ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Horizon Park

Leander, TX 78641
Resale homes · closed Nov 9 – Nov 8, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
November 9, 2026 · 5:21 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
23
single-family resale homes
Median net sale price
$329,500
average $341,361
Median net price per SF
$167
average $168
Median days on market
43 days
average 47 days
1. SummaryResale homes · 23 sales · November 9, 2025 – November 8, 2026

This study looks at the 23 resale homes sold in Horizon Park in the 365 days to November 8, 2026. A full year is used because only 16 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 sold23 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 $311K · 6 sales$311K–$330K · 6 sales$334K–$374K · 5 salesOver $374K · 6 sales
3. Quartiles by net sale priceResale homes · 23 sales · November 9, 2025 – November 8, 2026

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

2026-11-09T05:21:52.414103 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 6 5 6 23 sales Sales per group Under $311K: 6 sales (26%) $311K–$330K: 6 sales (26%) $334K–$374K: 5 sales (22%) Over $374K: 6 sales (26%)
Bottom line

3.1 Key differences

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

Under $311K$311K–$330K$334K–$374KOver $374K
Higher-priced homes Over $374K
  • Are much larger.
Lower-priced homes Under $311K
  • Are much smaller.

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 $311K$311K–$330K$334K–$374KOver $374KReal difference?
Net price per SF$168 per SF$186 per SF$155 per SF$161 per SFunclear
Living area1,688 SFSmallest1,747 SF2,301 SF2,627 SFLargest✓ large
Year built2001200220032001unclear
Days on market23 days42 days67 days43 daysunclear
Discount from original list10.2%3.5%7.4%6.2%unclear
Price cut before sale50%33%80%50%unclear
Seller paid closing costs or repairs50%83%80%67%unclear
Has a view0%0%20%17%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

2026-11-09T05:21:52.446535 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $311K 6 sales $311K– $330K 6 sales $334K– $374K 5 sales Over $374K 6 sales $0 $100 $200 $168 $186 $155 $161 Net price per SF, average

The average is $161 per SF for homes over $374K and $168 per SF for homes under $311K. It does not move in a straight line; homes $311K–$330K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Homes over $374K are about 940 SF (56%) larger than homes under $311K

2026-11-09T05:21:52.474563 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $311K 6 sales $311K– $330K 6 sales $334K– $374K 5 sales Over $374K 6 sales 0 1,000 2,000 3,000 1,688 1,747 2,301 2,627 Living area (SF), average

The average is 2,627 SF for homes over $374K and 1,688 SF for homes under $311K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

✓ Real difference · large

3.5 Year built: no clear difference

2026-11-09T05:21:52.502072 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $311K 6 sales $311K– $330K 6 sales $334K– $374K 5 sales Over $374K 6 sales 2002 2004 2001 2002 2003 2001 Year built: median (dot) and middle half (bar)

The median is 2001 for homes over $374K and 2001 for homes under $311K. It does not move in a straight line; homes $334K–$374K are highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-11-09T05:21:52.531164 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $311K 6 sales $311K– $330K 6 sales $334K– $374K 5 sales Over $374K 6 sales 0 25 50 75 23 42 67 43 Days on market, median

The median is 43 days for homes over $374K and 23 days for homes under $311K. It does not move in a straight line; homes $334K–$374K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-11-09T05:21:52.557113 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $311K 6 sales $311K– $330K 6 sales $334K– $374K 5 sales Over $374K 6 sales 0.0% 5.0% 10.0% 10.2% 3.5% 7.4% 6.2% Discount from original list, average

The average is 6.2% for homes over $374K and 10.2% for homes under $311K. It does not move in a straight line; homes under $311K 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

2026-11-09T05:21:52.594096 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% 50% 0% 33% 83% 0% 80% 80% 20% 50% 67% 17% Under $311K $311K–$330K $334K–$374K Over $374K

