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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | Eurostat, the Statistical Office of the European Union |
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1.2. Contact organisation unit | E4: Regional statistics and geographical information |
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1.5. Contact mail address | 2920 Luxembourg LUXEMBOURG |
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2.1. Metadata last certified | 08/04/2024 | ||
2.2. Metadata last posted | 08/04/2024 | ||
2.3. Metadata last update | 08/04/2024 |
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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:
Population on 1 January by age groups and sex - cities and greater cities (urb_cpop1) Living conditions - cities and greater cities (urb_clivcon) Education - cities and greater cities (urb_ceduc) Culture and tourism - cities and greater cities (urb_ctour) Functional Urban Area (urb_luz) Population on 1 January by age groups and sex - Functional Urban Area (urb_lpop1) Data has been collected on two spatial levels in the Urban Audit:
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3.2. Classification system | ||||||||||||||||||||||||||||||||||
Specific classification and coding systems have been developed for the spatial units and for the variables and indicators.
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:
Indicators are labeled in a similar way to variables, except that the names end with an I to identify them as indicators:
Example:
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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. |
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3.4. Statistical concepts and definitions | ||||||||||||||||||||||||||||||||||
For most of the indicators, existing international standards have been followed as far as possible. |
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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. |
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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. |
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3.7. Reference area | ||||||||||||||||||||||||||||||||||
EU Member States, UK, Iceland, Switzerland, Norway and Turkey are represented in the data collection. |
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3.8. Coverage - Time | ||||||||||||||||||||||||||||||||||
Data are available starting with the reference year 1990. |
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3.9. Base period | ||||||||||||||||||||||||||||||||||
Not applicable. |
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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. |
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Not applicable. |
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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. |
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6.2. Institutional Mandate - data sharing | |||
Not applicable. |
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7.1. Confidentiality - policy | |||
Regulation (EC) No 223/2009 on European statistics (recital 24 and Article 20(4)) of 11 March 2009 (OJ L 87, p. 164), stipulates the need to establish common principles and guidelines ensuring the confidentiality of data used for the production of European statistics and the access to those confidential data with due account for technical developments and the requirements of users in a democratic society. |
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7.2. Confidentiality - data treatment | |||
Not applicable. |
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8.1. Release calendar | |||
There is no fixed release calendar. Data are released as soon as they are received and validated. |
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8.2. Release calendar access | |||
Not applicable. |
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8.3. Release policy - user access | |||
In line with the Community legal framework and the European Statistics Code of Practice Eurostat disseminates European statistics on Eurostat's website respecting professional independence and in an objective, professional and transparent manner in which all users are treated equitably. The detailed arrangements are governed by the Eurostat protocol on impartial access to Eurostat data for users. |
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The database is updated continually, depending on the data availability of new and revised data. |
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10.1. Dissemination format - News release | |||
There are ad-hoc news releases. |
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10.2. Dissemination format - Publications | |||
Eurostat regional yearbook 2023 The Eighth Report on Economic, Social and Territorial Cohesion Urban Europe - Statistics on cities, towns and suburbs (2016) |
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10.3. Dissemination format - online database | |||
Please consult free data on-line. |
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10.4. Dissemination format - microdata access | |||
Not applicable. |
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10.5. Dissemination format - other | |||
Please see the dedicated section on Eurostat's website: |
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10.6. Documentation on methodology | |||
See: |
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10.7. Quality management - documentation | |||
Quality is assessed on a regular basis. The assessment is summarized in reports. |
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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. |
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11.2. Quality management - assessment | |||
Quality is assessed on a regular basis. The assessment is summarized in reports. |
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12.1. Relevance - User Needs | |||
User needs and stakeholder requirements are collected at several forums. |
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12.2. Relevance - User Satisfaction | |||
User feedback is collected at several forums. |
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12.3. Completeness | |||
Data availability differs from domain to domain. |
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13.1. Accuracy - overall | |||
Not applicable. |
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13.2. Sampling error | |||
Not applicable. |
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13.3. Non-sampling error | |||
Not applicable. |
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14.1. Timeliness | |||
Depends on the domain and individual variable. As a general rule, timeliness is about 9 months. |
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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. |
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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. |
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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. |
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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. |
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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. |
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The data collection is based on administrative data so the main burden is on the Statistical Institutes. |
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17.1. Data revision - policy | |||
The general Eurostat revision policy applies to this domain |
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17.2. Data revision - practice | |||
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. |
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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. Annexes: Variable list |
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18.2. Frequency of data collection | |||
Data is collected annually, but many indicators are only available for census years. |
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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. |
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18.4. Data validation | |||
For a complete description of the data validation see annex. Different data checks are done before publication:
Annexes: Validation rules |
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18.5. Data compilation | |||
National Statistical Offices compile the data (variables). The indicator calculation is done by Eurostat and includes:
The list of indicators and the calculation is included in the annex. Annexes: Indicator list |
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18.6. Adjustment | |||
Not applicable. No adjustments are implemented. |
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To facilitate understanding of the data, the flags that are used in the metadata are shown below. Restrictions concerning the data: B Break in time series C Confidential data D Definition differs, see metadata E Estimated F Forecast P Provisional data U Low reliabilty
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List of Cities/FUAs 2022 |
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