ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Oak Brook

Austin, TX 78717
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 · 4:31 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
14
single-family resale homes
Median net sale price
$661,202
average $671,726
Median net price per SF
$226
average $225
Median days on market
30 days
average 62 days
1. SummaryResale homes · 14 sales · October 26, 2025 – October 25, 2026

This study looks at the 14 resale homes sold in Oak Brook in the 365 days to October 25, 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 sold14 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 $647K · 4 sales$647K–$660K · 3 sales$662K–$698K · 3 salesOver $698K · 4 sales
3. Quartiles by net sale priceResale homes · 14 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.

2026-10-26T04:31:14.315099 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 3 3 4 14 sales Sales per group Under $647K: 4 sales (29%) $647K–$660K: 3 sales (21%) $662K–$698K: 3 sales (21%) Over $698K: 4 sales (29%)
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

2026-10-26T04:31:14.343520 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $647K 4 sales $647K– $660K 3 sales $662K– $698K 3 sales Over $698K 4 sales $0 $100 $200 $233 $235 $216 $216 Net price per SF, average

The average is $216 per SF for homes over $698K and $233 per SF for homes under $647K. It does not move in a straight line; homes $647K–$660K are highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-10-26T04:31:14.365667 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $647K 4 sales $647K– $660K 3 sales $662K– $698K 3 sales Over $698K 4 sales 0 2,000 4,000 2,610 2,782 3,128 3,616 Living area (SF), average

The average is 3,616 SF for homes over $698K and 2,610 SF for homes under $647K. 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

2026-10-26T04:31:14.388423 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $647K 4 sales $647K– $660K 3 sales $662K– $698K 3 sales Over $698K 4 sales 1996 1998 2000 1998 1996 2000 2000 Year built: median (dot) and middle half (bar)

The median is 2000 for homes over $698K and 1998 for homes under $647K. It does not move in a straight line; homes $662K–$698K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-10-26T04:31:14.411073 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $647K 4 sales $647K– $660K 3 sales $662K– $698K 3 sales Over $698K 4 sales 0 50 100 22 25 121 43 Days on market, median

The median is 43 days for homes over $698K and 22 days for homes under $647K. It does not move in a straight line; homes $662K–$698K are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-10-26T04:31:14.433448 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $647K 4 sales $647K– $660K 3 sales $662K– $698K 3 sales Over $698K 4 sales 0.0% 2.5% 5.0% 7.5% 3.0% 1.7% 7.7% 5.4% Discount from original list, average

The average is 5.4% for homes over $698K and 3.0% for homes under $647K. It does not move in a straight line; homes $662K–$698K 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

2026-10-26T04:31:14.463731 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 75 75 33 33 0 67 100 33 50 100 25 Under $647K $647K–$660K $662K–$698K Over $698K

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

  • 50% of homes over $698K had a price cut before sale, against 25% of homes under $647K. Defined in 8.1.7.
  • 100% of homes over $698K had the seller pay closing costs or repairs, against 75% of homes under $647K. Defined in 8.1.8.
  • 25% of homes over $698K have a view, against 75% of homes under $647K. 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 $647K4 sales$647K–$660K3 sales$662K–$698K3 salesOver $698K4 salesAll14 sales
Net sale price average$601,850$652,367$674,635$753,939$671,726
Net price per SF average$233$235$216$216$225
Living area average2,6102,7823,1283,6163,046
Year built median19981996200020001999

3.10 The numbers: selling

Under $647K4 sales$647K–$660K3 sales$662K–$698K3 salesOver $698K4 salesAll14 sales
Days on market median22251214330
Discount from original list average3.0%1.7%7.7%5.4%4.4%
Price cut before sale25%33%67%50%43%
Seller paid closing costs or repairs75%33%100%100%79%
Has a view75%0%33%25%36%

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 · 14 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.

2026-10-26T04:31:14.484650 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 3 3 4 14 sales Sales per group Under 2,847 SF: 4 sales (29%) 2,847–2,916 SF: 3 sales (21%) 2,921–3,013 SF: 3 sales (21%) Over 3,013 SF: 4 sales (29%)
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

2026-10-26T04:31:14.505573 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,847 SF 4 sales 2,847– 2,916 SF 3 sales 2,921– 3,013 SF 3 sales Over 3,013 SF 4 sales $0K $250K $500K $750K $613K $657K $697K $722K Net sale price, average

The average is $722K for homes over 3,013 SF and $613K for homes under 2,847 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

Not tested: too few sales.

