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 Renal pelvis (C65) (contd) MALE Cases ASR(W) CUM 0-74 FEMALE Cases ASR(W) CUM 0-74 Asia (contd) *India, Ahmedabad 0 - - - - 0 - - - - *India, Bangalore 1 0.0 0.01 - - 1 0.0 0.01 0.00 0.00 India, Chennai (Madras) 1 0.0 0.01 0.00 0.00 0 - - - - *India, Delhi 10 0.1 0.03 0.01 0.00 1 0.0 0.01 - - *India, Karunagappally 0 - - - - 0 - - - - India, Mumbai (Bombay) 7 0.0 0.01 0.01 0.00 2 0.0 0.01 0.00 0.00 *India, Nagpur 0 - - - - 0 - - - - *India, Poona 1 0.0 0.03 - - 0 - - - - *India, Trivandrum 0 - - - - 1 0.0 0.04 0.01 0.01 Israel: Jews 66 0.5 0.06 0.06 0.01 29 0.2 0.04 0.02 0.01 Israel: Jews born in Israel 6 0.3 0.15 0.02 0.01 3 0.1 0.10 0.03 0.02 Israel: Jews born in Europe or America 38 0.5 0.09 0.06 0.01 18 0.2 0.06 0.02 0.01 Israel: Jews born in Africa or Asia 22 0.6 0.12 0.08 0.02 8 0.2 0.07 0.03 0.01 Israel: Non-Jews 3 0.2 0.12 0.02 0.02 1 0.1 0.08 0.02 0.02 Japan, Hiroshima 50 1.4 0.20 0.18 0.03 23 0.4 0.10 0.05 0.01 *Japan, Miyagi Prefecture 88 1.0 0.11 0.13 0.02 32 0.2 0.05 0.02 0.01 *Japan, Nagasaki Prefecture 74 1.1 0.13 0.14 0.02 32 0.3 0.06 0.04 0.01 *Japan, Osaka Prefecture 255 0.8 0.05 0.10 0.01 103 0.2 0.02 0.03 0.00 *Japan, Saga Prefecture 43 1.0 0.16 0.13 0.03 12 0.2 0.06 0.01 0.01 *Japan, Yamagata Prefecture 48 0.8 0.11 0.09 0.02 20 0.2 0.05 0.02 0.01 *Korea, Busan 20 0.8 0.18 0.13 0.04 4 0.1 0.05 0.02 0.01 *Korea, Daegu 2 0.1 0.10 0.03 0.02 1 0.0 0.05 0.01 0.01 *Korea, Kangwha County 0 - - - - 0 - - - - *Korea, Seoul 110 0.6 0.07 0.09 0.01 46 0.2 0.03 0.04 0.01 *Kuwait: Kuwaitis 2 0.4 0.27 0.06 0.04 0 - - - - *Kuwait: Non-Kuwaitis 1 0.0 0.04 0.00 0.00 1 0.6 0.55 0.14 0.14 *Oman: Omani 2 0.1 0.09 0.02 0.01 0 - - - - *Pakistan, South Karachi 5 0.3 0.16 0.04 0.02 1 0.1 0.11 0.01 0.01 *Philippines, Manila 0 - - - - 1 0.0 0.02 0.00 0.00 *Philippines, Rizal 3 0.1 0.04 0.01 0.00 2 0.0 0.02 0.01 0.01 Singapore: Chinese 25 0.5 0.10 0.06 0.02 13 0.2 0.06 0.04 0.01 Singapore: Indian 0 - - - - 1 0.3 0.27 0.03 0.03 Singapore: Malay 4 0.6 0.30 0.02 0.02 2 0.3 0.24 0.02 0.02 *Thailand, Bangkok 17 0.3 0.07 0.04 0.01 12 0.2 0.05 0.02 0.01 *Thailand, Chiang Mai 14 0.4 0.11 0.05 0.01 7 0.2 0.08 0.03 0.01 *Thailand, Khon Kaen 8 0.2 0.09 0.03 0.01 2 0.0 0.03 0.00 