386 Enhancing Urban Safety and Security TABLE C.1 c<strong>on</strong>tinued Estimates Annual rate Share in urban and Projecti<strong>on</strong>s of change populati<strong>on</strong> (000) (%) (%) 1990 1995 2000 2005 2010 2015 1990– 1995– 2000– 2005– 2010– 1990 2015 1995 2000 2005 2010 2015 China Changsha, Hunan 1,329 1,667 2,091 2,451 2,832 3,169 4.53 4.53 3.18 2.89 2.25 0.42 0.46 China Changzhou, Jiangsu 730 883 1,068 1,249 1,445 1,623 3.81 3.81 3.13 2.91 2.33 0.23 0.24 China Chengdu 2,955 3,403 3,919 4,065 4,266 4,637 2.82 2.82 0.73 0.97 1.67 0.93 0.68 China Chifeng 987 1,065 1,148 1,238 1,348 1,490 1.51 1.51 1.51 1.71 2.00 0.31 0.22 China Ch<strong>on</strong>gqing 3,123 4,342 6,037 6,363 6,690 7,258 6.59 6.59 1.05 1.00 1.63 0.99 1.06 China Dalian 2,472 2,658 2,858 3,073 3,335 3,664 1.45 1.45 1.45 1.64 1.88 0.78 0.53 China Dand<strong>on</strong>g 661 716 776 841 921 1,021 1.61 1.61 1.61 1.81 2.06 0.21 0.15 China Daqing 997 1,167 1,366 1,594 1,842 2,067 3.15 3.15 3.09 2.90 2.30 0.32 0.30 China Dat<strong>on</strong>g, Shanxi 1,277 1,392 1,518 1,763 2,038 2,285 1.73 1.73 2.99 2.90 2.29 0.40 0.33 China D<strong>on</strong>gguan, Guangd<strong>on</strong>g 1,737 2,559 3,770 4,320 4,850 5,370 7.75 7.75 2.72 2.32 2.04 0.55 0.78 China Foshan 429 569 754 888 1,027 1,156 5.63 5.63 3.26 2.92 2.37 0.14 0.17 China Fushun, Lia<strong>on</strong>ing 1,388 1,410 1,433 1,456 1,516 1,653 0.32 0.32 0.32 0.81 1.73 0.44 0.24 China Fuyu, Jilin 945 984 1,025 1,068 1,133 1,244 0.81 0.81 0.81 1.19 1.87 0.30 0.18 China Fuzhou, Fujian 1,396 1,710 2,096 2,453 2,834 3,172 4.06 4.06 3.15 2.89 2.25 0.44 0.46 China Guangzhou, Guangd<strong>on</strong>g 3,918 5,380 7,388 8,425 9,447 10,420 6.34 6.34 2.62 2.29 1.96 1.24 1.52 China Guilin 557 666 795 929 1,075 1,210 3.55 3.55 3.12 2.92 2.36 0.18 0.18 China Guiyang 1,665 2,208 2,929 3,447 3,980 4,446 5.65 5.65 3.26 2.87 2.21 0.53 0.65 China Haerbin 2,991 3,209 3,444 3,695 4,003 4,392 1.41 1.41 1.41 1.60 1.85 0.95 0.64 China Handan 1,092 1,201 1,321 1,535 1,775 1,992 1.90 1.90 3.00 2.90 2.31 0.35 0.29 China Hangzhou 1,476 1,887 2,411 2,831 3,269 3,656 4.91 4.91 3.21 2.88 2.24 0.47 0.53 China Hefei 1,100 1,342 1,637 1,916 2,214 2,481 3.98 3.98 3.14 2.89 2.28 0.35 0.36 China Hengyang 702 783 873 973 1,087 1,211 2.17 2.17 2.17 2.22 2.16 0.22 0.18 China Heze 1,200 1,238 1,277 1,318 1,388 1,519 0.62 0.62 0.62 1.04 1.80 0.38 0.22 China Hohhot 938 1,142 1,389 1,625 1,878 2,107 3.92 3.92 3.14 2.90 2.30 0.30 0.31 China Huai’an 1,113 1,154 1,198 1,243 1,315 1,441 0.74 0.74 0.73 1.13 1.83 0.35 0.21 China Huaibei 536 627 733 858 995 1,121 