Hungarian Central Statistical Office Dissemination Department URBAN AUDIT III. FINAL REPORT

Transcription

1 Hungarian entral Statistical Office Dissemination Department URBAN AUDIT III. FINAL REPORT

2 Table of contents I. Introduction... 3 II. Overview... 3 III. Spatial units... 4 IV. Data collection... 5 a. Demography... 5 b. Social aspects... 6 c. Economic indicators... 7 d. ivic involvement... 8 e. Education... 8 f. Environment... 9 g. Travel patterns h. Information technology i. ulture and tourism V. Methods of estimations and data sources i. Annex ii. Annex iii. Annex

3 I. Introduction With other EU member and EU candidate coutries Hungary join to Urban Audit III project in spring of The project organized by the Eurostat and DG Regio. We attempt to introduce our work action in the phase III of Urban Audit project. II. Overview The president of Hungarian entral Statistical Office was adjured for the cooperation in project Urban Audit by Mr. Roger ubitt in his letter dated to March 15.. The HSO undertook collecting data for five other cities (Kecskemét, Szeged, Gyır, Székesfehérvár, Debrecen) beside those four cities which were participating in the earlier phases. The HSO stated the willingness for cooperation in 31. of March 2006., and undertook the challenge of the new data collection. Delay of singing of the contract created special circumstances for us, because we had to began our data collection before the contract has come into force. The contract finally singed by the Eurostat on the 6 th of December and by the HSO on the 12 th of December 2006., much later than the data collection began ( 1 st of August 2006.). In our work programme we defined our future tasks, working methods, deadlines by the help of a working group. We tried to make contact with the concerned local governments and other institutes, to help our data collection. The working group also tried to review our databases, in order to find which variables are available for defined spatial units. Timing of the working process accorded to the deadlines we stated in the Grant Agreement (see Annex): Date of first data provision was 1 st of December Themes: 1.1 Population 1.2 Nationality 4.1 ivic involvement 4.2 Local administration Date of second data provision was 1 st of March Themes: 1.3 Household structure 2.1 Housing 2.2 Health 2.3 rime 3.1 Labour market 3.3 Income disparities and poverty 7.1 Travel patterns 8.1 Users & infrastructure 8.2 Local e-government 8.3 IT sector 9.1 ulture and recreation 9.2 Tourism Beside these variables we also sent the maps of concerned spatial units. Date of third data provision was 1 st of June Economic activity 5.1 Education and training provision 5.2 Educational qualifications 6.1 limate / geography 6.2 Air quality and noise 6.3 Water 6.4 Waste management 6.5 Land use 6.6 Energy use We also sent an amendment for our data collection on the 30 th of July in order to fill gaps in the database. In case of first data sent the format of our files was not fit for the required forms, so we revised our files and sent it again in the right format. Beside the new phase of data collection we also reviewed and made proposals for the Urban Audit Reference Guide, which was prepared for the latest data collection. The quality check of variables delayed in connection 3

4 with some technical problems of the Eurostat. The planned deadline of quality checking is the 15 th of January III. Spatial units Problems about delimitation of spatial units and borders of newcomer cities LUZ s and SD s had solved before the agreement came into force. Delimitaion problems occurred in case of Pécs and Nyíregyháza, but after short discussions we came to an arrangement. In accordance with these discussions we didn t resized borders of the LUZ of Pécs. ore city code Basic data of cities participated in Urban Audit LUZ ities Settle-ments Resident population Area, hectares Population ensus held in 2001 HU001 Budapest HU002 Miskolc HU003 Nyíregyháza HU004 Pécs HU005 Debrecen HU006 Szeged HU007 Gyır HU008 Kecskemét HU009 Székesfehérvár Sub-ity Districts of newcomer cities ITY/SD ode SD Name ITY/SD ode SD Name Debrecen Gyır HU005D00001 Városmag HU007D00001 Bácsa HU005D00002 Hagyományos beépítéső belsı lakóterület HU007D00002 Belváros (városközpont) HU005D00003 Villanegyedek HU007D00003 Gyárváros HU005D00004 Nyugati lakótelepek HU007D00004 Gyırszentiván HU005D00005 Északi lakótelepek HU007D00005 Marcalváros HU005D00006 Keleti lakótelepek HU007D00006 Ménfıcsanak HU005D00007 Kertváros HU007D00007 Nádorváros HU005D00008 Keleti kertségi övezet HU007D00008 Révfalu HU005D00009 Déli kertségi övezet HU007D00009 Szabadhegy HU005D00010 Egyéb központi belterület HU Sziget-Újváros HU005D00011 Józsa Kecskemét HU005D00012 Egyéb belterület és külterület HU008D00001 Városközpont Szeged HU008D00002 Nyugati városrész HU005D00004 Tarján HU008D00003 Déli városrész HU006D00001 Belváros (városközpont) HU008D00004 Északi városrész HU006D00002 Rókus-Felsıváros HU008D00005 Széchenyiváros HU006D00003 Móraváros-Alsóváros HU008D00006 Külterület és egyéb belterület HU006D00005 Északi lakótelepek Székesfehérvár HU006D00006 Baktó-Petıfitelep-Tápé HU009D00001 Történelmi belváros HU006D00007 Nyugati városrész HU009D00002 Palotaváros-Szedreskert HU006D00008 Déli városrész HU009D00003 Víziváros HU006D00009 Odessza HU009D00004 Tóváros-Vasút és környéke HU006D00010 Újszeged HU009D00005 Ráchegy-Búrtelep HU006D00011 Szıreg HU009D00006 Öreghegy HU009D00007 Felsıváros-Almássy telep HU009D00008 Alsóváros-Maroshegy-Feketehegy 4

