388Enhancing Urban Safety and SecurityTABLE C.1continuedEstimates Annual rate Share in urbanand Projections <strong>of</strong> change population(000) (%) (%)1990 1995 2000 2005 2010 2015 1990– 1995– 2000– 2005– 2010– 1990 20151995 2000 2005 2010 2015India Hyderabad 4,193 4,825 5,445 6,115 6,749 7,420 2.81 2.42 2.32 1.97 1.90 1.93 1.84India Indore 1,088 1,314 1,597 1,913 2,172 2,413 3.77 3.91 3.61 2.54 2.10 0.50 0.60India Jabalpur 879 981 1,100 1,231 1,366 1,519 2.19 2.29 2.24 2.09 2.12 0.41 0.38India Jaipur 1,478 1,826 2,259 2,747 3,130 3,470 4.23 4.26 3.91 2.61 2.06 0.68 0.86India Jalandhar 502 588 694 811 916 1,023 3.16 3.31 3.12 2.45 2.20 0.23 0.25India Jamshedpur 817 938 1,081 1,238 1,387 1,542 2.75 2.84 2.71 2.26 2.13 0.38 0.38India Jodhpur 654 743 842 951 1,061 1,181 2.54 2.51 2.43 2.19 2.16 0.30 0.29India Kanpur 2,001 2,294 2,641 3,018 3,363 3,718 2.73 2.82 2.67 2.17 2.01 0.92 0.92India Kochi (Cochin) 1,103 1,229 1,340 1,463 1,609 1,785 2.17 1.73 1.76 1.91 2.08 0.51 0.44India Kolkata (Calcutta) 10,890 11,924 13,058 14,277 15,548 16,980 1.82 1.82 1.78 1.71 1.76 5.02 4.21India Kota 523 604 692 789 883 986 2.89 2.71 2.61 2.27 2.19 0.24 0.24India Kozhikode (Calicut) 781 835 875 924 1,007 1,119 1.33 0.94 1.09 1.71 2.12 0.36 0.28India Lucknow 1,614 1,906 2,221 2,566 2,872 3,180 3.33 3.06 2.88 2.26 2.04 0.74 0.79India Ludhiana 1,006 1,183 1,368 1,571 1,759 1,954 3.24 2.91 2.77 2.26 2.10 0.46 0.49India Madurai 1,073 1,132 1,187 1,254 1,365 1,514 1.07 0.95 1.10 1.69 2.07 0.49 0.38India Meerut 824 975 1,143 1,328 1,494 1,662 3.36 3.18 3.00 2.36 2.13 0.38 0.41India Mumbai (Bombay) 12,308 14,111 16,086 18,196 20,036 21,869 2.73 2.62 2.47 1.93 1.75 5.67 5.43India Mysore 640 708 776 852 942 1,049 2.01 1.85 1.87 2.00 2.15 0.30 0.26India Nagpur 1,637 1,849 2,089 2,350 2,606 2,885 2.44 2.44 2.35 2.07 2.03 0.75 0.72India Nashik 700 886 1,117 1,381 1,588 1,769 4.71 4.63 4.23 2.79 2.17 0.32 0.44India Patna 1,087 1,331 1,658 2,029 2,320 2,578 4.05 4.40 4.03 2.69 2.11 0.50 0.64India Pune (Poona) 2,430 2,978 3,655 4,409 5,000 5,524 4.07 4.09 3.75 2.52 1.99 1.12 1.37India Raipur 453 553 680 824 942 1,053 4.00 4.13 3.82 2.69 2.22 0.21 0.26India Rajkot 638 787 974 1,185 1,357 1,513 4.21 4.26 3.92 2.70 2.18 0.29 0.38India Ranchi 607 712 844 989 1,118 1,247 3.21 3.39 3.18 2.45 2.18 0.28 0.31India Salem 574 647 736 834 932 1,039 2.38 2.58 2.50 2.22 2.18 0.27 0.26India Solapur 613 720 853 1,002 1,132 1,263 3.20 3.41 3.20 2.46 2.18 0.28 0.31India Srinagar 730 833 954 1,087 1,216 1,353 2.62 2.72 2.61 2.24 2.14 0.34 0.34India Surat 1,468 1,984 2,699 3,557 4,166 4,623 6.01 6.16 5.52 3.16 2.08 0.68 1.15India Thiruvananthapuram 801 853 885 926 1,006 1,118 1.25 0.73 0.92 1.65 2.11 0.37 0.28India Tiruchirappalli 705 768 837 915 1,009 1,123 1.71 1.74 1.78 1.96 2.14 0.33 0.28India Vadodara 1,096 1,273 1,465 1,675 1,872 2,077 2.99 2.81 2.68 2.22 2.09 0.51 0.52India Varanasi (Benares) 1,013 1,106 1,199 1,303 1,432 1,589 1.75 1.62 1.67 1.88 2.09 0.47 0.39India Vijayawada 821 914 999 1,094 1,206 1,341 2.14 1.79 1.81 1.95 2.12 0.38 0.33India Visakhapatnam 1,018 1,168 1,309 1,465 1,625 1,804 2.73 2.29 2.24 2.08 2.09 0.47 0.45Indonesia Bandung 2,460 2,896 3,448 4,126 4,786 5,338 3.26 3.49 3.59 2.96 2.19 4.43 3.70Indonesia Bogor 596 625 683 805 942 1,064 0.94 1.78 3.27 3.16 2.42 1.08 0.74Indonesia Jakarta 7,650 9,161 11,065 13,215 15,206 16,822 3.60 3.78 3.55 2.81 2.02 13.79 11.65Indonesia Malang 620 698 807 964 1,129 1,273 2.40 2.88 3.57 3.16 2.39 1.12 0.88Indonesia Medan 1,537 1,699 1,931 2,287 