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
45
single-family resale homes
Median net sale price
$977,000
average $989,160
Median net price per SF
$461
average $458
Median days on market
16 days
average 39 days
1. SummaryResale homes · 45 sales · October 26, 2025 – October 25, 2026
This study looks at the 45 resale homes sold in Mueller in the 365 days to October 25, 2026. A full year is used because only 19 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 sold45 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 · 45 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 $1.10M are about 1,210 SF (79%) larger than homes under $860K.
3.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under $860K$860K–$962K$977K–$1.10MOver $1.10M
Higher-priced homes Over $1.10M
Are much larger.
Lower-priced homes Under $860K
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 $860K
$860K–$962K
$977K–$1.10M
Over $1.10M
Real difference?
Net price per SF
$459 per SF
$431 per SF
$459 per SF
$484 per SF
unclear
Living area
1,531 SFSmallest
2,126 SF
2,242 SF
2,746 SFLargest
✓ large
Year built
2011
2008
2011
2018
unclear
Days on market
27 days
32 days
14 days
5 days
unclear
Discount from original list
3.7%
4.9%
2.9%
-0.7%
unclear
Price cut before sale
18%
55%
33%
9%
unclear
Seller paid closing costs or repairs
36%
45%
33%
64%
unclear
Has a view
18%
27%
25%
9%
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 $484 per SF for homes over $1.10M and $459 per SF for homes under $860K. It does not move in a straight line; homes over $1.10M are highest. Defined in 8.1.2.
– No clear difference · could be chance
3.4 Homes over $1.10M are about 1,210 SF (79%) larger than homes under $860K
The average is 2,746 SF for homes over $1.10M and 1,531 SF for homes under $860K. 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 2018 for homes over $1.10M and 2011 for homes under $860K. It does not move in a straight line; homes over $1.10M are highest. Defined in 8.1.4.
– No clear difference · could be chance
3.6 Days on market: no clear difference
The median is 5 days for homes over $1.10M and 27 days for homes under $860K. It does not move in a straight line; homes $860K–$962K 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 -0.7% for homes over $1.10M and 3.7% for homes under $860K. It does not move in a straight line; homes $860K–$962K 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.
9% of homes over $1.10M had a price cut before sale, against 18% of homes under $860K. Defined in 8.1.7.
64% of homes over $1.10M had the seller pay closing costs or repairs, against 36% of homes under $860K. Defined in 8.1.8.
9% of homes over $1.10M have a view, against 18% of homes under $860K. 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 $860K11 sales
$860K–$962K11 sales
$977K–$1.10M12 sales
Over $1.10M11 sales
All45 sales
Real difference?
Net sale price average
$688,787
$912,637
$1,027,321
$1,324,425
$989,160
by design
Net price per SF average
$459
$431
$459
$484
$458
unclear
Living area average
1,531
2,126
2,242
2,746
2,163
✓ large
Year built median
2011
2008
2011
2018
2011
unclear
3.10 The numbers: selling
Under $860K11 sales
$860K–$962K11 sales
$977K–$1.10M12 sales
Over $1.10M11 sales
All45 sales
Real difference?
Days on market median
27
32
14
5
16
unclear
Discount from original list average
3.7%
4.9%
2.9%
−0.7%
2.7%
unclear
Price cut before sale
18%
55%
33%
9%
29%
unclear
Seller paid closing costs or repairs
36%
45%
33%
64%
44%
unclear
Has a view
18%
27%
25%
9%
20%
unclear
Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.1.
4. Quartiles by living areaResale homes · 45 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 2,345 SF sell for about $617K (89%) more than homes under 2,005 SF.
4.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under 2,005 SF2,005–2,122 SF2,192–2,345 SFOver 2,345 SF
Larger homes Over 2,345 SF
Sell for much more.
Smaller homes Under 2,005 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 2,005 SF
2,005–2,122 SF
2,192–2,345 SF
Over 2,345 SF
Real difference?
