ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Orchard Ridge

Liberty Hill, TX 78642
Resale homes · closed Nov 1 – Oct 31, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
November 1, 2026 · 7:19 AM CST
MARKET STUDY All analysis covers resale homes only. New construction appears once, in its own section. Click any dot on the map for that sale.
Resale sales, 365 days
25
single-family resale homes
Median net sale price
$345,000
average $385,406
Median net price per SF
$172
average $173
Median days on market
69 days
average 90 days
1. SummaryResale homes · 25 sales · November 1, 2025 – October 31, 2026

This study looks at the 25 resale homes sold in Orchard Ridge in the 365 days to October 31, 2026. A full year is used because only 13 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 sold25 resale homes · colored by price range

Each dot is one resale home, colored by its price range. Use the buttons to show one price range at a time. Click a dot for that sale: address, close date, original and last list price, net sale price, living area, net sale per SF and days on market. Scroll or pinch to zoom.

Under $320K · 6 sales$320K–$342K · 6 sales$345K–$418K · 7 salesOver $418K · 6 sales
3. Quartiles by net sale priceResale homes · 25 sales · November 1, 2025 – October 31, 2026

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

2026-11-01T07:19:50.851424 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 6 7 6 25 sales Sales per group Under $320K: 6 sales (24%) $320K–$342K: 6 sales (24%) $345K–$418K: 7 sales (28%) Over $418K: 6 sales (24%)
Bottom line

3.1 Key differences

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

Under $320K$320K–$342K$345K–$418KOver $418K
Higher-priced homes Over $418K
  • Are much larger.
Lower-priced homes Under $320K
  • Are much smaller.

3.2 At a glance

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

Under $320K$320K–$342K$345K–$418KOver $418KReal difference?
Net price per SF$182 per SF$163 per SF$168 per SF$179 per SFunclear
Living area1,686 SFSmallest2,078 SF2,270 SF3,002 SFLargest✓ large
Year built2020202020192020unclear
Days on market74 days54 days79 days53 daysunclear
Discount from original list6.8%6.0%6.9%6.6%unclear
Price cut before sale83%50%71%83%unclear
Seller paid closing costs or repairs50%83%57%67%unclear
Has a view33%17%43%50%unclear

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

3.3 Net price per SF: no clear difference

2026-11-01T07:19:50.879477 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $320K 6 sales $320K– $342K 6 sales $345K– $418K 7 sales Over $418K 6 sales $0 $100 $200 $182 $163 $168 $179 Net price per SF, average

The average is $179 per SF for homes over $418K and $182 per SF for homes under $320K. It does not move in a straight line; homes under $320K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Homes over $418K are about 1,320 SF (78%) larger than homes under $320K

2026-11-01T07:19:50.901890 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $320K 6 sales $320K– $342K 6 sales $345K– $418K 7 sales Over $418K 6 sales 0 1,000 2,000 3,000 1,686 2,078 2,270 3,002 Living area (SF), average

The average is 3,002 SF for homes over $418K and 1,686 SF for homes under $320K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

✓ Real difference · large

3.5 Year built: no clear difference

2026-11-01T07:19:50.924786 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $320K 6 sales $320K– $342K 6 sales $345K– $418K 7 sales Over $418K 6 sales 2019 2020 2021 2020 2020 2019 2020 Year built: median (dot) and middle half (bar)

The median is 2020 for homes over $418K and 2020 for homes under $320K. It does not move in a straight line; homes $320K–$342K are highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-11-01T07:19:50.946895 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $320K 6 sales $320K– $342K 6 sales $345K– $418K 7 sales Over $418K 6 sales 0 25 50 75 74 54 79 53 Days on market, median

The median is 53 days for homes over $418K and 74 days for homes under $320K. It does not move in a straight line; homes $345K–$418K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-11-01T07:19:50.969992 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $320K 6 sales $320K– $342K 6 sales $345K– $418K 7 sales Over $418K 6 sales 0.0% 2.5% 5.0% 7.5% 6.8% 6.0% 6.9% 6.6% Discount from original list, average

