50.77 6.1 "Aachen" #Germany , 247113
5.1 7.35 "Aba" #Nigeria , 177000
-1.75 -48.9 "Abaeteluba" #Brazil , 100016
53.72 91.42 "Abakan" #Russia , 158954
7.17 3.43 "Abeokuta" #Nigeria , 253000
57.17 -2.08 "Aberdeen" #United Kingdom , 219090
5.32 -4.02 "Abidjan" #Cote dIvoire , 1929079
35.87 140 "Abiko" #Japan , 124065
32.37 -99.67 "Abilene" #United States , 110034
30.12 74.29 "Abohar" #India , 107163
24.47 54.42 "Abu dhabi" #United Arab Emirates , 242975
16.85 -99.9 "Acapulco" #Mexico , 515374
9.58 -69.2 "Acarigua-araure" #Venezuela , 194800
5.55 -0.25 "Accra" #Ghana , 564194
56.33 90.55 "Achinsk" #Russia , 121882
-25.07 -130.08 "Adamstown" #Pitcairn , 53
37 35.32 "Adana" #Turkey , 1066544
40.75 30.38 "Adapazari" #Turkey , 186000
9.05 38.7 "Addis ababa" #Ethiopia , 2316400
-34.93 138.6 "Adelaide" #Australia , 1071100
33.37 44.38 "Adhamiyah" #Iraq , 464151
37.77 38.28 "Adiyaman" #Turkey , 129919
7.67 5.27 "Ado-ekiti" #Nigeria , 213000
15.63 77.27 "Adoni" #India , 136182
38.75 30.55 "Afyon" #Turkey , 102997
30.5 -9.67 "Agadir" #Morocco , 307000
13.47 144.75 "Agana" #Guam , 1139
23.82 91.25 "Agartala" #India , 157358
35.97 139.6 "Ageo" #Japan , 206368
27.15 78 "Agra" #India , 891790
18.45 -67.13 "Aguadilla" #Puerto Rico , 65304
21.85 -102.3 "Aguascalientes" #Mexico , 455234
23 72.67 "Ahmedabad" #India , 2876710
19.12 74.77 "Ahmednagar" #India , 181339
31.28 48.72 "Ahwaz" #Iran , 828380
43.52 5.45 "Aix-en-provence" #France , 123778
23.72 92.62 "Aizawl" #India , 155240
37.5 139.97 "Aizuwakamatsu" #Japan , 120251
26.48 74.67 "Ajmer" #India , 402700
34.65 135 "Akashi" #Japan , 282912
35.68 139.38 "Akishima" #Japan , 108121
39.73 140.08 "Akita" #Japan , 310219
51.17 71.47 "Akmola" #Kazakstan , 287000
20.67 77.08 "Akola" #India , 328034
41.07 -81.52 "Akron" #United States , 221886
41.15 80.25 "Aksu" #China , 243448
50.27 73.05 "Aktau" #Kazakstan , 174000
50.28 57.17 "Aktjubinsk" #Kazakstan , 264000
24.18 55.75 "Al-aïn" #United Arab Emirates , 101663
-12.15 -38.35 "Alagoinhas" #Brazil , 116894
10.17 -84.22 "Alajuela" #Costa Rica , 170080
39 -1.87 "Albacete" #Spain , 132448
42.67 -73.82 "Albany" #United States , 104828
35.08 -106.63 "Albuquerque" #United States , 411994
40.47 -3.37 "Alcalá de henares" #Spain , 159355
48.5 38.78 "Alchevsk" #Ukraine , 128600
40.35 -3.83 "Alcorcón" #Spain , 139662
36.23 37.17 "Aleppo" #Syrian Arab Republic , 1542000
-26.12 28.1 "Alexandra" #South Africa , 124586
31.22 29.92 "Alexandria" #Egypt , 3380000
38.82 -77.1 "Alexandria" #United States , 112879
48.67 33.12 "Alexandriya" #Ukraine , 106200
36.13 -5.45 "Algeciras" #Spain , 101256
36.75 3 "Alger" #Algeria , 1523000
38.35 -0.48 "Alicante" #Spain , 267421
25.92 76.25 "Aligarh" #India , 480520
37.03 41.23 "Al-kamishli" #Syrian Arab Republic , 113000
25.42 81.97 "Allahabad" #India , 792858
9.5 76.37 "Allappuzha" #India , 174666
40.6 -75.5 "Allentown" #United States , 105339
44.92 8.62 "Allessandria" #Italy , 215025
40.83 69.67 "Almalyk" #Uzbekistan , 116000
43.32 76.92 "Almaty" #Kazakstan , 1176000
36.83 -2.43 "Almería" #Spain , 157540
52.37 5.15 "Almere" #Netherlands , 101493
54.83 52.37 "Almetievsk" #Russia , 138902
35.93 39.02 "Al-rakka" #Syrian Arab Republic , 138000
-3.22 -52.25 "Altamira" #Brazil , 120441
47.87 88.12 "Altay" #China , 128626
-20.72 -42.15 "Alvorada" #Brazil , 142046
27.53 76.58 "Alwar" #India , 205086
38.75 -9.23 "Amadora" #Portugal , 181774
34.7 135.38 "Amagasaki" #Japan , 493158
31.85 47.17 "Amara" #Iraq , 208797
35.23 -101.83 "Amarillo" #United States , 165036
30.32 76.82 "Ambala" #India , 119338
-1.3 -78.65 "Ambato" #Ecuador , 124166
53.05 -1.4 "Amber valley" #United Kingdom , 114451
-3.64 128.17 "Ambon" #Indonesia , 313100
-22.73 -47.32 "Americana" #Brazil , 153840
52.15 5.38 "Amersfoort" #Netherlands , 111253
49.9 2.3 "Amiens" #France , 131880
31.95 35.63 "Amman" #Jordan , 965000
36.43 52.4 "Amol" #Iran , 154796
20.92 77.75 "Amravati" #India , 421576
31.58 74.93 "Amritsar" #India , 708835
28.9 78.48 "Amroha" #India , 137061
52.35 4.9 "Amsterdam" #Netherlands , 723163
-16.32 -48.97 "Anápolis" #Brazil , 239378
33.83 -117.93 "Anaheim" #United States , 282133
22.59 73.02 "Anand" #India , 110266
14.7 77.08 "Anantapur" #India , 174924
61.16 -150 "Anchorage" #United States , 253649
43.58 13.48 "Ancona" #Italy , 126136
46.4 125.32 "Anda" #China , 452849
40.84 72.33 "Andizhan" #Uzbekistan , 297000
36.62 128.73 "Andong" #Korea, South , 116958
42.5 1.5 "Andorra la vella" #Andorra , 16151
52.52 103.92 "Angarsk" #Russia , 267154
15.15 120.55 "Angeles" #Philippines , 276545
47.48 -0.53 "Angers" #France , 141354
41.17 70.17 "Angren" #Uzbekistan , 133000
34.93 137.08 "Anjo" #Japan , 148988
32.68 109.02 "Ankang" #China , 859165
39.92 32.83 "Ankara" #Turkey , 2837937
31.27 113.67 "Anlu" #China , 557742
42.3 -83.72 "Ann arbor" #United States , 108817
36.92 7.76 "Annaba" #Algeria , 239975
30.5 117.05 "Anqing" #China , 464112
37.35 126.87 "Ansan" #Korea, South , 252418
41.12 122.95 "Anshan" #China , 2478650
26.25 105.93 "Anshun" #China , 657856
36.23 36.12 "Antakya" #Turkey , 137200
36.89 30.7 "Antalya" #Turkey , 502269
-18.87 47.5 "Antananarivo" #Madagascar , 347466
-23.67 -70.38 "Antofagasta" #Chile , 236730
51.22 4.42 "Antwerp" #Belgium , 470349
36.08 114.35 "Anyang" #China , 616803
37.38 126.92 "Anyang" #Korea, South , 481291
56.17 86.02 "Anzhero-sudzhensk" #Russia , 100700
40.83 140.72 "Aomori" #Japan , 289920
-16.67 -49.27 "Aparecida de goiania" #Brazil , 178483
52.22 5.95 "Apeldoorn" #Netherlands , 149659
13.8 -89.18 "Apopa" #El Salvador , 100763
-21.2 -50.4 "Araçatuba" #Brazil , 159557
-10.9 -37.12 "Aracaju" #Brazil , 402341
46.17 21.32 "Arad" #Romania , 187876
-7.2 -48.2 "Araguaina" #Brazil , 103315
34.08 49.7 "Arak" #Iran , 378597
-9.75 -36.67 "Arapiraca" #Brazil , 164921
-21.75 -48.13 "Araraquara" #Brazil , 166731
38.25 48.3 "Ardabil" #Iran , 329869
18.44 -66.73 "Arecibo" #Puerto Rico , 96174
-16.42 -71.53 "Arequipa" #Peru , 624500
-18.5 -70.29 "Arica" #Chile , 173336
64.67 41 "Arkhangelsk" #Russia , 376178
38.9 -77.1 "Arlington" #United States , 174603
37.99 23.73 "Athinai" #Greece
-34.67 -58.33 "Avellaneda" #Argentina , 346620
-13.17 -74.25 "Ayacucho" #Peru , 108900
37.85 27.85 "Aydin" #Turkey , 123163
51.83 -0.83 "Aylesbury vale" #United Kingdom , 152033
32.37 -6.48 "Béni-mellal" #Morocco , 521000
36.53 52.7 "Babol" #Iran , 152536
9.28 105.72 "Bac lieu" #Vietnam , 83482
46.55 26.97 "Bacau" #Romania , 207730
10.63 122.97 "Bacolod" #Philippines , 343048
38.88 -6.97 "Badajoz" #Spain , 124579
41.45 2.25 "Badalona" #Spain , 218725
-31.37 -54.1 "Bage" #Brazil , 118967
33.33 44.43 "Baghdad" #Iraq , 3841268
10.55 122.86 "Bago" #Philippines , 139771
16.43 120.57 "Baguio" #Philippines , 169565
24.1 88.3 "Baharampur" #India , 115144
29.4 71.78 "Bahawalpur" #Pakistan , 147977
-38.75 -62.25 "Bahia blanca" #Argentina , 255145
11.62 37.4 "Bahir dar" #Ethiopia , 115531
27.62 81.67 "Bahraich" #India , 135400
47.65 23.6 "Baia mare" #Romania , 149975
45.62 122.82 "Baicheng" #China , 335043
27.55 109.95 "Baihua" #China , 488343
23.9 106.62 "Baise" #China , 297377
36.53 104.2 "Baiyin" #China , 382654
35.37 -119.02 "Bakersfield" #United States , 191060
40.37 49.88 "Baku" #Azerbaijan , 1149000
52.07 47.77 "Balakovo" #Russia , 208083
55.78 37.98 "Balashikha" #Russia , 134873
21.39 86.89 "Baleshwar" #India , 85442
39.62 27.85 "Balikesir" #Turkey , 189702
-1.25 116.83 "Balikpapan" #Indonesia , 416200
22.65 88.33 "Bally" #India , 184474
39.3 -76.62 "Baltimore" #United States , 702979
25.2 88.83 "Balurghat" #India , 119796
12.67 -7.98 "Bamako" #Mali , 658275
5.55 95.32 "Banda aceh" #Indonesia , 291300
-5.43 105.27 "Bandar lampung" #Indonesia , 832400
4.93 114.97 "Bandar seri begawan" #Brunei , 49902
27.25 56.25 "Bandar-e-abbas" #Iran , 383515
-3.33 114.58 "Bandjarmasin" #Indonesia , 534600
-6.95 107.57 "Bandung" #Indonesia , 2368200
12.97 77.58 "Bangalore" #India , 2660088
24.93 121.43 "Bangiao" #China , 114600
13.73 100.5 "Bangkok" #Thailand , 152000
4.38 18.62 "Bangui" #Central African Republic , 473817
30.47 31.18 "Banha" #Egypt , 136000
44.78 17.18 "Banja luka" #Bosnia and Herzegovina , 195994
13.47 -16.65 "Banjul" #Gambia , 49181
23.21 86.82 "Bankura" #India , 114876
38.87 115.48 "Baoding" #China , 594966
34.38 107.15 "Baoji" #China , 452286
43.28 -2.98 "Baracaldo" #Spain , 105088
22.63 88.37 "Baranagar" #India , 224821
53.15 26 "Baranovichi" #Belarus , 171800
-21.22 -43.78 "Barbacena" #Brazil , 101842
41.42 2.17 "Barcelona" #Spain , 1596190
10.13 -64.72 "Barcelona" #Venezuela , 254471
10.17 -64.68 "Barcelona-pto. la cruz" #Venezuela , 426250
23.27 87.73 "Barddhaman" #India , 245079
28.33 79.4 "Bareilly" #India , 587211
41.12 16.87 "Bari" #Italy , 697162
8.6 -70.25 "Barinas" #Venezuela , 152853
22.5 90.33 "Barisal" #Bangladesh , 185517
53.35 83.75 "Barnaul" #Russia , 593043
51.65 -0.2 "Barnet" #United Kingdom , 308300
53.57 -1.47 "Barnsley" #United Kingdom , 226526
10.05 -69.3 "Barquisimeto" #Venezuela , 692599
-22.58 -44.2 "Barra mansa" #Brazil , 166269
22.73 88.5 "Barrackpur" #India , 133265
7.1 -73.9 "Barrancabermeja" #Colombia , 168291
11 -74.83 "Barranquilla" #Colombia , 100691
-23.52 -46.88 "Barueri" #Brazil , 140221
10.43 -66.88 "Baruta" #Venezuela , 165310
47.58 7.59 "Basel" #Switzerland , 175809
6.7 121.97 "Basilan" #Philippines , 238308
51.57 0.42 "Basildon" #United Kingdom , 162114
22.57 88.79 "Basirhat" #India , 101409
30.5 47.83 "Basra" #Iraq , 406296
16.77 94.75 "Bassein" #Myanmar , 144096
17.3 -62.72 "Basseterre" #Saint Kitts and Nevis , 14161
16.23 -61.44 "Basse-terre" #Guadeloupe , 29522
53.3 -1.12 "Bassetlaw" #United Kingdom , 105479
32.02 34.75 "Bat yam" #Israel , 142800
31.8 75.28 "Batala" #India , 86006
1.03 103.92 "Batam" #Indonesia , 168200
13.78 121.02 "Batangas" #Philippines , 190627
30.17 74.97 "Bathinda" #India , 159042
37.87 41.12 "Batman" #Turkey , 186178
35.57 6.17 "Batna" #Algeria , 102756
30.5 -91.17 "Baton rouge" #United States , 227482
41.6 41.63 "Batumi" #Georgia , 137000
-22.32 -49.12 "Bauru" #Brazil , 273759
18.35 -66.17 "Bayamón" #Puerto Rico , 229299
20.38 -76.65 "Bayamo" #Cuba , 137663
30.08 -94.13 "Beaumont" #United States , 115022
26.11 74.34 "Beawar" #India , 105363
53.33 -0.45 "Bedford" #United Kingdom , 137001
31.25 34.83 "Beer sheva" #Israel , 144700
48.27 126.6 "Beian" #China , 343909
46.08 125.98 "Beidong" #China , 797432
21.48 109.1 "Beihai" #China , 229907
39.93 116.4 "Beijing" #China , 7362426
-19.82 34.87 "Beira" #Mozambique , 264202
33.87 35.5 "Beirut" #Lebanon , 474870
-1.45 -48.48 "Belém" #Brazil , 1297592
49.82 30.17 "Belaya tserkov" #Ukraine , 213200
54.6 -5.96 "Belfast" #United Kingdom , 297100
-22.77 -43.4 "Belford roxo" #Brazil , 370279
15.9 74.6 "Belgaum" #India , 326399
50.63 36.6 "Belgorod" #Russia , 317925
15.18 76.9 "Bellary" #India , 245391
6.33 -75.68 "Bello" #Colombia , 162556
17.22 -88.8 "Belmopan" #Belize , 44087
-19.9 -43.9 "Belo horizonte" #Brazil , 2060804
47.73 27.68 "Beltsy" #Moldova , 159000
46.83 29.48 "Bendery" #Moldova , 132700
32.08 34.83 "Bene beraq" #Israel , 126000
32.95 117.33 "Bengbu" #China , 695040
-3.8 102.27 "Bengkulu" #Indonesia , 262100
6.32 5.68 "Benin" #Nigeria , 136000
29.08 31.08 "Beni-suef" #Egypt , 179000
-26.2 28.3 "Benoni" #South Africa , 113501
41.33 123.75 "Benxi" #China , 937805
44.83 20.5 "Beograd" #Serbia and Montenegro , 1136786
33.3 131.48 "Beppu" #Japan , 129387
46.75 36.78 "Berdyansk" #Ukraine , 137200
59.43 56.82 "Berezniki" #Russia , 185672
45.7 9.67 "Bergamo" #Italy , 121151
60.38 5.33 "Bergen" #Norway , 218144
50.98 7.17 "Bergisch gladbach" #Germany , 105122
52.53 13.42 "Berlin" #Germany , 3472009
46.95 7.43 "Berne" #Switzerland , 128872
47.23 6.03 "Besançon" #France , 113835
-19.97 -44.22 "Betim" #Brazil , 185671
53.83 -0.42 "Beverley" #United Kingdom , 118014
51.43 0.15 "Bexley" #United Kingdom , 220432
25.23 86.98 "Bhagalpur" #India , 253225
27.25 77.5 "Bharatpur" #India , 148519
21.67 73.03 "Bharuch" #India , 133102
22.85 88.52 "Bhatpara" #India , 304952
21.75 72.17 "Bhavnagar" #India , 402338
21.2 81.43 "Bhilai nagar" #India , 386159
25.38 74.65 "Bhilwara" #India , 183965
16.57 81.58 "Bhimavaram" #India , 121314
26.69 78.89 "Bhind" #India , 109755
19.35 73.13 "Bhiwandi" #India , 379070
28.83 76.17 "Bhiwani" #India , 121629
23.28 77.47 "Bhopal" #India , 1062771
20.22 85.83 "Bhubaneswar" #India , 411542
23.25 69.81 "Bhuj" #India , 102176
21.02 75.83 "Bhusawal" #India , 145143
53.15 23.17 "Bialystok" #Poland , 274927
19 75.79 "Bid" #India , 112434
25.22 85.52 "Bidar" #India , 108016
52.03 8.53 "Bielefeld" #Germany , 324067
49.83 19 "Bielsko - biala" #Poland , 180479
10.97 106.83 "Bien hoa" #Vietnam , 97044
25.11 85.66 "Bihar sharif" #India , 201323
52.58 85.27 "Biisk" #Russia , 227348
16.78 75.8 "Bijapur" #India , 186939
28.02 73.37 "Bikaner" #India , 416289
22.03 82.25 "Bilaspur" #India , 179833
43.25 -2.93 "Bilbao" #Spain , 365269
3.62 98.5 "Binjai" #Indonesia , 206800
32.88 59.22 "Birjand" #Iran , 114944
52.47 -1.92 "Birmingham" #United Kingdom , 1008381
33.5 -86.92 "Birmingham" #United States , 264527
42.67 74.83 "Bishkek" #Kyrgyzstan , 583900
11.87 -15.65 "Bissau" #Guinea-Bissau , 109214
1.47 125.22 "Bitung" #Indonesia , 107100
53.75 -2.48 "Blackburn" #United Kingdom , 140147
53.83 -3.05 "Blackpool" #United Kingdom , 153971
50.32 127.5 "Blagoveshchensk" #Russia , 212524
-15.9 35.16 "Blantyre-limbe" #Malawi , 331588
36.42 2.83 "Blida" #Algeria , 138240
-8.1 112.2 "Blitar" #Indonesia , 122600
-29.12 26.23 "Bloemfontein" #South Africa , 126867
-26.92 -49.12 "Blumenau" #Brazil , 221329
2.85 -60.72 "Boa vista" #Brazil , 159979
11.18 -4.3 "Bobo dioulasso" #Burkina Faso , 268926
53.13 29.17 "Bobruisk" #Belarus , 227100
51.47 7.18 "Bochum" #Germany , 401129
45.75 132.8 "Bodong" #China , 116470
-6.57 106.75 "Bogor" #Indonesia , 285000
36.73 -102.52 "Boise city" #United States , 145987
37.47 57.32 "Bojnurd" #Iran , 125661
23.77 85.92 "Bokaro steel city" #India , 333683
-26.22 28.25 "Boksburg" #South Africa , 119890
44.5 11.33 "Bologna" #Italy , 168905
53.58 -2.43 "Bolton" #United Kingdom , 265175
46.5 11.37 "Bolzano" #Italy , 143698
18.98 72.85 "Bombay" #India , 9925891
50.73 7.1 "Bonn" #Germany , 293072
57.73 12.92 "Boras" #Sweden , 102840
44.83 -0.57 "Bordeaux" #France , 210467
54.15 28.5 "Borisov" #Belarus , 153500
33.92 48.8 "Borujerd" #Iran , 212056
25.12 99.15 "Boshan" #China , 722896
42.33 -71.07 "Boston" #United States , 547725
47.73 26.68 "Botosani" #Romania , 128322
40.6 110.05 "Botou" #China , 1228772
-25.7 29.4 "Botshabelo" #South Africa , 177926
51.52 6.92 "Bottrop" #Germany , 119669
7.7 -5 "Bouake" #Cote dIvoire , 329850
42.5 27.45 "Bourgas" #Bulgaria , 198439
50.73 -1.9 "Bournemouth" #United Kingdom , 160139
38.07 116.57 "Boutou" #China , 494656
51.43 -0.77 "Bracknell forest" #United Kingdom , 104635
53.8 -1.75 "Bradford" #United Kingdom , 481747
-22.92 -46.57 "Bragança paulista" #Brazil , 103761
19.35 84.85 "Brahmapur" #India , 210418
45.28 27.97 "Braila" #Romania , 235763
51.88 0.57 "Braintree" #United Kingdom , 123648
43.7 -79.77 "Brampton" #Canada , 234445
-15.92 -47.67 "Brasilia" #Brazil , 1601094
45.65 25.58 "Brasov" #Romania , 324210
48.17 17.17 "Bratislava" #Slovakia , 451272
56.33 101.83 "Bratsk" #Russia , 259095
52.25 10.5 "Braunschweig" #Germany , 254130
-4.23 15.23 "Brazzaville" #Congo , 596200
52.42 0.75 "Breckland" #United Kingdom , 112171
51.58 4.77 "Breda" #Netherlands , 129518
53.08 8.8 "Bremen" #Germany , 549122
53.55 8.58 "Bremerhaven" #Germany , 130847
50.43 -3.83 "Brent" #United Kingdom , 244467
45.55 10.22 "Brescia" #Italy , 121367
