ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Preserve At Stone Oak Ph 3 Sec 1

Round Rock, TX 78681
Resale homes · closed Oct 26 – Oct 25, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
October 26, 2026 · 5:44 AM CDT
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
29
single-family resale homes
Median net sale price
$385,000
average $390,871
Median net price per SF
$203
average $207
Median days on market
31 days
average 45 days
1. SummaryResale homes · 29 sales · October 26, 2025 – October 25, 2026

This study looks at the 29 resale homes sold in Preserve At Stone Oak Ph 3 Sec 1 in the 365 days to October 25, 2026. A full year is used because only 17 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 sold29 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 $365K · 7 sales$365K–$379K · 7 sales$385K–$419K · 8 salesOver $419K · 7 sales
3. Quartiles by net sale priceResale homes · 29 sales · October 26, 2025 – October 25, 2026

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

2026-10-26T05:44:41.682698 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 7 7 8 7 29 sales Sales per group Under $365K: 7 sales (24%) $365K–$379K: 7 sales (24%) $385K–$419K: 8 sales (28%) Over $419K: 7 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 $365K$365K–$379K$385K–$419KOver $419KReal difference?
Net price per SF$201 per SF$193 per SF$228 per SF$204 per SFunclear
Living area1,708 SF1,944 SF1,768 SF2,248 SFunclear
Year built2001200220022000unclear
Days on market72 days26 days22 days28 daysunclear
Discount from original list7.7%5.6%2.8%3.9%unclear
Price cut before sale86%43%38%29%unclear
Seller paid closing costs or repairs86%43%50%43%unclear
Has a view29%29%50%71%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

2026-10-26T05:44:41.718470 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $365K 7 sales $365K– $379K 7 sales $385K– $419K 8 sales Over $419K 7 sales $0 $100 $200 $201 $193 $228 $204 Net price per SF, average

The average is $204 per SF for homes over $419K and $201 per SF for homes under $365K. It does not move in a straight line; homes $385K–$419K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Living area: no clear difference

2026-10-26T05:44:41.749422 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $365K 7 sales $365K– $379K 7 sales $385K– $419K 8 sales Over $419K 7 sales 0 1,000 2,000 1,708 1,944 1,768 2,248 Living area (SF), average

The average is 2,248 SF for homes over $419K and 1,708 SF for homes under $365K. It does not move in a straight line; homes over $419K are highest. Defined in 8.1.3.

– No clear difference · could be chance

3.5 Year built: no clear difference

2026-10-26T05:44:41.782930 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $365K 7 sales $365K– $379K 7 sales $385K– $419K 8 sales Over $419K 7 sales 2000 2001 2002 2003 2004 2001 2002 2002 2000 Year built: median (dot) and middle half (bar)

The median is 2000 for homes over $419K and 2001 for homes under $365K. It does not move in a straight line; homes $365K–$379K are highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-10-26T05:44:41.815472 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $365K 7 sales $365K– $379K 7 sales $385K– $419K 8 sales Over $419K 7 sales 0 25 50 75 72 26 22 28 Days on market, median

The median is 28 days for homes over $419K and 72 days for homes under $365K. It does not move in a straight line; homes under $365K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-26T05:44:41.844327 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $365K 7 sales $365K– $379K 7 sales $385K– $419K 8 sales Over $419K 7 sales 0.0% 2.5% 5.0% 7.5% 7.7% 5.6% 2.8% 3.9% Discount from original list, average

The average is 3.9% for homes over $419K and 7.7% for homes under $365K. It does not move in a straight line; homes under $365K 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

2026-10-26T05:44:41.876408 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% 86 86 29 43 43 29 38 50 50 29 43 71 Under $365K $365K–$379K $385K–$419K Over $419K

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

  • 29% of homes over $419K had a price cut before sale, against 86% of homes under $365K. Defined in 8.1.7.
  • 43% of homes over $419K had the seller pay closing costs or repairs, against 86% of homes under $365K. Defined in 8.1.8.
  • 71% of homes over $419K have a view, against 29% of homes under $365K. 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 $365K7 sales$365K–$379K7 sales$385K–$419K8 salesOver $419K7 salesAll29 salesReal difference?
Net sale price average$340,986$372,633$396,048$453,080$390,871by design
Net price per SF average$201$193$228$204$207unclear
Living area average1,7081,9441,7682,2481,912unclear
Year built median20012002200220002002unclear

