computer, Google Assistant, Siri, Cortana, Bixby
I have used the following internet-connected 
devices or systems for private purposes: I have 
not used any of the above
I have used the following internet-connected 
devices or systems for private purposes: devices 
or systems for energy management, for security/
safety management, internet-connected 
appliances, virtual assistants
One reason for not using any of the mentioned 
internet-connected devices or systems for 
private purposes was: I didn’t know such devices 
or systems exist
The reason for not using any of the mentioned 
internet-connected devices or systems for 
private purposes was not: I didn’t know such 
devices or systems exist
One reason for not using any of the mentioned 
internet-connected devices or systems for 
private purposes was: I had no need to use those 
connected devices/systems
One reason for not using any of the mentioned 
internet-connected devices or systems for 
private purposes was: Costs too high

Sum(IND_WGHT) where 
BOTS=0

Sum(IND_WGHT) where 
BFIN_IN1=1

Sum(IND_WGHT) where 
BFIN_CR1=1

Sum(IND_WGHT) where 
BFIN_SH1=1

Sum(IND_WGHT) where 
BFIN_SH1=1 OR BFIN_IN1=1 OR 
BFIN_CR1=1

Sum(IND_WGHT) where 
IOT_DEM=1

Sum(IND_WGHT) where IOT_
DSEC=1

Sum(IND_WGHT) where 
IOT_DHA=1

Sum(IND_WGHT) where 
IOT_DVA=1

Sum(IND_WGHT) where 
IOT_DX=1

Sum(IND_WGHT) where 
IOT_DEM=1 or IOT_DSEC=1 or 
IOT_DHA=1 or IOT_DVA=1

Sum(IND_WGHT) where 
IOT_BDK=1

Sum(IND_WGHT) where 
IOT_BDK=0

Sum(IND_WGHT) where 
IOT_BNN=1

Sum(IND_WGHT) where IOT_
BCST=1

 European compilers’ manual for statistics on the use of ICT in households and by individualsE2d

E2e

E2f

E2g

E2h

E2h

E2i

i_iot_blc

i_iot_blsk

i_iot_bcpp

i_iot_bcsc

i_iot_bcsh

i_iot_bcshx

i_iot_both

Derived from B3o and E2h

i_ihif_iot_bcsh

Derived from B3o and E2h

i_ihif_iot_bcshx

E3a

E3b

E3c

i_iot_iutv

i_iot_iugc

i_iot_iuha

Derived from E3a to E3c

i_iot_iuany

E4a

i_iot_dcs

Data aggregates

5

One reason for not using any of the mentioned 
internet-connected devices or systems for 
private purposes was: Lack of compatibility with 
other devices or systems
One reason for not using any of the mentioned 
internet-connected devices or systems for 
private purposes was: Lack of skill to use those 
devices or systems
One reason for not using any of the mentioned 
internet-connected devices or systems for 
private purposes was: Concerns about the 
privacy and protection of data about me 
generated by those devices or systems
One reason for not using any of the mentioned 
internet-connected devices or systems for 
private purposes was: Concerns about security 
(e.g. that the device or system will be hacked)
One reason for not using any of the mentioned 
internet-connected devices or systems for 
private purposes was: Concerns about safety 
or health (e.g. that the use of the device or 
system could lead to an accident, injury or health 
problem)
One reason for not using any of the mentioned 
internet-connected devices or systems for 
private purposes was not: Concerns about safety 
or health (e.g. that the use of the device or 
system could lead to an accident, injury or health 
problem)
One reason for not using any of the mentioned 
internet-connected devices or systems for 
private purposes was: Other reasons
I have used Internet, in the last 3 months, for 
seeking health-related information and I have 
not used internet-connected devices or systems 
for private purposes, because of concerns about 
safety or health
I have used Internet, in the last 3 months, 
for seeking health-related information and I 
have not used internet-connected devices or 
systems for private purposes, but not because of 
concerns about safety or health
I have used the internet on the following device 
in my home for private purposes: An internet-
connected TV
I have used the internet on the following device 
in my home for private purposes: An internet-
connected game console
I have used the internet on the following device 
in my home for private purposes: An internet-
connected home audio system, smart speakers
I have used the internet on the following 
internet-connected device in my home for 
private purposes: An internet-connected TV, 
game console, home audio system, smart 
speakers
I have used the following internet-connected 
device for private purposes: A smart watch, a 
fitness band, connected goggles or headsets, 
safety-trackers, internet-connected accessories, 
internet-connected clothes or shoes

Sum(IND_WGHT) where 
IOT_BLC=1

Sum(IND_WGHT) where 
IOT_BLSK=1

Sum(IND_WGHT) where IOT_
BCPP=1

Sum(IND_WGHT) where IOT_
BCSC=1

Sum(IND_WGHT) where IOT_
BCSH=1

Sum(IND_WGHT) where IOT_
BCSH=0

Sum(IND_WGHT) where IOT_
BOTH=1

Sum(IND_WGHT) where IHIF=1 
AND IOT_BCSH=1

Sum(IND_WGHT) where IHIF=1 
AND IOT_BCSH=0

Sum(IND_WGHT) where 
IOT_IUTV=1

Sum(IND_WGHT) where 
IOT_IUGC=1

Sum(IND_WGHT) where IOT_
IUHA=1

Sum(IND_WGHT) where 
IOT_IUTV=1 or IOT_IUGC=1 or 
IOT_IUHA=1

Sum(IND_WGHT) where 
IOT_DCS=1

117

European compilers’ manual for statistics on the use of ICT in households and by individuals 5 Data aggregates

E4b

E4c

E4d

i_iot_dhe

i_iot_dtoy

i_iot_dcar

Derived from B3o and E4b

i_ihif_iot_dhe

Derived from D5f and E4b

i_bhlfts_iot_dhe

I have used the following internet-connected 
device for private purposes: Internet-connected 
devices for monitoring blood pressure, sugar 
level, body weight (e.g. smart scales) or other 
internet-connected devices for health and 
medical care
I have used the following internet-connected 
device for private purposes: Toys connected 
to the internet, such as robot toys (including 
educational) or dolls
I have used the following internet-connected 
device for private purposes: A car with built-in 
wireless internet connection
I have used Internet, in the last 3 months, for 
seeking health-related information and I have 
used internet-connected devices for monitoring 
blood pressure, sugar level, body weight (e.g. 
smart scales) or for health and medical care
In the last 3 months, I bought via a website for 
private use apps related to health or fitness 
and I have used internet-connected devices for 
monitoring blood pressure, sugar level, body 
weight (e.g. smart scales) or for health and 
medical care

Sum(IND_WGHT) where 
IOT_DHE=1

Sum(IND_WGHT) where IOT_
DTOY=1

Sum(IND_WGHT) where IOT_
DCAR=1

Sum(IND_WGHT) where IHIF=1 
AND IOT_DHE=1

Sum(IND_WGHT) where 
BHLFTS=1 AND IOT_DHE=1

Derived from E1, E3 and E4 i_iot_use

I have used Internet-connected devices for 
private purposes

Sum(IND_WGHT) where 
IOT_USE=1

i_iot_psec

i_iot_pshe

i_iot_pdu

i_iot_poth

i_iot_px

i_eco_dmobkpt

i_eco_dmobsld

i_eco_dmobrec

i_eco_dmobdis

i_eco_dmobuse

i_eco_dmoboth

i_eco_dltkpt

i_eco_dltsld

I have used Internet-connected devices for 
private purposes and encountered security or 
privacy problems
I have used Internet-connected devices for 
private purposes and encountered safety or 
health problems
I have used Internet-connected devices for 
private purposes and encountered difficulties in 
using the device
I have used Internet-connected devices for 
private purposes and encountered other 
problems
I have used Internet-connected devices for 
private purposes and I have not encountered any 
problems
I kept in my household the mobile or 
smartphone I was no longer using
I sold or gave away the mobile or smartphone I 
was no longer using
I recycled the mobile or smartphone I was no 
longer using
I threw away (not in  electronic waste collection 
or recycling centre) the mobile or smartphone I 
was no longer using
I haven’t bought or still use the mobile or 
smartphone I was no longer using
I did other things with the mobile or smartphone 
I was no longer using
I kept in my household the mobile or 
smartphone I was no longer using
I sold or gave away the mobile or smartphone I 
was no longer using

Sum(IND_WGHT) where 
IOT_PSEC=1

Sum(IND_WGHT) where IOT_
PSHE=1

Sum(IND_WGHT) where 
IOT_PDU=1

Sum(IND_WGHT) where IOT_
POTH=1

Sum(IND_WGHT) where 
IOT_PX=1

Sum(IND_WGHT) where ECO_
DMOB=1
Sum(IND_WGHT) where ECO_
DMOB=2
Sum(IND_WGHT) where ECO_
DMOB=3

Sum(IND_WGHT) where ECO_
DMOB=4

Sum(IND_WGHT) where ECO_
DMOB=5
Sum(IND_WGHT) where ECO_
DMOB=6
Sum(IND_WGHT) where 
ECO_DLT=1
Sum(IND_WGHT) where 
ECO_DLT=2

E5a

E5b

E5c

E5d

E5e

F1a

F1a

F1a

F1a

F1a

F1a

F1b

F1b

118

 European compilers’ manual for statistics on the use of ICT in households and by individualsF1b

F1b

F1b

F1b

F1c

F1c

F1c

F1c

F1c

F1c

F2a

F2b

F2c

F2d

F2e

F2f

F2g

F2h

i_eco_dltrec

i_eco_dltdis

i_eco_dltuse

i_eco_dltoth

i_eco_dpckpt

i_eco_dpcsld

i_eco_dpcrec

i_eco_dpcdis

i_eco_dpcuse

i_eco_dpcoth

i_eco_pp

i_eco_phd

i_eco_pecd

i_eco_peg

i_eco_pee

i_eco_ptbs

i_eco_px

i_eco_pbx

Derived from F2c to f2f

i_eco_peco

Derived from F2a to f2f

i_eco_pge2

Derived from F2a to f2f

i_eco_pge3

Data aggregates

5

I recycled the mobile or smartphone I was no 
longer using
I threw away (not in  electronic waste collection 
or recycling centre) the mobile or smartphone I 
was no longer using
I haven’t bought or still use the mobile or 
smartphone I was no longer using
I did other things with the mobile or smartphone 
I was no longer using
I kept in my household the mobile or 
smartphone I was no longer using
I sold or gave away the mobile or smartphone I 
was no longer using
I recycled the mobile or smartphone I was no 
longer using
I threw away (not in  electronic waste collection 
or recycling centre) the mobile or smartphone I 
was no longer using
I haven’t bought or still use the mobile or 
smartphone I was no longer using
I did other things with the mobile or smartphone 
I was no longer using
When I most recently bought a mobile, 
smartphone, tablet or desktop computer, I 
considered the price as important
When I most recently bought a mobile, 
smartphone, tablet or desktop computer, I 
considered the hard drive or processor speed as 
important
When I most recently bought a mobile, 
smartphone, tablet or desktop computer, I 
considered the eco-design as important
When I most recently bought a mobile, 
smartphone, tablet or desktop computer, I 
considered the possibility of extending the life 
span as important
When I most recently bought a mobile, 
smartphone, tablet or desktop computer, I 
considered the energy efficiency as important
When I most recently bought a mobile, 
smartphone, tablet or desktop computer, 
I considered the take-back scheme by the 
manufacturer or seller as important
When I most recently bought a mobile, 
smartphone, tablet or desktop computer, I didn’t 
consider any of these characteristics as important
I have never bought a mobile, smartphone, 
tablet or desktop computer
When I most recently bought a mobile, 
smartphone, tablet or desktop computer, I 
considered either the eco-design, possibility to 
extend the life span, energy efficiency or take-
back scheme. 
When I most recently bought a mobile, 
smartphone, tablet or desktop computer, I 
considered at least 2 characteristics as important
When I most recently bought a mobile, 
smartphone, tablet or desktop computer, I 
considered at least 3 characteristics as important

Sum(IND_WGHT) where 
ECO_DLT=3

Sum(IND_WGHT) where 
ECO_DLT=4

Sum(IND_WGHT) where 
ECO_DLT=5
Sum(IND_WGHT) where 
ECO_DLT=6
Sum(IND_WGHT) where ECO_
DPC=1
Sum(IND_WGHT) where ECO_
DPC=2
Sum(IND_WGHT) where ECO_
DPC=3

Sum(IND_WGHT) where ECO_
DPC=4

Sum(IND_WGHT) where ECO_
DPC=5
Sum(IND_WGHT) where ECO_
DPC=6

Sum(IND_WGHT) where 
ECO_PP=1

Sum(IND_WGHT) where ECO_
PHD=1

Sum(IND_WGHT) where ECO_
PECD=1

Sum(IND_WGHT) where 
ECO_PEG=1

Sum(IND_WGHT) where 
ECO_PEE=1

Sum(IND_WGHT) where ECO_
PTBS=1

Sum(IND_WGHT) where 
ECO_PX=1

Sum(IND_WGHT) where 
ECO_PBX=1

Sum(IND_WGHT) where ECO_
PECD=1 OR ECO_PEG=1 OR 
ECO_PEE=1 OR ECO_PTBS=1

Sum(IND_WGHT) where ECO_
PCNT>=2

Sum(IND_WGHT) where ECO_
PCNT>=3

119

European compilers’ manual for statistics on the use of ICT in households and by individuals 5 Data aggregates

Derived from F2a to f2f

i_eco_pge4

Derived from F2a to f2f

i_eco_ppq

Derived from F2a to f2f

i_eco_phdq

5.2. Breakdowns

5.2.1. Household level

When I most recently bought a mobile, 
smartphone, tablet or desktop computer, I 
considered at least 4 characteristics as important

When I most recently bought a mobile, 
smartphone, tablet or desktop computer, 
I considered only price as important 
characteristics

When I most recently bought a mobile, 
smartphone, tablet or desktop computer, I 
considered only hard drive or processor speed as 
important

Sum(IND_WGHT) where ECO_
PCNT>=4

Sum(IND_WGHT) where 
ECO_PP=1 AND ECO_PHD=0 
AND ECO_PECD=0 AND ECO_
PEG=0 AND ECO_PEE=0 AND 
ECO_PTBS=0
Sum(IND_WGHT) where 
ECO_PHD=1 AND ECO_PP=0 
AND ECO_PECD=0 AND ECO_
PEG=0 AND ECO_PEE=0 AND 
ECO_PTBS=0

BrkDwn

ColumnCaption

Scope

HH_TOTAL

All households

HH_DEV_L

Households in less developed regions

HH_DEV_T

Households in transition regions 

HH_DEV_M

Households in more developed regions

TRUE

GEO_DEV=1

GEO_DEV=2

GEO_DEV=3

A1

One adult without children

(HH_POP-HH_CHILD)=1 AND HH_CHILD=0

A1_DCH

Single parent with children

(HH_POP-HH_CHILD)=1 AND HH_CHILD>0

A2

A2_DCH

A_GE3

Two adults without children

Two adults with children

(HH_POP-HH_CHILD)=2 AND HH_CHILD=0

(HH_POP-HH_CHILD)=2 AND HH_CHILD>0

Three or more adults without children

(HH_POP-HH_CHILD)>=3 AND HH_CHILD=0

A_GE3_DCH

Three or more adults with children

(HH_POP-HH_CHILD)>=3 AND HH_CHILD>0

HH_DEG_PURBAN Located in a densely populated area

HH_DEG_INT

Located in an intermediate density area

HH_DEG_PRURAL Located in a thinly populated area

ALL_DCH

All household types, with children

ALL_NO_DCH

All household types, no children

DEG_URBA=1

DEG_URBA=2

DEG_URBA=3

HH_CHILD>0

HH_CHILD=0

HI_Q5_1

HI_Q5_2

HI_Q5_3

HI_Q5_4

HI_Q5_5

Income in the first quintile,  i.e. among the 20% lowest incomes 
observed (after grossing up)
Income in the second quintile, i.e. among the 40% lowest 
incomes but not among the 20% lowest (after grossing up)
Income in the third quintile, i.e. among the 60% lowest incomes 
but not among the 40% lowest (after grossing up)
Income in the fourth quintile, i.e. among the 80% lowest 
incomes but not among the 60% lowest (after grossing up)
Income in the fifth quintile, i.e. among the 20% highest incomes 
observed (after grossing up)

HH_IQ5=1

HH_IQ5=2

HH_IQ5=3

HH_IQ5=4

HH_IQ5=5

120

 European compilers’ manual for statistics on the use of ICT in households and by individuals5.2.2. Individual level

Column

Column Caption

LE_15

Y16_24

Y25_34

Y25_54

Y25_64

Y35_44

Y45_54

Y55_64

Y55_74

Y65_74

All persons aged 15 or less

All persons 16-24

All persons 25-34

All persons 25-54

All persons 25-64

All persons 35-44

All persons 45-54

All persons 55-64

All persons 55-74

All persons 65-74

Y75_MAX

All persons aged 75 or more

16_24_I3_4

16_24_I5_8

25_54_I3_4

16_24_I0_2

25_54_I5_8

25_54_I0_2

Persons aged 16-24 with no or low 
education
Persons aged 16-24 with medium 
education
Persons aged 16-24 with high 
education
Persons aged 25-54 with no or low 
education
Persons aged 25-54 with medium 
education
Persons aged 25-54 with high 
education
Persons aged 25-64 with no or low 
education
Persons aged 25-64 with medium 
education
Persons aged 25-64 with high 
education
Persons aged 55-74 with no or low 
education
Persons aged 55-74 with medium 
education
Persons aged 55-74 with high 
education
25_64_RETIROTHER Retired or not in the labour force 

25_64_I0_2

25_64_I5_8

25_64_I3_4

55_74_I0_2

55_74_I5_8

55_74_I3_4

25_64_EMPL_UNE

(excl. students), aged 25-64
In the labour force, aged 25-64

25_64_SALSELFFAM Employee or self-employed (incl. 

25_64_UNEMP

CB_EU_FOR

family workers) aged 25-64
Unemployed aged 25-64

Individuals who are born in another 
EU Member State

CB_EXT_EU

Individuals who are born in non-EU 
country

CB_FOR

Individuals who are foreign-born

Data aggregates

5

Questions/
variables 
covered
All

All 

All 

All

All

All 

All 

All 

All

All 

All

All 

All 

All 

All 

All 

All 

All

All

All

All 

All 

All 

All

All

All

All

All

All

All

Scope

AGE <= 15

AGE BETWEEN 16 AND 24

AGE BETWEEN 25 AND 34

AGE BETWEEN 25 AND 54

AGE BETWEEN 25 AND 64

AGE BETWEEN 35 AND 44

AGE BETWEEN 45 AND 54

AGE BETWEEN 55 AND 64

AGE BETWEEN 55 AND 74

AGE BETWEEN 65 AND 74

AGE >= 75

ISCED=0 AND AGE BETWEEN 16 AND 24

ISCED=3 AND AGE BETWEEN 16 AND 24

ISCED=5 AND AGE BETWEEN 16 AND 24

ISCED=0 AND AGE BETWEEN 25 AND 54

ISCED=3 AND AGE BETWEEN 25 AND 54

ISCED=5 AND AGE BETWEEN 25 AND 54

ISCED=0 AND AGE BETWEEN 25 AND 64

ISCED=3 AND AGE BETWEEN 25 AND 64

ISCED=5 AND AGE BETWEEN 25 AND 64

ISCED=0 AND AGE BETWEEN 55 AND 74

ISCED=3 AND AGE BETWEEN 55 AND 74

ISCED=5 AND AGE BETWEEN 55 AND 74

AGE BETWEEN 25 AND 64 AND MAINSTAT IN(3,4,6,8)

AGE BETWEEN 25 AND 64 AND (MAINSTAT=1 OR 
MAINSTAT=2)
AGE BETWEEN 25 AND 64 AND MAINSTAT=1

AGE BETWEEN 25 AND 64 AND MAINSTAT=2

CNTRYB IS NOT NULL AND CNTRYB IN(‘BE’,’BG’,’CZ
’,’DK’,’DE’,’EE’,’IE’,’EL’,’ES’,’FR’,’HR’,’IT’,’CY’,’LV’,’LT’,’LU’,’H
U’,’MT’,’NL’,’AT’,’PL’,’PT’,’RO’,’SI’,’SK’,’FI’,’SE’) AND NOT 
(CNTRYB=’[DeclaringCountry]’) AND AGE BETWEEN 
16 AND 74
CNTRYB IS NOT NULL AND CNTRYB NOT IN(‘BE’,’BG
’,’CZ’,’DK’,’DE’,’EE’,’IE’,’EL’,’ES’,’FR’,’HR’,’IT’,’CY’,’LV’,’LT’,’LU’
,’HU’,’MT’,’NL’,’AT’,’PL’,’PT’,’RO’,’SI’,’SK’,’FI’,’SE’) AND AGE 
BETWEEN 16 AND 74
CNTRYB IS NOT NULL AND (CNTRYB=’FOR’ OR NOT 
(CNTRYB=’[DeclaringCountry]’)) AND AGE BETWEEN 
16 AND 74

121

European compilers’ manual for statistics on the use of ICT in households and by individuals 5 Data aggregates

Column

Column Caption

CB_NAT

Individuals who are native-born

Questions/
variables 
covered
All

CC_EU_FOR

Nationals of another EU-Member 
State

CC_EXT_EU

Nationals of non-EU country

CC_FOR

Non-nationals

CC_NAT

Nationals

CB_CC_FOR

Individuals who are foreign-born and 
non-nationals

CB_CC_EU_FOR

Individuals who are born in another 
EU Member State and nationals of 
another EU Member State

CB_CC_EXT_EU

Individuals who are born in non-EU 
country and nationals of non-EU 
country

Individuals living in a densely 
populated area
Individuals living in an intermediate 
density area
Individuals living in a thinly populated 
area
No or low education

Medium education

High education

Less than primary education

Primary education

Lower secondary education

Upper secondary education

Post-secondary education but not 
tertiary
Short-cycle tertiary education

Bachelor or equivalent

Master or equivalent

Doctoral or equivalent

IND_DEG_PURBAN

IND_DEG_INT

IND_DEG_PRURAL

I0_2

I3_4

I5_8

I0

I1

I2

I3

I4

I5_2011

I6_2011

I7_2011

I8_2011

122

All

All

All

All

All

All

All

All 

All 

All 

All 

All 

All 

All

All

All

All

All

All

All

All

All

Scope

CNTRYB IS NOT NULL AND 
CNTRYB=’[DeclaringCountry]’ AND AGE BETWEEN 
16 AND 74
CITIZENSHIP IS NOT NULL AND CITIZENSHIP IN(‘BE
’,’BG’,’CZ’,’DK’,’DE’,’EE’,’IE’,’EL’,’ES’,’FR’,’HR’,’IT’,’CY’,’LV’,’LT
’,’LU’,’HU’,’MT’,’NL’,’AT’,’PL’,’PT’,’RO’,’SI’,’SK’,’FI’,’SE’) AND 
NOT (CITIZENSHIP=’[DeclaringCountry]’) AND AGE 
BETWEEN 16 AND 74
CITIZENSHIP IS NOT NULL AND CITIZENSHIP NOT IN
(‘BE’,’BG’,’CZ’,’DK’,’DE’,’EE’,’IE’,’EL’,’ES’,’FR’,’HR’,’IT’,’CY’,’LV’,’
LT’,’LU’,’HU’,’MT’,’NL’,’AT’,’PL’,’PT’,’RO’,’SI’,’SK’,’FI’,’SE’) AND 
AGE BETWEEN 16 AND 74
CITIZENSHIP IS NOT NULL AND 
(CITIZENSHIP=’STLS’ OR CITIZENSHIP=’FOR’ OR 
NOT (CITIZENSHIP=’[DeclaringCountry]’)) AND AGE 
BETWEEN 16 AND 74
CITIZENSHIP IS NOT NULL AND 
CITIZENSHIP=’[DeclaringCountry]’ AND AGE 
BETWEEN 16 AND 74
CNTRYB IS NOT NULL AND (CNTRYB=’FOR’ 
OR NOT (CNTRYB=’[DeclaringCountry]’)) 
AND CITIZENSHIP IS NOT NULL AND 
(CITIZENSHIP=’STLS’ OR CITIZENSHIP=’FOR’ OR 
NOT (CITIZENSHIP=’[DeclaringCountry]’)) AND AGE 
BETWEEN 16 AND 74
CNTRYB IS NOT NULL AND CNTRYB IN(‘BE’,’BG’,’CZ
’,’DK’,’DE’,’EE’,’IE’,’EL’,’ES’,’FR’,’HR’,’IT’,’CY’,’LV’,’LT’,’LU’,’H
U’,’MT’,’NL’,’AT’,’PL’,’PT’,’RO’,’SI’,’SK’,’FI’,’SE’) AND NOT 
(CNTRYB=’[Country]’) AND CITIZENSHIP IS NOT NULL 
AND CITIZENSHIP IN(‘BE’,’BG’,’CZ’,’DK’,’DE’,’EE’,’IE’,’EL’,’E
S’,’FR’,’HR’,’IT’,’CY’,’LV’,’LT’,’LU’,’HU’,’MT’,’NL’,’AT’,’PL’,’PT’,’R
O’,’SI’,’SK’,’FI’,’SE’) AND NOT (CITIZENSHIP=’[Country]’) 
AND AGE BETWEEN 16 AND 74
CNTRYB IS NOT NULL AND CNTRYB NOT IN(‘BE’,’B
G’,’CZ’,’DK’,’DE’,’EE’,’IE’,’EL’,’ES’,’FR’,’HR’,’IT’,’CY’,’LV’,’LT’,’
LU’,’HU’,’MT’,’NL’,’AT’,’PL’,’PT’,’RO’,’SI’,’SK’,’FI’,’SE’) AND 
CITIZENSHIP IS NOT NULL AND CITIZENSHIP NOT IN(‘
BE’,’BG’,’CZ’,’DK’,’DE’,’EE’,’IE’,’EL’,’ES’,’FR’,’HR’,’IT’,’CY’,’LV’,’LT’
,’LU’,’HU’,’MT’,’NL’,’AT’,’PL’,’PT’,’RO’,’SI’,’SK’,’FI’,’SE’)
AGE BETWEEN 16 AND 74 AND DEG_URBA=1

