Lagunitas-Forest Knolls
City in California, United States
Overview
Lagunitas-Forest Knolls is a tranquil, unincorporated community in Marin County, California. Tucked among redwoods and rolling hills, it's renowned for outdoor recreation, bohemian spirit, and proximity to Point Reyes National Seashore.
Geographic Context
Jurisdiction
United States
State
California
Population
—
Time Zone
America/Los_Angeles
Coordinates
38.02°, -122.69°
Key Metrics
Safety Score · estimate
85
Female Safety
88
LGBTQ+ Safety
90
Traffic Safety
75
Food Safety
95
Monthly Cost · estimate
$3,505
Local Cost
$2,840
Local Income
$3,900
Cashless
85
English
100
Temperature
13.6°C
Summer Avg
16.7°C
Winter Avg
9.7°C
Record High
39.0°C
Record Low
-0.8°C
Humidity
77%
Precipitation
586 mm
Internet Speed
536 Mbps
Upload
42 Mbps
Latency
18 ms
City Vibrancy
3
Coworking
0
Cafes
1
Nightlife
0
Parks
2
Transport
2
Walk Score
2
Footways
4.0
Airport
SRF
Distance
15 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 2025-12-09.
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: 80/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.