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 />
Breast (C50) (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 21 0.3 0.08 0.04 0.01 1165 19.1 0.59 2.15 0.08<br />
*India, Bangalore 17 0.2 0.06 0.03 0.01 1638 21.1 0.54 2.40 0.07<br />
India, Chennai (Madras) 22 0.3 0.07 0.04 0.01 1891 23.9 0.56 2.70 0.07<br />
*India, Delhi 88 0.7 0.08 0.09 0.01 3366 28.7 0.52 3.14 0.07<br />
*India, Karunagappally 1 0.1 0.13 0.02 0.02 148 15.0 1.26 1.50 0.14<br />
India, Mumbai (Bombay) 58 0.3 0.05 0.04 0.01 4744 28.9 0.44 3.33 0.06<br />
*India, Nagpur 19 0.9 0.21 0.10 0.03 459 24.2 1.18 2.50 0.14<br />
*India, Poona 23 0.5 0.11 0.06 0.01 1142 26.9 0.83 3.02 0.11<br />
*India, Triv<strong>and</strong>rum 3 0.1 0.07 0.01 0.01 504 19.7 0.89 2.12 0.11<br />
Israel: Jews 180 1.4 0.11 0.16 0.01 12067 87.1 0.83 9.86 0.10<br />
Israel: Jews born in Israel 32 1.5 0.33 0.15 0.04 2744 89.5 2.06 10.07 0.28<br />
Israel: Jews born in Europe or America 112 1.6 0.17 0.19 0.02 6865 98.5 1.41 11.30 0.16<br />
Israel: Jews born in Africa or Asia 36 0.9 0.16 0.10 0.02 2458 65.1 1.43 7.16 0.16<br />
Israel: Non-Jews 7 0.6 0.23 0.07 0.03 440 27.7 1.36 2.95 0.17<br />
Japan, Hiroshima 3 0.1 0.05 0.01 0.01 1420 36.6 0.99 3.90 0.11<br />
*Japan, Miyagi Prefecture 21 0.2 0.05 0.03 0.01 2846 33.1 0.64 3.52 0.07<br />
*Japan, Nagasaki Prefecture 19 0.3 0.07 0.04 0.01 1890 29.8 0.73 3.17 0.08<br />
*Japan, Osaka Prefecture 49 0.2 0.02 0.02 0.00 9308 27.9 0.30 2.96 0.03<br />
*Japan, Saga Prefecture 7 0.2 0.06 0.01 0.01 834 23.6 0.87 2.53 0.09<br />
*Japan, Yamagata Prefecture 11 0.2 0.06 0.02 0.01 1479 28.3 0.80 3.00 0.08<br />
*Korea, Busan 6 0.3 0.11 0.03 0.02 822 18.6 0.66 1.93 0.08<br />
*Korea, Daegu 2 0.2 0.13 0.00 0.00 557 20.0 0.86 2.03 0.10<br />
*Korea, Kangwha County 1 0.6 0.58 0.05 0.05 29 12.7 2.53 1.17 0.23<br />
*Korea, Seoul 42 0.2 0.04 0.02 0.00 5816 20.8 0.28 2.19 0.03<br />
*Kuwait: Kuwaitis 6 0.9 0.37 0.07 0.03 276 32.8 2.10 3.47 0.26<br />
*Kuwait: Non-Kuwaitis 5 1.2 1.03 0.02 0.02 282 34.3 3.02 3.77 0.44<br />
*Oman: Omani 12 0.6 0.19 0.07 0.02 243 12.7 0.84 1.36 0.10<br />
*Pakistan, South Karachi 10 0.6 0.21 0.07 0.03 698 53.1 2.16 5.56 0.27<br />
*Philippines, Manila 46 0.8 0.13 0.10 0.02 4432 54.2 0.86 6.01 0.12<br />
*Philippines, Rizal 26 0.4 0.09 0.04 0.01 3543 43.0 0.78 4.81 0.11<br />
Singapore: Chinese 14 0.2 0.06 0.03 0.01 2950 44.7 0.84 4.80 0.10<br />
Singapore: Indian 2 0.2 0.17 0.01 0.01 167 36.7 3.02 4.32 0.43<br />
Singapore: Malay 2 0.2 0.17 0.02 0.02 347 37.1 2.07 3.85 0.24<br />
*Thail<strong>and</strong>, Bangkok 28 0.4 0.07 0.03 0.01 2298 25.5 0.55 2.78 0.07<br />
*Thail<strong>and</strong>, Chiang Mai 1 0.0 0.03 0.00 0.00 618 16.1 0.66 1.64 0.07<br />
