ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Vista Oaks Sec 3 B

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 · 5:46 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
$470,000
average $488,750
Median net price per SF
$202
average $203
Median days on market
13 days
average 44 days
1. SummaryResale homes · 21 sales · October 26, 2025 – October 25, 2026

This study looks at the 21 resale homes sold in Vista Oaks Sec 3 B 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 $416K · 5 sales$416K–$448K · 5 sales$470K–$570K · 6 salesOver $570K · 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.

2026-10-26T05:46:37.455578 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 6 5 21 sales Sales per group Under $416K: 5 sales (24%) $416K–$448K: 5 sales (24%) $470K–$570K: 6 sales (29%) Over $570K: 5 sales (24%)
Bottom line

3.1 Key differences

The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.

Under $416K$416K–$448K$470K–$570KOver $570K
Higher-priced homes Over $570K
  • Are much larger.
Lower-priced homes Under $416K
  • Are much smaller.

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 $416K$416K–$448K$470K–$570KOver $570KReal difference?
Net price per SF$210 per SF$203 per SF$209 per SF$188 per SFunclear
Living area1,863 SFSmallest2,137 SF2,448 SF3,461 SFLargest✓ large
Year built1996199419971999unclear
Days on market50 days11 days12 days19 daysunclear
Discount from original list6.3%3.2%2.5%3.4%unclear
Price cut before sale40%40%17%20%unclear
Seller paid closing costs or repairs40%60%33%60%unclear
Has a view0%20%17%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

2026-10-26T05:46:37.483639 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $416K 5 sales $416K– $448K 5 sales $470K– $570K 6 sales Over $570K 5 sales $0 $100 $200 $210 $203 $209 $188 Net price per SF, average

The average is $188 per SF for homes over $570K and $210 per SF for homes under $416K. It does not move in a straight line; homes under $416K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Homes over $570K are about 1,600 SF (86%) larger than homes under $416K

2026-10-26T05:46:37.505580 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $416K 5 sales $416K– $448K 5 sales $470K– $570K 6 sales Over $570K 5 sales 0 2,000 4,000 1,863 2,137 2,448 3,461 Living area (SF), average

The average is 3,461 SF for homes over $570K and 1,863 SF for homes under $416K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

✓ Real difference · large

3.5 Year built: no clear difference

2026-10-26T05:46:37.529341 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $416K 5 sales $416K– $448K 5 sales $470K– $570K 6 sales Over $570K 5 sales 1994 1996 1998 2000 1996 1994 1997 1999 Year built: median (dot) and middle half (bar)

The median is 1999 for homes over $570K and 1996 for homes under $416K. It does not move in a straight line; homes over $570K are highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-10-26T05:46:37.552926 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $416K 5 sales $416K– $448K 5 sales $470K– $570K 6 sales Over $570K 5 sales 0 20 40 60 50 11 12 19 Days on market, median

The median is 19 days for homes over $570K and 50 days for homes under $416K. It does not move in a straight line; homes under $416K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-26T05:46:37.574773 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $416K 5 sales $416K– $448K 5 sales $470K– $570K 6 sales Over $570K 5 sales 0.0% 2.0% 4.0% 6.0% 6.3% 3.2% 2.5% 3.4% Discount from original list, average

The average is 3.4% for homes over $570K and 6.3% for homes under $416K. It does not move in a straight line; homes under $416K 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

2026-10-26T05:46:37.604367 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 40 0 40 60 20 17 33 17 20 60 40 Under $416K $416K–$448K $470K–$570K Over $570K

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

  • 20% of homes over $570K had a price cut before sale, against 40% of homes under $416K. Defined in 8.1.7.
  • 60% of homes over $570K had the seller pay closing costs or repairs, against 40% of homes under $416K. Defined in 8.1.8.
  • 40% of homes over $570K have a view, against 0% of homes under $416K. 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 $416K5 sales$416K–$448K5 sales$470K–$570K6 salesOver $570K5 salesAll21 salesReal difference?
Net sale price average$391,050$428,550$505,075$627,060$488,750by design
Net price per SF average$210$203$209$188$203unclear
Living area average1,8632,1372,4483,4612,476✓ large
Year built median19961994199719991996unclear

