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Huyện Như Thanh

City in Thanh Hóa, Vietnam

Overview

Huyện Như Thanh is a quiet rural district in Thanh Hóa province, Vietnam, known for its lush forests, friendly locals, and proximity to Ben En National Park. Visitors come to experience nature, traditional Vietnamese life, and authentic countryside cuisine.

Geographic Context

Jurisdiction
Vietnam
Province
Thanh Hóa
Population
—
Time Zone
Asia/Ho_Chi_Minh
Coordinates
19.58°, 105.56°

Key Metrics

Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
30
Traffic Safety
45
Food Safety
60
Monthly Cost · estimate
$374
Local Cost
$186
Local Income
$150
Cashless
20
English
20
Temperature
23.9°C
Summer Avg
28.5°C
Winter Avg
17.9°C
Record High
40.9°C
Record Low
3.7°C
Humidity
84%
Precipitation
1701 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
THD
Distance
37 km

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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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