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Montescourt-Lizerolles

City in Hauts-de-France, France

Overview

Montescourt-Lizerolles is a small, tranquil village in the Hauts-de-France region, known for its historic charm, rural landscapes, and welcoming community. It's an excellent destination for travelers seeking an authentic slice of French village life away from the crowds.

Geographic Context

Jurisdiction
France
Metropolitan Region
Hauts-de-France
Population
1,543
Time Zone
Europe/Paris
Coordinates
49.74°, 3.26°

Key Metrics

Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
70
Traffic Safety
75
Food Safety
95
Monthly Cost · estimate
$1,563
Local Cost
$950
Local Income
$1,700
Cashless
55
English
25
Temperature
10.4°C
Summer Avg
17.9°C
Winter Avg
3.0°C
Record High
37.9°C
Record Low
-12.9°C
Humidity
83%
Precipitation
706 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
28
Walk Score
28
Footways
56.0
Airport
BYF
Distance
48 km

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 2025-12-08.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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