Comuna Găvăneşti

City in Olt, Romania

Overview

Comuna Găvăneşti is a rural commune in Olt County, southern Romania, offering a tranquil slice of traditional Romanian countryside life. Known for its friendly communities, agricultural heritage, and scenic landscapes, it's ideal for visitors seeking authenticity and relaxation.

Geographic Context

Jurisdiction
Romania
Department
Olt
Population
—
Time Zone
Europe/Bucharest
Coordinates
44.41°, 24.01°

Key Metrics

Safety Score · estimate
65
Female Safety
55
LGBTQ+ Safety
35
Traffic Safety
60
Food Safety
70
Monthly Cost · estimate
$690
Local Cost
$480
Local Income
$500
Cashless
30
English
20
Temperature
11.7°C
Summer Avg
23.3°C
Winter Avg
-0.3°C
Record High
42.7°C
Record Low
-22.6°C
Humidity
72%
Precipitation
674 mm
Internet Speed
64 Mbps
Upload
9 Mbps
Latency
22 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
CRA
Distance
14 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Record updated 2025-12-06.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.
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 2026-03-21.
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.