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Nanjangud
City in Karnataka, India
Overview
Nanjangud, set on the banks of the Kapila River in Karnataka, is famed for the Srikanteshwara Temple and its rich cultural traditions. The city offers a lively local atmosphere, affordable living, and authentic South Indian cuisine.
Geographic Context
Jurisdiction
India
State
Karnataka
Population
50,598
Time Zone
Asia/Kolkata
Coordinates
12.12°, 76.68°
Key Metrics
Safety Score · estimate
65
Female Safety
55
LGBTQ+ Safety
35
Traffic Safety
50
Food Safety
50
Monthly Cost · estimate
$404
Local Cost
$203
Local Income
$220
Cashless
60
English
40
Temperature
23.9°C
Summer Avg
23.3°C
Winter Avg
22.5°C
Record High
40.7°C
Record Low
10.5°C
Humidity
70%
Precipitation
886 mm
Internet Speed
93 Mbps
Upload
91 Mbps
Latency
16 ms
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
MYQ
Distance
13 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.
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