ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Arrowhead Ranch

Dripping Springs, TX 78620
Resale homes · closed Nov 5 – Nov 4, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
November 5, 2026 · 2:36 PM 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
20
single-family resale homes
Median net sale price
$637,000
average $624,546
Median net price per SF
$224
average $222
Median days on market
50 days
average 82 days
1. SummaryResale homes · 20 sales · November 5, 2025 – November 4, 2026

This study looks at the 20 resale homes sold in Arrowhead Ranch in the 365 days to November 4, 2026. A full year is used because only 8 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 sold20 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 $571K · 4 sales$571K–$630K · 6 sales$644K–$660K · 5 salesOver $660K · 5 sales
3. Quartiles by net sale priceResale homes · 20 sales · November 5, 2025 – November 4, 2026

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

2026-11-05T14:36:27.529657 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 6 5 5 20 sales Sales per group Under $571K: 4 sales (20%) $571K–$630K: 6 sales (30%) $644K–$660K: 5 sales (25%) Over $660K: 5 sales (25%)
Bottom line: too few sales to test.

3.1 Key differences

The top group against the bottom group: no measure differs enough to rule out chance.

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: described, not tested

2026-11-05T14:36:27.558511 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $571K 4 sales $571K– $630K 6 sales $644K– $660K 5 sales Over $660K 5 sales $0 $100 $200 $237 $214 $204 $238 Net price per SF, average

The average is $238 per SF for homes over $660K and $237 per SF for homes under $571K. It does not move in a straight line; homes over $660K are highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-11-05T14:36:27.581287 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $571K 4 sales $571K– $630K 6 sales $644K– $660K 5 sales Over $660K 5 sales 0 1,000 2,000 3,000 2,176 2,794 3,246 3,029 Living area (SF), average

The average is 3,029 SF for homes over $660K and 2,176 SF for homes under $571K. It does not move in a straight line; homes $644K–$660K are highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-11-05T14:36:27.604803 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $571K 4 sales $571K– $630K 6 sales $644K– $660K 5 sales Over $660K 5 sales 2018 2020 2022 2020 2020 2018 2022 Year built: median (dot) and middle half (bar)

The median is 2022 for homes over $660K and 2020 for homes under $571K. It does not move in a straight line; homes over $660K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-11-05T14:36:27.626734 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $571K 4 sales $571K– $630K 6 sales $644K– $660K 5 sales Over $660K 5 sales 0 50 100 68 57 25 103 Days on market, median

The median is 103 days for homes over $660K and 68 days for homes under $571K. It does not move in a straight line; homes over $660K are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-11-05T14:36:27.649822 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $571K 4 sales $571K– $630K 6 sales $644K– $660K 5 sales Over $660K 5 sales 0.0% 5.0% 10.0% 8.9% 4.3% 4.4% 5.9% Discount from original list, average

The average is 5.9% for homes over $660K and 8.9% for homes under $571K. It does not move in a straight line; homes under $571K are highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-11-05T14:36:27.679516 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% 75 75 50 50 67 50 40 20 80 60 60 80 Under $571K $571K–$630K $644K–$660K Over $660K

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

  • 60% of homes over $660K had a price cut before sale, against 75% of homes under $571K. Defined in 8.1.7.
  • 60% of homes over $660K had the seller pay closing costs or repairs, against 75% of homes under $571K. Defined in 8.1.8.
  • 80% of homes over $660K have a view, against 50% of homes under $571K. 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.

3.9 The numbers: price and size

Under $571K4 sales$571K–$630K6 sales$644K–$660K5 salesOver $660K5 salesAll20 sales
Net sale price average$514,000$596,792$652,400$718,436$624,546
Net price per SF average$237$214$204$238$222
Living area average2,1762,7943,2463,0292,842
Year built median20202020201820222020

3.10 The numbers: selling

Under $571K4 sales$571K–$630K6 sales$644K–$660K5 salesOver $660K5 salesAll20 sales
Days on market median68572510350
Discount from original list average8.9%4.3%4.4%5.9%5.7%
Price cut before sale75%50%40%60%55%
Seller paid closing costs or repairs75%67%20%60%55%
Has a view50%50%80%80%65%

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 · 20 sales · November 5, 2025 – November 4, 2026

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

2026-11-05T14:36:27.699569 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 5 5 20 sales Sales per group Under 2,735 SF: 5 sales (25%) 2,735–2,788 SF: 5 sales (25%) 2,789–3,131 SF: 5 sales (25%) Over 3,131 SF: 5 sales (25%)
Bottom line: no measure differs enough between the groups to rule out chance.

