Zipf in graphs, Asia
City proper Urban agglom
Afghanistan
16.0
14.0
12.0
10.0
8.0
6.0 y = -1.7163x + 13.954
R² = 0.9192
4.0
2.0
0.0
0.0 0.5 1.0 1.5
Bangladesh
16.0
14.0
12.0
10.0
8.0
6.0
4.0
2.0
0.0
0.0
China
20.0
18.0
16.0
14.0
12.0
10.0
8.0
6.0
y = -0.8266x + 17.398
4.0 R² = 0.8901
2.0
0.0
0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0
India
18.0 18.0
16.0 16.0
14.0 14.0
12.0 12.0
10.0 10.0
8.0 8.0
6.0 6.0
y = -0.8789x + 16.364
4.0 R² = 0.987 4.0
2.0 2.0
0.0 0.0
0.0 1.0 2.0 3.0 4.0 5.0 6.0 0.0
Indonesia
18.0
16.0
14.0
12.0
10.0
8.0
6.0 y = -1.0997x + 16.033
R² = 0.9784
4.0
2.0
0.0
0.0 1.0 2.0 3.0 4.0 5.0
Iran
18.0
16.0
14.0
12.0
10.0
8.0
6.0
y = -0.9667x + 15.386
4.0
R² = 0.985
2.0
0.0
0.0 1.0 2.0 3.0 4.0 5.0
Iraq
16.0
14.0
12.0
10.0
8.0
6.0 y = -0.824x + 14.459
R² = 0.8849
4.0
2.0
0.0
0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5
Israel
13.4
13.2
13.0
12.8
12.6
12.4
12.2
12.0
y = -0.6222x + 13.128
11.8
R² = 0.9397
11.6
11.4
0.0 0.5 1.0 1.5 2.0 2.5 3.0
Japan
18.0
16.0
14.0
12.0
10.0
8.0
6.0
y = -0.7499x + 15.636
4.0 R² = 0.9864
2.0
0.0
0.0 1.0 2.0 3.0 4.0 5.0 6.0
Kazakstan
16.0 16.0
14.0 14.0
12.0 12.0
10.0 10.0
8.0 8.0
6.0 6.0
y = -0.6962x + 13.926
4.0 R² = 0.9491 4.0
2.0 2.0
2.0 2.0
0.0 0.0
0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 0.0
Republic of Korea
18.0
16.0
14.0
12.0
10.0
8.0
6.0
y = -1.2389x + 16.113
4.0 R² = 0.9913
2.0
0.0
0.0 1.0 2.0 3.0 4.0
Kyrgyzstan
Not enough datapoints
Malaysia
16.0 14.5
14.0
14.0
12.0
13.5
10.0
8.0 13.0
6.0
y = -0.7952x + 13.717 12.5
4.0 R² = 0.8351
y=
12.0
2.0
0.0 11.5
0.0 0.5 1.0 1.5 2.0 2.5 3.0 0.0
Myanmar
16.0
14.0
12.0
10.0
8.0
6.0
y = -1.5159x + 14.357
4.0 R² = 0.93
2.0
0.0
0.0 0.5 1.0 1.5 2.0 2.5
Nepal
Not enough datapoints
Pakistan
18.0
16.0
14.0
12.0
10.0
8.0
6.0
4.0
2.0
0.0
0.0
Philippines
16.0
14.0
12.0
10.0
8.0
6.0 y = -0.7211x + 14.58
R² = 0.9786
4.0
2.0
0.0
0.0 1.0 2.0 3.0 4.0 5.0
Singapore
Not enough datapoints
Sri Lanka
13.5
13.0
12.5
12.0
y = -0.9111x + 13.097
11.5
R² = 0.9187
11.0
0.0 0.5 1.0 1.5 2.0 2.5
Tajikistan
Not enough datapoints
Thailand
18.0
16.0
14.0
12.0
10.0
8.0
6.0 y=
4.0
2.0
0.0
0.0
Turkey
18.0 18.0
16.0 16.0
14.0 14.0
12.0 12.0
10.0 10.0
8.0 8.0
6.0 y = -1.0278x + 15.46 6.0
R² = 0.9871
4.0 4.0
2.0 2.0
0.0 0.0
0.0 1.0 2.0 3.0 4.0 5.0 0.0
Turkmenistan
Not enough datapoints
Uzbekistan
16.0
14.0
12.0
10.0
8.0
8.0
6.0
y = -0.9019x + 13.925
4.0 R² = 0.8972
2.0
0.0
0.0 0.5 1.0 1.5 2.0 2.5 3.0
Vietnam
16.0 16.0
14.0 14.0
12.0 12.0
10.0 10.0
8.0 8.0
6.0 6.0
y = -1.0323x + 14.418
4.0 R² = 0.9603 4.0
2.0 2.0
0.0 0.0
0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 0.0
f in graphs, Asia
Urban agglomeration
Index
Index
y = -1.1726x + 14.637
R² = 0.947
0 0.5 1.0 1.5 2.0 2.5 3.0 3.5
Index
Index
y = -1.0482x + 16.938
R² = 0.9916
0 1.0 2.0 3.0 4.0 5.0 6.0
Index
Index
Index
Index
Index
Index
y = -0.6973x + 13.914
R² = 0.9631
0 0.5 1.0 1.5 2.0 2.5 3.0 3.5
Index
Index
Index
y = -0.7202x + 13.793
R² = 0.9576
0 0.5 1.0 1.5 2.0 2.5 3.0
Index
Index
Index
y = -1.2958x + 15.592
R² = 0.9788
0 0.5 1.0 1.5 2.0 2.5 3.0 3.5
Index
Index
Index
Index
Index
y = -1.2894x + 14.438
R² = 0.7552
0 0.5 1.0 1.5 2.0 2.5 3.0
Index
y = -0.9023x + 15.635
R² = 0.9839
0 1.0 2.0 3.0 4.0
Index
Index
Index
y = -1.1451x + 15.023
R² = 0.9149
0 0.5 1.0 1.5 2.0 2.5 3.0 3.5
Zipf in numbers, Asia
City proper
Pop. Ln
Country City Rank Ln size
(x1000) rank
Afghanistan, 1988
Herat 177 3 1.1 12.1
KABUL 1424 1 0.0 14.2
Kandahar (Quandahar) 226 2 0.7 12.3
Mazar-i-Sharif 131 4 1.4 11.8
Bangladesh, 1991
DHAKA ...
Chittagong ...
Khulna ...
Rajshahi ...
Narayanganj ...
Rangpur ...
Mymensingh ...
Barisal ...
Jessore ...
Tongi ...
Comilla ...
Dinajpur ...
Nawabganj ...
Pabna ...
Tangail ...
Saidpur ...
Jamalpur ...
Naogaon ...
