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
85
single-family resale homes
Median net sale price
$610,000
average $622,198
Median net price per SF
$291
average $294
Median days on market
24 days
average 48 days
1. SummaryResale homes · 85 sales · November 1, 2025 – October 31, 2026
This study looks at the 85 resale homes sold in Village At Western Oaks 06 in the 365 days to October 31, 2026. A full year is used because only 41 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 sold85 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 · 85 sales · November 1, 2025 – October 31, 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 $684K are about 680 SF (38%) larger than homes under $550K.
3.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under $550K$550K–$604K$610K–$684KOver $684K
Higher-priced homes Over $684K
Are much larger.
Lower-priced homes Under $550K
Are much smaller.
3.2 At a glance
Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.
Under $550K
$550K–$604K
$610K–$684K
Over $684K
Real difference?
Net price per SF
$285 per SF
$283 per SF
$292 per SF
$315 per SF
unclear
Living area
1,780 SFSmallest
2,077 SF
2,265 SF
2,460 SFLargest
✓ large
Year built
1990
1998
1997
1999
unclear
Days on market
56 days
26 days
11 days
18 days
unclear
Discount from original list
7.4%
3.6%
2.5%
3.2%
unclear
Price cut before sale
60%
50%
32%
38%
unclear
Seller paid closing costs or repairs
60%
77%
50%
62%
unclear
Has a view
15%
23%
18%
29%
unclear
How to read this section. Each heading gives the finding. The gold box says whether the gap is real (✓, with its size) or could be chance (–). The section ends with its numbers; the tests are in section 8.3.
3.3 Net price per SF: no clear difference
The average is $315 per SF for homes over $684K and $285 per SF for homes under $550K. It does not move in a straight line; homes over $684K are highest. Defined in 8.1.2.
– No clear difference · could be chance
3.4 Homes over $684K are about 680 SF (38%) larger than homes under $550K
The average is 2,460 SF for homes over $684K and 1,780 SF for homes under $550K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.
✓ Real difference · large
3.5 Year built: no clear difference
The median is 1999 for homes over $684K and 1990 for homes under $550K. It does not move in a straight line; homes over $684K are highest. Defined in 8.1.4.
– No clear difference · could be chance
3.6 Days on market: no clear difference
The median is 18 days for homes over $684K and 56 days for homes under $550K. It does not move in a straight line; homes under $550K 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 3.2% for homes over $684K and 7.4% for homes under $550K. It does not move in a straight line; homes under $550K 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.
38% of homes over $684K had a price cut before sale, against 60% of homes under $550K. Defined in 8.1.7.
62% of homes over $684K had the seller pay closing costs or repairs, against 60% of homes under $550K. Defined in 8.1.8.
29% of homes over $684K have a view, against 15% of homes under $550K. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance
3.9 The numbers: price and size
Under $550K20 sales
$550K–$604K22 sales
$610K–$684K22 sales
Over $684K21 sales
All85 sales
Real difference?
Net sale price average
$498,800
$582,961
$649,341
$752,390
$622,198
by design
Net price per SF average
$285
$283
$292
$315
$294
unclear
Living area average
1,780
2,077
2,265
2,460
2,150
✓ large
Year built median
1990
1998
1997
1999
1997
unclear
3.10 The numbers: selling
Under $550K20 sales
$550K–$604K22 sales
$610K–$684K22 sales
Over $684K21 sales
All85 sales
Real difference?
Days on market median
56
26
11
18
24
unclear
Discount from original list average
7.4%
3.6%
2.5%
3.2%
4.1%
unclear
Price cut before sale
60%
50%
32%
38%
45%
unclear
Seller paid closing costs or repairs
60%
77%
50%
62%
62%
unclear
Has a view
15%
23%
18%
29%
21%
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 · 85 sales · November 1, 2025 – October 31, 2026
Sales ranked by living area and cut into four equal groups, from the smallest homes to the largest.