48.39 -4.5 "Brest" #France , 147888
52.13 23.67 "Brest" #Belarus , 290600
41.18 -73.2 "Bridgeport" #United States , 132919
13.1 -59.62 "Bridgetown" #Barbados , 7466
50.83 -0.17 "Brighton" #United Kingdom , 154942
-27.5 153 "Brisbane" #Australia , 1421600
51.37 -2.83 "Bristol" #United Kingdom , 399243
49.22 16.67 "Brno" #Czech Republic , 390073
52.67 1.48 "Broadland" #United Kingdom , 110069
51.42 0.17 "Bromley" #United Kingdom , 293019
25.92 -97.5 "Brownsville" #United States , 112904
52.93 -1.2 "Broxtowe" #United Kingdom , 112170
51.22 3.23 "Brugge" #Belgium , 117100
50.83 4.35 "Brussels" #Belgium , 136488
53.25 34.15 "Bryansk" #Russia , 456949
7.13 -73.17 "Bucaramanga" #Colombia , 141516
37.48 126.78 "Bucheon" #Korea, South , 667993
44.45 26.17 "Bucuresti" #Romania , 2060551
47.5 19.08 "Budapest" #Hungary , 1962855
28.03 79.09 "Budaun" #India , 116695
3.9 -77.03 "Buenaventura" #Colombia , 917486
-34.67 -58.5 "Buenos aires" #Argentina , 2960976
42.88 -78.88 "Buffalo" #United States , 312965
37.37 118.02 "Buizhou" #China , 563064
-3.37 29.32 "Bujumbura" #Burundi , 235440
39.78 64.43 "Bukhara" #Uzbekistan , 228000
28.5 77.82 "Bulandshahr" #India , 127201
-20.17 28.72 "Bulawayo" #Zimbabwe , 621742
13.3 108.62 "Buonmathuot" #Vietnam , 282095
42.35 -3.68 "Burgos" #Spain , 161700
21.3 76.13 "Burhanpur" #India , 172710
43.32 -79.8 "Burlington" #Canada , 129575
49.27 -122.92 "Burnaby" #Canada , 158858
40.2 29.07 "Bursa" #Turkey , 1016760
53.6 -2.28 "Bury" #United Kingdom , 182232
35.1 129.02 "Busan" #Korea, South , 3802319
28.92 50.83 "Bushehr" #Iran , 140615
8.93 125.52 "Butuan" #Philippines , 244900
45.15 26.82 "Buzau" #Romania , 149610
53.27 18 "Bydgoszcz" #Poland , 384101
50.35 18.85 "Bytom" #Poland , 229045
36.53 -6.24 "Cádiz" #Spain , 152187
-31.33 -64.17 "Córdoba" #Argentina , 1148305
37.88 -4.77 "Córdoba" #Spain , 305894
18.92 -96.92 "Córdoba" #Mexico , 153959
7.92 -72.52 "Cúcuta" #Colombia , 211203
15.5 120.97 "Cabanatuan" #Philippines , 185728
10.43 -71.45 "Cabimas" #Venezuela , 182845
-8.27 -35 "Cabo" #Brazil , 130923
-20.85 -41.12 "Cachoeiro de itapemirim" #Brazil , 148572
10.93 123.3 "Cadiz" #Philippines , 143299
49.18 -0.37 "Caen" #France , 112872
8.45 124.67 "Cagayan de oro" #Philippines , 413689
39.22 9.13 "Cagliari" #Italy , 102252
18.23 -66.07 "Caguas" #Puerto Rico , 141675
30.05 31.25 "Cairo" #Egypt , 6800000
-7.15 -78.53 "Cajamarca" #Peru , 111800
4.93 8.37 "Calabar" #Nigeria , 103000
12.07 124.63 "Calbayog" #Philippines , 130321
22.5 88.33 "Calcutta" #India , 4399819
53.73 -1.87 "Calderdale" #United Kingdom , 193612
51.08 -114.08 "Calgary" #Canada , 710677
3.4 -76.5 "Cali" #Colombia , 351687
37.97 23.7 "Calithèa" #Greece , 114233
-12.08 -77.13 "Callao" #Peru , 515200
14.63 120.97 "Caloocan" #Philippines , 642670
-12.73 -38.27 "Camacari" #Brazil , 121146
21.42 -77.92 "Camagüey" #Cuba , 294332
-9.32 -35.48 "Camaragibe" #Brazil , 100377
52.2 0 "Cambridge" #United Kingdom , 113009
51.55 -0.15 "Camden" #United Kingdom , 182448
19.83 -90.5 "Campeche" #Mexico , 150518
21.04 107.32 "Campha" #Vietnam , 209086
-7.25 -35.83 "Campina grande" #Brazil , 339641
-22.9 -47.1 "Campinas" #Brazil , 878690
-20.4 -54.58 "Campo grande" #Brazil , 565943
-21.75 -41.3 "Campos dos goytacazes" #Brazil , 385068
-35.3 149.13 "Canberra" #Australia , 298200
38.32 116.87 "Cangzhou" #China , 314842
-28.92 -51.17 "Canoas" #Brazil , 278873
51.27 1.08 "Canterbury" #United Kingdom , 133859
10.05 105.77 "Cantho" #Vietnam , 215587
10.54 -66.93 "Caracas" #Venezuela , 1964846
-23.52 -46.83 "Carapicuíba" #Brazil , 300283
-19.83 -42.1 "Caratinga" #Brazil , 125686
51.5 -3.22 "Cardiff" #United Kingdom , 300038
-20.25 -40.38 "Cariacica" #Brazil , 289047
54.88 -2.93 "Carlisle" #United Kingdom , 103335
18.34 -65.95 "Carolina" #Puerto Rico , 188997
18.53 -72.42 "Carrefour" #Haiti , 216930
10.4 -75.5 "Cartagena" #Colombia , 1369331
37.6 -0.98 "Cartagena" #Spain , 168023
9.87 -83.92 "Cartago" #Costa Rica , 117004
-8.25 -35.92 "Caruaru" #Brazil , 220690
10.67 -63.23 "Carupano" #Venezuela , 100937
33.59 -7.58 "Casablanca" #Morocco , 278000
-24.98 -53.48 "Cascavel" #Brazil , 201872
-1.27 -47.92 "Castanhal" #Brazil , 108326
25.8 84.83 "Chapra" #India , 136877
39.15 63.57 "Chardzhou" #Turkmenistan , 164000
50.42 4.45 "Charleroi" #Belgium , 206928
35.22 -80.85 "Charlotte" #United States , 437797
52.73 -1.33 "Charnwood" #United Kingdom , 153144
35.03 -85.28 "Chattanooga" #United States , 152259
56.13 47.2 "Cheboksary" #Russia , 448437
33.47 126.48 "Cheju" #Korea, South , 232643
51.73 0.48 "Chelmsford" #United Kingdom , 155800
51.9 -2.83 "Cheltenham" #United Kingdom , 106782
55.2 61.42 "Chelyabinsk" #Russia , 1087609
50.83 12.92 "Chemnitz" #Germany , 274162
40.97 117.88 "Chengde" #China , 365519
30.67 104.07 "Chengdu" #China , 3483834
24.08 120.53 "Chenghwa" #China , 137236
25.8 113.03 "Chenzhou" #China , 233917
36.8 127 "Cheonan" #Korea, South , 211363
36.65 127.45 "Cheongju" #Korea, South , 477783
59.15 37.83 "Cherepovets" #Russia , 318758
49.45 32.07 "Cherkassy" #Ukraine , 311700
44.23 42.08 "Cherkessk" #Russia , 118322
51.5 31.3 "Chernigov" #Ukraine , 313300
48.32 25.87 "Chernovtsy" #Ukraine , 263100
9.68 76.33 "Cherthala" #India , 43326
52.07 -1.33 "Cherwell" #United Kingdom , 127456
36.83 -76.28 "Chesapeake" #United States , 180577
53.2 -2.92 "Chester" #United Kingdom , 120622
53.25 -1.42 "Chesterfield" #United Kingdom , 101104
18.8 98.98 "Chiang mai" #Thailand , 233000
37.97 127.73 "Chuncheon" #Korea, South , 174224
36.98 127.88 "Chungju" #Korea, South , 128425
25.03 101.55 "Chuxiong" #China , 410530
32.3 118.3 "Chuzhou" #China , 416926
22.17 -80.45 "Cienfuegos" #Cuba , 130000
39.17 -84.43 "Cincinnati" #United States , 358170
-6.77 108.55 "Cirebon" #Indonesia , 262300
8.1 -63.6 "Ciudad bolivar" #Venezuela , 253112
-25.52 -54.62 "Ciudad del este" #Paraguay , 133881
8.37 -62.62 "Ciudad guayana" #Venezuela , 523578
31.7 -106.48 "Ciudad juárez" #Mexico , 798499
19.55 -99.25 "Ciudad lópez mateos" #Mexico , 315059
22.32 -97.83 "Ciudad madero" #Mexico , 160331
27.47 -109.98 "Ciudad obregón" #Mexico , 219980
23.72 -99.17 "Ciudad victoria" #Mexico , 207923
45.78 3.08 "Clermont-ferrand" #France , 136180
41.47 -81.72 "Cleveland" #United States , 492901
46.78 23.62 "Cluj-napoca" #Romania , 326017
18.12 -94.42 "Coatzacoalcos" #Mexico , 432944
-17.43 -66.17 "Cochabamba" #Bolivia , 448756
-4.47 -43.85 "Codó" #Brazil , 112477
11 76.95 "Coimbatore" #India , 816321
-19.58 -40.62 "Colatina" #Brazil , 101034
51.88 0.9 "Colchester" #United Kingdom , 149621
19.23 -103.72 "Colimas" #Mexico , 154347
6.92 79.87 "Colombo" #Sri Lanka , 615000
-25.28 -49.23 "Colombo" #Brazil , 127091
38.83 -104.83 "Colorado springs" #United States , 316480
34 -81 "Columbia" #United States , 104101
32.47 -84.98 "Columbus" #United States , 186470
39.98 -83.05 "Columbus" #United States , 635913
23.47 91.17 "Comilla" #Bangladesh , 203931
-45.87 -67.5 "Comodoro rivadavia" #Argentina , 123672
-36.83 -73.05 "Concepción" #Chile , 350268
37.98 -122.03 "Concord" #United States , 111889
44.2 28.63 "Constanta" #Romania , 348575
36.37 6.67 "Constantine" #Algeria , 344454
-19.9 -44.1 "Contagem" #Brazil , 478317
55.72 12.57 "Copenhagen" #Denmark , 625810
51.9 -8.47 "Cork" #Ireland , 127253
11.42 -69.68 "Coro" #Venezuela , 137040
28 -97.9 "Corpus christi" #United States , 275419
-27.5 -58.8 "Corrientes" #Argentina , 257766
39.28 16.27 "Cosenza" #Italy , 135435
7.23 124.25 "Cotabato" #Philippines , 112934
-23.5 -46.63 "Cotia" #Brazil , 116674
6.4 2.52 "Cotonou" #Benin , 536827
51.72 14.35 "Cottbus" #Germany , 125643
52.42 -1.5 "Coventry" #United Kingdom , 302514
44.3 23.78 "Craiova" #Romania , 306825
53.08 -2.45 "Crewe & nantwich" #United Kingdom , 111422
-28.75 -49.42 "Criciúma" #Brazil , 153455
51.38 -1 "Croydon" #United Kingdom , 326736
17.55 -99.5 "Cuatlas" #Mexico , 162117
11.72 79.77 "Cuddalore" #India , 144561
14.5 78.83 "Cuddapah" #India , 121463
-2.9 -79 "Cuenca" #Ecuador , 194981
18.95 -99.25 "Cuernavaca" #Mexico , 281294
-15.53 -56.08 "Cuiabá" #Brazil , 435647
24.83 -107.38 "Culiacán" #Mexico , 415046
10.45 -64.18 "Cumaná" #Venezuela , 232228
55.68 -4.52 "Cunninghame" #United Kingdom , 139090
-25.42 -49.42 "Curitiba" #Brazil , 1364320
-13.53 -71.95 "Cusco" #Peru , 302700
20.43 85.93 "Cuttack" #India , 403418
50.82 19.12 "Czestochowa" #Poland , 259555
40.52 34.95 "Çorum" #Turkey , 136736
51.22 6.78 "Düsseldorf" #Germany , 572638
16.06 108.25 "Da nang" #Vietnam , 382674
45.5 124.3 "Daan" #China , 403897
26.72 88.49 "Dabgram" #India , 147217
53.67 23.33 "Dabrowa górnicza" #Poland , 132552
51.77 -0.47 "Dacorum" #United Kingdom , 134231
35.87 128.6 "Daegu" #Korea, South , 2255805
36.33 127.43 "Daejean" #Korea, South , 1182932
16.03 120.35 "Dagupan" #Philippines , 116936
34.45 135.93 "Daito" #Japan , 127232
14.72 -17.48 "Dakar" #Senegal , 1641358
11.93 108.42 "Dalat" #Vietnam , 102583
25.7 100.18 "Dali" #China , 432235
38.92 121.65 "Dalian" #China , 3473832
32.83 -96.83 "Dallas" #United States , 1022830
6.93 -6.47 "Daloa" #Cote dIvoire , 121842
31.05 30.47 "Damanhûr" #Egypt , 222000
33.5 36.32 "Damascus" #Syrian Arab Republic , 1549000
26.42 50.1 "Dammam" #Saudi Arabia , 127844
23.82 79.49 "Damoh" #India , 95661
40.13 124.4 "Dandong" #China , 660518
30.87 111.67 "Dangyang" #China , 446324
32.52 111.5 "Danjiangkou" #China , 460413
46.58 125 "Daqing" #China , 996866
-6.88 39.3 "Dar es salaam" #Tanzania , 1096000
26.17 85.9 "Darbhanga" #India , 218391
54.52 -1.57 "Darlington" #United Kingdom , 100612
49.87 8.65 "Darmstadt" #Germany , 139063
40.08 113.3 "Datong" #China , 1277310
55.87 26.52 "Daugavpils" #Latvia , 121063
14.5 75.87 "Davangere" #India , 266082
7.11 125.63 "Davao" #Philippines , 960910
-26.15 28.42 "Daveyton" #South Africa , 151659
31.27 107.52 "Daxian" #China , 295202
39.75 -84.2 "Dayton" #United States , 178540
25.35 111.32 "Dayuan" #China , 408466
47.53 21.63 "Debrecen" #Hungary , 214245
8.83 39 "Debrezit" #Ethiopia , 105963
6.87 79.87 "Dehiwala-mount lavinia" #Sri Lanka , 196000
30.32 78.05 "Dehradun" #India , 270159
35.33 40.13 "Deir el-zor" #Syrian Arab Republic , 133000
13.72 -89.17 "Delgado" #El Salvador , 104790
28.67 77.23 "Delhi" #India , 7206704
18.55 -72.28 "Delmas" #Haiti , 178990
32.68 112.08 "Dengzhou" #China , 1391056
37.77 29.08 "Denizli" #Turkey , 239698
-8.65 115.22 "Denpasar" #Indonesia , 435000
39.75 -105 "Denver" #United States , 493559
30 70.73 "Dera ghazi khan" #Pakistan , 102139
52.92 -1.5 "Derby" #United Kingdom , 230473
55 -7.33 "Derry" #United Kingdom , 101600
41.58 -93.62 "Des moines" #United States , 193965
11.08 39.67 "Dessie" #Ethiopia , 117268
42.33 -83.08 "Detroit" #United States , 992038
23.03 76.06 "Dewas" #India , 164364
31.13 104.4 "Deyang" #China , 1286664
32.38 48.47 "Dezful" #Iran , 202004
37.45 116.3 "Dezhou" #China , 321381
23.7 90.37 "Dhaka" #Bangladesh , 299671
23.78 86.53 "Dhanbad" #India , 151789
20.97 74.83 "Dhule" #India , 278317
-23.7 -46.62 "Diadema" #Brazil , 318305
27.53 94.76 "Dibrugarh" #India , 120127
47.33 5.03 "Dijon" #France , 146723
-8.58 125.58 "Dili" #East Timor , 52158
54.23 49.62 "Dimitrovgrad" #Russia , 133352
25.63 88.73 "Dinajpur" #Bangladesh , 104479
10.38 78 "Dindigul" #India , 182477
38.5 115 "Dingzhou" #China , 1024589
9.58 41.83 "Diredawa" #Ethiopia , 194587
-20.13 -44.92 "Divinópolis" #Brazil , 157260
32 44.95 "Diwaniya" #Iraq , 196519
37.92 40.23 "Diyarbakir" #Turkey , 448300
40.1 67.83 "Djizak" #Uzbekistan , 108000
9.71 1.68 "Djougou" #Benin , 134099
-26.1 28 "Dlepmealow" #South Africa , 241099
48.5 34.62 "Dneprodzerzhinsk" #Ukraine , 287300
48.48 35 "Dnepropetrovsk" #Ukraine , 1185500
44.73 18.08 "Doboj" #Bosnia and Herzegovina , 102624
43.57 27.83 "Dobritch" #Bulgaria , 104668
-6.17 35.67 "Dodoma" #Tanzania , 85000
25.22 51.53 "Doha" #Qatar , 217294
53.53 -1.12 "Doncaster" #United Kingdom , 292501
48 37.83 "Donetsk" #Ukraine , 1121200
25.53 101.2 "Dong chuan" #China , 279456
37.75 117.22 "Donglin" #China , 607781
39.82 109.98 "Dongsen" #China , 147026
22.52 113.37 "Dongshan" #China , 1413036
23.03 113.73 "Dongwan" #China , 1736869
37.5 118.52 "Dongying" #China , 644494
51.8 4.67 "Dordrecht" #Netherlands , 113742
51.53 7.45 "Dortmund" #Germany , 600918
4.07 9.72 "Douala" #Cameroon , 1029731
54.15 -4.48 "Douglas" #Isle of Man , 20368
-22.15 -54.83 "Dourados" #Brazil , 141929
52.33 1.3 "Dover" #United Kingdom , 106938
51.05 13.75 "Dresden" #Germany , 474443
44.63 22.67 "Drobeta turnu-severin" #Romania , 118383
25.23 55.28 "Dubai" #United Arab Emirates , 265702
53.33 -6.25 "Dublin" #Ireland , 533929
52.5 -2.83 "Dudley" #United Kingdom , 312235
51.43 6.75 "Duisburg" #Germany , 536106
56.47 -3 "Dundee" #United Kingdom , 167820
-45.87 170.5 "Dunedin" #New Zealand , 118400
56.83 -3.47 "Dunfermline" #United Kingdom , 130060
43.35 128.22 "Dunhua" #China , 477127
40.17 94.68 "Dunhuang" #China , 112756
-22.75 -43.32 "Duque de caxias" #Brazil , 683451
24.02 -104.67 "Durango" #Mexico , 348036
-29.88 31 "Durban" #South Africa , 715669
21.2 81.33 "Durg" #India , 150645
23.5 87.15 "Durgapur" #India , 425836
36 -78.92 "Durham" #United States , 143439
38.63 68.85 "Dushanbe" #Tajikistan , 528600
26.27 107.52 "Duyan" #China , 417154
56.25 43.4 "Dzerzhinsk" #Russia , 285540
42.9 71.37 "Dzhambul" #Kazakstan , 317000
47.78 67.77 "Dzhezkazgan" #Kazakstan , 108000
51.5 -0.32 "Ealing" #United Kingdom , 289793
50.8 -3.22 "East devon" #United Kingdom , 122839
51.15 -0.98 "East hampshire" #United Kingdom , 108209
51.88 0.15 "East hertfordshire" #United Kingdom , 121624
53.37 -0.02 "East lindsey" #United Kingdom , 121431
-32.97 27.87 "East london" #South Africa , 119727
43.72 -79.33 "East york" #Canada , 102696
50.97 -1.35 "Eastleigh" #United Kingdom , 110780
44.17 141.71 "Ebetsu" #Japan , 111099
35.47 139.67 "Ebina" #Japan , 112514
19.58 -99.07 "Ecatepec" #Mexico , 1218135
7.73 4.52 "Ede" #Nigeria , 182000
55.95 -3.22 "Edinburgh" #United Kingdom , 443600
41.67 26.57 "Edirne" #Turkey , 117331
53.57 -113.42 "Edmonton" #Canada , 616741
51.43 5.5 "Eindhoven" #Netherlands , 196547
56.85 60.6 "Ekaterinoburg" #Russia , 1277963
51.7 75.37 "Ekibastuz" #Kazakstan , 141000
27.15 -13.2 "El aaiun" #Western Sahara , 20010
-16.5 -68.2 "El alto" #Bolivia , 446189
33.21 -8.5 "El jadida" #Morocco , 1220000
34.07 -118.02 "El monte" #United States , 104661
13.18 30.17 "El obeid" #Sudan , 228096
31.79 -106.5 "El paso" #United States , 579307
38.68 39.23 "Elazig" #Turkey , 224781
54.17 19.42 "Elblag" #Poland , 127589
38.27 -0.68 "Elche" #Spain , 188062
55.77 38.5 "Elektrostal" #Russia , 150481
52.58 38.5 "Elets" #Russia , 117743
40.67 -74.25 "Elizabeth" #United States , 106298
31 31 "El-mahalla el-kubra" #Egypt , 408000
52.32 -3.5 "Elmbridge" #United Kingdom , 119717
16.75 81.17 "Eluru" #India , 212866
-23.65 -46.85 "Embu" #Brazil , 166215
51.67 -0.67 "Enfield" #United Kingdom , 259773
51.5 46.12 "Engels" #Russia , 186133
24.99 88.19 "English bazar" #India , 139204
52.22 6.92 "Enschede" #Netherlands , 147829
31.87 -116.62 "Ensenada" #Mexico , 169426
30.3 109.48 "Enshi" #China , 712574
6.33 7.5 "Enugu" #Nigeria , 187000
51.7 0.13 "Epping forest" #United Kingdom , 118943
36.2 44.02 "Erbil" #Iraq , 485968
52.98 -1.3 "Erewash" #United Kingdom , 107142
50.97 11.03 "Erfurt" #Germany , 213472
42.16 -80.12 "Erie" #United States , 108398
49.6 11.03 "Erlangen" #Germany , 101450
11.35 77.72 "Erode" #India , 159232
39.95 41.28 "Erzurum" #Turkey , 250100
33.12 -117.08 "Escondido" #United States , 116349
32.68 51.68 "Esfahan" #Iran , 1220595
39.77 30.5 "Eskisehir" #Turkey , 455285
