methods, notes and classification Metropolitan areas methods, notes and classification

    • Metropolitan areas
      • Australia
        • 000 Australia
        • 001 Greater Sydney
        • 002 Greater Melbourne
        • 003 Greater Brisbane
        • 004 Greater Perth
        • 005 Greater Adelaide
        • 006 Gold Coast
        • 007 Canberra
        • 008 Newcastle
        • 009 Wollongong
        • 00a Sunshine Coast
        • 00b Greater Hobart
        • 00c Townsville
        • 00d Geelong
        • 00e Cairns
        • 00f Greater Darwin
        • 00g Toowoomba
        • 00h Ballarat
        • 00i Bendigo
      • Austria
        • 00j Austria
        • 00k Vienna
        • 00l Graz
        • 00m Linz
        • 00n Salzburg
        • 00o Innsbruck
        • 00p Klagenfurt
      • Belgium
        • 00q Belgium
        • 00r Brussels
        • 00s Antwerp
        • 00t Gent
        • 00u Charleroi
        • 00v Liege
        • 00w Bruges
        • 00x Namur
        • 00y Mons
        • 00z Kortrijk
        • 010 Ostend
        • 011 Mechelen
        • 012 Mouscron
        • 013 Verviers (greater city)
      • Bulgaria
        • 014 Bulgaria
        • 015 Sofia
        • 016 Plovdiv
        • 017 Varna
        • 018 Burgas
        • 019 Pleven
        • 01a Ruse
        • 01b Vidin
        • 01c Stara Zagora
        • 01d Sliven
        • 01e Dobrich
        • 01f Shumen
        • 01g Yambol
        • 01h Haskovo
        • 01i Pazardzhik
        • 01j Blagoevgrad
        • 01k Veliko Tarnovo
        • 01l Vratsa
      • Canada
        • 01m Canada
        • 01n Toronto
        • 01o Montreal
        • 01p Vancouver
        • 01q Ottawa
        • 01r Calgary
        • 01s Edmonton
        • 01t Quebec
        • 01u Winnipeg
        • 01v Hamilton
        • 01w London
        • 01x Kitchener
        • 01y Halifax
        • 01z Victoria
        • 020 Windsor
        • 021 Saskatoon
        • 022 Sherbrooke
        • 023 St Catharines
        • 024 Trois Rivieres
        • 025 St Johns
        • 026 Regina
        • 027 Abbotsford
        • 028 Guelph
        • 029 Red Deer
        • 02a Brantford
        • 02b Peterborough
        • 02c Niagara Falls
      • Switzerland
        • 02d Switzerland
        • 02e Zurich
        • 02f Geneva
        • 02g Basel
        • 02h Bern
        • 02i Lausanne
        • 02j Winterthur
        • 02k St. Gallen
        • 02l Lucerne
        • 02m Lugano
        • 02n Biel/Bienne
      • Chile
        • 02o Chile
        • 02p Arica
        • 02q Iquique
        • 02r Calama
        • 02s Antofagasta
        • 02t Copiapo
        • 02u Coquimbo-La Serena
        • 02v Ovalle
        • 02w Calera
        • 02x Quillota
        • 02y Valparaiso
        • 02z Santiago
        • 030 San Antonio
        • 031 Melipilla
        • 032 Rancagua
        • 033 San Fernando
        • 034 Curico
        • 035 Talca
        • 036 Linares
        • 037 Chillan
        • 038 Concepcion
        • 039 Los Angeles
        • 03a Temuco
        • 03b Valdivia
        • 03c Osorno
        • 03d Puerto Montt
        • 03e Punta Arenas
      • Colombia
        • 03f Colombia
        • 03g Bogota D.C.
        • 03h Medellin
        • 03i Cali
        • 03j Barranquilla
        • 03k Cartagena
        • 03l Bucaramanga
        • 03m Cucuta
        • 03n Pereira
        • 03o Ibague
        • 03p Manizales
        • 03q Santa Marta
        • 03r Pasto
        • 03s Armenia
        • 03t Villavicencio
        • 03u Monteria
        • 03v Valledupar
        • 03w Buenaventura
        • 03x Neiva
        • 03y Palmira
        • 03z Popayan
        • 040 Sincelejo
        • 041 Barrancabermeja
        • 042 Tulua
        • 043 Tunja
        • 044 Riohacha
        • 045 San Andres de Tumaco
        • 046 Florence
        • 047 Apartado
        • 048 Girardot
        • 049 Cartago
        • 04a Maicao
        • 04b Magangue
        • 04c Sogamoso
        • 04d Guadalajara de Buga
        • 04e Ipiales
        • 04f Quibdo
        • 04g Fusagasuga
        • 04h Facatativa
        • 04i Duitama
        • 04j Yopal
        • 04k Cienaga
        • 04l Zipaquira
        • 04m Rionegro
        • 04n Ocana
        • 04o La Dorada
        • 04p Caucasia
        • 04q Sabanalarga
        • 04r Aguachica
        • 04s Espinal
        • 04t Arauca
        • 04u Santa Rosa de Cabal
        • 04v El Carmen de Bolivar
        • 04w Fundacion
      • Cyprus
        • 04x Lefkosia
        • 04y Lemesos
      • Czechia
        • 04z Czechia
        • 050 Prague
        • 051 Brno
        • 052 Ostrava
        • 053 Plzen
        • 054 Usti nad Labem
        • 055 Olomouc
        • 056 Liberec
        • 057 Ceske Budejovice
        • 058 Hradec Kralove
        • 059 Pardubice
        • 05a Zlin
        • 05b Carlsbad
        • 05c Jihlava
        • 05d Most
        • 05e Chomutov
      • Germany
        • 05f Germany
        • 05g Berlin
        • 05h Hamburg
        • 05i Munich
        • 05j Cologne
        • 05k Frankfurt am Main
        • 05l Stuttgart
        • 05m Leipzig
        • 05n Dresden
        • 05o Dusseldorf
        • 05p Bremen
        • 05q Hanover
        • 05r Nuremberg
        • 05s Bielefeld
        • 05t Halle an der Saale
        • 05u Magdeburg
        • 05v Wiesbaden
        • 05w Gottingen
        • 05x Darmstadt
        • 05y Trier
        • 05z Freiburg im Breisgau
        • 060 Regensburg
        • 061 Frankfurt
        • 062 Weimar
        • 063 Schwerin
        • 064 Erfurt
        • 065 Augsburg
