ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Tahitian Village,

Bastrop, TX 78602
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 · 7:16 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
69
single-family resale homes
Median net sale price
$369,750
average $401,917
Median net price per SF
$207
average $207
Median days on market
92 days
average 124 days
1. SummaryResale homes · 69 sales · October 26, 2025 – October 25, 2026

This study looks at the 69 resale homes sold in Tahitian Village, in the 365 days to October 25, 2026. A full year is used because only 39 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 sold69 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 $310K · 17 sales$310K–$365K · 17 sales$370K–$439K · 17 salesOver $439K · 18 sales
3. Quartiles by net sale priceResale homes · 69 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.

2026-10-26T07:16:11.698638 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 17 17 17 18 69 sales Sales per group Under $310K: 17 sales (25%) $310K–$365K: 17 sales (25%) $370K–$439K: 17 sales (25%) Over $439K: 18 sales (26%)
Bottom line

3.1 Key differences

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

Under $310K$310K–$365K$370K–$439KOver $439K
Higher-priced homes Over $439K
  • Are much larger.
Lower-priced homes Under $310K
  • 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 $310K$310K–$365K$370K–$439KOver $439KReal difference?
Net price per SF$193 per SF$190 per SF$210 per SF$231 per SFunclear
Living area1,516 SFSmallest1,776 SF1,906 SF2,632 SFLargest✓ large
Year built2003201320202014unclear
Days on market102 days50 days85 days140 daysunclear
Discount from original list9.8%5.5%7.4%9.7%unclear
Price cut before sale82%47%71%83%unclear
Seller paid closing costs or repairs53%82%53%61%unclear
Has a view47%53%82%83%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

2026-10-26T07:16:11.727171 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $310K 17 sales $310K– $365K 17 sales $370K– $439K 17 sales Over $439K 18 sales $0 $100 $200 $193 $190 $210 $231 Net price per SF, average

The average is $231 per SF for homes over $439K and $193 per SF for homes under $310K. It does not move in a straight line; homes over $439K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Homes over $439K are about 1,120 SF (74%) larger than homes under $310K

2026-10-26T07:16:11.749138 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $310K 17 sales $310K– $365K 17 sales $370K– $439K 17 sales Over $439K 18 sales 0 1,000 2,000 3,000 1,516 1,776 1,906 2,632 Living area (SF), average

The average is 2,632 SF for homes over $439K and 1,516 SF for homes under $310K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

✓ Real difference · large

3.5 Year built: no clear difference

2026-10-26T07:16:11.774028 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $310K 17 sales $310K– $365K 17 sales $370K– $439K 17 sales Over $439K 18 sales 1998 2004 2010 2016 2022 2003 2013 2020 2014 Year built: median (dot) and middle half (bar)

The median is 2014 for homes over $439K and 2003 for homes under $310K. It does not move in a straight line; homes $370K–$439K are highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-10-26T07:16:11.796959 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $310K 17 sales $310K– $365K 17 sales $370K– $439K 17 sales Over $439K 18 sales 0 50 100 150 102 50 85 140 Days on market, median

The median is 140 days for homes over $439K and 102 days for homes under $310K. It does not move in a straight line; homes over $439K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-26T07:16:11.819127 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $310K 17 sales $310K– $365K 17 sales $370K– $439K 17 sales Over $439K 18 sales 0.0% 5.0% 10.0% 9.8% 5.5% 7.4% 9.7% Discount from original list, average

The average is 9.7% for homes over $439K and 9.8% for homes under $310K. It does not move in a straight line; homes under $310K 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

2026-10-26T07:16:11.848275 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% 82 53 47 47 82 53 71 53 82 83 61 83 Under $310K $310K–$365K $370K–$439K Over $439K