0.93 -79.67 "Esmeraldas" #Ecuador , 120387
60.17 24.7 "Espoo" #Finland , 184577
51.47 6.98 "Essen" #Germany , 617955
26.8 79.1 "Etawah" #India , 124072
43.63 -79.5 "Etobicoke" #Canada , 309993
44.05 -123.07 "Eugene" #United States , 118122
37.73 127.05 "Eujeongbu" #Korea, South , 212352
37.97 -87.58 "Evansville" #United States , 129452
-26.53 27.88 "Evaton" #South Africa , 201026
45.2 33.33 "Evpatoriya" #Ukraine , 44700
50.7 -3.53 "Exeter" #United Kingdom , 104537
30.4 114.83 "Ezhou" #China , 892235
49.47 11 "Fürth" #Germany , 107799
31.42 73.15 "Faisalaba" #Pakistan , 732070
29.32 30.83 "Faiyûm" #Egypt , 250000
26.75 82.17 "Faizabad" #India , 124437
56 -3.77 "Falkirk" #United Kingdom , 142530
50.85 -1.18 "Fareham" #United Kingdom , 101764
28.4 77.3 "Faridabad" #India , 617717
27.5 79.53 "Farrukhabad cum fategarh" #India , 194567
25.88 80.8 "Fatehpur" #India , 117675
-12.28 -38.88 "Feira de santana" #Brazil , 425974
28.2 115.77 "Fengcheng" #China , 1018911
24.25 120.72 "Fengshan" #China , 102109
40.38 71.32 "Fergana" #Uzbekistan , 198000
44.83 11.63 "Ferrara" #Italy , 169709
-23.53 -46.37 "Ferraz de vasconcelos" #Brazil , 102164
34.08 -5 "Fez" #Morocco , 331000
43.78 11.25 "Firenze" #Italy , 131419
27.17 78.42 "Firozabad" #India , 215128
43.05 -83.07 "Flint" #United States , 138164
-27.58 -48.52 "Florianópolis" #Brazil , 266858
7.07 -73.1 "Floridablanca" #Colombia , 513986
45.7 27.18 "Focsani" #Romania , 100900
41.47 15.55 "Foggia" #Italy , 153436
34.1 -117.43 "Fontana" #United States , 103737
44.22 12.03 "Forli" #Italy , 107076
-26.18 -58.18 "Formosa" #Argentina , 153855
26.13 -80.13 "Fort lauderdale" #United States , 162842
41.08 -85.13 "Fort wayne" #United States , 183359
32.75 -97.33 "Fort worth" #United States , 451814
-3.75 -38.58 "Fortaleza" #Brazil , 1846955
14.6 -61.08 "Fort-de-france" #Martinique , 97814
23.03 113.12 "Foshan" #China , 429410
-25.55 -54.52 "Foz do iguaçu" #Brazil , 201222
-20.55 -47.45 "Franca" #Brazil , 247385
50.1 8.68 "Frankfurt am main" #Germany , 652412
8.47 -13.27 "Freetown" #Sierra Leone , 469776
48 7.87 "Freiburg im breisgau" #Germany , 198496
41.5 -96.5 "Fremont" #United States , 183575
36.68 -119.78 "Fresno" #United States , 386551
27.07 119.62 "Fuan" #China , 525580
34.58 133.2 "Fuchu" #Japan , 215597
40.27 -3.82 "Fuenlabrada" #Spain , 144723
35.17 138.62 "Fuji" #Japan , 229267
34.9 138.25 "Fujieda" #Japan , 124578
47.27 132.02 "Fujin" #China , 351645
35.27 138.55 "Fujinomiya" #Japan , 120455
35.37 139.48 "Fujisawa" #Japan , 365250
36.07 136.2 "Fukui" #Japan , 255084
33.5 130.5 "Fukuoka" #Japan , 1275165
37.73 140.47 "Fukushima" #Japan , 284250
34.58 133.33 "Fukuyama" #Japan , 373685
29.35 102.72 "Fulin" #China , 1004712
33.87 -117.93 "Fullerton" #United States , 116863
35.7 139.98 "Funabashi" #Japan , 540306
32.65 -16.88 "Funchal" #Portugal , 115403
41.87 123.88 "Fushun" #China , 1388011
42.1 121.77 "Fuxin" #China , 743165
32.9 115.82 "Fuyang" #China , 232349
45.18 124.82 "Fuyu" #China , 944932
26.08 119.3 "Fuzhou" #China , 1395739
25.65 -103.5 "Gómez palacio" #Mexico , 164092
57.75 12 "Göteborg" #Sweden , 444553
51.52 9.92 "Göttingen" #Germany , 127519
-24.71 25.9 "Gaborone" #Botswana , 133468
15.5 75.75 "Gadag-betgeri" #India , 134051
45.45 28.03 "Galati" #Romania , 326728
6.03 80.24 "Galle" #Sri Lanka , 109000
23.01 70.36 "Gandhidham" #India , 104585
23.24 72.8 "Gandhinagar" #India , 123359
29.93 73.93 "Ganganagar" #India , 161482
37.73 128.9 "Gangreung" #Korea, South , 152678
25.85 114.93 "Ganzhou" #China , 391454
38.03 114.83 "Gaocheng" #China , 685477
22.63 120.28 "Gaoxiong" #China , 828191
-8.9 -36.48 "Garanhuns" #Brazil , 106111
33.78 -117.97 "Garden grove" #United States , 147958
41.78 -112.17 "Garland" #United States , 194218
41.58 -87.33 "Gary" #United States , 114256
54.97 -1.58 "Gateshead" #United Kingdom , 202444
24.8 85 "Gaya" #India , 291675
37.07 37.35 "Gaziantep" #Turkey , 730435
54.37 18.68 "Gdansk" #Poland , 462239
54.52 18.5 "Gdynia" #Poland , 250402
40.8 29.42 "Gebze" #Turkey , 231052
14.02 35.4 "Gedaref" #Sudan , 189384
52.97 -1.83 "Gedling" #United Kingdom , 111659
-38.17 144.43 "Geelong" #Australia , 151900
23.38 103.15 "Gejiu" #China , 384569
51.5 7.08 "Gelsenkirchen" #Germany , 293542
46.22 6.15 "Genève" #Switzerland , 172138
-34.57 -58.5 "General san martin" #Argentina , 407506
6.1 125.25 "General santos" #Philippines , 279343
44.4 8.93 "Genova" #Italy , 252689
51.03 3.7 "Gent" #Belgium , 230543
19.28 -81.33 "George town" #Cayman Islands , 13700
5.39 100.29 "George town" #Malaysia , 219376
6.77 -58.17 "Georgetown" #Guyana , 72049
50.85 12.18 "Gera" #Germany , 126035
-26.25 28.17 "Germiston" #South Africa , 134005
40.3 -3.73 "Getafe" #Spain , 139190
28.65 77.43 "Ghaziabad" #India , 454156
36.17 -5.35 "Gibraltar" #Gibraltar , 28074
35.45 136.77 "Gifu" #Japan , 409063
43.53 -5.67 "Gijón" #Spain , 259067
8.83 125.13 "Gingoog" #Philippines , 111326
40.67 46.37 "Giyandja" #Azerbaijan , 281000
30.05 30.85 "Giza" #Egypt , 2144000
55.88 -4.25 "Glasgow" #United Kingdom , 680000
58.15 52.7 "Glazov" #Russia , 107158
33.57 -112.17 "Glendale" #United States , 168439
34.15 -118.33 "Glendale" #United States , 178481
50.33 18.67 "Gliwice" #Poland , 214585
51.88 -2.23 "Gloucester" #United Kingdom , 104735
45.15 -75.72 "Gloucester" #Canada , 101677
22.79 73.7 "Godhra" #India , 96813
-16.72 -49.3 "Goiânia" #Brazil , 957564
-27.98 153.37 "Gold coast" #Australia , 300200
52.42 31 "Gomel" #Belarus , 503900
12.65 37.48 "Gondar" #Ethiopia , 166593
21.5 80.17 "Gondiya" #India , 109470
26.75 83.38 "Gorakhpur" #India , 505566
36.83 54.48 "Gorgan" #Iran , 178080
48.28 38.08 "Gorlovka" #Ukraine , 335700
0.55 123.09 "Gorontalo" #Indonesia , 132900
51.03 18.43 "Gorzów wielkopolski" #Poland , 124688
-18.85 -41.95 "Governador valadares" #Brazil , 236369
37.17 -3.58 "Granada" #Spain , 256784
32.75 -96.93 "Grand prairie" #United States , 108908
42.97 -85.67 "Grand rapids" #United States , 190395
-29.93 -51 "Gravatai" #Brazil , 194237
47.08 15.37 "Graz" #Austria , 237810
-34.42 150.87 "Greater wollongong" #Australia , 249500
44.53 -88 "Green bay" #United States , 102708
36.07 -79.8 "Greensboro" #United States , 196167
51.48 0 "Greenwich" #United Kingdom , 212332
45.18 5.72 "Grenoble" #France , 150815
53.67 23.83 "Grodno" #Belarus , 298400
53.22 6.58 "Groningen" #Netherlands , 170597
53.48 18.75 "Grudziadz" #Poland , 103537
20.67 -103.33 "Guadalajara" #Mexico , 1626152
25.68 -100.25 "Guadalupe" #Mexico , 535332
9.5 -69.75 "Guanare" #Venezuela , 99571
31.62 114 "Guangshui" #China , 817331
32.43 105.87 "Guangyuan" #China , 859913
23.12 113.25 "Guangzhou" #China , 3918010
20.15 -75.23 "Guantánamo" #Cuba , 207796
-25.37 -51.47 "Guarapuava" #Brazil , 145961
-22.82 -45.15 "Guaratinguita" #Brazil , 102072
10.47 -66.62 "Guarenas" #Venezuela , 152612
-23.86 -46.37 "Guarujá" #Brazil , 220244
-23.42 -46.58 "Guarulhos" #Brazil , 831210
14.63 -90.37 "Guatemala" #Guatemala , 1675589
-2.22 -79.92 "Guayaquil" #Ecuador , 1508444
27.92 -110.8 "Guaynas" #Mexico , 123438
16.45 81.13 "Gudivada" #India , 101656
30.65 117.48 "Guichi" #China , 571068
22.33 111.72 "Guikong" #China , 1377391
51.22 -0.57 "Guildford" #United Kingdom , 126162
25.28 110.28 "Guilin" #China , 557346
26.58 106.72 "Guiyang" #China , 1664709
32.1 74.18 "Gujranwala" #Pakistan , 302009
32.58 74.1 "Gujrat" #Pakistan , 153483
17.37 76.78 "Gulbarga" #India , 304099
36 128.33 "Gumi" #Korea, South , 206121
24.69 77.38 "Guna" #India , 100490
35.95 126.7 "Gunsan" #Korea, South , 218205
15.17 77.36 "Guntakal" #India , 107592
16.33 80.45 "Guntur" #India , 471051
28.45 77.02 "Gurgaon" #India , 121486
26.13 91.75 "Guwahati" #India , 584342
26.2 78.17 "Gwalior" #India , 690765
47.7 17.63 "Györ" #Hungary , 129089
35.83 129.22 "Gyeongju" #Korea, South , 141896
52.38 4.63 "Haarlem" #Netherlands , 149561
52.3 4.7 "Haarlemmermeer" #Netherlands , 103980
34.55 135.62 "Habikino" #Japan , 117554
25.47 88.78 "Habra" #India , 100223
40.5 141.5 "Hachinohe" #Japan , 241588
35.67 139.33 "Hachioji" #Japan , 495053
51.55 -0.05 "Hackney" #United Kingdom , 192492
35.37 139.23 "Hadano" #Japan , 163244
51.35 7.48 "Hagen" #Germany , 213747
32.82 34.98 "Haifa" #Israel , 248200
20.05 110.32 "Haikou" #China , 410050
49.2 119.7 "Hailer" #China , 199600
47.45 126.93 "Hailun" #China , 733795
20.83 106.68 "Haiphong" #Vietnam , 783133
41.77 140.73 "Hakodate" #Japan , 302135
21.94 88.01 "Haldia" #India , 100347
29.25 79.5 "Haldwani-cum-kathgodam" #India , 104195
44.63 -63.58 "Halifax" #Canada , 114455
51.47 11.97 "Halle" #Germany , 290051
54.2 -2.18 "Halton" #United Kingdom , 123727
35.15 36.73 "Hama" #Syrian Arab Republic , 273000
34.77 48.58 "Hamadan" #Iran , 406070
34.7 137.7 "Hamamatsu" #Japan , 562156
53.55 10 "Hamburg" #Germany , 1705872
42.8 93.45 "Hami" #China , 212104
43.25 -79.83 "Hamilton" #Canada , 318499
55.77 -4.33 "Hamilton" #United Kingdom , 107150
32.3 -64.8 "Hamilton" #Bermuda , 1100
-37.77 175.3 "Hamilton" #New Zealand , 103600
51.67 7.82 "Hamm" #Germany , 184020
37.03 -76.35 "Hampton" #United States , 139628
36.17 128.13 "Hanam" #Korea, South , 101325
35.47 110.43 "Hancheng" #China , 345502
34.87 136.93 "Handa" #Japan , 106096
36.58 114.48 "Handan" #China , 1769315
30.25 120.17 "Hangzhou" #China , 2589504
21.02 105.87 "Hanoi" #Vietnam , 1089760
52.23 9.73 "Hanover" #Germany , 525763
33.13 107.03 "Hanzhong" #China , 441706
22.58 88.33 "Haora" #India , 950435
30.18 118.5 "Haozhou" #China , 1198295
28.72 77.78 "Hapur" #India , 146262
9.32 42.15 "Harar" #Ethiopia , 122932
-17.83 31.05 "Harare" #Zimbabwe , 1189103
45.75 126.65 "Harbin" #China , 3597404
29.97 78.15 "Hardwar" #India , 147305
51.58 -0.1 "Haringey" #United Kingdom , 212332
53.98 -1.53 "Harrogate" #United Kingdom , 148412
51.57 -0.33 "Harrow" #United Kingdom , 210308
41.77 -72.68 "Hartford" #United States , 124196
13.05 76.04 "Hassan" #India , 90803
36.23 36.12 "Hatay" #Turkey , 138998
27.64 78.11 "Hathras" #India , 113285
51.6 0.18 "Havering" #United Kingdom , 231706
29.35 47.95 "Hawalli" #Kuwait , 130565
37.67 -122.12 "Hayward" #United States , 115590
35.95 114.22 "Hebi" #China , 377346
24.7 108.03 "Hechi" #China , 289844
31.85 117.28 "Hefei" #China , 1099523
47.4 130.37 "Hegang" #China , 647021
49.42 8.7 "Heidelberg" #Germany , 138964
50.27 127.47 "Heihe" #China , 123095
49.13 9.23 "Heilbronn" #Germany , 122253
56.08 12.75 "Helsingborg" #Sweden , 113411
60.22 25 "Helsinki" #Finland , 512176
36.02 -115 "Henderson" #United States , 101997
37.72 115.7 "Hengshui" #China , 329781
26.97 112.35 "Hengyang" #China , 1814936
34.33 62.17 "Herat" #Afghanistan , 177300
29.25 -110.98 "Hermosillo" #Mexico , 448966
51.53 7.2 "Herne" #Germany , 180029
23.32 115.63 "Hetian" #China , 137824
23.73 114.68 "Heyuan" #China , 544846
35.23 115.45 "Heze" #China , 1154798
25.82 -80.28 "Hialeah" #United States , 194120
34.45 132.72 "Higashihiroshima" #Japan , 107963
35.67 139.5 "Higashikurume" #Japan , 112829
35.75 139.5 "Higashimurayama" #Japan , 136645
34.67 135.58 "Higashiosaka" #Japan , 513876
35.25 136.25 "Hikone" #Japan , 102656
52.15 9.97 "Hildesheim" #Germany , 106095
32.47 44.48 "Hilla" #Iraq , 268834
51.52 -0.45 "Hillingdon" #United Kingdom , 243387
34.83 134.67 "Himeji" #Japan , 465941
13.78 77.49 "Hindupur" #India , 104651
35.68 139.42 "Hino" #Japan , 167307
36.85 140.78 "Hirakata" #Japan , 397183
35.33 139.32 "Hiratsuka" #Japan , 253485
40.57 140.47 "Hirosaki" #Japan , 175781
34.38 132.45 "Hiroshima" #Japan , 1106367
29.17 75.75 "Hisar" #India , 172677
36.6 140.65 "Hitachi" #Japan , 201116
10.77 106.72 "Ho chi minh" #Vietnam , 3015743
-42.9 147.3 "Hobart" #Australia , 193200
34.03 131.57 "Hofu" #Japan , 119178
40.78 111.62 "Hohhoit" #China , 938470
20.9 -76.25 "Holguín" #Cuba , 242085
26.02 -80.15 "Hollywood" #United States , 124992
32.02 34.77 "Holon" #Israel , 163300
35.6 111.35 "Homa" #China , 178480
34.73 36.72 "Homs" #Syrian Arab Republic , 558000
20.95 107.1 "Hon gai" #Vietnam , 123102
22.27 114.17 "Hong kong" #Hong Kong , 6190000
29.82 113.47 "Honghu" #China , 743720
-9.47 159.95 "Honiara" #Solomon Islands , 30413
21.32 -157.83 "Honolulu" #United States , 385881
51.07 -0.35 "Horsham" #United Kingdom , 114324
31.52 75.98 "Hoshiarpur" #India , 122705
15.27 76.33 "Hospet" #India , 96322
41.35 2.1 "Hospitalet de llobregat" #Spain , 272578
51.47 -0.35 "Hounslow" #United Kingdom , 202790
29.83 -95.33 "Houston" #United States , 1702086
31.57 119.38 "Houzhou" #China , 248163
50.22 15.83 "Hradec králové" #Czech Republic , 100839
16.47 107.58 "Hué" #Vietnam , 219149
30.38 106.75 "Hua" #China , 339371
33.95 116.75 "Huaibei" #China , 535823
32.63 116.98 "Huainan" #China , 1228052
33.58 119.03 "Huaiyin" #China , 2613804
-12.08 -75.2 "Huancayo" #Peru , 242800
30.1 118.17 "Huangshan" #China , 376521
30.22 115.1 "Huangshi" #China , 546290
28.65 121.25 "Huangyan" #China , 888631
15.33 75.23 "Hubli-dharwad" #India , 648298
37.25 -6.93 "Huelva" #Spain , 144053
25.33 49.57 "Hufuf" #Saudi Arabia , 101271
22.88 88.42 "Hugli-chinsura" #India , 151806
23.08 114.4 "Huizhou" #China , 274689
38.37 117.33 "Hunanghua" #China , 353330
41.9 126.43 "Hunjiang" #China , 721841
52.33 -0.2 "Huntingdonshire" #United Kingdom , 149869
33.69 -117.97 "Huntington beach" #United States , 189220
34.73 -86.58 "Huntsville" #United States , 160325
30.87 120.1 "Huzhou" #China , 1027570
25.38 68.4 "Hyderabad" #Pakistan , 155523
17.37 78.43 "Hyderabad" #India , 2964638
17.37 78.43 "Hyderabad" #India , 2964638
36.8 34.62 "Içel" #Turkey , 532774
47.15 27.63 "Iasi" #Romania , 339889
7.38 3.93 "Ibadan" #Nigeria , 847000
4.42 -75.33 "Ibagué" #Colombia , 283365
36.17 140.17 "Ibaraki" #Japan , 255586
-30.82 29.15 "Ibhayi" #South Africa , 257054
-14.03 -75.8 "Ica" #Peru , 153700
16.67 74.55 "Ichalakaranji" #India , 214950
35.53 140.1 "Ichihara" #Japan , 275129
32.55 35.85 "Irbid" #Jordan , 216000
35.98 127 "Iri" #Korea, South , 203382
52.3 104.25 "Irkutsk" #Russia , 579896
34.22 131.23 "Iruma" #Japan , 143017
33.68 -117.83 "Irvine" #United States , 125624
32.78 -96.95 "Irving" #United States , 164917
34.48 136.68 "Ise" #Japan , 103047
36.32 139.18 "Isesaki" #Japan , 120208
7.98 3.67 "Iseyin" #Nigeria , 115083
38.42 141.3 "Ishinomaki" #Japan , 121164
36.58 36.17 "Iskenderun" #Turkey , 153871
36.42 59.5 "Islam shahr" #Iran , 239716
33.67 73.13 "Islamabad" #Pakistan , 566248
51.55 -0.1 "Islington" #United Kingdom , 175203
30.6 32.25 "Ismailia" #Egypt , 255000
37.77 30.53 "Isparta" #Turkey , 121663
41.03 28.95 "Istanbul" #Turkey , 7774169
-22.75 -42.87 "Itaboraí" #Brazil , 170931
-14.8 -39.3 "Itabuna" #Brazil , 192255
6.17 -75.6 "Itagüi" #Colombia , 383584
-22.87 -43.77 "Itaguaí" #Brazil , 116951
-4.25 -55.93 "Itaituba" #Brazil , 102852
-26.83 -48.65 "Itajaí" #Brazil , 125266
34.8 135.4 "Itami" #Japan , 189375
-23.6 -48.12 "Itapetininga" #Brazil , 105246
-23.55 -46.93 "Itapevi" #Brazil , 117241
-23.48 -46.35 "Itaquaquecetuba" #Brazil , 180568
-23.27 -47.32 "Itu" #Brazil , 112939
48.67 24.67 "Ivano-frankovsk" #Ukraine , 234000
57 41.99 "Ivanovo" #Russia , 472240
37.03 140.89 "Iwaki" #Japan , 360111
34.17 132.15 "Iwakuni" #Japan , 108529
35.95 139.7 "Iwatsuki" #Japan , 109660
7.63 4.18 "Iwo" #Nigeria , 214000
56.85 53.23 "Izhevsk" #Russia , 653174
38.42 27.17 "Izmir" #Turkey , 2017699
34.5 135.43 "Izumi" #Japan , 152284
36.68 -6.13 "Jérez de la frontera" #Spain , 183316
57.75 14.17 "Jönköping" #Sweden , 114811
37.77 -3.8 "Jaén" #Spain , 104892
-8.08 -35 "Jaboatao" #Brazil , 513740
-23.28 -45.95 "Jacareí" #Brazil , 172047
32.33 -90.18 "Jackson" #United States , 193097