        • 066 Bonn
        • 067 Karlsruhe
        • 068 Monchengladbach
        • 069 Mainz
        • 06a Ruhr
        • 06b Kiel
        • 06c Saarbrucken
        • 06d Koblenz
        • 06e Rostock
        • 06f Kaiserslautern
        • 06g Iserlohn
        • 06h Wilhelmshaven
        • 06i Tubingen
        • 06j Villingen-Schwenningen
        • 06k Flensburg
        • 06l Marburg
        • 06m Constance
        • 06n Neumunster
        • 06o Brandenburg an der Havel
        • 06p Giessen
        • 06q Luneburg
        • 06r Bayreuth
        • 06s Celle
        • 06t Aschaffenburg
        • 06u Bamberg
        • 06v Plauen
        • 06w Neubrandenburg
        • 06x Fulda
        • 06y Kempten (Allgau)
        • 06z Landshut
        • 070 Rosenheim
        • 071 Stralsund
        • 072 Friedrichshafen
        • 073 Offenburg
        • 074 Gorlitz
        • 075 Schweinfurt
        • 076 Greifswald
        • 077 Wetzlar
        • 078 Passau
        • 079 Dessau
        • 07a Braunschweig-Salzgitter Wolfsburg
        • 07b Mannheim-Ludwigshafen
        • 07c Muenster
        • 07d Chemnitz
        • 07e Aachen
        • 07f Krefeld
        • 07g Lubeck
        • 07h Kassel
        • 07i Solingen
        • 07j Osnabruck
        • 07k Oldenburg (Oldenburg)
        • 07l Heidelberg
        • 07m Paderborn
        • 07n Wurzburg
        • 07o Bremerhaven
        • 07p Heilbronn
        • 07q Remscheid
        • 07r Ulm
        • 07s Pforzheim
        • 07t Ingolstadt
        • 07u Gera
        • 07v Reutlingen
        • 07w Cottbus
        • 07x Siegen
        • 07y Hildesheim
        • 07z Zwickau
        • 080 Wuppertal
        • 081 Jena
        • 082 Duren, Stadt
        • 083 Bocholt, Stadt
      • Denmark
        • 084 Denmark
        • 085 Copenhagen
        • 086 Aarhus
        • 087 Odense
        • 088 Aalborg
      • Spain
        • 089 Spain
        • 08a Madrid
        • 08b Barcelona
        • 08c Valencia
        • 08d Seville
        • 08e Saragossa
        • 08f Malaga
        • 08g Murcia
        • 08h Las Palmas
        • 08i Valladolid
        • 08j Palma de Mallorca
        • 08k Santiago de Compostela
        • 08l Vitoria
        • 08m Oviedo
        • 08n Pamplona
        • 08o Santander
        • 08p Toledo
        • 08q Badajoz
        • 08r Logrono
        • 08s Bilbao
        • 08t Cordoba
        • 08u Alicante
        • 08v Vigo
        • 08w Gijon
        • 08x Santa Cruz de Tenerife
        • 08y Coruna (A)
        • 08z Reus
        • 090 Lugo
        • 091 Girona
        • 092 Caceres
        • 093 Torrevieja
        • 094 Puerto de Santa Maria, El
        • 095 Aviles
        • 096 Talavera de la Reina
        • 097 Palencia
        • 098 Ferrol
        • 099 Pontevedra
        • 09a Ceuta
        • 09b Gandia
        • 09c Guadalajara
        • 09d Manresa
        • 09e Ciudad Real
        • 09f Benidorm
        • 09g Melilla
        • 09h Ponferrada
        • 09i Zamora
        • 09j Sanlucar de Barrameda
        • 09k Linea de la Concepcion, La
        • 09l Irun
        • 09m Arrecife
        • 09n Elda
        • 09o Santa Lucia de Tirajana
        • 09p Granada
        • 09q Elche/Elx
        • 09r Cartagena
        • 09s Jerez de la Frontera
        • 09t Donostia-San Sebastian
        • 09u Almeria
        • 09v Burgos
        • 09w Salamanca
        • 09x Albacete
        • 09y Castellon de la Plana/Castello de la Plana
        • 09z Huelva
        • 0a0 Cadiz
        • 0a1 Leon
        • 0a2 Tarragona
        • 0a3 Jaen
        • 0a4 Lleida
        • 0a5 Ourense
        • 0a6 Algeciras
        • 0a7 Marbella
        • 0a8 Alcoy
        • 0a9 Avila
        • 0aa Chiclana de la Frontera
        • 0ab Basin
        • 0ac Eivissa
        • 0ad Linares
        • 0ae Lorca
        • 0af Merida
        • 0ag Sagunto
        • 0ah Puerto de la Cruz
        • 0ai Igualada
      • Estonia
        • 0aj Estonia
        • 0ak Tallinn
        • 0al Tartu
        • 0am Narva
      • Finland
        • 0an Finland
        • 0ao Helsinki
        • 0ap Tampere
        • 0aq Turku
        • 0ar Oulu
        • 0as Lahti
        • 0at Kuopio
        • 0au Jyvaskyla
      • France
        • 0av France
        • 0aw Paris
        • 0ax Lyon
        • 0ay Toulouse
        • 0az Strasbourg
        • 0b0 Bordeaux
        • 0b1 Nantes
        • 0b2 Lille
        • 0b3 Montpellier
        • 0b4 Saint-Etienne
        • 0b5 Le Havre
        • 0b6 Rennes
        • 0b7 Amiens
        • 0b8 Nancy
        • 0b9 Metz
        • 0ba Reims
        • 0bb Orleans
        • 0bc Dijon
        • 0bd Poitiers
        • 0be Clermont-Ferrand
        • 0bf Caen
        • 0bg Limoges
        • 0bh Besancon
        • 0bi Grenoble
        • 0bj Saint Denis
        • 0bk Fort-de-France
        • 0bl Toulon
        • 0bm Valenciennes
        • 0bn Tours
        • 0bo Angers
        • 0bp Brest
        • 0bq Le Mans
        • 0br Avignon
        • 0bs Mulhouse
        • 0bt Dunkerque
        • 0bu Perpignan
        • 0bv Nimes
        • 0bw Pau
        • 0bx Bayonne
        • 0by Annemasse
        • 0bz Annecy
        • 0c0 Lorient
        • 0c1 Troyes
        • 0c2 Saint-Nazaire
        • 0c3 La Rochelle
        • 0c4 Boulogne-sur-Mer
        • 0c5 Chambery
        • 0c6 Chartres
        • 0c7 Calais
        • 0c8 Beziers
        • 0c9 Arras
        • 0ca Bourges
        • 0cb Saint-Brieuc
        • 0cc Cherbourg
        • 0cd Belfort
        • 0ce Roanne
        • 0cf Saint-Quentin
        • 0cg Frejus
        • 0ch Aix-en-Provence
        • 0ci Marseille
