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Saitlaw
City in Mizoram, India
Overview
Saitlaw is a serene town set amidst the rolling hills of Mizoram, India, noted for its welcoming community and scenic beauty. Visitors can enjoy authentic Mizo hospitality, local markets, and access to relaxing nature trails. While still off the major tourist track, Saitlaw promises a peaceful and unique rural experience.
Geographic Context
Jurisdiction
India
State
Mizoram
Population
—
Time Zone
Asia/Kolkata
Coordinates
23.97°, 92.57°
Key Metrics
Safety Score · estimate
68
Female Safety
63
LGBTQ+ Safety
53
Traffic Safety
55
Food Safety
40
Monthly Cost · estimate
$457
Local Cost
$231
Local Income
$95
Cashless
18
English
32
Temperature
23.6°C
Summer Avg
26.5°C
Winter Avg
18.4°C
Record High
38.6°C
Record Low
6.0°C
Humidity
77%
Precipitation
2193 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
AJL
Distance
15 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: 34/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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