3.14 3.14 3.14 2.96 2.38 0.17 0.16 China Huainan 1,228 1,289 1,353 1,420 1,515 1,664 0.97 0.97 0.97 1.30 1.87 0.39 0.24 China Hunjiang 722 746 772 798 843 925 0.67 0.67 0.67 1.09 1.87 0.23 0.14 China Huzhou 1,028 1,083 1,141 1,203 1,288 1,417 1.05 1.05 1.05 1.37 1.90 0.33 0.21 China Jiamusi 660 750 853 969 1,099 1,230 2.56 2.56 2.56 2.52 2.25 0.21 0.18 China Jiaozuo 605 670 742 822 915 1,019 2.05 2.05 2.05 2.14 2.16 0.19 0.15 China Jiaxing 741 806 877 954 1,047 1,160 1.68 1.68 1.68 1.86 2.06 0.23 0.17 China Jilin 1,320 1,596 1,928 2,255 2,606 2,918 3.79 3.79 3.13 2.89 2.26 0.42 0.43 China Jinan, Shand<strong>on</strong>g 2,404 2,512 2,625 2,743 2,914 3,184 0.88 0.88 0.88 1.21 1.78 0.76 0.46 China Jining, Shand<strong>on</strong>g 871 954 1,044 1,143 1,260 1,397 1.81 1.81 1.81 1.95 2.07 0.28 0.20 China Jinxi, Lia<strong>on</strong>ing 1,350 1,605 1,908 2,268 2,658 2,988 3.46 3.46 3.46 3.17 2.34 0.43 0.44 China Jinzhou 736 795 858 925 1,010 1,118 1.52 1.53 1.52 1.74 2.03 0.23 0.16 China Jixi, Heil<strong>on</strong>gjiang 835 871 908 947 1,006 1,106 0.83 0.83 0.83 1.21 1.89 0.26 0.16 China Kaifeng 693 741 793 848 918 1,015 1.34 1.34 1.34 1.60 2.00 0.22 0.15 China Kaohsiung 1,380 1,424 1,469 1,515 1,595 1,744 0.62 0.62 0.62 1.03 1.79 0.44 0.25 China Kunming 1,612 2,045 2,594 2,837 3,095 3,406 4.75 4.76 1.79 1.74 1.92 0.51 0.50 China Langfang 591 648 711 780 861 957 1.84 1.85 1.84 1.99 2.12 0.19 0.14 China Lanzhou 1,618 1,830 2,071 2,411 2,785 3,117 2.47 2.47 3.04 2.89 2.25 0.51 0.46 China Leshan 1,070 1,094 1,118 1,143 1,197 1,308 0.44 0.44 0.44 0.91 1.78 0.34 0.19 China Lianyungang 537 605 682 768 865 968 2.38 2.38 2.38 2.39 2.23 0.17 0.14 China Liaoyang 640 681 725 773 835 922 1.26 1.26 1.26 1.54 2.00 0.20 0.14 China Linfen 583 647 719 799 891 994 2.11 2.11 2.11 2.18 2.17 0.18 0.15 China Linyi, Shand<strong>on</strong>g 1,740 1,834 1,932 2,035 2,177 2,387 1.04 1.04 1.04 1.35 1.84 0.55 0.35 China Liuan 1,380 1,464 1,553 1,647 1,771 1,948 1.18 1.18 1.18 1.46 1.90 0.44 0.28 China Liupanshui 827 905 989 1,149 1,329 1,494 1.79 1.79 3.00 2.91 2.34 0.26 0.22 China Liuzhou 751 950 1,201 1,409 1,630 1,829 4.69 4.69 3.19 2.91 2.31 0.24 0.27 China Luoyang 1,202 1,334 1,481 1,644 1,830 2,031 2.09 2.09 2.09 2.14 2.09 0.38 0.30 China Luzhou 412 706 1,208 1,447 1,673 1,878 10.75 10.76 3.60 2.90 2.31 0.13 0.27 China Mianyang, Sichuan 876 1,004 1,152 1,322 1,509 1,689 2.75 2.75 2.75 2.65 2.25 0.28 0.25 China Mudanjiang 751 868 1,004 1,171 1,355 1,522 2.91 2.91 3.07 2.91 2.34 0.24 0.22 China Nanchang 1,262 1,516 1,822 2,188 2,585 2,913 3.67 3.67 3.67 3.33 2.39 0.40 