The average is 6.6% for homes over $418K and 6.8% for homes under $320K. It does not move in a straight line; homes $345K–$418K are highest. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-11-01T07:19:50.999787 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% 83 50 33 50 83 17 71 57 43 83 67 50 Under $320K $320K–$342K $345K–$418K Over $418K

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

  • 83% of homes over $418K had a price cut before sale, against 83% of homes under $320K. Defined in 8.1.7.
  • 67% of homes over $418K had the seller pay closing costs or repairs, against 50% of homes under $320K. Defined in 8.1.8.
  • 50% of homes over $418K have a view, against 33% of homes under $320K. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance

3.9 The numbers: price and size

Under $320K6 sales$320K–$342K6 sales$345K–$418K7 salesOver $418K6 salesAll25 salesReal difference?
Net sale price average$303,993$331,265$376,329$531,549$385,406by design
Net price per SF average$182$163$168$179$173unclear
Living area average1,6862,0782,2703,0022,260✓ large
Year built median20202020201920202020unclear

3.10 The numbers: selling

Under $320K6 sales$320K–$342K6 sales$345K–$418K7 salesOver $418K6 salesAll25 salesReal difference?
Days on market median7454795369unclear
Discount from original list average6.8%6.0%6.9%6.6%6.6%unclear
Price cut before sale83%50%71%83%72%unclear
Seller paid closing costs or repairs50%83%57%67%64%unclear
Has a view33%17%43%50%36%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 · 25 sales · November 1, 2025 – October 31, 2026

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

2026-11-01T07:19:51.019964 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 6 7 6 25 sales Sales per group Under 1,705 SF: 6 sales (24%) 1,705–2,363 SF: 6 sales (24%) 2,366–2,501 SF: 7 sales (28%) Over 2,501 SF: 6 sales (24%)
Bottom line

4.1 Key differences

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

Under 1,705 SF1,705–2,363 SF2,366–2,501 SFOver 2,501 SF
Larger homes Over 2,501 SF
  • Sell for much more.
Smaller homes Under 1,705 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 1,705 SF1,705–2,363 SF2,366–2,501 SFOver 2,501 SFReal difference?
Net sale price$310KLowest$335K$378K$520KHighest✓ large
Net price per SF$192 per SF$173 per SF$156 per SF$173 per SFunclear
Year built2020202020202021unclear
Days on market98 days32 days57 days65 daysunclear
Discount from original list6.1%5.2%6.6%8.3%unclear
Price cut before sale67%50%86%83%unclear
Seller paid closing costs or repairs67%50%86%50%unclear
Has a view17%50%43%33%unclear

4.3 Homes over 2,501 SF sell for about $210K (68%) more than homes under 1,705 SF

2026-11-01T07:19:51.040315 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,705 SF 6 sales 1,705– 2,363 SF 6 sales 2,366– 2,501 SF 7 sales Over 2,501 SF 6 sales $0K $200K $400K $600K $310K $335K $378K $520K Net sale price, average

The average is $520K for homes over 2,501 SF and $310K for homes under 1,705 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

✓ Real difference · large

4.4 Net price per SF: no clear difference

2026-11-01T07:19:51.062977 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,705 SF 6 sales 1,705– 2,363 SF 6 sales 2,366– 2,501 SF 7 sales Over 2,501 SF 6 sales $0 $100 $200 $192 $173 $156 $173 Net price per SF, average

The average is $173 per SF for homes over 2,501 SF and $192 per SF for homes under 1,705 SF. It does not move in a straight line; homes under 1,705 SF are highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-11-01T07:19:51.085417 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,705 SF 6 sales 1,705– 2,363 SF 6 sales 2,366– 2,501 SF 7 sales Over 2,501 SF 6 sales 2019 2020 2021 2020 2020 2020 2021 Year built: median (dot) and middle half (bar)

