ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Teravista

Round Rock, TX 78665
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 · 6:57 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
64
single-family resale homes
Median net sale price
$468,532
average $509,362
Median net price per SF
$183
average $184
Median days on market
30 days
average 76 days
1. SummaryResale homes · 64 sales · October 26, 2025 – October 25, 2026

This study looks at the 64 resale homes sold in Teravista in the 365 days to October 25, 2026. A full year is used because only 28 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 sold64 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 $400K · 16 sales$400K–$462K · 16 sales$475K–$583K · 16 salesOver $583K · 16 sales
3. Quartiles by net sale priceResale homes · 64 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.

2026-10-26T06:57:26.686854 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 16 16 16 16 64 sales Sales per group Under $400K: 16 sales (25%) $400K–$462K: 16 sales (25%) $475K–$583K: 16 sales (25%) Over $583K: 16 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 $400K$400K–$462K$475K–$583KOver $583K
Higher-priced homes Over $583K
  • Are much larger.
  • Tend to be newer.
Lower-priced homes Under $400K
  • Are much smaller.
  • Tend to be older.

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 $400K$400K–$462K$475K–$583KOver $583KReal difference?
Net price per SF$182 per SF$184 per SF$175 per SF$194 per SFunclear
Living area2,084 SFSmallest2,448 SF3,001 SF3,732 SFLargest✓ large
Year built2005Oldest200820082012Newest✓ large
Days on market76 days52 days25 days21 daysunclear
Discount from original list7.7%5.7%7.0%6.0%unclear
Price cut before sale56%44%50%38%unclear
Seller paid closing costs or repairs56%69%62%62%unclear
Has a view25%25%38%62%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

2026-10-26T06:57:26.716439 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $400K 16 sales $400K– $462K 16 sales $475K– $583K 16 sales Over $583K 16 sales $0 $100 $200 $182 $184 $175 $194 Net price per SF, average

The average is $194 per SF for homes over $583K and $182 per SF for homes under $400K. It does not move in a straight line; homes over $583K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Homes over $583K are about 1,650 SF (79%) larger than homes under $400K

2026-10-26T06:57:26.739312 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $400K 16 sales $400K– $462K 16 sales $475K– $583K 16 sales Over $583K 16 sales 0 2,000 4,000 2,084 2,448 3,001 3,732 Living area (SF), average

The average is 3,732 SF for homes over $583K and 2,084 SF for homes under $400K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

✓ Real difference · large

3.5 Homes over $583K are about 6 years newer than homes under $400K

2026-10-26T06:57:26.762908 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $400K 16 sales $400K– $462K 16 sales $475K– $583K 16 sales Over $583K 16 sales 2005 2008 2011 2005 2008 2008 2012 Year built: median (dot) and middle half (bar)

The median is 2012 for homes over $583K and 2005 for homes under $400K. It rises step by step from the lowest range to the highest. Defined in 8.1.4.

✓ Real difference · large

3.6 Days on market: no clear difference

2026-10-26T06:57:26.786486 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $400K 16 sales $400K– $462K 16 sales $475K– $583K 16 sales Over $583K 16 sales 0 25 50 75 76 52 25 21 Days on market, median

The median is 21 days for homes over $583K and 76 days for homes under $400K. It falls step by step from the lowest range to the highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-26T06:57:26.809232 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $400K 16 sales $400K– $462K 16 sales $475K– $583K 16 sales Over $583K 16 sales 0.0% 2.5% 5.0% 7.5% 7.7% 5.7% 7.0% 6.0% Discount from original list, average

The average is 6.0% for homes over $583K and 7.7% for homes under $400K. It does not move in a straight line; homes under $400K 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

2026-10-26T06:57:26.840862 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% 56 56 25 44 69 25 50 62 38 38 62 62 Under $400K $400K–$462K $475K–$583K Over $583K