Bottom line
Homes over 2,330 SF sell for about $159K (29%) more than homes under 1,902 SF.
Homes over 2,330 SF sell for about $59 per SF (18%) less than homes under 1,902 SF.
Homes over 2,330 SF are about 15 years newer than homes under 1,902 SF.
4.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under 1,902 SF1,902–2,116 SF2,137–2,330 SFOver 2,330 SF
Larger homes Over 2,330 SF
Sell for much more.
Sell for less per square foot.
Tend to be newer.
Smaller homes Under 1,902 SF
Sell for much less.
Sell for more per square foot.
Tend to be older.
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 1,902 SF
1,902–2,116 SF
2,137–2,330 SF
Over 2,330 SF
Real difference?
Net sale price
$541KLowest
$602K
$644K
$701KHighest
✓ large
Net price per SF
$323 per SFHighest
$298 per SF
$290 per SF
$264 per SFLowest
✓ large
Year built
1983Oldest
1997
1997
1998Newest
✓ large
Days on market
55 days
12 days
27 days
21 days
unclear
Discount from original list
5.2%
3.7%
4.2%
3.3%
unclear
Price cut before sale
48%
43%
55%
33%
unclear
Seller paid closing costs or repairs
67%
71%
59%
52%
unclear
Has a view
24%
14%
18%
29%
unclear
4.3 Homes over 2,330 SF sell for about $159K (29%) more than homes under 1,902 SF
The average is $701K for homes over 2,330 SF and $541K for homes under 1,902 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.
✓ Real difference · large
4.4 Homes over 2,330 SF sell for about $59 per SF (18%) less than homes under 1,902 SF
The average is $264 per SF for homes over 2,330 SF and $323 per SF for homes under 1,902 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.
✓ Real difference · large
4.5 Homes over 2,330 SF are about 15 years newer than homes under 1,902 SF
The median is 1998 for homes over 2,330 SF and 1983 for homes under 1,902 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.4.
✓ Real difference · large
4.6 Days on market: no clear difference
The median is 21 days for homes over 2,330 SF and 55 days for homes under 1,902 SF. It does not move in a straight line; homes under 1,902 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 3.3% for homes over 2,330 SF and 5.2% for homes under 1,902 SF. It does not move in a straight line; homes under 1,902 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.
33% of homes over 2,330 SF had a price cut before sale, against 48% of homes under 1,902 SF. Defined in 8.1.7.
52% of homes over 2,330 SF had the seller pay closing costs or repairs, against 67% of homes under 1,902 SF. Defined in 8.1.8.
29% of homes over 2,330 SF have a view, against 24% of homes under 1,902 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 1,902 SF21 sales
1,902–2,116 SF21 sales
2,137–2,330 SF22 sales
Over 2,330 SF21 sales
All85 sales
Real difference?
Net sale price average
$541,494
$601,566
$643,791
$700,913
$622,198
✓ large
Net price per SF average
$323
$298
$290
$264
$294
✓ large
Living area average
1,683
2,019
2,220
2,677
2,150
by design
Year built median
1983
1997
1997
1998
1997
✓ large
4.10 The numbers: selling
Under 1,902 SF21 sales
1,902–2,116 SF21 sales
2,137–2,330 SF22 sales
Over 2,330 SF21 sales
All85 sales
Real difference?
Days on market median
55
12
27
21
24
unclear
Discount from original list average
5.2%
3.7%
4.2%
3.3%
4.1%
unclear
Price cut before sale
48%
43%
55%
33%
45%
unclear
Seller paid closing costs or repairs
67%
71%
59%
52%
62%
unclear
Has a view
24%
14%
18%
29%
21%
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 · 85 sales · November 1, 2025 – October 31, 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
Homes built after 1998 are about 450 SF (24%) larger than homes built before 1989.
Homes built after 1998 sell about 5 percentage points closer to their first asking price than homes built before 1989.
5.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Before 19891989–19961997–1998After 1998
Newer homes After 1998
Are much larger.
