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Tiefeng
City in Heilongjiang, China
Overview
Tiefeng is an urban district in Qiqihar, Heilongjiang, known for its dynamic blend of commerce and tradition. With a population of over 271,000, it is a local hub for culture, trade, and education. The city offers a glimpse into northeastern Chinese daily life and history.
Geographic Context
Jurisdiction
China
Province
Heilongjiang
Population
271,372
Time Zone
Asia/Shanghai
Coordinates
47.29°, 124.24°
Key Metrics
Safety Score · estimate
65
Female Safety
55
LGBTQ+ Safety
30
Traffic Safety
60
Food Safety
77
Monthly Cost · estimate
$628
Local Cost
$299
Local Income
$620
Cashless
88
English
15
Temperature
3.4°C
Summer Avg
21.9°C
Winter Avg
-17.4°C
Record High
41.6°C
Record Low
-41.8°C
Humidity
69%
Precipitation
487 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
NDG
Distance
25 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 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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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