3.10 The numbers: selling

Under $416K5 sales$416K–$448K5 sales$470K–$570K6 salesOver $570K5 salesAll21 salesReal difference?
Days on market median5011121913unclear
Discount from original list average6.3%3.2%2.5%3.4%3.8%unclear
Price cut before sale40%40%17%20%29%unclear
Seller paid closing costs or repairs40%60%33%60%48%unclear
Has a view0%20%17%40%19%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.

2026-10-26T05:46:37.624482 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 6 5 21 sales Sales per group Under 1,887 SF: 5 sales (24%) 1,887–2,175 SF: 5 sales (24%) 2,217–2,592 SF: 6 sales (29%) Over 2,592 SF: 5 sales (24%)
Bottom line

4.1 Key differences

The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.

Under 1,887 SF1,887–2,175 SF2,217–2,592 SFOver 2,592 SF
Larger homes Over 2,592 SF
  • Sell for much more.
Smaller homes Under 1,887 SF
  • Sell for much less.

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 1,887 SF1,887–2,175 SF2,217–2,592 SFOver 2,592 SFReal difference?
Net sale price$406KLowest$453K$481K$618KHighest✓ large
Net price per SF$221 per SF$220 per SF$199 per SF$172 per SFunclear
Year built1998199619941999unclear
Days on market50 days11 days6 days19 daysunclear
Discount from original list6.1%2.5%2.6%4.2%unclear
Price cut before sale60%0%33%20%unclear
Seller paid closing costs or repairs40%40%67%40%unclear
Has a view20%0%17%40%unclear

4.3 Homes over 2,592 SF sell for about $212K (52%) more than homes under 1,887 SF

2026-10-26T05:46:37.644851 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,887 SF 5 sales 1,887– 2,175 SF 5 sales 2,217– 2,592 SF 6 sales Over 2,592 SF 5 sales $0K $200K $400K $600K $406K $453K $481K $618K Net sale price, average

The average is $618K for homes over 2,592 SF and $406K for homes under 1,887 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

✓ Real difference · large

4.4 Net price per SF: no clear difference

2026-10-26T05:46:37.667373 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,887 SF 5 sales 1,887– 2,175 SF 5 sales 2,217– 2,592 SF 6 sales Over 2,592 SF 5 sales $0 $100 $200 $221 $220 $199 $172 Net price per SF, average

The average is $172 per SF for homes over 2,592 SF and $221 per SF for homes under 1,887 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-10-26T05:46:37.691429 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,887 SF 5 sales 1,887– 2,175 SF 5 sales 2,217– 2,592 SF 6 sales Over 2,592 SF 5 sales 1992 1994 1996 1998 2000 1998 1996 1994 1999 Year built: median (dot) and middle half (bar)

The median is 1999 for homes over 2,592 SF and 1998 for homes under 1,887 SF. It does not move in a straight line; homes over 2,592 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-10-26T05:46:37.715005 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,887 SF 5 sales 1,887– 2,175 SF 5 sales 2,217– 2,592 SF 6 sales Over 2,592 SF 5 sales 0 20 40 60 50 11 6 19 Days on market, median

The median is 19 days for homes over 2,592 SF and 50 days for homes under 1,887 SF. It does not move in a straight line; homes under 1,887 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-26T05:46:37.736756 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,887 SF 5 sales 1,887– 2,175 SF 5 sales 2,217– 2,592 SF 6 sales Over 2,592 SF 5 sales 0.0% 2.0% 4.0% 6.0% 6.1% 2.5% 2.6% 4.2% Discount from original list, average

The average is 4.2% for homes over 2,592 SF and 6.1% for homes under 1,887 SF. It does not move in a straight line; homes under 1,887 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