5 IV. Data collection a. Demography We compiled demographic indicators for the year 2005, on the basis of microcensus data. This allowed us to send detailed information about Hungarian cities. This was a wherein 2 percent of the population and houses were ed. Accordingly this not suited to provide detailed information about Sub-ity Districts (except Budapest, where the allowed us to compile these data for SD1). For variables listed below, we wasn t able to serve data, because the questionnaire of microcensus didn t contains questions about these variables. And there is no other data collection, which contains these variables in Hungary. ode Missing variables in theme demography Name of variable DE2005V Residents who are not EU Nationals, coming from countries with high HDI DE2006V Residents who are not EU Nationals, coming from countries with a medium or low HDI DE2004V Nationals born abroad DE3012V Nationals that have moved into the city during the last two years DE3013V EU Nationals that have moved into the city during the last two years (stock) DE3014V Non-EU Nationals that have moved into the city during the last two years (stock) DE3015V Number of "moves" into the city during the last two years (flow) DE3016V Number of "moves" out of the city during the last two years (flow) Availability of variables in theme demography Required Avaliable ountry LUZ ity SD 5

6 b. Social aspects Some of these variables were also missing in the last data collection phase. The reason is in some cases the unique rule of law, the problems of registers, and in other cases the lack of statistical s. There is no reliable data for variable SA2027 and SA2028. In Hungary the Medical hamber registering the practicing physicians, but the registration doesn t erased automatically when the physician discontinue his practice. The problem of homelessness is not in the focus of Hungarian. There were some attempts in the past to their number, but none of them finished with success. SA1016 and SA1023 were also missing for LUZ, because our database contains data for only cities and counties. Our database about the price of housing is based on the land register. ode Missing variables in theme social aspects Name of variable SA1004V Number of houses SA1027V Number of roofless persons SA1019V Average occupancy per occupied dwelling SA1049V Average annual rent for housing per m2 SA1048V Number of dwellings that is authorised SA1022V Average area of living accommodation (m2 per person) SA2013V Number of deaths per year under 65 due to diseases of the circulatory or respiratory systems SA2014V Number of deaths per year < 65 due to diseases of the circulatory or respiratory systems (Male) SA2015V Number of deaths per year < 65 due to diseases of the circulatory or respiratory systems (Female) SA2027V Number of practising physicians SA2028V Number of practising dentists SA3005V Number of murders and violent deaths SA3006V Number of car thefts SA3007V Number of domestic burglary SA3008V Incidence rate of victimisation ( based) 6

7 Availability of variables in theme social accounts Required Avaliable ountry LUZ ity SD c. Economic indicators There were some variables (in theme E and IT) what we also sent for 2004 and 2001, to ensure the comparability of these data. There were some changes in methodology of business registers, and we tried to adapt these changes in the Urban Audit. To compile data about household income in this spatial level, was impossible for our office. Our data are based on the household, which is only a (0,5 percent of households ed). It didn t allow for us to provide data for required spatial levels. Missing variables in theme economy ode Name of variable Spatial unit (missing var.) E3039V Median equivalised disposable annual household income, LUZ, SD E3045V Household Income: Quintile 4 (income with 20% households above, 80% below), LUZ E3048V Household Income: Quintile 3 (income with 40% households above, 60% below), LUZ E3051V Household Income: Quintile 2 (income with 60% households above, 40% below), LUZ E3054V Household Income: Quintile 1 (income with 80% households above, 20% below) LUZ E3056V Total Number of Households (relating to the reported household income) LUZ E3055V Total Number of Households with less than 60% of the national median income LUZ E3057V Total Number of Households with less than half of the national average income LUZ E3060V Total Number of Households reliant on social security benefits (>50%), LUZ, ountry E3063V Individuals reliant on social security benefits (>50%), LUZ, ountry 7

8 Availability of variables in theme economy Required Avaliable ountry LUZ ity SD d. ivic involvement For Sub-ity Districts data cannot be provided, because borders of SD s are not fit with borders of electorates. We were able to serve most of data about local governments, but in some cases (especially in case of the budget of local governments) we would had need some more detailed methodological information. In this theme there were only 2 missing variable, which were unadaptable in the Hungarian election system (and there is no data collection about that). ode Missing variables in theme civic involvement Name of variable I1001V I1004V European Elections: Total electorate (eligible) National Elections: Total electorate (eligible) e. Education For 2004 almost every variable were collectible. The source of our data was microcensus, and the register of Ministry of Education. The database of ministry didn t contains the required data in case of the two missing variables. ode Missing variables in theme education Name of variable TE1005V TE1030V Total students registered for final year of compulsory education Students leaving compulsory education without having a diploma 8

