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
32
single-family resale homes
Median net sale price
$363,362
average $361,023
Median net price per SF
$194
average $190
Median days on market
35 days
average 47 days
1. SummaryResale homes · 32 sales · October 26, 2025 – October 25, 2026
This study looks at the 32 resale homes sold in Pioneer Crossing West in the 365 days to October 25, 2026. A full year is used because only 17 resale homes sold in the last 180 days. New construction is left out and shown on its own in section 7. The homes are compared four ways: by price, by living area, by year built and with or without a view. The first three are split into four equal groups (quartiles), each named by its range.
Each comparison has its own section (3–6) with everything about it in one place: the key differences, a table of every measure at a glance, the charts and the numbers.
2. Where the resale homes sold32 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 · 32 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: no measure differs enough between the groups to rule out chance.
3.1 Key differences
The top group against the bottom group: no measure differs enough to rule out chance.
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 $350K
$350K–$362K
$365K–$374K
Over $374K
Real difference?
Net price per SF
$186 per SF
$188 per SF
$184 per SF
$202 per SF
unclear
Living area
1,824 SF
1,934 SF
2,037 SF
1,922 SF
unclear
Year built
2006
2006
2008
2008
unclear
Days on market
67 days
18 days
26 days
36 days
unclear
Discount from original list
6.0%
5.0%
4.5%
4.7%
unclear
Price cut before sale
38%
38%
25%
25%
unclear
Seller paid closing costs or repairs
50%
50%
62%
75%
unclear
Has a view
0%
0%
38%
25%
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 $202 per SF for homes over $374K and $186 per SF for homes under $350K. It does not move in a straight line; homes over $374K are highest. Defined in 8.1.2.
– No clear difference · could be chance
3.4 Living area: no clear difference
The average is 1,922 SF for homes over $374K and 1,824 SF for homes under $350K. It does not move in a straight line; homes $365K–$374K are highest. Defined in 8.1.3.
– No clear difference · could be chance
3.5 Year built: no clear difference
The median is 2008 for homes over $374K and 2006 for homes under $350K. It does not move in a straight line; homes $365K–$374K are highest. Defined in 8.1.4.
– No clear difference · could be chance
3.6 Days on market: no clear difference
The median is 36 days for homes over $374K and 67 days for homes under $350K. It does not move in a straight line; homes under $350K 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 4.7% for homes over $374K and 6.0% for homes under $350K. It does not move in a straight line; homes under $350K 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.
25% of homes over $374K had a price cut before sale, against 38% of homes under $350K. Defined in 8.1.7.
75% of homes over $374K had the seller pay closing costs or repairs, against 50% of homes under $350K. Defined in 8.1.8.
25% of homes over $374K have a view, against 0% of homes under $350K. 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 $350K8 sales
$350K–$362K8 sales
$365K–$374K8 sales
Over $374K8 sales
All32 sales
Real difference?
Net sale price average
$333,994
$356,638
$368,947
$384,512
$361,023
by design
Net price per SF average
$186
$188
$184
$202
$190
unclear
Living area average
1,824
1,934
2,037
1,922
1,929
unclear
Year built median
2006
2006
2008
2008
2006
unclear
3.10 The numbers: selling
Under $350K8 sales
$350K–$362K8 sales
$365K–$374K8 sales
Over $374K8 sales
All32 sales
Real difference?
Days on market median
67
18
26
36
35
unclear
Discount from original list average
6.0%
5.0%
4.5%
4.7%
5.0%
unclear
Price cut before sale
38%
38%
25%
25%
31%
unclear
Seller paid closing costs or repairs
50%
50%
62%
75%
59%
unclear
Has a view
0%
0%
38%
25%
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 · 32 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 1,957 SF sell for about $60 per SF (28%) less than homes under 1,722 SF.
4.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under 1,722 SF1,722–1,874 SF1,889–1,957 SFOver 1,957 SF
Larger homes Over 1,957 SF
Sell for less per square foot.
Smaller homes Under 1,722 SF
Sell for more per square foot.
4.2 At a glance
Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.
Under 1,722 SF
1,722–1,874 SF
1,889–1,957 SF
Over 1,957 SF
Real difference?
