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Kabupaten Boyolali
City in Jawa Tengah, Indonesia
Overview
Kabupaten Boyolali is a regency in Central Java famous for its lush landscapes, agricultural heritage, and proximity to the breathtaking peaks of Merapi and Merbabu. The area blends lively urban centers with tranquil villages, making it an excellent base for exploring nature, culture, and rural life.
Geographic Context
Jurisdiction
Indonesia
Province
Jawa Tengah
Population
—
Time Zone
Asia/Jakarta
Coordinates
-7.50°, 110.70°
Key Metrics
Safety Score · estimate
75
Female Safety
65
LGBTQ+ Safety
30
Traffic Safety
50
Food Safety
60
Monthly Cost · estimate
$336
Local Cost
$172
Local Income
$140
Cashless
45
English
35
Temperature
25.0°C
Summer Avg
24.8°C
Winter Avg
24.1°C
Record High
38.7°C
Record Low
15.8°C
Humidity
83%
Precipitation
2093 mm
Internet Speed
21 Mbps
Upload
14 Mbps
Latency
6 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
SOC
Distance
7 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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