ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Country Club Estates

Lago Vista, TX 78645
Resale homes · closed Oct 26 – Oct 25, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
October 26, 2026 · 5:15 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
20
single-family resale homes
Median net sale price
$421,740
average $462,320
Median net price per SF
$199
average $206
Median days on market
111 days
average 153 days
1. SummaryResale homes · 20 sales · October 26, 2025 – October 25, 2026

This study looks at the 20 resale homes sold in Country Club Estates in the 365 days to October 25, 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 sold20 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 $376K · 5 sales$376K–$414K · 5 sales$429K–$476K · 5 salesOver $476K · 5 sales
3. Quartiles by net sale priceResale homes · 20 sales · October 26, 2025 – October 25, 2026

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

2026-10-26T05:16:11.861235 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 5 5 20 sales Sales per group Under $376K: 5 sales (25%) $376K–$414K: 5 sales (25%) $429K–$476K: 5 sales (25%) Over $476K: 5 sales (25%)
Bottom line: no measure differs enough between the groups to rule out chance.

3.1 Key differences

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

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 $376K$376K–$414K$429K–$476KOver $476KReal difference?
Net price per SF$171 per SF$187 per SF$202 per SF$265 per SFunclear
Living area2,028 SF2,166 SF2,232 SF2,496 SFunclear
Year built2007199419991994unclear
Days on market91 days252 days244 days72 daysunclear
Discount from original list16.2%11.9%11.1%7.5%unclear
Price cut before sale80%80%100%40%unclear
Seller paid closing costs or repairs60%100%40%60%unclear
Has a view60%100%100%100%unclear

How to read this section. Each heading gives the finding. The gold box says whether the gap is real (✓, with its size) or could be chance (–). The section ends with its numbers; the tests are in section 8.3.

3.3 Net price per SF: no clear difference

2026-10-26T05:16:11.888822 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $376K 5 sales $376K– $414K 5 sales $429K– $476K 5 sales Over $476K 5 sales $0 $100 $200 $300 $171 $187 $202 $265 Net price per SF, average

The average is $265 per SF for homes over $476K and $171 per SF for homes under $376K. It rises step by step from the lowest range to the highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Living area: no clear difference

2026-10-26T05:16:11.911200 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $376K 5 sales $376K– $414K 5 sales $429K– $476K 5 sales Over $476K 5 sales 0 1,000 2,000 2,028 2,166 2,232 2,496 Living area (SF), average

The average is 2,496 SF for homes over $476K and 2,028 SF for homes under $376K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

– No clear difference · could be chance

3.5 Year built: no clear difference

2026-10-26T05:16:11.934461 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $376K 5 sales $376K– $414K 5 sales $429K– $476K 5 sales Over $476K 5 sales 1992 2000 2008 2016 2007 1994 1999 1994 Year built: median (dot) and middle half (bar)

The median is 1994 for homes over $476K and 2007 for homes under $376K. It does not move in a straight line; homes under $376K are highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-10-26T05:16:11.956763 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $376K 5 sales $376K– $414K 5 sales $429K– $476K 5 sales Over $476K 5 sales 0 100 200 300 91 252 244 72 Days on market, median

The median is 72 days for homes over $476K and 91 days for homes under $376K. It does not move in a straight line; homes $376K–$414K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-26T05:16:11.978063 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $376K 5 sales $376K– $414K 5 sales $429K– $476K 5 sales Over $476K 5 sales 0.0% 5.0% 10.0% 15.0% 16.2% 11.9% 11.1% 7.5% Discount from original list, average

The average is 7.5% for homes over $476K and 16.2% for homes under $376K. It falls step by step from the lowest range to the highest. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-10-26T05:16:12.007172 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% 80 60 60 80 100 100 100 40 100 40 60 100 Under $376K $376K–$414K $429K–$476K Over $476K

