ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Smiths J W Western Oaks

Austin, TX 78749
Resale homes · closed Nov 5 – Nov 4, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
November 5, 2026 · 3:29 PM CST
MARKET STUDY All analysis covers resale homes only. New construction appears once, in its own section. Click any dot on the map for that sale.
Resale sales, 365 days
12
single-family resale homes
Median net sale price
$731,200
average $763,997
Median net price per SF
$321
average $337
Median days on market
44 days
average 71 days
1. SummaryResale homes · 12 sales · November 5, 2025 – November 4, 2026

This study looks at the 12 resale homes sold in Smiths J W Western Oaks in the 365 days to November 4, 2026. A full year is used because only 5 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 sold12 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 $630K · 3 sales$630K–$725K · 3 sales$737K–$776K · 3 salesOver $776K · 3 sales
3. Quartiles by net sale priceResale homes · 12 sales · November 5, 2025 – November 4, 2026

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

2026-11-05T15:29:43.388239 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 3 3 3 12 sales Sales per group Under $630K: 3 sales (25%) $630K–$725K: 3 sales (25%) $737K–$776K: 3 sales (25%) Over $776K: 3 sales (25%)
Bottom line: too few sales to test.

3.1 Key differences

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

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: described, not tested

2026-11-05T15:29:43.416173 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $630K 3 sales $630K– $725K 3 sales $737K– $776K 3 sales Over $776K 3 sales $0 $200 $400 $307 $329 $328 $385 Net price per SF, average

The average is $385 per SF for homes over $776K and $307 per SF for homes under $630K. It does not move in a straight line; homes over $776K are highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-11-05T15:29:43.438402 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $630K 3 sales $630K– $725K 3 sales $737K– $776K 3 sales Over $776K 3 sales 0 1,000 2,000 3,000 1,991 2,088 2,311 2,665 Living area (SF), average

The average is 2,665 SF for homes over $776K and 1,991 SF for homes under $630K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-11-05T15:29:43.463365 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $630K 3 sales $630K– $725K 3 sales $737K– $776K 3 sales Over $776K 3 sales 1977 1978 1979 1980 1981 1977 1979 1979 1978 Year built: median (dot) and middle half (bar)

The median is 1978 for homes over $776K and 1977 for homes under $630K. It does not move in a straight line; homes $630K–$725K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-11-05T15:29:43.486842 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $630K 3 sales $630K– $725K 3 sales $737K– $776K 3 sales Over $776K 3 sales 0 25 50 75 76 57 19 14 Days on market, median

The median is 14 days for homes over $776K and 76 days for homes under $630K. It falls step by step from the lowest range to the highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-11-05T15:29:43.508824 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $630K 3 sales $630K– $725K 3 sales $737K– $776K 3 sales Over $776K 3 sales 0.0% 5.0% 10.0% 8.7% 3.1% 0.8% 3.1% Discount from original list, average

The average is 3.1% for homes over $776K and 8.7% for homes under $630K. It does not move in a straight line; homes under $630K are highest. Defined in 8.1.6.

Not tested: too few sales.

3.8 How often: price cut before sale, seller paid closing costs or repairs, has a view

2026-11-05T15:29:43.538184 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% 67 100 0 67 33 0 0 100 67 33 33 100 Under $630K $630K–$725K $737K–$776K Over $776K

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

  • 33% of homes over $776K had a price cut before sale, against 67% of homes under $630K. Defined in 8.1.7.
  • 33% of homes over $776K had the seller pay closing costs or repairs, against 100% of homes under $630K. Defined in 8.1.8.
  • 100% of homes over $776K have a view, against 0% of homes under $630K. 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.

