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Baramula

City in Jammu and Kashmir, India

Overview

Baramula, set on the banks of the Jhelum river in Jammu and Kashmir, is known for its scenic beauty and rich history dating back to ancient times. It is a gateway to the stunning Kashmir valley, blending traditional charm with picturesque landscapes.

Geographic Context

Jurisdiction
India
Union Territory
Jammu and Kashmir
Population
—
Time Zone
Asia/Kolkata
Coordinates
34.19°, 74.37°

Key Metrics

Safety Score · estimate
35
Female Safety
25
LGBTQ+ Safety
20
Traffic Safety
50
Food Safety
60
Monthly Cost · estimate
$420
Local Cost
$170
Local Income
$180
Cashless
35
English
30
Temperature
11.3°C
Summer Avg
20.2°C
Winter Avg
1.4°C
Record High
34.5°C
Record Low
-18.2°C
Humidity
56%
Precipitation
806 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
SXR
Distance
44 km

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 2026-03-22.
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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