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Qingshancun
City in Shandong, China
Overview
Qingshancun is a quiet rural township in Shandong, China, offering a charming mix of traditional countryside culture and scenic beauty. Visitors can experience genuine hospitality, rolling fields, and authentic local cuisine far from the busy urban centers.
Geographic Context
Jurisdiction
China
Province
Shandong
Population
—
Time Zone
Asia/Shanghai
Coordinates
36.15°, 120.68°
Key Metrics
Safety Score · estimate
75
Female Safety
65
LGBTQ+ Safety
35
Traffic Safety
60
Food Safety
80
Monthly Cost · estimate
$632
Local Cost
$328
Local Income
$550
Cashless
90
English
15
Temperature
13.5°C
Summer Avg
23.7°C
Winter Avg
2.7°C
Record High
33.3°C
Record Low
-10.9°C
Humidity
75%
Precipitation
730 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
3
Walk Score
3
Footways
6.0
Airport
—
Distance
—
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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