ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Westwood

Leander, TX 78641
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 · 5:23 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
18
single-family resale homes
Median net sale price
$325,700
average $324,324
Median net price per SF
$141
average $148
Median days on market
28 days
average 39 days
1. SummaryResale homes · 18 sales · October 26, 2025 – October 25, 2026

This study looks at the 18 resale homes sold in Westwood 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 sold18 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 $311K · 4 sales$311K–$320K · 5 sales$331K–$347K · 5 salesOver $347K · 4 sales
3. Quartiles by net sale priceResale homes · 18 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.

2026-10-26T05:24:03.150831 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 5 5 4 18 sales Sales per group Under $311K: 4 sales (22%) $311K–$320K: 5 sales (28%) $331K–$347K: 5 sales (28%) Over $347K: 4 sales (22%)
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

2026-10-26T05:24:03.178527 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $311K 4 sales $311K– $320K 5 sales $331K– $347K 5 sales Over $347K 4 sales $0 $100 $200 $168 $155 $137 $135 Net price per SF, average

The average is $135 per SF for homes over $347K and $168 per SF for homes under $311K. It falls 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

2026-10-26T05:24:03.200339 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $311K 4 sales $311K– $320K 5 sales $331K– $347K 5 sales Over $347K 4 sales 0 1,000 2,000 3,000 1,704 2,124 2,521 2,732 Living area (SF), average

The average is 2,732 SF for homes over $347K and 1,704 SF for homes under $311K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-10-26T05:24:03.223132 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $311K 4 sales $311K– $320K 5 sales $331K– $347K 5 sales Over $347K 4 sales 2002 2004 2006 2002 2004 2001 2004 Year built: median (dot) and middle half (bar)

The median is 2004 for homes over $347K and 2002 for homes under $311K. It does not move in a straight line; homes over $347K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-10-26T05:24:03.245022 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $311K 4 sales $311K– $320K 5 sales $331K– $347K 5 sales Over $347K 4 sales 0 20 40 60 12 6 45 63 Days on market, median

The median is 63 days for homes over $347K and 12 days for homes under $311K. It does not move in a straight line; homes over $347K are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-10-26T05:24:03.266992 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $311K 4 sales $311K– $320K 5 sales $331K– $347K 5 sales Over $347K 4 sales 0.0% 5.0% 10.0% 8.7% 3.7% 5.5% 3.8% Discount from original list, average

The average is 3.8% for homes over $347K and 8.7% for homes under $311K. It does not move in a straight line; homes under $311K 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

2026-10-26T05:24:03.296234 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 25 75 0 20 80 20 60 80 0 50 75 50 Under $311K $311K–$320K $331K–$347K Over $347K

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

  • 50% of homes over $347K had a price cut before sale, against 25% of homes under $311K. Defined in 8.1.7.
  • 75% of homes over $347K had the seller pay closing costs or repairs, against 75% of homes under $311K. Defined in 8.1.8.
  • 50% of homes over $347K have a view, against 0% of homes under $311K. 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 $311K4 sales$311K–$320K5 sales$331K–$347K5 salesOver $347K4 salesAll18 sales
Net sale price average$276,071$315,852$340,407$363,061$324,324
Net price per SF average$168$155$137$135$148
Living area average1,7042,1242,5212,7322,276
Year built median20022004200120042002

3.10 The numbers: selling

Under $311K4 sales$311K–$320K5 sales$331K–$347K5 salesOver $347K4 salesAll18 sales
Days on market median126456328
Discount from original list average8.7%3.7%5.5%3.8%5.3%
Price cut before sale25%20%60%50%39%
Seller paid closing costs or repairs75%80%80%75%78%
Has a view0%20%0%50%17%

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 · 18 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.

2026-10-26T05:24:03.316203 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 5 5 4 18 sales Sales per group Under 1,761 SF: 4 sales (22%) 1,761–2,267 SF: 5 sales (28%) 2,282–2,688 SF: 5 sales (28%) Over 2,688 SF: 4 sales (22%)
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

2026-10-26T05:24:03.335899 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,761 SF 4 sales 1,761– 2,267 SF 5 sales 2,282– 2,688 SF 5 sales Over 2,688 SF 4 sales $0K $200K $400K $299K $316K $330K $352K Net sale price, average

The average is $352K for homes over 2,688 SF and $299K for homes under 1,761 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

Not tested: too few sales.

