ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

6 Creeks

Kyle, TX 78640
Resale homes · closed Nov 6 – Nov 5, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
November 6, 2026 · 6:49 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
32
single-family resale homes
Median net sale price
$484,000
average $502,308
Median net price per SF
$193
average $191
Median days on market
103 days
average 125 days
1. SummaryResale homes · 32 sales · November 6, 2025 – November 5, 2026

This study looks at the 32 resale homes sold in 6 Creeks in the 365 days to November 5, 2026. A full year is used because only 20 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 sold32 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 $418K · 8 sales$418K–$483K · 8 sales$485K–$565K · 7 salesOver $565K · 9 sales
3. Quartiles by net sale priceResale homes · 32 sales · November 6, 2025 – November 5, 2026

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

2026-11-06T06:50:09.043117 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 8 8 7 9 32 sales Sales per group Under $418K: 8 sales (25%) $418K–$483K: 8 sales (25%) $485K–$565K: 7 sales (22%) Over $565K: 9 sales (28%)
Bottom line

3.1 Key differences

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

Under $418K$418K–$483K$485K–$565KOver $565K
Higher-priced homes Over $565K
  • Are much larger.
Lower-priced homes Under $418K
  • Are much smaller.

3.2 At a glance

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

Under $418K$418K–$483K$485K–$565KOver $565KReal difference?
Net price per SF$182 per SF$193 per SF$186 per SF$199 per SFunclear
Living area2,135 SFSmallest2,310 SF2,862 SF3,231 SFLargest✓ large
Year built2021202220242022unclear
Days on market134 days97 days103 days96 daysunclear
Discount from original list10.5%8.0%7.2%7.1%unclear
Price cut before sale75%100%86%56%unclear
Seller paid closing costs or repairs62%38%57%78%unclear
Has a view50%12%29%22%unclear

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

3.3 Net price per SF: no clear difference

2026-11-06T06:50:09.071619 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $418K 8 sales $418K– $483K 8 sales $485K– $565K 7 sales Over $565K 9 sales $0 $100 $200 $182 $193 $186 $199 Net price per SF, average

The average is $199 per SF for homes over $565K and $182 per SF for homes under $418K. It does not move in a straight line; homes over $565K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Homes over $565K are about 1,100 SF (51%) larger than homes under $418K

2026-11-06T06:50:09.094070 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $418K 8 sales $418K– $483K 8 sales $485K– $565K 7 sales Over $565K 9 sales 0 1,000 2,000 3,000 2,135 2,310 2,862 3,231 Living area (SF), average

The average is 3,231 SF for homes over $565K and 2,135 SF for homes under $418K. 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

2026-11-06T06:50:09.118640 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $418K 8 sales $418K– $483K 8 sales $485K– $565K 7 sales Over $565K 9 sales 2021 2022 2023 2024 2021 2022 2024 2022 Year built: median (dot) and middle half (bar)

The median is 2022 for homes over $565K and 2021 for homes under $418K. It does not move in a straight line; homes $485K–$565K are highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-11-06T06:50:09.141805 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $418K 8 sales $418K– $483K 8 sales $485K– $565K 7 sales Over $565K 9 sales 0 50 100 150 134 97 103 96 Days on market, median

The median is 96 days for homes over $565K and 134 days for homes under $418K. It does not move in a straight line; homes under $418K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-11-06T06:50:09.164526 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $418K 8 sales $418K– $483K 8 sales $485K– $565K 7 sales Over $565K 9 sales 0.0% 5.0% 10.0% 10.5% 8.0% 7.2% 7.1% Discount from original list, average

The average is 7.1% for homes over $565K and 10.5% for homes under $418K. 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

2026-11-06T06:50:09.194787 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% 75 62 50 100 38 12 86 57 29 56 78 22 Under $418K $418K–$483K $485K–$565K Over $565K

