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
28
single-family resale homes
Median net sale price
$258,400
average $263,450
Median net price per SF
$129
average $131
Median days on market
74 days
average 89 days
1. SummaryResale homes · 28 sales · October 26, 2025 – October 25, 2026
This study looks at the 28 resale homes sold in Waterleaf 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 sold28 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 · 28 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 $286K are about 900 SF (52%) larger than homes under $230K.
3.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under $230K$230K–$257K$260K–$286KOver $286K
Higher-priced homes Over $286K
Are much larger.
Lower-priced homes Under $230K
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 $230K
$230K–$257K
$260K–$286K
Over $286K
Real difference?
Net price per SF
$128 per SF
$145 per SF
$128 per SF
$122 per SF
unclear
Living area
1,732 SFSmallest
1,751 SF
2,181 SF
2,635 SFLargest
✓ large
Year built
2006
2006
2009
2012
unclear
Days on market
92 days
36 days
69 days
46 days
unclear
Discount from original list
14.6%
7.1%
9.5%
7.4%
unclear
Price cut before sale
86%
14%
57%
43%
unclear
Seller paid closing costs or repairs
71%
86%
86%
86%
unclear
Has a view
14%
43%
43%
29%
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 $122 per SF for homes over $286K and $128 per SF for homes under $230K. It does not move in a straight line; homes $230K–$257K are highest. Defined in 8.1.2.
– No clear difference · could be chance
3.4 Homes over $286K are about 900 SF (52%) larger than homes under $230K
The average is 2,635 SF for homes over $286K and 1,732 SF for homes under $230K. 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 2012 for homes over $286K and 2006 for homes under $230K. 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 46 days for homes over $286K and 92 days for homes under $230K. It does not move in a straight line; homes under $230K 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 7.4% for homes over $286K and 14.6% for homes under $230K. It does not move in a straight line; homes under $230K 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.
43% of homes over $286K had a price cut before sale, against 86% of homes under $230K. Defined in 8.1.7.
86% of homes over $286K had the seller pay closing costs or repairs, against 71% of homes under $230K. Defined in 8.1.8.
29% of homes over $286K have a view, against 14% of homes under $230K. 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 $230K7 sales
$230K–$257K7 sales
$260K–$286K7 sales
Over $286K7 sales
All28 sales
Real difference?
Net sale price average
$217,553
$247,014
$273,814
$315,417
$263,450
by design
Net price per SF average
$128
$145
$128
$122
$131
unclear
Living area average
1,732
1,751
2,181
2,635
2,075
✓ large
Year built median
2006
2006
2009
2012
2009
unclear
3.10 The numbers: selling
Under $230K7 sales
$230K–$257K7 sales
$260K–$286K7 sales
Over $286K7 sales
All28 sales
Real difference?
Days on market median
92
36
69
46
74
unclear
Discount from original list average
14.6%
7.1%
9.5%
7.4%
9.6%
unclear
Price cut before sale
86%
14%
57%
43%
50%
unclear
Seller paid closing costs or repairs
71%
86%
86%
86%
82%
unclear
Has a view
14%
43%
43%
29%
32%
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 · 28 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 2,110 SF sell for about $77K (33%) more than homes under 1,796 SF.
Homes over 2,110 SF sell for about $38 per SF (25%) less than homes under 1,796 SF.
4.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under 1,796 SF1,796–1,964 SF1,991–2,110 SFOver 2,110 SF
Larger homes Over 2,110 SF
Sell for much more.
Sell for less per square foot.
Smaller homes Under 1,796 SF
Sell for much less.
Sell for more per square foot.
4.2 At a glance
Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.
Under 1,796 SF
1,796–1,964 SF
1,991–2,110 SF
Over 2,110 SF
Real difference?
Net sale price
$232KLowest
$240K
$264K
$309KHighest
✓ large
Net price per SF
$153 per SFHighest
$127 per SF
$131 per SF
$115 per SFLowest
✓ large
Year built
2006
2007
2009
2010
unclear
Days on market
92 days
80 days
69 days
40 days
unclear
Discount from original list
8.5%
12.2%
12.0%
6.8%
unclear
Price cut before sale
43%
50%
71%
38%
unclear
Seller paid closing costs or repairs
71%
67%
100%
88%
unclear
Has a view
14%
67%
29%
25%
unclear
4.3 Homes over 2,110 SF sell for about $77K (33%) more than homes under 1,796 SF
The average is $309K for homes over 2,110 SF and $232K for homes under 1,796 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.
✓ Real difference · large
4.4 Homes over 2,110 SF sell for about $38 per SF (25%) less than homes under 1,796 SF
The average is $115 per SF for homes over 2,110 SF and $153 per SF for homes under 1,796 SF. It does not move in a straight line; homes under 1,796 SF are highest. Defined in 8.1.2.