China, 1990
Shanghai 8206 1 0.0 15.9
BEIJING (PEKING) 7362 2 0.7 15.8
Hong Kong SAR 6190 3 1.1 15.6
Tianjin 5804 4 1.4 15.6
Qingdo 5125 5 1.6 15.4
Shenyang 4655 6 1.8 15.4
Guangzhou 3918 7 1.9 15.2
Wuhan 3833 8 2.1 15.2
Tai'an 3825 9 2.2 15.2
Harbin 3597 10 2.3 15.1
Chengdu 3484 11 2.4 15.1
Dalian 3474 12 2.5 15.1
Ningbo 3351 13 2.6 15.0
Suzhou 3273 14 2.6 15.0
Yantai 3205 15 2.7 15.0
Zaozhuang 3192 16 2.8 15.0
Wuxi 3182 17 2.8 15.0
Chongqing 3123 18 2.9 15.0
Weifang 3038 19 2.9 14.9
Xiangfan 2986 20 3.0 14.9
Changchun 2981 21 3.0 14.9
Xi'an 2873 22 3.1 14.9
Yangzhou 2769 23 3.1 14.8
Huaiyin 2614 24 3.2 14.8
Nanjiang 2611 25 3.2 14.8
Hangzhou 2590 26 3.3 14.8
Zibo 2484 27 3.3 14.7
Anshan 2479 28 3.3 14.7
Jinan 2404 29 3.4 14.7
Jilin 2252 30 3.4 14.6
Taiyan 2225 31 3.4 14.6
Jinhua 2216 32 3.5 14.6
Liupanshui 1844 33 3.5 14.4
Pingdingshan 1828 34 3.5 14.4
Xuzhou (Jiangsu Sheng) 1827 35 3.6 14.4
Hengyang 1815 36 3.6 14.4
Xinxiang 1770 37 3.6 14.4
Taipei 1770 38 3.6 14.4
Handan 1769 39 3.7 14.4
Zhengzhou 1752 40 3.7 14.4
Dongwan 1737 41 3.7 14.4
Weihai 1733 42 3.7 14.4
Mianyang 1701 43 3.8 14.3
Guiyang 1665 44 3.8 14.3
Wenzhou 1650 45 3.8 14.3
Lanzhou 1618 46 3.8 14.3
Kunming 1612 47 3.9 14.3
Nantong 1602 48 3.9 14.3
Linyi 1590 49 3.9 14.3
Jiaozuo 1578 50 3.9 14.3
Xiangtan 1531 51 3.9 14.2
Zhuzhou 1522 52 4.0 14.2
Tangshan 1485 53 4.0 14.2
Tianmen 1484 54 4.0 14.2
Jining(Shandong Sheng) 1466 55 4.0 14.2
Dongshan 1413 56 4.0 14.2
Changde 1410 57 4.0 14.2
Qiqihar 1401 58 4.1 14.2
Fuzhou (Fujian Sheng) 1396 59 4.1 14.1
Siping 1395 60 4.1 14.1
Dengzhou 1391 61 4.1 14.1
Pinxiang 1388 62 4.1 14.1
Fushun 1388 63 4.1 14.1
Guikong 1377 64 4.2 14.1
Shijianzhuang 1372 65 4.2 14.1
Xuchang 1369 66 4.2 14.1
Xiantao 1361 67 4.2 14.1
Jiaxing 1359 68 4.2 14.1
Jinxi 1350 69 4.2 14.1
Changsha 1329 70 4.2 14.1
Yulin (Hunan) 1323 71 4.3 14.1
Chaozhou 1294 72 4.3 14.1
Neijiang 1289 73 4.3 14.1
Deyang 1287 74 4.3 14.1
Zhenjiang 1280 75 4.3 14.1
Datong 1277 76 4.3 14.1
Shaoxing 1271 77 4.3 14.1
Nanchang 1262 78 4.4 14.0
Suinin 1260 79 4.4 14.0
Xiaocan 1255 80 4.4 14.0
Botou 1229 81 4.4 14.0
Huainan 1228 82 4.4 14.0
Luoyang 1202 83 4.4 14.0
Tonghua 1199 84 4.4 14.0
Haozhou 1198 85 4.4 14.0
Urumqi 1161 86 4.5 14.0
Nanning 1159 87 4.5 14.0
Heze 1155 88 4.5 14.0
Hefei 1100 89 4.5 13.9
Tieling 1098 90 4.5 13.9
Langfang 1078 91 4.5 13.9
Yueyang 1078 92 4.5 13.9
Macheng 1057 93 4.5 13.9
Zhanjiang 1049 94 4.5 13.9
Tianshui 1040 95 4.6 13.9
Rizhao 1028 96 4.6 13.8
Huzhou 1028 97 4.6 13.8
Dingzhou 1025 98 4.6 13.8
Fengcheng 1019 99 4.6 13.8
Jingmen 1017 100 4.6 13.8
Lianyuan 1007 101 4.6 13.8
Fulin 1005 102 4.6 13.8
Daqing 997 103 4.6 13.8
Qinzhou 992 104 4.6 13.8
Chaoyang 990 105 4.7 13.8
Sifen 987 106 4.7 13.8
Linhai 981 107 4.7 13.8
Zigong 977 108 4.7 13.8
Qingyuan 963 109 4.7 13.8
Yongzhou 946 110 4.7 13.8
Fuyu 945 111 4.7 13.8
Hohhoit 938 112 4.7 13.8
Benxi 938 113 4.7 13.8
Ezhou 892 114 4.7 13.7
Huangyan 889 115 4.7 13.7
Shantou 885 116 4.8 13.7
Yichun (Heilongjiang Sheng) 882 117 4.8 13.7
Shenzhen 875 118 4.8 13.7
Linchuan 873 119 4.8 13.7
Yangjiang 869 120 4.8 13.7
Wuwei 864 121 4.8 13.7
Guangyuan 860 122 4.8 13.7
Ankang 859 123 4.8 13.7
Liaocheng 838 124 4.8 13.6
Yichun (Jiangxi Sheng) 836 125 4.8 13.6
Jixi 835 126 4.8 13.6
Gaoxiong 828 127 4.8 13.6
Qujing 824 128 4.9 13.6
Guangshui 817 129 4.9 13.6
Beidong 797 130 4.9 13.6
Jiujiang 791 131 4.9 13.6
Suihua 770 132 4.9 13.6
Xuanzhou 769 133 4.9 13.6
Weinan 766 134 4.9 13.5
Lichuan 764 135 4.9 13.5
Chaohu 760 136 4.9 13.5
Quanzhou 753 137 4.9 13.5
Liuzhou 751 138 4.9 13.5
Mudangiang 751 139 4.9 13.5
Jiamusi 745 140 4.9 13.5
Honghu 744 141 4.9 13.5
Fuxin 743 142 5.0 13.5
Shuangcheng 739 143 5.0 13.5
Xianyang 737 144 5.0 13.5
Jinzhou 736 145 5.0 13.5
Hailun 734 146 5.0 13.5
Changzhou 730 147 5.0 13.5
Quzhou 727 148 5.0 13.5
Boshan 723 149 5.0 13.5
Hunjiang 722 150 5.0 13.5
Zhangjiakou 720 151 5.0 13.5
Enshi 713 152 5.0 13.5
Xining 698 153 5.0 13.5
Bengbu 695 154 5.0 13.5
Kaifeng 693 155 5.0 13.4
Gaocheng 685 156 5.0 13.4
Yibin 685 157 5.1 13.4
Jinchang 677 158 5.1 13.4
Tongliao 674 159 5.1 13.4
Linqing 673 160 5.1 13.4
Zhoushan 672 161 5.1 13.4
Qianjiang 668 162 5.1 13.4
Dandong 661 163 5.1 13.4
Anshun 658 164 5.1 13.4
Wuxue 649 165 5.1 13.4
Hegang 647 166 5.1 13.4
Dongying 644 167 5.1 13.4
Yuanjiang 644 168 5.1 13.4
Jieshou 642 169 5.1 13.4
Liaoyang 640 170 5.1 13.4
Xiamen 639 171 5.1 13.4
Panzhihua 632 172 5.1 13.4
Zhaotang 620 173 5.2 13.3
Anyang 617 174 5.2 13.3
Xinyu 608 175 5.2 13.3
Donglin 608 176 5.2 13.3
Baoding 595 177 5.2 13.3
Xinyi 593 178 5.2 13.3
Sanming 586 179 5.2 13.3
Yingcheng 584 180 5.2 13.3
Linfen 583 181 5.2 13.3
Xinji 582 182 5.2 13.3
Shishou 579 183 5.2 13.3
Yangquan 575 184 5.2 13.3
Yingkow 572 185 5.2 13.3
Guichi 571 186 5.2 13.3
Zhenchu 569 187 5.2 13.3
Buizhou 563 188 5.2 13.2
Anlu 558 189 5.2 13.2
Guilin 557 190 5.2 13.2
Wuhu 553 191 5.3 13.2
Changzhi 552 192 5.3 13.2
Huangshi 546 193 5.3 13.2
Heyuan 545 194 5.3 13.2
Lianyungang 537 195 5.3 13.2
Huaibei 536 196 5.3 13.2
Shangzhi 534 197 5.3 13.2
Maoming 533 198 5.3 13.2
Fuan 526 199 5.3 13.2
Shaoyang 523 200 5.3 13.2
Qinhuangdo 519 201 5.3 13.2
Shangzhou 511 202 5.3 13.1
Taonan 511 203 5.3 13.1
Yinchuan 502 204 5.3 13.1
Boutou 495 205 5.3 13.1
Yuncheng 492 206 5.3 13.1
Yichang 492 207 5.3 13.1
Zhangshu 489 208 5.3 13.1
Baihua 488 209 5.3 13.1
Zuozhou 487 210 5.3 13.1
Xichang 481 211 5.4 13.1
Dunhua 477 212 5.4 13.1
Tainan 475 213 5.4 13.1
Shuangyashan 470 214 5.4 13.1
Shouzhou 470 215 5.4 13.1
Yuci 467 216 5.4 13.1
Nanping 467 217 5.4 13.1
Anqing 464 218 5.4 13.0
Danjiangkou 460 219 5.4 13.0
