ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Sorento

Pflugerville, TX 78660
Resale homes · closed Oct 30 – Oct 29, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
October 30, 2026 · 7:45 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
32
single-family resale homes
Median net sale price
$389,750
average $415,226
Median net price per SF
$194
average $196
Median days on market
50 days
average 78 days
1. SummaryResale homes · 32 sales · October 30, 2025 – October 29, 2026

This study looks at the 32 resale homes sold in Sorento in the 365 days to October 29, 2026. A full year is used because only 17 resale homes sold in the last 180 days. New construction is left out and shown on its own in section 7. The homes are compared four ways: by price, by living area, by year built and with or without a view. The first three are split into four equal groups (quartiles), each named by its range.

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

2. Where the resale homes 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 $360K · 8 sales$360K–$385K · 8 sales$394K–$455K · 8 salesOver $455K · 8 sales
3. Quartiles by net sale priceResale homes · 32 sales · October 30, 2025 – October 29, 2026

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

2026-10-30T07:45:54.785635 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 8 8 8 8 32 sales Sales per group Under $360K: 8 sales (25%) $360K–$385K: 8 sales (25%) $394K–$455K: 8 sales (25%) Over $455K: 8 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 $360K$360K–$385K$394K–$455KOver $455K
Higher-priced homes Over $455K
  • Are much larger.
Lower-priced homes Under $360K
  • 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 $360K$360K–$385K$394K–$455KOver $455KReal difference?
Net price per SF$211 per SF$195 per SF$188 per SF$189 per SFunclear
Living area1,521 SFSmallest1,916 SF2,257 SF2,929 SFLargest✓ large
Year built2020202020212020unclear
Days on market74 days50 days50 days43 daysunclear
Discount from original list7.1%8.1%6.8%5.3%unclear
Price cut before sale75%62%62%50%unclear
Seller paid closing costs or repairs62%62%38%62%unclear
Has a view12%12%12%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

2026-10-30T07:45:54.815134 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $360K 8 sales $360K– $385K 8 sales $394K– $455K 8 sales Over $455K 8 sales $0 $100 $200 $211 $195 $188 $189 Net price per SF, average

The average is $189 per SF for homes over $455K and $211 per SF for homes under $360K. It does not move in a straight line; homes under $360K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Homes over $455K are about 1,410 SF (93%) larger than homes under $360K

2026-10-30T07:45:54.838021 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $360K 8 sales $360K– $385K 8 sales $394K– $455K 8 sales Over $455K 8 sales 0 1,000 2,000 3,000 1,521 1,916 2,257 2,929 Living area (SF), average

The average is 2,929 SF for homes over $455K and 1,521 SF for homes under $360K. 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

2026-10-30T07:45:54.864000 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $360K 8 sales $360K– $385K 8 sales $394K– $455K 8 sales Over $455K 8 sales 2018 2019 2020 2021 2022 2020 2020 2021 2020 Year built: median (dot) and middle half (bar)

The median is 2020 for homes over $455K and 2020 for homes under $360K. It does not move in a straight line; homes $394K–$455K are highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-10-30T07:45:54.887693 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $360K 8 sales $360K– $385K 8 sales $394K– $455K 8 sales Over $455K 8 sales 0 25 50 75 74 50 50 43 Days on market, median

The median is 43 days for homes over $455K and 74 days for homes under $360K. It falls step by step from the lowest range to the highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-30T07:45:54.910742 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $360K 8 sales $360K– $385K 8 sales $394K– $455K 8 sales Over $455K 8 sales 0.0% 2.5% 5.0% 7.5% 7.1% 8.1% 6.8% 5.3% Discount from original list, average

The average is 5.3% for homes over $455K and 7.1% for homes under $360K. It does not move in a straight line; homes $360K–$385K 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

2026-10-30T07:45:54.941339 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 12 62 62 12 62 38 12 50 62 50 Under $360K $360K–$385K $394K–$455K Over $455K

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

  • 50% of homes over $455K had a price cut before sale, against 75% of homes under $360K. Defined in 8.1.7.
  • 62% of homes over $455K had the seller pay closing costs or repairs, against 62% of homes under $360K. Defined in 8.1.8.
  • 50% of homes over $455K have a view, against 12% of homes under $360K. 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 $360K8 sales$360K–$385K8 sales$394K–$455K8 salesOver $455K8 salesAll32 salesReal difference?
Net sale price average$312,580$371,943$419,750$556,632$415,226by design
Net price per SF average$211$195$188$189$196unclear
Living area average1,5211,9162,2572,9292,156✓ large
Year built median20202020202120202020unclear

