Commission Implementing Regulation (EU) 2023/138 of 21 December 2022 laying down a list of specific high-value datasets and the arrangements for their publication and re-use (Text with EEA relevance)

20.1.2023	EN	Official Journal of the European Union	L 19/43

THE EUROPEAN COMMISSION,

Having regard to the Treaty on the Functioning of the European Union,

Having regard to Directive (EU) 2019/1024 of the European Parliament and of the Council of 20 June 2019 on open data and the re-use of public sector information ¹, and in particular Article 14(1) thereof,

Whereas:

• (1) It transpires from Directive (EU) 2019/1024 that an EU-wide list of datasets with a particular potential to generate socio-economic benefits and with harmonised re-use conditions is a significant enabler of cross-border data applications and services.

• (2) The main objective of establishing the list of high-value datasets is to ensure that public data of highest socio-economic potential are made available for re-use with minimal legal and technical restriction and free of charge.

• (3) Harmonising the implementation of the re-use conditions of high-value datasets entails the technical specification for making the datasets available in a machine-readable format and via application programming interfaces (APIs). Making high-value datasets available under optimal conditions strengthens the open data policies in the Member States, building on the principles of findability, accessibility, interoperability and reusability (FAIR principles).

• (4) Annex I to Directive (EU) 2019/1024 lays down the themes of high-value datasets by listing six thematic data categories: 1) geospatial; 2) earth observation and environment; 3) meteorological; 4) statistics; 5) companies and company ownership; and 6) mobility.

• (5) Following a wide stakeholder consultation and given the result of the impact assessment for this Implementing Regulation, the Commission identified, within each of the six data categories, several datasets of particularly high value and the arrangements for their publication and re-use. The provisions of Union and Member State legislation that go beyond the minimum requirements set out in this Implementing Regulation, in particular in cases of sectoral law, are to continue to apply.

• (6) Pursuant to Directive (EU) 2019/1024, the requirement to make high-value datasets available free of charge shall not apply to libraries, including university libraries, museums and archives. Member States may exempt individual public sector bodies, upon their request and in line with the criteria set out in the Directive from the requirement to make high-value datasets available free of charge for a period not exceeding two years from the date of the entry into force of this Implementing Regulation.

• (7) Directive (EU) 2019/1024 stipulates in its Article 14(3) that this Implementing Regulation shall provide that the availability of high-value datasets free of charge is not to apply to specific high-value datasets held by public undertakings where that would lead to a distortion of competition in the relevant markets. However, data held by public undertakings are not included in the scope of this Implementing Regulation.

• (8) Where making high-value datasets available for re-use entails the processing of personal data, such processing should be carried out in accordance with Union law on the protection of individuals with regard to the processing of personal data, in particular Regulation (EU) 2016/679 of the European Parliament and of the Council ² and including any provisions of national law further specifying the application of the GDPR. Member States should make use of appropriate methods and techniques (such as generalisation, aggregation, suppression, anonymisation, differential privacy or randomisation), thus making as much data as possible available for re-use.

• (9) In addition to Directive (EU) 2019/1024, other Union legal acts, including Directive 2007/2/EC of the European Parliament and of the Council ³ and Directive 2005/44/EC of the European Parliament and of the Council ⁴ may be of relevance for the re-use of public sector information falling within the scope of this Implementing Regulation, notably where those Union acts lay down common requirements for data quality and interoperability.

• (10) Regarding all thematic categories, especially the category ‘companies and company ownership’, Member States are encouraged to go beyond the minimum requirements with respect to the scope of datasets and arrangements for re-use set out in this Regulation.

• (11) Member States should be able to complement the datasets listed in the Annex to this Regulation with public sector information already accessible, whenever such data are thematically related and considered of high value based on the criteria described under Article 14(2) of Directive (EU) 2019/1024. When this includes information that constitutes personal data, adding such information to the datasets must be necessary, proportionate and genuinely meet objectives of general interest.

• (12) It is the objective of Directive (EU) 2019/1024 to promote the use of standard public licences available online for re-using public sector information. The Commission’s Guidelines on recommended standard licences, datasets and charging for the re-use of documents ⁵ identify Creative Commons (‘CC’) licences as an example of recommended standard public licences. CC licences are developed by a non-profit organisation and have become a leading licensing solution for public sector information, research results and cultural domain material across the world. It is therefore necessary to refer in this Implementing Regulation to the most recent version of the CC licence suite, namely CC 4.0. A licence equivalent to the CC licence suite may include additional arrangements, such as the obligation on the re-user to include updates provided by the data holder and to specify when the data were last updated, as long as they do not restrict the possibilities for re-using the data.

• (13) The European Data Protection Supervisor was consulted in accordance with Article 42(1) of Regulation (EU) 2018/1725 of the European Parliament and of the Council ⁶ and delivered an opinion on 15 July 2022.

• (14) The measures set out in this Implementing Regulation are in accordance with the opinion of the Committee on open data and the re-use of public sector information set out in Article 16 of Directive (EU) 2019/1024,

HAS ADOPTED THIS REGULATION:

Article 1

Subject matter

Article 2

Definitions

For the purposes of this Implementing Regulation, the following definitions shall apply:

• (1) The definitions set out in Article 2 of Directive (EU) 2019/1024 shall apply.

• (2) The definitions set out for datasets in the geospatial, earth observation and environment and meteorological categories in Directive 2007/2/EC shall apply.

• (3) The definitions set out for datasets in the mobility category under Directive 2007/2/EC and Directive 2005/44/EC shall apply.

• (4) ‘key attribute’ means a characteristic of an object or an entity in a dataset, such as a national identification code or name;

• (5) ‘granularity’ means the level of detail of the dataset;

• (6) ‘application programming interface (API)’ means a set of functions, procedures, definitions and protocols for machine-to-machine communication and the seamless exchange of data;

• (7) ‘bulk download’ means a function that enables a download of an entire dataset in one or several packages.