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

  • 40% of homes over $476K had a price cut before sale, against 80% of homes under $376K. Defined in 8.1.7.
  • 60% of homes over $476K had the seller pay closing costs or repairs, against 60% of homes under $376K. Defined in 8.1.8.
  • 100% of homes over $476K have a view, against 60% of homes under $376K. 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 $376K5 sales$376K–$414K5 sales$429K–$476K5 salesOver $476K5 salesAll20 salesReal difference?
Net sale price average$333,400$399,500$449,979$666,400$462,320by design
Net price per SF average$171$187$202$265$206unclear
Living area average2,0282,1662,2322,4962,230unclear
Year built median20071994199919941999unclear

3.10 The numbers: selling

Under $376K5 sales$376K–$414K5 sales$429K–$476K5 salesOver $476K5 salesAll20 salesReal difference?
Days on market median9125224472111unclear
Discount from original list average16.2%11.9%11.1%7.5%11.7%unclear
Price cut before sale80%80%100%40%75%unclear
Seller paid closing costs or repairs60%100%40%60%65%unclear
Has a view60%100%100%100%90%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 · 20 sales · October 26, 2025 – October 25, 2026

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

2026-10-26T05:16:12.026626 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 5 5 20 sales Sales per group Under 1,931 SF: 5 sales (25%) 1,931–2,224 SF: 5 sales (25%) 2,259–2,439 SF: 5 sales (25%) Over 2,439 SF: 5 sales (25%)
Bottom line: no measure differs enough between the groups to rule out chance.

4.1 Key differences

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

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 1,931 SF1,931–2,224 SF2,259–2,439 SFOver 2,439 SFReal difference?
Net sale price$390K$406K$469K$584Kunclear
Net price per SF$216 per SF$198 per SF$201 per SF$210 per SFunclear
Year built1997201119921997unclear
Days on market28 days166 days244 days108 daysunclear
Discount from original list7.2%11.7%12.7%15.1%unclear
Price cut before sale40%100%80%80%unclear
Seller paid closing costs or repairs80%80%60%40%unclear
Has a view80%80%100%100%unclear

4.3 Net sale price: no clear difference

2026-10-26T05:16:12.046868 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,931 SF 5 sales 1,931– 2,224 SF 5 sales 2,259– 2,439 SF 5 sales Over 2,439 SF 5 sales $0K $200K $400K $600K $390K $406K $469K $584K Net sale price, average

The average is $584K for homes over 2,439 SF and $390K for homes under 1,931 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

– No clear difference · could be chance

4.4 Net price per SF: no clear difference

2026-10-26T05:16:12.069539 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,931 SF 5 sales 1,931– 2,224 SF 5 sales 2,259– 2,439 SF 5 sales Over 2,439 SF 5 sales $0 $100 $200 $216 $198 $201 $210 Net price per SF, average

The average is $210 per SF for homes over 2,439 SF and $216 per SF for homes under 1,931 SF. It does not move in a straight line; homes under 1,931 SF are highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-10-26T05:16:12.092173 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,931 SF 5 sales 1,931– 2,224 SF 5 sales 2,259– 2,439 SF 5 sales Over 2,439 SF 5 sales 1992 2000 2008 2016 1997 2011 1992 1997 Year built: median (dot) and middle half (bar)

The median is 1997 for homes over 2,439 SF and 1997 for homes under 1,931 SF. It does not move in a straight line; homes 1,931–2,224 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-10-26T05:16:12.114974 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,931 SF 5 sales 1,931– 2,224 SF 5 sales 2,259– 2,439 SF 5 sales Over 2,439 SF 5 sales 0 100 200 28 166 244 108 Days on market, median

The median is 108 days for homes over 2,439 SF and 28 days for homes under 1,931 SF. It does not move in a straight line; homes 2,259–2,439 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-26T05:16:12.135939 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,931 SF 5 sales 1,931– 2,224 SF 5 sales 2,259– 2,439 SF 5 sales Over 2,439 SF 5 sales 0.0% 5.0% 10.0% 15.0% 7.2% 11.7% 12.7% 15.1% Discount from original list, average

