ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Cherry Creek

Austin, TX 78745 · 78748
Resale homes · closed Oct 27 – Oct 26, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
October 27, 2026 · 7:14 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
98
single-family resale homes
Median net sale price
$499,000
average $498,119
Median net price per SF
$306
average $316
Median days on market
38 days
average 65 days
1. SummaryResale homes · 98 sales · October 27, 2025 – October 26, 2026

This study looks at the 98 resale homes sold in Cherry Creek in the 365 days to October 26, 2026. A full year is used because only 51 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 sold98 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 $420K · 24 sales$420K–$492K · 24 sales$499K–$580K · 26 salesOver $580K · 24 sales
3. Quartiles by net sale priceResale homes · 98 sales · October 27, 2025 – October 26, 2026

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

2026-10-27T07:14:42.681536 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 24 24 26 24 98 sales Sales per group Under $420K: 24 sales (24%) $420K–$492K: 24 sales (24%) $499K–$580K: 26 sales (27%) Over $580K: 24 sales (24%)
Bottom line

3.1 Key differences

The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.

Under $420K$420K–$492K$499K–$580KOver $580K
Higher-priced homes Over $580K
  • Sell for more per square foot.
  • Sell closer to their first asking price.
Lower-priced homes Under $420K
  • Sell for less per square foot.
  • Sell further below their first asking price.

3.2 At a glance

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

Under $420K$420K–$492K$499K–$580KOver $580KReal difference?
Net price per SF$252 per SFLowest$295 per SF$335 per SF$380 per SFHighest✓ large
Living area1,468 SF1,576 SF1,660 SF1,721 SFunclear
Year built1985197619761978unclear
Days on market56 days36 days38 days14 daysunclear
Discount from original list10.9%Biggest8.9%5.9%4.1%Smallest✓ large
Price cut before sale50%29%46%33%unclear
Seller paid closing costs or repairs46%54%58%62%unclear
Has a view25%21%12%25%unclear

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

3.3 Homes over $580K sell for about $128 per SF (51%) more than homes under $420K

2026-10-27T07:14:42.710040 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $420K 24 sales $420K– $492K 24 sales $499K– $580K 26 sales Over $580K 24 sales $0 $200 $400 $252 $295 $335 $380 Net price per SF, average

The average is $380 per SF for homes over $580K and $252 per SF for homes under $420K. It rises step by step from the lowest range to the highest. Defined in 8.1.2.

✓ Real difference · large

3.4 Living area: no clear difference

2026-10-27T07:14:42.732228 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $420K 24 sales $420K– $492K 24 sales $499K– $580K 26 sales Over $580K 24 sales 0 1,000 2,000 1,468 1,576 1,660 1,721 Living area (SF), average

The average is 1,721 SF for homes over $580K and 1,468 SF for homes under $420K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

– No clear difference · could be chance

3.5 Year built: no clear difference

2026-10-27T07:14:42.756128 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $420K 24 sales $420K– $492K 24 sales $499K– $580K 26 sales Over $580K 24 sales 1975 1980 1985 1990 1985 1976 1976 1978 Year built: median (dot) and middle half (bar)

The median is 1978 for homes over $580K and 1985 for homes under $420K. It does not move in a straight line; homes under $420K are highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-10-27T07:14:42.778996 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $420K 24 sales $420K– $492K 24 sales $499K– $580K 26 sales Over $580K 24 sales 0 20 40 60 56 36 38 14 Days on market, median

The median is 14 days for homes over $580K and 56 days for homes under $420K. It does not move in a straight line; homes under $420K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Homes over $580K sell about 7 percentage points closer to their first asking price than homes under $420K

2026-10-27T07:14:42.801455 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $420K 24 sales $420K– $492K 24 sales $499K– $580K 26 sales Over $580K 24 sales 0.0% 5.0% 10.0% 10.9% 8.9% 5.9% 4.1% Discount from original list, average

The average is 4.1% for homes over $580K and 10.9% for homes under $420K. It falls step by step from the lowest range to the highest. Defined in 8.1.6.