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

  • 38% of homes over $583K had a price cut before sale, against 56% of homes under $400K. Defined in 8.1.7.
  • 62% of homes over $583K had the seller pay closing costs or repairs, against 56% of homes under $400K. Defined in 8.1.8.
  • 62% of homes over $583K have a view, against 25% of homes under $400K. 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 $400K16 sales$400K–$462K16 sales$475K–$583K16 salesOver $583K16 salesAll64 salesReal difference?
Net sale price average$368,987$436,295$517,520$714,646$509,362by design
Net price per SF average$182$184$175$194$184unclear
Living area average2,0842,4483,0013,7322,816✓ large
Year built median20052008200820122008✓ large

3.10 The numbers: selling

Under $400K16 sales$400K–$462K16 sales$475K–$583K16 salesOver $583K16 salesAll64 salesReal difference?
Days on market median7652252130unclear
Discount from original list average7.7%5.7%7.0%6.0%6.6%unclear
Price cut before sale56%44%50%38%47%unclear
Seller paid closing costs or repairs56%69%62%62%62%unclear
Has a view25%25%38%62%38%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 · 64 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.

2026-10-26T06:57:26.861839 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 16 16 16 16 64 sales Sales per group Under 2,274 SF: 16 sales (25%) 2,274–2,708 SF: 16 sales (25%) 2,740–3,252 SF: 16 sales (25%) Over 3,252 SF: 16 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 2,274 SF2,274–2,708 SF2,740–3,252 SFOver 3,252 SF
Larger homes Over 3,252 SF
  • Sell for much more.
  • Sell for less per square foot.
Smaller homes Under 2,274 SF
  • Sell for much less.
  • 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 2,274 SF2,274–2,708 SF2,740–3,252 SFOver 3,252 SFReal difference?
Net sale price$392KLowest$446K$498K$702KHighest✓ large
Net price per SF$209 per SFHighest$179 per SF$168 per SFLowest$179 per SF✓ large
Year built2006200820072011unclear
Days on market50 days58 days36 days26 daysunclear
Discount from original list4.7%6.7%7.1%8.0%unclear
Price cut before sale50%50%44%44%unclear
Seller paid closing costs or repairs50%69%62%69%unclear
Has a view38%19%50%44%unclear

4.3 Homes over 3,252 SF sell for about $310K (79%) more than homes under 2,274 SF

2026-10-26T06:57:26.883450 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,274 SF 16 sales 2,274– 2,708 SF 16 sales 2,740– 3,252 SF 16 sales Over 3,252 SF 16 sales $0K $250K $500K $750K $392K $446K $498K $702K Net sale price, average

The average is $702K for homes over 3,252 SF and $392K for homes under 2,274 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

✓ Real difference · large

4.4 Homes over 3,252 SF sell for about $30 per SF (14%) less than homes under 2,274 SF

2026-10-26T06:57:26.907251 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,274 SF 16 sales 2,274– 2,708 SF 16 sales 2,740– 3,252 SF 16 sales Over 3,252 SF 16 sales $0 $100 $200 $209 $179 $168 $179 Net price per SF, average

The average is $179 per SF for homes over 3,252 SF and $209 per SF for homes under 2,274 SF. It does not move in a straight line; homes under 2,274 SF are highest. Defined in 8.1.2.

✓ Real difference · large

4.5 Year built: no clear difference

2026-10-26T06:57:26.930374 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,274 SF 16 sales 2,274– 2,708 SF 16 sales 2,740– 3,252 SF 16 sales Over 3,252 SF 16 sales 2005 2008 2011 2006 2008 2007 2011 Year built: median (dot) and middle half (bar)

The median is 2011 for homes over 3,252 SF and 2006 for homes under 2,274 SF. It does not move in a straight line; homes over 3,252 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-10-26T06:57:26.953464 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,274 SF 16 sales 2,274– 2,708 SF 16 sales 2,740– 3,252 SF 16 sales Over 3,252 SF 16 sales 0 20 40 60 50 58 36 26 Days on market, median

