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
43
single-family resale homes
Median net sale price
$877,750
average $911,722
Median net price per SF
$433
average $433
Median days on market
42 days
average 65 days
1. SummaryResale homes · 43 sales · October 26, 2025 – October 25, 2026
This study looks at the 43 resale homes sold in Allandale Park Sec 06 in the 365 days to October 25, 2026. A full year is used because only 20 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 sold43 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 · 43 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 $975K are about 990 SF (61%) larger than homes under $725K.
3.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under $725K$725K–$878K$880K–$975KOver $975K
Higher-priced homes Over $975K
Are much larger.
Lower-priced homes Under $725K
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 $725K
$725K–$878K
$880K–$975K
Over $975K
Real difference?
Net price per SF
$416 per SF
$425 per SF
$417 per SF
$473 per SF
unclear
Living area
1,605 SFSmallest
2,006 SF
2,320 SF
2,591 SFLargest
✓ large
Year built
1964
1962
1962
1962
unclear
Days on market
74 days
12 days
43 days
41 days
unclear
Discount from original list
8.3%
3.4%
9.4%
7.2%
unclear
Price cut before sale
55%
27%
50%
45%
unclear
Seller paid closing costs or repairs
27%
73%
50%
64%
unclear
Has a view
9%
18%
0%
36%
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 $473 per SF for homes over $975K and $416 per SF for homes under $725K. It does not move in a straight line; homes over $975K are highest. Defined in 8.1.2.
– No clear difference · could be chance
3.4 Homes over $975K are about 990 SF (61%) larger than homes under $725K
The average is 2,591 SF for homes over $975K and 1,605 SF for homes under $725K. 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 1962 for homes over $975K and 1964 for homes under $725K. It does not move in a straight line; homes under $725K are highest. Defined in 8.1.4.
– No clear difference · could be chance
3.6 Days on market: no clear difference
The median is 41 days for homes over $975K and 74 days for homes under $725K. It does not move in a straight line; homes under $725K 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 7.2% for homes over $975K and 8.3% for homes under $725K. It does not move in a straight line; homes $880K–$975K 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.
45% of homes over $975K had a price cut before sale, against 55% of homes under $725K. Defined in 8.1.7.
64% of homes over $975K had the seller pay closing costs or repairs, against 27% of homes under $725K. Defined in 8.1.8.
36% of homes over $975K have a view, against 9% of homes under $725K. 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 $725K11 sales
$725K–$878K11 sales
$880K–$975K10 sales
Over $975K11 sales
All43 sales
Real difference?
Net sale price average
$661,431
$831,295
$933,805
$1,222,364
$911,722
by design
Net price per SF average
$416
$425
$417
$473
$433
unclear
Living area average
1,605
2,006
2,320
2,591
2,126
✓ large
Year built median
1964
1962
1962
1962
1962
unclear
3.10 The numbers: selling
Under $725K11 sales
$725K–$878K11 sales
$880K–$975K10 sales
Over $975K11 sales
All43 sales
Real difference?
Days on market median
74
12
43
41
42
unclear
Discount from original list average
8.3%
3.4%
9.4%
7.2%
7.0%
unclear
Price cut before sale
55%
27%
50%
45%
44%
unclear
Seller paid closing costs or repairs
27%
73%
50%
64%
53%
unclear
Has a view
9%
18%
0%
36%
16%
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 · 43 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 2,438 SF sell for about $449K (64%) more than homes under 1,748 SF.
4.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under 1,748 SF1,748–2,104 SF2,121–2,438 SFOver 2,438 SF
Larger homes Over 2,438 SF
Sell for much more.
Smaller homes Under 1,748 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 1,748 SF
1,748–2,104 SF
2,121–2,438 SF
Over 2,438 SF
Real difference?
