Comparative Urban Statistics

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Presentation transcript:

Comparative Urban Statistics Berthold Feldmann Eurostat Luxembourg berthold.feldmann@cec.eu.int 6/08/2001

Structure of my talk Very brief: the role of Eurostat Urban Audit pilot phase preparations for Urban Audit II The variables selection of cities spatial unit Next steps

Chapter 1 The Role of Eurostat 6/08/2001

Who is Eurostat ? is the statistical office of the European Union is part of the “Commission” is sited in Luxembourg employs around 600 people nearly all data collection in National Statistical Offices, not Eurostat

Our mission provide European institutions and the public at large with data for Community policies produce reliable, comparable and relevant statistics support the development of statistical systems in Member States and other countries Harmonise methodology

Content of the REGIO database (based on the NUTS classification) Population, migration Unemployment Regional Accounts Transport and Energy Tourism Education Health Agriculture Business statistics Labour Force Survey Science & Technology Environment

Territorial Nomenclature NUTS

Publications Statistics in Focus Regional Yearbook Classifications 12 pages for the media Regional Yearbook includes maps, commentaries, a CD-ROM Classifications in PDF format, free of charge Portrait of the Regions including all candidate countries Reference Guide explains the database, FAQ

Urban Statistics A new Challenge ! so far no data compilation for urban agglomerations at EU level mandatory: comparable across countries and across time growing demand at EU, national and local level

Urban Audit pilot phase Chapter 2 Urban Audit pilot phase 6/08/2001

1998: a new survey ? High costs of new surveys in money terms burden on surveyed institutions no specific legal base exists at Community level currently no friendly climate for new legislation Hence: the Urban Audit pilot phase Use existing data sets Only for a selection of cities Test feasibility within 1 year

The 58 cities (excluding London and Paris) Belgium Antwerp Brussels Denmark Copenhagen Germany Berlin Hamburg Munich Cologne Frankfurt Essen Stuttgart Leipzig Dresden Greece Athens Thessaloniki Patras Spain Madrid Barcelona Valencia Seville Saragossa Malaga France Marseilles Lyon Toulouse Nice Strasbourg Bordeaux Nantes Lille Ireland Dublin Cork Portugal Lisbon Oporto Braga Finland Helsinki Sweden Stockholm Gothenburg UK Birmingham Leeds Glasgow Bradford Liverpool Edinburgh Manchester Cardiff Italy Rome Milan Naples Turin Palermo Genoa Florence Bari Luxembourg Luxembourg Netherlands Amsterdam Rotterdam Austria Graz Vienna

Geographical Area 3 Levels : the administrative city = core spatial unit the “Wider Territorial Unit” to catch phenomena in the urban agglomeration including “hinterland” the sub-city level to measure inner urban disparities

Fields covered Population and nationality Household structure Labour market (incl. unemployment) Income and poverty Housing Health Crime Civic involvement Education and training Air and water quality Waste management Travel patterns Energy use Recreation and culture

The collected data set Nearly 500 basic variables collected, more than 100 indicators calculated Whenever possible data for 1981, 1991 and 1996 Problem: boundary changes over time affect validity Problem: definition of surveyed variables may change over time

The Urban Audit follow-up Chapter 3 The Urban Audit follow-up 6/08/2001

Improvement of all Quality Aspects The challenge: Improvement of all Quality Aspects Relevance: closer to users Comparability: harmonised definitions & involvement of NSOs Accuracy: check the results of pilot project Timeliness: data no more than 3 years old Coherence: definitions close to international standards Clarity: more stringent definition of variables

Evaluation of the pilot project Creation of a proper statistical database Thorough analysis of the variables of the pilot phase New classification of variables Decision on the new variable list with considerably fewer variables (300)