✓ Real difference · large
4.5 Year built: no clear difference
The median is 2010 for homes over 2,110 SF and 2006 for homes under 1,796 SF. It rises 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 40 days for homes over 2,110 SF and 92 days for homes under 1,796 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.5.
– No clear difference · could be chance
4.7 Discount from original list: no clear difference
The average is 6.8% for homes over 2,110 SF and 8.5% for homes under 1,796 SF. It does not move in a straight line; homes 1,796–1,964 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.
38% of homes over 2,110 SF had a price cut before sale, against 43% of homes under 1,796 SF. Defined in 8.1.7.
88% of homes over 2,110 SF had the seller pay closing costs or repairs, against 71% of homes under 1,796 SF. Defined in 8.1.8.
25% of homes over 2,110 SF have a view, against 14% of homes under 1,796 SF. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance
4.9 The numbers: price and size
Under 1,796 SF7 sales
1,796–1,964 SF6 sales
1,991–2,110 SF7 sales
Over 2,110 SF8 sales
All28 sales
Real difference?
Net sale price average
$231,593
$239,970
$263,867
$308,569
$263,450
✓ large
Net price per SF average
$153
$127
$131
$115
$131
✓ large
Living area average
1,544
1,902
2,020
2,717
2,075
by design
Year built median
2006
2007
2009
2010
2009
unclear
4.10 The numbers: selling
Under 1,796 SF7 sales
1,796–1,964 SF6 sales
1,991–2,110 SF7 sales
Over 2,110 SF8 sales
All28 sales
Real difference?
Days on market median
92
80
69
40
74
unclear
Discount from original list average
8.5%
12.2%
12.0%
6.8%
9.6%
unclear
Price cut before sale
43%
50%
71%
38%
50%
unclear
Seller paid closing costs or repairs
71%
67%
100%
88%
82%
unclear
Has a view
14%
67%
29%
25%
32%
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 · 28 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 2006
2006–2007
2009–2012
After 2012
Real difference?
Net sale price
$242K
$272K
$266K
$275K
unclear
Net price per SF
$128 per SF
$131 per SF
$140 per SF
$123 per SF
unclear
Living area
1,951 SF
2,103 SF
1,978 SF
2,286 SF
unclear
Days on market
128 days
90 days
59 days
34 days
unclear
Discount from original list
8.7%
8.7%
10.9%
10.0%
unclear
Price cut before sale
57%
50%
50%
43%
unclear
Seller paid closing costs or repairs
100%
67%
88%
71%
unclear
Has a view
29%
67%
25%
14%
unclear
5.3 Net sale price: no clear difference
The average is $275K for homes built after 2012 and $242K for homes built before 2006. It does not move in a straight line; homes built after 2012 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 $123 per SF for homes built after 2012 and $128 per SF for homes built before 2006. It does not move in a straight line; homes built 2009–2012 are highest. Defined in 8.1.2.
– No clear difference · could be chance
5.5 Living area: no clear difference
The average is 2,286 SF for homes built after 2012 and 1,951 SF for homes built before 2006. It does not move in a straight line; homes built after 2012 are highest. Defined in 8.1.3.
– No clear difference · could be chance
5.6 Days on market: no clear difference
The median is 34 days for homes built after 2012 and 128 days for homes built before 2006. It falls step by step from the lowest range to the highest. Defined in 8.1.5.
– No clear difference · could be chance
5.7 Discount from original list: no clear difference
The average is 10.0% for homes built after 2012 and 8.7% for homes built before 2006. It does not move in a straight line; homes built 2009–2012 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.
43% of homes built after 2012 had a price cut before sale, against 57% of homes built before 2006. Defined in 8.1.7.
71% of homes built after 2012 had the seller pay closing costs or repairs, against 100% of homes built before 2006. Defined in 8.1.8.
14% of homes built after 2012 have a view, against 29% of homes built before 2006. 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 20067 sales
2006–20076 sales
2009–20128 sales
After 20127 sales
All28 sales
Real difference?
Net sale price average
$241,546
$272,100
$265,958
$275,072
$263,450
unclear
Net price per SF average
$128
$131
$140
$123
$131
unclear
Living area average
1,951
2,103
1,978
2,286
2,075
unclear
Year built median
2004
2006
2009
2014
2009
by design
5.10 The numbers: selling
Before 20067 sales
2006–20076 sales
2009–20128 sales
After 20127 sales
All28 sales
Real difference?
