ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Sherwood Oaks

Austin, TX 78704
Resale homes · closed Oct 26 – Oct 25, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
October 26, 2026 · 4:25 AM CDT
MARKET STUDY All analysis covers resale homes only. New construction appears once, in its own section. Click any dot on the map for that sale.
Resale sales, 365 days
15
single-family resale homes
Median net sale price
$686,000
average $881,147
Median net price per SF
$500
average $505
Median days on market
36 days
average 85 days
1. SummaryResale homes · 15 sales · October 26, 2025 – October 25, 2026

This study looks at the 15 resale homes sold in Sherwood Oaks 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 sold15 resale homes · colored by price range

Each dot is one resale home, colored by its price range. Use the buttons to show one price range at a time. Click a dot for that sale: address, close date, original and last list price, net sale price, living area, net sale per SF and days on market. Scroll or pinch to zoom.

Under $603K · 4 sales$603K–$686K · 4 sales$770K–$1.05M · 3 salesOver $1.05M · 4 sales
3. Quartiles by net sale priceResale homes · 15 sales · October 26, 2025 – October 25, 2026

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

2026-10-26T04:25:25.616858 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 4 3 4 15 sales Sales per group Under $603K: 4 sales (27%) $603K–$686K: 4 sales (27%) $770K–$1.05M: 3 sales (20%) Over $1.05M: 4 sales (27%)
Bottom line: too few sales to test.

3.1 Key differences

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

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

3.3 Net price per SF: described, not tested

2026-10-26T04:25:25.645329 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $603K 4 sales $603K– $686K 4 sales $770K– $1.05M 3 sales Over $1.05M 4 sales $0 $200 $400 $600 $409 $474 $509 $629 Net price per SF, average

The average is $629 per SF for homes over $1.05M and $409 per SF for homes under $603K. It rises step by step from the lowest range to the highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-10-26T04:25:25.668622 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $603K 4 sales $603K– $686K 4 sales $770K– $1.05M 3 sales Over $1.05M 4 sales 0 1,000 2,000 1,213 1,410 1,823 2,450 Living area (SF), average

The average is 2,450 SF for homes over $1.05M and 1,213 SF for homes under $603K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-10-26T04:25:25.692838 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $603K 4 sales $603K– $686K 4 sales $770K– $1.05M 3 sales Over $1.05M 4 sales 1961 1962 1963 1964 1962 1963 1961 1962 Year built: median (dot) and middle half (bar)

The median is 1962 for homes over $1.05M and 1962 for homes under $603K. It does not move in a straight line; homes $603K–$686K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-10-26T04:25:25.716122 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $603K 4 sales $603K– $686K 4 sales $770K– $1.05M 3 sales Over $1.05M 4 sales 0 50 100 16 38 102 72 Days on market, median

The median is 72 days for homes over $1.05M and 16 days for homes under $603K. It does not move in a straight line; homes $770K–$1.05M are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-10-26T04:25:25.738590 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $603K 4 sales $603K– $686K 4 sales $770K– $1.05M 3 sales Over $1.05M 4 sales 0.0% 5.0% 10.0% 2.1% 9.8% 10.9% 6.1% Discount from original list, average

The average is 6.1% for homes over $1.05M and 2.1% for homes under $603K. It does not move in a straight line; homes $770K–$1.05M are highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-10-26T04:25:25.768403 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 50 100 50 25 67 0 0 25 25 50 Under $603K $603K–$686K $770K–$1.05M Over $1.05M

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

  • 25% of homes over $1.05M had a price cut before sale, against 25% of homes under $603K. Defined in 8.1.7.
  • 25% of homes over $1.05M had the seller pay closing costs or repairs, against 0% of homes under $603K. Defined in 8.1.8.
  • 50% of homes over $1.05M have a view, against 50% of homes under $603K. 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 $603K4 sales$603K–$686K4 sales$770K–$1.05M3 salesOver $1.05M4 salesAll15 sales
Net sale price average$491,500$652,800$903,333$1,482,500$881,147
Net price per SF average$409$474$509$629$505
Living area average1,2131,4101,8232,4501,717
Year built median19621963196119621962

3.10 The numbers: selling

Under $603K4 sales$603K–$686K4 sales$770K–$1.05M3 salesOver $1.05M4 salesAll15 sales
Days on market median16381027236
Discount from original list average2.1%9.8%10.9%6.1%7.0%
Price cut before sale25%100%67%25%53%
Seller paid closing costs or repairs0%50%0%25%20%
Has a view50%25%0%50%33%

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.1.

