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Population<br />

(millions) Rank * Average annual<br />

rate of change<br />

(percentage)<br />

2011 population residing<br />

in agglomeration,<br />

as percentage of<br />

Urban agglomeration Country 1975 2011 2025 1975 2011 2025 2010-2015 2020-2025<br />

Total<br />

population<br />

Urban<br />

population<br />

A<br />

Abidjan Côte d'Ivoire 1.0 4.3 7.0 170 77 62 3.4 3.3 21.3 41.5<br />

Abuja Nigeria 0.1 2.2 4.0 449 187 132 5.7 3.8 1.3 2.7<br />

Accra Ghana 0.7 2.6 4.2 226 153 125 4.0 3.2 10.3 19.9<br />

Adana Turkey 0.5 1.5 2.1 315 302 283 3.0 1.9 2.0 2.8<br />

Addis Ababa Ethiopia 0.9 3.0 4.7 179 127 110 2.3 3.9 3.5 20.7<br />

Adelaide Australia 0.9 1.2 1.5 194 359 390 1.7 1.7 5.3 5.9<br />

Agra India 0.7 1.8 2.6 242 234 212 2.8 2.8 0.1 0.5<br />

Ahmadabad India 2.1 6.4 9.6 69 45 43 3.3 2.5 0.5 1.7<br />

Ahvaz Iran (Islamic Republic of) 0.3 1.1 1.4 383 413 428 1.9 1.4 1.4 2.1<br />

Al Kuwayt (Kuwait City) 1 Kuwait 0.7 2.4 3.3 239 170 170 3.0 1.7 85.4 86.9<br />

Al-Iskandariyah (Alexandria) Egypt 2.2 4.5 6.2 61 74 69 2.2 2.3 5.4 12.5<br />

Al-Khartum (Khartoum) Sudan 0.9 4.6 7.1 191 71 60 2.7 3.2 13.5 40.7<br />

Al-Madinah (Medina) Saudi Arabia 0.2 1.1 1.7 417 381 357 3.1 2.4 4.1 4.9<br />

Al-Mawsil (Mosul) 2 Iraq 0.4 1.5 2.4 344 296 237 3.3 3.4 4.6 6.9<br />

Al-Qahirah (Cairo) 3 Egypt 6.4 11.2 14.7 16 20 19 1.6 2.1 13.5 31.1<br />

Allahabad India 0.6 1.2 1.7 280 350 352 1.7 2.8 0.1 0.3<br />

Almaty Kazakhstan 0.9 1.4 1.8 199 310 340 1.7 1.6 8.8 16.4<br />

Amman Jordan 0.5 1.2 1.6 305 367 369 2.6 2.2 18.6 22.5<br />

Amritsar India 0.5 1.2 1.7 299 362 359 1.8 2.8 0.1 0.3<br />

Amsterdam 4 Netherlands 1.0 1.1 1.2 166 427 449 0.8 1.0 6.3 7.6<br />

Ankara 5 Turkey 1.7 4.2 5.7 93 79 79 2.8 1.7 5.7 8.0<br />

Anshan, Liaoning China 0.9 1.7 2.3 196 247 248 2.1 2.1 0.1 0.2<br />

Antananarivo Madagascar 0.5 2.0 3.9 320 206 140 4.8 4.6 9.3 28.6<br />

Anyang China 0.3 1.1 1.5 396 379 391 1.6 2.1 0.1 0.2<br />

Ar-Riyadh (Riyadh) Saudi Arabia 0.7 5.5 8.1 233 57 52 3.9 2.1 19.4 23.6<br />

Asansol India 0.3 1.2 1.7 391 342 348 1.6 2.8 0.1 0.3<br />

Asunción Paraguay 0.7 2.1 3.1 253 188 177 3.1 2.5 32.6 52.6<br />

Athínai (Athens) 6 Greece 2.7 3.4 3.9 45 103 137 1.0 1.0 30.0 48.8<br />

Atlanta United States of America 1.4 5.0 6.0 118 65 72 1.5 1.2 1.6 1.9<br />

Auckland New Zealand 0.7 1.5 1.9 227 305 318 2.7 1.5 32.9 38.1<br />

Aurangabad India 0.2 1.2 1.8 416 356 336 2.9 2.8 0.1 0.3<br />

Austin United States of America 0.3 1.3 1.6 379 336 374 1.8 1.5 0.4 0.5<br />

B<br />

Baghdad Iraq 2.6 6.0 9.1 47 48 44 2.6 3.1 18.5 27.8<br />

Baixada Santista 7 Brazil 0.8 1.7 2.0 221 248 291 1.3 1.3 0.9 1.0<br />

Baku Azerbaijan 1.4 2.1 2.9 114 190 192 2.8 1.8 22.8 42.5<br />

Baltimore United States of America 1.7 2.5 3.0 97 161 182 1.6 1.3 0.8 1.0<br />

Bamako Mali 0.4 2.0 3.6 357 201 146 4.7 3.8 12.9 36.8<br />

Bandung 8 Indonesia 1.3 2.4 3.2 124 166 171 1.6 2.2 1.0 2.0<br />

Bangalore India 2.1 8.6 13.2 65 35 23 3.8 2.5 0.7 2.2<br />

Baoding China 0.4 1.2 1.7 359 368 362 2.6 2.2 0.1 0.2<br />

Baotou China 0.8 2.0 2.6 213 208 218 1.4 2.0 0.1 0.3<br />

Barcelona Spain 3.7 5.6 6.5 31 54 66 1.4 0.9 12.0 15.5<br />

Barquisimeto Venezuela (Bolivarian Republic of) 0.5 1.2 1.6 312 346 368 2.3 1.7 4.2 4.5<br />

Barranquilla 9 Colombia 0.8 1.9 2.5 205 215 231 1.8 1.7 4.0 5.4<br />

Batam Indonesia 0.0 1.0 1.8 455 442 329 6.8 2.4 0.4 0.8<br />

Bayrut (Beirut) Lebanon 1.5 2.0 2.4 110 203 235 1.7 1.1 47.5 54.4<br />

Beijing China 4.8 15.6 22.6 19 8 9 3.7 1.7 1.2 2.3<br />

Belém 10 Brazil 0.7 2.1 2.5 234 195 225 1.5 1.2 1.1 1.2<br />

Belo Horizonte 11 Brazil 1.9 5.5 6.6 74 56 65 1.5 1.1 2.8 3.3<br />

Benin City Nigeria 0.2 1.4 2.4 408 324 241 3.9 3.9 0.8 1.7<br />

Beograd (Belgrade) 12 Serbia 1.0 1.1 1.2 168 387 441 0.2 1.0 11.5 20.4<br />

Berlin Germany 3.1 3.5 3.7 40 102 144 0.3 0.5 4.2 5.7<br />

Bhopal India 0.5 1.9 2.8 309 214 199 2.6 2.8 0.2 0.5<br />

Birmingham 13 United Kingdom 2.4 2.3 2.6 55 177 215 0.3 1.2 3.6 4.6<br />

Bogotá Colombia 3.0 8.7 11.4 41 34 34 2.5 1.4 18.6 24.7<br />

Boston United States of America 3.2 4.8 5.8 37 68 75 1.5 1.2 1.5 1.9<br />

Brasília Brazil 0.8 3.8 4.9 208 88 100 2.8 1.2 1.9 2.3<br />

Brazzaville Congo 0.3 1.6 2.4 375 264 245 3.1 2.6 38.9 61.1<br />

Bridgeport-Stamford United States of America 0.7 1.1 1.4 235 395 421 1.8 1.5 0.4 0.4<br />

