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Warmbaths

City in Limpopo, South Africa

Overview

Warmbaths, officially known as Bela-Bela, is a South African town famed for its natural hot mineral springs and spa resorts. Set in Limpopo, it combines small-town charm with a resort atmosphere, making it ideal for families, retirees, and relaxation seekers.

Geographic Context

Jurisdiction
South Africa
Province
Limpopo
Population
90,210
Time Zone
Africa/Johannesburg
Coordinates
-24.88°, 28.28°

Key Metrics

Safety Score · estimate
45
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
50
Food Safety
65
Monthly Cost · estimate
$1,018
Local Cost
$550
Local Income
$330
Cashless
50
English
70
Temperature
20.4°C
Summer Avg
24.8°C
Winter Avg
14.3°C
Record High
41.4°C
Record Low
-4.0°C
Humidity
49%
Precipitation
501 mm
Internet Speed
42 Mbps
Upload
36 Mbps
Latency
5 ms
City Vibrancy
3
Coworking
0
Cafes
1
Nightlife
0
Parks
2
Transport
6
Walk Score
6
Footways
11.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 15 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 2025-12-06.

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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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