0.43 China Nanch<strong>on</strong>g 619 1,029 1,712 2,046 2,364 2,649 10.18 10.18 3.56 2.89 2.27 0.20 0.39 China Nanjing, Jiangsu 2,611 3,013 3,477 3,621 3,813 4,151 2.87 2.87 0.81 1.04 1.70 0.83 0.61 China Nanning 1,159 1,421 1,743 2,040 2,357 2,641 4.08 4.08 3.15 2.89 2.27 0.37 0.39 China Nant<strong>on</strong>g 470 597 759 891 1,031 1,160 4.79 4.80 3.20 2.92 2.37 0.15 0.17 China Nanyang, Henan 375 753 1,512 1,830 2,115 2,371 13.95 13.96 3.81 2.90 2.29 0.12 0.35 China Neijiang 1,289 1,338 1,388 1,441 1,525 1,670 0.74 0.74 0.74 1.13 1.82 0.41 0.24 China Ningbo 1,142 1,331 1,551 1,810 2,092 2,345 3.06 3.06 3.08 2.90 2.29 0.36 0.34 China Pingdingshan, Henan 997 949 904 861 854 921 -0.98 -0.98 -0.98 -0.16 1.51 0.32 0.13 China Pingxiang, Jiangxi 569 664 775 905 1,047 1,178 3.09 3.09 3.08 2.92 2.36 0.18 0.17 China Qingdao 2,102 2,381 2,698 2,817 2,977 3,248 2.50 2.50 0.86 1.11 1.74 0.66 0.47 China Qinhuangdao 519 646 805 944 1,092 1,229 4.40 4.40 3.17 2.92 2.36 0.16 0.18 China Qiqihaer 1,401 1,466 1,535 1,607 1,712 1,877 0.92 0.92 0.92 1.26 1.84 0.44 0.27 China Quanzhou 480 745 1,158 1,377 1,592 1,788 8.81 8.81 3.47 2.91 2.32 0.15 0.26 China Shanghai 8,205 10,423 13,243 14,503 15,790 17,225 4.79 4.79 1.82 1.70 1.74 2.59 2.51 China Shangqiu 245 574 1,349 1,650 1,908 2,140 17.08 17.08 4.02 2.90 2.30 0.08 0.31 China Shantou 885 1,054 1,255 1,495 1,756 1,980 3.50 3.50 3.50 3.22 2.40 0.28 0.29 China Shenyang 4,655 4,627 4,599 4,720 4,952 5,377 -0.12 -0.12 0.52 0.96 1.65 1.47 0.78 China Shenzhen 875 2,304 6,069 7,233 8,114 8,958 19.36 19.37 3.51 2.30 1.98 0.28 1.31 China Shijiazhuang 1,372 1,634 1,947 2,275 2,628 2,943 3.50 3.50 3.11 2.89 2.26 0.43 0.43 China Suining, Sichuan 1,260 1,305 1,352 1,401 1,481 1,621 0.71 0.71 0.71 1.11 1.82 0.40 0.24 China Suzhou, Anhui 258 623 1,509 1,849 2,137 2,396 17.67 17.68 4.06 2.90 2.28 0.08 0.35 China Suzhou, Jiangsu 875 1,077 1,326 1,553 1,795 2,014 4.16 4.16 3.16 2.90 2.30 0.28 0.29
Data tables 387 TABLE C.1 c<strong>on</strong>tinued Estimates Annual rate Share in urban and Projecti<strong>on</strong>s of change populati<strong>on</strong> (000) (%) (%) 1990 1995 2000 2005 2010 2015 1990– 1995– 2000– 2005– 2010– 1990 2015 1995 2000 2005 2010 2015 China Taian, Shand<strong>on</strong>g 1,413 1,472 1,534 1,598 1,696 1,858 0.82 0.82 0.82 1.19 1.82 0.45 0.27 China Taichung 754 838 930 1,033 1,151 1,281 2.10 2.10 2.10 2.17 2.14 0.24 0.19 China Taipei 2,711 2,676 2,640 2,606 2,651 2,863 -0.26 -0.26 -0.26 0.35 1.54 0.86 0.42 China Taiyuan, Shanxi 2,225 2,274 2,521 2,794 3,104 3,434 0.44 2.06 2.06 2.10 2.02 0.70 0.50 China