Net sale price
$695KLowest
$945K
$1.00M
$1.31MHighest
✓ large
Net price per SF
$467 per SF
$456 per SF
$442 per SF
$472 per SF
unclear
Year built
2009
2008
2012
2018
unclear
Days on market
22 days
10 days
34 days
9 days
unclear
Discount from original list
3.4%
2.3%
4.3%
0.5%
unclear
Price cut before sale
18%
20%
46%
27%
unclear
Seller paid closing costs or repairs
36%
50%
38%
55%
unclear
Has a view
18%
40%
15%
9%
unclear
4.3 Homes over 2,345 SF sell for about $617K (89%) more than homes under 2,005 SF
The average is $1.31M for homes over 2,345 SF and $695K for homes under 2,005 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 $472 per SF for homes over 2,345 SF and $467 per SF for homes under 2,005 SF. It does not move in a straight line; homes over 2,345 SF are highest. Defined in 8.1.2.
– No clear difference · could be chance
4.5 Year built: no clear difference
The median is 2018 for homes over 2,345 SF and 2009 for homes under 2,005 SF. It does not move in a straight line; homes over 2,345 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 9 days for homes over 2,345 SF and 22 days for homes under 2,005 SF. It does not move in a straight line; homes 2,192–2,345 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 0.5% for homes over 2,345 SF and 3.4% for homes under 2,005 SF. It does not move in a straight line; homes 2,192–2,345 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.
27% of homes over 2,345 SF had a price cut before sale, against 18% of homes under 2,005 SF. Defined in 8.1.7.
55% of homes over 2,345 SF had the seller pay closing costs or repairs, against 36% of homes under 2,005 SF. Defined in 8.1.8.
9% of homes over 2,345 SF have a view, against 18% of homes under 2,005 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 2,005 SF11 sales
2,005–2,122 SF10 sales
2,192–2,345 SF13 sales
Over 2,345 SF11 sales
All45 sales
Real difference?
Net sale price average
$695,151
$945,211
$998,650
$1,311,907
$989,160
✓ large
Net price per SF average
$467
$456
$442
$472
$458
unclear
Living area average
1,510
2,072
2,262
2,782
2,163
by design
Year built median
2009
2008
2012
2018
2011
unclear
4.10 The numbers: selling
Under 2,005 SF11 sales
2,005–2,122 SF10 sales
2,192–2,345 SF13 sales
Over 2,345 SF11 sales
All45 sales
Real difference?
Days on market median
22
10
34
9
16
unclear
Discount from original list average
3.4%
2.3%
4.3%
0.5%
2.7%
unclear
Price cut before sale
18%
20%
46%
27%
29%
unclear
Seller paid closing costs or repairs
36%
50%
38%
55%
44%
unclear
Has a view
18%
40%
15%
9%
20%
unclear
Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.2.
5. Quartiles by year builtResale homes · 45 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 2009
2009–2010
2011–2017
After 2017
Real difference?
Net sale price
$948K
$922K
$929K
$1.15M
unclear
Net price per SF
$466 per SF
$455 per SF
$438 per SF
$473 per SF
unclear
Living area
2,062 SF
2,030 SF
2,116 SF
2,429 SF
unclear
Days on market
9 days
8 days
34 days
16 days
unclear
Discount from original list
3.4%
0.6%
3.9%
1.4%
unclear
Price cut before sale
33%
0%
46%
18%
unclear
Seller paid closing costs or repairs
33%
50%
38%
64%
unclear
Has a view
13%
33%
15%
27%
unclear
5.3 Net sale price: no clear difference
The average is $1.15M for homes built after 2017 and $948K for homes built before 2009. It does not move in a straight line; homes built after 2017 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 $473 per SF for homes built after 2017 and $466 per SF for homes built before 2009. It does not move in a straight line; homes built after 2017 are highest. Defined in 8.1.2.
– No clear difference · could be chance
5.5 Living area: no clear difference
The average is 2,429 SF for homes built after 2017 and 2,062 SF for homes built before 2009. It does not move in a straight line; homes built after 2017 are highest. Defined in 8.1.3.