        • 0cj Nice
        • 0ck Lens - Lievin
        • 0cl Douai
        • 0cm Valence
        • 0cn Rouen
        • 0co Martigues
        • 0cp Colmar
        • 0cq Les Abymes
        • 0cr Cayenne
        • 0cs Mamoudzou
      • United Kingdom
        • 0ct United Kingdom
        • 0cu London
        • 0cv West Midlands urban area
        • 0cw Leeds
        • 0cx Glasgow
        • 0cy Liverpool
        • 0cz Edinburgh
        • 0d0 Manchester
        • 0d1 Cardiff
        • 0d2 Sheffield
        • 0d3 Bristol
        • 0d4 Belfast
        • 0d5 Newcastle upon Tyne
        • 0d6 Leicester
        • 0d7 Aberdeen
        • 0d8 Cambridge
        • 0d9 Exeter
        • 0da Lincoln
        • 0db Stevenage
        • 0dc Wrexham
        • 0dd Portsmouth
        • 0de Worcester
        • 0df Coventry
        • 0dg Kingston upon Hull
        • 0dh Stoke-on-Trent
        • 0di Nottingham
        • 0dj Bath and North East Somerset
        • 0dk Guildford
        • 0dl Thanet
        • 0dm Waveney
        • 0dn Ashford
        • 0do East Staffordshire
        • 0dp Darlington
        • 0dq Worthing
        • 0dr Mansfield
        • 0ds Chesterfield
        • 0dt Burnley
        • 0du Great Yarmouth
        • 0dv Eastbourne
        • 0dw Hastings
        • 0dx Redditch
        • 0dy Halton
        • 0dz Doncaster
        • 0e0 Sunderland
        • 0e1 Medway
        • 0e2 Brighton and Hove
        • 0e3 Plymouth
        • 0e4 Swansea
        • 0e5 Derby
        • 0e6 Southampton
        • 0e7 Milton Keynes
        • 0e8 Northampton
        • 0e9 Warrington
        • 0ea Luton
        • 0eb York
        • 0ec Swindon
        • 0ed Bournemouth
        • 0ee Wycombe
        • 0ef Telford and Wrekin
        • 0eg North East Lincolnshire
        • 0eh Peterborough
        • 0ei Colchester
        • 0ej Basingstoke and Deane
        • 0ek Bedford
        • 0el Dundee City
        • 0em Falkirk
        • 0en Reading
        • 0eo Blackpool
        • 0ep Maidstone
        • 0eq Dacorum
        • 0er Blackburn with Darwen
        • 0es Newport
        • 0et Middlesbrough
        • 0eu Oxford
        • 0ev Torbay
        • 0ew Preston
        • 0ex Norwich
        • 0ey Slough
        • 0ez Cheshire West and Chester
        • 0f0 Ipswich
        • 0f1 Cheltenham
        • 0f2 Gloucester
        • 0f3 Bracknell Forest
        • 0f4 Carlisle
        • 0f5 Crawley
        • 0f6 Rushmoor
        • 0f7 Corby
        • 0f8 Kettering
        • 0f9 Derry & Strabane Local Government District
      • Greece
        • 0fa Greece
        • 0fb Athens
        • 0fc Thessaloniki
        • 0fd Patras
        • 0fe Irakleio
        • 0ff Larisa
        • 0fg Volos
        • 0fh Ioannina
        • 0fi Kavala
        • 0fj Kalamata
        • 0fk Trikala
        • 0fl Serres
        • 0fm Katerini
        • 0fn Xanthi
        • 0fo Chania
      • Croatia
        • 0fp Croatia
        • 0fq Zagreb
        • 0fr Rijeka
        • 0fs Slavonski Brod
        • 0ft Osijek
        • 0fu Split
        • 0fv Pula
        • 0fw Zadar
      • Hungary
        • 0fx Hungary
        • 0fy Budapest
        • 0fz Miskolc
        • 0g0 Nyiregyhaza
        • 0g1 Pecs
        • 0g2 Debrecen
        • 0g3 Szeged
        • 0g4 Gyor
        • 0g5 Kecskemet
        • 0g6 Szekesfehervar
        • 0g7 Szombathely
        • 0g8 Szolnok
        • 0g9 Tatabanya
        • 0ga Veszprem
        • 0gb Bekescsaba
        • 0gc Kaposvar
        • 0gd Eger
        • 0ge Dunaujvaros
        • 0gf Zalaegerszeg
        • 0gg Sopron
      • Ireland
        • 0gh Ireland
        • 0gi Dublin
        • 0gj Cork
        • 0gk Limerick
        • 0gl Galway
        • 0gm Waterford
      • Iceland
        • 0gn Iceland
        • 0go Reykjavik
      • Israel
        • 0gp Nahariyya
        • 0gq Haifa
        • 0gr Nazareth
        • 0gs Umm Al-Fahm
        • 0gt Hadera
        • 0gu Netanya
        • 0gv Tel Aviv - Yafo
        • 0gw Ashdod
        • 0gx Bet Shemesh
        • 0gy Jerusalem
        • 0gz Ashqelon
        • 0h0 Qiryat Gat
        • 0h1 Be'Er Sheva
        • 0h2 Elat
      • Italy
        • 0h3 Italy
        • 0h4 Rome
        • 0h5 Milan
        • 0h6 Naples
        • 0h7 Turin
        • 0h8 Palermo
        • 0h9 Genoa
        • 0ha Florence
        • 0hb Bari
        • 0hc Bologna
        • 0hd Catania
        • 0he Venice
        • 0hf Verona
        • 0hg Cremona
        • 0hh Trent
        • 0hi Trieste
        • 0hj Perugia
        • 0hk Ancona
        • 0hl Pescara
        • 0hm Campobasso
        • 0hn Caserta
        • 0ho Taranto
        • 0hp Potenza
        • 0hq Catanzaro
        • 0hr Reggio di Calabria
        • 0hs Sassari
        • 0ht Cagliari
        • 0hu Padua
        • 0hv Brescia
        • 0hw Modena
        • 0hx Foggia
        • 0hy Salerno
        • 0hz Piacenza
        • 0i0 Bolzano
        • 0i1 Udine
        • 0i2 La Spezia
        • 0i3 Lecce
        • 0i4 Barletta
        • 0i5 Pesaro
        • 0i6 Como
        • 0i7 Pisa
        • 0i8 Treviso
        • 0i9 Varese
        • 0ia Asti
        • 0ib Pavia
        • 0ic Massa
        • 0id Cosenza
        • 0ie Savona
        • 0if Matera
        • 0ig Acireale
        • 0ih Avellino
        • 0ii Pordenone
        • 0ij Lecco
        • 0ik Altamura
        • 0il Battipaglia
        • 0im Bisceglie
        • 0in Carpi
        • 0io Cerignola
        • 0ip Gela
        • 0iq Sassuolo
        • 0ir Messina
        • 0is Prato
        • 0it Parma
        • 0iu Livorno
        • 0iv Reggio nell'Emilia
        • 0iw Ravenna