9 Availability of variables in theme education Required Avaliable 5 0 ountry LUZ ity SD f. Environment In this theme were lowest the rate of provided data. We wasn t able to solve data for land use, because we didn t have any other source than ORINE from which we had erroneous data earlier. On the other hand there were no noise map for Hungarian cities until For Budapest the noise map published in the second half of this year. ode Missing variables in theme environment Name of variable EN2033V Number of residents exposed to road traffic noise >65 db(a) at day time EN2035V Number of residents exposed to road traffic noise >55 db(a) at night time EN2032V Number of residents exposed to rail traffic (incl. tram) noise >65dB(A) at daytime EN2036V Number of residents exposed to rail traffic (incl. tram) noise >55dB(A) at night-time EN2029V Number of residents exposed to air traffic noise >55 db(a) at night time EN2028V Number of residents exposed to air traffic noise >65 db(a) at day time EN5015V Water and wetland EN5012V Green space area (km2) EN5016V Land used for agricultural purposes EN5017V Land area in mineral extraction EN5018V Land area in industrial and manufactory use EN5019V Land area in road network use EN5020V Land area in rail network use EN5008V Land area in ports use EN5009V Land area in airports use EN5021V Land area in water treatment use EN5022V Land area in waste disposal use EN5023V Land area in commerce, finance and business use EN5011V Land area in recreational, sports and leisure use EN5004V Land area in housing/residential use EN5013V Unused areas, including contaminated or derelict land areas EN5001V Green space (in hectares) to which the public has access 9

10 ode Name of variable EN5103V Residents of core city based on modelling EN5104V Population in morphological city EN5105V Population of the morphological city living in the core city EN5106V Land area of core city based on modelling EN5107V Land area of morphological city EN5108V Land area of the morphological city within the boundaries of the core city g. Travel patterns About travelling the biggest problem was collecting data for journeys to work. We were able to provide data which were based on the microcensus, but there were some deviations in the methodology. In the questionnaire the asked person could choose more than one means of transport, so we wasn t able to calculate the rate of usage of different ways of transport. We provided the number of persons who were using defined ways of transport. The other problem was that some vehicles are mentioned in the same question, so we wasn t able to divide their data. Data collection didn t contain questions for variables TT1019 and TT1020. ode Missing variables in theme travel patterns Name of variable TT1003V Percentage of journeys to work by car TT1010V Percentage of journeys to work by public transport (rail, metro, bus, tram) TT1006V Percentage of journeys to work by motor cycle TT1007V Percentage of journeys to work by bicycle TT1008V Percentage of journeys to work by foot TT1012V Percentage of journeys to work by car or motor cycle TT1019V Average time of journey to work (minutes) TT1020V Average length of journey to work by private car (km) h. Information technology Our office was able to provide every IT data. There were no deviation in the methodology also. i. ulture and tourism There were only two missing variables, in this theme. Data source was our database in this case. We wasn t able to provide R2006 and R2008 variables, because neither airports, nor airlines has register these data. ode Missing variables in theme culture and tourism Name of variable R2006V Number of air passengers using nearest airport: Domestic arrivals R2008V Number of air passengers using nearest airport: Domestic departures V. Methods of estimations and data sources In Hungary most of the variables could fill from data of microcensus. The microcensus is a which based on a 2% of the resident population. In these cases we hadn t have to do any other estimations. DE, SA (most of variables), E , TE In most cases we have registers, or our partners have registers so we could fill the gaps from these sources. These fields were: SA HSO got register data from ministry. SA HSO register. 10

11 SA 30XX I 1001-I 1018 I 2001-I 2015 TE 1001-TE 1028 EN1001-EN1005 EN4001-EN4006 IT 2001-IT2004 IT3001-IT3006 R Register of Ministry of Justice and Law Enforcement Register of the National Election Office Register of Municipalities Register of HSO and Ministry of Education and ulture Register of Hungarian Meteorological Service Register of HSO Register of Municipalities Register of HSO Register of HSO We also listed some variables that we can fill with only regional data, because we are not able to estimate it for cities in a solid way. E Household (regional data) E2001 GDP (regional or county data) IT Detailed information about data sources, and deviations is available in Annex II.. We had only one simple estimation in case of SA1023V. We calculated the weighted average of price of panel flats and price of flats with brick masonry. It contains some problems because the size composition of the sold flats are different in these 2 categories. We had to simplify, because we hadn t got enough data about the size of sold flats. The basis of the estimation was the register of the departments of Public Fees/Duties. 11

12 i. Annex User URBANREG_HU Date Datafile name Transmitted Datafiles Status Domai n Dataset Year Period Action Size Encr. Status :49: HU.xls URBANREG URBANREG_EN_A O (4/4) Acknowledged Message: missing data URBANREG_HU :36:31.0 HUEN2004.xls URBANREG URBANREG_EN_A N (4/4) Acknowledged URBANREG_HU :15:29.0 HUTE2004.xls URBANREG URBANREG_TE_A N (4/4) Acknowledged URBANREG_HU :42:48.0 HUEN2001.xls URBANREG URBANREG_EN_A N (4/4) Acknowledged URBANREG_HU :42:47.0 HUTE2001.xls URBANREG URBANREG_TE_A N (4/4) Acknowledged URBANREG_HU URBANREG_HU URBANREG_HU URBANREG_HU URBANREG_HU URBANREG_HU URBANREG_HU URBANREG_HU URBANREG_HU URBANREG_HU URBANREG_HU :38:51.0 HUR2004.xls URBANREG URBANREG_R_A R (4/4) Acknowledged Message: in the right format :38:50.0 HUR2001.xls URBANREG URBANREG_R_A R (4/4) Acknowledged Message: in the right format :02:09.0 HUTT2004.xls URBANREG URBANREG_TT_A R (4/4) Acknowledged Message: in the right format :02:08.0 HUTT2001.xls URBANREG URBANREG_TT_A R (4/4) Acknowledged Message: in the right format :04:24.0 HUIT2004.xls URBANREG URBANREG_IT_A R (4/4) Acknowledged Message: in the right format :04:23.0 HUIT2001.xls URBANREG URBANREG_IT_A R (4/4) Acknowledged Message: in the right format :34:39.0 HUSA2004.xls URBANREG URBANREG_SA_A R (4/4) Acknowledged Message: in the right format :34:39.0 HUSA2001.xls URBANREG URBANREG_SA_A R (4/4) Acknowledged Message: in the right format :34:38.0 HUE2004.xls URBANREG URBANREG_E_A R (4/4) Acknowledged Message: in the right format :34:37.0 HUE2001.xls URBANREG URBANREG_E_A R (4/4) Acknowledged Message: in the right format :31:37.0 HUI2004.xls URBANREG URBANREG_I_A R (4/4) Acknowledged Message: in the right format URBANREG_HU :31:37.0 HUI2001.xls URBANREG URBANREG_I_A R (4/4) Acknowledged

