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
33
single-family resale homes
Median net sale price
$544,497
average $590,273
Median net price per SF
$214
average $214
Median days on market
25 days
average 55 days
1. SummaryResale homes · 33 sales · October 26, 2025 – October 25, 2026
This study looks at the 33 resale homes sold in Stone Canyon in the 365 days to October 25, 2026. A full year is used because only 17 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 sold33 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 · 33 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 $680K are about 1,040 SF (46%) larger than homes under $511K.
3.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under $511K$511K–$531K$544K–$680KOver $680K
Higher-priced homes Over $680K
Are much larger.
Lower-priced homes Under $511K
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 $511K
$511K–$531K
$544K–$680K
Over $680K
Real difference?
Net price per SF
$205 per SF
$199 per SF
$219 per SF
$234 per SF
unclear
Living area
2,259 SFSmallest
2,635 SF
2,816 SF
3,302 SFLargest
✓ large
Year built
2000
1999
1999
2000
unclear
Days on market
28 days
33 days
39 days
10 days
unclear
Discount from original list
7.2%
6.0%
4.9%
3.9%
unclear
Price cut before sale
38%
62%
56%
25%
unclear
Seller paid closing costs or repairs
75%
62%
56%
75%
unclear
Has a view
25%
25%
33%
50%
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 $234 per SF for homes over $680K and $205 per SF for homes under $511K. It does not move in a straight line; homes over $680K are highest. Defined in 8.1.2.
– No clear difference · could be chance
3.4 Homes over $680K are about 1,040 SF (46%) larger than homes under $511K
The average is 3,302 SF for homes over $680K and 2,259 SF for homes under $511K. 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 2000 for homes over $680K and 2000 for homes under $511K. It does not move in a straight line; homes under $511K are highest. Defined in 8.1.4.
– No clear difference · could be chance
3.6 Days on market: no clear difference
The median is 10 days for homes over $680K and 28 days for homes under $511K. It does not move in a straight line; homes $544K–$680K 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 3.9% for homes over $680K and 7.2% for homes under $511K. It falls step by step from the lowest range to the 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.
25% of homes over $680K had a price cut before sale, against 38% of homes under $511K. Defined in 8.1.7.
75% of homes over $680K had the seller pay closing costs or repairs, against 75% of homes under $511K. Defined in 8.1.8.
50% of homes over $680K have a view, against 25% of homes under $511K. 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 $511K8 sales
$511K–$531K8 sales
$544K–$680K9 sales
Over $680K8 sales
All33 sales
Real difference?
Net sale price average
$456,896
$521,316
$612,741
$767,331
$590,273
by design
Net price per SF average
$205
$199
$219
$234
$214
unclear
Living area average
2,259
2,635
2,816
3,302
2,755
✓ large
Year built median
2000
1999
1999
2000
1999
unclear
3.10 The numbers: selling
Under $511K8 sales
$511K–$531K8 sales
$544K–$680K9 sales
Over $680K8 sales
All33 sales
Real difference?
Days on market median
28
33
39
10
25
unclear
Discount from original list average
7.2%
6.0%
4.9%
3.9%
5.5%
unclear
Price cut before sale
38%
62%
56%
25%
45%
unclear
Seller paid closing costs or repairs
75%
62%
56%
75%
67%
unclear
Has a view
25%
25%
33%
50%
33%
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 · 33 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 3,065 SF sell for about $275K (58%) more than homes under 2,453 SF.
4.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under 2,453 SF2,453–2,685 SF2,714–3,065 SFOver 3,065 SF
Larger homes Over 3,065 SF
Sell for much more.
Smaller homes Under 2,453 SF
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 2,453 SF
2,453–2,685 SF
2,714–3,065 SF
Over 3,065 SF
Real difference?
Net sale price
$478KLowest
$552K
$580K
$752KHighest
✓ large
Net price per SF
$218 per SF
$219 per SF
$203 per SF
$219 per SF
unclear
Year built
2000
1999
1999
1999
unclear
Days on market
61 days
18 days
12 days
24 days
unclear
Discount from original list
4.7%
4.0%
7.3%
5.7%
unclear
Price cut before sale
50%
38%
44%
50%
unclear
Seller paid closing costs or repairs
88%
38%
67%
75%
unclear
Has a view
38%
38%
11%
50%
unclear
4.3 Homes over 3,065 SF sell for about $275K (58%) more than homes under 2,453 SF
The average is $752K for homes over 3,065 SF and $478K for homes under 2,453 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 $219 per SF for homes over 3,065 SF and $218 per SF for homes under 2,453 SF. It does not move in a straight line; homes over 3,065 SF are highest. Defined in 8.1.2.