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

  • 50% of homes over $374K had a price cut before sale, against 50% of homes under $311K. Defined in 8.1.7.
  • 67% of homes over $374K had the seller pay closing costs or repairs, against 50% of homes under $311K. Defined in 8.1.8.
  • 17% of homes over $374K have a view, against 0% of homes under $311K. 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 $311K6 sales$311K–$330K6 sales$334K–$374K5 salesOver $374K6 salesAll23 salesReal difference?
Net sale price average$278,400$319,225$354,220$415,742$341,361by design
Net price per SF average$168$186$155$161$168unclear
Living area average1,6881,7472,3012,6272,081✓ large
Year built median20012002200320012001unclear

3.10 The numbers: selling

Under $311K6 sales$311K–$330K6 sales$334K–$374K5 salesOver $374K6 salesAll23 salesReal difference?
Days on market median2342674343unclear
Discount from original list average10.2%3.5%7.4%6.2%6.8%unclear
Price cut before sale50%33%80%50%52%unclear
Seller paid closing costs or repairs50%83%80%67%70%unclear
Has a view0%0%20%17%9%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 · 23 sales · November 9, 2025 – November 8, 2026

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

2026-11-09T05:21:52.621318 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 7 5 6 23 sales Sales per group Under 1,716 SF: 5 sales (22%) 1,716–2,077 SF: 7 sales (30%) 2,132–2,300 SF: 5 sales (22%) Over 2,300 SF: 6 sales (26%)
Bottom line

4.1 Key differences

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

Under 1,716 SF1,716–2,077 SF2,132–2,300 SFOver 2,300 SF
Larger homes Over 2,300 SF
  • Sell for much more.
Smaller homes Under 1,716 SF
  • Sell for much less.

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 1,716 SF1,716–2,077 SF2,132–2,300 SFOver 2,300 SFReal difference?
Net sale price$283KLowest$319K$354K$406KHighest✓ large
Net price per SF$193 per SF$173 per SF$162 per SF$148 per SFunclear
Year built2002200120012002unclear
Days on market40 days28 days54 days60 daysunclear
Discount from original list8.3%4.8%6.3%8.3%unclear
Price cut before sale40%29%80%67%unclear
Seller paid closing costs or repairs20%86%80%83%unclear
Has a view0%0%40%0%unclear

4.3 Homes over 2,300 SF sell for about $123K (43%) more than homes under 1,716 SF

2026-11-09T05:21:52.645707 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,716 SF 5 sales 1,716– 2,077 SF 7 sales 2,132– 2,300 SF 5 sales Over 2,300 SF 6 sales $0K $200K $400K $283K $319K $354K $406K Net sale price, average

The average is $406K for homes over 2,300 SF and $283K for homes under 1,716 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

✓ Real difference · large

4.4 Net price per SF: no clear difference

2026-11-09T05:21:52.675155 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,716 SF 5 sales 1,716– 2,077 SF 7 sales 2,132– 2,300 SF 5 sales Over 2,300 SF 6 sales $0 $100 $200 $193 $173 $162 $148 Net price per SF, average

The average is $148 per SF for homes over 2,300 SF and $193 per SF for homes under 1,716 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-11-09T05:21:52.703199 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,716 SF 5 sales 1,716– 2,077 SF 7 sales 2,132– 2,300 SF 5 sales Over 2,300 SF 6 sales 2001 2002 2003 2002 2001 2001 2002 Year built: median (dot) and middle half (bar)

The median is 2002 for homes over 2,300 SF and 2002 for homes under 1,716 SF. It does not move in a straight line; homes under 1,716 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-11-09T05:21:52.730781 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,716 SF 5 sales 1,716– 2,077 SF 7 sales 2,132– 2,300 SF 5 sales Over 2,300 SF 6 sales 0 20 40 60 40 28 54 60 Days on market, median

The median is 60 days for homes over 2,300 SF and 40 days for homes under 1,716 SF. It does not move in a straight line; homes over 2,300 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-11-09T05:21:52.759434 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,716 SF 5 sales 1,716– 2,077 SF 7 sales 2,132– 2,300 SF 5 sales Over 2,300 SF 6 sales 0.0% 2.5% 5.0% 7.5% 8.3% 4.8% 6.3% 8.3% Discount from original list, average

The average is 8.3% for homes over 2,300 SF and 8.3% for homes under 1,716 SF. It does not move in a straight line; homes over 2,300 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