2,661 2,981 2.01 2.56 3.39 3.03 2.27 2.77 2.06Indonesia Palembang 1,032 1,212 1,442 1,733 2,022 2,270 3.20 3.48 3.68 3.09 2.31 1.86 1.57Indonesia Pekalongan 420 550 713 881 1,034 1,167 5.40 5.17 4.23 3.22 2.41 0.76 0.81Indonesia Semarang 804 795 832 967 1,130 1,273 -0.21 0.90 3.00 3.11 2.39 1.45 0.88Indonesia Surabaya 2,061 2,252 2,536 2,992 3,473 3,883 1.77 2.37 3.31 2.99 2.23 3.72 2.69Indonesia Surakarta 578 599 649 762 893 1,008 0.70 1.61 3.23 3.16 2.43 1.04 0.70Indonesia Tegal 550 650 774 933 1,094 1,233 3.34 3.49 3.74 3.17 2.40 0.99 0.85Indonesia Ujung Pandang 816 926 1,074 1,284 1,501 1,688 2.53 2.98 3.57 3.12 2.35 1.47 1.17Iran (Islamic Republic <strong>of</strong>) Ahvaz 685 784 871 960 1,051 1,152 2.69 2.10 1.96 1.80 1.84 2.15 2.01Iran (Islamic Republic <strong>of</strong>) Esfahan 1,094 1,230 1,381 1,535 1,679 1,836 2.33 2.33 2.11 1.80 1.78 3.43 3.20Iran (Islamic Republic <strong>of</strong>) Karaj 693 903 1,063 1,223 1,354 1,483 5.30 3.25 2.82 2.02 1.83 2.17 2.58Iran (Islamic Republic <strong>of</strong>) Kermanshah 608 675 750 827 905 994 2.11 2.09 1.95 1.82 1.86 1.90 1.73Iran (Islamic Republic <strong>of</strong>) Mashhad 1,680 1,854 1,990 2,134 2,307 2,515 1.97 1.41 1.40 1.56 1.72 5.26 4.38Iran (Islamic Republic <strong>of</strong>) Qom 622 744 888 1,035 1,150 1,261 3.56 3.55 3.05 2.10 1.85 1.95 2.20Iran (Islamic Republic <strong>of</strong>) Shiraz 946 1,030 1,124 1,222 1,331 1,456 1.70 1.74 1.67 1.70 1.80 2.97 2.54Iran (Islamic Republic <strong>of</strong>) Tabriz 1,058 1,165 1,274 1,387 1,510 1,651 1.91 1.79 1.71 1.69 1.79 3.32 2.88Iran (Islamic Republic <strong>of</strong>) Tehran 6,365 6,687 6,979 7,314 7,807 8,432 0.99 0.86 0.94 1.30 1.54 19.94 14.68Iraq Al-Basrah (Basra) 474 631 759 837 926 1,028 5.71 3.68 1.97 2.02 2.08 3.67 4.21Iraq Al-Mawsil (Mosul) 736 889 1,056 1,234 1,407 1,565 3.78 3.44 3.12 2.62 2.14 5.70 6.42Iraq Baghdad 4,092 4,598 5,200 5,904 6,593 7,242 2.34 2.46 2.54 2.20 1.88 31.70 29.68Iraq Irbil (Erbil) 536 644 773 925 1,070 1,195 3.65 3.65 3.60 2.90 2.22 4.16 4.90Israel Hefa (Haifa) 582 775 888 992 1,043 1,104 5.74 2.73 2.22 1.00 1.13 14.26 15.32Israel Tel Aviv-Yafo (Tel Aviv-Jaffa) 2,026 2,442 2,752 3,012 3,256 3,453 3.73 2.39 1.81 1.56 1.17 49.68 47.92Japan Fukuoka-Kitakyushu 2,487 2,619 2,716 2,800 2,830 2,834 1.04 0.73 0.61 0.22 0.02 3.19 3.25Japan Hiroshima 1,986 2,040 2,044 2,044 2,045 2,045 0.54 0.04 0.01 0.00 0.00 2.55 2.34Japan Kyoto 1,760 1,804 1,806 1,805 1,805 1,805 0.49 0.02 -0.00 -0.00 -0.00 2.26 2.07Japan Nagoya 2,947 3,055 3,122 3,179 3,200 3,202 0.71 0.44 0.36 0.13 0.01 3.78 3.67Japan Osaka-Kobe 11,035 11,052 11,165 11,268 11,305 11,309 0.03 0.20 0.18 0.07 0.01 14.16 12.96Japan Sapporo 2,319 2,476 2,508 2,530 2,538 2,539 1.31 0.26 0.17 0.06 0.01 2.98 2.91Japan Sendai 2,021 2,135 2,184 2,224 2,239 2,240 1.09 0.46 0.36 0.13 0.01 2.59 2.57Japan Tokyo 32,530 33,587 34,450 35,197 35,467 35,494 0.64 0.51 0.43 0.15 0.02 41.75 40.69Jordan Amman 851 985 1,132 1,292 1,461 1,615 2.91 2.79 2.64 2.46 2.00 36.23 27.21Kazakhstan Almaty 1,080 1,108 1,137 1,156 1,164 1,183 0.52 0.51 0.33 0.14 0.31 11.63 13.19Kuwait Al Kuwayt (Kuwait City) 1,392 1,105 1,549 1,810 2,099 2,341 -4.62 6.76 3.12 2.96 2.19 66.27 70.33Kyrgyzstan Bishkek 635 703 766 798 841 902 2.03 1.72 0.81 1.04 1.41 38.26 40.46Lebanon Bayrut (Beirut) 1,293 1,268 1,487 1,777 1,941 2,055 -0.39 3.19 3.57 1.77 1.13 56.72 58.95Malaysia Kuala Lumpur 1,120 1,213 1,306 1,405 1,534 1,696 1.58 1.47 1.47 1.74 2.02 12.60 7.61Mongolia Ulaanbaatar 572 661 764 863 932 999 2.90 2.90 2.44 1.54 1.39 45.23 56.84Myanmar Mandalay 630 712 809 924 1,054 1,192 2.43 2.56 2.66 2.63 2.45 6.22 5.80