Net sale price
$350K
$367K
$370K
$357K
unclear
Net price per SF
$213 per SFHighest
$201 per SF
$192 per SF
$153 per SFLowest
✓ large
Year built
2010
2006
2008
2006
unclear
Days on market
38 days
39 days
26 days
48 days
unclear
Discount from original list
4.0%
4.2%
2.8%
9.1%
unclear
Price cut before sale
25%
38%
0%
62%
unclear
Seller paid closing costs or repairs
75%
38%
62%
62%
unclear
Has a view
12%
12%
12%
25%
unclear
4.3 Net sale price: no clear difference
The average is $357K for homes over 1,957 SF and $350K for homes under 1,722 SF. It does not move in a straight line; homes 1,889–1,957 SF are highest. Defined in 8.1.1.
– No clear difference · could be chance
4.4 Homes over 1,957 SF sell for about $60 per SF (28%) less than homes under 1,722 SF
The average is $153 per SF for homes over 1,957 SF and $213 per SF for homes under 1,722 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.
✓ Real difference · large
4.5 Year built: no clear difference
The median is 2006 for homes over 1,957 SF and 2010 for homes under 1,722 SF. It does not move in a straight line; homes under 1,722 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 48 days for homes over 1,957 SF and 38 days for homes under 1,722 SF. It does not move in a straight line; homes over 1,957 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 9.1% for homes over 1,957 SF and 4.0% for homes under 1,722 SF. It does not move in a straight line; homes over 1,957 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.
62% of homes over 1,957 SF had a price cut before sale, against 25% of homes under 1,722 SF. Defined in 8.1.7.
62% of homes over 1,957 SF had the seller pay closing costs or repairs, against 75% of homes under 1,722 SF. Defined in 8.1.8.
25% of homes over 1,957 SF have a view, against 12% of homes under 1,722 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 1,722 SF8 sales
1,722–1,874 SF8 sales
1,889–1,957 SF8 sales
Over 1,957 SF8 sales
All32 sales
Real difference?
Net sale price average
$350,031
$366,875
$370,006
$357,178
$361,023
unclear
Net price per SF average
$213
$201
$192
$153
$190
✓ large
Living area average
1,640
1,824
1,926
2,327
1,929
by design
Year built median
2010
2006
2008
2006
2006
unclear
4.10 The numbers: selling
Under 1,722 SF8 sales
1,722–1,874 SF8 sales
1,889–1,957 SF8 sales
Over 1,957 SF8 sales
All32 sales
Real difference?
Days on market median
38
39
26
48
35
unclear
Discount from original list average
4.0%
4.2%
2.8%
9.1%
5.0%
unclear
Price cut before sale
25%
38%
0%
62%
31%
unclear
Seller paid closing costs or repairs
75%
38%
62%
62%
59%
unclear
Has a view
12%
12%
12%
25%
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 · 32 sales · October 26, 2025 – October 25, 2026
Sales ranked by year built and cut into four groups, from the oldest to the newest. Homes built in the same year always stay in the same group, so group sizes can differ a little.
Bottom line: no measure differs enough between the groups to rule out chance.
5.1 Key differences
The top group against the bottom group: no measure differs enough to rule out chance.
5.2 At a glance
Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.
Before 2006
2006
2007–2010
After 2010
Real difference?
Net sale price
$357K
$357K
$368K
$362K
unclear
Net price per SF
$193 per SF
$179 per SF
$189 per SF
$197 per SF
unclear
Living area
1,865 SF
2,031 SF
1,985 SF
1,862 SF
unclear
Days on market
40 days
28 days
51 days
9 days
unclear
Discount from original list
3.2%
6.6%
6.4%
4.6%
unclear
Price cut before sale
20%
33%
44%
29%
unclear
Seller paid closing costs or repairs
40%
67%
78%
57%
unclear
Has a view
0%
17%
22%
29%
unclear
5.3 Net sale price: no clear difference
The average is $362K for homes built after 2010 and $357K for homes built before 2006. It does not move in a straight line; homes built 2007–2010 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 $197 per SF for homes built after 2010 and $193 per SF for homes built before 2006. It does not move in a straight line; homes built after 2010 are highest. Defined in 8.1.2.
– No clear difference · could be chance
5.5 Living area: no clear difference
The average is 1,862 SF for homes built after 2010 and 1,865 SF for homes built before 2006. It does not move in a straight line; homes built 2006 are highest. Defined in 8.1.3.
