ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Highlands at Mayfield Ranch

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 · 6:59 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
47
single-family resale homes
Median net sale price
$528,400
average $542,789
Median net price per SF
$215
average $211
Median days on market
43 days
average 66 days
1. SummaryResale homes · 47 sales · October 26, 2025 – October 25, 2026

This study looks at the 47 resale homes sold in Highlands at Mayfield Ranch in the 365 days to October 25, 2026. A full year is used because only 26 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 sold47 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 $468K · 12 sales$468K–$528K · 12 sales$530K–$615K · 11 salesOver $615K · 12 sales
3. Quartiles by net sale priceResale homes · 47 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.

2026-10-26T06:59:14.207493 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 12 12 11 12 47 sales Sales per group Under $468K: 12 sales (26%) $468K–$528K: 12 sales (26%) $530K–$615K: 11 sales (23%) Over $615K: 12 sales (26%)
Bottom line

3.1 Key differences

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

Under $468K$468K–$528K$530K–$615KOver $615K
Higher-priced homes Over $615K
  • Are much larger.
Lower-priced homes Under $468K
  • 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 $468K$468K–$528K$530K–$615KOver $615KReal difference?
Net price per SF$217 per SF$200 per SF$207 per SF$222 per SFunclear
Living area2,012 SFSmallest2,496 SF2,752 SF3,106 SFLargest✓ large
Year built2018201220172018unclear
Days on market44 days72 days26 days50 daysunclear
Discount from original list6.5%4.5%3.5%4.3%unclear
Price cut before sale50%50%36%50%unclear
Seller paid closing costs or repairs67%67%64%83%unclear
Has a view8%17%27%25%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

2026-10-26T06:59:14.236323 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $468K 12 sales $468K– $528K 12 sales $530K– $615K 11 sales Over $615K 12 sales $0 $100 $200 $217 $200 $207 $222 Net price per SF, average

The average is $222 per SF for homes over $615K and $217 per SF for homes under $468K. It does not move in a straight line; homes over $615K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Homes over $615K are about 1,090 SF (54%) larger than homes under $468K

2026-10-26T06:59:14.258232 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $468K 12 sales $468K– $528K 12 sales $530K– $615K 11 sales Over $615K 12 sales 0 1,000 2,000 3,000 2,012 2,496 2,752 3,106 Living area (SF), average

The average is 3,106 SF for homes over $615K and 2,012 SF for homes under $468K. 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

2026-10-26T06:59:14.282226 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $468K 12 sales $468K– $528K 12 sales $530K– $615K 11 sales Over $615K 12 sales 2008 2012 2016 2020 2018 2012 2017 2018 Year built: median (dot) and middle half (bar)

The median is 2018 for homes over $615K and 2018 for homes under $468K. It does not move in a straight line; homes under $468K are highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-10-26T06:59:14.305083 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $468K 12 sales $468K– $528K 12 sales $530K– $615K 11 sales Over $615K 12 sales 0 25 50 75 44 72 26 50 Days on market, median

The median is 50 days for homes over $615K and 44 days for homes under $468K. It does not move in a straight line; homes $468K–$528K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-26T06:59:14.326707 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $468K 12 sales $468K– $528K 12 sales $530K– $615K 11 sales Over $615K 12 sales 0.0% 2.0% 4.0% 6.0% 6.5% 4.5% 3.5% 4.3% Discount from original list, average

The average is 4.3% for homes over $615K and 6.5% for homes under $468K. It does not move in a straight line; homes under $468K 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

2026-10-26T06:59:14.356472 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 67 8 50 67 17 36 64 27 50 83 25 Under $468K $468K–$528K $530K–$615K Over $615K

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

  • 50% of homes over $615K had a price cut before sale, against 50% of homes under $468K. Defined in 8.1.7.
  • 83% of homes over $615K had the seller pay closing costs or repairs, against 67% of homes under $468K. Defined in 8.1.8.
  • 25% of homes over $615K have a view, against 8% of homes under $468K. 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 $468K12 sales$468K–$528K12 sales$530K–$615K11 salesOver $615K12 salesAll47 salesReal difference?
Net sale price average$429,940$494,988$561,449$686,334$542,789by design
Net price per SF average$217$200$207$222$211unclear
Living area average2,0122,4962,7523,1062,588✓ large
Year built median20182012201720182017unclear