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

  • 83% of homes over $439K had a price cut before sale, against 82% of homes under $310K. Defined in 8.1.7.
  • 61% of homes over $439K had the seller pay closing costs or repairs, against 53% of homes under $310K. Defined in 8.1.8.
  • 83% of homes over $439K have a view, against 47% of homes under $310K. 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 $310K17 sales$310K–$365K17 sales$370K–$439K17 salesOver $439K18 salesAll69 salesReal difference?
Net sale price average$284,910$335,051$397,912$579,356$401,917by design
Net price per SF average$193$190$210$231$207unclear
Living area average1,5161,7761,9062,6321,967✓ large
Year built median20032013202020142015unclear

3.10 The numbers: selling

Under $310K17 sales$310K–$365K17 sales$370K–$439K17 salesOver $439K18 salesAll69 salesReal difference?
Days on market median102508514092unclear
Discount from original list average9.8%5.5%7.4%9.7%8.2%unclear
Price cut before sale82%47%71%83%71%unclear
Seller paid closing costs or repairs53%82%53%61%62%unclear
Has a view47%53%82%83%67%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 · 69 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.

2026-10-26T07:16:11.868658 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 17 17 18 17 69 sales Sales per group Under 1,602 SF: 17 sales (25%) 1,602–1,824 SF: 17 sales (25%) 1,846–2,060 SF: 18 sales (26%) Over 2,060 SF: 17 sales (25%)
Bottom line

4.1 Key differences

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

Under 1,602 SF1,602–1,824 SF1,846–2,060 SFOver 2,060 SF
Larger homes Over 2,060 SF
  • Sell for much more.
Smaller homes Under 1,602 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 1,602 SF1,602–1,824 SF1,846–2,060 SFOver 2,060 SFReal difference?
Net sale price$300KLowest$366K$389K$554KHighest✓ large
Net price per SF$215 per SF$214 per SF$200 per SF$197 per SFunclear
Year built2012201020202012unclear
Days on market76 days125 days56 days156 daysunclear
Discount from original list7.8%7.8%6.0%11.1%unclear
Price cut before sale71%76%56%82%unclear
Seller paid closing costs or repairs65%53%67%65%unclear
Has a view41%65%78%82%unclear

4.3 Homes over 2,060 SF sell for about $255K (85%) more than homes under 1,602 SF

2026-10-26T07:16:11.889047 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,602 SF 17 sales 1,602– 1,824 SF 17 sales 1,846– 2,060 SF 18 sales Over 2,060 SF 17 sales $0K $200K $400K $600K $300K $366K $389K $554K Net sale price, average

The average is $554K for homes over 2,060 SF and $300K for homes under 1,602 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

✓ Real difference · large

4.4 Net price per SF: no clear difference

2026-10-26T07:16:11.912273 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,602 SF 17 sales 1,602– 1,824 SF 17 sales 1,846– 2,060 SF 18 sales Over 2,060 SF 17 sales $0 $100 $200 $215 $214 $200 $197 Net price per SF, average

The average is $197 per SF for homes over 2,060 SF and $215 per SF for homes under 1,602 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-10-26T07:16:11.936406 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,602 SF 17 sales 1,602– 1,824 SF 17 sales 1,846– 2,060 SF 18 sales Over 2,060 SF 17 sales 2000 2005 2010 2015 2020 2012 2010 2020 2012 Year built: median (dot) and middle half (bar)

The median is 2012 for homes over 2,060 SF and 2012 for homes under 1,602 SF. It does not move in a straight line; homes 1,846–2,060 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-10-26T07:16:11.959517 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,602 SF 17 sales 1,602– 1,824 SF 17 sales 1,846– 2,060 SF 18 sales Over 2,060 SF 17 sales 0 50 100 150 76 125 56 156 Days on market, median

The median is 156 days for homes over 2,060 SF and 76 days for homes under 1,602 SF. It does not move in a straight line; homes over 2,060 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-26T07:16:11.981729 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,602 SF 17 sales 1,602– 1,824 SF 17 sales 1,846– 2,060 SF 18 sales Over 2,060 SF 17 sales 0.0% 5.0% 10.0% 7.8% 7.8% 6.0% 11.1% Discount from original list, average

