ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Palmera Ridge

Leander, TX 78641
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 · 7:04 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
28
single-family resale homes
Median net sale price
$551,700
average $598,970
Median net price per SF
$206
average $212
Median days on market
68 days
average 94 days
1. SummaryResale homes · 28 sales · October 26, 2025 – October 25, 2026

This study looks at the 28 resale homes sold in Palmera Ridge in the 365 days to October 25, 2026. A full year is used because only 20 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 sold28 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 $486K · 7 sales$486K–$536K · 7 sales$568K–$680K · 7 salesOver $680K · 7 sales
3. Quartiles by net sale priceResale homes · 28 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.

2026-10-26T07:04:26.382969 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 7 7 7 7 28 sales Sales per group Under $486K: 7 sales (25%) $486K–$536K: 7 sales (25%) $568K–$680K: 7 sales (25%) Over $680K: 7 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 $486K$486K–$536K$568K–$680KOver $680K
Higher-priced homes Over $680K
  • Are much larger.
Lower-priced homes Under $486K
  • 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 $486K$486K–$536K$568K–$680KOver $680KReal difference?
Net price per SF$199 per SF$203 per SF$211 per SF$236 per SFunclear
Living area2,059 SFSmallest2,556 SF2,992 SF3,625 SFLargest✓ large
Year built2018202020202023unclear
Days on market46 days95 days70 days67 daysunclear
Discount from original list6.6%4.6%5.7%6.8%unclear
Price cut before sale57%71%57%57%unclear
Seller paid closing costs or repairs29%29%43%43%unclear
Has a view14%0%0%57%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

2026-10-26T07:04:26.411272 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $486K 7 sales $486K– $536K 7 sales $568K– $680K 7 sales Over $680K 7 sales $0 $100 $200 $199 $203 $211 $236 Net price per SF, average

The average is $236 per SF for homes over $680K and $199 per SF for homes under $486K. It rises step by step from the lowest range to the highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Homes over $680K are about 1,570 SF (76%) larger than homes under $486K

2026-10-26T07:04:26.433147 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $486K 7 sales $486K– $536K 7 sales $568K– $680K 7 sales Over $680K 7 sales 0 2,000 4,000 2,059 2,556 2,992 3,625 Living area (SF), average

The average is 3,625 SF for homes over $680K and 2,059 SF for homes under $486K. 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

2026-10-26T07:04:26.455492 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $486K 7 sales $486K– $536K 7 sales $568K– $680K 7 sales Over $680K 7 sales 2018 2020 2022 2018 2020 2020 2023 Year built: median (dot) and middle half (bar)

The median is 2023 for homes over $680K and 2018 for homes under $486K. 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

2026-10-26T07:04:26.477983 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $486K 7 sales $486K– $536K 7 sales $568K– $680K 7 sales Over $680K 7 sales 0 50 100 46 95 70 67 Days on market, median

The median is 67 days for homes over $680K and 46 days for homes under $486K. It does not move in a straight line; homes $486K–$536K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-26T07:04:26.499813 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $486K 7 sales $486K– $536K 7 sales $568K– $680K 7 sales Over $680K 7 sales 0.0% 2.5% 5.0% 7.5% 6.6% 4.6% 5.7% 6.8% Discount from original list, average

The average is 6.8% for homes over $680K and 6.6% for homes under $486K. It does not move in a straight line; homes over $680K 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

2026-10-26T07:04:26.529544 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% 57 29 14 71 29 0 57 43 0 57 43 57 Under $486K $486K–$536K $568K–$680K Over $680K

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

  • 57% of homes over $680K had a price cut before sale, against 57% of homes under $486K. Defined in 8.1.7.
  • 43% of homes over $680K had the seller pay closing costs or repairs, against 29% of homes under $486K. Defined in 8.1.8.
  • 57% of homes over $680K have a view, against 14% of homes under $486K. 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 $486K7 sales$486K–$536K7 sales$568K–$680K7 salesOver $680K7 salesAll28 salesReal difference?
Net sale price average$405,329$514,989$628,835$846,725$598,970by design
Net price per SF average$199$203$211$236$212unclear
Living area average2,0592,5562,9923,6252,808✓ large
Year built median20182020202020232020unclear

