Ivars de Noguera

City in Lleida, Spain

Overview

Ivars de Noguera is a small, tranquil village in Lleida province, set beside the Segre river and surrounded by rolling farmland. Its traditional Spanish charm, friendly locals, and scenic setting make it perfect for a peaceful rural getaway.

Geographic Context

Jurisdiction
Spain
Province
Lleida
Population
318
Time Zone
Europe/Madrid
Coordinates
41.85°, 0.59°

Key Metrics

Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
80
Food Safety
90
Monthly Cost · estimate
$1,170
Local Cost
$792
Local Income
$1,100
Cashless
45
English
30
Temperature
13.6°C
Summer Avg
23.1°C
Winter Avg
4.8°C
Record High
40.0°C
Record Low
-10.4°C
Humidity
64%
Precipitation
494 mm
Internet Speed
246 Mbps
Upload
265 Mbps
Latency
25 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
5
Walk Score
5
Footways
9.0
Airport
ILD
Distance
14 km

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Temperature & conditions
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City Guide
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Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 22 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.
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 2026-03-23.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.