4. Quartiles by living areaResale homes · 15 sales · October 26, 2025 – October 25, 2026

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

2026-10-26T04:25:25.789308 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 4 3 4 15 sales Sales per group Under 1,301 SF: 4 sales (27%) 1,301–1,577 SF: 4 sales (27%) 1,612–1,919 SF: 3 sales (20%) Over 1,919 SF: 4 sales (27%)
Bottom line: too few sales to test.

4.1 Key differences

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

4.3 Net sale price: described, not tested

2026-10-26T04:25:25.809803 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,301 SF 4 sales 1,301– 1,577 SF 4 sales 1,612– 1,919 SF 3 sales Over 1,919 SF 4 sales $0K $500K $1.00M $1.50M $554K $632K $971K $1.39M Net sale price, average

The average is $1.39M for homes over 1,919 SF and $554K for homes under 1,301 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

2026-10-26T04:25:25.833061 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,301 SF 4 sales 1,301– 1,577 SF 4 sales 1,612– 1,919 SF 3 sales Over 1,919 SF 4 sales $0 $200 $400 $600 $476 $458 $541 $554 Net price per SF, average

The average is $554 per SF for homes over 1,919 SF and $476 per SF for homes under 1,301 SF. It does not move in a straight line; homes over 1,919 SF are highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-10-26T04:25:25.856454 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,301 SF 4 sales 1,301– 1,577 SF 4 sales 1,612– 1,919 SF 3 sales Over 1,919 SF 4 sales 1962 1964 1966 1964 1963 1961 1962 Year built: median (dot) and middle half (bar)

The median is 1962 for homes over 1,919 SF and 1964 for homes under 1,301 SF. It does not move in a straight line; homes under 1,301 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-10-26T04:25:25.879765 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,301 SF 4 sales 1,301– 1,577 SF 4 sales 1,612– 1,919 SF 3 sales Over 1,919 SF 4 sales 0 50 100 16 38 25 113 Days on market, median

The median is 113 days for homes over 1,919 SF and 16 days for homes under 1,301 SF. It does not move in a straight line; homes over 1,919 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-10-26T04:25:25.901471 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,301 SF 4 sales 1,301– 1,577 SF 4 sales 1,612– 1,919 SF 3 sales Over 1,919 SF 4 sales 0.0% 5.0% 10.0% 2.3% 6.6% 10.1% 9.8% Discount from original list, average

The average is 9.8% for homes over 1,919 SF and 2.3% for homes under 1,301 SF. It does not move in a straight line; homes 1,612–1,919 SF are highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-10-26T04:25:25.927836 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 25 25 25 75 0 50 67 33 33 50 25 25 Under 1,301 SF 1,301–1,577 SF 1,612–1,919 SF Over 1,919 SF

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

  • 50% of homes over 1,919 SF had a price cut before sale, against 25% of homes under 1,301 SF. Defined in 8.1.7.
  • 25% of homes over 1,919 SF had the seller pay closing costs or repairs, against 25% of homes under 1,301 SF. Defined in 8.1.8.
  • 25% of homes over 1,919 SF have a view, against 25% of homes under 1,301 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 1,301 SF4 sales1,301–1,577 SF4 sales1,612–1,919 SF3 salesOver 1,919 SF4 salesAll15 sales
Net sale price average$554,250$631,750$971,067$1,390,000$881,147
Net price per SF average$476$458$541$554$505
Living area average1,1681,3841,7592,5691,717
Year built median19641963196119621962

4.10 The numbers: selling

Under 1,301 SF4 sales1,301–1,577 SF4 sales1,612–1,919 SF3 salesOver 1,919 SF4 salesAll15 sales
Days on market median16382511336
Discount from original list average2.3%6.6%10.1%9.8%7.0%
Price cut before sale25%75%67%50%53%
Seller paid closing costs or repairs25%0%33%25%20%
Has a view25%50%33%25%33%

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.2.

