ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Legends Hutto Ph 03

Hutto, TX 78634
Resale homes · closed Nov 3 – Nov 2, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
November 3, 2026 · 7:45 AM CST
MARKET STUDY All analysis covers resale homes only. New construction appears once, in its own section. Click any dot on the map for that sale.
Resale sales, 365 days
33
single-family resale homes
Median net sale price
$295,850
average $297,015
Median net price per SF
$137
average $149
Median days on market
52 days
average 74 days
1. SummaryResale homes · 33 sales · November 3, 2025 – November 2, 2026

This study looks at the 33 resale homes sold in Legends Hutto Ph 03 in the 365 days to November 2, 2026. A full year is used because only 18 resale homes sold in the last 180 days. New construction is left out and shown on its own in section 7. The homes are compared four ways: by price, by living area, by year built and with or without a view. The first three are split into four equal groups (quartiles), each named by its range.

Each comparison has its own section (3–6) with everything about it in one place: the key differences, a table of every measure at a glance, the charts and the numbers.

2. Where the resale homes sold33 resale homes · colored by price range

Each dot is one resale home, colored by its price range. Use the buttons to show one price range at a time. Click a dot for that sale: address, close date, original and last list price, net sale price, living area, net sale per SF and days on market. Scroll or pinch to zoom.

Under $265K · 8 sales$265K–$292K · 8 sales$296K–$320K · 9 salesOver $320K · 8 sales
3. Quartiles by net sale priceResale homes · 33 sales · November 3, 2025 – November 2, 2026

Sales ranked by net sale price and cut into four equal groups. This is the usual way to read a market by price.

2026-11-03T07:45:34.858546 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 8 8 9 8 33 sales Sales per group Under $265K: 8 sales (24%) $265K–$292K: 8 sales (24%) $296K–$320K: 9 sales (27%) Over $320K: 8 sales (24%)
Bottom line: no measure differs enough between the groups to rule out chance.

3.1 Key differences

The top group against the bottom group: no measure differs enough to rule out chance.

3.2 At a glance

Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.

Under $265K$265K–$292K$296K–$320KOver $320KReal difference?
Net price per SF$161 per SF$150 per SF$151 per SF$133 per SFunclear
Living area1,670 SF2,017 SF2,112 SF2,827 SFunclear
Year built2002200420042006unclear
Days on market43 days64 days31 days69 daysunclear
Discount from original list7.3%8.4%2.8%5.0%unclear
Price cut before sale50%50%33%38%unclear
Seller paid closing costs or repairs75%75%56%75%unclear
Has a view0%12%11%38%unclear

How to read this section. Each heading gives the finding. The gold box says whether the gap is real (✓, with its size) or could be chance (–). The section ends with its numbers; the tests are in section 8.3.

3.3 Net price per SF: no clear difference

2026-11-03T07:45:34.886467 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $265K 8 sales $265K– $292K 8 sales $296K– $320K 9 sales Over $320K 8 sales $0 $50 $100 $150 $161 $150 $151 $133 Net price per SF, average

The average is $133 per SF for homes over $320K and $161 per SF for homes under $265K. It does not move in a straight line; homes under $265K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Living area: no clear difference

2026-11-03T07:45:34.908914 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $265K 8 sales $265K– $292K 8 sales $296K– $320K 9 sales Over $320K 8 sales 0 1,000 2,000 3,000 1,670 2,017 2,112 2,827 Living area (SF), average

The average is 2,827 SF for homes over $320K and 1,670 SF for homes under $265K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

– No clear difference · could be chance

3.5 Year built: no clear difference

2026-11-03T07:45:34.931733 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $265K 8 sales $265K– $292K 8 sales $296K– $320K 9 sales Over $320K 8 sales 2002 2004 2006 2002 2004 2004 2006 Year built: median (dot) and middle half (bar)

The median is 2006 for homes over $320K and 2002 for homes under $265K. It rises step by step from the lowest range to the highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-11-03T07:45:34.954162 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $265K 8 sales $265K– $292K 8 sales $296K– $320K 9 sales Over $320K 8 sales 0 25 50 75 43 64 31 69 Days on market, median

The median is 69 days for homes over $320K and 43 days for homes under $265K. It does not move in a straight line; homes over $320K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-11-03T07:45:34.976129 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $265K 8 sales $265K– $292K 8 sales $296K– $320K 9 sales Over $320K 8 sales 0.0% 5.0% 10.0% 7.3% 8.4% 2.8% 5.0% Discount from original list, average

The average is 5.0% for homes over $320K and 7.3% for homes under $265K. It does not move in a straight line; homes $265K–$292K are highest. Defined in 8.1.6.