3.10 The numbers: selling

Under $365K7 sales$365K–$379K7 sales$385K–$419K8 salesOver $419K7 salesAll29 salesReal difference?
Days on market median7226222831unclear
Discount from original list average7.7%5.6%2.8%3.9%4.9%unclear
Price cut before sale86%43%38%29%48%unclear
Seller paid closing costs or repairs86%43%50%43%55%unclear
Has a view29%29%50%71%45%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 · 29 sales · October 26, 2025 – October 25, 2026

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

2026-10-26T05:44:41.898027 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 8 8 7 29 sales Sales per group Under 1,682 SF: 6 sales (21%) 1,682–1,856 SF: 8 sales (28%) 1,863–1,990 SF: 8 sales (28%) Over 1,990 SF: 7 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 1,682 SF1,682–1,856 SF1,863–1,990 SFOver 1,990 SF
Larger homes Over 1,990 SF
  • Sell for less per square foot.
Smaller homes Under 1,682 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 1,682 SF1,682–1,856 SF1,863–1,990 SFOver 1,990 SFReal difference?
Net sale price$360K$382K$383K$436Kunclear
Net price per SF$233 per SFHighest$219 per SF$197 per SF$183 per SFLowest✓ large
Year built2002200120022002unclear
Days on market22 days28 days34 days22 daysunclear
Discount from original list5.0%4.0%6.4%4.2%unclear
Price cut before sale67%50%50%29%unclear
Seller paid closing costs or repairs67%50%75%29%unclear
Has a view50%50%38%43%unclear

4.3 Net sale price: no clear difference

2026-10-26T05:44:41.920849 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,682 SF 6 sales 1,682– 1,856 SF 8 sales 1,863– 1,990 SF 8 sales Over 1,990 SF 7 sales $0K $200K $400K $360K $382K $383K $436K Net sale price, average

The average is $436K for homes over 1,990 SF and $360K for homes under 1,682 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 1,990 SF sell for about $50 per SF (21%) less than homes under 1,682 SF

2026-10-26T05:44:41.946193 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,682 SF 6 sales 1,682– 1,856 SF 8 sales 1,863– 1,990 SF 8 sales Over 1,990 SF 7 sales $0 $100 $200 $233 $219 $197 $183 Net price per SF, average

The average is $183 per SF for homes over 1,990 SF and $233 per SF for homes under 1,682 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

2026-10-26T05:44:41.971621 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,682 SF 6 sales 1,682– 1,856 SF 8 sales 1,863– 1,990 SF 8 sales Over 1,990 SF 7 sales 2000 2001 2002 2003 2004 2002 2001 2002 2002 Year built: median (dot) and middle half (bar)

The median is 2002 for homes over 1,990 SF and 2002 for homes under 1,682 SF. It does not move in a straight line; homes under 1,682 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-10-26T05:44:41.996110 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,682 SF 6 sales 1,682– 1,856 SF 8 sales 1,863– 1,990 SF 8 sales Over 1,990 SF 7 sales 0 20 40 22 28 34 22 Days on market, median

The median is 22 days for homes over 1,990 SF and 22 days for homes under 1,682 SF. It does not move in a straight line; homes 1,863–1,990 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-26T05:44:42.019241 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,682 SF 6 sales 1,682– 1,856 SF 8 sales 1,863– 1,990 SF 8 sales Over 1,990 SF 7 sales 0.0% 2.0% 4.0% 6.0% 5.0% 4.0% 6.4% 4.2% Discount from original list, average

The average is 4.2% for homes over 1,990 SF and 5.0% for homes under 1,682 SF. It does not move in a straight line; homes 1,863–1,990 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

2026-10-26T05:44:42.046781 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% 67 67 50 50 50 50 50 75 38 29 29 43 Under 1,682 SF 1,682–1,856 SF 1,863–1,990 SF Over 1,990 SF

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

  • 29% of homes over 1,990 SF had a price cut before sale, against 67% of homes under 1,682 SF. Defined in 8.1.7.
  • 29% of homes over 1,990 SF had the seller pay closing costs or repairs, against 67% of homes under 1,682 SF. Defined in 8.1.8.
  • 43% of homes over 1,990 SF have a view, against 50% of homes under 1,682 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 1,682 SF6 sales1,682–1,856 SF8 sales1,863–1,990 SF8 salesOver 1,990 SF7 salesAll29 salesReal difference?
Net sale price average$360,063$381,654$383,300$436,466$390,871unclear
Net price per SF average$233$219$197$183$207✓ large
Living area average1,5501,7391,9442,3831,912by design
Year built median20022001200220022002unclear

