Age-standardized and cumulative incidence rates (three-digit ... - IARC

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Age-standardized (world) incidence (per 100,000) and cumulative (0-74) incidence (percent) rates and standard errors Lip (C00) MALE Cases ASR(W) CUM 0-74 FEMALE Cases ASR(W) CUM 0-74 Africa *Algeria, Algiers 20 0.5 0.11 0.05 0.02 2 0.1 0.04 0.01 0.00 *France, La Reunion 2 0.4 0.25 0.02 0.02 0 - - - - *The Gambia 1 0.2 0.22 - - 2 0.3 0.27 - - *Mali, Bamako 2 0.6 0.41 0.08 0.06 1 0.2 0.21 0.02 0.02 *Uganda, Kyadondo County 0 - - - - 0 - - - - *Zimbabwe, Harare: African 0 - - - - 2 0.3 0.20 0.04 0.03 America, Central and South *Argentina, Bahia Blanca 22 2.2 0.47 0.26 0.06 3 0.3 0.15 0.03 0.02 *Argentina, Concordia 5 1.6 0.73 0.16 0.08 3 0.7 0.44 0.07 0.05 *Brazil, Campinas 30 1.8 0.33 0.21 0.05 13 0.7 0.22 0.11 0.04 *Brazil, Goiania 35 2.6 0.46 0.29 0.06 12 0.8 0.24 0.11 0.04 Colombia, Cali 8 0.3 0.12 0.04 0.02 8 0.2 0.09 0.03 0.02 *Costa Rica 0 - - - - 1 0.0 0.02 0.00 0.00 *Cuba, Villa Clara 30 1.8 0.33 0.18 0.04 1 0.0 0.04 - - *Ecuador, Quito 1 0.0 0.03 - - 0 - - - - *France, Martinique 0 - - - - 0 - - - - *USA, Puerto Rico 11 0.3 0.09 0.05 0.01 5 0.1 0.03 0.00 0.00 *Uruguay, Montevideo 8 0.3 0.10 0.03 0.02 2 0.0 0.02 - - America, North Canada 2220 2.3 0.05 0.25 0.01 496 0.4 0.02 0.04 0.00 Canada, Alberta 275 3.4 0.21 0.39 0.03 40 0.4 0.07 0.05 0.01 Canada, British Columbia 154 1.1 0.09 0.12 0.01 44 0.3 0.05 0.03 0.01 Canada, Manitoba 215 5.4 0.39 0.66 0.06 45 0.7 0.13 0.08 0.02 Canada, New Brunswick 36 1.4 0.24 0.19 0.04 9 0.3 0.11 0.05 0.02 Canada, Newfoundland 173 9.8 0.77 1.22 0.11 30 1.4 0.27 0.14 0.04 Canada, Northwest Territories 3 1.5 0.87 0.27 0.18 1 0.4 0.42 0.05 0.05 Canada, Nova Scotia 66 1.9 0.24 0.18 0.03 8 0.2 0.08 0.02 0.01 Canada, Ontario 736 2.0 0.08 0.22 0.01 213 0.4 0.03 0.05 0.00 Canada, Prince Edward Island 8 1.8 0.68 0.20 0.08 2 0.2 0.18 0.04 0.04 +Canada, Quebec 337 1.4 0.08 0.15 0.01 65 0.2 0.03 0.02 0.00 Canada, Saskatchewan 218 5.5 0.40 0.64 0.06 37 0.7 0.12 0.07 0.02 Canada, Yukon 4 2.0 1.09 0.13 0.09 4 3.1 1.59 0.17 0.17 USA, California, Los Angeles: Non-Hispanic White 177 1.2 0.10 0.13 0.01 74 0.4 0.05 0.05 0.01 USA, California, Los Angeles: Hispanic White 24 0.6 0.14 0.07 0.02 1 0.0 0.02 0.00 0.00 USA, California, Los Angeles: Black 5 0.2 0.08 0.01 