2026-10-26T05:46:37.762958 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 40 20 0 40 0 33 67 17 20 40 40 Under 1,887 SF 1,887–2,175 SF 2,217–2,592 SF Over 2,592 SF

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

  • 20% of homes over 2,592 SF had a price cut before sale, against 60% of homes under 1,887 SF. Defined in 8.1.7.
  • 40% of homes over 2,592 SF had the seller pay closing costs or repairs, against 40% of homes under 1,887 SF. Defined in 8.1.8.
  • 40% of homes over 2,592 SF have a view, against 20% of homes under 1,887 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 1,887 SF5 sales1,887–2,175 SF5 sales2,217–2,592 SF6 salesOver 2,592 SF5 salesAll21 salesReal difference?
Net sale price average$405,650$452,650$480,708$617,600$488,750✓ large
Net price per SF average$221$220$199$172$203unclear
Living area average1,8312,0552,4173,6132,476by design
Year built median19981996199419991996unclear

4.10 The numbers: selling

Under 1,887 SF5 sales1,887–2,175 SF5 sales2,217–2,592 SF6 salesOver 2,592 SF5 salesAll21 salesReal difference?
Days on market median501161913unclear
Discount from original list average6.1%2.5%2.6%4.2%3.8%unclear
Price cut before sale60%0%33%20%29%unclear
Seller paid closing costs or repairs40%40%67%40%48%unclear
Has a view20%0%17%40%19%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.

2026-10-26T05:46:37.782816 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 4 6 6 21 sales Sales per group Before 1994: 5 sales (24%) 1994–1995: 4 sales (19%) 1996–1998: 6 sales (29%) After 1998: 6 sales (29%)
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

2026-10-26T05:46:37.802819 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1994 5 sales 1994– 1995 4 sales 1996– 1998 6 sales After 1998 6 sales $0K $200K $400K $600K $471K $517K $434K $540K Net sale price, average

The average is $540K for homes built after 1998 and $471K for homes built before 1994. It does not move in a straight line; homes built after 1998 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T05:46:37.825528 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1994 5 sales 1994– 1995 4 sales 1996– 1998 6 sales After 1998 6 sales $0 $100 $200 $214 $199 $220 $180 Net price per SF, average

The average is $180 per SF for homes built after 1998 and $214 per SF for homes built before 1994. It does not move in a straight line; homes built 1996–1998 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T05:46:37.846286 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1994 5 sales 1994– 1995 4 sales 1996– 1998 6 sales After 1998 6 sales 0 1,000 2,000 3,000 2,209 2,614 1,974 3,109 Living area (SF), average

The average is 3,109 SF for homes built after 1998 and 2,209 SF for homes built before 1994. It does not move in a straight line; homes built after 1998 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T05:46:37.868024 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1994 5 sales 1994– 1995 4 sales 1996– 1998 6 sales After 1998 6 sales 0 20 40 12 18 11 47 Days on market, median

The median is 47 days for homes built after 1998 and 12 days for homes built before 1994. It does not move in a straight line; homes built after 1998 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T05:46:37.890230 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1994 5 sales 1994– 1995 4 sales 1996– 1998 6 sales After 1998 6 sales 0.0% 2.0% 4.0% 3.2% 3.1% 3.5% 5.0% Discount from original list, average

The average is 5.0% for homes built after 1998 and 3.2% for homes built before 1994. It does not move in a straight line; homes built after 1998 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

2026-10-26T05:46:37.915230 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 60 20 25 100 25 17 33 17 33 17 17 Before 1994 1994–1995 1996–1998 After 1998

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

  • 33% of homes built after 1998 had a price cut before sale, against 40% of homes built before 1994. Defined in 8.1.7.
  • 17% of homes built after 1998 had the seller pay closing costs or repairs, against 60% of homes built before 1994. Defined in 8.1.8.
  • 17% of homes built after 1998 have a view, against 20% of homes built before 1994. 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 19945 sales1994–19954 sales1996–19986 salesAfter 19986 salesAll21 sales
Net sale price average$471,260$516,775$433,517$539,875$488,750
Net price per SF average$214$199$220$180$203
Living area average2,2092,6141,9743,1092,476
Year built median19931994199720001996