30.33 -81.67 "Jacksonville" #United States , 665070
9.67 80.02 "Jaffna" #Sri Lanka , 129000
-6.13 106.75 "Jakarta" #Indonesia , 9160500
17.75 -92.8 "Jalapa" #Mexico , 300041
24.9 89.95 "Jamalpur" #Bangladesh , 121205
-1.63 103.5 "Jambi" #Indonesia , 410400
-15.92 -5.73 "Jamestown" #St. Helena ex. dep. , 1332
49.95 18.58 "Jastrzebie - zdrój" #Poland , 103627
-2.53 140.7 "Jayapura" #Indonesia , 180400
21.5 39.17 "Jeddah" #Saudi Arabia , 561104
50.93 11.58 "Jena" #Germany , 102204
-13.87 -40.1 "Jequié" #Brazil , 149512
40.72 -74.07 "Jersey city" #United States , 226022
23.17 89.2 "Jessore" #Bangladesh , 101242
31 72 "Jhang" #Pakistan , 180263
46.83 130.35 "Jiamusi" #China , 744584
27.13 115 "Jian" #China , 288501
-9.42 -40.5 "Juazeiro" #Brazil , 134606
-7.17 -39.3 "Juazeiro do norte" #Brazil , 180013
4.83 31.58 "Juba" #Sudan , 114980
-21.78 -43.38 "Juiz de fora" #Brazil , 399327
-15.48 -70.15 "Juliaca" #Peru , 135500
-23.17 -46.9 "Jundiaí" #Brazil , 294444
34.33 -6.57 "Kénitra" #Morocco , 156000
50.93 6.95 "Köln" #Germany , 963817
39.42 29.93 "Kütahya" #Turkey , 141450
34.5 69.17 "Kabul" #Afghanistan , 1424400
-14.48 28.42 "Kabwe" #Zambia , 166519
33.37 44.33 "Kadhimain" #Iraq , 521444
35.38 137.97 "Kadoma" #Japan , 141473
10.47 7.42 "Kaduna" #Nigeria , 202000
31.13 30.13 "Kafr-el-dwar" #Egypt , 226000
31.62 130.53 "Kagoshima" #Japan , 542932
37.57 36.9 "Kahramanmaras" #Turkey , 242491
34.85 114.35 "Kaifeng" #China , 693148
26.58 107.92 "Kaili" #China , 382026
49.45 7.75 "Kaiserslautern" #Germany , 101910
23.7 103.23 "Kaiyuan" #China , 248303
35.4 136.9 "Kakamigahara" #Japan , 132378
34.71 134.87 "Kakogawa" #Japan , 251735
55.93 37.92 "Kaliningrad" #Russia , 135322
54.67 20.5 "Kaliningrad" #Russia , 416547
53.28 15.92 "Kalisz" #Poland , 106608
54.52 36.27 "Kaluga" #Russia , 344463
35.32 139.55 "Kamakura" #Japan , 171815
48.67 26.6 "Kamenetz-podolsky" #Ukraine , 107900
56.48 61.82 "Kamensk-uralsky" #Russia , 196258
50.08 45.4 "Kamyshin" #Russia , 128396
36.5 136.63 "Kanazawa" #Japan , 447733
31.6 65.78 "Kandahar" #Afghanistan , 225500
7.28 80.67 "Kandy" #Sri Lanka , 104000
12.34 75.09 "Kanhangad" #India , 57165
11.88 75.38 "Kannur" #India , 65238
12 8.52 "Kano" #Nigeria , 399000
26.45 80.23 "Kanpur" #India , 1874409
39 -94.67 "Kansas city" #United States , 142630
39.05 -94.5 "Kansas city" #United States , 443878
56.18 95.8 "Kansk" #Russia , 110121
14.15 -16.13 "Kaolack" #Senegal , 193115
41.2 32.6 "Karabuk" #Turkey , 114698
24.85 67.03 "Karachi" #Pakistan , 119036
49.88 73.12 "Karaganda" #Kazakstan , 596000
35.8 50.97 "Karaj" #Iran , 588287
45.5 84.92 "Karamay" #China , 173926
18.46 79.11 "Karimnagar" #India , 148583
35 137 "Kariya" #Japan , 125568
49 8.4 "Karlsruhe" #Germany , 277011
29.68 76.97 "Karnal" #India , 173751
33.28 44.38 "Karradah sharqiyah" #Iraq , 235554
38.88 65.75 "Karshi" #Uzbekistan , 163000
33.98 51.58 "Kashan" #Iran , 166080
39.48 75.97 "Kashi" #China , 214624
34.47 135.77 "Kashihara" #Japan , 120621
35.87 139.82 "Kashiwa" #Japan , 319321
15.4 36.42 "Kassala" #Sudan , 234270
51.3 9.5 "Kassel" #Germany , 201789
35.25 136.95 "Kasugai" #Japan , 275728
35.97 139.75 "Kasukabe" #Japan , 199498
31.12 74.5 "Kasur" #Pakistan , 794843
-26.33 28.15 "Kathlehong" #South Africa , 201785
27.71 85.31 "Kathmandu" #Nepal , 235160
25.57 87.6 "Katihar" #India , 154367
50.25 18.98 "Katowice" #Poland , 359776
13 7.53 "Katsina" #Nigeria , 109424
36.4 140.53 "Katsuta" #Japan , 114685
54.87 23.92 "Kaunas" #Lithuania , 421600
36.5 138 "Kawachinagano" #Japan , 115777
35.92 139.5 "Kawagoe" #Japan , 320639
35.78 139.7 "Kawaguchi" #Japan , 452381
34.82 135.42 "Kawanishi" #Japan , 143321
35.53 139.68 "Kawasaki" #Japan , 1202069
-33.92 18.85 "Kayamnandi" #South Africa , 220548
38.7 35.47 "Kayseri" #Turkey , 463759
55.75 49.17 "Kazan" #Russia , 1079800
46.9 19.7 "Kecskemet" #Hungary , 105064
-7.75 112.02 "Kediri" #Indonesia , 261300
3.02 101.55 "Kelang" #Malaysia , 243698
55.42 86.08 "Kemerovo" #Russia , 500772
-26.1 28.25 "Kempton park" #South Africa , 106606
26.13 32.7 "Kena" #Egypt , 141000
32.6 44.33 "Kerbala" #Iraq , 296705
30.3 57.08 "Kerman" #Iran , 349626
34.38 47.06 "Kermanshah" #Iran , 665636
45.37 36.45 "Kertch" #Ukraine , 182500
48.53 135.13 "Khabarovsk" #Russia , 616291
17.28 80.16 "Khammam" #India , 127992
21.82 76.38 "Khandwa" #India , 145133
25.12 86.55 "Kharagpur" #India , 177989
50 36.25 "Kharkov" #Ukraine , 1615000
15.55 32.53 "Khartoum" #Sudan , 924505
-34.05 18.67 "Khayelitsa" #South Africa , 189586
46.65 32.63 "Kherson" #Ukraine , 370500
55.88 37.43 "Khimki" #Russia , 135911
49.42 26.98 "Khmelnitsky" #Ukraine , 253200
32.7 51.47 "Khomeini shahr" #Iran , 127415
16.42 102.83 "Khon kaen" #Thailand , 5876000
33.48 48.35 "Khoramabad" #Iran , 277370
32.9 -6.95 "Khouribga" #Morocco , 137000
22.82 89.57 "Khulna" #Bangladesh , 268952
38.53 44.97 "Khvoy" #Iran , 153473
54.33 10.13 "Kiel" #Germany , 246586
50.85 20.65 "Kielce" #Poland , 213979
50.42 30.5 "Kiev" #Ukraine , 2646100
-1.93 30.07 "Kigali" #Rwanda , 116227
36.72 37.12 "Kilis" #Turkey , 107605
35.23 128.88 "Kimhae" #Korea, South , 106206
57.47 42.13 "Kineshma" #Russia , 102661
17.99 -76.8 "Kingston" #Jamaica , 104041
53.75 -0.33 "Kingston upon hull" #United Kingdom , 269144
39.85 33.53 "Kirikkale" #Turkey , 170300
57.17 -3.17 "Kirkcaldy" #United Kingdom , 148490
53.65 -1.78 "Kirklees" #United Kingdom , 386904
35.47 44.43 "Kirkuk" #Iraq , 418624
58.58 49.67 "Kirov" #Russia , 462910
48.52 32.25 "Kirovograd" #Ukraine , 281400
36.43 139.3 "Kiryu" #Japan , 121858
35.38 139.95 "Kisarazu" #Japan , 125510
54.02 86.68 "Kiselevsk" #Russia , 115912
47 28.83 "Kishinev" #Moldova , 667100
34.47 135.39 "Kishiwada" #Japan , 191872
43.93 42.73 "Kislovodsk" #Russia , 111317
-0.13 34.78 "Kisumu" #Kenya , 152643
33.87 130.82 "Kitakyushu" #Japan , 1019372
43.85 143.9 "Kitami" #Japan , 109405
43.45 -80.5 "Kitchener" #Canada , 168282
-12.83 28.18 "Kitwe" #Zambia , 338207
55.72 21.12 "Klaipeda" #Lithuania , 204300
53.45 -2.85 "Knowsley" #United Kingdom , 153953
35.97 -83.92 "Knoxville" #United States , 169311
34.68 135.2 "Kobe" #Japan , 1518982
50.35 7.6 "Koblenz" #Germany , 109550
33.55 133.53 "Kochi" #Japan , 320498
24.93 84.77 "Kochi" #India , 564589
35.72 139.5 "Kodaira" #Japan , 170720
40.23 69.67 "Kodzhent" #Tajikistan , 163000
35.7 138.57 "Kofu" #Japan , 199347
35.72 139.47 "Koganei" #Japan , 107766
40.55 70.92 "Kokand" #Uzbekistan , 176000
53.3 69.42 "Koktchetav" #Kazakstan , 144000
35.7 139.48 "Kokubanji" #Japan , 105066
16.67 74.33 "Kolhapur" #India , 406370
8.9 76.57 "Kollam" #India , 139852
55.08 38.75 "Kolomna" #Russia , 154455
59.73 30.65 "Kolpino" #Russia , 144142
35.28 136.92 "Komaki" #Japan , 135763
36.42 136.45 "Komatsu" #Japan , 106817
50.53 136.98 "Komsomolsk-na-amure" #Russia , 311179
51.25 33.23 "Konotop" #Ukraine , 100300
48.55 37.75 "Konstantinovka" #Ukraine , 106300
37.85 32.5 "Konya" #Turkey , 584785
22.28 82.81 "Korba" #India , 124501
9.46 -5.64 "Korhogo" #Cote dIvoire , 109445
37.38 140.37 "Koriyama" #Japan , 324321
41.73 86.15 "Korla" #China , 203025
50.83 3.27 "Kortrijk" #Belgium , 76081
43.88 144.78 "Koshigaya" #Japan , 297131
48.73 21.25 "Kosice" #Slovakia , 240139
57.77 40.98 "Kostroma" #Russia , 283101
54.17 16.17 "Koszalin" #Poland , 111013
25.18 75.97 "Kota" #India , 537371
6.12 102.23 "Kota bahru" #Malaysia , 219713
5.98 116.11 "Kota kinabalu" #Malaysia , 108725
17.57 80.66 "Kothagudem" #India , 80440
9.6 76.58 "Kottayam" #India , 63155
6.9 79.95 "Kotte" #Sri Lanka , 109000
56.38 41.35 "Kovrov" #Russia , 162269
11.25 75.77 "Kozhikode" #India , 419831
44.02 20.92 "Kragujevac" #Serbia and Montenegro , 146607
50.05 19.92 "Kraków" #Poland , 744203
48.72 37.53 "Kramatorsk" #Ukraine , 203900
45.03 39 "Krasnodar" #Russia , 640646
56.08 92.77 "Krasnoyarsk" #Russia , 868571
48.17 39 "Krasny lutch" #Ukraine , 114600
51.33 6.53 "Krefeld" #Germany , 249662
49.05 33.42 "Krementchug" #Ukraine , 247900
23.38 88.53 "Krishnanagar" #India , 121110
47.92 33.4 "Krivoi rog" #Ukraine , 737300
3.13 101.7 "Kuala lumpur" #Malaysia , 1145075
5.33 103.12 "Kuala terengganu" #Malaysia , 228659
3.83 103.32 "Kuantan" #Malaysia , 198956
1.53 110.33 "Kuching" #Malaysia , 63535
36.15 139.37 "Kumagaya" #Japan , 156734
32.83 130.7 "Kumamoto" #Japan , 642847
6.75 -1.58 "Kumasi" #Ghana , 260286
10.98 79.4 "Kumbakonam" #India , 139483
25.07 102.68 "Kunming" #China , 1611969
37.35 126.95 "Kunpo" #Korea, South , 100059
34.6 133.72 "Kurashiki" #Japan , 419528
34.23 132.55 "Kure" #Japan , 210884
55.5 65.33 "Kurgan" #Russia , 360610
37.58 127.13 "Kuri" #Korea, South , 109374
15.85 78.02 "Kurnool" #India , 236800
51.75 36.23 "Kursk" #Russia , 436144
33.33 130.48 "Kurume" #Japan , 233829
42.97 144.4 "Kushiro" #Japan , 201150
32.5 45.83 "Kut" #Iraq , 183183
42.25 42.73 "Kutaisi" #Georgia , 236000
29.33 48 "Kuwait city" #Kuwait , 78116
35.67 136.7 "Kuwana" #Japan , 101975
53.12 46.6 "Kuznetsk" #Russia , 101392
-29.75 30.98 "Kwamashu" #South Africa , 156679
37.37 126.43 "Kwang myong" #Korea, South , 328593
35.19 126.92 "Kwangchu" #Korea, South , 1236312
55.47 -4.63 "Kyle and carrick" #United Kingdom , 114360
35.03 135.75 "Kyoto" #Japan , 1448377
44.8 65.47 "Kzyl-orda" #Kazakstan , 164000
41.62 0.63 "Lérida" #Spain , 112461
51.82 19.47 "Lódz" #Poland , 835807
53.87 10.67 "Lübeck" #Germany , 216854
15.7 -86.75 "La ceiba" #Honduras , 103600
43.33 -8.42 "La coruña" #Spain , 248293
23.13 -82.37 "La habana" #Cuba , 2175888
28.48 -16.32 "La laguna" #Spain , 110895
50.48 4.2 "La louvière" #Belgium , 76138
-34.75 -58.58 "La matanza" #Argentina , 1111811
23.6 -110.32 "La paz" #Mexico , 137641
-34.91 -57.96 "La plata" #Argentina , 520647
-29.9 -71.25 "La serena" #Chile , 117983
44.13 9.83 "La spezia" #Italy , 308717
30.2 -92.02 "Lafayette" #United States , 102281
-27.82 -50.33 "Lages" #Brazil , 154896
6.45 3.47 "Lagos" #Nigeria , 1060848
31.57 74.37 "Lahore" #Pakistan , 291362
41.48 -81.83 "Lakewood" #United States , 126031
51.5 -0.12 "Lambeth" #United Kingdom , 260763
54.67 -2.83 "Lancaster" #United Kingdom , 134991
40.03 -76.32 "Lancaster" #United States , 119186
54.62 -1.07 "Langbaurgh-on-tees" #United Kingdom , 142797
39.52 116.68 "Langfang" #China , 1078010
42.78 -84.53 "Lansing" #United States , 119590
-34.72 -58.4 "Lanus" #Argentina , 466755
36.05 103.68 "Lanzhou" #China , 1617761
10.33 123.93 "Lapu-lapu" #Philippines , 141009
27.53 -99.37 "Laredo" #United States , 149914
39.63 22.42 "Larissa" #Greece , 113090
28.1 -15.43 "Las palmas" #Spain , 359611
14.47 120.97 "Las pinas" #Philippines , 380482
20.97 -76.95 "Las tunas" #Cuba , 126930
36.17 -115.17 "Las vegas" #United States , 327878
41.47 12.88 "Latina" #Italy , 99157
35.54 35.78 "Lattakia" #Syrian Arab Republic , 303000
18.4 76.57 "Latur" #India , 197408
46.53 6.65 "Lausanne" #Switzerland , 116917
45.57 -73.67 "Laval" #Canada , 314398
49.51 0.1 "Le havre" #France , 195932
48 0.2 "Le mans" #France , 145439
21.17 -101.7 "León" #Mexico , 758279
42.58 -5.57 "León" #Spain , 143496
45.85 9.38 "Lecco" #Italy , 229216
53.83 -1.58 "Leeds" #United Kingdom , 724448
40.33 -3.77 "Leganés" #Spain , 171589
13.17 123.75 "Legaspi" #Philippines , 125128
51.2 16.2 "Legnica" #Poland , 106812
52.63 -1.08 "Leicester" #United Kingdom , 293387
52.17 4.5 "Leiden" #Netherlands , 115167
51.33 12.42 "Leipzig" #Germany , 481121
-26.8 27.95 "Lekoa" #South Africa , 217582
27.68 111.42 "Lengshuijiang" #China , 316362
26.45 111.58 "Lengshuitan" #China , 403684
54.73 86.22 "Leninsk-kuznetsky" #Russia , 120652
51.03 6.98 "Leverkusen" #Germany , 161832
51.45 -0.02 "Lewisham" #United Kingdom , 242472
38.05 -84.5 "Lexington-fayette" #United States , 237612
29.65 91.1 "Lhasa" #China , 139822
50.63 5.58 "Liège" #Belgium , 196825
27.68 111.67 "Lianyuan" #China , 1006665
34.6 119.17 "Lianyungang" #China , 537355
36.43 115.97 "Liaocheng" #China , 838309
41.28 123.18 "Liaoyang" #China , 639553
42.9 125.13 "Liaoyuan" #China , 411073
50.8 15.08 "Liberec" #Czech Republic , 100934
30.3 108.85 "Lichuan" #China , 764267
35.52 137.83 "Lida" #Japan , 107021
56.49 21.02 "Liepaja" #Latvia , 102450
50.65 3.08 "Lille" #France , 172149
-13.97 33.82 "Lilongwe" #Malawi , 233973
-12.1 -77.05 "Lima" #Peru , 6414500
34.67 33.05 "Limassol" #Cyprus , 87136
-22.57 -47.42 "Limeira" #Brazil , 217489
45.83 1.25 "Limoges" #France , 133469
27.93 116.27 "Linchuan" #China , 872657
40.82 -96.68 "Lincoln" #United States , 203076
36.08 111.52 "Linfen" #China , 582690
28.85 121.12 "Linhai" #China , 980541
-19.37 -40.07 "Linhares" #Brazil , 121981
40.83 107.5 "Linhe" #China , 425973
58.42 15.58 "Linköping" #Sweden , 130489
36.85 115.68 "Linqing" #China , 672759
35.6 103.2 "Linxia" #China , 168714
35.08 118.33 "Linyi" #China , 1590160
48.32 14.3 "Linz" #Austria , 203044
13.95 121.17 "Lipa" #Philippines , 159769
52.62 39.6 "Lipetsk" #Russia , 469353
38.73 -9.13 "Lisbon" #Portugal , 663394
54.52 -6.67 "Lisburn" #United Kingdom , 105100
28.45 119.9 "Lishui" #China , 323933
48.88 38.42 "Lisichansk" #Ukraine , 127100
34.7 -92.28 "Little rock" #United States , 178136
26.55 104.87 "Liupanshui" #China , 1844471
24.28 109.25 "Liuzhou" #China , 751311
53.42 -2.92 "Liverpool" #United Kingdom , 474001
42.38 -83.38 "Livonia" #United States , 100415
43.55 10.3 "Livorno" #Italy , 101340
46.07 14.5 "Ljubljana" #Slovenia , 280146
42.47 -2.43 "Logroño" #Spain , 122607
-34.77 -58.4 "Lomas de zamora" #Argentina , 572769
6.17 1.35 "Lome" #Togo , 148156
42.97 -81.25 "London" #Canada , 341322
51.5 -0.17 "London" #United Kingdom , 6962319
-23.3 -51.22 "Londrina" #Brazil , 405116
33.78 -118.25 "Long beach" #United States , 433852
45.53 -73.52 "Longueuil" #Canada , 129874
10.38 105.42 "Longxuyen" #Vietnam , 132681
25.18 117.03 "Longyan" #China , 433621
42.77 129.4 "Longzing" #China , 279611
34 -118.17 "Los angeles" #United States , 3448613
25.8 -109 "Los mochis" #Mexico , 162659
10.42 -67.02 "Los teques" #Venezuela , 162145
27.75 111.98 "Loudi" #China , 300428
38.25 -85.77 "Louisville" #United States , 270308
31.75 116.48 "Luan" #China , 191447
-13.15 28.4 "Luanshya" #Zambia , 146275
33.58 -101.88 "Lubbock" #United States , 194467
51.3 22.52 "Lublin" #Poland , 350731
13.95 121.6 "Lucena city" #Philippines , 161049
26.83 80.9 "Lucknow" #India , 1619115
30.93 75.87 "Ludhiana" #India , 1042740
49.48 8.45 "Ludwigshafen am rhein" #Germany , 167883
48.58 39.33 "Lugansk" #Ukraine , 503800
33.57 114.03 "Luohe" #China , 187792
34.68 112.47 "Luoyang" #China , 1202192
-15.43 28.33 "Lusaka" #Zambia , 982362
51.88 -0.42 "Luton" #United Kingdom , 180848
50.75 25.33 "Lutsk" #Ukraine , 216800
49.62 6.13 "Luxembourg-ville" #Luxembourg , 76446
25.68 32.65 "Luxer" #Egypt , 146000
47.05 8.28 "Luzern" #Switzerland , 59683
28.88 105.38 "Luzhou" #China , 412211
-16.27 -47.95 "Luziania" #Brazil , 197459
49.83 24 "Lvov" #Ukraine , 810000
45.77 4.83 "Lyon" #France , 415479
55.63 37.97 "Lyubertsy" #Russia , 165295
36.72 -4.42 "Málaga" #Spain , 523450
8.4 -71.13 "Mérida" #Venezuela , 188063
20.98 -89.65 "Mérida" #Mexico , 600620
40.32 -3.88 "Móstoles" #Spain , 192018
51.2 6.42 "Mönchengladbach" #Germany , 266073
51.42 6.83 "Mülheim a.d. ruhr" #Germany , 176513
48.13 11.58 "München" #Germany , 1244676
51.97 7.62 "Münster" #Germany , 264887
31.73 118.48 "Maanshan" #China , 444586
50.85 5.7 "Maastricht" #Netherlands , 118278
-22.38 -41.8 "Macae" #Brazil , 106784
0 -51.17 "Macapá" #Brazil , 179273
22.27 113.56 "Macau" #Macau , 241413
53.25 -3.17 "Macclesfield" #United Kingdom , 151503
-9.62 -35.73 "Maceió" #Brazil , 666071
-3.33 -79.95 "Machala" #Ecuador , 144197
31.18 115.03 "Macheng" #China , 1056597
