ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Westcreek

Austin, TX 78749
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 · 4:08 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
21
single-family resale homes
Median net sale price
$521,250
average $534,728
Median net price per SF
$334
average $312
Median days on market
31 days
average 56 days
1. SummaryResale homes · 21 sales · October 26, 2025 – October 25, 2026

This study looks at the 21 resale homes sold in Westcreek in the 365 days to October 25, 2026. A full year is used because only 13 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 sold21 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 $480K · 5 sales$480K–$519K · 5 sales$521K–$580K · 6 salesOver $580K · 5 sales
3. Quartiles by net sale priceResale homes · 21 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.

2026-10-26T04:08:40.596347 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 6 5 21 sales Sales per group Under $480K: 5 sales (24%) $480K–$519K: 5 sales (24%) $521K–$580K: 6 sales (29%) Over $580K: 5 sales (24%)
Bottom line: no measure differs enough between the groups to rule out chance.

3.1 Key differences

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

3.2 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.

Under $480K$480K–$519K$521K–$580KOver $580KReal difference?
Net price per SF$251 per SF$323 per SF$319 per SF$356 per SFunclear
Living area1,770 SF1,581 SF1,753 SF1,850 SFunclear
Year built1982198119821983unclear
Days on market36 days49 days26 days27 daysunclear
Discount from original list7.1%10.4%8.0%6.1%unclear
Price cut before sale60%60%50%60%unclear
Seller paid closing costs or repairs80%80%50%60%unclear
Has a view0%20%0%40%unclear

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: no clear difference

2026-10-26T04:08:40.625293 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $480K 5 sales $480K– $519K 5 sales $521K– $580K 6 sales Over $580K 5 sales $0 $200 $400 $251 $323 $319 $356 Net price per SF, average

The average is $356 per SF for homes over $580K and $251 per SF for homes under $480K. It does not move in a straight line; homes over $580K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Living area: no clear difference

2026-10-26T04:08:40.647812 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $480K 5 sales $480K– $519K 5 sales $521K– $580K 6 sales Over $580K 5 sales 0 1,000 2,000 1,770 1,581 1,753 1,850 Living area (SF), average

The average is 1,850 SF for homes over $580K and 1,770 SF for homes under $480K. It does not move in a straight line; homes over $580K are highest. Defined in 8.1.3.

– No clear difference · could be chance

3.5 Year built: no clear difference

2026-10-26T04:08:40.671290 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $480K 5 sales $480K– $519K 5 sales $521K– $580K 6 sales Over $580K 5 sales 1980 1982 1984 1982 1981 1982 1983 Year built: median (dot) and middle half (bar)

The median is 1983 for homes over $580K and 1982 for homes under $480K. It does not move in a straight line; homes over $580K are highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-10-26T04:08:40.694068 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $480K 5 sales $480K– $519K 5 sales $521K– $580K 6 sales Over $580K 5 sales 0 20 40 36 49 26 27 Days on market, median

The median is 27 days for homes over $580K and 36 days for homes under $480K. It does not move in a straight line; homes $480K–$519K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-26T04:08:40.715551 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $480K 5 sales $480K– $519K 5 sales $521K– $580K 6 sales Over $580K 5 sales 0.0% 5.0% 10.0% 7.1% 10.4% 8.0% 6.1% Discount from original list, average

The average is 6.1% for homes over $580K and 7.1% for homes under $480K. It does not move in a straight line; homes $480K–$519K are highest. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-10-26T04:08:40.745606 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 80 0 60 80 20 50 50 0 60 60 40 Under $480K $480K–$519K $521K–$580K Over $580K

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

  • 60% of homes over $580K had a price cut before sale, against 60% of homes under $480K. Defined in 8.1.7.
  • 60% of homes over $580K had the seller pay closing costs or repairs, against 80% of homes under $480K. Defined in 8.1.8.
  • 40% of homes over $580K have a view, against 0% of homes under $480K. 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

3.9 The numbers: price and size

Under $480K5 sales$480K–$519K5 sales$521K–$580K6 salesOver $580K5 salesAll21 salesReal difference?
Net sale price average$432,274$496,490$550,352$656,670$534,728by design
Net price per SF average$251$323$319$356$312unclear
Living area average1,7701,5811,7531,8501,739unclear
Year built median19821981198219831982unclear

3.10 The numbers: selling

Under $480K5 sales$480K–$519K5 sales$521K–$580K6 salesOver $580K5 salesAll21 salesReal difference?
Days on market median3649262731unclear
Discount from original list average7.1%10.4%8.0%6.1%7.9%unclear
Price cut before sale60%60%50%60%57%unclear
Seller paid closing costs or repairs80%80%50%60%67%unclear
Has a view0%20%0%40%14%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 8.3.1.

