ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Round Rock Ranch Ph 01 Sec 01

Round Rock, TX 78665 · 78664
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
24
single-family resale homes
Median net sale price
$324,466
average $332,317
Median net price per SF
$168
average $176
Median days on market
28 days
average 72 days
1. SummaryResale homes · 24 sales · October 26, 2025 – October 25, 2026

This study looks at the 24 resale homes sold in Round Rock Ranch Ph 01 Sec 01 in the 365 days to October 25, 2026. A full year is used because only 15 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 sold24 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 $300K · 6 sales$300K–$323K · 6 sales$326K–$372K · 6 salesOver $372K · 6 sales
3. Quartiles by net sale priceResale homes · 24 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.

2026-10-26T05:46:18.529735 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 6 6 6 24 sales Sales per group Under $300K: 6 sales (25%) $300K–$323K: 6 sales (25%) $326K–$372K: 6 sales (25%) Over $372K: 6 sales (25%)
Bottom line

3.1 Key differences

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

Under $300K$300K–$323K$326K–$372KOver $372K
Higher-priced homes Over $372K
  • Are much larger.
Lower-priced homes Under $300K
  • 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 $300K$300K–$323K$326K–$372KOver $372KReal difference?
Net price per SF$171 per SF$185 per SF$188 per SF$160 per SFunclear
Living area1,638 SFSmallest1,739 SF1,892 SF2,422 SFLargest✓ large
Year built2000200119961995unclear
Days on market52 days40 days16 days32 daysunclear
Discount from original list10.8%6.5%4.8%6.1%unclear
Price cut before sale50%50%33%67%unclear
Seller paid closing costs or repairs50%83%83%100%unclear
Has a view0%17%0%0%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

2026-10-26T05:46:18.557858 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $300K 6 sales $300K– $323K 6 sales $326K– $372K 6 sales Over $372K 6 sales $0 $100 $200 $171 $185 $188 $160 Net price per SF, average

The average is $160 per SF for homes over $372K and $171 per SF for homes under $300K. It does not move in a straight line; homes $326K–$372K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Homes over $372K are about 780 SF (48%) larger than homes under $300K

2026-10-26T05:46:18.580330 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $300K 6 sales $300K– $323K 6 sales $326K– $372K 6 sales Over $372K 6 sales 0 1,000 2,000 1,638 1,739 1,892 2,422 Living area (SF), average

The average is 2,422 SF for homes over $372K and 1,638 SF for homes under $300K. 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

2026-10-26T05:46:18.604161 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $300K 6 sales $300K– $323K 6 sales $326K– $372K 6 sales Over $372K 6 sales 1993 1996 1999 2002 2000 2001 1996 1995 Year built: median (dot) and middle half (bar)

The median is 1995 for homes over $372K and 2000 for homes under $300K. It does not move in a straight line; homes $300K–$323K are highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-10-26T05:46:18.627016 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $300K 6 sales $300K– $323K 6 sales $326K– $372K 6 sales Over $372K 6 sales 0 20 40 60 52 40 16 32 Days on market, median

The median is 32 days for homes over $372K and 52 days for homes under $300K. It does not move in a straight line; homes under $300K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-26T05:46:18.649309 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $300K 6 sales $300K– $323K 6 sales $326K– $372K 6 sales Over $372K 6 sales 0.0% 5.0% 10.0% 10.8% 6.5% 4.8% 6.1% Discount from original list, average

The average is 6.1% for homes over $372K and 10.8% for homes under $300K. It does not move in a straight line; homes under $300K 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

2026-10-26T05:46:18.678967 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 50 0 50 83 17 33 83 0 67 100 0 Under $300K $300K–$323K $326K–$372K Over $372K

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

  • 67% of homes over $372K had a price cut before sale, against 50% of homes under $300K. Defined in 8.1.7.
  • 100% of homes over $372K had the seller pay closing costs or repairs, against 50% of homes under $300K. Defined in 8.1.8.
  • 0% of homes over $372K have a view, against 0% of homes under $300K. 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 $300K6 sales$300K–$323K6 sales$326K–$372K6 salesOver $372K6 salesAll24 salesReal difference?
Net sale price average$277,616$316,833$348,780$386,039$332,317by design
Net price per SF average$171$185$188$160$176unclear
Living area average1,6381,7391,8922,4221,923✓ large
Year built median20002001199619951997unclear