Xiannin 455 220 5.4 13.0
Anda 453 221 5.4 13.0
Baoji 452 222 5.4 13.0
Taizhong 448 223 5.4 13.0
Dangyang 446 224 5.4 13.0
Qitaihe 445 225 5.4 13.0
Ma'anshan 445 226 5.4 13.0
Hanzhong 442 227 5.4 13.0
Xinzhu 434 228 5.4 13.0
Longyan 434 229 5.4 13.0
Dali 432 230 5.4 13.0
Zhangye 431 231 5.4 13.0
Foshan 429 232 5.4 13.0
Nangong 429 233 5.5 13.0
Panjin 428 234 5.5 13.0
Linhe 426 235 5.5 13.0
Yiyang 418 236 5.5 12.9
Duyan 417 237 5.5 12.9
Chuzhou 417 238 5.5 12.9
Puqi 417 239 5.5 12.9
Yakumshi 416 240 5.5 12.9
Tongchuan 414 241 5.5 12.9
Luzhou 412 242 5.5 12.9
Liaoyuan 411 243 5.5 12.9
Chuxiong 411 244 5.5 12.9
Haikou 410 245 5.5 12.9
Dayuan 408 246 5.5 12.9
Da'an 404 247 5.5 12.9
Lengshuitan 404 248 5.5 12.9
Zalantun 402 249 5.5 12.9
Shiyan 401 250 5.5 12.9
Xiangtan(Hebei Sheng) 396 251 5.5 12.9
Jiaojing 395 252 5.5 12.9
Shahe 394 253 5.5 12.9
Zunyi 392 254 5.5 12.9
Ganzhou 391 255 5.5 12.9
Pingliang 386 256 5.5 12.9
Zicheng 385 257 5.5 12.9
Gejiu 385 258 5.6 12.9
Baiyin 383 259 5.6 12.9
Kaili 382 260 5.6 12.9
Hebi 377 261 5.6 12.8
Huangshan 377 262 5.6 12.8
Nanyang 375 263 5.6 12.8
Jingdezhen 370 264 5.6 12.8
Yulin (Shanxi) 369 265 5.6 12.8
Mishan 367 266 5.6 12.8
Chengde 366 267 5.6 12.8
Ninde 361 268 5.6 12.8
Zixing 361 269 5.6 12.8
Shashi 360 270 5.6 12.8
Hunanghua 353 271 5.6 12.8
Fujin 352 272 5.6 12.8
Zhaoqing 349 273 5.6 12.8
Hancheng 346 274 5.6 12.8
Shanwei 344 275 5.6 12.7
Beian 344 276 5.6 12.7
Zhangzhou 342 277 5.6 12.7
Hua 339 278 5.6 12.7
Baicheng 335 279 5.6 12.7
Zhuhai 331 280 5.6 12.7
Hengshui 330 281 5.6 12.7
Tieli 325 282 5.6 12.7
Jilon 324 283 5.6 12.7
Lishui 324 284 5.6 12.7
Dezhou 321 285 5.7 12.7
Yuxi 321 286 5.7 12.7
Yan'an 317 287 5.7 12.7
Lengshuijiang 316 288 5.7 12.7
Shaoguan 315 289 5.7 12.7
Cangzhou 315 290 5.7 12.7
Wanxian 314 291 5.7 12.7
Putian 311 292 5.7 12.6
Uthan 310 293 5.7 12.6
Sanmenxia 310 294 5.7 12.6
Sanya 307 295 5.7 12.6
Puyang 302 296 5.7 12.6
Loudi 300 297 5.7 12.6
Wuzhou 299 298 5.7 12.6
Shaown 299 299 5.7 12.6
Ya'an 298 300 5.7 12.6
Baise 297 301 5.7 12.6
Daxian 295 302 5.7 12.6
Jiuquan 294 303 5.7 12.6
Yanji 293 304 5.7 12.6
Hechi 290 305 5.7 12.6
Ji'an 289 306 5.7 12.6
Jiangmen 285 307 5.7 12.6
Tongren 284 308 5.7 12.6
Shizuishan 283 309 5.7 12.6
Longzing 280 310 5.7 12.5
Dong chuan 279 311 5.7 12.5
Nanchong 279 312 5.7 12.5
Huizhou 275 313 5.7 12.5
Xinyang 273 314 5.7 12.5
Xifeng 270 315 5.8 12.5
Xuzhou 258 316 5.8 12.5
Yining 257 317 5.8 12.5
Tongling 256 318 5.8 12.5
Zhumadian 249 319 5.8 12.4
Kaiyuan 248 320 5.8 12.4
Houzhou 248 321 5.8 12.4
Zhoukou 246 322 5.8 12.4
Shangqiu 245 323 5.8 12.4
Aksu 243 324 5.8 12.4
Wuchuang 243 325 5.8 12.4
Jiayi 239 326 5.8 12.4
Shanzhong 236 327 5.8 12.4
Chenzhou 234 328 5.8 12.4
Fuyang 232 329 5.8 12.4
Meizhou 232 330 5.8 12.4
Jisou 231 331 5.8 12.3
Beihai 230 332 5.8 12.3
Ulan Hot 229 333 5.8 12.3
Qingtongxia 215 334 5.8 12.3
Kashi 215 335 5.8 12.3
Hami 212 336 5.8 12.3
Xinzhu 208 337 5.8 12.2
Wuyishan 207 338 5.8 12.2
Changji 207 339 5.8 12.2
Korla 203 340 5.8 12.2
Turpan 200 341 5.8 12.2
Hailer 200 342 5.8 12.2
Jining(Shanxi Sheng) 193 343 5.8 12.2
Lu'an 191 344 5.8 12.2
Luohe 188 345 5.8 12.1
Tanchun 184 346 5.8 12.1
Homa 178 347 5.8 12.1
Karamay 174 348 5.9 12.1
Shihezi 171 349 5.9 12.0
Linxia 169 350 5.9 12.0
Shangrao 168 351 5.9 12.0
Pingdong 165 352 5.9 12.0
Artux 164 353 5.9 12.0
Yumen 159 354 5.9 12.0
Jincheng 157 355 5.9 12.0
Dongsen 147 356 5.9 11.9
Lhasa 140 357 5.9 11.8
Hetian 138 358 5.9 11.8
Manzhouli 138 359 5.9 11.8
Chenghwa 137 360 5.9 11.8
Yintan 135 361 5.9 11.8
Chongli 130 362 5.9 11.8
Altay 129 363 5.9 11.8
Heihe 123 364 5.9 11.7
Tumen 123 365 5.9 11.7
Bodong 116 366 5.9 11.7
Bangiao 115 367 5.9 11.6
Dunhuang 113 368 5.9 11.6
Jiayuguan 110 369 5.9 11.6
Tansyuan 106 370 5.9 11.6
Fengshan 102 371 5.9 11.5
India, 1991
Bombay 9926 1 0.0 16.1
Delhi 7207 2 0.7 15.8
Calcutta 4400 3 1.1 15.3
Madras 3841 4 1.4 15.2
Hyderabad 2965 5 1.6 14.9
Ahmedabad 2877 6 1.8 14.9
Bangalore 2660 7 1.9 14.8
Kanpur 1874 8 2.1 14.4
Nagpur 1625 9 2.2 14.3
Lucknow 1619 10 2.3 14.3
Pune 1567 11 2.4 14.3
Surat 1499 12 2.5 14.2
Bhopal 1063 13 2.6 13.9
Ludhiana 1043 14 2.6 13.9
Vadodara 1031 15 2.7 13.8
Haora 950 16 2.8 13.8
Madurai 941 17 2.8 13.8
Varanasi 929 18 2.9 13.7
Patna 917 19 2.9 13.7
Agra 892 20 3.0 13.7
Coimbatore 816 21 3.0 13.6
Thane 803 22 3.1 13.6
Allahabad 793 23 3.1 13.6
Meerut 754 24 3.2 13.5
Visakhapatnam 752 25 3.2 13.5
Amritsar 709 26 3.3 13.5
Vijayawada 702 27 3.3 13.5
Gwalior 691 28 3.3 13.4
Nashik 657 29 3.4 13.4
Hubli-Dharwad 648 30 3.4 13.4
Faridabad 618 31 3.4 13.3
Solapur 604 32 3.5 13.3
Ranchi 599 33 3.5 13.3
Bareilly 587 34 3.5 13.3
Srinagar 586 35 3.6 13.3
Guwahati 584 36 3.6 13.3
Aurangabad 573 37 3.6 13.3
Kochi 565 38 3.6 13.2
Rajkot 559 39 3.7 13.2
Kota 537 40 3.7 13.2
Thiruvananthapuram 524 41 3.7 13.2
Gorakhpur 506 42 3.7 13.1
Chandigarh 504 43 3.8 13.1
Mysore 481 44 3.8 13.1
Aligarh 481 45 3.8 13.1
Guntur 471 46 3.8 13.1
Ghaziabad 454 47 3.9 13.0
Warangal 448 48 3.9 13.0
Raipur 439 49 3.9 13.0
Moradabad 429 50 3.9 13.0
Durgapur 426 51 3.9 13.0
Amravati 422 52 4.0 13.0
Kozhikode 420 53 4.0 12.9
Bikaner 416 54 4.0 12.9
Bhubaneswar 412 55 4.0 12.9
Kolhapur 406 56 4.0 12.9
Cuttack 403 57 4.0 12.9
Ajmer 403 58 4.1 12.9
Bhavnagar 402 59 4.1 12.9
Tiruchchirappalli 387 60 4.1 12.9
Bhilai Nagar 386 61 4.1 12.9
Bhiwandi 379 62 4.1 12.8
Saharanpur 375 63 4.1 12.8
Ulhasnagar 369 64 4.2 12.8
Salem 367 65 4.2 12.8
Ujjain 362 66 4.2 12.8
Malegaon 343 67 4.2 12.7
Bokaro Steel City 334 68 4.2 12.7
Akola 328 69 4.2 12.7
Belgaum 326 70 4.2 12.7
Rajahmundry 325 71 4.3 12.7
Nellore 317 72 4.3 12.7
Udaipur 309 73 4.3 12.6