5. Quartiles by year builtResale homes · 15 sales · October 26, 2025 – October 25, 2026

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

2026-10-26T04:25:25.948216 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 3 4 3 15 sales Sales per group Before 1962: 5 sales (33%) 1962: 3 sales (20%) 1963: 4 sales (27%) After 1963: 3 sales (20%)
Bottom line: too few sales to test.

5.1 Key differences

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

5.3 Net sale price: described, not tested

2026-10-26T04:25:25.968687 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1962 5 sales 1962 3 sales 1963 4 sales After 1963 3 sales $0K $500K $1.00M $923K $751K $1.13M $612K Net sale price, average

The average is $612K for homes built after 1963 and $923K for homes built before 1962. It does not move in a straight line; homes built 1963 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T04:25:25.990856 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1962 5 sales 1962 3 sales 1963 4 sales After 1963 3 sales $0 $200 $400 $600 $525 $377 $573 $511 Net price per SF, average

The average is $511 per SF for homes built after 1963 and $525 per SF for homes built before 1962. It does not move in a straight line; homes built 1963 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T04:25:26.013275 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1962 5 sales 1962 3 sales 1963 4 sales After 1963 3 sales 0 500 1,000 1,500 2,000 1,756 1,971 1,868 1,199 Living area (SF), average

The average is 1,199 SF for homes built after 1963 and 1,756 SF for homes built before 1962. It does not move in a straight line; homes built 1962 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T04:25:26.035095 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1962 5 sales 1962 3 sales 1963 4 sales After 1963 3 sales 0 20 40 60 36 25 62 41 Days on market, median

The median is 41 days for homes built after 1963 and 36 days for homes built before 1962. It does not move in a straight line; homes built 1963 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T04:25:26.057981 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1962 5 sales 1962 3 sales 1963 4 sales After 1963 3 sales 0.0% 5.0% 10.0% 11.5% 3.4% 6.1% 4.2% Discount from original list, average

The average is 4.2% for homes built after 1963 and 11.5% for homes built before 1962. It does not move in a straight line; homes built before 1962 are highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-10-26T04:25:26.083179 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% 60 0 40 33 33 33 50 25 25 67 33 33 Before 1962 1962 1963 After 1963

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

  • 67% of homes built after 1963 had a price cut before sale, against 60% of homes built before 1962. Defined in 8.1.7.
  • 33% of homes built after 1963 had the seller pay closing costs or repairs, against 0% of homes built before 1962. Defined in 8.1.8.
  • 33% of homes built after 1963 have a view, against 40% 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 19625 sales19623 sales19634 salesAfter 19633 salesAll15 sales
Net sale price average$922,600$751,067$1,128,750$612,000$881,147
Net price per SF average$525$377$573$511$505
Living area average1,7561,9711,8681,1991,717
Year built median19611962196319671962

5.10 The numbers: selling

Before 19625 sales19623 sales19634 salesAfter 19633 salesAll15 sales
Days on market median3625624136
Discount from original list average11.5%3.4%6.1%4.2%7.0%
Price cut before sale60%33%50%67%53%
Seller paid closing costs or repairs0%33%25%33%20%
Has a view40%33%25%33%33%

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.3.

6. View and no viewResale homes · 15 sales · October 26, 2025 – October 25, 2026

Sales where the MLS lists a view (greenbelt or park, trees, golf course, hill country, water and similar) against those listing none or only the neighborhood.