        • 0ix Ferrara
        • 0iy Rimini
        • 0iz Siracusa
        • 0j0 Bergamo
        • 0j1 Forli
        • 0j2 Latina
        • 0j3 Vicenza
        • 0j4 Terni
        • 0j5 Novara
        • 0j6 Alexandria
        • 0j7 Arezzo
        • 0j8 Grosseto
        • 0j9 Toast
        • 0ja Trapani
        • 0jb Ragusa
        • 0jc Andria
        • 0jd Trani
        • 0je L'Aquila
      • Japan
        • 0jf Japan
        • 0jg Tokyo
        • 0jh Osaka
        • 0ji Nagoya
        • 0jj Fukuoka
        • 0jk Sapporo
        • 0jl Sendai
        • 0jm Okayama
        • 0jn Hiroshima
        • 0jo Kitakyushu
        • 0jp Naha
        • 0jq Kumamoto
        • 0jr Yokkaichi
        • 0js Takasaki
        • 0jt Hamamatsu
        • 0ju Niigata
        • 0jv Utsunomiya
        • 0jw Kanazawa
        • 0jx Oita
        • 0jy Kagoshima
        • 0jz Himeji
        • 0k0 Mito
        • 0k1 Shizuoka
        • 0k2 Toyohashi
        • 0k3 Nagasaki
        • 0k4 Matsuyama
        • 0k5 Toyama
        • 0k6 Kofu
        • 0k7 Takamatsu
        • 0k8 Nagano
        • 0k9 Tokushima
        • 0ka Numazu
        • 0kb Fukui
        • 0kc Wakayama
        • 0kd Koriyama
        • 0ke Kochi
        • 0kf Miyazaki
        • 0kg Morioka
        • 0kh Fujieda
        • 0ki Fukushima
        • 0kj Matsumoto
        • 0kk Yamagata
        • 0kl Kurume
        • 0km Akita
        • 0kn Asahikawa
        • 0ko Kusatsu
        • 0kp Fuji
        • 0kq Isesaki
        • 0kr Hakodate
        • 0ks Hachinohe
        • 0kt Hitachi
        • 0ku Aomori
        • 0kv Shimonoseki
        • 0kw Obihiro
        • 0kx Shunan
        • 0ky Ube
        • 0kz Yonago
        • 0l0 Ashikaga
        • 0l1 Omuta
        • 0l2 Marugame
        • 0l3 Kushiro
        • 0l4 Tomakomai
      • Korea
        • 0l5 Korea
        • 0l6 Seoul
        • 0l7 Gimhae
        • 0l8 Dalseong
        • 0l9 Gwangsan
        • 0la Seo
        • 0lb Seongsan
        • 0lc Ulsan
        • 0ld Heungdeok
        • 0le Deokjin
        • 0lf Sebuk
        • 0lg Gyeongsan
        • 0lh Pohan
        • 0li Gumi
        • 0lj Jeju
        • 0lk Jinju
        • 0ll Wonju
        • 0lm Iksan
        • 0ln Chuncheon
        • 0lo Gunsan
        • 0lp Suncheon
        • 0lq Gangneung
        • 0lr Naju
      • Lithuania
        • 0ls Lithuania
        • 0lt Vilnius
        • 0lu Kaunas
        • 0lv Panevezys
        • 0lw Alytus
        • 0lx Klaipeda
        • 0ly Siauliai
      • Luxembourg
        • 0lz Luxembourg
        • 0m0 Luxembourg
      • Latvia
        • 0m1 Latvia
        • 0m2 Riga
        • 0m3 Liepaja
        • 0m4 Jelgava
        • 0m5 Daugavpils
      • Mexico
        • 0m6 Mexico
        • 0m7 Mexico City
        • 0m8 Guadalajara
        • 0m9 Monterrey
        • 0ma Puebla
        • 0mb Toluca
        • 0mc Tijuana
        • 0md Leon
        • 0me Queretaro
        • 0mf Merida
        • 0mg Juarez
        • 0mh San Luis Potosi
        • 0mi Torreon
        • 0mj Mexicali
        • 0mk Cuernavaca
        • 0ml Villahermosa
        • 0mm Culiacan
        • 0mn Morelia
        • 0mo Chihuahua
        • 0mp Veracruz
        • 0mq Hermosillo
        • 0mr Aguascalientes
        • 0ms Acapulco de Juarez
        • 0mt Tampico
        • 0mu Oaxaca de Juarez
        • 0mv Reynosa
        • 0mw Xalapa
        • 0mx Saltillo
        • 0my Benito Juarez
        • 0mz Celaya
        • 0n0 Durango
        • 0n1 Tuxtla Gutierrez
        • 0n2 Pachuca de Soto
        • 0n3 Irapuato
        • 0n4 Ahome
        • 0n5 Matamoros
        • 0n6 Ensenada
        • 0n7 Poza Rica de Hidalgo
        • 0n8 Tepic
        • 0n9 Orizaba
        • 0na Mazatlan
        • 0nb Cajeme
        • 0nc Nuevo Laredo
        • 0nd Guadalupe
        • 0ne Coatzacoalcos
        • 0nf Tapachula
        • 0ng Victoria
        • 0nh Tlaxcala
        • 0ni Cordoba
        • 0nj Uruapan
        • 0nk Tehuacan
        • 0nl Minatitlan
        • 0nm Cuautla
        • 0nn Chilpancingo de los Bravo
        • 0no Monclova
        • 0np Los Cabos
        • 0nq Colima
        • 0nr La Paz
        • 0ns Campeche
        • 0nt Puerto Vallarta
        • 0nu Salamanca
        • 0nv San Juan del Rio
        • 0nw Zamora
        • 0nx Tulancingo de Bravo
        • 0ny Carmen
        • 0nz Nogales
        • 0o0 Othon P. Blanco
        • 0o1 Fresnillo
        • 0o2 San Cristobal de las Casas
        • 0o3 Solidaridad
        • 0o4 Apizaco
        • 0o5 San Luis Rio Colorado
        • 0o6 San Francisco del Rincon
        • 0o7 San Martin Texmelucan
        • 0o8 Lazaro Cardenas
        • 0o9 Ciudad Valles
        • 0oa Tianguistenco
        • 0ob Cuauhtemoc
        • 0oc Navojoa
        • 0od Zitacuaro
        • 0oe Lagos de Moreno
        • 0of Piedras Negras
        • 0og Comitan de Dominguez
        • 0oh Delicias
        • 0oi Tuxpan
        • 0oj Iguala de la Independencia
        • 0ok Acuna
        • 0ol Uriangato
        • 0om Teziutlan
        • 0on Apatzingan
        • 0oo Zapotlan el Grande
        • 0op Hidalgo del Parral
        • 0oq Chiautla
      • Malta
        • 0or Malta
        • 0os Malta
      • Netherlands
        • 0ot Netherlands
        • 0ou The Hague
        • 0ov Amsterdam
        • 0ow Rotterdam
        • 0ox Utrecht
        • 0oy Eindhoven
        • 0oz Tilburg
        • 0p0 Groningen
        • 0p1 Enschede
        • 0p2 Arnhem
        • 0p3 Heerlen
        • 0p4 Breda
        • 0p5 Nijmegen
        • 0p6 Apeldoorn
        • 0p7 Leeuwarden
        • 0p8 Sittard-Geleen
        • 0p9 Roosendaal