3.10 The numbers: selling

Under $468K12 sales$468K–$528K12 sales$530K–$615K11 salesOver $615K12 salesAll47 salesReal difference?
Days on market median4472265043unclear
Discount from original list average6.5%4.5%3.5%4.3%4.7%unclear
Price cut before sale50%50%36%50%47%unclear
Seller paid closing costs or repairs67%67%64%83%70%unclear
Has a view8%17%27%25%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 · 47 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.

2026-10-26T06:59:14.377367 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 12 12 11 12 47 sales Sales per group Under 2,260 SF: 12 sales (26%) 2,260–2,540 SF: 12 sales (26%) 2,547–2,916 SF: 11 sales (23%) Over 2,916 SF: 12 sales (26%)
Bottom line

4.1 Key differences

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

Under 2,260 SF2,260–2,540 SF2,547–2,916 SFOver 2,916 SF
Larger homes Over 2,916 SF
  • Sell for much more.
Smaller homes Under 2,260 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 2,260 SF2,260–2,540 SF2,547–2,916 SFOver 2,916 SFReal difference?
Net sale price$437KLowest$505K$587K$646KHighest✓ large
Net price per SF$223 per SF$208 per SF$214 per SF$200 per SFunclear
Year built2018201720162017unclear
Days on market62 days29 days43 days50 daysunclear
Discount from original list6.0%3.6%4.4%4.9%unclear
Price cut before sale50%42%45%50%unclear
Seller paid closing costs or repairs58%75%64%83%unclear
Has a view8%8%18%42%unclear

4.3 Homes over 2,916 SF sell for about $209K (48%) more than homes under 2,260 SF

2026-10-26T06:59:14.398066 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,260 SF 12 sales 2,260– 2,540 SF 12 sales 2,547– 2,916 SF 11 sales Over 2,916 SF 12 sales $0K $200K $400K $600K $437K $505K $587K $646K Net sale price, average

The average is $646K for homes over 2,916 SF and $437K for homes under 2,260 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

2026-10-26T06:59:14.420986 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,260 SF 12 sales 2,260– 2,540 SF 12 sales 2,547– 2,916 SF 11 sales Over 2,916 SF 12 sales $0 $100 $200 $223 $208 $214 $200 Net price per SF, average

The average is $200 per SF for homes over 2,916 SF and $223 per SF for homes under 2,260 SF. It does not move in a straight line; homes under 2,260 SF are highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-10-26T06:59:14.444158 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,260 SF 12 sales 2,260– 2,540 SF 12 sales 2,547– 2,916 SF 11 sales Over 2,916 SF 12 sales 2008 2012 2016 2020 2018 2017 2016 2017 Year built: median (dot) and middle half (bar)

The median is 2017 for homes over 2,916 SF and 2018 for homes under 2,260 SF. It does not move in a straight line; homes under 2,260 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-10-26T06:59:14.466634 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,260 SF 12 sales 2,260– 2,540 SF 12 sales 2,547– 2,916 SF 11 sales Over 2,916 SF 12 sales 0 20 40 60 62 29 43 50 Days on market, median

The median is 50 days for homes over 2,916 SF and 62 days for homes under 2,260 SF. It does not move in a straight line; homes under 2,260 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-26T06:59:14.488884 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,260 SF 12 sales 2,260– 2,540 SF 12 sales 2,547– 2,916 SF 11 sales Over 2,916 SF 12 sales 0.0% 2.0% 4.0% 6.0% 6.0% 3.6% 4.4% 4.9% Discount from original list, average

The average is 4.9% for homes over 2,916 SF and 6.0% for homes under 2,260 SF. It does not move in a straight line; homes under 2,260 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

2026-10-26T06:59:14.515804 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 58 8 42 75 8 45 64 18 50 83 42 Under 2,260 SF 2,260–2,540 SF 2,547–2,916 SF Over 2,916 SF

