Japanese| Rank | Municipal Name | Penal code criminals per 1,000 people | Detail | |
|---|---|---|---|---|
 |
Mikawa-machi | 11.9 | Detail | |
 |
Yamagata-shi | 10.2 | Detail | |
 |
Tendou-shi | 9.8 | Detail | |
 |
Yonezawa-shi | 8.8 | Detail | |
 |
Shinjou-shi | 8.4 | Detail | |
 |
Sagae-shi | 7.6 | Detail | |
 |
Nanyou-shi | 7.4 | Detail | |
 |
Higashine-shi | 6.8 | Detail | |
 |
Oguni-machi | 6.5 | Detail | |
 |
Kaminoyama-shi | 6.3 | Detail | |
| 11 Rank | Sakata-shi | 6.1 | Detail | |
| 12 Rank | Nakayama-machi | 5.8 | Detail | |
| 13 Rank | Obanazawa-shi | 5.4 | Detail | |
| 14 Rank | Funagata-machi | 5.2 | Detail | |
| 15 Rank | Tsuruoka-shi | 5.1 | Detail | |
| 16 Rank | Kahoku-cho | 4.4 | Detail | |
| 16 Rank | Ooishida-machi | 4.4 | Detail | |
| 18 Rank | Tozawa-mura | 4.1 | Detail | |
| 18 Rank | Takahata-machi | 4.1 | Detail | |
| 20 Rank | Yamanobe-machi | 3.8 | Detail | |
| 21 Rank | Kawanishi-machi | 3.6 | Detail | |
| 22 Rank | Murayama-shi | 3.5 | Detail | |
| 22 Rank | Nishikawa-machi | 3.5 | Detail | |
| 24 Rank | Nagai-shi | 3.2 | Detail | |
| 25 Rank | Mamurogawa-machi | 2.9 | Detail | |
| 26 Rank | Asahi-machi | 2.8 | Detail | |
| 27 Rank | Ooe-machi | 2.6 | Detail | |
| 27 Rank | Shonai-machi | 2.6 | Detail | |
| 29 Rank | Iide-machi | 2.3 | Detail | |
| 29 Rank | Yuza-machi | 2.3 | Detail | |
| 31 Rank | Mogami-machi | 2.1 | Detail | |
| 32 Rank | Ookura-mura | 1.9 | Detail | |
| 33 Rank | Sakegawa-mura | 1.6 | Detail | |
| 34 Rank | Kaneyama-machi | 1.4 | Detail | |
| 34 Rank | Shirataka-machi | 1.4 | Detail | |
Yamagata - 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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