Rionegro del Puente

City in Zamora, Spain

Overview

Rionegro del Puente is a small, picturesque village set in the province of Zamora, Spain. Renowned for its remarkable historic architecture and serene riverside setting, the city offers a peaceful taste of traditional Castillian life.

Geographic Context

Jurisdiction
Spain
Province
Zamora
Population
234
Time Zone
Europe/Madrid
Coordinates
42.00°, -6.23°

Key Metrics

Safety Score · estimate
85
Female Safety
90
LGBTQ+ Safety
70
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,275
Local Cost
$840
Local Income
$1,050
Cashless
35
English
30
Temperature
11.1°C
Summer Avg
19.8°C
Winter Avg
3.4°C
Record High
37.8°C
Record Low
-8.9°C
Humidity
72%
Precipitation
549 mm
Internet Speed
18 Mbps
Upload
2 Mbps
Latency
42 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
2
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
BGC
Distance
43 km

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Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 2 tests. Record updated 2025-12-06.
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 2026-03-23.
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.