Sell closer to their first asking price.
Older homes Before 1989
Are much smaller.
Sell further below their first asking price.
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 1989
1989–1996
1997–1998
After 1998
Real difference?
Net sale price
$604K
$584K
$636K
$659K
unclear
Net price per SF
$324 per SF
$281 per SF
$284 per SF
$288 per SF
unclear
Living area
1,868 SFSmallest
2,103 SF
2,283 SF
2,316 SFLargest
✓ large
Days on market
74 days
21 days
27 days
18 days
unclear
Discount from original list
7.2%Biggest
3.6%
3.3%
2.7%Smallest
✓ large
Price cut before sale
60%
38%
58%
28%
unclear
Seller paid closing costs or repairs
75%
48%
74%
56%
unclear
Has a view
20%
33%
26%
8%
unclear
5.3 Net sale price: no clear difference
The average is $659K for homes built after 1998 and $604K for homes built before 1989. It does not move in a straight line; homes built after 1998 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 $288 per SF for homes built after 1998 and $324 per SF for homes built before 1989. It does not move in a straight line; homes built before 1989 are highest. Defined in 8.1.2.
– No clear difference · could be chance
5.5 Homes built after 1998 are about 450 SF (24%) larger than homes built before 1989
The average is 2,316 SF for homes built after 1998 and 1,868 SF for homes built before 1989. It rises step by step from the lowest range to the highest. Defined in 8.1.3.
✓ Real difference · large
5.6 Days on market: no clear difference
The median is 18 days for homes built after 1998 and 74 days for homes built before 1989. It does not move in a straight line; homes built before 1989 are highest. Defined in 8.1.5.
– No clear difference · could be chance
5.7 Homes built after 1998 sell about 5 percentage points closer to their first asking price than homes built before 1989
The average is 2.7% for homes built after 1998 and 7.2% for homes built before 1989. It falls step by step from the lowest range to the highest. Defined in 8.1.6.
✓ Real difference · large
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.
28% of homes built after 1998 had a price cut before sale, against 60% of homes built before 1989. Defined in 8.1.7.
56% of homes built after 1998 had the seller pay closing costs or repairs, against 75% of homes built before 1989. Defined in 8.1.8.
8% of homes built after 1998 have a view, against 20% of homes built before 1989. 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 198920 sales
1989–199621 sales
1997–199819 sales
After 199825 sales
All85 sales
Real difference?
Net sale price average
$603,672
$583,763
$635,754
$659,002
$622,198
unclear
Net price per SF average
$324
$281
$284
$288
$294
unclear
Living area average
1,868
2,103
2,283
2,316
2,150
✓ large
Year built median
1983
1993
1998
2000
1997
by design
5.10 The numbers: selling
Before 198920 sales
1989–199621 sales
1997–199819 sales
After 199825 sales
All85 sales
Real difference?
Days on market median
74
21
27
18
24
unclear
Discount from original list average
7.2%
3.6%
3.3%
2.7%
4.1%
✓ large
Price cut before sale
60%
38%
58%
28%
45%
unclear
Seller paid closing costs or repairs
75%
48%
74%
56%
62%
unclear
Has a view
20%
33%
26%
8%
21%
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 · 85 sales · November 1, 2025 – October 31, 2026
Sales where the MLS lists a view (greenbelt or park, trees, golf course, hill country, water and similar) against those listing none or only the neighborhood. 2 sales whose MLS view entry is only “See Remarks” are left out.
Bottom line: 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
$634K
$613K
unclear
Net price per SF
$299 per SF
$291 per SF
unclear
Living area
2,201 SF
2,129 SF
unclear
Year built
1992
1997
unclear
Days on market
24 days
26 days
unclear
Discount from original list
4.4%
4.1%
unclear
Price cut before sale
50%
45%
unclear
Seller paid closing costs or repairs
67%
63%
unclear
6.3 Net sale price: no clear difference
The average is $634K for homes with a view and $613K 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 $299 per SF for homes with a view and $291 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 2,201 SF for homes with a view and 2,129 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 1992 for homes with a view and 1997 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 24 days for homes with a view and 26 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 4.4% for homes with a view and 4.1% 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.
