Statistical Annex

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WORLD CITIES REPORT 2020

Statistical Annex General Disclaimer: The designations employed and presentation of the data in the Statistical Annex do not imply the expression of any opinion whatsover on the part of the Secretariat of the United Nations concerning the legal status of any country, city or area of its authorities, or concerning the delimitation of its frontiers or boundaries.

Table A.1: Urban Population Size and Rate of Change

Urban Population at Mid-Year by Country, Average Annual Rate Percentage of Population at Mid-Year Average Annual Rate of 2015-2030 (thousands) of Change of the Urban Residing in Urban Country and Area, Change of the Percentage Population by Country, 2015-2030 Urban by Country, 2015- 2015-2030 (per cent) 2030 (per cent) 2015- 2020- 2025- 2015- 2020- 2025- Region, subregion, country or area 2015 2020 2025 2030 2020 2025 2030 2015 2020 2025 2030 2020 2025 2030 WORLD 3,981,498 4,378,994 4,774,646 5,167,258 1.90 1.73 1.58 53.9 56.2 58.3 60.4 0.82 0.75 0.71 More developed regions 979,089 1,003,640 1,027,097 1,049,699 0.50 0.46 0.44 78.1 79.1 80.2 81.4 0.24 0.27 0.30 Less developed regions 3,002,409 3,375,354 3,747,549 4,117,558 2.34 2.09 1.88 49.0 51.7 54.3 56.7 1.09 0.97 0.88 Least developed countries 305,951 372,038 449,498 538,529 3.91 3.78 3.61 32.0 34.6 37.4 40.4 1.60 1.56 1.50 Less developed regions, excluding least 2,696,458 3,003,315 3,298,051 3,579,029 2.16 1.87 1.64 52.1 55.1 57.8 60.4 1.10 0.97 0.87 developed countries Less developed regions, excluding China 2,201,145 2,473,276 2,763,104 3,071,076 2.33 2.22 2.11 46.8 48.8 50.9 53.1 0.82 0.83 0.85 High-income countries 955,213 988,586 1,019,399 1,048,879 0.69 0.61 0.57 80.9 81.9 82.8 83.9 0.22 0.24 0.26 Middle-income countries 2,825,252 3,144,887 3,456,425 3,756,587 2.14 1.89 1.67 50.8 53.7 56.5 59.0 1.11 0.99 0.90 Upper-middle-income countries 1,659,611 1,821,036 1,957,223 2,068,825 1.86 1.44 1.11 64.1 68.2 71.7 74.8 1.23 1.01 0.82 Lower-middle-income countries 1,165,641 1,323,851 1,499,202 1,687,762 2.55 2.49 2.37 39.2 41.6 44.2 47.0 1.16 1.20 1.22 Low-income countries 198,536 242,877 296,030 358,848 4.03 3.96 3.85 30.9 33.2 35.7 38.3 1.40 1.44 1.45 Sub-Saharan Africa 375,827 458,670 555,123 666,165 3.98 3.82 3.65 38.8 41.4 44.2 47.0 1.33 1.28 1.22 AFRICA 491,531 587,738 698,149 824,014 3.58 3.44 3.32 41.2 43.5 45.9 48.4 1.09 1.08 1.06 Eastern Africa 106,096 132,520 164,482 202,579 4.45 4.32 4.17 26.6 29.0 31.6 34.5 1.74 1.75 1.74 Burundi 1,232 1,637 2,147 2,780 5.68 5.43 5.17 12.1 13.7 15.5 17.6 2.53 2.51 2.48 Comoros 221 255 296 345 2.87 2.97 3.06 28.5 29.4 30.7 32.5 0.63 0.89 1.14 Djibouti 718 781 844 906 1.67 1.56 1.42 77.4 78.1 78.9 80.0 0.17 0.22 0.26 Eritrea 1,852 2,246 2,699 3,210 3.86 3.67 3.47 38.2 41.3 44.6 47.8 1.58 1.50 1.40 Ethiopia 19,403 24,463 30,487 37,496 4.63 4.40 4.14 19.4 21.7 24.2 26.9 2.21 2.16 2.11 Kenya 12,120 14,975 18,372 22,383 4.23 4.09 3.95 25.7 28.0 30.6 33.4 1.74 1.77 1.78 Madagascar 8,529 10,670 13,200 16,102 4.48 4.26 3.97 35.2 38.5 41.9 45.2 1.81 1.68 1.53 Malawi 2,867 3,535 4,407 5,551 4.19 4.41 4.62 16.3 17.4 18.9 20.9 1.32 1.66 1.96 Mauritius 516 519 527 539 0.11 0.28 0.45 41.0 40.8 41.0 41.9 - 0.12 0.14 0.39 Mayotte 113 125 139 157 2.05 2.19 2.41 47.0 45.8 45.3 45.7 - 0.53 - 0.18 0.18 Mozambique 9,636 11,978 14,811 18,195 4.35 4.24 4.12 34.4 37.1 39.9 42.9 1.50 1.47 1.44 Réunion 858 893 927 956 0.82 0.73 0.62 99.3 99.7 99.8 99.9 0.06 0.03 0.01 Rwanda 1,977 2,281 2,660 3,144 2.86 3.07 3.34 17.0 17.4 18.3 19.6 0.50 0.96 1.40 Seychelles 52 55 58 61 1.26 0.99 0.81 55.4 57.5 59.7 61.7 0.76 0.72 0.69 Somalia 6,015 7,431 9,169 11,229 4.23 4.20 4.05 43.2 46.1 49.1 52.1 1.30 1.25 1.20 South Sudan 2,240 2,749 3,378 4,164 4.10 4.12 4.18 18.9 20.2 21.9 24.1 1.38 1.66 1.90 Uganda 8,856 11,775 15,431 19,914 5.70 5.41 5.10 22.1 25.0 28.0 31.2 2.47 2.31 2.15 United Republic of Tanzania 17,035 22,113 28,245 35,529 5.22 4.89 4.59 31.6 35.2 38.9 42.4 2.16 1.96 1.76 Zambia 6,747 8,336 10,257 12,549 4.23 4.15 4.03 41.9 44.6 47.5 50.5 1.26 1.25 1.22 Zimbabwe 5,109 5,700 6,430 7,370 2.19 2.41 2.73 32.4 32.2 32.9 34.2 - 0.09 0.38 0.83 Middle Africa 73,632 90,619 110,579 133,728 4.15 3.98 3.80 47.9 50.6 53.4 56.2 1.11 1.07 1.03 Angola 17,676 21,937 26,848 32,437 4.32 4.04 3.78 63.4 66.8 69.9 72.5 1.04 0.89 0.75 Cameroon 12,463 14,942 17,740 20,857 3.63 3.43 3.24 54.6 57.6 60.5 63.2 1.06 0.98 0.90

305 Statistical Annex

Table A.1: Continued

Urban Population at Mid-Year by Country, Average Annual Rate Percentage of Population at Mid-Year Average Annual Rate of 2015-2030 (thousands) of Change of the Urban Residing in Urban Country and Area, Change of the Percentage Population by Country, 2015-2030 Urban by Country, 2015- 2015-2030 (per cent) 2030 (per cent) 2015- 2020- 2025- 2015- 2020- 2025- Region, subregion, country or area 2015 2020 2025 2030 2020 2025 2030 2015 2020 2025 2030 2020 2025 2030 Central African Republic 1,831 2,077 2,452 2,918 2.52 3.32 3.48 40.3 42.2 44.7 47.6 0.93 1.14 1.29 Chad 3,154 3,830 4,701 5,819 3.88 4.10 4.27 22.5 23.5 25.0 27.1 0.87 1.25 1.60 Congo 3,274 3,857 4,524 5,290 3.28 3.19 3.13 65.5 67.8 70.1 72.3 0.69 0.65 0.62 Democratic Republic of the Congo 32,567 40,848 50,723 62,343 4.53 4.33 4.13 42.7 45.6 48.7 51.8 1.31 1.29 1.23 Equatorial Guinea 830 1,028 1,232 1,445 4.28 3.62 3.18 70.6 73.1 75.3 77.2 0.69 0.59 0.50 Gabon 1,701 1,938 2,171 2,403 2.61 2.27 2.03 88.1 90.1 91.6 92.7 0.44 0.33 0.24 Sao Tome and Principe 137 162 188 215 3.33 2.96 2.67 70.2 74.4 77.6 80.0 1.16 0.85 0.62 Northern Africa 115,705 129,068 143,026 157,849 2.19 2.05 1.97 51.4 52.5 53.8 55.3 0.41 0.49 0.58 Algeria 28,248 31,951 35,292 38,232 2.46 1.99 1.60 70.8 73.7 76.2 78.3 0.80 0.66 0.54 Egypt 40,123 44,041 48,427 53,613 1.86 1.90 2.03 42.8 42.8 43.4 44.8 - 0.00 0.31 0.60 Libya 4,942 5,376 5,780 6,140 1.68 1.45 1.21 79.3 80.7 82.2 83.6 0.36 0.37 0.34 Morocco 21,164 23,552 25,869 28,069 2.14 1.88 1.63 60.8 63.5 66.2 68.7 0.88 0.81 0.75 Sudan 13,099 15,349 18,220 21,775 3.17 3.43 3.56 33.9 35.3 37.2 39.7 0.79 1.07 1.31 Tunisia 7,672 8,281 8,854 9,372 1.53 1.34 1.14 68.1 69.6 71.2 73.0 0.44 0.47 0.49 Western Sahara 455 519 583 647 2.61 2.34 2.08 86.5 86.8 87.3 87.8 0.07 0.10 0.13 Southern Africa 39,358 43,688 47,900 51,909 2.09 1.84 1.61 62.1 64.6 67.1 69.4 0.81 0.75 0.68 Botswana 1,484 1,712 1,937 2,151 2.87 2.47 2.10 67.2 70.9 74.1 76.8 1.08 0.89 0.72 Lesotho 585 674 774 887 2.83 2.77 2.71 26.9 29.0 31.4 34.0 1.52 1.56 1.60 Namibia 1,138 1,403 1,684 1,972 4.20 3.64 3.16 46.9 52.0 56.7 60.8 2.08 1.71 1.39 South Africa 35,844 39,551 43,113 46,457 1.97 1.72 1.49 64.8 67.4 69.8 72.1 0.76 0.71 0.65 Swaziland 307 348 393 442 2.48 2.42 2.38 23.3 24.2 25.2 26.5 0.73 0.87 1.00 Western Africa 156,740 191,842 232,162 277,949 4.04 3.82 3.60 44.5 47.7 50.7 53.6 1.39 1.25 1.11 Benin 4,833 5,869 7,076 8,461 3.89 3.74 3.57 45.7 48.4 51.2 54.1 1.16 1.13 1.10 Burkina Faso 4,986 6,398 8,113 10,163 4.99 4.75 4.51 27.5 30.6 33.8 37.1 2.12 1.99 1.86 Cabo Verde 343 378 414 450 1.97 1.83 1.65 64.3 66.7 68.8 70.9 0.72 0.64 0.58 Côte d’Ivoire 11,426 13,532 16,022 18,912 3.38 3.38 3.32 49.4 51.7 54.1 56.7 0.89 0.92 0.93 Gambia 1,171 1,435 1,731 2,055 4.07 3.75 3.43 59.2 62.6 65.7 68.5 1.10 0.97 0.84 Ghana 14,918 17,626 20,539 23,641 3.34 3.06 2.81 54.1 57.3 60.5 63.4 1.17 1.06 0.95 Guinea 4,249 5,071 6,083 7,300 3.54 3.64 3.65 35.1 36.9 39.0 41.4 0.96 1.10 1.22 Guinea-Bissau 746 884 1,038 1,209 3.41 3.22 3.03 42.1 44.2 46.3 48.5 0.96 0.94 0.91 Liberia 2,242 2,659 3,150 3,722 3.41 3.39 3.33 49.8 52.1 54.6 57.3 0.89 0.94 0.97 Mali 6,986 8,907 11,191 13,850 4.86 4.57 4.26 40.0 43.9 47.7 51.2 1.87 1.64 1.42 Mauritania 2,137 2,647 3,207 3,808 4.28 3.84 3.44 51.1 55.3 59.2 62.7 1.59 1.35 1.14 Niger 3,233 4,003 5,068 6,542 4.27 4.72 5.11 16.2 16.6 17.4 18.7 0.46 0.94 1.40 Nigeria 86,673 107,113 130,312 156,300 4.23 3.92 3.64 47.8 52.0 55.8 59.2 1.65 1.41 1.19 Saint Helena 2 2 2 2 0.73 0.98 1.12 39.5 40.1 41.1 42.7 0.27 0.52 0.75 Senegal 6,869 8,277 9,904 11,778 3.73 3.59 3.47 45.9 48.1 50.6 53.2 0.96 1.00 1.02 Sierra Leone 2,955 3,454 4,017 4,651 3.12 3.02 2.93 40.8 42.9 45.3 47.8 1.00 1.06 1.11 Togo 2,974 3,588 4,296 5,106 3.76 3.60 3.46 40.1 42.8 45.6 48.6 1.30 1.29 1.26 ASIA 2,119,873 2,361,464 2,589,655 2,802,262 2.16 1.84 1.58 48.0 51.1 54.0 56.7 1.26 1.10 0.98 Eastern Asia 977,010 1,078,435 1,160,857 1,222,479 1.98 1.47 1.03 59.8 64.8 69.2 72.8 1.63 1.31 1.02 China 775,353 875,076 956,554 1,017,847 2.42 1.78 1.24 55.5 61.4 66.5 70.6 2.03 1.58 1.21 China, Hong Kong SAR 7,246 7,548 7,769 7,987 0.82 0.58 0.56 100.0 100.0 100.0 100.0 0.0 0.0 0.0 China, Macao SAR 601 652 701 746 1.63 1.46 1.23 100.0 100.0 100.0 100.0 0.0 0.0 0.0 China, Taiwan Province of China 18,064 18,802 19,421 19,902 0.80 0.65 0.49 76.9 78.9 80.8 82.4 0.52 0.46 0.40 Dem. People’s Republic of Korea 15,469 16,120 16,816 17,531 0.82 0.85 0.83 61.3 62.4 63.8 65.6 0.36 0.45 0.54 Japan 116,944 116,100 114,646 112,710 - 0.14 - 0.25 - 0.34 91.4 91.8 92.2 92.7 0.09 0.10 0.10

306 WORLD CITIES REPORT 2020

Table A.1: Continued

Urban Population at Mid-Year by Country, Average Annual Rate Percentage of Population at Mid-Year Average Annual Rate of 2015-2030 (thousands) of Change of the Urban Residing in Urban Country and Area, Change of the Percentage Population by Country, 2015-2030 Urban by Country, 2015- 2015-2030 (per cent) 2030 (per cent) 2015- 2020- 2025- 2015- 2020- 2025- Region, subregion, country or area 2015 2020 2025 2030 2020 2025 2030 2015 2020 2025 2030 2020 2025 2030 Mongolia 2,031 2,203 2,363 2,514 1.63 1.40 1.24 68.2 68.7 69.5 70.6 0.12 0.23 0.33 Republic of Korea 41,302 41,934 42,587 43,241 0.30 0.31 0.30 81.6 81.4 81.6 82.0 - 0.05 0.03 0.12 South-Central Asia 661,808 745,069 835,323 931,437 2.37 2.29 2.18 35.0 37.1 39.4 42.0 1.17 1.23 1.28 Central Asia 33,057 35,681 38,432 41,414 1.53 1.49 1.49 48.1 48.3 49.1 50.5 0.09 0.33 0.56 Kazakhstan 10,151 10,829 11,494 12,186 1.29 1.19 1.17 57.2 57.7 58.6 60.0 0.17 0.32 0.48 Kyrgyzstan 2,098 2,323 2,574 2,862 2.03 2.05 2.12 35.8 36.9 38.6 40.9 0.59 0.90 1.18 Tajikistan 2,286 2,606 2,988 3,444 2.62 2.73 2.85 26.7 27.5 28.8 30.8 0.56 0.94 1.30 Turkmenistan 2,800 3,167 3,541 3,917 2.46 2.23 2.02 50.3 52.5 55.1 57.9 0.86 0.95 1.00 Uzbekistan 15,720 16,756 17,836 19,005 1.28 1.25 1.27 50.8 50.4 50.7 51.8 - 0.13 0.13 0.40 Southern Asia 628,751 709,388 796,892 890,024 2.41 2.33 2.21 34.5 36.6 39.1 41.7 1.22 1.27 1.31 Afghanistan 8,368 9,904 11,705 13,818 3.37 3.34 3.32 24.8 26.0 27.6 29.6 0.96 1.18 1.38 Bangladesh 55,305 64,815 74,838 84,689 3.17 2.88 2.47 34.3 38.2 42.0 45.6 2.14 1.90 1.67 Bhutan 305 353 401 444 2.98 2.51 2.05 38.7 42.3 45.6 48.6 1.80 1.51 1.25 India 429,069 483,099 542,743 607,342 2.37 2.33 2.25 32.8 34.9 37.4 40.1 1.27 1.36 1.42 Iran (Islamic Republic of) 58,217 63,421 67,760 71,205 1.71 1.32 0.99 73.4 75.9 78.1 80.1 0.67 0.59 0.51 Maldives 161 187 210 231 2.93 2.34 1.88 38.5 40.7 42.8 45.0 1.08 1.04 1.00 Nepal 5,318 6,226 7,266 8,408 3.15 3.09 2.92 18.6 20.6 22.8 25.4 2.07 2.09 2.09 Pakistan 68,227 77,438 87,777 99,360 2.53 2.51 2.48 36.0 37.2 38.7 40.7 0.62 0.81 0.99 Sri Lanka 3,781 3,945 4,193 4,528 0.85 1.22 1.54 18.3 18.7 19.6 21.1 0.49 0.97 1.42 South-Eastern Asia 299,412 334,419 369,699 404,497 2.21 2.01 1.80 47.2 50.0 52.8 55.6 1.16 1.09 1.03 Brunei Darussalam 320 348 374 397 1.66 1.44 1.21 76.7 78.3 79.7 81.1 0.41 0.37 0.34 Cambodia 3,443 4,050 4,721 5,458 3.25 3.06 2.90 22.2 24.2 26.5 29.0 1.76 1.80 1.82 Indonesia 137,635 154,189 170,361 185,755 2.27 1.99 1.73 53.3 56.6 59.8 62.8 1.21 1.09 0.98 Lao People’s Democratic Republic 2,206 2,600 3,019 3,452 3.28 2.99 2.68 33.1 36.3 39.6 42.9 1.84 1.73 1.61 Malaysia 22,801 25,362 27,845 30,109 2.13 1.87 1.56 74.2 77.2 79.7 81.8 0.78 0.64 0.52 Myanmar 15,647 17,068 18,722 20,615 1.74 1.85 1.93 29.9 31.1 32.8 35.0 0.84 1.07 1.26 Philippines 47,078 52,009 57,606 63,844 1.99 2.04 2.06 46.3 47.4 49.0 50.9 0.48 0.64 0.79 Singapore 5,535 5,935 6,157 6,342 1.39 0.74 0.59 100.0 100.0 100.0 100.0 0.0 0.0 0.0 Thailand 32,746 35,698 38,344 40,676 1.73 1.43 1.18 47.7 51.4 55.0 58.4 1.51 1.35 1.20 Timor-Leste 366 433 511 600 3.35 3.31 3.23 29.5 31.3 33.2 35.2 1.20 1.18 1.16 Viet Nam 31,635 36,727 42,039 47,248 2.98 2.70 2.34 33.8 37.3 40.9 44.5 1.99 1.83 1.66 Western Asia 181,644 203,541 223,776 243,848 2.28 1.90 1.72 70.4 72.3 73.8 75.4 0.55 0.41 0.42 Armenia 1,840 1,861 1,882 1,906 0.22 0.23 0.25 63.1 63.3 64.1 65.5 0.07 0.26 0.43 Azerbaijan 5,262 5,696 6,101 6,491 1.58 1.38 1.24 54.7 56.4 58.4 60.8 0.61 0.71 0.79 Bahrain 1,221 1,520 1,679 1,828 4.38 1.99 1.71 89.0 89.5 90.1 90.8 0.11 0.14 0.15 Cyprus 777 807 838 873 0.75 0.76 0.81 66.9 66.8 67.2 68.1 - 0.04 0.11 0.26 Georgia 2,270 2,318 2,359 2,394 0.42 0.35 0.30 57.4 59.5 61.6 63.9 0.69 0.71 0.72 Iraq 25,252 29,423 34,039 39,208 3.06 2.91 2.83 69.9 70.9 72.1 73.6 0.28 0.34 0.40 Israel 7,434 8,068 8,698 9,337 1.64 1.51 1.42 92.2 92.6 93.0 93.5 0.09 0.10 0.10 Jordan 8,267 9,333 9,802 10,364 2.43 0.98 1.12 90.3 91.4 92.4 93.2 0.26 0.21 0.17 Kuwait 3,936 4,303 4,603 4,874 1.78 1.35 1.14 100.0 100.0 100.0 100.0 0.0 0.0 0.0 Lebanon 5,155 5,353 5,033 4,864 0.75 - 1.23 - 0.68 88.1 88.9 89.8 90.6 0.19 0.19 0.18 Oman 3,417 4,443 4,990 5,407 5.25 2.32 1.61 81.4 86.3 89.5 91.7 1.18 0.74 0.47 Qatar 2,455 2,770 3,011 3,217 2.41 1.66 1.32 98.9 99.2 99.4 99.5 0.06 0.04 0.02 Saudi Arabia 26,249 29,256 31,843 34,143 2.17 1.69 1.40 83.2 84.3 85.4 86.5 0.26 0.26 0.25 State of Palestine 3,514 4,083 4,708 5,371 3.00 2.85 2.64 75.4 76.7 78.2 79.7 0.36 0.38 0.39 Syrian Arab Republic 9,774 10,498 13,736 16,423 1.43 5.38 3.57 52.2 55.5 58.7 61.7 1.23 1.12 1.01 Turkey 57,617 63,803 67,446 70,951 2.04 1.11 1.01 73.6 76.1 78.3 80.2 0.67 0.57 0.49

307 Statistical Annex

Table A.1: Continued

Urban Population at Mid-Year by Country, Average Annual Rate Percentage of Population at Mid-Year Average Annual Rate of 2015-2030 (thousands) of Change of the Urban Residing in Urban Country and Area, Change of the Percentage Population by Country, 2015-2030 Urban by Country, 2015- 2015-2030 (per cent) 2030 (per cent) 2015- 2020- 2025- 2015- 2020- 2025- Region, subregion, country or area 2015 2020 2025 2030 2020 2025 2030 2015 2020 2025 2030 2020 2025 2030 United Arab Emirates 7,843 8,542 9,207 9,865 1.71 1.50 1.38 85.7 87.0 88.2 89.2 0.32 0.27 0.23 Yemen 9,361 11,465 13,802 16,330 4.06 3.71 3.36 34.8 37.9 41.1 44.4 1.72 1.63 1.51 EUROPE 547,147 556,684 565,026 572,890 0.35 0.30 0.28 73.9 74.9 76.1 77.5 0.28 0.32 0.36 Eastern Europe 203,146 203,296 203,360 203,271 0.01 0.01 - 0.01 69.3 69.9 70.9 72.2 0.18 0.28 0.37 Belarus 7,321 7,484 7,590 7,631 0.44 0.28 0.11 77.2 79.5 81.5 83.3 0.59 0.50 0.43 Bulgaria 5,311 5,253 5,179 5,082 - 0.22 - 0.28 - 0.38 74.0 75.7 77.4 79.0 0.45 0.44 0.42 Czechia 7,791 7,875 7,953 8,009 0.21 0.20 0.14 73.5 74.1 74.9 76.1 0.16 0.23 0.30 Hungary 6,898 6,922 6,938 6,940 0.07 0.05 0.01 70.5 71.9 73.5 75.1 0.40 0.43 0.44 Poland 23,065 22,782 22,598 22,533 - 0.25 - 0.16 - 0.06 60.3 60.0 60.5 61.5 - 0.08 0.14 0.35 Republic of Moldova 1,728 1,722 1,729 1,749 - 0.07 0.09 0.23 42.5 42.8 43.9 45.5 0.17 0.46 0.74 Romania 10,711 10,507 10,431 10,456 - 0.38 - 0.15 0.05 53.9 54.2 55.1 56.6 0.11 0.34 0.54 Russian Federation 106,549 107,486 108,062 108,337 0.18 0.11 0.05 74.1 74.8 75.8 77.1 0.19 0.27 0.34 Slovakia 2,931 2,931 2,955 2,998 - 0.00 0.17 0.28 53.9 53.8 54.3 55.6 - 0.05 0.22 0.47 Ukraine 30,841 30,335 29,924 29,537 - 0.33 - 0.27 - 0.26 69.1 69.6 70.5 71.7 0.16 0.25 0.34 Northern Europe 83,943 87,488 90,892 94,053 0.83 0.76 0.68 81.4 82.6 83.8 85.0 0.30 0.29 0.28 Channel Islands 51 52 54 56 0.46 0.68 0.88 31.0 31.0 31.4 32.2 0.00 0.26 0.52 Denmark 4,979 5,108 5,248 5,389 0.51 0.54 0.53 87.5 88.1 88.8 89.4 0.13 0.15 0.15 Estonia 900 900 899 895 0.01 - 0.03 - 0.08 68.4 69.2 70.2 71.4 0.24 0.29 0.33 Faeroe Islands 20 21 22 23 0.74 0.89 1.05 41.6 42.4 43.4 44.8 0.36 0.48 0.60 Finland 4,672 4,772 4,874 4,970 0.42 0.42 0.39 85.2 85.5 86.0 86.6 0.07 0.11 0.14 Iceland 309 322 334 345 0.81 0.74 0.64 93.7 93.9 94.1 94.4 0.04 0.05 0.06 Ireland 2,939 3,111 3,295 3,484 1.14 1.15 1.12 62.5 63.7 65.1 66.8 0.35 0.44 0.51 Isle of Man 43 45 48 50 0.89 0.97 1.04 52.2 52.9 54.0 55.4 0.25 0.39 0.53 Latvia 1,355 1,293 1,250 1,222 - 0.93 - 0.68 - 0.46 68.0 68.3 69.0 69.9 0.10 0.19 0.28 Lithuania 1,971 1,941 1,929 1,920 - 0.31 - 0.12 - 0.10 67.2 68.0 69.2 70.6 0.24 0.33 0.41 Norway 4,217 4,522 4,830 5,130 1.40 1.32 1.20 81.1 83.0 84.6 86.1 0.46 0.40 0.34 Sweden 8,451 8,905 9,309 9,669 1.05 0.89 0.76 86.6 88.0 89.2 90.3 0.33 0.28 0.24 United Kingdom 54,035 56,495 58,799 60,899 0.89 0.80 0.70 82.6 83.9 85.1 86.3 0.31 0.29 0.27 Southern Europe 107,618 109,342 110,832 112,280 0.32 0.27 0.26 70.6 72.1 73.8 75.4 0.43 0.44 0.45 Albania 1,679 1,827 1,949 2,038 1.69 1.29 0.90 57.4 62.1 66.1 69.5 1.57 1.25 0.99 Andorra 69 68 68 69 - 0.31 0.11 0.12 88.3 87.9 87.7 87.8 - 0.10 - 0.04 0.02 Bosnia and Herzegovina 1,668 1,715 1,768 1,824 0.55 0.61 0.62 47.2 49.0 51.2 53.6 0.77 0.85 0.92 Croatia 2,379 2,369 2,375 2,394 - 0.08 0.05 0.16 56.2 57.6 59.3 61.5 0.49 0.61 0.70 Gibraltar 34 35 36 36 0.45 0.28 0.22 100.0 100.0 100.0 100.0 0.0 0.0 0.0 Greece 8,755 8,850 8,897 8,926 0.22 0.11 0.06 78.0 79.7 81.3 82.8 0.42 0.39 0.36 Holy See 1 1 1 1 - 0.05 0.0 - 0.10 100.0 100.0 100.0 100.0 0.0 0.0 0.0 Italy 41,394 42,007 42,569 43,161 0.29 0.27 0.28 69.6 71.0 72.6 74.3 0.42 0.44 0.45 Malta 404 412 417 420 0.38 0.28 0.11 94.4 94.7 95.1 95.4 0.07 0.07 0.07 Montenegro 413 425 435 443 0.54 0.45 0.37 65.8 67.5 69.2 70.9 0.50 0.49 0.48 Portugal 6,617 6,776 6,926 7,049 0.47 0.44 0.35 63.5 66.3 68.9 71.4 0.86 0.78 0.69 San Marino 32 33 34 34 0.67 0.41 0.28 96.7 97.5 98.0 98.4 0.16 0.11 0.07 Serbia 4,930 4,913 4,924 4,953 - 0.07 0.04 0.12 55.7 56.4 57.6 59.3 0.27 0.42 0.56 Slovenia 1,116 1,148 1,179 1,211 0.56 0.54 0.53 53.8 55.1 56.8 58.8 0.49 0.60 0.70 Spain 36,933 37,544 37,996 38,420 0.33 0.24 0.22 79.6 80.8 82.1 83.3 0.30 0.31 0.30 TFYR Macedonia 1,194 1,221 1,259 1,303 0.45 0.61 0.69 57.4 58.5 60.3 62.7 0.37 0.61 0.80 Western Europe 152,441 156,558 159,942 163,286 0.53 0.43 0.41 79.4 80.2 81.2 82.2 0.21 0.24 0.26 Austria 5,009 5,159 5,338 5,531 0.59 0.68 0.71 57.7 58.7 60.1 61.8 0.35 0.46 0.56 Belgium 11,048 11,397 11,614 11,811 0.62 0.38 0.34 97.9 98.1 98.3 98.4 0.04 0.04 0.03

308 WORLD CITIES REPORT 2020

Table A.1: Continued

Urban Population at Mid-Year by Country, Average Annual Rate Percentage of Population at Mid-Year Average Annual Rate of 2015-2030 (thousands) of Change of the Urban Residing in Urban Country and Area, Change of the Percentage Population by Country, 2015-2030 Urban by Country, 2015- 2015-2030 (per cent) 2030 (per cent) 2015- 2020- 2025- 2015- 2020- 2025- Region, subregion, country or area 2015 2020 2025 2030 2020 2025 2030 2015 2020 2025 2030 2020 2025 2030 France 51,343 53,218 55,019 56,789 0.72 0.67 0.63 79.7 81.0 82.3 83.6 0.33 0.33 0.32 Germany 63,078 63,930 64,346 64,871 0.27 0.13 0.16 77.2 77.5 78.0 78.9 0.07 0.15 0.23 Liechtenstein 5 6 6 6 0.81 1.15 1.44 14.3 14.4 14.8 15.5 0.16 0.54 0.91 Luxembourg 511 552 593 629 1.55 1.43 1.17 90.2 91.5 92.4 93.2 0.28 0.22 0.17 Monaco 38 39 40 41 0.51 0.50 0.52 100.0 100.0 100.0 100.0 0.0 0.0 0.0 Netherlands 15,274 15,847 16,319 16,671 0.74 0.59 0.43 90.2 92.2 93.7 94.8 0.45 0.32 0.22 Switzerland 6,133 6,409 6,668 6,937 0.88 0.79 0.79 73.7 73.9 74.5 75.4 0.05 0.15 0.24 LATIN AMERICA AND THE CARIBBEAN 505,392 539,427 571,254 600,480 1.30 1.15 1.00 79.9 81.2 82.4 83.6 0.31 0.30 0.28 Caribbean 30,319 32,251 34,069 35,729 1.24 1.10 0.95 70.0 72.2 74.3 76.2 0.61 0.57 0.52 Anguilla 15 15 16 16 0.90 0.47 0.28 100.0 100.0 100.0 100.0 0.0 0.0 0.0 Antigua and Barbuda 25 26 27 28 0.55 0.87 1.15 25.0 24.4 24.4 24.8 - 0.46 - 0.06 0.35 Aruba 45 47 48 50 0.67 0.77 0.87 43.1 43.7 44.7 46.2 0.27 0.46 0.63 Bahamas 320 339 356 373 1.13 1.02 0.89 82.7 83.2 83.9 84.7 0.12 0.16 0.19 Barbados 89 90 92 95 0.20 0.46 0.70 31.2 31.2 31.7 32.8 - 0.04 0.32 0.67 British Virgin Islands 14 16 17 19 2.42 1.73 1.52 46.6 48.5 50.6 52.8 0.81 0.84 0.85 Caribbean Netherlands 18 20 21 21 1.37 0.88 0.81 74.8 75.0 75.6 76.5 0.08 0.16 0.23 Cayman Islands 60 64 68 71 1.27 1.13 1.00 100.0 100.0 100.0 100.0 0.0 0.0 0.0 Cuba 8,813 8,874 8,957 9,048 0.14 0.19 0.20 76.9 77.2 77.8 78.7 0.08 0.16 0.23 Curaçao 141 146 150 154 0.62 0.57 0.52 89.4 89.1 89.1 89.3 - 0.07 - 0.00 0.06 Dominica 51 53 56 58 0.94 0.84 0.67 69.6 71.1 72.6 74.2 0.43 0.43 0.42 Dominican Republic 8,272 9,169 9,950 10,618 2.06 1.64 1.30 78.6 82.5 85.5 87.8 0.99 0.71 0.51 Grenada 38 40 42 44 0.76 0.86 0.87 36.0 36.5 37.5 38.9 0.30 0.52 0.72 Guadeloupe 443 442 441 442 - 0.08 - 0.04 0.04 98.4 98.5 98.6 98.7 0.01 0.02 0.02 Haiti 5,616 6,492 7,343 8,144 2.90 2.47 2.07 52.4 57.1 61.3 64.9 1.70 1.41 1.16 Jamaica 1,575 1,640 1,707 1,770 0.82 0.79 0.73 54.8 56.3 58.2 60.3 0.53 0.65 0.74 Martinique 343 344 344 344 0.02 0.03 0.00 89.0 89.1 89.5 90.1 0.04 0.08 0.13 Montserrat 0 0 1 1 0.64 0.94 1.20 9.0 9.1 9.4 9.9 0.16 0.58 0.98 Puerto Rico 3,439 3,416 3,395 3,376 - 0.14 - 0.12 - 0.11 93.6 93.6 93.7 94.0 - 0.01 0.03 0.06 Saint Kitts and Nevis 17 18 18 20 0.92 1.06 1.22 30.8 30.8 31.4 32.4 0.01 0.34 0.66 Saint Lucia 33 34 36 38 0.80 0.98 1.14 18.5 18.8 19.5 20.4 0.35 0.64 0.92 Saint Vincent and the Grenadines 56 59 62 64 1.03 0.94 0.84 51.0 53.0 55.2 57.3 0.80 0.78 0.76 Sint Maarten (Dutch part) 39 41 44 46 1.31 1.16 0.98 100.0 100.0 100.0 100.0 0.0 0.0 0.0 Trinidad and Tobago 725 733 742 753 0.22 0.23 0.30 53.3 53.2 53.7 54.8 - 0.04 0.19 0.40 Turks and Caicos Islands 32 35 37 40 1.77 1.46 1.24 92.2 93.6 94.6 95.3 0.30 0.21 0.15 United States Virgin Islands 100 101 100 99 0.10 - 0.11 - 0.29 95.4 95.9 96.4 96.8 0.12 0.10 0.07 Central America 127,304 138,768 149,898 160,493 1.72 1.54 1.37 73.7 75.4 76.9 78.5 0.44 0.41 0.40 Belize 163 183 205 230 2.32 2.30 2.23 45.4 46.0 47.1 48.6 0.27 0.46 0.63 Costa Rica 3,695 4,074 4,391 4,647 1.95 1.50 1.14 76.9 80.8 83.7 85.8 0.99 0.71 0.50 El Salvador 4,400 4,759 5,085 5,371 1.57 1.33 1.09 69.7 73.4 76.6 79.2 1.05 0.84 0.66 Guatemala 8,121 9,284 10,568 11,963 2.68 2.59 2.48 50.0 51.8 54.0 56.4 0.73 0.82 0.88 Honduras 4,943 5,672 6,421 7,169 2.75 2.48 2.20 55.2 58.4 61.4 64.3 1.13 1.02 0.92 Mexico 99,813 108,074 115,926 123,198 1.59 1.40 1.22 79.3 80.7 82.1 83.5 0.36 0.35 0.33 Nicaragua 3,521 3,787 4,071 4,387 1.45 1.45 1.49 57.9 59.0 60.5 62.3 0.38 0.49 0.58 Panama 2,647 2,935 3,230 3,528 2.06 1.92 1.77 66.7 68.4 70.3 72.2 0.51 0.53 0.55 South America 347,768 368,409 387,288 404,258 1.15 1.00 0.86 83.5 84.6 85.6 86.5 0.25 0.24 0.23 Argentina 39,728 41,920 44,010 45,994 1.07 0.97 0.88 91.5 92.1 92.7 93.2 0.13 0.13 0.12 Bolivia (Plurinational State of) 7,335 8,095 8,887 9,700 1.97 1.87 1.75 68.4 70.1 71.9 73.7 0.50 0.50 0.50

309 Statistical Annex

Table A.1: Continued

Urban Population at Mid-Year by Country, Average Annual Rate Percentage of Population at Mid-Year Average Annual Rate of 2015-2030 (thousands) of Change of the Urban Residing in Urban Country and Area, Change of the Percentage Population by Country, 2015-2030 Urban by Country, 2015- 2015-2030 (per cent) 2030 (per cent) 2015- 2020- 2025- 2015- 2020- 2025- Region, subregion, country or area 2015 2020 2025 2030 2020 2025 2030 2015 2020 2025 2030 2020 2025 2030 Brazil 176,654 186,217 194,452 201,296 1.05 0.87 0.69 85.8 87.1 88.2 89.3 0.30 0.27 0.23 Chile 15,517 16,206 16,850 17,446 0.87 0.78 0.69 87.4 87.7 88.2 88.8 0.08 0.11 0.14 Colombia 38,469 40,892 43,011 44,804 1.22 1.01 0.82 79.8 81.4 82.9 84.3 0.41 0.37 0.33 Ecuador 10,235 11,124 12,063 13,049 1.66 1.62 1.57 63.4 64.2 65.3 66.7 0.24 0.34 0.44 Falkland Islands (Malvinas) 2 2 2 2 0.76 0.53 0.34 76.3 78.5 80.4 82.0 0.58 0.48 0.40 French Guiana 227 261 296 334 2.78 2.55 2.38 84.5 85.8 87.0 87.9 0.31 0.26 0.22 Guyana 203 212 223 236 0.83 1.01 1.12 26.4 26.8 27.5 28.6 0.26 0.51 0.76 Paraguay 4,033 4,394 4,771 5,154 1.71 1.64 1.55 60.8 62.2 63.8 65.7 0.47 0.53 0.58 Peru 24,272 26,082 27,880 29,643 1.44 1.33 1.23 77.4 78.3 79.4 80.5 0.24 0.27 0.29 Suriname 365 382 399 417 0.90 0.88 0.86 66.1 66.1 66.7 67.6 0.03 0.16 0.28 Uruguay 3,262 3,338 3,405 3,461 0.46 0.40 0.33 95.0 95.5 95.9 96.3 0.10 0.09 0.08 Venezuela (Bolivarian Republic of) 27,465 29,284 31,038 32,722 1.28 1.16 1.06 88.2 88.3 88.6 89.0 0.03 0.07 0.10 NORTHERN AMERICA 290,616 304,761 319,702 334,780 0.95 0.96 0.92 81.6 82.6 83.6 84.7 0.22 0.24 0.26 Bermuda 62 61 60 59 - 0.44 - 0.20 - 0.26 100.0 100.0 100.0 100.0 0.0 0.0 0.0 Canada 29,212 30,670 32,164 33,663 0.97 0.95 0.91 81.3 81.6 82.1 82.9 0.07 0.13 0.19 Greenland 49 50 51 51 0.42 0.41 0.21 86.1 87.3 88.4 89.3 0.28 0.24 0.21 Saint Pierre and Miquelon 6 6 6 6 0.36 0.75 0.75 89.9 90.0 90.2 90.5 0.02 0.05 0.08 United States of America 261,288 273,975 287,421 301,001 0.95 0.96 0.92 81.7 82.7 83.7 84.9 0.24 0.26 0.27 OCEANIA 26,938 28,919 30,860 32,831 1.42 1.30 1.24 68.1 68.2 68.5 68.9 0.03 0.07 0.11 Australia/New Zealand 24,381 26,095 27,724 29,319 1.36 1.21 1.12 85.8 86.3 86.9 87.7 0.12 0.14 0.16 Australia 20,397 21,904 23,335 24,740 1.43 1.27 1.17 85.7 86.2 86.9 87.6 0.13 0.15 0.17 New Zealand 3,984 4,191 4,388 4,579 1.01 0.92 0.85 86.3 86.7 87.2 87.8 0.08 0.12 0.14 Melanesia 1,903 2,138 2,418 2,757 2.33 2.46 2.63 19.2 19.6 20.3 21.4 0.46 0.72 1.01 Fiji 488 529 567 601 1.62 1.37 1.17 54.7 57.2 59.7 62.0 0.90 0.83 0.76 New Caledonia 187 205 224 242 1.89 1.72 1.56 69.4 71.5 73.5 75.3 0.61 0.54 0.48 Papua New Guinea 1,031 1,168 1,351 1,592 2.51 2.91 3.28 13.0 13.3 14.1 15.2 0.51 1.04 1.55 Solomon Islands 131 160 191 225 3.91 3.57 3.28 22.4 24.7 26.9 29.1 1.97 1.76 1.56 Vanuatu 66 75 85 97 2.55 2.55 2.58 25.0 25.5 26.3 27.4 0.45 0.62 0.80 Micronesia 353 375 397 421 1.21 1.18 1.14 67.9 69.2 70.4 71.5 0.37 0.33 0.31 Guam 153 160 167 173 0.92 0.84 0.72 94.5 94.9 95.3 95.7 0.09 0.08 0.07 Kiribati 58 68 78 88 3.19 2.77 2.36 51.6 55.6 59.1 62.2 1.48 1.23 1.01 Marshall Islands 40 41 43 45 0.61 0.61 1.09 75.8 77.8 79.5 81.1 0.52 0.44 0.38 Micronesia (Fed. States of) 23 25 27 29 1.05 1.52 1.86 22.5 22.9 23.7 24.9 0.42 0.70 0.96 Nauru 11 11 11 11 - 0.06 0.18 0.22 100.0 100.0 100.0 100.0 0.0 0.0 0.0 Northern Mariana Islands 50 51 52 53 0.29 0.36 0.35 91.4 91.8 92.3 92.8 0.10 0.10 0.11 Palau 17 18 20 21 1.77 1.59 1.36 78.2 81.0 83.3 85.0 0.71 0.55 0.43 Polynesia 301 312 321 334 0.67 0.57 0.83 44.5 44.4 44.5 45.0 - 0.04 0.05 0.22 American Samoa 48 49 49 50 0.07 0.26 0.37 87.2 87.2 87.3 87.8 - 0.02 0.04 0.10 Cook Islands 13 13 14 14 0.37 0.52 0.48 74.4 75.5 76.6 77.8 0.29 0.30 0.31 French Polynesia 171 180 186 195 1.01 0.65 0.91 61.7 62.0 62.6 63.5 0.09 0.19 0.29 Niue 1 1 1 1 1.69 1.43 1.61 42.6 46.2 49.5 52.5 1.64 1.38 1.15 Samoa 37 36 36 37 - 0.47 - 0.03 0.51 18.9 17.9 17.4 17.3 - 1.11 - 0.61 - 0.07 Tokelau - - - - 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 Tonga 25 26 27 29 0.71 0.99 1.36 23.3 23.1 23.3 23.8 - 0.15 0.15 0.47 Tuvalu 7 7 8 9 2.27 2.08 1.83 59.7 64.0 67.6 70.5 1.39 1.09 0.84 Wallis and Futuna Islands - - - - 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

Source: United Nations, Department of Economic and Social Affairs, Population Division (2018). World Urbanization Prospects: The 2018 Revision.

310 WORLD CITIES REPORT 2020

Table A.2: City Population Size and Rate of Change

Annual Population of Urban Agglomerations (thousands)a Annual Rate of Change of Urban Agglomerationsa (%) Country or area Urban Agglomeration 2010 2015 2020 2025 2030 2010-2015 2015-2020 2020-2025 2025-2030

Afghanistan Herat 359 467 606 753 897 5.26 5.21 4.36 3.50 Afghanistan Kabul 3,289 3,724 4,222 4,877 5,737 2.48 2.51 2.89 3.25 Afghanistan Kandahar 383 437 498 577 679 2.60 2.63 2.95 3.26 Afghanistan Mazar-e Sharif 284 389 533 682 816 6.35 6.26 4.93 3.60 Albania Tiranë (Tirana) 409 449 494 536 565 1.89 1.89 1.63 1.08 Algeria Annaba 345 351 358 379 410 0.34 0.40 1.14 1.57 Algeria Batna 286 307 329 358 390 1.38 1.41 1.70 1.66 Algeria Blida 354 409 473 536 586 2.91 2.89 2.50 1.80 Algeria El Djazaïr (Algiers) 2,432 2,592 2,768 3,004 3,263 1.28 1.31 1.64 1.65 Algeria El Djelfa 299 389 503 607 671 5.27 5.17 3.74 2.02 Algeria Qacentina 441 426 414 427 459 - 0.68 - 0.59 0.61 1.48 Algeria Sétif 262 287 313 345 375 1.77 1.79 1.90 1.70 Algeria Wahran (Oran) 820 858 899 966 1,048 0.90 0.95 1.44 1.62 Angola Benguela 473 582 715 878 1,066 4.13 4.13 4.10 3.87 Angola Cabinda 448 591 778 991 1,210 5.53 5.49 4.84 4.00 Angola Cuito 274 384 535 704 865 6.75 6.67 5.48 4.11 Angola Huambo 553 608 671 777 934 1.90 1.98 2.93 3.67 Angola Lobito 321 369 426 506 610 2.82 2.86 3.41 3.75 Angola Luanda 5,300 7,023 8,330 10,028 12,129 5.63 3.41 3.71 3.80 Angola Lubango 490 637 828 1,048 1,278 5.27 5.24 4.70 3.98 Angola Malanje 360 490 665 861 1,055 6.16 6.10 5.17 4.06 Angola Uige 240 351 511 687 847 7.59 7.48 5.92 4.19 Argentina Bahia Blanca 299 307 316 327 342 0.55 0.53 0.73 0.87 Argentina Buenos Aires 14,246 14,706 15,154 15,752 16,456 0.64 0.60 0.77 0.87 Argentina Córdoba 1,459 1,514 1,572 1,641 1,715 0.74 0.75 0.85 0.89 Argentina Corrientes 356 381 408 433 453 1.36 1.35 1.18 0.94 Argentina La Plata 785 834 884 933 977 1.20 1.17 1.08 0.93 Argentina Mar Del Plata 605 635 666 698 731 0.96 0.94 0.96 0.91 Argentina Mendoza 985 1,075 1,173 1,257 1,320 1.76 1.74 1.39 0.98 Argentina Neuquén-Plottier-Cipolletti 339 373 409 439 462 1.87 1.85 1.45 0.99 Argentina Posadas 318 352 389 420 442 2.01 2.01 1.54 1.01 Argentina Resistencia 385 408 432 456 478 1.15 1.17 1.09 0.93 Argentina Rosario 1,321 1,423 1,532 1,631 1,711 1.49 1.48 1.25 0.96 Argentina Salta 565 622 685 738 775 1.94 1.91 1.49 1.00 Argentina San Juan 495 516 537 561 586 0.84 0.78 0.87 0.89 Argentina San Miguel de Tucumán 844 913 986 1,051 1,103 1.56 1.54 1.28 0.96 Argentina San Salvador de Jujuy 314 337 361 384 402 1.40 1.39 1.20 0.95 Argentina Santa Fe 494 527 563 596 625 1.29 1.31 1.16 0.94 Argentina Santiago Del Estero 374 404 436 464 487 1.53 1.51 1.27 0.96 Armenia Yerevan 1,066 1,071 1,086 1,100 1,114 0.11 0.28 0.26 0.25 Australia Adelaide 1,222 1,284 1,336 1,393 1,472 0.99 0.80 0.83 1.10 Australia Brisbane 2,009 2,213 2,406 2,568 2,724 1.94 1.67 1.30 1.18 Australia Canberra 398 429 457 483 511 1.51 1.29 1.09 1.14 Australia Central Coast 311 325 335 347 367 0.86 0.63 0.73 1.08 Australia Gold Coast-Tweed Head 566 633 699 753 799 2.24 1.98 1.47 1.21 Australia Melbourne 3,932 4,430 4,968 5,392 5,736 2.38 2.29 1.64 1.24 Australia Newcastle-Maitland 411 432 450 470 496 1.00 0.83 0.84 1.10

311 Statistical Annex

Australia Perth 1,722 1,894 2,042 2,169 2,299 1.90 1.50 1.21 1.16 Australia Sunshine Coast 275 310 347 376 400 2.39 2.26 1.62 1.23 Australia Sydney 4,166 4,544 4,926 5,249 5,566 1.74 1.61 1.27 1.17 Australia Wollongong 278 293 305 319 337 1.00 0.84 0.85 1.10 Austria Wien (Vienna) 1,731 1,835 1,930 2,005 2,080 1.17 1.01 0.77 0.73 Azerbaijan Baku 2,062 2,206 2,341 2,496 2,659 1.35 1.19 1.28 1.26 Azerbaijan Gäncä 315 328 341 360 382 0.76 0.80 1.07 1.23 Azerbaijan Sumquayit 313 333 354 378 403 1.22 1.24 1.31 1.27 Bahrain Al-Manamah (Manama) 292 441 635 743 818 8.23 7.28 3.16 1.92 Bangladesh Barisal 344 408 484 565 643 3.41 3.40 3.12 2.59 Bangladesh Bogra 409 565 775 981 1,132 6.43 6.33 4.72 2.86 Bangladesh Chittagong 4,106 4,536 5,020 5,653 6,393 1.99 2.03 2.38 2.46 Bangladesh Comilla 413 493 589 691 787 3.55 3.53 3.20 2.60 Bangladesh Dhaka 14,731 17,597 21,006 24,653 28,076 3.56 3.54 3.20 2.60 Bangladesh Khulna 1,098 1,020 954 980 1,091 - 1.48 - 1.34 0.55 2.14 Bangladesh Mymensingh 401 429 460 509 574 1.34 1.40 2.03 2.40 Bangladesh Rajshahi 786 843 908 1,007 1,136 1.42 1.47 2.08 2.40 Bangladesh Rangpur 337 370 407 457 516 1.87 1.91 2.31 2.45 Bangladesh Rupganj 187 302 482 662 775 9.55 9.35 6.36 3.15 Bangladesh Sylhet 529 672 852 1,033 1,183 4.80 4.75 3.86 2.71 Belarus Brest 313 337 359 371 374 1.45 1.27 0.65 0.19 Belarus Gomel 488 524 558 576 581 1.43 1.25 0.64 0.19 Belarus Grodno 331 360 387 402 406 1.64 1.45 0.75 0.21 Belarus Minsk 1,850 1,945 2,028 2,071 2,086 1.00 0.83 0.42 0.15 Belarus Mogilev 360 376 388 395 397 0.83 0.67 0.33 0.13 Belarus Vitebsk 350 365 378 384 387 0.85 0.69 0.34 0.13 Belgium Antwerpen 993 1,017 1,042 1,065 1,084 0.49 0.49 0.43 0.35 Belgium Bruxelles-Brussel 1,926 2,002 2,081 2,142 2,182 0.77 0.77 0.58 0.37 Belgium Charleroi 405 409 413 419 426 0.21 0.22 0.28 0.32 Belgium Gent 435 451 466 479 488 0.70 0.69 0.53 0.37 Belgium Liège 658 667 678 689 700 0.29 0.30 0.32 0.33 Benin Abomey-Calavi 541 758 1,056 1,375 1,666 6.74 6.64 5.27 3.84 Benin Cotonou 675 682 692 758 891 0.18 0.30 1.82 3.24 Benin Djougou 242 288 343 410 490 3.48 3.49 3.56 3.54 Benin Parakou 223 283 358 442 531 4.75 4.72 4.23 3.65 Bolivia (Plurinational Cochabamba 986 1,136 1,304 1,460 1,600 2.84 2.75 2.27 1.83 State of) Bolivia (Plurinational La Paz 1,636 1,745 1,858 1,997 2,174 1.29 1.25 1.45 1.69 State of) Bolivia (Plurinational Oruro 250 282 318 353 386 2.45 2.37 2.06 1.80 State of) Bolivia (Plurinational Santa Cruz 1,365 1,532 1,713 1,891 2,068 2.31 2.23 1.98 1.78 State of) Bosnia and Herzegovina Sarajevo 342 342 343 348 358 0.02 0.04 0.31 0.57 Brazil Anápolis 328 357 385 406 422 1.64 1.52 1.08 0.75 Brazil Aracaju 813 909 1,009 1,082 1,127 2.24 2.09 1.39 0.81 Brazil Baixada Santista 1,662 1,779 1,892 1,982 2,055 1.36 1.23 0.92 0.73 Brazil Bauru 338 357 376 391 405 1.12 1.00 0.80 0.71 Brazil Belém 2,023 2,180 2,334 2,454 2,546 1.50 1.37 1.00 0.74 Brazil Belo Horizonte 5,409 5,754 6,084 6,352 6,583 1.24 1.12 0.86 0.72

312 WORLD CITIES REPORT 2020

Brazil Blumenau 294 321 348 368 382 1.74 1.60 1.12 0.76 Brazil Boa Vista 277 310 344 369 384 2.27 2.09 1.39 0.81 Brazil Brasília 3,710 4,168 4,646 4,991 5,199 2.33 2.17 1.43 0.82 Brazil Campina Grande 367 384 400 414 428 0.92 0.80 0.69 0.69 Brazil Campinas 2,793 3,047 3,301 3,492 3,627 1.74 1.60 1.12 0.76 Brazil Campo Grande 775 837 897 943 979 1.53 1.39 1.01 0.74 Brazil Campos dos Goytacazes 418 436 451 466 482 0.82 0.70 0.63 0.68 Brazil Caruaru 279 305 331 351 364 1.79 1.64 1.14 0.77 Brazil Cascavel 270 292 314 331 344 1.60 1.46 1.05 0.75 Brazil Caxias Do Sul 419 452 484 509 528 1.52 1.37 1.00 0.74 Brazil Cuiabá 550 571 589 606 627 0.73 0.61 0.59 0.67 Brazil Curitiba 3,118 3,399 3,679 3,889 4,040 1.73 1.58 1.11 0.76 Brazil Feira De Santana 510 556 602 637 662 1.73 1.59 1.12 0.76 Brazil Florianópolis 1,010 1,124 1,239 1,324 1,378 2.13 1.96 1.32 0.80 Brazil Fortaleza 3,520 3,800 4,073 4,284 4,446 1.53 1.39 1.01 0.74 Brazil Franca 313 333 352 367 381 1.24 1.12 0.86 0.72 Brazil Goiânia 2,049 2,357 2,690 2,927 3,056 2.80 2.64 1.69 0.86 Brazil Grande São Luís 1,329 1,410 1,486 1,548 1,604 1.19 1.05 0.82 0.71 Brazil Grande Vitória 1,685 1,877 2,076 2,221 2,311 2.16 2.01 1.35 0.80 Brazil João Pessoa 1,197 1,289 1,378 1,448 1,502 1.48 1.34 0.98 0.74 Brazil Joinville 1,114 1,209 1,303 1,375 1,427 1.64 1.50 1.07 0.75 Brazil Juazeiro Do Norte 378 419 461 492 512 2.06 1.91 1.29 0.79 Brazil Juiz De Fora 510 543 575 601 623 1.27 1.15 0.88 0.72 Brazil Jundiaí 565 622 679 721 749 1.90 1.75 1.21 0.78 Brazil Londrina 732 808 886 942 980 1.97 1.83 1.25 0.78 Brazil Macapá 380 432 486 526 548 2.56 2.38 1.55 0.83 Brazil Maceió 1,154 1,240 1,323 1,388 1,440 1.43 1.29 0.96 0.73 Brazil Manaus 1,789 2,019 2,261 2,435 2,537 2.42 2.26 1.48 0.82 Brazil Maringá 349 384 420 446 464 1.93 1.77 1.22 0.78 Brazil Montes Claros 344 371 398 418 434 1.52 1.39 1.01 0.74 Brazil Natal 1,136 1,292 1,457 1,575 1,642 2.57 2.40 1.56 0.84 Brazil Pelotas 306 317 326 336 347 0.68 0.59 0.57 0.67 Brazil Petrolina 379 427 477 513 535 2.38 2.22 1.46 0.82 Brazil Piracicaba 356 379 401 419 434 1.24 1.12 0.86 0.72 Brazil Ponta Grossa 304 327 349 367 380 1.44 1.31 0.97 0.73 Brazil Pôrto Alegre 3,842 3,998 4,137 4,269 4,416 0.79 0.69 0.63 0.68 Brazil Pôrto Velho 390 448 510 555 579 2.80 2.61 1.67 0.86 Brazil Recife 3,559 3,845 4,127 4,344 4,509 1.54 1.42 1.02 0.74 Brazil Ribeirão Preto 598 656 714 758 787 1.85 1.71 1.18 0.77 Brazil Rio Branco 308 339 370 393 409 1.93 1.76 1.21 0.78 Brazil Rio de Janeiro 12,374 12,941 13,458 13,923 14,408 0.90 0.78 0.68 0.68 Brazil Salvador 3,343 3,594 3,839 4,030 4,181 1.45 1.32 0.97 0.74 Brazil São José do Rio Preto 383 411 439 461 478 1.43 1.30 0.96 0.73 Brazil São José dos Campos 608 665 722 765 794 1.79 1.65 1.15 0.77 Brazil São Paulo 19,660 20,883 22,043 22,990 23,824 1.21 1.08 0.84 0.71 Brazil Sorocaba 672 729 786 829 861 1.63 1.50 1.07 0.75 Brazil Taubaté 272 293 313 328 340 1.45 1.31 0.97 0.73 Brazil Teresina 900 962 1,021 1,069 1,108 1.33 1.20 0.91 0.72

313 Statistical Annex

Brazil Uberaba 289 311 333 351 364 1.50 1.37 1.00 0.74 Brazil Uberlândia 585 636 687 725 753 1.67 1.53 1.09 0.76 Brazil Vale do Aço 473 498 522 542 561 1.03 0.91 0.75 0.70 Brazil Vitória da Conquista 274 301 328 348 361 1.85 1.71 1.18 0.77 Brazil Volta Redonda 433 440 445 454 468 0.34 0.24 0.38 0.63 Bulgaria Plovdiv 340 342 347 347 346 0.11 0.28 0.03 - 0.08 Bulgaria Sofia 1,216 1,256 1,281 1,286 1,279 0.64 0.40 0.09 - 0.12 Bulgaria Varna 328 335 335 334 333 0.45 0.00 - 0.05 - 0.07 Burkina Faso Bobo-Dioulasso 587 755 972 1,244 1,566 5.05 5.05 4.92 4.61 Burkina Faso Ouagadougou 1,742 2,200 2,780 3,521 4,426 4.67 4.68 4.72 4.58 Burundi Bujumbura 556 751 1,013 1,350 1,760 6.00 5.99 5.75 5.30 Cambodia Phnum Pénh (Phnom Penh) 1,523 1,779 2,078 2,426 2,805 3.11 3.11 3.10 2.90 Cameroon Bafoussam 289 353 424 496 582 4.05 3.64 3.13 3.19 Cameroon Bamenda 337 428 533 636 749 4.81 4.38 3.53 3.26 Cameroon Douala 2,361 2,972 3,663 4,346 5,112 4.60 4.18 3.42 3.25 Cameroon Garoua 268 307 346 391 456 2.74 2.37 2.44 3.08 Cameroon Loum 262 365 498 623 740 6.66 6.18 4.51 3.43 Cameroon Mbouda 226 336 486 629 751 7.91 7.39 5.16 3.55 Cameroon Yaoundé 2,349 3,097 3,992 4,854 5,734 5.53 5.08 3.91 3.33 Canada Calgary 1,190 1,360 1,547 1,688 1,779 2.67 2.58 1.74 1.05 Canada Edmonton 1,137 1,292 1,461 1,589 1,673 2.55 2.46 1.67 1.04 Canada Halifax 387 401 413 426 445 0.70 0.57 0.64 0.86 Canada Hamilton 716 743 767 793 828 0.73 0.63 0.68 0.86 Canada Kitchener-Cambrigde-Waterloo 473 516 562 600 629 1.74 1.74 1.28 0.97 Canada London 472 491 508 527 550 0.79 0.70 0.72 0.87 Canada Montréal 3,897 4,070 4,221 4,377 4,573 0.87 0.73 0.73 0.87 Canada Oshawa 352 376 398 418 438 1.32 1.18 0.98 0.92 Canada Ottawa-Gatineau 1,218 1,308 1,393 1,466 1,535 1.43 1.26 1.02 0.92 Canada Québec 757 794 826 858 897 0.95 0.79 0.76 0.88 Canada Saskatoon 256 289 325 352 370 2.43 2.34 1.61 1.03 Canada St. Catharines-Niagara 392 404 416 430 449 0.59 0.60 0.66 0.86 Canada Toronto 5,499 5,867 6,197 6,491 6,793 1.30 1.09 0.93 0.91 Canada Vancouver 2,278 2,437 2,581 2,708 2,834 1.35 1.15 0.96 0.91 Canada Victoria 342 364 386 405 424 1.23 1.19 0.98 0.92 Canada Windsor 320 327 336 347 362 0.46 0.52 0.62 0.85 Canada Winnipeg 724 770 817 857 898 1.24 1.18 0.97 0.92 Central African Republic Bangui 717 798 889 1,016 1,200 2.14 2.17 2.67 3.33 Chad N’Djaména 991 1,187 1,423 1,723 2,122 3.61 3.62 3.83 4.17 Chile Antofagasta 367 402 439 466 485 1.82 1.73 1.22 0.78 Chile Concepción 757 818 881 929 965 1.55 1.47 1.08 0.75 Chile La Serena-Coquimbo 374 427 484 525 548 2.62 2.50 1.64 0.85 Chile Santiago 6,269 6,523 6,767 6,999 7,243 0.79 0.73 0.67 0.69 Chile Temuco 299 320 342 359 373 1.40 1.32 0.99 0.74 Chile Valparaíso 889 937 984 1,024 1,061 1.05 0.98 0.81 0.71 China Akesu 281 341 413 478 518 3.88 3.83 2.92 1.60 China Ankang 373 488 636 766 836 5.39 5.29 3.72 1.74 China Anlu 234 284 342 395 428 3.81 3.76 2.89 1.60 China Anning 240 276 317 357 385 2.80 2.78 2.35 1.50

314 WORLD CITIES REPORT 2020

China Anqing 566 641 727 812 874 2.51 2.50 2.20 1.48 China Anqiu 356 495 682 848 930 6.57 6.43 4.34 1.85 China Anshan 1,501 1,562 1,629 1,738 1,857 0.80 0.84 1.30 1.32 China Anshun 428 507 600 686 742 3.41 3.37 2.67 1.56 China Anyang 893 1,144 1,460 1,739 1,893 4.96 4.87 3.49 1.70 China Baicheng 290 310 333 361 386 1.38 1.41 1.61 1.37 China Baishan 495 639 822 983 1,071 5.12 5.03 3.58 1.72 China Baiyin 361 382 405 436 466 1.12 1.16 1.47 1.35 China Baoding 1,571 1,766 1,976 2,190 2,355 2.34 2.24 2.06 1.45 China Baoji 863 1,003 1,165 1,317 1,422 3.01 2.98 2.46 1.52 China Baotou 1,757 1,962 2,190 2,426 2,608 2.20 2.20 2.04 1.45 China Bayannaoer 352 395 443 492 529 2.31 2.31 2.10 1.46 China Bazhong 465 682 992 1,268 1,398 7.66 7.49 4.91 1.95 China Beihai 463 474 487 515 550 0.49 0.54 1.13 1.29 China Beijing 16,441 18,421 20,463 22,596 24,282 2.27 2.10 1.98 1.44 China Bengbu 790 844 902 975 1,044 1.30 1.33 1.57 1.37 China Benxi 995 1,073 1,157 1,258 1,348 1.50 1.52 1.67 1.38 China Bijie 415 515 638 747 811 4.32 4.26 3.16 1.64 China Binzhou 715 883 1,084 1,264 1,371 4.23 4.10 3.07 1.63 China Botou 254 317 395 463 503 4.42 4.36 3.21 1.65 China Bozhou 467 590 742 877 954 4.67 4.60 3.34 1.67 China Cangzhou 497 528 561 605 647 1.19 1.22 1.50 1.36 China Cenxi 331 434 566 681 743 5.41 5.31 3.73 1.74 China Changchun 3,577 3,979 4,426 4,891 5,257 2.13 2.13 2.00 1.44 China Changde 616 716 830 938 1,012 2.99 2.96 2.45 1.52 China Changge 276 369 490 597 652 5.79 5.68 3.93 1.78 China Changji 301 344 393 441 475 2.67 2.66 2.29 1.49 China Changning 328 410 510 600 651 4.46 4.39 3.23 1.65 China Changsha 3,155 4,014 4,578 5,128 5,525 4.81 2.63 2.27 1.49 China Changshu 563 729 939 1,124 1,224 5.16 5.06 3.60 1.72 China Changyi 283 370 482 581 633 5.39 5.29 3.72 1.74 China Changzhi 647 740 846 949 1,023 2.69 2.68 2.30 1.49 China Changzhou, Jiangsu 2,501 3,015 3,625 4,180 4,526 3.74 3.69 2.85 1.59 China Chaohu 402 442 485 532 572 1.87 1.88 1.86 1.42 China Chaoyang 476 506 539 582 623 1.24 1.27 1.53 1.36 China Chaozhou 1,232 1,336 1,428 1,545 1,654 1.61 1.34 1.57 1.37 China Chengde 531 685 880 1,052 1,146 5.10 5.01 3.57 1.71 China Chengdu 7,573 8,360 9,136 9,999 10,728 1.98 1.77 1.81 1.41 China Chenzhou 573 743 960 1,151 1,254 5.21 5.12 3.62 1.72 China Chifeng 894 1,021 1,165 1,305 1,406 2.65 2.64 2.27 1.49 China Chizhou 284 362 458 544 592 4.81 4.73 3.41 1.69 China Chongqing 11,244 13,372 15,872 18,171 19,649 3.47 3.43 2.71 1.56 China Chuxiong 327 405 501 586 636 4.29 4.22 3.14 1.64 China Chuzhou 389 451 522 590 636 2.97 2.94 2.44 1.52 China Cixi 1,044 1,299 1,609 1,886 2,048 4.36 4.29 3.17 1.65 China Dali 363 433 515 590 638 3.52 3.48 2.73 1.57 China Dalian 4,180 4,849 5,618 6,347 6,848 2.97 2.94 2.44 1.52 China Dandong 773 823 877 947 1,014 1.26 1.29 1.54 1.36

315 Statistical Annex

China Danyang 494 597 719 829 898 3.77 3.72 2.86 1.59 China Danzhou 216 290 389 476 520 5.96 5.84 4.02 1.79 China Daqing 1,421 1,626 1,859 2,085 2,247 2.70 2.68 2.30 1.49 China Dashiqiao 312 339 369 403 432 1.65 1.67 1.75 1.40 China Datong 1,351 1,536 1,745 1,951 2,102 2.57 2.56 2.23 1.48 China Daye 446 508 578 647 697 2.60 2.59 2.25 1.48 China Dazhou 474 570 682 785 850 3.66 3.61 2.81 1.58 China Dengfeng 287 395 541 669 733 6.41 6.28 4.26 1.83 China Dengzhou 408 525 674 804 876 5.06 4.97 3.54 1.71 China Deyang 599 717 857 985 1,066 3.61 3.56 2.78 1.58 China Dezhou 688 825 986 1,134 1,227 3.62 3.58 2.79 1.58 China Dingzhou 256 288 324 360 387 2.36 2.36 2.12 1.46 China Donggang 289 327 370 413 445 2.50 2.49 2.19 1.48 China Dongguan 7,118 7,325 7,408 7,773 8,279 0.57 0.22 0.96 1.26 China Dongtai 484 573 677 773 836 3.37 3.33 2.65 1.55 China Dongyang 452 506 566 627 675 2.24 2.24 2.06 1.45 China Dongying 954 1,104 1,276 1,440 1,553 2.92 2.90 2.42 1.51 China Dujiangyan 316 347 382 420 451 1.91 1.92 1.88 1.42 China Emeishan 216 283 368 443 483 5.36 5.27 3.71 1.74 China Enping 240 305 386 457 497 4.77 4.69 3.39 1.68 China Enshi 313 430 587 724 794 6.34 6.21 4.22 1.83 China Erduosi (Ordoss) 485 591 707 812 879 3.93 3.57 2.79 1.58 China Ezhou 606 636 668 716 766 0.96 1.00 1.39 1.34 China Fangchenggang 275 340 420 491 533 4.27 4.21 3.13 1.64 China Feicheng 470 509 551 601 644 1.58 1.60 1.71 1.39 China Fengcheng 378 411 448 490 525 1.70 1.72 1.77 1.40 China Foshan 6,653 7,027 7,327 7,817 8,350 1.09 0.84 1.30 1.32 China Fuan 322 385 459 527 570 3.56 3.52 2.76 1.57 China Fujin 212 265 330 387 420 4.44 4.37 3.22 1.65 China Fuqing 467 523 585 648 697 2.24 2.24 2.06 1.45 China Fushun, Liaoning 1,320 1,300 1,285 1,332 1,416 - 0.31 - 0.23 0.72 1.22 China Fuxin 747 791 839 904 967 1.14 1.18 1.48 1.35 China Fuyang 772 895 1,036 1,170 1,262 2.95 2.93 2.43 1.52 China Fuzhou, Fujian 2,976 3,314 3,686 4,072 4,377 2.15 2.12 2.00 1.44 China Fuzhou, Jiangxi 643 799 990 1,160 1,259 4.35 4.28 3.17 1.64 China Ganzhou 744 983 1,285 1,551 1,692 5.56 5.36 3.76 1.75 China Gaoan 291 366 459 542 589 4.60 4.53 3.30 1.67 China Gaomi 460 575 716 842 915 4.47 4.40 3.23 1.66 China Gaoping 209 280 373 454 497 5.83 5.72 3.95 1.78 China Gaoyou 336 414 508 592 642 4.15 4.09 3.07 1.63 China Gaozhou 328 421 537 640 697 4.99 4.90 3.51 1.70 China Gongyi 362 431 511 586 633 3.47 3.44 2.71 1.56 China Gongzhuling 337 354 373 400 428 1.01 1.05 1.41 1.34 China Guang’an 313 390 484 568 617 4.41 4.34 3.20 1.65 China Guangyuan 376 451 539 620 671 3.61 3.57 2.78 1.58 China Guangzhou, Guangdong 10,278 11,695 13,302 14,879 16,024 2.58 2.57 2.24 1.48 China Guigang 652 763 891 1,011 1,092 3.14 3.11 2.53 1.53 China Guilin 958 1,042 1,134 1,239 1,329 1.68 1.70 1.76 1.40

316 WORLD CITIES REPORT 2020

China Guiping 498 668 891 1,087 1,188 5.87 5.76 3.97 1.78 China Guiyang 2,496 2,879 3,317 3,737 4,029 2.85 2.83 2.38 1.51 China Haerbin 5,140 5,730 6,387 7,067 7,597 2.17 2.17 2.02 1.45 China Haicheng 684 732 783 848 908 1.34 1.37 1.59 1.37 China Haikou 1,492 1,687 1,889 2,095 2,253 2.45 2.27 2.07 1.45 China Hailin 275 298 323 353 378 1.63 1.65 1.74 1.40 China Haimen 449 530 626 715 772 3.35 3.31 2.64 1.55 China Haining 391 456 528 596 643 3.09 2.92 2.43 1.52 China Haiyang 242 282 328 372 401 3.05 3.03 2.49 1.53 China Hami 308 351 399 446 481 2.60 2.59 2.25 1.48 China Hanchuan 462 576 715 839 911 4.41 4.34 3.20 1.65 China Handan 1,830 2,248 2,727 3,159 3,423 4.12 3.86 2.94 1.60 China Hangzhou 5,758 6,658 7,642 8,591 9,260 2.90 2.76 2.34 1.50 China Hanzhong 491 545 605 668 718 2.09 2.09 1.98 1.44 China Hebi 475 518 566 619 664 1.75 1.76 1.80 1.41 China Hechi 292 348 415 476 515 3.54 3.50 2.75 1.57 China Hefei 3,027 3,608 4,242 4,830 5,218 3.51 3.23 2.60 1.55 China Hegang 600 618 639 678 724 0.61 0.66 1.20 1.30 China Hejian 238 325 440 541 593 6.19 6.07 4.14 1.81 China Hengshui 546 685 857 1,009 1,096 4.53 4.46 3.27 1.66 China Hengyang 1,103 1,299 1,527 1,739 1,879 3.27 3.23 2.60 1.55 China Heshan 279 331 392 448 484 3.40 3.37 2.67 1.56 China Heyuan 439 485 524 570 611 1.98 1.56 1.69 1.39 China Heze 723 758 795 851 910 0.93 0.97 1.37 1.33 China Hezhou 373 484 625 749 817 5.21 5.11 3.62 1.72 China Hohhot 1,478 1,790 2,163 2,501 2,709 3.84 3.79 2.90 1.60 China Huai’an 1,641 2,093 2,655 3,152 3,430 4.87 4.76 3.43 1.69 China Huaibei 846 983 1,142 1,291 1,394 3.01 2.98 2.46 1.52 China Huaihua 465 592 752 893 971 4.84 4.76 3.43 1.69 China Huainan 1,232 1,330 1,438 1,564 1,677 1.53 1.55 1.69 1.39 China Huangshan 284 337 398 455 492 3.39 3.36 2.67 1.56 China Huangshi 688 755 828 909 976 1.86 1.87 1.86 1.42 China Huazhou 263 306 356 403 435 3.03 3.01 2.48 1.52 China Huixian 259 305 359 408 441 3.27 3.24 2.60 1.55 China Huizhou 1,775 2,126 2,525 2,891 3,126 3.60 3.44 2.71 1.56 China Huludao 642 706 775 851 914 1.88 1.89 1.87 1.42 China Huzhou 741 856 988 1,114 1,202 2.89 2.87 2.40 1.51 China Jiamusi 628 670 716 774 829 1.30 1.33 1.56 1.37 China Ji’an, Jiangxi 325 376 435 491 530 2.92 2.90 2.42 1.51 China Jiangmen 1,454 1,576 1,687 1,827 1,956 1.60 1.37 1.59 1.37 China Jiangyin 559 688 843 983 1,066 4.13 4.07 3.06 1.62 China Jianyang 362 420 487 551 594 2.99 2.96 2.45 1.52 China Jiaozhou 400 470 552 627 678 3.23 3.20 2.58 1.54 China Jiaozuo 700 732 767 820 876 0.88 0.93 1.34 1.33 China Jiaxing 749 974 1,260 1,511 1,648 5.24 5.15 3.64 1.73 China Jiayuguan 213 268 336 397 432 4.61 4.53 3.31 1.67 China Jieyang 722 912 1,147 1,355 1,473 4.66 4.59 3.34 1.67 China Jilin 1,450 1,523 1,603 1,719 1,838 0.98 1.02 1.40 1.34

317 Statistical Annex

China Ji’nan, Shandong 3,965 4,613 5,360 6,066 6,546 3.03 3.00 2.47 1.52 China Jincheng 470 588 734 863 938 4.50 4.43 3.25 1.66 China Jingdezhen 362 378 396 424 453 0.89 0.93 1.35 1.33 China Jingjiang 383 471 578 673 730 4.14 4.08 3.06 1.63 China Jingmen 395 440 489 540 581 2.13 2.13 2.00 1.44 China Jingzhou, Hubei 900 966 1,038 1,126 1,206 1.42 1.44 1.63 1.38 China Jinhua 695 888 1,122 1,330 1,447 4.91 4.69 3.39 1.68 China Jining, Shandong 1,291 1,388 1,494 1,622 1,738 1.45 1.48 1.64 1.38 China Jinjiang 394 443 498 554 596 2.36 2.35 2.12 1.46 China Jinzhong 439 514 600 680 734 3.12 3.10 2.52 1.53 China Jinzhou 940 1,037 1,145 1,261 1,354 1.97 1.98 1.92 1.43 China Jiujiang 698 799 913 1,024 1,104 2.70 2.68 2.30 1.49 China Jiuquan 252 311 382 446 484 4.19 4.13 3.09 1.63 China Jixi, Heilongjiang 838 892 950 1,025 1,097 1.23 1.26 1.53 1.36 China Jiyuan 337 376 416 458 492 2.15 2.02 1.94 1.43 China Jurong 295 359 435 503 546 3.90 3.85 2.93 1.60 China Kaifeng 883 1,062 1,274 1,467 1,588 3.69 3.64 2.82 1.58 China Kaili 273 308 348 387 417 2.43 2.42 2.16 1.47 China Kaiping 370 384 400 426 455 0.75 0.80 1.28 1.32 China Kelamayi 350 400 457 513 553 2.68 2.67 2.29 1.49 China Kuerle 417 565 761 934 1,022 6.09 5.97 4.09 1.80 China Kunming 3,470 3,927 4,443 4,956 5,335 2.48 2.47 2.18 1.47 China Kunshan 460 584 738 874 950 4.75 4.68 3.38 1.68 China Laibin 308 356 404 452 487 2.89 2.55 2.23 1.48 China Laiwu 662 776 908 1,031 1,114 3.18 3.15 2.55 1.54 China Laixi 343 417 505 585 634 3.90 3.85 2.93 1.60 China Laiyang 357 371 387 413 441 0.78 0.83 1.29 1.32 China Laizhou 379 386 394 416 443 0.35 0.41 1.06 1.28 China Langfang 525 624 740 846 915 3.45 3.41 2.70 1.56 China Lanzhou 2,419 2,730 3,081 3,431 3,692 2.42 2.42 2.15 1.47 China Leiyang 467 632 851 1,044 1,142 6.07 5.95 4.08 1.80 China Lengshuijiang 235 285 344 397 430 3.81 3.76 2.89 1.60 China Leping 284 315 348 384 412 2.02 2.02 1.94 1.43 China Leshan 670 814 987 1,143 1,238 3.90 3.85 2.93 1.60 China Lianyungang 1,289 1,537 1,820 2,081 2,249 3.53 3.38 2.68 1.56 China Liaocheng 602 677 761 846 910 2.35 2.35 2.12 1.46 China Liaoyang 731 791 856 932 999 1.56 1.58 1.70 1.39 China Liaoyuan 380 377 375 390 415 - 0.18 - 0.10 0.78 1.23 China Liling 440 600 813 1,000 1,095 6.21 6.08 4.15 1.81 China Linfen 563 696 858 1,003 1,088 4.24 4.18 3.11 1.63 China Linhai 497 594 709 814 880 3.57 3.52 2.76 1.57 China Linqing 342 362 383 413 441 1.13 1.16 1.47 1.35 China Linyi, Shandong 1,510 1,710 1,937 2,161 2,327 2.50 2.49 2.19 1.48 China Linzhou 319 361 408 455 490 2.47 2.46 2.18 1.47 China Lishui, Zhejiang 290 351 422 487 528 3.77 3.73 2.87 1.59 China Liuan 648 883 1,196 1,471 1,611 6.20 6.07 4.14 1.81 China Liupanshui 610 813 1,077 1,310 1,431 5.75 5.64 3.91 1.77 China Liuyang 574 822 1,169 1,476 1,624 7.19 7.04 4.67 1.90

