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Is 青垣町稲土菅原 (Tamba-shi) safe? Crime data, rent & livability

Overall score
47

How safe is 青垣町稲土菅原? No crimes were reported in 2024. With so few incidents, the score is statistically smoothed toward the average, giving a safety score of 89/100.

青垣町稲土菅原 is a neighborhood in Tamba-shi, Japan, with 0 everyday amenities within walking distance. Nearest station: Fukuchiyama-shimin-byoin-guchi (220 min walk). Rent for one or two people runs ¥19K–¥37K.

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savings

Rent

¥19K–¥37K
Single / couple (Studio–1LDK)

Family (2LDK–3LDK) ¥28K–¥52K

train

Getting around

220 min walk
Fukuchiyama-shimin-byoin-guchi Sta. · Kyoto Tango Railway Miyafuku Line

Add your commute destination to see the commute score for this area

people

Total population

76
Foreign residents 0 (0.0%)
Resident age groupsAvg. age 50.8
17%
7%
10%
13%
12%
15%
27%
~1940s70+

Census 2020 · age groups are for Tamba-shi

terrain

Terrain (slopes & elevation)

159m
Hilly
FlatSteep

Notable elevation change, about 17 m. The walk from the station has real ups and downs, so check the route itself when you view a place.

storefront

Local amenities

0pts
Kansai · 0 pts

Within walking distance

child_care

Childcare

0pts
Kansai · 0 pts
🧒Nurseries0
🏫Schools0
🌳Park0
volume_off

Quiet

100pts
Kansai · 100 pts
Road noiseNone
Railway noiseNone
Night noiseNone

No major road or railway runs nearby, so it stays quiet.

shield

Safety (crime data)

89pts
Kansai · 89 pts · 0.00 per 100 people/yr · 兵庫県警察 2024年
CautionArea avgSafe

Annual total 0

infoViolent crime isn't disclosed at the neighborhood level, so it isn't reflected in this score.

The local force publishes only a total for this block, without a breakdown by offence type. Annual counts per neighborhood from Metropolitan and prefectural police open data. Counts run higher where daytime foot traffic is heavy, so for a per-resident view see sonar's safety score (population-normalized). See the Kansai safety ranking →

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Other areas in Tamba-shi

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Scored from police, municipal and OpenStreetMap open data, using the same formula for every neighborhood.

Sources: OpenStreetMap, National Police Agency open data, MLIT hazard maps, and the Real Estate Information Library, aggregated per neighborhood. May differ from current conditions.