ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Brinwood

Austin, TX 78704
Resale homes · closed Nov 5 – Nov 4, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
November 5, 2026 · 2:53 PM CST
MARKET STUDY All analysis covers resale homes only. New construction appears once, in its own section. Click any dot on the map for that sale.
Resale sales, 365 days
17
single-family resale homes
Median net sale price
$700,000
average $858,308
Median net price per SF
$456
average $474
Median days on market
53 days
average 69 days
1. SummaryResale homes · 17 sales · November 5, 2025 – November 4, 2026

This study looks at the 17 resale homes sold in Brinwood in the 365 days to November 4, 2026. A full year is used because only 10 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 sold17 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 $558K · 4 sales$558K–$699K · 4 sales$700K–$1.11M · 5 salesOver $1.11M · 4 sales
3. Quartiles by net sale priceResale homes · 17 sales · November 5, 2025 – November 4, 2026

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

2026-11-05T14:53:29.436859 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 4 5 4 17 sales Sales per group Under $558K: 4 sales (24%) $558K–$699K: 4 sales (24%) $700K–$1.11M: 5 sales (29%) Over $1.11M: 4 sales (24%)
Bottom line: too few sales to test.

3.1 Key differences

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

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

3.3 Net price per SF: described, not tested

2026-11-05T14:53:29.464417 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $558K 4 sales $558K– $699K 4 sales $700K– $1.11M 5 sales Over $1.11M 4 sales $0 $200 $400 $600 $443 $427 $478 $546 Net price per SF, average

The average is $546 per SF for homes over $1.11M and $443 per SF for homes under $558K. It does not move in a straight line; homes over $1.11M are highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-11-05T14:53:29.487217 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $558K 4 sales $558K– $699K 4 sales $700K– $1.11M 5 sales Over $1.11M 4 sales 0 1,000 2,000 1,089 1,472 2,117 2,488 Living area (SF), average

The average is 2,488 SF for homes over $1.11M and 1,089 SF for homes under $558K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-11-05T14:53:29.510624 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $558K 4 sales $558K– $699K 4 sales $700K– $1.11M 5 sales Over $1.11M 4 sales 1965 1980 1995 2010 1962 1963 1962 2019 Year built: median (dot) and middle half (bar)

The median is 2019 for homes over $1.11M and 1962 for homes under $558K. It does not move in a straight line; homes over $1.11M are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-11-05T14:53:29.533494 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $558K 4 sales $558K– $699K 4 sales $700K– $1.11M 5 sales Over $1.11M 4 sales 0 25 50 75 38 62 53 68 Days on market, median

The median is 68 days for homes over $1.11M and 38 days for homes under $558K. It does not move in a straight line; homes over $1.11M are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-11-05T14:53:29.555201 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $558K 4 sales $558K– $699K 4 sales $700K– $1.11M 5 sales Over $1.11M 4 sales 0.0% 5.0% 10.0% 15.0% 7.2% 3.7% 8.1% 13.5% Discount from original list, average

The average is 13.5% for homes over $1.11M and 7.2% for homes under $558K. It does not move in a straight line; homes over $1.11M are highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-11-05T14:53:29.584775 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 0 0 25 25 25 20 60 0 75 50 50 Under $558K $558K–$699K $700K–$1.11M Over $1.11M

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

  • 75% of homes over $1.11M had a price cut before sale, against 50% of homes under $558K. Defined in 8.1.7.
  • 50% of homes over $1.11M had the seller pay closing costs or repairs, against 0% of homes under $558K. Defined in 8.1.8.
  • 50% of homes over $1.11M have a view, against 0% of homes under $558K. 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 $558K4 sales$558K–$699K4 sales$700K–$1.11M5 salesOver $1.11M4 salesAll17 sales
Net sale price average$450,706$619,125$998,221$1,330,200$858,308
Net price per SF average$443$427$478$546$474
Living area average1,0891,4722,1172,4881,811
Year built median19621963196220191963

3.10 The numbers: selling

Under $558K4 sales$558K–$699K4 sales$700K–$1.11M5 salesOver $1.11M4 salesAll17 sales
Days on market median3862536853
Discount from original list average7.2%3.7%8.1%13.5%8.1%
Price cut before sale50%25%20%75%41%
Seller paid closing costs or repairs0%25%60%50%35%
Has a view0%25%0%50%18%

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

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

2026-11-05T14:53:29.604697 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 4 5 4 17 sales Sales per group Under 1,253 SF: 4 sales (24%) 1,253–1,698 SF: 4 sales (24%) 1,832–2,259 SF: 5 sales (29%) Over 2,259 SF: 4 sales (24%)
Bottom line: too few sales to test.

