Age-standardized and cumulative incidence rates (three-digit ... - IARC
Age-standardized and cumulative incidence rates (three-digit ... - IARC
Age-standardized and cumulative incidence rates (three-digit ... - IARC
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<strong>Age</strong>-<strong>st<strong>and</strong>ardized</strong> (world) <strong>incidence</strong> (per 100,000) <strong>and</strong><br />
<strong>cumulative</strong> (0-74) <strong>incidence</strong> (percent)<br />
<strong>rates</strong> <strong>and</strong> st<strong>and</strong>ard errors<br />
Bone (C40-41) (contd)<br />
MALE<br />
Cases ASR(W) CUM 0-74<br />
FEMALE<br />
Cases ASR(W) CUM 0-74<br />
Asia (contd)<br />
*India, Ahmedabad 96 1.1 0.12 0.10 0.01 42 0.5 0.08 0.05 0.01<br />
*India, Bangalore 82 0.7 0.09 0.07 0.01 72 0.7 0.09 0.07 0.01<br />
India, Chennai (Madras) 76 0.7 0.09 0.06 0.01 56 0.5 0.08 0.04 0.01<br />
*India, Delhi 313 1.5 0.10 0.12 0.01 173 1.2 0.10 0.12 0.01<br />
*India, Karunagappally 12 1.2 0.35 0.12 0.05 1 0.1 0.09 0.01 0.01<br />
India, Mumbai (Bombay) 227 0.8 0.06 0.08 0.01 120 0.6 0.06 0.06 0.01<br />
*India, Nagpur 33 1.3 0.25 0.11 0.03 16 0.6 0.16 0.04 0.01<br />
*India, Poona 58 1.0 0.14 0.09 0.02 53 0.9 0.13 0.08 0.02<br />
*India, Triv<strong>and</strong>rum 17 0.6 0.16 0.06 0.02 14 0.5 0.13 0.03 0.01<br />
Israel: Jews 200 1.7 0.13 0.14 0.01 152 1.2 0.10 0.10 0.01<br />
Israel: Jews born in Israel 105 1.6 0.19 0.13 0.02 73 1.1 0.18 0.09 0.02<br />
Israel: Jews born in Europe or America 68 2.1 0.30 0.17 0.02 57 1.3 0.25 0.11 0.02<br />
Israel: Jews born in Africa or Asia 27 1.3 0.44 0.10 0.03 22 0.6 0.15 0.06 0.02<br />
Israel: Non-Jews 26 1.0 0.22 0.08 0.02 16 0.8 0.21 0.10 0.04<br />
Japan, Hiroshima 24 0.8 0.16 0.07 0.02 12 0.5 0.14 0.03 0.01<br />
*Japan, Miyagi Prefecture 53 0.8 0.12 0.07 0.01 43 0.6 0.11 0.05 0.01<br />
*Japan, Nagasaki Prefecture 27 0.6 0.14 0.05 0.01 23 0.5 0.12 0.04 0.01<br />
*Japan, Osaka Prefecture 135 0.6 0.06 0.05 0.00 104 0.4 0.05 0.03 0.00<br />
*Japan, Saga Prefecture 9 0.3 0.12 0.03 0.01 11 0.4 0.14 0.04 0.01<br />
*Japan, Yamagata Prefecture 13 0.4 0.12 0.03 0.01 10 0.2 0.07 0.02 0.01<br />
*Korea, Busan 47 1.3 0.20 0.12 0.03 31 0.8 0.14 0.08 0.02<br />
*Korea, Daegu 23 1.0 0.22 0.09 0.03 25 1.0 0.20 0.08 0.02<br />
*Korea, Kangwha County 3 1.1 0.65 0.08 0.08 0 - - - -<br />
*Korea, Seoul 237 1.1 0.08 0.10 0.01 188 0.7 0.06 0.07 0.01<br />
*Kuwait: Kuwaitis 9 0.5 0.18 0.03 0.01 7 0.5 0.24 0.02 0.01<br />
*Kuwait: Non-Kuwaitis 13 0.5 0.16 0.03 0.01 6 0.9 0.58 0.16 0.14<br />
*Oman: Omani 30 1.1 0.23 0.12 0.03 20 0.6 0.15 0.06 0.02<br />
*Pakistan, South Karachi 46 1.7 0.27 0.15 0.03 22 1.0 0.25 0.09 0.03<br />
*Philippines, Manila 196 2.4 0.20 0.25 0.03 146 1.5 0.14 0.16 0.02<br />
*Philippines, Rizal 188 2.3 0.20 0.26 0.03 142 1.4 0.14 0.16 0.02<br />
Singapore: Chinese 32 0.5 0.09 0.05 0.01 24 0.4 0.09 0.03 0.01<br />
