United Nations • Department of Economic and Social Affairs • Population Division • www.unpopulation.org Urban Agglomerations 2014

Average annual 2014 population residing Average annual 2014 population residing Average annual 2014 population residing Population rate of change in agglomeration, Population rate of change in agglomeration, Population rate of change in agglomeration, (millions) Rank* (percentage) as percentage of (millions) Rank* (percentage) as percentage of (millions) Rank* (percentage) as percentage of Total Urban Total Urban Total Urban Urban agglomeration Country 1990 2014 2030 1990 2014 2030 2010–2015 2025–2030 population population Urban agglomeration Country 1990 2014 2030 1990 2014 2030 2010–2015 2025–2030 population population Urban agglomeration Country 1990 2014 2030 1990 2014 2030 2010–2015 2025–2030 population population A Hims (Homs)66 Syrian Arab Republic 0.6 1.6 2.5 404 291 245 4.0 2.1 7.3 12.7 Port-au-Prince109 Haiti 1.1 2.4 3.5 213 185 165 2.6 1.9 22.7 39.5 Abidjan Côte d'Ivoire 2.1 4.7 7.8 106 77 62 3.2 2.9 22.6 42.3 2.0 2.2 2.2 120 207 280 0.5 -0.1 1.7 1.8 Portland of America 1.2 2.0 2.3 204 229 261 1.5 0.9 0.6 0.8 Abu Zaby (Abu Dhabi) United Arab Emirates 0.3 1.1 1.6 459 424 385 5.3 1.8 11.8 13.8 Hohhot67 0.6 1.7 2.4 381 269 252 3.8 1.2 0.1 0.2 Porto110 Portugal 1.2 1.3 1.4 209 358 426 0.2 0.7 12.2 19.4 Abuja1 Nigeria 0.3 2.3 4.9 460 191 108 5.9 3.9 1.3 2.7 Hong Kong68 China, Hong Kong SAR 5.8 7.3 7.9 29 44 61 0.7 0.4 100.0 100.0 Pôrto Alegre Brazil 2.7 3.6 4.0 77 107 139 0.7 0.8 1.8 2.1 Accra Ghana 1.2 2.2 3.3 201 194 185 2.0 2.6 8.5 15.9 Houston United States of America 2.9 5.5 6.7 72 65 68 2.5 0.8 1.7 2.1 Praha (Prague) Czech Republic 1.2 1.3 1.4 199 355 428 0.8 0.5 12.1 16.6 Ad-Dammam 0.4 1.0 1.3 443 460 455 3.2 1.1 3.6 4.3 Huai'an69 China 0.3 1.9 3.0 461 242 207 5.8 1.2 0.1 0.2 Pretoria South Africa 0.9 2.0 2.7 290 225 224 4.2 1.2 3.7 5.8 Adana 0.9 1.8 2.4 292 258 258 3.2 1.2 2.3 3.2 Huainan70 China 0.7 1.3 1.7 350 350 375 1.5 1.3 0.1 0.2 Providence United States of America 1.0 1.2 1.3 252 388 452 0.1 1.0 0.4 0.5 Addis Ababa Ethiopia 1.8 3.2 5.9 128 128 85 2.1 4.4 3.3 17.3 Huambo Angola 0.3 1.2 2.5 463 385 240 5.2 4.0 5.4 12.6 Puebla 1.8 2.9 3.6 129 143 159 1.8 1.1 2.4 3.0 Adelaide2 Australia 1.1 1.2 1.5 241 368 415 0.6 1.3 5.3 5.9 -Dharwad 0.6 1.0 1.4 377 487 433 1.8 2.3 0.1 0.2 (Poona) India 2.4 5.6 8.1 86 61 57 2.9 2.1 0.4 1.4 India 0.9 1.9 2.8 283 238 217 2.7 2.2 0.2 0.5 Huizhou39 China 0.2 2.2 3.3 481 200 180 5.3 1.2 0.2 0.3 Putian111 China 0.3 1.4 2.1 464 340 295 5.6 1.3 0.1 0.2 Aguascalientes Mexico 0.6 1.0 1.3 411 482 462 2.0 1.3 0.8 1.0 India 4.2 8.7 12.8 39 38 28 3.3 2.1 0.7 2.1 Q Ahmadabad India 3.3 7.1 10.5 59 46 38 3.4 2.1 0.6 1.7 Hyderabad Pakistan 0.9 1.7 2.6 277 265 232 2.4 2.6 0.9 2.4 Qingdao112 China 2.1 4.4 5.9 107 83 81 2.9 1.1 0.3 0.6 Ahvaz Iran (Islamic Republic of) 0.7 1.2 1.6 360 392 391 2.4 1.3 1.5 2.1 I Qinhuangdao113 China 0.4 1.1 1.5 453 442 421 2.9 1.3 0.1 0.1 Al Kuwayt (Kuwait City)3 Kuwait 1.4 2.7 3.9 174 157 143 5.6 1.8 77.0 78.3 Ibadan71 Nigeria 1.7 3.1 5.5 134 135 91 2.3 3.9 1.7 3.7 Qiqihaer114 China 1.1 1.4 1.8 221 329 346 1.3 1.3 0.1 0.2 Al-Iskandariyah (Alexandria)4 Egypt 3.1 4.7 6.3 66 79 76 2.0 1.9 5.6 13.1 Incheon27 Republic of Korea 1.8 2.7 2.9 130 161 209 1.0 0.3 5.4 6.5 Qom Iran (Islamic Republic of) 0.6 1.2 1.6 373 395 396 2.6 1.3 1.5 2.1 Al-Khartum (Khartoum) Sudan 2.4 5.0 8.2 88 72 55 2.5 3.3 12.9 38.4 Indianapolis United States of America 0.9 1.6 2.0 285 287 314 1.9 1.0 0.5 0.6 Quanzhou115 China 0.2 1.3 1.9 484 342 322 4.1 1.3 0.1 0.2 Al-Madinah (Medina) Saudi Arabia 0.5 1.3 1.6 415 363 394 2.9 1.1 4.3 5.2 India 1.1 2.4 3.5 235 184 173 2.7 2.2 0.2 0.6 Querétaro Mexico 0.6 1.2 1.6 396 373 383 2.8 1.2 1.0 1.3 Al-Mawsil (Mosul) Iraq 0.7 1.6 2.6 343 284 233 3.2 2.6 4.7 6.8 Irbil (Erbil) Iraq 0.5 1.1 1.8 414 417 355 2.9 2.6 3.3 4.7 Quetta Pakistan 0.4 1.1 1.7 441 447 362 3.9 2.7 0.6 1.5 Al-Qahirah ()5 Egypt 9.9 18.4 24.5 11 10 8 2.1 1.8 22.1 51.3 Islamabad Pakistan 0.3 1.3 2.3 456 357 269 5.5 2.7 0.7 1.8 Quito Ecuador 1.1 1.7 2.2 237 274 276 1.5 1.7 10.6 16.7 Aligarh India 0.5 1.0 1.5 431 484 416 3.0 2.3 0.1 0.2 Turkey 6.6 14.0 16.7 25 15 20 2.2 0.9 18.4 25.2 R India 0.8 1.3 1.8 309 361 357 1.4 2.3 0.1 0.3 Izmir Turkey 1.7 3.0 3.7 133 141 156 2.0 1.1 3.9 5.4 Rabat116 Morocco 1.2 1.9 2.6 208 235 235 1.8 1.5 5.8 9.7 Almaty Kazakhstan 1.1 1.5 1.7 242 313 364 1.7 0.9 9.1 17.1 J India 0.5 1.3 2.1 434 348 292 4.7 2.3 0.1 0.3 Amman6 Jordan 0.9 1.1 1.4 305 410 447 0.8 1.6 15.3 18.3 India 0.9 1.3 1.8 297 346 348 1.2 2.2 0.1 0.3 India 0.6 1.6 2.3 378 302 264 3.2 2.2 0.1 0.4 India 0.7 1.2 1.7 347 367 366 1.5 2.3 0.1 0.3 Jacksonville, Florida United States of America 0.7 1.2 1.4 340 407 435 1.8 1.0 0.4 0.4 Raleigh United States of America 0.3 1.1 1.5 465 434 405 4.8 1.0 0.3 0.4 Amsterdam 0.9 1.1 1.2 281 439 470 0.6 0.5 6.4 7.2 India 1.5 3.4 4.9 162 120 110 2.7 2.2 0.3 0.8 India 0.6 1.2 1.8 388 374 349 2.6 2.3 0.1 0.3 Ankara7 Turkey 2.6 4.6 5.9 82 80 83 2.6 1.1 6.1 8.4 Jakarta72 8.2 10.2 13.8 17 28 25 1.4 1.9 4.0 7.6 Rawalpindi Pakistan 1.1 2.4 3.8 238 181 149 3.3 2.6 1.3 3.4 Anshan8 China 1.2 1.5 1.9 193 305 332 0.8 1.3 0.1 0.2 India 0.8 1.4 2.0 315 330 309 1.9 2.2 0.1 0.3 Recife Brazil 2.7 3.7 4.2 79 100 133 1.0 0.8 1.8 2.1 Antalya Turkey 0.4 1.0 1.4 451 459 439 3.3 1.3 1.4 1.9 Jiangmen73 China 0.2 1.6 1.9 482 301 318 1.6 1.3 0.1 0.2 Richmond United States of America 0.7 1.0 1.2 357 477 469 1.5 1.0 0.3 0.4 Antananarivo Madagascar 0.9 2.5 5.1 279 175 101 5.1 4.1 10.5 30.6 Jiddah Saudi Arabia 1.7 4.0 5.0 132 92 105 3.3 0.9 13.6 16.4 Brazil 9.7 12.8 14.2 13 17 23 0.8 0.6 6.3 7.4 74 Anyang9 China 0.4 1.1 1.6 442 436 380 4.9 1.3 0.1 0.1 Jilin China 1.1 1.5 1.9 232 314 337 0.9 1.3 0.1 0.2 Riverside-San Bernardino United States of America 1.2 2.1 2.7 206 210 229 2.4 0.9 0.7 0.8 75 Ar-Riyadh (Riyadh) Saudi Arabia 2.3 6.2 7.9 92 52 58 4.0 0.8 21.1 25.4 Ji'nan,Shandong China 1.9 3.9 5.2 122 95 97 2.9 1.1 0.3 0.5 Rizhao117 China 0.2 1.0 1.4 473 470 427 3.5 1.3 0.1 0.1 India 0.7 1.3 1.8 346 356 354 1.3 2.2 0.1 0.3 Jining, Shandong76 China 0.9 1.4 1.7 300 338 365 1.4 1.3 0.1 0.2 Roma (Rome)97 Italy 3.4 3.7 3.8 54 102 148 0.7 0.1 6.1 8.8 77 Asunción10 Paraguay 1.1 2.3 3.1 231 190 192 2.9 1.8 33.4 56.1 Jinzhou China 0.6 1.0 1.3 395 478 456 1.9 1.3 0.1 0.1 Rosario118 Argentina 1.1 1.4 1.6 240 339 386 1.2 1.0 3.3 3.6

Athínai (Athens)11 Greece 3.1 3.1 3.2 64 136 189 -0.3 0.3 27.5 35.4 JoãoPessoa Brazil 0.7 1.1 1.3 371 443 459 1.7 1.0 0.5 0.6 Rostov-na-Donu (Rostov-on-Don) Russian Federation 1.0 1.1 1.1 260 430 480 0.1 0.1 0.8 1.0 Atlanta United States of America 2.2 5.0 6.1 101 71 79 2.5 0.8 1.6 1.9 India 0.7 1.3 1.8 369 365 340 2.8 2.3 0.1 0.3 S Auckland12 New Zealand 0.9 1.3 1.6 301 345 392 1.1 0.9 29.2 33.8 South Africa 3.7 9.2 11.6 48 35 34 3.2 1.0 17.3 26.9 Sacramento United States of America 1.1 1.9 2.3 223 244 268 2.1 0.9 0.6 0.7 India 0.6 1.3 1.9 403 351 323 2.8 2.3 0.1 0.3 Joinville Brazil 0.6 1.2 1.5 391 387 424 1.8 0.9 0.6 0.7 Salt Lake City United States of America 0.8 1.1 1.3 320 438 463 1.3 1.0 0.3 0.4 Austin United States of America 0.6 1.6 2.2 402 286 286 4.0 1.0 0.5 0.6 K Salvador Brazil 2.3 3.5 4.1 90 110 138 1.4 0.8 1.8 2.1 B Kabul Afghanistan 1.5 4.4 8.3 156 84 54 4.4 3.6 14.2 54.0 Samara Russian Federation 1.2 1.2 1.2 189 398 477 0.0 0.1 0.8 1.1 Iraq 4.1 6.5 9.7 41 50 45 2.4 2.4 18.6 26.9 Kaduna Nigeria 0.8 1.0 1.7 321 466 359 1.2 3.9 0.6 1.2 Samut Prakan Thailand 0.1 1.7 3.1 485 283 191 10.1 1.3 2.5 5.0

Baixada Santista Brazil 1.1 1.5 1.8 228 307 353 1.0 0.9 0.8 0.9 Kampala Uganda 0.8 1.9 3.9 335 251 141 3.9 5.1 4.8 30.4 SanAntonio United States of America 1.1 2.0 2.5 214 227 243 2.7 0.9 0.6 0.8

