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
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
<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 />
Other thoracic organs (C37-38) (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 38 0.6 0.10 0.07 0.02 27 0.5 0.10 0.06 0.01<br />
*India, Bangalore 39 0.4 0.07 0.05 0.01 16 0.2 0.05 0.02 0.01<br />
India, Chennai (Madras) 22 0.2 0.05 0.02 0.01 8 0.1 0.04 0.01 0.01<br />
*India, Delhi 27 0.1 0.03 0.01 0.00 19 0.1 0.03 0.01 0.00<br />
*India, Karunagappally 0 - - - - 0 - - - -<br />
India, Mumbai (Bombay) 90 0.5 0.06 0.06 0.01 55 0.3 0.05 0.03 0.01<br />
*India, Nagpur 4 0.2 0.10 0.01 0.01 4 0.2 0.12 0.03 0.02<br />
*India, Poona 12 0.2 0.07 0.02 0.01 11 0.3 0.09 0.04 0.01<br />
*India, Triv<strong>and</strong>rum 6 0.2 0.09 0.02 0.01 4 0.2 0.09 0.02 0.01<br />
Israel: Jews 116 0.9 0.09 0.10 0.01 72 0.5 0.06 0.05 0.01<br />
Israel: Jews born in Israel 33 0.8 0.17 0.08 0.02 16 0.5 0.15 0.06 0.02<br />
Israel: Jews born in Europe or America 50 0.8 0.15 0.08 0.02 39 0.4 0.07 0.04 0.01<br />
Israel: Jews born in Africa or Asia 33 0.8 0.15 0.11 0.02 17 0.4 0.10 0.04 0.01<br />
Israel: Non-Jews 11 0.5 0.19 0.05 0.02 8 0.5 0.18 0.04 0.02<br />
Japan, Hiroshima 23 0.8 0.17 0.07 0.02 16 0.5 0.16 0.05 0.01<br />
*Japan, Miyagi Prefecture 77 1.0 0.13 0.10 0.01 26 0.3 0.07 0.03 0.01<br />
*Japan, Nagasaki Prefecture 42 0.8 0.14 0.07 0.01 16 0.3 0.10 0.03 0.01<br />
*Japan, Osaka Prefecture 148 0.5 0.05 0.06 0.01 105 0.3 0.04 0.03 0.00<br />
*Japan, Saga Prefecture 31 1.0 0.19 0.10 0.02 6 0.2 0.12 0.02 0.01<br />
*Japan, Yamagata Prefecture 27 0.7 0.16 0.07 0.01 20 0.3 0.09 0.04 0.01<br />
*Korea, Busan 32 1.1 0.24 0.14 0.03 13 0.3 0.09 0.04 0.01<br />
*Korea, Daegu 19 1.2 0.29 0.18 0.05 25 1.0 0.21 0.14 0.03<br />
*Korea, Kangwha County 3 2.1 1.48 0.10 0.07 1 0.2 0.16 - -<br />
*Korea, Seoul 154 0.8 0.07 0.09 0.01 110 0.5 0.05 0.05 0.01<br />
*Kuwait: Kuwaitis 4 0.5 0.27 0.05 0.04 0 - - - -<br />
*Kuwait: Non-Kuwaitis 5 0.1 0.03 0.00 0.00 2 0.1 0.10 0.01 0.01<br />
*Oman: Omani 19 1.0 0.24 0.14 0.04 12 0.6 0.19 0.06 0.02<br />
*Pakistan, South Karachi 6 0.3 0.14 0.03 0.02 0 - - - -<br />
*Philippines, Manila 30 0.4 0.08 0.04 0.01 22 0.2 0.05 0.02 0.01<br />
*Philippines, Rizal 42 0.5 0.10 0.07 0.02 20 0.2 0.06 0.03 0.01<br />
Singapore: Chinese 33 0.6 0.10 0.05 0.01 23 0.3 0.07 0.04 0.01<br />
Singapore: Indian 0 - - - - 2 0.4 0.27 0.02 0.02<br />
Singapore: Malay 7 0.8 0.32 0.10 0.04 1 0.1 0.12 0.01 0.01<br />
*Thail<strong>and</strong>, Bangkok 22 0.2 0.06 0.03 0.01 11 0.1 0.04 0.01 0.00<br />
