 By 2020, Hefei urban area is forecast to be home of some 1.6 million people  Urban population growth from now to 2030 Capital cities World's largest cities and their mayors 2010 World's largest cities 2007 Fastest growing cities 2007 Largest cities in the world Largest urban areas Richest cities in th world Largest European cities Largest US cities Largest Canadian cities Largest Brazilian cities Largest German cities Largest French cities Largest French urban areas Largest UK cities Largest Italian cities Largest Spanish cities Largest Indian cities Largest Japanese cities Top US eCities Top European eCities Directories Urbanisation 2008 to 2030  Worldwide | Elections | North America | Latin America | Europe | Asia | Africa |                           |
The world’s largest cities
The tables provide population figures for cities and their surrounding urban areas. Most such agglomerations are economically, socially and culturally dominated by one city at their centre. Occasionally however, several cities of similar status and their suburbs make up an urban area. The 2020 population figures were calculated using the 2006 data as base and applying annual rates of population changes. The average annual rates of population changes are assumptions based on past growth/decline and forecasts by international and national statistics organisations. |
|
Rank
|
City/Urban area
|
Country
|
Average annual growth, 2006 to 2020, in %
|
Population in 2020
(millions) |
|
301
|
Varanasi (Benares) | India |
1.68
|
1.67
|
|
302
|
Orlando | USA |
1.65
|
1.67
|
|
303
|
Austin | USA |
2.69
|
1.67
|
|
304
|
Neijiang | China |
0.90
|
1.66
|
|
305
|
Mannheim, Heidelberg | Germany |
0.10
|
1.65
|
|
306
|
San José | Costa Rica |
2.42
|
1.64
|
|
307
|
Adana | Turkey |
1.76
|
1.63
|
|
308
|
Weifang | China |
1.20
|
1.63
|
|
309
|
Shiraz | Iran |
1.85
|
1.62
|
|
310
|
Virginia Beach | USA |
0.74
|
1.61
|
|
311
|
Kansas City | USA |
0.83
|
1.61
|
|
312
|
Basra | Iraq |
1.98
|
1.60
|
|
313
|
Hefei | China |
1.30
|
1.60
|
|
314
|
Phnom Penh | Cambodia |
2.05
|
1.59
|
|
315
|
Srinagar | India |
2.50
|
1.59
|
|
316
|
Nampho | North Korea |
1.87
|
1.59
|
|
317
|
Allahabad | India |
2.09
|
1.58
|
|
318
|
Mianyang | China |
1.97
|
1.57
|
|
319
|
Tianshui | China |
1.40
|
1.56
|
|
320
|
Rosario | Argentina |
1.13
|
1.55
|
|
321
|
Yueyang | China |
1.27
|
1.55
|
|
322
|
Baotou | China |
0.85
|
1.55
|
|
323
|
Qiqihar | China |
0.42
|
1.54
|
|
324
|
Tegucigalpa | Honduras |
2.51
|
1.54
|
|
325
|
Huaian | China |
1.12
|
1.53
|
|
326
|
Zaoyang | China |
1.58
|
1.53
|
|
327
|
Lyon | France |
0.53
|
1.53
|
|
328
|
Maracay | Venezuela |
1.94
|
1.53
|
|
329
|
Calgary | Canada |
2.32
|
1.52
|
|
330
|
Anshan | China |
0.27
|
1.52
|
|
331
|
Suqian | China |
1.23
|
1.51
|
|
332
|
Fushun | China |
0.36
|
1.50
|
|
333
|
Suzhou, Jiangsu | China |
1.48
|
1.50
|
|
334
|
Jingmen | China |
