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Meilisi Daur
City in Heilongjiang, China
Overview
Meilisi Daur is a small district in Heilongjiang Province, known for its blend of local Chinese and Daur ethnic cultures. The area features traditional architecture, quiet neighborhoods, and scenic countryside, offering an authentic experience of rural northeast China.
Geographic Context
Jurisdiction
China
Province
Heilongjiang
Population
—
Time Zone
Asia/Shanghai
Coordinates
47.55°, 123.82°
Key Metrics
Safety Score · estimate
65
Female Safety
65
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
65
Monthly Cost · estimate
$518
Local Cost
$247
Local Income
$350
Cashless
80
English
20
Temperature
3.6°C
Summer Avg
22.1°C
Winter Avg
-17.0°C
Record High
42.2°C
Record Low
-40.3°C
Humidity
67%
Precipitation
483 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
NDG
Distance
36 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 2026-03-21.
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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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