ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Cardinal Hills Estates

Austin, TX 78734
Resale homes · closed Nov 9 – Nov 8, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
November 9, 2026 · 6:30 AM CST
MARKET STUDY All analysis covers resale homes only. New construction appears once, in its own section. Click any dot on the map for that sale.
Resale sales, 365 days
14
single-family resale homes
Median net sale price
$622,500
average $616,771
Median net price per SF
$239
average $259
Median days on market
62 days
average 145 days
1. SummaryResale homes · 14 sales · November 9, 2025 – November 8, 2026

This study looks at the 14 resale homes sold in Cardinal Hills Estates in the 365 days to November 8, 2026. A full year is used because only 10 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 sold14 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 $585K · 4 sales$585K–$620K · 3 sales$625K–$690K · 3 salesOver $690K · 4 sales
3. Quartiles by net sale priceResale homes · 14 sales · November 9, 2025 – November 8, 2026

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

2026-11-09T06:30:18.934438 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 3 3 4 14 sales Sales per group Under $585K: 4 sales (29%) $585K–$620K: 3 sales (21%) $625K–$690K: 3 sales (21%) Over $690K: 4 sales (29%)
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

2026-11-09T06:30:18.963439 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $585K 4 sales $585K– $620K 3 sales $625K– $690K 3 sales Over $690K 4 sales $0 $100 $200 $300 $250 $224 $273 $283 Net price per SF, average

The average is $283 per SF for homes over $690K and $250 per SF for homes under $585K. It does not move in a straight line; homes over $690K are highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-11-09T06:30:18.986468 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $585K 4 sales $585K– $620K 3 sales $625K– $690K 3 sales Over $690K 4 sales 0 1,000 2,000 3,000 1,798 2,706 2,495 2,785 Living area (SF), average

The average is 2,785 SF for homes over $690K and 1,798 SF for homes under $585K. It does not move in a straight line; homes over $690K are highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-11-09T06:30:19.012715 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $585K 4 sales $585K– $620K 3 sales $625K– $690K 3 sales Over $690K 4 sales 2002 2005 2008 2011 2014 2004 2008 2007 2004 Year built: median (dot) and middle half (bar)

The median is 2004 for homes over $690K and 2004 for homes under $585K. It does not move in a straight line; homes $585K–$620K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-11-09T06:30:19.037151 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $585K 4 sales $585K– $620K 3 sales $625K– $690K 3 sales Over $690K 4 sales 0 50 100 150 150 51 101 62 Days on market, median

The median is 62 days for homes over $690K and 150 days for homes under $585K. It does not move in a straight line; homes under $585K are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-11-09T06:30:19.061162 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $585K 4 sales $585K– $620K 3 sales $625K– $690K 3 sales Over $690K 4 sales 0.0% 10.0% 20.0% 11.4% 15.9% 20.2% 6.9% Discount from original list, average

The average is 6.9% for homes over $690K and 11.4% for homes under $585K. It does not move in a straight line; homes $625K–$690K 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

2026-11-09T06:30:19.093847 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% 33% 33% 67% 33% 67% 75% 50% 75% Under $585K $585K–$620K $625K–$690K Over $690K

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

  • 75% of homes over $690K had a price cut before sale, against 75% of homes under $585K. Defined in 8.1.7.
  • 50% of homes over $690K had the seller pay closing costs or repairs, against 75% of homes under $585K. Defined in 8.1.8.
  • 75% of homes over $690K have a view, against 50% of homes under $585K. 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 $585K4 sales$585K–$620K3 sales$625K–$690K3 salesOver $690K4 salesAll14 sales
Net sale price average$440,025$600,433$655,000$777,100$616,771
Net price per SF average$250$224$273$283$259
Living area average1,7982,7062,4952,7852,424
Year built median20042008200720042005

3.10 The numbers: selling

Under $585K4 sales$585K–$620K3 sales$625K–$690K3 salesOver $690K4 salesAll14 sales
Days on market median150511016262
Discount from original list average11.4%15.9%20.2%6.9%13.0%
Price cut before sale75%67%67%75%71%
Seller paid closing costs or repairs75%33%33%50%50%
Has a view50%33%67%75%57%

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 · 14 sales · November 9, 2025 – November 8, 2026

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

2026-11-09T06:30:19.115350 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 3 3 4 14 sales Sales per group Under 2,145 SF: 4 sales (29%) 2,145–2,407 SF: 3 sales (21%) 2,644–2,886 SF: 3 sales (21%) Over 2,886 SF: 4 sales (29%)
Bottom line: too few sales to test.