318 WORLD CITIES REPORT 2020

China Liuzhou 1,608 1,867 2,165 2,448 2,641 2.99 2.96 2.45 1.52 China Liyang 366 408 454 503 540 2.17 2.17 2.02 1.45 China Longchang 283 340 404 462 500 3.71 3.42 2.70 1.56 China Longhai 417 514 631 736 799 4.17 4.11 3.08 1.63 China Longkou 385 448 521 589 636 3.03 3.01 2.48 1.52 China Longyan 594 641 692 753 807 1.52 1.55 1.68 1.39 China Loudi 419 518 639 747 811 4.26 4.19 3.12 1.64 China Luoding 282 321 365 408 440 2.58 2.57 2.24 1.48 China Luohe 564 768 1,040 1,279 1,400 6.18 6.06 4.13 1.81 China Luoyang 1,708 2,021 2,387 2,726 2,946 3.37 3.33 2.65 1.55 China Luzhou 740 779 823 884 945 1.05 1.09 1.43 1.34 China Lvliang 245 330 442 540 591 5.95 5.83 4.01 1.79 China Ma’anshan 725 861 1,019 1,166 1,260 3.42 3.38 2.68 1.56 China Macheng 301 326 352 384 411 1.56 1.58 1.70 1.39 China Manzhouli 246 288 337 382 413 3.16 3.13 2.54 1.54 China Maoming 895 1,039 1,205 1,362 1,469 2.99 2.96 2.45 1.52 China Meishan 491 597 723 837 907 3.89 3.84 2.93 1.60 China Meizhou 352 374 398 429 459 1.20 1.23 1.51 1.36 China Mianyang, Sichuan 1,057 1,161 1,276 1,401 1,504 1.88 1.89 1.87 1.42 China Miluo 310 437 604 751 824 6.87 6.48 4.36 1.85 China Mudanjiang 786 853 926 1,009 1,082 1.62 1.64 1.73 1.40 China Nanchang 2,589 3,053 3,598 4,104 4,435 3.30 3.29 2.63 1.55 China Nanchong 880 1,053 1,258 1,445 1,563 3.60 3.55 2.77 1.58 China Nanjing, Jiangsu 6,162 7,392 8,847 10,175 11,011 3.64 3.59 2.80 1.58 China Nankang 267 336 417 489 531 4.58 4.32 3.19 1.65 China Nanning 2,802 3,300 3,860 4,384 4,734 3.27 3.14 2.55 1.54 China Nanping 408 447 491 539 579 1.86 1.87 1.86 1.42 China Nantong 1,593 1,906 2,276 2,614 2,828 3.59 3.55 2.77 1.57 China Nanyang, Henan 892 1,010 1,143 1,275 1,372 2.48 2.47 2.18 1.47 China Neijiang 585 614 646 692 740 0.98 1.02 1.39 1.34 China Ningbo 2,786 3,391 4,116 4,770 5,169 3.93 3.88 2.95 1.61 China Ningde 250 289 334 377 406 2.91 2.89 2.41 1.51 China Ningguo 207 266 340 406 442 5.02 4.93 3.52 1.71 China Panjin 852 947 1,053 1,164 1,250 2.12 2.12 1.99 1.44 China Panzhihua 629 666 707 762 815 1.16 1.19 1.49 1.35 China Pingdingshan, Henan 858 998 1,160 1,313 1,417 3.03 3.01 2.48 1.52 China Pingdu 425 472 525 580 624 2.12 2.12 2.00 1.44 China Pinghu 281 353 441 519 564 4.52 4.45 3.26 1.66 China Pingliang 245 306 380 447 485 4.45 4.38 3.22 1.65 China Pingxiang, Jiangxi 710 812 929 1,042 1,123 2.70 2.68 2.30 1.49 China Pizhou 620 814 1,063 1,282 1,399 5.44 5.34 3.75 1.74 China Puning 866 1,003 1,160 1,309 1,412 2.93 2.91 2.42 1.51 China Putian 1,086 1,443 1,907 2,315 2,529 5.68 5.58 3.87 1.77 China Puyang 434 525 632 730 790 3.78 3.73 2.87 1.59 China Qianjiang 435 472 512 558 598 1.61 1.63 1.72 1.39 China Qidong 257 305 363 415 449 3.47 3.43 2.71 1.56 China Qingdao 4,512 5,041 5,620 6,218 6,684 2.22 2.17 2.02 1.45 China Qingyuan 646 694 735 791 846 1.44 1.15 1.46 1.35

319 Statistical Annex

China Qingzhou 380 445 520 591 638 3.15 3.12 2.54 1.53 China Qinhuangdao 1,076 1,286 1,535 1,763 1,907 3.58 3.54 2.76 1.57 China Qinzhou 484 559 644 726 783 2.86 2.84 2.39 1.51 China Qiqihaer 1,358 1,455 1,560 1,689 1,809 1.37 1.39 1.60 1.37 China Qitaihe 501 538 579 628 673 1.43 1.45 1.63 1.38 China Quanzhou 1,139 1,391 1,694 1,967 2,132 4.00 3.94 2.98 1.61 China Qufu 301 332 366 402 432 1.95 1.95 1.90 1.42 China Qujing 634 776 942 1,092 1,184 4.04 3.88 2.95 1.61 China Quzhou 414 562 758 930 1,018 6.10 5.98 4.09 1.80 China Renqiu 425 522 640 746 809 4.13 4.07 3.05 1.62 China Rizhao 891 1,066 1,271 1,459 1,578 3.57 3.53 2.76 1.57 China Rongcheng 362 384 408 439 470 1.17 1.20 1.50 1.35 China Rugao 256 285 317 351 377 2.16 2.16 2.02 1.44 China Ruian 813 976 1,169 1,345 1,456 3.65 3.61 2.80 1.58 China Rushan 258 288 321 355 382 2.19 2.19 2.03 1.45 China Sanhe 332 439 576 697 761 5.57 5.46 3.81 1.76 China Sanmenxia 399 474 561 642 694 3.44 3.40 2.69 1.56 China Sanming 327 349 372 402 431 1.28 1.31 1.55 1.36 China Sanya 448 530 625 713 771 3.37 3.30 2.64 1.55 China Shanghai 20,314 23,482 27,058 30,482 32,869 2.90 2.84 2.38 1.51 China Shangqiu 612 712 827 935 1,009 3.01 2.99 2.47 1.52 China Shangrao 781 900 1,029 1,154 1,243 2.83 2.67 2.30 1.49 China Shangyu 388 445 511 574 619 2.76 2.74 2.33 1.50 China Shantou 3,623 3,958 4,327 4,738 5,083 1.77 1.79 1.81 1.41 China Shanwei 369 398 430 467 501 1.52 1.54 1.68 1.39 China Shaoguan 725 742 761 805 859 0.46 0.51 1.12 1.29 China Shaoxing 1,702 2,082 2,540 2,951 3,200 4.03 3.97 3.00 1.62 China Shaoyang 570 638 714 791 851 2.24 2.24 2.06 1.45 China Shengzhou 344 371 401 436 468 1.53 1.55 1.68 1.39 China Shenmu 275 313 349 387 416 2.58 2.19 2.03 1.45 China Shenyang 5,849 6,498 7,220 7,974 8,569 2.10 2.11 1.99 1.44 China Shenzhen 10,223 11,275 12,357 13,545 14,537 1.96 1.83 1.84 1.41 China Shihezi 313 321 330 349 372 0.49 0.54 1.13 1.29 China Shijiazhuang 3,353 3,717 4,114 4,535 4,872 2.06 2.03 1.95 1.43 China Shishi 466 522 585 649 698 2.27 2.27 2.08 1.45 China Shiyan 887 1,050 1,241 1,418 1,533 3.38 3.34 2.66 1.56 China Shizuishan 401 454 514 574 618 2.51 2.50 2.20 1.48 China Shouguang 474 508 544 589 631 1.37 1.39 1.60 1.37 China Shuangyashan 480 491 503 532 567 0.44 0.49 1.11 1.29 China Shuozhou 376 461 563 655 711 4.06 4.01 3.02 1.62 China Sihui 349 456 591 710 775 5.31 5.21 3.67 1.73 China Siping 506 548 594 648 695 1.59 1.61 1.72 1.39 China Songyuan 463 487 513 551 589 1.00 1.04 1.41 1.34 China Songzi 270 299 332 366 394 2.08 2.08 1.97 1.44 China Suihua 362 391 422 459 491 1.51 1.53 1.67 1.38 China Suining, Sichuan 545 618 700 781 841 2.50 2.49 2.20 1.48 China Suizhou 391 417 445 481 515 1.28 1.31 1.55 1.36 China Suqian 767 1,054 1,440 1,780 1,950 6.37 6.24 4.23 1.83

320 WORLD CITIES REPORT 2020

China Suzhou, Anhui 731 927 1,170 1,385 1,507 4.74 4.66 3.38 1.68 China Suzhou, Jiangsu 3,997 5,336 7,070 8,593 9,389 5.78 5.63 3.90 1.77 China Taian, Shandong 1,117 1,222 1,339 1,467 1,575 1.81 1.82 1.83 1.41 China Taicang 429 531 654 765 830 4.25 4.19 3.12 1.64 China Taishan 391 453 525 593 640 2.96 2.94 2.44 1.52 China Taixing 547 640 748 848 916 3.13 3.10 2.53 1.53 China Taiyuan, Shanxi 3,131 3,490 3,891 4,305 4,628 2.17 2.17 2.02 1.45 China Taizhou, Jiangsu 1,045 1,187 1,348 1,507 1,622 2.56 2.55 2.23 1.48 China Taizhou, Zhejiang 1,410 1,653 1,935 2,199 2,374 3.18 3.15 2.56 1.54 China Tangshan, Hebei 2,204 2,753 3,426 4,024 4,371 4.44 4.38 3.22 1.65 China Tengzhou 772 960 1,190 1,395 1,514 4.36 4.29 3.18 1.65 China Tianjin 10,150 12,516 13,589 14,704 15,745 4.19 1.65 1.58 1.37 China Tianmen 605 726 870 1,001 1,083 3.65 3.61 2.80 1.58 China Tianshui 538 642 765 878 950 3.55 3.50 2.75 1.57 China Tieling 383 397 412 439 469 0.70 0.75 1.25 1.31 China Tongcheng 265 334 418 494 536 4.60 4.52 3.30 1.67 China Tongchuan 461 502 547 597 641 1.69 1.71 1.77 1.40 China Tonghua 474 521 573 629 676 1.90 1.91 1.88 1.42 China Tongliao 535 613 702 788 850 2.72 2.71 2.31 1.50 China Tongling 521 603 697 786 848 2.91 2.89 2.41 1.51 China Tongxiang 394 499 630 745 810 4.72 4.64 3.37 1.68 China Ürümqi (Wulumqi) 2,811 3,511 4,369 5,132 5,574 4.44 4.37 3.22 1.65 China Wafangdian 412 435 460 494 529 1.07 1.11 1.44 1.34 China Wanning 217 282 363 435 474 5.17 5.08 3.60 1.72 China Weifang 1,821 2,201 2,654 3,064 3,318 3.79 3.74 2.88 1.59 China Weihai 910 1,091 1,304 1,499 1,622 3.62 3.58 2.79 1.58 China Weinan 452 500 553 610 655 2.02 2.03 1.94 1.43 China Wenchang 249 298 356 409 443 3.61 3.57 2.78 1.58 China Wenling 741 877 1,037 1,185 1,281 3.39 3.35 2.66 1.56 China Wenzhou 2,678 3,129 3,624 4,093 4,416 3.11 2.93 2.44 1.52 China Wuchuan 332 340 349 369 394 0.46 0.52 1.12 1.29 China Wuhai 499 561 630 701 754 2.34 2.34 2.11 1.46 China Wuhan 7,515 7,921 8,365 8,986 9,611 1.05 1.09 1.43 1.34 China Wuhu, Anhui 1,088 1,430 1,870 2,257 2,463 5.47 5.37 3.76 1.75 China Wulanhaote 275 303 335 369 397 2.00 2.01 1.93 1.43 China Wuwei 329 363 400 440 472 1.94 1.94 1.90 1.42 China Wuxi, Jiangsu 2,722 2,987 3,256 3,559 3,818 1.86 1.73 1.78 1.40 China Wuzhou 525 605 697 784 846 2.83 2.81 2.37 1.51 China Xiamen 3,040 3,395 3,720 4,078 4,376 2.21 1.83 1.84 1.41 China Xi’an, Shaanxi 5,526 6,657 8,001 9,222 9,984 3.72 3.68 2.84 1.59 China Xiangtan, Hunan 896 1,012 1,143 1,274 1,371 2.44 2.43 2.16 1.47 China Xiangyang 1,426 1,537 1,658 1,802 1,931 1.50 1.52 1.67 1.38 China Xianning 340 345 350 369 393 0.26 0.32 1.01 1.27 China Xiantao 552 569 589 625 667 0.62 0.67 1.20 1.30 China Xianyang, Shaanxi 650 681 715 766 819 0.94 0.98 1.37 1.33 China Xiaogan 576 672 783 888 958 3.08 3.06 2.50 1.53 China Xinghua 569 672 791 902 975 3.32 3.28 2.63 1.55 China Xingning 269 363 488 597 653 6.01 5.89 4.05 1.80

321 Statistical Annex

China Xingping 226 298 390 470 513 5.48 5.38 3.77 1.75 China Xingtai 665 744 831 921 990 2.23 2.23 2.05 1.45 China Xingyang 266 325 397 461 500 4.03 3.97 3.00 1.62 China Xingyi, Guizhou 334 351 370 396 424 0.99 1.03 1.40 1.34 China Xining 1,142 1,327 1,539 1,741 1,878 3.00 2.98 2.46 1.52 China Xinmi 353 452 576 685 746 4.93 4.84 3.47 1.70 China Xintai 661 787 936 1,073 1,161 3.50 3.46 2.72 1.57 China Xinxiang 913 993 1,081 1,181 1,266 1.68 1.70 1.76 1.40 China Xinyang 620 703 797 890 959 2.52 2.51 2.21 1.48 China Xinyi 398 472 560 640 692 3.44 3.40 2.69 1.56 China Xinyi 332 365 401 441 473 1.89 1.90 1.87 1.42 China Xinyu 560 694 858 1,004 1,089 4.30 4.24 3.14 1.64 China Xinzheng 334 385 444 500 539 2.85 2.83 2.38 1.51 China Xinzhou 277 322 374 424 457 3.03 3.00 2.47 1.52 China Xiongan 390 621 970 1,289 1,430 9.30 8.91 5.69 2.08 China Xuancheng 311 381 467 543 589 4.10 4.04 3.04 1.62 China Xuanwei 220 273 337 394 427 4.27 4.21 3.13 1.64 China Xuchang 664 804 968 1,117 1,210 3.81 3.72 2.86 1.59 China Xuzhou 1,722 1,922 2,146 2,376 2,554 2.20 2.20 2.04 1.45 China Yaan 258 305 361 412 445 3.36 3.33 2.65 1.55 China Yan’an 405 525 679 814 887 5.22 5.12 3.63 1.72 China Yancheng, Jiangsu 1,462 1,657 1,864 2,073 2,231 2.51 2.36 2.12 1.46 China Yangchun 287 295 305 324 346 0.59 0.64 1.19 1.30 China Yangjiang 686 782 890 996 1,073 2.60 2.59 2.25 1.48 China Yangquan 618 701 794 887 954 2.51 2.50 2.20 1.48 China Yangzhou 1,572 1,770 1,993 2,217 2,385 2.38 2.37 2.13 1.46 China Yanji 500 590 695 793 857 3.31 3.28 2.63 1.55 China Yanshi 295 388 508 613 669 5.47 5.37 3.76 1.75 China Yantai 1,777 2,121 2,527 2,898 3,135 3.54 3.50 2.75 1.57 China Yibin 664 735 814 897 964 2.03 2.04 1.95 1.43 China Yichang 1,035 1,268 1,548 1,800 1,952 4.06 4.00 3.02 1.62 China Yichun, Heilongjiang 698 644 598 600 634 - 1.59 - 1.48 0.04 1.10 China Yichun, Jiangxi 451 646 918 1,159 1,275 7.19 7.04 4.67 1.90 China Yinchuan 1,133 1,347 1,579 1,796 1,939 3.46 3.18 2.57 1.54 China Yingde 344 385 431 478 514 2.24 2.24 2.06 1.45 China Yingkou 871 1,029 1,214 1,385 1,497 3.34 3.31 2.64 1.55 China Yining 300 327 356 389 417 1.71 1.73 1.78 1.40 China Yiwu 866 1,077 1,334 1,564 1,698 4.36 4.29 3.17 1.65 China Yixing 345 386 432 479 516 2.26 2.25 2.07 1.45 China Yiyang, Hunan 400 473 559 638 689 3.35 3.31 2.64 1.55 China Yongcheng 322 391 474 548 593 3.87 3.82 2.92 1.60 China Yongkang 372 443 526 603 652 3.49 3.45 2.72 1.57 China Yongzhou 534 647 782 904 979 3.84 3.79 2.90 1.60 China Yuanjiang 279 310 344 380 408 2.09 2.09 1.98 1.44 China Yueqing 716 873 1,061 1,230 1,333 3.95 3.90 2.96 1.61 China Yueyang 921 963 1,010 1,080 1,154 0.89 0.94 1.35 1.33 China Yuhuan 348 400 460 517 557 2.79 2.77 2.35 1.50 China Yulin, Guangxi 546 578 614 661 707 1.16 1.19 1.49 1.35

322 WORLD CITIES REPORT 2020

China Yulin, Shaanxi 528 643 696 754 808 3.92 1.58 1.62 1.38 China Yuncheng 426 537 675 797 867 4.65 4.57 3.33 1.67 China Yunfu 297 327 360 395 424 1.91 1.92 1.88 1.42 China Yushu 279 315 356 398 428 2.47 2.46 2.18 1.47 China Yuxi 393 512 663 796 868 5.27 5.17 3.65 1.73 China Yuyao 526 598 679 759 817 2.55 2.54 2.22 1.48 China Zaoyang 439 497 562 627 675 2.49 2.48 2.19 1.47 China Zaozhuang 977 1,030 1,088 1,168 1,250 1.05 1.09 1.43 1.34 China Zhangjiagang 413 521 656 775 843 4.67 4.60 3.34 1.67 China Zhangjiakou 1,125 1,271 1,435 1,598 1,720 2.44 2.43 2.16 1.47 China Zhangshu 214 265 328 385 417 4.33 4.27 3.16 1.64 China Zhangye 399 420 443 475 508 1.01 1.05 1.41 1.34 China Zhangzhou 607 728 872 1,002 1,085 3.64 3.59 2.80 1.58 China Zhanjiang 1,031 1,152 1,287 1,425 1,533 2.22 2.22 2.05 1.45 China Zhaodong 353 442 550 647 703 4.47 4.40 3.23 1.66 China Zhaoqing 777 892 1,024 1,150 1,240 2.76 2.74 2.33 1.50 China Zhaotong 253 293 339 383 413 2.92 2.90 2.42 1.51 China Zhaoyuan 280 312 348 385 414 2.17 2.18 2.02 1.45 China Zhengzhou 3,630 4,401 5,323 6,156 6,669 3.85 3.80 2.91 1.60 China Zhenjiang, Jiangsu 944 1,052 1,174 1,299 1,397 2.18 2.18 2.03 1.45 China Zhongshan 2,682 2,820 2,914 3,094 3,302 1.00 0.66 1.20 1.30 China Zhongxiang 437 463 492 530 567 1.16 1.19 1.49 1.35 China Zhoukou 456 545 650 746 807 3.56 3.51 2.75 1.57 China Zhoushan 539 590 647 710 762 1.83 1.84 1.84 1.41 China Zhuanghe 300 374 466 547 594 4.44 4.37 3.22 1.65 China Zhucheng 578 719 891 1,045 1,135 4.37 4.30 3.18 1.65 China Zhuhai 1,358 1,546 1,759 1,969 2,120 2.60 2.59 2.25 1.48 China Zhuji 601 684 778 869 936 2.57 2.56 2.23 1.48 China Zhumadian 440 563 716 851 927 4.91 4.82 3.46 1.70 China Zhuozhou 258 303 355 404 437 3.23 3.20 2.58 1.54 China Zhuzhou 993 1,086 1,187 1,299 1,394 1.77 1.79 1.81 1.41 China Zibo 2,250 2,436 2,640 2,876 3,084 1.59 1.61 1.72 1.39 China Zigong 664 699 737 792 846 1.03 1.07 1.42 1.34 China Zixing 212 265 330 388 422 4.45 4.38 3.22 1.65 China Ziyang 373 432 500 565 609 2.95 2.93 2.43 1.52 China Zunyi 987 1,125 1,281 1,434 1,545 2.62 2.61 2.26 1.49 China, Hong Kong SAR Hong Kong 7,025 7,246 7,548 7,769 7,987 0.62 0.82 0.58 0.56 China, Macao SAR Macao 537 601 652 701 746 2.25 1.63 1.46 1.23 China, Taiwan Province Gaoxiong 1,514 1,525 1,538 1,566 1,602 0.14 0.16 0.36 0.45 of China China, Taiwan Province Jilong 379 374 369 371 379 - 0.29 - 0.26 0.14 0.41 of China China, Taiwan Province Taibei 2,654 2,686 2,721 2,779 2,844 0.24 0.27 0.42 0.46 of China China, Taiwan Province Tainan 784 816 850 881 904 0.81 0.81 0.71 0.51 of China China, Taiwan Province Taizhong 1,140 1,228 1,321 1,393 1,434 1.49 1.46 1.07 0.57 of China China, Taiwan Province Taoyuan 1,974 2,106 2,245 2,357 2,423 1.30 1.28 0.97 0.56 of China China, Taiwan Province Xinbei 4,039 4,215 4,398 4,564 4,683 0.86 0.85 0.74 0.52 of China

323 Statistical Annex

China, Taiwan Province Xinzhu 413 432 451 467 480 0.89 0.85 0.74 0.52 of China Colombia Armenia 350 382 410 428 446 1.77 1.41 0.87 0.81 Colombia Barranquilla 1,871 2,081 2,273 2,396 2,499 2.13 1.76 1.06 0.84 Colombia Bogotá 8,418 9,708 10,978 11,796 12,343 2.85 2.46 1.44 0.91 Colombia Bucaramanga 1,075 1,208 1,331 1,411 1,473 2.33 1.95 1.16 0.86 Colombia Buenaventura 339 395 451 488 511 3.05 2.65 1.54 0.93 Colombia Cali 2,338 2,573 2,782 2,917 3,039 1.92 1.56 0.95 0.82 Colombia Cartagena 919 997 1,063 1,106 1,150 1.63 1.27 0.79 0.80 Colombia Cúcuta 775 858 933 982 1,023 2.04 1.67 1.01 0.83 Colombia Ibagué 507 550 586 610 635 1.64 1.28 0.80 0.80 Colombia Manizales 403 429 448 461 479 1.23 0.89 0.58 0.76 Colombia Medellín 3,426 3,735 4,000 4,173 4,344 1.73 1.37 0.84 0.80 Colombia Monteria 331 379 426 457 478 2.72 2.33 1.37 0.90 Colombia Neiva 317 339 357 369 384 1.37 1.03 0.66 0.77 Colombia Pasto 339 366 388 403 420 1.55 1.20 0.75 0.79 Colombia Pereira 545 566 580 590 611 0.79 0.46 0.35 0.72 Colombia Santa Marta 430 481 527 557 581 2.22 1.85 1.11 0.85 Colombia Valledupar 363 445 533 592 623 4.07 3.64 2.08 1.02 Colombia Villavicencio 418 481 544 585 612 2.84 2.45 1.43 0.91 Congo Brazzaville 1,576 1,958 2,388 2,813 3,292 4.34 3.97 3.28 3.14 Congo Pointe-Noire 816 1,004 1,214 1,424 1,664 4.15 3.80 3.18 3.13 Costa Rica Alajuela 213 280 366 435 470 5.46 5.33 3.49 1.55 Costa Rica Heredia 297 326 341 359 380 1.85 0.90 1.08 1.13 Costa Rica San José 1,202 1,297 1,400 1,503 1,595 1.52 1.52 1.42 1.19 Côte d’Ivoire Abidjan 3,954 4,533 5,203 6,057 7,136 2.74 2.76 3.04 3.28 Côte d’Ivoire Bouake 517 543 572 636 743 0.97 1.05 2.11 3.12 Croatia Zagreb 688 687 685 684 688 - 0.05 - 0.05 - 0.02 0.12 Cuba Camaguey 301 304 310 314 317 0.21 0.35 0.25 0.21 Cuba La Habana (Havana) 2,143 2,124 2,140 2,156 2,178 - 0.18 0.16 0.15 0.20 Cuba Santiago de Cuba 425 431 438 443 448 0.28 0.34 0.25 0.21 Czechia Brno 377 378 378 381 383 0.03 0.04 0.11 0.14 Czechia Praha (Prague) 1,234 1,269 1,306 1,332 1,345 0.57 0.56 0.40 0.19 Dem. People’s Republic Chongjin 619 630 642 662 689 0.37 0.38 0.59 0.79 of Korea Dem. People’s Republic Hamhung 604 575 549 546 564 - 0.98 - 0.92 - 0.12 0.67 of Korea Dem. People’s Republic P’yongyang 2,861 2,970 3,084 3,209 3,345 0.75 0.75 0.79 0.83 of Korea Dem. People’s Republic Sinuiju 326 326 326 333 346 0.0 0.03 0.40 0.76 of Korea Dem. People’s Republic Wonsan 332 342 353 366 381 0.61 0.62 0.72 0.82 of Korea Democratic Republic of Bukavu 643 833 1,078 1,369 1,695 5.17 5.15 4.79 4.27 the Congo Democratic Republic of Bunia 346 486 679 900 1,123 6.78 6.70 5.63 4.41 the Congo Democratic Republic of Goma 355 475 634 820 1,018 5.83 5.79 5.14 4.33 the Congo Democratic Republic of Kabinda 207 311 466 640 803 8.17 8.05 6.37 4.54 the Congo Democratic Republic of Kananga 938 1,170 1,458 1,816 2,240 4.41 4.41 4.38 4.20 the Congo

324 WORLD CITIES REPORT 2020

Democratic Republic of Kikwit 361 427 507 615 755 3.40 3.43 3.85 4.11 the Congo Democratic Republic of Kinshasa 9,382 11,598 14,342 17,778 21,914 4.24 4.25 4.30 4.18 the Congo Democratic Republic of Kisangani 859 1,040 1,261 1,547 1,903 3.83 3.85 4.08 4.15 the Congo Democratic Republic of Kolwezi 469 480 495 555 672 0.46 0.59 2.30 3.84 the Congo Democratic Republic of Likasi 432 495 568 676 827 2.71 2.76 3.49 4.04 the Congo Democratic Republic of Lubumbashi 1,642 2,017 2,478 3,061 3,771 4.11 4.12 4.23 4.17 the Congo Democratic Republic of Matadi 292 337 390 466 571 2.86 2.91 3.57 4.06 the Congo Democratic Republic of Mbandaka 319 376 443 535 656 3.25 3.29 3.77 4.09 the Congo Democratic Republic of Mbuji-Mayi 1,598 2,009 2,525 3,158 3,899 4.58 4.58 4.47 4.21 the Congo Democratic Republic of Tshikapa 518 691 919 1,186 1,472 5.76 5.72 5.10 4.32 the Congo Democratic Republic of Uvira 332 443 590 761 944 5.76 5.72 5.10 4.32 the Congo Denmark København (Copenhagen) 1,192 1,271 1,346 1,401 1,442 1.28 1.16 0.79 0.58 Djibouti Djibouti 485 531 576 616 661 1.83 1.61 1.35 1.39 Dominican Republic Santiago 589 626 665 707 754 1.24 1.18 1.24 1.29 Dominican Republic Santo Domingo 2,601 2,945 3,318 3,648 3,913 2.48 2.39 1.90 1.40 Ecuador Cuenca 327 371 418 461 500 2.50 2.41 1.95 1.64 Ecuador Guayaquil 2,492 2,738 2,994 3,245 3,511 1.88 1.79 1.61 1.58 Ecuador Quito 1,598 1,734 1,874 2,017 2,180 1.64 1.55 1.48 1.55 Ecuador Santo Domingo 267 310 355 396 430 2.95 2.76 2.14 1.67 Egypt Al-Fayyum 339 373 410 449 496 1.92 1.87 1.86 1.99 Egypt Al-Iskandariyah (Alexandria) 4,333 4,789 5,281 5,807 6,417 2.00 1.95 1.90 2.00 Egypt Al-Ismailiyah 308 331 354 383 422 1.39 1.36 1.58 1.94 Egypt Al-Mahallah al-Kubra 462 489 518 556 613 1.15 1.13 1.45 1.92 Egypt Al-Mansurah 468 510 556 607 670 1.74 1.69 1.76 1.97 Egypt Al-Qahirah (Cairo) 16,899 18,820 20,901 23,074 25,517 2.15 2.10 1.98 2.01 Egypt As-Suways 534 584 638 698 771 1.81 1.76 1.80 1.98 Egypt Aswan 285 314 345 379 418 1.92 1.88 1.86 1.99 Egypt Asyut 407 434 461 497 547 1.25 1.22 1.50 1.93 Egypt Az-Zaqazig 317 337 358 386 425 1.25 1.22 1.50 1.93 Egypt Bur Sa’id 611 672 737 808 893 1.89 1.85 1.84 1.99 Egypt Kafr-ad-Dawwar 291 317 344 375 413 1.67 1.63 1.73 1.97 Egypt Tanta 443 471 501 541 595 1.26 1.23 1.51 1.93 El Salvador San Salvador 1,086 1,099 1,106 1,132 1,190 0.23 0.12 0.48 1.00 Equatorial Guinea Bata 230 313 415 513 606 6.15 5.68 4.22 3.33 Eritrea Asmara 670 803 963 1,152 1,372 3.64 3.63 3.59 3.49 Estonia Tallinn 394 416 445 458 460 1.09 1.35 0.55 0.08 Ethiopia Addis Ababa 3,126 3,871 4,794 5,957 7,352 4.27 4.28 4.34 4.21 Ethiopia Dire Dawa 266 330 408 507 626 4.27 4.28 4.34 4.21 Ethiopia Gondar 236 293 362 450 556 4.27 4.28 4.35 4.21 Ethiopia Mekele 283 440 524 637 784 8.80 3.49 3.92 4.14 Ethiopia Nazret 250 307 378 468 577 4.12 4.13 4.26 4.20 Finland Helsinki 1,126 1,222 1,305 1,355 1,386 1.64 1.31 0.75 0.45 Finland Tampere 308 326 342 351 358 1.14 0.92 0.54 0.42

325 Statistical Annex

France Avignon 445 457 470 484 499 0.52 0.53 0.59 0.63 France Béthune 354 356 358 365 376 0.11 0.13 0.38 0.59 France Bordeaux 854 910 969 1,018 1,054 1.27 1.25 0.99 0.70 France Douai-Lens 508 504 501 507 521 - 0.16 - 0.13 0.23 0.57 France Grenoble 501 514 528 544 561 0.52 0.53 0.59 0.63 France Lille 1,021 1,041 1,063 1,092 1,126 0.40 0.41 0.53 0.62 France Lyon 1,577 1,647 1,719 1,787 1,847 0.87 0.86 0.78 0.66 France Marseille-Aix-en-Provence 1,568 1,587 1,608 1,645 1,695 0.25 0.26 0.45 0.61 France Montpellier 403 432 462 487 504 1.38 1.36 1.04 0.71 France Nantes 599 638 678 711 737 1.24 1.22 0.97 0.70 France Nice-Cannes 945 943 942 956 984 - 0.04 - 0.02 0.29 0.58 France Paris 10,460 10,734 11,017 11,347 11,710 0.52 0.52 0.59 0.63 France Rennes 313 333 354 371 385 1.24 1.22 0.97 0.70 France Rouen 465 467 470 479 493 0.09 0.11 0.37 0.59 France Saint-Étienne 372 373 375 382 393 0.07 0.09 0.35 0.59 France Strasbourg 450 462 475 490 506 0.54 0.55 0.60 0.63 France Toulon 563 571 579 593 611 0.28 0.30 0.47 0.61 France Toulouse 890 955 1,024 1,080 1,119 1.42 1.40 1.07 0.71 France Tours 347 354 360 370 381 0.36 0.37 0.51 0.62 France Valenciennes 335 336 338 344 355 0.10 0.11 0.37 0.59 Gabon Libreville 649 747 834 899 988 2.83 2.20 1.50 1.89 Gambia Banjul 393 420 451 510 602 1.32 1.40 2.48 3.31 Georgia Tbilisi 1,079 1,078 1,078 1,087 1,102 - 0.02 - 0.01 0.17 0.28 Germany Berlin 3,450 3,514 3,562 3,580 3,606 0.36 0.27 0.10 0.15 Germany Bielefeld 330 333 334 335 337 0.19 0.10 0.01 0.13 Germany Bochum 377 363 376 382 386 - 0.73 0.69 0.33 0.18 Germany Bonn 315 319 320 320 322 0.19 0.11 0.01 0.13 Germany Bremen 548 556 565 569 573 0.30 0.32 0.13 0.15 Germany Dortmund 583 586 590 590 594 0.09 0.14 0.03 0.13 Germany Dresden 521 540 575 594 601 0.71 1.27 0.64 0.24 Germany Duesseldorf 588 610 632 643 649 0.73 0.72 0.34 0.19 Germany Duisburg 493 488 515 529 535 - 0.21 1.07 0.53 0.22 Germany Essen 580 582 582 581 584 0.07 - 0.01 - 0.05 0.12 Germany Frankfurt am Main 681 727 777 804 814 1.31 1.32 0.67 0.24 Germany Hamburg 1,775 1,786 1,790 1,788 1,799 0.12 0.04 - 0.03 0.12 Germany Hannover 523 531 537 539 543 0.32 0.21 0.07 0.14 Germany Karlsruhe 294 306 318 324 327 0.80 0.74 0.36 0.19 Germany Köln (Cologne) 1,009 1,054 1,119 1,153 1,167 0.87 1.20 0.61 0.23 Germany Leipzig 524 557 591 609 616 1.22 1.19 0.60 0.23 Germany Mannheim 303 303 332 348 353 - 0.03 1.82 0.94 0.29 Germany Muenster (Westfalen) 286 308 330 342 346 1.43 1.40 0.71 0.25 Germany München (Munich) 1,353 1,440 1,538 1,591 1,610 1.25 1.32 0.67 0.24 Germany Nurenberg 505 510 512 512 515 0.18 0.09 0.00 0.13 Germany Stuttgart 608 622 633 637 642 0.47 0.33 0.13 0.15 Germany Wuppertal 352 350 349 348 350 - 0.11 - 0.04 - 0.07 0.12 Ghana Accra 2,060 2,290 2,514 2,788 3,187 2.11 1.87 2.07 2.68 Ghana Kumasi 2,010 2,616 3,348 4,036 4,681 5.27 4.93 3.74 2.96 Ghana Sekondi Takoradi 532 716 946 1,160 1,349 5.93 5.57 4.09 3.02

326 WORLD CITIES REPORT 2020

Ghana Tamale 366 489 642 784 912 5.79 5.43 4.01 3.01 Greece Athínai (Athens) 3,170 3,161 3,153 3,155 3,163 - 0.06 - 0.05 0.01 0.05 Greece Thessaloniki 806 809 812 815 818 0.07 0.08 0.08 0.06 Guatemala Ciudad de Guatemala (Guatemala 2,560 2,738 2,935 3,230 3,640 1.35 1.39 1.91 2.39 City) Guinea Conakry 1,518 1,714 1,938 2,252 2,687 2.42 2.46 3.00 3.54 Guinea-Bissau Bissau 409 497 600 709 827 3.90 3.77 3.35 3.07 Haiti Port-au-Prince 2,141 2,439 2,774 3,133 3,488 2.61 2.57 2.44 2.15 Honduras San Pedro Sula 646 767 903 1,034 1,160 3.44 3.25 2.72 2.30 Honduras Tegucigalpa 1,043 1,233 1,444 1,650 1,851 3.34 3.16 2.67 2.29 Hungary Budapest 1,734 1,746 1,768 1,782 1,786 0.13 0.25 0.16 0.04 India Agartala 390 475 575 670 755 3.95 3.84 3.07 2.39 India Agra 1,732 1,960 2,210 2,478 2,774 2.47 2.41 2.29 2.25 India Ahmadabad 6,250 7,109 8,059 9,062 10,148 2.58 2.51 2.34 2.26 India Ahmadnagar 378 391 404 432 480 0.67 0.66 1.34 2.09 India Aizawl 289 327 370 415 464 2.51 2.44 2.31 2.26 India Ajmer 547 580 614 665 740 1.16 1.14 1.60 2.13 India Akola 424 437 451 481 534 0.61 0.61 1.31 2.08 India Aligarh 893 1,042 1,211 1,380 1,548 3.09 3.00 2.61 2.31 India Allahabad 1,200 1,295 1,394 1,524 1,698 1.51 1.48 1.78 2.17 India Alwar 336 380 429 482 539 2.49 2.42 2.30 2.26 India Amravati 640 695 752 825 920 1.63 1.59 1.85 2.18 India Amritsar 1,171 1,271 1,377 1,511 1,685 1.65 1.61 1.85 2.18 India Anand 283 325 372 420 471 2.77 2.69 2.44 2.28 India Anantapur 334 388 449 510 573 3.00 2.92 2.57 2.30 India Arrah 257 291 329 370 414 2.51 2.44 2.31 2.26 India Asansol 1,231 1,328 1,431 1,565 1,744 1.53 1.49 1.79 2.17 India Aurangabad 1,170 1,353 1,558 1,767 1,982 2.90 2.82 2.52 2.29 India Baharampur 298 349 407 465 522 3.16 3.07 2.65 2.32 India Bangalore 8,296 10,141 12,327 14,395 16,227 4.02 3.90 3.10 2.40 India Barddhaman 342 377 414 458 511 1.94 1.89 2.01 2.20 India Bareilly 969 1,105 1,255 1,413 1,583 2.63 2.56 2.37 2.27 India Bathinda 281 322 368 415 465 2.74 2.67 2.43 2.28 India Begusarai 241 337 468 587 669 6.73 6.53 4.53 2.64 India Belgaum 603 662 725 800 893 1.87 1.82 1.97 2.20 India Bellary 403 459 521 586 656 2.59 2.52 2.35 2.26 India Bhagalpur 408 442 479 525 586 1.63 1.59 1.85 2.18 India Bhavnagar 600 649 700 767 855 1.57 1.54 1.81 2.17 India Bhilwara 354 401 452 507 568 2.49 2.43 2.30 2.26 India Bhiwandi 727 792 859 944 1,053 1.69 1.65 1.88 2.18 India Bhopal 1,854 2,108 2,390 2,686 3,008 2.57 2.50 2.34 2.26 India Bhubaneswar 868 1,007 1,163 1,321 1,482 2.96 2.88 2.55 2.30 India Bihar Sharif 292 331 373 419 469 2.48 2.41 2.29 2.25 India Bijapur 322 366 414 465 520 2.54 2.48 2.33 2.26 India Bikaner 636 702 772 854 953 1.96 1.91 2.02 2.21 India Bilaspur 445 518 600 682 766 3.03 2.95 2.58 2.30 India Bokaro Steel City 560 596 634 688 766 1.25 1.23 1.65 2.14 India Brahmapur 353 380 408 446 497 1.47 1.44 1.76 2.16 India Chandigarh 959 1,051 1,148 1,266 1,413 1.83 1.78 1.95 2.19

327 Statistical Annex

India Chandrapur 318 335 352 380 422 1.02 1.00 1.52 2.12 India Chennai (Madras) 8,506 9,677 10,971 12,336 13,814 2.58 2.51 2.35 2.26 India Cherthala 439 582 764 931 1,057 5.63 5.46 3.95 2.54 India Coimbatore 2,096 2,422 2,787 3,159 3,542 2.89 2.81 2.51 2.29 India Cuttack 658 699 742 805 896 1.22 1.19 1.63 2.14 India Darbhanga 305 328 351 383 426 1.42 1.38 1.73 2.16 India Davanagere 430 470 512 563 629 1.77 1.72 1.92 2.19 India Dehradun 693 799 919 1,041 1,167 2.86 2.79 2.50 2.29 India Delhi 21,988 25,866 30,291 34,666 38,939 3.25 3.16 2.70 2.32 India Deoghar 195 262 349 429 488 5.91 5.73 4.10 2.57 India Dewas 285 319 356 396 443 2.23 2.17 2.16 2.23 India Dhanbad 1,187 1,258 1,331 1,442 1,604 1.16 1.13 1.60 2.13 India Dhule 373 391 410 441 491 0.94 0.93 1.48 2.11 India Dhulian 231 302 393 477 541 5.43 5.27 3.85 2.52 India Dindigul 287 333 386 439 492 3.01 2.93 2.57 2.30 India Durgapur 575 624 675 741 826 1.63 1.59 1.85 2.18 India Durg-Bhilainagar 1,055 1,129 1,208 1,315 1,465 1.37 1.34 1.71 2.15 India English Bazar 307 363 427 490 550 3.35 3.26 2.75 2.33 India Erode 515 572 635 706 789 2.13 2.08 2.11 2.22 India Farrukhabad 288 315 344 380 424 1.82 1.77 1.94 2.19 India Firozabad 591 698 821 942 1,058 3.33 3.24 2.74 2.33 India Gandhidham 240 307 390 466 527 4.92 4.77 3.58 2.48 India Gaya 470 516 565 624 696 1.87 1.82 1.97 2.20 India Gorakhpur 691 724 758 817 908 0.94 0.93 1.48 2.11 India Gulbarga 535 601 673 752 841 2.33 2.27 2.21 2.24 India Guntur 658 751 854 962 1,078 2.64 2.57 2.38 2.27 India Guwahati (Gauhati) 952 1,032 1,117 1,224 1,365 1.62 1.58 1.84 2.18 India Gwalior 1,085 1,225 1,378 1,544 1,727 2.42 2.36 2.26 2.25 India Habra 297 322 348 382 426 1.63 1.59 1.85 2.18 India Haldwani-cum-kathgodam 226 274 329 382 430 3.79 3.68 2.98 2.37 India Hapur 259 289 321 357 399 2.16 2.10 2.12 2.22 India Hardwar 304 360 426 489 550 3.42 3.32 2.79 2.34 India Hisar 304 328 354 387 431 1.54 1.50 1.80 2.17 India Hosur 217 330 494 646 743 8.34 8.09 5.38 2.79 India Hubli-Dharwad 932 1,022 1,117 1,231 1,374 1.83 1.78 1.95 2.19 India Hyderabad 7,531 8,697 10,004 11,338 12,714 2.88 2.80 2.50 2.29 India Ichalkaranji 323 344 367 399 444 1.30 1.27 1.67 2.15 India Imphal 409 487 576 662 745 3.46 3.36 2.81 2.34 India Indore 2,119 2,535 3,017 3,483 3,918 3.58 3.48 2.87 2.36 India Jabalpur 1,257 1,351 1,450 1,582 1,763 1.45 1.41 1.75 2.16 India Jaipur 2,992 3,426 3,909 4,411 4,943 2.71 2.64 2.42 2.28 India Jalandhar 863 955 1,054 1,168 1,304 2.03 1.97 2.05 2.21 India Jalgaon 453 507 565 629 703 2.22 2.16 2.16 2.23 India Jalna 282 310 341 376 420 1.92 1.87 2.00 2.20 India Jammu 654 678 702 752 834 0.71 0.70 1.36 2.09 India Jamnagar 598 621 645 691 767 0.76 0.75 1.39 2.10 India Jamshedpur 1,322 1,456 1,599 1,768 1,974 1.93 1.88 2.00 2.20 India Jhansi 541 590 643 707 788 1.74 1.70 1.90 2.19

328 WORLD CITIES REPORT 2020

India Jodhpur 1,117 1,285 1,472 1,664 1,866 2.79 2.72 2.46 2.28 India Junagadh 314 354 397 444 497 2.37 2.31 2.23 2.24 India Kadapa 339 388 443 500 561 2.73 2.66 2.42 2.28 India Kakinada 438 475 514 564 629 1.62 1.58 1.84 2.18 India Kanhangad 223 276 340 399 451 4.28 4.16 3.24 2.42 India Kannur 1,608 1,871 2,167 2,465 2,766 3.02 2.94 2.58 2.30 India Kanpur 2,906 3,014 3,124 3,345 3,715 0.73 0.72 1.37 2.09 India Karimnagar 291 340 395 451 506 3.09 3.01 2.62 2.31 India Karnal 296 346 402 459 515 3.12 3.03 2.63 2.31 India Karur 228 281 346 406 458 4.23 4.11 3.22 2.41 India Kayamkulam 413 538 695 839 951 5.28 5.12 3.77 2.51 India Khammam 257 296 339 383 429 2.78 2.70 2.45 2.28 India Kharagpur 298 312 327 352 391 0.94 0.92 1.48 2.11 India Kochi (Cochin) 2,063 2,529 3,082 3,605 4,064 4.07 3.96 3.13 2.40 India Kolhapur 558 588 619 669 744 1.06 1.03 1.54 2.12 India Kolkata (Calcutta) 14,003 14,423 14,850 15,845 17,584 0.59 0.58 1.30 2.08 India Kollam 1,070 1,413 1,852 2,252 2,557 5.56 5.40 3.92 2.54 India Korba 362 389 418 456 508 1.46 1.42 1.75 2.16 India Kota 978 1,168 1,387 1,599 1,799 3.54 3.44 2.85 2.35 India Kottayam 340 489 696 885 1,013 7.26 7.04 4.81 2.69 India Kozhikode (Calicut) 1,948 2,643 3,555 4,387 4,993 6.11 5.93 4.21 2.59 India Kurnool 473 562 665 765 860 3.45 3.35 2.80 2.34 India Latur 377 426 479 537 601 2.44 2.38 2.27 2.25 India Lucknow 2,854 3,245 3,677 4,133 4,628 2.57 2.50 2.34 2.26 India Ludhiana 1,603 1,727 1,857 2,029 2,260 1.49 1.45 1.77 2.16 India Madurai 1,448 1,586 1,734 1,912 2,133 1.83 1.78 1.95 2.19 India Malappuram 1,616 2,354 3,391 4,344 4,976 7.52 7.30 4.95 2.72 India Malegaon 568 638 716 800 895 2.35 2.28 2.22 2.24 India Mangalore 618 664 713 779 868 1.45 1.42 1.75 2.16 India Mathura 448 515 588 665 745 2.75 2.68 2.44 2.28 India Maunath Bhanjan 274 313 358 403 452 2.71 2.63 2.41 2.28 India Meerut 1,403 1,545 1,696 1,875 2,093 1.92 1.88 2.00 2.20 India Moradabad 869 1,022 1,197 1,370 1,539 3.25 3.16 2.70 2.32 India Morvi 246 293 346 399 448 3.47 3.37 2.81 2.34 India Mumbai (Bombay) 18,257 19,316 20,411 22,089 24,572 1.13 1.10 1.58 2.13 India Muzaffarnagar 482 590 717 837 943 4.02 3.90 3.10 2.39 India Muzaffarpur 390 444 504 567 635 2.61 2.54 2.36 2.27 India Mysore 977 1,089 1,210 1,346 1,504 2.17 2.11 2.13 2.23 India Nagpur 2,471 2,677 2,893 3,170 3,534 1.60 1.56 1.83 2.17 India Nanded Waghala 542 612 690 773 865 2.45 2.39 2.28 2.25 India Nashik 1,531 1,782 2,066 2,351 2,638 3.04 2.96 2.59 2.31 India Navsari 279 308 339 375 419 1.96 1.91 2.02 2.21 India Nellore 547 642 751 859 965 3.22 3.13 2.68 2.32 India Nizamabad 310 321 333 357 397 0.75 0.74 1.38 2.10 India Ottappalam 230 299 385 465 527 5.24 5.09 3.75 2.51 India Palakkad 289 326 368 412 461 2.44 2.38 2.27 2.25 India Panipat 438 491 548 611 683 2.27 2.21 2.18 2.24 India Parbhani 304 331 359 394 440 1.69 1.65 1.88 2.18

329 Statistical Annex

India Patiala 437 513 599 685 769 3.20 3.12 2.67 2.32 India Patna 2,024 2,223 2,436 2,690 3,002 1.88 1.83 1.98 2.20 India Puducherry 646 736 836 941 1,054 2.62 2.55 2.36 2.27 India Pune (Poona) 4,960 5,746 6,629 7,526 8,442 2.94 2.86 2.54 2.30 India Purnia 303 382 478 566 640 4.61 4.48 3.41 2.45 India Raipur 1,093 1,344 1,642 1,923 2,169 4.13 4.01 3.16 2.41 India Rajahmundry 472 507 544 593 661 1.42 1.39 1.74 2.16 India Rajkot 1,361 1,602 1,878 2,150 2,416 3.27 3.18 2.71 2.33 India Rampur 344 383 426 474 529 2.16 2.10 2.12 2.23 India Ranchi 1,107 1,264 1,439 1,622 1,817 2.66 2.59 2.39 2.27 India Raniganj 221 302 410 508 578 6.28 6.10 4.30 2.60 India Ranipet 259 304 356 407 457 3.23 3.14 2.69 2.32 India Ratlam 271 293 316 346 386 1.56 1.52 1.81 2.17 India Raurkela 547 584 623 677 754 1.30 1.27 1.67 2.15 India Rohtak 368 415 467 522 584 2.39 2.33 2.25 2.25 India Roorkee 232 287 354 416 469 4.29 4.16 3.25 2.42 India Sagar 366 400 437 482 538 1.81 1.76 1.94 2.19 India Saharanpur 685 853 1,054 1,242 1,403 4.37 4.24 3.29 2.43 India Salem 905 1,000 1,102 1,221 1,363 2.00 1.94 2.04 2.21 India Sangli 509 546 584 636 708 1.38 1.35 1.71 2.15 India Santipur 285 324 367 412 462 2.55 2.48 2.33 2.26 India Satna 279 310 343 381 426 2.10 2.05 2.09 2.22 India Shahjahanpur 346 360 374 401 445 0.78 0.76 1.39 2.10 India Shillong 348 401 460 520 583 2.82 2.74 2.47 2.29 India Shimoga 319 346 375 411 458 1.62 1.58 1.84 2.18 India Siliguri 687 840 1,020 1,191 1,343 4.01 3.90 3.10 2.39 India Solapur 946 988 1,031 1,108 1,231 0.87 0.85 1.44 2.11 India Srinagar 1,244 1,407 1,586 1,778 1,990 2.46 2.40 2.28 2.25 India Surat 4,445 5,671 7,185 8,582 9,711 4.87 4.73 3.55 2.47 India Thanjavur 288 312 337 369 412 1.59 1.55 1.82 2.17 India Thiruvananthapuram 1,628 2,058 2,585 3,073 3,474 4.69 4.55 3.46 2.46 India Thoothukkudi (Tuticorin) 403 476 561 644 724 3.37 3.27 2.76 2.34 India Thrissur 1,795 2,356 3,068 3,720 4,221 5.44 5.28 3.85 2.53 India Tiruchirappalli 1,013 1,087 1,165 1,270 1,415 1.41 1.38 1.73 2.16 India Tirunelveli 493 529 566 616 687 1.39 1.36 1.72 2.15 India Tirupati 449 554 679 797 899 4.20 4.08 3.20 2.41 India Tiruppur 933 1,186 1,496 1,784 2,018 4.79 4.66 3.51 2.47 India Tumkur 298 329 361 399 446 1.94 1.89 2.01 2.21 India Udaipur 468 517 569 630 704 1.98 1.93 2.03 2.21 India Ujjain 509 557 607 668 746 1.78 1.74 1.92 2.19 India Vadodara 1,798 1,987 2,190 2,425 2,708 2.00 1.95 2.04 2.21 India Varanasi (Benares) 1,417 1,537 1,665 1,826 2,036 1.63 1.59 1.85 2.18 India Vellore 479 523 569 626 698 1.74 1.70 1.90 2.19 India Vijayawada 1,443 1,720 2,040 2,351 2,644 3.51 3.41 2.84 2.35 India Visakhapatnam 1,700 1,926 2,175 2,440 2,732 2.50 2.43 2.30 2.26 India Warangal 740 844 960 1,080 1,210 2.63 2.56 2.37 2.27 India Yamunanagar 379 414 451 496 553 1.75 1.71 1.91 2.19 Indonesia Ambon 334 415 513 604 668 4.34 4.28 3.25 2.03

330 WORLD CITIES REPORT 2020

Indonesia Balikpapan 559 618 682 754 825 1.98 1.99 2.00 1.81 Indonesia Bandar Lampung 885 983 1,092 1,210 1,326 2.10 2.10 2.06 1.82 Indonesia Bandung 2,398 2,484 2,580 2,758 3,002 0.71 0.76 1.33 1.70 Indonesia Banjarmasin 627 677 732 800 874 1.54 1.56 1.77 1.77 Indonesia Batam 926 1,199 1,546 1,859 2,065 5.17 5.08 3.69 2.10 Indonesia Bekasi 2,349 2,827 3,394 3,926 4,332 3.70 3.66 2.91 1.97 Indonesia Bengkulu 310 353 401 451 495 2.60 2.58 2.33 1.87 Indonesia Bogor 953 1,051 1,160 1,281 1,402 1.96 1.96 1.99 1.81 Indonesia Cirebon 297 308 320 342 373 0.74 0.78 1.35 1.70 Indonesia Denpasar 792 884 987 1,097 1,203 2.21 2.21 2.12 1.83 Indonesia Depok 1,752 2,190 2,727 3,218 3,564 4.46 4.39 3.31 2.04 Indonesia Jakarta 9,626 10,173 10,770 11,634 12,687 1.11 1.14 1.54 1.73 Indonesia Jambi 533 578 626 685 749 1.60 1.62 1.80 1.78 Indonesia Jayapura 258 284 314 347 380 1.98 1.99 2.01 1.81 Indonesia Makassar (Ujung Pandang) 1,335 1,454 1,584 1,737 1,900 1.70 1.71 1.85 1.79 Indonesia Malang 821 852 887 949 1,033 0.74 0.79 1.35 1.70 Indonesia Manado 411 426 443 474 516 0.72 0.77 1.34 1.70 Indonesia Mataram 404 452 505 562 616 2.22 2.22 2.13 1.83 Indonesia Medan 2,101 2,215 2,338 2,522 2,749 1.05 1.08 1.51 1.73 Indonesia Padang 836 905 980 1,073 1,172 1.59 1.61 1.80 1.78 Indonesia Palembang 1,459 1,585 1,723 1,888 2,064 1.65 1.67 1.83 1.78 Indonesia Pekalongan 282 297 313 338 368 1.04 1.07 1.51 1.73 Indonesia Pekan Baru 902 1,043 1,205 1,365 1,500 2.91 2.88 2.49 1.90 Indonesia Pontianak 556 609 668 735 804 1.82 1.83 1.92 1.80 Indonesia Samarinda 731 860 1,010 1,155 1,272 3.25 3.21 2.67 1.93 Indonesia Semarang 1,561 1,706 1,866 2,052 2,245 1.78 1.80 1.90 1.79 Indonesia Sukabumi 299 319 340 369 402 1.26 1.29 1.62 1.75 Indonesia Surabaya 2,768 2,851 2,944 3,138 3,413 0.59 0.64 1.27 1.69 Indonesia Surakarta 500 513 527 561 610 0.51 0.56 1.23 1.68 Indonesia Tangerang 1,806 2,056 2,339 2,627 2,884 2.59 2.58 2.32 1.87 Indonesia Tasikmalaya 584 788 1,056 1,298 1,447 5.99 5.87 4.12 2.18 Indonesia Yogyakarta 389 414 440 476 520 1.20 1.23 1.59 1.74 Iran (Islamic Republic of) Ahvaz 1,077 1,166 1,244 1,325 1,394 1.59 1.30 1.25 1.02 Iran (Islamic Republic of) Arak 474 511 551 590 621 1.52 1.49 1.36 1.04 Iran (Islamic Republic of) Ardabil 465 517 568 614 648 2.14 1.87 1.57 1.07 Iran (Islamic Republic of) Bandar Abbas 420 502 607 691 736 3.57 3.78 2.60 1.25 Iran (Islamic Republic of) Esfahan 1,714 1,908 2,132 2,328 2,461 2.14 2.22 1.76 1.11 Iran (Islamic Republic of) Eslamshahr 380 433 498 553 586 2.56 2.83 2.09 1.17 Iran (Islamic Republic of) Gorgan 314 345 368 392 412 1.90 1.27 1.24 1.02 Iran (Islamic Republic of) Hamadan 513 547 578 612 643 1.28 1.09 1.14 1.00 Iran (Islamic Republic of) Karaj 1,551 1,598 1,580 1,615 1,687 0.60 - 0.22 0.43 0.88 Iran (Islamic Republic of) Kashan 269 297 329 357 377 1.94 2.03 1.65 1.09 Iran (Islamic Republic of) Kerman 529 537 541 559 585 0.29 0.17 0.64 0.91 Iran (Islamic Republic of) Kermanshah 836 922 1,026 1,117 1,181 1.95 2.14 1.71 1.10 Iran (Islamic Republic of) Khorramabad 344 367 394 421 443 1.27 1.43 1.32 1.03 Iran (Islamic Republic of) Mashhad 2,661 2,936 3,208 3,461 3,650 1.97 1.77 1.51 1.07 Iran (Islamic Republic of) Orumiyeh 644 718 793 860 908 2.18 1.98 1.63 1.08 Iran (Islamic Republic of) Qazvin 374 397 420 445 468 1.18 1.11 1.15 1.00

331 Statistical Annex

Iran (Islamic Republic of) Qods 268 303 331 357 377 2.42 1.78 1.52 1.07 Iran (Islamic Republic of) Qom 1,060 1,174 1,288 1,392 1,469 2.05 1.86 1.56 1.07 Iran (Islamic Republic of) Rasht 617 670 713 758 797 1.64 1.24 1.23 1.02 Iran (Islamic Republic of) Sanandaj 358 403 445 483 510 2.35 1.99 1.63 1.09 Iran (Islamic Republic of) Sari 287 306 321 338 355 1.33 0.92 1.05 0.98 Iran (Islamic Republic of) Shahriyar 232 293 364 420 448 4.69 4.30 2.89 1.30 Iran (Islamic Republic of) Shiraz 1,395 1,539 1,651 1,764 1,857 1.96 1.41 1.32 1.03 Iran (Islamic Republic of) Tabriz 1,469 1,542 1,611 1,696 1,781 0.98 0.87 1.02 0.98 Iran (Islamic Republic of) Tehran 8,059 8,555 9,135 9,730 10,240 1.20 1.31 1.26 1.02 Iran (Islamic Republic of) Yazd 471 518 565 609 643 1.90 1.74 1.49 1.06 Iran (Islamic Republic of) Zahedan 562 581 610 644 676 0.64 0.98 1.08 0.99 Iran (Islamic Republic of) Zanjan 377 419 467 510 539 2.15 2.17 1.73 1.10 Iraq Al-Basrah (Basra) 1,113 1,226 1,352 1,525 1,751 1.93 1.96 2.40 2.76 Iraq Al-Mawsil (Mosul) 1,175 1,384 1,630 1,904 2,200 3.28 3.27 3.11 2.89 Iraq Amara 446 541 656 778 901 3.87 3.84 3.42 2.94 Iraq Baaqoobah 235 276 324 377 436 3.20 3.19 3.07 2.88 Iraq Baghdad 5,652 6,351 7,144 8,141 9,365 2.33 2.35 2.61 2.80 Iraq Diwaniyah 346 422 513 611 708 3.97 3.94 3.48 2.95 Iraq Faloojah 220 321 347 386 442 7.61 1.52 2.16 2.72 Iraq Hillah 399 560 604 673 771 6.76 1.52 2.16 2.72 Iraq Irbil (Erbil) 735 788 846 941 1,077 1.38 1.43 2.11 2.71 Iraq Karbala 575 514 555 618 709 - 2.24 1.52 2.16 2.72 Iraq Kirkuk 806 938 1,013 1,128 1,293 3.03 1.52 2.16 2.72 Iraq Kut 331 437 471 525 602 5.57 1.52 2.16 2.72 Iraq Najaf 637 746 874 1,018 1,175 3.16 3.16 3.05 2.88 Iraq Nasiriyah 468 538 617 711 819 2.75 2.76 2.83 2.84 Iraq Ramadi 208 419 452 504 577 13.97 1.52 2.16 2.72 Iraq Samarra 138 289 312 347 398 14.78 1.52 2.16 2.72 Iraq Sulaimaniya 574 651 739 847 975 2.52 2.54 2.71 2.82 Ireland Dublin 1,100 1,163 1,228 1,299 1,374 1.11 1.09 1.12 1.12 Israel Be’er Sheva 554 597 638 676 723 1.51 1.31 1.16 1.36 Israel Hefa (Haifa) 1,047 1,101 1,147 1,200 1,281 1.00 0.82 0.90 1.31 Israel Jerusalem 781 858 932 997 1,069 1.86 1.66 1.35 1.39 Israel Tel Aviv-Yafo (Tel Aviv-Jaffa) 3,311 3,703 4,181 4,569 4,916 2.24 2.43 1.77 1.46 Italy Bari 614 619 622 626 633 0.18 0.11 0.10 0.25 Italy Barletta 336 339 341 343 347 0.17 0.11 0.10 0.25 Italy Bergamo 789 841 892 923 939 1.28 1.18 0.69 0.35 Italy Bologna 762 785 806 819 831 0.60 0.52 0.33 0.29 Italy Brescia 443 464 484 496 504 0.94 0.85 0.51 0.32 Italy Busto Arsizio 606 631 654 669 679 0.81 0.72 0.44 0.31 Italy Cagliari 469 473 476 479 485 0.19 0.12 0.11 0.25 Italy Caserta 411 420 428 433 439 0.43 0.36 0.24 0.27 Italy Catania 578 583 586 589 596 0.17 0.10 0.10 0.25 Italy Como 442 462 481 493 500 0.89 0.80 0.48 0.31 Italy Firenze (Florence) 693 702 708 714 723 0.26 0.19 0.15 0.26 Italy Genova (Genoa) 704 692 680 674 681 - 0.32 - 0.37 - 0.16 0.20 Italy Latina 388 418 449 467 476 1.51 1.40 0.81 0.37 Italy Lecco 287 298 308 314 319 0.74 0.65 0.40 0.30

332 WORLD CITIES REPORT 2020

Italy Milano (Milan) 3,056 3,103 3,140 3,167 3,209 0.31 0.24 0.17 0.26 Italy Modena 328 342 356 364 370 0.85 0.76 0.46 0.31 Italy Napoli (Naples) 2,216 2,204 2,187 2,182 2,207 - 0.10 - 0.16 - 0.04 0.22 Italy Nola 310 318 325 330 335 0.53 0.45 0.29 0.28 Italy Padova 628 656 684 700 711 0.90 0.81 0.49 0.31 Italy Palermo 855 854 851 851 861 - 0.02 - 0.08 0.00 0.23 Italy Parma 300 315 328 336 342 0.93 0.84 0.50 0.32 Italy Pescara 353 365 377 385 390 0.72 0.63 0.39 0.30 Italy Reggio Emilia 322 344 367 380 387 1.36 1.26 0.73 0.36 Italy Roma (Rome) 3,957 4,113 4,257 4,347 4,413 0.77 0.69 0.42 0.30 Italy Salerno 408 414 419 423 429 0.32 0.24 0.18 0.26 Italy Seregno 556 589 620 639 650 1.13 1.03 0.61 0.33 Italy Taranto 457 459 460 462 467 0.10 0.04 0.06 0.24 Italy Torino (Turin) 1,737 1,767 1,792 1,810 1,834 0.35 0.28 0.20 0.26 Italy Treviso 332 353 374 386 393 1.23 1.13 0.66 0.34 Italy Venezia 618 629 637 643 652 0.34 0.26 0.19 0.26 Italy Verona 582 606 630 644 654 0.84 0.75 0.45 0.31 Italy Vicenza 301 314 326 334 339 0.87 0.78 0.47 0.31 Jamaica Kingston 584 587 591 604 625 0.10 0.12 0.43 0.69 Japan Akita 324 316 307 296 286 - 0.49 - 0.59 - 0.70 - 0.73 Japan Asahikawa 347 340 331 320 310 - 0.44 - 0.54 - 0.65 - 0.68 Japan Chukyo M.M.A. (Nagoya) 9,098 9,350 9,552 9,535 9,407 0.55 0.43 - 0.04 - 0.27 Japan Fukuyama 461 465 465 460 454 0.15 0.03 - 0.22 - 0.27 Japan Hiroshima 2,098 2,097 2,083 2,058 2,031 - 0.01 - 0.13 - 0.24 - 0.27 Japan Iwaki 343 350 356 354 349 0.40 0.34 - 0.09 - 0.30 Japan Kagoshima 606 600 591 579 566 - 0.19 - 0.30 - 0.42 - 0.44 Japan Kanazawa 462 466 466 461 455 0.15 0.03 - 0.22 - 0.27 Japan Kinki M.M.A. (Osaka) 19,313 19,305 19,165 18,922 18,658 - 0.01 - 0.14 - 0.26 - 0.28 Japan Kitakyushu-Fukuoka M.M.A. 5,519 5,537 5,529 5,466 5,395 0.06 - 0.03 - 0.23 - 0.26 Japan Kochi 344 338 330 320 311 - 0.36 - 0.47 - 0.58 - 0.60 Japan Koriyama 339 336 331 324 317 - 0.18 - 0.30 - 0.41 - 0.43 Japan Kumamoto 734 741 743 735 726 0.17 0.06 - 0.20 - 0.26 Japan Kurashiki 475 477 476 470 464 0.08 - 0.04 - 0.24 - 0.27 Japan Kurume 303 304 305 302 297 0.12 0.03 - 0.22 - 0.28 Japan Maebashi 340 336 331 323 315 - 0.23 - 0.35 - 0.46 - 0.48 Japan Matsuyama 517 515 510 502 494 - 0.08 - 0.20 - 0.31 - 0.33 Japan Miyazaki 400 401 399 395 390 0.04 - 0.08 - 0.24 - 0.26 Japan Nagano 382 378 372 364 356 - 0.21 - 0.31 - 0.42 - 0.45 Japan Nagasaki 444 430 414 397 379 - 0.65 - 0.76 - 0.87 - 0.89 Japan Naha 316 319 321 318 313 0.22 0.10 - 0.20 - 0.30 Japan Niigata 812 810 804 794 783 - 0.04 - 0.15 - 0.26 - 0.28 Japan Oita 473 478 479 474 468 0.19 0.06 - 0.20 - 0.26 Japan Okayama 709 719 725 719 709 0.28 0.16 - 0.17 - 0.28 Japan Sapporo 2,586 2,634 2,670 2,654 2,612 0.37 0.27 - 0.12 - 0.32 Japan Sendai 2,176 2,252 2,327 2,338 2,301 0.69 0.65 0.09 - 0.31 Japan Shizuoka-Hamamatsu M.M.A. 2,713 2,837 2,922 2,930 2,883 0.90 0.59 0.05 - 0.33 Japan Takamatsu 419 421 420 415 409 0.06 - 0.05 - 0.24 - 0.27 Japan Takasaki 371 371 369 364 359 - 0.00 - 0.13 - 0.24 - 0.26

333 Statistical Annex

Japan Tokyo 36,860 37,256 37,393 37,036 36,574 0.21 0.07 - 0.19 - 0.25 Japan Toyama 422 419 413 406 398 - 0.15 - 0.26 - 0.37 - 0.40 Japan Toyohashi 376 375 371 365 359 - 0.08 - 0.21 - 0.32 - 0.34 Japan Utsunomiya 511 518 522 518 510 0.27 0.15 - 0.17 - 0.28 Jordan Al-Quwaysimah 203 288 385 431 460 7.02 5.81 2.26 1.30 Jordan Amman 1,397 1,783 2,148 2,273 2,402 4.88 3.73 1.13 1.10 Jordan Ar-Rusayfah 340 466 524 533 560 6.28 2.33 0.37 0.97 Jordan Irbid 367 496 557 567 596 6.00 2.33 0.37 0.97 Jordan Tila al-Ali 171 244 327 368 393 7.13 5.91 2.32 1.31 Jordan Zarqa 505 624 729 759 799 4.25 3.12 0.80 1.04 Kazakhstan Aktyubinsk 356 397 431 453 480 2.18 1.67 0.99 1.13 Kazakhstan Almaty 1,424 1,665 1,896 2,042 2,170 3.13 2.59 1.49 1.21 Kazakhstan Astana 664 894 1,166 1,353 1,456 5.94 5.32 2.97 1.47 Kazakhstan Karaganda 466 491 505 515 542 1.03 0.56 0.38 1.02 Kazakhstan Pavlodar 320 331 335 339 356 0.69 0.23 0.20 0.99 Kazakhstan Semipalatinsk 303 315 321 326 343 0.83 0.37 0.28 1.00 Kazakhstan Shimkent 647 840 1,058 1,204 1,291 5.21 4.61 2.58 1.40 Kazakhstan Taraz 327 350 366 377 397 1.39 0.91 0.57 1.06 Kazakhstan Ust-Kamenogorsk 307 321 328 333 351 0.89 0.42 0.31 1.01 Kenya Eldoret 261 321 394 484 591 4.12 4.12 4.11 3.99 Kenya Kisumu 266 307 355 422 513 2.88 2.92 3.46 3.88 Kenya Mombasa 940 1,103 1,296 1,553 1,889 3.19 3.22 3.62 3.91 Kenya Nairobi 3,237 3,914 4,735 5,767 7,031 3.80 3.81 3.94 3.96 Kenya Nakuru 293 335 383 453 550 2.67 2.71 3.35 3.86 Kenya Ruiru 244 308 389 485 593 4.66 4.65 4.40 4.04 Kuwait Al Kuwayt (Kuwait City) 1,994 2,568 3,115 3,405 3,622 5.06 3.86 1.78 1.23 Kyrgyzstan Bishkek 844 936 1,038 1,151 1,279 2.07 2.07 2.06 2.10 Lao People’s Democratic Vientiane 606 642 683 756 861 1.16 1.22 2.04 2.61 Republic Latvia Riga 665 646 631 616 602 - 0.57 - 0.47 - 0.48 - 0.45 Lebanon Bayrut (Beirut) 1,990 2,229 2,424 2,379 2,311 2.26 1.68 - 0.38 - 0.58 Liberia Monrovia 1,056 1,270 1,517 1,795 2,120 3.69 3.56 3.36 3.33 Libya Banghazi 678 751 824 882 938 2.05 1.85 1.36 1.22 Libya Misratah 513 678 881 1,035 1,118 5.56 5.25 3.21 1.55 Libya Tarabulus (Tripoli) 1,095 1,134 1,165 1,203 1,272 0.69 0.54 0.65 1.10 Lithuania Vilnius 526 531 539 542 541 0.21 0.29 0.10 - 0.03 Madagascar Antananarivo 2,021 2,618 3,369 4,229 5,189 5.17 5.04 4.55 4.09 Madagascar Antsirabe 215 277 356 446 547 5.12 4.99 4.52 4.09 Madagascar Toamasina 246 328 434 554 682 5.78 5.62 4.87 4.15 Malawi Blantyre-Limbe 701 808 932 1,114 1,389 2.83 2.87 3.56 4.41 Malawi Lilongwe 731 905 1,122 1,393 1,748 4.28 4.28 4.33 4.54 Malaysia Alor Star 254 296 342 382 416 3.08 2.88 2.25 1.69 Malaysia Ipoh 664 738 814 888 962 2.12 1.95 1.74 1.61 Malaysia Johor Bahru 807 913 1,024 1,128 1,224 2.47 2.29 1.93 1.64 Malaysia Kota Bharu 297 323 348 375 405 1.65 1.50 1.50 1.56 Malaysia Kota Kinabalu 413 479 550 613 667 2.96 2.77 2.19 1.68 Malaysia Kuala Lumpur 5,810 6,851 7,997 9,000 9,805 3.30 3.09 2.36 1.71 Malaysia Kuala Terengganu 315 349 384 419 454 2.08 1.92 1.72 1.60 Malaysia Kuantan 383 441 503 559 608 2.82 2.63 2.11 1.67

334 WORLD CITIES REPORT 2020

Malaysia Kuching 510 561 612 663 718 1.89 1.73 1.62 1.59 Malaysia Sandakan 323 350 375 403 436 1.56 1.41 1.45 1.55 Malaysia Seremban 373 423 475 523 568 2.50 2.32 1.94 1.64 Mali Bamako 1,886 2,219 2,618 3,180 3,932 3.26 3.30 3.89 4.24 Mali Sikasso 240 305 386 488 607 4.74 4.74 4.68 4.38 Mauritania Nouakchott 851 1,058 1,315 1,613 1,925 4.36 4.35 4.09 3.53 Mexico Acapulco de Juárez 864 920 979 1,047 1,114 1.25 1.25 1.33 1.24 Mexico Aguascalientes 934 1,017 1,106 1,197 1,276 1.70 1.69 1.57 1.28 Mexico Cancún 679 802 944 1,065 1,144 3.32 3.26 2.42 1.43 Mexico Celaya 603 640 681 727 774 1.22 1.23 1.31 1.24 Mexico Chihuahua 854 950 1,055 1,154 1,232 2.12 2.10 1.79 1.32 Mexico Ciudad de México (Mexico City) 20,137 21,340 21,782 22,752 24,111 1.16 0.41 0.87 1.16 Mexico Ciudad Juárez 1,334 1,423 1,519 1,626 1,730 1.30 1.31 1.36 1.24 Mexico Ciudad Obregón 299 334 372 408 436 2.20 2.18 1.83 1.33 Mexico Ciudad Victoria 306 333 362 392 418 1.71 1.70 1.57 1.28 Mexico Coatzacoalcos 348 371 395 423 450 1.28 1.28 1.35 1.24 Mexico Colima 335 371 410 447 478 2.03 2.02 1.74 1.31 Mexico Córdoba 316 334 352 375 398 1.07 1.09 1.24 1.22 Mexico Cuautla Morelos 435 474 517 559 596 1.73 1.72 1.59 1.28 Mexico Cuernavaca 926 998 1,075 1,156 1,232 1.49 1.49 1.46 1.26 Mexico Culiacán 677 754 839 918 981 2.16 2.14 1.81 1.32 Mexico Durango 520 573 631 687 733 1.95 1.94 1.70 1.30 Mexico Ensenada 280 306 335 363 387 1.79 1.78 1.62 1.29 Mexico Guadalajara 4,441 4,796 5,179 5,579 5,943 1.54 1.54 1.48 1.27 Mexico Hermosillo 716 789 868 944 1,008 1.93 1.91 1.69 1.30 Mexico Irapuato 381 416 453 490 522 1.71 1.71 1.58 1.28 Mexico La Laguna 1,063 1,313 1,615 1,867 2,013 4.22 4.14 2.90 1.51 Mexico León de los Aldamas 1,611 1,714 1,825 1,950 2,075 1.24 1.25 1.33 1.24 Mexico Los Mochis 257 284 313 342 365 1.99 1.98 1.72 1.31 Mexico Matamoros 490 525 563 604 643 1.39 1.39 1.40 1.25 Mexico Mazatlán 382 417 455 492 525 1.74 1.74 1.59 1.28 Mexico Mérida 975 1,064 1,161 1,258 1,342 1.76 1.75 1.60 1.29 Mexico Mexicali 938 1,026 1,121 1,215 1,296 1.78 1.77 1.61 1.29 Mexico Minatitlán 356 378 401 428 455 1.17 1.18 1.29 1.23 Mexico Monclova 318 339 361 386 411 1.27 1.28 1.34 1.24 Mexico Monterrey 4,112 4,478 4,874 5,272 5,621 1.70 1.70 1.57 1.28 Mexico Morelia 831 888 949 1,016 1,082 1.33 1.33 1.37 1.25 Mexico Nuevo Laredo 385 414 447 481 512 1.50 1.50 1.46 1.26 Mexico Oaxaca de Juárez 609 655 705 757 806 1.46 1.46 1.44 1.26 Mexico Orizaba 428 451 475 505 537 1.05 1.06 1.23 1.22 Mexico Pachuca de Soto 513 570 633 693 740 2.12 2.10 1.79 1.32 Mexico Poza Rica de Hidalgo 514 538 565 598 636 0.93 0.95 1.16 1.21 Mexico Puebla 2,732 2,955 3,195 3,443 3,669 1.56 1.56 1.50 1.27 Mexico Puerto Vallarta 381 444 516 578 620 3.06 3.01 2.28 1.40 Mexico Querétaro 1,099 1,214 1,339 1,459 1,558 1.99 1.97 1.72 1.31 Mexico Reynosa 728 810 899 983 1,050 2.11 2.09 1.79 1.32 Mexico Saltillo 824 901 984 1,066 1,137 1.77 1.76 1.61 1.29 Mexico San Luis Potosí 1,042 1,126 1,217 1,311 1,396 1.55 1.55 1.49 1.27

335 Statistical Annex

Mexico Tampico 861 928 1,001 1,078 1,148 1.52 1.51 1.47 1.26 Mexico Tehuacán 297 319 342 367 391 1.40 1.40 1.41 1.25 Mexico Tepic 430 485 546 601 643 2.40 2.37 1.94 1.34 Mexico Tijuana 1,754 1,939 2,140 2,333 2,491 2.00 1.98 1.73 1.31 Mexico Tlaxcala 500 546 596 646 689 1.76 1.75 1.60 1.29 Mexico Toluca de Lerdo 1,940 2,189 2,467 2,720 2,909 2.42 2.39 1.95 1.35 Mexico Tuxtla Gutierrez 685 763 848 928 991 2.14 2.12 1.80 1.32 Mexico Uruapán 265 296 330 362 387 2.21 2.18 1.84 1.33 Mexico Veracruz 813 864 919 981 1,044 1.22 1.23 1.32 1.24 Mexico Villahermosa 757 825 898 972 1,037 1.72 1.72 1.58 1.28 Mexico Xalapa 667 719 776 835 889 1.50 1.50 1.47 1.26 Mexico Zacatecas 310 338 369 399 425 1.73 1.72 1.59 1.28 Mongolia Ulaanbaatar 1,138 1,365 1,584 1,725 1,841 3.63 2.99 1.70 1.30 Morocco Agadir 760 838 924 1,017 1,108 1.95 1.95 1.93 1.72 Morocco Dar-el-Beida (Casablanca) 3,447 3,593 3,752 4,012 4,349 0.83 0.87 1.34 1.61 Morocco Fès 1,039 1,127 1,224 1,337 1,455 1.63 1.65 1.76 1.69 Morocco Kénitra 400 438 480 527 574 1.83 1.84 1.87 1.70 Morocco Marrakech 880 939 1,003 1,085 1,179 1.29 1.32 1.58 1.66 Morocco Meknès 498 525 554 595 646 1.04 1.07 1.45 1.63 Morocco Oujda 453 503 559 618 673 2.10 2.10 2.01 1.73 Morocco Rabat 1,714 1,796 1,885 2,021 2,192 0.93 0.97 1.40 1.62 Morocco Safi 298 311 324 346 375 0.80 0.84 1.33 1.61 Morocco Tanger 830 999 1,198 1,381 1,517 3.69 3.64 2.85 1.87 Morocco Tétouan 354 386 421 461 502 1.72 1.73 1.81 1.69 Mozambique Beira 459 511 570 667 813 2.13 2.19 3.13 3.96 Mozambique Chimoio 271 339 425 529 653 4.51 4.50 4.39 4.18 Mozambique Maputo 1,097 1,100 1,110 1,230 1,486 0.06 0.19 2.05 3.78 Mozambique Matola 868 1,346 1,706 1,985 2,418 8.78 4.74 3.03 3.95 Mozambique Nampula 539 676 848 1,057 1,303 4.54 4.54 4.41 4.19 Mozambique Quelimane 230 309 415 536 665 5.93 5.88 5.14 4.31 Mozambique Tete 190 266 371 490 610 6.74 6.66 5.56 4.39 Myanmar Mandalay 1,108 1,268 1,438 1,594 1,757 2.69 2.52 2.07 1.95 Myanmar Nay Pyi Taw 234 376 594 788 896 9.52 9.14 5.67 2.57 Myanmar Yangon 4,381 4,851 5,332 5,813 6,389 2.04 1.89 1.73 1.89 Namibia Windhoek 314 368 431 511 599 3.15 3.18 3.41 3.16 Nepal Kathmandu 965 1,179 1,424 1,673 1,939 4.01 3.77 3.23 2.95 Nepal Pokhara 252 328 421 511 596 5.28 5.00 3.90 3.07 Netherlands Amsterdam 1,065 1,106 1,149 1,189 1,219 0.76 0.76 0.69 0.49 Netherlands Eindhoven 329 344 359 373 382 0.88 0.88 0.75 0.50 Netherlands Rotterdam 1,003 1,006 1,010 1,026 1,049 0.06 0.08 0.32 0.43 Netherlands s-Gravenhage (The Hague) 637 667 698 725 744 0.92 0.91 0.77 0.51 Netherlands Utrecht 466 504 544 576 592 1.57 1.54 1.11 0.57 New Zealand Auckland 1,335 1,465 1,607 1,711 1,791 1.86 1.84 1.26 0.92 New Zealand Christchurch 375 387 399 410 427 0.61 0.61 0.59 0.80 New Zealand Wellington 387 402 415 428 445 0.77 0.63 0.60 0.80 Nicaragua Managua 992 1,027 1,064 1,121 1,203 0.69 0.71 1.05 1.41 Niger Niamey 954 1,109 1,292 1,561 1,988 3.01 3.05 3.79 4.83 Niger Zinder 282 372 489 632 813 5.52 5.48 5.11 5.06