– No clear difference · could be chance

3.8 How often: price cut before sale, seller paid closing costs or repairs, has a view

2026-11-03T07:45:35.005465 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 50 75 0 50 75 12 33 56 11 38 75 38 Under $265K $265K–$292K $296K–$320K Over $320K

Each bar is the share of homes in the group, in percent.

  • 38% of homes over $320K had a price cut before sale, against 50% of homes under $265K. Defined in 8.1.7.
  • 75% of homes over $320K had the seller pay closing costs or repairs, against 75% of homes under $265K. Defined in 8.1.8.
  • 38% of homes over $320K have a view, against 0% of homes under $265K. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance

3.9 The numbers: price and size

Under $265K8 sales$265K–$292K8 sales$296K–$320K9 salesOver $320K8 salesAll33 salesReal difference?
Net sale price average$245,736$278,457$307,512$355,041$297,015by design
Net price per SF average$161$150$151$133$149unclear
Living area average1,6702,0172,1122,8272,155unclear
Year built median20022004200420062004unclear

3.10 The numbers: selling

Under $265K8 sales$265K–$292K8 sales$296K–$320K9 salesOver $320K8 salesAll33 salesReal difference?
Days on market median4364316952unclear
Discount from original list average7.3%8.4%2.8%5.0%5.8%unclear
Price cut before sale50%50%33%38%42%unclear
Seller paid closing costs or repairs75%75%56%75%70%unclear
Has a view0%12%11%38%15%unclear

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.1.

4. Quartiles by living areaResale homes · 33 sales · November 3, 2025 – November 2, 2026

Sales ranked by living area and cut into four equal groups, from the smallest homes to the largest.

2026-11-03T07:45:35.025436 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 8 8 9 8 33 sales Sales per group Under 1,681 SF: 8 sales (24%) 1,681–1,904 SF: 8 sales (24%) 1,936–2,594 SF: 9 sales (27%) Over 2,594 SF: 8 sales (24%)
Bottom line

4.1 Key differences

The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.

Under 1,681 SF1,681–1,904 SF1,936–2,594 SFOver 2,594 SF
Larger homes Over 2,594 SF
  • Sell for less per square foot.
Smaller homes Under 1,681 SF
  • Sell for more per square foot.

4.2 At a glance

Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.

Under 1,681 SF1,681–1,904 SF1,936–2,594 SFOver 2,594 SFReal difference?
Net sale price$262K$293K$301K$331Kunclear
Net price per SF$199 per SFHighest$164 per SF$130 per SF$105 per SFLowest✓ large
Year built2002200420052006unclear
Days on market22 days48 days76 days104 daysunclear
Discount from original list4.7%4.7%6.7%6.9%unclear
Price cut before sale25%38%44%62%unclear
Seller paid closing costs or repairs88%62%67%62%unclear
Has a view12%25%0%25%unclear

4.3 Net sale price: no clear difference

2026-11-03T07:45:35.045553 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,681 SF 8 sales 1,681– 1,904 SF 8 sales 1,936– 2,594 SF 9 sales Over 2,594 SF 8 sales $0K $100K $200K $300K $262K $293K $301K $331K Net sale price, average

The average is $331K for homes over 2,594 SF and $262K for homes under 1,681 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

– No clear difference · could be chance

4.4 Homes over 2,594 SF sell for about $93 per SF (47%) less than homes under 1,681 SF

2026-11-03T07:45:35.068126 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,681 SF 8 sales 1,681– 1,904 SF 8 sales 1,936– 2,594 SF 9 sales Over 2,594 SF 8 sales $0 $100 $200 $199 $164 $130 $105 Net price per SF, average

The average is $105 per SF for homes over 2,594 SF and $199 per SF for homes under 1,681 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

✓ Real difference · large

4.5 Year built: no clear difference

2026-11-03T07:45:35.090314 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,681 SF 8 sales 1,681– 1,904 SF 8 sales 1,936– 2,594 SF 9 sales Over 2,594 SF 8 sales 2002 2004 2006 2002 2004 2005 2006 Year built: median (dot) and middle half (bar)

The median is 2006 for homes over 2,594 SF and 2002 for homes under 1,681 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-11-03T07:45:35.112523 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,681 SF 8 sales 1,681– 1,904 SF 8 sales 1,936– 2,594 SF 9 sales Over 2,594 SF 8 sales 0 50 100 22 48 76 104 Days on market, median

The median is 104 days for homes over 2,594 SF and 22 days for homes under 1,681 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-11-03T07:45:35.134228 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,681 SF 8 sales 1,681– 1,904 SF 8 sales 1,936– 2,594 SF 9 sales Over 2,594 SF 8 sales 0.0% 2.5% 5.0% 7.5% 4.7% 4.7% 6.7% 6.9% Discount from original list, average

The average is 6.9% for homes over 2,594 SF and 4.7% for homes under 1,681 SF. It does not move in a straight line; homes over 2,594 SF are highest. Defined in 8.1.6.