Tangshan, Hebei 1,485 1,590 1,703 1,825 1,977 2,176 1.38 1.38 1.37 1.60 1.93 0.47 0.32 China Tianjin 5,804 6,246 6,722 7,040 7,468 8,119 1.47 1.47 0.92 1.18 1.67 1.83 1.18 China Tianmen 1,484 1,545 1,609 1,676 1,777 1,946 0.81 0.81 0.81 1.18 1.82 0.47 0.28 China Tianshui 1,040 1,090 1,143 1,199 1,279 1,405 0.95 0.95 0.95 1.29 1.88 0.33 0.21 China T<strong>on</strong>gliao 674 729 790 855 935 1,036 1.59 1.59 1.59 1.79 2.06 0.21 0.15 China Ürümqi (Wulumqi) 1,161 1,417 1,730 2,025 2,340 2,621 3.99 3.99 3.15 2.89 2.27 0.37 0.38 China Weifang 1,152 1,257 1,372 1,498 1,646 1,822 1.75 1.75 1.75 1.89 2.03 0.36 0.27 China Wenzhou 604 1,056 1,845 2,212 2,556 2,862 11.16 11.16 3.63 2.89 2.26 0.19 0.42 China Wuhan 3,833 5,053 6,662 7,093 7,542 8,204 5.53 5.53 1.26 1.23 1.68 1.21 1.20 China Wuhu, Anhui 553 619 692 774 868 969 2.24 2.24 2.24 2.29 2.20 0.18 0.14 China Wuxi, Jiangsu 1,009 1,192 1,410 1,646 1,903 2,135 3.35 3.35 3.10 2.90 2.30 0.32 0.31 China Xiamen 639 1,124 1,977 2,371 2,739 3,066 11.28 11.29 3.64 2.89 2.26 0.20 0.45 China Xi’an, Shaanxi 2,873 3,271 3,725 3,926 4,178 4,559 2.60 2.60 1.05 1.24 1.75 0.91 0.67 China Xiangfan, Hubei 492 649 855 1,006 1,164 1,310 5.53 5.53 3.25 2.92 2.35 0.16 0.19 China Xiantao 1,361 1,415 1,470 1,528 1,618 1,772 0.77 0.77 0.77 1.15 1.82 0.43 0.26 China Xianyang, Shaanxi 737 835 946 1,072 1,212 1,355 2.50 2.50 2.50 2.47 2.22 0.23 0.20 China Xingyi, Guizhou 593 651 715 785 868 965 1.86 1.87 1.86 2.00 2.12 0.19 0.14 China Xining 698 770 849 987 1,142 1,284 1.96 1.96 3.01 2.92 2.35 0.22 0.19 China Xinxiang 613 687 770 863 968 1,081 2.27 2.28 2.27 2.31 2.20 0.19 0.16 China Xinyang 273 571 1,195 1,450 1,677 1,882 14.76 14.76 3.87 2.90 2.31 0.09 0.28 China Xinyu 608 685 772 870 981 1,096 2.39 2.39 2.39 2.39 2.22 0.19 0.16 China Xuanzhou 769 795 823 851 900 987 0.68 0.68 0.68 1.10 1.86 0.24 0.14 China Xuzhou 944 1,247 1,648 1,960 2,284 2,566 5.58 5.58 3.46 3.06 2.32 0.30 0.37 China Yancheng, Jiangsu 497 580 677 789 914 1,029 3.09 3.09 3.08 2.93 2.38 0.16 0.15 China Yantai 838 1,188 1,684 1,991 2,301 2,578 6.98 6.98 3.35 2.89 2.28 0.27 0.38 China Yibin 685 743 805 872 954 1,058 1.61 1.61 1.61 1.80 2.06 0.22 0.15 China Yichang 492 589 704 823 953 1,073 3.58 3.58 3.12 2.92 2.38 0.16 0.16 China Yichun, Heil<strong>on</strong>gjiang 882 849 816 785 785 849 -0.78 -0.78 -0.78 -0.00 1.57 0.28 0.12 China Yichun, Jiangxi 836 876 917 961 1,025 1,127 0.93 0.93 0.93 1.29 1.90 0.26 0.16 China Yinchuan 502 632 795 932 1,079 1,214 4.60 4.60 3.19 2.92 2.36 0.16 0.18 China Yingkou 572 630 694 764 847 942 1.93 1.94 1.93 2.06 2.14 0.18 0.14 