ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Quail Hollow

Austin, TX 78758
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 · 4:18 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
18
single-family resale homes
Median net sale price
$401,745
average $399,091
Median net price per SF
$285
average $274
Median days on market
30 days
average 38 days
1. SummaryResale homes · 18 sales · October 26, 2025 – October 25, 2026

This study looks at the 18 resale homes sold in Quail Hollow 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 sold18 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 $387K · 4 sales$387K–$400K · 5 sales$404K–$416K · 5 salesOver $416K · 4 sales
3. Quartiles by net sale priceResale homes · 18 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.

2026-10-26T04:19:09.951185 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 5 5 4 18 sales Sales per group Under $387K: 4 sales (22%) $387K–$400K: 5 sales (28%) $404K–$416K: 5 sales (28%) Over $416K: 4 sales (22%)
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

2026-10-26T04:19:09.978828 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $387K 4 sales $387K– $400K 5 sales $404K– $416K 5 sales Over $416K 4 sales $0 $100 $200 $300 $239 $262 $299 $292 Net price per SF, average

The average is $292 per SF for homes over $416K and $239 per SF for homes under $387K. It does not move in a straight line; homes $404K–$416K are highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-10-26T04:19:10.000983 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $387K 4 sales $387K– $400K 5 sales $404K– $416K 5 sales Over $416K 4 sales 0 500 1,000 1,500 1,497 1,507 1,379 1,584 Living area (SF), average

The average is 1,584 SF for homes over $416K and 1,497 SF for homes under $387K. It does not move in a straight line; homes over $416K are highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-10-26T04:19:10.025631 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $387K 4 sales $387K– $400K 5 sales $404K– $416K 5 sales Over $416K 4 sales 1978 1979 1980 1981 1982 1978 1980 1982 1982 Year built: median (dot) and middle half (bar)

The median is 1982 for homes over $416K and 1978 for homes under $387K. It rises step by step from the lowest range to the highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-10-26T04:19:10.049333 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $387K 4 sales $387K– $400K 5 sales $404K– $416K 5 sales Over $416K 4 sales 0 20 40 60 14 37 65 6 Days on market, median

The median is 6 days for homes over $416K and 14 days for homes under $387K. It does not move in a straight line; homes $404K–$416K are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-10-26T04:19:10.071993 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $387K 4 sales $387K– $400K 5 sales $404K– $416K 5 sales Over $416K 4 sales 0.0% 5.0% 10.0% -1.0% 6.4% 8.8% 6.0% Discount from original list, average

The average is 6.0% for homes over $416K and -1.0% for homes under $387K. It does not move in a straight line; homes $404K–$416K 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

2026-10-26T04:19:10.101095 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 50 0 60 60 20 60 100 0 25 25 25 Under $387K $387K–$400K $404K–$416K Over $416K

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

  • 25% of homes over $416K had a price cut before sale, against 0% of homes under $387K. Defined in 8.1.7.
  • 25% of homes over $416K had the seller pay closing costs or repairs, against 50% of homes under $387K. Defined in 8.1.8.
  • 25% of homes over $416K have a view, against 0% of homes under $387K. 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 $387K4 sales$387K–$400K5 sales$404K–$416K5 salesOver $416K4 salesAll18 sales
Net sale price average$334,025$393,796$410,830$456,100$399,091
Net price per SF average$239$262$299$292$274
Living area average1,4971,5071,3791,5841,486
Year built median19781980198219821981

3.10 The numbers: selling

Under $387K4 sales$387K–$400K5 sales$404K–$416K5 salesOver $416K4 salesAll18 sales
Days on market median143765630
Discount from original list average−1.0%6.4%8.8%6.0%5.4%
Price cut before sale0%60%60%25%39%
Seller paid closing costs or repairs50%60%100%25%61%
Has a view0%20%0%25%11%

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 · 18 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.

