ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Forest Creek

Round Rock, TX 78664
Resale homes · closed Oct 27 – Oct 26, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
October 27, 2026 · 7:07 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
57
single-family resale homes
Median net sale price
$519,000
average $564,634
Median net price per SF
$186
average $187
Median days on market
58 days
average 78 days
1. SummaryResale homes · 57 sales · October 27, 2025 – October 26, 2026

This study looks at the 57 resale homes sold in Forest Creek in the 365 days to October 26, 2026. A full year is used because only 36 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 sold57 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 $428K · 14 sales$428K–$515K · 14 sales$519K–$660K · 15 salesOver $660K · 14 sales
3. Quartiles by net sale priceResale homes · 57 sales · October 27, 2025 – October 26, 2026

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

2026-10-27T07:07:20.761052 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 14 14 15 14 57 sales Sales per group Under $428K: 14 sales (25%) $428K–$515K: 14 sales (25%) $519K–$660K: 15 sales (26%) Over $660K: 14 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 $428K$428K–$515K$519K–$660KOver $660K
Higher-priced homes Over $660K
  • Are much larger.
  • Sell for more per square foot.
Lower-priced homes Under $428K
  • 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 $428K$428K–$515K$519K–$660KOver $660KReal difference?
Net price per SF$182 per SF$165 per SFLowest$196 per SF$204 per SFHighest✓ large
Living area2,193 SFSmallest2,887 SF3,047 SF3,976 SFLargest✓ large
Year built2006200620052000unclear
Days on market77 days76 days38 days47 daysunclear
Discount from original list9.9%9.0%6.2%5.1%unclear
Price cut before sale50%71%47%36%unclear
Seller paid closing costs or repairs64%79%73%50%unclear
Has a view7%7%33%43%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 $660K sell for about $22 per SF (12%) more than homes under $428K

2026-10-27T07:07:20.790174 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $428K 14 sales $428K– $515K 14 sales $519K– $660K 15 sales Over $660K 14 sales $0 $100 $200 $182 $165 $196 $204 Net price per SF, average

The average is $204 per SF for homes over $660K and $182 per SF for homes under $428K. It does not move in a straight line; homes over $660K are highest. Defined in 8.1.2.

✓ Real difference · large

3.4 Homes over $660K are about 1,780 SF (81%) larger than homes under $428K

2026-10-27T07:07:20.812535 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $428K 14 sales $428K– $515K 14 sales $519K– $660K 15 sales Over $660K 14 sales 0 2,000 4,000 2,193 2,887 3,047 3,976 Living area (SF), average

The average is 3,976 SF for homes over $660K and 2,193 SF for homes under $428K. 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

2026-10-27T07:07:20.838138 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $428K 14 sales $428K– $515K 14 sales $519K– $660K 15 sales Over $660K 14 sales 1996 2000 2004 2008 2012 2006 2006 2005 2000 Year built: median (dot) and middle half (bar)

The median is 2000 for homes over $660K and 2006 for homes under $428K. It does not move in a straight line; homes $428K–$515K are highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-10-27T07:07:20.862297 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $428K 14 sales $428K– $515K 14 sales $519K– $660K 15 sales Over $660K 14 sales 0 25 50 75 77 76 38 47 Days on market, median

The median is 47 days for homes over $660K and 77 days for homes under $428K. It does not move in a straight line; homes under $428K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-27T07:07:20.886395 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $428K 14 sales $428K– $515K 14 sales $519K– $660K 15 sales Over $660K 14 sales 0.0% 5.0% 10.0% 9.9% 9.0% 6.2% 5.1% Discount from original list, average

The average is 5.1% for homes over $660K and 9.9% for homes under $428K. It falls step by step from the lowest range to the 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

2026-10-27T07:07:20.918964 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 64 7 71 79 7 47 73 33 36 50 43 Under $428K $428K–$515K $519K–$660K Over $660K