3.10 The numbers: selling

Under $300K6 sales$300K–$323K6 sales$326K–$372K6 salesOver $372K6 salesAll24 salesReal difference?
Days on market median5240163228unclear
Discount from original list average10.8%6.5%4.8%6.1%7.0%unclear
Price cut before sale50%50%33%67%50%unclear
Seller paid closing costs or repairs50%83%83%100%79%unclear
Has a view0%17%0%0%4%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 · 24 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.

2026-10-26T05:46:18.699326 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 6 6 6 24 sales Sales per group Under 1,559 SF: 6 sales (25%) 1,559–1,756 SF: 6 sales (25%) 1,901–2,296 SF: 6 sales (25%) Over 2,296 SF: 6 sales (25%)
Bottom line

4.1 Key differences

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

Under 1,559 SF1,559–1,756 SF1,901–2,296 SFOver 2,296 SF
Larger homes Over 2,296 SF
  • Sell for less per square foot.
Smaller homes Under 1,559 SF
  • Sell for more per square foot.

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 1,559 SF1,559–1,756 SF1,901–2,296 SFOver 2,296 SFReal difference?
Net sale price$298K$314K$334K$383Kunclear
Net price per SF$196 per SFHighest$187 per SF$162 per SF$158 per SFLowest✓ large
Year built2002200219951995unclear
Days on market12 days25 days102 days32 daysunclear
Discount from original list3.7%7.6%11.2%5.6%unclear
Price cut before sale33%33%67%67%unclear
Seller paid closing costs or repairs50%83%83%100%unclear
Has a view17%0%0%0%unclear

4.3 Net sale price: no clear difference

2026-10-26T05:46:18.719647 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,559 SF 6 sales 1,559– 1,756 SF 6 sales 1,901– 2,296 SF 6 sales Over 2,296 SF 6 sales $0K $200K $400K $298K $314K $334K $383K Net sale price, average

The average is $383K for homes over 2,296 SF and $298K for homes under 1,559 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

– No clear difference · could be chance

4.4 Homes over 2,296 SF sell for about $38 per SF (19%) less than homes under 1,559 SF

2026-10-26T05:46:18.742024 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,559 SF 6 sales 1,559– 1,756 SF 6 sales 1,901– 2,296 SF 6 sales Over 2,296 SF 6 sales $0 $100 $200 $196 $187 $162 $158 Net price per SF, average

The average is $158 per SF for homes over 2,296 SF and $196 per SF for homes under 1,559 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

✓ Real difference · large

4.5 Year built: no clear difference

2026-10-26T05:46:18.765034 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,559 SF 6 sales 1,559– 1,756 SF 6 sales 1,901– 2,296 SF 6 sales Over 2,296 SF 6 sales 1993 1996 1999 2002 2002 2002 1995 1995 Year built: median (dot) and middle half (bar)

The median is 1995 for homes over 2,296 SF and 2002 for homes under 1,559 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-10-26T05:46:18.787581 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,559 SF 6 sales 1,559– 1,756 SF 6 sales 1,901– 2,296 SF 6 sales Over 2,296 SF 6 sales 0 50 100 12 25 102 32 Days on market, median

The median is 32 days for homes over 2,296 SF and 12 days for homes under 1,559 SF. It does not move in a straight line; homes 1,901–2,296 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-26T05:46:18.809552 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,559 SF 6 sales 1,559– 1,756 SF 6 sales 1,901– 2,296 SF 6 sales Over 2,296 SF 6 sales 0.0% 5.0% 10.0% 3.7% 7.6% 11.2% 5.6% Discount from original list, average

The average is 5.6% for homes over 2,296 SF and 3.7% for homes under 1,559 SF. It does not move in a straight line; homes 1,901–2,296 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

