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Mau
City in Uttar Pradesh, India
Overview
Mau is a small city in eastern Uttar Pradesh, known for its lively textile markets and rich local culture. Its compact size makes it easy to navigate and experience the authentic north Indian way of life. The city offers a blend of traditional heritage and modern amenities in a welcoming atmosphere.
Geographic Context
Jurisdiction
India
State
Uttar Pradesh
Population
20,147
Time Zone
Asia/Kolkata
Coordinates
26.03°, 83.51°
Key Metrics
Safety Score · estimate
50
Female Safety
40
LGBTQ+ Safety
30
Traffic Safety
35
Food Safety
40
Monthly Cost · estimate
$392
Local Cost
$202
Local Income
$120
Cashless
30
English
25
Temperature
26.1°C
Summer Avg
31.5°C
Winter Avg
17.1°C
Record High
48.4°C
Record Low
1.5°C
Humidity
55%
Precipitation
952 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
AZH
Distance
42 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 2025-12-06.
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: 35/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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