Brisbane Australia 0.9 2.0 2.6 177 200 210 2.1 1.6 9.0 10.1<br />

Bruxelles-Brussel Belgium 1.6 1.9 2.2 101 209 267 0.8 0.7 18.1 18.6<br />

Bucaramanga Colombia 0.4 1.1 1.5 338 396 398 2.4 1.8 2.4 3.2<br />

Bucuresti (Bucharest) Romania 1.7 1.9 2.0 94 211 284 0.2 0.6 9.0 17.1<br />

Budapest Hungary 2.0 1.7 1.9 72 239 311 0.4 0.8 17.4 25.1<br />

Buenos Aires Argentina 8.7 13.5 15.5 7 12 16 1.1 0.9 33.2 35.9<br />

Buffalo United States of America 1.0 1.1 1.4 155 403 425 1.7 1.5 0.4 0.4<br />

Bursa 14 Turkey 0.3 1.7 2.4 366 244 239 3.0 1.9 2.3 3.3<br />

Busan 15 Republic of Korea 2.4 3.4 3.3 51 106 165 -0.5 0.2 7.0 8.4<br />

C<br />

Calgary 16 Canada 0.5 1.2 1.5 318 351 392 1.9 1.5 3.5 4.4<br />

Cali 17 Colombia 1.0 2.5 3.2 153 162 176 2.1 1.7 5.2 6.9<br />

Campinas 18 Brazil 0.8 2.8 3.5 220 140 155 1.8 1.2 1.4 1.7<br />

Can Tho Viet Nam 0.1 1.0 2.0 439 454 287 8.8 2.9 1.1 3.6<br />

Cape Town South Africa 1.3 3.6 4.4 123 98 120 1.7 1.4 7.1 11.4<br />

Caracas Venezuela (Bolivarian Republic of) 2.3 3.2 4.2 56 115 127 2.0 1.6 11.0 11.8<br />

Chandigarh India 0.3 1.0 1.5 387 443 394 2.5 2.9 0.1 0.3<br />

Changchun China 1.4 3.7 5.2 115 93 89 2.7 2.0 0.3 0.5<br />

Changsha, Hunan China 0.8 3.3 4.9 211 112 99 3.7 2.0 0.2 0.5<br />

Changzhou, Jiangsu China 0.4 2.4 3.5 343 171 152 3.4 2.0 0.2 0.4<br />

Charlotte United States of America 0.3 1.1 1.4 381 402 424 1.8 1.5 0.4 0.4<br />

Chelyabinsk Russian Federation 1.0 1.1 1.2 169 388 445 0.6 0.6 0.8 1.1<br />

Chengdu China 1.9 6.7 10.0 78 42 38 4.0 1.9 0.5 1.0<br />

Chennai (Madras) India 3.6 8.8 12.8 32 32 25 3.0 2.5 0.7 2.3<br />

Chicago United States of America 7.2 9.7 11.4 13 27 33 1.3 1.1 3.1 3.8<br />

Chittagong Bangladesh 1.0 5.2 8.0 157 59 53 3.3 2.9 3.5 12.3<br />

Chongqing China 2.4 10.0 13.6 52 24 21 2.5 1.8 0.7 1.5<br />

Cincinnati United States of America 1.2 1.8 2.2 133 229 260 1.7 1.4 0.6 0.7<br />

Ciudad de Guatemala (Guatemala City) 19 Guatemala 0.7 1.2 2.0 230 371 303 3.8 3.6 7.9 15.9<br />

Ciudad de México (Mexico City) 20 Mexico 10.7 20.4 24.6 3 3 5 1.5 1.1 17.8 22.8<br />

Ciudad de Panamá (Panama City) 21 Panama 0.5 1.4 2.0 295 311 298 2.6 2.1 39.9 53.1<br />

Ciudad Juárez Mexico 0.5 1.3 1.6 313 328 372 0.7 1.6 1.2 1.5<br />

Cleveland United States of America 1.8 2.1 2.5 81 198 223 1.6 1.4 0.7 0.8<br />

Coimbatore India 0.8 2.2 3.4 212 185 161 3.8 2.8 0.2 0.6<br />

Columbus, Ohio United States of America 0.8 1.4 1.7 210 315 346 1.7 1.5 0.4 0.5<br />

Conakry Guinea 0.6 1.8 3.2 281 228 175 4.3 3.9 17.5 49.3<br />

Córdoba 22 Argentina 0.9 1.6 1.9 187 278 317 1.5 1.3 3.8 4.1<br />

Curitiba 23 Brazil 0.9 3.2 4.0 181 116 134 2.1 1.2 1.6 1.9<br />

D<br />

Daegu 24 Republic of Korea 1.3 2.4 2.6 125 164 219 0.1 0.3 5.1 6.1<br />

Daejon 25 Republic of Korea 0.5 1.5 1.7 304 283 353 1.2 0.4 3.2 3.8<br />

Dakar Senegal 0.8 3.0 5.1 218 124 93 3.7 3.6 23.8 55.9<br />

Dalian China 1.3 3.4 4.5 127 109 117 1.8 1.9 0.2 0.5<br />

Dallas-Fort Worth United States of America 2.2 5.2 6.3 62 60 68 1.5 1.2 1.7 2.0<br />

Daqing China 0.4 1.6 2.4 324 267 240 3.5 2.1 0.1 0.2<br />

Dar es Salaam United Republic of Tanzania 0.6 3.6 7.3 278 96 57 5.0 5.0 7.8 29.1<br />

Dar-el-Beida (Casablanca) 26 Morocco 1.8 3.0 3.9 85 122 138 1.6 1.8 9.4 16.5<br />

Datong, Shanxi China 0.5 1.4 2.0 307 316 302 2.7 2.1 0.1 0.2<br />

Davao Philippines 0.5 1.6 2.3 310 275 252 2.7 2.8 1.6 3.4<br />

Delhi 27 India 4.4 22.7 32.9 22 2 2 3.1 2.4 1.8 5.8<br />

Denver-Aurora United States of America 1.2 2.5 3.1 134 155 180 1.6 1.3 0.8 1.0<br />

Detroit United States of America 3.9 4.4 5.3 28 76 85 1.5 1.2 1.4 1.7<br />

Dhaka Bangladesh 2.2 15.4 22.9 63 9 8 3.0 2.6 10.2 36.0<br />

Dhanbad India 0.5 1.2 1.7 297 358 367 1.4 2.8 0.1 0.3<br />

Dimashq (Damascus) Syrian Arab Republic 1.1 2.6 3.9 143 151 142 2.7 2.6 12.8 22.8<br />

Dongguan, Guangdong China 0.1 7.3 9.6 440 40 42 1.9 1.8 0.5 1.1<br />

Douala Cameroon 0.4 2.4 4.0 329 163 135 4.0 3.1 12.2 23.5<br />

Dubayy (Dubai) United Arab Emirates 0.2 2.0 3.5 428 207 158 6.7 2.1 25.1 29.7<br />

Dublin Ireland 0.8 1.1 1.5 204 393 405 1.9 1.9 24.8 39.8<br />

Durban South Africa 1.0 3.0 3.7 156 125 143 1.7 1.4 6.0 9.6<br />

Durg-Bhilainagar India 0.3 1.1 1.5 374 418 399 1.7 2.8 0.1 0.3<br />

E<br />

Edmonton 28 Canada 0.5 1.1 1.4 288 382 415 1.8 1.5 3.3 4.1<br />

Ekurhuleni (East Rand) South Africa 1.0 3.4 4.2 160 110 128 1.8 1.4 6.7 10.7<br />