The median is 26 days for homes over 3,252 SF and 50 days for homes under 2,274 SF. It does not move in a straight line; homes 2,274–2,708 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-26T06:57:26.976602 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,274 SF 16 sales 2,274– 2,708 SF 16 sales 2,740– 3,252 SF 16 sales Over 3,252 SF 16 sales 0.0% 2.5% 5.0% 7.5% 4.7% 6.7% 7.1% 8.0% Discount from original list, average

The average is 8.0% for homes over 3,252 SF and 4.7% for homes under 2,274 SF. It rises step by step from the lowest range to the 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

2026-10-26T06:57:27.004277 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 38 50 69 19 44 62 50 44 69 44 Under 2,274 SF 2,274–2,708 SF 2,740–3,252 SF Over 3,252 SF

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

  • 44% of homes over 3,252 SF had a price cut before sale, against 50% of homes under 2,274 SF. Defined in 8.1.7.
  • 69% of homes over 3,252 SF had the seller pay closing costs or repairs, against 50% of homes under 2,274 SF. Defined in 8.1.8.
  • 44% of homes over 3,252 SF have a view, against 38% of homes under 2,274 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 2,274 SF16 sales2,274–2,708 SF16 sales2,740–3,252 SF16 salesOver 3,252 SF16 salesAll64 salesReal difference?
Net sale price average$391,518$446,024$498,102$701,805$509,362✓ large
Net price per SF average$209$179$168$179$184✓ large
Living area average1,8802,4952,9713,9182,816by design
Year built median20062008200720112008unclear

4.10 The numbers: selling

Under 2,274 SF16 sales2,274–2,708 SF16 sales2,740–3,252 SF16 salesOver 3,252 SF16 salesAll64 salesReal difference?
Days on market median5058362630unclear
Discount from original list average4.7%6.7%7.1%8.0%6.6%unclear
Price cut before sale50%50%44%44%47%unclear
Seller paid closing costs or repairs50%69%62%69%62%unclear
Has a view38%19%50%44%38%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 · 64 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.

2026-10-26T06:57:27.025541 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 14 17 13 20 64 sales Sales per group Before 2005: 14 sales (22%) 2005–2007: 17 sales (27%) 2008–2010: 13 sales (20%) After 2010: 20 sales (31%)
Bottom line

5.1 Key differences

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

Before 20052005–20072008–2010After 2010
Newer homes After 2010
  • Sell for much more.
Older homes Before 2005
  • Sell for much less.

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 20052005–20072008–2010After 2010Real difference?
Net sale price$419KLowest$453K$492K$632KHighest✓ large
Net price per SF$178 per SF$170 per SF$184 per SF$199 per SFunclear
Living area2,397 SF2,773 SF2,713 SF3,213 SFunclear
Days on market44 days29 days54 days22 daysunclear
Discount from original list4.7%8.6%6.8%6.1%unclear
Price cut before sale36%47%54%50%unclear
Seller paid closing costs or repairs50%65%62%70%unclear
Has a view36%29%31%50%unclear

5.3 Homes built after 2010 sell for about $213K (51%) more than homes built before 2005

2026-10-26T06:57:27.046967 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2005 14 sales 2005– 2007 17 sales 2008– 2010 13 sales After 2010 20 sales $0K $200K $400K $600K $419K $453K $492K $632K Net sale price, average

The average is $632K for homes built after 2010 and $419K for homes built before 2005. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

✓ Real difference · large

5.4 Net price per SF: no clear difference

2026-10-26T06:57:27.071097 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2005 14 sales 2005– 2007 17 sales 2008– 2010 13 sales After 2010 20 sales $0 $100 $200 $178 $170 $184 $199 Net price per SF, average

The average is $199 per SF for homes built after 2010 and $178 per SF for homes built before 2005. It does not move in a straight line; homes built after 2010 are highest. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-10-26T06:57:27.093343 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2005 14 sales 2005– 2007 17 sales 2008– 2010 13 sales After 2010 20 sales 0 1,000 2,000 3,000 2,397 2,773 2,713 3,213 Living area (SF), average

