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
35
single-family resale homes
Median net sale price
$295,850
average $297,645
Median net price per SF
$137
average $147
Median days on market
52 days
average 73 days
1. SummaryResale homes · 35 sales · November 6, 2025 – November 5, 2026
This study looks at the 35 resale homes sold in Legends Hutto Ph 03 in the 365 days to November 5, 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 sold35 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 · 35 sales · November 6, 2025 – November 5, 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 $269K
$269K–$296K
$296K–$320K
Over $320K
Real difference?
Net price per SF
$152 per SF
$158 per SF
$150 per SF
$130 per SF
unclear
Living area
1,838 SF
1,859 SF
2,148 SF
2,867 SF
unclear
Year built
2003
2003
2005
2006
unclear
Days on market
56 days
44 days
21 days
76 days
unclear
Discount from original list
7.8%
6.9%
2.6%
5.5%
unclear
Price cut before sale
56%
44%
25%
33%
unclear
Seller paid closing costs or repairs
67%
89%
50%
78%
unclear
Has a view
0%
11%
12%
33%
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 $130 per SF for homes over $320K and $152 per SF for homes under $269K. It does not move in a straight line; homes $269K–$296K are highest. Defined in 8.1.2.
– No clear difference · could be chance
3.4 Living area: no clear difference
The average is 2,867 SF for homes over $320K and 1,838 SF for homes under $269K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.
– No clear difference · could be chance
3.5 Year built: no clear difference
The median is 2006 for homes over $320K and 2003 for homes under $269K. It rises step by step from the lowest range to the highest. Defined in 8.1.4.
– No clear difference · could be chance
3.6 Days on market: no clear difference
The median is 76 days for homes over $320K and 56 days for homes under $269K. It does not move in a straight line; homes over $320K 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 5.5% for homes over $320K and 7.8% for homes under $269K. It does not move in a straight line; homes under $269K 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.
33% of homes over $320K had a price cut before sale, against 56% of homes under $269K. Defined in 8.1.7.
78% of homes over $320K had the seller pay closing costs or repairs, against 67% of homes under $269K. Defined in 8.1.8.
33% of homes over $320K have a view, against 0% of homes under $269K. 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 $269K9 sales
$269K–$296K9 sales
$296K–$320K8 sales
Over $320K9 sales
All35 sales
Real difference?
Net sale price average
$247,877
$281,278
$308,970
$353,714
$297,645
by design
Net price per SF average
$152
$158
$150
$130
$147
unclear
Living area average
1,838
1,859
2,148
2,867
2,179
unclear
Year built median
2003
2003
2005
2006
2004
unclear
3.10 The numbers: selling
Under $269K9 sales
$269K–$296K9 sales
$296K–$320K8 sales
Over $320K9 sales
All35 sales
Real difference?
Days on market median
56
44
21
76
52
unclear
Discount from original list average
7.8%
6.9%
2.6%
5.5%
5.8%
unclear
Price cut before sale
56%
44%
25%
33%
40%
unclear
Seller paid closing costs or repairs
67%
89%
50%
78%
71%
unclear
Has a view
0%
11%
12%
33%
14%
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 · 35 sales · November 6, 2025 – November 5, 2026
Sales ranked by living area and cut into four equal groups, from the smallest homes to the largest.
Bottom line
Homes over 2,594 SF sell for about $89 per SF (46%) less than homes under 1,687 SF.
4.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under 1,687 SF1,687–1,959 SF1,976–2,594 SFOver 2,594 SF
Larger homes Over 2,594 SF
Sell for less per square foot.
Smaller homes Under 1,687 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 1,687 SF
1,687–1,959 SF
1,976–2,594 SF
Over 2,594 SF
Real difference?
Net sale price
$263K
$294K
$301K
$333K
unclear
Net price per SF
$195 per SFHighest
$160 per SF
$127 per SF
$106 per SFLowest
✓ large
Year built
2002
2003
2006
2006
unclear
Days on market
24 days
52 days
60 days
106 days
unclear
Discount from original list
4.5%
5.7%
5.9%
7.2%
unclear
Price cut before sale
22%
44%
38%
56%
unclear
Seller paid closing costs or repairs
89%
56%
75%
67%
unclear
Has a view
11%
22%
0%
22%
unclear
4.3 Net sale price: no clear difference
The average is $333K for homes over 2,594 SF and $263K for homes under 1,687 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.
– No clear difference · could be chance
4.4 Homes over 2,594 SF sell for about $89 per SF (46%) less than homes under 1,687 SF
The average is $106 per SF for homes over 2,594 SF and $195 per SF for homes under 1,687 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 2,594 SF and 2002 for homes under 1,687 SF. It rises 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 106 days for homes over 2,594 SF and 24 days for homes under 1,687 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.5.