4.4 Net price per SF: described, not tested

2026-10-26T05:24:03.357821 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,761 SF 4 sales 1,761– 2,267 SF 5 sales 2,282– 2,688 SF 5 sales Over 2,688 SF 4 sales $0 $100 $200 $193 $150 $135 $119 Net price per SF, average

The average is $119 per SF for homes over 2,688 SF and $193 per SF for homes under 1,761 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-10-26T05:24:03.379737 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,761 SF 4 sales 1,761– 2,267 SF 5 sales 2,282– 2,688 SF 5 sales Over 2,688 SF 4 sales 2002 2004 2006 2004 2002 2001 2002 Year built: median (dot) and middle half (bar)

The median is 2002 for homes over 2,688 SF and 2004 for homes under 1,761 SF. It does not move in a straight line; homes under 1,761 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-10-26T05:24:03.401676 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,761 SF 4 sales 1,761– 2,267 SF 5 sales 2,282– 2,688 SF 5 sales Over 2,688 SF 4 sales 0 20 40 60 12 17 20 66 Days on market, median

The median is 66 days for homes over 2,688 SF and 12 days for homes under 1,761 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-10-26T05:24:03.423897 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,761 SF 4 sales 1,761– 2,267 SF 5 sales 2,282– 2,688 SF 5 sales Over 2,688 SF 4 sales 0.0% 2.5% 5.0% 7.5% 1.6% 7.5% 5.2% 6.6% Discount from original list, average

The average is 6.6% for homes over 2,688 SF and 1.6% for homes under 1,761 SF. It does not move in a straight line; homes 1,761–2,267 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

2026-10-26T05:24:03.450708 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% 0 75 0 20 80 20 40 60 40 100 100 0 Under 1,761 SF 1,761–2,267 SF 2,282–2,688 SF Over 2,688 SF

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

  • 100% of homes over 2,688 SF had a price cut before sale, against 0% of homes under 1,761 SF. Defined in 8.1.7.
  • 100% of homes over 2,688 SF had the seller pay closing costs or repairs, against 75% of homes under 1,761 SF. Defined in 8.1.8.
  • 0% of homes over 2,688 SF have a view, against 0% of homes under 1,761 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 1,761 SF4 sales1,761–2,267 SF5 sales2,282–2,688 SF5 salesOver 2,688 SF4 salesAll18 sales
Net sale price average$299,312$315,844$330,342$352,411$324,324
Net price per SF average$193$150$135$119$148
Living area average1,5522,1272,4582,9592,276
Year built median20042002200120022002

4.10 The numbers: selling

Under 1,761 SF4 sales1,761–2,267 SF5 sales2,282–2,688 SF5 salesOver 2,688 SF4 salesAll18 sales
Days on market median1217206628
Discount from original list average1.6%7.5%5.2%6.6%5.3%
Price cut before sale0%20%40%100%39%
Seller paid closing costs or repairs75%80%60%100%78%
Has a view0%20%40%0%17%

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 · 18 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.

2026-10-26T05:24:03.470152 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 8 3 3 4 18 sales Sales per group Before 2002: 8 sales (44%) 2002: 3 sales (17%) 2004: 3 sales (17%) After 2004: 4 sales (22%)
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

2026-10-26T05:24:03.490633 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2002 8 sales 2002 3 sales 2004 3 sales After 2004 4 sales $0K $100K $200K $300K $400K $319K $341K $308K $336K Net sale price, average

The average is $336K for homes built after 2004 and $319K for homes built before 2002. It does not move in a straight line; homes built 2002 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T05:24:03.513690 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2002 8 sales 2002 3 sales 2004 3 sales After 2004 4 sales $0 $50 $100 $150 $200 $138 $137 $171 $161 Net price per SF, average