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

  • 36% of homes over $660K had a price cut before sale, against 50% of homes under $428K. Defined in 8.1.7.
  • 50% of homes over $660K had the seller pay closing costs or repairs, against 64% of homes under $428K. Defined in 8.1.8.
  • 43% of homes over $660K have a view, against 7% of homes under $428K. 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 $428K14 sales$428K–$515K14 sales$519K–$660K15 salesOver $660K14 salesAll57 salesReal difference?
Net sale price average$392,312$469,009$582,966$812,938$564,634by design
Net price per SF average$182$165$196$204$187✓ large
Living area average2,1932,8873,0473,9763,026✓ large
Year built median20062006200520002003unclear

3.10 The numbers: selling

Under $428K14 sales$428K–$515K14 sales$519K–$660K15 salesOver $660K14 salesAll57 salesReal difference?
Days on market median7776384758unclear
Discount from original list average9.9%9.0%6.2%5.1%7.5%unclear
Price cut before sale50%71%47%36%51%unclear
Seller paid closing costs or repairs64%79%73%50%67%unclear
Has a view7%7%33%43%23%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 · 57 sales · October 27, 2025 – October 26, 2026

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

2026-10-27T07:07:20.940739 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 14 14 15 14 57 sales Sales per group Under 2,519 SF: 14 sales (25%) 2,519–2,909 SF: 14 sales (25%) 2,947–3,553 SF: 15 sales (26%) Over 3,553 SF: 14 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 2,519 SF2,519–2,909 SF2,947–3,553 SFOver 3,553 SF
Larger homes Over 3,553 SF
  • Sell for much more.
Smaller homes Under 2,519 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 2,519 SF2,519–2,909 SF2,947–3,553 SFOver 3,553 SFReal difference?
Net sale price$407KLowest$499K$572K$780KHighest✓ large
Net price per SF$198 per SF$185 per SF$176 per SF$190 per SFunclear
Year built2008200420072000unclear
Days on market74 days80 days30 days57 daysunclear
Discount from original list8.2%9.4%5.9%6.7%unclear
Price cut before sale50%71%33%50%unclear
Seller paid closing costs or repairs71%79%67%50%unclear
Has a view14%21%7%50%unclear

4.3 Homes over 3,553 SF sell for about $373K (92%) more than homes under 2,519 SF

2026-10-27T07:07:20.962421 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,519 SF 14 sales 2,519– 2,909 SF 14 sales 2,947– 3,553 SF 15 sales Over 3,553 SF 14 sales $0K $250K $500K $750K $407K $499K $572K $780K Net sale price, average

The average is $780K for homes over 3,553 SF and $407K for homes under 2,519 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

2026-10-27T07:07:20.985534 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,519 SF 14 sales 2,519– 2,909 SF 14 sales 2,947– 3,553 SF 15 sales Over 3,553 SF 14 sales $0 $100 $200 $198 $185 $176 $190 Net price per SF, average

The average is $190 per SF for homes over 3,553 SF and $198 per SF for homes under 2,519 SF. It does not move in a straight line; homes under 2,519 SF are highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-10-27T07:07:21.009822 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,519 SF 14 sales 2,519– 2,909 SF 14 sales 2,947– 3,553 SF 15 sales Over 3,553 SF 14 sales 2000 2004 2008 2012 2008 2004 2007 2000 Year built: median (dot) and middle half (bar)

The median is 2000 for homes over 3,553 SF and 2008 for homes under 2,519 SF. It does not move in a straight line; homes under 2,519 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-10-27T07:07:21.033203 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,519 SF 14 sales 2,519– 2,909 SF 14 sales 2,947– 3,553 SF 15 sales Over 3,553 SF 14 sales 0 25 50 75 74 80 30 57 Days on market, median

The median is 57 days for homes over 3,553 SF and 74 days for homes under 2,519 SF. It does not move in a straight line; homes 2,519–2,909 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-27T07:07:21.055407 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,519 SF 14 sales 2,519– 2,909 SF 14 sales 2,947– 3,553 SF 15 sales Over 3,553 SF 14 sales 0.0% 5.0% 10.0% 8.2% 9.4% 5.9% 6.7% Discount from original list, average

The average is 6.7% for homes over 3,553 SF and 8.2% for homes under 2,519 SF. It does not move in a straight line; homes 2,519–2,909 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

