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Lohit District

City in Arunachal Pradesh, India

Overview

Lohit District, set in eastern Arunachal Pradesh, India, boasts lush valleys, rivers, and an impressive blend of tribal cultures. Its towns, including Tezu and Wakro, are gateways to pristine landscapes, tea gardens, and traditions untouched by mass tourism.

Geographic Context

Jurisdiction
India
State
Arunachal Pradesh
Population
145,726
Time Zone
Asia/Kolkata
Coordinates
27.84°, 96.20°

Key Metrics

Safety Score · estimate
65
Female Safety
50
LGBTQ+ Safety
35
Traffic Safety
45
Food Safety
50
Monthly Cost · estimate
$387
Local Cost
$207
Local Income
$130
Cashless
25
English
35
Temperature
17.9°C
Summer Avg
23.0°C
Winter Avg
11.6°C
Record High
39.7°C
Record Low
1.1°C
Humidity
71%
Precipitation
1982 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
TEI
Distance
13 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 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.

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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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