✓ Real difference · large

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

2026-10-27T07:14:42.831423 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 50 46 25 29 54 21 46 58 12 33 62 25 Under $420K $420K–$492K $499K–$580K Over $580K

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

  • 33% of homes over $580K had a price cut before sale, against 50% of homes under $420K. Defined in 8.1.7.
  • 62% of homes over $580K had the seller pay closing costs or repairs, against 46% of homes under $420K. Defined in 8.1.8.
  • 25% of homes over $580K have a view, against 25% of homes under $420K. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance

3.9 The numbers: price and size

Under $420K24 sales$420K–$492K24 sales$499K–$580K26 salesOver $580K24 salesAll98 salesReal difference?
Net sale price average$359,046$450,065$540,678$639,140$498,119by design
Net price per SF average$252$295$335$380$316✓ large
Living area average1,4681,5761,6601,7211,607unclear
Year built median19851976197619781977unclear

3.10 The numbers: selling

Under $420K24 sales$420K–$492K24 sales$499K–$580K26 salesOver $580K24 salesAll98 salesReal difference?
Days on market median5636381438unclear
Discount from original list average10.9%8.9%5.9%4.1%7.4%✓ large
Price cut before sale50%29%46%33%40%unclear
Seller paid closing costs or repairs46%54%58%62%55%unclear
Has a view25%21%12%25%20%unclear

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.1.

4. Quartiles by living areaResale homes · 98 sales · October 27, 2025 – October 26, 2026

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

2026-10-27T07:14:42.852760 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 24 25 25 24 98 sales Sales per group Under 1,399 SF: 24 sales (24%) 1,399–1,572 SF: 25 sales (26%) 1,575–1,830 SF: 25 sales (26%) Over 1,830 SF: 24 sales (24%)
Bottom line

4.1 Key differences

The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.

Under 1,399 SF1,399–1,572 SF1,575–1,830 SFOver 1,830 SF
Larger homes Over 1,830 SF
  • Tend to be newer.
  • Sell for less per square foot.
  • Sell for much more.
Smaller homes Under 1,399 SF
  • Tend to be older.
  • Sell for more per square foot.
  • Sell for much less.

4.2 At a glance

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

Under 1,399 SF1,399–1,572 SF1,575–1,830 SFOver 1,830 SFReal difference?
Net sale price$428KLowest$525K$488K$550KHighest✓ large
Net price per SF$340 per SF$356 per SFHighest$292 per SF$274 per SFLowest✓ large
Year built1974Oldest197619811992Newest✓ large
Days on market40 days25 days45 days30 daysunclear
Discount from original list8.3%6.4%7.1%8.0%unclear
Price cut before sale42%44%36%38%unclear
Seller paid closing costs or repairs58%60%48%54%unclear
Has a view25%16%20%21%unclear

4.3 Homes over 1,830 SF sell for about $122K (29%) more than homes under 1,399 SF

2026-10-27T07:14:42.873603 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,399 SF 24 sales 1,399– 1,572 SF 25 sales 1,575– 1,830 SF 25 sales Over 1,830 SF 24 sales $0K $200K $400K $600K $428K $525K $488K $550K Net sale price, average

The average is $550K for homes over 1,830 SF and $428K for homes under 1,399 SF. It does not move in a straight line; homes over 1,830 SF are highest. Defined in 8.1.1.

✓ Real difference · large

4.4 Homes over 1,830 SF sell for about $65 per SF (19%) less than homes under 1,399 SF

2026-10-27T07:14:42.896895 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,399 SF 24 sales 1,399– 1,572 SF 25 sales 1,575– 1,830 SF 25 sales Over 1,830 SF 24 sales $0 $200 $400 $340 $356 $292 $274 Net price per SF, average

The average is $274 per SF for homes over 1,830 SF and $340 per SF for homes under 1,399 SF. It does not move in a straight line; homes 1,399–1,572 SF are highest. Defined in 8.1.2.

