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
41
single-family resale homes
Median net sale price
$720,000
average $751,012
Median net price per SF
$250
average $246
Median days on market
19 days
average 42 days
1. SummaryResale homes · 41 sales · October 26, 2025 – October 25, 2026
This study looks at the 41 resale homes sold in Canyon Creek in the 365 days to October 25, 2026. A full year is used because only 24 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 sold41 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.
3. Quartiles by net sale priceResale homes · 41 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.
Bottom line
Homes over $821K are about 1,140 SF (46%) larger than homes under $665K.
3.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under $665K$665K–$718K$720K–$821KOver $821K
Higher-priced homes Over $821K
Are much larger.
Lower-priced homes Under $665K
Are much smaller.
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 $665K
$665K–$718K
$720K–$821K
Over $821K
Real difference?
Net price per SF
$244 per SF
$230 per SF
$243 per SF
$268 per SF
unclear
Living area
2,446 SFSmallest
3,032 SF
3,176 SF
3,582 SFLargest
✓ large
Year built
1993
1994
1999
1999
unclear
Days on market
16 days
14 days
29 days
21 days
unclear
Discount from original list
6.1%
4.0%
3.3%
5.2%
unclear
Price cut before sale
40%
30%
18%
50%
unclear
Seller paid closing costs or repairs
30%
60%
73%
60%
unclear
Has a view
20%
10%
36%
80%
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 Net price per SF: no clear difference
The average is $268 per SF for homes over $821K and $244 per SF for homes under $665K. It does not move in a straight line; homes over $821K are highest. Defined in 8.1.2.
– No clear difference · could be chance
3.4 Homes over $821K are about 1,140 SF (46%) larger than homes under $665K
The average is 3,582 SF for homes over $821K and 2,446 SF for homes under $665K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.
✓ Real difference · large
3.5 Year built: no clear difference
The median is 1999 for homes over $821K and 1993 for homes under $665K. It rises step by step from the lowest range to the highest. Defined in 8.1.4.
– No clear difference · could be chance
3.6 Days on market: no clear difference
The median is 21 days for homes over $821K and 16 days for homes under $665K. It does not move in a straight line; homes $720K–$821K are highest. Defined in 8.1.5.
– No clear difference · could be chance
3.7 Discount from original list: no clear difference
The average is 5.2% for homes over $821K and 6.1% for homes under $665K. It does not move in a straight line; homes under $665K are highest. Defined in 8.1.6.
– No clear difference · could be chance
3.8 How often: price cut before sale, seller paid closing costs or repairs, has a view
Each bar is the share of homes in the group, in percent.
50% of homes over $821K had a price cut before sale, against 40% of homes under $665K. Defined in 8.1.7.
60% of homes over $821K had the seller pay closing costs or repairs, against 30% of homes under $665K. Defined in 8.1.8.
80% of homes over $821K have a view, against 20% of homes under $665K. 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 $665K10 sales
$665K–$718K10 sales
$720K–$821K11 sales
Over $821K10 sales
All41 sales
Real difference?
Net sale price average
$589,375
$692,005
$763,218
$958,230
$751,012
by design
Net price per SF average
$244
$230
$243
$268
$246
unclear
Living area average
2,446
3,032
3,176
3,582
3,062
✓ large
Year built median
1993
1994
1999
1999
1997
unclear
3.10 The numbers: selling
Under $665K10 sales
$665K–$718K10 sales
$720K–$821K11 sales
Over $821K10 sales
All41 sales
Real difference?
Days on market median
16
14
29
21
19
unclear
Discount from original list average
6.1%
4.0%
3.3%
5.2%
4.6%
unclear
Price cut before sale
40%
30%
18%
50%
34%
unclear
Seller paid closing costs or repairs
30%
60%
73%
60%
56%
unclear
Has a view
20%
10%
36%
80%
37%
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 · 41 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.
Bottom line
Homes over 3,323 SF sell for about $315K (52%) more than homes under 2,737 SF.
