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San Fernando Poblacion

City in Abra, Philippines

Overview

San Fernando Poblacion in Abra is a small, lively town that serves as the administrative core of the region. Known for its laid-back atmosphere, it offers visitors an authentic glimpse into provincial life with friendly locals, fresh markets, and simple pleasures.

Geographic Context

Jurisdiction
Philippines
Province
Abra
Population
—
Time Zone
Asia/Manila
Coordinates
16.62°, 120.32°

Key Metrics

Safety Score · estimate
65
Female Safety
58
LGBTQ+ Safety
50
Traffic Safety
55
Food Safety
68
Monthly Cost · estimate
$492
Local Cost
$270
Local Income
$220
Cashless
28
English
60
Temperature
23.0°C
Summer Avg
23.6°C
Winter Avg
21.2°C
Record High
35.0°C
Record Low
10.8°C
Humidity
85%
Precipitation
3091 mm
Internet Speed
149 Mbps
Upload
148 Mbps
Latency
5 ms
City Vibrancy
31
Coworking
0
Cafes
25
Nightlife
2
Parks
4
Transport
23
Walk Score
23
Footways
46.0
Airport
SFE
Distance
3 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 203 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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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