The median is 2021 for homes over 2,501 SF and 2020 for homes under 1,705 SF. It does not move in a straight line; homes over 2,501 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-11-01T07:19:51.108460 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,705 SF 6 sales 1,705– 2,363 SF 6 sales 2,366– 2,501 SF 7 sales Over 2,501 SF 6 sales 0 50 100 98 32 57 65 Days on market, median

The median is 65 days for homes over 2,501 SF and 98 days for homes under 1,705 SF. It does not move in a straight line; homes under 1,705 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-11-01T07:19:51.130639 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,705 SF 6 sales 1,705– 2,363 SF 6 sales 2,366– 2,501 SF 7 sales Over 2,501 SF 6 sales 0.0% 2.5% 5.0% 7.5% 6.1% 5.2% 6.6% 8.3% Discount from original list, average

The average is 8.3% for homes over 2,501 SF and 6.1% for homes under 1,705 SF. It does not move in a straight line; homes over 2,501 SF are highest. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-11-01T07:19:51.157444 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% 67 67 17 50 50 50 86 86 43 83 50 33 Under 1,705 SF 1,705–2,363 SF 2,366–2,501 SF Over 2,501 SF

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

  • 83% of homes over 2,501 SF had a price cut before sale, against 67% of homes under 1,705 SF. Defined in 8.1.7.
  • 50% of homes over 2,501 SF had the seller pay closing costs or repairs, against 67% of homes under 1,705 SF. Defined in 8.1.8.
  • 33% of homes over 2,501 SF have a view, against 17% of homes under 1,705 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 1,705 SF6 sales1,705–2,363 SF6 sales2,366–2,501 SF7 salesOver 2,501 SF6 salesAll25 salesReal difference?
Net sale price average$309,843$334,800$378,122$520,072$385,406✓ large
Net price per SF average$192$173$156$173$173unclear
Living area average1,6161,9522,4263,0172,260by design
Year built median20202020202020212020unclear

4.10 The numbers: selling

Under 1,705 SF6 sales1,705–2,363 SF6 sales2,366–2,501 SF7 salesOver 2,501 SF6 salesAll25 salesReal difference?
Days on market median9832576569unclear
Discount from original list average6.1%5.2%6.6%8.3%6.6%unclear
Price cut before sale67%50%86%83%72%unclear
Seller paid closing costs or repairs67%50%86%50%64%unclear
Has a view17%50%43%33%36%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 · 25 sales · November 1, 2025 – October 31, 2026

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

2026-11-01T07:19:51.180713 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 7 8 7 3 25 sales Sales per group Before 2020: 7 sales (28%) 2020: 8 sales (32%) 2021: 7 sales (28%) After 2021: 3 sales (12%)
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

2026-11-01T07:19:51.202711 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2020 7 sales 2020 8 sales 2021 7 sales After 2021 3 sales $0K $200K $400K $341K $379K $432K $396K Net sale price, average

The average is $396K for homes built after 2021 and $341K for homes built before 2020. It does not move in a straight line; homes built 2021 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-11-01T07:19:51.227922 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2020 7 sales 2020 8 sales 2021 7 sales After 2021 3 sales $0 $50 $100 $150 $200 $167 $183 $173 $157 Net price per SF, average

The average is $157 per SF for homes built after 2021 and $167 per SF for homes built before 2020. It does not move in a straight line; homes built 2020 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-11-01T07:19:51.250985 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2020 7 sales 2020 8 sales 2021 7 sales After 2021 3 sales 0 1,000 2,000 3,000 2,095 2,066 2,536 2,514 Living area (SF), average

The average is 2,514 SF for homes built after 2021 and 2,095 SF for homes built before 2020. It does not move in a straight line; homes built 2021 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-11-01T07:19:51.273286 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2020 7 sales 2020 8 sales 2021 7 sales After 2021 3 sales 0 50 100 150 200 80 32 183 28 Days on market, median

