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South Eliot

City in Maine, United States

Overview

South Eliot is a quiet riverside community in southern Maine, close to the lively city of Portsmouth, New Hampshire. Known for its small-town charm, natural beauty, and easy access to coastal attractions, it's ideal for those seeking peace with the perks of nearby urban life.

Geographic Context

Jurisdiction
United States
State
Maine
Population
—
Time Zone
America/New_York
Coordinates
43.11°, -70.78°

Key Metrics

Safety Score · estimate
88
Female Safety
85
LGBTQ+ Safety
80
Traffic Safety
80
Food Safety
100
Monthly Cost · estimate
$2,985
Local Cost
$2,026
Local Income
$4,000
Cashless
75
English
100
Temperature
9.3°C
Summer Avg
19.1°C
Winter Avg
-0.4°C
Record High
30.4°C
Record Low
-19.7°C
Humidity
83%
Precipitation
1333 mm
City Vibrancy
5
Coworking
0
Cafes
1
Nightlife
0
Parks
4
Transport
0
Walk Score
0
Footways
—
Airport
PSM
Distance
5 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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