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

  • 56% of homes over $565K had a price cut before sale, against 75% of homes under $418K. Defined in 8.1.7.
  • 78% of homes over $565K had the seller pay closing costs or repairs, against 62% of homes under $418K. Defined in 8.1.8.
  • 22% of homes over $565K have a view, against 50% of homes under $418K. 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 $418K8 sales$418K–$483K8 sales$485K–$565K7 salesOver $565K9 salesAll32 salesReal difference?
Net sale price average$384,706$443,906$525,814$640,474$502,308by design
Net price per SF average$182$193$186$199$191unclear
Living area average2,1352,3102,8623,2312,646✓ large
Year built median20212022202420222022unclear

3.10 The numbers: selling

Under $418K8 sales$418K–$483K8 sales$485K–$565K7 salesOver $565K9 salesAll32 salesReal difference?
Days on market median1349710396103unclear
Discount from original list average10.5%8.0%7.2%7.1%8.2%unclear
Price cut before sale75%100%86%56%78%unclear
Seller paid closing costs or repairs62%38%57%78%59%unclear
Has a view50%12%29%22%28%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 · 32 sales · November 6, 2025 – November 5, 2026

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

2026-11-06T06:50:09.215288 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 8 8 8 8 32 sales Sales per group Under 2,320 SF: 8 sales (25%) 2,320–2,493 SF: 8 sales (25%) 2,545–3,060 SF: 8 sales (25%) Over 3,060 SF: 8 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 2,320 SF2,320–2,493 SF2,545–3,060 SFOver 3,060 SF
Larger homes Over 3,060 SF
  • Sell for much more.
Smaller homes Under 2,320 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 2,320 SF2,320–2,493 SF2,545–3,060 SFOver 3,060 SFReal difference?
Net sale price$403KLowest$442K$529K$635KHighest✓ large
Net price per SF$201 per SF$184 per SF$190 per SF$188 per SFunclear
Year built2023202120222022unclear
Days on market136 days102 days118 days98 daysunclear
Discount from original list8.8%7.9%8.6%7.6%unclear
Price cut before sale88%75%75%75%unclear
Seller paid closing costs or repairs25%75%75%62%unclear
Has a view50%25%12%25%unclear

4.3 Homes over 3,060 SF sell for about $231K (57%) more than homes under 2,320 SF

2026-11-06T06:50:09.235597 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,320 SF 8 sales 2,320– 2,493 SF 8 sales 2,545– 3,060 SF 8 sales Over 3,060 SF 8 sales $0K $200K $400K $600K $403K $442K $529K $635K Net sale price, average

The average is $635K for homes over 3,060 SF and $403K for homes under 2,320 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

2026-11-06T06:50:09.258157 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,320 SF 8 sales 2,320– 2,493 SF 8 sales 2,545– 3,060 SF 8 sales Over 3,060 SF 8 sales $0 $100 $200 $201 $184 $190 $188 Net price per SF, average

The average is $188 per SF for homes over 3,060 SF and $201 per SF for homes under 2,320 SF. It does not move in a straight line; homes under 2,320 SF are highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-11-06T06:50:09.282381 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,320 SF 8 sales 2,320– 2,493 SF 8 sales 2,545– 3,060 SF 8 sales Over 3,060 SF 8 sales 2020 2021 2022 2023 2024 2023 2021 2022 2022 Year built: median (dot) and middle half (bar)

The median is 2022 for homes over 3,060 SF and 2023 for homes under 2,320 SF. It does not move in a straight line; homes under 2,320 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-11-06T06:50:09.305380 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,320 SF 8 sales 2,320– 2,493 SF 8 sales 2,545– 3,060 SF 8 sales Over 3,060 SF 8 sales 0 50 100 150 136 102 118 98 Days on market, median

The median is 98 days for homes over 3,060 SF and 136 days for homes under 2,320 SF. It does not move in a straight line; homes under 2,320 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-11-06T06:50:09.327577 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,320 SF 8 sales 2,320– 2,493 SF 8 sales 2,545– 3,060 SF 8 sales Over 3,060 SF 8 sales 0.0% 5.0% 10.0% 8.8% 7.9% 8.6% 7.6% Discount from original list, average