*Thail<strong>and</strong>, Chiang Mai 10 0.3 0.09 0.03 0.01 2 0.1 0.04 0.01 0.01<br />
*Thail<strong>and</strong>, Khon Kaen 15 0.4 0.10 0.04 0.01 9 0.2 0.08 0.02 0.01<br />
*Thail<strong>and</strong>, Lampang 1 0.1 0.06 0.01 0.01 1 0.1 0.05 0.01 0.01<br />
*Thail<strong>and</strong>, Songkhla 5 0.2 0.09 0.01 0.00 3 0.1 0.08 0.01 0.01<br />
*Viet Nam, Hanoi 73 1.7 0.20 - - 42 0.8 0.13 - -<br />
*Viet Nam, Ho Chi Minh City 79 1.2 0.15 0.14 0.02 38 0.4 0.07 0.05 0.01<br />
Europe<br />
Austria, Tyrol 4 0.2 0.09 0.02 0.01 9 0.4 0.15 0.03 0.01<br />
Austria, Vorarlberg 5 0.5 0.21 0.08 0.04 1 0.1 0.11 0.01 0.01<br />
+*Belarus 205 0.7 0.05 0.08 0.01 130 0.4 0.03 0.04 0.00<br />
*Belgium, Fl<strong>and</strong>ers, (excl. Limburg) 73 0.9 0.12 0.10 0.01 52 0.6 0.09 0.06 0.01<br />
*Belgium, Limburg 2 0.2 0.13 0.01 0.01 3 0.5 0.28 0.03 0.02<br />
*Croatia 106 0.7 0.07 0.08 0.01 71 0.4 0.06 0.04 0.01<br />
Czech Republic 313 1.0 0.05 0.11 0.01 253 0.6 0.04 0.06 0.00<br />
Denmark 105 0.6 0.06 0.06 0.01 76 0.3 0.04 0.04 0.01<br />
Estonia 17 0.4 0.10 0.06 0.02 16 0.2 0.07 0.02 0.01<br />
Finl<strong>and</strong> 69 0.4 0.05 0.04 0.01 40 0.2 0.03 0.02 0.00<br />
France, Bas-Rhin 12 0.4 0.11 0.03 0.01 13 0.4 0.11 0.03 0.01<br />
*France, Calvados 25 1.2 0.25 0.11 0.03 10 0.4 0.14 0.04 0.02<br />
France, Cote d’Or<br />
France, Doubs 19 1.2 0.28 0.16 0.04 12 0.6 0.18 0.08 0.03<br />
France, Haut-Rhin 12 0.5 0.16 0.04 0.02 9 0.3 0.09 0.03 0.01<br />
*France, Herault 19 0.7 0.16 0.08 0.02 6 0.2 0.08 0.01 0.01<br />
France, Isere 24 0.7 0.15 0.06 0.02 20 0.6 0.13 0.07 0.02<br />
*France, Manche 13 1.0 0.28 0.12 0.03 3 0.2 0.13 0.03 0.01<br />
*France, Somme 10 0.5 0.17 0.07 0.03 4 0.1 0.06 0.02 0.01<br />
France, Tarn 15 1.1 0.33 0.11 0.03 5 0.4 0.21 0.04 0.02<br />
Germany, Saarl<strong>and</strong> 19 0.4 0.10 0.05 0.01 6 0.1 0.03 0.01 0.00<br />
Icel<strong>and</strong> 2 0.3 0.19 0.02 0.01 2 0.3 0.20 0.04 0.03<br />
Irel<strong>and</strong> 40 0.5 0.08 0.06 0.01 16 0.2 0.04 0.02 0.01<br />
Italy, Biella Province 3 1.0 0.71 0.09 0.05 4 0.6 0.34 0.08 0.04<br />
Italy, Ferrara Province 13 0.8 0.23 0.09 0.03 5 0.2 0.08 0.02 0.01<br />
*Italy, Florence 39 0.8 0.17 0.08 0.02 29 0.6 0.16 0.06 0.01<br />
Italy, Genoa Province 47 1.2 0.19 0.10 0.02 24 0.4 0.09 0.04 0.01<br />
Italy, Liguria<br />
Italy, Macerata Province 7 0.4 0.16 0.06 0.03 8 0.4 0.16 0.05 0.02<br />
Italy, Modena Province 21 0.8 0.18 0.12 0.03 19 0.5 0.14 0.07 0.02<br />
Italy, North East 28 0.6 0.11 0.07 0.02 29 0.5 0.11 0.05 0.01<br />
+* Important-See notes on population page<br />
583
Change language