3.10 The numbers: selling

Under $486K7 sales$486K–$536K7 sales$568K–$680K7 salesOver $680K7 salesAll28 salesReal difference?
Days on market median4695706768unclear
Discount from original list average6.6%4.6%5.7%6.8%5.9%unclear
Price cut before sale57%71%57%57%61%unclear
Seller paid closing costs or repairs29%29%43%43%36%unclear
Has a view14%0%0%57%18%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 · 28 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.

2026-10-26T07:04:26.549851 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 7 7 7 7 28 sales Sales per group Under 2,307 SF: 7 sales (25%) 2,307–2,776 SF: 7 sales (25%) 2,822–2,995 SF: 7 sales (25%) Over 2,995 SF: 7 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 2,307 SF2,307–2,776 SF2,822–2,995 SFOver 2,995 SF
Larger homes Over 2,995 SF
  • Sell for much more.
Smaller homes Under 2,307 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 2,307 SF2,307–2,776 SF2,822–2,995 SFOver 2,995 SFReal difference?
Net sale price$412KLowest$529K$647K$807KHighest✓ large
Net price per SF$207 per SF$205 per SF$223 per SF$213 per SFunclear
Year built2019201920212023unclear
Days on market95 days67 days73 days49 daysunclear
Discount from original list5.9%5.8%5.9%6.0%unclear
Price cut before sale57%86%43%57%unclear
Seller paid closing costs or repairs14%29%71%29%unclear
Has a view14%14%29%14%unclear

4.3 Homes over 2,995 SF sell for about $395K (96%) more than homes under 2,307 SF

2026-10-26T07:04:26.570567 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,307 SF 7 sales 2,307– 2,776 SF 7 sales 2,822– 2,995 SF 7 sales Over 2,995 SF 7 sales $0K $250K $500K $750K $412K $529K $647K $807K Net sale price, average

The average is $807K for homes over 2,995 SF and $412K for homes under 2,307 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

2026-10-26T07:04:26.593478 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,307 SF 7 sales 2,307– 2,776 SF 7 sales 2,822– 2,995 SF 7 sales Over 2,995 SF 7 sales $0 $100 $200 $207 $205 $223 $213 Net price per SF, average

The average is $213 per SF for homes over 2,995 SF and $207 per SF for homes under 2,307 SF. It does not move in a straight line; homes 2,822–2,995 SF are highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-10-26T07:04:26.616639 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,307 SF 7 sales 2,307– 2,776 SF 7 sales 2,822– 2,995 SF 7 sales Over 2,995 SF 7 sales 2018 2020 2022 2024 2019 2019 2021 2023 Year built: median (dot) and middle half (bar)

The median is 2023 for homes over 2,995 SF and 2019 for homes under 2,307 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-10-26T07:04:26.639704 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,307 SF 7 sales 2,307– 2,776 SF 7 sales 2,822– 2,995 SF 7 sales Over 2,995 SF 7 sales 0 50 100 95 67 73 49 Days on market, median

The median is 49 days for homes over 2,995 SF and 95 days for homes under 2,307 SF. It does not move in a straight line; homes under 2,307 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-26T07:04:26.661299 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,307 SF 7 sales 2,307– 2,776 SF 7 sales 2,822– 2,995 SF 7 sales Over 2,995 SF 7 sales 0.0% 2.0% 4.0% 6.0% 5.9% 5.8% 5.9% 6.0% Discount from original list, average

The average is 6.0% for homes over 2,995 SF and 5.9% for homes under 2,307 SF. It does not move in a straight line; homes over 2,995 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