AGE BETWEEN 16 AND 74 AND DEG_URBA=2

AGE BETWEEN 16 AND 74 AND DEG_URBA=3

AGE BETWEEN 16 AND 74 AND ISCED=0

AGE BETWEEN 16 AND 74 AND ISCED=3

AGE BETWEEN 16 AND 74 AND ISCED=5

AGE BETWEEN 16 AND 74 AND ISCEDD=0

AGE BETWEEN 16 AND 74 AND ISCEDD=1

AGE BETWEEN 16 AND 74 AND ISCEDD=2

AGE BETWEEN 16 AND 74 AND ISCEDD=3

AGE BETWEEN 16 AND 74 AND ISCEDD=4

AGE BETWEEN 16 AND 74 AND ISCEDD=5

AGE BETWEEN 16 AND 74 AND ISCEDD=6

AGE BETWEEN 16 AND 74 AND ISCEDD=7

AGE BETWEEN 16 AND 74 AND ISCEDD=8

 European compilers’ manual for statistics on the use of ICT in households and by individualsColumn

Column Caption

RETIR_OTHER

SAL_SELF_FAM

STUD

UNEMP

Retired or not in the labour force 
(excl. students)
Employee or self-employed (incl. 
family workers)
Student

Unemployed

EMPL_UNE

In the labour force

F_Y16_74

M_Y16_74

F_Y16_24

F_Y25_54

F_Y25_64

F_Y55_74

M_Y16_24

M_Y25_54

M_Y25_64

M_Y55_74

F_I0_2

F_I3_4

F_I5_8

M_I0_2

M_I3_4

M_I5_8

ISCO_ICT

ISCO_ICTX

ISCO0_5

ISCO6_9

IND_DEV_L

IND_DEV_T

IND_DEV_M

RF_0

All females 16-74

All males 16-74

Females 16-24

Females 25-54

Females 25-64

Females 55-74

Males 16-24

Males 25-54

Males 25-64

Males 55-74

Females with no or low education

Females with medium education

Females with high education

Males with no or low education

Males with medium education

Males with high education

ICT professionals

Non-ICT professionals

Non-manual workers (including 
armed forces)
Manual workers

Living in less developed regions

Living in transition regions

Living in more developed regions

Questions/
variables 
covered
All 

All 

All 

All 

All 

All 

All 

All 

All 

All

All 

All 

All 

All

All 

All 

All 

All 

All 

All 

All 

All

All

All

All

All 

All 

All

Individual with no risk factor

B1, C1, C2

RF_3

Individual with three risk factors

B1, C1, C2

RF_BLANK

RF_GE1

Individual for which the risk factors 
could not be determined
Individuals with at least one risk factor

B1, C1, C2

B1, C1, C2

RF_GE2

Individuals with at least two risk 
factors

B1, C1, C2

Data aggregates

5

Scope

AGE BETWEEN 16 AND 74 AND MAINSTAT IN(3,4,6,8)

AGE BETWEEN 16 AND 74 AND MAINSTAT=1

AGE BETWEEN 16 AND 74 AND MAINSTAT=5

AGE BETWEEN 16 AND 74 AND MAINSTAT=2

AGE BETWEEN 16 AND 74 AND (MAINSTAT=1 OR 
MAINSTAT=2)
SEX=2 AND AGE BETWEEN 16 AND 74

SEX=1 AND AGE BETWEEN 16 AND 74

SEX=2 AND AGE BETWEEN 16 AND 24

SEX=2 AND AGE BETWEEN 25 AND 54

SEX=2 AND AGE BETWEEN 25 AND 64

SEX=2 AND AGE BETWEEN 55 AND 74

SEX=1 AND AGE BETWEEN 16 AND 24

SEX=1 AND AGE BETWEEN 25 AND 54

SEX=1 AND AGE BETWEEN 25 AND 64

SEX=1 AND AGE BETWEEN 55 AND 74

AGE BETWEEN 16 AND 74 AND SEX=2 AND ISCED=0

AGE BETWEEN 16 AND 74 AND SEX=2 AND ISCED=3

AGE BETWEEN 16 AND 74 AND SEX=2 AND ISCED=5

AGE BETWEEN 16 AND 74 AND SEX=1 AND ISCED=0

AGE BETWEEN 16 AND 74 AND SEX=1 AND ISCED=3

AGE BETWEEN 16 AND 74 AND SEX=1 AND ISCED=5

AGE BETWEEN 16 AND 74 AND OCC_ICT=1

AGE BETWEEN 16 AND 74 AND OCC_ICT=0

AGE BETWEEN 16 AND 74 AND OCC_MAN=0

AGE BETWEEN 16 AND 74 AND OCC_MAN=1

AGE BETWEEN 16 AND 74 AND GEO_DEV=1

AGE BETWEEN 16 AND 74 AND GEO_DEV=2

AGE BETWEEN 16 AND 74 AND GEO_DEV=3

AGE BETWEEN 16 AND 74 AND RF_AGE<>9 AND 
RF_AGE IS NOT NULL AND RF_EDU1<>9 AND 
RF_EDU1 IS NOT NULL AND RF_MAINSTAT<>9 AND 
RF_MAINSTAT IS NOT NULL AND RF_AGE + RF_EDU1 
+ RF_MAINSTAT = 0
AGE BETWEEN 16 AND 74 AND RF_AGE<>9 AND 
RF_AGE IS NOT NULL AND RF_EDU1<>9 AND 
RF_EDU1 IS NOT NULL AND RF_MAINSTAT<>9 AND 
RF_MAINSTAT IS NOT NULL AND RF_AGE + RF_EDU1 
+ RF_MAINSTAT = 3
AGE IS NULL OR (AGE BETWEEN 16 AND 74 AND 
(RF_EDU1 IS NULL OR RF_MAINSTAT IS NULL))
AGE BETWEEN 16 AND 74 AND RF_AGE<>9 AND 
RF_AGE IS NOT NULL AND RF_EDU1<>9 AND 
RF_EDU1 IS NOT NULL AND RF_MAINSTAT<>9 AND 
RF_MAINSTAT IS NOT NULL AND RF_AGE + RF_EDU1 
+ RF_MAINSTAT >= 1
AGE BETWEEN 16 AND 74 AND RF_AGE<>9 AND 
RF_AGE IS NOT NULL AND RF_EDU1<>9 AND 
RF_EDU1 IS NOT NULL AND RF_MAINSTAT<>9 AND 
RF_MAINSTAT IS NOT NULL AND RF_AGE + RF_EDU1 
+ RF_MAINSTAT >= 2

123

European compilers’ manual for statistics on the use of ICT in households and by individuals 5 Data aggregates

Column

Column Caption

HI_Q5_1

HI_Q5_2

HI_Q5_3

HI_Q5_4

HI_Q5_5

IND_DISABL

IND_TOTAL

IND_DCH

IND_NO_DCH

SELF_S

SELF_NS

SAL

FAM

SELF_FAM

EMP_WKT_FT

EMP_WKT_PT

EMP_CON_PRM

EMP_CON_TMP

EMP_A

EMP_B

EMP_C

EMP_D

EMP_E

EMP_F

Individual lives in a household with 
income in the first quintile,  i.e. among 
the 20% lowest incomes observed 
(after grossing up)
Individual lives in a household with 
income in the second quintile, i.e. 
among the 40% lowest incomes but 
not among the 20% lowest (after 
grossing up)
Individual lives in a household with 
income in the third quintile, i.e. 
among the 60% lowest incomes but 
not among the 40% lowest (after 
grossing up)
Individual lives in a household with 
income in the fourth quintile, i.e. 
among the 80% lowest incomes but 
not among the 60% lowest (after 
grossing up)
Individual lives in a household with 
income in the fifth quintile, i.e. among 
the 20% highest incomes observed 
(after grossing up)
Individuals who are unable to 
work due to long-standing health 
problems
All individuals

Individuals living in a household with 
children
Individuals living in a household 
without children
Self-employed person with 
employees
Self-employed person without 
employees
Employees

Unpaid family workers

Self-employed, including unpaid 
family workers
Working full time

Working part time

Persons aged 16-74 with a permanent 
job
Persons aged 16-74 with a fixed-term 
contract
Persons aged 16-74 working in 
agriculture, forestry or fishing
Persons aged 16-74 working in mining 
or quarrying
Persons aged 16-74 working in 
manufacturing
Persons aged 16-74 working 
in electricity, gas, steam or air 
conditioning supply
Persons aged 16-74 working in 
water supply; sewerage, waste 
management or remediation 
activities
Persons aged 16-74 working in the 
construction

124

Questions/
variables 
covered
All

Scope

AGE BETWEEN 16 AND 74 AND HH_IQ5=1

All

AGE BETWEEN 16 AND 74 AND HH_IQ5=2

All

AGE BETWEEN 16 AND 74 AND HH_IQ5=3

All

AGE BETWEEN 16 AND 74 AND HH_IQ5=4

All

AGE BETWEEN 16 AND 74 AND HH_IQ5=5

All

MAINSTAT=4 AND AGE BETWEEN 16 AND 74

All 

All

All

All

All

All

All

All

All

All

All

All

All

All

All

All

All

AGE BETWEEN 16 AND 74

AGE BETWEEN 16 AND 74 AND HH_CHILD>0

AGE BETWEEN 16 AND 74 AND HH_CHILD=0

AGE BETWEEN 16 AND 74 AND STAPRO=1

AGE BETWEEN 16 AND 74 AND STAPRO=2

AGE BETWEEN 16 AND 74 AND STAPRO=3

AGE BETWEEN 16 AND 74 AND STAPRO=4

AGE BETWEEN 16 AND 74 AND STAPRO IN(1,2,4)

AGE BETWEEN 16 AND 74 AND EMPST_WKT=1

AGE BETWEEN 16 AND 74 AND EMPST_WKT=2

AGE BETWEEN 16 AND 74 AND EMPST_CONTR=1

AGE BETWEEN 16 AND 74 AND EMPST_CONTR=2

AGE BETWEEN 16 AND 74 AND NACE1D=’A’

AGE BETWEEN 16 AND 74 AND NACE1D=’B’

AGE BETWEEN 16 AND 74 AND NACE1D=’C’

AGE BETWEEN 16 AND 74 AND NACE1D=’D’

AGE BETWEEN 16 AND 74 AND NACE1D=’E’

All

AGE BETWEEN 16 AND 74 AND NACE1D=’F’

 European compilers’ manual for statistics on the use of ICT in households and by individualsColumn

Column Caption

EMP_G

EMP_H

EMP_I

EMP_J

EMP_K

EMP_L

EMP_M

EMP_N

EMP_O

EMP_P

EMP_Q

EMP_R

EMP_S

DIS_LTD

DIS_LTDSEV

DIS_NONE

DIS_SEV

F_DIS_LTD

F_DIS_LTDSEV

F_DIS_NONE

F_DIS_SEV

M_DIS_LTD

M_DIS_LTDSEV

M_DIS_NONE

16_24_DIS_SEV

25_54_DIS_LTD

25_54_DIS_LTDSEV

Persons aged 16-74 working in 
wholesale or retail trade; repair of 
motor vehicles and motorcycles
Persons aged 16-74 working in 
transportation and storage
Persons aged 16-74 working in 
accommodation or food service 
activities
Persons aged 16-74 working in 
information and communication
Persons aged 16-74 working in 
financial or insurance activities
Persons aged 16-74 working in real 
estate activities
Persons aged 16-74 working in 
professional, scientific or technical 
activities
Persons aged 16-74 working in 
administrative or support service 
activities
Persons aged 16-74 working in 
public administration or defence; 
compulsory social security
Persons aged 16-74 working in 
education
Persons aged 16-74 working in 
human health or social work activities
Persons aged 16-74 working in arts, 
entertainment or recreation
Persons aged 16-74 working in other 
service activities
Disability (activity limitation): limited, 
but not severely
Disability (activity limitation): limited 
or severely limited
Disability (activity limitation): not 
limited at all
Disability (activity limitation): severely 
limited
Females with disability (activity 
limitation): limited, but not severely
Females with disability (activity 
limitation): limited or severely limited
Females with disability (activity 
limitation): not limited at all
Females with disability (activity 
limitation): severely limited
Males with disability (activity 
limitation): limited, but not severely
Males with disability (activity 
limitation): limited or severely limited
Males with disability (activity 
limitation): not limited at all
Individuals aged 16 to 24 with 
disability (activity limitation): severely 
limited
Individuals aged 25 to 54 with 
disability (activity limitation): limited, 
but not severely
Individuals aged 25 to 54 with 
disability (activity limitation): limited 
or severely limited

Data aggregates

5

Questions/
variables 
covered
All

Scope

AGE BETWEEN 16 AND 74 AND NACE1D=’G’

All

All

All

All

All

All

All

All

All

All

All

All

All

All

All

All

All

All

All

All

All

All

All

All

All

All

AGE BETWEEN 16 AND 74 AND NACE1D=’H’

AGE BETWEEN 16 AND 74 AND NACE1D=’I’

AGE BETWEEN 16 AND 74 AND NACE1D=’J’

AGE BETWEEN 16 AND 74 AND NACE1D=’K’

AGE BETWEEN 16 AND 74 AND NACE1D=’L’

AGE BETWEEN 16 AND 74 AND NACE1D=’M’

AGE BETWEEN 16 AND 74 AND NACE1D=’N’

AGE BETWEEN 16 AND 74 AND NACE1D=’O’

AGE BETWEEN 16 AND 74 AND NACE1D=’P’

AGE BETWEEN 16 AND 74 AND NACE1D=’Q’

AGE BETWEEN 16 AND 74 AND NACE1D=’R’

AGE BETWEEN 16 AND 74 AND NACE1D=’S’

AGE BETWEEN 16 AND 74 AND GALI=2

AGE BETWEEN 16 AND 74 AND GALI IN(1,2)

AGE BETWEEN 16 AND 74 AND GALI=3

AGE BETWEEN 16 AND 74 AND GALI=1

SEX=2 AND AGE BETWEEN 16 AND 74 AND GALI=2

SEX=2 AND AGE BETWEEN 16 AND 74 AND GALI 
IN(1,2)
SEX=2 AND AGE BETWEEN 16 AND 74 AND GALI=3

SEX=2 AND AGE BETWEEN 16 AND 74 AND GALI=1

SEX=1 AND AGE BETWEEN 16 AND 74 AND GALI=2

SEX=1 AND AGE BETWEEN 16 AND 74 AND GALI 
IN(1,2)
SEX=1 AND AGE BETWEEN 16 AND 74 AND GALI=3

AGE BETWEEN 16 AND 24 AND GALI=1

AGE BETWEEN 25 AND 54 AND GALI=2

AGE BETWEEN 25 AND 54 AND GALI IN(1,2)

125

European compilers’ manual for statistics on the use of ICT in households and by individuals 5 Data aggregates

Column

Column Caption

25_54_DIS_NONE

25_54_DIS_SEV

55_74_DIS_LTD

55_74_DIS_LTDSEV

55_74_DIS_NONE

55_74_DIS_SEV

Individuals aged 25 to 54 with 
disability (activity limitation): not 
limited at all
Individuals aged 25 to 54 with 
disability (activity limitation): severely 
limited
Individuals aged 55 to 74 with 
disability (activity limitation): limited, 
but not severely
Individuals aged 55 to 74 with 
disability (activity limitation): limited 
or severely limited
Individuals aged 55 to 74 with 
disability (activity limitation): not 
limited at all
Individuals aged 55 to 74 with 
disability (activity limitation): severely 
limited

5.2.3 Regional data 

Questions/
variables 
covered
All

Scope

AGE BETWEEN 25 AND 54 AND GALI=3

All

All

All

All

All

AGE BETWEEN 25 AND 54 AND GALI=1

AGE BETWEEN 55 AND 74 AND GALI=2

AGE BETWEEN 55 AND 74 AND GALI IN(1,2)

AGE BETWEEN 55 AND 74 AND GALI=3

AGE BETWEEN 55 AND 74 AND GALI=1

It is mandatory to provide data for NUTS level 1. Regional data on NUTS level 2 is voluntary.

Data will be computed for NUTS level 1 and 2 (if supplied), for the variables listed in the table below: 

Model questionnaire

Variable codes

SAMPLEH

HOUSEH

SAMPLEP

POP

H_IACC

I_IU3

I_IUX

I_ILT12

I_IDAY

I_IUSE

I_IUSNET

I_IUSELL

I_IUBK

I_BUY3

I_B3_12

I_BLT12

I_BUMT12

I_BUMT12X

I_BPG_EU

Back

Back

Back

Back

A1

B1

B1

B1

B2

B2

B3c

B3s

B3t

D1

D1

D1

D1

D1

D3b

126

 European compilers’ manual for statistics on the use of ICT in households and by individualsData aggregates

5

5.2.4. Data on youth

Additional age groups 16-19, 20-24, 25-29, 16-29 are computed (see below) and disseminated in Eurobase:

Column

Column Caption

Questions/variables 
covered

Scope

Y16_19

Y20_24

Y25_29

Y16_29

All persons 16-19

All persons 20-24

All persons 25-29

All persons 16-29

F_Y16_19

Females 16-19

F_Y20_24

Females 20-24

F_Y25_29

Females 25-29

F_Y16_29

Females 16-29

M_Y16_19

Males 16-19

M_Y20_24

Males 20-24

M_Y25_29

Males 25-29

M_Y16_29

Males 16-29

16_29_I0_2

Persons aged 16-29 with no or low education

16_29_I3_4

Persons aged 16-29 with medium education

16_29_I5_8

Persons aged 16-29 with high education

All

All

All

All

All

All

All

All

All

All

All

All

All

All

All

AGE BETWEEN 16 AND 19

AGE BETWEEN 20 AND 24

AGE BETWEEN 25 AND 29

AGE BETWEEN 16 AND 29

SEX=2 AND AGE BETWEEN 16 AND 19

SEX=2 AND AGE BETWEEN 20 AND 24

SEX=2 AND AGE BETWEEN 25 AND 29

SEX=2 AND AGE BETWEEN 16 AND 29

SEX=1 AND AGE BETWEEN 16 AND 19

SEX=1 AND AGE BETWEEN 20 AND 24

SEX=1 AND AGE BETWEEN 25 AND 29

SEX=1 AND AGE BETWEEN 16 AND 29

ISCED=0 AND AGE BETWEEN 16 AND 29

ISCED=3 AND AGE BETWEEN 16 AND 29

ISCED=5 AND AGE BETWEEN 16 AND 29

127

European compilers’ manual for statistics on the use of ICT in households and by individuals Once Eurostat received and validated the data transferred by the NSI, and computed the aggregates from the microdata, the 
European aggregates are calculated and the complete database with the results from the surveys is published online. 

6.1. Data description

Eurostat publishes the data on the use of ICT in households and by individuals gathered by the NSI on the basis of the model 
questionnaire along with EU metadata. The results of the surveys are published as ratios.  

A ratio is the result of a division of a numerator and a denominator. Numerators and denominators are aggregated variables. 

For example, Eurostat computes a ratio by dividing the aggregated variable i_iu3 (individuals that have used the internet in the last 
3 months) by the aggregated variable pop (total individuals), and the result is i_iu3 with unit pc_ind (percentage of all individuals). 

Similarly, we compute EU ratios by dividing the sum (over all Member States) of the aggregated variable i_iu3 by the sum of the 
aggregated variable pop. 

Given that data published in this domain are based on the annually changing model questionnaires, Eurostat also provides, in a 
dedicated webpage, a table that lists the available ratios and breakdowns per year.

In addition, Eurostat publishes “country specific notes” that provide a snapshot of the metadata delivered by each NSI.   

6.2. Confidentiality and flags

After aggregating the micro data, when computing the ratios, Eurostat will flag any result where the denominator is generated from 
less than 50 households/individuals as “unreliable”. Additionally, if the denominator is generated from less than 20 households/
individuals, Eurostat will not publish it at national level. 

Data are published on the public channels (data navigation tree and the dedicated webpage) and, due to the level of aggregation, 
there are no confidentiality issues. Micro-data are solely accessible for researchers on request and, in this case, confidentiality is 
ensured by anonymising the personal data.

6.3. Dissemination channels 

Data  on  use  of  ICT  in  households  and  by  individuals  are  accessible  on  Eurostat’s  website  through  different  paths:  the  data 
navigation  tree,  the  Statistics  Explained  articles,  the  dedicated  webpage,  which  includes  an  interactive  publication  and,  for 
microdata, through a specific request procedure.

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European compilers’ manual for statistics on the use of ICT in households and by individuals 614. Data transmission6 Data transmission

Eurostat navigation tree 

Data on use of ICT in households and by individuals are disseminated on Eurostat’s website under the ‘ICT usage in households 
and by individuals’ sub branch of the ‘science, technology, digital society’ heading. 

Statistics Explained

Statistics Explained is an official Eurostat website presenting statistical topics in an easily understandable way. The Digital economy 
and society page contains the links to the main statistical articles related to ICT data for enterprises, household and individuals.

130

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6

Dedicated webpage

In addition, the complete Eurostat working database is available online along with information on the variables and breakdowns 
collected over time, description on how to use the database, model questionnaires, country specific notes, and other related 
information.

Interactive publication

The interactive publication on Digital economy and society in the EU - A browse through our online world in figures — 2018 
edition, available at the same link under ‘Publications’ (left menu), provides easily understandable statistics on several ICT-related 
topics and presents them using texts, interactive data visualisations and an animation.

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European compilers’ manual for statistics on the use of ICT in households and by individuals 6 Data transmission

Restricted access to microdata

Researchers  can  request  access  to  anonymised  micro-data  following  a  specific  procedure  as  indicated  in  the  PDF  document 
published on Eurostat’s website.

The link to the dedicated webpage to the dataset of ICT usage by Household and Individuals is at page 8 of the file.

132

 European compilers’ manual for statistics on the use of ICT in households and by individualsCommission Delegated Regulation (EU) 2020/256 of 16 December 2019 supplementing Regulation (EU) 2019/1700 of the 
European Parliament and of the Council by establishing a multiannual rolling planning (https://eur-lex.europa.eu/legal-content/
EN/TXT/?uri=CELEX%3A32020R0256)

Commission Delegated Regulation (EU) 2021/1898 of 20 July 2021 supplementing Regulation (EU) 2019/1700 of the 
European Parliament and of the Council by specifying the number and titles of the variables for the use of information 
and communication technologies statistics domain for reference year 2022 (https://eur-lex.europa.eu/legal-content/EN/
TXT/?uri=CELEX%3A32021R1898

Commission Implementing Regulation (EU) 2019/2180 of 16 December 2019 specifying the detailed arrangements and content 
for the quality reports pursuant to Regulation (EU) 2019/1700 of the European Parliament and of the Council (https://eur-lex.
europa.eu/legal-content/EN/TXT/?uri=uriserv:OJ.L_.2019.330.01.0008.01.ENG)

Commission Implementing Regulation (EU) 2019/2181 of 16 December 2019 specifying technical characteristics as regards items 
common to several datasets pursuant to Regulation (EU) 2019/1700 of the European Parliament and of the Council (https://eur-
lex.europa.eu/legal-content/EN/TXT/?uri=uriserv:OJ.L_.2019.330.01.0016.01.ENG)

Commission Implementing Regulation (EU) 2021/1223 of 27 July 2021 specifying the technical items of the data set, establishing 
the technical formats for transmission of information and specifying the detailed arrangements and content of the quality 
reports on the organisation of a sample survey in the use of information and communication technologies domain for reference 
year 2022 pursuant to Regulation (EU) 2019/1700 of the European Parliament and of the Council (https://eur-lex.europa.eu/legal-
content/EN/TXT/?uri=CELEX:32021R1223)

Contacts EDAMIS Help Centre: (https://webgate.ec.europa.eu/edamis/helpcenter/website/index.htm).

Council Regulation (EEC) No 696/93 of 15 March 1993 on the statistical units for the observation and analysis of the production 
system in the Community (https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A31993R0696)

Directive 2008/48/EC of the European Parliament and of the Council of 23 April 2008 on credit agreements for consumers and 
repealing Council Directive 87/102/EEC (https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex%3A32008L0048)

ESS Vision 2020 SERV (https://ec.europa.eu/eurostat/cros/content/ess-vision-2020-shared-services_en)

European Commission (2009), Regulation (EC) No 223/2009 of the European Parliament and of the Council on the transmission 
of data subject to statistical confidentiality to the Statistical Office of the European Communities (https://eur-lex.europa.eu/
legal-content/EN/ALL/?uri=CELEX%3A32009R0223).