✓ Real difference · large

4.5 Homes over 1,830 SF are about 18 years newer than homes under 1,399 SF

2026-10-27T07:14:42.920837 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,399 SF 24 sales 1,399– 1,572 SF 25 sales 1,575– 1,830 SF 25 sales Over 1,830 SF 24 sales 1974 1980 1986 1992 1974 1976 1981 1992 Year built: median (dot) and middle half (bar)

The median is 1992 for homes over 1,830 SF and 1974 for homes under 1,399 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.4.

✓ Real difference · large

4.6 Days on market: no clear difference

2026-10-27T07:14:42.944465 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,399 SF 24 sales 1,399– 1,572 SF 25 sales 1,575– 1,830 SF 25 sales Over 1,830 SF 24 sales 0 20 40 40 25 45 30 Days on market, median

The median is 30 days for homes over 1,830 SF and 40 days for homes under 1,399 SF. It does not move in a straight line; homes 1,575–1,830 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-27T07:14:42.967255 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,399 SF 24 sales 1,399– 1,572 SF 25 sales 1,575– 1,830 SF 25 sales Over 1,830 SF 24 sales 0.0% 2.5% 5.0% 7.5% 8.3% 6.4% 7.1% 8.0% Discount from original list, average

The average is 8.0% for homes over 1,830 SF and 8.3% for homes under 1,399 SF. It does not move in a straight line; homes under 1,399 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

2026-10-27T07:14:42.994935 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% 42 58 25 44 60 16 36 48 20 38 54 21 Under 1,399 SF 1,399–1,572 SF 1,575–1,830 SF Over 1,830 SF

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

  • 38% of homes over 1,830 SF had a price cut before sale, against 42% of homes under 1,399 SF. Defined in 8.1.7.
  • 54% of homes over 1,830 SF had the seller pay closing costs or repairs, against 58% of homes under 1,399 SF. Defined in 8.1.8.
  • 21% of homes over 1,830 SF have a view, against 25% of homes under 1,399 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 1,399 SF24 sales1,399–1,572 SF25 sales1,575–1,830 SF25 salesOver 1,830 SF24 salesAll98 salesReal difference?
Net sale price average$427,960$525,252$488,288$550,255$498,119✓ large
Net price per SF average$340$356$292$274$316✓ large
Living area average1,2621,4751,6742,0201,607by design
Year built median19741976198119921977✓ large

4.10 The numbers: selling

Under 1,399 SF24 sales1,399–1,572 SF25 sales1,575–1,830 SF25 salesOver 1,830 SF24 salesAll98 salesReal difference?
Days on market median4025453038unclear
Discount from original list average8.3%6.4%7.1%8.0%7.4%unclear
Price cut before sale42%44%36%38%40%unclear
Seller paid closing costs or repairs58%60%48%54%55%unclear
Has a view25%16%20%21%20%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 · 98 sales · October 27, 2025 – October 26, 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.

2026-10-27T07:14:43.016251 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 20 30 24 24 98 sales Sales per group Before 1973: 20 sales (20%) 1973–1977: 30 sales (31%) 1978–1988: 24 sales (24%) After 1988: 24 sales (24%)
Bottom line

5.1 Key differences

The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.

Before 19731973–19771978–1988After 1988
Newer homes After 1988
  • Are much larger.
  • Sell for less per square foot.
Older homes Before 1973
  • Are much smaller.
  • Sell for more per square foot.

5.2 At a glance

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

Before 19731973–19771978–1988After 1988Real difference?
Net sale price$510K$499K$516K$469Kunclear
Net price per SF$342 per SFHighest$341 per SF$316 per SF$261 per SFLowest✓ large
Living area1,524 SF1,482 SFSmallest1,643 SF1,798 SFLargest✓ large
Days on market40 days32 days46 days38 daysunclear
Discount from original list9.7%7.2%7.6%5.6%unclear
Price cut before sale50%33%50%29%unclear
Seller paid closing costs or repairs60%50%54%58%unclear
Has a view35%10%17%25%unclear

5.3 Net sale price: no clear difference

2026-10-27T07:14:43.037082 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1973 20 sales 1973– 1977 30 sales 1978– 1988 24 sales After 1988 24 sales $0K $200K $400K $600K $510K $499K $516K $469K Net sale price, average

