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Tarm

City in Central Denmark, Denmark

Overview

Tarm is a small, friendly town set in Central Denmark, offering a laid-back atmosphere and close-knit community feel. Known for its charming center, access to nature, and authentic Danish life, it's a perfect base for exploring the Ringkøbing-Skjern region.

Geographic Context

Jurisdiction
Denmark
Region
Central Denmark
Population
4,010
Time Zone
Europe/Copenhagen
Coordinates
55.91°, 8.53°

Key Metrics

Safety Score · estimate
95
Female Safety
90
LGBTQ+ Safety
85
Traffic Safety
92
Food Safety
97
Monthly Cost · estimate
$2,210
Local Cost
$1,290
Local Income
$2,700
Cashless
98
English
88
Temperature
8.6°C
Summer Avg
15.8°C
Winter Avg
1.8°C
Record High
28.5°C
Record Low
-14.4°C
Humidity
88%
Precipitation
887 mm
Internet Speed
357 Mbps
Upload
332 Mbps
Latency
8 ms
City Vibrancy
5
Coworking
0
Cafes
2
Nightlife
1
Parks
2
Transport
78
Walk Score
78
Footways
156.0
Airport
STA
Distance
14 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 3 tests. 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: 78/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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