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Alberton
City in Gauteng, South Africa
Overview
Alberton is a lively city on the southern edge of Johannesburg in Gauteng, South Africa, blending suburban comfort with convenient urban amenities. Known for its family-friendly neighborhoods and a range of shopping, dining, and recreational options, it offers a relaxed pace yet easy access to the buzzing metropolis nearby.
Geographic Context
Jurisdiction
South Africa
Province
Gauteng
Population
121,536
Time Zone
Africa/Johannesburg
Coordinates
-26.27°, 28.12°
Key Metrics
Safety Score · estimate
35
Female Safety
40
LGBTQ+ Safety
45
Traffic Safety
40
Food Safety
70
Monthly Cost · estimate
$1,048
Local Cost
$570
Local Income
$820
Cashless
65
English
85
Temperature
17.1°C
Summer Avg
21.7°C
Winter Avg
10.6°C
Record High
39.4°C
Record Low
-5.7°C
Humidity
54%
Precipitation
586 mm
Internet Speed
44 Mbps
Upload
26 Mbps
Latency
24 ms
City Vibrancy
19
Coworking
0
Cafes
0
Nightlife
1
Parks
18
Transport
0
Walk Score
0
Footways
—
Airport
QRA
Distance
4 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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 2026-03-21.
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: 78/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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