ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Arrowhead Ranch

Dripping Springs, TX 78620
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 · 4:53 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
21
single-family resale homes
Median net sale price
$630,000
average $624,251
Median net price per SF
$223
average $222
Median days on market
56 days
average 81 days
1. SummaryResale homes · 21 sales · October 26, 2025 – October 25, 2026

This study looks at the 21 resale homes sold in Arrowhead Ranch in the 365 days to October 25, 2026. A full year is used because only 11 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 sold21 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–$618K · 6 sales$630K–$660K · 6 salesOver $660K · 5 sales
3. Quartiles by net sale priceResale homes · 21 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.

2026-10-26T04:54:12.081711 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 6 6 5 21 sales Sales per group Under $571K: 4 sales (19%) $571K–$618K: 6 sales (29%) $630K–$660K: 6 sales (29%) Over $660K: 5 sales (24%)
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

2026-10-26T04:54:12.110432 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $571K 4 sales $571K– $618K 6 sales $630K– $660K 6 sales Over $660K 5 sales $0 $100 $200 $237 $214 $208 $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

2026-10-26T04:54:12.132740 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $571K 4 sales $571K– $618K 6 sales $630K– $660K 6 sales Over $660K 5 sales 0 1,000 2,000 3,000 2,176 2,793 3,170 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 $630K–$660K are highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-10-26T04:54:12.155991 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $571K 4 sales $571K– $618K 6 sales $630K– $660K 6 sales Over $660K 5 sales 2018 2020 2022 2020 2020 2019 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

2026-10-26T04:54:12.178143 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $571K 4 sales $571K– $618K 6 sales $630K– $660K 6 sales Over $660K 5 sales 0 50 100 68 57 28 103 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

2026-10-26T04:54:12.199842 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $571K 4 sales $571K– $618K 6 sales $630K– $660K 6 sales Over $660K 5 sales 0.0% 5.0% 10.0% 8.9% 4.6% 3.9% 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

2026-10-26T04:54:12.229200 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 67 83 67 33 17 67 60 60 80 Under $571K $571K–$618K $630K–$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–$618K6 sales$630K–$660K6 salesOver $660K5 salesAll21 sales
Net sale price average$514,000$594,850$648,667$718,436$624,251
Net price per SF average$237$214$208$238$222
Living area average2,1762,7933,1703,0292,839
Year built median20202020201920222020

3.10 The numbers: selling

Under $571K4 sales$571K–$618K6 sales$630K–$660K6 salesOver $660K5 salesAll21 sales
Days on market median68572810356
Discount from original list average8.9%4.6%3.9%5.9%5.5%
Price cut before sale75%67%33%60%57%
Seller paid closing costs or repairs75%83%17%60%57%
Has a view50%67%67%80%67%

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 · 21 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.

2026-10-26T04:54:12.249279 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 6 5 21 sales Sales per group Under 2,735 SF: 5 sales (24%) 2,735–2,785 SF: 5 sales (24%) 2,788–3,131 SF: 6 sales (29%) Over 3,131 SF: 5 sales (24%)
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 SF2,735–2,785 SF2,788–3,131 SFOver 3,131 SFReal difference?
Net sale price$525K$622K$651K$692Kunclear
Net price per SF$234 per SF$226 per SF$227 per SF$201 per SFunclear
Year built2020202220202017unclear
Days on market56 days58 days67 days19 daysunclear
Discount from original list7.8%3.1%5.9%5.4%unclear
Price cut before sale80%60%50%40%unclear
Seller paid closing costs or repairs60%60%67%40%unclear
Has a view60%60%67%80%unclear

4.3 Net sale price: no clear difference

2026-10-26T04:54:12.270152 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,735 SF 5 sales 2,735– 2,785 SF 5 sales 2,788– 3,131 SF 6 sales Over 3,131 SF 5 sales $0K $250K $500K $750K $525K $622K $651K $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

2026-10-26T04:54:12.292977 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,735 SF 5 sales 2,735– 2,785 SF 5 sales 2,788– 3,131 SF 6 sales Over 3,131 SF 5 sales $0 $100 $200 $234 $226 $227 $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 does not move in a straight line; homes under 2,735 SF are highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-10-26T04:54:12.316177 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,735 SF 5 sales 2,735– 2,785 SF 5 sales 2,788– 3,131 SF 6 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 2,735–2,785 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-10-26T04:54:12.338968 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,735 SF 5 sales 2,735– 2,785 SF 5 sales 2,788– 3,131 SF 6 sales Over 3,131 SF 5 sales 0 25 50 75 56 58 67 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 2,788–3,131 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-26T04:54:12.361474 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,735 SF 5 sales 2,735– 2,785 SF 5 sales 2,788– 3,131 SF 6 sales Over 3,131 SF 5 sales 0.0% 2.5% 5.0% 7.5% 7.8% 3.1% 5.9% 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