Data tables389TABLE C.1continuedMyanmar Rangoon 2,897 3,233 3,634 4,107 4,635 5,184 2.20 2.34 2.45 2.42 2.24 28.58 25.24Nepal Kathmandu 398 509 644 815 1,028 1,280 4.92 4.70 4.71 4.65 4.38 23.52 18.67Pakistan Faisalabad 1,520 1,804 2,140 2,494 2,877 3,326 3.43 3.41 3.07 2.85 2.90 4.45 4.34Pakistan Gujranwala 848 1,019 1,224 1,440 1,668 1,937 3.69 3.66 3.24 2.95 2.98 2.48 2.53Pakistan Hyderabad 950 1,077 1,221 1,392 1,605 1,864 2.51 2.52 2.62 2.85 2.98 2.78 2.43Pakistan Karachi 7,147 8,467 10,020 11,608 13,252 15,155 3.39 3.37 2.94 2.65 2.68 20.93 19.78Pakistan Lahore 3,970 4,653 5,448 6,289 7,201 8,271 3.17 3.16 2.87 2.71 2.77 11.63 10.79Pakistan Multan 953 1,097 1,263 1,452 1,675 1,944 2.82 2.82 2.78 2.87 2.98 2.79 2.54Pakistan Peshawar 769 905 1,066 1,240 1,436 1,669 3.27 3.26 3.03 2.93 3.00 2.25 2.18Pakistan Rawalpindi 1,087 1,286 1,520 1,770 2,045 2,371 3.36 3.34 3.05 2.89 2.95 3.18 3.09Philippines Cebu 612 661 721 799 902 1,006 1.53 1.75 2.05 2.42 2.19 2.05 1.49Philippines Davao 854 1,001 1,152 1,327 1,511 1,680 3.17 2.81 2.82 2.59 2.13 2.87 2.50Philippines Manila 7,973 9,401 9,950 10,686 11,799 12,917 3.30 1.13 1.43 1.98 1.81 26.75 19.18Republic <strong>of</strong> Korea Goyang 241 493 744 1,040 1,183 1,210 14.28 8.25 6.69 2.59 0.44 0.76 2.97Republic <strong>of</strong> Korea Ich’on 1,785 2,271 2,464 2,620 2,695 2,712 4.82 1.62 1.23 0.56 0.13 5.64 6.65Republic <strong>of</strong> Korea Kwangju 1,122 1,249 1,346 1,436 1,483 1,499 2.16 1.49 1.30 0.64 0.21 3.54 3.68Republic <strong>of</strong> Korea Pusan 3,778 3,813 3,673 3,554 3,529 3,534 0.18 -0.75 -0.66 -0.14 0.03 11.94 8.67Republic <strong>of</strong> Korea Seongnam 534 842 911 955 981 994 9.10 1.59 0.93 0.55 0.26 1.69 2.44Republic <strong>of</strong> Korea Soul (Seoul) 10,544 10,256 9,917 9,645 9,554 9,545 -0.55 -0.67 -0.56 -0.19 -0.02 33.31 23.41Republic <strong>of</strong> Korea Suwon 628 748 932 1,134 1,228 1,248 3.50 4.42 3.91 1.59 0.33 1.98 3.06Republic <strong>of</strong> Korea Taegu 2,215 2,434 2,478 2,511 2,538 2,551 1.88 0.36 0.26 0.22 0.10 7.00 6.26Republic <strong>of</strong> Korea Taejon 1,036 1,256 1,362 1,453 1,500 1,516 3.85 1.62 1.30 0.64 0.21 3.27 3.72Republic <strong>of</strong> Korea Ulsan 673 945 1,011 1,056 1,084 1,097 6.80 1.36 0.87 0.52 0.24 2.13 2.69Saudi Arabia Ad-Dammam 409 533 639 766 904 1,025 5.30 3.63 3.62 3.32 2.51 3.26 4.00Saudi Arabia Al-Madinah (Medina) 529 669 795 944 1,107 1,251 4.69 3.45 3.45 3.18 2.45 4.22 4.88Saudi Arabia Ar-Riyadh (Riyadh) 2,325 3,035 3,567 4,193 4,863 5,438 5.33 3.23 3.23 2.96 2.24 18.54 21.21Saudi Arabia Jiddah 1,742 2,200 2,509 2,860 3,244 3,612 4.66 2.63 2.62 2.52 2.15 13.89 14.09Saudi Arabia Makkah (Mecca) 856 1,033 1,168 1,319 1,488 1,661 3.76 2.45 2.45 2.41 2.20 6.83 6.48Singapore Singapore 3,016 3,478 4,017 4,326 4,590 4,815 2.85 2.88 1.48 1.19 0.96 100.00 100.00Syrian Arab Republic Dimashq (Damascus) 1,691 1,849 2,035 2,272 2,559 2,872 1.79 1.92 2.20 2.38 2.30 26.91 22.61Syrian Arab Republic Halab (Aleppo) 1,554 1,870 2,212 2,520 2,840 3,185 3.70 3.37 2.61 2.39 2.29 24.73 25.07Syrian Arab Republic Hims (Homs) 565 680 806 923 1,048 1,183 3.70 3.40 2.72 2.53 2.43 8.99 9.31Thailand Krung Thep (Bangkok) 5,888 6,106 6,332 6,593 6,963 7,439 0.73 0.73 0.81 1.09 1.32 36.63 29.79Turkey Adana 907 1,011 1,123 1,245 1,364 1,471 2.18 2.10 2.06 1.82 1.50 2.67 2.48Turkey Ankara 2,561 2,842 3,179 3,573 3,914 4,191 2.08 2.25 2.33 1.82 1.37 7.55 