2026-10-26T04:25:26.101358 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 10 15 sales Sales per group View: 5 sales (33%) No view: 10 sales (67%)
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$857K$893Kunclear
Net price per SF$493 per SF$511 per SFunclear
Living area1,751 SF1,700 SFunclear
Year built19621962unclear
Days on market41 days32 daysunclear
Discount from original list3.8%8.6%unclear
Price cut before sale40%60%unclear
Seller paid closing costs or repairs0%30%unclear

6.3 Net sale price: no clear difference

2026-10-26T04:25:26.118894 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 10 sales $0K $250K $500K $750K $1.00M $857K $893K Net sale price, average

The average is $857K for homes with a view and $893K 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

2026-10-26T04:25:26.137133 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 10 sales $0 $200 $400 $600 $493 $511 Net price per SF, average

The average is $493 per SF for homes with a view and $511 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

2026-10-26T04:25:26.156702 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 10 sales 0 500 1,000 1,500 2,000 1,751 1,700 Living area (SF), average

The average is 1,751 SF for homes with a view and 1,700 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-26T04:25:26.202354 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 10 sales 1961 1962 1963 1962 1962 Year built: median (dot) and middle half (bar)

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

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-26T04:25:26.220764 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 10 sales 0 10 20 30 40 41 32 Days on market, median

The median is 41 days for homes with a view and 32 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

2026-10-26T04:25:26.240856 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 10 sales 0.0% 2.5% 5.0% 7.5% 10.0% 3.8% 8.6% Discount from original list, average

The average is 3.8% for homes with a view and 8.6% 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

2026-10-26T04:25:26.260026 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 40 0 60 30 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 60% of homes without a view. Defined in 8.1.7.
  • 0% of homes with a view had the seller pay closing costs or repairs, against 30% 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 view10 salesAll15 salesReal difference?
Net sale price average$857,200$893,120$881,147unclear
Net price per SF average$493$511$505unclear
Living area average1,7511,7001,717unclear
Year built median196219621962unclear

6.11 The numbers: selling

View5 salesNo view10 salesAll15 salesReal difference?
Days on market median413236unclear
Discount from original list average3.8%8.6%7.0%unclear
Price cut before sale40%60%53%unclear
Seller paid closing costs or repairs0%30%20%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 · 1 sales · October 26, 2025 – October 25, 2026

Homes sold new by the builder in the same 365 days. They are left out of every other section and shown here as basic figures only: 1 sales, no groups, no tests.

Note: these are only the new-construction sales reported in ABOR MLS. Builders often sell homes without listing them in the MLS, so these figures do not necessarily represent all new-construction sales in Sherwood Oaks.
MeasureAverageMedian
Sales1
Net sale price$1,612,500$1,612,500
Net price per SF$513$513
Living area (SF)3,1463,146
Days on market66
Discount from original list4.9%4.9%
Price cut before sale0% of sales
Seller paid closing costs or repairs0% 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
15 resale sales. Average $881,147; median $686,000; standard deviation $425,904; middle half (25th–75th percentile) $592,100–$1,125,000; lowest $435,000, highest $1,850,000. 3 sales had a seller payment; their median payment was $15,000.

8.1.2 Net price per SF

In simple terms
Net sale price divided by the heated and cooled square feet. It puts homes of different sizes on the same footing: did buyers pay more for each square foot, not just for more square feet?
Statistically
psf = Net ÷ LivingArea, per sale; summarized by the mean of the per-sale ratios.
The data
15 resale sales. Average $505; median $500; standard deviation $137; middle half (25th–75th percentile) $409–$579; lowest $328, highest $806.

8.1.3 Living area

In simple terms
The heated and cooled space, as listed in the MLS. Garages and porches are not counted.
Statistically
RESO LivingArea, in square feet. Sales under 400 SF are treated as entry errors and left out.
The data
15 resale sales. Average 1,717; median 1,577; standard deviation 598; middle half (25th–75th percentile) 1,268–2,106; lowest 1,143, highest 3,064.

8.1.4 Year built

In simple terms
The year the home was finished, as listed in the MLS. It shows whether a group leans to older or newer phases of the community.
Statistically
RESO YearBuilt; summarized by the median, with the 25th–75th percentile (middle half) on the charts.
The data
15 resale sales. Average 1963; median 1962; standard deviation 2; middle half (25th–75th percentile) 1961–1963; lowest 1960, highest 1967.

