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 />
Small intestine (C17) (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 9 0.1 0.04 0.01 0.01 2 0.0 0.03 0.01 0.00<br />
*India, Bangalore 13 0.1 0.04 0.02 0.01 7 0.1 0.04 0.01 0.00<br />
India, Chennai (Madras) 17 0.2 0.05 0.01 0.00 10 0.1 0.04 0.01 0.01<br />
*India, Delhi 29 0.2 0.05 0.03 0.01 14 0.1 0.04 0.02 0.01<br />
*India, Karunagappally 2 0.2 0.14 0.02 0.02 0 - - - -<br />
India, Mumbai (Bombay) 61 0.3 0.05 0.04 0.01 27 0.2 0.03 0.02 0.00<br />
*India, Nagpur 1 0.1 0.05 0.00 0.00 0 - - - -<br />
*India, Poona 8 0.2 0.07 0.02 0.01 6 0.2 0.07 0.02 0.01<br />
*India, Triv<strong>and</strong>rum 5 0.2 0.09 0.02 0.01 2 0.1 0.06 0.01 0.01<br />
Israel: Jews 110 0.8 0.08 0.09 0.01 76 0.4 0.06 0.05 0.01<br />
Israel: Jews born in Israel 18 0.6 0.19 0.06 0.02 10 0.4 0.17 0.03 0.01<br />
Israel: Jews born in Europe or America 63 0.9 0.13 0.10 0.02 47 0.4 0.08 0.05 0.01<br />
Israel: Jews born in Africa or Asia 29 0.8 0.17 0.09 0.02 19 0.4 0.11 0.04 0.01<br />
Israel: Non-Jews 12 0.9 0.28 0.11 0.05 7 0.5 0.19 0.06 0.03<br />
Japan, Hiroshima 21 0.6 0.14 0.07 0.02 20 0.5 0.11 0.04 0.01<br />
*Japan, Miyagi Prefecture 51 0.6 0.08 0.08 0.01 42 0.4 0.06 0.03 0.01<br />
*Japan, Nagasaki Prefecture 53 0.8 0.11 0.08 0.01 32 0.3 0.07 0.03 0.01<br />
*Japan, Osaka Prefecture 211 0.7 0.05 0.08 0.01 127 0.3 0.03 0.04 0.00<br />
*Japan, Saga Prefecture 30 0.8 0.15 0.11 0.02 14 0.3 0.07 0.04 0.01<br />
*Japan, Yamagata Prefecture 39 0.7 0.11 0.08 0.02 29 0.4 0.09 0.05 0.01<br />
*Korea, Busan 18 0.6 0.16 0.12 0.03 17 0.5 0.11 0.05 0.02<br />
*Korea, Daegu 20 0.9 0.23 0.11 0.03 18 0.7 0.18 0.09 0.03<br />
*Korea, Kangwha County 3 1.1 0.61 0.18 0.13 2 0.5 0.33 0.06 0.06<br />
*Korea, Seoul 161 0.9 0.08 0.11 0.01 122 0.5 0.05 0.06 0.01<br />
*Kuwait: Kuwaitis 2 0.3 0.22 0.03 0.03 3 0.4 0.26 0.03 0.02<br />
*Kuwait: Non-Kuwaitis 0 - - - - 0 - - - -<br />
*Oman: Omani 7 0.3 0.13 0.03 0.01 2 0.1 0.08 0.01 0.01<br />
*Pakistan, South Karachi 7 0.5 0.19 0.05 0.02 2 0.2 0.15 0.02 0.02<br />
*Philippines, Manila 34 0.5 0.10 0.05 0.01 33 0.5 0.08 0.04 0.01<br />
*Philippines, Rizal 50 0.8 0.13 0.10 0.02 36 0.5 0.09 0.06 0.01<br />
Singapore: Chinese 38 0.7 0.12 0.09 0.02 39 0.6 0.10 0.07 0.01<br />
Singapore: Indian 6 1.1 0.47 0.09 0.04 0 - - - -<br />
Singapore: Malay 2 0.3 0.19 0.03 0.02 2 0.3 0.20 0.05 0.04<br />
*Thail<strong>and</strong>, Bangkok 20 0.3 0.07 0.03 0.01 15 0.2 0.05 0.01 0.00<br />
*Thail<strong>and</strong>, Chiang Mai 13 0.4 0.10 0.05 0.02 8 0.2 0.08 0.03 0.01<br />
