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

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

Rank Municipal Name Building fire cases per 1,000 people Detail
Yachiyo-machi 0.82
Detail
Kawachi-machi 0.69
Detail
Hokota-shi 0.54
Detail
Shimotsuma-shi 0.53
Detail
Bandou-shi 0.52
Detail
Sakuragawa-shi 0.48
Detail
Ooarai-machi 0.44
Detail
Sakai-machi 0.43
Detail
Kashima-shi 0.42
Detail
Chikusei-shi 0.41
Detail
11 Rank Hitachioomiya-shi 0.38
Detail
11 Rank Kamisu-shi 0.38
Detail
13 Rank Shirosato-machi 0.37
Detail
14 Rank Takahagi-shi 0.35
Detail
14 Rank Miho-mura 0.35
Detail
16 Rank Itako-shi 0.33
Detail
17 Rank Inashiki-shi 0.32
Detail
17 Rank Ibaraki-machi 0.32
Detail
19 Rank Kitaibaraki-shi 0.30
Detail
19 Rank Kasama-shi 0.30
Detail
21 Rank Namegata-shi 0.29
Detail
21 Rank Tone-machi 0.29
Detail
23 Rank Hitachi-shi 0.28
Detail
24 Rank Mito-shi 0.27
Detail
24 Rank Tsukubamirai-shi 0.27
Detail
24 Rank Omitama-shi 0.27
Detail
27 Rank Jousou-shi 0.26
Detail
28 Rank Ishioka-shi 0.25
Detail
29 Rank Koga-shi 0.24
Detail
30 Rank Hitachioota-shi 0.23
Detail
31 Rank Yuuki-shi 0.21
Detail
31 Rank Tsukuba-shi 0.21
Detail
31 Rank Tokai-mura 0.21
Detail
31 Rank Goka-machi 0.21
Detail
35 Rank Ryuugasaki-shi 0.20
Detail
35 Rank Daigo-machi 0.20
Detail
37 Rank Ami-machi 0.19
Detail
38 Rank Kasumigaura-shi 0.18
Detail
39 Rank Tsuchiura-shi 0.17
Detail
39 Rank Naka-shi 0.17
Detail
41 Rank Toride-shi 0.16
Detail
41 Rank Moriya-shi 0.16
Detail
43 Rank Hitachinaka-shi 0.13
Detail
44 Rank Ushiku-shi 0.11
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.