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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 />

All leukaemias (C91-95) (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 285 3.1 0.19 0.25 0.02 194 2.5 0.19 0.22 0.02<br />

*India, Bangalore 343 3.1 0.18 0.26 0.02 243 2.6 0.18 0.25 0.02<br />

India, Chennai (Madras) 353 3.9 0.21 0.31 0.02 232 2.7 0.19 0.24 0.02<br />

*India, Delhi 840 4.5 0.17 0.39 0.02 493 3.1 0.15 0.28 0.02<br />

*India, Karunagappally 32 3.6 0.66 0.29 0.07 17 1.8 0.44 0.15 0.04<br />

India, Mumbai (Bombay) 1053 4.4 0.15 0.39 0.02 668 3.5 0.14 0.33 0.02<br />

*India, Nagpur 124 5.0 0.48 0.41 0.05 64 2.8 0.37 0.23 0.04<br />

*India, Poona 205 3.7 0.28 0.34 0.04 123 2.3 0.22 0.23 0.03<br />

*India, Triv<strong>and</strong>rum 94 3.7 0.39 0.28 0.04 80 3.0 0.34 0.27 0.04<br />

Israel: Jews 1195 9.3 0.28 0.94 0.03 995 6.3 0.22 0.63 0.03<br />

Israel: Jews born in Israel 329 9.0 0.71 0.89 0.09 208 5.7 0.55 0.60 0.08<br />

Israel: Jews born in Europe or America 612 10.9 0.83 1.07 0.06 560 7.6 0.71 0.73 0.05<br />

Israel: Jews born in Africa or Asia 254 11.1 2.45 0.95 0.12 227 6.4 0.70 0.61 0.06<br />

Israel: Non-Jews 136 7.8 0.75 0.84 0.12 124 6.4 0.62 0.61 0.08<br />

Japan, Hiroshima 194 6.3 0.48 0.63 0.06 142 4.2 0.41 0.36 0.04<br />

*Japan, Miyagi Prefecture 405 5.7 0.32 0.52 0.03 296 3.8 0.27 0.33 0.02<br />

*Japan, Nagasaki Prefecture 518 9.4 0.46 0.96 0.05 419 6.2 0.38 0.59 0.03<br />

*Japan, Osaka Prefecture 1477 6.0 0.17 0.53 0.02 1082 4.1 0.15 0.35 0.01<br />

*Japan, Saga Prefecture 214 6.9 0.53 0.72 0.06 189 5.3 0.45 0.49 0.04<br />

*Japan, Yamagata Prefecture 216 4.6 0.37 0.42 0.03 171 3.8 0.38 0.35 0.03<br />

*Korea, Busan 138 4.0 0.36 0.35 0.04 91 2.3 0.26 0.20 0.02<br />

*Korea, Daegu 99 4.3 0.46 0.37 0.05 102 4.3 0.45 0.33 0.04<br />

*Korea, Kangwha County 11 5.4 1.67 0.49 0.15 14 7.3 2.28 0.57 0.16<br />

*Korea, Seoul 1475 6.6 0.19 0.61 0.02 1221 5.1 0.15 0.45 0.02<br />

*Kuwait: Kuwaitis 57 5.5 0.84 0.57 0.12 52 5.2 0.82 0.56 0.12<br />

*Kuwait: Non-Kuwaitis 105 8.1 1.68 0.48 0.10 45 7.0 1.55 0.71 0.22<br />

*Oman: Omani 147 4.4 0.43 0.44 0.06 94 3.0 0.37 0.30 0.05<br />

*Pakistan, South Karachi 76 3.6 0.47 0.36 0.06 73 4.0 0.53 0.36 0.06<br />

*Philippines, Manila 679 6.9 0.31 0.61 0.04 594 5.6 0.25 0.50 0.03<br />

*Philippines, Rizal 602 5.6 0.27 0.50 0.04 529 4.9 0.24 0.46 0.03<br />

Singapore: Chinese 324 6.2 0.36 0.57 0.04 244 4.2 0.29 0.37 0.03<br />

Singapore: Indian 28 4.8 0.96 0.43 0.10 11 2.6 0.86 0.16 0.06<br />

Singapore: Malay 64 7.1 0.91 0.69 0.11 45 5.2 0.80 0.44 0.08<br />

*Thail<strong>and</strong>, Bangkok 272 3.9 0.25 0.33 0.03 224 2.9 0.21 0.25 0.02<br />

*Thail<strong>and</strong>, Chiang Mai 154 4.5 0.38 0.37 0.04 118 3.4 0.32 0.30 0.03<br />