Net sale price
$706KLowest
$825K
$967K
$1.15MHighest
✓ large
Net price per SF
$457 per SF
$429 per SF
$425 per SF
$421 per SF
unclear
Year built
1964
1962
1962
1962
unclear
Days on market
42 days
41 days
38 days
71 days
unclear
Discount from original list
5.4%
4.5%
10.3%
8.3%
unclear
Price cut before sale
36%
45%
50%
45%
unclear
Seller paid closing costs or repairs
45%
64%
50%
55%
unclear
Has a view
0%
9%
20%
36%
unclear
4.3 Homes over 2,438 SF sell for about $449K (64%) more than homes under 1,748 SF
The average is $1.15M for homes over 2,438 SF and $706K for homes under 1,748 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 $421 per SF for homes over 2,438 SF and $457 per SF for homes under 1,748 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 1962 for homes over 2,438 SF and 1964 for homes under 1,748 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.4.
– No clear difference · could be chance
4.6 Days on market: no clear difference
The median is 71 days for homes over 2,438 SF and 42 days for homes under 1,748 SF. It does not move in a straight line; homes over 2,438 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 8.3% for homes over 2,438 SF and 5.4% for homes under 1,748 SF. It does not move in a straight line; homes 2,121–2,438 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.
45% of homes over 2,438 SF had a price cut before sale, against 36% of homes under 1,748 SF. Defined in 8.1.7.
55% of homes over 2,438 SF had the seller pay closing costs or repairs, against 45% of homes under 1,748 SF. Defined in 8.1.8.
36% of homes over 2,438 SF have a view, against 0% of homes under 1,748 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 1,748 SF11 sales
1,748–2,104 SF11 sales
2,121–2,438 SF10 sales
Over 2,438 SF11 sales
All43 sales
Real difference?
Net sale price average
$705,635
$824,664
$967,025
$1,154,591
$911,722
✓ large
Net price per SF average
$457
$429
$425
$421
$433
unclear
Living area average
1,544
1,922
2,274
2,777
2,126
by design
Year built median
1964
1962
1962
1962
1962
unclear
4.10 The numbers: selling
Under 1,748 SF11 sales
1,748–2,104 SF11 sales
2,121–2,438 SF10 sales
Over 2,438 SF11 sales
All43 sales
Real difference?
Days on market median
42
41
38
71
42
unclear
Discount from original list average
5.4%
4.5%
10.3%
8.3%
7.0%
unclear
Price cut before sale
36%
45%
50%
45%
44%
unclear
Seller paid closing costs or repairs
45%
64%
50%
55%
53%
unclear
Has a view
0%
9%
20%
36%
16%
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 · 43 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
56% of homes built after 1964 had the seller pay closing costs or repairs, against 70% of homes built before 1962.
5.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Before 196219621963–1964After 1964
Newer homes After 1964
Less often have the seller pay buyer costs or repairs.
Older homes Before 1962
More often have the seller pay buyer costs or repairs.
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 1962
1962
1963–1964
After 1964
Real difference?
Net sale price
$973K
$893K
$778K
$1.03M
unclear
Net price per SF
$429 per SF
$439 per SF
$421 per SF
$444 per SF
unclear
Living area
2,270 SF
2,102 SF
1,853 SF
2,335 SF
unclear
Days on market
63 days
31 days
42 days
44 days
unclear
Discount from original list
8.6%
5.9%
8.7%
4.9%
unclear
Price cut before sale
50%
38%
55%
33%
unclear
Seller paid closing costs or repairs
70%
77%Most
9%Fewest
56%
✓ large
Has a view
20%
8%
18%
22%
unclear
5.3 Net sale price: no clear difference
The average is $1.03M for homes built after 1964 and $973K for homes built before 1962. It does not move in a straight line; homes built after 1964 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 $444 per SF for homes built after 1964 and $429 per SF for homes built before 1962. It does not move in a straight line; homes built after 1964 are highest. Defined in 8.1.2.
– No clear difference · could be chance
5.5 Living area: no clear difference
The average is 2,335 SF for homes built after 1964 and 2,270 SF for homes built before 1962. It does not move in a straight line; homes built after 1964 are highest. Defined in 8.1.3.
