ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Spanish Oaks

Austin, TX 78738 · 78751
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 · 4:37 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
12
single-family resale homes
Median net sale price
$3,462,322
average $3,384,762
Median net price per SF
$633
average $655
Median days on market
54 days
average 93 days
1. SummaryResale homes · 12 sales · October 26, 2025 – October 25, 2026

This study looks at the 12 resale homes sold in Spanish Oaks in the 365 days to October 25, 2026. A full year is used because only 9 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 $2.90M · 3 sales$2.90M–$3.38M · 3 sales$3.54M–$3.75M · 3 salesOver $3.75M · 3 sales
3. Quartiles by net sale priceResale homes · 12 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.

2026-10-26T04:37:48.280089 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 3 3 3 12 sales Sales per group Under $2.90M: 3 sales (25%) $2.90M–$3.38M: 3 sales (25%) $3.54M–$3.75M: 3 sales (25%) Over $3.75M: 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

2026-10-26T04:37:48.307864 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $2.90M 3 sales $2.90M– $3.38M 3 sales $3.54M– $3.75M 3 sales Over $3.75M 3 sales $0 $250 $500 $750 $565 $639 $705 $712 Net price per SF, average

The average is $712 per SF for homes over $3.75M and $565 per SF for homes under $2.90M. It rises step by step from the lowest range to the highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-10-26T04:37:48.329871 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $2.90M 3 sales $2.90M– $3.38M 3 sales $3.54M– $3.75M 3 sales Over $3.75M 3 sales 0 2,000 4,000 6,000 4,177 5,133 5,294 6,153 Living area (SF), average

The average is 6,153 SF for homes over $3.75M and 4,177 SF for homes under $2.90M. 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

2026-10-26T04:37:48.354522 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $2.90M 3 sales $2.90M– $3.38M 3 sales $3.54M– $3.75M 3 sales Over $3.75M 3 sales 2004 2008 2012 2016 2020 2005 2017 2018 2012 Year built: median (dot) and middle half (bar)

The median is 2012 for homes over $3.75M and 2005 for homes under $2.90M. It does not move in a straight line; homes $3.54M–$3.75M are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-10-26T04:37:48.377090 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $2.90M 3 sales $2.90M– $3.38M 3 sales $3.54M– $3.75M 3 sales Over $3.75M 3 sales 0 100 200 14 49 207 32 Days on market, median

The median is 32 days for homes over $3.75M and 14 days for homes under $2.90M. It does not move in a straight line; homes $3.54M–$3.75M are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-10-26T04:37:48.398435 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $2.90M 3 sales $2.90M– $3.38M 3 sales $3.54M– $3.75M 3 sales Over $3.75M 3 sales 0.0% 5.0% 10.0% 6.1% 5.0% 9.9% 8.1% Discount from original list, average

The average is 8.1% for homes over $3.75M and 6.1% for homes under $2.90M. It does not move in a straight line; homes $3.54M–$3.75M 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

2026-10-26T04:37:48.427694 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% 33 33 100 0 67 67 67 67 100 0 0 100 Under $2.90M $2.90M–$3.38M $3.54M–$3.75M Over $3.75M

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

  • 0% of homes over $3.75M had a price cut before sale, against 33% of homes under $2.90M. Defined in 8.1.7.
  • 0% of homes over $3.75M had the seller pay closing costs or repairs, against 33% of homes under $2.90M. Defined in 8.1.8.
  • 100% of homes over $3.75M have a view, against 100% of homes under $2.90M. 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 $2.90M3 sales$2.90M–$3.38M3 sales$3.54M–$3.75M3 salesOver $3.75M3 salesAll12 sales
Net sale price average$2,301,667$3,210,715$3,643,333$4,383,333$3,384,762
Net price per SF average$565$639$705$712$655
Living area average4,1775,1335,2946,1535,189
Year built median20052017201820122010

3.10 The numbers: selling

Under $2.90M3 sales$2.90M–$3.38M3 sales$3.54M–$3.75M3 salesOver $3.75M3 salesAll12 sales
Days on market median14492073254
Discount from original list average6.1%5.0%9.9%8.1%7.3%
Price cut before sale33%0%67%0%25%
Seller paid closing costs or repairs33%67%67%0%42%
Has a view100%67%100%100%92%