– No clear difference · could be chance
5.6 Days on market: no clear difference
The median is 9 days for homes built after 2010 and 40 days for homes built before 2006. It does not move in a straight line; homes built 2007–2010 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 4.6% for homes built after 2010 and 3.2% for homes built before 2006. It does not move in a straight line; homes built 2006 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.
29% of homes built after 2010 had a price cut before sale, against 20% of homes built before 2006. Defined in 8.1.7.
57% of homes built after 2010 had the seller pay closing costs or repairs, against 40% of homes built before 2006. Defined in 8.1.8.
29% of homes built after 2010 have a view, against 0% of homes built before 2006. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance
5.9 The numbers: price and size
Before 200610 sales
20066 sales
2007–20109 sales
After 20107 sales
All32 sales
Real difference?
Net sale price average
$357,040
$356,654
$367,628
$361,964
$361,023
unclear
Net price per SF average
$193
$179
$189
$197
$190
unclear
Living area average
1,865
2,031
1,985
1,862
1,929
unclear
Year built median
2005
2006
2010
2014
2006
by design
5.10 The numbers: selling
Before 200610 sales
20066 sales
2007–20109 sales
After 20107 sales
All32 sales
Real difference?
Days on market median
40
28
51
9
35
unclear
Discount from original list average
3.2%
6.6%
6.4%
4.6%
5.0%
unclear
Price cut before sale
20%
33%
44%
29%
31%
unclear
Seller paid closing costs or repairs
40%
67%
78%
57%
59%
unclear
Has a view
0%
17%
22%
29%
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 · 32 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
$377K
$358K
unclear
Net price per SF
$192 per SF
$191 per SF
unclear
Living area
2,000 SF
1,900 SF
unclear
Year built
2010
2006
unclear
Days on market
46 days
34 days
unclear
Discount from original list
5.6%
4.5%
unclear
Price cut before sale
40%
27%
unclear
Seller paid closing costs or repairs
100%
50%
unclear
6.3 Net sale price: no clear difference
The average is $377K for homes with a view and $358K 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 $192 per SF for homes with a view and $191 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 2,000 SF for homes with a view and 1,900 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 2010 for homes with a view and 2006 for homes without a view. Defined in 8.1.4.
– No clear difference · could be chance
6.7 Days on market: no clear difference
The median is 46 days for homes with a view and 34 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 5.6% for homes with a view and 4.5% 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.
40% of homes with a view had a price cut before sale, against 27% of homes without a view. Defined in 8.1.7.
100% of homes with a view had the seller pay closing costs or repairs, against 50% 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
View5 sales
No view26 sales
All31 sales
Real difference?
Net sale price average
$376,785
$358,146
$361,152
unclear
Net price per SF average
$192
$191
$191
unclear
Living area average
2,000
1,900
1,916
unclear
Year built median
2010
2006
2006
unclear
6.11 The numbers: selling
View5 sales
No view26 sales
All31 sales
Real difference?
Days on market median
46
34
34
unclear
Discount from original list average
5.6%
4.5%
4.7%
unclear
Price cut before sale
40%
27%
29%
unclear
Seller paid closing costs or repairs
100%
50%
58%
unclear
Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.4.
7. New constructionBasic statistics · 0 sales · October 26, 2025 – October 25, 2026
Homes sold new by the builder in the same 365 days. They are left out of every other section and shown here as basic figures only: 0 sales, no groups, no tests.
Note: these are only the new-construction sales reported in ABOR MLS. Builders often sell homes without listing them in the MLS, so these figures do not necessarily represent all new-construction sales in Pioneer Crossing West.
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
32 resale sales. Average $361,023; median $363,362; standard deviation $20,339; middle half (25th–75th percentile) $349,750–$374,325; lowest $315,000, highest $403,000. 19 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
32 resale sales. Average $190; median $194; standard deviation $24; middle half (25th–75th percentile) $173–$206; lowest $146, highest $229.
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
32 resale sales. Average 1,929; median 1,882; standard deviation 263; middle half (25th–75th percentile) 1,713–1,992; lowest 1,608, highest 2,432.
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
32 resale sales. Average 2008; median 2006; standard deviation 4; middle half (25th–75th percentile) 2005–2010; lowest 2003, highest 2018.