– No clear difference · could be chance

4.8 How often: price cut before sale, seller paid closing costs or repairs, has a view

2026-11-03T07:45:35.159890 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 25 88 12 38 62 25 44 67 0 62 62 25 Under 1,681 SF 1,681–1,904 SF 1,936–2,594 SF Over 2,594 SF

Each bar is the share of homes in the group, in percent.

  • 62% of homes over 2,594 SF had a price cut before sale, against 25% of homes under 1,681 SF. Defined in 8.1.7.
  • 62% of homes over 2,594 SF had the seller pay closing costs or repairs, against 88% of homes under 1,681 SF. Defined in 8.1.8.
  • 25% of homes over 2,594 SF have a view, against 12% of homes under 1,681 SF. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance

4.9 The numbers: price and size

Under 1,681 SF8 sales1,681–1,904 SF8 sales1,936–2,594 SF9 salesOver 2,594 SF8 salesAll33 salesReal difference?
Net sale price average$262,037$293,155$301,072$331,288$297,015unclear
Net price per SF average$199$164$130$105$149✓ large
Living area average1,3251,7942,3313,1482,155by design
Year built median20022004200520062004unclear

4.10 The numbers: selling

Under 1,681 SF8 sales1,681–1,904 SF8 sales1,936–2,594 SF9 salesOver 2,594 SF8 salesAll33 salesReal difference?
Days on market median22487610452unclear
Discount from original list average4.7%4.7%6.7%6.9%5.8%unclear
Price cut before sale25%38%44%62%42%unclear
Seller paid closing costs or repairs88%62%67%62%70%unclear
Has a view12%25%0%25%15%unclear

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.2.

5. Quartiles by year builtResale homes · 33 sales · November 3, 2025 – November 2, 2026

Sales ranked by year built and cut into four groups, from the oldest to the newest. Homes built in the same year always stay in the same group, so group sizes can differ a little.

2026-11-03T07:45:35.180542 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 9 11 7 33 sales Sales per group Before 2002: 6 sales (18%) 2002–2003: 9 sales (27%) 2004–2006: 11 sales (33%) After 2006: 7 sales (21%)
Bottom line: no measure differs enough between the groups to rule out chance.

5.1 Key differences

The top group against the bottom group: no measure differs enough to rule out chance.

5.2 At a glance

Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.

Before 20022002–20032004–2006After 2006Real difference?
Net sale price$264K$283K$302K$336Kunclear
Net price per SF$189 per SF$140 per SF$130 per SF$154 per SFunclear
Living area1,427 SF2,164 SF2,410 SF2,366 SFunclear
Days on market21 days60 days104 days21 daysunclear
Discount from original list2.6%7.0%7.2%4.8%unclear
Price cut before sale0%67%55%29%unclear
Seller paid closing costs or repairs83%67%64%71%unclear
Has a view17%11%9%29%unclear

5.3 Net sale price: no clear difference

2026-11-03T07:45:35.200482 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2002 6 sales 2002– 2003 9 sales 2004– 2006 11 sales After 2006 7 sales $0K $200K $400K $264K $283K $302K $336K Net sale price, average

The average is $336K for homes built after 2006 and $264K for homes built before 2002. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-11-03T07:45:35.222573 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2002 6 sales 2002– 2003 9 sales 2004– 2006 11 sales After 2006 7 sales $0 $100 $200 $189 $140 $130 $154 Net price per SF, average

The average is $154 per SF for homes built after 2006 and $189 per SF for homes built before 2002. It does not move in a straight line; homes built before 2002 are highest. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-11-03T07:45:35.244332 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2002 6 sales 2002– 2003 9 sales 2004– 2006 11 sales After 2006 7 sales 0 1,000 2,000 1,427 2,164 2,410 2,366 Living area (SF), average

The average is 2,366 SF for homes built after 2006 and 1,427 SF for homes built before 2002. It does not move in a straight line; homes built 2004–2006 are highest. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-11-03T07:45:35.265314 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2002 6 sales 2002– 2003 9 sales 2004– 2006 11 sales After 2006 7 sales 0 50 100 21 60 104 21 Days on market, median

