mirror of
https://github.com/olehomelchenko/stat230-2025-portfolio-template.git
synced 2025-12-21 21:22:28 +00:00
13 KiB
13 KiB
| 1 | Entity | Year | population | pop_projected |
|---|---|---|---|---|
| 2 | Bangalore | 1950 | 0.745999 | |
| 3 | Bangalore | 1955 | 0.939396 | |
| 4 | Bangalore | 1960 | 1.165978 | |
| 5 | Bangalore | 1965 | 1.377314 | |
| 6 | Bangalore | 1970 | 1.614756 | |
| 7 | Bangalore | 1975 | 2.110599 | |
| 8 | Bangalore | 1980 | 2.812428 | |
| 9 | Bangalore | 1985 | 3.397214 | |
| 10 | Bangalore | 1990 | 4.042598 | |
| 11 | Bangalore | 1995 | 4.754228 | |
| 12 | Bangalore | 2000 | 5.581263 | |
| 13 | Bangalore | 2005 | 6.785901 | |
| 14 | Bangalore | 2010 | 8.295564 | |
| 15 | Bangalore | 2015 | 10.14108 | |
| 16 | Bangalore | 2020 | 12.326532 | |
| 17 | Bangalore | 2025 | 14.395443 | |
| 18 | Bangalore | 2030 | 16.226826 | |
| 19 | Bangalore | 2035 | 18.065541 | |
| 20 | Beijing | 1950 | 1.671365 | |
| 21 | Beijing | 1955 | 2.364625 | |
| 22 | Beijing | 1960 | 3.900441 | |
| 23 | Beijing | 1965 | 4.582017 | |
| 24 | Beijing | 1970 | 4.426045 | |
| 25 | Beijing | 1975 | 4.827973 | |
| 26 | Beijing | 1980 | 5.366372 | |
| 27 | Beijing | 1985 | 6.017488 | |
| 28 | Beijing | 1990 | 6.787737 | |
| 29 | Beijing | 1995 | 8.355148 | |
| 30 | Beijing | 2000 | 10.285091 | |
| 31 | Beijing | 2005 | 12.991292 | |
| 32 | Beijing | 2010 | 16.441252 | |
| 33 | Beijing | 2015 | 18.421198 | |
| 34 | Beijing | 2020 | 20.46261 | |
| 35 | Beijing | 2025 | 22.596455 | |
| 36 | Beijing | 2030 | 24.281913 | |
| 37 | Beijing | 2035 | 25.36592 | |
| 38 | Bogota | 1950 | 0.630315 | |
| 39 | Bogota | 1955 | 0.894187 | |
| 40 | Bogota | 1960 | 1.268645 | |
| 41 | Bogota | 1965 | 1.779758 | |
| 42 | Bogota | 1970 | 2.383425 | |
| 43 | Bogota | 1975 | 3.040465 | |
| 44 | Bogota | 1980 | 3.525154 | |
| 45 | Bogota | 1985 | 4.086775 | |
| 46 | Bogota | 1990 | 4.740448 | |
| 47 | Bogota | 1995 | 5.488071 | |
| 48 | Bogota | 2000 | 6.329384 | |
| 49 | Bogota | 2005 | 7.299095 | |
| 50 | Bogota | 2010 | 8.417705 | |
| 51 | Bogota | 2015 | 9.707746 | |
| 52 | Bogota | 2020 | 10.97836 | |
| 53 | Bogota | 2025 | 11.795829 | |
| 54 | Bogota | 2030 | 12.343364 | |
| 55 | Bogota | 2035 | 12.753324 | |
| 56 | Buenos Aires | 1950 | 5.16614 | |
| 57 | Buenos Aires | 1955 | 5.910271 | |
| 58 | Buenos Aires | 1960 | 6.761837 | |
| 59 | Buenos Aires | 1965 | 7.548511 | |
| 60 | Buenos Aires | 1970 | 8.41617 | |
| 61 | Buenos Aires | 1975 | 9.143219 | |
| 62 | Buenos Aires | 1980 | 9.919781 | |
| 63 | Buenos Aires | 1985 | 10.523442 | |
| 64 | Buenos Aires | 1990 | 11.147566 | |
| 65 | Buenos Aires | 1995 | 11.806407 | |