Article 3

Arrangements for publication applicable to all categories of high-value datasets

Article 4

Arrangements for re-use applicable to all categories of high-value datasets

Article 5

Reporting

• (a) a list of specific datasets at Member State level (and, where relevant, subnational level) corresponding to the description of each high-value dataset in the Annex to this Regulation and with online reference to metadata that follow existing standards, such as a single register or open data catalogue;

• (b) persistent link to the licensing conditions applicable to the re-use of high-value datasets listed in the Annex to this Regulation, per dataset referred to in point a);

• (c) persistent link to the APIs ensuring access to the high-value datasets listed in the Annex to this Regulation, per dataset referred to in point a);

• (d) where available, guidance documents issued by the Member State on publishing and reusing their high-value datasets;

• (e) where available, the existence of data protection impact assessments carried out in accordance with Article 35 of Regulation (EU) 2016/679;

• (f) the number of public sector bodies exempted in accordance with Article 14(5) of Directive (EU) 2019/1024.

Article 6

Entry into force and application

This Regulation shall enter into force on the twentieth day following that of its publication in the Official Journal of the European Union.

It shall apply from 16 months after entry into force of this Regulation.

This Regulation shall be binding in its entirety and directly applicable in all Member States.

Done at Brussels, 21 December 2022.

For the Commission

The President

Ursula VON DER LEYEN

ANNEX

1. GEOSPATIAL

1.1.   Datasets in scope

The geospatial thematic category includes datasets within the scope of the INSPIRE data themes Administrative units, Geographical names, Addresses, Buildings and Cadastral parcels as defined in Annex I and Annex III to Directive 2007/2/EC of the European Parliament and of the Council ⁷. In addition, it includes Reference parcels and Agricultural parcels as defined in Regulation (EU) No 1306/2013 of the European Parliament and of the Council ⁸ and of Regulation (EU) No 1307/2013 of the European Parliament and of the Council ⁹ and the related delegated and implementing acts ¹⁰. Their granularity, geographical coverage and the key attributes are listed in the table below. If datasets are not available at the scale indicated in the table below, but are available at higher spatial resolution(s) ¹¹, they shall be provided at the available spatial resolution.

Datasets	Administrative units	Geographical names	Addresses	Buildings	Cadastral parcels	Reference parcels	Agricultural parcels
Granularity	All levels of generalisation available with a granularity up to the scale of 1:5 000 . From municipalities to countries; maritime units.	N/A	N/A	All levels of generalisation available with a granularity up to the scale of 1:5 000 .	All levels of generalisation available with a granularity up to the scale of 1:5 000 .	A level of accuracy that is at least equivalent to that of cartography at a scale of 1:10 000 and, as from 2016, at a scale of 1:5 000 , as referred to in Article 70(1) of Regulation (EU) 1306/2013.	A level of accuracy that is at least equivalent to that of cartography at a scale of 1:10 000 and, as from 2016, at a scale of 1:5 000 , as referred to in Article 70(1) of Regulation (EU) 1306/2013.
Geographical coverage	Single or multiple datasets that shall cover the entire Member State when combined.	Single or multiple datasets that shall cover the entire Member State when combined.	Single or multiple datasets that shall cover the entire Member State when combined.	Single or multiple datasets that shall cover the entire Member State when combined.	Single or multiple datasets that shall cover the entire Member State when combined.	Single or multiple datasets that shall cover the entire Member State when combined.	Single or multiple datasets that shall cover the entire Member State when combined.
Key attributes	Unique identifier; Unit type (administrative or maritime unit); Geometry12; Boundary status; National identification code; Identification code of the upper administrative level; Official name; Country code; Name in multiple languages (only for countries with more than one official language) including a language with Latin characters, when feasible.	Unique identifier; Geometry; Name in multiple languages (only for countries with more than one official language) including a language with Latin characters, when feasible; Type.	Unique identifier; Geometry; Address locator (e.g. house number); Thoroughfare (street); name; Administrative units (e.g. municipality, province, country; Postal descriptor (e.g. post code); Date of last update.	Unique identifier; Geometry (footprint of the building); Number of floors; Type of use.	Unique identifier; Geometry (boundary of cadastral parcels or basic property units13); Parcel or basic property unit code; A reference to the administrative unit of lowest administrative level to which this parcel or basic property unit belongs.	Unique identifier; Geometry (boundary and area); Land cover14; organic15; Stable landscape elements16 (“EFA-layer”); areas with natural/specific constraints.	Unique identifier; Geometry (boundary and area of each agricultural parcel); Land uses (crops or crop groups); Organic; Individual landscape element; Permanent grassland.

1.2.   Arrangements for the publication and re-use

• (a) The datasets shall be made available for re-use:

• — under the conditions of the Creative Commons BY 4.0 licence or any equivalent or less restrictive open licence;

• — in a publicly documented, Union or internationally recognised open, machine-readable format;

• — through application programming interfaces (‘APIs’) ¹⁷ and bulk download;

• — in their most up-to-date version.

• (b) The metadata describing the datasets within the scope of the INSPIRE data themes shall contain at least the metadata elements set out in Commission Regulation (EC) No 1205/2008. ¹⁸

• (c) For the implementation of the Reference parcels and Agricultural parcels datasets, Member States shall take into consideration the ongoing implementation of Directive 2007/2/EC as well as the obligation foreseen by Article 67(3) and 67(5) of Regulation (EU) 2021/2116.

2. EARTH OBSERVATION AND ENVIRONMENT

2.1.   Datasets in scope

The earth observation and environmental category includes earth observation, including space-based or remotely-sensed data, as well as ground-based or in situ data, environmental and climate datasets within the scope of the INSPIRE data themes listed in the first table below and defined in Annexes I-III to Directive 2007/2/EC, and datasets produced or generated in the context of the legal acts listed in the second table below. The most up-to-date datasets as well as historical versions of datasets available in machine-readable format at all levels of generalisation available up to the scale of 1:5 000 covering the entire Member State when combined are included. If datasets are not available at this scale, but are available at higher spatial resolution(s) ¹⁹, they shall be provided at the available spatial resolution.