European Commission (2021), Communication from the Commission ‘2030 Digital Compass: the European way for the Digital 
decade’, COM/2021/118 final (https://eur-lex.europa.eu/legal-content/en/TXT/?uri=CELEX:52021DC0118)

European Commission Political Guidelines 2019-2024 (https://ec.europa.eu/info/sites/default/files/political-guidelines-next-
commission_en_0.pdf)

European Statistical System (2019), Quality Assurance Framework of the European Statistical System (https://ec.europa.eu/
eurostat/documents/64157/4392716/ESS-QAF-V2.0-final.pdf).

European Statistical System Committee (2017), European Statistics Code of Practice — revised edition 2017 (https://ec.europa.eu/
eurostat/web/quality/european-quality-standards/european-statistics-code-of%20practice).

133

European compilers’ manual for statistics on the use of ICT in households and by individuals 16. ReferencesReferences

Eurostat - Business Architecture, for ESS Validation (https://ec.europa.eu/eurostat/cros/system/files/business_architecture_for_
ess_validation_-_final.pdf).

Eurostat - ESS Reference Metadata reporting standards (https://ec.europa.eu/eurostat/data/metadata/metadata-structure).

Eurostat (2015), Single Integrated Metadata Structure 2.0 (SIMS v2.0) and its underlying reporting structures. The ESS Quality and 
reference metadata reporting standards ESMS 2.0 and ESQRS 2. (https://ec.europa.eu/eurostat/documents/64157/4373903/SIMS-
2-0-Revised-standards-November-2015-ESSC-final.pdf).

Eurostat (2018), Methodology for data validation 2.0, revised edition 2018 (https://ec.europa.eu/eurostat/cros/content/ess-
handbook-methodology-data-validation-version-20-revision-2018_en).

Eurostat (2020), European Statistical System handbook for quality and metadata reports (https://ec.europa.eu/eurostat/
documents/3859598/10501168/KS-GQ-19-006-EN-N.pdf).

Eurostat (2021), EU Labour Force Survey - new methodology (https://ec.europa.eu/eurostat/statistics-explained/index.
php?title=EU_Labour_Force_Survey_-_new_methodology_from_2021_onwards)

Eurostat (2021), European Business Statistics Manual (https://ec.europa.eu/eurostat/web/products-manuals-and-guidelines/-/ks-
gq-21-001).

Eurostat (2021), European business statistics methodological manual for statistical business registers (https://ec.europa.eu/
eurostat/web/products-manuals-and-guidelines/-/ks-gq-20-006).

Eurostat Data Transmission Helpdesk: ESTAT-SUPPORT-EDAMIS@ec.europa.eu

ISCED 2011 Operational Manual (http://uis.unesco.org/sites/default/files/documents/international-standard-classification-of-
education-isced-2011-en.pdf)

ISCED 2011 Operational Manual Guidelines for classifying national education programmes and related qualifications (http://
uis.unesco.org/sites/default/files/documents/isced-2011-operational-manual-guidelines-for-classifying-national-education-
programmes-and-related-qualifications-2015-en_1.pdf)

NACE Rev. 2 - Statistical classification of economic activities (https://ec.europa.eu/eurostat/web/products-manuals-and-
guidelines/-/ks-ra-07-015)

NUTS (Nomenclature of Territorial Units for Statistics), by regional level, version 2021 
(https://ec.europa.eu/eurostat/ramon/nomenclatures/index.cfm?TargetUrl=LST_NOM_
DTL&StrNom=NUTS_2021L&StrLanguageCode=EN&IntPcKey=&StrLayoutCode=HIERARCHIC&IntCurrentPage=1)

Regulation (EU) 2015/759 of the European Parliament and of the Council of 29 April 2015 amending Regulation (EC) No 223/2009 
on European statistics (https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32015R0759&from=EN)

Regulation (EU) 2019/1700 of 10 October 2019 establishing a common framework for European statistics relating to persons 
and households, based on data at individual level collected from samples, amending Regulations (EC) No 808/2004, (EC) No 
452/2008 and (EC) No 1338/2008 of the European Parliament and of the Council, and repealing Regulation (EC) No 1177/2003 of 
the European Parliament and of the Council and Council Regulation (EC) No 577/98 (https://eur-lex.europa.eu/legal-content/en/
TXT/?uri=CELEX%3A32019R1700)

Statistical Data and Metadata eXchange (‘SDMX’) website (https://sdmx.org).

UNECE – Common Statistical Production Architecture (‘CSPA’) (https://statswiki.unece.org/display/CSPA).

UNECE – CSPA Global Artefacts Catalogue (incl. link to the CSPA service catalogue in the ESS (https://statswiki.unece.org/display/
CSPA/CSPA+Global+Artefacts+Catalogue).

UNECE – Generic Statistical Business Process Model (‘GSBPM’) (https://statswiki.unece.org/display/GSBPM/GSBPM+v5.1).

UNECE – High-Level Group for the Modernisation of Official Statistics (Modernstats) (https://statswiki.unece.org/display/hlgbas/
High-Level+Group+for+the+Modernisation+of+Official+Statistics).

Validation and Transformation Language (‘VTL’) on the SDMX website) (https://sdmx.org)

134

 European compilers’ manual for statistics on the use of ICT in households and by individualsAnnex 1 - Model questionnaire .............................................................. 139

Annex 2 - Validations rules ..................................................................... 161

Annex 3 - Metadata reporting template ................................................ 225

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European compilers’ manual for statistics on the use of ICT in households and by individuals 18. AnnexesAnnex 1 - Model questionnaire

Annex 1 - Model questionnaire

EUROPEAN COMMISSION 
EUROSTAT 

Directorate G : Business and trade statistics 
Unit G-4: Innovation and digitalisation 

EU SURVEY ON THE USE OF ICT IN HOUSEHOLDS AND BY INDIVIDUALS 

2022 

MODEL QUESTIONNAIRE 

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 European compilers’ manual for statistics on the use of ICT in households and by individuals 
 
 
 
 
 
 
 
 
 
 
 
Annex 1 - Model questionnaire

2022 
Model Questionnaire version 1.3 - Response burden 

Module  Description 

Mandatory variables 

Optional variables  

A 

B 

C 

D 

E 

F 

G 

Access to Information and 
Communication 
Technologies 

Use of the internet  

Use of e-government  

Use of e-commerce  

Internet of Things 

Green ICT 

Socio-demographic 
background information 

Total 

Total 

Without socio-demographic 
background information 

With socio-demographic 
background information 

1 

27 

20 

42 

26 

3 

15 

119 

134 

0 

1 

4 

1 

0 

8 

10 

14 

24 

3 

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European compilers’ manual for statistics on the use of ICT in households and by individuals  
 
 
 
Annex 1 - Model questionnaire

SURVEY ON THE USE OF ICT IN HOUSEHOLDS AND BY INDIVIDUALS 
2022 
Model Questionnaire version 1.3 

(*) annual (**) biennial (***) triennial (*/**) - annual or biennial in the Monitoring Framework 

(No asterisk) – Not included in the Monitoring Framework 

Module A: Access to Information and Communication Technologies 

Note: This module is directed to the household and asks about the internet access at home by all members of the 
household regardless of the device (e.g.  desktop computer, laptop, tablet, mobile or smartphone, smart devices, 
etc.). 

A1. 

Do  you  or  anyone  in  your  household  have  access  to  the 
internet at home? 

(by any device) 

Yes  
->go to B1 

No  
-> go to B1 

Don't know 
 
-> go to B1 

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 European compilers’ manual for statistics on the use of ICT in households and by individuals 
  
 
 
Annex 1 - Model questionnaire

Module B: Use of the internet 
Note:  This  module  asks  about  your  internet  use  at  any  location  (home,  work  or  other  places)  via  any  device 
(desktop computer, laptop, tablet, mobile or smart phone, smart devices, etc.). 

B1.*  When did you last use the internet? 

(Filter question) 

a) Within the last 3 months 

b) Between 3 months and a year ago 

c) More than 1 year ago  

d) Never used it 

B2.*  How often on average, did you use the internet in the last 3 months? 

(tick one) 

a) Several times during the day 

b) Once a day or almost every day 

c) At least once a week (but not every day) 

d) Less than once a week 

[-> go to B3] 

 -> go to B2 

 -> go to C1 

 -> go to G1 

 -> go to G1 

 

 

 

 

5 

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European compilers’ manual for statistics on the use of ICT in households and by individuals  
  
 
 
 
 
 
 
 
 
Annex 1 - Model questionnaire

B3. 

For which of the following activities did you use the internet (including via apps) in the last 3 months 
for private purpose? 

(tick all that apply) 

Communication 

* a) Sending / receiving e-mails 

* b) Making calls (including video calls) over the internet, for example, via Skype, Messenger, 

WhatsApp, Facetime, Viber, Snapchat, Zoom, MS Teams, Webex 

* c) Participating in social networks (creating user profile, posting messages or other 

contributions to Facebook, Twitter, Instagram, Snapchat, etc.) 

 d) Using instant messaging, i.e. exchanging messages, for example, via Skype, Messenger, 

WhatsApp, Viber, Snapchat  

Access to information 

*/** e) Finding information about goods or services 

*/** f) Reading online news sites/ newspapers/ news magazines 

Civic and political participation 

*g) Expressing opinions on civic or political issues on websites or in social media (e.g. 

Facebook, Twitter, Instagram, YouTube) 

*h) Taking part in online consultations or voting to define civic or political issues (e.g. urban 

planning, signing a petition) 

Use of entertainment 

** i) Listening to music (e.g. web radio, music streaming) or downloading music 

**  j)  Watching  internet  streamed  TV  (live  or  catch-up)  from  TV  broadcasters  (e.g.  [national 

examples]) 

** k) Watching Video on Demand from commercial services (e.g. Netflix, HBO GO, Amazon 

Prime, Maxdome, Apple TV) 

** l) Watching video content from sharing services (e.g. YouTube) 

** m) Playing or downloading games 

   n) Listening to podcasts or downloading podcasts (optional) 

eHealth 

** o) Seeking health-related information (e.g. injuries, diseases, nutrition, improving health, etc.) 

**  p)  Making  an  appointment  with  a  practitioner  via  a  website  or  app  (e.g.  of  a  hospital  or  a 

health care centre) 

    q) Accessing personal health records online 

   r) Using other health services via a website or app instead of having to go to the hospital or 

visit a doctor (e.g. by getting a prescription or a consultation online) 

Other on-line services 

* s) Selling of goods or services via a website or app (e.g. eBay, Facebook Marketplace, 

shpock) 

* t) Internet Banking (including mobile banking) 

[-> go to B4] 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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 European compilers’ manual for statistics on the use of ICT in households and by individuals 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Annex 1 - Model questionnaire

B4.* 

Have  you  conducted  any  of  the  following  learning  activities  over  the  internet for  educational, 
professional or private purposes in the last 3 months? 
(tick all that apply) 

a) Doing an online course 

b)  Using  online  learning  material  other  than  a  complete  online  course  (e.g.  video  tutorials, 
webinars, electronic textbooks, learning apps or platforms) 

c) Communicating with educators or learners using audio or video online tools (e.g. Zoom, 
MS Teams, Google Classroom, [national examples], etc.) 

B5.*/** 

[-> go to B5] 
(Only for respondents who ticked ‘yes’ to B4 a) or b) or c)) 
What was the purpose of the learning activities you participated in the last 3 months? 
(tick all that apply)  

a) For formal education (e.g. school or university) 

b) For professional/work-related purposes 

c) For private purpose 

[-> go to C1]  

 

 

 

 

 

 

7 

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European compilers’ manual for statistics on the use of ICT in households and by individuals  
  
  
  
 
  
  
  
  
 
 
 
Annex 1 - Model questionnaire

Module C: Use of e-government  

For respondents who used the internet in the last 12 months – "Yes" to options a) or b) in question B1  

This  module  asks  about  the  usage  of  websites  or  apps  of  public  authorities  (e.g.  government  and/or  judiciary  bodies  at 
national,  regional  and  local  level)  and  the  use  of  public  services  over  the  internet.  Contacts  through  manually  typed  e-
mails should be excluded. 

Websites  or  apps  of  public  authorities  or  public  services  include  websites  concerning  citizen  obligations  (e.g.  tax 
declaration,  notification  of  moving),  rights  (e.g.  social  benefits),  official  documents  (e.g.  ID  card,  birth  certificate),  public 
educational services (e.g. public libraries, information on the enrolment in schools or universities), public health services 
(e.g. services of public hospitals). 

C1.*  Have  you  performed  any  of  the  following  activities  via  a  website  or  app  of  public  authorities  or  public 

services for private purpose in the last 12 months? 

(tick all that apply or d)) 

a) Accessed information stored about you by public authorities or public services (e.g. information 
regarding [pension], [health [including government health application]], [national examples]) 

b) Accessed information from public databases or registers (e.g. information about availability of 

books in public libraries, cadastral registers, enterprise registers) 

c) Obtained information (e.g. about services, benefits, entitlements, laws, opening hours) 

d) Have not performed any of the mentioned activities 

[-> go to C2] 

 

 

 

 

C2.*  Have you downloaded/printed any official forms from a website or app of public authorities or public 

services for private purpose in the last 12 months? 
(tick one) 

a) Yes 

b) No 

[-> go to C3] 

 

 

C3.*  Have you made any appointment or reservation via a website or app with public authorities or public 

services (e.g. reservation of a book in a public library, appointment with a government servant or a state 
healthcare provider) for private purpose in the last 12 months? 
(tick one) 

a) Yes 

b) No 

[-> go to C4] 

 

 

C4.*
.  

Have  you  received  any  official  communication/document  by  public  authorities  via  your  account  on  a 
website  or  app  [name  of  the  service  -  if  applicable  in  the  country]  of  public  authorities  or  services  (e.g. 
notification of fines or invoices, letters, service of court summons, court documents, [national examples]) 
for private purpose in the last 12 months? (optional) 
(Exclude the usage of e-mail or SMS based information messages or notifications that a document is available) 

a) Yes 

b) No 

[-> go to C5] 

 

 

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Annex 1 - Model questionnaire

C5.*  Have you submitted your tax declaration via a website or app for private purpose in the last 12 months? 

(tick one) 

a) Yes, I did it myself  

b) No, it was done automatically (by the tax authority, employer, other authority) 

c) No, I delivered it to the tax authority in paper format 

d) No, someone else did it on my behalf (e.g. family member, tax adviser) 

e) No, for other reasons (e.g. not subject to income tax) 

[-> go to C6] 

 

 

 

 

 

C6.*  Have  you  performed  any  of  the  following  activities  via  a  website  or  app  of  public  authorities  or  public 

services for private purpose in the last 12 months? 

(tick all that apply) 

a)  Requested  official  documents  or  certificates  (e.g.  graduation,  birth,  marriage, 
divorce,  death,  residence  certificates,  police  or  criminal  records,  [national 
examples]) 

b)  Requested  benefits  or  entitlements  (e.g.  pension,  unemployment,  child 

allowance, enrolment in schools, universities, [national examples]) 

c)  Made  other  requests,  claims  or  complaints  (e.g.  report  theft  to  the  police, 
launch  a  legal  complaint,  request  legal  aid,  initiate  a  civil  claim  procedure  in 
front of a court, [national examples]) 

 

 

 

[If ‘no’ reply to all options in C6 -> go to C7; otherwise-> go to C8] 

C7.*  (Only for respondents who answered ‘no’ to all options in C6) 

What were the reasons for not requesting any official documents or not making any claims via a website or 
app of public authorities or public services in the last 12 months? 

(tick all that apply or a)) 

a) I did not have to request any documents or to make any claims 

b) Lack of skills or knowledge (e.g. did not know how to use the website/app or it 

was too complicated to use) 

c)  Concerns  about  the  security  of  personal  data  or  unwillingness  to  pay  online 

(credit card fraud)  

d) Lack of electronic signature, activated electronic identification (eID) or any other 
tool to use the eID (required for using the services) [national examples] (optional) 

e) Another person did it on my behalf (e.g. consultant, adviser, relative) 

f) Other reason 

[->  If  any  of  the  following  items  selected:  C1a)  b),  c),  C2a),  C3a),  C4a),  C5a), 
C6a), b), c) -> go to C8, otherwise -> go to D1] 

 

 

 

 

 

 

9 

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Annex 1 - Model questionnaire

C8.** 

(Only for respondents who selected at least one of the following items: C1a), b), c), C2a), C3a), C4a), C5a), C6 a), b), c)) 

Have you encountered any of the following issues when using a website or app of public authorities or 
public services in the last 12 months? 

(tick all that apply or g) 

a)  Website  or  app  was  difficult  to  use  (e.g.  it  was  not  user-friendly,  the  wording  was  not  clear, 
procedure was not well explained) 

b) Technical problems experienced when using website or app (e.g. long loading, website crashed) 

c) Problems in using the electronic signature or electronic identification (eID)  (optional) 

d)  Not  able  to  pay  via  the  website  or  app  (e.g.  due  to  lack  of  access  to  the  payment  methods 
required) (optional) 

e)  Not  able  to  access  the  service  on  smartphone  or  tablet  (e.g.  non  compatible  device  version  or 
non-available applications) 

f) Other issue 

g) I have not encountered any issues 

[-> go to D1] 

 

 

 

 

 

 

 

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Annex 1 - Model questionnaire

Module D: Use of e-commerce 
For respondents who used the internet in the last 12 months – "Yes" to options a) or b) in question B1. 
Note: The following questions concern buying for private use over the Internet, either via a website or with an 
app.  Include  also  buying  from  private  persons  in  marketplaces  (e.g.  Airbnb,  Facebook  Marketplace,  [national 
examples]). 

D1.*    When did you last buy or order goods or services for private use over the internet? 

(tick one) 

a) Within the last 3 months 

b) Between 3 months and a year ago 

c) More than 1 year ago 

d) Never bought or ordered over the Internet 

 -> go to D2 

 -> go to D11 

-> go to D11 

-> go to D11 

D2.*  

Did you buy any of the following goods via a website or app for private use in the last 3 months? Include 
online purchases from enterprises or private persons, including used goods. 
(tick all that apply) 

a) Clothes (including sport clothing), shoes or accessories (e.g. bags, jewellery) 

b) Sports goods (excluding sport clothing) 

c) Children toys or childcare items (e.g. nappies, bottles, baby strollers) 

d)  Furniture,  home  accessories  (e.g.  carpets  or  curtains)  or  gardening  products  (e.g. 

tools, plants) 

e) Music as CDs, vinyls, etc. 

f) Films or series as DVDs, Blu-ray, etc. 

g) Printed books, magazines or newspapers 

h) Computers, tablets, mobile phones or accessories 

i)  Consumer  electronics  (e.g.  TV-sets,  stereos,  cameras,  sound  bars  or  smart 

speakers, virtual assistants) or household appliances (e.g. washing machines) 

j) Medicine or dietary supplements such as vitamins (online renewal of prescriptions is 

not included) 

k) Deliveries from restaurants, fast-food chains, catering services 

l) Food or beverages from stores or from meal-kits providers 

m) Cosmetics, beauty or wellness products 

n)  Cleaning products or personal hygiene products (e.g. toothbrushes, handkerchiefs, 

washing detergents, cleaning cloths) 

o) Bicycles, mopeds, cars, or other vehicles or their spare parts 

p) Other physical goods 

[-> go to D3] 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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D3.*/** 

(Only for respondents who answered 'yes' to any item in D2) 
From whom did you buy the mentioned goods via a website or app in the last 3 months? Include online 
purchases from enterprises or private persons. 
(tick all that apply) 

a) National sellers 

b) Sellers from other EU countries 

c) Sellers from the rest of the world 

d) Country of origin of sellers is not known 

[-> go to D4] 

 

 

 

 

D4.** 

(Only for respondents who answered ‘yes’ to any item in D2) 

Did  you  buy  any  of  the  mentioned  goods  from  private  persons  via  a  website  or  app  (e.g.  on  eBay, 
Facebook Marketplace, [national examples])? 
(tick one) 

a) Yes 

b) No 

[->  go to D5] 

 

 

D5.* 

(Only for respondents who answered 'yes' to 'Within the last 3 months' in question D1) 
Did  you  buy  or  subscribe  to  any  of  the  following  via  a  website  or  app  for  private  use  in  the  last  3 
months? 
(tick all that apply) 

a) Music as a streaming service or downloads  

b) Films or series as a streaming service or downloads 

c) E-books, online-magazines or online-newspapers 

d) Games online or as downloads for smartphones, tablets, computers or consoles  

e) Computer or other software as downloads including upgrades  

f) Apps related to health or fitness (excluding free apps) 

g) Other apps (e.g. related to learning languages, travelling, weather) (excluding free 
apps) 

[-> go to D6] 

 

 

 

 

 

 

 

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D6.*    (Only for respondents who answered 'yes' to 'Within the last 3 months' in question D1) 

  Did you buy any of the following via a website or app for private use in the last 3 months? 
  (tick all that apply) 

a) Tickets to sports events 

b) Tickets to cultural or other events (cinema, concerts, fairs, etc.) 

c) Subscriptions to the internet or mobile phone connections 

d) Subscriptions to electricity, water or heating supply, waste disposal or similar services 

e)  Household  services  (e.g.  cleaning,  babysitting,  repair  work,  gardening)  (also  when 
bought from private persons via e.g. Facebook Marketplace, [national examples]) 

[->  go to D7] 

 

 

 

 

 

D7.    (Only for respondents who answered 'yes' to  e) in question D6) 

  Did you buy any of the mentioned household services via a website or app from private persons (e.g. on 

Facebook Marketplace, [national examples])?  

  (tick one) 

a) Yes 

b) No 

[-> go to D8] 

 

 

D8.*   (Only for respondents who answered 'yes' to 'Within the last 3 months' in question D1) 

 Did you buy any transport service via a website or app for private use in the last 3 months from:  
 (tick all that apply) 

a)  A  transport  enterprise  e.g.  local  bus,  train,  flight  ticket,  taxi  ride  (e.g.  [national 
examples], UBER1) 

b) A private person (e.g. [national examples]) 

[-> Go to D9] 

 

 

D9.*    Did you rent accommodation via website or app for private use in the last 3 months from:  

  (tick all that apply) 

a) Enterprises such as hotels or travel agencies 

b) A private person (e.g. Airbnb, [national examples]) 

         

         

[[-> go to D10] 

1 "UBER" is to be mentioned in the list of examples only in countries where UBER offers its services in a way which can be assimilated to 

a taxi service. 

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D10.  Did  you  buy  any  other  services  (excluding  financial  and  insurance  services)  than  those  mentioned 

previously via a website or app for private use in the last 3 months? (optional) 
(tick one) 

a) Yes 

b) No 

[-> Go to D11] 

         

         

D11. 

(Only for respondents who answered 'yes' to "Within the last 3 months" in question B1) 

Did you carry out any of the following via a website or app for private purposes in the last 3 months?  
(tick all that apply) 

a)  Buy  insurance policies,  including  travel  insurance,  also  as a package together with  e.g.  a 
plane ticket 

b) Take a loan, mortgage or arrange credit from banks or other financial providers 

c)  Buy or sell shares, bonds, units in funds or other financial assets 

[-> go to E1] 

 

 

 

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Module E: Internet of Things 
For respondents who used the internet in the last 3 months – "Yes" to option a) in question B1 
The  following questions  concern  the  use  of  internet connected  devices or  systems  for private  purposes that  can 
also  be  connected  to  each  other  to  enable  advanced  services;  e.g.  remotely  controlling  the  device,  adjusting 
settings, giving instructions for tasks to be performed, receiving feedback from the device, etc. 

E1.  Have you used any of the following internet-connected devices or systems for private purposes? 

(tick all that apply or e)) 

a)  Internet-connected  thermostat,  utility  meter,  lights,  plug-ins  or  other  internet-
connected solutions for energy management for your home 

      -> Go to E3 

b)  Internet-connected  home  alarm  system,  smoke  detector,  security  cameras,  door 
locks or other internet-connected security/safety solutions for your home 
c)  Internet-connected home appliances such as robot vacuums, fridges, ovens, coffee 
machines 

d)  A  virtual  assistant  in  the  form  of  a  smart  speaker  or  of  an  app,  such  as  Google 
Home, Amazon Alexa/Echo/Computer, Google Assistant, Siri, Cortana, Bixby 

e) I have not used any of the above 

-> Go to E3 

 -> Go to E3 

-> Go to E3 

 -> Go to E2 

E2. 

(Only for respondents who answered ‘Yes’ to E1e))  

What  were  the  reasons  for  not  using  any  of  the  mentioned  internet-connected  devices  or  systems  for 
private purposes?  

 (tick all that apply or a)) 

a) I didn't know such devices or systems exist  

b) I had no need to use those connected devices/systems 

c) Costs too high  

d) Lack of compatibility with other devices or systems  

e) Lack of skills to use those devices or systems  

f)  Concerns  about  the  privacy  and  protection  of  data  about  me  generated  by  those 
devices or systems 

g) Concerns about security (e.g. that the device or system will be hacked) 

h) Concerns about safety or health (e.g. that the use of the device or system could lead 
to an accident, injury or health problem) 

i) Other reasons 

[-> go to E3] 

 
-> if 'yes' to E2 a), go 
to question E3; if 'no', 
go to b)-i) of question 
E2 

 

 

 

 

 

 

 

 

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E3
. 

