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
46
single-family resale homes
Median net sale price
$963,162
average $1,053,039
Median net price per SF
$302
average $307
Median days on market
38 days
average 59 days
1. SummaryResale homes · 46 sales · November 7, 2025 – November 6, 2026
This study looks at the 46 resale homes sold in River Place in the 365 days to November 6, 2026. A full year is used because only 25 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 sold46 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 · 46 sales · November 7, 2025 – November 6, 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 $1.20M are about 1,460 SF (55%) larger than homes under $858K.
Homes over $1.20M sell for about $58 per SF (20%) more than homes under $858K.
3.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under $858K$858K–$960K$966K–$1.20MOver $1.20M
Higher-priced homes Over $1.20M
Are much larger.
Sell for more per square foot.
Lower-priced homes Under $858K
Are much smaller.
Sell for less per square foot.
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 $858K
$858K–$960K
$966K–$1.20M
Over $1.20M
Real difference?
Net price per SF
$294 per SF
$269 per SFLowest
$311 per SF
$352 per SFHighest
✓ large
Living area
2,680 SFSmallest
3,423 SF
3,504 SF
4,144 SFLargest
✓ large
Year built
1996
1996
1997
1998
unclear
Days on market
30 days
67 days
74 days
11 days
unclear
Discount from original list
5.4%
6.6%
7.5%
4.0%
unclear
Price cut before sale
33%
45%
45%
8%
unclear
Seller paid closing costs or repairs
75%
45%
36%
50%
unclear
Has a view
33%
73%
82%
92%
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 Homes over $1.20M sell for about $58 per SF (20%) more than homes under $858K
The average is $352 per SF for homes over $1.20M and $294 per SF for homes under $858K. It does not move in a straight line; homes over $1.20M are highest. Defined in 8.1.2.
✓ Real difference · large
3.4 Homes over $1.20M are about 1,460 SF (55%) larger than homes under $858K
The average is 4,144 SF for homes over $1.20M and 2,680 SF for homes under $858K. 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 1998 for homes over $1.20M and 1996 for homes under $858K. 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 11 days for homes over $1.20M and 30 days for homes under $858K. It does not move in a straight line; homes $966K–$1.20M 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 4.0% for homes over $1.20M and 5.4% for homes under $858K. It does not move in a straight line; homes $966K–$1.20M 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.
8% of homes over $1.20M had a price cut before sale, against 33% of homes under $858K. Defined in 8.1.7.
50% of homes over $1.20M had the seller pay closing costs or repairs, against 75% of homes under $858K. Defined in 8.1.8.
92% of homes over $1.20M have a view, against 33% of homes under $858K. 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 $858K12 sales
$858K–$960K11 sales
$966K–$1.20M11 sales
Over $1.20M12 sales
All46 sales
Real difference?
Net sale price average
$773,383
$909,949
$1,079,130
$1,439,944
$1,053,039
by design
Net price per SF average
$294
$269
$311
$352
$307
✓ large
Living area average
2,680
3,423
3,504
4,144
3,436
✓ large
Year built median
1996
1996
1997
1998
1996
unclear
3.10 The numbers: selling
Under $858K12 sales
$858K–$960K11 sales
$966K–$1.20M11 sales
Over $1.20M12 sales
All46 sales
Real difference?
Days on market median
30
67
74
11
38
unclear
Discount from original list average
5.4%
6.6%
7.5%
4.0%
5.8%
unclear
Price cut before sale
33%
45%
45%
8%
33%
unclear
Seller paid closing costs or repairs
75%
45%
36%
50%
52%
unclear
Has a view
33%
73%
82%
92%
70%
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 · 46 sales · November 7, 2025 – November 6, 2026
Sales ranked by living area and cut into four equal groups, from the smallest homes to the largest.
Bottom line
Homes over 3,693 SF sell for about $489K (60%) more than homes under 3,065 SF.
4.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under 3,065 SF3,065–3,366 SF3,430–3,693 SFOver 3,693 SF
Larger homes Over 3,693 SF
Sell for much more.
Smaller homes Under 3,065 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 3,065 SF
3,065–3,366 SF
3,430–3,693 SF
Over 3,693 SF
Real difference?
