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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 />

Oesophagus (C15) (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 467 8.0 0.39 1.04 0.06 227 4.1 0.28 0.51 0.04<br />

*India, Bangalore 630 8.2 0.34 1.03 0.05 480 7.1 0.33 0.94 0.05<br />

India, Chennai (Madras) 658 8.7 0.34 1.09 0.05 451 6.1 0.29 0.75 0.04<br />

*India, Delhi 713 6.1 0.24 0.78 0.04 428 4.3 0.21 0.51 0.03<br />

*India, Karunagappally 51 6.2 0.88 0.96 0.16 23 2.5 0.52 0.36 0.09<br />

India, Mumbai (Bombay) 1363 8.4 0.24 1.02 0.04 941 6.6 0.22 0.78 0.03<br />

*India, Nagpur 200 11.4 0.82 1.34 0.11 142 8.7 0.75 1.10 0.11<br />

*India, Poona 316 8.2 0.48 0.98 0.07 247 6.5 0.42 0.80 0.06<br />

*India, Triv<strong>and</strong>rum 70 3.1 0.38 0.41 0.06 20 0.8 0.19 0.11 0.03<br />

Israel: Jews 344 2.5 0.14 0.28 0.02 210 1.1 0.08 0.11 0.01<br />

Israel: Jews born in Israel 44 2.7 0.46 0.31 0.07 14 0.7 0.22 0.08 0.03<br />

Israel: Jews born in Europe or America 229 2.8 0.22 0.33 0.03 133 1.0 0.11 0.10 0.01<br />

Israel: Jews born in Africa or Asia 71 1.8 0.22 0.20 0.03 63 1.4 0.19 0.14 0.02<br />

Israel: Non-Jews 8 0.7 0.24 0.09 0.04 2 0.1 0.10 0.03 0.02<br />

Japan, Hiroshima 414 11.7 0.58 1.50 0.09 84 1.7 0.19 0.18 0.03<br />

*Japan, Miyagi Prefecture 1314 14.4 0.40 1.89 0.06 284 2.2 0.14 0.26 0.02<br />

*Japan, Nagasaki Prefecture 614 9.6 0.40 1.22 0.06 116 1.1 0.12 0.12 0.02<br />

*Japan, Osaka Prefecture 3235 10.0 0.18 1.25 0.03 685 1.6 0.06 0.18 0.01<br />

*Japan, Saga Prefecture 307 8.2 0.48 1.04 0.07 49 0.9 0.14 0.11 0.02<br />

*Japan, Yamagata Prefecture 752 12.3 0.46 1.59 0.07 104 1.1 0.13 0.12 0.02<br />

*Korea, Busan 257 10.0 0.67 1.34 0.10 45 1.2 0.18 0.14 0.03<br />

*Korea, Daegu 124 7.3 0.69 0.84 0.09 18 0.8 0.18 0.10 0.03<br />

*Korea, Kangwha County 19 7.4 1.73 0.89 0.25 4 1.1 0.58 0.10 0.07<br />

*Korea, Seoul 1184 7.6 0.23 1.03 0.04 178 0.8 0.06 0.09 0.01<br />

*Kuwait: Kuwaitis 10 1.7 0.53 0.07 0.04 11 2.0 0.61 0.23 0.09<br />

*Kuwait: Non-Kuwaitis 9 3.5 1.66 0.16 0.12 4 1.3 0.72 0.08 0.05<br />

*Oman: Omani 58 3.1 0.41 0.41 0.06 35 1.9 0.34 0.24 0.05<br />

*Pakistan, South Karachi 94 6.5 0.71 0.81 0.10 72 6.9 0.88 0.91 0.13<br />

*Philippines, Manila 150 2.9 0.25 0.36 0.04 83 1.3 0.15 0.17 0.02<br />

*Philippines, Rizal 122 2.4 0.23 0.30 0.04 64 1.0 0.13 0.12 0.02<br />

Singapore: Chinese 357 7.0 0.38 0.85 0.06 103 1.4 0.15 0.16 0.02<br />

Singapore: Indian 20 3.2 0.75 0.34 0.09 7 1.9 0.74 0.34 0.14<br />

Singapore: Malay 9 1.2 0.40 0.13 0.06 6 0.9 0.37 0.05 0.03<br />

*Thail<strong>and</strong>, Bangkok 267 4.4 0.27 0.50 0.04 73 1.0 0.12 0.11 0.02<br />

*Thail<strong>and</strong>, Chiang Mai 71 2.1 0.25 0.26 0.04 37 1.0 0.17 0.12 0.02<br />