7.06Turkey Bursa 819 981 1,180 1,414 1,591 1,718 3.62 3.69 3.61 2.36 1.54 2.41 2.89Turkey Gaziantep 595 710 844 992 1,111 1,202 3.54 3.47 3.23 2.26 1.58 1.75 2.02Turkey Istanbul 6,552 7,665 8,744 9,712 10,546 11,211 3.14 2.63 2.10 1.65 1.22 19.32 18.87Turkey Izmir 1,741 1,966 2,216 2,487 2,728 2,929 2.43 2.39 2.31 1.85 1.42 5.13 4.93Turkey Konya 508 610 734 871 980 1,061 3.66 3.69 3.42 2.34 1.60 1.50 1.79<strong>United</strong> Arab Emirates Dubayy (Dubai) 473 650 938 1,330 1,537 1,688 6.36 7.35 6.98 2.89 1.88 32.00 39.03Uzbekistan Tashkent 2,072 2,104 2,137 2,181 2,284 2,460 0.30 0.30 0.42 0.92 1.49 25.18 21.10Viet Nam Hà Noi 3,126 3,424 3,752 4,164 4,703 5,320 1.82 1.83 2.09 2.43 2.47 23.31 17.73Viet Nam Hai Phòng 1,474 1,585 1,704 1,873 2,120 2,411 1.45 1.46 1.89 2.48 2.58 10.99 8.04Viet NamEstimates Annual rate Share in urbanand Projections <strong>of</strong> change population(000) (%) (%)1990 1995 2000 2005 2010 2015 1990– 1995– 2000– 2005– 2010– 1990 20151995 2000 2005 2010 2015Thành Pho Ho Chí Minh(Ho Chi Minh City) 3,996 4,296 4,621 5,065 5,698 6,436 1.45 1.46 1.84 2.36 2.43 29.80 21.45Yemen Sana’a’ 653 1,034 1,365 1,801 2,339 2,931 9.18 5.55 5.54 5.23 4.52 25.83 32.25EUROPEBelarus Minsk 1,607 1,649 1,694 1,778 1,875 1,903 0.52 0.54 0.97 1.06 0.30 23.56 26.92Belgium Bruxelles-Brussel 962 960 964 1,012 1,050 1,062 -0.04 0.09 0.98 0.74 0.21 10.01 10.34Bulgaria S<strong>of</strong>iya (S<strong>of</strong>ia) 1,191 1,191 1,164 1,093 1,063 1,059 0.01 -0.46 -1.26 -0.56 -0.07 20.57 20.32Czech Republic Praha (Prague) 1,210 1,197 1,181 1,171 1,183 1,186 -0.21 -0.28 -0.17 0.20 0.05 15.61 15.91Denmark København (Copenhagen) 1,338 1,358 1,079 1,088 1,094 1,098 0.30 -4.61 0.17 0.10 0.08 30.67 22.72Finland Helsinki 872 943 1,019 1,091 1,120 1,135 1.57 1.56 1.35 0.54 0.26 28.46 33.75France Bordeaux 699 730 763 790 808 822 0.88 0.87 0.71 0.45 0.33 1.66 1.67France Lille 961 984 1,007 1,029 1,048 1,063 0.47 0.47 0.43 0.36 0.29 2.29 2.16France Lyon 1,265 1,313 1,362 1,403 1,428 1,446 0.74 0.73 0.59 0.36 0.24 3.01 2.94France Marseille-Aix-en-Provence 1,305 1,331 1,357 1,382 1,404 1,421 0.39 0.39 0.37 0.32 0.24 3.11 2.89France Nice-Cannes 854 874 894 914 931 946 0.46 0.46 0.44 0.38 0.30 2.03 1.92France Paris 9,331 9,510 9,692 9,820 9,856 9,858 0.38 0.38 0.26 0.07 0.00 22.21 20.03France Toulouse 654 714 778 830 854 868 1.75 1.74 1.27 0.57 0.33 1.56 1.76Germany Berlin 3,434 3,471 3,392 3,389 3,389 3,389 0.22 -0.46 -0.02 0.00 0.00 5.89 5.38Germany Hamburg 1,652 1,708 1,715 1,740 1,752 1,755 0.66 0.08 0.29 0.14 0.03 2.84 2.79Germany Köln (Cologne) 954 966 966 965 961 961 0.25 -0.00 -0.02 -0.07 -0.01 1.64 1.53Germany München (Munich) 1,229 1,236 1,211 1,263 1,296 1,303 0.12 -0.41 0.83 0.52 0.12 2.11 2.07Greece Athínai (A<strong>the</strong>ns) 3,070 3,122 3,179 3,230 3,248 3,251 0.34 0.37 0.31 0.11 0.02 51.34 47.49Greece Thessaloniki 746 771 797 820 832 841 0.66 0.67 0.58 0.29 0.21 12.48 12.28Hungary Budapest 2,005 1,893 1,787 1,693 1,664 1,655 -1.15 -1.15 -1.08 -0.35 -0.10 29.39 24.02Ireland Dublin 916 946 989 1,037 1,107 1,186 0.65 0.87 0.96 1.30 1.38 45.82 39.76Italy Milano (Milan) 3,063 3,020 2,985 2,953 2,939 2,937 -0.28 -0.23 -0.22 -0.10 -0.01 8.09 7.31Italy Napoli (Naples) 2,208 2,218 2,232 2,245 2,251 2,252 0.09 0.13 0.12 0.05 0.01 5.83 5.61Italy Palermo 844 850 855 859 862 862 0.14 0.12 0.11 0.05 0.01 2.23 2.15Italy Roma (Rome) 3,450 3,425 3,385 3,348 3,332 3,330 -0.14 -0.24 -0.22 -0.10 -0.01 9.12 8.29Italy Torino (Turin) 1,775 1,733 1,694 1,660 1,644 1,642 -0.48 -0.45 -0.41 -0.18 -0.02 4.69 4.09Ne<strong>the</strong>rlands Amsterdam 1,053 1,102 1,126 1,147 1,173 1,201 0.90 0.43 0.38 0.45 0.48 10.26 8.42Ne<strong>the</strong>rlands Rotterdam 1,047 1,078 1,092 1,101 1,118 1,143 0.57 0.26 0.17 0.30 0.44 10.20 8.00Norway Oslo 684 729 774 802 825 842 1.28 1.19 0.72 0.55 0.42 22.41 22.15Poland Kraków (Cracow) 735 748 756 763 766 767 0.35 0.21 0.19 0.08 0.02 3.15 3.14