1.34
|
1.50
|
|
335
|
Taichung | China |
2.28
|
1.50
|
|
336
|
Budapest | Hungary |
-0.68
|
1.49
|
|
337
|
Bucaramanga | Colombia |
2.17
|
1.49
|
|
338
|
Yongzhou | China |
1.55
|
1.49
|
|
339
|
Madurai | India |
1.19
|
1.48
|
|
340
|
Milwaukee | USA |
0.65
|
1.48
|
|
341
|
Columbus, Ohio | USA |
1.24
|
1.47
|
|
342
|
Marseille, Aix-en-Provence | France |
0.36
|
1.46
|
|
343
|
Kuwait City | Kuwait |
1.09
|
1.46
|
|
344
|
Porto | Portugal |
0.70
|
1.45
|
|
345
|
Fuzhou, Fujian | China |
0.21
|
1.44
|
|
346
|
Montevideo | Uruguay |
0.42
|
1.44
|
|
347
|
Vijayawada | India |
1.81
|
1.43
|
|
348
|
Mendoza | Argentina |
1.90
|
1.43
|
|
349
|
Wuxi | China |
1.21
|
1.43
|
|
350
|
Bucharest | Romania |
-1.30
|
1.43
|
|
351
|
Yuzhou | China |
1.01
|
1.42
|
|
352
|
Providence | USA |
0.92
|
1.41
|
|
353
|
Jining, Shandong | China |
1.61
|
1.40
|
|
354
|
Xintai | China |
0.33
|
1.40
|
|
355
|
Auckland | New Zealand |
1.22
|
1.39
|
|
356
|
Leeds | UK |
-0.09
|
1.38
|
|
357
|
Novosibirsk | Russia |
-0.36
|
1.36
|
|
358
|
Nanchong | China |
1.48
|
1.34
|
|
359
|
Bielefeld | Germany |
0.11
|
1.34
|
|
360
|
Chifeng | China |
1.07
|
1.34
|
|
361
|
Ottawa | Canada |
1.08
|
1.32
|
|
362
|
Kharkov | Ukraine |
-0.58
|
1.31
|
|
363
|
Hannover | Germany |
0.06
|
1.31
|
|
364
|
Leshan | China |
0.75
|
1.31
|
|
365
|
Zigong | China |
1.04
|
1.31
|
|
366
|
Daqing | China |
0.89
|
1.27
|
|
367
|
Ningbo | China |
0.44
|
1.27
|
|
368
|
Helsinki | Finland |
0.83
|
1.26
|
|
369
|
Amsterdam | Netherlands |
0.55
|
1.26
|
|
370
|
Memphis | USA |
1.16
|
1.24
|
|
371
|
Adelaide | Australia |
0.57
|
1.24
|
|
372
|
Nürnberg | Germany |
0.11
|
1.23
|
|
373
|
Fuyu | China |
0.94
|
1.23
|
|
374
|
Yixing | China |
0.56
|
1.23
|
|
375
|
Torreón | Mexico |
0.97
|
1.22
|
|
376
|
Newcastle, Gateshead | UK |
0.94
|
1.22
|
|
377
|
Huzhou | China |
0.63
|
1.21
|
|
378
|
Xinyi | China |
1.08
|
1.20
|
|
379
|
Ekaterinburg | Russia |
-0.52
|
1.19
|
|
380
|
Dublin | Ireland |
0.94
|
1.19
|
|
381
|
Rotterdam | Netherlands |
0.41
|
1.18
|
|
382
|
Xiaoshan | China |
0.30
|
1.18
|
|
383
|
Ulsan | South Korea |
0.60
|
1.17
|
|
384
|
Nizhni Novgorod | Russia |
-0.67
|
1.17
|
|
385
|
Prague | Czech Republic |
-0.14
|
1.14
|
|
386
|
Belgrade | Serbia |
-0.07
|
1.10
|
|
387
|
Copenhagen | Denmark |
0.17
|
1.10
|
|
388
|
Lille | France |
0.42
|
1.10
|
|
389
|
Rostov-on-Don | Russia |
0.05
|
1.09
|
|
390
|
Aachen | Germany |
0.09
|
1.09
|
|
391
|
Kazan | Russia |
-0.17
|
1.09
|
|
392
|
Turin | Italy |
-0.56
|
1.08
|
|
393
|
Omsk | Russia |
-0.38
|
1.08
|
|
394
|
Almaty | Kazakhstan |
-0.16
|
1.07
|
|
395
|
Datong | China |
-0.25
|
1.07
|
|
396
|
New Orleans | USA |
0.35
|
1.05
|
|
397
|
Samara | Russia |
-0.64
|
1.04
|
|
398
|
Volgograd | Russia |
-0.15
|
1.00
|
|
399
|
Yerevan | Armenia |
-0.49
|
0.99
|
|
400
|
Chelyabinsk | Russia |
-0.54
|
0.99
|
Previous | Next
Follow @City_Mayors