– No clear difference · could be chance
5.6 Days on market: no clear difference
The median is 44 days for homes built after 1964 and 63 days for homes built before 1962. It does not move in a straight line; homes built before 1962 are highest. Defined in 8.1.5.
– No clear difference · could be chance
5.7 Discount from original list: no clear difference
The average is 4.9% for homes built after 1964 and 8.6% for homes built before 1962. It does not move in a straight line; homes built 1963–1964 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.
33% of homes built after 1964 had a price cut before sale, against 50% of homes built before 1962. Defined in 8.1.7.
56% of homes built after 1964 had the seller pay closing costs or repairs, against 70% of homes built before 1962. Defined in 8.1.8.
22% of homes built after 1964 have a view, against 20% of homes built before 1962. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: ✓ Real difference · large
Has a view: – No clear difference · could be chance
5.9 The numbers: price and size
Before 196210 sales
196213 sales
1963–196411 sales
After 19649 sales
All43 sales
Real difference?
Net sale price average
$972,850
$892,777
$778,391
$1,034,126
$911,722
unclear
Net price per SF average
$429
$439
$421
$444
$433
unclear
Living area average
2,270
2,102
1,853
2,335
2,126
unclear
Year built median
1960
1962
1964
1967
1962
by design
5.10 The numbers: selling
Before 196210 sales
196213 sales
1963–196411 sales
After 19649 sales
All43 sales
Real difference?
Days on market median
63
31
42
44
42
unclear
Discount from original list average
8.6%
5.9%
8.7%
4.9%
7.0%
unclear
Price cut before sale
50%
38%
55%
33%
44%
unclear
Seller paid closing costs or repairs
70%
77%
9%
56%
53%
✓ large
Has a view
20%
8%
18%
22%
16%
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 · 43 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
$1.07M
$880K
unclear
Net price per SF
$435 per SF
$431 per SF
unclear
Living area
2,427 SF
2,073 SF
unclear
Year built
1963
1962
unclear
Days on market
66 days
42 days
unclear
Discount from original list
7.2%
7.2%
unclear
Price cut before sale
57%
43%
unclear
Seller paid closing costs or repairs
29%
60%
unclear
6.3 Net sale price: no clear difference
The average is $1.07M for homes with a view and $880K 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 $435 per SF for homes with a view and $431 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 2,427 SF for homes with a view and 2,073 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 1963 for homes with a view and 1962 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 66 days for homes with a view and 42 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 7.2% for homes with a view and 7.2% 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.
57% of homes with a view had a price cut before sale, against 43% of homes without a view. Defined in 8.1.7.
29% of homes with a view had the seller pay closing costs or repairs, against 60% 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
View7 sales
No view35 sales
All42 sales
Real difference?
Net sale price average
$1,065,607
$880,280
$911,168
unclear
Net price per SF average
$435
$431
$432
unclear
Living area average
2,427
2,073
2,132
unclear
Year built median
1963
1962
1962
unclear
6.11 The numbers: selling
View7 sales
No view35 sales
All42 sales
Real difference?
Days on market median
66
42
43
unclear
Discount from original list average
7.2%
7.2%
7.2%
unclear
Price cut before sale
57%
43%
45%
unclear
Seller paid closing costs or repairs
29%
60%
55%
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 · 6 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: 6 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 Allandale Park Sec 06.
Measure
Average
Median
Sales
6
Net sale price
$2,228,667
$2,317,500
Net price per SF
$644
$641
Living area (SF)
3,464
3,534
Days on market
106
105
Discount from original list
5.2%
4.8%
Price cut before sale
50% of sales
Seller paid closing costs or repairs
0% 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
43 resale sales. Average $911,722; median $877,750; standard deviation $228,995; middle half (25th–75th percentile) $722,850–$976,500; lowest $525,000, highest $1,600,000. 23 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
43 resale sales. Average $433; median $433; standard deviation $67; middle half (25th–75th percentile) $384–$486; lowest $256, highest $591.
