Age-standardized and cumulative incidence rates (three-digit ... - IARC
Age-standardized and cumulative incidence rates (three-digit ... - IARC
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 />
Larynx (C32) (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 345 6.1 0.34 0.75 0.05 21 0.4 0.08 0.05 0.01<br />
*India, Bangalore 288 3.7 0.23 0.49 0.03 38 0.5 0.09 0.06 0.01<br />
India, Chennai (Madras) 358 4.7 0.25 0.59 0.04 39 0.5 0.09 0.07 0.01<br />
*India, Delhi 1086 9.4 0.30 1.22 0.04 135 1.4 0.12 0.17 0.02<br />
*India, Karunagappally 29 3.5 0.66 0.47 0.10 0 - - - -<br />
India, Mumbai (Bombay) 1138 7.0 0.22 0.90 0.03 182 1.2 0.09 0.15 0.01<br />
*India, Nagpur 173 9.7 0.75 1.23 0.11 16 0.9 0.24 0.13 0.04<br />
*India, Poona 295 7.6 0.46 1.01 0.07 51 1.3 0.19 0.15 0.02<br />
*India, Triv<strong>and</strong>rum 93 4.2 0.43 0.52 0.06 3 0.1 0.06 0.01 0.01<br />
Israel: Jews 619 5.0 0.21 0.64 0.03 83 0.5 0.06 0.06 0.01<br />
Israel: Jews born in Israel 77 3.9 0.52 0.50 0.08 15 0.7 0.20 0.07 0.02<br />
Israel: Jews born in Europe or America 352 5.5 0.34 0.70 0.04 53 0.6 0.12 0.07 0.01<br />
Israel: Jews born in Africa or Asia 190 5.0 0.38 0.64 0.05 15 0.3 0.09 0.04 0.01<br />
Israel: Non-Jews 67 5.4 0.69 0.73 0.12 5 0.3 0.16 0.05 0.03<br />
Japan, Hiroshima 145 4.0 0.34 0.50 0.05 9 0.2 0.07 0.02 0.01<br />
*Japan, Miyagi Prefecture 351 3.8 0.21 0.51 0.03 20 0.2 0.04 0.02 0.01<br />
*Japan, Nagasaki Prefecture 276 4.2 0.26 0.55 0.04 7 0.1 0.03 0.01 0.00<br />
*Japan, Osaka Prefecture 997 3.2 0.10 0.41 0.02 72 0.2 0.02 0.02 0.00<br />
*Japan, Saga Prefecture 117 3.1 0.30 0.41 0.04 11 0.2 0.06 0.01 0.01<br />
*Japan, Yamagata Prefecture 143 2.4 0.21 0.31 0.03 8 0.1 0.04 0.01 0.00<br />
*Korea, Busan 161 5.8 0.49 0.79 0.08 27 0.7 0.14 0.08 0.02<br />
*Korea, Daegu 108 6.1 0.61 0.86 0.10 15 0.6 0.15 0.07 0.02<br />
*Korea, Kangwha County 12 5.2 1.53 0.56 0.18 2 0.5 0.37 0.06 0.06<br />
*Korea, Seoul 842 5.3 0.19 0.68 0.03 105 0.4 0.04 0.05 0.01<br />
*Kuwait: Kuwaitis 20 3.5 0.80 0.52 0.14 2 0.4 0.31 0.09 0.07<br />
*Kuwait: Non-Kuwaitis 29 2.1 0.75 0.38 0.17 3 0.5 0.32 0.06 0.04<br />
*Oman: Omani 30 1.6 0.29 0.19 0.04 5 0.2 0.11 0.03 0.01<br />
*Pakistan, South Karachi 125 8.8 0.83 1.11 0.12 18 1.5 0.38 0.16 0.05<br />
*Philippines, Manila 369 7.0 0.38 0.93 0.06 79 1.2 0.14 0.14 0.02<br />
*Philippines, Rizal 257 4.9 0.33 0.63 0.05 56 0.9 0.13 0.13 0.02<br />
Singapore: Chinese 293 5.8 0.34 0.72 0.05 27 0.4 0.08 0.06 0.01<br />
Singapore: Indian 33 5.0 0.89 0.61 0.12 3 0.9 0.51 0.16 0.10<br />
Singapore: Malay 21 2.8 0.63 0.30 0.08 1 0.1 0.13 0.02 0.02<br />
*Thail<strong>and</strong>, Bangkok 251 4.1 0.26 0.50 0.04 20 0.2 0.06 0.03 0.01<br />