| 66 | Buenos Aires | 2000 | 12.503871 | |
| 67 | Buenos Aires | 2005 | 13.32954 | |
| 68 | Buenos Aires | 2010 | 14.245871 | |
| 69 | Buenos Aires | 2015 | 14.705533 | |
| 70 | Buenos Aires | 2020 | 15.153729 | |
| 71 | Buenos Aires | 2025 | 15.752275 | |
| 72 | Buenos Aires | 2030 | 16.456115 | |
| 73 | Buenos Aires | 2035 | 17.127741 | |
| 74 | Cairo | 1950 | 2.493514 | |
| 75 | Cairo | 1955 | 3.029198 | |
| 76 | Cairo | 1960 | 3.68016 | |
| 77 | Cairo | 1965 | 4.737968 | |
| 78 | Cairo | 1970 | 5.584507 | |
| 79 | Cairo | 1975 | 6.449922 | |
| 80 | Cairo | 1980 | 7.348778 | |
| 81 | Cairo | 1985 | 8.328255 | |
| 82 | Cairo | 1990 | 9.892143 | |
| 83 | Cairo | 1995 | 11.961986 | |
| 84 | Cairo | 2000 | 13.625565 | |
| 85 | Cairo | 2005 | 15.17405 | |
| 86 | Cairo | 2010 | 16.899015 | |
| 87 | Cairo | 2015 | 18.820072 | |
| 88 | Cairo | 2020 | 20.900604 | |
| 89 | Cairo | 2025 | 23.074225 | |
| 90 | Cairo | 2030 | 25.516696 | |
| 91 | Cairo | 2035 | 28.504351 | |
| 92 | Chongqing | 1950 | 1.566966 | |
| 93 | Chongqing | 1955 | 1.913248 | |
| 94 | Chongqing | 1960 | 2.275158 | |
| 95 | Chongqing | 1965 | 2.188064 | |
| 96 | Chongqing | 1970 | 2.237344 | |
| 97 | Chongqing | 1975 | 2.544566 | |
| 98 | Chongqing | 1980 | 2.9614 | |
| 99 | Chongqing | 1985 | 3.44623 | |
| 100 | Chongqing | 1990 | 4.010602 | |
| 101 | Chongqing | 1995 | 5.615367 | |
| 102 | Chongqing | 2000 | 7.862976 | |
| 103 | Chongqing | 2005 | 9.454076 | |
| 104 | Chongqing | 2010 | 11.243667 | |
| 105 | Chongqing | 2015 | 13.372015 | |
| 106 | Chongqing | 2020 | 15.872179 | |
| 107 | Chongqing | 2025 | 18.171198 | |
| 108 | Chongqing | 2030 | 19.649097 | |
| 109 | Chongqing | 2035 | 20.531266 | |
| 110 | Delhi | 1950 | 1.369369 | |
| 111 | Delhi | 1955 | 1.781624 | |
| 112 | Delhi | 1960 | 2.282962 | |
| 113 | Delhi | 1965 | 2.845042 | |
| 114 | Delhi | 1970 | 3.530693 | |
| 115 | Delhi | 1975 | 4.436385 | |
| 116 | Delhi | 1980 | 5.587014 | |
| 117 | Delhi | 1985 | 7.225758 | |
| 118 | Delhi | 1990 | 9.384209 | |
| 119 | Delhi | 1995 | 12.138233 | |
| 120 | Delhi | 2000 | 15.691899 | |
| 121 | Delhi | 2005 | 18.69133 | |
| 122 | Delhi | 2010 | 21.987895 | |
| 123 | Delhi | 2015 | 25.865875 | |
| 124 | Delhi | 2020 | 30.290936 | |
| 125 | Delhi | 2025 | 34.665569 | |
| 126 | Delhi | 2030 | 38.938697 | |
| 127 | Delhi | 2035 | 43.345059 | |
| 128 | Dhaka | 1950 | 0.33576 | |
| 129 | Dhaka | 1955 | 0.408866 | |
| 130 | Dhaka | 1960 | 0.507921 | |
| 131 | Dhaka | 1965 | 0.82074 | |
| 132 | Dhaka | 1970 | 1.373718 | |
| 133 | Dhaka | 1975 | 2.221055 | |
| 134 | Dhaka | 1980 | 3.265663 | |
| 135 | Dhaka | 1985 | 4.660384 | |