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
43 resale sales. Average 2,126; median 2,104; standard deviation 508; middle half (25th–75th percentile) 1,729–2,460; lowest 1,292, highest 3,724.
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
43 resale sales. Average 1966; median 1962; standard deviation 12; middle half (25th–75th percentile) 1962–1964; lowest 1959, 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
43 resale sales. Average 65; median 42; standard deviation 62; middle half (25th–75th percentile) 11–103; lowest 2, highest 249. 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
43 resale sales. Average 7.0%; median 4.9%; standard deviation 7.0%; middle half (25th–75th percentile) 2.1%–12.5%; lowest −5.5%, highest 21.8%. 4 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
19 of 43 resale sales (44.2%).
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 43 resale sales (53.5%).
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
7 sales with a view, 35 without, 1 unclassified. Most common View entries: None 29, Neighborhood 7, Creek/Stream 3, Pool 2, See Remarks 1, Park/Greenbelt 1, Trees/Woods 1, Garden 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 “allandale park”, “allandale terrace” (case-insensitive). A record is kept when its subdivision name belongs to the Allandale Park Sec 06 family, the same rule comparable sales use (it includes Allandale Terrace, proven adjacent and priced alike).
The data
Pulled October 26, 2026: 50 closed Allandale Park Sec 06 records over the prior year, in ZIP 78757. 14 subdivision spellings kept, the most common: Allandale Park Sec 06 (9); Allandale Park Sec 05 (6); Allandale Terrace Sec 02 Ph 04 (5); Allandale Park Sec 01 (5); Allandale Park Sec 04 (5); Allandale Terrace Sec 03 (5); Allandale Terrace (3); Allandale Terrace Sec 02 (3); Allandale Park Sec 02 (3); Allandale Park Sec 09 (2); Allandale Park Sec 08 (1); Allandale Terrace Sec 02 Ph 02 (1); and 2 more (2 records). No other names were found by the search.
8.2.2 Study window
In simple terms
The most recent 365 days of closed sales: recent enough to describe today's market, long enough to give each group plenty of sales. The usual window is 180 days; it holds only 20 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
49 single-family sales in the window: 43 resale, 6 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
43 resale; 6 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
1 sale(s) with no original list price
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 $725K”.
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 $725K: $525,000–$720,700 (11 sales); $725K–$878K: $725,000–$877,750 (11 sales); $880K–$975K: $880,000–$975,000 (10 sales); Over $975K: $978,000–$1,600,000 (11 sales) Quartiles by living area: Under 1,748 SF: 1,292–1,710 SF (11 sales); 1,748–2,104 SF: 1,748–2,104 SF (11 sales); 2,121–2,438 SF: 2,121–2,438 SF (10 sales); Over 2,438 SF: 2,483–3,724 SF (11 sales) Quartiles by year built: Before 1962: 1959–1961 (10 sales); 1962: 1962–1962 (13 sales); 1963–1964: 1963–1964 (11 sales); After 1964: 1966–2023 (9 sales) View and no view: View: MLS lists a view (7 sales); No view: None or Neighborhood (35 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 $911,722, median $877,750. Days on market: average 65, median 42: 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 = 4.96