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
32 resale sales. Average 47; median 35; standard deviation 49; middle half (25th–75th percentile) 16–60; lowest 3, highest 217. 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
32 resale sales. Average 5.0%; median 4.1%; standard deviation 4.6%; middle half (25th–75th percentile) 1.9%–7.5%; lowest −1.5%, highest 17.9%. 1 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
10 of 32 resale sales (31.2%).
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
19 of 32 resale sales (59.4%).
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
5 sales with a view, 26 without, 1 unclassified. Most common View entries: None 20, Neighborhood 9, Park/Greenbelt 3, Trees/Woods 2, See Remarks 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 “pioneer crossing west” (case-insensitive). A record is kept when its subdivision name belongs to the Pioneer Crossing West family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 32 closed Pioneer Crossing West records over the prior year, in ZIP 78754. 11 subdivision spellings kept: Pioneer Crossing West Sec 04 (7); Pioneer Crossing West (6); Pioneer Crossing West Sec 07 (5); Pioneer Crossing West Sec 02 (4); Pioneer Crossing West Sec 05 (2); Pioneer Crossing West Sec 06 (2); Pioneer Crossing West Sec 8A (2); Pioneer Crossing West Sec 8b (1); Pioneer Crossing West Sec 9b (1); Pioneer Crossing West Sec 8B (1); Pioneer Crossing West Sec 9a (1). Names found by the search but not part of Pioneer Crossing West, left out: Creekside at Pioneer Crossing West (1).
8.2.2 Study window
In simple terms
The most recent 365 days of closed sales: recent enough to describe today's market, long enough to give each group plenty of sales. The usual window is 180 days; it holds only 17 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
32 single-family sales in the window: 32 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
32 resale; 0 new construction.
8.2.4 Sales left out
In simple terms
A few records cannot be used as entered and are left out before any analysis.
Statistically
Excluded: PropertySubType other than Single Family Residence; no OriginalListPrice; LivingArea under 400 SF; seller payments above 10% of ClosePrice (treated as entry errors).
The data
None in this window.
8.2.5 Quartiles and groups
In simple terms
Sales lined up from lowest to highest and cut into four groups of about equal size. Each group is named by its range, for example “Under $350K”.
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 $350K: $315,000–$349,000 (8 sales); $350K–$362K: $350,000–$362,000 (8 sales); $365K–$374K: $364,725–$374,100 (8 sales); Over $374K: $375,000–$403,000 (8 sales) Quartiles by living area: Under 1,722 SF: 1,608–1,685 SF (8 sales); 1,722–1,874 SF: 1,722–1,874 SF (8 sales); 1,889–1,957 SF: 1,889–1,957 SF (8 sales); Over 1,957 SF: 2,099–2,432 SF (8 sales) Quartiles by year built: Before 2006: 2003–2005 (10 sales); 2006: 2006–2006 (6 sales); 2007–2010: 2007–2010 (9 sales); After 2010: 2011–2018 (7 sales) View and no view: View: MLS lists a view (5 sales); No view: None or Neighborhood (26 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 $361,023, median $363,362. Days on market: average 47, median 35: 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
1 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 = 4.34
3
0.2272
p < 0.0063
Unclear
ε² = 0.140
medium
Living area
Kruskal–Wallis
H = 3.08
3
0.3801
p < 0.0063
Unclear
ε² = 0.099
medium
Year built
Kruskal–Wallis
H = 0.19
3
0.9797
p < 0.0063
Unclear
ε² = 0.006
negligible
Days on market
Kruskal–Wallis
H = 8.70
3
0.0335
p < 0.0063
Unclear
ε² = 0.281
large
Discount from original list
Kruskal–Wallis
H = 0.47
