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Kankauli
City in Maharashtra, India
Overview
Kankauli is a peaceful town set in the Sindhudurg district of Maharashtra, surrounded by lush coconut groves and rich Konkan culture. Locals are friendly and the pace of life is relaxed, making it an ideal base for exploring the region's hidden beaches and temples.
Geographic Context
Jurisdiction
India
State
Maharashtra
Population
—
Time Zone
Asia/Kolkata
Coordinates
16.27°, 73.71°
Key Metrics
Safety Score · estimate
65
Female Safety
55
LGBTQ+ Safety
30
Traffic Safety
55
Food Safety
60
Monthly Cost · estimate
$288
Local Cost
$138
Local Income
$180
Cashless
30
English
30
Temperature
26.1°C
Summer Avg
25.5°C
Winter Avg
24.8°C
Record High
43.7°C
Record Low
12.0°C
Humidity
70%
Precipitation
2254 mm
Internet Speed
22 Mbps
Upload
21 Mbps
Latency
27 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
SDW
Distance
35 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: 38/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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