ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Round Rock West

Round Rock, TX 78681
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 · 5:45 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
27
single-family resale homes
Median net sale price
$449,600
average $464,338
Median net price per SF
$220
average $219
Median days on market
16 days
average 51 days
1. SummaryResale homes · 27 sales · October 26, 2025 – October 25, 2026

This study looks at the 27 resale homes sold in Round Rock West in the 365 days to October 25, 2026. A full year is used because only 14 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 sold27 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 $417K · 7 sales$417K–$450K · 7 sales$468K–$482K · 6 salesOver $482K · 7 sales
3. Quartiles by net sale priceResale homes · 27 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.

2026-10-26T05:45:28.066515 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 7 7 6 7 27 sales Sales per group Under $417K: 7 sales (26%) $417K–$450K: 7 sales (26%) $468K–$482K: 6 sales (22%) Over $482K: 7 sales (26%)
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 $417K$417K–$450K$468K–$482KOver $482KReal difference?
Net price per SF$209 per SF$214 per SF$230 per SF$222 per SFunclear
Living area1,917 SF2,063 SF2,084 SF2,537 SFunclear
Year built1981197619791978unclear
Days on market44 days49 days16 days9 daysunclear
Discount from original list7.3%6.0%3.9%3.0%unclear
Price cut before sale43%43%33%14%unclear
Seller paid closing costs or repairs71%86%50%86%unclear
Has a view43%14%33%57%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

2026-10-26T05:45:28.095013 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $417K 7 sales $417K– $450K 7 sales $468K– $482K 6 sales Over $482K 7 sales $0 $100 $200 $209 $214 $230 $222 Net price per SF, average

The average is $222 per SF for homes over $482K and $209 per SF for homes under $417K. It does not move in a straight line; homes $468K–$482K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Living area: no clear difference

2026-10-26T05:45:28.117098 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $417K 7 sales $417K– $450K 7 sales $468K– $482K 6 sales Over $482K 7 sales 0 1,000 2,000 3,000 1,917 2,063 2,084 2,537 Living area (SF), average

The average is 2,537 SF for homes over $482K and 1,917 SF for homes under $417K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

– No clear difference · could be chance

3.5 Year built: no clear difference

2026-10-26T05:45:28.141068 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $417K 7 sales $417K– $450K 7 sales $468K– $482K 6 sales Over $482K 7 sales 1976 1978 1980 1982 1981 1976 1979 1978 Year built: median (dot) and middle half (bar)

The median is 1978 for homes over $482K and 1981 for homes under $417K. It does not move in a straight line; homes under $417K are highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-10-26T05:45:28.163624 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $417K 7 sales $417K– $450K 7 sales $468K– $482K 6 sales Over $482K 7 sales 0 20 40 44 49 16 9 Days on market, median

The median is 9 days for homes over $482K and 44 days for homes under $417K. It does not move in a straight line; homes $417K–$450K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-26T05:45:28.185573 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $417K 7 sales $417K– $450K 7 sales $468K– $482K 6 sales Over $482K 7 sales 0.0% 2.5% 5.0% 7.5% 7.3% 6.0% 3.9% 3.0% Discount from original list, average

The average is 3.0% for homes over $482K and 7.3% for homes under $417K. It falls step by step from the lowest range to the 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

2026-10-26T05:45:28.216212 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% 43 71 43 43 86 14 33 50 33 14 86 57 Under $417K $417K–$450K $468K–$482K Over $482K

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

  • 14% of homes over $482K had a price cut before sale, against 43% of homes under $417K. Defined in 8.1.7.
  • 86% of homes over $482K had the seller pay closing costs or repairs, against 71% of homes under $417K. Defined in 8.1.8.
  • 57% of homes over $482K have a view, against 43% of homes under $417K. 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 $417K7 sales$417K–$450K7 sales$468K–$482K6 salesOver $482K7 salesAll27 salesReal difference?
Net sale price average$385,126$434,557$475,067$564,133$464,338by design
Net price per SF average$209$214$230$222$219unclear
Living area average1,9172,0632,0842,5372,153unclear
Year built median19811976197919781978unclear

3.10 The numbers: selling

Under $417K7 sales$417K–$450K7 sales$468K–$482K6 salesOver $482K7 salesAll27 salesReal difference?
Days on market median444916916unclear
Discount from original list average7.3%6.0%3.9%3.0%5.1%unclear
Price cut before sale43%43%33%14%33%unclear
Seller paid closing costs or repairs71%86%50%86%74%unclear
Has a view43%14%33%57%37%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 · 27 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.