35.55 139.47 "Machida" #Japan , 360200
16.2 81.18 "Machilipatnam" #India , 159110
32.85 -83.63 "Macon" #United States , 109191
43.08 -89.42 "Madison" #United States , 194586
-7.62 111.55 "Madiun" #Indonesia , 106600
13.08 80.28 "Madras" #India , 3841396
40.41 -3.71 "Madrid" #Spain , 2976064
9.92 78.12 "Madurai" #India , 940989
36.4 139.07 "Maebashi" #Japan , 287145
-22.62 -43 "Magé" #Brazil , 167302
59.63 150.83 "Magadan" #Russia , 131674
52.13 11.62 "Magdeburg" #Germany , 265379
-7.47 110.18 "Magelang" #Indonesia , 123100
53.47 59.1 "Magnitogorsk" #Russia , 425503
16.76 77.94 "Mahbubnagar" #India , 116833
51.28 0.53 "Maidstone" #United Kingdom , 138456
11.88 13.27 "Maiduguri" #Nigeria , 189000
44.58 40.12 "Maikop" #Russia , 163755
50 8.27 "Mainz" #Germany , 184627
14.57 121.02 "Makati" #Philippines , 453170
48.02 38 "Makeyevka" #Ukraine , 424000
42.98 47.5 "Makhachkala" #Russia , 328193
21.43 39.82 "Makkah" #Saudi Arabia , 366801
3.72 8.8 "Malabo" #Equatorial Guinea , 30418
14.67 120.95 "Malabon" #Philippines , 280037
-7.98 112.75 "Malang" #Indonesia , 763400
11 76.03 "Malappuram" #India , 49692
38.37 38.3 "Malatya" #Turkey , 319700
34.32 48.85 "Malayer" #Iran , 149774
3.97 73.49 "Male" #Maldives , 29522
20.53 74.63 "Malegaon" #India , 342595
55.58 13 "Malmö" #Sweden , 242706
-25.67 28.33 "Mamelodi" #South Africa , 154845
33.6 44.5 "Mamoon" #Iraq , 244545
1.53 124.92 "Manado" #Indonesia , 398900
12.1 -86.3 "Managua" #Nicaragua , 608020
26.2 50.57 "Manama" #Bahrain , 140401
-3.1 -60 "Manaus" #Brazil , 1078277
53.5 -2.25 "Manchester" #United Kingdom , 431061
21.95 96.07 "Mandalay" #Myanmar , 532949
14.6 121.03 "Mandaluyong" #Philippines , 248143
10.33 123.93 "Mandaue" #Philippines , 212987
12.57 76.92 "Mandya" #India , 120265
12.9 74.85 "Mangalore" #India , 273304
-29.1 26.3 "Mangaung" #South Africa , 125545
14.62 120.97 "Manila" #Philippines , 1728441
38.6 27.48 "Manisa" #Turkey , 191287
5.05 -75.53 "Manizales" #Colombia , 142153
49.5 8.47 "Mannheim" #Germany , 316223
31.05 31.38 "Mansûra" #Egypt , 371000
53.15 -1.18 "Mansfield" #United Kingdom , 102127
-0.98 -80.73 "Manta" #Ecuador , 125505
-36.98 174.88 "Manukau" #New Zealand , 233600
49.6 117.43 "Manzhouli" #China , 137790
21.92 110.87 "Maoming" #China , 532715
-25.94 32.56 "Maputo" #Mozambique , 882601
-38 -57.58 "Mar del plata" #Argentina , 519707
-22.22 -49.97 "Marília" #Brazil , 167838
-5.38 -49.17 "Marabá" #Brazil , 138270
10.73 -71.66 "Maracaibo" #Venezuela , 1207513
-3.87 -38.63 "Maracanau" #Brazil , 177411
10.33 -67.47 "Maracay" #Venezuela , 384782
37.42 46.22 "Maragheh" #Iran , 128717
34.23 72.08 "Mardan" #Pakistan , 141168
46.57 15.63 "Marebor" #Slovenia , 130398
14.63 121.08 "Marikina" #Philippines , 310227
-23.43 -52.03 "Maringá" #Brazil , 252533
47.08 37.57 "Mariupol" #Ukraine , 524000
43.87 -79.27 "Markham" #Canada , 153811
31.82 -8 "Marrakech" #Morocco , 401000
43.3 5.37 "Marseille" #France , 800309
-29.32 27.48 "Maseru" #Lesotho , 13312
36.27 59.57 "Mashhad" #Iran , 1964489
31.98 49.3 "Masjed soleyman" #Iran , 109224
25.88 -97.5 "Matamoros" #Mexico , 266055
23.07 -81.58 "Matanzas" #Cuba , 122588
-8.6 116.12 "Mataram" #Indonesia , 306600
41.54 2.45 "Mataro" #Spain , 101510
27.5 77.8 "Mathura" #India , 226691
27.81 128.9 "Matsubara" #Japan , 133803
35.78 139.9 "Matsudo" #Japan , 463973
35.48 133.07 "Matsue" #Japan , 145885
36.3 137.97 "Matsumoto" #Japan , 204879
34.55 136.52 "Matsusaka" #Japan , 120746
33.83 132.78 "Matsuyama" #Japan , 457497
9.75 -63.17 "Maturín" #Venezuela , 233279
-23.67 -46.43 "Mauá" #Brazil , 310161
25.95 83.56 "Maunath bhanjan" #India , 136697
18.22 -67.15 "Mayagüez" #Puerto Rico , 104190
36.7 67.1 "Mazar-i-sharif" #Afghanistan , 130600
23.19 -106.42 "Mazatlán" #Mexico , 262705
-26.33 31.13 "Mbabane" #Swaziland , 38290
-8.9 33.48 "Mbeya" #Tanzania , 194000
3.58 98.65 "Medan" #Indonesia , 1909700
14.4 33.53 "Medani" #Sudan , 218714
6.25 -75.6 "Medellín" #Colombia , 280638
24.5 39.58 "Medina" #Saudi Arabia , 198186
22.33 87.15 "Medinipur" #India , 125498
29 77.7 "Meerut" #India , 753778
35.84 50.88 "Mehrshahr" #Iran , 413299
24.3 116.12 "Meizhou" #China , 232098
13.72 -89.2 "Mejicanos" #El Salvador , 131972
13.53 39.55 "Mekele" #Ethiopia , 119779
33.88 -5.62 "Meknès" #Morocco , 272000
-37.75 144.97 "Melbourne" #Australia , 3189200
46.85 35.37 "Melitopol" #Ukraine , 178100
35.12 -90 "Memphis" #United States , 614289
-32.8 -68.87 "Mendoza" #Argentina , 121739
28 30.75 "Menia" #Egypt , 208000
51.42 -0.2 "Merton" #United Kingdom , 177259
33.33 -111.93 "Mesa" #United States , 313649
32.77 -96.62 "Mesquite" #United States , 113631
38.22 15.55 "Messina" #Italy , 101456
49.12 6.18 "Metz" #France , 119598
32.65 -115.48 "Mexicali" #Mexico , 438377
19.42 -99.17 "Mexico, ciudad de" #Mexico , 8235744
54.72 88.18 "Mezhdurechensk" #Russia , 104303
25.87 -80.25 "Miami" #United States , 373024
31.47 104.77 "Mianyang" #China , 1701059
55 60.13 "Miass" #Russia , 166404
52.9 40.5 "Michurinsk" #Russia , 105434
52.08 -0.28 "Mid bedfordshire" #United Kingdom , 114853
51 -0.15 "Mid sussex" #United Kingdom , 125109
54.58 -1.23 "Middlesbrough" #United Kingdom , 146930
-2.18 -79.6 "Milagro" #Ecuador , 102884
45.47 9.2 "Milan" #Italy , 961916
52.33 -0.7 "Milton keynes" #United Kingdom , 188447
43.05 -87.93 "Milwaukee" #United States , 617044
17.98 -94.53 "Minatitlan" #Mexico , 142060
44.97 -93.33 "Minneapolis" #United States , 354590
35.57 136.93 "Minoo" #Japan , 124801
53.85 27.5 "Minsk" #Belarus , 1659700
25.17 82.75 "Mirzapur-cum-vindhyachal" #India , 169336
26.32 127.78 "Misato" #Japan , 133979
45.55 131.88 "Mishan" #China , 366998
35.13 138.9 "Mishima" #Japan , 107621
48.1 20.78 "Miskolc" #Hungary , 185877
43.63 -79.6 "Mississauga" #Canada , 463388
32.31 15.17 "Misurata" #Libya , 103302
35.7 139.57 "Mitaka" #Japan , 165328
36.37 140.48 "Mito" #Japan , 247281
31.72 131.03 "Miyakonojo" #Japan , 131319
31.93 131.45 "Miyazaki" #Japan , 296201
30.68 -88.05 "Mobile" #United States , 204490
44.65 10.92 "Modena" #Italy , 128119
37.62 -121 "Modesto" #United States , 176357
28.84 77.58 "Modinagar" #India , 101660
51.45 6.65 "Moers" #Germany , 107011
30.76 75.21 "Moga" #India , 108304
2.06 45.32 "Mogadishu" #Somalia , 230000
53.9 30.33 "Mogilev" #Belarus , 364600
34.84 126.44 "Mogpo" #Korea, South , 243064
33.72 -7.33 "Mohammedia" #Morocco , 602000
-23.75 -46.33 "Moji das cruzes" #Brazil , 285955
-22.37 -46.95 "Moji-guaçu" #Brazil , 106183
-7.47 112.43 "Mojokerto" #Indonesia , 170900
-4.04 39.69 "Mombasa" #Kenya , 442369
43.75 7.42 "Monaco" #Monaco , 27063
26.9 -101.42 "Monclova" #Mexico , 240056
55.87 -3.98 "Monklands" #United Kingdom , 102520
6.33 -10.77 "Monrovia" #Liberia , 421053
50.47 3.97 "Mons" #Belgium , 91867
8.75 -75.08 "Monteria" #Colombia , 139050
25.67 -100.33 "Monterrey" #Mexico , 1084696
-16.75 -43.87 "Montes claros" #Brazil , 262422
-34.87 -56.17 "Montevideo" #Uruguay , 1360258
32.38 -86.32 "Montgomery" #United States , 195471
43.6 3.88 "Montpellier" #France , 208103
45.5 -73.5833 "Montreal" #Canada , 1017666
22.08 95.2 "Monywa" #Myanmar , 106843
45.58 9.27 "Monza" #Italy , 107333
28.08 78.75 "Moradabad" #India , 429214
6.78 79.88 "Moratuwa" #Sri Lanka , 170000
19.67 -101.18 "Morelia" #Mexico , 428486
26.5 78 "Morena" #India , 147124
33.92 -117.15 "Moreno valley" #United States , 139311
34.73 135.57 "Moriguchi" #Japan , 155081
39.72 141.13 "Morioka" #Japan , 284906
-34.65 -58.62 "Moron" #Argentina , 641541
-11.67 43.27 "Moroni" #Comoros , 17267
22.82 70.98 "Morvi" #India , 90357
55.75 37.7 "Moscow" #Russia , 8436447
-5.17 -37.25 "Mossoró" #Brazil , 202684
43.35 17.82 "Mostar" #Bosnia and Herzegovina , 127034
36.35 43.13 "Mosul" #Iraq , 664221
55.78 -5.67 "Motherwell" #United Kingdom , 143710
16.5 97.67 "Moulmein" #Myanmar , 219961
52.03 29.17 "Mozir" #Belarus , 106900
44.58 129.6 "Mudangiang" #China , 750585
-12.5 28.2 "Mufulira" #Zambia , 152944
47.75 7.35 "Mulhouse" #France , 108358
30.17 71.6 "Multan" #Pakistan , 285719
22 81.7 "Munger" #India , 150112
14.4 121.06 "Muntinlupa" #Philippines , 275056
37.98 -1.13 "Murcia" #Spain , 331898
68.98 33.13 "Murmansk" #Russia , 410234
55.57 42.07 "Murom" #Russia , 124558
42.35 140.98 "Muroran" #Japan , 113008
23.82 80.47 "Murwara" #India , 163431
35.72 139.58 "Musashino" #Japan , 135508
23.56 58.58 "Muscat" #Oman , 5080
6.53 3.37 "Mushin" #Nigeria , 197000
29.43 77.67 "Muzaffarnagar" #India , 240609
26.12 85.38 "Muzaffarpur" #India , 241107
-2.52 32.93 "Mwanza" #Tanzania , 252000
24.75 90.38 "Mymensingh" #Bangladesh , 104387
12.3 76.62 "Mysore" #India , 480692
10.35 106.35 "Mytho" #Vietnam , 108404
55.9 37.78 "Mytishchi" #Russia , 153037
49.45 11.08 "Nürnberg" #Germany , 495845
23.4 88.38 "Nabadwip" #India , 125037
55.7 52.32 "Naberezhnye tchelny" #Russia , 529642
22.7 72.92 "Nadiad" #India , 167051
13.6 123.2 "Naga" #Philippines , 102545
36.65 138.17 "Nagano" #Japan , 354532
37.45 138.83 "Nagaoka" #Japan , 189876
35.85 139.9 "Nagareyama" #Japan , 146554
32.75 129.87 "Nagasaki" #Japan , 439471
8.18 77.5 "Nagercoil" #India , 190084
35.13 136.88 "Nagoya" #Japan , 2153293
21.17 79.2 "Nagpur" #India , 1624752
26.17 127.68 "Naha" #Japan , 299898
22.9 88.43 "Naihati" #India , 132701
-1.28 36.83 "Nairobi" #Kenya , 1162189
31.98 44.32 "Najaf" #Iraq , 309010
32.67 51.25 "Najafabad" #Iran , 182028
67.75 77.52 "Nakhodka" #Russia , 163004
15 102.1 "Nakhon ratchasima" #Thailand , 206000
15.7 100.07 "Nakhon sawan" #Thailand , 187000
8.4 99.97 "Nakhon si thammarat" #Thailand , 167000
43.52 43.63 "Naltchik" #Russia , 235303
41 71.67 "Namangan" #Uzbekistan , 312000
20.42 106.2 "Namdinh" #Vietnam , 171699
-15.15 39.23 "Nampula" #Mozambique , 182505
50.47 4.87 "Namur" #Belgium , 103935
28.68 115.88 "Nanchang" #China , 1262031
30.78 106.13 "Nanchong" #China , 279178
19.17 77.33 "Nanded" #India , 275083
15.52 78.48 "Nandyal" #India , 119813
37.37 115.37 "Nangong" #China , 429351
32.05 118.78 "Nanjiang" #China , 2610594
22.82 108.32 "Nanning" #China , 1159099
26.63 118.17 "Nanping" #China , 466995
47.23 -1.58 "Nantes" #France , 244514
26.63 118.17 "Nantong" #China , 1602029
33 112.53 "Nanyang" #China , 374600
24.82 88.98 "Naogaon" #Bangladesh , 100794
41.77 -88.13 "Naperville" #United States , 101163
40.83 14.25 "Napoli" #Italy , 232200
34.68 135.82 "Nara" #Japan , 357728
35.68 140.03 "Narashino" #Japan , 154329
23.62 90.5 "Narayanganj" #Bangladesh , 154175
31.03 46.26 "Nasariya" #Iraq , 265937
20 73.87 "Nashik" #India , 656925
36.2 -86.77 "Nashville-davidson" #United States , 504505
-5.77 -35.25 "Natal" #Brazil , 639160
19.47 -99.23 "Naucalpan" #Mexico , 772483
40.07 65.33 "Navoi" #Uzbekistan , 110000
14.71 121.01 "Navotas" #Philippines , 187479
20.85 72.92 "Navsari" #India , 126089
24.58 88.35 "Nawabganj" #Bangladesh , 160198
26.25 68.43 "Nawabshah" #Pakistan , 105559
8.65 39.32 "Nazerit" #Ethiopia , 147088
12.17 14.98 "Ndjamena" #Chad , 179000
-13 28.65 "Ndola" #Zambia , 376311
55.1 54.28 "Neftekamsk" #Russia , 117792
29.58 105.05 "Neijiang" #China , 1289184
2.97 -75.25 "Neiva" #Colombia , 122484
14.48 80 "Nellore" #India , 316606
45.67 -76.2 "Nepean" #Canada , 107627
32.33 34.85 "Netanya" #Israel , 143800
19.42 99.03 "Netzahualcóyotl" #Mexico , 1255456
-38.55 -68.05 "Neuquén" #Argentina , 167078
51.2 6.7 "Neuss" #Germany , 148870
44.63 41.98 "Nevinnomyssk" #Russia , 129446
28.62 77.22 "New delhi" #India , 301297
50.87 -1.57 "New forest" #United Kingdom , 166354
41.33 -72.9 "New haven" #United States , 119604
30 -90.05 "New orleans" #United States , 484149
40.75 -73.98 "New york" #United States , 7333253
40.7 -74.17 "Newark" #United States , 258751
51.4 -1.32 "Newbury" #United Kingdom , 141581
-32.92 151.77 "Newcastle" #Australia , 454800
55 -1.6 "Newcastle upon tyne" #United Kingdom , 283556
53 -2.23 "Newcastle-under-lyme" #United Kingdom , 123137
51.53 0.03 "Newham" #United Kingdom , 226850
51.58 -3 "Newport" #United Kingdom , 137406
37 -76.43 "Newport news" #United States , 179127
34.7 135.67 "Neyagawa" #Japan , 257521
36.22 58.82 "Neyshabur" #Iran , 154511
11.57 79.52 "Neyveli" #India , 118080
12.25 109.17 "Nhatrang" #Vietnam , 221331
13.53 2.08 "Niamey" #Niger , 225314
43.7 7.27 "Nice" #France , 342903
35.15 33.35 "Nicosia" #Cyprus , 47036
37.9 139.08 "Niigata" #Japan , 492009
33.93 133.25 "Niihama" #Japan , 128439
37.8 139.12 "Niiza" #Japan , 143280
51.83 5.87 "Nijmegen" #Netherlands , 147288
46.95 32 "Nikolaev" #Ukraine , 518700
47.57 34.42 "Nikopol" #Ukraine , 161200
-22.82 -43.42 "Nilópolis" #Brazil , 159197
43.83 4.35 "Nimes" #France , 128549
26.68 119.53 "Ninde" #China , 361223
29.88 121.55 "Ningbo" #China , 3350851
43.33 21.9 "Nis" #Serbia and Montenegro , 175555
34.73 135.37 "Nishinomiya" #Japan , 424328
-22.9 -43.1 "Niterói" #Brazil , 442786
18.67 78.08 "Nizamabad" #India , 241034
60.95 76.67 "Nizhenvartovsk" #Russia , 242615
55.6 51.78 "Nizhnekamsk" #Russia , 209706
56.33 44 "Nizhny novgorod" #Russia , 1382115
58 59.97 "Nizhny tagil" #Russia , 411248
32.6 131.67 "Nobeoka" #Japan , 127610
40 141.83 "Noda" #Japan , 118896
31.27 -111.05 "Nogales" #Mexico , 107936
55.87 38.48 "Noginsk" #Russia , 119673
28.51 77.33 "Noida" #India , 146514
13.8 100.18 "Nonthaburi" #Thailand , 112000
36.85 -76.28 "Norfolk" #United States , 241426
69.35 88.03 "Norilsk" #Russia , 166118
58.58 16.17 "Norrköping" #Sweden , 123240
51.98 -0.2 "North hertfordshire" #United Kingdom , 114303
55.02 -1.43 "North tyneside" #United Kingdom , 194082
51.6 -2.1 "North wiltshire" #United Kingdom , 118899
43.73 -79.43 "North york" #Canada , 562564
52.23 -0.9 "Northampton" #United Kingdom , 187608
51.6 -2.53 "Northavon" #United Kingdom , 140195
-36.8 174.78 "Northshore" #New Zealand , 155500
33.93 -118.07 "Norwalk" #United States , 100744
52.63 1.3 "Norwich" #United Kingdom , 127778
52.97 -1.17 "Nottingham" #United Kingdom , 282440
-22.27 166.43 "Noumea" #New Caledonia , 65110
-22.27 -42.57 "Nova friburgo" #Brazil , 174507
-22.75 -43.47 "Nova iguaçu" #Brazil , 792917
45.45 8.62 "Novara" #Italy , 116989
58.5 31.33 "Novgorod" #Russia , 231729
45.25 19.85 "Novi sad" #Serbia and Montenegro , 178896
-29.62 -51.12 "Novo hamburgo" #Brazil , 217418
56.08 47.45 "Novocheboksarsk" #Russia , 123459
47.42 40.08 "Novocherkassk" #Russia , 188031
53.08 49.98 "Novokuybishevsk" #Russia , 114307
53.75 87.2 "Novokuznetsk" #Russia , 574890
54.1 38.25 "Novomoskovsk" #Russia , 143499
44.73 37.77 "Novorossiysk" #Russia , 198536
47.77 39.92 "Novoshakhtinsk" #Russia , 105860
55.07 83.08 "Novosibirsk" #Russia , 1370544
51.2 58.33 "Novotroitsk" #Russia , 109294
-30.45 30.08 "Ntuzuma" #South Africa , 102310
13.68 -89.28 "Nueva san salvador" #El Salvador , 116575
27.5 -99.55 "Nuevo laredo" #Mexico , 219468
42.64 59.12 "Nukus" #Uzbekistan , 175000
35.13 138.83 "Numazu" #Japan , 213304
64.14 -51.58 "Nuuk" #Greenland , 12483
12.02 24.83 "Nyala" #Sudan , 227183
47.98 21.72 "Nyiregyhaza" #Hungary , 114276
37.83 -122.29 "Oakland" #United States , 366926
43.43 -79.67 "Oakville" #Canada , 114670
17.08 -96.68 "Oaxaca de juárez" #Mexico , 294961
51.47 6.83 "Oberhausen" #Germany , 225443
42.93 143.17 "Obihiro" #Japan , 171099
55.08 36.62 "Obninsk" #Russia , 107035
33.2 -117.38 "Oceanside" #United States , 146229
35.25 139.13 "Odawara" #Japan , 199165
46.5 30.75 "Odessa" #Ukraine , 1086700
55.65 37.25 "Odintsovo" #Russia , 130297
50.1 8.77 "Offenbach am main" #Germany , 116482
35.37 136.6 "Ogaki" #Japan , 149761
8.08 4.18 "Ogbomosho" #Nigeria , 432000
51.52 -3.58 "Ogwr" #United Kingdom , 135279
33.23 131.6 "Oita" #Japan , 424453
30.82 73.52 "Okara" #Pakistan , 5180562
