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Naldhara
City in Gujarat, India
Overview
Naldhara is a small yet lively city in Gujarat, India, known for its friendly community atmosphere and a blend of traditional and modern culture. While relatively off the beaten path, it offers visitors authentic markets, green spaces, and glimpses into local life.
Geographic Context
Jurisdiction
India
State
Gujarat
Population
—
Time Zone
Asia/Kolkata
Coordinates
20.97°, 73.17°
Key Metrics
Safety Score · estimate
40
Female Safety
35
LGBTQ+ Safety
25
Traffic Safety
30
Food Safety
45
Monthly Cost · estimate
$419
Local Cost
$196
Local Income
$60
Cashless
15
English
20
Temperature
27.3°C
Summer Avg
28.0°C
Winter Avg
24.0°C
Record High
46.3°C
Record Low
7.8°C
Humidity
60%
Precipitation
1695 mm
Internet Speed
21 Mbps
Upload
30 Mbps
Latency
10 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
STV
Distance
47 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: 25/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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