ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Lago Vista

Lago Vista, TX 78645
Resale homes · closed Nov 6 – Nov 5, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
November 6, 2026 · 7:49 AM CST
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
30
single-family resale homes
Median net sale price
$373,560
average $410,809
Median net price per SF
$215
average $235
Median days on market
29 days
average 54 days
1. SummaryResale homes · 30 sales · November 6, 2025 – November 5, 2026

This study looks at the 30 resale homes sold in Lago Vista in the 365 days to November 5, 2026. A full year is used because only 16 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 sold30 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 $320K · 8 sales$320K–$373K · 7 sales$374K–$412K · 7 salesOver $412K · 8 sales
3. Quartiles by net sale priceResale homes · 30 sales · November 6, 2025 – November 5, 2026

Sales ranked by net sale price and cut into four equal groups. This is the usual way to read a market by price.

2026-11-06T07:49:26.336803 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 8 7 7 8 30 sales Sales per group Under $320K: 8 sales (27%) $320K–$373K: 7 sales (23%) $374K–$412K: 7 sales (23%) Over $412K: 8 sales (27%)
Bottom line

3.1 Key differences

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

Under $320K$320K–$373K$374K–$412KOver $412K
Higher-priced homes Over $412K
  • Are much larger.
Lower-priced homes Under $320K
  • 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 $320K$320K–$373K$374K–$412KOver $412KReal difference?
Net price per SF$187 per SF$234 per SF$228 per SF$289 per SFunclear
Living area1,402 SFSmallest1,480 SF1,787 SF2,316 SFLargest✓ large
Year built2016201520172004unclear
Days on market26 days21 days68 days25 daysunclear
Discount from original list4.0%2.3%8.5%6.4%unclear
Price cut before sale25%29%57%38%unclear
Seller paid closing costs or repairs50%86%86%75%unclear
Has a view75%57%100%88%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

2026-11-06T07:49:26.364715 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $320K 8 sales $320K– $373K 7 sales $374K– $412K 7 sales Over $412K 8 sales $0 $100 $200 $300 $187 $234 $228 $289 Net price per SF, average

The average is $289 per SF for homes over $412K and $187 per SF for homes under $320K. It does not move in a straight line; homes over $412K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Homes over $412K are about 910 SF (65%) larger than homes under $320K

2026-11-06T07:49:26.387639 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $320K 8 sales $320K– $373K 7 sales $374K– $412K 7 sales Over $412K 8 sales 0 1,000 2,000 1,402 1,480 1,787 2,316 Living area (SF), average

The average is 2,316 SF for homes over $412K and 1,402 SF for homes under $320K. 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

2026-11-06T07:49:26.411344 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $320K 8 sales $320K– $373K 7 sales $374K– $412K 7 sales Over $412K 8 sales 1992 2000 2008 2016 2016 2015 2017 2004 Year built: median (dot) and middle half (bar)

The median is 2004 for homes over $412K and 2016 for homes under $320K. It does not move in a straight line; homes $374K–$412K are highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-11-06T07:49:26.434391 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $320K 8 sales $320K– $373K 7 sales $374K– $412K 7 sales Over $412K 8 sales 0 25 50 75 26 21 68 25 Days on market, median

The median is 25 days for homes over $412K and 26 days for homes under $320K. It does not move in a straight line; homes $374K–$412K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-11-06T07:49:26.456620 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $320K 8 sales $320K– $373K 7 sales $374K– $412K 7 sales Over $412K 8 sales 0.0% 5.0% 10.0% 4.0% 2.3% 8.5% 6.4% Discount from original list, average

The average is 6.4% for homes over $412K and 4.0% for homes under $320K. It does not move in a straight line; homes $374K–$412K 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

2026-11-06T07:49:26.486293 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% 25 50 75 29 86 57 57 86 100 38 75 88 Under $320K $320K–$373K $374K–$412K Over $412K