13 User Date Message: inthe right format Datafile name Transmitted Datafiles Status Domai n Dataset Year Period Action Size Encr. Status URBANREG_HU :22:16.0 HUNGARYE2007MARH1(2004)(1).xls URBANREG URBANREG_E_A N (4/4) Acknowledged URBANREG_HU :22:15.0 HUNGARYE2007MARH1(2001).xls URBANREG URBANREG_E_A N (4/4) Acknowledged URBANREG_HU :41:54.0 HUNGARYR2007MARH1(2004)(1).xls URBANREG URBANREG_R_A N (4/4) Acknowledged URBANREG_HU :41:54.0 HUNGARYR2007MARH1(2001)(1).xls URBANREG URBANREG_R_A N (4/4) Acknowledged URBANREG_HU :38:15.0 HUNGARYTT2007MARH1(2004)(1).xls URBANREG URBANREG_TT_A N (4/4) Acknowledged URBANREG_HU :38:14.0 HUNGARYTT2007MARH1(2001)(1).xls URBANREG URBANREG_TT_A N (4/4) Acknowledged URBANREG_HU :25:14.0 HUNGARYSA2007MARH1(2004).xls URBANREG URBANREG_SA_A N (4/4) Acknowledged URBANREG_HU :25:14.0 HUNGARYSA2007MARH1(2001).xls URBANREG URBANREG_SA_A N (4/4) Acknowledged URBANREG_HU :30:08.0 HUNGARYIT2007MARH1(2004).xls URBANREG URBANREG_IT_A N (4/4) Acknowledged URBANREG_HU :30:08.0 HUNGARYIT2007MARH1(2001).xls URBANREG URBANREG_IT_A N (4/4) Acknowledged URBANREG_HU :13:28.0 HUNGARYDE2007MARH1(2001).xls URBANREG URBANREG_DE_A R (4/4) Acknowledged URBANREG_HU :13:08.0 HUNGARYDE2007MARH1(2004).xls URBANREG URBANREG_DE_A R (4/4) Acknowledged URBANREG_HU URBANREG_HU URBANREG_HU URBANREG_HU :08:15.0 HUNGARYI2006DE1(2004).xls URBANREG URBANREG_I_A N (4/4) Acknowledged Message: Data of municipalities and the National Election Office :08:15.0 HUNGARYI2006DE1(2001).xls URBANREG URBANREG_I_A N (4/4) Acknowledged Message: Data of municipalities and the National Election Office :08:15.0 HUNGARYDE2006DE1(2005).xls URBANREG URBANREG_DE_A N (4/4) Acknowledged Message: Population microcensus 2005 Hungary :08:14.0 HUNGARYDE2006DE1(2001).xls URBANREG URBANREG_DE_A N (4/4) Acknowledged Message: Population census 2001 Hungary 13

14 ii. Annex Variable ode DE1001V DE1002V DE1003V Spatia l level Variable name LSN Total Resident Population LSN Male Resident Population LSN Female Resident Population DE1067V Total Resident Population 0-2 DE1068V Male Resident Population 0-2 DE1069V Female Resident Population 0-2 DE1070V Total Resident Population 3-4 DE1071V Male Resident Population 3-4 Deviation from Definition Type of Data ollection Type of statistic,,,,,,,, Additional information Reference date / period data could contain some data could contain some data could contain some data could contain some data could contain some 14

15 Variable ode Spatia l level Variable name DE1072V Female Resident Population 3-4 DE1040V LSN Total Resident Population 0-4 DE1041V Male Resident Population 0-4 DE1042V Female Resident Population 0-4 DE1043V LSN Total Resident Population 5-14 DE1044V Male Resident Population 5-14 DE1045V Female Resident Population 5-14 DE1046V LSN Total Resident Population DE1047V Male Resident Population Deviation from Definition Type of Data ollection Type of statistic,,,,,,,,, Additional information Reference date / period data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some 15

16 DE1048V Female Resident Population DE1049V LSN Total Resident Population DE1050V Male Resident Population DE1051V Female Resident Population DE1052V LSN Total Resident Population DE1053V Male Resident Population DE1054V Female Resident Population DE1058V Total Resident Population DE1059V Male Resident Population 25-34,,,,,,,,, data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some 16

17 DE1060V Female Resident Population DE1061V Total Resident Population DE1062V Male Resident Population DE1063V Female Resident Population DE1064V Total Resident Population DE1065V Male Resident Population DE1066V Female Resident Population DE1025V LSN Total Resident Population DE1026V Male Resident Population Female Resident Population 55- DE1027V 64,,,,,,,,,, data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some 17