Baku13 Azerbaijan 1.7 2.3 3.0 135 189 203 2.8 1.1 24.4 44.8 Kananga Democratic Republic of the Congo 0.4 1.1 2.1 448 422 302 4.4 3.5 1.6 3.8 SanDiego United States of America 2.4 3.1 3.5 89 134 166 0.9 0.9 1.0 1.2 Baltimore United States of America 1.8 2.3 2.5 125 192 237 0.5 0.9 0.7 0.9 India 0.4 2.0 3.5 438 222 167 6.2 2.2 0.2 0.5 San Francisco-Oakland United States of America 3.0 3.3 3.6 70 122 161 0.1 0.9 1.0 1.3 78 Bamako Mali 0.7 2.4 5.2 337 183 98 5.3 4.5 15.1 38.7 Kano Nigeria 2.1 3.5 6.2 110 112 77 2.2 3.9 2.0 4.2 San Jose United States of America 1.4 1.7 2.0 178 270 313 0.7 1.0 0.5 0.7 Bandung Indonesia 2.0 2.5 3.4 114 173 175 1.2 2.0 1.0 1.9 India 2.0 3.0 3.9 119 139 140 0.8 2.2 0.2 0.7 San José119 Costa Rica 0.7 1.2 1.5 341 403 417 0.8 1.5 23.5 30.9

Bangalore India 4.0 9.7 14.8 42 31 21 4.0 2.0 0.8 2.4 KansasCity United States of America 1.2 1.6 1.8 194 296 339 1.0 1.0 0.5 0.6 San Juan120 Puerto Rico 2.3 2.5 2.5 91 177 246 -0.1 0.0 67.0 71.5

Baoding14 China 0.5 1.1 1.4 429 432 440 1.4 1.3 0.1 0.1 Kaohsiung China 1.4 1.5 1.8 179 309 347 0.1 1.3 0.1 0.2 SanLuisPotosí Mexico 0.7 1.1 1.4 365 418 431 1.9 1.2 0.9 1.2 121 Baotou15 China 1.0 1.9 2.5 254 236 242 2.2 1.2 0.1 0.3 Pakistan 7.1 16.1 24.8 22 12 7 3.3 2.4 8.7 22.7 SanSalvador El Salvador 1.0 1.1 1.3 273 431 466 0.2 1.0 17.2 25.9 122 Barcelona Spain 4.1 5.2 5.7 40 69 89 1.3 0.3 11.1 13.9 Karaj Iran (Islamic Republic of) 0.8 1.8 2.4 336 262 254 3.1 1.3 2.2 3.1 Sana'a' Yemen 0.7 2.8 5.1 370 154 102 5.1 3.1 11.3 33.3 79 Bareilly India 0.6 1.1 1.6 390 441 387 2.9 2.3 0.1 0.3 Kathmandu Nepal 0.4 1.1 1.9 445 415 336 3.9 2.7 4.1 22.3 SanktPeterburg(SaintPetersburg) Russian Federation 5.0 5.0 5.0 32 73 106 0.5 -0.2 3.5 4.7

Barquisimeto Venezuela (Bolivarian Republic of) 0.7 1.0 1.2 339 467 468 0.4 1.3 3.4 3.8 Kazan Russian Federation 1.1 1.2 1.2 229 401 475 0.3 0.1 0.8 1.1 SantaCruz Bolivia (Plurinational State of) 0.6 2.0 3.0 386 220 200 4.5 1.8 18.7 27.5 123 Barranquilla Colombia 1.2 2.0 2.4 195 230 255 1.4 1.2 4.0 5.3 Kharkiv Ukraine 1.6 1.4 1.4 151 328 437 -0.2 -0.2 3.2 4.6 Santiago Chile 4.6 6.5 7.1 36 51 64 0.7 0.5 36.4 40.8 124 Batam Indonesia 0.1 1.3 2.5 487 360 244 8.0 2.1 0.5 1.0 Khulna Bangladesh 1.0 1.0 1.3 271 465 450 -1.4 2.6 0.7 1.9 SantoDomingo Dominican Republic 1.5 2.9 3.9 160 148 144 2.5 1.3 27.3 35.0 Kigali Rwanda 0.2 1.2 2.3 478 378 271 3.7 4.1 10.1 36.3 Bayrut (Beirut)16 Lebanon 1.3 2.2 2.4 185 204 251 2.2 0.8 43.9 50.0 SãoPaulo Brazil 14.8 20.8 23.4 5 5 11 1.4 0.5 10.3 12.1 Kinki M.M.A. ()80 Japan 18.4 20.1 20.0 2 7 13 0.8 -0.4 15.8 17.0 Beijing17 China 6.8 19.5 27.7 23 8 5 4.6 0.9 1.4 2.6 Japan 2.3 2.6 2.5 93 167 238 -0.2 -0.1 2.0 2.2 Belém Brazil 1.2 2.2 2.5 205 209 239 1.5 0.8 1.1 1.2 Democratic Republic of the Congo 3.7 11.1 20.0 50 23 12 4.2 3.3 16.0 38.2 Seattle United States of America 2.2 3.2 3.7 98 126 155 1.1 0.9 1.0 1.2 Kisangani Democratic Republic of the Congo 0.4 1.0 1.8 444 488 352 3.8 3.5 1.4 3.4 Semarang Indonesia 1.2 1.6 2.2 190 289 285 0.9 2.1 0.6 1.2 Belo Horizonte Brazil 3.5 5.7 6.4 53 59 75 1.1 0.7 2.8 3.3 - M.M.A. Japan 5.3 5.5 5.4 31 63 95 -0.2 -0.3 4.4 4.7 Japan 2.0 2.1 2.0 117 214 306 -0.9 -0.1 1.7 1.8 Benin City18 Nigeria 0.7 1.5 2.7 359 327 228 2.9 3.9 0.8 1.7 København (Copenhagen)81 Denmark 1.0 1.3 1.5 257 364 423 1.2 0.8 22.2 25.4 Seoul125 Republic of Korea 10.5 9.8 10.0 9 29 43 0.0 0.1 19.7 24.0 Benxi19 China 0.8 1.1 1.3 331 452 449 1.5 1.3 0.1 0.1 (Cochin) India 1.1 2.3 3.5 224 187 172 3.0 2.2 0.2 0.6 Shanghai126 China 7.8 23.0 30.8 20 3 3 3.4 0.9 1.6 3.0 Beograd (Belgrade)20 Serbia 1.1 1.2 1.2 217 393 472 0.4 0.1 12.5 22.5 (Calcutta) India 10.9 14.8 19.1 7 14 15 0.8 2.0 1.2 3.6 127 Berlin Germany 3.4 3.5 3.7 56 109 157 0.5 0.0 4.3 5.7 Shantou China 0.7 3.9 4.9 349 96 109 1.7 1.1 0.3 0.5 India 0.3 1.3 2.2 454 343 273 5.5 2.3 0.1 0.3 128 India 1.0 2.1 3.0 253 218 205 2.5 2.2 0.2 0.5 Shaoxing China 0.5 2.0 2.8 417 224 213 4.0 1.2 0.1 0.3 Köln (Cologne) Germany 0.9 1.0 1.1 276 468 481 0.6 0.3 1.2 1.7 Sharjah United Arab Emirates 0.2 1.2 1.9 475 375 330 6.6 1.8 13.0 15.3 Birmingham (West Midlands)21 2.3 2.5 2.8 94 174 216 0.7 0.7 3.9 4.8 Konya Turkey 0.5 1.2 1.5 419 402 400 3.2 1.3 1.5 2.1 Shenyang129 China 3.7 6.2 7.9 51 53 59 2.1 1.1 0.4 0.8 Bogor Indonesia 0.6 1.0 1.5 392 455 403 2.4 2.1 0.4 0.8 Kota India 0.5 1.1 1.7 418 421 371 3.5 2.3 0.1 0.3 Shenzhen130 China 0.9 10.7 12.7 298 26 29 1.0 1.0 0.8 1.4 Bogotá22 Colombia 4.7 9.6 12.0 34 33 32 2.8 1.0 19.5 25.6 (Calicut) India 0.8 2.4 3.8 322 186 152 4.6 2.2 0.2 0.6 Shijiazhuang131 China 1.4 3.2 4.4 180 129 127 3.5 1.2 0.2 0.4 Boston United States of America 3.4 4.2 4.7 55 87 117 0.3 0.8 1.3 1.6 Krasnoyarsk Russian Federation 0.9 1.0 1.0 291 486 486 0.7 0.2 0.7 1.0 Shiraz Iran (Islamic Republic of) 0.9 1.6 2.2 282 290 275 3.5 1.3 2.0 2.8 Brasília23 Brazil 1.9 4.1 4.9 124 91 107 2.3 0.7 2.0 2.4 Krung Thep () Thailand 5.9 9.1 11.5 27 36 35 2.4 1.0 13.5 27.5 - M.M.A. Japan 1.0 3.2 3.9 266 124 142 4.2 -0.2 2.6 2.7 Congo 0.7 1.8 3.0 355 254 201 3.6 2.9 40.1 61.7 Kuala Lumpur82 Malaysia 2.1 6.6 9.4 109 49 48 3.3 1.6 22.0 29.7 Singapore Singapore 3.0 5.5 6.6 69 64 73 2.0 0.8 100.0 100.0 Brisbane24 Australia 1.4 2.2 2.7 176 206 221 1.6 1.2 9.2 10.3 Kumasi Ghana 0.7 2.5 4.2 358 176 134 5.1 2.6 9.4 17.6 Sofia Bulgaria 1.2 1.2 1.2 203 379 467 0.4 -0.2 17.0 23.2 Bruxelles-Brussel25 Belgium 1.7 2.0 2.2 139 221 282 0.9 0.3 18.2 18.6 Kunming83 China 1.1 3.7 4.8 225 101 113 2.3 1.1 0.3 0.5 India 0.7 1.4 2.0 344 334 305 2.7 2.2 0.1 0.3 Bucaramanga Colombia 0.7 1.2 1.5 372 389 414 2.2 1.3 2.4 3.2 Kyiv (Kiev) Ukraine 2.6 2.9 3.0 81 145 197 0.9 -0.1 6.5 9.3 St. Louis United States of America 1.9 2.2 2.4 121 202 253 0.3 0.9 0.7 0.8 Bucuresti (Bucharest) Romania 2.0 1.9 1.9 113 249 321 -0.2 0.2 8.6 15.9 L Stockholm132 Sweden 1.0 1.5 1.8 256 323 356 1.8 0.9 15.2 17.7 Budapest Hungary 2.0 1.7 1.8 118 272 344 -0.2 0.4 17.3 24.4 La Habana (Havana) Cuba 2.1 2.1 2.1 105 211 297 -0.3 0.0 19.1 24.8 Surabaya Indonesia 2.5 2.8 3.8 85 153 153 0.6 2.0 1.1 2.1 Buenos Aires26 Argentina 10.5 15.0 17.0 10 13 18 1.3 0.6 35.9 39.2 La Paz Bolivia (Plurinational State of) 1.1 1.8 2.3 247 257 266 1.7 1.8 16.6 24.4 India 1.5 5.4 8.6 166 66 52 4.8 2.1 0.4 1.3 Bursa Turkey 0.8 1.9 2.5 314 250 247 3.2 1.2 2.5 3.4 Lagos84 Nigeria 4.8 12.6 24.2 33 19 9 3.9 3.8 7.1 15.1 Suweon27 Republic of Korea 0.6 1.1 1.2 385 433 473 0.5 0.5 2.2 2.7 Busan27 Republic of Korea 3.8 3.2 3.3 47 125 184 -0.7 0.3 6.5 7.9 Pakistan 4.0 8.5 13.0 44 39 27 3.1 2.5 4.6 12.0 Suzhou, Jiangsu133 China 1.1 5.2 8.1 246 70 56 6.3 1.1 0.4 0.7 C Lanzhou85 China 1.3 2.7 3.5 186 159 170 2.4 1.2 0.2 0.4 Sydney134 Australia 3.6 4.5 5.3 52 81 96 0.6 1.1 18.9 21.2 Calgary28 Canada 0.7 1.3 1.6 342 352 382 2.3 1.0 3.7 4.5 Las Vegas United States of America 0.7 2.2 2.9 352 201 211 3.5 0.9 0.7 0.8 T Cali Colombia 1.6 2.6 3.2 155 166 186 1.9 1.2 5.3 7.0 León de los Aldamas Mexico 1.0 1.8 2.3 270 260 272 2.3 1.2 1.4 1.8 Tabriz Iran (Islamic Republic of) 1.1 1.6 1.9 248 304 319 1.4 1.3 2.0 2.7 Campinas Brazil 1.7 3.0 3.6 140 138 163 1.7 0.8 1.5 1.7 Lianyungang86 China 0.3 1.1 1.5 455 454 401 4.4 1.3 0.1 0.1 Taian, Shandong135 China 0.4 1.2 1.5 452 386 404 1.8 1.3 0.1 0.2 Can Tho Viet Nam 0.2 1.1 1.9 476 426 328 6.5 2.1 1.2 3.6 Lille 1.0 1.0 1.1 272 473 478 0.2 0.8 1.6 2.0 Taichung China 0.8 1.2 1.5 328 383 407 1.4 1.3 0.1 0.2 Cape Town South Africa 2.2 3.6 4.3 103 106 131 1.8 1.1 6.8 10.6 Lima87 Peru 5.8 9.7 12.2 28 30 30 2.0 1.2 31.6 40.4 China 2.7 2.7 3.1 76 158 194 0.1 1.2 0.2 0.4 Caracas29 Venezuela (Bolivarian Republic of) 2.8 2.9 3.3 75 146 179 0.1 1.1 9.4 10.6 Linyi, Shandong88 China 0.3 1.7 2.2 472 282 281 2.4 1.3 0.1 0.2 Taiyuan, Shanxi136 China 1.6 3.4 4.4 147 117 124 2.1 1.1 0.2 0.5 Cartagena Colombia 0.6 1.1 1.4 408 446 441 2.5 1.3 2.2 2.9 Lisboa (Lisbon)89 Portugal 2.5 2.9 3.2 83 149 187 0.5 0.5 27.0 43.0 Taizhou, Jiangsu137 China 0.2 1.2 1.5 474 404 402 2.5 1.3 0.1 0.2 India 0.6 1.1 1.6 405 425 388 2.3 2.3 0.1 0.3 Liuzhou90 China 0.6 1.6 2.1 379 298 291 3.0 1.3 0.1 0.2 Taizhou, Zhejiang138 China 0.3 1.6 2.2 471 292 284 3.1 1.3 0.1 0.2 Changchun30 China 2.2 3.7 4.7 100 103 116 2.1 1.1 0.3 0.5 London91 United Kingdom 8.1 10.2 11.5 18 27 36 1.2 0.5 16.0 19.5 Tampa-St. Petersburg United States of America 1.7 2.6 3.1 138 165 195 1.6 0.9 0.8 1.0 Changsha31 China 1.1 3.6 5.0 234 105 104 3.5 1.1 0.3 0.5 -Long Beach-Santa Ana United States of America 10.9 12.3 13.3 8 20 26 0.2 0.6 3.8 4.7 Tangshan, Hebei139 China 1.0 2.6 3.8 268 163 150 4.4 1.2 0.2 0.3 Changwon32 Republic of Korea 0.9 1.0 1.1 284 461 482 -0.4 0.5 2.1 2.6 Louisville United States of America 0.8 1.0 1.2 332 475 471 1.1 1.0 0.3 0.4 Tarabulus (Tripoli) Libya 0.9 1.1 1.3 302 420 451 0.6 1.3 18.0 23.0 Changzhou, Jiangsu33 China 0.7 2.5 3.4 345 172 177 2.9 1.2 0.2 0.3 Angola 1.4 5.3 10.4 175 68 39 4.0 3.9 23.9 55.2 Tashkent Uzbekistan 2.1 2.2 2.8 108 196 214 0.4 1.8 7.6 21.1 Chaozhou34 China 0.3 1.3 1.6 458 347 378 1.6 1.3 0.1 0.2 Lubumbashi Democratic Republic of the Congo 0.7 1.9 3.5 351 234 169 4.1 3.4 2.8 6.6 Tbilisi Georgia 1.2 1.1 1.1 197 408 479 0.4 -0.1 26.6 49.7 Charlotte United States of America 0.5 1.5 2.2 433 306 287 4.9 1.0 0.5 0.6 India 1.6 3.2 4.5 150 130 122 2.4 2.2 0.2 0.8 Tegucigalpa Honduras 0.6 1.1 1.6 400 427 384 2.6 2.5 13.3 24.6 Chelyabinsk Russian Federation 1.1 1.2 1.2 218 405 474 0.5 0.1 0.8 1.1 India 1.0 1.7 2.3 265 277 265 1.4 2.2 0.1 0.4 Iran (Islamic Republic of) 6.4 8.4 10.0 26 40 42 0.9 1.0 10.6 14.6 Chengdu35 China 3.0 7.3 10.1 71 43 41 3.8 1.0 0.5 1.0 Luoyang92 China 0.7 2.0 2.7 348 231 226 3.3 1.2 0.1 0.3 Tel Aviv-Yafo (Tel Aviv-Jaffa)63 Israel 2.1 3.6 4.4 112 108 125 1.7 1.1 45.5 49.4 (Madras) India 5.3 9.6 13.9 30 32 24 3.0 2.0 0.8 2.3 Lusaka Zambia 0.8 2.1 4.4 333 216 126 4.7 4.5 13.8 34.2 Thành Pho Ho Chí Minh (Ho Chi Minh Viet Nam 3.0 7.1 10.2 67 47 40 3.3 1.9 7.7 23.3 United States of America 7.4 8.7 9.5 21 37 46 0.3 0.7 2.7 3.3 Lyon France 1.4 1.6 1.8 181 294 343 0.7 0.7 2.5 3.1 City) Chittagong Bangladesh 2.0 4.4 6.7 116 82 69 2.0 2.5 2.8 8.4 M India 0.8 1.9 2.9 319 240 210 3.5 2.2 0.1 0.5 36 China 4.0 12.9 17.4 43 16 17 3.4 1.0 0.9 1.7 Maceió Brazil 0.7 1.2 1.5 366 370 412 1.8 0.9 0.6 0.7 India 0.6 2.2 3.7 397 198 158 5.3 2.2 0.2 0.5

