Japanese| Rank | Municipal Name | Penal code criminals per 1,000 people | Detail | |
|---|---|---|---|---|
 |
Ooizumi-machi | 19.6 | Detail | |
 |
Isesaki-shi | 16.2 | Detail | |
 |
Oota-shi | 16.1 | Detail | |
 |
Tatebayashi-shi | 13.3 | Detail | |
 |
Maebashi-shi | 13.1 | Detail | |
 |
Midori-shi | 12.2 | Detail | |
 |
Tamamura-machi | 11.9 | Detail | |
 |
Meiwa-machi | 11.4 | Detail | |
 |
Shibukawa-shi | 11.2 | Detail | |
 |
Kusatsu-machi | 10.8 | Detail | |
| 11 Rank | Higashiagatsuma-machi | 10.7 | Detail | |
| 11 Rank | ora-machi | 10.7 | Detail | |
| 13 Rank | Kiryuu-shi | 10.6 | Detail | |
| 14 Rank | Fujioka-shi | 10.5 | Detail | |
| 15 Rank | Takasaki-shi | 10.4 | Detail | |
| 16 Rank | Yoshioka-machi | 9.2 | Detail | |
| 17 Rank | Naganohara-machi | 8.8 | Detail | |
| 17 Rank | Chiyoda-machi | 8.8 | Detail | |
| 19 Rank | Itakura-machi | 8.7 | Detail | |
| 20 Rank | Katashina-mura | 8.6 | Detail | |
| 21 Rank | Ueno-mura | 8.4 | Detail | |
| 22 Rank | Numata-shi | 8.3 | Detail | |
| 23 Rank | Minakami-machi | 6.9 | Detail | |
| 24 Rank | Annaka-shi | 6.7 | Detail | |
| 25 Rank | Tsumagoi-mura | 6.6 | Detail | |
| 25 Rank | Takayama-mura | 6.6 | Detail | |
| 27 Rank | Tomioka-shi | 6.4 | Detail | |
| 27 Rank | Kanra-machi | 6.4 | Detail | |
| 29 Rank | Nakanojo-machi | 6.3 | Detail | |
| 30 Rank | Shinto-mura | 5.6 | Detail | |
| 31 Rank | Kawaba-mura | 4.9 | Detail | |
| 32 Rank | Showa-mura | 4.7 | Detail | |
| 33 Rank | Shimonita-machi | 4.2 | Detail | |
| 34 Rank | Nammoku-mura | 4.1 | Detail | |
| 35 Rank | Kanna-machi | 3.8 | Detail | |
Gunma - 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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