2026-10-27T07:07:21.081656 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 71 14 71 79 21 33 67 7 50 50 50 Under 2,519 SF 2,519–2,909 SF 2,947–3,553 SF Over 3,553 SF

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

  • 50% of homes over 3,553 SF had a price cut before sale, against 50% of homes under 2,519 SF. Defined in 8.1.7.
  • 50% of homes over 3,553 SF had the seller pay closing costs or repairs, against 71% of homes under 2,519 SF. Defined in 8.1.8.
  • 50% of homes over 3,553 SF have a view, against 14% of homes under 2,519 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 2,519 SF14 sales2,519–2,909 SF14 sales2,947–3,553 SF15 salesOver 3,553 SF14 salesAll57 salesReal difference?
Net sale price average$406,996$499,481$571,724$779,827$564,634✓ large
Net price per SF average$198$185$176$190$187unclear
Living area average2,0662,7163,2374,0703,026by design
Year built median20082004200720002003unclear

4.10 The numbers: selling

Under 2,519 SF14 sales2,519–2,909 SF14 sales2,947–3,553 SF15 salesOver 3,553 SF14 salesAll57 salesReal difference?
Days on market median7480305758unclear
Discount from original list average8.2%9.4%5.9%6.7%7.5%unclear
Price cut before sale50%71%33%50%51%unclear
Seller paid closing costs or repairs71%79%67%50%67%unclear
Has a view14%21%7%50%23%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 · 57 sales · October 27, 2025 – October 26, 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.

2026-10-27T07:07:21.102577 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 12 15 16 14 57 sales Sales per group Before 2000: 12 sales (21%) 2000–2002: 15 sales (26%) 2003–2007: 16 sales (28%) After 2007: 14 sales (25%)
Bottom line: no measure differs enough between the groups to rule out chance.

5.1 Key differences

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

5.2 At a glance

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

Before 20002000–20022003–2007After 2007Real difference?
Net sale price$570K$655K$569K$459Kunclear
Net price per SF$210 per SF$190 per SF$179 per SF$174 per SFunclear
Living area2,734 SF3,441 SF3,153 SF2,686 SFunclear
Days on market72 days38 days72 days56 daysunclear
Discount from original list9.8%5.9%7.9%6.9%unclear
Price cut before sale67%47%44%50%unclear
Seller paid closing costs or repairs67%60%62%79%unclear
Has a view17%20%44%7%unclear

5.3 Net sale price: no clear difference

2026-10-27T07:07:21.123595 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2000 12 sales 2000– 2002 15 sales 2003– 2007 16 sales After 2007 14 sales $0K $200K $400K $600K $570K $655K $569K $459K Net sale price, average

The average is $459K for homes built after 2007 and $570K for homes built before 2000. It does not move in a straight line; homes built 2000–2002 are highest. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-10-27T07:07:21.146881 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2000 12 sales 2000– 2002 15 sales 2003– 2007 16 sales After 2007 14 sales $0 $100 $200 $210 $190 $179 $174 Net price per SF, average

The average is $174 per SF for homes built after 2007 and $210 per SF for homes built before 2000. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-10-27T07:07:21.168488 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2000 12 sales 2000– 2002 15 sales 2003– 2007 16 sales After 2007 14 sales 0 2,000 4,000 2,734 3,441 3,153 2,686 Living area (SF), average

The average is 2,686 SF for homes built after 2007 and 2,734 SF for homes built before 2000. It does not move in a straight line; homes built 2000–2002 are highest. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-10-27T07:07:21.191187 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2000 12 sales 2000– 2002 15 sales 2003– 2007 16 sales After 2007 14 sales 0 25 50 75 72 38 72 56 Days on market, median

The median is 56 days for homes built after 2007 and 72 days for homes built before 2000. It does not move in a straight line; homes built before 2000 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-10-27T07:07:21.213464 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2000 12 sales 2000– 2002 15 sales 2003– 2007 16 sales After 2007 14 sales 0.0% 5.0% 10.0% 9.8% 5.9% 7.9% 6.9% Discount from original list, average