– No clear difference · could be chance
4.5 Year built: no clear difference
The median is 1999 for homes over 3,065 SF and 2000 for homes under 2,453 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.4.
– No clear difference · could be chance
4.6 Days on market: no clear difference
The median is 24 days for homes over 3,065 SF and 61 days for homes under 2,453 SF. It does not move in a straight line; homes under 2,453 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 5.7% for homes over 3,065 SF and 4.7% for homes under 2,453 SF. It does not move in a straight line; homes 2,714–3,065 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.
50% of homes over 3,065 SF had a price cut before sale, against 50% of homes under 2,453 SF. Defined in 8.1.7.
75% of homes over 3,065 SF had the seller pay closing costs or repairs, against 88% of homes under 2,453 SF. Defined in 8.1.8.
50% of homes over 3,065 SF have a view, against 38% of homes under 2,453 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 2,453 SF8 sales
2,453–2,685 SF8 sales
2,714–3,065 SF9 sales
Over 3,065 SF8 sales
All33 sales
Real difference?
Net sale price average
$477,726
$551,854
$580,303
$752,456
$590,273
✓ large
Net price per SF average
$218
$219
$203
$219
$214
unclear
Living area average
2,204
2,526
2,855
3,422
2,755
by design
Year built median
2000
1999
1999
1999
1999
unclear
4.10 The numbers: selling
Under 2,453 SF8 sales
2,453–2,685 SF8 sales
2,714–3,065 SF9 sales
Over 3,065 SF8 sales
All33 sales
Real difference?
Days on market median
61
18
12
24
25
unclear
Discount from original list average
4.7%
4.0%
7.3%
5.7%
5.5%
unclear
Price cut before sale
50%
38%
44%
50%
45%
unclear
Seller paid closing costs or repairs
88%
38%
67%
75%
67%
unclear
Has a view
38%
38%
11%
50%
33%
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 · 33 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: no measure differs enough between the groups to rule out chance.
5.1 Key differences
The top group against the bottom group: no measure differs enough to rule out chance.
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 1999
1999
2000
After 2000
Real difference?
Net sale price
$602K
$564K
$590K
$619K
unclear
Net price per SF
$213 per SF
$208 per SF
$218 per SF
$225 per SF
unclear
Living area
2,848 SF
2,716 SF
2,692 SF
2,748 SF
unclear
Days on market
30 days
18 days
32 days
14 days
unclear
Discount from original list
5.3%
5.8%
6.1%
4.2%
unclear
Price cut before sale
50%
30%
62%
40%
unclear
Seller paid closing costs or repairs
70%
60%
50%
100%
unclear
Has a view
30%
20%
38%
60%
unclear
5.3 Net sale price: no clear difference
The average is $619K for homes built after 2000 and $602K for homes built before 1999. It does not move in a straight line; homes built after 2000 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 $225 per SF for homes built after 2000 and $213 per SF for homes built before 1999. It does not move in a straight line; homes built after 2000 are highest. Defined in 8.1.2.
– No clear difference · could be chance
5.5 Living area: no clear difference
The average is 2,748 SF for homes built after 2000 and 2,848 SF for homes built before 1999. It does not move in a straight line; homes built before 1999 are highest. Defined in 8.1.3.
– No clear difference · could be chance
5.6 Days on market: no clear difference
The median is 14 days for homes built after 2000 and 30 days for homes built before 1999. It does not move in a straight line; homes built 2000 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 4.2% for homes built after 2000 and 5.3% for homes built before 1999. It does not move in a straight line; homes built 2000 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.
40% of homes built after 2000 had a price cut before sale, against 50% of homes built before 1999. Defined in 8.1.7.
100% of homes built after 2000 had the seller pay closing costs or repairs, against 70% of homes built before 1999. Defined in 8.1.8.
60% of homes built after 2000 have a view, against 30% of homes built before 1999. 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 199910 sales
199910 sales
20008 sales
After 20005 sales
All33 sales
Real difference?
Net sale price average
$602,158
$564,445
$589,750
$618,996
$590,273
unclear
Net price per SF average
$213
$208
$218
$225
$214
unclear
Living area average
2,848
2,716
2,692
2,748
2,755
unclear
Year built median
1998
1999
2000
2001
1999
by design
5.10 The numbers: selling
Before 199910 sales
199910 sales
20008 sales
After 20005 sales
All33 sales
Real difference?
Days on market median
30
18
32
14
25
unclear
Discount from original list average
5.3%
5.8%
6.1%
4.2%
5.5%
unclear
Price cut before sale
50%
30%
62%
40%
45%
unclear
Seller paid closing costs or repairs
70%
60%
50%
100%
67%
unclear
Has a view
30%
20%
38%
60%
33%
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 · 33 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: 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.
