ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Oaks at San Gabriel

Georgetown, TX 78628 · 78626
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 · 7:31 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
24
single-family resale homes
Median net sale price
$412,151
average $467,635
Median net price per SF
$185
average $185
Median days on market
60 days
average 74 days
1. SummaryResale homes · 24 sales · October 26, 2025 – October 25, 2026

This study looks at the 24 resale homes sold in Oaks at San Gabriel in the 365 days to October 25, 2026. A full year is used because only 16 resale homes sold in the last 180 days. New construction is left out and shown on its own in section 7. The homes are compared four ways: by price, by living area, by year built and with or without a view. The first three are split into four equal groups (quartiles), each named by its range.

Each comparison has its own section (3–6) with everything about it in one place: the key differences, a table of every measure at a glance, the charts and the numbers.

2. Where the resale homes sold24 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 $374K · 6 sales$374K–$410K · 6 sales$414K–$560K · 6 salesOver $560K · 6 sales
3. Quartiles by net sale priceResale homes · 24 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.

2026-10-26T07:31:24.528570 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 6 6 6 24 sales Sales per group Under $374K: 6 sales (25%) $374K–$410K: 6 sales (25%) $414K–$560K: 6 sales (25%) Over $560K: 6 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 $374K$374K–$410K$414K–$560KOver $560K
Higher-priced homes Over $560K
  • Are much larger.
Lower-priced homes Under $374K
  • 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 $374K$374K–$410K$414K–$560KOver $560KReal difference?
Net price per SF$189 per SF$182 per SF$182 per SF$187 per SFunclear
Living area1,770 SFSmallest2,161 SF2,581 SF3,651 SFLargest✓ large
Year built2020201920192020unclear
Days on market66 days10 days164 days34 daysunclear
Discount from original list7.7%4.9%12.1%6.3%unclear
Price cut before sale67%33%100%50%unclear
Seller paid closing costs or repairs33%50%67%67%unclear
Has a view0%0%17%50%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

2026-10-26T07:31:24.557437 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $374K 6 sales $374K– $410K 6 sales $414K– $560K 6 sales Over $560K 6 sales $0 $100 $200 $189 $182 $182 $187 Net price per SF, average

The average is $187 per SF for homes over $560K and $189 per SF for homes under $374K. It does not move in a straight line; homes under $374K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Homes over $560K are about 1,880 SF (106%) larger than homes under $374K

2026-10-26T07:31:24.581666 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $374K 6 sales $374K– $410K 6 sales $414K– $560K 6 sales Over $560K 6 sales 0 2,000 4,000 1,770 2,161 2,581 3,651 Living area (SF), average

The average is 3,651 SF for homes over $560K and 1,770 SF for homes under $374K. 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

2026-10-26T07:31:24.605895 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $374K 6 sales $374K– $410K 6 sales $414K– $560K 6 sales Over $560K 6 sales 2018 2020 2020 2019 2019 2020 Year built: median (dot) and middle half (bar)

The median is 2020 for homes over $560K and 2020 for homes under $374K. It does not move in a straight line; homes under $374K are highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-10-26T07:31:24.630251 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $374K 6 sales $374K– $410K 6 sales $414K– $560K 6 sales Over $560K 6 sales 0 50 100 150 66 10 164 34 Days on market, median

The median is 34 days for homes over $560K and 66 days for homes under $374K. It does not move in a straight line; homes $414K–$560K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-26T07:31:24.654954 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $374K 6 sales $374K– $410K 6 sales $414K– $560K 6 sales Over $560K 6 sales 0.0% 5.0% 10.0% 7.7% 4.9% 12.1% 6.3% Discount from original list, average

The average is 6.3% for homes over $560K and 7.7% for homes under $374K. It does not move in a straight line; homes $414K–$560K 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

2026-10-26T07:31:24.686411 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 33 0 33 50 0 100 67 17 50 67 50 Under $374K $374K–$410K $414K–$560K Over $560K