        • 0pa Alphen aan den Rijn
        • 0pb Bergen op Zoom
        • 0pc Gouda
        • 0pd Middelburg
        • 0pe s-Hertogenbosch
        • 0pf Amersfoort
        • 0pg Maastricht
        • 0ph Leiden
        • 0pi Zwolle
        • 0pj Ede
        • 0pk Deventer
        • 0pl Alkmaar
        • 0pm Venlo
        • 0pn Almelo
        • 0po Lelystad
        • 0pp Oss
        • 0pq Assen
        • 0pr Veenendaal
        • 0ps Greater Soest   
      • Norway
        • 0pt Norway
        • 0pu Oslo
        • 0pv Bergen
        • 0pw Trondheim
        • 0px Stavanger
        • 0py Kristiansand
        • 0pz Tromso
      • New Zealand
        • 0q0 New Zealand
        • 0q1 Auckland
        • 0q2 Christchurch
        • 0q3 Wellington
        • 0q4 Hamilton
        • 0q5 Tauranga
        • 0q6 Dunedin
        • 0q7 Palmerston North
        • 0q8 New Plymouth
        • 0q9 Nelson
        • 0qa Whangarei
        • 0qb Hastings
        • 0qc Rotorua
        • 0qd Napier
        • 0qe Invercargill
      • Poland
        • 0qf Poland
        • 0qg Warsaw
        • 0qh Lodz
        • 0qi Cracow
        • 0qj Wroclaw
        • 0qk Poznan
        • 0ql Gdansk
        • 0qm Szczecin
        • 0qn Bydgoszcz
        • 0qo Lublin
        • 0qp Katowice
        • 0qq Bialystok
        • 0qr Kielce
        • 0qs Torun
        • 0qt Olsztyn
        • 0qu Rzeszow
        • 0qv Opole
        • 0qw Gorzow Wielkopolski
        • 0qx Zielona Gora
        • 0qy Jelenia Gora
        • 0qz Nowy Sacz
        • 0r0 Suwalki
        • 0r1 Konin
        • 0r2 Czestochowa
        • 0r3 Radom
        • 0r4 Plock
        • 0r5 Kalisz
        • 0r6 Koszalin
        • 0r7 Slupsk
        • 0r8 Jastrzebie Zdroj
        • 0r9 Siedlce
        • 0ra Piotrkow Trybunalski
        • 0rb Lubin
        • 0rc Pila
        • 0rd Inowroclaw
        • 0re Ostrowiec Swietokrzyski
        • 0rf Gniezno
        • 0rg Stargard Szczecinski
        • 0rh Ostrow Wielkopolski
        • 0ri Przemysl
        • 0rj Zamosc
        • 0rk Chelm
        • 0rl Pabianice
        • 0rm Glogow
        • 0rn Stalowa Wola
        • 0ro Tomaszow Mazowiecki
        • 0rp Lomza
        • 0rq Leszno
        • 0rr Swidnica
        • 0rs Tczew
        • 0rt Elk
        • 0ru Bielsko-Biala
        • 0rv Rybnik
        • 0rw Walbrzych
        • 0rx Elblag
        • 0ry Wloclawek
        • 0rz Tarnow
        • 0s0 Legnica
        • 0s1 Grudziadz
      • Portugal
        • 0s2 Portugal
        • 0s3 Lisbon
        • 0s4 Porto
        • 0s5 Braga
        • 0s6 Funchal
        • 0s7 Coimbra
        • 0s8 Ponta Delgada
        • 0s9 Aveiro
        • 0sa Faro
        • 0sb Viseu
        • 0sc Viana do Castelo
        • 0sd Povoa de Varzim
        • 0se Guimaraes
      • Romania
        • 0sf Romania
        • 0sg Copaceni
        • 0sh Floresti
        • 0si Giroc
        • 0sj Simnicu De Sus
        • 0sk Chiscani
        • 0sl Sintandrei
        • 0sm Margineni
        • 0sn Vladimirescu
        • 0so Oras Cisnadie
        • 0sp Sintana De Mures
        • 0sq Savinesti
        • 0sr Modelu
        • 0ss Slobozia
        • 0st Municipiul Sebes
        • 0su Rastoaca
        • 0sv Dragutesti
        • 0sw Somova
        • 0sx Ulmi
        • 0sy Slatioara
        • 0sz Zorleni
        • 0t0 Sabaoani
        • 0t1 Sieu-Magherus
        • 0t2 Valu Lui Traian
        • 0t3 Schitu Duca
        • 0t4 Tulucesti
        • 0t5 Sinpetru
        • 0t6 Tirgsoru Vechi
        • 0t7 Oras Stefanesti
        • 0t8 Oras Baia Sprie
        • 0t9 Vernesti
        • 0ta Viile Satu Mare
        • 0tb Mihai Eminescu
        • 0tc Vladesti
        • 0td Scheia
        • 0te Izvoru Birzii
      • Slovak Republic
        • 0tf Slovak Republic
        • 0tg Bratislava
        • 0th Kosice
        • 0ti Banska Bystrica
        • 0tj Nitra
        • 0tk Presov
        • 0tl Zilina
        • 0tm Trnava
        • 0tn Trencin
      • Slovenia
        • 0to Slovenia
        • 0tp Ljubljana
        • 0tq Maribor
      • Sweden
        • 0tr Sweden
        • 0ts Stockholm
        • 0tt Gothenburg
        • 0tu Malmo
        • 0tv Jonkoping
        • 0tw Umea
        • 0tx Uppsala
        • 0ty Linkoping
        • 0tz Orebro
        • 0u0 Vasteras
        • 0u1 Norrkoping
        • 0u2 Helsingborg
        • 0u3 Boras
      • Türkiye
        • 0u4 Türkiye
        • 0u5 Ankara
        • 0u6 Adana
        • 0u7 Antalya
        • 0u8 Balikesir
        • 0u9 Bursa
        • 0ua Denizli
        • 0ub Diyarbakir
        • 0uc Edirne
        • 0ud Erzurum
        • 0ue Gaziantep
        • 0uf Hatay
        • 0ug Istanbul
        • 0uh Izmir
        • 0ui Kars
        • 0uj Kastamonu
        • 0uk Kayseri
        • 0ul Kocaeli
        • 0um Konya
        • 0un Malatya
        • 0uo Manisa
        • 0up Nevsehir
        • 0uq Samsun
        • 0ur Siirt
        • 0us Trabzon
        • 0ut Van
        • 0uu Zonguldak
      • United States
        • 0uv United States
        • 0uw New York (Greater)
        • 0ux Los Angeles (Greater)
        • 0uy Chicago
        • 0uz Washington (Greater)
        • 0v0 San Francisco (Greater)
        • 0v1 Philadelphia (Greater)
        • 0v2 Dallas
        • 0v3 Houston
        • 0v4 Miami (Greater)
        • 0v5 Atlanta
        • 0v6 Boston
        • 0v7 Phoenix
        • 0v8 Detroit (Greater)
        • 0v9 Seattle
        • 0va Minneapolis
        • 0vb San Diego
        • 0vc St. Louis
        • 0vd Denver
        • 0ve San Antonio
        • 0vf Portland
        • 0vg Cincinnati
        • 0vh Las Vegas
        • 0vi Orange