The average is $161 per SF for homes built after 2004 and $138 per SF for homes built before 2002. It does not move in a straight line; homes built 2004 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T05:24:03.534700 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2002 8 sales 2002 3 sales 2004 3 sales After 2004 4 sales 0 1,000 2,000 3,000 2,368 2,524 1,918 2,175 Living area (SF), average

The average is 2,175 SF for homes built after 2004 and 2,368 SF for homes built before 2002. It does not move in a straight line; homes built 2002 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T05:24:03.555450 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2002 8 sales 2002 3 sales 2004 3 sales After 2004 4 sales 0 50 100 28 12 107 30 Days on market, median

The median is 30 days for homes built after 2004 and 28 days for homes built before 2002. It does not move in a straight line; homes built 2004 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T05:24:03.577774 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2002 8 sales 2002 3 sales 2004 3 sales After 2004 4 sales 0.0% 2.0% 4.0% 6.0% 8.0% 7.9% 2.2% 2.0% 5.1% Discount from original list, average

The average is 5.1% for homes built after 2004 and 7.9% for homes built before 2002. It does not move in a straight line; homes built before 2002 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

2026-10-26T05:24:03.602788 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 75 12 33 100 33 33 67 0 25 75 25 Before 2002 2002 2004 After 2004

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

  • 25% of homes built after 2004 had a price cut before sale, against 50% of homes built before 2002. Defined in 8.1.7.
  • 75% of homes built after 2004 had the seller pay closing costs or repairs, against 75% of homes built before 2002. Defined in 8.1.8.
  • 25% of homes built after 2004 have a view, against 12% of homes built before 2002. 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 20028 sales20023 sales20043 salesAfter 20044 salesAll18 sales
Net sale price average$318,510$340,832$307,882$335,900$324,324
Net price per SF average$138$137$171$161$148
Living area average2,3682,5241,9182,1752,276
Year built median20012002200420082002

5.10 The numbers: selling

Before 20028 sales20023 sales20043 salesAfter 20044 salesAll18 sales
Days on market median28121073028
Discount from original list average7.9%2.2%2.0%5.1%5.3%
Price cut before sale50%33%33%25%39%
Seller paid closing costs or repairs75%100%67%75%78%
Has a view12%33%0%25%17%

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 · 18 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.

2026-10-26T05:24:03.620738 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 14 17 sales Sales per group View: 3 sales (18%) No view: 14 sales (82%)
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

2026-10-26T05:24:03.636894 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 14 sales $0K $100K $200K $300K $400K $345K $328K Net sale price, average

The average is $345K for homes with a view and $328K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-26T05:24:03.654423 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 14 sales $0 $50 $100 $150 $144 $153 Net price per SF, average

The average is $144 per SF for homes with a view and $153 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-26T05:24:03.672578 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 14 sales 0 1,000 2,000 2,404 2,258 Living area (SF), average

The average is 2,404 SF for homes with a view and 2,258 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-26T05:24:03.711746 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 14 sales 2001 2002 2003 2004 2002 2002 Year built: median (dot) and middle half (bar)

The median is 2002 for homes with a view and 2002 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-10-26T05:24:03.729721 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 14 sales 0 10 20 30 40 20 40 Days on market, median

The median is 20 days for homes with a view and 40 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

2026-10-26T05:24:03.748016 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 14 sales 0.0% 2.0% 4.0% 3.7% 4.3% Discount from original list, average

The average is 3.7% for homes with a view and 4.3% 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

2026-10-26T05:24:03.765773 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 0 67 43 79 View No view

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

  • 0% of homes with a view had a price cut before sale, against 43% 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 79% 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 view14 salesAll17 sales
Net sale price average$344,783$327,535$330,579
Net price per SF average$144$153$151
Living area average2,4042,2582,283
Year built median200220022002

6.11 The numbers: selling

View3 salesNo view14 salesAll17 sales
Days on market median204036
Discount from original list average3.7%4.3%4.2%
Price cut before sale0%43%35%
Seller paid closing costs or repairs67%79%76%

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

7. New constructionBasic statistics · 0 sales · October 26, 2025 – October 25, 2026

Homes sold new by the builder in the same 365 days. They are left out of every other section and shown here as basic figures only: 0 sales, no groups, no tests.