Days on market median
128
90
59
34
74
unclear
Discount from original list average
8.7%
8.7%
10.9%
10.0%
9.6%
unclear
Price cut before sale
57%
50%
50%
43%
50%
unclear
Seller paid closing costs or repairs
100%
67%
88%
71%
82%
unclear
Has a view
29%
67%
25%
14%
32%
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 · 28 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. 1 sales whose MLS view entry is only “See Remarks” are left out.
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
$270K
$263K
unclear
Net price per SF
$133 per SF
$129 per SF
unclear
Living area
2,051 SF
2,119 SF
unclear
Year built
2007
2010
unclear
Days on market
46 days
74 days
unclear
Discount from original list
8.3%
10.2%
unclear
Price cut before sale
33%
56%
unclear
Seller paid closing costs or repairs
67%
89%
unclear
6.3 Net sale price: no clear difference
The average is $270K for homes with a view and $263K 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 $133 per SF for homes with a view and $129 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 2,051 SF for homes with a view and 2,119 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 2007 for homes with a view and 2010 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 46 days for homes with a view and 74 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 8.3% for homes with a view and 10.2% 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.
33% of homes with a view had a price cut before sale, against 56% of homes without a view. Defined in 8.1.7.
67% of homes with a view had the seller pay closing costs or repairs, against 89% 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
View9 sales
No view18 sales
All27 sales
Real difference?
Net sale price average
$269,756
$263,322
$265,466
unclear
Net price per SF average
$133
$129
$131
unclear
Living area average
2,051
2,119
2,096
unclear
Year built median
2007
2010
2009
unclear
6.11 The numbers: selling
View9 sales
No view18 sales
All27 sales
Real difference?
Days on market median
46
74
69
unclear
Discount from original list average
8.3%
10.2%
9.5%
unclear
Price cut before sale
33%
56%
48%
unclear
Seller paid closing costs or repairs
67%
89%
81%
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 Waterleaf.
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
28 resale sales. Average $263,450; median $258,400; standard deviation $39,241; middle half (25th–75th percentile) $229,500–$286,400; lowest $200,000, highest $355,000. 23 sales had a seller payment; their median payment was $9,000.
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
28 resale sales. Average $131; median $129; standard deviation $22; middle half (25th–75th percentile) $118–$141; lowest $93, highest $208.
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
28 resale sales. Average 2,075; median 1,991; standard deviation 514; middle half (25th–75th percentile) 1,793–2,245; lowest 1,106, highest 3,560.
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
28 resale sales. Average 2009; median 2009; standard deviation 4; middle half (25th–75th percentile) 2006–2012; lowest 2003, highest 2015.
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
28 resale sales. Average 89; median 74; standard deviation 77; middle half (25th–75th percentile) 32–130; lowest 4, highest 281. 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
28 resale sales. Average 9.6%; median 9.2%; standard deviation 7.1%; middle half (25th–75th percentile) 4.5%–13.3%; lowest 0.0%, highest 27.3%. 0 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 28 resale sales (50.0%).
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 28 resale sales (82.1%).
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
9 sales with a view, 18 without, 1 unclassified. Most common View entries: None 14, Neighborhood 7, Park/Greenbelt 6, Trees/Woods 3, See Remarks 2, Pasture 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 = Kyle, SubdivisionName contains any of “waterleaf” (case-insensitive). A record is kept when its subdivision name belongs to the Waterleaf family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 28 closed Waterleaf records over the prior year, in ZIP 78640. 11 subdivision spellings kept: Waterleaf Ph A Sec 1 (6); Waterleaf Ph B Sec 1 (6); Waterleaf Ph A Sec 2 (4); Waterleaf Ph A Sec 4 (2); Waterleaf Ph A Sec 3A (2); Waterleaf Ph B Sec 4 (2); Waterleaf Ph B Sec 5 (2); Waterleaf Ph B Sec 2 (1); Waterleaf Ph B Sec 3B (1); Waterleaf Ph A Sec 3B (1); Waterleaf Ph B Sec 3a (1). Names found by the search but not part of Waterleaf, left out: S9334 - WATERLEAF PHASE B SEC 2 (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 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
28 single-family sales in the window: 28 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
28 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 $230K”.
