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
56
single-family resale homes
Median net sale price
$782,500
average $836,526
Median net price per SF
$238
average $242
Median days on market
116 days
average 138 days
1. SummaryResale homes · 56 sales · October 26, 2025 – October 25, 2026
This study looks at the 56 resale homes sold in Travisso in the 365 days to October 25, 2026. A full year is used because only 31 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 sold56 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 · 56 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 $986K are about 2,560 SF (121%) larger than homes under $550K.
3.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under $550K$550K–$765K$800K–$986KOver $986K
Higher-priced homes Over $986K
Are much larger.
Lower-priced homes Under $550K
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 $550K
$550K–$765K
$800K–$986K
Over $986K
Real difference?
Net price per SF
$241 per SF
$226 per SF
$226 per SF
$273 per SF
unclear
Living area
2,112 SFSmallest
2,943 SF
4,114 SF
4,669 SFLargest
✓ large
Year built
2019
2020
2019
2020
unclear
Days on market
82 days
116 days
102 days
157 days
unclear
Discount from original list
6.6%
10.3%
13.4%
16.2%
unclear
Price cut before sale
64%
50%
86%
79%
unclear
Seller paid closing costs or repairs
64%
43%
36%
36%
unclear
Has a view
57%
43%
86%
71%
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 $273 per SF for homes over $986K and $241 per SF for homes under $550K. It does not move in a straight line; homes over $986K are highest. Defined in 8.1.2.
– No clear difference · could be chance
3.4 Homes over $986K are about 2,560 SF (121%) larger than homes under $550K
The average is 4,669 SF for homes over $986K and 2,112 SF for homes under $550K. 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 2020 for homes over $986K and 2019 for homes under $550K. It does not move in a straight line; homes over $986K are highest. Defined in 8.1.4.
– No clear difference · could be chance
3.6 Days on market: no clear difference
The median is 157 days for homes over $986K and 82 days for homes under $550K. It does not move in a straight line; homes over $986K 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 16.2% for homes over $986K and 6.6% for homes under $550K. It rises 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.
79% of homes over $986K had a price cut before sale, against 64% of homes under $550K. Defined in 8.1.7.
36% of homes over $986K had the seller pay closing costs or repairs, against 64% of homes under $550K. Defined in 8.1.8.
71% of homes over $986K have a view, against 57% of homes under $550K. 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 $550K14 sales
$550K–$765K14 sales
$800K–$986K14 sales
Over $986K14 sales
All56 sales
Real difference?
Net sale price average
$504,925
$655,643
$913,106
$1,272,431
$836,526
by design
Net price per SF average
$241
$226
$226
$273
$242
unclear
Living area average
2,112
2,943
4,114
4,669
3,460
✓ large
Year built median
2019
2020
2019
2020
2019
unclear
3.10 The numbers: selling
Under $550K14 sales
$550K–$765K14 sales
$800K–$986K14 sales
Over $986K14 sales
All56 sales
Real difference?
Days on market median
82
116
102
157
116
unclear
Discount from original list average
6.6%
10.3%
13.4%
16.2%
11.6%
unclear
Price cut before sale
64%
50%
86%
79%
70%
unclear
Seller paid closing costs or repairs
64%
43%
36%
36%
45%
unclear
Has a view
57%
43%
86%
71%
64%
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 · 56 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 4,296 SF sell for about $701K (135%) more than homes under 2,512 SF.
Homes over 4,296 SF sell about 11 percentage points further below their first asking price than homes under 2,512 SF.
4.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under 2,512 SF2,512–3,427 SF3,440–4,296 SFOver 4,296 SF
Larger homes Over 4,296 SF
Sell for much more.
Sell further below their first asking price.
Smaller homes Under 2,512 SF
Sell for much less.
Sell closer to their first asking price.
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 2,512 SF
2,512–3,427 SF
3,440–4,296 SF
Over 4,296 SF
Real difference?