Net sale price
$814KLowest
$1.01M
$1.09M
$1.30MHighest
✓ large
Net price per SF
$315 per SF
$311 per SF
$307 per SF
$295 per SF
unclear
Year built
1996
1995
1998
1999
unclear
Days on market
18 days
44 days
60 days
62 days
unclear
Discount from original list
4.0%
3.9%
6.8%
8.9%
unclear
Price cut before sale
25%
33%
30%
42%
unclear
Seller paid closing costs or repairs
50%
50%
40%
67%
unclear
Has a view
50%
75%
70%
83%
unclear
4.3 Homes over 3,693 SF sell for about $489K (60%) more than homes under 3,065 SF
The average is $1.30M for homes over 3,693 SF and $814K for homes under 3,065 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 $295 per SF for homes over 3,693 SF and $315 per SF for homes under 3,065 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.
– No clear difference · could be chance
4.5 Year built: no clear difference
The median is 1999 for homes over 3,693 SF and 1996 for homes under 3,065 SF. It does not move in a straight line; homes over 3,693 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 62 days for homes over 3,693 SF and 18 days for homes under 3,065 SF. It rises 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 8.9% for homes over 3,693 SF and 4.0% for homes under 3,065 SF. It does not move in a straight line; homes over 3,693 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.
42% of homes over 3,693 SF had a price cut before sale, against 25% of homes under 3,065 SF. Defined in 8.1.7.
67% of homes over 3,693 SF had the seller pay closing costs or repairs, against 50% of homes under 3,065 SF. Defined in 8.1.8.
83% of homes over 3,693 SF have a view, against 50% of homes under 3,065 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 3,065 SF12 sales
3,065–3,366 SF12 sales
3,430–3,693 SF10 sales
Over 3,693 SF12 sales
All46 sales
Real difference?
Net sale price average
$814,152
$1,011,454
$1,089,980
$1,302,726
$1,053,039
✓ large
Net price per SF average
$315
$311
$307
$295
$307
unclear
Living area average
2,589
3,244
3,555
4,377
3,436
by design
Year built median
1996
1995
1998
1999
1996
unclear
4.10 The numbers: selling
Under 3,065 SF12 sales
3,065–3,366 SF12 sales
3,430–3,693 SF10 sales
Over 3,693 SF12 sales
All46 sales
Real difference?
Days on market median
18
44
60
62
38
unclear
Discount from original list average
4.0%
3.9%
6.8%
8.9%
5.8%
unclear
Price cut before sale
25%
33%
30%
42%
33%
unclear
Seller paid closing costs or repairs
50%
50%
40%
67%
52%
unclear
Has a view
50%
75%
70%
83%
70%
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 · 46 sales · November 7, 2025 – November 6, 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 1995
1995–1996
1997–1999
After 1999
Real difference?
Net sale price
$1.03M
$918K
$1.01M
$1.26M
unclear
Net price per SF
$300 per SF
$309 per SF
$311 per SF
$309 per SF
unclear
Living area
3,446 SF
3,013 SF
3,266 SF
4,034 SF
unclear
Days on market
62 days
42 days
18 days
43 days
unclear
Discount from original list
7.3%
3.9%
6.4%
5.7%
unclear
Price cut before sale
42%
36%
33%
18%
unclear
Seller paid closing costs or repairs
50%
45%
58%
55%
unclear
Has a view
67%
45%
67%
100%
unclear
5.3 Net sale price: no clear difference
The average is $1.26M for homes built after 1999 and $1.03M for homes built before 1995. It does not move in a straight line; homes built after 1999 are highest. Defined in 8.1.1.
– No clear difference · could be chance
5.4 Net price per SF: no clear difference
The average is $309 per SF for homes built after 1999 and $300 per SF for homes built before 1995. It does not move in a straight line; homes built 1997–1999 are highest. Defined in 8.1.2.
– No clear difference · could be chance
5.5 Living area: no clear difference
The average is 4,034 SF for homes built after 1999 and 3,446 SF for homes built before 1995. It does not move in a straight line; homes built after 1999 are highest. Defined in 8.1.3.