Have you used the internet on any of the following devices in your home for private purposes? 
 (tick all that apply) 

a) An internet-connected TV  

b) An internet-connected game console 

c) An internet-connected home audio system, smart speakers 

[-> Go to E4] 

E4  Have you used any of the following internet-connected devices for private purposes? 

(tick all that apply) 

a)  A  smart  watch,  a  fitness  band,  connected  goggles  or  headsets,  safety-trackers, 
internet-connected accessories, internet-connected clothes or shoes 

b)  Internet-connected  devices  for  monitoring  blood  pressure,  sugar  level,  body  weight 
(e.g. smart scales) or other internet-connected devices for health and medical care  

c) Toys connected to the internet, such as robot toys (including educational) or dolls  

d) A car with built-in wireless internet connection 

[if ‘Yes’ to any of the following reply options: E1 a), b), c), d); E3 a), b), c); E4 a), b), c), d) 
-> go to E5, otherwise go to F1]] 

 

 

 

 

 

 

 

E5 

(Only for respondents who answered ‘Yes’ to any of the following reply options: E1 a)-d), E3 a)-c), E4 a)-d)) 

Have  you  encountered  any  of  the  following  problems  with  the  mentioned  internet-connected  devices  or 
systems? 
(tick all that apply or e)) 

a)  Security  or  privacy  problems  (e.g.  the  device  or  system  was  hacked,  problems  with 
the  protection  of  information  about  me  and  my  family  generated  by  those  devices  or 
systems)  
b) Safety or health problems (e.g. the use of  the device  or system lead to an accident, 
injury or health problem) 

c)  Difficulties  with  using  the  device  (e.g.  setting-up,  installing,  connecting,  pairing  the 
device) 

d) Other problems (e.g. connection problems, support problems) 

e) I have not encountered any problem 

[-> go to F1] 

 

 

 

 

 

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Module F: Green ICT 
For respondents who used the internet in the last 3 months – "Yes" to option a) in question B1. 

F1. 

What did you do with any of the following devices when you replaced or were no longer using them?  
(For each item, please refer to your personal, most recent device that you replaced/no longer use) 

(for each item tick one) 

a)  It  is  still 
kept  in  my 
household 

b) It was 
sold  or 
given 
away 

c)  It  was  disposed  of 
in  electronic  waste 
collection/recycling 
(incl.  leaving  it  to  the 
retailer to dispose of) 

was 
It 
d) 
disposed  of  but 
not  in  electronic 
waste collection/ 
recycling 

It  was 
e) 
never  bought 
or  is  still  in 
use 

f) Other 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

a)  Mobile  or 
smartphone 
b)  Laptop  or 
tablet 
c)  Desktop 
computer 
[-> Go to F2] 

F2. 

When you most recently bought a mobile or smartphone, tablet, laptop or desktop computer, which of 
the following characteristics did you consider important? (Optional) 

(tick all that apply or g) or h)) 

a) Price 

b) Hard drive characteristics (storage, speed), processor speed 

c)  Ecodesign  of  the  device  e.g.  durable,  upgradeable  and  reparable  designs  that  require 
fewer materials; environmentally friendly materials used for packaging, etc. 

d) Possibility to extend the life span of the device by buying extra guarantee 

e) Energy efficiency of the device 

f) A take-back scheme offered by manufacturer or seller (i.e. the manufacturer or seller takes 
the  device  which  becomes  obsolete  at  no  cost  or  offers  discounts  to  the  client  to  purchase 
another device) 

g) Have not considered any of the mentioned characteristics 

h) Never bought any of these devices 

[-> Go to G1] 

 

 

 

 

 

 

 

 

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Module G: Socio-demographic background information 

DEMOGRAPHY 

G1. 

Age in completed years 

Year of birth 

 

Passing of birthday at the reference date  

Yes    

No         

Reference date2 

G2. 

Sex 

CITIZENSHIP AND MIGRANT BACKGROUND 

G3. 

Country of birth  

Country  of  usual  residence  of  the  individual’s  mother  at  the  time  of  the  delivery, 
according to the current national boundaries (and not according to the boundaries in 
place at the time of birth)  

G4. 

Country of main citizenship 

(DD / MM / YYYY) 

Male    

Female     

 or other …………..…………. 
SCL GEO code3 or “Foreign-born but country of birth 
unknown” 

 or other …………..…………. 
SCL GEO code3, “Stateless” or “Foreign citizenship 
but country unknown” 

EDUCATION ATTAINMENT AND BACKGROUND 

G5. 

Educational  attainment  level  (highest  level  of  education  successfully  completed)  according  to  the  International 
Standard Classification of Education (ISCED 2011): 

(tick only one) 

  No formal education [ ISCED 0 ] 

  Primary education [ ISCED 1 ] 

  Lower secondary education [ ISCED 2 ] 

  Upper secondary education [ ISCED 3 ]  

  Post-secondary non-tertiary education [ ISCED 4 ] 

  Short-cycle tertiary education [ ISCED 5 ] 

  Bachelor’s or equivalent level [ ISCED 6 ] 

  Master’s or equivalent level [ ISCED 7 ] 

  Doctoral or equivalent level [ ISCED 8 ] 

2 The reference date is the time of the first interview (DD/MM/YYYY). 
according 

countries 

defined 

list 

3

 The 
(SCL) 
GEO:http://ec.europa.eu/eurostat/ramon/nomenclatures/index.cfm?TargetUrl=LST_NOM_DTL&StrNom=CL_GEO&StrLanguageCod
e=EN&IntPcKey=&StrLayoutCode=HIERARCHIC (English version) 

Standard 

Eurostat 

Code 

the 

list 

of 

to 

is 

152

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LABOUR MARKET PARTICIPATION 

MAIN ACTIVITY STATUS (Employment situation) 

G6. 

Main activity status (self-defined)                                                                                                

(tick only one) 

Employed 

Unemployed 

Retired 

Unable to work due to a long–standing health problems 

Student, pupil (not in the labour force) 

Fulfilling domestic tasks 

Compulsory military or civilian service (if applicable) 

Other  

 

 

 

 

 

 

 

 

ELEMENTARY JOB CHARACTERISTICS and CAREER CONTINUITY AND BREAKS 

(Only for respondents who answered “yes” to “employed” in question G6) 

G7. 

Status in employment in the main job                                                                                        

 (tick only one) 

Self-employed person with employees  

Self-employed person without employees  

Employee  

Family worker (unpaid) 

G8. 

(Only for respondents who answered “yes” to “employed” in question G6) 

Full- or part-time main job (self-defined) (OPTIONAL) 

(tick only one) 

Full-time job 

Part-time job 

G9. 

(Only for respondents who answered “yes” to “employee” in question G7) 

Permanency of main job (OPTIONAL) 

(tick only one) 

Permanent job 

Fixed-term contract 

 

 

 
 

 

 

 

 

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(Only for respondents who answered “yes” to “employed” in question G6) 

Economic activity of the local unit for the main job (OPTIONAL)                                                            

G10. 

 (tick only one) 

A 

B 

C 

D 

E 

F 

G 

H 

I 

J 

K 

L 

M 

N 

O 

P 

Q 

R 

S 

Agriculture, Forestry and Fishing 

Mining and Quarrying 

Manufacturing 

Electricity, Gas, Steam and Air Conditioning Supply 

Water  supply;  sewerage,  waste  management  and 
remediation activities 

Construction 

Wholesale and retail trade; repair of motor vehicles  
and motorcycles 

Transportation and Storage 

Accommodation and Food Service Activities 

Information and Communication 

Financial and Insurance Activities 

Real Estate Activities 

Professional, Scientific and Technical Activities 

Administrative and Support Service Activities 

Public  Administration  And  Defence;  Compulsory 
Social Security 

Education 

Human Health and Social Work Activities 

Arts, Entertainment and Recreation 

Other Service Activities 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

(Only for respondents who answered “yes” to “employed” in question G6) 

G11. 

Occupation in the main job  

< description > 

<Transmission  of  all  2-digit  ISCO-08  occupations  mandatory.  In  addition, 
ICT  professional/  Non-ICT  professional;  Manual 
transmission  of: 
worker/Non-manual worker> 

 

SCL ISCO-08  

2 digits code 

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Annex 1 - Model questionnaire

LOCALISATION 

Region of Residence  

< description > 

NUTS 1 

Region of Residence 

< description > 

NUTS 2 OPTIONAL 

G12. 

G13. 

G14. 

G15. 

Geographical location 
(tick only one) 

Less developed region 

Transition region 

More developed region 

Degree of urbanisation 
(tick only one) 

Cities (Densely populated area) 

Towns and suburbs (Intermediate density area) 

Rural areas (Thinly populated area)  

HOUSEHOLD COMPOSITION 

G16. 

Total number of members in the household  
(household size)    

of which: OPTIONAL 

Number of persons aged from 16 to 24 

of which: OPTIONAL 

Number of students 

Number of persons aged 25 to 64 

Number of persons aged more than or equal to 65 

G17. 

of which, number of children under 16: 

of which: OPTIONAL 

Number of children aged from 14 to 15 

Number of children aged from 5 to 13 

Number of children aged less than or equal to 4 

 

 

 

 

 

 

 

<__>  

<__> 

<__> 

<__> 

<__> 

<__> 

<__> 

<__> 

<__> 

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TOTAL MONTHLY HOUSEHOLD INCOME 

Household income:  

<___________>  <national currency> or income bands 

(total  average  net  current 
monthly income) 

G18. 

To  be  transmitted  in  one  of  the  five  equivalised  income 
quintiles’ groups 
(for more information regarding the mode of collection of this 
variable, see methodological manual) 
DISABILITY AND OTHER ELEMENTS OF THE MINIMUM EUROPEAN HEALTH MODULE 

G19. 

Limitation in activities because of health problems  

(self-perceived health status) 

 Severely limited 
 Limited but not severely 
 Not limited at all 

INTERVIEW DURATION 

G20. 

Interview duration 

<__ __ __> min 

  Disclaimer: References to third-party brands, products and trademarks are for the sake of clarification and are 

not intended to promote the use of such products 

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Annex 2 - Validations rules

Annex 2 - Validations rules

Survey

KeyName

KeyGroup

Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

byage

byage

byage

byage

byage

byage

byage

byage

byage

byage

byage

byage

byage

byage

byage

byage

byage

byage

byage

byage

byage

byage

byage

byage

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

ind_total = y16_24 + y25_34 + y35_44 + y45_54 + y55_64 + y65_74

le_15 >= 0

y16_24 <= ind_total

y16_24 >= 0

y25_34 <= ind_total

y25_34 >= 0

y25_54 <= ind_total

y25_54 = y25_34 + y35_44 + y45_54

y25_54 >= 0

y25_64 <= ind_total

y25_64 = y25_54 + y55_64

y25_64 >= 0

y35_44 <= ind_total

y35_44 >= 0

y45_54 <= ind_total

y45_54 >= 0

y55_64 <= ind_total

y55_64 >= 0

y55_74 <= ind_total

y55_74 = y55_64 + y65_74

y55_74 >= 0

y65_74 <= ind_total

y65_74 >= 0

y75_max >= 0

16_24_i0_2 <= i0_2

16_24_i0_2 <= y16_24

16_24_i0_2 >= 0

16_24_i3_4 <= i3_4

16_24_i3_4 <= y16_24

16_24_i3_4 >= 0

16_24_i5_8 <= i5_8

16_24_i5_8 <= y16_24

16_24_i5_8 >= 0

25_54_i0_2 <= i0_2

25_54_i0_2 <= y25_54

25_54_i0_2 >= 0

25_54_i3_4 <= i3_4

25_54_i3_4 <= y25_54

25_54_i3_4 >= 0

25_54_i5_8 <= i5_8

25_54_i5_8 <= y25_54

25_54_i5_8 >= 0

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European compilers’ manual for statistics on the use of ICT in households and by individuals Annex 2 - Validations rules

Survey

KeyName

KeyGroup

Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageedu

byageemp

byageemp

byageemp

byageemp

byageemp

byageemp

byageemp

byageemp

byageemp

byageemp

byageemp

byageemp

byageemp

byageemp

bycbirth

158

25_64_i0_2 <= i0_2

25_64_i0_2 <= y25_64

25_64_i0_2 >= 0

25_64_i3_4 <= i3_4

25_64_i3_4 <= y25_64

25_64_i3_4 >= 0

25_64_i5_8 <= i5_8

25_64_i5_8 <= y25_64

25_64_i5_8 >= 0

55_74_i0_2 <= i0_2

55_74_i0_2 <= y55_74

55_74_i0_2 >= 0

55_74_i3_4 <= i3_4

55_74_i3_4 <= y55_74

55_74_i3_4 >= 0

55_74_i5_8 <= i5_8

55_74_i5_8 <= y55_74

55_74_i5_8 >= 0

i0_2 = 16_24_i0_2 + 25_54_i0_2 + 55_74_i0_2

i3_4 = 16_24_i3_4 + 25_54_i3_4 + 55_74_i3_4

i5_8 = 16_24_i5_8 + 25_54_i5_8 + 55_74_i5_8

y16_24 = 16_24_i0_2 + 16_24_i3_4 + 16_24_i5_8

y16_24 >= 16_24_i0_2 + 16_24_i3_4 + 16_24_i5_8

y25_54 = 25_54_i0_2 + 25_54_i3_4 + 25_54_i5_8

y25_54 >= 25_54_i0_2 + 25_54_i3_4 + 25_54_i5_8

y25_64 = 25_64_i0_2 + 25_64_i3_4 + 25_64_i5_8

y25_64 >= 25_64_i0_2 + 25_64_i3_4 + 25_64_i5_8

y55_74 = 55_74_i0_2 + 55_74_i3_4 + 55_74_i5_8

y55_74 >= 55_74_i0_2 + 55_74_i3_4 + 55_74_i5_8

25_64_empl_une <= empl_une

25_64_empl_une <= y25_64

25_64_empl_une = 25_64_salselffam + 25_64_unemp

25_64_empl_une >= 0

25_64_retirother <= retir_other

25_64_retirother <= y25_64

25_64_retirother >= 0

25_64_salselffam <= sal_self_fam

25_64_salselffam <= y25_64

25_64_salselffam >= 0

25_64_unemp <= unemp

25_64_unemp <= y25_64

25_64_unemp >= 0

y25_64 >= 25_64_salselffam + 25_64_unemp + 25_64_retirother

cb_eu_for <= ind_total

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

bycbirth

bycbirth

bycbirth

bycbirth

bycbirth

bycbirth

bycbirth

bycbirth

bycbirth

bycbirth

bycbirth

byccitizen

byccitizen

byccitizen

byccitizen

byccitizen

byccitizen

byccitizen

byccitizen

byccitizen

byccitizen

byccitizen

byccitizen

bydch

bydch

bydch

bydch

bydch

byedu

byedu

byedu

byedu

byedu

byedu

byedu

byedu

byedud

byedud

byedud

byedud

byedud

byedud

byedud

byedud

cb_eu_for >= 0

cb_ext_eu <= ind_total

cb_ext_eu >= 0

cb_for <= ind_total

cb_for = cb_eu_for + cb_ext_eu

cb_for >= 0

cb_for >= cb_eu_for + cb_ext_eu

cb_nat <= ind_total

cb_nat >= 0

ind_total = cb_nat + cb_for

ind_total >= cb_nat + cb_for

cc_eu_for <= ind_total

cc_eu_for >= 0

cc_ext_eu <= ind_total

cc_ext_eu >= 0

cc_for <= ind_total

cc_for = cc_eu_for + cc_ext_eu

cc_for >= 0

cc_for >= cc_eu_for + cc_ext_eu

cc_nat <= ind_total

cc_nat >= 0

ind_total = cc_nat + cc_for

ind_total >= cc_nat + cc_for

ind_dch <= ind_total

ind_dch >= 0

ind_no_dch <= ind_total

ind_no_dch >= 0

ind_total = ind_dch + ind_no_dch

i0_2 <= ind_total

i0_2 >= 0

i3_4 <= ind_total

i3_4 >= 0

i5_8 <= ind_total

i5_8 >= 0

ind_total = i0_2 + i3_4 + i5_8

ind_total >= i0_2 + i3_4 + i5_8

i0 <= i0_2

i0 >= 0

i0_2 = i0 + i1 + i2

i0_2 >= i0 + i1 + i2

i1 <= i0_2

i1 >= 0

i2 <= i0_2

i2 >= 0

159

European compilers’ manual for statistics on the use of ICT in households and by individuals Annex 2 - Validations rules

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KeyName

KeyGroup

Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

byedud

byedud

byedud

byedud

byedud

byedud

byedud

byedud

byedud

byedud

byedud

byedud

byedud

byedud

byemp

byemp

byemp

byemp

byemp

byemp

byemp

byemp

byemp

byemp

byemp

byemp

byemp

byemp

byemp

byemp

byemp

i3 <= i3_4

i3 >= 0

i3_4 = i3 + i4

i3_4 >= i3 + i4

i4 <= i3_4

i4 >= 0

i5_2011 <= i5_8

i5_2011 >= 0

i5_8 = i5_2011 + i6_2011 + i7_2011 + i8_2011

i5_8 >= i5_2011 + i6_2011 + i7_2011 + i8_2011

i6_2011 <= i5_8

i6_2011 >= 0

i7_2011 <= i5_8

i8_2011 <= i5_8

empl_une <= ind_total

empl_une = sal_self_fam + unemp

empl_une >= 0

ind_disabl <= retir_other

ind_disabl >= 0

ind_total = stud + sal_self_fam + unemp + retir_other

ind_total >= stud + sal_self_fam + unemp + retir_other

retir_other <= ind_total

retir_other >= 0

sal_self_fam <= empl_une

sal_self_fam <= ind_total

sal_self_fam >= 0

stud <= ind_total

stud >= 0

unemp <= empl_une

unemp <= ind_total

unemp >= 0

byempcontr

emp_con_prm <= sal

byempcontr

emp_con_prm >= 0

byempcontr

emp_con_tmp <= sal

byempcontr

emp_con_tmp >= 0

byempcontr

sal = emp_con_prm + emp_con_tmp

byempcontr

sal >= emp_con_prm + emp_con_tmp

byempdet

byempdet

byempdet

byempdet

byempdet

byempdet

byempdet

fam <= self_fam

fam >= 0

sal <= sal_self_fam

sal >= 0

sal_self_fam = sal + self_fam

self_fam <= sal_self_fam

self_fam = self_s + self_ns + fam

160

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

byempdet

byempdet

byempdet

byempdet

byempdet

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempsect

byempwkt

self_fam >= 0

self_ns <= self_fam

self_ns >= 0

self_s <= self_fam

self_s >= 0

emp_a <= sal_self_fam

emp_a >= 0

emp_b <= sal_self_fam

emp_b >= 0

emp_c <= sal_self_fam

emp_c >= 0

emp_d <= sal_self_fam

emp_d >= 0

emp_e <= sal_self_fam

emp_e >= 0

emp_f <= sal_self_fam

emp_f >= 0

emp_g <= sal_self_fam

emp_g >= 0

emp_h <= sal_self_fam

emp_h >= 0

emp_i <= sal_self_fam

emp_i >= 0

emp_j <= sal_self_fam

emp_j >= 0

emp_k <= sal_self_fam

emp_k >= 0

emp_l <= sal_self_fam

emp_l >= 0

emp_m <= sal_self_fam

emp_m >= 0

emp_n <= sal_self_fam

emp_n >= 0

emp_o <= sal_self_fam

emp_o >= 0

emp_p <= sal_self_fam

emp_p >= 0

emp_q <= sal_self_fam

emp_q >= 0

emp_r <= sal_self_fam

emp_r >= 0

emp_s <= sal_self_fam

emp_s >= 0

emp_wkt_ft <= sal_self_fam

161

European compilers’ manual for statistics on the use of ICT in households and by individuals Annex 2 - Validations rules

Survey

KeyName

KeyGroup

Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

byempwkt

byempwkt

byempwkt

byempwkt

byempwkt

bygender

bygender

bygender

bygender

bygender

emp_wkt_ft >= 0

emp_wkt_pt <= sal_self_fam

emp_wkt_pt >= 0

sal_self_fam = emp_wkt_ft + emp_wkt_pt

sal_self_fam >= emp_wkt_ft + emp_wkt_pt

f_y16_74 <= ind_total

f_y16_74 >= 0

ind_total = m_y16_74 + f_y16_74

m_y16_74 <= ind_total

m_y16_74 >= 0

bygenderage

f_y16_24 <= f_y16_74

bygenderage

f_y16_24 <= y16_24

bygenderage

f_y16_24 >= 0

bygenderage

f_y16_74 = f_y16_24 + f_y25_54 + f_y55_74

bygenderage

f_y25_54 <= f_y16_74

bygenderage

f_y25_54 <= y25_54

bygenderage

f_y25_54 >= 0

bygenderage

f_y25_64 <= f_y16_74

bygenderage

f_y25_64 <= y25_64

bygenderage

f_y25_64 >= 0

bygenderage

f_y55_74 <= f_y16_74

bygenderage

f_y55_74 <= y55_74

bygenderage

f_y55_74 >= 0

bygenderage

m_y16_24 <= m_y16_74

bygenderage

m_y16_24 <= y16_24

bygenderage

m_y16_24 >= 0

bygenderage

m_y16_74 = m_y16_24 + m_y25_54 + m_y55_74

bygenderage

m_y25_54 <= m_y16_74

bygenderage

m_y25_54 <= y25_54

bygenderage

m_y25_54 >= 0

bygenderage

m_y25_64 <= m_y16_74

bygenderage

m_y25_64 <= y25_64

bygenderage

m_y25_64 >= 0

bygenderage

m_y55_74 <= m_y16_74

bygenderage

m_y55_74 <= y55_74

bygenderage

m_y55_74 >= 0

bygenderage

y16_24 = m_y16_24 + f_y16_24

bygenderage

y25_54 = m_y25_54 + f_y25_54

bygenderage

y25_64 = m_y25_64 + f_y25_64

bygenderage

y55_74 = m_y55_74 + f_y55_74

bygenderedu

f_i0_2 <= f_y16_74

bygenderedu

f_i0_2 <= i0_2

bygenderedu

f_i0_2 >= 0

bygenderedu

f_i3_4 <= f_y16_74

162

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

bygenderedu

f_i3_4 <= i3_4

bygenderedu

f_i3_4 >= 0

bygenderedu

f_i5_8 <= f_y16_74

bygenderedu

f_i5_8 <= i5_8

bygenderedu

f_i5_8 >= 0

bygenderedu

f_y16_74 = f_i0_2 + f_i3_4 + f_i5_8

bygenderedu

f_y16_74 >= f_i0_2 + f_i3_4 + f_i5_8

bygenderedu

i0_2 = m_i0_2 + f_i0_2

bygenderedu

i3_4 = m_i3_4 + f_i3_4

bygenderedu

i5_8 = m_i5_8 + f_i5_8

bygenderedu

m_i0_2 <= i0_2

bygenderedu

m_i0_2 <= m_y16_74

bygenderedu

m_i0_2 >= 0

bygenderedu

m_i3_4 <= i3_4

bygenderedu

m_i3_4 <= m_y16_74

bygenderedu

m_i3_4 >= 0

bygenderedu

m_i5_8 <= i5_8

bygenderedu

m_i5_8 <= m_y16_74

bygenderedu

m_i5_8 >= 0

bygenderedu

m_y16_74 = m_i0_2 + m_i3_4 + m_i5_8

bygenderedu

m_y16_74 >= m_i0_2 + m_i3_4 + m_i5_8

bynewdensity

hh_deg_int <= hh_total

bynewdensity

hh_deg_int >= 0

bynewdensity

hh_deg_prural <= hh_total

bynewdensity

hh_deg_prural >= 0

bynewdensity

hh_deg_purban <= hh_total

bynewdensity

hh_deg_purban >= 0

bynewdensity

hh_total = hh_deg_purban + hh_deg_int + hh_deg_prural

bynewdensity

hh_total >= hh_deg_purban + hh_deg_int + hh_deg_prural

bynewdensity

ind_deg_int <= ind_total

bynewdensity

ind_deg_int >= 0

bynewdensity

ind_deg_prural <= ind_total

bynewdensity

ind_deg_prural >= 0

bynewdensity

ind_deg_purban <= ind_total

bynewdensity

ind_deg_purban >= 0

bynewdensity

ind_total = ind_deg_purban + ind_deg_int + ind_deg_prural

byoccupation

isco_ict <= ind_total

byoccupation

isco_ict <= sal_self_fam

byoccupation

isco_ict >= 0

byoccupation

isco_ictx <= ind_total

byoccupation

isco_ictx <= sal_self_fam

byoccupation

isco_ictx >= 0

byoccupation

isco0_5 <= ind_total

byoccupation

isco0_5 <= sal_self_fam

163

European compilers’ manual for statistics on the use of ICT in households and by individuals Annex 2 - Validations rules