4.4 Net price per SF: described, not tested

2026-10-26T04:31:14.528875 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,847 SF 4 sales 2,847– 2,916 SF 3 sales 2,921– 3,013 SF 3 sales Over 3,013 SF 4 sales $0 $100 $200 $245 $228 $235 $195 Net price per SF, average

The average is $195 per SF for homes over 3,013 SF and $245 per SF for homes under 2,847 SF. It does not move in a straight line; homes under 2,847 SF are highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-10-26T04:31:14.551355 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,847 SF 4 sales 2,847– 2,916 SF 3 sales 2,921– 3,013 SF 3 sales Over 3,013 SF 4 sales 1996 1998 2000 1996 1997 1999 2000 Year built: median (dot) and middle half (bar)

The median is 2000 for homes over 3,013 SF and 1996 for homes under 2,847 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-10-26T04:31:14.573681 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,847 SF 4 sales 2,847– 2,916 SF 3 sales 2,921– 3,013 SF 3 sales Over 3,013 SF 4 sales 0 50 100 150 54 25 6 127 Days on market, median

The median is 127 days for homes over 3,013 SF and 54 days for homes under 2,847 SF. It does not move in a straight line; homes over 3,013 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-10-26T04:31:14.596634 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,847 SF 4 sales 2,847– 2,916 SF 3 sales 2,921– 3,013 SF 3 sales Over 3,013 SF 4 sales 0.0% 2.5% 5.0% 7.5% 5.1% 4.1% -0.2% 7.5% Discount from original list, average

The average is 7.5% for homes over 3,013 SF and 5.1% for homes under 2,847 SF. It does not move in a straight line; homes over 3,013 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

2026-10-26T04:31:14.623230 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 50 75 33 67 33 0 100 33 75 100 0 Under 2,847 SF 2,847–2,916 SF 2,921–3,013 SF Over 3,013 SF

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

  • 75% of homes over 3,013 SF had a price cut before sale, against 50% of homes under 2,847 SF. Defined in 8.1.7.
  • 100% of homes over 3,013 SF had the seller pay closing costs or repairs, against 50% of homes under 2,847 SF. Defined in 8.1.8.
  • 0% of homes over 3,013 SF have a view, against 75% of homes under 2,847 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 2,847 SF4 sales2,847–2,916 SF3 sales2,921–3,013 SF3 salesOver 3,013 SF4 salesAll14 sales
Net sale price average$613,100$657,033$697,485$722,051$671,726
Net price per SF average$245$228$235$195$225
Living area average2,5182,8842,9703,7503,046
Year built median19961997199920001999

4.10 The numbers: selling

Under 2,847 SF4 sales2,847–2,916 SF3 sales2,921–3,013 SF3 salesOver 3,013 SF4 salesAll14 sales
Days on market median5425612730
Discount from original list average5.1%4.1%−0.2%7.5%4.4%
Price cut before sale50%33%0%75%43%
Seller paid closing costs or repairs50%67%100%100%79%
Has a view75%33%33%0%36%

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 · 14 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.

2026-10-26T04:31:14.641922 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 4 6 14 sales Sales per group Before 1997: 4 sales (29%) 1997–1999: 4 sales (29%) After 1999: 6 sales (43%)
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

2026-10-26T04:31:14.660267 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1997 4 sales 1997– 1999 4 sales After 1999 6 sales $0K $250K $500K $750K $631K $685K $690K Net sale price, average

The average is $690K for homes built after 1999 and $631K for homes built before 1997. 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

2026-10-26T04:31:14.681128 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1997 4 sales 1997– 1999 4 sales After 1999 6 sales $0 $100 $200 $235 $232 $213 Net price per SF, average

The average is $213 per SF for homes built after 1999 and $235 per SF for homes built before 1997. It falls 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

2026-10-26T04:31:14.700182 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1997 4 sales 1997– 1999 4 sales After 1999 6 sales 0 2,000 4,000 2,685 2,950 3,349 Living area (SF), average

The average is 3,349 SF for homes built after 1999 and 2,685 SF for homes built before 1997. It rises 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

2026-10-26T04:31:14.719620 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1997 4 sales 1997– 1999 4 sales After 1999 6 sales 0 50 100 42 6 100 Days on market, median

The median is 100 days for homes built after 1999 and 42 days for homes built before 1997. It does not move in a straight line; homes built after 1999 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T04:31:14.740619 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1997 4 sales 1997– 1999 4 sales After 1999 6 sales 0.0% 2.5% 5.0% 7.5% 4.1% -0.1% 7.7% Discount from original list, average

The average is 7.7% for homes built after 1999 and 4.1% for homes built before 1997. It does not move in a straight line; homes built after 1999 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

2026-10-26T04:31:14.763495 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 50 50 0 100 25 67 83 33 Before 1997 1997–1999 After 1999

