Population Age Profile Ranking — New Braunfels

Updated

Which New Braunfels neighborhoods have the highest population age profile score? All 5 neighborhoods ranked. City average: 4.88/10. How population age profile 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 Population Age Profile Neighborhoods — Ranked

#1
Loma Verde4.7

Residents live alongside a balanced mix of young adults, families, and older populations. This demographic spread is slightly lower than the New Braunfels average, according to iHuus data.

#2
Mockingbird Heights4.6

Residents experience a balanced demographic spread of young adults, families, and seniors. This age distribution is slightly more varied than the average seen across New Braunfels, according to iHuus data.

#3
Evergreen Village4.5

A balanced mix of young adults, families, and older residents characterizes this area, though the demographic spread is slightly less varied than the New Braunfels average according to iHuus data.

#4
Morning Mist4.5

#5
Green Valley Estates4.4

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Full New Braunfels Population Age Profile Ranking

City average:4.88— scores above this beat the city average
NeighborhoodScoreCity Rankvs. City Avg
Loma Verde4.7#1-0.2 ↓
Mockingbird Heights4.6#2-0.3 ↓
Evergreen Village4.5#3-0.4 ↓
Morning Mist4.5#4-0.4 ↓
Green Valley Estates4.4#5-0.5 ↓

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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