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ENHANCING URBAN SAFETYAND SECURITY
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First published by Earthscan in the
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INTRODUCTIONEnhancing Urban Safety
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ACKNOWLEDGEMENTSThe preparation of
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4Understanding Urban Safety and Sec
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1CHAPTERCURRENT THREATS TO URBANSAF
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46Urban crime and violenceBox II.1
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94Urban crime and violenceabove wha
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96Urban crime and violenceCampaigns
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98Urban crime and violenceAvailable
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100Urban crime and violenceBox 4.7
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102Urban crime and violenceIn some
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104Urban crime and violenceInitiati
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106Urban crime and violenceThe most
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108Urban crime and violenceVandersc
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112Security of tenureBox III.1 Secu
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5CHAPTERSECURITY OF TENURE:CONDITIO
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116Security of tenureTable 5.1A gen
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118Security of tenureFully legalDeg
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120Security of tenureBox 5.4 Securi
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122Security of tenureUrban tenurein
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124Security of tenureAt least 2 mil
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126Security of tenureMarket-basedev
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128Security of tenureBox 5.11 Urban
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130Security of tenureOperationMuram
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132Security of tenureControl of lan
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134Security of tenureBox 5.18 Secur
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136Security of tenureNOTES1 Habitat
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138Security of tenureBox 6.1 The Mi
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140Security of tenureIt would be fo
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142Security of tenureBox 6.7 Land t
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144Security of tenureBox 6.10 What
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146Security of tenureBox 6.12 Evict
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148Security of tenureBox 6.15 Const
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150Security of tenureBox 6.18 Viola