*Thail<strong>and</strong>, Chiang Mai 140 4.1 0.34 0.50 0.05 44 1.2 0.18 0.18 0.03<br />
*Thail<strong>and</strong>, Khon Kaen 38 1.4 0.22 0.17 0.03 1 0.0 0.03 0.01 0.01<br />
*Thail<strong>and</strong>, Lampang 68 3.5 0.43 0.44 0.07 20 1.0 0.23 0.14 0.04<br />
*Thail<strong>and</strong>, Songkhla 58 3.3 0.43 0.43 0.07 6 0.3 0.13 0.03 0.02<br />
*Viet Nam, Hanoi 63 1.5 0.19 - - 9 0.2 0.06 - -<br />
*Viet Nam, Ho Chi Minh City 246 4.6 0.29 0.52 0.04 32 0.4 0.07 0.05 0.01<br />
Europe<br />
Austria, Tyrol 110 5.7 0.55 0.66 0.07 18 0.7 0.19 0.09 0.02<br />
Austria, Vorarlberg 63 6.3 0.79 0.75 0.10 8 0.6 0.22 0.09 0.03<br />
+*Belarus 3043 10.8 0.20 1.34 0.03 77 0.2 0.03 0.02 0.00<br />
*Belgium, Fl<strong>and</strong>ers, (excl. Limburg) 568 7.0 0.30 0.88 0.04 50 0.6 0.09 0.07 0.01<br />
*Belgium, Limburg 73 6.5 0.77 0.86 0.11 8 0.7 0.26 0.10 0.04<br />
*Croatia 1918 12.7 0.29 1.62 0.04 143 0.7 0.06 0.09 0.01<br />
Czech Republic 2414 7.4 0.15 0.89 0.02 192 0.5 0.04 0.06 0.00<br />
Denmark 1071 5.7 0.18 0.75 0.03 224 1.1 0.08 0.14 0.01<br />
Estonia 351 8.1 0.43 1.05 0.06 26 0.4 0.09 0.05 0.01<br />
Finl<strong>and</strong> 527 3.0 0.13 0.38 0.02 55 0.2 0.03 0.03 0.00<br />
France, Bas-Rhin 263 8.7 0.54 1.08 0.07 20 0.5 0.13 0.07 0.02<br />
*France, Calvados 225 11.7 0.80 1.45 0.10 14 0.5 0.15 0.06 0.02<br />
France, Cote d’Or<br />
France, Doubs 181 11.4 0.86 1.44 0.12 13 0.7 0.21 0.10 0.03<br />
France, Haut-Rhin 162 7.4 0.59 0.92 0.08 15 0.6 0.16 0.08 0.02<br />
*France, Herault 302 9.8 0.59 1.28 0.08 21 0.6 0.14 0.06 0.02<br />
France, Isere 277 8.4 0.51 1.01 0.07 20 0.5 0.12 0.07 0.02<br />
*France, Manche 125 9.2 0.86 1.07 0.10 11 0.8 0.26 0.09 0.03<br />
*France, Somme 220 13.0 0.90 1.56 0.11 11 0.6 0.19 0.06 0.02<br />
France, Tarn 80 5.8 0.69 0.69 0.09 12 0.7 0.22 0.09 0.03<br />
Germany, Saarl<strong>and</strong> 272 6.5 0.40 0.83 0.06 34 0.8 0.15 0.09 0.02<br />
Icel<strong>and</strong> 21 2.5 0.58 0.26 0.07 3 0.4 0.23 0.04 0.03<br />
Irel<strong>and</strong> 359 4.1 0.22 0.53 0.03 69 0.7 0.09 0.09 0.01<br />
Italy, Biella Province 62 11.6 1.52 1.64 0.23 8 1.3 0.50 0.15 0.06<br />
Italy, Ferrara Province 174 9.7 0.76 1.30 0.11 16 0.7 0.20 0.08 0.02<br />
*Italy, Florence 583 11.2 0.48 1.44 0.07 57 1.0 0.15 0.12 0.02<br />
Italy, Genoa Province 413 11.4 0.60 1.42 0.08 39 0.9 0.16 0.12 0.02<br />
Italy, Liguria<br />
Italy, Macerata Province 122 9.1 0.87 1.21 0.12 10 0.9 0.30 0.08 0.03<br />
Italy, Modena Province 223 8.2 0.57 1.14 0.08 25 0.8 0.17 0.09 0.02<br />
Italy, North East 676 13.1 0.52 1.68 0.07 70 1.1 0.14 0.13 0.02<br />
+* Important-See notes on population page<br />
577
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