34.67 133.9 "Okayama" #Japan , 608115
34.97 137.17 "Okazaki" #Japan , 322162
26.63 128 "Okinawa" #Japan , 111665
35.47 -97.55 "Oklahoma city" #United States , 463201
54.5 53.5 "Oktyabrsky" #Russia , 108977
53.13 8.22 "Oldenburg" #Germany , 149691
53.55 -2.12 "Oldham" #United Kingdom , 220402
-8 -34.85 "Olinda" #Brazil , 351441
49.63 17.25 "Olomouc" #Czech Republic , 105998
14.82 120.28 "Olongapo" #Philippines , 208633
53.8 20.48 "Olsztyn" #Poland , 165523
41.25 -96 "Omaha" #United States , 345033
15.62 32.48 "Omdurman" #Sudan , 228778
35.8 139.28 "Ome" #Japan , 136480
35.9 139.65 "Omiya" #Japan , 427519
55 73.37 "Omsk" #Russia , 1161991
33 130.45 "Omuta" #Japan , 146184
15.56 80.05 "Ongole" #India , 100836
6.17 6.78 "Onitsha" #Nigeria , 220000
34.07 -117.65 "Ontario" #United States , 134825
50.7 17.97 "Opole" #Poland , 129833
47.05 21.92 "Oradea" #Romania , 221885
35.69 -0.6 "Oran" #Algeria , 490788
30 -93.72 "Orange" #United States , 116785
41 37.87 "Ordu" #Turkey , 123782
55.78 39 "Orekhovo-zuevo" #Russia , 126277
52.97 36.07 "Orel" #Russia , 343291
51.83 55 "Orenburg" #Russia , 527803
42.33 -7.87 "Orense" #Spain , 103042
18.85 -97.13 "Orizaba" #Mexico , 225739
47.9 1.9 "Orléans" #France , 105099
28.5 -81.42 "Orlando" #United States , 176948
11.02 124.6 "Ormoc" #Philippines , 142092
54.52 30.43 "Orsha" #Belarus , 124700
51.22 58.58 "Orsk" #Russia , 275151
37.53 45 "Orumiyeh" #Iran , 396392
-17.98 -67.13 "Oruro" #Bolivia , 201831
34.67 135.5 "Osaka" #Japan , 2575042
-23.53 -46.77 "Osasco" #Brazil , 584140
40.62 72.82 "Osh" #Kyrgyzstan , 218300
43.88 -78.85 "Oshawa" #Canada , 129344
7.83 4.58 "Oshogbo" #Nigeria , 282000
45.55 18.68 "Osijek" #Croatia , 129792
59.93 10.75 "Oslo" #Norway , 473454
37.07 36.25 "Osmaniye" #Turkey , 140257
52.28 8.05 "Osnabrück" #Germany , 168050
-40.58 -73.23 "Osorno" #Chile , 123055
49.83 18.25 "Ostrava" #Czech Republic , 326049
36.57 140.5 "Ota" #Japan , 143562
43.19 140.98 "Otaru" #Japan , 159993
35 135.83 "Otsu" #Japan , 272668
45.42 -75.72 "Ottawa" #Canada , 313987
12.33 -2.33 "Ouagadougou" #Burkina Faso , 634479
34.68 -1.83 "Oujda" #Morocco , 190000
65.17 25.47 "Oulu" #Finland , 105382
38.95 -94.68 "Overland park" #United States , 125225
43.35 -5.83 "Oviedo" #Spain , 195651
51.77 -1.25 "Oxford" #United Kingdom , 132758
34.18 -119.17 "Oxnard" #United States , 145863
36.3 139.8 "Oyama" #Japan , 148438
7.83 3.92 "Oyo" #Nigeria , 152000
59.3 15.08 "Örebro" #Sweden , 118606
46.08 18.22 "Pécs" #Hungary , 167772
38.03 23.65 "Péristéri" #Greece , 137288
-30.05 -51.17 "Pórto alegre" #Brazil , 1280114
-8.75 -63.9 "Pórto velho" #Brazil , 296770
24 89.25 "Pabna" #Bangladesh , 163481
20.17 -98.73 "Pachuca" #Mexico , 180630
-1 100.38 "Padang" #Indonesia , 721500
51.72 8.73 "Paderborn" #Germany , 131513
45.4 11.88 "Padova" #Italy , 2693383
7.84 123.5 "Pagadian" #Philippines , 113905
-14.31 -170.72 "Pago pago" #American Samoa , 3519
-6.88 109.67 "Pakalongan" #Indonesia , 341400
0.5 101.25 "Pakan baru" #Indonesia , 558200
10.77 76.7 "Palakkad" #India , 123289
-2.2 113.83 "Palangkaraya" #Indonesia , 148700
-2.98 104.75 "Palembang" #Indonesia , 1352300
38.1 13.38 "Palermo" #Italy , 1054601
25.75 73.37 "Pali" #India , 136842
39.58 2.65 "Palma de mallorca" #Spain , 298971
34.58 -118.12 "Palmdale" #United States , 103423
3.55 -76.28 "Palmira" #Colombia , 1452392
42.82 -1.65 "Pamplona" #Spain , 181349
8.98 -79.5 "Panama" #Panama , 452041
55.73 24.4 "Panevezhis" #Lithuania , 131800
-2.08 106.15 "Pangkal pinang" #Indonesia , 124000
22.7 88.37 "Panihati" #India , 275990
29.4 76.97 "Panipat" #India , 191212
41.6 122.82 "Panjin" #China , 428314
26.55 101.73 "Panzhihua" #China , 631572
-17.58 -149.57 "Papeete" #French Polynesia , 25342
9.38 2.67 "Parakou" #Benin , 103577
5.87 -55.23 "Paramaribo" #Suriname , 110867
-31.75 -60.5 "Paraná" #Argentina , 206848
-25.57 -48.5 "Paranagua" #Brazil , 112041
14.49 120.99 "Paranaque" #Philippines , 308236
19.27 76.85 "Parbhani" #India , 190255
-4.17 119.63 "Pare pare" #Indonesia , 109700
48.87 2.33 "Paris" #France , 2152329
44.8 10.32 "Parma" #Italy , 1371008
-2.97 -41.77 "Parnaíba" #Brazil , 127953
34.17 -118.15 "Pasadena" #United States , 134170
29.7 -95.23 "Pasadena" #United States , 129292
14.55 121 "Pasay" #Philippines , 388129
14.57 121.07 "Pasig" #Philippines , 397679
-28.27 -52.33 "Passo fundo" #Brazil , 146638
1.2 -77.28 "Pasto" #Colombia , 165829
-7.63 112.9 "Pasuruan" #Indonesia , 162800
40.92 -74.17 "Paterson" #United States , 138290
32.27 75.72 "Pathankot" #India , 123930
30.35 76.45 "Patiala" #India , 238368
25.58 85.3 "Patna" #India , 917243
-18.58 -46.53 "Patos de minas" #Brazil , 105804
38.23 21.73 "Patrai" #Greece , 153344
-7.93 -34.83 "Paulista" #Brazil , 227266
48.57 35.83 "Pavlograd" #Ukraine , 137300
52.3 76.95 "Pavlograd" #Kazakstan , 349000
17.3 96.52 "Pegu" #Myanmar , 150528
-31.75 -52.33 "Pelotas" #Brazil , 299592
-6.88 109.38 "Pematang siantar" #Indonesia , 230900
53.18 45 "Penza" #Russia , 528181
40.7 -89.67 "Peoria" #United States , 112878
4.78 -75.77 "Pereira" #Colombia , 179908
58.02 56.17 "Perm" #Russia , 1034201
42.7 2.9 "Perpignan" #France , 105869
-31.97 115.82 "Perth" #Australia , 1221200
56.4 -3.47 "Perth and kinross" #United Kingdom , 129180
43.12 12.38 "Perugia" #Italy , 93464
56.98 59.97 "Pervouralsk" #Russia , 135906
42.45 14.22 "Pescara" #Italy , 330037
34.02 71.67 "Peshawar" #Pakistan , 195558
32.08 34.88 "Petah tiqwa" #Israel , 151500
3.1 101.62 "Petaling jaya" #Malaysia , 254849
10.52 -66.83 "Petare" #Venezuela , 379338
52.58 -0.25 "Peterborough" #United Kingdom , 158654
-22.5 -43.1 "Petrópolis" #Brazil , 259879
-9.37 -40.5 "Petrolina" #Brazil , 173624
54.88 69.22 "Petropavlovsk" #Kazakstan , 248000
53.05 158.72 "Petropavlovsk-kamchatsky" #Russia , 216956
61.77 34.32 "Petrozavodsk" #Russia , 279188
48.88 8.68 "Pforzheim" #Germany , 117960
40 -75.17 "Philadelphia" #United States , 1524249
11.58 104.92 "Phnom penh" #Cambodia , 393995
33.5 -112.17 "Phoenix" #United States , 1048949
45.05 9.68 "Piacenza" #Italy , 90475
46.88 26.38 "Piatra neamt" #Romania , 125622
-29.6 30.4 "Pietermaritzburg" #South Africa , 156473
28.64 79.81 "Pilibhit" #India , 106605
22.4 -83.7 "Pinar del río" #Cuba , 128570
-22.92 -45.47 "Pindamonhangaba" #Brazil , 107584
33.73 113.3 "Pingdingshan" #China , 1827593
22.67 120.48 "Pingdong" #China , 165360
35.53 106.68 "Pingliang" #China , 386325
52.13 26.02 "Pinsk" #Belarus , 129100
27.62 113.85 "Pinxiang" #China , 1388427
-22.75 -47.67 "Piracicaba" #Brazil , 290641
37.95 23.7 "Piraiévs" #Greece , 182671
-25.43 -49.07 "Piraquara" #Brazil , 106882
43.72 10.4 "Pisa" #Italy , 203254
44.85 24.85 "Pitesti" #Romania , 184171
40.43 -80 "Pittsburgh" #United States , 258883
-5.25 -80.63 "Piura" #Peru , 306500
49.75 13.42 "Pizen" #Czech Republic , 172055
43.42 24.67 "Plévène" #Bulgaria , 130354
33 -96.75 "Plano" #United States , 157394
52.53 19.67 "Plock" #Poland , 125364
44.95 26.02 "Ploiesti" #Romania , 254136
42.13 24.75 "Plovdiv" #Bulgaria , 345205
50.38 -4.17 "Plymouth" #United Kingdom , 255815
16.73 -62.23 "Plymouth" #Montserrat , 1478
-21.8 -46.55 "Pocos de caldas" #Brazil , 114056
42.47 19.28 "Podgorica" #Serbia and Montenegro , 118059
55.38 37.53 "Podolsk" #Russia , 201649
35.98 129.43 "Pohang" #Korea, South , 317768
-4.77 11.88 "Pointe-noire" #Congo , 298014
49.58 34.58 "Poltava" #Ukraine , 325800
34.03 -117.82 "Pomona" #United States , 143870
18.02 -66.6 "Ponce" #Puerto Rico , 193069
11.98 79.83 "Pondicherry" #India , 203065
-25.12 -50.15 "Ponta grossa" #Brazil , 242026
-0.08 109.27 "Pontianak" #Indonesia , 449100
50.73 -1.98 "Poole" #United Kingdom , 138100
2.45 -76.53 "Popayan" #Colombia , 192409
21.67 69.67 "Porbandar" #India , 116671
-33.97 25.6 "Port elizabeth" #South Africa , 303353
4.72 7.17 "Port harcourt" #Nigeria , 242000
-20.17 57.53 "Port louis" #Mauritius , 144776
-9.46 147.13 "Port moresby" #Papua New Guinea , 173500
31.2 32.3 "Port said" #Egypt , 460000
19.63 37.12 "Port sudan" #Sudan , 305385
18.55 -72.33 "Port-au-prince" #Haiti , 690168
45.53 -122.67 "Portland" #United States , 450777
41.15 -8.62 "Porto" #Portugal , 302467
10.65 -61.52 "Port-of-spain" #Trinidad and Tobago , 44222
6.5 2.67 "Porto-novo" #Benin , 179138
-1.12 -80.47 "Portoviejo" #Ecuador , 132937
50.8 -1.08 "Portsmouth" #United Kingdom , 189270
36.83 -76.33 "Portsmouth" #United States , 103464
-27.45 -55.83 "Posadas" #Argentina , 201943
-19.57 -65.75 "Potosí" #Bolivia , 123327
52.4 13.07 "Potsdam" #Germany , 138268
20.55 -97.47 "Poza rica de hidalgo" #Mexico , 172232
52.42 16.88 "Poznan" #Poland , 582839
50.1 14.43 "Praha" #Czech Republic , 1216568
14.93 -23.55 "Praia" #Cape Verde , 61644
-24 -46.4 "Praia grande" #Brazil , 133257
43.88 11.1 "Prato" #Italy , 87140
-22.15 -51.4 "Presidente prudente" #Brazil , 170349
53.77 -2.7 "Preston" #United Kingdom , 133127
44.98 16.7 "Prijedor" #Bosnia and Herzegovina , 112635
42.65 21.17 "Pristina" #Serbia and Montenegro , 108083
-7.75 113.15 "Probolinggo" #Indonesia , 190100
14.75 78.57 "Proddatur" #India , 133914
53.92 86.75 "Prokopyevsk" #Russia , 251407
41.73 -71.25 "Providence" #United States , 150639
57.8 28.43 "Pskov" #Russia , 206956
-8.35 -74.55 "Pucallpa" #Peru , 161200
19.05 -98.2 "Puebla de zaragoza" #Mexico , 772908
38.28 -104.63 "Pueblo" #United States , 100471
-33.53 -70.58 "Puente alto" #Chile , 318898
10.47 -68.17 "Puerto cabello" #Venezuela , 143765
-41.47 -72.93 "Puerto montt" #Chile , 122399
18.57 73.97 "Pune" #India , 1566651
-53.17 -70.93 "Punta arenas" #Chile , 117206
29.72 113.88 "Puqi" #China , 416634
19.82 85.9 "Puri" #India , 125199
25.75 87.52 "Purnia" #India , 114912
25.43 119.02 "Putian" #China , 311336
35.7 114.98 "Puyang" #China , 302077
44.07 43.1 "Pyatigorsk" #Russia , 128003
36.47 52.87 "Qaem shahr" #Iran , 133216
36.27 50 "Qazvin" #Iran , 298705
30.42 112.85 "Qianjiang" #China , 667707
36.07 120.32 "Qingdo" #China , 5124868
38.03 106.05 "Qingtongxia" #China , 215040
23.7 113.03 "Qingyuan" #China , 962955
39.93 119.62 "Qinhuangdo" #China , 518912
21.95 108.62 "Qinzhou" #China , 992399
47.35 124 "Qiqihar" #China , 1400591
45.8 130.85 "Qitaihe" #China , 445216
34.65 50.95 "Qom" #Iran , 780453
46.83 -71.25 "Québec" #Canada , 167517
15.15 108.83 "Quang ngai" #Vietnam , 34402
24.9 118.58 "Quanzhou" #China , 752742
-10.98 -39.63 "Queimados" #Brazil , 101447
20.63 -100.38 "Querétaro" #Mexico , 416340
30.25 67 "Quetta" #Pakistan , 204364
14.83 -91.52 "Quezal tenango" #Guatemala , 101168
14.65 121.03 "Quezon city" #Philippines , 1676644
13.78 109.18 "Qui nhon" #Vietnam , 163385
-34.73 -58.27 "Quilmes" #Argentina , 509445
-33.08 -71.55 "Quilpué" #Chile , 110340
-0.23 -78.5 "Quito" #Ecuador , 1100847
25.48 103.78 "Qujing" #China , 824137
28.97 118.87 "Quzhou" #China , 727256
34.03 -6.85 "Rabat" #Morocco , 234000
9.92 105.08 "Rach gia" #Vietnam , 141132
51.43 21.17 "Radom" #Poland , 230987
26.21 81.26 "Rae bareli" #India , 129904
28.37 70.33 "Rahimyar khan" #Pakistan , 751529
16.25 77.33 "Raichur" #India , 157551
25.66 88.14 "Raiganj" #India , 151045
21.28 81.75 "Raipur" #India , 438639
17 81.87 "Rajahmundry" #India , 324851
35.8 50.98 "Rajai shahr" #Iran , 192912
9.42 77.58 "Rajapalaiyam" #India , 114202
22.25 70.93 "Rajkot" #India , 559407
21.19 81.06 "Rajnandgaon" #India , 125371
24.4 88.67 "Rajshahi" #Bangladesh , 1363998
35.77 -78.63 "Raleigh" #United States , 236707
33.42 43.3 "Ramadi" #Iraq , 192556
18.73 79.41 "Ramagundam" #India , 214384
32.07 34.8 "Ramat gan" #Israel , 122500
28.8 79 "Rampur" #India , 243742
-34.17 -70.75 "Rancagua" #Chile , 193755
23.37 85.33 "Ranchi" #India , 599306
34.15 -117.83 "Rancho cucamonga" #United States , 114799
25.75 89.35 "Rangpur" #Bangladesh , 143282
23.67 87.25 "Raniganj" #India , 61997
-21.25 -159.75 "Rarotonga" #Cook Islands , 9281
37.3 49.63 "Rasht" #Iran , 374475
23.3 75 "Ratlam" #India , 183375
22.23 84.83 "Raurkela" #India , 140408
44.42 12.02 "Ravenna" #Italy , 98233
33.6 73.13 "Rawalpindi" #Pakistan , 155058
51.47 -0.98 "Reading" #United Kingdom , 138503
-8.06 -34.88 "Recife" #Brazil , 1314857
51.62 7.18 "Recklinghausen" #Germany , 127139
50.92 -1.47 "Redbridge" #United Kingdom , 225102
49.02 12.12 "Regensburg" #Germany , 125608
38.1 15.65 "Reggio di calabria" #Italy , 404322
44.7 10.62 "Reggio nellemilia" #Italy , 115655
50.5 -104.63 "Regina" #Canada , 179178
49.25 4.03 "Reims" #France , 180611
51.17 7.18 "Remscheid" #Germany , 123069
55.87 -4.37 "Renfrew" #United Kingdom , 201690
48.1 -1.67 "Rennes" #France , 197497
39.53 -119.82 "Reno" #United States , 145029
-27.47 -59 "Resistencia" #Argentina , 228199
48.48 9.22 "Reutlingen" #Germany , 107782
24.55 81.42 "Rewa" #India , 128981
64.15 -21.97 "Reykjavik" #Iceland , 101418
26.08 -98.3 "Reynosa" #Mexico , 282667
51.77 -3.3 "Rhymney valley" #United Kingdom , 104267
-19.78 -45 "Ribeirao das neves" #Brazil , 156865
-21.17 -47.83 "Ribeirao preto" #Brazil , 450690
37.55 -77.45 "Richmond" #United States , 201108
45.67 -72.13 "Richmond" #Canada , 126624
56.88 24.13 "Riga" #Latvia , 847976
45.33 14.45 "Rijeka" #Croatia , 167964
44.05 12.57 "Rimini" #Italy , 341273
45.1 24.35 "Rimnicu vilcea" #Romania , 114286
-9.98 -67.82 "Rio branco" #Brazil , 195943
-22.32 -47.58 "Rio claro" #Brazil , 143005
-33.13 -64.33 "Rio cuarto" #Argentina , 133741
-22.88 -43.28 "Rio de janeiro" #Brazil , 5547033
-32.13 -52.13 "Rio grande" #Brazil , 176891
31.97 34.8 "Rishon leziyyon" #Israel , 157200
33.98 -117.37 "Riverside" #United States , 261644
24.65 46.77 "Riyadh" #Saudi Arabia , 666840
35.43 119.45 "Rizhao" #China , 1027724
18.47 -64.65 "Road town" #British Virgin Islands , 891
53.62 -2.15 "Rochdale" #United Kingdom , 207147
43.17 -77.62 "Rochester" #United States , 231170
51.4 0.5 "Rochester-upon-medway" #United Kingdom , 145463
42.33 -89 "Rockford" #United States , 143263
28.92 76.72 "Rohtak" #India , 216096
41.88 12.5 "Rome" #Italy , 101179
-16.48 -54.62 "Rondonópolis" #Brazil , 131239
-26.17 27.88 "Roodepoort" #South Africa , 162632
-33 -60.67 "Rosario" #Argentina , 894645
15.3 -61.34 "Roseau" #Dominica , 16243
54.07 12.15 "Rostock" #Germany , 232634
47.25 39.75 "Rostov-na-donu" #Russia , 1013001
53.43 -1.33 "Rotherham" #United Kingdom , 256277
51.92 4.48 "Rotterdam" #Netherlands , 598236
49.43 1.08 "Rouen" #France , 102722
43.83 25.98 "Roussé" #Bulgaria , 170209
50.65 26.17 "Rovno" #Ukraine , 245200
11.6 122.75 "Roxas" #Philippines , 111649
51.57 81.18 "Rubtsovsk" #Russia , 170611
50.27 18.83 "Ruda slaska" #Poland , 167769
52.95 63.12 "Rudni" #Kazakstan , 130000
52.93 -1.13 "Rushcliffe" #United Kingdom , 102967
32.02 36.03 "Russiefa" #Jordan , 115500
41.57 45.05 "Rustavi" #Georgia , 160000
54.62 39.72 "Ryazan" #Russia , 528241
58.05 38.87 "Rybinsk" #Russia , 249515
50.12 18.5 "Rybnik" #Poland , 143384
50.07 22 "Rzeszów" #Poland , 157736
49.25 6.97 "Saarbrücken" #Germany , 189012
41.55 2.12 "Sabadell" #Spain , 189404
36.22 57.63 "Sabzewar" #Iran , 160755
38.65 -121.5 "Sacramento" #United States , 373964
32.3 -9.25 "Safi" #Morocco , 564000
33.25 130.33 "Saga" #Japan , 170294
35.58 139.33 "Sagamihara" #Japan , 567058
23.83 78.73 "Sagar" #India , 195346
29.97 77.55 "Saharanpur" #India , 374945
25.8 89 "Saidpur" #Bangladesh , 3397187
-20.92 55.45 "Saint-denis" #Reunion , 121999
45.43 4.38 "Saint-etienne" #France , 199528
16.02 -16.51 "Saint-louis" #Senegal , 132499
34.58 135.47 "Sakai" #Japan , 803640
40.75 30.38 "Sakarya" #Turkey , 185187
38.92 139.85 "Sakata" #Japan , 100663
35.72 140.22 "Sakura" #Japan , 159839
40.97 -5.67 "Salamanca" #Spain , 163400
20.57 -101.2 "Salamanca" #Mexico , 123190