– No clear difference · could be chance
5.6 Days on market: no clear difference
The median is 16 days for homes built after 2017 and 9 days for homes built before 2009. It does not move in a straight line; homes built 2011–2017 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 1.4% for homes built after 2017 and 3.4% for homes built before 2009. It does not move in a straight line; homes built 2011–2017 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.
18% of homes built after 2017 had a price cut before sale, against 33% of homes built before 2009. Defined in 8.1.7.
64% of homes built after 2017 had the seller pay closing costs or repairs, against 33% of homes built before 2009. Defined in 8.1.8.
27% of homes built after 2017 have a view, against 13% of homes built before 2009. 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 200915 sales
2009–20106 sales
2011–201713 sales
After 201711 sales
All45 sales
Real difference?
Net sale price average
$947,907
$922,225
$928,778
$1,153,285
$989,160
unclear
Net price per SF average
$466
$455
$438
$473
$458
unclear
Living area average
2,062
2,030
2,116
2,429
2,163
unclear
Year built median
2008
2009
2015
2021
2011
by design
5.10 The numbers: selling
Before 200915 sales
2009–20106 sales
2011–201713 sales
After 201711 sales
All45 sales
Real difference?
Days on market median
9
8
34
16
16
unclear
Discount from original list average
3.4%
0.6%
3.9%
1.4%
2.7%
unclear
Price cut before sale
33%
0%
46%
18%
29%
unclear
Seller paid closing costs or repairs
33%
50%
38%
64%
44%
unclear
Has a view
13%
33%
15%
27%
20%
unclear
Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.3.
6. View and no viewResale homes · 45 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
$966K
$1.00M
unclear
Net price per SF
$460 per SF
$458 per SF
unclear
Living area
2,097 SF
2,179 SF
unclear
Year built
2011
2012
unclear
Days on market
16 days
14 days
unclear
Discount from original list
3.0%
2.6%
unclear
Price cut before sale
11%
33%
unclear
Seller paid closing costs or repairs
56%
42%
unclear
6.3 Net sale price: no clear difference
The average is $966K for homes with a view and $1.00M 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 $460 per SF for homes with a view and $458 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 2,097 SF for homes with a view and 2,179 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 2011 for homes with a view and 2012 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 16 days for homes with a view and 14 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 3.0% for homes with a view and 2.6% 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.
11% of homes with a view had a price cut before sale, against 33% of homes without a view. Defined in 8.1.7.
56% of homes with a view had the seller pay closing costs or repairs, against 42% 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 view36 sales
All45 sales
Real difference?
Net sale price average
$965,546
$995,064
$989,160
unclear
Net price per SF average
$460
$458
$458
unclear
Living area average
2,097
2,179
2,163
unclear
Year built median
2011
2012
2011
unclear
6.11 The numbers: selling
View9 sales
No view36 sales
All45 sales
Real difference?
Days on market median
16
14
16
unclear
Discount from original list average
3.0%
2.6%
2.7%
unclear
Price cut before sale
11%
33%
29%
unclear
Seller paid closing costs or repairs
56%
42%
44%
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 · 3 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: 3 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 Mueller.
Measure
Average
Median
Sales
3
Net sale price
$1,153,000
$1,140,000
Net price per SF
$571
$563
Living area (SF)
2,031
2,090
Days on market
118
81
Discount from original list
2.0%
1.1%
Price cut before sale
67% of sales
Seller paid closing costs or repairs
33% of sales
Year built
2025–2026
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
45 resale sales. Average $989,160; median $977,000; standard deviation $250,762; middle half (25th–75th percentile) $860,000–$1,100,000; lowest $590,000, highest $1,629,975. 20 sales had a seller payment; their median payment was $1,950.
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
45 resale sales. Average $458; median $461; standard deviation $44; middle half (25th–75th percentile) $429–$488; lowest $360, highest $583.