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 · October 26, 2025 – October 25, 2026

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

2026-10-26T04:37:48.447282 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 3 3 3 12 sales Sales per group Under 4,495 SF: 3 sales (25%) 4,495–4,994 SF: 3 sales (25%) 5,445–6,158 SF: 3 sales (25%) Over 6,158 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

2026-10-26T04:37:48.467122 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 4,495 SF 3 sales 4,495– 4,994 SF 3 sales 5,445– 6,158 SF 3 sales Over 6,158 SF 3 sales $0K $2.00M $4.00M $2.85M $2.97M $3.74M $3.98M Net sale price, average

The average is $3.98M for homes over 6,158 SF and $2.85M for homes under 4,495 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

2026-10-26T04:37:48.489509 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 4,495 SF 3 sales 4,495– 4,994 SF 3 sales 5,445– 6,158 SF 3 sales Over 6,158 SF 3 sales $0 $250 $500 $750 $746 $614 $632 $630 Net price per SF, average

The average is $630 per SF for homes over 6,158 SF and $746 per SF for homes under 4,495 SF. It does not move in a straight line; homes under 4,495 SF are highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-10-26T04:37:48.512770 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 4,495 SF 3 sales 4,495– 4,994 SF 3 sales 5,445– 6,158 SF 3 sales Over 6,158 SF 3 sales 2008 2012 2016 2020 2018 2017 2006 2008 Year built: median (dot) and middle half (bar)

The median is 2008 for homes over 6,158 SF and 2018 for homes under 4,495 SF. It does not move in a straight line; homes under 4,495 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-10-26T04:37:48.535343 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 4,495 SF 3 sales 4,495– 4,994 SF 3 sales 5,445– 6,158 SF 3 sales Over 6,158 SF 3 sales 0 25 50 75 49 46 59 68 Days on market, median

The median is 68 days for homes over 6,158 SF and 49 days for homes under 4,495 SF. It does not move in a straight line; homes over 6,158 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-10-26T04:37:48.557251 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 4,495 SF 3 sales 4,495– 4,994 SF 3 sales 5,445– 6,158 SF 3 sales Over 6,158 SF 3 sales 0.0% 5.0% 10.0% 5.4% 8.1% 11.4% 4.4% Discount from original list, average

The average is 4.4% for homes over 6,158 SF and 5.4% for homes under 4,495 SF. It does not move in a straight line; homes 5,445–6,158 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

2026-10-26T04:37:48.582671 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% 33 33 100 33 67 100 33 33 100 0 33 67 Under 4,495 SF 4,495–4,994 SF 5,445–6,158 SF Over 6,158 SF

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

  • 0% of homes over 6,158 SF had a price cut before sale, against 33% of homes under 4,495 SF. Defined in 8.1.7.
  • 33% of homes over 6,158 SF had the seller pay closing costs or repairs, against 33% of homes under 4,495 SF. Defined in 8.1.8.
  • 67% of homes over 6,158 SF have a view, against 100% of homes under 4,495 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 4,495 SF3 sales4,495–4,994 SF3 sales5,445–6,158 SF3 salesOver 6,158 SF3 salesAll12 sales
Net sale price average$2,850,000$2,972,500$3,738,333$3,978,215$3,384,762
Net price per SF average$746$614$632$630$655
Living area average3,7384,8205,8796,3205,189
Year built median20182017200620082010

4.10 The numbers: selling

Under 4,495 SF3 sales4,495–4,994 SF3 sales5,445–6,158 SF3 salesOver 6,158 SF3 salesAll12 sales
Days on market median4946596854
Discount from original list average5.4%8.1%11.4%4.4%7.3%
Price cut before sale33%33%33%0%25%
Seller paid closing costs or repairs33%67%33%33%42%
Has a view100%100%100%67%92%

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 · 12 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.