The average is $469K for homes built after 1988 and $510K for homes built before 1973. It does not move in a straight line; homes built 1978–1988 are highest. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Homes built after 1988 sell for about $81 per SF (24%) less than homes built before 1973

2026-10-27T07:14:43.060464 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1973 20 sales 1973– 1977 30 sales 1978– 1988 24 sales After 1988 24 sales $0 $200 $400 $342 $341 $316 $261 Net price per SF, average

The average is $261 per SF for homes built after 1988 and $342 per SF for homes built before 1973. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

✓ Real difference · large

5.5 Homes built after 1988 are about 270 SF (18%) larger than homes built before 1973

2026-10-27T07:14:43.082232 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1973 20 sales 1973– 1977 30 sales 1978– 1988 24 sales After 1988 24 sales 0 1,000 2,000 1,524 1,482 1,643 1,798 Living area (SF), average

The average is 1,798 SF for homes built after 1988 and 1,524 SF for homes built before 1973. It does not move in a straight line; homes built after 1988 are highest. Defined in 8.1.3.

✓ Real difference · large

5.6 Days on market: no clear difference

2026-10-27T07:14:43.104255 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1973 20 sales 1973– 1977 30 sales 1978– 1988 24 sales After 1988 24 sales 0 20 40 40 32 46 38 Days on market, median

The median is 38 days for homes built after 1988 and 40 days for homes built before 1973. It does not move in a straight line; homes built 1978–1988 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-10-27T07:14:43.127539 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1973 20 sales 1973– 1977 30 sales 1978– 1988 24 sales After 1988 24 sales 0.0% 5.0% 10.0% 9.7% 7.2% 7.6% 5.6% Discount from original list, average

The average is 5.6% for homes built after 1988 and 9.7% for homes built before 1973. It does not move in a straight line; homes built before 1973 are highest. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-10-27T07:14:43.153552 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 50 60 35 33 50 10 50 54 17 29 58 25 Before 1973 1973–1977 1978–1988 After 1988

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

  • 29% of homes built after 1988 had a price cut before sale, against 50% of homes built before 1973. Defined in 8.1.7.
  • 58% of homes built after 1988 had the seller pay closing costs or repairs, against 60% of homes built before 1973. Defined in 8.1.8.
  • 25% of homes built after 1988 have a view, against 35% of homes built before 1973. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance

5.9 The numbers: price and size

Before 197320 sales1973–197730 sales1978–198824 salesAfter 198824 salesAll98 salesReal difference?
Net sale price average$509,825$499,312$515,598$469,392$498,119unclear
Net price per SF average$342$341$316$261$316✓ large
Living area average1,5241,4821,6431,7981,607✓ large
Year built median19691975198119951977by design

5.10 The numbers: selling

Before 197320 sales1973–197730 sales1978–198824 salesAfter 198824 salesAll98 salesReal difference?
Days on market median4032463838unclear
Discount from original list average9.7%7.2%7.6%5.6%7.4%unclear
Price cut before sale50%33%50%29%40%unclear
Seller paid closing costs or repairs60%50%54%58%55%unclear
Has a view35%10%17%25%20%unclear

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.3.

6. View and no viewResale homes · 98 sales · October 27, 2025 – October 26, 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. 2 sales whose MLS view entry is only “See Remarks” are left out.

2026-10-27T07:14:43.173110 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 20 76 96 sales Sales per group View: 20 sales (21%) No view: 76 sales (79%)
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$496K$499Kunclear
Net price per SF$314 per SF$317 per SFunclear
Living area1,619 SF1,601 SFunclear
Year built19771977unclear
Days on market30 days41 daysunclear
Discount from original list5.6%7.8%unclear
Price cut before sale30%43%unclear
Seller paid closing costs or repairs50%57%unclear

6.3 Net sale price: no clear difference

2026-10-27T07:14:43.189835 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 20 sales No view 76 sales $0K $200K $400K $496K $499K Net sale price, average

The average is $496K for homes with a view and $499K 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

2026-10-27T07:14:43.207735 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 20 sales No view 76 sales $0 $100 $200 $300 $314 $317 Net price per SF, average

The average is $314 per SF for homes with a view and $317 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

