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Moranha
City in Assam, India
Overview
Moranha is a small but lively town in Assam, India, serving as a gateway to the scenic tea estates and rural landscapes of Upper Assam. The city blends local Assamese culture with daily commercial life, offering an authentic northeast Indian experience.
Geographic Context
Jurisdiction
India
State
Assam
Population
—
Time Zone
Asia/Kolkata
Coordinates
27.19°, 94.92°
Key Metrics
Safety Score · estimate
65
Female Safety
55
LGBTQ+ Safety
30
Traffic Safety
45
Food Safety
50
Monthly Cost · estimate
$349
Local Cost
$178
Local Income
$160
Cashless
40
English
35
Temperature
23.6°C
Summer Avg
28.4°C
Winter Avg
17.2°C
Record High
42.6°C
Record Low
4.9°C
Humidity
73%
Precipitation
1981 mm
Internet Speed
35 Mbps
Upload
46 Mbps
Latency
50 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
DIB
Distance
34 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 2026-03-22.
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: 30/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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