View
No view
Real difference?
Net sale price
$628K
$572K
unclear
Net price per SF
$220 per SF
$212 per SF
unclear
Living area
2,853 SF
2,706 SF
unclear
Year built
2000
1999
unclear
Days on market
26 days
22 days
unclear
Discount from original list
5.8%
5.3%
unclear
Price cut before sale
64%
36%
unclear
Seller paid closing costs or repairs
82%
59%
unclear
6.3 Net sale price: no clear difference
The average is $628K for homes with a view and $572K for homes without a view. Defined in 8.1.1.
– No clear difference · could be chance
6.4 Net price per SF: no clear difference
The average is $220 per SF for homes with a view and $212 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 2,853 SF for homes with a view and 2,706 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 2000 for homes with a view and 1999 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 26 days for homes with a view and 22 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 5.8% for homes with a view and 5.3% 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.
64% of homes with a view had a price cut before sale, against 36% of homes without a view. Defined in 8.1.7.
82% of homes with a view had the seller pay closing costs or repairs, against 59% 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
View11 sales
No view22 sales
All33 sales
Real difference?
Net sale price average
$627,550
$571,635
$590,273
unclear
Net price per SF average
$220
$212
$214
unclear
Living area average
2,853
2,706
2,755
unclear
Year built median
2000
1999
1999
unclear
6.11 The numbers: selling
View11 sales
No view22 sales
All33 sales
Real difference?
Days on market median
26
22
25
unclear
Discount from original list average
5.8%
5.3%
5.5%
unclear
Price cut before sale
64%
36%
45%
unclear
Seller paid closing costs or repairs
82%
59%
67%
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 Stone Canyon.
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
33 resale sales. Average $590,273; median $544,497; standard deviation $125,628; middle half (25th–75th percentile) $510,775–$680,000; lowest $378,000, highest $913,820. 22 sales had a seller payment; their median payment was $5,150.
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
33 resale sales. Average $214; median $214; standard deviation $25; middle half (25th–75th percentile) $203–$230; lowest $139, highest $279.
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
33 resale sales. Average 2,755; median 2,714; standard deviation 476; middle half (25th–75th percentile) 2,453–3,065; lowest 1,861, highest 3,844.
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
33 resale sales. Average 1999; median 1999; standard deviation 1; middle half (25th–75th percentile) 1998–2000; lowest 1996, highest 2001.
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
33 resale sales. Average 55; median 25; standard deviation 63; middle half (25th–75th percentile) 7–89; lowest 0, highest 223. 1 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
33 resale sales. Average 5.5%; median 5.4%; standard deviation 6.1%; middle half (25th–75th percentile) 2.7%–7.1%; lowest −9.2%, highest 31.3%. 1 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
15 of 33 resale sales (45.5%).
8.1.8 Seller paid closing costs or repairs
In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
22 of 33 resale sales (66.7%).
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
11 sales with a view, 22 without, 0 unclassified. Most common View entries: None 20, Park/Greenbelt 11, Trees/Woods 3, Neighborhood 2, Garden 1, Panoramic 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 = Round Rock, SubdivisionName contains any of “stone canyon” (case-insensitive). A record is kept when its subdivision name belongs to the Stone Canyon family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 33 closed Stone Canyon records over the prior year, in ZIP 78681. 20 subdivision spellings kept, the most common: Stone Canyon Sec 08A (4); Stone Canyon Sec 04 (4); Stone Canyon Sec 01 (3); Stone Canyon Sec 06C (3); Stone Canyon Sec 08-B (2); Stone Canyon Sec 03 (2); Stone Canyon (2); Stone Canyon Sec 4 (1); Stone Canyon Sec 5-A (1); Stone Canyon Sec 7-A (1); STONE CANYON (1); Stone Canyon Sec 7B (1); and 8 more (8 records). No other names were found by the search.
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 17 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
33 single-family sales in the window: 33 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
33 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 $511K”.
