ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Caliterra

Dripping Springs, TX 78620 · 78625
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 · 7:29 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
29
single-family resale homes
Median net sale price
$755,000
average $792,162
Median net price per SF
$243
average $250
Median days on market
52 days
average 80 days
1. SummaryResale homes · 29 sales · October 26, 2025 – October 25, 2026

This study looks at the 29 resale homes sold in Caliterra in the 365 days to October 25, 2026. A full year is used because only 15 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 sold29 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 $574K · 7 sales$574K–$750K · 7 sales$755K–$908K · 8 salesOver $908K · 7 sales
3. Quartiles by net sale priceResale homes · 29 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.

2026-10-26T07:29:58.448514 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 7 7 8 7 29 sales Sales per group Under $574K: 7 sales (24%) $574K–$750K: 7 sales (24%) $755K–$908K: 8 sales (28%) Over $908K: 7 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 $574K$574K–$750K$755K–$908KOver $908K
Higher-priced homes Over $908K
  • Are much larger.
Lower-priced homes Under $574K
  • 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 $574K$574K–$750K$755K–$908KOver $908KReal difference?
Net price per SF$254 per SF$248 per SF$230 per SF$270 per SFunclear
Living area2,008 SFSmallest2,628 SF3,700 SF4,311 SFLargest✓ large
Year built2021202120202021unclear
Days on market78 days66 days58 days26 daysunclear
Discount from original list5.1%4.8%7.2%2.5%unclear
Price cut before sale57%43%50%29%unclear
Seller paid closing costs or repairs43%57%50%71%unclear
Has a view71%71%38%100%unclear

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

3.3 Net price per SF: no clear difference

2026-10-26T07:29:58.476596 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $574K 7 sales $574K– $750K 7 sales $755K– $908K 8 sales Over $908K 7 sales $0 $100 $200 $300 $254 $248 $230 $270 Net price per SF, average

The average is $270 per SF for homes over $908K and $254 per SF for homes under $574K. It does not move in a straight line; homes over $908K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Homes over $908K are about 2,300 SF (115%) larger than homes under $574K

2026-10-26T07:29:58.498935 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $574K 7 sales $574K– $750K 7 sales $755K– $908K 8 sales Over $908K 7 sales 0 2,000 4,000 2,008 2,628 3,700 4,311 Living area (SF), average

The average is 4,311 SF for homes over $908K and 2,008 SF for homes under $574K. 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

2026-10-26T07:29:58.522232 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $574K 7 sales $574K– $750K 7 sales $755K– $908K 8 sales Over $908K 7 sales 2020 2021 2022 2023 2021 2021 2020 2021 Year built: median (dot) and middle half (bar)

The median is 2021 for homes over $908K and 2021 for homes under $574K. It does not move in a straight line; homes under $574K are highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-10-26T07:29:58.544787 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $574K 7 sales $574K– $750K 7 sales $755K– $908K 8 sales Over $908K 7 sales 0 25 50 75 78 66 58 26 Days on market, median

The median is 26 days for homes over $908K and 78 days for homes under $574K. It falls step by step from the lowest range to the highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-26T07:29:58.566820 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $574K 7 sales $574K– $750K 7 sales $755K– $908K 8 sales Over $908K 7 sales 0.0% 2.5% 5.0% 7.5% 5.1% 4.8% 7.2% 2.5% Discount from original list, average

The average is 2.5% for homes over $908K and 5.1% for homes under $574K. It does not move in a straight line; homes $755K–$908K 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

2026-10-26T07:29:58.596399 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 43 71 43 57 71 50 50 38 29 71 100 Under $574K $574K–$750K $755K–$908K Over $908K

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

  • 29% of homes over $908K had a price cut before sale, against 57% of homes under $574K. Defined in 8.1.7.
  • 71% of homes over $908K had the seller pay closing costs or repairs, against 43% of homes under $574K. Defined in 8.1.8.
  • 100% of homes over $908K have a view, against 71% of homes under $574K. 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 $574K7 sales$574K–$750K7 sales$755K–$908K8 salesOver $908K7 salesAll29 salesReal difference?
Net sale price average$507,939$649,244$835,688$1,169,560$792,162by design
Net price per SF average$254$248$230$270$250unclear
Living area average2,0082,6283,7004,3113,180✓ large
Year built median20212021202020212021unclear

3.10 The numbers: selling

Under $574K7 sales$574K–$750K7 sales$755K–$908K8 salesOver $908K7 salesAll29 salesReal difference?
Days on market median7866582652unclear
Discount from original list average5.1%4.8%7.2%2.5%5.0%unclear
Price cut before sale57%43%50%29%45%unclear
Seller paid closing costs or repairs43%57%50%71%55%unclear
Has a view71%71%38%100%69%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 · 29 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.