The average is 15.1% for homes over 2,439 SF and 7.2% for homes under 1,931 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

2026-10-26T05:16:12.161821 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 40 80 80 100 80 80 80 60 100 80 40 100 Under 1,931 SF 1,931–2,224 SF 2,259–2,439 SF Over 2,439 SF

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

  • 80% of homes over 2,439 SF had a price cut before sale, against 40% of homes under 1,931 SF. Defined in 8.1.7.
  • 40% of homes over 2,439 SF had the seller pay closing costs or repairs, against 80% of homes under 1,931 SF. Defined in 8.1.8.
  • 100% of homes over 2,439 SF have a view, against 80% of homes under 1,931 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 1,931 SF5 sales1,931–2,224 SF5 sales2,259–2,439 SF5 salesOver 2,439 SF5 salesAll20 salesReal difference?
Net sale price average$390,100$405,600$469,379$584,200$462,320unclear
Net price per SF average$216$198$201$210$206unclear
Living area average1,8102,0502,3372,7262,230by design
Year built median19972011199219971999unclear

4.10 The numbers: selling

Under 1,931 SF5 sales1,931–2,224 SF5 sales2,259–2,439 SF5 salesOver 2,439 SF5 salesAll20 salesReal difference?
Days on market median28166244108111unclear
Discount from original list average7.2%11.7%12.7%15.1%11.7%unclear
Price cut before sale40%100%80%80%75%unclear
Seller paid closing costs or repairs80%80%60%40%65%unclear
Has a view80%80%100%100%90%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 · 20 sales · October 26, 2025 – October 25, 2026

Sales ranked by year built and cut into four groups, from the oldest to the newest. Homes built in the same year always stay in the same group, so group sizes can differ a little.

2026-10-26T05:16:12.181633 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 4 6 5 20 sales Sales per group Before 1994: 5 sales (25%) 1994–1997: 4 sales (20%) 1999–2008: 6 sales (30%) After 2008: 5 sales (25%)
Bottom line: too few sales to test.

5.1 Key differences

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

5.3 Net sale price: described, not tested

2026-10-26T05:16:12.201327 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1994 5 sales 1994– 1997 4 sales 1999– 2008 6 sales After 2008 5 sales $0K $200K $400K $600K $477K $519K $411K $464K Net sale price, average

The average is $464K for homes built after 2008 and $477K for homes built before 1994. It does not move in a straight line; homes built 1994–1997 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T05:16:12.224405 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1994 5 sales 1994– 1997 4 sales 1999– 2008 6 sales After 2008 5 sales $0 $100 $200 $216 $213 $188 $214 Net price per SF, average

The average is $214 per SF for homes built after 2008 and $216 per SF for homes built before 1994. It does not move in a straight line; homes built before 1994 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T05:16:12.246088 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1994 5 sales 1994– 1997 4 sales 1999– 2008 6 sales After 2008 5 sales 0 1,000 2,000 2,258 2,373 2,181 2,148 Living area (SF), average

The average is 2,148 SF for homes built after 2008 and 2,258 SF for homes built before 1994. It does not move in a straight line; homes built 1994–1997 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T05:16:12.267047 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1994 5 sales 1994– 1997 4 sales 1999– 2008 6 sales After 2008 5 sales 0 100 200 300 252 102 148 109 Days on market, median

The median is 109 days for homes built after 2008 and 252 days for homes built before 1994. It does not move in a straight line; homes built before 1994 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T05:16:12.289210 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1994 5 sales 1994– 1997 4 sales 1999– 2008 6 sales After 2008 5 sales 0.0% 10.0% 20.0% 10.1% 18.0% 10.8% 9.2% Discount from original list, average