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 $511K: $378,000–$510,631 (8 sales); $511K–$531K: $510,775–$530,800 (8 sales); $544K–$680K: $544,497–$680,000 (9 sales); Over $680K: $710,000–$913,820 (8 sales) Quartiles by living area: Under 2,453 SF: 1,861–2,426 SF (8 sales); 2,453–2,685 SF: 2,453–2,685 SF (8 sales); 2,714–3,065 SF: 2,714–3,065 SF (9 sales); Over 3,065 SF: 3,213–3,844 SF (8 sales) Quartiles by year built: Before 1999: 1996–1998 (10 sales); 1999: 1999–1999 (10 sales); 2000: 2000–2000 (8 sales); After 2000: 2001–2001 (5 sales) View and no view: View: MLS lists a view (11 sales); No view: None or Neighborhood (22 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 $590,273, median $544,497. Days on market: average 55, median 25: 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
2 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 = 10.72
3
0.0133
p < 0.0063
Unclear
ε² = 0.335
large
Living area
Kruskal–Wallis
H = 19.84
3
0.0002
p < 0.0063
Yes
ε² = 0.620
large
Year built
Kruskal–Wallis
H = 1.35
3
0.7167
p < 0.0063
Unclear
ε² = 0.042
small
Days on market
Kruskal–Wallis
H = 3.08
3
0.3797
p < 0.0063
Unclear
ε² = 0.096
medium
Discount from original list
Kruskal–Wallis
H = 2.54
3
0.4690
p < 0.0063
Unclear
ε² = 0.079
medium
Price cut before sale
Chi-square
χ² = 2.86
3
0.4134
p < 0.0063
Unclear
Cramér’s V = 0.294
small
Seller paid closing costs or repairs
Chi-square
χ² = 1.06
3
0.7861
p < 0.0063
Unclear
Cramér’s V = 0.179
small
Has a view
Chi-square
χ² = 1.50
3
0.6823
p < 0.0063
Unclear
Cramér’s V = 0.213
small
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 = 20.94
3
0.0001
p < 0.0063
Yes
ε² = 0.654
large
Net price per SF
Kruskal–Wallis
H = 1.21
3
0.7510
p < 0.0063
Unclear
ε² = 0.038
small
Year built
Kruskal–Wallis
H = 2.23
3
0.5267
p < 0.0063
Unclear
ε² = 0.070
medium
Days on market
Kruskal–Wallis
H = 1.97
3
0.5782
p < 0.0063
Unclear
ε² = 0.062
medium
Discount from original list
Kruskal–Wallis
H = 1.04
3
0.7910
p < 0.0063
Unclear
ε² = 0.033
small
Price cut before sale
Chi-square
χ² = 0.34
3
0.9521
p < 0.0063
Unclear
Cramér’s V = 0.102
small
Seller paid closing costs or repairs
Chi-square
χ² = 4.88
3
0.1812
p < 0.0063
Unclear
Cramér’s V = 0.384
medium
Has a view
Chi-square
χ² = 3.12
3
0.3728
p < 0.0063
Unclear
Cramér’s V = 0.308
medium
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 = 0.12
3
0.9887
p < 0.0063
Unclear
ε² = 0.004
negligible
Net price per SF
Kruskal–Wallis
H = 2.19
3
0.5338
p < 0.0063
Unclear
ε² = 0.068
medium
Living area
Kruskal–Wallis
H = 0.89
3
0.8281
p < 0.0063
Unclear
ε² = 0.028
small
Days on market
Kruskal–Wallis
H = 1.14
3
0.7676
p < 0.0063
Unclear
ε² = 0.036
small
Discount from original list
Kruskal–Wallis
H = 1.18
3
0.7578
p < 0.0063
Unclear
ε² = 0.037
small
Price cut before sale
Chi-square
χ² = 2.04
3
0.5633
p < 0.0063
Unclear
Cramér’s V = 0.249
small
Seller paid closing costs or repairs
Chi-square
χ² = 3.75
3
0.2898
p < 0.0063
Unclear
Cramér’s V = 0.337
medium
Has a view
Chi-square
χ² = 2.51
3
0.4730
p < 0.0063
Unclear
Cramér’s V = 0.276
small
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 = 144.00
—
0.3902
p < 0.0063
Unclear
rank-biserial r = 0.190
small
Net price per SF
Mann–Whitney U
U = 131.00
—
0.7168
p < 0.0063
Unclear
rank-biserial r = 0.083
negligible
Living area
Mann–Whitney U
U = 129.50
—
0.7599
p < 0.0063
Unclear
rank-biserial r = 0.070
negligible
Year built
Mann–Whitney U
U = 146.50
—
0.3262
p < 0.0063
Unclear
rank-biserial r = 0.211
small
Days on market
Mann–Whitney U
U = 129.50
—
0.7599
p < 0.0063
Unclear
rank-biserial r = 0.070
negligible
Discount from original list
Mann–Whitney U
U = 144.00
—
0.3902
p < 0.0063
Unclear
rank-biserial r = 0.190
small
Price cut before sale
Chi-square
χ² = 2.20
1
0.1380
p < 0.0063
Unclear
Cramér’s V = 0.258
small
Seller paid closing costs or repairs
Chi-square
χ² = 1.70
1
0.1917
p < 0.0063
Unclear
Cramér’s V = 0.227
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.