336 WORLD CITIES REPORT 2020

Nigeria Aba 825 943 1,081 1,275 1,527 2.69 2.73 3.29 3.61 Nigeria Abakaliki 336 439 572 723 877 5.34 5.30 4.69 3.86 Nigeria Abeokuta 460 494 533 608 724 1.43 1.51 2.62 3.50 Nigeria Abuja 1,814 2,442 3,278 4,210 5,119 5.95 5.89 5.01 3.91 Nigeria Ado-Ekiti 337 402 480 578 695 3.52 3.54 3.73 3.69 Nigeria Akure 465 556 666 803 966 3.58 3.59 3.76 3.70 Nigeria Bauchi 412 496 598 724 871 3.71 3.73 3.83 3.71 Nigeria Benin City 1,296 1,495 1,727 2,045 2,451 2.85 2.89 3.37 3.63 Nigeria Birnin Kebbi 248 301 366 446 537 3.90 3.90 3.93 3.72 Nigeria Calabar 376 467 579 713 861 4.32 4.32 4.15 3.76 Nigeria Effon Alaiye 282 328 384 457 548 3.07 3.11 3.49 3.65 Nigeria Enugu 600 680 773 907 1,085 2.51 2.56 3.19 3.60 Nigeria Gboko 328 380 442 524 629 2.96 3.00 3.43 3.64 Nigeria Gombe 342 417 509 620 747 3.97 3.97 3.96 3.73 Nigeria Gwagwalada 173 267 410 566 697 8.70 8.55 6.46 4.16 Nigeria Ibadan 2,814 3,157 3,552 4,144 4,956 2.30 2.36 3.08 3.58 Nigeria Ife 293 331 374 438 524 2.42 2.47 3.15 3.59 Nigeria Igbidu 358 402 453 528 632 2.32 2.37 3.09 3.58 Nigeria Ijebu-Ode 257 297 345 409 490 2.92 2.95 3.41 3.63 Nigeria Ikorodu 531 706 938 1,197 1,454 5.71 5.66 4.88 3.89 Nigeria Ikot Ekpene 255 312 383 468 564 4.07 4.07 4.02 3.74 Nigeria Ilesha 247 297 357 432 520 3.68 3.69 3.81 3.70 Nigeria Ilorin 774 856 950 1,100 1,314 2.02 2.08 2.93 3.55 Nigeria Jos 734 809 895 1,035 1,236 1.95 2.02 2.90 3.55 Nigeria Kaduna 988 1,046 1,113 1,260 1,499 1.15 1.24 2.48 3.47 Nigeria Kano 3,221 3,583 3,999 4,645 5,551 2.13 2.20 3.00 3.56 Nigeria Katsina 332 395 470 565 679 3.46 3.48 3.69 3.68 Nigeria Lafia 241 284 336 403 484 3.32 3.34 3.62 3.67 Nigeria Lagos 10,441 12,239 14,368 17,156 20,600 3.18 3.21 3.55 3.66 Nigeria Lokoja 322 473 692 931 1,141 7.71 7.60 5.93 4.07 Nigeria Maiduguri 674 727 786 899 1,071 1.50 1.58 2.66 3.51 Nigeria Makurdi 288 342 407 490 589 3.45 3.48 3.69 3.68 Nigeria Minna 331 385 448 532 639 3.01 3.04 3.46 3.64 Nigeria Nnewi 562 770 1,051 1,362 1,659 6.29 6.22 5.18 3.94 Nigeria Ogbomosho 350 439 551 683 825 4.55 4.54 4.27 3.78 Nigeria Okene 357 407 465 546 654 2.61 2.66 3.25 3.61 Nigeria Okpogho 267 343 440 551 667 5.01 4.98 4.51 3.83 Nigeria Ondo 329 377 432 510 611 2.71 2.75 3.30 3.62 Nigeria Onitsha 869 1,109 1,415 1,767 2,138 4.89 4.86 4.45 3.81 Nigeria Oshogbo 592 649 714 822 982 1.83 1.91 2.84 3.54 Nigeria Owerri 587 716 873 1,064 1,282 3.96 3.97 3.96 3.73 Nigeria Oyo 322 371 428 506 606 2.82 2.86 3.36 3.63 Nigeria Port Harcourt 1,816 2,344 3,020 3,794 4,595 5.10 5.07 4.56 3.83 Nigeria Potiskum 209 299 426 565 692 7.17 7.08 5.65 4.02 Nigeria Saki 228 293 376 472 571 5.02 5.00 4.52 3.83 Nigeria Sokoto 476 552 641 761 913 2.96 3.00 3.43 3.64 Nigeria Umuahia 434 580 774 990 1,204 5.81 5.76 4.94 3.90 Nigeria Uyo 631 848 1,136 1,457 1,771 5.90 5.84 4.98 3.91

337 Statistical Annex

Nigeria Warri 513 663 856 1,076 1,304 5.13 5.10 4.58 3.84 Nigeria Zaria 682 702 726 810 961 0.58 0.69 2.18 3.42 Norway Oslo 898 969 1,041 1,116 1,187 1.51 1.45 1.38 1.23 Oman Masqat (Muscat) 721 1,180 1,550 1,703 1,838 9.85 5.44 1.88 1.53 Oman Salahah (Salalah) 171 312 420 462 498 11.98 5.95 1.88 1.53 Pakistan Bahawalpur 609 720 845 970 1,101 3.34 3.20 2.77 2.53 Pakistan Dera Ghazikhan 306 373 451 526 599 3.95 3.78 3.09 2.58 Pakistan Faisalabad 2,703 3,068 3,462 3,893 4,401 2.54 2.42 2.34 2.45 Pakistan Gujranwala 1,647 1,923 2,229 2,544 2,883 3.09 2.96 2.64 2.50 Pakistan Gujrat 334 375 419 469 530 2.34 2.23 2.24 2.44 Pakistan Hyderabad 1,500 1,670 1,850 2,059 2,323 2.15 2.04 2.14 2.42 Pakistan Islamabad 804 957 1,129 1,301 1,477 3.47 3.32 2.83 2.54 Pakistan Jhang 366 401 438 483 544 1.83 1.73 1.97 2.39 Pakistan Karachi 12,612 14,289 16,094 18,077 20,432 2.50 2.38 2.32 2.45 Pakistan Kasur 312 346 382 424 478 2.07 1.97 2.10 2.41 Pakistan Lahore 8,432 10,369 12,642 14,826 16,883 4.14 3.96 3.19 2.60 Pakistan Larkana 395 461 534 609 691 3.08 2.95 2.63 2.50 Pakistan Mardan 313 347 381 423 477 2.01 1.91 2.07 2.41 Pakistan Multan 1,592 1,796 2,015 2,258 2,552 2.41 2.30 2.28 2.44 Pakistan Okara 292 340 393 448 507 3.03 2.90 2.61 2.50 Pakistan Peshawar 1,545 1,852 2,203 2,549 2,896 3.63 3.47 2.92 2.55 Pakistan Quetta 816 951 1,100 1,253 1,420 3.05 2.91 2.61 2.50 Pakistan Rahim Yar Khan 339 398 464 531 602 3.20 3.06 2.70 2.51 Pakistan Rawalpindi 1,822 2,024 2,237 2,487 2,805 2.10 2.00 2.12 2.41 Pakistan Sahiwal 312 368 431 495 562 3.31 3.17 2.75 2.52 Pakistan Sargodha 579 638 700 775 874 1.95 1.85 2.04 2.40 Pakistan Sheikhupura 389 450 517 587 665 2.91 2.78 2.54 2.49 Pakistan Sialkot 559 630 705 789 892 2.37 2.26 2.26 2.44 Pakistan Sukkur 431 482 534 596 672 2.19 2.09 2.16 2.42 Pakistan Wah 302 359 422 486 551 3.41 3.27 2.81 2.53 Panama Ciudad de Panamá (Panama City) 1,504 1,673 1,860 2,055 2,247 2.13 2.12 1.99 1.79 Papua New Guinea Port Moresby 312 345 383 432 504 2.04 2.06 2.43 3.09 Paraguay Asunción 2,587 2,967 3,337 3,627 3,920 2.75 2.34 1.67 1.55 Paraguay Ciudad del Este 264 294 322 345 372 2.18 1.80 1.38 1.50 Peru Arequipa 792 858 923 984 1,046 1.60 1.47 1.27 1.23 Peru Chiclayo 547 593 637 679 722 1.59 1.46 1.27 1.23 Peru Chimbote 346 368 389 411 436 1.23 1.11 1.08 1.20 Peru Cusco 372 420 471 513 547 2.42 2.26 1.71 1.31 Peru Huancayo 336 361 386 410 436 1.46 1.33 1.20 1.22 Peru Iquitos 391 430 470 505 537 1.91 1.77 1.44 1.26 Peru Lima 8,920 9,813 10,719 11,517 12,266 1.91 1.77 1.44 1.26 Peru Piura 397 435 474 509 542 1.85 1.71 1.41 1.25 Peru Tacna 258 288 320 347 371 2.26 2.11 1.62 1.29 Peru Trujillo 719 791 865 929 990 1.92 1.77 1.44 1.26 Philippines Angeles City 329 410 510 601 673 4.42 4.35 3.30 2.27 Philippines Antipolo 681 775 881 990 1,100 2.59 2.57 2.33 2.10 Philippines Bacolod 513 561 613 675 747 1.78 1.79 1.90 2.03 Philippines Bacoor 523 599 686 774 861 2.74 2.72 2.41 2.12

338 WORLD CITIES REPORT 2020

Philippines Baguio City 319 345 373 407 450 1.53 1.55 1.77 2.01 Philippines Basilan City (including City of 393 458 533 607 675 3.06 3.03 2.58 2.15 Isabela) Philippines Batangas City 306 329 355 387 427 1.45 1.47 1.73 2.00 Philippines Binan 285 332 387 440 490 3.07 3.04 2.59 2.15 Philippines Butuan 311 337 365 400 442 1.61 1.63 1.81 2.01 Philippines Cabuyao 250 308 377 442 494 4.14 4.08 3.15 2.25 Philippines Cagayan de Oro City 604 675 753 838 929 2.20 2.20 2.13 2.07 Philippines Calamba 391 453 525 595 662 2.94 2.92 2.52 2.14 Philippines Cebu City 868 922 980 1,062 1,172 1.20 1.23 1.60 1.98 Philippines Cotabato 273 299 328 361 400 1.84 1.85 1.94 2.04 Philippines Dasmarinas 578 658 747 839 932 2.57 2.56 2.32 2.10 Philippines Davao City 1,455 1,630 1,825 2,034 2,256 2.27 2.27 2.16 2.07 Philippines General Santos City 540 593 653 720 797 1.90 1.90 1.97 2.04 Philippines General Trias 245 313 398 475 533 4.87 4.79 3.54 2.31 Philippines Iligan 323 342 363 392 433 1.13 1.16 1.56 1.97 Philippines Iloilo City 425 448 472 509 561 1.02 1.05 1.50 1.96 Philippines Imus 304 402 528 641 722 5.55 5.45 3.90 2.37 Philippines Lapu-Lapu City 352 407 470 532 592 2.90 2.88 2.49 2.13 Philippines Lipa City 285 332 385 438 488 3.03 3.00 2.56 2.14 Philippines Mandaue City 332 362 395 434 480 1.72 1.73 1.87 2.02 Philippines Manila 11,887 12,860 13,923 15,231 16,841 1.57 1.59 1.79 2.01 Philippines San Fernando 287 306 328 356 394 1.33 1.36 1.67 1.99 Philippines San Jose del Monte 461 574 608 657 725 4.35 1.16 1.56 1.97 Philippines San Pedro 295 325 358 396 438 1.94 1.94 1.99 2.04 Philippines Santa Rosa 287 353 432 506 566 4.14 4.08 3.15 2.25 Philippines Tarlac 319 342 367 400 442 1.39 1.41 1.70 1.99 Philippines Zamboanga City 809 861 917 995 1,099 1.25 1.27 1.62 1.98 Poland Bydgoszcz 365 357 348 339 330 - 0.45 - 0.52 - 0.51 - 0.51 Poland Gdańsk 461 463 465 466 465 0.09 0.12 0.00 - 0.01 Poland Kraków (Cracow) 759 763 769 769 769 0.12 0.14 0.02 - 0.00 Poland Łódź 735 705 677 650 625 - 0.83 - 0.81 - 0.81 - 0.80 Poland Lublin 350 343 335 327 319 - 0.40 - 0.48 - 0.47 - 0.47 Poland Poznań 557 544 531 518 506 - 0.48 - 0.49 - 0.49 - 0.48 Poland Szczecin 410 406 401 397 392 - 0.21 - 0.24 - 0.24 - 0.23 Poland Warszawa (Warsaw) 1,703 1,740 1,783 1,800 1,800 0.44 0.49 0.19 - 0.00 Poland Wrocław 633 636 641 642 642 0.10 0.18 0.03 - 0.02 Portugal Lisboa (Lisbon) 2,812 2,883 2,957 3,028 3,085 0.50 0.50 0.48 0.37 Portugal Porto 1,285 1,299 1,313 1,334 1,357 0.21 0.22 0.32 0.34 Puerto Rico Aguadilla-Isabela-San Sebastian 306 303 300 297 294 - 0.20 - 0.20 - 0.20 - 0.20 Puerto Rico San Juan 2,478 2,463 2,448 2,434 2,419 - 0.12 - 0.12 - 0.12 - 0.12 Qatar Ad-Dawhah (Doha) 524 590 641 673 716 2.38 1.68 0.97 1.22 Qatar Ar-Rayyan 399 595 738 832 895 8.00 4.29 2.39 1.47 Qatar Doha Industrial Area 265 367 419 451 482 6.56 2.63 1.49 1.31 Republic of Korea Ansan 725 746 761 771 783 0.55 0.40 0.27 0.30 Republic of Korea Anyang 603 586 568 560 565 - 0.55 - 0.64 - 0.29 0.20 Republic of Korea Bucheon 852 844 832 828 837 - 0.17 - 0.29 - 0.11 0.23 Republic of Korea Busan 3,422 3,446 3,465 3,484 3,532 0.14 0.11 0.11 0.27 Republic of Korea Changwon 1,060 1,059 1,056 1,057 1,070 - 0.01 - 0.06 0.02 0.25

339 Statistical Annex

Republic of Korea Cheonan 571 625 680 713 728 1.82 1.67 0.96 0.42 Republic of Korea Cheongju 665 692 717 733 745 0.80 0.70 0.43 0.33 Republic of Korea Daegu 2,279 2,243 2,199 2,181 2,205 - 0.32 - 0.40 - 0.16 0.22 Republic of Korea Daejon 1,498 1,536 1,566 1,586 1,610 0.51 0.38 0.26 0.30 Republic of Korea Gimhae 296 306 314 320 325 0.65 0.55 0.35 0.31 Republic of Korea Goyang 902 984 1,069 1,121 1,145 1.73 1.66 0.95 0.42 Republic of Korea Gumi 339 363 387 401 409 1.38 1.26 0.74 0.38 Republic of Korea Gwangju 1,471 1,501 1,522 1,537 1,559 0.40 0.27 0.20 0.29 Republic of Korea Gwangmyeong 328 338 346 351 357 0.57 0.47 0.31 0.30 Republic of Korea Incheon 2,559 2,685 2,801 2,874 2,923 0.96 0.85 0.51 0.34 Republic of Korea Jeju 321 333 343 350 355 0.71 0.61 0.38 0.32 Republic of Korea Jeonju 648 658 663 668 677 0.30 0.17 0.14 0.28 Republic of Korea Pohang 332 346 359 367 374 0.85 0.74 0.45 0.33 Republic of Korea Seongnam 949 949 944 943 955 - 0.00 - 0.11 - 0.01 0.25 Republic of Korea Seoul 9,796 9,897 9,963 10,026 10,163 0.20 0.13 0.12 0.27 Republic of Korea Siheung 406 424 440 451 458 0.87 0.76 0.47 0.33 Republic of Korea Suweon 1,070 1,186 1,311 1,389 1,420 2.05 2.02 1.15 0.45 Republic of Korea Uijeongbu 416 421 424 426 432 0.25 0.11 0.11 0.27 Republic of Korea Ulsan 893 904 910 916 929 0.23 0.14 0.13 0.27 Republic of Korea Yongin 844 963 1,083 1,158 1,186 2.63 2.35 1.33 0.48 Republic of Moldova Chişinău 555 526 499 484 486 - 1.06 - 1.06 - 0.60 0.07 Romania Bucuresti (Bucharest) 1,889 1,849 1,803 1,759 1,741 - 0.43 - 0.50 - 0.50 - 0.20 Romania Cluj-Napoca 302 305 308 308 309 0.21 0.19 0.03 0.03 Romania Iasi 319 318 317 316 316 - 0.06 - 0.06 - 0.06 0.00 Romania Timisoara 306 307 307 306 307 0.02 0.01 - 0.02 0.02 Russian Federation Arkhangelsk 349 351 350 348 348 0.12 - 0.04 - 0.14 0.01 Russian Federation Astrakhan 520 530 535 535 536 0.37 0.20 - 0.01 0.04 Russian Federation Balashikha 343 423 515 569 580 4.20 3.92 2.01 0.39 Russian Federation Barnaul 612 628 640 642 644 0.52 0.37 0.08 0.05 Russian Federation Belgorod 356 382 408 420 423 1.45 1.29 0.59 0.14 Russian Federation Bryansk 416 409 399 391 390 - 0.36 - 0.50 - 0.39 - 0.03 Russian Federation Cheboksary 453 481 506 517 520 1.17 1.03 0.44 0.11 Russian Federation Chelyabinsk 1,128 1,182 1,228 1,246 1,252 0.93 0.76 0.30 0.09 Russian Federation Cherepovets 312 317 320 320 320 0.32 0.17 - 0.03 0.03 Russian Federation Chita 324 341 357 364 366 1.04 0.89 0.37 0.10 Russian Federation Irkutsk 588 615 639 648 651 0.89 0.77 0.30 0.09 Russian Federation Ivanovo 409 407 403 398 398 - 0.09 - 0.21 - 0.23 - 0.00 Russian Federation Izhevsk 628 642 651 653 654 0.44 0.30 0.04 0.04 Russian Federation Kaliningrad, Kaliningrad Oblast 432 458 484 495 498 1.20 1.07 0.46 0.12 Russian Federation Kaluga 325 338 349 353 354 0.76 0.65 0.23 0.08 Russian Federation Kazan 1,142 1,210 1,272 1,300 1,307 1.15 1.00 0.43 0.11 Russian Federation Kemerovo 533 551 566 571 572 0.67 0.53 0.17 0.07 Russian Federation Khabarovsk 578 607 633 644 647 0.98 0.86 0.35 0.10 Russian Federation Kirov 473 495 513 520 522 0.89 0.73 0.28 0.09 Russian Federation Krasnodar 741 846 957 1,018 1,030 2.65 2.46 1.22 0.25 Russian Federation Krasnoyarsk 972 1,055 1,137 1,178 1,187 1.66 1.50 0.70 0.16 Russian Federation Kurgan 334 325 314 306 305 - 0.56 - 0.71 - 0.50 - 0.05 Russian Federation Kursk 415 441 465 476 478 1.19 1.07 0.46 0.12

340 WORLD CITIES REPORT 2020

Russian Federation Lipetsk 509 510 507 503 503 0.05 - 0.11 - 0.18 0.01 Russian Federation Magnitogorsk 408 416 421 421 422 0.36 0.24 0.01 0.04 Russian Federation Makhachkala 568 588 600 603 604 0.69 0.40 0.10 0.05 Russian Federation Moskva (Moscow) 11,461 12,049 12,538 12,737 12,796 1.00 0.80 0.32 0.09 Russian Federation Naberezhnye Tchelny 513 526 535 537 538 0.49 0.34 0.07 0.05 Russian Federation Nizhniy Novgorod 1,253 1,259 1,258 1,250 1,251 0.10 - 0.02 - 0.13 0.01 Russian Federation Nizhny Tagil 363 357 350 344 343 - 0.31 - 0.42 - 0.35 - 0.02 Russian Federation Novokuznetsk 548 551 551 547 547 0.12 - 0.03 - 0.13 0.01 Russian Federation Novosibirsk 1,472 1,571 1,664 1,707 1,717 1.30 1.15 0.51 0.13 Russian Federation Omsk 1,153 1,172 1,182 1,181 1,183 0.33 0.17 - 0.03 0.03 Russian Federation Orel 318 318 317 314 314 0.01 - 0.11 - 0.18 0.01 Russian Federation Orenburg 548 561 569 570 571 0.44 0.29 0.04 0.04 Russian Federation Penza 517 522 523 521 521 0.19 0.04 - 0.10 0.02 Russian Federation Perm 991 1,034 1,071 1,086 1,091 0.84 0.71 0.27 0.08 Russian Federation Podolsk 255 288 324 344 348 2.47 2.36 1.16 0.24 Russian Federation Rostov-na-Donu (Rostov-on-Don) 1,089 1,116 1,136 1,140 1,143 0.51 0.35 0.07 0.05 Russian Federation Ryazan 525 535 540 540 541 0.37 0.22 0.00 0.04 Russian Federation Samara 1,164 1,168 1,163 1,154 1,154 0.07 - 0.09 - 0.17 0.01 Russian Federation Sankt Peterburg (Saint Petersburg) 4,872 5,181 5,468 5,597 5,630 1.23 1.08 0.47 0.12 Russian Federation Saransk 298 310 322 327 328 0.84 0.73 0.28 0.09 Russian Federation Saratov 839 844 843 837 838 0.10 - 0.02 - 0.13 0.01 Russian Federation Smolensk 327 329 329 327 327 0.14 - 0.01 - 0.12 0.02 Russian Federation Sochi 343 394 450 481 488 2.78 2.67 1.33 0.27 Russian Federation Stavropol 397 425 450 462 465 1.36 1.16 0.51 0.13 Russian Federation Surgut 306 347 390 414 419 2.51 2.37 1.17 0.24 Russian Federation Tolyatti 719 713 700 690 689 - 0.17 - 0.35 - 0.31 - 0.02 Russian Federation Tomsk 523 561 596 612 616 1.38 1.21 0.54 0.13 Russian Federation Tula 500 489 473 462 461 - 0.45 - 0.66 - 0.48 - 0.05 Russian Federation Tver 404 415 425 427 429 0.57 0.44 0.12 0.06 Russian Federation Tyumen 579 701 843 927 944 3.83 3.68 1.88 0.36 Russian Federation Ufa 1,062 1,102 1,136 1,148 1,153 0.75 0.60 0.21 0.07 Russian Federation Ulan-Ude 403 425 444 452 454 1.08 0.87 0.35 0.10 Russian Federation Ulyanovsk 616 622 625 623 624 0.21 0.09 - 0.07 0.02 Russian Federation Vladikavkaz 312 308 302 297 297 - 0.24 - 0.39 - 0.33 - 0.02 Russian Federation Vladimir 344 354 359 360 361 0.53 0.32 0.06 0.05 Russian Federation Vladivostok 592 603 610 610 611 0.37 0.22 0.00 0.04 Russian Federation Volgograd 1,021 1,017 1,005 992 992 - 0.08 - 0.24 - 0.25 - 0.01 Russian Federation Vologda 301 310 317 318 319 0.58 0.41 0.11 0.06 Russian Federation Volzhsky 314 323 330 332 333 0.57 0.42 0.11 0.06 Russian Federation Voronezh 974 1,024 1,068 1,086 1,091 1.01 0.84 0.34 0.10 Russian Federation Yakutsk 267 298 328 344 347 2.20 1.91 0.92 0.20 Russian Federation Yaroslavl 592 604 612 613 615 0.39 0.27 0.03 0.04 Russian Federation Yekaterinburg 1,348 1,429 1,504 1,537 1,546 1.17 1.02 0.44 0.11 Rwanda Kigali 797 951 1,132 1,330 1,568 3.54 3.48 3.22 3.30 Saudi Arabia Ad-Dammam 909 1,080 1,253 1,376 1,478 3.45 2.97 1.87 1.44 Saudi Arabia Al-Madinah (Medina) 1,106 1,299 1,489 1,625 1,744 3.21 2.73 1.75 1.41 Saudi Arabia Ar-Riyadh (Riyadh) 5,220 6,218 7,231 7,953 8,547 3.50 3.02 1.90 1.44 Saudi Arabia Buraydah 471 568 669 741 797 3.76 3.27 2.04 1.46

341 Statistical Annex

Saudi Arabia Hafar al-Batin 273 314 353 382 409 2.81 2.35 1.54 1.38 Saudi Arabia Ha’il 312 358 400 431 462 2.71 2.25 1.49 1.37 Saudi Arabia Hufuf-Mubarraz 664 754 837 897 960 2.54 2.09 1.40 1.35 Saudi Arabia Jiddah 3,450 4,035 4,610 5,022 5,388 3.13 2.67 1.71 1.41 Saudi Arabia Jubayl 341 461 606 712 774 6.01 5.46 3.23 1.67 Saudi Arabia Khamis Mushayt 433 492 548 588 629 2.58 2.13 1.42 1.36 Saudi Arabia Khubar 221 273 329 369 398 4.22 3.72 2.28 1.51 Saudi Arabia Makkah (Mecca) 1,543 1,796 2,042 2,219 2,379 3.04 2.57 1.66 1.40 Saudi Arabia Najran 300 355 410 450 483 3.37 2.89 1.83 1.43 Saudi Arabia Tabuk 515 588 657 707 757 2.67 2.21 1.46 1.36 Saudi Arabia Taif 582 640 689 726 775 1.90 1.47 1.06 1.29 Saudi Arabia Thuqbah 240 290 344 381 410 3.85 3.35 2.08 1.47 Saudi Arabia Yanbu’ al-Bahr 235 284 335 371 400 3.80 3.31 2.06 1.47 Senegal Dakar 2,427 2,758 3,140 3,659 4,339 2.56 2.60 3.05 3.41 Senegal Rufisque 240 289 347 417 497 3.68 3.68 3.64 3.51 Senegal Thies 291 331 377 440 521 2.57 2.60 3.06 3.41 Serbia Beograd (Belgrade) 1,336 1,369 1,398 1,413 1,423 0.49 0.41 0.21 0.13 Sierra Leone Freetown 905 1,043 1,202 1,387 1,605 2.84 2.83 2.87 2.92 Singapore Singapore 5,074 5,535 5,935 6,157 6,342 1.74 1.39 0.74 0.59 Slovakia Bratislava 414 422 435 444 450 0.40 0.61 0.40 0.29 Somalia Berbera 306 393 499 620 762 5.02 4.79 4.34 4.10 Somalia Hargeysa 607 779 989 1,228 1,507 4.99 4.77 4.33 4.10 Somalia Kismaayo 296 375 471 581 713 4.75 4.54 4.20 4.08 Somalia Merca 408 524 666 828 1,017 5.02 4.80 4.34 4.11 Somalia Muqdisho (Mogadishu) 1,353 1,783 2,282 2,846 3,497 5.51 4.94 4.42 4.12 South Africa Bloemfontein 451 508 567 619 668 2.40 2.20 1.75 1.52 South Africa Cape Town 3,604 4,100 4,618 5,064 5,468 2.58 2.38 1.84 1.54 South Africa Durban (Ethekwini) 2,949 3,063 3,158 3,301 3,535 0.76 0.61 0.88 1.37 South Africa East London (Buffalo City) 611 661 709 757 813 1.57 1.39 1.31 1.44 South Africa Ekurhuleni 3,062 3,470 3,894 4,262 4,601 2.51 2.30 1.81 1.53 South Africa Johannesburg 4,249 4,985 5,783 6,445 6,978 3.19 2.97 2.17 1.59 South Africa Pietermaritzburg (The Msunduzi) 460 494 527 561 603 1.45 1.28 1.25 1.43 South Africa Polokwane 244 325 426 507 555 5.72 5.42 3.50 1.82 South Africa Port Elizabeth (Nelson Mandela Bay) 1,106 1,182 1,254 1,331 1,429 1.34 1.17 1.19 1.42 South Africa Pretoria 1,666 2,081 2,566 2,955 3,219 4.45 4.19 2.83 1.71 South Africa Rustenburg 290 387 509 608 666 5.79 5.49 3.54 1.83 South Africa Soshanguve 710 782 853 920 990 1.92 1.74 1.50 1.48 South Africa Vereeniging 710 744 774 813 871 0.94 0.79 0.98 1.39 South Africa West Rand 764 832 898 962 1,034 1.70 1.52 1.38 1.45 South Africa Witbank 294 368 454 524 570 4.47 4.21 2.84 1.71 South Sudan Juba 255 321 403 500 617 4.63 4.55 4.31 4.20 Spain Alicante 323 347 370 381 386 1.46 1.25 0.58 0.28 Spain Barcelona 4,934 5,277 5,586 5,733 5,812 1.35 1.14 0.52 0.27 Spain Bilbao 351 352 350 347 349 0.04 - 0.13 - 0.17 0.15 Spain Cordoba 326 336 344 346 350 0.64 0.45 0.15 0.21 Spain Las Palmas Gran Canaria 378 391 402 406 410 0.72 0.53 0.19 0.22 Spain Madrid 5,787 6,221 6,618 6,811 6,907 1.45 1.23 0.58 0.28 Spain Malaga 556 576 590 595 601 0.68 0.49 0.17 0.21

342 WORLD CITIES REPORT 2020

Spain Murcia 428 465 500 517 525 1.66 1.44 0.69 0.30 Spain Palma 392 430 467 486 494 1.86 1.63 0.79 0.32 Spain Sevilla 696 703 704 701 707 0.19 0.02 - 0.08 0.17 Spain Valencia 785 813 834 841 850 0.70 0.51 0.18 0.21 Spain Valladolid 312 310 305 301 303 - 0.16 - 0.32 - 0.27 0.14 Spain Vigo 294 301 307 308 311 0.54 0.35 0.10 0.20 Spain Zaragoza 669 703 731 743 752 0.98 0.78 0.33 0.24 Sri Lanka Colombo 574 581 613 648 695 0.23 1.05 1.11 1.42 State of Palestine Gaza (incl. Ash Shati Camp) 535 618 714 823 942 2.88 2.88 2.86 2.68 Sudan Al Gadarif 283 318 357 410 487 2.29 2.32 2.81 3.42 Sudan Al Obeid (Al Ubayyid) 366 420 481 560 666 2.72 2.74 3.04 3.46 Sudan Al-Khartum (Khartoum) 4,517 5,128 5,829 6,754 8,023 2.54 2.56 2.95 3.44 Sudan Kassala 309 335 364 412 487 1.61 1.66 2.46 3.36 Sudan Nyala 552 715 923 1,146 1,377 5.16 5.10 4.33 3.68 Sudan Port Sudan (Bur Sudan) 409 444 484 547 647 1.65 1.70 2.48 3.36 Sudan Wad Medani 303 337 374 429 508 2.10 2.13 2.71 3.40 Sweden Göteborg 546 570 611 644 671 0.88 1.36 1.07 0.82 Sweden Malmö 278 300 322 340 354 1.55 1.41 1.05 0.82 Sweden Stockholm 1,360 1,495 1,633 1,738 1,814 1.90 1.76 1.25 0.85 Switzerland Basel 518 539 559 579 602 0.80 0.74 0.69 0.77 Switzerland Bern 387 409 430 448 466 1.08 1.01 0.84 0.80 Switzerland Genève 537 575 613 645 672 1.37 1.28 0.99 0.82 Switzerland Lausanne 370 406 442 470 491 1.81 1.72 1.23 0.87 Switzerland Zürich (Zurich) 1,257 1,327 1,395 1,455 1,514 1.08 1.00 0.84 0.80 Syrian Arab Republic Al-Hasakah 392 363 391 458 554 - 1.54 1.47 3.15 3.81 Syrian Arab Republic Al-Raqqa 523 485 522 610 738 - 1.54 1.47 3.15 3.81 Syrian Arab Republic Deir El-Zor(Deir ez-Zor) 325 301 323 379 458 - 1.54 1.47 3.15 3.81 Syrian Arab Republic Dimashq (Damascus) 2,401 2,223 2,392 2,800 3,387 - 1.54 1.47 3.15 3.81 Syrian Arab Republic Halab (Aleppo) 3,078 979 1,917 2,438 2,993 - 22.90 13.43 4.81 4.09 Syrian Arab Republic Hamah 925 856 922 1,079 1,305 - 1.54 1.47 3.15 3.81 Syrian Arab Republic Hims (Homs) 1,341 1,241 1,336 1,564 1,891 - 1.54 1.47 3.15 3.81 Syrian Arab Republic Lattakia 658 609 656 768 928 - 1.54 1.47 3.15 3.81 Syrian Arab Republic Tartus 426 394 424 496 601 - 1.54 1.47 3.15 3.81 Tajikistan Dushanbe 721 812 916 1,040 1,195 2.39 2.40 2.54 2.78 TFYR Macedonia Skopje 521 560 595 621 644 1.43 1.23 0.84 0.72 Thailand Buri Ram 372 415 454 484 513 2.18 1.78 1.28 1.16 Thailand Chanthaburi 241 297 360 406 435 4.17 3.83 2.40 1.35 Thailand Chiang Mai 953 1,068 1,167 1,244 1,318 2.27 1.78 1.28 1.16 Thailand Chiang Rai 450 503 550 586 621 2.25 1.78 1.28 1.16 Thailand Chon Buri 1,146 1,280 1,399 1,491 1,580 2.21 1.78 1.28 1.16 Thailand Kalasin 423 474 518 552 585 2.25 1.78 1.28 1.16 Thailand Khon-Kaen 412 460 503 536 568 2.17 1.78 1.28 1.16 Thailand Krung Thep (Bangkok) 8,269 9,403 10,539 11,392 12,101 2.57 2.28 1.56 1.21 Thailand Lampang 369 411 449 479 508 2.14 1.78 1.28 1.16 Thailand Lamphun 259 290 317 338 358 2.30 1.78 1.28 1.16 Thailand Lop Buri 233 323 437 524 567 6.49 6.08 3.62 1.57 Thailand Nakhon Pathom 337 416 503 567 607 4.17 3.83 2.40 1.35 Thailand Nakhon Ratchasima 651 715 774 821 869 1.86 1.60 1.18 1.14

343 Statistical Annex

Thailand Nonthaburi 793 881 963 1,026 1,088 2.11 1.78 1.28 1.16 Thailand Pathum Thani 746 836 914 974 1,032 2.26 1.78 1.28 1.16 Thailand Phra Nakhon Si Ayutthaya 363 404 441 470 499 2.12 1.78 1.28 1.16 Thailand Phuket 350 395 432 461 488 2.43 1.78 1.28 1.16 Thailand Ratchaburi 316 361 406 439 466 2.62 2.34 1.58 1.21 Thailand Rayong 440 492 538 574 608 2.23 1.78 1.28 1.16 Thailand Roi Et 360 403 441 470 498 2.26 1.78 1.28 1.16 Thailand Sakon Nakhon 312 349 381 406 431 2.23 1.78 1.28 1.16 Thailand Samut Prakan 1,074 1,196 1,307 1,393 1,477 2.15 1.78 1.28 1.16 Thailand Samut Sakhon 472 529 578 617 653 2.27 1.78 1.28 1.16 Thailand Songkhla 792 884 967 1,031 1,092 2.20 1.78 1.28 1.16 Thailand Suphan Buri 227 279 338 380 407 4.14 3.81 2.38 1.35 Thailand Surat Thani 408 454 496 529 560 2.12 1.78 1.28 1.16 Thailand Ubon Ratchathani 409 454 495 528 559 2.08 1.74 1.26 1.16 Thailand Udon Thani 482 527 570 604 640 1.82 1.56 1.16 1.14 Togo Lomé 1,466 1,635 1,828 2,109 2,496 2.18 2.23 2.86 3.37 Trinidad and Tobago Port of Spain 546 545 544 547 553 - 0.04 - 0.03 0.09 0.25 Tunisia Safaqis 576 602 630 665 704 0.89 0.91 1.09 1.14 Tunisia Tunis 2,014 2,183 2,365 2,545 2,703 1.61 1.60 1.47 1.20 Turkey Adana 1,535 1,673 1,771 1,877 1,976 1.72 1.14 1.16 1.03 Turkey Ankara 4,166 4,633 5,118 5,550 5,869 2.13 1.99 1.62 1.11 Turkey Antalya 906 1,084 1,254 1,395 1,481 3.59 2.91 2.13 1.20 Turkey Balikesir 258 277 319 354 376 1.36 2.86 2.10 1.20 Turkey Batman 326 387 437 480 509 3.43 2.45 1.88 1.16 Turkey Bursa 1,625 1,816 1,986 2,143 2,263 2.23 1.79 1.52 1.10 Turkey Denizli 471 565 645 712 755 3.63 2.65 1.98 1.18 Turkey Diyarbakir 821 940 1,039 1,128 1,193 2.69 2.02 1.64 1.12 Turkey Elazig 330 356 408 452 479 1.53 2.73 2.03 1.18 Turkey Erzurum 379 390 431 468 495 0.56 2.00 1.63 1.12 Turkey Eskisehir 623 694 784 861 912 2.14 2.44 1.87 1.16 Turkey Gaziantep 1,298 1,527 1,704 1,859 1,967 3.25 2.19 1.74 1.13 Turkey Gebze 492 618 745 847 903 4.56 3.73 2.57 1.28 Turkey Istanbul 12,585 14,127 15,190 16,237 17,124 2.31 1.45 1.33 1.06 Turkey Izmir 2,703 2,860 2,993 3,152 3,316 1.13 0.91 1.04 1.01 Turkey Izmit 299 314 347 376 398 0.98 1.99 1.63 1.12 Turkey Kahramanmaras 413 482 547 602 638 3.07 2.52 1.92 1.17 Turkey Kayseri 795 911 974 1,037 1,093 2.72 1.33 1.27 1.05 Turkey Konya 1,022 1,188 1,328 1,450 1,535 3.01 2.23 1.76 1.14 Turkey Malatya 425 458 496 532 562 1.46 1.61 1.42 1.08 Turkey Manisa 293 336 381 419 444 2.74 2.50 1.90 1.16 Turkey Mersin 807 924 1,016 1,099 1,162 2.71 1.89 1.57 1.11 Turkey Sakarya 410 469 539 598 635 2.68 2.81 2.07 1.19 Turkey Samsun 480 550 643 719 764 2.73 3.11 2.24 1.22 Turkey Sanliurfa 496 564 591 622 655 2.59 0.92 1.04 1.01 Turkey Sivas 302 324 366 402 426 1.37 2.46 1.88 1.16 Turkey Van 364 429 511 578 616 3.27 3.53 2.46 1.26 Turkmenistan Ashgabat 668 753 846 941 1,041 2.42 2.32 2.13 2.02 Uganda Kampala 2,016 2,577 3,298 4,265 5,506 4.91 4.94 5.14 5.11

344 WORLD CITIES REPORT 2020

Ukraine Dnipro 1,010 984 957 931 907 - 0.51 - 0.55 - 0.55 - 0.53 Ukraine Donetsk 966 936 906 876 849 - 0.62 - 0.66 - 0.66 - 0.64 Ukraine Kharkiv 1,453 1,442 1,429 1,416 1,404 - 0.15 - 0.18 - 0.19 - 0.16 Ukraine Kryvyi Rih 668 643 619 595 573 - 0.75 - 0.79 - 0.79 - 0.76 Ukraine Kyiv (Kiev) 2,795 2,895 2,988 3,018 3,004 0.70 0.63 0.20 - 0.10 Ukraine Luhansk 434 418 402 386 371 - 0.76 - 0.80 - 0.80 - 0.77 Ukraine Lviv 733 729 724 718 714 - 0.11 - 0.15 - 0.15 - 0.13 Ukraine Makiivka 363 351 339 327 316 - 0.66 - 0.70 - 0.70 - 0.68 Ukraine Mariupol 467 454 440 426 413 - 0.59 - 0.63 - 0.63 - 0.61 Ukraine Mykolaiv 501 493 485 476 469 - 0.30 - 0.34 - 0.34 - 0.32 Ukraine Odesa 1,009 1,010 1,009 1,007 1,005 0.03 - 0.02 - 0.05 - 0.03 Ukraine Sevastopol 359 377 395 402 401 0.98 0.90 0.35 - 0.04 Ukraine Simferopol 341 341 340 340 339 - 0.01 - 0.05 - 0.05 - 0.03 Ukraine Vinnitsa 366 371 375 375 374 0.28 0.23 - 0.01 - 0.07 Ukraine Zaporizhzhya 776 756 736 716 698 - 0.51 - 0.54 - 0.54 - 0.52 United Arab Emirates Abu Zaby (Abu Dhabi) 912 1,203 1,483 1,619 1,739 5.53 4.19 1.75 1.43 United Arab Emirates Ajman 250 324 392 424 455 5.16 3.83 1.56 1.40 United Arab Emirates Al-Ain 377 496 611 666 716 5.50 4.16 1.74 1.43 United Arab Emirates Ash-Shariqah (Sharjah) 900 1,275 1,685 1,910 2,065 6.96 5.58 2.51 1.56 United Arab Emirates Dubayy (Dubai) 1,875 2,401 2,878 3,095 3,315 4.95 3.63 1.45 1.38 United Kingdom Belfast 596 612 631 652 675 0.54 0.59 0.67 0.69 United Kingdom Birkenhead 325 327 329 336 347 0.12 0.14 0.42 0.65 United Kingdom Birmingham (West Midlands) 2,429 2,516 2,607 2,705 2,802 0.70 0.71 0.73 0.70 United Kingdom Bournemouth/Poole 463 484 506 527 546 0.87 0.88 0.82 0.72 United Kingdom Brighton-Worthing-Littlehampton 556 581 607 632 656 0.87 0.89 0.83 0.72 United Kingdom Bristol 612 648 686 720 747 1.15 1.14 0.96 0.74 United Kingdom Cardiff 444 461 478 495 513 0.76 0.71 0.73 0.70 United Kingdom Coventry-Bedworth 358 389 426 455 473 1.64 1.79 1.32 0.81 United Kingdom Edinburgh 480 507 537 564 585 1.08 1.16 0.97 0.75 United Kingdom Glasgow 1,617 1,644 1,673 1,719 1,778 0.33 0.36 0.54 0.67 United Kingdom Kingston upon Hull 313 317 321 329 340 0.25 0.24 0.47 0.66 United Kingdom Leicester 504 528 552 575 596 0.93 0.88 0.82 0.72 United Kingdom Liverpool 863 881 902 929 961 0.41 0.47 0.60 0.68 United Kingdom London 8,044 8,661 9,304 9,841 10,228 1.48 1.43 1.12 0.77 United Kingdom Manchester 2,538 2,633 2,730 2,833 2,934 0.74 0.72 0.74 0.71 United Kingdom Newcastle upon Tyne 772 790 809 834 863 0.46 0.48 0.60 0.68 United Kingdom Newport 306 311 316 325 336 0.35 0.34 0.53 0.67 United Kingdom Nottingham 726 756 788 819 849 0.81 0.82 0.79 0.71 United Kingdom Preston 312 320 328 338 350 0.52 0.50 0.62 0.68 United Kingdom Reading-Wokingham 317 329 342 356 368 0.74 0.79 0.77 0.71 United Kingdom Sheffield 682 706 730 757 784 0.68 0.69 0.72 0.70 United Kingdom Southampton/Portsmouth (South 851 888 928 967 1,002 0.85 0.88 0.82 0.72 Hampshire) United Kingdom Southend-On-Sea 294 303 312 323 334 0.62 0.61 0.67 0.69 United Kingdom Stoke-on-Trent (The Potteries) 372 379 386 397 410 0.36 0.38 0.55 0.67 United Kingdom Sunderland 336 338 341 349 361 0.14 0.20 0.45 0.66 United Kingdom Swansea 299 305 311 320 331 0.41 0.40 0.56 0.67 United Kingdom Teeside (Middlesbrough) 376 381 387 398 411 0.30 0.32 0.52 0.67 United Kingdom West Yorkshire 1,768 1,828 1,889 1,956 2,026 0.66 0.66 0.70 0.70

345 Statistical Annex

United Republic of Tanzania Arusha 397 443 493 576 715 2.20 2.12 3.11 4.31 United Republic of Tanzania Dar es Salaam 3,870 5,116 6,702 8,562 10,789 5.58 5.40 4.90 4.62 United Republic of Tanzania Mbeya 346 444 566 712 895 5.01 4.85 4.60 4.57 United Republic of Tanzania Morogoro 282 341 409 498 622 3.78 3.65 3.95 4.46 United Republic of Tanzania Mwanza 621 838 1,120 1,447 1,827 6.00 5.81 5.12 4.66 United Republic of Tanzania Songea 174 249 353 470 597 7.17 6.94 5.74 4.77 United Republic of Tanzania Zanzibar 456 569 705 874 1,096 4.44 4.29 4.30 4.52 United States of America Akron 569 569 565 571 594 - 0.01 - 0.14 0.20 0.79 United States of America Albany 596 615 630 647 675 0.62 0.48 0.54 0.85 United States of America Albuquerque 745 830 915 978 1,028 2.15 1.95 1.34 0.99 United States of America Allentown-Bethlehem 667 716 763 800 838 1.42 1.25 0.96 0.92 United States of America Ann Arbor 307 318 328 338 353 0.75 0.60 0.60 0.86 United States of America Antioch 279 316 353 380 400 2.44 2.23 1.49 1.02 United States of America Asheville 282 318 354 381 400 2.36 2.16 1.46 1.01 United States of America Atlanta 4,544 5,162 5,803 6,272 6,602 2.55 2.34 1.55 1.03 United States of America Augusta-Richmond County 388 417 444 465 487 1.42 1.25 0.96 0.92 United States of America Austin 1,377 1,692 2,053 2,313 2,453 4.13 3.87 2.39 1.17 United States of America Bakersfield 528 607 691 751 792 2.80 2.58 1.68 1.05 United States of America Baltimore 2,207 2,274 2,325 2,387 2,490 0.60 0.45 0.52 0.85 United States of America Baton Rouge 598 666 734 785 825 2.16 1.96 1.35 0.99 United States of America Birmingham 752 799 842 879 919 1.22 1.05 0.85 0.91 United States of America Boise City 352 399 447 482 507 2.49 2.29 1.52 1.02 United States of America Bonita Springs-Naples 313 371 434 479 507 3.38 3.15 1.99 1.10 United States of America Boston 4,185 4,261 4,309 4,396 4,581 0.36 0.22 0.40 0.83 United States of America Bridgeport-Stamford 924 942 953 973 1,014 0.38 0.24 0.41 0.83 United States of America Buffalo 935 915 891 890 924 - 0.43 - 0.54 - 0.02 0.75 United States of America Cape Coral 537 681 851 975 1,037 4.75 4.48 2.72 1.23 United States of America Charleston-North Charleston 552 628 708 765 806 2.59 2.38 1.57 1.03 United States of America Charlotte 1,265 1,623 2,054 2,367 2,520 4.99 4.71 2.84 1.25 United States of America Chattanooga 382 402 421 437 457 1.04 0.88 0.76 0.89 United States of America Chicago 8,616 8,770 8,865 9,042 9,424 0.36 0.22 0.40 0.83 United States of America Cincinnati 1,628 1,693 1,746 1,801 1,881 0.78 0.62 0.62 0.87 United States of America Cleveland 1,781 1,778 1,763 1,780 1,852 - 0.03 - 0.16 0.19 0.79 United States of America Colorado Springs 562 616 668 709 743 1.82 1.64 1.17 0.96 United States of America Columbia, South Carolina 553 633 716 777 818 2.68 2.47 1.62 1.04 United States of America Columbus, Ohio 1,374 1,510 1,644 1,746 1,832 1.88 1.70 1.20 0.97 United States of America Concord 618 652 683 710 743 1.09 0.92 0.78 0.89 United States of America Concord 218 298 401 478 512 6.25 5.93 3.51 1.37 United States of America Corpus Christi 321 335 347 358 374 0.85 0.70 0.66 0.87 United States of America Dallas-Fort Worth 5,149 5,723 6,301 6,732 7,073 2.12 1.92 1.32 0.99 United States of America Dayton 725 735 741 754 786 0.29 0.15 0.36 0.82 United States of America Daytona Beach-Port Orange 352 411 476 522 551 3.13 2.90 1.86 1.08 United States of America Denton-Lewisville 368 407 445 474 498 2.00 1.81 1.26 0.98 United States of America Denver-Aurora 2,385 2,608 2,827 2,995 3,141 1.79 1.61 1.15 0.96 United States of America Des Moines 452 498 544 579 608 1.95 1.76 1.24 0.97 United States of America Detroit 3,730 3,648 3,548 3,543 3,679 - 0.44 - 0.56 - 0.03 0.75 United States of America Durham 349 384 418 444 466 1.89 1.70 1.20 0.97 United States of America El Paso 807 880 951 1,006 1,056 1.74 1.56 1.13 0.95

346 WORLD CITIES REPORT 2020

United States of America Fayetteville 311 330 347 361 378 1.16 0.99 0.82 0.90 United States of America Fayetteville-Springdale 299 391 504 587 626 5.36 5.07 3.04 1.28 United States of America Flint 356 352 345 347 360 - 0.25 - 0.37 0.08 0.77 United States of America Fort Collins 266 301 337 363 382 2.46 2.26 1.51 1.02 United States of America Fort Wayne 314 328 340 351 367 0.86 0.70 0.66 0.87 United States of America Fresno 657 714 769 811 850 1.65 1.47 1.08 0.95 United States of America Grand Rapids 571 587 599 614 641 0.56 0.41 0.50 0.84 United States of America Greensboro 313 338 361 380 398 1.52 1.34 1.01 0.93 United States of America Greenville 403 464 529 576 607 2.82 2.60 1.69 1.05 United States of America Harrisburg 447 494 542 578 607 2.03 1.84 1.28 0.98 United States of America Hartford 927 966 999 1,032 1,077 0.83 0.67 0.64 0.87 United States of America Honolulu 805 851 892 928 970 1.11 0.95 0.79 0.90 United States of America Houston 4,976 5,660 6,371 6,890 7,254 2.57 2.37 1.57 1.03 United States of America Huntsville 289 335 384 420 443 2.96 2.74 1.77 1.06 United States of America Indianapolis 1,495 1,651 1,807 1,925 2,021 1.99 1.80 1.26 0.98 United States of America Indio-Cathedral City-Palm Springs 348 405 467 511 540 3.05 2.83 1.82 1.07 United States of America Jackson, Mississippi 353 387 420 446 468 1.83 1.65 1.18 0.96 United States of America Jacksonville, Florida 1,070 1,176 1,280 1,360 1,427 1.88 1.70 1.20 0.97 United States of America Kansas City 1,524 1,609 1,686 1,754 1,834 1.10 0.93 0.79 0.89 United States of America Kissimmee 318 413 528 612 652 5.20 4.92 2.95 1.27 United States of America Knoxville 563 649 741 807 851 2.86 2.64 1.72 1.06 United States of America Lafayette 255 304 358 396 419 3.50 3.27 2.06 1.11 United States of America Lakeland 264 303 344 374 394 2.75 2.54 1.66 1.05 United States of America Lancaster 404 451 497 532 559 2.17 1.98 1.35 0.99 United States of America Lancaster-Palmdale 344 414 491 546 578 3.67 3.43 2.14 1.13 United States of America Lansing 314 321 326 333 347 0.44 0.30 0.44 0.83 United States of America Laredo 237 275 315 344 363 2.95 2.73 1.76 1.06 United States of America Las Vegas 1,903 2,280 2,699 3,000 3,173 3.61 3.37 2.11 1.12 United States of America Lexington-Fayette 291 313 334 351 367 1.45 1.28 0.98 0.93 United States of America Little Rock 433 474 514 545 571 1.80 1.62 1.16 0.96 United States of America Los Angeles-Long Beach-Santa Ana 12,160 12,345 12,447 12,678 13,209 0.30 0.16 0.37 0.82 United States of America Louisville 975 1,035 1,089 1,136 1,188 1.19 1.02 0.84 0.90 United States of America Madison 404 446 487 519 545 1.98 1.79 1.25 0.98 United States of America McAllen 735 867 1,012 1,116 1,179 3.32 3.09 1.96 1.10 United States of America Memphis 1,062 1,109 1,150 1,188 1,241 0.87 0.71 0.67 0.87 United States of America Miami 5,518 5,836 6,122 6,372 6,664 1.12 0.96 0.80 0.90 United States of America Milwaukee 1,378 1,413 1,439 1,473 1,537 0.50 0.36 0.47 0.84 United States of America Minneapolis-St. Paul 2,658 2,800 2,926 3,039 3,177 1.04 0.88 0.76 0.89 United States of America Mission Viejo 585 612 636 658 687 0.91 0.75 0.69 0.88 United States of America Mobile 326 331 333 339 353 0.27 0.13 0.35 0.82 United States of America Modesto 359 386 411 431 451 1.41 1.24 0.95 0.92 United States of America Montgomery 266 308 352 385 406 2.93 2.71 1.75 1.06 United States of America Myrtle Beach 218 289 377 441 471 5.60 5.30 3.16 1.31 United States of America Nashville-Davidson 976 1,110 1,249 1,350 1,422 2.57 2.36 1.56 1.03 United States of America New Haven 564 580 593 608 634 0.58 0.43 0.51 0.85 United States of America New Orleans 902 950 992 1,030 1,076 1.03 0.87 0.75 0.89 United States of America New York-Newark 18,365 18,648 18,804 19,154 19,958 0.31 0.17 0.37 0.82 United States of America Ogden-Layton 550 628 711 771 812 2.67 2.46 1.62 1.04

347 Statistical Annex

United States of America Oklahoma City 865 928 989 1,037 1,086 1.43 1.25 0.96 0.92 United States of America Omaha 728 783 835 876 918 1.46 1.29 0.98 0.93 United States of America Orlando 1,521 1,737 1,964 2,129 2,242 2.66 2.45 1.61 1.04 United States of America Oxnard 368 384 397 410 429 0.84 0.69 0.65 0.87 United States of America Palm Bay-Melbourne 454 488 519 544 570 1.41 1.24 0.95 0.92 United States of America Pensacola 340 349 355 363 379 0.49 0.35 0.47 0.84 United States of America Philadelphia 5,449 5,602 5,717 5,861 6,114 0.55 0.41 0.50 0.84 United States of America Phoenix-Mesa 3,649 4,077 4,511 4,834 5,081 2.22 2.02 1.38 1.00 United States of America Pittsburgh 1,733 1,724 1,704 1,716 1,785 - 0.11 - 0.24 0.15 0.78 United States of America Port St. Lucie 379 447 521 574 606 3.29 3.06 1.94 1.09 United States of America Portland 1,857 2,008 2,151 2,265 2,373 1.56 1.38 1.03 0.94 United States of America Poughkeepsie-Newburgh 426 467 507 538 565 1.85 1.67 1.19 0.96 United States of America Providence 1,191 1,200 1,200 1,217 1,267 0.14 0.01 0.28 0.81 United States of America Provo-Orem 488 616 766 875 930 4.64 4.37 2.66 1.22 United States of America Raleigh 896 1,145 1,444 1,661 1,767 4.91 4.63 2.80 1.24 United States of America Reno 395 448 504 545 574 2.56 2.35 1.56 1.03 United States of America Richmond 957 1,033 1,105 1,162 1,218 1.52 1.35 1.01 0.93 United States of America Riverside-San Bernardino 1,945 2,202 2,469 2,664 2,804 2.49 2.29 1.52 1.02 United States of America Rochester 721 735 743 758 790 0.37 0.23 0.40 0.83 United States of America Rockford 298 312 324 336 351 0.93 0.78 0.70 0.88 United States of America Round Lake Beach-McHenry- 292 331 370 399 420 2.47 2.27 1.51 1.02 Grayslake United States of America Sacramento 1,733 1,927 2,123 2,269 2,384 2.13 1.93 1.33 0.99 United States of America Salt Lake City 1,025 1,099 1,169 1,226 1,284 1.40 1.23 0.95 0.92 United States of America San Antonio 1,771 2,038 2,320 2,525 2,661 2.81 2.60 1.69 1.05 United States of America San Diego 2,964 3,117 3,251 3,373 3,526 1.00 0.84 0.74 0.89 United States of America San Francisco-Oakland 3,283 3,309 3,314 3,363 3,501 0.16 0.03 0.29 0.81 United States of America San Jose 1,668 1,735 1,791 1,848 1,929 0.79 0.64 0.62 0.87 United States of America Santa Clarita 261 322 392 442 468 4.17 3.92 2.41 1.18 United States of America Santa Rosa 309 321 331 341 356 0.77 0.62 0.61 0.86 United States of America Sarasota-Bradenton 646 692 736 772 808 1.40 1.23 0.95 0.92 United States of America Savannah 262 293 324 347 365 2.22 2.02 1.38 1.00 United States of America Scranton 381 380 375 378 393 - 0.10 - 0.22 0.16 0.79 United States of America Seattle 3,069 3,259 3,433 3,581 3,747 1.20 1.04 0.84 0.90 United States of America Shreveport 299 311 322 332 347 0.81 0.65 0.63 0.87 United States of America Spokane 389 419 447 470 492 1.47 1.30 0.98 0.93 United States of America Springfield, Massachusett, 623 648 669 691 721 0.80 0.65 0.63 0.87 Connecticut United States of America Springfield, Missouri 275 311 347 374 393 2.42 2.21 1.48 1.01 United States of America St. Louis 2,153 2,190 2,213 2,256 2,351 0.35 0.21 0.39 0.83 United States of America Stockton 372 405 436 461 483 1.68 1.50 1.09 0.95 United States of America Syracuse 413 418 420 427 445 0.25 0.11 0.34 0.82 United States of America Tampa-St. Petersburg 2,452 2,668 2,877 3,040 3,188 1.69 1.51 1.10 0.95 United States of America Temecula-Murrieta 449 622 848 1,019 1,092 6.53 6.21 3.66 1.39 United States of America The Woodlands 245 377 570 723 782 8.63 8.24 4.76 1.58 United States of America Toledo 508 510 509 516 537 0.09 - 0.04 0.26 0.80 United States of America Trenton 297 314 329 341 357 1.07 0.91 0.77 0.89 United States of America Tucson 846 916 982 1,034 1,084 1.57 1.40 1.04 0.94 United States of America Tulsa 658 713 766 807 846 1.60 1.43 1.06 0.94

348 WORLD CITIES REPORT 2020

United States of America Victorville-Hesperia-Apple Valley 333 426 537 619 658 4.94 4.66 2.82 1.25 United States of America Virginia Beach 1,441 1,464 1,477 1,505 1,569 0.32 0.18 0.38 0.82 United States of America Visalia 223 301 401 475 508 6.03 5.72 3.39 1.35 United States of America Washington, D.C. 4,604 4,972 5,322 5,600 5,868 1.54 1.36 1.02 0.93 United States of America Wichita 474 502 527 548 573 1.13 0.97 0.81 0.90 United States of America Winston-Salem 394 450 509 552 581 2.67 2.46 1.62 1.04 United States of America Worcester 488 519 548 572 598 1.24 1.07 0.86 0.91 United States of America Youngstown 387 373 357 354 367 - 0.74 - 0.85 - 0.18 0.73 Uruguay Montevideo 1,659 1,707 1,752 1,788 1,819 0.57 0.52 0.40 0.34 Uzbekistan Andizhan 385 413 443 472 503 1.43 1.38 1.28 1.26 Uzbekistan Namangan 452 489 529 566 604 1.60 1.55 1.37 1.28 Uzbekistan Nukus 265 300 338 371 397 2.48 2.40 1.83 1.36 Uzbekistan Samarkand 452 513 579 635 679 2.50 2.42 1.84 1.36 Uzbekistan Tashkent 2,244 2,379 2,517 2,665 2,835 1.17 1.13 1.14 1.24 Venezuela (Bolivarian Acarigua-Aruare 280 309 339 364 385 1.94 1.85 1.45 1.12 Republic of) Venezuela (Bolivarian Barcelona-Puerto La Cruz 676 735 794 846 893 1.69 1.53 1.27 1.09 Republic of) Venezuela (Bolivarian Barinas 290 333 380 418 444 2.77 2.65 1.88 1.20 Republic of) Venezuela (Bolivarian Barquisimeto 1,078 1,145 1,214 1,282 1,352 1.22 1.17 1.08 1.06 Republic of) Venezuela (Bolivarian Cabimas 471 523 578 624 661 2.10 2.00 1.53 1.14 Republic of) Venezuela (Bolivarian Caracas 2,899 2,920 2,939 3,015 3,164 0.15 0.13 0.51 0.96 Republic of) Venezuela (Bolivarian Ciudad Bolivar 348 375 402 427 451 1.49 1.41 1.21 1.08 Republic of) Venezuela (Bolivarian Ciudad Guayana 745 829 918 991 1,050 2.13 2.03 1.54 1.14 Republic of) Venezuela (Bolivarian Cumana 311 358 393 423 447 2.81 1.86 1.45 1.12 Republic of) Venezuela (Bolivarian Guarenas-Guatire 351 397 452 495 526 2.42 2.60 1.85 1.19 Republic of) Venezuela (Bolivarian Maracaibo 1,853 2,051 2,258 2,432 2,574 2.02 1.93 1.49 1.13 Republic of) Venezuela (Bolivarian Maracay 1,065 1,134 1,203 1,270 1,340 1.26 1.18 1.09 1.06 Republic of) Venezuela (Bolivarian Maturin 469 571 695 790 844 3.92 3.91 2.57 1.32 Republic of) Venezuela (Bolivarian Merida 305 324 344 363 383 1.24 1.17 1.07 1.06 Republic of) Venezuela (Bolivarian San Cristóbal 417 444 471 497 525 1.27 1.19 1.09 1.06 Republic of) Venezuela (Bolivarian Valencia 1,647 1,777 1,910 2,031 2,144 1.52 1.44 1.22 1.09 Republic of) Viet Nam Bien Hoa 686 840 1,013 1,175 1,327 4.04 3.74 2.96 2.43 Viet Nam Can Tho 851 1,184 1,618 2,007 2,294 6.62 6.24 4.32 2.67 Viet Nam Da Nang 805 959 1,125 1,286 1,449 3.49 3.20 2.67 2.38 Viet Nam Hà Noi 2,811 3,657 4,678 5,602 6,362 5.26 4.92 3.60 2.54 Viet Nam Hai Phòng 889 1,083 1,300 1,504 1,698 3.95 3.65 2.91 2.42 Viet Nam Hue 313 356 400 447 501 2.59 2.33 2.20 2.30 Viet Nam Long Xuyen 253 287 321 357 401 2.49 2.24 2.14 2.29 Viet Nam Nha Trang 297 314 329 354 394 1.14 0.93 1.43 2.17 Viet Nam Thành Pho Ho Chí Minh (Ho Chi 6,189 7,348 8,602 9,816 11,054 3.43 3.15 2.64 2.37 Minh City) Viet Nam Thu Dau Mot 205 294 413 521 597 7.21 6.81 4.63 2.72

349 Statistical Annex

Viet Nam Vungtau 295 354 418 479 540 3.61 3.32 2.73 2.39 Yemen Adan (Aden) 707 834 980 1,154 1,364 3.31 3.22 3.27 3.34 Yemen Al-Hudaydah 489 573 669 785 927 3.18 3.10 3.20 3.33 Yemen Al-Mukalla 263 367 506 651 781 6.63 6.44 5.02 3.64 Yemen Dhamar 200 266 351 440 526 5.68 5.52 4.52 3.56 Yemen Ibb 318 457 649 847 1,019 7.24 7.03 5.34 3.70 Yemen Sana’a’ 2,084 2,495 2,973 3,527 4,174 3.60 3.51 3.42 3.36 Yemen Ta’izz 578 701 845 1,009 1,196 3.85 3.75 3.55 3.39 Zambia Kitwe 497 583 686 824 1,005 3.21 3.24 3.66 3.99 Zambia Lusaka 1,723 2,187 2,774 3,471 4,267 4.77 4.75 4.48 4.13 Zambia Ndola 449 493 542 629 762 1.86 1.93 2.95 3.86 Zimbabwe Bulawayo 658 647 638 669 753 - 0.35 - 0.27 0.94 2.38 Zimbabwe Chitungwiza 349 367 386 420 475 0.99 1.03 1.65 2.50 Zimbabwe Harare 1,475 1,500 1,530 1,633 1,845 0.34 0.40 1.30 2.44

Notes: a Urban Agglomerations with 300,000 or more in 2018

Source: United Nations, Department of Economic and Social Affairs, Population Division (2018). World Urbanization Prospects: The 2018 Revision.

350 WORLD CITIES REPORT 2020

Table B.1: Population (%) living in households with Improved Water, Improved Sanitation and Other Urban Basic Services in Urban Areas, Selected Countries

Water Sanitation Durable housing Other basic services a b Sufficient living area Country Year Connection to piped water water Improved basic Access to drinking water services Connection to sewerage Improved sanitation basic Access to sanitation services Durable floor material Durable wall material Durable roof material telephone Fixed Mobile telephone Connection to electricity Clean cooking fuel

Angola 2006 43.0 94.9 14.7 1.4 84.0 ... 87.8 ...... 100.0 82.6 45.9 66.6 86.3

Angola 2011 62.0 95.9 ... 19.3 88.7 ... 88.3 85.7 97.8 61.8 ... 92.8 82.9 88.5

Angola 2015 52.0 86.6 58.6 11.7 87.3 60.9 76.9 72.2 98.0 64.5 4.1 86.3 66.4 80.3

Benin 2001 66.8 78.0 71.6 6.1 35.9 14.4 80.8 62.6 88.7 ... 10.4 ... 51.2 1.8

Benin 2006 61.7 79.4 74.1 0.1 27.2 10.0 78.1 64.4 90.3 69.1 6.8 45.1 54.7 7.3

Benin 2011 62.1 84.1 79.7 ... 22.4 ... 80.8 74.4 87.0 59.5 ...... 66.7 10.7

Botswana 2015/16 96.8 98.2 ... 36.3 74.3 ... 96.1 92.2 97.7 77.2 ...... 79.2 71.4

Burkina Faso 2003 86.4 94.2 82.4 8.2 77.8 44.3 93.4 ...... 19.8 ... 53.9 10.1

Burkina Faso 2006 87.6 98.4 ...... 9.5 8.7 96.7 54.6 96.6 79.3 17.9 58.7 61.9 14.3

Burkina Faso 2010 78.1 94.7 85.4 1.9 81.9 49.3 86.2 75.8 92.1 76.8 12.4 87.3 50.2 14.1

Burkina Faso 2014 79.3 94.0 70.0 1.7 92.3 51.9 83.2 74.7 96.0 76.4 7.2 96.9 59.4 25.3

Cameroon 2004 67.7 85.5 73.9 15.7 57.2 36.6 75.9 ...... 80.4 4.6 ... 76.9 22.6

Cameroon 2005 68.3 86.5 ... 22.3 97.4 ... 80.2 84.6 95.1 75.2 ...... 79.5 29.2

Cameroon 2006 67.6 89.4 ... 1.7 51.1 37..7 72.9 0.0 94.8 80.8 3.9 59.3 82.3 24.0

Cameroon 2011 65.2 90.3 75.9 1.5 83.3 55.4 82.1 83.6 94.8 79.6 5.8 89.9 87.4 28.2

Central African Republic 2000 52.1 88.1 64.4 1.9 23.8 ... 37.1 93.4 71.8 99.9 ...... 19.9 ...

Central African Republic 2006 56.6 88.8 65.6 0.7 65.8 42.0 33.5 97.9 74.1 99.8 3.5 25.7 25.4 1.1

Central African Republic 2010 50.2 85.3 45.9 0.1 73.4 42.1 35.3 64.5 73.8 97.8 1.6 73.6 27.2 0.4

Chad 2000 ... 55.5 59.8 0.9 35.4 ... 79.1 ...... 56.6 ......

Chad 2004 44.9 59.6 39.0 7.0 19.5 ... 21.3 95.4 82.2 61.9 4.3 ... 20.2 ...

Chad 2010 23.2 52.4 21.4 0.8 15.3 10.5 7.0 53.5 21.8 95.8 1.1 46.6 6.4 1.7

Chad 2014 48.7 87.5 67.9 0.0 52.5 27.7 30.3 70.7 79.5 56.8 2.0 87.9 36.6 13.2

Congo 2009 84.1 96.6 ... 6.7 76.3 17.9 92.5 71.9 98.4 75.1 1.6 91.1 53.3 19.9

Congo 2011 78.8 95.8 78.9 2.5 59.4 17.9 91.0 76.4 99.4 67.7 1.8 93.7 58.9 25.5

Congo 2014 68.7 98.6 88.6 23.7 76.0 31.5 94.1 88.6 99.4 100.0 2.9 96.9 80.2 39.2

Cote divoire 2000 68.5 95.8 79.9 28.1 65.7 ... 76.8 ...... 56.2 ......

Cote d’ivore 2005 76.7 82.4 ... 33.9 42.9 ... 96.8 ...... 48.0 ... 87.5 ...

Cote divoire 2006 69.3 96.1 16.2 6.2 84.8 40.2 97.3 92.8 97.1 99.2 10.9 62.6 88.5 22.1

Cote d’ivore 2012 73.3 96.5 92.5 15.0 77.6 ... 97.5 ...... 5.9 ... 89.7 ...

Cote divoire 2016 74.5 95.0 91.2 11.0 77.1 48.4 98.4 95.3 95.7 100.0 3.4 97.4 93.1 53.5

Democratic Republic of the Congo 2000 43.5 66.1 64.4 4.1 57.4 ... 99.9 75.4 95.8 35.3 ......

Democratic Republic of the Congo 2007 60.8 80.6 57.9 14.9 53.6 21.4 49.4 ... 74.0 ... 1.4 51.1 38.9 10.8

Democratic Republic of the Congo 2010 61.8 83.1 17.4 0.9 35.9 13.9 55.5 71.4 81.6 61.6 2.5 69.9 44.7 8.7

Democratic Republic of the Congo 2014 36.3 84.9 58.9 0.8 56.5 24.4 51.5 67.3 79.5 60.2 2.2 82.4 43.2 5.3

Equatorial Guinea 2000 18.8 60.4 45.8 30.6 92.28 ... 82.94 ...... 68.61 ......

Ethiopia 2000 80.3 85.3 57.2 2.4 4.2 2.2 33.6 ... 86.8 ... 11.0 ... 77.4 1.7

Ethiopia 2005 89.5 93.5 75.8 1.4 52.3 22.6 54.6 18.1 93.8 49.9 35.5 14.5 86.1 2.5

Ethiopia 2011 85.6 94.6 69.8 2.8 45.4 18.4 49.8 19.1 94.1 58.5 24.7 67.2 83.7 4.2

Ethiopia 2016 86.8 97.6 59.1 2.8 51.5 20.3 66.5 24.9 93.3 64.4 18.2 90.1 92.4 25.9

Gabon 2000 92.4 93.4 77.4 31.8 58.7 38.0 89.9 96.7 99.1 76.1 20.2 ... 90.8 80.0

351 Statistical Annex

Table B.1: Continued

Water Sanitation Durable housing Other basic services a b

Country Year Connection to piped water water Improved basic Access to drinking water services Connection to sewerage Improved sanitation basic Access to sanitation services Durable floor material Durable wall material Durable roof material Sufficient living area telephone Fixed Mobile telephone Connection to electricity Clean cooking fuel

Gabon 2012 94.8 97.3 62.5 38.0 64.6 40.9 92.5 99.3 99.7 76.6 2.4 97.4 97.8 90.6

Gambia 2000 90.7 94.6 46.1 19.1 47.58 ... 81.5 69.91 96.26 75.36 ...... 50.97 ...

Gambia 2006 87.5 91.2 60.0 7.7 93.34 50.68 93.87 75.04 97.56 72.38 33.1 74.46 55.24 3.03

Ghana 2003 72.2 88.8 78.6 22.7 61.8 15.4 96.1 ...... 17.1 ... 77.1 15.9

Ghana 2008 67.1 96.4 88.7 3.8 86.7 17.9 95.5 90.5 97.0 65.8 7.2 80.4 83.8 23.0

Ghana 2008 59.4 99.0 91.7 10.2 93.9 28.6 96.0 96.8 99.4 71.8 12.4 91.2 90.5 44.2

Ghana 2011 50.0 69.6 ... 2.9 72.6 18.0 94.1 95.3 82.3 70.3 3.7 91.0 81.8 24.2

Ghana 2014 41.5 96.5 86.7 12.9 85.6 20.4 98.1 89.4 98.6 68.8 2.8 93.7 90.3 35.2

Ghana 2016 42.6 96.0 89.3 0.9 88.5 22.7 87.7 83.7 98.5 68.4 1.0 96.1 89.9 34.0

Guinea 2005 66.3 77.9 68.9 7.6 59.9 25.8 90.5 ...... 23.7 ... 63.1 0.6

Guinea 2012 70.2 95.2 74.2 7.5 86.1 39.5 94.1 92.4 96.8 68.9 1.8 95.6 75.4 0.6

Guinea 2016 64.3 98.4 46.1 2.7 87.42 43.26 97.29 97.44 97.25 58.8 ... 96.67 83.37 1.65

Guinea Bissau 2000 36.4 71.5 48.0 2.8 11.61 2.31 99.79 92.56 77.53 43.77 ......

Guinea Bissau 2006 45.7 82.3 56.1 13.0 28.81 21.69 75.91 44.63 87.81 55.63 11.62 56.68 36.57 2.46

Guinea Bissau 2014 58.7 91.7 71.6 1.7 49.3 25.93 75.9 19.91 96.65 67.28 1.51 98.13 35.9 1.43

Kenya 2003 70.2 77.9 51.5 39.1 50.4 25.7 77.5 ... 89.6 66.5 37.4 ... 51.5 13.3

Kenya 2008 76.8 93.0 75.4 33.9 82.8 35.0 88.2 79.6 96.4 69.9 8.1 85.1 64.9 22.8

Kenya 2014 65.9 88.7 70.0 18.2 75.3 30.9 80.2 69.2 97.0 65.7 0.8 94.7 65.1 22.6

Kenya 2015 60.4 91.6 65.9 21.1 76.8 38.2 83.0 67.8 95.7 72.7 1.9 96.6 72.6 ...

Lesotho 2000 81.9 88.9 70.7 4.9 65.8 ... 84.4 ...... 77.3 ...... 13.5 ...

Lesotho 2004 88.6 94.9 79.9 8.4 47.3 24.9 93.1 ...... 46.8 ... 28.7 65.9

Lesotho 2009 82.4 90.7 68.9 3.3 59.6 31.2 95.3 89.6 97.7 73.9 17.7 89.1 48.6 73.1

Lesotho 2014 92.8 96.3 81.1 3.7 94.1 49.3 94.0 93.2 97.5 80.4 7.8 96.5 65.1 78.5

Liberia 2007 19.3 88.8 83.9 7.5 47.0 23.2 82.7 65.0 90.9 56.1 ... 65.9 7.0 0.1

Liberia 2009 17.7 93.6 ... 5.0 63.7 0.0 77.5 68.8 90.6 52.2 0.0 74.6 3.4 0.0

Liberia 2011 14.5 84.6 76.0 1.2 53.2 19.4 84.0 78.1 95.1 52.2 ... 81.7 7.9 0.4

Liberia 2013 5.0 90.2 78.0 1.7 58.2 26.3 76.7 71.7 95.5 60.6 ... 83.8 17.0 0.2

Liberia 2016 14.9 95.1 85.6 2.0 67.7 30.1 81.3 78.1 97.0 60.8 ... 81.4 32.0 0.4

Madagascar 2000 72.5 77.5 48.9 10.1 22.5 18.6 58.5 ...... 41.5 ......

Madagascar 2003 63.9 72.7 62.6 6.9 73.7 25.5 59.0 ...... 11.9 ... 52.2 3.2

Madagascar 2008 74.2 87.6 81.9 0.5 19.2 10.6 70.0 66.4 86.0 55.0 9.6 75.4 69.4 2.6

Madagascar 2011 69.2 87.4 ... 0.2 21.2 9.2 64.7 68.5 76.9 57.7 6.6 73.7 63.7 1.6

Madagascar 2013 54.9 80.9 ... 1.3 35.2 14.8 62.3 48.7 74.1 58.4 5.4 70.0 60.5 1.8

Madagascar 2016 71.3 87.3 73.6 0.9 32.2 13.0 67.1 69.1 81.8 57.8 3.2 73.4 68.2 1.4

Malawi 2000 84.4 95.0 73.6 18.8 19.8 17.4 69.8 ...... 32.5 15.6

Malawi 2004 75.0 91.4 77.1 17.9 20.3 17.4 66.2 ...... 75.6 26.7 ... 34.0 11.0

Malawi 2006 78.3 96.0 48.6 1.0 38.4 22.0 64.9 82.5 73.9 99.9 5.8 35.6 30.2 7.3

Malawi 2010 76.0 92.1 70.1 10.7 36.3 22.0 68.7 83.5 80.0 78.0 8.6 76.0 37.0 9.0

Malawi 2012 69.3 91.9 83.0 14.2 45.1 32.8 69.3 95.0 82.1 73.9 7.1 76.7 37.1 10.3

Malawi 2014 84.4 95.9 87.7 14.1 52.2 29.1 78.3 94.0 89.0 77.2 5.5 81.3 47.4 9.9

Malawi 2014 88.7 95.9 77.1 2.4 84.8 49.0 76.9 82.9 88.3 98.3 6.4 85.6 48.0 10.4

Malawi 2017 89.7 65.3 65.4 2.8 55.4 31.2 81.0 87.8 91.2 81.1 5.3 86.5 57.6 9.5

352 WORLD CITIES REPORT 2020

Table B.1: Continued

Water Sanitation Durable housing Other basic services a b

Mali 2001 61.1 71.9 70.7 14.5 35.6 18.3 61.5 ...... 13.1 ... 41.5 0.8

Mali 2006 69.4 79.3 78.3 6.4 47.9 22.9 57.9 ...... 67.3 13.7 46.5 49.0 0.7

Mali 2012 74.4 94.0 91.2 6.8 86.5 45.3 64.3 70.2 88.0 75.8 7.8 95.2 77.3 1.5

Mali 2015 77.7 91.3 85.7 3.5 81.9 52.8 74.6 84.6 86.9 100.0 6.4 97.8 79.0 2.2

Mali 2015 81.3 96.1 92.6 2.4 89.0 57.4 74.2 84.7 93.4 71.4 8.3 98.6 85.1 0.8

Mauritania 2001 76.8 91.0 63.9 4.1 12.7 9.6 57.8 ...... 34.8 8.0 ... 50.6 ...

Mozambique 2003 62.6 71.8 60.2 8.2 8.2 8.0 62.1 ...... 72.7 6.1 ... 29.8 6.7

Mozambique 2009 63.2 79.8 ... 4.2 54.0 42.4 58.4 68.1 63.8 82.7 2.9 60.0 47.7 6.0

Mozambique 2011 71.7 84.8 67.9 0.0 47.4 39.3 57.9 49.0 69.9 78.7 2.4 71.8 59.3 2.1

Mozambique 2015 76.5 92.2 63.6 26.0 47.3 40.3 68.9 59.4 79.1 76.0 2.5 84.3 73.2 2.8

Namibia 2000 97.9 98.1 88.3 78.7 80.6 57.1 86.2 ...... 73.2 43.7 ... 74.6 ...

