ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Westfield A

Austin, TX 78703
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 · 4:37 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
12
single-family resale homes
Median net sale price
$1,907,500
average $1,768,791
Median net price per SF
$580
average $574
Median days on market
114 days
average 108 days
1. SummaryResale homes · 12 sales · October 26, 2025 – October 25, 2026

This study looks at the 12 resale homes sold in Westfield A in the 365 days to October 25, 2026. A full year is used because only 6 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 $1.34M · 3 sales$1.34M–$1.90M · 3 sales$1.92M–$2.30M · 3 salesOver $2.30M · 3 sales
3. Quartiles by net sale priceResale homes · 12 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.

2026-10-26T04:37:24.636089 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 3 3 3 12 sales Sales per group Under $1.34M: 3 sales (25%) $1.34M–$1.90M: 3 sales (25%) $1.92M–$2.30M: 3 sales (25%) Over $2.30M: 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

2026-10-26T04:37:24.664565 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $1.34M 3 sales $1.34M– $1.90M 3 sales $1.92M– $2.30M 3 sales Over $2.30M 3 sales $0 $250 $500 $750 $411 $517 $553 $813 Net price per SF, average

The average is $813 per SF for homes over $2.30M and $411 per SF for homes under $1.34M. 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

2026-10-26T04:37:24.687908 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $1.34M 3 sales $1.34M– $1.90M 3 sales $1.92M– $2.30M 3 sales Over $2.30M 3 sales 0 2,000 4,000 2,395 3,068 4,265 3,178 Living area (SF), average

The average is 3,178 SF for homes over $2.30M and 2,395 SF for homes under $1.34M. It does not move in a straight line; homes $1.92M–$2.30M are highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-10-26T04:37:24.714247 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $1.34M 3 sales $1.34M– $1.90M 3 sales $1.92M– $2.30M 3 sales Over $2.30M 3 sales 1940 1945 1950 1955 1960 1950 1940 1942 1948 Year built: median (dot) and middle half (bar)

The median is 1948 for homes over $2.30M and 1950 for homes under $1.34M. It does not move in a straight line; homes under $1.34M are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-10-26T04:37:24.738594 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $1.34M 3 sales $1.34M– $1.90M 3 sales $1.92M– $2.30M 3 sales Over $2.30M 3 sales 0 100 200 127 56 234 19 Days on market, median

The median is 19 days for homes over $2.30M and 127 days for homes under $1.34M. It does not move in a straight line; homes $1.92M–$2.30M are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-10-26T04:37:24.761034 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $1.34M 3 sales $1.34M– $1.90M 3 sales $1.92M– $2.30M 3 sales Over $2.30M 3 sales 0.0% 10.0% 20.0% 19.9% 13.8% 16.1% 10.9% Discount from original list, average

The average is 10.9% for homes over $2.30M and 19.9% for homes under $1.34M. It does not move in a straight line; homes under $1.34M 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

2026-10-26T04:37:24.791887 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% 100 33 33 67 33 0 67 33 0 33 33 0 Under $1.34M $1.34M–$1.90M $1.92M–$2.30M Over $2.30M

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

  • 33% of homes over $2.30M had a price cut before sale, against 100% of homes under $1.34M. Defined in 8.1.7.
  • 33% of homes over $2.30M had the seller pay closing costs or repairs, against 33% of homes under $1.34M. Defined in 8.1.8.
  • 0% of homes over $2.30M have a view, against 33% of homes under $1.34M. 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 $1.34M3 sales$1.34M–$1.90M3 sales$1.92M–$2.30M3 salesOver $2.30M3 salesAll12 sales
Net sale price average$936,663$1,579,333$2,055,000$2,504,167$1,768,791
Net price per SF average$411$517$553$813$574
Living area average2,3953,0684,2653,1783,226
Year built median19501940194219481945

3.10 The numbers: selling

Under $1.34M3 sales$1.34M–$1.90M3 sales$1.92M–$2.30M3 salesOver $2.30M3 salesAll12 sales
Days on market median1275623419114
Discount from original list average19.9%13.8%16.1%10.9%15.2%
Price cut before sale100%67%67%33%67%
Seller paid closing costs or repairs33%33%33%33%33%
Has a view33%0%0%0%8%

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 · October 26, 2025 – October 25, 2026