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

  • 38% of homes over $412K had a price cut before sale, against 25% of homes under $320K. Defined in 8.1.7.
  • 75% of homes over $412K had the seller pay closing costs or repairs, against 50% of homes under $320K. Defined in 8.1.8.
  • 88% of homes over $412K have a view, against 75% of homes under $320K. 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 $320K8 sales$320K–$373K7 sales$374K–$412K7 salesOver $412K8 salesAll30 salesReal difference?
Net sale price average$258,281$335,006$397,347$641,445$410,809by design
Net price per SF average$187$234$228$289$235unclear
Living area average1,4021,4801,7872,3161,754✓ large
Year built median20162015201720042016unclear

3.10 The numbers: selling

Under $320K8 sales$320K–$373K7 sales$374K–$412K7 salesOver $412K8 salesAll30 salesReal difference?
Days on market median2621682529unclear
Discount from original list average4.0%2.3%8.5%6.4%5.3%unclear
Price cut before sale25%29%57%38%37%unclear
Seller paid closing costs or repairs50%86%86%75%73%unclear
Has a view75%57%100%88%80%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 · 30 sales · November 6, 2025 – November 5, 2026

Sales ranked by living area and cut into four equal groups, from the smallest homes to the largest.

2026-11-06T07:49:26.506838 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 8 7 7 8 30 sales Sales per group Under 1,456 SF: 8 sales (27%) 1,456–1,554 SF: 7 sales (23%) 1,556–1,971 SF: 7 sales (23%) Over 1,971 SF: 8 sales (27%)
Bottom line

4.1 Key differences

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

Under 1,456 SF1,456–1,554 SF1,556–1,971 SFOver 1,971 SF
Larger homes Over 1,971 SF
  • Sell for much more.
Smaller homes Under 1,456 SF
  • Sell for much less.

4.2 At a glance

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

Under 1,456 SF1,456–1,554 SF1,556–1,971 SFOver 1,971 SFReal difference?
Net sale price$318KLowest$353K$384K$578KHighest✓ large
Net price per SF$253 per SF$232 per SF$212 per SF$239 per SFunclear
Year built2016199720202004unclear
Days on market29 days21 days32 days56 daysunclear
Discount from original list2.2%5.6%4.7%8.7%unclear
Price cut before sale25%29%43%50%unclear
Seller paid closing costs or repairs50%71%86%88%unclear
Has a view100%57%57%100%unclear

4.3 Homes over 1,971 SF sell for about $260K (82%) more than homes under 1,456 SF

2026-11-06T07:49:26.527058 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,456 SF 8 sales 1,456– 1,554 SF 7 sales 1,556– 1,971 SF 7 sales Over 1,971 SF 8 sales $0K $200K $400K $600K $318K $353K $384K $578K Net sale price, average

The average is $578K for homes over 1,971 SF and $318K for homes under 1,456 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

2026-11-06T07:49:26.549665 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,456 SF 8 sales 1,456– 1,554 SF 7 sales 1,556– 1,971 SF 7 sales Over 1,971 SF 8 sales $0 $100 $200 $300 $253 $232 $212 $239 Net price per SF, average

The average is $239 per SF for homes over 1,971 SF and $253 per SF for homes under 1,456 SF. It does not move in a straight line; homes under 1,456 SF are highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-11-06T07:49:26.574319 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,456 SF 8 sales 1,456– 1,554 SF 7 sales 1,556– 1,971 SF 7 sales Over 1,971 SF 8 sales 1980 1990 2000 2010 2020 2016 1997 2020 2004 Year built: median (dot) and middle half (bar)

The median is 2004 for homes over 1,971 SF and 2016 for homes under 1,456 SF. It does not move in a straight line; homes 1,556–1,971 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-11-06T07:49:26.597678 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,456 SF 8 sales 1,456– 1,554 SF 7 sales 1,556– 1,971 SF 7 sales Over 1,971 SF 8 sales 0 20 40 60 29 21 32 56 Days on market, median

The median is 56 days for homes over 1,971 SF and 29 days for homes under 1,456 SF. It does not move in a straight line; homes over 1,971 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-11-06T07:49:26.619724 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,456 SF 8 sales 1,456– 1,554 SF 7 sales 1,556– 1,971 SF 7 sales Over 1,971 SF 8 sales 0.0% 5.0% 10.0% 2.2% 5.6% 4.7% 8.7% Discount from original list, average

