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Living in Kaidori 2-chōme, Tama-shi: rent, safety & local area

Overall score
77
Top 17% in Greater Tokyo
🤫 Quietness top 6%

Kaidori 2-chōme is a neighborhood in Tama-shi, Japan, with 35 everyday amenities within walking distance. Nearest station: Odakyu Nagayama (21 min walk). Rent for one or two people runs ¥48K–¥113K. On sonar you can check whether it fits your commute and budget.

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savings

Rent

¥48K–¥113K
Single / couple (Studio–1LDK)

Family (2LDK–3LDK) ¥65K–¥142K

train

Getting around

21 min walk
Odakyu Nagayama Sta. · Odakyu Tama Line

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

people

Total population

3,274
Foreign residents 27 (0.8%)
Resident age groupsAvg. age 47.9
16%
10%
11%
15%
14%
12%
23%
~1940s70+

Census 2020 · age groups are for Tama-shi

terrain

Terrain (slopes & elevation)

106m
Gentle slopes
FlatSteep

Gentle slopes, about 9 m of relief. The walk takes a little longer than the same distance on flat ground.

storefront

Local amenities

Top 30%
Greater Tokyo · 63 pts
🛒
Supermarket4
🏪
Convenience1
💊
Pharmacy3
🌳
Park12
🏥
Hospital4
🍴
Dining2

Within walking distance

child_care

Childcare

Top 42%
Greater Tokyo · 65 pts
🧒Nurseries3
🏫Schools6
🌳Park12

For families: 3 nurseries/kindergartens, 6 schools, 12 parks nearby.

volume_off

Quiet

Top 6%
Greater Tokyo · 100 pts
Road noiseNone
Railway noiseNone
Night noiseNone

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

shield

Safety (crime data)

Top 46%
Greater Tokyo · 81 pts · 0.22 per 100 people/yr · 警視庁 2024年
CautionArea avgSafe
Snatching / Bike theft7

Violent crime (robbery, arson, etc.) was 0 in the latest year; most reports are theft (bicycle theft, shoplifting and the like). Annual counts per neighborhood from National Police Agency open data. Counts run higher where daytime foot traffic is heavy, so for a per-resident view see sonar's safety score (population-normalized).

warning

Disaster risk (hazard map)

1
floodFlood〜0.5m
tsunamiTsunamiNone
landslideLandslideNone
wavesStorm surgeNone
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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.