ChukyoM.M.A.() Japan 8.4 9.4 9.3 16 34 49 0.5 -0.3 7.4 7.9 Madrid Spain 4.4 6.1 6.7 38 54 70 1.4 0.3 13.0 16.4 Tianjin140 China 4.6 10.9 14.7 37 24 22 3.4 1.0 0.8 1.4 Cincinnati United States of America 1.3 1.7 1.9 183 281 324 0.7 1.0 0.5 0.6 India 1.1 1.6 2.2 245 299 283 2.0 2.2 0.1 0.4 Tijuana Mexico 0.8 1.9 2.5 316 232 241 2.5 1.2 1.6 2.0

CiudaddeGuatemala(GuatemalaCity) Guatemala 1.4 2.8 4.7 168 151 118 2.4 3.2 18.0 35.1 Makassar (Ujung Pandang) Indonesia 0.9 1.5 2.1 293 325 298 2.2 2.1 0.6 1.1 India 0.7 1.1 1.5 354 437 408 1.8 2.3 0.1 0.3 37 CiudaddeMéxico(MexicoCity) Mexico 15.6 20.8 23.9 4 4 10 0.8 0.8 16.8 21.3 Makkah (Mecca) Saudi Arabia 0.9 1.7 2.1 303 264 289 2.8 1.0 5.9 7.2 India 0.3 1.2 2.0 468 399 311 5.7 2.3 0.1 0.3 38 CiudaddePanamá(PanamaCity) Panama 0.8 1.6 2.2 306 285 278 2.1 1.7 41.7 62.9 India 0.4 2.1 3.6 437 215 162 6.1 2.2 0.2 0.5 Tokyo141 Japan 32.5 37.8 37.2 1 1 1 0.6 -0.4 29.8 32.0

