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Garkalne
City in Ropaži, Latvia
Overview
Garkalne is a small suburban town located in the Ropaži region of Latvia, just northeast of Riga. Known for its peaceful rural charm, Garkalne offers easy access to nature, with rivers, forests, and local cultural experiences blending with quiet residential living.
Geographic Context
Jurisdiction
Latvia
Municipality
Ropaži
Population
2,139
Time Zone
Europe/Riga
Coordinates
57.04°, 24.42°
Key Metrics
Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
55
Traffic Safety
77
Food Safety
88
Monthly Cost · estimate
$1,430
Local Cost
$820
Local Income
$900
Cashless
80
English
55
Temperature
6.3°C
Summer Avg
16.9°C
Winter Avg
-4.0°C
Record High
29.6°C
Record Low
-32.8°C
Humidity
87%
Precipitation
764 mm
Internet Speed
21 Mbps
Upload
23 Mbps
Latency
2 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
30
Walk Score
30
Footways
60.0
Airport
RIX
Distance
30 km
Explore
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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