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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 />

670

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