ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Westover Hills

Austin, TX 78759
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 · 4:08 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
21
single-family resale homes
Median net sale price
$896,500
average $985,774
Median net price per SF
$421
average $421
Median days on market
25 days
average 70 days
1. SummaryResale homes · 21 sales · October 26, 2025 – October 25, 2026

This study looks at the 21 resale homes sold in Westover Hills in the 365 days to October 25, 2026. A full year is used because only 12 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 sold21 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 $750K · 5 sales$750K–$873K · 5 sales$896K–$1.17M · 6 salesOver $1.17M · 5 sales
3. Quartiles by net sale priceResale homes · 21 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.

2026-10-26T04:09:14.478730 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 6 5 21 sales Sales per group Under $750K: 5 sales (24%) $750K–$873K: 5 sales (24%) $896K–$1.17M: 6 sales (29%) Over $1.17M: 5 sales (24%)
Bottom line

3.1 Key differences

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

Under $750K$750K–$873K$896K–$1.17MOver $1.17M
Higher-priced homes Over $1.17M
  • Sell for more per square foot.
Lower-priced homes Under $750K
  • Sell for less per square foot.

3.2 At a glance

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

Under $750K$750K–$873K$896K–$1.17MOver $1.17MReal difference?
Net price per SF$360 per SF$340 per SFLowest$455 per SF$522 per SFHighest✓ large
Living area1,921 SF2,408 SF2,357 SF2,651 SFunclear
Year built1969196919691968unclear
Days on market45 days2 days26 days72 daysunclear
Discount from original list3.9%-7.2%6.9%6.1%unclear
Price cut before sale60%0%33%60%unclear
Seller paid closing costs or repairs60%20%67%60%unclear
Has a view0%0%17%0%unclear

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

3.3 Homes over $1.17M sell for about $162 per SF (45%) more than homes under $750K

2026-10-26T04:09:14.507993 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $750K 5 sales $750K– $873K 5 sales $896K– $1.17M 6 sales Over $1.17M 5 sales $0 $200 $400 $600 $360 $340 $455 $522 Net price per SF, average

The average is $522 per SF for homes over $1.17M and $360 per SF for homes under $750K. It does not move in a straight line; homes over $1.17M are highest. Defined in 8.1.2.

✓ Real difference · large

3.4 Living area: no clear difference

2026-10-26T04:09:14.531948 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $750K 5 sales $750K– $873K 5 sales $896K– $1.17M 6 sales Over $1.17M 5 sales 0 1,000 2,000 3,000 1,921 2,408 2,357 2,651 Living area (SF), average

The average is 2,651 SF for homes over $1.17M and 1,921 SF for homes under $750K. It does not move in a straight line; homes over $1.17M are highest. Defined in 8.1.3.

– No clear difference · could be chance

3.5 Year built: no clear difference

2026-10-26T04:09:14.554859 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $750K 5 sales $750K– $873K 5 sales $896K– $1.17M 6 sales Over $1.17M 5 sales 1966 1968 1970 1969 1969 1969 1968 Year built: median (dot) and middle half (bar)

The median is 1968 for homes over $1.17M and 1969 for homes under $750K. It falls step by step from the lowest range to the highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-10-26T04:09:14.577908 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $750K 5 sales $750K– $873K 5 sales $896K– $1.17M 6 sales Over $1.17M 5 sales 0 25 50 75 45 2 26 72 Days on market, median

The median is 72 days for homes over $1.17M and 45 days for homes under $750K. It does not move in a straight line; homes over $1.17M are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-26T04:09:14.599551 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $750K 5 sales $750K– $873K 5 sales $896K– $1.17M 6 sales Over $1.17M 5 sales -5.0% 0.0% 5.0% 3.9% -7.2% 6.9% 6.1% Discount from original list, average

The average is 6.1% for homes over $1.17M and 3.9% for homes under $750K. It does not move in a straight line; homes $896K–$1.17M 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

2026-10-26T04:09:14.628853 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% 60 60 0 0 20 0 33 67 17 60 60 0 Under $750K $750K–$873K $896K–$1.17M Over $1.17M