The average is 7.6% for homes over 3,060 SF and 8.8% for homes under 2,320 SF. It does not move in a straight line; homes under 2,320 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

2026-11-06T06:50:09.353585 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% 88 25 50 75 75 25 75 75 12 75 62 25 Under 2,320 SF 2,320–2,493 SF 2,545–3,060 SF Over 3,060 SF

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

  • 75% of homes over 3,060 SF had a price cut before sale, against 88% of homes under 2,320 SF. Defined in 8.1.7.
  • 62% of homes over 3,060 SF had the seller pay closing costs or repairs, against 25% of homes under 2,320 SF. Defined in 8.1.8.
  • 25% of homes over 3,060 SF have a view, against 50% of homes under 2,320 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 2,320 SF8 sales2,320–2,493 SF8 sales2,545–3,060 SF8 salesOver 3,060 SF8 salesAll32 salesReal difference?
Net sale price average$403,388$442,106$529,052$634,688$502,308✓ large
Net price per SF average$201$184$190$188$191unclear
Living area average2,0102,4052,7783,3912,646by design
Year built median20232021202220222022unclear

4.10 The numbers: selling

Under 2,320 SF8 sales2,320–2,493 SF8 sales2,545–3,060 SF8 salesOver 3,060 SF8 salesAll32 salesReal difference?
Days on market median13610211898103unclear
Discount from original list average8.8%7.9%8.6%7.6%8.2%unclear
Price cut before sale88%75%75%75%78%unclear
Seller paid closing costs or repairs25%75%75%62%59%unclear
Has a view50%25%12%25%28%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 · 32 sales · November 6, 2025 – November 5, 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.

2026-11-06T06:50:09.373906 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 9 9 8 32 sales Sales per group Before 2021: 6 sales (19%) 2021: 9 sales (28%) 2022–2023: 9 sales (28%) After 2023: 8 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 202120212022–2023After 2023Real difference?
Net sale price$490K$489K$546K$478Kunclear
Net price per SF$186 per SF$196 per SF$186 per SF$193 per SFunclear
Living area2,596 SF2,494 SF2,936 SF2,529 SFunclear
Days on market105 days99 days132 days105 daysunclear
Discount from original list7.8%5.4%10.7%9.1%unclear
Price cut before sale83%56%78%100%unclear
Seller paid closing costs or repairs67%56%78%38%unclear
Has a view17%33%22%38%unclear

5.3 Net sale price: no clear difference

2026-11-06T06:50:09.394122 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2021 6 sales 2021 9 sales 2022– 2023 9 sales After 2023 8 sales $0K $200K $400K $600K $490K $489K $546K $478K Net sale price, average

The average is $478K for homes built after 2023 and $490K for homes built before 2021. It does not move in a straight line; homes built 2022–2023 are highest. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-11-06T06:50:09.416575 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2021 6 sales 2021 9 sales 2022– 2023 9 sales After 2023 8 sales $0 $100 $200 $186 $196 $186 $193 Net price per SF, average

The average is $193 per SF for homes built after 2023 and $186 per SF for homes built before 2021. It does not move in a straight line; homes built 2021 are highest. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-11-06T06:50:09.437679 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2021 6 sales 2021 9 sales 2022– 2023 9 sales After 2023 8 sales 0 1,000 2,000 3,000 2,596 2,494 2,936 2,529 Living area (SF), average

The average is 2,529 SF for homes built after 2023 and 2,596 SF for homes built before 2021. It does not move in a straight line; homes built 2022–2023 are highest. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-11-06T06:50:09.458834 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2021 6 sales 2021 9 sales 2022– 2023 9 sales After 2023 8 sales 0 50 100 150 105 99 132 105 Days on market, median

The median is 105 days for homes built after 2023 and 105 days for homes built before 2021. It does not move in a straight line; homes built 2022–2023 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-11-06T06:50:09.481447 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2021 6 sales 2021 9 sales 2022– 2023 9 sales After 2023 8 sales 0.0% 5.0% 10.0% 7.8% 5.4% 10.7% 9.1% Discount from original list, average

