ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Cherry Creek

Austin, TX 78745 · 78748
Resale homes · closed Oct 31 – Oct 30, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
October 31, 2026 · 7:18 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
99
single-family resale homes
Median net sale price
$499,000
average $495,613
Median net price per SF
$304
average $315
Median days on market
36 days
average 64 days
1. SummaryResale homes · 99 sales · October 31, 2025 – October 30, 2026

This study looks at the 99 resale homes sold in Cherry Creek in the 365 days to October 30, 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 sold99 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 · 25 sales$420K–$492K · 24 sales$499K–$578K · 25 salesOver $578K · 25 sales
3. Quartiles by net sale priceResale homes · 99 sales · October 31, 2025 – October 30, 2026

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

2026-10-31T07:18:36.731273 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 25 24 25 25 99 sales Sales per group Under $420K: 25 sales (25%) $420K–$492K: 24 sales (24%) $499K–$578K: 25 sales (25%) Over $578K: 25 sales (25%)
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–$578KOver $578K
Higher-priced homes Over $578K
  • 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–$578KOver $578KReal difference?
Net price per SF$250 per SFLowest$295 per SF$334 per SF$379 per SFHighest✓ large
Living area1,454 SF1,576 SF1,661 SF1,717 SFunclear
Year built1984197619761979unclear
Days on market54 days36 days40 days12 daysunclear
Discount from original list10.7%Biggest8.9%6.0%4.1%Smallest✓ large
Price cut before sale48%29%48%32%unclear
Seller paid closing costs or repairs44%54%56%64%unclear
Has a view24%21%12%24%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 $578K sell for about $128 per SF (51%) more than homes under $420K

2026-10-31T07:18:36.763170 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $420K 25 sales $420K– $492K 24 sales $499K– $578K 25 sales Over $578K 25 sales $0 $200 $400 $250 $295 $334 $379 Net price per SF, average

The average is $379 per SF for homes over $578K and $250 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

2026-10-31T07:18:36.788212 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $420K 25 sales $420K– $492K 24 sales $499K– $578K 25 sales Over $578K 25 sales 0 1,000 2,000 1,454 1,576 1,661 1,717 Living area (SF), average

The average is 1,717 SF for homes over $578K and 1,454 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

2026-10-31T07:18:36.815015 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $420K 25 sales $420K– $492K 24 sales $499K– $578K 25 sales Over $578K 25 sales 1975 1980 1985 1990 1984 1976 1976 1979 Year built: median (dot) and middle half (bar)

The median is 1979 for homes over $578K and 1984 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

2026-10-31T07:18:36.841584 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $420K 25 sales $420K– $492K 24 sales $499K– $578K 25 sales Over $578K 25 sales 0 20 40 60 54 36 40 12 Days on market, median

The median is 12 days for homes over $578K and 54 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 $578K sell about 7 percentage points closer to their first asking price than homes under $420K

2026-10-31T07:18:36.867785 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $420K 25 sales $420K– $492K 24 sales $499K– $578K 25 sales Over $578K 25 sales 0.0% 5.0% 10.0% 10.7% 8.9% 6.0% 4.1% Discount from original list, average

The average is 4.1% for homes over $578K and 10.7% 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

2026-10-31T07:18:36.911587 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% 48 44 24 29 54 21 48 56 12 32 64 24 Under $420K $420K–$492K $499K–$578K Over $578K

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

  • 32% of homes over $578K had a price cut before sale, against 48% of homes under $420K. Defined in 8.1.7.
  • 64% of homes over $578K had the seller pay closing costs or repairs, against 44% of homes under $420K. Defined in 8.1.8.
  • 24% of homes over $578K have a view, against 24% 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 $420K25 sales$420K–$492K24 sales$499K–$578K25 salesOver $578K25 salesAll99 salesReal difference?
Net sale price average$354,684$450,065$539,106$636,774$495,613by design
Net price per SF average$250$295$334$379$315✓ large
Living area average1,4541,5761,6611,7171,602unclear
Year built median19841976197619791977unclear