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

  • 50% of homes over 2,916 SF had a price cut before sale, against 50% of homes under 2,260 SF. Defined in 8.1.7.
  • 83% of homes over 2,916 SF had the seller pay closing costs or repairs, against 58% of homes under 2,260 SF. Defined in 8.1.8.
  • 42% of homes over 2,916 SF have a view, against 8% of homes under 2,260 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 2,260 SF12 sales2,260–2,540 SF12 sales2,547–2,916 SF11 salesOver 2,916 SF12 salesAll47 salesReal difference?
Net sale price average$436,925$504,831$586,714$646,345$542,789✓ large
Net price per SF average$223$208$214$200$211unclear
Living area average1,9692,4282,7273,2402,588by design
Year built median20182017201620172017unclear

4.10 The numbers: selling

Under 2,260 SF12 sales2,260–2,540 SF12 sales2,547–2,916 SF11 salesOver 2,916 SF12 salesAll47 salesReal difference?
Days on market median6229435043unclear
Discount from original list average6.0%3.6%4.4%4.9%4.7%unclear
Price cut before sale50%42%45%50%47%unclear
Seller paid closing costs or repairs58%75%64%83%70%unclear
Has a view8%8%18%42%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 · 47 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.

2026-10-26T06:59:14.536242 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 12 17 9 9 47 sales Sales per group Before 2014: 12 sales (26%) 2014–2017: 17 sales (36%) 2018–2019: 9 sales (19%) After 2019: 9 sales (19%)
Bottom line

5.1 Key differences

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

Before 20142014–20172018–2019After 2019
Newer homes After 2019
  • Sell for more per square foot.
Older homes Before 2014
  • Sell for less per square foot.

5.2 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.

Before 20142014–20172018–2019After 2019Real difference?
Net sale price$537K$544K$544K$547Kunclear
Net price per SF$193 per SFLowest$211 per SF$221 per SF$227 per SFHighest✓ large
Living area2,789 SF2,595 SF2,488 SF2,405 SFunclear
Days on market28 days68 days46 days43 daysunclear
Discount from original list4.4%5.5%5.0%3.4%unclear
Price cut before sale42%47%56%44%unclear
Seller paid closing costs or repairs58%71%100%56%unclear
Has a view42%18%0%11%unclear

5.3 Net sale price: no clear difference

2026-10-26T06:59:14.556832 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2014 12 sales 2014– 2017 17 sales 2018– 2019 9 sales After 2019 9 sales $0K $200K $400K $600K $537K $544K $544K $547K Net sale price, average

The average is $547K for homes built after 2019 and $537K for homes built before 2014. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Homes built after 2019 sell for about $34 per SF (18%) more than homes built before 2014

2026-10-26T06:59:14.580018 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2014 12 sales 2014– 2017 17 sales 2018– 2019 9 sales After 2019 9 sales $0 $100 $200 $193 $211 $221 $227 Net price per SF, average

The average is $227 per SF for homes built after 2019 and $193 per SF for homes built before 2014. It rises step by step from the lowest range to the highest. Defined in 8.1.2.

✓ Real difference · large

5.5 Living area: no clear difference

2026-10-26T06:59:14.601312 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2014 12 sales 2014– 2017 17 sales 2018– 2019 9 sales After 2019 9 sales 0 1,000 2,000 3,000 2,789 2,595 2,488 2,405 Living area (SF), average

The average is 2,405 SF for homes built after 2019 and 2,789 SF for homes built before 2014. It falls step by step from the lowest range to the highest. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-10-26T06:59:14.623247 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2014 12 sales 2014– 2017 17 sales 2018– 2019 9 sales After 2019 9 sales 0 25 50 75 28 68 46 43 Days on market, median

The median is 43 days for homes built after 2019 and 28 days for homes built before 2014. It does not move in a straight line; homes built 2014–2017 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-10-26T06:59:14.645877 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2014 12 sales 2014– 2017 17 sales 2018– 2019 9 sales After 2019 9 sales 0.0% 2.0% 4.0% 6.0% 4.4% 5.5% 5.0% 3.4% Discount from original list, average

