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 />
Melanoma of skin (C43) (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 12 0.2 0.07 0.03 0.01 4 0.1 0.03 0.01 0.00<br />
*India, Bangalore 28 0.3 0.06 0.04 0.01 20 0.3 0.06 0.03 0.01<br />
India, Chennai (Madras) 30 0.4 0.07 0.04 0.01 22 0.3 0.06 0.03 0.01<br />
*India, Delhi 52 0.4 0.06 0.04 0.01 40 0.4 0.06 0.05 0.01<br />
*India, Karunagappally 5 0.6 0.28 0.07 0.03 1 0.1 0.08 - -<br />
India, Mumbai (Bombay) 55 0.3 0.04 0.03 0.01 37 0.2 0.04 0.02 0.01<br />
*India, Nagpur 4 0.2 0.11 0.02 0.01 8 0.4 0.16 0.05 0.02<br />
*India, Poona 11 0.2 0.06 0.02 0.01 11 0.3 0.08 0.03 0.01<br />
*India, Triv<strong>and</strong>rum 16 0.7 0.17 0.08 0.03 3 0.1 0.06 0.00 0.00<br />
Israel: Jews 1399 11.7 0.32 1.28 0.04 1508 11.3 0.30 1.17 0.03<br />
Israel: Jews born in Israel 550 17.5 0.94 1.95 0.13 578 14.6 0.77 1.60 0.11<br />
Israel: Jews born in Europe or America 747 13.8 0.59 1.55 0.07 824 13.8 0.58 1.46 0.06<br />
Israel: Jews born in Africa or Asia 102 3.2 0.40 0.35 0.04 106 4.1 0.61 0.37 0.05<br />
Israel: Non-Jews 18 1.0 0.25 0.08 0.03 15 0.9 0.25 0.09 0.03<br />
Japan, Hiroshima 13 0.4 0.11 0.04 0.01 20 0.5 0.12 0.05 0.01<br />
*Japan, Miyagi Prefecture 25 0.3 0.06 0.03 0.01 29 0.3 0.06 0.03 0.01<br />
*Japan, Nagasaki Prefecture 26 0.4 0.08 0.04 0.01 24 0.3 0.06 0.03 0.01<br />
*Japan, Osaka Prefecture 108 0.4 0.03 0.03 0.00 86 0.3 0.03 0.03 0.00<br />
*Japan, Saga Prefecture 26 0.8 0.16 0.08 0.02 27 0.6 0.14 0.06 0.01<br />
*Japan, Yamagata Prefecture 18 0.3 0.07 0.03 0.01 30 0.5 0.10 0.05 0.01<br />
*Korea, Busan 14 0.4 0.12 0.05 0.02 12 0.3 0.08 0.02 0.01<br />
*Korea, Daegu 13 0.7 0.20 0.06 0.02 13 0.5 0.15 0.06 0.02<br />
*Korea, Kangwha County 0 - - - - 1 0.6 0.58 0.05 0.05<br />
*Korea, Seoul 95 0.5 0.05 0.05 0.01 104 0.4 0.04 0.05 0.01<br />
*Kuwait: Kuwaitis 1 0.2 0.19 0.02 0.02 1 0.2 0.22 0.04 0.04<br />
*Kuwait: Non-Kuwaitis 2 0.1 0.04 0.00 0.00 4 0.8 0.54 0.03 0.03<br />
*Oman: Omani 12 0.7 0.19 0.08 0.03 9 0.5 0.17 0.07 0.03<br />
*Pakistan, South Karachi 4 0.3 0.15 0.03 0.02 10 0.9 0.30 0.08 0.04<br />
*Philippines, Manila 45 0.8 0.14 0.11 0.02 45 0.6 0.09 0.07 0.02<br />
*Philippines, Rizal 42 0.7 0.12 0.07 0.02 27 0.3 0.07 0.03 0.01<br />
Singapore: Chinese 29 0.5 0.10 0.05 0.01 29 0.4 0.08 0.04 0.01<br />
Singapore: Indian 0 - - - - 0 - - - -<br />
Singapore: Malay 3 0.4 0.22 0.04 0.03 8 1.1 0.39 0.16 0.06<br />
*Thail<strong>and</strong>, Bangkok 23 0.4 0.08 0.04 0.01 23 0.3 0.05 0.02 0.01<br />
*Thail<strong>and</strong>, Chiang Mai 16 0.4 0.11 0.07 0.02 15 0.4 0.11 0.05 0.02<br />