4.1 Key differences

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

4.3 Net sale price: described, not tested

2026-11-05T14:53:29.625084 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,253 SF 4 sales 1,253– 1,698 SF 4 sales 1,832– 2,259 SF 5 sales Over 2,259 SF 4 sales $0K $500K $1.00M $451K $628K $1.09M $1.21M Net sale price, average

The average is $1.21M for homes over 2,259 SF and $451K for homes under 1,253 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

Not tested: too few sales.

4.4 Net price per SF: described, not tested

2026-11-05T14:53:29.647420 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,253 SF 4 sales 1,253– 1,698 SF 4 sales 1,832– 2,259 SF 5 sales Over 2,259 SF 4 sales $0 $200 $400 $600 $466 $417 $538 $458 Net price per SF, average

The average is $458 per SF for homes over 2,259 SF and $466 per SF for homes under 1,253 SF. It does not move in a straight line; homes 1,832–2,259 SF are highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-11-05T14:53:29.671014 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,253 SF 4 sales 1,253– 1,698 SF 4 sales 1,832– 2,259 SF 5 sales Over 2,259 SF 4 sales 1965 1980 1995 2010 1963 1962 2019 2017 Year built: median (dot) and middle half (bar)

The median is 2017 for homes over 2,259 SF and 1963 for homes under 1,253 SF. It does not move in a straight line; homes 1,832–2,259 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-11-05T14:53:29.694033 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,253 SF 4 sales 1,253– 1,698 SF 4 sales 1,832– 2,259 SF 5 sales Over 2,259 SF 4 sales 0 50 100 17 96 41 82 Days on market, median

The median is 82 days for homes over 2,259 SF and 17 days for homes under 1,253 SF. It does not move in a straight line; homes 1,253–1,698 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-11-05T14:53:29.715376 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,253 SF 4 sales 1,253– 1,698 SF 4 sales 1,832– 2,259 SF 5 sales Over 2,259 SF 4 sales 0.0% 5.0% 10.0% 5.0% 10.2% 9.0% 8.0% Discount from original list, average

The average is 8.0% for homes over 2,259 SF and 5.0% for homes under 1,253 SF. It does not move in a straight line; homes 1,253–1,698 SF are highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-11-05T14:53:29.740420 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 0 0 75 50 0 20 20 20 50 75 50 Under 1,253 SF 1,253–1,698 SF 1,832–2,259 SF Over 2,259 SF

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

  • 50% of homes over 2,259 SF had a price cut before sale, against 25% of homes under 1,253 SF. Defined in 8.1.7.
  • 75% of homes over 2,259 SF had the seller pay closing costs or repairs, against 0% of homes under 1,253 SF. Defined in 8.1.8.
  • 50% of homes over 2,259 SF have a view, against 0% of homes under 1,253 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 1,253 SF4 sales1,253–1,698 SF4 sales1,832–2,259 SF5 salesOver 2,259 SF4 salesAll17 sales
Net sale price average$451,331$628,500$1,089,221$1,206,450$858,308
Net price per SF average$466$417$538$458$474
Living area average1,0171,5102,0142,6501,811
Year built median19631962201920171963

4.10 The numbers: selling

Under 1,253 SF4 sales1,253–1,698 SF4 sales1,832–2,259 SF5 salesOver 2,259 SF4 salesAll17 sales
Days on market median1796418253
Discount from original list average5.0%10.2%9.0%8.0%8.1%
Price cut before sale25%75%20%50%41%
Seller paid closing costs or repairs0%50%20%75%35%
Has a view0%0%20%50%18%

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

Sales ranked by year built and cut into four groups, from the oldest to the newest. Homes built in the same year always stay in the same group, so group sizes can differ a little.