Bhatpara 305 74 4.3 12.6
Gulbarga 304 75 4.3 12.6
NEW DELHI 301 76 4.3 12.6
Gaya 292 77 4.3 12.6
Dhule 278 78 4.4 12.5
Panihati 276 79 4.4 12.5
Nanded 275 80 4.4 12.5
Mangalore 273 81 4.4 12.5
Dehradun 270 82 4.4 12.5
Davangere 266 83 4.4 12.5
Asansol 262 84 4.4 12.5
Bhagalpur 253 85 4.4 12.4
Bellary 245 86 4.5 12.4
Barddhaman 245 87 4.5 12.4
Rampur 244 88 4.5 12.4
Muzaffarpur 241 89 4.5 12.4
Nizamabad 241 90 4.5 12.4
Muzaffarnagar 241 91 4.5 12.4
Patiala 238 92 4.5 12.4
Shahjahanpur 238 93 4.5 12.4
Kurnool 237 94 4.5 12.4
Tiruppur 236 95 4.6 12.4
South Dum Dum 233 96 4.6 12.4
Mathura 227 97 4.6 12.3
Chandrapur 226 98 4.6 12.3
Baranagar 225 99 4.6 12.3
Darbhanga 218 100 4.6 12.3
Siliguri 217 101 4.6 12.3
Rohtak 216 102 4.6 12.3
Firozabad 215 103 4.6 12.3
Ichalakaranji 215 104 4.6 12.3
Ramagundam 214 105 4.7 12.3
Eluru 213 106 4.7 12.3
Brahmapur 210 107 4.7 12.3
Alwar 205 108 4.7 12.2
Pondicherry 203 109 4.7 12.2
Thanjavur 202 110 4.7 12.2
Bihar Sharif 201 111 4.7 12.2
Tuticorin 200 112 4.7 12.2
Latur 197 113 4.7 12.2
Sagar 195 114 4.7 12.2
Farrukhabad Cum Fategarh 195 115 4.7 12.2
Sangli 193 116 4.8 12.2
Panipat 191 117 4.8 12.2
Parbhani 190 118 4.8 12.2
Nagercoil 190 119 4.8 12.2
Bijapur 187 120 4.8 12.1
Bally 184 121 4.8 12.1
Bhilwara 184 122 4.8 12.1
Ratlam 183 123 4.8 12.1
Dindigul 182 124 4.8 12.1
Ahmednagar 181 125 4.8 12.1
Bilaspur 180 126 4.8 12.1
Shimoga 179 127 4.8 12.1
Kharagpur 178 128 4.9 12.1
Vellore 175 129 4.9 12.1
Anantapur 175 130 4.9 12.1
Allappuzha 175 131 4.9 12.1
Tirupati 174 132 4.9 12.1
Karnal 174 133 4.9 12.1
Burhanpur 173 134 4.9 12.1
Hisar 173 135 4.9 12.1
Mirzapur-cum-Vindhyachal 169 136 4.9 12.0
Nadiad 167 137 4.9 12.0
Dewas 164 138 4.9 12.0
Murwara (Katni) 163 139 4.9 12.0
Ganganagar 161 140 4.9 12.0
Vizianagarm 160 141 4.9 12.0
Erode 159 142 5.0 12.0
Machilipatnam 159 143 5.0 12.0
Bathinda 159 144 5.0 12.0
Raichur 158 145 5.0 12.0
Agartala 157 146 5.0 12.0
Arrah 157 147 5.0 12.0
Satna 157 148 5.0 12.0
Aizawl 155 149 5.0 12.0
Katihar 154 150 5.0 11.9
Hugli-Chinsura 152 151 5.0 11.9
Dhanbad 152 152 5.0 11.9
Raiganj 151 153 5.0 11.9
Sambhal 151 154 5.0 11.9
Durg 151 155 5.0 11.9
Munger 150 156 5.0 11.9
Karimnagar 149 157 5.1 11.9
Bharatpur 149 158 5.1 11.9
Sikar 148 159 5.1 11.9
Hardwar 147 160 5.1 11.9
Dabgram 147 161 5.1 11.9
Morena 147 162 5.1 11.9
Noida 147 163 5.1 11.9
Hapur 146 164 5.1 11.9
Bhusawal 145 165 5.1 11.9
Khandwa 145 166 5.1 11.9
Cuddalore 145 167 5.1 11.9
Yamunanagar 144 168 5.1 11.9
Sonipat 144 169 5.1 11.9
Tenali 144 170 5.1 11.9
Raurkela 140 171 5.1 11.9
Kollam 140 172 5.1 11.8
Kumbakonam 139 173 5.2 11.8
English Bazar 139 174 5.2 11.8
Tumkur 139 175 5.2 11.8
Amroha 137 176 5.2 11.8
Serampore 137 177 5.2 11.8
Chapra 137 178 5.2 11.8
Pali 137 179 5.2 11.8
Maunath Bhanjan 137 180 5.2 11.8
Adoni 136 181 5.2 11.8
Tirunelveli 136 182 5.2 11.8
Bahraich 135 183 5.2 11.8
Gadag-Betgeri 134 184 5.2 11.8
Proddatur 134 185 5.2 11.8
Chittoor 133 186 5.2 11.8
Barrackpur 133 187 5.2 11.8
Bharuch 133 188 5.2 11.8
Naihati 133 189 5.2 11.8
Shillong 132 190 5.2 11.8
Sambalpur 131 191 5.3 11.8
Rae Bareli 130 192 5.3 11.8
Rewa 129 193 5.3 11.8
Khammam 128 194 5.3 11.8
Bulandshahr 127 195 5.3 11.8
Navsari 126 196 5.3 11.7
Medinipur 125 197 5.3 11.7
Rajnandgaon 125 198 5.3 11.7
Puri 125 199 5.3 11.7
Nabadwip 125 200 5.3 11.7
Korba 125 201 5.3 11.7
Faizabad 124 202 5.3 11.7
Etawah 124 203 5.3 11.7
Pathankot 124 204 5.3 11.7
Gandhinagar 123 205 5.3 11.7
Palakkad 123 206 5.3 11.7
Hoshiarpur 123 207 5.3 11.7
Sitapur 122 208 5.3 11.7
Bhiwani 122 209 5.3 11.7
Gurgaon 121 210 5.3 11.7
Cuddapah 121 211 5.4 11.7
Bhimavaram 121 212 5.4 11.7
Krishnanagar 121 213 5.4 11.7
Chandan Nagar 120 214 5.4 11.7
Mandya 120 215 5.4 11.7
Dibrugarh 120 216 5.4 11.7
Nandyal 120 217 5.4 11.7
Balurghat 120 218 5.4 11.7
Ambala 119 219 5.4 11.7
Neyveli 118 220 5.4 11.7
Fatehpur 118 221 5.4 11.7
Mahbubnagar 117 222 5.4 11.7
Budaun 117 223 5.4 11.7
Porbandar 117 224 5.4 11.7
Silchar 115 225 5.4 11.7
Baharampur 115 226 5.4 11.7
Purnia 115 227 5.4 11.7
Bankura 115 228 5.4 11.7
Rajapalaiyam 114 229 5.4 11.6
Titagarh 114 230 5.4 11.6
Hathras 113 231 5.4 11.6
Sirsa 113 232 5.4 11.6
Bid 112 233 5.5 11.6
Anand 110 234 5.5 11.6
Santipur 110 235 5.5 11.6
Bhind 110 236 5.5 11.6
Gondiya 109 237 5.5 11.6
Tiruvannamalai 109 238 5.5 11.6
Yavatmal 109 239 5.5 11.6
Moga 108 240 5.5 11.6
Shivapuri 108 241 5.5 11.6
Bidar 108 242 5.5 11.6
Guntakal 108 243 5.5 11.6
Unnao 107 244 5.5 11.6
Abohar 107 245 5.5 11.6
Pilibhit 107 246 5.5 11.6
Valparai 107 247 5.5 11.6
Beawar 105 248 5.5 11.6
Hindupur 105 249 5.5 11.6
Gandhidham 105 250 5.5 11.6
Haldwani-cum-Kathgodam 104 251 5.5 11.6
Thalassery 104 252 5.5 11.5
Wardha 103 253 5.5 11.5
Bhuj 102 254 5.5 11.5
Modinagar 102 255 5.5 11.5
Gudivada 102 256 5.5 11.5
Basirhat 101 257 5.5 11.5
Ongole 101 258 5.6 11.5
Guna 100 259 5.6 11.5
Haldia 100 260 5.6 11.5
Habra 100 261 5.6 11.5
Tonk 100 262 5.6 11.5
Godhra 97 263 5.6 11.5
Hospet 96 264 5.6 11.5
Damoh 96 265 5.6 11.5
Hassan 91 266 5.6 11.4
Morvi 90 267 5.6 11.4
Batala 86 268 5.6 11.4
Baleshwar 85 269 5.6 11.4
Shimla 82 270 5.6 11.3
Chiral 81 271 5.6 11.3
Kothagudem 80 272 5.6 11.3
Thrissur 75 273 5.6 11.2
Vadakara 72 274 5.6 11.2
Kannur 65 275 5.6 11.1
Kottayam 63 276 5.6 11.1
Raniganj 62 277 5.6 11.0
Valsad 58 278 5.6 11.0
Kanhangad 57 279 5.6 11.0
Malappuram 50 280 5.6 10.8
Cherthala 43 281 5.6 10.7
Ondal ...
Patan ...
Patratu ...
Phusro ...
Pollachi ...
Ranaghat ...
Sivakasi ...
Udupi ...
Wadhwan ...
Alipurduar ...
Arcot ...
Bhadravati ...
Chitradurga ...
Guruvayur ...
Karaikkudi ...
Karur ...
Kolar Gold Fields ...
Mahesana ...
