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Sisa

City in San Martín, Peru

Overview

Sisa is a small yet lively town set in Peru's San Martín region, surrounded by lush Amazonian rainforest and the winding Sisa River. Its local markets, friendly community, and natural beauty make it an authentic destination for adventurous travelers.

Geographic Context

Jurisdiction
Peru
Region
San Martín
Population
—
Time Zone
America/Lima
Coordinates
-6.61°, -76.69°

Key Metrics

Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
40
Traffic Safety
50
Food Safety
55
Monthly Cost · estimate
$495
Local Cost
$237
Local Income
$250
Cashless
30
English
25
Temperature
21.4°C
Summer Avg
21.6°C
Winter Avg
20.8°C
Record High
34.5°C
Record Low
12.3°C
Humidity
75%
Precipitation
889 mm
Internet Speed
28 Mbps
Upload
15 Mbps
Latency
39 ms
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
0
Parks
3
Transport
1
Walk Score
1
Footways
2.0
Airport
TPP
Distance
37 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 12 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 2026-03-22.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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