*Thail<strong>and</strong>, Khon Kaen 4 0.2 0.08 0.02 0.01 445 10.8 0.52 1.10 0.06<br />
*Thail<strong>and</strong>, Lampang 12 0.6 0.18 0.07 0.03 376 17.0 0.90 1.75 0.10<br />
*Thail<strong>and</strong>, Songkhla 3 0.1 0.09 - - 253 11.7 0.75 1.23 0.09<br />
*Viet Nam, Hanoi 45 1.0 0.15 - - 1058 21.0 0.66 - -<br />
*Viet Nam, Ho Chi Minh City 14 0.2 0.07 0.03 0.01 1156 13.6 0.41 1.50 0.05<br />
Europe<br />
Austria, Tyrol 10 0.4 0.14 0.03 0.02 1722 68.9 1.78 7.88 0.22<br />
Austria, Vorarlberg 8 0.7 0.26 0.07 0.03 893 71.1 2.53 7.92 0.31<br />
+*Belarus 108 0.4 0.04 0.04 0.00 12383 33.0 0.31 3.67 0.03<br />
*Belgium, Fl<strong>and</strong>ers, (excl. Limburg) 70 0.8 0.10 0.10 0.01 7274 88.1 1.10 9.75 0.13<br />
*Belgium, Limburg 13 1.1 0.30 0.13 0.04 811 71.8 2.60 7.97 0.31<br />
*Croatia 136 0.9 0.08 0.11 0.01 8781 47.3 0.53 5.48 0.06<br />
Czech Republic 172 0.5 0.04 0.06 0.01 22175 52.9 0.37 6.07 0.05<br />
Denmark 110 0.5 0.05 0.07 0.01 17082 81.3 0.67 9.31 0.08<br />
Estonia 22 0.5 0.11 0.07 0.02 2527 41.5 0.87 4.65 0.10<br />
Finl<strong>and</strong> 66 0.4 0.05 0.04 0.01 14974 72.4 0.63 7.99 0.07<br />
France, Bas-Rhin 35 1.1 0.19 0.15 0.03 2994 83.4 1.62 9.20 0.19<br />
*France, Calvados 20 1.0 0.22 0.11 0.03 1878 81.6 2.01 8.89 0.23<br />
France, Cote d’Or 8 0.4 0.14 0.04 0.02 1432 76.5 2.17 8.53 0.26<br />
France, Doubs 9 0.6 0.19 0.09 0.03 1332 74.7 2.17 8.30 0.26<br />
France, Haut-Rhin 18 0.8 0.18 0.08 0.02 2125 83.3 1.92 9.40 0.23<br />
*France, Herault 28 0.8 0.17 0.09 0.02 2747 81.5 1.67 9.10 0.19<br />
France, Isere 27 0.8 0.15 0.09 0.02 3164 84.9 1.59 9.51 0.19<br />
*France, Manche 8 0.5 0.20 0.05 0.02 995 66.5 2.33 7.25 0.26<br />
*France, Somme 19 1.1 0.25 0.13 0.03 1602 82.1 2.18 9.06 0.25<br />
France, Tarn 8 0.4 0.17 0.03 0.02 1028 70.1 2.43 7.77 0.27<br />
Germany, Saarl<strong>and</strong> 29 0.6 0.12 0.08 0.02 3581 71.4 1.32 7.99 0.15<br />
Icel<strong>and</strong> 9 1.1 0.39 0.14 0.06 622 76.1 3.21 8.35 0.39<br />
Irel<strong>and</strong> 54 0.6 0.08 0.08 0.01 6277 69.6 0.92 7.81 0.11<br />
Italy, Biella Province 4 1.6 0.84 0.11 0.06 491 86.1 4.35 9.67 0.49<br />
Italy, Ferrara Province 10 0.5 0.18 0.07 0.03 1442 78.4 2.31 8.88 0.26<br />
*Italy, Florence 41 0.8 0.12 0.09 0.02 4088 72.3 1.25 8.06 0.14<br />
Italy, Genoa Province 48 1.2 0.19 0.13 0.02 3067 76.9 1.59 8.66 0.18<br />
Italy, Liguria<br />
Italy, Macerata Province 10 0.5 0.18 0.06 0.03 862 64.3 2.46 7.08 0.27<br />
Italy, Modena Province 15 0.5 0.14 0.06 0.02 2189 77.3 1.81 8.84 0.21<br />
Italy, North East 39 0.7 0.12 0.09 0.02 4794 79.2 1.28 8.87 0.15<br />
+* Important-See notes on population page<br />
604
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