The average is 8.7% for homes over 1,971 SF and 2.2% for homes under 1,456 SF. It does not move in a straight line; homes over 1,971 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

2026-11-06T07:49:26.645439 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% 25 50 100 29 71 57 43 86 57 50 88 100 Under 1,456 SF 1,456–1,554 SF 1,556–1,971 SF Over 1,971 SF

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

  • 50% of homes over 1,971 SF had a price cut before sale, against 25% of homes under 1,456 SF. Defined in 8.1.7.
  • 88% of homes over 1,971 SF had the seller pay closing costs or repairs, against 50% of homes under 1,456 SF. Defined in 8.1.8.
  • 100% of homes over 1,971 SF have a view, against 100% of homes under 1,456 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 1,456 SF8 sales1,456–1,554 SF7 sales1,556–1,971 SF7 salesOver 1,971 SF8 salesAll30 salesReal difference?
Net sale price average$317,693$352,929$384,097$577,945$410,809✓ large
Net price per SF average$253$232$212$239$235unclear
Living area average1,2701,5101,8012,4101,754by design
Year built median20161997202020042016unclear

4.10 The numbers: selling

Under 1,456 SF8 sales1,456–1,554 SF7 sales1,556–1,971 SF7 salesOver 1,971 SF8 salesAll30 salesReal difference?
Days on market median2921325629unclear
Discount from original list average2.2%5.6%4.7%8.7%5.3%unclear
Price cut before sale25%29%43%50%37%unclear
Seller paid closing costs or repairs50%71%86%88%73%unclear
Has a view100%57%57%100%80%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 · 30 sales · November 6, 2025 – November 5, 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.

2026-11-06T07:49:26.666491 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 8 7 6 9 30 sales Sales per group Before 1998: 8 sales (27%) 1998–2015: 7 sales (23%) 2016–2017: 6 sales (20%) After 2017: 9 sales (30%)
Bottom line: no measure differs enough between the groups to rule out chance.

5.1 Key differences

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

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 19981998–20152016–2017After 2017Real difference?
Net sale price$357K$552K$353K$388Kunclear
Net price per SF$239 per SF$247 per SF$235 per SF$221 per SFunclear
Living area1,522 SF2,218 SF1,520 SF1,755 SFunclear
Days on market16 days41 days20 days44 daysunclear
Discount from original list3.1%9.7%2.8%5.4%unclear
Price cut before sale25%43%17%56%unclear
Seller paid closing costs or repairs75%86%50%78%unclear
Has a view88%86%100%56%unclear

5.3 Net sale price: no clear difference

2026-11-06T07:49:26.686738 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1998 8 sales 1998– 2015 7 sales 2016– 2017 6 sales After 2017 9 sales $0K $200K $400K $600K $357K $552K $353K $388K Net sale price, average

The average is $388K for homes built after 2017 and $357K for homes built before 1998. It does not move in a straight line; homes built 1998–2015 are highest. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-11-06T07:49:26.709866 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1998 8 sales 1998– 2015 7 sales 2016– 2017 6 sales After 2017 9 sales $0 $100 $200 $239 $247 $235 $221 Net price per SF, average

The average is $221 per SF for homes built after 2017 and $239 per SF for homes built before 1998. It does not move in a straight line; homes built 1998–2015 are highest. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-11-06T07:49:26.731718 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1998 8 sales 1998– 2015 7 sales 2016– 2017 6 sales After 2017 9 sales 0 1,000 2,000 1,522 2,218 1,520 1,755 Living area (SF), average

The average is 1,755 SF for homes built after 2017 and 1,522 SF for homes built before 1998. It does not move in a straight line; homes built 1998–2015 are highest. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-11-06T07:49:26.753329 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1998 8 sales 1998– 2015 7 sales 2016– 2017 6 sales After 2017 9 sales 0 20 40 16 41 20 44 Days on market, median

