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Sarrat
City in Ilocos Norte, Philippines
Overview
Sarrat is a historic riverside town in Ilocos Norte, Philippines, known for its centuries-old church, tranquil surroundings, and rooted Ilocano traditions. With a peaceful, rural setting and warmly welcoming locals, Sarrat makes for an authentic cultural getaway off the beaten path.
Geographic Context
Jurisdiction
Philippines
Province
Ilocos Norte
Population
26,294
Time Zone
Asia/Manila
Coordinates
18.11°, 120.57°
Key Metrics
Safety Score · estimate
75
Female Safety
60
LGBTQ+ Safety
35
Traffic Safety
60
Food Safety
70
Monthly Cost · estimate
$490
Local Cost
$285
Local Income
$180
Cashless
25
English
55
Temperature
26.2°C
Summer Avg
26.9°C
Winter Avg
24.2°C
Record High
37.5°C
Record Low
16.6°C
Humidity
78%
Precipitation
2407 mm
Internet Speed
102 Mbps
Upload
91 Mbps
Latency
15 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
LAO
Distance
8 km
Explore
Data 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 2025-12-05.
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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