CiudadJuárez Mexico 0.8 1.4 1.6 317 335 377 0.8 1.2 1.1 1.4 Manaus Brazil 1.0 2.0 2.5 274 226 249 2.5 0.9 1.0 1.1 Toluca de Lerdo Mexico 1.1 2.1 2.7 220 212 225 2.2 1.2 1.7 2.2 39 Cixi China 0.2 1.2 1.8 479 366 341 4.4 1.3 0.1 0.2 Manchester93 United Kingdom 2.3 2.6 3.0 95 164 204 0.8 0.7 4.1 5.0 Torino (Turin) 97 Italy 1.8 1.8 1.8 131 261 342 0.3 0.2 2.9 4.2 Cleveland United States of America 1.7 1.8 1.9 144 259 317 -0.1 0.9 0.6 0.7 Mandalay Myanmar 0.6 1.1 1.7 380 416 376 2.4 2.1 2.1 6.3 Toronto28 Canada 3.8 5.9 7.0 46 56 65 1.7 0.7 16.6 20.3 Cochabamba Bolivia (Plurinational State of) 0.5 1.2 1.7 425 384 372 3.5 1.8 11.1 16.3 Manila94 Philippines 8.0 12.8 16.8 19 18 19 1.7 1.9 12.8 28.7 Torreón Mexico 0.9 1.3 1.6 296 349 379 1.8 1.2 1.1 1.3 India 1.1 2.5 3.8 236 179 151 3.9 2.2 0.2 0.6 Maputo Mozambique 0.8 1.2 1.9 326 394 329 1.0 3.9 4.4 13.9 Tunis142 Tunisia 1.5 2.0 2.3 165 228 259 0.8 1.1 17.8 26.7 Columbus, Ohio United States of America 0.9 1.5 1.8 278 322 351 1.8 1.0 0.5 0.6 Maracaibo Venezuela (Bolivarian Republic of) 1.3 2.2 2.7 184 208 227 1.5 1.2 7.0 7.9 U Conakry Guinea 0.9 1.9 3.1 294 245 193 3.0 3.3 15.7 42.7 Maracay Venezuela (Bolivarian Republic of) 0.8 1.1 1.4 329 414 425 1.8 1.3 3.7 4.2 Ufa Russian Federation 1.1 1.1 1.1 244 445 483 0.2 0.1 0.8 1.0 Córdoba40 Argentina 1.2 1.5 1.7 200 316 367 0.7 0.9 3.6 3.9 Marrakech Morocco 0.6 1.1 1.6 398 428 393 3.0 1.6 3.3 5.5 Ulaanbaatar Mongolia 0.6 1.3 1.8 401 344 338 3.8 1.3 46.3 65.0 Curitiba Brazil 1.8 3.4 4.1 126 118 137 2.2 0.8 1.7 2.0 Marseille-Aix-en-Provence France 1.4 1.6 1.8 171 295 345 0.6 0.7 2.5 3.1 Ürümqi (Wulumqi)143 China 1.2 3.4 4.8 191 121 111 4.4 1.2 0.2 0.4 D Mashhad Iran (Islamic Republic of) 1.7 2.9 3.9 143 142 146 2.5 1.2 3.7 5.1 V Daegu27 Republic of Korea 2.2 2.3 2.3 99 193 263 -0.3 0.4 4.5 5.5 Mbuji-Mayi Democratic Republic of the Congo 0.6 1.9 3.5 375 237 164 4.6 3.4 2.8 6.6 India 1.1 1.9 2.7 227 233 222 1.9 2.2 0.2 0.5 Daejon27 Republic of Korea 1.0 1.6 1.7 259 303 370 0.9 0.4 3.1 3.8 Medan Indonesia 1.7 2.2 3.0 137 203 206 1.0 2.0 0.9 1.6 Valencia Venezuela (Bolivarian Republic of) 1.1 1.7 2.1 249 273 296 1.3 1.2 5.5 6.2 Dakar Senegal 1.4 3.4 6.0 172 119 80 3.7 3.4 23.3 53.7 Medellín Colombia 2.1 3.9 4.7 104 97 115 2.2 1.1 7.9 10.3 Vancouver28 Canada 1.6 2.4 2.9 153 180 208 1.7 0.9 6.9 8.4 41 Dalian China 1.9 4.4 5.9 123 86 86 3.0 1.1 0.3 0.6 India 0.8 1.5 2.1 312 310 290 2.0 2.2 0.1 0.4 (Benares) India 1.0 1.5 2.1 262 311 299 1.7 2.2 0.1 0.4 Dallas-Fort Worth United States of America 3.2 5.6 6.7 60 60 71 2.0 0.8 1.7 2.1 Melbourne95 Australia 3.2 4.2 5.1 61 89 103 1.2 1.1 17.6 19.7 Vereeniging South Africa 0.7 1.1 1.4 338 412 442 1.5 1.3 2.2 3.4 Daqing42 China 0.8 1.6 2.1 334 297 294 2.6 1.3 0.1 0.2 Memphis United States of America 0.8 1.1 1.3 310 429 464 0.8 1.0 0.3 0.4 India 0.8 1.7 2.6 313 276 231 3.8 2.2 0.1 0.4 Dar es Salaam United Republic of Tanzania 1.5 4.8 10.8 164 75 37 5.6 4.5 9.5 30.8 Mérida Mexico 0.6 1.0 1.3 383 456 454 1.8 1.3 0.8 1.1 Virginia Beach United States of America 1.3 1.5 1.6 188 324 381 0.3 1.0 0.5 0.6 Dar-el-Beida (Casablanca) Morocco 2.7 3.5 4.4 80 113 128 0.6 1.5 10.4 17.5 Mexicali Mexico 0.6 1.0 1.3 389 481 461 1.9 1.3 0.8 1.0 India 1.0 1.9 2.7 261 243 219 2.6 2.2 0.1 0.5 Datong43 China 0.9 1.5 2.0 287 317 310 2.5 1.3 0.1 0.2 Miami United States of America 4.0 5.8 6.6 45 58 74 1.1 0.8 1.8 2.2 Volgograd Russian Federation 1.0 1.0 1.0 267 472 487 0.0 0.2 0.7 1.0 Davao City Philippines 0.9 1.6 2.2 304 293 279 2.3 2.2 1.6 3.6 Mianyang, Sichuan96 China 0.3 1.0 1.4 469 458 444 2.1 1.3 0.1 0.1 W Delhi44 India 9.7 25.0 36.1 12 2 2 3.2 1.9 2.0 6.1 Milano (Milan)97 Italy 3.1 3.1 3.2 65 133 190 0.3 0.1 5.1 7.4 Warszawa (Warsaw) Poland 1.6 1.7 1.8 148 271 350 0.2 0.2 4.5 7.4 Denpasar Indonesia 0.2 1.0 1.9 480 463 334 6.6 2.1 0.4 0.8 Milwaukee United States of America 1.2 1.4 1.6 196 333 389 0.4 1.0 0.4 0.5 Washington, D.C. United States of America 3.4 4.9 5.7 58 74 88 1.5 0.8 1.5 1.9 Denver-Aurora United States of America 1.5 2.6 3.0 159 170 196 1.7 0.9 0.8 1.0 Minneapolis-St. Paul United States of America 2.1 2.8 3.2 111 156 188 1.0 0.9 0.9 1.1 Weifang144 China 0.6 2.1 3.0 384 213 202 3.7 1.2 0.2 0.3 Detroit United States of America 3.7 3.7 3.9 49 104 145 -0.5 0.8 1.1 1.4 Minsk13 Belarus 1.6 1.9 1.9 149 239 320 0.7 -0.2 20.5 26.8 Wenzhou145 China 1.1 3.1 4.3 222 132 129 3.8 1.2 0.2 0.4 Dhaka45 Bangladesh 6.6 17.0 27.4 24 11 6 3.6 2.4 10.7 32.0 Mombasa Kenya 0.5 1.1 2.0 427 448 312 3.2 4.0 2.3 9.3 West Yorkshire United Kingdom 1.4 1.9 2.2 167 247 274 1.7 0.7 3.0 3.6 India 0.8 1.2 1.7 318 371 374 1.1 2.3 0.1 0.3 Monrovia Liberia 1.0 1.2 2.0 255 376 304 3.6 3.1 27.8 56.5 Wien (Vienna) Austria 1.5 1.7 2.0 158 263 315 0.6 0.8 20.4 31.0 Dimashq (Damascus)46 Syrian Arab Republic 1.7 2.6 3.5 141 168 174 1.3 2.0 11.7 20.4 Monterrey Mexico 2.7 4.4 5.5 78 85 93 1.9 1.0 3.6 4.5 Wuhan146 China 3.4 7.8 9.4 57 41 47 1.0 1.0 0.6 1.0 Dongguan47 China 0.6 7.4 8.7 412 42 51 0.9 1.0 0.5 1.0 Montevideo98 Uruguay 1.5 1.7 1.9 157 275 335 0.6 0.6 49.7 52.2 Wuhu, Anhui147 China 0.4 1.4 2.1 435 341 300 5.4 1.3 0.1 0.2 Douala Cameroon 0.9 2.8 4.8 280 152 114 4.4 3.0 12.4 23.1 Montréal28 Canada 3.2 3.9 4.5 62 94 121 1.0 0.8 11.1 13.6 Wuxi, Jiangsu148 China 1.0 3.0 3.9 269 140 147 2.2 1.2 0.2 0.4 Dubayy (Dubai) United Arab Emirates 0.5 2.3 3.5 428 188 171 6.1 1.7 24.7 28.9 Moskva () Russian Federation 9.0 12.1 12.2 15 21 31 1.2 -0.3 8.5 11.5 X Dublin48 Ireland 0.9 1.2 1.5 288 406 422 1.2 1.5 24.7 39.2 Multan Pakistan 1.0 1.9 2.9 275 248 212 2.7 2.6 1.0 2.6 Xiamen149 China 0.6 4.1 6.9 376 90 66 7.5 1.1 0.3 0.5 Durban South Africa 1.7 2.9 3.3 136 147 178 1.1 1.1 5.4 8.5 (Bombay) India 12.4 20.7 27.8 6 6 4 1.6 2.0 1.6 5.1 Xi'an, Shaanxi150 China 2.2 5.9 7.9 102 57 60 3.2 1.1 0.4 0.8 Durg-Bhilainagar India 0.7 1.1 1.5 364 423 406 1.4 2.3 0.1 0.3 München (Munich) Germany 1.2 1.4 1.5 198 331 398 1.2 0.2 1.7 2.3 Xiangyang151 China 0.6 1.5 1.9 410 312 326 1.5 1.3 0.1 0.2 E Muqdisho (Mogadishu)99 Somalia 1.0 2.0 4.2 258 223 135 8.1 3.9 18.6 47.7 Xining152 China 0.6 1.3 1.7 394 359 358 2.9 1.3 0.1 0.2 Edmonton28 Canada 0.8 1.2 1.5 308 369 399 2.2 1.0 3.5 4.3 India 0.6 1.1 1.5 374 450 411 2.2 2.3 0.1 0.3 Xuzhou153 China 0.8 1.9 2.4 323 246 250 2.1 1.2 0.1 0.2 El Djazaïr (Algiers)49 Algeria 1.8 2.6 3.4 127 171 176 1.3 1.6 6.4 9.1 N Y Esfahan Iran (Islamic Republic of) 1.1 1.8 2.4 233 252 256 1.8 1.3 2.4 3.2 N'Djaména Chad 0.5 1.2 2.3 426 382 260 3.9 4.3 9.2 41.1 Yancheng, Jiangsu154 China 0.4 1.4 2.1 447 337 301 5.0 1.3 0.1 0.2 F India 1.6 2.6 3.6 146 162 160 1.6 2.2 0.2 0.6 Yangon Myanmar 2.9 4.7 6.6 73 78 72 2.0 1.9 8.8 26.1 Faisalabad Pakistan 1.5 3.5 5.4 161 116 94 3.3 2.6 1.9 4.9 Nairobi Kenya 1.4 3.8 7.1 177 99 63 3.8 3.9 8.3 32.8 Yangzhou155 China 0.6 1.7 2.3 409 267 270 2.3 1.2 0.1 0.2 Fès Morocco 0.7 1.1 1.6 361 409 397 2.0 1.6 3.4 5.7 Nanchang100 China 0.9 2.5 3.3 289 178 181 2.7 1.2 0.2 0.3 Yantai156 China 0.4 2.0 2.8 440 219 215 3.5 1.2 0.1 0.3 Florianópolis Brazil 0.5 1.1 1.5 421 411 419 3.1 0.9 0.6 0.7 Nanchong101 China 0.3 1.0 1.4 470 479 430 3.5 1.3 0.1 0.1 Yaoundé Cameroon 0.8 2.9 5.2 325 144 99 5.3 3.0 12.8 23.9 Fortaleza Brazil 2.2 3.8 4.6 96 98 120 2.0 0.7 1.9 2.2 Nanjing, Jiangsu102 China 2.9 7.1 9.8 74 45 44 3.6 1.0 0.5 0.9 Yekaterinburg Russian Federation 1.3 1.4 1.4 182 336 432 0.5 0.1 1.0 1.3 Foshan50 China 1.0 7.0 8.4 263 48 53 1.1 1.0 0.5 0.9 Nanning103 China 0.8 3.1 4.4 330 131 123 4.2 1.2 0.2 0.4 Yerevan Armenia 1.2 1.0 1.1 207 457 485 -0.4 0.3 35.1 55.9 Fushun, Liaoning51 China 1.3 1.3 1.5 187 354 413 -0.3 1.3 0.1 0.2 Nantong104 China 0.5 1.9 2.8 430 241 218 4.4 1.2 0.1 0.3 Yichang157 China 0.5 1.2 1.7 422 381 361 4.0 1.3 0.1 0.2 Fuzhou, Fujian52 China 1.4 3.2 4.3 173 127 130 3.2 1.2 0.2 0.4 Napoli (Naples)97 Italy 2.2 2.2 2.2 97 199 277 -0.1 0.2 3.6 5.3 Yinchuan158 China 0.4 1.5 2.5 450 319 248 6.9 1.3 0.1 0.2 G India 0.7 1.7 2.6 356 266 236 3.0 2.2 0.1 0.4 Yiwu39 China 0.1 1.0 1.5 486 464 409 4.4 1.3 0.1 0.1 Gaziantep Turkey 0.6 1.5 2.0 393 321 316 3.3 1.2 2.0 2.7 Nashville-Davidson United States of America 0.6 1.1 1.4 399 440 446 2.5 1.0 0.3 0.4 Yongin27 Republic of Korea 0.2 1.0 1.3 483 485 453 4.3 0.5 2.0 2.5 Glasgow53 United Kingdom 1.2 1.2 1.4 192 380 445 0.3 0.8 1.9 2.3 Natal Brazil 0.7 1.1 1.4 368 413 434 2.0 0.9 0.6 0.7 Z Goiânia Brazil 1.1 2.2 2.7 215 195 220 2.2 0.8 1.1 1.3 Nay Pyi Taw Myanmar 0.0 1.0 1.4 488 480 436 1.3 2.1 1.9 5.6 Zaozhuang159 China 0.3 1.0 1.3 467 476 465 1.0 1.3 0.1 0.1 Grande São Luís Brazil 0.7 1.4 1.7 363 332 369 1.9 0.9 0.7 0.8 New York-Newark United States of America 16.1 18.6 19.9 3 9 14 0.2 0.6 5.8 7.1 Zhanjiang160 China 0.5 1.1 1.5 424 419 420 2.2 1.3 0.1 0.1 Grande Vitória Brazil 1.1 1.6 1.9 250 288 325 1.4 0.9 0.8 0.9 Niamey Niger 0.4 1.1 2.4 436 451 257 2.9 6.1 5.7 30.9 Zhengzhou161 China 1.1 4.2 5.9 212 88 82 3.8 1.1 0.3 0.6 Guadalajara Mexico 3.0 4.8 5.8 68 76 87 1.7 1.0 3.8 4.9 Ningbo105 China 0.6 3.0 4.3 382 137 132 4.1 1.2 0.2 0.4 Zhenjiang, Jiangsu162 China 0.3 1.0 1.3 462 469 448 2.1 1.3 0.1 0.1 , Guangdong54 China 3.1 11.8 17.6 63 22 16 5.2 1.0 0.8 1.6 Nizhniy Novgorod Russian Federation 1.4 1.2 1.1 170 377 484 -0.7 -0.9 0.9 1.2 Zhongshan39 China 0.4 3.5 5.5 446 114 90 6.4 1.1 0.2 0.5 Guayaquil Ecuador 1.6 2.7 3.5 152 160 168 1.7 1.6 16.7 26.2 Novosibirsk Russian Federation 1.4 1.5 1.5 169 318 410 0.3 0.1 1.1 1.4 Zhuhai163 China 0.2 1.5 2.0 477 315 307 2.5 1.3 0.1 0.2 Guilin55 China 0.6 1.0 1.3 407 474 458 1.6 1.3 0.1 0.1 O Zhuzhou164 China 0.4 1.1 1.4 439 449 443 1.7 1.3 0.1 0.1 Guiyang56 China 1.1 2.8 3.7 243 155 154 2.8 1.2 0.2 0.4 Odesa Ukraine 1.1 1.0 1.0 230 483 488 0.0 0.1 2.2 3.2 Zibo165 China 0.8 2.4 3.0 324 182 199 1.5 1.2 0.2 0.3 Gujranwala Pakistan 0.8 2.1 3.3 307 217 183 3.6 2.6 1.1 2.9 Omsk Russian Federation 1.1 1.2 1.2 210 400 476 0.1 0.1 0.8 1.1 Zürich (Zurich) 1.0 1.2 1.5 264 372 418 1.0 1.2 15.1 20.5 Onitsha78 Nigeria 0.3 1.1 2.1 457 453 288 4.9 3.9 0.6 1.3 Guwahati(Gauhati) India 0.6 1.0 1.4 406 471 429 1.7 2.3 0.1 0.3 Footnotes appear on reverse side. India 0.7 1.2 1.7 353 390 368 2.4 2.3 0.1 0.3 Orlando United States of America 0.9 1.7 2.1 295 278 293 2.6 1.0 0.5 0.6 Gwangju27 Republic of Korea 1.1 1.5 1.7 219 308 373 0.9 0.4 3.1 3.7 Ottawa-Gatineau106 Canada 0.9 1.3 1.6 286 353 390 1.7 1.0 3.7 4.5 H Ouagadougou Burkina Faso 0.5 2.6 5.9 413 169 84 7.2 4.3 14.7 50.7 Distribution of population by size of urban settlement for the world and development groups 57 P HàNoi Viet Nam 1.1 3.5 5.5 211 115 92 5.1 1.9 3.7 11.4 World More developed regions Haerbin58 China 2.4 5.4 6.9 87 67 67 2.2 1.1 0.4 0.7 P'yongyang Dem. People's Republic of Korea 2.5 2.9 3.3 84 150 182 0.2 1.0 11.4 18.8 100 100