4.1 Key differences

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

4.3 Net sale price: described, not tested

2026-11-09T06:30:19.136726 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,145 SF 4 sales 2,145– 2,407 SF 3 sales 2,644– 2,886 SF 3 sales Over 2,886 SF 4 sales $0K $250K $500K $750K $472K $648K $698K $678K Net sale price, average

The average is $678K for homes over 2,886 SF and $472K for homes under 2,145 SF. It does not move in a straight line; homes 2,644–2,886 SF are highest. Defined in 8.1.1.

Not tested: too few sales.

4.4 Net price per SF: described, not tested

2026-11-09T06:30:19.159868 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,145 SF 4 sales 2,145– 2,407 SF 3 sales 2,644– 2,886 SF 3 sales Over 2,886 SF 4 sales $0 $100 $200 $300 $277 $281 $253 $228 Net price per SF, average

The average is $228 per SF for homes over 2,886 SF and $277 per SF for homes under 2,145 SF. It does not move in a straight line; homes 2,145–2,407 SF are highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-11-09T06:30:19.183890 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,145 SF 4 sales 2,145– 2,407 SF 3 sales 2,644– 2,886 SF 3 sales Over 2,886 SF 4 sales 2000 2005 2010 2015 2004 2001 2016 2004 Year built: median (dot) and middle half (bar)

The median is 2004 for homes over 2,886 SF and 2004 for homes under 2,145 SF. It does not move in a straight line; homes 2,644–2,886 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-11-09T06:30:19.207220 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,145 SF 4 sales 2,145– 2,407 SF 3 sales 2,644– 2,886 SF 3 sales Over 2,886 SF 4 sales 0 100 200 225 19 65 100 Days on market, median

The median is 100 days for homes over 2,886 SF and 225 days for homes under 2,145 SF. It does not move in a straight line; homes under 2,145 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-11-09T06:30:19.229288 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,145 SF 4 sales 2,145– 2,407 SF 3 sales 2,644– 2,886 SF 3 sales Over 2,886 SF 4 sales 0.0% 10.0% 20.0% 22.9% 3.8% 14.6% 8.6% Discount from original list, average

The average is 8.6% for homes over 2,886 SF and 22.9% for homes under 2,145 SF. It does not move in a straight line; homes under 2,145 SF are highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-11-09T06:30:19.254665 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% 100% 50% 50% 0% 100% 67% 100% 33% 67% 75% 25% 50% Under 2,145 SF 2,145–2,407 SF 2,644–2,886 SF Over 2,886 SF

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

  • 75% of homes over 2,886 SF had a price cut before sale, against 100% of homes under 2,145 SF. Defined in 8.1.7.
  • 25% of homes over 2,886 SF had the seller pay closing costs or repairs, against 50% of homes under 2,145 SF. Defined in 8.1.8.
  • 50% of homes over 2,886 SF have a view, against 50% of homes under 2,145 SF. 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.

4.9 The numbers: price and size

Under 2,145 SF4 sales2,145–2,407 SF3 sales2,644–2,886 SF3 salesOver 2,886 SF4 salesAll14 sales
Net sale price average$471,900$648,066$697,667$677,500$616,771
Net price per SF average$277$281$253$228$259
Living area average1,7262,2942,7592,9682,424
Year built median20042001201620042005

4.10 The numbers: selling

Under 2,145 SF4 sales2,145–2,407 SF3 sales2,644–2,886 SF3 salesOver 2,886 SF4 salesAll14 sales
Days on market median225196510062
Discount from original list average22.9%3.8%14.6%8.6%13.0%
Price cut before sale100%0%100%75%71%
Seller paid closing costs or repairs50%100%33%25%50%
Has a view50%67%67%50%57%

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 · 14 sales · November 9, 2025 – November 8, 2026

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

2026-11-09T06:30:19.275446 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 3 4 4 14 sales Sales per group Before 2004: 3 sales (21%) 2004: 3 sales (21%) 2005–2007: 4 sales (29%) After 2007: 4 sales (29%)
Bottom line: too few sales to test.

5.1 Key differences

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

5.3 Net sale price: described, not tested

2026-11-09T06:30:19.295638 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2004 3 sales 2004 3 sales 2005– 2007 4 sales After 2007 4 sales $0K $250K $500K $750K $666K $580K $552K $672K Net sale price, average

The average is $672K for homes built after 2007 and $666K for homes built before 2004. It does not move in a straight line; homes built after 2007 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-11-09T06:30:19.318179 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2004 3 sales 2004 3 sales 2005– 2007 4 sales After 2007 4 sales $0 $100 $200 $300 $312 $261 $222 $254 Net price per SF, average

The average is $254 per SF for homes built after 2007 and $312 per SF for homes built before 2004. It does not move in a straight line; homes built before 2004 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-11-09T06:30:19.339380 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2004 3 sales 2004 3 sales 2005– 2007 4 sales After 2007 4 sales 0 1,000 2,000 3,000 2,136 2,358 2,461 2,652 Living area (SF), average