        • 0vj Jackson (MO)
        • 0vk Indianapolis
        • 0vl Cuyahoga
        • 0vm New Haven
        • 0vn Charlotte
        • 0vo Sacramento
        • 0vp Austin
        • 0vq Columbus
        • 0vr Milwaukee
        • 0vs Jacksonville
        • 0vt Salt Lake
        • 0vu Tampa-Pinellas
        • 0vv Jefferson (KY)
        • 0vw Memphis
        • 0vx Davidson
        • 0vy Oklahoma
        • 0vz Hartford
        • 0w0 Pittsburgh
        • 0w1 New Orleans
        • 0w2 Virginia Beach
        • 0w3 Erie (NY)
        • 0w4 Fresno (Greater)
        • 0w5 Richmond (Greater)
        • 0w6 Wake
        • 0w7 Jefferson (AL)
        • 0w8 Tampa-Hillsborough
        • 0w9 Pima
        • 0wa Tulsa
        • 0wb Albany
        • 0wc Providence
        • 0wd Albuquerque
        • 0we Douglas (NE)
        • 0wf Rochester (NY)
        • 0wg Kern
        • 0wh Ventura
        • 0wi El Paso (TX)
        • 0wj East Baton Rouge
        • 0wk Worcester
        • 0wl Hidalgo
        • 0wm Richland
        • 0wn Lehigh
        • 0wo Sarasota
        • 0wp Montgomery (OH)
        • 0wq San Joaquin
        • 0wr Kent
        • 0ws Charleston
        • 0wt Onondaga
        • 0wu El Paso (CO)
        • 0wv Ada
        • 0ww Hampden
        • 0wx Lee
        • 0wy Sedgwick
        • 0wz Polk
        • 0x0 Dauphin
        • 0x1 Lucas
        • 0x2 Pulaski
        • 0x3 Dane
        • 0x4 Brevard
        • 0x5 Summit
        • 0x6 Hamilton (TN)
        • 0x7 Utah
        • 0x8 Lancaster (PA)
        • 0x9 Stanislaus
        • 0xa Greene
        • 0xb Fayette
        • 0xc Spokane
        • 0xd Volusia-Daytona Beach
        • 0xe Guilford
        • 0xf Sonoma
        • 0xg Forsyth
        • 0xh Washoe
        • 0xi Ingham
        • 0xj Montgomery (AL)
        • 0xk Knox
        • 0xl Greenville
        • 0xm Mahoning
        • 0xn Escambia
        • 0xo Caddo
        • 0xp Tulare
        • 0xq Newport News
        • 0xr York
        • 0xs Genesee
        • 0xt Jefferson (TX)
        • 0xu Santa Barbara
        • 0xv Lafayette
        • 0xw Monterey
        • 0xx Mobile
        • 0xy Berks
        • 0xz Cameron
        • 0y0 Bell
        • 0y1 Nueces
        • 0y2 Marion (OR)
        • 0y3 Allen
        • 0y4 Scott
        • 0y5 Stark
        • 0y6 Tallahassee
        • 0y7 Cumberland (NC)
        • 0y8 Lane
        • 0y9 Winnebago (IL)
        • 0ya Chatham
        • 0yb Vanderburgh
        • 0yc Washtenaw
        • 0yd Lubbock
        • 0ye Madison
        • 0yf Marion (FL)
        • 0yg Peoria
        • 0yh Collier
        • 0yi Luzerne
        • 0yj Lancaster (NE)
        • 0yk Thurston
        • 0yl Sebastian
        • 0ym Roanoke
        • 0yn Muscogee
        • 0yo Brown
        • 0yp Alachua
        • 0yq Larimer
        • 0yr Boulder
        • 0ys Potter
        • 0yt Cumberland (ME)
        • 0yu Erie (PA)
        • 0yv St. Lucie
        • 0yw Nashville
        • 0yx Atlantic City
        • 0yy McLennan
        • 0yz Durham
        • 0z0 Lackawanna
        • 0z1 St. Joseph
        • 0z2 Santa Cruz
        • 0z3 Webb
        • 0z4 Minnehaha
        • 0z5 Merced
        • 0z6 Benton (WA)
        • 0z7 Weld
        • 0z8 Kalamazoo
        • 0z9 Butte
        • 0za Sangamon
        • 0zb Yakima
        • 0zc Brazos
        • 0zd Tuscaloosa
        • 0ze Champaign
        • 0zf Linn
        • 0zg Lafayette (IN)
        • 0zh Shawnee
        • 0zi Weber
        • 0zj Outagamie
        • 0zk Cass
        • 0zl Benton (AR)
        • 0zm Las Cruces
        • 0zn Rochester (MN)
        • 0zo Jackson (OR)
        • 0zp New Hanover
        • 0zq Whatcom
        • 0zr Broome
        • 0zs Saginaw
        • 0zt Yuma
        • 0zu Racine
        • 0zv Punta Gorda
        • 0zw Benton (MN)
        • 0zx Harrison
        • 0zy McLean
        • 0zz Woodbury
        • 100 Tampa-Hernando
        • 101 Muskegon
        • 102 Johnson
        • 103 Taylor
        • 104 Pitt
        • 105 Winnebago (WI)
        • 106 Sutter
        • 107 Rock
        • 108 Pueblo
        • 109 Centre
        • 10a Yellowstone
        • 10b Wichita
        • 10c Washington (MD)
        • 10d Mesa
        • 10e Midland
        • 10f Ector
        • 10g Comanche
        • 10h Indian River
        • 10i Monroe (IN)
        • 10j Napa
        • 10k Delaware
        • 10l Kankakee
        • 10m Terrebonne
        • 10n Douglas (KS)
        • 10o Flagler-Daytona Beach
        • 10p Sumter
        • 10q Maverick
    • Variables
      • Territorial organization
        • Population density (inhabitants per km2)
          • 00 Population density (inhabitants per km2)
          • 01 Population density of the core area (inhabitants per km2)
          • 02 Population density of the hinterland area (inhabitants per km2)
        • Metropolitan area total land area
          • 03 Metropolitan area total land area
          • 04 Metropolitan area core land area
          • 05 Core land area as a share of the total metropolitan land area
          • 06 Metropolitan area hinterland land area
          • 07 Hinterland land area as a share of the total metropolitan land area
        • Urbanised area (built-up area or land for urban use in km2)
          • 08 Urbanised area (built-up area or land for urban use in km2)
          • 09 Urbanised area of the core area (km2)
          • 0a Urbanised area of the hinterland area (km2)
        • 0b Urbanised area per capita (m2 per capita)
        • 0c Average population size of local governments
        • 0d Territorial fragmentation (local governments per 100 000 inhabitants)