2026-10-26T04:19:10.121181 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 5 5 4 18 sales Sales per group Under 1,373 SF: 4 sales (22%) 1,373–1,450 SF: 5 sales (28%) 1,460–1,584 SF: 5 sales (28%) Over 1,584 SF: 4 sales (22%)
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

2026-10-26T04:19:10.141007 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,373 SF 4 sales 1,373– 1,450 SF 5 sales 1,460– 1,584 SF 5 sales Over 1,584 SF 4 sales $0K $200K $400K $401K $415K $392K $386K Net sale price, average

The average is $386K for homes over 1,584 SF and $401K for homes under 1,373 SF. It does not move in a straight line; homes 1,373–1,450 SF are highest. Defined in 8.1.1.

Not tested: too few sales.

4.4 Net price per SF: described, not tested

2026-10-26T04:19:10.162913 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,373 SF 4 sales 1,373– 1,450 SF 5 sales 1,460– 1,584 SF 5 sales Over 1,584 SF 4 sales $0 $100 $200 $300 $315 $293 $260 $225 Net price per SF, average

The average is $225 per SF for homes over 1,584 SF and $315 per SF for homes under 1,373 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-10-26T04:19:10.186152 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,373 SF 4 sales 1,373– 1,450 SF 5 sales 1,460– 1,584 SF 5 sales Over 1,584 SF 4 sales 1979 1980 1981 1982 1981 1982 1980 1980 Year built: median (dot) and middle half (bar)

The median is 1980 for homes over 1,584 SF and 1981 for homes under 1,373 SF. It does not move in a straight line; homes 1,373–1,450 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-10-26T04:19:10.208347 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,373 SF 4 sales 1,373– 1,450 SF 5 sales 1,460– 1,584 SF 5 sales Over 1,584 SF 4 sales 0 20 40 36 23 37 38 Days on market, median

The median is 38 days for homes over 1,584 SF and 36 days for homes under 1,373 SF. It does not move in a straight line; homes over 1,584 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-10-26T04:19:10.230119 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,373 SF 4 sales 1,373– 1,450 SF 5 sales 1,460– 1,584 SF 5 sales Over 1,584 SF 4 sales 0.0% 2.5% 5.0% 7.5% 7.0% 5.0% 5.1% 4.5% Discount from original list, average

The average is 4.5% for homes over 1,584 SF and 7.0% for homes under 1,373 SF. It does not move in a straight line; homes under 1,373 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

2026-10-26T04:19:10.255920 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 75 0 20 80 20 40 80 20 50 0 0 Under 1,373 SF 1,373–1,450 SF 1,460–1,584 SF Over 1,584 SF

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

  • 50% of homes over 1,584 SF had a price cut before sale, against 50% of homes under 1,373 SF. Defined in 8.1.7.
  • 0% of homes over 1,584 SF had the seller pay closing costs or repairs, against 75% of homes under 1,373 SF. Defined in 8.1.8.
  • 0% of homes over 1,584 SF have a view, against 0% of homes under 1,373 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 1,373 SF4 sales1,373–1,450 SF5 sales1,460–1,584 SF5 salesOver 1,584 SF4 salesAll18 sales
Net sale price average$401,475$414,668$391,880$386,248$399,091
Net price per SF average$315$293$260$225$274
Living area average1,2801,4151,5061,7571,486
Year built median19811982198019801981

4.10 The numbers: selling

Under 1,373 SF4 sales1,373–1,450 SF5 sales1,460–1,584 SF5 salesOver 1,584 SF4 salesAll18 sales
Days on market median3623373830
Discount from original list average7.0%5.0%5.1%4.5%5.4%
Price cut before sale50%20%40%50%39%
Seller paid closing costs or repairs75%80%80%0%61%
Has a view0%20%20%0%11%

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 · 18 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. Only 3 groups are shown: homes here share a few year built values, and no group may hold fewer than 3 sales.