Namibia 2007 96.5 97.4 84.2 73.1 80.2 61.9 83.3 81.8 81.1 77.8 34.4 79.5 78.4 76.3

Namibia 2013 96.6 97.9 85.7 63.6 73.8 53.5 78.5 91.1 92.6 80.4 15.8 95.9 74.1 72.0

Niger 2006 90.8 93.4 84.2 6.9 40.9 24.7 60.1 ...... 51.8 5.0 40.5 50.5 3.1

Niger 2012 94.1 97.0 72.1 2.8 77.9 40.2 72.2 40.8 56.7 54.8 4.4 84.8 62.7 3.9

Nigeria 2003 32.4 74.9 60.6 27.9 33.2 18.2 86.7 ...... 65.9 11.7 ... 83.9 46.7

Nigeria 2008 20.1 83.8 75.2 10.2 76.6 37.5 88.2 85.8 92.9 63.6 4.1 77.5 84.2 3.3

Nigeria 2010 20.2 81.6 ... 17.1 61.5 ... 81.0 75.9 89.2 69.2 1.6 81.2 78.0 2.2

Nigeria 2013 15.7 89.8 74.9 8.6 76.9 42.7 85.0 86.0 96.5 66.5 4.1 89.1 83.0 4.6

Nigeria 2015 17.1 92.6 84.3 14.3 75.8 48.1 87.4 88.8 93.0 66.7 3.5 91.2 82.0 9.1

Nigeria 2016 16.9 82.9 ... 11.5 77.6 49.4 84.1 89.8 96.3 65.0 4.0 91.0 86.3 16.9

Rwanda 2000 77.1 81.5 55.9 8.1 41.3 28.9 64.4 ...... 10.2 ... 42.6 1.6

Rwanda 2005 56.7 62.0 47.2 6.3 54.9 40.5 51.1 ...... 6.1 ... 27.4 0.4

Rwanda 2008 60.3 64.4 52.2 4.3 44.5 35.0 50.2 ...... 5.8 47.2 30.0 0.0

Rwanda 2010 65.0 89.2 63.7 3.8 88.1 56.3 58.5 69.1 98.7 83.0 1.9 76.1 47.3 0.2

Rwanda 2013 73.4 97.6 72.4 0.0 85.8 53.6 62.4 77.2 99.7 86.8 0.7 84.6 61.9 0.9

Rwanda 2015 81.4 90.4 69.4 7.4 86.6 49.7 70.4 69.5 99.8 87.4 1.2 88.4 73.9 1.3

Senegal 2005 88.3 90.7 60.5 64.3 25.1 18.5 89.4 ...... 1.0 ... 56.9 81.9 74.9

Senegal 2006 77.9 99.9 ... 9.6 96.4 73.6 93.7 ...... 62.4 35.2 81.9 84.8 74.7

Senegal 2008 85.4 93.5 ... 15.4 90.2 ... 87.3 90.4 96.0 68.2 22.9 91.5 85.7 68.3

Senegal 2011 89.1 94.1 69.7 19.0 80.3 61.7 87.2 93.0 96.1 65.1 23.0 97.2 89.5 57.1

Senegal 2012 86.7 92.2 64.1 12.7 87.1 63.6 92.3 92.0 95.6 64.3 12.3 97.9 87.7 40.9

Senegal 2014 86.8 91.9 63.3 11.7 85.5 65.3 90.1 92.8 94.9 63.1 9.3 97.5 87.5 40.4

Senegal 2015 81.0 89.5 63.4 13.6 86.6 60.7 93.7 92.3 97.7 68.2 8.6 98.1 88.7 39.8

Senegal 2016 85.0 93.7 45.2 11.3 89.7 65.7 92.9 92.3 98.4 75.9 7.5 98.2 89.8 49.0

Sierra Leone 2008 43.6 81.9 60.5 0.3 75.1 26.1 75.2 61.3 89.4 68.4 2.1 67.4 31.0 0.1

Sierra Leone 2013 44.6 88.9 71.2 0.7 76.7 21.9 81.8 78.9 95.5 60.7 0.9 86.0 41.7 0.2

Sierra Leone 2016 37.9 91.4 81.1 1.2 76.8 28.1 78.5 86.7 93.6 62.5 0.5 90.4 43.9 0.7

Sierra Leone 2017 27.4 86.6 ... 2.0 72.9 70.2 85.1 0.0 99.0 75.3 1.0 89.4 39.1 0.9

South Africa 2016 97.4 99.6 98.4 81.5 88.6 71.9 98.7 94.1 97.8 83.4 10.0 97.3 93.7 90.7

Eswatini 2006 86.6 93.3 71.1 49.2 60.4 42.6 97.4 87.8 99.0 78.2 27.7 78.1 65.2 69.5

Eswatini 2014 93.7 95.5 ... 30.3 91.8 50.8 99.4 94.1 99.7 83.4 19.2 98.8 81.0 78.3

353 Statistical Annex

Table B.1: Continued

Water Sanitation Durable housing Other basic services a b

Tanzania 2004 67.5 85.0 80.4 10.1 22.8 14.5 70.7 51.5 86.7 0.8 31.7 ... 39.0 0.9

Tanzania 2007 67.9 86.7 76.2 0.0 28.1 14.8 72.5 70.1 91.3 0.8 3.3 65.5 42.2 1.6

Tanzania 2010 58.5 82.3 60.0 1.4 48.6 29.5 76.7 48.6 93.0 0.8 5.5 80.9 46.9 4.7

Tanzania 2011 70.0 91.1 85.5 2.0 71.6 40.9 78.5 91.0 94.5 81.9 2.0 89.4 47.1 2.4

Tanzania 2015 61.3 92.3 82.5 1.8 91.0 54.8 81.0 91.8 94.7 80.2 1.2 94.0 55.6 7.6

Togo 2010 55.1 87.3 ... 0.4 73.1 28.0 95.2 93.2 97.0 71.1 12.4 86.1 76.0 5.6

Togo 2013 49.5 91.4 89.1 0.1 78.5 28.0 96.6 91.2 98.8 68.0 6.2 92.6 84.1 12.4

Uganda 2001 62.1 89.1 77.4 10.9 19.7 12.1 74.9 64.8 93.9 ... 18.6 ... 47.6 6.2

Uganda 2006 56.8 90.3 62.6 8.3 64.0 21.0 72.2 58.9 82.4 56.9 3.7 54.5 41.0 1.0

Uganda 2009 50.2 93.9 ... 9.5 72.5 ... 79.9 78.8 93.4 63.3 6.7 80.6 46.4 2.5

Uganda 2011 67.6 94.0 79.6 9.1 78.2 25.9 79.4 73.6 91.4 62.1 4.8 86.9 54.8 3.8

Uganda 2014 62.4 90.6 84.1 2.8 70.0 31.6 67.4 67.7 91.9 63.8 2.3 89.3 50.9 1.5

Uganda 2016 67.6 91.5 78.1 2.6 70.0 31.8 72.1 73.9 90.3 67.8 3.0 91.2 57.7 2.1

Zambia 2002 82.7 90.4 84.4 46.9 49.0 37.3 80.1 ...... 11.3 ... 50.2 ...

Zambia 2007 76.3 82.2 79.7 28.4 72.0 44.2 84.4 91.0 92.3 63.7 6.4 68.1 52.4 41.5

Zambia 2013 73.3 89.3 83.2 24.9 73.3 39.3 85.7 92.4 92.7 69.5 3.1 91.4 62.9 25.1

Zimbabwe 2005 97.5 99.6 99.0 85.7 98.2 65.1 99.1 99.2 99.6 79.3 24.9 38.8 92.1 88.4

Zimbabwe 2010 76.7 95.6 93.1 76.4 93.8 49.9 97.0 97.8 98.8 76.8 12.1 92.1 84.7 74.3

Zimbabwe 2015 65.0 97.4 93.6 75.5 95.6 52.3 97.2 97.5 99.1 81.5 9.3 97.4 81.3 73.0

Algeria 2012 76.0 94.6 ... 91.7 97.7 91.5 22.6 91.7 97.1 74.6 32.8 97.5 99.3 99.8

Egypt 2000 98.8 99.7 81.0 55.1 58.8 57.5 95.1 ...... 93.0 43.6 ... 99.4 95.0

Egypt 2003 99.6 99.9 92.1 63.9 64.9 64.8 96.2 ...... 95.8 64.1 ... 99.8 98.0

Egypt 2005 98.4 99.9 86.3 67.9 69.5 68.8 97.6 ...... 95.5 73.7 40.1 99.7 98.9

Egypt 2008 98.7 100.0 74.0 74.5 75.8 75.3 98.1 ...... 96.4 63.6 56.4 99.9 ...

Egypt 2014 96.8 99.8 88.3 91.7 99.8 98.9 98.7 ...... 92.2 29.4 94.9 99.9 ...

Morocco 2004 96.1 98.0 ... 98.0 98.6 91.3 92.6 ...... 78.5 67.9 ... 94.8 99.1

Sudan 2014 73.0 94.8 68.6 2.1 69.3 57.0 26.8 50.2 52.9 55.9 3.7 88.1 73.0 48.5

Afghanistan 2015 30.4 92.1 74.0 9.9 69.2 55.6 89.6 61.3 29.4 0.5 5.8 94.2 93.0 81.8

Bangladesh 2004 30.2 97.1 ...... 50.1 ... 48.1 70.5 25.2 0.6 18.2 ... 77.8 33.1

Bangladesh 2007 28.8 99.6 ... 8.6 61.2 41.1 56.8 80.0 97.5 68.2 8.0 57.8 82.9 2.9

Bangladesh 2011 43.4 99.5 95.2 10.9 73.8 46.9 67.0 88.3 98.7 75.1 8.5 91.0 90.3 3.8

Bangladesh 2014 29.8 99.6 92.2 10.8 84.4 53.8 66.3 89.8 99.5 75.5 4.5 94.5 90.8 5.2

India 2006 69.5 96.1 85.0 28.1 77.1 54.7 80.0 89.3 92.3 53.0 28.0 38.0 93.1 59.3

India 2016 67.9 97.7 88.7 22.4 85.3 71.2 84.9 92.7 92.7 63.7 7.4 97.2 97.6 79.5

Iran 2006 84.0 92.1 ... 98.4 98.4 ... 32.5 ...... 90.6 71.6 ... 97.7 91.0

Maldives 2009 56.9 99.3 34.1 99.2 99.9 97.5 98.8 98.4 99.6 61.3 48.2 99.6 99.9 99.3

Nepal 2001 52.9 87.0 86.7 57.5 65.4 38.2 58.0 ...... 20.7 ... 86.4 25.5

Nepal 2006 47.7 90.4 92.3 20.4 77.0 42.5 68.1 79.1 93.9 67.9 31.2 23.6 89.8 43.4

Nepal 2012 53.0 94.9 94.7 26.5 87.8 58.0 76.6 82.6 96.6 81.2 28.6 92.8 96.9 64.1

Nepal 2016 50.3 95.9 94.6 11.2 86.3 64.9 50.2 58.5 53.4 83.1 11.0 95.8 94.6 44.1

Pakistan 2012 58.9 98.7 85.6 68.6 95.1 87.3 91.9 95.8 92.4 42.2 18.8 95.6 99.8 85.2

Kazakhstan 2015 87.4 90.7 ... 65.3 99.9 97.6 99.7 93.0 99.5 92.9 79.9 98.4 100.0 99.8

354 WORLD CITIES REPORT 2020

Table B.1: Continued

Water Sanitation Durable housing Other basic services a b

Krygystan 2012 92.1 96.0 94.5 35.5 98.7 91.7 81.2 72.9 76.6 88.2 47.0 97.6 99.8 93.7

Kyrgyztan 2014 96.3 97.7 ... 35.3 99.6 94.6 98.8 71.3 99.2 83.6 44.8 99.1 99.9 89.6

Nepal 2014 56.1 93.3 ... 19.6 91.3 66.2 68.9 72.6 95.8 83.8 24.1 97.0 96.1 61.8

Pakistan 2014 27.3 87.8 ... 40.3 81.6 72.7 82.1 88.3 81.3 54.0 10.9 87.2 90.0 69.5

Palestine 2014 57.0 98.4 ... 62.0 99.7 98.5 61.3 99.3 99.9 73.7 36.9 48.7 99.9 1.1

Tajikistan 2005 89.8 93.1 ... 55.3 97.5 89.4 86.8 74.4 91.1 82.5 54.7 26.3 94.0 89.3

Turkmenstein 2015 97.7 85.7 ... 55.4 100.0 98.2 99.4 99.9 99.8 92.4 87.0 99.2 99.9 100.0

Uzbekistan 2006 98.4 99.8 ... 45.9 99.9 97.7 99.0 99.0 98.8 89.5 62.3 22.0 99.7 99.1

Mongolia 2013 43.7 91.7 ... 32.6 92.7 64.1 40.1 55.0 67.2 86.2 13.0 93.6 92.4 58.1

Cambodia 2000 35.0 67.0 24.3 35.8 35.8 30.5 35.5 84.4 ...... 18.7 ... 62.0 16.0

Cambodia 2004 55.1 64.6 ... 75.5 77.9 ... 48.2 3.7 75.8 83.7 36.1

Indonesia 2002 29.3 82.8 72.8 ... 83.4 ... 86.0 77.3 96.9 ... 26.4 ... 98.0 19.8

Indonesia 2007 28.4 82.1 40.6 ... 88.6 77.4 88.7 99.1 98.8 ... 63.6 ... 98.2 21.5

Indonesia 2012 18.4 63.0 39.5 ... 90.7 ... 91.2 97.6 98.3 84.7 12.4 93.6 99.3 73.6

Myanmar 2016 11.3 93.3 82.0 0.9 78.9 67.6 54.5 52.3 93.6 67.2 12.9 94.2 92.8 57.7

Philippines 2003 66.7 98.4 92.1 92.2 93.8 ... 73.9 ...... 54.8 52.2 92.2 ...

Philippines 2008 42.9 98.2 89.3 3.5 93.8 75.3 82.3 79.9 95.0 61.9 21.5 83.1 93.8 52.2

Philippines 2013 35.5 98.4 92.6 6.9 94.1 73.8 84.3 80.6 95.7 63.2 13.7 92.4 94.2 56.0

Thailand 2015 39.2 97.5 ... 11.2 99.6 97.6 71.8 96.3 99.2 84.8 18.9 70.5 99.3 3.7

Timor Leste 2009 63.2 88.6 85.7 19.9 82.9 65.9 70.3 62.9 93.0 71.0 1.8 75.6 84.4 8.3

Timor Leste 2016 55.8 97.0 94.6 0.0 88.9 76.8 85.0 69.1 95.1 79.1 14.6 97.5 98.4 21.9

Vietnam 2002 76.4 96.9 25.8 82.8 86.5 ... 94.8 ... 97.5 71.8 58.5 ... 99.4 ...

Vietnam 2005 63.7 98.3 ... 80.8 86.9 83.3 96.2 94.4 98.6 80.5 68.4 ... 99.6 67.4

Vietnam 2013 53.4 98.2 98.1 2.1 92.0 89.4 99.1 95.4 99.4 84.5 37.7 97.1 99.9 78.3

Iraq 2018 53.8 76.6 ... 0.0 99.6 96.4 98.1 63.5 98.7 99.9 61.0 ......

Jordan 2002 87.8 99.8 ... 0.9 91.8 ... 100.0 ...... 0.7 59.2 35.9 1.0 99.8

Jordan 2007 71.6 99.7 ... 64.6 99.8 96.8 99.9 99.4 ... 0.7 38.7 93.5 99.0 99.9

Jordan 2009 61.2 99.8 ... 67.4 100.0 98.6 100.0 99.8 ... 0.7 25.0 98.7 99.5 99.8

Jordan 2012 52.3 99.8 ... 68.7 99.9 99.7 100.0 99.7 99.0 0.8 20.2 99.2 99.5 100.0

Syria 2006 87.6 94.1 ... 91.5 94.4 91.3 93.9 92.6 94.5 78.7 75.1 61.5 94.5 94.6

Turkey 2004 68.9 94.6 12.9 91.3 96.9 95.4 87.7 ...... 83.1 81.7 76.4 ......

Yemen 2006 53.9 74.8 ... 39.7 97.2 90.4 82.3 ...... 50.7 54.2 61.6 95.5 95.4

Yemen 2013 42.0 96.7 95.0 64.5 90.6 86.3 94.2 92.4 37.6 56.0 39.1 95.0 98.6 93.9

Armenia 2000 98.1 98.4 40.9 89.7 90.1 84.3 61.8 ...... 75.4 ... 99.4 90.4

Armenia 2001 96.9 98.0 ... 90.7 90.7 ... 0.1 0.9 26.8 ...... 52.8

Armenia 2005 99.1 99.5 74.4 93.9 99.0 97.6 75.9 ...... 0.9 0.9 0.5 1.0 99.2

Armenia 2010 97.9 99.9 95.1 95.8 98.1 97.0 83.7 98.6 99.2 0.9 91.0 93.4 99.8 99.8

Armenia 2011 95.5 96.9 ... 93.8 93.8 ... 0.1 0.9 78.4 ......

Armenia 2016 98.7 100.0 98.5 95.3 96.7 96.2 88.5 93.7 99.8 0.9 79.3 98.2 100.0 99.7

Azerbaijan 2006 77.6 97.4 76.4 71.0 92.2 82.0 21.2 93.3 98.8 75.6 75.7 67.1 99.7 98.9

Austria 2001 100 100 ... 100 100 100 ...... 99.72 ......

Italy 2001 93.9 99.2 ...... 99.0 ...... 85.8 ......

355 Statistical Annex

Table B.1: Continued

Water Sanitation Durable housing Other basic services a b

Switzerland 2000 ...... 99.68 ......

Moldova 2005 73.3 98.9 ... 67.1 91.6 84.7 88.1 99.5 99.1 1.0 89.3 23.3 99.5 99.0

Ukraine 2007 82.0 99.6 ... 69.9 99.2 95.8 71.5 96.8 97.8 98.0 70.4 82.4 99.9 97.9

Argentina 2001 96.6 99.1 ... 46.8 99.1 ... 95.8 93.5 95.5 85.3 58.3 27.6 ... 96.4

Argentina 2011 86.3 98.3 ...... 97.55 ...... 91.46 55.49 88.64 88.64 ...

Barbados 2012 99.1 99.9 30.2 7.0 98.51 95.1 85.14 90.93 98.23 97.83 ... 94.85 99.09 99.81

Belize 2006 38.0 99.2 36.1 24.2 96.11 89.9 90.83 88.91 99.44 85.52 45.52 72.32 98.44 95.11

Belize 2011 26.3 99.5 99.8 22.7 98.34 92.9 70.71 90.12 98.48 89.19 29.83 94.35 96.94 96.51

Belize 2015 21.9 97.4 97.4 19.3 96.75 92.9 74.67 87.32 98.96 89.21 17.21 97.6 97.36 95.27

Bolivia 2000 91.7 95.9 26.5 68.8 78.37 ... 99.16 ...... 62.97 ......

Bolivia 2001 85.8 94.7 ... 81.3 81.3 ... 36.9 ...... 86.2

Bolivia 2004 89.6 93.2 43.7 56.9 56.9 17.0 85.3 61.9 40.1 62.2 29.5 35.8 93.8 90.1

Bolivia 2008 93.8 96.9 29.5 55.2 79.7 56.0 75.1 96.2 97.8 68.6 30.6 80.2 97.6 94.1

Colombia 2000 97.8 98.5 59.7 89.0 95.5 79.0 94.5 ...... 82.7 67.1 ... 99.4 94.4

Colombia 2005 91.9 98.1 31.1 91.0 97.8 12.7 58.7 92.5 ... 84.0 69.5 ... 99.4 95.1

Colombia 2005 89.5 95.1 ... 95.4 100.0 ... 95.3 91.6 92.1 66.0 ... 98.3 9.4

Colombia 2010 91.9 98.3 45.0 90.6 98.0 89.0 61.0 93.4 ... 88.4 51.4 ... 99.4 96.5

Colombia 2015 89.7 98.7 61.6 92.9 98.6 92.7 70.8 95.0 ... 93.5 47.1 97.8 99.8 98.5

Costa Rica 2000 98.0 99.1 ... 34.7 97.9 ... 98.2 98.6 ...... 99.2 96.1

Costa Rica 2011 99.5 99.7 99.7 31.5 97.19 95.1 93.71 91.19 97.43 94.66 62.31 94.44 99.74 98.84

Costa Rica 2011 ... 98.9 ... 26.5 96.9 ... 98.3 64.2 98.8 98.9 62.7 92.8 99.4 60.7

Cuba 2006 82.5 98.3 44.5 52.8 97.06 92.7 ......

Cuba 2010 84.6 98.6 91.5 56.7 96.24 92.9 ......

Cuba 2014 86.4 98.1 86.6 58.8 95.8 91.6 ......

Dominican Republic 2000 34.6 98.0 98.0 74.6 81.0 68.8 97.9 92.5 99.5 81.0 ...... 99.4 1.6

Dominican Republic 2002 28.7 98.8 80.2 70.4 89.0 81.9 97.1 94.9 39.3 80.7 50.0 ... 98.9 95.4

Dominican Republic 2007 18.5 99.4 98.0 78.3 96.1 86.8 98.3 95.7 47.0 86.2 36.0 78.2 98.9 95.0

Dominican Republic 2013 7.0 99.2 90.5 82.6 96.5 86.4 98.0 95.3 47.0 86.3 ... 93.4 99.5 93.2

Dominican Republic 2014 6.4 98.4 44.8 27.8 94.7 84.1 98.5 92.5 99.5 88.9 32.9 95.0 99.0 95.4

El Salvador 2007 91.7 98.1 ... 56.1 62.7 ... 86.8 92.5 65.9 80.9 49.8 69.1 94.9 2.7

El Salvador 2014 68.1 99.2 85.5 53.8 99.02 89.8 91.51 91.26 99.59 82.52 37.73 96.82 98.22 91.28

Guatemala 2002 89.0 96.6 ... 69.2 94.4 ... 84.6 85.5 98.8 70.8 ...... 94.5 3.6

Guatemala 2014 49.5 99.4 80.4 73.4 89.9 78.9 86.3 84.8 99.6 0.7 20.2 93.6 96.5 62.2

Guyana 2000 72.8 84.6 9.4 71.4 72.34 ...... 76.77 ...... 54.88

Guyana 2005 45.8 99.4 99.2 8.7 94.8 82.6 76.2 83.0 98.9 79.5 59.1 71.2 81.4 68.1

Guyana 2006 55.1 98.0 90.7 8.7 99.4 89.4 88.21 94.19 99.52 79.71 57.02 71.48 81.76 98.12

Guyana 2009 30.4 98.6 71.6 11.7 96.1 90.7 73.2 95.7 96.0 85.4 78.2 90.8 90.2 75.9

Guyana 2014 34.0 99.0 48.9 7.4 97.84 91.0 87.71 53.95 99.7 86.45 72.58 95.95 93.75 80.73

Haiti 2000 82.3 90.4 82.9 8.8 76.0 33.4 87.6 ...... 11.6 ... 82.3 4.6

Haiti 2003 27.5 88.8 ... 10.6 84.4 ... 86.8 90.9 98.4 69.1 15.6 ... 57.9 0.1

Haiti 2006 51.9 93.1 81.8 3.0 51.0 27.8 89.6 92.4 99.1 61.0 10.3 37.5 69.2 5.7

Haiti 2012 36.3 94.2 85.7 2.0 82.3 38.8 86.5 85.6 93.6 59.3 3.7 92.8 72.7 6.1

356 WORLD CITIES REPORT 2020

Table B.1: Continued

Water Sanitation Durable housing Other basic services a b

Haiti 2017 25.3 98.4 90.8 0.6 79.5 47.0 90.2 91.5 96.6 66.2 1.2 92.3 76.4 8.7

Hondurus 2005 50.6 96.6 46.8 57.0 87.7 77.1 47.0 74.7 99.2 69.5 44.5 54.4 ... 65.0

Hondurus 2012 39.7 98.4 50.5 60.3 91.3 80.1 50.3 76.4 99.0 75.8 35.0 93.2 ... 68.1

Jamaica 2000 82.5 82.5 ...... 88.87 ......

Jamaica 2005 85.5 95.9 40.2 10.7 97.21 83.2 ......

Jamaica 2011 88.1 99.2 77.2 14.5 98.58 87.8 88.81 85.92 99.55 90.7 23.58 97.61 95.48 89.66

Nicaragua 2001 90.3 95.9 95.1 29.2 71.8 66.9 67.4 61.7 98.9 54.3 19.3 11.8 94.3 56.1

Panama 2013 98.1 99.9 88.6 45.4 95.98 88.3 95.76 99.86 99.98 86.14 39.12 95.81 98.5 ...

Paraguay 2016 71.6 98.6 71.5 14.8 95.67 91.8 93.12 94.55 99.29 87.65 23.86 98.44 99.89 82.84

Peru 2000 88.0 94.3 93.3 75.8 83.7 76.5 72.3 66.4 55.1 74.0 37.7 ... 93.1 59.7

Peru 2004 92.4 95.2 93.6 83.9 89.6 78.6 78.4 74.1 90.7 78.9 46.4 ... 96.5 74.6

Peru 2007 81.6 90.6 ...... 89.5 ... 49.2 84.9 ... 0.9 39.2 54.3 89.4 73.5

Peru 2012 86.6 95.5 94.5 80.5 89.6 80.0 79.3 70.7 92.2 0.8 39.3 92.5 98.4 86.8

Saint Lucia 2012 75.6 99.8 86.2 11.0 93.15 89.09 86.04 68.09 99.41 95.96 46.45 94.31 96.39 96.85

Suriname 2000 91.2 98.2 2.5 84.3 99.08 79.7 99.28 ......

Suriname 2006 81.5 98.2 12.6 0.6 97.95 89.86 82.96 97.92 99.28 88.55 46.47 81.49 95.22 89.74

Suriname 2010 81.3 99.1 49.1 1.7 97.79 87.67 85.85 98.21 99.55 90.1 42.66 96.51 97.28 93.67

Trinidad and Tobago 2000 83.0 92.7 9.4 31.3 71.04 62.92 ... 96.78 ... 89.02 ......

Trinidad and Tobago 2006 83.4 95.7 35.1 19.2 98.67 92.07 80.18 92.07 99.48 94.44 67.52 91.22 97.47 99.6

Uruguay 2013 94.3 99.9 93.8 59.5 98.37 94.38 95.85 94.78 98.12 93.87 66.22 94.83 98.96 99.81

Venezuela 2000 87.3 93.0 92.1 69.2 87.86 90.87 99.96 96.51 99.53 80.18 ...... 97.15

Canada 2001 ...... 99.97 ......

USA 2000 ...... 95.32 ... 97.64 ......

USA 2005 ...... 98.38 ... 95.55 ......

USA 2010 100 100 ...... 98.37 ... 97.89 ......

Fiji 2007 97.2 98.7 ... 0 99.6 ... 0 73.4 0 87.6 52.5 81.9 93.3 0.0

Notes: a Access to basic drinking water services (Improved water source is available with collection time no more than 30 minutes for a round trip) b Access to basic sanitation services (improved facilities not shared with other households) Source: United Nations Human Settlement Programme (UN-Habitat), Global Urban Indicators Database 2020

357 Statistical Annex

Table B.2: Population (%) living in households with Improved Water, Improved Sanitation and Other Urban Basic Services in Selected Cities

Water Sanitation Durable housing Other basic services

County Year piped water Connection to water Improved basic drinking Access to water servicesa sewerage Connection to Sanitation Improved basic sanitation Access to servicesb Durable floor material Durable wall material material Durable roof Sufficient living area telephone Fixed Mobile telephone electricity Connection to Clean cooking fuel Municipal wolid waste collection coverage Angola Luanda 2006 49.6 100.0 16.4 0.5 93.8 ... 97.2 ...... 100.0 89.5 40.3 74.3 97.6 ... Angola Luanda 2011 55.9 99.1 ... 19.3 94.5 ... 95.7 95.6 98.3 59.5 ... 97.0 88.4 96.1 23.1 Angola Luanda 2015 56.1 95.9 71.2 12.8 97.3 71.8 94.5 96.2 99.2 67.5 5.5 94.9 82.3 97.1 ... Benin Cotonou 2001 99.9 100.0 98.2 12.4 80.2 26.0 97.8 87.8 98.8 ... 16.2 ... 77.5 4.7 ... Benin Djouguo 2006 63.8 91.1 84.2 0.0 39.1 20.5 77.7 63.1 94.0 66.1 4.7 36.3 51.7 0.8 ... Benin Porto-Novo 2006 65.2 76.5 85.6 0.0 43.8 14.1 93.9 83.6 93.2 65.8 9.7 60.0 68.4 11.3 ... Benin Cotonou 2011 92.1 98.7 98.7 ... 25.1 ... 95.4 93.8 90.2 60.7 ...... 91.5 23.7 36.7 Benin Parakou 2007 ...... 10.0 Botswana Gaborone 2013 ...... 91.2 Botswana Gaborone 2015/17 94.7 96.2 ... 58.7 86.9 ... 95.8 94.2 95.8 87.1 ...... 85.7 94.4 ... Botswana Francistown 2015/18 98.8 99.0 ... 59.7 80.2 ... 99.0 93.7 99.0 86.6 ...... 77.8 76.7 ... Burkina Faso Ouagadougou 2003 96.0 98.7 83.4 14.3 78.5 52.2 96.5 ...... 26.8 ... 57.1 16.0 ... Burkina Faso Ouagadougou 2006 83.8 99.0 ...... 16.7 15.2 98.3 51.5 99.6 81.1 25.7 65.9 66.3 24.1 ... Burkina Faso Ouagadougou 2009 ...... 9.6 Burkina Faso Ouagadougou 2010 93.6 99.1 91.3 2.7 95.3 68.3 89.6 82.4 97.9 73.1 18.4 92.4 58.1 25.1 ... Burkina Faso Ouagadougou 2014 95.6 100.0 79.2 3.4 99.0 67.4 85.3 82.4 96.1 74.6 7.9 97.7 62.1 45.8 ... Cameroon Yaounde 2004 90.6 98.2 95.2 24.7 62.2 33.6 91.4 ...... 80.3 7.4 ... 96.9 46.0 ... Cameroon Douala 2004 74.0 88.7 71.7 26.5 58.6 39.3 85.6 ...... 84.8 6.9 ... 97.1 42.0 ... Cameroon Yaounde I 2005 88.0 96.4 ... 28.6 99.0 ... 93.9 85.4 99.4 71.1 ...... 96.0 48.7 ... Cameroon Yaounde II 2005 88.1 95.4 ... 26.9 99.0 ... 91.3 90.8 99.5 69.1 ...... 96.5 39.8 ... Cameroon Yaounde III 2005 89.8 96.2 ... 43.3 98.2 ... 92.8 92.5 98.6 71.4 ...... 95.6 64.0 ... Cameroon Yaounde IV 2005 88.1 95.3 ... 32.2 98.5 ... 92.0 90.5 99.1 67.5 ...... 95.3 54.4 ... Cameroon Yaounde V 2005 88.0 96.5 ... 33.9 99.1 ... 91.0 88.3 99.5 75.3 ...... 95.6 53.9 ... Cameroon Yaounde VI 2005 89.7 94.9 ... 35.0 99.3 ... 93.5 92.8 99.5 72.6 ...... 95.8 54.7 ... Cameroon Douala 1 2005 92.2 97.2 ... 46.3 98.1 ... 97.8 72.9 99.8 77.1 ...... 97.0 66.9 ... Cameroon Douala 2 2005 82.9 92.9 ... 26.5 97.1 ... 92.5 72.3 98.5 74.9 ...... 94.2 40.4 ... Cameroon Douala 3 2005 61.0 76.6 ... 20.9 97.5 ... 88.8 64.5 99.7 79.5 ...... 94.0 33.7 ... Cameroon Douala 4 2005 77.4 92.8 ... 31.7 97.6 ... 83.3 68.5 99.6 74.0 ...... 94.0 40.7 ... Cameroon Douala 2006 77.0 98.7 ... 5.2 63.5 0.0 75.8 0.0 99.3 84.9 6.6 80.3 99.2 48.6 ... Cameroon Yaounde 2006 94.6 98.4 ... 1.6 59.1 0.0 81.5 0.0 98.5 78.8 7.6 84.9 99.3 52.5 ... Cameroon Yaounde 2009 ...... 43.6 Cameroon Yaounde 2011 84.3 98.1 85.7 2.8 91.1 51.9 93.5 86.3 98.2 81.0 13.4 95.3 99.2 56.7 ... Cameroon Douala 2011 62.4 99.0 90.3 0.9 96.2 61.0 92.6 98.4 99.9 81.8 5.2 97.3 97.8 45.2 ... Central African Republic Bangui 2000 81.1 98.2 73.8 3.4 30.6 ... 50.0 94.5 97.2 99.9 ...... 36.1 ...... Central African Republic Bangui 2006 82.7 97.5 70.2 1.5 67.6 38.0 45.1 98.6 98.7 99.8 6.7 44.5 46.6 2.3 ... Central African Republic Bangui 2010 82.0 96.4 56.0 0.3 19.6 11.4 45.4 70.1 97.6 98.3 2.8 91.7 46.9 0.7 ... Chad Ndjamena 2000 ... 61.2 76.3 1.6 43.4 ... 69.8 ...... 56.1 ...... Chad Ndjamena 2004 51.2 67.3 23.8 12.2 35.3 ... 31.6 98.7 97.8 63.9 9.1 ... 35.3 ...... Chad Ndjamena 2010 72.7 99.4 14.1 6.2 72.6 42.7 40.1 65.7 90.9 95.9 8.0 92.2 42.4 15.1 ... Chad Ndjamena 2014 56.6 99.8 91.2 0.0 69.8 32.2 37.8 73.4 98.8 58.5 3.8 94.9 54.8 35.0 ... Congo Brazzaville 2009 85.1 98.9 ... 6.6 74.3 14.5 92.8 86.0 98.9 75.4 1.5 90.4 62.4 17.5 ... Congo Brazzaville 2011 76.6 96.2 62.2 2.2 61.8 17.4 89.6 88.0 99.1 69.1 2.4 94.1 63.7 23.6 ... Congo Brazaville 2014 70.4 98.1 14.4 25.2 79.6 31.0 93.9 91.0 99.4 100.0 3.5 97.2 85.7 39.1 ...

358 WORLD CITIES REPORT 2020

Table B.2: Continued

Water Sanitation Durable housing Other basic services

Cote divoire Abidjan 2000 86.3 98.6 78.6 39.2 86.9 ... 68.3 ...... 49.1 ...... Côte d’Ivoire Abidjan 2003 ...... 41.2 Cote d’ivore Abidjan 2005 99.3 99.5 ... 49.9 61.7 ... 98.4 ...... 57.6 ... 96.8 ...... Cote divoire Abidjan 2006 89.4 99.0 18.9 16.6 89.8 39.3 98.7 95.2 98.7 99.4 9.8 75.5 92.5 48.5 ... Cote d’ivore Abidjan 2012 98.5 98.9 64.7 27.2 46.8 ... 99.1 ...... 9.1 ... 96.6 ...... Cote divoire Abidjan 2016 94.2 99.7 1.9 20.0 90.0 60.4 99.2 95.2 95.3 100.0 5.8 97.4 97.3 84.6 ... Democratic Republic of Kinshasa 2000 68.1 70.3 69.9 7.4 73.8 ... 99.8 86.5 97.0 32.2 ...... the Congo Democratic Republic of Kinshasa 2007 89.8 94.1 73.4 30.9 63.0 16.0 91.7 ... 98.0 ... 0.9 78.9 84.1 27.5 ... the Congo Democratic Republic of Kinshasa 2010 78.6 83.1 5.6 0.6 57.3 18.5 90.1 94.1 99.5 55.3 3.8 86.6 76.3 15.3 ... the Congo Democratic Republic of Kinshasa 2014 51.8 99.2 84.3 0.8 64.1 20.7 93.2 92.6 99.7 51.0 2.7 95.9 90.4 15.4 ... the Congo Ethiopia Addis Ababa 2000 98.4 98.4 79.4 5.3 11.1 6.3 69.0 ... 99.7 ... 26.9 ... 97.5 2.0 ... Ethiopia Nazret 2000 78.3 78.3 32.6 0.0 4.8 4.2 27.3 ... 95.6 ... 13.4 ... 91.5 2.4 ... Ethiopia Mekele 2000 100.0 100.0 65.3 12.0 12.0 1.5 39.0 ... 94.6 ... 18.9 ... 99.3 12.2 ... Ethiopia Addis Ababa 2005 99.9 99.9 90.3 2.2 73.3 26.8 86.4 21.6 99.8 50.7 57.5 37.0 97.2 5.0 ... Ethiopia Nazret 2005 97.6 99.2 96.4 3.6 53.6 28.6 57.7 25.0 97.9 57.1 42.5 13.6 94.6 2.8 ... Ethiopia Gonder 2005 99.1 99.3 87.8 1.8 66.5 28.3 43.0 14.3 98.0 55.9 44.7 11.5 99.1 3.1 ... Ethiopia Mekele 2005 92.9 98.1 81.4 0.0 45.1 6.6 36.5 48.4 98.8 41.2 19.8 2.0 94.1 3.6 ... Ethiopia Awasa 2005 100.0 100.0 91.7 0.0 43.7 22.0 52.5 16.3 93.5 55.1 32.0 2.8 92.5 1.1 ... Ethiopia Addis 2010 ...... 38.5 Ethiopia Addis Ababa 2011 99.6 100.0 81.1 5.8 73.2 24.5 86.3 25.2 98.8 64.1 48.1 89.5 98.6 10.3 ... Ethiopia Addis Ababa 2016 97.1 99.7 75.8 10.0 81.6 29.0 94.0 35.4 97.7 66.9 30.5 97.5 99.8 59.6 ... Gabon Libreville 2000 99.5 99.7 92.3 37.6 69.2 44.7 96.7 97.9 99.1 75.2 24.7 ... 95.7 92.5 ... Gabon Libreville/Port-Gentil 2012 97.1 98.4 69.5 45.6 77.1 47.0 96.8 100.0 99.7 75.6 3.1 98.3 99.5 96.0 ... Gambia Banjul 2000 100.0 100.0 44.5 61.1 94.63 ... 93.68 94.11 92.78 66.1 ...... 77.96 ...... Gambia Banjul 2006 80.3 80.8 8.4 45.5 96.62 39.77 98.92 76.46 100 62.95 45.69 81.69 83 4.66 ... Ghana Accra 2003 89.6 99.2 93.1 45.3 76.2 26.3 99.2 ...... 38.1 ... 85.5 34.9 ... Ghana Accra 2008 59.4 99.0 91.7 10.2 93.9 28.6 96.0 96.8 99.4 71.8 12.4 91.2 90.5 44.2 ... Ghana Greater Accra 2011 34.7 37.2 ... 6.9 88.3 32.4 99.7 99.7 91.7 72.4 8.0 96.6 90.3 55.3 ... Ghana Accra 2014 29.3 99.8 97.4 22.7 92.2 26.7 98.8 90.4 99.6 70.9 5.7 96.9 95.2 52.3 ... Ghana Kumasi 2014 48.3 96.1 88.5 11.0 84.8 20.9 98.7 97.1 100.0 60.2 1.3 93.9 93.1 34.6 ... Ghana Accra 2015 ...... 58.8 Ghana Accra 2016 31.8 99.9 98.8 1.5 95.7 30.5 89.0 88.5 99.9 68.8 1.2 96.7 93.8 46.1 ... Ghana Kumasi 2016 38.7 89.3 79.5 0.0 96.2 24.0 79.5 95.9 99.4 61.3 0.4 97.1 89.2 36.7 ... Guinea Conakry 2005 91.7 95.0 88.8 12.6 74.7 29.5 97.8 ...... 33.2 ... 95.5 0.8 ... Guinea Conakry 2007 ...... 56.0 Guinea Conakry 2012 86.5 99.4 76.6 7.7 91.1 38.3 94.9 99.3 99.9 59.1 1.7 96.9 93.8 0.3 ... Guinea Conakry 2016 81.3 100.0 53.8 4.0 98.21 43.01 99.45 97.92 98.01 48.64 ... 96.94 97.99 1.74 ... Guinea Bissau SAB 2000 52.4 87.7 58.7 1.7 11.69 3 99.85 93.82 90.29 34.72 ...... Guinea Bissau SAB Capital 2006 59.6 92.1 64.6 17.9 37.07 27.07 88.34 46.4 94.74 49.76 14.06 67.51 44.01 3.42 ... Guinea Bissau SAB 2014 71.2 96.9 77.5 2.2 63.79 31.97 82.5 25.19 98.75 61.09 1.87 98.17 43.6 1.98 ... Kenya Nairobi 2003 93.3 95.0 70.7 70.9 72.9 41.8 86.9 ... 94.3 71.0 54.0 ... 77.5 27.2 ... Kenya Mombasa 2003 88.7 90.5 94.1 26.5 41.8 21.7 82.8 ... 81.3 68.6 37.7 ... 48.5 5.3 ...

359 Statistical Annex

Table B.2: Continued

Water Sanitation Durable housing Other basic services

Kenya Kisumu 2003 75.9 79.7 65.7 20.9 28.8 20.9 90.8 ... 89.3 62.0 44.1 ... 52.9 13.4 ... Kenya Nakuru 2003 51.3 68.4 38.5 15.3 36.7 4.6 72.7 ... 99.6 53.0 21.8 ... 30.5 0.0 ... Kenya Nairobi 2008 92.0 98.7 81.9 69.2 94.6 47.0 94.5 88.1 99.3 75.3 10.9 92.7 89.1 42.4 ... Kenya Mombasa 2008 74.5 81.9 70.8 8.6 79.8 26.2 96.0 79.3 95.0 60.7 11.1 83.0 61.7 14.2 ... Kenya Kisumu 2008 74.3 93.2 86.0 25.2 76.8 52.4 94.8 91.4 99.6 82.8 17.7 93.5 69.0 32.2 ... Kenya Nairobi 2012 ...... 52.0 Kenya Nairobi 2014 86.9 97.9 87.6 44.1 90.1 29.6 94.6 69.0 99.9 62.5 1.0 98.0 88.0 40.5 ... Kenya Nairobi 2015 74.8 98.4 97.8 38.5 92.7 55.8 99.7 67.7 100.0 77.2 2.7 99.6 97.9 ... 32.5 Kenya Nairobi 2019 ...... 6.5 Lesotho Maseru 2000 85.4 90.4 73.1 5.5 67.3 ... 84.4 ...... 78.2 ...... 17.9 ...... Lesotho Maseru 2004 95.0 98.3 88.0 11.9 49.6 25.8 95.5 ...... 54.7 ... 39.1 75.6 ... Lesotho Maseru 2006 ...... 20.0 Lesotho Maseru 2009 83.0 91.0 72.0 3.3 59.4 23.6 97.4 93.9 99.4 71.0 16.5 90.3 47.0 79.7 ... Lesotho Maseru 2014 97.9 99.0 90.9 4.6 95.3 45.1 95.3 95.6 97.5 78.9 9.4 95.9 67.9 84.9 ... Liberia Monrovia 2007 24.7 90.7 84.6 9.9 53.2 27.6 91.0 74.6 93.9 55.6 ... 74.3 8.4 0.1 ... Liberia Monrovia 2009 33.8 97.5 ... 9.3 66.4 0.0 90.6 88.1 92.8 43.3 0.0 82.1 5.5 0.0 ... Liberia Monrovia 2011 24.2 85.8 73.6 1.7 60.8 23.7 90.7 88.5 97.8 49.6 ... 85.0 12.5 0.6 ... Liberia Monrovia 2012 ...... 37.0 Liberia Monrovia 2013 9.0 95.1 86.5 2.9 70.2 33.7 90.4 93.9 99.8 56.9 ... 94.5 28.3 0.2 ... Liberia Monrovia 2015 ...... 10.8 Liberia Monrovia 2016 19.3 99.1 90.5 3.5 84.2 37.4 95.6 96.3 99.9 56.4 ... 90.3 48.8 0.4 ... Liberia Monrovia 2019 ...... 10.8 Madagascar Antananarivo 2000 91.9 93.8 58.1 14.2 32.4 27.6 67.7 ...... 42.6 ...... Madagascar Antananarivo 2003 80.5 84.5 77.6 10.0 91.0 27.5 67.7 ...... 21.2 ... 65.8 6.6 ... Madagascar Antananarivo 2007 ...... 17.7 Madagascar Antananarivo 2008 92.0 98.1 91.3 0.9 25.9 15.0 79.4 93.6 97.4 50.2 17.5 81.9 81.3 5.5 ... Madagascar Antananarivo 2011 87.0 96.6 ... 0.0 1.6 1.1 71.4 89.4 78.5 41.6 7.1 60.7 53.0 0.1 ... Madagascar Antananarivo 2013 75.9 93.7 ... 0.7 35.7 13.9 79.9 72.3 77.8 50.6 0.4 75.3 69.6 0.9 ... Malawi Lilongwe 2000 74.4 92.9 64.0 17.9 19.0 15.7 68.0 ...... 34.3 17.7 ... Malawi Lilongwe 2004 85.1 93.4 79.3 20.0 21.8 17.3 66.7 ...... 76.2 31.4 ... 34.6 14.9 ... Malawi Lilongwe 2006 80.2 94.5 66.4 0.7 43.8 18.1 62.0 57.8 70.0 100.0 2.6 30.4 20.3 6.0 ... Malawi Blantyre 2006 92.6 97.6 31.7 2.1 43.3 24.1 81.9 99.7 94.4 100.0 7.4 45.0 41.8 13.0 ... Malawi Lilongwe 2010 71.5 84.9 69.4 7.2 44.6 21.9 64.9 64.6 77.5 75.0 6.2 71.8 28.5 8.7 ... Malawi Lilongwe 2012 66.9 85.8 75.6 12.5 42.3 26.7 66.0 93.1 84.0 68.8 5.6 76.7 24.6 8.2 ... Malawi Lilongwe 2014 88.1 97.3 83.7 16.2 63.2 33.7 83.7 94.7 92.6 75.8 4.4 85.5 47.5 13.8 ... Malawi Lilongwe 2014 91.3 99.4 35.9 5.5 39.9 27.2 85.0 90.7 94.3 100.0 6.3 87.8 51.0 14.0 ... Malawi Blantyre 2014 93.2 98.9 37.6 0.8 30.0 19.1 81.9 76.5 95.1 97.4 6.8 87.7 53.4 12.1 ... Malawi Lilongwe 2017 93.5 66.5 10.6 1.8 56.5 31.1 80.7 88.8 91.6 76.7 6.3 85.0 50.9 12.7 ... Mali Bamako 2001 84.2 89.2 87.5 22.6 48.3 24.2 76.4 ...... 20.5 ... 59.4 1.6 ... Mali Bamako 2010 ...... 38.1 Mali Bamako 2012 87.5 98.7 94.0 9.8 90.8 47.5 72.2 80.9 95.0 71.9 10.7 96.4 84.6 2.5 57.0 Mali Bamako 2015 89.8 92.8 44.5 5.2 93.6 56.4 86.6 95.9 98.0 100.0 6.9 98.3 91.6 2.6 ... Mali Bamako 2015 87.0 92.8 86.6 3.9 93.6 60.0 80.7 92.8 98.9 68.2 8.8 98.5 90.4 1.1 ... Mali Bamako 2019 ...... 100.0

360 WORLD CITIES REPORT 2020

Table B.2: Continued

Water Sanitation Durable housing Other basic services

Mauritania Nouakchott 2001 93.2 98.9 69.8 5.0 14.5 10.6 64.5 ...... 34.9 8.7 ... 48.3 ...... Mauritania Nouakchott 2005 ...... 31.6 Mozambique Maputo 2003 73.0 81.8 73.0 9.2 9.2 8.9 91.4 ...... 76.8 6.8 ... 31.7 11.1 ... Mozambique Maputo 2009 96.9 99.8 ... 12.9 84.0 63.0 95.2 94.1 99.5 87.1 6.6 90.7 83.6 27.7 ... Mozambique Maputo 2011 95.4 99.1 96.1 0.0 66.7 57.6 97.3 93.6 99.7 77.9 4.9 96.4 90.7 6.0 82.0 Mozambique Maputo 2015 89.5 94.2 91.0 63.5 81.6 68.0 98.6 93.8 99.6 79.0 2.2 95.8 94.9 5.6 ... Namibia Windhoek 2000 96.9 97.0 82.6 79.3 79.7 55.8 88.1 ...... 71.4 42.5 ... 74.9 ...... Namibia Windhoek 2007 96.6 97.7 85.1 87.1 89.1 67.7 91.1 86.7 87.1 81.4 39.4 87.7 86.8 89.6 ... Niger Niamey 2006 91.3 94.2 89.8 10.7 44.8 23.3 70.2 ...... 52.1 8.7 50.7 61.6 3.5 ... Niger Zinder 2006 ...... 47.0 Niger Niamey 2012 95.0 97.3 86.0 5.9 84.4 33.9 83.3 56.9 67.0 61.1 7.0 89.3 73.5 4.8 29.0 Nigeria Lagos 2003 30.2 95.6 87.7 53.8 58.0 22.8 99.3 ...... 46.1 33.8 ... 100.0 95.1 ... Nigeria Ibadan 2003 15.2 24.0 24.2 41.3 41.6 25.5 97.5 ...... 63.1 15.4 ... 99.2 90.1 ... Nigeria Zaria 2003 73.7 75.9 100.0 18.3 18.3 14.9 99.1 ...... 54.3 15.3 ... 100.0 44.2 ... Nigeria Akure 2003 31.6 77.2 80.3 8.8 21.1 3.7 100.0 ...... 54.5 8.9 ... 95.4 66.2 ... Nigeria Kano 2003 52.7 69.0 52.7 13.2 15.0 12.8 95.5 ...... 69.8 8.8 ... 94.7 38.2 ... Nigeria Lagos 2008 15.5 97.6 92.2 14.1 92.7 27.4 99.4 98.6 92.2 49.4 8.3 96.3 98.2 5.2 ... Nigeria Ibadan 2008 41.0 91.8 76.5 18.1 77.8 10.3 98.2 95.3 98.9 58.1 1.4 82.0 95.0 0.3 ... Nigeria Zaria 2008 28.6 74.0 87.7 13.6 68.4 37.2 97.9 82.1 92.4 70.4 3.6 84.6 83.6 3.8 ... Nigeria Akure 2008 9.1 93.5 87.4 6.7 75.7 34.1 97.4 98.7 99.2 69.8 0.3 87.1 97.5 2.0 ... Nigeria Kano 2008 31.2 80.1 70.6 11.4 89.3 65.8 65.2 75.9 89.0 63.0 5.1 68.4 87.0 2.6 ... Nigeria Abuja 2008 28.2 84.1 72.7 37.3 80.4 49.3 96.7 93.2 99.8 63.7 7.0 93.4 83.2 17.4 ... Nigeria Lagos 2010 31.9 86.0 ... 46.8 78.3 ... 94.0 93.6 94.3 57.3 4.7 91.2 96.1 6.6 ... Nigeria Ibadan 2010 8.2 100.0 ... 12.4 55.6 ... 94.1 87.0 100.0 65.0 0.6 87.9 91.3 2.6 ... Nigeria Zaria 2010 11.9 41.0 ... 1.8 37.1 ... 61.6 27.4 96.2 68.2 1.5 77.5 48.4 0.6 ... Nigeria Akure 2010 1.7 73.9 ... 8.3 67.9 ... 90.3 87.5 100.0 85.5 0.0 89.2 90.3 0.3 ... Nigeria Lagos 2013 21.8 95.5 96.1 7.6 85.5 30.0 98.6 98.9 99.5 54.9 2.7 97.4 99.5 10.8 ... Nigeria Ibadan 2013 6.9 97.7 93.0 1.8 67.6 20.5 99.6 99.6 100.0 65.3 1.0 95.6 78.4 1.8 ... Nigeria Zaria 2013 24.9 82.5 89.6 12.9 92.4 29.1 83.1 81.6 97.7 78.6 1.2 92.9 89.7 3.9 ... Nigeria Akure 2013 7.2 95.7 85.8 12.4 73.7 30.2 98.5 99.3 99.2 70.4 0.0 96.2 94.2 3.1 ... Nigeria Abuja 2013 51.1 99.6 97.7 41.8 95.2 65.5 95.5 97.2 99.8 72.8 3.8 97.5 93.2 42.3 ... Nigeria Lagos 2015 20.8 98.5 96.8 29.3 92.3 33.9 99.5 98.7 70.0 48.5 5.4 94.8 99.7 18.7 30.0 Nigeria Ibadan 2015 3.5 97.7 97.3 2.2 88.8 45.6 93.1 87.4 96.3 76.9 2.4 94.8 85.7 9.7 ... Nigeria Zaria 2015 14.6 85.4 84.3 15.9 72.8 60.9 70.3 77.2 95.8 79.7 22.7 62.2 66.7 3.1 ... Nigeria Akure 2015 14.8 96.3 89.6 25.0 91.9 34.0 97.3 95.7 100.0 74.2 4.0 96.1 77.5 15.0 ... Nigeria Kano 2015 47.1 92.6 93.1 17.7 80.1 75.7 73.3 79.9 96.6 75.4 5.0 91.1 82.5 18.6 ... Nigeria Abuja 2015 34.3 98.7 100.0 67.8 100.0 87.5 86.8 95.8 77.7 81.0 3.4 98.5 94.5 38.6 ... Rwanda Kigali 2000 81.0 83.3 60.9 6.3 48.8 30.9 75.4 ...... 11.3 ... 47.6 1.6 ... Rwanda Kigali 2005 67.3 70.0 54.2 10.0 67.1 45.5 71.1 ...... 10.9 ... 43.9 0.6 ... Rwanda Kigali 2008 79.8 81.0 71.7 6.4 34.6 21.6 73.5 ...... 10.4 72.2 51.0 0.0 ... Rwanda Kigali 2010 83.3 93.8 74.3 6.5 95.6 51.4 79.5 77.0 99.8 83.2 3.0 90.7 68.5 0.4 ... Rwanda Kigali 2013 90.0 99.6 89.3 0.0 95.8 49.8 88.9 91.6 99.7 88.4 1.0 97.6 89.5 1.6 ... Rwanda Kigali 2014 ...... 76.5 Rwanda Kigali 2015 92.7 96.3 79.9 7.8 95.0 42.1 87.2 83.3 99.8 86.2 1.5 95.1 90.8 2.0 ...

361 Statistical Annex

Table B.2: Continued

Water Sanitation Durable housing Other basic services

Senagal Dakar 2005 98.5 98.7 73.6 75.3 34.0 23.8 94.9 ...... 1.0 ... 58.7 91.1 95.3 ... Senagal Dakar 2006 97.5 99.8 ... 17.7 97.7 67.8 99.0 ...... 62.9 42.4 89.7 96.2 94.8 ... Senegal Dakar 2007 ...... 21.4 Senagal Dakar 2008 98.2 98.8 ... 25.4 95.9 ... 94.5 98.2 98.7 66.3 27.8 93.8 94.7 92.5 ... Senagal Dakar 2011 96.4 98.0 78.2 34.9 92.0 67.0 93.6 99.6 99.8 62.9 29.2 98.1 95.9 82.4 ... Senagal Dakar 2012 97.8 99.2 81.5 25.3 97.5 62.3 97.1 97.9 96.1 62.7 16.0 97.7 95.2 62.0 ... Senagal Dakar 2014 98.9 100.0 94.7 23.8 96.4 67.0 95.6 98.1 94.0 57.5 11.9 97.0 95.0 56.7 ... Senagal Dakar 2015 92.0 95.3 75.0 24.9 97.2 59.2 95.1 99.2 99.7 66.7 10.0 99.5 95.5 59.4 ... Senagal Dakar 2016 95.5 99.3 65.5 19.5 96.3 65.0 95.0 99.1 99.6 76.2 9.8 99.4 93.8 68.4 ... Sierra Leone Freetown 2008 77.2 96.3 39.9 0.6 84.8 29.0 88.3 71.1 93.5 63.8 4.0 79.0 52.3 0.1 ... Sierra Leone Freetown 2013 66.4 93.3 63.1 1.1 81.2 28.5 89.4 80.8 97.2 51.9 1.2 91.8 63.0 0.2 ... Sierra Leone Freetown 2016 49.7 93.7 70.1 2.1 86.3 32.6 83.9 95.5 87.5 53.2 0.2 96.8 62.8 1.1 ... South Africa Cape Town 2013 ...... 78.9 South Africa Durban 2014 ...... 81.4 South Africa Johannesburg 2015 ...... 82.6 South Africa Western Cape 2016 98.7 99.4 99.3 92.9 95.2 82.0 98.8 96.5 98.5 85.3 19.9 96.3 99.1 98.5 ... South Africa Eastern Cape 2016 97.1 99.8 99.3 81.7 92.6 78.8 98.5 93.6 94.3 78.1 8.2 96.7 91.9 87.7 ... South Africa Northern Cape 2016 98.6 99.8 99.6 76.7 87.9 84.6 97.2 98.0 94.2 70.0 5.6 92.9 93.1 93.8 ... South Africa Free State 2016 97.2 99.9 98.4 81.3 86.4 78.3 97.6 96.9 96.0 84.7 4.1 95.9 94.6 92.2 ... South Africa Kwazulu-Natal 2016 97.4 99.3 98.6 73.1 85.8 75.2 97.8 90.1 96.4 84.9 13.3 97.7 98.0 91.5 ... South Africa North West 2016 96.0 99.9 99.6 91.2 93.6 76.0 98.1 93.8 99.4 83.0 3.7 97.5 95.6 90.3 ... South Africa Gauteng 2016 97.8 100.0 98.5 81.2 88.7 64.8 99.4 94.6 98.9 82.7 8.1 97.9 92.1 91.2 ... South Africa Mpumalanga 2016 92.9 99.9 94.5 62.3 65.7 51.3 97.9 88.4 99.1 90.2 4.3 98.6 74.1 65.1 ... South Africa Limpopo 2016 93.1 94.6 92.3 86.0 89.7 76.4 100.0 97.7 98.6 88.0 8.2 98.0 98.8 86.4 ... South Africa Steve Tshwete 2018 ...... 84.7 Eswatini Mbabane 2006 86.4 92.5 72.6 45.7 54.6 45.5 95.8 79.9 99.6 79.4 38.3 80.8 62.9 65.3 ... Eswatini Hhohho 2014 94.7 95.5 ... 37.6 83.2 54.7 99.6 90.0 99.4 84.0 28.4 98.6 85.1 80.9 ... Eswatini Manzini 2014 93.3 96.5 ... 13.0 97.2 43.3 99.5 97.5 99.6 84.0 12.7 98.7 79.0 81.5 ... Eswatini Shiselweni 2014 92.9 94.0 ... 21.5 92.8 44.2 98.5 90.0 100.0 73.8 20.6 98.4 69.1 61.6 ... Eswatini Lubombo 2014 93.0 94.8 ... 71.4 96.7 70.4 99.8 100.0 100.0 93.0 12.8 100.0 92.1 85.1 ... Tanzania Dar es Salaam 2004 72.3 95.9 92.9 11.9 22.2 15.3 94.4 96.0 93.3 0.8 49.4 ... 60.5 2.3 ... Tanzania Arusha 2004 92.3 95.2 79.7 13.1 26.5 13.7 62.0 38.2 92.4 0.7 39.0 ... 37.2 1.9 ... Tanzania Dar es Salaam 2007 65.9 92.9 87.9 0.0 31.1 16.2 93.9 96.8 100.0 0.8 5.9 83.5 62.8 2.7 ... Tanzania Arusha 2007 92.3 96.4 59.0 0.0 20.9 9.7 76.8 66.1 97.7 0.9 1.8 67.3 29.6 4.2 ... United Republic of Moshi 2008 ...... 60.0 Tanzania Tanzania Dar es Salaam 2010 53.3 79.1 69.2 1.8 44.8 26.2 98.3 97.9 99.5 0.8 7.1 92.4 68.4 9.6 ... Tanzania Arusha 2010 88.9 93.5 75.5 0.0 35.2 7.2 72.5 45.6 98.4 0.6 1.5 81.0 34.1 2.3 ... Tanzania Dar es Salaam 2011 59.3 95.4 93.7 0.6 75.8 31.7 96.4 99.7 100.0 80.5 2.7 93.8 66.5 2.6 ... Tanzania Arusha 2011 99.1 100.0 95.8 9.8 55.8 28.8 77.8 67.7 100.0 78.1 1.9 95.2 48.3 14.7 ... United Republic of Dar es Salaam 2012 ...... 40.0 Tanzania Tanzania Dar es Salaam 2015 50.3 97.9 75.2 3.3 98.2 56.8 96.0 99.5 99.9 81.6 1.6 96.7 76.3 15.7 44.7 Tanzania Arusha 2015 97.2 100.0 100.0 3.1 95.4 50.9 96.5 95.1 99.7 82.9 1.0 98.8 70.3 27.7 ...

362 WORLD CITIES REPORT 2020

Table B.2: Continued

Water Sanitation Durable housing Other basic services

United Republic of Dar es Salaam 2019 ...... 50.9 Tanzania Togo Lome 2005 ...... 43.9 Togo Lomé 2010 70.7 89.7 ... 0.7 87.9 32.3 95.5 96.8 97.5 68.3 17.8 91.5 83.9 8.6 ... Togo Lome 2013 45.3 94.7 94.1 0.1 89.3 32.0 98.0 96.8 99.8 64.1 7.8 94.2 87.9 17.4 ... Uganda Kampala 2001 81.0 93.1 87.1 13.9 25.6 15.3 88.1 77.3 99.6 ... 26.6 ... 59.8 9.3 ... Uganda Kampala 2006 75.4 94.3 73.6 12.2 79.3 25.7 89.9 76.8 92.4 57.1 7.2 70.5 61.2 2.2 ... Uganda Kampala 2009 88.4 98.3 ... 17.6 94.0 ... 92.4 87.8 99.0 62.1 10.2 90.4 69.5 6.4 ... Uganda Kampala 2011 84.6 97.6 93.1 12.9 94.2 23.4 94.0 88.3 99.4 63.8 6.4 94.1 79.9 6.2 ... Uganda Kampala 2014 92.8 100.0 97.3 5.3 98.4 39.4 91.2 97.9 99.3 63.4 3.4 96.5 85.7 4.6 ... Uganda Kampala 2015 ...... 39.0 Uganda Kampala 2016 80.8 99.0 92.2 5.7 93.6 31.6 96.6 95.1 99.7 65.3 5.0 97.8 92.5 4.7 ... Uganda Kampala 2017 ...... 50.0 Uganda Kampala 2019 ...... 61.0 Zambia Ndola 2002 81.3 89.4 57.8 74.9 74.9 58.2 78.0 ...... 19.0 ... 58.2 ...... Zambia Chingola 2002 85.3 88.9 51.3 84.3 84.3 64.4 87.5 ...... 2.6 ... 76.3 ...... Zambia Lusaka 2002 94.8 97.7 89.1 21.7 27.6 18.5 96.3 ...... 14.5 ... 48.7 ...... Zambia Ndola 2007 65.8 74.1 55.0 32.0 65.8 40.9 82.4 88.9 99.0 69.7 8.1 65.1 42.7 28.7 ... Zambia Chingola 2007 89.0 91.3 34.9 68.1 90.1 77.2 93.2 93.6 97.9 65.5 10.8 79.5 81.7 71.9 ... Zambia Lusaka 2007 90.5 91.6 91.9 22.5 85.5 36.0 95.2 97.3 99.7 59.8 5.3 74.3 61.7 55.5 ... Zambia Lusaka 2008 ...... 63.0 Zambia Lusaka 2013 89.5 98.6 86.4 15.9 87.7 31.9 97.6 98.8 99.8 66.8 3.9 92.7 78.6 33.4 ... Zambia Lusaka 2015 ...... 34.6 Zambia Lusaka 2019 ...... 18.4 Zimbabwe Harare 2005 95.4 99.1 70.0 87.3 98.5 65.5 99.1 99.4 99.7 77.3 19.2 41.8 88.5 86.9 ... Zimbabwe Bulawayo 2005 98.5 99.9 0.0 95.6 99.7 70.9 99.6 99.8 99.7 76.7 35.8 40.2 98.5 97.9 ... Zimbabwe Harare 2010 65.4 92.9 75.4 70.8 94.3 43.6 97.8 97.5 98.9 76.0 8.3 93.0 82.7 76.1 ... Zimbabwe Bulawayo 2010 99.6 100.0 100.0 92.0 97.7 66.9 97.6 98.9 99.2 80.2 23.3 94.6 94.6 91.8 ... Zimbabwe Harare 2015 36.9 97.3 88.2 79.2 97.5 48.5 96.7 95.7 98.7 81.1 5.9 98.1 80.1 76.3 22.6 Zimbabwe Bulawayo 2015 99.1 99.8 90.9 95.0 98.9 66.6 96.6 100.0 99.7 80.9 21.4 96.5 96.2 90.3 ... Egypt Cairo 2000 99.9 100.0 96.1 65.4 67.4 66.0 98.9 ...... 91.4 53.5 ... 100.0 97.9 ... Egypt Alexandria 2000 99.4 99.9 44.3 73.4 77.2 74.1 98.3 ...... 92.4 41.3 ... 98.8 97.4 ... Egypt Port Said 2000 94.8 100.0 100.0 86.7 88.9 86.6 97.8 ...... 95.9 62.1 ... 100.0 97.9 ... Egypt Assiut 2000 99.2 100.0 100.0 21.0 21.6 21.6 86.3 ...... 91.3 19.0 ... 98.7 84.8 ... Egypt Mansurah 2000 99.6 100.0 66.7 61.0 61.4 60.1 97.8 ...... 97.6 42.2 ... 99.5 96.9 ... Egypt Kafr El-Sheikh 2000 98.7 98.7 71.7 49.9 57.7 56.2 97.9 ...... 94.8 47.0 ... 100.0 93.8 ... Egypt Tahta 2000 100.0 100.0 100.0 48.9 63.3 62.1 97.0 ...... 95.9 35.1 ... 99.9 96.1 ... Egypt Damanhur 2000 88.4 96.0 66.4 21.7 23.9 23.4 94.9 ...... 92.6 25.0 ... 99.4 87.5 ... Egypt Giza 2000 98.6 100.0 100.0 58.3 63.8 62.7 99.5 ...... 95.5 52.1 ... 99.2 96.8 ... Egypt Qena 2000 97.9 98.7 92.9 16.5 18.3 18.2 74.5 ...... 88.1 24.4 ... 99.9 91.1 ... Egypt Cairo 2003 99.8 99.8 100.0 72.9 73.4 73.4 99.1 ...... 93.7 74.8 ... 99.9 98.5 ... Egypt Alexandria 2003 99.5 99.9 ... 83.9 84.1 83.7 97.5 ...... 96.8 64.2 ... 99.8 99.1 ... Egypt Assiut 2003 100.0 100.0 100.0 25.1 25.1 25.1 93.3 ...... 93.9 46.6 ... 99.7 95.4 ... Egypt Mansurah 2003 99.1 100.0 100.0 70.4 71.3 71.3 100.0 ...... 99.2 60.5 ... 100.0 99.2 ...

363 Statistical Annex

Table B.2: Continued

Water Sanitation Durable housing Other basic services

Egypt Kafr El-Sheikh 2003 100.0 100.0 100.0 34.9 36.6 36.6 96.6 ...... 97.9 61.7 ... 98.3 98.9 ... Egypt Tahta 2003 100.0 100.0 100.0 62.4 63.5 63.5 98.9 ...... 98.1 55.9 ... 100.0 99.9 ... Egypt Damanhur 2003 100.0 100.0 100.0 49.3 49.3 49.3 100.0 ...... 90.9 45.9 ... 100.0 98.1 ... Egypt Giza 2003 99.6 99.6 100.0 72.2 74.0 74.0 97.2 ...... 96.3 79.2 ... 99.6 99.1 ... Egypt Cairo 2005 99.3 100.0 86.8 75.8 76.4 76.0 99.5 ...... 95.0 83.2 51.3 99.8 99.0 ... Egypt Alexandria 2005 98.9 99.6 100.0 86.1 86.7 84.6 99.7 ...... 96.8 71.9 41.0 99.9 99.1 ... Egypt Port Said 2005 95.8 100.0 91.0 85.7 88.7 88.0 97.2 ...... 97.8 76.9 50.4 99.9 99.8 ... Egypt Suez 2005 100.0 100.0 100.0 77.5 77.5 77.4 99.9 ...... 99.2 80.7 44.4 100.0 99.9 ... Egypt Assiut 2005 100.0 100.0 ... 37.2 38.9 38.2 93.6 ...... 93.8 64.1 28.7 99.0 98.6 ... Egypt Aswan 2005 99.8 99.9 100.0 37.2 39.2 37.6 90.3 ...... 92.5 67.2 22.5 100.0 98.4 ... Egypt Beni Suef 2005 99.4 100.0 ... 37.0 38.2 38.2 89.2 ...... 90.9 62.7 25.9 99.5 95.2 ... Egypt Mansurah 2005 99.8 100.0 ... 66.7 72.8 72.8 99.3 ...... 97.8 56.6 23.8 100.0 99.6 ... Egypt Tahta 2005 100.0 100.0 ... 91.8 92.8 92.1 100.0 ...... 99.7 83.4 51.2 100.0 100.0 ... Egypt Damanhur 2005 100.0 100.0 ... 85.2 85.2 84.1 100.0 ...... 99.4 87.7 52.3 100.0 99.2 ... Egypt Ismailia 2005 100.0 100.0 100.0 77.4 77.4 77.0 99.9 ...... 95.1 71.7 41.1 100.0 99.9 ... Egypt Giza 2005 96.8 100.0 74.3 62.8 66.5 66.3 98.0 ...... 95.0 72.5 37.6 99.8 98.3 ... Egypt Fayoum 2005 100.0 100.0 27.3 38.2 40.6 40.6 89.3 ...... 95.4 57.5 19.4 100.0 98.8 ... Egypt Sawhaj 2005 99.0 100.0 ... 25.5 26.1 26.1 84.6 ...... 90.0 46.9 15.1 100.0 97.9 ... Egypt Qena 2005 99.5 99.8 100.0 45.0 47.5 46.8 88.7 ...... 91.8 77.0 37.9 99.9 98.8 ... Egypt Cairo 2008 99.9 100.0 100.0 81.0 81.9 81.5 99.4 ...... 95.9 65.3 57.0 100.0 ...... Egypt Alexandria 2008 99.6 100.0 100.0 88.4 89.1 88.2 99.5 ...... 96.0 63.5 64.8 99.6 ...... Egypt Port Said 2008 98.4 100.0 81.1 90.4 93.0 93.0 99.1 ...... 98.2 71.5 51.7 100.0 ...... Egypt Suez 2008 99.7 99.7 ... 58.4 59.9 59.9 95.6 ...... 99.8 66.9 44.5 100.0 ...... Egypt Assiut 2008 99.6 100.0 100.0 37.6 41.3 40.9 95.8 ...... 85.0 55.4 45.0 100.0 ...... Egypt Aswan 2008 100.0 100.0 ... 45.4 54.9 53.5 96.1 ...... 98.1 64.2 48.9 99.6 ...... Egypt Beni Suef 2008 100.0 100.0 100.0 37.8 40.9 40.9 83.8 ...... 88.9 48.4 45.5 100.0 ...... Egypt Mansurah 2008 97.7 100.0 100.0 77.5 77.9 77.9 99.1 ...... 98.7 66.8 51.9 100.0 ...... Egypt Kafr El-Sheikh 2008 100.0 100.0 ... 63.1 63.1 61.7 100.0 ...... 99.0 67.8 34.6 100.0 ...... Egypt Tahta 2008 88.3 100.0 100.0 71.2 72.9 72.9 100.0 ...... 98.8 62.5 52.9 100.0 ...... Egypt Damanhur 2008 100.0 100.0 ... 81.3 81.9 81.6 100.0 ...... 98.7 58.9 47.8 100.0 ...... Egypt Ismailia 2008 100.0 100.0 100.0 77.2 81.9 81.9 99.4 ...... 100.0 62.3 62.2 100.0 ...... Egypt Giza 2008 99.5 100.0 100.0 83.0 83.6 83.2 100.0 ...... 96.9 71.5 85.5 100.0 ...... Egypt Sawhaj 2008 98.6 100.0 0.0 39.3 41.0 41.0 85.4 ...... 86.2 60.4 50.2 98.9 ...... Egypt Qena 2008 98.7 100.0 36.8 59.6 63.2 63.0 90.2 ...... 97.5 60.7 48.1 100.0 ...... Egypt Cairo 2012 ...... 86.6 Egypt Cairo 2014 99.1 100.0 100.0 99.8 100.0 98.9 99.5 ...... 94.4 31.6 94.9 100.0 ...... Egypt Alexandria 2014 97.1 100.0 95.6 95.3 99.9 99.6 99.0 ...... 93.9 38.3 96.8 100.0 ...... Egypt Assiut 2014 97.8 100.0 100.0 49.2 99.9 95.1 94.2 ...... 74.3 15.2 95.7 100.0 ...... Egypt Aswan 2014 100.0 100.0 100.0 83.3 100.0 99.4 92.7 ...... 86.6 23.5 90.5 100.0 ...... Egypt Beni Suef 2014 100.0 100.0 ... 87.8 100.0 99.4 96.2 ...... 91.4 9.5 94.7 100.0 ...... Egypt Mansurah 2014 99.8 100.0 100.0 95.8 99.7 98.7 98.2 ...... 94.7 33.9 91.2 100.0 ...... Egypt Kafr El-Sheikh 2014 97.9 100.0 100.0 100.0 100.0 99.5 100.0 ...... 97.3 27.6 96.1 100.0 ...... Egypt Tahta 2014 88.2 100.0 94.7 98.5 100.0 100.0 99.0 ...... 96.2 40.1 94.9 99.9 ...... Egypt Damanhur 2014 99.6 100.0 100.0 93.7 99.4 98.6 100.0 ...... 93.2 26.1 96.2 100.0 ......

364 WORLD CITIES REPORT 2020

Table B.2: Continued

Water Sanitation Durable housing Other basic services

Egypt Giza 2014 98.8 99.9 82.6 97.2 100.0 99.6 99.8 ...... 92.7 25.7 94.9 99.9 ...... Egypt Fayoum 2014 99.5 100.0 100.0 91.6 100.0 98.8 97.6 ...... 93.0 16.7 94.2 99.2 ...... Egypt Sawhaj 2014 99.9 100.0 100.0 76.8 100.0 97.3 95.3 ...... 82.2 28.3 94.1 99.2 ...... Egypt Qena 2014 100.0 100.0 0.0 58.0 100.0 98.2 98.8 ...... 91.6 26.0 94.5 99.5 ...... Morocco Casablanca 2004 99.0 100.0 ... 99.2 99.2 88.7 93.7 ...... 80.6 80.1 ... 99.1 99.6 ... Morocco Rabat 2004 99.6 100.0 ... 99.7 99.7 95.1 87.9 ...... 84.8 69.8 ... 99.2 99.8 ... Morocco Fes 2004 99.1 99.2 ... 99.1 99.4 85.1 94.5 ...... 66.9 59.0 ... 98.1 100.0 ... Morocco Marrakech 2004 98.8 99.7 ... 99.9 99.9 85.2 93.1 ...... 73.6 17.5 ... 98.9 99.6 ... Sudan Khartoum 2014 87.1 95.1 ... 3.6 86.3 18.2 42.1 60.1 54.6 58.2 3.4 94.5 89.3 89.8 ... Sudan East Darfor 2014 73.2 100.0 ... 0.8 20.9 2.3 28.5 37.4 35.7 52.5 0.4 75.0 55.5 5.5 ... Egypt Cairo 2006 99.6 99.6 ... 95.1 97.0 ...... 95.9 69.0 48.7 99.4 4.6 ... Egypt Alexandria 2006 99.9 99.9 ... 82.7 86.8 ...... 98.0 53.5 41.8 99.7 2.7 ... Egypt Damietta 2006 99.9 99.9 ... 94.6 97.2 ...... 99.6 63.1 39.7 99.9 0.6 ... Egypt Dakahlia 2006 100.0 100.0 ... 92.2 93.6 ...... 99.5 59.0 36.0 100.0 2.5 ... Egypt Kaliobia 2006 99.9 99.9 ... 85.5 86.1 ...... 99.4 71.9 42.1 99.8 42.2 ... Egypt Gharbia 2006 99.9 99.9 ... 91.6 93.1 ...... 98.7 62.7 38.2 99.8 0.5 ... Egypt Behera 2006 99.9 99.9 ... 81.6 85.7 ...... 99.2 55.5 30.4 99.8 1.7 ... Egypt Ismailia 2006 100.0 100.0 ... 81.5 82.5 ...... 98.8 64.6 47.5 100.0 1.1 ... Egypt Giza 2006 100.0 100.0 ... 97.3 98.2 ...... 98.0 69.1 48.7 99.6 3.5 ... Egypt Bani Swif 2006 99.5 99.6 ... 43.7 44.7 ...... 97.6 51.9 32.2 99.6 0.5 ... Afghanistan Kabul 2015 32.4 95.4 85.8 16.6 78.7 60.8 82.6 69.9 42.2 0.5 9.3 94.7 96.5 97.9 ... Afghanistan Kandahar 2015 10.2 97.5 39.3 6.7 64.0 56.7 98.3 46.9 23.4 0.6 0.1 97.7 86.2 84.6 ... Bangladesh Dhaka 2004 14.1 99.3 ...... 30.6 ... 38.2 77.3 10.0 0.6 10.0 ... 92.2 23.1 ... Bangladesh Rajshahi 2004 0.0 100.0 ...... 29.2 ... 22.7 43.0 3.5 0.6 5.7 ... 38.1 3.1 ... Bangladesh Dhaka 2007 66.1 100.0 ... 22.2 57.9 35.5 83.0 94.6 100.0 56.6 10.8 67.1 97.0 0.7 ... Bangladesh Rajshahi 2007 28.9 99.5 ... 4.2 66.1 40.9 42.1 65.5 99.5 78.7 7.0 50.4 73.7 9.7 ... Bangladesh Dhaka 2011 67.4 100.0 98.6 20.4 77.0 43.4 83.7 95.8 99.9 71.4 11.4 93.3 97.2 2.6 ... Bangladesh Dhaka 2012 ...... 55.0 Bangladesh Dhaka 2014 48.3 99.9 85.0 20.8 85.4 47.1 77.7 97.5 99.5 71.8 6.0 95.1 94.9 3.3 ... India Mumbai 2006 97.6 99.1 90.5 77.9 95.8 50.7 87.8 97.1 99.3 43.2 39.0 51.8 99.0 79.8 ... India Kolkota 2006 78.8 99.9 94.5 40.1 98.1 47.0 96.7 95.9 98.6 58.2 36.4 46.0 97.7 56.3 ... India New Delhi 2006 85.3 100.0 62.2 73.6 85.1 66.5 96.0 98.2 96.9 55.6 41.8 61.2 99.4 82.6 ... India Hyberabad 2006 88.2 99.9 86.1 52.6 79.2 54.2 60.0 86.8 88.8 41.9 25.6 37.2 91.6 65.9 ... India Pune 2006 92.7 99.5 97.7 41.4 79.0 54.4 64.5 89.5 99.7 40.2 24.4 37.6 97.8 69.0 ... India Kanpur 2006 43.9 99.1 94.9 38.1 81.4 51.0 83.3 94.8 92.9 49.1 21.4 43.1 93.6 65.7 ... India Jaipur 2006 90.1 98.9 50.0 53.2 98.7 65.3 98.4 100.0 99.7 70.5 53.1 56.9 100.0 83.9 ... India Coimbatore 2006 80.1 100.0 90.3 34.0 55.5 33.7 96.3 93.1 89.4 58.0 35.4 53.3 96.8 68.4 ... India Jodhpur 2006 93.2 98.3 82.7 14.6 67.9 49.8 90.4 98.7 92.3 56.6 38.8 40.9 97.1 62.7 ... India Pondichery 2006 82.1 99.6 91.0 6.1 68.2 52.7 64.9 87.3 83.4 49.0 21.9 25.8 96.7 59.2 ... India Akola 2006 93.4 99.4 92.2 11.4 60.0 34.5 54.6 73.4 99.0 40.7 21.3 25.2 93.0 49.0 ... India Kharagpur 2006 73.6 96.6 92.8 1.9 86.9 47.1 88.5 91.2 97.9 62.4 23.1 35.1 90.6 45.7 ... India Gadag-Betigeri 2006 70.4 90.4 85.2 16.8 67.5 52.7 83.0 81.1 93.5 44.9 21.5 31.3 96.1 51.2 ... India Krishnanagar 2006 47.6 100.0 94.4 3.9 82.4 52.3 68.8 84.1 98.8 66.2 21.9 26.8 83.1 37.4 ... India Delhi 2011 ...... 75.0

365 Statistical Annex

Table B.2: Continued

Water Sanitation Durable housing Other basic services

India Bangalore 2012 ...... 75.0 India Surat 2012 ...... 93.0 India Warangal 2012 ...... 95.0 India Mumbai 2016 92.3 98.7 81.0 28.9 83.6 60.3 92.3 94.7 98.4 50.8 8.4 97.7 95.8 87.4 ... India Kolkota 2016 59.3 98.1 92.7 3.9 86.2 62.5 80.5 89.6 89.5 72.4 4.0 94.7 97.4 58.8 ... India New Delhi 2016 75.7 99.7 84.2 57.5 93.0 74.9 96.7 97.8 92.5 60.1 7.3 98.8 99.8 98.1 ... India Hyberabad 2016 64.9 98.1 94.6 8.7 85.4 77.8 75.9 97.0 95.7 61.1 6.0 96.1 99.6 89.8 ... India Jaipur 2016 77.2 98.2 79.4 20.0 85.0 74.1 88.9 96.4 94.1 67.1 7.7 98.4 98.7 78.3 ... India Srinagar 2016 86.6 98.2 87.6 18.9 75.9 67.8 93.2 93.7 98.3 83.6 11.3 98.8 99.7 89.8 ... India Agartala 2016 44.5 98.3 94.4 2.6 95.7 69.6 65.3 65.1 99.6 85.6 7.1 97.1 99.2 67.1 ... Maldives Male 2009 56.9 99.3 34.1 99.2 99.9 97.5 98.8 98.4 99.6 61.3 48.2 99.6 99.9 99.3 ... Maldives Maldives 2012 ...... 38.2 Nepal Kathmandu city 2001 96.7 96.7 85.4 91.5 92.0 49.0 80.2 ...... 31.9 ... 99.3 37.0 ... Nepal Kathmandu 2003 ...... 94.0 Nepal Kathmandu City 2006 60.6 81.8 39.9 67.8 96.6 36.5 92.1 98.6 99.2 63.0 44.1 42.6 100.0 70.0 ... Nepal Ghorai 2009 ...... 83.0 Pakistan Lahore 2009 ...... 77.0 Nepal Kathmandu City 2016 56.2 99.7 94.1 55.8 95.7 55.2 94.4 94.8 14.2 87.8 32.4 97.6 100.0 91.2 ... Pakistan Faisalabad 2012 55.1 98.8 90.4 62.9 94.1 83.0 95.0 98.5 96.0 40.7 15.9 95.8 99.8 84.1 ... Pakistan Islamabad 2012 65.2 98.9 78.7 90.8 97.5 93.8 93.5 96.5 90.2 44.9 22.8 95.4 99.9 91.6 ... Pakistan Balochistan 2012 75.2 97.1 39.3 16.7 88.5 80.4 56.5 58.0 75.4 32.3 14.8 95.7 98.8 56.3 ... Kazakhstan Astana City 2015 65.0 65.1 ... 83.9 100.0 91.1 100.0 94.3 97.2 86.3 78.8 99.1 100.0 99.7 ... Kazakhstan Almaty City 2015 82.9 84.7 ... 64.0 99.8 98.0 99.8 94.3 99.9 96.1 91.8 99.0 99.9 99.8 ... Krygystan Bishkek 2012 99.7 99.9 100.0 47.6 99.5 88.3 82.3 82.1 64.0 87.1 59.8 96.9 99.7 99.7 ... Kyrgyztan Bishkek City 2014 99.9 99.9 ... 46.8 100.0 88.0 99.6 74.2 100.0 82.9 57.7 98.7 100.0 99.8 ... Kyrgyztan Osh City 2014 89.9 92.6 ... 38.3 98.8 94.4 96.9 84.6 99.6 86.1 54.7 99.0 99.9 92.0 ... Tajikistan Dushanbe 2005 89.5 90.5 ... 70.0 92.3 91.2 90.2 83.5 92.8 87.9 61.5 33.7 92.9 92.0 ... Turkmenstein Ashgabat city 2015 60.9 60.9 ... 81.9 100.0 99.0 99.9 99.9 100.0 92.3 92.5 99.2 100.0 99.9 ... Cambodia Phnom penh 2000 76.8 98.0 88.3 82.5 82.5 72.3 80.0 98.5 ...... 43.1 ... 98.2 38.1 ... Cambodia Siem Reap 2000 0.0 58.4 34.4 24.7 24.7 21.6 21.0 82.7 ...... 13.6 ... 54.8 5.0 ... Cambodia Sisophon 2000 22.4 64.8 37.8 9.4 9.4 5.3 11.7 83.9 ...... 6.3 ... 53.8 3.3 ... Cambodia Ta Khmau 2000 0.0 81.0 61.9 0.0 0.0 0.0 23.8 95.1 ...... 20.5 ... 51.3 15.1 ... Cambodia Phnom Penh 2004 81.1 83.3 ... 86.6 87.5 ...... 51.8 4.4 83.6 92.7 56.9 ... Cambodia Siem Reab 2004 17.5 21.3 ... 70.1 71.9 ...... 40.1 3.3 76.7 77.8 28.3 ... Indonesia Jakarta 2002 40.3 89.3 96.1 ... 98.6 ... 97.7 89.0 99.6 ... 47.5 ... 99.9 34.4 ... Indonesia Bandung 2002 17.6 78.8 68.2 ... 87.0 ... 88.1 80.8 99.3 ... 18.9 ... 97.9 12.6 ... Indonesia Surabaja 2002 29.0 86.4 97.4 ... 72.9 ... 94.3 91.3 100.0 ... 27.6 ... 100.0 17.7 ... Indonesia Medan 2002 37.7 73.4 48.7 ... 88.3 ... 95.7 67.5 92.1 ... 28.1 ... 93.4 20.3 ... Indonesia Ujung Pandang 2002 68.9 94.6 90.6 ... 99.3 ... 60.2 56.7 97.0 ... 25.9 ... 100.0 36.2 ... Indonesia Surakarta 2002 15.0 80.5 93.6 ... 71.3 ... 89.0 89.8 99.5 ... 16.7 ... 99.8 13.3 ... Indonesia Pekan Baru 2002 13.1 82.7 82.1 ... 88.5 ... 79.1 56.5 91.5 ... 35.8 ... 97.4 18.2 ... Indonesia Denpasar 2002 51.2 87.1 34.4 ... 95.0 ... 97.3 95.0 99.9 ... 38.9 ... 99.3 51.3 ... Indonesia Purwokerto 2002 21.8 82.2 52.0 ... 72.8 ... 79.8 73.1 99.6 ... 12.5 ... 98.5 9.7 ... Indonesia Kediri 2002 30.4 92.0 49.8 ... 77.6 ... 93.3 89.9 99.6 ... 29.6 ... 99.9 21.3 ...