3.10 The numbers: selling

Under $420K25 sales$420K–$492K24 sales$499K–$578K25 salesOver $578K25 salesAll99 salesReal difference?
Days on market median5436401236unclear
Discount from original list average10.7%8.9%6.0%4.1%7.4%✓ large
Price cut before sale48%29%48%32%39%unclear
Seller paid closing costs or repairs44%54%56%64%55%unclear
Has a view24%21%12%24%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 · 99 sales · October 31, 2025 – October 30, 2026

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

2026-10-31T07:18:36.937956 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 25 25 24 25 99 sales Sales per group Under 1,399 SF: 25 sales (25%) 1,399–1,572 SF: 25 sales (25%) 1,575–1,809 SF: 24 sales (24%) Over 1,809 SF: 25 sales (25%)
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 SF1,575–1,809 SFOver 1,809 SF
Larger homes Over 1,809 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 SF1,575–1,809 SFOver 1,809 SFReal difference?
Net sale price$421KLowest$525K$491K$545KHighest✓ large
Net price per SF$335 per SF$356 per SFHighest$295 per SF$273 per SFLowest✓ large
Year built1974Oldest197619811992Newest✓ large
Days on market40 days25 days46 days25 daysunclear
Discount from original list8.1%6.4%6.8%8.2%unclear
Price cut before sale40%44%38%36%unclear
Seller paid closing costs or repairs56%60%50%52%unclear
Has a view24%16%21%20%unclear

4.3 Homes over 1,809 SF sell for about $125K (30%) more than homes under 1,399 SF

2026-10-31T07:18:36.964788 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,399 SF 25 sales 1,399– 1,572 SF 25 sales 1,575– 1,809 SF 24 sales Over 1,809 SF 25 sales $0K $200K $400K $600K $421K $525K $491K $545K Net sale price, average

The average is $545K for homes over 1,809 SF and $421K for homes under 1,399 SF. It does not move in a straight line; homes over 1,809 SF are highest. Defined in 8.1.1.

✓ Real difference · large

4.4 Homes over 1,809 SF sell for about $62 per SF (19%) less than homes under 1,399 SF

2026-10-31T07:18:36.997614 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,399 SF 25 sales 1,399– 1,572 SF 25 sales 1,575– 1,809 SF 24 sales Over 1,809 SF 25 sales $0 $200 $400 $335 $356 $295 $273 Net price per SF, average

The average is $273 per SF for homes over 1,809 SF and $335 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 1,809 SF are about 18 years newer than homes under 1,399 SF

2026-10-31T07:18:37.027780 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,399 SF 25 sales 1,399– 1,572 SF 25 sales 1,575– 1,809 SF 24 sales Over 1,809 SF 25 sales 1974 1980 1986 1992 1974 1976 1981 1992 Year built: median (dot) and middle half (bar)

The median is 1992 for homes over 1,809 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

2026-10-31T07:18:37.055131 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,399 SF 25 sales 1,399– 1,572 SF 25 sales 1,575– 1,809 SF 24 sales Over 1,809 SF 25 sales 0 20 40 40 25 46 25 Days on market, median

The median is 25 days for homes over 1,809 SF and 40 days for homes under 1,399 SF. It does not move in a straight line; homes 1,575–1,809 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-31T07:18:37.087071 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,399 SF 25 sales 1,399– 1,572 SF 25 sales 1,575– 1,809 SF 24 sales Over 1,809 SF 25 sales 0.0% 2.5% 5.0% 7.5% 8.1% 6.4% 6.8% 8.2% Discount from original list, average

The average is 8.2% for homes over 1,809 SF and 8.1% for homes under 1,399 SF. It does not move in a straight line; homes over 1,809 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

2026-10-31T07:18:37.119334 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 40 56 24 44 60 16 38 50 21 36 52 20 Under 1,399 SF 1,399–1,572 SF 1,575–1,809 SF Over 1,809 SF

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

  • 36% of homes over 1,809 SF had a price cut before sale, against 40% of homes under 1,399 SF. Defined in 8.1.7.
  • 52% of homes over 1,809 SF had the seller pay closing costs or repairs, against 56% of homes under 1,399 SF. Defined in 8.1.8.
  • 20% of homes over 1,809 SF have a view, against 24% 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 SF25 sales1,399–1,572 SF25 sales1,575–1,809 SF24 salesOver 1,809 SF25 salesAll99 salesReal difference?
Net sale price average$420,842$525,252$490,717$545,444$495,613✓ large
Net price per SF average$335$356$295$273$315✓ large
Living area average1,2561,4751,6682,0121,602by design
Year built median19741976198119921977✓ large