5.10 The numbers: selling

Before 19945 sales1994–19954 sales1996–19986 salesAfter 19986 salesAll21 sales
Days on market median1218114713
Discount from original list average3.2%3.1%3.5%5.0%3.8%
Price cut before sale40%25%17%33%29%
Seller paid closing costs or repairs60%100%33%17%48%
Has a view20%25%17%17%19%

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. 1 sales whose MLS view entry is only “See Remarks” are left out.

2026-10-26T05:46:37.933618 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 16 20 sales Sales per group View: 4 sales (20%) No view: 16 sales (80%)
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

2026-10-26T05:46:37.948861 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 16 sales $0K $200K $400K $600K $590K $470K Net sale price, average

The average is $590K for homes with a view and $470K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-26T05:46:37.966470 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 16 sales $0 $100 $200 $218 $200 Net price per SF, average

The average is $218 per SF for homes with a view and $200 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-26T05:46:37.983968 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 16 sales 0 1,000 2,000 3,000 2,785 2,430 Living area (SF), average

The average is 2,785 SF for homes with a view and 2,430 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-26T05:46:38.048472 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 16 sales 1994 1996 1998 1996 1997 Year built: median (dot) and middle half (bar)

The median is 1996 for homes with a view and 1997 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-10-26T05:46:38.065945 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 16 sales 0 10 20 30 12 27 Days on market, median

The median is 12 days for homes with a view and 27 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

2026-10-26T05:46:38.084533 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 16 sales 0.0% 1.0% 2.0% 3.0% 4.0% 1.5% 4.1% Discount from original list, average

The average is 1.5% for homes with a view and 4.1% 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

2026-10-26T05:46:38.103189 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 0 75 38 44 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 38% of homes without a view. Defined in 8.1.7.
  • 75% of homes with a view had the seller pay closing costs or repairs, against 44% 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

View4 salesNo view16 salesAll20 sales
Net sale price average$590,012$470,366$494,295
Net price per SF average$218$200$204
Living area average2,7852,4302,501
Year built median199619971996

6.11 The numbers: selling

View4 salesNo view16 salesAll20 sales
Days on market median122714
Discount from original list average1.5%4.1%3.6%
Price cut before sale0%38%30%
Seller paid closing costs or repairs75%44%50%

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 Vista Oaks Sec 3 B.

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
21 resale sales. Average $488,750; median $470,000; standard deviation $97,766; middle half (25th–75th percentile) $416,250–$570,000; lowest $365,000, highest $742,750. 10 sales had a seller payment; their median payment was $4,025.

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 $203; median $202; standard deviation $29; middle half (25th–75th percentile) $188–$224; lowest $138, highest $260.

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 2,476; median 2,217; standard deviation 714; middle half (25th–75th percentile) 1,887–2,592; lowest 1,788, highest 4,139.

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 1996; median 1996; standard deviation 3; middle half (25th–75th percentile) 1994–1999; lowest 1992, highest 2001.

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 44; median 13; standard deviation 53; middle half (25th–75th percentile) 8–79; lowest 3, highest 163. 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 3.8%; median 3.2%; standard deviation 3.8%; middle half (25th–75th percentile) 1.1%–7.5%; lowest −3.1%, highest 11.8%. 2 sales closed above their first asking price.

8.1.7 Price cut before sale

In simple terms
The asking price was lowered at least once before the home went under contract.
Statistically
Indicator: ListPrice at close < OriginalListPrice. Reported as the share of sales (%).
The data
6 of 21 resale sales (28.6%).

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
10 of 21 resale sales (47.6%).

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
4 sales with a view, 16 without, 1 unclassified. Most common View entries: None 11, Neighborhood 7, Pool 2, Park/Greenbelt 2, Trees/Woods 1.

