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Kaysone Phomvihane
City in Savannakhet, Laos
Overview
Kaysone Phomvihane is a modest city in southern Laos, known for its relaxed pace, Mekong riverside views, and blend of Lao and colonial heritage. It serves as the commercial heartbeat of Savannakhet Province and is a crossroad for travelers between Laos, Thailand, and Vietnam.
Geographic Context
Jurisdiction
Laos
Province
Savannakhet
Population
—
Time Zone
Asia/Vientiane
Coordinates
16.55°, 104.82°
Key Metrics
Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
30
Traffic Safety
50
Food Safety
40
Monthly Cost · estimate
$470
Local Cost
$242
Local Income
$200
Cashless
15
English
20
Temperature
26.2°C
Summer Avg
27.0°C
Winter Avg
23.1°C
Record High
43.3°C
Record Low
8.2°C
Humidity
74%
Precipitation
1226 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
ZVK
Distance
7 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 2026-03-22.
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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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