0.01 5 0.2 0.07 0.02 0.01 USA, California, Los Angeles: Chinese 1 0.1 0.15 0.01 0.01 1 0.1 0.14 0.02 0.02 USA, California, Los Angeles: Filipino 0 - - - - 0 - - - - USA, California, Los Angeles: Japanese 0 - - - - 0 - - - - USA, California, Los Angeles: Korean 0 - - - - 0 - - - - USA, California, San Francisco: Non-Hispanic White 137 1.7 0.16 0.20 0.02 47 0.4 0.07 0.04 0.01 USA, California, San Francisco: Hispanic White 7 0.6 0.24 0.10 0.04 4 0.4 0.18 0.04 0.02 USA, California, San Francisco: Black 2 0.2 0.12 0.04 0.02 0 - - - - USA, Connecticut: White 31 0.3 0.05 0.03 0.01 8 0.0 0.02 0.00 0.00 USA, Connecticut: Black 0 - - - - 1 0.1 0.15 0.02 0.02 USA, Georgia, Atlanta: White 27 0.7 0.13 0.08 0.02 6 0.1 0.04 0.02 0.01 USA, Georgia, Atlanta: Black 2 0.1 0.09 0.00 0.00 1 0.0 0.03 0.00 0.00 USA, Iowa 376 3.5 0.19 0.42 0.03 64 0.4 0.06 0.04 0.01 USA, Louisiana, Central Region: White 9 1.0 0.36 0.13 0.06 3 0.2 0.09 - - USA, Louisiana, Central Region: Black 0 - - - - 0 - - - - USA, Louisiana, New Orleans: White 20 0.9 0.21 0.10 0.03 1 0.0 0.01 - - USA, Louisiana, New Orleans: Black 1 0.1 0.12 0.01 0.01 1 0.0 0.05 - - USA, Michigan, Detroit: White 94 0.9 0.10 0.10 0.01 26 0.2 0.04 0.02 0.00 USA, Michigan, Detroit: Black 1 0.1 0.05 0.01 0.01 4 0.1 0.06 0.02 0.01 USA, New Jersey: White 156 0.6 0.05 0.07 0.01 62 0.2 0.03 0.02 0.00 USA, New Jersey: Black 2 0.1 0.06 0.01 0.01 3 0.1 0.06 0.01 0.01 USA, New Mexico: Non-Hispanic White 129 4.1 0.38 0.49 0.05 28 0.7 0.15 0.10 0.02 USA, New Mexico: Hispanic White 25 1.7 0.34 0.20 0.05 0 - - - - USA, New Mexico: American Indian 1 0.5 0.54 0.09 0.09 0 - - - - USA, New York State: White 234 0.4 0.03 0.05 0.00 93 0.1 0.01 0.01 0.00 USA, New York State: Black 1 0.0 0.02 0.00 0.00 10 0.1 0.03 0.01 0.00 USA, Utah 165 3.3 0.27 0.37 0.04 34 0.5 0.10 0.06 0.01 USA, Washington, Seattle 149 1.2 0.11 0.14 0.02 40 0.3 0.05 0.03 0.01 USA, SEER: White 1135 1.7 0.05 0.20 0.01 256 0.3 0.02 0.03 0.00 USA, SEER: Black 6 0.1 0.04 0.01 0.01 6 0.1 0.03 0.01 0.00 Asia *China, Beijing 7 0.1 0.04 0.01 0.00 0 - - - - +*China, Changle *China, Cixian *China, Hong Kong 24 0.1 0.03 0.01 0.00 24 0.1 0.03 0.02 0.00 *China, Jiashan 1 0.2 0.19 0.01 0.01 0 - - - - +*China, Qidong County 2 0.1 0.05 0.00 0.00 0 - - - - +*China, Shanghai 31 0.1 0.03 0.01 0.00 18 0.1 0.02 0.01 0.00 *China, Taiwan 88 0.7 0.08 0.07 0.01 14 0.1 0.04 0.02 0.01 *China, Tianjin 23 0.2 0.04 0.03 0.01 7 0.1 0.02 0.01 0.00 +China, Wuhan 3 0.0 0.02 0.00 0.00 1 0.0 0.01 0.00 0.00 +* Important-See notes on population page 516