2026-10-26T07:29:58.616461 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 7 7 8 7 29 sales Sales per group Under 2,426 SF: 7 sales (24%) 2,426–2,840 SF: 7 sales (24%) 2,951–3,799 SF: 8 sales (28%) Over 3,799 SF: 7 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 2,426 SF2,426–2,840 SF2,951–3,799 SFOver 3,799 SF
Larger homes Over 3,799 SF
  • Sell for much more.
Smaller homes Under 2,426 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 2,426 SF2,426–2,840 SF2,951–3,799 SFOver 3,799 SFReal difference?
Net sale price$515KLowest$646K$866K$1.13MHighest✓ large
Net price per SF$261 per SF$245 per SF$248 per SF$245 per SFunclear
Year built2023202020202021unclear
Days on market40 days71 days50 days39 daysunclear
Discount from original list4.5%8.3%2.7%4.7%unclear
Price cut before sale43%71%25%43%unclear
Seller paid closing costs or repairs43%57%62%57%unclear
Has a view86%57%38%100%unclear

4.3 Homes over 3,799 SF sell for about $617K (120%) more than homes under 2,426 SF

2026-10-26T07:29:58.637329 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,426 SF 7 sales 2,426– 2,840 SF 7 sales 2,951– 3,799 SF 8 sales Over 3,799 SF 7 sales $0K $500K $1.00M $515K $646K $866K $1.13M Net sale price, average

The average is $1.13M for homes over 3,799 SF and $515K for homes under 2,426 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

2026-10-26T07:29:58.659095 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,426 SF 7 sales 2,426– 2,840 SF 7 sales 2,951– 3,799 SF 8 sales Over 3,799 SF 7 sales $0 $100 $200 $300 $261 $245 $248 $245 Net price per SF, average

The average is $245 per SF for homes over 3,799 SF and $261 per SF for homes under 2,426 SF. It does not move in a straight line; homes under 2,426 SF are highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-10-26T07:29:58.683294 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,426 SF 7 sales 2,426– 2,840 SF 7 sales 2,951– 3,799 SF 8 sales Over 3,799 SF 7 sales 2019 2020 2021 2022 2023 2023 2020 2020 2021 Year built: median (dot) and middle half (bar)

The median is 2021 for homes over 3,799 SF and 2023 for homes under 2,426 SF. It does not move in a straight line; homes under 2,426 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-10-26T07:29:58.706557 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,426 SF 7 sales 2,426– 2,840 SF 7 sales 2,951– 3,799 SF 8 sales Over 3,799 SF 7 sales 0 25 50 75 40 71 50 39 Days on market, median

The median is 39 days for homes over 3,799 SF and 40 days for homes under 2,426 SF. It does not move in a straight line; homes 2,426–2,840 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-26T07:29:58.729095 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,426 SF 7 sales 2,426– 2,840 SF 7 sales 2,951– 3,799 SF 8 sales Over 3,799 SF 7 sales 0.0% 2.5% 5.0% 7.5% 4.5% 8.3% 2.7% 4.7% Discount from original list, average

The average is 4.7% for homes over 3,799 SF and 4.5% for homes under 2,426 SF. It does not move in a straight line; homes 2,426–2,840 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

2026-10-26T07:29:58.755692 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% 43 43 86 71 57 57 25 62 38 43 57 100 Under 2,426 SF 2,426–2,840 SF 2,951–3,799 SF Over 3,799 SF

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

  • 43% of homes over 3,799 SF had a price cut before sale, against 43% of homes under 2,426 SF. Defined in 8.1.7.
  • 57% of homes over 3,799 SF had the seller pay closing costs or repairs, against 43% of homes under 2,426 SF. Defined in 8.1.8.
  • 100% of homes over 3,799 SF have a view, against 86% of homes under 2,426 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 2,426 SF7 sales2,426–2,840 SF7 sales2,951–3,799 SF8 salesOver 3,799 SF7 salesAll29 salesReal difference?
Net sale price average$514,557$645,609$866,093$1,131,829$792,162✓ large
Net price per SF average$261$245$248$245$250unclear
Living area average1,9712,6313,5034,5693,180by design
Year built median20232020202020212021unclear

4.10 The numbers: selling

Under 2,426 SF7 sales2,426–2,840 SF7 sales2,951–3,799 SF8 salesOver 3,799 SF7 salesAll29 salesReal difference?
Days on market median4071503952unclear
Discount from original list average4.5%8.3%2.7%4.7%5.0%unclear
Price cut before sale43%71%25%43%45%unclear
Seller paid closing costs or repairs43%57%62%57%55%unclear
Has a view86%57%38%100%69%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 · 29 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.

