Reference metadata describe statistical concepts and methodologies used for the collection and generation of data. They provide information on data quality and, since they are strongly content-oriented, assist users in interpreting the data. Reference metadata, unlike structural metadata, can be decoupled from the data.
Eurostat, the Statistical Office of the European Union
1.2. Contact organisation unit
E4: Regional statistics and geographical information
1.3. Contact name
Confidential because of GDPR
1.4. Contact person function
Confidential because of GDPR
1.5. Contact mail address
2920 Luxembourg LUXEMBOURG
1.6. Contact email address
Confidential because of GDPR
1.7. Contact phone number
Confidential because of GDPR
1.8. Contact fax number
Confidential because of GDPR
2.1. Metadata last certified
8 April 2024
2.2. Metadata last posted
8 April 2024
2.3. Metadata last update
8 April 2024
3.1. Data description
Data on European cities were collected in the Urban Audit and in the Large City Audit project. The projects' ultimate goal is to contribute towards the improvement of the quality of urban life: it supports the exchange of experience among European cities; it helps to identify best practices; it facilitates benchmarking at the European level and provides information on the dynamics within the cities and with their surroundings.
At the city level, the Urban Audit contains more than 130 variables and more than 50 indicators. These indicators are derived from the variables collected by the European Statistical System.
The data is published in 20 tables within 2 main groups, plus a perception survey table:
Cities and greater cities (urb_cgc)
Population on 1 January by age groups and sex - cities and greater cities (urb_cpop1) Population structure - cities and greater cities (urb_cpopstr) Population by citizenship and country of birth - cities and greater cities (urb_cpopcb) Fertility and mortality - cities and greater cities (urb_cfermor)
Living conditions - cities and greater cities (urb_clivcon)
Education - cities and greater cities (urb_ceduc)
Culture and tourism - cities and greater cities (urb_ctour) Labour market - cities and greater cities (urb_clma) Economy and finance - cities and greater cities (urb_cecfi) Transport - cities and greater cities (urb_ctran) Environment - cities and greater cities (urb_cenv)
Functional Urban Area (urb_luz)
Population on 1 January by age groups and sex - Functional Urban Area (urb_lpop1) Population structure - Functional Urban Area (urb_lpopstr) Population by citizenship and country of birth - Functional Urban Area (urb_lpopcb) Fertility and mortality - Functional Urban Area (urb_lfermor) Living conditions - Functional Urban Area (urb_llivcon) Education - Functional Urban Area (urb_leduc) Labour market - Functional Urban Area (urb_llma) Transport - Functional Urban Area (urb_ltran) Environment - Functional Urban Area (urb_lenv) Perception survey results (urb_percep)
Data has been collected on two spatial levels in the Urban Audit:
The City (C) according to the administrative definition, as the basic level,
The Functional Urban Area (FUA) being an approximation of the functional urban zone centered around the city
3.2. Classification system
Specific classification and coding systems have been developed for the spatial units and for the variables and indicators.
Classification system for variables:
A variable is the data collected by the national statistical offices of the countries. The variable data serves as the raw data for the calculation of the indicators. The variables serve as either the numerator or denominator of the indicator equation, depending on how this has been defined. Variables are labeled as follows:
Variable DE1040V - "Population on the 1st of January, 0-4 years, total"
Domain code
DE
Number
DE1040
V (for variable)
DE1040V
Classification system for indicators:
Indicators are labeled in a similar way to variables, except that the names end with an I to identify them as indicators:
Indicator DE1040I - "Proportion of population aged 0-4 years"
Domain code
DE
Number
DE1040
I (for indicator)
DE1040I
Classification system for the spatial units
CC
2-digit Country Code
xxx
3-digit city code
C, F
Version numbers for City (C) or FUA (F)
Example:
Spatial Unit
Code
Name
Country
BE
Belgium
FUA
BE001F
Brussels
City
BE001C
Brussels
3.3. Coverage - sector
The indicators and variables cover several aspects of quality of life, e.g., demography, housing, health, economic activity, labour market, income disparity, educational qualifications, environment, climate, travel patterns, tourism and cultural infrastructure.
3.4. Statistical concepts and definitions
For most of the indicators, existing international standards have been followed as far as possible.
3.5. Statistical unit
Da is collected for cities.