366 WORLD CITIES REPORT 2020

Table B.2: Continued

Water Sanitation Durable housing Other basic services

Indonesia Jakarta 2007 35.5 95.2 66.4 ... 96.1 81.0 98.3 99.4 99.8 ... 76.3 ... 99.7 37.6 ... Indonesia Bandung 2007 19.4 77.6 35.5 ... 93.6 81.7 93.6 99.9 99.9 ... 62.6 ... 98.5 20.1 ... Indonesia Surabaja 2007 17.5 86.6 54.8 ... 84.5 74.4 91.1 99.5 100.0 ... 58.5 ... 99.3 14.3 ... Indonesia Medan 2007 51.6 82.0 35.2 ... 95.9 86.3 93.2 99.1 97.1 ... 69.2 ... 99.6 25.0 ... Indonesia Palembang 2007 26.2 78.1 53.0 ... 89.3 77.7 77.8 99.4 94.6 ... 57.6 ... 96.2 22.3 ... Indonesia Ujung Pandang 2007 57.6 81.5 71.4 ... 93.7 84.7 66.4 90.5 97.1 ... 68.3 ... 99.3 26.0 ... Indonesia Surakarta 2007 33.9 78.1 40.6 ... 80.2 69.0 88.7 99.9 99.8 ... 51.4 ... 96.6 14.8 ... Indonesia Jakarta 2012 19.2 73.2 62.9 ... 99.3 ... 96.4 98.2 98.5 75.0 26.1 98.0 99.7 90.9 95.0 Indonesia Bandung 2012 12.4 67.3 35.3 ... 90.5 ... 94.1 99.0 99.6 85.0 12.8 93.3 99.5 84.0 ... Indonesia Surabaja 2012 20.8 64.3 46.5 ... 86.2 ... 94.5 98.1 99.6 88.9 8.3 93.0 99.7 77.6 ... Indonesia Medan 2012 23.3 53.9 33.1 ... 96.5 ... 96.4 97.6 98.8 78.9 5.1 95.3 99.4 73.1 ... Indonesia Palembang 2012 38.7 62.2 14.1 ... 94.0 ... 88.6 99.1 98.4 79.9 13.7 95.5 99.8 87.4 ... Indonesia Ujung Pandang 2012 31.0 43.7 17.2 ... 92.1 ... 66.0 85.7 95.8 66.4 15.0 95.2 99.2 78.1 ... Indonesia Surakarta 2012 21.9 73.2 39.4 ... 85.0 ... 93.1 98.3 99.3 91.5 10.0 87.8 99.4 71.8 ... Indonesia Jakarta 2015 ...... 72.0 Indonesia Jakarta 2019 ...... 41.3 Myanmar Naypytaw 2016 10.1 98.7 95.5 1.0 93.8 70.7 62.1 44.7 98.1 76.1 11.8 95.0 95.6 61.8 ... Myanmar Yangon 2016 8.9 95.4 79.9 1.4 78.5 65.9 62.3 66.8 99.1 63.2 12.3 97.1 98.5 75.6 ... Philippines Metro Manila 2003 75.3 99.8 95.2 97.9 98.1 ... 76.5 ...... 64.4 60.8 99.0 ...... Philippines Cebu 2003 64.3 96.6 85.8 84.0 84.7 ... 69.6 ...... 51.3 46.6 90.4 ...... Philippines Cagayan 2003 24.1 92.4 80.6 98.1 98.1 ... 71.0 ...... 37.4 37.4 71.5 ...... Philippines Bacolod 2003 57.6 100.0 99.1 83.6 83.6 ... 74.7 ...... 52.6 50.1 92.0 ...... Philippines Metro Manila 2008 48.8 99.9 95.4 4.2 97.1 77.8 88.9 84.3 99.0 57.2 34.2 88.3 98.1 75.7 ... Philippines Cebu 2008 25.9 99.5 100.0 0.0 85.5 57.8 78.1 71.8 98.6 66.9 24.6 83.1 94.4 41.5 ... Philippines Cagayan 2008 13.1 90.5 77.3 0.0 98.8 70.7 79.3 77.7 93.3 65.4 14.5 80.0 92.1 36.4 ... Philippines Bacolod 2008 51.3 96.2 72.9 4.7 79.6 70.1 73.7 64.4 87.0 73.2 16.6 79.8 86.0 16.6 ... Philippines lahore 2009 ...... 77.0 Philippines Manila 2009 ...... 70.0 Philippines Metro Manila 2013 41.9 100.0 97.7 15.1 94.8 69.0 89.2 83.3 99.6 58.5 21.8 95.6 97.9 79.9 ... Philippines Cebu 2013 13.7 99.8 94.7 2.4 87.1 68.9 81.9 70.9 94.1 69.1 16.6 88.4 89.2 36.6 ... Philippines Cagayan 2013 4.1 100.0 100.0 0.0 98.7 76.9 92.3 91.5 100.0 81.5 13.3 95.9 97.9 66.9 ... Thailand Bangkok 2015 75.1 75.2 ... 21.6 100.0 95.1 78.9 97.2 99.5 87.8 44.8 61.7 99.6 5.5 45.0 Timor Leste Dili 2009 66.5 98.7 81.9 19.4 93.8 73.2 83.2 75.8 99.1 73.4 2.3 87.7 98.6 12.8 ... Timor Leste Dili 2016 50.6 99.0 79.2 0.0 89.5 77.2 90.4 69.6 97.2 77.3 12.6 98.3 98.9 23.2 ... Vietnam Ho Chi Minh 2002 90.6 99.0 0.0 95.8 96.2 ... 99.0 ... 99.4 64.5 73.8 ... 99.8 ...... Vietnam Ha Noi 2002 77.4 100.0 100.0 96.6 96.6 ... 98.3 ... 100.0 76.2 75.1 ... 100.0 ...... Vietnam Hai Phong 2002 97.3 100.0 100.0 90.3 94.3 ... 97.2 ... 98.9 91.0 38.9 ... 100.0 ...... Vietnam Da Nang 2002 88.6 98.9 ... 100.0 100.0 ... 100.0 ... 100.0 66.8 78.7 ... 100.0 ...... Vietnam Ho Chi Minh 2005 53.0 97.9 ... 99.2 99.5 96.3 99.3 99.3 99.8 66.7 75.0 ... 100.0 81.3 ... Vietnam Ha Noi 2005 86.9 99.7 ... 97.4 97.4 87.5 100.0 100.0 99.7 88.7 91.7 ... 100.0 73.6 ... Vietnam Hai Phong 2005 88.1 100.0 ... 92.2 94.9 91.3 98.2 100.0 100.0 84.4 75.5 ... 100.0 47.6 ... Jordan Amman 2002 86.8 99.9 ... 0.9 92.8 ... 100.0 ...... 0.7 66.6 38.7 1.0 99.9 ... Jordan Zarqa 2002 92.3 100.0 ... 0.9 92.4 ... 100.0 ...... 0.7 46.6 37.8 1.0 99.9 ... Jordan Irbid 2002 77.8 100.0 ... 1.0 96.4 ... 100.0 ...... 0.7 58.3 28.0 1.0 99.3 ...

367 Statistical Annex

Table B.2: Continued

Water Sanitation Durable housing Other basic services

Jordan Amman 2007 69.1 99.9 ... 79.6 99.9 95.3 100.0 99.1 ... 0.7 46.5 94.6 98.6 99.9 ... Jordan Balqa 2007 78.3 99.2 ... 76.3 99.7 98.9 99.7 99.6 ... 0.7 37.5 90.1 99.1 100.0 ... Jordan Zarqa 2007 73.1 99.9 ... 69.9 99.9 98.8 99.9 99.6 ... 0.7 29.9 93.4 99.8 100.0 ... Jordan Madaba 2007 84.9 99.7 ... 63.8 100.0 98.9 100.0 100.0 ... 0.6 29.4 91.3 98.8 99.9 ... Jordan Irbid 2007 62.7 99.5 ... 37.4 99.5 97.6 100.0 99.9 ... 0.7 34.8 93.3 99.3 100.0 ... Jordan Mafraq 2007 88.2 99.7 ... 36.3 99.9 95.2 100.0 100.0 ... 0.6 33.2 90.5 99.5 100.0 ... Jordan Jarash 2007 82.3 99.6 ... 36.5 99.6 96.9 100.0 100.0 ... 0.6 24.7 89.9 99.4 100.0 ... Jordan Ajlouon 2007 71.4 99.3 ... 38.8 99.9 97.9 100.0 99.8 ... 0.6 33.4 93.6 99.5 100.0 ... Jordan Karak 2007 88.0 100.0 ... 23.6 99.4 93.1 100.0 96.6 ... 0.6 30.9 90.1 99.6 99.9 ... Jordan Aqaba 2007 97.1 100.0 ... 77.4 98.5 97.6 99.3 99.2 ... 0.6 32.5 94.0 98.6 99.5 ... Jordan Amman 2009 57.3 99.8 ... 81.1 100.0 99.0 100.0 100.0 ... 0.8 33.7 99.1 99.7 99.9 ... Jordan Balqa 2009 70.6 98.5 ... 71.1 100.0 97.0 100.0 99.4 ... 0.6 21.0 97.0 99.4 99.9 ... Jordan Zarqa 2009 68.9 100.0 ... 74.8 100.0 97.9 100.0 99.8 ... 0.7 16.7 98.7 99.5 99.3 ... Jordan Madaba 2009 67.4 100.0 ... 65.0 100.0 97.0 100.0 99.7 ... 0.7 15.8 98.0 99.7 100.0 ... Jordan Irbid 2009 50.0 100.0 ... 41.8 100.0 98.8 100.0 99.7 ... 0.8 19.4 98.5 99.1 100.0 ... Jordan Mafraq 2009 76.5 99.8 ... 36.1 99.9 97.7 100.0 99.8 ... 0.7 16.7 98.6 100.0 99.9 ... Jordan Jarash 2009 65.4 99.5 ... 42.5 100.0 98.7 100.0 98.3 ... 0.6 11.8 97.7 99.9 99.9 ... Jordan Ajlouon 2009 64.0 98.9 ... 43.8 100.0 99.2 100.0 100.0 ... 0.7 16.4 98.2 99.6 99.9 ... Jordan Karak 2009 73.2 100.0 ... 24.3 100.0 98.4 100.0 100.0 ... 0.7 17.8 98.1 99.7 100.0 ... Jordan Amman 2012 51.6 100.0 ... 78.5 100.0 99.8 100.0 99.7 99.7 0.8 28.2 99.4 99.5 100.0 ... Jordan Balqa 2012 65.3 99.3 ... 73.8 100.0 99.6 99.9 99.2 94.5 0.7 15.9 99.0 99.4 100.0 ... Jordan Zarqa 2012 60.4 100.0 ... 85.1 100.0 99.4 99.8 99.9 98.9 0.7 11.2 99.2 99.6 100.0 ... Jordan Madaba 2012 46.5 99.5 ... 71.0 100.0 100.0 100.0 99.8 99.9 0.7 10.5 99.1 99.4 100.0 ... Jordan Irbid 2012 37.7 99.9 ... 43.6 99.6 99.6 100.0 100.0 99.9 0.8 17.2 99.1 99.3 99.8 ... Jordan Mafraq 2012 56.7 100.0 ... 34.1 100.0 100.0 100.0 99.1 98.7 0.7 8.8 99.7 99.0 99.8 ... Jordan Jarash 2012 33.8 99.3 ... 61.9 100.0 99.7 100.0 99.1 92.9 0.7 9.1 98.9 99.8 99.9 ... Jordan Ajlouon 2012 41.6 96.9 ... 43.7 100.0 99.7 100.0 99.4 99.6 0.8 15.2 98.9 99.6 100.0 ... Jordan Karak 2012 58.8 100.0 ... 15.8 100.0 100.0 100.0 99.6 99.3 0.8 13.6 99.6 99.1 100.0 ... Palestine Jerusalem 2014 95.3 95.3 ... 83.7 99.0 98.2 44.8 99.4 99.6 75.5 37.5 72.8 99.7 0.6 ... Palestine Bethlehem 2014 95.2 97.4 ... 28.9 98.3 97.5 62.9 100.0 100.0 79.6 34.2 60.8 100.0 0.4 ... Palestine Hebron 2014 86.6 99.5 ... 36.1 99.7 98.6 58.8 99.2 99.8 74.3 31.5 44.5 99.7 1.0 ... Palestine Gaza 2014 4.3 100.0 ... 98.5 100.0 97.9 74.1 99.9 100.0 68.7 35.6 35.6 99.9 1.6 ... Syrian Arab Republic Damascus 2004 ...... 74.0 Syria Damascus 2006 93.5 93.8 ... 93.0 93.7 89.4 93.6 91.5 93.7 86.9 82.1 69.1 93.8 93.8 ... Syria Aleppo 2006 97.0 99.1 ... 97.8 98.9 97.9 98.6 94.3 99.1 84.0 73.6 70.5 98.6 99.1 ... Turkey Instabul 2004 46.1 93.1 4.2 95.2 99.1 0.4 92.5 ...... 89.3 82.7 82.0 ...... Turkey Anakara 2004 83.8 98.5 29.3 98.3 98.4 2.8 98.3 ...... 93.7 87.3 78.1 ...... Turkey Izmir 2004 61.5 98.3 27.7 99.8 99.8 0.2 83.7 ...... 95.3 85.9 84.0 ...... Turkey Bursa 2004 73.4 96.1 0.0 100.0 100.0 0.0 91.7 ...... 91.7 83.2 83.2 ...... Turkey Adana 2004 90.8 99.3 0.0 89.2 98.4 1.9 97.3 ...... 78.3 79.1 66.9 ...... Yemen Sana’a City 2006 28.6 51.1 ... 52.7 99.5 98.9 95.2 ...... 68.8 61.3 72.5 99.2 97.5 ... Yemen Sanaa 2012 ...... 20.0 Yemen Sana’a 2013 18.4 99.0 35.0 70.9 99.1 97.3 99.1 98.6 56.1 72.2 35.5 96.8 100.0 98.9 ... Yemen Aden 2013 86.8 98.9 ... 81.7 98.0 94.8 95.5 97.6 26.1 48.2 48.5 93.4 99.4 95.9 ...

368 WORLD CITIES REPORT 2020

Table B.2: Continued

Water Sanitation Durable housing Other basic services

Yemen Taiz 2013 0.6 99.6 69.0 68.8 84.2 83.8 98.8 99.3 71.8 38.2 44.7 97.7 100.0 99.5 ... Armenia Yerevan 2000 99.4 99.4 30.9 92.1 92.7 84.4 68.4 ...... 81.3 ... 99.4 96.5 ... Armenia Yerevan 2005 99.5 99.5 11.7 98.8 99.7 97.9 86.0 ...... 0.9 0.9 0.6 1.0 99.9 ... Armenia Yerevan 2010 99.8 100.0 100.0 99.3 99.7 98.4 90.5 99.1 99.4 0.9 95.8 94.0 99.7 99.9 ... Armenia All Cities 2012 ...... 75.9 Armenia Yerevan 2016 99.9 100.0 ... 98.1 99.0 98.4 94.8 94.3 99.7 0.9 90.7 98.0 100.0 100.0 ... Azerbaijan Baku 2006 88.7 99.5 81.6 88.1 98.4 85.1 29.0 97.5 99.8 79.6 86.2 77.5 99.5 99.9 ... Austria Liezen 2001 100 100 ... 100 100 100 ...... 100 ...... Austria Bludenz-Bregenzer 2001 100 100 ... 100 100 100 ...... 100 ...... Wald Austria Sankt Pölten 2001 100 100 ... 100 100 100 ...... 99.89 ...... Austria Steyr-Kirchdorf 2001 100 100 ... 100 100 100 ...... 99.85 ...... Austria Klagenfurt-Villach 2001 100 100 ... 100 100 100 ...... 99.87 ...... Austria Innsbruck 2001 100 100 ... 100 100 100 ...... 99.77 ...... Austria Salzburg und 2001 100 100 ... 100 100 100 ...... 99.76 ...... Umgebung Austria Graz 2001 100 100 ... 100 100 100 ...... 99.84 ...... Austria Linz-Wels 2001 100 100 ... 100 100 100 ...... 99.95 ...... Austria Wien 2001 100 100 ... 100 100 100 ...... 99.05 ...... Austria Vienna 2015 ...... 100.0 Switzerland Glarus 2000 ...... 99.78 ...... Switzerland Schaffhausen 2000 ...... 100 ...... Switzerland Zug 2000 ...... 99.82 ...... Switzerland Schwyz 2000 ...... 99.71 ...... Switzerland Basel-Stadt (Basel- 2000 ...... 99.54 ...... City) Switzerland Neuchatel 2000 ...... 99.44 ...... Switzerland Fribourg 2000 ...... 99.83 ...... Switzerland Solothurn 2000 ...... 99.82 ...... Switzerland Luzern (Lucerne) 2000 ...... 99.85 ...... Switzerland Geneva 2000 ...... 99.37 ...... Switzerland St. Gallen (St. Gall) 2000 ...... 99.78 ...... Switzerland Bern 2000 ...... 99.75 ...... Switzerland Zurich 2000 ...... 99.65 ...... Switzerland Zurich 2015 ...... 99.5 Moldova Chisinau 2005 89.4 99.5 ... 90.0 97.4 89.0 93.3 99.6 99.0 1.0 94.5 26.4 99.7 99.8 ... Ukraine A.R of Cremia 2007 92.2 99.9 ... 65.2 99.7 96.0 53.7 99.7 97.8 97.6 58.8 79.9 99.9 99.7 ... Ukraine Vinnytza 2007 69.8 96.0 ... 62.9 100.0 95.3 88.5 97.7 98.9 96.2 69.1 84.5 100.0 100.0 ... Ukraine Kyiv 2007 65.1 99.1 ... 65.7 99.4 95.0 82.6 97.5 99.8 96.3 65.8 87.6 100.0 100.0 ... Ukraine Lviv 2007 87.5 100.0 ... 88.0 99.8 99.8 99.8 100.0 100.0 95.9 74.1 87.3 100.0 100.0 ... Argentina Buenos Aires 2001 98.0 98.2 ... 94.8 98.2 ... 97.8 97.1 97.0 93.9 85.2 45.2 ... 97.9 ... Argentina La Rioja 2001 97.5 99.4 ... 46.9 99.4 ... 93.3 97.0 89.0 80.7 43.6 23.5 ... 96.9 ... Argentina Mendoza 2001 98.0 99.2 ... 68.0 99.2 ... 96.3 97.4 90.0 87.5 54.4 31.8 ... 98.6 ... Argentina San Juan 2001 96.9 99.5 ... 21.2 99.5 ... 91.0 97.8 68.3 81.7 46.5 26.2 ... 97.8 ... Argentina San Luis 2001 98.0 99.3 ... 50.4 99.3 ... 96.8 97.3 96.9 86.1 44.2 32.1 ... 98.5 ...

369 Statistical Annex

Table B.2: Continued

Water Sanitation Durable housing Other basic services

Argentina Santa Cruz 2001 98.2 98.7 ... 72.8 98.7 ... 95.2 84.3 97.4 89.9 61.1 40.5 ... 98.6 ... Argentina Santa Fe 2001 97.0 99.1 ... 43.0 99.1 ... 96.6 96.1 96.8 86.7 59.6 27.8 ... 98.0 ... Argentina Buenos Aires 2010 ...... 96.0 Argentina Córdoba 2011 93.8 99.6 ...... 98.67 ...... 93.32 53.64 84.98 84.98 ...... Argentina Neuquén 2011 99.0 99.7 ...... 99.48 ...... 92.18 55.11 95.2 95.2 ...... Argentina Formosa 2011 88.7 91.7 ...... 91.68 ...... 84.07 32.64 89.19 89.19 ...... Argentina Catamarca 2011 98.3 99.8 ...... 96.02 ...... 89.11 43.02 86.2 86.2 ...... Argentina Corrientes 2011 96.1 99.2 ...... 95.37 ...... 84.51 33.22 90.95 90.95 ...... Argentina La Rioja 2011 98.4 98.7 ...... 96.98 ...... 85.77 34.18 92.53 92.53 ...... Argentina Salta 2011 98.0 98.2 ...... 89.7 ...... 80.17 38.77 76.5 76.5 ...... Argentina San Juan 2011 98.7 99.4 ...... 94.89 ...... 85.74 38.51 90.68 90.68 ...... Argentina Santiago Del Estero 2011 97.6 99.2 ...... 93.05 ...... 90.23 33.7 90.94 90.94 ...... Argentina Buenos Aires 2011 70.7 97.6 ...... 98.34 ...... 91.98 63.07 89.93 89.93 ...... Argentina Buenos Aires 2015 ...... 82.3 Argentina Buenos Aires 2019 ...... 71.2 Belize Corozal 2006 0.0 96.7 45.8 0.0 98.6 92.56 95.81 93.49 100 94.88 42.33 77.21 99.53 94.88 ... Belize Belize 2006 27.9 99.7 32.1 45.4 97.2 90.68 89.17 83.93 99.38 87.08 52.53 72.48 99.02 97.21 ... Belize Corozal 2011 0.5 98.1 93.3 0.0 100 97.82 94.87 97.2 98.32 95.38 25.61 89.98 98.9 97.42 ... Belize Belize (Excluding 2011 10.3 99.8 75.6 28.2 99.69 95.08 64.74 85.1 97.93 88.25 36.52 95.72 98.31 98.77 ... Belize City South Side) Belize Belize City South 2011 30.5 99.8 100.0 47.4 95.12 89.72 50.32 82.47 99.68 89.9 28.99 94.09 97.12 99.15 ... Side Belize Belmopan 2012 ...... 45.1 Belize Corozal 2015 2.0 96.1 25.1 5.4 99.16 96.61 93.99 94.43 99.68 89.11 18.58 96.05 97.69 93.97 ... Belize Belize (Excluding 2015 3.1 98.8 100.0 26.2 99.83 96.03 73.85 87.95 99.97 89.43 22.82 97.32 99.2 100 ... Belize City South Side) Belize Belize City South 2015 23.2 95.0 28.2 46.0 96.61 92.64 53.87 71.84 99.08 86.27 14.99 97.45 98.31 98.25 ... SIde Bolivia Llano 2000 88.8 91.5 14.3 52.8 73.12 ... 97.96 ...... 58.48 ...... Bolivia Valle 2000 86.8 98.4 26.9 79.4 80.21 ... 99.67 ...... 61.79 ...... Bolivia Altiplano 2000 96.8 97.8 49.0 74.8 81.36 ... 99.78 ...... 67.18 ...... Bolivia Chuquisaca 2001 86.2 90.6 ... 76.5 76.5 ...... 37.8 ...... 84.8 ... Bolivia La Paz 2001 88.9 93.8 ... 71.8 71.8 ...... 35.4 ...... 91.0 ... Bolivia Cochabamba 2001 73.0 95.1 ... 84.2 84.2 ...... 43.8 ...... 87.6 ... Bolivia Oruro 2001 91.5 94.6 ... 57.4 57.4 ...... 35.0 ...... 93.0 ... Bolivia Potosí 2001 92.5 95.3 ... 70.7 70.7 ...... 27.8 ...... 94.0 ... Bolivia Tarija 2001 93.5 95.3 ... 88.2 88.2 ...... 36.8 ...... 85.6 ... Bolivia Santa Cruz 2001 92.7 96.3 ... 92.9 92.9 ...... 38.9 ...... 83.9 ... Bolivia Beni 2001 49.4 90.5 ... 88.1 88.1 ...... 21.3 ...... 52.5 ... Bolivia Pando 2001 77.3 91.6 ... 87.1 87.1 ...... 27.0 ...... 86.8 ... Bolivia La Paz 2004 87.7 90.1 43.1 54.7 54.7 19.0 79.1 43.7 8.8 59.7 20.5 33.2 94.3 91.7 ... Bolivia Sucre 2004 96.3 97.2 52.3 83.7 83.7 29.5 94.2 48.5 64.1 65.6 42.6 25.9 95.0 93.0 ... Bolivia Cochabamba 2004 83.1 97.6 60.2 65.8 65.8 15.9 92.7 64.4 35.6 72.2 44.2 32.8 97.2 94.6 ... Bolivia Oruro 2004 93.2 94.2 66.6 58.8 58.8 20.2 92.3 20.8 14.1 59.4 37.6 25.0 96.7 96.7 ... Bolivia Potosi 2004 96.3 96.4 61.8 71.5 71.5 29.6 89.7 12.3 22.5 57.3 24.1 18.8 97.2 98.4 ...

370 WORLD CITIES REPORT 2020

Table B.2: Continued

Water Sanitation Durable housing Other basic services

Bolivia Tarija 2004 96.8 97.4 32.1 72.2 72.2 27.7 90.4 77.3 47.2 65.3 34.7 34.2 92.2 88.5 ... Bolivia Santa Cruz 2004 95.6 96.0 42.5 48.3 48.3 11.4 89.1 90.5 73.1 60.4 27.6 48.5 92.1 87.2 ... Bolivia Trinidad 2004 59.5 65.2 24.2 33.8 33.8 5.5 46.0 72.1 55.9 52.7 19.1 23.0 82.2 63.0 ... Bolivia Cobija 2004 86.5 86.5 21.4 40.0 40.0 8.2 44.3 99.2 25.0 65.9 21.2 36.3 85.7 92.2 ... Bolivia La Paz 2008 97.8 97.9 0.0 75.4 82.7 56.6 53.1 99.8 99.7 71.0 29.9 80.6 98.7 97.5 68.3 Bolivia Sucre 2008 93.4 98.5 64.6 71.6 73.0 50.0 85.9 100.0 98.2 67.2 32.7 68.7 97.3 91.4 ... Bolivia Cochabamba 2008 83.0 98.1 76.9 63.7 82.4 61.4 89.6 99.4 98.8 72.7 41.3 77.8 98.6 94.0 ... Bolivia Oruro 2008 96.3 97.3 43.3 65.1 68.8 48.2 67.5 99.4 98.2 67.5 44.2 73.7 96.9 98.2 ... Bolivia Potosi 2008 97.6 97.8 11.3 78.6 81.2 51.2 71.1 99.4 97.8 61.7 23.0 76.4 97.8 98.9 ... Bolivia Tarija 2008 99.5 99.7 38.4 74.3 88.6 62.9 93.0 97.8 99.2 75.5 32.9 84.3 95.7 93.3 ... Bolivia Santa Cruz 2008 98.9 99.0 0.0 22.7 78.1 55.2 92.7 95.0 97.6 65.9 25.7 86.4 97.6 92.9 ... Bolivia Trinidad 2008 63.2 66.4 6.5 18.4 67.2 48.2 44.4 59.8 81.0 56.7 13.8 65.6 90.5 71.4 ... Bolivia Cobija 2008 85.5 87.1 5.3 31.2 78.1 62.2 44.9 37.2 96.0 75.9 24.5 88.2 96.2 92.4 ... Colombia Bogota 2000 100.0 100.0 ... 100.0 100.0 77.6 95.8 ...... 87.2 81.8 ... 99.7 96.3 ... Colombia Neiva 2000 100.0 100.0 ... 94.3 98.9 80.5 98.1 ...... 86.4 71.7 ... 99.0 91.8 ... Colombia Valledupar 2000 99.6 99.6 ... 99.4 100.0 78.1 99.7 ...... 75.5 57.6 ... 99.7 97.4 ... Colombia Medellin 2000 99.5 99.5 ... 94.9 96.8 92.6 98.5 ...... 87.7 80.9 ... 99.5 96.9 ... Colombia Barranquilla 2000 96.8 97.0 0.0 61.1 89.5 73.1 96.8 ...... 74.6 43.4 ... 98.4 94.9 ... Colombia Cartagena 2000 86.7 98.6 41.9 69.8 82.9 72.3 90.8 ...... 72.3 56.0 ... 100.0 96.0 ... Colombia Tunja 2000 99.3 99.3 0.0 97.1 97.5 80.4 98.1 ...... 93.4 59.0 ... 99.3 88.2 ... Colombia Manizales 2000 100.0 100.0 ... 98.1 98.1 79.7 87.9 ...... 89.8 73.6 ... 100.0 95.3 ... Colombia Popayan 2000 99.6 99.6 ... 98.5 99.1 68.4 91.0 ...... 72.3 62.4 ... 99.6 90.3 ... Colombia Monteria 2000 94.8 99.1 91.5 35.0 89.1 81.3 78.0 ...... 80.0 28.0 ... 99.0 84.2 ... Colombia Santa Marta 2000 99.6 99.6 0.0 65.1 83.2 77.4 85.1 ...... 64.0 47.2 ... 99.2 93.6 ... Colombia Cucuta 2000 99.5 99.5 0.0 92.7 93.3 82.0 97.2 ...... 76.4 64.8 ... 100.0 96.3 ... Colombia Pereira 2000 100.0 100.0 ... 96.4 96.4 83.0 93.4 ...... 94.1 83.0 ... 100.0 98.9 ... Colombia Bucaramanga 2000 100.0 100.0 ... 94.4 94.4 72.5 96.9 ...... 83.5 74.8 ... 100.0 96.0 ... Colombia Ibague 2000 100.0 100.0 ... 99.3 100.0 77.8 96.9 ...... 77.8 62.1 ... 98.5 87.3 ... Colombia Cali 2000 90.9 90.9 ... 97.3 97.4 73.6 94.3 ...... 87.5 72.6 ... 99.8 95.6 ... Colombia Bello 2001 ...... 97.0 Colombia Bogotá 2001 ...... 78.0 Colombia Bucaramanga 2001 ...... 67.0 Colombia Buenaventura 2001 ...... 86.0 Colombia Buga 2001 ...... 74.0 Colombia Cali 2001 ...... 77.0 Colombia Cartagena 2001 ...... 74.0 Colombia Cúcuta 2001 ...... 86.0 Colombia Dosquebradas 2001 ...... 84.0 Colombia Itagüí 2001 ...... 88.0 Colombia Medellín 2015 ...... 80.6 Colombia Neiva 2001 ...... 84.0 Colombia Pereira 2001 ...... 81.0 Colombia Bogota 2005 96.9 99.8 28.8 99.5 99.9 16.0 75.5 99.1 ... 87.7 83.7 ... 99.6 97.8 ... Colombia Neiva 2005 99.1 99.3 0.0 97.3 98.8 15.1 43.3 85.6 ... 84.7 66.7 ... 98.7 90.7 ...

371 Statistical Annex

Table B.2: Continued

Water Sanitation Durable housing Other basic services

Colombia Valledupar 2005 91.4 99.0 0.0 80.3 91.6 14.8 17.4 95.4 ... 67.3 45.2 ... 97.5 93.3 ... Colombia Medellin 2005 91.5 97.3 26.7 95.5 98.9 6.2 61.5 91.5 ... 86.8 83.2 ... 98.9 96.3 ... Colombia Barranquilla 2005 87.2 95.9 28.0 78.4 95.0 13.8 48.5 97.8 ... 75.1 44.4 ... 99.6 94.6 ... Colombia Cartagena 2005 83.5 95.3 31.6 58.9 91.9 9.2 44.9 91.4 ... 73.0 49.8 ... 99.8 93.3 ... Colombia Tunja 2005 89.5 98.6 0.0 96.9 99.4 11.6 64.8 90.5 ... 89.3 64.0 ... 99.7 87.6 ... Colombia Manizales 2005 99.5 99.5 ... 99.8 99.8 3.8 64.1 76.8 ... 92.7 71.8 ... 99.6 98.3 ... Colombia Popayan 2005 80.3 99.1 64.8 93.7 95.8 13.9 60.2 82.7 ... 86.1 66.2 ... 97.2 88.8 ... Colombia Monteria 2005 63.8 92.8 43.1 54.0 94.3 13.0 22.5 89.0 ... 73.1 55.2 ... 99.1 86.7 ... Colombia Riohacha 2005 66.5 95.8 36.5 75.9 96.4 8.9 24.8 93.7 ... 73.2 52.5 ... 98.9 91.7 ... Colombia Santa Marta 2005 79.7 96.1 0.0 63.5 93.8 12.6 27.7 91.9 ... 67.7 49.8 ... 98.7 85.3 ... Colombia Villavicencio 2005 71.6 87.2 0.0 98.2 99.3 17.4 49.2 97.2 ... 83.3 69.2 ... 99.3 97.2 ... Colombia Cucuta 2005 96.3 98.7 0.0 92.4 97.6 10.4 58.0 88.7 ... 80.2 57.5 ... 99.7 95.1 ... Colombia Armenia 2005 97.7 99.9 0.0 99.0 99.9 8.4 69.8 90.1 ... 92.2 70.6 ... 98.1 97.7 ... Colombia Pereira 2005 97.9 100.0 ... 99.3 99.8 10.3 62.2 76.5 ... 90.4 75.9 ... 99.4 98.1 ... Colombia Bucaramanga 2005 95.9 98.6 0.0 94.0 97.3 12.5 64.4 93.0 ... 90.5 78.1 ... 99.9 94.8 ... Colombia Sincelenjo 2005 89.4 97.9 43.7 84.3 94.7 11.3 31.6 80.9 ... 71.9 54.4 ... 99.3 84.1 ... Colombia Ibague 2005 98.3 99.4 0.0 98.7 99.8 13.0 42.6 92.0 ... 84.0 64.2 ... 99.1 95.4 ... Colombia Cali 2005 98.3 99.8 34.1 97.8 98.7 16.9 69.6 92.9 ... 88.7 73.3 ... 99.9 97.2 ... Colombia Bogotá 2005 92.8 93.5 ... 99.3 99.5 ... 99.3 98.6 ... 94.8 89.4 ... 99.4 5.7 ... Colombia Cordoba 2005 71.8 94.8 ... 90.3 92.2 ... 76.3 85.9 ... 84.6 44.4 ... 98.1 3.3 ... Colombia Cundinamarca 2005 92.2 97.1 ... 98.0 99.4 ... 98.1 95.0 ... 92.2 62.0 ... 98.5 1.7 ... Colombia Chocó 2005 15.3 91.3 ... 48.6 63.7 ... 93.7 57.3 ... 90.8 31.2 ... 87.7 22.8 ... Colombia Huila 2005 95.0 95.6 ... 96.1 97.9 ... 94.2 85.8 ... 92.9 59.2 ... 97.1 2.3 ... Colombia Santander 2005 95.8 97.5 ... 97.4 98.4 ... 97.6 92.2 ... 95.2 78.3 ... 98.3 1.9 ... Colombia Sucre 2005 84.5 97.7 ... 86.7 87.8 ... 74.8 84.9 ... 83.6 39.1 ... 98.2 3.2 ... Colombia Tolima 2005 94.1 95.4 ... 97.8 98.9 ... 96.6 92.6 ... 91.5 56.7 ... 97.9 1.7 ... Colombia Valle 2005 95.5 97.7 ... 97.3 99.1 ... 98.5 94.0 ... 94.2 72.2 ... 98.7 14.5 ... Colombia Medellín 2005 92.9 93.9 ... 98.3 99.1 ... 98.9 89.8 ... 94.7 91.6 ... 98.8 43.6 ... Colombia Bello 2005 95.4 96.1 ... 98.0 99.6 ... 99.7 96.1 ... 96.8 92.7 ... 98.7 48.4 ... Colombia Envigado 2005 95.6 95.7 ... 99.7 99.8 ... 99.6 95.8 ... 98.2 98.5 ... 99.8 32.7 ... Colombia Itaguí 2005 99.6 99.6 ... 99.6 99.9 ... 100.0 97.8 ... 97.1 96.6 ... 99.5 45.6 ... Colombia Barranquilla 2005 96.6 98.8 ... 96.1 97.0 ... 96.5 97.2 ... 91.8 53.5 ... 98.9 7.5 ... Colombia Soledad 2005 78.6 92.2 ... 94.4 95.4 ... 96.3 98.3 ... 93.0 36.4 ... 98.8 7.1 ... Colombia Bogotá D. C. 2005 92.8 93.5 ... 99.3 99.5 ... 99.3 98.6 ... 94.8 89.4 ... 99.4 5.7 ... Colombia Neiva 2005 96.9 97.4 ... 97.6 98.9 ... 96.4 93.7 ... 93.4 79.1 ... 97.5 4.0 ... Colombia Barrancabermeja 2005 96.9 99.2 ... 94.3 97.5 ... 93.9 91.7 ... 92.2 65.4 ... 99.3 4.5 ... Colombia Bogota 2010 98.6 99.9 0.0 99.4 99.8 8.0 78.6 99.2 ... 93.2 74.3 ... 99.5 99.0 ... Colombia Neiva 2010 97.1 100.0 ... 97.0 99.2 9.9 45.6 89.7 ... 86.6 39.5 ... 99.4 96.0 ... Colombia Valledupar 2010 94.9 97.9 ... 88.3 96.4 7.5 26.8 91.9 ... 75.4 23.3 ... 98.4 94.1 ... Colombia Medellin 2010 96.1 98.8 20.7 94.0 99.1 3.8 67.3 94.0 ... 91.8 79.1 ... 99.8 98.8 ... Colombia Barranquilla 2010 95.1 99.9 93.0 80.3 97.0 11.3 48.6 98.2 ... 83.7 35.8 ... 99.7 97.4 ... Colombia Cartagena 2010 83.1 95.7 63.1 68.9 92.0 10.2 45.3 90.0 ... 75.4 26.5 ... 99.6 94.4 ... Colombia Tunja 2010 85.8 99.0 100.0 99.2 100.0 8.5 72.2 95.9 ... 91.6 23.0 ... 99.1 97.6 ... Colombia Manizales 2010 97.8 99.7 0.0 98.3 99.6 7.9 57.9 78.3 ... 93.3 45.7 ... 100.0 98.1 ...

372 WORLD CITIES REPORT 2020

Table B.2: Continued

Water Sanitation Durable housing Other basic services

Colombia Popayan 2010 88.6 98.0 0.0 93.2 99.0 13.7 60.3 85.9 ... 92.2 31.2 ... 99.4 96.3 ... Colombia Monteria 2010 73.9 93.1 26.5 43.8 94.8 11.2 22.2 83.4 ... 76.2 23.4 ... 99.5 85.4 ... Colombia Quibdo 2010 32.7 99.9 97.9 29.9 74.9 5.4 28.9 68.3 ... 89.3 22.1 ... 92.7 84.0 ... Colombia Riohacha 2010 67.5 98.8 27.3 73.0 92.0 6.0 24.9 84.8 ... 71.0 14.6 ... 99.4 86.3 ... Colombia Santa Marta 2010 79.5 93.2 36.1 60.7 94.1 8.2 30.5 94.7 ... 74.9 19.6 ... 99.8 91.9 ... Colombia Villavicencio 2010 59.4 94.9 26.6 97.1 99.6 12.3 52.7 96.2 ... 87.9 27.6 ... 99.1 96.5 ... Colombia Cucuta 2010 94.3 97.7 ... 93.0 98.6 11.0 55.3 91.0 ... 80.4 34.5 ... 99.3 96.0 ... Colombia Armenia 2010 97.2 100.0 ... 97.7 99.5 6.3 64.3 92.9 ... 92.9 37.6 ... 98.6 98.5 ... Colombia Pereira 2010 94.5 99.3 0.0 98.1 100.0 8.8 69.5 91.4 ... 93.0 57.5 ... 99.5 98.5 ... Colombia Bucaramanga 2010 97.2 98.9 ... 95.9 99.0 12.1 68.4 92.3 ... 92.2 51.0 ... 99.2 96.6 ... Colombia Sincelenjo 2010 77.2 95.3 72.6 70.1 91.1 8.3 25.9 79.9 ... 69.6 21.8 ... 99.4 82.8 ... Colombia Ibague 2010 93.4 98.9 13.9 94.0 96.9 7.8 37.4 91.7 ... 87.1 39.6 ... 99.3 93.9 ... Colombia Cali 2010 96.2 98.6 10.1 95.4 97.8 10.7 70.4 94.2 ... 92.6 52.6 ... 99.3 97.9 ... Colombia Bogota 2015 95.2 99.8 58.1 99.9 100.0 93.2 87.8 99.0 ... 97.0 67.8 98.4 99.9 99.5 ... Colombia Neiva 2015 95.5 99.4 ... 95.8 98.4 94.0 61.3 91.9 ... 96.0 32.0 99.5 99.7 98.7 ... Colombia Valledupar 2015 98.3 99.3 ... 90.3 97.7 94.0 38.0 94.0 ... 82.4 20.0 97.0 99.2 98.0 ... Colombia Medellin 2015 95.6 99.4 31.2 96.0 98.6 96.2 75.2 95.3 ... 95.1 71.5 96.6 99.9 99.6 ... Colombia Barranquilla 2015 98.0 99.7 0.0 93.3 98.4 86.9 63.7 97.7 ... 86.1 42.9 97.0 99.8 98.6 ... Colombia Cartagena 2015 87.8 95.3 60.6 67.5 95.4 88.1 54.7 90.3 ... 88.1 30.4 97.4 99.8 96.8 ... Colombia Tunja 2015 76.1 99.8 0.0 99.5 100.0 94.0 78.3 96.1 ... 95.9 18.2 99.1 100.0 97.3 ... Colombia Manizales 2015 97.0 99.5 0.0 99.7 100.0 98.8 75.6 92.3 ... 98.3 42.6 98.8 99.3 99.2 ... Colombia Popayan 2015 94.2 99.4 0.0 93.5 99.1 87.2 58.9 89.1 ... 95.0 21.5 98.2 99.7 97.2 ... Colombia Monteria 2015 62.8 97.9 54.2 70.8 98.5 92.2 31.8 90.0 ... 89.0 13.4 97.7 100.0 96.5 ... Colombia Riohacha 2015 38.3 99.2 88.3 84.3 97.7 94.9 48.1 92.4 ... 82.7 21.0 98.1 100.0 95.4 ... Colombia Santa Marta 2015 64.8 97.1 74.5 68.7 97.0 92.3 32.3 96.1 ... 77.9 12.6 97.7 98.4 96.0 ... Colombia Villavicencio 2015 57.3 98.3 ... 99.4 100.0 95.4 67.2 95.3 ... 95.8 21.5 99.3 99.7 99.0 ... Colombia Cucuta 2015 93.1 99.0 ... 97.9 99.4 95.2 71.8 94.5 ... 91.3 35.6 97.4 99.9 98.4 ... Colombia Armenia 2015 96.0 100.0 ... 99.5 100.0 97.4 73.2 93.4 ... 97.9 35.4 98.8 99.7 99.1 ... Colombia Pereira 2015 98.7 99.9 ... 96.6 99.2 95.4 77.5 93.7 ... 97.7 41.6 98.7 99.7 99.6 ... Colombia Bucaramanga 2015 97.0 99.7 0.0 98.7 99.8 93.3 85.2 97.1 ... 97.4 65.8 97.6 100.0 99.3 ... Colombia Sincelenjo 2015 93.1 97.9 43.7 74.4 97.0 91.5 42.6 86.7 ... 88.7 19.6 97.8 99.5 93.9 ... Colombia Ibague 2015 90.6 99.8 0.0 98.1 98.8 90.4 52.9 94.1 ... 92.1 46.1 97.4 99.5 97.6 ... Colombia Cali 2015 97.0 99.4 58.6 96.3 98.5 93.3 80.9 96.4 ... 96.0 51.0 97.7 99.8 99.0 ... Costa Rica San Jose 2000 98.5 98.6 ... 83.5 96.5 ... 96.8 ...... 98.0 ...... 98.7 97.5 ... Costa Rica San Jose 2002 ...... 73.0 Costa Rica Cartago 2011 99.5 100.0 ... 16.3 98.29 96.23 92.04 93.01 98.42 98.46 69.94 92.52 99.94 99.11 ... Costa Rica Heredia 2011 99.9 100.0 ... 14.7 97.26 92.03 98.08 96.49 99.96 97.03 74.9 94.44 100 99.17 ... Costa Rica Alajuela 2011 99.9 99.9 ... 18.2 95 93.72 97.55 96.7 95.21 99.04 71.13 94.48 99.51 98.26 ... Costa Rica Puntarenas 2011 98.8 99.8 0.0 12.8 98.05 96.42 95.47 85.38 99.7 87.65 51.84 93.46 99.86 98.09 ... Costa Rica San José 2011 99.5 99.5 ... 48.4 97.25 95.67 91.94 88.88 96.54 94.06 60.71 95.04 99.8 99.69 ... Costa Rica Limón 2011 99.1 100.0 ... 14.4 98.26 94.88 92.37 93.87 99.82 91.51 50.11 94.32 99.21 98.96 ... Costa Rica San Jose 2011 ... 99.7 ... 80.4 95.4 ... 98.3 71.8 99.1 97.8 63.3 94.4 99.9 72.5 ... Cuba Occidente 2006 96.2 99.8 57.6 47.3 97.13 94.47 ...... Cuba Camagüey 2004 ...... 81.0

373 Statistical Annex

Table B.2: Continued

Water Sanitation Durable housing Other basic services

Cuba Ciego de Ávila 2004 ...... 78.3 Cuba Centro 2006 65.6 98.5 31.9 44.1 94.46 88.99 ...... Cuba Oriente 2006 75.2 95.9 59.2 47.5 97.37 90.9 ...... Cuba Oriente 2010 82.6 97.9 88.7 49.2 97.65 90.76 ...... Cuba Occidente 2010 85.8 99.4 95.9 48.7 97.57 95.54 ...... Cuba Centro 2010 71.1 97.6 92.0 41.7 90.51 88.34 ...... Cuba Bayamo 2012 ...... 75.6 Cuba Havana 2012 ...... 76.4 Cuba Oriente 2014 75.7 93.8 74.3 47.1 95.67 88.64 ...... Cuba Centro 2014 77.4 99.7 98.9 45.4 93.54 90.08 ...... Cuba Occidente 2014 96.2 99.8 94.4 53.9 97.95 95.55 ...... Cuba La Habana 2014 98.9 100.0 99.6 89.1 96.36 92.91 ...... Dominican Republic Azua 2002 58.4 100.0 8.0 45.6 89.8 76.4 92.0 95.1 22.8 67.1 29.3 ... 98.3 83.9 ... Dominican Republic Barahona 2002 66.2 99.2 25.8 40.0 87.5 74.1 91.5 87.8 15.8 66.5 32.3 ... 98.7 86.2 ... Dominican Republic San Francisco de 2002 19.3 99.2 8.1 61.7 94.2 88.7 98.6 95.1 33.0 90.2 42.8 ... 99.6 96.9 ... Macoris Dominican Republic Higuey 2002 4.3 98.4 8.7 64.7 89.7 78.7 98.8 89.3 34.3 72.1 48.2 ... 98.7 95.3 ... Dominican Republic La Romana 2002 8.2 97.6 9.9 60.0 83.6 67.8 96.5 91.0 34.0 71.3 46.0 ... 98.4 95.2 ... Dominican Republic La Vega 2002 41.3 93.9 12.8 67.9 93.2 86.0 97.5 93.4 31.5 84.7 45.1 ... 99.3 96.4 ... Dominican Republic Santiago 2002 45.7 99.9 14.5 82.5 90.9 87.4 97.5 98.5 39.2 84.4 51.4 ... 99.3 96.2 ... Dominican Republic Santo Domingo 2007 9.0 99.8 88.7 86.6 96.4 89.1 98.4 95.7 58.7 86.8 42.1 82.3 99.0 97.8 89.0 Dominican Republic Azua 2007 51.4 97.7 90.8 44.4 93.4 75.0 94.9 95.4 19.7 78.4 16.9 47.9 99.3 79.2 ... Dominican Republic Barahona 2007 57.5 99.8 87.7 47.9 87.5 74.6 95.4 93.7 22.1 75.4 20.9 55.9 99.1 79.3 ... Dominican Republic San Francisco de 2007 10.2 99.5 84.8 72.6 95.6 90.2 99.1 97.5 36.0 87.8 31.1 78.3 98.4 95.4 ... Macoris Dominican Republic Moca 2007 42.0 99.5 100.0 70.2 97.2 89.6 99.2 97.6 27.9 85.7 21.4 74.5 98.6 95.5 ... Dominican Republic Higuey 2007 0.0 99.4 89.6 75.8 98.2 74.8 98.2 91.4 38.6 77.2 24.2 83.7 98.7 97.1 ... Dominican Republic La Romana 2007 6.7 99.3 74.8 69.6 93.3 70.5 98.1 92.1 37.5 79.9 19.4 79.5 98.9 94.7 ... Dominican Republic La Vega 2007 31.9 98.9 74.3 79.2 96.8 90.7 98.9 98.5 29.3 89.2 25.5 77.5 99.0 96.7 ... Dominican Republic Nagua 2007 4.5 99.9 99.3 64.3 94.0 86.6 99.3 93.8 34.1 89.5 23.5 79.7 98.6 95.8 ... Dominican Republic San Cristobal 2007 11.9 99.6 90.3 82.1 96.4 84.7 98.8 98.7 57.0 89.1 36.5 81.1 99.6 97.5 ... Dominican Republic San Juan 2007 53.8 99.3 58.0 55.4 89.1 82.0 90.0 88.6 36.2 85.4 21.7 65.0 99.7 79.9 ... Dominican Republic San Pedro de 2007 4.3 99.8 85.0 64.5 94.1 79.4 97.3 91.2 31.1 79.5 21.0 73.9 98.6 91.7 ... Macoris Dominican Republic Santiago 2007 32.5 99.2 88.5 89.9 99.2 94.6 99.3 98.5 48.3 92.7 43.0 84.7 99.4 96.4 ... Dominican Republic Santo Domingo 2013 2.7 99.4 91.6 88.9 98.1 89.2 98.0 94.5 52.4 83.9 ... 94.3 100.0 96.4 ... Dominican Republic San Francisco de 2013 3.3 100.0 70.9 78.0 97.0 90.9 99.8 94.5 35.8 94.1 ... 97.2 100.0 95.9 ... Macoris Dominican Republic La Romana 2013 1.9 100.0 100.0 80.5 96.3 78.8 99.0 92.5 47.4 80.1 ... 93.9 99.6 95.0 ... Dominican Republic La Vega 2013 19.3 99.6 62.9 83.3 96.6 90.9 98.1 96.9 35.7 89.3 ... 91.9 99.1 94.0 ... Dominican Republic San Juan 2013 20.5 96.2 86.1 66.3 94.1 84.4 96.4 96.0 23.3 83.8 ... 91.9 98.8 83.0 ... Dominican Republic Santiago 2013 8.6 98.6 86.5 87.4 96.7 89.7 98.2 98.7 51.0 89.6 ... 94.1 99.5 94.8 ... El Salvador La Libertad - Nueva 2001 ...... 53.0 San Salvador El Salvador San Miguel, San 2001 ...... 82.0 Miguel El Salvador San Salvador - Apopa 2001 ...... 73.0

374 WORLD CITIES REPORT 2020

Table B.2: Continued

Water Sanitation Durable housing Other basic services

El Salvador San Salvador - 2001 ...... 50.0 Ilopango, El Salvador San Salvador - 2001 ...... 85.0 Mejicanos El Salvador San Salvador, San 2001 ...... 81.0 Salvador El Salvador San Salvador - 2001 ...... 95.0 Soyapango El Salvador Santa Ana, Santa Ana 2001 ...... 83.0 El Salvador Sonsonate 2007 88.2 95.6 ... 39.5 46.3 ... 73.9 83.6 74.5 70.4 36.5 64.6 88.2 1.3 ... El Salvador San Salvador 2007 96.3 99.2 ... 77.8 81.0 ... 93.8 94.1 56.6 85.7 57.5 70.4 97.3 3.8 ... El Salvador San Miguel 2007 88.5 98.1 ... 54.9 63.5 ... 86.9 95.7 65.4 81.8 56.2 73.2 95.4 1.8 ... El Salvador Santa Ana 2007 89.2 97.1 ... 56.9 62.4 ... 84.5 93.6 58.6 87.6 47.7 72.5 92.6 1.8 ... El Salvador Soyapango 2007 99.3 99.7 ... 91.8 93.1 ... 96.8 96.9 48.5 89.9 62.9 69.4 98.4 2.0 ... El Salvador Ciudad Delgado 2007 97.4 99.0 ... 61.0 66.7 ... 91.9 91.4 60.4 79.3 50.4 65.6 97.4 1.8 ... Guatemala Guatemala 2002 91.3 95.6 ... 89.3 96.6 ... 94.6 89.8 99.0 82.8 ...... 97.8 7.7 ... Guatemala Guatemala city 2014 36.3 100.0 98.9 86.5 96.1 83.5 92.4 90.2 99.9 0.8 28.8 96.7 98.9 89.3 ... Guatemala Chimaltenango 2014 58.4 98.5 72.4 74.5 89.2 78.4 88.3 90.3 99.7 0.7 19.0 92.3 97.7 46.0 ... Guatemala Escuintla 2014 44.5 99.8 91.8 72.1 95.3 78.3 91.2 85.8 99.2 0.7 11.1 93.1 98.3 72.3 ... Guatemala Quetzaltenango 2014 61.9 99.3 66.0 72.0 87.5 78.2 91.7 92.4 99.6 0.8 16.6 90.8 95.8 47.2 ... Guyana Georgetown 2005 30.8 99.5 71.6 13.1 96.3 82.9 77.6 82.7 98.7 78.9 62.9 73.0 79.0 74.9 ... Guyana Georgetown 2008 ...... 73.4 Guyana Georgetown 2009 14.8 99.2 100.0 17.3 98.2 94.4 76.0 98.1 94.6 84.5 87.4 91.2 90.9 85.4 ... Haiti Les Cayes 2001 ...... 45.0 Haiti Pétion Ville 2001 ...... 22.0 Haiti Port-au-Prince 2001 ...... 22.0 Haiti Saint Marc 2001 ...... 45.0 Haiti Port-Au- Prince 2000 88.1 96.2 92.9 10.7 82.5 34.3 92.7 ...... 14.0 ... 95.0 6.0 ... Haiti Port-au-Prince 2003 28.9 95.4 ... 15.3 91.4 ... 93.1 94.9 99.5 63.0 19.6 ... 74.5 0.1 ... Haiti Port-Au- Prince 2006 60.7 98.0 89.5 4.6 58.8 30.0 96.8 98.3 100.0 62.2 12.4 52.5 89.8 9.6 ... Haiti Port-Au- Prince 2012 39.2 97.8 89.5 3.8 85.8 41.3 94.0 92.2 97.4 54.9 3.9 93.9 87.6 10.0 ... Hondurus Tegucigalpa 2005 58.3 96.8 58.3 69.8 85.1 70.9 65.4 75.4 98.7 71.9 57.0 55.5 ... 69.5 ... Hondurus Tegucigalpa 2012 49.4 99.5 77.7 74.7 92.0 78.2 67.2 79.3 99.1 74.9 51.3 93.1 ... 71.5 74.6 Jamaica Kingston 2000 98.8 98.8 ...... 82.56 ...... Mexico Acapulco, Guerrero 2001 ...... 85.0 Mexico Acuña, Coahuila 2001 ...... 85.0 Mexico Aguascalientes, 2001 ...... 90.0 Aguascalientes Mexico Altamira, Tamaulipas 2001 ...... 85.0 Mexico Apatzingan, 2001 ...... 85.0 Michoacán Mexico Campeche, 2001 ...... 80.0 Campeche Mexico Cancún, Benito 2001 ...... 90.0 Juárez, Quintana Roo Mexico Cárdenas, Tabasco 2001 ...... 80.0 Mexico Carmen, Campeche 2001 ...... 85.0 Mexico Celaya, Guanajuato 2001 ...... 95.0

375 Statistical Annex

Table B.2: Continued

Water Sanitation Durable housing Other basic services

Mexico Chalco, México 2001 ...... 85.0 Mexico Chetumal, Othon P. 2001 ...... 80.0 Blanco, Quintana Roo Mexico Chihuahua, 2001 ...... 95.0 Chihuahua Mexico Chilpancingo, 2001 ...... 85.0 Guerrero Mexico Ciudad Obregon 2015 ...... 81.4 Mexico Coatzacoalcos, 2001 ...... 80.0 Veracruz Mexico Colima, Colima 2001 ...... 85.0 Mexico Comitán de 2001 ...... 85.0 Domínguez, Chiapas Mexico Córdoba, Veracruz 2001 ...... 90.0 Mexico Corregidora 2015 ...... 83.3 Mexico Cuauhtemoc, 2001 ...... 85.0 Chihuahua Mexico Cuautla, Morelos 2001 ...... 90.0 Mexico Guadalajara 2015 ...... 82.4 Mexico Guadalajara, Jalisco 2001 ...... 90.0 Mexico Guadalajara, Jalisco 2012 ...... 95.0 Mexico Guadalajara, Jalisco 2019 ...... 98.1 Mexico Guadalupe, Nuevo 2001 ...... 100.0 León Mexico Guadalupe, 2001 ...... 85.0 Zacatecas Mexico Guanajuato, 2001 ...... 90.0 Guanajuato Mexico Guasave, Sinaloa 2001 ...... 85.0 Mexico Guaymas, Sonora 2001 ...... 85.0 Mexico Hermosillo, Sonora 2001 ...... 100.0 Mexico Hidalgo, Michoacán 2001 ...... 85.0 Mexico Hidalgo del Parral, 2001 ...... 85.0 Chihuahua Mexico Huixquilucan, México 2001 ...... 85.0 Mexico Iguala, Guerrero 2001 ...... 85.0 Mexico Irapuato, Guanajuato 2001 ...... 90.0 Mexico Mexico City 2015 ...... 81.4 Mexico Victoria, Tamaulipas 2001 ...... 90.0 Mexico Villahermosa, Centro, 2001 ...... 80.0 Tabasco Mexico Xalapa, Veracruz 2001 ...... 90.0 Mexico Zacatecas, 2001 ...... 85.0 Zacatecas Mexico Zamora, Michoacán 2001 ...... 90.0 Mexico Zapopan, Jalisco 2001 ...... 90.0 Mexico Zitacuaro, Michoacán 2001 ...... 85.0 Nicaragua Managua 2001 97.9 98.3 70.0 50.8 81.0 75.1 77.6 81.8 99.3 59.5 28.2 21.5 99.5 75.2 66.9 Nicaragua Managua 2012 ...... 68.0 Nicaragua Managua 2012 ...... 68.7

376 WORLD CITIES REPORT 2020

Table B.2: Continued

Water Sanitation Durable housing Other basic services

Panama Bocas del Toro 2013 85.9 98.7 43.8 9.1 73.4 69.07 60.13 96.62 100 71.02 17.64 90.24 87.23 ...... Panama Panamá 2013 99.0 100.0 100.0 53.0 95.4 87.13 96.36 99.93 100 86.47 40.48 95.91 98.79 ...... Panama Panama City 2015 ...... 70.4 Paraguay Asunción 2016 49.1 100.0 93.8 65.3 95.59 88.81 94.01 96.34 99.71 89.61 45.23 98.75 99.94 91.67 ... Paraguay Resto 2016 82.1 99.1 50.3 7.7 94.76 91.49 95.6 97.38 98 89.84 23.28 98.54 99.78 77.56 ... Peru Callao, Callao 2001 ...... 75.0 Cercado Peru Junín, El Tambo 2001 ...... 66.0 Peru Lima, Ate 2001 ...... 89.0 Peru Lima, Carabayllo 2001 ...... 78.0 Peru Lima, Chorrillos 2001 ...... 89.0 Peru Lima, Comas 2001 ...... 90.0 Peru Lima, Los Olivos 2001 ...... 87.0 Peru Lima, Lurigancho 2001 ...... 65.0 Peru Lima, Puente Piedra 2001 ...... 73.0 Peru Lima, San Borja 2001 ...... 63.0 Peru Lima, San Juan de 2001 ...... 47.0 Lurigancho Peru Lima, Villa María del 2001 ...... 80.0 Triunfo Peru Piura, Castilla 2001 ...... 77.0 Peru Ucayali, Callería 2001 ...... 70.0 Peru Lima 2000 89.6 97.1 71.5 85.3 91.1 84.0 83.2 83.1 66.6 78.9 51.1 ... 98.0 72.6 ... Peru Chimbote 2000 87.6 89.2 29.4 75.4 80.8 74.8 60.8 51.6 49.8 76.7 26.4 ... 91.2 45.5 ... Peru Arequipa 2000 90.0 94.1 74.4 78.3 86.2 78.1 87.6 81.3 79.5 73.1 34.9 ... 94.0 39.1 ... Peru Cusco 2000 95.1 95.1 84.3 73.3 77.0 48.0 33.6 14.8 74.9 67.0 32.2 ... 94.5 28.7 ... Peru Huancayo 2000 95.5 97.1 84.4 73.7 78.8 64.8 54.2 48.9 69.7 66.1 24.1 ... 94.1 46.7 ... Peru Trujillo 2000 86.9 94.8 48.2 77.7 84.1 80.2 72.8 44.5 48.1 79.1 37.5 ... 94.5 65.6 ... Peru Chiclayo 2000 92.1 97.3 69.0 66.0 78.3 73.1 66.9 49.5 39.0 69.7 29.1 ... 90.5 66.6 ... Peru Iquitos 2000 58.7 74.9 30.0 45.3 62.7 58.7 40.5 49.3 0.7 58.7 19.1 ... 78.4 15.7 ... Peru Piura 2000 87.5 91.8 55.9 66.2 76.4 76.4 66.5 69.2 33.5 67.7 24.2 ... 82.1 57.2 ... Peru Lima 2004 96.5 98.9 73.8 94.4 96.5 85.7 91.2 87.8 93.2 81.6 63.2 ... 99.3 86.5 ... Peru Chimbote 2004 91.9 91.9 66.9 78.1 83.4 70.2 61.4 67.8 94.9 83.0 34.5 ... 87.5 60.5 ... Peru Arequipa 2004 92.2 98.4 78.9 84.7 89.8 80.0 88.2 99.4 96.2 76.8 39.4 ... 97.8 65.4 ... Peru Piura 2004 93.7 94.4 39.8 36.0 59.6 59.5 59.6 74.2 99.3 70.0 23.1 ... 91.7 72.0 ... Peru La libertad 2007 79.1 90.0 ...... 92.2 ... 49.4 97.2 ... 0.9 42.8 55.5 89.5 73.4 ... Peru Lambayeque 2007 83.0 92.3 ...... 92.5 ... 49.6 97.5 ... 0.9 37.4 56.5 90.1 74.6 ... Peru Lima 2007 85.9 95.6 ...... 94.4 ... 52.9 87.6 ... 0.9 53.9 63.4 93.9 89.4 ... Peru Loreto 2007 54.8 81.9 ...... 81.7 ... 39.5 41.4 ... 0.8 30.4 28.7 82.2 37.6 ... Peru Madre de dios 2007 81.9 89.1 ...... 84.7 ... 57.2 38.4 ... 0.8 15.1 46.7 81.4 52.6 ... Peru Moquegua 2007 88.6 89.1 ...... 88.4 ... 52.5 85.8 ... 0.9 22.7 58.0 90.7 69.4 ... Peru Pasco 2007 54.7 58.3 ...... 53.6 ... 27.9 84.4 ... 0.8 10.6 38.4 84.6 51.0 ... Peru Piura 2007 80.0 86.6 ...... 79.7 ... 43.8 72.6 ... 0.9 29.4 47.6 83.4 53.2 ... Peru Puno 2007 72.0 88.8 ...... 76.1 ... 39.7 96.6 ... 0.9 10.9 43.9 83.9 52.2 ... Peru San martin 2007 69.8 76.7 ...... 92.2 ... 50.3 63.3 ... 0.8 17.2 33.4 81.0 44.9 ...

377 Statistical Annex

Table B.2: Continued

Water Sanitation Durable housing Other basic services

Peru Tacna 2007 94.1 95.5 ...... 92.6 ... 53.3 90.3 ... 0.9 25.4 62.0 89.2 75.9 ... Peru Tumbes 2007 76.8 81.8 ...... 78.7 ... 51.7 54.7 ... 0.9 20.7 59.7 83.3 76.2 ... Peru Ucayali 2007 54.9 83.7 ...... 87.7 ... 40.5 22.8 ... 0.8 26.1 45.0 82.0 61.4 ... Peru Lima 2012 88.4 96.9 67.6 89.1 94.8 86.8 92.5 86.6 93.5 0.9 56.3 94.1 99.4 96.4 ... Peru Chimbote 2012 95.7 97.0 51.9 87.3 93.1 85.4 81.2 72.1 84.7 0.9 36.8 93.0 97.6 84.4 ... Peru Arequipa 2012 95.4 97.9 79.9 81.4 91.1 86.0 90.8 94.1 98.6 0.8 32.9 97.8 99.5 95.7 ... Peru Cusco 2012 97.7 99.3 97.9 96.4 97.5 65.2 51.7 28.4 99.5 0.8 20.2 95.4 95.7 75.3 ... Peru Huancayo 2012 88.2 97.1 83.0 76.2 87.3 73.9 67.1 53.5 99.8 0.8 24.7 92.2 96.9 75.0 ... Peru Trujillo 2012 90.9 97.2 40.1 72.8 83.1 78.4 70.8 49.5 78.0 0.8 38.2 92.6 98.7 83.7 ... Peru Chiclayo 2012 89.5 93.1 57.6 78.4 87.6 78.6 72.0 51.7 84.9 0.8 35.3 93.0 98.9 91.4 ... Peru Iquitos 2012 41.1 85.5 50.2 46.8 72.8 64.9 43.8 43.5 73.4 0.7 34.8 73.3 91.0 51.4 ... Peru Piura 2012 82.3 91.1 15.2 65.5 78.2 70.9 63.0 76.1 99.2 0.8 27.5 86.2 97.6 72.9 ... Suriname Nickerie 2010 89.9 99.8 0.0 0.0 100 93.68 77.05 99.3 100 90.57 37 95.08 96.25 95.07 ... Suriname Commewijne 2010 18.1 96.6 75.0 1.1 92.76 91.4 87.33 100 100 88.86 38.01 91.86 91.63 81.18 ... Trinidad and Tobago Pt. Fortin Borough 2000 83.4 88.4 19.5 0.0 51.04 47.72 ... 97.93 ... 85.48 ...... Trinidad and Tobago Arima Borough 2000 94.4 94.4 0.0 68.7 93.81 85.76 ... 98.14 ... 96.28 ...... Trinidad and Tobago Tobago 2000 90.7 93.2 6.4 49.4 74.33 71.3 ... 91.27 ... 91.98 ...... Trinidad and Tobago Point Fortin 2006 74.7 100.0 39.0 22.1 92.49 92.49 69.95 93.43 100 96.71 66.67 86.85 95.31 97.65 ... Trinidad and Tobago Arima 2006 96.7 98.6 0.0 45.2 97.86 93.79 97.28 95.73 100 94.95 74.76 90.87 99.42 100 ... Trinidad and Tobago Mayaro/Rio Claro 2006 65.2 97.1 0.0 1.3 100 95.58 44.2 92.82 100 94.84 64.09 90.42 96.5 99.63 ... Trinidad and Tobago Port of Spain 2006 90.1 98.4 56.4 72.6 96.27 93.67 75.81 82.95 99.68 93.83 65.26 89.45 98.54 99.35 ... Trinidad and Tobago Tobago 2006 84.3 98.0 30.1 1.6 98.83 86.82 97.66 98.83 99.85 90.34 68.81 92.39 98.39 99.71 ... Trinidad and Tobago Chaguanas 2006 75.8 89.0 93.5 8.9 99.62 92.76 87.51 95.77 99.91 95.02 71.83 89.48 99.25 99.81 ... Trinidad and Tobago Siparia 2006 82.9 96.7 23.1 15.2 100 93.07 78.02 78.96 99.83 94.44 68.95 84.09 96.83 99.83 ... Trinidad and Tobago Penal/Debe 2006 81.2 98.5 79.5 4.1 99.77 96.09 78.36 94.7 100 97.08 76.21 84.5 97.77 99.92 ... Trinidad and Tobago Princes Town 2006 77.2 97.9 15.1 16.5 97.58 94.01 62.51 95.72 99.93 93.8 63.15 90.81 96.29 99.5 ... Trinidad and Tobago Diego Martin 2006 79.1 93.8 34.8 24.9 96.9 90.71 86.13 93.13 99.26 94.41 75.42 94.28 98.32 99.73 ... Trinidad and Tobago San Juan/Laventille 2006 82.0 92.9 61.3 21.3 99.56 86.46 80.28 97.02 99.91 95.09 54.69 95.22 98.29 99.74 ... Uruguay Más de 5 mil 2013 97.7 100.0 100.0 61.6 99.92 93.75 95.43 96.21 99.04 93.63 59.49 93.26 97.69 99.7 ... habitantes Uruguay Montevideo y Área 2013 91.5 99.8 0.0 57.9 97.14 94.9 96.18 93.64 97.39 94.07 71.62 96.09 99.98 99.89 ... Metropolitana Canada Sherbrooke and 2001 ...... 99.99 ...... Trois-Rivières Canada Sudbury and Thunder 2001 ...... 100 ...... Bay Canada Victoria 2001 ...... 99.98 ...... Canada Windsor 2001 ...... 99.98 ...... Canada Oshawa 2001 ...... 100 ...... Canada Halifax 2001 ...... 100 ...... Canada St. Catharines- 2001 ...... 99.98 ...... Niagara Canada Regina and 2001 ...... 99.98 ...... Saskatoon Canada London 2001 ...... 99.97 ...... Canada Kitchener 2001 ...... 99.98 ...... Canada Québec 2001 ...... 99.98 ......

378 WORLD CITIES REPORT 2020

Table B.2: Continued

Water Sanitation Durable housing Other basic services

Canada Winnipeg 2001 ...... 99.99 ...... Canada Hamilton 2001 ...... 100 ...... Canada Edmonton 2001 ...... 99.98 ...... Canada Calgary 2001 ...... 99.99 ...... Canada Ottawa-Hull 2001 ...... 99.99 ...... Canada Vancouver 2001 ...... 99.94 ...... Canada Montréal 2001 ...... 99.97 ...... Canada Toronto 2001 ...... 99.91 ...... Canada NIU 2001 ...... 99.98 ...... Canada Montreal 2015 ...... 98.0 Canada Toronto 2015 ...... 99.0 USA Columbia, SC 2000 ...... 97.79 ... 96.58 ...... USA Bellevue, WA 2000 ...... 98.01 ... 99.76 ...... USA Lansing, MI 2000 ...... 97.77 ... 96.67 ...... USA Burbank, CA 2000 ...... 89.11 ... 99.16 ...... USA Springfield, MO 2000 ...... 99.08 ... 96.77 ...... USA South Bend, IN 2000 ...... 96.69 ... 96.09 ...... USA Peoria, IL 2000 ...... 98.29 ... 94.27 ...... USA Stamford, CT 2000 ...... 95 ... 98.93 ...... USA Cape Coral, FL 2000 ...... 98.87 ... 99.38 ...... USA Evansville, IN 2000 ...... 98.81 ... 96.57 ...... USA Beaumont, TX 2000 ...... 95.78 ... 97.53 ...... USA Flint, MI 2000 ...... 95.83 ... 92.83 ...... USA Sterling Heights, MI 2000 ...... 98.37 ... 99.64 ...... USA Alexandria, VA 2000 ...... 90.85 ... 99.08 ...... USA New Haven, CT 2000 ...... 94.7 ... 97.16 ...... USA Waterbury, CT 2000 ...... 97.84 ... 97.75 ...... USA San Buenaventura 2000 ...... 92.25 ... 98.66 ...... (Ventura), CA USA Gary, IN 2000 ...... 94.34 ... 96.14 ...... USA McAllen, TX 2000 ...... 91.05 ... 96.92 ...... USA Provo, UT 2000 ...... 95.05 ... 99.4 ...... USA Madison, WI 2000 ...... 96.98 ... 98.37 ...... USA Little Rock, AR 2000 ...... 98.3 ... 97.5 ...... USA Warren, MI 2000 ...... 98.05 ... 97.72 ...... USA Savannah, GA 2000 ...... 96.1 ... 97.34 ...... USA Hampton, VA 2000 ...... 98.08 ... 98.54 ...... USA Downey, CA 2000 ...... 82.28 ... 97.94 ...... USA Des Moines, IA 2000 ...... 96.52 ... 98.99 ...... USA Boise, ID 2000 ...... 97.86 ... 99.08 ...... USA Elizabeth, NJ 2000 ...... 88.35 ... 94.8 ...... USA Lanaster, CA 2000 ...... 92.7 ... 97.73 ...... USA Chattanooga, TN 2000 ...... 97.43 ... 96.68 ...... USA Thousand Oaks, CA 2000 ...... 95.97 ... 99.91 ......

379 Statistical Annex

Table B.2: Continued

Water Sanitation Durable housing Other basic services

USA Rancho Cucamonga, 2000 ...... 97.32 ... 99.35 ...... CA USA Lowell, MA 2000 ...... 96.81 ... 98.34 ...... USA Vancouver, WA 2000 ...... 96.8 ... 98.48 ...... USA West Covina, CA 2000 ...... 87.19 ... 98.94 ...... USA Dayton, OH 2000 ...... 98.28 ... 94.9 ...... USA Irivine, CA 2000 ...... 96.18 ... 99.56 ...... USA Palmdale, CA 2000 ...... 89.99 ... 98.56 ...... USA Simi Valley, CA 2000 ...... 96.6 ... 99.8 ...... USA Huntsville, AL 2000 ...... 98.61 ... 97.7 ...... USA Costa Mesa, CA 2000 ...... 80.05 ... 99.58 ...... USA Rockford, IL 2000 ...... 96.51 ... 95.1 ...... USA Knoxville, TN 2000 ...... 98.72 ... 97.41 ...... USA Syracuse, NY 2000 ...... 97.77 ... 96.78 ...... USA Hartford, CT 2000 ...... 91.83 ... 94.46 ...... USA Torrance, CA 2000 ...... 94.07 ... 99.55 ...... USA Inglewood, CA 2000 ...... 68.9 ... 98.21 ...... USA Corona, CA 2000 ...... 89.44 ... 99.13 ...... USA Bridgeport, CT 2000 ...... 95.21 ... 95.9 ...... USA Newport News, VA 2000 ...... 97.41 ... 97.61 ...... USA Pasadena, CA 2000 ...... 82.37 ... 98.36 ...... USA Montgomery, AL 2000 ...... 98.17 ... 97.5 ...... USA Fullerton, CA 2000 ...... 85.05 ... 98.55 ...... USA Salt Lake City, UT 2000 ...... 93.12 ... 98.86 ...... USA Winston-Salem, NC 2000 ...... 94.99 ... 96.88 ...... USA Springfield, MA 2000 ...... 96.57 ... 97.32 ...... USA Worcester, MA 2000 ...... 97.14 ... 98.05 ...... USA Irving, TX 2000 ...... 87.93 ... 97.63 ...... USA Jackson, MS 2000 ...... 94.8 ... 95.23 ...... USA Providence, RI 2000 ...... 93.19 ... 97.34 ...... USA Pasadena, TX 2000 ...... 86.13 ... 97.06 ...... USA Orange, CA 2000 ...... 84.76 ... 99.19 ...... USA Richmond, VA 2000 ...... 97.45 ... 95.48 ...... USA Santa Clarita, CA 2000 ...... 94.44 ... 99.63 ...... USA Spokane, WA 2000 ...... 98.12 ... 98.47 ...... USA Grand Rapids, MI 2000 ...... 96.21 ... 96 ...... USA Fontana, CA 2000 ...... 80.74 ... 98.34 ...... USA Greensboro, NC 2000 ...... 97.68 ... 98.05 ...... USA Norwalk, CA 2000 ...... 75.5 ... 98.13 ...... USA Moreno Valley, CA 2000 ...... 88.41 ... 99.03 ...... USA North Las Vegas, NV 2000 ...... 86.27 ... 95.64 ...... USA Akron, OH 2000 ...... 98.7 ... 97.79 ...... USA Lexington-Fayette, 2000 ...... 99.2 ... 97.55 ...... KY USA Columbus, GA 2000 ...... 96.79 ... 97.53 ......

