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Bilhaur

City in Uttar Pradesh, India

Overview

Bilhaur is a small town set along the banks of the Ganges River in Uttar Pradesh, India. Known for its rich agricultural surroundings and traditional marketplaces, the city offers visitors a glimpse into rural North Indian life. Its heritage sites and proximity to the river give it a unique cultural and scenic charm.

Geographic Context

Jurisdiction
India
State
Uttar Pradesh
Population
19,333
Time Zone
Asia/Kolkata
Coordinates
26.84°, 80.06°

Key Metrics

Safety Score · estimate
45
Female Safety
35
LGBTQ+ Safety
30
Traffic Safety
30
Food Safety
40
Monthly Cost · estimate
$251
Local Cost
$156
Local Income
$75
Cashless
35
English
20
Temperature
26.1°C
Summer Avg
32.3°C
Winter Avg
16.6°C
Record High
49.3°C
Record Low
0.6°C
Humidity
48%
Precipitation
790 mm
Internet Speed
34 Mbps
Upload
10 Mbps
Latency
46 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0

Neighborhoods

Estimated

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Data sources

Source-backed data

World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 3 tests. Record updated 2025-12-06.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. 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: 48/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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