4.10 The numbers: selling

Under 1,682 SF6 sales1,682–1,856 SF8 sales1,863–1,990 SF8 salesOver 1,990 SF7 salesAll29 salesReal difference?
Days on market median2228342231unclear
Discount from original list average5.0%4.0%6.4%4.2%4.9%unclear
Price cut before sale67%50%50%29%48%unclear
Seller paid closing costs or repairs67%50%75%29%55%unclear
Has a view50%50%38%43%45%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 · 29 sales · October 26, 2025 – October 25, 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.

2026-10-26T05:44:42.067906 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 8 4 10 7 29 sales Sales per group Before 2001: 8 sales (28%) 2001: 4 sales (14%) 2002–2003: 10 sales (34%) After 2003: 7 sales (24%)
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

2026-10-26T05:44:42.089342 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2001 8 sales 2001 4 sales 2002– 2003 10 sales After 2003 7 sales $0K $200K $400K $403K $387K $390K $380K Net sale price, average

The average is $380K for homes built after 2003 and $403K for homes built before 2001. It does not move in a straight line; homes built before 2001 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T05:44:42.112674 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2001 8 sales 2001 4 sales 2002– 2003 10 sales After 2003 7 sales $0 $100 $200 $207 $209 $212 $201 Net price per SF, average

The average is $201 per SF for homes built after 2003 and $207 per SF for homes built before 2001. It does not move in a straight line; homes built 2002–2003 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T05:44:42.134807 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2001 8 sales 2001 4 sales 2002– 2003 10 sales After 2003 7 sales 0 1,000 2,000 1,972 1,859 1,884 1,914 Living area (SF), average

The average is 1,914 SF for homes built after 2003 and 1,972 SF for homes built before 2001. It does not move in a straight line; homes built before 2001 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T05:44:42.156560 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2001 8 sales 2001 4 sales 2002– 2003 10 sales After 2003 7 sales 0 10 20 30 30 32 32 22 Days on market, median

The median is 22 days for homes built after 2003 and 30 days for homes built before 2001. It does not move in a straight line; homes built 2001 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T05:44:42.180323 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2001 8 sales 2001 4 sales 2002– 2003 10 sales After 2003 7 sales 0.0% 2.0% 4.0% 6.0% 4.8% 5.2% 5.1% 4.6% Discount from original list, average

The average is 4.6% for homes built after 2003 and 4.8% for homes built before 2001. It does not move in a straight line; homes built 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

2026-10-26T05:44:42.206711 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 50 50 50 50 50 60 50 43 29 29 Before 2001 2001 2002–2003 After 2003

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

  • 43% of homes built after 2003 had a price cut before sale, against 50% of homes built before 2001. Defined in 8.1.7.
  • 29% of homes built after 2003 had the seller pay closing costs or repairs, against 75% of homes built before 2001. Defined in 8.1.8.
  • 29% of homes built after 2003 have a view, against 50% 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 20018 sales20014 sales2002–200310 salesAfter 20037 salesAll29 sales
Net sale price average$402,649$386,838$390,343$380,471$390,871
Net price per SF average$207$209$212$201$207
Living area average1,9721,8591,8841,9141,912
Year built median20002001200220052002

5.10 The numbers: selling

Before 20018 sales20014 sales2002–200310 salesAfter 20037 salesAll29 sales
Days on market median3032322231
Discount from original list average4.8%5.2%5.1%4.6%4.9%
Price cut before sale50%50%50%43%48%
Seller paid closing costs or repairs75%50%60%29%55%
Has a view50%50%50%29%45%

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 · 29 sales · October 26, 2025 – October 25, 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.

