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Séméac
City in Occitanie, France
Overview
Séméac is a serene commune in the Hautes-Pyrénées, set within the Occitanie region of southwestern France. With its peaceful ambiance, local character, and proximity to Tarbes, Séméac offers an authentic small-town French experience surrounded by greenery and history.
Geographic Context
Jurisdiction
France
Metropolitan Region
Occitanie
Population
5,202
Time Zone
Europe/Paris
Coordinates
43.23°, 0.11°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
70
Traffic Safety
80
Food Safety
97
Monthly Cost · estimate
$1,752
Local Cost
$1,080
Local Income
$2,050
Cashless
65
English
35
Temperature
9.7°C
Summer Avg
17.5°C
Winter Avg
2.3°C
Record High
35.8°C
Record Low
-17.2°C
Humidity
78%
Precipitation
871 mm
City Vibrancy
14
Coworking
0
Cafes
5
Nightlife
1
Parks
8
Transport
100
Walk Score
100
Footways
263.0
Airport
LDE
Distance
10 km
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
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: 67/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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