3.9 The numbers: price and size

Under $630K3 sales$630K–$725K3 sales$737K–$776K3 salesOver $776K3 salesAll12 sales
Net sale price average$608,833$686,083$755,467$1,005,605$763,997
Net price per SF average$307$329$328$385$337
Living area average1,9912,0882,3112,6652,264
Year built median19771979197919781978

3.10 The numbers: selling

Under $630K3 sales$630K–$725K3 sales$737K–$776K3 salesOver $776K3 salesAll12 sales
Days on market median7657191444
Discount from original list average8.7%3.1%0.8%3.1%3.9%
Price cut before sale67%67%0%33%42%
Seller paid closing costs or repairs100%33%100%33%67%
Has a view0%0%67%100%42%

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 · 12 sales · November 5, 2025 – November 4, 2026

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

2026-11-05T15:29:43.558157 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 3 3 3 12 sales Sales per group Under 1,987 SF: 3 sales (25%) 1,987–2,190 SF: 3 sales (25%) 2,207–2,291 SF: 3 sales (25%) Over 2,291 SF: 3 sales (25%)
Bottom line: too few sales to test.

4.1 Key differences

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

4.3 Net sale price: described, not tested

2026-11-05T15:29:43.578892 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,987 SF 3 sales 1,987– 2,190 SF 3 sales 2,207– 2,291 SF 3 sales Over 2,291 SF 3 sales $0K $500K $1.00M $617K $695K $806K $938K Net sale price, average

The average is $938K for homes over 2,291 SF and $617K for homes under 1,987 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

Not tested: too few sales.

4.4 Net price per SF: described, not tested

2026-11-05T15:29:43.601982 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,987 SF 3 sales 1,987– 2,190 SF 3 sales 2,207– 2,291 SF 3 sales Over 2,291 SF 3 sales $0 $200 $400 $320 $329 $358 $342 Net price per SF, average

The average is $342 per SF for homes over 2,291 SF and $320 per SF for homes under 1,987 SF. It does not move in a straight line; homes 2,207–2,291 SF are highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-11-05T15:29:43.624719 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,987 SF 3 sales 1,987– 2,190 SF 3 sales 2,207– 2,291 SF 3 sales Over 2,291 SF 3 sales 1978 1980 1982 1983 1977 1979 1979 Year built: median (dot) and middle half (bar)

The median is 1979 for homes over 2,291 SF and 1983 for homes under 1,987 SF. It does not move in a straight line; homes under 1,987 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-11-05T15:29:43.647681 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,987 SF 3 sales 1,987– 2,190 SF 3 sales 2,207– 2,291 SF 3 sales Over 2,291 SF 3 sales 0 25 50 75 76 57 4 14 Days on market, median

The median is 14 days for homes over 2,291 SF and 76 days for homes under 1,987 SF. It does not move in a straight line; homes under 1,987 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-11-05T15:29:43.668913 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,987 SF 3 sales 1,987– 2,190 SF 3 sales 2,207– 2,291 SF 3 sales Over 2,291 SF 3 sales 0.0% 5.0% 10.0% 11.7% 3.8% -3.0% 3.0% Discount from original list, average

The average is 3.0% for homes over 2,291 SF and 11.7% for homes under 1,987 SF. It does not move in a straight line; homes under 1,987 SF are highest. Defined in 8.1.6.

Not tested: too few sales.

4.8 How often: price cut before sale, seller paid closing costs or repairs, has a view

2026-11-05T15:29:43.694238 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% 100 67 0 33 100 0 33 67 67 0 33 100 Under 1,987 SF 1,987–2,190 SF 2,207–2,291 SF Over 2,291 SF

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

  • 0% of homes over 2,291 SF had a price cut before sale, against 100% of homes under 1,987 SF. Defined in 8.1.7.
  • 33% of homes over 2,291 SF had the seller pay closing costs or repairs, against 67% of homes under 1,987 SF. Defined in 8.1.8.
  • 100% of homes over 2,291 SF have a view, against 0% of homes under 1,987 SF. 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.

4.9 The numbers: price and size

Under 1,987 SF3 sales1,987–2,190 SF3 sales2,207–2,291 SF3 salesOver 2,291 SF3 salesAll12 sales
Net sale price average$616,667$695,250$806,405$937,667$763,997
Net price per SF average$320$329$358$342$337
Living area average1,9312,1142,2572,7522,264
Year built median19831977197919791978

4.10 The numbers: selling

Under 1,987 SF3 sales1,987–2,190 SF3 sales2,207–2,291 SF3 salesOver 2,291 SF3 salesAll12 sales
Days on market median765741444
Discount from original list average11.7%3.8%−3.0%3.0%3.9%
Price cut before sale100%33%33%0%42%
Seller paid closing costs or repairs67%100%67%33%67%
Has a view0%0%67%100%42%

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. Groups by year builtResale homes · 12 sales · November 5, 2025 – November 4, 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. Only 2 groups are shown: homes here share a few year built values, and no group may hold fewer than 3 sales.