The average is 3,213 SF for homes built after 2010 and 2,397 SF for homes built before 2005. It does not move in a straight line; homes built after 2010 are highest. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-10-26T06:57:27.115769 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2005 14 sales 2005– 2007 17 sales 2008– 2010 13 sales After 2010 20 sales 0 20 40 60 44 29 54 22 Days on market, median

The median is 22 days for homes built after 2010 and 44 days for homes built before 2005. It does not move in a straight line; homes built 2008–2010 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-10-26T06:57:27.139809 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2005 14 sales 2005– 2007 17 sales 2008– 2010 13 sales After 2010 20 sales 0.0% 5.0% 10.0% 4.7% 8.6% 6.8% 6.1% Discount from original list, average

The average is 6.1% for homes built after 2010 and 4.7% for homes built before 2005. It does not move in a straight line; homes built 2005–2007 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

2026-10-26T06:57:27.166017 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% 36 50 36 47 65 29 54 62 31 50 70 50 Before 2005 2005–2007 2008–2010 After 2010

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

  • 50% of homes built after 2010 had a price cut before sale, against 36% of homes built before 2005. Defined in 8.1.7.
  • 70% of homes built after 2010 had the seller pay closing costs or repairs, against 50% of homes built before 2005. Defined in 8.1.8.
  • 50% of homes built after 2010 have a view, against 36% of homes built before 2005. 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 200514 sales2005–200717 sales2008–201013 salesAfter 201020 salesAll64 salesReal difference?
Net sale price average$418,678$453,222$492,024$631,829$509,362✓ large
Net price per SF average$178$170$184$199$184unclear
Living area average2,3972,7732,7133,2132,816unclear
Year built median20032006200920122008by design

5.10 The numbers: selling

Before 200514 sales2005–200717 sales2008–201013 salesAfter 201020 salesAll64 salesReal difference?
Days on market median4429542230unclear
Discount from original list average4.7%8.6%6.8%6.1%6.6%unclear
Price cut before sale36%47%54%50%47%unclear
Seller paid closing costs or repairs50%65%62%70%62%unclear
Has a view36%29%31%50%38%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 · 64 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. 3 sales whose MLS view entry is only “See Remarks” are left out.

2026-10-26T06:57:27.185349 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 24 37 61 sales Sales per group View: 24 sales (39%) No view: 37 sales (61%)
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$563K$475Kunclear
Net price per SF$194 per SF$178 per SFunclear
Living area2,965 SF2,710 SFunclear
Year built20082007unclear
Days on market22 days42 daysunclear
Discount from original list5.9%6.9%unclear
Price cut before sale46%46%unclear
Seller paid closing costs or repairs54%65%unclear

6.3 Net sale price: no clear difference

2026-10-26T06:57:27.201758 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 24 sales No view 37 sales $0K $200K $400K $600K $563K $475K Net sale price, average

The average is $563K for homes with a view and $475K 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

2026-10-26T06:57:27.220791 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 24 sales No view 37 sales $0 $50 $100 $150 $200 $194 $178 Net price per SF, average

The average is $194 per SF for homes with a view and $178 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

2026-10-26T06:57:27.239143 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 24 sales No view 37 sales 0 1,000 2,000 3,000 2,965 2,710 Living area (SF), average

The average is 2,965 SF for homes with a view and 2,710 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-26T06:57:27.340829 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 24 sales No view 37 sales 2006 2008 2010 2012 2008 2007 Year built: median (dot) and middle half (bar)

The median is 2008 for homes with a view and 2007 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-26T06:57:27.359956 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 24 sales No view 37 sales 0 20 40 22 42 Days on market, median

The median is 22 days for homes with a view and 42 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

2026-10-26T06:57:27.379579 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 24 sales No view 37 sales 0.0% 2.0% 4.0% 6.0% 8.0% 5.9% 6.9% Discount from original list, average

The average is 5.9% for homes with a view and 6.9% 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

2026-10-26T06:57:27.399356 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 46 54 46 65 View No view