El Djazaïr (Algiers) 29 Algeria 1.5 2.9 4.0 109 133 136 2.3 1.9 8.1 11.1<br />

Esfahan Iran (Islamic Republic of) 0.6 1.8 2.2 264 230 259 2.0 1.3 2.4 3.4<br />

F<br />

Faisalabad Pakistan 0.9 3.0 4.6 185 123 114 3.1 2.9 1.7 4.7<br />

Fès Morocco 0.4 1.1 1.5 328 410 413 2.2 2.0 3.4 5.9<br />

Florianópolis 30 Brazil 0.2 1.0 1.4 413 435 423 3.0 1.4 0.5 0.6<br />

Fortaleza 31 Brazil 1.1 3.6 4.4 140 95 119 1.9 1.2 1.8 2.2<br />

Foshan China 0.5 6.5 9.8 302 44 40 4.2 1.9 0.5 1.0<br />

Fukuoka-Kitakyushu Japan 1.9 2.9 3.1 79 137 179 0.9 0.3 2.3 2.5<br />

Fushun, Liaoning China 0.9 1.4 1.7 186 320 345 0.6 2.1 0.1 0.2<br />

Fuzhou, Fujian China 0.6 2.9 4.2 260 135 123 3.4 2.0 0.2 0.4<br />

G<br />

Gaziantep 32 Turkey 0.3 1.2 1.7 388 360 356 3.0 2.0 1.6 2.3<br />

Glasgow 33 United Kingdom 1.6 1.1 1.3 102 384 436 0.1 1.3 1.8 2.3<br />

Goiânia 34 Brazil 0.5 2.1 2.6 296 194 208 2.2 1.3 1.1 1.3<br />

Grande São Luís 35 Brazil 0.3 1.3 1.7 367 329 361 1.9 1.3 0.7 0.8<br />

Grande Vitória 36 Brazil 0.5 1.7 2.1 308 246 278 1.7 1.3 0.9 1.0<br />

Guadalajara 37 Mexico 1.8 4.5 5.7 80 73 80 1.8 1.4 3.9 5.0<br />

Guangzhou, Guangdong China 1.7 10.8 15.5 95 21 17 3.3 1.8 0.8 1.6<br />

Guayaquil 38 Ecuador 0.9 2.3 2.9 189 176 194 0.9 2.0 15.6 23.1<br />

Guiyang China 0.8 2.5 3.6 223 157 149 2.8 2.0 0.2 0.4<br />

Gujranwala Pakistan 0.4 1.8 2.7 332 233 204 3.2 3.0 1.0 2.8<br />

Gwalior India 0.5 1.1 1.6 316 401 371 2.5 2.9 0.1 0.3<br />

Gwangju 39 Republic of Korea 0.6 1.5 1.7 267 293 365 1.1 0.4 3.1 3.7<br />

Gwangju Republic of Korea 0.6 1.5 1.5 268 281 345 0.9 0.0 3.0 3.7<br />

H<br />

Hà Noi 40 Viet Nam 0.8 3.0 4.8 224 128 104 4.6 2.7 3.3 10.7<br />

Haerbin China 1.7 5.7 8.2 89 52 49 3.4 1.9 0.4 0.8<br />

Haikou China 0.2 1.6 2.3 404 256 254 2.5 2.1 0.1 0.2<br />

Halab (Aleppo) Syrian Arab Republic 0.9 3.2 4.6 195 118 113 2.9 2.6 15.2 27.2<br />

Hamburg Germany 1.7 1.8 1.9 92 227 306 0.5 0.6 2.2 3.0<br />

Handan China 0.2 1.3 2.0 403 333 290 4.2 2.2 0.1 0.2<br />

Hangzhou China 1.1 5.4 8.5 148 58 48 4.6 1.9 0.4 0.8<br />

Harare Zimbabwe 0.5 1.5 2.3 291 282 247 1.8 3.2 12.1 31.3<br />

Hefa (Haifa) Israel 0.4 1.1 1.3 351 428 433 1.1 1.6 13.9 15.2<br />

Hefei China 0.6 3.0 5.0 273 126 95 5.8 2.1 0.2 0.4<br />

Helsinki 41 Finland 0.6 1.1 1.3 274 390 435 1.0 0.9 21.1 25.2<br />

Hengyang China 0.3 1.1 1.7 393 386 360 3.2 2.2 0.1 0.2<br />

Hims (Homs) Syrian Arab Republic 0.3 1.4 2.1 384 321 281 3.3 2.7 6.6 11.8<br />

Hiroshima Japan 1.8 2.1 2.3 86 191 249 0.8 0.4 1.7 1.8<br />

Population<br />

(millions) Rank * Average annual<br />

rate of change<br />

(percentage)<br />

2011 population residing<br />

in agglomeration,<br />

as percentage of<br />

Urban agglomeration Country 1975 2011 2025 1975 2011 2025 2010-2015 2020-2025<br />

Total<br />

population<br />

Urban<br />

population<br />

Hohhot China 0.4 1.5 2.2 334 295 258 3.6 2.1 0.1 0.2<br />

Hong Kong 42 China, Hong Kong SAR 3.9 7.1 8.2 26 41 50 1.0 0.9 100.0 100.0<br />

Houston United States of America 2.0 4.9 5.9 70 67 74 1.5 1.2 1.6 1.9<br />

Huai'an China 0.2 1.3 2.0 426 332 289 4.1 2.2 0.1 0.2<br />

Huaibei China 0.1 1.0 1.6 435 453 386 4.2 2.2 0.1 0.1<br />

Huainan China 0.6 1.4 2.1 286 308 280 2.9 2.1 0.1 0.2<br />

Huambo Angola 0.1 1.1 2.0 446 405 297 5.2 3.6 5.6 9.5<br />

Huizhou China 0.1 1.9 3.0 442 219 185 5.0 2.1 0.1 0.3<br />

Hyderabad India 2.1 7.8 11.6 68 37 31 3.3 2.5 0.6 2.0<br />

Hyderabad Pakistan 0.7 1.7 2.6 249 245 211 3.2 3.0 1.0 2.7<br />

I<br />

Ibadan Nigeria 1.0 2.9 5.0 165 129 96 3.6 3.8 1.8 3.7<br />

Incheon 43 Republic of Korea 0.8 2.6 2.8 214 152 196 0.9 0.3 5.4 6.5<br />

Indianapolis United States of America 0.8 1.6 2.0 207 270 304 1.7 1.4 0.5 0.6<br />

Indore India 0.7 2.2 3.2 251 184 172 2.8 2.7 0.2 0.6<br />

Irbil (Erbil) Iraq 0.2 1.0 1.7 420 441 364 3.1 3.5 3.2 4.8<br />

Istanbul 44 Turkey 3.6 11.3 14.9 33 18 18 2.6 1.5 15.3 21.4<br />

Izmir 45 Turkey 1.0 2.9 4.0 154 131 131 2.8 1.8 4.0 5.6<br />

J<br />

Jabalpur India 0.6 1.3 1.8 265 341 341 1.5 2.8 0.1 0.3<br />

Jacksonville, Florida United States of America 0.6 1.1 1.4 283 411 429 1.8 1.5 0.3 0.4<br />

Jaipur India 0.8 3.1 4.6 219 120 115 2.8 2.7 0.2 0.8<br />

Jakarta Indonesia 4.8 9.8 12.8 20 25 24 1.7 1.9 4.0 7.9<br />

Jamshedpur India 0.5 1.3 1.9 289 327 310 2.1 2.8 0.1 0.3<br />

Jiangmen China 0.1 1.1 1.6 436 391 376 2.6 2.2 0.1 0.2<br />

Jiddah Saudi Arabia 0.6 3.6 5.2 270 97 87 3.4 2.1 12.7 15.5<br />

Jilin China 0.7 1.9 2.8 247 210 201 2.8 2.1 0.1 0.3<br />

Jinan, Shandong China 1.2 3.7 5.3 138 92 86 3.2 2.0 0.3 0.5<br />

Jingzhou China 0.2 1.1 1.6 421 417 388 3.0 2.2 0.1 0.2<br />

Jining, Shandong China 0.2 1.2 1.8 430 344 331 3.2 2.2 0.1 0.2<br />

Jixi, Heilongjiang China 0.3 1.1 1.5 372 419 397 2.5 2.2 0.1 0.2<br />

João Pessoa 46 Brazil 0.4 1.1 1.4 358 407 420 2.4 1.4 0.6 0.7<br />

Jodhpur India 0.4 1.1 1.7 346 377 351 2.9 2.9 0.1 0.3<br />

Johannesburg South Africa 1.5 3.8 4.7 107 87 108 1.8 1.4 7.6 12.3<br />

Johore Bahru Malaysia 0.2 1.0 1.6 424 432 384 3.8 2.3 3.6 5.0<br />

K<br />

Kabul Afghanistan 0.7 3.1 5.1 246 121 92 2.2 4.3 9.6 40.7<br />

Kaduna Nigeria 0.4 1.5 2.6 337 285 209 3.6 3.9 0.9 1.9<br />

Kampala Uganda 0.4 1.7 3.5 341 250 150 4.6 5.6 4.8 30.9<br />

Kano Nigeria 0.9 3.4 5.7 202 105 78 3.5 3.7 2.1 4.2<br />

Kanpur India 1.4 2.9 3.9 116 130 139 1.1 2.6 0.2 0.8<br />

Kansas City United States of America 1.1 1.6 2.0 149 266 299 1.7 1.4 0.5 0.6<br />