The median is 21 days for homes built after 2006 and 21 days for homes built before 2002. It does not move in a straight line; homes built 2004–2006 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-11-03T07:45:35.287987 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2002 6 sales 2002– 2003 9 sales 2004– 2006 11 sales After 2006 7 sales 0.0% 2.5% 5.0% 7.5% 2.6% 7.0% 7.2% 4.8% Discount from original list, average

The average is 4.8% for homes built after 2006 and 2.6% for homes built before 2002. It does not move in a straight line; homes built 2004–2006 are highest. Defined in 8.1.6.

– No clear difference · could be chance

5.8 How often: price cut before sale, seller paid closing costs or repairs, has a view

2026-11-03T07:45:35.313285 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 0 83 17 67 67 11 55 64 9 29 71 29 Before 2002 2002–2003 2004–2006 After 2006

Each bar is the share of homes in the group, in percent.

  • 29% of homes built after 2006 had a price cut before sale, against 0% of homes built before 2002. Defined in 8.1.7.
  • 71% of homes built after 2006 had the seller pay closing costs or repairs, against 83% of homes built before 2002. Defined in 8.1.8.
  • 29% of homes built after 2006 have a view, against 17% of homes built before 2002. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance

5.9 The numbers: price and size

Before 20026 sales2002–20039 sales2004–200611 salesAfter 20067 salesAll33 salesReal difference?
Net sale price average$264,038$282,854$301,832$335,919$297,015unclear
Net price per SF average$189$140$130$154$149unclear
Living area average1,4272,1642,4102,3662,155unclear
Year built median20002003200620072004by design

5.10 The numbers: selling

Before 20026 sales2002–20039 sales2004–200611 salesAfter 20067 salesAll33 salesReal difference?
Days on market median21601042152unclear
Discount from original list average2.6%7.0%7.2%4.8%5.8%unclear
Price cut before sale0%67%55%29%42%unclear
Seller paid closing costs or repairs83%67%64%71%70%unclear
Has a view17%11%9%29%15%unclear

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.3.

6. View and no viewResale homes · 33 sales · November 3, 2025 – November 2, 2026

Sales where the MLS lists a view (greenbelt or park, trees, golf course, hill country, water and similar) against those listing none or only the neighborhood.

2026-11-03T07:45:35.331787 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 28 33 sales Sales per group View: 5 sales (15%) No view: 28 sales (85%)
Bottom line: no measure differs enough between the groups to rule out chance.

6.1 Key differences

The top group against the bottom group: no measure differs enough to rule out chance.

6.2 At a glance

Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.

ViewNo viewReal difference?
Net sale price$327K$292Kunclear
Net price per SF$157 per SF$147 per SFunclear
Living area2,311 SF2,127 SFunclear
Year built20062004unclear
Days on market62 days48 daysunclear
Discount from original list6.5%5.7%unclear
Price cut before sale60%39%unclear
Seller paid closing costs or repairs80%68%unclear

6.3 Net sale price: no clear difference

2026-11-03T07:45:35.347176 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 28 sales $0K $100K $200K $300K $327K $292K Net sale price, average

The average is $327K for homes with a view and $292K for homes without a view. Defined in 8.1.1.

– No clear difference · could be chance

6.4 Net price per SF: no clear difference

2026-11-03T07:45:35.364284 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 28 sales $0 $50 $100 $150 $157 $147 Net price per SF, average

The average is $157 per SF for homes with a view and $147 per SF for homes without a view. Defined in 8.1.2.

– No clear difference · could be chance

6.5 Living area: no clear difference

2026-11-03T07:45:35.381714 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 28 sales 0 1,000 2,000 2,311 2,127 Living area (SF), average

The average is 2,311 SF for homes with a view and 2,127 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-11-03T07:45:35.420328 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 28 sales 2002 2004 2006 2006 2004 Year built: median (dot) and middle half (bar)

The median is 2006 for homes with a view and 2004 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-11-03T07:45:35.437365 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 28 sales 0 20 40 60 62 48 Days on market, median

The median is 62 days for homes with a view and 48 days for homes without a view. Defined in 8.1.5.

– No clear difference · could be chance

6.8 Discount from original list: no clear difference

2026-11-03T07:45:35.455074 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 28 sales 0.0% 2.0% 4.0% 6.0% 6.5% 5.7% Discount from original list, average

The average is 6.5% for homes with a view and 5.7% for homes without a view. Defined in 8.1.6.

