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Toa Payoh
City in Central Singapore, Singapore
Overview
Toa Payoh is a lively residential town in Central Singapore, known for its rich history, distinctive architecture, and excellent public amenities. The district offers a blend of local culture, delicious hawker fare, and lush parks, making it popular among families and visitors seeking an authentic Singaporean experience.
Geographic Context
Jurisdiction
Singapore
District
Central Singapore
Population
120,650
Time Zone
Asia/Singapore
Coordinates
1.34°, 103.85°
Key Metrics
Safety Score · estimate
95
Female Safety
92
LGBTQ+ Safety
70
Traffic Safety
88
Food Safety
98
Monthly Cost · estimate
$2,436
Local Cost
$1,790
Local Income
$3,100
Cashless
98
English
95
Temperature
27.0°C
Summer Avg
27.3°C
Winter Avg
26.1°C
Record High
33.9°C
Record Low
20.8°C
Humidity
85%
Precipitation
2367 mm
Internet Speed
377 Mbps
Upload
303 Mbps
Latency
8 ms
City Vibrancy
138
Coworking
1
Cafes
86
Nightlife
12
Parks
39
Transport
0
Walk Score
0
Footways
—
Airport
QPG
Distance
7 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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 2026-03-22.
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: 92/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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