2026-11-05T15:29:43.712147 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 6 12 sales Sales per group Before 1979: 6 sales (50%) After 1978: 6 sales (50%)
Bottom line: no measure differs enough between the groups to rule out chance.

5.1 Key differences

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

5.2 At a glance

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

Before 1979After 1978Real difference?
Net sale price$763K$765Kunclear
Net price per SF$338 per SF$336 per SFunclear
Living area2,270 SF2,257 SFunclear
Days on market64 days24 daysunclear
Discount from original list4.6%3.2%unclear
Price cut before sale50%33%unclear
Seller paid closing costs or repairs83%50%unclear
Has a view33%50%unclear

5.3 Net sale price: no clear difference

2026-11-05T15:29:43.728857 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1979 6 sales After 1978 6 sales $0K $200K $400K $600K $800K $763K $765K Net sale price, average

The average is $765K for homes built after 1978 and $763K for homes built before 1979. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-11-05T15:29:43.747754 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1979 6 sales After 1978 6 sales $0 $100 $200 $300 $400 $338 $336 Net price per SF, average

The average is $336 per SF for homes built after 1978 and $338 per SF for homes built before 1979. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-11-05T15:29:43.766685 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1979 6 sales After 1978 6 sales 0 1,000 2,000 2,270 2,257 Living area (SF), average

The average is 2,257 SF for homes built after 1978 and 2,270 SF for homes built before 1979. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-11-05T15:29:43.783403 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1979 6 sales After 1978 6 sales 0 20 40 60 64 24 Days on market, median

The median is 24 days for homes built after 1978 and 64 days for homes built before 1979. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-11-05T15:29:43.801340 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1979 6 sales After 1978 6 sales 0.0% 2.0% 4.0% 4.6% 3.2% Discount from original list, average

The average is 3.2% for homes built after 1978 and 4.6% for homes built before 1979. Defined in 8.1.6.

– No clear difference · could be chance

5.8 How often: price cut before sale, seller paid closing costs or repairs, has a view

2026-11-05T15:29:43.822262 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 83 33 33 50 50 Before 1979 After 1978

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

  • 33% of homes built after 1978 had a price cut before sale, against 50% of homes built before 1979. Defined in 8.1.7.
  • 50% of homes built after 1978 had the seller pay closing costs or repairs, against 83% of homes built before 1979. Defined in 8.1.8.
  • 50% of homes built after 1978 have a view, against 33% of homes built before 1979. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance

5.9 The numbers: price and size

Before 19796 salesAfter 19786 salesAll12 salesReal difference?
Net sale price average$763,261$764,733$763,997unclear
Net price per SF average$338$336$337unclear
Living area average2,2702,2572,264unclear
Year built median197719791978by design

5.10 The numbers: selling

Before 19796 salesAfter 19786 salesAll12 salesReal difference?
Days on market median642444unclear
Discount from original list average4.6%3.2%3.9%unclear
Price cut before sale50%33%42%unclear
Seller paid closing costs or repairs83%50%67%unclear
Has a view33%50%42%unclear

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.3.

6. View and no viewResale homes · 12 sales · November 5, 2025 – November 4, 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.

2026-11-05T15:29:43.837753 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 7 12 sales Sales per group View: 5 sales (42%) No view: 7 sales (58%)
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$901K$666Kunclear
Net price per SF$357 per SF$323 per SFunclear
Living area2,547 SF2,061 SFunclear
Year built19791977unclear
Days on market14 days57 daysunclear
Discount from original list2.3%5.0%unclear
Price cut before sale20%57%unclear
Seller paid closing costs or repairs60%71%unclear

6.3 Net sale price: no clear difference

2026-11-05T15:29:43.855381 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 7 sales $0K $250K $500K $750K $1.00M $901K $666K Net sale price, average

The average is $901K for homes with a view and $666K for homes without a view. Defined in 8.1.1.

