English original 
Automated Translation: 
 
 
METRO BITS - Unearthing the world's subway highlightsMETRO BITS - Unearthing the world's subway highlights


  



Printer-friendly Printer-friendly






World Metro Database

You might want to start with one of the predefined tables (Basics, Numerics, Features, Complete), then add columns or click to remove a column. Move columns < left or > right. Click headers to sort, click again to reverse sorting direction. Switch unit to miles if desired. Right-click here to bookmark current World Metro Table.

A list like this one and the metro systems that appear in it may always remain somewhat controversial. One reason is that definitions of what a metro is may vary according to whom you ask (a popular definition is here). Differences between commuter rail, metros and trams are increasingly fading as new hybrid trains allow metros to include sections in streets or shared with heavy rail. In other cases, metros have gradually evolved from former tram or rail lines, so it is sometimes difficult to tell the actual length or date of inauguration of the metro system.

Stations* with an asterisk counts each interchange station as one. Passenger numbers are annual. Ticket prices are for 10 km or 10 stops Price of a single ticket for the public transport network (bus, streetcar or metro) for a journey of approx. 10 km/6 miles or at least 10 stops (2009). Only one logo per city is displayed.



Add column after Length:   Unit: km mi


#
 Length >
<Stations >
<Stations* >
<Lines >
<km/stn* >
<km/line >
<stns/line >
<Passengers >
<Pass/km
11.5 km3310.481.53.0
21.8 km6610.291.86.0
32.2 km4410.552.24.0
42.2 km5510.442.25.0
53.0 km7710.433.07.0
63.3 km2211.653.32.0
73.8 km6610.633.86.0
84.0 km111100.36
94.8 km131310.374.813.0
105.2 km7710.745.27.0
115.2 km7740.741.31.8
125.5 km9910.615.59.0
136.1 km6611.026.16.0
146.2 km7710.896.27.018 mio.2,903,000
156.2 km7710.896.27.0
166.5 km6611.086.56.0
176.6 km8810.826.68.0
186.9 km6611.156.96.0
197.1 km6611.187.16.011 mio.1,549,000
207.6 km111120.693.85.5
218.0 km8811.008.08.0
228.3 km6611.388.36.07 mio.843,000
238.3 km9910.928.39.0
248.4 km8811.048.48.0
258.5 km7711.218.57.046 mio.5,412,000
268.8 km131310.688.813.0
279.0 km151510.609.015.023 mio.2,556,000
289.0 km121210.759.012.0
299.0 km131220.754.56.5
309.6 km141420.684.87.0
319.6 km141410.699.614.0
3210.0 km6611.6710.06.0
3310.2 km9911.1310.29.012 mio.1,176,000
3410.2 km101011.0210.210.0
3510.4 km151510.6910.415.015 mio.1,442,000
3611.5 km101011.1511.510.030 mio.2,609,000
3712.1 km101011.2112.110.017 mio.1,405,000
3812.8 km151510.8512.815.0
3913.1 km111111.1913.111.0
4013.3 km202010.6713.320.0
4113.7 km292820.496.814.5
4214.3 km131221.197.26.570 mio.4,895,000
4314.3 km131321.107.26.5
4414.5 km161610.9114.516.0
4514.8 km171710.8714.817.058 mio.3,919,000
4615.0 km101011.5015.010.068 mio.4,533,000
4715.5 km181820.867.89.0
4815.5 km141321.197.87.033 mio.2,129,000
4916.0 km191910.8416.019.0
5017.0 km161611.0617.016.0
5117.2 km161611.0817.216.09 mio.523,000
5217.5 km202040.884.45.0
5318.0 km121211.5018.012.0
5418.0 km141411.2918.014.051 mio.2,833,000
5518.0 km212110.8618.021.0
5618.4 km212110.8818.421.018 mio.978,000
5718.6 km211731.096.27.0
5819.3 km262420.809.613.058 mio.3,005,000
5919.5 km181811.0819.518.0
6020.1 km202011.0120.120.017 mio.846,000
6120.2 km272730.756.79.0
6220.5 km312730.766.810.3
6321.0 km222220.9510.511.037 mio.1,762,000
6421.0 km171711.2421.017.058 mio.2,762,000
6521.5 km292720.8010.814.5
6621.7 km151421.5510.97.5
6721.7 km161611.3621.716.0102 mio.4,700,000
6822.1 km141431.587.44.7
6922.2 km181811.2322.218.0
7022.2 km121211.8522.212.0
7122.5 km232310.9822.523.0
7222.5 km161521.5011.38.035 mio.1,556,000
7322.6 km212111.0822.621.0114 mio.5,044,000
7422.6 km212111.0822.621.0100 mio.4,425,000
7522.6 km222211.0322.622.029 mio.1,283,000
7623.1 km232221.0511.611.5113 mio.4,892,000
7724.0 km292820.8612.014.5
7824.0 km191721.4112.09.5
7924.5 km141411.7524.514.014 mio.571,000
8025.3 km232221.1512.611.573 mio.2,885,000
8126.3 km222121.2513.111.092 mio.3,498,000