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152Security of tenureThe GlobalCamp
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154Security of tenureBox 6.24 Land-
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156Security of tenureThe state is o
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158Security of tenureHousing rights
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Over the last three decades, natura
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Introduction165One of the key trend
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7CHAPTERDISASTER RISK: CONDITIONS,T
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Disaster risk: Conditions, trends a
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Disaster risk: Conditions, trends a
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Disaster risk: Conditions, trends a
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Disaster risk: Conditions, trends a
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8CHAPTERPOLICY RESPONSES TODISASTER
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Policy responses to disaster risk19
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Policy responses to disaster risk19
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Policy responses to disaster risk21
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Policy responses to disaster risk21
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220Natural and human-made disasters
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222Natural and human-made disasters
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224Natural and human-made disasters
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226Natural and human-made disasters
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228Natural and human-made disasters
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230Natural and human-made disasters
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232Natural and human-made disasters
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236Towards safer and more secure ci
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238Towards safer and more secure ci
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240Towards safer and more secure ci
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242Towards safer and more secure ci
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244Towards safer and more secure ci
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246Towards safer and more secure ci
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248Towards safer and more secure ci
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250Towards safer and more secure ci
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252Towards safer and more secure ci
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254Towards safer and more secure ci
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256Towards safer and more secure ci
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258Towards safer and more secure ci
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260Towards safer and more secure ci
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11CHAPTERENHANCING TENURE SECURITYA
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264Towards safer and more secure ci
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266Towards safer and more secure ci
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268Towards safer and more secure ci
