|
For any question on data and metadata, please contact: Eurostat user support |
|
|||
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 |
|
|||
2.1. Metadata last certified | 25/10/2023 | ||
2.2. Metadata last posted | 25/10/2023 | ||
2.3. Metadata last update | 25/10/2023 |
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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. |
|
|||
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. |
|
|||
Data collected for the "Data collection for sub-national statistics" project cover the reference years 2022. |
|
|||
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. |
|
|||
7.1. 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 | |||
Not applicable. |
|||
8.2. Release calendar access | |||
Not applicable. |
|||
8.3. Release policy - user access | |||
Not applicable. |
|
|||
Not applicable. |
|
|||
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. |
|
|||
11.1. 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. |
|
|||
12.1. 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. |
|
|||
13.1. Accuracy - overall | |||
Not applicable. |
|||
13.2. Sampling error | |||
Not applicable. |
|||
13.3. Non-sampling error | |||
Not applicable. |
|
|||
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. |
|
|||
15.1. 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. |
|
|||
The data collection is mostly based on data available in the National Statistical System. Very limited amount of data is received from other organizations. |
|
|||
17.1. Data revision - policy | |||
Not applicable. |
|||
17.2. Data revision - practice | |||
Not applicable. |
|
|||
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. |
|
|||
None. |
|
|||
|
|||