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 />
Trachea, bronchus <strong>and</strong> lung (C33-34) (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 649 11.4 0.47 1.52 0.07 126 2.5 0.23 0.33 0.04<br />
*India, Bangalore 511 6.7 0.30 0.90 0.05 113 1.7 0.16 0.20 0.02<br />
India, Chennai (Madras) 850 11.1 0.39 1.41 0.06 172 2.3 0.18 0.29 0.03<br />
*India, Delhi 1521 13.4 0.36 1.73 0.05 288 2.9 0.18 0.36 0.03<br />
*India, Karunagappally 158 18.6 1.51 2.53 0.23 28 3.0 0.58 0.40 0.09<br />
India, Mumbai (Bombay) 1928 12.1 0.29 1.59 0.05 554 3.8 0.17 0.46 0.03<br />
*India, Nagpur 150 8.4 0.70 1.03 0.10 21 1.3 0.29 0.15 0.04<br />
*India, Poona 299 7.5 0.45 0.99 0.07 118 3.1 0.29 0.40 0.04<br />
*India, Triv<strong>and</strong>rum 197 9.0 0.64 1.22 0.10 33 1.3 0.23 0.15 0.03<br />
Israel: Jews 3706 28.7 0.49 3.65 0.07 1707 10.3 0.27 1.22 0.04<br />
Israel: Jews born in Israel 381 20.2 1.21 2.42 0.17 231 10.9 0.83 1.39 0.13<br />
Israel: Jews born in Europe or America 2195 30.7 0.75 3.93 0.10 1157 11.5 0.42 1.37 0.05<br />
Israel: Jews born in Africa or Asia 1130 28.7 0.86 3.68 0.13 319 7.5 0.49 0.89 0.06<br />
Israel: Non-Jews 422 35.1 1.76 4.38 0.27 64 4.3 0.56 0.44 0.08<br />
Japan, Hiroshima 1454 40.3 1.07 4.84 0.17 555 11.8 0.52 1.41 0.08<br />
*Japan, Miyagi Prefecture 3984 41.9 0.67 5.13 0.10 1420 11.6 0.33 1.32 0.05<br />
*Japan, Nagasaki Prefecture 3127 43.8 0.81 5.28 0.12 1318 12.9 0.40 1.51 0.06<br />
*Japan, Osaka Prefecture 14056 44.6 0.38 5.17 0.06 5740 13.3 0.18 1.50 0.03<br />
*Japan, Saga Prefecture 1660 40.5 1.03 4.88 0.15 647 10.5 0.47 1.16 0.07<br />
*Japan, Yamagata Prefecture 2617 39.8 0.81 4.71 0.12 944 11.3 0.42 1.25 0.05<br />
*Korea, Busan 1270 51.3 1.56 6.84 0.24 471 12.4 0.58 1.48 0.09<br />
*Korea, Daegu 757 46.2 1.76 6.22 0.28 324 13.3 0.75 1.69 0.12<br />
*Korea, Kangwha County 110 44.8 4.43 5.60 0.65 21 6.7 1.56 0.72 0.19<br />
*Korea, Seoul 7419 49.0 0.61 6.27 0.10 2939 12.7 0.24 1.55 0.04<br />
*Kuwait: Kuwaitis 121 21.5 2.00 2.70 0.32 33 5.6 1.00 0.58 0.13<br />
*Kuwait: Non-Kuwaitis 131 23.8 3.33 2.57 0.44 21 8.4 1.96 0.91 0.29<br />
*Oman: Omani 144 7.7 0.65 0.99 0.10 46 2.6 0.40 0.35 0.06<br />
*Pakistan, South Karachi 273 21.0 1.32 2.71 0.20 34 2.9 0.53 0.38 0.08<br />
*Philippines, Manila 3013 57.0 1.10 7.40 0.17 1035 15.5 0.50 1.89 0.08<br />
*Philippines, Rizal 2423 46.4 1.00 6.07 0.16 776 12.1 0.45 1.51 0.07<br />
Singapore: Chinese 2812 55.8 1.07 6.89 0.17 1335 19.9 0.56 2.29 0.08<br />
Singapore: Indian 68 10.0 1.25 1.18 0.17 17 5.4 1.38 0.42 0.15<br />
Singapore: Malay 241 31.5 2.05 4.05 0.31 86 10.7 1.19 1.30 0.18<br />
*Thail<strong>and</strong>, Bangkok 1571 25.7 0.66 3.12 0.10 612 7.8 0.32 0.93 0.05<br />
*Thail<strong>and</strong>, Chiang Mai 1228 35.3 1.01 4.61 0.15 908 26.1 0.87 3.35 0.12<br />