Survey

KeyName

KeyGroup

Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

byoccupation

isco0_5 >= 0

byoccupation

isco6_9 <= ind_total

byoccupation

isco6_9 <= sal_self_fam

byoccupation

isco6_9 >= 0

byoccupation

sal_self_fam = isco_ict + isco_ictx

byoccupation

sal_self_fam = isco6_9 + isco0_5

byoccupation

sal_self_fam >= isco_ict + isco_ictx

byoccupation

sal_self_fam >= isco6_9 + isco0_5

byorigin

byorigin

byorigin

byorigin

byorigin

byorigin

byorigin

byorigin

byorigin

byorigin

byrisk

byrisk

byrisk

byrisk

byrisk

byrisk

byrisk

byrisk

byrisk

byrisk

byrisk

byrisk

byrisk

byrisk

byrisk

cb_cc_eu_for <= cb_cc_for

cb_cc_eu_for <= cb_eu_for

cb_cc_eu_for <= cc_eu_for

cb_cc_eu_for >= 0

cb_cc_ext_eu <= cb_cc_for

cb_cc_ext_eu <= cb_ext_eu

cb_cc_ext_eu <= cc_ext_eu

cb_cc_ext_eu >= 0

cb_cc_for >= 0

cb_cc_for >= cb_cc_eu_for + cb_cc_ext_eu

ind_total = rf_0 + rf_ge1

ind_total >= rf_0 + rf_ge1

rf_0 <= ind_total

rf_0 >= 0

rf_3 <= ind_total

rf_3 <= rf_ge1

rf_3 <= rf_ge2

rf_3 >= 0

rf_blank <= ind_total

rf_blank >= 0

rf_ge1 <= ind_total

rf_ge1 >= 0

rf_ge2 <= ind_total

rf_ge2 <= rf_ge1

rf_ge2 >= 0

dataonyouth

16_29_i0_2 <= i0_2

dataonyouth

16_29_i0_2 <= y16_29

dataonyouth

16_29_i0_2 >= 0

dataonyouth

16_29_i3_4 <= i3_4

dataonyouth

16_29_i3_4 <= y16_29

dataonyouth

16_29_i3_4 >= 0

dataonyouth

16_29_i5_8 <= i5_8

dataonyouth

16_29_i5_8 <= y16_29

dataonyouth

16_29_i5_8 >= 0

dataonyouth

f_y16_19 <= ind_total

dataonyouth

f_y16_19 >= 0

164

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Survey

KeyName

KeyGroup

Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

dataonyouth

f_y16_24 = f_y16_19 + f_y20_24

dataonyouth

f_y16_29 <= ind_total

dataonyouth

f_y16_29 = f_y16_19 + f_y20_24 + f_y25_29

dataonyouth

f_y16_29 >= 0

dataonyouth

f_y20_24 <= ind_total

dataonyouth

f_y20_24 >= 0

dataonyouth

f_y25_29 <= ind_total

dataonyouth

f_y25_29 >= 0

dataonyouth

m_y16_19 <= ind_total

dataonyouth

m_y16_19 >= 0

dataonyouth

m_y16_24 = m_y16_19 + m_y20_24

dataonyouth

m_y16_29 <= ind_total

dataonyouth

m_y16_29 = m_y16_19 + m_y20_24 + m_y25_29

dataonyouth

m_y16_29 >= 0

dataonyouth

m_y20_24 <= ind_total

dataonyouth

m_y20_24 >= 0

dataonyouth

m_y25_29 <= ind_total

dataonyouth

m_y25_29 >= 0

dataonyouth

y16_19 <= ind_total

dataonyouth

y16_19 >= 0

dataonyouth

y16_24 = y16_19 + y20_24

dataonyouth

y16_29 <= ind_total

dataonyouth

y16_29 = 16_29_i0_2 + 16_29_i3_4 + 16_29_i5_8

dataonyouth

y16_29 = y16_19 + y20_24 + y25_29

dataonyouth

y16_29 >= 0

dataonyouth

y16_29 >= 16_29_i0_2 + 16_29_i3_4 + 16_29_i5_8

dataonyouth

y20_24 <= ind_total

dataonyouth

y20_24 >= 0

dataonyouth

y25_29 <= ind_total

dataonyouth

y25_29 >= 0

disabled

disabled

disabled

disabled

disabled

disabled

disabled

disabled

hhbyiq5

hhbyiq5

hhbyiq5

hhbyiq5

hhbyiq5

hhbyiq5

ind_total = sphs_none + sphs_ltd + sphs_sev

ind_total >= sphs_none + sphs_ltd + sphs_sev

sphs_ltd <= ind_total

sphs_ltd_sev <= ind_total

sphs_ltd_sev = sphs_ltd + sphs_sev

sphs_ltd_sev >= sphs_ltd + sphs_sev

sphs_none <= ind_total

sphs_sev <= ind_total

hh_total = hi_q5_1 + hi_q5_2 + hi_q5_3 + hi_q5_4 + hi_q5_5

hh_total >= hi_q5_1 + hi_q5_2 + hi_q5_3 + hi_q5_4 + hi_q5_5

hi_q5_1 <= hh_total

hi_q5_1 <= ind_total

hi_q5_1 >= 0

hi_q5_2 <= hh_total

165

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Survey

KeyName

KeyGroup

Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

hhbyiq5

hhbyiq5

hhbyiq5

hhbyiq5

hhbyiq5

hhbyiq5

hhbyiq5

hhbyiq5

hhbyiq5

hhbyiq5

hhbyiq5

hhbyiq5

hhbyiq5

hhbytype

hhbytype

hhbytype

hhbytype

hhbytype

hhbytype

hhbytype

hhbytype

hhbytype

hhbytype

hhbytype

hhbytype

hhbytype

hhbytype

hhbytype

hhbytype

hhbytype

hhbytype

hhbytype

hhbytype

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

166

hi_q5_2 <= ind_total

hi_q5_2 >= 0

hi_q5_3 <= hh_total

hi_q5_3 <= ind_total

hi_q5_3 >= 0

hi_q5_4 <= hh_total

hi_q5_4 <= ind_total

hi_q5_4 >= 0

hi_q5_5 <= hh_total

hi_q5_5 <= ind_total

hi_q5_5 >= 0

ind_total = hi_q5_1 + hi_q5_2 + hi_q5_3 + hi_q5_4 + hi_q5_5

ind_total >= hi_q5_1 + hi_q5_2 + hi_q5_3 + hi_q5_4 + hi_q5_5

a_ge3 <= hh_total

a_ge3 >= 0

a_ge3_dch <= hh_total

a_ge3_dch >= 0

a1 <= hh_total

a1 >= 0

a1_dch <= hh_total

a1_dch >= 0

a2 <= hh_total

a2 >= 0

a2_dch <= hh_total

a2_dch >= 0

all_dch <= hh_total

all_dch = a1_dch + a2_dch + a_ge3_dch

all_dch >= 0

all_no_dch <= hh_total

all_no_dch = a1 + a2 + a_ge3

all_no_dch >= 0

hh_total = all_no_dch + all_dch

hh_total >= all_no_dch + all_dch

hh_dev_l <= hh_total

hh_dev_l = 0

hh_dev_l = 0

hh_dev_l = 0

hh_dev_l = 0

hh_dev_l = 0

hh_dev_l = 0

hh_dev_l = 0

hh_dev_l >= 0

hh_dev_m <= hh_total

hh_dev_m = 0

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

objective1

regional

regional

regional

regional

regional

regional

regional

regional

regional

hh_dev_m = 0

hh_dev_m = 0

hh_dev_m = 0

hh_dev_m = 0

hh_dev_m >= 0

hh_dev_t <= hh_total

hh_dev_t = 0

hh_dev_t = 0

hh_dev_t = 0

hh_dev_t >= 0

hh_total = hh_dev_l + hh_dev_t + hh_dev_m

hh_total >= hh_dev_l + hh_dev_t + hh_dev_m

ind_dev_l <= ind_total

ind_dev_l = 0

ind_dev_l = 0

ind_dev_l = 0

ind_dev_l = 0

ind_dev_l = 0

ind_dev_l = 0

ind_dev_l = 0

ind_dev_l >= 0

ind_dev_m <= ind_total

ind_dev_m = 0

ind_dev_m = 0

ind_dev_m = 0

ind_dev_m = 0

ind_dev_m = 0

ind_dev_m >= 0

ind_dev_t <= ind_total

ind_dev_t = 0

ind_dev_t = 0

ind_dev_t = 0

ind_dev_t >= 0

ind_total = ind_dev_l + ind_dev_t + ind_dev_m

ind_total >= ind_dev_l + ind_dev_t + ind_dev_m

al0 <= hh_total

al0 <= ind_total

al0 = al01 + al02 + al03

al0 >= 0

al01 <= al0

al01 <= hh_total

al01 <= ind_total

al01 >= 0

al02 <= al0

167

European compilers’ manual for statistics on the use of ICT in households and by individuals Annex 2 - Validations rules

Survey

KeyName

KeyGroup

Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

al02 <= hh_total

al02 <= ind_total

al02 >= 0

al03 <= al0

al03 <= hh_total

al03 <= ind_total

al03 >= 0

at1 <= hh_total

at1 <= ind_total

at1 = at11 + at12 + at13

at1 >= 0

at11 <= at1

at11 <= hh_total

at11 <= ind_total

at11 >= 0

at12 <= at1

at12 <= hh_total

at12 <= ind_total

at12 >= 0

at13 <= at1

at13 <= hh_total

at13 <= ind_total

at13 >= 0

at2 <= hh_total

at2 <= ind_total

at2 = at21 + at22

at2 >= 0

at21 <= at2

at21 <= hh_total

at21 <= ind_total

at21 >= 0

at22 <= at2

at22 <= hh_total

at22 <= ind_total

at22 >= 0

at3 <= hh_total

at3 <= ind_total

at3 = at31 + at32 + at33 + at34

at3 >= 0

at31 <= at3

at31 <= hh_total

at31 <= ind_total

at31 >= 0

at32 <= at3

168

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

at32 <= hh_total

at32 <= ind_total

at32 >= 0

at33 <= at3

at33 <= hh_total

at33 <= ind_total

at33 >= 0

at34 <= at3

at34 <= hh_total

at34 <= ind_total

at34 >= 0

be1 <= hh_total

be1 <= ind_total

be1 = be10

be1 >= 0

be10 <= be1

be10 <= hh_total

be10 <= ind_total

be10 >= 0

be2 <= hh_total

be2 <= ind_total

be2 = be21 + be22 + be23 + be24 + be25

be2 >= 0

be21 <= be2

be21 <= hh_total

be21 <= ind_total

be21 >= 0

be22 <= be2

be22 <= hh_total

be22 <= ind_total

be22 >= 0

be23 <= be2

be23 <= hh_total

be23 <= ind_total

be23 >= 0

be24 <= be2

be24 <= hh_total

be24 <= ind_total

be24 >= 0

be25 <= be2

be25 <= hh_total

be25 <= ind_total

be25 >= 0

be3 <= hh_total

169

European compilers’ manual for statistics on the use of ICT in households and by individuals Annex 2 - Validations rules

Survey

KeyName

KeyGroup

Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

be3 <= ind_total

be3 = be31 + be32 + be33 + be34 + be35

be3 >= 0

be31 <= be3

be31 <= hh_total

be31 <= ind_total

be31 >= 0

be32 <= be3

be32 <= hh_total

be32 <= ind_total

be32 >= 0

be33 <= be3

be33 <= hh_total

be33 <= ind_total

be33 >= 0

be34 <= be3

be34 <= hh_total

be34 <= ind_total

be34 >= 0

be35 <= be3

be35 <= hh_total

be35 <= ind_total

be35 >= 0

bg3 <= hh_total

bg3 <= ind_total

bg3 = bg31 + bg32 + bg33 + bg34

bg3 >= 0

bg31 <= bg3

bg31 <= hh_total

bg31 <= ind_total

bg31 >= 0

bg32 <= bg3

bg32 <= hh_total

bg32 <= ind_total

bg32 >= 0

bg33 <= bg3

bg33 <= hh_total

bg33 <= ind_total

bg33 >= 0

bg34 <= bg3

bg34 <= hh_total

bg34 <= ind_total

bg34 >= 0

bg4 <= hh_total

170

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

bg4 <= ind_total

bg4 = bg41 + bg42

bg4 >= 0

bg41 <= bg4

bg41 <= hh_total

bg41 <= ind_total

bg41 >= 0

bg42 <= bg4

bg42 <= hh_total

bg42 <= ind_total

bg42 >= 0

ch0 <= hh_total

ch0 <= ind_total

ch0 = ch01 + ch02 + ch03 + ch04 + ch05 + ch06 + ch07

ch0 >= 0

ch01 <= ch0

ch01 <= hh_total

ch01 <= ind_total

ch01 >= 0

ch02 <= ch0

ch02 <= hh_total

ch02 <= ind_total

ch02 >= 0

ch03 <= ch0

ch03 <= hh_total

ch03 <= ind_total

ch03 >= 0

ch04 <= ch0

ch04 <= hh_total

ch04 <= ind_total

ch04 >= 0

ch05 <= ch0

ch05 <= hh_total

ch05 <= ind_total

ch05 >= 0

ch06 <= ch0

ch06 <= hh_total

ch06 <= ind_total

ch06 >= 0

ch07 <= ch0

ch07 <= hh_total

ch07 <= ind_total

ch07 >= 0

cy0 <= hh_total

171

European compilers’ manual for statistics on the use of ICT in households and by individuals Annex 2 - Validations rules

Survey

KeyName

KeyGroup

Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

172

cy0 <= ind_total

cy0 = cy00

cy0 >= 0

cy00 <= cy0

cy00 <= hh_total

cy00 <= ind_total

cy00 >= 0

cz0 <= hh_total

cz0 <= ind_total

cz0 = cz01 + cz02 + cz03 + cz04 + cz05 + cz06 + cz07 + cz08

cz0 >= 0

cz01 <= cz0

cz01 <= hh_total

cz01 <= ind_total

cz01 >= 0

cz02 <= cz0

cz02 <= hh_total

cz02 <= ind_total

cz02 >= 0

cz03 <= cz0

cz03 <= hh_total

cz03 <= ind_total

cz03 >= 0

cz04 <= cz0

cz04 <= hh_total

cz04 <= ind_total

cz04 >= 0

cz05 <= cz0

cz05 <= hh_total

cz05 <= ind_total

cz05 >= 0

cz06 <= cz0

cz06 <= hh_total

cz06 <= ind_total

cz06 >= 0

cz07 <= cz0

cz07 <= hh_total

cz07 <= ind_total

cz07 >= 0

cz08 <= cz0

cz08 <= hh_total

cz08 <= ind_total

cz08 >= 0

de1 <= hh_total

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

de1 <= ind_total

de1 = de11 + de12 + de13 + de14

de1 >= 0

de11 <= de1

de11 <= hh_total

de11 <= ind_total

de11 >= 0

de12 <= de1

de12 <= hh_total

de12 <= ind_total

de12 >= 0

de13 <= de1

de13 <= hh_total

de13 <= ind_total

de13 >= 0

de14 <= de1

de14 <= hh_total

de14 <= ind_total

de14 >= 0

de2 <= hh_total

de2 <= ind_total

de2 = de21 + de22 + de23 + de24 + de25 + de26 + de27

de2 >= 0

de21 <= de2

de21 <= hh_total

de21 <= ind_total

de21 >= 0

de22 <= de2

de22 <= hh_total

de22 <= ind_total

de22 >= 0

de23 <= de2

de23 <= hh_total

de23 <= ind_total

de23 >= 0

de24 <= de2

de24 <= hh_total

de24 <= ind_total

de24 >= 0

de25 <= de2

de25 <= hh_total

de25 <= ind_total

de25 >= 0

de26 <= de2

173

European compilers’ manual for statistics on the use of ICT in households and by individuals Annex 2 - Validations rules

Survey

KeyName

KeyGroup

Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

de26 <= hh_total

de26 <= ind_total

de26 >= 0

de27 <= de2

de27 <= hh_total

de27 <= ind_total

de27 >= 0

de3 <= hh_total

de3 <= ind_total

de3 = de30

de3 >= 0

de30 <= de3

de30 <= hh_total

de30 <= ind_total

de30 >= 0

de4 <= hh_total

de4 <= ind_total

de4 = de40

de4 >= 0

de40 <= de4

de40 <= hh_total

de40 <= ind_total

de40 >= 0

de5 <= hh_total

de5 <= ind_total

de5 = de50

de5 >= 0

de50 <= de5

de50 <= hh_total

de50 <= ind_total

de50 >= 0

de6 <= hh_total

de6 <= ind_total

de6 = de60

de6 >= 0

de60 <= de6

de60 <= hh_total

de60 <= ind_total

de60 >= 0

de7 <= hh_total

de7 <= ind_total

de7 = de71 + de72 + de73

de7 >= 0

de71 <= de7

174

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

de71 <= hh_total

de71 <= ind_total

de71 >= 0

de72 <= de7

de72 <= hh_total

de72 <= ind_total

de72 >= 0

de73 <= de7

de73 <= hh_total

de73 <= ind_total

de73 >= 0

de8 <= hh_total

de8 <= ind_total

de8 = de80

de8 >= 0

de80 <= de8

de80 <= hh_total

de80 <= ind_total

de80 >= 0

de9 <= hh_total

de9 <= ind_total

de9 = de91 + de92 + de93 + de94

de9 >= 0

de91 <= de9

de91 <= hh_total

de91 <= ind_total

de91 >= 0

de92 <= de9

de92 <= hh_total

de92 <= ind_total

de92 >= 0

de93 <= de9

de93 <= hh_total

de93 <= ind_total

de93 >= 0

de94 <= de9

de94 <= hh_total

de94 <= ind_total

de94 >= 0

dea <= hh_total

dea <= ind_total

dea = dea1 + dea2 + dea3 + dea4 + dea5

dea >= 0

dea1 <= dea

175

European compilers’ manual for statistics on the use of ICT in households and by individuals Annex 2 - Validations rules

Survey

KeyName

KeyGroup

Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

dea1 <= hh_total

dea1 <= ind_total

dea1 >= 0

dea2 <= dea

dea2 <= hh_total

dea2 <= ind_total

dea2 >= 0

dea3 <= dea

dea3 <= hh_total

dea3 <= ind_total

dea3 >= 0

dea4 <= dea

dea4 <= hh_total

dea4 <= ind_total

dea4 >= 0

dea5 <= dea

dea5 <= hh_total

dea5 <= ind_total

dea5 >= 0

deb <= hh_total

deb <= ind_total

deb = deb1 + deb2 + deb3

deb >= 0

deb1 <= deb

deb1 <= hh_total

deb1 <= ind_total

deb1 >= 0

deb2 <= deb

deb2 <= hh_total

deb2 <= ind_total

deb2 >= 0

deb3 <= deb

deb3 <= hh_total

deb3 <= ind_total

deb3 >= 0

dec <= hh_total

dec <= ind_total

dec = dec0

dec >= 0

dec0 <= dec

dec0 <= hh_total

dec0 <= ind_total

dec0 >= 0

ded <= hh_total

176

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

ded <= ind_total

ded = ded2 + ded4 + ded5

ded >= 0

ded2 <= ded

ded2 <= hh_total

ded2 <= ind_total

ded2 >= 0

ded4 <= ded

ded4 <= hh_total

ded4 <= ind_total

ded4 >= 0

ded5 <= ded

ded5 <= hh_total

ded5 <= ind_total

ded5 >= 0

dee <= hh_total

dee <= ind_total

dee = dee0

dee >= 0

dee0 <= dee

dee0 <= hh_total

dee0 <= ind_total

dee0 >= 0

def <= hh_total

def <= ind_total

def = def0

def >= 0

def0 <= def

def0 <= hh_total

def0 <= ind_total

def0 >= 0

deg <= hh_total

deg <= ind_total

deg = deg0

deg >= 0

deg0 <= deg

deg0 <= hh_total

deg0 <= ind_total

deg0 >= 0

dk0 <= hh_total

dk0 <= ind_total

dk0 = dk01 + dk02 + dk03 + dk04 + dk05

dk0 >= 0

dk01 <= dk0

177

European compilers’ manual for statistics on the use of ICT in households and by individuals Annex 2 - Validations rules

Survey

KeyName

KeyGroup

Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

dk01 <= hh_total

dk01 <= ind_total

dk01 >= 0

dk02 <= dk0

dk02 <= hh_total

dk02 <= ind_total

dk02 >= 0

dk03 <= dk0

dk03 <= hh_total

dk03 <= ind_total

dk03 >= 0

dk04 <= dk0

dk04 <= hh_total

dk04 <= ind_total

dk04 >= 0

dk05 <= dk0

dk05 <= hh_total

dk05 <= ind_total

dk05 >= 0

ee0 <= hh_total

ee0 <= ind_total

ee0 = ee00

ee0 >= 0

ee00 <= ee0

ee00 <= hh_total

ee00 <= ind_total

ee00 >= 0

el3 <= hh_total

el3 <= ind_total

el3 = el30

el3 >= 0

el30 <= el3

el30 <= hh_total

el30 <= ind_total

el30 >= 0

el4 <= hh_total

el4 <= ind_total

el4 = el41 + el42 + el43

el4 >= 0

el41 <= el4

el41 <= hh_total

el41 <= ind_total

el41 >= 0

el42 <= el4

178

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

el42 <= hh_total

el42 <= ind_total

el42 >= 0

el43 <= el4

el43 <= hh_total

el43 <= ind_total

el43 >= 0

el5 <= hh_total

el5 <= ind_total

el5 = el51 + el52 + el53 + el54

el5 >= 0

el51 <= el5

el51 <= hh_total

el51 <= ind_total

el51 >= 0

el52 <= el5

el52 <= hh_total

el52 <= ind_total

el52 >= 0

el53 <= el5

el53 <= hh_total

el53 <= ind_total

el53 >= 0

el54 <= el5

el54 <= hh_total

el54 <= ind_total

el54 >= 0

el6 <= hh_total

el6 <= ind_total

el6 = el61 + el62 + el63 + el64 + el65

el6 >= 0

el61 <= el6

el61 <= hh_total

el61 <= ind_total

el61 >= 0

el62 <= el6

el62 <= hh_total

el62 <= ind_total

el62 >= 0

el63 <= el6

el63 <= hh_total

el63 <= ind_total

el63 >= 0

el64 <= el6

179

European compilers’ manual for statistics on the use of ICT in households and by individuals Annex 2 - Validations rules

Survey

KeyName

KeyGroup

Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

el64 <= hh_total

el64 <= ind_total

el64 >= 0

el65 <= el6

el65 <= hh_total

el65 <= ind_total

el65 >= 0

es1 <= hh_total

es1 <= ind_total

es1 = es11 + es12 + es13

es1 >= 0

es11 <= es1

es11 <= hh_total

es11 <= ind_total

es11 >= 0

es12 <= es1

es12 <= hh_total

es12 <= ind_total

es12 >= 0

es13 <= es1

es13 <= hh_total

es13 <= ind_total

es13 >= 0

es2 <= hh_total

es2 <= ind_total

es2 = es21 + es22 + es23 + es24

es2 >= 0

es21 <= es2

es21 <= hh_total

es21 <= ind_total

es21 >= 0

es22 <= es2

es22 <= hh_total

es22 <= ind_total

es22 >= 0

es23 <= es2

es23 <= hh_total

es23 <= ind_total

es23 >= 0

es24 <= es2

es24 <= hh_total

es24 <= ind_total

es24 >= 0

es3 <= hh_total

180

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

es3 <= ind_total

es3 = es30

es3 >= 0

es30 <= es3

es30 <= hh_total

es30 <= ind_total

es30 >= 0

es4 <= hh_total

es4 <= ind_total

es4 = es41 + es42 + es43

es4 >= 0

es41 <= es4

es41 <= hh_total

es41 <= ind_total

es41 >= 0

es42 <= es4

es42 <= hh_total

es42 <= ind_total

es42 >= 0

es43 <= es4

es43 <= hh_total

es43 <= ind_total

es43 >= 0

es5 <= hh_total

es5 <= ind_total

es5 = es51 + es52 + es53

es5 >= 0

es51 <= es5

es51 <= hh_total

es51 <= ind_total

es51 >= 0

es52 <= es5

es52 <= hh_total

es52 <= ind_total

es52 >= 0

es53 <= es5

es53 <= hh_total

es53 <= ind_total

es53 >= 0

es6 <= hh_total

es6 <= ind_total

es6 = es61 + es62 + es63 + es64

es6 >= 0

es61 <= es6

181

European compilers’ manual for statistics on the use of ICT in households and by individuals Annex 2 - Validations rules