380 WORLD CITIES REPORT 2020

Table B.2: Continued

Water Sanitation Durable housing Other basic services

USA Reno, NV 2000 ...... 91.2 ... 97.81 ...... USA Baton Rouge, LA 2000 ...... 96.56 ... 96.98 ...... USA Brownsville, TX 2000 ...... 82.79 ... 94.97 ...... USA Mobile, AL 2000 ...... 96.51 ... 96.36 ...... USA Yonkers, NY 2000 ...... 92.56 ... 97.38 ...... USA Fort Wayne, IN 2000 ...... 98.16 ... 96.96 ...... USA Chesapeake, VA 2000 ...... 98.81 ... 98.94 ...... USA El Monte, CA 2000 ...... 57.79 ... 96.34 ...... USA Paterson, NJ 2000 ...... 87.56 ... 92.7 ...... USA Glendale, CA 2000 ...... 83.44 ... 99.48 ...... USA Plano, TX 2000 ...... 96.94 ... 99.59 ...... USA Anchorage, AK 2000 ...... 96.41 ... 99.41 ...... USA Saint Paul, MN 2000 ...... 92.76 ... 98.46 ...... USA Rochester, NY 2000 ...... 97.48 ... 95.34 ...... USA Raleigh, NC 2000 ...... 96.34 ... 98.04 ...... USA Ontario, CA 2000 ...... 76.5 ... 97.97 ...... USA Modesto, CA 2000 ...... 90.58 ... 98 ...... USA Huntingon Beach, CA 2000 ...... 94.47 ... 99.25 ...... USA Salinas, CA 2000 ...... 63.84 ... 98.14 ...... USA Norfolk, VA 2000 ...... 96.17 ... 96.15 ...... USA San Bernadino, CA 2000 ...... 79.99 ... 95.11 ...... USA Pittsburgh, PA 2000 ...... 99 ... 98.95 ...... USA Pomona, CA 2000 ...... 70.1 ... 96.74 ...... USA Tacoma, WA 2000 ...... 94.9 ... 97.96 ...... USA Minneapolis, MN 2000 ...... 91.45 ... 98.25 ...... USA Tulsa, OK 2000 ...... 96.42 ... 96.72 ...... USA Buffalo, NY 2000 ...... 97.71 ... 97.29 ...... USA Jersey City, NJ 2000 ...... 90.82 ... 95.44 ...... USA Wichita, KS 2000 ...... 96.98 ... 97.33 ...... USA Saint Louis, MO 2000 ...... 95.85 ... 96 ...... USA Bakersfield, CA 2000 ...... 91.34 ... 98.28 ...... USA Cincinnati, OH 2000 ...... 98.44 ... 97.48 ...... USA Corpus Christi, TX 2000 ...... 94.05 ... 96.72 ...... USA Garden Grove, CA 2000 ...... 75.65 ... 99.29 ...... USA Toledo, OH 2000 ...... 98.82 ... 97.43 ...... USA Newark, NJ 2000 ...... 92.4 ... 92.14 ...... USA Riverside, CA 2000 ...... 86.27 ... 98.14 ...... USA Oxnard, CA 2000 ...... 69.63 ... 98.25 ...... USA Stockton, CA 2000 ...... 84.75 ... 97.39 ...... USA Kansas City, MO 2000 ...... 96.77 ... 97.44 ...... USA Oklahoma City, OK 2000 ...... 95.51 ... 96.23 ...... USA Virginia Beach, VA 2000 ...... 98.95 ... 99.27 ...... USA Milwaukee, WI 2000 ...... 95.51 ... 94.79 ...... USA Seattle, WA 2000 ...... 96.55 ... 99.27 ......

381 Statistical Annex

Table B.2: Continued

Water Sanitation Durable housing Other basic services

USA Charlotte, NC 2000 ...... 95.91 ... 98.26 ...... USA New Orleans, LA 2000 ...... 94.36 ... 96.15 ...... USA Cleveland, OH 2000 ...... 97.85 ... 95.97 ...... USA Sacramento, CA 2000 ...... 90.02 ... 98.03 ...... USA Anaheim, CA 2000 ...... 73.1 ... 98.81 ...... USA Fresno, CA 2000 ...... 83.13 ... 97.17 ...... USA Long Beach, CA 2000 ...... 73.83 ... 97.03 ...... USA Washington, DC 2000 ...... 91.54 ... 97.17 ...... USA Boston, MA 2000 ...... 94.75 ... 98.36 ...... USA Memphis, TN 2000 ...... 95.75 ... 97.22 ...... USA Baltimore, MD 2000 ...... 97.15 ... 94.54 ...... USA Santa Ana, CA 2000 ...... 52.2 ... 98.7 ...... USA San Francisco, CA 2000 ...... 88.33 ... 98.66 ...... USA Detroit, MI 2000 ...... 94.44 ... 92.91 ...... USA Philadelphia, PA 2000 ...... 95.99 ... 97.73 ...... USA Chicago, IL 2000 ...... 90.54 ... 94.08 ...... USA Los Angeles, CA 2000 ...... 73.51 ... 97.84 ...... USA New York, NY 2000 ...... 87.95 ... 97.64 ...... USA NIU 2000 ...... 96.34 ... 97.72 ...... USA Yonkers, NY 2005 ...... 95.63 ... 96.13 ...... USA Glendale, CA 2005 ...... 93.78 ... 98.98 ...... USA Pasadena, TX 2005 ...... 98.07 ... 92.88 ...... USA Rochester, NY 2005 ...... 98.93 ... 93.9 ...... USA Newport News, VA 2005 ...... 98.92 ... 95.91 ...... USA Mobile, AL 2005 ...... 99.8 ... 90.31 ...... USA Salt Lake City, UT 2005 ...... 97.91 ... 97.18 ...... USA Akron, OH 2005 ...... 99.73 ... 94.92 ...... USA Saint Paul, MN 2005 ...... 97.29 ... 98.46 ...... USA Jackson, MS 2005 ...... 98.17 ... 93.6 ...... USA Palmdale, CA 2005 ...... 96.07 ... 99.2 ...... USA Columbus, GA 2005 ...... 100 ... 91.17 ...... USA Fort Wayne, IN 2005 ...... 99.12 ... 90.78 ...... USA Ontario, CA 2005 ...... 93.6 ... 96.08 ...... USA Corona, CA 2005 ...... 96.96 ... 97.4 ...... USA Winston-Salem, NC 2005 ...... 95.68 ... 89.2 ...... USA Spokane, WA 2005 ...... 99.52 ... 98.23 ...... USA Montgomery, AL 2005 ...... 99.66 ... 93.18 ...... USA Baton Rouge, LA 2005 ...... 99.04 ... 93.75 ...... USA Pomona, CA 2005 ...... 93.43 ... 97.22 ...... USA Santa Clarita, CA 2005 ...... 97.85 ... 99.27 ...... USA Reno, NV 2005 ...... 98.42 ... 96.58 ...... USA Irving, TX 2005 ...... 96.35 ... 90.93 ...... USA Irivine, CA 2005 ...... 99.72 ... 98.59 ...... USA Salinas, CA 2005 ...... 83.27 ... 97.09 ......

382 WORLD CITIES REPORT 2020

Table B.2: Continued

Water Sanitation Durable housing Other basic services

USA Fontana, CA 2005 ...... 93.56 ... 99.04 ...... USA Pittsburgh, PA 2005 ...... 99.44 ... 94.5 ...... USA Greensboro, NC 2005 ...... 98.37 ... 89.57 ...... USA San Bernadino, CA 2005 ...... 93.38 ... 98.72 ...... USA Anchorage, AK 2005 ...... 99.36 ... 98.96 ...... USA Huntingon Beach, CA 2005 ...... 93.94 ... 95.09 ...... USA Buffalo, NY 2005 ...... 100 ... 88.61 ...... USA Minneapolis, MN 2005 ...... 93.69 ... 95 ...... USA Norfolk, VA 2005 ...... 99.48 ... 92.38 ...... USA North Las Vegas, NV 2005 ...... 98.23 ... 97.48 ...... USA Modesto, CA 2005 ...... 97.45 ... 98.32 ...... USA Newark, NJ 2005 ...... 95.44 ... 90.41 ...... USA Cincinnati, OH 2005 ...... 98.5 ... 94.15 ...... USA Lexington-Fayette, 2005 ...... 99.42 ... 91.24 ...... KY USA Jersey City, NJ 2005 ...... 95.97 ... 93.8 ...... USA Tacoma, WA 2005 ...... 99.46 ... 98.53 ...... USA Moreno Valley, CA 2005 ...... 97.05 ... 97.88 ...... USA Brownsville, TX 2005 ...... 92.77 ... 89.58 ...... USA Chesapeake, VA 2005 ...... 99.22 ... 98.05 ...... USA Toledo, OH 2005 ...... 99.83 ... 94.43 ...... USA Saint Louis, MO 2005 ...... 98.54 ... 94.08 ...... USA Garden Grove, CA 2005 ...... 90.92 ... 98.37 ...... USA Oxnard, CA 2005 ...... 94.51 ... 95.07 ...... USA Plano, TX 2005 ...... 99.55 ... 98.28 ...... USA Raleigh, NC 2005 ...... 99.24 ... 92.3 ...... USA New Orleans, LA 2005 ...... 98.92 ... 94.99 ...... USA Tulsa, OK 2005 ...... 99.48 ... 90.53 ...... USA Wichita, KS 2005 ...... 98.58 ... 89.08 ...... USA Corpus Christi, TX 2005 ...... 99.17 ... 95.96 ...... USA Bakersfield, CA 2005 ...... 98.36 ... 96.9 ...... USA Stockton, CA 2005 ...... 95.87 ... 95.6 ...... USA Riverside, CA 2005 ...... 96.2 ... 94.88 ...... USA Milwaukee, WI 2005 ...... 97.63 ... 95.55 ...... USA Cleveland, OH 2005 ...... 99.18 ... 92.68 ...... USA Kansas City, MO 2005 ...... 99.53 ... 97.01 ...... USA Anaheim, CA 2005 ...... 89.1 ... 98.31 ...... USA Seattle, WA 2005 ...... 98.85 ... 97.2 ...... USA Oklahoma City, OK 2005 ...... 98.72 ... 94.64 ...... USA Boston, MA 2005 ...... 96.73 ... 95.12 ...... USA Santa Ana, CA 2005 ...... 77.64 ... 98.27 ...... USA Virginia Beach, VA 2005 ...... 99.72 ... 94.7 ...... USA Long Beach, CA 2005 ...... 89.35 ... 94.86 ...... USA Sacramento, CA 2005 ...... 97.43 ... 96.91 ......

383 Statistical Annex

Table B.2: Continued

Water Sanitation Durable housing Other basic services

USA Washington, DC 2005 ...... 96.2 ... 95.44 ...... USA Charlotte, NC 2005 ...... 98.47 ... 95.39 ...... USA Memphis, TN 2005 ...... 98.12 ... 90.23 ...... USA Baltimore, MD 2005 ...... 98.36 ... 92.19 ...... USA Fresno, CA 2005 ...... 94.07 ... 97.22 ...... USA Detroit, MI 2005 ...... 98.49 ... 91.54 ...... USA San Francisco, CA 2005 ...... 96.72 ... 98.14 ...... USA Philadelphia, PA 2005 ...... 98.04 ... 96.02 ...... USA Chicago, IL 2005 ...... 96.92 ... 92.48 ...... USA Los Angeles, CA 2005 ...... 86.51 ... 97.58 ...... USA New York, NY 2005 ...... 94.56 ... 95.11 ...... United States of America San Franscisco 2008 ...... 100.0 United States of America Tompkins county 2008 ...... 100.0 United States of America New York 2015 ...... 98.5 USA Jackson, MS 2010 100 100 ...... 98.46 ... 98.07 ...... USA Fullerton, CA 2010 100 100 ...... 96.77 ... 97.08 ...... USA Akron, OH 2010 100 100 ...... 99.22 ... 88.78 ...... USA Pasadena, TX 2010 100 100 ...... 96.01 ... 98.38 ...... USA Mobile, AL 2010 100 100 ...... 98.08 ... 98.73 ...... USA Richmond, VA 2010 100 100 ...... 97.35 ... 95.17 ...... USA Orange, CA 2010 100 100 ...... 91.95 ... 98.95 ...... USA Boise, ID 2010 100 100 ...... 99.18 ... 98.49 ...... USA Salt Lake City, UT 2010 100 100 ...... 95.4 ... 97.1 ...... USA Montgomery, AL 2010 100 100 ...... 99.38 ... 98.63 ...... USA Baton Rouge, LA 2010 100 100 ...... 97.96 ... 96.01 ...... USA Arlington, VA 2010 100 100 ...... 99.32 ... 97.02 ...... USA Saint Paul, MN 2010 100 100 ...... 97.44 ... 97.22 ...... USA Corona, CA 2010 100 100 ...... 97.46 ... 96.16 ...... USA Rochester, NY 2010 100 100 ...... 97.67 ... 96.45 ...... USA Santa Clarita, CA 2010 100 100 ...... 98.58 ... 99.25 ...... USA Fort Wayne, IN 2010 100 100 ...... 98.15 ... 97.04 ...... USA Irivine, CA 2010 100 100 ...... 99.86 ... 97.6 ...... USA Yonkers, NY 2010 100 100 ...... 96.11 ... 99.32 ...... USA Minneapolis, MN 2010 100 100 ...... 99.2 ... 96.79 ...... USA Spokane, WA 2010 100 100 ...... 98.66 ... 98.52 ...... USA Glendale, CA 2010 100 100 ...... 96.41 ... 99.15 ...... USA Winston-Salem, NC 2010 100 100 ...... 98.05 ... 96.3 ...... USA Ontario, CA 2010 100 100 ...... 90.5 ... 97.66 ...... USA Salinas, CA 2010 100 100 ...... 91.26 ... 97.22 ...... USA Greensboro, NC 2010 100 100 ...... 98.66 ... 96.64 ...... USA Buffalo, NY 2010 100 100 ...... 99.59 ... 96.4 ...... USA Columbus, GA 2010 100 100 ...... 99.4 ... 98.54 ...... USA Anchorage, AK 2010 100 100 ...... 98.24 ... 99.35 ...... USA Reno, NV 2010 100 100 ...... 99.74 ... 97.9 ......

384 WORLD CITIES REPORT 2020

Table B.2: Continued

Water Sanitation Durable housing Other basic services

USA Huntingon Beach, CA 2010 100 100 ...... 98.45 ... 98.49 ...... USA Fontana, CA 2010 100 100 ...... 98.37 ... 97.64 ...... USA Palmdale, CA 2010 100 100 ...... 98.08 ... 97.67 ...... USA Jersey City, NJ 2010 100 100 ...... 97.42 ... 91.54 ...... USA Pittsburgh, PA 2010 100 100 ...... 99.51 ... 97.92 ...... USA Tacoma, WA 2010 100 100 ...... 98.61 ... 96.19 ...... USA Norfolk, VA 2010 100 100 ...... 97.42 ... 96.27 ...... USA Pomona, CA 2010 100 100 ...... 89.57 ... 99.14 ...... USA Irving, TX 2010 100 100 ...... 95.1 ... 97.63 ...... USA San Bernadino, CA 2010 100 100 ...... 95.3 ... 98.76 ...... USA Saint Louis, MO 2010 100 100 ...... 98.2 ... 97 ...... USA Toledo, OH 2010 100 100 ...... 99.61 ... 97.76 ...... USA Chesapeake, VA 2010 100 100 ...... 100 ... 98.99 ...... USA Newark, NJ 2010 100 100 ...... 96.1 ... 96.6 ...... USA Cincinnati, OH 2010 100 100 ...... 98.77 ... 97.47 ...... USA Lexington-Fayette, 2010 100 100 ...... 99.17 ... 96.76 ...... KY USA Modesto, CA 2010 100 100 ...... 96.66 ... 95.3 ...... USA Brownsville, TX 2010 100 100 ...... 95.75 ... 99.42 ...... USA Plano, TX 2010 100 100 ...... 98.92 ... 98.8 ...... USA Oxnard, CA 2010 100 100 ...... 92.76 ... 98.94 ...... USA North Las Vegas, NV 2010 100 100 ...... 97.13 ... 98.05 ...... USA Wichita, KS 2010 100 100 ...... 99.48 ... 98.64 ...... USA Moreno Valley, CA 2010 100 100 ...... 98.25 ... 98.86 ...... USA Corpus Christi, TX 2010 100 100 ...... 98.2 ... 96.9 ...... USA Garden Grove, CA 2010 100 100 ...... 90.61 ... 98.97 ...... USA Raleigh, NC 2010 100 100 ...... 98.64 ... 98.26 ...... USA Tulsa, OK 2010 100 100 ...... 98.18 ... 98.02 ...... USA Cleveland, OH 2010 100 100 ...... 99.27 ... 97.2 ...... USA Stockton, CA 2010 100 100 ...... 95.54 ... 98.49 ...... USA Riverside, CA 2010 100 100 ...... 96.32 ... 98.22 ...... USA Milwaukee, WI 2010 100 100 ...... 98.89 ... 98.37 ...... USA Kansas City, MO 2010 100 100 ...... 99.89 ... 96.45 ...... USA Bakersfield, CA 2010 100 100 ...... 96.78 ... 98.23 ...... USA Anaheim, CA 2010 100 100 ...... 91.1 ... 98.45 ...... USA Oklahoma City, OK 2010 100 100 ...... 99.11 ... 98.67 ...... USA Seattle, WA 2010 100 100 ...... 98.89 ... 98.21 ...... USA Virginia Beach, VA 2010 100 100 ...... 99.47 ... 98.7 ...... USA Sacramento, CA 2010 100 100 ...... 96.96 ... 98.32 ...... USA Boston, MA 2010 100 100 ...... 98.44 ... 98.08 ...... USA Detroit, MI 2010 100 100 ...... 98.27 ... 96.55 ...... USA Long Beach, CA 2010 100 100 ...... 90.42 ... 98.27 ...... USA Washington, DC 2010 100 100 ...... 97.33 ... 97.39 ...... USA Santa Ana, CA 2010 100 100 ...... 78.5 ... 99.07 ......

385 Statistical Annex

Table B.2: Continued

Water Sanitation Durable housing Other basic services

USA Memphis, TN 2010 100 100 ...... 97.6 ... 97.36 ...... USA Fresno, CA 2010 100 100 ...... 92.68 ... 98.15 ...... USA Charlotte, NC 2010 100 100 ...... 99.05 ... 98.53 ...... USA Baltimore, MD 2010 100 100 ...... 99 ... 95.23 ...... USA San Francisco, CA 2010 100 100 ...... 95.68 ... 97.9 ...... USA Philadelphia, PA 2010 100 100 ...... 99.16 ... 95.84 ...... USA Chicago, IL 2010 100 100 ...... 97.26 ... 98.05 ...... USA Los Angeles, CA 2010 100 100 ...... 87.88 ... 98.08 ...... USA New York, NY 2010 100 100 ...... 93.81 ... 96.82 ...... Australia Adelaide 2015 ...... 98.1 Australia Brisbane 2015 ...... 98.2 Australia Canberra 2015 ...... 99.3 Australia Darwin 2015 ...... 99.1 Australia Gold Coast 2015 ...... 100.0 Australia Hobart 2015 ...... 100.0 Australia Melbourne 2015 ...... 97.8 Australia Perth 2015 ...... 99.1 Australia Sydney 2015 ...... 98.6 New Zealand Christchurch 2015 ...... 99.1 New Zealand Dunedin 2015 ...... 99.3 New Zealand Wellington 2015 ...... 98.1 Bhutan Thimphu 2012 ...... 72.3 Kyrgyzstan Bishekek 2010 ...... 83.0 Sri Lanka Dehiwala-Mount 2007 ...... 81.0 Lavinia Sri Lanka Moratuwa 2007 ...... 77.3 China Kunming 2008 ...... 100.0 China Lanzhou 2018 ...... 100.0 China Suzhou 2018 ...... 100.0 China, Hong Kong All Cities 2015 ...... 100.0 Special Administrative Region China, Macao Special All Cities 2009 ...... 100.0 Administrative Region Japan Osaka 2015 ...... 96.1 Japan Tokyo 2015 ...... 96.1 Mongolia Ulaanbaatar 2015 ...... 58.5 Singapore Singapore 2011 ...... 100.0 Singapore Singapore 2012 ...... 100.0 Singapore Singapore 2019 ...... 100.0 Anguilla Anguilla 2008 ...... 100.0 Antigua and Barbuda Antigua 2012 ...... 89.0 Brazil Belo Horizonte 2011 ...... 82.0 Brazil Cigres 2011 ...... 95.0 Brazil São Paulo 2015 ...... 73.8

386 WORLD CITIES REPORT 2020

Table B.2: Continued

Water Sanitation Durable housing Other basic services

Chile Antofagasta, 2001 ...... 89.1 Antofagasta Chile Canet 2009 ...... 78.0 Chile Coquimbo, Coquimbo 2001 ...... 81.7 Chile Los Lagos, Osorno 2001 ...... 77.5 Chile Los Lagos, Puerto 2001 ...... 82.3 Montt Chile Magallanes, Punta 2001 ...... 79.5 Arenas Chile Santiago, Providencia 2001 ...... 89.7 Chile Santiago, Santiago 2001 ...... 83.2 Chile Tarapacá, Arica 2001 ...... 75.1 Chile Valparaíso, 2001 ...... 67.3 Valparaíso Ecuador Quito 2012 ...... 76.1 Ecuador Santo Domingo de 2006 ...... 62.0 los Colorados Saint Lucia Castries 2011 ...... 100.0 Albania Tirana 2007 ...... 90.0 Andorra All Cities 2012 ...... 100.0 Belarus All Cities 2012 ...... 100.0 Belarus Minsk 2007 ...... 100.0 Belgium Brussels 2015 ...... 100.0 Bermuda Bermuda 2012 ...... 100.0 Bosnia and Herzegovina All Cities 2012 ...... 74.0 Bulgaria Sofia 2011 ...... 100.0 Bulgaria Varna 2009 ...... 100.0 Croatia Zagreb 2006 ...... 100.0 Czechia Prague 2015 ...... 99.2 Denmark Copenhagen 2015 ...... 100.0 Finland Helsinki 2015 ...... 100.0 France Paris 2015 ...... 100.0 Germany Berlin 2015 ...... 100.0 Greece Athens (GAA) 2011 ...... 100.0 Hungary Budapest 2015 ...... 50.0 Ireland Dublin 2015 ...... 88.0 Italy Milan 2015 ...... 94.6 Monaco All Cities 2012 ...... 100.0 Montenegro All Cities 2012 ...... 75.9 Netherlands Amsterdam-Utrecht 2015 ...... 100.0 Netherlands Rotterdam 2011 ...... 100.0 Norway Oslo 2015 ...... 100.0 Poland Warsaw 2015 ...... 80.0 Portugal Lisbon 2015 ...... 90.1 Spain Barcelona 2015 ...... 94.3 Spain Madrid 2015 ...... 94.3

387 Statistical Annex

Table B.2: Continued

Water Sanitation Durable housing Other basic services

Sweden Stockholm 2015 ...... 100.0 United Kingdom of Great Belfast 2011 ...... 100.0 Britain and Northern Ireland United Kingdom of Great London 2015 ...... 99.5 Britain and Northern Ireland United Kingdom of Great Manchester 2015 ...... 99.5 Britain and Northern Ireland Marshall Islands Marshall islands 2007 ...... 60.0 Cabo Verde Praia 2012 ...... 70.6 Mauritius curepipe 2009 ...... 100.0 Mauritius Port Louis 2012 ...... 98.0 Algeria Algiers 2009 ...... 80.0 Bahrain All Cities 2008 ...... 100.0 Georgia Batumi 2007 ...... 100.0 Georgia Kutaisi 2007 ...... 62.0 Georgia Tbilisi 2007 ...... 95.0 Iraq Baghdad 2012 ...... 51.8 Kuwait Kuwait 2012 ...... 100.0 Qatar Doha 2015 ...... 100.0 Saudi Arabia Riyadh 2015 ...... 91.2 Tunisia Sousse 2008 ...... 100.0 Tunisia Tunis 2004 ...... 65.0 Kosovo 2018 ...... 71.0

Notes: (a) Access to basic drinking water services (Improved water source is available with collection time no more than 30 minutes for a round trip) (b) Access to basic sanitation services (improved facilities not shared with other households)

Source: United Nations Human Settlement Programme (UN-Habitat), Global Urban Indicators Database 2020

388 WORLD CITIES REPORT 2020

Table B.3: Regional Slum Estimates, 1990 - 2018

Slum proportion Slum Population (thousands)a 1990 1995 2000 2005 2007 2010 2012 2014 2016 2018 1990 1995 2000 2005 2007 2010 2012 2014 2016 2018

World 43.3 40.4 28.0 25.9 25.2 24.4 24.1 23 23.5 24.0 723,023 779,678 817,221 853,740 945,943 925,965 940,120 928,063 1,003,083 1,033,545

Australia and New 0.03 0.01 0.01 ------7 7 8 Zealand Europe and 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 - - 764 787 815 820 824 833 842 1,022 Northern America Northern Africa and 28.4 25.0 23.0 19.8 19.6 19.4 19.0 22 22.6 25.6 44,194 44,701 46,335 45,217 51,275 52,061 52,354 63,814 71,720 83,052 Western Asia Latin America and 33.7 31.5 29.0 25.7 25.0 23.9 23.5 21 20.8 20.9 106,118 112,253 115,148 111,311 117,263 113,942 113,790 104,652 112,602 114,207 the Caribbean Eastern and South- 46.6 42.7 38.0 33.8 31.8 30.0 29.6 28 28.0 27.2 284,293 307,593 317,123 332,067 360,326 348,756 352,708 349,409 364,684 369,967 Eastern Asia Central and 57.1 51.7 46.0 40.3 38.3 35.3 35.0 32 32.3 31.2 193,216 201,838 205,661 206,888 224,040 212,024 214,952 206,704 223,643 226,780 Southern Asia Oceania (excluding 24.1 24.1 24.0 24.1 24.2 24.1 24.1 24 23.6 23.7 386 430 468 514 565 572 583 602 648 670 Australia and New Zealand) Sub-Saharan Africa 70.0 67.6 65.0 63.2 62.7 62.1 61.7 56 55.6 56.2 94,816 112,864 131,716 156,950 191,653 197,782 204,901 202,042 228,936 237,840

Note: a Slum population calculated based on World Urbanization Prospects: The 2018 Revision

Source: United Nations Human Settlement Programme (UN-Habitat), Global Urban Indicators Database 2020

389 Statistical Annex

Table B.4: Urban Population Living in Slums in Selected Countries, 1990-2018

Country Proprotion of urban population living in slum area Urban Slum Population (thousands)a 1990 1995 2000 2005 2010 2014 2016 2018 1990 1995 2000 2005 2010 2014 2016 2018

Sub Saharan Africa Angola ...... 86.5 86.5 65.8 55.5 48.4 47.0 7,123 9,471 9,197 9,372 8,947 9,476 Benin 79.3 76.8 74.3 71.8 69.8 61.5 59.6 59.2 1,361 1,667 1,956 2,324 2,767 2,857 2,993 3,216 Burkina 78.8 72.4 65.9 59.5 ... 65.8 58.5 56.6 960 1,105 1,366 1,720 3,117 3,071 3,283 Burundi ...... 64.3 ... 57.9 48.6 50.5 447 674 634 738 Cameroon 50.8 49.6 48.4 47.4 46.1 37.8 27.1 24.6 2,362 2,843 3,364 4,008 4,751 4,533 3,499 3,422 Central African Republic 87.5 89.7 91.9 94.1 95.9 93.3 97.5 98.5 947 1,119 1,299 1,479 1,660 1,683 1,819 1,930 Chad 98.9 96.4 93.9 91.3 89.3 88.2 87.0 86.6 1,227 1,449 1,695 2,005 2,334 2,678 2,851 3,065 Comoros 65.4 65.4 65.4 68.9 ... 69.6 69.6 69.6 75 88 100 118 150 159 168 Congo ...... 53.4 49.9 46.9 48.0 47.3 1,211 1,385 1,487 1,624 1,708 Cote d’Ivoire 53.4 54.3 55.3 56.2 57.0 56.0 59.2 61.1 2,575 3,254 3,979 4,662 5,501 6,188 6,995 7,733 Djibout ...... 65.6 65.6 65.6 463 480 496 Democratic Republic of Congo ...... 76.4 61.7 74.8 79.1 80.4 15,678 15,930 23,260 26,988 30,018 Equatorial Guinea ...... 66.3 ... 66.2 66.1 66.1 290 524 575 626 Ethiopia 95.5 95.5 88.6 81.8 76.4 73.9 65.9 66.2 5,794 7,565 8,693 9,855 11,597 13,670 13,413 14,775 Gabon ...... 38.7 ... 37.0 36.6 36.5 448 608 641 674 Gambia ...... 45.4 ... 34.8 26.0 24.3 341 391 318 322 Ghana 65.5 58.8 52.1 45.4 40.1 37.9 30.4 29.2 3,490 3,955 4,335 4,630 4,983 5,457 4,696 4,826 Guinea 80.4 68.8 57.3 45.7 ... 43.3 49.2 50.7 1,361 1,597 1,557 1,427 1,781 2,162 2,392 Guinea Bissau ...... 83.1 ... 82.3 78.9 78.2 438 592 609 647 Kenya 54.9 54.8 54.8 54.8 54.7 56.0 46.5 46.1 2,151 2,739 3,429 4,279 5,335 6,500 5,887 6,354 Lesotho ...... 35.1 53.7 50.8 59.7 61.9 152 272 289 359 394 Liberia ...... 68.3 65.7 70.3 66.6 1,289 1,425 1,630 1,654 Madagascar 93.0 88.6 84.1 80.6 76.2 77.2 67.7 73.3 2,541 3,078 3,598 4,259 5,148 6,289 6,042 7,164 Malawi 66.4 66.4 66.4 66.4 68.9 66.7 67.0 66.9 724 873 1,104 1,303 1,626 1,837 1,999 2,172 Mali 94.2 84.8 75.4 65.9 65.9 56.3 47.0 46.0 1,860 2,078 2,344 2,706 3,578 3,743 3,451 3,720 Mauritania ...... 79.9 79.5 79.5 1,630 1,777 1,936 Mozambique 75.6 76.9 78.2 79.5 80.5 80.3 76.7 76.9 2,505 3,333 4,112 4,990 6,208 7,403 7,719 8,444 Namibia 34.4 34.1 33.9 33.9 33.5 39.4 42.3 42.8 134 169 209 252 303 428 503 554 Niger 83.6 83.1 82.6 82.1 81.7 70.1 61.8 61.1 1,030 1,242 1,518 1,816 2,176 2,176 2,081 2,238 Nigeria 77.3 73.5 69.6 65.8 62.7 50.2 53.9 53.3 21,859 25,554 29,675 35,706 43,227 41,618 48,788 52,605 Rwanda 96.0 87.9 79.7 71.6 65.1 53.2 45.5 44.1 376 513 955 1,089 1,129 1,024 925 949 Sao Tome & principe ...... 86.6 86.6 86.6 115 123 132 Senegal 70.6 59.8 48.9 43.3 38.8 39.4 29.5 28.4 2,075 2,071 1,950 2,033 2,195 2,604 2,102 2,185 Sierra Leone ...... 97.0 ... 75.6 59.8 59.6 2,026 2,164 1,824 1,936 Somalia 73.5 73.6 73.6 73.6 73.6 2,778 3,488 4,245 4,618 5,025 South Africa 46.2 39.7 33.2 28.7 23.0 23.0 26.3 26.4 9,030 9,104 8,637 8,342 7,382 8,067 9,639 10,059 Sudan South ...... 95.6 97.3 97.3 2,053 2,272 2,467 Swaziland ...... 32.7 32.7 32.7 98 103 108 Tanzania 77.4 73.7 70.1 66.4 63.5 50.7 41.7 40.2 3,720 4,537 5,343 6,504 8,230 8,184 7,484 8,021 Togo ...... 62.1 ... 51.2 53.0 53.3 1,242 1,465 1,639 1,776 Uganda 75.0 75.0 75.0 66.7 60.1 53.6 47.5 46.0 1,449 1,980 2,666 3,230 3,949 4,476 4,460 4,838 Zambia 57.0 57.1 57.2 57.2 57.3 54.0 63.3 63.3 1,804 1,936 2,096 2,545 3,124 3,491 4,458 4,853 Zimbabwe 4.0 3.7 3.3 17.9 24.1 25.1 28.3 29.0 118 133 137 790 1,129 1,257 1,475 1,579 Western Asia & Northern Africa Armenia ...... 14.4 9.3 8.2 264 172 152 Egypt 50.2 39.2 28.1 17.1 13.1 10.6 4.1 3.1 12,525 10,680 8,415 5,649 4,740 4,169 1,672 1,296 Georgia 34.1 34.1 774 781

390 WORLD CITIES REPORT 2020

Table B.4: Continued

Country Proprotion of urban population living in slum area Urban Slum Population (thousands)a 1990 1995 2000 2005 2010 2014 2016 2018 1990 1995 2000 2005 2010 2014 2016 2018

Iraq 16.9 16.9 16.9 52.8 52.8 47.2 46.4 46.4 2,059 2,350 2,730 9,806 11,224 11,526 12,109 12,865 Jordan ...... 15.8 19.6 12.9 21.1 20.7 718 1,212 1,023 1,807 1,862 Morocco 37.4 35.2 24.2 13.1 13.1 13.1 10.1 9.0 4,503 4,927 3,716 2,206 2,463 2,709 2,186 2,042 Palestine 39.3 20.5 ------1,424 787 Sudan ...... 91.6 93.6 93.7 11,646 12,644 13,470 Syria ...... 10.5 ... 19.3 15.3 13.8 1,033 1,909 1,494 1,369 Tunisia ...... 8.0 8.0 8.0 604 624 643 Turkey ...... 26.0 27.0 25.0 8.1 7.0 11,977 13,831 14,073 4,769 4,320 Yemen ...... 67.2 ... 60.8 56.4 56.0 4,002 5,452 5,511 5,937 Eastern Asia and South-Eastern Asia Cambodia ...... 78.9 ... 55.1 47.7 45.6 2,008 1,833 1,697 1,733 Indonesia 50.8 42.6 34.4 26.3 23.0 21.8 30.9 30.4 28,188 30,281 30,597 27,347 27,822 29,275 43,593 44,859 Lao PDR ...... 79.3 ... 31.4 20.8 18.5 1,240 671 473 451 Mongolia 68.5 66.7 64.9 57.9 ... 42.7 38.3 37.1 853 871 889 914 850 792 792 Myanmar ...... 45.6 ... 41.0 56.6 57.1 6,178 6,312 9,012 9,404 Philippines 54.3 50.8 47.2 43.7 40.9 38.3 43.5 44.3 15,812 16,513 16,998 17,233 17,363 17,672 20,884 22,144 Thailand ...... 26.0 27.0 25.0 24.6 24.5 6,364 7,958 8,029 8,222 8,471 Timor Leste 34.0 30.1 129 122 Viet Nam 60.5 54.6 48.8 41.3 35.2 27.2 14.4 13.5 8,360 9,107 9,544 9,499 9,473 8,336 4,683 4,670 Central Asia and Southern Asia Afghanstan ...... 62.7 71.3 73.5 5,050 6,180 6,813 Bangladesh 87.3 84.7 77.8 70.8 61.6 55.1 49.4 47.6 18,366 21,811 24,134 27,225 28,550 29,454 28,254 29,025 India 54.9 48.2 41.5 34.8 29.4 24.0 35.4 34.8 122,141 123,237 120,910 116,324 111,937 100,560 155,434 160,330 Iran 23.9 23.9 14,175 14,681 Kazakhstan 16.1 10.5 1,658 1,112 Kyrgystan 9.7 8.5 208 189 Maldives 32.1 32.1 ------54 57 Nepal 70.6 67.3 64.0 60.7 58.1 54.3 51.0 49.3 1,172 1,567 2,035 2,358 2,631 2,796 2,799 2,882 Pakistan 51.0 49.8 48.7 47.5 46.6 45.5 40.8 38.0 16,792 19,487 22,235 24,843 27,796 30,240 28,531 27,954 Tajikistan 26.0 23.6 611 583 Uzbekistan 52.2 58.5 8,314 9,556 Latin America and The Carbbean Argentina 30.5 31.7 32.9 26.2 20.8 16.7 14.7 14.7 8,683 9,780 10,868 9,234 7,802 6,559 5,891 6,022 Belize ...... 10.8 5.1 3.5 17 8 6 Bolivia 62.2 58.2 54.3 50.4 47.3 43.5 49.5 49.9 2,369 2,607 2,799 2,951 3,114 3,126 3,708 3,882 Brazil 36.7 34.1 31.5 29.0 26.9 22.3 16.3 15.2 40,468 42,949 44,889 44,878 44,711 38,933 29,082 27,826 Colombia 31.2 26.8 22.3 17.9 14.3 13.1 28.1 28.5 7,433 7,197 6,675 5,890 5,137 4,972 10,941 11,383 Costa Rica ...... 10.9 ... 5.5 3.9 3.6 304 199 148 141 Cuba 6.6 6.6 ------583 584 Dominican Republic 27.9 24.4 21.0 17.6 14.8 12.1 14.8 14.3 1,106 1,111 1,110 1,093 1,081 978 1,249 1,260 Ecuador ...... 21.5 ... 36.0 20.3 17.1 1,822 3,622 2,117 1,839 El Salvador ...... 28.9 ... 28.9 22.4 19.8 1,074 1,250 1,002 915 Guatemala 58.6 53.3 48.1 42.9 38.7 34.5 31.0 31.0 2,278 2,424 2,541 2,635 2,741 2,727 2,587 2,729 Guyana ...... 33.7 33.2 33.1 32.6 32.5 70 66 67 67 68 Haiti 93.4 93.4 93.4 70.1 70.1 74.4 65.9 77.8 1,891 2,380 2,843 2,769 3,330 4,047 3,819 4,777 Honduras ...... 34.9 ... 27.5 40.4 40.5 1,250 1,321 2,054 2,179 Jamaica ...... 60.5 ... 60.5 59.8 59.6 877 945 950 962 Mexico 23.1 21.5 19.9 14.4 ... 11.1 16.0 15.1 14,082 14,835 15,125 11,919 10,892 16,281 15,803

391 Statistical Annex

Table B.4: Continued

Country Proprotion of urban population living in slum area Urban Slum Population (thousands)a 1990 1995 2000 2005 2010 2014 2016 2018 1990 1995 2000 2005 2010 2014 2016 2018

Nicaragua 89.1 74.5 60.0 45.5 ... 45.5 43.2 41.8 1,960 1,872 1,665 1,368 1,579 1,542 1,537 Panama ...... 23.0 ... 25.8 22.1 21.3 488 669 596 601 Peru 66.4 56.3 46.2 36.1 ... 34.2 33.8 33.1 9,987 9,604 8,746 7,479 8,175 8,320 8,396 Saint Lucia ...... 11.9 ... 11.9 11.9 11.9 4 4 4 4 Suriname ...... 3.9 ... 7.3 5.9 5.5 13 26 22 21 Trinidad & Tobago ...... 24.7 ... 24.7 5.4 1.9 176 179 39 14 Venezuela ...... 32.0 ... 32.0 34.9 35.8 7,538 8,670 9,703 10,218 Northern America and Europe Albania 13.2 13.2 226 234 Austria 6.1 6.1 308 311 Belarus 45.2 45.2 3,328 3,358 Bosnia and herzegovina 7.6 8.3 128 140 Greece 3.0 3.0 263 264 Hungary 13.6 13.6 939 940 Ireland 1.1 1.1 33 33 Italy 7.2 7.2 2,989 3,007 Macedonia 8.3 6.4 99 77 Moldova 63.5 70.4 1,095 1,213 Montenegro 27.1 27.1 113 114 Portugal 3.6 3.6 239 242 Romania 14.4 14.4 1,535 1,523 Serbia 3.6 3.6 177 177 Slovenia 3.7 3.7 42 42 Spain 7.8 7.8 2,886 2,907 Ukraine 19.0 18.0 5,839 5,497 Oceania Fiji 10.8 10.8 5 55

Notes: a Slum population calculated based on World Urbanization Prospects: The 2018 Revision

Source: United Nations Human Settlement Programme (UN-Habitat), Global Urban Indicators Database 2020

392 WORLD CITIES REPORT 2020

Table C.1: Spatial Urbanization Indicators in Selected Cities, 2000-2015

Country Cities Land Consumption Population Growth Ratio of Land Built-up area per Built-up area per Change in total Rate 2000 - 2015 (%) Rate 2000 - 2015 (%) consumption rate to capita 2000 (m2 per capita 2015 (m2 per built-up area 2000 - Population growth rate capita) capita) 2015 (%) 2000 - 2015 Australia HobartCity 0.43 1.50 0.287 574 489 6.69 Australia Cessnock 0.55 1.52 0.363 736 637 8.61 Australia Cairns 0.66 1.52 0.435 491 432 10.40 Australia Sydney 1.19 1.61 0.737 276 260 18.11 Australia Shepparton 1.28 1.57 0.817 691 662 21.19 Australia Melbourne 1.24 1.51 0.821 441 424 20.51 Australia Darwin 1.28 1.53 0.836 523 503 21.16 Australia Laucenston 1.36 1.51 0.901 589 576 22.71 Australia Gold Coast 1.48 1.52 0.974 471 468 24.87 Australia Canberra 1.60 1.50 1.064 433 439 27.11 Australia Bunbury 1.54 1.43 1.074 709 721 26.00 Australia Wollogong 1.80 1.50 1.196 482 503 30.94 Australia Muswellbrook 1.72 1.28 1.342 605 646 29.42 Australia Adeliade 2.11 1.51 1.400 405 444 37.31 Australia Geelong 2.25 1.52 1.482 453 506 40.16 Australia Kingaroy 2.56 1.56 1.646 831 966 46.90 Australia Brisbane 2.59 1.51 1.714 273 321 47.41 Australia Alice Spring 2.68 1.47 1.825 433 519 49.45 Australia Perth 3.06 1.52 2.017 357 450 58.27 New Zealand Auckland 0.84 1.50 0.559 301 272 13.40 New Zealand Wellington 0.75 1.21 0.619 228 213 11.94 New Zealand Palmerston 0.59 0.78 0.751 396 384 9.20 New Zealand LowerHutt 0.50 0.42 1.214 352 356 7.86 New Zealand Tauranga 2.35 1.77 1.328 308 336 42.23 New Zealand Napier 1.27 0.82 1.552 397 425 21.07 New Zealand Hamilton 3.28 1.64 2.002 341 436 63.51 New Zealand Dunedin 1.49 0.54 2.780 375 433 25.04 New Zealand Christ Church 1.83 0.06 30.474 315 411 31.66 Afghanistan Kabul 2.85 4.15 0.688 62 51 49.11 Afghanistan Herat 5.40 4.82 1.120 52 56 124.73 Afghanistan Lashkar Bah 5.24 4.38 1.195 72 81 119.31 Afghanistan Charikar 2.83 2.34 1.208 28 30 52.80 Afghanistan Jalalabad 5.58 3.76 1.486 69 91 131.08 Afghanistan Pol-e Khomri 2.94 1.64 1.799 46 57 55.50 Afghanistan Kandahar 6.22 3.42 1.818 65 100 154.27 Afghanistan Farah 8.46 4.42 1.915 69 127 255.99 Afghanistan Mazar-e Sharif 5.12 2.15 2.381 95 148 115.67 Afghanistan Khanabad 7.61 … … 11 44 213.31 Bangladesh Dhaka 3.47 3.28 1.060 19 19 68.37 Bangladesh Rajshahi 3.78 1.42 2.668 53 67 45.90 Bangladesh Saidpur 5.62 1.24 4.516 26 45 107.65 India Parbhani 0.73 1.71 0.427 50 44 9.15 India Sitapur 1.20 1.72 0.694 18 16 18.23 India Ahmedabad 1.87 1.80 1.035 33 33 27.46 India Jaipur 2.67 2.02 1.323 49 54 45.39 India Mumbai 1.69 1.24 1.362 24 25 24.49 India Vijayawada 0.57 0.40 1.430 37 38 8.37 India Jalna 1.81 1.17 1.549 35 39 28.87 India Hyderabad 2.82 1.48 1.901 47 58 52.69

393 Statistical Annex

Table C.1: Continued

Country Cities Land Consumption Population Growth Ratio of Land Built-up area per Built-up area per Change in total Rate 2000 - 2015 (%) Rate 2000 - 2015 (%) consumption rate to capita 2000 (m2 per capita 2015 (m2 per built-up area 2000 - Population growth rate capita) capita) 2015 (%) 2000 - 2015 India Pune 6.86 3.52 1.948 37 52 98.49 India Kanpur 1.26 0.55 2.289 36 40 20.76 India Singrauli 5.46 2.13 2.568 37 52 72.60 India Coimbatore 2.23 0.78 2.850 53 65 36.70 India Malegaon 4.85 1.27 3.817 11 18 97.32 India Kolkata 3.77 0.74 5.082 27 38 51.36 India Belgaum 5.23 0.77 6.796 19 35 108.02 India Hindupur 5.78 0.28 20.382 14 31 124.56 India Kozhikode 6.41 0.17 38.693 32 72 130.10 Iran Eshfana 0.76 2.43 0.314 93 73 12.12 Iran Gorgan 1.31 3.90 0.337 122 85 20.18 Iran Bandar Abbas 1.28 3.14 0.408 108 82 21.16 Iran Bojnurd 2.16 2.68 0.805 56 52 38.18 Iran Shadegan 1.96 2.34 0.838 81 77 34.18 Iran Qom 4.54 4.21 1.077 82 84 50.44 Iran Ahvaz 1.91 1.62 1.180 99 103 30.64 Iran Kashan 2.57 2.00 1.283 162 177 47.03 Iran Piranshahr 3.82 2.30 1.661 69 87 77.24 Iran Sanandaj 4.05 2.36 1.718 62 80 83.51 Iran Kashmar 2.55 1.46 1.741 76 89 46.51 Iran Babol 3.29 1.46 2.246 125 165 63.76 Iran Salmas 2.24 0.95 2.353 70 85 39.97 Iran Aradabil 2.70 1.07 2.512 55 70 49.88 Iran Arak 1.76 0.20 8.692 59 75 30.28 Iran Sari 1.74 0.11 16.270 109 139 29.88 Iran Tehran 1.97 ... … 60 65 21.80 Iran Dehdasht 4.02 ... … 22 73 82.81 Kazakhstan Shymkent 3.33 4.22 0.791 227 202 54.26 Kazakhstan Astana (Nur-Sultan) 4.46 5.08 0.878 122 112 95.35 Kazakhstan Aktobe 3.18 3.29 0.967 151 149 61.11 Kazakhstan Almaty 3.22 2.46 1.308 119 133 61.98 Kazakhstan Oskemen 1.79 ... … 120 166 30.75 Kazakhstan Pavlodar 1.90 ... … 113 140 33.05 Kazakhstan Qaragandy 1.48 ... … 151 175 24.87 Kazakhstan Semei 3.33 ... … 151 215 64.71 Kazakhstan Taraz 3.38 ... … 142 209 65.92 Nepal Pokhara 1.95 ... … 50 72 28.94 Pakistan Sialkot 1.06 1.96 0.542 53 47 15.99 Pakistan Mardan 1.30 2.08 0.625 57 51 21.52 Pakistan Hyderabad 1.34 1.91 0.698 37 34 22.19 Pakistan Karachi 1.72 2.23 0.772 31 29 25.09 Pakistan Gujranwala 1.66 2.06 0.807 52 49 28.35 Pakistan Peshawar 1.91 1.78 1.075 96 97 33.20 Pakistan Daska 1.87 1.67 1.123 36 37 32.37 Pakistan Shikarpur 1.26 0.84 1.507 34 36 20.79 Pakistan Lahore 3.25 1.87 1.733 28 34 52.55 Pakistan Islamadad 4.77 2.56 1.866 59 83 104.67

394 WORLD CITIES REPORT 2020

Table C.1: Continued

Country Cities Land Consumption Population Growth Ratio of Land Built-up area per Built-up area per Change in total Rate 2000 - 2015 (%) Rate 2000 - 2015 (%) consumption rate to capita 2000 (m2 per capita 2015 (m2 per built-up area 2000 - Population growth rate capita) capita) 2015 (%) 2000 - 2015 Pakistan Multan 3.51 1.77 1.981 54 70 69.36 Pakistan Faisalabad 3.98 1.81 2.196 35 49 81.74 Pakistan Quetta 4.37 0.67 6.482 78 136 92.69 Pakistan Khanpur 2.72 0.15 17.584 82 120 50.43 Pakistan Sargodha 1.90 ... … 51 67 33.08 Pakistan Jhang 2.27 ... … 70 100 40.47 Pakistan Layyah 2.57 ... … 121 234 46.96 Pakistan Turbat 2.26 ... … 30 40 40.46 Pakistan Nawabshah 2.81 ... … 91 123 52.52 Sri-Lanka Chilaw, Ferry Street 0.16 0.24 0.686 277 274 2.49 Sri-Lanka Hambantota 1.28 1.61 0.794 304 290 21.14 Sri-Lanka Anuradhapura 0.75 0.48 1.564 223 232 11.99 Sri-Lanka Embilipitiya 2.57 0.95 2.718 210 268 47.07 Sri-Lanka Jaffna 1.42 0.41 3.505 203 237 23.74 Sri-Lanka Haputale 2.10 ... … 167 259 36.95 Sri-Lanka Batticaloa 2.49 ... … 165 242 45.27 Uzbekistan Nukus 2.43 3.32 0.732 133 116 43.98 Uzbekistan Kokand 1.06 1.38 0.767 239 228 17.25 Uzbekistan Qarshi 1.07 1.28 0.834 174 169 17.40 Uzbekistan Tashkent 0.75 0.55 1.355 179 184 11.01 Uzbekistan Denau 2.29 1.47 1.556 135 152 40.94 Uzbekistan Andijan 2.22 1.40 1.586 206 233 39.41 Uzbekistan Bukhara 2.35 1.31 1.791 313 359 35.74 Uzbekistan Navoi_Karmana 4.35 0.85 5.117 205 346 92.11 Uzbekistan Bekobod 2.57 ... … 279 376 47.03 China Beijing, Beijing 3.11 4.01 0.776 130 117 45.23 China Shanghai, Shanghai 2.63 3.22 0.817 136 124 48.28 China Shenzhen, Guangdong 4.06 4.23 0.959 68 66 69.46 China Zhuji, Zhejiang 1.62 1.29 1.257 361 377 23.39 China Haikou, Hainan 5.42 3.41 1.592 51 64 91.73 China Kaiping, Guangdong 1.36 0.85 1.597 78 84 20.93 China Hong Kong, Hong Kong 0.79 0.49 1.617 21 21 10.81 China Zhengzhou, Henan 4.18 2.35 1.781 152 199 87.10 China Guangzhou, 4.32 2.30 1.881 95 126 83.15 Guangdong China Jinan, Shandong 2.80 1.33 2.101 106 128 43.93 China Tianjin, Tianjin 6.46 2.89 2.236 90 143 131.68 China Wuhan, Hubei 4.19 1.65 2.539 85 119 72.46 China Changzhou, Jingsu 4.83 1.86 2.601 110 167 96.56 China Chengdu, Sichuan 9.13 3.43 2.663 67 112 127.35 China Hangzhou, Zhejiang 5.90 2.19 2.691 109 177 115.30 China Yucheng, Zhejiang 2.60 0.94 2.769 148 187 43.89 China Taipei, Taiwan 3.13 0.95 3.288 58 77 50.17 China Pingxiang, Jiangxi 1.84 0.50 3.644 161 194 29.38 China Qingdao, Shandong 7.44 1.49 5.005 81 176 163.15 China Yanggu, Shandong 3.66 0.58 6.275 167 257 67.01 China Yulin, Guangxi 5.50 0.67 8.168 105 162 64.02 China Tangshan, Hebei 4.17 0.50 8.402 140 226 71.92

395 Statistical Annex

Table C.1: Continued

Country Cities Land Consumption Population Growth Ratio of Land Built-up area per Built-up area per Change in total Rate 2000 - 2015 (%) Rate 2000 - 2015 (%) consumption rate to capita 2000 (m2 per capita 2015 (m2 per built-up area 2000 - Population growth rate capita) capita) 2015 (%) 2000 - 2015 China Changzhi, Hunan 1.77 0.08 20.948 129 164 28.15 China Anqing, Anhui 7.16 0.19 37.855 61 152 153.66 China Xingping, Shaanxi 5.01 0.05 101.751 69 132 91.88 China Yiyang, Hunan 4.13 ... … 87 166 78.23 China Chengguan, Guizhou 5.19 ... … 30 70 96.37 China Guixi, Chongqing 7.08 ... … 32 99 189.04 China Xucheng, Jiangsu 10.20 ... … 69 266 276.56 China Suining, Sichuan 5.73 ... … 24 56 110.56 China Zunyi, Guizhou 6.85 ... … 32 84 127.39 China Bicheng, Chongqing 11.19 ... … 34 165 328.21 China Gaoyou, Jiangsu 5.54 ... … 90 228 142.47 China Leshan, Sichuan 4.15 ... … 101 188 71.43 Democratic Sinuiju 0.64 1.12 0.568 34 32 10.03 People’s Republic of Korea (North Korea) Democratic Kanggye 1.76 1.36 1.294 28 30 30.15 People’s Republic of Korea (North Korea) Democratic Chongjin 1.24 0.47 2.646 36 40 20.53 People’s Republic of Korea (North Korea) Democratic Songnim 2.75 0.91 3.027 30 39 50.98 People’s Republic of Korea (North Korea) Democratic Ranson 2.79 0.30 9.218 41 59 51.93 People’s Republic of Korea (North Korea) Democratic Hamhung 2.57 0.15 16.852 26 38 47.07 People’s Republic of Korea (North Korea) Democratic Pyongyang 0.08 ... … 47 50 1.07 People’s Republic of Korea (North Korea) Indonesia Kendari 3.32 3.48 0.953 124 121 64.48 Indonesia Jambi 2.95 2.53 1.166 111 118 55.58 Indonesia Parepare 2.02 1.25 1.608 52 58 32.62 Indonesia makassar 2.82 1.60 1.767 66 79 52.75 Indonesia Bandung 3.80 1.50 2.533 48 68 76.69 Indonesia Medan 3.57 1.16 3.069 76 101 53.57 Indonesia Purwakarta 4.02 1.25 3.228 62 94 82.82 Indonesia Garut Kota 2.97 0.75 3.941 26 36 56.20 Indonesia Subang 5.06 1.20 4.207 49 87 113.75 Indonesia Surabaya 3.20 0.75 4.249 59 85 61.59 Indonesia Semarang 3.19 0.71 4.493 67 97 61.28 Indonesia Bengkulu 5.10 0.66 7.764 66 129 115.05 Indonesia BandaAceh 2.61 0.13 20.034 148 215 47.99 Indonesia Cirebon 6.19 0.18 34.894 26 60 138.03 Indonesia Pekalongan 3.99 ... … 59 112 82.06 Indonesia Palembang 1.96 ... … 85 113 26.54 Indonesia Pati 2.78 ... … 69 124 51.75 Indonesia Pematangtiantar 1.16 ... … 49 67 16.20

396 WORLD CITIES REPORT 2020

Table C.1: Continued

Country Cities Land Consumption Population Growth Ratio of Land Built-up area per Built-up area per Change in total Rate 2000 - 2015 (%) Rate 2000 - 2015 (%) consumption rate to capita 2000 (m2 per capita 2015 (m2 per built-up area 2000 - Population growth rate capita) capita) 2015 (%) 2000 - 2015 Indonesia Pemalang 2.84 ... … 50 89 53.19 Indonesia Jombang 4.14 ... … 68 124 85.96 Japan Tokyo 1.73 0.66 2.628 112 130 27.41 Japan Osaka 0.54 0.09 5.890 108 114 7.28 Japan Fukuoka 0.82 0.03 25.275 146 161 11.23 Japan Okayama 0.57 ... … 328 366 8.28 Japan Yamaguchi 0.32 ... … 406 473 4.97 Malaysia Ipoh 1.81 1.61 1.126 315 323 24.29 Malaysia Rawang 2.22 1.80 1.234 234 247 33.44 Mongolia Ulaanbaatar 2.99 4.85 0.618 150 118 47.58 Myanmar Lashio 0.44 3.26 0.134 153 100 6.76 Myanmar Mandalay 0.21 1.03 0.203 76 67 3.20 Myanmar Myitkyina 0.94 3.55 0.265 240 163 15.14 Myanmar Tachiliek 0.66 2.15 0.306 179 143 10.34 Myanmar Yangon 1.58 3.85 0.410 88 62 26.69 Myanmar Loikaw 0.74 1.48 0.501 172 154 11.80 Myanmar Taunggyi 1.38 2.34 0.589 114 98 22.91 Myanmar Pathein 0.67 1.00 0.666 95 91 10.56 Myanmar Myeik 3.79 2.67 1.419 35 40 51.66 Myanmar Mawlamyine 0.59 ... … 74 81 9.28 Myanmar Myede 1.63 ... … 38 49 27.69 Philippines Manila 0.99 1.77 0.559 42 38 14.85 Philippines Bacolod 0.71 0.97 0.734 89 86 9.71 Philippines Cebu City 3.16 3.77 0.839 61 56 55.71 Republic of Korea Cheonan 2.90 3.07 0.946 185 180 50.14 (South Korea) Republic of Korea Seoul 2.66 1.11 2.394 69 86 45.07 (South Korea) Republic of Korea Gwangju 3.13 0.84 3.744 75 106 59.86 (South Korea) Republic of Korea Jinju 4.75 ... … 172 363 94.41 (South Korea) Republic of Korea Busan 1.83 ... … 67 88 26.78 (South Korea) Singapore Singapore 1.18 3.24 0.363 62 50 13.82 Thailand Bangkok 3.33 3.35 0.994 111 111 59.34 Thailand ChiangMai 2.86 1.14 2.509 175 226 53.49 Thailand Chaam 7.04 ... … 221 641 187.68 Thailand Khon Kaen 3.31 ... … 145 261 64.21 Thailand ChiangRai 3.30 ... … 132 225 64.05 Thailand Chumpon 5.78 ... … 71 173 138.07 Thailand Phattalung 2.26 ... … 82 138 40.39 Vietnam Ho Chi Minh City 3.73 3.41 1.094 58 61 81.50 Vietnam Vinh Long 10.55 ... … 30 131 337.96 Cuba Las Tunas 2.89 0.84 3.431 53 72 54.16 Argentina Buenos Aires 1.51 1.35 1.112 101 103 21.61 Argentina Cordoba 1.25 0.48 2.595 151 167 17.67 Bolivia Cochabamba 2.20 2.42 0.911 152 148 33.15 Brazil Palmas 1.87 5.72 0.327 396 240 27.50 Brazil Ribeirao Preto 1.12 1.98 0.565 197 176 15.63

397 Statistical Annex

Table C.1: Continued

Country Cities Land Consumption Population Growth Ratio of Land Built-up area per Built-up area per Change in total Rate 2000 - 2015 (%) Rate 2000 - 2015 (%) consumption rate to capita 2000 (m2 per capita 2015 (m2 per built-up area 2000 - Population growth rate capita) capita) 2015 (%) 2000 - 2015 Brazil Sao Paulo 0.58 0.91 0.643 90 86 8.52 Brazil Belo Horizonte 0.91 1.33 0.684 119 114 9.50 Brazil Florianopolis 2.13 2.23 0.955 154 152 34.79 Brazil Curitiba 1.99 1.27 1.574 143 159 32.19 Brazil Jequie 0.69 0.28 2.522 173 183 9.45 Brazil Ilheus 1.36 ... … 81 127 17.69 Chile Santiago 1.36 1.10 1.231 90 93 20.97 Costa Rica Liberia 2.65 2.79 0.950 186 182 48.77 Costa Rica Puerto Limon 1.63 0.94 1.738 138 154 27.77 Costa Rica Cartago 3.53 1.27 2.773 115 162 69.92 Costa Rica San Hose 2.62 0.92 2.838 119 154 48.12 Costa Rica Puntar Arenas_ 2.19 0.16 13.432 133 181 38.97 Barranca Cuba Holguin 0.25 0.68 0.368 81 77 3.30 Cuba Bayamo 2.01 0.77 2.615 40 48 35.23 Cuba Cienfuego 1.28 0.43 2.973 55 63 21.25 Cuba Guantanamo 1.28 0.43 2.973 55 63 21.25 Cuba Santa Clara 1.91 0.12 15.287 63 82 33.09 Cuba Camaguey 2.45 ... … 78 114 44.42 Cuba LacHabana 1.12 ... … 70 92 18.21 Cuba Santiago De Cuba 1.16 ... … 64 76 18.92 Ecuador Quito 4.00 2.17 1.841 76 96 68.19 El Salvador San Salvador 1.88 ... … 77 104 32.62 Guatemala Guatemala City 2.27 1.32 1.720 85 96 31.28 Mexico Reynosa 2.34 2.87 0.815 190 177 35.48 Mexico Tijuana 2.17 1.89 1.146 154 160 35.42 Mexico Guadalajara 2.02 1.18 1.721 93 106 35.49 Mexico Culiacan 2.35 1.34 1.751 130 150 38.95 Mexico Mexico City 2.95 0.54 5.462 57 80 51.12 Nicaragua Leon 1.96 ... … 87 113 21.64 Uruguay Maldonaldo 1.38 2.67 0.518 387 319 23.05 Uruguay LasPiedras 0.58 0.32 1.782 196 203 9.03 Uruguay Tacuarembo 1.51 0.67 2.249 196 222 25.34 Uruguay Paysandu 2.86 0.62 4.609 181 253 53.54 Uruguay Salto 2.59 0.55 4.707 144 196 47.53 Uruguay Montevideo + 0.76 0.13 5.738 154 169 12.06 CiudadDeLaCosta Uruguay Melo 2.31 0.25 9.271 131 178 41.38 Uruguay Mercedes 1.39 ... … 133 167 23.10 Uruguay Riviera 1.31 ... … 156 205 21.71 Venezuela Cabimas 1.13 1.66 0.682 192 178 17.18 Venezuela Caracas 0.58 0.40 1.443 54 55 7.84 Austria Vienna 0.82 1.00 0.819 185 180 11.27 Belarus Gomel 0.55 0.38 1.444 175 179 7.44 Belarus Hrodna 1.73 0.46 3.733 139 169 29.69 Belarus Minsk 4.82 0.88 5.451 68 122 106.05 Belarus Brest 4.43 0.59 7.499 159 283 94.28 Belarus Viciebsk 3.51 0.15 23.749 129 213 69.37

398 WORLD CITIES REPORT 2020

Table C.1: Continued

Country Cities Land Consumption Population Growth Ratio of Land Built-up area per Built-up area per Change in total Rate 2000 - 2015 (%) Rate 2000 - 2015 (%) consumption rate to capita 2000 (m2 per capita 2015 (m2 per built-up area 2000 - Population growth rate capita) capita) 2015 (%) 2000 - 2015 Belarus Kobyrn 3.56 ... … 228 422 70.47 Belarus Salihorsk 1.92 ... … 277 413 33.47 Belarus Polack 6.50 ... … 124 376 164.94 Belarus Mazyr 7.97 ... … 84 291 230.32 Belarus Babrujsk 0.90 ... … 197 239 14.51 Belgium Antwerp 0.99 0.72 1.386 355 368 13.80 Canada Victoria 0.82 0.89 0.928 414 411 11.31 Canada Montreal 0.94 0.83 1.133 258 262 13.07 France Paris 1.17 0.58 2.014 164 178 17.83 France Toulousse 3.24 1.18 2.738 249 339 62.56 France Lyon 1.90 0.53 3.584 179 220 33.04 France Nimes 0.93 0.25 3.725 266 295 14.90 France Grenoble 0.57 0.15 3.760 269 287 8.89 France Nantes 1.31 0.28 4.718 228 266 21.80 France Marseille 1.75 0.34 5.072 200 247 29.96 France Strasbourg 1.68 0.14 12.201 162 204 28.70 France Nice 2.09 0.11 19.066 182 244 36.74 France Le Mans 0.37 ... … 305 343 5.28 France Metz 0.48 ... … 287 316 7.46 France Besancon 0.59 ... … 239 266 9.28 France Lille 0.85 ... … 192 218 13.55 Germany Oldenburg 1.89 0.13 14.391 188 241 30.37 Germany Berlin 1.82 0.03 52.160 140 177 26.73 Germany Halle 0.95 ... … 251 292 11.01 Greece Thessaloniki 2.60 0.16 16.396 94 124 33.11 Hungary Budapest 2.52 0.99 2.556 187 221 31.97 Italy Milan 3.30 0.76 4.350 213 275 39.08 Italy Palermo 2.12 ... … 118 158 31.75 Lithuania Kaunas 0.39 ... … 195 273 5.59 Netherlands Zwolle 0.90 1.07 0.847 288 281 13.47 Poland Lomza 1.44 0.40 3.572 439 513 24.17 Poland Warsaw 1.97 0.24 8.081 167 209 29.12 Poland Poznan 0.76 0.03 26.812 264 294 12.07 Poland Mielec 3.06 ... … 168 269 58.31 Poland Lodz 2.44 ... … 80 133 44.20 Poland Lublin 3.95 ... … 75 141 80.95 Poland Wroclaw 2.66 ... … 95 145 48.93 Romania Bucharest 1.28 ... … 127 167 21.11 Romania Targu Jiu 0.88 ... … 225 352 14.09 Romania Craiova 0.59 ... … 158 224 9.27 Romania Falticeni 0.46 ... … 200 274 7.17 Romania ARad 0.50 ... … 230 313 7.77 Romania Reghin 0.80 ... … 276 376 12.80 Romania CampiaTurzii 2.12 ... … 227 368 37.38 Romania Navodari 0.79 ... … 208 280 12.64 Romania Mangalia 0.80 ... … 310 416 12.67 Russia Moscow 1.25 1.34 0.938 142 140 17.72

399 Statistical Annex

Table C.1: Continued

Country Cities Land Consumption Population Growth Ratio of Land Built-up area per Built-up area per Change in total Rate 2000 - 2015 (%) Rate 2000 - 2015 (%) consumption rate to capita 2000 (m2 per capita 2015 (m2 per built-up area 2000 - Population growth rate capita) capita) 2015 (%) 2000 - 2015 Russia Saint Petersburg 1.14 0.64 1.782 131 141 17.30 Russia Tyumen 1.55 0.55 2.845 197 223 20.46 Russia Astrakhan 0.68 0.05 14.363 234 254 9.31 Russia Berezniki 0.55 ... … 299 367 7.36 Russia Dzerzhinsk 0.98 ... … 225 286 10.32 Serbia Novi Sad 0.71 0.81 0.884 219 216 11.30 Serbia Novi Pazar 4.55 1.17 3.898 77 129 97.93 Serbia Borca 3.26 0.80 4.085 92 132 63.14 Serbia Belgrade 0.95 ... … 98 114 13.14 Serbia Nis 4.64 ... … 81 165 100.60 Serbia Kragujevac 2.95 ... … 136 225 55.68 Serbia Kikinda 5.72 ... … 141 449 135.79 Serbia Zrenjanin 1.92 ... … 186 307 33.39 Spain Madrid 4.28 2.03 2.110 88 105 40.81 Switzerland Wetzikon 0.17 1.84 0.092 317 247 2.58 Switzerland Zurich 0.44 1.17 0.377 210 188 6.86 Switzerland Winterhur 0.76 1.39 0.544 249 226 12.02 Switzerland Lausanne 1.05 1.29 0.814 227 220 15.79 Switzerland Emmen_Lucerne 0.76 0.74 1.032 222 223 12.14 Switzerland Fribourg 1.70 1.57 1.078 226 231 28.98 Switzerland Neuchatel 1.03 0.54 1.910 243 261 16.67 Switzerland Bern 0.50 0.26 1.969 198 206 7.85 Switzerland St Gallen 2.28 0.45 5.088 174 229 40.70 Switzerland Basel 1.45 0.23 6.384 206 248 24.24 Ukraine Rovno 1.50 ... … 163 206 23.41 Ukraine Nikolaev 0.05 ... … 149 161 0.67 United Kingdom Manchester 0.32 1.32 0.246 205 189 2.63 United Kingdom London 0.34 1.22 0.277 171 153 4.48 United Kingdom Sheffield 0.36 0.67 0.533 240 232 4.03 United States Gainesville, FL 0.79 1.26 0.625 469 441 10.80 United States Houston 2.07 2.32 0.893 500 483 33.66 United States Raleigh 3.12 3.37 0.927 606 587 50.07 United States Portland, OR 1.38 1.42 0.973 450 448 21.29 United States Los Angeles 0.61 0.60 1.021 304 304 8.98 United States New York 0.28 0.27 1.033 407 407 3.11 United States Killeen 2.54 2.29 1.109 700 723 39.19 United States Modesto 1.62 1.41 1.152 470 484 25.52 United States Minneapolis 0.79 0.65 1.213 532 542 11.66 United States Chicago 0.72 0.31 2.298 557 587 9.86 United States Philadelphia 1.49 0.35 4.284 441 517 23.17 United States Springfield, MA 1.18 0.11 10.908 599 696 18.00 United States Toledo 2.06 ... … 499 697 33.36 United States Cleveland 2.23 ... … 449 653 33.56 Fiji Suva 1.20 1.14 1.057 141 143 19.77 Angola Luanda 4.96 18.68 0.265 411 60 100.12 Benin Kandy 0.98 5.19 0.190 159 85 15.90 Benin Parakou 1.22 4.26 0.286 341 216 20.04

400 WORLD CITIES REPORT 2020

Table C.1: Continued

Country Cities Land Consumption Population Growth Ratio of Land Built-up area per Built-up area per Change in total Rate 2000 - 2015 (%) Rate 2000 - 2015 (%) consumption rate to capita 2000 (m2 per capita 2015 (m2 per built-up area 2000 - Population growth rate capita) capita) 2015 (%) 2000 - 2015 Benin Djougou 0.76 2.32 0.328 187 148 12.11 Benin Natitingou 1.33 2.09 0.637 151 135 22.06 Benin Bohicon-Abomey 3.63 2.27 1.600 246 301 72.45 Congo Dem. Rep. Lubumbashi 3.96 7.08 0.559 118 74 81.13 Congo Dem. Rep. Kinshasa 3.51 1.00 3.502 43 60 57.77 Ethiopia Adama Nazreth 2.59 3.20 0.810 97 89 47.51 Ethiopia Gondar 4.55 2.65 1.721 45 60 98.03 Ethiopia Addis Ababa 5.16 2.95 1.750 47 59 67.50 Ethiopia Dire Dawa 4.17 2.28 1.830 39 52 86.85 Ethiopia Harar 4.81 2.32 2.073 35 50 105.73 Ethiopia Awassa 8.97 2.95 3.046 37 90 284.25 Ethiopia BahirDar 6.06 1.86 3.260 26 49 148.19 Ghana Accra 3.56 3.35 1.062 134 138 64.57 Kenya Eldoret 1.25 3.43 0.365 137 99 20.70 Kenya Malaba 1.79 2.09 0.858 91 87 30.83 Kenya Nairobi 2.73 2.86 0.954 97 95 50.52 Kenya Kisumu 2.38 1.63 1.454 100 112 42.81 Kenya Nakuru 4.73 3.23 1.464 81 100 93.80 Kenya Meru 6.20 1.40 4.424 96 197 153.33 Kenya Nyeri 7.00 1.07 6.515 58 142 185.62 Madagascar Mahajanga 0.86 4.95 0.174 222 120 13.79 Madagascar Marovoay 0.76 2.32 0.329 100 79 12.11 Madagascar Toliara 1.47 4.21 0.349 638 423 24.68 Madagascar Antsiranana 3.55 4.35 0.817 360 319 70.44 Madagascar Taolanaro 1.19 1.18 1.009 101 101 19.47 Madagascar Antsirabe 2.72 1.71 1.585 295 343 50.27 Madagascar Antananarivo 8.87 4.66 1.906 62 117 278.50 Madagascar Toamasina 8.42 4.12 2.047 356 679 253.79 Madagascar Amparafaravola 1.53 0.42 3.646 82 96 25.85 Madagascar Fianarantsoa 3.27 ... … 870 1,439 63.35 Malawi Mzuzu 2.04 4.28 0.476 266 190 35.76 Malawi Blantyre 4.58 2.52 1.817 79 108 98.72 Mali Bamako 4.37 6.43 0.679 80 61 76.45 Mozambique Nacala Porto 0.42 2.46 0.172 207 152 6.56 Mozambique Alto Molocue 1.11 4.48 0.247 95 57 18.05 Mozambique Nampula 1.19 4.19 0.285 154 99 19.63 Mozambique Mocuba 0.80 2.78 0.287 95 71 12.69 Mozambique Gurue 1.22 2.99 0.408 51 39 20.06 Mozambique Manhica 1.99 2.79 0.713 240 213 34.80 Mozambique Maputo 2.07 2.71 0.763 213 193 36.37 Mozambique Maxixe 1.07 1.18 0.909 339 333 17.45 Mozambique Pemba 4.91 4.79 1.025 78 79 108.87 Mozambique Beira 1.49 0.81 1.838 97 107 23.23 Niger Agadez 5.84 25.16 0.232 1,863 103 140.28 Niger Maradi 3.36 4.33 0.776 55 47 65.55 Niger Dosso 2.40 2.29 1.045 18 18 43.28 Niger Zinder 4.26 3.79 1.124 27 29 89.41

401 Statistical Annex

Table C.1: Continued

Country Cities Land Consumption Population Growth Ratio of Land Built-up area per Built-up area per Change in total Rate 2000 - 2015 (%) Rate 2000 - 2015 (%) consumption rate to capita 2000 (m2 per capita 2015 (m2 per built-up area 2000 - Population growth rate capita) capita) 2015 (%) 2000 - 2015 Niger Niamey 3.71 3.00 1.238 70 78 74.47 Nigeria Lagos 2.05 2.91 0.705 55 50 30.61 Nigeria Ibadan 2.19 3.01 0.728 129 116 32.92 Nigeria Oyo 3.84 2.09 1.836 62 79 71.12 Nigeria Gombe 6.54 3.28 1.996 70 107 134.03 Rwanda Ruhengeri 1.66 3.87 0.427 88 67 21.97 Rwanda Gisenyi 5.17 5.48 0.943 77 74 85.98 Rwanda Gitarama 3.82 2.85 1.339 40 45 58.07 Rwanda Kigali 7.73 3.33 2.319 51 99 219.04 Rwanda Butare 4.42 1.74 2.542 43 64 94.10 Rwanda Kayonza 7.99 1.71 4.681 35 90 231.43 Rwanda Cyangugu 2.62 ... … 24 35 48.04 Senegal Ziguinchor 0.81 2.59 0.314 120 92 12.96 Senegal Diorbel 1.21 2.54 0.476 64 52 19.86 Senegal Dakar 1.61 2.81 0.571 63 52 27.25 Senegal SaintLouis 0.47 0.59 0.797 62 61 7.36 Senegal Kaolack 2.87 2.75 1.044 62 63 53.74 Senegal Louga 2.63 2.35 1.122 106 110 48.37 Senegal MBour 4.21 2.62 1.608 66 84 88.13 Senegal Touba 9.28 2.82 3.286 53 140 302.11 Senegal Thies 6.26 1.66 3.776 45 90 155.68 Tanzania Arusha 5.41 5.12 1.058 41 42 81.35 Uganda Kampala 2.84 5.17 0.549 110 83 40.61 Uganda Lira 2.26 3.78 0.598 148 118 40.37 Uganda Mbarara 2.04 2.79 0.732 132 118 35.88 Uganda Mbale 3.74 3.77 0.992 87 87 75.25 Uganda Gulu 3.81 3.53 1.080 61 63 77.14 Uganda Kasese 2.95 2.50 1.180 87 93 55.71 Uganda Masaka 4.35 3.50 1.242 118 133 92.15 Uganda Jinja 3.44 1.80 1.906 91 116 67.52 Zambia Ndola 2.16 3.10 0.695 122 109 29.52 Algeria Tolga 1.15 2.53 0.454 108 88 18.80 Algeria Djelfa 3.75 5.52 0.679 76 59 75.53 Algeria Chlef 1.34 1.59 0.840 124 119 22.21 Algeria Blida 2.09 2.31 0.904 105 101 36.81 Algeria El Khroub 4.42 4.61 0.960 95 93 94.13 Algeria Tebessa 2.18 2.02 1.077 115 118 32.68 Algeria Algiers 2.85 2.22 1.283 75 81 44.76 Algeria Oran 3.04 1.87 1.628 72 86 57.83 Algeria Khemis Miliana 2.45 1.07 2.293 77 95 44.40 Algeria Tamanrasset 3.90 1.50 2.595 185 265 79.39 Algeria Tiaret 4.61 1.57 2.929 62 98 99.70 Algeria M’Sila 6.57 1.91 3.434 65 130 167.89 Algeria Batna 3.96 0.96 4.126 60 94 81.03 Algeria Mila 4.62 1.07 4.307 68 116 100.09 Algeria Annaba 0.92 0.21 4.307 89 99 14.79 Azerbaijan Baku 2.03 1.73 1.174 97 101 30.19

