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Smārde
City in Tukums, Latvia
Overview
Smārde is a charming rural village in the Tukums region of Latvia, known for its tranquil atmosphere and traditional Latvian countryside. With less than 600 residents, it offers a peaceful retreat and a taste of authentic village life not far from the Baltic coast.
Geographic Context
Jurisdiction
Latvia
Municipality
Tukums
Population
594
Time Zone
Europe/Riga
Coordinates
56.95°, 23.34°
Key Metrics
Safety Score · estimate
88
Female Safety
82
LGBTQ+ Safety
60
Traffic Safety
80
Food Safety
93
Monthly Cost · estimate
$898
Local Cost
$550
Local Income
$800
Cashless
60
English
45
Temperature
6.7°C
Summer Avg
17.0°C
Winter Avg
-3.0°C
Record High
30.1°C
Record Low
-27.2°C
Humidity
86%
Precipitation
657 mm
Internet Speed
28 Mbps
Upload
7 Mbps
Latency
30 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
37
Walk Score
37
Footways
73.0
Airport
RIX
Distance
39 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 2026-03-23.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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