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Srŏk Kulén

City in Preah Vihear, Cambodia

Overview

Srŏk Kulén, in Cambodia's Preah Vihear province, is a peaceful district known for its ancient temples, rural villages, and scenic landscapes. While few tourists venture here, the area offers authentic Khmer culture and easy access to remarkable archaeological sites.

Geographic Context

Jurisdiction
Cambodia
Province
Preah Vihear
Population
—
Time Zone
Asia/Phnom_Penh
Coordinates
13.79°, 104.61°

Key Metrics

Safety Score · estimate
50
Female Safety
45
LGBTQ+ Safety
25
Traffic Safety
35
Food Safety
40
Monthly Cost · estimate
$460
Local Cost
$190
Local Income
$120
Cashless
15
English
20
Temperature
27.1°C
Summer Avg
26.8°C
Winter Avg
26.2°C
Record High
43.9°C
Record Low
11.2°C
Humidity
73%
Precipitation
1325 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
OMY
Distance
39 km

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 2026-03-22.
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: 38/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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