Carlet
City in Valencia, Spain
Overview
Carlet is a charming small city in the heart of Valencia's fruit-growing region, known for its historic center and lively local markets. Visitors will enjoy its blend of tradition, family-oriented living, and close proximity to nature.
Geographic Context
Jurisdiction
Spain
Province
Valencia
Population
16,428
Time Zone
Europe/Madrid
Coordinates
39.23°, -0.52°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
75
Traffic Safety
75
Food Safety
95
Monthly Cost · estimate
$1,481
Local Cost
$929
Local Income
$1,350
Cashless
60
English
35
Temperature
16.1°C
Summer Avg
25.2°C
Winter Avg
7.9°C
Record High
42.7°C
Record Low
-6.7°C
Humidity
64%
Precipitation
358 mm
Internet Speed
215 Mbps
Upload
169 Mbps
Latency
20 ms
City Vibrancy
32
Coworking
0
Cafes
1
Nightlife
10
Parks
21
Transport
100
Walk Score
100
Footways
363.0
Airport
VLC
Distance
29 km
Explore
Neighborhoods
EstimatedNeighborhood highlights with vibe, safety, and cost profiles.
View featured neighborhoodsData sources
Source-backed data
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.