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

  • 60% of homes over $1.17M had a price cut before sale, against 60% of homes under $750K. Defined in 8.1.7.
  • 60% of homes over $1.17M had the seller pay closing costs or repairs, against 60% of homes under $750K. Defined in 8.1.8.
  • 0% of homes over $1.17M have a view, against 0% of homes under $750K. 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 $750K5 sales$750K–$873K5 sales$896K–$1.17M6 salesOver $1.17M5 salesAll21 salesReal difference?
Net sale price average$684,410$806,950$1,064,661$1,371,300$985,774by design
Net price per SF average$360$340$455$522$421✓ large
Living area average1,9212,4082,3572,6512,335unclear
Year built median19691969196919681969unclear

3.10 The numbers: selling

Under $750K5 sales$750K–$873K5 sales$896K–$1.17M6 salesOver $1.17M5 salesAll21 salesReal difference?
Days on market median452267225unclear
Discount from original list average3.9%−7.2%6.9%6.1%2.6%unclear
Price cut before sale60%0%33%60%38%unclear
Seller paid closing costs or repairs60%20%67%60%52%unclear
Has a view0%0%17%0%5%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 · 21 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.

2026-10-26T04:09:14.648930 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 6 5 21 sales Sales per group Under 2,009 SF: 5 sales (24%) 2,009–2,352 SF: 5 sales (24%) 2,361–2,598 SF: 6 sales (29%) Over 2,598 SF: 5 sales (24%)
Bottom line: no measure differs enough between the groups to rule out chance.

4.1 Key differences

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

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 2,009 SF2,009–2,352 SF2,361–2,598 SFOver 2,598 SFReal difference?
Net sale price$724K$947K$1.05M$1.21Munclear
Net price per SF$393 per SF$441 per SF$425 per SF$423 per SFunclear
Year built1969196819701970unclear
Days on market12 days13 days34 days5 daysunclear
Discount from original list0.7%5.8%6.2%-2.8%unclear
Price cut before sale40%40%50%20%unclear
Seller paid closing costs or repairs80%60%50%20%unclear
Has a view0%0%17%0%unclear

4.3 Net sale price: no clear difference

2026-10-26T04:09:14.670035 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,009 SF 5 sales 2,009– 2,352 SF 5 sales 2,361– 2,598 SF 6 sales Over 2,598 SF 5 sales $0K $500K $1.00M $724K $947K $1.05M $1.21M Net sale price, average

The average is $1.21M for homes over 2,598 SF and $724K for homes under 2,009 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

– No clear difference · could be chance

4.4 Net price per SF: no clear difference

2026-10-26T04:09:14.692706 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,009 SF 5 sales 2,009– 2,352 SF 5 sales 2,361– 2,598 SF 6 sales Over 2,598 SF 5 sales $0 $200 $400 $393 $441 $425 $423 Net price per SF, average

The average is $423 per SF for homes over 2,598 SF and $393 per SF for homes under 2,009 SF. It does not move in a straight line; homes 2,009–2,352 SF are highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-10-26T04:09:14.716439 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,009 SF 5 sales 2,009– 2,352 SF 5 sales 2,361– 2,598 SF 6 sales Over 2,598 SF 5 sales 1967 1968 1969 1970 1971 1969 1968 1970 1970 Year built: median (dot) and middle half (bar)

The median is 1970 for homes over 2,598 SF and 1969 for homes under 2,009 SF. It does not move in a straight line; homes over 2,598 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-10-26T04:09:14.738827 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,009 SF 5 sales 2,009– 2,352 SF 5 sales 2,361– 2,598 SF 6 sales Over 2,598 SF 5 sales 0 20 40 12 13 34 5 Days on market, median

The median is 5 days for homes over 2,598 SF and 12 days for homes under 2,009 SF. It does not move in a straight line; homes 2,361–2,598 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-26T04:09:14.759738 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,009 SF 5 sales 2,009– 2,352 SF 5 sales 2,361– 2,598 SF 6 sales Over 2,598 SF 5 sales 0.0% 5.0% 0.7% 5.8% 6.2% -2.8% Discount from original list, average

