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Aglona
City in Preiļi, Latvia
Overview
Aglona is a peaceful lakeside village in the heart of Latvia's Preiļi region, renowned for its stunning basilica and tranquil natural surroundings. Its small size fosters a strong sense of community and a relaxing escape from urban life.
Geographic Context
Jurisdiction
Latvia
Municipality
Preiļi
Population
791
Time Zone
Europe/Riga
Coordinates
56.13°, 27.01°
Key Metrics
Safety Score · estimate
75
Female Safety
70
LGBTQ+ Safety
45
Traffic Safety
65
Food Safety
80
Monthly Cost · estimate
$801
Local Cost
$442
Local Income
$700
Cashless
55
English
35
Temperature
5.6°C
Summer Avg
17.0°C
Winter Avg
-6.0°C
Record High
31.7°C
Record Low
-39.8°C
Humidity
88%
Precipitation
767 mm
Internet Speed
50 Mbps
Upload
18 Mbps
Latency
27 ms
City Vibrancy
3
Coworking
0
Cafes
3
Nightlife
0
Parks
0
Transport
46
Walk Score
46
Footways
92.0
Airport
—
Distance
—
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 2026-03-23.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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