Urban-Rural Index Ranking — Lake Forest

Updated June 22, 2026

See how neighborhoods in Lake Forest compare on urban-rural index. Rankings are based on measured data aggregated across each neighborhood boundary. How urban-rural index is measured →

Top Urban-Rural Index Neighborhoods — Ranked

#1
Lower Greenridge6.5

Dense residential developments and commercial parks characterize this area, which feels slightly more urbanized than the typical Lake Forest landscape. According to iHuus data, the neighborhood features a notable concentration of townhomes and industrial spaces compared to the more open, semi-rural surroundings found elsewhere in the city.

#2
Cedar Glen6.5

Dense suburban development characterizes this area with a mix of single-family homes and multi-story apartment complexes. According to iHuus data, the landscape is slightly less open than the Lake Forest average.

#3
Grandview Crest6.5

Residential pockets feature a mix of dense suburban developments and proximity to canyon landscapes. This area offers slightly more open land and greenery than the typical Lake Forest setting according to iHuus data.

#4
Montbury6.5

#5
Sycamore Creek6.5

#6
Upper Greenridge6.5

#7
Woodside6.5

Full Lake Forest Urban-Rural Index Ranking

City average:6.78— scores above this beat the city average
NeighborhoodScoreCity Rankvs. City Avg
Lower Greenridge6.5#1-0.3 ↓
Cedar Glen6.5#2-0.3 ↓
Grandview Crest6.5#3-0.3 ↓
Montbury6.5#4-0.3 ↓
Sycamore Creek6.5#5-0.3 ↓
Upper Greenridge6.5#6-0.3 ↓
Woodside6.5#7-0.3 ↓

iHuus Neighborhood Intelligence Insights

Get block-level neighborhood insights for Lake Forest

  • Street-level scores — see how individual blocks compare, not just neighborhood averages
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  • 15 dimensions in full — walkability, noise, air quality, school quality, insurance coverage, population age profile, urban/rural index, and more
  • Boundary risk alerts — know if your address sits near a block boundary where scores drop, the kind of detail no listing will ever mention
  • School insights — individual school ratings and insights, not just district-level data
  • Compare before you commit — side-by-side data across neighborhoods, down to block precision

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