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

  • 46% of homes with a view had a price cut before sale, against 46% of homes without a view. Defined in 8.1.7.
  • 54% 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

View24 salesNo view37 salesAll61 salesReal difference?
Net sale price average$563,326$474,568$509,489unclear
Net price per SF average$194$178$184unclear
Living area average2,9652,7102,810unclear
Year built median200820072008unclear

6.11 The numbers: selling

View24 salesNo view37 salesAll61 salesReal difference?
Days on market median224230unclear
Discount from original list average5.9%6.9%6.5%unclear
Price cut before sale46%46%46%unclear
Seller paid closing costs or repairs54%65%61%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 Teravista.

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
64 resale sales. Average $509,362; median $468,532; standard deviation $147,373; middle half (25th–75th percentile) $398,750–$584,741; lowest $307,838, highest $967,389. 40 sales had a seller payment; their median payment was $9,350.

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
64 resale sales. Average $184; median $183; standard deviation $28; middle half (25th–75th percentile) $162–$210; lowest $125, highest $239.

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
64 resale sales. Average 2,816; median 2,724; standard deviation 808; middle half (25th–75th percentile) 2,266–3,274; lowest 1,473, highest 4,768.

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
64 resale sales. Average 2008; median 2008; standard deviation 4; middle half (25th–75th percentile) 2005–2011; lowest 2002, highest 2017.

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
64 resale sales. Average 76; median 30; standard deviation 108; middle half (25th–75th percentile) 10–98; lowest 2, highest 611. 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
64 resale sales. Average 6.6%; median 5.6%; standard deviation 5.9%; middle half (25th–75th percentile) 1.6%–10.0%; lowest −1.9%, highest 32.7%. 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
30 of 64 resale sales (46.9%).

8.1.8 Seller paid closing costs or repairs

In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
40 of 64 resale sales (62.5%).

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
24 sales with a view, 37 without, 3 unclassified. Most common View entries: None 27, Neighborhood 20, Golf Course 11, Park/Greenbelt 8, See Remarks 4, Trees/Woods 3, Panoramic 3, Pool 2.

8.2 Methods

8.2.1 Data source

In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
Bridge Interactive RESO Web API (OData), ABOR dataset, every field returned. Filter: StandardStatus = Closed, PropertyType = Residential, City = Round Rock, SubdivisionName contains any of “teravista” (case-insensitive). A record is kept when its subdivision name belongs to the Teravista family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 65 closed Teravista records over the prior year, in ZIP 78665. 24 subdivision spellings kept, the most common: Teravista (16); Teravista Sec 08 (6); Teravista Sec 07 (5); Teravista Sec 21 (5); Teravista Sec 13B (5); Teravista Sec 14B (4); Teravista Sec 23 (2); Teravista Sec 15b (2); Teravista Sec 12 Amd (2); Teravista Sec 10A (2); Teravista Sec 16A (2); Teravista Sec 09 (2); and 12 more (12 records). Names found by the search but not part of Teravista, left out: Rd Only Teravista Sec 12 Amd (2); Gardens At Teravista (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 28 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
64 single-family sales in the window: 64 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
64 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
1 sale(s) other than single-family homes (condo, townhome and similar)