2026-10-26T04:19:10.274624 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 5 10 18 sales Sales per group Before 1979: 3 sales (17%) 1979–1980: 5 sales (28%) After 1980: 10 sales (56%)
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

2026-10-26T04:19:10.292790 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1979 3 sales 1979– 1980 5 sales After 1980 10 sales $0K $200K $400K $328K $394K $423K Net sale price, average

The average is $423K for homes built after 1980 and $328K for homes built before 1979. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T04:19:10.312723 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1979 3 sales 1979– 1980 5 sales After 1980 10 sales $0 $100 $200 $300 $213 $267 $296 Net price per SF, average

The average is $296 per SF for homes built after 1980 and $213 per SF for homes built before 1979. 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

2026-10-26T04:19:10.332016 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1979 3 sales 1979– 1980 5 sales After 1980 10 sales 0 500 1,000 1,500 1,613 1,488 1,447 Living area (SF), average

The average is 1,447 SF for homes built after 1980 and 1,613 SF for homes built before 1979. It falls step by step from the lowest range to the highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T04:19:10.351668 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1979 3 sales 1979– 1980 5 sales After 1980 10 sales 0 25 50 75 23 69 10 Days on market, median

The median is 10 days for homes built after 1980 and 23 days for homes built before 1979. It does not move in a straight line; homes built 1979–1980 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T04:19:10.372049 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1979 3 sales 1979– 1980 5 sales After 1980 10 sales 0.0% 5.0% 10.0% -2.1% 9.8% 5.4% Discount from original list, average

The average is 5.4% for homes built after 1980 and -2.1% for homes built before 1979. It does not move in a straight line; homes built 1979–1980 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

2026-10-26T04:19:10.394136 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 67 33 60 60 0 40 60 10 Before 1979 1979–1980 After 1980

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

  • 40% of homes built after 1980 had a price cut before sale, against 0% of homes built before 1979. Defined in 8.1.7.
  • 60% of homes built after 1980 had the seller pay closing costs or repairs, against 67% of homes built before 1979. Defined in 8.1.8.
  • 10% of homes built after 1980 have a view, against 33% of homes built before 1979. 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 19793 sales1979–19805 salesAfter 198010 salesAll18 sales
Net sale price average$328,064$394,308$422,790$399,091
Net price per SF average$213$267$296$274
Living area average1,6131,4881,4471,486
Year built median1978197919821981

5.10 The numbers: selling

Before 19793 sales1979–19805 salesAfter 198010 salesAll18 sales
Days on market median23691030
Discount from original list average−2.1%9.8%5.4%5.4%
Price cut before sale0%60%40%39%
Seller paid closing costs or repairs67%60%60%61%
Has a view33%0%10%11%

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 · 18 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.

2026-10-26T04:19:10.410925 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 2 16 18 sales Sales per group View: 2 sales (11%) No view: 16 sales (89%)
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

2026-10-26T04:19:10.432103 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 16 sales $0K $100K $200K $300K $400K $410K $398K Net sale price, average

The average is $410K for homes with a view and $398K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-26T04:19:10.449476 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 16 sales $0 $100 $200 $300 $284 $273 Net price per SF, average

The average is $284 per SF for homes with a view and $273 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-26T04:19:10.466329 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 16 sales 0 500 1,000 1,500 1,446 1,491 Living area (SF), average

The average is 1,446 SF for homes with a view and 1,491 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-26T04:19:10.507019 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 16 sales 1979 1980 1981 1982 1980 1981 Year built: median (dot) and middle half (bar)

The median is 1980 for homes with a view and 1981 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-10-26T04:19:10.525801 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 16 sales 0 20 40 14 44 Days on market, median

The median is 14 days for homes with a view and 44 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

2026-10-26T04:19:10.543189 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 16 sales 0.0% 2.0% 4.0% 6.0% 2.2% 5.8% Discount from original list, average

The average is 2.2% for homes with a view and 5.8% 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

2026-10-26T04:19:10.562098 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 0 100 44 56 View No view

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

  • 0% of homes with a view had a price cut before sale, against 44% of homes without a view. Defined in 8.1.7.
  • 100% of homes with a view had the seller pay closing costs or repairs, against 56% of homes without a view. Defined in 8.1.8.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.