0.00 *Thailand, Lampang 15 0.8 0.20 0.10 0.03 5 0.3 0.12 0.03 0.01 *Thailand, Songkhla 5 0.3 0.12 0.02 0.01 1 0.1 0.06 0.01 0.01 *Viet Nam, Hanoi 0 - - - - 1 0.0 0.02 - - *Viet Nam, Ho Chi Minh City 0 - - - - 0 - - - - Europe Austria, Tyrol 24 1.2 0.25 0.14 0.03 18 0.6 0.15 0.08 0.02 Austria, Vorarlberg 7 0.8 0.29 0.11 0.04 6 0.5 0.20 0.08 0.03 +*Belarus 29 0.1 0.02 0.01 0.00 13 0.0 0.01 0.00 0.00 *Belgium, Flanders, (excl. Limburg) 22 0.3 0.07 0.03 0.01 24 0.2 0.05 0.03 0.01 *Belgium, Limburg 3 0.3 0.15 - - 0 - - - - *Croatia 10 0.1 0.02 0.01 0.00 12 0.0 0.01 0.01 0.00 Czech Republic 276 0.8 0.05 0.10 0.01 263 0.6 0.04 0.07 0.01 Denmark 336 1.7 0.09 0.23 0.01 241 0.9 0.07 0.13 0.01 Estonia 18 0.4 0.10 0.05 0.02 7 0.1 0.03 0.01 0.00 Finland 111 0.6 0.06 0.07 0.01 83 0.3 0.04 0.04 0.01 France, Bas-Rhin 17 0.5 0.13 0.07 0.02 10 0.2 0.08 0.03 0.01 *France, Calvados 5 0.2 0.10 0.02 0.01 0 - - - - France, Cote d’Or France, Doubs 5 0.3 0.14 0.03 0.02 4 0.1 0.08 0.01 0.01 France, Haut-Rhin 2 0.1 0.06 0.01 0.01 0 - - - - *France, Herault 30 0.8 0.15 0.09 0.02 22 0.5 0.12 0.05 0.02 France, Isere 20 0.6 0.13 0.06 0.02 1 0.0 0.03 0.00 0.00 *France, Manche 8 0.4 0.16 0.08 0.03 7 0.3 0.13 0.03 0.02 *France, Somme 8 0.4 0.13 0.06 0.02 6 0.3 0.11 0.04 0.02 France, Tarn 16 0.9 0.24 0.12 0.04 7 0.3 0.13 0.03 0.02 Germany, Saarland 26 0.6 0.11 0.08 0.02 10 0.1 0.05 0.02 0.01 Iceland 7 0.9 0.34 0.10 0.05 8 0.8 0.30 0.10 0.05 Ireland 30 0.3 0.06 0.03 0.01 16 0.1 0.03 0.02 0.01 Italy, Biella Province 7 1.2 0.47 0.14 0.06 4 0.4 0.22 0.05 0.03 Italy, Ferrara Province 26 1.5 0.30 0.18 0.04 3 0.1 0.07 0.02 0.01 *Italy, Florence 39 0.7 0.12 0.09 0.02 17 0.2 0.06 0.02 0.01 Italy, Genoa Province 39 1.0 0.17 0.13 0.02 15 0.3 0.09 0.04 0.01 Italy, Liguria Italy, Macerata Province 6 0.4 0.15 0.05 0.03 1 0.0 0.02 - - Italy, Modena Province 19 0.7 0.16 0.10 0.02 5 0.2 0.08 0.02 0.01 Italy, North East 30 0.5 0.10 0.07 0.02 24 0.2 0.06 0.02 0.01 +* Important-See notes on population page 646