| 136 | Dhaka | 1990 | 6.620697 | |
| 137 | Dhaka | 1995 | 8.332474 | |
| 138 | Dhaka | 2000 | 10.284947 | |
| 139 | Dhaka | 2005 | 12.330879 | |
| 140 | Dhaka | 2010 | 14.730537 | |
| 141 | Dhaka | 2015 | 17.597177 | |
| 142 | Dhaka | 2020 | 21.00586 | |
| 143 | Dhaka | 2025 | 24.652864 | |
| 144 | Dhaka | 2030 | 28.07566 | |
| 145 | Dhaka | 2035 | 31.233651 | |
| 146 | Guangzhou | 1950 | 1.048975 | |
| 147 | Guangzhou | 1955 | 1.155063 | |
| 148 | Guangzhou | 1960 | 1.271914 | |
| 149 | Guangzhou | 1965 | 1.400511 | |
| 150 | Guangzhou | 1970 | 1.542151 | |
| 151 | Guangzhou | 1975 | 1.698116 | |
| 152 | Guangzhou | 1980 | 1.869905 | |
| 153 | Guangzhou | 1985 | 2.355566 | |
| 154 | Guangzhou | 1990 | 3.245991 | |
| 155 | Guangzhou | 1995 | 5.035339 | |
| 156 | Guangzhou | 2000 | 7.812008 | |
| 157 | Guangzhou | 2005 | 9.055056 | |
| 158 | Guangzhou | 2010 | 10.278197 | |
| 159 | Guangzhou | 2015 | 11.694882 | |
| 160 | Guangzhou | 2020 | 13.301532 | |
| 161 | Guangzhou | 2025 | 14.878691 | |
| 162 | Guangzhou | 2030 | 16.024165 | |
| 163 | Guangzhou | 2035 | 16.740973 | |
| 164 | Istanbul | 1950 | 0.967497 | |
| 165 | Istanbul | 1955 | 1.248709 | |
| 166 | Istanbul | 1960 | 1.453353 | |
| 167 | Istanbul | 1965 | 2.001192 | |
| 168 | Istanbul | 1970 | 2.772095 | |
| 169 | Istanbul | 1975 | 3.600332 | |
| 170 | Istanbul | 1980 | 4.397037 | |
| 171 | Istanbul | 1985 | 5.407297 | |
| 172 | Istanbul | 1990 | 6.55216 | |
| 173 | Istanbul | 1995 | 7.665403 | |
| 174 | Istanbul | 2000 | 8.743868 | |
| 175 | Istanbul | 2005 | 10.465694 | |
| 176 | Istanbul | 2010 | 12.584885 | |
| 177 | Istanbul | 2015 | 14.126772 | |
| 178 | Istanbul | 2020 | 15.190336 | |
| 179 | Istanbul | 2025 | 16.236703 | |
| 180 | Istanbul | 2030 | 17.12424 | |
| 181 | Istanbul | 2035 | 17.986297 | |
| 182 | Jakarta | 1950 | 1.452 | |
| 183 | Jakarta | 1955 | 1.972106 | |
| 184 | Jakarta | 1960 | 2.67874 | |
| 185 | Jakarta | 1965 | 3.296964 | |
| 186 | Jakarta | 1970 | 3.915406 | |
| 187 | Jakarta | 1975 | 4.813132 | |
| 188 | Jakarta | 1980 | 5.984256 | |
| 189 | Jakarta | 1985 | 7.00903 | |
| 190 | Jakarta | 1990 | 8.174756 | |
| 191 | Jakarta | 1995 | 8.321858 | |
| 192 | Jakarta | 2000 | 8.389759 | |
| 193 | Jakarta | 2005 | 8.988406 | |
| 194 | Jakarta | 2010 | 9.625579 | |
| 195 | Jakarta | 2015 | 10.173388 | |
| 196 | Jakarta | 2020 | 10.770487 | |
| 197 | Jakarta | 2025 | 11.634078 | |
| 198 | Jakarta | 2030 | 12.686756 | |
| 199 | Jakarta | 2035 | 13.688321 | |
| 200 | Karachi | 1950 | 1.05538 | |
| 201 | Karachi | 1955 | 1.419491 | |
| 202 | Karachi | 1960 | 1.853325 | |
| 203 | Karachi | 1965 | 2.405037 | |