18 DE1028V LSN Total Resident Population DE1029V Male Resident Population DE1030V DE1055V DE1056V DE1057V DE2001V DE2002V DE2003V LSN Female Resident Population Total Resident Population 75 and over Male Resident Population 75 and over Female Resident Population 75 and over LSN Residents who are Nationals LSN LSN Residents who are Nationals of other EU Member State Residents who are not EU Nationals,,,,,,,,, data could contain some data could contain some data could contain some data could contain some 18

19 DE2005V DE2006V DE2004V DE3001V DE3017V DE3002V DE3005V DE3008V DE3009V DE3010V LSN LSN Residents who are not EU Nationals and citizens of a country with high HDI Residents who are not EU Nationals and citizens of a country with a medium or low HDI LSN Nationals born abroad LSN LSN Total Number of Households (excluding institutional households) Total Resident Population living in households (excluding institutional households) LSN One person households LSN LSN Lone parent households (with children aged 0 to under 18) Lone pensioner (above retirement age) households Total Lone pensioner (above retirement age) households Male Lone pensioner (above retirement age) households Female,,,,,,,,,, data could contain some data could contain some 19

20 DE3011V DE3012V DE3013V DE3014V DE3015V DE3016V SA1001V LSN Households with children aged 0 to under 18 Nationals that have moved into the city during the last two years EU Nationals that have moved into the city during the last two years (stock) Non-EU Nationals that have moved into the city during the last two years (stock) Number of "moves" into the city during the last two years (flow) Number of "moves" out of the city during the last two years (flow) Number of conventional dwellings SA1004V Number of houses SA1005V Number of apartments,,,,,,,,, data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some 20

21 SA1007V SA1008V SA1011V SA1012V SA1013V Number of households living in houses Number of households living in apartments Households owning their own dwelling LSN Households in social housing Households in private rented housing SA1027V Number of roofless persons Number of people in SA1029V accommodation for the homeless Number of people in Women's SA1031V Shelter Number of people in SA1030V accommodation for immigrants SA1016V Average price for an apartment per m2 SA1023V Average price for a house per m2 Houses with only one apartement Apartement is situated in a house which has more than one apartement ensus, ensus, Register Register Register Register Register of departments of Public Fees/Duties Register of departments of Public,,,,, Modelled Modelled data could contain some data could contain some data could contain some data could contain some 21

22 Fees/Duties Average annual rent for housing None None available. None None available.. SA1049V per m2 available. available., SA1018V LSN Dwellings lacking basic amenities, data could contain some SA1019V Average occupancy per occupied dwelling, data could contain some SA1025V Empty conventional dwellings, data could contain some SA1026V Non-conventional dwellings Number of overcrowded households (>1 persons in 1, data could contain some SA1046V room), data could contain some SA1048V Number of dwellings that is authorised SA1022V Average area of living accommodation (m2 per person) - HSO SA2004V Infant Mortality per year SA2005V Male Infant Mortality per year - HSO SA2006V Female Infant Mortality per year - HSO SA2007V Number of live births per year - HSO Number of live births per year - HSO SA2008V (Male) SA2009V Number of live births per year (Female) - HSO 22

23 Number of deaths per year under 65 due to diseases of the - HSO SA2013V circulatory or respiratory systems Number of deaths per year < 65 due to diseases of the circulatory - HSO SA2014V or respiratory systems (Male) Number of deaths per year < 65 due to diseases of the circulatory - HSO SA2015V or respiratory systems (Female) SA2016V LSN Total deaths under 65 per year - HSO Total deaths under 65 per year - HSO SA2017V (Male) Total deaths under 65 per year - HSO SA2018V (Female) SA2019V LSN Total deaths per year - HSO SA2020V Total deaths per year (Male) - HSO SA2021V Total deaths per year (Female) - HSO SA2022V Number of hospital beds - Register of Ministry of health SA2026V Number of hospital discharges of in-patients SA2027V Number of practising physicians SA2028V Number of practising dentists SA3001V SA3005V LSN Total number of recorded crimes within city [country for national data] Number of murders and violent deaths SA3006V Number of car thefts Number of family doctors None available - Register of Ministry of health HSO - Register of Ministry of Justice and Law Enforcement - Register of Ministry of Justice and Law Enforcement - Register of Ministry of None available 23

24 SA3007V SA3008V E1001V E1002V E1003V E1142V E1143V E1144V E1145V LSN Number of domestic burglary LSN LSN LSN LSN Incidence rate of victimisation ( based) Total Economically Active Population Male Economically Active Population Female Economically Active Population Total Economically Active Population Male Economically Active Population Female Economically Active Population Total Economically Active Population Justice and Law Enforcement - Register of Ministry of Justice and Law Enforcement - Register of Ministry of Justice and Law Enforcement,,,,,,, data could contain some data could contain some data could contain some 24

25 E1146V E1147V E1010V Male Economically Active Population Female Economically Active Population LSN Residents Unemployed E1011V Male Residents Unemployed E1012V Female Residents Unemployed E1148V LSN Residents Unemployed E1149V E1150V Male Residents Unemployed Female Residents Unemployed E1151V LSN Residents Unemployed Male Residents Unemployed 55- E1152V 64,,,,,,,,,, data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some 25

