ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Wooten Park Sec 02

Austin, TX 78757
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 · 3:43 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
12
single-family resale homes
Median net sale price
$387,500
average $482,867
Median net price per SF
$278
average $294
Median days on market
80 days
average 96 days
1. SummaryResale homes · 12 sales · November 5, 2025 – November 4, 2026

This study looks at the 12 resale homes sold in Wooten Park Sec 02 in the 365 days to November 4, 2026. A full year is used because only 9 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 sold12 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 $341K · 3 sales$341K–$385K · 3 sales$390K–$490K · 3 salesOver $490K · 3 sales
3. Quartiles by net sale priceResale homes · 12 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.

2026-11-05T15:44:08.760839 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 3 3 3 12 sales Sales per group Under $341K: 3 sales (25%) $341K–$385K: 3 sales (25%) $390K–$490K: 3 sales (25%) Over $490K: 3 sales (25%)
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

2026-11-05T15:44:08.788007 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $341K 3 sales $341K– $385K 3 sales $390K– $490K 3 sales Over $490K 3 sales $0 $200 $400 $222 $272 $345 $335 Net price per SF, average

The average is $335 per SF for homes over $490K and $222 per SF for homes under $341K. It does not move in a straight line; homes $390K–$490K are highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-11-05T15:44:08.809536 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $341K 3 sales $341K– $385K 3 sales $390K– $490K 3 sales Over $490K 3 sales 0 1,000 2,000 3,000 1,249 1,370 1,251 2,556 Living area (SF), average

The average is 2,556 SF for homes over $490K and 1,249 SF for homes under $341K. It does not move in a straight line; homes over $490K are highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-11-05T15:44:08.833877 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $341K 3 sales $341K– $385K 3 sales $390K– $490K 3 sales Over $490K 3 sales 1960 1968 1976 1984 1992 1960 1959 1958 1959 Year built: median (dot) and middle half (bar)

The median is 1959 for homes over $490K and 1960 for homes under $341K. It does not move in a straight line; homes under $341K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-11-05T15:44:08.856866 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $341K 3 sales $341K– $385K 3 sales $390K– $490K 3 sales Over $490K 3 sales 0 50 100 85 50 30 83 Days on market, median

The median is 83 days for homes over $490K and 85 days for homes under $341K. It does not move in a straight line; homes under $341K are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-11-05T15:44:08.877723 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $341K 3 sales $341K– $385K 3 sales $390K– $490K 3 sales Over $490K 3 sales 0.0% 10.0% 20.0% 30.0% 27.2% 19.2% 2.3% 7.6% Discount from original list, average

The average is 7.6% for homes over $490K and 27.2% for homes under $341K. It does not move in a straight line; homes under $341K 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

2026-11-05T15:44:08.906769 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% 67 0 33 100 33 67 33 67 0 0 67 0 Under $341K $341K–$385K $390K–$490K Over $490K

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

  • 0% of homes over $490K had a price cut before sale, against 67% of homes under $341K. Defined in 8.1.7.
  • 67% of homes over $490K had the seller pay closing costs or repairs, against 0% of homes under $341K. Defined in 8.1.8.
  • 0% of homes over $490K have a view, against 33% of homes under $341K. 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 $341K3 sales$341K–$385K3 sales$390K–$490K3 salesOver $490K3 salesAll12 sales
Net sale price average$273,833$356,667$431,133$869,833$482,867
Net price per SF average$222$272$345$335$294
Living area average1,2491,3701,2512,5561,607
Year built median19601959195819591959

3.10 The numbers: selling

Under $341K3 sales$341K–$385K3 sales$390K–$490K3 salesOver $490K3 salesAll12 sales
Days on market median8550308380
Discount from original list average27.2%19.2%2.3%7.6%14.1%
Price cut before sale67%100%33%0%50%
Seller paid closing costs or repairs0%33%67%67%42%
Has a view33%67%0%0%25%

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 · 12 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.

2026-11-05T15:44:08.926166 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 3 3 3 12 sales Sales per group Under 1,200 SF: 3 sales (25%) 1,200–1,424 SF: 3 sales (25%) 1,429–1,544 SF: 3 sales (25%) Over 1,544 SF: 3 sales (25%)
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

2026-11-05T15:44:08.946401 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,200 SF 3 sales 1,200– 1,424 SF 3 sales 1,429– 1,544 SF 3 sales Over 1,544 SF 3 sales $0K $500K $1.00M $360K $383K $318K $870K Net sale price, average

The average is $870K for homes over 1,544 SF and $360K for homes under 1,200 SF. It does not move in a straight line; homes over 1,544 SF are highest. Defined in 8.1.1.