2026-10-26T07:04:26.687821 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% 57 14 14 86 29 14 43 71 29 57 29 14 Under 2,307 SF 2,307–2,776 SF 2,822–2,995 SF Over 2,995 SF

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

  • 57% of homes over 2,995 SF had a price cut before sale, against 57% of homes under 2,307 SF. Defined in 8.1.7.
  • 29% of homes over 2,995 SF had the seller pay closing costs or repairs, against 14% of homes under 2,307 SF. Defined in 8.1.8.
  • 14% of homes over 2,995 SF have a view, against 14% of homes under 2,307 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 2,307 SF7 sales2,307–2,776 SF7 sales2,822–2,995 SF7 salesOver 2,995 SF7 salesAll28 salesReal difference?
Net sale price average$412,471$529,146$646,844$807,417$598,970✓ large
Net price per SF average$207$205$223$213$212unclear
Living area average1,9942,5882,8953,7562,808by design
Year built median20192019202120232020unclear

4.10 The numbers: selling

Under 2,307 SF7 sales2,307–2,776 SF7 sales2,822–2,995 SF7 salesOver 2,995 SF7 salesAll28 salesReal difference?
Days on market median9567734968unclear
Discount from original list average5.9%5.8%5.9%6.0%5.9%unclear
Price cut before sale57%86%43%57%61%unclear
Seller paid closing costs or repairs14%29%71%29%36%unclear
Has a view14%14%29%14%18%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 · 28 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.

2026-10-26T07:04:26.708203 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 8 5 8 7 28 sales Sales per group Before 2018: 8 sales (29%) 2018–2019: 5 sales (18%) 2020–2022: 8 sales (29%) After 2022: 7 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 20182018–20192020–2022After 2022Real difference?
Net sale price$586K$454K$543K$781Kunclear
Net price per SF$203 per SF$200 per SF$210 per SF$233 per SFunclear
Living area2,903 SF2,293 SF2,575 SF3,334 SFunclear
Days on market74 days230 days46 days49 daysunclear
Discount from original list4.1%7.5%5.3%7.5%unclear
Price cut before sale62%60%62%57%unclear
Seller paid closing costs or repairs50%20%25%43%unclear
Has a view12%0%25%29%unclear

5.3 Net sale price: no clear difference

2026-10-26T07:04:26.729095 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2018 8 sales 2018– 2019 5 sales 2020– 2022 8 sales After 2022 7 sales $0K $250K $500K $750K $586K $454K $543K $781K Net sale price, average

The average is $781K for homes built after 2022 and $586K for homes built before 2018. It does not move in a straight line; homes built after 2022 are highest. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-10-26T07:04:26.752486 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2018 8 sales 2018– 2019 5 sales 2020– 2022 8 sales After 2022 7 sales $0 $100 $200 $203 $200 $210 $233 Net price per SF, average

The average is $233 per SF for homes built after 2022 and $203 per SF for homes built before 2018. It does not move in a straight line; homes built after 2022 are highest. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-10-26T07:04:26.773956 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2018 8 sales 2018– 2019 5 sales 2020– 2022 8 sales After 2022 7 sales 0 2,000 4,000 2,903 2,293 2,575 3,334 Living area (SF), average

The average is 3,334 SF for homes built after 2022 and 2,903 SF for homes built before 2018. 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

2026-10-26T07:04:26.795662 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2018 8 sales 2018– 2019 5 sales 2020– 2022 8 sales After 2022 7 sales 0 100 200 74 230 46 49 Days on market, median

The median is 49 days for homes built after 2022 and 74 days for homes built before 2018. It does not move in a straight line; homes built 2018–2019 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-10-26T07:04:26.818465 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2018 8 sales 2018– 2019 5 sales 2020– 2022 8 sales After 2022 7 sales 0.0% 2.5% 5.0% 7.5% 4.1% 7.5% 5.3% 7.5% Discount from original list, average