Furthermore, consistent with and without affecting the relevant access regimes as defined in Directive 2003/4/EC, the earth observation and environmental thematic category includes all “Environmental information”, as defined in Article 2 of Directive 2003/4/EC of the European Parliament and of the Council ²⁰, and the environmental information listed in Directive 2003/4/EC, Article 7 “Dissemination of environmental information”.

INSPIRE DATA THEMES (as defined in Annexes to Directive 2007/2/EC)
Hydrography (I)
Protected sites (I)
Elevation (II)
Geology (II)
Land cover (II)
Orthoimagery (II)
Area management / restriction / regulation zones & reporting units (III)
Bio-geographical regions (III)
Energy Resources (III)
Environmental monitoring Facilities (III)
Habitats and biotopes (III)
Land Use (III)
Mineral Resources (III)
Natural risk zones (III)
Oceanographic geographical features (III)
Production and industrial facilities (III)
Sea regions (III)
Soil (III)
Species distribution (III)

ENVIRONMENTAL DOMAIN	Legal acts laying down the key variables
Air	Articles 6-14 of Directive 2008/50/EC of the European Parliament and of the Council21, Articles 7 of Directive 2004/107/EC of the European Parliament and of the Council22
Climate	Articles 18(1), 19, 26(2), 39(3) of Regulation (EU) 2018/1999 of the European Parliament and of the Council23, Article 26 of Regulation (EC) 1005/2009 of the European Parliament and of the Council24
Emissions	Article 24, 32, 55, 72 of Directive 2010/75/EU, Article 21 of Directive 2012/18/EU of the European Parliament and of the Council25, Article 10 of Council Directive 91/676/EEC26, Article 7 of Regulation (EC) No 166/2006 of the European Parliament and Council27, Article 18 of Regulation (EU) 2017/852 of the European Parliament and of the Council28, Article 10 of Directive (EU) 2016/2284 of the European Parliament and of the Council29
Nature preservation and biodiversity	Articles 4, 9, 12 of Directive 2009/147/EC of the European Parliament and of the Council30, Articles 4, 6, 16, 17 of Council Directive 92/43/EEC31, Article 24 of Regulation (EU) 1143/2014 of the European Parliament and of the Council32, Data for the nationally designated protected areas inventory – (CDDA), National biogeographical regions
Noise	Articles 4, 5, 7, 10 of Directive 2002/49/EC of the European Parliament and of the Council33
Waste	Article 15 of Council Directive 1999/31/EC34, Article 18 of Directive 2006/21/EC of the European Parliament and of the Council35, Article 10 of Council Directive 86/278/EEC36, Articles 15-17 of Council Directive 91/271/EEC37, Article 13 of Regulation (EU) 2019/1021/EU of the European Parliament and of the Council38, Article 15 of Commission Recommendation 2014/70/EU39
Water	Articles 15-17 of Directive 91/271/EEC, Article 13 of Directive 2006/7/EC of the European Parliament and of the Council40, Articles 5, 8, 11, 13, 15 of Directive 2000/60/EC, Articles 3-6 of Directive 2006/118/EC of the European Parliament and of the Council41, Article 5 of Directive 2008/105/EC of the European Parliament and of the Council42, Articles 17, 18 of Directive 2020/2184/EU of the European Parliament and of the Council43, Articles 3-8, 10 of Directive 2007/60/EC of the European Parliament and of the Council44, Articles 6-11, 13, 14, 17-19, 26, 27 of Directive 2008/56/EC of the European Parliament and of the Council45
Horizontal legislation	Articles 15, 18 of Directive 2004/35/EC of the European Parliament and of the Council46, Article 8 of Regulation (EU) 2020/852 of the European Parliament and of the Council47

2.2.   Arrangements for the publication and re-use

• a) The datasets shall be made available for re-use:

• — under the conditions of the Creative Commons BY 4.0 licence or any equivalent or less restrictive open licence;

• — in a publicly documented, Union or internationally recognised open, machine-readable format;

• — through APIs ⁴⁸ and bulk download (for historical versions of datasets: APIs or bulk download, as feasible and appropriate).

• b) The metadata describing the data within the scope of the INSPIRE data themes set shall contain at least the metadata elements set out in the Annex to Regulation (EC) No 1205/2008.

• c) The datasets shall be described in a complete and publicly available online documentation describing at least the data structure and semantics.

• d) The datasets shall use Union or internationally recognised and publicly documented controlled vocabularies and taxonomies, where available.

3. METEOROLOGICAL

3.1.   Datasets in scope

The meteorological thematic category includes datasets on observations data measured by weather stations, validated observations (climate data), weather alerts, radar data and numerical weather prediction (NWP) model data with the granularity and key attributes listed in the table below.

Datasets	Observations data measured by weather stations	Climate data: validated obser-vations	Weather alerts	Radar data	NWP model data
Granularity	Per weather station, full temporal resolution	Per weather station, full temporal resolution	Alerts, 48 hrs or more ahead	Per radar station in the MS and national composite	Minimum 48 hrs ahead in 1hr steps, national, at 2.5km/best available grid
Key attributes	All observation variables measured	All validated measured observation variables; daily average per variable		Reflectivity, Backscatter, polarization. Precipitation, wind, and echotops	Deterministic and/or ensembles if available, for meteorologically relevant parameters and levels

3.2.   Arrangements for the publication and re-use

• a) The datasets shall be made available for re-use:

• — under the conditions of the Creative Commons BY 4.0 licence or any equivalent or less restrictive open licence;

• — in any of the formats specified in the table below or another Union or internationally recognised open, machine-readable format;

• — through APIs and bulk download except for the dataset ‘NWP model data’ which shall be made available through APIs only;

• — pursuant to the update frequency and timeliness specified in the table below.