– No clear difference · could be chance
5.6 Days on market: no clear difference
The median is 43 days for homes built after 1999 and 62 days for homes built before 1995. It does not move in a straight line; homes built before 1995 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 5.7% for homes built after 1999 and 7.3% for homes built before 1995. It does not move in a straight line; homes built before 1995 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 1999 had a price cut before sale, against 42% of homes built before 1995. Defined in 8.1.7.
55% of homes built after 1999 had the seller pay closing costs or repairs, against 50% of homes built before 1995. Defined in 8.1.8.
100% of homes built after 1999 have a view, against 67% of homes built before 1995. 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 199512 sales
1995–199611 sales
1997–199912 sales
After 199911 sales
All46 sales
Real difference?
Net sale price average
$1,032,200
$917,987
$1,010,746
$1,256,961
$1,053,039
unclear
Net price per SF average
$300
$309
$311
$309
$307
unclear
Living area average
3,446
3,013
3,266
4,034
3,436
unclear
Year built median
1993
1995
1998
2002
1996
by design
5.10 The numbers: selling
Before 199512 sales
1995–199611 sales
1997–199912 sales
After 199911 sales
All46 sales
Real difference?
Days on market median
62
42
18
43
38
unclear
Discount from original list average
7.3%
3.9%
6.4%
5.7%
5.8%
unclear
Price cut before sale
42%
36%
33%
18%
33%
unclear
Seller paid closing costs or repairs
50%
45%
58%
55%
52%
unclear
Has a view
67%
45%
67%
100%
70%
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 · 46 sales · November 7, 2025 – November 6, 2026
Sales where the MLS lists a view (greenbelt or park, trees, golf course, hill country, water and similar) against those listing none or only the neighborhood.
Bottom line
Homes with a view sell for about $287K (34%) more than homes without a view.
6.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
ViewNo view
Homes with a view MLS lists a view
Sell for much more.
Homes without a view no view listed
Sell for much less.
6.2 At a glance
Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.
View
No view
Real difference?
Net sale price
$1.14MHighest
$853KLowest
✓ large
Net price per SF
$318 per SF
$282 per SF
unclear
Living area
3,594 SF
3,076 SF
unclear
Year built
1998
1995
unclear
Days on market
18 days
78 days
unclear
Discount from original list
5.1%
7.5%
unclear
Price cut before sale
25%
50%
unclear
Seller paid closing costs or repairs
50%
57%
unclear
6.3 Homes with a view sell for about $287K (34%) more than homes without a view
The average is $1.14M for homes with a view and $853K for homes without a view. Defined in 8.1.1.
✓ Real difference · large
6.4 Net price per SF: no clear difference
The average is $318 per SF for homes with a view and $282 per SF for homes without a view. Defined in 8.1.2.
– No clear difference · could be chance
6.5 Living area: no clear difference
The average is 3,594 SF for homes with a view and 3,076 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 1998 for homes with a view and 1995 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 18 days for homes with a view and 78 days for homes without a view. Defined in 8.1.5.
– No clear difference · could be chance
6.8 Discount from original list: no clear difference
The average is 5.1% for homes with a view and 7.5% 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.
25% of homes with a view had a price cut before sale, against 50% of homes without a view. Defined in 8.1.7.
50% of homes with a view had the seller pay closing costs or repairs, against 57% 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
View32 sales
No view14 sales
All46 sales
Real difference?
Net sale price average
$1,140,431
$853,286
$1,053,039
✓ large
Net price per SF average
$318
$282
$307
unclear
Living area average
3,594
3,076
3,436
unclear
Year built median
1998
1995
1996
unclear
6.11 The numbers: selling
View32 sales
No view14 sales
All46 sales
Real difference?
Days on market median
18
78
38
unclear
Discount from original list average
5.1%
7.5%
5.8%
unclear
Price cut before sale
25%
50%
33%
unclear
Seller paid closing costs or repairs
50%
57%
52%
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 · 10 sales · November 7, 2025 – November 6, 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: 10 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 River Place.
Measure
Average
Median
Sales
10
Net sale price
$2,055,338
$1,922,507
Net price per SF
$498
$484
Living area (SF)
4,116
4,109
Days on market
176
187
Discount from original list
12.2%
15.7%
Price cut before sale
70% of sales
Seller paid closing costs or repairs
40% 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
46 resale sales. Average $1,053,039; median $963,162; standard deviation $296,103; middle half (25th–75th percentile) $857,850–$1,198,750; lowest $668,000, highest $2,241,686. 24 sales had a seller payment; their median payment was $10,000.