The average is 9.1% for homes built after 2023 and 7.8% for homes built before 2021. It does not move in a straight line; homes built 2022–2023 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

2026-11-06T06:50:09.506597 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% 83 67 17 56 56 33 78 78 22 100 38 38 Before 2021 2021 2022–2023 After 2023

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

  • 100% of homes built after 2023 had a price cut before sale, against 83% of homes built before 2021. Defined in 8.1.7.
  • 38% of homes built after 2023 had the seller pay closing costs or repairs, against 67% of homes built before 2021. Defined in 8.1.8.
  • 38% of homes built after 2023 have a view, against 17% of homes built before 2021. 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 20216 sales20219 sales2022–20239 salesAfter 20238 salesAll32 salesReal difference?
Net sale price average$489,501$488,917$545,923$477,912$502,308unclear
Net price per SF average$186$196$186$193$191unclear
Living area average2,5962,4942,9362,5292,646unclear
Year built median20202021202220242022by design

5.10 The numbers: selling

Before 20216 sales20219 sales2022–20239 salesAfter 20238 salesAll32 salesReal difference?
Days on market median10599132105103unclear
Discount from original list average7.8%5.4%10.7%9.1%8.2%unclear
Price cut before sale83%56%78%100%78%unclear
Seller paid closing costs or repairs67%56%78%38%59%unclear
Has a view17%33%22%38%28%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 · 32 sales · November 6, 2025 – November 5, 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.

2026-11-06T06:50:09.524912 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 9 21 30 sales Sales per group View: 9 sales (30%) No view: 21 sales (70%)
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$497K$512Kunclear
Net price per SF$198 per SF$188 per SFunclear
Living area2,536 SF2,724 SFunclear
Year built20222022unclear
Days on market103 days103 daysunclear
Discount from original list7.0%8.5%unclear
Price cut before sale56%86%unclear
Seller paid closing costs or repairs56%57%unclear

6.3 Net sale price: no clear difference

2026-11-06T06:50:09.540718 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 9 sales No view 21 sales $0K $200K $400K $600K $497K $512K Net sale price, average

The average is $497K for homes with a view and $512K 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

2026-11-06T06:50:09.559229 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 9 sales No view 21 sales $0 $50 $100 $150 $200 $198 $188 Net price per SF, average

The average is $198 per SF for homes with a view and $188 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

2026-11-06T06:50:09.577929 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 9 sales No view 21 sales 0 1,000 2,000 3,000 2,536 2,724 Living area (SF), average

The average is 2,536 SF for homes with a view and 2,724 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-11-06T06:50:09.621536 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 9 sales No view 21 sales 2021 2022 2023 2024 2022 2022 Year built: median (dot) and middle half (bar)

The median is 2022 for homes with a view and 2022 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-11-06T06:50:09.639992 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 9 sales No view 21 sales 0 25 50 75 100 103 103 Days on market, median

The median is 103 days for homes with a view and 103 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

2026-11-06T06:50:09.659705 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 9 sales No view 21 sales 0.0% 2.5% 5.0% 7.5% 10.0% 7.0% 8.5% Discount from original list, average

The average is 7.0% for homes with a view and 8.5% 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

2026-11-06T06:50:09.678703 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 56 56 86 57 View No view

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

  • 56% of homes with a view had a price cut before sale, against 86% of homes without a view. Defined in 8.1.7.
  • 56% of homes with a view had the seller pay closing costs or repairs, against 57% 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

View9 salesNo view21 salesAll30 salesReal difference?
Net sale price average$496,890$512,231$507,629unclear
Net price per SF average$198$188$191unclear
Living area average2,5362,7242,668unclear
Year built median202220222022unclear

6.11 The numbers: selling

View9 salesNo view21 salesAll30 salesReal difference?
Days on market median103103103unclear
Discount from original list average7.0%8.5%8.0%unclear
Price cut before sale56%86%77%unclear
Seller paid closing costs or repairs56%57%57%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 · 107 sales · November 6, 2025 – November 5, 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: 107 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 6 Creeks.
MeasureAverageMedian
Sales107
Net sale price$515,932$485,000
Net price per SF$195$195
Living area (SF)2,6542,662
Days on market197172
Discount from original list14.2%14.7%
Price cut before sale88% of sales
Seller paid closing costs or repairs81% of sales
Year built2020–2026

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
32 resale sales. Average $502,308; median $484,000; standard deviation $106,879; middle half (25th–75th percentile) $414,762–$569,430; lowest $360,000, highest $740,000. 19 sales had a seller payment; their median payment was $6,000.

