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Lajes

City in Rio Grande do Norte, Brazil

Overview

Lajes is a small, friendly city located in the interior of Rio Grande do Norte, Brazil. With a tight-knit community vibe and a peaceful rural landscape, it offers visitors a taste of authentic Northeastern Brazilian life. The pace is relaxed, ideal for travelers wanting a break from big city bustle.

Geographic Context

Jurisdiction
Brazil
State
Rio Grande do Norte
Population
10,094
Time Zone
America/Sao_Paulo
Coordinates
-5.78°, -36.17°

Key Metrics

Safety Score
60
Female Safety
55
LGBTQ+ Safety
40
Traffic Safety
65
Food Safety
55
Monthly Cost
$528
Local Cost
$347
Local Income
$285
Cashless
30
English
20
Temperature
25.8°C
Summer Avg
27.0°C
Winter Avg
23.9°C
Record High
39.2°C
Record Low
16.4°C
Humidity
72%
Precipitation
799 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0

Explore

Cost of Living
Prices & expenses
Weather & Climate
Temperature & conditions
Alternatives
Similar cities worldwide
Compare
Side-by-side comparison
Neighborhoods
2 areas mapped
City Guide
Tips & insights

Neighborhoods

Partial

Coverage is incomplete — additional neighborhoods are being added as more source data is processed.

Firmamento Praça Manoel Januário Cabral

Coverage is incomplete — more neighborhoods are being added.

View all 2 neighborhoods

Frequently Asked Questions

Data sources

Source-backed data

NASA POWER - Climate normals and monthly weather measurements rendered as city weather metrics. Updated 2026-03-22.
World Air Quality Index - Latest available city-level air quality station measurement. Updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Updated 2025-12-07.
Oyster List city price model - City price estimates calibrated from local price surveys and jurisdiction-level cost signals. Updated 2026-01-14.
Overture Maps and OpenStreetMap - 2 source-backed neighborhood entities are available for this city. Updated 2026-03-25.

Estimated data

Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores are model-assisted estimates derived from source-backed country and city signals. Confidence 44/100.

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