Not tested: too few sales.

4.4 Net price per SF: described, not tested

2026-11-05T15:44:08.968302 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,200 SF 3 sales 1,200– 1,424 SF 3 sales 1,429– 1,544 SF 3 sales Over 1,544 SF 3 sales $0 $200 $400 $330 $297 $212 $335 Net price per SF, average

The average is $335 per SF for homes over 1,544 SF and $330 per SF for homes under 1,200 SF. It does not move in a straight line; homes over 1,544 SF are highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-11-05T15:44:08.992030 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,200 SF 3 sales 1,200– 1,424 SF 3 sales 1,429– 1,544 SF 3 sales Over 1,544 SF 3 sales 1960 1968 1976 1984 1992 1959 1960 1958 1959 Year built: median (dot) and middle half (bar)

The median is 1959 for homes over 1,544 SF and 1959 for homes under 1,200 SF. It does not move in a straight line; homes 1,200–1,424 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-11-05T15:44:09.015068 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,200 SF 3 sales 1,200– 1,424 SF 3 sales 1,429– 1,544 SF 3 sales Over 1,544 SF 3 sales 0 50 100 31 85 76 83 Days on market, median

The median is 83 days for homes over 1,544 SF and 31 days for homes under 1,200 SF. It does not move in a straight line; homes 1,200–1,424 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-11-05T15:44:09.036534 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,200 SF 3 sales 1,200– 1,424 SF 3 sales 1,429– 1,544 SF 3 sales Over 1,544 SF 3 sales 0.0% 10.0% 20.0% 12.7% 13.1% 23.0% 7.6% Discount from original list, average

The average is 7.6% for homes over 1,544 SF and 12.7% for homes under 1,200 SF. It does not move in a straight line; homes 1,429–1,544 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

2026-11-05T15:44:09.061754 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% 67 33 67 67 33 0 67 33 33 0 67 0 Under 1,200 SF 1,200–1,424 SF 1,429–1,544 SF Over 1,544 SF

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

  • 0% of homes over 1,544 SF had a price cut before sale, against 67% of homes under 1,200 SF. Defined in 8.1.7.
  • 67% of homes over 1,544 SF had the seller pay closing costs or repairs, against 33% of homes under 1,200 SF. Defined in 8.1.8.
  • 0% of homes over 1,544 SF have a view, against 67% of homes under 1,200 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 1,200 SF3 sales1,200–1,424 SF3 sales1,429–1,544 SF3 salesOver 1,544 SF3 salesAll12 sales
Net sale price average$359,967$383,333$318,333$869,833$482,867
Net price per SF average$330$297$212$335$294
Living area average1,0921,2791,4992,5561,607
Year built median19591960195819591959

4.10 The numbers: selling

Under 1,200 SF3 sales1,200–1,424 SF3 sales1,429–1,544 SF3 salesOver 1,544 SF3 salesAll12 sales
Days on market median3185768380
Discount from original list average12.7%13.1%23.0%7.6%14.1%
Price cut before sale67%67%67%0%50%
Seller paid closing costs or repairs33%33%33%67%42%
Has a view67%0%33%0%25%

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 · 12 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. Only 2 groups are shown: homes here share a few year built values, and no group may hold fewer than 3 sales.

2026-11-05T15:44:09.078757 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 7 12 sales Sales per group Before 1959: 5 sales (42%) After 1958: 7 sales (58%)
Bottom line: no measure differs enough between the groups to rule out chance.

5.1 Key differences

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

5.2 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.

Before 1959After 1958Real difference?
Net sale price$461K$498Kunclear
Net price per SF$277 per SF$305 per SFunclear
Living area1,703 SF1,538 SFunclear
Days on market30 days123 daysunclear
Discount from original list10.0%17.0%unclear
Price cut before sale20%71%unclear
Seller paid closing costs or repairs60%29%unclear
Has a view20%29%unclear

5.3 Net sale price: no clear difference

2026-11-05T15:44:09.094969 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1959 5 sales After 1958 7 sales $0K $200K $400K $461K $498K Net sale price, average

The average is $498K for homes built after 1958 and $461K for homes built before 1959. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-11-05T15:44:09.112876 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1959 5 sales After 1958 7 sales $0 $100 $200 $300 $277 $305 Net price per SF, average