The average is 11.1% for homes over 2,060 SF and 7.8% for homes under 1,602 SF. It does not move in a straight line; homes over 2,060 SF are highest. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-10-26T07:16:12.008314 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% 71 65 41 76 53 65 56 67 78 82 65 82 Under 1,602 SF 1,602–1,824 SF 1,846–2,060 SF Over 2,060 SF

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

  • 82% of homes over 2,060 SF had a price cut before sale, against 71% of homes under 1,602 SF. Defined in 8.1.7.
  • 65% of homes over 2,060 SF had the seller pay closing costs or repairs, against 65% of homes under 1,602 SF. Defined in 8.1.8.
  • 82% of homes over 2,060 SF have a view, against 41% of homes under 1,602 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 1,602 SF17 sales1,602–1,824 SF17 sales1,846–2,060 SF18 salesOver 2,060 SF17 salesAll69 salesReal difference?
Net sale price average$299,542$365,927$388,774$554,196$401,917✓ large
Net price per SF average$215$214$200$197$207unclear
Living area average1,4061,7131,9482,8011,967by design
Year built median20122010202020122015unclear

4.10 The numbers: selling

Under 1,602 SF17 sales1,602–1,824 SF17 sales1,846–2,060 SF18 salesOver 2,060 SF17 salesAll69 salesReal difference?
Days on market median761255615692unclear
Discount from original list average7.8%7.8%6.0%11.1%8.2%unclear
Price cut before sale71%76%56%82%71%unclear
Seller paid closing costs or repairs65%53%67%65%62%unclear
Has a view41%65%78%82%67%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 · 69 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.

2026-10-26T07:16:12.028865 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 17 17 17 18 69 sales Sales per group Before 2003: 17 sales (25%) 2003–2014: 17 sales (25%) 2015–2020: 17 sales (25%) After 2020: 18 sales (26%)
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 20032003–20142015–2020After 2020Real difference?
Net sale price$378K$421K$393K$415Kunclear
Net price per SF$201 per SF$198 per SF$231 per SF$197 per SFunclear
Living area1,871 SF2,104 SF1,728 SF2,153 SFunclear
Days on market76 days89 days100 days86 daysunclear
Discount from original list8.5%10.3%6.5%7.3%unclear
Price cut before sale76%88%59%61%unclear
Seller paid closing costs or repairs59%71%53%67%unclear
Has a view71%71%71%56%unclear

5.3 Net sale price: no clear difference

2026-10-26T07:16:12.049184 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2003 17 sales 2003– 2014 17 sales 2015– 2020 17 sales After 2020 18 sales $0K $200K $400K $378K $421K $393K $415K Net sale price, average

The average is $415K for homes built after 2020 and $378K for homes built before 2003. It does not move in a straight line; homes built 2003–2014 are highest. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-10-26T07:16:12.071640 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2003 17 sales 2003– 2014 17 sales 2015– 2020 17 sales After 2020 18 sales $0 $100 $200 $201 $198 $231 $197 Net price per SF, average

The average is $197 per SF for homes built after 2020 and $201 per SF for homes built before 2003. It does not move in a straight line; homes built 2015–2020 are highest. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-10-26T07:16:12.093133 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2003 17 sales 2003– 2014 17 sales 2015– 2020 17 sales After 2020 18 sales 0 1,000 2,000 1,871 2,104 1,728 2,153 Living area (SF), average

The average is 2,153 SF for homes built after 2020 and 1,871 SF for homes built before 2003. It does not move in a straight line; homes built after 2020 are highest. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-10-26T07:16:12.115360 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2003 17 sales 2003– 2014 17 sales 2015– 2020 17 sales After 2020 18 sales 0 50 100 76 89 100 86 Days on market, median

The median is 86 days for homes built after 2020 and 76 days for homes built before 2003. It does not move in a straight line; homes built 2015–2020 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-10-26T07:16:12.136555 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2003 17 sales 2003– 2014 17 sales 2015– 2020 17 sales After 2020 18 sales 0.0% 5.0% 10.0% 8.5% 10.3% 6.5% 7.3% Discount from original list, average