| 204 | Karachi | 1970 | 3.118723 | |
| 205 | Karachi | 1975 | 3.989191 | |
| 206 | Karachi | 1980 | 5.047815 | |
| 207 | Karachi | 1985 | 6.032582 | |
| 208 | Karachi | 1990 | 7.147064 | |
| 209 | Karachi | 1995 | 8.467439 | |
| 210 | Karachi | 2000 | 9.825295 | |
| 211 | Karachi | 2005 | 11.131559 | |
| 212 | Karachi | 2010 | 12.611924 | |
| 213 | Karachi | 2015 | 14.28916 | |
| 214 | Karachi | 2020 | 16.093786 | |
| 215 | Karachi | 2025 | 18.076794 | |
| 216 | Karachi | 2030 | 20.431848 | |
| 217 | Karachi | 2035 | 23.128137 | |
| 218 | Kinshasa | 1950 | 0.201905 | |
| 219 | Kinshasa | 1955 | 0.292398 | |
| 220 | Kinshasa | 1960 | 0.442853 | |
| 221 | Kinshasa | 1965 | 0.717018 | |
| 222 | Kinshasa | 1970 | 1.069714 | |
| 223 | Kinshasa | 1975 | 1.48182 | |
| 224 | Kinshasa | 1980 | 2.052874 | |
| 225 | Kinshasa | 1985 | 2.811896 | |
| 226 | Kinshasa | 1990 | 3.683274 | |
| 227 | Kinshasa | 1995 | 4.824684 | |
| 228 | Kinshasa | 2000 | 6.140419 | |
| 229 | Kinshasa | 2005 | 7.589069 | |
| 230 | Kinshasa | 2010 | 9.381673 | |
| 231 | Kinshasa | 2015 | 11.597706 | |
| 232 | Kinshasa | 2020 | 14.342439 | |
| 233 | Kinshasa | 2025 | 17.778474 | |
| 234 | Kinshasa | 2030 | 21.914342 | |
| 235 | Kinshasa | 2035 | 26.681825 | |
| 236 | Kolkata | 1950 | 4.604143 | |
| 237 | Kolkata | 1955 | 5.219086 | |
| 238 | Kolkata | 1960 | 5.91021 | |
| 239 | Kolkata | 1965 | 6.589384 | |
| 240 | Kolkata | 1970 | 7.329372 | |
| 241 | Kolkata | 1975 | 8.165629 | |
| 242 | Kolkata | 1980 | 9.100166 | |
| 243 | Kolkata | 1985 | 10.003665 | |
| 244 | Kolkata | 1990 | 10.974177 | |
| 245 | Kolkata | 1995 | 11.992194 | |
| 246 | Kolkata | 2000 | 13.097153 | |
| 247 | Kolkata | 2005 | 13.595152 | |
| 248 | Kolkata | 2010 | 14.002798 | |
| 249 | Kolkata | 2015 | 14.42267 | |
| 250 | Kolkata | 2020 | 14.850066 | |
| 251 | Kolkata | 2025 | 15.845219 | |
| 252 | Kolkata | 2030 | 17.583604 | |
| 253 | Kolkata | 2035 | 19.56417 | |
| 254 | Lagos | 1950 | 0.325218 | |
| 255 | Lagos | 1955 | 0.46846 | |
| 256 | Lagos | 1960 | 0.762418 | |
| 257 | Lagos | 1965 | 1.135439 | |
| 258 | Lagos | 1970 | 1.413528 | |
| 259 | Lagos | 1975 | 1.889802 | |
| 260 | Lagos | 1980 | 2.572218 | |
| 261 | Lagos | 1985 | 3.500464 | |
| 262 | Lagos | 1990 | 4.764093 | |
| 263 | Lagos | 1995 | 5.98268 | |
| 264 | Lagos | 2000 | 7.280706 | |
| 265 | Lagos | 2005 | 8.859399 | |
| 266 | Lagos | 2010 | 10.441182 | |
| 267 | Lagos | 2015 | 12.239206 | |
| 268 | Lagos | 2020 | 14.368332 | |
| 269 | Lagos | 2025 | 17.156393 | |
| 270 | Lagos | 2030 | 20.600156 | |
| 271 | Lagos | 2035 | 24.418768 | |
| 272 | Lahore | 1950 | 0.835769 | |