4.10 The numbers: selling

Under 1,399 SF25 sales1,399–1,572 SF25 sales1,575–1,809 SF24 salesOver 1,809 SF25 salesAll99 salesReal difference?
Days on market median4025462536unclear
Discount from original list average8.1%6.4%6.8%8.2%7.4%unclear
Price cut before sale40%44%38%36%39%unclear
Seller paid closing costs or repairs56%60%50%52%55%unclear
Has a view24%16%21%20%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 · 99 sales · October 31, 2025 – October 30, 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.

2026-10-31T07:18:37.141470 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 28 22 24 25 99 sales Sales per group Before 1974: 28 sales (28%) 1974–1977: 22 sales (22%) 1978–1986: 24 sales (24%) After 1986: 25 sales (25%)
Bottom line

5.1 Key differences

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

Before 19741974–19771978–1986After 1986
Newer homes After 1986
  • Sell for less per square foot.
  • Are much larger.
Older homes Before 1974
  • Sell for more per square foot.
  • Are much smaller.

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 19741974–19771978–1986After 1986Real difference?
Net sale price$514K$490K$510K$466Kunclear
Net price per SF$349 per SFHighest$333 per SF$314 per SF$261 per SFLowest✓ large
Living area1,513 SF1,480 SFSmallest1,633 SF1,780 SFLargest✓ large
Days on market32 days42 days46 days35 daysunclear
Discount from original list8.5%7.8%7.3%5.8%unclear
Price cut before sale46%32%50%28%unclear
Seller paid closing costs or repairs54%55%50%60%unclear
Has a view25%14%17%24%unclear

5.3 Net sale price: no clear difference

2026-10-31T07:18:37.163381 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1974 28 sales 1974– 1977 22 sales 1978– 1986 24 sales After 1986 25 sales $0K $200K $400K $600K $514K $490K $510K $466K Net sale price, average

The average is $466K for homes built after 1986 and $514K for homes built before 1974. It does not move in a straight line; homes built before 1974 are highest. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Homes built after 1986 sell for about $87 per SF (25%) less than homes built before 1974

2026-10-31T07:18:37.189837 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1974 28 sales 1974– 1977 22 sales 1978– 1986 24 sales After 1986 25 sales $0 $200 $400 $349 $333 $314 $261 Net price per SF, average

The average is $261 per SF for homes built after 1986 and $349 per SF for homes built before 1974. 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 1986 are about 270 SF (18%) larger than homes built before 1974

2026-10-31T07:18:37.212003 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1974 28 sales 1974– 1977 22 sales 1978– 1986 24 sales After 1986 25 sales 0 1,000 2,000 1,513 1,480 1,633 1,780 Living area (SF), average

The average is 1,780 SF for homes built after 1986 and 1,513 SF for homes built before 1974. It does not move in a straight line; homes built after 1986 are highest. Defined in 8.1.3.

✓ Real difference · large

5.6 Days on market: no clear difference

2026-10-31T07:18:37.235936 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1974 28 sales 1974– 1977 22 sales 1978– 1986 24 sales After 1986 25 sales 0 20 40 32 42 46 35 Days on market, median

The median is 35 days for homes built after 1986 and 32 days for homes built before 1974. It does not move in a straight line; homes built 1978–1986 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-10-31T07:18:37.260648 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1974 28 sales 1974– 1977 22 sales 1978– 1986 24 sales After 1986 25 sales 0.0% 5.0% 10.0% 8.5% 7.8% 7.3% 5.8% Discount from original list, average

The average is 5.8% for homes built after 1986 and 8.5% for homes built before 1974. It falls step by step from the lowest range to the 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

2026-10-31T07:18:37.287029 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% 46 54 25 32 55 14 50 50 17 28 60 24 Before 1974 1974–1977 1978–1986 After 1986