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

2026-10-26T04:37:24.811925 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 3 3 3 12 sales Sales per group Under 2,606 SF: 3 sales (25%) 2,606–2,729 SF: 3 sales (25%) 2,846–3,511 SF: 3 sales (25%) Over 3,511 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

2026-10-26T04:37:24.832464 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,606 SF 3 sales 2,606– 2,729 SF 3 sales 2,846– 3,511 SF 3 sales Over 3,511 SF 3 sales $0K $1.00M $2.00M $1.87M $1.07M $1.92M $2.21M Net sale price, average

The average is $2.21M for homes over 3,511 SF and $1.87M for homes under 2,606 SF. It does not move in a straight line; homes over 3,511 SF are highest. Defined in 8.1.1.

Not tested: too few sales.

4.4 Net price per SF: described, not tested

2026-10-26T04:37:24.855084 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,606 SF 3 sales 2,606– 2,729 SF 3 sales 2,846– 3,511 SF 3 sales Over 3,511 SF 3 sales $0 $250 $500 $750 $791 $405 $588 $511 Net price per SF, average

The average is $511 per SF for homes over 3,511 SF and $791 per SF for homes under 2,606 SF. It does not move in a straight line; homes under 2,606 SF are highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-10-26T04:37:24.879020 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,606 SF 3 sales 2,606– 2,729 SF 3 sales 2,846– 3,511 SF 3 sales Over 3,511 SF 3 sales 1944 1952 1960 1968 1960 1940 1939 1948 Year built: median (dot) and middle half (bar)

The median is 1948 for homes over 3,511 SF and 1960 for homes under 2,606 SF. It does not move in a straight line; homes under 2,606 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-10-26T04:37:24.904438 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,606 SF 3 sales 2,606– 2,729 SF 3 sales 2,846– 3,511 SF 3 sales Over 3,511 SF 3 sales 0 100 200 168 76 56 134 Days on market, median

The median is 134 days for homes over 3,511 SF and 168 days for homes under 2,606 SF. It does not move in a straight line; homes under 2,606 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-10-26T04:37:24.927144 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,606 SF 3 sales 2,606– 2,729 SF 3 sales 2,846– 3,511 SF 3 sales Over 3,511 SF 3 sales 0.0% 10.0% 20.0% 11.6% 15.7% 17.8% 15.7% Discount from original list, average

The average is 15.7% for homes over 3,511 SF and 11.6% for homes under 2,606 SF. It does not move in a straight line; homes 2,846–3,511 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

2026-10-26T04:37:24.953177 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% 100 33 0 67 33 33 67 67 0 33 0 0 Under 2,606 SF 2,606–2,729 SF 2,846–3,511 SF Over 3,511 SF

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

  • 33% of homes over 3,511 SF had a price cut before sale, against 100% of homes under 2,606 SF. Defined in 8.1.7.
  • 0% of homes over 3,511 SF had the seller pay closing costs or repairs, against 33% of homes under 2,606 SF. Defined in 8.1.8.
  • 0% of homes over 3,511 SF have a view, against 0% of homes under 2,606 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 2,606 SF3 sales2,606–2,729 SF3 sales2,846–3,511 SF3 salesOver 3,511 SF3 salesAll12 sales
Net sale price average$1,868,333$1,071,663$1,921,833$2,213,333$1,768,791
Net price per SF average$791$405$588$511$574
Living area average2,3122,6523,2234,7193,226
Year built median19601940193919481945

4.10 The numbers: selling

Under 2,606 SF3 sales2,606–2,729 SF3 sales2,846–3,511 SF3 salesOver 3,511 SF3 salesAll12 sales
Days on market median1687656134114
Discount from original list average11.6%15.7%17.8%15.7%15.2%
Price cut before sale100%67%67%33%67%
Seller paid closing costs or repairs33%33%67%0%33%
Has a view0%33%0%0%8%

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 · 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.