China Yiyang, Hunan 1,062 1,140 1,223 1,313 1,425 1,572 1.41 1.41 1.41 1.64 1.97 0.34 0.23 China Y<strong>on</strong>gzhou 946 960 976 991 1,032 1,128 0.31 0.31 0.31 0.82 1.77 0.30 0.16 China Yuci 467 555 660 785 921 1,042 3.46 3.46 3.46 3.21 2.46 0.15 0.15 China Yueyang 1,078 995 918 847 821 880 -1.60 -1.61 -1.60 -0.63 1.38 0.34 0.13 China Yulin, Guangxi 667 779 909 1,060 1,227 1,379 3.09 3.09 3.08 2.92 2.35 0.21 0.20 China Zaozhuang 1,793 1,889 1,990 2,096 2,242 2,458 1.04 1.04 1.04 1.34 1.84 0.57 0.36 China Zhangjiakou 720 803 897 1,001 1,120 1,248 2.20 2.20 2.20 2.25 2.17 0.23 0.18 China Zhanjiang 1,049 1,185 1,340 1,514 1,709 1,905 2.45 2.45 2.45 2.42 2.17 0.33 0.28 China Zhaot<strong>on</strong>g 620 670 724 783 855 948 1.56 1.56 1.56 1.77 2.06 0.20 0.14 China Zhengzhou 1,752 2,081 2,472 2,590 2,738 2,989 3.44 3.44 0.93 1.11 1.75 0.55 0.44 China Zhenjiang, Jiangsu 490 581 688 803 930 1,047 3.39 3.39 3.10 2.92 2.38 0.16 0.15 China Zhuhai 331 518 809 963 1,114 1,254 8.94 8.94 3.48 2.92 2.36 0.11 0.18 China Zhuzhou 585 713 868 1,016 1,176 1,322 3.95 3.95 3.14 2.92 2.35 0.19 0.19 China Zibo 2,484 2,640 2,806 2,982 3,209 3,517 1.22 1.22 1.22 1.46 1.84 0.79 0.51 China Zig<strong>on</strong>g 977 1,012 1,049 1,087 1,149 1,260 0.71 0.71 0.71 1.11 1.84 0.31 0.18 China Zunyi 392 516 679 799 924 1,041 5.50 5.50 3.25 2.92 2.38 0.12 0.15 China, H<strong>on</strong>g K<strong>on</strong>g SAR H<strong>on</strong>g K<strong>on</strong>g 1 5,677 6,187 6,637 7,041 7,416 7,764 1.72 1.41 1.18 1.04 0.92 100.00 100.00 Dem. People’s Rep. of Korea Hamhung 678 724 769 804 833 864 1.32 1.21 0.90 0.71 0.73 5.90 5.67 Dem. People’s Rep. of Korea N’ampo 580 806 1,016 1,102 1,142 1,182 6.58 4.63 1.63 0.70 0.69 5.05 7.75 Dem. People’s Rep. of Korea P’y<strong>on</strong>gyang 2,473 2,863 3,194 3,351 3,439 3,531 2.93 2.19 0.96 0.51 0.53 21.51 23.14 Georgia Tbilisi 1,224 1,160 1,100 1,047 1,024 1,021 -1.07 -1.07 -0.99 -0.44 -0.06 40.61 45.39 India Agra 933 1,095 1,293 1,511 1,702 1,892 3.20 3.32 3.12 2.39 2.12 0.43 0.47 India Ahmadabad 3,255 3,790 4,427 5,120 5,716 6,298 3.04 3.11 2.91 2.20 1.94 1.50 1.56 India Aligarh 468 554 653 763 862 963 3.39 3.29 3.11 2.45 2.21 0.22 0.24 India Allahabad 830 928 1,035 1,152 1,277 1,420 2.23 2.17 2.14 2.07 2.12 0.38 0.35 India Amritsar 726 844 990 1,151 1,296 1,444 3.00 3.20 3.02 2.38 2.15 0.34 0.36 India Asansol 727 891 1,065 1,257 1,423 1,584 4.06 3.56 3.32 2.48 2.15 0.34 0.39 India Aurangabad 568 708 868 1,048 1,197 1,336 4.38 4.09 3.78 2.66 2.19 0.26 0.33 India Bangalore 4,036 4,744 5,567 6,462 7,216 7,939 3.23 3.20 2.98 2.21 1.91 