The median is 44 days for homes built after 2017 and 16 days for homes built before 1998. It does not move in a straight line; homes built after 2017 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-11-06T07:49:26.775935 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1998 8 sales 1998– 2015 7 sales 2016– 2017 6 sales After 2017 9 sales 0.0% 5.0% 10.0% 3.1% 9.7% 2.8% 5.4% Discount from original list, average

The average is 5.4% for homes built after 2017 and 3.1% for homes built before 1998. It does not move in a straight line; homes built 1998–2015 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

2026-11-06T07:49:26.801165 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% 25 75 88 43 86 86 17 50 100 56 78 56 Before 1998 1998–2015 2016–2017 After 2017

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

  • 56% of homes built after 2017 had a price cut before sale, against 25% of homes built before 1998. Defined in 8.1.7.
  • 78% of homes built after 2017 had the seller pay closing costs or repairs, against 75% of homes built before 1998. Defined in 8.1.8.
  • 56% of homes built after 2017 have a view, against 88% of homes built before 1998. 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 19988 sales1998–20157 sales2016–20176 salesAfter 20179 salesAll30 salesReal difference?
Net sale price average$356,630$551,701$352,775$388,076$410,809unclear
Net price per SF average$239$247$235$221$235unclear
Living area average1,5222,2181,5201,7551,754unclear
Year built median19822004201720202016by design

5.10 The numbers: selling

Before 19988 sales1998–20157 sales2016–20176 salesAfter 20179 salesAll30 salesReal difference?
Days on market median1641204429unclear
Discount from original list average3.1%9.7%2.8%5.4%5.3%unclear
Price cut before sale25%43%17%56%37%unclear
Seller paid closing costs or repairs75%86%50%78%73%unclear
Has a view88%86%100%56%80%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 · 30 sales · November 6, 2025 – November 5, 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.

2026-11-06T07:49:26.819636 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 24 5 29 sales Sales per group View: 24 sales (83%) No view: 5 sales (17%)
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$434K$373Kunclear
Net price per SF$247 per SF$216 per SFunclear
Living area1,774 SF1,717 SFunclear
Year built20062020unclear
Days on market24 days32 daysunclear
Discount from original list4.8%4.0%unclear
Price cut before sale33%60%unclear
Seller paid closing costs or repairs75%80%unclear

6.3 Net sale price: no clear difference

2026-11-06T07:49:26.835707 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 24 sales No view 5 sales $0K $200K $400K $434K $373K Net sale price, average

The average is $434K for homes with a view and $373K 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

2026-11-06T07:49:26.853015 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 24 sales No view 5 sales $0 $100 $200 $247 $216 Net price per SF, average

The average is $247 per SF for homes with a view and $216 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

2026-11-06T07:49:26.871521 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 24 sales No view 5 sales 0 500 1,000 1,500 2,000 1,774 1,717 Living area (SF), average

The average is 1,774 SF for homes with a view and 1,717 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-11-06T07:49:26.911354 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 24 sales No view 5 sales 1998 2004 2010 2016 2006 2020 Year built: median (dot) and middle half (bar)

The median is 2006 for homes with a view and 2020 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-11-06T07:49:26.928681 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 24 sales No view 5 sales 0 10 20 30 24 32 Days on market, median

The median is 24 days for homes with a view and 32 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

2026-11-06T07:49:26.946941 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 24 sales No view 5 sales 0.0% 2.0% 4.0% 4.8% 4.0% Discount from original list, average

The average is 4.8% for homes with a view and 4.0% for homes without a view. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-11-06T07:49:26.965051 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 33 75 60 80 View No view

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

  • 33% of homes with a view had a price cut before sale, against 60% of homes without a view. Defined in 8.1.7.
  • 75% of homes with a view had the seller pay closing costs or repairs, against 80% of homes without a view. Defined in 8.1.8.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance

6.10 The numbers: price and size

View24 salesNo view5 salesAll29 salesReal difference?
Net sale price average$433,605$372,950$423,148unclear
Net price per SF average$247$216$242unclear
Living area average1,7741,7171,764unclear
Year built median200620202016unclear

6.11 The numbers: selling

View24 salesNo view5 salesAll29 salesReal difference?
Days on market median243226unclear
Discount from original list average4.8%4.0%4.6%unclear
Price cut before sale33%60%38%unclear
Seller paid closing costs or repairs75%80%76%unclear