2026-10-26T04:37:24.971511 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 3 3 12 sales Sales per group Before 1948: 6 sales (50%) 1948–1950: 3 sales (25%) After 1950: 3 sales (25%)
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

2026-10-26T04:37:24.989671 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1948 6 sales 1948– 1950 3 sales After 1950 3 sales $0K $1.00M $2.00M $1.74M $1.77M $1.81M Net sale price, average

The average is $1.81M for homes built after 1950 and $1.74M for homes built before 1948. 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

2026-10-26T04:37:25.010203 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1948 6 sales 1948– 1950 3 sales After 1950 3 sales $0 $250 $500 $750 $500 $623 $672 Net price per SF, average

The average is $672 per SF for homes built after 1950 and $500 per SF for homes built before 1948. It rises step by step from the lowest range to the highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T04:37:25.029722 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1948 6 sales 1948– 1950 3 sales After 1950 3 sales 0 2,000 4,000 3,651 2,943 2,662 Living area (SF), average

The average is 2,662 SF for homes built after 1950 and 3,651 SF for homes built before 1948. It falls step by step from the lowest range to the highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T04:37:25.048683 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1948 6 sales 1948– 1950 3 sales After 1950 3 sales 0 100 200 92 102 168 Days on market, median

The median is 168 days for homes built after 1950 and 92 days for homes built before 1948. It rises step by step from the lowest range to the highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T04:37:25.068665 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1948 6 sales 1948– 1950 3 sales After 1950 3 sales 0.0% 10.0% 20.0% 17.9% 18.8% 6.2% Discount from original list, average

The average is 6.2% for homes built after 1950 and 17.9% for homes built before 1948. It does not move in a straight line; homes built 1948–1950 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

2026-10-26T04:37:25.091215 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 33 17 100 33 0 67 33 0 Before 1948 1948–1950 After 1950

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

  • 67% of homes built after 1950 had a price cut before sale, against 50% of homes built before 1948. Defined in 8.1.7.
  • 33% of homes built after 1950 had the seller pay closing costs or repairs, against 33% of homes built before 1948. Defined in 8.1.8.
  • 0% of homes built after 1950 have a view, against 17% of homes built before 1948. 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 19486 sales1948–19503 salesAfter 19503 salesAll12 sales
Net sale price average$1,743,417$1,773,330$1,815,000$1,768,791
Net price per SF average$500$623$672$574
Living area average3,6512,9432,6623,226
Year built median1940194819601945

5.10 The numbers: selling

Before 19486 sales1948–19503 salesAfter 19503 salesAll12 sales
Days on market median92102168114
Discount from original list average17.9%18.8%6.2%15.2%
Price cut before sale50%100%67%67%
Seller paid closing costs or repairs33%33%33%33%
Has a view17%0%0%8%

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 · 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.

2026-10-26T04:37:25.108163 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 1 10 11 sales Sales per group View: 1 sales (9%) No view: 10 sales (91%)
Bottom line: too few sales to test.

6.1 Key differences

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

6.3 Net sale price: described, not tested

2026-10-26T04:37:25.125701 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 10 sales $0K $500K $1.00M $1.50M $2.00M $900K $1.84M Net sale price, average

The average is $900K for homes with a view and $1.84M for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-26T04:37:25.143450 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 10 sales $0 $200 $400 $600 $330 $605 Net price per SF, average

The average is $330 per SF for homes with a view and $605 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-26T04:37:25.160732 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 10 sales 0 1,000 2,000 3,000 2,729 3,225 Living area (SF), average

The average is 2,729 SF for homes with a view and 3,225 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-26T04:37:25.206858 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 10 sales 1940 1944 1948 1952 1956 1940 1945 Year built: median (dot) and middle half (bar)

The median is 1940 for homes with a view and 1945 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-10-26T04:37:25.225245 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 10 sales 0 50 100 150 127 89 Days on market, median

The median is 127 days for homes with a view and 89 days for homes without a view. Defined in 8.1.5.

Not tested: too few sales.

6.8 Discount from original list: described, not tested

2026-10-26T04:37:25.243377 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 10 sales 0.0% 10.0% 20.0% 30.0% 40.0% 33.3% 12.5% Discount from original list, average

The average is 33.3% for homes with a view and 12.5% for homes without a view. Defined in 8.1.6.

Not tested: too few sales.

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

2026-10-26T04:37:25.263006 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 100 0 60 40 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 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 40% 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

View1 salesNo view10 salesAll11 sales
Net sale price average$900,000$1,842,549$1,756,863
Net price per SF average$330$605$580
Living area average2,7293,2253,180
Year built median194019451942

6.11 The numbers: selling

View1 salesNo view10 salesAll11 sales
Days on market median12789102
Discount from original list average33.3%12.5%14.4%
Price cut before sale100%60%64%
Seller paid closing costs or repairs0%40%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 8.3.4.