Net sale price
$520KLowest
$679K
$927K
$1.22MHighest
✓ large
Net price per SF
$248 per SF
$232 per SF
$238 per SF
$248 per SF
unclear
Year built
2019
2018
2019
2020
unclear
Days on market
96 days
84 days
136 days
174 days
unclear
Discount from original list
6.5%Smallest
9.0%
13.6%
17.3%Biggest
✓ large
Price cut before sale
57%
64%
71%
86%
unclear
Seller paid closing costs or repairs
64%
43%
43%
29%
unclear
Has a view
71%
43%
64%
79%
unclear
4.3 Homes over 4,296 SF sell for about $701K (135%) more than homes under 2,512 SF
The average is $1.22M for homes over 4,296 SF and $520K for homes under 2,512 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 $248 per SF for homes over 4,296 SF and $248 per SF for homes under 2,512 SF. It does not move in a straight line; homes over 4,296 SF are highest. Defined in 8.1.2.
– No clear difference · could be chance
4.5 Year built: no clear difference
The median is 2020 for homes over 4,296 SF and 2019 for homes under 2,512 SF. It does not move in a straight line; homes over 4,296 SF are highest. Defined in 8.1.4.
– No clear difference · could be chance
4.6 Days on market: no clear difference
The median is 174 days for homes over 4,296 SF and 96 days for homes under 2,512 SF. It does not move in a straight line; homes over 4,296 SF are highest. Defined in 8.1.5.
– No clear difference · could be chance
4.7 Homes over 4,296 SF sell about 11 percentage points further below their first asking price than homes under 2,512 SF
The average is 17.3% for homes over 4,296 SF and 6.5% for homes under 2,512 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.6.
✓ Real difference · large
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.
86% of homes over 4,296 SF had a price cut before sale, against 57% of homes under 2,512 SF. Defined in 8.1.7.
29% of homes over 4,296 SF had the seller pay closing costs or repairs, against 64% of homes under 2,512 SF. Defined in 8.1.8.
79% of homes over 4,296 SF have a view, against 71% of homes under 2,512 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 2,512 SF14 sales
2,512–3,427 SF14 sales
3,440–4,296 SF14 sales
Over 4,296 SF14 sales
All56 sales
Real difference?
Net sale price average
$519,732
$678,650
$926,687
$1,221,036
$836,526
✓ large
Net price per SF average
$248
$232
$238
$248
$242
unclear
Living area average
2,101
2,913
3,894
4,930
3,460
by design
Year built median
2019
2018
2019
2020
2019
unclear
4.10 The numbers: selling
Under 2,512 SF14 sales
2,512–3,427 SF14 sales
3,440–4,296 SF14 sales
Over 4,296 SF14 sales
All56 sales
Real difference?
Days on market median
96
84
136
174
116
unclear
Discount from original list average
6.5%
9.0%
13.6%
17.3%
11.6%
✓ large
Price cut before sale
57%
64%
71%
86%
70%
unclear
Seller paid closing costs or repairs
64%
43%
43%
29%
45%
unclear
Has a view
71%
43%
64%
79%
64%
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 · 56 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 2018
2018–2019
2020
After 2020
Real difference?
Net sale price
$821K
$766K
$912K
$872K
unclear
Net price per SF
$244 per SF
$250 per SF
$245 per SF
$227 per SF
unclear
Living area
3,333 SF
3,004 SF
3,676 SF
3,906 SF
unclear
Days on market
133 days
72 days
158 days
115 days
unclear
Discount from original list
10.1%
7.6%
13.8%
15.7%
unclear
Price cut before sale
50%
62%
82%
87%
unclear
Seller paid closing costs or repairs
43%
38%
36%
60%
unclear
Has a view
64%
56%
73%
67%
unclear
5.3 Net sale price: no clear difference
The average is $872K for homes built after 2020 and $821K for homes built before 2018. It does not move in a straight line; homes built 2020 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 $227 per SF for homes built after 2020 and $244 per SF for homes built before 2018. It does not move in a straight line; homes built 2018–2019 are highest. Defined in 8.1.2.
– No clear difference · could be chance
5.5 Living area: no clear difference
The average is 3,906 SF for homes built after 2020 and 3,333 SF for homes built before 2018. It does not move in a straight line; homes built after 2020 are highest. Defined in 8.1.3.
