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Nakhon Sawan

City in Nakhon Sawan, Thailand

Overview

Nakhon Sawan, located at the confluence of the Ping and Nan rivers, is known as the 'Gateway to the North' of Thailand. With its riverfront markets, lively festivals, and scenic natural attractions, the city offers a taste of authentic Thai culture and hospitality.

Geographic Context

Jurisdiction
Thailand
Province
Nakhon Sawan
Population
86,439
Time Zone
Asia/Bangkok
Coordinates
15.70°, 100.14°

Key Metrics

Safety Score · estimate
73
Female Safety
70
LGBTQ+ Safety
55
Traffic Safety
50
Food Safety
65
Monthly Cost · estimate
$532
Local Cost
$249
Local Income
$400
Cashless
40
English
30
Temperature
27.9°C
Summer Avg
28.0°C
Winter Avg
26.1°C
Record High
45.2°C
Record Low
8.1°C
Humidity
69%
Precipitation
1229 mm
Internet Speed
225 Mbps
Upload
186 Mbps
Latency
8 ms
City Vibrancy
9
Coworking
0
Cafes
4
Nightlife
2
Parks
3
Transport
3
Walk Score
3
Footways
6.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 137 tests. 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 2025-12-06.

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: 69/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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