6.10 The numbers: price and size

View2 salesNo view16 salesAll18 sales
Net sale price average$410,496$397,665$399,091
Net price per SF average$284$273$274
Living area average1,4461,4911,486
Year built median198019811981

6.11 The numbers: selling

View2 salesNo view16 salesAll18 sales
Days on market median144430
Discount from original list average2.2%5.8%5.4%
Price cut before sale0%44%39%
Seller paid closing costs or repairs100%56%61%

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 Quail Hollow.

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
18 resale sales. Average $399,091; median $401,745; standard deviation $56,545; middle half (25th–75th percentile) $387,418–$415,562; lowest $215,000, highest $505,000. 11 sales had a seller payment; their median payment was $7,600.

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
18 resale sales. Average $274; median $285; standard deviation $52; middle half (25th–75th percentile) $250–$307; lowest $111, highest $345.

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
18 resale sales. Average 1,486; median 1,455; standard deviation 193; middle half (25th–75th percentile) 1,378–1,574; lowest 1,117, highest 1,930.

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
18 resale sales. Average 1981; median 1981; standard deviation 2; middle half (25th–75th percentile) 1979–1982; lowest 1978, highest 1984.

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
18 resale sales. Average 38; median 30; standard deviation 33; middle half (25th–75th percentile) 7–56; lowest 4, highest 108. 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
18 resale sales. Average 5.4%; median 5.2%; standard deviation 5.8%; middle half (25th–75th percentile) 2.0%–7.7%; lowest −7.5%, highest 17.5%. 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
7 of 18 resale sales (38.9%).

8.1.8 Seller paid closing costs or repairs

In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
11 of 18 resale sales (61.1%).

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
2 sales with a view, 16 without, 0 unclassified. Most common View entries: None 14, Neighborhood 3, Park/Greenbelt 2, Garden 1, Trees/Woods 1.

8.2 Methods

8.2.1 Data source

In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
Bridge Interactive RESO Web API (OData), ABOR dataset, every field returned. Filter: StandardStatus = Closed, PropertyType = Residential, City = Austin, SubdivisionName contains any of “quail hollow” (case-insensitive). A record is kept when its subdivision name belongs to the Quail Hollow family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 18 closed Quail Hollow records over the prior year, in ZIP 78758. 7 subdivision spellings kept: Quail Hollow Sec 01 (5); Quail Hollow Sec 06-A (3); Quail Hollow Sec 05-A (3); Quail Hollow Sec 02 (3); Quail Hollow (2); QUAIL HOLLOW SEC 5 A (1); Quail Hollow Sec 04 (1). Names found by the search but not part of Quail Hollow, left out: Quail Hollow Garden Homes Sec (5).

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
18 single-family sales in the window: 18 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
18 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 $387K”.
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 $387K: $215,000–$385,000 (4 sales); $387K–$400K: $386,591–$399,990 (5 sales); $404K–$416K: $403,500–$415,750 (5 sales); Over $416K: $425,000–$505,000 (4 sales)
Quartiles by living area: Under 1,373 SF: 1,117–1,360 SF (4 sales); 1,373–1,450 SF: 1,373–1,450 SF (5 sales); 1,460–1,584 SF: 1,460–1,584 SF (5 sales); Over 1,584 SF: 1,602–1,930 SF (4 sales)
Groups by year built: Before 1979: 1978–1978 (3 sales); 1979–1980: 1979–1980 (5 sales); After 1980: 1981–1984 (10 sales)
View and no view: View: MLS lists a view (2 sales); No view: None or Neighborhood (16 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 $399,091, median $401,745. Days on market: average 38, median 30: 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 Groups 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 18 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.