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

  • 50% of homes over $560K had a price cut before sale, against 67% of homes under $374K. Defined in 8.1.7.
  • 67% of homes over $560K had the seller pay closing costs or repairs, against 33% of homes under $374K. Defined in 8.1.8.
  • 50% of homes over $560K have a view, against 0% of homes under $374K. 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 $374K6 sales$374K–$410K6 sales$414K–$560K6 salesOver $560K6 salesAll24 salesReal difference?
Net sale price average$329,658$390,028$470,244$680,607$467,635by design
Net price per SF average$189$182$182$187$185unclear
Living area average1,7702,1612,5813,6512,541✓ large
Year built median20202019201920202020unclear

3.10 The numbers: selling

Under $374K6 sales$374K–$410K6 sales$414K–$560K6 salesOver $560K6 salesAll24 salesReal difference?
Days on market median66101643460unclear
Discount from original list average7.7%4.9%12.1%6.3%7.8%unclear
Price cut before sale67%33%100%50%62%unclear
Seller paid closing costs or repairs33%50%67%67%54%unclear
Has a view0%0%17%50%17%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 · 24 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.

2026-10-26T07:31:24.708914 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 5 7 6 24 sales Sales per group Under 1,967 SF: 6 sales (25%) 1,967–2,309 SF: 5 sales (21%) 2,330–3,008 SF: 7 sales (29%) Over 3,008 SF: 6 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 1,967 SF1,967–2,309 SF2,330–3,008 SFOver 3,008 SF
Larger homes Over 3,008 SF
  • Sell for much more.
  • Sell for less per square foot.
Smaller homes Under 1,967 SF
  • Sell for much less.
  • 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 1,967 SF1,967–2,309 SF2,330–3,008 SFOver 3,008 SFReal difference?
Net sale price$350KLowest$364K$460K$681KHighest✓ large
Net price per SF$203 per SFHighest$169 per SFLowest$179 per SF$187 per SF✓ large
Year built2020202020192020unclear
Days on market56 days84 days114 days34 daysunclear
Discount from original list7.5%6.8%9.9%6.3%unclear
Price cut before sale67%60%71%50%unclear
Seller paid closing costs or repairs67%40%43%67%unclear
Has a view0%0%14%50%unclear

4.3 Homes over 3,008 SF sell for about $331K (95%) more than homes under 1,967 SF

2026-10-26T07:31:24.732556 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,967 SF 6 sales 1,967– 2,309 SF 5 sales 2,330– 3,008 SF 7 sales Over 3,008 SF 6 sales $0K $250K $500K $750K $350K $364K $460K $681K Net sale price, average

The average is $681K for homes over 3,008 SF and $350K for homes under 1,967 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

✓ Real difference · large

4.4 Homes over 3,008 SF sell for about $16 per SF (8%) less than homes under 1,967 SF

2026-10-26T07:31:24.759283 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,967 SF 6 sales 1,967– 2,309 SF 5 sales 2,330– 3,008 SF 7 sales Over 3,008 SF 6 sales $0 $100 $200 $203 $169 $179 $187 Net price per SF, average

The average is $187 per SF for homes over 3,008 SF and $203 per SF for homes under 1,967 SF. It does not move in a straight line; homes under 1,967 SF are highest. Defined in 8.1.2.

✓ Real difference · large

4.5 Year built: no clear difference

2026-10-26T07:31:24.784740 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,967 SF 6 sales 1,967– 2,309 SF 5 sales 2,330– 3,008 SF 7 sales Over 3,008 SF 6 sales 2016 2018 2020 2020 2020 2019 2020 Year built: median (dot) and middle half (bar)

The median is 2020 for homes over 3,008 SF and 2020 for homes under 1,967 SF. It does not move in a straight line; homes under 1,967 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-10-26T07:31:24.810148 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,967 SF 6 sales 1,967– 2,309 SF 5 sales 2,330– 3,008 SF 7 sales Over 3,008 SF 6 sales 0 50 100 56 84 114 34 Days on market, median

