Hoyland Nether
City in Barnsley, United Kingdom
Overview
Hoyland Nether is a semi-rural area in Barnsley, South Yorkshire, blending small-town charm with the heritage sites of the region. Its neighborhoods offer a peaceful lifestyle with convenient transport links to nearby urban centres. Visitors can enjoy local pubs, historic parks, and the renowned Elsecar Heritage Centre.
Geographic Context
Jurisdiction
United Kingdom
Metropolitan District
Barnsley
Population
—
Time Zone
Europe/London
Coordinates
53.50°, -1.45°
Key Metrics
Safety Score · estimate
68
Female Safety
70
LGBTQ+ Safety
75
Traffic Safety
72
Food Safety
95
Monthly Cost · estimate
$2,025
Local Cost
$1,270
Local Income
$2,200
Cashless
90
English
100
Temperature
9.3°C
Summer Avg
15.4°C
Winter Avg
3.6°C
Record High
31.3°C
Record Low
-8.8°C
Humidity
86%
Precipitation
738 mm
Internet Speed
198 Mbps
Upload
37 Mbps
Latency
17 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
65
Walk Score
65
Footways
129.0
Airport
LBA
Distance
43 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 2026-03-22.
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.