ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Santa Rita Ranch

Liberty Hill, TX 78642
Resale homes · closed Oct 31 – Oct 30, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
October 31, 2026 · 6:47 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
$495,000
average $533,318
Median net price per SF
$189
average $201
Median days on market
81 days
average 110 days
1. SummaryResale homes · 69 sales · October 31, 2025 – October 30, 2026

This study looks at the 69 resale homes sold in Santa Rita Ranch in the 365 days to October 30, 2026. A full year is used because only 38 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 $417K · 17 sales$417K–$485K · 17 sales$495K–$634K · 18 salesOver $634K · 17 sales
3. Quartiles by net sale priceResale homes · 69 sales · October 31, 2025 – October 30, 2026

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

2026-10-31T06:47:34.195575 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 17 17 18 17 69 sales Sales per group Under $417K: 17 sales (25%) $417K–$485K: 17 sales (25%) $495K–$634K: 18 sales (26%) Over $634K: 17 sales (25%)
Bottom line

3.1 Key differences

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

Under $417K$417K–$485K$495K–$634KOver $634K
Higher-priced homes Over $634K
  • Are much larger.
  • Sell for more per square foot.
Lower-priced homes Under $417K
  • Are much smaller.
  • Sell for less per square foot.

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 $417K$417K–$485K$495K–$634KOver $634KReal difference?
Net price per SF$190 per SF$179 per SFLowest$209 per SF$224 per SFHighest✓ large
Living area1,853 SFSmallest2,529 SF2,727 SF3,548 SFLargest✓ large
Year built2020202020212022unclear
Days on market53 days91 days87 days104 daysunclear
Discount from original list5.4%8.6%7.8%8.7%unclear
Price cut before sale35%65%50%71%unclear
Seller paid closing costs or repairs65%59%50%29%unclear
Has a view53%18%28%41%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 Homes over $634K sell for about $35 per SF (18%) more than homes under $417K

2026-10-31T06:47:34.226861 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $417K 17 sales $417K– $485K 17 sales $495K– $634K 18 sales Over $634K 17 sales $0 $100 $200 $190 $179 $209 $224 Net price per SF, average

The average is $224 per SF for homes over $634K and $190 per SF for homes under $417K. It does not move in a straight line; homes over $634K are highest. Defined in 8.1.2.

✓ Real difference · large

3.4 Homes over $634K are about 1,700 SF (91%) larger than homes under $417K

2026-10-31T06:47:34.250683 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $417K 17 sales $417K– $485K 17 sales $495K– $634K 18 sales Over $634K 17 sales 0 2,000 4,000 1,853 2,529 2,727 3,548 Living area (SF), average

The average is 3,548 SF for homes over $634K and 1,853 SF for homes under $417K. 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

2026-10-31T06:47:34.276877 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $417K 17 sales $417K– $485K 17 sales $495K– $634K 18 sales Over $634K 17 sales 2018 2020 2022 2024 2020 2020 2021 2022 Year built: median (dot) and middle half (bar)

The median is 2022 for homes over $634K and 2020 for homes under $417K. It rises step by step from the lowest range to the highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-10-31T06:47:34.302234 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $417K 17 sales $417K– $485K 17 sales $495K– $634K 18 sales Over $634K 17 sales 0 50 100 53 91 87 104 Days on market, median

The median is 104 days for homes over $634K and 53 days for homes under $417K. It does not move in a straight line; homes over $634K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-31T06:47:34.325865 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $417K 17 sales $417K– $485K 17 sales $495K– $634K 18 sales Over $634K 17 sales 0.0% 5.0% 10.0% 5.4% 8.6% 7.8% 8.7% Discount from original list, average

The average is 8.7% for homes over $634K and 5.4% for homes under $417K. It does not move in a straight line; homes over $634K 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

2026-10-31T06:47:34.356934 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% 35 65 53 65 59 18 50 50 28 71 29 41 Under $417K $417K–$485K $495K–$634K Over $634K