        • 0e Local governments (count)
        • 0f Polycentricity (1=yes, 0=no)
      • Population and area
        • Population, all ages, administrative data
          • 0g Population, all ages, administrative data
          • 0h Population of the core area
          • 0i Population of the hinterland area
        • 0j Growth/shrinking index of the total population (2001=100)
        • 0k Population of the metropolitan area as a share of the national population
        • 0l Youth population group (0-14)
        • 0m Working age population group (15-64)
        • 0n Elderly population group (65+)
        • 0o Youth dependency ratio (-15 over population 15-64)
        • 0p Elderly dependency ratio (65+ over population 15-64)
      • Labour
        • 0q Labour force (15-64 years old)
        • Participation rate (labour force 15-64 over population 15-64)
          • 0r Participation rate (labour force 15-64 over population 15-64)
          • 0s Participation rate growth index (2001=100), 15-64 years old
          • 0t Participation rate growth index (2007=100), 15-64 years old
        • 0u Employment (15-64 years old)
        • Employment rate (employment 15-64 over population 15-64)
          • 0v Employment rate (employment 15-64 over population 15-64)
          • 0w Employment rate growth index (2001=100), 15-64 years old
          • 0x Employment rate growth index (2007=100), 15-64 years old
        • 0y Unemployment (15-64 years old)
        • Unemployment rate (unemployment 15-64 over labour force 15-64)
          • 0z Unemployment rate (unemployment 15-64 over labour force 15-64)
          • 10 Unemployment rate growth index (2007=100), 15-64 years old
        • 11 Labour force (15 years old and over)
        • Participation rate (labour force 15+ over population 15+)
          • 12 Participation rate (labour force 15+ over population 15+)
          • 13 Participation rate growth index (2001=100), 15 years old and over
          • 14 Participation rate growth index (2007=100), 15 years old and over
        • 15 Employment (15 years old and over)
        • Employment rate (employment 15+ over population 15+)
          • 16 Employment rate (employment 15+ over population 15+)
          • 17 Employment rate growth index (2001=100), 15 years old and over
          • 18 Employment rate growth index (2007=100), 15 years old and over
        • 19 Unemployment (15 years old and over)
        • Unemployment rate (unemployment 15+ over labour force 15+)
          • 1a Unemployment rate (unemployment 15+ over labour force 15+)
          • 1b Unemployment rate growth index (2007=100), 15 years old and over
      • Economy
        • 1c GDP (Million USD, constant prices, constant PPP, base year 2015)
        • 1d GDP of the metropolitan area as a share of the national GDP
        • 1e GDP per capita (USD, constant prices, constant PPP, base year 2015)
        • 1f Employment at place of work
        • 1g Labour productivity (GDP per worker in USD, constant prices, constant PPP, base year 2015)
      • Income distribution
        • 1h Gini (at disposable income, after taxes and transfers)
        • 1i Disposable Income per equivalised household (in USD constant prices, constant PPP, base year 2010)
        • 1j Poverty rate after taxes and transfers, poverty line 60%
      • Digitalization
        • 1k Share of households having access to cable (CATV)
        • 1l Share of households having a downloading speed of at least 30 Mbits/s
        • 1m Share of households having a downloading/uploading speed of at least 100/10 Mbits/s
        • 1n Share of households having a downloading/uploading speed of at least 1000/100 Mbits/s
        • 1o Share of households having a downloading/uploading speed of at least 25/3 Mbits/s
        • 1p Share of households having a downloading/uploading speed of at least 250/25 Mbits/s
        • 1q Share of households having access to fiber (FTTH, FTTB)
        • 1r Share of households having access to Wi-MAX
        • 1s Share of households having access to ADSL, SDSL, or HDSL
      • Crime
        • 1t Annual reported homicides
        • 1u Homicide rate (reported homicides per 100,000 inhabitants)
      • Environment
        • Air pollution
          • Mean population exposure to PM2.5 air pollution
            • 1v Mean population exposure to PM2.5 air pollution
            • 1w Mean population exposure to PM2.5 air pollution in the city
          • Share of population exposed to a level of PM2.5 above 5 µg/m3
            • 1x Share of population exposed to a level of PM2.5 above 5 µg/m3
            • 1y Share of population in the city exposed to a level of PM2.5 above 5 µg/m3
          • Share of population exposed to a level of PM2.5 above 10 µg/m3
            • 1z Share of population exposed to a level of PM2.5 above 10 µg/m3
            • 20 Share of population in the city exposed to a level of PM2.5 above 10 µg/m3
          • Share of population exposed to a level of PM2.5 above 15 µg/m3
            • 21 Share of population exposed to a level of PM2.5 above 15 µg/m3
            • 22 Share of population in the city exposed to a level of PM2.5 above 15 µg/m3
          • Share of population exposed to a level of PM2.5 above 25 µg/m3
            • 23 Share of population exposed to a level of PM2.5 above 25 µg/m3
            • 24 Share of population in the city exposed to a level of PM2.5 above 25 µg/m3
          • Share of population exposed to a level of PM2.5 above 35 µg/m3