The average is 2,652 SF for homes built after 2007 and 2,136 SF for homes built before 2004. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-11-09T06:30:19.361343 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2004 3 sales 2004 3 sales 2005– 2007 4 sales After 2007 4 sales 0 100 200 243 58 152 58 Days on market, median

The median is 58 days for homes built after 2007 and 243 days for homes built before 2004. It does not move in a straight line; homes built before 2004 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-11-09T06:30:19.382771 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2004 3 sales 2004 3 sales 2005– 2007 4 sales After 2007 4 sales 0.0% 10.0% 20.0% 20.0% 9.8% 12.0% 11.1% Discount from original list, average

The average is 11.1% for homes built after 2007 and 20.0% for homes built before 2004. It does not move in a straight line; homes built before 2004 are highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-11-09T06:30:19.406761 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% 33% 67% 100% 100% 33% 0% 75% 50% 75% 75% 50% 50% Before 2004 2004 2005–2007 After 2007

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

  • 75% of homes built after 2007 had a price cut before sale, against 33% of homes built before 2004. Defined in 8.1.7.
  • 50% of homes built after 2007 had the seller pay closing costs or repairs, against 67% of homes built before 2004. Defined in 8.1.8.
  • 50% of homes built after 2007 have a view, against 100% of homes built before 2004. 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 20043 sales20043 sales2005–20074 salesAfter 20074 salesAll14 sales
Net sale price average$665,967$579,500$552,275$672,324$616,771
Net price per SF average$312$261$222$254$259
Living area average2,1362,3582,4612,6522,424
Year built median19992004200620152005

5.10 The numbers: selling

Before 20043 sales20043 sales2005–20074 salesAfter 20074 salesAll14 sales
Days on market median243581525862
Discount from original list average20.0%9.8%12.0%11.1%13.0%
Price cut before sale33%100%75%75%71%
Seller paid closing costs or repairs67%33%50%50%50%
Has a view100%0%75%50%57%

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 · 14 sales · November 9, 2025 – November 8, 2026

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

2026-11-09T06:30:19.424978 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 8 6 14 sales Sales per group View: 8 sales (57%) No view: 6 sales (43%)
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$648K$576Kunclear
Net price per SF$264 per SF$252 per SFunclear
Living area2,475 SF2,356 SFunclear
Year built20052006unclear
Days on market154 days58 daysunclear
Discount from original list15.9%9.1%unclear
Price cut before sale62%83%unclear
Seller paid closing costs or repairs62%33%unclear

6.3 Net sale price: no clear difference

2026-11-09T06:30:19.441307 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 8 sales No view 6 sales $0K $200K $400K $600K $648K $576K Net sale price, average

The average is $648K for homes with a view and $576K 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

2026-11-09T06:30:19.459428 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 8 sales No view 6 sales $0 $100 $200 $300 $264 $252 Net price per SF, average

The average is $264 per SF for homes with a view and $252 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

2026-11-09T06:30:19.477308 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 8 sales No view 6 sales 0 1,000 2,000 2,475 2,356 Living area (SF), average

The average is 2,475 SF for homes with a view and 2,356 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-11-09T06:30:19.544209 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 8 sales No view 6 sales 2002 2004 2006 2008 2005 2006 Year built: median (dot) and middle half (bar)

The median is 2005 for homes with a view and 2006 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-11-09T06:30:19.562339 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 8 sales No view 6 sales 0 50 100 150 154 58 Days on market, median

The median is 154 days for homes with a view and 58 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

2026-11-09T06:30:19.580363 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 8 sales No view 6 sales 0.0% 5.0% 10.0% 15.0% 15.9% 9.1% Discount from original list, average

The average is 15.9% for homes with a view and 9.1% 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

2026-11-09T06:30:19.598177 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 62% 62% 83% 33% View No view

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

  • 62% of homes with a view had a price cut before sale, against 83% of homes without a view. Defined in 8.1.7.
  • 62% of homes with a view had the seller pay closing costs or repairs, against 33% 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

View8 salesNo view6 salesAll14 salesReal difference?
Net sale price average$647,500$575,800$616,771unclear
Net price per SF average$264$252$259unclear
Living area average2,4752,3562,424unclear
Year built median200520062005unclear

6.11 The numbers: selling

View8 salesNo view6 salesAll14 salesReal difference?
Days on market median1545862unclear
Discount from original list average15.9%9.1%13.0%unclear
Price cut before sale62%83%71%unclear
Seller paid closing costs or repairs62%33%50%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 · 1 sales · November 9, 2025 – November 8, 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: 1 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 Cardinal Hills Estates.
MeasureAverageMedian
Sales1
Net sale price$1,800,000$1,800,000
Net price per SF$263$263
Living area (SF)6,8376,837
Days on market1414
Discount from original list5.0%5.0%
Price cut before sale0% of sales
Seller paid closing costs or repairs0% of sales
Year built2025–2025

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
14 resale sales. Average $616,771; median $622,500; standard deviation $148,042; middle half (25th–75th percentile) $538,125–$697,500; lowest $324,100, highest $883,000. 7 sales had a seller payment; their median payment was $5,000.

