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Palampur
City in Himachal Pradesh, India
Overview
Palampur is a charming Himalayan town known for its lush tea gardens, fresh mountain air, and stunning views of the Dhauladhar range. Its small size makes it easy to explore, and its welcoming vibe draws visitors seeking both relaxation and adventure.
Geographic Context
Jurisdiction
India
State
Himachal Pradesh
Population
4,131
Time Zone
Asia/Kolkata
Coordinates
32.11°, 76.56°
Key Metrics
Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
40
Traffic Safety
55
Food Safety
70
Monthly Cost · estimate
$488
Local Cost
$200
Local Income
$180
Cashless
35
English
35
Temperature
20.1°C
Summer Avg
27.0°C
Winter Avg
11.3°C
Record High
41.6°C
Record Low
-1.4°C
Humidity
49%
Precipitation
1057 mm
Internet Speed
494 Mbps
Upload
356 Mbps
Latency
10 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
DHM
Distance
28 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 2025-12-07.
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 2026-03-22.
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.
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