The median is 34 days for homes over 3,008 SF and 56 days for homes under 1,967 SF. It does not move in a straight line; homes 2,330–3,008 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-26T07:31:24.832540 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,967 SF 6 sales 1,967– 2,309 SF 5 sales 2,330– 3,008 SF 7 sales Over 3,008 SF 6 sales 0.0% 5.0% 10.0% 7.5% 6.8% 9.9% 6.3% Discount from original list, average

The average is 6.3% for homes over 3,008 SF and 7.5% for homes under 1,967 SF. It does not move in a straight line; homes 2,330–3,008 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

2026-10-26T07:31:24.858792 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 0 60 40 0 71 43 14 50 67 50 Under 1,967 SF 1,967–2,309 SF 2,330–3,008 SF Over 3,008 SF

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

  • 50% of homes over 3,008 SF had a price cut before sale, against 67% of homes under 1,967 SF. Defined in 8.1.7.
  • 67% of homes over 3,008 SF had the seller pay closing costs or repairs, against 67% of homes under 1,967 SF. Defined in 8.1.8.
  • 50% of homes over 3,008 SF have a view, against 0% of homes under 1,967 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 1,967 SF6 sales1,967–2,309 SF5 sales2,330–3,008 SF7 salesOver 3,008 SF6 salesAll24 salesReal difference?
Net sale price average$349,520$364,060$460,309$680,607$467,635✓ large
Net price per SF average$203$169$179$187$185✓ large
Living area average1,7272,1472,5683,6512,541by design
Year built median20202020201920202020unclear

4.10 The numbers: selling

Under 1,967 SF6 sales1,967–2,309 SF5 sales2,330–3,008 SF7 salesOver 3,008 SF6 salesAll24 salesReal difference?
Days on market median56841143460unclear
Discount from original list average7.5%6.8%9.9%6.3%7.8%unclear
Price cut before sale67%60%71%50%62%unclear
Seller paid closing costs or repairs67%40%43%67%54%unclear
Has a view0%0%14%50%17%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 · 24 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.

2026-10-26T07:31:24.878884 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 5 10 3 24 sales Sales per group Before 2018: 6 sales (25%) 2018–2019: 5 sales (21%) 2020: 10 sales (42%) After 2020: 3 sales (12%)
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

2026-10-26T07:31:24.898957 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2018 6 sales 2018– 2019 5 sales 2020 10 sales After 2020 3 sales $0K $200K $400K $600K $477K $464K $419K $616K Net sale price, average

The average is $616K for homes built after 2020 and $477K for homes built before 2018. It does not move in a straight line; homes built after 2020 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T07:31:24.922438 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2018 6 sales 2018– 2019 5 sales 2020 10 sales After 2020 3 sales $0 $100 $200 $187 $180 $187 $182 Net price per SF, average

The average is $182 per SF for homes built after 2020 and $187 per SF for homes built before 2018. It does not move in a straight line; homes built before 2018 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T07:31:24.943814 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2018 6 sales 2018– 2019 5 sales 2020 10 sales After 2020 3 sales 0 2,000 4,000 2,557 2,573 2,270 3,360 Living area (SF), average

The average is 3,360 SF for homes built after 2020 and 2,557 SF for homes built before 2018. It does not move in a straight line; homes built after 2020 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T07:31:24.965332 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2018 6 sales 2018– 2019 5 sales 2020 10 sales After 2020 3 sales 0 50 100 77 67 54 123 Days on market, median

The median is 123 days for homes built after 2020 and 77 days for homes built before 2018. It does not move in a straight line; homes built after 2020 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T07:31:24.987635 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2018 6 sales 2018– 2019 5 sales 2020 10 sales After 2020 3 sales 0.0% 5.0% 10.0% 8.6% 6.2% 7.0% 11.2% Discount from original list, average