– No clear difference · could be chance
4.7 Discount from original list: no clear difference
The average is 7.2% for homes over 2,594 SF and 4.5% for homes under 1,687 SF. It rises step by step from the lowest range to the 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.
56% of homes over 2,594 SF had a price cut before sale, against 22% of homes under 1,687 SF. Defined in 8.1.7.
67% of homes over 2,594 SF had the seller pay closing costs or repairs, against 89% of homes under 1,687 SF. Defined in 8.1.8.
22% of homes over 2,594 SF have a view, against 11% of homes under 1,687 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 1,687 SF9 sales
1,687–1,959 SF9 sales
1,976–2,594 SF8 sales
Over 2,594 SF9 sales
All35 sales
Real difference?
Net sale price average
$263,311
$293,849
$301,219
$332,600
$297,645
unclear
Net price per SF average
$195
$160
$127
$106
$147
✓ large
Living area average
1,365
1,840
2,380
3,153
2,179
by design
Year built median
2002
2003
2006
2006
2004
unclear
4.10 The numbers: selling
Under 1,687 SF9 sales
1,687–1,959 SF9 sales
1,976–2,594 SF8 sales
Over 2,594 SF9 sales
All35 sales
Real difference?
Days on market median
24
52
60
106
52
unclear
Discount from original list average
4.5%
5.7%
5.9%
7.2%
5.8%
unclear
Price cut before sale
22%
44%
38%
56%
40%
unclear
Seller paid closing costs or repairs
89%
56%
75%
67%
71%
unclear
Has a view
11%
22%
0%
22%
14%
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 · 35 sales · November 6, 2025 – November 5, 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 2006 are about 810 SF (52%) larger than homes built before 2003.
Homes built after 2006 sell for about $26 per SF (15%) less than homes built before 2003.
5.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Before 20032003–20042005–2006After 2006
Newer homes After 2006
Are much larger.
Sell for less per square foot.
Older homes Before 2003
Are much smaller.
Sell for more per square foot.
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 2003
2003–2004
2005–2006
After 2006
Real difference?
Net sale price
$270K
$283K
$310K
$336K
unclear
Net price per SF
$180 per SFHighest
$122 per SFLowest
$130 per SF
$154 per SF
✓ large
Living area
1,557 SFSmallest
2,384 SF
2,506 SFLargest
2,366 SF
✓ large
Days on market
23 days
70 days
90 days
21 days
unclear
Discount from original list
4.3%
7.3%
6.7%
4.8%
unclear
Price cut before sale
30%
62%
40%
29%
unclear
Seller paid closing costs or repairs
90%
62%
60%
71%
unclear
Has a view
20%
0%
10%
29%
unclear
5.3 Net sale price: no clear difference
The average is $336K for homes built after 2006 and $270K for homes built before 2003. It rises step by step from the lowest range to the highest. Defined in 8.1.1.
– No clear difference · could be chance
5.4 Homes built after 2006 sell for about $26 per SF (15%) less than homes built before 2003
The average is $154 per SF for homes built after 2006 and $180 per SF for homes built before 2003. It does not move in a straight line; homes built before 2003 are highest. Defined in 8.1.2.
✓ Real difference · large
5.5 Homes built after 2006 are about 810 SF (52%) larger than homes built before 2003
The average is 2,366 SF for homes built after 2006 and 1,557 SF for homes built before 2003. It does not move in a straight line; homes built 2005–2006 are highest. Defined in 8.1.3.
✓ Real difference · large
5.6 Days on market: no clear difference
The median is 21 days for homes built after 2006 and 23 days for homes built before 2003. It does not move in a straight line; homes built 2005–2006 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 4.8% for homes built after 2006 and 4.3% for homes built before 2003. It does not move in a straight line; homes built 2003–2004 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 2006 had a price cut before sale, against 30% of homes built before 2003. Defined in 8.1.7.
71% of homes built after 2006 had the seller pay closing costs or repairs, against 90% of homes built before 2003. Defined in 8.1.8.
29% of homes built after 2006 have a view, against 20% of homes built before 2003. 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 200310 sales
2003–20048 sales
2005–200610 sales
After 20067 sales
All35 sales
Real difference?
Net sale price average
$270,301
$283,175
$309,775
$335,919
$297,645
unclear
Net price per SF average
$180
$122
$130
$154
$147
✓ large
Living area average
1,557
2,384
2,506
2,366
2,179
✓ large
Year built median
2001
2003
2006
2007
2004
by design
5.10 The numbers: selling
Before 200310 sales
2003–20048 sales
2005–200610 sales
After 20067 sales
All35 sales
Real difference?