4.1 Key differences

The top group against the bottom group: no measure differs enough to rule out chance.

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 2,735 SF2,735–2,788 SF2,789–3,131 SFOver 3,131 SFReal difference?
Net sale price$525K$637K$643K$692Kunclear
Net price per SF$234 per SF$231 per SF$223 per SF$201 per SFunclear
Year built2020202220202017unclear
Days on market56 days58 days31 days19 daysunclear
Discount from original list7.8%4.2%5.3%5.4%unclear
Price cut before sale80%60%40%40%unclear
Seller paid closing costs or repairs60%60%60%40%unclear
Has a view60%60%60%80%unclear

4.3 Net sale price: no clear difference

2026-11-05T14:36:27.720070 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,735 SF 5 sales 2,735– 2,788 SF 5 sales 2,789– 3,131 SF 5 sales Over 3,131 SF 5 sales $0K $250K $500K $750K $525K $637K $643K $692K Net sale price, average

The average is $692K for homes over 3,131 SF and $525K for homes under 2,735 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

– No clear difference · could be chance

4.4 Net price per SF: no clear difference

2026-11-05T14:36:27.743187 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,735 SF 5 sales 2,735– 2,788 SF 5 sales 2,789– 3,131 SF 5 sales Over 3,131 SF 5 sales $0 $100 $200 $234 $231 $223 $201 Net price per SF, average

The average is $201 per SF for homes over 3,131 SF and $234 per SF for homes under 2,735 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-11-05T14:36:27.766361 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,735 SF 5 sales 2,735– 2,788 SF 5 sales 2,789– 3,131 SF 5 sales Over 3,131 SF 5 sales 2016 2018 2020 2022 2020 2022 2020 2017 Year built: median (dot) and middle half (bar)

The median is 2017 for homes over 3,131 SF and 2020 for homes under 2,735 SF. It does not move in a straight line; homes 2,735–2,788 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-11-05T14:36:27.789083 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,735 SF 5 sales 2,735– 2,788 SF 5 sales 2,789– 3,131 SF 5 sales Over 3,131 SF 5 sales 0 20 40 60 56 58 31 19 Days on market, median

The median is 19 days for homes over 3,131 SF and 56 days for homes under 2,735 SF. It does not move in a straight line; homes 2,735–2,788 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-11-05T14:36:27.811362 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,735 SF 5 sales 2,735– 2,788 SF 5 sales 2,789– 3,131 SF 5 sales Over 3,131 SF 5 sales 0.0% 2.5% 5.0% 7.5% 7.8% 4.2% 5.3% 5.4% Discount from original list, average

The average is 5.4% for homes over 3,131 SF and 7.8% for homes under 2,735 SF. It does not move in a straight line; homes under 2,735 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

2026-11-05T14:36:27.836937 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% 80 60 60 60 60 60 40 60 60 40 40 80 Under 2,735 SF 2,735–2,788 SF 2,789–3,131 SF Over 3,131 SF

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

  • 40% of homes over 3,131 SF had a price cut before sale, against 80% of homes under 2,735 SF. Defined in 8.1.7.
  • 40% of homes over 3,131 SF had the seller pay closing costs or repairs, against 60% of homes under 2,735 SF. Defined in 8.1.8.
  • 80% of homes over 3,131 SF have a view, against 60% of homes under 2,735 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 2,735 SF5 sales2,735–2,788 SF5 sales2,789–3,131 SF5 salesOver 3,131 SF5 salesAll20 salesReal difference?
Net sale price average$525,400$637,450$642,936$692,400$624,546unclear
Net price per SF average$234$231$223$201$222unclear
Living area average2,2532,7552,8953,4652,842by design
Year built median20202022202020172020unclear

4.10 The numbers: selling

Under 2,735 SF5 sales2,735–2,788 SF5 sales2,789–3,131 SF5 salesOver 3,131 SF5 salesAll20 salesReal difference?
Days on market median5658311950unclear
Discount from original list average7.8%4.2%5.3%5.4%5.7%unclear
Price cut before sale80%60%40%40%55%unclear
Seller paid closing costs or repairs60%60%60%40%55%unclear
Has a view60%60%60%80%65%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. Groups by year builtResale homes · 20 sales · November 5, 2025 – November 4, 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. Only 3 groups are shown: homes here share a few year built values, and no group may hold fewer than 3 sales.

