ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Cardinal Hills Estates

Austin, TX 78734
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 · 4:22 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
16
single-family resale homes
Median net sale price
$622,500
average $639,331
Median net price per SF
$242
average $261
Median days on market
58 days
average 131 days
1. SummaryResale homes · 16 sales · October 26, 2025 – October 25, 2026

This study looks at the 16 resale homes sold in Cardinal Hills Estates in the 365 days to October 25, 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 sold16 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 $551K · 4 sales$551K–$620K · 4 sales$625K–$690K · 3 salesOver $690K · 5 sales
3. Quartiles by net sale priceResale homes · 16 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.

2026-10-26T04:22:42.441252 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 4 3 5 16 sales Sales per group Under $551K: 4 sales (25%) $551K–$620K: 4 sales (25%) $625K–$690K: 3 sales (19%) Over $690K: 5 sales (31%)
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

2026-10-26T04:22:42.469913 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $551K 4 sales $551K– $620K 4 sales $625K– $690K 3 sales Over $690K 5 sales $0 $100 $200 $300 $250 $234 $273 $283 Net price per SF, average

The average is $283 per SF for homes over $690K and $250 per SF for homes under $551K. 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

2026-10-26T04:22:42.493010 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $551K 4 sales $551K– $620K 4 sales $625K– $690K 3 sales Over $690K 5 sales 0 1,000 2,000 3,000 1,798 2,552 2,495 2,969 Living area (SF), average

The average is 2,969 SF for homes over $690K and 1,798 SF for homes under $551K. 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

2026-10-26T04:22:42.516906 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $551K 4 sales $551K– $620K 4 sales $625K– $690K 3 sales Over $690K 5 sales 2005 2008 2011 2004 2009 2007 2005 Year built: median (dot) and middle half (bar)

The median is 2005 for homes over $690K and 2004 for homes under $551K. It does not move in a straight line; homes $551K–$620K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-10-26T04:22:42.540010 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $551K 4 sales $551K– $620K 4 sales $625K– $690K 3 sales Over $690K 5 sales 0 50 100 150 150 35 101 58 Days on market, median

The median is 58 days for homes over $690K and 150 days for homes under $551K. It does not move in a straight line; homes under $551K are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-10-26T04:22:42.562486 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $551K 4 sales $551K– $620K 4 sales $625K– $690K 3 sales Over $690K 5 sales 0.0% 10.0% 20.0% 11.4% 13.0% 20.2% 6.5% Discount from original list, average

The average is 6.5% for homes over $690K and 11.4% for homes under $551K. 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

2026-10-26T04:22:42.592505 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 25 25 67 33 67 60 40 60 Under $551K $551K–$620K $625K–$690K Over $690K

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

  • 60% of homes over $690K had a price cut before sale, against 75% of homes under $551K. Defined in 8.1.7.
  • 40% of homes over $690K had the seller pay closing costs or repairs, against 75% of homes under $551K. Defined in 8.1.8.
  • 60% of homes over $690K have a view, against 50% of homes under $551K. 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 $551K4 sales$551K–$620K4 sales$625K–$690K3 salesOver $690K5 salesAll16 sales
Net sale price average$440,025$588,074$655,000$830,380$639,331
Net price per SF average$250$234$273$283$261
Living area average1,7982,5522,4952,9692,483
Year built median20042009200720052005

3.10 The numbers: selling

Under $551K4 sales$551K–$620K4 sales$625K–$690K3 salesOver $690K5 salesAll16 sales
Days on market median150351015858
Discount from original list average11.4%13.0%20.2%6.5%11.9%
Price cut before sale75%50%67%60%62%
Seller paid closing costs or repairs75%25%33%40%44%
Has a view50%25%67%60%50%

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 · 16 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.