– No clear difference · could be chance

6.4 Net price per SF: no clear difference

2026-11-05T15:29:43.875593 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 7 sales $0 $100 $200 $300 $400 $357 $323 Net price per SF, average

The average is $357 per SF for homes with a view and $323 per SF for homes without a view. Defined in 8.1.2.

– No clear difference · could be chance

6.5 Living area: no clear difference

2026-11-05T15:29:43.893697 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 7 sales 0 1,000 2,000 3,000 2,547 2,061 Living area (SF), average

The average is 2,547 SF for homes with a view and 2,061 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-11-05T15:29:43.913872 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 7 sales 1977 1978 1979 1980 1981 1979 1977 Year built: median (dot) and middle half (bar)

The median is 1979 for homes with a view and 1977 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-11-05T15:29:43.933331 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 7 sales 0 20 40 60 14 57 Days on market, median

The median is 14 days for homes with a view and 57 days for homes without a view. Defined in 8.1.5.

– No clear difference · could be chance

6.8 Discount from original list: no clear difference

2026-11-05T15:29:43.976917 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 7 sales 0.0% 2.0% 4.0% 6.0% 2.3% 5.0% Discount from original list, average

The average is 2.3% for homes with a view and 5.0% for homes without a view. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-11-05T15:29:43.995836 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 20 60 57 71 View No view

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

  • 20% of homes with a view had a price cut before sale, against 57% of homes without a view. Defined in 8.1.7.
  • 60% of homes with a view had the seller pay closing costs or repairs, against 71% of homes without a view. Defined in 8.1.8.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance

6.10 The numbers: price and size

View5 salesNo view7 salesAll12 salesReal difference?
Net sale price average$901,443$665,821$763,997unclear
Net price per SF average$357$323$337unclear
Living area average2,5472,0612,264unclear
Year built median197919771978unclear

6.11 The numbers: selling

View5 salesNo view7 salesAll12 salesReal difference?
Days on market median145744unclear
Discount from original list average2.3%5.0%3.9%unclear
Price cut before sale20%57%42%unclear
Seller paid closing costs or repairs60%71%67%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 · November 5, 2025 – November 4, 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 Smiths J W Western Oaks.

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
12 resale sales. Average $763,997; median $731,200; standard deviation $164,970; middle half (25th–75th percentile) $626,750–$812,000; lowest $603,000, highest $1,140,000. 8 sales had a seller payment; their median payment was $3,750.

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
12 resale sales. Average $337; median $321; standard deviation $47; middle half (25th–75th percentile) $309–$354; lowest $280, highest $434.

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
12 resale sales. Average 2,264; median 2,198; standard deviation 351; middle half (25th–75th percentile) 1,987–2,336; lowest 1,824, highest 3,087.

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
12 resale sales. Average 1979; median 1978; standard deviation 2; middle half (25th–75th percentile) 1977–1979; lowest 1976, highest 1983.

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
12 resale sales. Average 71; median 44; standard deviation 102; middle half (25th–75th percentile) 13–72; lowest 3, highest 372. 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
12 resale sales. Average 3.9%; median 2.6%; standard deviation 6.6%; middle half (25th–75th percentile) 1.6%–9.2%; lowest −11.5%, highest 12.2%. 2 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
5 of 12 resale sales (41.7%).

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
8 of 12 resale sales (66.7%).