2026-10-27T07:14:43.226532 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 20 sales No view 76 sales 0 500 1,000 1,500 1,619 1,601 Living area (SF), average

The average is 1,619 SF for homes with a view and 1,601 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-27T07:14:43.271051 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 20 sales No view 76 sales 1975 1980 1985 1990 1977 1977 Year built: median (dot) and middle half (bar)

The median is 1977 for homes with a view and 1977 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-27T07:14:43.289510 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 20 sales No view 76 sales 0 10 20 30 40 30 41 Days on market, median

The median is 30 days for homes with a view and 41 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

2026-10-27T07:14:43.309345 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 20 sales No view 76 sales 0.0% 2.0% 4.0% 6.0% 8.0% 5.6% 7.8% Discount from original list, average

The average is 5.6% for homes with a view and 7.8% 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

2026-10-27T07:14:43.328688 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 30 50 43 57 View No view

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

  • 30% of homes with a view had a price cut before sale, against 43% of homes without a view. Defined in 8.1.7.
  • 50% of homes with a view had the seller pay closing costs or repairs, against 57% of homes without a view. Defined in 8.1.8.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance

6.10 The numbers: price and size

View20 salesNo view76 salesAll96 salesReal difference?
Net sale price average$496,165$498,782$498,237unclear
Net price per SF average$314$317$316unclear
Living area average1,6191,6011,604unclear
Year built median197719771977unclear

6.11 The numbers: selling

View20 salesNo view76 salesAll96 salesReal difference?
Days on market median304140unclear
Discount from original list average5.6%7.8%7.4%unclear
Price cut before sale30%43%41%unclear
Seller paid closing costs or repairs50%57%55%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 27, 2025 – October 26, 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 Cherry Creek.

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
98 resale sales. Average $498,119; median $499,000; standard deviation $110,874; middle half (25th–75th percentile) $420,354–$579,616; lowest $245,000, highest $797,500. 54 sales had a seller payment; their median payment was $8,400.

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
98 resale sales. Average $316; median $306; standard deviation $73; middle half (25th–75th percentile) $270–$363; lowest $134, highest $504.

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
98 resale sales. Average 1,607; median 1,574; standard deviation 294; middle half (25th–75th percentile) 1,402–1,825; lowest 1,072, highest 2,365.

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
98 resale sales. Average 1980; median 1977; standard deviation 10; middle half (25th–75th percentile) 1973–1988; lowest 1965, highest 1998.

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
98 resale sales. Average 65; median 38; standard deviation 76; middle half (25th–75th percentile) 9–92; lowest 2, highest 365. 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
98 resale sales. Average 7.4%; median 6.0%; standard deviation 7.4%; middle half (25th–75th percentile) 2.1%–11.5%; lowest −4.8%, highest 39.7%. 7 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
39 of 98 resale sales (39.8%).

8.1.8 Seller paid closing costs or repairs

In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
54 of 98 resale sales (55.1%).

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
20 sales with a view, 76 without, 2 unclassified. Most common View entries: None 55, Neighborhood 28, Park/Greenbelt 12, Trees/Woods 10, Creek/Stream 2, Hill Country 1, See Remarks 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 “cherry creek”, “cherry crk” (case-insensitive). A record is kept when its subdivision name belongs to the Cherry Creek family, the same rule comparable sales use.
The data
Pulled October 27, 2026: 99 closed Cherry Creek records over the prior year, in ZIP 78745, 78748. 37 subdivision spellings kept, the most common: Cherry Creek Ph 07 Sec 03 (7); Cherry Creek (7); Cherry Creek Sec 14 (5); Cherry Creek Ph 03 Sec 03 (5); Cherry Creek Sec 09-A (5); Cherry Creek Ph 06 Sec 01 (5); Cherry Creek Sec 10-A (4); Cherry Creek Ph 07 Sec 02 (4); Cherry Creek 02 (4); Cherry Creek Sec 11 (4); Cherry Creek Ph 07 Sec 01 Amd (4); Cherry Creek Ph 02 Sec 01 (3); and 25 more (42 records). Names found by the search but not part of Cherry Creek, left out: Western Hills At Cherry Creek (5); Cherry Creek V (2).