Age-standardized (world) incidence (per 100,000) and cumulative (0-74) incidence (percent) rates and standard errors Lip (C00) (contd) MALE Cases ASR(W) CUM 0-74 FEMALE Cases ASR(W) CUM 0-74 Asia (contd) *India, Ahmedabad 21 0.3 0.08 0.03 0.01 10 0.2 0.05 0.02 0.01 *India, Bangalore 12 0.2 0.05 0.02 0.01 11 0.1 0.04 0.01 0.00 India, Chennai (Madras) 25 0.3 0.06 0.04 0.01 14 0.2 0.05 0.03 0.01 *India, Delhi 42 0.4 0.06 0.05 0.01 18 0.2 0.05 0.03 0.01 *India, Karunagappally 4 0.5 0.23 0.05 0.03 2 0.2 0.15 0.03 0.02 India, Mumbai (Bombay) 58 0.3 0.04 0.03 0.01 41 0.3 0.04 0.03 0.01 *India, Nagpur 8 0.5 0.16 0.05 0.02 6 0.3 0.15 0.04 0.02 *India, Poona 39 0.9 0.15 0.10 0.02 12 0.3 0.10 0.05 0.01 *India, Trivandrum 11 0.5 0.15 0.05 0.02 9 0.4 0.12 0.05 0.02 Israel: Jews 330 2.6 0.15 0.27 0.02 131 0.8 0.07 0.08 0.01 Israel: Jews born in Israel 88 3.4 0.46 0.38 0.06 22 0.6 0.15 0.06 0.02 Israel: Jews born in Europe or America 185 2.6 0.23 0.28 0.03 88 0.8 0.10 0.09 0.01 Israel: Jews born in Africa or Asia 57 1.8 0.27 0.17 0.03 21 0.5 0.11 0.05 0.01 Israel: Non-Jews 31 2.2 0.41 0.19 0.04 8 0.6 0.22 0.08 0.04 Japan, Hiroshima 1 0.0 0.03 0.01 0.01 1 0.0 0.03 0.00 0.00 *Japan, Miyagi Prefecture 4 0.0 0.02 0.01 0.00 8 0.1 0.02 0.00 0.00 *Japan, Nagasaki Prefecture 7 0.1 0.05 0.01 0.01 11 0.1 0.03 0.01 0.01 *Japan, Osaka Prefecture 9 0.0 0.01 0.00 0.00 21 0.1 0.01 0.01 0.00 *Japan, Saga Prefecture 3 0.1 0.04 0.01 0.01 2 0.0 0.01 - - *Japan, Yamagata Prefecture 4 0.1 0.04 0.01 0.00 3 0.0 0.02 0.01 0.00 *Korea, Busan 6 0.4 0.19 0.03 0.02 2 0.0 0.03 - - *Korea, Daegu 3 0.2 0.15 0.00 0.00 0 - - - - *Korea, Kangwha County 1 0.3 0.28 - - 1 0.2 0.16 - - *Korea, Seoul 14 0.1 0.03 0.01 0.00 12 0.0 0.01 0.00 0.00 *Kuwait: Kuwaitis 1 0.2 0.22 0.05 0.05 0 - - - - *Kuwait: Non-Kuwaitis 5 0.2 0.14 0.03 0.02 2 0.6 0.49 0.01 0.01 *Oman: Omani 7 0.3 0.12 0.02 0.01 2 0.1 0.09 0.02 0.01 *Pakistan, South Karachi 13 0.9 0.25 0.09 0.03 4 0.4 0.19 0.06 0.03 *Philippines, Manila 6 0.1 0.06 0.01 0.01 5 0.1 0.04 0.01 0.01 *Philippines, Rizal 6 0.1 0.05 0.01 0.00 0 - - - - Singapore: Chinese 1 0.0 0.02 - - 1 0.0 0.01 - - Singapore: Indian 0 - - - - 0 - - - - Singapore: Malay 0 - - - - 0 - - - - *Thailand, Bangkok 3 0.0 0.02 0.00 0.00 35 0.5 0.08 0.04 0.01 *Thailand, Chiang Mai 4 0.1 0.05 0.01 0.01 10 0.3 0.08 0.02 0.01 *Thailand, Khon Kaen 10 0.3 0.09 0.04 0.02 85 2.6 0.28 0.37 0.05 *Thailand, Lampang 4 0.2 0.11 0.03 0.02 9 0.4 0.13 0.06 0.02 *Thailand, Songkhla 5 0.3 0.11 0.01 0.01 15 0.6 0.17 0.06 0.03 *Viet Nam, Hanoi 6 0.2 0.06 - - 9 0.2 0.06 - - *Viet Nam, Ho Chi Minh City 2 0.0 0.02 0.00 0.00 45 0.5 0.08 0.07 0.01 Europe Austria, Tyrol 15 0.7 0.19 0.08 0.02 6 0.2 0.09 0.02 0.01 Austria, Vorarlberg 2 0.2 0.15 0.03 0.02 2 0.1 0.09 0.03 0.02 +*Belarus 1418 5.0 0.13 0.63 0.02 442 0.8 0.04 0.08 0.01 *Belgium, Flanders, (excl. Limburg) 64 0.7 0.09 0.08 0.01 17 0.1 0.04 0.02 0.01 *Belgium, Limburg 16 1.4 0.35 0.15 0.04 3 0.2 0.13 0.02 0.02 *Croatia 338 2.2 0.12 0.28 0.02 131 0.5 0.05 0.05 0.01 Czech Republic 371 1.1 0.06 0.13 0.01 143 0.2 0.02 0.02 0.00 Denmark 424 2.0 0.10 0.24 0.01 115 0.4 0.04 0.05 0.01 Estonia 65 1.5 0.19 0.20 0.03 26 0.3 0.06 0.03 0.01 Finland 490 2.7 0.12 0.35 0.02 184 0.6 0.05 0.06 0.01 France, Bas-Rhin 14 0.4 0.12 0.05 0.02 3 0.0 0.02 0.00 0.00 *France, Calvados 31 1.3 0.25 0.14 0.03 8 0.2 0.07 0.02 0.01 France, Cote d’Or France, Doubs 4 0.2 0.11 0.02 0.02 1 0.0 0.04 0.01 0.01 France, Haut-Rhin 8 0.4 0.13 0.05 0.02 1 0.0 0.02 - - *France, Herault 69 1.9 0.24 0.22 0.03 8 0.2 0.07 0.02 0.01 France, Isere 26 0.7 0.14 0.07 0.02 6 0.1 0.03 0.00 0.00 *France, Manche 60 3.9 0.54 0.49 0.07 14 0.5 0.17 0.05 0.02 *France, Somme 28 1.4 0.27 0.19 0.04 3 0.1 0.09 0.02 0.01 France, Tarn 23 1.0 0.23 0.12 0.04 5 0.2 0.10 0.01 0.01 Germany, Saarland 54 1.2 0.16 0.13 0.02 18 0.2 0.06 0.02 0.01 Iceland 15 1.5 0.40 0.11 0.05 3 0.4 0.22 0.03 0.02 Ireland 159 1.7 0.14 0.21 0.02 14 0.1 0.03 0.01 0.00 Italy, Biella Province 2 0.5 0.34 0.05 0.04 2 0.2 0.20 0.02 0.02 Italy, Ferrara Province 36 2.0 0.36 0.27 0.05 7 0.2 0.08 0.01 0.01 *Italy, Florence 73 1.3 0.16 0.16 0.02 12 0.2 0.05 0.02 0.01 Italy, Genoa Province 30 0.7 0.14 0.07 0.02 5 0.1 0.04 0.01 0.01 Italy, Liguria Italy, Macerata Province 4 0.2 0.10 0.04 0.02 1 0.0 0.02 - - Italy, Modena Province 3 0.1 0.05 0.01 0.01 2 0.1 0.04 0.01 0.01 Italy, North East 130 2.1 0.19 0.24 0.03 30 0.2 0.05 0.02 0.01 +* Important-See notes on population page 517
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