The average is 7.5% for homes built after 2022 and 4.1% for homes built before 2018. 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

2026-10-26T07:04:26.844700 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% 62 50 12 60 20 0 62 25 25 57 43 29 Before 2018 2018–2019 2020–2022 After 2022

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

  • 57% of homes built after 2022 had a price cut before sale, against 62% of homes built before 2018. Defined in 8.1.7.
  • 43% of homes built after 2022 had the seller pay closing costs or repairs, against 50% of homes built before 2018. Defined in 8.1.8.
  • 29% of homes built after 2022 have a view, against 12% of homes built before 2018. 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 20188 sales2018–20195 sales2020–20228 salesAfter 20227 salesAll28 salesReal difference?
Net sale price average$585,643$454,500$543,382$780,920$598,970unclear
Net price per SF average$203$200$210$233$212unclear
Living area average2,9032,2932,5753,3342,808unclear
Year built median20172018202120232020by design

5.10 The numbers: selling

Before 20188 sales2018–20195 sales2020–20228 salesAfter 20227 salesAll28 salesReal difference?
Days on market median74230464968unclear
Discount from original list average4.1%7.5%5.3%7.5%5.9%unclear
Price cut before sale62%60%62%57%61%unclear
Seller paid closing costs or repairs50%20%25%43%36%unclear
Has a view12%0%25%29%18%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 · 28 sales · October 26, 2025 – October 25, 2026

Sales where the MLS lists a view (greenbelt or park, trees, golf course, hill country, water and similar) against those listing none or only the neighborhood.

2026-10-26T07:04:26.863942 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 23 28 sales Sales per group View: 5 sales (18%) No view: 23 sales (82%)
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$673K$583Kunclear
Net price per SF$236 per SF$207 per SFunclear
Living area2,811 SF2,807 SFunclear
Year built20222019unclear
Days on market67 days70 daysunclear
Discount from original list8.3%5.4%unclear
Price cut before sale60%61%unclear
Seller paid closing costs or repairs60%30%unclear

6.3 Net sale price: no clear difference

2026-10-26T07:04:26.880902 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 23 sales $0K $200K $400K $600K $800K $673K $583K Net sale price, average

The average is $673K for homes with a view and $583K 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

2026-10-26T07:04:26.899349 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 23 sales $0 $100 $200 $236 $207 Net price per SF, average

The average is $236 per SF for homes with a view and $207 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

2026-10-26T07:04:26.942950 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 23 sales 0 1,000 2,000 3,000 2,811 2,807 Living area (SF), average

The average is 2,811 SF for homes with a view and 2,807 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-26T07:04:26.961168 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 23 sales 2018 2020 2022 2022 2019 Year built: median (dot) and middle half (bar)

The median is 2022 for homes with a view and 2019 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-26T07:04:26.979284 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 23 sales 0 20 40 60 80 67 70 Days on market, median

The median is 67 days for homes with a view and 70 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

2026-10-26T07:04:26.999007 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 23 sales 0.0% 2.0% 4.0% 6.0% 8.0% 8.3% 5.4% Discount from original list, average

The average is 8.3% for homes with a view and 5.4% 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

2026-10-26T07:04:27.018026 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 60 60 61 30 View No view

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

  • 60% of homes with a view had a price cut before sale, against 61% of homes without a view. Defined in 8.1.7.
  • 60% of homes with a view had the seller pay closing costs or repairs, against 30% 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

View5 salesNo view23 salesAll28 salesReal difference?
Net sale price average$672,536$582,977$598,970unclear
Net price per SF average$236$207$212unclear
Living area average2,8112,8072,808unclear
Year built median202220192020unclear

6.11 The numbers: selling

View5 salesNo view23 salesAll28 salesReal difference?
Days on market median677068unclear
Discount from original list average8.3%5.4%5.9%unclear
Price cut before sale60%61%61%unclear
Seller paid closing costs or repairs60%30%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 8.3.4.