2026-10-26T05:45:28.237513 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 7 7 6 7 27 sales Sales per group Under 1,970 SF: 7 sales (26%) 1,970–2,153 SF: 7 sales (26%) 2,179–2,408 SF: 6 sales (22%) Over 2,408 SF: 7 sales (26%)
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 1,970 SF1,970–2,153 SF2,179–2,408 SFOver 2,408 SFReal difference?
Net sale price$417K$456K$447K$536Kunclear
Net price per SF$247 per SF$221 per SF$197 per SF$206 per SFunclear
Year built1981197819761978unclear
Days on market83 days16 days12 days16 daysunclear
Discount from original list6.5%2.7%6.1%5.2%unclear
Price cut before sale43%29%33%29%unclear
Seller paid closing costs or repairs57%86%67%86%unclear
Has a view43%43%17%43%unclear

4.3 Net sale price: no clear difference

2026-10-26T05:45:28.258348 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,970 SF 7 sales 1,970– 2,153 SF 7 sales 2,179– 2,408 SF 6 sales Over 2,408 SF 7 sales $0K $200K $400K $600K $417K $456K $447K $536K Net sale price, average

The average is $536K for homes over 2,408 SF and $417K for homes under 1,970 SF. It does not move in a straight line; homes over 2,408 SF are highest. Defined in 8.1.1.

– No clear difference · could be chance

4.4 Net price per SF: no clear difference

2026-10-26T05:45:28.282333 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,970 SF 7 sales 1,970– 2,153 SF 7 sales 2,179– 2,408 SF 6 sales Over 2,408 SF 7 sales $0 $100 $200 $247 $221 $197 $206 Net price per SF, average

The average is $206 per SF for homes over 2,408 SF and $247 per SF for homes under 1,970 SF. It does not move in a straight line; homes under 1,970 SF are highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-10-26T05:45:28.306046 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,970 SF 7 sales 1,970– 2,153 SF 7 sales 2,179– 2,408 SF 6 sales Over 2,408 SF 7 sales 1976 1978 1980 1982 1981 1978 1976 1978 Year built: median (dot) and middle half (bar)

The median is 1978 for homes over 2,408 SF and 1981 for homes under 1,970 SF. It does not move in a straight line; homes under 1,970 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-10-26T05:45:28.328789 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,970 SF 7 sales 1,970– 2,153 SF 7 sales 2,179– 2,408 SF 6 sales Over 2,408 SF 7 sales 0 25 50 75 83 16 12 16 Days on market, median

The median is 16 days for homes over 2,408 SF and 83 days for homes under 1,970 SF. It does not move in a straight line; homes under 1,970 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-26T05:45:28.352829 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,970 SF 7 sales 1,970– 2,153 SF 7 sales 2,179– 2,408 SF 6 sales Over 2,408 SF 7 sales 0.0% 2.0% 4.0% 6.0% 6.5% 2.7% 6.1% 5.2% Discount from original list, average

The average is 5.2% for homes over 2,408 SF and 6.5% for homes under 1,970 SF. It does not move in a straight line; homes under 1,970 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

2026-10-26T05:45:28.387306 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% 43 57 43 29 86 43 33 67 17 29 86 43 Under 1,970 SF 1,970–2,153 SF 2,179–2,408 SF Over 2,408 SF

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

  • 29% of homes over 2,408 SF had a price cut before sale, against 43% of homes under 1,970 SF. Defined in 8.1.7.
  • 86% of homes over 2,408 SF had the seller pay closing costs or repairs, against 57% of homes under 1,970 SF. Defined in 8.1.8.
  • 43% of homes over 2,408 SF have a view, against 43% of homes under 1,970 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 1,970 SF7 sales1,970–2,153 SF7 sales2,179–2,408 SF6 salesOver 2,408 SF7 salesAll27 salesReal difference?
Net sale price average$416,747$455,771$446,730$535,586$464,338unclear
Net price per SF average$247$221$197$206$219unclear
Living area average1,7022,0642,2692,5912,153by design
Year built median19811978197619781978unclear

4.10 The numbers: selling

Under 1,970 SF7 sales1,970–2,153 SF7 sales2,179–2,408 SF6 salesOver 2,408 SF7 salesAll27 salesReal difference?
Days on market median8316121616unclear
Discount from original list average6.5%2.7%6.1%5.2%5.1%unclear
Price cut before sale43%29%33%29%33%unclear
Seller paid closing costs or repairs57%86%67%86%74%unclear
Has a view43%43%17%43%37%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 · 27 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.

