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Banks
City in Blackpool, United Kingdom
Overview
Banks is a small, peaceful village within the broader Blackpool region in the United Kingdom, blending quaint rural charm with easy access to the Lancashire coast. The area is known for its friendly community, rich countryside, and proximity to larger towns while retaining its own identity.
Geographic Context
Jurisdiction
United Kingdom
Unitary Authority
Blackpool
Population
—
Time Zone
Europe/London
Coordinates
53.68°, -2.92°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
68
Traffic Safety
82
Food Safety
98
Monthly Cost · estimate
$2,130
Local Cost
$1,440
Local Income
$2,400
Cashless
82
English
100
Temperature
9.9°C
Summer Avg
15.2°C
Winter Avg
5.1°C
Record High
26.1°C
Record Low
-4.7°C
Humidity
87%
Precipitation
979 mm
Internet Speed
40 Mbps
Upload
15 Mbps
Latency
14 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
9
Walk Score
9
Footways
17.0
Airport
WRT
Distance
7 km
Explore
Data sources
Source-backed data
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 2026-03-23.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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