• b) The metadata describing the data set shall be complete and available on the web in an open and widely used machine-readable format.

• c) The datasets shall be described in a complete and publicly available online documentation describing at least the data structure and semantics ⁴⁹.

Datasets	Observations data measured by the weather stations	Climate data: validated obser-vations	Weather alerts	Radar data	NWP model data
Format	BUFR, NetCDF, ASCII,CSV, JSON	NetCDF, JSON, CSV	XML (Cap or RSS / Atom), JSON	HDF5, BUFR	GRIB (or NetCDF)
Update frequency and timeliness	Every 5-10 minutes in real time for automated stations, hourly unvalidated for all stations, for the last 24 hrs	Daily validated hourly (and better temporal resolution) and daily average observations data; all digitised historical data	As issued or hourly	Near real time in 5 minute intervals (or available shortest interval)	Every 6 hrs, or better temporal resolution, from the last 24 hrs.

4. STATISTICS

4.1.   Datasets in scope

The statistics thematic category includes statistical datasets except microdata related to reporting obligations as defined in the legal acts listed in the table below.

In order to identify in a complete manner the relevant legal references in the legal acts, for some of the datasets it is necessary to refer to concepts from a number of provisions and Annexes, as presented below in Tables 1-18. For those datasets, the definitions from the legal acts referred to in the table below apply. The legal acts are also applicable where it is indicated so in the footnotes to Tables 1-18.

Time series shall begin no later than at the date of application of the respective legal act listed in the table below.

Datasets	Legal acts laying down the key variables of the datasets in scope and their breakdowns
Industrial production	Regulation (EU) 2019/2152 of the European Parliament and of the Council50
Industrial production	Table 26 of the Annex to Commission Implementing Regulation (EU) 2020/119751
Industrial producer price index breakdowns by activity	Table 5 of Annex I to Implementing Regulation (EU) 2020/1197
Volume of sales by activity	Table 7 of Annex I of Implementing Regulation (EU) 2020/1197
EU International trade in goods statistics – exports and imports breakdowns simultaneously by partner, product and flow	Regulation (EU) 2019/2152
Tourism flows in Europe (see Tables 1 and 2 below for variables in scope)	Section 2 of Annex I to Regulation (EU) No 692/2011 of the European Parliament and of the Council52
	Article 1 of Commission Delegated Regulation (EU) 2019/168153
Harmonised Indices of consumer prices	Article 3 of Regulation (EU) 2016/792 of the European Parliament and of the Council54
National accounts – GDP main aggregates (see Tables 6-7 below for variables in scope)	Regulation (EU) No 549/2013 of the European Parliament and of the Council55, in particular Annex B
National accounts – key indicators on corporations (see Table 8 below for variables in scope)	Regulation (EU) No 549/2013, in particular Annex B
National accounts – key indicators on households (see Table 9 below for variables in scope)	Regulation (EU) No 549/2013, in particular Annex B
Government expenditure and revenue (see Table 10 below for variables in scope)	Regulation (EU) No 549/2013, in particular Annex B
Consolidated government gross debt (see Tables 11 and 12 below for variables in scope)	Chapter I of Council Regulation (EC) No 479/200956
Consolidated government gross debt (see Tables 11 and 12 below for variables in scope)	Regulation (EU) No 549/2013
Environmental accounts and statistics	Annex I to Regulation (EU) No 691/2011 of the European Parliament and of the Council57 Annex I and II to Regulation (EC) No 2150/2002 of the European Parliament and of the Council58
Population, Fertility, Mortality	Regulation (EU) No 1260/2013 of the European Parliament and of the Council59
	Annex II to Commission Implementing Regulation (EU) No 205/201460
	Regulation (EC) No 862/2007 of the European Parliament and of the Council61
	Commission Regulation (EU) No 351/201062
	Regulation (EU) No 1260/2013
	Implementing Regulation (EU) No 205/2014
	Regulation (EU) No 2020/851 of the European Parliament and of the Council63
Population (see Table 3 below for variables in scope)	Regulation (EU) No 1260/2013
Population (see Table 3 below for variables in scope)	Implementing Regulation (EU) No 205/2014
Population (see Table 3 below for variables in scope)	Regulation (EC) No 862/2007
Population (see Table 3 below for variables in scope)	Regulation (EU) No 351/2010
Fertility (see Table 4 below for variables in scope)	Regulation (EU) No 1260/2013
Fertility (see Table 4 below for variables in scope)	Implementing Regulation (EU) No 205/2014
Mortality (see Table 5 below for variables in scope)	Regulation (EU) No 1260/2013
Mortality (see Table 5 below for variables in scope)	Implementing Regulation (EU) No 205/2014
Mortality (see Table 5 below for variables in scope)	Commission Regulation (EU) No 328/201164
Mortality (see Table 5 below for variables in scope)	Commission Regulation (EU) No 349/201165
Mortality (see Table 5 below for variables in scope)	Council Decision 93/704/EC66
Current healthcare expenditure	Annex II to Regulation (EC) No 1338/2008
Current healthcare expenditure	Annex II to Commission Regulation (EU) 2015/35967
Poverty (see Table 13 below for variables in scope)	Regulation (EU) 2019/1700 of the European Parliament and of the Council68 Commission Implementing Regulation (EU) 2019/218069 Commission Implementing Regulation (EU) 2019/218170 Commission Implementing Regulation (EU) 2019/224271
Inequality (see Table 14 below for variables in scope)	Regulation (EU) 2019/1700 Implementing Regulation (EU) 2019/2180 Implementing Regulation (EU) 2019/2181 Implementing Regulation (EU) 2019/2242
Employment (see Tables 15-16 below for variables in scope)	Regulation (EU) 2019/1700 Commission Implementing Regulation (EU) 2019/224072
Unemployment (see Table 17 below for variables in scope)	Regulation (EU) 2019/1700 Implementing Regulation (EU) 2019/2240
Potential labour force (see Table 18 below for variables in scope)	Regulation (EU) 2019/1700 Implementing Regulation (EU) 2019/2240

Table 1

Specification for the yearly Tourism flows in Europe high-value dataset

Note: The breakdowns simultaneously indicated in a column should be offered for the crosstabulation of all variables involved.

