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 />
Pancreas (C25) (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 67 1.1 0.14 0.14 0.02 38 0.8 0.13 0.11 0.02<br />
*India, Bangalore 92 1.2 0.13 0.14 0.02 48 0.7 0.10 0.09 0.02<br />
India, Chennai (Madras) 148 1.9 0.16 0.21 0.02 61 0.8 0.11 0.11 0.02<br />
*India, Delhi 270 2.3 0.15 0.29 0.02 170 1.7 0.13 0.21 0.02<br />
*India, Karunagappally 20 2.4 0.54 0.28 0.06 10 1.1 0.36 0.15 0.05<br />
India, Mumbai (Bombay) 418 2.5 0.13 0.33 0.02 269 1.9 0.12 0.23 0.02<br />
*India, Nagpur 21 1.0 0.24 0.12 0.03 13 0.8 0.23 0.09 0.03<br />
*India, Poona 102 2.6 0.27 0.35 0.04 56 1.6 0.21 0.20 0.03<br />
*India, Triv<strong>and</strong>rum 40 1.7 0.27 0.22 0.04 22 0.9 0.19 0.10 0.02<br />
Israel: Jews 997 7.2 0.24 0.87 0.04 938 5.0 0.18 0.57 0.03<br />
Israel: Jews born in Israel 108 6.6 0.72 0.70 0.09 81 4.5 0.56 0.50 0.08<br />
Israel: Jews born in Europe or America 653 8.2 0.37 1.01 0.05 670 5.4 0.25 0.64 0.04<br />
Israel: Jews born in Africa or Asia 236 5.9 0.39 0.72 0.06 187 3.8 0.29 0.45 0.04<br />
Israel: Non-Jews 59 5.0 0.67 0.63 0.11 31 2.3 0.41 0.28 0.07<br />
Japan, Hiroshima 316 8.8 0.50 1.05 0.07 242 4.9 0.33 0.56 0.05<br />
*Japan, Miyagi Prefecture 944 10.2 0.34 1.17 0.05 729 5.5 0.22 0.61 0.03<br />
*Japan, Nagasaki Prefecture 607 8.8 0.37 1.05 0.05 539 4.9 0.23 0.56 0.03<br />
*Japan, Osaka Prefecture 2990 9.4 0.17 1.09 0.03 2416 5.5 0.12 0.61 0.02<br />
*Japan, Saga Prefecture 362 9.0 0.49 1.02 0.07 353 5.3 0.33 0.57 0.05<br />
*Japan, Yamagata Prefecture 605 9.5 0.40 1.15 0.06 519 5.4 0.27 0.60 0.04<br />
*Korea, Busan 205 7.9 0.61 1.00 0.09 170 4.5 0.35 0.55 0.05<br />
*Korea, Daegu 116 6.8 0.68 0.79 0.10 84 3.5 0.38 0.45 0.06<br />
*Korea, Kangwha County 18 7.2 1.73 0.87 0.25 16 4.7 1.20 0.71 0.20<br />
*Korea, Seoul 1242 7.4 0.23 0.95 0.04 1075 4.7 0.15 0.59 0.02<br />
*Kuwait: Kuwaitis 26 4.7 0.98 0.73 0.18 20 3.6 0.81 0.39 0.12<br />
*Kuwait: Non-Kuwaitis 22 3.8 1.43 0.58 0.24 9 2.0 0.95 0.32 0.20<br />
*Oman: Omani 38 2.0 0.33 0.25 0.05 16 0.9 0.24 0.11 0.03<br />
*Pakistan, South Karachi 13 0.9 0.27 0.13 0.04 10 0.8 0.27 0.10 0.04<br />
*Philippines, Manila 205 3.7 0.28 0.45 0.04 240 3.7 0.25 0.43 0.04<br />
*Philippines, Rizal 204 3.7 0.28 0.39 0.04 183 2.9 0.22 0.37 0.04<br />
Singapore: Chinese 268 5.2 0.32 0.63 0.05 213 3.3 0.23 0.38 0.03<br />
Singapore: Indian 16 2.3 0.59 0.31 0.08 10 3.2 1.08 0.36 0.14<br />
Singapore: Malay 23 3.0 0.65 0.27 0.07 18 2.3 0.56 0.30 0.09<br />
*Thail<strong>and</strong>, Bangkok 114 1.8 0.17 0.19 0.02 96 1.2 0.12 0.13 0.02<br />
*Thail<strong>and</strong>, Chiang Mai 61 1.7 0.22 0.20 0.03 71 2.0 0.24 0.27 0.04<br />
