ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Ranch At Brushy Creek Sec 01

Cedar Park, TX 78613
Resale homes · closed Nov 7 – Nov 6, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
November 7, 2026 · 7:39 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
48
single-family resale homes
Median net sale price
$799,250
average $825,510
Median net price per SF
$240
average $247
Median days on market
21 days
average 59 days
1. SummaryResale homes · 48 sales · November 7, 2025 – November 6, 2026

This study looks at the 48 resale homes sold in Ranch At Brushy Creek Sec 01 in the 365 days to November 6, 2026. A full year is used because only 24 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 sold48 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 $630K · 12 sales$630K–$795K · 12 sales$804K–$894K · 12 salesOver $894K · 12 sales
3. Quartiles by net sale priceResale homes · 48 sales · November 7, 2025 – November 6, 2026

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

2026-11-07T07:39:19.810382 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 12 12 12 12 48 sales Sales per group Under $630K: 12 sales (25%) $630K–$795K: 12 sales (25%) $804K–$894K: 12 sales (25%) Over $894K: 12 sales (25%)
Bottom line

3.1 Key differences

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

Under $630K$630K–$795K$804K–$894KOver $894K
Higher-priced homes Over $894K
  • Are much larger.
  • Sell for more per square foot.
Lower-priced homes Under $630K
  • Are much smaller.
  • Sell for less per square foot.

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 $630K$630K–$795K$804K–$894KOver $894KReal difference?
Net price per SF$237 per SF$229 per SFLowest$242 per SF$280 per SFHighest✓ large
Living area2,450 SFSmallest3,098 SF3,519 SF4,224 SFLargest✓ large
Year built2007200920102014unclear
Days on market63 days20 days14 days20 daysunclear
Discount from original list7.9%3.5%2.8%6.0%unclear
Price cut before sale58%17%25%42%unclear
Seller paid closing costs or repairs67%83%42%58%unclear
Has a view8%25%25%42%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 Homes over $894K sell for about $44 per SF (18%) more than homes under $630K

2026-11-07T07:39:19.841858 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $630K 12 sales $630K– $795K 12 sales $804K– $894K 12 sales Over $894K 12 sales $0 $100 $200 $300 $237 $229 $242 $280 Net price per SF, average

The average is $280 per SF for homes over $894K and $237 per SF for homes under $630K. It does not move in a straight line; homes over $894K are highest. Defined in 8.1.2.

✓ Real difference · large

3.4 Homes over $894K are about 1,770 SF (72%) larger than homes under $630K

2026-11-07T07:39:19.866849 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $630K 12 sales $630K– $795K 12 sales $804K– $894K 12 sales Over $894K 12 sales 0 2,000 4,000 2,450 3,098 3,519 4,224 Living area (SF), average

The average is 4,224 SF for homes over $894K and 2,450 SF for homes under $630K. 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

2026-11-07T07:39:19.892760 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $630K 12 sales $630K– $795K 12 sales $804K– $894K 12 sales Over $894K 12 sales 2006 2008 2010 2012 2014 2007 2009 2010 2014 Year built: median (dot) and middle half (bar)

The median is 2014 for homes over $894K and 2007 for homes under $630K. 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

2026-11-07T07:39:19.916550 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $630K 12 sales $630K– $795K 12 sales $804K– $894K 12 sales Over $894K 12 sales 0 20 40 60 63 20 14 20 Days on market, median

The median is 20 days for homes over $894K and 63 days for homes under $630K. It does not move in a straight line; homes under $630K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-11-07T07:39:19.940152 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $630K 12 sales $630K– $795K 12 sales $804K– $894K 12 sales Over $894K 12 sales 0.0% 2.5% 5.0% 7.5% 7.9% 3.5% 2.8% 6.0% Discount from original list, average

The average is 6.0% for homes over $894K and 7.9% for homes under $630K. It does not move in a straight line; homes under $630K 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

2026-11-07T07:39:19.972461 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% 58 67 8 17 83 25 25 42 25 42 58 42 Under $630K $630K–$795K $804K–$894K Over $894K

