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. 2005 Jun 14;4:16. doi: 10.1186/1476-072X-4-16

Table 4.

Relationship between mortality clusters and societal clusters.

Figures show the number of municipalities and the percentage in parenthesis by mortality cluster.
Mortality cluster a Societal cluster b

SC1 (N = 507) SC2 (N = 1483) SC3 (N = 1246) SC4 (N = 124)

Male colon cancer

MC1 (N = 53) 53 (100.0)
MC2 (N = 228) 8 (3.5) 59 (25.9) 152 (66.7) 9 (3.9)
MC3 (N = 61) 45 (73.8) 7 (11.5) 9 (14.8)
MC4 (N = 27) 25 (92.6) 2 (7.4)
MC5 (N = 1) 1(100.0)

Male lung cancer

MC1 (N = 159) 81 (50.9) 33 (20.8) 33 (20.8) 12 (4.8)
MC2 (N = 289) 8 (2.8) 46 (15.9) 221 (76.5) 14 (4.8)
MC3 (N = 48) 5 (10.4) 6 (12.5) 37 (77.1)
MC4 (N = 54) 28 (51.9) 24 (44.4) 2 (3.7)
MC5 (N = 12) 4 (33.3) 7 (58.3) 1 (8.3)
MC6 (N = 162) 27 (16.7) 94 (58.0) 16 (9.9) 25 (15.4)
MC7 (N = 8) 8 (100.0)

Female breast cancer

MC1 (N = 51) 51 (100.0)
MC2 (N = 68) 57 (83.8) 2 (2.9) 9 (13.2)
MC3 (N = 168) 8 (4.8) 24 (14.3) 126 (75.0) 10 (6.0)
MC4 (N = 15) 15 (100.0)

aMortality cluster (MC) of municipalities with high mortality was identified by the spatial scan statistic: Figures 2-4. bSocietal cluster (SC) of municipalities was classified by cluster analysis with two societal indices and population density (see Table 2).