4. Quartiles by living areaResale homes · 21 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.

2026-10-26T04:08:40.766028 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 6 5 21 sales Sales per group Under 1,465 SF: 5 sales (24%) 1,465–1,789 SF: 5 sales (24%) 1,795–1,910 SF: 6 sales (29%) Over 1,910 SF: 5 sales (24%)
Bottom line: no measure differs enough between the groups to rule out chance.

4.1 Key differences

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

4.2 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.

Under 1,465 SF1,465–1,789 SF1,795–1,910 SFOver 1,910 SFReal difference?
Net sale price$502K$504K$563K$565Kunclear
Net price per SF$364 per SF$303 per SF$308 per SF$276 per SFunclear
Year built1981198219821982unclear
Days on market49 days22 days14 days43 daysunclear
Discount from original list11.3%6.5%5.5%8.9%unclear
Price cut before sale80%40%33%80%unclear
Seller paid closing costs or repairs60%60%100%40%unclear
Has a view20%20%0%20%unclear

4.3 Net sale price: no clear difference

2026-10-26T04:08:40.786447 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,465 SF 5 sales 1,465– 1,789 SF 5 sales 1,795– 1,910 SF 6 sales Over 1,910 SF 5 sales $0K $200K $400K $600K $502K $504K $563K $565K Net sale price, average

The average is $565K for homes over 1,910 SF and $502K for homes under 1,465 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

– No clear difference · could be chance

4.4 Net price per SF: no clear difference

2026-10-26T04:08:40.809294 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,465 SF 5 sales 1,465– 1,789 SF 5 sales 1,795– 1,910 SF 6 sales Over 1,910 SF 5 sales $0 $200 $400 $364 $303 $308 $276 Net price per SF, average

The average is $276 per SF for homes over 1,910 SF and $364 per SF for homes under 1,465 SF. It does not move in a straight line; homes under 1,465 SF are highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-10-26T04:08:40.831684 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,465 SF 5 sales 1,465– 1,789 SF 5 sales 1,795– 1,910 SF 6 sales Over 1,910 SF 5 sales 1980 1982 1984 1981 1982 1982 1982 Year built: median (dot) and middle half (bar)

The median is 1982 for homes over 1,910 SF and 1981 for homes under 1,465 SF. It does not move in a straight line; homes 1,465–1,789 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-10-26T04:08:40.854557 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,465 SF 5 sales 1,465– 1,789 SF 5 sales 1,795– 1,910 SF 6 sales Over 1,910 SF 5 sales 0 20 40 49 22 14 43 Days on market, median

The median is 43 days for homes over 1,910 SF and 49 days for homes under 1,465 SF. It does not move in a straight line; homes under 1,465 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-26T04:08:40.876344 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,465 SF 5 sales 1,465– 1,789 SF 5 sales 1,795– 1,910 SF 6 sales Over 1,910 SF 5 sales 0.0% 5.0% 10.0% 11.3% 6.5% 5.5% 8.9% Discount from original list, average

The average is 8.9% for homes over 1,910 SF and 11.3% for homes under 1,465 SF. It does not move in a straight line; homes under 1,465 SF are highest. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-10-26T04:08:40.902829 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% 80 60 20 40 60 20 33 100 0 80 40 20 Under 1,465 SF 1,465–1,789 SF 1,795–1,910 SF Over 1,910 SF

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

  • 80% of homes over 1,910 SF had a price cut before sale, against 80% of homes under 1,465 SF. Defined in 8.1.7.
  • 40% of homes over 1,910 SF had the seller pay closing costs or repairs, against 60% of homes under 1,465 SF. Defined in 8.1.8.
  • 20% of homes over 1,910 SF have a view, against 20% of homes under 1,465 SF. 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