The average is 3.4% for homes built after 2019 and 4.4% for homes built before 2014. It does not move in a straight line; homes built 2014–2017 are highest. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-10-26T06:59:14.671427 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% 42 58 42 47 71 18 56 100 0 44 56 11 Before 2014 2014–2017 2018–2019 After 2019

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

  • 44% of homes built after 2019 had a price cut before sale, against 42% of homes built before 2014. Defined in 8.1.7.
  • 56% of homes built after 2019 had the seller pay closing costs or repairs, against 58% of homes built before 2014. Defined in 8.1.8.
  • 11% of homes built after 2019 have a view, against 42% of homes built before 2014. 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

5.9 The numbers: price and size

Before 201412 sales2014–201717 sales2018–20199 salesAfter 20199 salesAll47 salesReal difference?
Net sale price average$537,204$543,708$543,794$547,494$542,789unclear
Net price per SF average$193$211$221$227$211✓ large
Living area average2,7892,5952,4882,4052,588unclear
Year built median20052017201920202017by design

5.10 The numbers: selling

Before 201412 sales2014–201717 sales2018–20199 salesAfter 20199 salesAll47 salesReal difference?
Days on market median2868464343unclear
Discount from original list average4.4%5.5%5.0%3.4%4.7%unclear
Price cut before sale42%47%56%44%47%unclear
Seller paid closing costs or repairs58%71%100%56%70%unclear
Has a view42%18%0%11%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 8.3.3.

6. View and no viewResale homes · 47 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.

2026-10-26T06:59:14.690197 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 9 37 46 sales Sales per group View: 9 sales (20%) No view: 37 sales (80%)
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$595K$530Kunclear
Net price per SF$205 per SF$213 per SFunclear
Living area2,895 SF2,517 SFunclear
Year built20112017unclear
Days on market42 days43 daysunclear
Discount from original list5.5%4.6%unclear
Price cut before sale56%43%unclear
Seller paid closing costs or repairs89%65%unclear

6.3 Net sale price: no clear difference

2026-10-26T06:59:14.705884 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 9 sales No view 37 sales $0K $200K $400K $600K $595K $530K Net sale price, average

The average is $595K for homes with a view and $530K 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

2026-10-26T06:59:14.723760 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 9 sales No view 37 sales $0 $100 $200 $205 $213 Net price per SF, average

The average is $205 per SF for homes with a view and $213 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

2026-10-26T06:59:14.741760 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 9 sales No view 37 sales 0 1,000 2,000 3,000 2,895 2,517 Living area (SF), average

The average is 2,895 SF for homes with a view and 2,517 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-26T06:59:14.823122 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 9 sales No view 37 sales 2008 2012 2016 2011 2017 Year built: median (dot) and middle half (bar)

The median is 2011 for homes with a view and 2017 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-26T06:59:14.841088 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 9 sales No view 37 sales 0 20 40 42 43 Days on market, median

The median is 42 days for homes with a view and 43 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

2026-10-26T06:59:14.858676 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 9 sales No view 37 sales 0.0% 2.0% 4.0% 6.0% 5.5% 4.6% Discount from original list, average

The average is 5.5% for homes with a view and 4.6% 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

2026-10-26T06:59:14.877306 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 56 89 43 65 View No view

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

  • 56% of homes with a view had a price cut before sale, against 43% of homes without a view. Defined in 8.1.7.
  • 89% of homes with a view had the seller pay closing costs or repairs, against 65% 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

View9 salesNo view37 salesAll46 salesReal difference?
Net sale price average$594,917$530,463$543,073unclear
Net price per SF average$205$213$211unclear
Living area average2,8952,5172,591unclear
Year built median201120172017unclear

6.11 The numbers: selling

View9 salesNo view37 salesAll46 salesReal difference?
Days on market median424343unclear
Discount from original list average5.5%4.6%4.8%unclear
Price cut before sale56%43%46%unclear
Seller paid closing costs or repairs89%65%70%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 Highlands at Mayfield Ranch.

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
47 resale sales. Average $542,789; median $528,400; standard deviation $102,693; middle half (25th–75th percentile) $466,500–$622,071; lowest $398,500, highest $850,000. 33 sales had a seller payment; their median payment was $5,000.