402 WORLD CITIES REPORT 2020

Table C.1: Continued

Country Cities Land Consumption Population Growth Ratio of Land Built-up area per Built-up area per Change in total Rate 2000 - 2015 (%) Rate 2000 - 2015 (%) consumption rate to capita 2000 (m2 per capita 2015 (m2 per built-up area 2000 - Population growth rate capita) capita) 2015 (%) 2000 - 2015 Bahrain Al Manamahi 2.52 4.78 0.528 185 132 45.98 Egypt Asyut 1.46 2.06 0.710 46 42 24.51 Egypt Al_Manshah 1.68 1.91 0.880 55 53 28.64 Egypt Alexandria 2.02 1.72 1.176 48 50 32.67 Egypt Port Said 2.03 1.68 1.207 32 34 35.52 Egypt Al_zaqaziq 2.46 1.87 1.314 32 35 44.67 Egypt Diyarb Najm 3.00 1.95 1.538 56 66 56.95 Egypt Cairo 4.29 2.57 1.666 42 50 53.53 Egypt Al_Qhurdaqah 3.86 1.36 2.828 167 243 78.35 Iraq Baghdad 1.57 1.65 0.950 109 108 24.56 Israel Tel Aviv 1.71 1.99 0.859 134 129 27.03 Jordan Irbid 2.20 2.86 0.771 130 118 39.19 Jordan Ammani 3.28 2.85 1.151 82 88 63.45 Kuwait Kuwaitii 2.26 ... … 135 96 40.37 Lebanon Beirut 1.74 4.88 0.357 119 74 29.83 Lebanon Tripoli 2.40 4.30 0.557 211 159 43.28 Lebanon Zahle 1.98 3.13 0.631 323 272 34.54 Lebanon Baalbek 3.39 3.03 1.118 164 173 66.37 Lebanon Sidon 5.52 4.02 1.372 48 60 128.84 Lebanon Tyre 5.34 2.02 2.637 37 61 122.73 Morocco Aitemelloul 1.39 2.35 0.593 68 59 23.24 Morocco Temara 2.15 3.51 0.612 82 67 38.09 Morocco Sidi slimane 1.04 1.53 0.678 76 71 16.84 Morocco Tanger 2.42 2.94 0.823 70 64 43.71 Morocco Midelt 0.91 1.10 0.826 60 58 14.65 Morocco Fez 1.45 1.44 1.006 53 53 24.32 Morocco Oujda 2.05 1.36 1.506 83 93 36.00 Morocco Safi 0.96 0.59 1.635 59 63 15.45 Morocco Marrakesh 4.04 2.43 1.663 83 101 62.33 Morocco Casablancaiii 2.16 1.22 1.769 43 49 38.32 Morocco Maknes 2.95 1.46 2.020 54 68 55.68 Morocco Sefrou 1.18 0.52 2.295 47 52 19.43 Morocco Fikh Ben Salah 2.70 0.77 3.501 50 67 49.96 Morocco Azrou 3.35 0.57 5.898 39 59 65.17 Morocco Oulad teima 4.73 0.60 7.889 38 71 103.20 Oman Sohar 2.75 5.33 0.516 93 63 51.06 Oman Salalah 3.19 3.18 1.000 146 146 61.24 Oman Muscativ 6.84 5.03 1.360 79 104 179.02 Oman Al Buryami 2.89 ... … 80 90 54.26 Palestinian Al-Quds 0.38 1.53 0.249 180 151 5.89 territories Palestinian Rafah 3.95 2.97 1.330 74 85 80.84 territories Palestinian Jenin 3.46 1.84 1.879 99 126 67.99 territories Palestinian Nabulus(Nablus) 5.84 2.56 2.283 60 98 140.27 territories i Including surrounding neighborhoods ii Includes: Az-zarqa, Ar-Rusayfah, Al-Quwaysimah,Tila al-Ali, Wadi as-sir, Al-Jubayhah, Khraibat as-suq and Sahab iii Includes all the major cities Hawallī, Al-Farwānīyah, Al-Fintās, Al-Jahrā’, Janūb al-Kuwayt, Al-Manqaf, Al-Firdaws and Mubarāk al-Kabīr iv Includes Mohammedia town v Includes: Bawashar, Matrah, Aseed (Assib)

403 Statistical Annex

Table C.1: Continued

Country Cities Land Consumption Population Growth Ratio of Land Built-up area per Built-up area per Change in total Rate 2000 - 2015 (%) Rate 2000 - 2015 (%) consumption rate to capita 2000 (m2 per capita 2015 (m2 per built-up area 2000 - Population growth rate capita) capita) 2015 (%) 2000 - 2015 Palestinian Khān Yūnis (includes 5.84 2.56 2.283 60 98 140.27 territories Dayr al Balah ) Palestinian Al-Khalīl 3.44 1.47 2.342 136 183 67.59 territories Palestinian An-Nuṣayrāt 8.64 2.95 2.933 36 85 265.52 territories Qatar Doha 3.24 8.74 0.371 420 184 62.67 Qatar Al Shahaniya 6.22 9.46 0.658 567 349 154.19 Qatar Mesaieed 6.35 8.45 0.752 793 579 159.34 Qatar AlKhor_AlThakhira 6.69 8.70 0.768 183 136 172.71 Saudi Arabia Jiddah including Al 1.20 2.44 0.492 167 139 19.73 Khubar Saudi Arabia Al-Jubayl 1.34 2.56 0.522 462 385 22.19 Saudi Arabia Makkah 1.31 2.11 0.623 125 111 21.76 Saudi Arabia Al-Ḥawiyah 1.54 2.28 0.676 197 176 26.01 Saudi Arabia Al-Madinah 1.94 2.13 0.909 164 159 33.77 Saudi Arabia Al-Kharj 2.55 2.60 0.980 188 186 46.64 Saudi Arabia Ar-Rass 2.68 2.35 1.139 520 546 49.43 Saudi Arabia Riyadh 5.02 3.60 1.396 132 159 92.08 Saudi Arabia Tabuk 2.68 1.77 1.514 103 118 49.43 Saudi Arabia Al-Hufuf 5.30 2.86 1.851 127 183 121.30 Saudi Arabia Al-Khafji 4.91 2.57 1.911 315 447 108.73 Saudi Arabia Ha’il 3.63 1.87 1.947 182 238 72.41 Saudi Arabia Rafha’ 3.67 1.73 2.127 101 135 73.42 Saudi Arabia Ad-Dammam 6.31 2.76 2.287 123 209 157.57 Saudi Arabia ‘Ar’ar 3.17 1.33 2.375 88 116 60.79 Saudi Arabia At-Ta’if 6.38 2.24 2.854 60 113 160.48 Sudan Bur Sudan 2.52 4.57 0.551 136 100 45.87 Sudan Alfashir 4.32 3.57 1.211 62 69 91.14 Sudan Wad Madani 2.21 1.53 1.444 69 77 39.32 Sudan Khartoum 3.71 2.46 1.503 77 91 68.01 Sudan Dunqula 3.13 1.78 1.759 123 151 59.82 Sudan Atbara 2.83 1.40 2.026 97 120 52.81 Sudan Kassala 4.05 1.84 2.204 51 71 83.45 Sudan Sannar 4.38 1.50 2.924 56 87 92.81 Sudan Sinjah 5.41 1.55 3.478 50 89 125.00 Sudan Al Qadarif 2.77 0.76 3.632 90 122 51.54 Tunisia Susah 1.15 2.42 0.475 125 104 18.87 Tunisia Monastir 1.23 2.38 0.518 149 125 20.26 Tunisia Banzart 0.90 1.38 0.654 144 134 14.51 Tunisia Tozeur 1.19 1.81 0.657 399 363 19.49 Tunisia Al_Qayrawan 1.43 1.17 1.228 133 138 24.01 Tunisia Tunis (includes At- 2.46 1.44 1.710 88 102 44.68 Tadamun and Sukrah) Tunisia Qabis 2.59 1.39 1.859 82 98 47.47 Tunisia Safaqia 2.31 0.98 2.363 115 140 41.40 Turkey Ankara 1.47 2.96 0.495 96 77 24.61 Turkey Agri 0.93 1.69 0.550 145 129 14.91 Turkey Gaziantep 2.87 4.20 0.682 80 65 53.70 Turkey Balikesir 1.48 2.02 0.731 153 142 24.80

404 WORLD CITIES REPORT 2020

Table C.1: Continued

Notes: Land consumption rates are estimated based on classification of Landsat imagery for the years 1990, 2000 and 2015 Population data used to compute the population growth rate is GHS-POP City/urban area used in the analyis has been generated using a classification approach based on the Urban Extent or the Degree of Urbanization concepts to city definition

Source: United Nations Human Settlement Programme (UN-Habitat), Global Urban Indicators Database 2020

405 Statistical Annex

Table C.2: Proportion of Population Living within Convenient Walking Distance to Public Transport in Selected Cities (%), 2019

Country Cities Proportion of population living Country Cities Proportion of population living within convenient walking distance within convenient walking distance to public transport (%) to public transport (%) Australia Perth 45.45 India Malegaon 48.21 Australia Muswellbrook 66.20 India Belgaum 50.30 Australia Gold Coast 68.91 India Kolkata 54.34 Australia Sydney 69.59 India Coimbatore 62.83 Australia Cairns 75.28 India Vijayawada 70.61 Australia Wollogong 76.43 India Hyderabad 71.99 Australia Bunbury 81.79 India Pune 75.08 Australia Alice Spring 83.35 India Ahmedabad 78.67 Australia Canberra 84.80 India Mumbai 80.88 Australia Cessnock 87.69 Iran Ahvaz 11.70 Australia Melbourne 88.91 Iran Gorgan 12.77 Australia Brisbane 89.05 Iran Kashmar 19.49 Australia Shepparton 89.24 Iran Kashan 22.51 Australia Geelong 89.68 Iran Qom 22.61 Australia Darwin 91.56 Iran Bandar Abbas 36.34 Australia Laucenston 91.86 Iran Piranshahr 38.09 Australia Adeliade 92.55 Iran Sari 38.90 Australia HobartCity 94.31 Iran Shadegan 39.97 New Zealand Napier 89.44 Iran Babol 42.44 New Zealand Christ Church 90.28 Iran Eshfana 43.19 New Zealand Tauranga 91.71 Iran Salmas 50.75 New Zealand Dunedin 94.38 Iran Sanandaj 53.11 New Zealand Auckland 94.39 Iran Tehran 53.30 New Zealand Palmerston 95.56 Iran Aradabil 54.09 New Zealand Hamilton 96.49 Iran Bojnurd 55.70 New Zealand LowerHutt 97.08 Iran Dehdasht 62.19 New Zealand Wellington 97.67 Iran Arak 66.20 Afghanistan Kandahar 18.18 Kazakhstan Shymkent 22.17 Afghanistan Kabul 19.06 Kazakhstan Taraz 24.12 Afghanistan Herat 23.38 Kazakhstan Semei 31.23 Afghanistan Jalalabad 29.06 Kazakhstan Oskemen 38.95 Afghanistan Pol-e Khomri 29.55 Kazakhstan Almaty 39.05 Afghanistan Lashkar Bah 32.70 Kazakhstan Aktobe 40.52 Afghanistan Mazar-e Sharif 44.19 Kazakhstan Pavlodar 42.85 Afghanistan Charikar 65.86 Kazakhstan Qaragandy 53.58 Afghanistan Khanabad 87.81 Kazakhstan Astana (Nur-Sultan) 53.66 Bangladesh Saidpur 13.90 Nepal Pokhara 75.82 Bangladesh Rajshahi 18.88 Pakistan Gujranwala 5.63 Bangladesh Dhaka 44.77 Pakistan Peshawar 6.20 India Jalna 14.60 Pakistan Turbat 8.18 India Kanpur 16.06 Pakistan Quetta 8.49 India Sitapur 18.46 Pakistan Sialkot 9.91 India Singrauli 24.34 Pakistan Daska 11.09 India Parbhani 24.85 Pakistan Layyah 11.52 India Hindupur 26.13 Pakistan Sargodha 12.86 India Kozhikode 45.75 Pakistan Mardan 13.35 India Jaipur 47.92 Pakistan Jhang 14.53

406 WORLD CITIES REPORT 2020

Table C.2: Continued

Country Cities Proportion of population living Country Cities Proportion of population living within convenient walking distance within convenient walking distance to public transport (%) to public transport (%) Pakistan Khanpur 15.39 China Qingdao, Shandong 67.06 Pakistan Islamadad 19.66 China Kaiping, Guangdong 69.34 Pakistan Nawabshah 23.05 China Shenzhen, Guangdong 70.98 Pakistan Shikarpur 24.09 China Taipei, Taiwan 88.71 Pakistan Faisalabad 24.88 China Hong Kong, Hong Kong 98.80 Pakistan Lahore 31.19 Democratic People’s Songnim 4.52 Republic of Korea (North Pakistan Multan 32.23 Korea) Pakistan Hyderabad 58.45 Democratic People’s Sinuiju 9.78 Republic of Korea (North Pakistan Karachi 67.56 Korea) Sri-Lanka Chilaw, Ferry Street 24.19 Democratic People’s Kanggye 13.16 Republic of Korea (North Sri-Lanka Embilipitiya 25.12 Korea) Sri-Lanka Batticaloa 26.61 Democratic People’s Ranson 13.36 Republic of Korea (North Sri-Lanka Jaffna 27.39 Korea) Sri-Lanka Hambantota 42.84 Democratic People’s Chongju 13.55 Republic of Korea (North Sri-Lanka Anuradhapura 48.50 Korea) Sri-Lanka Haputale 53.59 Democratic People’s Chongjin 15.57 Republic of Korea (North Uzbekistan Bukhara 8.17 Korea) Uzbekistan Qarshi 9.99 Democratic People’s Pyongyang 17.66 Republic of Korea (North Uzbekistan Denau 10.19 Korea) Uzbekistan Andijan 11.60 Democratic People’s Hamhung 26.37 Republic of Korea (North Uzbekistan Bekobod 15.06 Korea) Uzbekistan Kokand 18.78 Indonesia Parepare 7.28 Uzbekistan Navoi_Karmana 19.93 Indonesia Cirebon 8.03 Uzbekistan Tashkent 23.06 Indonesia Pematangtiantar 8.04 Uzbekistan Nukus 41.92 Indonesia Pekalongan 13.90 China Guixi, Chongqing 10.26 Indonesia Jambi 14.23 China Yucheng, Zhejiang 12.90 Indonesia Jombang 14.23 China Chengguan, Guizhou 24.11 Indonesia Kendari 27.25 China Yanggu, Shandong 33.94 Indonesia BandaAceh 29.74 China Jinan, Shandong 34.30 Indonesia Surabaya 30.55 China Chengdu, Sichuan 34.67 Indonesia Semarang 33.41 China Hangzhou, Zhejiang 37.66 Indonesia Garut Kota 36.52 China Zunyi, Guizhou 40.77 Indonesia Samarinda 37.00 China Zhuji, Zhejiang 41.84 Indonesia Medan 41.49 China Tangshan, Hebei 42.62 Indonesia Pemalang 41.93 China Zhengzhou, Henan 43.73 Indonesia makassar 45.30 China Xingping, Shaanxi 46.70 Indonesia Purwakarta 46.91 China Beijing, Beijing 47.36 Indonesia Bandung 47.35 China Xucheng, Jiangsu 50.73 Indonesia Bengkulu 48.28 China Changzhi, Hunan 51.47 Indonesia Palembang 52.46 China Yiyang, Hunan 53.57 Japan Yamaguchi 20.18 China Tianjin, Tianjin 54.88 Japan Okayama 24.98 China Haikou, Hainan 56.49 Japan Osaka 69.42 China Changzhou, Jingsu 59.25 Japan Tokyo 74.03 China Leshan, Sichuan 59.28 Japan Fukuoka 95.39 China Gaoyou, Jiangsu 59.57 Malaysia Ipoh 38.06 China Wuhan, Hubei 60.05 Malaysia Rawang 41.10 China Guangzhou, Guangdong 63.74 Mongolia Ulaanbaatar 47.30

407 Statistical Annex

Table C.2: Continued

Country Cities Proportion of population living Country Cities Proportion of population living within convenient walking distance within convenient walking distance to public transport (%) to public transport (%) Myanmar Myitkyina 10.47 Costa Rica Puerto Limon 33.51 Myanmar Loikaw 15.75 Costa Rica Cartago 51.10 Myanmar Pathein 19.09 Costa Rica San Hose 59.26 Myanmar Lashio 19.53 Cuba Las Tunas 51.70 Myanmar Tachiliek 27.53 Cuba Bayamo 21.87 Myanmar Myede 31.48 Cuba Camaguey 48.05 Myanmar Naypyitaw 37.43 Cuba Cienfuego 48.22 Myanmar Kale 39.74 Cuba Santa Clara 52.65 Myanmar Mandalay 52.37 Cuba Holguin 62.59 Myanmar Myeik 61.57 Cuba Santiago De Cuba 65.38 Myanmar Taunggyi 66.23 Cuba Guantanamo 70.00 Myanmar Mawlamyine 66.59 Cuba LacHabana 80.09 Myanmar Yangon 70.46 Ecuador Quito 88.53 Philippines Bacolod 13.91 El Salvador San Salvador 48.95 Philippines Manila 32.46 Guatemala Guatemala City 24.25 Philippines Cebu City 48.08 Mexico Tijuana 5.92 Republic of Korea (South Cheonan 35.45 Mexico Culiacan 8.56 Korea) Mexico Reynosa 12.35 Republic of Korea (South Jinju 64.79 Korea) Mexico Guadalajara 21.46 Republic of Korea (South Seoul 70.56 Mexico Mexico City 40.43 Korea) Nicaragua Leon 64.84 Republic of Korea (South Gwangju 87.48 Korea) Uruguay Riviera 23.04 Republic of Korea (South Busan 89.64 Uruguay Paysandu 26.76 Korea) Uruguay Melo 34.97 Singapore Singapore 94.20 Uruguay Salto 45.89 Thailand Chaam 13.93 Uruguay Tacuarembo 51.65 Thailand ChiangRai 14.46 Uruguay Mercedes 62.53 Thailand Bangkok 26.05 Uruguay Montevideo+CiudadDeLaCosta 75.98 Thailand Khon Kaen 27.17 Uruguay LasPiedras 87.54 Thailand ChiangMai 33.92 Uruguay Maldonaldo 92.94 Thailand Phattalung 37.07 Venezuela Caracas 44.45 Thailand Chumpon 37.81 Austria Salzburg** 93.48 Vietnam Vinh Long 8.28 Austria Linz** 93.84 Vietnam Ho Chi Minh City 68.65 Austria Bregenz** 94.98 Argentina Cordoba 83.45 Austria Graz** 95.76 Argentina Buenos Aires 87.29 Austria Klagenfurt** 96.19 Bolivia Cochabamba 27.21 Austria Wien** 97.48 Brazil Jequie 10.37 Austria Innsbruck** 98.43 Brazil Palmas 11.50 Austria Vienna 96.02 Brazil Curitiba 70.86 Belarus Gomel 75.04 Brazil Belo Horizonte 85.82 Belarus Kobyrn 42.87 Brazil Sao Paulo 88.32 Belarus Polack 60.17 Brazil Florianopolis 88.78 Belarus Salihorsk 65.16 Brazil Ribeirao Preto 98.35 Belarus Brest 78.28 Chile Santiago 90.41 Belarus Mazyr 79.23 Colombia Valledupar 14.36 Belarus Babrujsk 83.57 Colombia Bogota 91.41 Belarus Viciebsk 84.42 Costa Rica Puntar Arenas_Barranca 26.42 Belarus Hrodna 87.25 Costa Rica Liberia 31.43

408 WORLD CITIES REPORT 2020

Table C.2: Continued

Country Cities Proportion of population living Country Cities Proportion of population living within convenient walking distance within convenient walking distance to public transport (%) to public transport (%) Belarus Minsk 91.03 Czech Republic Havířov** 94.37 Belgium Kapellen / Ekeren** 77.43 Czech Republic Plzeň** 96.33 Belgium Quaregnon / Frameries** 84.26 Czech Republic Kladno** 97.34 Belgium Mechelen** 93.19 Denmark Greve / Ishøj** 77.14 Belgium La Louvière** 93.63 Denmark Odense** 91.60 Belgium Liège** 93.86 Denmark København** 92.67 Belgium Charleroi** 93.93 Denmark Århus** 93.20 Belgium Oostende** 94.07 Denmark Aalborg** 94.13 Belgium Antwerpen** 95.28 Estonia Tallinn** 95.38 Belgium Verviers / Dison** 95.56 Estonia Tartu** 97.18 Belgium Brugge** 95.97 Estonia Narva** 97.99 Belgium Leuven** 96.17 Finland Oulu / Uleåborg** 92.08 Belgium Gent** 96.36 Finland Jyväskylä** 93.45 Belgium Namur** 96.70 Finland Tapiola / Niittykumpu** 93.76 Belgium Bruxelles / Brussel** 97.42 Finland Turku / Åbo** 95.78 Bosnia and Herzegovina Sarajevo** 61.92 Finland Helsinki / Helsingfors** 95.84 Bosnia and Herzegovina Banja Luka** 64.29 Finland Tampere / Tammerfors** 97.04 Bulgaria Dobrich** 87.65 France La Seyne-sur-Mer / Sanary- 86.07 sur-Mer** Bulgaria Varna** 88.00 France Rouen** 87.13 Bulgaria Yambol** 88.85 France Valenciennes** 90.22 Bulgaria Burgas** 89.18 France Ajaccio** 90.66 Bulgaria Stara Zagora** 90.12 France Antibes** 91.08 Bulgaria Sofia** 92.07 France Douai** 91.16 Bulgaria Ruse** 92.97 France Mulhouse** 91.82 Bulgaria Shumen** 93.42 France Avignon** 92.09 Bulgaria Veliko Tarnovo** 93.44 France Chambery** 92.09 Bulgaria Plovdiv** 93.67 France Toulouse** 92.54 Canada Victoria 85.34 France Fréjus** 92.67 Canada Montreal 93.94 France Cergy-Pontoise** 93.00 Croatia Zadar** 80.77 France Orléans** 93.23 Croatia Zagreb** 89.09 France Nimes** 93.96 Croatia Osijek** 89.87 France Clermont-Ferrand** 94.04 Croatia Split** 91.56 France Les Clayes-sous-Bois** 94.14 Croatia Rijeka** 92.30 France Strasbourg** 94.17 Cyprus Lemesos** 90.16 France Montpellier** 94.28 Czech Republic Hrabuvka** 60.85 France Marseille** 94.35 Czech Republic Chomutov / Jirkov** 84.76 France Perpignan** 94.36 Czech Republic Poruba** 87.09 France Nice** 94.56 Czech Republic Most** 91.53 France Colmar** 94.58 Czech Republic Ostrava** 91.67 France Amiens** 94.67 Czech Republic Liberec** 92.16 France Limoges** 95.12 Czech Republic České Budějovice** 92.23 France Lille** 95.14 Czech Republic Brno** 92.35 France Saint-Etienne** 95.37 Czech Republic Hradec Králové** 92.64 France Aix-en-Provence** 95.38 Czech Republic Pardubice** 92.91 France Poissy** 95.66 Czech Republic Olomouc** 92.94 France Poitiers** 95.76 Czech Republic Ústí nad Labem** 92.99 France Le Mans** 95.79 Czech Republic Praha** 93.73 France Tours** 95.82

409 Statistical Annex

Table C.2: Continued

Country Cities Proportion of population living Country Cities Proportion of population living within convenient walking distance within convenient walking distance to public transport (%) to public transport (%) France Belfort** 95.86 Germany Potsdam** 88.85 France Bourges** 95.87 Germany Moers / Rheinhausen** 89.32 France Meaux** 95.95 Germany Erfurt** 89.70 France Toulon** 96.02 Germany Bremen** 89.83 France Chartres** 96.12 Germany Stuttgart** 89.87 France Dijon** 96.24 Germany Jena** 90.05 France Bordeaux** 96.28 Germany Bremerhaven** 90.47 France Besançon** 96.36 Germany Hamburg** 90.50 France Maurepas / Montigny-le- 96.48 Germany Köln** 90.66 Bretonneux** Germany Halle an der Saale** 90.79 France Saint-Brieuc** 96.65 Germany Freiburg im Breisgau** 90.87 France Grenoble** 96.76 Germany Oldenburg (Oldenburg)** 91.09 France Calais** 96.93 Germany Harburg** 91.36 France Pau** 96.93 Germany Karlsruhe** 91.69 France Valence** 97.01 Germany Mainz** 91.70 France Reims** 97.11 Germany Braunschweig** 91.80 France La Rochelle** 97.13 Germany Flensburg** 91.81 France Brest** 97.14 Germany Lübeck** 91.91 France Troyes** 97.21 Germany Hannover** 91.99 France Bayonne** 97.25 Germany Leipzig** 92.01 France Nantes** 97.33 Germany Krefeld** 92.04 France Metz** 97.35 Germany Esslingen am Neckar** 92.26 France Melun** 97.40 Germany Neuss** 92.45 France Angers** 97.47 Germany Leverkusen** 92.66 France Lyon 97.49 Germany Berlin** 92.88 France Mantes en Yvelines** 97.51 Germany Augsburg** 92.91 France Béziers** 97.53 Germany Bonn** 93.02 France Paris** 97.66 Germany Haunstetten** 93.15 France Nancy** 97.75 Germany Göppingen** 93.31 France Annecy** 97.77 Germany Ruhrgebiet** 93.53 France Dunkerque** 97.77 Germany Duisburg** 93.57 France Caen** 97.92 Germany Bocholt** 93.60 France Arras** 97.98 Germany München** 93.62 France Saint-Quentin** 98.15 Germany Marl** 93.62 France Le Havre** 98.43 Germany Bielefeld** 93.66 France Rennes** 98.50 Germany Rostock** 93.68 France Martigues / Port-de-Bouc** 98.70 Germany Lünen** 93.73 France Boulogne-sur-mer** 98.79 Germany Herzogenrath** 93.78 Germany Porz** 78.80 Germany Cottbus** 93.80 Germany Gröpelingen / Vegesack** 79.69 Germany Landshut** 93.90 Germany Bad Soden am Taunus / 84.59 Kelkheim** Germany Münster** 93.94 Germany Reutlingen** 84.69 Germany Gevelsberg / Schwelm** 94.00 Germany Gera** 85.72 Germany Chemnitz** 94.02 Germany Mannheim/Ludwigshafen** 86.32 Germany Kiel** 94.05 Germany Plauen** 86.46 Germany Hamm** 94.07 Germany Lütten Klein** 86.98 Germany Frankfurt (Oder)** 94.15 Germany Vaihingen / Möhringen** 87.86 Germany Dresden** 94.17 Germany Magdeburg** 88.77 Germany Delmenhorst** 94.22

410 WORLD CITIES REPORT 2020

Table C.2: Continued

Country Cities Proportion of population living Country Cities Proportion of population living within convenient walking distance within convenient walking distance to public transport (%) to public transport (%) Germany Erlangen** 94.25 Greece Chania** 78.17 Germany Osnabrück** 94.28 Greece Irakleio** 94.24 Germany Würzburg** 94.31 Greece Athina** 97.02 Germany Düren** 94.33 Greece Thessaloniki** 98.80 Germany Wolfsburg** 94.39 Greece Kavala** 99.29 Germany Neumünster** 94.50 Hungary Érd** 75.36 Germany Solingen / Wuppertal** 94.50 Hungary Tatabánya** 86.92 Germany Düsseldorf** 94.70 Hungary Pécs** 89.70 Germany Hildesheim** 94.84 Hungary Rákosliget** 90.27 Germany Darmstadt** 94.86 Hungary Nyíregyháza** 92.08 Germany Fürth** 94.94 Hungary Szeged** 92.28 Germany Ulm/Neu-Ulm** 94.95 Hungary Miskolc** 93.11 Germany Frankfurt am Main** 94.96 Hungary Székesfehérvár** 93.34 Germany Sindelfingen** 95.02 Hungary Kecskemét** 95.45 Germany Gütersloh** 95.02 Hungary Debrecen** 95.52 Germany Koblenz** 95.12 Hungary Szombathely** 95.83 Germany Benrath** 95.13 Hungary Budapest** 96.47 Germany Görlitz** 95.17 Hungary Gyõr** 97.60 Germany Hagen** 95.24 Hungary Veszprém** 97.89 Germany Heilbronn** 95.26 Iceland Reykjavík** 91.43 Germany Kassel** 95.28 Ireland Limerick** 84.55 Germany Wiesbaden** 95.38 Ireland Swords / Malahide** 87.54 Germany Rüsselsheim am Main** 95.46 Ireland Blanchardstown** 91.71 Germany Regensburg** 95.49 Ireland Dublin** 92.65 Germany Ludwigsburg** 95.77 Ireland Cork** 94.40 Germany Aachen** 95.86 Italy Pozzuoli / Bacoli** 70.46 Germany Iserlohn** 95.88 Italy Bergamo** 82.61 Germany Lüneburg** 95.89 Italy Cerignola** 85.68 Germany Göttingen** 96.00 Italy Catania** 86.75 Germany Heidelberg** 96.36 Italy Venezia** 87.36 Germany Mönchengladbach** 96.39 Italy Padova** 89.38 Germany Saarbrücken** 96.50 Italy Brescia** 90.31 Germany Ingolstadt** 96.55 Italy Como** 90.35 Germany Kempten (Allgäu)** 96.64 Italy Pisa** 90.37 Germany Trier** 96.72 Italy Alessandria** 90.63 Germany Tübingen** 96.85 Italy Vicenza** 91.34 Germany Hanau** 96.92 Italy Bari** 91.66 Germany Lüdenscheid** 97.04 Italy Pordenone** 92.54 Germany Bamberg** 97.10 Italy Perugia** 93.16 Germany Remscheid** 97.23 Italy Palermo** 93.87 Germany Gießen** 97.52 Italy Matera** 94.06 Germany Paderborn** 97.69 Italy Ferrara** 94.34 Germany Schweinfurt** 97.89 Italy Verona** 95.31 Germany Rosenheim** 98.22 Italy Modena** 95.70 Germany Pforzheim** 98.75 Italy Roma** 96.14 Germany Kaiserslautern** 98.83 Italy Sassuolo** 96.16 Germany Bayreuth** 99.16 Italy Mestre** 96.69 Greece Ioannina** 74.79 Italy Lecce** 97.05

411 Statistical Annex

Table C.2: Continued

Country Cities Proportion of population living Country Cities Proportion of population living within convenient walking distance within convenient walking distance to public transport (%) to public transport (%) Italy Siracusa** 97.46 Netherlands Ede** 84.28 Italy Novara** 97.54 Netherlands Helmond** 84.56 Italy Reggio di Calabria** 97.60 Netherlands Beverwijk/Heemskerk** 84.97 Italy Udine** 97.66 Netherlands Lelystad** 85.54 Italy Prato** 97.86 Netherlands s-Hertogenbosch** 85.87 Italy Torino** 98.01 Netherlands Heerlen** 85.97 Italy Trento** 98.06 Netherlands Nieuwegein / IJsselstein** 86.12 Italy Messina** 98.06 Netherlands Deventer** 87.58 Italy Bologna** 98.09 Netherlands Hengelo** 88.50 Italy Brindisi** 98.10 Netherlands Roosendaal** 88.66 Italy Barletta** 98.15 Netherlands Bergen op Zoom** 89.00 Italy Gela** 98.21 Netherlands Eindhoven** 89.47 Italy Pavia** 98.25 Netherlands Hoorn** 89.61 Italy Firenze** 98.29 Netherlands Rotterdam** 89.99 Italy Livorno** 98.56 Netherlands Gouda** 90.17 Italy Cagliari** 98.68 Netherlands Almelo** 90.29 Italy Sassari** 98.87 Netherlands Enschede** 90.51 Italy Bolzano** 98.88 Netherlands Venlo** 91.65 Italy Ancona** 98.97 Netherlands Arnhem** 91.75 Italy Asti** 99.00 Netherlands s-Gravenhage** 91.93 Italy Grosseto** 99.11 Netherlands Tilburg** 92.39 Italy Arezzo** 99.26 Netherlands Nijmegen** 92.67 Italy Genova** 99.50 Netherlands Amersfoort** 92.82 Italy Pesaro** 99.73 Netherlands Amsterdam** 92.88 Italy Ostia** 99.89 Netherlands Breda** 92.93 Italy Milan 77.71 Netherlands Leiden** 92.95 Latvia Daugavpils** 85.96 Netherlands Zwolle** 92.99 Latvia Liepāja** 90.37 Netherlands Spijkenisse** 93.03 Latvia Rīga** 92.73 Netherlands Haarlem** 93.35 Lithuania Šiauliai** 83.48 Netherlands Alkmaar** 93.59 Lithuania Kaunas** 87.81 Netherlands Apeldoorn** 94.18 Lithuania Vilnius** 87.88 Netherlands Leeuwarden** 94.26 Lithuania Panevėžys** 91.03 Netherlands Maastricht** 94.31 Lithuania Klaipėda** 92.15 Netherlands Groningen** 94.49 Luxembourg Luxembourg** 97.43 Netherlands Hilversum** 95.62 Malta Valletta** 97.28 Netherlands Dordrecht** 95.89 Monaco Monaco** 73.98 Netherlands Purmerend** 97.07 Netherlands Oss** 47.45 Netherlands Utrecht** 97.88 Netherlands Pijnacker / Berkel en 64.21 Norway Lørenskog / Lillestrøm** 85.40 Rodenrijs** Norway Bergen** 89.73 Netherlands Veenendaal** 64.32 Norway Oslo** 92.01 Netherlands Assen** 65.41 Norway Stavanger** 93.65 Netherlands Soest / Baarn** 67.78 Poland Jastrzębie-Zdrój** 81.34 Netherlands Sittard-Geleen** 71.40 Poland Bielsko-Biała** 82.92 Netherlands Zoetermeer** 72.30 Poland Wałbrzych** 83.54 Netherlands Vleuten / De Meern** 74.09 Poland Tczew** 85.40 Netherlands Almere** 74.86 Poland Legionowo** 86.26 Netherlands Alphen aan den Rijn** 77.99 Poland Lublin** 87.19 Netherlands Haarlemmermeer** 80.67

412 WORLD CITIES REPORT 2020

Table C.2: Continued

Country Cities Proportion of population living Country Cities Proportion of population living within convenient walking distance within convenient walking distance to public transport (%) to public transport (%) Poland Częstochowa** 89.57 Poland Ełk** 97.65 Poland Rybnik** 89.70 Poland Słupsk** 97.93 Poland Koszalin** 90.41 Poland Tomaszów Mazowiecki** 98.09 Poland Bydgoszcz** 90.45 Poland Nowy Sącz** 98.17 Poland Górnośląski Związek 90.54 Poland Ostrowiec Świętokrzyski** 98.37 Metropolitalny** Poland Pabianice** 98.61 Poland Kielce** 90.63 Poland Stalowa Wola** 99.23 Poland Płock** 90.77 Poland Mielec 51.69 Poland Gorzów Wielkopolski** 90.91 Poland Katowice 86.47 Poland Kasztelanka** 91.13 Portugal Barreiro** 76.01 Poland Zgierz** 91.64 Portugal Coimbra** 91.14 Poland Gdańsk** 91.67 Portugal Funchal** 91.69 Poland Rzeszów** 91.99 Portugal Almada** 95.96 Poland Inowrocław** 92.25 Portugal Amora** 98.22 Poland Gniezno** 92.27 Portugal Braga** 98.71 Poland Głogów** 92.38 Portugal Setúbal** 98.99 Poland Mysłowice** 92.44 Romania Iaşi** 80.36 Poland Gliwice** 92.51 Romania Craiova** 84.75 Poland Zielona Góra** 92.62 Romania Bucureşti** 85.57 Poland Poznań** 92.86 Romania Sibiu** 87.35 Poland Radom** 92.95 Romania Cluj-Napoca** 88.24 Poland Zamość** 93.28 Romania Braşov** 90.57 Poland Warszawa** 93.52 Romania Constanţa** 91.44 Poland Białystok** 93.57 Romania Timişoara** 91.70 Poland Kraków** 93.60 Romania Mangalia 26.69 Poland Stargard Szczeciński** 93.65 Romania Falticeni 30.16 Poland Opole** 93.68 Romania Targu Jiu 38.54 Poland Łódź** 93.76 Romania Reghin 60.43 Poland Belchatow** 93.80 Romania Navodari 78.68 Poland Świdnica** 93.83 Romania ARad 83.20 Poland Piotrków Trybunalski** 94.02 Romania CampiaTurzii 83.76 Poland Olsztyn** 94.03 Russia Berezniki 65.66 Poland Tychy** 94.20 Russia Dzerzhinsk 69.83 Poland Jelenia Góra** 94.20 Russia Astrakhan 73.90 Poland Wrocław** 94.57 Russia Tyumen 81.69 Poland Toruń** 94.59 Russia Moscow 85.91 Poland Legnica** 94.61 Russia Saint Petersburg 90.21 Poland Suwałki** 94.72 Serbia Borča** 68.04 Poland Chełm** 94.97 Serbia Novi Sad** 76.28 Poland Szczecin** 94.98 Serbia Niš** 85.00 Poland Piła** 95.06 Serbia Beograd** 90.28 Poland Gdynia** 95.11 Serbia Novi Pazar 19.60 Poland Elbląg** 95.89 Serbia Zrenjanin 32.48 Poland Przemyśl** 96.17 Serbia Kragujevac 33.58 Poland Grudziądz** 96.89 Serbia Kikinda 36.78 Poland Łomża** 96.97 Serbia Pozarevac 36.97 Poland Włocławek** 97.28 Serbia Belgrade 91.61 Poland Kalisz** 97.32 Slovakia Martin** 84.38 Poland Ostrów Wielkopolski** 97.36

413 Statistical Annex

Table C.2: Continued

Country Cities Proportion of population living Country Cities Proportion of population living within convenient walking distance within convenient walking distance to public transport (%) to public transport (%) Slovakia Košice** 91.84 Spain Madrid** 98.44 Slovakia Nitra** 92.30 Spain Talavera de la Reina** 98.44 Slovakia Žilina** 93.35 Spain Gijón** 98.47 Slovakia Bratislava** 94.10 Spain Oviedo** 98.48 Slovakia Trnava** 95.13 Spain Logroño** 98.50 Slovakia Banská Bystrica** 95.78 Spain Manresa** 98.53 Slovenia Ljubljana** 92.53 Spain Santa Cruz de Tenerife** 98.57 Spain Santa Monica** 78.00 Spain Sant Boi de Llobregat** 98.63 Spain Murcia** 80.08 Spain Salamanca** 98.67 Spain Sabadell** 84.17 Spain Santander** 98.74 Spain Torremolinos** 86.85 Spain Albacete** 98.89 Spain Valencia** 87.95 Spain Zaragoza** 98.93 Spain Terrassa** 89.77 Spain Cáceres** 98.95 Spain Cádiz** 90.86 Spain Elche/Elx** 98.97 Spain Puerto de la Cruz** 91.69 Spain Vitoria/Gasteiz** 99.02 Spain Almería** 92.01 Spain Palencia** 99.07 Spain Avilés** 93.21 Spain Vigo** 99.09 Spain Benidorm** 93.38 Spain Parla** 99.12 Spain Torrevieja** 93.40 Spain Igualada** 99.33 Spain Ferrol** 93.57 Spain Barcelona** 99.68 Spain el Masnou** 93.91 Sweden Västerås** 79.71 Spain Granada** 94.61 Sweden Täby** 80.79 Spain Santiago de Compostela** 95.71 Sweden Umeå** 82.89 Spain Palma de Mallorca** 95.79 Sweden Örebro** 83.17 Spain Melilla** 96.34 Sweden Haninge** 84.87 Spain Bilbao** 96.74 Sweden Göteborg** 85.05 Spain Viladecans** 96.90 Sweden Norrköping** 85.89 Spain Pamplona/Iruña** 96.93 Sweden Helsingborg** 88.41 Spain Alicante/Alacant** 97.04 Sweden Södertälje** 88.65 Spain Castelldefels** 97.11 Sweden Stockholm** 89.14 Spain Irun** 97.17 Sweden Lund** 89.92 Spain A Coruña** 97.19 Sweden Borås** 90.12 Spain Mollet del Vallès** 97.45 Sweden Linköping** 91.11 Spain Valdemoro** 97.48 Sweden Malmö** 93.21 Spain Málaga** 97.69 Sweden Uppsala** 93.73 Spain Cartagena** 97.72 Switzerland Luzern** 91.90 Spain Tarragona** 97.73 Switzerland Fribourg** 92.54 Spain Alcoi/Alcoy** 97.85 Switzerland Winterthur** 93.67 Spain El Prat de Llobregat** 97.87 Switzerland Bern** 94.31 Spain Zamora** 97.93 Switzerland Biel/Bienne** 94.85 Spain Sevilla** 98.00 Switzerland Basel** 95.42 Spain Coslada** 98.02 Switzerland Lugano** 95.69 Spain Burgos** 98.17 Switzerland Zürich** 96.19 Spain San Sebastián/Donostia** 98.20 Switzerland Lausanne** 96.34 Spain Reus** 98.36 Switzerland Thun** 96.62 Spain Vilanova i la Geltrú** 98.42 Switzerland Genève** 96.79 Spain Valladolid** 98.43 Switzerland St. Gallen** 97.16 Spain Toledo** 98.43 Switzerland Neuchatel 89.13

414 WORLD CITIES REPORT 2020

Table C.2: Continued

Country Cities Proportion of population living Country Cities Proportion of population living within convenient walking distance within convenient walking distance to public transport (%) to public transport (%) Switzerland Emmen_Lucerne 93.46 United Kingdom Lincoln** 95.09 Switzerland Wetzikon 97.07 United Kingdom Portsmouth** 95.14 Ukraine Rovno 75.89 United Kingdom Cambridge** 95.16 Ukraine Nikolaev 79.46 United Kingdom Eastleigh** 95.18 United Kingdom Peterborough** 85.62 United Kingdom Swindon** 95.19 United Kingdom Rustington** 86.70 United Kingdom Leicester** 95.25 United Kingdom Blantyre / Hamilton** 87.61 United Kingdom Tamworth** 95.39 United Kingdom Woking** 89.11 United Kingdom Greater Manchester** 95.42 United Kingdom Halton** 89.34 United Kingdom Stafford** 95.46 United Kingdom Thurrock** 89.76 United Kingdom Taunton** 95.53 United Kingdom Frimley / Farnborough** 90.01 United Kingdom Newcastle-under-Lyme** 95.60 United Kingdom Redditch** 90.85 United Kingdom Burton-on-Trent** 95.66 United Kingdom Motherwell / Wishaw** 90.87 United Kingdom Shrewsbury** 95.68 United Kingdom Bracknell** 91.21 United Kingdom Colchester** 95.68 United Kingdom Hartlepool** 91.27 United Kingdom Stevenage** 95.70 United Kingdom Aldwick / Felpham** 91.77 United Kingdom Kingston-upon-Hull** 95.71 United Kingdom Bangor** 91.82 United Kingdom Medway** 95.77 United Kingdom Southend-on-Sea** 91.96 United Kingdom Barnsley** 95.86 United Kingdom Slough** 92.07 United Kingdom Leeds / Bradford** 95.88 United Kingdom Coatbridge** 92.20 United Kingdom Warwick** 95.89 United Kingdom Washington** 92.30 United Kingdom Northampton** 95.98 United Kingdom Livingston** 92.58 United Kingdom Stockton-on-Tees** 95.98 United Kingdom Telford** 92.58 United Kingdom Wakefield** 95.99 United Kingdom East Kilbride** 92.80 United Kingdom Bournemouth** 96.00 United Kingdom Milton Keynes** 92.83 United Kingdom Mansfield** 96.00 United Kingdom Cannock / Hednesford** 93.04 United Kingdom Birmingham** 96.02 United Kingdom Harrogate** 93.43 United Kingdom Maidstone** 96.06 United Kingdom Rugby** 93.48 United Kingdom Basingstoke and Deane** 96.07 United Kingdom Redhill / Reigate** 93.49 United Kingdom Derry** 96.27 United Kingdom Kettering** 93.53 United Kingdom Aylesbury** 96.28 United Kingdom Tunbridge Wells** 93.82 United Kingdom Crawley** 96.32 United Kingdom Belfast** 93.95 United Kingdom Waveney** 96.36 United Kingdom Thatcham** 94.02 United Kingdom Crewe** 96.40 United Kingdom Basildon** 94.12 United Kingdom Norwich** 96.42 United Kingdom Falkirk** 94.31 United Kingdom Cheltenham** 96.43 United Kingdom Reading** 94.41 United Kingdom Hastings** 96.47 United Kingdom Warrington** 94.44 United Kingdom Scunthorpe** 96.50 United Kingdom Gloucester** 94.58 United Kingdom Preston** 96.51 United Kingdom Oxford** 94.59 United Kingdom Ashford** 96.51 United Kingdom Sutton in Ashfield** 94.60 United Kingdom Kidderminster** 96.55 United Kingdom Ayr / Prestwick** 94.69 United Kingdom Ellesmere Port** 96.56 United Kingdom Wigan / Skelmersdale** 94.69 United Kingdom Great Yarmouth** 96.56 United Kingdom Wycombe** 94.71 United Kingdom Bristol** 96.57 United Kingdom Glasgow** 94.76 United Kingdom Edinburgh** 96.65 United Kingdom London** 94.79 United Kingdom Blackburn with Darwen** 96.67 United Kingdom Grimsby / Cleethorpes** 94.79 United Kingdom Newport** 96.84 United Kingdom Nuneaton** 94.99 United Kingdom Liverpool** 96.89 United Kingdom Worcester** 95.00 United Kingdom Thanet** 96.92

415 Statistical Annex

Table C.2: Continued

Country Cities Proportion of population living Country Cities Proportion of population living within convenient walking distance within convenient walking distance to public transport (%) to public transport (%) United Kingdom Southampton** 96.93 United States Chicago 39.14 United Kingdom Plymouth** 96.96 United States Springfield, MA 54.96 United Kingdom Luton** 97.00 United States Toledo 56.17 United Kingdom Derby** 97.02 United States Philadelphia 59.22 United Kingdom Tyneside conurbation** 97.05 United States Minneapolis 59.76 United Kingdom Eastbourne** 97.08 United States Modesto 60.56 United Kingdom St Albans** 97.13 United States Portland, OR 68.32 United Kingdom Rotherham** 97.14 United States New York 69.83 United Kingdom Corby** 97.16 United States Gainesville, FL 73.74 United Kingdom Worthing** 97.20 Fiji Suva 13.82 United Kingdom Weston-super-Mare** 97.21 Angola Luanda 10.67 United Kingdom Greater Nottingham** 97.25 Benin Parakou 11.22 United Kingdom Dacorum** 97.26 Benin Djougou 24.50 United Kingdom Cardiff** 97.27 Benin Natitingou 25.19 United Kingdom Huddersfield** 97.34 Benin Kandy 28.94 United Kingdom Loughborough** 97.35 Congo Dem. Rep. Lubumbashi 4.56 United Kingdom Bedford** 97.37 Congo Dem. Rep. Kinshasa 17.42 United Kingdom Maidenhead** 97.44 Ethiopia Dire Dawa 24.47 United Kingdom Gravesham** 97.45 Ethiopia Adama Nazreth 26.12 United Kingdom Coventry** 97.47 Ethiopia Harar 26.52 United Kingdom Harlow** 97.48 Ethiopia Gondar 29.18 United Kingdom Keighley** 97.56 Ethiopia Addis Ababa 31.54 United Kingdom York** 97.70 Ethiopia Awassa 38.54 United Kingdom Dundee City** 97.78 Ethiopia BahirDar 46.18 United Kingdom Doncaster** 97.81 Ghana Accra 52.46 United Kingdom Aberdeen** 97.83 Kenya Nakuru 12.89 United Kingdom Burnley** 97.93 Kenya Eldoret 15.17 United Kingdom Hereford** 97.98 Kenya Meru 18.90 United Kingdom Chelmsford** 98.03 Kenya Nyeri 23.91 United Kingdom Darlington** 98.11 Kenya Kisumu 27.63 United Kingdom Swansea** 98.17 Kenya Malaba 52.01 United Kingdom Exeter** 98.22 Kenya Nairobi 58.03 United Kingdom Guildford** 98.24 Madagascar Toamasina 31.06 United Kingdom Hyndburn** 98.32 Madagascar Mahajanga 46.54 United Kingdom Ipswich** 98.37 Madagascar Antsiranana 48.34 United Kingdom Carlisle** 98.47 Madagascar Fianarantsoa 52.80 United Kingdom Chesterfield** 98.50 Madagascar Antananarivo 53.64 United Kingdom Bath** 98.65 Madagascar Toliara 54.84 United Kingdom Blackpool** 98.65 Madagascar Antsirabe 65.90 United Kingdom Torbay** 98.73 Madagascar Marovoay 69.91 United Kingdom Halifax** 98.80 Madagascar Amparafaravola 70.88 United Kingdom Sefton** 99.03 Madagascar Taolanaro 74.11 United Kingdom Chester** 99.11 Malawi Blantyre 15.38 United Kingdom Brighton** 99.31 Malawi Mzuzu 21.40 United Kingdom Sheffield 98.21 Malawi Zomba 32.38 United Kingdom Manchester 98.39 Mali Bamako 64.52 United States Killeen 28.00 Mozambique Beira 7.85 United States Raleigh 33.45 Mozambique Nampula 10.37

416 WORLD CITIES REPORT 2020

Table C.2: Continued

Country Cities Proportion of population living Country Cities Proportion of population living within convenient walking distance within convenient walking distance to public transport (%) to public transport (%) Mozambique Nacala Porto 26.26 Algeria Chlef 26.64 Mozambique Gurue 31.63 Algeria Tamanrasset 32.23 Mozambique Maxixe 35.68 Algeria El Khroub 34.07 Mozambique Mocuba 41.13 Algeria Tiaret 38.42 Mozambique Pemba 45.97 Algeria Blida 41.07 Mozambique Manhica 49.45 Algeria Khemis Miliana 43.24 Mozambique Maputo 52.18 Algeria Oran 45.00 Mozambique Alto Molocue 53.74 Algeria Batna 45.08 Niger Dosso 9.00 Algeria Tolga 45.29 Niger Niamey 12.50 Algeria Algiers 47.99 Niger Maradi 16.30 Algeria M’Sila 50.92 Niger Agadez 17.23 Algeria Mila 52.41 Niger Zinder 31.03 Azerbaijan Baku 83.14 Nigeria Gombe 7.46 Bahrain Al Manamah (incluidng 21.23 surrounding neighborhoods) Nigeria Ibadan 11.81 Egypt Al_zaqaziq 13.07 Nigeria Oyo 20.70 Egypt Al_Qhurdaqah 14.97 Nigeria Lagos 38.11 Egypt Al_Manshah 17.04 Rwanda Gisenyi 12.80 Egypt Cairo 21.24 Rwanda Ruhengeri 20.04 Egypt Diyarb Najm 21.60 Rwanda Nyanza 24.16 Egypt Asyut 22.78 Rwanda Kayonza 26.93 Egypt Port Said 27.78 Rwanda Gitarama 28.85 Egypt Alexandria 35.98 Rwanda Butare 28.89 Iraq Baghdad 8.11 Rwanda Cyangugu 33.09 Israel Tel Aviv 84.82 Rwanda Kigali 50.33 Jordan Irbid 4.64 Senegal Touba 15.91 Jordan Ammana 10.05 Senegal Kaolack 20.68 Kuwait Kuwaitb 39.02 Senegal Ziguinchor 22.39 Lebanon Baalbek 8.24 Senegal Diorbel 32.35 Lebanon Tyre 10.62 Senegal Thies 35.51 Lebanon Beirut 20.05 Senegal Louga 38.70 Lebanon Sidon 24.41 Senegal MBour 38.87 Lebanon Tripoli 30.88 Senegal SaintLouis 58.69 Lebanon Zahle 49.00 Senegal Dakar 62.98 Morocco Oujda 15.35 South Africa Port Elizabeth 5.61 Morocco Sefrou 29.98 South Africa Johannesburg 20.78 Morocco Maknes 31.60 Tanzania Arusha 21.70 Morocco Azrou 32.30 Uganda Masaka 8.43 Morocco Temara 34.57 Uganda Lira 11.18 Morocco Oulad teima 35.71 Uganda Jinja 11.51 Morocco Sidi slimane 36.99 Uganda Mbale 11.60 Morocco Fez 39.10 Uganda Gulu 14.74 Morocco Fikh Ben Salah 52.10 Uganda Mbarara 16.56 Morocco Safi 62.11 Uganda Kasese 21.49 Morocco Midelt 64.44 Uganda Kampala 48.66 Morocco Casablancac 66.48 Zambia Ndola 9.39 Morocco Tanger 70.76 Algeria Tebessa 15.32 Morocco Aitemelloul 73.53 Algeria Annaba 15.38 Morocco Marrakesh 74.79 Algeria Djelfa 25.06

417 Statistical Annex

Table C.2: Continued

Country Cities Proportion of population living Country Cities Proportion of population living within convenient walking distance within convenient walking distance to public transport (%) to public transport (%) Oman Al Buryami 9.96 Turkey Çerkezköy 47.80 Oman Salalah 17.96 Turkey Sanliurfa 53.36 Oman Muscatd 30.76 Turkey Corum 54.71 Oman Sohar 52.86 Turkey Nigde 57.75 Palestinian territories Ghazzahe 7.71 Turkey Malatya 59.21 Palestinian territories Nabulus (Nablus) 15.17 Turkey Adiyaman 60.15 Palestinian territories Al-Khalīl 18.05 Turkey Gaziantep 60.60 Palestinian territories An-Nuṣayrāt 18.72 Turkey Carasamba 63.89 Palestinian territories Jenin 21.15 Turkey Tarsus 65.55 Palestinian territories Rafaḥ 23.82 Turkey Denzili 68.34 Palestinian territories Khān Yūnisf 28.97 Turkey Antalya 70.79 Palestinian territories Al-Quds 52.79 Turkey Sivas 75.04 Qatar Al Shahaniya 16.75 Turkey Bursa 77.83 Qatar Mesaieed 16.82 Turkey Izmir 83.28 Qatar AlKhor_AlThakhira 35.41 Turkey Balikesir 85.60 Qatar Doha 62.37 Turkey Uzunköprü 88.46 Saudi Arabia Al-Madinah 4.38 Turkey Istanbul 91.14 Saudi Arabia Makkah 5.49 UAE Al Ain 9.83 Saudi Arabia Ar’ar 6.64 UAE Abu Dhabi 27.30 Saudi Arabia Al-Khafji 7.54 UAE Dubaih 41.21 Saudi Arabia Riyadh 8.63 Yemen Sana 15.16 Saudi Arabia Aṭ-Ṭa’if 12.88 Yemen Amran 22.68 Saudi Arabia Tabuk 16.15 Yemen Adan 24.51 Saudi Arabia Ar-Rass 20.08 Yemen Al Hudaydah 30.34 Saudi Arabia Rafḥa’ 50.84 Yemen Dhamar 35.42 Sudan Bur Sudan 4.49 Yemen Taizz 40.32 Sudan Sannar 5.54 Yemen Tarim 44.55 Sudan Sinjah 5.60 Yemen Radaa 55.01 Sudan Kassala 6.86 Yemen Yarim 59.04

Sudan Atbara 10.14 Notes Sudan Wad Madani 10.54 Indicator is computed as share of population who live within a walking distance (along a street network) of 500m to a low capacity public transport system (eg bus, tram) and 1000m to high capacity public transport Sudan Khartoum 18.42 systems (trains, ferries, etc) Sudan Al Qadarif 18.79 Only public transport stops which are mapped are included in the analysis and can include both formal and informal stops where available. Many cities have an informal network which is not fully mapped and may thus Tunisia Banzart 16.06 record higher levels of access to public transport than reported here Tunisia Safaqia 17.19 Only public transport modes are considered, which do not include taxis Data on public transport stops is sourced from city maps, OSM, GTFS, UITP, Google, and point mapping in some Tunisia Qabis 30.22 cities. Estimates by DG REGIO are based on data from OSM, TomTom, NSIs, Eurostat, Copernicus Urban Atlas Tunisia Al_Qayrawan 33.74 Data used to estimate population with access to public transport is based on grid level population disaggregation directly from city/country data, HRSL (Facebook and CIESIN), WorldPop or GHS-Pop. Tunisia Monastir 35.25 City/urban area used in the analyis has been generated using a classification approach based on the Urban Tunisia Tozeur 43.52 Extent or the Degree of Urbanization concepts to city definition Tunisia Susah 45.58 Tunisia Tunisg 48.49 Source: United Nations Human Settlement Programme (UN-Habitat), Global Urban Indicators Turkey Adapazari 23.25 Database 2020

Turkey Viransehir 29.98 ** Data from European Commission DG REGIO a Includes Az-zarqa, Ar-Rusayfah, Al-Quwaysimah,Tila al-Ali, Wadi as-sir, Al-Jubayhah, Khraibat as-suq and Turkey Elbistan 33.61 Sahab Turkey Ankara 34.01 b Includes Hawallī, Al-Farwānīyah, Al-Fintās, Al-Jahrā’, Janūb al-Kuwayt, Al-Manqaf, Al-Firdaws and Mubarāk al-Kabīr Turkey Kayseri 41.40 c Includes Mohammedia town d Includes Bawashar, Matrah and Aseed (Assib) Turkey Samsun 41.97 e Includes Jabaiyah, Bayt Lāhīyā f Turkey Konya 44.68 Includes Dayr al Balah g Includes At-Tadamun and Sukrah Turkey Agri 45.04 h Includes Ajman and Ash Shariqa

418 WORLD CITIES REPORT 2020

Table C.3: Open Space Indicators in Selected Cities, 2019

Country Cities Share of urban area Share of urban area Share of urban area Proportion of population allocated to open public allocated to streets (%) allocated to streets & open living within convenient space (%) public space (%) walking distance to open public space (%) Australia Sydney 2.28 11.22 13.50 33.38 Australia Wollogong 3.45 9.71 13.16 46.40 Australia HobartCity 6.92 9.54 16.46 65.09 Australia Laucenston 7.69 8.62 16.31 71.74 Australia Adeliade 6.25 12.56 18.80 72.15 Australia Brisbane 8.02 12.04 20.06 80.55 Australia Muswellbrook 7.70 7.87 15.57 80.78 Australia Shepparton 6.49 9.15 15.64 84.08 Australia Melbourne 8.50 11.87 20.36 84.43 Australia Alice Spring 7.30 9.63 16.93 85.20 Australia Perth 7.60 13.56 21.16 85.62 Australia Bunbury 9.13 9.71 18.84 85.91 Australia Darwin 7.06 10.12 17.18 86.74 Australia Gold Coast 12.21 9.32 21.52 88.21 Australia Geelong 8.86 11.15 20.01 88.86 Australia Cairns 11.37 9.63 21.00 93.18 Australia Canberra 14.48 15.19 29.67 97.52 New Zealand Dunedin 5.23 15.07 20.30 76.83 New Zealand LowerHutt 4.79 16.18 20.98 78.14 New Zealand Wellington 9.08 19.21 28.28 82.46 New Zealand Christ Church 8.71 17.65 26.36 83.37 New Zealand Tauranga 8.04 15.15 23.18 83.93 New Zealand Hamilton 7.69 16.41 24.10 86.43 New Zealand Palmerston 7.65 13.70 21.35 87.07 New Zealand Auckland 9.23 16.19 25.43 88.44 New Zealand Napier 8.56 20.28 28.84 90.28 Afghanistan Kandahar 1.06 11.22 12.28 11.22 Afghanistan Kabul 0.50 12.95 13.45 13.04 Afghanistan Herat 2.66 7.30 9.96 20.99 Afghanistan Mazar-e Sharif 0.78 15.88 16.66 39.08 Afghanistan Charikar 1.38 16.60 17.98 44.58 Afghanistan Lashkar Bah 1.58 9.82 11.40 49.16 Afghanistan Jalalabad 1.71 9.96 11.67 51.29 Afghanistan Khanabad 2.60 11.04 13.63 59.61 Bangladesh Saidpur 33.18 7.17 40.36 18.41 Bangladesh Dhaka 1.26 12.24 13.50 31.38 India Jaipur 4.37 16.78 21.15 18.51 India Coimbatore 0.40 11.16 11.56 18.85 India Singrauli 4.89 8.25 13.15 27.96 India Ahmedabad 1.13 11.67 12.80 29.38 India Pune 2.24 12.07 14.32 30.83 India Mumbai 1.77 11.26 13.04 35.35 India Belgaum 1.52 11.44 12.96 39.68 India Hyderabad 1.51 19.42 20.93 40.18 India Vijayawada 4.22 17.11 21.33 45.74 Iran Sari 0.81 11.76 12.57 31.17 Iran Bojnurd 2.36 15.92 18.28 45.19 Iran Qom 2.28 15.27 17.55 47.50

419 Statistical Annex

Table C.3: Continued

Country Cities Share of urban area Share of urban area Share of urban area Proportion of population allocated to open public allocated to streets (%) allocated to streets & open living within convenient space (%) public space (%) walking distance to open public space (%) Iran Gorgan 1.86 12.34 14.19 49.16 Iran Eshfana 1.83 16.99 18.82 50.78 Iran Kashan 2.89 13.26 16.15 51.42 Iran Salmas 1.83 12.87 14.70 51.88 Iran Ahvaz 3.11 11.96 15.07 52.33 Iran Piranshahr 1.36 11.81 13.18 52.48 Iran Shadegan 0.88 10.61 11.49 53.88 Iran Sanandaj 3.91 13.55 17.46 54.82 Iran Bandar Abbas 2.46 19.96 22.43 59.52 Iran Tehran 4.57 15.50 20.07 61.14 Iran Dehdasht 1.67 15.19 16.86 64.78 Iran Arak 5.56 16.77 22.33 67.66 Iran Kashmar 2.26 13.52 15.77 73.33 Iran Aradabil 4.06 18.24 22.31 79.45 Kazakhstan Shymkent 0.98 12.29 13.26 7.35 Kazakhstan Taraz 1.24 13.60 14.85 10.96 Kazakhstan Semei 1.47 10.69 12.17 19.84 Kazakhstan Astana (Nur-Sultan) 4.42 15.13 19.54 26.21 Kazakhstan Almaty 2.29 13.34 15.62 28.08 Kazakhstan Oskemen 2.25 12.88 15.13 29.50 Kazakhstan Qaragandy 3.79 14.44 18.23 35.40 Kazakhstan Pavlodar 3.45 12.21 15.66 38.94 Kazakhstan Aktobe 2.95 13.68 16.63 44.82 Nepal Pokhara 4.65 9.09 13.74 74.46 Pakistan Sialkot 0.41 10.45 10.86 14.77 Pakistan Sargodha 1.72 8.31 10.02 28.46 Pakistan Islamadad 3.55 9.88 13.43 31.27 Pakistan Faisalabad 1.30 13.02 14.32 34.08 Pakistan Layyah 1.34 8.82 10.16 37.12 Pakistan Hyderabad 1.70 14.24 15.94 43.38 Pakistan Karachi 3.14 15.46 18.60 45.39 Pakistan Lahore 2.89 16.75 19.64 47.29 Sri-Lanka Haputale 1.66 10.72 12.38 33.93 Sri-Lanka Anuradhapura 2.32 9.49 11.81 51.37 Sri-Lanka Batticaloa 1.69 10.84 12.53 55.75 Uzbekistan Tashkent 0.56 12.94 13.51 4.20 Uzbekistan Navoi_Karmana 1.46 8.96 10.42 12.18 Uzbekistan Nukus 1.13 15.97 17.10 13.28 Uzbekistan Qarshi 1.43 12.80 14.23 15.89 Uzbekistan Bukhara 0.94 9.46 10.40 16.47 Uzbekistan Andijan 0.96 11.31 12.27 17.22 Uzbekistan Bekobod 4.99 9.94 14.92 54.02 China Shenzhen, Guangdong 4.74 13.08 17.83 21.94 China Zunyi, Guizhou 8.23 8.21 16.44 25.37 China Jinan, Shandong 3.04 8.31 11.35 26.08 China Beijing, Beijing 3.11 7.21 10.31 26.13 China Qingdao, Shandong 3.64 8.51 12.15 28.49 China Kaiping, Guangdong 0.66 9.91 10.57 34.66

420 WORLD CITIES REPORT 2020

Table C.3: Continued

Country Cities Share of urban area Share of urban area Share of urban area Proportion of population allocated to open public allocated to streets (%) allocated to streets & open living within convenient space (%) public space (%) walking distance to open public space (%) China Taipei, Taiwan 1.63 16.70 18.32 35.07 China Hong Kong, Hong Kong 6.51 24.98 31.49 89.11 Democratic People’s Republic of Ranson 4.02 5.91 9.94 47.97 Korea (North Korea) Japan Yamaguchi 4.64 13.40 18.04 35.88 Japan Okayama 8.28 14.92 23.19 64.02 Japan Fukuoka 6.10 20.65 26.75 70.07 Japan Osaka 4.74 22.96 27.70 72.21 Japan Tokyo 3.49 19.66 23.15 74.82 Malaysia Rawang 1.71 10.64 12.35 22.36 Malaysia Ipoh 3.01 7.85 10.85 43.79 Myanmar Yangon 0.96 11.24 12.20 16.24 Myanmar Mawlamyine 1.18 10.50 11.68 37.17 Philippines Cebu City 0.69 14.37 15.06 17.71 Philippines Manila 1.56 20.68 22.24 28.75 Republic of Korea (South Korea) Cheonan 2.28 10.61 12.89 31.16 Republic of Korea (South Korea) Jinju 3.35 7.65 11.00 38.39 Republic of Korea (South Korea) Busan 5.50 14.79 20.28 48.66 Republic of Korea (South Korea) Seoul 3.03 12.70 15.73 48.75 Republic of Korea (South Korea) Gwangju 7.05 15.62 22.68 65.37 Singapore Singapore 7.46 19.42 26.87 70.26 Thailand Bangkok 0.73 14.20 14.94 11.77 Thailand Chumpon 0.53 9.46 9.99 16.45 Thailand Khon Kaen 1.90 14.47 16.36 22.22 Thailand ChiangRai 1.27 11.37 12.64 22.30 Thailand Phattalung 2.14 12.81 14.95 29.98 Thailand ChiangMai 1.44 13.38 14.82 37.05 Thailand Chaam 4.25 8.43 12.68 48.03 Vietnam Ho Chi Minh City 0.76 13.86 14.62 30.40 Cuba Las Tunas 1.96 16.68 18.64 38.43 Argentina Buenos Aires 1.83 21.61 23.45 49.55 Argentina Cordoba 3.62 20.52 24.14 70.69 Bolivia Cochabamba 1.80 15.99 17.78 63.62 Brazil Belo Horizonte 5.30 16.55 21.85 41.55 Brazil Sao Paulo 1.68 17.12 18.80 53.76 Brazil Ilheus 2.41 14.14 16.55 54.72 Brazil Jequie 0.75 15.67 16.42 60.31 Brazil Ribeirao Preto 1.84 17.87 19.71 62.29 Brazil Florianopolis 4.87 15.36 20.24 76.18 Brazil Curitiba 5.46 14.66 20.12 83.75 Brazil Palmas 8.96 18.39 27.35 93.45 Chile Santiago 2.22 15.10 17.32 43.47 Colombia Valledupar 2.21 21.10 23.31 35.44 Colombia Bogota 6.31 23.01 29.32 87.50 Costa Rica Cartago 1.77 15.16 16.93 50.60 Costa Rica Puerto Limon 3.75 16.50 20.25 55.71 Costa Rica San Hose 1.91 14.90 16.81 59.13 Costa Rica Liberia 2.37 17.90 20.27 70.86

421 Statistical Annex

Table C.3: Continued

Country Cities Share of urban area Share of urban area Share of urban area Proportion of population allocated to open public allocated to streets (%) allocated to streets & open living within convenient space (%) public space (%) walking distance to open public space (%) Costa Rica Puntar Arenas_Barranca 4.26 16.51 20.77 76.28 Cuba Cienfuego 3.45 11.63 15.08 40.07 Cuba Holguin 1.88 13.62 15.50 43.45 Cuba Guantanamo 2.37 14.35 16.72 48.21 Cuba Santiago De Cuba 2.41 14.91 17.32 53.72 Cuba Camaguey 2.65 14.55 17.20 55.37 Cuba Santa Clara 1.74 15.20 16.94 58.38 Cuba Bayamo 4.45 17.50 21.96 64.77 Cuba LacHabana 4.42 17.15 21.57 68.84 Ecuador Quito 2.25 12.07 14.32 45.08 El Salvador San Salvador 1.92 9.97 11.88 16.75 Guatemala Guatemala City 1.71 11.69 13.39 31.95 Mexico Reynosa 1.28 10.44 11.71 27.84 Mexico Tijuana 0.87 12.31 13.18 29.47 Mexico Mexico City 3.71 12.70 16.40 46.26 Mexico Guadalajara 2.32 13.28 15.60 50.50 Mexico Culiacan 3.56 13.83 17.38 72.51 Nicaragua Leon 2.49 11.39 13.88 52.24 Uruguay LasPiedras 0.68 13.62 14.30 49.83 Uruguay Riviera 0.38 14.10 14.48 58.92 Uruguay Salto 1.23 15.68 16.91 67.97 Uruguay Melo 0.93 15.51 16.45 69.19 Uruguay Tacuarembo 0.97 12.74 13.71 69.79 Uruguay Paysandu 2.23 13.81 16.04 70.39 Uruguay Mercedes 0.95 15.63 16.59 71.22 Uruguay Maldonaldo 1.48 17.14 18.62 81.20 Uruguay Montevideo+CiudadDeLaCosta 3.82 14.46 18.28 82.66 Venezuela Cabimas 0.41 11.79 12.21 19.43 Venezuela Caracas 4.97 13.54 18.51 38.10 Austria Vienna 3.19 11.66 14.85 72.42 Belarus Gomel 3.54 12.03 15.58 39.89 Belarus Kobyrn 4.39 10.94 15.32 43.96 Belarus Babrujsk 5.23 12.91 18.14 48.66 Belarus Viciebsk 2.73 16.03 18.76 51.27 Belarus Brest 7.99 13.70 21.70 53.03 Belarus Salihorsk 4.57 14.61 19.18 55.38 Belarus Polack 5.67 13.62 19.29 66.09 Belarus Mazyr 8.66 13.04 21.70 72.11 Belarus Hrodna 7.49 19.38 26.87 80.88 Belarus Minsk 11.46 19.00 30.46 83.28 Belgium Antwerp 3.04 11.96 15.00 39.76 Canada Victoria 3.51 10.68 14.19 72.65 Canada Montreal 8.64 13.84 22.49 89.17 France Nice 0.24 11.39 11.63 8.04 France Nimes 3.49 12.68 16.17 34.36 France Metz 3.12 15.64 18.77 39.04 France Marseille 5.62 14.00 19.62 46.50 France Toulousse 2.48 15.84 18.32 47.21

422 WORLD CITIES REPORT 2020

Table C.3: Continued

Country Cities Share of urban area Share of urban area Share of urban area Proportion of population allocated to open public allocated to streets (%) allocated to streets & open living within convenient space (%) public space (%) walking distance to open public space (%) France Paris 3.65 12.46 16.10 51.58 France Lyon 4.59 14.26 18.85 66.51 France Lille 3.96 18.06 22.02 67.01 France Nantes 5.93 15.32 21.25 67.57 France Strasbourg 4.92 17.70 22.62 73.24 France Grenoble 4.48 14.85 19.33 75.52 France Le Mans 6.47 17.66 24.13 81.20 France Besancon 6.45 20.55 27.00 91.07 Germany Berlin 8.06 22.20 30.26 68.19 Germany Halle 8.03 22.42 30.45 76.43 Germany Oldenburg 7.63 26.19 33.82 90.56 Greece Thessaloniki 1.62 14.47 16.09 65.70 Hungary Budapest 2.96 17.59 20.55 58.84 Italy Palermo 1.66 8.58 10.24 42.24 Italy Milan 4.02 9.00 13.01 76.22 Lithuania Kaunas 6.37 15.41 21.78 61.43 Netherlands Zwolle 7.43 15.01 22.43 91.93 Poland Lublin 2.89 19.12 22.00 49.11 Poland Lodz 4.23 17.07 21.30 49.39 Poland Katowice 3.46 15.34 18.81 50.70 Poland Mielec 2.46 10.42 12.89 52.34 Poland Wroclaw 4.88 17.42 22.30 55.98 Poland Poznan 7.63 14.97 22.60 61.59 Poland Warsaw 5.95 14.58 20.54 64.84 Poland Lomza 3.04 18.43 21.46 67.12 Romania ARad 2.54 8.65 11.19 41.44 Romania Reghin 4.60 6.14 10.74 48.76 Romania Bucharest 3.46 9.54 13.00 54.10 Romania Mangalia 2.84 7.34 10.17 54.51 Romania Craiova 4.73 8.07 12.80 60.63 Russia Astrakhan 1.23 9.64 10.87 37.10 Russia Saint Petersburg 3.24 21.76 25.00 40.94 Russia Dzerzhinsk 4.41 11.96 16.37 60.83 Russia Tyumen 5.05 18.25 23.31 64.24 Russia Berezniki 9.42 13.75 23.17 73.73 Russia Moscow 8.34 16.22 24.56 83.31 Serbia Borca 5.94 8.12 14.06 36.82 Serbia Pozarevac 3.79 8.86 12.65 37.56 Serbia Kragujevac 5.69 8.46 14.15 44.96 Serbia Novi Sad 4.43 10.75 15.18 52.92 Serbia Nis 3.70 10.23 13.93 57.20 Serbia Belgrade 23.41 12.48 35.89 63.83 Serbia Novi Pazar 3.04 9.43 12.48 73.16 Spain Madrid 6.70 17.25 23.94 63.13 Switzerland Zurich 3.64 18.32 21.96 67.59 Switzerland Neuchatel 2.97 17.33 20.29 70.09 Switzerland Lausanne 5.05 18.55 23.60 76.89 Switzerland Bern 6.17 19.61 25.78 77.11

423 Statistical Annex

Table C.3: Continued

Country Cities Share of urban area Share of urban area Share of urban area Proportion of population allocated to open public allocated to streets (%) allocated to streets & open living within convenient space (%) public space (%) walking distance to open public space (%) Switzerland Fribourg 7.72 15.66 23.38 80.30 Switzerland Basel 4.47 16.90 21.36 81.79 Switzerland Winterhur 4.66 20.05 24.71 81.93 Switzerland St Gallen 6.60 16.27 22.88 82.95 Switzerland Wetzikon 3.05 16.36 19.41 85.43 Switzerland Emmen_Lucerne 8.00 15.83 23.83 87.83 Ukraine Nikolaev 3.69 6.77 10.46 49.39 United Kingdom Sheffield 5.30 11.82 17.11 58.18 United Kingdom London 12.94 11.95 24.88 81.29 United Kingdom Manchester 8.98 13.21 22.19 81.56 United States Raleigh 2.41 9.63 12.04 25.45 United States Houston 3.36 11.81 15.17 27.00 United States Toledo 2.22 9.29 11.51 27.54 United States Cleveland 4.21 9.56 13.77 29.81 United States Springfield, MA 2.88 7.41 10.29 36.84 United States Philadelphia 2.93 9.98 12.90 37.30 United States Modesto 2.16 9.76 11.92 41.36 United States Gainesville, FL 5.34 13.04 18.38 43.11 United States Chicago 6.10 9.83 15.93 47.85 United States Minneapolis 6.14 11.84 17.98 54.77 United States Portland, OR 4.35 13.42 17.78 57.45 United States New York 9.10 9.76 18.86 71.03 Fiji Suva 3.66 7.38 11.04 28.31 Angola Luanda 0.62 18.35 18.97 17.31 Benin Parakou 0.78 13.15 13.93 32.37 Benin Kandy 0.43 13.10 13.53 35.15 Benin Djougou 1.49 11.97 13.46 40.69 Benin Natitingou 1.50 8.91 10.42 53.78 Congo Dem. Rep. Lubumbashi 0.38 14.22 14.60 6.78 Congo Dem. Rep. Kinshasa 1.42 16.61 18.03 17.31 Ethiopia Dire Dawa 0.88 17.37 18.25 38.69 Ethiopia Harar 1.17 11.25 12.42 40.00 Ethiopia Gondar 1.40 12.82 14.22 40.32 Ethiopia Addis Ababa 2.53 21.77 24.30 41.77 Ethiopia Awassa 2.84 14.81 17.66 62.38 Ethiopia Adama Nazreth 1.42 18.58 20.00 64.08 Ethiopia BahirDar 1.41 14.36 15.78 89.99 Ghana Accra 0.41 13.63 14.05 12.01 Kenya Eldoret 0.51 11.17 11.68 10.82 Kenya Kisumu 0.35 10.00 10.36 11.15 Kenya Nairobi 1.02 11.13 12.14 17.93 Madagascar Antsiranana 1.12 14.93 16.05 30.21 Madagascar Toamasina 1.94 8.50 10.43 31.91 Madagascar Marovoay 3.83 7.65 11.48 46.11 Madagascar Taolanaro 3.04 7.92 10.96 68.59 Malawi Blantyre 2.07 9.08 11.15 22.63 Malawi Mzuzu 0.99 11.79 12.78 23.25 Malawi Zomba 3.16 8.99 12.15 43.75

424 WORLD CITIES REPORT 2020

Table C.3: Continued

Country Cities Share of urban area Share of urban area Share of urban area Proportion of population allocated to open public allocated to streets (%) allocated to streets & open living within convenient space (%) public space (%) walking distance to open public space (%) Mali Bamako 1.36 19.59 20.95 29.94 Mozambique Nampula 0.21 9.90 10.11 9.31 Mozambique Manhica 0.26 12.94 13.19 10.12 Mozambique Maputo 0.83 14.97 15.80 15.35 Mozambique Maxixe 0.42 10.64 11.06 25.50 Mozambique Pemba 2.08 13.98 16.06 49.89 Niger Zinder 0.84 19.21 20.05 13.78 Niger Niamey 0.63 19.43 20.06 26.09 Niger Maradi 2.89 19.11 22.00 32.04 Niger Dosso 1.17 15.12 16.29 32.96 Niger Agadez 1.21 16.99 18.20 45.76 Nigeria Lagos 0.50 13.76 14.26 6.95 Nigeria Ibadan 0.38 13.46 13.85 8.89 Nigeria Oyo 0.77 12.99 13.76 13.48 Nigeria Gombe 0.57 16.40 16.97 20.65 Rwanda Cyangugu 0.05 10.02 10.07 4.81 Rwanda Butare 0.24 12.05 12.30 6.40 Rwanda Ruhengeri 0.13 10.06 10.19 9.47 Rwanda Gisenyi 1.09 15.82 16.91 12.22 Rwanda Kigali 0.74 11.19 11.93 18.11 Rwanda Kayonza 0.45 11.13 11.58 21.59 Rwanda Gitarama 1.00 10.16 11.16 21.76 Senegal Touba 0.31 21.88 22.19 14.85 Senegal Diorbel 0.93 21.08 22.01 32.04 Senegal Kaolack 1.33 21.29 22.62 44.06 Senegal Ziguinchor 1.22 16.58 17.80 44.37 Senegal Louga 3.05 18.54 21.59 45.85 Senegal Dakar 1.76 25.39 27.15 48.19 Senegal Thies 1.12 20.03 21.15 55.66 Senegal MBour 1.86 22.09 23.95 66.93 Senegal SaintLouis 1.46 23.67 25.12 85.57 South Africa Johannesburg 1.85 10.84 12.70 15.40 South Africa Port Elizabeth 3.41 9.27 12.68 29.05 Uganda Masaka 1.01 9.01 10.02 17.84 Uganda Kasese 0.76 14.64 15.40 20.83 Uganda Lira 1.50 11.55 13.05 33.76 Uganda Gulu 4.65 11.12 15.76 76.02 Zambia Ndola 0.26 11.14 11.40 7.95 Algeria Tolga 0.31 11.84 12.15 13.37 Algeria Tiaret 1.49 18.09 19.57 32.05 Algeria Tebessa 3.74 10.61 14.35 34.86 Algeria Algiers 2.49 12.39 14.89 41.23 Algeria Batna 1.92 17.61 19.53 42.04 Algeria Annaba 3.09 11.71 14.80 49.59 Algeria Blida 2.00 12.66 14.66 54.01 Algeria Oran 2.42 16.61 19.02 56.54 Algeria Chlef 3.66 10.85 14.52 62.75 Algeria M’Sila 2.82 14.21 17.03 65.33

425 Statistical Annex

Table C.3: Continued

Country Cities Share of urban area Share of urban area Share of urban area Proportion of population allocated to open public allocated to streets (%) allocated to streets & open living within convenient space (%) public space (%) walking distance to open public space (%) Algeria El Khroub 3.07 11.91 14.98 67.46 Algeria Tamanrasset 4.02 12.78 16.80 67.62 Algeria Djelfa 3.40 21.26 24.66 70.55 Algeria Khemis Miliana 1.84 16.24 18.07 74.51 Algeria Mila 3.99 16.13 20.12 81.60 Azerbaijan Baku 4.02 19.30 23.32 57.02 Bahrain AlManamah 1.45 22.08 23.53 45.19 Egypt Cairo 0.79 10.15 10.94 11.23 Egypt Asyut 0.98 16.53 17.51 34.93 Egypt Al_zaqaziq 0.59 17.62 18.21 38.99 Egypt Al_Qhurdaqah 2.06 18.96 21.01 72.27 Egypt Port Said 1.96 14.06 16.02 95.08 Iraq Baghdad 1.32 13.37 14.69 20.33 Israel Tel Aviv 4.30 12.61 16.91 75.85 Jordan Ammani 1.31 17.96 19.27 33.88 Jordan Irbid 0.63 21.97 22.60 55.04 Kuwait Kuwaitii 1.53 22.52 24.05 49.42 Lebanon Beirut 0.78 14.72 15.49 20.75 Lebanon Zahle 0.68 12.06 12.75 36.62 Lebanon Baalbek 1.02 12.79 13.81 45.14 Lebanon Tyre 1.53 9.87 11.40 45.87 Lebanon Sidon 0.88 12.76 13.64 61.16 Lebanon Tripoli 1.36 11.54 12.90 72.81 Morocco Aitemelloul 0.21 12.54 12.75 21.25 Morocco Temara 2.56 13.84 16.39 25.65 Morocco Casablancaiii 1.23 17.88 19.11 29.18 Morocco Maknes 1.95 18.99 20.94 29.35 Morocco Fez 1.37 17.91 19.28 32.55 Morocco Oulad teima 1.44 9.42 10.87 34.77 Morocco Sidi slimane 0.50 10.46 10.96 37.40 Morocco Oujda 1.26 23.75 25.01 45.51 Morocco Tanger 2.00 16.59 18.58 46.88 Morocco Midelt 1.25 14.04 15.29 54.38 Morocco Safi 4.71 17.56 22.27 55.23 Morocco Fikh Ben Salah 1.63 16.93 18.56 55.85 Morocco Marrakesh 1.64 13.24 14.88 61.32 Morocco Sefrou 3.38 15.28 18.66 63.58 Morocco Azrou 6.94 16.42 23.36 69.87 Oman Al Buryami 0.43 11.75 12.18 13.20 Oman Muscativ 0.75 18.24 18.98 13.24 Oman Sohar 1.01 13.92 14.93 18.19 Oman Salalah 0.87 16.76 17.63 20.31 Palestinian territories Jenin 1.11 13.41 14.52 4.91 Palestinian territories Al-Khalīl 0.16 10.75 10.91 13.22 Palestinian territories Nabulus(Nablus) 0.95 11.45 12.39 21.60 i Includes: Az-zarqa, Ar-Rusayfah, Al-Quwaysimah,Tila al-Ali, Wadi as-sir, Al-Jubayhah, Khraibat as-suq and Sahab ii Includes all the major cities Hawallī, Al-Farwānīyah, Al-Fintās, Al-Jahrā’, Janūb al-Kuwayt, Al-Manqaf, Al-Firdaws and Mubarāk al-Kabīr iii Includes Mohammedia town iv Includes :Bawashar, Matrah, Aseed(Assib)

426 WORLD CITIES REPORT 2020

Table C.3: Continued

Country Cities Share of urban area Share of urban area Share of urban area Proportion of population allocated to open public allocated to streets (%) allocated to streets & open living within convenient space (%) public space (%) walking distance to open public space (%) Palestinian territories Ghazzahv 0.25 13.16 13.41 21.85 Palestinian territories An-Nuṣayrāt 0.58 12.80 13.38 23.64 Palestinian territories Rafaḥ 0.36 13.75 14.10 30.53 Palestinian territories Khān Yūnisvi 0.22 13.01 13.23 33.35 Palestinian territories Al-Quds 4.97 12.29 17.26 39.96 Qatar Doha 1.60 21.24 22.85 14.41 Qatar Mesaieed 0.31 11.39 11.70 26.64 Qatar AlKhor_AlThakhira 2.39 20.93 23.32 41.49 Saudi Arabia Al-Kharj 0.47 15.86 16.33 9.88 Saudi Arabia Riyadh 2.38 13.91 16.29 10.35 Saudi Arabia Tabuk 0.68 17.06 17.73 13.40 Saudi Arabia Al-Khafji 0.90 11.36 12.27 14.26 Saudi Arabia Al-Madinah 1.46 15.18 16.64 17.62 Saudi Arabia ‘Ar’ar 2.25 12.30 14.55 20.74 Saudi Arabia Ha’il 3.15 14.62 17.76 22.16 Saudi Arabia Makkah 0.83 16.81 17.64 22.40 Saudi Arabia At-Ta’if 1.30 10.49 11.78 23.56 Saudi Arabia Jiddah including Al Khubar 0.80 14.43 15.24 24.11 Saudi Arabia Al-Jubayl 2.43 10.11 12.54 24.11 Saudi Arabia Al-Hufuf 4.68 9.19 13.87 30.05 Saudi Arabia Ad-Dammam 1.79 13.80 15.60 34.59 Saudi Arabia Ar-Rass 3.20 15.89 19.09 47.59 Saudi Arabia Rafha’ 2.76 16.30 19.06 53.79 Sudan Khartoum 0.86 23.23 24.09 14.81 Sudan Kassala 0.79 22.65 23.45 30.74 Sudan Atbara 0.42 20.90 21.33 32.07 Sudan Sannar 0.96 20.33 21.29 32.78 Sudan Alfashir 0.83 23.17 24.01 40.37 Sudan Bur Sudan 1.29 21.65 22.94 44.17 Sudan Wad Madani 1.71 21.33 23.03 47.90 Sudan Sinjah 1.51 15.05 16.56 61.19 Sudan Al Qadarif 2.41 21.14 23.55 67.15 Tunisia Safaqia 0.33 15.31 15.64 27.46 Tunisia Banzart 1.53 15.60 17.13 40.95 Tunisia Tunisvii 2.92 22.20 25.11 45.30 Tunisia Susah 1.26 19.42 20.68 53.85 Tunisia Qabis 3.07 22.42 25.49 63.06 Tunisia Al_Qayrawan 1.89 24.08 25.97 66.68 Tunisia Monastir 2.50 21.57 24.07 71.79 Tunisia Tozeur 14.97 21.92 36.89 90.96 Turkey Adapazari 1.82 20.03 21.85 41.80 Turkey Malatya 1.00 15.20 16.20 58.76 Turkey Istanbul 3.07 23.81 26.87 59.78 Turkey Elbistan 1.35 9.20 10.55 60.56 Turkey Konya 3.00 19.22 22.21 65.32 v Includes: Jabaiyah and Bayt Lāhīyā vi Includes Dayr al Balah vii Includes At-Tadamun and Sukrah

427 Statistical Annex

Table C.3: Continued

Notes: Indicator is computed as share of urban land in streets and open pulbic space, as well as share of population who can access/live within a walking distance (along a street network) of 400 m to an open public space. An open public space is defined as openly and freely accessible space for all (without any cost implication). Identification of open public spaces are based on data compiled from city land use plans as well as data available from open sources such as OSM and google. Data used to estimate population with access to open public spaces is based on grid level population disaggregation directly from city/country data, HRSL (facebook and CIESIN) or WorldPop. Analysis year is 2019, which in some cases includes population data for 2018. City/urban area used in the analyis has been generated using a classification approach based on the Urban Extent or the Degree of Urbanization concepts to city definition. The urban/city area used for the indicator computation may be larger or smaller than the official municipality boundaries.