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

  • 28% of homes built after 1986 had a price cut before sale, against 46% of homes built before 1974. Defined in 8.1.7.
  • 60% of homes built after 1986 had the seller pay closing costs or repairs, against 54% of homes built before 1974. Defined in 8.1.8.
  • 24% of homes built after 1986 have a view, against 25% of homes built before 1974. 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 197428 sales1974–197722 sales1978–198624 salesAfter 198625 salesAll99 salesReal difference?
Net sale price average$514,269$489,834$510,463$465,546$495,613unclear
Net price per SF average$349$333$314$261$315✓ large
Living area average1,5131,4801,6331,7801,602✓ large
Year built median19711976198119951977by design

5.10 The numbers: selling

Before 197428 sales1974–197722 sales1978–198624 salesAfter 198625 salesAll99 salesReal difference?
Days on market median3242463536unclear
Discount from original list average8.5%7.8%7.3%5.8%7.4%unclear
Price cut before sale46%32%50%28%39%unclear
Seller paid closing costs or repairs54%55%50%60%55%unclear
Has a view25%14%17%24%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 · 99 sales · October 31, 2025 – October 30, 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.

2026-10-31T07:18:37.307428 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 20 77 97 sales Sales per group View: 20 sales (21%) No view: 77 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$496Kunclear
Net price per SF$314 per SF$316 per SFunclear
Living area1,619 SF1,594 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%56%unclear

6.3 Net sale price: no clear difference

2026-10-31T07:18:37.324083 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 20 sales No view 77 sales $0K $200K $400K $496K $496K Net sale price, average

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

2026-10-31T07:18:37.341944 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 20 sales No view 77 sales $0 $100 $200 $300 $314 $316 Net price per SF, average

The average is $314 per SF for homes with a view and $316 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

2026-10-31T07:18:37.360931 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 20 sales No view 77 sales 0 500 1,000 1,500 1,619 1,594 Living area (SF), average

The average is 1,619 SF for homes with a view and 1,594 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-31T07:18:37.451397 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 20 sales No view 77 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

2026-10-31T07:18:37.470954 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 20 sales No view 77 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

2026-10-31T07:18:37.491419 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 20 sales No view 77 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

2026-10-31T07:18:37.511631 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 56 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 56% 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 view77 salesAll97 salesReal difference?
Net sale price average$496,165$495,551$495,678unclear
Net price per SF average$314$316$315unclear
Living area average1,6191,5941,599unclear
Year built median197719771977unclear

6.11 The numbers: selling

View20 salesNo view77 salesAll97 salesReal difference?
Days on market median304139unclear
Discount from original list average5.6%7.8%7.3%unclear
Price cut before sale30%43%40%unclear
Seller paid closing costs or repairs50%56%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 31, 2025 – October 30, 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
99 resale sales. Average $495,613; median $499,000; standard deviation $113,090; middle half (25th–75th percentile) $414,900–$579,244; 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
99 resale sales. Average $315; median $304; standard deviation $73; middle half (25th–75th percentile) $269–$362; 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
99 resale sales. Average 1,602; median 1,572; standard deviation 297; middle half (25th–75th percentile) 1,394–1,820; 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
99 resale sales. Average 1980; median 1977; standard deviation 10; middle half (25th–75th percentile) 1973–1987; 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
99 resale sales. Average 64; median 36; standard deviation 76; middle half (25th–75th percentile) 8–90; 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
99 resale sales. Average 7.4%; median 6.0%; standard deviation 7.4%; middle half (25th–75th percentile) 2.2%–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 99 resale sales (39.4%).

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
54 of 99 resale sales (54.5%).