Kaohsiung China 1.0 1.5 1.9 163 287 312 0.6 2.1 0.1 0.2<br />

Karachi Pakistan 4.0 13.9 20.2 25 11 10 2.8 2.6 7.9 21.7<br />

Karaj Iran (Islamic Republic of) 0.1 1.6 2.1 443 253 276 2.6 1.3 2.2 3.2<br />

Kathmandu 47 Nepal 0.2 1.0 1.8 425 448 337 4.1 3.9 3.3 19.6<br />

Kazan Russian Federation 0.9 1.1 1.2 173 378 442 0.5 0.6 0.8 1.1<br />

Kharkiv Ukraine 1.4 1.5 1.4 119 306 418 -0.1 -0.2 3.2 4.7<br />

Khulna Bangladesh 0.5 1.8 2.8 314 231 197 3.4 3.1 1.2 4.2<br />

Kigali Rwanda 0.1 1.0 1.8 447 455 330 4.6 4.0 9.2 48.0<br />

Kinshasa Dem. Rep. of the Congo 1.5 8.8 14.5 111 31 20 4.1 3.3 13.0 37.9<br />

Klang Malaysia 0.1 1.2 1.8 434 363 333 4.3 2.3 4.1 5.7<br />

København (Copenhagen) 48 Denmark 1.2 1.2 1.4 136 355 422 1.1 1.0 21.6 24.9<br />

Kochi (Cochin) India 0.5 1.6 2.3 292 259 253 1.9 2.8 0.1 0.4<br />

Kolkata (Calcutta) India 7.9 14.4 18.7 9 10 12 1.1 2.3 1.2 3.7<br />

Köln (Cologne) Germany 0.9 1.0 1.1 184 452 454 0.5 0.7 1.2 1.7<br />

Konya 49 Turkey 0.2 1.1 1.5 401 426 401 3.1 2.0 1.4 2.0<br />

Kota India 0.3 1.0 1.6 395 450 383 3.4 2.9 0.1 0.3<br />

Krung Thep (Bangkok) Thailand 3.8 8.4 11.2 29 36 35 2.4 1.8 12.1 35.6<br />

Kuala Lumpur Malaysia 0.6 1.6 2.2 255 279 263 2.4 2.2 5.4 7.4<br />

Kumasi Ghana 0.4 2.0 3.3 342 204 164 4.1 3.3 8.1 15.6<br />

Kunming China 0.5 3.5 4.8 300 100 103 2.5 2.0 0.3 0.5<br />

Kyiv (Kiev) Ukraine 1.9 2.8 3.0 73 144 186 0.7 0.2 6.3 9.1<br />

Kyoto Japan 1.6 1.8 1.9 98 225 309 0.3 0.4 1.4 1.6<br />

L<br />

La Habana (Havana) Cuba 1.8 2.1 2.0 82 193 288 -0.5 0.1 18.8 25.0<br />

La Paz 50 Bolivia (Plurinational State of) 0.7 1.7 2.4 236 243 236 2.4 2.4 17.0 25.4<br />

Lagos 51 Nigeria 1.9 11.2 18.9 75 19 11 3.9 3.5 6.9 13.9<br />

Lahore Pakistan 2.4 7.6 11.2 53 38 36 2.9 2.7 4.3 11.8<br />

Lanzhou China 0.9 2.6 3.6 172 154 147 2.8 2.0 0.2 0.4<br />

Las Vegas United States of America 0.3 2.0 2.5 378 202 226 1.7 1.4 0.6 0.8<br />

León de los Aldamas 52 Mexico 0.6 1.7 2.2 271 251 268 2.3 1.6 1.4 1.8<br />

Lianyungang China 0.2 1.0 1.7 405 447 363 5.0 2.3 0.1 0.1<br />

Lille France 0.9 1.0 1.3 174 436 440 1.1 1.3 1.7 1.9<br />

Lima 53 Peru 3.7 9.1 11.5 30 29 32 1.9 1.5 31.1 40.2<br />

Linyi, Shandong China 0.1 1.5 2.0 448 304 295 2.1 2.1 0.1 0.2<br />

Lisboa (Lisbon) 54 Portugal 2.1 2.8 3.2 66 141 174 0.8 0.8 26.6 43.6<br />

Liuzhou China 0.4 1.4 2.0 355 317 301 2.8 2.1 0.1 0.2<br />

Lomé Togo 0.3 1.5 2.5 397 284 229 4.6 2.8 24.8 65.1<br />

London 55 United Kingdom 7.5 9.0 10.3 12 30 37 0.9 0.9 14.4 18.1<br />

Los Angeles-Long Beach-Santa Ana United States of America 8.9 13.4 15.7 6 13 14 1.3 1.0 4.3 5.2<br />

Louisville United States of America 0.8 1.0 1.3 225 440 434 1.8 1.5 0.3 0.4<br />

Luanda Angola 0.7 5.1 8.9 250 63 45 5.1 3.3 25.8 43.6<br />

Lubumbashi Dem. Rep. of the Congo 0.4 1.6 2.7 345 277 205 4.3 3.6 2.3 6.7<br />

Lucknow India 0.9 2.9 4.2 188 132 124 2.5 2.7 0.2 0.8<br />

Ludhiana India 0.5 1.6 2.3 311 258 255 1.7 2.8 0.1 0.4<br />

Luoyang China 0.5 1.6 2.2 317 272 261 2.4 2.1 0.1 0.2<br />

Lusaka Zambia 0.4 1.8 3.5 348 226 157 4.7 4.7 13.4 34.2<br />

Lyon France 1.2 1.5 1.8 135 298 339 1.3 1.2 2.4 2.7<br />

M<br />

Maceió 56 Brazil 0.3 1.2 1.5 368 369 407 1.9 1.4 0.6 0.7<br />

Madrid Spain 3.9 6.6 8.1 27 43 51 2.4 0.9 14.2 18.3<br />

Madurai India 0.8 1.5 2.1 215 301 275 2.2 2.8 0.1 0.4<br />

Makkah (Mecca) Saudi Arabia 0.4 1.6 2.3 349 269 251 3.0 2.3 5.7 6.9<br />

Manaus 57 Brazil 0.4 1.8 2.4 336 220 238 2.6 1.3 0.9 1.1<br />

Manchester 58 United Kingdom 2.4 2.2 2.5 54 181 224 0.3 1.2 3.5 4.5<br />

Mandalay Myanmar 0.4 1.1 1.6 325 422 382 2.8 2.7 2.2 6.7<br />

Manila 59 Philippines 5.0 11.9 16.3 18 15 13 2.0 2.4 12.5 25.6<br />

Maoming China 0.1 1.1 1.7 451 429 366 4.4 2.2 0.1 0.2<br />

Maputo Mozambique 0.5 1.2 1.8 319 376 332 2.2 3.8 4.8 15.4<br />

Maracaibo Venezuela (Bolivarian Republic of) 0.8 2.3 3.0 216 175 183 2.2 1.6 7.8 8.4<br />