– No clear difference · could be chance

6.9 How often: price cut before sale, seller paid closing costs or repairs

2026-11-03T07:45:35.473391 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 60 80 39 68 View No view

Each bar is the share of homes in the group, in percent.

  • 60% of homes with a view had a price cut before sale, against 39% of homes without a view. Defined in 8.1.7.
  • 80% of homes with a view had the seller pay closing costs or repairs, against 68% of homes without a view. Defined in 8.1.8.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance

6.10 The numbers: price and size

View5 salesNo view28 salesAll33 salesReal difference?
Net sale price average$326,898$291,678$297,015unclear
Net price per SF average$157$147$149unclear
Living area average2,3112,1272,155unclear
Year built median200620042004unclear

6.11 The numbers: selling

View5 salesNo view28 salesAll33 salesReal difference?
Days on market median624852unclear
Discount from original list average6.5%5.7%5.8%unclear
Price cut before sale60%39%42%unclear
Seller paid closing costs or repairs80%68%70%unclear

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.4.

7. New constructionBasic statistics · 0 sales · November 3, 2025 – November 2, 2026

Homes sold new by the builder in the same 365 days. They are left out of every other section and shown here as basic figures only: 0 sales, no groups, no tests.

Note: these are only the new-construction sales reported in ABOR MLS. Builders often sell homes without listing them in the MLS, so these figures do not necessarily represent all new-construction sales in Legends Hutto Ph 03.

No new-construction sales were reported in ABOR MLS in this window.

Same definitions as the rest of the study (section 8). New construction = NewConstructionYN true, or PropertyCondition “New Construction” or “Under Construction”.

8. AppendixMeasures, methods and tests

Each measure and method three ways: in plain words, as statistics, and with the data from this study.

8.1 Measures

8.1.1 Net sale price

In simple terms
What the seller actually kept: the closing price, less money the seller gave back to the buyer for closing costs or repairs. It is the truest price for comparing homes.
Statistically
Net = ClosePrice − ACTRIS_BuyersClsgCostPdbySell − ACTRIS_RepairsAmount (a blank counts as $0). Summarized by the arithmetic mean in the slices.
The data
33 resale sales. Average $297,015; median $295,850; standard deviation $43,065; middle half (25th–75th percentile) $265,000–$320,500; lowest $223,100, highest $414,800. 23 sales had a seller payment; their median payment was $10,000.

8.1.2 Net price per SF

In simple terms
Net sale price divided by the heated and cooled square feet. It puts homes of different sizes on the same footing: did buyers pay more for each square foot, not just for more square feet?
Statistically
psf = Net ÷ LivingArea, per sale; summarized by the mean of the per-sale ratios.
The data
33 resale sales. Average $149; median $137; standard deviation $38; middle half (25th–75th percentile) $119–$180; lowest $83, highest $221.

8.1.3 Living area

In simple terms
The heated and cooled space, as listed in the MLS. Garages and porches are not counted.
Statistically
RESO LivingArea, in square feet. Sales under 400 SF are treated as entry errors and left out.
The data
33 resale sales. Average 2,155; median 1,936; standard deviation 711; middle half (25th–75th percentile) 1,681–2,594; lowest 1,009, highest 3,640.

8.1.4 Year built

In simple terms
The year the home was finished, as listed in the MLS. It shows whether a group leans to older or newer phases of the community.
Statistically
RESO YearBuilt; summarized by the median, with the 25th–75th percentile (middle half) on the charts.
The data
33 resale sales. Average 2004; median 2004; standard deviation 3; middle half (25th–75th percentile) 2002–2006; lowest 2000, highest 2014.

8.1.5 Days on market

In simple terms
How many days the home was on the market before the buyer's offer was accepted, counting any earlier listing periods (relists). This is the days on market agents and clients quote.
Statistically
CDOM = max(CumulativeDaysOnMarket, DaysOnMarket, PurchaseContractDate − ListingContractDate). The MLS counter can freeze at a price change, so the contract-date gap is a floor. Summarized by the median, because a few homes that sat for months pull an average up.
The data
33 resale sales. Average 74; median 52; standard deviation 89; middle half (25th–75th percentile) 20–104; lowest 4, highest 429. 0 sales went under contract on their listing date (0 days).

