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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 />

Hypopharynx (C12-13) (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 432 7.6 0.38 1.01 0.06 100 1.6 0.16 0.15 0.02<br />

*India, Bangalore 418 5.5 0.28 0.69 0.04 101 1.4 0.14 0.16 0.02<br />

India, Chennai (Madras) 388 5.0 0.26 0.61 0.04 143 1.9 0.16 0.23 0.02<br />

*India, Delhi 318 2.7 0.16 0.36 0.02 52 0.4 0.06 0.04 0.01<br />

*India, Karunagappally 19 2.1 0.48 0.24 0.06 3 0.3 0.18 0.03 0.02<br />

India, Mumbai (Bombay) 989 5.9 0.20 0.76 0.03 272 1.8 0.11 0.21 0.02<br />

*India, Nagpur 105 6.1 0.61 0.71 0.08 13 0.6 0.19 0.06 0.02<br />

*India, Poona 133 3.4 0.31 0.46 0.05 49 1.2 0.18 0.14 0.02<br />

*India, Triv<strong>and</strong>rum 46 2.1 0.31 0.25 0.04 7 0.3 0.11 0.04 0.02<br />

Israel: Jews 27 0.2 0.04 0.03 0.01 11 0.1 0.02 0.01 0.00<br />

Israel: Jews born in Israel 0 - - - - 2 0.1 0.09 0.02 0.01<br />

Israel: Jews born in Europe or America 18 0.3 0.08 0.03 0.01 8 0.1 0.05 0.01 0.00<br />

Israel: Jews born in Africa or Asia 9 0.2 0.08 0.04 0.01 1 0.0 0.02 0.00 0.00<br />

Israel: Non-Jews 1 0.1 0.07 - - 0 - - - -<br />

Japan, Hiroshima 44 1.2 0.19 0.16 0.03 5 0.1 0.04 0.00 0.00<br />

*Japan, Miyagi Prefecture 116 1.3 0.12 0.17 0.02 15 0.1 0.04 0.02 0.00<br />

*Japan, Nagasaki Prefecture 83 1.3 0.15 0.16 0.02 10 0.1 0.04 0.01 0.01<br />

*Japan, Osaka Prefecture 405 1.3 0.06 0.16 0.01 50 0.1 0.02 0.02 0.00<br />

*Japan, Saga Prefecture 49 1.4 0.21 0.18 0.03 3 0.1 0.03 0.01 0.01<br />

*Japan, Yamagata Prefecture 40 0.7 0.11 0.08 0.01 16 0.3 0.07 0.03 0.01<br />

*Korea, Busan 22 0.8 0.19 0.12 0.03 1 0.0 0.03 - -<br />

*Korea, Daegu 15 0.8 0.23 0.08 0.02 2 0.1 0.05 - -<br />

*Korea, Kangwha County 1 0.3 0.33 0.04 0.04 0 - - - -<br />

*Korea, Seoul 171 1.1 0.09 0.15 0.01 11 0.0 0.01 0.01 0.00<br />

*Kuwait: Kuwaitis 2 0.4 0.28 0.05 0.05 4 0.8 0.38 0.02 0.02<br />

*Kuwait: Non-Kuwaitis 11 0.5 0.19 0.05 0.02 2 0.1 0.06 0.01 0.00<br />

*Oman: Omani 6 0.3 0.13 0.03 0.02 1 0.1 0.06 0.02 0.02<br />

*Pakistan, South Karachi 54 3.7 0.53 0.46 0.07 18 1.6 0.41 0.22 0.06<br />

*Philippines, Manila 28 0.6 0.11 0.07 0.02 29 0.4 0.08 0.06 0.01<br />

*Philippines, Rizal 16 0.3 0.09 0.04 0.01 12 0.1 0.05 0.01 0.01<br />

Singapore: Chinese 91 1.8 0.19 0.22 0.03 4 0.0 0.02 - -<br />

Singapore: Indian 7 1.2 0.45 0.08 0.04 3 0.6 0.37 0.02 0.02<br />

Singapore: Malay 2 0.3 0.22 0.03 0.03 0 - - - -<br />

*Thail<strong>and</strong>, Bangkok 88 1.4 0.16 0.18 0.02 9 0.1 0.04 0.01 0.01<br />

*Thail<strong>and</strong>, Chiang Mai 64 1.9 0.24 0.24 0.04 14 0.4 0.10 0.03 0.01<br />