2026-10-26T04:22:42.613090 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 4 3 5 16 sales Sales per group Under 2,090 SF: 4 sales (25%) 2,090–2,407 SF: 4 sales (25%) 2,644–2,886 SF: 3 sales (19%) Over 2,886 SF: 5 sales (31%)
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

2026-10-26T04:22:42.634387 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,090 SF 4 sales 2,090– 2,407 SF 4 sales 2,644– 2,886 SF 3 sales Over 2,886 SF 5 sales $0K $250K $500K $750K $472K $624K $698K $751K Net sale price, average

The average is $751K for homes over 2,886 SF and $472K for homes under 2,090 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

Not tested: too few sales.

4.4 Net price per SF: described, not tested

2026-10-26T04:22:42.657888 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,090 SF 4 sales 2,090– 2,407 SF 4 sales 2,644– 2,886 SF 3 sales Over 2,886 SF 5 sales $0 $100 $200 $300 $277 $277 $253 $239 Net price per SF, average

The average is $239 per SF for homes over 2,886 SF and $277 per SF for homes under 2,090 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-10-26T04:22:42.683430 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,090 SF 4 sales 2,090– 2,407 SF 4 sales 2,644– 2,886 SF 3 sales Over 2,886 SF 5 sales 2000 2004 2008 2012 2016 2004 2004 2016 2005 Year built: median (dot) and middle half (bar)

The median is 2005 for homes over 2,886 SF and 2004 for homes under 2,090 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

2026-10-26T04:22:42.707735 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,090 SF 4 sales 2,090– 2,407 SF 4 sales 2,644– 2,886 SF 3 sales Over 2,886 SF 5 sales 0 100 200 225 14 65 58 Days on market, median

The median is 58 days for homes over 2,886 SF and 225 days for homes under 2,090 SF. It does not move in a straight line; homes under 2,090 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-10-26T04:22:42.730430 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,090 SF 4 sales 2,090– 2,407 SF 4 sales 2,644– 2,886 SF 3 sales Over 2,886 SF 5 sales 0.0% 10.0% 20.0% 22.9% 3.9% 14.6% 7.9% Discount from original list, average

The average is 7.9% for homes over 2,886 SF and 22.9% for homes under 2,090 SF. It does not move in a straight line; homes under 2,090 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

2026-10-26T04:22:42.757419 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 75 50 100 33 67 60 20 40 Under 2,090 SF 2,090–2,407 SF 2,644–2,886 SF Over 2,886 SF

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

  • 60% of homes over 2,886 SF had a price cut before sale, against 100% of homes under 2,090 SF. Defined in 8.1.7.
  • 20% of homes over 2,886 SF had the seller pay closing costs or repairs, against 50% of homes under 2,090 SF. Defined in 8.1.8.
  • 40% of homes over 2,886 SF have a view, against 50% of homes under 2,090 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 2,090 SF4 sales2,090–2,407 SF4 sales2,644–2,886 SF3 salesOver 2,886 SF5 salesAll16 sales
Net sale price average$471,900$623,800$697,667$750,700$639,331
Net price per SF average$277$277$253$239$261
Living area average1,7262,2432,7593,1162,483
Year built median20042004201620052005

4.10 The numbers: selling

Under 2,090 SF4 sales2,090–2,407 SF4 sales2,644–2,886 SF3 salesOver 2,886 SF5 salesAll16 sales
Days on market median22514655858
Discount from original list average22.9%3.9%14.6%7.9%11.9%
Price cut before sale100%0%100%60%62%
Seller paid closing costs or repairs50%75%33%20%44%
Has a view50%50%67%40%50%

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 · 16 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.