The average is -2.8% for homes over 2,598 SF and 0.7% for homes under 2,009 SF. It does not move in a straight line; homes 2,361–2,598 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

2026-10-26T04:09:14.784954 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% 40 80 0 40 60 0 50 50 17 20 20 0 Under 2,009 SF 2,009–2,352 SF 2,361–2,598 SF Over 2,598 SF

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

  • 20% of homes over 2,598 SF had a price cut before sale, against 40% of homes under 2,009 SF. Defined in 8.1.7.
  • 20% of homes over 2,598 SF had the seller pay closing costs or repairs, against 80% of homes under 2,009 SF. Defined in 8.1.8.
  • 0% of homes over 2,598 SF have a view, against 0% of homes under 2,009 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 2,009 SF5 sales2,009–2,352 SF5 sales2,361–2,598 SF6 salesOver 2,598 SF5 salesAll21 salesReal difference?
Net sale price average$723,710$946,850$1,051,411$1,208,000$985,774unclear
Net price per SF average$393$441$425$423$421unclear
Living area average1,8472,1562,4722,8382,335by design
Year built median19691968197019701969unclear

4.10 The numbers: selling

Under 2,009 SF5 sales2,009–2,352 SF5 sales2,361–2,598 SF6 salesOver 2,598 SF5 salesAll21 salesReal difference?
Days on market median121334525unclear
Discount from original list average0.7%5.8%6.2%−2.8%2.6%unclear
Price cut before sale40%40%50%20%38%unclear
Seller paid closing costs or repairs80%60%50%20%52%unclear
Has a view0%0%17%0%5%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 · 21 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.

2026-10-26T04:09:14.804487 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 4 8 4 21 sales Sales per group Before 1968: 5 sales (24%) 1968: 4 sales (19%) 1969–1970: 8 sales (38%) After 1970: 4 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

2026-10-26T04:09:14.824043 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1968 5 sales 1968 4 sales 1969– 1970 8 sales After 1970 4 sales $0K $500K $1.00M $1.50M $803K $1.27M $1.05M $798K Net sale price, average

The average is $798K for homes built after 1970 and $803K for homes built before 1968. It does not move in a straight line; homes built 1968 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T04:09:14.845955 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1968 5 sales 1968 4 sales 1969– 1970 8 sales After 1970 4 sales $0 $200 $400 $600 $385 $525 $421 $360 Net price per SF, average

The average is $360 per SF for homes built after 1970 and $385 per SF for homes built before 1968. It does not move in a straight line; homes built 1968 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T04:09:14.867453 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1968 5 sales 1968 4 sales 1969– 1970 8 sales After 1970 4 sales 0 1,000 2,000 2,142 2,456 2,471 2,184 Living area (SF), average

The average is 2,184 SF for homes built after 1970 and 2,142 SF for homes built before 1968. It does not move in a straight line; homes built 1969–1970 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T04:09:14.887818 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1968 5 sales 1968 4 sales 1969– 1970 8 sales After 1970 4 sales 0 50 100 150 8 38 26 150 Days on market, median

The median is 150 days for homes built after 1970 and 8 days for homes built before 1968. It does not move in a straight line; homes built after 1970 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T04:09:14.909079 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1968 5 sales 1968 4 sales 1969– 1970 8 sales After 1970 4 sales 0.0% 5.0% -3.8% 7.0% 1.7% 8.3% Discount from original list, average

The average is 8.3% for homes built after 1970 and -3.8% for homes built before 1968. It does not move in a straight line; homes built after 1970 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

2026-10-26T04:09:14.932807 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% 20 60 0 50 100 0 25 25 0 75 50 25 Before 1968 1968 1969–1970 After 1970

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

  • 75% of homes built after 1970 had a price cut before sale, against 20% of homes built before 1968. Defined in 8.1.7.
  • 50% of homes built after 1970 had the seller pay closing costs or repairs, against 60% of homes built before 1968. Defined in 8.1.8.
  • 25% of homes built after 1970 have a view, against 0% of homes built before 1968. 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 19685 sales19684 sales1969–19708 salesAfter 19704 salesAll21 sales
Net sale price average$803,210$1,269,125$1,052,308$797,562$985,774
Net price per SF average$385$525$421$360$421
Living area average2,1422,4562,4712,1842,335
Year built median19671968197019721969