3.10 The numbers: selling

Under $360K8 sales$360K–$385K8 sales$394K–$455K8 salesOver $455K8 salesAll32 salesReal difference?
Days on market median7450504350unclear
Discount from original list average7.1%8.1%6.8%5.3%6.8%unclear
Price cut before sale75%62%62%50%62%unclear
Seller paid closing costs or repairs62%62%38%62%56%unclear
Has a view12%12%12%50%22%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 · October 30, 2025 – October 29, 2026

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

2026-10-30T07:45:54.962749 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 8 8 8 8 32 sales Sales per group Under 1,901 SF: 8 sales (25%) 1,901–1,978 SF: 8 sales (25%) 2,088–2,611 SF: 8 sales (25%) Over 2,611 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 1,901 SF1,901–1,978 SF2,088–2,611 SFOver 2,611 SF
Larger homes Over 2,611 SF
  • Sell for much more.
  • Sell for less per square foot.
Smaller homes Under 1,901 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 1,901 SF1,901–1,978 SF2,088–2,611 SFOver 2,611 SFReal difference?
Net sale price$320KLowest$372K$416K$553KHighest✓ large
Net price per SF$221 per SFHighest$193 per SF$181 per SFLowest$188 per SF✓ large
Year built2020202020222018unclear
Days on market74 days50 days42 days62 daysunclear
Discount from original list7.5%7.7%6.4%5.7%unclear
Price cut before sale75%62%62%50%unclear
Seller paid closing costs or repairs62%50%38%75%unclear
Has a view12%25%0%50%unclear

4.3 Homes over 2,611 SF sell for about $233K (73%) more than homes under 1,901 SF

2026-10-30T07:45:54.983278 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,901 SF 8 sales 1,901– 1,978 SF 8 sales 2,088– 2,611 SF 8 sales Over 2,611 SF 8 sales $0K $200K $400K $600K $320K $372K $416K $553K Net sale price, average

The average is $553K for homes over 2,611 SF and $320K for homes under 1,901 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 2,611 SF sell for about $33 per SF (15%) less than homes under 1,901 SF

2026-10-30T07:45:55.007981 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,901 SF 8 sales 1,901– 1,978 SF 8 sales 2,088– 2,611 SF 8 sales Over 2,611 SF 8 sales $0 $100 $200 $221 $193 $181 $188 Net price per SF, average

The average is $188 per SF for homes over 2,611 SF and $221 per SF for homes under 1,901 SF. It does not move in a straight line; homes under 1,901 SF are highest. Defined in 8.1.2.

✓ Real difference · large

4.5 Year built: no clear difference

2026-10-30T07:45:55.031199 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,901 SF 8 sales 1,901– 1,978 SF 8 sales 2,088– 2,611 SF 8 sales Over 2,611 SF 8 sales 2018 2020 2022 2020 2020 2022 2018 Year built: median (dot) and middle half (bar)

The median is 2018 for homes over 2,611 SF and 2020 for homes under 1,901 SF. It does not move in a straight line; homes 2,088–2,611 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-10-30T07:45:55.064658 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,901 SF 8 sales 1,901– 1,978 SF 8 sales 2,088– 2,611 SF 8 sales Over 2,611 SF 8 sales 0 25 50 75 74 50 42 62 Days on market, median

The median is 62 days for homes over 2,611 SF and 74 days for homes under 1,901 SF. It does not move in a straight line; homes under 1,901 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-30T07:45:55.096268 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,901 SF 8 sales 1,901– 1,978 SF 8 sales 2,088– 2,611 SF 8 sales Over 2,611 SF 8 sales 0.0% 2.5% 5.0% 7.5% 7.5% 7.7% 6.4% 5.7% Discount from original list, average

The average is 5.7% for homes over 2,611 SF and 7.5% for homes under 1,901 SF. It does not move in a straight line; homes 1,901–1,978 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

2026-10-30T07:45:55.137426 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 12 62 50 25 62 38 0 50 75 50 Under 1,901 SF 1,901–1,978 SF 2,088–2,611 SF Over 2,611 SF

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

  • 50% of homes over 2,611 SF had a price cut before sale, against 75% of homes under 1,901 SF. Defined in 8.1.7.
  • 75% of homes over 2,611 SF had the seller pay closing costs or repairs, against 62% of homes under 1,901 SF. Defined in 8.1.8.
  • 50% of homes over 2,611 SF have a view, against 12% of homes under 1,901 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 1,901 SF8 sales1,901–1,978 SF8 sales2,088–2,611 SF8 salesOver 2,611 SF8 salesAll32 salesReal difference?
Net sale price average$319,668$372,387$415,969$552,882$415,226✓ large
Net price per SF average$221$193$181$188$196✓ large
Living area average1,4601,9322,2982,9322,156by design
Year built median20202020202220182020unclear