Indonesia, 1995
JAKARTA 9161 1 0.0 16.0
Surabaya 2701 2 0.7 14.8
Bandung 2368 3 1.1 14.7
Medan 1910 4 1.4 14.5
Semarang 1367 5 1.6 14.1
Palembang 1352 6 1.8 14.1
Tangerang 1198 7 1.9 14.0
Ujung Pandang 1092 8 2.1 13.9
Bandar Lampung 832 9 2.2 13.6
Malang 763 10 2.3 13.5
Padang 722 11 2.4 13.5
Pakan Baru 558 12 2.5 13.2
Samarinda 536 13 2.6 13.2
Bandjarmasin 535 14 2.6 13.2
Surakarta 517 15 2.7 13.2
Pontianak 449 16 2.8 13.0
Denpasar 435 17 2.8 13.0
Yogyakarta 420 18 2.9 12.9
Balikpapan 416 19 2.9 12.9
Jambi 410 20 3.0 12.9
Manado 399 21 3.0 12.9
Pakalongan 341 22 3.1 12.7
Tegal 313 23 3.1 12.7
Ambon 313 24 3.2 12.7
Mataram 307 25 3.2 12.6
Banda Aceh 291 26 3.3 12.6
Bogor 285 27 3.3 12.6
Tanjung Karang 284 28 3.3 12.6
Cirebon 262 29 3.4 12.5
Bengkulu 262 30 3.4 12.5
Kediri 261 31 3.4 12.5
Pematang Siantar 231 32 3.5 12.3
Binjai 207 33 3.5 12.2
Probolinggo 190 34 3.5 12.2
Jayapura 180 35 3.6 12.1
Mojokerto 171 36 3.6 12.0
Batam 168 37 3.6 12.0
Pasuruan 163 38 3.6 12.0
Palangkaraya 149 39 3.7 11.9
Gorontalo 133 40 3.7 11.8
Tebing Tinggi 129 41 3.7 11.8
Sukabumi 125 42 3.7 11.7
Pangkal Pinang 124 43 3.8 11.7
Magelang 123 44 3.8 11.7
Blitar 123 45 3.8 11.7
Tanjung Balai 115 46 3.8 11.7
Pare Pare 110 47 3.9 11.6
Bitung 107 48 3.9 11.6
Madiun 107 49 3.9 11.6
Salatiga 103 50 3.9 11.5
Iran (Islamic Republic of), 1994
TEHRAN 6750 1 0.0 15.7
Mashhad 1964 2 0.7 14.5
Esfahan 1221 3 1.1 14.0
Tabriz 1166 4 1.4 14.0
Shiraz 1043 5 1.6 13.9
Ahwaz 828 6 1.8 13.6
Qom 780 7 1.9 13.6
Kermanshah 666 8 2.1 13.4
Karaj 588 9 2.2 13.3
Zahedan 420 10 2.3 12.9
Mehrshahr 413 11 2.4 12.9
Hamadan 406 12 2.5 12.9
Orumiyeh 396 13 2.6 12.9
Bandar-e-Abbas 384 14 2.6 12.9
Arak 379 15 2.7 12.8
Rasht 374 16 2.8 12.8
Kerman 350 17 2.8 12.8
Ardabil 330 18 2.9 12.7
Yazd 306 19 2.9 12.6
Qazvin 299 20 3.0 12.6
Zanjan 281 21 3.0 12.5
Khoramabad 277 22 3.1 12.5
Sanandaj 271 23 3.1 12.5
Islam Shahr (Qasemabad) 240 24 3.2 12.4
Borujerd 212 25 3.2 12.3
Dezful 202 26 3.3 12.2
Rajai shahr 193 27 3.3 12.2
Sari 186 28 3.3 12.1
Najafabad 182 29 3.4 12.1
Gorgan 178 30 3.4 12.1
Kashan 166 31 3.4 12.0
Sabzewar 161 32 3.5 12.0
Amol 155 33 3.5 11.9
Neyshabur 155 34 3.5 11.9
Khvoy 153 35 3.6 11.9
Babol 153 36 3.6 11.9
Malayer 150 37 3.6 11.9
Bushehr 141 38 3.6 11.9
Ilam 137 39 3.7 11.8
Qaem shahr 133 40 3.7 11.8
Maragheh 129 41 3.7 11.8
Khomeini Shahr 127 42 3.7 11.8
Bojnurd 126 43 3.8 11.7
Sirjan 120 44 3.8 11.7
Birjand 115 45 3.8 11.7
Masjed Soleyman 109 46 3.8 11.6
Iraq, 1987
BAGHDAD 3841 1 0.0 15.2
Mosul 664 2 0.7 13.4
Kadhimain 521 3 1.1 13.2
Erbil 486 4 1.4 13.1
Adhamiyah 464 5 1.6 13.0
Kirkuk 419 6 1.8 12.9
Basra 406 7 1.9 12.9
Sulamaniya 364 8 2.1 12.8
Najaf 309 9 2.2 12.6
Kerbala 297 10 2.3 12.6
Hilla 269 11 2.4 12.5
Nasariya 266 12 2.5 12.5
Mamoon 245 13 2.6 12.4
Karradah Sharqiyah 236 14 2.6 12.4
Amara 209 15 2.7 12.2
Diwaniya 197 16 2.8 12.2
Ramadi 193 17 2.8 12.2
Kut 183 18 2.9 12.1
Israel, 1994
Jerusalem 573 1 0.0 13.3
Tel Aviv-Yafo 356 2 0.7 12.8
Haifa 247 3 1.1 12.4
Holon 163 4 1.4 12.0
Rishon Leziyyon 157 5 1.6 12.0
Petah Tiqwa 152 6 1.8 11.9
Be'er Sheva 145 7 1.9 11.9
Netanya 144 8 2.1 11.9
Bat Yam 143 9 2.2 11.9
Bene Beraq 126 10 2.3 11.7
Ramat Gan 123 11 2.4 11.7
Ashdod 115 12 2.5 11.7
Japan, 1994
TOKYO 8022 1 0.0 15.9
Yokohama 3301 2 0.7 15.0
Osaka 2575 3 1.1 14.8
Nagoya 2153 4 1.4 14.6
Sapporo 1745 5 1.6 14.4
Kobe 1519 6 1.8 14.2
Kyoto 1448 7 1.9 14.2
Fukuoka 1275 8 2.1 14.1
Kawasaki 1202 9 2.2 14.0
Hiroshima 1106 10 2.3 13.9
Kitakyushu 1019 11 2.4 13.8
Sendai 959 12 2.5 13.8
Chiba 854 13 2.6 13.7
Sakai 804 14 2.6 13.6
Kumamoto 643 15 2.7 13.4
Okayama 608 16 2.8 13.3
Sagamihara 567 17 2.8 13.2
Hamamatsu 562 18 2.9 13.2
Kagoshima 543 19 2.9 13.2
Funabashi 540 20 3.0 13.2
Higashiosaka 514 21 3.0 13.1
Hachioji 495 22 3.1 13.1
Amagasaki 493 23 3.1 13.1
Niigata 492 24 3.2 13.1
Shizuoka 474 25 3.2 13.1
Himeji 466 26 3.3 13.1
Matsudo 464 27 3.3 13.0
Matsuyama 457 28 3.3 13.0
Kawaguchi 452 29 3.4 13.0
Kanazawa 448 30 3.4 13.0
Urawa 447 31 3.4 13.0
Ichikawa 444 32 3.5 13.0
Nagasaki 439 33 3.5 13.0
Yokosuka 435 34 3.5 13.0
Utsunomiya 435 35 3.6 13.0
Omiya 428 36 3.6 13.0
Oita 424 37 3.6 13.0
Nishinomiya 424 38 3.6 13.0
Kurashiki 420 39 3.7 12.9
Gifu 409 40 3.7 12.9
Toyonaka 400 41 3.7 12.9
Hirakata 397 42 3.7 12.9
Wakayama 395 43 3.8 12.9
Fukuyama 374 44 3.8 12.8
Fujisawa 365 45 3.8 12.8
Asahikawa 363 46 3.8 12.8
Takatsuki 361 47 3.9 12.8
Machida 360 48 3.9 12.8
Iwaki 360 49 3.9 12.8
Nara 358 50 3.9 12.8
Nagano 355 51 3.9 12.8
Toyohashi 352 52 4.0 12.8
Toyota 343 53 4.0 12.7
Suita 338 54 4.0 12.7
Takamatsu 331 55 4.0 12.7
Toyama 325 56 4.0 12.7
Koriyama 324 57 4.0 12.7
Okazaki 322 58 4.1 12.7
Kawagoe 321 59 4.1 12.7
Kochi 320 60 4.1 12.7
Kashiwa 319 61 4.1 12.7
Tokorozawa 319 62 4.1 12.7
Akita 310 63 4.1 12.6
Hakodate 302 64 4.2 12.6
Naha 300 65 4.2 12.6
Koshigaya 297 66 4.2 12.6
Miyazaki 296 67 4.2 12.6
Aomori 290 68 4.2 12.6
Maebashi 287 69 4.2 12.6
Morioka 285 70 4.2 12.6
Fukushima 284 71 4.3 12.6
Yokkaichi 284 72 4.3 12.6
Akashi 283 73 4.3 12.6
Yao 276 74 4.3 12.5
Kasugai 276 75 4.3 12.5
Ichihara 275 76 4.3 12.5
Otsu 273 77 4.3 12.5
Ichinomiya 267 78 4.4 12.5
Tokushima 266 79 4.4 12.5
Shimonoseki 260 80 4.4 12.5
Neyagawa 258 81 4.4 12.5
Ibaraki 256 82 4.4 12.5
Fukui 255 83 4.4 12.4
Hiratsuka 253 84 4.4 12.4
Yamagata 253 85 4.4 12.4
Kakogawa 252 86 4.5 12.4
Mito 247 87 4.5 12.4
Sasebo 245 88 4.5 12.4
Hachinohe 242 89 4.5 12.4