– No clear difference · could be chance
5.6 Days on market: no clear difference
The median is 115 days for homes built after 2020 and 133 days for homes built before 2018. It does not move in a straight line; homes built 2020 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 15.7% for homes built after 2020 and 10.1% for homes built before 2018. It does not move in a straight line; homes built after 2020 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.
87% of homes built after 2020 had a price cut before sale, against 50% of homes built before 2018. Defined in 8.1.7.
60% of homes built after 2020 had the seller pay closing costs or repairs, against 43% of homes built before 2018. Defined in 8.1.8.
67% of homes built after 2020 have a view, against 64% of homes built before 2018. 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 201814 sales
2018–201916 sales
202011 sales
After 202015 sales
All56 sales
Real difference?
Net sale price average
$820,686
$765,509
$911,776
$871,879
$836,526
unclear
Net price per SF average
$244
$250
$245
$227
$242
unclear
Living area average
3,333
3,004
3,676
3,906
3,460
unclear
Year built median
2014
2018
2020
2022
2019
by design
5.10 The numbers: selling
Before 201814 sales
2018–201916 sales
202011 sales
After 202015 sales
All56 sales
Real difference?
Days on market median
133
72
158
115
116
unclear
Discount from original list average
10.1%
7.6%
13.8%
15.7%
11.6%
unclear
Price cut before sale
50%
62%
82%
87%
70%
unclear
Seller paid closing costs or repairs
43%
38%
36%
60%
45%
unclear
Has a view
64%
56%
73%
67%
64%
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 · 56 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. 2 sales whose MLS view entry is only “See Remarks” are left out.
Bottom line
Homes with a view sell for about $36 per SF (17%) 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 more per square foot.
Homes without a view no view listed
Sell for less per square foot.
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
$898K
$718K
unclear
Net price per SF
$254 per SFHighest
$218 per SFLowest
✓ large
Living area
3,535 SF
3,310 SF
unclear
Year built
2020
2019
unclear
Days on market
110 days
107 days
unclear
Discount from original list
11.3%
11.6%
unclear
Price cut before sale
72%
67%
unclear
Seller paid closing costs or repairs
39%
50%
unclear
6.3 Net sale price: no clear difference
The average is $898K for homes with a view and $718K for homes without a view. Defined in 8.1.1.
– No clear difference · could be chance
6.4 Homes with a view sell for about $36 per SF (17%) more than homes without a view
The average is $254 per SF for homes with a view and $218 per SF for homes without a view. Defined in 8.1.2.
✓ Real difference · large
6.5 Living area: no clear difference
The average is 3,535 SF for homes with a view and 3,310 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 2020 for homes with a view and 2019 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 110 days for homes with a view and 107 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 11.3% for homes with a view and 11.6% 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.
72% of homes with a view had a price cut before sale, against 67% of homes without a view. Defined in 8.1.7.
39% of homes with a view had the seller pay closing costs or repairs, against 50% 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
View36 sales
No view18 sales
All54 sales
Real difference?
Net sale price average
$898,189
$717,514
$837,964
unclear
Net price per SF average
$254
$218
$242
✓ large
Living area average
3,535
3,310
3,460
unclear
Year built median
2020
2019
2019
unclear
6.11 The numbers: selling
View36 sales
No view18 sales
All54 sales
Real difference?
Days on market median
110
107
110
unclear
Discount from original list average
11.3%
11.6%
11.4%
unclear
Price cut before sale
72%
67%
70%
unclear
Seller paid closing costs or repairs
39%
50%
43%
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 · 50 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: 50 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 Travisso.
Measure
Average
Median
Sales
50
Net sale price
$825,410
$762,166
Net price per SF
$219
$212
Living area (SF)
3,764
3,899
Days on market
103
96
Discount from original list
15.1%
16.2%
Price cut before sale
70% of sales
Seller paid closing costs or repairs
58% of sales
Year built
2021–2026
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
56 resale sales. Average $836,526; median $782,500; standard deviation $326,566; middle half (25th–75th percentile) $549,175–$992,150; lowest $449,000, highest $1,800,000. 25 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
56 resale sales. Average $242; median $238; standard deviation $41; middle half (25th–75th percentile) $219–$267; lowest $168, highest $377.