The average is 11.2% for homes built after 2020 and 8.6% for homes built before 2018. It does not move in a straight line; homes built after 2020 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

2026-10-26T07:31:25.012381 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 50 50 0 80 60 20 50 50 10 100 67 67 Before 2018 2018–2019 2020 After 2020

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

  • 100% of homes built after 2020 had a price cut before sale, against 50% of homes built before 2018. Defined in 8.1.7.
  • 67% of homes built after 2020 had the seller pay closing costs or repairs, against 50% of homes built before 2018. Defined in 8.1.8.
  • 67% of homes built after 2020 have a view, against 0% of homes built before 2018. 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 20186 sales2018–20195 sales202010 salesAfter 20203 salesAll24 sales
Net sale price average$476,833$463,694$419,490$616,288$467,635
Net price per SF average$187$180$187$182$185
Living area average2,5572,5732,2703,3602,541
Year built median20162019202020222020

5.10 The numbers: selling

Before 20186 sales2018–20195 sales202010 salesAfter 20203 salesAll24 sales
Days on market median77675412360
Discount from original list average8.6%6.2%7.0%11.2%7.8%
Price cut before sale50%80%50%100%62%
Seller paid closing costs or repairs50%60%50%67%54%
Has a view0%20%10%67%17%

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 · 24 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. 2 sales whose MLS view entry is only “See Remarks” are left out.

2026-10-26T07:31:25.030713 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 18 22 sales Sales per group View: 4 sales (18%) No view: 18 sales (82%)
Bottom line: too few sales to test.

6.1 Key differences

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

6.3 Net sale price: described, not tested

2026-10-26T07:31:25.046041 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 18 sales $0K $200K $400K $600K $611K $423K Net sale price, average

The average is $611K for homes with a view and $423K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-26T07:31:25.064085 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 18 sales $0 $50 $100 $150 $200 $175 $187 Net price per SF, average

The average is $175 per SF for homes with a view and $187 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-26T07:31:25.083138 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 18 sales 0 1,000 2,000 3,000 4,000 3,478 2,273 Living area (SF), average

The average is 3,478 SF for homes with a view and 2,273 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-26T07:31:25.125041 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 18 sales 2017 2018 2019 2020 2021 2020 2019 Year built: median (dot) and middle half (bar)

The median is 2020 for homes with a view and 2019 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-10-26T07:31:25.143974 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 18 sales 0 25 50 75 100 90 56 Days on market, median

The median is 90 days for homes with a view and 56 days for homes without a view. Defined in 8.1.5.

Not tested: too few sales.

6.8 Discount from original list: described, not tested

2026-10-26T07:31:25.163356 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 18 sales 0.0% 2.5% 5.0% 7.5% 10.0% 9.5% 7.1% Discount from original list, average

The average is 9.5% for homes with a view and 7.1% for homes without a view. Defined in 8.1.6.

Not tested: too few sales.

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

2026-10-26T07:31:25.181859 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 75 50 56 50 View No view

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

  • 75% of homes with a view had a price cut before sale, against 56% of homes without a view. Defined in 8.1.7.
  • 50% of homes with a view had the seller pay closing costs or repairs, against 50% of homes without a view. Defined in 8.1.8.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.

6.10 The numbers: price and size

View4 salesNo view18 salesAll22 sales
Net sale price average$611,377$423,246$457,451
Net price per SF average$175$187$185
Living area average3,4782,2732,492
Year built median202020192020

6.11 The numbers: selling

View4 salesNo view18 salesAll22 sales
Days on market median905660
Discount from original list average9.5%7.1%7.6%
Price cut before sale75%56%59%
Seller paid closing costs or repairs50%50%50%

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 · 15 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: 15 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 Oaks at San Gabriel.
MeasureAverageMedian
Sales15
Net sale price$541,148$507,110
Net price per SF$183$181
Living area (SF)2,9693,007
Days on market173168
Discount from original list13.8%16.1%
Price cut before sale87% of sales
Seller paid closing costs or repairs80% of sales
Year built2025–2026

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
24 resale sales. Average $467,635; median $412,151; standard deviation $139,567; middle half (25th–75th percentile) $372,065–$579,598; lowest $302,950, highest $745,000. 13 sales had a seller payment; their median payment was $7,050.

