Mancor de la Vall

City in Islas Baleares, Spain

Overview

Mancor de la Vall is a quiet village set in the foothills of Mallorca's Serra de Tramuntana. It offers authentic island charm, historic architecture, and close-knit community life, ideal for visitors seeking relaxation and nature.

Geographic Context

Jurisdiction
Spain
Province
Islas Baleares
Population
1,702
Time Zone
Europe/Madrid
Coordinates
39.75°, 2.87°

Key Metrics

Safety Score · estimate
88
Female Safety
85
LGBTQ+ Safety
80
Traffic Safety
85
Food Safety
92
Monthly Cost · estimate
$2,073
Local Cost
$1,305
Local Income
$1,350
Cashless
68
English
45
Temperature
18.4°C
Summer Avg
25.2°C
Winter Avg
12.5°C
Record High
34.6°C
Record Low
3.1°C
Humidity
74%
Precipitation
534 mm
Internet Speed
266 Mbps
Upload
140 Mbps
Latency
34 ms
City Vibrancy
8
Coworking
0
Cafes
5
Nightlife
0
Parks
3
Transport
12
Walk Score
12
Footways
23.0
Airport
PMI
Distance
25 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 6 tests. Record updated 2025-12-05.
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.