2026-10-26T04:22:42.778055 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 6 3 4 16 sales Sales per group Before 2004: 3 sales (19%) 2004–2005: 6 sales (38%) 2007–2008: 3 sales (19%) After 2008: 4 sales (25%)
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

2026-10-26T04:22:42.798377 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2004 3 sales 2004– 2005 6 sales 2007– 2008 3 sales After 2008 4 sales $0K $200K $400K $600K $666K $634K $594K $661K Net sale price, average

The average is $661K for homes built after 2008 and $666K for homes built before 2004. It does not move in a straight line; homes built before 2004 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T04:22:42.821508 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2004 3 sales 2004– 2005 6 sales 2007– 2008 3 sales After 2008 4 sales $0 $100 $200 $300 $312 $247 $241 $256 Net price per SF, average

The average is $256 per SF for homes built after 2008 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

2026-10-26T04:22:42.843343 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2004 3 sales 2004– 2005 6 sales 2007– 2008 3 sales After 2008 4 sales 0 1,000 2,000 3,000 2,136 2,593 2,467 2,592 Living area (SF), average

The average is 2,592 SF for homes built after 2008 and 2,136 SF for homes built before 2004. It does not move in a straight line; homes built 2004–2005 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T04:22:42.865876 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2004 3 sales 2004– 2005 6 sales 2007– 2008 3 sales After 2008 4 sales 0 100 200 243 100 19 58 Days on market, median

The median is 58 days for homes built after 2008 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

2026-10-26T04:22:42.888358 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2004 3 sales 2004– 2005 6 sales 2007– 2008 3 sales After 2008 4 sales 0.0% 10.0% 20.0% 20.0% 11.3% 5.1% 12.0% Discount from original list, average

The average is 12.0% for homes built after 2008 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

2026-10-26T04:22:42.913769 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 83 33 33 33 67 33 75 25 50 Before 2004 2004–2005 2007–2008 After 2008

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

  • 75% of homes built after 2008 had a price cut before sale, against 33% of homes built before 2004. Defined in 8.1.7.
  • 25% of homes built after 2008 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 2008 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 sales2004–20056 sales2007–20083 salesAfter 20084 salesAll16 sales
Net sale price average$665,967$634,350$593,766$661,000$639,331
Net price per SF average$312$247$241$256$261
Living area average2,1362,5932,4672,5922,483
Year built median19992004200720152005

5.10 The numbers: selling

Before 20043 sales2004–20056 sales2007–20083 salesAfter 20084 salesAll16 sales
Days on market median243100195858
Discount from original list average20.0%11.3%5.1%12.0%11.9%
Price cut before sale33%83%33%75%62%
Seller paid closing costs or repairs67%33%67%25%44%
Has a view100%33%33%50%50%

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 · 16 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.

2026-10-26T04:22:42.932150 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 8 7 15 sales Sales per group View: 8 sales (53%) No view: 7 sales (47%)
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$572Kunclear
Net price per SF$264 per SF$254 per SFunclear
Living area2,475 SF2,318 SFunclear
Year built20052007unclear
Days on market154 days58 daysunclear
Discount from original list15.9%8.4%unclear
Price cut before sale62%71%unclear
Seller paid closing costs or repairs62%29%unclear

6.3 Net sale price: no clear difference

2026-10-26T04:22:42.948127 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 8 sales No view 7 sales $0K $200K $400K $600K $648K $572K Net sale price, average

The average is $648K for homes with a view and $572K 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

2026-10-26T04:22:42.965908 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 8 sales No view 7 sales $0 $100 $200 $300 $264 $254 Net price per SF, average

The average is $264 per SF for homes with a view and $254 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

2026-10-26T04:22:42.984685 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 8 sales No view 7 sales 0 1,000 2,000 2,475 2,318 Living area (SF), average

The average is 2,475 SF for homes with a view and 2,318 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-26T04:22:43.031370 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 8 sales No view 7 sales 2002 2004 2006 2008 2005 2007 Year built: median (dot) and middle half (bar)

The median is 2005 for homes with a view and 2007 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-26T04:22:43.049530 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 8 sales No view 7 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

2026-10-26T04:22:43.067875 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 8 sales No view 7 sales 0.0% 5.0% 10.0% 15.0% 15.9% 8.4% Discount from original list, average