2026-10-26T07:29:58.775630 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 5 11 7 29 sales Sales per group Before 2020: 6 sales (21%) 2020: 5 sales (17%) 2021–2022: 11 sales (38%) After 2022: 7 sales (24%)
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$819K$691K$840K$767Kunclear
Net price per SF$244 per SF$232 per SF$245 per SF$275 per SFunclear
Living area3,369 SF3,053 SF3,454 SF2,680 SFunclear
Days on market54 days40 days39 days68 daysunclear
Discount from original list5.2%4.1%5.4%4.8%unclear
Price cut before sale50%60%27%57%unclear
Seller paid closing costs or repairs33%60%64%57%unclear
Has a view100%60%55%71%unclear

5.3 Net sale price: no clear difference

2026-10-26T07:29:58.796371 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2020 6 sales 2020 5 sales 2021– 2022 11 sales After 2022 7 sales $0K $500K $1.00M $819K $691K $840K $767K Net sale price, average

The average is $767K for homes built after 2022 and $819K for homes built before 2020. It does not move in a straight line; homes built 2021–2022 are highest. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-10-26T07:29:58.818376 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2020 6 sales 2020 5 sales 2021– 2022 11 sales After 2022 7 sales $0 $100 $200 $300 $244 $232 $245 $275 Net price per SF, average

The average is $275 per SF for homes built after 2022 and $244 per SF for homes built before 2020. 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

2026-10-26T07:29:58.839549 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2020 6 sales 2020 5 sales 2021– 2022 11 sales After 2022 7 sales 0 2,000 4,000 3,369 3,053 3,454 2,680 Living area (SF), average

The average is 2,680 SF for homes built after 2022 and 3,369 SF for homes built before 2020. It does not move in a straight line; homes built 2021–2022 are highest. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-10-26T07:29:58.861027 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2020 6 sales 2020 5 sales 2021– 2022 11 sales After 2022 7 sales 0 25 50 75 54 40 39 68 Days on market, median

The median is 68 days for homes built after 2022 and 54 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

2026-10-26T07:29:58.883432 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2020 6 sales 2020 5 sales 2021– 2022 11 sales After 2022 7 sales 0.0% 2.0% 4.0% 6.0% 5.2% 4.1% 5.4% 4.8% Discount from original list, average

The average is 4.8% for homes built after 2022 and 5.2% for homes built before 2020. It does not move in a straight line; homes built 2021–2022 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

2026-10-26T07:29:58.908844 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% 50 33 100 60 60 60 27 64 55 57 57 71 Before 2020 2020 2021–2022 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 50% of homes built before 2020. Defined in 8.1.7.
  • 57% of homes built after 2022 had the seller pay closing costs or repairs, against 33% of homes built before 2020. Defined in 8.1.8.
  • 71% of homes built after 2022 have a view, against 100% 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 20206 sales20205 sales2021–202211 salesAfter 20227 salesAll29 salesReal difference?
Net sale price average$818,747$691,400$839,500$766,961$792,162unclear
Net price per SF average$244$232$245$275$250unclear
Living area average3,3693,0533,4542,6803,180unclear
Year built median20192020202120232021by design

5.10 The numbers: selling

Before 20206 sales20205 sales2021–202211 salesAfter 20227 salesAll29 salesReal difference?
Days on market median5440396852unclear
Discount from original list average5.2%4.1%5.4%4.8%5.0%unclear
Price cut before sale50%60%27%57%45%unclear
Seller paid closing costs or repairs33%60%64%57%55%unclear
Has a view100%60%55%71%69%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 · 29 sales · October 26, 2025 – October 25, 2026

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

2026-10-26T07:29:58.926923 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 20 8 28 sales Sales per group View: 20 sales (71%) No view: 8 sales (29%)
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$813K$725Kunclear
Net price per SF$251 per SF$244 per SFunclear
Living area3,243 SF2,987 SFunclear
Year built20212022unclear
Days on market40 days70 daysunclear
Discount from original list4.6%6.2%unclear
Price cut before sale45%50%unclear
Seller paid closing costs or repairs50%62%unclear

6.3 Net sale price: no clear difference

2026-10-26T07:29:58.943433 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 20 sales No view 8 sales $0K $200K $400K $600K $800K $813K $725K Net sale price, average