The average is 9.2% for homes built after 2008 and 10.1% for homes built before 1994. It does not move in a straight line; homes built 1994–1997 are highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-10-26T05:16:12.313945 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 60 80 100 75 50 100 100 67 83 60 60 80 Before 1994 1994–1997 1999–2008 After 2008

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

  • 60% of homes built after 2008 had a price cut before sale, against 60% of homes built before 1994. Defined in 8.1.7.
  • 60% of homes built after 2008 had the seller pay closing costs or repairs, against 80% of homes built before 1994. Defined in 8.1.8.
  • 80% of homes built after 2008 have a view, against 100% of homes built before 1994. Defined in 8.1.9.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.
Has a view: Not tested: too few sales.

5.9 The numbers: price and size

Before 19945 sales1994–19974 sales1999–20086 salesAfter 20085 salesAll20 sales
Net sale price average$477,083$518,875$410,913$464,000$462,320
Net price per SF average$216$213$188$214$206
Living area average2,2582,3732,1812,1482,230
Year built median19881996200020161999

5.10 The numbers: selling

Before 19945 sales1994–19974 sales1999–20086 salesAfter 20085 salesAll20 sales
Days on market median252102148109111
Discount from original list average10.1%18.0%10.8%9.2%11.7%
Price cut before sale60%75%100%60%75%
Seller paid closing costs or repairs80%50%67%60%65%
Has a view100%100%83%80%90%

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 · 20 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.

2026-10-26T05:16:12.332135 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 18 2 20 sales Sales per group View: 18 sales (90%) No view: 2 sales (10%)
Bottom line: too few sales to test.

6.1 Key differences

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

6.3 Net sale price: described, not tested

2026-10-26T05:16:12.348194 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 18 sales No view 2 sales $0K $200K $400K $477K $332K Net sale price, average

The average is $477K for homes with a view and $332K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-26T05:16:12.365435 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 18 sales No view 2 sales $0 $100 $200 $210 $175 Net price per SF, average

The average is $210 per SF for homes with a view and $175 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-26T05:16:12.383228 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 18 sales No view 2 sales 0 1,000 2,000 2,268 1,891 Living area (SF), average

The average is 2,268 SF for homes with a view and 1,891 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-26T05:16:12.425095 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 18 sales No view 2 sales 1992 1996 2000 2004 2008 1998 2009 Year built: median (dot) and middle half (bar)

The median is 1998 for homes with a view and 2009 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-10-26T05:16:12.443162 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 18 sales No view 2 sales 0 50 100 111 97 Days on market, median

The median is 111 days for homes with a view and 97 days for homes without a view. Defined in 8.1.5.

Not tested: too few sales.

6.8 Discount from original list: described, not tested

2026-10-26T05:16:12.460419 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 18 sales No view 2 sales 0.0% 5.0% 10.0% 15.0% 11.5% 13.3% Discount from original list, average

The average is 11.5% for homes with a view and 13.3% for homes without a view. Defined in 8.1.6.

Not tested: too few sales.

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

2026-10-26T05:16:12.478836 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 72 67 100 50 View No view

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

  • 72% of homes with a view had a price cut before sale, against 100% of homes without a view. Defined in 8.1.7.
  • 67% of homes with a view had the seller pay closing costs or repairs, against 50% of homes without a view. Defined in 8.1.8.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.

6.10 The numbers: price and size

View18 salesNo view2 salesAll20 sales
Net sale price average$476,855$331,500$462,320
Net price per SF average$210$175$206
Living area average2,2681,8912,230
Year built median199820091999

6.11 The numbers: selling

View18 salesNo view2 salesAll20 sales
Days on market median11197111
Discount from original list average11.5%13.3%11.7%
Price cut before sale72%100%75%
Seller paid closing costs or repairs67%50%65%

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 · 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: 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 Country Club Estates.
MeasureAverageMedian
Sales2
Net sale price$635,668$635,668
Net price per SF$268$268
Living area (SF)2,3732,373
Days on market4848
Discount from original list6.7%6.7%
Price cut before sale50% of sales
Seller paid closing costs or repairs50% of sales
Year built2023–2025

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
20 resale sales. Average $462,320; median $421,740; standard deviation $167,626; middle half (25th–75th percentile) $375,000–$481,563; lowest $260,000, highest $1,050,000. 13 sales had a seller payment; their median payment was $12,520.