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
46 resale sales. Average $307; median $302; standard deviation $50; middle half (25th–75th percentile) $271–$343; lowest $212, highest $458.
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
46 resale sales. Average 3,436; median 3,366; standard deviation 764; middle half (25th–75th percentile) 3,039–3,725; lowest 2,130, highest 6,222.
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
46 resale sales. Average 1997; median 1996; standard deviation 4; middle half (25th–75th percentile) 1994–1999; lowest 1991, highest 2010.
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
46 resale sales. Average 59; median 38; standard deviation 60; middle half (25th–75th percentile) 12–92; lowest 2, highest 247. 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
46 resale sales. Average 5.8%; median 4.6%; standard deviation 5.7%; middle half (25th–75th percentile) 1.8%–7.9%; lowest −1.7%, highest 22.9%. 2 sales closed above their first asking price.
8.1.7 Price cut before sale
In simple terms
The asking price was lowered at least once before the home went under contract.
Statistically
Indicator: ListPrice at close < OriginalListPrice. Reported as the share of sales (%).
The data
15 of 46 resale sales (32.6%).
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
24 of 46 resale sales (52.2%).
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
32 sales with a view, 14 without, 0 unclassified. Most common View entries: Hill Country 25, Park/Greenbelt 16, Trees/Woods 13, None 11, Panoramic 11, Golf Course 7, Neighborhood 6, Canyon 5.
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
ABOR MLS via secure APIs, read from ALEX's copy of the MLS (refreshed every 15 minutes; this pull as of 2026-11-07 13:30 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Austin, SubdivisionName contains any of “river place”, “river place milky way at river place”, “river place, milky way at river place” (case-insensitive). A record is kept when its subdivision name belongs to the River Place family, the same rule comparable sales use (it includes River Place, Milky Way at River Place, proven adjacent and priced alike).
The data
Pulled November 7, 2026: 56 closed River Place records over the prior year, in ZIP 78730. 23 subdivision spellings kept, the most common: River Place (10); River Place Sec 06 (7); River Place, Milky Way at River Place (6); River Place Sec 07B (5); River Place Sec 15 (3); River Place Sec 03 (3); River Place Sec 08 (3); River Place Sec 04-A (2); River Place Sec 07A (2); River Place Sec 21 (2); River Place Sec 02-B (1); River Place Sec 02 (1); and 11 more (11 records). Names found by the search but not part of River Place, left out: Overlook At River Place (3); Preserve At River Place Sec 02 (1); Milky Way/River Place Condos (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 25 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from November 7, 2025 to November 6, 2026 inclusive.
The data
56 single-family sales in the window: 46 resale, 10 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
46 resale; 10 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 $858K”.