The average is 6.9% for homes built after 2007 and 9.8% for homes built before 2000. It does not move in a straight line; homes built before 2000 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

2026-10-27T07:07:21.239484 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 17 47 60 20 44 62 44 50 79 7 Before 2000 2000–2002 2003–2007 After 2007

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

  • 50% of homes built after 2007 had a price cut before sale, against 67% of homes built before 2000. Defined in 8.1.7.
  • 79% of homes built after 2007 had the seller pay closing costs or repairs, against 67% of homes built before 2000. Defined in 8.1.8.
  • 7% of homes built after 2007 have a view, against 17% of homes built before 2000. 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 200012 sales2000–200215 sales2003–200716 salesAfter 200714 salesAll57 salesReal difference?
Net sale price average$570,324$654,521$568,521$459,005$564,634unclear
Net price per SF average$210$190$179$174$187unclear
Living area average2,7343,4413,1532,6863,026unclear
Year built median19982000200620122003by design

5.10 The numbers: selling

Before 200012 sales2000–200215 sales2003–200716 salesAfter 200714 salesAll57 salesReal difference?
Days on market median7238725658unclear
Discount from original list average9.8%5.9%7.9%6.9%7.5%unclear
Price cut before sale67%47%44%50%51%unclear
Seller paid closing costs or repairs67%60%62%79%67%unclear
Has a view17%20%44%7%23%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 · 57 sales · October 27, 2025 – October 26, 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. 2 sales whose MLS view entry is only “See Remarks” are left out.

2026-10-27T07:07:21.258319 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 13 42 55 sales Sales per group View: 13 sales (24%) No view: 42 sales (76%)
Bottom line

6.1 Key differences

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

ViewNo view
Homes with a view MLS lists a view
  • Sell for much more.
Homes without a view no view listed
  • Sell for much less.

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$704KHighest$526KLowest✓ large
Net price per SF$205 per SF$182 per SFunclear
Living area3,447 SF2,920 SFunclear
Year built20042002unclear
Days on market81 days54 daysunclear
Discount from original list7.8%7.4%unclear
Price cut before sale54%48%unclear
Seller paid closing costs or repairs62%71%unclear

6.3 Homes with a view sell for about $178K (34%) more than homes without a view

2026-10-27T07:07:21.274987 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 42 sales $0K $200K $400K $600K $800K $704K $526K Net sale price, average

The average is $704K for homes with a view and $526K for homes without a view. Defined in 8.1.1.

✓ Real difference · large

6.4 Net price per SF: no clear difference

2026-10-27T07:07:21.293748 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 42 sales $0 $50 $100 $150 $200 $205 $182 Net price per SF, average

The average is $205 per SF for homes with a view and $182 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

2026-10-27T07:07:21.381841 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 42 sales 0 1,000 2,000 3,000 4,000 3,447 2,920 Living area (SF), average

The average is 3,447 SF for homes with a view and 2,920 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-27T07:07:21.401405 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 42 sales 2002 2005 2008 2004 2002 Year built: median (dot) and middle half (bar)

The median is 2004 for homes with a view and 2002 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-27T07:07:21.419514 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 42 sales 0 20 40 60 80 81 54 Days on market, median

The median is 81 days for homes with a view and 54 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

2026-10-27T07:07:21.438995 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 42 sales 0.0% 2.0% 4.0% 6.0% 8.0% 7.8% 7.4% Discount from original list, average

The average is 7.8% for homes with a view and 7.4% 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

2026-10-27T07:07:21.458174 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 54 62 48 71 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 48% of homes without a view. Defined in 8.1.7.
  • 62% of homes with a view had the seller pay closing costs or repairs, against 71% 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 view42 salesAll55 salesReal difference?
Net sale price average$704,353$526,012$568,166✓ large
Net price per SF average$205$182$187unclear
Living area average3,4472,9203,045unclear
Year built median200420022003unclear

6.11 The numbers: selling

View13 salesNo view42 salesAll55 salesReal difference?
Days on market median815458unclear
Discount from original list average7.8%7.4%7.5%unclear
Price cut before sale54%48%49%unclear
Seller paid closing costs or repairs62%71%69%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 27, 2025 – October 26, 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 Forest Creek.

