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Yong Peng

City in Johor, Malaysia

Overview

Yong Peng is a charming small town in Johor, well-known as a stopover for travelers heading north or south and famed for its traditional Chinese cuisine, local temples, and peaceful atmosphere. Its blend of rural landscapes and lively town center offers a glimpse into Malaysia's multicultural heritage.

Geographic Context

Jurisdiction
Malaysia
State
Johor
Population
27,138
Time Zone
Asia/Kuala_Lumpur
Coordinates
2.01°, 103.07°

Key Metrics

Safety Score
68
Female Safety
60
LGBTQ+ Safety
35
Traffic Safety
62
Food Safety
75
Monthly Cost
$492
Local Cost
$250
Local Income
$400
Cashless
45
English
50
Temperature
26.6°C
Summer Avg
26.8°C
Winter Avg
25.7°C
Record High
36.1°C
Record Low
19.1°C
Humidity
86%
Precipitation
2299 mm
Internet Speed
154 Mbps
Upload
62 Mbps
Latency
9 ms
City Vibrancy
2
Coworking
0
Cafes
2
Nightlife
0
Parks
0

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Cost of Living
Prices & expenses
Weather & Climate
Temperature & conditions
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Neighborhoods
4 areas mapped
City Guide
Tips & insights

Neighborhoods

Partial

Coverage is incomplete — additional neighborhoods are being added as more source data is processed.

Coverage is incomplete — more neighborhoods are being added.

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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 50 tests. Updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Updated 2025-12-06.
Oyster List city price model - City price estimates calibrated from local price surveys and jurisdiction-level cost signals. Updated 2026-01-14.
Overture Maps and OpenStreetMap - 4 source-backed neighborhood entities are available for this city. Updated 2026-04-05.

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 60/100.

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