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Vadhana
City in Bangkok, Thailand
Overview
Vadhana is an energetic and diverse district in central Bangkok, comprising sought-after neighborhoods like Thonglor and Ekkamai. The area is renowned for its mix of upscale living, global dining, lively nightlife, and pockets of tranquil green space. Expats and locals alike flock here for its cosmopolitan flair and easy connectivity.
Geographic Context
Jurisdiction
Thailand
Metropolitan Administration
Bangkok
Population
—
Time Zone
Asia/Bangkok
Coordinates
13.74°, 100.58°
Key Metrics
Safety Score · estimate
65
Female Safety
63
LGBTQ+ Safety
60
Traffic Safety
40
Food Safety
68
Monthly Cost · estimate
$1,242
Local Cost
$590
Local Income
$750
Cashless
62
English
59
Temperature
28.0°C
Summer Avg
28.3°C
Winter Avg
26.9°C
Record High
39.6°C
Record Low
13.6°C
Humidity
76%
Precipitation
1302 mm
Internet Speed
288 Mbps
Upload
235 Mbps
Latency
6 ms
City Vibrancy
285
Coworking
6
Cafes
171
Nightlife
99
Parks
9
Transport
16
Walk Score
16
Footways
31.0
Airport
BKK
Distance
19 km
Explore
Data sources
Source-backed data
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: 80/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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