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
57 resale sales. Average $564,634; median $519,000; standard deviation $174,932; middle half (25th–75th percentile) $427,675–$659,680; lowest $326,500, highest $1,200,000. 38 sales had a seller payment; their median payment was $6,500.

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
57 resale sales. Average $187; median $186; standard deviation $29; middle half (25th–75th percentile) $163–$206; lowest $131, highest $266.

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
57 resale sales. Average 3,026; median 2,947; standard deviation 778; middle half (25th–75th percentile) 2,519–3,553; lowest 1,812, highest 5,089.

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
57 resale sales. Average 2004; median 2003; standard deviation 6; middle half (25th–75th percentile) 2000–2007; lowest 1993, highest 2014.

8.1.5 Days on market

In simple terms
How many days the home was on the market before the buyer's offer was accepted, counting any earlier listing periods (relists). This is the days on market agents and clients quote.
Statistically
CDOM = max(CumulativeDaysOnMarket, DaysOnMarket, PurchaseContractDate − ListingContractDate). The MLS counter can freeze at a price change, so the contract-date gap is a floor. Summarized by the median, because a few homes that sat for months pull an average up.
The data
57 resale sales. Average 78; median 58; standard deviation 76; middle half (25th–75th percentile) 17–107; lowest 3, highest 360. 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
57 resale sales. Average 7.5%; median 6.1%; standard deviation 7.4%; middle half (25th–75th percentile) 3.0%–10.8%; lowest −8.1%, highest 28.0%. 3 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
29 of 57 resale sales (50.9%).

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
38 of 57 resale sales (66.7%).

8.1.9 Has a view

In simple terms
The MLS says the home looks over something: a greenbelt or park, trees, golf course, hill country, water and similar.
Statistically
View = the View field holds any entry other than “None”, “Neighborhood” or “See Remarks”. No view = only “None” and/or “Neighborhood”. A record whose only entry is “See Remarks” cannot be classified and is left out of the view slice.
The data
13 sales with a view, 42 without, 2 unclassified. Most common View entries: None 31, Neighborhood 15, Golf Course 6, Park/Greenbelt 3, See Remarks 3, Trees/Woods 2, Garden 1, Pond 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 “forest creek”, “forest crk” (case-insensitive). A record is kept when its subdivision name belongs to the Forest Creek family, the same rule comparable sales use.
The data
Pulled October 27, 2026: 60 closed Forest Creek records over the prior year, in ZIP 78664. 31 subdivision spellings kept, the most common: Forest Creek (11); Forest Creek Ph 05 (4); Forest Creek Sec 32 (3); Forest Creek Sec 34 (3); Forest Crk Sec 37 (3); Forest Creek Sec 35 (3); Forest Creek Sec 31 (2); Forest Crk Sec 36 (2); Forest Creek Sec 30 (2); Forest Creek Sec 36 (2); Forest Creek Sec 12 (2); Forest Creek SEC 36 (2); and 19 more (21 records). Names found by the search but not part of Forest Creek, left out: Forest Creek Estates Ph 2 (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 36 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 27, 2025 to October 26, 2026 inclusive.
The data
57 single-family sales in the window: 57 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
57 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
3 sale(s) other than single-family homes (condo, townhome and similar)