8.2 Methods

8.2.1 Data source

In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
Bridge Interactive RESO Web API (OData), ABOR dataset, every field returned. Filter: StandardStatus = Closed, PropertyType = Residential, City = Round Rock, SubdivisionName contains any of “vista oaks”, “vista oaks rev” (case-insensitive). A record is kept when its subdivision name belongs to the Vista Oaks Sec 3 B family, the same rule comparable sales use (it includes Vista Oaks Rev 1A, proven adjacent and priced alike).
The data
Pulled October 26, 2026: 21 closed Vista Oaks Sec 3 B records over the prior year, in ZIP 78681. 12 subdivision spellings kept: Vista Oaks Rev 1A (5); Vista Oaks Sec 3 B (3); Vista Oaks (3); Vista Oaks Sec 6B (2); Vista Oaks Sec 6A (1); Vista Oaks Sec 5B (1); Vista Oaks Sec 3A (1); Vista Oaks Sec 2b (1); Vista Oaks Sec 4B (1); Vista Oaks Sec 5C (1); Vista Oaks Sec 2B (1); Vista Oaks Sec 2a (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 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
21 single-family sales in the window: 21 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
21 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 $416K”.
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 $416K: $365,000–$412,000 (5 sales); $416K–$448K: $416,250–$447,500 (5 sales); $470K–$570K: $470,000–$570,000 (6 sales); Over $570K: $571,500–$742,750 (5 sales)
Quartiles by living area: Under 1,887 SF: 1,788–1,862 SF (5 sales); 1,887–2,175 SF: 1,887–2,175 SF (5 sales); 2,217–2,592 SF: 2,217–2,592 SF (6 sales); Over 2,592 SF: 3,130–4,139 SF (5 sales)
Quartiles by year built: Before 1994: 1992–1993 (5 sales); 1994–1995: 1994–1995 (4 sales); 1996–1998: 1996–1998 (6 sales); After 1998: 1999–2001 (6 sales)
View and no view: View: MLS lists a view (4 sales); No view: None or Neighborhood (16 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 $488,750, median $470,000. Days on market: average 44, median 13: 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
2 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 = 2.1530.5419p < 0.0063Unclearε² = 0.107medium
Living areaKruskal–WallisH = 13.7230.0033p < 0.0063Yesε² = 0.686large
Year builtKruskal–WallisH = 2.4430.4864p < 0.0063Unclearε² = 0.122medium
Days on marketKruskal–WallisH = 2.8930.4083p < 0.0063Unclearε² = 0.145large
Discount from original listKruskal–WallisH = 2.9330.4026p < 0.0063Unclearε² = 0.146large
Price cut before saleChi-squareχ² = 1.2430.7442p < 0.0063UnclearCramér’s V = 0.243small
Seller paid closing costs or repairsChi-squareχ² = 1.2230.7478p < 0.0063UnclearCramér’s V = 0.241small
Has a viewChi-squareχ² = 2.6230.4531p < 0.0063UnclearCramér’s V = 0.354medium

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 12.5230.0058p < 0.0063Yesε² = 0.626large
Net price per SFKruskal–WallisH = 10.9230.0122p < 0.0063Unclearε² = 0.546large
Year builtKruskal–WallisH = 7.0730.0696p < 0.0063Unclearε² = 0.354large
Days on marketKruskal–WallisH = 5.9430.1145p < 0.0063Unclearε² = 0.297large
Discount from original listKruskal–WallisH = 3.3330.3439p < 0.0063Unclearε² = 0.166large
Price cut before saleChi-squareχ² = 4.6730.1979p < 0.0063UnclearCramér’s V = 0.471medium
Seller paid closing costs or repairsChi-squareχ² = 1.2230.7478p < 0.0063UnclearCramér’s V = 0.241small
Has a viewChi-squareχ² = 2.6230.4531p < 0.0063UnclearCramér’s V = 0.354medium

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 21 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.