| 273 | Lahore | 1955 | 1.021679 | |
| 274 | Lahore | 1960 | 1.264277 | |
| 275 | Lahore | 1965 | 1.574981 | |
| 276 | Lahore | 1970 | 1.963951 | |
| 277 | Lahore | 1975 | 2.398576 | |
| 278 | Lahore | 1980 | 2.881596 | |
| 279 | Lahore | 1985 | 3.387873 | |
| 280 | Lahore | 1990 | 3.970161 | |
| 281 | Lahore | 1995 | 4.652529 | |
| 282 | Lahore | 2000 | 5.576372 | |
| 283 | Lahore | 2005 | 6.856969 | |
| 284 | Lahore | 2010 | 8.432132 | |
| 285 | Lahore | 2015 | 10.369137 | |
| 286 | Lahore | 2020 | 12.642423 | |
| 287 | Lahore | 2025 | 14.825828 | |
| 288 | Lahore | 2030 | 16.883085 | |
| 289 | Lahore | 2035 | 19.116605 | |
| 290 | Los Angeles | 1950 | 4.045514 | |
| 291 | Los Angeles | 1955 | 5.154301 | |
| 292 | Los Angeles | 1960 | 6.529638 | |
| 293 | Los Angeles | 1965 | 7.407634 | |
| 294 | Los Angeles | 1970 | 8.377685 | |
| 295 | Los Angeles | 1975 | 8.925518 | |
| 296 | Los Angeles | 1980 | 9.511568 | |
| 297 | Los Angeles | 1985 | 10.181172 | |
| 298 | Los Angeles | 1990 | 10.883429 | |
| 299 | Los Angeles | 1995 | 11.33889 | |
| 300 | Los Angeles | 2000 | 11.798345 | |
| 301 | Los Angeles | 2005 | 11.977857 | |
| 302 | Los Angeles | 2010 | 12.160151 | |
| 303 | Los Angeles | 2015 | 12.345219 | |
| 304 | Los Angeles | 2020 | 12.446597 | |
| 305 | Los Angeles | 2025 | 12.677559 | |
| 306 | Los Angeles | 2030 | 13.209244 | |
| 307 | Los Angeles | 2035 | 13.778153 | |
| 308 | Manila | 1950 | 1.543666 | |
| 309 | Manila | 1955 | 1.871605 | |
| 310 | Manila | 1960 | 2.273734 | |
| 311 | Manila | 1965 | 2.828883 | |
| 312 | Manila | 1970 | 3.534309 | |
| 313 | Manila | 1975 | 4.999303 | |
| 314 | Manila | 1980 | 5.954719 | |
| 315 | Manila | 1985 | 6.88792 | |
| 316 | Manila | 1990 | 7.972799 | |
| 317 | Manila | 1995 | 9.401255 | |
| 318 | Manila | 2000 | 9.957962 | |
| 319 | Manila | 2005 | 10.750752 | |
| 320 | Manila | 2010 | 11.887189 | |
| 321 | Manila | 2015 | 12.860058 | |
| 322 | Manila | 2020 | 13.923452 | |
| 323 | Manila | 2025 | 15.230559 | |
| 324 | Manila | 2030 | 16.84134 | |
| 325 | Manila | 2035 | 18.649422 | |
| 326 | Mexico City | 1950 | 3.365081 | |
| 327 | Mexico City | 1955 | 4.293878 | |
| 328 | Mexico City | 1960 | 5.479184 | |
| 329 | Mexico City | 1965 | 6.969157 | |
| 330 | Mexico City | 1970 | 8.830947 | |
| 331 | Mexico City | 1975 | 10.73386 | |
| 332 | Mexico City | 1980 | 13.02762 | |
| 333 | Mexico City | 1985 | 14.278216 | |
| 334 | Mexico City | 1990 | 15.642318 | |
| 335 | Mexico City | 1995 | 17.017469 | |
| 336 | Mexico City | 2000 | 18.457027 | |
| 337 | Mexico City | 2005 | 19.276065 | |
| 338 | Mexico City | 2010 | 20.136681 | |