Shimizu 242 90 4.5 12.4
Takasaki 238 91 4.5 12.4
Kurume 234 92 4.5 12.4
Fuji 229 93 4.5 12.3
Soka 216 94 4.5 12.3
Fuchu 216 95 4.6 12.3
Numazu 213 96 4.6 12.3
Chigasaki 212 97 4.6 12.3
Kure 211 98 4.6 12.3
Atsugi 207 99 4.6 12.2
Ageo 206 100 4.6 12.2
Takarazuka 206 101 4.6 12.2
Matsumoto 205 102 4.6 12.2
Yamato 204 103 4.6 12.2
Kushiro 201 104 4.6 12.2
Hitachi 201 105 4.7 12.2
Kasukabe 199 106 4.7 12.2
Kofu 199 107 4.7 12.2
Odawara 199 108 4.7 12.2
Chofu 198 109 4.7 12.2
Kishiwada 192 110 4.7 12.2
Nagaoka 190 111 4.7 12.2
Itami 189 112 4.7 12.2
Uji 184 113 4.7 12.1
Suzuka 180 114 4.7 12.1
Hirosaki 176 115 4.7 12.1
Ube 175 116 4.8 12.1
Takaoka 175 117 4.8 12.1
Kamakura 172 118 4.8 12.1
Obihiro 171 119 4.8 12.0
Kodaira 171 120 4.8 12.0
Saga 170 121 4.8 12.0
Tomakomai 168 122 4.8 12.0
Hino 167 123 4.8 12.0
Ashikaga 167 124 4.8 12.0
Mitaka 165 125 4.8 12.0
Hadano 163 126 4.8 12.0
Tsu 163 127 4.8 12.0
Sayama 163 128 4.9 12.0
Otaru 160 129 4.9 12.0
Sakura 160 130 4.9 12.0
Kumagaya 157 131 4.9 12.0
Tachikawa 156 132 4.9 12.0
Yachiyo 155 133 4.9 12.0
Moriguchi 155 134 4.9 12.0
Narashino 154 135 4.9 11.9
Tsukuba 154 136 4.9 11.9
Izumi (Osaka) 152 137 4.9 11.9
Ogaki 150 138 4.9 11.9
Anjo 149 139 4.9 11.9
Oyama 148 140 4.9 11.9
Tama 148 140 4.9 11.9
Nagareyama 147 142 5.0 11.9
Omuta 146 143 5.0 11.9
Matsue 146 144 5.0 11.9
Tottori 146 145 5.0 11.9
Ota 144 146 5.0 11.9
Kawanishi 143 147 5.0 11.9
Niiza 143 148 5.0 11.9
Iruma 143 149 5.0 11.9
Kadoma 141 150 5.0 11.9
Higashimurayama 137 151 5.0 11.8
Ome 136 152 5.0 11.8
Komaki 136 153 5.0 11.8
Musashino 136 154 5.0 11.8
Yamaguchi 134 155 5.0 11.8
Misato 134 156 5.0 11.8
Matsubara 134 157 5.1 11.8
Yonago 133 158 5.1 11.8
Kakamigahara 132 159 5.1 11.8
Joetsu 132 160 5.1 11.8
Tsuchuiura 132 161 5.1 11.8
Miyakonojo 131 162 5.1 11.8
Beppu 129 163 5.1 11.8
Seto 129 164 5.1 11.8
Niihama 128 165 5.1 11.8
Nobeoka 128 166 5.1 11.8
Daito 127 167 5.1 11.8
Kariya 126 168 5.1 11.7
Kisarazu 126 169 5.1 11.7
Minoo 125 170 5.1 11.7
Fujieda 125 171 5.1 11.7
Abiko 124 172 5.1 11.7
Urayasu 123 173 5.2 11.7
Kiryu 122 174 5.2 11.7
Ueda 122 175 5.2 11.7
Ishinomaki 121 176 5.2 11.7
Matsusaka 121 177 5.2 11.7
Kashihara 121 178 5.2 11.7
Fujinomiya 120 179 5.2 11.7
Imabari 120 180 5.2 11.7
Aizuwakamatsu 120 181 5.2 11.7
Isesaki 120 182 5.2 11.7
Tondabayashi 119 183 5.2 11.7
Hofu 119 184 5.2 11.7
Noda 119 185 5.2 11.7
Zama 118 186 5.2 11.7
Habikino 118 187 5.2 11.7
Kawachinagano 116 188 5.2 11.7
Yaizu 116 189 5.2 11.7
Katsuta 115 190 5.2 11.6
Toyokawa 114 191 5.3 11.6
Muroran 113 192 5.3 11.6
Higashikurume 113 193 5.3 11.6
Ebina 113 194 5.3 11.6
Okinawa 112 195 5.3 11.6
Ebetsu 111 196 5.3 11.6
Tokuyama 110 197 5.3 11.6
Iwatsuki 110 198 5.3 11.6
Kitami 109 199 5.3 11.6
Iwakuni 109 200 5.3 11.6
Asaka 108 201 5.3 11.6
Akishima 108 202 5.3 11.6
Higashihiroshima 108 203 5.3 11.6
Koganei 108 204 5.3 11.6
Mishima 108 205 5.3 11.6
Yatsushiro 107 206 5.3 11.6
Lida 107 207 5.3 11.6
Komatsu 107 208 5.3 11.6
Handa 106 209 5.3 11.6
Kokubanji 105 210 5.3 11.6
Ikoma 105 211 5.4 11.6
Ikeda 103 212 5.4 11.5
Ise 103 213 5.4 11.5
Hikone 103 214 5.4 11.5
Kuwana 102 215 5.4 11.5
Sakata 101 216 5.4 11.5
Tsuruoka 100 217 5.4 11.5
Kazakstan, 1993
ALMATY 1176 1 0.0 14.0
Karaganda 596 2 0.7 13.3
Shimkent 404 3 1.1 12.9
Chimkent 401 4 1.4 12.9
Pavlograd 349 5 1.6 12.8
Semipalatinsk 342 6 1.8 12.7
Ust-Kamenogorsk 334 7 1.9 12.7
Dzhambul (Zhambul) 317 8 2.1 12.7
Akmola 287 9 2.2 12.6
Aktjubinsk 264 10 2.3 12.5
Petropavlovsk 248 11 2.4 12.4
Uralsk 220 12 2.5 12.3
Temirtau 213 13 2.6 12.3
Aktau 174 14 2.6 12.1
Kzyl-Orda 164 15 2.7 12.0
Atirau 151 16 2.8 11.9
Koktchetav 144 17 2.8 11.9
Ekibastuz 141 18 2.9 11.9
Rudni 130 19 2.9 11.8
Taldikorgan 125 20 3.0 11.7
Dzhezkazgan (Zhezkazgan) 108 21 3.0 11.6
Korea (Republic of), 1990
SEOUL 10776 1 0.0 16.2
Busan 3802 2 0.7 15.2
Daegu 2256 3 1.1 14.6
Inchon (Incheon) 2203 4 1.4 14.6
Kwangchu (Gwangju) 1236 5 1.6 14.0
Daejean 1183 6 1.8 14.0
Ulsan 682 7 1.9 13.4
Bucheon 668 8 2.1 13.4
Suwon (Puwan) 645 9 2.2 13.4
Seongnam 541 10 2.3 13.2
Chonchu (Jeonju) 517 11 2.4 13.2
Masan 494 12 2.5 13.1
Anyang 481 13 2.6 13.1
Cheongju 478 14 2.6 13.1
Kwang myong 329 15 2.7 12.7
Changweon 323 16 2.8 12.7
Pohang 318 17 2.8 12.7
Chinju 256 18 2.9 12.5
Ansan 252 19 2.9 12.4
Mogpo 243 20 3.0 12.4
Cheju 233 21 3.0 12.4
Gunsan 218 22 3.1 12.3
Eujeongbu 212 23 3.1 12.3
Cheonan 211 24 3.2 12.3
Gumi 206 25 3.2 12.2
Iri 203 26 3.3 12.2
Chuncheon 174 27 3.3 12.1
Yosu 173 28 3.3 12.1
Suncheon 167 29 3.4 12.0
Gangreung 153 30 3.4 11.9
Gyeongju 142 31 3.4 11.9
Chungju 128 32 3.5 11.8
Chinhae 120 33 3.5 11.7
Andong 117 34 3.5 11.7
Kuri 109 35 3.6 11.6
Shihung 107 36 3.6 11.6
Kimhae 106 37 3.6 11.6
Hanam 101 38 3.6 11.5
Kunpo 100 39 3.7 11.5
Kyrgyzstan, 1995
BISHKEK 584 1 0.0 13.3
Osh 218 2 0.7 12.3
Malaysia, 1991
KUALA LUMPUR 1145 1 0.0 14.0
Ipoh 383 2 0.7 12.9
Johore Bharu 329 3 1.1 12.7
Petaling Jaya 255 4 1.4 12.4
Kelang 244 5 1.6 12.4
Kuala Terengganu 229 6 1.8 12.3
Kota Bahru 220 7 1.9 12.3
George Town 219 8 2.1 12.3
Kuantan 199 9 2.2 12.2
Taiping 183 10 2.3 12.1
Seremban 183 11 2.4 12.1
Kota Kinabalu 109 12 2.5 11.6
Kuching 64 13 2.6 11.1
Myanmar, 1983
YANGON 2513 1 0.0 14.7
Mandalay 533 2 0.7 13.2
Moulmein 220 3 1.1 12.3
Pegu 151 4 1.4 11.9
Bassein 144 5 1.6 11.9
Taunggyi 108 6 1.8 11.6
Sittwe 108 7 1.9 11.6
Monywa 107 8 2.1 11.6
Nepal, 1981
KATHMANDU
Pakistan, 1981
Karachi ...