*Thail<strong>and</strong>, Khon Kaen 569 18.5 0.80 2.34 0.12 236 6.6 0.44 0.82 0.06<br />
*Thail<strong>and</strong>, Lampang 1073 56.7 1.75 7.39 0.26 588 29.1 1.21 4.02 0.19<br />
*Thail<strong>and</strong>, Songkhla 272 15.0 0.92 1.95 0.14 96 4.7 0.49 0.62 0.07<br />
*Viet Nam, Hanoi 1437 34.4 0.92 - - 353 7.2 0.39 - -<br />
*Viet Nam, Ho Chi Minh City 1485 26.9 0.71 3.45 0.11 604 7.5 0.31 0.95 0.05<br />
Europe<br />
Austria, Tyrol 1017 49.5 1.58 6.11 0.23 357 12.9 0.75 1.53 0.10<br />
Austria, Vorarlberg 547 54.3 2.34 7.02 0.35 153 11.3 0.98 1.36 0.13<br />
+*Belarus 19886 69.5 0.50 9.26 0.07 2433 4.9 0.10 0.61 0.01<br />
*Belgium, Fl<strong>and</strong>ers, (excl. Limburg) 5103 57.5 0.83 7.29 0.12 942 9.8 0.35 1.15 0.04<br />
*Belgium, Limburg 756 63.8 2.34 8.62 0.36 142 11.7 1.01 1.52 0.14<br />
*Croatia 11402 74.3 0.70 10.05 0.11 2298 10.8 0.24 1.38 0.03<br />
Czech Republic 24430 73.0 0.47 9.45 0.07 5685 12.3 0.17 1.49 0.02<br />
Denmark 10128 49.0 0.51 6.49 0.08 6669 29.7 0.39 3.94 0.06<br />
Estonia 3209 73.0 1.30 9.89 0.20 665 8.7 0.36 1.14 0.05<br />
Finl<strong>and</strong> 8197 44.9 0.50 5.85 0.08 2281 8.8 0.20 1.06 0.03<br />
France, Bas-Rhin 1921 62.7 1.44 8.15 0.21 346 8.8 0.51 1.11 0.07<br />
*France, Calvados 1068 53.0 1.66 6.58 0.22 146 5.7 0.52 0.66 0.06<br />
France, Cote d’Or<br />
France, Doubs 895 55.2 1.87 7.01 0.27 159 7.9 0.67 0.92 0.09<br />
France, Haut-Rhin 1248 56.0 1.60 7.28 0.23 221 8.1 0.58 0.97 0.07<br />
*France, Herault 1470 44.7 1.22 5.60 0.17 263 7.2 0.48 0.86 0.06<br />
France, Isere 1757 51.1 1.24 6.39 0.18 321 7.4 0.45 0.89 0.06<br />
*France, Manche 721 49.6 1.94 6.16 0.26 90 5.4 0.63 0.64 0.08<br />
*France, Somme 1044 55.9 1.79 7.11 0.24 125 5.6 0.55 0.70 0.07<br />
France, Tarn 677 43.4 1.79 5.32 0.24 100 5.5 0.63 0.66 0.08<br />
Germany, Saarl<strong>and</strong> 2797 63.7 1.22 8.23 0.18 729 13.5 0.55 1.68 0.07<br />
Icel<strong>and</strong> 253 29.6 1.93 3.98 0.30 208 22.8 1.69 2.79 0.24<br />
Irel<strong>and</strong> 3903 42.5 0.70 5.53 0.11 2009 17.7 0.43 2.30 0.06<br />
Italy, Biella Province 399 70.5 3.67 9.46 0.55 85 10.0 1.26 1.26 0.18<br />
Italy, Ferrara Province 1273 68.4 2.01 9.14 0.29 284 11.9 0.80 1.56 0.11<br />
*Italy, Florence 3342 57.7 1.05 7.48 0.15 752 10.1 0.42 1.21 0.06<br />
Italy, Genoa Province 2649 66.6 1.37 8.56 0.20 648 11.9 0.55 1.47 0.07<br />
Italy, Liguria<br />
Italy, Macerata Province 732 49.1 1.94 6.65 0.28 106 5.9 0.66 0.71 0.09<br />
Italy, Modena Province 1882 64.0 1.54 8.43 0.23 385 10.7 0.61 1.33 0.08<br />
Italy, North East 3177 56.3 1.03 7.20 0.15 927 11.3 0.43 1.37 0.06<br />
+* Important-See notes on population page<br />
580
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