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

  • 71% of homes over $634K had a price cut before sale, against 35% of homes under $417K. Defined in 8.1.7.
  • 29% of homes over $634K had the seller pay closing costs or repairs, against 65% of homes under $417K. Defined in 8.1.8.
  • 41% of homes over $634K have a view, against 53% of homes under $417K. 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 $417K17 sales$417K–$485K17 sales$495K–$634K18 salesOver $634K17 salesAll69 salesReal difference?
Net sale price average$343,179$449,192$548,786$791,206$533,318by design
Net price per SF average$190$179$209$224$201✓ large
Living area average1,8532,5292,7273,5482,665✓ large
Year built median20202020202120222021unclear

3.10 The numbers: selling

Under $417K17 sales$417K–$485K17 sales$495K–$634K18 salesOver $634K17 salesAll69 salesReal difference?
Days on market median53918710481unclear
Discount from original list average5.4%8.6%7.8%8.7%7.6%unclear
Price cut before sale35%65%50%71%55%unclear
Seller paid closing costs or repairs65%59%50%29%51%unclear
Has a view53%18%28%41%35%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 31, 2025 – October 30, 2026

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

2026-10-31T06:47:34.379656 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 17 17 18 17 69 sales Sales per group Under 2,046 SF: 17 sales (25%) 2,046–2,666 SF: 17 sales (25%) 2,697–3,049 SF: 18 sales (26%) Over 3,049 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 2,046 SF2,046–2,666 SF2,697–3,049 SFOver 3,049 SF
Larger homes Over 3,049 SF
  • Sell for much more.
Smaller homes Under 2,046 SF
  • Sell for much less.

4.2 At a glance

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

Under 2,046 SF2,046–2,666 SF2,697–3,049 SFOver 3,049 SFReal difference?
Net sale price$360KLowest$469K$539K$765KHighest✓ large
Net price per SF$210 per SF$196 per SF$187 per SF$209 per SFunclear
Year built2021202120202023unclear
Days on market53 days91 days44 days128 daysunclear
Discount from original list5.1%7.9%7.2%10.4%unclear
Price cut before sale35%76%39%71%unclear
Seller paid closing costs or repairs59%71%39%35%unclear
Has a view59%29%22%29%unclear

4.3 Homes over 3,049 SF sell for about $405K (113%) more than homes under 2,046 SF

2026-10-31T06:47:34.402345 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,046 SF 17 sales 2,046– 2,666 SF 17 sales 2,697– 3,049 SF 18 sales Over 3,049 SF 17 sales $0K $250K $500K $750K $360K $469K $539K $765K Net sale price, average

The average is $765K for homes over 3,049 SF and $360K for homes under 2,046 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

2026-10-31T06:47:34.427351 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,046 SF 17 sales 2,046– 2,666 SF 17 sales 2,697– 3,049 SF 18 sales Over 3,049 SF 17 sales $0 $100 $200 $210 $196 $187 $209 Net price per SF, average

The average is $209 per SF for homes over 3,049 SF and $210 per SF for homes under 2,046 SF. It does not move in a straight line; homes under 2,046 SF are highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-10-31T06:47:34.451913 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,046 SF 17 sales 2,046– 2,666 SF 17 sales 2,697– 3,049 SF 18 sales Over 3,049 SF 17 sales 2018 2020 2022 2024 2021 2021 2020 2023 Year built: median (dot) and middle half (bar)

The median is 2023 for homes over 3,049 SF and 2021 for homes under 2,046 SF. It does not move in a straight line; homes over 3,049 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-10-31T06:47:34.476211 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,046 SF 17 sales 2,046– 2,666 SF 17 sales 2,697– 3,049 SF 18 sales Over 3,049 SF 17 sales 0 50 100 150 53 91 44 128 Days on market, median