8.1.2 Net price per SF

In simple terms
Net sale price divided by the heated and cooled square feet. It puts homes of different sizes on the same footing: did buyers pay more for each square foot, not just for more square feet?
Statistically
psf = Net ÷ LivingArea, per sale; summarized by the mean of the per-sale ratios.
The data
14 resale sales. Average $259; median $239; standard deviation $54; middle half (25th–75th percentile) $228–$305; lowest $192, highest $350.

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
14 resale sales. Average 2,424; median 2,526; standard deviation 552; middle half (25th–75th percentile) 2,100–2,898; lowest 1,271, highest 3,082.

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
14 resale sales. Average 2007; median 2005; standard deviation 6; middle half (25th–75th percentile) 2004–2008; lowest 1998, highest 2020.

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
14 resale sales. Average 145; median 62; standard deviation 173; middle half (25th–75th percentile) 38–218; lowest 7, highest 602. 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
14 resale sales. Average 13.0%; median 9.5%; standard deviation 13.3%; middle half (25th–75th percentile) 4.0%–19.9%; lowest 0.0%, highest 49.2%. 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
10 of 14 resale sales (71.4%).

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
7 of 14 resale sales (50.0%).

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
8 sales with a view, 6 without, 0 unclassified. Most common View entries: None 5, Hill Country 4, Trees/Woods 3, Neighborhood 3, Panoramic 2, Pool 1, Creek/Stream 1, Skyline 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 2026-11-09 12:30 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Austin, SubdivisionName contains any of “cardinal hills estates” (case-insensitive). A record is kept when its subdivision name belongs to the Cardinal Hills Estates family, the same rule comparable sales use.
The data
Pulled November 9, 2026: 15 closed Cardinal Hills Estates records over the prior year, in ZIP 78734. 6 subdivision spellings kept: Cardinal Hills Estates Unit 15 (8); Cardinal Hills Estates Unit 11 (2); Cardinal Hills Estates Unit 14 (2); Cardinal Hills Estates (1); CARDINAL HILLS ESTATES (1); Cardinal Hills Estates Unit 12 (1). Names found by the search but not part of Cardinal Hills Estates, left out: Lakeway; Cardinal Hills Estates Unit 15 (1).

8.2.2 Study window

In simple terms
The most recent 365 days of closed sales: recent enough to describe today's market, long enough to give each group plenty of sales. The usual window is 180 days; it holds only 10 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from November 9, 2025 to November 8, 2026 inclusive.
The data
15 single-family sales in the window: 14 resale, 1 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
14 resale; 1 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 $585K”.
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 $585K: $324,100–$522,500 (4 sales); $585K–$620K: $585,000–$620,000 (3 sales); $625K–$690K: $625,000–$690,000 (3 sales); Over $690K: $700,000–$883,000 (4 sales)
Quartiles by living area: Under 2,145 SF: 1,271–2,085 SF (4 sales); 2,145–2,407 SF: 2,145–2,407 SF (3 sales); 2,644–2,886 SF: 2,644–2,886 SF (3 sales); Over 2,886 SF: 2,902–3,082 SF (4 sales)
Quartiles by year built: Before 2004: 1998–2001 (3 sales); 2004: 2004–2004 (3 sales); 2005–2007: 2005–2007 (4 sales); After 2007: 2008–2020 (4 sales)
View and no view: View: MLS lists a view (8 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 $616,771, median $622,500. Days on market: average 145, median 62: 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
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

Too few sales in a group to test.

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 = 31.50—0.3656p < 0.0063Unclearrank-biserial r = 0.312medium
Net price per SFMann–Whitney UU = 23.00—0.9497p < 0.0063Unclearrank-biserial r = 0.042negligible
Living areaMann–Whitney UU = 27.00—0.7466p < 0.0063Unclearrank-biserial r = 0.125small
Year builtMann–Whitney UU = 20.50—0.6966p < 0.0063Unclearrank-biserial r = 0.146small
Days on marketMann–Whitney UU = 30.00—0.4772p < 0.0063Unclearrank-biserial r = 0.250small
Discount from original listMann–Whitney UU = 31.00—0.4136p < 0.0063Unclearrank-biserial r = 0.292small
Price cut before saleChi-squareχ² = 0.7310.3932p < 0.0063UnclearCramér’s V = 0.228small
Seller paid closing costs or repairsChi-squareχ² = 1.1710.2801p < 0.0063UnclearCramér’s V = 0.289small

8.4 Data notes

Left out of the analysis: 1 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 14 closed MLS resale sales; the 1 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled November 9, 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.