Legend for breakdowns: ● = mandatory, ● = required for Member States where a sufficiently large sample size exists to allow for precise estimates, as set out in the relevant Regulation, ⇓ = NUTS 2 breakdowns are to be offered as a consequence of NUTS 3 being offered

Key variables Breakdowns	Key variables Breakdowns	Nights spent at tourist accommodation establishments	Nights spent at tourist accommodation establishments	Participation in tourism for personal purpose	Participation in tourism for personal purpose	Tourism trips made by EU residents	Tourism nights spent by EU residents	Tourism expenditure made by EU residents
Key variables Breakdowns	Key variables Breakdowns	Supply side information on domestic and inbound tourism	Supply side information on domestic and inbound tourism	Share of the population (15+) that make tourism trips with overnight stays for personal purpose during a given reference year	Share of the population (15+) that make tourism trips with overnight stays for personal purpose during a given reference year	Demand side information on domestic and outbound tourism trips	Demand side information on domestic and outbound tourism nights	Demand side information on domestic and outbound tourism expenditure
Country of origin	— Resident — non-resident	●	●
Duration of the trip	— Long — Short			●		●73	●73	●73
Destination country	— Domestic — Outbound				●	●73	●73	●73
Means of transport	7 categories74					●73	●73	●73
Means of accommodation	7 categories74					●73	●73	●73
Booking modalities 75	Various attributes74					●73 ; 75	●73 ; 75	●73 ; 75
Geographical	NUTS 2 region	⇓	●
	NUTS 3 region	●
	Coastal/non-coastal areas		●
	Degree of urbanisation (3 categories)		●
	City (selected cities only) 76	●

Table 2

Specification for the monthly Tourism flows in Europe high-value dataset

Key variables Breakdowns	Key variables Breakdowns	Nights spent at tourist accommodation establishments
Key variables Breakdowns	Key variables Breakdowns	Supply side information on domestic and inbound tourism
Country of origin	— Resident — non-resident	●
Geographical	NUTS 2	●

Table 3

Specification for the yearly population high-value dataset

Note: The breakdowns simultaneously indicated in a column should be offered for the crosstabulation of all variables involved.

Legend for breakdowns: ● = mandatory, ● = required for Member States that meet conditions set out in the relevant Regulation; ○ = voluntary

Key variables Breakdowns	Key variables Breakdowns	Population on 1 January	Population on 1 January	Population on 1 January	Population on 1 January	Population on 1 January	Median age	Old age dependency ratio
Key variables Breakdowns	Key variables Breakdowns							Proportion of people 65+ to people 20-64
Sex		●	●	●	●	●	●
Age		●	●	●	●	●
Education attainment level	ISCED 2011 77					○
Marital status					○
Citizenship			●
Country of birth				●
Human development index	HDI is a regrouping of country of birth and of country of citizenship		●	●
Region	NUTS 3	●					●	●

Table 4

Specification for the yearly fertility high-value dataset

Note: The breakdowns simultaneously indicated in a column should be offered for the crosstabulation of all variables involved.

Legend for breakdowns: ● = mandatory, ⇓ = NUTS 2 breakdowns are offered as a consequence of NUTS 3 being offered

Key variables Breakdowns	Key variables Breakdowns	Crude birth rate	Fertility rates by mother’s age	Total fertility rate
Key variables Breakdowns	Key variables Breakdowns	The ratio of the number of live births during the year to the average population in that year. The value is expressed per 1 000 population.	The ratio of the number of live births to mothers of age x to the average female population of age x.	Mean number of children that would be born alive to a woman during her lifetime if she were to pass through and survive her childbearing years conforming to the fertility rates by age of a given year.
Age			●
Region	NUTS 2	⇓	●	⇓
Region	NUTS 3	●		●

Table 5

Specification for the yearly mortality high-value dataset

Note: The breakdowns simultaneously indicated in a column should be offered for the crosstabulation of all variables involved.

Legend for breakdowns: ● =mandatory, ⇓ = NUTS 2 breakdowns to be offered as a consequence of NUTS 3 being offered

Key variables Breakdowns	Key variables Breakdowns	Crude death rate	Infant mortality rate	Life expectancy
Key variables Breakdowns	Key variables Breakdowns	The ratio of the number of deaths during the year to the average population in that year. The value is expressed per 1 000 population.	The ratio of the number of deaths of children under one year of age during the year to the number of live births in that year. The value is expressed per 1 000 live births.
Age				●
Sex				●
Region	NUTS 2	⇓	●	●
	NUTS 3	●

Table 6

Specification for the yearly National accounts – GDP main aggregates high-value dataset

Note: The breakdowns simultaneously indicated in a column should be offered for the crosstabulation of all variables involved.

Legend for breakdowns: ● = mandatory, ⇓ = NUTS 2 breakdowns are to be offered as a consequence of NUTS 3 being offered

Key variables Breakdowns 78	Key variables Breakdowns 78	Gross domestic product at market prices	Gross value added	Gross value added	Final consumption expenditure of households	Gross fixed capital formation	Gross fixed capital formation	Gross fixed capital formation	Compensation of employees	Employment	Employment	Gross national income	Net lending/net borrowing of the total economy
Key variables Breakdowns 78	Key variables Breakdowns 78	Variable B.1*g79 ; 80.	Variable B.1g79 ; 80	Variable B.1g79 ; 80	Variable P.31_S.1479 ; 80	Variable P.51g79 ; 80	Variable P.51g79 ; 80	Variable P.51g79 ; 80	Variable D.179 ; 80	Variable EMP79 ; 80	Variable EMP79 ; 80	Variable B.5g_S.179	Variable B.9_S.179
Key variables Breakdowns 78	Key variables Breakdowns 78	Current prices and volumes, derived growth rates and per capita	Current prices	Volumes	Current prices and volumes	Current prices	Current prices	Volumes	Current prices	Persons	Hours worked	Current prices, levels and per capita.	Balancing item
Industry	NACE Rev. 2		●	●	(No breakdowns)	●	●	●	●	●	●	(No breakdowns)	(No breakdowns)
Asset type	AN_F6				(No breakdowns)		●	●				(No breakdowns)	(No breakdowns)
Region	NUTS 2	⇓81	⇓			●			●	⇓	●
	NUTS 3	●81	●							●

Table 7

Specification for the quarterly National accounts – GDP main aggregates high-value dataset

Note: The breakdowns simultaneously indicated in a column should be offered for the crosstabulation of all variables involved.