*Thail<strong>and</strong>, Khon Kaen 31 1.0 0.18 0.13 0.03 21 0.6 0.13 0.08 0.02<br />
*Thail<strong>and</strong>, Lampang 43 2.2 0.35 0.29 0.05 29 1.3 0.25 0.17 0.04<br />
*Thail<strong>and</strong>, Songkhla 15 0.8 0.20 0.06 0.02 16 0.8 0.20 0.09 0.03<br />
*Viet Nam, Hanoi 59 1.4 0.18 - - 34 0.7 0.12 - -<br />
*Viet Nam, Ho Chi Minh City 136 2.5 0.22 0.28 0.03 108 1.4 0.14 0.19 0.02<br />
Europe<br />
Austria, Tyrol 164 7.5 0.60 0.85 0.09 178 5.3 0.44 0.58 0.06<br />
Austria, Vorarlberg 96 9.0 0.93 1.07 0.14 91 5.2 0.62 0.53 0.08<br />
+*Belarus 2299 8.1 0.17 1.03 0.02 1848 3.7 0.09 0.46 0.01<br />
*Belgium, Fl<strong>and</strong>ers, (excl. Limburg) 417 4.7 0.24 0.58 0.03 470 4.0 0.20 0.47 0.03<br />
*Belgium, Limburg 24 2.1 0.43 0.28 0.06 33 2.5 0.45 0.34 0.07<br />
*Croatia 1319 8.6 0.24 1.06 0.04 1108 4.7 0.15 0.58 0.02<br />
Czech Republic 3860 11.3 0.18 1.40 0.03 3699 7.0 0.12 0.83 0.02<br />
Denmark 1525 7.2 0.19 0.89 0.03 1666 5.8 0.16 0.70 0.02<br />
Estonia 499 11.4 0.51 1.42 0.08 439 5.3 0.27 0.66 0.04<br />
Finl<strong>and</strong> 1604 8.8 0.22 1.03 0.03 1914 6.3 0.16 0.70 0.02<br />
France, Bas-Rhin 212 6.9 0.48 0.89 0.07 157 3.2 0.29 0.38 0.04<br />
*France, Calvados 124 5.8 0.54 0.71 0.07 117 3.3 0.35 0.39 0.05<br />
France, Cote d’Or 114 5.9 0.58 0.76 0.09 90 3.1 0.38 0.39 0.06<br />
France, Doubs 99 6.0 0.62 0.67 0.08 73 2.7 0.35 0.28 0.05<br />
France, Haut-Rhin 170 7.5 0.58 0.93 0.08 143 4.5 0.41 0.57 0.06<br />
*France, Herault 156 4.8 0.40 0.61 0.05 100 2.2 0.25 0.27 0.03<br />
France, Isere 232 6.6 0.44 0.84 0.06 221 4.2 0.32 0.47 0.04<br />
*France, Manche 62 4.1 0.54 0.53 0.08 45 2.2 0.40 0.24 0.05<br />
*France, Somme 100 5.2 0.54 0.65 0.07 66 2.4 0.34 0.28 0.05<br />
France, Tarn 82 4.9 0.59 0.62 0.08 68 2.6 0.38 0.28 0.05<br />
Germany, Saarl<strong>and</strong> 275 6.3 0.39 0.77 0.05 378 5.1 0.30 0.58 0.04<br />
Icel<strong>and</strong> 37 4.0 0.70 0.38 0.09 40 3.6 0.63 0.39 0.09<br />
Irel<strong>and</strong> 641 6.8 0.28 0.79 0.04 661 5.3 0.23 0.61 0.03<br />
Italy, Biella Province 42 8.1 1.31 0.92 0.16 65 7.7 1.11 0.91 0.15<br />
Italy, Ferrara Province 131 7.6 0.70 0.91 0.09 146 5.1 0.50 0.58 0.07<br />
*Italy, Florence 451 7.7 0.38 0.91 0.05 462 5.3 0.29 0.61 0.04<br />
Italy, Genoa Province 315 8.1 0.48 0.92 0.06 393 6.2 0.37 0.71 0.05<br />
Italy, Liguria<br />
Italy, Macerata Province 95 6.0 0.67 0.73 0.09 99 4.9 0.58 0.58 0.08<br />
Italy, Modena Province 238 7.9 0.54 0.98 0.08 237 5.5 0.42 0.63 0.06<br />
Italy, North East 614 10.7 0.45 1.23 0.06 622 6.6 0.31 0.76 0.04<br />
+* Important-See notes on population page<br />
571
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