| 339 | Mexico City | 2015 | 21.339781 | |
| 340 | Mexico City | 2020 | 21.782378 | |
| 341 | Mexico City | 2025 | 22.752414 | |
| 342 | Mexico City | 2030 | 24.110599 | |
| 343 | Mexico City | 2035 | 25.414624 | |
| 344 | Moscow | 1950 | 5.356392 | |
| 345 | Moscow | 1955 | 5.748746 | |
| 346 | Moscow | 1960 | 6.169961 | |
| 347 | Moscow | 1965 | 6.62178 | |
| 348 | Moscow | 1970 | 7.106457 | |
| 349 | Moscow | 1975 | 7.622703 | |
| 350 | Moscow | 1980 | 8.136141 | |
| 351 | Moscow | 1985 | 8.57992 | |
| 352 | Moscow | 1990 | 8.986631 | |
| 353 | Moscow | 1995 | 9.200994 | |
| 354 | Moscow | 2000 | 10.004523 | |
| 355 | Moscow | 2005 | 10.751428 | |
| 356 | Moscow | 2010 | 11.461264 | |
| 357 | Moscow | 2015 | 12.049135 | |
| 358 | Moscow | 2020 | 12.537954 | |
| 359 | Moscow | 2025 | 12.737356 | |
| 360 | Moscow | 2030 | 12.795712 | |
| 361 | Moscow | 2035 | 12.822748 | |
| 362 | Mumbai | 1950 | 3.088811 | |
| 363 | Mumbai | 1955 | 3.72621 | |
| 364 | Mumbai | 1960 | 4.414904 | |
| 365 | Mumbai | 1965 | 5.3143 | |
| 366 | Mumbai | 1970 | 6.412876 | |
| 367 | Mumbai | 1975 | 7.685346 | |
| 368 | Mumbai | 1980 | 9.199543 | |
| 369 | Mumbai | 1985 | 10.68553 | |
| 370 | Mumbai | 1990 | 12.35509 | |
| 371 | Mumbai | 1995 | 14.135363 | |
| 372 | Mumbai | 2000 | 16.146527 | |
| 373 | Mumbai | 2005 | 17.257072 | |
| 374 | Mumbai | 2010 | 18.257413 | |
| 375 | Mumbai | 2015 | 19.315737 | |
| 376 | Mumbai | 2020 | 20.411274 | |
| 377 | Mumbai | 2025 | 22.088953 | |
| 378 | Mumbai | 2030 | 24.57245 | |
| 379 | Mumbai | 2035 | 27.342819 | |
| 380 | New York | 1950 | 12.338471 | |
| 381 | New York | 1955 | 13.219362 | |
| 382 | New York | 1960 | 14.163521 | |
| 383 | New York | 1965 | 15.176758 | |
| 384 | New York | 1970 | 16.19118 | |
| 385 | New York | 1975 | 15.880271 | |
| 386 | New York | 1980 | 15.601401 | |
| 387 | New York | 1985 | 15.826788 | |
| 388 | New York | 1990 | 16.085599 | |
| 389 | New York | 1995 | 16.94277 | |
| 390 | New York | 2000 | 17.813371 | |
| 391 | New York | 2005 | 18.087174 | |
| 392 | New York | 2010 | 18.365262 | |
| 393 | New York | 2015 | 18.647626 | |
| 394 | New York | 2020 | 18.803552 | |
| 395 | New York | 2025 | 19.154024 | |
| 396 | New York | 2030 | 19.957605 | |
| 397 | New York | 2035 | 20.81717 | |
| 398 | Osaka | 1950 | 7.005284 | |
| 399 | Osaka | 1955 | 8.622976 | |
| 400 | Osaka | 1960 | 10.614841 | |
| 401 | Osaka | 1965 | 13.065322 | |
| 402 | Osaka | 1970 | 15.27151 | |
| 403 | Osaka | 1975 | 16.298124 | |
| 404 | Osaka | 1980 | 17.027547 | |
| 405 | Osaka | 1985 | 17.582632 | |
| 406 | Osaka | 1990 | 18.388783 | |
| 407 | Osaka | 1995 | 18.939588 | |
