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Asentamiento Humano Nicolas de Pierola

City in Lima, Peru

Overview

Asentamiento Humano Nicolas de Pierola is an informal urban settlement on the outskirts of Lima, Peru. Life here is lively, and the community thrives amidst modest surroundings, with local commerce and street food culture at its heart.

Geographic Context

Jurisdiction
Peru
Region
Lima
Population
—
Time Zone
America/Lima
Coordinates
-11.94°, -76.71°

Key Metrics

Safety Score · estimate
30
Female Safety
35
LGBTQ+ Safety
30
Traffic Safety
35
Food Safety
40
Monthly Cost · estimate
$570
Local Cost
$290
Local Income
$300
Cashless
10
English
10
Temperature
18.2°C
Summer Avg
19.3°C
Winter Avg
16.9°C
Record High
27.3°C
Record Low
10.3°C
Humidity
68%
Precipitation
23 mm
Internet Speed
88 Mbps
Upload
46 Mbps
Latency
9 ms
City Vibrancy
36
Coworking
0
Cafes
5
Nightlife
4
Parks
27
Transport
48
Walk Score
48
Footways
96.0
Airport
LIM
Distance
46 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 20 tests. Record updated 2025-12-05.
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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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