26 E1153V E1154V E1155V E1156V E1157V E1158V E1159V Female Residents Unemployed Unemployed continuously for more than six months, Male unemployed continuously for more than six months, Female unemployed continuously for more than six months, Unemployed continuously for more than one year, Male unemployed continuously for more than one year, Female unemployed continuously for more than one year, E1025V Residents in Self Employment E1026V Male residents in Self Employment,,,,,,,,, data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some 26

27 E1027V Female residents in Self Employment E1028V Residents in Paid Employment E1029V E1030V Male residents in Paid Employment Female residents in Paid Employment E1034V Total Full-Time Employment E1035V Male Full-Time Employment E1036V Female Full-Time Employment E1088V Total Part-Time Employment E1089V Male Part-Time Employment E1090V Female Part-Time Employment,,,,,,,,,, data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some 27

28 E1160V E1161V E1162V E1163V E1164V E1165V E1166V E1167V E1168V Total Full-Time Employment Full-Time Employment Male Full-Time Employment Female Total Full-Time Employment Full-Time Employment Male Full-Time Employment Female Total Part-Time Employment Part-Time Employment Male Part-Time Employment Female,,,,,,,,, data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some 28

29 E1169V E1170V E1171V E2001V E2002V E2015V Total Part-Time Employment Part-Time Employment Male Part-Time Employment Female Gross Domestic Product of city / region / country Total resident population of area [country] relating to reported GDP Total employment of area [country] relating to reported GDP E2021V All companies ompanies with headquarter within the city quoted on national E2003V stock exchange New business registered in E2004V reference year Purchasing power parities for E2005V N ESA95 GDP (EU25=1) ompanies gone bankrupt in E2014V reference year E2020V E2008V Total employment / jobs (work place based) Employment (jobs) in agriculture, fishery (NAE Rev. 1.1: A-B) - HSO registers, and other registers,,, Modelled - HSO register Modelled - HSO Modelled - Business register of HSO - Register of Budapest Stock Exchange - Business register of HSO - Business register of HSO Modelled Modelled Modelled,, data could contain some data could contain some data could contain some centrally held data could contain some data could contain some 29

30 E2009V E2022V E2010V E2023V E2011V E2012V E2016V E2017V Employment (jobs) in mining, manufacturing, energy (NAE Rev. 1.1: -E) Employment (jobs) in construction (NAE Rev. 1.1: F) Employment (jobs) in trade, hotels, restaurants (NAE Rev. 1.1: G-H) Employment (jobs) in transport, communication (NAE Rev. 1.1: I) Employment (jobs) financial intermediation, business activities (NAE Rev. 1.1: J-K) Employment (jobs) in public admin., health, education, other (NAE Rev. 1.1: L-P) Employment (jobs) in NAE Rev F Employment (jobs) in NAE Rev. 1.1 G-P E2018V Employment (jobs) - employees,,,,,,,,, data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some 30

31 E2019V E3039V E3040V E3045V E3048V E3051V E3054V E3056V E3055V E3057V E3060V E3063V I1001V NUTS 2-3 NUTS 2-3 NUTS 2-3 NUTS 2-3 NUTS 2-3 NUTS 2-3 NUTS 2-3 NUTS 2-3 NUTS 2-3 NUTS 2-3 NUTS 2-3 Employment (jobs) - self employed Median disposable annual household income Average annual household income Household Income: Quintile 4 (income with 20% households above, 80% below) Household Income: Quintile 3 (income with 40% households above, 60% below) Household Income: Quintile 2 (income with 60% households above, 40% below) Household Income: Quintile 1 (income with 80% households above, 20% below) Total Number of Households (relating to the reported household income) Total Number of Households with less than 60% of the national median income Total Number of Households with less than half of the national average income Total Number of Households reliant on social security benefits (>50%) Individuals reliant on social security benefits (>50%) European elections: Total electorate (eligible) Regional data Regional data Regional data Regional data Regional data Regional data Regional data Regional data Regional data Regional data Regional data There is no differences between eligible and Household (HSO) Household (HSO) Household (HSO) Household (HSO) Household (HSO) Household (HSO) Household (HSO) Household (HSO) Household (HSO) Household (HSO) Household (HSO) Register of the National Election Office, data could contain some There is no data available for other spatial units than NUTS2-3 There is no data available for other spatial units than NUTS2 There is no data available for other spatial units than NUTS2 There is no data available for other spatial units than NUTS2 There is no data available for other spatial units than NUTS2 There is no data available for other spatial units than NUTS2 There is no data available for other spatial units than NUTS2 There is no data available for other spatial units than NUTS2 There is no data available for other spatial units than NUTS2 There is no data available for other spatial units than NUTS2 There is no data available for other spatial units than NUTS

32 I1002V I1003V I1004V I1005V S S European elections: Total electorate (registered) European elections: voter turnout National elections: Total electorate (eligible) National elections: Total electorate (registered) I1006V S National elections: voter turn-out I1007V I1008V S S ity elections: Total electorate (eligible) ity elections: Total electorate (registered) registered in Hungary There is no differences between eligible and registered in Hungary There is no differences between eligible and registered in Hungary There is no differences between eligible and registered in Hungary There is no differences between eligible and registered in Hungary There is no differences between eligible and registered in Hungary Register of the National Election Office Register of the National Election Office Register of the National Election Office Register of the National Election Office Register of the National Election Office Register of the National Election Office Register of the National Election Office