| 408 | Osaka | 2000 | 18.660022 | |
| 409 | Osaka | 2005 | 18.762099 | |
| 410 | Osaka | 2010 | 19.312646 | |
| 411 | Osaka | 2015 | 19.304722 | |
| 412 | Osaka | 2020 | 19.16534 | |
| 413 | Osaka | 2025 | 18.921632 | |
| 414 | Osaka | 2030 | 18.658055 | |
| 415 | Osaka | 2035 | 18.345611 | |
| 416 | Paris | 1950 | 6.283018 | |
| 417 | Paris | 1955 | 6.796437 | |
| 418 | Paris | 1960 | 7.410735 | |
| 419 | Paris | 1965 | 7.855185 | |
| 420 | Paris | 1970 | 8.208121 | |
| 421 | Paris | 1975 | 8.557844 | |
| 422 | Paris | 1980 | 8.669349 | |
| 423 | Paris | 1985 | 8.956222 | |
| 424 | Paris | 1990 | 9.330327 | |
| 425 | Paris | 1995 | 9.510103 | |
| 426 | Paris | 2000 | 9.736538 | |
| 427 | Paris | 2005 | 10.091795 | |
| 428 | Paris | 2010 | 10.460118 | |
| 429 | Paris | 2015 | 10.733502 | |
| 430 | Paris | 2020 | 11.01723 | |
| 431 | Paris | 2025 | 11.346802 | |
| 432 | Paris | 2030 | 11.709788 | |
| 433 | Paris | 2035 | 12.064575 | |
| 434 | Rio de Janeiro | 1950 | 3.026195 | |
| 435 | Rio de Janeiro | 1955 | 3.687344 | |
| 436 | Rio de Janeiro | 1960 | 4.493182 | |
| 437 | Rio de Janeiro | 1965 | 5.522674 | |
| 438 | Rio de Janeiro | 1970 | 6.790519 | |
| 439 | Rio de Janeiro | 1975 | 7.733429 | |
| 440 | Rio de Janeiro | 1980 | 8.78387 | |
| 441 | Rio de Janeiro | 1985 | 9.241709 | |
| 442 | Rio de Janeiro | 1990 | 9.697487 | |
| 443 | Rio de Janeiro | 1995 | 10.431518 | |
| 444 | Rio de Janeiro | 2000 | 11.306768 | |
| 445 | Rio de Janeiro | 2005 | 11.831807 | |
| 446 | Rio de Janeiro | 2010 | 12.373884 | |
| 447 | Rio de Janeiro | 2015 | 12.940796 | |
| 448 | Rio de Janeiro | 2020 | 13.458075 | |
| 449 | Rio de Janeiro | 2025 | 13.923245 | |
| 450 | Rio de Janeiro | 2030 | 14.408259 | |
| 451 | Rio de Janeiro | 2035 | 14.81018 | |
| 452 | Sao Paulo | 1950 | 2.334038 | |
| 453 | Sao Paulo | 1955 | 3.043828 | |
| 454 | Sao Paulo | 1960 | 3.969759 | |
| 455 | Sao Paulo | 1965 | 5.49415 | |
| 456 | Sao Paulo | 1970 | 7.62049 | |
| 457 | Sao Paulo | 1975 | 9.614016 | |
| 458 | Sao Paulo | 1980 | 12.089454 | |
| 459 | Sao Paulo | 1985 | 13.394815 | |
| 460 | Sao Paulo | 1990 | 14.77584 | |
| 461 | Sao Paulo | 1995 | 15.913473 | |
| 462 | Sao Paulo | 2000 | 17.014078 | |
| 463 | Sao Paulo | 2005 | 18.288134 | |
| 464 | Sao Paulo | 2010 | 19.659808 | |
| 465 | Sao Paulo | 2015 | 20.883046 | |
| 466 | Sao Paulo | 2020 | 22.043028 | |
| 467 | Sao Paulo | 2025 | 22.990007 | |
| 468 | Sao Paulo | 2030 | 23.824223 | |
| 469 | Sao Paulo | 2035 | 24.490136 | |
| 470 | Shanghai | 1950 | 4.288091 | |
| 471 | Shanghai | 1955 | 5.712858 | |
| 472 | Shanghai | 1960 | 6.865312 | |