2026-11-05T14:53:29.760976 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 5 4 5 17 sales Sales per group Before 1962: 3 sales (18%) 1962: 5 sales (29%) 1963–2015: 4 sales (24%) After 2015: 5 sales (29%)
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

2026-11-05T14:53:29.780976 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1962 3 sales 1962 5 sales 1963– 2015 4 sales After 2015 5 sales $0K $500K $1.00M $866K $685K $673K $1.18M Net sale price, average

The average is $1.18M for homes built after 2015 and $866K for homes built before 1962. It does not move in a straight line; homes built after 2015 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-11-05T14:53:29.802138 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1962 3 sales 1962 5 sales 1963– 2015 4 sales After 2015 5 sales $0 $200 $400 $600 $497 $489 $401 $503 Net price per SF, average

The average is $503 per SF for homes built after 2015 and $497 per SF for homes built before 1962. It does not move in a straight line; homes built after 2015 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-11-05T14:53:29.824391 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1962 3 sales 1962 5 sales 1963– 2015 4 sales After 2015 5 sales 0 1,000 2,000 1,831 1,424 1,614 2,342 Living area (SF), average

The average is 2,342 SF for homes built after 2015 and 1,831 SF for homes built before 1962. It does not move in a straight line; homes built after 2015 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-11-05T14:53:29.845473 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1962 3 sales 1962 5 sales 1963– 2015 4 sales After 2015 5 sales 0 25 50 75 8 78 46 53 Days on market, median

The median is 53 days for homes built after 2015 and 8 days for homes built before 1962. It does not move in a straight line; homes built 1962 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-11-05T14:53:29.868087 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1962 3 sales 1962 5 sales 1963– 2015 4 sales After 2015 5 sales 0.0% 5.0% 10.0% -1.0% 8.9% 10.3% 11.0% Discount from original list, average

The average is 11.0% for homes built after 2015 and -1.0% for homes built before 1962. It rises step by step from the lowest range to the 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

2026-11-05T14:53:29.892483 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 0 60 40 0 50 50 0 40 20 60 Before 1962 1962 1963–2015 After 2015

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

  • 40% of homes built after 2015 had a price cut before sale, against 0% of homes built before 1962. Defined in 8.1.7.
  • 20% of homes built after 2015 had the seller pay closing costs or repairs, against 33% of homes built before 1962. Defined in 8.1.8.
  • 60% of homes built after 2015 have a view, against 0% of homes built before 1962. 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 19623 sales19625 sales1963–20154 salesAfter 20155 salesAll17 sales
Net sale price average$865,833$685,065$672,875$1,175,381$858,308
Net price per SF average$497$489$401$503$474
Living area average1,8311,4241,6142,3421,811
Year built median19611962196420211963

5.10 The numbers: selling

Before 19623 sales19625 sales1963–20154 salesAfter 20155 salesAll17 sales
Days on market median878465353
Discount from original list average−1.0%8.9%10.3%11.0%8.1%
Price cut before sale0%60%50%40%41%
Seller paid closing costs or repairs33%40%50%20%35%
Has a view0%0%0%60%18%

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

Sales where the MLS lists a view (greenbelt or park, trees, golf course, hill country, water and similar) against those listing none or only the neighborhood. 1 sales whose MLS view entry is only “See Remarks” are left out.

2026-11-05T14:53:29.909968 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 13 16 sales Sales per group View: 3 sales (19%) No view: 13 sales (81%)
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

2026-11-05T14:53:29.926423 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 13 sales $0K $500K $1.00M $1.10M $846K Net sale price, average

The average is $1.10M for homes with a view and $846K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-11-05T14:53:29.943761 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 13 sales $0 $200 $400 $442 $499 Net price per SF, average

The average is $442 per SF for homes with a view and $499 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-11-05T14:53:29.961732 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 13 sales 0 1,000 2,000 2,445 1,710 Living area (SF), average

The average is 2,445 SF for homes with a view and 1,710 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-11-05T14:53:30.002064 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 13 sales 1965 1980 1995 2010 2025 2021 1962 Year built: median (dot) and middle half (bar)

The median is 2021 for homes with a view and 1962 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-11-05T14:53:30.019834 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 13 sales 0 20 40 60 14 53 Days on market, median

The median is 14 days for homes with a view and 53 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

2026-11-05T14:53:30.038607 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 13 sales 0.0% 2.0% 4.0% 6.0% 8.0% 6.8% 7.9% Discount from original list, average

The average is 6.8% for homes with a view and 7.9% for homes without a view. Defined in 8.1.6.

Not tested: too few sales.

