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Kabupaten Tasikmalaya
City in Jawa Barat, Indonesia
Overview
Kabupaten Tasikmalaya, set in the lush highlands of West Java, is known for its serene landscapes, strong Sundanese culture, and lively local markets. The area offers a blend of traditional charm, scenic rice fields, and a gateway to natural attractions like Mount Galunggung.
Geographic Context
Jurisdiction
Indonesia
Province
Jawa Barat
Population
—
Time Zone
Asia/Jakarta
Coordinates
-7.50°, 108.13°
Key Metrics
Safety Score · estimate
65
Female Safety
55
LGBTQ+ Safety
30
Traffic Safety
45
Food Safety
60
Monthly Cost · estimate
$350
Local Cost
$203
Local Income
$150
Cashless
35
English
30
Temperature
23.7°C
Summer Avg
24.4°C
Winter Avg
22.6°C
Record High
31.5°C
Record Low
15.5°C
Humidity
89%
Precipitation
2993 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
TSY
Distance
21 km
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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