The median is 28 days for homes built after 2021 and 80 days for homes built before 2020. It does not move in a straight line; homes built 2021 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-11-01T07:19:51.299129 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2020 7 sales 2020 8 sales 2021 7 sales After 2021 3 sales 0.0% 2.5% 5.0% 7.5% 10.0% 6.1% 4.6% 9.2% 6.4% Discount from original list, average

The average is 6.4% for homes built after 2021 and 6.1% for homes built before 2020. It does not move in a straight line; homes built 2021 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

2026-11-01T07:19:51.329863 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 71 43 50 75 62 100 57 14 67 33 0 Before 2020 2020 2021 After 2021

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

  • 67% of homes built after 2021 had a price cut before sale, against 71% of homes built before 2020. Defined in 8.1.7.
  • 33% of homes built after 2021 had the seller pay closing costs or repairs, against 71% of homes built before 2020. Defined in 8.1.8.
  • 0% of homes built after 2021 have a view, against 43% of homes built before 2020. 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 20207 sales20208 sales20217 salesAfter 20213 salesAll25 sales
Net sale price average$341,273$378,977$432,274$396,167$385,406
Net price per SF average$167$183$173$157$173
Living area average2,0952,0662,5362,5142,260
Year built median20192020202120222020

5.10 The numbers: selling

Before 20207 sales20208 sales20217 salesAfter 20213 salesAll25 sales
Days on market median80321832869
Discount from original list average6.1%4.6%9.2%6.4%6.6%
Price cut before sale71%50%100%67%72%
Seller paid closing costs or repairs71%75%57%33%64%
Has a view43%62%14%0%36%

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 · 25 sales · November 1, 2025 – October 31, 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.

2026-11-01T07:19:51.350584 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 9 16 25 sales Sales per group View: 9 sales (36%) No view: 16 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$388K$384Kunclear
Net price per SF$184 per SF$167 per SFunclear
Living area2,130 SF2,332 SFunclear
Year built20202021unclear
Days on market32 days82 daysunclear
Discount from original list6.2%6.8%unclear
Price cut before sale67%75%unclear
Seller paid closing costs or repairs78%56%unclear

6.3 Net sale price: no clear difference

2026-11-01T07:19:51.376662 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 9 sales No view 16 sales $0K $100K $200K $300K $400K $388K $384K Net sale price, average

The average is $388K for homes with a view and $384K for homes without a view. Defined in 8.1.1.

– No clear difference · could be chance

6.4 Net price per SF: no clear difference

2026-11-01T07:19:51.400286 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 9 sales No view 16 sales $0 $50 $100 $150 $200 $184 $167 Net price per SF, average

The average is $184 per SF for homes with a view and $167 per SF for homes without a view. Defined in 8.1.2.

– No clear difference · could be chance

6.5 Living area: no clear difference

2026-11-01T07:19:51.427563 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 9 sales No view 16 sales 0 1,000 2,000 2,130 2,332 Living area (SF), average

The average is 2,130 SF for homes with a view and 2,332 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-11-01T07:19:51.511819 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 9 sales No view 16 sales 2019 2020 2021 2020 2021 Year built: median (dot) and middle half (bar)

The median is 2020 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

2026-11-01T07:19:51.531340 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 9 sales No view 16 sales 0 20 40 60 80 32 82 Days on market, median

The median is 32 days for homes with a view and 82 days for homes without a view. Defined in 8.1.5.

– No clear difference · could be chance

6.8 Discount from original list: no clear difference

2026-11-01T07:19:51.551277 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 9 sales No view 16 sales 0.0% 2.0% 4.0% 6.0% 8.0% 6.2% 6.8% Discount from original list, average

The average is 6.2% for homes with a view and 6.8% for homes without a view. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-11-01T07:19:51.573272 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 67 78 75 56 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 75% of homes without a view. Defined in 8.1.7.
  • 78% of homes with a view had the seller pay closing costs or repairs, against 56% 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

View9 salesNo view16 salesAll25 salesReal difference?
Net sale price average$387,858$384,026$385,406unclear
Net price per SF average$184$167$173unclear
Living area average2,1302,3322,260unclear
Year built median202020212020unclear