2026-10-26T05:45:28.413372 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 8 8 4 7 27 sales Sales per group Before 1977: 8 sales (30%) 1977–1978: 8 sales (30%) 1979–1980: 4 sales (15%) After 1980: 7 sales (26%)
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

2026-10-26T05:45:28.438823 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1977 8 sales 1977– 1978 8 sales 1979– 1980 4 sales After 1980 7 sales $0K $200K $400K $600K $472K $470K $518K $420K Net sale price, average

The average is $420K for homes built after 1980 and $472K for homes built before 1977. It does not move in a straight line; homes built 1979–1980 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T05:45:28.469229 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1977 8 sales 1977– 1978 8 sales 1979– 1980 4 sales After 1980 7 sales $0 $100 $200 $215 $198 $233 $238 Net price per SF, average

The average is $238 per SF for homes built after 1980 and $215 per SF for homes built before 1977. It does not move in a straight line; homes built after 1980 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T05:45:28.497372 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1977 8 sales 1977– 1978 8 sales 1979– 1980 4 sales After 1980 7 sales 0 1,000 2,000 2,206 2,376 2,238 1,788 Living area (SF), average

The average is 1,788 SF for homes built after 1980 and 2,206 SF for homes built before 1977. It does not move in a straight line; homes built 1977–1978 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T05:45:28.524768 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1977 8 sales 1977– 1978 8 sales 1979– 1980 4 sales After 1980 7 sales 0 25 50 75 26 13 16 83 Days on market, median

The median is 83 days for homes built after 1980 and 26 days for homes built before 1977. It does not move in a straight line; homes built after 1980 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T05:45:28.555240 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1977 8 sales 1977– 1978 8 sales 1979– 1980 4 sales After 1980 7 sales 0.0% 2.5% 5.0% 7.5% 4.0% 5.4% 2.3% 7.5% Discount from original list, average

The average is 7.5% for homes built after 1980 and 4.0% for homes built before 1977. It does not move in a straight line; homes built after 1980 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

2026-10-26T05:45:28.587755 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% 38 88 0 25 75 50 0 75 25 57 57 71 Before 1977 1977–1978 1979–1980 After 1980

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

  • 57% of homes built after 1980 had a price cut before sale, against 38% of homes built before 1977. Defined in 8.1.7.
  • 57% of homes built after 1980 had the seller pay closing costs or repairs, against 88% of homes built before 1977. Defined in 8.1.8.
  • 71% of homes built after 1980 have a view, against 0% of homes built before 1977. 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 19778 sales1977–19788 sales1979–19804 salesAfter 19807 salesAll27 sales
Net sale price average$471,766$469,519$517,500$419,547$464,338
Net price per SF average$215$198$233$238$219
Living area average2,2062,3762,2381,7882,153
Year built median19751978198019821978

5.10 The numbers: selling

Before 19778 sales1977–19788 sales1979–19804 salesAfter 19807 salesAll27 sales
Days on market median2613168316
Discount from original list average4.0%5.4%2.3%7.5%5.1%
Price cut before sale38%25%0%57%33%
Seller paid closing costs or repairs88%75%75%57%74%
Has a view0%50%25%71%37%

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 · 27 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. 2 sales whose MLS view entry is only “See Remarks” are left out.

2026-10-26T05:45:28.611786 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 10 15 25 sales Sales per group View: 10 sales (40%) No view: 15 sales (60%)
Bottom line: no measure differs enough between the groups to rule out chance.

6.1 Key differences

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

6.2 At a glance

Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.

ViewNo viewReal difference?
Net sale price$478K$454Kunclear
Net price per SF$234 per SF$207 per SFunclear
Living area2,076 SF2,204 SFunclear
Year built19801977unclear
Days on market30 days19 daysunclear
Discount from original list6.1%5.0%unclear
Price cut before sale40%33%unclear
Seller paid closing costs or repairs70%80%unclear

6.3 Net sale price: no clear difference

2026-10-26T05:45:28.633124 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 10 sales No view 15 sales $0K $200K $400K $478K $454K Net sale price, average

The average is $478K for homes with a view and $454K for homes without a view. Defined in 8.1.1.