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

  • 42% of homes over $894K had a price cut before sale, against 58% of homes under $630K. Defined in 8.1.7.
  • 58% of homes over $894K had the seller pay closing costs or repairs, against 67% of homes under $630K. Defined in 8.1.8.
  • 42% of homes over $894K have a view, against 8% of homes under $630K. 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 $630K12 sales$630K–$795K12 sales$804K–$894K12 salesOver $894K12 salesAll48 salesReal difference?
Net sale price average$569,338$708,258$842,250$1,182,193$825,510by design
Net price per SF average$237$229$242$280$247✓ large
Living area average2,4503,0983,5194,2243,323✓ large
Year built median20072009201020142010unclear

3.10 The numbers: selling

Under $630K12 sales$630K–$795K12 sales$804K–$894K12 salesOver $894K12 salesAll48 salesReal difference?
Days on market median6320142021unclear
Discount from original list average7.9%3.5%2.8%6.0%5.0%unclear
Price cut before sale58%17%25%42%35%unclear
Seller paid closing costs or repairs67%83%42%58%62%unclear
Has a view8%25%25%42%25%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 · 48 sales · November 7, 2025 – November 6, 2026

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

2026-11-07T07:39:19.994192 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 12 12 12 12 48 sales Sales per group Under 2,775 SF: 12 sales (25%) 2,775–3,273 SF: 12 sales (25%) 3,277–3,828 SF: 12 sales (25%) Over 3,828 SF: 12 sales (25%)
Bottom line

4.1 Key differences

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

Under 2,775 SF2,775–3,273 SF3,277–3,828 SFOver 3,828 SF
Larger homes Over 3,828 SF
  • Sell for much more.
Smaller homes Under 2,775 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 2,775 SF2,775–3,273 SF3,277–3,828 SFOver 3,828 SFReal difference?
Net sale price$576KLowest$750K$836K$1.14MHighest✓ large
Net price per SF$243 per SF$248 per SF$234 per SF$263 per SFunclear
Year built2007201020112012unclear
Days on market63 days15 days20 days24 daysunclear
Discount from original list7.4%3.1%4.7%5.0%unclear
Price cut before sale58%17%25%42%unclear
Seller paid closing costs or repairs67%58%75%50%unclear
Has a view8%42%17%33%unclear

4.3 Homes over 3,828 SF sell for about $565K (98%) more than homes under 2,775 SF

2026-11-07T07:39:20.017470 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,775 SF 12 sales 2,775– 3,273 SF 12 sales 3,277– 3,828 SF 12 sales Over 3,828 SF 12 sales $0K $500K $1.00M $576K $750K $836K $1.14M Net sale price, average

The average is $1.14M for homes over 3,828 SF and $576K for homes under 2,775 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

2026-11-07T07:39:20.041047 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,775 SF 12 sales 2,775– 3,273 SF 12 sales 3,277– 3,828 SF 12 sales Over 3,828 SF 12 sales $0 $100 $200 $300 $243 $248 $234 $263 Net price per SF, average

The average is $263 per SF for homes over 3,828 SF and $243 per SF for homes under 2,775 SF. It does not move in a straight line; homes over 3,828 SF are highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-11-07T07:39:20.065553 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,775 SF 12 sales 2,775– 3,273 SF 12 sales 3,277– 3,828 SF 12 sales Over 3,828 SF 12 sales 2008 2010 2012 2014 2007 2010 2011 2012 Year built: median (dot) and middle half (bar)

The median is 2012 for homes over 3,828 SF and 2007 for homes under 2,775 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

2026-11-07T07:39:20.088769 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,775 SF 12 sales 2,775– 3,273 SF 12 sales 3,277– 3,828 SF 12 sales Over 3,828 SF 12 sales 0 20 40 60 63 15 20 24 Days on market, median

The median is 24 days for homes over 3,828 SF and 63 days for homes under 2,775 SF. It does not move in a straight line; homes under 2,775 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-11-07T07:39:20.111575 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,775 SF 12 sales 2,775– 3,273 SF 12 sales 3,277– 3,828 SF 12 sales Over 3,828 SF 12 sales 0.0% 2.5% 5.0% 7.5% 7.4% 3.1% 4.7% 5.0% Discount from original list, average