2026-10-26T04:37:48.601943 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 3 3 3 12 sales Sales per group Before 2006: 3 sales (25%) 2006–2008: 3 sales (25%) 2012–2017: 3 sales (25%) After 2017: 3 sales (25%)
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

2026-10-26T04:37:48.622160 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2006 3 sales 2006– 2008 3 sales 2012– 2017 3 sales After 2017 3 sales $0K $2.00M $4.00M $2.47M $3.71M $3.85M $3.51M Net sale price, average

The average is $3.51M for homes built after 2017 and $2.47M for homes built before 2006. It does not move in a straight line; homes built 2012–2017 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T04:37:48.644602 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2006 3 sales 2006– 2008 3 sales 2012– 2017 3 sales After 2017 3 sales $0 $250 $500 $750 $573 $615 $658 $776 Net price per SF, average

The average is $776 per SF for homes built after 2017 and $573 per SF for homes built before 2006. It rises step by step from the lowest range to the highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T04:37:48.665315 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2006 3 sales 2006– 2008 3 sales 2012– 2017 3 sales After 2017 3 sales 0 2,000 4,000 6,000 4,417 6,002 5,799 4,539 Living area (SF), average

The average is 4,539 SF for homes built after 2017 and 4,417 SF for homes built before 2006. It does not move in a straight line; homes built 2006–2008 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T04:37:48.685886 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2006 3 sales 2006– 2008 3 sales 2012– 2017 3 sales After 2017 3 sales 0 100 200 14 59 46 207 Days on market, median

The median is 207 days for homes built after 2017 and 14 days for homes built before 2006. It does not move in a straight line; homes built after 2017 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T04:37:48.707277 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2006 3 sales 2006– 2008 3 sales 2012– 2017 3 sales After 2017 3 sales 0.0% 5.0% 10.0% 4.2% 8.9% 6.5% 9.6% Discount from original list, average

The average is 9.6% for homes built after 2017 and 4.2% for homes built before 2006. It does not move in a straight line; homes built after 2017 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

2026-10-26T04:37:48.731369 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% 0 33 67 33 33 100 0 33 100 67 67 100 Before 2006 2006–2008 2012–2017 After 2017

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

  • 67% of homes built after 2017 had a price cut before sale, against 0% of homes built before 2006. Defined in 8.1.7.
  • 67% of homes built after 2017 had the seller pay closing costs or repairs, against 33% of homes built before 2006. Defined in 8.1.8.
  • 100% of homes built after 2017 have a view, against 67% of homes built before 2006. 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 20063 sales2006–20083 sales2012–20173 salesAfter 20173 salesAll12 sales
Net sale price average$2,474,881$3,705,000$3,849,167$3,510,000$3,384,762
Net price per SF average$573$615$658$776$655
Living area average4,4176,0025,7994,5395,189
Year built median20052006201620202010

5.10 The numbers: selling

Before 20063 sales2006–20083 sales2012–20173 salesAfter 20173 salesAll12 sales
Days on market median14594620754
Discount from original list average4.2%8.9%6.5%9.6%7.3%
Price cut before sale0%33%0%67%25%
Seller paid closing costs or repairs33%33%33%67%42%
Has a view67%100%100%100%92%

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 · 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.

2026-10-26T04:37:48.749181 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 11 1 12 sales Sales per group View: 11 sales (92%) No view: 1 sales (8%)
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

2026-10-26T04:37:48.765342 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 11 sales No view 1 sales $0K $1.00M $2.00M $3.00M $4.00M $3.38M $3.38M Net sale price, average

The average is $3.38M for homes with a view and $3.38M for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-26T04:37:48.783253 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 11 sales No view 1 sales $0 $200 $400 $600 $665 $549 Net price per SF, average

The average is $665 per SF for homes with a view and $549 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-26T04:37:48.801136 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 11 sales No view 1 sales 0 2,000 4,000 6,000 5,101 6,165 Living area (SF), average

The average is 5,101 SF for homes with a view and 6,165 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-26T04:37:48.842366 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 11 sales No view 1 sales 2005 2008 2011 2014 2017 2012 2005 Year built: median (dot) and middle half (bar)

The median is 2012 for homes with a view and 2005 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-10-26T04:37:48.860852 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 11 sales No view 1 sales 0 20 40 60 80 49 81 Days on market, median

