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Shimianzhuang
City in Tianjin, China
Overview
Shimianzhuang is a small, traditional rural village in Tianjin province with fewer than 1,000 residents. It offers a glimpse into authentic Chinese countryside life, surrounded by farmland and community spirit. Visitors find quiet streets, welcoming locals, and simple pleasures.
Geographic Context
Jurisdiction
China
Municipality
Tianjin
Population
927
Time Zone
Asia/Shanghai
Coordinates
39.42°, 117.16°
Key Metrics
Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
30
Traffic Safety
65
Food Safety
80
Monthly Cost · estimate
$522
Local Cost
$289
Local Income
$350
Cashless
80
English
10
Temperature
12.2°C
Summer Avg
26.2°C
Winter Avg
-3.0°C
Record High
42.9°C
Record Low
-19.5°C
Humidity
57%
Precipitation
530 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
TSN
Distance
37 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 2025-12-08.
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 2026-03-23.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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