*Thail<strong>and</strong>, Khon Kaen 14 0.4 0.12 0.06 0.02 5 0.2 0.07 0.02 0.01<br />
*Thail<strong>and</strong>, Lampang 5 0.3 0.11 0.03 0.01 9 0.4 0.15 0.05 0.02<br />
*Thail<strong>and</strong>, Songkhla 7 0.3 0.12 0.02 0.01 4 0.2 0.09 0.02 0.01<br />
*Viet Nam, Hanoi 3 0.1 0.04 - - 5 0.1 0.04 - -<br />
*Viet Nam, Ho Chi Minh City 11 0.1 0.05 0.01 0.00 13 0.1 0.04 0.02 0.01<br />
Europe<br />
Austria, Tyrol 16 0.8 0.20 0.10 0.03 11 0.3 0.11 0.05 0.02<br />
Austria, Vorarlberg 9 0.9 0.31 0.14 0.05 5 0.5 0.21 0.05 0.02<br />
+*Belarus 89 0.3 0.03 0.04 0.00 102 0.2 0.02 0.03 0.00<br />
*Belgium, Fl<strong>and</strong>ers, (excl. Limburg) 67 0.8 0.10 0.10 0.01 53 0.5 0.08 0.06 0.01<br />
*Belgium, Limburg 13 1.1 0.31 0.15 0.05 9 0.7 0.25 0.08 0.03<br />
*Croatia 94 0.6 0.07 0.08 0.01 69 0.3 0.04 0.04 0.01<br />
Czech Republic 225 0.7 0.04 0.07 0.01 192 0.4 0.03 0.04 0.00<br />
Denmark 129 0.6 0.06 0.07 0.01 133 0.5 0.05 0.06 0.01<br />
Estonia 20 0.5 0.11 0.06 0.02 26 0.4 0.07 0.05 0.01<br />
Finl<strong>and</strong> 155 0.9 0.07 0.11 0.01 171 0.7 0.06 0.08 0.01<br />
France, Bas-Rhin 32 1.0 0.18 0.11 0.02 20 0.4 0.11 0.06 0.02<br />
*France, Calvados 24 1.3 0.27 0.14 0.03 16 0.5 0.13 0.05 0.02<br />
France, Cote d’Or 17 1.0 0.24 0.14 0.04 17 0.8 0.22 0.09 0.03<br />
France, Doubs 23 1.5 0.31 0.20 0.04 16 0.6 0.18 0.08 0.03<br />
France, Haut-Rhin 34 1.5 0.26 0.16 0.03 37 1.3 0.23 0.14 0.03<br />
*France, Herault 22 0.6 0.14 0.08 0.02 25 0.5 0.11 0.05 0.01<br />
France, Isere 29 0.8 0.16 0.09 0.02 25 0.6 0.13 0.06 0.02<br />
*France, Manche 13 0.9 0.25 0.10 0.03 8 0.3 0.12 0.06 0.02<br />
*France, Somme 13 0.7 0.21 0.08 0.03 17 0.8 0.19 0.11 0.03<br />
France, Tarn 10 0.5 0.18 0.04 0.02 3 0.1 0.05 0.01 0.01<br />
Germany, Saarl<strong>and</strong> 24 0.6 0.12 0.08 0.02 29 0.5 0.10 0.05 0.01<br />
Icel<strong>and</strong> 12 1.5 0.44 0.18 0.06 15 1.8 0.48 0.21 0.06<br />
Irel<strong>and</strong> 85 1.0 0.11 0.12 0.01 56 0.5 0.08 0.07 0.01<br />
Italy, Biella Province 4 0.7 0.35 0.10 0.06 7 1.3 0.56 0.15 0.06<br />
Italy, Ferrara Province 20 1.1 0.27 0.14 0.04 15 0.7 0.20 0.09 0.03<br />
*Italy, Florence 47 0.9 0.14 0.09 0.02 33 0.5 0.09 0.06 0.01<br />
Italy, Genoa Province 27 0.8 0.16 0.10 0.02 20 0.4 0.10 0.05 0.01<br />
Italy, Liguria<br />
Italy, Macerata Province 7 0.5 0.20 0.07 0.03 9 0.4 0.16 0.04 0.02<br />
Italy, Modena Province 37 1.4 0.24 0.17 0.03 27 0.8 0.17 0.10 0.02<br />
Italy, North East 58 1.1 0.15 0.13 0.02 64 0.8 0.12 0.09 0.01<br />
+* Important-See notes on population page<br />
550
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