Gracht

City in Limburg, Netherlands

Overview

Gracht is a tranquil town in Limburg, Netherlands, known for its scenic canals, historic architecture, and welcoming local atmosphere. While small and off the beaten path, Gracht offers a peaceful, authentic Dutch experience with access to nature and culture.

Geographic Context

Jurisdiction
Netherlands
Province
Limburg
Population
—
Time Zone
Europe/Amsterdam
Coordinates
50.85°, 6.03°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
85
Traffic Safety
80
Food Safety
98
Monthly Cost · estimate
$1,970
Local Cost
$1,250
Local Income
$2,350
Cashless
85
English
85
Temperature
10.3°C
Summer Avg
18.4°C
Winter Avg
2.4°C
Record High
40.6°C
Record Low
-16.6°C
Humidity
81%
Precipitation
746 mm
Internet Speed
245 Mbps
Upload
97 Mbps
Latency
18 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
51
Walk Score
51
Footways
102.0
Airport
AAH
Distance
11 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 2 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.