Malavalli
City in Karnataka, India
Overview
Malavalli is a small, welcoming town in Karnataka, known for its proximity to historic temples and scenic countryside. It is a convenient base for exploring the region's cultural and natural attractions while showcasing genuine local life.
Geographic Context
Jurisdiction
India
State
Karnataka
Population
38,129
Time Zone
Asia/Kolkata
Coordinates
12.39°, 77.06°
Key Metrics
Safety Score · estimate
60
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
50
Monthly Cost · estimate
$328
Local Cost
$173
Local Income
$170
Cashless
30
English
20
Temperature
24.5°C
Summer Avg
23.9°C
Winter Avg
23.1°C
Record High
41.4°C
Record Low
9.3°C
Humidity
68%
Precipitation
883 mm
Internet Speed
45 Mbps
Upload
83 Mbps
Latency
13 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
MYQ
Distance
48 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 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.