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

7. New constructionBasic statistics · 2 sales · November 6, 2025 – November 5, 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: 2 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 Lago Vista.
MeasureAverageMedian
Sales2
Net sale price$559,206$559,206
Net price per SF$192$192
Living area (SF)2,8332,833
Days on market458458
Discount from original list25.7%25.7%
Price cut before sale100% of sales
Seller paid closing costs or repairs100% of sales
Year built2024–2025

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
30 resale sales. Average $410,809; median $373,560; standard deviation $179,219; middle half (25th–75th percentile) $318,812–$421,875; lowest $53,000, highest $949,207. 22 sales had a seller payment; their median payment was $10,000.

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
30 resale sales. Average $235; median $215; standard deviation $75; middle half (25th–75th percentile) $204–$250; lowest $36, highest $478.

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
30 resale sales. Average 1,754; median 1,555; standard deviation 530; middle half (25th–75th percentile) 1,451–1,993; lowest 960, highest 3,357.

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
30 resale sales. Average 2005; median 2016; standard deviation 17; middle half (25th–75th percentile) 1997–2019; lowest 1963, highest 2023.

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
30 resale sales. Average 54; median 29; standard deviation 87; middle half (25th–75th percentile) 8–58; lowest 1, highest 453. 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
30 resale sales. Average 5.3%; median 2.8%; standard deviation 9.6%; middle half (25th–75th percentile) 1.4%–6.5%; lowest −17.5%, highest 36.7%. 4 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
11 of 30 resale sales (36.7%).

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
22 of 30 resale sales (73.3%).

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, 5 without, 1 unclassified. Most common View entries: Trees/Woods 15, Hill Country 13, Lake 6, None 4, Neighborhood 4, Panoramic 4, See Remarks 3, Park/Greenbelt 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
ABOR MLS via secure APIs, read from ALEX's copy of the MLS (refreshed every 15 minutes; this pull as of 2026-11-06 13:45 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Lago Vista, SubdivisionName contains any of “lago vista”, “lago vista estates” (case-insensitive). A record is kept when its subdivision name belongs to the Lago Vista family, the same rule comparable sales use (it includes Lago Vista Estates Sec 05, proven adjacent and priced alike).
The data
Pulled November 6, 2026: 32 closed Lago Vista records over the prior year, in ZIP 78645. 13 subdivision spellings kept, the most common: Lago Vista Sec 02 (7); Lago Vista Estates Sec 05 (4); Lago Vista Estates Sec 07 (4); Lago Vista Estates Sec 06 (4); Lago Vista (3); Lago Vista Estates Sec 10 (2); Lago Vista Estates Sec 04 (2); Lago Vista Sec 03 Ph 04 (1); Lago Vista SEC 3 (1); Lago Vista Estates (1); Lago Vista Sec 03 Ph 02 (1); Lago Vista Sec 01 (1); and 1 more (1 records). Names found by the search but not part of Lago Vista, left out: Lago Vista Country Club Estate (16); Lago Vista Country Club Estates Sec 02 (2); Cove At Lago Vista Amd (2); Lago Vista Travis Plaza (2); Lago Vista Country Club Estates (2); LAGO VISTA COUNTRY CLUB ESTATES (1); Lago Vista Villas Condominiums (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 16 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from November 6, 2025 to November 5, 2026 inclusive.
The data
32 single-family sales in the window: 30 resale, 2 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
30 resale; 2 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 $320K”.
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 $320K: $53,000–$318,250 (8 sales); $320K–$373K: $320,500–$373,000 (7 sales); $374K–$412K: $374,120–$412,500 (7 sales); Over $412K: $425,000–$949,207 (8 sales)
Quartiles by living area: Under 1,456 SF: 960–1,449 SF (8 sales); 1,456–1,554 SF: 1,456–1,554 SF (7 sales); 1,556–1,971 SF: 1,556–1,971 SF (7 sales); Over 1,971 SF: 2,000–3,357 SF (8 sales)
Quartiles by year built: Before 1998: 1963–1997 (8 sales); 1998–2015: 1998–2015 (7 sales); 2016–2017: 2016–2017 (6 sales); After 2017: 2019–2023 (9 sales)
View and no view: View: MLS lists a view (24 sales); No view: None or Neighborhood (5 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 $410,809, median $373,560. Days on market: average 54, median 29: 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
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 = 6.1530.1046p < 0.0063Unclearε² = 0.212large
Living areaKruskal–WallisH = 15.4430.0015p < 0.0063Yesε² = 0.532large
Year builtKruskal–WallisH = 0.8030.8487p < 0.0063Unclearε² = 0.028small
Days on marketKruskal–WallisH = 2.4130.4910p < 0.0063Unclearε² = 0.083medium
Discount from original listKruskal–WallisH = 2.0930.5544p < 0.0063Unclearε² = 0.072medium
Price cut before saleChi-squareχ² = 1.9330.5865p < 0.0063UnclearCramér’s V = 0.254small
Seller paid closing costs or repairsChi-squareχ² = 3.3430.3427p < 0.0063UnclearCramér’s V = 0.333medium
Has a viewChi-squareχ² = 4.4430.2175p < 0.0063UnclearCramér’s V = 0.385medium

