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Is Kyokunan (Chita-shi) safe? Crime data, rent & livability

Overall score
48
Bottom 22% in Greater Nagoya

How safe is Kyokunan? No crimes were reported in the most recent police data. With so few incidents, the score is statistically smoothed toward the average, giving a safety score of 60/100.

Kyokunan is a neighborhood in Chita-shi, Japan, with 10 everyday amenities within walking distance. Nearest station: Shin Maiko (14 min walk). Rent for one or two people runs ¥34K–¥63K.

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savings

Rent

¥34K–¥63K
Single / couple (Studio–1LDK)

Family (2LDK–3LDK) ¥40K–¥108K

train

Getting around

14 min walk
Shin Maiko Sta. · Meitetsu Tokoname Line

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

people

Total population

119
Foreign residents 0 (0.0%)
Resident age groupsAvg. age 46.8
18%
10%
11%
15%
13%
12%
22%
~1940s70+

Census 2020 · age groups are for Chita-shi

terrain

Terrain (slopes & elevation)

4m
Mostly flat
FlatSteep

The ground barely rises, so walking or cycling from the station is easy.

storefront

Local amenities

Bottom 33%
Greater Nagoya · 9 pts
🌳
Park1
🏥
Hospital3
🍴
Dining1

Within walking distance

child_care

Childcare

Bottom 41%
Greater Nagoya · 38 pts
🧒Nurseries2
🏫Schools1
🌳Park1
volume_off

Noise sources nearby

Bottom 27%
Greater Nagoya · 86 pts
Road noiseNear a main road
Railway noiseNone
Night noiseNone

There is a major arterial road. Worth checking for noise when you view a place.

shield

Safety (crime data)

Bottom 23%
Greater Nagoya · 60 pts · 0.00 per 100 people/yr · 愛知県警察
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 Aichi safety ranking →

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Other areas in Chita-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.