Singapore: Indian 2 0.4 0.26 0.02 0.02 0 - - - -<br />
Singapore: Malay 5 0.5 0.23 0.03 0.02 5 0.4 0.20 0.03 0.02<br />
*Thail<strong>and</strong>, Bangkok 54 0.6 0.09 0.06 0.01 40 0.4 0.07 0.03 0.01<br />
*Thail<strong>and</strong>, Chiang Mai 30 0.8 0.15 0.07 0.02 15 0.4 0.10 0.04 0.01<br />
*Thail<strong>and</strong>, Khon Kaen 48 1.3 0.20 0.16 0.03 49 1.3 0.19 0.17 0.03<br />
*Thail<strong>and</strong>, Lampang 5 0.3 0.12 0.03 0.01 12 0.6 0.16 0.06 0.02<br />
*Thail<strong>and</strong>, Songkhla 11 0.4 0.13 0.03 0.01 6 0.3 0.11 0.03 0.01<br />
*Viet Nam, Hanoi 95 2.0 0.21 - - 59 1.1 0.15 - -<br />
*Viet Nam, Ho Chi Minh City 92 1.0 0.12 0.09 0.01 70 0.6 0.08 0.05 0.01<br />
Europe<br />
Austria, Tyrol 24 1.5 0.32 0.10 0.02 14 0.9 0.25 0.07 0.02<br />
Austria, Vorarlberg 12 1.5 0.44 0.09 0.03 2 0.2 0.15 0.02 0.02<br />
+*Belarus 393 1.5 0.08 0.15 0.01 320 1.0 0.06 0.09 0.01<br />
*Belgium, Fl<strong>and</strong>ers, (excl. Limburg) 90 1.4 0.16 0.12 0.01 80 1.1 0.15 0.09 0.01<br />
*Belgium, Limburg 7 0.8 0.32 0.07 0.03 11 1.0 0.33 0.09 0.03<br />
*Croatia 259 2.0 0.13 0.21 0.01 195 1.2 0.10 0.11 0.01<br />
Czech Republic 326 1.1 0.06 0.11 0.01 241 0.7 0.05 0.06 0.00<br />
Denmark 141 1.0 0.09 0.08 0.01 111 0.8 0.08 0.06 0.01<br />
Estonia 45 1.2 0.18 0.12 0.02 44 0.9 0.15 0.07 0.01<br />
Finl<strong>and</strong> 124 1.0 0.09 0.08 0.01 101 0.7 0.08 0.05 0.01<br />
France, Bas-Rhin 28 1.1 0.21 0.10 0.02 16 0.6 0.15 0.05 0.01<br />
*France, Calvados 12 0.8 0.22 0.06 0.02 8 0.5 0.19 0.04 0.01<br />
France, Cote d’Or<br />
France, Doubs 21 1.6 0.36 0.13 0.03 17 1.1 0.29 0.09 0.02<br />
France, Haut-Rhin 25 1.3 0.28 0.12 0.03 13 0.6 0.19 0.04 0.01<br />
*France, Herault 20 0.9 0.22 0.08 0.02 20 0.9 0.21 0.07 0.02<br />
France, Isere 44 1.6 0.24 0.13 0.02 20 0.8 0.18 0.05 0.01<br />
*France, Manche 12 1.2 0.37 0.09 0.03 12 1.3 0.39 0.09 0.03<br />
*France, Somme 9 0.6 0.21 0.05 0.02 8 0.5 0.19 0.05 0.02<br />
France, Tarn 10 1.1 0.39 0.10 0.03 8 0.7 0.30 0.05 0.02<br />
Germany, Saarl<strong>and</strong> 34 1.1 0.21 0.09 0.02 26 0.9 0.20 0.06 0.01<br />
Icel<strong>and</strong> 7 1.0 0.39 0.11 0.04 10 1.4 0.46 0.11 0.04<br />
Irel<strong>and</strong> 85 1.1 0.12 0.09 0.01 55 0.7 0.10 0.06 0.01<br />
Italy, Biella Province 1 0.3 0.26 0.02 0.02 2 0.4 0.32 0.03 0.03<br />
Italy, Ferrara Province 24 3.3 0.86 0.24 0.05 6 0.2 0.10 0.01 0.01<br />
*Italy, Florence 46 1.5 0.26 0.13 0.02 38 1.2 0.26 0.08 0.02<br />
Italy, Genoa Province 26 1.0 0.22 0.09 0.02 17 0.7 0.27 0.05 0.02<br />
Italy, Liguria<br />
Italy, Macerata Province 6 0.7 0.31 0.04 0.02 2 0.3 0.32 0.02 0.02<br />
Italy, Modena Province 14 0.9 0.28 0.07 0.02 8 0.7 0.27 0.05 0.02<br />
Italy, North East 29 0.7 0.16 0.05 0.01 25 0.6 0.17 0.05 0.01<br />
+* Important-See notes on population page<br />
586
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