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 51 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 27, 2025 to October 26, 2026 inclusive.
The data
98 single-family sales in the window: 98 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
98 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
1 sale(s) other than single-family homes (condo, townhome and similar)

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 $420K”.
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 $420K: $245,000–$409,900 (24 sales); $420K–$492K: $419,900–$492,000 (24 sales); $499K–$580K: $499,000–$579,988 (26 sales); Over $580K: $582,500–$797,500 (24 sales)
Quartiles by living area: Under 1,399 SF: 1,072–1,389 SF (24 sales); 1,399–1,572 SF: 1,399–1,572 SF (25 sales); 1,575–1,830 SF: 1,575–1,830 SF (25 sales); Over 1,830 SF: 1,848–2,365 SF (24 sales)
Quartiles by year built: Before 1973: 1965–1972 (20 sales); 1973–1977: 1973–1977 (30 sales); 1978–1988: 1978–1988 (24 sales); After 1988: 1989–1998 (24 sales)
View and no view: View: MLS lists a view (20 sales); No view: None or Neighborhood (76 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 $498,119, median $499,000. Days on market: average 65, median 38: the average is pulled up by a few long listings.

8.2.7 Kruskal–Wallis test

In simple terms
Checks whether a measure really differs across the four groups of a slice. It uses each sale's rank, not its value, so a few extreme sales cannot drive the answer.
Statistically
H = [12/(n(n+1))] Σ Rⱼ²/nⱼ − 3(n+1), compared with χ² on k − 1 degrees of freedom (Kruskal & Wallis, 1952). Effect size ε² = H/(n − 1): ≥ .01 small, ≥ .06 medium, ≥ .14 large (Tomczak & Tomczak, 2014). A slice is tested only when every group has at least 5 sales; smaller groups are described, not tested.
The data
Run on every measure in sections 3–5; each result is in 8.3.

8.2.8 Mann–Whitney U test

In simple terms
The same check when there are only two groups: view against no view.
Statistically
Two-sided U test (Mann & Whitney, 1947). Effect size = rank-biserial correlation |1 − 2U/(n₁n₂)|: ≥ .10 small, ≥ .30 medium, ≥ .50 large (Kerby, 2014; Cohen, 1988).
The data
Run on every measure in section 6; results in 8.3.

8.2.9 Chi-square test

In simple terms
Checks whether a yes/no share (price cut, seller payment, view) differs between groups more than chance would.
Statistically
Pearson χ² on the 2 × k table of counts, no continuity correction (Pearson, 1900). Effect size Cramér's V = √(χ²/n): ≥ .10 small, ≥ .30 medium, ≥ .50 large (Cramér, 1946).
The data
Run on the three shares in every slice; results in 8.3.

8.2.10 Real difference (significance)

In simple terms
“Real difference” means a gap this large would be very unlikely if the groups were really alike. Because many measures are checked in each slice, the bar is set higher than usual.
Statistically
Significant when p < 0.05 ÷ m, where m is the number of measures tested in that slice (Bonferroni; Dunn, 1961). The slicing variable itself differs by design and is not tested.
The data
Quartiles by net sale price: m = 8, threshold p < 0.0063; Quartiles by living area: m = 8, threshold p < 0.0063; Quartiles by year built: m = 8, threshold p < 0.0063; View and no view: m = 8, threshold p < 0.0063

8.2.11 Size of a difference

In simple terms
A difference can be real but small. The size word (small, medium, large) says how much the groups pull apart.
Statistically
ε² for Kruskal–Wallis, rank-biserial r for Mann–Whitney, Cramér's V for chi-square, with the thresholds above; below the small threshold the size is “negligible”.
The data
7 real differences across the four slices; sizes are listed in 8.3.

8.2.12 Rounding in the text

In simple terms
Headings and sentences round figures so they read easily; the tables at the end of each section give them in full.
Statistically
Prices in headings round to the nearest $1K; price per SF and days on market to the nearest whole number; living area to the nearest 10 SF; shares and percentage gaps to whole percents.
The data
Days on market is always shown in days.