2026-11-09T05:21:52.788690 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% 40% 20% 0% 29% 86% 0% 80% 80% 40% 67% 83% 0% Under 1,716 SF 1,716–2,077 SF 2,132–2,300 SF Over 2,300 SF

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

  • 67% of homes over 2,300 SF had a price cut before sale, against 40% of homes under 1,716 SF. Defined in 8.1.7.
  • 83% of homes over 2,300 SF had the seller pay closing costs or repairs, against 20% of homes under 1,716 SF. Defined in 8.1.8.
  • 0% of homes over 2,300 SF have a view, against 0% of homes under 1,716 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 1,716 SF5 sales1,716–2,077 SF7 sales2,132–2,300 SF5 salesOver 2,300 SF6 salesAll23 salesReal difference?
Net sale price average$282,880$318,907$354,020$405,742$341,361✓ large
Net price per SF average$193$173$162$148$168unclear
Living area average1,4851,8472,1922,7582,081by design
Year built median20022001200120022001unclear

4.10 The numbers: selling

Under 1,716 SF5 sales1,716–2,077 SF7 sales2,132–2,300 SF5 salesOver 2,300 SF6 salesAll23 salesReal difference?
Days on market median4028546043unclear
Discount from original list average8.3%4.8%6.3%8.3%6.8%unclear
Price cut before sale40%29%80%67%52%unclear
Seller paid closing costs or repairs20%86%80%83%70%unclear
Has a view0%0%40%0%9%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 · 23 sales · November 9, 2025 – November 8, 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.

2026-11-09T05:21:52.817316 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 7 3 7 23 sales Sales per group Before 2001: 6 sales (26%) 2001: 7 sales (30%) 2002: 3 sales (13%) After 2002: 7 sales (30%)
Bottom line: too few sales to test.

5.1 Key differences

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

5.3 Net sale price: described, not tested

2026-11-09T05:21:52.843797 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2001 6 sales 2001 7 sales 2002 3 sales After 2002 7 sales $0K $100K $200K $300K $400K $333K $340K $309K $363K Net sale price, average

The average is $363K for homes built after 2002 and $333K for homes built before 2001. It does not move in a straight line; homes built after 2002 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-11-09T05:21:52.875789 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2001 6 sales 2001 7 sales 2002 3 sales After 2002 7 sales $0 $50 $100 $150 $200 $159 $171 $200 $161 Net price per SF, average

The average is $161 per SF for homes built after 2002 and $159 per SF for homes built before 2001. It does not move in a straight line; homes built 2002 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-11-09T05:21:52.903126 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2001 6 sales 2001 7 sales 2002 3 sales After 2002 7 sales 0 1,000 2,000 2,103 2,058 1,558 2,311 Living area (SF), average

The average is 2,311 SF for homes built after 2002 and 2,103 SF for homes built before 2001. It does not move in a straight line; homes built after 2002 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-11-09T05:21:52.928123 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2001 6 sales 2001 7 sales 2002 3 sales After 2002 7 sales 0 20 40 60 51 50 36 34 Days on market, median

The median is 34 days for homes built after 2002 and 51 days for homes built before 2001. It falls step by step from the lowest range to the highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-11-09T05:21:52.958734 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2001 6 sales 2001 7 sales 2002 3 sales After 2002 7 sales 0.0% 5.0% 10.0% 12.4% 6.5% 0.7% 5.0% Discount from original list, average

The average is 5.0% for homes built after 2002 and 12.4% for homes built before 2001. It does not move in a straight line; homes built before 2001 are highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-11-09T05:21:52.987815 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% 100% 83% 0% 57% 71% 14% 0% 67% 0% 29% 57% 14% Before 2001 2001 2002 After 2002

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

  • 29% of homes built after 2002 had a price cut before sale, against 100% of homes built before 2001. Defined in 8.1.7.
  • 57% of homes built after 2002 had the seller pay closing costs or repairs, against 83% of homes built before 2001. Defined in 8.1.8.
  • 14% of homes built after 2002 have a view, against 0% of homes built before 2001. Defined in 8.1.9.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.
Has a view: Not tested: too few sales.