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 $230K: $200,000–$228,000 (7 sales); $230K–$257K: $230,000–$256,900 (7 sales); $260K–$286K: $259,900–$285,900 (7 sales); Over $286K: $287,900–$355,000 (7 sales) Quartiles by living area: Under 1,796 SF: 1,106–1,784 SF (7 sales); 1,796–1,964 SF: 1,796–1,964 SF (6 sales); 1,991–2,110 SF: 1,991–2,110 SF (7 sales); Over 2,110 SF: 2,245–3,560 SF (8 sales) Quartiles by year built: Before 2006: 2003–2005 (7 sales); 2006–2007: 2006–2007 (6 sales); 2009–2012: 2009–2012 (8 sales); After 2012: 2013–2015 (7 sales) View and no view: View: MLS lists a view (9 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 $263,450, median $258,400. Days on market: average 89, median 74: 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
3 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 = 4.08
3
0.2529
p < 0.0063
Unclear
ε² = 0.151
large
Living area
Kruskal–Wallis
H = 17.65
3
0.0005
p < 0.0063
Yes
ε² = 0.654
large
Year built
Kruskal–Wallis
H = 5.27
3
0.1528
p < 0.0063
Unclear
ε² = 0.195
large
Days on market
Kruskal–Wallis
H = 1.97
3
0.5787
p < 0.0063
Unclear
ε² = 0.073
medium
Discount from original list
Kruskal–Wallis
H = 6.54
3
0.0881
p < 0.0063
Unclear
ε² = 0.242
large
Price cut before sale
Chi-square
χ² = 7.43
3
0.0594
p < 0.0063
Unclear
Cramér’s V = 0.515
large
Seller paid closing costs or repairs
Chi-square
χ² = 0.73
3
0.8660
p < 0.0063
Unclear
Cramér’s V = 0.162
small
Has a view
Chi-square
χ² = 1.80
3
0.6147
p < 0.0063
Unclear
Cramér’s V = 0.254
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 = 17.88
3
0.0005
p < 0.0063
Yes
ε² = 0.662
large
Net price per SF
Kruskal–Wallis
H = 13.31
3
0.0040
p < 0.0063
Yes
ε² = 0.493
large
Year built
Kruskal–Wallis
H = 2.31
3
0.5101
p < 0.0063
Unclear
ε² = 0.086
medium
Days on market
Kruskal–Wallis
H = 0.81
3
0.8479
p < 0.0063
Unclear
ε² = 0.030
small
Discount from original list
Kruskal–Wallis
H = 1.97
3
0.5779
p < 0.0063
Unclear
ε² = 0.073
medium
Price cut before sale
Chi-square
χ² = 1.93
3
0.5874
p < 0.0063
Unclear
Cramér’s V = 0.262
small
Seller paid closing costs or repairs
Chi-square
χ² = 3.21
3
0.3610
p < 0.0063
Unclear
Cramér’s V = 0.338
medium
Has a view
Chi-square
χ² = 4.53
3
0.2096
p < 0.0063
Unclear
Cramér’s V = 0.402
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 = 3.67
3
0.2997
p < 0.0063
Unclear
ε² = 0.136
medium
Net price per SF
Kruskal–Wallis
H = 1.28
3
0.7338
p < 0.0063
Unclear
ε² = 0.047
small
Living area
Kruskal–Wallis
H = 1.91
3
0.5906
p < 0.0063
Unclear
ε² = 0.071
medium
Days on market
Kruskal–Wallis
H = 3.21
3
0.3601
p < 0.0063
Unclear
ε² = 0.119
medium
Discount from original list
Kruskal–Wallis
H = 0.67
3
0.8810
p < 0.0063
Unclear
ε² = 0.025
small
Price cut before sale
Chi-square
χ² = 0.29
3
0.9627
p < 0.0063
Unclear
Cramér’s V = 0.101
small
Seller paid closing costs or repairs
Chi-square
χ² = 3.21
3
0.3610
p < 0.0063
Unclear
Cramér’s V = 0.338
medium
Has a view
Chi-square
χ² = 4.53
3
0.2096
p < 0.0063
Unclear
Cramér’s V = 0.402
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 = 92.00
—
0.5892
p < 0.0063
Unclear
rank-biserial r = 0.136
small
Net price per SF
Mann–Whitney U
U = 101.00
—
0.3159
p < 0.0063
Unclear
rank-biserial r = 0.247
small
Living area
Mann–Whitney U
U = 73.00
—
0.6992
p < 0.0063
Unclear
rank-biserial r = 0.099
negligible
Year built
Mann–Whitney U
U = 52.50
—
0.1472
p < 0.0063
Unclear
rank-biserial r = 0.352
medium
Days on market
Mann–Whitney U
U = 67.00
—
0.4875
p < 0.0063
Unclear
rank-biserial r = 0.173
small
Discount from original list
Mann–Whitney U
U = 58.00
—
0.2471
p < 0.0063
Unclear
rank-biserial r = 0.284
small
Price cut before sale
Chi-square
χ² = 1.19
1
0.2760
p < 0.0063
Unclear
Cramér’s V = 0.210
small
Seller paid closing costs or repairs
Chi-square
χ² = 1.96
1
0.1611
p < 0.0063
Unclear
Cramér’s V = 0.270
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.