The average is $305 per SF for homes built after 1958 and $277 per SF for homes built before 1959. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-11-05T15:44:09.131112 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1959 5 sales After 1958 7 sales 0 500 1,000 1,500 2,000 1,703 1,538 Living area (SF), average

The average is 1,538 SF for homes built after 1958 and 1,703 SF for homes built before 1959. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-11-05T15:44:09.148944 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1959 5 sales After 1958 7 sales 0 50 100 30 123 Days on market, median

The median is 123 days for homes built after 1958 and 30 days for homes built before 1959. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-11-05T15:44:09.167024 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1959 5 sales After 1958 7 sales 0.0% 5.0% 10.0% 15.0% 20.0% 10.0% 17.0% Discount from original list, average

The average is 17.0% for homes built after 1958 and 10.0% for homes built before 1959. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-11-05T15:44:09.188089 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% 20 60 20 71 29 29 Before 1959 After 1958

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

  • 71% of homes built after 1958 had a price cut before sale, against 20% of homes built before 1959. Defined in 8.1.7.
  • 29% of homes built after 1958 had the seller pay closing costs or repairs, against 60% of homes built before 1959. Defined in 8.1.8.
  • 29% of homes built after 1958 have a view, against 20% of homes built before 1959. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance

5.9 The numbers: price and size

Before 19595 salesAfter 19587 salesAll12 salesReal difference?
Net sale price average$460,980$498,500$482,867unclear
Net price per SF average$277$305$294unclear
Living area average1,7031,5381,607unclear
Year built median195819601959by design

5.10 The numbers: selling

Before 19595 salesAfter 19587 salesAll12 salesReal difference?
Days on market median3012380unclear
Discount from original list average10.0%17.0%14.1%unclear
Price cut before sale20%71%50%unclear
Seller paid closing costs or repairs60%29%42%unclear
Has a view20%29%25%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 8.3.3.

6. View and no viewResale homes · 12 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.

2026-11-05T15:44:09.202892 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 9 12 sales Sales per group View: 3 sales (25%) No view: 9 sales (75%)
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

2026-11-05T15:44:09.218203 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 9 sales $0K $200K $400K $600K $337K $532K Net sale price, average

The average is $337K for homes with a view and $532K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-11-05T15:44:09.235902 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 9 sales $0 $100 $200 $300 $282 $297 Net price per SF, average

The average is $282 per SF for homes with a view and $297 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-11-05T15:44:09.253771 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 9 sales 0 500 1,000 1,500 2,000 1,230 1,732 Living area (SF), average

The average is 1,230 SF for homes with a view and 1,732 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-11-05T15:44:09.271552 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 9 sales 1958 1959 1960 1959 1959 Year built: median (dot) and middle half (bar)

The median is 1959 for homes with a view and 1959 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-11-05T15:44:09.310895 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 9 sales 0 20 40 60 80 50 83 Days on market, median

The median is 50 days for homes with a view and 83 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

2026-11-05T15:44:09.329690 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 9 sales 0.0% 5.0% 10.0% 15.0% 20.0% 18.1% 12.8% Discount from original list, average

The average is 18.1% for homes with a view and 12.8% for homes without a view. Defined in 8.1.6.

Not tested: too few sales.

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

2026-11-05T15:44:09.348886 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 100 0 33 56 View No view

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

  • 100% of homes with a view had a price cut before sale, against 33% 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 56% of homes without a view. Defined in 8.1.8.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.

6.10 The numbers: price and size

View3 salesNo view9 salesAll12 sales
Net sale price average$336,833$531,544$482,867
Net price per SF average$282$297$294
Living area average1,2301,7321,607
Year built median195919591959

6.11 The numbers: selling

View3 salesNo view9 salesAll12 sales
Days on market median508380
Discount from original list average18.1%12.8%14.1%
Price cut before sale100%33%50%
Seller paid closing costs or repairs0%56%42%

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 · 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: 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 Wooten Park Sec 02.

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
12 resale sales. Average $482,867; median $387,500; standard deviation $294,757; middle half (25th–75th percentile) $326,125–$498,000; lowest $270,000, highest $1,300,000. 5 sales had a seller payment; their median payment was $11,600.

8.1.2 Net price per SF

In simple terms
Net sale price divided by the heated and cooled square feet. It puts homes of different sizes on the same footing: did buyers pay more for each square foot, not just for more square feet?
Statistically
psf = Net ÷ LivingArea, per sale; summarized by the mean of the per-sale ratios.
The data
12 resale sales. Average $294; median $278; standard deviation $78; middle half (25th–75th percentile) $223–$350; lowest $189, highest $449.