50% of homes with a view had a price cut before sale, against 45% of homes without a view. Defined in 8.1.7.
67% of homes with a view had the seller pay closing costs or repairs, against 63% 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
View18 sales
No view65 sales
All83 sales
Real difference?
Net sale price average
$634,364
$613,127
$617,733
unclear
Net price per SF average
$299
$291
$293
unclear
Living area average
2,201
2,129
2,144
unclear
Year built median
1992
1997
1997
unclear
6.11 The numbers: selling
View18 sales
No view65 sales
All83 sales
Real difference?
Days on market median
24
26
26
unclear
Discount from original list average
4.4%
4.1%
4.2%
unclear
Price cut before sale
50%
45%
46%
unclear
Seller paid closing costs or repairs
67%
63%
64%
unclear
Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.4.
7. New constructionBasic statistics · 0 sales · November 1, 2025 – October 31, 2026
Homes sold new by the builder in the same 365 days. They are left out of every other section and shown here as basic figures only: 0 sales, no groups, no tests.
Note: these are only the new-construction sales reported in ABOR MLS. Builders often sell homes without listing them in the MLS, so these figures do not necessarily represent all new-construction sales in Village At Western Oaks 06.
No new-construction sales were reported in ABOR MLS in this window.
Same definitions as the rest of the study (section 8). New construction = NewConstructionYN true, or PropertyCondition “New Construction” or “Under Construction”.
8. AppendixMeasures, methods and tests
Each measure and method three ways: in plain words, as statistics, and with the data from this study.
8.1 Measures
8.1.1 Net sale price
In simple terms
What the seller actually kept: the closing price, less money the seller gave back to the buyer for closing costs or repairs. It is the truest price for comparing homes.
Statistically
Net = ClosePrice − ACTRIS_BuyersClsgCostPdbySell − ACTRIS_RepairsAmount (a blank counts as $0). Summarized by the arithmetic mean in the slices.
The data
85 resale sales. Average $622,198; median $610,000; standard deviation $98,846; middle half (25th–75th percentile) $550,000–$684,240; lowest $415,000, highest $950,000. 53 sales had a seller payment; their median payment was $5,000.
8.1.2 Net price per SF
In simple terms
Net sale price divided by the heated and cooled square feet. It puts homes of different sizes on the same footing: did buyers pay more for each square foot, not just for more square feet?
Statistically
psf = Net ÷ LivingArea, per sale; summarized by the mean of the per-sale ratios.
The data
85 resale sales. Average $294; median $291; standard deviation $43; middle half (25th–75th percentile) $263–$316; lowest $216, highest $431.
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
85 resale sales. Average 2,150; median 2,137; standard deviation 406; middle half (25th–75th percentile) 1,902–2,330; lowest 1,366, highest 3,661.
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
85 resale sales. Average 1994; median 1997; standard deviation 8; middle half (25th–75th percentile) 1989–1999; lowest 1978, 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
85 resale sales. Average 48; median 24; standard deviation 63; middle half (25th–75th percentile) 6–66; lowest 0, highest 376. 1 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
85 resale sales. Average 4.1%; median 3.4%; standard deviation 4.7%; middle half (25th–75th percentile) 1.1%–7.2%; lowest −5.4%, highest 17.5%. 12 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
38 of 85 resale sales (44.7%).
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
53 of 85 resale sales (62.4%).
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
18 sales with a view, 65 without, 2 unclassified. Most common View entries: None 48, Neighborhood 23, Trees/Woods 11, Park/Greenbelt 10, Pool 1, Garden 1, Hill Country 1, Pond 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
ABOR MLS via secure APIs, read from ALEX's copy of the MLS (refreshed every 15 minutes; this pull as of 2026-11-01 13:15 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Austin, SubdivisionName contains any of “village at western oaks”, “western oaks” (case-insensitive). A record is kept when its subdivision name belongs to the Village At Western Oaks 06 family, the same rule comparable sales use (it includes Western Oaks Sec 03-D, proven adjacent and priced alike).