8.1.2 Net price per SF

In simple terms
Net sale price divided by the heated and cooled square feet. It puts homes of different sizes on the same footing: did buyers pay more for each square foot, not just for more square feet?
Statistically
psf = Net ÷ LivingArea, per sale; summarized by the mean of the per-sale ratios.
The data
47 resale sales. Average $211; median $215; standard deviation $21; middle half (25th–75th percentile) $200–$228; lowest $153, highest $249.

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
47 resale sales. Average 2,588; median 2,540; standard deviation 513; middle half (25th–75th percentile) 2,254–2,954; lowest 1,635, highest 4,067.

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
47 resale sales. Average 2015; median 2017; standard deviation 6; middle half (25th–75th percentile) 2012–2019; lowest 2003, highest 2021.

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
47 resale sales. Average 66; median 43; standard deviation 73; middle half (25th–75th percentile) 21–78; lowest 4, highest 361. 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
47 resale sales. Average 4.7%; median 3.9%; standard deviation 3.9%; middle half (25th–75th percentile) 2.5%–7.0%; lowest −5.2%, highest 17.0%. 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
22 of 47 resale sales (46.8%).

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
33 of 47 resale sales (70.2%).

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
9 sales with a view, 37 without, 1 unclassified. Most common View entries: None 32, Neighborhood 7, Park/Greenbelt 5, Trees/Woods 3, Pool 2, See Remarks 1.

8.2 Methods

8.2.1 Data source

In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
Bridge Interactive RESO Web API (OData), ABOR dataset, every field returned. Filter: StandardStatus = Closed, PropertyType = Residential, City = Round Rock, SubdivisionName contains any of “highlands at mayfield ranch”, “highlands mayfield ranch”, “mayfield ranch”, “highlands at mayfield”, “highlands/mayfield ranch” (case-insensitive). A record is kept when its subdivision name belongs to the Highlands at Mayfield Ranch family, the same rule comparable sales use (it includes Highlands/Mayfield Ranch Sec 1, Mayfield Ranch, proven adjacent and priced alike).
The data
Pulled October 26, 2026: 47 closed Highlands at Mayfield Ranch records over the prior year, in ZIP 78681. 18 subdivision spellings kept, the most common: Highlands at Mayfield Ranch (13); HIGHLANDS AT MAYFIELD RANCH (4); Highlands/Mayfield Ranch Sec 8 (4); Mayfield Ranch (4); Highlands/Mayfield Ranch Sec 4 (3); Highlands/Mayfield Ranch Sec 1 (3); Highlands/Mayfield Ranch Sec 9 (2); Mayfield Ranch Sec 02 (2); Mayfield Ranch Sec 06 (2); Mayfield Ranch Sec 05 (2); Highlands/Mayfield Ranch Sec 5 (1); Highlands/Mayfield Ranch Sec 3 (1); and 6 more (6 records). Names found by the search but not part of Highlands at Mayfield Ranch, left out: Preserve/Mayfield Ranch Condos (2); Village/Mayfield Ranch Ph 2-B (1); VILLAGE AT MAYFIELD RANCH (1); Village At Mayfield Ranch Ph 03 (1); Village At Mayfield Ranch Ph 04 (1); Village At Mayfield Ranch Ph 2A (1); Village At Mayfield Ranch Ph 2B (1); Village Mayfield Ranch Ph 01 (1).

