Japanese| Rank | Municipal Name | Penal code criminals per 1,000 people | Detail | |
|---|---|---|---|---|
 |
Numazu-shi | 16.3 | Detail | |
 |
Shimizu-cho | 15.5 | Detail | |
 |
Gotemba-shi | 13.8 | Detail | |
 |
Atami-shi | 12.9 | Detail | |
 |
Izunokuni-shi | 12.6 | Detail | |
 |
Fuji-shi | 12.3 | Detail | |
 |
Hamamatsu-shi | 11.8 | Detail | |
 |
Nagaizumi-cho | 11.7 | Detail | |
 |
Shizuoka-shi | 11.4 | Detail | |
 |
Mishima-shi | 11.2 | Detail | |
|
Kosai-shi | 11.2 | Detail | |
| 12 Rank | Kannami-cho | 11.1 | Detail | |
| 13 Rank | Itou-shi | 9.9 | Detail | |
| 13 Rank | Yaizu-shi | 9.9 | Detail | |
| 13 Rank | Shimoda-shi | 9.9 | Detail | |
| 16 Rank | Fukuroi-shi | 9.8 | Detail | |
| 17 Rank | Iwata-shi | 9.4 | Detail | |
| 18 Rank | Yoshida-cho | 9.2 | Detail | |
| 19 Rank | Kakegawa-shi | 9.0 | Detail | |
| 20 Rank | Fujinomiya-shi | 8.6 | Detail | |
| 21 Rank | Fujieda-shi | 8.3 | Detail | |
| 22 Rank | Shimada-shi | 8.0 | Detail | |
| 22 Rank | Susono-shi | 8.0 | Detail | |
| 24 Rank | Kikugawa-shi | 7.4 | Detail | |
| 25 Rank | Omaezaki-shi | 7.3 | Detail | |
| 26 Rank | Izu-shi | 7.1 | Detail | |
| 27 Rank | Oyama-cho | 7.0 | Detail | |
| 28 Rank | Makinohara-shi | 6.7 | Detail | |
| 29 Rank | Higashiizu-cho | 6.2 | Detail | |
| 29 Rank | Mori-machi | 6.2 | Detail | |
| 31 Rank | Kawazu-cho | 5.0 | Detail | |
| 32 Rank | Minamiizu-cho | 4.8 | Detail | |
| 33 Rank | Nishiizu-cho | 3.4 | Detail | |
| 34 Rank | Matsuzaki-cho | 2.9 | Detail | |
| 35 Rank | Kawanehon-cho | 2.1 | Detail | |
Shizuoka - Penal code criminals per 1,000 people Rankings()
About Penal code criminals 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 recognized criminal offenses per 1000 people
number of recognized criminal offenses per 1000 people : This is the value of the year of 2009 reserch data, that is divided by pupulation of the year of 2010 and muliplied by 1000.
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