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

2026-11-05T14:53:30.057157 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 33 33 46 38 View No view

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

  • 33% of homes with a view had a price cut before sale, against 46% of homes without a view. Defined in 8.1.7.
  • 33% of homes with a view had the seller pay closing costs or repairs, against 38% 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

View3 salesNo view13 salesAll16 sales
Net sale price average$1,099,433$845,687$893,264
Net price per SF average$442$499$488
Living area average2,4451,7101,848
Year built median202119621962

6.11 The numbers: selling

View3 salesNo view13 salesAll16 sales
Days on market median145347
Discount from original list average6.8%7.9%7.7%
Price cut before sale33%46%44%
Seller paid closing costs or repairs33%38%38%

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 · November 5, 2025 – November 4, 2026

Homes sold new by the builder in the same 365 days. They are left out of every other section and shown here as basic figures only: 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 Brinwood.
MeasureAverageMedian
Sales1
Net sale price$1,645,000$1,645,000
Net price per SF$545$545
Living area (SF)3,0163,016
Days on market196196
Discount from original list12.0%12.0%
Price cut before sale100% of sales
Seller paid closing costs or repairs100% of sales
Year built2025–2025

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
17 resale sales. Average $858,308; median $700,000; standard deviation $368,105; middle half (25th–75th percentile) $557,500–$1,110,000; lowest $299,000, highest $1,547,500. 6 sales had a seller payment; their median payment was $10,850.

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
17 resale sales. Average $474; median $456; standard deviation $116; middle half (25th–75th percentile) $412–$552; lowest $246, highest $731.

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
17 resale sales. Average 1,811; median 1,832; standard deviation 635; middle half (25th–75th percentile) 1,253–2,259; lowest 813, highest 2,884.

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
17 resale sales. Average 1983; median 1963; standard deviation 29; middle half (25th–75th percentile) 1962–2019; lowest 1961, 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
17 resale sales. Average 69; median 53; standard deviation 70; middle half (25th–75th percentile) 14–96; lowest 3, highest 268. 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
17 resale sales. Average 8.1%; median 7.3%; standard deviation 9.0%; middle half (25th–75th percentile) 3.5%–12.6%; lowest −9.0%, highest 25.4%. 3 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 17 resale sales (41.2%).

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
6 of 17 resale sales (35.3%).

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
3 sales with a view, 13 without, 1 unclassified. Most common View entries: None 11, Neighborhood 3, Trees/Woods 2, Park/Greenbelt 1.

8.2 Methods

8.2.1 Data source

In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
ABOR MLS via secure APIs, read from ALEX's copy of the MLS (refreshed every 15 minutes; this pull as of 2026-11-05 20:30 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Austin, SubdivisionName contains any of “brinwood” (case-insensitive). A record is kept when its subdivision name belongs to the Brinwood family, the same rule comparable sales use.
The data
Pulled November 5, 2026: 20 closed Brinwood records over the prior year, in ZIP 78704. 5 subdivision spellings kept: Brinwood Sec 03 (7); Brinwood Sec 01 (6); Brinwood Sec 02 (3); Brinwood Sec 04 (3); brinwood sec 02 (1). No other names were found by the search.

8.2.2 Study window

In simple terms
The most recent 365 days of closed sales: recent enough to describe today's market, long enough to give each group plenty of sales. The usual window is 180 days; it holds only 10 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from November 5, 2025 to November 4, 2026 inclusive.
The data
18 single-family sales in the window: 17 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
17 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); 1 sale(s) with no original list price

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 $558K”.
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 $558K: $299,000–$555,000 (4 sales); $558K–$699K: $557,500–$699,000 (4 sales); $700K–$1.11M: $700,000–$1,110,000 (5 sales); Over $1.11M: $1,135,000–$1,547,500 (4 sales)
Quartiles by living area: Under 1,253 SF: 813–1,216 SF (4 sales); 1,253–1,698 SF: 1,253–1,698 SF (4 sales); 1,832–2,259 SF: 1,832–2,259 SF (5 sales); Over 2,259 SF: 2,331–2,884 SF (4 sales)
Quartiles by year built: Before 1962: 1961–1961 (3 sales); 1962: 1962–1962 (5 sales); 1963–2015: 1963–2015 (4 sales); After 2015: 2019–2025 (5 sales)
View and no view: View: MLS lists a view (3 sales); No view: None or Neighborhood (13 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 $858,308, median $700,000. Days on market: average 69, median 53: 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); 1 sale(s) with no original list price. 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 17 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 November 5, 2026. Map data © OpenStreetMap contributors. ALEX Companies · Licensed by the Texas Real Estate Commission · Broker: Alexander Tiffany Southwest, LLC (ALEX Real Estate), #565194-BB · Diane Hart Alexander, Designated Broker, #574877-B.