8227.0 km171711.5927.017.0
8327.5 km383720.7413.819.042 mio.1,527,000
8427.9 km303030.939.310.0
8528.1 km191911.4828.119.0
8628.8 km262521.1514.413.0155 mio.5,382,000
8729.5 km373730.809.812.3
8829.5 km292911.0229.529.073 mio.2,475,000
8929.8 km353430.889.911.7124 mio.4,161,000
9030.3 km252421.2615.112.5262 mio.8,647,000
9130.6 km262421.2815.313.0121 mio.3,954,000
9230.7 km433940.797.710.8182 mio.5,928,000
9331.0 km181811.7231.018.06 mio.194,000
9431.3 km323121.0115.616.0126 mio.4,026,000
9531.5 km323121.0215.816.0
9631.8 km302831.1410.610.029 mio.912,000
9731.8 km383730.8610.612.7
9832.2 km615930.5510.720.3136 mio.4,224,000
9932.7 km333340.998.28.391 mio.2,783,000
10032.9 km222121.5616.411.0176 mio.5,356,000
10133.0 km424030.8311.014.0297 mio.9,000,000
10233.8 km171711.9933.817.0
10334.6 km464430.7911.515.392 mio.2,659,000
10435.3 km282531.4111.89.3278 mio.7,875,000
10536.0 km222211.6436.022.019 mio.528,000
10636.2 km292631.3912.19.771 mio.1,961,000
10739.0 km494820.8119.524.5331 mio.8,487,000
10839.7 km302821.4219.915.0
10939.7 km111113.6139.711.0
11040.6 km383821.0720.319.086 mio.2,118,000
11141.0 km524640.8910.313.0180 mio.4,390,000
11242.0 km343421.2421.017.0135 mio.3,214,000
11342.0 km232311.8342.023.016 mio.381,000
11442.7 km373621.1921.418.530 mio.703,000
11543.0 km202012.1543.020.0
11645.0 km5151150.883.03.4
11745.5 km626020.7622.831.074 mio.1,626,000
11845.7 km423931.1715.214.0346 mio.7,571,000
11946.3 km444031.1615.414.7206 mio.4,449,000
12047.0 km383721.2723.519.085 mio.1,809,000
12147.5 km766860.707.912.7280 mio.5,895,000
12248.0 km494631.0416.016.3209 mio.4,354,000
12349.0 km121214.0849.012.0
12450.5 km474431.1516.815.7353 mio.6,990,000
12552.0 km524831.0817.317.3325 mio.6,250,000
12653.9 km565520.9827.028.0110 mio.2,041,000
12757.6 km484531.2819.216.0198 mio.3,438,000
12859.1 km575431.0919.719.0597 mio.10,102,000
12959.3 km303031.9819.810.045 mio.759,000
13059.8 km464331.3919.915.3642 mio.10,736,000
13160.5 km504651.3212.110.0510 mio.8,430,000
13260.5 km666031.0120.222.0145 mio.2,397,000
13361.3 km585541.1115.314.5684 mio.11,158,000
13462.0 km727250.8612.414.464 mio.1,032,000
13562.0 km666231.0020.722.067 mio.1,081,000
13664.0 km605631.1421.320.0109 mio.1,703,000
13765.5 km555321.2432.827.5700 mio.10,687,000
13867.7 km504341.5716.912.5111 mio.1,640,000
13969.2 km736841.0217.318.3219 mio.3,165,000
14069.5 km494731.4823.216.374 mio.1,065,000
14169.8 km968450.8314.019.2498 mio.7,135,000
14271.3 km746941.0317.818.5278 mio.3,899,000
14372.0 km373721.9536.018.515 mio.208,000
14473.4 km373721.9836.718.5
14574.6 km888430.8924.929.3328 mio.4,397,000
14676.5 km615021.5338.330.538 mio.497,000
14779.2 km393822.0839.619.534 mio.429,000
14883.0 km938650.9716.618.6642 mio.7,735,000
14989.0 km938241.0922.323.3427 mio.4,798,000
15090.6 km858081.1311.310.6450 mio.4,967,000
15192.5 km1009460.9815.416.7349 mio.3,773,000
15295.0 km928831.0831.730.7257 mio.2,705,000
15396.2 km838131.1932.127.7310 mio.3,224,000
154100.7 km978931.1333.632.3184 mio.1,827,000
155105.7 km10410031.0635.234.7303 mio.2,867,000
156110.2 km635552.0022.012.6832 mio.7,550,000
157110.5 km152128100.8611.115.2378 mio.3,421,000
158118.9 km766941.7229.719.0571 mio.4,802,000
159137.8 km13310491.3315.314.8860 mio.6,241,000
160147.4 km195173100.8514.719.5447 mio.3,033,000
161148.5 km887951.8829.717.6601 mio.4,047,000
162166.0 km15114481.1520.818.9198 mio.1,193,000
163166.9 km434353.8833.48.6100 mio.599,000
164171.0 km737352.3434.214.6
165171.2 km908651.9934.218.0215 mio.1,256,000
166188.1 km958292.2920.910.61309 mio.6,959,000
167201.7 km175147111.3718.315.91460 mio.7,238,000
168213.0 km380300160.7113.323.81473 mio.6,915,000
169227.6 km14712591.8225.316.31200 mio.5,274,000
170284.0 km281231131.2321.821.6686 mio.2,415,000
171286.9 km348298100.9628.734.82048 mio.7,138,000
172298.8 km180144122.0724.915.02573 mio.8,611,000
173304.5 km290205131.4923.422.33174 mio.10,424,000
174334.0 km230194101.7233.423.01122 mio.3,359,000
175368.0 km468422270.8713.617.31624 mio.4,413,000
176408.0 km268268111.5237.124.41197 mio.2,934,000