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 $858K: $668,000–$857,700 (12 sales); $858K–$960K: $858,300–$960,000 (11 sales); $966K–$1.20M: $966,325–$1,195,000 (11 sales); Over $1.20M: $1,200,000–$2,241,686 (12 sales) Quartiles by living area: Under 3,065 SF: 2,130–3,030 SF (12 sales); 3,065–3,366 SF: 3,065–3,366 SF (12 sales); 3,430–3,693 SF: 3,430–3,693 SF (10 sales); Over 3,693 SF: 3,736–6,222 SF (12 sales) Quartiles by year built: Before 1995: 1991–1994 (12 sales); 1995–1996: 1995–1996 (11 sales); 1997–1999: 1997–1999 (12 sales); After 1999: 2000–2010 (11 sales) View and no view: View: MLS lists a view (32 sales); No view: None or Neighborhood (14 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 $1,053,039, median $963,162. Days on market: average 59, median 38: 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 = 17.29
3
0.0006
p < 0.0063
Yes
ε² = 0.384
large
Living area
Kruskal–Wallis
H = 24.15
3
< 0.0001
p < 0.0063
Yes
ε² = 0.537
large
Year built
Kruskal–Wallis
H = 2.63
3
0.4530
p < 0.0063
Unclear
ε² = 0.058
small
Days on market
Kruskal–Wallis
H = 4.81
3
0.1863
p < 0.0063
Unclear
ε² = 0.107
medium
Discount from original list
Kruskal–Wallis
H = 4.25
3
0.2360
p < 0.0063
Unclear
ε² = 0.094
medium
Price cut before sale
Chi-square
χ² = 4.87
3
0.1814
p < 0.0063
Unclear
Cramér’s V = 0.325
medium
Seller paid closing costs or repairs
Chi-square
χ² = 3.83
3
0.2805
p < 0.0063
Unclear
Cramér’s V = 0.289
small
Has a view
Chi-square
χ² = 11.04
3
0.0115
p < 0.0063
Unclear
Cramér’s V = 0.490
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 = 20.70
3
0.0001
p < 0.0063
Yes
ε² = 0.460
large
Net price per SF
Kruskal–Wallis
H = 1.20
3
0.7525
p < 0.0063
Unclear
ε² = 0.027
small
Year built
Kruskal–Wallis
H = 4.79
3
0.1877
p < 0.0063
Unclear
ε² = 0.106
medium
Days on market
Kruskal–Wallis
H = 2.01
3
0.5702
p < 0.0063
Unclear
ε² = 0.045
small
Discount from original list
Kruskal–Wallis
H = 5.58
3
0.1338
p < 0.0063
Unclear
ε² = 0.124
medium
Price cut before sale
Chi-square
χ² = 0.80
3
0.8499
p < 0.0063
Unclear
Cramér’s V = 0.132
small
Seller paid closing costs or repairs
Chi-square
χ² = 1.65
3
0.6482
p < 0.0063
Unclear
Cramér’s V = 0.189
small
Has a view
Chi-square
χ² = 3.41
3
0.3323
p < 0.0063
Unclear
Cramér’s V = 0.272
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 = 7.95
3
0.0471
p < 0.0063
Unclear
ε² = 0.177
large
Net price per SF
Kruskal–Wallis
H = 0.28
3
0.9646
p < 0.0063
Unclear
ε² = 0.006
negligible
Living area
Kruskal–Wallis
H = 11.38
3
0.0098
p < 0.0063
Unclear
ε² = 0.253
large
Days on market
Kruskal–Wallis
H = 0.80
3
0.8500
p < 0.0063
Unclear
ε² = 0.018
small
Discount from original list
Kruskal–Wallis
H = 2.35
3
0.5022
p < 0.0063
Unclear
ε² = 0.052
small
Price cut before sale
Chi-square
χ² = 1.56
3
0.6677
p < 0.0063
Unclear
Cramér’s V = 0.184
small
Seller paid closing costs or repairs
Chi-square
χ² = 0.43
3
0.9342
p < 0.0063
Unclear
Cramér’s V = 0.097
negligible
Has a view
Chi-square
χ² = 7.93
3
0.0475
p < 0.0063
Unclear
Cramér’s V = 0.415
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 = 374.50
—
0.0003
p < 0.0063
Yes
rank-biserial r = 0.672
large
Net price per SF
Mann–Whitney U
U = 321.00
—
0.0212
p < 0.0063
Unclear
rank-biserial r = 0.433
medium
Living area
Mann–Whitney U
U = 307.50
—
0.0475
p < 0.0063
Unclear
rank-biserial r = 0.373
medium
Year built
Mann–Whitney U
U = 299.50
—
0.0719
p < 0.0063
Unclear
rank-biserial r = 0.337
medium
Days on market
Mann–Whitney U
U = 130.00
—
0.0256
p < 0.0063
Unclear
rank-biserial r = 0.420
medium
Discount from original list
Mann–Whitney U
U = 172.00
—
0.2189
p < 0.0063
Unclear
rank-biserial r = 0.232
small
Price cut before sale
Chi-square
χ² = 2.77
1
0.0961
p < 0.0063
Unclear
Cramér’s V = 0.245
small
Seller paid closing costs or repairs
Chi-square
χ² = 0.20
1
0.6554
p < 0.0063
Unclear
Cramér’s V = 0.066
negligible
8.4 Data notes
Left out of the analysis: 10 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.