HaiPhòng Viet Nam 0.5 1.0 1.6 432 462 395 3.8 2.1 1.1 3.4 Palembang Indonesia 1.1 1.5 1.9 216 326 331 0.0 2.1 0.6 1.1 80 80 Haikou59 China 0.5 1.8 2.7 423 256 223 4.9 1.2 0.1 0.2 France 9.3 10.8 11.8 14 25 33 0.7 0.4 16.7 21.0 60 60 Halab (Aleppo) Syrian Arab Republic 1.6 3.5 5.1 154 111 100 2.9 2.0 16.0 28.0 India 1.1 2.2 3.0 239 205 198 1.8 2.2 0.2 0.5 Hamah60 Syrian Arab Republic 0.3 1.2 2.0 466 391 308 5.8 2.1 5.4 9.4 Pekan Baru Indonesia 0.4 1.1 1.7 449 444 363 4.3 2.1 0.4 0.8 40 40 Percentage Percentage Hamburg Germany 1.6 1.8 1.9 145 255 327 0.5 0.1 2.2 2.9 Perth107 Australia 1.2 1.8 2.3 202 253 262 1.8 1.3 7.7 8.7 20 20 Handan61 China 0.5 1.6 2.3 416 300 267 4.6 1.3 0.1 0.2 Peshawar Pakistan 0.8 1.7 2.6 327 279 230 3.2 2.6 0.9 2.4 0 0 62 China 1.5 6.1 8.8 163 55 50 4.6 1.1 0.4 0.8 Philadelphia United States of America 4.7 5.6 6.2 35 62 78 0.5 0.8 1.7 2.1 1950 1960 1970 1980 1990 2000 2010 2020 2030 1950 1960 1970 1980 1990 2000 2010 2020 2030 Harare Zimbabwe 1.0 1.5 2.0 251 320 303 0.4 2.7 10.2 31.5 Phnum Pénh (Phnom Penh)108 Cambodia 0.6 1.7 2.6 387 280 234 2.7 2.7 10.9 53.3 Hefa (Haifa)63 Israel 0.7 1.1 1.3 367 435 457 0.9 1.3 13.9 15.1 Phoenix-Mesa United States of America 2.0 4.0 4.8 115 93 112 2.1 0.8 1.2 1.5 Least developed countries Other less developed countries 100 100 Hefei64 China 1.1 3.3 4.2 226 123 136 2.0 1.2 0.2 0.4 Pittsburgh United States of America 1.7 1.7 1.9 142 268 333 -0.2 1.0 0.5 0.7 Helsinki Finland 0.9 1.2 1.3 299 397 460 1.0 0.5 21.5 25.6 Port Elizabeth South Africa 0.8 1.2 1.4 311 396 438 1.3 1.3 2.2 3.4 80 80 Hengyang65 China 0.5 1.3 1.7 420 362 360 3.3 1.3 0.1 0.2 Port Harcourt84 Nigeria 0.7 2.2 4.6 362 197 119 5.1 3.9 1.2 2.7 60 60 40 40 Percentage Percentage 20 20 Distribution of population by size of urban settlement and major area 0 0 1950 1960 1970 1980 1990 2000 2010 2020 2030 1950 1960 1970 1980 1990 2000 2010 2020 2030 Africa Asia Europe 100 100 100 80 80 80 Distribution of the urban population of major areas by size class of urban settlement, 1950–2030 60 60 60 High-income countries Upper middle-income countries 40 40 40 Percentage Percentage Percentage 100 100 20 20 20 80 80 0 0 0 60 60 10 million or more 1950 1960 1970 1980 1990 2000 2010 2020 2030 1950 1960 1970 1980 1990 2000 2010 2020 2030 1950 1960 1970 1980 1990 2000 2010 2020 2030 40 40 Percentage Percentage 5 to 10 million 20 20 1 to 5 million 0 0 500 000 to 1 million Latin America and the Caribbean Northern America Oceania 1950 1960 1970 1980 1990 2000 2010 2020 2030 1950 1960 1970 1980 1990 2000 2010 2020 2030 300 000 to 500 000 100 100 100 Lower middle-income countries Low-income countries Fewer than 300 000 80 80 80 100 100 60 60 60 80 80 40 40 60 60

Percentage 40 Percentage Percentage 20 20 20 40 40 Percentage Percentage 20 20 0 0 0 1950 1960 1970 1980 1990 2000 2010 2020 2030 1950 1960 1970 1980 1990 2000 2010 2020 2030 1950 1960 1970 1980 1990 2000 2010 2020 2030 0 0 1950 1960 1970 1980 1990 2000 2010 2020 2030 1950 1960 1970 1980 1990 2000 2010 2020 2030 World’s 30 largest urban agglomerations, Average annual rate of change of city populations, 1990–2014 1990, 2014 and 2030 1990 Urban Population Rank agglomeration (millions) 1 , Japan 32.5 2 Kinki M.M.A. (Osaka), Japan 18.4 3 New York-Newark, United States of America 16.1 4 Ciudad de México (), Mexico 15.6 5 , Brazil 14.8 6 Mumbai (Bombay), Indina 12.4 7 Kolkata (Calcutta), Indina 10.9 8 Los Angeles-Long Beach-Santa Ana, United 10.9 States of America 9 , Republic of Korea 10.5 10 , Argentina 10.5 11 Al-Qahirah (Cairo), Egypt 9.9 12 , India 9.7 13 Rio de Janeiro, Brazil 9.7

14 Paris, France 9.3

 15 Moskva (Moscow), Russian Federation 9.0

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     16 Chukyo M.M.A. (Nagoya), Japan 8.4 17 , Indonesia 8.2 18 , United Kingdom 8.1 19 , Philippines 8.0 20 , China 7.8 21 Chicago, United States of America 7.4 22 Karachi, Pakistan 7.1 23 , China 6.8

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      24 , Bangladesh 6.6 25 Istanbul, Turkey 6.6 26 Tehran, Iran (Islamic Republic of) 6.4 27 Krung Thep (Bangkok), Thailand 5.9 28 , Peru 5.8 29 Hong Kong, China, Hong Kong SAR 5.8 30 Chennai (Madras), India 5.3

2014 Urban Population Rank agglomeration (millions) 1 Tokyo, Japan 37.8 2 Delhi, India 25.0 3 Shanghai, China 23.0 4 Ciudad de México (Mexico City), Mexico 20.8 5 São Paulo, Brazil 20.8 6 Mumbai (Bombay), Indina 20.7 7 Kinki M.M.A. (Osaka), Japan 20.1 8 Beijing, China 19.5 9 New York-Newark, United States of America 18.6 10 Al-Qahirah (Cairo), Egypt 18.4 11 Dhaka, Bangladesh 17.0 12 Karachi, Pakistan 16.1 13 Buenos Aires, Argentina 15.0 14 Kolkata (Calcutta), India 14.8 15 Istanbul, Turkey 14.0 Growth Rate City Population 16 Chongqing, China 12.9 17 Rio de Janeiro, Brazil 12.8 <1% 18 Manila, Philippines 12.8 1–5 million 1–3% 19 , Nigeria 12.6 3–5% 20 Los Angeles-Long Beach-Santa Ana, 12.3 5–10 million United States of America 5%+ The boundaries and names shown and the designations used on this map do not imply official endorsement or acceptance by the United Nations. 21 Moskva (Moscow), Russian Federation 12.1 10 million or more 22 Guangzhou, Guangdong, China 11.8 23 Kinshasa, Democratic Republic of the Congo 11.1 24 , China 10.9 25 Paris, France 10.8 26 , China 10.7 27 London, United Kingdom 10.2 28 Jakarta, Indonesia 10.2 29 Seoul, Republic of Korea 9.8 30 Lima, Peru 9.7

2030 Urban Population Rank agglomeration (millions) 1 Tokyo, Japan 37.2 Average annual rate of change of city populations, 2014–2030 2 Delhi, India 36.1 3 Shanghai, China 30.8 4 Mumbai (Bombay), India 27.8 5 Beijing, China 27.7 6 Dhaka, Bangladesh 27.4 7 Karachi, Pakistan 24.8 8 Al-Qahirah (Cairo), Egypt 24.5 9 Lagos, Nigeria 24.2 10 Ciudad de México (Mexico City), Mexico 23.9 11 São Paulo, Brazil 23.4 12 Kinshasa, Democratic Republic of the Congo 20.0 13 Kinki M.M.A. (Osaka), Japan 20.0 14 New York-Newark, United States of America 19.9 15 Kolkata (Calcutta), India 19.1 16 Guangzhou, Guangdong, China 17.6 17 Chongqing, China 17.4 18 Buenos Aires, Argentina 17.0 19 Manila, Philippines 16.8 20 Istanbul, Turkey 16.7 21 , India 14.8

22 Tianjin, China 14.7

 23 Rio de Janeiro, Brazil 14.2

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     24 Chennai (Madras), India 13.9 25 Jakarta, Indonesia 13.8 26 Los Angeles-Long Beach-Santa Ana, United 13.3 States of America 27 Lahore, Pakistan 13.0 28 Hyderabad, India 12.8 29 Shenzhen, China 12.7 30 Lima, Peru 12.2

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The figures presented are from World Urbanization Prospects: Growth Rate City Population The 2014 Revision. <1% Data on CD-ROM can be purchased from: 1–3% 1–5 million Director, Population Division 3–5% 5–10 million 5%+ The boundaries and names shown and the designations used on this map do not imply official endorsement or acceptance by the United Nations. Department of Economic and Social Affairs 10 million or more United Nations, New York, NY 10017, USA Fax number: 1 212 963 2147 http://www.unpopulation.org Copyright © United Nations, 2014 All rights reserved ST/ESA/SER.A/359 Sales No. E.14.XIII.14 Published by the United Nations, New York www.unpopulation.org 14-57762—October 2014—2,000