*Thail<strong>and</strong>, Khon Kaen 158 4.2 0.34 0.34 0.03 153 4.0 0.33 0.31 0.03<br />

*Thail<strong>and</strong>, Lampang 105 5.3 0.55 0.43 0.05 68 3.4 0.43 0.27 0.04<br />

*Thail<strong>and</strong>, Songkhla 73 3.4 0.40 0.28 0.04 71 3.4 0.41 0.29 0.04<br />

*Viet Nam, Hanoi 227 4.5 0.31 174 3.2 0.25<br />

*Viet Nam, Ho Chi Minh City 319 3.9 0.23 0.32 0.03 284 3.1 0.19 0.26 0.02<br />

Europe<br />

Austria, Tyrol 215 10.9 0.77 1.25 0.10 200 7.3 0.62 0.70 0.07<br />

Austria, Vorarlberg 66 6.8 0.87 0.64 0.10 73 5.8 0.80 0.50 0.08<br />

+*Belarus 2487 9.3 0.19 1.06 0.02 2237 5.9 0.14 0.64 0.01<br />

*Belgium, Fl<strong>and</strong>ers, (excl. Limburg) 666 8.9 0.39 0.92 0.04 506 5.9 0.33 0.58 0.03<br />

*Belgium, Limburg 103 9.4 0.96 1.08 0.12 60 4.4 0.64 0.46 0.08<br />

*Croatia 1157 8.6 0.27 0.89 0.03 1004 5.5 0.21 0.58 0.02<br />

Czech Republic 2952 9.5 0.18 0.98 0.02 2557 6.1 0.15 0.58 0.01<br />

Denmark 1786 9.7 0.25 0.97 0.03 1436 6.4 0.21 0.62 0.02<br />

Estonia 352 8.7 0.48 1.04 0.07 375 6.3 0.39 0.62 0.04<br />

Finl<strong>and</strong> 1151 7.5 0.24 0.68 0.02 1036 5.4 0.21 0.46 0.02<br />

France, Bas-Rhin 299 10.4 0.63 1.06 0.07 218 5.8 0.44 0.61 0.05<br />

† *France, Calvados 98 4.7 0.50 0.55 0.07 87 4.1 0.50 0.40 0.05<br />

France, Cote d’Or 172 10.6 0.88 1.09 0.10 154 6.8 0.65 0.67 0.07<br />

France, Doubs 187 12.1 0.93 1.23 0.11 121 6.1 0.64 0.59 0.07<br />

France, Haut-Rhin 266 12.6 0.80 1.36 0.10 226 7.9 0.62 0.79 0.07<br />

*France, Herault 260 9.6 0.67 0.90 0.06 173 5.8 0.53 0.58 0.05<br />

France, Isere 294 9.2 0.57 0.86 0.06 250 6.7 0.49 0.64 0.05<br />

*France, Manche 135 9.9 0.92 0.98 0.10 93 5.5 0.69 0.56 0.07<br />

*France, Somme 145 8.5 0.75 0.86 0.08 118 5.7 0.61 0.59 0.06<br />

France, Tarn 123 8.7 0.93 0.87 0.10 85 5.1 0.70 0.50 0.07<br />

Germany, Saarl<strong>and</strong> 366 10.4 0.63 1.02 0.06 304 6.4 0.49 0.60 0.04<br />

Icel<strong>and</strong> 60 7.4 1.00 0.81 0.13 47 5.3 0.85 0.47 0.09<br />

Irel<strong>and</strong> 780 9.2 0.35 0.95 0.04 557 5.9 0.28 0.58 0.03<br />

Italy, Biella Province 53 14.4 2.75 1.17 0.20 44 8.8 2.17 0.72 0.15<br />

Italy, Ferrara Province 156 10.2 1.22 1.02 0.10 123 7.0 1.09 0.64 0.08<br />

*Italy, Florence 409 9.1 0.59 0.88 0.05 331 6.0 0.54 0.50 0.04<br />

Italy, Genoa Province 330 10.7 0.81 0.98 0.07 254 6.6 0.68 0.58 0.05<br />

Italy, Liguria<br />

Italy, Macerata Province 111 10.0 1.27 0.95 0.11 92 6.8 1.04 0.65 0.09<br />

Italy, Modena Province 242 9.5 0.76 0.98 0.08 166 6.0 0.66 0.60 0.06<br />

Italy, North East 449 9.5 0.55 0.88 0.05 406 6.7 0.50 0.57 0.04<br />

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

685

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