2026-10-26T04:54:12.387755 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 50 67 67 40 40 80 Under 2,735 SF 2,735–2,785 SF 2,788–3,131 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 sales2,735–2,785 SF5 sales2,788–3,131 SF6 salesOver 3,131 SF5 salesAll21 salesReal difference?
Net sale price average$525,400$622,270$651,488$692,400$624,251unclear
Net price per SF average$234$226$227$201$222unclear
Living area average2,2532,7542,8773,4652,839by design
Year built median20202022202020172020unclear

4.10 The numbers: selling

Under 2,735 SF5 sales2,735–2,785 SF5 sales2,788–3,131 SF6 salesOver 3,131 SF5 salesAll21 salesReal difference?
Days on market median5658671956unclear
Discount from original list average7.8%3.1%5.9%5.4%5.5%unclear
Price cut before sale80%60%50%40%57%unclear
Seller paid closing costs or repairs60%60%67%40%57%unclear
Has a view60%60%67%80%67%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 · 21 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.

2026-10-26T04:54:12.407919 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 6 3 7 21 sales Sales per group Before 2018: 5 sales (24%) 2018–2020: 6 sales (29%) 2021: 3 sales (14%) After 2021: 7 sales (33%)
Bottom line: too few sales to test.

5.1 Key differences

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

5.3 Net sale price: described, not tested

2026-10-26T04:54:12.428210 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2018 5 sales 2018– 2020 6 sales 2021 3 sales After 2021 7 sales $0K $250K $500K $750K $637K $577K $575K $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.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T04:54:12.450948 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2018 5 sales 2018– 2020 6 sales 2021 3 sales After 2021 7 sales $0 $100 $200 $193 $224 $235 $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.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T04:54:12.471908 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2018 5 sales 2018– 2020 6 sales 2021 3 sales After 2021 7 sales 0 1,000 2,000 3,000 3,327 2,586 2,480 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.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T04:54:12.493590 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2018 5 sales 2018– 2020 6 sales 2021 3 sales After 2021 7 sales 0 50 100 31 41 110 58 Days on market, median

The median is 58 days for homes built after 2021 and 31 days for homes built before 2018. It does not move in a straight line; homes built 2021 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T04:54:12.515962 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2018 5 sales 2018– 2020 6 sales 2021 3 sales After 2021 7 sales 0.0% 2.5% 5.0% 7.5% 6.2% 5.4% 6.7% 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 2021 are highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-10-26T04:54:12.541010 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 67 33 83 67 67 33 57 57 71 Before 2018 2018–2020 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: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.
Has a view: Not tested: too few sales.

5.9 The numbers: price and size

Before 20185 sales2018–20206 sales20213 salesAfter 20217 salesAll21 sales
Net sale price average$636,550$576,533$575,383$677,311$624,251
Net price per SF average$193$224$235$236$222
Living area average3,3272,5862,4802,8622,839
Year built median20172020202120222020

5.10 The numbers: selling

Before 20185 sales2018–20206 sales20213 salesAfter 20217 salesAll21 sales
Days on market median31411105856
Discount from original list average6.2%5.4%6.7%4.7%5.5%
Price cut before sale40%67%67%57%57%
Seller paid closing costs or repairs80%33%67%57%57%
Has a view60%83%33%71%67%

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 · 21 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.

2026-10-26T04:54:12.558627 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 14 6 20 sales Sales per group View: 14 sales (70%) No view: 6 sales (30%)
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$642K$575Kunclear
Net price per SF$224 per SF$214 per SFunclear
Living area2,884 SF2,753 SFunclear
Year built20202020unclear
Days on market32 days139 daysunclear
Discount from original list4.2%8.4%unclear
Price cut before sale50%67%unclear
Seller paid closing costs or repairs57%67%unclear

6.3 Net sale price: no clear difference

2026-10-26T04:54:12.574074 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 14 sales No view 6 sales $0K $200K $400K $600K $642K $575K Net sale price, average

The average is $642K 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

2026-10-26T04:54:12.591654 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 14 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

2026-10-26T04:54:12.609657 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 14 sales No view 6 sales 0 1,000 2,000 3,000 2,884 2,753 Living area (SF), average

The average is 2,884 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

2026-10-26T04:54:12.673725 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 14 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

2026-10-26T04:54:12.691106 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 14 sales No view 6 sales 0 50 100 150 32 139 Days on market, median

The median is 32 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

2026-10-26T04:54:12.710161 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 14 sales No view 6 sales 0.0% 2.5% 5.0% 7.5% 10.0% 4.2% 8.4% Discount from original list, average