4.9 The numbers: price and size

Under 1,465 SF5 sales1,465–1,789 SF5 sales1,795–1,910 SF6 salesOver 1,910 SF5 salesAll21 salesReal difference?
Net sale price average$501,684$503,973$562,758$564,890$534,728unclear
Net price per SF average$364$303$308$276$312unclear
Living area average1,3781,6581,8322,0691,739by design
Year built median19811982198219821982unclear

4.10 The numbers: selling

Under 1,465 SF5 sales1,465–1,789 SF5 sales1,795–1,910 SF6 salesOver 1,910 SF5 salesAll21 salesReal difference?
Days on market median4922144331unclear
Discount from original list average11.3%6.5%5.5%8.9%7.9%unclear
Price cut before sale80%40%33%80%57%unclear
Seller paid closing costs or repairs60%60%100%40%67%unclear
Has a view20%20%0%20%14%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 8.3.2.

5. Quartiles by year builtResale homes · 21 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.

2026-10-26T04:08:40.922698 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 4 7 5 21 sales Sales per group Before 1981: 5 sales (24%) 1981: 4 sales (19%) 1982: 7 sales (33%) After 1982: 5 sales (24%)
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

2026-10-26T04:08:40.942517 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1981 5 sales 1981 4 sales 1982 7 sales After 1982 5 sales $0K $200K $400K $600K $568K $495K $473K $620K Net sale price, average

The average is $620K for homes built after 1982 and $568K for homes built before 1981. It does not move in a straight line; homes built after 1982 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T04:08:40.965655 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1981 5 sales 1981 4 sales 1982 7 sales After 1982 5 sales $0 $100 $200 $300 $400 $355 $305 $268 $337 Net price per SF, average

The average is $337 per SF for homes built after 1982 and $355 per SF for homes built before 1981. It does not move in a straight line; homes built before 1981 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T04:08:40.987956 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1981 5 sales 1981 4 sales 1982 7 sales After 1982 5 sales 0 500 1,000 1,500 2,000 1,598 1,690 1,796 1,840 Living area (SF), average

The average is 1,840 SF for homes built after 1982 and 1,598 SF for homes built before 1981. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T04:08:41.010223 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1981 5 sales 1981 4 sales 1982 7 sales After 1982 5 sales 0 20 40 60 80 22 72 13 27 Days on market, median

The median is 27 days for homes built after 1982 and 22 days for homes built before 1981. It does not move in a straight line; homes built 1981 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T04:08:41.032442 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1981 5 sales 1981 4 sales 1982 7 sales After 1982 5 sales 0.0% 5.0% 10.0% 15.0% 7.3% 13.5% 6.1% 6.5% Discount from original list, average

The average is 6.5% for homes built after 1982 and 7.3% for homes built before 1981. It does not move in a straight line; homes built 1981 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

2026-10-26T04:08:41.057629 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% 40 80 0 100 75 25 43 71 0 60 40 40 Before 1981 1981 1982 After 1982

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

  • 60% of homes built after 1982 had a price cut before sale, against 40% of homes built before 1981. Defined in 8.1.7.
  • 40% of homes built after 1982 had the seller pay closing costs or repairs, against 80% of homes built before 1981. Defined in 8.1.8.
  • 40% of homes built after 1982 have a view, against 0% of homes built before 1981. 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 19815 sales19814 sales19827 salesAfter 19825 salesAll21 sales
Net sale price average$567,577$494,762$472,907$620,400$534,728
Net price per SF average$355$305$268$337$312
Living area average1,5981,6901,7961,8401,739
Year built median19791981198219841982

5.10 The numbers: selling

Before 19815 sales19814 sales19827 salesAfter 19825 salesAll21 sales
Days on market median2272132731
Discount from original list average7.3%13.5%6.1%6.5%7.9%
Price cut before sale40%100%43%60%57%
Seller paid closing costs or repairs80%75%71%40%67%
Has a view0%25%0%40%14%

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 · 21 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.