The average is 5.0% for homes over 3,828 SF and 7.4% for homes under 2,775 SF. It does not move in a straight line; homes under 2,775 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

2026-11-07T07:39:20.138774 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% 58 67 8 17 58 42 25 75 17 42 50 33 Under 2,775 SF 2,775–3,273 SF 3,277–3,828 SF Over 3,828 SF

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

  • 42% of homes over 3,828 SF had a price cut before sale, against 58% of homes under 2,775 SF. Defined in 8.1.7.
  • 50% of homes over 3,828 SF had the seller pay closing costs or repairs, against 67% of homes under 2,775 SF. Defined in 8.1.8.
  • 33% of homes over 3,828 SF have a view, against 8% of homes under 2,775 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 2,775 SF12 sales2,775–3,273 SF12 sales3,277–3,828 SF12 salesOver 3,828 SF12 salesAll48 salesReal difference?
Net sale price average$575,555$749,608$835,849$1,141,026$825,510✓ large
Net price per SF average$243$248$234$263$247unclear
Living area average2,3883,0193,5664,3183,323by design
Year built median20072010201120122010unclear

4.10 The numbers: selling

Under 2,775 SF12 sales2,775–3,273 SF12 sales3,277–3,828 SF12 salesOver 3,828 SF12 salesAll48 salesReal difference?
Days on market median6315202421unclear
Discount from original list average7.4%3.1%4.7%5.0%5.0%unclear
Price cut before sale58%17%25%42%35%unclear
Seller paid closing costs or repairs67%58%75%50%62%unclear
Has a view8%42%17%33%25%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 · 48 sales · November 7, 2025 – November 6, 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.

2026-11-07T07:39:20.160799 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 9 16 11 12 48 sales Sales per group Before 2007: 9 sales (19%) 2007–2010: 16 sales (33%) 2011–2013: 11 sales (23%) After 2013: 12 sales (25%)
Bottom line

5.1 Key differences

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

Before 20072007–20102011–2013After 2013
Newer homes After 2013
  • Sell for more per square foot.
  • Sell for much more.
Older homes Before 2007
  • Sell for less per square foot.
  • Sell for much less.

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 20072007–20102011–2013After 2013Real difference?
Net sale price$654KLowest$785K$778K$1.05MHighest✓ large
Net price per SF$216 per SFLowest$247 per SF$243 per SF$275 per SFHighest✓ large
Living area3,033 SF3,187 SF3,217 SF3,818 SFunclear
Days on market10 days26 days27 days16 daysunclear
Discount from original list6.8%5.5%5.9%2.3%unclear
Price cut before sale33%38%55%17%unclear
Seller paid closing costs or repairs78%50%82%50%unclear
Has a view33%12%27%33%unclear

5.3 Homes built after 2013 sell for about $397K (61%) more than homes built before 2007

2026-11-07T07:39:20.182921 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2007 9 sales 2007– 2010 16 sales 2011– 2013 11 sales After 2013 12 sales $0K $500K $1.00M $654K $785K $778K $1.05M Net sale price, average

The average is $1.05M for homes built after 2013 and $654K for homes built before 2007. It does not move in a straight line; homes built after 2013 are highest. Defined in 8.1.1.

✓ Real difference · large

5.4 Homes built after 2013 sell for about $59 per SF (27%) more than homes built before 2007

2026-11-07T07:39:20.206560 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2007 9 sales 2007– 2010 16 sales 2011– 2013 11 sales After 2013 12 sales $0 $100 $200 $300 $216 $247 $243 $275 Net price per SF, average

The average is $275 per SF for homes built after 2013 and $216 per SF for homes built before 2007. It does not move in a straight line; homes built after 2013 are highest. Defined in 8.1.2.