Age-standardized (world) incidence (per 100,000) and cumulative (0-74) incidence (percent) rates and standard errors Renal pelvis (C65) (contd) MALE Cases ASR(W) CUM 0-74 FEMALE Cases ASR(W) CUM 0-74 Europe (contd) Italy, Parma Province 25 1.2 0.26 0.18 0.04 9 0.3 0.11 0.04 0.02 *Italy, Ragusa Province 5 0.4 0.19 0.06 0.03 3 0.2 0.13 0.04 0.02 Italy, Romagna 32 0.6 0.12 0.09 0.02 10 0.1 0.04 0.01 0.01 Italy, Sassari 12 0.7 0.21 0.10 0.03 6 0.3 0.14 0.04 0.02 Italy, Torino 56 1.2 0.17 0.16 0.03 24 0.3 0.08 0.03 0.01 Italy, Umbria 24 1.0 0.21 0.10 0.03 6 0.2 0.10 0.02 0.01 Italy, Varese Province 33 1.0 0.17 0.13 0.03 12 0.2 0.08 0.02 0.01 Italy, Venetian Region 33 0.5 0.09 0.09 0.02 11 0.1 0.04 0.02 0.01 *Latvia 22 0.3 0.06 0.04 0.01 8 0.1 0.03 0.01 0.00 Lithuania 12 0.1 0.04 0.02 0.00 5 0.0 0.02 0.00 0.00 Malta 8 0.7 0.23 0.08 0.03 3 0.3 0.15 0.03 0.02 The Netherlands 497 0.9 0.04 0.11 0.01 286 0.4 0.03 0.05 0.00 The Netherlands, Eindhoven 40 1.2 0.20 0.17 0.03 19 0.4 0.10 0.05 0.02 The Netherlands, Maastricht 22 0.7 0.14 0.09 0.02 12 0.3 0.09 0.04 0.01 Norway 201 1.1 0.09 0.14 0.01 123 0.5 0.05 0.06 0.01 *Poland, Cracow 2 0.1 0.08 0.00 0.00 7 0.2 0.08 0.03 0.01 *Poland, Kielce 3 0.1 0.06 0.02 0.01 1 0.0 0.03 0.00 0.00 *Poland, Lower Silesia 3 0.0 0.02 0.00 0.00 5 0.0 0.02 0.01 0.00 Poland, Warsaw City 13 0.2 0.06 0.03 0.01 3 0.0 0.02 0.01 0.00 *Portugal, Vila Nova de Gaia 0 - - - - 0 - - - - *Russia, St Petersburg 16 0.2 0.04 0.02 0.01 12 0.1 0.02 0.01 0.00 Slovakia 109 0.7 0.07 0.10 0.01 107 0.5 0.05 0.06 0.01 Slovenia 34 0.5 0.09 0.07 0.02 26 0.3 0.06 0.03 0.01 Spain, Albacete 0 - - - - 1 0.1 0.08 0.01 0.01 Spain, Asturias 18 0.5 0.12 0.07 0.02 6 0.1 0.04 0.01 0.01 *Spain, Canary Islands 21 0.9 0.20 0.09 0.03 2 0.1 0.05 0.01 0.01 Spain, Cuenca 6 0.6 0.27 0.05 0.03 1 0.1 0.06 0.02 0.02 Spain, Girona 13 1.0 0.30 0.10 0.04 7 0.2 0.10 0.03 0.02 Spain, Granada 25 0.9 0.19 0.11 0.03 8 0.2 0.07 0.03 0.01 Spain, Mallorca 26 1.4 0.28 0.17 0.04 8 0.3 0.13 0.05 0.02 Spain, Murcia 36 1.3 0.22 0.20 0.04 8 0.2 0.09 0.04 0.01 Spain, Navarra 27 1.1 0.23 0.13 0.03 8 0.2 0.10 0.03 0.01 Spain, Tarragona 22 0.9 0.20 0.12 0.03 5 0.1 0.07 0.02 0.01 *Spain, Zaragoza 28 0.8 0.16 0.12 0.02 6 0.1 0.05 0.01 0.01 Sweden 322 0.8 0.05 0.10 0.01 256 0.5 0.04 0.07 0.01 Switzerland, Basel 15 0.8 0.20 0.10 0.03 17 0.7 0.19 0.12 0.03 Switzerland, Geneva 20 1.1 0.27 0.14 0.04 11 0.6 0.18 0.06 0.03 Switzerland, Graubunden and Glarus 6 0.6 0.26 0.08 0.04 2 0.3 0.19 0.03 0.03 Switzerland, Neuchatel 5 