1.86 1.97 India Bareilly 604 664 722 787 867 966 1.87 1.67 1.72 1.95 2.16 0.28 0.24 India Bhopal 1,046 1,228 1,426 1,644 1,842 2,045 3.21 3.00 2.84 2.28 2.10 0.48 0.51 India Bhubaneswar 395 504 637 790 912 1,020 4.90 4.69 4.30 2.87 2.25 0.18 0.25 India Chandigarh 564 667 791 928 1,049 1,170 3.36 3.40 3.19 2.46 2.19 0.26 0.29 India Chennai (Madras) 5,338 5,836 6,353 6,916 7,545 8,280 1.78 1.70 1.70 1.74 1.86 2.46 2.05 India Coimbatore 1,088 1,239 1,420 1,618 1,806 2,005 2.60 2.73 2.61 2.20 2.09 0.50 0.50 India Delhi 8,206 10,092 12,441 15,048 16,983 18,604 4.14 4.18 3.80 2.42 1.82 3.78 4.62 India Dhanbad 805 915 1,046 1,189 1,328 1,477 2.56 2.67 2.57 2.21 2.13 0.37 0.37 India Durg-Bhilainagar 670 780 905 1,043 1,172 1,305 3.03 2.98 2.83 2.32 2.16 0.31 0.32 India Faridabad 593 779 1,018 1,298 1,509 1,685 5.47 5.35 4.85 3.02 2.20 0.27 0.42 India Ghaziabad 492 675 928 1,236 1,461 1,634 6.30 6.38 5.73 3.34 2.23 0.23 0.41 India Guwahati (Gauhati) 564 675 797 932 1,052 1,174 3.60 3.32 3.13 2.44 2.18 0.26 0.29 India Gwalior 706 779 855 940 1,039 1,156 1.97 1.88 1.89 2.00 2.14 0.33 0.29 India Hubli-Dharwad 639 705 776 855 946 1,054 1.95 1.93 1.94 2.02 2.16 0.30 0.26
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ENHANCING URBAN SAFETY AND SECURITY
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First published by Earthscan in the
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INTRODUCTION Enhancing Urban Safety
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ACKNOWLEDGEMENTS The preparation of
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x Enhancing Urban Safety and Securi
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LIST OF FIGURES, BOXES AND TABLES F
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4 Understanding Urban Safety and Se
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1 CHAPTER CURRENT THREATS TO URBAN
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Current threats to urban safety and
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Current threats to urban safety and
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Current threats to urban safety and
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Vulnerability, risk and resilience:
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Vulnerability, risk and resilience:
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29 simply ‘give up’ in the face
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Vulnerability, risk and resilience:
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46 Urban crime and violence Box II.