Lahore ...
Faisalabad(Lyallpur) ...
Rawalpindi ...
Hyderabad ...
Multan ...
Gujranwala ...
Peshawar ...
Sialkote ...
Sargodha ...
Quetta ...
ISLAMABAD ...
Jhang ...
Bahawalpur ...
Kasur ...
Gujrat ...
Okara ...
Mardan ...
Sheikhu Pura ...
Rahimyar Khan ...
Chiniot ...
Nawabshah ...
Dera Ghazi Khan ...
Philippines, 1990/1994
MANILA 1728 1 0.0 14.4
Quezon City 1677 2 0.7 14.3
Davao 961 3 1.1 13.8
Cebu 688 4 1.4 13.4
Caloocan 643 5 1.6 13.4
Zamboanga 464 6 1.8 13.0
Makati 453 7 1.9 13.0
Zamboanga 442 8 2.1 13.0
Cagayan de Oro 414 9 2.2 12.9
Pasig 398 10 2.3 12.9
Pasay 388 11 2.4 12.9
Las Pinas 380 12 2.5 12.8
Bacolod 343 13 2.6 12.7
Valenzuela 340 14 2.6 12.7
Marikina 310 15 2.7 12.6
Paranaque 308 16 2.8 12.6
Iloilo 302 17 2.8 12.6
Malabon 280 18 2.9 12.5
General Santos 279 19 2.9 12.5
Angeles 277 20 3.0 12.5
Valenzuela 276 21 3.0 12.5
Muntinlupa 275 22 3.1 12.5
Taguig 267 23 3.1 12.5
Mandaluyong 248 24 3.2 12.4
Butuan 245 25 3.2 12.4
Basilan 238 26 3.3 12.4
Mandaue 213 27 3.3 12.3
Iligan 210 28 3.3 12.3
Tarlac 209 29 3.4 12.2
Olongapo 209 30 3.4 12.2
Batangas 191 31 3.4 12.2
Navotas 187 32 3.5 12.1
Cabanatuan 186 33 3.5 12.1
Baguio 170 34 3.5 12.0
San Pablo 163 35 3.6 12.0
Lucena City 161 36 3.6 12.0
Lipa 160 37 3.6 12.0
Tacloban 153 38 3.6 11.9
Cadiz 143 39 3.7 11.9
Ormoc 142 40 3.7 11.9
Lapu-Lapu 141 41 3.7 11.9
Silay 140 42 3.7 11.9
Bago 140 43 3.8 11.8
Tacloban 137 44 3.8 11.8
Taguig 131 45 3.8 11.8
Calbayog 130 46 3.8 11.8
San Juan 127 47 3.9 11.8
Toledo 126 48 3.9 11.7
Legaspi 125 49 3.9 11.7
San Carlos (Pangasinan) 123 50 3.9 11.7
Toledo 120 51 3.9 11.7
Dagupan 117 52 4.0 11.7
Pagadian 114 53 4.0 11.6
Cotabato 113 54 4.0 11.6
Roxas 112 55 4.0 11.6
Gingoog 111 56 4.0 11.6
San Carlos (Negros Occ.) 106 57 4.0 11.6
Cavite 103 58 4.1 11.5
Naga 103 59 4.1 11.5
Silay 101 60 4.1 11.5
Singapore, 1995
SINGAPORE 2987
Sri Lanka, 1990
COLOMBO 615 1 0.0 13.3
Dehiwala-Mount Lavinia 196 2 0.7 12.2
Moratuwa 170 3 1.1 12.0
Jaffna 129 4 1.4 11.8
Galle 109 5 1.6 11.6
Kotte 109 5 1.6 11.6
Kandy 104 7 1.9 11.6
Tajikistan, 1990/1993
DUSHANBE …
Kodzhent 163
Thailand, 1990
BANGKOK …
Nakhon Ratchasima ...
Songkhla ...
Nonthaburi ...
Khon Kaen ...
Chon Buri ...
Chiang Mai ...
Nakhon Sawan ...
Ubon Ratchathani ...
Nakhon Si Thammarat ...
Saraburi ...
Turkey, 1990/1995
Istanbul 7616 1 0.0 15.8
ANKARA 2782 2 0.7 14.8
Izmir 1985 3 1.1 14.5
Adana 1047 4 1.4 13.9
Bursa 997 5 1.6 13.8
Gaziantep 716 6 1.8 13.5
Konya 576 7 1.9 13.3
Antalya 497 8 2.1 13.1
Kayseri 454 9 2.2 13.0
Eskisehir 451 10 2.3 13.0
Diyarbakir 448 11 2.4 13.0
Içel 422 12 2.5 13.0
Urfa 358 13 2.6 12.8
Samsun 327 14 2.6 12.7
Malatya 320 15 2.7 12.7
Erzurum 250 16 2.8 12.4
Kahramanmaras 242 17 2.8 12.4
Sivas 240 18 2.9 12.4
Denizli 235 19 2.9 12.4
Gebze 231 20 3.0 12.4
Tarsus 230 21 3.0 12.3
Elazig 223 22 3.1 12.3
Van 195 23 3.1 12.2
Balikesir 188 24 3.2 12.1
Manisa 188 25 3.2 12.1
Sakarya 185 26 3.3 12.1
Batman 183 27 3.3 12.1
Adapazari 171 28 3.3 12.1
Kirikkale 170 29 3.4 12.0
Sultanbeyli 170 30 3.4 12.0
Iskenderun 154 31 3.4 11.9
Trabzon 145 32 3.5 11.9
Kütahya 141 33 3.5 11.9
Osmaniye 140 34 3.5 11.9
Hatay 139 35 3.6 11.8
Antakya 137 36 3.6 11.8
Çorum 134 37 3.6 11.8
Adiyaman 128 38 3.6 11.8
Ordu 121 39 3.7 11.7
Aydin 121 40 3.7 11.7
Isparta 121 41 3.7 11.7
Usak 120 42 3.7 11.7
Zonguldak 116 43 3.8 11.7
Edirne 116 44 3.8 11.7
Karabuk 115 45 3.8 11.7
Kilis 108 46 3.8 11.6
Afyon 103 47 3.9 11.5
Hatay ...
Sakarya ...
Turkmenistan, 1990
ASHKHABAD 407 1 0.0 12.9
Chardzhou 164 2 0.7 12.0
Tashauz 114 3 1.1 11.6
Uzbekistan, 1990
TASHKENT 2094 1 0.0 14.6
Samarkand 370 2 0.7 12.8
Namangan 312 3 1.1 12.7
Andizhan 297 4 1.4 12.6
Bukhara 228 5 1.6 12.3
Fergana 198 6 1.8 12.2
Kokand 176 7 1.9 12.1
Nukus 175 8 2.1 12.1
Karshi 163 9 2.2 12.0
Chirchik 159 10 2.3 12.0
Angren 133 11 2.4 11.8
Urgentch 129 12 2.5 11.8
Almalyk 116 13 2.6 11.7
Navoi 110 14 2.6 11.6
Djizak 108 15 2.7 11.6
Vietnam, 1989/1992
Ho Chi Minh 2900 1 0.0 14.9
HANOI 1090 2 0.7 13.9
Haiphong 450 3 1.1 13.0
Da Nang 370 4 1.4 12.8
Buonmathuot 274 5 1.6 12.5
Nhatrang 213 6 1.8 12.3
Hué 212 7 1.9 12.3
Cantho 208 8 2.1 12.2
Namdinh 166 9 2.2 12.0
Qui Nhon 160 10 2.3 12.0
Rach Gia 138 11 2.4 11.8
Longxuyen 129 12 2.5 11.8
Thai Nguyen 125 13 2.6 11.7
Vungtau 124 14 2.6 11.7
Hon Gai 123 15 2.7 11.7
Vinh 111 16 2.8 11.6
Campha 105 17 2.8 11.6
Mytho 105 18 2.9 11.6
Dalat 103 19 2.9 11.5
Bien Hoa 97 20 3.0 11.5
Thanhhoa 85 21 3.0 11.3
Bac Lieu 83 22 3.1 11.3
Viettri 73 23 3.1 11.2
n numbers, Asia
Urban agglomeration
Pop. Ln
Rank Ln size
(x1000) rank
Index
...
...
...
...
Index
3397 1 0.0 15.0
1364 2 0.7 14.1
546 3 1.1 13.2
300 4 1.4 12.6
269 5 1.6 12.5
204 6 1.8 12.2
186 7 1.9 12.1
163 8 2.1 12.0
160 9 2.2 12.0
154 10 2.3 11.9
143 11 2.4 11.9
126 12 2.5 11.7
121 13 2.6 11.7
104 14 2.6 11.6
104 15 2.7 11.6
102 16 2.8 11.5
101 17 2.8 11.5
101 18 2.9 11.5
Index
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
Index
12596 1 0.0 16.3
8419 3 1.1 15.9
11022 2 0.7 16.2
5422 4 1.4 15.5
4344 5 1.6 15.3
3312 7 1.9 15.0
4130 6 1.8 15.2
2030 9 2.2 14.5
1664 11 2.4 14.3
1669 10 2.3 14.3
2494 8 2.1 14.7
1519 12 2.5 14.2
...
...
1127 14 2.6 13.9
...