4.10 The numbers: selling

Under 1,901 SF8 sales1,901–1,978 SF8 sales2,088–2,611 SF8 salesOver 2,611 SF8 salesAll32 salesReal difference?
Days on market median7450426250unclear
Discount from original list average7.5%7.7%6.4%5.7%6.8%unclear
Price cut before sale75%62%62%50%62%unclear
Seller paid closing costs or repairs62%50%38%75%56%unclear
Has a view12%25%0%50%22%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 · October 30, 2025 – October 29, 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.

2026-10-30T07:45:55.175223 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 9 3 14 6 32 sales Sales per group Before 2019: 9 sales (28%) 2019: 3 sales (9%) 2020–2021: 14 sales (44%) After 2021: 6 sales (19%)
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

2026-10-30T07:45:55.203277 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2019 9 sales 2019 3 sales 2020– 2021 14 sales After 2021 6 sales $0K $200K $400K $420K $382K $428K $395K Net sale price, average

The average is $395K for homes built after 2021 and $420K for homes built before 2019. It does not move in a straight line; homes built 2020–2021 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-30T07:45:55.230194 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2019 9 sales 2019 3 sales 2020– 2021 14 sales After 2021 6 sales $0 $100 $200 $197 $167 $200 $196 Net price per SF, average

The average is $196 per SF for homes built after 2021 and $197 per SF for homes built before 2019. It does not move in a straight line; homes built 2020–2021 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-30T07:45:55.254481 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2019 9 sales 2019 3 sales 2020– 2021 14 sales After 2021 6 sales 0 1,000 2,000 2,217 2,299 2,141 2,026 Living area (SF), average

The average is 2,026 SF for homes built after 2021 and 2,217 SF for homes built before 2019. It does not move in a straight line; homes built 2019 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-30T07:45:55.278944 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2019 9 sales 2019 3 sales 2020– 2021 14 sales After 2021 6 sales 0 20 40 60 43 24 64 42 Days on market, median

The median is 42 days for homes built after 2021 and 43 days for homes built before 2019. It does not move in a straight line; homes built 2020–2021 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-30T07:45:55.320745 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2019 9 sales 2019 3 sales 2020– 2021 14 sales After 2021 6 sales 0.0% 5.0% 10.0% 6.2% 4.9% 8.6% 4.5% Discount from original list, average

The average is 4.5% for homes built after 2021 and 6.2% for homes built before 2019. It does not move in a straight line; homes built 2020–2021 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

2026-10-30T07:45:55.359300 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% 44 67 22 67 67 0 79 50 29 50 50 17 Before 2019 2019 2020–2021 After 2021

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

  • 50% of homes built after 2021 had a price cut before sale, against 44% of homes built before 2019. Defined in 8.1.7.
  • 50% of homes built after 2021 had the seller pay closing costs or repairs, against 67% of homes built before 2019. Defined in 8.1.8.
  • 17% of homes built after 2021 have a view, against 22% of homes built before 2019. 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 20199 sales20193 sales2020–202114 salesAfter 20216 salesAll32 sales
Net sale price average$420,464$382,417$427,701$394,667$415,226
Net price per SF average$197$167$200$196$196
Living area average2,2172,2992,1412,0262,156
Year built median20172019202020222020

5.10 The numbers: selling

Before 20199 sales20193 sales2020–202114 salesAfter 20216 salesAll32 sales
Days on market median4324644250
Discount from original list average6.2%4.9%8.6%4.5%6.8%
Price cut before sale44%67%79%50%62%
Seller paid closing costs or repairs67%67%50%50%56%
Has a view22%0%29%17%22%

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 · October 30, 2025 – October 29, 2026

Sales where the MLS lists a view (greenbelt or park, trees, golf course, hill country, water and similar) against those listing none or only the neighborhood.

2026-10-30T07:45:55.380923 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 7 25 32 sales Sales per group View: 7 sales (22%) No view: 25 sales (78%)
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$392Kunclear
Net price per SF$198 per SF$195 per SFunclear
Living area2,516 SF2,055 SFunclear
Year built20202020unclear
Days on market119 days43 daysunclear
Discount from original list7.5%6.6%unclear
Price cut before sale71%60%unclear
Seller paid closing costs or repairs57%56%unclear

6.3 Net sale price: no clear difference

2026-10-30T07:45:55.397717 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 7 sales No view 25 sales $0K $200K $400K $497K $392K Net sale price, average

The average is $497K for homes with a view and $392K for homes without a view. Defined in 8.1.1.