8.1.6 Discount from original list

In simple terms
How far below the first asking price the home sold, after seller payments. It measures how much negotiating room sellers gave up. A negative figure means the home sold above its first asking price.
Statistically
Discount % = (OriginalListPrice − Net) ÷ OriginalListPrice × 100, per sale; summarized by the mean.
The data
33 resale sales. Average 5.8%; median 4.2%; standard deviation 5.8%; middle half (25th–75th percentile) 1.9%–11.6%; lowest −3.4%, highest 16.2%. 5 sales closed above their first asking price.

8.1.7 Price cut before sale

In simple terms
The asking price was lowered at least once before the home went under contract.
Statistically
Indicator: ListPrice at close < OriginalListPrice. Reported as the share of sales (%).
The data
14 of 33 resale sales (42.4%).

8.1.8 Seller paid closing costs or repairs

In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
23 of 33 resale sales (69.7%).

8.1.9 Has a view

In simple terms
The MLS says the home looks over something: a greenbelt or park, trees, golf course, hill country, water and similar.
Statistically
View = the View field holds any entry other than “None”, “Neighborhood” or “See Remarks”. No view = only “None” and/or “Neighborhood”. A record whose only entry is “See Remarks” cannot be classified and is left out of the view slice.
The data
5 sales with a view, 28 without, 0 unclassified. Most common View entries: None 21, Neighborhood 7, Park/Greenbelt 4, Orchard 2, Pasture 1, Skyline 1, Trees/Woods 1.

8.2 Methods

8.2.1 Data source

In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
ABOR MLS via secure APIs, read from ALEX's copy of the MLS (refreshed every 15 minutes; this pull as of 2026-11-03 13:45 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Hutto, SubdivisionName contains any of “legends hutto”, “legends of hutto”, “creekside estates” (case-insensitive). A record is kept when its subdivision name belongs to the Legends Hutto Ph 03 family, the same rule comparable sales use (it includes Legends Of Hutto Ph 5B, Creekside Estates Sec 1, proven adjacent and priced alike).
The data
Pulled November 3, 2026: 33 closed Legends Hutto Ph 03 records over the prior year, in ZIP 78634. 15 subdivision spellings kept, the most common: Legends Of Hutto Ph 5B (5); Legends Hutto Ph 01 (4); Creekside Estates Sec 1 (3); Legends Hutto Ph 04 (3); Legends Hutto (2); LEGENDS OF HUTTO (2); Legends Hutto Ph 03 (2); Legends Of Hutto Ph 4 (2); Creekside Estates Sec 3 (2); Legends Hutto Ph 02 (2); Legends Of Hutto Ph 5b (2); Legends Hutto Ph 5A (1); and 3 more (3 records). No other names were found by the search.

8.2.2 Study window

In simple terms
The most recent 365 days of closed sales: recent enough to describe today's market, long enough to give each group plenty of sales. The usual window is 180 days; it holds only 18 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from November 3, 2025 to November 2, 2026 inclusive.
The data
33 single-family sales in the window: 33 resale, 0 new construction.

8.2.3 Resale and new construction

In simple terms
A resale home was previously owned. New construction is sold by the builder and behaves differently, so it is kept out of every analysis and reported once on its own.
Statistically
New construction = NewConstructionYN true, or PropertyCondition contains “New Construction” or “Under Construction”. Everything else is resale.
The data
33 resale; 0 new construction.

8.2.4 Sales left out

In simple terms
A few records cannot be used as entered and are left out before any analysis.
Statistically
Excluded: PropertySubType other than Single Family Residence; no OriginalListPrice; LivingArea under 400 SF; seller payments above 10% of ClosePrice (treated as entry errors).
The data
None in this window.

8.2.5 Quartiles and groups

In simple terms
Sales lined up from lowest to highest and cut into four groups of about equal size. Each group is named by its range, for example “Under $265K”.
Statistically
Sort by the slicing variable; cut k sits at round(nk/4), k = 1…3. A cut that would split tied values moves to the nearer edge of the tie. A group under 3 sales merges into its smaller neighbor. Range names use the next group's lowest value (“Under”) and the previous group's highest value (“Over”/“After”).
The data
Quartiles by net sale price: Under $265K: $223,100–$263,000 (8 sales); $265K–$292K: $265,000–$292,000 (8 sales); $296K–$320K: $295,850–$320,500 (9 sales); Over $320K: $335,630–$414,800 (8 sales)
Quartiles by living area: Under 1,681 SF: 1,009–1,554 SF (8 sales); 1,681–1,904 SF: 1,681–1,904 SF (8 sales); 1,936–2,594 SF: 1,936–2,594 SF (9 sales); Over 2,594 SF: 2,660–3,640 SF (8 sales)
Quartiles by year built: Before 2002: 2000–2001 (6 sales); 2002–2003: 2002–2003 (9 sales); 2004–2006: 2004–2006 (11 sales); After 2006: 2007–2014 (7 sales)
View and no view: View: MLS lists a view (5 sales); No view: None or Neighborhood (28 sales)