Maracay Venezuela (Bolivarian Republic of) 0.3 1.1 1.5 369 400 404 2.3 1.8 3.8 4.0<br />

Marseille-Aix-en-Provence France 1.3 1.5 1.8 129 297 338 1.3 1.2 2.4 2.7<br />

Mashhad Iran (Islamic Republic of) 0.6 2.7 3.4 262 149 163 2.0 1.2 3.6 5.3<br />

Mbuji-Mayi Dem. Rep. of the Congo 0.3 1.5 2.6 377 292 213 4.4 3.6 2.2 6.5<br />

Medan 60 Indonesia 0.9 2.1 2.8 197 192 198 1.3 2.2 0.9 1.7<br />

Medellín 61 Colombia 1.5 3.7 4.9 108 94 101 2.5 1.6 7.9 10.5<br />

Meerut India 0.4 1.4 2.1 330 309 282 2.1 2.8 0.1 0.4<br />

Melbourne Australia 2.6 4.0 5.0 50 83 98 1.7 1.5 17.5 19.6<br />

Memphis United States of America 0.7 1.2 1.5 228 364 403 1.7 1.5 0.4 0.5<br />

Mérida Mexico 0.4 1.0 1.3 364 439 431 1.9 1.7 0.9 1.2<br />

Miami United States of America 2.6 6.1 7.3 48 47 58 1.4 1.2 1.9 2.3<br />

Mianyang, Sichuan China 0.2 1.0 1.5 429 444 406 2.7 2.2 0.1 0.2<br />

Milano (Milan) Italy 3.1 2.9 3.1 39 134 178 0.0 0.7 4.8 7.0<br />

Milwaukee United States of America 1.2 1.5 1.9 131 289 320 1.7 1.4 0.5 0.6<br />

Minneapolis-St. Paul United States of America 1.7 2.8 3.5 88 139 159 1.6 1.3 0.9 1.1<br />

Minsk Belarus 1.1 1.9 2.0 144 218 286 0.8 0.5 19.5 25.9<br />

Monterrey 62 Mexico 1.6 4.2 5.5 103 78 83 2.5 1.4 3.7 4.7<br />

Montevideo 63 Uruguay 1.4 1.7 1.9 117 249 315 0.8 0.9 49.5 53.4<br />

Montréal 64 Canada 2.8 3.9 4.6 43 86 111 1.3 1.3 11.2 13.9<br />

Moskva (Moscow) Russian Federation 7.6 11.6 12.6 10 16 27 1.1 0.2 8.1 11.0<br />

Multan Pakistan 0.6 1.8 2.7 268 232 203 3.2 3.0 1.0 2.8<br />

Mumbai (Bombay) India 7.1 19.7 26.6 14 7 4 1.8 2.3 1.6 5.1<br />

München (Munich) Germany 1.3 1.4 1.5 126 323 395 0.9 0.6 1.7 2.2<br />

Muqdisho (Mogadishu) Somalia 0.4 1.6 3.3 323 280 169 8.0 4.1 16.3 43.1<br />

N<br />

N'Djaména Chad 0.2 1.1 1.9 409 414 323 3.8 4.1 9.4 42.9<br />

Nagoya Japan 2.3 3.3 3.6 58 113 148 0.9 0.3 2.6 2.9<br />

Nagpur India 1.1 2.5 3.5 150 159 156 1.8 2.7 0.2 0.6<br />

Nairobi Kenya 0.7 3.4 6.1 244 108 70 4.0 4.4 8.1 33.7<br />

Nanchang China 0.7 2.4 3.5 240 169 153 3.4 2.0 0.2 0.4<br />

Nanjing, Jiangsu China 1.6 5.9 8.5 104 51 47 3.4 1.9 0.4 0.9<br />

Nanning China 0.5 2.1 2.9 301 189 190 2.1 2.0 0.2 0.3<br />

Nantong China 0.3 1.6 2.5 376 260 228 4.1 2.1 0.1 0.2<br />

Nanyang, Henan China 0.2 1.2 2.0 433 348 296 5.0 2.2 0.1 0.2<br />

Napoli (Naples) Italy 2.1 2.4 2.7 67 173 207 1.0 0.8 3.9 5.7<br />

Nashik India 0.3 1.6 2.4 373 271 242 3.0 2.8 0.1 0.4<br />

Natal Brazil 0.4 1.3 1.7 356 335 350 3.0 1.4 0.7 0.8<br />

Nay Pyi Taw Myanmar 0.0 1.1 1.6 456 424 377 3.2 2.7 2.2 6.7<br />

New York-Newark United States of America 15.9 20.4 23.6 2 4 6 1.2 0.9 6.5 7.9<br />

Niamey Niger 0.2 1.3 2.9 419 334 189 5.9 5.8 8.1 45.3<br />

Ningbo China 0.4 2.8 4.3 339 146 122 4.3 2.0 0.2 0.4<br />

Nizhniy Novgorod Russian Federation 1.3 1.2 1.3 128 345 438 -0.4 0.5 0.9 1.2<br />

Norte/Nordeste Catarinense Brazil 0.3 1.1 1.4 392 389 417 1.8 1.4 0.6 0.7<br />

Novosibirsk Russian Federation 1.3 1.5 1.6 130 300 380 0.4 0.5 1.0 1.4<br />

O<br />

Odesa Ukraine 1.0 1.0 1.1 164 451 456 0.1 0.4 2.2 3.2<br />

Ogbomosho Nigeria 0.4 1.1 1.9 331 415 319 3.8 4.0 0.7 1.3<br />

Omsk Russian Federation 0.9 1.2 1.2 175 375 446 0.3 0.6 0.8 1.1<br />

Orlando United States of America 0.4 1.5 1.8 333 299 326 1.7 1.4 0.5 0.6<br />

Osaka-Kobe Japan 9.8 11.5 12.0 4 17 29 0.6 0.0 9.1 10.0<br />

Ottawa-Gatineau 65 Canada 0.7 1.2 1.5 245 354 400 1.5 1.5 3.5 4.4<br />

Ouagadougou Burkina Faso 0.2 2.1 4.8 432 199 105 6.9 5.4 12.1 45.6<br />

P<br />

P'yongyang Dem. People's Rep. of Korea 1.3 2.8 3.2 120 142 173 0.5 1.2 11.6 19.3<br />

Palembang 66 Indonesia 0.7 1.5 1.9 252 303 324 0.5 2.3 0.6 1.2<br />

Paris France 8.6 10.6 12.2 8 23 28 1.1 0.8 16.8 19.6<br />

Patna India 0.6 2.1 2.9 257 197 191 2.0 2.7 0.2 0.5<br />

Perth Australia 0.8 1.6 2.1 222 252 273 2.0 1.6 7.3 8.2<br />

Peshawar Pakistan 0.3 1.5 2.4 365 286 246 3.2 3.0 0.9 2.4<br />

Philadelphia United States of America 4.5 5.9 7.1 21 50 59 1.4 1.2 1.9 2.3<br />

Phnum Pénh (Phnom Penh) 67 Cambodia 0.1 1.5 2.2 444 281 264 2.7 2.2 10.8 54.2<br />

Phoenix-Mesa United States of America 1.1 3.9 4.7 145 85 109 1.5 1.3 1.2 1.5<br />

Pingdingshan, Henan China 0.1 1.0 1.4 441 437 416 1.9 2.2 0.1 0.2<br />

Pittsburgh United States of America 1.8 2.0 2.5 84 205 230 1.6 1.4 0.6 0.8<br />

Port Elizabeth South Africa 0.5 1.1 1.4 293 398 419 1.9 1.6 2.2 3.6<br />

Port Harcourt Nigeria 0.4 1.9 3.4 360 216 162 4.5 3.8 1.2 2.3<br />

Population<br />

(millions) Rank * Average annual<br />

rate of change<br />

(percentage)<br />

2011 population residing<br />

in agglomeration,<br />

as percentage of<br />

Urban agglomeration Country 1975 2011 2025 1975 2011 2025 2010-2015 2020-2025<br />