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48 Urban crime and violence it has
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50 Urban crime and violence Formal
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52 Urban crime and violence Contact
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54 Urban crime and violence Per 100
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116 Security of tenure Table 5.1 A
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118 Security of tenure Fully legal
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120 Security of tenure Box 5.4 Secu
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122 Security of tenure Urban tenure
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124 Security of tenure At least 2 m
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126 Security of tenure Market-based
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128 Security of tenure Box 5.11 Urb
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130 Security of tenure Operation Mu
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132 Security of tenure Control of l
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134 Security of tenure Box 5.18 Sec
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136 Security of tenure NOTES 1 Habi
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138 Security of tenure Box 6.1 The
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140 Security of tenure It would be
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142 Security of tenure Box 6.7 Land
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144 Security of tenure Box 6.10 Wha
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146 Security of tenure Box 6.12 Evi
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148 Security of tenure Box 6.15 Con
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150 Security of tenure Box 6.18 Vio
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152 Security of tenure The
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154 Security of tenure Box 6.24 Lan
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156 Security of tenure The state is
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158 Security of tenure Housing righ
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Over the last three decades, natura
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Introduction 165 One of the key tre
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7 CHAPTER DISASTER RISK: CONDITIONS
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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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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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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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8 CHAPTER POLICY RESPONSES TO DISAS
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Policy responses to disaster risk 1
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Policy responses to disaster risk 1
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Policy responses to disaster risk 2
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Policy responses to disaster risk 2
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Policy responses to disaster risk 2
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Policy responses to disaster risk 2
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Policy responses to disaster risk 2
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Policy responses to disaster risk 2
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Policy responses to disaster risk 2
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Policy responses to disaster risk 2
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Policy responses to disaster risk 2
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220 Natural and human-made disaster
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222 Natural and human-made disaster
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224 Natural and human-made disaster
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226 Natural and human-made disaster
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228 Natural and human-made disaster
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230 Natural and human-made disaster
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232 Natural and human-made disaster
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236 Towards safer and more secure c
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238 Towards safer and more secure c
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240 Towards safer and more secure c
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242 Towards safer and more secure c
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244 Towards safer and more secure c
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246 Towards safer and more secure c
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248 Towards safer and more secure c
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250 Towards safer and more secure c
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252 Towards safer and more secure c
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254 Towards safer and more secure c
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256 Towards safer and more secure c
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258 Towards safer and more secure c
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260 Towards safer and more secure c
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11 CHAPTER ENHANCING TENURE SECURIT
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264 Towards safer and more secure c
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266 Towards safer and more secure c
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268 Towards safer and more secure c
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270 Towards safer and more secure c
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272 Towards safer and more secure c
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274 Towards safer and more secure c
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276 Enhancing Urban Safety and Secu
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12 CHAPTER MITIGATING THE IMPACTS O
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280 Towards safer and more secure c
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282 Towards safer and more secure c
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284 Towards safer and more secure c
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286 Towards safer and more secure c
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288 Towards safer and more secure c
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290 Towards safer and more secure c
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292 Towards safer and more secure c
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294 Towards safer and more secure c
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296 Towards safer and more secure c
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298 Towards safer and more secure c
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300 Towards safer and more secure c
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304 Summary of case studies Since i
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306 Summary of case studies • The
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308 Summary of case studies tions w
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310 Summary of case studies environ
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312 Summary of case studies others.
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314 Summary of case studies purpose
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316 Summary of case studies These e
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318 Summary of case studies develop
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320 Summary of case studies tion ex
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322 Summary of case studies Housing
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324 Summary of case studies Prolong
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326 Summary of case studies momentu
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330 Statistical annex Islands, Micr
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332 Statistical annex NOMENCLATURE
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334 Statistical annex Population, u
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- Page 467 and 468: INDEX ACHR (Asian Coalition for Hou
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Index 437 domestic abuse see intima
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Index 439 hazard management 169 haz
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Index 441 Kosovo, security of tenur
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Index 443 participation 38, 296-299
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Index 445 individual 34-35 municipa
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Index 447 gun ownership 78 Homeless