The median is 128 days for homes over 3,049 SF and 53 days for homes under 2,046 SF. It does not move in a straight line; homes over 3,049 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-31T06:47:34.499425 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,046 SF 17 sales 2,046– 2,666 SF 17 sales 2,697– 3,049 SF 18 sales Over 3,049 SF 17 sales 0.0% 5.0% 10.0% 5.1% 7.9% 7.2% 10.4% Discount from original list, average

The average is 10.4% for homes over 3,049 SF and 5.1% for homes under 2,046 SF. It does not move in a straight line; homes over 3,049 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

2026-10-31T06:47:34.526952 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% 35 59 59 76 71 29 39 39 22 71 35 29 Under 2,046 SF 2,046–2,666 SF 2,697–3,049 SF Over 3,049 SF

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

  • 71% of homes over 3,049 SF had a price cut before sale, against 35% of homes under 2,046 SF. Defined in 8.1.7.
  • 35% of homes over 3,049 SF had the seller pay closing costs or repairs, against 59% of homes under 2,046 SF. Defined in 8.1.8.
  • 29% of homes over 3,049 SF have a view, against 59% of homes under 2,046 SF. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance

4.9 The numbers: price and size

Under 2,046 SF17 sales2,046–2,666 SF17 sales2,697–3,049 SF18 salesOver 3,049 SF17 salesAll69 salesReal difference?
Net sale price average$359,650$469,309$539,169$764,800$533,318✓ large
Net price per SF average$210$196$187$209$201unclear
Living area average1,7262,4062,8843,6332,665by design
Year built median20212021202020232021unclear

4.10 The numbers: selling

Under 2,046 SF17 sales2,046–2,666 SF17 sales2,697–3,049 SF18 salesOver 3,049 SF17 salesAll69 salesReal difference?
Days on market median53914412881unclear
Discount from original list average5.1%7.9%7.2%10.4%7.6%unclear
Price cut before sale35%76%39%71%55%unclear
Seller paid closing costs or repairs59%71%39%35%51%unclear
Has a view59%29%22%29%35%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 31, 2025 – October 30, 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.

2026-10-31T06:47:34.548934 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 19 10 23 17 69 sales Sales per group Before 2020: 19 sales (28%) 2020: 10 sales (14%) 2021–2022: 23 sales (33%) After 2022: 17 sales (25%)
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 202020202021–2022After 2022Real difference?
Net sale price$458K$494K$518K$661Kunclear
Net price per SF$185 per SF$198 per SF$207 per SF$211 per SFunclear
Living area2,484 SF2,582 SF2,542 SF3,085 SFunclear
Days on market79 days96 days65 days102 daysunclear
Discount from original list8.0%7.8%5.9%9.5%unclear
Price cut before sale47%70%43%71%unclear
Seller paid closing costs or repairs68%50%61%18%unclear
Has a view37%20%48%24%unclear

5.3 Net sale price: no clear difference

2026-10-31T06:47:34.571057 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2020 19 sales 2020 10 sales 2021– 2022 23 sales After 2022 17 sales $0K $200K $400K $600K $458K $494K $518K $661K Net sale price, average

The average is $661K for homes built after 2022 and $458K for homes built before 2020. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-10-31T06:47:34.596269 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2020 19 sales 2020 10 sales 2021– 2022 23 sales After 2022 17 sales $0 $100 $200 $185 $198 $207 $211 Net price per SF, average

The average is $211 per SF for homes built after 2022 and $185 per SF for homes built before 2020. It rises step by step from the lowest range to the highest. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-10-31T06:47:34.618649 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2020 19 sales 2020 10 sales 2021– 2022 23 sales After 2022 17 sales 0 1,000 2,000 3,000 2,484 2,582 2,542 3,085 Living area (SF), average

The average is 3,085 SF for homes built after 2022 and 2,484 SF for homes built before 2020. It does not move in a straight line; homes built after 2022 are highest. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-10-31T06:47:34.641449 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2020 19 sales 2020 10 sales 2021– 2022 23 sales After 2022 17 sales 0 50 100 79 96 65 102 Days on market, median