Homes over 3,323 SF are about 6 years newer than homes under 2,737 SF.
4.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under 2,737 SF2,737–3,180 SF3,189–3,323 SFOver 3,323 SF
Larger homes Over 3,323 SF
Sell for much more.
Tend to be newer.
Smaller homes Under 2,737 SF
Sell for much less.
Tend to be older.
4.2 At a glance
Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.
Under 2,737 SF
2,737–3,180 SF
3,189–3,323 SF
Over 3,323 SF
Real difference?
Net sale price
$607KLowest
$720K
$755K
$921KHighest
✓ large
Net price per SF
$257 per SF
$245 per SF
$232 per SF
$251 per SF
unclear
Year built
1993Oldest
1994
2000Newest
1999
✓ large
Days on market
13 days
30 days
29 days
9 days
unclear
Discount from original list
4.7%
4.0%
4.3%
5.6%
unclear
Price cut before sale
30%
30%
45%
30%
unclear
Seller paid closing costs or repairs
50%
40%
73%
60%
unclear
Has a view
10%
30%
27%
80%
unclear
4.3 Homes over 3,323 SF sell for about $315K (52%) more than homes under 2,737 SF
The average is $921K for homes over 3,323 SF and $607K for homes under 2,737 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.
✓ Real difference · large
4.4 Net price per SF: no clear difference
The average is $251 per SF for homes over 3,323 SF and $257 per SF for homes under 2,737 SF. It does not move in a straight line; homes under 2,737 SF are highest. Defined in 8.1.2.
– No clear difference · could be chance
4.5 Homes over 3,323 SF are about 6 years newer than homes under 2,737 SF
The median is 1999 for homes over 3,323 SF and 1993 for homes under 2,737 SF. It does not move in a straight line; homes 3,189–3,323 SF are highest. Defined in 8.1.4.
✓ Real difference · large
4.6 Days on market: no clear difference
The median is 9 days for homes over 3,323 SF and 13 days for homes under 2,737 SF. It does not move in a straight line; homes 2,737–3,180 SF are highest. Defined in 8.1.5.
– No clear difference · could be chance
4.7 Discount from original list: no clear difference
The average is 5.6% for homes over 3,323 SF and 4.7% for homes under 2,737 SF. It does not move in a straight line; homes over 3,323 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
Each bar is the share of homes in the group, in percent.
30% of homes over 3,323 SF had a price cut before sale, against 30% of homes under 2,737 SF. Defined in 8.1.7.
60% of homes over 3,323 SF had the seller pay closing costs or repairs, against 50% of homes under 2,737 SF. Defined in 8.1.8.
80% of homes over 3,323 SF have a view, against 10% of homes under 2,737 SF. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance
4.9 The numbers: price and size
Under 2,737 SF10 sales
2,737–3,180 SF10 sales
3,189–3,323 SF11 sales
Over 3,323 SF10 sales
All41 sales
Real difference?
Net sale price average
$606,780
$720,490
$754,923
$921,465
$751,012
✓ large
Net price per SF average
$257
$245
$232
$251
$246
unclear
Living area average
2,361
2,941
3,251
3,675
3,062
by design
Year built median
1993
1994
2000
1999
1997
✓ large
4.10 The numbers: selling
Under 2,737 SF10 sales
2,737–3,180 SF10 sales
3,189–3,323 SF11 sales
Over 3,323 SF10 sales
All41 sales
Real difference?
Days on market median
13
30
29
9
19
unclear
Discount from original list average
4.7%
4.0%
4.3%
5.6%
4.6%
unclear
Price cut before sale
30%
30%
45%
30%
34%
unclear
Seller paid closing costs or repairs
50%
40%
73%
60%
56%
unclear
Has a view
10%
30%
27%
80%
37%
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 · 41 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.
Bottom line
Homes built after 1999 are about 630 SF (23%) larger than homes built before 1993.
5.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Before 19931993–19961997–1999After 1999
Newer homes After 1999
Are much larger.