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
45 resale sales. Average 2,163; median 2,192; standard deviation 511; middle half (25th–75th percentile) 2,005–2,345; lowest 1,051, highest 3,439.
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
45 resale sales. Average 2013; median 2011; standard deviation 5; middle half (25th–75th percentile) 2008–2017; lowest 2007, highest 2023.
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
45 resale sales. Average 39; median 16; standard deviation 73; middle half (25th–75th percentile) 5–45; lowest 0, highest 408. 3 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
45 resale sales. Average 2.7%; median 2.5%; standard deviation 4.8%; middle half (25th–75th percentile) 0.2%–4.7%; lowest −11.1%, highest 15.2%. 9 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
13 of 45 resale sales (28.9%).
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
20 of 45 resale sales (44.4%).
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, 36 without, 0 unclassified. Most common View entries: None 30, Neighborhood 7, Park/Greenbelt 6, Pond 2, City 1, Golf Course 1, Garden 1, Water 1.
8.2 Methods
8.2.1 Data source
In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
Bridge Interactive RESO Web API (OData), ABOR dataset, every field returned. Filter: StandardStatus = Closed, PropertyType = Residential, City = Austin, SubdivisionName contains any of “mueller” (case-insensitive). A record is kept when its subdivision name belongs to the Mueller family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 95 closed Mueller records over the prior year, in ZIP 78723. 14 subdivision spellings kept, the most common: Mueller (17); Mueller Sec 11 Sub (13); Mueller Sec 04 Amd (11); Mueller Sec 05 (10); Mueller Sec Vii-C Sub Amd (10); Mueller Sec Ix Sub Amd (9); Mueller Sec 10 A Sub (8); Mueller Sec Vi Sub (4); Mueller Sec 11 (4); Mueller Sec I-C Ph 1 Sub (3); Mueller Sec 05 Resub (2); Mueller Sec 10A (2); and 2 more (2 records). Names found by the search but not part of Mueller, left out: Parkside/Mueller Condos (7); 52 MUELLER CONDOMINIUMS (3); Mueller Fred A (1); Wendlandt & Mueller (1); MUELLER HOUSES II AMENDED (1); Mueller Garden Homes (1); Concourse at Mueller Condominiums (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 19 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
48 single-family sales in the window: 45 resale, 3 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
45 resale; 3 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
47 sale(s) other than single-family homes (condo, townhome and similar)
8.2.5 Quartiles and groups
In simple terms
Sales lined up from lowest to highest and cut into four groups of about equal size. Each group is named by its range, for example “Under $860K”.
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 $860K: $590,000–$790,000 (11 sales); $860K–$962K: $860,000–$962,010 (11 sales); $977K–$1.10M: $977,000–$1,100,000 (12 sales); Over $1.10M: $1,102,500–$1,629,975 (11 sales) Quartiles by living area: Under 2,005 SF: 1,051–1,880 SF (11 sales); 2,005–2,122 SF: 2,005–2,122 SF (10 sales); 2,192–2,345 SF: 2,192–2,345 SF (13 sales); Over 2,345 SF: 2,376–3,439 SF (11 sales) Quartiles by year built: Before 2009: 2007–2008 (15 sales); 2009–2010: 2009–2010 (6 sales); 2011–2017: 2011–2017 (13 sales); After 2017: 2018–2023 (11 sales) View and no view: View: MLS lists a view (9 sales); No view: None or Neighborhood (36 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 $989,160, median $977,000. Days on market: average 39, median 16: 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 = 10.33