-7.32 110.5 "Salatiga" #Indonesia , 103000
53.37 55.83 "Salavat" #Russia , 156747
34.03 -6.82 "Sale" #Morocco , 125000
42.52 -70.88 "Salem" #United States , 115912
11.67 78.18 "Salem" #India , 366712
40.67 14.77 "Salerno" #Italy , 200722
53.5 -2.27 "Salford" #United Kingdom , 230693
36.65 -121.67 "Salinas" #United States , 119814
51.67 -1.78 "Salisbury" #United Kingdom , 110015
29.34 48.06 "Salmiya" #Kuwait , 113943
40.75 -111.92 "Salt lake city" #United States , 171849
-24.77 -65.47 "Salta" #Argentina , 367099
25.5 -101 "Saltillo" #Mexico , 457716
-12.97 -38.48 "Salvador" #Brazil , 2174072
47.8 13.05 "Salzburg" #Austria , 143973
52.22 10.33 "Salzgitter" #Germany , 117842
53.17 50.17 "Samara" #Russia , 1190191
-0.5 117.15 "Samarinda" #Indonesia , 536100
39.67 66.95 "Samarkand" #Uzbekistan , 370000
21.47 83.97 "Sambalpur" #India , 131138
21.47 84.07 "Sambhal" #India , 150869
41.27 36.35 "Samsun" #Turkey , 330360
29.5 -98.5 "San antonio" #United States , 998905
34.12 -117.3 "San bernardino" #United States , 181718
-33.62 -70.75 "San bernardo" #Chile , 206315
15.98 120.37 "San carlos" #Philippines , 123473
10.55 123.38 "San carlos" #Philippines , 105713
7.77 -72.25 "San cristóbal" #Venezuela , 238670
32.83 -117.17 "San diego" #United States , 1151977
-34.28 -58.6 "San fernando" #Argentina , 141496
7.9 -67.47 "San fernando de apure" #Venezuela , 72733
37.75 -122.45 "San francisco" #United States , 734676
-34.31 -58.55 "San isidro" #Argentina , 299022
9.98 -84.07 "San jose" #Costa Rica , 315909
37.33 -122 "San jose" #United States , 616884
10.28 125.18 "San juan" #Philippines , 126854
18.44 -66.13 "San juan" #Puerto Rico , 451168
-31.55 -68.52 "San juan" #Argentina , 119492
-25.33 -57.53 "San lorenzo" #Paraguay , 133395
22.17 -101 "San luis potosí" #Mexico , 658712
43.93 12.42 "San marino" #San Marino , 2792
13.47 -88.17 "San miguel" #El Salvador , 127696
-26.78 -65.25 "San miguel de tucumán" #Argentina , 470604
9.03 -79.5 "San miguelito" #Panama , 290919
-33.42 -60.25 "San nicolas" #Argentina , 114752
14.05 121.32 "San pablo" #Philippines , 163297
15.43 -88.02 "San pedro sula" #Honduras , 397201
13.67 -89.17 "San salvador" #El Salvador , 415346
-24.17 -65.8 "San salvador de jujuy" #Argentina , 181318
43.32 -1.98 "San sebastián" #Spain , 171540
35.3 47.02 "Sanandaj" #Iran , 271314
-26.1 28.07 "Sandton" #South Africa , 101197
52.5 -1.97 "Sandwell" #United Kingdom , 293742
16.92 74.55 "Sangli" #India , 193197
34.83 111.08 "Sanmenxia" #China , 309543
26.23 117.58 "Sanming" #China , 585646
14 -89.52 "Santa ana" #El Salvador , 139389
34.42 -119.68 "Santa ana" #United States , 290827
-22.75 -47.42 "Santa barbara doeste" #Brazil , 156928
22.42 -79.97 "Santa clara" #Cuba , 205400
34.43 -118.53 "Santa clarita" #United States , 123676
41.47 2.23 "Santa coloma de gramanet" #Spain , 133138
-17.75 -63.23 "Santa cruz" #Bolivia , 767260
28.47 -16.25 "Santa cruz de tenerife" #Spain , 202112
-29.7 -52.42 "Santa cruz do sul" #Brazil , 117773
-31.58 -60.68 "Santa fé" #Argentina , 342796
4.63 -74.08 "Santa fe de bogota" #Colombia , 181157
-19.78 -43.87 "Santa luzia" #Brazil , 151064
-3.7 43.33 "Santa luzia" #Brazil , 122288
-29.67 -53.67 "Santa maria" #Brazil , 220980
11.3 -74.17 "Santa marta" #Colombia , 150838
38.43 -122.72 "Santa rosa" #United States , 116962
43.38 -3.8 "Santander" #Spain , 191155
-2.43 -54.68 "Santarém" #Brazil , 277482
-33.5 -70.67 "Santiago" #Chile , 4229970
20 -75.82 "Santiago de cuba" #Cuba , 430494
23.22 88.45 "Santipur" #India , 109956
-23.65 -46.48 "Santo andré" #Brazil , 627850
18.5 -69.95 "Santo domingo" #Dominican Republic , 2134779
-23.84 -46.37 "Santos" #Brazil , 419477
18.23 109.48 "Sanya" #China , 306948
-23.75 -46.57 "Sao bernardo do campo" #Brazil , 590896
-23.62 -46.57 "Sao caetano do sul" #Brazil , 147215
-22 -47.83 "Sao carlo" #Brazil , 164792
-22.81 -43.06 "Sao gonçalo" #Brazil , 807774
-22.8 -43.37 "Sao joao de meriti" #Brazil , 430350
-27.58 -48.67 "Sao josé" #Brazil , 148272
-20.83 -49.33 "Sao josé do rio prêto" #Brazil , 299927
-23.12 -45.87 "Sao josé dos campos" #Brazil , 468678
-25.57 -49.22 "Sao josé dos pinhais" #Brazil , 137108
-29.75 -51.18 "Sao leopoldo" #Brazil , 179682
-2.65 -44.25 "Sao luís" #Brazil , 738327
-23.55 -46.63 "Sao paolo" #Brazil , 9842059
0.32 6.72 "Sao tome" #Sao Tome and Principe , 5714
-23.95 -46.47 "Sao vicente" #Brazil , 281464
43.08 141.35 "Sapporo" #Japan , 1744806
-29.83 -51.15 "Sapucaia" #Brazil , 109220
14.53 100.88 "Saraburi" #Thailand , 278000
43.87 18.43 "Sarajevo" #Bosnia and Herzegovina , 529021
54.2 45.17 "Saransk" #Russia , 320432
64.25 60.97 "Sarapyul" #Russia , 109003
51.5 45.92 "Saratov" #Russia , 894572
32.02 72.67 "Sargodha" #Pakistan , 658753
36.55 53.1 "Sari" #Iran , 185899
33.17 129.7 "Sasebo" #Japan , 245015
52.17 -106.67 "Saskatoon" #Canada , 186058
-26.83 27.85 "Sasolburg" #South Africa , 33305
40.72 8.57 "Sassari" #Italy , 137336
24.59 80.91 "Satna" #India , 156630
47.8 22.87 "Satu-mare" #Romania , 131431
33.45 -111.98 "Savannah" #United States , 140597
35.07 135.22 "Sayama" #Japan , 163053
43.73 -79.27 "Scarborough" #Canada , 524598
54.28 -0.43 "Scarborough" #United Kingdom , 108654
53.63 11.42 "Schwerin" #Germany , 118291
33.45 -111.98 "Scottsdale" #United States , 152439
47.58 -122.33 "Seattle" #United States , 520947
51.15 -2.72 "Sedgemoor" #United Kingdom , 101443
53.5 -2.97 "Sefton" #United Kingdom , 292363
-6.97 110.48 "Semarang" #Indonesia , 1366500
50.43 80.27 "Semipalatinsk" #Kazakstan , 342000
31.83 130.28 "Sendai" #Japan , 958705
37.42 127.1 "Seongnam" #Korea, South , 540754
37.5 127 "Seoul" #Korea, South , 10776201
22.73 88.35 "Serampore" #India , 137028
2.7 101.9 "Seremban" #Malaysia , 182584
56.33 38.17 "Sergiev posad" #Russia , 113840
59.7 60.53 "Serov" #Russia , 100055
54.88 37.42 "Serpukhov" #Russia , 139198
-20.1 -40.27 "Serra" #Brazil , 245870
-19.48 -44.25 "Sete lagoas" #Brazil , 151385
36.18 5.4 "Setif" #Algeria , 129754
35.23 137 "Seto" #Japan , 128961
38.53 -8.9 "Setubal" #Portugal , 103634
44.6 33.52 "Sevastopol" #Ukraine , 374800
51.27 0.2 "Sevenoaks" #United Kingdom , 109919
48.97 38.48 "Severodonetsk" #Ukraine , 135100
64.57 39.83 "Severodvinsk" #Russia , 247020
37.4 -5.98 "Seville" #Spain , 678902
52.08 4.27 "S-gravenhage" #Netherlands , 444108
36.83 114.55 "Shahe" #China , 394321
27.88 79.92 "Shahjahanpur" #India , 237713
47.72 40.27 "Shakhty" #Russia , 227549
31.23 121.47 "Shanghai" #China , 8205598
34.45 115.65 "Shangqiu" #China , 244581
28.47 117.97 "Shangrao" #China , 167570
45.22 127.97 "Shangzhi" #China , 534147
33.88 109.93 "Shangzhou" #China , 511326
23.37 116.67 "Shantou" #China , 884543
22.78 115.35 "Shanwei" #China , 344348
25.07 121.5 "Shanzhong" #China , 235667
24.8 113.58 "Shaoguan" #China , 315487
27.3 117.5 "Shaown" #China , 298694
30 120.57 "Shaoxing" #China , 1271268
27 111.2 "Shaoyang" #China , 522725
25.33 55.43 "Sharjah" #United Arab Emirates , 125149
30.32 112.23 "Shashi" #China , 360045
55.85 23.33 "Shauliai" #Lithuania , 147900
55.93 38.08 "Shchelkovo" #Russia , 107567
30.55 31.02 "Shebin-el-kom" #Egypt , 158000
53.38 -1.5 "Sheffield" #United Kingdom , 530104
31.7 74.13 "Sheikhu pura" #Pakistan , 1104209
41.8 123.45 "Shenyang" #China , 4655280
22.53 114.13 "Shenzhen" #China , 875176
44.3 86.03 "Shihezi" #China , 170631
37.42 127.12 "Shihung" #Korea, South , 107176
38.05 114.48 "Shijianzhuang" #China , 1372109
25.57 91.88 "Shillong" #India , 131719
35 138.5 "Shimizu" #Japan , 241575
42.3 69.6 "Shimkent" #Kazakstan , 404000
30.99 77.2 "Shimla" #India , 82054
13.93 75.52 "Shimoga" #India , 179258
33.98 130.97 "Shimonoseki" #Japan , 259581
29.63 52.57 "Shiraz" #Iran , 1042801
29.72 112.4 "Shishou" #China , 579415
25.43 77.68 "Shivapuri" #India , 108277
32.57 110.78 "Shiyan" #China , 400823
39.05 106.4 "Shizuishan" #China , 282945
34.98 138.4 "Shizuoka" #Japan , 473859
39.3 112.42 "Shouzhou" #China , 469903
32.5 -93.77 "Shreveport" #United States , 196982
45.35 126.28 "Shuangcheng" #China , 738722
46.67 131.35 "Shuangyashan" #China , 469959
30.1 31.25 "Shubra-el-khema" #Egypt , 834000
32.48 74.58 "Sialkote" #Pakistan , 102007
45.77 24.15 "Sibiu" #Romania , 170528
35.19 -0.65 "Sidi-bel-abbès" #Algeria , 112998
50.87 8.03 "Siegen" #Germany , 111541
27.53 113.5 "Sifen" #China , 987301
27.55 75.2 "Sikar" #India , 148272
10.75 122.98 "Silay" #Philippines , 140175
24.79 92.79 "Silchar" #India , 115483
26.7 88.5 "Siliguri" #India , 216950
44.95 34.08 "Simferopol" #Ukraine , 358100
43.17 -118.03 "Simi valley" #United States , 106949
9.28 -75.38 "Sincelejo" #Colombia , 203742
1.28 103.85 "Singapore" #Singapore , 2987000
43.57 -96.7 "Sioux city" #United States , 109174
43.17 124.33 "Siping" #China , 1395094
37.07 15.3 "Siracusa" #Italy , 402316
29.47 55.73 "Sirjan" #Iran , 120224
29.49 75.03 "Sirsa" #India , 112841
27.63 80.75 "Sitapur" #India , 121842
20.14 92.88 "Sittwe" #Myanmar , 107621
39.73 37.02 "Sivas" #Turkey , 243432
42.01 21.44 "Skopje" #Macedonia
48.87 37.62 "Slavyansk" #Ukraine , 138000
42.67 26.32 "Slivène" #Bulgaria , 106958
51.52 -0.6 "Slough" #United Kingdom , 104945
54.45 17.33 "Slupsk" #Poland , 102228
54.82 32.07 "Smolensk" #Russia , 350616
4.58 -74.22 "Soacha" #Colombia , 241927
-3.75 -40.33 "Sobral" #Brazil , 131518
43.58 39.77 "Sochi" #Russia , 329136
42.67 23.3 "Sofia" #Bulgaria , 1113674
26.55 31.7 "Sohag" #Egypt , 156000
35.83 139.82 "Soka" #Japan , 216022
17.72 75.93 "Solapur" #India , 604215
10.9 -74.8 "Soledad" #Colombia , 149019
52.83 27.53 "Solegorsk" #Belarus , 100500
52.42 -1.78 "Solihull" #United Kingdom , 202021
59.67 56.75 "Solikamsk" #Russia , 108272
51.17 7.08 "Solingen" #Germany , 165973
7.21 100.56 "Songkhla" #Thailand , 107000
29 77.02 "Sonipat" #India , 143922
-23.5 -47.53 "Sorocaba" #Brazil , 397553
50.27 19.12 "Sosnowiec" #Poland , 250771
51.88 -0.53 "South bedfordshire" #United Kingdom , 110389
41.67 -86.25 "South bend" #United States , 105092
22.65 88.43 "South dum dum" #India , 232811
53 -0.4 "South kesteven" #United Kingdom , 115229
54.33 -2.75 "South lakeland" #United Kingdom , 100263
52.57 1.12 "South norfolk" #United Kingdom , 104467
51.53 -0.93 "South oxfordshire" #United Kingdom , 121823
53.67 -2.63 "South ribble" #United Kingdom , 103592
50.95 -2.65 "South somerset" #United Kingdom , 148298
52.8 -2.12 "South staffordshire" #United Kingdom , 104379
55 -1.45 "South tyneside" #United Kingdom , 156665
50.92 -1.42 "Southampton" #United Kingdom , 211718
51.55 0.72 "Southend on sea" #United Kingdom , 169948
51.5 -0.1 "Southwark" #United Kingdom , 228767
-26.28 27.83 "Soweto" #South Africa , 596632
13.7 -89.15 "Soyapango" #El Salvador , 261122
43.52 16.47 "Split" #Croatia , 200459
47.67 -117.42 "Spokane" #United States , 192781
42.12 -72.58 "Springfield" #United States , 149164
37.18 -93.32 "Springfield" #United States , 149727
39.92 -83.8 "Springfield" #United States , 107199
39.82 -89.65 "Springfield" #United States , 105938
-26.27 28.43 "Springs" #South Africa , 72647
13.43 75.22 "Srinagar" #India , 586038
51.77 -0.35 "St. albans" #United Kingdom , 128739
45.4 -73.57 "St. catharines" #Canada , 129300
12.07 -61.73 "St. georges" #Grenada , 4788
53.47 -2.73 "St. helens" #United Kingdom , 180969
49.2 -2.12 "St. helier" #Channel Islands , 28123
38.62 -90.2 "St. louis" #United States , 368215
44.9 -93.08 "St. paul" #United States , 262071
59.92 30.42 "St. petersburg" #Russia , 4273001
27.8 -82.67 "St. petersburg" #United States , 238585
17.1 -61.85 "St.johns" #Antigua and Barbuda , 22342
52.8 -3 "Stafford" #United Kingdom , 122458
48.57 38.67 "Stakhanov" #Ukraine , 113700
42.42 25.62 "Stara zagora" #Bulgaria , 150926
51.33 37.83 "Starsy oskol" #Russia , 194548
58.97 5.68 "Stavanger" #Norway , 101403
45.05 41.98 "Stavropol" #Russia , 337706
44.03 -84.03 "Sterling heights" #United States , 119505
53.67 55.98 "Sterlitamak" #Russia , 257740
59.35 18.08 "Stockholm" #Sweden , 703627
53.42 -2.17 "Stockport" #United Kingdom , 291373
37.97 -121.28 "Stockton" #United States , 222633
54.58 -1.42 "Stockton-on-tees" #United Kingdom , 178161
53 -2.18 "Stoke on trent" #United Kingdom , 254197
48.58 7.75 "Strasbourg" #France , 252274
52.18 -1.7 "Stratford-upon-avon" #United Kingdom , 109462
51.75 -2.2 "Stroud" #United Kingdom , 106271
48.78 9.2 "Stuttgart" #Germany , 588482
46.07 19.68 "Subotica" #Serbia and Montenegro , 100219
47.63 26.25 "Suceava" #Romania , 117314
29.98 32.55 "Suez" #Egypt , 388000
52.15 1.58 "Suffolk coastal" #United Kingdom , 113163
46.63 126.98 "Suihua" #China , 769958
30.53 105.53 "Suinin" #China , 1259604
34.75 135.53 "Suita" #Japan , 338079
-6.92 106.83 "Sukabumi" #Indonesia , 125400
43.02 41.02 "Sukhumi" #Georgia , 122000
35.53 45.45 "Sulamaniya" #Iraq , 364096
-4.88 -80.68 "Sullana" #Peru , 150300
40.58 29.75 "Sultanbeyli" #Turkey , 169999
-22.83 -47.27 "Sumaré" #Brazil , 154214
40.58 49.63 "Sumgait" #Azerbaijan , 235000
50.92 34.82 "Sumy" #Ukraine , 307100
34.93 127.47 "Suncheon" #Korea, South , 167214
54.92 -1.38 "Sunderland" #United Kingdom , 297226
37.38 -122.03 "Sunnyvale" #United States , 119584
-26.68 153.05 "Sunshine coast" #Australia , 133600
-7.23 112.75 "Surabaya" #Indonesia , 2701300
-7.53 110.83 "Surakarta" #Indonesia , 516500
21.17 72.9 "Surat" #India , 1498817
61.22 73.33 "Surgut" #Russia , 263441
49.12 -122.77 "Surrey" #Canada , 245173
-23.52 -46.3 "Susano" #Brazil , 168655
51.37 -0.18 "Sutton" #United Kingdom , 173376
-18.13 178.42 "Suva" #Fiji , 69665
37.27 126.98 "Suwon" #Korea, South , 644805
31.3 120.62 "Suzhou" #China , 3273010
34.87 136.62 "Suzuka" #Japan , 179540
51.35 0.73 "Swale" #United Kingdom , 117195
51.63 -3.95 "Swansea" #United Kingdom , 188822
-33.92 151.17 "Sydney" #Australia , 3713500
61.7 50.75 "Syktivkar" #Russia , 227546
43.05 -76.15 "Syracuse" #United States , 159895
53.17 48.48 "Syzran" #Russia , 175694
47.2 18.42 "Székesfehérvár" #Hungary , 108868
53.42 14.53 "Szczecin" #Poland , 417115
46.25 20.15 "Szeged" #Hungary , 173860
35.57 -5.37 "Tétouan" #Morocco , 139000
-23.62 -46.78 "Taboao da serra" #Brazil , 170690
-5.02 32.8 "Tabora" #Tanzania , 214000
38.08 46.3 "Tabriz" #Iran , 1166203
35.7 139.47 "Tachikawa" #Japan , 156254
11.29 125.02 "Tacloban" #Philippines , 153068
-18 -70.25 "Tacna" #Peru , 152200
47.22 -122.5 "Tacoma" #United States , 183060
51.67 -3.5 "Taff-ely" #United Kingdom , 102715
47.23 38.92 "Taganrog" #Russia , 290261
14.53 121 "Taguig" #Philippines , 266637
36.2 117.12 "Taian" #China , 3824748
21.25 40.35 "Taif" #Saudi Arabia , 204857
23 120.2 "Tainan" #China , 474835
25.02 121.45 "Taipei" #Taiwan , 1769568
4.9 100.7 "Taiping" #Malaysia , 183165
37.87 112.55 "Taiyan" #China , 2224580
24.15 120.68 "Taizhong" #China , 448140
34.33 134.02 "Takamatsu" #Japan , 330707
36.67 137 "Takaoka" #Japan , 175202
34.8 135.35 "Takarazuka" #Japan , 206140
36.33 139 "Takasaki" #Japan , 238425
36 139.25 "Takatsuki" #Japan , 361494
-35.47 -71.67 "Talca" #Chile , 169448
-36.67 -73.12 "Talcahuano" #Chile , 260915
45 78.4 "Taldikorgan" #Kazakstan , 125000
30.43 -84.32 "Tallahassee" #United States , 133716
59.37 24.8 "Tallinn" #Estonia , 447672
35.65 139.45 "Tama" #Japan , 148438
52.73 41.47 "Tambov" #Russia , 313413
53.48 -2.1 "Tameside" #United Kingdom , 221793
28.01 -82.63 "Tampa" #United States , 285523
61.53 23.75 "Tampere" #Finland , 177700
22.3 -97.87 "Tampico" #Mexico , 433021
42.87 130.35 "Tanchun" #China , 183755
-5.09 39.1 "Tanga" #Tanzania , 172000
24.25 89.92 "Tangail" #Bangladesh , 545849
35.74 -5.83 "Tanger" #Morocco , 2943000
-6.18 106.62 "Tangerang" #Indonesia , 1198300
37.33 114.73 "Tangshan" #China , 1484515
