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 />
Placenta (C58) (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 8 0.1 0.03 0.01 0.00<br />
*India, Bangalore 10 0.1 0.03 0.00 0.00<br />
India, Chennai (Madras) 18 0.1 0.03 0.01 0.00<br />
*India, Delhi 40 0.2 0.03 0.02 0.00<br />
*India, Karunagappally 1 0.1 0.11 0.01 0.01<br />
India, Mumbai (Bombay) 38 0.1 0.02 0.01 0.00<br />
*India, Nagpur 4 0.2 0.09 0.01 0.01<br />
*India, Poona 4 0.0 0.02 0.00 0.00<br />
*India, Triv<strong>and</strong>rum 1 0.0 0.05 0.00 0.00<br />
Israel: Jews 4 0.0 0.02 0.00 0.00<br />
Israel: Jews born in Israel 3 0.1 0.06 0.01 0.01<br />
Israel: Jews born in Europe or America 1 0.1 0.06 0.00 0.00<br />
Israel: Jews born in Africa or Asia 0 - - - -<br />
Israel: Non-Jews 2 0.1 0.05 0.00 0.00<br />
Japan, Hiroshima 1 0.0 0.04 0.00 0.00<br />
*Japan, Miyagi Prefecture 1 0.0 0.02 0.00 0.00<br />
*Japan, Nagasaki Prefecture 3 0.1 0.05 0.01 0.00<br />
*Japan, Osaka Prefecture 8 0.0 0.01 0.00 0.00<br />
*Japan, Saga Prefecture 3 0.1 0.07 0.01 0.01<br />
*Japan, Yamagata Prefecture 5 0.1 0.07 0.01 0.01<br />
*Korea, Busan 11 0.2 0.06 0.02 0.01<br />
*Korea, Daegu 2 0.1 0.05 0.00 0.00<br />
*Korea, Kangwha County 0 - - - -<br />
*Korea, Seoul 118 0.3 0.03 0.03 0.00<br />
*Kuwait: Kuwaitis 1 0.1 0.12 0.01 0.01<br />
*Kuwait: Non-Kuwaitis 5 0.3 0.12 0.02 0.01<br />
*Oman: Omani 25 0.9 0.19 0.07 0.01<br />
*Pakistan, South Karachi 9 0.5 0.20 0.05 0.03<br />
*Philippines, Manila 66 0.5 0.07 0.05 0.01<br />
*Philippines, Rizal 56 0.4 0.05 0.03 0.00<br />
Singapore: Chinese 7 0.1 0.03 0.01 0.00<br />
Singapore: Indian 0 - - - -<br />
Singapore: Malay 1 0.1 0.08 0.01 0.01<br />
*Thail<strong>and</strong>, Bangkok 24 0.2 0.04 0.01 0.00<br />
*Thail<strong>and</strong>, Chiang Mai 6 0.1 0.05 0.01 0.00<br />
*Thail<strong>and</strong>, Khon Kaen 28 0.6 0.11 0.04 0.01<br />
*Thail<strong>and</strong>, Lampang 6 0.3 0.11 0.03 0.01<br />
*Thail<strong>and</strong>, Songkhla 6 0.2 0.10 0.02 0.01<br />
*Viet Nam, Hanoi 133 2.2 0.20 - -<br />
*Viet Nam, Ho Chi Minh City 24 0.2 0.05 0.02 0.00<br />
Europe<br />
Austria, Tyrol 2 0.1 0.08 0.01 0.01<br />
Austria, Vorarlberg 0 - - - -<br />
+*Belarus 29 0.1 0.02 0.01 0.00<br />
*Belgium, Fl<strong>and</strong>ers, (excl. Limburg) 2 0.0 0.03 0.00 0.00<br />
*Belgium, Limburg 0 - - - -<br />
*Croatia 19 0.2 0.04 0.01 0.00<br />
Czech Republic 27 0.1 0.02 0.01 0.00<br />
Denmark 6 0.0 0.02 0.00 0.00<br />
Estonia 4 0.1 0.06 0.01 0.00<br />
Finl<strong>and</strong> 8 0.1 0.02 0.00 0.00<br />
France, Bas-Rhin 1 0.0 0.03 0.00 0.00<br />
*France, Calvados 0 - - - -<br />
France, Cote d’Or 1 0.1 0.08 0.01 0.01<br />
France, Doubs 1 0.1 0.08 0.01 0.01<br />
France, Haut-Rhin 2 0.1 0.08 0.01 0.01<br />
*France, Herault 3 0.1 0.07 0.01 0.01<br />
France, Isere 2 0.1 0.05 0.00 0.00<br />
*France, Manche 1 0.1 0.13 0.01 0.01<br />
*France, Somme 0 - - - -<br />
France, Tarn 0 - - - -<br />
Germany, Saarl<strong>and</strong> 4 0.1 0.06 0.01 0.00<br />
Icel<strong>and</strong> 0 - - - -<br />
Irel<strong>and</strong> 1 0.0 0.01 0.00 0.00<br />
Italy, Biella Province 0 - - - -<br />
Italy, Ferrara Province 0 - - - -<br />
*Italy, Florence 5 0.1 0.06 0.01 0.01<br />
Italy, Genoa Province 2 0.1 0.06 0.01 0.01<br />
Italy, Liguria<br />
Italy, Macerata Province 0 - - - -<br />
Italy, Modena Province 0 - - - -<br />
Italy, North East 6 0.2 0.07 0.01 0.01<br />
+* Important-See notes on population page<br />
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