2026-10-26T05:46:18.836039 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% 33 50 17 33 83 0 67 83 0 67 100 0 Under 1,559 SF 1,559–1,756 SF 1,901–2,296 SF Over 2,296 SF

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

  • 67% of homes over 2,296 SF had a price cut before sale, against 33% of homes under 1,559 SF. Defined in 8.1.7.
  • 100% of homes over 2,296 SF had the seller pay closing costs or repairs, against 50% of homes under 1,559 SF. Defined in 8.1.8.
  • 0% of homes over 2,296 SF have a view, against 17% of homes under 1,559 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 1,559 SF6 sales1,559–1,756 SF6 sales1,901–2,296 SF6 salesOver 2,296 SF6 salesAll24 salesReal difference?
Net sale price average$297,717$314,082$334,348$383,122$332,317unclear
Net price per SF average$196$187$162$158$176✓ large
Living area average1,5151,6772,0702,4301,923by design
Year built median20022002199519951997unclear

4.10 The numbers: selling

Under 1,559 SF6 sales1,559–1,756 SF6 sales1,901–2,296 SF6 salesOver 2,296 SF6 salesAll24 salesReal difference?
Days on market median12251023228unclear
Discount from original list average3.7%7.6%11.2%5.6%7.0%unclear
Price cut before sale33%33%67%67%50%unclear
Seller paid closing costs or repairs50%83%83%100%79%unclear
Has a view17%0%0%0%4%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 · 24 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.

2026-10-26T05:46:18.856416 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 3 7 8 24 sales Sales per group Before 1996: 6 sales (25%) 1996: 3 sales (12%) 1997–2000: 7 sales (29%) After 2000: 8 sales (33%)
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

2026-10-26T05:46:18.876746 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1996 6 sales 1996 3 sales 1997– 2000 7 sales After 2000 8 sales $0K $200K $400K $376K $320K $329K $307K Net sale price, average

The average is $307K for homes built after 2000 and $376K for homes built before 1996. It does not move in a straight line; homes built before 1996 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T05:46:18.899373 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1996 6 sales 1996 3 sales 1997– 2000 7 sales After 2000 8 sales $0 $100 $200 $164 $160 $173 $193 Net price per SF, average

The average is $193 per SF for homes built after 2000 and $164 per SF for homes built before 1996. It does not move in a straight line; homes built after 2000 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T05:46:18.921154 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1996 6 sales 1996 3 sales 1997– 2000 7 sales After 2000 8 sales 0 1,000 2,000 2,310 2,039 1,918 1,594 Living area (SF), average

The average is 1,594 SF for homes built after 2000 and 2,310 SF for homes built before 1996. It falls step by step from the lowest range to the highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T05:46:18.942504 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1996 6 sales 1996 3 sales 1997– 2000 7 sales After 2000 8 sales 0 20 40 60 64 10 39 24 Days on market, median

The median is 24 days for homes built after 2000 and 64 days for homes built before 1996. It does not move in a straight line; homes built before 1996 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T05:46:18.965768 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1996 6 sales 1996 3 sales 1997– 2000 7 sales After 2000 8 sales 0.0% 2.5% 5.0% 7.5% 6.6% 7.1% 6.4% 7.9% Discount from original list, average

The average is 7.9% for homes built after 2000 and 6.6% for homes built before 1996. It does not move in a straight line; homes built after 2000 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

2026-10-26T05:46:18.991603 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 83 0 33 67 0 71 86 0 38 75 12 Before 1996 1996 1997–2000 After 2000

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

  • 38% of homes built after 2000 had a price cut before sale, against 50% of homes built before 1996. Defined in 8.1.7.
  • 75% of homes built after 2000 had the seller pay closing costs or repairs, against 83% of homes built before 1996. Defined in 8.1.8.
  • 12% of homes built after 2000 have a view, against 0% of homes built before 1996. 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 19966 sales19963 sales1997–20007 salesAfter 20008 salesAll24 sales
Net sale price average$375,918$320,304$328,876$307,132$332,317
Net price per SF average$164$160$173$193$176
Living area average2,3102,0391,9181,5941,923
Year built median19931996199720021997

5.10 The numbers: selling

Before 19966 sales19963 sales1997–20007 salesAfter 20008 salesAll24 sales
Days on market median6410392428
Discount from original list average6.6%7.1%6.4%7.9%7.0%
Price cut before sale50%33%71%38%50%
Seller paid closing costs or repairs83%67%86%75%79%
Has a view0%0%0%12%4%

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 · 24 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.