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, 77 without, 2 unclassified. Most common View entries: None 55, Neighborhood 29, 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 31, 2026: 100 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 05 (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); 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 31, 2025 to October 30, 2026 inclusive.
The data
99 single-family sales in the window: 99 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
99 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 (25 sales); $420K–$492K: $419,900–$492,000 (24 sales); $499K–$578K: $499,000–$578,500 (25 sales); Over $578K: $579,988–$797,500 (25 sales)
Quartiles by living area: Under 1,399 SF: 1,072–1,389 SF (25 sales); 1,399–1,572 SF: 1,399–1,572 SF (25 sales); 1,575–1,809 SF: 1,575–1,809 SF (24 sales); Over 1,809 SF: 1,830–2,365 SF (25 sales)
Quartiles by year built: Before 1974: 1965–1973 (28 sales); 1974–1977: 1974–1977 (22 sales); 1978–1986: 1978–1986 (24 sales); After 1986: 1988–1998 (25 sales)
View and no view: View: MLS lists a view (20 sales); No view: None or Neighborhood (77 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 $495,613, median $499,000. Days on market: average 64, median 36: 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 = 41.273< 0.0001p < 0.0063Yesε² = 0.421large
Living areaKruskal–WallisH = 11.4830.0094p < 0.0063Unclearε² = 0.117medium
Year builtKruskal–WallisH = 6.2230.1013p < 0.0063Unclearε² = 0.063medium
Days on marketKruskal–WallisH = 5.6530.1300p < 0.0063Unclearε² = 0.058small
Discount from original listKruskal–WallisH = 14.7930.0020p < 0.0063Yesε² = 0.151large
Price cut before saleChi-squareχ² = 3.1730.3654p < 0.0063UnclearCramér’s V = 0.179small
Seller paid closing costs or repairsChi-squareχ² = 2.0530.5630p < 0.0063UnclearCramér’s V = 0.144small
Has a viewChi-squareχ² = 1.5030.6831p < 0.0063UnclearCramér’s V = 0.123small

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 16.5030.0009p < 0.0063Yesε² = 0.168large
Net price per SFKruskal–WallisH = 19.8230.0002p < 0.0063Yesε² = 0.202large
Year builtKruskal–WallisH = 21.0130.0001p < 0.0063Yesε² = 0.214large
Days on marketKruskal–WallisH = 0.6630.8819p < 0.0063Unclearε² = 0.007negligible
Discount from original listKruskal–WallisH = 0.6530.8851p < 0.0063Unclearε² = 0.007negligible
Price cut before saleChi-squareχ² = 0.3830.9438p < 0.0063UnclearCramér’s V = 0.062negligible
Seller paid closing costs or repairsChi-squareχ² = 0.5930.8995p < 0.0063UnclearCramér’s V = 0.077negligible
Has a viewChi-squareχ² = 0.5030.9180p < 0.0063UnclearCramér’s V = 0.071negligible

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 2.7230.4367p < 0.0063Unclearε² = 0.028small
Net price per SFKruskal–WallisH = 21.883< 0.0001p < 0.0063Yesε² = 0.223large
Living areaKruskal–WallisH = 18.8630.0003p < 0.0063Yesε² = 0.192large
Days on marketKruskal–WallisH = 1.6030.6588p < 0.0063Unclearε² = 0.016small
Discount from original listKruskal–WallisH = 1.5030.6826p < 0.0063Unclearε² = 0.015small
Price cut before saleChi-squareχ² = 3.6030.3081p < 0.0063UnclearCramér’s V = 0.191small
Seller paid closing costs or repairsChi-squareχ² = 0.5130.9165p < 0.0063UnclearCramér’s V = 0.072negligible
Has a viewChi-squareχ² = 1.4030.7060p < 0.0063UnclearCramér’s V = 0.119small

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 764.50—0.9644p < 0.0063Unclearrank-biserial r = 0.007negligible
Net price per SFMann–Whitney UU = 758.00—0.9183p < 0.0063Unclearrank-biserial r = 0.016negligible
Living areaMann–Whitney UU = 793.00—0.8410p < 0.0063Unclearrank-biserial r = 0.030negligible
Year builtMann–Whitney UU = 747.00—0.8408p < 0.0063Unclearrank-biserial r = 0.030negligible
Days on marketMann–Whitney UU = 663.50—0.3443p < 0.0063Unclearrank-biserial r = 0.138small
Discount from original listMann–Whitney UU = 670.50—0.3773p < 0.0063Unclearrank-biserial r = 0.129small
Price cut before saleChi-squareχ² = 1.0910.2961p < 0.0063UnclearCramér’s V = 0.106small
Seller paid closing costs or repairsChi-squareχ² = 0.2210.6400p < 0.0063UnclearCramér’s V = 0.047negligible

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 99 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 31, 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.