Older homes Before 1993
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 1993
1993–1996
1997–1999
After 1999
Real difference?
Net sale price
$652K
$709K
$868K
$767K
unclear
Net price per SF
$241 per SF
$259 per SF
$254 per SF
$230 per SF
unclear
Living area
2,702 SFSmallest
2,759 SF
3,426 SFLargest
3,329 SF
✓ large
Days on market
16 days
11 days
24 days
30 days
unclear
Discount from original list
6.5%
2.2%
4.0%
6.2%
unclear
Price cut before sale
44%
27%
20%
45%
unclear
Seller paid closing costs or repairs
56%
45%
70%
55%
unclear
Has a view
22%
18%
50%
55%
unclear
5.3 Net sale price: no clear difference
The average is $767K for homes built after 1999 and $652K for homes built before 1993. It does not move in a straight line; homes built 1997–1999 are highest. Defined in 8.1.1.
– No clear difference · could be chance
5.4 Net price per SF: no clear difference
The average is $230 per SF for homes built after 1999 and $241 per SF for homes built before 1993. It does not move in a straight line; homes built 1993–1996 are highest. Defined in 8.1.2.
– No clear difference · could be chance
5.5 Homes built after 1999 are about 630 SF (23%) larger than homes built before 1993
The average is 3,329 SF for homes built after 1999 and 2,702 SF for homes built before 1993. It does not move in a straight line; homes built 1997–1999 are highest. Defined in 8.1.3.
✓ Real difference · large
5.6 Days on market: no clear difference
The median is 30 days for homes built after 1999 and 16 days for homes built before 1993. It does not move in a straight line; homes built after 1999 are highest. Defined in 8.1.5.
– No clear difference · could be chance
5.7 Discount from original list: no clear difference
The average is 6.2% for homes built after 1999 and 6.5% for homes built before 1993. It does not move in a straight line; homes built before 1993 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
Each bar is the share of homes in the group, in percent.
45% of homes built after 1999 had a price cut before sale, against 44% of homes built before 1993. Defined in 8.1.7.
55% of homes built after 1999 had the seller pay closing costs or repairs, against 56% of homes built before 1993. Defined in 8.1.8.
55% of homes built after 1999 have a view, against 22% of homes built before 1993. 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 19939 sales
1993–199611 sales
1997–199910 sales
After 199911 sales
All41 sales
Real difference?
Net sale price average
$652,420
$709,006
$867,940
$767,386
$751,012
unclear
Net price per SF average
$241
$259
$254
$230
$246
unclear
Living area average
2,702
2,759
3,426
3,329
3,062
✓ large
Year built median
1990
1994
1999
2002
1997
by design
5.10 The numbers: selling
Before 19939 sales
1993–199611 sales
1997–199910 sales
After 199911 sales
All41 sales
Real difference?
Days on market median
16
11
24
30
19
unclear
Discount from original list average
6.5%
2.2%
4.0%
6.2%
4.6%
unclear
Price cut before sale
44%
27%
20%
45%
34%
unclear
Seller paid closing costs or repairs
56%
45%
70%
55%
56%
unclear
Has a view
22%
18%
50%
55%
37%
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 · 41 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.
Bottom line
Homes with a view sell for about $151K (22%) more than homes without a view.
6.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
ViewNo view
Homes with a view MLS lists a view
Sell for much more.
Homes without a view no view listed
Sell for much less.
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.
View
No view
Real difference?
Net sale price
$847KHighest
$696KLowest
✓ large
Net price per SF
$254 per SF
$241 per SF
unclear
Living area
3,339 SF
2,902 SF
unclear
Year built
1999
1994
unclear
Days on market
10 days
21 days
unclear
Discount from original list
5.5%
4.1%
unclear
Price cut before sale
40%
31%
unclear
Seller paid closing costs or repairs
40%
65%
unclear
6.3 Homes with a view sell for about $151K (22%) more than homes without a view
The average is $847K for homes with a view and $696K for homes without a view. Defined in 8.1.1.