3
0.9257
p < 0.0063
Unclear
ε² = 0.015
small
Price cut before sale
Chi-square
χ² = 0.58
3
0.9006
p < 0.0063
Unclear
Cramér’s V = 0.135
small
Seller paid closing costs or repairs
Chi-square
χ² = 1.43
3
0.6997
p < 0.0063
Unclear
Cramér’s V = 0.211
small
Has a view
Chi-square
χ² = 6.40
3
0.0937
p < 0.0063
Unclear
Cramér’s V = 0.447
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 = 4.01
3
0.2599
p < 0.0063
Unclear
ε² = 0.129
medium
Net price per SF
Kruskal–Wallis
H = 23.36
3
< 0.0001
p < 0.0063
Yes
ε² = 0.753
large
Year built
Kruskal–Wallis
H = 2.31
3
0.5101
p < 0.0063
Unclear
ε² = 0.075
medium
Days on market
Kruskal–Wallis
H = 3.75
3
0.2902
p < 0.0063
Unclear
ε² = 0.121
medium
Discount from original list
Kruskal–Wallis
H = 6.31
3
0.0975
p < 0.0063
Unclear
ε² = 0.204
large
Price cut before sale
Chi-square
χ² = 7.56
3
0.0559
p < 0.0063
Unclear
Cramér’s V = 0.486
medium
Seller paid closing costs or repairs
Chi-square
χ² = 2.46
3
0.4823
p < 0.0063
Unclear
Cramér’s V = 0.277
small
Has a view
Chi-square
χ² = 0.71
3
0.8706
p < 0.0063
Unclear
Cramér’s V = 0.149
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 = 1.88
3
0.5984
p < 0.0063
Unclear
ε² = 0.061
medium
Net price per SF
Kruskal–Wallis
H = 1.39
3
0.7085
p < 0.0063
Unclear
ε² = 0.045
small
Living area
Kruskal–Wallis
H = 1.66
3
0.6448
p < 0.0063
Unclear
ε² = 0.054
small
Days on market
Kruskal–Wallis
H = 4.10
3
0.2508
p < 0.0063
Unclear
ε² = 0.132
medium
Discount from original list
Kruskal–Wallis
H = 4.39
3
0.2224
p < 0.0063
Unclear
ε² = 0.142
large
Price cut before sale
Chi-square
χ² = 1.35
3
0.7164
p < 0.0063
Unclear
Cramér’s V = 0.206
small
Seller paid closing costs or repairs
Chi-square
χ² = 2.97
3
0.3968
p < 0.0063
Unclear
Cramér’s V = 0.304
medium
Has a view
Chi-square
χ² = 3.04
3
0.3849
p < 0.0063
Unclear
Cramér’s V = 0.308
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 = 101.00
—
0.0547
p < 0.0063
Unclear
rank-biserial r = 0.554
large
Net price per SF
Mann–Whitney U
U = 72.00
—
0.7350
p < 0.0063
Unclear
rank-biserial r = 0.108
small
Living area
Mann–Whitney U
U = 73.00
—
0.6868
p < 0.0063
Unclear
rank-biserial r = 0.123
small
Year built
Mann–Whitney U
U = 100.00
—
0.0608
p < 0.0063
Unclear
rank-biserial r = 0.538
large
Days on market
Mann–Whitney U
U = 63.00
—
0.9358
p < 0.0063
Unclear
rank-biserial r = 0.031
negligible
Discount from original list
Mann–Whitney U
U = 72.00
—
0.7350
p < 0.0063
Unclear
rank-biserial r = 0.108
small
Price cut before sale
Chi-square
χ² = 0.35
1
0.5552
p < 0.0063
Unclear
Cramér’s V = 0.106
small
Seller paid closing costs or repairs
Chi-square
χ² = 4.31
1
0.0380
p < 0.0063
Unclear
Cramér’s V = 0.373
medium
8.4 Data notes
Left out of the analysis: 0 new-construction sales (basic statistics only, section 7); nothing else. Statistics: Python, NumPy 2.5.3, SciPy 1.18.1.
8.5 References
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Erlbaum.
Cramér, H. (1946). Mathematical Methods of Statistics. Princeton University Press.
Dunn, O. J. (1961). Multiple comparisons among means. JASA, 56(293), 52–64.
Kerby, D. S. (2014). The simple difference formula: an approach to teaching nonparametric correlation. Comprehensive Psychology, 3, 11.IT.3.1.
Kruskal, W. H., & Wallis, W. A. (1952). Use of ranks in one-criterion variance analysis. JASA, 47(260), 583–621.
Mann, H. B., & Whitney, D. R. (1947). On a test of whether one of two random variables is stochastically larger than the other. Annals of Mathematical Statistics, 18(1), 50–60.
Pearson, K. (1900). On the criterion that a given system of deviations… Philosophical Magazine, 50(302), 157–175.
Tomczak, M., & Tomczak, E. (2014). The need to report effect size estimates revisited. Trends in Sport Sciences, 21(1), 19–25.