Urban-Rural Index Ranking — New Braunfels

Updated

Which New Braunfels neighborhoods have the highest urban-rural index score? All 5 neighborhoods ranked. City average: 7.47/10. How urban-rural index is measured →

Score: 8–10 6–8 4–6 2–4 0–2
Map showing the location of New Braunfels neighborhoods
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Top Urban-Rural Index Neighborhoods — Ranked

#1
Loma Verde6.5

Open land and scattered homes among woodlands characterize this area, offering a more open landscape than the typical New Braunfels urban density. According to iHuus data, the environment feels less developed than the city average.

#2
Green Valley Estates6.5

Open land and scattered homes amid woodlands characterize this area, offering a more rural atmosphere than the typical New Braunfels landscape according to iHuus data.

#3
Evergreen Village6.5

Open land and woodland areas are common here, providing a more spacious environment than the more densely developed areas found elsewhere in New Braunfels. According to iHuus data, the landscape features scattered homes amid fields rather than concentrated urban blocks.

#4
Mockingbird Heights6.5

#5
Morning Mist6.5

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Full New Braunfels Urban-Rural Index Ranking

City average:7.47— scores above this beat the city average
NeighborhoodScoreCity Rankvs. City Avg
Loma Verde6.5#1-1.0 ↓
Green Valley Estates6.5#2-1.0 ↓
Evergreen Village6.5#3-1.0 ↓
Mockingbird Heights6.5#4-1.0 ↓
Morning Mist6.5#5-1.0 ↓

iHuus Neighborhood Intelligence Insights

Get address-level neighborhood insights for New Braunfels

  • Street-level scores — see how individual blocks compare, not just neighborhood averages
  • Micro-zone boundaries — identify quiet pockets, flood boundaries, and walkable clusters before you visit
  • 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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