The average is $813K for homes with a view and $725K 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

2026-10-26T07:29:58.961038 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 20 sales No view 8 sales $0 $100 $200 $300 $251 $244 Net price per SF, average

The average is $251 per SF for homes with a view and $244 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

2026-10-26T07:29:58.978951 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 20 sales No view 8 sales 0 1,000 2,000 3,000 3,243 2,987 Living area (SF), average

The average is 3,243 SF for homes with a view and 2,987 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-26T07:29:59.066588 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 20 sales No view 8 sales 2019 2020 2021 2022 2021 2022 Year built: median (dot) and middle half (bar)

The median is 2021 for homes with a view and 2022 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-26T07:29:59.085450 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 20 sales No view 8 sales 0 20 40 60 80 40 70 Days on market, median

The median is 40 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

2026-10-26T07:29:59.103654 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 20 sales No view 8 sales 0.0% 2.0% 4.0% 6.0% 4.6% 6.2% Discount from original list, average

The average is 4.6% for homes with a view and 6.2% 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

2026-10-26T07:29:59.121994 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 45 50 50 62 View No view

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

  • 45% of homes with a view had a price cut before sale, against 50% of homes without a view. Defined in 8.1.7.
  • 50% of homes with a view had the seller pay closing costs or repairs, against 62% 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

View20 salesNo view8 salesAll28 salesReal difference?
Net sale price average$813,165$725,238$788,043unclear
Net price per SF average$251$244$249unclear
Living area average3,2432,9873,170unclear
Year built median202120222021unclear

6.11 The numbers: selling

View20 salesNo view8 salesAll28 salesReal difference?
Days on market median407054unclear
Discount from original list average4.6%6.2%5.1%unclear
Price cut before sale45%50%46%unclear
Seller paid closing costs or repairs50%62%54%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 · 20 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: 20 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 Caliterra.
MeasureAverageMedian
Sales20
Net sale price$1,048,793$959,385
Net price per SF$272$264
Living area (SF)3,8403,766
Days on market10957
Discount from original list9.0%11.3%
Price cut before sale45% of sales
Seller paid closing costs or repairs35% 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
29 resale sales. Average $792,162; median $755,000; standard deviation $290,968; middle half (25th–75th percentile) $573,626–$907,500; lowest $438,700, highest $1,828,800. 16 sales had a seller payment; their median payment was $1,750.

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
29 resale sales. Average $250; median $243; standard deviation $32; middle half (25th–75th percentile) $230–$270; lowest $188, highest $348.

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
29 resale sales. Average 3,180; median 2,951; standard deviation 1,009; middle half (25th–75th percentile) 2,426–3,799; lowest 1,602, highest 5,262.

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
29 resale sales. Average 2021; median 2021; standard deviation 2; middle half (25th–75th percentile) 2020–2022; lowest 2015, highest 2024.

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
29 resale sales. Average 80; median 52; standard deviation 97; middle half (25th–75th percentile) 18–86; lowest 4, highest 448. 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
29 resale sales. Average 5.0%; median 3.8%; standard deviation 5.1%; middle half (25th–75th percentile) 1.8%–6.2%; lowest −2.0%, highest 22.6%. 2 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
13 of 29 resale sales (44.8%).

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 29 resale sales (55.2%).

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
20 sales with a view, 8 without, 1 unclassified. Most common View entries: Neighborhood 11, Hill Country 10, Park/Greenbelt 10, Trees/Woods 7, None 4, Panoramic 4, See Remarks 2, Creek/Stream 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 = Dripping Springs, SubdivisionName contains any of “caliterra” (case-insensitive). A record is kept when its subdivision name belongs to the Caliterra family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 49 closed Caliterra records over the prior year, in ZIP 78620, 78625. 12 subdivision spellings kept: Caliterra (11); Caliterra - 110' (6); Caliterra - 80' (6); Caliterra Ph Two Sec Eight (5); Caliterra Ph Two Sec Seven (5); Caliterra Ph Three Sec Nine (5); Caliterra Ph Four Sec 12 (4); Caliterra Ph Four Sec 11 (2); Caliterra Ph One Sec Two (2); Caliterra Ph One Sec One (1); Caliterra - 70' (1); CALITERRA (1). No other names were found by the search.