✓ Real difference · large

5.5 Living area: no clear difference

2026-11-07T07:39:20.228919 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2007 9 sales 2007– 2010 16 sales 2011– 2013 11 sales After 2013 12 sales 0 2,000 4,000 3,033 3,187 3,217 3,818 Living area (SF), average

The average is 3,818 SF for homes built after 2013 and 3,033 SF for homes built before 2007. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-11-07T07:39:20.250732 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2007 9 sales 2007– 2010 16 sales 2011– 2013 11 sales After 2013 12 sales 0 10 20 30 10 26 27 16 Days on market, median

The median is 16 days for homes built after 2013 and 10 days for homes built before 2007. It does not move in a straight line; homes built 2011–2013 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-11-07T07:39:20.275410 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2007 9 sales 2007– 2010 16 sales 2011– 2013 11 sales After 2013 12 sales 0.0% 2.5% 5.0% 7.5% 6.8% 5.5% 5.9% 2.3% Discount from original list, average

The average is 2.3% for homes built after 2013 and 6.8% for homes built before 2007. It does not move in a straight line; homes built before 2007 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

2026-11-07T07:39:20.302826 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% 33 78 33 38 50 12 55 82 27 17 50 33 Before 2007 2007–2010 2011–2013 After 2013

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

  • 17% of homes built after 2013 had a price cut before sale, against 33% of homes built before 2007. Defined in 8.1.7.
  • 50% of homes built after 2013 had the seller pay closing costs or repairs, against 78% of homes built before 2007. Defined in 8.1.8.
  • 33% of homes built after 2013 have a view, against 33% of homes built before 2007. 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 20079 sales2007–201016 sales2011–201311 salesAfter 201312 salesAll48 salesReal difference?
Net sale price average$654,433$785,222$777,899$1,051,176$825,510✓ large
Net price per SF average$216$247$243$275$247✓ large
Living area average3,0333,1873,2173,8183,323unclear
Year built median20062008201220142010by design

5.10 The numbers: selling

Before 20079 sales2007–201016 sales2011–201311 salesAfter 201312 salesAll48 salesReal difference?
Days on market median1026271621unclear
Discount from original list average6.8%5.5%5.9%2.3%5.0%unclear
Price cut before sale33%38%55%17%35%unclear
Seller paid closing costs or repairs78%50%82%50%62%unclear
Has a view33%12%27%33%25%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 · 48 sales · November 7, 2025 – November 6, 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.

2026-11-07T07:39:20.322000 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 12 35 47 sales Sales per group View: 12 sales (26%) No view: 35 sales (74%)
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$936K$793Kunclear
Net price per SF$264 per SF$241 per SFunclear
Living area3,495 SF3,284 SFunclear
Year built20122009unclear
Days on market6 days32 daysunclear
Discount from original list4.4%5.4%unclear
Price cut before sale17%43%unclear
Seller paid closing costs or repairs58%63%unclear

6.3 Net sale price: no clear difference

2026-11-07T07:39:20.341472 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 12 sales No view 35 sales $0K $250K $500K $750K $1.00M $936K $793K Net sale price, average

The average is $936K for homes with a view and $793K 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

2026-11-07T07:39:20.360178 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 12 sales No view 35 sales $0 $100 $200 $300 $264 $241 Net price per SF, average

The average is $264 per SF for homes with a view and $241 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

2026-11-07T07:39:20.380231 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 12 sales No view 35 sales 0 1,000 2,000 3,000 4,000 3,495 3,284 Living area (SF), average

The average is 3,495 SF for homes with a view and 3,284 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-11-07T07:39:20.435357 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 12 sales No view 35 sales 2008 2010 2012 2014 2012 2009 Year built: median (dot) and middle half (bar)

The median is 2012 for homes with a view and 2009 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-11-07T07:39:20.453548 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 12 sales No view 35 sales 0 10 20 30 6 32 Days on market, median

The median is 6 days for homes with a view and 32 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

2026-11-07T07:39:20.472076 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 12 sales No view 35 sales 0.0% 2.0% 4.0% 6.0% 4.4% 5.4% Discount from original list, average

The average is 4.4% for homes with a view and 5.4% 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

2026-11-07T07:39:20.492072 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 17 58 43 63 View No view

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

  • 17% of homes with a view had a price cut before sale, against 43% of homes without a view. Defined in 8.1.7.
  • 58% of homes with a view had the seller pay closing costs or repairs, against 63% 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

View12 salesNo view35 salesAll47 salesReal difference?
Net sale price average$936,046$793,397$829,818unclear
Net price per SF average$264$241$247unclear
Living area average3,4953,2843,338unclear
Year built median201220092010unclear

6.11 The numbers: selling

View12 salesNo view35 salesAll47 salesReal difference?
Days on market median63221unclear
Discount from original list average4.4%5.4%5.1%unclear
Price cut before sale17%43%36%unclear
Seller paid closing costs or repairs58%63%62%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 7, 2025 – November 6, 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 Ranch At Brushy Creek Sec 01.