33 I1009V S ity elections: voter turn-out I1016V Total number of elected city representatives Number of male elected city representatives - Register of the National Election Office - Register of the National Election Office - Register of the National Election Office - Register of the National Election Office - Registers of Municipalities - Registers of Municipalities - Registers of Municipalities I1017V 2002 Number of female elected city I1018V representatives Total Municipality Authority I2001V Income Municipality Authority Income I2002V derived from local taxation Municipality Authority Income transferred from national or I2003V regional government Municipality Authority Income - Registers of I2004V derived from charges for services Municipalities Municipality Authority Income - Registers of I2005V derived from other sources Municipalities Total Municipality Authority - Registers of I2006V Expenditure Municipalities - Registers of I2014V Debt of municipal authority Municipalities Levels of reserves of municipal - Registers of I2015V authority Municipalities Total number of persons directly - Registers of employed by the local Municipalities/ I2007V administration HSO - Register of HSO and Ministry of Number of children 0-4 in day Education and TE1001V care ulture TE1006V Number of children 0-2 in day - Register of

34 TE1007V TE1005V TE1030V TE1031V TE1032V TE1033V TE1026V TE1027V care Number of children 3-4 in day care Total students registered for final year of compulsory education Students leaving compulsory education without having a diploma Students in upper and further education (ISED level 3-4) Male students in upper and further education (ISED level 3-4) Female students in upper and further education (ISED level 3-4) Students in higher education (ISED level 5-6) Male students in higher education (ISED level 5-6) HSO and Ministry of Education and ulture - Register of HSO and Ministry of Education and ulture None available None available - Register of HSO and Ministry of Education and ulture - Register of HSO and Ministry of Education and ulture - Register of HSO and Ministry of Education and ulture - Register of HSO and Ministry of Education and ulture - Register of HSO and Ministry of Education and ulture None available None available 34

35 TE1028V TE2025V TE2026V TE2027V TE2028V TE2029V TE2030V TE2031V LSN LSN LSN Female students in higher education (ISED level 5-6) Number of residents (aged 15-64) with ISED level 0, 1or 2 as the highest level of education Number of residents (aged 15-64) with ISED level 0, 1or 2 as the highest level of education - male Number of residents (aged 15-64) with ISED level 0, 1or 2 as the highest level of education - female Number of residents (aged 15-64) with ISED level 3or 4 as the highest level of education Number of residents (aged 15-64) with ISED level 3 or 4 as the highest level of education - male Number of residents (aged 15-64) with ISED level 3 or 4 as the highest level of education - female Number of residents (aged 15-64) with ISED level 5 or 6 as the highest level of education - Register of HSO and Ministry of Education and ulture,,,,,,,, data could contain some data could contain some data could contain some data could contain some TE2032V Number of residents (aged 15-64) with ISED level 5 or 6 as the highest level of education - male data could contain some TE2033V Number of residents (aged 15-64) data could contain some 35

36 EN1003V EN1004V with ISED level 5 or 6 as the highest level of education - female Average temperature of warmest month Average temperature of coldest month EN1005V Rainfall (litre/m2) Number of days of rain per annum - Register of Hungarian Meteorological Service - Register of Hungarian Meteorological Service - Register of Hungarian Meteorological Service - Register of Hungarian Meteorological, EN1001V Service - Register of Hungarian Total number of hours of Meteorological EN1002V sunshine per day Service Number of days ozone O3 - EN2002V concentrations exceed 120 µg/m3 centrally held Number of days nitrogen dioxide - NO2 concentrations exceed 200 EN2003V µg/m3 centrally held Number of days particulate - matter PM10 concentrations EN2005V exceed 50 µg/m3 centrally held Accumulated ozone concentration - EN2025V in excess 70 µg/m3 centrally held Annual average concentration of - EN2026V NO2 centrally held Annual average concentration of - EN2027V PM10 centrally held EN2033V Number of residents exposed to None None available 36

37 road traffic noise >65 db(a) at available day time Number of residents exposed to road traffic noise >55 db(a) at None available None available EN2035V night time Number of residents exposed to rail traffic (incl. tram) noise None available None available EN2032V >65dB(A) at daytime Number of residents exposed to rail traffic (incl. tram) noise None available None available EN2036V >55dB(A) at night-time Number of residents exposed to air traffic noise >65 db(a) at day None available None available EN2028V L time Number of residents exposed to air traffic noise >55 db(a) at None available None available EN2029V L night time - Register of the EN3003V Total consumption of water HSO Number of dwellings connected to - Register of the EN3004V potable drinking water system HSO Number of dwellings connected to - Register of the EN3006V sewerage treatment system HSO - Register of water Number of water rationing cases, supplier EN3008V days per year companies - Register of water Number of water cuts, days per supplier EN3009V year companies Price of a m3 of domestic water - Municipalities Legislated by Order of Municipalities EN3010V (Euro) register Percentage of urban waste water load (in p.e.) treated according to - Register of HSO/Municipal 2001, 2003 EN3011V the applicable standard ities - Register of 2001, 2003 Annual amount of solid waste HSO/Municipal EN4001V (domestic and commercial) ities EN4002V Annual amount of solid waste - Register of 2001,

