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Mount Waverley

City in Victoria, Australia

Overview

Mount Waverley is a peaceful and leafy suburb located in Melbourne's southeast, known for its excellent schools, friendly community vibe, and accessible parks. It offers a blend of residential tranquility, lively shopping villages, and an emerging culinary scene. With reliable public transport and proximity to the city, Mount Waverley is popular among families and professionals seeking a balanced suburban lifestyle.

Geographic Context

Jurisdiction
Australia
State
Victoria
Population
35,340
Time Zone
Australia/Sydney
Coordinates
-37.88°, 145.13°

Key Metrics

Safety Score
88
Female Safety
90
LGBTQ+ Safety
87
Traffic Safety
82
Food Safety
97
Monthly Cost
$2,695
Local Cost
$1,790
Local Income
$3,800
Cashless
97
English
100
Temperature
14.7°C
Summer Avg
19.3°C
Winter Avg
9.9°C
Record High
41.9°C
Record Low
1.0°C
Humidity
74%
Precipitation
715 mm
Internet Speed
197 Mbps
Upload
23 Mbps
Latency
15 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
MBW
Distance
12 km

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Neighborhoods

Estimated

Neighborhood highlights with vibe, safety, and cost profiles.

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Frequently Asked Questions

Data sources

Source-backed data

NASA POWER - Climate normals and monthly weather measurements rendered as city weather metrics. Updated 2026-03-22.
World Air Quality Index - Latest available city-level air quality station measurement. Updated 2025-12-05.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 59 tests. Updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Updated 2025-12-05.
Oyster List city price model - City price estimates calibrated from local price surveys and jurisdiction-level cost signals. Updated 2026-01-14.

Estimated data

Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores are model-assisted estimates derived from source-backed country and city signals. Confidence 82/100.

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