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
56 resale sales. Average 3,460; median 3,434; standard deviation 1,115; middle half (25th–75th percentile) 2,507–4,312; lowest 1,912, highest 5,687.
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
56 resale sales. Average 2019; median 2019; standard deviation 3; middle half (25th–75th percentile) 2018–2021; lowest 2014, highest 2026.
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
56 resale sales. Average 138; median 116; standard deviation 123; middle half (25th–75th percentile) 51–194; lowest 2, highest 549. 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
56 resale sales. Average 11.6%; median 10.1%; standard deviation 9.3%; middle half (25th–75th percentile) 5.0%–15.3%; lowest −2.1%, highest 39.7%. 3 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 56 resale sales (69.6%).
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
25 of 56 resale sales (44.6%).
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
36 sales with a view, 18 without, 2 unclassified. Most common View entries: Hill Country 21, Park/Greenbelt 19, Neighborhood 19, Panoramic 15, Trees/Woods 14, None 9, Canyon 3, Pool 3.
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 = Leander, SubdivisionName contains any of “travisso”, “travisso siena collection”, “travisso capri collection” (case-insensitive). A record is kept when its subdivision name belongs to the Travisso family, the same rule comparable sales use (it includes Travisso - Siena Collection, Travisso - Capri Collection, proven adjacent and priced alike).
The data
Pulled October 26, 2026: 106 closed Travisso records over the prior year, in ZIP 78641. 22 subdivision spellings kept, the most common: Travisso (58); Travisso - Capri Collection (10); Travisso - Siena Collection (7); Travisso Ph 3 Sec 5 (3); Travisso Sec 1 Ph 2 (3); TRAVISSO (2); Travisso Ph 2 Sec 1M (2); Travisso Ph 2 Secs 2F 2G & 2H (2); Travisso Ph 4 Sec 6A (2); Travisso Ph 4 Secs 1 2 & 3 (2); Travisso Ph 3 Secs 1 & 3 (2); Travisso Ph 3 Sec 1 3 (2); and 10 more (11 records). Names found by the search but not part of Travisso, left out: Travisso - Florence Collection (4); Travisso - Verona Collection (4); Travisso - Naples Collection (3); Travisso Florence Collection (1); Travisso-Florence Collection (1); TRAVISSO PHS 3 SEC 4 (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 31 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
106 single-family sales in the window: 56 resale, 50 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
56 resale; 50 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 $550K”.
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 $550K: $449,000–$546,700 (14 sales); $550K–$765K: $550,000–$765,000 (14 sales); $800K–$986K: $800,000–$986,200 (14 sales); Over $986K: $1,010,000–$1,800,000 (14 sales) Quartiles by living area: Under 2,512 SF: 1,912–2,493 SF (14 sales); 2,512–3,427 SF: 2,512–3,427 SF (14 sales); 3,440–4,296 SF: 3,440–4,296 SF (14 sales); Over 4,296 SF: 4,359–5,687 SF (14 sales) Quartiles by year built: Before 2018: 2014–2017 (14 sales); 2018–2019: 2018–2019 (16 sales); 2020: 2020–2020 (11 sales); After 2020: 2021–2026 (15 sales) View and no view: View: MLS lists a view (36 sales); No view: None or Neighborhood (18 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 $836,526, median $782,500. Days on market: average 138, median 116: 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
