Billinge

City in St Helens, United Kingdom

Overview

Billinge is a charming village located within St Helens, United Kingdom, blending rural character with historical roots. It's known for its picturesque green spaces, village pubs, and community atmosphere.

Geographic Context

Jurisdiction
United Kingdom
Metropolitan District
St Helens
Population
5,896
Time Zone
Europe/London
Coordinates
53.50°, -2.71°

Key Metrics

Safety Score · estimate
82
Female Safety
75
LGBTQ+ Safety
70
Traffic Safety
85
Food Safety
96
Monthly Cost · estimate
$2,065
Local Cost
$1,350
Local Income
$2,200
Cashless
88
English
99
Temperature
9.1°C
Summer Avg
14.8°C
Winter Avg
3.8°C
Record High
28.0°C
Record Low
-7.6°C
Humidity
89%
Precipitation
1001 mm
Internet Speed
188 Mbps
Upload
36 Mbps
Latency
16 ms
City Vibrancy
14
Coworking
0
Cafes
1
Nightlife
10
Parks
3
Transport
18
Walk Score
18
Footways
35.0
Airport
LPL
Distance
20 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 28 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.