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NIA Valencia

City in Benguet, Philippines

Overview

NIA Valencia is a tranquil town in Benguet, Philippines, popular for its lush mountain landscapes and close-knit communities. The city offers an authentic rural Philippine experience with scenic rice fields and a laid-back atmosphere. Visitors can enjoy local markets, traditional festivals, and outdoor activities amid cool mountain air.

Geographic Context

Jurisdiction
Philippines
Province
Benguet
Population
—
Time Zone
Asia/Manila
Coordinates
7.91°, 125.09°

Key Metrics

Safety Score · estimate
50
Female Safety
52
LGBTQ+ Safety
38
Traffic Safety
40
Food Safety
55
Monthly Cost · estimate
$535
Local Cost
$277
Local Income
$220
Cashless
24
English
64
Temperature
21.7°C
Summer Avg
22.0°C
Winter Avg
21.0°C
Record High
32.5°C
Record Low
12.5°C
Humidity
89%
Precipitation
2344 mm
City Vibrancy
13
Coworking
0
Cafes
8
Nightlife
2
Parks
3
Transport
21
Walk Score
21
Footways
41.0
Airport
XMA
Distance
18 km

Data sources

Source-backed data

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: 54/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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