8.2.2 Study window

In simple terms
The most recent 365 days of closed sales: recent enough to describe today's market, long enough to give each group plenty of sales. The usual window is 180 days; it holds only 26 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
47 single-family sales in the window: 47 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
47 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 $468K”.
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 $468K: $398,500–$464,500 (12 sales); $468K–$528K: $468,500–$528,400 (12 sales); $530K–$615K: $529,700–$614,542 (11 sales); Over $615K: $629,600–$850,000 (12 sales)
Quartiles by living area: Under 2,260 SF: 1,635–2,249 SF (12 sales); 2,260–2,540 SF: 2,260–2,540 SF (12 sales); 2,547–2,916 SF: 2,547–2,916 SF (11 sales); Over 2,916 SF: 2,992–4,067 SF (12 sales)
Quartiles by year built: Before 2014: 2003–2011 (12 sales); 2014–2017: 2014–2017 (17 sales); 2018–2019: 2018–2019 (9 sales); After 2019: 2020–2021 (9 sales)
View and no view: View: MLS lists a view (9 sales); No view: None or Neighborhood (37 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 $542,789, median $528,400. Days on market: average 66, median 43: 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; Quartiles by year built: 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
3 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 = 8.0330.0454p < 0.0063Unclearε² = 0.175large
Living areaKruskal–WallisH = 29.853< 0.0001p < 0.0063Yesε² = 0.649large
Year builtKruskal–WallisH = 6.6530.0840p < 0.0063Unclearε² = 0.145large
Days on marketKruskal–WallisH = 4.6330.2014p < 0.0063Unclearε² = 0.101medium
Discount from original listKruskal–WallisH = 3.1330.3724p < 0.0063Unclearε² = 0.068medium
Price cut before saleChi-squareχ² = 0.6330.8897p < 0.0063UnclearCramér’s V = 0.116small
Seller paid closing costs or repairsChi-squareχ² = 1.3630.7151p < 0.0063UnclearCramér’s V = 0.170small
Has a viewChi-squareχ² = 1.6930.6395p < 0.0063UnclearCramér’s V = 0.190small

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 31.413< 0.0001p < 0.0063Yesε² = 0.683large
Net price per SFKruskal–WallisH = 8.0530.0450p < 0.0063Unclearε² = 0.175large
Year builtKruskal–WallisH = 3.7330.2921p < 0.0063Unclearε² = 0.081medium
Days on marketKruskal–WallisH = 1.0730.7836p < 0.0063Unclearε² = 0.023small
Discount from original listKruskal–WallisH = 0.9430.8149p < 0.0063Unclearε² = 0.021small
Price cut before saleChi-squareχ² = 0.2330.9720p < 0.0063UnclearCramér’s V = 0.071negligible
Seller paid closing costs or repairsChi-squareχ² = 2.1630.5406p < 0.0063UnclearCramér’s V = 0.214small
Has a viewChi-squareχ² = 5.7530.1244p < 0.0063UnclearCramér’s V = 0.350medium

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 0.3930.9414p < 0.0063Unclearε² = 0.009negligible
Net price per SFKruskal–WallisH = 15.7130.0013p < 0.0063Yesε² = 0.341large
Living areaKruskal–WallisH = 4.8930.1799p < 0.0063Unclearε² = 0.106medium
Days on marketKruskal–WallisH = 3.2030.3616p < 0.0063Unclearε² = 0.070medium
Discount from original listKruskal–WallisH = 1.2030.7536p < 0.0063Unclearε² = 0.026small
Price cut before saleChi-squareχ² = 0.4230.9351p < 0.0063UnclearCramér’s V = 0.095negligible
Seller paid closing costs or repairsChi-squareχ² = 5.5530.1355p < 0.0063UnclearCramér’s V = 0.344medium
Has a viewChi-squareχ² = 6.4630.0912p < 0.0063UnclearCramér’s V = 0.371medium

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 220.50—0.1385p < 0.0063Unclearrank-biserial r = 0.324medium
Net price per SFMann–Whitney UU = 124.00—0.2448p < 0.0063Unclearrank-biserial r = 0.255small
Living areaMann–Whitney UU = 235.50—0.0579p < 0.0063Unclearrank-biserial r = 0.414medium
Year builtMann–Whitney UU = 96.00—0.0499p < 0.0063Unclearrank-biserial r = 0.423medium
Days on marketMann–Whitney UU = 171.00—0.9118p < 0.0063Unclearrank-biserial r = 0.027negligible
Discount from original listMann–Whitney UU = 171.00—0.9118p < 0.0063Unclearrank-biserial r = 0.027negligible
Price cut before saleChi-squareχ² = 0.4410.5060p < 0.0063UnclearCramér’s V = 0.098negligible
Seller paid closing costs or repairsChi-squareχ² = 1.9710.1601p < 0.0063UnclearCramér’s V = 0.207small

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 47 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.