7. New constructionBasic statistics · 43 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: 43 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 Palmera Ridge.
MeasureAverageMedian
Sales43
Net sale price$841,305$820,000
Net price per SF$229$222
Living area (SF)3,6753,622
Days on market251253
Discount from original list20.2%20.7%
Price cut before sale88% of sales
Seller paid closing costs or repairs58% of sales
Year built2021–2026

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
28 resale sales. Average $598,970; median $551,700; standard deviation $202,911; middle half (25th–75th percentile) $485,875–$680,875; lowest $360,000, highest $1,359,398. 10 sales had a seller payment; their median payment was $2,500.

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
28 resale sales. Average $212; median $206; standard deviation $24; middle half (25th–75th percentile) $194–$229; lowest $176, highest $264.

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
28 resale sales. Average 2,808; median 2,799; standard deviation 802; middle half (25th–75th percentile) 2,302–2,995; lowest 1,636, highest 5,573.

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
28 resale sales. Average 2020; median 2020; standard deviation 3; middle half (25th–75th percentile) 2017–2022; lowest 2016, highest 2026.

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
28 resale sales. Average 94; median 68; standard deviation 90; middle half (25th–75th percentile) 37–129; lowest 0, highest 310. 1 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
28 resale sales. Average 5.9%; median 4.8%; standard deviation 4.5%; middle half (25th–75th percentile) 2.7%–8.5%; lowest −0.3%, highest 20.1%. 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
17 of 28 resale sales (60.7%).

8.1.8 Seller paid closing costs or repairs

In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
10 of 28 resale sales (35.7%).

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
5 sales with a view, 23 without, 0 unclassified. Most common View entries: None 17, Neighborhood 6, Park/Greenbelt 4, Trees/Woods 3, Panoramic 2, Skyline 1, Pool 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
Bridge Interactive RESO Web API (OData), ABOR dataset, every field returned. Filter: StandardStatus = Closed, PropertyType = Residential, City = Leander, SubdivisionName contains any of “palmera ridge”, “palmera bluff”, “palmera rdg” (case-insensitive). A record is kept when its subdivision name belongs to the Palmera Ridge family, the same rule comparable sales use (it includes Palmera Bluff, proven adjacent and priced alike).
The data
Pulled October 26, 2026: 71 closed Palmera Ridge records over the prior year, in ZIP 78641. 11 subdivision spellings kept: Palmera Ridge (59); Palmera Rdg Sec 3 (2); Palmera Bluff (2); Palmera Ridge 80s (1); Palmera Ridge 70s (1); Palmera Ridge 60s (1); Palmera Rdg Sec 4 (1); Palmera bluff (1); Palmera Rdg Sec 3 Add (1); Palmera Rdg Sec 6 (1); Palmera Bluff Sec 6 (1). Names found by the search but not part of Palmera Ridge, left out: Palmera Ridge: Palmera Bluff (1); Palmera Bluff Secs 3 & 5 (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 20 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
71 single-family sales in the window: 28 resale, 43 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
28 resale; 43 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 $486K”.
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 $486K: $360,000–$484,000 (7 sales); $486K–$536K: $486,500–$535,900 (7 sales); $568K–$680K: $567,500–$679,500 (7 sales); Over $680K: $685,000–$1,359,398 (7 sales)
Quartiles by living area: Under 2,307 SF: 1,636–2,289 SF (7 sales); 2,307–2,776 SF: 2,307–2,776 SF (7 sales); 2,822–2,995 SF: 2,822–2,995 SF (7 sales); Over 2,995 SF: 2,996–5,573 SF (7 sales)
Quartiles by year built: Before 2018: 2016–2017 (8 sales); 2018–2019: 2018–2019 (5 sales); 2020–2022: 2020–2022 (8 sales); After 2022: 2023–2026 (7 sales)
View and no view: View: MLS lists a view (5 sales); No view: None or Neighborhood (23 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 $598,970, median $551,700. Days on market: average 94, median 68: 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 = 8.3530.0394p < 0.0063Unclearε² = 0.309large
Living areaKruskal–WallisH = 20.2730.0001p < 0.0063Yesε² = 0.751large
Year builtKruskal–WallisH = 3.4330.3293p < 0.0063Unclearε² = 0.127medium
Days on marketKruskal–WallisH = 0.1830.9813p < 0.0063Unclearε² = 0.007negligible
Discount from original listKruskal–WallisH = 0.9030.8261p < 0.0063Unclearε² = 0.033small
Price cut before saleChi-squareχ² = 0.4530.9299p < 0.0063UnclearCramér’s V = 0.127small
Seller paid closing costs or repairsChi-squareχ² = 0.6230.8913p < 0.0063UnclearCramér’s V = 0.149small
Has a viewChi-squareχ² = 10.4730.0150p < 0.0063UnclearCramér’s V = 0.611large

