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Capelle aan den IJssel
City in South Holland, Netherlands
Overview
Capelle aan den IJssel is a commuter town located just east of Rotterdam, offering a blend of residential comfort and urban convenience. It's known for green spaces, easy river access, and modern shopping areas. The city caters to families, professionals, and those looking for peaceful living near a major metropolitan hub.
Geographic Context
Jurisdiction
Netherlands
Province
South Holland
Population
67,319
Time Zone
Europe/Amsterdam
Coordinates
51.93°, 4.58°
Key Metrics
Safety Score · estimate
90
Female Safety
88
LGBTQ+ Safety
92
Traffic Safety
85
Food Safety
98
Monthly Cost · estimate
$2,572
Local Cost
$1,610
Local Income
$2,700
Cashless
97
English
95
Temperature
10.7°C
Summer Avg
17.4°C
Winter Avg
4.2°C
Record High
33.5°C
Record Low
-11.1°C
Humidity
84%
Precipitation
834 mm
Internet Speed
255 Mbps
Upload
62 Mbps
Latency
17 ms
City Vibrancy
10
Coworking
0
Cafes
4
Nightlife
0
Parks
6
Transport
0
Walk Score
0
Footways
—
Airport
RTM
Distance
10 km
Explore
Data 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 2025-12-05.
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: 87/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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