2026-10-26T05:44:42.225644 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 13 16 29 sales Sales per group View: 13 sales (45%) No view: 16 sales (55%)
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$402K$382Kunclear
Net price per SF$215 per SF$201 per SFunclear
Living area1,906 SF1,917 SFunclear
Year built20022003unclear
Days on market31 days27 daysunclear
Discount from original list4.3%5.4%unclear
Price cut before sale54%44%unclear
Seller paid closing costs or repairs46%62%unclear

6.3 Net sale price: no clear difference

2026-10-26T05:44:42.242948 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 16 sales $0K $100K $200K $300K $400K $402K $382K Net sale price, average

The average is $402K for homes with a view and $382K 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

2026-10-26T05:44:42.261913 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 16 sales $0 $100 $200 $215 $201 Net price per SF, average

The average is $215 per SF for homes with a view and $201 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

2026-10-26T05:44:42.335709 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 16 sales 0 500 1,000 1,500 2,000 1,906 1,917 Living area (SF), average

The average is 1,906 SF for homes with a view and 1,917 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-26T05:44:42.358765 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 16 sales 2000 2001 2002 2003 2004 2002 2003 Year built: median (dot) and middle half (bar)

The median is 2002 for homes with a view and 2003 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-26T05:44:42.377758 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 16 sales 0 10 20 30 31 27 Days on market, median

The median is 31 days for homes with a view and 27 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

2026-10-26T05:44:42.396703 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 16 sales 0.0% 2.0% 4.0% 6.0% 4.3% 5.4% Discount from original list, average

The average is 4.3% 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

2026-10-26T05:44:42.415967 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 54 46 44 62 View No view

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

  • 54% of homes with a view had a price cut before sale, against 44% of homes without a view. Defined in 8.1.7.
  • 46% of homes with a view had the seller pay closing costs or repairs, against 62% 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

View13 salesNo view16 salesAll29 salesReal difference?
Net sale price average$401,927$381,889$390,871unclear
Net price per SF average$215$201$207unclear
Living area average1,9061,9171,912unclear
Year built median200220032002unclear

6.11 The numbers: selling

View13 salesNo view16 salesAll29 salesReal difference?
Days on market median312731unclear
Discount from original list average4.3%5.4%4.9%unclear
Price cut before sale54%44%48%unclear
Seller paid closing costs or repairs46%62%55%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 · October 26, 2025 – October 25, 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 Preserve At Stone Oak Ph 3 Sec 1.

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
29 resale sales. Average $390,871; median $385,000; standard deviation $44,636; middle half (25th–75th percentile) $365,250–$419,000; lowest $311,000, highest $489,000. 16 sales had a seller payment; their median payment was $9,000.

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
29 resale sales. Average $207; median $203; standard deviation $26; middle half (25th–75th percentile) $187–$228; lowest $166, highest $267.

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
29 resale sales. Average 1,912; median 1,863; standard deviation 330; middle half (25th–75th percentile) 1,682–1,990; lowest 1,341, highest 2,721.

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
29 resale sales. Average 2002; median 2002; standard deviation 2; middle half (25th–75th percentile) 2000–2003; lowest 1997, highest 2006.

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
29 resale sales. Average 45; median 31; standard deviation 39; middle half (25th–75th percentile) 18–72; lowest 6, highest 154. 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
29 resale sales. Average 4.9%; median 4.1%; standard deviation 4.2%; middle half (25th–75th percentile) 1.9%–7.5%; lowest −1.2%, highest 13.5%. 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
14 of 29 resale sales (48.3%).

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 29 resale sales (55.2%).