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 15 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
49 single-family sales in the window: 29 resale, 20 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
29 resale; 20 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 $574K”.
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 $574K: $438,700–$573,375 (7 sales); $574K–$750K: $573,626–$749,900 (7 sales); $755K–$908K: $755,000–$907,500 (8 sales); Over $908K: $943,000–$1,828,800 (7 sales)
Quartiles by living area: Under 2,426 SF: 1,602–2,242 SF (7 sales); 2,426–2,840 SF: 2,426–2,840 SF (7 sales); 2,951–3,799 SF: 2,951–3,799 SF (8 sales); Over 3,799 SF: 4,106–5,262 SF (7 sales)
Quartiles by year built: Before 2020: 2015–2019 (6 sales); 2020: 2020–2020 (5 sales); 2021–2022: 2021–2022 (11 sales); After 2022: 2023–2024 (7 sales)
View and no view: View: MLS lists a view (20 sales); No view: None or Neighborhood (8 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 $792,162, median $755,000. Days on market: average 80, median 52: 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 = 5.4430.1424p < 0.0063Unclearε² = 0.194large
Living areaKruskal–WallisH = 22.673< 0.0001p < 0.0063Yesε² = 0.810large
Year builtKruskal–WallisH = 2.1930.5338p < 0.0063Unclearε² = 0.078medium
Days on marketKruskal–WallisH = 4.1030.2507p < 0.0063Unclearε² = 0.146large
Discount from original listKruskal–WallisH = 1.4230.7011p < 0.0063Unclearε² = 0.051small
Price cut before saleChi-squareχ² = 1.2730.7351p < 0.0063UnclearCramér’s V = 0.210small
Seller paid closing costs or repairsChi-squareχ² = 1.2730.7351p < 0.0063UnclearCramér’s V = 0.210small
Has a viewChi-squareχ² = 6.8930.0755p < 0.0063UnclearCramér’s V = 0.487medium

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 23.403< 0.0001p < 0.0063Yesε² = 0.836large
Net price per SFKruskal–WallisH = 3.0130.3907p < 0.0063Unclearε² = 0.107medium
Year builtKruskal–WallisH = 4.2630.2348p < 0.0063Unclearε² = 0.152large
Days on marketKruskal–WallisH = 2.7530.4325p < 0.0063Unclearε² = 0.098medium
Discount from original listKruskal–WallisH = 2.8230.4200p < 0.0063Unclearε² = 0.101medium
Price cut before saleChi-squareχ² = 3.3030.3481p < 0.0063UnclearCramér’s V = 0.337medium
Seller paid closing costs or repairsChi-squareχ² = 0.6230.8907p < 0.0063UnclearCramér’s V = 0.147small
Has a viewChi-squareχ² = 8.2330.0416p < 0.0063UnclearCramér’s V = 0.533large

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 4.0230.2590p < 0.0063Unclearε² = 0.144large
Net price per SFKruskal–WallisH = 6.0630.1086p < 0.0063Unclearε² = 0.217large
Living areaKruskal–WallisH = 3.4930.3217p < 0.0063Unclearε² = 0.125medium
Days on marketKruskal–WallisH = 2.5130.4739p < 0.0063Unclearε² = 0.090medium
Discount from original listKruskal–WallisH = 0.2130.9760p < 0.0063Unclearε² = 0.007negligible
Price cut before saleChi-squareχ² = 2.3330.5068p < 0.0063UnclearCramér’s V = 0.283small
Seller paid closing costs or repairsChi-squareχ² = 1.5330.6745p < 0.0063UnclearCramér’s V = 0.230small
Has a viewChi-squareχ² = 3.9830.2640p < 0.0063UnclearCramér’s V = 0.370medium

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 88.00—0.7029p < 0.0063Unclearrank-biserial r = 0.100small
Net price per SFMann–Whitney UU = 92.00—0.5661p < 0.0063Unclearrank-biserial r = 0.150small
Living areaMann–Whitney UU = 84.00—0.8617p < 0.0063Unclearrank-biserial r = 0.050negligible
Year builtMann–Whitney UU = 55.00—0.2060p < 0.0063Unclearrank-biserial r = 0.312medium
Days on marketMann–Whitney UU = 48.00—0.1090p < 0.0063Unclearrank-biserial r = 0.400medium
Discount from original listMann–Whitney UU = 80.00—1.0000p < 0.0063Unclearrank-biserial r = 0.000negligible
Price cut before saleChi-squareχ² = 0.0610.8106p < 0.0063UnclearCramér’s V = 0.045negligible
Seller paid closing costs or repairsChi-squareχ² = 0.3610.5491p < 0.0063UnclearCramér’s V = 0.113small

8.4 Data notes

Left out of the analysis: 20 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 29 closed MLS resale sales; the 20 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.