5.10 The numbers: selling

Before 19685 sales19684 sales1969–19708 salesAfter 19704 salesAll21 sales
Days on market median8382615025
Discount from original list average−3.8%7.0%1.7%8.3%2.6%
Price cut before sale20%50%25%75%38%
Seller paid closing costs or repairs60%100%25%50%52%
Has a view0%0%0%25%5%

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 · 21 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. 1 sales whose MLS view entry is only “See Remarks” are left out.

2026-10-26T04:09:14.951149 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 1 19 20 sales Sales per group View: 1 sales (5%) No view: 19 sales (95%)
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

2026-10-26T04:09:14.966867 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 19 sales $0K $500K $1.00M $1.13M $979K Net sale price, average

The average is $1.13M for homes with a view and $979K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-26T04:09:14.983940 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 19 sales $0 $200 $400 $439 $421 Net price per SF, average

The average is $439 per SF for homes with a view and $421 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-26T04:09:15.001254 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 19 sales 0 1,000 2,000 3,000 2,573 2,319 Living area (SF), average

The average is 2,573 SF for homes with a view and 2,319 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-26T04:09:15.052993 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 19 sales 1969 1972 1975 1977 1969 Year built: median (dot) and middle half (bar)

The median is 1977 for homes with a view and 1969 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-10-26T04:09:15.070460 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 19 sales 0 100 200 209 13 Days on market, median

The median is 209 days for homes with a view and 13 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

2026-10-26T04:09:15.088822 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 19 sales 0.0% 5.0% 10.0% 15.0% 20.0% 19.3% 1.9% Discount from original list, average

The average is 19.3% for homes with a view and 1.9% 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

2026-10-26T04:09:15.107445 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 100 0 37 58 View No view

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

  • 100% of homes with a view had a price cut before sale, against 37% of homes without a view. Defined in 8.1.7.
  • 0% of homes with a view had the seller pay closing costs or repairs, against 58% 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

View1 salesNo view19 salesAll20 sales
Net sale price average$1,130,000$978,540$986,113
Net price per SF average$439$421$421
Living area average2,5732,3192,332
Year built median197719691969

6.11 The numbers: selling

View1 salesNo view19 salesAll20 sales
Days on market median2091319
Discount from original list average19.3%1.9%2.8%
Price cut before sale100%37%40%
Seller paid closing costs or repairs0%58%55%

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 · 1 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: 1 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 Westover Hills.
MeasureAverageMedian
Sales1
Net sale price$2,450,000$2,450,000
Net price per SF$639$639
Living area (SF)3,8373,837
Days on market122122
Discount from original list4.1%4.1%
Price cut before sale0% of sales
Seller paid closing costs or repairs0% of sales
Year built2026–2026

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
21 resale sales. Average $985,774; median $896,500; standard deviation $283,084; middle half (25th–75th percentile) $750,000–$1,165,000; lowest $615,000, highest $1,625,000. 11 sales had a seller payment; their median payment was $5,000.

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
21 resale sales. Average $421; median $421; standard deviation $87; middle half (25th–75th percentile) $342–$460; lowest $287, highest $592.

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
21 resale sales. Average 2,335; median 2,361; standard deviation 401; middle half (25th–75th percentile) 2,009–2,598; lowest 1,601, highest 3,254.

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
21 resale sales. Average 1969; median 1969; standard deviation 3; middle half (25th–75th percentile) 1968–1970; lowest 1964, highest 1977.

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
21 resale sales. Average 70; median 25; standard deviation 142; middle half (25th–75th percentile) 5–72; lowest 2, highest 644. 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
21 resale sales. Average 2.6%; median 4.0%; standard deviation 9.4%; middle half (25th–75th percentile) −6.7%–11.0%; lowest −13.9%, highest 19.3%. 6 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
8 of 21 resale sales (38.1%).

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
11 of 21 resale sales (52.4%).