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
13 sales with a view, 16 without, 0 unclassified. Most common View entries: None 16, Park/Greenbelt 8, Trees/Woods 7, Neighborhood 5, Water 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
Bridge Interactive RESO Web API (OData), ABOR dataset, every field returned. Filter: StandardStatus = Closed, PropertyType = Residential, City = Round Rock, SubdivisionName contains any of “preserve at stone oak”, “stone oak at round rock” (case-insensitive). A record is kept when its subdivision name belongs to the Preserve At Stone Oak Ph 3 Sec 1 family, the same rule comparable sales use (it includes Stone Oak At Round Rock Sec 3, proven adjacent and priced alike).
The data
Pulled October 26, 2026: 29 closed Preserve At Stone Oak Ph 3 Sec 1 records over the prior year, in ZIP 78681. 17 subdivision spellings kept, the most common: Preserve At Stone Oak Ph 3 Sec 1 (6); Preserve At Stone Oak Ph 2 Sec 2 (4); Preserve At Stone Oak Ph 3 Sec 4 (3); Preserve At Stone Oak Ph 4 Sec 2 (2); Preserve At Stone Oak Ph 3 Sec 3 (2); Preserve At Stone Oak Ph 4 Sec 1 (1); Preserve At Stone Oak Ph 3 Sec 2 (1); Preserve At Stone Oak Ph 1 Sec 3 (1); Stone Oak At Round Rock Sec 3 (1); Stone Oak At Round Rock Sec 2 (1); Preserve At Stone Oak Ph 2 Sec 3 (1); Preserve At Stone Oak Ph 03 Sec 03 (1); and 5 more (5 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 17 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
29 single-family sales in the window: 29 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
29 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 $365K”.
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 $365K: $311,000–$364,600 (7 sales); $365K–$379K: $365,250–$379,000 (7 sales); $385K–$419K: $385,000–$419,000 (8 sales); Over $419K: $420,000–$489,000 (7 sales)
Quartiles by living area: Under 1,682 SF: 1,341–1,671 SF (6 sales); 1,682–1,856 SF: 1,682–1,856 SF (8 sales); 1,863–1,990 SF: 1,863–1,990 SF (8 sales); Over 1,990 SF: 2,052–2,721 SF (7 sales)
Quartiles by year built: Before 2001: 1997–2000 (8 sales); 2001: 2001–2001 (4 sales); 2002–2003: 2002–2003 (10 sales); After 2003: 2004–2006 (7 sales)
View and no view: View: MLS lists a view (13 sales); No view: None or Neighborhood (16 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 $390,871, median $385,000. Days on market: average 45, median 31: 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; 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 = 5.7930.1224p < 0.0063Unclearε² = 0.207large
Living areaKruskal–WallisH = 11.0030.0117p < 0.0063Unclearε² = 0.393large
Year builtKruskal–WallisH = 1.5830.6630p < 0.0063Unclearε² = 0.057small
Days on marketKruskal–WallisH = 4.3630.2255p < 0.0063Unclearε² = 0.156large
Discount from original listKruskal–WallisH = 4.7630.1905p < 0.0063Unclearε² = 0.170large
Price cut before saleChi-squareχ² = 5.4730.1403p < 0.0063UnclearCramér’s V = 0.434medium
Seller paid closing costs or repairsChi-squareχ² = 3.5930.3099p < 0.0063UnclearCramér’s V = 0.352medium
Has a viewChi-squareχ² = 3.5930.3099p < 0.0063UnclearCramér’s V = 0.352medium

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 7.6230.0545p < 0.0063Unclearε² = 0.272large
Net price per SFKruskal–WallisH = 16.1930.0010p < 0.0063Yesε² = 0.578large
Year builtKruskal–WallisH = 1.0530.7882p < 0.0063Unclearε² = 0.038small
Days on marketKruskal–WallisH = 1.9030.5937p < 0.0063Unclearε² = 0.068medium
Discount from original listKruskal–WallisH = 1.7530.6267p < 0.0063Unclearε² = 0.062medium
Price cut before saleChi-squareχ² = 1.9230.5891p < 0.0063UnclearCramér’s V = 0.257small
Seller paid closing costs or repairsChi-squareχ² = 3.6830.2980p < 0.0063UnclearCramér’s V = 0.356medium
Has a viewChi-squareχ² = 0.3430.9531p < 0.0063UnclearCramér’s V = 0.108small

8.3.3 Quartiles by year built

Too few sales in a group to test.

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 142.50—0.0956p < 0.0063Unclearrank-biserial r = 0.370medium
Net price per SFMann–Whitney UU = 137.00—0.1541p < 0.0063Unclearrank-biserial r = 0.317medium
Living areaMann–Whitney UU = 95.00—0.7090p < 0.0063Unclearrank-biserial r = 0.087negligible
Year builtMann–Whitney UU = 75.50—0.2137p < 0.0063Unclearrank-biserial r = 0.274small
Days on marketMann–Whitney UU = 118.00—0.5537p < 0.0063Unclearrank-biserial r = 0.135small
Discount from original listMann–Whitney UU = 96.00—0.7416p < 0.0063Unclearrank-biserial r = 0.077negligible
Price cut before saleChi-squareχ² = 0.2910.5884p < 0.0063UnclearCramér’s V = 0.100small
Seller paid closing costs or repairsChi-squareχ² = 0.7710.3787p < 0.0063UnclearCramér’s V = 0.163small

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 29 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 October 26, 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.