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 $400K”.
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 $400K: $307,838–$395,000 (16 sales); $400K–$462K: $400,000–$462,250 (16 sales); $475K–$583K: $474,815–$583,000 (16 sales); Over $583K: $589,965–$967,389 (16 sales)
Quartiles by living area: Under 2,274 SF: 1,473–2,240 SF (16 sales); 2,274–2,708 SF: 2,274–2,708 SF (16 sales); 2,740–3,252 SF: 2,740–3,252 SF (16 sales); Over 3,252 SF: 3,342–4,768 SF (16 sales)
Quartiles by year built: Before 2005: 2002–2004 (14 sales); 2005–2007: 2005–2007 (17 sales); 2008–2010: 2008–2010 (13 sales); After 2010: 2011–2017 (20 sales)
View and no view: View: MLS lists a view (24 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 $509,362, median $468,532. Days on market: average 76, median 30: 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
5 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 = 3.8230.2812p < 0.0063Unclearε² = 0.061medium
Living areaKruskal–WallisH = 39.123< 0.0001p < 0.0063Yesε² = 0.621large
Year builtKruskal–WallisH = 19.4330.0002p < 0.0063Yesε² = 0.308large
Days on marketKruskal–WallisH = 3.5930.3091p < 0.0063Unclearε² = 0.057small
Discount from original listKruskal–WallisH = 1.2730.7373p < 0.0063Unclearε² = 0.020small
Price cut before saleChi-squareχ² = 1.2530.7399p < 0.0063UnclearCramér’s V = 0.140small
Seller paid closing costs or repairsChi-squareχ² = 0.5330.9115p < 0.0063UnclearCramér’s V = 0.091negligible
Has a viewChi-squareχ² = 6.4030.0937p < 0.0063UnclearCramér’s V = 0.316medium

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 41.693< 0.0001p < 0.0063Yesε² = 0.662large
Net price per SFKruskal–WallisH = 18.6930.0003p < 0.0063Yesε² = 0.297large
Year builtKruskal–WallisH = 10.5030.0148p < 0.0063Unclearε² = 0.167large
Days on marketKruskal–WallisH = 1.0830.7820p < 0.0063Unclearε² = 0.017small
Discount from original listKruskal–WallisH = 3.0130.3901p < 0.0063Unclearε² = 0.048small
Price cut before saleChi-squareχ² = 0.2530.9690p < 0.0063UnclearCramér’s V = 0.063negligible
Seller paid closing costs or repairsChi-squareχ² = 1.6030.6594p < 0.0063UnclearCramér’s V = 0.158small
Has a viewChi-squareχ² = 3.7330.2917p < 0.0063UnclearCramér’s V = 0.242small

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 20.9130.0001p < 0.0063Yesε² = 0.332large
Net price per SFKruskal–WallisH = 10.6330.0139p < 0.0063Unclearε² = 0.169large
Living areaKruskal–WallisH = 6.9830.0726p < 0.0063Unclearε² = 0.111medium
Days on marketKruskal–WallisH = 4.0330.2580p < 0.0063Unclearε² = 0.064medium
Discount from original listKruskal–WallisH = 3.7330.2921p < 0.0063Unclearε² = 0.059small
Price cut before saleChi-squareχ² = 1.0330.7934p < 0.0063UnclearCramér’s V = 0.127small
Seller paid closing costs or repairsChi-squareχ² = 1.4530.6930p < 0.0063UnclearCramér’s V = 0.151small
Has a viewChi-squareχ² = 2.0830.5563p < 0.0063UnclearCramér’s V = 0.180small

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 586.00—0.0367p < 0.0063Unclearrank-biserial r = 0.320medium
Net price per SFMann–Whitney UU = 589.00—0.0329p < 0.0063Unclearrank-biserial r = 0.327medium
Living areaMann–Whitney UU = 514.00—0.3049p < 0.0063Unclearrank-biserial r = 0.158small
Year builtMann–Whitney UU = 524.00—0.2387p < 0.0063Unclearrank-biserial r = 0.180small
Days on marketMann–Whitney UU = 338.00—0.1193p < 0.0063Unclearrank-biserial r = 0.239small
Discount from original listMann–Whitney UU = 411.00—0.6314p < 0.0063Unclearrank-biserial r = 0.074negligible
Price cut before saleChi-squareχ² = 0.0010.9931p < 0.0063UnclearCramér’s V = 0.001negligible
Seller paid closing costs or repairsChi-squareχ² = 0.7010.4034p < 0.0063UnclearCramér’s V = 0.107small

8.4 Data notes

Left out of the analysis: 0 new-construction sales (basic statistics only, section 7); 1 sale(s) other than single-family homes (condo, townhome and similar). 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 64 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.