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 13.3030.0040p < 0.0063Yesε² = 0.458large
Net price per SFKruskal–WallisH = 3.0430.3849p < 0.0063Unclearε² = 0.105medium
Year builtKruskal–WallisH = 10.2830.0163p < 0.0063Unclearε² = 0.355large
Days on marketKruskal–WallisH = 3.1630.3677p < 0.0063Unclearε² = 0.109medium
Discount from original listKruskal–WallisH = 1.8730.5991p < 0.0063Unclearε² = 0.065medium
Price cut before saleChi-squareχ² = 1.3930.7068p < 0.0063UnclearCramér’s V = 0.216small
Seller paid closing costs or repairsChi-squareχ² = 3.6130.3068p < 0.0063UnclearCramér’s V = 0.347medium
Has a viewChi-squareχ² = 8.5730.0356p < 0.0063UnclearCramér’s V = 0.535large

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 3.3930.3356p < 0.0063Unclearε² = 0.117medium
Net price per SFKruskal–WallisH = 1.0130.7979p < 0.0063Unclearε² = 0.035small
Living areaKruskal–WallisH = 7.1530.0672p < 0.0063Unclearε² = 0.247large
Days on marketKruskal–WallisH = 2.0730.5582p < 0.0063Unclearε² = 0.071medium
Discount from original listKruskal–WallisH = 1.0630.7857p < 0.0063Unclearε² = 0.037small
Price cut before saleChi-squareχ² = 3.0030.3915p < 0.0063UnclearCramér’s V = 0.316medium
Seller paid closing costs or repairsChi-squareχ² = 2.3230.5084p < 0.0063UnclearCramér’s V = 0.278small
Has a viewChi-squareχ² = 5.2930.1521p < 0.0063UnclearCramér’s V = 0.420medium

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 76.00—0.3823p < 0.0063Unclearrank-biserial r = 0.267small
Net price per SFMann–Whitney UU = 80.00—0.2695p < 0.0063Unclearrank-biserial r = 0.333medium
Living areaMann–Whitney UU = 54.00—0.7507p < 0.0063Unclearrank-biserial r = 0.100negligible
Year builtMann–Whitney UU = 21.00—0.0259p < 0.0063Unclearrank-biserial r = 0.650large
Days on marketMann–Whitney UU = 66.00—0.7507p < 0.0063Unclearrank-biserial r = 0.100small
Discount from original listMann–Whitney UU = 50.00—0.5942p < 0.0063Unclearrank-biserial r = 0.167small
Price cut before saleChi-squareχ² = 1.2510.2636p < 0.0063UnclearCramér’s V = 0.208small
Seller paid closing costs or repairsChi-squareχ² = 0.0610.8121p < 0.0063UnclearCramér’s V = 0.044negligible

8.4 Data notes

Left out of the analysis: 2 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 30 closed MLS resale sales; the 2 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled November 6, 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.