2026-10-26T04:08:41.076360 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 18 21 sales Sales per group View: 3 sales (14%) No view: 18 sales (86%)
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

2026-10-26T04:08:41.091864 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 18 sales $0K $200K $400K $600K $615K $521K Net sale price, average

The average is $615K for homes with a view and $521K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-26T04:08:41.110399 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 18 sales $0 $100 $200 $300 $400 $369 $303 Net price per SF, average

The average is $369 per SF for homes with a view and $303 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-26T04:08:41.130115 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 18 sales 0 500 1,000 1,500 2,000 1,679 1,749 Living area (SF), average

The average is 1,679 SF for homes with a view and 1,749 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-26T04:08:41.231840 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 18 sales 1980 1981 1982 1983 1984 1984 1982 Year built: median (dot) and middle half (bar)

The median is 1984 for homes with a view and 1982 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-10-26T04:08:41.250939 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 18 sales 0 20 40 49 24 Days on market, median

The median is 49 days for homes with a view and 24 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

2026-10-26T04:08:41.268977 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 18 sales 0.0% 5.0% 10.0% 11.1% 7.4% Discount from original list, average

The average is 11.1% for homes with a view and 7.4% 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

2026-10-26T04:08:41.287435 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 100 67 50 67 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 50% of homes without a view. Defined in 8.1.7.
  • 67% of homes with a view had the seller pay closing costs or repairs, against 67% 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 view18 salesAll21 sales
Net sale price average$614,667$521,405$534,728
Net price per SF average$369$303$312
Living area average1,6791,7491,739
Year built median198419821982

6.11 The numbers: selling

View3 salesNo view18 salesAll21 sales
Days on market median492431
Discount from original list average11.1%7.4%7.9%
Price cut before sale100%50%57%
Seller paid closing costs or repairs67%67%67%

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 Westcreek.
MeasureAverageMedian
Sales1
Net sale price$873,000$873,000
Net price per SF$372$372
Living area (SF)2,3452,345
Days on market8282
Discount from original list8.1%8.1%
Price cut before sale100% of sales
Seller paid closing costs or repairs100% of sales
Year built2025–2025

Same definitions as the rest of the study (section 8). New construction = NewConstructionYN true, or PropertyCondition “New Construction” or “Under Construction”.

8. AppendixMeasures, methods and tests

Each measure and method three ways: in plain words, as statistics, and with the data from this study.

8.1 Measures

8.1.1 Net sale price

In simple terms
What the seller actually kept: the closing price, less money the seller gave back to the buyer for closing costs or repairs. It is the truest price for comparing homes.
Statistically
Net = ClosePrice − ACTRIS_BuyersClsgCostPdbySell − ACTRIS_RepairsAmount (a blank counts as $0). Summarized by the arithmetic mean in the slices.
The data
21 resale sales. Average $534,728; median $521,250; standard deviation $86,559; middle half (25th–75th percentile) $479,900–$579,750; lowest $357,000, highest $676,000. 14 sales had a seller payment; their median payment was $9,115.

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
21 resale sales. Average $312; median $334; standard deviation $57; middle half (25th–75th percentile) $257–$353; lowest $214, highest $386.

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
21 resale sales. Average 1,739; median 1,795; standard deviation 267; middle half (25th–75th percentile) 1,465–1,910; lowest 1,321, highest 2,219.

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
21 resale sales. Average 1981; median 1982; standard deviation 2; middle half (25th–75th percentile) 1981–1982; lowest 1979, highest 1984.

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
21 resale sales. Average 56; median 31; standard deviation 63; middle half (25th–75th percentile) 13–73; lowest 5, highest 238. 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
21 resale sales. Average 7.9%; median 6.8%; standard deviation 5.7%; middle half (25th–75th percentile) 4.0%–12.6%; lowest −2.0%, highest 18.4%. 1 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
12 of 21 resale sales (57.1%).

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
14 of 21 resale sales (66.7%).

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, 18 without, 0 unclassified. Most common View entries: None 11, Neighborhood 9, Trees/Woods 2, Garden 1, Park/Greenbelt 1.