5.9 The numbers: price and size

Before 20016 sales20017 sales20023 salesAfter 20027 salesAll23 sales
Net sale price average$333,242$340,343$309,283$363,086$341,361
Net price per SF average$159$171$200$161$168
Living area average2,1032,0581,5582,3112,081
Year built median20002001200220042001

5.10 The numbers: selling

Before 20016 sales20017 sales20023 salesAfter 20027 salesAll23 sales
Days on market median5150363443
Discount from original list average12.4%6.5%0.7%5.0%6.8%
Price cut before sale100%57%0%29%52%
Seller paid closing costs or repairs83%71%67%57%70%
Has a view0%14%0%14%9%

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 · 23 sales · November 9, 2025 – November 8, 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. 1 sales whose MLS view entry is only “See Remarks” are left out.

2026-11-09T05:21:53.008510 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 2 20 22 sales Sales per group View: 2 sales (9%) No view: 20 sales (91%)
Bottom line: too few sales to test.

6.1 Key differences

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

6.3 Net sale price: described, not tested

2026-11-09T05:21:53.031529 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 20 sales $0K $100K $200K $300K $400K $382K $338K Net sale price, average

The average is $382K for homes with a view and $338K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-11-09T05:21:53.052554 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 20 sales $0 $50 $100 $150 $200 $172 $165 Net price per SF, average

The average is $172 per SF for homes with a view and $165 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-11-09T05:21:53.074195 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 20 sales 0 1,000 2,000 2,224 2,101 Living area (SF), average

The average is 2,224 SF for homes with a view and 2,101 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-11-09T05:21:53.193882 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 20 sales 2000 2001 2002 2003 2004 2003 2001 Year built: median (dot) and middle half (bar)

The median is 2003 for homes with a view and 2001 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-11-09T05:21:53.215714 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 20 sales 0 20 40 43 44 Days on market, median

The median is 43 days for homes with a view and 44 days for homes without a view. Defined in 8.1.5.

Not tested: too few sales.

6.8 Discount from original list: described, not tested

2026-11-09T05:21:53.236616 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 20 sales 0.0% 2.0% 4.0% 6.0% 8.0% 3.1% 7.5% Discount from original list, average

The average is 3.1% for homes with a view and 7.5% for homes without a view. Defined in 8.1.6.

Not tested: too few sales.

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

2026-11-09T05:21:53.257114 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 50% 50% 55% 70% View No view

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

  • 50% of homes with a view had a price cut before sale, against 55% of homes without a view. Defined in 8.1.7.
  • 50% of homes with a view had the seller pay closing costs or repairs, against 70% of homes without a view. Defined in 8.1.8.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.

6.10 The numbers: price and size

View2 salesNo view20 salesAll22 sales
Net sale price average$382,050$337,885$341,900
Net price per SF average$172$165$165
Living area average2,2242,1012,112
Year built median200320012001

6.11 The numbers: selling

View2 salesNo view20 salesAll22 sales
Days on market median434444
Discount from original list average3.1%7.5%7.1%
Price cut before sale50%55%55%
Seller paid closing costs or repairs50%70%68%

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 9, 2025 – November 8, 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 Horizon Park.

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
23 resale sales. Average $341,361; median $329,500; standard deviation $58,206; middle half (25th–75th percentile) $311,175–$376,050; lowest $213,000, highest $457,000. 16 sales had a seller payment; their median payment was $6,250.

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
23 resale sales. Average $168; median $167; standard deviation $26; middle half (25th–75th percentile) $145–$184; lowest $135, highest $236.

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
23 resale sales. Average 2,081; median 2,077; standard deviation 520; middle half (25th–75th percentile) 1,716–2,328; lowest 1,232, highest 3,282.

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
23 resale sales. Average 2002; median 2001; standard deviation 2; middle half (25th–75th percentile) 2000–2003; lowest 2000, highest 2005.

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
23 resale sales. Average 47; median 43; standard deviation 35; middle half (25th–75th percentile) 23–54; lowest 4, highest 126. 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
23 resale sales. Average 6.8%; median 6.0%; standard deviation 6.5%; middle half (25th–75th percentile) 2.4%–9.4%; lowest −1.8%, highest 29.0%. 1 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
12 of 23 resale sales (52.2%).