2.98 99.77 "Tanjung balai" #Indonesia , 114700
-5.45 105.3 "Tanjung karang" #Indonesia , 284275
22.47 120.43 "Tansyuan" #China , 105841
30.8 31 "Tanta" #Egypt , 380000
45.33 122.78 "Taonan" #China , 511239
14.9 -92.27 "Tapachula" #Mexico , 138858
40.47 17.25 "Taranto" #Italy , 176148
15.48 120.58 "Tarlac" #Philippines , 208722
50.02 20.98 "Tarnów" #Poland , 121987
41.12 1.25 "Tarragona" #Spain , 110837
41.57 2 "Tarrasa" #Spain , 158063
36.92 34.88 "Tarsus" #Turkey , 229518
58.33 26.73 "Tartu" #Estonia , 107303
41.82 59.97 "Tashauz" #Turkmenistan , 114000
41.27 69.22 "Tashkent" #Uzbekistan , 2094000
-23 -45.6 "Taubaté" #Brazil , 213370
20.92 96.88 "Taunggyi" #Myanmar , 108231
41.72 44.8 "Tbilisi" #Georgia , 1268000
-17.87 -41.52 "Teófilo otoni" #Brazil , 142873
3.33 99.13 "Tebing tinggi" #Indonesia , 129300
-6.87 109.12 "Tegal" #Indonesia , 313400
14.08 -87.23 "Tegucigalpa" #Honduras , 597512
35.67 51.43 "Tehran" #Iran , 6750043
18.47 -97.4 "Tehuacan" #Mexico , 155563
50.55 -3.5 "Teignbridge" #United Kingdom , 114088
32.08 34.77 "Tel aviv-yafo" #Israel , 357100
-25.97 28.23 "Tembisa" #South Africa , 209238
50.08 72.92 "Temirtau" #Kazakstan , 213000
33.42 -111.92 "Tempe" #United States , 144289
-38.75 -72.67 "Temuco" #Chile , 239340
16.22 80.6 "Tenali" #India , 143726
51.88 -2 "Tendring" #United Kingdom , 130915
21.5 -104.85 "Tepic" #Mexico , 206967
-22.45 -42.98 "Teresópolis" #Brazil , 124447
-5.15 -42.77 "Teresina" #Brazil , 636904
42.57 12.65 "Terni" #Italy , 155042
49.58 25.65 "Ternopol" #Ukraine , 229400
51.12 -1.48 "Test valley" #United Kingdom , 105318
21.6 105.83 "Thai nguyen" #Vietnam , 127643
11.76 75.49 "Thalassery" #India , 103579
51.57 -1.78 "Thamesdown" #United Kingdom , 173516
19.2 72.98 "Thane" #India , 803389
51.37 1.25 "Thanet" #United Kingdom , 125301
19.82 105.8 "Thanhhoa" #Vietnam , 84951
10.77 79.15 "Thanjavur" #India , 202013
52.68 -2.53 "The wrekin" #United Kingdom , 143430
40.64 22.93 "Thessaloniki" #Greece
14.82 -16.87 "Thies" #Senegal , 216381
27.52 89.72 "Thimphu" #Bhutan , 8922
8.5 76.95 "Thiruvananthapuram" #India , 524006
62.03 -6.82 "Thorshavn" #Faeroe Islands , 14671
34.17 -118.08 "Thousand oaks" #United States , 110981
10.53 76.23 "Thrissur" #India , 74604
48.45 -89.2 "Thunder bay" #Canada , 113946
51.73 0.47 "Thurrock" #United Kingdom , 131368
39.13 117.2 "Tianjin" #China , 5804023
30.65 113.1 "Tianmen" #China , 1484085
34.6 105.92 "Tianshui" #China , 1039750
46.95 128.05 "Tieli" #China , 324831
42.3 123.82 "Tieling" #China , 1097616
32.5 -117.08 "Tijuana" #Mexico , 747381
51.57 5.08 "Tilburg" #Netherlands , 163876
45.75 21.25 "Timisoara" #Romania , 327830
-6 -42.82 "Timon" #Brazil , 113051
41.33 19.82 "Tirana" #Albania , 244153
46.83 29.63 "Tiraspol" #Moldova , 186200
46.52 24.63 "Tirgu-mures" #Romania , 166315
10.83 78.72 "Tiruchchirappalli" #India , 387223
8.75 77.72 "Tirunelveli" #India , 135825
13.65 79.42 "Tirupati" #India , 174369
11.08 77.33 "Tiruppur" #India , 235661
12.26 79.1 "Tiruvannamalai" #India , 109196
22.73 88.4 "Titagarh" #India , 114085
19.57 -99.2 "Tlalnepantla" #Mexico , 702270
20.65 -103.25 "Tlaquepaque" #Mexico , 328031
19.32 -98.23 "Tlaxcala" #Mexico , 185555
35.8 139.47 "Tokorozawa" #Japan , 318714
34.05 134.57 "Tokushima" #Japan , 265670
34.07 131.8 "Tokuyama" #Japan , 109671
35.67 139.75 "Tokyo" #Japan , 8129377
41.67 -83.58 "Toledo" #United States , 322550
10.38 123.64 "Toledo" #Philippines , 125978
19.33 -99.67 "Toluca" #Mexico , 487612
53.53 49.4 "Tolyatti" #Russia , 694550
42.65 141.55 "Tomakomai" #Japan , 168349
56.5 85.08 "Tomsk" #Russia , 467656
34.5 135.6 "Tondabayashi" #Japan , 119363
35.08 109.03 "Tongchuan" #China , 414031
41.68 125.75 "Tonghua" #China , 1199382
23.88 90.4 "Tongi" #Bangladesh , 126189
43.62 122.27 "Tongliao" #China , 673606
30.95 117.78 "Tongling" #China , 256458
27.68 109.13 "Tongren" #China , 284344
26.15 75.87 "Tonk" #India , 100079
39.05 -95.67 "Topeka" #United States , 120646
50.47 -3.5 "Torbay" #United Kingdom , 122990
45.07 7.67 "Torino" #Italy , 102473
43.7 -79.42 "Toronto" #Canada , 635395
33.83 -118.33 "Torrance" #United States , 138219
40.8 14.38 "Torre del greco" #Italy , 109228
25.57 -103.42 "Torreón" #Mexico , 675510
53.02 18.58 "Torun" #Poland , 202503
35.53 134.2 "Tottori" #Japan , 145672
43.12 5.92 "Toulon" #France , 167788
43.62 1.45 "Toulouse" #France , 358598
47.38 0.7 "Tours" #France , 129506
51.53 -0.03 "Tower hamlets" #United Kingdom , 170549
-19.25 146.74 "Townsville" #Australia , 121700
36.7 137.23 "Toyama" #Japan , 324638
34.77 137.37 "Toyohashi" #Japan , 351702
34.78 137.4 "Toyokawa" #Japan , 114405
34.8 135.58 "Toyonaka" #Japan , 399988
35.08 137.15 "Toyota" #Japan , 342968
40.98 39.72 "Trabzon" #Turkey , 145400
53.45 -2.32 "Trafford" #United Kingdom , 218110
45.67 12.25 "Treviso" #Italy , 675659
45.65 13.78 "Trieste" #Italy , 101701
34.42 35.87 "Tripoli" #Lebanon , 127611
63.6 10.38 "Trondheim" #Norway , 140656
-8.1 -79 "Trujillo" #Peru , 521200
34.68 136.5 "Tsu" #Japan , 163167
36.08 140.18 "Tsuchuiura" #Japan , 131813
36.2 140.1 "Tsukuba" #Japan , 153767
38.7 139.83 "Tsuruoka" #Japan , 100083
32.25 -110.95 "Tucson" #United States , 434726
54.18 37.63 "Tula" #Russia , 530333
36.12 -95.97 "Tulsa" #United States , 374851
4.08 -76.2 "Tulua" #Colombia , 3974813
42.97 129.82 "Tumen" #China , 122579
13.33 77.1 "Tumkur" #India , 138903
52.33 0.28 "Tunbridge wells" #United Kingdom , 102727
36.84 10.22 "Tunis" #Tunisia , 596654
60.45 22.25 "Turku" #Finland , 161380
10.22 -67.48 "Turmero" #Venezuela , 195711
42.93 89.17 "Turpan" #China , 200092
8.8 78.17 "Tuticorin" #India , 199854
16.75 -93.15 "Tuxtla gutiérrez" #Mexico , 295608
44.55 18.68 "Tuzla" #Bosnia and Herzegovina , 131866
56.87 35.92 "Tver" #Russia , 449505
50.13 18.93 "Tychy" #Poland , 136778
57.18 65.48 "Tyumen" #Russia , 491059
33.95 131.27 "Ube" #Japan , 175234
-19.78 -47.95 "Uberaba" #Brazil , 213968
-18.95 -48.28 "Uberlandia" #Brazil , 388483
15.25 104.83 "Ubon ratchathani" #Thailand , 137000
24.6 73.73 "Udaipur" #India , 308571
46.07 13.23 "Udine" #Italy , 105543
36.45 138.22 "Ueda" #Japan , 121776
54.75 55.97 "Ufa" #Russia , 1090644
63.55 53.73 "Uhta" #Russia , 110428
34.9 135.8 "Uji" #Japan , 183880
23.18 75.83 "Ujjain" #India , 362266
-5.15 119.47 "Ujung pandang" #Indonesia , 1091800
47.92 106.92 "Ulaanbaatar" #Mongolia , 515100
46.08 122.08 "Ulan hot" #China , 229136
51.92 107.67 "Ulan-ude" #Russia , 672240
19.25 73.13 "Ulhasnagar" #India , 369077
48.4 10 "Ulm" #Germany , 115123
35.53 129.35 "Ulsan" #Korea, South , 682411
54.32 48.37 "Ulyanovsk" #Russia , 364662
-29.97 30.88 "Umlazi" #South Africa , 299275
-23.75 -53.33 "Umuarama" #Brazil , 100249
26.54 80.4 "Unnao" #India , 107425
59.88 17.7 "Uppsala" #Sweden , 181191
51 51 "Uralsk" #Kazakstan , 220000
35.87 139.67 "Urawa" #Japan , 447281
35.65 139.9 "Urayasu" #Japan , 123376
37.13 38.75 "Urfa" #Turkey , 362598
41.58 60.68 "Urgentch" #Uzbekistan , 129000
19.43 -102.07 "Uruapan" #Mexico , 187623
-29.75 -57.08 "Uruguaiana" #Brazil , 121866
43.8 87.58 "Urumqi" #China , 1160775
38.68 29.42 "Usak" #Turkey , 121972
52.8 103.67 "Usolie sibirskoye" #Russia , 106118
43.8 131.98 "Ussuriisk" #Russia , 160998
49.97 82.6 "Ust-kamenogorsk" #Kazakstan , 334000
58.05 102.65 "Ust-ulimsk" #Russia , 111717
52.1 5.12 "Utrecht" #Netherlands , 234352
36.55 139.87 "Utsunomiya" #Japan , 434860
48.63 22.25 "Uzhgorod" #Ukraine , 126000
46.97 142.75 "Uzno-sakhalinsk" #Russia , 158141
50.68 14 "Ústí nad labem" #Czech Republic , 97303
-6.53 -42.08 "Várzea grande" #Brazil , 176446
59.6 16.58 "Västeras" #Sweden , 122998
11.61 75.59 "Vadakara" #India , 72434
22.32 73.23 "Vadodara" #India , 1031346
47.13 9.53 "Vaduz" #Liechtenstein , 4904
-39.77 -73.25 "Valdivia" #Chile , 119431
51.4 -3.3 "Vale of glamorgan" #United Kingdom , 114572
53.18 -2.52 "Vale royal" #United Kingdom , 114695
10.23 -67.98 "Valencia" #Venezuela , 1034033
39.48 -0.4 "Valencia" #Spain , 749361
14.73 120.95 "Valenzuela" #Philippines , 340227
9.32 -70.62 "Valera" #Venezuela , 107236
41.65 -4.75 "Valladolid" #Spain , 331885
10.52 -73.27 "Valledupar" #Colombia , 175687
38.15 -122.23 "Vallejo" #United States , 111484
35.9 14.5 "Valletta" #Malta , 9144
10.32 76.97 "Valparai" #India , 106523
-33.08 -71.67 "Valparaiso" #Chile , 282168
20.54 72.98 "Valsad" #India , 57909
38.5 43.33 "Van" #Turkey , 197679
49.24 -123 "Vancouver" #Canada , 471844
60.3 24.95 "Vantaa" #Finland , 162739
25.33 83 "Varanasi" #India , 929270
43.22 27.95 "Varna" #Bulgaria , 307200
41.9 12.45 "Vatican city" #Holy See , 766
44.5 -79.69 "Vaughan" #Canada , 111359
56.32 30.52 "Velikie luky" #Russia , 115681
12.93 79.15 "Vellore" #India , 175061
45.49 12.33 "Venezia" #Italy , 100233
19.18 -96.17 "Veracruz llave" #Mexico , 472657
-26.68 27.93 "Vereeniging" #South Africa , 71255
45.43 11 "Verona" #Italy , 167445
-33.03 -71.54 "Viña del mar" #Chile , 322220
-30.08 -51 "Viamao" #Brazil , 184692
-34.53 -58.47 "Vicente lopez" #Argentina , 289142
45.55 11.53 "Vicenza" #Italy , 272461
48.22 16.37 "Vienna" #Austria , 1560471
18.12 102.58 "Vientiane" #Laos , 132253
21.33 105.43 "Viettri" #Vietnam , 73347
42.22 -8.73 "Vigo" #Spain , 276109
16.57 80.67 "Vijayawada" #India , 701827
-17.75 168.3 "Vila" #Vanuatu , 18095
-20.38 -40.3 "Vila velha" #Brazil , 276149
18 -92.88 "Villahermosa" #Mexico , 261231
4.15 -73.63 "Villavicencio" #Colombia , 162056
45.77 4.9 "Villeurbanne" #France , 116851
54.67 25.32 "Vilnius" #Lithuania , 581500
18.7 105.68 "Vinh" #Vietnam , 112455
49.18 28.5 "Vinnitsa" #Ukraine , 387000
36.85 -75.98 "Virginia beach" #United States , 430295
17.75 83.33 "Visakhapatnam" #India , 752037
55.17 30.23 "Vitebsk" #Belarus , 362700
-20.32 -40.35 "Vitoria" #Brazil , 267448
42.85 -2.67 "Vitoria" #Spain , 208755
-14.88 -40.87 "Vitoria da conquista" #Brazil , 234344
-8.17 -35.23 "Vitoria de santo antao" #Brazil , 109166
18.12 83.5 "Vizianagarm" #India , 160359
43.05 44.67 "Vladikavkaz" #Russia , 309861
56.13 40.42 "Vladimir" #Russia , 335347
43.15 131.9 "Vladivostok" #Russia , 631543
47.58 42.13 "Volgodonsk" #Russia , 183748
48.75 44.5 "Volgograd" #Russia , 997392
59.17 39.92 "Vologda" #Russia , 294328
39.37 22.95 "Volos" #Greece , 383967
-22.52 -44.08 "Volta redonda" #Brazil , 226534
46.65 47.85 "Volzhsky" #Russia , 284647
67.45 64 "Vorkuta" #Russia , 106921
51.67 39.22 "Voronezh" #Russia , 901117
57 54 "Votkinsk" #Russia , 104397
10.35 107.07 "Vungtau" #Vietnam , 145145
49.8 9.95 "Würzburg" #Germany , 127946
31.55 -97.08 "Waco" #United States , 105892
-36.85 174.55 "Waitakere" #New Zealand , 141900
34.2 135.17 "Wakayama" #Japan , 395491
53.7 -1.48 "Wakefield" #United Kingdom , 317301
50.8 16.32 "Walbrzych" #Poland , 140476
52.6 -3.67 "Walsall" #United Kingdom , 263853
51.62 0 "Waltham forest" #United Kingdom , 221790
51.45 -0.18 "Wandsworth" #United Kingdom , 266721
30.82 108.4 "Wanxian" #China , 314392
18 79.58 "Warangal" #India , 447657
20.76 78.65 "Wardha" #India , 102985
42.52 -83.03 "Warren" #United States , 142625
53.4 -2.62 "Warrington" #United Kingdom , 186749
52.25 21 "Warsaw" #Poland , 1643203
52.28 -1.57 "Warwick" #United Kingdom , 119758
38.87 -77 "Washington" #United States , 567094
41.55 -73.05 "Waterbury" #United States , 103523
52.48 1.75 "Waveney" #United Kingdom , 107604
54.48 -0.62 "Waverley" #United Kingdom , 114758
51.05 0.15 "Wealden" #United Kingdom , 134936
36.72 119.1 "Weifang" #China , 3037535
37.5 122.1 "Weihai" #China , 1733287
34.5 109.5 "Weinan" #China , 766268
-41.28 174.78 "Wellington" #New Zealand , 150800
28.02 120.65 "Wenzhou" #China , 1650419
34.07 -117.93 "West covina" #United States , 103298
53.58 -2.9 "West lancashire" #United Kingdom , 110226
55.85 -3.52 "West lothian" #United Kingdom , 148190
51.33 -2.22 "West wiltshire" #United Kingdom , 110035
37.72 -97.33 "Wichita" #United States , 310236
50.08 8.25 "Wiesbaden" #Germany , 266081
53.55 -2.63 "Wigan" #United Kingdom , 310012
12.2 -69.02 "Willemstad" #Netherlands Antilles , 2345
51.17 -1.32 "Winchester" #United Kingdom , 101848
-22.57 17.1 "Windhoek" #Namibia , 147056
42.3 -83.02 "Windsor" #Canada , 191435
49.88 -97.17 "Winnipeg" #Canada , 616790
36.08 -80.3 "Winston-salem" #United States , 155128
47.5 8.75 "Winterthur" #Switzerland , 87287
53.25 -3.03 "Wirral" #United Kingdom , 333117
51.42 7.32 "Witten" #Germany , 105423
52.65 19.02 "Wloclawek" #Poland , 122578
51.42 -0.83 "Wokingham" #United Kingdom , 141735
52.45 10.82 "Wolfsburg" #Germany , 126965
52.58 -3.33 "Wolverhampton" #United Kingdom , 245059
51.35 -2.98 "Woodspring" #United Kingdom , 182709
42.27 -71.8 "Worcester" #United States , 165387
53.05 -3 "Wrexham maelor" #United Kingdom , 117415
51.08 17 "Wroclaw" #Poland , 641386
38 106.17 "Wuchuang" #China , 243141
30.58 114.27 "Wuhan" #China , 3832536
31.35 118.37 "Wuhu" #China , 552932
51.25 7.17 "Wuppertal" #Germany , 383776
37.97 102.8 "Wuwei" #China , 863999
31.58 120.3 "Wuxi" #China , 3181985
29.85 115.55 "Wuxue" #China , 648605
24.53 117.2 "Wuyishan" #China , 206620
23.48 111.32 "Wuzhou" #China , 298915
52.12 -2.08 "Wychavon" #United Kingdom , 104577
51.63 -0.77 "Wycombe" #United Kingdom , 162588
52.38 -2.23 "Wyre" #United Kingdom , 103927
35.45 133.33 "Yonago" #Japan , 133496
26.23 111.62 "Yongzhou" #China , 945648
40.95 -73.85 "Yonkers" #United States , 183490
53.97 -1.08 "York" #United Kingdom , 104102
43.7 -79.45 "York" #Canada , 140525
34.73 127.68 "Yosu" #Korea, South , 173169
28.83 112.38 "Yuanjiang" #China , 644301
37.68 112.73 "Yuci" #China , 467127
29.38 113.1 "Yueyang" #China , 1077721
22.63 110.15 "Yulin" #China , 1323410
38.3 109.75 "Yulin" #China , 369335
39.83 97.73 "Yumen" #China , 158610
35.02 110.98 "Yuncheng" #China , 492291
24.38 102.57 "Yuxi" #China , 321271
47.38 8.55 "Zürich" #Switzerland , 342804
52.45 4.82 "Zaanstad" #Netherlands , 133006
50.3 18.78 "Zabrze" #Poland , 203999
22.77 -102.58 "Zacatecas" #Mexico , 154989
30.58 31.5 "Zagazig" #Egypt , 287000
45.8 15.97 "Zagreb" #Croatia , 867717
29.5 60.83 "Zahedan" #Iran , 419886
48 122.72 "Zalantun" #China , 402418
35.5 139.38 "Zama" #Japan , 118147
6.92 122.08 "Zamboanga" #Philippines , 464466
19.98 -102.28 "Zamora de hidalgo" #Mexico , 145597
36.67 48.5 "Zanjan" #Iran , 280691
-6.17 39.21 "Zanzibar" #Tanzania , 133000
34.88 117.57 "Zaozhuang" #China , 3191974
20.72 -103.4 "Zapopan" #Mexico , 668323
47.83 35.17 "Zaporozhye" #Ukraine , 899500
41.65 -0.9 "Zaragoza" #Spain , 598078
11.02 7.73 "Zaria" #Nigeria , 224000
32.07 36.1 "Zarqa" #Jordan , 359000
55.85 48.55 "Zelenodolsk" #Russia , 101850
54.95 20.47 "Zelenograd" #Russia , 187376
44.22 17.92 "Zenica" #Bosnia and Herzegovina , 145837
40.83 114.93 "Zhangjiakou" #China , 719672
28.08 115.52 "Zhangshu" #China , 489178
38.93 100.45 "Zhangye" #China , 430513
24.52 117.67 "Zhangzhou" #China , 341637
21.2 110.38 "Zhanjiang" #China , 1048720
23.05 112.45 "Zhaoqing" #China , 348857
27.32 103.72 "Zhaotang" #China , 619521
62.58 50.92 "Zheleznodorozhny" #Russia , 100549
34.75 113.67 "Zhengzhou" #China , 1752374
32.22 119.43 "Zhenjiang" #China , 1280027
50.3 28.67 "Zhitomir" #Ukraine , 302300
33.63 114.63 "Zhoukou" #China , 245718
28.33 120.97 "Zhoushan" #China , 672267
22.28 113.57 "Zhuhai" #China , 331065
55.58 38.13 "Zhukovsky" #Russia , 99898
32.97 114.05 "Zhumadian" #China , 249162
27.83 113.15 "Zhuzhou" #China , 1521879
36.8 118.05 "Zibo" #China , 2484206
30.3 111.5 "Zicheng" #China , 384703
51.95 15.5 "Zielona góra" #Poland , 115364
29.4 104.78 "Zigong" #China , 977147
12.56 -16.28 "Zinqunichor" #Senegal , 161680
25.97 113.4 "Zixing" #China , 360813
55.17 59.63 "Zlatoust" #Russia , 203079