2026-10-26T05:46:19.010433 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 1 22 23 sales Sales per group View: 1 sales (4%) No view: 22 sales (96%)
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

2026-10-26T05:46:19.027061 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 22 sales $0K $100K $200K $300K $400K $322K $335K Net sale price, average

The average is $322K for homes with a view and $335K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-26T05:46:19.045329 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 22 sales $0 $100 $200 $210 $174 Net price per SF, average

The average is $210 per SF for homes with a view and $174 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-26T05:46:19.064216 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 22 sales 0 500 1,000 1,500 2,000 1,528 1,957 Living area (SF), average

The average is 1,528 SF for homes with a view and 1,957 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-26T05:46:19.108665 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 22 sales 1996 1998 2000 2002 2002 1997 Year built: median (dot) and middle half (bar)

The median is 2002 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

2026-10-26T05:46:19.126160 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 22 sales 0 10 20 30 13 32 Days on market, median

The median is 13 days for homes with a view and 32 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

2026-10-26T05:46:19.145521 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 22 sales 0.0% 2.0% 4.0% 6.0% 8.0% 4.0% 7.2% Discount from original list, average

The average is 4.0% for homes with a view and 7.2% 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

2026-10-26T05:46:19.164754 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 0 100 55 77 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 55% of homes without a view. Defined in 8.1.7.
  • 100% of homes with a view had the seller pay closing costs or repairs, against 77% of homes without a view. Defined in 8.1.8.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.

6.10 The numbers: price and size

View1 salesNo view22 salesAll23 sales
Net sale price average$321,500$334,809$334,231
Net price per SF average$210$174$176
Living area average1,5281,9571,939
Year built median200219971997

6.11 The numbers: selling

View1 salesNo view22 salesAll23 sales
Days on market median133225
Discount from original list average4.0%7.2%7.0%
Price cut before sale0%55%52%
Seller paid closing costs or repairs100%77%78%

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 Ranch Ph 01 Sec 01.

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
24 resale sales. Average $332,317; median $324,466; standard deviation $42,965; middle half (25th–75th percentile) $298,125–$372,528; lowest $245,000, highest $405,900. 19 sales had a seller payment; their median payment was $8,000.

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
24 resale sales. Average $176; median $168; standard deviation $22; middle half (25th–75th percentile) $161–$188; lowest $140, highest $223.

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
24 resale sales. Average 1,923; median 1,828; standard deviation 382; middle half (25th–75th percentile) 1,558–2,299; lowest 1,457, highest 2,783.

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
24 resale sales. Average 1998; median 1997; standard deviation 4; middle half (25th–75th percentile) 1996–2002; lowest 1992, highest 2004.

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
24 resale sales. Average 72; median 28; standard deviation 93; middle half (25th–75th percentile) 12–87; lowest 2, highest 358. 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
24 resale sales. Average 7.0%; median 4.8%; standard deviation 7.2%; middle half (25th–75th percentile) 2.8%–10.2%; lowest −5.4%, highest 23.7%. 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
12 of 24 resale sales (50.0%).

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
19 of 24 resale sales (79.2%).

