ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Ridge At Alta Vista

Austin, TX 78738
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 · 4:25 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
15
single-family resale homes
Median net sale price
$1,140,000
average $1,209,676
Median net price per SF
$266
average $258
Median days on market
36 days
average 83 days
1. SummaryResale homes · 15 sales · October 26, 2025 – October 25, 2026

This study looks at the 15 resale homes sold in Ridge At Alta Vista in the 365 days to October 25, 2026. A full year is used because only 8 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 sold15 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 $1.05M · 3 sales$1.05M–$1.14M · 5 sales$1.15M–$1.34M · 3 salesOver $1.34M · 4 sales
3. Quartiles by net sale priceResale homes · 15 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.

2026-10-26T04:25:45.555987 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 5 3 4 15 sales Sales per group Under $1.05M: 3 sales (20%) $1.05M–$1.14M: 5 sales (33%) $1.15M–$1.34M: 3 sales (20%) Over $1.34M: 4 sales (27%)
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

2026-10-26T04:25:45.585008 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $1.05M 3 sales $1.05M– $1.14M 5 sales $1.15M– $1.34M 3 sales Over $1.34M 4 sales $0 $100 $200 $300 $216 $256 $269 $285 Net price per SF, average

The average is $285 per SF for homes over $1.34M and $216 per SF for homes under $1.05M. 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

2026-10-26T04:25:45.608034 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $1.05M 3 sales $1.05M– $1.14M 5 sales $1.15M– $1.34M 3 sales Over $1.34M 4 sales 0 2,000 4,000 6,000 4,371 4,493 4,660 5,554 Living area (SF), average

The average is 5,554 SF for homes over $1.34M and 4,371 SF for homes under $1.05M. 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

2026-10-26T04:25:45.634159 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $1.05M 3 sales $1.05M– $1.14M 5 sales $1.15M– $1.34M 3 sales Over $1.34M 4 sales 2004 2005 2006 2007 2008 2006 2006 2008 2007 Year built: median (dot) and middle half (bar)

The median is 2007 for homes over $1.34M and 2006 for homes under $1.05M. It does not move in a straight line; homes $1.15M–$1.34M are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-10-26T04:25:45.658317 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $1.05M 3 sales $1.05M– $1.14M 5 sales $1.15M– $1.34M 3 sales Over $1.34M 4 sales 0 50 100 150 135 69 10 29 Days on market, median

The median is 29 days for homes over $1.34M and 135 days for homes under $1.05M. It does not move in a straight line; homes under $1.05M are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-10-26T04:25:45.680588 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $1.05M 3 sales $1.05M– $1.14M 5 sales $1.15M– $1.34M 3 sales Over $1.34M 4 sales 0.0% 10.0% 20.0% 17.9% 7.2% 2.9% 4.3% Discount from original list, average

The average is 4.3% for homes over $1.34M and 17.9% for homes under $1.05M. It does not move in a straight line; homes under $1.05M 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

2026-10-26T04:25:45.710869 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 0 67 40 40 80 33 33 100 0 0 100 Under $1.05M $1.05M–$1.14M $1.15M–$1.34M Over $1.34M

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

  • 0% of homes over $1.34M had a price cut before sale, against 100% of homes under $1.05M. Defined in 8.1.7.
  • 0% of homes over $1.34M had the seller pay closing costs or repairs, against 0% of homes under $1.05M. Defined in 8.1.8.
  • 100% of homes over $1.34M have a view, against 67% of homes under $1.05M. 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 $1.05M3 sales$1.05M–$1.14M5 sales$1.15M–$1.34M3 salesOver $1.34M4 salesAll15 sales
Net sale price average$915,000$1,086,478$1,253,917$1,551,500$1,209,676
Net price per SF average$216$256$269$285$258
Living area average4,3714,4934,6605,5544,785
Year built median20062006200820072006

3.10 The numbers: selling

Under $1.05M3 sales$1.05M–$1.14M5 sales$1.15M–$1.34M3 salesOver $1.34M4 salesAll15 sales
Days on market median13569102936
Discount from original list average17.9%7.2%2.9%4.3%7.7%
Price cut before sale100%40%33%0%40%
Seller paid closing costs or repairs0%40%33%0%20%
Has a view67%80%100%100%87%

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 · 15 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.