8.2.6 Average and median

In simple terms
The average adds the values and divides by how many; one very expensive home can pull it up. The median is the middle value, with half above and half below.
Statistically
Mean x̄ = (1/n) Σ xᵢ; median = 50th percentile. Price, price per SF, living area and discount use the mean; days on market and year built use the median (skewed or whole-year values).
The data
Net sale price: average $297,015, median $295,850. Days on market: average 74, median 52: the average is pulled up by a few long listings.

8.2.7 Kruskal–Wallis test

In simple terms
Checks whether a measure really differs across the four groups of a slice. It uses each sale's rank, not its value, so a few extreme sales cannot drive the answer.
Statistically
H = [12/(n(n+1))] Σ Rⱼ²/nⱼ − 3(n+1), compared with χ² on k − 1 degrees of freedom (Kruskal & Wallis, 1952). Effect size ε² = H/(n − 1): ≥ .01 small, ≥ .06 medium, ≥ .14 large (Tomczak & Tomczak, 2014). A slice is tested only when every group has at least 5 sales; smaller groups are described, not tested.
The data
Run on every measure in sections 3–5; each result is in 8.3.

8.2.8 Mann–Whitney U test

In simple terms
The same check when there are only two groups: view against no view.
Statistically
Two-sided U test (Mann & Whitney, 1947). Effect size = rank-biserial correlation |1 − 2U/(n₁n₂)|: ≥ .10 small, ≥ .30 medium, ≥ .50 large (Kerby, 2014; Cohen, 1988).
The data
Run on every measure in section 6; results in 8.3.

8.2.9 Chi-square test

In simple terms
Checks whether a yes/no share (price cut, seller payment, view) differs between groups more than chance would.
Statistically
Pearson χ² on the 2 × k table of counts, no continuity correction (Pearson, 1900). Effect size Cramér's V = √(χ²/n): ≥ .10 small, ≥ .30 medium, ≥ .50 large (Cramér, 1946).
The data
Run on the three shares in every slice; results in 8.3.

8.2.10 Real difference (significance)

In simple terms
“Real difference” means a gap this large would be very unlikely if the groups were really alike. Because many measures are checked in each slice, the bar is set higher than usual.
Statistically
Significant when p < 0.05 ÷ m, where m is the number of measures tested in that slice (Bonferroni; Dunn, 1961). The slicing variable itself differs by design and is not tested.
The data
Quartiles by net sale price: m = 8, threshold p < 0.0063; Quartiles by living area: m = 8, threshold p < 0.0063; Quartiles by year built: m = 8, threshold p < 0.0063; View and no view: m = 8, threshold p < 0.0063

8.2.11 Size of a difference

In simple terms
A difference can be real but small. The size word (small, medium, large) says how much the groups pull apart.
Statistically
ε² for Kruskal–Wallis, rank-biserial r for Mann–Whitney, Cramér's V for chi-square, with the thresholds above; below the small threshold the size is “negligible”.
The data
1 real differences across the four slices; sizes are listed in 8.3.

8.2.12 Rounding in the text

In simple terms
Headings and sentences round figures so they read easily; the tables at the end of each section give them in full.
Statistically
Prices in headings round to the nearest $1K; price per SF and days on market to the nearest whole number; living area to the nearest 10 SF; shares and percentage gaps to whole percents.
The data
Days on market is always shown in days.

8.3 Test results

Every test behind every gold box. Statistic, degrees of freedom (df), p-value, the threshold it must beat, and the size of the difference.

8.3.1 Quartiles by net sale price

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net price per SFKruskal–WallisH = 3.0530.3833p < 0.0063Unclearε² = 0.095medium
Living areaKruskal–WallisH = 10.9130.0122p < 0.0063Unclearε² = 0.341large
Year builtKruskal–WallisH = 8.2030.0420p < 0.0063Unclearε² = 0.256large
Days on marketKruskal–WallisH = 1.9330.5866p < 0.0063Unclearε² = 0.060medium
Discount from original listKruskal–WallisH = 4.8930.1800p < 0.0063Unclearε² = 0.153large
Price cut before saleChi-squareχ² = 0.7630.8590p < 0.0063UnclearCramér’s V = 0.152small
Seller paid closing costs or repairsChi-squareχ² = 1.1730.7598p < 0.0063UnclearCramér’s V = 0.188small
Has a viewChi-squareχ² = 4.6930.1956p < 0.0063UnclearCramér’s V = 0.377medium