*Thail<strong>and</strong>, Khon Kaen 48 1.6 0.23 0.21 0.04 17 0.5 0.12 0.07 0.02<br />

*Thail<strong>and</strong>, Lampang 37 1.9 0.32 0.23 0.05 22 1.1 0.24 0.17 0.04<br />

*Thail<strong>and</strong>, Songkhla 110 6.1 0.58 0.75 0.09 48 2.5 0.36 0.36 0.06<br />

*Viet Nam, Hanoi 118 2.9 0.27 - - 33 0.6 0.11 - -<br />

*Viet Nam, Ho Chi Minh City 237 4.4 0.29 0.53 0.04 53 0.6 0.09 0.06 0.01<br />

Europe<br />

Austria, Tyrol 89 4.3 0.47 0.50 0.06 22 0.6 0.15 0.07 0.02<br />

Austria, Vorarlberg 56 5.5 0.74 0.65 0.10 6 0.4 0.18 0.05 0.03<br />

+*Belarus 1638 5.8 0.15 0.72 0.02 234 0.4 0.03 0.05 0.00<br />

*Belgium, Fl<strong>and</strong>ers, (excl. Limburg) 513 6.3 0.29 0.76 0.04 133 1.2 0.12 0.14 0.02<br />

*Belgium, Limburg 70 6.2 0.75 0.76 0.10 16 1.1 0.30 0.14 0.04<br />

*Croatia 982 6.4 0.21 0.80 0.03 208 0.9 0.07 0.12 0.01<br />

Czech Republic 1684 5.1 0.12 0.58 0.02 301 0.6 0.04 0.06 0.00<br />

Denmark 1170 5.8 0.18 0.74 0.03 476 1.7 0.09 0.21 0.01<br />

Estonia 261 6.0 0.38 0.75 0.05 55 0.6 0.09 0.06 0.01<br />

Finl<strong>and</strong> 567 3.2 0.13 0.37 0.02 452 1.4 0.07 0.15 0.01<br />

France, Bas-Rhin 407 13.6 0.68 1.67 0.09 51 1.1 0.17 0.15 0.03<br />

*France, Calvados 346 17.2 0.95 2.15 0.13 49 1.8 0.29 0.17 0.03<br />

France, Cote d’Or 192 11.4 0.85 1.42 0.11 33 1.2 0.23 0.16 0.04<br />

France, Doubs 148 9.5 0.80 1.25 0.11 22 1.1 0.25 0.15 0.04<br />

France, Haut-Rhin 277 12.6 0.76 1.56 0.10 39 1.2 0.20 0.13 0.03<br />

*France, Herault 203 6.3 0.47 0.76 0.06 67 1.4 0.20 0.16 0.03<br />

France, Isere 263 7.8 0.49 0.97 0.07 61 1.4 0.19 0.17 0.03<br />

*France, Manche 275 18.7 1.18 2.30 0.16 21 1.1 0.30 0.12 0.03<br />

*France, Somme 320 17.9 1.03 2.11 0.13 40 1.8 0.32 0.19 0.04<br />

France, Tarn 81 5.1 0.61 0.60 0.08 17 0.9 0.26 0.11 0.03<br />

Germany, Saarl<strong>and</strong> 308 7.4 0.43 0.90 0.06 75 1.3 0.17 0.15 0.02<br />

Icel<strong>and</strong> 53 5.2 0.74 0.48 0.11 24 2.0 0.44 0.26 0.07<br />

Irel<strong>and</strong> 723 8.0 0.30 0.97 0.04 473 3.8 0.19 0.41 0.03<br />

Italy, Biella Province 37 6.1 1.04 0.78 0.16 6 0.9 0.42 0.12 0.05<br />

Italy, Ferrara Province 68 3.9 0.49 0.51 0.07 20 0.7 0.19 0.07 0.02<br />

*Italy, Florence 128 2.2 0.21 0.24 0.03 73 0.7 0.11 0.07 0.01<br />

Italy, Genoa Province 142 3.9 0.35 0.46 0.05 48 0.7 0.11 0.07 0.02<br />

Italy, Liguria<br />

Italy, Macerata Province 30 2.0 0.38 0.27 0.06 5 0.2 0.11 0.02 0.01<br />

Italy, Modena Province 52 1.8 0.27 0.21 0.04 24 0.5 0.13 0.07 0.02<br />

Italy, North East 513 9.9 0.45 1.21 0.06 120 1.5 0.16 0.18 0.02<br />

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

544

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