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
1 sales with a view, 19 without, 1 unclassified. Most common View entries: None 18, Neighborhood 2, Trees/Woods 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 = Austin, SubdivisionName contains any of “westover hills”, “point west of westover hills s”, “point west of westover hills” (case-insensitive). A record is kept when its subdivision name belongs to the Westover Hills family, the same rule comparable sales use (it includes Point West Of Westover Hills S, proven adjacent and priced alike).
The data
Pulled October 26, 2026: 22 closed Westover Hills records over the prior year, in ZIP 78759. 9 subdivision spellings kept: Point West Of Westover Hills S (5); Westover Hills (5); Westover Hills Sec 04 (3); Westover Hills Sec 01 (3); Westover Hills Sec 03 Ph 04 (2); Westover Hills Sec 06 (1); Westover Hills Sec 03 Ph 03 (1); Westover Hills Sec 03 Ph 02 (1); Westover Hills Sec 05 (1). Names found by the search but not part of Westover Hills, left out: Point West Westover Hills (2); Westover Hills Mountain Path S (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 12 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
22 single-family sales in the window: 21 resale, 1 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
21 resale; 1 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 $750K”.
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 $750K: $615,000–$730,000 (5 sales); $750K–$873K: $750,000–$872,750 (5 sales); $896K–$1.17M: $896,500–$1,165,000 (6 sales); Over $1.17M: $1,182,000–$1,625,000 (5 sales)
Quartiles by living area: Under 2,009 SF: 1,601–1,948 SF (5 sales); 2,009–2,352 SF: 2,009–2,352 SF (5 sales); 2,361–2,598 SF: 2,361–2,598 SF (6 sales); Over 2,598 SF: 2,601–3,254 SF (5 sales)
Quartiles by year built: Before 1968: 1964–1967 (5 sales); 1968: 1968–1968 (4 sales); 1969–1970: 1969–1970 (8 sales); After 1970: 1971–1977 (4 sales)
View and no view: View: MLS lists a view (1 sales); No view: None or Neighborhood (19 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 $985,774, median $896,500. Days on market: average 70, median 25: 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
1 real differences across the four slices; sizes are listed in 8.3.

8.2.12 Rounding in the text

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

8.3 Test results

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

8.3.1 Quartiles by net sale price

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net price per SFKruskal–WallisH = 15.0330.0018p < 0.0063Yesε² = 0.752large
Living areaKruskal–WallisH = 8.9130.0305p < 0.0063Unclearε² = 0.446large
Year builtKruskal–WallisH = 0.1630.9844p < 0.0063Unclearε² = 0.008negligible
Days on marketKruskal–WallisH = 8.9430.0301p < 0.0063Unclearε² = 0.447large
Discount from original listKruskal–WallisH = 7.5030.0576p < 0.0063Unclearε² = 0.375large
Price cut before saleChi-squareχ² = 5.1730.1598p < 0.0063UnclearCramér’s V = 0.496medium
Seller paid closing costs or repairsChi-squareχ² = 2.8330.4193p < 0.0063UnclearCramér’s V = 0.367medium
Has a viewChi-squareχ² = 2.6230.4531p < 0.0063UnclearCramér’s V = 0.354medium

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 8.4830.0371p < 0.0063Unclearε² = 0.424large
Net price per SFKruskal–WallisH = 0.4630.9276p < 0.0063Unclearε² = 0.023small
Year builtKruskal–WallisH = 4.6730.1974p < 0.0063Unclearε² = 0.234large
Days on marketKruskal–WallisH = 1.3730.7118p < 0.0063Unclearε² = 0.069medium
Discount from original listKruskal–WallisH = 2.6430.4509p < 0.0063Unclearε² = 0.132medium
Price cut before saleChi-squareχ² = 1.0730.7843p < 0.0063UnclearCramér’s V = 0.226small
Seller paid closing costs or repairsChi-squareχ² = 3.7630.2885p < 0.0063UnclearCramér’s V = 0.423medium
Has a viewChi-squareχ² = 2.6230.4531p < 0.0063UnclearCramér’s V = 0.354medium

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: 1 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 21 closed MLS resale sales; the 1 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.