Days on market median
23
70
90
21
52
unclear
Discount from original list average
4.3%
7.3%
6.7%
4.8%
5.8%
unclear
Price cut before sale
30%
62%
40%
29%
40%
unclear
Seller paid closing costs or repairs
90%
62%
60%
71%
71%
unclear
Has a view
20%
0%
10%
29%
14%
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 · 35 sales · November 6, 2025 – November 5, 2026
Sales where the MLS lists a view (greenbelt or park, trees, golf course, hill country, water and similar) against those listing none or only the neighborhood.
Bottom line: no measure differs enough between the groups to rule out chance.
6.1 Key differences
The top group against the bottom group: no measure differs enough to rule out chance.
6.2 At a glance
Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.
View
No view
Real difference?
Net sale price
$327K
$293K
unclear
Net price per SF
$157 per SF
$146 per SF
unclear
Living area
2,311 SF
2,157 SF
unclear
Year built
2006
2004
unclear
Days on market
62 days
48 days
unclear
Discount from original list
6.5%
5.7%
unclear
Price cut before sale
60%
37%
unclear
Seller paid closing costs or repairs
80%
70%
unclear
6.3 Net sale price: no clear difference
The average is $327K for homes with a view and $293K 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 $157 per SF for homes with a view and $146 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 2,311 SF for homes with a view and 2,157 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 2006 for homes with a view and 2004 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 62 days for homes with a view and 48 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 6.5% for homes with a view and 5.7% 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.
60% of homes with a view had a price cut before sale, against 37% of homes without a view. Defined in 8.1.7.
80% of homes with a view had the seller pay closing costs or repairs, against 70% 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 view30 sales
All35 sales
Real difference?
Net sale price average
$326,898
$292,770
$297,645
unclear
Net price per SF average
$157
$146
$147
unclear
Living area average
2,311
2,157
2,179
unclear
Year built median
2006
2004
2004
unclear
6.11 The numbers: selling
View5 sales
No view30 sales
All35 sales
Real difference?
Days on market median
62
48
52
unclear
Discount from original list average
6.5%
5.7%
5.8%
unclear
Price cut before sale
60%
37%
40%
unclear
Seller paid closing costs or repairs
80%
70%
71%
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 6, 2025 – November 5, 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 Legends Hutto Ph 03.
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
35 resale sales. Average $297,645; median $295,850; standard deviation $42,714; middle half (25th–75th percentile) $266,953–$328,065; lowest $223,100, highest $414,800. 25 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
35 resale sales. Average $147; median $137; standard deviation $38; middle half (25th–75th percentile) $118–$179; lowest $83, highest $221.
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
35 resale sales. Average 2,179; median 1,959; standard deviation 712; middle half (25th–75th percentile) 1,684–2,627; lowest 1,009, highest 3,640.
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
35 resale sales. Average 2004; median 2004; standard deviation 3; middle half (25th–75th percentile) 2002–2006; lowest 2000, highest 2014.
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
35 resale sales. Average 73; median 52; standard deviation 87; middle half (25th–75th percentile) 18–104; lowest 4, highest 429. 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
35 resale sales. Average 5.8%; median 4.2%; standard deviation 5.7%; middle half (25th–75th percentile) 2.0%–10.6%; lowest −3.4%, highest 16.2%. 5 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
14 of 35 resale sales (40.0%).
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
25 of 35 resale sales (71.4%).
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, 30 without, 0 unclassified. Most common View entries: None 23, Neighborhood 7, Park/Greenbelt 4, Orchard 2, Pasture 1, Skyline 1, Trees/Woods 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 2026-11-06 13:45 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Hutto, SubdivisionName contains any of “legends hutto”, “legends of hutto”, “creekside estates”, “legends/hutto” (case-insensitive). A record is kept when its subdivision name belongs to the Legends Hutto Ph 03 family, the same rule comparable sales use (it includes Legends Of Hutto Ph 5B, Creekside Estates Sec 1, proven adjacent and priced alike).
The data
Pulled November 6, 2026: 35 closed Legends Hutto Ph 03 records over the prior year, in ZIP 78634. 17 subdivision spellings kept, the most common: Legends Of Hutto Ph 5B (5); Legends Hutto Ph 01 (4); Legends Hutto Ph 04 (3); Creekside Estates Sec 1 (3); Legends Hutto (2); Creekside Estates Sec 3 (2); Legends Hutto Ph 02 (2); Legends Hutto Ph 03 (2); LEGENDS OF HUTTO (2); Legends Of Hutto Ph 4 (2); Legends Of Hutto Ph 5b (2); Legends of Hutto (1); and 5 more (5 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 November 6, 2025 to November 5, 2026 inclusive.