1086 17 2.8 13.9
1031 19 2.9 13.8
1100 16 2.8 13.9
948 20 3.0 13.8
1101 15 2.7 13.9
...
845 23 3.1 13.6
850 21 3.0 13.7
1057 18 2.9 13.9
...
846 22 3.1 13.6
718 29 3.4 13.5
725 28 3.3 13.5
...
...
621 34 3.5 13.3
615 36 3.6 13.3
617 35 3.6 13.3
606 37 3.6 13.3
...
593 38 3.6 13.3
1141 13 2.6 13.9
654 32 3.5 13.4
...
826 24 3.2 13.6
...
576 40 3.7 13.3
653 33 3.5 13.4
...
...
512 41 3.7 13.1
468 42 3.7 13.1
463 44 3.8 13.0
444 45 3.8 13.0
...
...
801 26 3.3 13.6
...
...
419 48 3.9 12.9
440 46 3.8 13.0
...
405 49 3.9 12.9
712 30 3.4 13.5
685 31 3.4 13.4
392 55 4.0 12.9
...
...
578 39 3.7 13.3
363 59 4.1 12.8
...
399 53 4.0 12.9
...
402 50 3.9 12.9
401 52 4.0 12.9
...
...
...
311 62 4.1 12.6
...
294 66 4.2 12.6
...
...
309 64 4.2 12.6
426 47 3.9 13.0
368 56 4.0 12.8
287 67 4.2 12.6
764 27 3.3 13.5
260 75 4.3 12.5
...
...
...
...
...
248 78 4.4 12.4
254 77 4.3 12.4
260 74 4.3 12.5
275 69 4.2 12.5
306 65 4.2 12.6
...
236 80 4.4 12.4
...
...
...
...
...
271 71 4.3 12.5
236 79 4.4 12.4
...
...
...
210 88 4.5 12.3
401 51 3.9 12.9
...
...
280 68 4.2 12.5
...
257 76 4.3 12.5
209 89 4.5 12.2
364 58 4.1 12.8
...
...
...
193 93 4.5 12.2
...
...
196 91 4.5 12.2
...
222 84 4.4 12.3
230 81 4.4 12.3
193 94 4.5 12.2
265 73 4.3 12.5
311 63 4.1 12.6
...
265 72 4.3 12.5
189 96 4.6 12.1
176 104 4.6 12.1
...
181 98 4.6 12.1
...
170 107 4.7 12.0
...
...
...
177 102 4.6 12.1
362 61 4.1 12.8
...
...
171 106 4.7 12.0
...
...
161 110 4.7 12.0
...
...
...
815 25 3.2 13.6
159 113 4.7 12.0
...
...
...
...
157 114 4.7 12.0
...
187 97 4.6 12.1
...
...
...
...
160 112 4.7 12.0
...
...
220 85 4.4 12.3
...
...
399 54 4.0 12.9
363 60 4.1 12.8
151 118 4.8 11.9
177 101 4.6 12.1
180 100 4.6 12.1
...
...
...
...
...
...
367 57 4.0 12.8
...
...
...
...
...
139 124 4.8 11.8
...
223 83 4.4 12.3
193 92 4.5 12.2
...
...
149 120 4.8 11.9
...
191 95 4.6 12.2
...
...
...
156 116 4.8 12.0
230 81 4.4 12.3
177 103 4.6 12.1
...
128 131 4.9 11.8
...
180 99 4.6 12.1
...
...
...
136 126 4.8 11.8
216 86 4.5 12.3
...
...
...
...
126 137 4.9 11.7
...
126 136 4.9 11.7
...
127 134 4.9 11.8
...
...
...
160 111 4.7 12.0
...
126 135 4.9 11.7
137 125 4.8 11.8
...
...
...
...
...
...
174 105 4.7 12.1
...
...
...
...
122 139 4.9 11.7
111 149 5.0 11.6
...
132 129 4.9 11.8
...
...
...
...
...
107 155 5.0 11.6
...
...
...
...
...
121 140 4.9 11.7
123 138 4.9 11.7
...
...
129 130 4.9 11.8
...
...
197 90 4.5 12.2
100 165 5.1 11.5
101 164 5.1 11.5
135 127 4.8 11.8
105 156 5.0 11.6
109 154 5.0 11.6
120 142 5.0 11.7
103 158 5.1 11.5
102 163 5.1 11.5
110 151 5.0 11.6
143 121 4.8 11.9
102 162 5.1 11.5
275 70 4.2 12.5
102 160 5.1 11.5
464 43 3.8 13.0
167 108 4.7 12.0
156 117 4.8 12.0
112 148 5.0 11.6
118 144 5.0 11.7
142 123 4.8 11.9
133 128 4.9 11.8
212 87 4.5 12.3
120 141 4.9 11.7
110 153 5.0 11.6
143 122 4.8 11.9
127 132 4.9 11.8
127 133 4.9 11.8
102 161 5.1 11.5
118 145 5.0 11.7
166 109 4.7 12.0
103 159 5.1 11.5
115 146 5.0 11.7
149 119 4.8 11.9
103 157 5.1 11.5
119 143 5.0 11.7
111 150 5.0 11.6
114 147 5.0 11.6
157 115 4.7 12.0
110 152 5.0 11.6
Index
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
Index
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
Index
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
Index
...
...
...
...
...
...
...
...
...
...
...
...
Index
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
Index
1198 1 0.0 14.0
596 2 0.7 13.3
447 3 1.1 13.0
...
367 4 1.4 12.8
343 5 1.6 12.7
342 6 1.8 12.7
317 7 1.9 12.7
292 8 2.1 12.6
266 9 2.2 12.5
249 10 2.3 12.4
246 11 2.4 12.4
227 12 2.5 12.3
190 13 2.6 12.2
165 14 2.6 12.0
156 15 2.7 12.0
146 17 2.8 11.9
151 16 2.8 11.9
146 17 2.8 11.9
146 17 2.8 11.9
113 20 3.0 11.6
Index
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Index
…
…
Index
1145 1 0.0 14.0
469 2 0.7 13.1
442 3 1.1 13.0
352 5 1.6 12.8
368 4 1.4 12.8
229 7 1.9 12.3
235 6 1.8 12.4
219 8 2.1 12.3
201 9 2.2 12.2
187 11 2.4 12.1
193 10 2.3 12.2
...
...
Index
...
...
...
...
...
...
...
...
Index
…
Index
5181 1 0.0 15.5
2953 2 0.7 14.9
1104 3 1.1 13.9
795 4 1.4 13.6
752 5 1.6 13.5
732 6 1.8 13.5
659 7 1.9 13.4
566 8 2.1 13.2
302 9 2.2 12.6
291 10 2.3 12.6
286 11 2.4 12.6
204 12 2.5 12.2
196 13 2.6 12.2
180 14 2.6 12.1
156 15 2.7 12.0
155 16 2.8 12.0
153 17 2.8 11.9
148 18 2.9 11.9
141 19 2.9 11.9
119 20 3.0 11.7
106 21 3.0 11.6
102 22 3.1 11.5
102 23 3.1 11.5
Index
6720
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
Index
...
Index
...
...
...
...
...
...
...
Index
...
...
Index
5876 1 0.0 15.6
278 2 0.7 12.5
243 3 1.1 12.4
233 4 1.4 12.4
206 5 1.6 12.2
187 6 1.8 12.1
167 7 1.9 12.0
152 8 2.1 11.9
137 9 2.2 11.8
112 10 2.3 11.6
107 11 2.4 11.6
Index
7784 1 0.0 15.9
3103 2 0.7 14.9
2412 3 1.1 14.7
1520 4 1.4 14.2
1381 5 1.6 14.1
974 7 1.9 13.8
1069 6 1.8 13.9
790 8 2.1 13.6
665 12 2.5 13.4
520 16 2.8 13.2
708 10 2.3 13.5
787 9 2.2 13.6
689 11 2.4 13.4
570 15 2.7 13.3
425 23 3.1 13.0
426 21 3.0 13.0
443 18 2.9 13.0
426 20 3.0 13.0
379 25 3.2 12.8
...
...
292 30 3.4 12.6
312 28 3.3 12.7
513 17 2.8 13.1
661 13 2.6 13.4
...
238 35 3.6 12.4
298 29 3.4 12.6
234 36 3.6 12.4
...
...
328 27 3.3 12.7
263 33 3.5 12.5
...
...
...
283 31 3.4 12.6
279 32 3.5 12.5
397 24 3.2 12.9
425 22 3.1 13.0
261 34 3.5 12.5
164 38 3.6 12.0
431 19 2.9 13.0
233 37 3.6 12.4
...
...
...
573 14 2.6 13.3
330 26 3.3 12.7
Index
...
...
...
Index
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
Index
3924 1 0.0 15.2
3056 2 0.7 14.9
1448 3 1.1 14.2
370 4 1.4 12.8
314 5 1.6 12.7
263 7 1.9 12.5
260 8 2.1 12.5
284 6 1.8 12.6
220 10 2.3 12.3
202 12 2.5 12.2
151 15 2.7 11.9
214 11 2.4 12.3
172 14 2.6 12.1
134 17 2.8 11.8
129 18 2.9 11.8
175 13 2.6 12.1
127 19 2.9 11.8
149 16 2.8 11.9
116 22 3.1 11.7
229 9 2.2 12.3
127 20 3.0 11.8
116 23 3.1 11.7
116 21 3.0 11.7