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
20 resale sales. Average $206; median $199; standard deviation $49; middle half (25th–75th percentile) $182–$218; lowest $96, highest $341.

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
20 resale sales. Average 2,230; median 2,242; standard deviation 377; middle half (25th–75th percentile) 1,921–2,441; lowest 1,755, highest 3,078.

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
20 resale sales. Average 2000; median 1999; standard deviation 12; middle half (25th–75th percentile) 1994–2009; lowest 1977, highest 2018.

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
20 resale sales. Average 153; median 111; standard deviation 110; middle half (25th–75th percentile) 64–246; lowest 11, highest 357. 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
20 resale sales. Average 11.7%; median 10.3%; standard deviation 8.7%; middle half (25th–75th percentile) 5.8%–14.9%; lowest 1.6%, highest 36.6%. 0 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
15 of 20 resale sales (75.0%).

8.1.8 Seller paid closing costs or repairs

In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
13 of 20 resale sales (65.0%).

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
18 sales with a view, 2 without, 0 unclassified. Most common View entries: Hill Country 11, Lake 10, Trees/Woods 8, Water 4, Panoramic 3, River 3, Golf Course 3, Neighborhood 3.

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 = Lago Vista, SubdivisionName contains any of “country club estates” (case-insensitive). A record is kept when its subdivision name belongs to the Country Club Estates family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 22 closed Country Club Estates records over the prior year, in ZIP 78645. 9 subdivision spellings kept: Country Club Estates Sec 05 (6); Country Club Estates Sec 08 (6); Country Club Estates Sec 09 (4); Country Club Estates (1); Country Club Estates Sec 07 (1); Country Club Estates Sec 8 Ame (1); Country Club Estates Sec 7 Ame (1); COUNTRY CLUB ESTATES SEC 7 (1); Country Club Estates Sec 9 (1). Names found by the search but not part of Country Club Estates, left out: Lago Vista Country Club Estates (2); Lago Vista Country Club Estates Sec 02 (2); LAGO VISTA COUNTRY CLUB ESTATES (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 October 26, 2025 to October 25, 2026 inclusive.
The data
22 single-family sales in the window: 20 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
20 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 $376K”.
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 $376K: $260,000–$372,000 (5 sales); $376K–$414K: $376,000–$414,000 (5 sales); $429K–$476K: $429,480–$476,417 (5 sales); Over $476K: $497,000–$1,050,000 (5 sales)
Quartiles by living area: Under 1,931 SF: 1,755–1,892 SF (5 sales); 1,931–2,224 SF: 1,931–2,224 SF (5 sales); 2,259–2,439 SF: 2,259–2,439 SF (5 sales); Over 2,439 SF: 2,446–3,078 SF (5 sales)
Quartiles by year built: Before 1994: 1977–1992 (5 sales); 1994–1997: 1994–1997 (4 sales); 1999–2008: 1999–2008 (6 sales); After 2008: 2011–2018 (5 sales)
View and no view: View: MLS lists a view (18 sales); No view: None or Neighborhood (2 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 $462,320, median $421,740. Days on market: average 153, median 111: the average is pulled up by a few long listings.

8.2.7 Kruskal–Wallis test

In simple terms
Checks whether a measure really differs across the four groups of a slice. It uses each sale's rank, not its value, so a few extreme sales cannot drive the answer.
Statistically
H = [12/(n(n+1))] Σ Rⱼ²/nⱼ − 3(n+1), compared with χ² on k − 1 degrees of freedom (Kruskal & Wallis, 1952). Effect size ε² = H/(n − 1): ≥ .01 small, ≥ .06 medium, ≥ .14 large (Tomczak & Tomczak, 2014). A slice is tested only when every group has at least 5 sales; smaller groups are described, not tested.
The data
Run on every measure in sections 3–5; each result is in 8.3.