2026-11-05T14:36:27.856478 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 8 7 20 sales Sales per group Before 2018: 5 sales (25%) 2018–2021: 8 sales (40%) After 2021: 7 sales (35%)
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 20182018–2021After 2021Real difference?
Net sale price$637K$571K$677Kunclear
Net price per SF$193 per SF$228 per SF$236 per SFunclear
Living area3,327 SF2,522 SF2,862 SFunclear
Days on market31 days50 days58 daysunclear
Discount from original list6.2%6.2%4.7%unclear
Price cut before sale40%62%57%unclear
Seller paid closing costs or repairs80%38%57%unclear
Has a view60%62%71%unclear

5.3 Net sale price: no clear difference

2026-11-05T14:36:27.875148 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2018 5 sales 2018– 2021 8 sales After 2021 7 sales $0K $250K $500K $750K $637K $571K $677K Net sale price, average

The average is $677K for homes built after 2021 and $637K for homes built before 2018. It does not move in a straight line; homes built after 2021 are highest. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-11-05T14:36:27.895808 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2018 5 sales 2018– 2021 8 sales After 2021 7 sales $0 $100 $200 $193 $228 $236 Net price per SF, average

The average is $236 per SF for homes built after 2021 and $193 per SF for homes built before 2018. It rises step by step from the lowest range to the highest. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-11-05T14:36:27.916123 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2018 5 sales 2018– 2021 8 sales After 2021 7 sales 0 1,000 2,000 3,000 3,327 2,522 2,862 Living area (SF), average

The average is 2,862 SF for homes built after 2021 and 3,327 SF for homes built before 2018. It does not move in a straight line; homes built before 2018 are highest. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-11-05T14:36:27.935693 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2018 5 sales 2018– 2021 8 sales After 2021 7 sales 0 20 40 60 31 50 58 Days on market, median

The median is 58 days for homes built after 2021 and 31 days for homes built before 2018. It rises step by step from the lowest range to the highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-11-05T14:36:27.955735 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2018 5 sales 2018– 2021 8 sales After 2021 7 sales 0.0% 2.0% 4.0% 6.0% 6.2% 6.2% 4.7% Discount from original list, average

The average is 4.7% for homes built after 2021 and 6.2% for homes built before 2018. It does not move in a straight line; homes built 2018–2021 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

2026-11-05T14:36:27.979393 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% 40 80 60 62 38 62 57 57 71 Before 2018 2018–2021 After 2021

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

  • 57% of homes built after 2021 had a price cut before sale, against 40% of homes built before 2018. Defined in 8.1.7.
  • 57% of homes built after 2021 had the seller pay closing costs or repairs, against 80% of homes built before 2018. Defined in 8.1.8.
  • 71% of homes built after 2021 have a view, against 60% 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 20185 sales2018–20218 salesAfter 20217 salesAll20 salesReal difference?
Net sale price average$636,550$570,875$677,311$624,546unclear
Net price per SF average$193$228$236$222unclear
Living area average3,3272,5222,8622,842unclear
Year built median2017202020222020by design

5.10 The numbers: selling

Before 20185 sales2018–20218 salesAfter 20217 salesAll20 salesReal difference?
Days on market median31505850unclear
Discount from original list average6.2%6.2%4.7%5.7%unclear
Price cut before sale40%62%57%55%unclear
Seller paid closing costs or repairs80%38%57%55%unclear
Has a view60%62%71%65%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 · 20 sales · November 5, 2025 – November 4, 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.

2026-11-05T14:36:27.995780 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 13 6 19 sales Sales per group View: 13 sales (68%) No view: 6 sales (32%)
Bottom line: no measure differs enough between the groups to rule out chance.

6.1 Key differences

The top group against the bottom group: no measure differs enough to rule out chance.