| 473 | Shanghai | 1965 | 6.428131 | |
| 474 | Shanghai | 1970 | 6.052468 | |
| 475 | Shanghai | 1975 | 5.658129 | |
| 476 | Shanghai | 1980 | 5.927898 | |
| 477 | Shanghai | 1985 | 7.09628 | |
| 478 | Shanghai | 1990 | 8.605812 | |
| 479 | Shanghai | 1995 | 11.072063 | |
| 480 | Shanghai | 2000 | 14.246541 | |
| 481 | Shanghai | 2005 | 17.055788 | |
| 482 | Shanghai | 2010 | 20.314309 | |
| 483 | Shanghai | 2015 | 23.482181 | |
| 484 | Shanghai | 2020 | 27.058479 | |
| 485 | Shanghai | 2025 | 30.48214 | |
| 486 | Shanghai | 2030 | 32.869265 | |
| 487 | Shanghai | 2035 | 34.341242 | |
| 488 | Shenzhen | 1950 | 0.003148 | |
| 489 | Shenzhen | 1955 | 0.005112 | |
| 490 | Shenzhen | 1960 | 0.008302 | |
| 491 | Shenzhen | 1965 | 0.01348 | |
| 492 | Shenzhen | 1970 | 0.02189 | |
| 493 | Shenzhen | 1975 | 0.035547 | |
| 494 | Shenzhen | 1980 | 0.058983 | |
| 495 | Shenzhen | 1985 | 0.193113 | |
| 496 | Shenzhen | 1990 | 0.875 | |
| 497 | Shenzhen | 1995 | 2.393747 | |
| 498 | Shenzhen | 2000 | 6.550414 | |
| 499 | Shenzhen | 2005 | 8.409066 | |
| 500 | Shenzhen | 2010 | 10.222916 | |
| 501 | Shenzhen | 2015 | 11.275391 | |
| 502 | Shenzhen | 2020 | 12.35682 | |
| 503 | Shenzhen | 2025 | 13.545445 | |
| 504 | Shenzhen | 2030 | 14.537252 | |
| 505 | Shenzhen | 2035 | 15.185481 | |
| 506 | Tianjin | 1950 | 2.467096 | |
| 507 | Tianjin | 1955 | 2.760676 | |
| 508 | Tianjin | 1960 | 2.935185 | |
| 509 | Tianjin | 1965 | 3.12062 | |
| 510 | Tianjin | 1970 | 3.317826 | |
| 511 | Tianjin | 1975 | 3.527495 | |
| 512 | Tianjin | 1980 | 3.750476 | |
| 513 | Tianjin | 1985 | 4.097324 | |
| 514 | Tianjin | 1990 | 4.558206 | |
| 515 | Tianjin | 1995 | 5.643951 | |
| 516 | Tianjin | 2000 | 6.988727 | |
| 517 | Tianjin | 2005 | 8.430065 | |
| 518 | Tianjin | 2010 | 10.150076 | |
| 519 | Tianjin | 2015 | 12.516041 | |
| 520 | Tianjin | 2020 | 13.589078 | |
| 521 | Tianjin | 2025 | 14.70408 | |
| 522 | Tianjin | 2030 | 15.74524 | |
| 523 | Tianjin | 2035 | 16.445898 | |
| 524 | Tokyo | 1950 | 11.274641 | |
| 525 | Tokyo | 1955 | 13.712679 | |
| 526 | Tokyo | 1960 | 16.678821 | |
| 527 | Tokyo | 1965 | 20.284371 | |
| 528 | Tokyo | 1970 | 23.297503 | |
| 529 | Tokyo | 1975 | 26.614733 | |
| 530 | Tokyo | 1980 | 28.548512 | |
| 531 | Tokyo | 1985 | 30.303794 | |
| 532 | Tokyo | 1990 | 32.530003 | |
| 533 | Tokyo | 1995 | 33.586573 | |
| 534 | Tokyo | 2000 | 34.449908 | |
| 535 | Tokyo | 2005 | 35.621544 | |
| 536 | Tokyo | 2010 | 36.859626 | |
| 537 | Tokyo | 2015 | 37.256109 | |
| 538 | Tokyo | 2020 | 37.393129 | |
| 539 | Tokyo | 2025 | 37.036204 | |
| 540 | Tokyo | 2030 | 36.573799 | |
| 541 | Tokyo | 2035 | 36.01403 |