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Sangameshwar
City in Maharashtra, India
Overview
Sangameshwar is a tranquil town in the Ratnagiri district of Maharashtra, set at the confluence of the Sonavi and Shastri rivers. It is known for its lush greenery, ancient temples, and scenic beauty, making it perfect for cultural travelers and nature enthusiasts.
Geographic Context
Jurisdiction
India
State
Maharashtra
Population
—
Time Zone
Asia/Kolkata
Coordinates
17.19°, 73.55°
Key Metrics
Safety Score · estimate
60
Female Safety
45
LGBTQ+ Safety
30
Traffic Safety
40
Food Safety
55
Monthly Cost · estimate
$332
Local Cost
$190
Local Income
$110
Cashless
20
English
30
Temperature
25.5°C
Summer Avg
25.0°C
Winter Avg
23.9°C
Record High
44.2°C
Record Low
10.2°C
Humidity
69%
Precipitation
2108 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
RTC
Distance
31 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 2026-03-23.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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