8.1.5 Days on market

In simple terms
How many days the home was on the market before the buyer's offer was accepted, counting any earlier listing periods (relists). This is the days on market agents and clients quote.
Statistically
CDOM = max(CumulativeDaysOnMarket, DaysOnMarket, PurchaseContractDate − ListingContractDate). The MLS counter can freeze at a price change, so the contract-date gap is a floor. Summarized by the median, because a few homes that sat for months pull an average up.
The data
15 resale sales. Average 85; median 36; standard deviation 131; middle half (25th–75th percentile) 18–98; lowest 3, highest 526. 0 sales went under contract on their listing date (0 days).

8.1.6 Discount from original list

In simple terms
How far below the first asking price the home sold, after seller payments. It measures how much negotiating room sellers gave up. A negative figure means the home sold above its first asking price.
Statistically
Discount % = (OriginalListPrice − Net) ÷ OriginalListPrice × 100, per sale; summarized by the mean.
The data
15 resale sales. Average 7.0%; median 5.2%; standard deviation 7.3%; middle half (25th–75th percentile) 0.5%–12.9%; lowest −1.3%, highest 19.6%. 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
8 of 15 resale sales (53.3%).

8.1.8 Seller paid closing costs or repairs

In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
3 of 15 resale sales (20.0%).

8.1.9 Has a view

In simple terms
The MLS says the home looks over something: a greenbelt or park, trees, golf course, hill country, water and similar.
Statistically
View = the View field holds any entry other than “None”, “Neighborhood” or “See Remarks”. No view = only “None” and/or “Neighborhood”. A record whose only entry is “See Remarks” cannot be classified and is left out of the view slice.
The data
5 sales with a view, 10 without, 0 unclassified. Most common View entries: None 9, Park/Greenbelt 3, City 1, Panoramic 1, Pool 1, Neighborhood 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 “sherwood oaks” (case-insensitive). A record is kept when its subdivision name belongs to the Sherwood Oaks family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 17 closed Sherwood Oaks records over the prior year, in ZIP 78704. 6 subdivision spellings kept: Sherwood Oaks Sec 04 (6); Sherwood Oaks Sec 03 (4); Sherwood Oaks Sec 06 (3); Sherwood Oaks Sec 01 (2); SHERWOOD OAKS SEC 6 (1); Sherwood Oaks 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 October 26, 2025 to October 25, 2026 inclusive.
The data
16 single-family sales in the window: 15 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
15 resale; 1 new construction.

8.2.4 Sales left out

In simple terms
A few records cannot be used as entered and are left out before any analysis.
Statistically
Excluded: PropertySubType other than Single Family Residence; no OriginalListPrice; LivingArea under 400 SF; seller payments above 10% of ClosePrice (treated as entry errors).
The data
1 sale(s) other than single-family homes (condo, townhome and similar)

8.2.5 Quartiles and groups

In simple terms
Sales lined up from lowest to highest and cut into four groups of about equal size. Each group is named by its range, for example “Under $603K”.
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 $603K: $435,000–$581,000 (4 sales); $603K–$686K: $603,200–$686,000 (4 sales); $770K–$1.05M: $770,000–$1,050,000 (3 sales); Over $1.05M: $1,200,000–$1,850,000 (4 sales)
Quartiles by living area: Under 1,301 SF: 1,143–1,236 SF (4 sales); 1,301–1,577 SF: 1,301–1,577 SF (4 sales); 1,612–1,919 SF: 1,612–1,919 SF (3 sales); Over 1,919 SF: 2,294–3,064 SF (4 sales)
Quartiles by year built: Before 1962: 1960–1961 (5 sales); 1962: 1962–1962 (3 sales); 1963: 1963–1963 (4 sales); After 1963: 1964–1967 (3 sales)
View and no view: View: MLS lists a view (5 sales); No view: None or Neighborhood (10 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 $881,147, median $686,000. Days on market: average 85, median 36: the average is pulled up by a few long listings.

8.2.7 Kruskal–Wallis test

In simple terms
Checks whether a measure really differs across the four groups of a slice. It uses each sale's rank, not its value, so a few extreme sales cannot drive the answer.
Statistically
H = [12/(n(n+1))] Σ Rⱼ²/nⱼ − 3(n+1), compared with χ² on k − 1 degrees of freedom (Kruskal & Wallis, 1952). Effect size ε² = H/(n − 1): ≥ .01 small, ≥ .06 medium, ≥ .14 large (Tomczak & Tomczak, 2014). A slice is tested only when every group has at least 5 sales; smaller groups are described, not tested.
The data
Run on every measure in sections 3–5; each result is in 8.3.