0.7 0.31 0.04 0.04 5 0.7 0.34 0.08 0.05 Switzerland, St Gall-Appenzell 18 1.1 0.27 0.17 0.04 11 0.4 0.14 0.04 0.02 *Switzerland, Ticino 1 0.2 0.24 0.03 0.03 0 - - - - Switzerland, Valais 9 1.0 0.35 0.15 0.05 5 0.4 0.18 0.05 0.03 Switzerland, Vaud 19 1.1 0.26 0.15 0.04 17 0.6 0.17 0.10 0.03 Switzerland, Zurich 44 1.2 0.19 0.16 0.03 36 0.7 0.13 0.10 0.02 *UK, England 688 0.4 0.01 0.04 0.00 504 0.2 0.01 0.02 0.00 UK, England, East Anglia 55 0.6 0.09 0.07 0.01 39 0.3 0.05 0.03 0.01 UK, England, Merseyside and Cheshire 31 0.3 0.06 0.04 0.01 24 0.2 0.05 0.03 0.01 UK, England, North Western 58 0.4 0.05 0.05 0.01 68 0.3 0.05 0.05 0.01 UK, England, Oxford Region 65 0.7 0.09 0.10 0.01 42 0.4 0.06 0.05 0.01 *UK, England, South Thames 63 0.2 0.03 0.03 0.00 48 0.1 0.02 0.02 0.00 *UK, England, South and Western Regions 113 0.4 0.04 0.05 0.01 68 0.2 0.03 0.02 0.00 UK, England, Trent 90 0.5 0.05 0.06 0.01 73 0.3 0.04 0.04 0.01 *UK, England, West Midlands Region 134 0.6 0.06 0.08 0.01 95 0.3 0.04 0.04 0.01 UK, England, Yorkshire 57 0.4 0.05 0.05 0.01 49 0.2 0.03 0.03 0.01 UK, Northern Ireland 32 0.6 0.10 0.07 0.02 15 0.2 0.05 0.03 0.01 UK, Scotland 82 0.4 0.05 0.05 0.01 69 0.3 0.04 0.04 0.01 *Yugoslavia, Vojvodina 15 0.2 0.05 0.02 0.01 5 0.1 0.05 0.01 0.00 Oceania Australia, Capital Territory 5 0.6 0.29 0.10 0.05 5 0.6 0.28 0.05 0.03 Australia, New South Wales 210 1.0 0.07 0.12 0.01 351 1.3 0.08 0.18 0.01 Australia, Northern Territory 1 0.3 0.26 0.03 0.03 0 - - - - Australia, Queensland 88 0.8 0.09 0.11 0.01 132 1.0 0.10 0.14 0.02 Australia, South 35 0.6 0.11 0.08 0.02 42 0.6 0.11 0.08 0.02 Australia, Tasmania 9 0.5 0.19 0.05 0.02 7 0.3 0.12 0.04 0.02 Australia, Victoria 92 0.6 0.07 0.07 0.01 89 0.5 0.05 0.06 0.01 Australia, Western 26 0.5 0.09 0.05 0.01 26 0.4 0.08 0.04 0.01 New Zealand 28 0.2 0.05 0.03 0.01 26 0.2 0.04 0.02 0.01 USA, Hawaii: White 9 1.0 0.35 0.17 0.06 6 0.5 0.23 0.06 0.03 USA, Hawaii: Chinese 2 0.8 0.60 0.07 0.07 0 - - - - USA, Hawaii: Filipino 1 0.2 0.20 0.03 0.03 2 0.4 0.28 0.03 0.03 USA, Hawaii: Hawaiian 3 0.6 0.36 0.08 0.06 1 0.2 0.22 0.04 0.04 USA, Hawaii: Japanese 13 0.7 0.22 0.05 0.03 4 0.1 0.07 0.01 0.01 +* Important-See notes on population page 647
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