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Alva
City in Clackmannanshire, United Kingdom
Overview
Alva is a scenic small town in Clackmannanshire, set at the foot of the Ochil Hills. It's known for its walking trails, historical textile heritage, and friendly local atmosphere. Despite its size, Alva offers easy access to nature and traditional Scottish community life.
Geographic Context
Jurisdiction
United Kingdom
Council Area
Clackmannanshire
Population
4,600
Time Zone
Europe/London
Coordinates
56.15°, -3.81°
Key Metrics
Safety Score · estimate
86
Female Safety
84
LGBTQ+ Safety
82
Traffic Safety
92
Food Safety
97
Monthly Cost · estimate
$1,808
Local Cost
$1,210
Local Income
$2,400
Cashless
94
English
99
Temperature
7.8°C
Summer Avg
13.4°C
Winter Avg
2.8°C
Record High
26.7°C
Record Low
-8.9°C
Humidity
90%
Precipitation
1036 mm
Internet Speed
186 Mbps
Upload
31 Mbps
Latency
15 ms
City Vibrancy
4
Coworking
0
Cafes
0
Nightlife
0
Parks
4
Transport
24
Walk Score
24
Footways
48.0
Airport
EDI
Distance
36 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
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: 67/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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