Total<br />

population<br />

Urban<br />

population<br />

Port-au-Prince Haiti 0.6 2.2 3.3 276 182 167 2.9 2.8 21.8 40.8<br />

Portland United States of America 0.9 2.1 2.5 180 196 220 1.7 1.4 0.7 0.8<br />

Porto Portugal 1.0 1.4 1.6 159 322 381 1.0 0.9 12.8 20.9<br />

Pôrto Alegre Brazil 1.7 3.9 4.6 91 84 112 1.1 1.1 2.0 2.4<br />

Praha (Prague) Czech Republic 1.1 1.3 1.4 142 340 414 0.8 0.8 12.1 16.5<br />

Pretoria South Africa 0.6 1.5 1.9 263 294 316 1.9 1.5 3.0 4.8<br />

Providence United States of America 1.0 1.4 1.7 171 313 344 1.7 1.5 0.4 0.5<br />

Puebla 68 Mexico 0.9 2.3 2.9 201 174 187 1.7 1.5 2.0 2.6<br />

Pune (Poona) India 1.3 5.1 7.5 121 62 55 2.9 2.6 0.4 1.3<br />

Putian China 0.2 1.1 1.8 423 412 343 4.9 2.2 0.1 0.2<br />

Q<br />

Qingdao China 0.9 3.8 5.4 176 89 84 3.1 2.0 0.3 0.6<br />

Qiqihaer China 0.7 1.6 2.2 237 261 262 2.0 2.1 0.1 0.2<br />

Qom Iran (Islamic Republic of) 0.2 1.1 1.3 410 420 430 2.0 1.4 1.4 2.1<br />

Quanzhou China 0.1 1.1 1.6 438 406 373 3.3 2.2 0.1 0.2<br />

Querétaro Mexico 0.2 1.1 1.6 431 380 378 3.4 1.7 1.0 1.3<br />

Quito Ecuador 0.6 1.6 2.1 261 257 271 1.7 2.0 11.1 16.4<br />

R<br />

Rabat 69 Morocco 0.6 1.8 2.4 259 221 234 2.0 1.9 5.7 10.0<br />

Raipur India 0.3 1.1 1.9 399 383 321 4.5 2.9 0.1 0.3<br />

Rajkot India 0.4 1.4 2.1 362 312 269 3.2 2.8 0.1 0.4<br />

Ranchi India 0.3 1.1 1.7 370 385 355 2.7 2.9 0.1 0.3<br />

Rawalpindi Pakistan 0.7 2.2 3.3 248 186 166 3.1 3.0 1.2 3.4<br />

Recife Brazil 1.9 3.7 4.5 76 91 118 1.3 1.1 1.9 2.2<br />

Richmond United States of America 0.6 1.0 1.3 284 456 439 1.8 1.5 0.3 0.4<br />

Rio de Janeiro Brazil 7.6 12.0 13.6 11 14 22 0.8 0.9 6.1 7.2<br />

Riverside-San Bernardino United States of America 0.6 1.9 2.4 256 213 244 1.7 1.4 0.6 0.7<br />

Roma (Rome) Italy 3.3 3.3 3.5 35 114 151 0.0 0.7 5.4 7.9<br />

Rosario Argentina 0.9 1.3 1.6 193 338 385 1.5 1.3 3.1 3.4<br />

Rostov-na-Donu (Rostov-on-Don) Russian Federation 0.9 1.1 1.2 198 408 450 0.3 0.6 0.8 1.0<br />

Rotterdam 70 Netherlands 0.9 1.0 1.2 178 449 452 0.6 1.0 6.1 7.3<br />

S<br />

Sacramento United States of America 0.7 1.8 2.2 231 235 266 1.7 1.4 0.6 0.7<br />

Salt Lake City United States of America 0.6 1.1 1.3 277 425 432 1.8 1.5 0.3 0.4<br />

Salvador Brazil 1.3 4.1 5.2 122 81 88 2.7 1.2 2.1 2.4<br />

Samara Russian Federation 1.1 1.2 1.2 139 372 444 0.2 0.6 0.8 1.1<br />

Samut Prakan Thailand 0.0 1.2 2.4 452 352 233 9.1 2.3 1.7 5.1<br />

San Antonio United States of America 0.9 1.6 2.0 200 263 294 1.7 1.4 0.5 0.6<br />

San Diego United States of America 1.4 3.2 3.9 113 117 141 1.5 1.3 1.0 1.2<br />

San Francisco-Oakland United States of America 2.6 3.7 4.5 49 90 116 1.5 1.3 1.2 1.4<br />

San Jose United States of America 1.1 1.8 2.2 146 223 256 1.6 1.4 0.6 0.7<br />

San José 71 Costa Rica 0.4 1.5 2.1 326 288 274 3.0 1.9 32.1 49.6<br />

San Juan Puerto Rico 1.1 2.5 2.6 151 160 216 0.0 0.5 66.1 66.8<br />

San Luis Potosí Mexico 0.4 1.1 1.4 352 423 427 1.9 1.7 0.9 1.2<br />

San Salvador 72 El Salvador 0.6 1.6 2.1 269 265 279 2.0 1.8 25.8 39.8<br />

Sana'a' Yemen 0.1 2.4 4.8 437 168 106 5.3 4.5 9.8 30.2<br />

Sankt Peterburg (Saint Petersburg) Russian Federation 4.3 4.9 5.1 23 66 90 0.5 0.3 3.4 4.6<br />

Santa Cruz Bolivia (Plurinational State of) 0.2 1.7 2.5 407 242 222 3.5 2.4 17.0 25.5<br />