The average is 7.3% for homes built after 2020 and 8.5% for homes built before 2003. It does not move in a straight line; homes built 2003–2014 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

2026-10-26T07:16:12.161746 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% 76 59 71 88 71 71 59 53 71 61 67 56 Before 2003 2003–2014 2015–2020 After 2020

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

  • 61% of homes built after 2020 had a price cut before sale, against 76% of homes built before 2003. Defined in 8.1.7.
  • 67% of homes built after 2020 had the seller pay closing costs or repairs, against 59% of homes built before 2003. Defined in 8.1.8.
  • 56% of homes built after 2020 have a view, against 71% of homes built before 2003. 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 200317 sales2003–201417 sales2015–202017 salesAfter 202018 salesAll69 salesReal difference?
Net sale price average$377,859$420,989$392,932$415,111$401,917unclear
Net price per SF average$201$198$231$197$207unclear
Living area average1,8712,1041,7282,1531,967unclear
Year built median19962009201920222015by design

5.10 The numbers: selling

Before 200317 sales2003–201417 sales2015–202017 salesAfter 202018 salesAll69 salesReal difference?
Days on market median76891008692unclear
Discount from original list average8.5%10.3%6.5%7.3%8.2%unclear
Price cut before sale76%88%59%61%71%unclear
Seller paid closing costs or repairs59%71%53%67%62%unclear
Has a view71%71%71%56%67%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 · 69 sales · October 26, 2025 – October 25, 2026

Sales where the MLS lists a view (greenbelt or park, trees, golf course, hill country, water and similar) against those listing none or only the neighborhood. 1 sales whose MLS view entry is only “See Remarks” are left out.

2026-10-26T07:16:12.180101 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 46 22 68 sales Sales per group View: 46 sales (68%) No view: 22 sales (32%)
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$429K$350Kunclear
Net price per SF$206 per SF$206 per SFunclear
Living area2,097 SF1,722 SFunclear
Year built20142018unclear
Days on market87 days98 daysunclear
Discount from original list8.5%7.7%unclear
Price cut before sale67%77%unclear
Seller paid closing costs or repairs63%59%unclear

6.3 Net sale price: no clear difference

2026-10-26T07:16:12.196281 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 46 sales No view 22 sales $0K $200K $400K $429K $350K Net sale price, average

The average is $429K for homes with a view and $350K 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

2026-10-26T07:16:12.214280 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 46 sales No view 22 sales $0 $50 $100 $150 $200 $206 $206 Net price per SF, average

The average is $206 per SF for homes with a view and $206 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

2026-10-26T07:16:12.260387 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 46 sales No view 22 sales 0 1,000 2,000 2,097 1,722 Living area (SF), average

The average is 2,097 SF for homes with a view and 1,722 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-26T07:16:12.279086 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 46 sales No view 22 sales 2005 2010 2015 2020 2014 2018 Year built: median (dot) and middle half (bar)

The median is 2014 for homes with a view and 2018 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-26T07:16:12.297954 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 46 sales No view 22 sales 0 25 50 75 100 87 98 Days on market, median

The median is 87 days for homes with a view and 98 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

2026-10-26T07:16:12.317706 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 46 sales No view 22 sales 0.0% 2.5% 5.0% 7.5% 10.0% 8.5% 7.7% Discount from original list, average

The average is 8.5% for homes with a view and 7.7% 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

2026-10-26T07:16:12.336664 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 67 63 77 59 View No view

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

  • 67% of homes with a view had a price cut before sale, against 77% of homes without a view. Defined in 8.1.7.
  • 63% of homes with a view had the seller pay closing costs or repairs, against 59% 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

View46 salesNo view22 salesAll68 salesReal difference?
Net sale price average$428,601$350,304$403,270unclear
Net price per SF average$206$206$206unclear
Living area average2,0971,7221,976unclear
Year built median201420182015unclear