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
24 resale sales. Average $185; median $185; standard deviation $16; middle half (25th–75th percentile) $173–$194; lowest $155, highest $219.

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
24 resale sales. Average 2,541; median 2,330; standard deviation 752; middle half (25th–75th percentile) 1,964–3,083; lowest 1,510, highest 3,864.

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
24 resale sales. Average 2019; median 2020; standard deviation 2; middle half (25th–75th percentile) 2018–2020; lowest 2015, highest 2022.

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
24 resale sales. Average 74; median 60; standard deviation 66; middle half (25th–75th percentile) 18–116; lowest 0, highest 215. 1 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
24 resale sales. Average 7.8%; median 6.8%; standard deviation 5.6%; middle half (25th–75th percentile) 3.4%–11.5%; lowest 0.0%, highest 18.2%. 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
15 of 24 resale sales (62.5%).

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
13 of 24 resale sales (54.2%).

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
4 sales with a view, 18 without, 2 unclassified. Most common View entries: None 12, Neighborhood 7, See Remarks 3, Pond 3, Park/Greenbelt 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 = Georgetown, SubdivisionName contains any of “oaks at san gabriel”, “oaks san gabriel” (case-insensitive). A record is kept when its subdivision name belongs to the Oaks at San Gabriel family, the same rule comparable sales use (it includes Oaks/San Gabriel, proven adjacent and priced alike).
The data
Pulled October 26, 2026: 40 closed Oaks at San Gabriel records over the prior year, in ZIP 78628, 78626. 5 subdivision spellings kept: Oaks at San Gabriel (36); OAKS AT SAN GABRIEL (1); Oaks at San Gabriel Sec 2 (1); Oaks at San Gabriel Sec 10 (1); Oaks at San Gabriel Sec 7 (1). No other names were found by the search.

8.2.2 Study window

In simple terms
The most recent 365 days of closed sales: recent enough to describe today's market, long enough to give each group plenty of sales. The usual window is 180 days; it holds only 16 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
39 single-family sales in the window: 24 resale, 15 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
24 resale; 15 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
1 sale(s) with concessions above 10% of price

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 $374K”.
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 $374K: $302,950–$365,000 (6 sales); $374K–$410K: $374,420–$410,000 (6 sales); $414K–$560K: $414,302–$560,000 (6 sales); Over $560K: $638,394–$745,000 (6 sales)
Quartiles by living area: Under 1,967 SF: 1,510–1,955 SF (6 sales); 1,967–2,309 SF: 1,967–2,309 SF (5 sales); 2,330–3,008 SF: 2,330–3,008 SF (7 sales); Over 3,008 SF: 3,307–3,864 SF (6 sales)
Quartiles by year built: Before 2018: 2015–2017 (6 sales); 2018–2019: 2018–2019 (5 sales); 2020: 2020–2020 (10 sales); After 2020: 2021–2022 (3 sales)
View and no view: View: MLS lists a view (4 sales); No view: None or Neighborhood (18 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 $467,635, median $412,151. Days on market: average 74, median 60: the average is pulled up by a few long listings.

8.2.7 Kruskal–Wallis test

In simple terms
Checks whether a measure really differs across the four groups of a slice. It uses each sale's rank, not its value, so a few extreme sales cannot drive the answer.
Statistically
H = [12/(n(n+1))] Σ Rⱼ²/nⱼ − 3(n+1), compared with χ² on k − 1 degrees of freedom (Kruskal & Wallis, 1952). Effect size ε² = H/(n − 1): ≥ .01 small, ≥ .06 medium, ≥ .14 large (Tomczak & Tomczak, 2014). A slice is tested only when every group has at least 5 sales; smaller groups are described, not tested.
The data
Run on every measure in sections 3–5; each result is in 8.3.