8.2 Methods

8.2.1 Data source

In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
Bridge Interactive RESO Web API (OData), ABOR dataset, every field returned. Filter: StandardStatus = Closed, PropertyType = Residential, City = Austin, SubdivisionName contains any of “westcreek” (case-insensitive). A record is kept when its subdivision name belongs to the Westcreek family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 22 closed Westcreek records over the prior year, in ZIP 78749. 11 subdivision spellings kept: Westcreek Ph 03 Sec 05 (4); Westcreek Sec 01 Amd (3); Westcreek Ph 03 Sec 04 (3); Westcreek Sec 02 (2); Westcreek Ph 03 Sec 02 (2); Westcreek (2); Westcreek Sec 10 Ph C (2); Westcreek Sec 05 (1); Westcreek Ph 03 Sec 01 (1); Westcreek Sec 10 Ph B (1); Westcreek Ph 03 Sec 03 (1). Names found by the search but not part of Westcreek, left out: Westcreek Landing Condo (3); Westcreek Ranch Condo Amd Ph (2); WESTCREEK PHS 3 SEC 1 (1).

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 13 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
22 single-family sales in the window: 21 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
21 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
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 $480K”.
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 $480K: $357,000–$476,500 (5 sales); $480K–$519K: $479,900–$519,000 (5 sales); $521K–$580K: $521,250–$579,750 (6 sales); Over $580K: $625,350–$676,000 (5 sales)
Quartiles by living area: Under 1,465 SF: 1,321–1,435 SF (5 sales); 1,465–1,789 SF: 1,465–1,789 SF (5 sales); 1,795–1,910 SF: 1,795–1,910 SF (6 sales); Over 1,910 SF: 1,932–2,219 SF (5 sales)
Quartiles by year built: Before 1981: 1979–1979 (5 sales); 1981: 1981–1981 (4 sales); 1982: 1982–1982 (7 sales); After 1982: 1983–1984 (5 sales)
View and no view: View: MLS lists a view (3 sales); No view: None or Neighborhood (18 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 $534,728, median $521,250. Days on market: average 56, median 31: 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
Quartiles by net sale price: m = 8, threshold p < 0.0063; Quartiles by living area: 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

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net price per SFKruskal–WallisH = 9.1530.0273p < 0.0063Unclearε² = 0.458large
Living areaKruskal–WallisH = 2.5230.4715p < 0.0063Unclearε² = 0.126medium
Year builtKruskal–WallisH = 0.8630.8361p < 0.0063Unclearε² = 0.043small
Days on marketKruskal–WallisH = 0.3430.9519p < 0.0063Unclearε² = 0.017small
Discount from original listKruskal–WallisH = 1.4830.6858p < 0.0063Unclearε² = 0.074medium
Price cut before saleChi-squareχ² = 0.1730.9815p < 0.0063UnclearCramér’s V = 0.091negligible
Seller paid closing costs or repairsChi-squareχ² = 1.6530.6481p < 0.0063UnclearCramér’s V = 0.280small
Has a viewChi-squareχ² = 4.6730.1979p < 0.0063UnclearCramér’s V = 0.471medium

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 1.5330.6762p < 0.0063Unclearε² = 0.076medium
Net price per SFKruskal–WallisH = 6.6430.0844p < 0.0063Unclearε² = 0.332large
Year builtKruskal–WallisH = 5.3030.1509p < 0.0063Unclearε² = 0.265large
Days on marketKruskal–WallisH = 1.8930.5947p < 0.0063Unclearε² = 0.095medium
Discount from original listKruskal–WallisH = 4.1830.2423p < 0.0063Unclearε² = 0.209large
Price cut before saleChi-squareχ² = 4.1230.2486p < 0.0063UnclearCramér’s V = 0.443medium
Seller paid closing costs or repairsChi-squareχ² = 4.8030.1870p < 0.0063UnclearCramér’s V = 0.478medium
Has a viewChi-squareχ² = 1.4030.7055p < 0.0063UnclearCramér’s V = 0.258small

8.3.3 Quartiles by year built

Too few sales in a group to test.

8.3.4 View and no view

Too few sales in a group to test.

8.4 Data notes

Left out of the analysis: 1 new-construction sales (basic statistics only, section 7); 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 21 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.