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

  • 67% of homes built after 1999 had a price cut before sale, against 50% of homes built before 1997. Defined in 8.1.7.
  • 83% of homes built after 1999 had the seller pay closing costs or repairs, against 50% of homes built before 1997. Defined in 8.1.8.
  • 33% of homes built after 1999 have a view, against 50% of homes built before 1997. 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 19974 sales1997–19994 salesAfter 19996 salesAll14 sales
Net sale price average$630,600$684,889$690,368$671,726
Net price per SF average$235$232$213$225
Living area average2,6852,9503,3493,046
Year built median1996199820001999

5.10 The numbers: selling

Before 19974 sales1997–19994 salesAfter 19996 salesAll14 sales
Days on market median42610030
Discount from original list average4.1%−0.1%7.7%4.4%
Price cut before sale50%0%67%43%
Seller paid closing costs or repairs50%100%83%79%
Has a view50%25%33%36%

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 · 14 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. 1 sales whose MLS view entry is only “See Remarks” are left out.

2026-10-26T04:31:14.780068 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 8 13 sales Sales per group View: 5 sales (38%) No view: 8 sales (62%)
Bottom line: no measure differs enough between the groups to rule out chance.

6.1 Key differences

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

6.2 At a glance

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

ViewNo viewReal difference?
Net sale price$643K$698Kunclear
Net price per SF$243 per SF$216 per SFunclear
Living area2,660 SF3,295 SFunclear
Year built19991999unclear
Days on market35 days50 daysunclear
Discount from original list5.5%4.4%unclear
Price cut before sale40%50%unclear
Seller paid closing costs or repairs80%75%unclear

6.3 Net sale price: no clear difference

2026-10-26T04:31:14.797523 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 8 sales $0K $200K $400K $600K $800K $643K $698K Net sale price, average

The average is $643K for homes with a view and $698K for homes without a view. Defined in 8.1.1.

– No clear difference · could be chance

6.4 Net price per SF: no clear difference

2026-10-26T04:31:14.815691 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 8 sales $0 $100 $200 $243 $216 Net price per SF, average

The average is $243 per SF for homes with a view and $216 per SF for homes without a view. Defined in 8.1.2.

– No clear difference · could be chance

6.5 Living area: no clear difference

2026-10-26T04:31:14.832680 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 8 sales 0 1,000 2,000 3,000 2,660 3,295 Living area (SF), average

The average is 2,660 SF for homes with a view and 3,295 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-26T04:31:14.877893 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 8 sales 1996 1997 1998 1999 2000 1999 1999 Year built: median (dot) and middle half (bar)

The median is 1999 for homes with a view and 1999 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-26T04:31:14.896952 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 8 sales 0 20 40 60 35 50 Days on market, median

The median is 35 days for homes with a view and 50 days for homes without a view. Defined in 8.1.5.

– No clear difference · could be chance

6.8 Discount from original list: no clear difference

2026-10-26T04:31:14.914310 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 8 sales 0.0% 2.0% 4.0% 6.0% 5.5% 4.4% Discount from original list, average

The average is 5.5% for homes with a view and 4.4% for homes without a view. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-10-26T04:31:14.933671 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 40 80 50 75 View No view

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

  • 40% of homes with a view had a price cut before sale, against 50% of homes without a view. Defined in 8.1.7.
  • 80% of homes with a view had the seller pay closing costs or repairs, against 75% of homes without a view. Defined in 8.1.8.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance

6.10 The numbers: price and size

View5 salesNo view8 salesAll13 salesReal difference?
Net sale price average$642,971$698,038$676,859unclear
Net price per SF average$243$216$227unclear
Living area average2,6603,2953,051unclear
Year built median199919991999unclear

6.11 The numbers: selling

View5 salesNo view8 salesAll13 salesReal difference?
Days on market median355035unclear
Discount from original list average5.5%4.4%4.9%unclear
Price cut before sale40%50%46%unclear
Seller paid closing costs or repairs80%75%77%unclear

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

7. New constructionBasic statistics · 0 sales · 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 Oak Brook.

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
14 resale sales. Average $671,726; median $661,202; standard deviation $64,873; middle half (25th–75th percentile) $645,450–$721,125; lowest $567,500, highest $799,300. 11 sales had a seller payment; their median payment was $2,900.

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
14 resale sales. Average $225; median $226; standard deviation $28; middle half (25th–75th percentile) $209–$245; lowest $161, highest $271.

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
14 resale sales. Average 3,046; median 2,918; standard deviation 595; middle half (25th–75th percentile) 2,705–3,089; lowest 2,180, highest 4,542.