– No clear difference · could be chance

6.4 Net price per SF: no clear difference

2026-10-30T07:45:55.419508 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 7 sales No view 25 sales $0 $50 $100 $150 $200 $198 $195 Net price per SF, average

The average is $198 per SF for homes with a view and $195 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

2026-10-30T07:45:55.446566 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 7 sales No view 25 sales 0 1,000 2,000 3,000 2,516 2,055 Living area (SF), average

The average is 2,516 SF for homes with a view and 2,055 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-30T07:45:55.560529 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 7 sales No view 25 sales 2018 2019 2020 2021 2020 2020 Year built: median (dot) and middle half (bar)

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

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-30T07:45:55.579543 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 7 sales No view 25 sales 0 50 100 119 43 Days on market, median

The median is 119 days for homes with a view and 43 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

2026-10-30T07:45:55.598245 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 7 sales No view 25 sales 0.0% 2.0% 4.0% 6.0% 8.0% 7.5% 6.6% Discount from original list, average

The average is 7.5% for homes with a view and 6.6% 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

2026-10-30T07:45:55.618363 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 71 57 60 56 View No view

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

  • 71% of homes with a view had a price cut before sale, against 60% of homes without a view. Defined in 8.1.7.
  • 57% of homes with a view had the seller pay closing costs or repairs, against 56% 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

View7 salesNo view25 salesAll32 salesReal difference?
Net sale price average$496,797$392,386$415,226unclear
Net price per SF average$198$195$196unclear
Living area average2,5162,0552,156unclear
Year built median202020202020unclear

6.11 The numbers: selling

View7 salesNo view25 salesAll32 salesReal difference?
Days on market median1194350unclear
Discount from original list average7.5%6.6%6.8%unclear
Price cut before sale71%60%62%unclear
Seller paid closing costs or repairs57%56%56%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 30, 2025 – October 29, 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 Sorento.

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
32 resale sales. Average $415,226; median $389,750; standard deviation $101,464; middle half (25th–75th percentile) $357,312–$455,750; lowest $280,000, highest $688,000. 18 sales had a seller payment; their median payment was $5,250.

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 $196; median $194; standard deviation $21; middle half (25th–75th percentile) $183–$211; lowest $160, 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
32 resale sales. Average 2,156; median 2,033; standard deviation 576; middle half (25th–75th percentile) 1,881–2,617; lowest 1,202, highest 3,272.

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 2020; median 2020; standard deviation 2; middle half (25th–75th percentile) 2018–2021; lowest 2014, highest 2024.

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 78; median 50; standard deviation 73; middle half (25th–75th percentile) 26–100; lowest 4, highest 287. 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 6.8%; median 5.5%; standard deviation 4.9%; middle half (25th–75th percentile) 3.5%–9.7%; lowest 0.2%, highest 20.0%. 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
20 of 32 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
18 of 32 resale sales (56.2%).

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
7 sales with a view, 25 without, 0 unclassified. Most common View entries: None 19, Neighborhood 9, Trees/Woods 3, Pasture 2, Park/Greenbelt 2, Rural 1, Hill Country 1, Pool 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 = Pflugerville, SubdivisionName contains any of “sorento”, “sorento condominiums”, “sorento condos” (case-insensitive). A record is kept when its subdivision name belongs to the Sorento family, the same rule comparable sales use (it includes Sorento Condos, proven adjacent and priced alike).
The data
Pulled October 30, 2026: 36 closed Sorento records over the prior year, in ZIP 78660. 11 subdivision spellings kept: Sorento (16); Sorento Condos (4); Sorento Ph 3 (3); SORENTO (3); Sorento Ph 6 (2); Sorento Ph 7 (2); Sorento Ph 1 (2); Sorento condos (1); Sorento Ph 4 (1); Sorento Ph 8 (1); SORENTO CONDOMINIUMS (1). Names found by the search but not part of Sorento, left out: SORENTO CONDOMINIUMS PLUS (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 17 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 30, 2025 to October 29, 2026 inclusive.
The data
32 single-family sales in the window: 32 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
32 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
4 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 $360K”.
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 $360K: $280,000–$349,250 (8 sales); $360K–$385K: $360,000–$385,000 (8 sales); $394K–$455K: $394,500–$455,000 (8 sales); Over $455K: $458,000–$688,000 (8 sales)
Quartiles by living area: Under 1,901 SF: 1,202–1,822 SF (8 sales); 1,901–1,978 SF: 1,901–1,978 SF (8 sales); 2,088–2,611 SF: 2,088–2,611 SF (8 sales); Over 2,611 SF: 2,634–3,272 SF (8 sales)
Quartiles by year built: Before 2019: 2014–2018 (9 sales); 2019: 2019–2019 (3 sales); 2020–2021: 2020–2021 (14 sales); After 2021: 2022–2024 (6 sales)
View and no view: View: MLS lists a view (7 sales); No view: None or Neighborhood (25 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 $415,226, median $389,750. Days on market: average 78, median 50: the average is pulled up by a few long listings.