Santiago Chile 3.1 6.0 7.1 38 49 61 1.3 1.0 34.9 39.2<br />

Santo Domingo Dominican Republic 0.9 2.2 2.9 182 183 193 1.8 1.9 21.8 31.3<br />

São Paulo Brazil 9.6 19.9 23.2 5 6 7 1.4 0.8 10.1 12.0<br />

Sapporo Japan 1.8 2.7 3.0 87 147 184 1.0 0.3 2.2 2.4<br />

Seattle United States of America 1.7 3.4 4.1 96 111 129 1.5 1.3 1.1 1.3<br />

Semarang Indonesia 0.8 1.6 2.1 217 273 277 1.4 2.3 0.6 1.3<br />

Sendai Japan 1.6 2.4 2.7 106 167 206 1.1 0.3 1.9 2.1<br />

Seoul 73 Republic of Korea 6.8 9.7 9.9 15 26 39 0.0 0.0 20.1 24.2<br />

Shanghai China 5.6 20.2 28.4 17 5 3 3.2 1.7 1.5 3.0<br />

Shantou China 0.4 4.2 5.9 350 80 73 2.8 1.9 0.3 0.6<br />

Shenyang China 3.3 5.6 7.4 36 55 56 2.0 1.9 0.4 0.8<br />

Shenzhen China 0.0 10.6 15.5 453 22 15 3.8 1.8 0.8 1.6<br />

Shijiazhuang China 0.8 2.8 4.2 209 143 126 3.5 2.0 0.2 0.4<br />

Shiraz Iran (Islamic Republic of) 0.4 1.3 1.6 340 331 370 1.7 1.4 1.8 2.6<br />

Singapore 74 Singapore 2.3 5.2 5.8 60 61 77 1.1 0.7 100.0 100.0<br />

Sofia Bulgaria 1.0 1.2 1.2 167 370 448 0.0 0.3 15.8 21.6<br />

Srinagar India 0.5 1.3 1.9 306 337 313 2.8 2.8 0.1 0.3<br />

St. Louis United States of America 1.9 2.4 2.9 77 172 188 1.6 1.4 0.8 0.9<br />

Stockholm 75 Sweden 1.0 1.4 1.7 158 319 354 1.8 1.2 14.7 17.2<br />

Surabaya 76 Indonesia 1.7 2.8 3.6 90 145 145 1.1 2.2 1.2 2.3<br />

Surat India 0.6 4.7 7.5 258 70 54 4.6 2.6 0.4 1.2<br />

Suweon Republic of Korea 0.2 1.2 1.3 414 373 437 1.5 0.4 2.4 2.9<br />

Suzhou, Jiangsu China 0.5 3.5 5.8 294 101 76 5.9 2.0 0.3 0.5<br />

Sydney Australia 3.0 4.5 5.6 42 72 82 1.6 1.4 20.1 22.5<br />

T<br />

Tabriz Iran (Islamic Republic of) 0.6 1.5 1.9 282 291 322 1.7 1.3 2.0 2.9<br />

Taian, Shandong China 0.1 1.3 1.8 450 339 327 3.0 2.2 0.1 0.2<br />

Taichung China 0.5 1.2 1.6 290 374 387 1.8 2.1 0.1 0.2<br />

Taipei China 2.0 2.7 3.3 71 150 168 0.6 2.0 0.2 0.4<br />

Taiyuan, Shanxi China 0.8 3.5 5.0 206 99 97 3.0 2.0 0.3 0.5<br />

Taizhou, Zhejiang China 0.6 1.4 1.8 266 326 335 1.5 2.1 0.1 0.2<br />

Tampa-St. Petersburg United States of America 1.1 2.5 3.1 147 156 181 1.6 1.3 0.8 1.0<br />

Tangshan, Hebei China 0.7 1.9 2.8 238 212 200 3.0 2.1 0.1 0.3<br />

Tarabulus (Tripoli) 77 Libya 0.6 1.1 1.5 275 392 412 1.5 1.9 17.5 22.6<br />

Tashkent Uzbekistan 1.6 2.2 2.8 100 180 195 1.0 2.2 8.0 22.2<br />

Tbilisi Georgia 1.0 1.1 1.2 162 394 451 0.3 0.3 25.9 49.0<br />

Tegucigalpa Honduras 0.3 1.1 1.7 390 409 349 3.6 3.0 14.0 26.9<br />

Tehran Iran (Islamic Republic of) 4.3 7.3 8.6 24 39 46 1.1 1.0 9.8 14.1<br />

Tel Aviv-Yafo (Tel Aviv-Jaffa) 78 Israel 1.2 3.4 4.3 132 104 121 1.9 1.4 44.7 48.7<br />

Thành Pho Ho Chí Minh (Ho Chi Minh City) Viet Nam 2.3 6.4 9.7 57 46 41 3.4 2.6 7.2 23.2<br />

Tianjin China 3.5 8.7 11.9 34 33 30 2.5 1.8 0.6 1.3<br />

Tijuana Mexico 0.4 1.8 2.5 363 224 227 3.2 1.6 1.6 2.0<br />

Tiruchirappalli India 0.5 1.0 1.5 298 445 408 2.0 2.9 0.1 0.3<br />

Tokyo Japan 26.6 37.2 38.7 1 1 1 0.7 0.0 29.4 32.2<br />

Toluca de Lerdo Mexico 0.3 1.7 2.3 385 237 250 2.5 1.6 1.5 1.9<br />

Torino (Turin) Italy 1.8 1.6 1.7 83 262 347 -0.2 0.8 2.7 3.9<br />

Toronto 79 Canada 2.8 5.6 6.7 44 53 64 1.5 1.2 16.2 20.1<br />

Torreón Mexico 0.6 1.2 1.6 285 347 375 2.0 1.7 1.1 1.4<br />

U<br />

Ufa Russian Federation 0.9 1.1 1.1 190 421 453 0.3 0.6 0.7 1.0<br />

Ujung Pandang 80 Indonesia 0.5 1.4 2.0 303 318 292 3.0 2.3 0.6 1.1<br />

Ulaanbaatar Mongolia 0.4 1.2 1.8 361 366 328 3.9 2.5 42.3 61.7<br />

Ulsan 81 Republic of Korea 0.2 1.1 1.2 402 404 447 1.1 0.4 2.3 2.7<br />

Ürümqi (Wulumqi) China 0.7 3.1 5.1 229 119 94 5.2 2.0 0.2 0.5<br />

V<br />

Vadodara India 0.6 1.8 2.6 279 222 214 2.1 2.7 0.1 0.5<br />

Valencia Venezuela (Bolivarian Republic of) 0.5 1.9 2.4 287 217 232 2.3 1.7 6.3 6.8<br />

Vancouver 82 Canada 1.2 2.3 2.8 137 178 202 1.4 1.4 6.6 8.2<br />

Varanasi (Benares) India 0.7 1.4 2.0 243 307 285 1.9 2.8 0.1 0.4<br />

Vereeniging South Africa 0.4 1.2 1.5 353 357 393 2.0 1.6 2.4 3.8<br />

Vijayawada India 0.4 1.5 2.4 335 290 243 3.8 2.8 0.1 0.4<br />

Virginia Beach United States of America 1.0 1.6 2.0 161 254 293 1.7 1.4 0.5 0.6<br />

Visakhapatnam India 0.5 1.7 2.6 321 238 217 2.7 2.8 0.1 0.4<br />

Volgograd Russian Federation 0.9 1.0 1.1 192 446 455 0.2 0.6 0.7 1.0<br />

W<br />

Warszawa (Warsaw) Poland 1.4 1.7 1.8 112 240 325 0.4 0.6 4.5 7.4<br />

Washington, D.C. United States of America 2.6 4.7 5.7 46 69 81 1.5 1.2 1.5 1.8<br />