*Thail<strong>and</strong>, Khon Kaen 12 0.4 0.12 0.03 0.01 4 0.1 0.06 0.02 0.01<br />

*Thail<strong>and</strong>, Lampang 18 0.9 0.21 0.09 0.03 5 0.3 0.12 0.04 0.02<br />

*Thail<strong>and</strong>, Songkhla 46 2.6 0.38 0.36 0.06 3 0.2 0.09 0.02 0.01<br />

*Viet Nam, Hanoi 21 0.5 0.12 - - 2 0.0 0.02 - -<br />

*Viet Nam, Ho Chi Minh City 115 2.1 0.20 0.26 0.03 23 0.3 0.06 0.02 0.01<br />

Europe<br />

Austria, Tyrol 27 1.5 0.28 0.18 0.04 4 0.2 0.11 0.02 0.01<br />

Austria, Vorarlberg 20 1.9 0.44 0.24 0.07 3 0.2 0.14 0.04 0.02<br />

+*Belarus 649 2.3 0.09 0.28 0.01 12 0.0 0.01 0.00 0.00<br />

*Belgium, Fl<strong>and</strong>ers, (excl. Limburg) 124 1.7 0.16 0.21 0.02 15 0.2 0.05 0.03 0.01<br />

*Belgium, Limburg 7 0.7 0.25 0.06 0.03 1 0.1 0.11 0.01 0.01<br />

*Croatia 607 4.0 0.16 0.50 0.02 41 0.2 0.04 0.02 0.00<br />

Czech Republic 392 1.2 0.06 0.14 0.01 37 0.1 0.01 0.01 0.00<br />

Denmark 168 0.9 0.07 0.11 0.01 49 0.2 0.04 0.03 0.00<br />

Estonia 102 2.4 0.24 0.31 0.03 7 0.1 0.05 0.02 0.01<br />

Finl<strong>and</strong> 82 0.5 0.05 0.06 0.01 28 0.1 0.02 0.01 0.00<br />

France, Bas-Rhin 380 12.9 0.67 1.51 0.08 22 0.7 0.15 0.08 0.02<br />

*France, Calvados 202 10.5 0.76 1.29 0.10 5 0.3 0.12 0.03 0.01<br />

France, Cote d’Or<br />

France, Doubs 120 7.8 0.72 0.96 0.09 6 0.3 0.14 0.05 0.02<br />

France, Haut-Rhin 176 8.3 0.63 0.98 0.08 5 0.2 0.08 0.02 0.01<br />

*France, Herault 129 4.6 0.42 0.53 0.05 7 0.2 0.09 0.02 0.01<br />

France, Isere 189 5.9 0.43 0.72 0.06 17 0.5 0.12 0.06 0.01<br />

*France, Manche 122 8.8 0.83 1.03 0.10 2 0.2 0.12 0.02 0.01<br />

*France, Somme 173 10.2 0.79 1.23 0.10 7 0.5 0.17 0.04 0.02<br />

France, Tarn 59 4.6 0.64 0.54 0.08 3 0.3 0.16 0.03 0.01<br />

Germany, Saarl<strong>and</strong> 141 3.7 0.32 0.41 0.04 23 0.5 0.12 0.06 0.01<br />

Icel<strong>and</strong> 3 0.4 0.21 0.04 0.03 0 - - - -<br />

Irel<strong>and</strong> 107 1.3 0.12 0.15 0.02 51 0.4 0.07 0.06 0.01<br />

Italy, Biella Province 19 3.7 0.89 0.54 0.13 3 0.6 0.34 0.07 0.04<br />

Italy, Ferrara Province 17 1.0 0.25 0.14 0.04 2 0.1 0.08 0.02 0.01<br />

*Italy, Florence 42 0.9 0.14 0.11 0.02 8 0.2 0.07 0.02 0.01<br />

Italy, Genoa Province 56 1.6 0.22 0.22 0.03 5 0.1 0.06 0.01 0.01<br />

Italy, Liguria<br />

Italy, Macerata Province 2 0.2 0.12 0.02 0.02 1 0.0 0.02 - -<br />

Italy, Modena Province 19 0.7 0.16 0.09 0.02 4 0.1 0.06 0.02 0.01<br />

Italy, North East 196 4.1 0.30 0.51 0.04 20 0.3 0.08 0.04 0.01<br />

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

538

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