Top » Educational statistics ranking by local governments » Building fire cases per 1,000 people » Kagoshima » 2008 school year

Kagoshima - Building fire cases per 1,000 people Rankings(2008 school year)

Rank Municipal Name Building fire cases per 1,000 people Detail
Oosaki-cho 0.91
Detail
Kinko-cho 0.89
Detail
Amagi-cho 0.75
Detail
Nakatane-cho 0.57
Detail
Yamato-son 0.57
Detail
Tatsugo-cho 0.49
Detail
Kimotsuki-cho 0.47
Detail
Minamikyuushuu-shi 0.46
Detail
Higashikushira-cho 0.44
Detail
Isen-cho 0.44
Detail
11 Rank Soo-shi 0.43
Detail
12 Rank Nishinoomote-shi 0.41
Detail
12 Rank Isa-shi 0.41
Detail
14 Rank Hioki-shi 0.37
Detail
14 Rank Yakushima-cho 0.37
Detail
14 Rank Kikai-cho 0.37
Detail
17 Rank Minamisatsuma-shi 0.36
Detail
17 Rank Shibushi-shi 0.36
Detail
19 Rank Tarumizu-shi 0.35
Detail
20 Rank Kanoya-shi 0.33
Detail
21 Rank Izumi-shi 0.32
Detail
21 Rank Minamitane-cho 0.32
Detail
23 Rank Kirishima-shi 0.31
Detail
24 Rank Setochi-cho 0.30
Detail
25 Rank Aira-shi 0.29
Detail
25 Rank China-cho 0.29
Detail
27 Rank Wadomari-cho 0.28
Detail
28 Rank Akune-shi 0.26
Detail
29 Rank Makurazaki-shi 0.25
Detail
29 Rank Ibusuki-shi 0.25
Detail
31 Rank Satsumasendai-shi 0.23
Detail
32 Rank Amami-shi 0.22
Detail
33 Rank Kagoshima-shi 0.21
Detail
33 Rank Satsuma-cho 0.21
Detail
35 Rank Yoron-cho 0.19
Detail
36 Rank Nagashima-cho 0.18
Detail
37 Rank Yuusui-cho 0.17
Detail
38 Rank Minamioosumi-cho 0.11
Detail
39 Rank Ichikikushikino-shi 0.10
Detail
40 Rank Tokunoshima-cho 0.08
Detail
41 Rank Mishima-mura 0.00
Detail
41 Rank Toshima-mura 0.00
Detail
41 Rank Uken-son 0.00
Detail

About Building fire cases per 1,000 people ranking

Educational statistics ranking by local governments

This ranking is created as follows; the value of each data is mechanically sorted and the rank is marked in descending order. If there are more than one category with a same value, they are ranked as a same rank.

About number of firing of buildings per 1000 people

number of firing of buildings per 1000 people : This is the value of the year of 2008 reserch data, that is divided by pupulation of the year of 2010 and muliplied by 1000.