4 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 = 8.72
3
0.0332
p < 0.0063
Unclear
ε² = 0.159
large
Living area
Kruskal–Wallis
H = 46.08
3
< 0.0001
p < 0.0063
Yes
ε² = 0.838
large
Year built
Kruskal–Wallis
H = 1.14
3
0.7664
p < 0.0063
Unclear
ε² = 0.021
small
Days on market
Kruskal–Wallis
H = 1.45
3
0.6936
p < 0.0063
Unclear
ε² = 0.026
small
Discount from original list
Kruskal–Wallis
H = 10.02
3
0.0184
p < 0.0063
Unclear
ε² = 0.182
large
Price cut before sale
Chi-square
χ² = 4.98
3
0.1730
p < 0.0063
Unclear
Cramér’s V = 0.298
small
Seller paid closing costs or repairs
Chi-square
χ² = 3.11
3
0.3754
p < 0.0063
Unclear
Cramér’s V = 0.236
small
Has a view
Chi-square
χ² = 6.22
3
0.1013
p < 0.0063
Unclear
Cramér’s V = 0.333
medium
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 = 43.38
3
< 0.0001
p < 0.0063
Yes
ε² = 0.789
large
Net price per SF
Kruskal–Wallis
H = 1.42
3
0.7020
p < 0.0063
Unclear
ε² = 0.026
small
Year built
Kruskal–Wallis
H = 2.76
3
0.4299
p < 0.0063
Unclear
ε² = 0.050
small
Days on market
Kruskal–Wallis
H = 3.25
3
0.3550
p < 0.0063
Unclear
ε² = 0.059
small
Discount from original list
Kruskal–Wallis
H = 12.79
3
0.0051
p < 0.0063
Yes
ε² = 0.233
large
Price cut before sale
Chi-square
χ² = 2.96
3
0.3984
p < 0.0063
Unclear
Cramér’s V = 0.230
small
Seller paid closing costs or repairs
Chi-square
χ² = 3.69
3
0.2975
p < 0.0063
Unclear
Cramér’s V = 0.257
small
Has a view
Chi-square
χ² = 4.36
3
0.2255
p < 0.0063
Unclear
Cramér’s V = 0.279
small
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 = 2.52
3
0.4710
p < 0.0063
Unclear
ε² = 0.046
small
Net price per SF
Kruskal–Wallis
H = 2.20
3
0.5319
p < 0.0063
Unclear
ε² = 0.040
small
Living area
Kruskal–Wallis
H = 4.64
3
0.2004
p < 0.0063
Unclear
ε² = 0.084
medium
Days on market
Kruskal–Wallis
H = 3.55
3
0.3149
p < 0.0063
Unclear
ε² = 0.064
medium
Discount from original list
Kruskal–Wallis
H = 6.63
3
0.0847
p < 0.0063
Unclear
ε² = 0.121
medium
Price cut before sale
Chi-square
χ² = 5.77
3
0.1234
p < 0.0063
Unclear
Cramér’s V = 0.321
medium
Seller paid closing costs or repairs
Chi-square
χ² = 2.08
3
0.5550
p < 0.0063
Unclear
Cramér’s V = 0.193
small
Has a view
Chi-square
χ² = 0.83
3
0.8427
p < 0.0063
Unclear
Cramér’s V = 0.122
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 = 419.00
—
0.0829
p < 0.0063
Unclear
rank-biserial r = 0.293
small
Net price per SF
Mann–Whitney U
U = 507.00
—
0.0008
p < 0.0063
Yes
rank-biserial r = 0.565
large
Living area
Mann–Whitney U
U = 362.50
—
0.4856
p < 0.0063
Unclear
rank-biserial r = 0.119
small
Year built
Mann–Whitney U
U = 333.50
—
0.8677
p < 0.0063
Unclear
rank-biserial r = 0.029
negligible
Days on market
Mann–Whitney U
U = 352.50
—
0.6074
p < 0.0063
Unclear
rank-biserial r = 0.088
negligible
Discount from original list
Mann–Whitney U
U = 296.50
—
0.6203
p < 0.0063
Unclear
rank-biserial r = 0.085
negligible
Price cut before sale
Chi-square
χ² = 0.18
1
0.6734
p < 0.0063
Unclear
Cramér’s V = 0.057
negligible
Seller paid closing costs or repairs
Chi-square
χ² = 0.61
1
0.4363
p < 0.0063
Unclear
Cramér’s V = 0.106
small
8.4 Data notes
Left out of the analysis: 50 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.