8.2.8 Mann–Whitney U test

In simple terms
The same check when there are only two groups: view against no view.
Statistically
Two-sided U test (Mann & Whitney, 1947). Effect size = rank-biserial correlation |1 − 2U/(n₁n₂)|: ≥ .10 small, ≥ .30 medium, ≥ .50 large (Kerby, 2014; Cohen, 1988).
The data
Run on every measure in section 6; results in 8.3.

8.2.9 Chi-square test

In simple terms
Checks whether a yes/no share (price cut, seller payment, view) differs between groups more than chance would.
Statistically
Pearson χ² on the 2 × k table of counts, no continuity correction (Pearson, 1900). Effect size Cramér's V = √(χ²/n): ≥ .10 small, ≥ .30 medium, ≥ .50 large (Cramér, 1946).
The data
Run on the three shares in every slice; results in 8.3.

8.2.10 Real difference (significance)

In simple terms
“Real difference” means a gap this large would be very unlikely if the groups were really alike. Because many measures are checked in each slice, the bar is set higher than usual.
Statistically
Significant when p < 0.05 ÷ m, where m is the number of measures tested in that slice (Bonferroni; Dunn, 1961). The slicing variable itself differs by design and is not tested.
The data
Quartiles by net sale price: m = 8, threshold p < 0.0063; Quartiles by living area: m = 8, threshold p < 0.0063

8.2.11 Size of a difference

In simple terms
A difference can be real but small. The size word (small, medium, large) says how much the groups pull apart.
Statistically
ε² for Kruskal–Wallis, rank-biserial r for Mann–Whitney, Cramér's V for chi-square, with the thresholds above; below the small threshold the size is “negligible”.
The data
0 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 = 10.1830.0171p < 0.0063Unclearε² = 0.536large
Living areaKruskal–WallisH = 3.6630.3002p < 0.0063Unclearε² = 0.193large
Year builtKruskal–WallisH = 3.8030.2836p < 0.0063Unclearε² = 0.200large
Days on marketKruskal–WallisH = 5.9930.1119p < 0.0063Unclearε² = 0.315large
Discount from original listKruskal–WallisH = 2.5730.4635p < 0.0063Unclearε² = 0.135medium
Price cut before saleChi-squareχ² = 5.0730.1670p < 0.0063UnclearCramér’s V = 0.503large
Seller paid closing costs or repairsChi-squareχ² = 4.1830.2431p < 0.0063UnclearCramér’s V = 0.457medium
Has a viewChi-squareχ² = 6.6730.0833p < 0.0063UnclearCramér’s V = 0.577large

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 4.6330.2013p < 0.0063Unclearε² = 0.243large
Net price per SFKruskal–WallisH = 0.6030.8964p < 0.0063Unclearε² = 0.032small
Year builtKruskal–WallisH = 6.1730.1034p < 0.0063Unclearε² = 0.325large
Days on marketKruskal–WallisH = 5.9130.1159p < 0.0063Unclearε² = 0.311large
Discount from original listKruskal–WallisH = 2.3830.4968p < 0.0063Unclearε² = 0.125medium
Price cut before saleChi-squareχ² = 5.0730.1670p < 0.0063UnclearCramér’s V = 0.503large
Seller paid closing costs or repairsChi-squareχ² = 2.4230.4904p < 0.0063UnclearCramér’s V = 0.348medium
Has a viewChi-squareχ² = 2.2230.5276p < 0.0063UnclearCramér’s V = 0.333medium

8.3.3 Quartiles by year built

Too few sales in a group to test.

8.3.4 View and no view

Too few sales in a group to test.

8.4 Data notes

Left out of the analysis: 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 20 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 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.