Survey

KeyName

KeyGroup

Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

es61 <= hh_total

es61 <= ind_total

es61 >= 0

es62 <= es6

es62 <= hh_total

es62 <= ind_total

es62 >= 0

es63 <= es6

es63 <= hh_total

es63 <= ind_total

es63 >= 0

es64 <= es6

es64 <= hh_total

es64 <= ind_total

es64 >= 0

es7 <= hh_total

es7 <= ind_total

es7 = es70

es7 >= 0

es70 <= es7

es70 <= hh_total

es70 <= ind_total

es70 >= 0

fi1 <= hh_total

fi1 <= ind_total

fi1 = fi19 + fi1b + fi1c + fi1d

fi1 >= 0

fi19 <= fi1

fi19 <= hh_total

fi19 <= ind_total

fi19 >= 0

fi1b <= fi1

fi1b <= hh_total

fi1b <= ind_total

fi1b >= 0

fi1c <= fi1

fi1c <= hh_total

fi1c <= ind_total

fi1c >= 0

fi1d <= fi1

fi1d <= hh_total

fi1d <= ind_total

fi1d >= 0

fi2 <= hh_total

182

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

fi2 <= ind_total

fi2 = fi20

fi2 >= 0

fi20 <= fi2

fi20 <= hh_total

fi20 <= ind_total

fi20 >= 0

fr1 <= hh_total

fr1 <= ind_total

fr1 = fr10

fr1 >= 0

fr10 <= fr1

fr10 <= hh_total

fr10 <= ind_total

fr10 >= 0

frb <= hh_total

frb <= ind_total

frb = frb0

frb >= 0

frb0 <= frb

frb0 <= hh_total

frb0 <= ind_total

frb0 >= 0

frc <= hh_total

frc <= ind_total

frc = frc1 + frc2

frc >= 0

frc1 <= frc

frc1 <= hh_total

frc1 <= ind_total

frc1 >= 0

frc2 <= frc

frc2 <= hh_total

frc2 <= ind_total

frc2 >= 0

frd <= hh_total

frd <= ind_total

frd = frd1 + frd2

frd >= 0

frd1 <= frd

frd1 <= hh_total

frd1 <= ind_total

frd1 >= 0

frd2 <= frd

183

European compilers’ manual for statistics on the use of ICT in households and by individuals Annex 2 - Validations rules

Survey

KeyName

KeyGroup

Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

frd2 <= hh_total

frd2 <= ind_total

frd2 >= 0

fre <= hh_total

fre <= ind_total

fre = fre1 + fre2

fre >= 0

fre1 <= fre

fre1 <= hh_total

fre1 <= ind_total

fre1 >= 0

fre2 <= fre

fre2 <= hh_total

fre2 <= ind_total

fre2 >= 0

frf <= hh_total

frf <= ind_total

frf = frf1 + frf2 + frf3

frf >= 0

frf1 <= frf

frf1 <= hh_total

frf1 <= ind_total

frf1 >= 0

frf2 <= frf

frf2 <= hh_total

frf2 <= ind_total

frf2 >= 0

frf3 <= frf

frf3 <= hh_total

frf3 <= ind_total

frf3 >= 0

frg <= hh_total

frg <= ind_total

frg = frg0

frg >= 0

frg0 <= frg

frg0 <= hh_total

frg0 <= ind_total

frg0 >= 0

frh <= hh_total

frh <= ind_total

frh = frh0

frh >= 0

frh0 <= frh

184

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

frh0 <= hh_total

frh0 <= ind_total

frh0 >= 0

fri <= hh_total

fri <= ind_total

fri = fri1 + fri2 + fri3

fri >= 0

fri1 <= fri

fri1 <= hh_total

fri1 <= ind_total

fri1 >= 0

fri2 <= fri

fri2 <= hh_total

fri2 <= ind_total

fri2 >= 0

fri3 <= fri

fri3 <= hh_total

fri3 <= ind_total

fri3 >= 0

frj <= hh_total

frj <= ind_total

frj = frj1 + frj2

frj >= 0

frj1 <= frj

frj1 <= hh_total

frj1 <= ind_total

frj1 >= 0

frj2 <= frj

frj2 <= hh_total

frj2 <= ind_total

frj2 >= 0

frk <= hh_total

frk <= ind_total

frk = frk1 + frk2

frk >= 0

frk1 <= frk

frk1 <= hh_total

frk1 <= ind_total

frk1 >= 0

frk2 <= frk

frk2 <= hh_total

frk2 <= ind_total

frk2 >= 0

frl <= hh_total

185

European compilers’ manual for statistics on the use of ICT in households and by individuals Annex 2 - Validations rules

Survey

KeyName

KeyGroup

Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

frl <= ind_total

frl = frl0

frl >= 0

frl0 <= frl

frl0 <= hh_total

frl0 <= ind_total

frl0 >= 0

frm <= hh_total

frm <= ind_total

frm = frm0

frm >= 0

frm0 <= frm

frm0 <= hh_total

frm0 <= ind_total

frm0 >= 0

fry <= hh_total

fry <= ind_total

fry = fry1 + fry2 + fry3 + fry4 + fry5

fry >= 0

fry1 <= fry

fry1 <= hh_total

fry1 <= ind_total

fry1 >= 0

fry2 <= fry

fry2 <= hh_total

fry2 <= ind_total

fry2 >= 0

fry3 <= fry

fry3 <= hh_total

fry3 <= ind_total

fry3 >= 0

fry4 <= fry

fry4 <= hh_total

fry4 <= ind_total

fry4 >= 0

fry5 <= fry

fry5 <= hh_total

fry5 <= ind_total

fry5 >= 0

hh_total = al0

hh_total = at1 + at2 + at3

hh_total = be1 + be2 + be3

hh_total = bg3 + bg4

hh_total = ch0

186

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

hh_total = cy0

hh_total = cz0

hh_total = de1 + de2 + de3 + de4 + de5 + de6 + de7 + de8 + de9 + dea + deb + 
dec + ded + dee + def + deg

hh_total = dk0

hh_total = ee0

hh_total = el3 + el4 + el5 + el6

hh_total = es1 + es2 + es3 + es4 + es5 + es6 + es7

hh_total = fi1 + fi2

hh_total = fr1 + frb + frc + frd + fre + frf + frg + frh + fri + frj + frk + frl + frm + fry

hh_total = hr0

hh_total = hu1 + hu2 + hu3

hh_total = ie0

hh_total = is0

hh_total = itc + itf + itg + ith + iti

hh_total = li0

hh_total = lt0

hh_total = lu0

hh_total = lv0

hh_total = me0

hh_total = mk0

hh_total = mt0

hh_total = nl1 + nl2 + nl3 + nl4

hh_total = no0

hh_total = pl2 + pl4 + pl5 + pl6 + pl7 + pl8 + pl9

hh_total = pt1 + pt2 + pt3

hh_total = ro1 + ro2 + ro3 + ro4

hh_total = rs1 + rs2

hh_total = se1 + se2 + se3

hh_total = si0

hh_total = sk0

hh_total = tr1 + tr2 + tr3 + tr4 + tr5 + tr6 + tr7 + tr8 + tr9 + tra + trb + trc

hh_total = ukc + ukd + uke + ukf + ukg + ukh + uki + ukj + ukk + ukl + ukm + ukn

hr0 <= hh_total

hr0 <= ind_total

hr0 = hr02 + hr03 + hr05 + hr06

hr0 >= 0

hr02 <= hh_total

hr02 <= hr0

hr02 <= ind_total

hr02 >= 0

hr03 <= hh_total

hr03 <= hr0

hr03 <= ind_total

187

European compilers’ manual for statistics on the use of ICT in households and by individuals Annex 2 - Validations rules

Survey

KeyName

KeyGroup

Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

hr03 >= 0

hr05 <= hh_total

hr05 <= hr0

hr05 <= ind_total

hr05 >= 0

hr06 <= hh_total

hr06 <= hr0

hr06 <= ind_total

hr06 >= 0

hu1 <= hh_total

hu1 <= ind_total

hu1 = hu11 + hu12

hu1 >= 0

hu11 <= hh_total

hu11 <= hu1

hu11 <= ind_total

hu11 >= 0

hu12 <= hh_total

hu12 <= hu1

hu12 <= ind_total

hu12 >= 0

hu2 <= hh_total

hu2 <= ind_total

hu2 = hu21 + hu22 + hu23

hu2 >= 0

hu21 <= hh_total

hu21 <= hu2

hu21 <= ind_total

hu21 >= 0

hu22 <= hh_total

hu22 <= hu2

hu22 <= ind_total

hu22 >= 0

hu23 <= hh_total

hu23 <= hu2

hu23 <= ind_total

hu23 >= 0

hu3 <= hh_total

hu3 <= ind_total

hu3 = hu31 + hu32 + hu33

hu3 >= 0

hu31 <= hh_total

hu31 <= hu3

hu31 <= ind_total

188

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

hu31 >= 0

hu32 <= hh_total

hu32 <= hu3

hu32 <= ind_total

hu32 >= 0

hu33 <= hh_total

hu33 <= hu3

hu33 <= ind_total

hu33 >= 0

ie0 <= hh_total

ie0 <= ind_total

ie0 = ie04 + ie05 + ie06

ie0 >= 0

ie04 <= hh_total

ie04 <= ie0

ie04 <= ind_total

ie04 >= 0

ie05 <= hh_total

ie05 <= ie0

ie05 <= ind_total

ie05 >= 0

ie06 <= hh_total

ie06 <= ie0

ie06 <= ind_total

ie06 >= 0

ind_total = al0

ind_total = at1 + at2 + at3

ind_total = be1 + be2 + be3

ind_total = bg3 + bg4

ind_total = ch0

ind_total = cy0

ind_total = cz0

ind_total = de1 + de2 + de3 + de4 + de5 + de6 + de7 + de8 + de9 + dea + deb + 
dec + ded + dee + def + deg

ind_total = dk0

ind_total = ee0

ind_total = el3 + el4 + el5 + el6

ind_total = es1 + es2 + es3 + es4 + es5 + es6 + es7

ind_total = fi1 + fi2

ind_total = fr1 + frb + frc + frd + fre + frf + frg + frh + fri + frj + frk + frl + frm + fry

ind_total = hr0

ind_total = hu1 + hu2 + hu3

ind_total = ie0

ind_total = is0

189

European compilers’ manual for statistics on the use of ICT in households and by individuals Annex 2 - Validations rules

Survey

KeyName

KeyGroup

Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

190

ind_total = itc + itf + itg + ith + iti

ind_total = li0

ind_total = lt0

ind_total = lu0

ind_total = lv0

ind_total = me0

ind_total = mk0

ind_total = mt0

ind_total = nl1 + nl2 + nl3 + nl4

ind_total = no0

ind_total = pl2 + pl4 + pl5 + pl6 + pl7 + pl8 + pl9

ind_total = pt1 + pt2 + pt3

ind_total = ro1 + ro2 + ro3 + ro4

ind_total = rs1 + rs2

ind_total = se1 + se2 + se3

ind_total = si0

ind_total = sk0

ind_total = tr1 + tr2 + tr3 + tr4 + tr5 + tr6 + tr7 + tr8 + tr9 + tra + trb + trc

ind_total = ukc + ukd + uke + ukf + ukg + ukh + uki + ukj + ukk + ukl + ukm + ukn

is0 <= hh_total

is0 <= ind_total

is0 = is00

is0 >= 0

is00 <= hh_total

is00 <= ind_total

is00 <= is0

is00 >= 0

itc <= hh_total

itc <= ind_total

itc = itc1 + itc2 + itc3 + itc4

itc >= 0

itc1 <= hh_total

itc1 <= ind_total

itc1 <= itc

itc1 >= 0

itc2 <= hh_total

itc2 <= ind_total

itc2 <= itc

itc2 >= 0

itc3 <= hh_total

itc3 <= ind_total

itc3 <= itc

itc3 >= 0

itc4 <= hh_total

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

itc4 <= ind_total

itc4 <= itc

itc4 >= 0

itf <= hh_total

itf <= ind_total

itf = itf1 + itf2 + itf3 + itf4 + itf5 + itf6

itf >= 0

itf1 <= hh_total

itf1 <= ind_total

itf1 <= itf

itf1 >= 0

itf2 <= hh_total

itf2 <= ind_total

itf2 <= itf

itf2 >= 0

itf3 <= hh_total

itf3 <= ind_total

itf3 <= itf

itf3 >= 0

itf4 <= hh_total

itf4 <= ind_total

itf4 <= itf

itf4 >= 0

itf5 <= hh_total

itf5 <= ind_total

itf5 <= itf

itf5 >= 0

itf6 <= hh_total

itf6 <= ind_total

itf6 <= itf

itf6 >= 0

itg <= hh_total

itg <= ind_total

itg = itg1 + itg2

itg >= 0

itg1 <= hh_total

itg1 <= ind_total

itg1 <= itg

itg1 >= 0

itg2 <= hh_total

itg2 <= ind_total

itg2 <= itg

itg2 >= 0

ith <= hh_total

191

European compilers’ manual for statistics on the use of ICT in households and by individuals Annex 2 - Validations rules

Survey

KeyName

KeyGroup

Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

ith <= ind_total

ith = ith1 + ith2 + ith3 + ith4 + ith5

ith >= 0

ith1 <= hh_total

ith1 <= ind_total

ith1 <= ith

ith1 >= 0

ith2 <= hh_total

ith2 <= ind_total

ith2 <= ith

ith2 >= 0

ith3 <= hh_total

ith3 <= ind_total

ith3 <= ith

ith3 >= 0

ith4 <= hh_total

ith4 <= ind_total

ith4 <= ith

ith4 >= 0

ith5 <= hh_total

ith5 <= ind_total

ith5 <= ith

ith5 >= 0

iti <= hh_total

iti <= ind_total

iti = iti1 + iti2 + iti3 + iti4

iti >= 0

iti1 <= hh_total

iti1 <= ind_total

iti1 <= iti

iti1 >= 0

iti2 <= hh_total

iti2 <= ind_total

iti2 <= iti

iti2 >= 0

iti3 <= hh_total

iti3 <= ind_total

iti3 <= iti

iti3 >= 0

iti4 <= hh_total

iti4 <= ind_total

iti4 <= iti

iti4 >= 0

li0 <= hh_total

192

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

li0 <= ind_total

li0 = li00

li0 >= 0

li00 <= hh_total

li00 <= ind_total

li00 <= li0

li00 >= 0

lt0 <= hh_total

lt0 <= ind_total

lt0 = lt01 + lt02

lt0 >= 0

lt01 <= hh_total

lt01 <= ind_total

lt01 <= lt0

lt01 >= 0

lt02 <= hh_total

lt02 <= ind_total

lt02 <= lt0

lt02 >= 0

lu0 <= hh_total

lu0 <= ind_total

lu0 = lu00

lu0 >= 0

lu00 <= hh_total

lu00 <= ind_total

lu00 <= lu0

lu00 >= 0

lv0 <= hh_total

lv0 <= ind_total

lv0 = lv00

lv0 >= 0

lv00 <= hh_total

lv00 <= ind_total

lv00 <= lv0

lv00 >= 0

me0 <= hh_total

me0 <= ind_total

me0 = me00

me0 >= 0

me00 <= hh_total

me00 <= ind_total

me00 <= me0

me00 >= 0

mk0 <= hh_total

193

European compilers’ manual for statistics on the use of ICT in households and by individuals Annex 2 - Validations rules

Survey

KeyName

KeyGroup

Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

mk0 <= ind_total

mk0 = mk00

mk0 >= 0

mk00 <= hh_total

mk00 <= ind_total

mk00 <= mk0

mk00 >= 0

mt0 <= hh_total

mt0 <= ind_total

mt0 = mt00

mt0 >= 0

mt00 <= hh_total

mt00 <= ind_total

mt00 <= mt0

mt00 >= 0

nl1 <= hh_total

nl1 <= ind_total

nl1 = nl11 + nl12 + nl13

nl1 >= 0

nl11 <= hh_total

nl11 <= ind_total

nl11 <= nl1

nl11 >= 0

nl12 <= hh_total

nl12 <= ind_total

nl12 <= nl1

nl12 >= 0

nl13 <= hh_total

nl13 <= ind_total

nl13 <= nl1

nl13 >= 0

nl2 <= hh_total

nl2 <= ind_total

nl2 = nl21 + nl22 + nl23

nl2 >= 0

nl21 <= hh_total

nl21 <= ind_total

nl21 <= nl2

nl21 >= 0

nl22 <= hh_total

nl22 <= ind_total

nl22 <= nl2

nl22 >= 0

nl23 <= hh_total

194

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

nl23 <= ind_total

nl23 <= nl2

nl23 >= 0

nl3 <= hh_total

nl3 <= ind_total

nl3 = nl31 + nl32 + nl33 + nl34

nl3 >= 0

nl31 <= hh_total

nl31 <= ind_total

nl31 <= nl3

nl31 >= 0

nl32 <= hh_total

nl32 <= ind_total

nl32 <= nl3

nl32 >= 0

nl33 <= hh_total

nl33 <= ind_total

nl33 <= nl3

nl33 >= 0

nl34 <= hh_total

nl34 <= ind_total

nl34 <= nl3

nl34 >= 0

nl4 <= hh_total

nl4 <= ind_total

nl4 = nl41 + nl42

nl4 >= 0

nl41 <= hh_total

nl41 <= ind_total

nl41 <= nl4

nl41 >= 0

nl42 <= hh_total

nl42 <= ind_total

nl42 <= nl4

nl42 >= 0

no0 <= hh_total

no0 <= ind_total

no0 = no02 + no06 + no07 + no08 + no09 + no0a + no0b

no0 >= 0

no02 <= hh_total

no02 <= ind_total

no02 <= no0

no02 >= 0

no06 <= hh_total

195

European compilers’ manual for statistics on the use of ICT in households and by individuals Annex 2 - Validations rules

Survey

KeyName

KeyGroup

Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

no06 <= ind_total

no06 <= no0

no06 >= 0

no07 <= hh_total

no07 <= ind_total

no07 <= no0

no07 >= 0

no08 <= hh_total

no08 <= ind_total

no08 <= no0

no08 >= 0

no09 <= hh_total

no09 <= ind_total

no09 <= no0

no09 >= 0

no0a <= hh_total

no0a <= ind_total

no0a <= no0

no0a >= 0

no0b <= hh_total

no0b <= ind_total

no0b <= no0

no0b >= 0

pl2 <= hh_total

pl2 <= ind_total

pl2 = pl21 + pl22

pl2 >= 0

pl21 <= hh_total

pl21 <= ind_total

pl21 <= pl2

pl21 >= 0

pl22 <= hh_total

pl22 <= ind_total

pl22 <= pl2

pl22 >= 0

pl4 <= hh_total

pl4 <= ind_total

pl4 = pl41 + pl42 + pl43

pl4 >= 0

pl41 <= hh_total

pl41 <= ind_total

pl41 <= pl4

pl41 >= 0

pl42 <= hh_total

196

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

pl42 <= ind_total

pl42 <= pl4

pl42 >= 0

pl43 <= hh_total

pl43 <= ind_total

pl43 <= pl4

pl43 >= 0

pl5 <= hh_total

pl5 <= ind_total

pl5 = pl51 + pl52

pl5 >= 0

pl51 <= hh_total

pl51 <= ind_total

pl51 <= pl5

pl51 >= 0

pl52 <= hh_total

pl52 <= ind_total

pl52 <= pl5

pl52 >= 0

pl6 <= hh_total

pl6 <= ind_total

pl6 = pl61 + pl62 + pl63

pl6 >= 0

pl61 <= hh_total

pl61 <= ind_total

pl61 <= pl6

pl61 >= 0

pl62 <= hh_total

pl62 <= ind_total

pl62 <= pl6

pl62 >= 0

pl63 <= hh_total

pl63 <= ind_total

pl63 <= pl6

pl63 >= 0

pl7 <= hh_total

pl7 <= ind_total

pl7 = pl71 + pl72

pl7 >= 0

pl71 <= hh_total

pl71 <= ind_total

pl71 <= pl7

pl71 >= 0

pl72 <= hh_total

197

European compilers’ manual for statistics on the use of ICT in households and by individuals Annex 2 - Validations rules

Survey

KeyName

KeyGroup

Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

pl72 <= ind_total

pl72 <= pl7

pl72 >= 0

pl8 <= hh_total

pl8 <= ind_total

pl8 = pl81 + pl82 + pl84

pl8 >= 0

pl81 <= hh_total

pl81 <= ind_total

pl81 <= pl8

pl81 >= 0

pl82 <= hh_total

pl82 <= ind_total

pl82 <= pl8

pl82 >= 0

pl84 <= hh_total

pl84 <= ind_total

pl84 <= pl8

pl84 >= 0

pl9 <= hh_total

pl9 <= ind_total

pl9 = pl91 + pl92

pl9 >= 0

pl91 <= hh_total

pl91 <= ind_total

pl91 <= pl9

pl91 >= 0

pl92 <= hh_total

pl92 <= ind_total

pl92 <= pl9

pl92 >= 0

pt1 <= hh_total

pt1 <= ind_total

pt1 = pt11 + pt15 + pt16 + pt17 + pt18

pt1 >= 0

pt11 <= hh_total

pt11 <= ind_total

pt11 <= pt1

pt11 >= 0

pt15 <= hh_total

pt15 <= ind_total

pt15 <= pt1

pt15 >= 0

pt16 <= hh_total

198

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

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BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

pt16 <= ind_total

pt16 <= pt1

pt16 >= 0

pt17 <= hh_total

pt17 <= ind_total

pt17 <= pt1

pt17 >= 0

pt18 <= hh_total

pt18 <= ind_total

pt18 <= pt1

pt18 >= 0

pt2 <= hh_total

pt2 <= ind_total

pt2 = pt20

pt2 >= 0

pt20 <= hh_total

pt20 <= ind_total

pt20 <= pt2

pt20 >= 0

pt3 <= hh_total

pt3 <= ind_total

pt3 = pt30

pt3 >= 0

pt30 <= hh_total

pt30 <= ind_total

pt30 <= pt3

pt30 >= 0

ro1 <= hh_total

ro1 <= ind_total

ro1 = ro11 + ro12

ro1 >= 0

ro11 <= hh_total

ro11 <= ind_total

ro11 <= ro1

ro11 >= 0

ro12 <= hh_total

ro12 <= ind_total

ro12 <= ro1

ro12 >= 0

ro2 <= hh_total

ro2 <= ind_total

ro2 = ro21 + ro22

ro2 >= 0

ro21 <= hh_total

199

European compilers’ manual for statistics on the use of ICT in households and by individuals Annex 2 - Validations rules

Survey

KeyName

KeyGroup

Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

ro21 <= ind_total

ro21 <= ro2

ro21 >= 0

ro22 <= hh_total

ro22 <= ind_total

ro22 <= ro2

ro22 >= 0

ro3 <= hh_total

ro3 <= ind_total

ro3 = ro31 + ro32

ro3 >= 0

ro31 <= hh_total

ro31 <= ind_total

ro31 <= ro3

ro31 >= 0

ro32 <= hh_total

ro32 <= ind_total

ro32 <= ro3

ro32 >= 0

ro4 <= hh_total

ro4 <= ind_total

ro4 = ro41 + ro42

ro4 >= 0

ro41 <= hh_total

ro41 <= ind_total

ro41 <= ro4

ro41 >= 0

ro42 <= hh_total

ro42 <= ind_total

ro42 <= ro4

ro42 >= 0

rs1 <= hh_total

rs1 <= ind_total

rs1 = rs11 + rs12

rs1 >= 0

rs11 <= hh_total

rs11 <= ind_total

rs11 <= rs1

rs11 >= 0

rs12 <= hh_total

rs12 <= ind_total

rs12 <= rs1

rs12 >= 0

rs2 <= hh_total

200

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

rs2 <= ind_total

rs2 = rs21 + rs22

rs2 >= 0

rs21 <= hh_total

rs21 <= ind_total

rs21 <= rs2

rs21 >= 0

rs22 <= hh_total

rs22 <= ind_total

rs22 <= rs2

rs22 >= 0

se1 <= hh_total

se1 <= ind_total

se1 = se11 + se12

se1 >= 0

se11 <= hh_total

se11 <= ind_total

se11 <= se1

se11 >= 0

se12 <= hh_total

se12 <= ind_total

se12 <= se1

se12 >= 0

se2 <= hh_total

se2 <= ind_total

se2 = se21 + se22 + se23

se2 >= 0

se21 <= hh_total

se21 <= ind_total

se21 <= se2

se21 >= 0

se22 <= hh_total

se22 <= ind_total

se22 <= se2

se22 >= 0

se23 <= hh_total

se23 <= ind_total

se23 <= se2

se23 >= 0

se3 <= hh_total

se3 <= ind_total

se3 = se31 + se32 + se33

se3 >= 0

se31 <= hh_total

201

European compilers’ manual for statistics on the use of ICT in households and by individuals Annex 2 - Validations rules