6.11 The numbers: selling

View46 salesNo view22 salesAll68 salesReal difference?
Days on market median879892unclear
Discount from original list average8.5%7.7%8.2%unclear
Price cut before sale67%77%71%unclear
Seller paid closing costs or repairs63%59%62%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 · 72 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: 72 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 Tahitian Village,.
MeasureAverageMedian
Sales72
Net sale price$385,229$375,000
Net price per SF$200$201
Living area (SF)1,9381,890
Days on market127108
Discount from original list6.3%4.9%
Price cut before sale57% of sales
Seller paid closing costs or repairs69% of sales
Year built2024–2026

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
69 resale sales. Average $401,917; median $369,750; standard deviation $131,641; middle half (25th–75th percentile) $310,000–$440,000; lowest $248,000, highest $920,000. 43 sales had a seller payment; their median payment was $9,000.

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
69 resale sales. Average $207; median $207; standard deviation $39; middle half (25th–75th percentile) $185–$220; lowest $118, highest $371.

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
69 resale sales. Average 1,967; median 1,846; standard deviation 602; middle half (25th–75th percentile) 1,602–2,060; lowest 1,233, highest 4,050.

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
69 resale sales. Average 2011; median 2015; standard deviation 12; middle half (25th–75th percentile) 2003–2021; lowest 1978, highest 2025.

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
69 resale sales. Average 124; median 92; standard deviation 122; middle half (25th–75th percentile) 47–162; lowest 3, highest 657. 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
69 resale sales. Average 8.2%; median 7.5%; standard deviation 5.7%; middle half (25th–75th percentile) 4.5%–9.9%; lowest 0.0%, highest 29.1%. 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
49 of 69 resale sales (71.0%).

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
43 of 69 resale sales (62.3%).

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
46 sales with a view, 22 without, 1 unclassified. Most common View entries: Trees/Woods 38, Neighborhood 27, None 12, Panoramic 10, Golf Course 5, Pool 5, Park/Greenbelt 5, Rural 5.

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 = Bastrop, SubdivisionName contains any of “tahitian village”, “tahitian village,” (case-insensitive). A record is kept when its subdivision name belongs to the Tahitian Village, family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 143 closed Tahitian Village, records over the prior year, in ZIP 78602. 12 subdivision spellings kept: Tahitian Village, (87); Tahitian Village (38); Tahitian Village Unit 5 (4); Tahitian Village, Unit 5 (3); Tahitian Village Unit 4 (2); Tahitian Village Unit 04 (2); Tahitian Village Unit 03 (2); Tahitian Village Unit 3 Reserve (1); Tahitian Village, Unit 4 (1); Tahitian Village, Unit 1 (1); Tahitian Village Unit 05 (1); Tahitian Village Unit 1 (1). Names found by the search but not part of Tahitian Village,, left out: S7980 - Tahitian Village, Unit 1 (1); Tahitian Villages (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 39 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
141 single-family sales in the window: 69 resale, 72 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
69 resale; 72 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
2 sale(s) with concessions above 10% of price

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 $310K”.
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 $310K: $248,000–$309,900 (17 sales); $310K–$365K: $310,000–$365,000 (17 sales); $370K–$439K: $369,750–$439,000 (17 sales); Over $439K: $440,000–$920,000 (18 sales)
Quartiles by living area: Under 1,602 SF: 1,233–1,591 SF (17 sales); 1,602–1,824 SF: 1,602–1,824 SF (17 sales); 1,846–2,060 SF: 1,846–2,060 SF (18 sales); Over 2,060 SF: 2,100–4,050 SF (17 sales)
Quartiles by year built: Before 2003: 1978–2002 (17 sales); 2003–2014: 2003–2014 (17 sales); 2015–2020: 2015–2020 (17 sales); After 2020: 2021–2025 (18 sales)
View and no view: View: MLS lists a view (46 sales); No view: None or Neighborhood (22 sales)