3
0.1745
p < 0.0063
Unclear
ε² = 0.118
medium
Living area
Kruskal–Wallis
H = 26.88
3
< 0.0001
p < 0.0063
Yes
ε² = 0.640
large
Year built
Kruskal–Wallis
H = 2.43
3
0.4885
p < 0.0063
Unclear
ε² = 0.058
small
Days on market
Kruskal–Wallis
H = 5.21
3
0.1568
p < 0.0063
Unclear
ε² = 0.124
medium
Discount from original list
Kruskal–Wallis
H = 4.59
3
0.2043
p < 0.0063
Unclear
ε² = 0.109
medium
Price cut before sale
Chi-square
χ² = 1.90
3
0.5937
p < 0.0063
Unclear
Cramér’s V = 0.210
small
Seller paid closing costs or repairs
Chi-square
χ² = 5.18
3
0.1591
p < 0.0063
Unclear
Cramér’s V = 0.347
medium
Has a view
Chi-square
χ² = 5.65
3
0.1301
p < 0.0063
Unclear
Cramér’s V = 0.362
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 = 25.41
3
< 0.0001
p < 0.0063
Yes
ε² = 0.605
large
Net price per SF
Kruskal–Wallis
H = 2.02
3
0.5678
p < 0.0063
Unclear
ε² = 0.048
small
Year built
Kruskal–Wallis
H = 3.48
3
0.3240
p < 0.0063
Unclear
ε² = 0.083
medium
Days on market
Kruskal–Wallis
H = 1.09
3
0.7788
p < 0.0063
Unclear
ε² = 0.026
small
Discount from original list
Kruskal–Wallis
H = 4.14
3
0.2465
p < 0.0063
Unclear
ε² = 0.099
medium
Price cut before sale
Chi-square
χ² = 0.42
3
0.9352
p < 0.0063
Unclear
Cramér’s V = 0.099
negligible
Seller paid closing costs or repairs
Chi-square
χ² = 0.79
3
0.8508
p < 0.0063
Unclear
Cramér’s V = 0.136
small
Has a view
Chi-square
χ² = 5.91
3
0.1159
p < 0.0063
Unclear
Cramér’s V = 0.371
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 = 5.70
3
0.1274
p < 0.0063
Unclear
ε² = 0.136
medium
Net price per SF
Kruskal–Wallis
H = 1.01
3
0.7999
p < 0.0063
Unclear
ε² = 0.024
small
Living area
Kruskal–Wallis
H = 6.84
3
0.0772
p < 0.0063
Unclear
ε² = 0.163
large
Days on market
Kruskal–Wallis
H = 2.11
3
0.5509
p < 0.0063
Unclear
ε² = 0.050
small
Discount from original list
Kruskal–Wallis
H = 3.33
3
0.3429
p < 0.0063
Unclear
ε² = 0.079
medium
Price cut before sale
Chi-square
χ² = 1.22
3
0.7486
p < 0.0063
Unclear
Cramér’s V = 0.168
small
Seller paid closing costs or repairs
Chi-square
χ² = 12.70
3
0.0053
p < 0.0063
Yes
Cramér’s V = 0.543
large
Has a view
Chi-square
χ² = 1.07
3
0.7850
p < 0.0063
Unclear
Cramér’s V = 0.158
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 = 159.00
—
0.2299
p < 0.0063
Unclear
rank-biserial r = 0.298
small
Net price per SF
Mann–Whitney U
U = 116.00
—
0.8430
p < 0.0063
Unclear
rank-biserial r = 0.053
negligible
Living area
Mann–Whitney U
U = 181.00
—
0.0503
p < 0.0063
Unclear
rank-biserial r = 0.478
medium
Year built
Mann–Whitney U
U = 141.50
—
0.5247
p < 0.0063
Unclear
rank-biserial r = 0.155
small
Days on market
Mann–Whitney U
U = 125.00
—
0.9462
p < 0.0063
Unclear
rank-biserial r = 0.020
negligible
Discount from original list
Mann–Whitney U
U = 119.00
—
0.9211
p < 0.0063
Unclear
rank-biserial r = 0.029
negligible
Price cut before sale
Chi-square
χ² = 0.48
1
0.4882
p < 0.0063
Unclear
Cramér’s V = 0.107
small
Seller paid closing costs or repairs
Chi-square
χ² = 2.33
1
0.1272
p < 0.0063
Unclear
Cramér’s V = 0.235
small
8.4 Data notes
Left out of the analysis: 6 new-construction sales (basic statistics only, section 7); 1 sale(s) with no original list price. 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.