✓ Real difference · large
6.4 Net price per SF: no clear difference
The average is $254 per SF for homes with a view and $241 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
The average is 3,339 SF for homes with a view and 2,902 SF for homes without a view. Defined in 8.1.3.
– No clear difference · could be chance
6.6 Year built: no clear difference
The median is 1999 for homes with a view and 1994 for homes without a view. Defined in 8.1.4.
– No clear difference · could be chance
6.7 Days on market: no clear difference
The median is 10 days for homes with a view and 21 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
The average is 5.5% for homes with a view and 4.1% for homes without a view. Defined in 8.1.6.
– No clear difference · could be chance
6.9 How often: price cut before sale, seller paid closing costs or repairs
Each bar is the share of homes in the group, in percent.
40% of homes with a view had a price cut before sale, against 31% of homes without a view. Defined in 8.1.7.
40% of homes with a view had the seller pay closing costs or repairs, against 65% 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
View15 sales
No view26 sales
All41 sales
Real difference?
Net sale price average
$846,610
$695,860
$751,012
✓ large
Net price per SF average
$254
$241
$246
unclear
Living area average
3,339
2,902
3,062
unclear
Year built median
1999
1994
1997
unclear
6.11 The numbers: selling
View15 sales
No view26 sales
All41 sales
Real difference?
Days on market median
10
21
19
unclear
Discount from original list average
5.5%
4.1%
4.6%
unclear
Price cut before sale
40%
31%
34%
unclear
Seller paid closing costs or repairs
40%
65%
56%
unclear
Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.4.
7. New constructionBasic statistics · 0 sales · October 26, 2025 – October 25, 2026
Homes sold new by the builder in the same 365 days. They are left out of every other section and shown here as basic figures only: 0 sales, no groups, no tests.
Note: these are only the new-construction sales reported in ABOR MLS. Builders often sell homes without listing them in the MLS, so these figures do not necessarily represent all new-construction sales in Canyon 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
41 resale sales. Average $751,012; median $720,000; standard deviation $150,792; middle half (25th–75th percentile) $665,000–$820,750; lowest $389,000, highest $1,087,250. 23 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
41 resale sales. Average $246; median $250; standard deviation $32; middle half (25th–75th percentile) $227–$258; lowest $174, highest $318.
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
41 resale sales. Average 3,062; median 3,189; standard deviation 521; middle half (25th–75th percentile) 2,737–3,323; lowest 2,046, highest 4,348.
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
41 resale sales. Average 1996; median 1997; standard deviation 5; middle half (25th–75th percentile) 1993–2000; lowest 1989, highest 2006.
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
41 resale sales. Average 42; median 19; standard deviation 51; middle half (25th–75th percentile) 6–65; lowest 1, highest 226. 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
41 resale sales. Average 4.6%; median 2.9%; standard deviation 6.0%; middle half (25th–75th percentile) 0.2%–9.4%; lowest −5.5%, highest 18.2%. 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
14 of 41 resale sales (34.1%).
8.1.8 Seller paid closing costs or repairs
In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
23 of 41 resale sales (56.1%).
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
15 sales with a view, 26 without, 0 unclassified. Most common View entries: None 15, Park/Greenbelt 13, Neighborhood 13, Trees/Woods 10, Hill Country 5, Panoramic 2, See Remarks 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 “canyon creek” (case-insensitive). A record is kept when its subdivision name belongs to the Canyon Creek family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 41 closed Canyon Creek records over the prior year, in ZIP 78726. 21 subdivision spellings kept, the most common: Canyon Creek Sec 01 (6); Canyon Creek Sec 21 (4); Canyon Creek Sec 26 (3); Canyon Creek (3); Canyon Creek Sec 11 (2); Canyon Creek Sec 17B (2); Canyon Creek Sec 22 (2); Canyon Creek Sec 28 (2); Canyon Creek Sec 17c (2); Canyon Creek Sec 19B (2); Canyon Creek Sec 17C (2); Canyon Creek Sec 19A (2); and 9 more (9 records). Names found by the search but not part of Canyon Creek, left out: Villas At Canyon Creek Condo (3); Canyon Creek West Sec 01 (2); Canyon Creek West (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 24 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
41 single-family sales in the window: 41 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
41 resale; 0 new construction.