The data
Pulled November 1, 2026: 86 closed Village At Western Oaks 06 records over the prior year, in ZIP 78749. 28 subdivision spellings kept, the most common: Village At Western Oaks Sec 15 (9); Village At Western Oaks Sec 16 (8); Village At Western Oaks 06 (6); Village At Western Oaks 08 (6); Village At Western Oaks Sec 14 (6); Village At Western Oaks Sec 12 (5); Village At Western Oaks Sec 01 (5); Village At Western Oaks Sec 13 (4); Village At Western Oaks 09 (3); Village At Western Oaks Sec 18 (3); Village At Western Oaks Sec 03 (3); Village At Western Oaks Sec 33 (3); and 16 more (25 records). Names found by the search but not part of Village At Western Oaks 06, left out: Smiths J W Western Oaks 1A (5); Smiths J W Western Oaks 02-A (4); Smiths J W Western Oaks 1-B (3); Village at Western Oaks IX (1); Smiths J W Western Oaks 02-B (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 41 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from November 1, 2025 to October 31, 2026 inclusive.
The data
85 single-family sales in the window: 85 resale, 0 new construction.
8.2.3 Resale and new construction
In simple terms
A resale home was previously owned. New construction is sold by the builder and behaves differently, so it is kept out of every analysis and reported once on its own.
Statistically
New construction = NewConstructionYN true, or PropertyCondition contains “New Construction” or “Under Construction”. Everything else is resale.
The data
85 resale; 0 new construction.
8.2.4 Sales left out
In simple terms
A few records cannot be used as entered and are left out before any analysis.
Statistically
Excluded: PropertySubType other than Single Family Residence; no OriginalListPrice; LivingArea under 400 SF; seller payments above 10% of ClosePrice (treated as entry errors).
The data
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 $550K”.
Statistically
Sort by the slicing variable; cut k sits at round(nk/4), k = 1…3. A cut that would split tied values moves to the nearer edge of the tie. A group under 3 sales merges into its smaller neighbor. Range names use the next group's lowest value (“Under”) and the previous group's highest value (“Over”/“After”).
The data
Quartiles by net sale price: Under $550K: $415,000–$548,250 (20 sales); $550K–$604K: $550,000–$604,000 (22 sales); $610K–$684K: $610,000–$684,240 (22 sales); Over $684K: $690,000–$950,000 (21 sales) Quartiles by living area: Under 1,902 SF: 1,366–1,892 SF (21 sales); 1,902–2,116 SF: 1,902–2,116 SF (21 sales); 2,137–2,330 SF: 2,137–2,330 SF (22 sales); Over 2,330 SF: 2,348–3,661 SF (21 sales) Quartiles by year built: Before 1989: 1978–1988 (20 sales); 1989–1996: 1989–1996 (21 sales); 1997–1998: 1997–1998 (19 sales); After 1998: 1999–2023 (25 sales) View and no view: View: MLS lists a view (18 sales); No view: None or Neighborhood (65 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 $622,198, median $610,000. Days on market: average 48, median 24: 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
6 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 = 5.59
3
0.1331