The new Structure (classification) 1. DEMOGRAPHY 1.1 Population 1.2 Nationality 1.3 Household Structure 2. SOCIAL ASPECTS 2.1 Housing 2.2 Health 2.3 Crime 3. ECONOMIC ASPECTS 3.1 Labour Market 3.2 Economic Activity 3.3 Income, Disparities and Poverty 4. CIVIC INVOLVEMENT 4.1 Civic Involvement 4.2 Local Administration 5. TRAINING AND EDUCATION 5.1 Education and Training (Provision) 5.2 Attainment of Educ. & Training 6. ENVIRONMENT 6.1 Climate/ Geography 6.2 Air Quality and Noise 6.3 Water 6.4 Waste Management 6.5 Land Use 6.6 Energy Use 7. TRAVEL AND TRANSPORT 8. INFORMATION SOCIETY 9. CULTURE AND RECREATION 9.1 Culture and Recreation 9.2 Tourism

Variables: decision criteria Keep important information Increase comparability Substantially reduce response burden i.e. Shorten the list Response rate sufficient?

Variables: the new approach

Selection of cities Specific focus on medium-sized cities (50 000 to 250 000 inhabitants) Enlarge slightly the choice of large agglomerations increase representativity across countries Candidate countries are invited to participate on a voluntary basis Data for cities of the candidate countries (especially their capitals) will enhance the representativeness Fine-tuning in bilateral negotiations

Medium-sized cities 62 million people (more than 17% of the EU population) live in medium-sized cities

The central spatial unit: The administrative city Administrative unit Commune / Municipality / Ward / Gemeinde In many countries equivalent to NUTS level 5 (LAU2) regions D: NUTS level 3; IRL, P, UK: NUTS level 4 (LAU1) Corresponds to the empowerment of the city administration Corresponds to spatial availability of data No change in Urban Audit II

The importance of measuring the urban agglomeration Industrial development Logistical needs / infrastructure Property prices Environmental impacts Commuting Development of new residential areas Work, education, specialised services Regional co-operation

An ‘ideal’ definition of the urban agglomeration ... Functional Urban Regions (FUR) Already in use in several Member States Functional definition: An integrated labour market An integrated housing market A business location area A common regional traffic system Common regional services Regional cooperation Currently no harmonised definition

… and a pragmatic solution NUTS level 3 regions Created for statistical purposes Generally based on administrative units Therefore, data availability good Reflect the urban regions relatively well NUTS level 4 (LAU1) regions Can be a better approximation than NUTS 3 Only defined in six Member States

The need for information on sub-city areas From Commission documents: “… information on intra city disparities indispensable for further political action” “… enable city authorities to gather precise information on possible ‘pockets of concern’ ” “… pinpoint major disparities in terms of social cohesion ”

Sub-city districts Pilot phase Urban Audit II average size 100 000 inhabitants only for half of the 58 Urban Audit cities very limited number of variables ‘poor’ and ‘prosperous’ district selected Urban Audit II average size 20 000 inhabitants for all selected cities very limited number of variables publication for all districts

Chapter 4 Next steps 6/08/2001

Urgent task Classify the variables into three categories (for each country) variable is at hand and can be transmitted variable is not available, but similar quantitative data is at hand, so that the variable can be estimated The required variable is not available and cannot be estimated. Hence, a fresh survey is necessary in order to obtain this variable

The challenge of co-operation Many partners involved DG REGIO Eurostat, incl. possibly a contractor National Statistical Offices the cities Quality is best fostered by intensive co-operation and partnership relations

Several levels of organisation European  central co-ordinator National  national co-ordinator City  (depends on local set-up)

Proposed set-up Commission Other national NSO co-ordinator EUROSTAT City Other source city National Statistical Office City Other source

Choice of national partners First choice: national statistical office as expert co-ordinator Subvention contracts So far agreed: BE, DE, GR, FR, IRL, IT, LU, NL, AU, FIN, SE, UK For those countries where national statistical office does not want to be the network partner: open call for tender excludes national statistical office

Task of national partner The national co-ordinator of the Urban Audit should have a constant exchange of information with the Urban Audit II cities remind the cities to send data organise the data flow within the country ensure the comparability of the supplied data give methodological advice to the cities transmit all the data to Eurostat

Conclusion Urban statistics are a growing priority for Commission policy Data are required for early 2003 for EU cohesion report Integration into next regional fund program is currently discussed