6.11 The numbers: selling

View9 salesNo view16 salesAll25 salesReal difference?
Days on market median328269unclear
Discount from original list average6.2%6.8%6.6%unclear
Price cut before sale67%75%72%unclear
Seller paid closing costs or repairs78%56%64%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 · 6 sales · November 1, 2025 – October 31, 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: 6 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 Orchard Ridge.
MeasureAverageMedian
Sales6
Net sale price$400,801$392,900
Net price per SF$168$159
Living area (SF)2,4382,555
Days on market122105
Discount from original list16.4%16.8%
Price cut before sale83% of sales
Seller paid closing costs or repairs50% of sales
Year built2025–2026

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
25 resale sales. Average $385,406; median $345,000; standard deviation $104,557; middle half (25th–75th percentile) $320,000–$418,500; lowest $289,060, highest $735,181. 16 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
25 resale sales. Average $173; median $172; standard deviation $22; middle half (25th–75th percentile) $153–$193; lowest $140, highest $204.

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
25 resale sales. Average 2,260; median 2,366; standard deviation 638; middle half (25th–75th percentile) 1,705–2,501; lowest 1,428, highest 3,973.

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
25 resale sales. Average 2020; median 2020; standard deviation 1; middle half (25th–75th percentile) 2019–2021; lowest 2016, highest 2022.

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
25 resale sales. Average 90; median 69; standard deviation 88; middle half (25th–75th percentile) 28–99; lowest 5, highest 308. 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
25 resale sales. Average 6.6%; median 6.3%; standard deviation 4.1%; middle half (25th–75th percentile) 3.0%–9.2%; lowest −1.0%, highest 14.6%. 1 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
18 of 25 resale sales (72.0%).

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
16 of 25 resale sales (64.0%).

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
9 sales with a view, 16 without, 0 unclassified. Most common View entries: None 12, Park/Greenbelt 8, Neighborhood 6, Trees/Woods 3, Panoramic 2, Skyline 1, Hill Country 1.

8.2 Methods

8.2.1 Data source

In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
ABOR MLS via secure APIs, read from ALEX's copy of the MLS (refreshed every 15 minutes; this pull as of 2026-11-01 13:15 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Liberty Hill, SubdivisionName contains any of “orchard ridge”, “highland meadows”, “highland mdws” (case-insensitive). A record is kept when its subdivision name belongs to the Orchard Ridge family, the same rule comparable sales use (it includes Highland Mdws Ph 1A, proven adjacent and priced alike).
The data
Pulled November 1, 2026: 31 closed Orchard Ridge records over the prior year, in ZIP 78642. 7 subdivision spellings kept: Orchard Ridge (23); Highland Mdws Ph 2E (2); Highland Mdws Ph 1A (2); ORCHARD RIDGE (1); HIGHLAND MEADOWS (1); Highland Mdws Ph 3B (1); Highland Meadows Ph 1C (1). Names found by the search but not part of Orchard Ridge, left out: Orchard Ridge I Highland Meadows Ph 1C (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 13 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from November 1, 2025 to October 31, 2026 inclusive.
The data
31 single-family sales in the window: 25 resale, 6 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
25 resale; 6 new construction.

8.2.4 Sales left out

In simple terms
A few records cannot be used as entered and are left out before any analysis.
Statistically
Excluded: PropertySubType other than Single Family Residence; no OriginalListPrice; LivingArea under 400 SF; seller payments above 10% of ClosePrice (treated as entry errors).
The data
None in this window.

