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Podnov’ye
City in Nizhny Novgorod, Russia
Overview
Podnov'ye is a small settlement in the Nizhny Novgorod region, offering a glimpse into rural Russian life while being conveniently close to the region's main city. Its friendly neighborhoods, traditional markets, and green spaces make it a peaceful alternative to large urban centers.
Geographic Context
Jurisdiction
Russia
Administrative Region
Nizhny Novgorod
Population
—
Time Zone
Europe/Moscow
Coordinates
56.31°, 44.09°
Key Metrics
Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
20
Traffic Safety
60
Food Safety
75
Monthly Cost · estimate
$987
Local Cost
$550
Local Income
$320
Cashless
45
English
20
Temperature
3.6°C
Summer Avg
17.8°C
Winter Avg
-11.2°C
Record High
35.3°C
Record Low
-41.9°C
Humidity
87%
Precipitation
728 mm
Internet Speed
44 Mbps
Upload
37 Mbps
Latency
3 ms
City Vibrancy
19
Coworking
0
Cafes
13
Nightlife
2
Parks
4
Transport
26
Walk Score
26
Footways
51.0
Airport
GOJ
Distance
21 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-10.
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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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