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Srŏk Môndôl Seima
City in Koh Kong, Cambodia
Overview
Srŏk Môndôl Seima is a district in the Koh Kong province of Cambodia, known for its lush landscapes, peaceful rural charm, and proximity to the Cardamom Mountains. While off the typical tourist trail, it offers authentic Cambodian life and scenic river views.
Geographic Context
Jurisdiction
Cambodia
Province
Koh Kong
Population
—
Time Zone
Asia/Phnom_Penh
Coordinates
11.81°, 103.01°
Key Metrics
Safety Score · estimate
54
Female Safety
50
LGBTQ+ Safety
36
Traffic Safety
44
Food Safety
45
Monthly Cost · estimate
$508
Local Cost
$212
Local Income
$160
Cashless
25
English
22
Temperature
24.2°C
Summer Avg
24.3°C
Winter Avg
23.1°C
Record High
35.2°C
Record Low
12.3°C
Humidity
86%
Precipitation
3316 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
KKZ
Distance
22 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: 43/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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