8.2.5 Quartiles and groups

In simple terms
Sales lined up from lowest to highest and cut into four groups of about equal size. Each group is named by its range, for example “Under $320K”.
Statistically
Sort by the slicing variable; cut k sits at round(nk/4), k = 1…3. A cut that would split tied values moves to the nearer edge of the tie. A group under 3 sales merges into its smaller neighbor. Range names use the next group's lowest value (“Under”) and the previous group's highest value (“Over”/“After”).
The data
Quartiles by net sale price: Under $320K: $289,060–$319,000 (6 sales); $320K–$342K: $320,000–$342,000 (6 sales); $345K–$418K: $345,000–$418,500 (7 sales); Over $418K: $421,864–$735,181 (6 sales)
Quartiles by living area: Under 1,705 SF: 1,428–1,694 SF (6 sales); 1,705–2,363 SF: 1,705–2,363 SF (6 sales); 2,366–2,501 SF: 2,366–2,501 SF (7 sales); Over 2,501 SF: 2,513–3,973 SF (6 sales)
Quartiles by year built: Before 2020: 2016–2019 (7 sales); 2020: 2020–2020 (8 sales); 2021: 2021–2021 (7 sales); After 2021: 2022–2022 (3 sales)
View and no view: View: MLS lists a view (9 sales); No view: None or Neighborhood (16 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 $385,406, median $345,000. Days on market: average 90, median 69: 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; 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 = 2.9630.3976p < 0.0063Unclearε² = 0.123medium
Living areaKruskal–WallisH = 16.4230.0009p < 0.0063Yesε² = 0.684large
Year builtKruskal–WallisH = 2.3130.5105p < 0.0063Unclearε² = 0.096medium
Days on marketKruskal–WallisH = 0.4130.9384p < 0.0063Unclearε² = 0.017small
Discount from original listKruskal–WallisH = 0.1230.9900p < 0.0063Unclearε² = 0.005negligible
Price cut before saleChi-squareχ² = 2.2130.5307p < 0.0063UnclearCramér’s V = 0.297small
Seller paid closing costs or repairsChi-squareχ² = 1.6530.6492p < 0.0063UnclearCramér’s V = 0.257small
Has a viewChi-squareχ² = 1.6530.6492p < 0.0063UnclearCramér’s V = 0.257small

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 17.1530.0007p < 0.0063Yesε² = 0.715large
Net price per SFKruskal–WallisH = 8.7030.0335p < 0.0063Unclearε² = 0.363large
Year builtKruskal–WallisH = 8.8730.0311p < 0.0063Unclearε² = 0.369large
Days on marketKruskal–WallisH = 2.6030.4579p < 0.0063Unclearε² = 0.108medium
Discount from original listKruskal–WallisH = 1.8630.6011p < 0.0063Unclearε² = 0.078medium
Price cut before saleChi-squareχ² = 2.5630.4645p < 0.0063UnclearCramér’s V = 0.320medium
Seller paid closing costs or repairsChi-squareχ² = 2.4730.4804p < 0.0063UnclearCramér’s V = 0.314medium
Has a viewChi-squareχ² = 1.6530.6492p < 0.0063UnclearCramér’s V = 0.257small

8.3.3 Quartiles by year built

Too few sales in a group to test.

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 85.00—0.4791p < 0.0063Unclearrank-biserial r = 0.181small
Net price per SFMann–Whitney UU = 107.00—0.0508p < 0.0063Unclearrank-biserial r = 0.486medium
Living areaMann–Whitney UU = 73.00—0.9774p < 0.0063Unclearrank-biserial r = 0.014negligible
Year builtMann–Whitney UU = 48.00—0.1702p < 0.0063Unclearrank-biserial r = 0.333medium
Days on marketMann–Whitney UU = 33.50—0.0314p < 0.0063Unclearrank-biserial r = 0.535large
Discount from original listMann–Whitney UU = 69.00—0.8874p < 0.0063Unclearrank-biserial r = 0.042negligible
Price cut before saleChi-squareχ² = 0.2010.6560p < 0.0063UnclearCramér’s V = 0.089negligible
Seller paid closing costs or repairsChi-squareχ² = 1.1610.2818p < 0.0063UnclearCramér’s V = 0.215small

8.4 Data notes

Left out of the analysis: 6 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 25 closed MLS resale sales; the 6 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled November 1, 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.