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IJsselstein
City in Utrecht, Netherlands
Overview
IJsselstein is a picturesque town in the Utrecht region, known for its medieval streets, charming canals, and welcoming atmosphere. Its historic city center blends Dutch tradition with contemporary amenities, making it a pleasant base for exploring central Netherlands.
Geographic Context
Jurisdiction
Netherlands
Province
Utrecht
Population
33,819
Time Zone
Europe/Amsterdam
Coordinates
52.02°, 5.04°
Key Metrics
Safety Score
93
Female Safety
92
LGBTQ+ Safety
90
Traffic Safety
87
Food Safety
99
Monthly Cost
$2,520
Local Cost
$1,565
Local Income
$2,750
Cashless
95
English
92
Temperature
10.2°C
Summer Avg
17.6°C
Winter Avg
3.0°C
Record High
35.8°C
Record Low
-16.5°C
Humidity
84%
Precipitation
800 mm
Internet Speed
226 Mbps
Upload
210 Mbps
Latency
6 ms
City Vibrancy
12
Coworking
0
Cafes
4
Nightlife
3
Parks
5
Transport
0
Walk Score
0
Footways
—
Airport
AMS
Distance
39 km
Explore
Neighborhoods
PartialCoverage is incomplete — additional neighborhoods are being added as more source data is processed.
Coverage is incomplete — more neighborhoods are being added.
View all 3 neighborhoodsFrequently Asked Questions
Data sources
Source-backed data
NASA POWER - Climate normals and monthly weather measurements rendered as city weather metrics. Updated 2026-03-22.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 59 tests. Updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Updated 2025-12-05.
Oyster List city price model - City price estimates calibrated from local price surveys and jurisdiction-level cost signals. Updated 2026-01-14.
Overture Maps and OpenStreetMap - 3 source-backed neighborhood entities are available for this city. Updated 2026-03-22.
Estimated data
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores are model-assisted estimates derived from source-backed country and city signals. Confidence 85/100.
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