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Nigel

City in Gauteng, South Africa

Overview

Nigel is a mid-sized industrial and residential city in Gauteng, South Africa, known for its mining history and warm community atmosphere. With its blend of quiet neighborhoods and a busy central district, it offers an authentic South African suburban experience.

Geographic Context

Jurisdiction
South Africa
Province
Gauteng
Population
140,644
Time Zone
Africa/Johannesburg
Coordinates
-26.43°, 28.48°

Key Metrics

Safety Score · estimate
38
Female Safety
40
LGBTQ+ Safety
45
Traffic Safety
40
Food Safety
55
Monthly Cost · estimate
$988
Local Cost
$548
Local Income
$420
Cashless
50
English
85
Temperature
16.3°C
Summer Avg
20.8°C
Winter Avg
10.1°C
Record High
38.9°C
Record Low
-6.1°C
Humidity
57%
Precipitation
618 mm
Internet Speed
62 Mbps
Upload
52 Mbps
Latency
10 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
QRA
Distance
39 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 47 tests. Record updated 2025-12-05.
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 2026-03-22.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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