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Sicuani
City in Cusco, Peru
Overview
Sicuani is a modest, friendly city in southern Peru's Cusco region, serving as a local transport hub and gateway to the Andean highlands. Its lively markets, Andean culture, and access to natural attractions make it an authentic stop between Cusco and Lake Titicaca.
Geographic Context
Jurisdiction
Peru
Region
Cusco
Population
57,551
Time Zone
America/Lima
Coordinates
-14.27°, -71.23°
Key Metrics
Safety Score · estimate
60
Female Safety
45
LGBTQ+ Safety
30
Traffic Safety
50
Food Safety
50
Monthly Cost · estimate
$440
Local Cost
$275
Local Income
$300
Cashless
25
English
10
Temperature
6.1°C
Summer Avg
6.9°C
Winter Avg
4.5°C
Record High
22.1°C
Record Low
-7.1°C
Humidity
68%
Precipitation
560 mm
Internet Speed
252 Mbps
Upload
198 Mbps
Latency
21 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
7
Walk Score
7
Footways
13.0
Airport
—
Distance
—
Explore
Neighborhoods
EstimatedNeighborhood highlights with vibe, safety, and cost profiles.
View featured neighborhoodsData sources
Source-backed data
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 2025-12-06.
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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