The OECD and the European Commission developed a new harmonised definition of a city and its commuting zone in 2011. This new OECD-EC definition identified almost 1000 cities with an urban centre of at least 50000 inhabitants.
3.6. Statistical population
For most variables the target statistical universe is the usual residents of a geographical area (city). For the detailed description of variables see the Methodological Manual on territorial typologies.
3.7. Reference area
EU Member States, UK, Iceland, Switzerland, Norway and Turkey are represented in the data collection.
3.8. Coverage - Time
Data are available starting with the reference year 1990.
3.9. Base period
Not applicable.
The unit of measurement varies from indicator to indicator; from variable to variable. In most cases the unit of measurement is included in the label.
Not applicable.
6.1. Institutional Mandate - legal acts and other agreements
All data supply of urban statistics is based on a voluntary agreement, as there is no Community legislation yet on this topic.
The legal framework for the geo-spatial definitions is the TERCET Regulation.
6.2. Institutional Mandate - data sharing
Not applicable.
7.1. Confidentiality - policy
Regulation (EC) No 223/2009 on European statistics (recital 24 and Article 20(4)) of 11 March 2009 (OJ L 87, p. 164), stipulates the need to establish common principles and guidelines ensuring the confidentiality of data used for the production of European statistics and the access to those confidential data with due account for technical developments and the requirements of users in a democratic society.
7.2. Confidentiality - data treatment
Not applicable.
8.1. Release calendar
There is no fixed release calendar.
Data are released as soon as they are received and validated.
Quality is assessed on a regular basis. The assessment is summarized in reports.
11.1. Quality assurance
In order to assure a high data quality, existing validation procedures have been analysed and adapted to recent standards. A complete set of validation rules have been developed.
11.2. Quality management - assessment
Quality is assessed on a regular basis. The assessment is summarized in reports.
12.1. Relevance - User Needs
User needs and stakeholder requirements are collected at several forums.
12.2. Relevance - User Satisfaction
User feedback is collected at several forums.
12.3. Completeness
Data availability differs from domain to domain.
13.1. Accuracy - overall
Not applicable.
13.2. Sampling error
Not applicable.
13.3. Non-sampling error
Not applicable.
14.1. Timeliness
Depends on the domain and individual variable. As a general rule, timeliness is about 9 months.
14.2. Punctuality
In some cases a time lag between the actual delivery of the data and the target date when it should have been delivered occurs. There are no legal deadlines to deliver the data.
15.1. Comparability - geographical
The legal framework (Tercet Regulation) ensures the geographical comparability (definition of spatial units).
Due to the sometimes deviating definitions of variables and different data sources used the comparability of data could be limited to some extent.
15.2. Comparability - over time
From the 2011 data collection the comparability over time has improved due to the use of the new city definition.
15.3. Coherence - cross domain
Data collected at sub-national level is coherent with the data collected at national level to a limited extent due to the different data sources used.
15.4. Coherence - internal
Internal coherence (e.g. between spatial levels, between indicators like total, male, female population) is ensured through the application of multivariate and univariate validation controls.
The data collection is based on administrative data so the main burden is on the Statistical Institutes.
The revision practice effectively corresponds to the revision practice of the domain listed under sub‑concept 17.1 (data revision – policy).
All reported errors (once validated) result in corrections of the disseminated data.
Reported errors are corrected in the disseminated data as soon as the correct data have been validated. Data may be published even if they are missing for certain data providers or flagged as provisional or of low reliability for certain data providers. They are replaced with final data once transmitted and validated
Whenever new data are provided and validated, the already disseminated data are updated
In case of changes in the methodology used by the countries, data revisions might be sent to Eurostat.
18.1. Source data
Data is collected by National (or Regional) Statistical Offices, by the cities or by other national or local authorities. In most cases, data has been obtained from censuses, different administrative and statistical registers, national and local databases in the individual cities and sample basis.
In some cases, data has been obtained from a sample survey. Some variables have been estimated. Most indicators have been calculated by Eurostat. A small subset of variables are collected by other DGs and agencies (DG Regio, European Environment Agency) and are shared with Eurostat.
Data is collected annually, but many indicators are only available for census years.