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
32 resale sales. Average $191; median $193; standard deviation $19; middle half (25th–75th percentile) $179–$203; lowest $151, highest $222.

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
32 resale sales. Average 2,646; median 2,519; standard deviation 549; middle half (25th–75th percentile) 2,316–3,081; lowest 1,792, highest 4,074.

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
32 resale sales. Average 2022; median 2022; standard deviation 2; middle half (25th–75th percentile) 2021–2023; lowest 2019, highest 2026.

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
32 resale sales. Average 125; median 103; standard deviation 85; middle half (25th–75th percentile) 69–168; lowest 14, highest 404. 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
32 resale sales. Average 8.2%; median 8.3%; standard deviation 4.7%; middle half (25th–75th percentile) 4.8%–11.3%; lowest 0.6%, highest 18.8%. 0 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
25 of 32 resale sales (78.1%).

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
19 of 32 resale sales (59.4%).

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
9 sales with a view, 21 without, 2 unclassified. Most common View entries: None 14, Neighborhood 12, Park/Greenbelt 6, Trees/Woods 4, See Remarks 2, Pool 2, Hill Country 1, 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 2026-11-06 12:45 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Kyle, SubdivisionName contains any of “6 creeks” (case-insensitive). A record is kept when its subdivision name belongs to the 6 Creeks family, the same rule comparable sales use.
The data
Pulled November 6, 2026: 139 closed 6 Creeks records over the prior year, in ZIP 78640. 15 subdivision spellings kept, the most common: 6 Creeks (87); 6 CREEKS (17); 6 Creeks Ph 1 Sec 2 (6); 6 Creeks Ph 1 Sec 3 (5); 6 Creeks Sec 10 (4); 6 Creeks Ph 1 Sec 1 (3); 6 Creeks Ph 1 Sec 9 (3); 6 Creeks Ph 1 Sec 8B (3); 6 Creeks Ph 1 Sec 8A (3); 6 Creeks Ph 1 Sec 4A (2); 6 Creeks Ph 1 Sec 4B (2); 6 Creeks Ph 1 Sec 13B (1); and 3 more (3 records). Names found by the search but not part of 6 Creeks, left out: 6 Creeks at Waterridge (10); 6 Creeks at Waterridge 45s (3); 6 Creeks at Waterridge 60s (3); 6 Creeks at Waterridge: 60ft. lots (2); 6 Creeks at Waterridge: 55ft. lots (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 20 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from November 6, 2025 to November 5, 2026 inclusive.
The data
139 single-family sales in the window: 32 resale, 107 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
32 resale; 107 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 $418K”.
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 $418K: $360,000–$406,550 (8 sales); $418K–$483K: $417,500–$483,000 (8 sales); $485K–$565K: $485,000–$565,000 (7 sales); Over $565K: $569,430–$740,000 (9 sales)
Quartiles by living area: Under 2,320 SF: 1,792–2,303 SF (8 sales); 2,320–2,493 SF: 2,320–2,493 SF (8 sales); 2,545–3,060 SF: 2,545–3,060 SF (8 sales); Over 3,060 SF: 3,144–4,074 SF (8 sales)
Quartiles by year built: Before 2021: 2019–2020 (6 sales); 2021: 2021–2021 (9 sales); 2022–2023: 2022–2023 (9 sales); After 2023: 2024–2026 (8 sales)
View and no view: View: MLS lists a view (9 sales); No view: None or Neighborhood (21 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 $502,308, median $484,000. Days on market: average 125, median 103: 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
2 real differences across the four slices; sizes are listed in 8.3.