2026-10-26T04:25:45.732053 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 4 3 4 15 sales Sales per group Under 4,139 SF: 4 sales (27%) 4,139–4,453 SF: 4 sales (27%) 4,703–4,938 SF: 3 sales (20%) Over 4,938 SF: 4 sales (27%)
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

2026-10-26T04:25:45.752593 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 4,139 SF 4 sales 4,139– 4,453 SF 4 sales 4,703– 4,938 SF 3 sales Over 4,938 SF 4 sales $0K $500K $1.00M $1.50M $980K $1.21M $1.35M $1.33M Net sale price, average

The average is $1.33M for homes over 4,938 SF and $980K for homes under 4,139 SF. It does not move in a straight line; homes 4,703–4,938 SF are highest. Defined in 8.1.1.

Not tested: too few sales.

4.4 Net price per SF: described, not tested

2026-10-26T04:25:45.775524 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 4,139 SF 4 sales 4,139– 4,453 SF 4 sales 4,703– 4,938 SF 3 sales Over 4,938 SF 4 sales $0 $100 $200 $300 $265 $284 $281 $207 Net price per SF, average

The average is $207 per SF for homes over 4,938 SF and $265 per SF for homes under 4,139 SF. It does not move in a straight line; homes 4,139–4,453 SF are highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-10-26T04:25:45.800416 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 4,139 SF 4 sales 4,139– 4,453 SF 4 sales 4,703– 4,938 SF 3 sales Over 4,938 SF 4 sales 2004 2005 2006 2007 2008 2004 2006 2008 2006 Year built: median (dot) and middle half (bar)

The median is 2006 for homes over 4,938 SF and 2004 for homes under 4,139 SF. It does not move in a straight line; homes 4,703–4,938 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-10-26T04:25:45.824204 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 4,139 SF 4 sales 4,139– 4,453 SF 4 sales 4,703– 4,938 SF 3 sales Over 4,938 SF 4 sales 0 25 50 75 72 48 10 64 Days on market, median

The median is 64 days for homes over 4,938 SF and 72 days for homes under 4,139 SF. It does not move in a straight line; homes under 4,139 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-10-26T04:25:45.846033 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 4,139 SF 4 sales 4,139– 4,453 SF 4 sales 4,703– 4,938 SF 3 sales Over 4,938 SF 4 sales 0.0% 5.0% 10.0% 15.0% 12.6% 3.2% 1.5% 12.1% Discount from original list, average

The average is 12.1% for homes over 4,938 SF and 12.6% for homes under 4,139 SF. It does not move in a straight line; homes under 4,139 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

2026-10-26T04:25:45.872676 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 25 75 50 0 100 0 33 100 50 25 75 Under 4,139 SF 4,139–4,453 SF 4,703–4,938 SF Over 4,938 SF

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

  • 50% of homes over 4,938 SF had a price cut before sale, against 50% of homes under 4,139 SF. Defined in 8.1.7.
  • 25% of homes over 4,938 SF had the seller pay closing costs or repairs, against 25% of homes under 4,139 SF. Defined in 8.1.8.
  • 75% of homes over 4,938 SF have a view, against 75% of homes under 4,139 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 4,139 SF4 sales4,139–4,453 SF4 sales4,703–4,938 SF3 salesOver 4,938 SF4 salesAll15 sales
Net sale price average$980,000$1,210,312$1,354,500$1,330,097$1,209,676
Net price per SF average$265$284$281$207$258
Living area average3,7014,2464,8256,3784,785
Year built median20042006200820062006

4.10 The numbers: selling

Under 4,139 SF4 sales4,139–4,453 SF4 sales4,703–4,938 SF3 salesOver 4,938 SF4 salesAll15 sales
Days on market median7248106436
Discount from original list average12.6%3.2%1.5%12.1%7.7%
Price cut before sale50%50%0%50%40%
Seller paid closing costs or repairs25%0%33%25%20%
Has a view75%100%100%75%87%

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 · 15 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.