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 19.8030.0002p < 0.0063Yesε² = 0.733large
Net price per SFKruskal–WallisH = 2.3930.4951p < 0.0063Unclearε² = 0.089medium
Year builtKruskal–WallisH = 2.7230.4363p < 0.0063Unclearε² = 0.101medium
Days on marketKruskal–WallisH = 0.3230.9566p < 0.0063Unclearε² = 0.012small
Discount from original listKruskal–WallisH = 0.4830.9225p < 0.0063Unclearε² = 0.018small
Price cut before saleChi-squareχ² = 2.8430.4162p < 0.0063UnclearCramér’s V = 0.319medium
Seller paid closing costs or repairsChi-squareχ² = 5.6030.1328p < 0.0063UnclearCramér’s V = 0.447medium
Has a viewChi-squareχ² = 0.7330.8660p < 0.0063UnclearCramér’s V = 0.162small

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 8.8830.0309p < 0.0063Unclearε² = 0.329large
Net price per SFKruskal–WallisH = 7.7930.0506p < 0.0063Unclearε² = 0.288large
Living areaKruskal–WallisH = 5.8030.1219p < 0.0063Unclearε² = 0.215large
Days on marketKruskal–WallisH = 4.8230.1853p < 0.0063Unclearε² = 0.179large
Discount from original listKruskal–WallisH = 2.7630.4302p < 0.0063Unclearε² = 0.102medium
Price cut before saleChi-squareχ² = 0.0630.9962p < 0.0063UnclearCramér’s V = 0.046negligible
Seller paid closing costs or repairsChi-squareχ² = 1.8030.6140p < 0.0063UnclearCramér’s V = 0.254small
Has a viewChi-squareχ² = 2.0730.5581p < 0.0063UnclearCramér’s V = 0.272small

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 84.50—0.1119p < 0.0063Unclearrank-biserial r = 0.470medium
Net price per SFMann–Whitney UU = 92.00—0.0385p < 0.0063Unclearrank-biserial r = 0.600large
Living areaMann–Whitney UU = 64.00—0.7272p < 0.0063Unclearrank-biserial r = 0.113small
Year builtMann–Whitney UU = 80.00—0.1829p < 0.0063Unclearrank-biserial r = 0.391medium
Days on marketMann–Whitney UU = 57.50—1.0000p < 0.0063Unclearrank-biserial r = 0.000negligible
Discount from original listMann–Whitney UU = 72.00—0.4128p < 0.0063Unclearrank-biserial r = 0.252small
Price cut before saleChi-squareχ² = 0.0010.9712p < 0.0063UnclearCramér’s V = 0.007negligible
Seller paid closing costs or repairsChi-squareχ² = 1.5610.2111p < 0.0063UnclearCramér’s V = 0.236small

8.4 Data notes

Left out of the analysis: 43 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 28 closed MLS resale sales; the 43 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.