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Carnicães

City in Guarda, Portugal

Overview

Carnicães is a small, tranquil village in the Guarda region of Portugal, offering visitors a glimpse of authentic rural life. Its charming streets, friendly locals, and relaxed pace make it an ideal destination for those seeking rest and tradition.

Geographic Context

Jurisdiction
Portugal
District
Guarda
Population
—
Time Zone
Europe/Lisbon
Coordinates
40.73°, -7.32°

Key Metrics

Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
55
Traffic Safety
75
Food Safety
90
Monthly Cost · estimate
$1,090
Local Cost
$678
Local Income
$950
Cashless
45
English
30
Temperature
12.8°C
Summer Avg
20.7°C
Winter Avg
5.5°C
Record High
39.5°C
Record Low
-6.8°C
Humidity
72%
Precipitation
1051 mm
Internet Speed
13 Mbps
Upload
6 Mbps
Latency
31 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
1
Walk Score
1
Footways
2.0
Airport
VSE
Distance
48 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Record updated 2025-12-05.
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 2026-03-22.
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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