            • 25 Share of population exposed to a level of PM2.5 above 35 µg/m3
            • 26 Share of population in the city exposed to a level of PM2.5 above 35 µg/m3
        • 27 Total protected area, including all IUCN management categories (in km2)
        • 28 Protected area, as a share of the metropolitan land area
        • 29 Total coastal protected area (protected area located within 50km from the coast, in km2)
        • 2a Coastal protected area, as a share of the metropolitan land area
        • Access to public transport: Share of population having access to a public transport stop within 10 minutes
          • 2b Access to public transport: Share of population having access to a public transport stop within 10 minutes
          • 2c Share of population having access to a metro or tram stop within 10 minutes
          • 2d Share of population having access to a bus stop within 10 minutes
        • Green areas
          • 2e Share of green areas in FUA's urban centres
          • 2f Green area per capita (in sqm per capita)
          • 2g Tree cover, as a share of the metropolitan core area
      • Climate hazards
        • Flooding
          • River flooding
            • Population exposure to river flooding
              • 2h Share of population exposed to river flooding, 10-year return period
              • 2i Share of population exposed to river flooding, 20-year return period
              • 2j Share of population esposed to river flooding, 50-year return period
              • 2k Share of population exposed to river flooding, 100-year return period
            • Built-up area exposed to river flooding
              • 2l Share of built-up area exposed to river flooding, 10-year return period
              • 2m Share of built-up area exposed to river flooding, 20-year return period
              • 2n Share of built-up area exposed to river flooding, 50-year return period
              • 2o Share of built-up area exposed to river flooding, 100-year return period
          • Coastal flooding
            • Population exposure to coastal flooding
              • 2p Share of population exposed to coastal flooding, 10-year return period
              • 2q Share of population exposed to coastal flooding, 25-year return period
              • 2r Share of population esposed to coastal flooding, 50-year return period
              • 2s Share of population exposed to coastal flooding, 100-year return period
            • Built-up area exposed to coastal flooding
              • 2t Share of built-up area exposed to coastal flooding, 10-year return period
              • 2u Share of built-up area exposed to coastal flooding, 25-year return period
              • 2v Share of built-up area exposed to coastal flooding, 50-year return period
              • 2w Share of built-up area exposed to coastal flooding, 100-year return period
        • Heat stress
          • 2x 32°C)
          • 2y 38°C)
          • 2z 46°C)
          • 30 32°C) compared to the 1981-2010 average
          • 31 38°C) compared to the 1981-2010 average
          • 32 46°C) compared to the 1981-2010 average
        • Wildfires
          • 33 Share of population exposed to at least one forest fire
          • 34 Area burned as a share of total area
          • 35 Built-up area burned as a share of total built-up area
        • Urban heat island
          • 36 Daytime urban heat island: difference in land surface temperature (in °C) between the built-up area and its surroundings
          • 37 Nightime urban heat island: difference in land surface temperature (in °C) between the built-up area and its surroundings
          • 38 Summer daytime urban heat island: difference in land surface temperature (in °C) between the built-up area and its surroundings
          • 39 Summer nighttime urban heat island: difference in land surface temperature (in °C) between the built-up area and its surroundings
        • Heating and cooling degree days
          • 3a Cooling degree days (Sum over a year of the differences between the daily mean outdoor air temperature and the threshold temperature (22°C) when the daily mean outdoor temperature is above 22°C)
          • 3b Heating degree days (Sum over a year of the differences between the threshold temperature (15.5°C) and the daily mean outdoor temperature when the daily mean outdoor temperature is below 15.5°C)
          • 3c Additional cooling degree days, compared to 1981-2010
          • 3d Additional heating degree days, compared to 1981-2010
      • Land use
        • Built-up area per capita (in sqm per capita)
          • 3e Built-up area per capita (in sqm per capita)
          • 3f Built-up area per capita in the city (in sqm per capita)
          • 3g Built-up area per capita in the commuting zone (in sqm per capita)
        • Residential area per capita (in sqm per capita)
          • 3h Residential area per capita (in sqm per capita)
          • 3i Residential area per capita in the city (in sqm per capita)
          • 3j Residential area per capita in the commuting zone (in sqm per capita)
        • Commercial area per capita (in sqm per capita)
          • 3k Commercial area per capita (in sqm per capita)
          • 3l Commercial area per capita in the city (in sqm per capita)
          • 3m Commercial area per capita in the commuting zone (in sqm per capita)
        • 3n Average building height (in m)
        • 3o Average building height in the city (in m)
        • 3p Average building height in the commuting zone (in m)