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Dajingshan

City in Heilongjiang, China

Overview

Dajingshan, set in Heilongjiang, offers an authentic look at life in northern China with its blend of local culture, markets, and tranquil residential zones. Positioned as a modestly developed city, it combines classic Chinese charm with accessible natural scenery, ideal for those seeking off-the-beaten-path experiences.

Geographic Context

Jurisdiction
China
Province
Heilongjiang
Population
—
Time Zone
Asia/Shanghai
Coordinates
47.03°, 129.01°

Key Metrics

Safety Score · estimate
80
Female Safety
60
LGBTQ+ Safety
30
Traffic Safety
55
Food Safety
65
Monthly Cost · estimate
$637
Local Cost
$330
Local Income
$390
Cashless
75
English
20
Temperature
1.1°C
Summer Avg
18.9°C
Winter Avg
-18.9°C
Record High
36.9°C
Record Low
-41.0°C
Humidity
79%
Precipitation
705 mm
Internet Speed
182 Mbps
Upload
25 Mbps
Latency
137 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0

Data sources

Source-backed data

World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 3 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.

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 2026-03-21.
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: 48/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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