The median is 102 days for homes built after 2022 and 79 days for homes built before 2020. It does not move in a straight line; homes built after 2022 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-10-31T06:47:34.665442 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2020 19 sales 2020 10 sales 2021– 2022 23 sales After 2022 17 sales 0.0% 5.0% 10.0% 8.0% 7.8% 5.9% 9.5% Discount from original list, average

The average is 9.5% for homes built after 2022 and 8.0% for homes built before 2020. It does not move in a straight line; homes built after 2022 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

2026-10-31T06:47:34.692383 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% 47 68 37 70 50 20 43 61 48 71 18 24 Before 2020 2020 2021–2022 After 2022

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

  • 71% of homes built after 2022 had a price cut before sale, against 47% of homes built before 2020. Defined in 8.1.7.
  • 18% of homes built after 2022 had the seller pay closing costs or repairs, against 68% of homes built before 2020. Defined in 8.1.8.
  • 24% of homes built after 2022 have a view, against 37% of homes built before 2020. 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 202019 sales202010 sales2021–202223 salesAfter 202217 salesAll69 salesReal difference?
Net sale price average$458,440$494,430$517,578$661,176$533,318unclear
Net price per SF average$185$198$207$211$201unclear
Living area average2,4842,5822,5423,0852,665unclear
Year built median20182020202120232021by design

5.10 The numbers: selling

Before 202019 sales202010 sales2021–202223 salesAfter 202217 salesAll69 salesReal difference?
Days on market median79966510281unclear
Discount from original list average8.0%7.8%5.9%9.5%7.6%unclear
Price cut before sale47%70%43%71%55%unclear
Seller paid closing costs or repairs68%50%61%18%51%unclear
Has a view37%20%48%24%35%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 31, 2025 – October 30, 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. 2 sales whose MLS view entry is only “See Remarks” are left out.

2026-10-31T06:47:34.712168 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 24 43 67 sales Sales per group View: 24 sales (36%) No view: 43 sales (64%)
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$545K$521Kunclear
Net price per SF$220 per SF$189 per SFunclear
Living area2,491 SF2,746 SFunclear
Year built20212021unclear
Days on market63 days97 daysunclear
Discount from original list7.9%7.5%unclear
Price cut before sale58%51%unclear
Seller paid closing costs or repairs46%53%unclear

6.3 Net sale price: no clear difference

2026-10-31T06:47:34.728878 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 24 sales No view 43 sales $0K $200K $400K $600K $545K $521K Net sale price, average

The average is $545K for homes with a view and $521K 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

2026-10-31T06:47:34.747829 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 24 sales No view 43 sales $0 $100 $200 $220 $189 Net price per SF, average

The average is $220 per SF for homes with a view and $189 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

2026-10-31T06:47:34.767223 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 24 sales No view 43 sales 0 1,000 2,000 3,000 2,491 2,746 Living area (SF), average

The average is 2,491 SF for homes with a view and 2,746 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-31T06:47:34.862811 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 24 sales No view 43 sales 2019 2020 2021 2022 2021 2021 Year built: median (dot) and middle half (bar)

The median is 2021 for homes with a view and 2021 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-31T06:47:34.883256 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 24 sales No view 43 sales 0 25 50 75 100 63 97 Days on market, median

The median is 63 days for homes with a view and 97 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

2026-10-31T06:47:34.904077 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 24 sales No view 43 sales 0.0% 2.0% 4.0% 6.0% 8.0% 7.9% 7.5% Discount from original list, average

The average is 7.9% for homes with a view and 7.5% 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

2026-10-31T06:47:34.925264 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 58 46 51 53 View No view

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

  • 58% of homes with a view had a price cut before sale, against 51% of homes without a view. Defined in 8.1.7.
  • 46% of homes with a view had the seller pay closing costs or repairs, against 53% 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 view43 salesAll67 salesReal difference?
Net sale price average$544,725$521,083$529,552unclear
Net price per SF average$220$189$200unclear
Living area average2,4912,7462,655unclear
Year built median202120212021unclear