Survey

KeyName

KeyGroup

Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

se31 <= ind_total

se31 <= se3

se31 >= 0

se32 <= hh_total

se32 <= ind_total

se32 <= se3

se32 >= 0

se33 <= hh_total

se33 <= ind_total

se33 <= se3

se33 >= 0

si0 <= hh_total

si0 <= ind_total

si0 = si03 + si04

si0 >= 0

si03 <= hh_total

si03 <= ind_total

si03 <= si0

si03 >= 0

si04 <= hh_total

si04 <= ind_total

si04 <= si0

si04 >= 0

sk0 <= hh_total

sk0 <= ind_total

sk0 = sk01 + sk02 + sk03 + sk04

sk0 >= 0

sk01 <= hh_total

sk01 <= ind_total

sk01 <= sk0

sk01 >= 0

sk02 <= hh_total

sk02 <= ind_total

sk02 <= sk0

sk02 >= 0

sk03 <= hh_total

sk03 <= ind_total

sk03 <= sk0

sk03 >= 0

sk04 <= hh_total

sk04 <= ind_total

sk04 <= sk0

sk04 >= 0

tr1 <= hh_total

202

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

tr1 <= ind_total

tr1 = tr10

tr1 >= 0

tr10 <= hh_total

tr10 <= ind_total

tr10 <= tr1

tr10 >= 0

tr2 <= hh_total

tr2 <= ind_total

tr2 = tr21 + tr22

tr2 >= 0

tr21 <= hh_total

tr21 <= ind_total

tr21 <= tr2

tr21 >= 0

tr22 <= hh_total

tr22 <= ind_total

tr22 <= tr2

tr22 >= 0

tr3 <= hh_total

tr3 <= ind_total

tr3 = tr31 + tr32 + tr33

tr3 >= 0

tr31 <= hh_total

tr31 <= ind_total

tr31 <= tr3

tr31 >= 0

tr32 <= hh_total

tr32 <= ind_total

tr32 <= tr3

tr32 >= 0

tr33 <= hh_total

tr33 <= ind_total

tr33 <= tr3

tr33 >= 0

tr4 <= hh_total

tr4 <= ind_total

tr4 = tr41 + tr42

tr4 >= 0

tr41 <= hh_total

tr41 <= ind_total

tr41 <= tr4

tr41 >= 0

tr42 <= hh_total

203

European compilers’ manual for statistics on the use of ICT in households and by individuals Annex 2 - Validations rules

Survey

KeyName

KeyGroup

Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

tr42 <= ind_total

tr42 <= tr4

tr42 >= 0

tr5 <= hh_total

tr5 <= ind_total

tr5 = tr51 + tr52

tr5 >= 0

tr51 <= hh_total

tr51 <= ind_total

tr51 <= tr5

tr51 >= 0

tr52 <= hh_total

tr52 <= ind_total

tr52 <= tr5

tr52 >= 0

tr6 <= hh_total

tr6 <= ind_total

tr6 = tr61 + tr62 + tr63

tr6 >= 0

tr61 <= hh_total

tr61 <= ind_total

tr61 <= tr6

tr61 >= 0

tr62 <= hh_total

tr62 <= ind_total

tr62 <= tr6

tr62 >= 0

tr63 <= hh_total

tr63 <= ind_total

tr63 <= tr6

tr63 >= 0

tr7 <= hh_total

tr7 <= ind_total

tr7 = tr71 + tr72

tr7 >= 0

tr71 <= hh_total

tr71 <= ind_total

tr71 <= tr7

tr71 >= 0

tr72 <= hh_total

tr72 <= ind_total

tr72 <= tr7

tr72 >= 0

204

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

tr8 <= hh_total

tr8 <= ind_total

tr8 = tr81 + tr82 + tr83

tr8 >= 0

tr81 <= hh_total

tr81 <= ind_total

tr81 <= tr8

tr81 >= 0

tr82 <= hh_total

tr82 <= ind_total

tr82 <= tr8

tr82 >= 0

tr83 <= hh_total

tr83 <= ind_total

tr83 <= tr8

tr83 >= 0

tr9 <= hh_total

tr9 <= ind_total

tr9 = tr90

tr9 >= 0

tr90 <= hh_total

tr90 <= ind_total

tr90 <= tr9

tr90 >= 0

tra <= hh_total

tra <= ind_total

tra = tra1 + tra2

tra >= 0

tra1 <= hh_total

tra1 <= ind_total

tra1 <= tra

tra1 >= 0

tra2 <= hh_total

tra2 <= ind_total

tra2 <= tra

tra2 >= 0

trb <= hh_total

trb <= ind_total

trb = trb1 + trb2

trb >= 0

trb1 <= hh_total

trb1 <= ind_total

trb1 <= trb

trb1 >= 0

205

European compilers’ manual for statistics on the use of ICT in households and by individuals Annex 2 - Validations rules

Survey

KeyName

KeyGroup

Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

206

trb2 <= hh_total

trb2 <= ind_total

trb2 <= trb

trb2 >= 0

trc <= hh_total

trc <= ind_total

trc = trc1 + trc2 + trc3

trc >= 0

trc1 <= hh_total

trc1 <= ind_total

trc1 <= trc

trc1 >= 0

trc2 <= hh_total

trc2 <= ind_total

trc2 <= trc

trc2 >= 0

trc3 <= hh_total

trc3 <= ind_total

trc3 <= trc

trc3 >= 0

ukc <= hh_total

ukc <= ind_total

ukc = ukc1 + ukc2

ukc >= 0

ukc1 <= hh_total

ukc1 <= ind_total

ukc1 <= ukc

ukc1 >= 0

ukc2 <= hh_total

ukc2 <= ind_total

ukc2 <= ukc

ukc2 >= 0

ukd <= hh_total

ukd <= ind_total

ukd = ukd1 + ukd3 + ukd4 + ukd6 + ukd7

ukd >= 0

ukd1 <= hh_total

ukd1 <= ind_total

ukd1 <= ukd

ukd1 >= 0

ukd3 <= hh_total

ukd3 <= ind_total

ukd3 <= ukd

ukd3 >= 0

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

ukd4 <= hh_total

ukd4 <= ind_total

ukd4 <= ukd

ukd4 >= 0

ukd6 <= hh_total

ukd6 <= ind_total

ukd6 <= ukd

ukd6 >= 0

ukd7 <= hh_total

ukd7 <= ind_total

ukd7 <= ukd

ukd7 >= 0

uke <= hh_total

uke <= ind_total

uke = uke1 + uke2 + uke3 + uke4

uke >= 0

uke1 <= hh_total

uke1 <= ind_total

uke1 <= uke

uke1 >= 0

uke2 <= hh_total

uke2 <= ind_total

uke2 <= uke

uke2 >= 0

uke3 <= hh_total

uke3 <= ind_total

uke3 <= uke

uke3 >= 0

uke4 <= hh_total

uke4 <= ind_total

uke4 <= uke

uke4 >= 0

ukf <= hh_total

ukf <= ind_total

ukf = ukf1 + ukf2 + ukf3

ukf >= 0

ukf1 <= hh_total

ukf1 <= ind_total

ukf1 <= ukf

ukf1 >= 0

ukf2 <= hh_total

ukf2 <= ind_total

ukf2 <= ukf

ukf2 >= 0

207

European compilers’ manual for statistics on the use of ICT in households and by individuals Annex 2 - Validations rules

Survey

KeyName

KeyGroup

Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

ukf3 <= hh_total

ukf3 <= ind_total

ukf3 <= ukf

ukf3 >= 0

ukg <= hh_total

ukg <= ind_total

ukg = ukg1 + ukg2 + ukg3

ukg >= 0

ukg1 <= hh_total

ukg1 <= ind_total

ukg1 <= ukg

ukg1 >= 0

ukg2 <= hh_total

ukg2 <= ind_total

ukg2 <= ukg

ukg2 >= 0

ukg3 <= hh_total

ukg3 <= ind_total

ukg3 <= ukg

ukg3 >= 0

ukh <= hh_total

ukh <= ind_total

ukh = ukh1 + ukh2 + ukh3

ukh >= 0

ukh1 <= hh_total

ukh1 <= ind_total

ukh1 <= ukh

ukh1 >= 0

ukh2 <= hh_total

ukh2 <= ind_total

ukh2 <= ukh

ukh2 >= 0

ukh3 <= hh_total

ukh3 <= ind_total

ukh3 <= ukh

ukh3 >= 0

uki <= hh_total

uki <= ind_total

uki = uki3 + uki4 + uki5 + uki6 + uki7

uki >= 0

uki3 <= hh_total

uki3 <= ind_total

uki3 <= uki

uki3 >= 0

208

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

uki4 <= hh_total

uki4 <= ind_total

uki4 <= uki

uki4 >= 0

uki5 <= hh_total

uki5 <= ind_total

uki5 <= uki

uki5 >= 0

uki6 <= hh_total

uki6 <= ind_total

uki6 <= uki

uki6 >= 0

uki7 <= hh_total

uki7 <= ind_total

uki7 <= uki

uki7 >= 0

ukj <= hh_total

ukj <= ind_total

ukj = ukj1 + ukj2 + ukj3 + ukj4

ukj >= 0

ukj1 <= hh_total

ukj1 <= ind_total

ukj1 <= ukj

ukj1 >= 0

ukj2 <= hh_total

ukj2 <= ind_total

ukj2 <= ukj

ukj2 >= 0

ukj3 <= hh_total

ukj3 <= ind_total

ukj3 <= ukj

ukj3 >= 0

ukj4 <= hh_total

ukj4 <= ind_total

ukj4 <= ukj

ukj4 >= 0

ukk <= hh_total

ukk <= ind_total

ukk = ukk1 + ukk2 + ukk3 + ukk4

ukk >= 0

ukk1 <= hh_total

ukk1 <= ind_total

ukk1 <= ukk

ukk1 >= 0

209

European compilers’ manual for statistics on the use of ICT in households and by individuals Annex 2 - Validations rules

Survey

KeyName

KeyGroup

Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

210

ukk2 <= hh_total

ukk2 <= ind_total

ukk2 <= ukk

ukk2 >= 0

ukk3 <= hh_total

ukk3 <= ind_total

ukk3 <= ukk

ukk3 >= 0

ukk4 <= hh_total

ukk4 <= ind_total

ukk4 <= ukk

ukk4 >= 0

ukl <= hh_total

ukl <= ind_total

ukl = ukl1 + ukl2

ukl >= 0

ukl1 <= hh_total

ukl1 <= ind_total

ukl1 <= ukl

ukl1 >= 0

ukl2 <= hh_total

ukl2 <= ind_total

ukl2 <= ukl

ukl2 >= 0

ukm <= hh_total

ukm <= ind_total

ukm = ukm5 + ukm6 + ukm7 + ukm8 + ukm9

ukm >= 0

ukm5 <= hh_total

ukm5 <= ind_total

ukm5 <= ukm

ukm5 >= 0

ukm6 <= hh_total

ukm6 <= ind_total

ukm6 <= ukm

ukm6 >= 0

ukm7 <= hh_total

ukm7 <= ind_total

ukm7 <= ukm

ukm7 >= 0

ukm8 <= hh_total

ukm8 <= ind_total

ukm8 <= ukm

ukm8 >= 0

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

BrkDwn

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

regional

total

total

a1

a1

a1

a1

a1

b1

b1

b1

b1

b1

b1

b1

b1

b1

b1

b1

b1

b2

b2

b2

b2

b2

b2

b2

b2

b2

b2

b2

b2

b2

ukm9 <= hh_total

ukm9 <= ind_total

ukm9 <= ukm

ukm9 >= 0

ukn <= hh_total

ukn <= ind_total

ukn = ukn0

ukn >= 0

ukn0 <= hh_total

ukn0 <= ind_total

ukn0 <= ukn

ukn0 >= 0

hh_total >= 0

ind_total >= 0

h_iacc <= househ

h_iaccx <= househ

h_iaccz <= househ

househ = h_iacc + h_iaccx + h_iaccz

househ >= h_iacc + h_iaccx + h_iaccz

i_i3_12 <= pop

i_ilt12 <= pop

i_ilt12 = i_iu3 + i_i3_12

i_imt12 <= pop

i_imt12 = i_iumt12 + i_iux

i_iu3 <= pop

i_iuevr <= pop

i_iuevr = i_ilt12 + i_iumt12

i_iumt12 <= pop

i_iux <= pop

pop = i_iuevr + i_iux

pop >= i_iuevr + i_iux

i_iday <= i_iday1 + i_iday_d

i_iday <= i_iu3

i_iday_d <= i_iday

i_iday_d <= i_iu3

i_iday1 <= i_iday

i_iday1 <= i_iu3

i_iltwk <= i_iu3

i_iu3 = i_iday + i_iwk + i_iltwk

i_iu3 = i_iday_d + i_iday1 + i_iwk + i_iltwk

i_iu3 >= i_iday + i_iwk + i_iltwk

i_iu3 >= i_iday_d + i_iday1 + i_iwk + i_iltwk

i_iuse <= i_iu3

i_iuse = i_iday + i_iwk

211

European compilers’ manual for statistics on the use of ICT in households and by individuals Annex 2 - Validations rules

Survey

KeyName

KeyGroup

Message

b2

b2

b2b1

b2b1

i_iuse = i_iday_d + i_iday1 + i_iwk

i_iwk <= i_iu3

pop = i_iuse + i_iltwkpop

pop >= i_iuse + i_iltwkpop

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

b3

i_ihif <= i_iu3

i_iuapr <= i_iu3

i_iubk <= i_iu3

i_iuchat1 <= i_iu3

i_iuchat1 <= i_iuphchat1

i_iucpp <= i_iu3

i_iucpp <= i_iupol2 + i_iuvote

i_iuem <= i_iu3

i_iuif <= i_iu3

i_iumapp <= i_iu3

i_iumuss1 <= i_iu3

i_iunw1 <= i_iu3

i_iuohc <= i_iu3

i_iupcast <= i_iu3

i_iupdg <= i_iu3

i_iuph1 <= i_iu3

i_iuph1 <= i_iuphchat1

i_iuphchat1 <= i_iu3

i_iuphchat1 <= i_iuph1 + i_iuchat1

i_iupol2 <= i_iu3

i_iupol2 <= i_iucpp

i_iusell <= i_iu3

i_iusnet <= i_iu3

i_iusnet_cpp <= i_iu3

i_iusnet_cpp <= i_iucpp

i_iusnet_cpp <= i_iusnet

i_iustv <= i_iu3

i_iustv <= i_iustvv

i_iustvv <= i_iu3

i_iustvv <= i_iuvod + i_iuvss + i_iustv

i_iuv <= i_iu3

i_iuv <= i_iuvod + i_iuvss

i_iuvod <= i_iu3

i_iuvod <= i_iustvv

i_iuvod <= i_iuv

i_iuvote <= i_iu3

i_iuvote <= i_iucpp

i_iuvss <= i_iu3

i_iuvss <= i_iustvv

i_iuvss <= i_iuv

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

212

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

b3b2

b3b2

b3b2

b3b2

b3b2

b3b2

b3b2

b3b2

b3b2

b3b2

b3b2

b3b2

b3b2

b3b2

b3b2

b4

b4

b4

b4

b4

b4

b4

b4

b4

b4

b4

b4

b4b2

b4b2

b4b2

b5

b5

b5

back

back

c1

c1

c1

c1

c1

c1

c1

c1

c1

i_iupol2_iday <= i_iday

i_iupol2_iday <= i_iu3

i_iupol2_iday <= i_iupol2

i_iupol2_iday_d <= i_iday_d

i_iupol2_iday_d <= i_iu3

i_iupol2_iday_d <= i_iupol2

i_iupol2_iltwk <= i_iltwk

i_iupol2_iltwk <= i_iu3

i_iupol2_iltwk <= i_iupol2

i_iupol2_iuse <= i_iu3

i_iupol2_iuse <= i_iupol2

i_iupol2_iuse <= i_iuse

i_iupol2_iwk <= i_iu3

i_iupol2_iwk <= i_iupol2

i_iupol2_iwk <= i_iwk

i_iuoany <= i_iu3

i_iuoany <= i_iuolc + i_iuocis1 + i_iuolm

i_iuocis1 <= i_iu3

i_iuocis1 <= i_iuoany

i_iuolany <= i_iu3

i_iuolany <= i_iuolc + i_iuolm

i_iuolc <= i_iu3

i_iuolc <= i_iuoany

i_iuolc <= i_iuolany

i_iuolm <= i_iu3

i_iuolm <= i_iuoany

i_iuolm <= i_iuolany

i_iupol2_iday1 <= i_iday1

i_iupol2_iday1 <= i_iu3

i_iupol2_iday1 <= i_iupol2

i_iuofe <= i_iuoany

i_iuopp <= i_iuoany

i_iuow <= i_iuoany

sampleh <= househ

samplep <= pop

i_igov12if <= i_ilt12

i_igov12if <= i_iugov1

i_igovidb <= i_ilt12

i_igovidb <= i_iugov1

i_igovip <= i_ilt12

i_igovip <= i_iugov1

i_igovix <= i_iugov1x

i_ilt12 = i_iugov1 + i_iugov1x

i_ilt12 >= i_iugov1 + i_iugov1x

213

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KeyName

KeyGroup

Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

HH

Variable

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

c1

c1

c1

c2

c3

c4

c5

c5

c5

c5

c5

c5

c5

c6

c6

c6

c6

c6

c6

c6

c6

c6

c6

c6c1

c6c1

c6c1

c6c1

c6c1

c6c1

c6c1

c6c1

c6c1

c6c1

c6c1

c6c1

c6c1

c6c1

c6c1

c7

c7

c7

c7

214

i_iugov1 <= i_igovip + i_igovidb + i_igov12if

i_iugov1 <= i_ilt12

i_iugov1x <= i_ilt12

i_igov12fm <= i_ilt12

i_igovapr <= i_ilt12

i_igovpost <= i_ilt12

i_igovtax1_slf <= i_ilt12

i_igovtax1x_aut <= i_ilt12

i_igovtax1x_del <= i_ilt12

i_igovtax1x_oth <= i_ilt12

i_igovtax1x_pf <= i_ilt12

i_ilt12 = i_igovtax1_slf + i_igovtax1x_aut + i_igovtax1x_pf + i_igovtax1x_del + 
i_igovtax1x_oth

i_ilt12 >= i_igovtax1_slf + i_igovtax1x_aut + i_igovtax1x_pf + i_igovtax1x_del + 
i_igovtax1x_oth

i_igovbe <= i_igovr

i_igovbe <= i_ilt12

i_igovodc <= i_igovr

i_igovodc <= i_ilt12

i_igovr <= i_igovodc + i_igovbe + i_igovrcc

i_igovr <= i_igovr

i_igovrcc <= i_ilt12

i_igovrx <= i_ilt12

i_ilt12 = i_igovr + i_igovrx

i_ilt12 >= i_igovr + i_igovrx

i_igov12fm <= i_igovanys

i_igov12if <= i_igovanys

i_igovanys <= i_igovip + i_igovidb + i_igov12if + i_igov12fm + i_igovapr + i_
igovpost + i_igovtax1_slf + i_igovodc + i_igovbe + i_igovrcc

i_igovanys <= i_ilt12

i_igovapr <= i_igovanys

i_igovbe <= i_igovanys

i_igovidb <= i_igovanys

i_igovip <= i_igovanys

i_igovodc <= i_igovanys

i_igovpost <= i_igovanys

i_igovrcc <= i_igovanys

i_igovtax1_slf <= i_igovanys

i_iugov1_igovr <= i_igovr

i_iugov1_igovr <= i_ilt12

i_iugov1_igovr <= i_iugov1

i_igovrx = i_irgovnn + i_irgovnnx

i_igovrx >= i_irgovnn + i_irgovnnx

i_irgoveid <= i_irgovnnx

i_irgovls <= i_irgovnnx

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

c7

c7

c7

c7

c7

c8

c8

c8

c8

c8

c8

c8

c8

c8

c8

d01

d01

d01

d01

d01

d01

d01

d01

d01

d01

d01

d01

d01

d01b1

d01b1

d01b3

d01b3

d01b3

d01b3

d01b3

d02

d02

d02

d02

d02

d02

d02

d02

d02

i_irgovnn <= i_igovrx

i_irgovnnx <= i_igovrx

i_irgovop <= i_irgovnnx

i_irgovoth <= i_irgovnnx

i_irgovsec <= i_irgovnnx

i_igovusehi <= i_ilt12

i_igovuselo <= i_ilt12

i_iigovdu <= i_igovanys

i_iigoveid <= i_igovanys

i_iigovmob <= i_igovanys

i_iigovoth <= i_igovanys

i_iigovpay <= i_igovanys

i_iigovtp <= i_igovanys

i_iigovx <= i_igovanys

i_ilt12 >= i_igovuselo + i_igovusehi

i_b3_12 <= i_ilt12

i_bgt3 <= i_ilt12

i_bgt3 = i_b3_12 + i_bumt12

i_blt12 <= i_ilt12

i_blt12 = i_buy3 + i_b3_12

i_bumt12 <= i_ilt12

i_bumt12x <= i_ilt12

i_bumt12x = i_bumt12 + i_bux

i_bux <= i_ilt12

i_buy3 <= i_ilt12

i_buy3 <= i_iu3

i_ilt12 = i_blt12 + i_bumt12 + i_bux

i_ilt12 >= i_blt12 + i_bumt12 + i_bux

i_bgt3_iu3 <= i_bgt3

i_bgt3_iu3 <= i_iu3

i_buy3 <= i_ecom

i_ecom <= i_iu3

i_ecom <= i_iuevr

i_ecom <= i_iusell + i_buy3

i_iusell <= i_ecom

i_bbmc <= i_bpg_any

i_bbmc <= i_buy3

i_bbooknlg <= i_bpg_any

i_bbooknlg <= i_buy3

i_bcbw <= i_bpg_any

i_bcbw <= i_buy3

i_bcg <= i_bpg_any

i_bcg <= i_buy3

i_bclot1 <= i_bpg_any

215

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KeyName

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Message

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

d02

d02

d02

d02

d02

d02

d02

d02

d02

d02

d02

d02

d02

d02

d02

d02

d02

d02

d02

d02

d02

d02

d02

d02

d02

d02b3

d02b3

d03

d03

d03

d03

d03

d03

d03

d03

d04

d04

d04

d04

d05

d05

d05

d05

216

i_bclot1 <= i_buy3

i_bcph <= i_bpg_any

i_bcph <= i_buy3

i_beequ1 <= i_bpg_any

i_beequ1 <= i_buy3

i_bfdr <= i_bpg_any

i_bfdr <= i_buy3

i_bfds <= i_bpg_any

i_bfds <= i_buy3

i_bflmg <= i_bpg_any

i_bflmg <= i_buy3

i_bfurn1 <= i_bpg_any

i_bfurn1 <= i_buy3

i_bhard1 <= i_bpg_any

i_bhard1 <= i_buy3

i_bmed1 <= i_bpg_any

i_bmed1 <= i_buy3

i_bmusg <= i_bpg_any

i_bmusg <= i_buy3

i_bopg <= i_bpg_any

i_bopg <= i_buy3

i_bpg_any <= i_bclot1 + i_bspg + i_bcg + i_bfurn1 + i_bmusg + i_bflmg + i_
bbooknlg + i_bhard1 + i_beequ1 + i_bmed1 + i_bfdr + i_bfds + i_bcbw + i_bcph 
+ i_bbmc + i_bopg