The median is 49 days for homes with a view and 81 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

2026-10-26T04:37:48.879769 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 11 sales No view 1 sales 0.0% 2.0% 4.0% 6.0% 8.0% 7.4% 6.0% Discount from original list, average

The average is 7.4% for homes with a view and 6.0% 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

2026-10-26T04:37:48.898204 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 27 36 0 100 View No view

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

  • 27% of homes with a view had a price cut before sale, against 0% of homes without a view. Defined in 8.1.7.
  • 36% of homes with a view had the seller pay closing costs or repairs, against 100% 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

View11 salesNo view1 salesAll12 sales
Net sale price average$3,384,773$3,384,644$3,384,762
Net price per SF average$665$549$655
Living area average5,1016,1655,189
Year built median201220052010

6.11 The numbers: selling

View11 salesNo view1 salesAll12 sales
Days on market median498154
Discount from original list average7.4%6.0%7.3%
Price cut before sale27%0%25%
Seller paid closing costs or repairs36%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 8.3.4.

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 Spanish Oaks.
MeasureAverageMedian
Sales1
Net sale price$3,750,000$3,750,000
Net price per SF$701$701
Living area (SF)5,3485,348
Days on market3232
Discount from original list6.0%6.0%
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
12 resale sales. Average $3,384,762; median $3,462,322; standard deviation $862,285; middle half (25th–75th percentile) $2,889,375–$3,775,000; lowest $1,660,000, highest $4,800,000. 5 sales had a seller payment; their median payment was $10,000.

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
12 resale sales. Average $655; median $633; standard deviation $106; middle half (25th–75th percentile) $568–$751; lowest $526, highest $812.

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 5,189; median 5,220; standard deviation 1,147; middle half (25th–75th percentile) 4,461–6,160; lowest 2,592, highest 6,529.

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 2012; median 2010; standard deviation 7; middle half (25th–75th percentile) 2006–2017; lowest 2004, highest 2025.

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 93; median 54; standard deviation 104; middle half (25th–75th percentile) 28–107; lowest 7, highest 356. 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 7.3%; median 5.5%; standard deviation 4.3%; middle half (25th–75th percentile) 4.6%–10.7%; lowest 1.8%, highest 14.4%. 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
3 of 12 resale sales (25.0%).

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
5 of 12 resale sales (41.7%).

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
11 sales with a view, 1 without, 0 unclassified. Most common View entries: Hill Country 9, Trees/Woods 4, Golf Course 3, Panoramic 3, Park/Greenbelt 1, Creek/Stream 1, Neighborhood 1, None 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 “spanish oaks” (case-insensitive). A record is kept when its subdivision name belongs to the Spanish Oaks family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 14 closed Spanish Oaks records over the prior year, in ZIP 78738, 78751. 3 subdivision spellings kept: Spanish Oaks (12); Spanish Oaks Condo Amd (1); Spanish Oaks Sec Iiic (1). Names found by the search but not part of Spanish Oaks, left out: Villas At Spanish Oaks The (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 9 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
13 single-family sales in the window: 12 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
12 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
1 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 $2.90M”.
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 $2.90M: $1,660,000–$2,865,000 (3 sales); $2.90M–$3.38M: $2,897,500–$3,384,644 (3 sales); $3.54M–$3.75M: $3,540,000–$3,750,000 (3 sales); Over $3.75M: $3,850,000–$4,800,000 (3 sales)
Quartiles by living area: Under 4,495 SF: 2,592–4,359 SF (3 sales); 4,495–4,994 SF: 4,495–4,994 SF (3 sales); 5,445–6,158 SF: 5,445–6,158 SF (3 sales); Over 6,158 SF: 6,165–6,529 SF (3 sales)
Quartiles by year built: Before 2006: 2004–2005 (3 sales); 2006–2008: 2006–2008 (3 sales); 2012–2017: 2012–2017 (3 sales); After 2017: 2018–2025 (3 sales)
View and no view: View: MLS lists a view (11 sales); No view: None or Neighborhood (1 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 $3,384,762, median $3,462,322. Days on market: average 93, median 54: 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

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 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); 1 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 12 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.