6.11 The numbers: selling

View24 salesNo view43 salesAll67 salesReal difference?
Days on market median639781unclear
Discount from original list average7.9%7.5%7.6%unclear
Price cut before sale58%51%54%unclear
Seller paid closing costs or repairs46%53%51%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 · 219 sales · October 31, 2025 – October 30, 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: 219 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 Santa Rita Ranch.
MeasureAverageMedian
Sales219
Net sale price$642,231$614,600
Net price per SF$204$200
Living area (SF)3,1273,080
Days on market166135
Discount from original list14.4%14.5%
Price cut before sale86% of sales
Seller paid closing costs or repairs70% 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 $533,318; median $495,000; standard deviation $189,771; middle half (25th–75th percentile) $416,600–$634,000; lowest $263,750, highest $1,235,000. 35 sales had a seller payment; their median payment was $7,500.

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 $201; median $189; standard deviation $40; middle half (25th–75th percentile) $176–$217; lowest $133, highest $338.

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 2,665; median 2,697; standard deviation 739; middle half (25th–75th percentile) 2,046–3,049; lowest 1,207, highest 4,524.

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 2021; median 2021; standard deviation 3; middle half (25th–75th percentile) 2019–2022; lowest 2014, 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 110; median 81; standard deviation 101; middle half (25th–75th percentile) 32–157; lowest 4, highest 391. 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 7.6%; median 4.9%; standard deviation 7.2%; middle half (25th–75th percentile) 2.8%–9.7%; lowest 0.0%, highest 33.6%. 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
38 of 69 resale sales (55.1%).

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
35 of 69 resale sales (50.7%).

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, 43 without, 2 unclassified. Most common View entries: None 27, Neighborhood 18, Park/Greenbelt 15, Pond 8, Hill Country 4, Panoramic 3, See Remarks 3, Trees/Woods 2.