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
48 resale sales. Average $825,510; median $799,250; standard deviation $246,977; middle half (25th–75th percentile) $628,575–$919,750; lowest $450,000, highest $1,425,000. 30 sales had a seller payment; their median payment was $4,670.

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
48 resale sales. Average $247; median $240; standard deviation $33; middle half (25th–75th percentile) $224–$268; lowest $181, highest $326.

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
48 resale sales. Average 3,323; median 3,275; standard deviation 759; middle half (25th–75th percentile) 2,775–3,830; lowest 2,040, highest 4,760.

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
48 resale sales. Average 2010; median 2010; standard deviation 3; middle half (25th–75th percentile) 2007–2013; lowest 2005, highest 2016.

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
48 resale sales. Average 59; median 21; standard deviation 81; middle half (25th–75th percentile) 7–82; lowest 1, highest 310. 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
48 resale sales. Average 5.0%; median 3.6%; standard deviation 5.4%; middle half (25th–75th percentile) 1.1%–8.6%; lowest −4.2%, highest 21.0%. 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
17 of 48 resale sales (35.4%).

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
30 of 48 resale sales (62.5%).

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
12 sales with a view, 35 without, 1 unclassified. Most common View entries: None 25, Neighborhood 16, Park/Greenbelt 10, Trees/Woods 5, See Remarks 2, Pool 2, Pond 2, Panoramic 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 2026-11-07 13:30 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Cedar Park, SubdivisionName contains any of “ranch at brushy creek”, “ranch brushy creek”, “walsh trls”, “ranch at brushy crk”, “ranch/brushy crk”, “ranch brushy crk” (case-insensitive). A record is kept when its subdivision name belongs to the Ranch At Brushy Creek Sec 01 family, the same rule comparable sales use (it includes Ranch/Brushy Crk Sec 10B, Walsh Trls Sec 02, proven adjacent and priced alike).
The data
Pulled November 7, 2026: 48 closed Ranch At Brushy Creek Sec 01 records over the prior year, in ZIP 78613. 22 subdivision spellings kept, the most common: Ranch at Brushy Creek (8); Ranch At Brushy Creek Sec 01 (6); Ranch At Brushy Creek (5); Ranch At Brushy Creek Sec 2B Amd (4); Ranch At Brushy Creek Sec 03 (4); RANCH AT BRUSHY CREEK (3); Ranch At Brushy Creek Sec 06 (2); Ranch/Brushy Crk Sec 9C (2); Ranch/Brushy Crk Sec 8C & 8D (1); Ranch At Brushy Creek Sec 05 (1); Ranch/Brushy Crk Sec 8A (1); Walsh Trls Sec 03 (1); and 10 more (10 records). Names found by the search but not part of Ranch At Brushy Creek Sec 01, left out: Trailside At The Ranch At Brushy Creek (2); RANCH AT BRUSHY CREEK NORTH PH 2 (1); Ranch At Brushy Crk North Ph 2 (1); Ranch Brushy Crk South (1); Ranch At Brushy Creek South (1); Ranch/Brushy Crk North Ph 2 (1); Ranch At Brushy Creek Estates (1).