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270Towards safer and more secure ci
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272Towards safer and more secure ci
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274Towards safer and more secure ci
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276Enhancing Urban Safety and Secur
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12CHAPTERMITIGATING THE IMPACTS OFD
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280Towards safer and more secure ci
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282Towards safer and more secure ci
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284Towards safer and more secure ci
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286Towards safer and more secure ci
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288Towards safer and more secure ci
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290Towards safer and more secure ci
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292Towards safer and more secure ci
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294Towards safer and more secure ci
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296Towards safer and more secure ci
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298Towards safer and more secure ci
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300Towards safer and more secure ci
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304Summary of case studiesSince its
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306Summary of case studies• The e
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308Summary of case studiestions wit
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310Summary of case studiesenvironme
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312Summary of case studiesothers. O
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314Summary of case studiespurposes.
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316Summary of case studiesThese eff
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318Summary of case studiesdevelopme
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320Summary of case studiestion exer
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322Summary of case studiesHousing r
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324Summary of case studiesProlonged
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326Summary of case studiesmomentum
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330Statistical annexIslands, Micron
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332Statistical annexNOMENCLATURE AN
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334Statistical annexPopulation, urb
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336Statistical annexSOURCES OF DATA
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- Page 444 and 445: 410TABLE C.7continuedEnhancing Urba
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- Page 467 and 468: INDEXACHR (Asian Coalition for Hous
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Index439hazard management 169hazard
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Index441Kosovo, security of tenure
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Index443participation 38, 296-299pa
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Index445individual 34-35municipal f
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Index447gun ownership 78Homeless Pe