8.2.4 Sales left out
In simple terms
A few records cannot be used as entered and are left out before any analysis.
Statistically
Excluded: PropertySubType other than Single Family Residence; no OriginalListPrice; LivingArea under 400 SF; seller payments above 10% of ClosePrice (treated as entry errors).
The data
None in this window.
8.2.5 Quartiles and groups
In simple terms
Sales lined up from lowest to highest and cut into four groups of about equal size. Each group is named by its range, for example “Under $665K”.
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 $665K: $389,000–$660,000 (10 sales); $665K–$718K: $665,000–$718,500 (10 sales); $720K–$821K: $720,000–$820,750 (11 sales); Over $821K: $835,000–$1,087,250 (10 sales) Quartiles by living area: Under 2,737 SF: 2,046–2,721 SF (10 sales); 2,737–3,180 SF: 2,737–3,180 SF (10 sales); 3,189–3,323 SF: 3,189–3,323 SF (11 sales); Over 3,323 SF: 3,341–4,348 SF (10 sales) Quartiles by year built: Before 1993: 1989–1992 (9 sales); 1993–1996: 1993–1996 (11 sales); 1997–1999: 1997–1999 (10 sales); After 1999: 2000–2006 (11 sales) View and no view: View: MLS lists a view (15 sales); No view: None or Neighborhood (26 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 $751,012, median $720,000. Days on market: average 42, median 19: 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
5 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
Measure
Test
Statistic
df
p-value
Threshold
Real difference?
Effect size
Size
Net price per SF
Kruskal–Wallis
H = 9.12
3
0.0278
p < 0.0063
Unclear
ε² = 0.228
large
Living area
Kruskal–Wallis
H = 24.71
3
< 0.0001
p < 0.0063
Yes
ε² = 0.618
large
Year built
Kruskal–Wallis
H = 8.02
3
0.0456
p < 0.0063
Unclear
ε² = 0.200
large
Days on market
Kruskal–Wallis
H = 0.68
3
0.8780
p < 0.0063
Unclear
ε² = 0.017
small
Discount from original list
Kruskal–Wallis
H = 0.32
3
0.9559
p < 0.0063
Unclear
ε² = 0.008
negligible
Price cut before sale
Chi-square
χ² = 2.59
3
0.4587
p < 0.0063
Unclear
Cramér’s V = 0.251
small
Seller paid closing costs or repairs
Chi-square
χ² = 4.12
3
0.2484
p < 0.0063
Unclear
Cramér’s V = 0.317
medium
Has a view
Chi-square
χ² = 12.36
3
0.0063
p < 0.0063
Unclear
Cramér’s V = 0.549
large
8.3.2 Quartiles by living area
Measure
Test
Statistic
df
p-value
Threshold
Real difference?
Effect size
Size
Net sale price
Kruskal–Wallis
H = 24.63
3
< 0.0001
p < 0.0063
Yes
ε² = 0.616
large
Net price per SF
Kruskal–Wallis
H = 5.91
3
0.1160
p < 0.0063
Unclear
ε² = 0.148
large
Year built
Kruskal–Wallis
H = 14.09
3
0.0028
p < 0.0063
Yes
ε² = 0.352
large
Days on market
Kruskal–Wallis
H = 1.59
3
0.6626
p < 0.0063
Unclear
ε² = 0.040
small
Discount from original list
Kruskal–Wallis
H = 0.44
3
0.9327
p < 0.0063
Unclear
ε² = 0.011
small
Price cut before sale
Chi-square
χ² = 0.85
3
0.8363
p < 0.0063
Unclear
Cramér’s V = 0.144
small
Seller paid closing costs or repairs
Chi-square
χ² = 2.50
3
0.4753
p < 0.0063
Unclear
Cramér’s V = 0.247
small
Has a view
Chi-square
χ² = 11.77
3
0.0082
p < 0.0063
Unclear
Cramér’s V = 0.536
large
8.3.3 Quartiles by year built
Measure
Test
Statistic
df
p-value
Threshold
Real difference?