8.3 Test results

Every test behind every gold box. Statistic, degrees of freedom (df), p-value, the threshold it must beat, and the size of the difference.

8.3.1 Quartiles by net sale price

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net price per SFKruskal–WallisH = 39.773< 0.0001p < 0.0063Yesε² = 0.410large
Living areaKruskal–WallisH = 10.2830.0163p < 0.0063Unclearε² = 0.106medium
Year builtKruskal–WallisH = 5.2530.1541p < 0.0063Unclearε² = 0.054small
Days on marketKruskal–WallisH = 6.1930.1028p < 0.0063Unclearε² = 0.064medium
Discount from original listKruskal–WallisH = 15.2330.0016p < 0.0063Yesε² = 0.157large
Price cut before saleChi-squareχ² = 3.0330.3867p < 0.0063UnclearCramér’s V = 0.176small
Seller paid closing costs or repairsChi-squareχ² = 1.4430.6954p < 0.0063UnclearCramér’s V = 0.121small
Has a viewChi-squareχ² = 1.8930.5966p < 0.0063UnclearCramér’s V = 0.139small

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 16.1030.0011p < 0.0063Yesε² = 0.166large
Net price per SFKruskal–WallisH = 20.4630.0001p < 0.0063Yesε² = 0.211large
Year builtKruskal–WallisH = 21.983< 0.0001p < 0.0063Yesε² = 0.227large
Days on marketKruskal–WallisH = 0.6830.8775p < 0.0063Unclearε² = 0.007negligible
Discount from original listKruskal–WallisH = 0.9630.8105p < 0.0063Unclearε² = 0.010negligible
Price cut before saleChi-squareχ² = 0.4230.9355p < 0.0063UnclearCramér’s V = 0.066negligible
Seller paid closing costs or repairsChi-squareχ² = 0.8630.8346p < 0.0063UnclearCramér’s V = 0.094negligible
Has a viewChi-squareχ² = 0.6230.8928p < 0.0063UnclearCramér’s V = 0.079negligible

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 1.9730.5779p < 0.0063Unclearε² = 0.020small
Net price per SFKruskal–WallisH = 21.233< 0.0001p < 0.0063Yesε² = 0.219large
Living areaKruskal–WallisH = 21.663< 0.0001p < 0.0063Yesε² = 0.223large
Days on marketKruskal–WallisH = 0.0730.9955p < 0.0063Unclearε² = 0.001negligible
Discount from original listKruskal–WallisH = 2.3630.5016p < 0.0063Unclearε² = 0.024small
Price cut before saleChi-squareχ² = 3.5730.3122p < 0.0063UnclearCramér’s V = 0.191small
Seller paid closing costs or repairsChi-squareχ² = 0.6230.8920p < 0.0063UnclearCramér’s V = 0.079negligible
Has a viewChi-squareχ² = 5.1430.1618p < 0.0063UnclearCramér’s V = 0.229small

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 744.50—0.8924p < 0.0063Unclearrank-biserial r = 0.020negligible
Net price per SFMann–Whitney UU = 740.00—0.8604p < 0.0063Unclearrank-biserial r = 0.026negligible
Living areaMann–Whitney UU = 773.00—0.9102p < 0.0063Unclearrank-biserial r = 0.017negligible
Year builtMann–Whitney UU = 740.00—0.8602p < 0.0063Unclearrank-biserial r = 0.026negligible
Days on marketMann–Whitney UU = 648.50—0.3164p < 0.0063Unclearrank-biserial r = 0.147small
Discount from original listMann–Whitney UU = 656.50—0.3528p < 0.0063Unclearrank-biserial r = 0.136small
Price cut before saleChi-squareχ² = 1.1810.2769p < 0.0063UnclearCramér’s V = 0.111small
Seller paid closing costs or repairsChi-squareχ² = 0.2810.5986p < 0.0063UnclearCramér’s V = 0.054negligible

8.4 Data notes

Left out of the analysis: 0 new-construction sales (basic statistics only, section 7); 1 sale(s) other than single-family homes (condo, townhome and similar). 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 98 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 27, 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.