– No clear difference · could be chance

6.4 Net price per SF: no clear difference

2026-10-26T05:45:28.656028 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 10 sales No view 15 sales $0 $100 $200 $234 $207 Net price per SF, average

The average is $234 per SF for homes with a view and $207 per SF for homes without a view. Defined in 8.1.2.

– No clear difference · could be chance

6.5 Living area: no clear difference

2026-10-26T05:45:28.722424 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 10 sales No view 15 sales 0 1,000 2,000 2,076 2,204 Living area (SF), average

The average is 2,076 SF for homes with a view and 2,204 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-26T05:45:28.747145 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 10 sales No view 15 sales 1976 1978 1980 1982 1980 1977 Year built: median (dot) and middle half (bar)

The median is 1980 for homes with a view and 1977 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-26T05:45:28.770161 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 10 sales No view 15 sales 0 10 20 30 30 19 Days on market, median

The median is 30 days for homes with a view and 19 days for homes without a view. Defined in 8.1.5.

– No clear difference · could be chance

6.8 Discount from original list: no clear difference

2026-10-26T05:45:28.794541 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 10 sales No view 15 sales 0.0% 2.0% 4.0% 6.0% 6.1% 5.0% Discount from original list, average

The average is 6.1% for homes with a view and 5.0% for homes without a view. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-10-26T05:45:28.819485 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 40 70 33 80 View No view

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

  • 40% of homes with a view had a price cut before sale, against 33% of homes without a view. Defined in 8.1.7.
  • 70% of homes with a view had the seller pay closing costs or repairs, against 80% of homes without a view. Defined in 8.1.8.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance

6.10 The numbers: price and size

View10 salesNo view15 salesAll25 salesReal difference?
Net sale price average$477,860$453,534$463,265unclear
Net price per SF average$234$207$218unclear
Living area average2,0762,2042,153unclear
Year built median198019771978unclear

6.11 The numbers: selling

View10 salesNo view15 salesAll25 salesReal difference?
Days on market median301919unclear
Discount from original list average6.1%5.0%5.5%unclear
Price cut before sale40%33%36%unclear
Seller paid closing costs or repairs70%80%76%unclear

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

7. New constructionBasic statistics · 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 Round Rock West.

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
27 resale sales. Average $464,338; median $449,600; standard deviation $80,481; middle half (25th–75th percentile) $414,250–$483,750; lowest $333,653, highest $695,000. 20 sales had a seller payment; their median payment was $6,884.

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
27 resale sales. Average $219; median $220; standard deviation $33; middle half (25th–75th percentile) $205–$230; lowest $145, highest $284.

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
27 resale sales. Average 2,153; median 2,153; standard deviation 363; middle half (25th–75th percentile) 1,936–2,429; lowest 1,450, highest 3,008.

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
27 resale sales. Average 1978; median 1978; standard deviation 3; middle half (25th–75th percentile) 1976–1980; lowest 1975, 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
27 resale sales. Average 51; median 16; standard deviation 70; middle half (25th–75th percentile) 6–76; lowest 0, highest 318. 1 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
27 resale sales. Average 5.1%; median 3.6%; standard deviation 4.7%; middle half (25th–75th percentile) 2.2%–9.7%; lowest −2.6%, highest 13.6%. 3 sales closed above their first asking price.

8.1.7 Price cut before sale

In simple terms
The asking price was lowered at least once before the home went under contract.
Statistically
Indicator: ListPrice at close < OriginalListPrice. Reported as the share of sales (%).
The data
9 of 27 resale sales (33.3%).

8.1.8 Seller paid closing costs or repairs

In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
20 of 27 resale sales (74.1%).

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
10 sales with a view, 15 without, 2 unclassified. Most common View entries: Neighborhood 9, None 9, Creek/Stream 4, Pond 3, Trees/Woods 3, Park/Greenbelt 2, Pool 2, See Remarks 2.