8.2.8 Mann–Whitney U test

In simple terms
The same check when there are only two groups: view against no view.
Statistically
Two-sided U test (Mann & Whitney, 1947). Effect size = rank-biserial correlation |1 − 2U/(n₁n₂)|: ≥ .10 small, ≥ .30 medium, ≥ .50 large (Kerby, 2014; Cohen, 1988).
The data
Run on every measure in section 6; results in 8.3.

8.2.9 Chi-square test

In simple terms
Checks whether a yes/no share (price cut, seller payment, view) differs between groups more than chance would.
Statistically
Pearson χ² on the 2 × k table of counts, no continuity correction (Pearson, 1900). Effect size Cramér's V = √(χ²/n): ≥ .10 small, ≥ .30 medium, ≥ .50 large (Cramér, 1946).
The data
Run on the three shares in every slice; results in 8.3.

8.2.10 Real difference (significance)

In simple terms
“Real difference” means a gap this large would be very unlikely if the groups were really alike. Because many measures are checked in each slice, the bar is set higher than usual.
Statistically
Significant when p < 0.05 ÷ m, where m is the number of measures tested in that slice (Bonferroni; Dunn, 1961). The slicing variable itself differs by design and is not tested.
The data
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 Quartiles 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 = 21.00—0.6787p < 0.0063Unclearrank-biserial r = 0.160small
Net price per SFMann–Whitney UU = 21.00—0.6787p < 0.0063Unclearrank-biserial r = 0.160small
Living areaMann–Whitney UU = 23.50—0.9024p < 0.0063Unclearrank-biserial r = 0.060negligible
Year builtMann–Whitney UU = 20.00—0.5728p < 0.0063Unclearrank-biserial r = 0.200small
Days on marketMann–Whitney UU = 24.00—0.9530p < 0.0063Unclearrank-biserial r = 0.040negligible
Discount from original listMann–Whitney UU = 18.00—0.4396p < 0.0063Unclearrank-biserial r = 0.280small
Price cut before saleChi-squareχ² = 0.5410.4642p < 0.0063UnclearCramér’s V = 0.189small
Seller paid closing costs or repairsChi-squareχ² = 1.8810.1709p < 0.0063UnclearCramér’s V = 0.354medium

8.4 Data notes

Left out of the analysis: 1 new-construction sales (basic statistics only, section 7); 1 sale(s) other than single-family homes (condo, townhome and similar). Statistics: Python, NumPy 2.5.3, SciPy 1.18.1.

8.5 References

  1. Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Erlbaum.
  2. Cramér, H. (1946). Mathematical Methods of Statistics. Princeton University Press.
  3. Dunn, O. J. (1961). Multiple comparisons among means. JASA, 56(293), 52–64.
  4. Kerby, D. S. (2014). The simple difference formula: an approach to teaching nonparametric correlation. Comprehensive Psychology, 3, 11.IT.3.1.
  5. Kruskal, W. H., & Wallis, W. A. (1952). Use of ranks in one-criterion variance analysis. JASA, 47(260), 583–621.
  6. Mann, H. B., & Whitney, D. R. (1947). On a test of whether one of two random variables is stochastically larger than the other. Annals of Mathematical Statistics, 18(1), 50–60.
  7. Pearson, K. (1900). On the criterion that a given system of deviations… Philosophical Magazine, 50(302), 157–175.
  8. Tomczak, M., & Tomczak, E. (2014). The need to report effect size estimates revisited. Trends in Sport Sciences, 21(1), 19–25.

This is a market study of closed sales, not an appraisal or an opinion of value for any home. The analysis covers 15 closed MLS resale sales; the 1 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled October 26, 2026. Map data © OpenStreetMap contributors. ALEX Companies · Licensed by the Texas Real Estate Commission · Broker: Alexander Tiffany Southwest, LLC (ALEX Real Estate), #565194-BB · Diane Hart Alexander, Designated Broker, #574877-B.