38 (domestic and commercial) processed by landfill. HSO/Municipal ities Annual amount of solid waste (domestic and commercial) - Register of HSO/Municipal EN4003V processed by incinerator ities Annual amount of solid waste - Register of (domestic and commercial) that is HSO/Municipal EN4004V recycled ities Annual amount of solid waste - Register of (domestic and commercial) given HSO/Municipal EN4006V to other disposal ities - Register of Ministry of Agriculture and Rural Total land area (km2) according Development/ EN5003V LSN to cadastral register HSO EN5015V Water and wetland - centrally held - Register of EN5012V LSN Green space area (km2) Municipalities Land used for agricultural None None available EN5016V purposes available Land used for commercial None None available EN5024V activities (industry, trade, offices) available Land area in housing/residential None None available EN5004V use available Land used for transport (road, None None available EN5025V rail, air, ports) available Land area in recreational, sports None None available EN5011V and leisure use available None None available EN5026V other land use available Green space (in hectares) to None None available EN5001V LS which the public has access available Residents of core city based on - EN5103V modelling centrally held EN5104V Population in morphological city - centrally held EN5105V Population of the morphological - centrally held 2001, , ,

39 city living in the core city Land area of core city based on - EN5106V modelling centrally held EN5107V Land area of morphological city - centrally held Land area of the morphological - EN5108V city within the boundaries of the core city centrally held TT1003V TT1010V TT1006V TT1007V TT1008V TT1012V TT1019V Percentage of journeys to work by car Percentage of journeys to work by public transport (rail, metro, bus, tram) Percentage of journeys to work by motor cycle Percentage of journeys to work by bicycle Percentage of journeys to work by foot Percentage of journeys to work by car or motor cycle Average time of journey to work (minutes) More than one vehicle could be chosen More than one vehicle could be chosen Including bicycle and motorcycle also None available More than one vehicle could be chosen, so it s not a cumulative indicator ensus, ensus, ensus, ensus, ensus,,,,,,,, data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some data could contain some 39

40 TT1020V L Average length of journey to work by private car (km) TT1064V People commuting into the city TT1065V People commuting out of the city TT1069V TT1083V TT1084V TT1085V TT1066V TT1077V TT1078V L L Number of stops of public transport Number of buses (or bus equivalents) operating in the public transport Average age of the bus (only buses) fleet Proportion of buses running on alternative fuels Length of public transport network (km) Length of public transport network on fixed infrastructure Length of public transport network on flexible routes TT1082V Length of restricted bus lanes Length of bicycle network TT1079V (dedicated cycle paths and lanes) ost of a combined monthly ticket (all modes) for 5-10 km in the TT1080V central zone - Local public transport company s register,,, - HSO register - HSO register - Local public transport company s register - HSO register - HSO register - HSO register - Municipality register - HSO register - Local public transport company s data could contain some data could contain some data could contain some 40

41 register ost of a taxi ride of 5 km to the - Taxi companies TT1081V centre at day time - HSO register TT1057V Number of private cars registered Number of motor cycles - HSO register TT1013V registered Number of park and ride parking - Municipality TT1070V L spaces register Maximum charge of on-street - Local parking parking in the city centre per companies TT1075V hour Number of deaths in road - HSO register TT1060V accidents Number of persons seriously - HSO register TT1061V injured in road accidents TT1071V L Accessibility by air (EU27=100) - centrally held TT1072V L Accessibility by rail (EU27=100) - centrally held Accessibility by road - TT1073V L (EU27=100) centrally held Multimodal accessibility - TT1074V L (EU27=100) centrally held - IT usage IT1001V Number of households with a P HSO Percent of population over 15 - IT usage years who regularly use the HSO IT1002V Internet Percentage of households with - IT usage IT1005V Internet access at home HSO Households with broad band - IT usage IT1010V access HSO Official city Internet web site - Municipal IT2001V (Yes/No) register Number of visits to official city - Municipal IT2005V IT2003V Internet web site (daily) Number of administrative forms available for download from official web site register - Municipal register

42 IT2004V IT3001V IT3002V IT3003V IT3004V IT3005V IT3006V R1003V Number of administrative forms which can be submitted electronically Number of local units manufacturing IT products Number of persons employed in manufacture of IT products Number of local units providing IT services Number of persons employed in provision of IT services Number of local units producing content for the Information Society Number of persons employed in production of content for the Information Society Number of cinema seats ( total capacity) R1005V inema attendance (per year) R1006V Number of museums Number of museum visitors (per R1007V year) R1008V Number of theatres R1013V Number of theatre seats R1009V Theatre attendance (per year) Number of public libraries (all R1010V distribution points) Number of books and other media loaned from public libraries (per R1011V year) Number of persons employed in R1014V the culture and entertainment - Municipal register - Business register of HSO - Business register of HSO - Business register of HSO - Business register of HSO - Business register of HSO - Business register of HSO Modelled Modelled Modelled Modelled Modelled - HSO register - HSO register - HSO register - HSO register - HSO register - HSO register - HSO register - HSO register - HSO register 42

43 R2001V industry Total annual tourist overnight stays in registered accommodation R2009V Number of available beds Number of available beds at high R2102V season Number of available beds at low R2103V season Total tourist overnight stays in registered accommodation at R2104V high season Total tourist overnight stays in registered accommodation at low R2105V season Number of air passengers using R2004V nearest airport Number of air passengers using R2005V nearest airport: Total arrivals Number of air passengers using nearest airport: Domestic R2006V arrivals Number of air passengers using R2007V nearest airport: Total departures Number of air passengers using nearest airport: Domestic R2008V departures - HSO - HSO - HSO - HSO - HSO - HSO - HSO - HSO - HSO - HSO - HSO 43