Baseline/Nguyennga

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 China

SEX

Region/year 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002
Henan male 38,633 38,803 38,595 41,463 41,978 42,412 42,989 611,003 45,807 45,830 46,504
female 16,055 16,283 16,483 17,310 17,540 17,781 18,034 255,867 18,908 19,172 19,367
Xinjiang male 9,105 9,134 9,191 9,367 9,355 9,275 9,229 131,097 9,275 9,243 9,789
female 6,040 5,854 5,754 5,298 4,986 4,956 4,768 69,308 4,894 4,914 4,948
Hubei male 23,538 23,657 23,917 24,792 25,482 25,767 26,211 371,334 28,858 28,897 28,976
female 18,292 18,359 18,846 19,344 19,583 19,778 19,811 280,107 20,614 20,779 21,004
Beijing male 8,407 8,415 8,450 7,390 7,284 7,311 7,248 100,461 6,933 6,827 6,464
female 12,494 12,370 12,716 12,683 12,878 13,088 13,167 186,623 15,223 15,625 15,689
Hunan male 26,845 26,817 27,358 27,732 27,835 28,307 28,842 409,126 31,690 31,438 31,461
female 25,383 26,032 25,834 28,195 28,469 28,463 28,953 406,651 32,108 32,243 32,292
Hebei male 29,449 29,719 29,778 30,572 30,879 31,171 31,495 451,355 32,309 32,604 32,712
female 2,757 2,760 2,875 2,809 2,817 2,822 2,822 39,733 2,862 2,871 2,858
Guangdong male 41,665 41,707 41,700 42,021 41,794 42,043 41,671 600,667 37,787 37,973 37,553
female 32,754 32,859 33,888 33,718 33,709 33,967 33,832 485,494 35,881 36,113 36,538
Inner Mongolia male 9,914 10,162 10,663 10,487 10,631 10,865 10,870 154,324 11,292 11,505 11,458
female 34,111 35,292 35,134 36,402 37,341 37,813 38,769 541,978 42,847 43,493 42,974
Guangxi male 18,595 18,807 18,900 20,350 20,674 20,824 20,705 297,097 22,841 22,714 22,795
female 39,055 39,680 41,614 42,511 42,929 44,047 44,191 630,613 48,565 49,199 48,290
Jilin male 11,010 11,279 11,488 11,884 12,237 12,370 12,471 176,968 13,170 13,297 13,236
female 2,429 2,465 2,458 2,482 2,524 2,556 2,563 36,328 2,676 2,666 2,661
Hainan male 3,490 3,463 3,599 3,551 3,653 3,666 3,666 52,076 3,786 3,721 3,757
female 19,423 19,481 20,190 20,050 20,253 20,425 20,535 290,449 21,387 21,396 21,372
Shanghai male 9,664 9,513 9,412 8,452 8,420 8,384 8,316 116,932 8,495 8,038 8,139
female 9,047 8,851 8,796 7,705 7,530 7,243 7,046 103,122 7,280 7,242 7,259
Chongqing male 12,018 12,203 12,223 12,601 12,667 12,762 12,838 183,744 15,330 15,088 15,034
female 28,374 28,577 28,993 29,087 29,812 30,075 29,953 428,236 33,351 34,082 33,973
Zhejiang male 21,864 22,338 23,842 22,519 22,543 22,397 22,551 319,465 22,541 22,695 22,559
female 10,948 11,067 11,384 11,921 12,010 12,162 12,205 173,235 13,095 13,146 13,114
Sichuan male 32,793 32,094 33,643 36,069 36,381 37,388 37,555 545,031 42,072 42,246 42,730
female 20,352 20,259 20,785 22,541 22,578 22,617 22,606 319,740 24,566 24,948 24,709
Fujian male 14,982 15,490 16,103 16,049 16,142 16,291 16,262 232,669 16,955 16,745 16,374
female 10,699 10,613 10,540 11,012 11,185 11,201 11,310 161,560 11,941 12,006 12,128
Guizhou male 13,960 14,135 13,978 16,316 16,390 16,699 16,747 239,513 18,209 18,270 18,196
female 31,069 31,087 32,083 31,671 32,103 32,330 32,179 455,500 33,769 33,965 33,751
Shandong male 39,403 39,978 41,017 41,456 42,457 42,662 42,789 612,167 44,388 44,793 44,327
female 10,268 10,349 10,644 8,363 8,435 8,325 8,209 118,419 8,208 8,024 7,873
Yunnan male 18,635 18,882 19,385 19,451 19,658 20,003 19,965 285,146 21,102 20,462 20,584
female 11,696 11,670 12,002 12,465 12,527 12,697 12,772 182,545 13,226 13,387 13,457
Shanxi male 14,576 14,736 14,980 14,875 15,167 15,240 15,416 218,802 15,748 15,881 15,744
female 16,165 15,783 15,680 16,048 16,342 16,463 16,593 235,254 17,093 17,516 17,753
Tibet male 1,267 1,292 1,268 1,300 1,323 1,317 1,315 18,517 1,351 1,372 1,353
female 23,512 23,361 22,833 22,954 23,358 23,447 22,972 328,876 23,141 23,239 23,210
Heilongjiang male 15,596 15,707 16,273 16,755 17,149 17,412 17,470 249,780 18,332 18,521 18,439
female 40,928 40,832 41,319 42,411 42,513 43,033 43,164 611,975 44,684 44,983 45,371
Anhui male 24,382 23,931 25,155 26,443 27,029 27,783 27,928 403,444 30,467 30,409 30,492
female 15,381 15,393 15,718 15,503 15,611 15,829 15,766 225,294 16,604 16,677 16,711
Ningxia male 2,642 2,640 2,588 2,695 2,716 2,738 2,718 39,159 2,800 2,779 2,727
female 24,322 24,562 25,274 26,070 26,215 26,640 26,858 384,490 29,653 30,286 30,294
Qinghai male 2,339 2,318 2,396 2,452 2,484 2,488 2,485 35,574 2,538 2,559 2,528
female 46,183 46,688 48,050 42,960 43,920 43,606 43,780 616,339 39,858 39,703 39,663
Gansu male 10,363 10,440 10,523 11,484 11,730 11,828 11,904 170,129 12,314 12,483 12,431
female 3,899 3,934 3,897 4,054 4,012 4,030 4,030 57,525 4,130 4,217 4,135
Shaanxi male 15,151 15,123 15,566 16,539 16,766 17,059 17,185 243,750 17,497 17,697 17,640
female 15,912 16,193 16,410 16,965 17,233 17,324 17,389 248,660 18,525 18,617 18,657
Jiangxi male 17,898 18,099 18,157 19,136 19,370 19,519 19,534 280,223 20,137 20,345 20,150
female 1,308 1,275 1,324 1,256 1,253 1,270 1,259 18,149 1,285 1,266 1,256
Jiangsu male 32,772 33,225 33,597 34,653 35,459 35,536 35,642 503,960 36,415 36,854 36,428
female 20,044 19,993 20,179 21,008 21,290 21,266 21,394 303,893 21,618 22,374 21,946
Liaoning male 17,939 18,263 18,601 19,085 19,405 19,539 19,420 278,620 20,486 20,770 20,604
female 14,944 14,935 15,658 17,464 17,736 17,888 17,919 254,202 19,571 19,663 19,490
Tianjin male 6,109 5,937 5,822 5,175 5,129 4,940 4,926 68,752 4,975 5,043 5,013
female 9,583 9,496 9,679 9,611 9,649 9,597 9,452 134,718 9,605 9,591 10,010