8.1.9 Has a view

In simple terms
The MLS says the home looks over something: a greenbelt or park, trees, golf course, hill country, water and similar.
Statistically
View = the View field holds any entry other than “None”, “Neighborhood” or “See Remarks”. No view = only “None” and/or “Neighborhood”. A record whose only entry is “See Remarks” cannot be classified and is left out of the view slice.
The data
5 sales with a view, 7 without, 0 unclassified. Most common View entries: Neighborhood 8, Park/Greenbelt 5, Trees/Woods 2, None 2, 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
ABOR MLS via secure APIs, read from ALEX's copy of the MLS (refreshed every 15 minutes; this pull as of 2026-11-05 21:15 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Austin, SubdivisionName contains any of “smiths j w western oaks” (case-insensitive). A record is kept when its subdivision name belongs to the Smiths J W Western Oaks family, the same rule comparable sales use.
The data
Pulled November 5, 2026: 12 closed Smiths J W Western Oaks records over the prior year, in ZIP 78749. 4 subdivision spellings kept: Smiths J W Western Oaks 1A (5); Smiths J W Western Oaks 02-A (4); Smiths J W Western Oaks 1-B (2); Smiths J W Western Oaks 02-B (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 5 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from November 5, 2025 to November 4, 2026 inclusive.
The data
12 single-family sales in the window: 12 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
12 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
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 $630K”.
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 $630K: $603,000–$617,000 (3 sales); $630K–$725K: $630,000–$725,000 (3 sales); $737K–$776K: $737,400–$776,000 (3 sales); Over $776K: $920,000–$1,140,000 (3 sales)
Quartiles by living area: Under 1,987 SF: 1,824–1,986 SF (3 sales); 1,987–2,190 SF: 1,987–2,190 SF (3 sales); 2,207–2,291 SF: 2,207–2,291 SF (3 sales); Over 2,291 SF: 2,470–3,087 SF (3 sales)
Groups by year built: Before 1979: 1976–1978 (6 sales); After 1978: 1979–1983 (6 sales)
View and no view: View: MLS lists a view (5 sales); No view: None or Neighborhood (7 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 $763,997, median $731,200. Days on market: average 71, median 44: 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
Groups by year built: m = 8, threshold p < 0.0063; View and no view: m = 8, threshold p < 0.0063

8.2.11 Size of a difference

In simple terms
A difference can be real but small. The size word (small, medium, large) says how much the groups pull apart.
Statistically
ε² for Kruskal–Wallis, rank-biserial r for Mann–Whitney, Cramér's V for chi-square, with the thresholds above; below the small threshold the size is “negligible”.
The data
0 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

Too few sales in a group to test.

8.3.2 Quartiles by living area

Too few sales in a group to test.

8.3.3 Groups by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 19.00—0.9372p < 0.0063Unclearrank-biserial r = 0.056negligible
Net price per SFMann–Whitney UU = 17.00—0.9372p < 0.0063Unclearrank-biserial r = 0.056negligible
Living areaMann–Whitney UU = 15.00—0.6991p < 0.0063Unclearrank-biserial r = 0.167small
Days on marketMann–Whitney UU = 25.00—0.3095p < 0.0063Unclearrank-biserial r = 0.389medium
Discount from original listMann–Whitney UU = 18.00—1.0000p < 0.0063Unclearrank-biserial r = 0.000negligible
Price cut before saleChi-squareχ² = 0.3410.5582p < 0.0063UnclearCramér’s V = 0.169small
Seller paid closing costs or repairsChi-squareχ² = 1.5010.2207p < 0.0063UnclearCramér’s V = 0.354medium
Has a viewChi-squareχ² = 0.3410.5582p < 0.0063UnclearCramér’s V = 0.169small

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 33.00—0.0101p < 0.0063Unclearrank-biserial r = 0.886large
Net price per SFMann–Whitney UU = 20.00—0.7551p < 0.0063Unclearrank-biserial r = 0.143small
Living areaMann–Whitney UU = 33.00—0.0101p < 0.0063Unclearrank-biserial r = 0.886large
Year builtMann–Whitney UU = 20.50—0.6761p < 0.0063Unclearrank-biserial r = 0.171small
Days on marketMann–Whitney UU = 9.00—0.2020p < 0.0063Unclearrank-biserial r = 0.486medium
Discount from original listMann–Whitney UU = 11.00—0.3434p < 0.0063Unclearrank-biserial r = 0.371medium
Price cut before saleChi-squareχ² = 1.6610.1982p < 0.0063UnclearCramér’s V = 0.371medium
Seller paid closing costs or repairsChi-squareχ² = 0.1710.6788p < 0.0063UnclearCramér’s V = 0.120small

8.4 Data notes

Left out of the analysis: 0 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 12 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 November 5, 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.