Note: these are only the new-construction sales reported in ABOR MLS. Builders often sell homes without listing them in the MLS, so these figures do not necessarily represent all new-construction sales in Westwood.

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
18 resale sales. Average $324,324; median $325,700; standard deviation $36,203; middle half (25th–75th percentile) $311,425–$346,301; lowest $217,985, highest $372,000. 14 sales had a seller payment; their median payment was $5,000.

8.1.2 Net price per SF

In simple terms
Net sale price divided by the heated and cooled square feet. It puts homes of different sizes on the same footing: did buyers pay more for each square foot, not just for more square feet?
Statistically
psf = Net ÷ LivingArea, per sale; summarized by the mean of the per-sale ratios.
The data
18 resale sales. Average $148; median $141; standard deviation $31; middle half (25th–75th percentile) $123–$175; lowest $101, highest $201.

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
18 resale sales. Average 2,276; median 2,274; standard deviation 524; middle half (25th–75th percentile) 1,859–2,675; lowest 1,493, highest 3,085.

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
18 resale sales. Average 2003; median 2002; standard deviation 3; middle half (25th–75th percentile) 2001–2004; lowest 2001, highest 2009.

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
18 resale sales. Average 39; median 28; standard deviation 36; middle half (25th–75th percentile) 8–59; lowest 4, highest 120. 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
18 resale sales. Average 5.3%; median 4.4%; standard deviation 6.1%; middle half (25th–75th percentile) 2.4%–6.3%; lowest −3.6%, highest 24.8%. 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
7 of 18 resale sales (38.9%).

8.1.8 Seller paid closing costs or repairs

In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
14 of 18 resale sales (77.8%).

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, 14 without, 1 unclassified. Most common View entries: None 11, Neighborhood 4, Park/Greenbelt 2, Trees/Woods 1, See Remarks 1.

8.2 Methods

8.2.1 Data source

In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
Bridge Interactive RESO Web API (OData), ABOR dataset, every field returned. Filter: StandardStatus = Closed, PropertyType = Residential, City = Leander, SubdivisionName contains any of “westwood”, “west wood” (case-insensitive). A record is kept when its subdivision name belongs to the Westwood family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 18 closed Westwood records over the prior year, in ZIP 78641. 9 subdivision spellings kept: Westwood Sec 02 (4); Westwood Sec 01 (4); Westwood Sec 04 (3); Westwood Sec 07 (2); Westwood Sec 3 (1); Westwood Sec 03 (1); Westwood (1); Westwood Sec 06 (1); Westwood Sec I (1). No other names were found by the search.

8.2.2 Study window

In simple terms
The most recent 365 days of closed sales: recent enough to describe today's market, long enough to give each group plenty of sales. The usual window is 180 days; it holds only 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
18 single-family sales in the window: 18 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
18 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 $311K”.
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 $311K: $217,985–$308,000 (4 sales); $311K–$320K: $310,950–$320,000 (5 sales); $331K–$347K: $331,400–$346,735 (5 sales); Over $347K: $349,500–$372,000 (4 sales)
Quartiles by living area: Under 1,761 SF: 1,493–1,650 SF (4 sales); 1,761–2,267 SF: 1,761–2,267 SF (5 sales); 2,282–2,688 SF: 2,282–2,688 SF (5 sales); Over 2,688 SF: 2,691–3,085 SF (4 sales)
Quartiles by year built: Before 2002: 2001–2001 (8 sales); 2002: 2002–2002 (3 sales); 2004: 2004–2004 (3 sales); After 2004: 2007–2009 (4 sales)
View and no view: View: MLS lists a view (3 sales); No view: None or Neighborhood (14 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 $324,324, median $325,700. Days on market: average 39, median 28: 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 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: 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 18 closed MLS resale sales; the 0 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled October 26, 2026. Map data © OpenStreetMap contributors. ALEX Companies · Licensed by the Texas Real Estate Commission · Broker: Alexander Tiffany Southwest, LLC (ALEX Real Estate), #565194-BB · Diane Hart Alexander, Designated Broker, #574877-B.