The average is 4.2% 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

2026-10-26T04:54:12.728876 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 50 57 67 67 View No view

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

  • 50% of homes with a view had a price cut before sale, against 67% of homes without a view. Defined in 8.1.7.
  • 57% 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

View14 salesNo view6 salesAll20 salesReal difference?
Net sale price average$642,320$575,300$622,214unclear
Net price per SF average$224$214$221unclear
Living area average2,8842,7532,844unclear
Year built median202020202020unclear

6.11 The numbers: selling

View14 salesNo view6 salesAll20 salesReal difference?
Days on market median3213950unclear
Discount from original list average4.2%8.4%5.5%unclear
Price cut before sale50%67%55%unclear
Seller paid closing costs or repairs57%67%60%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 · 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: 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
21 resale sales. Average $624,251; median $630,000; standard deviation $80,094; middle half (25th–75th percentile) $571,000–$660,000; lowest $473,700, highest $830,000. 12 sales had a seller payment; their median payment was $3,100.

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
21 resale sales. Average $222; median $223; standard deviation $23; middle half (25th–75th percentile) $208–$238; 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
21 resale sales. Average 2,839; median 2,788; standard deviation 461; middle half (25th–75th percentile) 2,735–3,131; 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
21 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
21 resale sales. Average 81; median 56; standard deviation 71; middle half (25th–75th percentile) 29–110; 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
21 resale sales. Average 5.5%; median 3.6%; standard deviation 4.5%; middle half (25th–75th percentile) 2.8%–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
12 of 21 resale sales (57.1%).

8.1.8 Seller paid closing costs or repairs

In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
12 of 21 resale sales (57.1%).

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
14 sales with a view, 6 without, 1 unclassified. Most common View entries: Park/Greenbelt 10, Neighborhood 9, Trees/Woods 7, None 4, Hill Country 2, See Remarks 2, Pool 2, Panoramic 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 “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 October 26, 2026: 21 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 Ph 3 (2); Arrowhead Ranch 50's (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 11 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
21 single-family sales in the window: 21 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
21 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–$618K: $571,000–$618,350 (6 sales); $630K–$660K: $630,000–$660,000 (6 sales); Over $660K: $665,000–$830,000 (5 sales)
Quartiles by living area: Under 2,735 SF: 1,866–2,560 SF (5 sales); 2,735–2,785 SF: 2,735–2,785 SF (5 sales); 2,788–3,131 SF: 2,788–3,131 SF (6 sales); Over 3,131 SF: 3,274–3,689 SF (5 sales)
Quartiles by year built: Before 2018: 2016–2017 (5 sales); 2018–2020: 2018–2020 (6 sales); 2021: 2021–2021 (3 sales); After 2021: 2022–2022 (7 sales)
View and no view: View: MLS lists a view (14 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 $624,251, median $630,000. Days on market: average 81, median 56: 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; 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 = 12.3430.0063p < 0.0063Unclearε² = 0.617large
Net price per SFKruskal–WallisH = 4.3930.2219p < 0.0063Unclearε² = 0.220large
Year builtKruskal–WallisH = 8.2130.0418p < 0.0063Unclearε² = 0.411large
Days on marketKruskal–WallisH = 0.6730.8792p < 0.0063Unclearε² = 0.034small
Discount from original listKruskal–WallisH = 2.0230.5678p < 0.0063Unclearε² = 0.101medium
Price cut before saleChi-squareχ² = 1.8130.6131p < 0.0063UnclearCramér’s V = 0.293small
Seller paid closing costs or repairsChi-squareχ² = 0.8630.8361p < 0.0063UnclearCramér’s V = 0.202small
Has a viewChi-squareχ² = 0.6030.8964p < 0.0063UnclearCramér’s V = 0.169small

8.3.3 Quartiles by year built

Too few sales in a group to test.

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 64.50—0.0695p < 0.0063Unclearrank-biserial r = 0.536large
Net price per SFMann–Whitney UU = 49.00—0.6015p < 0.0063Unclearrank-biserial r = 0.167small
Living areaMann–Whitney UU = 48.00—0.6590p < 0.0063Unclearrank-biserial r = 0.143small
Year builtMann–Whitney UU = 47.00—0.7053p < 0.0063Unclearrank-biserial r = 0.119small
Days on marketMann–Whitney UU = 13.00—0.0154p < 0.0063Unclearrank-biserial r = 0.690large
Discount from original listMann–Whitney UU = 26.00—0.2009p < 0.0063Unclearrank-biserial r = 0.381medium
Price cut before saleChi-squareχ² = 0.4710.4924p < 0.0063UnclearCramér’s V = 0.154small
Seller paid closing costs or repairsChi-squareχ² = 0.1610.6903p < 0.0063UnclearCramér’s V = 0.089negligible

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 21 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 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.