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Bang Phae

City in Ratchaburi, Thailand

Overview

Bang Phae is a small, traditional district in Ratchaburi, Thailand, famed for its agricultural produce and authentic rural charm. Visitors are drawn to its peaceful pace of life, welcoming community, and proximity to local markets and natural attractions.

Geographic Context

Jurisdiction
Thailand
Province
Ratchaburi
Population
16,130
Time Zone
Asia/Bangkok
Coordinates
13.69°, 99.93°

Key Metrics

Safety Score · estimate
75
Female Safety
70
LGBTQ+ Safety
48
Traffic Safety
60
Food Safety
70
Monthly Cost · estimate
$543
Local Cost
$220
Local Income
$330
Cashless
35
English
30
Temperature
27.9°C
Summer Avg
28.4°C
Winter Avg
26.4°C
Record High
41.8°C
Record Low
11.8°C
Humidity
73%
Precipitation
1147 mm
Internet Speed
303 Mbps
Upload
256 Mbps
Latency
5 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
KDT
Distance
46 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 31 tests. Record updated 2025-12-05.
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 2025-12-06.

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 2026-03-22.
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: 64/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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