Key variables Breakdowns 78	Key variables Breakdowns 78	Gross domestic product at market prices	Gross value added	Final consumption expenditure of households	Gross fixed capital formation	Compensation of employees	Employment
Key variables Breakdowns 78	Key variables Breakdowns 78	Variable B.1*g79 ; 80	Variable B.1g79 ; 80	Variable P.31_S.1479 ; 80	Variable P.51g79 ; 80	Variable D.179 ; 80	Variable EMP79 ; 80
Key variables Breakdowns 78	Key variables Breakdowns 78	Current prices and volumes, derived growth rates	Current prices and volumes	Current prices and volumes	Current prices and volumes	Current prices	Persons and hours worked
Industry	NACE Rev. 282	(No breakdowns)	●	(No breakdowns)		●	●
Asset type	AN_F6	(No breakdowns)		(No breakdowns)	●

Table 8

Specification for the yearly National accounts – key indicators on corporations high-value dataset

Key variables	Gross fixed capital formation of non-financial corporations	Gross operating surplus and mixed income of non-financial corporations	Total financial sector assets	Total financial sector liabilities	Net lending/net borrowing of non-financial and financial corporations
Key variables	Variable P.51g_S.1183	Variable 9B.2g & B3g)_S.1183	Variable F.A_S.1283	Variable F.L_S.1283	Variables B.9_S.1183 and B.9_S.1283
Key variables	Current prices	Current prices	Current prices, non-consolidated	Current prices, non-consolidated	Balancing item
Breakdowns	(No breakdowns for this high-value dataset)	(No breakdowns for this high-value dataset)	(No breakdowns for this high-value dataset)	(No breakdowns for this high-value dataset)	(No breakdowns for this high-value dataset)

Table 9

Specification for the yearly National accounts – key indicators on households high-value dataset

Key variables Breakdowns	Key variables Breakdowns	Disposable income of households – gross and net	Disposable income of households – gross and net	Gross fixed capital formation for households	Savings of households, gross	Total households sector assets	Total households sector liabilities	Net lending/net borrowing of households
Key variables Breakdowns	Key variables Breakdowns	Variables B.6g_S.1484 (gross) and B.6n_S.1484 (net)	Variables B.6g_S.1484 (gross) and B.6n_S.1484 (net)	Variable P.51g_S.1484	Variable B.8g_S.1484	Variable F.A_S.1484	Variable F.L_S1484	Variable B.9_S.1484
Key variables Breakdowns	Key variables Breakdowns	Current prices, derived in per-capita and real terms per capita	Current prices, derived in per-capita and real terms per capita	Current prices	Current prices	Current prices, non-consolidated	Current prices, non-consolidated	Balancing item. Current prices.
Key variables Breakdowns	Key variables Breakdowns	Gross disposable income	Net disposable income
Region	NUTS 2	(No breakdowns)	●	(No breakdowns)	(No breakdowns)	(No breakdowns)	(No breakdowns)	(No breakdowns)

Table 10

Specification for the yearly Government expenditure and revenue high-value dataset

Key variables Breakdowns	Key variables Breakdowns	Total general government revenue	Total expenditure	Net lending/ net borrowing of general government (B.9)
Key variables Breakdowns	Key variables Breakdowns	Defined in Regulation (EU) No 549/2013, Annex A, 8.100 and Chapter 20 by reference to a list of categories	Defined in Regulation (EU) No 549/2013, Annex A, 8.100 and Chapter 20 by reference to a list of categories	Balancing item of government revenue and expenditure
Dimension	Categories 85	Defined in Regulation (EU) No 549/2013, Annex A, 8.100 and Chapter 20 by reference to a list of categories	Defined in Regulation (EU) No 549/2013, Annex A, 8.100 and Chapter 20 by reference to a list of categories	Balancing item of government revenue and expenditure
Revenue category	— Market output — Output for own final use — Payments for non-market output — Taxes on production and imports — Other subsidies on production — Receivable property income — Current taxes on income, wealth, etc., — Net social contributions — Other current transfers and capital transfers	●		(No breakdowns for this key variable)
Expenditure category	— Intermediate consumption — Gross capital formation — Compensation of employees — Other taxes on production — Subsidies — Payable property income — Current taxes on income, wealth, etc. — Social benefits other than social transfers in kind — Social transfers in kind - purchased market production — Other current transfers — Adjustments for the change in pension entitlements — Capital transfers and acquisitions less disposals of non-financial non-produced assets		●	(No breakdowns for this key variable)

Table 11

Specification for the yearly Consolidated government gross debt high-value dataset

Key variable Breakdown	Key variable Breakdown	Government gross debt
Key variable Breakdown	Key variable Breakdown	Government debt is defined as the total consolidated gross debt at nominal value in the following categories of government liabilities (as defined in ESA 2010): currency and deposits (AF.2), debt securities (AF.3) and loans (AF.4).
Dimension	Categories 86	Government debt is defined as the total consolidated gross debt at nominal value in the following categories of government liabilities (as defined in ESA 2010): currency and deposits (AF.2), debt securities (AF.3) and loans (AF.4).
Government liability category	— Currency and deposits (AF.2) — Debt securities (AF.3) — Loans (AF.4)	●