Weifang China 0.3 1.8 2.5 380 236 221 3.1 2.1 0.1 0.3<br />

Wenzhou China 0.9 2.7 4.0 203 148 130 3.6 2.0 0.2 0.4<br />

West Yorkshire 83 United Kingdom 1.6 1.6 1.9 99 255 307 1.2 1.2 2.6 3.3<br />

Wien (Vienna) Austria 1.6 1.7 1.9 105 241 305 0.7 1.0 20.4 30.2<br />

Wuhan China 2.3 9.2 12.7 59 28 26 2.8 1.8 0.7 1.3<br />

Wuhu, Anhui China 0.3 1.2 2.1 386 343 272 5.8 2.2 0.1 0.2<br />

Wuxi, Jiangsu China 0.7 3.4 5.1 241 107 91 4.2 2.0 0.2 0.5<br />

X<br />

Xi'an, Shaanxi China 1.1 5.0 6.9 152 64 63 2.7 1.9 0.4 0.7<br />

Xiamen China 0.4 2.9 4.9 322 136 102 5.9 2.1 0.2 0.4<br />

Xiangyang China 0.2 1.6 2.2 411 274 265 2.4 2.1 0.1 0.2<br />

Xianyang, Shaanxi China 0.2 1.0 1.5 412 434 409 2.5 2.2 0.1 0.2<br />

Xining China 0.4 1.2 1.8 354 349 334 3.4 2.2 0.1 0.2<br />

Xinxiang China 0.3 1.0 1.5 371 433 396 2.9 2.2 0.1 0.2<br />

Xuzhou China 0.6 2.2 3.5 272 179 160 4.3 2.1 0.2 0.3<br />

Y<br />

Yancheng, Jiangsu China 0.2 1.3 1.9 427 330 308 3.1 2.2 0.1 0.2<br />

Yangon Myanmar 2.2 4.5 6.3 64 75 67 2.5 2.4 9.2 28.2<br />

Yangzhou China 0.3 1.6 2.2 394 268 257 2.5 2.1 0.1 0.2<br />

Yantai China 0.2 1.6 2.1 406 276 270 2.2 2.1 0.1 0.2<br />

Yaoundé Cameroon 0.3 2.4 4.0 389 165 133 4.3 3.1 12.1 23.3<br />

Yekaterinburg Russian Federation 1.1 1.4 1.5 141 325 410 0.6 0.5 0.9 1.3<br />

Yerevan Armenia 0.9 1.1 1.2 183 399 443 0.5 0.8 36.0 56.2<br />

Yinchuan China 0.2 1.1 1.9 418 397 314 5.8 2.3 0.1 0.2<br />

Yueyang China 0.1 1.2 1.7 445 365 358 2.6 2.2 0.1 0.2<br />

Z<br />

Zaozhuang China 0.2 1.2 1.8 415 353 342 3.0 2.2 0.1 0.2<br />

Zhangjiakou China 0.4 1.1 1.5 347 416 389 2.8 2.2 0.1 0.2<br />

Zhanjiang China 0.3 1.0 1.5 382 438 402 2.7 2.2 0.1 0.2<br />

Zhengzhou China 0.6 4.0 6.0 254 82 71 4.1 2.0 0.3 0.6<br />

Zhenjiang, Jiangsu China 0.3 1.0 1.6 398 430 379 3.8 2.2 0.1 0.2<br />

Zhongshan China 0.2 2.9 4.7 422 138 107 5.6 2.1 0.2 0.4<br />

Zhuhai China 0.0 1.4 2.0 454 314 300 2.7 2.1 0.1 0.2<br />

Zhuzhou China 0.3 1.0 1.5 400 431 411 2.3 2.2 0.1 0.2<br />

Zibo China 0.4 2.5 3.5 327 158 154 2.6 2.0 0.2 0.4<br />

Zürich (Zurich) Switzerland 0.7 1.2 1.4 232 361 426 1.0 1.0 15.5 21.0<br />

A translation table listing alternative English city names<br />

to the corresponding names in the original<br />

language is shown on the back of this wallchart.<br />

Urban Agglomerations 2011<br />

United Nations Department of Economic and Social Affairs Population Division www.unpopulation.org<br />

Footnotes appear on reverse side.<br />

Distribution of population by size of urban settlement and major area<br />

10 million or more<br />

1 – 5 million<br />

0.5 – 1 million<br />

Fewer than 0.5 million<br />

5 – 10 million<br />

More developed regions<br />

World<br />

Other less developed regions<br />

Least developed countries<br />

0%<br />

20%<br />

40%<br />

60%<br />

80%<br />

100%<br />

1950<br />

1955<br />

1960<br />

1965<br />

1970<br />

1975<br />

1980<br />

1985<br />

1990<br />

1995<br />

2000<br />

2005<br />

2010<br />

2015<br />

2020<br />

2025<br />

0%<br />

20%<br />

40%<br />

60%<br />

80%<br />

100%<br />

1950<br />

1955<br />

1960<br />

1965<br />

1970<br />

1975<br />

1980<br />

1985<br />

1990<br />

1995<br />

2000<br />

2005<br />

2010<br />

2015<br />

2020<br />

2025<br />

0%<br />

20%<br />

40%<br />

60%<br />

80%<br />

100%<br />

1950<br />

1955<br />

1960<br />

1965<br />

1970<br />

1975<br />

1980<br />

1985<br />

1990<br />

1995<br />

2000<br />

2005<br />

2010<br />

2015<br />

2020<br />

2025<br />

0%<br />

20%<br />

40%<br />

60%<br />

80%<br />

100%<br />

1950<br />

1955<br />

1960<br />

1965<br />

1970<br />

1975<br />

1980<br />

1985<br />

1990<br />

1995<br />

2000<br />

2005<br />

2010<br />

2015<br />

2020<br />

2025<br />

Distribution of population by size of urban settlement for the world and development groups<br />

10 million or more<br />

1 – 5 million 0.5 – 1 million Fewer than 0.5 million<br />

5 – 10 million<br />

Africa<br />

0%<br />

10%<br />

20%<br />

30%<br />

40%<br />

50%<br />

60%<br />

70%<br />

80%<br />

1950<br />

1955<br />

1960<br />

1965<br />

1970<br />

1975<br />

1980<br />

1985<br />

1990<br />

1995<br />

2000<br />

2005<br />

2010<br />

2015<br />

2020<br />

2025<br />

Asia<br />

0%<br />

10%<br />

20%<br />

30%<br />

40%<br />

50%<br />

60%<br />

70%<br />

80%<br />

1950<br />

1955<br />

1960<br />

1965<br />

1970<br />

1975<br />

1980<br />

1985<br />

1990<br />

1995<br />

2000<br />

2005<br />

2010<br />

2015<br />

2020<br />

2025<br />

Latin America and the Caribbean<br />

0%<br />

10%<br />

20%<br />

30%<br />

40%<br />

50%<br />

60%<br />

70%<br />

80%<br />

1950<br />

1955<br />

1960<br />

1965<br />

1970<br />

1975<br />

1980<br />

1985<br />

1990<br />

1995<br />

2000<br />

2005<br />

2010<br />

2015<br />

2020<br />

2025<br />

Europe<br />

0%<br />

10%<br />

20%<br />

30%<br />

40%<br />

50%<br />

60%<br />

70%<br />

80%<br />

1950<br />

1955<br />

1960<br />

1965<br />

1970<br />

1975<br />

1980<br />

1985<br />

1990<br />

1995<br />

2000<br />

2005<br />

2010<br />

2015<br />

2020<br />

2025<br />

Oceania<br />

0%<br />

10%<br />

20%<br />

30%<br />

40%<br />

50%<br />

60%<br />

70%<br />

80%<br />

1950<br />

1955<br />

1960<br />

1965<br />

1970<br />

1975<br />

1980<br />

1985<br />

1990<br />

1995<br />

2000<br />

2005<br />

2010<br />

2015<br />

2020<br />

2025<br />

Northern America<br />

0%<br />

10%<br />

20%<br />

30%<br />

40%<br />

50%<br />

60%<br />

70%<br />

80%<br />

1950<br />

1955<br />

1960<br />

1965<br />

1970<br />

1975<br />

1980<br />

1985<br />

1990<br />

1995<br />

2000<br />

2005<br />

2010<br />

2015<br />

2020<br />

2025<br />

12-33758_urban agglomerations wallchart-PRINT.pdf 1<br />

12-33758_urban agglomerations wallchart-PRINT.pdf 1<br />

7/30/12 8:47:13 PM<br />

7/30/12 8:47:13 PM


1970-2011<br />

Rank<br />

World’s 30 largest urban agglomerations,<br />

1975, 2011 and 2025<br />

1975<br />

Urban<br />

agglomeration<br />

Population<br />

(millions)<br />

1 Tokyo 26.6<br />

2 New York-Newark 15.9<br />

3 Ciudad de México (Mexico City) 10.7<br />

4 Osaka-Kobe 9.8<br />

5 São Paulo 9.6<br />

6 Los Angeles-Long Beach-Santa Ana 8.9<br />

7 Buenos Aires 8.7<br />

8 Paris 8.6<br />

9 Kolkata (Calcutta) 7.9<br />

10 Moskva (Moscow) 7.6<br />

11 Rio de Janeiro 7.6<br />

12 London 7.5<br />

13 Chicago 7.2<br />

14 Mumbai (Bombay) 7.1<br />

15 Seoul 6.8<br />

16 Al-Qahirah (Cairo) 6.4<br />

17 Shanghai 5.6<br />

18 Manila 5.0<br />

19 Beijing 4.8<br />

20 Jakarta 4.8<br />

21 Philadelphia 4.5<br />

22 Delhi 4.4<br />

23 Sankt Peterburg (Saint Petersburg) 4.3<br />

24 Tehran 4.3<br />

25 Karachi 4.0<br />

26 Hong Kong 3.9<br />

27 Madrid 3.9<br />

28 Detroit 3.9<br />

29 Krung Thep (Bangkok) 3.8<br />

30 Lima 3.7<br />

Growth Rate City Population, 2011<br />

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