2026-10-26T04:25:45.893264 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 5 3 3 15 sales Sales per group Before 2006: 4 sales (27%) 2006: 5 sales (33%) 2007: 3 sales (20%) After 2007: 3 sales (20%)
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

2026-10-26T04:25:45.913076 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2006 4 sales 2006 5 sales 2007 3 sales After 2007 3 sales $0K $500K $1.00M $1.50M $1.11M $1.05M $1.47M $1.35M Net sale price, average

The average is $1.35M for homes built after 2007 and $1.11M for homes built before 2006. It does not move in a straight line; homes built 2007 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T04:25:45.935001 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2006 4 sales 2006 5 sales 2007 3 sales After 2007 3 sales $0 $100 $200 $300 $262 $224 $281 $286 Net price per SF, average

The average is $286 per SF for homes built after 2007 and $262 per SF for homes built before 2006. It does not move in a straight line; homes built after 2007 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T04:25:45.955785 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2006 4 sales 2006 5 sales 2007 3 sales After 2007 3 sales 0 2,000 4,000 6,000 4,260 4,930 5,286 4,742 Living area (SF), average

The average is 4,742 SF for homes built after 2007 and 4,260 SF for homes built before 2006. It does not move in a straight line; homes built 2007 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T04:25:45.978032 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2006 4 sales 2006 5 sales 2007 3 sales After 2007 3 sales 0 25 50 75 100 22 90 26 10 Days on market, median

The median is 10 days for homes built after 2007 and 22 days for homes built before 2006. It does not move in a straight line; homes built 2006 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T04:25:46.003721 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2006 4 sales 2006 5 sales 2007 3 sales After 2007 3 sales 0.0% 5.0% 10.0% 15.0% 9.7% 12.5% 2.0% 2.8% Discount from original list, average

The average is 2.8% for homes built after 2007 and 9.7% for homes built before 2006. It does not move in a straight line; homes built 2006 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

2026-10-26T04:25:46.033087 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% 25 25 75 80 20 80 33 0 100 0 33 100 Before 2006 2006 2007 After 2007

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

  • 0% of homes built after 2007 had a price cut before sale, against 25% of homes built before 2006. Defined in 8.1.7.
  • 33% of homes built after 2007 had the seller pay closing costs or repairs, against 25% of homes built before 2006. Defined in 8.1.8.
  • 100% of homes built after 2007 have a view, against 75% 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 20064 sales20065 sales20073 salesAfter 20073 salesAll15 sales
Net sale price average$1,105,250$1,050,478$1,472,750$1,351,167$1,209,676
Net price per SF average$262$224$281$286$258
Living area average4,2604,9305,2864,7424,785
Year built median20042006200720082006

5.10 The numbers: selling

Before 20064 sales20065 sales20073 salesAfter 20073 salesAll15 sales
Days on market median2290261036
Discount from original list average9.7%12.5%2.0%2.8%7.7%
Price cut before sale25%80%33%0%40%
Seller paid closing costs or repairs25%20%0%33%20%
Has a view75%80%100%100%87%

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 · 15 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.

2026-10-26T04:25:46.055006 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 13 2 15 sales Sales per group View: 13 sales (87%) No view: 2 sales (13%)
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

2026-10-26T04:25:46.073727 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 2 sales $0K $500K $1.00M $1.24M $988K Net sale price, average

The average is $1.24M for homes with a view and $988K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-26T04:25:46.093453 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 2 sales $0 $100 $200 $300 $263 $228 Net price per SF, average

The average is $263 per SF for homes with a view and $228 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-26T04:25:46.115262 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 2 sales 0 2,000 4,000 4,814 4,593 Living area (SF), average

The average is 4,814 SF for homes with a view and 4,593 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-26T04:25:46.204191 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 2 sales 2005 2006 2007 2006 2005 Year built: median (dot) and middle half (bar)

The median is 2006 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

2026-10-26T04:25:46.226016 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 2 sales 0 10 20 30 40 36 26 Days on market, median

The median is 36 days for homes with a view and 26 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

2026-10-26T04:25:46.248145 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 2 sales 0.0% 5.0% 10.0% 15.0% 6.9% 13.4% Discount from original list, average