Numerical data (except ridership) by Jordi Serradell 1/2010. Ridership data by John Kennes 10/2009. Ticket prices by UBS: Prices and Earnings (PDF, p. 20) 2009. Non-numerical data by Mike Rohde 1/2010.




Feedback







Bookmark and Share

This page: http://mic-ro.com/metro/table.html?feat=LGSTSSLILSLLSLAPPL&orderby;=OP&sort;=ASC&unit;=km&status;=
Would you like to discuss this page or do you know of more facts that would fit in here? Visit Metro Bits Forum. Thanks to all who have already contributed!

© 2004-2010 metrobits.org


HomeFact SheetsWorld Metro DatabaseMetro Arts & ArchitectureMetro LogosResources About

 

Adana Algiers Amsterdam Ankara Antwerp Athens Atlanta Baku Baltimore Bangkok Barcelona Beijing Belo Horizonte Berlin Bielefeld Bilbao Bochum Bonn Boston Brasilia Brussels Bucharest Budapest Buenos Aires Buffalo Bursa Busan Cairo Caracas Catania Changchun Charleroi Chengdu Chennai Chiba Chicago Chongqing Cleveland Cologne Copenhagen Daegu Daejeon Dalian Delhi Detroit Dnepropetrovsk Dortmund Dubai Duesseldorf Duisburg Edmonton Essen Frankfurt Fukuoka Gelsenkirchen Genoa Glasgow Guadalajara Guangzhou Gwangju Haifa Hamburg Hangzhou Hanover Helsinki Hiroshima Hong Kong Incheon Istanbul Izmir Jacksonville Kamakura Kaohsiung Kazan Kharkov Kiev Kitakyushu Kobe Kolkata Kryvyi Rih Kuala Lumpur Kyoto Las Vegas Lausanne Lille Lima Lisbon London Los Angeles Ludwigshafen Lyon Madrid Manila Maracaibo Marseille Medellin Mexico City Miami Milan Minsk Monterrey Montreal Moscow Mulheim Mumbai Munich Nagoya Naha Nanjing Naples New York Newark Newcastle Nizhny Novgorod Novosibirsk Nuremberg Oporto Osaka Oslo Palma de Mallorca Paris Perugia Philadelphia Pittsburgh Porto Alegre Poznan Prague Pyongyang Recife Rennes Rio de Janeiro Rome Rotterdam Rouen Saint Louis Saint Petersburg Samara San Francisco San Juan Santiago Santo Domingo Sao Paulo Sapporo Seattle Sendai Seoul Seville Shanghai Shenyang Shenzhen Singapore Sofia Stockholm Stuttgart Suzhou Sydney Taipei Tama Tashkent Tbilisi Tehran The Hague Tianjin Tokyo Toronto Toulouse Turin Valencia Valencia Valparaiso Vancouver Vienna Volgograd Warsaw Washington Wuhan Wuppertal Yekaterinburg Yerevan Yokohama