8.2.7 Kruskal–Wallis test

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

8.2.8 Mann–Whitney U test

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

8.2.9 Chi-square test

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

8.2.10 Real difference (significance)

In simple terms
“Real difference” means a gap this large would be very unlikely if the groups were really alike. Because many measures are checked in each slice, the bar is set higher than usual.
Statistically
Significant when p < 0.05 ÷ m, where m is the number of measures tested in that slice (Bonferroni; Dunn, 1961). The slicing variable itself differs by design and is not tested.
The data
Quartiles by net sale price: m = 8, threshold p < 0.0063; Quartiles by living area: m = 8, threshold p < 0.0063; View and no view: m = 8, threshold p < 0.0063

8.2.11 Size of a difference

In simple terms
A difference can be real but small. The size word (small, medium, large) says how much the groups pull apart.
Statistically
ε² for Kruskal–Wallis, rank-biserial r for Mann–Whitney, Cramér's V for chi-square, with the thresholds above; below the small threshold the size is “negligible”.
The data
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 = 5.7930.1222p < 0.0063Unclearε² = 0.187large
Living areaKruskal–WallisH = 24.493< 0.0001p < 0.0063Yesε² = 0.790large
Year builtKruskal–WallisH = 1.7630.6232p < 0.0063Unclearε² = 0.057small
Days on marketKruskal–WallisH = 0.4130.9390p < 0.0063Unclearε² = 0.013small
Discount from original listKruskal–WallisH = 0.6130.8940p < 0.0063Unclearε² = 0.020small
Price cut before saleChi-squareχ² = 1.0730.7851p < 0.0063UnclearCramér’s V = 0.183small
Seller paid closing costs or repairsChi-squareχ² = 1.5230.6768p < 0.0063UnclearCramér’s V = 0.218small
Has a viewChi-squareχ² = 4.9430.1765p < 0.0063UnclearCramér’s V = 0.393medium

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 24.993< 0.0001p < 0.0063Yesε² = 0.806large
Net price per SFKruskal–WallisH = 17.5430.0005p < 0.0063Yesε² = 0.566large
Year builtKruskal–WallisH = 6.7530.0802p < 0.0063Unclearε² = 0.218large
Days on marketKruskal–WallisH = 0.6530.8858p < 0.0063Unclearε² = 0.021small
Discount from original listKruskal–WallisH = 0.4730.9257p < 0.0063Unclearε² = 0.015small
Price cut before saleChi-squareχ² = 1.0730.7851p < 0.0063UnclearCramér’s V = 0.183small
Seller paid closing costs or repairsChi-squareχ² = 2.5430.4682p < 0.0063UnclearCramér’s V = 0.282small
Has a viewChi-squareχ² = 6.4030.0937p < 0.0063UnclearCramér’s V = 0.447medium

8.3.3 Quartiles by year built

Too few sales in a group to test.

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 125.50—0.0873p < 0.0063Unclearrank-biserial r = 0.434medium
Net price per SFMann–Whitney UU = 99.00—0.6160p < 0.0063Unclearrank-biserial r = 0.131small
Living areaMann–Whitney UU = 127.00—0.0754p < 0.0063Unclearrank-biserial r = 0.451medium
Year builtMann–Whitney UU = 92.50—0.8354p < 0.0063Unclearrank-biserial r = 0.057negligible
Days on marketMann–Whitney UU = 127.00—0.0753p < 0.0063Unclearrank-biserial r = 0.451medium
Discount from original listMann–Whitney UU = 104.00—0.4744p < 0.0063Unclearrank-biserial r = 0.189small
Price cut before saleChi-squareχ² = 0.3010.5809p < 0.0063UnclearCramér’s V = 0.098negligible
Seller paid closing costs or repairsChi-squareχ² = 0.0010.9570p < 0.0063UnclearCramér’s V = 0.010negligible

8.4 Data notes

Left out of the analysis: 0 new-construction sales (basic statistics only, section 7); 4 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 32 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 30, 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.