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 = Round Rock, SubdivisionName contains any of “round rock west” (case-insensitive). A record is kept when its subdivision name belongs to the Round Rock West family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 27 closed Round Rock West records over the prior year, in ZIP 78681. 9 subdivision spellings kept: Round Rock West Sec 05 (6); Round Rock West (6); Round Rock West Sec 01 (4); Round Rock West Sec 06A (3); Round Rock West Sec 04 (3); Round Rock West Sec 06-A (2); Round Rock West Sec 02 (1); Round Rock West Sec 06b (1); Round Rock West Sec 06B (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 14 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
27 single-family sales in the window: 27 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
27 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 $417K”.
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 $417K: $333,653–$411,500 (7 sales); $417K–$450K: $417,000–$449,600 (7 sales); $468K–$482K: $467,900–$482,000 (6 sales); Over $482K: $485,500–$695,000 (7 sales)
Quartiles by living area: Under 1,970 SF: 1,450–1,903 SF (7 sales); 1,970–2,153 SF: 1,970–2,153 SF (7 sales); 2,179–2,408 SF: 2,179–2,408 SF (6 sales); Over 2,408 SF: 2,450–3,008 SF (7 sales)
Quartiles by year built: Before 1977: 1975–1976 (8 sales); 1977–1978: 1977–1978 (8 sales); 1979–1980: 1979–1980 (4 sales); After 1980: 1981–1984 (7 sales)
View and no view: View: MLS lists a view (10 sales); No view: None or Neighborhood (15 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 $464,338, median $449,600. Days on market: average 51, median 16: 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; View and no view: m = 8, threshold p < 0.0063

8.2.11 Size of a difference

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

8.2.12 Rounding in the text

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

8.3 Test results

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

8.3.1 Quartiles by net sale price

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net price per SFKruskal–WallisH = 1.3230.7241p < 0.0063Unclearε² = 0.051small
Living areaKruskal–WallisH = 11.8130.0081p < 0.0063Unclearε² = 0.454large
Year builtKruskal–WallisH = 8.0830.0443p < 0.0063Unclearε² = 0.311large
Days on marketKruskal–WallisH = 5.0730.1668p < 0.0063Unclearε² = 0.195large
Discount from original listKruskal–WallisH = 2.9430.4004p < 0.0063Unclearε² = 0.113medium
Price cut before saleChi-squareχ² = 1.7130.6338p < 0.0063UnclearCramér’s V = 0.252small
Seller paid closing costs or repairsChi-squareχ² = 2.8230.4196p < 0.0063UnclearCramér’s V = 0.323medium
Has a viewChi-squareχ² = 2.9030.4066p < 0.0063UnclearCramér’s V = 0.328medium

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 8.9330.0302p < 0.0063Unclearε² = 0.344large
Net price per SFKruskal–WallisH = 6.4830.0904p < 0.0063Unclearε² = 0.249large
Year builtKruskal–WallisH = 6.9130.0749p < 0.0063Unclearε² = 0.266large
Days on marketKruskal–WallisH = 1.6030.6592p < 0.0063Unclearε² = 0.062medium
Discount from original listKruskal–WallisH = 2.2730.5176p < 0.0063Unclearε² = 0.087medium
Price cut before saleChi-squareχ² = 0.4330.9343p < 0.0063UnclearCramér’s V = 0.126small
Seller paid closing costs or repairsChi-squareχ² = 2.2030.5311p < 0.0063UnclearCramér’s V = 0.286small
Has a viewChi-squareχ² = 1.3730.7119p < 0.0063UnclearCramér’s V = 0.225small

8.3.3 Quartiles by year built

Too few sales in a group to test.

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 94.50—0.2918p < 0.0063Unclearrank-biserial r = 0.260small
Net price per SFMann–Whitney UU = 102.00—0.1416p < 0.0063Unclearrank-biserial r = 0.360medium
Living areaMann–Whitney UU = 69.00—0.7603p < 0.0063Unclearrank-biserial r = 0.080negligible
Year builtMann–Whitney UU = 120.50—0.0117p < 0.0063Unclearrank-biserial r = 0.607large
Days on marketMann–Whitney UU = 82.50—0.6975p < 0.0063Unclearrank-biserial r = 0.100small
Discount from original listMann–Whitney UU = 88.00—0.4881p < 0.0063Unclearrank-biserial r = 0.173small
Price cut before saleChi-squareχ² = 0.1210.7337p < 0.0063UnclearCramér’s V = 0.068negligible
Seller paid closing costs or repairsChi-squareχ² = 0.3310.5663p < 0.0063UnclearCramér’s V = 0.115small

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 27 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.