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 9.5230.0231p < 0.0063Unclearε² = 0.298large
Net price per SFKruskal–WallisH = 27.393< 0.0001p < 0.0063Yesε² = 0.856large
Year builtKruskal–WallisH = 4.9230.1778p < 0.0063Unclearε² = 0.154large
Days on marketKruskal–WallisH = 3.9530.2674p < 0.0063Unclearε² = 0.123medium
Discount from original listKruskal–WallisH = 0.5930.8977p < 0.0063Unclearε² = 0.019small
Price cut before saleChi-squareχ² = 2.4130.4920p < 0.0063UnclearCramér’s V = 0.270small
Seller paid closing costs or repairsChi-squareχ² = 1.6330.6521p < 0.0063UnclearCramér’s V = 0.222small
Has a viewChi-squareχ² = 2.8630.4140p < 0.0063UnclearCramér’s V = 0.294small

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 9.8930.0196p < 0.0063Unclearε² = 0.309large
Net price per SFKruskal–WallisH = 8.5430.0360p < 0.0063Unclearε² = 0.267large
Living areaKruskal–WallisH = 9.9130.0193p < 0.0063Unclearε² = 0.310large
Days on marketKruskal–WallisH = 9.2530.0261p < 0.0063Unclearε² = 0.289large
Discount from original listKruskal–WallisH = 2.5130.4738p < 0.0063Unclearε² = 0.078medium
Price cut before saleChi-squareχ² = 7.8030.0504p < 0.0063UnclearCramér’s V = 0.486medium
Seller paid closing costs or repairsChi-squareχ² = 0.7730.8570p < 0.0063UnclearCramér’s V = 0.153small
Has a viewChi-squareχ² = 1.4230.7009p < 0.0063UnclearCramér’s V = 0.207small

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 106.50—0.0706p < 0.0063Unclearrank-biserial r = 0.521large
Net price per SFMann–Whitney UU = 76.00—0.7890p < 0.0063Unclearrank-biserial r = 0.086negligible
Living areaMann–Whitney UU = 75.00—0.8212p < 0.0063Unclearrank-biserial r = 0.071negligible
Year builtMann–Whitney UU = 82.50—0.5439p < 0.0063Unclearrank-biserial r = 0.179small
Days on marketMann–Whitney UU = 83.00—0.5300p < 0.0063Unclearrank-biserial r = 0.186small
Discount from original listMann–Whitney UU = 72.00—0.9419p < 0.0063Unclearrank-biserial r = 0.029negligible
Price cut before saleChi-squareχ² = 0.7510.3880p < 0.0063UnclearCramér’s V = 0.150small
Seller paid closing costs or repairsChi-squareχ² = 0.3010.5863p < 0.0063UnclearCramér’s V = 0.095negligible

8.4 Data notes

Left out of the analysis: 0 new-construction sales (basic statistics only, section 7); nothing else. Statistics: Python, NumPy 2.5.3, SciPy 1.18.1.

8.5 References

  1. Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Erlbaum.
  2. Cramér, H. (1946). Mathematical Methods of Statistics. Princeton University Press.
  3. Dunn, O. J. (1961). Multiple comparisons among means. JASA, 56(293), 52–64.
  4. Kerby, D. S. (2014). The simple difference formula: an approach to teaching nonparametric correlation. Comprehensive Psychology, 3, 11.IT.3.1.
  5. Kruskal, W. H., & Wallis, W. A. (1952). Use of ranks in one-criterion variance analysis. JASA, 47(260), 583–621.
  6. Mann, H. B., & Whitney, D. R. (1947). On a test of whether one of two random variables is stochastically larger than the other. Annals of Mathematical Statistics, 18(1), 50–60.
  7. Pearson, K. (1900). On the criterion that a given system of deviations… Philosophical Magazine, 50(302), 157–175.
  8. Tomczak, M., & Tomczak, E. (2014). The need to report effect size estimates revisited. Trends in Sport Sciences, 21(1), 19–25.

This is a market study of closed sales, not an appraisal or an opinion of value for any home. The analysis covers 33 closed MLS resale sales; the 0 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled November 3, 2026. Map data © OpenStreetMap contributors. ALEX Companies · Licensed by the Texas Real Estate Commission · Broker: Alexander Tiffany Southwest, LLC (ALEX Real Estate), #565194-BB · Diane Hart Alexander, Designated Broker, #574877-B.