8.2 Methods

8.2.1 Data source

In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
Bridge Interactive RESO Web API (OData), ABOR dataset, every field returned. Filter: StandardStatus = Closed, PropertyType = Residential, City = Liberty Hill, SubdivisionName contains any of “santa rita ranch”, “eldorado at santa rita ranch”, “santa rita ranch eldorado”, “santa rita” (case-insensitive). A record is kept when its subdivision name belongs to the Santa Rita Ranch family, the same rule comparable sales use (it includes Eldorado at Santa Rita Ranch, Santa Rita Ranch- Eldorado, Santa Rita, proven adjacent and priced alike).
The data
Pulled October 31, 2026: 291 closed Santa Rita Ranch records over the prior year, in ZIP 78642. 32 subdivision spellings kept, the most common: Santa Rita Ranch (194); Santa Rita Ranch- Eldorado (22); Eldorado at Santa Rita Ranch (20); Santa Rita Ranch 60s (5); Santa Rita (4); Santa Rita Ranch Ph 1 Sec 9 (4); Santa Rita Ranch Ph 7B Sec 3 - 60 (4); Santa Rita Ranch 90s (3); SANTA RITA RANCH (3); ElDorado at Santa Rita Ranch (3); Santa Rita Ranch 40s (2); Santa Rita Ranch Ph 2A Sec 3 (2); and 20 more (25 records). Names found by the search but not part of Santa Rita Ranch, left out: Santa Rita Ranch at Saddleback (39); Santa Rita Ranch at Homestead (26); Saddleback at Santa Rita Ranch (8); Toll Brothers at Santa Rita Ranch (7); Santa Rita Ranch North (6); Regency at Santa Rita Ranch - Garden Collection (6); Santa Rita Ranch South Sec 16 (5); Regency at Santa Rita Ranch - Orchard Collection (5); Santa Rita Ranch South (5); Regency at Santa Rita Ranch - Meadow Collection (4); Santa Rita Ranch South Sec 17 (4); Santa Rita Ranch South Sec 12 (4); Santa Rita Ranch - Eldorado - Sierra Collection (4); Santa Rita Ranch Augustine (3); Saddleback/Santa Rita Ranch Ph (3); Regency at Santa Rita Ranch (3); Santa Rita Ranch South Sec 9A (3); Santa Rita Ranch - Eldorado - Maravilla Collection (3); Santa Rita Ranch South Sec 4B (2); SANTA RITA RANCH SOUTH (2); Santa Rita Ranch South Sec 11 (2); Santa Rita Ranch - Eldorado - Tesoro Collection (2); Santa Rita South Sec 3A (1); Santa Rita Ranch South Sec 5A (1); Santa Rita Ranch South Sec 13 (1); Santa Rita Ranch South Sec 15 (1); Santa Rita Ranch South Sec 7C (1); Saddleback/Santa Rita Ranch 1 (1); Santa Rita Ranch South Sec 7B (1); Santa Rita South Sec 4A (1); santa rita ranch south sec 16 (1); Santa Rita Ranch Estates (1); Santa Rita Ranch South Sec 4a (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 38 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 31, 2025 to October 30, 2026 inclusive.
The data
288 single-family sales in the window: 69 resale, 219 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; 219 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) other than single-family homes (condo, townhome and similar); 1 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 $417K”.
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 $417K: $263,750–$415,000 (17 sales); $417K–$485K: $416,600–$485,000 (17 sales); $495K–$634K: $495,000–$634,000 (18 sales); Over $634K: $648,000–$1,235,000 (17 sales)
Quartiles by living area: Under 2,046 SF: 1,207–2,033 SF (17 sales); 2,046–2,666 SF: 2,046–2,666 SF (17 sales); 2,697–3,049 SF: 2,697–3,049 SF (18 sales); Over 3,049 SF: 3,106–4,524 SF (17 sales)
Quartiles by year built: Before 2020: 2014–2019 (19 sales); 2020: 2020–2020 (10 sales); 2021–2022: 2021–2022 (23 sales); After 2022: 2023–2025 (17 sales)
View and no view: View: MLS lists a view (24 sales); No view: None or Neighborhood (43 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 $533,318, median $495,000. Days on market: average 110, median 81: the average is pulled up by a few long listings.

8.2.7 Kruskal–Wallis test

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

8.2.8 Mann–Whitney U test

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

8.2.9 Chi-square test

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

8.2.10 Real difference (significance)

In simple terms
“Real difference” means a gap this large would be very unlikely if the groups were really alike. Because many measures are checked in each slice, the bar is set higher than usual.
Statistically
Significant when p < 0.05 ÷ m, where m is the number of measures tested in that slice (Bonferroni; Dunn, 1961). The slicing variable itself differs by design and is not tested.
The data
Quartiles by net sale price: m = 8, threshold p < 0.0063; Quartiles by living area: m = 8, threshold p < 0.0063; Quartiles by year built: m = 8, threshold p < 0.0063; View and no view: m = 8, threshold p < 0.0063

8.2.11 Size of a difference

In simple terms
A difference can be real but small. The size word (small, medium, large) says how much the groups pull apart.
Statistically
ε² for Kruskal–Wallis, rank-biserial r for Mann–Whitney, Cramér's V for chi-square, with the thresholds above; below the small threshold the size is “negligible”.
The data
3 real differences across the four slices; sizes are listed in 8.3.

8.2.12 Rounding in the text

In simple terms
Headings and sentences round figures so they read easily; the tables at the end of each section give them in full.
Statistically
Prices in headings round to the nearest $1K; price per SF and days on market to the nearest whole number; living area to the nearest 10 SF; shares and percentage gaps to whole percents.
The data
Days on market is always shown in days.

8.3 Test results

Every test behind every gold box. Statistic, degrees of freedom (df), p-value, the threshold it must beat, and the size of the difference.

