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 />
Other endocrine (C75) (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 4 0.1 0.04 0.01 0.01 1 0.0 0.02 0.00 0.00<br />
*India, Bangalore 2 0.0 0.01 0.00 0.00 4 0.0 0.02 0.00 0.00<br />
India, Chennai (Madras) 4 0.0 0.02 0.00 0.00 1 0.0 0.01 0.00 0.00<br />
*India, Delhi 12 0.1 0.02 0.01 0.00 5 0.0 0.01 0.00 0.00<br />
*India, Karunagappally 1 0.1 0.11 0.01 0.01 1 0.1 0.12 0.01 0.01<br />
India, Mumbai (Bombay) 11 0.0 0.02 0.00 0.00 12 0.1 0.02 0.00 0.00<br />
*India, Nagpur 1 0.0 0.05 0.00 0.00 1 0.1 0.07 0.01 0.01<br />
*India, Poona 3 0.0 0.02 0.00 0.00 0 - - - -<br />
*India, Triv<strong>and</strong>rum 0 - - - - 2 0.1 0.05 0.01 0.00<br />
Israel: Jews 17 0.1 0.03 0.01 0.00 6 0.0 0.02 0.00 0.00<br />
Israel: Jews born in Israel 7 0.1 0.03 0.01 0.00 6 0.2 0.09 0.02 0.01<br />
Israel: Jews born in Europe or America 8 0.1 0.04 0.01 0.00 0 - - - -<br />
Israel: Jews born in Africa or Asia 2 0.1 0.04 0.01 0.00 0 - - - -<br />
Israel: Non-Jews 4 0.2 0.09 0.01 0.01 0 - - - -<br />
Japan, Hiroshima 7 0.3 0.10 0.02 0.01 1 0.0 0.03 0.00 0.00<br />
*Japan, Miyagi Prefecture 12 0.2 0.07 0.01 0.00 4 0.1 0.04 0.00 0.00<br />
*Japan, Nagasaki Prefecture 12 0.3 0.10 0.02 0.01 4 0.1 0.05 0.01 0.00<br />
*Japan, Osaka Prefecture 47 0.2 0.04 0.02 0.00 36 0.1 0.03 0.01 0.00<br />
*Japan, Saga Prefecture 4 0.2 0.11 0.01 0.01 3 0.1 0.09 0.01 0.01<br />
*Japan, Yamagata Prefecture 0 - - - - 3 0.1 0.05 0.01 0.00<br />
*Korea, Busan 8 0.2 0.08 0.01 0.00 4 0.1 0.05 0.01 0.01<br />
*Korea, Daegu 4 0.2 0.09 0.01 0.00 1 0.0 0.04 0.01 0.01<br />
*Korea, Kangwha County 0 - - - - 0 - - - -<br />
*Korea, Seoul 69 0.3 0.05 0.03 0.01 39 0.2 0.03 0.02 0.00<br />
*Kuwait: Kuwaitis 0 - - - - 1 0.2 0.18 0.02 0.02<br />
*Kuwait: Non-Kuwaitis 3 0.1 0.08 0.01 0.00 1 0.1 0.07 0.00 0.00<br />
*Oman: Omani 2 0.1 0.07 0.02 0.02 2 0.1 0.08 0.01 0.01<br />
*Pakistan, South Karachi 0 - - - - 1 0.0 0.03 0.00 0.00<br />
*Philippines, Manila 12 0.1 0.03 0.01 0.00 3 0.0 0.02 0.01 0.00<br />
*Philippines, Rizal 12 0.1 0.03 0.01 0.00 2 0.0 0.01 0.00 0.00<br />
Singapore: Chinese 8 0.2 0.06 0.01 0.01 4 0.1 0.04 0.01 0.00<br />
Singapore: Indian 0 - - - - 0 - - - -<br />
Singapore: Malay 1 0.1 0.10 0.01 0.01 0 - - - -<br />
*Thail<strong>and</strong>, Bangkok 10 0.1 0.04 0.01 0.00 11 0.1 0.03 0.01 0.00<br />
*Thail<strong>and</strong>, Chiang Mai 2 0.1 0.04 0.00 0.00 5 0.1 0.06 0.01 0.01<br />