The average is 15.9% 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

2026-10-26T04:22:43.086833 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 62 62 71 29 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 71% 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 29% 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 view7 salesAll15 salesReal difference?
Net sale price average$647,500$572,257$612,387unclear
Net price per SF average$264$254$259unclear
Living area average2,4752,3182,402unclear
Year built median200520072005unclear

6.11 The numbers: selling

View8 salesNo view7 salesAll15 salesReal difference?
Days on market median1545858unclear
Discount from original list average15.9%8.4%12.4%unclear
Price cut before sale62%71%67%unclear
Seller paid closing costs or repairs62%29%47%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 · 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: 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
16 resale sales. Average $639,331; median $622,500; standard deviation $175,726; middle half (25th–75th percentile) $543,875–$700,000; lowest $324,100, highest $1,043,500. 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
16 resale sales. Average $261; median $242; standard deviation $50; middle half (25th–75th percentile) $230–$291; 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
16 resale sales. Average 2,483; median 2,526; standard deviation 615; middle half (25th–75th percentile) 2,089–2,902; lowest 1,271, highest 3,707.

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
16 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
16 resale sales. Average 131; median 58; standard deviation 165; middle half (25th–75th percentile) 30–168; 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
16 resale sales. Average 11.9%; median 8.1%; standard deviation 12.7%; middle half (25th–75th percentile) 3.9%–15.9%; 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 16 resale sales (62.5%).

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 16 resale sales (43.8%).

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, 7 without, 1 unclassified. Most common View entries: None 5, Neighborhood 4, Hill Country 4, Trees/Woods 3, Panoramic 2, See Remarks 1, Creek/Stream 1, Pool 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 = 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 October 26, 2026: 17 closed Cardinal Hills Estates records over the prior year, in ZIP 78734. 6 subdivision spellings kept: Cardinal Hills Estates Unit 15 (10); Cardinal Hills Estates Unit 14 (2); Cardinal Hills Estates Unit 11 (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 October 26, 2025 to October 25, 2026 inclusive.
The data
17 single-family sales in the window: 16 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
16 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 $551K”.
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 $551K: $324,100–$522,500 (4 sales); $551K–$620K: $551,000–$620,000 (4 sales); $625K–$690K: $625,000–$690,000 (3 sales); Over $690K: $700,000–$1,043,500 (5 sales)
Quartiles by living area: Under 2,090 SF: 1,271–2,085 SF (4 sales); 2,090–2,407 SF: 2,090–2,407 SF (4 sales); 2,644–2,886 SF: 2,644–2,886 SF (3 sales); Over 2,886 SF: 2,902–3,707 SF (5 sales)
Quartiles by year built: Before 2004: 1998–2001 (3 sales); 2004–2005: 2004–2005 (6 sales); 2007–2008: 2007–2008 (3 sales); After 2008: 2010–2020 (4 sales)
View and no view: View: MLS lists a view (8 sales); No view: None or Neighborhood (7 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 $639,331, median $622,500. Days on market: average 131, median 58: 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 = 37.50—0.2972p < 0.0063Unclearrank-biserial r = 0.339medium
Net price per SFMann–Whitney UU = 26.00—0.8665p < 0.0063Unclearrank-biserial r = 0.071negligible
Living areaMann–Whitney UU = 33.00—0.6022p < 0.0063Unclearrank-biserial r = 0.179small
Year builtMann–Whitney UU = 22.50—0.5607p < 0.0063Unclearrank-biserial r = 0.196small
Days on marketMann–Whitney UU = 37.00—0.3248p < 0.0063Unclearrank-biserial r = 0.321medium
Discount from original listMann–Whitney UU = 37.00—0.3357p < 0.0063Unclearrank-biserial r = 0.321medium
Price cut before saleChi-squareχ² = 0.1310.7144p < 0.0063UnclearCramér’s V = 0.094negligible
Seller paid closing costs or repairsChi-squareχ² = 1.7310.1888p < 0.0063UnclearCramér’s V = 0.339medium

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 16 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 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.