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
16 of 23 resale sales (69.6%).

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
2 sales with a view, 20 without, 1 unclassified. Most common View entries: None 17, Neighborhood 3, Panoramic 1, Park/Greenbelt 1, See Remarks 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 2026-11-09 11:15 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Leander, SubdivisionName contains any of “horizon park” (case-insensitive). A record is kept when its subdivision name belongs to the Horizon Park family, the same rule comparable sales use.
The data
Pulled November 9, 2026: 23 closed Horizon Park records over the prior year, in ZIP 78641. 11 subdivision spellings kept: Horizon Park Sec 2 (7); Horizon Park Sec 1 (4); Horizon Park Sec 7 (3); Horizon Park Sec 5 (2); Horizon Park Sec 03 (1); Horizon Park Sec 6 (1); Horizon Park (1); Horizon Park Sec 4 (1); Horizon Park Sec 3 (1); Horizon Park Sec 01 Pts Blk Abt & R Amd (1); Horizon Park Sec 05 (1). 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 16 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from November 9, 2025 to November 8, 2026 inclusive.
The data
23 single-family sales in the window: 23 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
23 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 $311K”.
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 $311K: $213,000–$311,000 (6 sales); $311K–$330K: $311,350–$329,500 (6 sales); $334K–$374K: $334,000–$374,100 (5 sales); Over $374K: $378,000–$457,000 (6 sales)
Quartiles by living area: Under 1,716 SF: 1,232–1,696 SF (5 sales); 1,716–2,077 SF: 1,716–2,077 SF (7 sales); 2,132–2,300 SF: 2,132–2,300 SF (5 sales); Over 2,300 SF: 2,355–3,282 SF (6 sales)
Quartiles by year built: Before 2001: 2000–2000 (6 sales); 2001: 2001–2001 (7 sales); 2002: 2002–2002 (3 sales); After 2002: 2003–2005 (7 sales)
View and no view: View: MLS lists a view (2 sales); No view: None or Neighborhood (20 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 $341,361, median $329,500. Days on market: average 47, median 43: 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

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
2 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 = 4.6530.1997p < 0.0063Unclearε² = 0.211large
Living areaKruskal–WallisH = 14.2230.0026p < 0.0063Yesε² = 0.646large
Year builtKruskal–WallisH = 1.7430.6279p < 0.0063Unclearε² = 0.079medium
Days on marketKruskal–WallisH = 4.6730.1972p < 0.0063Unclearε² = 0.212large
Discount from original listKruskal–WallisH = 3.2130.3602p < 0.0063Unclearε² = 0.146large
Price cut before saleChi-squareχ² = 2.4330.4885p < 0.0063UnclearCramér’s V = 0.325medium
Seller paid closing costs or repairsChi-squareχ² = 1.9030.5928p < 0.0063UnclearCramér’s V = 0.288small
Has a viewChi-squareχ² = 2.4330.4885p < 0.0063UnclearCramér’s V = 0.325medium

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 14.3730.0024p < 0.0063Yesε² = 0.653large
Net price per SFKruskal–WallisH = 8.3430.0394p < 0.0063Unclearε² = 0.379large
Year builtKruskal–WallisH = 0.2830.9645p < 0.0063Unclearε² = 0.013small
Days on marketKruskal–WallisH = 5.5430.1360p < 0.0063Unclearε² = 0.252large
Discount from original listKruskal–WallisH = 1.7830.6189p < 0.0063Unclearε² = 0.081medium
Price cut before saleChi-squareχ² = 3.9230.2706p < 0.0063UnclearCramér’s V = 0.413medium
Seller paid closing costs or repairsChi-squareχ² = 7.4630.0586p < 0.0063UnclearCramér’s V = 0.569large
Has a viewChi-squareχ² = 7.8930.0484p < 0.0063UnclearCramér’s V = 0.586large

8.3.3 Quartiles by year built

Too few sales in a group to test.

8.3.4 View and no view

Too few sales in a group to test.

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 23 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 9, 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.