Source: United Nations Human Settlement Programme (UN-Habitat), Global Urban Indicators Database 2020

428 WORLD CITIES REPORT 2020

Table C.4: Mean Population Exposure to PM2.5 (Micrograms/m3) - Air Pollution

Country Metropolitan areas 2015 2016 2017 Country Metropolitan areas 2015 2016 2017 Australia Greater Sydney 7.7 7.1 7.1 Chile Concepcion 20.3 18.9 18.9 Australia Greater Melbourne 15.6 14.3 14.3 Chile Temuco 33.5 31.1 30.9 Australia Greater Brisbane 5.8 5.4 5.4 Chile Valdivia 32.6 30.5 30.2 Australia Greater Perth 8.2 7.6 7.6 Chile Puerto Montt 30 28.1 27.8 Australia Greater Adelaide 6.6 6.2 6.2 Colombia Bogota D.C. 22.9 21.7 21.6 Australia Gold Coast 5.6 5.2 5.2 Colombia Medellin 25.4 23.9 23.9 Australia Canberra 16.1 14.8 14.7 Colombia Cali 12.6 11.9 11.8 Australia Newcastle 7.3 6.8 6.7 Colombia Barranquilla 22 20.6 20.6 Australia Wollongong 7.2 6.7 6.7 Colombia Cartagena 18 16.9 16.8 Australia Sunshine Coast 5.1 4.9 4.9 Colombia Bucaramanga 24.3 23.3 23.3 Australia Geelong 13.4 12.5 12.5 Colombia Cucuta 25.1 23.1 23.2 Austria Vienna 14.9 13.8 13.8 Colombia Pereira 17.3 16.4 16.3 Austria Graz 17.8 16.7 16.8 Colombia Ibague 16.1 15.5 15.3 Austria Linz 13.7 12.9 12.9 Colombia Manizales 17.6 16.7 16.6 Austria Salzburg 12.4 11.6 11.7 Colombia Santa Marta 16.3 15.3 15.2 Austria Innsbruck 12.1 11.2 11.2 Colombia Pasto 13.9 13.2 12.9 Austria Klagenfurt 13.5 12.5 12.5 Colombia Armenia 15.9 15.2 15 Belgium Brussels 14.9 14.2 14.3 Colombia Villavicencio 20.3 19.5 19.2 Belgium Antwerp 14.9 14.1 14.2 Colombia Monteria 17.2 16.4 16.3 Belgium Gent 14.9 14.1 14.1 Colombia Valledupar 19.3 18.1 18.1 Belgium Charleroi 12.6 12 12 Colombia Buenaventura 9.8 9.1 9.1 Belgium Liege 12.4 11.6 11.7 Colombia Neiva 15.1 14.4 14.2 Canada Toronto 7.9 7.1 7 Colombia Palmira 11 10.4 10.3 Canada Montreal 8.4 7.7 7.6 Colombia Popayan 11.8 11.2 10.9 Canada Vancouver 6.4 5.8 5.8 Colombia Sincelejo 18.9 18.1 18.1 Canada Ottawa 6.5 5.9 5.9 Colombia Riohacha 14.3 13.2 13.3 Canada Calgary 7.6 6.8 6.8 Czech Republic Prague 15.6 14.4 14.4 Canada Edmonton 6.9 6.3 6.2 Czech Republic Brno 17.9 16.4 16.4 Canada Quebec 8 7.3 7.2 Czech Republic Ostrava 29.6 27.1 27 Canada Winnipeg 5.8 5.1 5.2 Czech Republic Plzen 16.3 15 15 Canada Hamilton 8.8 7.8 7.8 Germany Berlin 15.9 14.9 14.9 Canada London 8.2 7.3 7.3 Germany Hamburg 12.2 11.6 11.6 Canada Kitchener 8.1 7.1 7.1 Germany Munich 13.3 12.2 12.2 Canada Halifax 5.2 4.7 4.7 Germany Cologne 14.4 13.4 13.4 Canada Victoria 6 5.4 5.4 Germany Frankfurt am Main 12.9 12.1 12.1 Canada Windsor 8.9 8 8 Germany Stuttgart 13.4 12.4 12.4 Canada Saskatoon 10 8.9 9 Germany Leipzig 14.6 13.5 13.5 Canada Sherbrooke 6.5 5.9 5.9 Germany Dresden 14.5 13.5 13.5 Switzerland Zurich 11.8 10.8 10.8 Germany Dusseldorf 14.7 13.8 13.8 Switzerland Geneva 13.4 12.5 12.5 Germany Bremen 12.2 11.5 11.4 Switzerland Basel 12.3 11.3 11.3 Germany Hanover 12.6 11.7 11.6 Switzerland Bern 11.4 10.5 10.5 Germany Nuremberg 13.4 12.3 12.3 Switzerland Lausanne 12.3 11.6 11.6 Germany Bielefeld 13.5 12.5 12.5 Chile Antofagasta 11.5 10.4 10.4 Germany Halle an der Saale 14.5 13.5 13.5 Chile Coquimbo-La Serena 14.8 13.8 13.8 Germany Magdeburg 14.1 13.2 13.1 Chile Valparaiso 17.7 16.6 16.5 Germany Wiesbaden 11.8 11.1 11.1 Chile Santiago 26.4 24.8 24.7 Germany Gottingen 11.1 10.2 10.2 Chile Rancagua 29.8 28 27.9 Germany Darmstadt 12.9 12.1 12.1 Chile Talca 26.5 24.7 24.8 Germany Trier 10.9 10.3 10.3

429 Statistical Annex

Table C.4: Continued

Country Metropolitan areas 2015 2016 2017 Country Metropolitan areas 2015 2016 2017 Germany Freiburg im Breisgau 11.2 10.3 10.4 Denmark Copenhagen 11.1 10.5 10.5 Germany Regensburg 14.1 12.9 12.9 Denmark Aarhus 11 10.5 10.5 Germany Schwerin 11.9 11.2 11.2 Denmark Odense 11.6 11 11 Germany Erfurt 12 11.2 11.2 Denmark Aalborg 10.2 9.9 9.8 Germany Augsburg 13.3 12.2 12.2 Spain Madrid 10.2 9.6 9.6 Germany Bonn 12.4 11.5 11.5 Spain Barcelona 13.4 12.3 12.3 Germany Karlsruhe 12.7 12 12 Spain Valencia 11 10.2 10.2 Germany Monchengladbach 14.4 13.5 13.6 Spain Seville 13.2 12.2 12.3 Germany Mainz 11.8 11 11.1 Spain Saragossa 11.4 10.5 10.5 Germany Ruhr 15.9 14.9 14.9 Spain Malaga 12.6 11.6 11.7 Germany Kiel 12.2 11.6 11.6 Spain Murcia 13.2 12.5 12.5 Germany Saarbrucken 10.9 10.1 10.2 Spain Las Palmas 7.8 7.1 7.2 Germany Koblenz 11.3 10.5 10.5 Spain Valladolid 10.2 9.7 9.7 Germany Rostock 13 12.1 12.1 Spain Palma de Mallorca 8.7 8 8 Germany Kaiserslautern 10.6 9.9 10 Spain Vitoria 8.4 7.9 7.9 Germany Iserlohn 13.8 12.9 12.9 Spain Oviedo 11.1 10.2 10.2 Germany Flensburg 11.8 11.2 11.2 Spain Pamplona 8.9 8.3 8.3 Germany Constance 11.5 10.6 10.6 Spain Santander 10.7 9.9 9.9 Germany Giessen 13.2 12.3 12.3 Spain Bilbao 9.7 9 9 Germany Aschaffenburg 11.8 11.1 11.1 Spain Cordoba 12.9 12 12 Germany Neubrandenburg 12.7 11.8 11.8 Spain Alicante 11 10.3 10.3 Germany Rosenheim 12.4 11.5 11.5 Spain Vigo 8.9 8.2 8.2 Germany Offenburg 11.7 10.9 10.9 Spain Gijon 11.5 10.6 10.6 Germany Gorlitz 14.6 13.6 13.6 Spain Santa Cruz de Tenerife 7.5 6.8 6.9 Germany Schweinfurt 11.2 10.5 10.5 Spain Coruna (A) 11.2 10.2 10.2 Germany Wetzlar 12.8 11.8 11.8 Spain Granada 15.1 13.9 14 Germany Braunschweig-Salzgitter Wolfsburg 12.3 11.4 11.4 Spain Elche/Elx 12.6 11.8 11.8 Germany Mannheim-Ludwigshafen 13.1 12.3 12.4 Spain Donostia-San Sebastian 8.2 7.7 7.7 Germany Muenster 14.1 13.1 13.1 Spain Algeciras 13 11.9 12 Germany Aachen 10.8 10.1 10.2 Spain Marbella 11 10.1 10.2 Germany Lubeck 12.1 11.3 11.3 Estonia Tallinn 7 6.8 6.8 Germany Kassel 12.7 11.7 11.6 Finland Helsinki 6.8 6.8 6.7 Germany Osnabruck 12.7 11.8 11.8 Finland Tampere 6.7 6.6 6.6 Germany Oldenburg (Oldenburg) 12.5 11.7 11.7 Finland Turku 5.9 5.7 5.7 Germany Heidelberg 12.9 12.1 12.2 Finland Oulu 5.4 5.3 5.3 Germany Paderborn 13.1 12.1 12 France Paris 14.8 13.9 13.9 Germany Wurzburg 12.6 11.8 11.8 France Lyon 14.9 13.7 13.8 Germany Bremerhaven 11.9 11.2 11.2 France Toulouse 12.3 11.2 11.2 Germany Heilbronn 13.7 12.9 12.9 France Strasbourg 14.8 13.9 13.9 Germany Ulm 13.3 12.2 12.3 France Bordeaux 13 11.9 11.9 Germany Pforzheim 12.5 11.7 11.8 France Nantes 11.5 11 10.9 Germany Ingolstadt 12.9 11.8 11.8 France Lille 15.7 14.8 14.8 Germany Reutlingen 12.4 11.4 11.5 France Montpellier 13.3 12 12.1 Germany Siegen 10.5 9.8 9.8 France Saint-Etienne 12.4 11.4 11.4 Germany Hildesheim 12.1 11.2 11.2 France Le Havre 12.4 11.9 11.8 Germany Zwickau 13.3 12.2 12.2 France Rennes 9.9 9.4 9.4 Germany Wuppertal 15.2 14.3 14.3 France Amiens 13.2 12.6 12.5 Germany Duren, Stadt 11.8 11 11 France Nancy 12.4 11.5 11.5 Germany Bocholt, Stadt 13.6 12.7 12.7 France Metz 12.8 11.9 11.9

430 WORLD CITIES REPORT 2020

Table C.4: Continued

Country Metropolitan areas 2015 2016 2017 Country Metropolitan areas 2015 2016 2017 France Reims 14.3 13.5 13.4 United Kingdom Stoke-on-Trent 11.8 11.7 11.7 France Orleans 12.8 12 11.9 United Kingdom Nottingham 11.7 11.5 11.5 France Dijon 12.3 11.3 11.3 United Kingdom Wirral 9.3 9 9 France Poitiers 12.8 12.1 12.1 United Kingdom Guildford 10.7 10.6 10.5 France Clermont-Ferrand 10.8 9.9 9.9 United Kingdom Doncaster 11.8 11.5 11.4 France Caen 11.4 10.9 10.8 United Kingdom Sunderland 9.3 8.9 8.9 France Limoges 10.8 10 10 United Kingdom Medway 12.7 12.5 12.4 France Besancon 11.8 10.9 10.9 United Kingdom Brighton and Hove 10.6 10.4 10.3 France Grenoble 15 13.9 13.9 United Kingdom Plymouth 9.9 9.5 9.5 France Toulon 14.1 12.9 12.9 United Kingdom Swansea 10.4 10.1 10.1 France Valenciennes 15.3 14.6 14.6 United Kingdom Derby 11.6 11.4 11.4 France Tours 12.3 11.6 11.5 United Kingdom Southampton 11.1 10.9 10.9 France Angers 11.8 11.3 11.2 United Kingdom Milton Keynes 10.8 10.7 10.6 France Brest 10.6 10 10 United Kingdom Northampton 9.5 9.3 9.3 France Le Mans 12.6 11.9 11.9 United Kingdom Bournemouth 9.4 9.2 9.2 France Avignon 14.7 13.4 13.4 United Kingdom Colchester 11.9 11.6 11.5 France Mulhouse 12.8 11.8 11.9 United Kingdom Dundee City 6.9 6.5 6.5 France Dunkerque 13.3 12.6 12.5 United Kingdom Reading 10.1 10 10 France Perpignan 11.6 10.6 10.6 United Kingdom Blackpool 9 8.7 8.7 France Nimes 13.3 12 12.1 United Kingdom Blackburn with Darwen 9.8 9.5 9.4 France Pau 11.7 10.5 10.6 United Kingdom Middlesbrough 9.7 9.3 9.3 France Bayonne 10.5 9.6 9.7 United Kingdom Oxford 10.3 10.1 10.1 France Annecy 13.8 12.8 12.8 United Kingdom Preston 10.3 10 10 France Aix-en-Provence ...... United Kingdom Norwich 11.8 11.3 11.3 France Marseille 16.4 14.9 14.9 United Kingdom Cheshire West and Chester 9.7 9.4 9.4 France Nice 14.2 13 13.1 United Kingdom Ipswich 12 11.6 11.6 France Lens - Lievin 13.7 13 13 Greece Athens 18.8 17.4 17.5 France Valence 14.3 13.1 13.1 Greece Thessaloniki 16 14.8 15 France Rouen 13.1 12.5 12.4 Hungary Budapest 19.2 17.7 17.8 France Les Abymes ...... Hungary Miskolc 19.5 18.3 18.3 United Kingdom London 12.8 12.6 12.5 Hungary Debrecen 16.9 15.8 15.7 United Kingdom West Midlands urban area 11.3 11.2 11.2 Hungary Gyor 15.6 14.3 14.4 United Kingdom Leeds 11.2 10.9 10.8 Hungary Szekesfehervar 15.6 14.3 14.4 United Kingdom Glasgow 8.9 8.4 8.4 Ireland Dublin 9.2 8.7 8.7 United Kingdom Liverpool 10.5 10.2 10.2 Ireland Cork 8.7 8.3 8.3 United Kingdom Edinburgh 7.3 6.9 6.9 Italy Rome 16.9 15.6 15.7 United Kingdom Manchester 11.2 10.9 10.9 Italy Milan 26.6 24.4 24.8 United Kingdom Cardiff 10.4 10.2 10.2 Italy Naples 17.2 15.9 16 United Kingdom Sheffield 11.8 11.7 11.6 Italy Turin 25 22.3 22.5 United Kingdom Bristol 10.9 10.7 10.7 Italy Palermo 16.2 15.2 15.2 United Kingdom Belfast 9.8 9.3 9.3 Italy Genoa 13.7 12.7 12.8 United Kingdom Newcastle upon Tyne 9 8.7 8.6 Italy Florence 15.4 14.3 14.4 United Kingdom Leicester 11.5 11.4 11.4 Italy Bari 13.3 12.2 12.3 United Kingdom Aberdeen 6.6 6.2 6.2 Italy Bologna 18.5 17 17.3 United Kingdom Cambridge 11.4 11.1 11.1 Italy Catania 14.9 14 14.1 United Kingdom Exeter 9.5 9.2 9.2 Italy Venice 25.2 24.1 24.1 United Kingdom Lincoln 10.9 10.6 10.6 Italy Verona 24 22.2 22.6 United Kingdom Portsmouth 11.4 11.2 11.2 Italy Perugia 13 12.2 12.3 United Kingdom Coventry 11.1 11.1 11.1 Italy Taranto 11.4 10.5 10.5 United Kingdom Kingston upon Hull 10.5 10.2 10.1 Italy Cagliari 12.9 12 12

431 Statistical Annex

Table C.4: Continued

Country Metropolitan areas 2015 2016 2017 Country Metropolitan areas 2015 2016 2017 Italy Padua 26.1 24.7 24.8 Japan Yamagata 9.8 8.9 9 Italy Brescia 26.4 23.9 24.3 Japan Kurume 14.3 13.6 13.7 Italy Modena 20.2 18.5 18.9 Japan Akita 9.3 8.8 8.8 Italy Salerno 15.4 14.2 14.2 Japan Asahikawa 9.3 8.9 8.9 Italy Messina 11.7 10.9 10.9 Japan Kusatsu 12.6 11.4 11.4 Italy Prato 20 18.7 19 Japan Fuji 12.2 11.4 11.4 Italy Parma 19.6 18 18.4 Japan Isesaki 12.6 11.2 11.3 Italy Reggio nell’Emilia 20.3 18.6 19 Japan Hakodate 8.7 8.1 8.1 Italy Rimini 17 15.6 15.8 Japan Hachinohe 8.2 7.7 7.7 Italy Bergamo 24.2 22.1 22.4 Japan Hitachi 10.4 9.3 9.4 Japan Tokyo 14.4 13.1 13.3 Japan Aomori 8.9 8.3 8.2 Japan Osaka 13.9 12.5 12.4 Japan Shimonoseki 10.3 9.6 9.6 Japan Nagoya 13.3 12.2 12.2 Japan Obihiro 8.8 8.4 8.4 Japan Fukuoka 16.2 15.4 15.5 Japan Shunan 10.8 10.3 10.3 Japan Sapporo 9.4 8.8 8.8 Korea Seoul 28.4 25.1 25.3 Japan Sendai 9.9 9 9.1 Korea Gimhae 25.1 22.9 23 Japan Okayama 11.9 11.1 11.1 Korea Dalseong 28.7 26 26 Japan Hiroshima 11 10.5 10.6 Korea Gwangsan 28.9 25.8 25.8 Japan Kitakyushu 12.8 12 12.1 Korea Seo 29.7 25.8 26.1 Japan Naha 15.5 14 14 Korea Seongsan 26.8 24.1 24.2 Japan Kumamoto 15.5 14.7 14.7 Korea Ulsan 24.7 22.6 22.6 Japan Yokkaichi 11.9 10.9 10.9 Korea Heungdeok 32.8 28.2 28.4 Japan Takasaki 12.9 11.4 11.6 Korea Deokjin 35.9 31.4 31.8 Japan Hamamatsu 11.3 10.4 10.5 Korea Sebuk 29.8 25.9 26.1 Japan Niigata 11.3 10.2 10.3 Korea Gyeongsan 25.9 23.4 23.4 Japan Utsunomiya 11.9 10.7 10.8 Korea Pohan 25.7 23.8 24 Japan Kanazawa 13.1 11.7 11.7 Korea Gumi 26.4 23.3 23.3 Japan Oita 12.7 11.8 11.9 Korea Jeju 25.1 23.9 24 Japan Kagoshima 16.5 15.4 15.4 Korea Jinju 27.3 24.6 24.6 Japan Himeji 12.7 11.5 11.5 Korea Wonju 31.8 28.5 28.4 Japan Mito 11.1 9.9 10.1 Korea Iksan 31.9 28 28.1 Japan Shizuoka 12 11.2 11.3 Korea Chuncheon 28.8 26.2 26.2 Japan Toyohashi 12 11 11.1 Korea Gunsan 31.5 27.5 28 Japan Nagasaki 16.1 15.4 15.4 Korea Suncheon 27.4 24.6 24.6 Japan Matsuyama 11.7 11 11.1 Lithuania Vilnius 13.8 13.2 13.2 Japan Toyama 12.5 11.2 11.3 Lithuania Kaunas 13.4 12.9 12.9 Japan Kofu 12.4 11.3 11.4 Luxembourg Luxembourg 10.9 10.2 10.2 Japan Takamatsu 12.1 11.2 11.2 Latvia Riga 17.4 17 16.8 Japan Nagano 12.9 11.4 11.6 Mexico Mexico City 23.3 22.1 22.1 Japan Tokushima 11.8 10.7 10.7 Mexico Guadalajara 27.9 26.2 26.1 Japan Numazu 11.8 11 11.1 Mexico Monterrey 28.9 27.1 27.1 Japan Fukui 12.6 11.3 11.3 Mexico Puebla 23 21.7 21.7 Japan Wakayama 12.1 11 10.9 Mexico Toluca 18.5 17.4 17.4 Japan Koriyama 10.8 9.6 9.7 Mexico Tijuana 19.7 18.5 18.5 Japan Kochi 12.2 11.2 11.2 Mexico Leon 24.9 23.3 23.3 Japan Miyazaki 14.4 13.3 13.3 Mexico Queretaro 20.1 19 18.9 Japan Morioka 8.4 7.8 7.9 Mexico Merida 31.9 29.6 29.5 Japan Fujieda 12.3 11.4 11.5 Mexico Juarez 21.7 20.3 20.3 Japan Fukushima 10.3 9.2 9.3 Mexico San Luis Potosi 23.1 21.6 21.5 Japan Matsumoto 12.3 10.9 11 Mexico Torreon 25.9 24.1 24

432 WORLD CITIES REPORT 2020

Table C.4: Continued

Country Metropolitan areas 2015 2016 2017 Country Metropolitan areas 2015 2016 2017 Mexico Mexicali 41 39 39 Mexico Tulancingo de Bravo 18.2 17.6 17.6 Mexico Cuernavaca 21.9 20.5 20.5 Mexico Carmen 26.6 24.7 24.6 Mexico Villahermosa 29.8 28 28.1 Mexico Othon P. Blanco 28.8 26.8 26.7 Mexico Culiacan 29.8 28 27.9 Netherlands The Hague 12.9 12.2 12.2 Mexico Morelia 19.6 18.6 18.6 Netherlands Amsterdam 13 12.2 12.2 Mexico Chihuahua 27.5 26.2 26.2 Netherlands Rotterdam 13.1 12.3 12.3 Mexico Veracruz 26.9 25.2 25 Netherlands Utrecht 13.1 12.3 12.3 Mexico Hermosillo 34 32.5 32.5 Netherlands Eindhoven 12.8 12.1 12.1 Mexico Aguascalientes 24.4 22.7 22.7 Netherlands Tilburg 13.8 13 13.1 Mexico Acapulco de Juarez 23.8 22.1 22.1 Netherlands Groningen 12 11 11 Mexico Tampico 23.5 21.7 21.6 Netherlands Enschede 13 12.1 12.1 Mexico Oaxaca de Juarez 24.3 22.4 22.4 Netherlands Arnhem 14 13.1 13.1 Mexico Reynosa 23.6 22 22.1 Netherlands Heerlen 11.8 11.1 11.1 Mexico Xalapa 22.3 21.3 21.2 Netherlands Breda 13.5 12.8 12.8 Mexico Saltillo 23.4 22.1 22 Netherlands Nijmegen 13.6 12.8 12.8 Mexico Benito Juarez 37.4 34.8 34.9 Netherlands s-Hertogenbosch 13.5 12.7 12.7 Mexico Celaya 20.6 19.5 19.4 Netherlands Leiden 13.6 12.9 12.9 Mexico Durango 27.4 25.6 25.5 Netherlands Zwolle 11.9 11.1 11.1 Mexico Tuxtla Gutierrez 34 31.7 31.8 Netherlands Alkmaar 12.8 12.1 12.1 Mexico Pachuca de Soto 18.8 18.1 18.1 Norway Oslo 8.7 8.4 8.4 Mexico Irapuato 23 21.7 21.7 Norway Bergen 6 5.8 5.8 Mexico Ahome 27.5 26.2 26.1 Norway Trondheim 6.5 6.2 6.2 Mexico Matamoros 24.8 22.9 22.9 Norway Stavanger 7.4 7.2 7.2 Mexico Ensenada 26.7 24.9 24.9 Poland Warsaw 23.8 21.4 21.4 Mexico Poza Rica de Hidalgo 21.4 20.1 20.1 Poland Lodz 26.5 24.1 24.1 Mexico Tepic 24.1 22.6 22.6 Poland Cracow 33.1 30.5 30.5 Mexico Orizaba 22.3 21.2 21.2 Poland Wroclaw 24.4 22.3 22.2 Mexico Mazatlan 28.6 26.8 26.7 Poland Poznan 20.9 19.6 19.6 Mexico Cajeme 34.3 32.8 32.8 Poland Gdansk 13.7 13.1 13.1 Mexico Nuevo Laredo 23.3 21.5 21.4 Poland Szczecin 15.2 14.4 14.4 Mexico Guadalupe 20.5 19.1 19 Poland Bydgoszcz 18 17.2 17.2 Mexico Coatzacoalcos 27.4 25.2 25.3 Poland Lublin 22 20.4 20.4 Mexico Tapachula 28 26.4 26.5 Poland Katowice 32.2 29.3 29.2 Mexico Victoria 28.8 26.5 26.3 Poland Bialystok 19.4 18 18 Mexico Tlaxcala 20.6 19.6 19.6 Poland Kielce 24.6 22.4 22.4 Mexico Cordoba 23.2 22 22 Poland Torun 17.7 16.7 16.7 Mexico Uruapan 20.5 19.5 19.5 Poland Olsztyn 16.2 15.2 15.2 Mexico Tehuacan 21.3 19.8 19.8 Poland Rzeszow 23.4 22.3 22.4 Mexico Minatitlan 24.7 22.9 22.9 Poland Nowy Sacz 28 26.4 26.5 Mexico Cuautla 21.6 20.5 20.5 Poland Czestochowa 27.6 24.9 24.9 Mexico Chilpancingo de los Bravo 18.6 17.3 17.3 Poland Radom 25.3 22.9 22.9 Mexico Monclova 23.3 21.9 21.9 Poland Bielsko-Biala 29.9 27.5 27.5 Mexico Los Cabos 26.7 25.6 25.7 Poland Tarnow 28.1 26.2 26.3 Mexico Colima 27.1 25.3 25.3 Portugal Lisbon 10.2 9.2 9.3 Mexico La Paz 27.6 26.5 26.5 Portugal Porto 8.7 7.9 7.9 Mexico Campeche 30.5 28.1 28 Portugal Coimbra 11 10 10 Mexico Puerto Vallarta 25 23.5 23.6 Slovak Republic Bratislava 17.7 16.4 16.4 Mexico Salamanca 20.1 19.1 19.1 Slovak Republic Kosice 20.9 19.7 19.8 Mexico San Juan del Rio 18.3 17.4 17.3 Slovenia Ljubljana 18.7 17.1 17.3 Mexico Zamora 20.7 19.5 19.5 Slovenia Maribor 18.7 17.3 17.3

433 Statistical Annex

Table C.4: Continued

Country Metropolitan areas 2015 2016 2017 Country Metropolitan areas 2015 2016 2017 Sweden Stockholm 5.9 5.7 5.8 United States Wake 7.9 7.3 7.3 Sweden Gothenburg 7 7 7 United States Jefferson (AL) 9.5 8.9 8.8 Sweden Malmo 9.9 9.3 9.4 United States Tampa-Hillsborough 7.1 6.5 6.5 Sweden Uppsala 5 4.9 4.9 United States Pima 6.3 6 6 United States New York (Greater) 8.1 7.5 7.5 United States Tulsa 9 8.3 8.3 United States Los Angeles (Greater) 9.6 9.2 9.2 United States Albany 6 5.4 5.4 United States Chicago 10 9 9.1 United States Providence 6.8 6.2 6.2 United States Washington (Greater) 8.5 7.7 7.7 United States Albuquerque 5 4.6 4.6 United States San Francisco (Greater) 7.9 7.5 7.5 United States Douglas (NE) 8.3 7.5 7.5 United States Philadelphia (Greater) 9 8.3 8.2 United States Rochester (NY) 6.8 6.2 6.1 United States Dallas 9 8.3 8.3 United States Kern 11.4 10.9 10.9 United States Houston 9.7 9.1 9.1 United States Ventura 8.6 8.2 8.2 United States Miami (Greater) 6.3 5.8 5.8 United States El Paso (TX) 10.3 9.7 9.7 United States Atlanta 9.3 8.7 8.6 United States East Baton Rouge 8.4 7.8 7.8 United States Boston 6.4 5.8 5.8 United States Worcester 6.1 5.5 5.5 United States Phoenix 7.3 7.1 7 United States Hidalgo 10 9.4 9.4 United States Detroit (Greater) 8.8 7.9 7.9 United States Richland 8.6 8 7.9 United States Seattle 5.3 4.8 4.8 United States Lehigh 9.3 8.5 8.5 United States Minneapolis 7.1 6.4 6.4 United States Sarasota 6.7 6.2 6.2 United States San Diego 9.3 8.8 8.8 United States Montgomery (OH) 9.9 8.8 8.8 United States St. Louis 9.5 8.5 8.5 United States San Joaquin 9 8.4 8.5 United States Denver 6.2 5.8 5.8 United States Kent 8 7.2 7.2 United States San Antonio 8.2 7.7 7.7 United States Charleston 7.7 7.2 7.1 United States Portland 6.1 5.5 5.5 United States Onondaga 6.3 5.7 5.7 United States Cincinnati 10 8.9 8.9 United States El Paso (CO) 5.4 5 5 United States Las Vegas 7.1 6.6 6.6 United States Ada 6 5.5 5.5 United States Orange 6.3 5.8 5.7 United States Hampden 6.5 5.9 5.9 United States Jackson (MO) 8 7.2 7.2 United States Lee 6.6 6.1 6 United States Indianapolis 10 8.9 8.9 United States Sedgwick 7.8 7.2 7.2 United States Cuyahoga 9.1 8.3 8.3 United States Polk 8.1 7.3 7.3 United States New Haven 7.6 6.9 6.9 United States Dauphin 10.1 9.1 9.1 United States Charlotte 8.4 7.9 7.8 United States Lucas 9.3 8.3 8.4 United States Sacramento 7.6 7.1 7.1 United States Pulaski 9.5 8.5 8.5 United States Austin 8 7.5 7.5 United States Dane 8.3 7.5 7.5 United States Columbus 9.4 8.5 8.5 United States Brevard 5.8 5.4 5.3 United States Milwaukee 8.7 8 8 United States Summit 9.4 8.6 8.6 United States Jacksonville 7.2 6.7 6.7 United States Hamilton (TN) 8.4 7.9 7.8 United States Salt Lake 8 7.4 7.4 United States Utah 7.1 6.5 6.5 United States Tampa-Pinellas 6.7 6.2 6.2 United States Lancaster (PA) 10.3 9.3 9.3 United States Jefferson (KY) 9.8 8.9 8.9 United States Stanislaus 10.5 9.8 9.9 United States Memphis 8.6 7.7 7.7 United States Greene 7.9 7.1 7.1 United States Davidson 8.3 7.7 7.6 United States Fayette 8.9 8.1 8.1 United States Oklahoma 8.4 7.6 7.6 United States Spokane 7.7 6.7 6.8 United States Hartford 7.1 6.5 6.4 United States Volusia-Daytona Beach 6.1 5.7 5.6 United States Pittsburgh 9.8 8.9 8.9 United States Guilford 8 7.5 7.4 United States New Orleans 7.9 7.3 7.3 United States Sonoma 6.6 6.1 6.1 United States Virginia Beach 7.4 6.8 6.8 United States Forsyth 7.9 7.3 7.3 United States Erie (NY) 7.5 6.8 6.7 United States Washoe 6.6 6.2 6.2 United States Fresno (Greater) 13 12.2 12.2 United States Ingham 7.9 7.1 7.1 United States Richmond (Greater) 7.7 7 7 United States Montgomery (AL) 9.2 8.5 8.5

434 WORLD CITIES REPORT 2020

Table C.4: Continued

Country Metropolitan areas 2015 2016 2017 Country Metropolitan areas 2015 2016 2017 United States Knox 8.7 8.2 8.1 United States McLennan 8.5 7.9 7.9 United States Greenville 8.3 7.8 7.7 United States Durham 8 7.4 7.3 United States Mahoning 9 8.3 8.2 United States Lackawanna 7.9 7.2 7.1 United States Escambia 7.7 7.2 7.1 United States St. Joseph 9.4 8.5 8.5 United States Caddo 9.3 8.5 8.5 United States Santa Cruz 6.2 5.9 5.9 United States Tulare 12.2 11.5 11.6 United States Webb 11.6 10.7 10.7 United States Newport News 7.5 6.9 6.8 United States Minnehaha 7.6 6.6 6.6 United States York 9.7 8.8 8.8 United States Merced 10.6 9.9 10 United States Genesee 7.7 6.9 7 United States Benton (WA) 7.2 6.3 6.4 United States Jefferson (TX) 8.6 7.9 7.9 United States Weld 5.5 5.1 5.1 United States Santa Barbara 7.4 7 7 United States Kalamazoo 8.4 7.5 7.6 United States Lafayette 7.8 7.2 7.2 United States Butte 7.4 6.7 6.8 United States Monterey 5.8 5.5 5.5 United States Yakima 5.8 5.1 5.1 United States Mobile 8.2 7.7 7.6 United States Brazos 9.1 8.5 8.4 United States Berks 9.6 8.7 8.7 United States Tuscaloosa 9.1 8.5 8.5 United States Cameron 11.4 10.5 10.6 United States Linn 8.6 7.7 7.7 United States Bell 7.9 7.4 7.4 United States Lafayette (IN) 9.5 8.4 8.5 United States Nueces 9.2 8.6 8.5 United States Weber 8 7.5 7.5 United States Marion (OR) 5.6 5.1 5.1 United States Cass 6.5 5.7 5.7 United States Allen 9.2 8.4 8.4 United States Benton (AR) 8.3 7.5 7.5

United States Scott 8.9 8 8 Source: stats.oecd.org United States Stark 9.6 8.8 8.7 United States Tallahassee 7.5 7 6.9 United States Cumberland (NC) 8.1 7.5 7.5 United States Lane 5.6 5.1 5.1 United States Winnebago (IL) 8.8 8 8 United States Chatham 8.4 7.8 7.8 United States Vanderburgh 10 9 9 United States Washtenaw 8.5 7.7 7.7 United States Lubbock 6.1 5.6 5.6 United States Madison 8.3 7.8 7.8 United States Marion (FL) 6.4 5.8 5.8 United States Peoria 8.7 7.9 7.9 United States Collier 6.9 6.4 6.4 United States Luzerne 8.9 8 8 United States Lancaster (NE) 7.5 6.8 6.7 United States Thurston 4.6 4.1 4.1 United States Sebastian 8.6 7.8 7.8 United States Roanoke 7.4 6.9 6.8 United States Muscogee 9.2 8.5 8.5 United States Brown 7.5 6.8 6.8 United States Alachua 6.6 6.1 6 United States Larimer 5.3 4.8 4.8 United States Boulder 5.5 5 5 United States Potter 6 5.6 5.6 United States Cumberland (ME) 5.7 5.1 5.1 United States Erie (PA) 8.5 7.7 7.7 United States St. Lucie 6 5.5 5.5 United States Nashville 8.2 7.7 7.6 United States Atlantic City 7.5 7 6.9

435 Statistical Annex

Table D.1: Gross Domestic Product (GDP) & Gini Coefficient in Selected Cities

GDP (Million USD, constant prices, constant PPP) GDP of the metropolitan area as a share of the national GDP Gini coefficient (at disposable income, after taxes and transfers) Country Metropolitan areas 2017 Country City/Region 2017 Country City/region 2010 2015 2017 Australia Greater Sydney 259,813 Australia Greater Sydney 21.9 Kazakhstan Akmola 0.27 0.27 0.27 Australia Greater Melbourne 208,411 Australia Greater Melbourne 17.6 Kazakhstan Aktobe 0.27 0.27 0.25 Australia Greater Brisbane 113,090 Australia Greater Brisbane 9.5 Kazakhstan Almaty 0.26 0.26 0.28 Australia Greater Perth 135,365 Australia Greater Perth 11.4 Kazakhstan Almaty City 0.24 0.27 0.29 Australia Greater Adelaide 53,531 Australia Greater Adelaide 4.5 Kazakhstan Atyrau 0.22 0.22 0.23 Australia Canberra 23,198 Australia Canberra 2.0 Kazakhstan City of Astana 0.29 0.22 0.23 Austria Vienna 159,274 Austria Vienna 35.3 Kazakhstan East Kazakhstan 0.28 0.28 0.31 Austria Graz 33,854 Austria Graz 7.5 Kazakhstan Karaganda 0.27 0.29 0.30 Austria Linz 35,496 Austria Linz 7.9 Kazakhstan Kostanai 0.26 0.25 0.25 Austria Salzburg 24,247 Austria Salzburg 5.4 Kazakhstan Kyzylorda 0.23 0.21 0.24 Austria Innsbruck 19,080 Austria Innsbruck 4.2 Kazakhstan Mangistau 0.18 0.21 0.17 Austria Klagenfurt 11,632 Austria Klagenfurt 2.6 Kazakhstan North Kazakhstan 0.27 0.27 0.29 Belgium Brussels 195,763 Belgium Brussels 36.3 Kazakhstan Pavlodar 0.25 0.23 0.25 Belgium Antwerp 64,970 Belgium Antwerp 12.0 Kazakhstan South Kazakhstan 0.21 0.19 0.21 Belgium Gent 34,082 Belgium Gent 6.3 Kazakhstan West Kazakhstan 0.25 0.26 0.28 Belgium Charleroi 15,470 Belgium Charleroi 2.9 Kazakhstan Zhambyl 0.22 0.22 0.23 Belgium Liege 27,780 Belgium Liege 5.2 Philippines Manila .. 0.39 .. Switzerland Zurich 103,562 Switzerland Zurich 18.9 Singapore Singapore 0.40 0.39 0.38 Switzerland Geneva 44,609 Switzerland Basel 8.9 Thailand Bangkok .. 0.31 0.32 Switzerland Basel 49,010 Switzerland Geneva 8.1 Vietnam Can Tho 0.37 .. .. Switzerland Lausanne 22,773 Switzerland Lausanne 4.2 Vietnam Da Nang 0.39 .. .. Chile Antofagasta 24,763 Chile Antofagasta 5.9 Vietnam Ha noi 0.42 .. .. Chile Coquimbo-La Serena 7,618 Chile Coquimbo-La Serena 1.8 Vietnam Hai Phong 0.41 .. .. Chile Valparaiso 19,205 Chile Valparaiso 4.6 Vietnam Ho Chi Minh City 0.38 .. .. Chile Santiago 161,134 Chile Santiago 38.4 Vietnam Vinh Long 0.36 .. .. Czech Republic Prague 127,326 Czech Republic Prague 33.5 Argentina Buenos Aires 0.51 .. .. Czech Republic Brno 24,819 Czech Republic Brno 6.5 Argentina Cordoba 0.51 .. .. Czech Republic Ostrava 21,307 Czech Republic Ostrava 5.6 Argentina Formosa 0.45 .. .. Czech Republic Plzen 11,537 Czech Republic Plzen 3.0 Colombia Armenia 0.53 0.49 0.45 Germany Berlin 231,498 Germany Berlin 5.7 Colombia Barranquilla 0.50 0.44 0.44 Germany Hamburg 197,838 Germany Hamburg 4.8 Colombia Bogota 0.53 0.50 0.50 Germany Munich 237,829 Germany Munich 5.8 Colombia Bucamaranga 0.45 0.41 0.41 Germany Cologne 121,399 Germany Cologne 3.0 Colombia Cali 0.53 0.48 0.46 Germany Frankfurt am Main 184,622 Germany Frankfurt am Main 4.5 Colombia Cartagena 0.49 0.47 0.45 Germany Stuttgart 185,964 Germany Stuttgart 4.6 Colombia Cucuta 0.48 0.44 0.43 Germany Leipzig 40,869 Germany Leipzig 1.0 Colombia Floencia 0.48 0.49 0.47 Germany Dresden 52,164 Germany Dresden 1.3 Colombia Ibagué 0.50 0.44 0.43 Germany Dusseldorf 109,324 Germany Dusseldorf 2.7 Colombia Manizales AM 0.50 0.46 0.46 Germany Bremen 61,115 Germany Bremen 1.5 Colombia Medellin 0.56 0.49 0.46 Germany Hanover 69,146 Germany Hanover 1.7 Colombia Monteria 0.53 0.45 0.46 Germany Nuremberg 78,727 Germany Neubrandenburg 0.2 Colombia Neiva 0.49 0.45 0.45 Germany Bielefeld 16,163 Germany Bielefeld 0.4 Colombia Pasto 0.52 0.49 0.47 Germany Halle an der Saale 16,613 Germany Halle an der Saale 0.4 Colombia Pereira AM 0.46 0.44 0.40 Germany Magdeburg 19,193 Germany Magdeburg 0.5 Colombia Popayan 0.51 0.50 0.49 Germany Wiesbaden 28,251 Germany Wiesbaden 0.7 Colombia Quibdó 0.53 0.53 0.53 Germany Gottingen 19,285 Germany Gottingen 0.5 Colombia Riohacha 0.52 0.52 0.52 Germany Darmstadt 25,731 Germany Darmstadt 0.6 Colombia Santa Marta 0.49 0.46 0.47 Germany Trier 9,753 Germany Trier 0.2 Colombia Sincelejo 0.47 0.45 0.44 Germany Freiburg im Breisgau 30,581 Germany Freiburg im Breisgau 0.7 Colombia Tunja 0.47 0.47 0.46

436 WORLD CITIES REPORT 2020

Table D.1: Continued

GDP (Million USD, constant prices, constant PPP) GDP of the metropolitan area as a share of the national GDP Gini coefficient (at disposable income, after taxes and transfers) Germany Regensburg 27,537 Germany Regensburg 0.7 Colombia Valledupar 0.51 0.45 0.46 Germany Schwerin 10,954 Germany Schwerin 0.3 Colombia Villavicencio 0.47 0.45 0.45 Germany Erfurt 21,315 Germany Erfurt 0.5 Costa Rica San Jose 0.47 .. .. Germany Augsburg 31,184 Germany Augsburg 0.8 Dominican Republic Santo Domingo 0.58 .. .. Germany Bonn 50,253 Germany Bonn 1.2 Ecuador Quito 0.51 .. .. Germany Karlsruhe 44,922 Germany Karlsruhe 1.1 El Salvador San Salvador 0.41 .. .. Germany Monchengladbach 11,011 Germany Monchengladbach 0.3 Honduras Resto Urbano 0.54 0.49 0.52 Germany Mainz 24,235 Germany Mainz 0.6 Honduras San Pedro Sula 0.54 0.50 0.51 Germany Ruhr 204,334 Germany Ruhr 5.0 Honduras Tegucigalpa 0.54 0.52 0.51 Germany Kiel 27,584 Germany Kiel 0.7 Mexico Culiacan 0.37 .. .. Germany Saarbrucken 37,549 Germany Saarbrucken 0.9 Mexico Guadalajara 0.42 .. .. Germany Koblenz 18,260 Germany Koblenz 0.4 Mexico Mexico City 0.49 .. .. Germany Rostock 16,268 Germany Rostock 0.4 Mexico Tijuana 0.50 .. .. Germany Kaiserslautern 10,431 Germany Kaiserslautern 0.3 Panama Panama City 0.46 .. .. Germany Iserlohn 19,029 Germany Iserlohn 0.5 Paraguay Asuncion 0.5 .. .. Germany Flensburg 11,328 Germany Flensburg 0.3 Peru Lima 0.4 .. .. Germany Constance 12,059 Germany Constance 0.3 Uruguay Montevideo 0.43 .. .. Germany Giessen 11,649 Germany Giessen 0.3 Venezuela Caracas 0.38 .. .. Germany Aschaffenburg 18,712 Germany Aschaffenburg 0.5 United States Ada .. 0.36 .. Germany Neubrandenburg 8,781 Germany Nuremberg 1.9 United States Albany .. 0.32 .. Germany Rosenheim 14,313 Germany Rosenheim 0.4 United States Albuquerque .. 0.43 .. Germany Offenburg 21,286 Germany Offenburg 0.5 United States ampa-Pinellas .. 0.39 .. Germany Gorlitz 8,348 Germany Gorlitz 0.2 United States Atlanta .. 0.39 .. Germany Schweinfurt 14,248 Germany Schweinfurt 0.3 United States Boston .. 0.38 .. Germany Wetzlar 10,505 Germany Wetzlar 0.3 United States Brevard .. 0.36 .. Germany Braunschweig-Salzgitter 62,369 Germany Braunschweig-Salzgitter 1.5 United States Charleston .. 0.35 .. Wolfsburg Wolfsburg Germany Mannheim-Ludwigshafen 67,466 Germany Mannheim-Ludwigshafen 1.7 United States Charlotte .. 0.38 .. Germany Muenster 30,054 Germany Muenster 0.7 United States Chicago .. 0.41 .. Germany Aachen 25,854 Germany Aachen 0.6 United States Cincinnati .. 0.36 .. Germany Lubeck 17,339 Germany Lubeck 0.4 United States Columbus .. 0.36 .. Germany Kassel 22,142 Germany Kassel 0.5 United States Cuyahoga .. 0.39 .. Germany Osnabruck 23,899 Germany Osnabruck 0.6 United States Dallas .. 0.41 .. Germany Oldenburg (Oldenburg) 18,073 Germany Oldenburg (Oldenburg) 0.4 United States Dane .. 0.34 .. Germany Heidelberg 33,935 Germany Heidelberg 0.8 United States Dauphin .. 0.33 .. Germany Paderborn 13,682 Germany Paderborn 0.3 United States Davidson .. 0.39 .. Germany Wurzburg 25,436 Germany Wurzburg 0.6 United States Denver .. 0.37 .. Germany Bremerhaven 10,866 Germany Bremerhaven 0.3 United States Detroit (Greater) .. 0.38 .. Germany Heilbronn 29,142 Germany Heilbronn 0.7 United States Douglas (NE) .. 0.34 .. Germany Ulm 27,246 Germany Ulm 0.7 United States East Baton Rouge .. 0.37 .. Germany forzheim 13,809 Germany Pforzheim 0.3 United States El Paso (CO) .. 0.34 .. Germany Ingolstadt 38,034 Germany Ingolstadt 0.9 United States El Paso (TX) .. 0.40 .. Germany Reutlingen 14,188 Germany Reutlingen 0.3 United States Erie (NY) .. 0.33 .. Germany Siegen 18,218 Germany Siegen 0.4 United States Fayette .. 0.37 .. Germany Hildesheim 9,726 Germany Hildesheim 0.2 United States Forsyth .. 0.38 .. Germany Zwickau 12,417 Germany Zwickau 0.3 United States Fresno (Greater) .. 0.40 .. Germany Wuppertal 16,134 Germany Wuppertal 0.4 United States Greene .. 0.37 .. Germany Duren, Stadt 9,418 Germany Duren, Stadt 0.2 United States Guilford .. 0.39 .. Germany Bocholt, Stadt 16,814 Germany Bocholt, Stadt 0.4 United States Hamilton (TN) .. 0.37 .. Denmark Copenhagen 116,136 Denmark Copenhagen 39.5 United States Hampden .. 0.36 .. Denmark Aarhus 22,971 Denmark Aarhus 7.8 United States Hartford .. 0.35 ..

437 Statistical Annex

Table D.1: Continued

GDP (Million USD, constant prices, constant PPP) GDP of the metropolitan area as a share of the national GDP Gini coefficient (at disposable income, after taxes and transfers) Denmark Odense 14,961 Denmark Odense 5.1 United States Hidalgo .. 0.43 .. Denmark Aalborg 13,464 Denmark Aalborg 4.6 United States Houston .. 0.43 .. Spain Madrid 332,275 Spain Madrid 19.3 United States Indianapolis .. 0.39 .. Spain Barcelona 213,713 Spain Barcelona 12.4 United States Jackson (MO) .. 0.37 .. Spain Valencia 57,081 Spain Valencia 3.3 United States Jacksonville .. 0.39 .. Spain Seville 44,701 Spain Seville 2.6 United States Jefferson (AL) .. 0.38 .. Spain Saragossa 30,131 Spain Saragossa 1.8 United States Jefferson (KY) .. 0.35 .. Spain Malaga 22,857 Spain Malaga 1.3 United States Kent .. 0.36 .. Spain Las Palmas 18,337 Spain Las Palmas 1.1 United States Kern .. 0.38 .. Spain Valladolid 15,738 Spain Valladolid 0.9 United States Lancaster (PA) .. 0.31 .. Spain Palma de Mallorca 28,999 Spain Palma de Mallorca 1.7 United States Las Vegas .. 0.39 .. Spain Vitoria 14,748 Spain Vitoria 0.9 United States Lee .. 0.40 .. Spain Pamplona 16,736 Spain Pamplona 1.0 United States Lehigh .. 0.34 .. Spain Santander 13,476 Spain Santander 0.8 United States Los Angeles (Greater) .. 0.42 .. Spain Bilbao 45,357 Spain Bilbao 2.6 United States Lucas .. 0.38 .. Spain Vigo 16,795 Spain Vigo 1.0 United States Memphis .. 0.39 .. Spain Santa Cruz de Tenerife 16,564 Spain Santa Cruz de Tenerife 1.0 United States Miami (Greater) .. 0.44 .. Spain Granada 14,839 Spain Granada 0.9 United States Milwaukee .. 0.38 .. Estonia Tallinn 18,112 Estonia Tallinn 43.2 United States Minneapolis .. 0.33 .. Finland Helsinki 86,078 Finland Helsinki 34.9 United States Montgomery (OH) .. 0.37 .. Finland Tampere 17,881 Finland Tampere 7.2 United States New Haven .. 0.43 .. Finland Turku 14,903 Finland Turku 6.0 United States New Orleans .. 0.41 .. Finland Oulu 9,344 Finland Oulu 3.8 United States New York (Greater) .. 0.42 .. France Paris 891,730 France Paris 31.7 United States Oklahoma .. 0.39 .. France Lyon 111,077 France Lyon 4.0 United States Onondaga .. 0.33 .. France Toulouse 67,315 France Toulouse 2.4 United States Orange .. 0.38 .. France Strasbourg 32,851 France Strasbourg 1.2 United States Philadelphia (Greater) .. 0.39 .. France Bordeaux 51,565 France Bordeaux 1.8 United States Phoenix .. 0.40 .. France Nantes 42,217 France Nantes 1.5 United States Pima .. 0.41 .. France Lille 53,623 France Lille 1.9 United States Pittsburgh .. 0.38 .. France Montpellier 24,786 France Montpellier 0.9 United States Polk .. 0.34 .. France Saint-Etienne 16,169 France Saint-Etienne 0.6 United States Portland .. 0.36 .. France Rennes 29,072 France Rennes 1.0 United States Providence .. 0.38 .. France Amiens 10,981 France Amiens 0.4 United States Pulaski .. 0.36 .. France Nancy 16,437 France Nancy 0.6 United States Richland .. 0.33 .. France Reims 13,526 France Reims 0.5 United States Richmond (Greater) .. 0.36 .. France Orleans 16,522 France Orleans 0.6 United States Rochester (NY) .. 0.34 .. France Dijon 16,523 France Dijon 0.6 United States Sacramento .. 0.38 .. France Poitiers 9,704 France Poitiers 0.3 United States Salt Lake .. 0.35 .. France Clermont-Ferrand 18,737 France Clermont-Ferrand 0.7 United States San Antonio .. 0.39 .. France Caen 15,764 France Caen 0.6 United States San Diego .. 0.39 .. France Limoges 11,466 France Limoges 0.4 United States San Joaquin .. 0.37 .. France Grenoble 26,525 France Grenoble 0.9 United States Sarasota .. 0.40 .. France Fort-de-France 9,739 France Fort-de-France 0.3 United States Seattle .. 0.39 .. France Toulon 16,173 France Toulon 0.6 United States Sedgwick .. 0.34 .. France Tours 18,493 France Tours 0.7 United States Spokane .. 0.38 .. France Angers 14,172 France Angers 0.5 United States St. Louis .. 0.40 .. France Le Mans 13,160 France Le Mans 0.5 United States Stanislaus .. 0.38 .. France Mulhouse 13,525 France Mulhouse 0.5 United States Summit .. 0.38 .. France Perpignan 11,391 France Perpignan 0.4 United States Tampa-Hillsborough .. 0.40 ..

438 WORLD CITIES REPORT 2020

Table D.1: Continued

GDP (Million USD, constant prices, constant PPP) GDP of the metropolitan area as a share of the national GDP Gini coefficient (at disposable income, after taxes and transfers) France Marseille 52,814 France Marseille 1.9 United States Tulsa .. 0.38 .. France Nice 42,676 France Nice 1.5 United States Utah .. 0.34 .. France Les Abymes 7,875 France Les Abymes 0.3 United States Ventura .. 0.37 .. United Kingdom London 840,175 United Kingdom London 29.2 United States Virginia Beach .. 0.33 .. United Kingdom West Midlands urban area 109,023 United Kingdom West Midlands urban area 3.8 United States Volusia-Daytona .. 0.38 .. Beach United Kingdom Leeds 94,036 United Kingdom Leeds 3.3 United States Wake .. 0.34 .. United Kingdom Glasgow 65,110 United Kingdom Glasgow 2.3 United States Washington (Greater) .. 0.36 .. United Kingdom Liverpool 49,746 United Kingdom Liverpool 1.7 United States Washoe .. 0.40 .. United Kingdom Edinburgh 48,815 United Kingdom Edinburgh 1.7 Austria Graz .. 0.27 .. United Kingdom Manchester 133,767 United Kingdom Manchester 4.7 Austria Linz .. 0.25 .. United Kingdom Cardiff 31,564 United Kingdom Cardiff 1.1 Austria Vienna .. 0.27 .. United Kingdom Sheffield 35,998 United Kingdom Sheffield 1.3 Belgium Antwerp .. 0.30 .. United Kingdom Bristol 44,820 United Kingdom Bristol 1.6 Belgium Gent .. 0.29 .. United Kingdom Belfast 33,317 United Kingdom Belfast 1.2 Belgium Liege .. 0.31 .. United Kingdom Newcastle upon Tyne 37,322 United Kingdom Newcastle upon Tyne 1.3 Canada Montreal .. 0.35 .. United Kingdom Leicester 32,723 United Kingdom Leicester 1.1 Canada Calgary .. 0.45 .. United Kingdom Aberdeen 27,351 United Kingdom Aberdeen 1.0 Canada Halifax .. 0.34 .. United Kingdom Cambridge 17,312 United Kingdom Cambridge 0.6 Canada Hamilton .. 0.34 .. United Kingdom Exeter 16,310 United Kingdom Exeter 0.6 Canada London .. 0.35 .. United Kingdom Portsmouth 20,307 United Kingdom Portsmouth 0.7 Canada Saskatoon .. 0.36 .. United Kingdom Coventry 33,872 United Kingdom Coventry 1.2 Canada Sherbrooke .. 0.30 .. United Kingdom Kingston upon Hull 19,552 United Kingdom Kingston upon Hull 0.7 Canada Toronto .. 0.41 .. United Kingdom Stoke-on-Trent 15,157 United Kingdom Stoke-on-Trent 0.5 Canada Vancouver .. 0.41 .. United Kingdom Nottingham 32,578 United Kingdom Nottingham 1.1 Canada Victoria .. 0.35 .. United Kingdom Wirral 7,940 United Kingdom Wirral 0.3 Canada Windsor .. 0.36 .. United Kingdom Sunderland 10,844 United Kingdom Sunderland 0.4 Canada Winnipeg .. 0.36 .. United Kingdom Medway 7,978 United Kingdom Medway 0.3 France Rennes .. 0.25 .. United Kingdom Brighton and Hove 17,583 United Kingdom Brighton and Hove 0.6 France Bordeaux .. 0.26 .. United Kingdom Plymouth 13,237 United Kingdom Plymouth 0.5 France Grenoble .. 0.27 .. United Kingdom Swansea 12,606 United Kingdom Swansea 0.4 France Lille .. 0.28 .. United Kingdom Derby 17,329 United Kingdom Derby 0.6 France Lyon .. 0.28 .. United Kingdom Southampton 29,375 United Kingdom Southampton 1.0 France Marseille .. 0.29 .. United Kingdom Milton Keynes 20,829 United Kingdom Milton Keynes 0.7 France Montpellier .. 0.28 .. United Kingdom Northampton 20,569 United Kingdom Northampton 0.7 France Nantes .. 0.24 .. United Kingdom Bournemouth 20,108 United Kingdom Bournemouth 0.7 France Nice .. 0.28 .. United Kingdom Colchester 10,064 United Kingdom Colchester 0.4 France Paris .. 0.33 .. United Kingdom Dundee City 8,421 United Kingdom Dundee City 0.3 France Rouen .. 0.27 .. United Kingdom Blackburn with Darwen 10,447 United Kingdom Blackburn with Darwen 0.4 France Saint-Etienne .. 0.25 .. United Kingdom Middlesbrough 16,843 United Kingdom Middlesbrough 0.6 France Strasbourg .. 0.27 .. United Kingdom Oxford 25,596 United Kingdom Oxford 0.9 France Toulon .. 0.26 .. United Kingdom Preston 11,744 United Kingdom Preston 0.4 France Toulouse .. 0.27 .. United Kingdom Norwich 14,205 United Kingdom Norwich 0.5 Italy Bari .. 0.33 .. United Kingdom Cheshire West and Chester 20,699 United Kingdom Cheshire West and Chester 0.7 Italy Bologna .. 0.31 .. Greece Athens 132,525 Greece Athens 44.9 Italy Catania .. 0.29 .. Greece Thessaloniki 24,856 Greece Thessaloniki 8.4 Italy Florence .. 0.31 .. Hungary Budapest 129,911 Hungary Budapest 46.4 Italy Genoa .. 0.30 .. Hungary Debrecen 6,759 Hungary Debrecen 2.4 Italy Milan .. 0.31 .. Hungary Gyor 8,711 Hungary Gyor 3.1 Italy Naples .. 0.32 .. Hungary Szekesfehervar 7,632 Hungary Szekesfehervar 2.7 Italy Padua .. 0.31 .. Ireland Dublin 174,706 Ireland Dublin 48.0 Italy Palermo .. 0.30 ..

439 Statistical Annex

Table D.1: Continued

GDP (Million USD, constant prices, constant PPP) GDP of the metropolitan area as a share of the national GDP Gini coefficient (at disposable income, after taxes and transfers) Ireland Cork 52,523 Ireland Cork 14.4 Italy Rome .. 0.32 .. Italy Rome 216,147 Italy Rome 9.4 Italy Turin .. 0.32 .. Italy Milan 300,231 Italy Milan 13.0 Italy Venice .. 0.29 .. Italy Naples 86,497 Italy Naples 3.7 Italy Verona .. 0.31 .. Italy Turin 75,673 Italy Turin 3.3 Norway Oslo .. 0.27 .. Italy Palermo 25,111 Italy Palermo 1.1 Portugal Lisbon .. 0.40 .. Italy Genoa 32,138 Italy Genoa 1.4 Portugal Porto .. 0.39 .. Italy Florence 39,582 Italy Florence 1.7 Sweden Gothenburg .. 0.28 .. Italy Bari 20,647 Italy Bari 0.9 Sweden Malmo .. 0.33 .. Italy Bologna 41,747 Italy Bologna 1.8 Sweden Stockholm .. 0.31 .. Italy Catania 15,283 Italy Catania 0.7 South Africa Ekurhuleni .. 0.62 .. Italy Venice 22,239 Italy Venice 1.0 South Africa Ethekwini (Durban) .. 0.62 .. Italy Verona 22,899 Italy Verona 1.0 South Africa Johannesburg .. 0.67 .. Italy Taranto 9,882 Italy Taranto 0.4 South Africa Port Elizabeth .. 0.65 .. Italy Cagliari 15,719 Italy Cagliari 0.7 South Africa Tshwane (Pretoria) .. 0.67 .. Italy Padua 23,591 Italy Padua 1.0 Turkey Istanbul 0.37 0.40 .. Italy Prato 11,690 Italy Prato 0.5 Source: OECD - http://stats.oecd.org/Index. Italy Parma 16,972 Italy Parma 0.7 aspx?DataSetCode=CITIES Italy Reggio nell’Emilia 13,383 Italy Reggio nell’Emilia 0.6 Italy Rimini 10,057 Italy Rimini 0.4 Korea Seoul 1,005,538 Korea Seoul 49.0 Korea Gimhae 147,574 Korea Gimhae 7.2 Korea Dalseong 61,319 Korea Dalseong 3.0 Korea Gwangsan 47,546 Korea Gwangsan 2.3 Korea Seo 45,337 Korea Seo 2.2 Korea Ulsan 67,566 Korea Ulsan 3.3 Korea Heungdeok 41,158 Korea Heungdeok 2.0 Korea Jeju 17,392 Korea Jeju 0.8 Lithuania Vilnius 24,836 Lithuania Vilnius 27.7 Lithuania Kaunas 9,809 Lithuania Kaunas 11.0 Mexico Mexico City 518,787 Mexico Mexico City 22.2 Mexico Guadalajara 103,732 Mexico Guadalajara 4.4 Mexico Monterrey 158,951 Mexico Monterrey 6.8 Mexico Queretaro 38,553 Mexico Queretaro 1.6 Mexico Merida 23,541 Mexico Merida 1.0 Mexico Cuernavaca 14,110 Mexico Cuernavaca 0.6 Mexico Aguascalientes 21,581 Mexico Aguascalientes 0.9 Netherlands The Hague 58,288 Netherlands The Hague 6.5 Netherlands Amsterdam 195,944 Netherlands Amsterdam 21.9 Netherlands Rotterdam 99,751 Netherlands Rotterdam 11.1 Netherlands Utrecht 56,542 Netherlands Utrecht 6.3 Netherlands Eindhoven 45,572 Netherlands Eindhoven 5.1 Netherlands Tilburg 14,088 Netherlands Tilburg 1.6 Netherlands Groningen 25,051 Netherlands Groningen 2.8 Netherlands Enschede 16,721 Netherlands Enschede 1.9 Netherlands Arnhem 18,964 Netherlands Arnhem 2.1 Netherlands Breda 19,048 Netherlands Breda 2.1 Netherlands Leiden 15,311 Netherlands Leiden 1.7 Netherlands Zwolle 16,525 Netherlands Zwolle 1.8 Netherlands Alkmaar 11,203 Netherlands Alkmaar 1.3

440 WORLD CITIES REPORT 2020

Table D.1: Continued

GDP (Million USD, constant prices, constant PPP) GDP of the metropolitan area as a share of the national GDP Gini coefficient (at disposable income, after taxes and transfers) Norway Oslo 92,462 Norway Oslo 28.5 Norway Bergen 21,384 Norway Bergen 6.6 Norway Trondheim 13,880 Norway Trondheim 4.3 Norway Stavanger 18,167 Norway Stavanger 5.6 Poland Warsaw 192,249 Poland Warsaw 17.4 Poland Lodz 29,904 Poland Lodz 2.7 Poland Cracow 51,046 Poland Cracow 4.6 Poland Wroclaw 37,800 Poland Wroclaw 3.4 Poland Poznan 46,242 Poland Poznan 4.2 Poland Gdansk 39,841 Poland Gdansk 3.6 Poland Bydgoszcz 14,266 Poland Bydgoszcz 1.3 Poland Lublin 17,530 Poland Lublin 1.6 Poland Katowice 80,837 Poland Katowice 7.3 Poland Bialystok 10,005 Poland Bialystok 0.9 Poland Rzeszow 12,271 Poland Rzeszow 1.1 Poland Czestochowa 9,937 Poland Czestochowa 0.9 Poland Bielsko-Biala 10,764 Poland Bielsko-Biala 1.0 Poland Tarnow 5,586 Poland Tarnow 0.5 Portugal Lisbon 119,484 Portugal Lisbon 36.8 Portugal Porto 37,888 Portugal Porto 11.7 Portugal Coimbra 7,674 Portugal Coimbra 2.4 Slovak Republic Bratislava 32,700 Slovak Republic Bratislava 19.1 Slovenia Ljubljana 25,966 Slovenia Ljubljana 36.8 Slovenia Maribor 8,903 Slovenia Maribor 12.6 Sweden Stockholm 155,127 Sweden Stockholm 30.8 Sweden Gothenburg 50,143 Sweden Gothenburg 10.0 Sweden Malmo 28,943 Sweden Malmo 5.8 Sweden Uppsala 14,295 Sweden Uppsala 2.8 United States New York (Greater) 1,676,319 United States New York (Greater) 8.8 United States Los Angeles (Greater) 1,138,721 United States Los Angeles (Greater) 6.0 United States Chicago 641,022 United States Chicago 3.4 United States Washington (Greater) 949,948 United States Washington (Greater) 5.0 United States San Francisco (Greater) 785,176 United States San Francisco (Greater) 4.1 United States Philadelphia (Greater) 440,309 United States Philadelphia (Greater) 2.3 United States Dallas 477,088 United States Dallas 2.5 United States Houston 437,076 United States Houston 2.3 United States Miami (Greater) 334,968 United States Miami (Greater) 1.8 United States Atlanta 358,026 United States Atlanta 1.9 United States Boston 400,894 United States Boston 2.1 United States Phoenix 232,110 United States Phoenix 1.2 United States Detroit (Greater) 254,055 United States Detroit (Greater) 1.3 United States Seattle 350,638 United States Seattle 1.8 United States Minneapolis 242,197 United States Minneapolis 1.3 United States San Diego 224,202 United States an Diego 1.2 United States St. Louis 149,353 United States St. Louis 0.8 United States Denver 196,188 United States Denver 1.0 United States San Antonio 122,777 United States San Antonio 0.6 United States Portland 146,760 United States Portland 0.8 United States Cincinnati 129,939 United States Cincinnati 0.7 United States Las Vegas 111,336 United States Las Vegas 0.6

441 Statistical Annex

Table D.1: Continued

GDP (Million USD, constant prices, constant PPP) GDP of the metropolitan area as a share of the national GDP Gini coefficient (at disposable income, after taxes and transfers) United States Orange 127,120 United States Orange 0.7 United States Jackson (MO) 121,428 United States Jackson (MO) 0.6 United States Indianapolis 130,402 United States Indianapolis 0.7 United States Cuyahoga 124,990 United States Cuyahoga 0.7 United States New Haven 134,539 United States New Haven 0.7 United States Charlotte 137,241 United States Charlotte 0.7 United States Sacramento 133,623 United States Sacramento 0.7 United States Austin 132,970 United States Austin 0.7 United States Columbus 119,809 United States Columbus 0.6 United States Milwaukee 96,527 United States Milwaukee 0.5 United States Jacksonville 79,606 United States Jacksonville 0.4 United States Salt Lake 103,794 United States Salt Lake 0.5 United States Tampa-Pinellas 59,732 United States Tampa-Pinellas 0.3 United States Jefferson (KY) 71,194 United States Jefferson (KY) 0.4 United States Memphis 70,118 United States Memphis 0.4 United States Davidson 102,456 United States Davidson 0.5 United States Oklahoma 71,927 United States Oklahoma 0.4 United States Hartford 94,974 United States Hartford 0.5 United States Pittsburgh 103,144 United States Pittsburgh 0.5 United States New Orleans 69,980 United States New Orleans 0.4 United States Virginia Beach 64,715 United States Virginia Beach 0.3 United States Erie (NY) 64,742 United States Erie (NY) 0.3 United States Fresno (Greater) 49,785 United States Fresno (Greater) 0.3 United States Richmond (Greater) 73,909 United States Richmond (Greater) 0.4 United States Wake 74,061 United States Wake 0.4 United States Jefferson (AL) 58,265 United States Jefferson (AL) 0.3 United States Tampa-Hillsborough 82,215 United States Tampa-Hillsborough 0.4 United States Pima 41,257 United States Pima 0.2 United States Tulsa 52,923 United States Tulsa 0.3 United States Albany 60,515 United States Albany 0.3 United States Providence 51,281 United States Providence 0.3 United States Albuquerque 40,614 United States Albuquerque 0.2 United States Douglas (NE) 59,331 United States Douglas (NE) 0.3 United States Rochester (NY) 50,189 United States Rochester (NY) 0.3 United States Kern 46,490 United States Kern 0.2 United States Ventura 55,950 United States Ventura 0.3 United States El Paso (TX) 29,885 United States El Paso (TX) 0.2 United States East Baton Rouge 49,518 United States East Baton Rouge 0.3 United States Worcester 42,469 United States Worcester 0.2 United States Hidalgo 21,488 United States Hidalgo 0.1 United States Richland 40,128 United States Richland 0.2 United States Lehigh 37,453 United States Lehigh 0.2 United States Sarasota 31,293 United States Sarasota 0.2 United States Montgomery (OH) 36,118 United States Montgomery (OH) 0.2 United States San Joaquin 29,455 United States San Joaquin 0.2 United States Kent 41,839 United States Kent 0.2 United States Charleston 39,145 United States Charleston 0.2 United States Onondaga 38,896 United States Onondaga 0.2 United States El Paso (CO) 34,988 United States El Paso (CO) 0.2 United States Ada 32,433 United States Ada 0.2

442 WORLD CITIES REPORT 2020

Table D.1: Continued

GDP (Million USD, constant prices, constant PPP) GDP of the metropolitan area as a share of the national GDP Gini coefficient (at disposable income, after taxes and transfers) United States Hampden 29,558 United States Hampden 0.2 United States Lee 28,182 United States Lee 0.1 United States Sedgwick 32,534 United States Sedgwick 0.2 United States Polk 46,087 United States Polk 0.2 United States Dauphin 37,772 United States Dauphin 0.2 United States Lucas 30,908 United States Lucas 0.2 United States Pulaski 31,297 United States Pulaski 0.2 United States Dane 45,276 United States Dane 0.2 United States Brevard 23,522 United States Brevard 0.1 United States Summit 28,704 United States Summit 0.2 United States Hamilton (TN) 28,676 United States Hamilton (TN) 0.2 United States Utah 24,295 United States Utah 0.1 United States Lancaster (PA) 27,307 United States Lancaster (PA) 0.1 United States Stanislaus 22,888 United States Stanislaus 0.1 United States Greene 20,618 United States Greene 0.1 United States Fayette 27,733 United States USA88: 0.1 United States Spokane 25,163 United States Spokane 0.1 United States Volusia-Daytona Beach 17,158 United States Volusia-Daytona Beach 0.1 United States Guilford 33,173 United States Guilford 0.2 United States Sonoma 29,316 United States Sonoma 0.2 United States Forsyth 27,143 United States Forsyth 0.1 United States Washoe 28,516 United States Washoe 0.2 United States Ingham 21,662 United States Ingham 0.1 United States Montgomery (AL) 19,520 United States Montgomery (AL) 0.1 United States Knox 25,403 United States Knox 0.1 United States Greenville 28,615 United States Greenville 0.2 United States Mahoning 16,410 United States Mahoning 0.1 United States Escambia 18,752 United States Escambia 0.1 United States Caddo 23,028 United States Caddo 0.1 United States Tulare 17,751 United States Tulare 0.1 United States Newport News 25,283 United States Newport News 0.1 United States York 19,580 United States York 0.1 United States Genesee 14,020 United States Genesee 0.1 United States Jefferson (TX) 28,858 United States Jefferson (TX) 0.2 United States Santa Barbara 27,772 United States Santa Barbara 0.1 United States Lafayette 19,096 United States Lafayette 0.1 United States Monterey 25,511 United States Monterey 0.1 United States Mobile 18,536 United States Mobile 0.1 United States Berks 18,837 United States Berks 0.1 United States Cameron 10,488 United States Cameron 0.1 United States Bell 17,521 United States Bell 0.1 United States Nueces 21,205 United States Nueces 0.1 United States Marion (OR) 16,842 United States Marion (OR) 0.1 United States Allen 21,258 United States Allen 0.1 United States Scott 21,594 United States Scott 0.1 United States Stark 15,952 United States Stark 0.1 United States Tallahassee 17,015 United States Tallahassee 0.1 United States Cumberland (NC) 18,019 United States Cumberland (NC) 0.1 United States Lane 15,945 United States Lane 0.1

443 Statistical Annex

Table D.1: Continued

GDP (Million USD, constant prices, constant PPP) GDP of the metropolitan area as a share of the national GDP Gini coefficient (at disposable income, after taxes and transfers) United States Winnebago (IL) 15,356 United States Winnebago (IL) 0.1 United States Chatham 20,473 United States Chatham 0.1 United States Vanderburgh 19,879 United States Vanderburgh 0.1 United States Washtenaw 22,826 United States Washtenaw 0.1 United States Lubbock 16,334 United States Lubbock 0.1 United States Madison 21,830 United States Madison 0.1 United States Marion (FL) 9,541 United States Marion (FL) 0.1 United States Peoria 21,232 United States Peoria 0.1 United States Collier 16,345 United States Collier 0.1 United States Luzerne 15,303 United States Luzerne 0.1 United States Lancaster (NE) 19,041 United States Lancaster (NE) 0.1 United States Thurston 14,234 United States Thurston 0.1 United States Sebastian 10,742 United States Sebastian 0.1 United States Roanoke 21,871 United States Roanoke 0.1 United States Muscogee 14,336 United States Muscogee 0.1 United States Brown 19,219 United States Brown 0.1 United States Alachua 14,589 United States Alachua 0.1 United States Larimer 17,166 United States Larimer 0.1 United States Boulder 25,614 United States Boulder 0.1 United States Potter 19,615 United States Potter 0.1 United States Cumberland (ME) 20,178 United States Cumberland (ME) 0.1 United States Erie (PA) 11,533 United States Erie (PA) 0.1 United States St. Lucie 8,756 United States St. Lucie 0.0 United States Nashville 14,148 United States Nashville 0.1 United States Atlantic City 13,493 United States Atlantic City 0.1 United States McLennan 13,746 United States McLennan 0.1 United States Durham 37,091 United States Durham 0.2 United States Lackawanna 10,937 United States Lackawanna 0.1 United States St. Joseph 12,903 United States St. Joseph 0.1 United States Santa Cruz 14,357 United States Santa Cruz 0.1 United States Webb 14,639 United States Webb 0.1 United States Minnehaha 21,582 United States Minnehaha 0.1 United States Merced 9,496 United States Merced 0.1 United States Benton (WA) 14,288 United States Benton (WA) 0.1 United States Weld 16,280 United States Weld 0.1 United States Kalamazoo 13,040 United States Kalamazoo 0.1 United States Butte 10,847 United States Butte 0.1 United States Yakima 9,795 United States Yakima 0.1 United States Brazos 12,448 United States Brazos 0.1 United States Tuscaloosa 9,834 United States Tuscaloosa 0.1 United States Linn 16,882 United States Linn 0.1 United States Lafayette (IN) 10,755 United States Lafayette (IN) 0.1 United States Weber 10,288 United States Weber 0.1 United States Cass 14,050 United States Cass 0.1 United States Benton (AR) 13,322 United States Benton (AR) 0.1

Source: OECD - http://stats.oecd.org/Index.aspx?DataSetCode=CITIES

444