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Sayán

City in Lima, Peru

Overview

Sayán is a small, tranquil city in the Lima region of Peru, surrounded by lush valleys and marked by colonial architecture. Known for its friendly community, fresh fruit markets, and scenic countryside, Sayán offers an authentic experience away from crowded tourist trails.

Geographic Context

Jurisdiction
Peru
Region
Lima
Population
6,196
Time Zone
America/Lima
Coordinates
-11.13°, -77.19°

Key Metrics

Safety Score · estimate
65
Female Safety
55
LGBTQ+ Safety
45
Traffic Safety
60
Food Safety
55
Monthly Cost · estimate
$600
Local Cost
$282
Local Income
$320
Cashless
20
English
18
Temperature
19.3°C
Summer Avg
21.0°C
Winter Avg
17.6°C
Record High
28.8°C
Record Low
11.0°C
Humidity
73%
Precipitation
56 mm
Internet Speed
47 Mbps
Upload
54 Mbps
Latency
7 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
6
Walk Score
6
Footways
12.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 54 tests. Record updated 2025-12-05.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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