18.3. Data collection
Data has been collected by the National Urban Audit Coordinators (NUACs), one in each country, on behalf of Eurostat. The NUACs have collected data from available sources in the national statistical office, other state agencies or ministries, from the cities concerned or from private sources. Some data has been estimated by the NUACs.
18.4. Data validation
For a complete description of the data validation see annex.
Different data checks are done before publication:
Type check: Data fields designed for numbers can only accept numbers.
Length check: Data fields contain allowed length of data, e.g. country code is 2 characters.
Presence check: Controls that all data fields are present.
Uniqueness checks: Controls that certain fields do not take duplicate values.
Code list check: Only defined variables and geographical codes are accepted.
Consistency checks: Values of related variables must be consistent.
Range check: Values should be within a defined range.
Balance check: Sum of values for subgroups should be equal to the total, e.g. male + female = total
Spatial level control check: Comparison of geographical aggregates at different levels, e.g. value for FUA should be higher than value for the City.
Time series check: Finds unusual evolution over time.
Data on European cities were collected in the Urban Audit and in the Large City Audit project. The projects' ultimate goal is to contribute towards the improvement of the quality of urban life: it supports the exchange of experience among European cities; it helps to identify best practices; it facilitates benchmarking at the European level and provides information on the dynamics within the cities and with their surroundings.
At the city level, the Urban Audit contains more than 130 variables and more than 50 indicators. These indicators are derived from the variables collected by the European Statistical System.
The data is published in 20 tables within 2 main groups, plus a perception survey table:
Cities and greater cities (urb_cgc)
Population on 1 January by age groups and sex - cities and greater cities (urb_cpop1) Population structure - cities and greater cities (urb_cpopstr) Population by citizenship and country of birth - cities and greater cities (urb_cpopcb) Fertility and mortality - cities and greater cities (urb_cfermor)
Living conditions - cities and greater cities (urb_clivcon)
Education - cities and greater cities (urb_ceduc)
Culture and tourism - cities and greater cities (urb_ctour) Labour market - cities and greater cities (urb_clma) Economy and finance - cities and greater cities (urb_cecfi) Transport - cities and greater cities (urb_ctran) Environment - cities and greater cities (urb_cenv)
Functional Urban Area (urb_luz)
Population on 1 January by age groups and sex - Functional Urban Area (urb_lpop1) Population structure - Functional Urban Area (urb_lpopstr) Population by citizenship and country of birth - Functional Urban Area (urb_lpopcb) Fertility and mortality - Functional Urban Area (urb_lfermor) Living conditions - Functional Urban Area (urb_llivcon) Education - Functional Urban Area (urb_leduc) Labour market - Functional Urban Area (urb_llma) Transport - Functional Urban Area (urb_ltran) Environment - Functional Urban Area (urb_lenv) Perception survey results (urb_percep)
Data has been collected on two spatial levels in the Urban Audit:
The City (C) according to the administrative definition, as the basic level,
The Functional Urban Area (FUA) being an approximation of the functional urban zone centered around the city
8 April 2024
For most of the indicators, existing international standards have been followed as far as possible.
Da is collected for cities.
The OECD and the European Commission developed a new harmonised definition of a city and its commuting zone in 2011. This new OECD-EC definition identified almost 1000 cities with an urban centre of at least 50000 inhabitants.
For most variables the target statistical universe is the usual residents of a geographical area (city). For the detailed description of variables see the Methodological Manual on territorial typologies.
EU Member States, UK, Iceland, Switzerland, Norway and Turkey are represented in the data collection.
Not applicable.
Not applicable.
The unit of measurement varies from indicator to indicator; from variable to variable. In most cases the unit of measurement is included in the label.
National Statistical Offices compile the data (variables).
The indicator calculation is done by Eurostat and includes:
Calculation of ratios - example: Demographic dependency
The list of indicators and the calculation is included in the annex.
Data is collected by National (or Regional) Statistical Offices, by the cities or by other national or local authorities. In most cases, data has been obtained from censuses, different administrative and statistical registers, national and local databases in the individual cities and sample basis.
In some cases, data has been obtained from a sample survey. Some variables have been estimated. Most indicators have been calculated by Eurostat. A small subset of variables are collected by other DGs and agencies (DG Regio, European Environment Agency) and are shared with Eurostat.