Effect size
Size
Net sale price
Kruskal–Wallis
H = 11.43
3
0.0096
p < 0.0063
Unclear
ε² = 0.286
large
Net price per SF
Kruskal–Wallis
H = 6.31
3
0.0973
p < 0.0063
Unclear
ε² = 0.158
large
Living area
Kruskal–Wallis
H = 18.02
3
0.0004
p < 0.0063
Yes
ε² = 0.451
large
Days on market
Kruskal–Wallis
H = 1.21
3
0.7495
p < 0.0063
Unclear
ε² = 0.030
small
Discount from original list
Kruskal–Wallis
H = 3.53
3
0.3171
p < 0.0063
Unclear
ε² = 0.088
medium
Price cut before sale
Chi-square
χ² = 2.17
3
0.5377
p < 0.0063
Unclear
Cramér’s V = 0.230
small
Seller paid closing costs or repairs
Chi-square
χ² = 1.30
3
0.7285
p < 0.0063
Unclear
Cramér’s V = 0.178
small
Has a view
Chi-square
χ² = 4.71
3
0.1942
p < 0.0063
Unclear
Cramér’s V = 0.339
medium
8.3.4 View and no view
Measure
Test
Statistic
df
p-value
Threshold
Real difference?
Effect size
Size
Net sale price
Mann–Whitney U
U = 306.00
—
0.0028
p < 0.0063
Yes
rank-biserial r = 0.569
large
Net price per SF
Mann–Whitney U
U = 240.00
—
0.2284
p < 0.0063
Unclear
rank-biserial r = 0.231
small
Living area
Mann–Whitney U
U = 289.50
—
0.0109
p < 0.0063
Unclear
rank-biserial r = 0.485
medium
Year built
Mann–Whitney U
U = 264.50
—
0.0608
p < 0.0063
Unclear
rank-biserial r = 0.356
medium
Days on market
Mann–Whitney U
U = 151.00
—
0.2386
p < 0.0063
Unclear
rank-biserial r = 0.226
small
Discount from original list
Mann–Whitney U
U = 206.00
—
0.7763
p < 0.0063
Unclear
rank-biserial r = 0.056
negligible
Price cut before sale
Chi-square
χ² = 0.36
1
0.5483
p < 0.0063
Unclear
Cramér’s V = 0.094
negligible
Seller paid closing costs or repairs
Chi-square
χ² = 2.49
1
0.1147
p < 0.0063
Unclear
Cramér’s V = 0.246
small
8.4 Data notes
Left out of the analysis: 0 new-construction sales (basic statistics only, section 7); nothing else. Statistics: Python, NumPy 2.5.3, SciPy 1.18.1.
8.5 References
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Erlbaum.
Cramér, H. (1946). Mathematical Methods of Statistics. Princeton University Press.
Dunn, O. J. (1961). Multiple comparisons among means. JASA, 56(293), 52–64.
Kerby, D. S. (2014). The simple difference formula: an approach to teaching nonparametric correlation. Comprehensive Psychology, 3, 11.IT.3.1.
Kruskal, W. H., & Wallis, W. A. (1952). Use of ranks in one-criterion variance analysis. JASA, 47(260), 583–621.
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.
Pearson, K. (1900). On the criterion that a given system of deviations… Philosophical Magazine, 50(302), 157–175.
Tomczak, M., & Tomczak, E. (2014). The need to report effect size estimates revisited. Trends in Sport Sciences, 21(1), 19–25.