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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 male genital organs (C63) (contd)<br />

MALE<br />

Cases ASR(W) CUM 0-74<br />

Asia (contd)<br />

*India, Ahmedabad 2 0.0 0.03 0.00 0.00<br />

*India, Bangalore 20 0.2 0.05 0.03 0.01<br />

India, Chennai (Madras) 10 0.1 0.05 0.02 0.01<br />

*India, Delhi 8 0.1 0.02 0.01 0.00<br />

*India, Karunagappally 0 - - - -<br />

India, Mumbai (Bombay) 21 0.1 0.03 0.02 0.00<br />

*India, Nagpur 2 0.1 0.09 0.02 0.01<br />

*India, Poona 2 0.0 0.03 0.00 0.00<br />

*India, Triv<strong>and</strong>rum 0 - - - -<br />

Israel: Jews 10 0.1 0.03 0.01 0.00<br />

Israel: Jews born in Israel 3 0.1 0.07 0.01 0.01<br />

Israel: Jews born in Europe or America 6 0.1 0.03 0.01 0.00<br />

Israel: Jews born in Africa or Asia 1 0.0 0.02 0.01 0.01<br />

Israel: Non-Jews 0 - - - -<br />

Japan, Hiroshima 9 0.2 0.08 0.02 0.01<br />

*Japan, Miyagi Prefecture 15 0.2 0.05 0.02 0.01<br />

*Japan, Nagasaki Prefecture 21 0.3 0.06 0.03 0.01<br />

*Japan, Osaka Prefecture 37 0.1 0.02 0.02 0.00<br />

*Japan, Saga Prefecture 3 0.1 0.05 0.01 0.01<br />

*Japan, Yamagata Prefecture 2 0.0 0.02 0.01 0.01<br />

*Korea, Busan 4 0.2 0.09 0.02 0.01<br />

*Korea, Daegu 6 0.4 0.18 0.04 0.02<br />

*Korea, Kangwha County 0 - - - -<br />

*Korea, Seoul 25 0.2 0.04 0.02 0.01<br />

*Kuwait: Kuwaitis 3 0.4 0.26 0.05 0.04<br />

*Kuwait: Non-Kuwaitis 1 0.5 0.47 0.12 0.12<br />

*Oman: Omani 0 - - - -<br />

*Pakistan, South Karachi 0 - - - -<br />

*Philippines, Manila 5 0.1 0.04 0.01 0.01<br />

*Philippines, Rizal 8 0.2 0.06 0.03 0.01<br />

Singapore: Chinese 18 0.3 0.08 0.04 0.01<br />

Singapore: Indian 0 - - - -<br />

Singapore: Malay 1 0.1 0.12 - -<br />

*Thail<strong>and</strong>, Bangkok 6 0.1 0.04 0.01 0.01<br />

*Thail<strong>and</strong>, Chiang Mai 2 0.1 0.04 0.00 0.00<br />

*Thail<strong>and</strong>, Khon Kaen 3 0.1 0.05 0.00 0.00<br />

*Thail<strong>and</strong>, Lampang 2 0.1 0.07 0.01 0.01<br />

*Thail<strong>and</strong>, Songkhla 2 0.1 0.07 0.00 0.00<br />

*Viet Nam, Hanoi 3 0.1 0.04 - -<br />

*Viet Nam, Ho Chi Minh City 2 0.0 0.03 0.01 0.01<br />

Europe<br />

Austria, Tyrol 3 0.1 0.08 0.01 0.01<br />

Austria, Vorarlberg 2 0.2 0.14 0.02 0.02<br />

+*Belarus 10 0.0 0.01 0.01 0.00<br />

*Belgium, Fl<strong>and</strong>ers, (excl. Limburg) 10 0.1 0.05 0.01 0.00<br />

*Belgium, Limburg 3 0.3 0.15 0.02 0.02<br />

*Croatia 28 0.2 0.04 0.02 0.00<br />

Czech Republic 54 0.2 0.02 0.02 0.00<br />

Denmark 28 0.2 0.03 0.02 0.00<br />

Estonia 6 0.1 0.06 0.01 0.01<br />

Finl<strong>and</strong> 19 0.1 0.03 0.01 0.00<br />

France, Bas-Rhin 1 0.0 0.03 0.00 0.00<br />

*France, Calvados 1 0.1 0.07 0.01 0.01<br />

France, Cote d’Or<br />

France, Doubs 3 0.2 0.10 0.02 0.02<br />

France, Haut-Rhin 3 0.1 0.08 0.00 0.00<br />

*France, Herault 4 0.1 0.05 0.01 0.01<br />

France, Isere 8 0.2 0.09 0.04 0.01<br />

*France, Manche 5 0.4 0.19 0.05 0.02<br />

*France, Somme 3 0.2 0.10 0.02 0.01<br />

France, Tarn 0 - - - -<br />

Germany, Saarl<strong>and</strong> 12 0.3 0.09 0.04 0.01<br />

Icel<strong>and</strong> 3 0.3 0.17 0.05 0.04<br />

Irel<strong>and</strong> 9 0.1 0.03 0.01 0.00<br />

Italy, Biella Province 3 0.6 0.37 0.06 0.04<br />

Italy, Ferrara Province 4 0.2 0.12 0.02 0.01<br />

*Italy, Florence 13 0.4 0.15 0.04 0.01<br />

Italy, Genoa Province 8 0.2 0.12 0.02 0.01<br />

Italy, Liguria<br />

Italy, Macerata Province 1 0.0 0.05 - -<br />

Italy, Modena Province 8 0.3 0.11 0.03 0.01<br />

Italy, North East 17 0.3 0.07 0.03 0.01<br />

FEMALE<br />

Cases ASR(W) CUM 0-74<br />

+* Important-See notes on population page<br />

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