p < 0.0063
Unclear
ε² = 0.067
medium
Living area
Kruskal–Wallis
H = 32.02
3
< 0.0001
p < 0.0063
Yes
ε² = 0.381
large
Year built
Kruskal–Wallis
H = 9.91
3
0.0194
p < 0.0063
Unclear
ε² = 0.118
medium
Days on market
Kruskal–Wallis
H = 6.34
3
0.0964
p < 0.0063
Unclear
ε² = 0.075
medium
Discount from original list
Kruskal–Wallis
H = 10.63
3
0.0139
p < 0.0063
Unclear
ε² = 0.127
medium
Price cut before sale
Chi-square
χ² = 3.99
3
0.2624
p < 0.0063
Unclear
Cramér’s V = 0.217
small
Seller paid closing costs or repairs
Chi-square
χ² = 3.57
3
0.3124
p < 0.0063
Unclear
Cramér’s V = 0.205
small
Has a view
Chi-square
χ² = 1.29
3
0.7303
p < 0.0063
Unclear
Cramér’s V = 0.123
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 = 30.22
3
< 0.0001
p < 0.0063
Yes
ε² = 0.360
large
Net price per SF
Kruskal–Wallis
H = 23.63
3
< 0.0001
p < 0.0063
Yes
ε² = 0.281
large
Year built
Kruskal–Wallis
H = 16.99
3
0.0007
p < 0.0063
Yes
ε² = 0.202
large
Days on market
Kruskal–Wallis
H = 2.68
3
0.4429
p < 0.0063
Unclear
ε² = 0.032
small
Discount from original list
Kruskal–Wallis
H = 1.74
3
0.6284
p < 0.0063
Unclear
ε² = 0.021
small
Price cut before sale
Chi-square
χ² = 2.06
3
0.5597
p < 0.0063
Unclear
Cramér’s V = 0.156
small
Seller paid closing costs or repairs
Chi-square
χ² = 1.89
3
0.5950
p < 0.0063
Unclear
Cramér’s V = 0.149
small
Has a view
Chi-square
χ² = 1.49
3
0.6844
p < 0.0063
Unclear
Cramér’s V = 0.132
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 = 8.97
3
0.0297
p < 0.0063
Unclear
ε² = 0.107
medium
Net price per SF
Kruskal–Wallis
H = 11.51
3
0.0093
p < 0.0063
Unclear
ε² = 0.137
medium
Living area
Kruskal–Wallis
H = 15.43
3
0.0015
p < 0.0063
Yes
ε² = 0.184
large
Days on market
Kruskal–Wallis
H = 6.91
3
0.0747
p < 0.0063
Unclear
ε² = 0.082
medium
Discount from original list
Kruskal–Wallis
H = 12.59
3
0.0056
p < 0.0063
Yes
ε² = 0.150
large
Price cut before sale
Chi-square
χ² = 6.42
3
0.0927
p < 0.0063
Unclear
Cramér’s V = 0.275
small
Seller paid closing costs or repairs
Chi-square
χ² = 4.77
3
0.1891
p < 0.0063
Unclear
Cramér’s V = 0.237
small
Has a view
Chi-square
χ² = 4.78
3
0.1889
p < 0.0063
Unclear
Cramér’s V = 0.237
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 = 677.00
—
0.3120
p < 0.0063
Unclear
rank-biserial r = 0.157
small
Net price per SF
Mann–Whitney U
U = 620.00
—
0.7030
p < 0.0063
Unclear
rank-biserial r = 0.060
negligible
Living area
Mann–Whitney U
U = 626.50
—
0.6505
p < 0.0063
Unclear
rank-biserial r = 0.071
negligible
Year built
Mann–Whitney U
U = 446.00
—
0.1245
p < 0.0063
Unclear
rank-biserial r = 0.238
small
Days on market
Mann–Whitney U
U = 602.50
—
0.8509
p < 0.0063
Unclear
rank-biserial r = 0.030
negligible
Discount from original list
Mann–Whitney U
U = 625.00
—
0.6625
p < 0.0063
Unclear
rank-biserial r = 0.068
negligible
Price cut before sale
Chi-square
χ² = 0.16
1
0.6849
p < 0.0063
Unclear
Cramér’s V = 0.045
negligible
Seller paid closing costs or repairs
Chi-square
χ² = 0.08
1
0.7791
p < 0.0063
Unclear
Cramér’s V = 0.031
negligible
8.4 Data notes
Left out of the analysis: 0 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.