Table 12

Specification for the quarterly Consolidated government gross debt high-value dataset

Key variable Breakdown	Key variable Breakdown	Government gross debt
Key variable Breakdown	Key variable Breakdown	Government debt is defined as the total consolidated gross debt at nominal value in the following categories of government liabilities (as defined in ESA 2010): currency and deposits (AF.2), debt securities (AF.3) and loans (AF.4).
Dimension	Categories 86	Government debt is defined as the total consolidated gross debt at nominal value in the following categories of government liabilities (as defined in ESA 2010): currency and deposits (AF.2), debt securities (AF.3) and loans (AF.4).
Government liability category	— Currency and deposits (AF.2) — Debt securities (AF.3) — Loans (AF.4)	●

Table 13

Specification for the yearly poverty rate high-value dataset

Note: The breakdowns simultaneously indicated in a column should be offered for the crosstabulation of all variables involved.

Legend for breakdowns: ● = mandatory, ○ = required for Member States that meet conditions set out in the relevant Regulation

Key variables Breakdowns	Key variables Breakdowns	Key variables Breakdowns	People at risk of poverty or social exclusion rate	People at risk of poverty or social exclusion rate	People at risk of poverty or social exclusion rate	People at risk of poverty or social exclusion rate	People at risk of poverty or social exclusion rate	People at risk of poverty or social exclusion rate	People at risk of poverty or social exclusion rate	At-risk-of-poverty rate	At-risk-of-poverty rate	At-risk-of-poverty rate	At-risk-of-poverty rate	At-risk-of-poverty rate	At-risk-of-poverty rate	At-risk-of-poverty rate	Severe material and social deprivation rate	Severe material and social deprivation rate	Severe material and social deprivation rate	Severe material and social deprivation rate	Severe material and social deprivation rate	Severe material and social deprivation rate	Severe material and social deprivation rate	Material and social deprivation rate	Material and social deprivation rate	Material and social deprivation rate	Material and social deprivation rate	Material and social deprivation rate	Material and social deprivation rate	Material and social deprivation rate	People living in households with very low work intensity	People living in households with very low work intensity	People living in households with very low work intensity	People living in households with very low work intensity	People living in households with very low work intensity	People living in households with very low work intensity	People living in households with very low work intensity
Key variables Breakdowns	Key variables Breakdowns	Key variables Breakdowns	Percentage of people at risk of poverty or in severe material and social deprivation or living in a household with very low work intensity	Percentage of people at risk of poverty or in severe material and social deprivation or living in a household with very low work intensity	Percentage of people at risk of poverty or in severe material and social deprivation or living in a household with very low work intensity	Percentage of people at risk of poverty or in severe material and social deprivation or living in a household with very low work intensity	Percentage of people at risk of poverty or in severe material and social deprivation or living in a household with very low work intensity	Percentage of people at risk of poverty or in severe material and social deprivation or living in a household with very low work intensity	Percentage of people at risk of poverty or in severe material and social deprivation or living in a household with very low work intensity	Percentage of people living in a household which equivalised disposable income is lower than 60% of the median equivalised national disposable income	Percentage of people living in a household which equivalised disposable income is lower than 60% of the median equivalised national disposable income	Percentage of people living in a household which equivalised disposable income is lower than 60% of the median equivalised national disposable income	Percentage of people living in a household which equivalised disposable income is lower than 60% of the median equivalised national disposable income	Percentage of people living in a household which equivalised disposable income is lower than 60% of the median equivalised national disposable income	Percentage of people living in a household which equivalised disposable income is lower than 60% of the median equivalised national disposable income	Percentage of people living in a household which equivalised disposable income is lower than 60% of the median equivalised national disposable income	Percentage of people living in a household that cannot afford at least 7 out of 13 items considered to be desirable or even necessary to lead an adequate life	Percentage of people living in a household that cannot afford at least 7 out of 13 items considered to be desirable or even necessary to lead an adequate life	Percentage of people living in a household that cannot afford at least 7 out of 13 items considered to be desirable or even necessary to lead an adequate life	Percentage of people living in a household that cannot afford at least 7 out of 13 items considered to be desirable or even necessary to lead an adequate life	Percentage of people living in a household that cannot afford at least 7 out of 13 items considered to be desirable or even necessary to lead an adequate life	Percentage of people living in a household that cannot afford at least 7 out of 13 items considered to be desirable or even necessary to lead an adequate life	Percentage of people living in a household that cannot afford at least 7 out of 13 items considered to be desirable or even necessary to lead an adequate life	Percentage of people at risk of poverty or in severe material and social deprivation or living in a household with very low work intensity	Percentage of people at risk of poverty or in severe material and social deprivation or living in a household with very low work intensity	Percentage of people at risk of poverty or in severe material and social deprivation or living in a household with very low work intensity	Percentage of people at risk of poverty or in severe material and social deprivation or living in a household with very low work intensity	Percentage of people at risk of poverty or in severe material and social deprivation or living in a household with very low work intensity	Percentage of people at risk of poverty or in severe material and social deprivation or living in a household with very low work intensity	Percentage of people at risk of poverty or in severe material and social deprivation or living in a household with very low work intensity	Percentage of people living in a household where the members of working age worked less than 20 % of their total potential during the previous year	Percentage of people living in a household where the members of working age worked less than 20 % of their total potential during the previous year	Percentage of people living in a household where the members of working age worked less than 20 % of their total potential during the previous year	Percentage of people living in a household where the members of working age worked less than 20 % of their total potential during the previous year	Percentage of people living in a household where the members of working age worked less than 20 % of their total potential during the previous year	Percentage of people living in a household where the members of working age worked less than 20 % of their total potential during the previous year	Percentage of people living in a household where the members of working age worked less than 20 % of their total potential during the previous year
Sex		Male/female	●							●							●							●							●
Age		0-17 18-64 64+	●							●							●							●							●
Education attainment level	ISCED 2011	— Less than primary (level 0) — Primary and lower secondary education (levels 1-2); — Upper secondary and post-secondary non-tertiary education (levels 3 and 4); — Tertiary education (levels 5-8)		●							●							●							●							●
Citizenship		National/EU/Non-EU			●							●							●							●							●
Country of birth		National/EU/Non-EU				●							●							●							●							●
Most frequent activity status		— Employed persons — Employees — Employed persons except employees — Not employed persons — Unemployed persons — Retired persons — Other inactive persons					●							●							●							●							●
Income quintile		1,2,3,4,5						●							●							●							●							●
NUTS 2									○							○							○							○							○

