Galda de Jos

City in Alba, Romania

Overview

Galda de Jos is a charming rural town in Alba County, Romania, known for its picturesque landscapes and warm local community. The city is an ideal base for exploring Transylvanian countryside, with easy access to hiking trails, historic sites, and traditional villages.

Geographic Context

Jurisdiction
Romania
Department
Alba
Population
4,373
Time Zone
Europe/Bucharest
Coordinates
46.18°, 23.62°

Key Metrics

Safety Score · estimate
72
Female Safety
68
LGBTQ+ Safety
40
Traffic Safety
50
Food Safety
65
Monthly Cost · estimate
$892
Local Cost
$530
Local Income
$425
Cashless
32
English
30
Temperature
10.1°C
Summer Avg
20.9°C
Winter Avg
-1.2°C
Record High
38.3°C
Record Low
-26.4°C
Humidity
73%
Precipitation
679 mm
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
2
Parks
1
Transport
4
Walk Score
4
Footways
8.0
Airport
—
Distance
—

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Prices & expenses
Weather & Climate
Temperature & conditions
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Neighborhoods
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City Guide
Tips & insights

Data sources

Source-backed data

OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.