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
14 resale sales. Average 1998; median 1999; standard deviation 2; middle half (25th–75th percentile) 1996–2000; lowest 1995, highest 2002.

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
14 resale sales. Average 62; median 30; standard deviation 72; middle half (25th–75th percentile) 8–78; lowest 3, highest 236. 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
14 resale sales. Average 4.4%; median 1.8%; standard deviation 5.5%; middle half (25th–75th percentile) 0.3%–8.3%; lowest −2.3%, highest 14.3%. 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
6 of 14 resale sales (42.9%).

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 14 resale sales (78.6%).

8.1.9 Has a view

In simple terms
The MLS says the home looks over something: a greenbelt or park, trees, golf course, hill country, water and similar.
Statistically
View = the View field holds any entry other than “None”, “Neighborhood” or “See Remarks”. No view = only “None” and/or “Neighborhood”. A record whose only entry is “See Remarks” cannot be classified and is left out of the view slice.
The data
5 sales with a view, 8 without, 1 unclassified. Most common View entries: None 7, Neighborhood 3, Park/Greenbelt 3, Trees/Woods 2, Pond 1, 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 “oak brook” (case-insensitive). A record is kept when its subdivision name belongs to the Oak Brook family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 14 closed Oak Brook records over the prior year, in ZIP 78717. 8 subdivision spellings kept: Oak Brook Sec 1 (5); Oak Brook Sec 2A (2); Oak Brook Sec 3 (2); Oak Brook Sec 4B (1); Oak Brook Sec 2b (1); Oak Brook (1); Oak Brook Sec 2B (1); Oak Brook Sec 01 (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 October 26, 2025 to October 25, 2026 inclusive.
The data
14 single-family sales in the window: 14 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
14 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 $647K”.
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 $647K: $567,500–$644,900 (4 sales); $647K–$660K: $647,100–$660,000 (3 sales); $662K–$698K: $662,405–$697,500 (3 sales); Over $698K: $729,000–$799,300 (4 sales)
Quartiles by living area: Under 2,847 SF: 2,180–2,658 SF (4 sales); 2,847–2,916 SF: 2,847–2,916 SF (3 sales); 2,921–3,013 SF: 2,921–3,013 SF (3 sales); Over 3,013 SF: 3,114–4,542 SF (4 sales)
Groups by year built: Before 1997: 1995–1996 (4 sales); 1997–1999: 1997–1999 (4 sales); After 1999: 2000–2002 (6 sales)
View and no view: View: MLS lists a view (5 sales); No view: None or Neighborhood (8 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 $671,726, median $661,202. Days on market: average 62, 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
View and no view: m = 8, threshold p < 0.0063

8.2.11 Size of a difference

In simple terms
A difference can be real but small. The size word (small, medium, large) says how much the groups pull apart.
Statistically
ε² for Kruskal–Wallis, rank-biserial r for Mann–Whitney, Cramér's V for chi-square, with the thresholds above; below the small threshold the size is “negligible”.
The data
0 real differences across the four slices; sizes are listed in 8.3.

8.2.12 Rounding in the text

In simple terms
Headings and sentences round figures so they read easily; the tables at the end of each section give them in full.
Statistically
Prices in headings round to the nearest $1K; price per SF and days on market to the nearest whole number; living area to the nearest 10 SF; shares and percentage gaps to whole percents.
The data
Days on market is always shown in days.

8.3 Test results

Every test behind every gold box. Statistic, degrees of freedom (df), p-value, the threshold it must beat, and the size of the difference.

8.3.1 Quartiles by net sale price

Too few sales in a group to test.

8.3.2 Quartiles by living area

Too few sales in a group to test.

8.3.3 Groups by year built

Too few sales in a group to test.

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 11.00—0.2222p < 0.0063Unclearrank-biserial r = 0.450medium
Net price per SFMann–Whitney UU = 32.00—0.0932p < 0.0063Unclearrank-biserial r = 0.600large
Living areaMann–Whitney UU = 8.00—0.0932p < 0.0063Unclearrank-biserial r = 0.600large
Year builtMann–Whitney UU = 16.00—0.6024p < 0.0063Unclearrank-biserial r = 0.200small
Days on marketMann–Whitney UU = 16.00—0.6216p < 0.0063Unclearrank-biserial r = 0.200small
Discount from original listMann–Whitney UU = 23.00—0.7242p < 0.0063Unclearrank-biserial r = 0.150small
Price cut before saleChi-squareχ² = 0.1210.7249p < 0.0063UnclearCramér’s V = 0.098negligible
Seller paid closing costs or repairsChi-squareχ² = 0.0410.8351p < 0.0063UnclearCramér’s V = 0.058negligible

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 14 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.