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Delph
City in Oldham, United Kingdom
Overview
Delph is a picturesque village set in the Saddleworth area of Oldham, renowned for its historic charm, stone cottages, and easy access to the Pennines' rolling landscape. Despite its small size, Delph is a welcoming and culturally rich destination with a friendly local community and scenic walking routes.
Geographic Context
Jurisdiction
United Kingdom
Metropolitan District
Oldham
Population
1,899
Time Zone
Europe/London
Coordinates
53.57°, -2.02°
Key Metrics
Safety Score · estimate
93
Female Safety
90
LGBTQ+ Safety
85
Traffic Safety
95
Food Safety
98
Monthly Cost · estimate
$2,275
Local Cost
$1,440
Local Income
$2,200
Cashless
80
English
100
Temperature
8.7°C
Summer Avg
14.6°C
Winter Avg
3.2°C
Record High
29.7°C
Record Low
-8.4°C
Humidity
89%
Precipitation
959 mm
Internet Speed
2 Mbps
Upload
0 Mbps
Latency
120 ms
City Vibrancy
19
Coworking
0
Cafes
4
Nightlife
10
Parks
5
Transport
24
Walk Score
24
Footways
48.0
Airport
MAN
Distance
30 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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