8.1.9 Has a view

In simple terms
The MLS says the home looks over something: a greenbelt or park, trees, golf course, hill country, water and similar.
Statistically
View = the View field holds any entry other than “None”, “Neighborhood” or “See Remarks”. No view = only “None” and/or “Neighborhood”. A record whose only entry is “See Remarks” cannot be classified and is left out of the view slice.
The data
1 sales with a view, 22 without, 1 unclassified. Most common View entries: None 13, Neighborhood 10, See Remarks 1, Park/Greenbelt 1, 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 “round rock ranch”, “rolling ridge” (case-insensitive). A record is kept when its subdivision name belongs to the Round Rock Ranch Ph 01 Sec 01 family, the same rule comparable sales use (it includes Rolling Ridge Sec 01-B, proven adjacent and priced alike).
The data
Pulled October 26, 2026: 24 closed Round Rock Ranch Ph 01 Sec 01 records over the prior year, in ZIP 78665, 78664. 13 subdivision spellings kept, the most common: Round Rock Ranch Ph 01 Sec 01 (6); Round Rock Ranch Ph 01 Sec 03B (3); Round Rock Ranch Pud 13 Ph 01 (2); Round Rock Ranch Ph 01 Sec 03A (2); Round Rock Ranch Ph 01 Sec 02 Amd (2); Round Rock Ranch (2); Rolling Ridge Sec 01-A (1); Rolling Ridge Sec 01-B (1); Round Rock Ranch Ph 01 Sec 02 (1); ROUND ROCK RANCH PUD #13 (1); ROUND ROCK RANCH (1); Round Rock Ranch PUD 13 Ph 01 (1); and 1 more (1 records). 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 15 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
24 single-family sales in the window: 24 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
24 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 $300K”.
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 $300K: $245,000–$294,000 (6 sales); $300K–$323K: $299,500–$323,000 (6 sales); $326K–$372K: $325,932–$372,000 (6 sales); Over $372K: $374,110–$405,900 (6 sales)
Quartiles by living area: Under 1,559 SF: 1,457–1,554 SF (6 sales); 1,559–1,756 SF: 1,559–1,756 SF (6 sales); 1,901–2,296 SF: 1,901–2,296 SF (6 sales); Over 2,296 SF: 2,309–2,783 SF (6 sales)
Quartiles by year built: Before 1996: 1992–1994 (6 sales); 1996: 1996–1996 (3 sales); 1997–2000: 1997–2000 (7 sales); After 2000: 2002–2004 (8 sales)
View and no view: View: MLS lists a view (1 sales); No view: None or Neighborhood (22 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 $332,317, median $324,466. Days on market: average 72, 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
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 = 4.3730.2245p < 0.0063Unclearε² = 0.190large
Living areaKruskal–WallisH = 12.9330.0048p < 0.0063Yesε² = 0.562large
Year builtKruskal–WallisH = 6.6330.0847p < 0.0063Unclearε² = 0.288large
Days on marketKruskal–WallisH = 0.7230.8679p < 0.0063Unclearε² = 0.031small
Discount from original listKruskal–WallisH = 1.3230.7244p < 0.0063Unclearε² = 0.057small
Price cut before saleChi-squareχ² = 1.3330.7212p < 0.0063UnclearCramér’s V = 0.236small
Seller paid closing costs or repairsChi-squareχ² = 4.8030.1870p < 0.0063UnclearCramér’s V = 0.447medium
Has a viewChi-squareχ² = 3.1330.3719p < 0.0063UnclearCramér’s V = 0.361medium

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 12.2130.0067p < 0.0063Unclearε² = 0.531large
Net price per SFKruskal–WallisH = 12.4130.0061p < 0.0063Yesε² = 0.539large
Year builtKruskal–WallisH = 12.1530.0069p < 0.0063Unclearε² = 0.528large
Days on marketKruskal–WallisH = 3.5530.3142p < 0.0063Unclearε² = 0.154large
Discount from original listKruskal–WallisH = 4.6230.2018p < 0.0063Unclearε² = 0.201large
Price cut before saleChi-squareχ² = 2.6730.4459p < 0.0063UnclearCramér’s V = 0.333medium
Seller paid closing costs or repairsChi-squareχ² = 4.8030.1870p < 0.0063UnclearCramér’s V = 0.447medium
Has a viewChi-squareχ² = 3.1330.3719p < 0.0063UnclearCramér’s V = 0.361medium

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 24 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.