6.2 At a glance

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

ViewNo viewReal difference?
Net sale price$644K$575Kunclear
Net price per SF$224 per SF$214 per SFunclear
Living area2,891 SF2,753 SFunclear
Year built20202020unclear
Days on market31 days139 daysunclear
Discount from original list4.3%8.4%unclear
Price cut before sale46%67%unclear
Seller paid closing costs or repairs54%67%unclear

6.3 Net sale price: no clear difference

2026-11-05T14:36:28.011505 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 6 sales $0K $200K $400K $600K $644K $575K Net sale price, average

The average is $644K for homes with a view and $575K 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

2026-11-05T14:36:28.030073 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 6 sales $0 $100 $200 $224 $214 Net price per SF, average

The average is $224 per SF for homes with a view and $214 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

2026-11-05T14:36:28.047086 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 6 sales 0 1,000 2,000 3,000 2,891 2,753 Living area (SF), average

The average is 2,891 SF for homes with a view and 2,753 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-11-05T14:36:28.064663 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 6 sales 2018 2020 2022 2020 2020 Year built: median (dot) and middle half (bar)

The median is 2020 for homes with a view and 2020 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-11-05T14:36:28.107887 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 6 sales 0 50 100 150 31 139 Days on market, median

The median is 31 days for homes with a view and 139 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

2026-11-05T14:36:28.126790 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 6 sales 0.0% 2.5% 5.0% 7.5% 10.0% 4.3% 8.4% Discount from original list, average

The average is 4.3% for homes with a view and 8.4% 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

2026-11-05T14:36:28.146166 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 46 54 67 67 View No view

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

  • 46% of homes with a view had a price cut before sale, against 67% of homes without a view. Defined in 8.1.7.
  • 54% of homes with a view had the seller pay closing costs or repairs, against 67% 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

View13 salesNo view6 salesAll19 salesReal difference?
Net sale price average$644,164$575,300$622,417unclear
Net price per SF average$224$214$221unclear
Living area average2,8912,7532,848unclear
Year built median202020202020unclear

6.11 The numbers: selling

View13 salesNo view6 salesAll19 salesReal difference?
Days on market median3113945unclear
Discount from original list average4.3%8.4%5.6%unclear
Price cut before sale46%67%53%unclear
Seller paid closing costs or repairs54%67%58%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 · 0 sales · November 5, 2025 – November 4, 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: 0 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 Arrowhead Ranch.

No new-construction sales were reported in ABOR MLS in this window.

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
20 resale sales. Average $624,546; median $637,000; standard deviation $82,163; middle half (25th–75th percentile) $571,000–$661,250; lowest $473,700, highest $830,000. 11 sales had a seller payment; their median payment was $2,200.

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
20 resale sales. Average $222; median $224; standard deviation $24; middle half (25th–75th percentile) $206–$239; lowest $175, highest $256.

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
20 resale sales. Average 2,842; median 2,788; standard deviation 473; middle half (25th–75th percentile) 2,691–3,167; lowest 1,866, highest 3,689.

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
20 resale sales. Average 2020; median 2020; standard deviation 2; middle half (25th–75th percentile) 2018–2022; 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
20 resale sales. Average 82; median 50; standard deviation 73; middle half (25th–75th percentile) 28–124; lowest 0, highest 248. 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
20 resale sales. Average 5.7%; median 4.2%; standard deviation 4.6%; middle half (25th–75th percentile) 2.5%–8.7%; lowest 0.0%, highest 15.4%. 0 sales closed above their first asking price.

8.1.7 Price cut before sale

In simple terms
The asking price was lowered at least once before the home went under contract.
Statistically
Indicator: ListPrice at close < OriginalListPrice. Reported as the share of sales (%).
The data
11 of 20 resale sales (55.0%).

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
11 of 20 resale sales (55.0%).

