City statistics (urb)

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Hungarian Central Statistical Office


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



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1. Contact Top
1.1. Contact organisation

Hungarian Central Statistical Office

1.2. Contact organisation unit

Multi-domain Statistics Department

1.5. Contact mail address Restricted from publication


2. Metadata update Top
2.1. Metadata last certified 25/10/2023
2.2. Metadata last posted 25/10/2023
2.3. Metadata last update 25/10/2023


3. Statistical presentation Top
3.1. Data description

The data collection provides information and comparable measurements on the different aspects of the quality of urban life in cities.

3.2. Classification system

Specific classification and coding systems have been developed for the spatial units and for the variables and indicators of the Urban Audit project.

Classification system for the spatial units

The city code consists of a 2-digit country code, a 3-digit city code and a final C for Central City - for FUA an F is used.

Classification system for the UA variables

A variable is the raw 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.

Classification system for the UA indicators

Indicators are labelled in a similar way to variables, except that the names end with an I to identify them as indicators.

For examples on these classifications please refer to the UA reference metadata.

 

Hungarian Central Statistical Office is sending data for 19 cities which is mentioned below.

 

Table 1 Basic data of cities participated in the data collection

New City code City name New FUA code Number of municipalities in the FUA
HU001C Budapest HU001F 199
HU002C Miskolc HU002F 80
HU003C Nyíregyháza HU003F 43
HU004C Pécs HU004F 134
HU005C Debrecen HU005F 26
HU006C Szeged HU006F 27
HU007C Győr HU007F 93
HU008C Kecskemét HU008F 24
HU009C Székesfehérvár HU009F 70
HU010C Szombathely HU010F 86
HU011C Szolnok HU011F 25
HU012C Tatabánya HU012F 20
HU013C Veszprém HU013F 51
HU014C Békéscsaba HU014F 15
HU015C Kaposvár HU015F 75
HU016C Eger HU016F 37
HU017C Dunaújváros HU017F 14
HU018C Zalaegerszeg HU018F 109
HU019C Sopron HU019F 33
3.3. Coverage - sector

The indicators and variables cover several aspects of quality of life, for e.g. demography, nationality, housing, health, crime, labour market, income disparity, local administration, educational qualifications, environment, travel patterns, education and training provision, economic activity

For the complete list of indicators and variables see the Urban Audit Reference Metadata.

3.4. Statistical concepts and definitions

For most of the indicators, existing international standards have been followed as far as possible.

Detailed information on concepts and definitions used are available from the City statistics manual.

3.5. Statistical unit

For the complete description of variables and statistical units, see the City statistics manual.

3.6. Statistical population

In the Urban Audit data is collected for cities and functional urban areas. Detailed information on definitions used are available from the City statistics manual.

3.7. Reference area

Cities: Budapest, Miskolc, Nyíregyháza, Pécs, Debrecen, Szeged, Győr, Kecskemét, Székesfehérvár, Szombathely, Szolnok, Tatabánya, Veszprém, Békéscsaba, Kaposvár, Eger, Dunaújváros, Zalaegerszeg and Sopron.

 

3.8. Coverage - Time

2022.

3.9. Base period

Not applicable.


4. Unit of measure Top

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.


5. Reference Period Top

Data collected for the "Data collection for sub-national statistics" project cover the reference years 2022.


6. Institutional Mandate Top
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 http://eur-lex.europa.eu/en/index.htm.

6.2. Institutional Mandate - data sharing

Not applicable.


7. Confidentiality Top
7.1. Confidentiality - policy

Regulation (EC) No 223/2009 on European statistics (recital 24 and Article 20(4)) of 11 March 2009 (OJ L 87, p. 164), stipulates the need to establish common principles and guidelines ensuring the confidentiality of data used for the production of European statistics and the access to those confidential data with due account for technical developments and the requirements of users in a democratic society.

7.2. Confidentiality - data treatment

Not applicable.


8. Release policy Top
8.1. Release calendar

Not applicable.

8.2. Release calendar access

Not applicable.

8.3. Release policy - user access

Not applicable.


9. Frequency of dissemination Top

Not applicable.


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

Not applicable.

10.2. Dissemination format - Publications

Not applicable.

10.3. Dissemination format - online database

Not applicable.

10.4. Dissemination format - microdata access

Not applicable.

10.5. Dissemination format - other

Not applicable.

10.6. Documentation on methodology

For most variables the definitions given in the City statistics manual have been followed. For detailed information about the deviations in the methodology will be found in the Final report of the project.

10.7. Quality management - documentation

The quality assurance procedures described in the City statistics manual have been applied. The complete set of validation rules has been observed.


11. Quality management Top
11.1. Quality assurance

The quality of statistical information and its production process is ensured by the provisions of the European Statistics Code of Practice.

11.2. Quality management - assessment

The quality of data is fully assessed using internal validation procedures and Eurostat’s validation methods.


12. Relevance Top
12.1. Relevance - User Needs

Not applicable.

12.2. Relevance - User Satisfaction

Not applicable.

12.3. Completeness

Data availability differs from domain to domain. Missing data will be presented by variable code, spatial level and reference year in the Final report of the project.


13. Accuracy Top
13.1. Accuracy - overall

Not applicable.

13.2. Sampling error

Not applicable.

13.3. Non-sampling error

Not applicable.


14. Timeliness and punctuality Top
14.1. Timeliness

Data collected for the reference years 2022. The first Eurostat releases of Hungarian city data in most cases are less than T+24 months.

14.2. Punctuality

The punctuality was adequate.


15. Coherence and comparability Top
15.1. Comparability - geographical

Due to some deviating definitions and different data sources used, the comparability of data is limited to some extent. Detailed information on data sources and deviating definitions will be available in the Final report of the project.

15.2. Comparability - over time

Most of the data are comparable over time. A break in time series was indicated for Demographic indicators due to the 2011 census. Population figures are comparable, from reference year 2011.

15.3. Coherence - cross domain

The same data are used in national dissemination.

15.4. Coherence - internal

Internal coherence (e.g. between spatial levels, between indicators such as total, male, female population) is ensured through the application of multivariable and univariate validation controls.


16. Cost and Burden Top

The data collection is mostly based on data available in the National Statistical System. Very limited amount of data is received from other organizations.


17. Data revision Top
17.1. Data revision - policy

Not applicable.

17.2. Data revision - practice

Not applicable.


18. Statistical processing Top
18.1. Source data

Most data are coming from census, statistical and administrative registers or exhaustive data collections.

18.2. Frequency of data collection

Annual.

18.3. Data collection

Not applicable.

18.4. Data validation

Data validation contained arithmetical, logical and qualitative checking. The aggregate data of the current year were compared with the final results of the previous periods, other surveys carried out by HCSO and administrative data. Data validation also covered the detection of divergent values and (if any) significant changes in the patterns, checking of correlation among possible interfaces. Missing values of statistical indicators were recorded, wrong – corrected.

18.5. Data compilation

Estimations were used in case of some variables. In most cases the data was compliled from statistical registers.

18.6. Adjustment

Not applicable.


19. Comment Top

None.


Related metadata Top


Annexes Top