Economic & Sca Affairs Social 122 148 Notes A minus sign (-) before a figure indicates a decrease. For the 2000 and 2010 censuses, the population of the city is composed of is composed of population in all urban areas of four districts (Chengzhong, Data for 1950,1960 and 1975 refer to city proper. Data for 1986,1994 and For the 1982 and 1990 censuses, the data reflect all residents of urban A full stop is indicated to use decimals. population in all urban areas of four city districts (Hanshan, Congtai, Fuxing, Yufeng, Liunan, and Liubei) of the city meeting the criteria such as contigu- 2004 refer to urban agglomeration. areas of the city. For the 2000 and 2010 censuses, the population of the This wallchart only includes urban agglomerations with 1 million inhabitants or 123 Data refers to 1 July of the year indicated. and Fengfengkuang) meeting the criteria such as contiguous built-up ar- ous built-up areas, being the location of the local government, being a Street Data from 1952 to 1992 refer to Gran Santiago. Data for 2002 and 2012 city is composed of population in all urban areas of six districts of the city more on 1 July 2014. refer to the urban population of Santiago Region. Use of en dash (–) between years, for example, 1995–2000, signifies the full eas, being the location of the local government, being a Street or Having or Having a Resident Committee. (Chong'an Nanchang, Beitang, Xishan, Huishan, and Binhu) meeting the 91 124 Data for 2002 and 2010 refer to the urban population of the Municipalities criteria such as contiguous built-up areas, being the location of the local An em dash (—) indicates that the value is zero (magnitude zero) period involved, from 1 July of the beginning year to 1 July of the end year. a Resident Committee. Data from 1951 to 1971 refer to , while data from 1981 to 2011 62 For the 1982 and 1990 censuses, the data reflect all residents of urban ar- refer to Urban area (Greater London). Data for 2011 includes Guildford, St. of Santo Domingo de Guzmán, Santo Domingo Este, Santo Domingo Oeste, government, being a Street or Having a Resident Committee. 0 and/or 0.0 indicates that the magnitude is zero or less than half of the unit Numbers and percentages in tables do not necessarily add to totals because 149 eas of the city. For the 2000 and 2010 censuses, the population of the city is Albans and Harlow, which were part of different urban areas in 2001. and Santo Domingo Norte, as of 2010. For the 1982 and 1990 censuses, the data reflect all residents of urban ar- employed. of roundings. 92 125 1 composed of population in all urban areas of eight city districts (Shangcheng, For the 1990 census, the data reflect all residents of urban areas of the city. Refers to Seoul Special City. Data refer to the urban population of the city. eas of the city. For the 2000 and 2010 censuses, the population of the city is Data for 1953 and 1963 refer to city proper. Data for 1991, 2006 and 2013 tiguous built-up areas, being the location of the local government, being a Xiacheng, Jianggan, Gongshu, XIhu, Binjiang, Xiaoshan, and Yuhang) meeting For the 2000 and 2010 censuses, the population of the city is composed of 126 For the 1982 and 1990 censuses, the data reflect all residents of urban areas composed of population in all urban areas of six districts of the city (Siming, Urban refer to urban agglomeration. Street or Having a Resident Committee. of the city. For the 2000 and 2010 censuses, the population of the city is com- Haicang, Huli, Jimei, Tongan and Xiang'an) meeting the criteria such as 2 34 the criteria such as contiguous built-up areas, being the location of the local population in all urban areas of six districts of the city (Laocheng, Xigong, Refers to Greater Adelaide. For the 1982 and 1990 censuses, the data reflect all residents of urban ar- government, being a Street or Having a Resident Committee. posed of population in all urban areas of sixteen districts of the city as in 2013 contiguous built-up areas, being the location of the local government, being 3 Chanhe, Jianxi, Jieli, and Luolong) meeting the criteria such as contiguous Data for 1985 and 1995 refer to the Governorates of Capital, Hawalli and eas of the city. For the 2000 and 2010 censuses, the population of the city is 63 Data prior to 1995 refer to urban agglomeration. built-up areas, being the location of the local government, being a Street or (Baoshan, Changning, Fengxian, Hongkou, Huangpu, Jiading, Jing'an, Jinshan, a Street or Having a Resident Committee. 150 Farwaniya. The number and names of governorates have changed over time composed of population in all urban areas of Xiangqiao and Chaoan districts 64 For the 1982 and 1990 censuses, the data reflect all residents of urban ar- Having a Resident Committee. Minghang, Pudong, Putuo, Qingpu, Songjiang, Xunhui, Yangpu, and Zhabei) For the 1982 and 1990 censuses, the data reflect all residents of urban areas as well as the limits of the urban agglomeration. meeting the criteria such as contiguous built-up areas, being the location of the eas of the city. For the 2000 and 2010 censuses, the population of the city 93 For Birmingham, Manchester, and Newcastle upon Tyne, data from 1951 to meeting the criteria such as contiguous built-up areas, being the location of the of the city. For the 2000 and 2010 censuses, the population of the city is com- 4 Data for 1996 refer to the districts of the Governorate of Al-Iskandariyah local government, being a Street or Having a Resident Committee. local government, being a Street or Having a Resident Committee. posed of population in all urban areas of nine districts of the city (Xincheng, 35 is composed of population in all urban areas of four city districts (Yaohai, 1971 refer to Conurbation, while data from 1981 to 2011 refer to Urban area (Alexandria) except for the Districts of Burj al-'Arab (Borg El Arab) and For the 1982 and 1990 censuses, the data reflect all residents of urban areas Luyang, Shushan and Baohe) meeting the criteria such as contiguous built- (including Greater Manchester). For Birmingham (West Midlands) the limits 127 For the 1982 and 1990 censuses, the data reflect all residents of urban Beilin, Lianhu, Baqiao, Weiyang, Yanta, Yanliang, Lintong and Chang'an) meet- Madinat Burj al-'Arab al-Jadidah (New Borg El Arab). Data for 2006 refer of the city. For the 2000 and 2010 censuses, the population of the city is com- up areas, being the location of the local government, being a Street or of the urban area have been modified in 2011. For Sunderland, data from areas of the city. For the 2000 and 2010 censuses, the population of the ing the criteria such as contiguous built-up areas, being the location of the local to the districts of the Governorate of Al-Iskandariyah (Alexandria) except for posed of population in all urban areas of nine city districts (Mianjing, Qingyang, Having a Resident Committee. 1951 to 1981 refer to Sunderland and Whitburn urban areas, while data city is composed of population in all urban areas of six districts of the city government, being a Street or Having a Resident Committee. the Districts of As-Sahal ash-Shamali (North Coast), Burj al-'Arab (Borg El Jinniu, Wuhou, chenghua, Longquanyi, Qingbaijiang, Xindu, and Wenjiang) 65 (Longhu, Jinping, Haojiang, Chaoyang, Chaonan, and Chenghai) meeting 151 For the 1982 and 1990 censuses, the data reflect all residents of urban Agglomerations For the 1990 census, the data reflect all residents of urban areas of the city. from 1991 to 2011 refer to Sunderland, Whitburn, Washington, Chester-le- Arab) and Madinat Burj al-'Arab al-Jadidah (New Borg El Arab). meeting the criteria such as contiguous built-up areas, being the location of the For the 2000 and 2010 censuses, the population of the city is composed of Street and 9 other sub-divisions of the urban agglomeration. The limits of the criteria such as contiguous built-up areas, being the location of the local areas of the city. For the 2000 and 2010 censuses, the population of the 5 Data from 1960 to 1986 refer to the Governorate of Al-Qahirah (Cairo) local government, being a Street or Having a Resident Committee. the urban agglomerations of Newport and Reading-Wokingham have been government, being a Street or Having a Resident Committee. city is composed of population in all urban areas of Xiangcheng, Fancheng, 36 population in all urban areas of five city districts (Zhuhui, Yanfeng, Shigu, and the cities of Al-Jizah (Giza) and Shubra al-Khaymah (Shubra-El- For the 1990 census, the data reflect all residents of urban areas of the city. Zhengxiang, and Nanyue) meeting the criteria such as contiguous built-up modified between 1981 and 1991. 128 For the 1982 and 1990 censuses, the data reflect all residents of urban ar- and Xiangzhou districts meeting the criteria such as contiguous built-up ar- Khema). Data for 1996 and 2006 refer to as the sum of For the 2000 and 2010 censuses, the population of the city is composed areas, being the location of the local government, being a Street or Having 94 Refers to the National Capital Region. eas of the city. For the 2000 and 2010 censuses, the population of the city eas, being the location of the local government, being a Street or Having a the Governorate of Al-Qahirah (Cairo) and the surrounding districts of the of population in all urban areas of city districts meeting the criteria such as a Resident Committee. 95 Refers to Greater Melbourne. is composed of population in all urban areas of three districts of the city as Resident Committee. Governorates of Al-Jizah (Giza) and Al-Qalyübyah (Qalyubia). contiguous built-up areas, being the location of the local government, being a 66 96 in 2013 (Yucheng, Keqiao, and Shangyu) meeting the criteria such as con- 152 For the 1982 and 1990 censuses, the data reflect all residents of urban 6 Excluding Refugees or Internally Displaced Persons (if applicable). For the 1990 census, the data reflect all residents of urban areas of the city. Excluding Syrian Refugees. Street or Having a Resident Committee. Data after 1990 reflect urban popu- 67 For the 1982 and 1990 censuses, the data reflect all residents of urban ar- For the 2000 and 2010 censuses, the population of the city is composed of tiguous built-up areas, being the location of the local government, being a areas of the city. For the 2000 and 2010 censuses, the population of the 7 Refers to Altindag, Cankaya, Etimesgut, Golbasi, Keçioren, Mamak, Sincan lation in the latest administrative city districts that include Jiangjin, Hechuan, Street or Having a Resident Committee. city is composed of population in all urban areas of four districts of the city eas of the city. For the 2000 and 2010 censuses, the population of the city population in all urban areas of two districts of the city (Fucheng and Youxian) 129 and Yenimahalle. Nanchuan, Yongchuan, Dazu, and Qijiang districts. is composed of population in all urban areas of four city districts (Xincheng, meeting the criteria such as contiguous built-up areas, being the location of For the 1982 and 1990 censuses, the data reflect all residents of urban ar- (Chengdong, Chengzhong, Chengxi, and Chengbei) meeting the criteria such 8 37 For the 1982 and 1990 censuses, the data reflect all residents of urban areas Refers to the total population in seventy-six municipalities of the Huimin, and Yuquan, Saihan) meeting the criteria such as contiguous built- the local government, being a Street or Having a Resident Committee. eas of the city. For the 2000 and 2010 censuses, the population of the city is as contiguous built-up areas, being the location of the local government, be- of the city. For the 2000 and 2010 censuses, the population of the city is com- Metropolitan Area of Mexico City. 97 composed of population in all urban areas of nine districts of the city (Heping, ing a Street or Having a Resident Committee. 38 up areas, being the location of the local government, being a Street or Based on the local labour market system (Sistemi locali del lavoro) as de- 153 posed of population in four city districts (Tiedong, Tiexi, Lishan and Qianshan) Refers to the metropolitan area of Panama City, made up of the population Having a Resident Committee. fined in the 2001 census. Shenhe, Dadong, Huanggu, Tiexi, Sujiatun, Dongling, Shenbei, and Yuhong) For the 1982 and 1990 censuses, the data reflect all residents of urban 2014 meeting the criteria such as contiguous built-up areas, being the location of the of urban localities in the districts of Panamá, Arraijan, La Chorrera and San 68 Data for Hong Kong consist of the population of Hong Kong Island, New 98 Data from 1963 to 1985 refer to the department of Montevideo and locali- meeting the criteria such as contiguous built-up areas, being the location of areas of the city. For the 2000 and 2010 censuses, the population of the local government, being a Street or Having a Resident Committee. Miguelito. Data for 1980 includes the urban population in the district of Balboa. Kowloon the new towns in New Territories and the marine areas. ties of the department of Canelones. Data from 1996 to 2011 refer to the the local government, being a Street or Having a Resident Committee. city is composed of population in all urban areas of five districts of the city 9 39 130 For the 1982 and 1990 censuses, the data reflect all residents of urban ar- For the 1990 census, the data reflect all residents of urban areas of the city. 69 For the 1982 and 1990 censuses, the data reflect all residents of urban department of Montevideo and localities of the departments of Canelones For the 1982 and 1990 censuses, the data reflect all residents of urban ar- (Gulou, Yunlong, Jiuli, Jiawang, and Quanshan) meeting the criteria such as eas of the city. For the 2000 and 2010 censuses, the population of the city For the 2000 and 2010 censuses, the population of the city is composed areas of the city. For the 2000 and 2010 censuses, the population of the and San José (Cerámicas del Sur and Ciudad del Plata). eas of the city. For the 2000 and 2010 censuses, the population of the city is contiguous built-up areas, being the location of the local government, being is composed of population in four city districts (Wenfeng, Beiguan, Yindu, of population in all urban areas of the city meeting the criteria such as con- city is composed of population in all urban areas of four districts (Huai'an, 99 Refers to the urban agglomeration of 1972. composed of population in all urban areas of six districts of the city (Luohu, a Street or Having a Resident Committee. Futian, Nanshan, Baoan, Longgang, and Yantian) meeting the criteria such 154 and Longan) meeting the criteria such as contiguous built-up areas, being tiguous built-up areas, being the location of the local government, being a Huaiyin, Qinghe, and Qingpu) meeting the criteria such as contiguous built- 100 For the 1982 and 1990 censuses, the data reflect all residents of urban For the 1982 and 1990 censuses, the data reflect all residents of urban areas the location of the local government, being a Street or Having a Resident Street or Having a Resident Committee. as contiguous built-up areas, being the location of the local government, of the city. For the 2000 and 2010 censuses, the population of the city is com- 40 up areas, being the location of the local government, being a Street or areas of the city. For the 2000 and 2010 censuses, the population of the Committee. Data after 2000 include some parts of Anyang County that Refers to Gran Córdoba. Having a Resident Committee. being a Street or Having a Resident Committee. posed of population in all urban areas of two districts of the city (Tinghu and 41 city is composed of population in all urban areas of five districts of the city 131 were converted into city districts of Anyang in 2002. For the 1982 and 1990 censuses, the data reflect all residents of urban ar- 70 For the 1990 census, the data reflect all residents of urban areas of the city. (Donghu, Xihu, Qingyunpu, Wanli, and Qingshanhu) meeting the criteria For the 1982 and 1990 censuses, the data reflect all residents of urban yandu) meeting the criteria such as contiguous built-up areas, being the location 10 Refers to the metropolitan area of Asunción, which consists of the district eas of the city. For the 2000 and 2010 censuses, the population of the city areas of the city. For the 2000 and 2010 censuses, the population of the of the local government, being a Street or Having a Resident Committee. For the 2000 and 2010 censuses, the population of the city is composed of such as contiguous built-up areas, being the location of the local govern- 155 of Asunción, San Lorenzo, Lambaré, Fernando de Mora, Luque, Capiatá, is composed of population in all urban areas of six city districts (Zhongshan, population in all urban areas of five city districts (Datong, Tianjiayan, Xiejiaji, ment, being a Street or Having a Resident Committee. city is composed of population in all urban areas of six districts of the city For the 1982 and 1990 censuses, the data reflect all residents of urban (Chang'an, Qiaodong, Qiaoxi, Xinhua, Jingxing, and Yuhua) meeting the Mariano Roque Alonso and Villa Elisa, and the urban population of the Xigang, Shahekou, Ganjingzi, Lvshun, and Jinzhou) meeting the criteria bagongshan, and Panji) meeting the criteria such as contiguous built-up ar- 101 For the 1982 and 1990 censuses, the data reflect all residents of urban ar- areas of the city. For the 2000 and 2010 censuses, the population of the criteria such as contiguous built-up areas, being the location of the local districts of Ñemby, Limpio, San Antonio and Areguá (Department named such as contiguous built-up areas, being the location of the local govern- eas, being the location of the local government, being a Street or Having a eas of the city. For the 2000 and 2010 censuses, the population of the city city is composed of population in all urban areas of four districts (Guangling, Central), the urban population of the district of Villa Hayes (Department of ment, being a Street or Having a Resident Committee. government, being a Street or Having a Resident Committee. Hanjiang, and Jiangdu) meeting the criteria such as contiguous built-up ar- Resident Committee. is composed of population in all urban areas of three districts (Shunqing, 132 Presidente Hayes). 