8.2.6 Average and median

In simple terms
The average adds the values and divides by how many; one very expensive home can pull it up. The median is the middle value, with half above and half below.
Statistically
Mean x̄ = (1/n) Σ xᵢ; median = 50th percentile. Price, price per SF, living area and discount use the mean; days on market and year built use the median (skewed or whole-year values).
The data
Net sale price: average $401,917, median $369,750. Days on market: average 124, median 92: 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 = 10.2830.0163p < 0.0063Unclearε² = 0.151large
Living areaKruskal–WallisH = 33.333< 0.0001p < 0.0063Yesε² = 0.490large
Year builtKruskal–WallisH = 10.1630.0173p < 0.0063Unclearε² = 0.149large
Days on marketKruskal–WallisH = 9.5130.0232p < 0.0063Unclearε² = 0.140medium
Discount from original listKruskal–WallisH = 7.3030.0630p < 0.0063Unclearε² = 0.107medium
Price cut before saleChi-squareχ² = 7.1330.0679p < 0.0063UnclearCramér’s V = 0.321medium
Seller paid closing costs or repairsChi-squareχ² = 4.1930.2417p < 0.0063UnclearCramér’s V = 0.246small
Has a viewChi-squareχ² = 8.5130.0365p < 0.0063UnclearCramér’s V = 0.351medium

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 38.183< 0.0001p < 0.0063Yesε² = 0.561large
Net price per SFKruskal–WallisH = 2.6530.4492p < 0.0063Unclearε² = 0.039small
Year builtKruskal–WallisH = 6.7230.0815p < 0.0063Unclearε² = 0.099medium
Days on marketKruskal–WallisH = 8.1430.0433p < 0.0063Unclearε² = 0.120medium
Discount from original listKruskal–WallisH = 7.4830.0580p < 0.0063Unclearε² = 0.110medium
Price cut before saleChi-squareχ² = 3.4030.3341p < 0.0063UnclearCramér’s V = 0.222small
Seller paid closing costs or repairsChi-squareχ² = 0.8630.8341p < 0.0063UnclearCramér’s V = 0.112small
Has a viewChi-squareχ² = 7.8830.0485p < 0.0063UnclearCramér’s V = 0.338medium

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 4.5130.2110p < 0.0063Unclearε² = 0.066medium
Net price per SFKruskal–WallisH = 5.7830.1228p < 0.0063Unclearε² = 0.085medium
Living areaKruskal–WallisH = 6.1230.1061p < 0.0063Unclearε² = 0.090medium
Days on marketKruskal–WallisH = 0.1130.9907p < 0.0063Unclearε² = 0.002negligible
Discount from original listKruskal–WallisH = 4.4830.2138p < 0.0063Unclearε² = 0.066medium
Price cut before saleChi-squareχ² = 4.7830.1886p < 0.0063UnclearCramér’s V = 0.263small
Seller paid closing costs or repairsChi-squareχ² = 1.3730.7137p < 0.0063UnclearCramér’s V = 0.141small
Has a viewChi-squareχ² = 1.3530.7166p < 0.0063UnclearCramér’s V = 0.140small

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 701.00—0.0108p < 0.0063Unclearrank-biserial r = 0.385medium
Net price per SFMann–Whitney UU = 539.00—0.6701p < 0.0063Unclearrank-biserial r = 0.065negligible
Living areaMann–Whitney UU = 715.00—0.0063p < 0.0063Unclearrank-biserial r = 0.413medium
Year builtMann–Whitney UU = 419.00—0.2560p < 0.0063Unclearrank-biserial r = 0.172small
Days on marketMann–Whitney UU = 489.00—0.8287p < 0.0063Unclearrank-biserial r = 0.034negligible
Discount from original listMann–Whitney UU = 568.00—0.4201p < 0.0063Unclearrank-biserial r = 0.123small
Price cut before saleChi-squareχ² = 0.7010.4028p < 0.0063UnclearCramér’s V = 0.101small
Seller paid closing costs or repairsChi-squareχ² = 0.1010.7537p < 0.0063UnclearCramér’s V = 0.038negligible

8.4 Data notes

Left out of the analysis: 72 new-construction sales (basic statistics only, section 7); 2 sale(s) with concessions above 10% of price. 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 69 closed MLS resale sales; the 72 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.