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
13 sales with a view, 6 without, 1 unclassified. Most common View entries: Neighborhood 9, Park/Greenbelt 9, Trees/Woods 7, None 4, Pool 2, See Remarks 2, Hill Country 2, Water 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 2026-11-05 20:30 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Dripping Springs, SubdivisionName contains any of “arrowhead ranch” (case-insensitive). A record is kept when its subdivision name belongs to the Arrowhead Ranch family, the same rule comparable sales use.
The data
Pulled November 5, 2026: 20 closed Arrowhead Ranch records over the prior year, in ZIP 78620. 5 subdivision spellings kept: Arrowhead Ranch (7); Arrowhead Ranch Ph 1 (6); Arrowhead Ranch Ph 4 (5); Arrowhead Ranch 50's (1); Arrowhead Ranch Ph 3 (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 8 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from November 5, 2025 to November 4, 2026 inclusive.
The data
20 single-family sales in the window: 20 resale, 0 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
20 resale; 0 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 $571K”.
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 $571K: $473,700–$570,000 (4 sales); $571K–$630K: $571,000–$630,000 (6 sales); $644K–$660K: $644,000–$660,000 (5 sales); Over $660K: $665,000–$830,000 (5 sales)
Quartiles by living area: Under 2,735 SF: 1,866–2,560 SF (5 sales); 2,735–2,788 SF: 2,735–2,788 SF (5 sales); 2,789–3,131 SF: 2,789–3,131 SF (5 sales); Over 3,131 SF: 3,274–3,689 SF (5 sales)
Groups by year built: Before 2018: 2016–2017 (5 sales); 2018–2021: 2018–2021 (8 sales); After 2021: 2022–2022 (7 sales)
View and no view: View: MLS lists a view (13 sales); No view: None or Neighborhood (6 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 $624,546, median $637,000. Days on market: average 82, median 50: 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 living area: m = 8, threshold p < 0.0063; Groups 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
0 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

Too few sales in a group to test.

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 11.3330.0101p < 0.0063Unclearε² = 0.596large
Net price per SFKruskal–WallisH = 4.7330.1930p < 0.0063Unclearε² = 0.249large
Year builtKruskal–WallisH = 9.6030.0223p < 0.0063Unclearε² = 0.505large
Days on marketKruskal–WallisH = 0.9230.8206p < 0.0063Unclearε² = 0.048small
Discount from original listKruskal–WallisH = 1.3930.7073p < 0.0063Unclearε² = 0.073medium
Price cut before saleChi-squareχ² = 2.2230.5276p < 0.0063UnclearCramér’s V = 0.333medium
Seller paid closing costs or repairsChi-squareχ² = 0.6130.8950p < 0.0063UnclearCramér’s V = 0.174small
Has a viewChi-squareχ² = 0.6630.8827p < 0.0063UnclearCramér’s V = 0.182small

8.3.3 Groups by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 6.2020.0450p < 0.0063Unclearε² = 0.326large
Net price per SFKruskal–WallisH = 9.7420.0077p < 0.0063Unclearε² = 0.513large
Living areaKruskal–WallisH = 8.1420.0171p < 0.0063Unclearε² = 0.428large
Days on marketKruskal–WallisH = 0.2420.8857p < 0.0063Unclearε² = 0.013small
Discount from original listKruskal–WallisH = 0.3020.8607p < 0.0063Unclearε² = 0.016small
Price cut before saleChi-squareχ² = 0.6520.7228p < 0.0063UnclearCramér’s V = 0.180small
Seller paid closing costs or repairsChi-squareχ² = 2.2720.3221p < 0.0063UnclearCramér’s V = 0.337medium
Has a viewChi-squareχ² = 0.2020.9030p < 0.0063UnclearCramér’s V = 0.101small

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 60.50—0.0654p < 0.0063Unclearrank-biserial r = 0.551large
Net price per SFMann–Whitney UU = 46.00—0.5789p < 0.0063Unclearrank-biserial r = 0.179small
Living areaMann–Whitney UU = 45.00—0.6388p < 0.0063Unclearrank-biserial r = 0.154small
Year builtMann–Whitney UU = 43.00—0.7540p < 0.0063Unclearrank-biserial r = 0.103small
Days on marketMann–Whitney UU = 11.00—0.0125p < 0.0063Unclearrank-biserial r = 0.718large
Discount from original listMann–Whitney UU = 24.00—0.2033p < 0.0063Unclearrank-biserial r = 0.385medium
Price cut before saleChi-squareχ² = 0.6910.4052p < 0.0063UnclearCramér’s V = 0.191small
Seller paid closing costs or repairsChi-squareχ² = 0.2810.5988p < 0.0063UnclearCramér’s V = 0.121small

8.4 Data notes

Left out of the analysis: 0 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 20 closed MLS resale sales; the 0 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled November 5, 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.