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 $428K”.
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 $428K: $326,500–$424,990 (14 sales); $428K–$515K: $427,675–$515,000 (14 sales); $519K–$660K: $519,000–$659,680 (15 sales); Over $660K: $675,600–$1,200,000 (14 sales)
Quartiles by living area: Under 2,519 SF: 1,812–2,457 SF (14 sales); 2,519–2,909 SF: 2,519–2,909 SF (14 sales); 2,947–3,553 SF: 2,947–3,553 SF (15 sales); Over 3,553 SF: 3,579–5,089 SF (14 sales)
Quartiles by year built: Before 2000: 1993–1999 (12 sales); 2000–2002: 2000–2002 (15 sales); 2003–2007: 2003–2007 (16 sales); After 2007: 2010–2014 (14 sales)
View and no view: View: MLS lists a view (13 sales); No view: None or Neighborhood (42 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 $564,634, median $519,000. Days on market: average 78, median 58: 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
4 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 = 15.6530.0013p < 0.0063Yesε² = 0.280large
Living areaKruskal–WallisH = 37.123< 0.0001p < 0.0063Yesε² = 0.663large
Year builtKruskal–WallisH = 8.1430.0432p < 0.0063Unclearε² = 0.145large
Days on marketKruskal–WallisH = 2.6330.4524p < 0.0063Unclearε² = 0.047small
Discount from original listKruskal–WallisH = 3.8530.2786p < 0.0063Unclearε² = 0.069medium
Price cut before saleChi-squareχ² = 3.7630.2880p < 0.0063UnclearCramér’s V = 0.257small
Seller paid closing costs or repairsChi-squareχ² = 2.9830.3949p < 0.0063UnclearCramér’s V = 0.229small
Has a viewChi-squareχ² = 8.0430.0451p < 0.0063UnclearCramér’s V = 0.376medium

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 37.703< 0.0001p < 0.0063Yesε² = 0.673large
Net price per SFKruskal–WallisH = 4.3830.2235p < 0.0063Unclearε² = 0.078medium
Year builtKruskal–WallisH = 6.2230.1014p < 0.0063Unclearε² = 0.111medium
Days on marketKruskal–WallisH = 1.3030.7302p < 0.0063Unclearε² = 0.023small
Discount from original listKruskal–WallisH = 4.0630.2547p < 0.0063Unclearε² = 0.073medium
Price cut before saleChi-squareχ² = 4.2230.2385p < 0.0063UnclearCramér’s V = 0.272small
Seller paid closing costs or repairsChi-squareχ² = 2.7930.4259p < 0.0063UnclearCramér’s V = 0.221small
Has a viewChi-squareχ² = 8.6930.0337p < 0.0063UnclearCramér’s V = 0.391medium

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 9.2930.0256p < 0.0063Unclearε² = 0.166large
Net price per SFKruskal–WallisH = 10.7630.0131p < 0.0063Unclearε² = 0.192large
Living areaKruskal–WallisH = 9.1330.0276p < 0.0063Unclearε² = 0.163large
Days on marketKruskal–WallisH = 2.5830.4604p < 0.0063Unclearε² = 0.046small
Discount from original listKruskal–WallisH = 2.3730.4983p < 0.0063Unclearε² = 0.042small
Price cut before saleChi-squareχ² = 1.6330.6519p < 0.0063UnclearCramér’s V = 0.169small
Seller paid closing costs or repairsChi-squareχ² = 1.3230.7249p < 0.0063UnclearCramér’s V = 0.152small
Has a viewChi-squareχ² = 6.2630.0996p < 0.0063UnclearCramér’s V = 0.331medium

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 414.50—0.0052p < 0.0063Yesrank-biserial r = 0.518large
Net price per SFMann–Whitney UU = 398.00—0.0136p < 0.0063Unclearrank-biserial r = 0.458medium
Living areaMann–Whitney UU = 368.00—0.0612p < 0.0063Unclearrank-biserial r = 0.348medium
Year builtMann–Whitney UU = 273.50—1.0000p < 0.0063Unclearrank-biserial r = 0.002negligible
Days on marketMann–Whitney UU = 326.50—0.2935p < 0.0063Unclearrank-biserial r = 0.196small
Discount from original listMann–Whitney UU = 302.00—0.5723p < 0.0063Unclearrank-biserial r = 0.106small
Price cut before saleChi-squareχ² = 0.1510.6947p < 0.0063UnclearCramér’s V = 0.053negligible
Seller paid closing costs or repairsChi-squareχ² = 0.4510.5001p < 0.0063UnclearCramér’s V = 0.091negligible

8.4 Data notes

Left out of the analysis: 0 new-construction sales (basic statistics only, section 7); 3 sale(s) other than single-family homes (condo, townhome and similar). 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 57 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 27, 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.