8.2.8 Mann–Whitney U test

In simple terms
The same check when there are only two groups: view against no view.
Statistically
Two-sided U test (Mann & Whitney, 1947). Effect size = rank-biserial correlation |1 − 2U/(n₁n₂)|: ≥ .10 small, ≥ .30 medium, ≥ .50 large (Kerby, 2014; Cohen, 1988).
The data
Run on every measure in section 6; results in 8.3.

8.2.9 Chi-square test

In simple terms
Checks whether a yes/no share (price cut, seller payment, view) differs between groups more than chance would.
Statistically
Pearson χ² on the 2 × k table of counts, no continuity correction (Pearson, 1900). Effect size Cramér's V = √(χ²/n): ≥ .10 small, ≥ .30 medium, ≥ .50 large (Cramér, 1946).
The data
Run on the three shares in every slice; results in 8.3.

8.2.10 Real difference (significance)

In simple terms
“Real difference” means a gap this large would be very unlikely if the groups were really alike. Because many measures are checked in each slice, the bar is set higher than usual.
Statistically
Significant when p < 0.05 ÷ m, where m is the number of measures tested in that slice (Bonferroni; Dunn, 1961). The slicing variable itself differs by design and is not tested.
The data
Quartiles by net sale price: m = 8, threshold p < 0.0063; Quartiles by living area: m = 8, threshold p < 0.0063

8.2.11 Size of a difference

In simple terms
A difference can be real but small. The size word (small, medium, large) says how much the groups pull apart.
Statistically
ε² for Kruskal–Wallis, rank-biserial r for Mann–Whitney, Cramér's V for chi-square, with the thresholds above; below the small threshold the size is “negligible”.
The data
3 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 = 1.1930.7546p < 0.0063Unclearε² = 0.052small
Living areaKruskal–WallisH = 19.7030.0002p < 0.0063Yesε² = 0.857large
Year builtKruskal–WallisH = 1.7130.6357p < 0.0063Unclearε² = 0.074medium
Days on marketKruskal–WallisH = 9.9830.0187p < 0.0063Unclearε² = 0.434large
Discount from original listKruskal–WallisH = 5.4030.1447p < 0.0063Unclearε² = 0.235large
Price cut before saleChi-squareχ² = 6.2230.1013p < 0.0063UnclearCramér’s V = 0.509large
Seller paid closing costs or repairsChi-squareχ² = 1.8530.6049p < 0.0063UnclearCramér’s V = 0.277small
Has a viewChi-squareχ² = 7.2030.0658p < 0.0063UnclearCramér’s V = 0.548large

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 19.3830.0002p < 0.0063Yesε² = 0.843large
Net price per SFKruskal–WallisH = 13.5030.0037p < 0.0063Yesε² = 0.587large
Year builtKruskal–WallisH = 2.2230.5281p < 0.0063Unclearε² = 0.096medium
Days on marketKruskal–WallisH = 2.9030.4072p < 0.0063Unclearε² = 0.126medium
Discount from original listKruskal–WallisH = 2.0630.5608p < 0.0063Unclearε² = 0.089medium
Price cut before saleChi-squareχ² = 0.7030.8742p < 0.0063UnclearCramér’s V = 0.170small
Seller paid closing costs or repairsChi-squareχ² = 1.5230.6776p < 0.0063UnclearCramér’s V = 0.252small
Has a viewChi-squareχ² = 7.0330.0710p < 0.0063UnclearCramér’s V = 0.541large

8.3.3 Quartiles by year built

Too few sales in a group to test.

8.3.4 View and no view

Too few sales in a group to test.

8.4 Data notes

Left out of the analysis: 15 new-construction sales (basic statistics only, section 7); 1 sale(s) with concessions above 10% of price. 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 24 closed MLS resale sales; the 15 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.