Table 14

Specification for the yearly inequality rate high-value dataset

Note: The breakdowns simultaneously indicated in a column should be offered for the crosstabulation of all variables involved.

Legend for breakdowns: ● = mandatory, ○ = required for Member States where this is feasible as set out in the relevant Regulation

Key variables Breakdowns	Key variables Breakdowns	Income quintile share ratio S80/S20	Income quintile share ratio S80/S20	Gini coefficient of equivalised disposable income
Key variables Breakdowns	Key variables Breakdowns	The ratio of total income received by the 20 % of the population with the highest income (top quintile) to that received by the 20 % of the population with the lowest income (lowest quintile)	The ratio of total income received by the 20 % of the population with the highest income (top quintile) to that received by the 20 % of the population with the lowest income (lowest quintile)	This variable measures the extent to which the distribution of equivalised disposable income after social transfers deviates from a perfectly equal distribution. It is a summary measure of the cumulative share of equivalised income accounted for by the cumulative percentages of the number of individuals. Its value ranges from 0 (complete equality) to 100 (complete inequality).
Sex	Male / female	●
Age	Less than 65 / More than 65	●		(No breakdowns available for this key variable)
Region	NUTS 2		○

Table 15

Specification for the yearly employment high-value dataset

Note: The breakdowns simultaneously indicated in a column should be offered for the crosstabulation of all variables involved.

Key variables Breakdowns	Key variables Breakdowns	Key variables Breakdowns	Employment rate of people aged 20 to 64	Employment rate of people aged 20 to 64	Employment rate of people aged 20 to 64	Employment rate of people aged 20 to 64	Employment rate of people aged 20 to 64	Employment rate of people aged 20 to 64	Percentage of part-time work of people aged 20 to 64	Percentage of part-time work of people aged 20 to 64	Percentage of part-time work of people aged 20 to 64
Sex		Male/female	●	●		●			●	●
Age		20-24 years, 25-29 years, 30-34 years, …, 55-64 years	●		●		●
		20-24 years, 25-54 years, 55-64 years							●		●
Education attainment level	ISCED 2011	— Less than primary (level 0) — Primary and lower secondary education (levels 1-2); — Upper secondary and post-secondary non-tertiary education (levels 3 and 4); — Tertiary education (levels 5-8)		●	●			●		●	●
Region	NUTS 2					●	●	●

Table 16

Specification for the quarterly employment high-value dataset

Note: The breakdowns simultaneously indicated in a column should be offered for the crosstabulation of all variables involved.

Key variables Breakdowns	Key variables Breakdowns	Key variables Breakdowns	Employment rate of people aged 20 to 64	Employment rate of people aged 20 to 64	Employment rate of people aged 20 to 64
Sex		Male/female	●	●
Age		20-24 years, 25-29 years, 30-34 years, …, 55-64 years	●		●
Education attainment level	ISCED 2011	— Less than primary (level 0) — Primary and lower secondary education (levels 1-2); — Upper secondary and post-secondary non-tertiary education (levels 3 and 4); — Tertiary education (levels 5-8)		●	●

Table 17

Specification for the yearly unemployment high-value dataset

Note: The breakdowns simultaneously indicated in a column should be offered for the crosstabulation of all variables involved.

Key variables Breakdowns	Key variables Breakdowns	Key variables Breakdowns	Unemployment rate of people aged 15 to 74	Unemployment rate of people aged 15 to 74	Unemployment rate of people aged 15 to 74	Unemployment rate of people aged 15 to 74	Unemployment rate of people aged 15 to 74	Unemployment rate of people aged 15 to 74	Long term unemployment rate of people aged 15 to 74	Long term unemployment rate of people aged 15 to 74	Long term unemployment rate of people aged 15 to 74
Sex		Male/female	●	●		●			●	●
Age		15-24 years, 25-54 years, 55-74 years	●		●		●		●		●
Education attainment level	ISCED 2011	— Less than primary (level 0) — Primary and lower secondary education (levels 1-2) — Upper secondary and post-secondary non-tertiary education (levels 3 and 4) — Tertiary education (levels 5-8)		●	●			●		●	●
Region	NUTS 2					●	●	●

Specification for the quarterly unemployment high-value dataset

Note: The breakdowns simultaneously indicated in a column should be offered for the crosstabulation of all variables involved.

Key variables Breakdowns	Key variables Breakdowns	Key variables Breakdowns	Unemployment rate of people aged 15 to 74	Unemployment rate of people aged 15 to 74	Unemployment rate of people aged 15 to 74	Long term unemployment rate of people aged 15 to 74	Long term unemployment rate of people aged 15 to 74	Long term unemployment rate of people aged 15 to 74
Sex		Male/female	●	●		●	●
Age		15-24 years, 25-54 years, 55-74 years	●		●	●		●
Education attainment level 87	ISCED 2011	— Less than primary (level 0) — Primary and lower secondary education (levels 1-2) — Upper secondary and post-secondary non-tertiary education (levels 3 and 4) — Tertiary education (levels 5-8)		●	●		●	●

Table 18

Specification for the yearly potential labour force high-value dataset

Note: The breakdowns simultaneously indicated in a column should be offered for the crosstabulation of all variables involved.