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 Westfield A.
MeasureAverageMedian
Sales1
Net sale price$3,400,000$3,400,000
Net price per SF$810$810
Living area (SF)4,1974,197
Days on market2525
Discount from original list2.8%2.8%
Price cut before sale0% of sales
Seller paid closing costs or repairs0% of sales
Year built2026–2026

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 $1,768,791; median $1,907,500; standard deviation $629,739; middle half (25th–75th percentile) $1,279,750–$2,335,000; lowest $819,989, highest $2,600,000. 4 sales had a seller payment; their median payment was $18,506.

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 $574; median $580; standard deviation $209; middle half (25th–75th percentile) $437–$694; lowest $315, highest $1,046.

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 3,226; median 2,788; standard deviation 1,272; middle half (25th–75th percentile) 2,604–3,517; lowest 1,850, highest 6,885.

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 1949; median 1945; standard deviation 13; middle half (25th–75th percentile) 1940–1952; lowest 1938, highest 1981.

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 108; median 114; standard deviation 81; middle half (25th–75th percentile) 47–142; lowest 3, highest 243. 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 15.2%; median 15.5%; standard deviation 10.0%; middle half (25th–75th percentile) 9.6%–21.4%; lowest 0.0%, highest 33.3%. 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
8 of 12 resale sales (66.7%).

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
4 of 12 resale sales (33.3%).

8.1.9 Has a view

In simple terms
The MLS says the home looks over something: a greenbelt or park, trees, golf course, hill country, water and similar.
Statistically
View = the View field holds any entry other than “None”, “Neighborhood” or “See Remarks”. No view = only “None” and/or “Neighborhood”. A record whose only entry is “See Remarks” cannot be classified and is left out of the view slice.
The data
1 sales with a view, 10 without, 1 unclassified. Most common View entries: None 6, Neighborhood 5, See Remarks 1, Creek/Stream 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 “westfield a” (case-insensitive). A record is kept when its subdivision name belongs to the Westfield A family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 15 closed Westfield A records over the prior year, in ZIP 78703. 1 subdivision spellings kept: Westfield A (15). 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 6 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
13 single-family sales in the window: 12 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
12 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
2 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 $1.34M”.
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 $1.34M: $819,989–$1,090,000 (3 sales); $1.34M–$1.90M: $1,343,000–$1,900,000 (3 sales); $1.92M–$2.30M: $1,915,000–$2,300,000 (3 sales); Over $2.30M: $2,440,000–$2,600,000 (3 sales)
Quartiles by living area: Under 2,606 SF: 1,850–2,599 SF (3 sales); 2,606–2,729 SF: 2,606–2,729 SF (3 sales); 2,846–3,511 SF: 2,846–3,511 SF (3 sales); Over 3,511 SF: 3,536–6,885 SF (3 sales)
Groups by year built: Before 1948: 1938–1942 (6 sales); 1948–1950: 1948–1950 (3 sales); After 1950: 1957–1981 (3 sales)
View and no view: View: MLS lists a view (1 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 $1,768,791, median $1,907,500. Days on market: average 108, median 114: the average is pulled up by a few long listings.

8.2.7 Kruskal–Wallis test

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

8.2.8 Mann–Whitney U test

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

8.2.9 Chi-square test

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

8.2.10 Real difference (significance)

In simple terms
“Real difference” means a gap this large would be very unlikely if the groups were really alike. Because many measures are checked in each slice, the bar is set higher than usual.
Statistically
Significant when p < 0.05 ÷ m, where m is the number of measures tested in that slice (Bonferroni; Dunn, 1961). The slicing variable itself differs by design and is not tested.
The data

8.2.11 Size of a difference

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

8.2.12 Rounding in the text

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

8.3 Test results

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

8.3.1 Quartiles by net sale price

Too few sales in a group to test.

8.3.2 Quartiles by living area

Too few sales in a group to test.

8.3.3 Groups by year built

Too few sales in a group to test.

8.3.4 View and no view

Too few sales in a group to test.

8.4 Data notes

Left out of the analysis: 1 new-construction sales (basic statistics only, section 7); 2 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 12 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.