source: [1]: national bureau statistics of China

Alcohol

High red meat consumption, especially processed meats and high alcohol consumption increase the risk of incident bowel cancer.

Obesity

Being overweight or obese is one the factors increasing the bowel cancer

Obesity (poor diet and inadequate exercise) and excess alcohol consumption are some of the causes of breast cancer

Germany

SEX(2014)

Regional breakdown      
Population
total male female
number
Baden-Württemberg 10,716,644 5,284,223 5,432,421
Bayern 12,691,568 6,249,965 6,441,603
Berlin 3,469,849 1,696,218 1,773,631
Brandenburg 2,457,872 1,210,474 1,247,398
Bremen 661,888 324,423 337,465
Hamburg 1,762,791 857,446 905,345
Hessen 6,093,888 2,991,752 3,102,136
Mecklenburg-Vorpommern 1,599,138 787,945 811,193
Niedersachsen 7,826,739 3,846,089 3,980,650
Nordrhein-Westfalen 17,638,098 8,606,003 9,032,095
Rheinland-Pfalz 4,011,582 1,970,535 2,041,047
Saarland 989,035 482,599 506,436
Sachsen 4,055,274 1,987,607 2,067,667
Sachsen-Anhalt 2,235,548 1,095,797 1,139,751
Schleswig-Holstein 2,830,864 1,381,451 1,449,413
Thüringen 2,156,759 1,062,930 1,093,829
Germany 81,197,537 39,835,457 41,362,080

AGE(2014)

region <15 15-65 >65
Baden-Württemberg 1472547 7119817 2124280
Bayern      
Berlin 458,300.0 2,344,400.0 667,100.0
Brandenburg 302,700.0 1,588,300.0 566,800.0
Bremen 83070 186800 141607
Hamburg      
Hessen 816596 4034228 1237082
Mecklenburg-Vorpommern      
Niedersachsen      
Nordrhein-Westfalen 2315707 11674482 3647909
Rheinland-Pfalz 548906 2624758 837919
Saarland      
Sachsen 504800 2539200 1011200
Sachsen-Anhalt 255290 1421744 558514
Schleswig-Holstein      
Thüringen

source:[2]

The Netherlands 

Smocking & overweight

Determinants of health
Smoking behaviour (12 years or older) Overweight
Smokers Heavy smokers Seriously overweight (obese) (20+) Moderately overweight

(4-20 yrs)

Smokers Heavy smokers Seriously overweight (obese) (20+) Moderately overweight

(4-20 yrs)

Periods % % % %
2001 33.3 9.8 9.6 9.2
2002 32.3 8.6 10.1 9.1
2003 30.8 8.2 11.1 7.8
2004 29.6 7.4 11.4 9.8
2005 29.5 7.7 11.1 10.7
2006 29.6 7.2 11.7 9.2
2007 27.9 6.7 11.6 9
2008 27.6 6.8 11.5 10.5
2009 27.1 6.3 12.1 11
2010 25.6 4.9 11.4 10.5
2011 25.6 5.1 11.4 10.1
2012 23.3 4 12 10.8
2013 23.2 3.8 11.8 9.5
2014 24.9 4.3 14.2 9.5