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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 />

Uterus unspecified (C55) (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 23 0.4 0.09 0.05 0.01<br />

*India, Bangalore 39 0.5 0.08 0.05 0.01<br />

India, Chennai (Madras) 47 0.7 0.10 0.08 0.01<br />

*India, Delhi 101 1.0 0.10 0.12 0.02<br />

*India, Karunagappally 3 0.3 0.17 0.03 0.02<br />

India, Mumbai (Bombay) 145 1.0 0.09 0.14 0.01<br />

*India, Nagpur 5 0.3 0.13 0.03 0.02<br />

*India, Poona 28 0.8 0.15 0.10 0.02<br />

*India, Triv<strong>and</strong>rum 4 0.1 0.07 0.01 0.01<br />

Israel: Jews 264 1.9 0.12 0.21 0.01<br />

Israel: Jews born in Israel 36 1.7 0.32 0.16 0.04<br />

Israel: Jews born in Europe or America 166 2.4 0.23 0.26 0.02<br />

Israel: Jews born in Africa or Asia 62 1.5 0.20 0.17 0.02<br />

Israel: Non-Jews 16 1.1 0.28 0.14 0.04<br />

Japan, Hiroshima 23 0.4 0.09 0.03 0.01<br />

*Japan, Miyagi Prefecture 79 0.6 0.07 0.04 0.01<br />

*Japan, Nagasaki Prefecture 67 0.8 0.11 0.08 0.01<br />

*Japan, Osaka Prefecture 473 1.0 0.05 0.10 0.01<br />

*Japan, Saga Prefecture 41 0.6 0.12 0.05 0.01<br />

*Japan, Yamagata Prefecture 57 0.7 0.12 0.07 0.01<br />

*Korea, Busan 55 1.5 0.20 0.18 0.03<br />

*Korea, Daegu 12 0.5 0.14 0.04 0.02<br />

*Korea, Kangwha County 4 1.4 0.75 0.16 0.09<br />

*Korea, Seoul 264 1.1 0.07 0.13 0.01<br />

*Kuwait: Kuwaitis 5 0.7 0.32 0.09 0.04<br />

*Kuwait: Non-Kuwaitis 1 0.6 0.55 0.14 0.14<br />

*Oman: Omani 27 1.2 0.24 0.09 0.02<br />

*Pakistan, South Karachi 2 0.1 0.09 0.00 0.00<br />

*Philippines, Manila 264 3.3 0.22 0.41 0.03<br />

*Philippines, Rizal 191 2.5 0.19 0.28 0.03<br />

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

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

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

*Thail<strong>and</strong>, Bangkok 26 0.3 0.06 0.03 0.01<br />

*Thail<strong>and</strong>, Chiang Mai 1 0.0 0.02 0.00 0.00<br />

*Thail<strong>and</strong>, Khon Kaen 9 0.2 0.07 0.02 0.01<br />

*Thail<strong>and</strong>, Lampang 0 - - - -<br />

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

*Viet Nam, Hanoi 43 0.9 0.14 - -<br />

*Viet Nam, Ho Chi Minh City 0 - - - -<br />

Europe<br />

Austria, Tyrol 10 0.2 0.06 0.01 0.01<br />

Austria, Vorarlberg 5 0.2 0.08 - -<br />

+*Belarus 149 0.4 0.03 0.04 0.00<br />

*Belgium, Fl<strong>and</strong>ers, (excl. Limburg) 107 1.0 0.11 0.12 0.01<br />

*Belgium, Limburg 57 5.1 0.69 0.62 0.09<br />

*Croatia 151 0.6 0.05 0.07 0.01<br />

Czech Republic 257 0.5 0.03 0.06 0.00<br />

Denmark 204 0.8 0.06 0.09 0.01<br />

Estonia 14 0.2 0.05 0.03 0.01<br />

Finl<strong>and</strong> 55 0.2 0.03 0.01 0.00<br />

France, Bas-Rhin 18 0.5 0.12 0.05 0.01<br />

*France, Calvados 7 0.2 0.10 0.03 0.01<br />

France, Cote d’Or 1 0.0 0.01 - -<br />

France, Doubs 20 1.0 0.23 0.11 0.03<br />

France, Haut-Rhin 11 0.4 0.13 0.04 0.02<br />

*France, Herault 2 0.1 0.05 0.01 0.01<br />

France, Isere 7 0.2 0.08 0.02 0.01<br />

*France, Manche 3 0.2 0.14 0.03 0.02<br />

*France, Somme 24 1.3 0.28 0.14 0.03<br />

France, Tarn 6 0.1 0.05 0.01 0.01<br />

Germany, Saarl<strong>and</strong> 35 0.5 0.10 0.05 0.01<br />

Icel<strong>and</strong> 0 - - - -<br />

Irel<strong>and</strong> 74 0.8 0.10 0.09 0.01<br />

Italy, Biella Province 2 0.2 0.19 0.02 0.02<br />

Italy, Ferrara Province 13 0.6 0.19 0.05 0.02<br />

*Italy, Florence 44 0.5 0.09 0.04 0.01<br />

Italy, Genoa Province 67 1.2 0.20 0.10 0.02<br />

Italy, Liguria<br />

Italy, Macerata Province 18 0.8 0.22 0.11 0.03<br />

Italy, Modena Province 4 0.1 0.03 0.01 0.01<br />

Italy, North East 116 1.7 0.18 0.18 0.02<br />

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

619

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