The average is 6.9% for homes with a view and 13.4% 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

2026-10-26T04:25:46.270032 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 38 23 50 0 View No view

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

  • 38% of homes with a view had a price cut before sale, against 50% of homes without a view. Defined in 8.1.7.
  • 23% of homes with a view had the seller pay closing costs or repairs, against 0% 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

View13 salesNo view2 salesAll15 sales
Net sale price average$1,243,857$987,500$1,209,676
Net price per SF average$263$228$258
Living area average4,8144,5934,785
Year built median200620052006

6.11 The numbers: selling

View13 salesNo view2 salesAll15 sales
Days on market median362636
Discount from original list average6.9%13.4%7.7%
Price cut before sale38%50%40%
Seller paid closing costs or repairs23%0%20%

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.4.

7. New constructionBasic statistics · 0 sales · October 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: 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 Ridge At Alta Vista.

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
15 resale sales. Average $1,209,676; median $1,140,000; standard deviation $260,066; middle half (25th–75th percentile) $1,050,000–$1,388,000; lowest $825,000, highest $1,820,000. 3 sales had a seller payment; their median payment was $2,500.

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
15 resale sales. Average $258; median $266; standard deviation $46; middle half (25th–75th percentile) $251–$283; lowest $157, highest $323.

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
15 resale sales. Average 4,785; median 4,453; standard deviation 1,117; middle half (25th–75th percentile) 4,008–5,246; lowest 3,612, highest 6,947.

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
15 resale sales. Average 2006; median 2006; standard deviation 1; middle half (25th–75th percentile) 2005–2007; lowest 2004, highest 2008.

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
15 resale sales. Average 83; median 36; standard deviation 129; middle half (25th–75th percentile) 13–88; lowest 1, highest 506. 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
15 resale sales. Average 7.7%; median 4.0%; standard deviation 7.7%; middle half (25th–75th percentile) 1.6%–13.4%; lowest 0.0%, highest 23.2%. 0 sales closed above their first asking price.

8.1.7 Price cut before sale

In simple terms
The asking price was lowered at least once before the home went under contract.
Statistically
Indicator: ListPrice at close < OriginalListPrice. Reported as the share of sales (%).
The data
6 of 15 resale sales (40.0%).

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
3 of 15 resale sales (20.0%).

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
13 sales with a view, 2 without, 0 unclassified. Most common View entries: Hill Country 11, Trees/Woods 6, Park/Greenbelt 5, Panoramic 3, Neighborhood 2, Canyon 2, None 2, See Remarks 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 “ridge at alta vista” (case-insensitive). A record is kept when its subdivision name belongs to the Ridge At Alta Vista family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 15 closed Ridge At Alta Vista records over the prior year, in ZIP 78738. 2 subdivision spellings kept: Ridge At Alta Vista (14); The Ridge At Alta Vista (1). Names found by the search but not part of Ridge At Alta Vista, left out: Ridge At Alta Vista Resub (1); Ridge at Alta Vista The - Lakeway (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 8 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
15 single-family sales in the window: 15 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
15 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 $1.05M”.
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 $1.05M: $825,000–$995,000 (3 sales); $1.05M–$1.14M: $1,050,000–$1,140,000 (5 sales); $1.15M–$1.34M: $1,148,250–$1,336,000 (3 sales); Over $1.34M: $1,440,000–$1,820,000 (4 sales)
Quartiles by living area: Under 4,139 SF: 3,612–3,877 SF (4 sales); 4,139–4,453 SF: 4,139–4,453 SF (4 sales); 4,703–4,938 SF: 4,703–4,938 SF (3 sales); Over 4,938 SF: 5,554–6,947 SF (4 sales)
Quartiles by year built: Before 2006: 2004–2004 (4 sales); 2006: 2006–2006 (5 sales); 2007: 2007–2007 (3 sales); After 2007: 2008–2008 (3 sales)
View and no view: View: MLS lists a view (13 sales); No view: None or Neighborhood (2 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 $1,209,676, median $1,140,000. Days on market: average 83, median 36: 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: 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 15 closed MLS resale sales; the 0 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled October 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.