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Chavakali
City in Vihiga, Kenya
Overview
Chavakali is a lively market town in Vihiga County, western Kenya, serving as a regional hub for transport and commerce. The town's welcoming atmosphere and blend of rural and urban living make it ideal for visitors seeking an authentic Kenyan experience.
Geographic Context
Jurisdiction
Kenya
County
Vihiga
Population
—
Time Zone
Africa/Nairobi
Coordinates
0.12°, 34.70°
Key Metrics
Safety Score · estimate
60
Female Safety
50
LGBTQ+ Safety
30
Traffic Safety
40
Food Safety
50
Monthly Cost · estimate
$345
Local Cost
$172
Local Income
$180
Cashless
40
English
60
Temperature
20.5°C
Summer Avg
19.5°C
Winter Avg
21.0°C
Record High
34.4°C
Record Low
10.8°C
Humidity
71%
Precipitation
2009 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
GGM
Distance
20 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: 35/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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