*Thail<strong>and</strong>, Khon Kaen 16 0.5 0.12 0.05 0.02 14 0.4 0.10 0.04 0.01<br />
*Thail<strong>and</strong>, Lampang 13 0.6 0.17 0.07 0.02 10 0.5 0.17 0.05 0.02<br />
*Thail<strong>and</strong>, Songkhla 7 0.4 0.15 0.06 0.03 11 0.5 0.14 0.04 0.02<br />
*Viet Nam, Hanoi 13 0.3 0.08 - - 14 0.3 0.07 - -<br />
*Viet Nam, Ho Chi Minh City 15 0.2 0.07 0.03 0.01 9 0.1 0.04 0.01 0.01<br />
Europe<br />
Austria, Tyrol 224 11.2 0.76 1.17 0.09 260 10.9 0.73 1.11 0.08<br />
Austria, Vorarlberg 118 11.6 1.09 1.15 0.12 117 9.9 0.97 0.94 0.10<br />
+*Belarus 583 2.1 0.09 0.22 0.01 1131 2.9 0.09 0.32 0.01<br />
*Belgium, Fl<strong>and</strong>ers, (excl. Limburg) 293 3.8 0.23 0.43 0.03 476 5.9 0.29 0.59 0.03<br />
*Belgium, Limburg 34 3.2 0.55 0.36 0.07 86 8.0 0.89 0.86 0.10<br />
*Croatia 642 4.3 0.18 0.50 0.02 639 3.7 0.16 0.39 0.02<br />
Czech Republic 2658 8.1 0.16 0.93 0.02 3012 7.9 0.15 0.83 0.02<br />
Denmark 1931 10.5 0.25 1.16 0.03 2498 13.4 0.29 1.33 0.03<br />
Estonia 158 3.7 0.30 0.40 0.04 329 5.4 0.32 0.58 0.04<br />
Finl<strong>and</strong> 1363 8.0 0.22 0.86 0.03 1370 6.7 0.20 0.70 0.02<br />
France, Bas-Rhin 280 9.4 0.57 1.00 0.07 379 11.0 0.60 1.06 0.06<br />
*France, Calvados 119 6.0 0.56 0.63 0.07 168 7.3 0.61 0.71 0.06<br />
France, Cote d’Or<br />
France, Doubs 91 6.0 0.64 0.56 0.07 158 9.9 0.82 0.99 0.09<br />
France, Haut-Rhin 185 8.4 0.63 0.89 0.08 224 9.3 0.67 0.90 0.07<br />
*France, Herault 171 5.7 0.46 0.64 0.05 212 7.0 0.52 0.68 0.05<br />
France, Isere 173 5.2 0.40 0.54 0.05 227 6.4 0.44 0.66 0.05<br />
*France, Manche 103 7.9 0.82 0.80 0.09 156 10.8 0.97 1.04 0.10<br />
*France, Somme 69 3.9 0.50 0.40 0.05 83 4.3 0.51 0.44 0.05<br />
France, Tarn 69 5.6 0.73 0.51 0.07 92 6.0 0.72 0.63 0.08<br />
Germany, Saarl<strong>and</strong> 244 6.3 0.42 0.69 0.05 257 6.1 0.42 0.60 0.04<br />
Icel<strong>and</strong> 53 6.6 0.94 0.68 0.11 84 10.7 1.22 0.95 0.12<br />
Irel<strong>and</strong> 562 6.5 0.28 0.69 0.03 962 10.5 0.36 1.08 0.04<br />
Italy, Biella Province 21 4.2 0.96 0.54 0.13 44 9.6 1.60 0.93 0.15<br />
Italy, Ferrara Province 68 4.9 0.63 0.47 0.06 67 3.7 0.52 0.39 0.06<br />
*Italy, Florence 330 7.5 0.44 0.79 0.05 421 9.0 0.49 0.85 0.05<br />
Italy, Genoa Province 199 6.7 0.51 0.69 0.05 211 6.1 0.49 0.61 0.05<br />
Italy, Liguria<br />
Italy, Macerata Province 92 7.3 0.82 0.82 0.10 117 9.4 0.99 0.92 0.10<br />
Italy, Modena Province 167 6.9 0.56 0.75 0.06 175 7.2 0.59 0.71 0.06<br />
Italy, North East 441 9.2 0.46 0.99 0.05 520 9.9 0.49 1.00 0.05<br />
+* Important-See notes on population page<br />
589
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