8.2.12 Rounding in the text

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

8.3 Test results

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

8.3.1 Quartiles by net sale price

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net price per SFKruskal–WallisH = 3.8730.2757p < 0.0063Unclearε² = 0.125medium
Living areaKruskal–WallisH = 22.933< 0.0001p < 0.0063Yesε² = 0.740large
Year builtKruskal–WallisH = 4.4930.2133p < 0.0063Unclearε² = 0.145large
Days on marketKruskal–WallisH = 3.1330.3715p < 0.0063Unclearε² = 0.101medium
Discount from original listKruskal–WallisH = 2.6030.4576p < 0.0063Unclearε² = 0.084medium
Price cut before saleChi-squareχ² = 5.2030.1574p < 0.0063UnclearCramér’s V = 0.403medium
Seller paid closing costs or repairsChi-squareχ² = 2.9030.4077p < 0.0063UnclearCramér’s V = 0.301medium
Has a viewChi-squareχ² = 3.0230.3892p < 0.0063UnclearCramér’s V = 0.307medium

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 22.343< 0.0001p < 0.0063Yesε² = 0.721large
Net price per SFKruskal–WallisH = 3.7830.2860p < 0.0063Unclearε² = 0.122medium
Year builtKruskal–WallisH = 5.8530.1189p < 0.0063Unclearε² = 0.189large
Days on marketKruskal–WallisH = 1.3330.7212p < 0.0063Unclearε² = 0.043small
Discount from original listKruskal–WallisH = 1.0330.7930p < 0.0063Unclearε² = 0.033small
Price cut before saleChi-squareχ² = 0.5530.9081p < 0.0063UnclearCramér’s V = 0.131small
Seller paid closing costs or repairsChi-squareχ² = 5.5730.1345p < 0.0063UnclearCramér’s V = 0.417medium
Has a viewChi-squareχ² = 2.9430.4014p < 0.0063UnclearCramér’s V = 0.303medium

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 2.3330.5070p < 0.0063Unclearε² = 0.075medium
Net price per SFKruskal–WallisH = 1.3730.7134p < 0.0063Unclearε² = 0.044small
Living areaKruskal–WallisH = 3.4930.3223p < 0.0063Unclearε² = 0.113medium
Days on marketKruskal–WallisH = 2.2030.5325p < 0.0063Unclearε² = 0.071medium
Discount from original listKruskal–WallisH = 6.6030.0860p < 0.0063Unclearε² = 0.213large
Price cut before saleChi-squareχ² = 5.0230.1705p < 0.0063UnclearCramér’s V = 0.396medium
Seller paid closing costs or repairsChi-squareχ² = 3.0430.3859p < 0.0063UnclearCramér’s V = 0.308medium
Has a viewChi-squareχ² = 1.0130.7980p < 0.0063UnclearCramér’s V = 0.178small

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 77.00—0.4416p < 0.0063Unclearrank-biserial r = 0.185small
Net price per SFMann–Whitney UU = 121.00—0.2393p < 0.0063Unclearrank-biserial r = 0.280small
Living areaMann–Whitney UU = 64.50—0.1817p < 0.0063Unclearrank-biserial r = 0.317medium
Year builtMann–Whitney UU = 100.00—0.8180p < 0.0063Unclearrank-biserial r = 0.058negligible
Days on marketMann–Whitney UU = 87.50—0.7686p < 0.0063Unclearrank-biserial r = 0.074negligible
Discount from original listMann–Whitney UU = 76.00—0.4152p < 0.0063Unclearrank-biserial r = 0.196small
Price cut before saleChi-squareχ² = 3.2010.0735p < 0.0063UnclearCramér’s V = 0.327medium
Seller paid closing costs or repairsChi-squareχ² = 0.0110.9359p < 0.0063UnclearCramér’s V = 0.015negligible

8.4 Data notes

Left out of the analysis: 107 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 32 closed MLS resale sales; the 107 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled November 6, 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.