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Fernando de la Mora

City in Central, Paraguay

Overview

Fernando de la Mora is a busy city in Central Paraguay, seamlessly blending suburban comfort with urban conveniences. It's recognized for its local markets, parks, and close proximity to Paraguay's capital, Asunción.

Geographic Context

Jurisdiction
Paraguay
Department
Central
Population
110,255
Time Zone
America/Asuncion
Coordinates
-25.34°, -57.52°

Key Metrics

Safety Score · estimate
58
Female Safety
60
LGBTQ+ Safety
45
Traffic Safety
55
Food Safety
65
Monthly Cost · estimate
$759
Local Cost
$415
Local Income
$400
Cashless
40
English
30
Temperature
22.9°C
Summer Avg
27.8°C
Winter Avg
17.2°C
Record High
42.8°C
Record Low
-1.6°C
Humidity
73%
Precipitation
1473 mm
Internet Speed
87 Mbps
Upload
74 Mbps
Latency
4 ms
City Vibrancy
73
Coworking
0
Cafes
6
Nightlife
2
Parks
65
Transport
0
Walk Score
0
Footways
—
Airport
ASU
Distance
11 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 30 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.

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: 67/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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