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 24 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from November 7, 2025 to November 6, 2026 inclusive.
The data
48 single-family sales in the window: 48 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
48 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 $630K”.
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 $630K: $450,000–$624,300 (12 sales); $630K–$795K: $630,000–$795,000 (12 sales); $804K–$894K: $803,500–$894,000 (12 sales); Over $894K: $996,999–$1,425,000 (12 sales)
Quartiles by living area: Under 2,775 SF: 2,040–2,774 SF (12 sales); 2,775–3,273 SF: 2,775–3,273 SF (12 sales); 3,277–3,828 SF: 3,277–3,828 SF (12 sales); Over 3,828 SF: 3,837–4,760 SF (12 sales)
Quartiles by year built: Before 2007: 2005–2006 (9 sales); 2007–2010: 2007–2010 (16 sales); 2011–2013: 2011–2013 (11 sales); After 2013: 2014–2016 (12 sales)
View and no view: View: MLS lists a view (12 sales); No view: None or Neighborhood (35 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 $825,510, median $799,250. Days on market: average 59, median 21: 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
5 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 = 16.2330.0010p < 0.0063Yesε² = 0.345large
Living areaKruskal–WallisH = 34.473< 0.0001p < 0.0063Yesε² = 0.733large
Year builtKruskal–WallisH = 11.6730.0086p < 0.0063Unclearε² = 0.248large
Days on marketKruskal–WallisH = 3.5530.3137p < 0.0063Unclearε² = 0.076medium
Discount from original listKruskal–WallisH = 5.0830.1663p < 0.0063Unclearε² = 0.108medium
Price cut before saleChi-squareχ² = 5.3730.1464p < 0.0063UnclearCramér’s V = 0.335medium
Seller paid closing costs or repairsChi-squareχ² = 4.6230.2016p < 0.0063UnclearCramér’s V = 0.310medium
Has a viewChi-squareχ² = 3.5630.3136p < 0.0063UnclearCramér’s V = 0.272small

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 35.553< 0.0001p < 0.0063Yesε² = 0.756large
Net price per SFKruskal–WallisH = 3.4830.3231p < 0.0063Unclearε² = 0.074medium
Year builtKruskal–WallisH = 4.4530.2172p < 0.0063Unclearε² = 0.095medium
Days on marketKruskal–WallisH = 2.5030.4745p < 0.0063Unclearε² = 0.053small
Discount from original listKruskal–WallisH = 2.2930.5144p < 0.0063Unclearε² = 0.049small
Price cut before saleChi-squareχ² = 5.3730.1464p < 0.0063UnclearCramér’s V = 0.335medium
Seller paid closing costs or repairsChi-squareχ² = 1.7830.6198p < 0.0063UnclearCramér’s V = 0.192small
Has a viewChi-squareχ² = 4.4430.2173p < 0.0063UnclearCramér’s V = 0.304medium

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 14.2430.0026p < 0.0063Yesε² = 0.303large
Net price per SFKruskal–WallisH = 16.1930.0010p < 0.0063Yesε² = 0.344large
Living areaKruskal–WallisH = 7.0830.0694p < 0.0063Unclearε² = 0.151large
Days on marketKruskal–WallisH = 1.4930.6851p < 0.0063Unclearε² = 0.032small
Discount from original listKruskal–WallisH = 4.1130.2495p < 0.0063Unclearε² = 0.088medium
Price cut before saleChi-squareχ² = 3.6530.3016p < 0.0063UnclearCramér’s V = 0.276small
Seller paid closing costs or repairsChi-squareχ² = 4.5130.2110p < 0.0063UnclearCramér’s V = 0.307medium
Has a viewChi-squareχ² = 2.1430.5436p < 0.0063UnclearCramér’s V = 0.211small

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 276.00—0.1100p < 0.0063Unclearrank-biserial r = 0.314medium
Net price per SFMann–Whitney UU = 283.00—0.0769p < 0.0063Unclearrank-biserial r = 0.348medium
Living areaMann–Whitney UU = 239.00—0.4868p < 0.0063Unclearrank-biserial r = 0.138small
Year builtMann–Whitney UU = 236.00—0.5312p < 0.0063Unclearrank-biserial r = 0.124small
Days on marketMann–Whitney UU = 100.00—0.0075p < 0.0063Unclearrank-biserial r = 0.524large
Discount from original listMann–Whitney UU = 194.00—0.7053p < 0.0063Unclearrank-biserial r = 0.076negligible
Price cut before saleChi-squareχ² = 2.6510.1032p < 0.0063UnclearCramér’s V = 0.238small
Seller paid closing costs or repairsChi-squareχ² = 0.0810.7809p < 0.0063UnclearCramér’s V = 0.041negligible

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 48 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 7, 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.