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Ampang
City in Selangor, Malaysia
Overview
Ampang is a prominent suburb in Selangor adjacent to Kuala Lumpur, known for its blend of urban bustle and leafy neighborhoods. The area boasts a diverse population, lively food scene, and convenient access to city attractions.
Geographic Context
Jurisdiction
Malaysia
State
Selangor
Population
—
Time Zone
Asia/Kuala_Lumpur
Coordinates
3.15°, 101.77°
Key Metrics
Safety Score · estimate
60
Female Safety
60
LGBTQ+ Safety
30
Traffic Safety
40
Food Safety
80
Monthly Cost · estimate
$826
Local Cost
$477
Local Income
$900
Cashless
75
English
70
Temperature
25.5°C
Summer Avg
25.5°C
Winter Avg
24.8°C
Record High
34.4°C
Record Low
17.2°C
Humidity
87%
Precipitation
2520 mm
Internet Speed
228 Mbps
Upload
109 Mbps
Latency
6 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
25
Walk Score
25
Footways
49.0
Airport
SZB
Distance
24 km
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-06.
Estimates and unverified origins
Oyster List climate data - Climate origins are unverified. Available methods include historical APIs and AI estimates; stored rows do not identify the original dataset, reference period, or model for each value. Treat these summaries as estimates until independently verified. Record updated 2026-03-21.
Oyster List city price estimates - Price origins are unverified. Available generation methods include AI estimates; stored records do not identify a survey, observation period, or model for each price. Record updated 2026-01-14.
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores include model-assisted estimates. Stored records do not identify supporting observations for each score. Model-reported confidence: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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