Nannilam

City in Tamil Nadu, India

Overview

Nannilam is a small, charming town in Tamil Nadu, known for its temples, scenic river views, and welcoming community. It offers an authentic experience of rural South India with busy markets and tranquil surroundings. The pace is slow, making it ideal for a relaxed, cultural visit.

Geographic Context

Jurisdiction
India
State
Tamil Nadu
Population
12,618
Time Zone
Asia/Kolkata
Coordinates
10.88°, 79.61°

Key Metrics

Safety Score · estimate
75
Female Safety
60
LGBTQ+ Safety
40
Traffic Safety
60
Food Safety
40
Monthly Cost · estimate
$278
Local Cost
$140
Local Income
$120
Cashless
35
English
45
Temperature
28.2°C
Summer Avg
30.2°C
Winter Avg
24.9°C
Record High
42.5°C
Record Low
16.3°C
Humidity
71%
Precipitation
1011 mm
Internet Speed
49 Mbps
Upload
37 Mbps
Latency
19 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0

Neighborhoods

Estimated

Neighborhood highlights with vibe, safety, and cost profiles.

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Data sources

Source-backed data

World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.

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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.