i_bpg_any <= i_buy3

i_bspg <= i_bpg_any

i_bspg <= i_buy3

i_ihif_bmed1 <= i_bmed1

i_ihif_bmed1 <= i_ihif

i_bpg_dom <= i_bpg_any

i_bpg_eu <= i_bpg_any

i_bpg_eu <= i_bpg_for

i_bpg_for <= i_bpg_any

i_bpg_for <= i_bpg_eu + i_bpg_wrld

i_bpg_unk <= i_bpg_any

i_bpg_wrld <= i_bpg_any

i_bpg_wrld <= i_bpg_for

i_bpg_any = i_bpg_pp + i_bpg_ppx

i_bpg_any >= i_bpg_pp + i_bpg_ppx

i_bpg_pp <= i_bpg_any

i_bpg_ppx <= i_bpg_any

i_bapp <= i_buy3

i_bbooknls <= i_bcs

i_bbooknls <= i_buy3

i_bcs <= i_bmuss + i_bflms + i_bbooknls + i_bgames

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

d05

d05

d05

d05

d05

d05

d05

d05

d05

i_bcs <= i_buy3

i_bflms <= i_bcs

i_bflms <= i_buy3

i_bgames <= i_bcs

i_bgames <= i_buy3

i_bhlfts <= i_buy3

i_bmuss <= i_bcs

i_bmuss <= i_buy3

i_bsofts <= i_buy3

d05b3

d05b3

i_ihif_bhlfts <= i_bhlfts

i_ihif_bhlfts <= i_ihif

d06

d06

d06

d06

d06

d07

d07

d07

d07

d08

d08

d08

d08

d08

d08b3

d08b3

d08b3

d08b3

d09

d09

d09

d09

d09

d09b3

d09b3

d09b3

d09b3

d09d08

d09d08

d09d08

i_bctick <= i_buy3

i_bhhs <= i_buy3

i_bsimc <= i_buy3

i_bstick <= i_buy3

i_bsutil <= i_buy3

i_bhhs = i_bhhs_pp + i_bhhs_ppx

i_bhhs >= i_bhhs_pp + i_bhhs_ppx

i_bhhs_pp <= i_bhhs

i_bhhs_ppx <= i_bhhs

i_btps <= i_btps_e + i_btps_pp

i_btps_e <= i_btps

i_btps_e <= i_buy3

i_btps_pp <= i_btps

i_btps_pp <= i_buy3

i_btps_pp_iusell <= i_btps_pp

i_btps_pp_iusell <= i_iusell

i_btps_pp_iusnet <= i_btps_pp

i_btps_pp_iusnet <= i_iusnet

i_bra <= i_bra_e + i_bra_pp

i_bra_e <= i_bra

i_bra_e <= i_buy3

i_bra_pp <= i_bra

i_bra_pp <= i_buy3

i_bra_pp_iusell <= i_bra_pp

i_bra_pp_iusell <= i_iusell

i_bra_pp_iusnet <= i_bra_pp

i_bra_pp_iusnet <= i_iusnet

i_bra_pp <= i_btps_bra_pp

i_btps_bra_pp <= i_btps_pp + i_bra_pp

i_btps_pp <= i_btps_bra_pp

d09d08d07d04

i_bany_pp <= i_bpg_pp + i_bhhs_pp + i_btps_pp + i_bra_pp

d09d08d07d04

i_bhhs_pp <= i_bany_pp

d09d08d07d04

i_bpg_pp <= i_bany_pp

217

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KeyName

KeyGroup

Message

d09d08d07d04

i_bra_pp <= i_bany_pp

d09d08d07d04

i_btps_pp <= i_bany_pp

d10

d10

d10

d10

d11

d11

d11

d11

d11

d11

d11

e1

e1

e1

e1

e1

e1

e1

e1

e1

e1

e1

e1

e1

e1

e1

e2

e2

e2

e2

e2

e2

e2

e2

e2

e2

e2

e2

e2

e2

e2

e2

i_bots <= i_buy3

i_botsx <= i_buy3

i_buy3 = i_bots + i_botsx

i_buy3 >= i_bots + i_botsx

i_bfin_cr1 <= i_bfin2

i_bfin_cr1 <= i_iu3

i_bfin_in1 <= i_bfin2

i_bfin_in1 <= i_iu3

i_bfin_sh1 <= i_bfin2

i_bfin_sh1 <= i_iu3

i_bfin2 <= i_bfin_sh1 + i_bfin_in1 + i_bfin_cr1

i_iot_dem <= i_iot_dom

i_iot_dem <= i_iu3

i_iot_dha <= i_iot_dom

i_iot_dha <= i_iu3

i_iot_dom <= i_iot_dem + i_iot_dha + i_iot_dsec + i_iot_dva

i_iot_dom <= i_iu3

i_iot_dsec <= i_iot_dom

i_iot_dsec <= i_iu3

i_iot_dva <= i_iot_dom

i_iot_dva <= i_iu3

i_iot_dx <= i_iu3

i_iu3 >= i_iot_dem + i_iot_dx

i_iu3 >= i_iot_dha + i_iot_dx

i_iu3 >= i_iot_dsec + i_iot_dx

i_iu3 >= i_iot_dva + i_iot_dx

i_iot_bcpp <= i_iot_bdkx

i_iot_bcpp <= i_iot_dx

i_iot_bcsc <= i_iot_bdkx

i_iot_bcsc <= i_iot_dx

i_iot_bcsh <= i_iot_bdkx

i_iot_bcsh <= i_iot_dx

i_iot_bcshx <= i_iot_bdkx

i_iot_bcshx <= i_iot_dx

i_iot_bcst <= i_iot_bdkx

i_iot_bcst <= i_iot_dx

i_iot_bdk <= i_iot_dx

i_iot_bdkx <= i_iot_dx

i_iot_bdkx = i_iot_bcsh + i_iot_bcshx

i_iot_bdkx >= i_iot_bcsh + i_iot_bcshx

i_iot_blc <= i_iot_bdkx

i_iot_blc <= i_iot_dx

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

218

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

e2

e2

e2

e2

e2

e2

e2

e2

e2

e2

e2

e2

e2

e2

e2

e2

e2b3

e2b3

e2b3

e2b3

e3

e3

e3

e3

e3

e3

e3

e3

e4

e4

e4

e4

e4b3

e4b3

e4b3

e4d05

e4d05

e4e3e1

e4e3e1

e4e3e1

e4e3e1

e4e3e1

e4e3e1

e4e3e1

i_iot_blsk <= i_iot_bdkx

i_iot_blsk <= i_iot_dx

i_iot_bnn <= i_iot_bdkx

i_iot_bnn <= i_iot_dx

i_iot_both <= i_iot_bdkx

i_iot_both <= i_iot_dx

i_iot_dx = i_iot_bdk + i_iot_bdkx

i_iot_dx >= i_iot_bcpp + i_iot_bdk

i_iot_dx >= i_iot_bcsc + i_iot_bdk

i_iot_dx >= i_iot_bcsh + i_iot_bdk

i_iot_dx >= i_iot_bcst + i_iot_bdk

i_iot_dx >= i_iot_bdk + i_iot_bdkx

i_iot_dx >= i_iot_blc + i_iot_bdk

i_iot_dx >= i_iot_blsk + i_iot_bdk

i_iot_dx >= i_iot_bnn + i_iot_bdk

i_iot_dx >= i_iot_both + i_iot_bdk

i_ihif_iot_bcsh <= i_ihif

i_ihif_iot_bcsh <= i_iot_bcsh

i_ihif_iot_bcshx <= i_ihif

i_ihif_iot_bcshx <= i_iot_bcshx

i_iot_iuany <= i_iot_iugc + i_iot_iuha + i_iot_iutv

i_iot_iuany <= i_iu3

i_iot_iugc <= i_iot_iuany

i_iot_iugc <= i_iu3

i_iot_iuha <= i_iot_iuany

i_iot_iuha <= i_iu3

i_iot_iutv <= i_iot_iuany

i_iot_iutv <= i_iu3

i_iot_dcar <= i_iu3

i_iot_dcs <= i_iu3

i_iot_dhe <= i_iu3

i_iot_dtoy <= i_iu3

i_ihif_iot_dhe <= i_ihif

i_ihif_iot_dhe <= i_iot_dhe

i_ihif_iot_dhe <= i_iu3

i_bhlfts_iot_dhe <= i_bhlfts

i_bhlfts_iot_dhe <= i_iot_dhe

i_iot_dcar <= i_iot_use

i_iot_dcs <= i_iot_use

i_iot_dem <= i_iot_use

i_iot_dha <= i_iot_use

i_iot_dhe <= i_iot_use

i_iot_dsec <= i_iot_use

i_iot_dtoy <= i_iot_use

219

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KeyName

KeyGroup

Message

e4e3e1

e4e3e1

e4e3e1

e4e3e1

e4e3e1

e5

e5

e5

e5

e5

e5

e5

e5

e5

f1

f1

f1

f1

f1

f1

f1

f1

f1

f1

f1

f1

f1

f1

f1

f1

f1

f1

f1

f1

f1

f2

f2

f2

f2

f2

f2

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

HH

Variable

HH

Variable

HH

HH

HH

HH

HH

HH

Variable

Variable

Variable

Variable

Variable

Variable

220

i_iot_dva <= i_iot_use

i_iot_iugc <= i_iot_use

i_iot_iuha <= i_iot_use

i_iot_iutv <= i_iot_use

i_iot_use <= i_iot_dem + i_iot_dsec + i_iot_dha + i_iot_dva + i_iot_iutv + i_iot_
iugc + i_iot_iuha + i_iot_dcs + i_iot_dhe + i_iot_dtoy + i_iot_dcar

i_iot_pdu <= i_iot_use

i_iot_poth <= i_iot_use

i_iot_psec <= i_iot_use

i_iot_pshe <= i_iot_use

i_iot_px <= i_iot_use

i_iot_use >= i_iot_pdu + i_iot_px

i_iot_use >= i_iot_poth + i_iot_px

i_iot_use >= i_iot_psec + i_iot_px

i_iot_use >= i_iot_pshe + i_iot_px

i_eco_dltdis <= i_iu3

i_eco_dltkpt <= i_iu3

i_eco_dltoth <= i_iu3

i_eco_dltrec <= i_iu3

i_eco_dltsld <= i_iu3

i_eco_dltuse <= i_iu3

i_eco_dmobdis <= i_iu3

i_eco_dmobkpt <= i_iu3

i_eco_dmoboth <= i_iu3

i_eco_dmobrec <= i_iu3

i_eco_dmobsld <= i_iu3

i_eco_dmobuse <= i_iu3

i_eco_dpcdis <= i_iu3

i_eco_dpckpt <= i_iu3

i_eco_dpcoth <= i_iu3

i_eco_dpcrec <= i_iu3

i_eco_dpcsld <= i_iu3

i_eco_dpcuse <= i_iu3

i_iu3 >= i_eco_dltkpt + i_eco_dltsld + i_eco_dltrec + i_eco_dltdis + i_eco_dltuse 
+ i_eco_dltoth

i_iu3 >= i_eco_dmobkpt + i_eco_dmobsld + i_eco_dmobrec + i_eco_dmobdis 
+ i_eco_dmobuse + i_eco_dmoboth

i_iu3 >= i_eco_dpckpt + i_eco_dpcsld + i_eco_dpcrec + i_eco_dpcdis + i_eco_
dpcuse + i_eco_dpcoth

i_eco_pbx <= i_iu3

i_eco_pecd <= i_eco_peco

i_eco_pecd <= i_iu3

i_eco_peco <= i_eco_peg + i_eco_phd + i_eco_pp + i_eco_ptbs

i_eco_peco <= i_iu3

i_eco_pee <= i_eco_peco

 European compilers’ manual for statistics on the use of ICT in households and by individualsSurvey

KeyName

KeyGroup

Message

Annex 2 - Validations rules

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

HH

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

Variable

f2

f2

f2

f2

f2

f2

f2

f2

f2

f2

f2

f2

f2

f2

f2

f2

f2

f2

f2

f2

f2

f2

f2

f2

f2

f2

f2

f2

f2

f2

i_eco_pee <= i_iu3

i_eco_peg <= i_eco_peco

i_eco_peg <= i_iu3

i_eco_pge2 <= i_iu3

i_eco_pge2 >= i_eco_pge3

i_eco_pge3 <= i_iu3

i_eco_pge3 >= i_eco_pge4

i_eco_pge4 <= i_iu3

i_eco_phd <= i_iu3

i_eco_phdq <= i_eco_phd

i_eco_phdq <= i_iu3

i_eco_pp <= i_iu3

i_eco_ppq <= i_eco_pp

i_eco_ppq <= i_iu3

i_eco_ptbs <= i_eco_peco

i_eco_ptbs <= i_iu3

i_eco_px <= i_iu3

i_iu3 >= i_eco_pecd + i_eco_pbx

i_iu3 >= i_eco_pecd + i_eco_px

i_iu3 >= i_eco_pee + i_eco_pbx

i_iu3 >= i_eco_pee + i_eco_px

i_iu3 >= i_eco_peg + i_eco_pbx

i_iu3 >= i_eco_peg + i_eco_px

i_iu3 >= i_eco_phd + i_eco_pbx

i_iu3 >= i_eco_phd + i_eco_px

i_iu3 >= i_eco_pp + i_eco_pbx

i_iu3 >= i_eco_pp + i_eco_px

i_iu3 >= i_eco_ptbs + i_eco_pbx

i_iu3 >= i_eco_ptbs + i_eco_px

i_iu3 >= i_eco_px + i_eco_pbx

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European compilers’ manual for statistics on the use of ICT in households and by individuals Annex 3 - Metadata reporting template

Annex 3 - Metadata reporting template

•	 1 - View for a european file

•	 2 - View for a national file

- Full view -

Template INFOSOC_HHNSI_A_2022

National Reference Metadata in Single

Integrated Metadata Structure (SIMS)

Compiling agency:

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: EUROPEAN STATISTICAL DATA SUPPORT

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1. Contact

1.1. Contact organisation
1.2. Contact organisation unit
1.3. Contact name
1.4. Contact person function
1.5. Contact mail address
1.6. Contact email address
1.7. Contact phone number
1.8. Contact fax number

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 European compilers’ manual for statistics on the use of ICT in households and by individuals2. Metadata update

2.1. Metadata last certified
2.2. Metadata last posted
2.3. Metadata last update

3. Statistical presentation

3.1. Data description

Annex 3 - Metadata reporting template

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The EU survey on the use of ICT in households and by individuals is an annual survey conducted since 
2002. In [country Z], it has been conducted since [year of first survey].

In 2022, the survey collects data on the access to information and communication technologies (ICT), on 
the use of the internet, e-government, e-commerce, internet of things, as well as green ICT.

3.1.1. Survey name in national and English languages

National language:

 English:

Questionnaire(s) in national language(s) and the translation in English are available in the annex.

3.2. Classification system
The  following  common  concepts  and  definitions  apply  under  the  Integrated  European  Social  Statistics 
(IESS):
•	

the International Standard Classification of Education (ISCED) 2011 published in the following 
breakdowns: low (ISCED levels 0-2: no formal education, primary education or lower secondary 
education),  medium  (ISCED  levels  3-4:  upper  secondary  or  post-secondary  non-tertiary 
education) and high (ISCED levels 5-6: tertiary programmes which normally need a successful 
completion of ISCED 3 or 4, or second-stage tertiary education leading to an advanced research 
qualification);

•	

•	

•	

•	

•	

the International Standard Classification for Occupation ISCO-08 at the 2-digit level;

the Classification of Economic Activities (NACE Rev.2-2008), at section level;

the  Common  classification  of  territorial  units  for  statistics  (NUTS  1)  –  finer  granularity  of 
NUTS 2 is provided on optional basis by some Member states;

the SCL - Geographical code list;

information about household income is provided at lower level of detail. 

Additional classifications used in the national questionnaire:   INFORMATION TO BE PROVIDED

3.3. Coverage - sector

The ICT survey in households and by individuals covers those households having at least one member in 
the age group 16 to 74 years old. Internet access of households refers to the percentage of households that 
have an internet access, so that anyone in the household could use the internet.

3.3.1. Differences in scope at national level

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3.4. Statistical concepts and definitions

The survey is collecting data of internet users, individuals who have used the internet in the three months 
prior to the survey. Regular internet users are individuals who used the internet, on average, at least once a 
week in the three months prior to the survey.

This annual survey is used to benchmark ICT-driven developments, both by following developments for 
core variables over time and by looking in greater depth at other aspects at a specific point in time. While the 
survey initially concentrated on access and connectivity issues, its scope has subsequently been extended 
to cover a variety of subjects (for example, the use of e-government and e-commerce) and socio-economic 
analysis (such as regional diversity, gender specificity, differences in age, education and the employment 
situation). The scope of the survey with respect to different technologies is also adapted so as to cover new 
product groups and means of delivering communication technologies to end-users.

For more details  on the methodology applicable in each survey year, please consult the Methodological 
Manual  for  the  respective  year  on  CIRCABC  -  Methodological  Manual  -  Information  society  statistics 
(europa.eu).

Deviations from standard ICT concepts:  INFORMATION TO BE PROVIDED

3.5. Statistical unit

Households and Individuals

3.6. Statistical population

In the ICT usage survey, the target population for the different statistical units is:

- individuals: all individuals aged 16 to 74;

- households: all (private) households with at least one member aged 16 to 74. 

Target population composed of households and/or individuals:

•	 Number of households:  INFORMATION TO BE PROVIDED

•	 Number of individuals:  INFORMATION TO BE PROVIDED

3.6.1. Non-compulsory age groups

Non-compulsory age groups also included in the target population:

No

Yes

Age scope

Individuals younger than 16?

Individuals older than 74?

3.6.2. Population not covered by the data collection

Non-target population 
(the difference between the total population and the target population)

Approximate number of units outside the general scope of the survey (e.g. 
individuals younger than 16 or older than 74;  
households with all members over 74 years old).

Estimate of the resulting percentage of under-coverage (non-covered population 
compared to the total country), if applicable

Households

Individuals

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Annex 3 - Metadata reporting template

3.7. Reference area

3.8. Coverage - Time
Year 2022

3.9. Base period
Not applicable

4. Unit of measure
Percentages of ‘Households’ and Percentages of ‘Individuals’

5. Reference Period

5.1. Survey period

6. Institutional Mandate

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6.1. Institutional Mandate - legal acts and other agreements

The legal basis for the 2022 EU survey on the use of ICT in households and by individuals is the Regulation 
(EU) 2019/1700 of the European Parliament and of the Council of 10 October 2019 establishing a common 
framework  for  European  statistics  relating  to  persons  and  households,  based  on  data  at  individual  level 
collected from samples (OJ  L 261 I, 14.10.2019, p. 1), as implemented by the Commission Implementing 
Regulation (EU) 2021/1223 of 27 July 2021 specifying the technical items of the data set, establishing the 
technical formats for transmission of information and specifying the detailed arrangements and content of 
the quality reports on the organisation of a sample survey in the use of information and communication 
technologies  domain  for  reference  year  2022  pursuant  to  Regulation  (EU)  2019/1700  of  the  European 
Parliament and of the Council (OJ L 2269, 27.07.2021, pp. 1-45).

Complementary national legislation constituting the legal basis for the survey on the use of ICT in 
households and by individuals:  INFORMATION TO BE PROVIDED

6.2. Institutional Mandate - data sharing

7. Confidentiality

7.1. Confidentiality - policy

7.2. Confidentiality - data treatment

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European compilers’ manual for statistics on the use of ICT in households and by individuals Annex 3 - Metadata reporting template

8. Release policy

8.1. Release calendar

8.2. Release calendar access

8.3. Release policy - user access

9. Frequency of dissemination
Annual

10. Accessibility and clarity

10.1. Dissemination format - News release

10.2. Dissemination format - Publications

10.3. Dissemination format - online database

10.3.1. Data tables - consultations

10.4. Dissemination format - microdata access

10.5. Dissemination format - other

10.5.1. Metadata - consultations

10.6. Documentation on methodology

10.6.1. Metadata completeness - rate

10.7. Quality management - documentation

11. Quality management

11.1. Quality assurance

11.2. Quality management - assessment

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 European compilers’ manual for statistics on the use of ICT in households and by individualsAnnex 3 - Metadata reporting template

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12. Relevance

12.1. Relevance - User Needs

12.2. Relevance - User Satisfaction

12.3. Completeness

12.3.1. Data completeness - rate

13. Accuracy

13.1. Accuracy - overall

13.2. Sampling error

13.2.1. Sampling error - indicators

Precision estimates for the question “Individuals having ordered goods or services for private use over the 
internet in the last 12 months” (individuals who ticked ‘Within the last 3 months’ or ‘Between 3 months and 
a year ago’ in question D1 of the 2022 model questionnaire):

Number of respondents (absolute value for ‘Yes’ answers):   INFORMATION TO BE PROVIDED

Estimated proportion (in %):   INFORMATION TO BE PROVIDED

Standard error (in percentage points):   INFORMATION TO BE PROVIDED

Details of the breakdowns are available in the Annex below. 

13.3. Non-sampling error
See more details on non-sampling error below.

13.3.1. Coverage error

13.3.1.1. Over-coverage - rate

13.3.1.2. Common units - proportion

Not requested in the ICT survey.
13.3.2. Measurement error

1)       Measurement errors:  INFORMATION TO BE PROVIDED

2)       Questionnaire design and testing:  INFORMATION TO BE PROVIDED

3)       Interviewer training:  INFORMATION TO BE PROVIDED

4)       Proxy interview rates:  INFORMATION TO BE PROVIDED

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13.3.3. Non response error

Information about non-respondents:  INFORMATION TO BE PROVIDED

13.3.3.1. Unit non-response - rate

The  unit  response  rate  is  the  ratio  of  the  number  of  in-scope  respondents  (=  the  number  of  achieved 
interviews or the net sample size to the number of eligible elements selected from the sampling frame).

Unit non-response rate for

•	 Households:   INFORMATION TO BE PROVIDED

•	

Individuals (aged 16-74):   INFORMATION TO BE PROVIDED

13.3.3.1.1. Unit non-response – sample sizes

Number of households

Number of individuals

(aged 16-74)

(< 16)

(> 74)

Gross sample [A]
The number of households/individuals initially 
selected from the sampling frame (if not 
applicable, indicate why below the table)
Ineligible: out-of-scope [B] 
E.g.  when  a  selected  household  is  not  in  the 
target population because all members are over 
75  years  old  or  when  no  dwelling  exists  at  the 
selected  address  or  a  selected  individual  has 
died between the reference data of the sampling 
frame at the moment of the interview.
Number of eligible elements [C]

Gross  sample  size  corrected  of  the  ineligible 
cases
Net sample size or final sample [D]

The net sample size (or final sample) corresponds 
to the number of households/individuals that can 
be used in the final database.
Unit response rate [E] = [D] / [C]

The unit response rate is the ratio of the number 
of  in-scope  respondents  (=  the  number  of 
achieved interviews or the net sample size to the 
number  of  eligible  elements  selected  from  the 
sampling frame)
 Comments, if any:

13.3.3.1.2. Unit non-response – methods, minimization and substitution

1)       Methods used for dealing with unit non-response:  INFORMATION TO BE PROVIDED

2)       Methods used for minimizing unit non-response:  INFORMATION TO BE PROVIDED

3)       Substitution permitted:  INFORMATION TO BE PROVIDED

4)       Substitution rate (in %):  INFORMATION TO BE PROVIDED

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 European compilers’ manual for statistics on the use of ICT in households and by individuals 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Annex 3 - Metadata reporting template

13.3.3.2. Item non-response - rate

Items with low response rates (observed rates in %):  INFORMATION TO BE PROVIDED

13.3.4. Processing error

13.3.5. Model assumption error

Not requested for ICT Survey

14. Timeliness and punctuality

14.1. Timeliness

14.1.1. Time lag - first result

14.1.2. Time lag - final result

14.2. Punctuality

14.2.1. Punctuality - delivery and publication

15. Coherence and comparability

15.1. Comparability - geographical

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15.1.1. Asymmetry for mirror flow statistics - coefficient

Not relevant
15.2. Comparability - over time
Possible limitations in the use of data for comparisons over time:  INFORMATION TO BE PROVIDED

15.2.1. Length of comparable time series

The length of comparable time series depends on the module and variable considered within each of the 
modules of the survey.

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

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European compilers’ manual for statistics on the use of ICT in households and by individuals Annex 3 - Metadata reporting template

15.4.1. Questionnaire 2022 – mandatory questions

MANDATORY questions in the Eurostat model questionnaire 2022:

The table in the annex lists the questions that do not reflect the coverage of subjects and characteristics of 
Annex 2 of the Commission Delegated Regulation (EU) 2021/1898 of the 20 July 2021. 

15.4.2. Questionnaire 2022 – optional questions

Adoption of OPTIONAL questions and items in the Eurostat model questionnaire 2022:

The  table  in  the  annex  lists  the  optional  questions  from  the  annual  Eurostat  model  questionnaire  2022 
included in the national questionnaire and their coverage for age groups beyond the standard scope. 

15.4.3. Questionnaire 2022 – additional questions at national level

Additional questions introduced in the national questionnaire:  INFORMATION TO BE PROVIDED

15.4.4. Questionnaire 2022 – deviations effects

Effects of deviations from the routing used in the Eurostat model questionnaire:  INFORMATION 
TO BE PROVIDED

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16. Cost and Burden
1) Costs and burden of the survey: INFORMATION TO BE PROVIDED 
2) Average time used for answering the survey questionnaire:  INFORMATION TO BE 
PROVIDED 
3) Measures taken to reduce the cost and burden of the survey:  INFORMATION TO BE 
PROVIDED

17. Data revision

17.1. Data revision - policy

17.2. Data revision - practice

17.2.1. Data revision - average size

Not relevant

18. Statistical processing

18.1. Source data

The source of the raw data is described with more details in the paragraphs below.

18.1.1. Sampling frame

18.1.2. Sampling design

18.1.3. Net effective sample size

NET EFFECTIVE sample size (in number of individuals):

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 European compilers’ manual for statistics on the use of ICT in households and by individualsAnnex 3 - Metadata reporting template

18.2. Frequency of data collection

Annual
18.3. Data collection

1) Methods used to gather data:

2) Short description of the survey method:

3) Variables completed from an external source:

18.4. Data validation

18.5. Data compilation

18.5.1. Imputation - rate

For the target indicator “Individuals having ordered goods or services for private use over the internet in the 
last 12 months” (individuals who ticked ‘Within the last 3 months’ or ‘Between 3 months and a year ago’ in 
question D1 of the 2022 model questionnaire):

Imputation rate (% of observations):

Imputation rate (share of estimate):

18.5.2. Use of imputation methods
Methods used to impute item non-response: 

18.5.3. Grossing-up procedures

Grossing up procedures have been applied to: Individuals and/or Households

 Description of the weighting procedures:

18.6. Adjustment
Not relevant

18.6.1. Seasonal adjustment

Not relevant

19. Comment

Related metadata

Annexes
INFOSOC_HHNSI_A_2022

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231

European compilers’ manual for statistics on the use of ICT in households and by individuals GETTING IN TOUCH WITH THE EU

In person

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centre nearest you at: https://europa.eu/european-union/contact_en 

On the phone or by email

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– by freephone: 00 800 6 7 8 9 10 11 (certain operators may charge for these calls),

– at the following standard number: +32 22999696 or 

– by email via: https://europa.eu/european-union/contact_en 

FINDING INFORMATION ABOUT THE EU

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of  free  publications  may  be  obtained  by  contacting  Europe  Direct  or  your  local  information  centre  (see  https://
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EU law and related documents

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EUR-Lex at: http://eur-lex.europa.eu 

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downloaded and reused for free, for both commercial and non-commercial purposes.

European compilers’ manual for statistics on the use of ICT in households and by individualsThe purpose of this publication is to provide the compilers of European statistics on the use of information and communication technology (ICT) in households and by individuals with clarifications on how to apply the EU legal provisions. With the help of explanations and legal references, the Manual is meant to serve as a practical reference document for National Statistical Authorities.For more informationhttps://ec.europa.eu/eurostat/KS-GQ-22-012-EN-NISBN  978-92-76-58208-3