*Thail<strong>and</strong>, Khon Kaen 10 0.2 0.07 0.01 0.00 7 0.2 0.06 0.01 0.00<br />
*Thail<strong>and</strong>, Lampang 0 - - - - 1 0.1 0.05 0.01 0.01<br />
*Thail<strong>and</strong>, Songkhla 0 - - - - 1 0.0 0.04 0.00 0.00<br />
*Viet Nam, Hanoi 1 0.0 0.02 - - 3 0.1 0.03 - -<br />
*Viet Nam, Ho Chi Minh City 11 0.1 0.03 0.01 0.00 6 0.1 0.03 0.01 0.00<br />
Europe<br />
Austria, Tyrol 3 0.2 0.11 0.01 0.01 2 0.1 0.06 0.01 0.01<br />
Austria, Vorarlberg 1 0.1 0.08 0.01 0.01 2 0.2 0.22 0.01 0.01<br />
+*Belarus 11 0.0 0.01 0.00 0.00 22 0.1 0.02 0.01 0.00<br />
*Belgium, Fl<strong>and</strong>ers, (excl. Limburg) 17 0.2 0.07 0.02 0.01 8 0.1 0.03 0.01 0.00<br />
*Belgium, Limburg 1 0.3 0.27 0.01 0.01 0 - - - -<br />
*Croatia 29 0.2 0.05 0.02 0.01 20 0.1 0.03 0.01 0.00<br />
Czech Republic 34 0.1 0.02 0.01 0.00 33 0.1 0.02 0.01 0.00<br />
Denmark 17 0.2 0.04 0.01 0.00 10 0.1 0.03 0.01 0.00<br />
Estonia 9 0.3 0.09 0.02 0.01 7 0.2 0.08 0.01 0.01<br />
Finl<strong>and</strong> 17 0.1 0.04 0.01 0.00 11 0.1 0.04 0.01 0.00<br />
France, Bas-Rhin 2 0.1 0.05 0.00 0.00 0 - - - -<br />
*France, Calvados 2 0.2 0.11 0.01 0.01 0 - - - -<br />
France, Cote d’Or<br />
France, Doubs 0 - - - - 1 0.1 0.07 0.01 0.01<br />
France, Haut-Rhin 1 0.0 0.04 0.01 0.01 2 0.1 0.05 0.00 0.00<br />
*France, Herault 4 0.1 0.07 0.02 0.01 0 - - - -<br />
France, Isere 3 0.1 0.05 0.01 0.01 5 0.2 0.07 0.02 0.01<br />
*France, Manche 2 0.3 0.18 0.02 0.01 0 - - - -<br />
*France, Somme 2 0.2 0.12 0.01 0.01 0 - - - -<br />
France, Tarn 0 - - - - 2 0.1 0.07 0.01 0.01<br />
Germany, Saarl<strong>and</strong> 4 0.1 0.06 0.01 0.01 1 0.0 0.04 0.00 0.00<br />
Icel<strong>and</strong> 1 0.2 0.16 0.02 0.02 1 0.2 0.17 0.01 0.01<br />
Irel<strong>and</strong> 15 0.2 0.05 0.02 0.01 11 0.1 0.04 0.01 0.00<br />
Italy, Biella Province 0 - - - - 0 - - - -<br />
Italy, Ferrara Province 1 0.0 0.04 - - 3 0.2 0.14 0.02 0.01<br />
*Italy, Florence 6 0.1 0.05 0.02 0.01 4 0.2 0.09 0.01 0.01<br />
Italy, Genoa Province 1 0.1 0.14 0.01 0.01 5 0.2 0.09 0.02 0.01<br />
Italy, Liguria<br />
Italy, Macerata Province 1 0.1 0.07 0.01 0.01 1 0.2 0.17 0.01 0.01<br />
Italy, Modena Province 2 0.1 0.05 0.01 0.01 3 0.1 0.07 0.01 0.01<br />
Italy, North East 9 0.2 0.08 0.01 0.01 8 0.2 0.10 0.01 0.01<br />
+* Important-See notes on population page<br />
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