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
12 resale sales. Average 1,607; median 1,426; standard deviation 661; middle half (25th–75th percentile) 1,182–1,603; lowest 1,041, highest 2,989.

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
12 resale sales. Average 1964; median 1959; standard deviation 18; middle half (25th–75th percentile) 1958–1960; lowest 1956, highest 2022.

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
12 resale sales. Average 96; median 80; standard deviation 90; middle half (25th–75th percentile) 31–130; lowest 7, highest 329. 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
12 resale sales. Average 14.1%; median 11.9%; standard deviation 11.4%; middle half (25th–75th percentile) 4.1%–22.5%; lowest 2.0%, highest 34.9%. 0 sales closed above their first asking price.

8.1.7 Price cut before sale

In simple terms
The asking price was lowered at least once before the home went under contract.
Statistically
Indicator: ListPrice at close < OriginalListPrice. Reported as the share of sales (%).
The data
6 of 12 resale sales (50.0%).

8.1.8 Seller paid closing costs or repairs

In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
5 of 12 resale sales (41.7%).

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, 9 without, 0 unclassified. Most common View entries: None 9, Neighborhood 1, Park/Greenbelt 1, See Remarks 1, City 1, Trees/Woods 1.

8.2 Methods

8.2.1 Data source

In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
ABOR MLS via secure APIs, read from ALEX's copy of the MLS (refreshed every 15 minutes; this pull as of 2026-11-05 21:30 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Austin, SubdivisionName contains any of “wooten park” (case-insensitive). A record is kept when its subdivision name belongs to the Wooten Park Sec 02 family, the same rule comparable sales use.
The data
Pulled November 5, 2026: 12 closed Wooten Park Sec 02 records over the prior year, in ZIP 78757. 4 subdivision spellings kept: Wooten Park Sec 02 (4); Wooten Park Sec 05 (3); Wooten Park Sec 04 (3); Wooten Park Sec 01 (2). 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 9 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from November 5, 2025 to November 4, 2026 inclusive.
The data
12 single-family sales in the window: 12 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
12 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 $341K”.
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 $341K: $270,000–$281,500 (3 sales); $341K–$385K: $341,000–$385,000 (3 sales); $390K–$490K: $390,000–$490,000 (3 sales); Over $490K: $522,000–$1,300,000 (3 sales)
Quartiles by living area: Under 1,200 SF: 1,041–1,130 SF (3 sales); 1,200–1,424 SF: 1,200–1,424 SF (3 sales); 1,429–1,544 SF: 1,429–1,544 SF (3 sales); Over 1,544 SF: 1,780–2,989 SF (3 sales)
Groups by year built: Before 1959: 1956–1958 (5 sales); After 1958: 1959–2022 (7 sales)
View and no view: View: MLS lists a view (3 sales); No view: None or Neighborhood (9 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 $482,867, median $387,500. Days on market: average 96, median 80: 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
Groups by year built: 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

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 19.50—0.8072p < 0.0063Unclearrank-biserial r = 0.114small
Net price per SFMann–Whitney UU = 14.00—0.6389p < 0.0063Unclearrank-biserial r = 0.200small
Living areaMann–Whitney UU = 22.00—0.5303p < 0.0063Unclearrank-biserial r = 0.257small
Days on marketMann–Whitney UU = 2.00—0.0101p < 0.0063Unclearrank-biserial r = 0.886large
Discount from original listMann–Whitney UU = 10.00—0.2677p < 0.0063Unclearrank-biserial r = 0.429medium
Price cut before saleChi-squareχ² = 3.0910.0790p < 0.0063UnclearCramér’s V = 0.507large
Seller paid closing costs or repairsChi-squareχ² = 1.1910.2763p < 0.0063UnclearCramér’s V = 0.314medium
Has a viewChi-squareχ² = 0.1110.7353p < 0.0063UnclearCramér’s V = 0.098negligible

8.3.4 View and no view

Too few sales in a group to test.

8.4 Data notes

Left out of the analysis: 0 new-construction sales (basic statistics only, section 7); nothing else. Statistics: Python, NumPy 2.5.3, SciPy 1.18.1.

8.5 References

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

This is a market study of closed sales, not an appraisal or an opinion of value for any home. The analysis covers 12 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 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.