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Ķegums
City in Ogre, Latvia
Overview
Ķegums is a cozy town on the Daugava River, notable for its hydroelectric power station and relaxed, green streets. With a small population, it offers a tranquil atmosphere, tight-knit community, and easy access to Latvia's natural beauty.
Geographic Context
Jurisdiction
Latvia
Municipality
Ogre
Population
2,065
Time Zone
Europe/Riga
Coordinates
56.75°, 24.72°
Key Metrics
Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
55
Traffic Safety
85
Food Safety
90
Monthly Cost · estimate
$916
Local Cost
$518
Local Income
$800
Cashless
60
English
65
Temperature
5.9°C
Summer Avg
16.9°C
Winter Avg
-5.2°C
Record High
31.7°C
Record Low
-39.2°C
Humidity
88%
Precipitation
809 mm
Internet Speed
329 Mbps
Upload
46 Mbps
Latency
12 ms
City Vibrancy
2
Coworking
0
Cafes
1
Nightlife
0
Parks
1
Transport
100
Walk Score
100
Footways
224.0
Airport
RIX
Distance
50 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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