8.3.1 Quartiles by net sale price

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net price per SFKruskal–WallisH = 12.9130.0048p < 0.0063Yesε² = 0.190large
Living areaKruskal–WallisH = 44.223< 0.0001p < 0.0063Yesε² = 0.650large
Year builtKruskal–WallisH = 5.9230.1155p < 0.0063Unclearε² = 0.087medium
Days on marketKruskal–WallisH = 4.6530.1989p < 0.0063Unclearε² = 0.068medium
Discount from original listKruskal–WallisH = 3.3730.3384p < 0.0063Unclearε² = 0.050small
Price cut before saleChi-squareχ² = 5.1730.1600p < 0.0063UnclearCramér’s V = 0.274small
Seller paid closing costs or repairsChi-squareχ² = 4.8730.1817p < 0.0063UnclearCramér’s V = 0.266small
Has a viewChi-squareχ² = 5.3730.1468p < 0.0063UnclearCramér’s V = 0.279small

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 47.293< 0.0001p < 0.0063Yesε² = 0.695large
Net price per SFKruskal–WallisH = 4.0130.2604p < 0.0063Unclearε² = 0.059small
Year builtKruskal–WallisH = 7.9330.0475p < 0.0063Unclearε² = 0.117medium
Days on marketKruskal–WallisH = 6.2630.0995p < 0.0063Unclearε² = 0.092medium
Discount from original listKruskal–WallisH = 6.1230.1061p < 0.0063Unclearε² = 0.090medium
Price cut before saleChi-squareχ² = 9.3930.0245p < 0.0063UnclearCramér’s V = 0.369medium
Seller paid closing costs or repairsChi-squareχ² = 5.7630.1240p < 0.0063UnclearCramér’s V = 0.289small
Has a viewChi-squareχ² = 6.0230.1109p < 0.0063UnclearCramér’s V = 0.295small

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 9.6330.0220p < 0.0063Unclearε² = 0.142large
Net price per SFKruskal–WallisH = 3.8730.2762p < 0.0063Unclearε² = 0.057small
Living areaKruskal–WallisH = 7.5030.0576p < 0.0063Unclearε² = 0.110medium
Days on marketKruskal–WallisH = 1.8130.6122p < 0.0063Unclearε² = 0.027small
Discount from original listKruskal–WallisH = 3.7930.2849p < 0.0063Unclearε² = 0.056small
Price cut before saleChi-squareχ² = 4.2630.2347p < 0.0063UnclearCramér’s V = 0.248small
Seller paid closing costs or repairsChi-squareχ² = 10.7730.0130p < 0.0063UnclearCramér’s V = 0.395medium
Has a viewChi-squareχ² = 3.6730.2990p < 0.0063UnclearCramér’s V = 0.231small

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 489.00—0.7289p < 0.0063Unclearrank-biserial r = 0.052negligible
Net price per SFMann–Whitney UU = 684.00—0.0285p < 0.0063Unclearrank-biserial r = 0.326medium
Living areaMann–Whitney UU = 370.00—0.0571p < 0.0063Unclearrank-biserial r = 0.283small
Year builtMann–Whitney UU = 534.50—0.8123p < 0.0063Unclearrank-biserial r = 0.036negligible
Days on marketMann–Whitney UU = 400.50—0.1326p < 0.0063Unclearrank-biserial r = 0.224small
Discount from original listMann–Whitney UU = 483.50—0.6756p < 0.0063Unclearrank-biserial r = 0.063negligible
Price cut before saleChi-squareχ² = 0.3210.5725p < 0.0063UnclearCramér’s V = 0.069negligible
Seller paid closing costs or repairsChi-squareχ² = 0.3610.5479p < 0.0063UnclearCramér’s V = 0.073negligible

8.4 Data notes

Left out of the analysis: 219 new-construction sales (basic statistics only, section 7); 2 sale(s) other than single-family homes (condo, townhome and similar); 1 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 219 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled October 31, 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.