42 For the 1990 census, the data reflect all residents of urban areas of the 71 Refers to "tätort" (According to the administrative divisions of 2005). eas, being the location of the local government, being a Street or Having a 11 Data for 1953 and 1963 refer to city proper. Data for 1991 and 2006 refer Gaoping, and Jialing) of the city meeting the criteria such as contiguous 133 Data refer to the localities of Calithèa, Peristérion and Piraeus, among others. city. For the 2000 and 2010 censuses, the population of the city is com- to urban agglomeration. built-up areas, being the location of the local government, being a Street or For the 1982 and 1990 censuses, the data reflect all residents of urban ar- Resident Committee. 12 156 The limits of the urban agglomeration have been modified between 2001 posed of population in all urban areas of five city districts (Saertu, Longfeng, 72 Data refer to the functional urban area, that is, contiguous areas which are Having a Resident Committee. eas of the city. For the 2000 and 2010 censuses, the population of the city is For the 1982 and 1990 censuses, the data reflect all residents of urban and 2006. Ranghulu, Honggang, Datong) meeting the criteria such as contiguous consistently urban in character as indicated by levels of population density, 102 For the 1982 census, the data reflect all residents of urban areas of the city. For composed of population in all urban areas of five city districts (Gusu, Huqiu, areas of the city. For the 2000 and 2010 censuses, the population of the 13 The data include communities under the authority of the Town Council. The built-up areas, being the location of the local government, being a Street or economic functions and facilities. Jakarta covers five municipalities (kotam- the 1990, 2000 and 2010 censuses, the population of the city is composed of Wuzhong, Xiangcheng, Wujiang) meeting the criteria such as contiguous city is composed of population in all urban areas of four districts of the city 1989 census produced data referring to the city proper only; the population Having a Resident Committee. adya): Jakarta Selatan, Jakarta Timur, Jakarta Pusat, Jakarta Barat, and population in all urban areas of eleven city districts (Xuanwu, Qihuai, Jianye, built-up areas, being the location of the local government, being a Street or (Zhifu, Fushan, Mouping, and Laishan) meeting the criteria such as contigu- of the urban agglomeration for that date was estimated by assuming that the 43 For the 1982 and 1990 censuses, the data reflect all residents of urban ar- Having a Resident Committee. ous built-up areas, being the location of the local government, being a Street Jakarta Utara. Data for 1990 does not refer to the functional urban area. Gulou, Pukou, Xixia, Yuhuatai, Jiangning, Luhe, Lishui and Gaochun), meeting 134 ratio of the population of the urban agglomeration to that of the city proper eas of the city. For the 2000 and 2010 censuses, the population of the city Refers to Greater Sydney. or Having a Resident Committee. Appropriate estimates were derived by using the ratio of the population in the criteria such as contiguous built-up areas, being the location of the local 135 157 was the same as in 1979. is composed of population in all urban areas of four city districts (Chengqu, the functional urban area to that of the population in the relevant municipali- government, being a Street or Having a Resident Committee. For the 1990 census, the data reflect all residents of urban areas of the city. For the 1982 and 1990 censuses, the data reflect all residents of urban 14 For the 1982 and 1990 censuses, the data reflect all residents of urban ar- Kuangqu, Nianjiao, Xinrong) meeting the criteria such as contiguous built-up ties as derived from the 1980 census. 103 For the 1982 and 1990 censuses, the data reflect all residents of urban areas For the 2000 and 2010 censuses, the population of the city is composed of areas of the city. For the 2000 and 2010 censuses, the population of the eas of the city. For the 2000 and 2010 censuses, the population of the city is areas, being the location of the local government, being a Street or Having 73 For the 1990 census, the data reflect all residents of urban areas of the city. of the city. For the 2000 and 2010 censuses, the population of the city is population in all urban areas of two districts of the city (Taishan and Daiyue) city is composed of population in all urban areas of five districts of the city composed of population in three districts (Xinshi, Beishi, and Nanshi) meeting a Resident Committee. For the 2000 and 2010 censuses, the population of the city is composed of composed of population in all urban areas of six districts of the city (Xingning, meeting the criteria such as contiguous built-up areas, being the location of (Xiling, Wujiagang, Dianjun, Xiaoting, and Yiling) meeting the criteria such as 44 the criteria such as contiguous built-up areas, being the location of the local Data for 1991, 2001 and 2011 refer to the urban agglomeration that is population in all urban areas of three city districts (Pengjiang, Jianghai, and Qingxiu, Jiangnan, Xixiangtang, Liangqing, and Yongning) meeting the crite- the local government, being a Street or Having a Resident Committee. contiguous built-up areas, being the location of the local government, being government, being a Street or Having a Resident Committee. not restricted to state boundaries (National Capital Territory). Contiguous 136 For the 1982 and 1990 censuses, the data reflect all residents of urban a Street or Having a Resident Committee. Xinhui) meeting the criteria such as contiguous built-up areas, being the loca- ria such as contiguous built-up areas, being the location of the local govern- 158 15 For the 1982 and 1990 censuses, the data reflect all residents of urban areas suburban cities and towns, such as Faridabad, , and tion of the local government, being a Street or Having a Resident Committee. ment, being a Street or Having a Resident Committee. The 2012 figure was areas of the city. For the 2000 and 2010 censuses, the population of the For the 1982 and 1990 censuses, the data reflect all residents of urban of the city. For the 2000 and 2010 censuses, the population of the city is com- are included in Dehli. The capital is . The population of New Delhi 74 For the 1982 and 1990 censuses, the data reflect all residents of urban obtained by applying the population proportion of six districts to the total de city is composed of population in all urban areas of six districts of the city areas of the city. For the 2000 and 2010 censuses, the population of the posed of population in all urban areas of six city districts (Donghe, Kundulun, was estimated at 249,998 in the year 2011. areas of the city. For the 2000 and 2010 censuses, the population of the facto population of the city. The urban proportion in 2012 was extrapolated (Xiaodian, Yingze, Xinghualing, Jiancaoping, Wanbolin, abnd Jinyuan) meet- city is composed of population in all urban areas of three districts of the 45 Qingshan, Shiguai, Baiyunebokuangqu, and Jiuyuan) meeting the criteria such Mega city. city is composed of population in all urban areas of four districts (Changyi, from 2000 to 2010. The total de facto population of the city in 2012 was from ing the criteria such as contiguous built-up areas, being the location of the city (Xingqing, Xixia, and Jinfeng) meeting the criteria such as contiguous as contiguous built-up areas, being the location of the local government, being 46 local government, being a Street or Having a Resident Committee. built-up areas, being the location of the local government, being a Street or Excluding Refugees or Internally Displaced Persons (if applicable). Longtan, Chuanying and Fengman) meeting the criteria such as contiguous Guangxi Province Statistical Yearbook 2013. 137 a Street or Having a Resident Committee. 47 104 For the 1982 and 1990 censuses, the data reflect all residents of urban areas Having a Resident Committee. For the 1982 and 1990 censuses, the data reflect all residents of urban ar- built-up areas, being the location of the local government, being a Street or For the 1982 and 1990 censuses, the data reflect all residents of urban 159 16 There is some level of uncertainty with respect to the estimates for Bayrut. eas of the city. For the 2000 and 2010 censuses, the population of the city Having a Resident Committee. areas of the city. For the 2000 and 2010 censuses, the population of the of the city. For the 2000 and 2010 censuses, the population of the city is com- For the 1990 census, the data reflect all residents of urban areas of the city. For the 2000 and 2010 censuses, the population of the city is composed of Excluding Syrian Refugees. is composed of population in all urban areas of the city meeting the criteria 75 For the 1982 and 1990 censuses, the data reflect all residents of urban city is composed of population in all urban areas of three districts of the city posed of population in all urban areas of three districts (Hailing, Gaogang and 17 population in all urban areas of five districts of the city (Shizhong, Yuecheng, For the 1982 and 1990 censuses, the data reflect all residents of urban areas such as contiguous built-up areas, being the location of the local govern- areas of the city. For the 2000 and 2010 censuses, the population of the (Chongchuan, Gangzha, and Tongzhou) meeting the criteria such as contigu- Jiangyan) meeting the criteria such as contiguous built-up areas, being the loca- Yicheng, Taierzhuang, and Shanting) meeting the criteria such as contiguous of the city. For the 2000 and 2010 censuses, the population of the city is com- ment, being a Street or Having a Resident Committee. city is composed of population in all urban areas of six districts (Liexia, ous built-up areas being the location of the local government, being a Street tion of the local government, being a Street or Having a Resident Committee. 138 built-up areas, being the location of the local government, being a Street or posed of population in all urban areas of 14 city districts (Dongcheng, Xicheng, 48 Figures for 1991 were estimated using the ratio of the population in the urban Shizhong, Huaiyin, Tianqiao, Licheng, and Changqing) meeting the criteria or Having a Resident Committee. For the 1990 census, the data reflect all residents of urban areas of the Having a Resident Committee. Chaoyang, Fengtai, Shijingshan, Haidian, Mentougou, Fangshan, Tongzhou, agglomeration to that in the city proper as recorded in the 1986 census. such as contiguous built-up areas, being the location of the local govern- 105 For the 1982 and 1990 censuses, the data reflect all residents of urban city. For the 2000 and 2010 censuses, the population of the city is com- 160 For the 1990 census, the data reflect all residents of urban areas of the city. Shunyi, Changping, Daxing, Huairou, and Pinggu) meeting the criteria such as 49 Refers to the Governorate of Grand Algiers. ment, being a Street or Having a Resident Committee. areas of the city. For the 2000 and 2010 censuses, the population of the posed of population in all urban areas of three districts of the city (Jianjiang, 76 Huangyan, and Luqiao) meeting the criteria such as contiguous built-up ar- For the 2000 and 2010 censuses, the population of the city is composed contiguous built-up areas, being the location of the local government, being a 50 For the 1990 census, the data reflect all residents of urban areas of the city. For the 1990 census, the data reflect all residents of urban areas of the city. city is composed of population in all urban areas of six districts of the city eas, being the location of the local government, being a Street or Having a of population in all urban areas of four districts of the city (Chikan, Xiashan, Street or Having a Resident Committee. For the 2000 and 2010 censuses, the population of the city is composed For the 2000 and 2010 censuses, the population of the city is composed of (Haishu, Jiangdong, Jiangbei, Beilun, Zhenhai, and Yinzhou) meeting the 18 Potou, and Mazhang) meeting the criteria such as contiguous built-up ar- Data for 1953 and 1963 refer to city proper. Data for 1991 and 2006 refer population in all urban areas of the three city districts (Shizhong, Rencheng, criteria such as contiguous built-up areas, being the location of the local Resident Committee. of population in all urban areas of five city districts (Chancheng, Nanhai, 139 eas, being the location of the local government, being a Street or Having a to urban agglomeration. and Yanzhou) meeting the criteria such as contiguous built-up areas, being government, being a Street or Having a Resident Committee. For the 1990 census the data reflect all residents of urban areas of the city. Shunde, Sanshui and Gaoming) meeting the criteria such as contiguous Resident Committee. 19 For the 1990 census, the data reflect all residents of urban areas of the built-up areas, being the location of the local government, being a Street or the location of the local government, being a Street or Having a Resident 106 Refers to the Census Metropolitan Area. The capital is Ottawa. For the 2000 and 2010 censuses, the population of the city is composed 161 For the 1982 and 1990 censuses, the data reflect all residents of urban city. For the 2000 and 2010 censuses, the population of the city is com- Having a Resident Committee. Committee. 107 Refers to Greater Perth. of population in all urban areas of the seven districts (Lunan, Lubei, Guye, areas of the city. For the 2000 and 2010 censuses, the population of the posed of population in all urban areas of four city districts (Pingshan, Xihum 51 77 For the 1982 and 1990 censuses, the data reflect all residents of urban ar- 108 Kaiping, Fengrun, Fengnan, and Caojidian) meeting the criteria such as con- For the 1982 and 1990 censuses, the data reflect all residents of urban Data refer to the municipality of Phnon Penh including suburban areas. city is composed of population in all urban areas of six districts of the city Mingshan, and Nanfen) meeting the criteria such as contiguous built-up eas of the city. For the 2000 and 2010 censuses, the population of the city is 109 tiguous built-up areas, being the location of the local government, being a areas of the city. For the 2000 and 2010 censuses, the population of the Data for 1971 and later refer to urban agglomeration. Data for 1950 refer to (Zhongyuan, Erqi, Guancheng, Jinshui, Shangjie, and Huiji) meeting the areas, being the location of the local government, being a Street or Having composed of population in all urban areas of Guta, Linghe, and Taihe) districts Street or Having a Resident Committee. city is composed of population in all urban areas of four city districts (Xinfu, city proper. 