3
0.0160
p < 0.0063
Unclear
ε² = 0.235
large
Living area
Kruskal–Wallis
H = 32.87
3
< 0.0001
p < 0.0063
Yes
ε² = 0.747
large
Year built
Kruskal–Wallis
H = 9.97
3
0.0188
p < 0.0063
Unclear
ε² = 0.227
large
Days on market
Kruskal–Wallis
H = 8.27
3
0.0407
p < 0.0063
Unclear
ε² = 0.188
large
Discount from original list
Kruskal–Wallis
H = 6.43
3
0.0923
p < 0.0063
Unclear
ε² = 0.146
large
Price cut before sale
Chi-square
χ² = 6.35
3
0.0957
p < 0.0063
Unclear
Cramér’s V = 0.376
medium
Seller paid closing costs or repairs
Chi-square
χ² = 2.54
3
0.4688
p < 0.0063
Unclear
Cramér’s V = 0.237
small
Has a view
Chi-square
χ² = 1.39
3
0.7074
p < 0.0063
Unclear
Cramér’s V = 0.176
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 = 35.06
3
< 0.0001
p < 0.0063
Yes
ε² = 0.797
large
Net price per SF
Kruskal–Wallis
H = 3.02
3
0.3890
p < 0.0063
Unclear
ε² = 0.069
medium
Year built
Kruskal–Wallis
H = 9.40
3
0.0244
p < 0.0063
Unclear
ε² = 0.214
large
Days on market
Kruskal–Wallis
H = 3.50
3
0.3204
p < 0.0063
Unclear
ε² = 0.080
medium
Discount from original list
Kruskal–Wallis
H = 2.08
3
0.5559
p < 0.0063
Unclear
ε² = 0.047
small
Price cut before sale
Chi-square
χ² = 2.90
3
0.4075
p < 0.0063
Unclear
Cramér’s V = 0.254
small
Seller paid closing costs or repairs
Chi-square
χ² = 1.06
3
0.7870
p < 0.0063
Unclear
Cramér’s V = 0.153
small
Has a view
Chi-square
χ² = 3.51
3
0.3190
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 = 5.43
3
0.1430
p < 0.0063
Unclear
ε² = 0.123
medium
Net price per SF
Kruskal–Wallis
H = 5.67
3
0.1291
p < 0.0063
Unclear
ε² = 0.129
medium
Living area
Kruskal–Wallis
H = 3.99
3
0.2624
p < 0.0063
Unclear
ε² = 0.091
medium
Days on market
Kruskal–Wallis
H = 2.92
3
0.4042
p < 0.0063
Unclear
ε² = 0.066
medium
Discount from original list
Kruskal–Wallis
H = 3.36
3
0.3396
p < 0.0063
Unclear
ε² = 0.076
medium
Price cut before sale
Chi-square
χ² = 5.08
3
0.1659
p < 0.0063
Unclear
Cramér’s V = 0.336
medium
Seller paid closing costs or repairs
Chi-square
χ² = 2.65
3
0.4480
p < 0.0063
Unclear
Cramér’s V = 0.243
small
Has a view
Chi-square
χ² = 1.62
3
0.6549
p < 0.0063
Unclear
Cramér’s V = 0.190
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 = 148.00
—
0.7016
p < 0.0063
Unclear
rank-biserial r = 0.086
negligible
Net price per SF
Mann–Whitney U
U = 162.00
—
1.0000
p < 0.0063
Unclear
rank-biserial r = 0.000
negligible
Living area
Mann–Whitney U
U = 122.00
—
0.2620
p < 0.0063
Unclear
rank-biserial r = 0.247
small
Year built
Mann–Whitney U
U = 183.50
—
0.5475
p < 0.0063
Unclear
rank-biserial r = 0.133
small
Days on market
Mann–Whitney U
U = 167.50
—
0.8870
p < 0.0063
Unclear
rank-biserial r = 0.034
negligible
Discount from original list
Mann–Whitney U
U = 185.00
—
0.5232
p < 0.0063
Unclear
rank-biserial r = 0.142
small
Price cut before sale
Chi-square
χ² = 1.73
1
0.1883
p < 0.0063
Unclear
Cramér’s V = 0.196
small
Seller paid closing costs or repairs
Chi-square
χ² = 0.56
1
0.4533
p < 0.0063
Unclear
Cramér’s V = 0.112
small
8.4 Data notes
Left out of the analysis: 3 new-construction sales (basic statistics only, section 7); 47 sale(s) other than single-family homes (condo, townhome and similar). 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.