1999 estimate refers to the urban agglomeration of Port-au-Prince, 140 criteria such as contiguous built-up areas, being the location of the local a Resident Committee. meeting the criteria such as contiguous built-up areas, being the location of For the 1982 and 1990 censuses, the data reflect all residents of urban Dongzhou, Wanghua, and Shuncheng) meeting the criteria such as con- Delmas and Carrefour. As of 1 February 2010, the impact of the earthquake on government, being a Street or Having a Resident Committee. 20 Refers to Belgrade settlement, which includes the whole territory of six city the local government, being a Street or Having a Resident Committee. areas of the city. For the 2000 and 2010 censuses, the population of the tiguous built-up areas, being the location of the local government, being a 12 January 2010 is estimated with the data from the Government of Haiti and 162 For the 1982 and 1990 censuses, the data reflect all residents of urban municipalities (Vracar, Stari Grad, Savski Venac, Zvezdara, Rakovica and Novi 78 Data for 1953 and 1963 refer to city proper. Data for 1983, 1991 and 2006 city is composed of population in all urban areas of thirteen districts of the Street or Having a Resident Committee. the United Nations Office for the Coordination of Humanitarian Affairs (OCHA). areas of the city. For the 2000 and 2010 censuses, the population of the Beograd) and parts of the territories of four other city municipalities. 52 refer to urban agglomeration. 110 city (Heping, Hedong, Hexi, Nankai, Hebei, Hongqiao, Dongli, Xiqing, Jinnan, For the 1982 and 1990 censuses, the data reflect all residents of urban Refers to Grande Porto. Beichen, Wuqing, Baodi, and Binhai) meeting the criteria such as contiguous city is composed of population in all urban areas of three districts of the 21 For Birmingham, Manchester, and Newcastle upon Tyne, data from 1951 79 111 areas of the city. For the 2000 and 2010 censuses, the population of the Data refer to the municipality. For the 1990 census, the data reflect all residents of urban areas of the city. city (Jingkou, Runzhou, and Dantu) meeting the criteria such as contiguous to 1971 refer to Conurbation, while data from 1981 to 2011 refer to Urban 80 built-up areas, being the location of the local government, being a Street or city is composed of population in all urban areas of five city districts (Gulou, Major Metropolitan areas (M.M.A.) are defined by the Statistics Bureau of For the 2000 and 2010 censuses, the population of the city is composed built-up areas, being the location of the local government, being a Street or area (including Greater Manchester). For Birmingham (West Midlands) the Having a Resident Committee. Taijiang, Cangshan, Mawei, and Jin'an) meeting the criteria such as con- Japan. Census figures for 2005 and 2010 refer to the Kinko M.M.A.; fig- of population in all urban areas of four districts of the city (Chengxiang, 141 Major Metropolitan areas (M.M.A.) are defined by the Statistics Bureau of Having a Resident Committee. limits of the urban area have been modified in 2011. For Sunderland, data tiguous built-up areas, being the location of the local government, being a ures from 1960 to 2000 are based on the M.M.A. These areas Hanjiang, Licheng, and Xiuyu) meeting the criteria such as contiguous 163 from 1951 to 1981 refer to Sunderland and Whitburn urban areas, while da- Japan. Census figures for 2005 and 2010 refer to the Kanto M.M.A.; fig- For the 1990 census, the data reflect all residents of urban areas of the city. Street or Having a Resident Committee. include Osaka, , and , among other cities. built-up areas, being the location of the local government, being a Street or For the 2000 and 2010 censuses, the population of the city is composed ta from 1991 to 2011 refer to Sunderland, Whitburn, Washington, Chester- 53 81 ures from 1990 to 2000 are based on the Keihinyo M.M.A., and figures from Data from 1951 to 1981 refer to Conurbation, while data from 1991 to 2011 Refers to the Greater Copenhagen Region as defined from 1999 onward Having a Resident Committee. 1960 to 1985 are based on the Keihin M.M.A. As a reference, the population of population in all urban areas of three districts of the city (Xiangzhou, le-Street and 9 other sub-divisions of the urban agglomeration. The limits of 112 refer to Urban area. consisting of (parts of) 16 municipalities. The limits of the urban agglomera- For the 1990 census, the data reflect all residents of urban areas of the city. of Tokyo-to was estimated at 12.1 million persons and of the Tokyo Ku-area Doumen, and Jinwan) meeting the criteria such as contiguous built-up ar- the urban agglomerations of Newport and Reading-Wokingham have been 54 For the 1982 and 1990 censuses, the data reflect all residents of urban ar- tion have been modified between 1970 and 1976. For the 2000 and 2010 censuses, the population of the city is composed of at 8.1 million in 2000. eas, being the location of the local government, being a Street or Having a modified between 1981 and 1991. 82 eas of the city. For the 2000 and 2010 censuses, the population of the city is Refers to the Greater . Kuuala Lumpur is the capital and population in all urban areas of six city districts (Shinan, Shibei, Huangdao, 142 Resident Committee. 22 Data refer to the nuclei of Santa Fe de , Soacha, Chia and Funza. Refers to Grand Tunis, which consists of the communal (urban) populations composed of population in all urban areas of ten city districts (Liwan, Yuexiu, Putrajaya is the administrative capital. Laoshan, Licang, and Chengyang) meeting the criteria such as contiguous in the Governorates of Tunis, Ariana and Ben Arous. 164 For the 1982 and 1990 censuses, the data reflect all residents of urban 23 Refers to the "Região Integrada de Desenvolvimento do Distrito Federal e 83 Hanzhu, Tianhe, Baiyun, Huangpu, Panyu, Huadu, Nansha, Luogang) meeting For the 1982 and 1990 censuses, the data reflect all residents of urban are- built-up areas, being the location of the local government, being a Street or 143 For the 1982 and 1990 censuses, the data reflect all residents of urban areas areas of the city. For the 2000 and 2010 censuses, the population of the Entorno". the criteria such as contiguous built-up areas, being the location of the local as of the city. For the 2000 and 2010 censuses, the population of the city is Having a Resident Committee. 24 113 of the city. For the 2000 and 2010 censuses, the population of the city is com- city is composed of population in all urban areas of four districts of the city Refers to Greater Brisbane. government, being a Street or Having a Resident Committee. composed of population in all urban areas of six districts (Wuhua, Panlong, For the 1982 and 1990 censuses, the data reflect all residents of urban (Hetang, Lusong, Shifeng, and Tianyuan) meeting the criteria such as con- 25 55 posed of population in all urban areas of seven districts of the city (Taishan, Data refer to the population of Brussels-Capital Region and "communes" of For the 1982 and 1990 censuses, the data reflect all residents of urban Guandu, Xishan, Dongchuan, and Chenggong) meeting the criteria such as areas of the city. For the 2000 and 2010 censuses, the population of the Shayibake, Xinshi, Shuimogou, Toudunhe, Dabancheng, and Midong) meeting tiguous built-up areas, being the location of the local government, being a the agglomeration and suburbs. areas of the city. For the 2000 and 2010 censuses, the population of the contiguous built-up areas, being the location of the local government, being city is composed of population in all urban areas of three districts of the city Street or Having a Resident Committee. 26 the criteria such as contiguous built-up areas, being the location of the local Refers to Gran Buenos Aires. Data for 2001 and 2010 refer to the urban city is composed of population in all urban areas of six districts (Xiufeng, a Street or Having a Resident Committee. (Haigang, Shanhaiguan, and Beidaihe) meeting the criteria such as contigu- 165 For the 1990 census, the data reflect all residents of urban areas of the city. 84 government, being a Street or Having a Resident Committee. agglomeration including Buenos Aires city, 24 districts of Gran Buenos Aires Diecaim, Xiangshan, Qixing, Yanshan and Lingui) meeting the criteria such Refers to Lagos State. ous built-up areas, being the location of the local government, being a Street 144 For the 1982 and 1990 censuses, the data reflect all residents of urban For the 2000 and 2010 censuses, the population of the city is composed of and some districts of the suburbs. as contiguous built-up areas, being the location of the local government, 85 For the 1982 and 1990 censuses, the data reflect all residents of urban or Having a Resident Committee. population in all urban areas of five districts of the city (Zichuan, Zhangdian, 27 114 areas of the city. For the 2000 and 2010 censuses, the population of the Data refer to the urban population of the city. being a Street or Having a Resident Committee. areas of the city. For the 2000 and 2010 censuses, the population of the For the 1990 census, the data reflect all residents of urban districts of the city is composed of population in all urban areas of four districts of the city Boshan, Linzi, and Zhoucun) meeting the criteria such as contiguous built-up 28 56 Refers to the Census Metropolitan Area. For the 1990 census, the data reflect all residents of urban areas of the city. city is composed of population in all urban areas of five districts of the city city. For the 2000 and 2010 censuses, the population of the city is composed (Weicheng, Hanting, Fangzi, and Kuiwen) meeting the criteria such as con- areas, being the location of the local government, being a Street or Having a 29 Refers to the Municipality of El Libertador in the Federal District, the For the 2000 and 2010 censuses, the population of the city is composed of (Chengguan, Qilihe, Xigu, Anning, and Honggu) meeting the criteria such as of population in all Street Resident Committees in seven districts (Longsha, tiguous built-up areas, being the location of the local government, being a Resident Committee. Municipality of Sucre in the State of Miranda, and the parishes of Carrizal population in all urban areas of six city districts (Nanming, Yunyan, Huaxi, contiguous built-up areas, being the location of the local government, being Jianhua, Tiefeng, Ang'ang'xi. Fulaerji, Yanzishan, and Meilisidawoerzu). 115 Street or Having a Resident Committee. (Municipality of Carrizal), Cecilio Acosta (Municipality of Guaicaipuro), and Wudang, Baiyun, and Guanshanhu) meeting the criteria such as contiguous a Street or Having a Resident Committee. For the 1990 census, the data reflect all residents of urban areas of the city. 145 For the 1982 and 1990 censuses, the data reflect all residents of urban 86 San Antonio (Municipality of Las Salias) in the State of Miranda. built-up areas, being the location of the local government, being a Street or For the 1982 and 1990 censuses, the data reflect all residents of urban For the 2000 and 2010 censuses, the population of the city is composed of areas of the city. For the 2000 and 2010 censuses, the population of the 30 For the 1982 and 1990 censuses, the data reflect all residents of urban Having a Resident Committee. areas of the city. For the 2000 and 2010 censuses, the population of the population in all urban areas of four districts of the city (Licheng, Fengze, 57 city is composed of population in all urban areas of three districts of the city areas of the city. For the 2000 and 2010 censuses, the population of the Data refer to urban population in the city districts. Data after 2008 include city is composed of population in all urban areas of three districts of the Luojiang, and Quangang) meeting the criteria such as contiguous built-up (Lucheng, Longwan, and Ouhai) meeting the criteria such as contiguous city is composed of population in all urban areas of six districts (Nanguan, urban population in former Ha Tay Province. city (Lianyun, Xinpu, and Haizhou) meeting the criteria such as contiguous areas, being the location of the local government, being a Street or Having built-up areas, being the location of the local government, being a Street or USD 10 Kuancheng, Chaoyang, Erdao, Lvyuan, and Shuangyang) meeting the crite- 58 For the 1982 and 1990 censuses, the data reflect all residents of urban areas built-up areas, being the location of the local government, being a Street or a Resident Committee. 116 Having a Resident Committee. ria such as contiguous built-up areas, being the location of the local govern- of the city. For the 2000 and 2010 censuses, the population of the city is com- Having a Resident Committee. Includes Salé and Temara. 146 For the 1982 and 1990 censuses, the data reflect all residents of urban ar- ISBN 978-92-1-151525-1 87 117 ment, being a Street or Having a Resident Committee. posed of population in all urban areas of eight city districts (Daoli, Nangang, Refers to Gran Lima, which consists of the capitals of the departments of For the 1990 census, the data reflect all residents of urban areas of the city. For eas of the city. For the 2000 and 2010 censuses, the population of the city 31 For the 1982 and 1990 censuses, the data reflect all residents of urban Daowai, Songbei, Xiangfang, Pingfang, Hulan, and Acheng) meeting the crite- Lima and Callao and surrounding populated centres. the 2000 and 2010 censuses, the population of the city is composed of popula- is composed of population in all urban areas of thirteen districts of the city areas of the city. For the 2000 and 2010 censuses, the population of the ria such as contiguous built-up areas, being the location of the local govern- 88 For the 1990 census, the data reflect all residents of urban areas of the tion in all urban areas of two districts of the city (Donggang and Lanshan) meet- (Jiang'an, Jianghan, Qiaokou, Hangyan, Wuchang, Qingshan, Hongshan, city is composed of population in all urban areas of six districts (Furong, ment, being a Street or Having a Resident Committee. city. For the 2000 and 2010 censuses, the population of the city is com- ing the criteria such as contiguous built-up areas, being the location of the local Dongxihu, Hannan, Caidian, Jiangxia, Huangpo, and Xinzhou) meeting the Tianxin, Yuelu, Kaifu, Yuhua, and Wangcheng) meeting the criteria such as 59 For the 1990 census, the data reflect all residents of urban areas of the city. posed of population in all urban areas of three districts of the city (Lanshan, government, being a Street or Having a Resident Committee. criteria such as contiguous built-up areas, being the location of the local contiguous built-up areas, being the location of the local government, being For the 2000 and 2010 censuses, the population of the city is composed of Luozhuang, and Hedong) meeting the criteria such as contiguous built-up 118 Refers to Gran Rosario. government, being a Street or Having a Resident Committee. a Street or Having a Resident Committee. population in all urban areas of four city districts (Meilan, Longhua, Xiuying, areas, being the location of the local government, being a Street or Having 119 Data refer to the urban population of cantons. 147 For the 1982 and 1990 censuses, the data reflect all residents of urban 32 Data refer to the cities of Changwon, Masan and Jinhen. and Qiongshan) meeting the criteria such as contiguous built-up areas, be- a Resident Committee. 120 Refers to the Metropolitan Statistical Area. The limits of the agglomeration areas of the city. For the 2000 and 2010 censuses, the population of the 33 For the 1982 and 1990 censuses, the data reflect all residents of urban ing the location of the local government, being a Street or Having a Resident 89 Refers to Grande Lisboa, the Peninsula of Setúbal, and the municipality have been modified between 1980 and 1990. city is composed of population in all urban areas of four districts of the city areas of the city. For the 2000 and 2010 censuses, the population of the Committee. Azambuja. 121 Data refer to the urban parts of the municipios San Salvador, Mejicanos, (Jinghu, Gejiang, Jiujiang, and Sanshan) meeting the criteria such as con- city is composed of population in all urban areas of five districts (Tianning, 60 Excluding Refugees or Internally Displaced Persons (if applicable). 90 For the 1982 and 1990 censuses, the data reflect all residents of urban ar- Soyapango, Delgado, Ilopango, Cuscatancingo, Ayutuxtepeque and San tiguous built-up areas, being the location of the local government, being a 61 Zhonglou, Qishuyan, Xinbei, and Wujin) meeting the criteria such as con- For the 1990 census, the data reflect all residents of urban areas of the city. eas of the city. For the 2000 and 2010 censuses, the population of the city Marcos. Street or Having a Resident Committee. asdfUnited Nations