The data
35 single-family sales in the window: 35 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
35 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 $269K”.
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 $269K: $223,100–$265,000 (9 sales); $269K–$296K: $268,906–$295,850 (9 sales); $296K–$320K: $296,000–$320,500 (8 sales); Over $320K: $335,630–$414,800 (9 sales) Quartiles by living area: Under 1,687 SF: 1,009–1,681 SF (9 sales); 1,687–1,959 SF: 1,687–1,959 SF (9 sales); 1,976–2,594 SF: 1,976–2,594 SF (8 sales); Over 2,594 SF: 2,660–3,640 SF (9 sales) Quartiles by year built: Before 2003: 2000–2002 (10 sales); 2003–2004: 2003–2004 (8 sales); 2005–2006: 2005–2006 (10 sales); After 2006: 2007–2014 (7 sales) View and no view: View: MLS lists a view (5 sales); No view: None or Neighborhood (30 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 $297,645, median $295,850. Days on market: average 73, median 52: 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 = 4.13
3
0.2474
p < 0.0063
Unclear
ε² = 0.122
medium
Living area
Kruskal–Wallis
H = 11.50
3
0.0093
p < 0.0063
Unclear
ε² = 0.338
large
Year built
Kruskal–Wallis
H = 9.01
3
0.0292
p < 0.0063
Unclear
ε² = 0.265
large
Days on market
Kruskal–Wallis
H = 2.52
3
0.4724
p < 0.0063
Unclear
ε² = 0.074
medium
Discount from original list
Kruskal–Wallis
H = 4.41
3
0.2206
p < 0.0063
Unclear
ε² = 0.130
medium
Price cut before sale
Chi-square
χ² = 1.90
3
0.5938
p < 0.0063
Unclear
Cramér’s V = 0.233
small
Seller paid closing costs or repairs
Chi-square
χ² = 3.42
3
0.3310
p < 0.0063
Unclear
Cramér’s V = 0.313
medium
Has a view
Chi-square
χ² = 4.26
3
0.2346
p < 0.0063
Unclear
Cramér’s V = 0.349
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 = 11.04
3
0.0115
p < 0.0063
Unclear
ε² = 0.325
large
Net price per SF
Kruskal–Wallis
H = 29.50
3
< 0.0001
p < 0.0063
Yes
ε² = 0.868
large
Year built
Kruskal–Wallis
H = 5.90
3
0.1168
p < 0.0063
Unclear
ε² = 0.173
large
Days on market
Kruskal–Wallis
H = 4.61
3
0.2029
p < 0.0063
Unclear
ε² = 0.136
medium
Discount from original list
Kruskal–Wallis
H = 0.68
3
0.8776
p < 0.0063
Unclear
ε² = 0.020
small
Price cut before sale
Chi-square
χ² = 2.19
3
0.5344
p < 0.0063
Unclear
Cramér’s V = 0.250
small
Seller paid closing costs or repairs
Chi-square
χ² = 2.61
3
0.4565
p < 0.0063
Unclear
Cramér’s V = 0.273
small
Has a view
Chi-square
χ² = 2.33
3
0.5062
p < 0.0063
Unclear
Cramér’s V = 0.258
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 = 11.31
3
0.0101
p < 0.0063
Unclear
ε² = 0.333
large
Net price per SF
Kruskal–Wallis
H = 12.71
3
0.0053
p < 0.0063
Yes
ε² = 0.374
large
Living area
Kruskal–Wallis
H = 13.15
3
0.0043
p < 0.0063
Yes
ε² = 0.387
large
Days on market
Kruskal–Wallis
H = 4.92
3
0.1778
p < 0.0063
Unclear
ε² = 0.145
large
Discount from original list
Kruskal–Wallis
H = 0.90
3
0.8252
p < 0.0063
Unclear
ε² = 0.026
small
Price cut before sale
Chi-square
χ² = 2.49
3
0.4780
p < 0.0063
Unclear
Cramér’s V = 0.266
small
Seller paid closing costs or repairs
Chi-square
χ² = 2.64
3
0.4501
p < 0.0063
Unclear
Cramér’s V = 0.275
small
Has a view
Chi-square
χ² = 2.92
3
0.4047
p < 0.0063
Unclear
Cramér’s V = 0.289
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 = 112.50
—
0.0811
p < 0.0063
Unclear
rank-biserial r = 0.500
large
Net price per SF
Mann–Whitney U
U = 83.00
—
0.7317
p < 0.0063
Unclear
rank-biserial r = 0.107
small
Living area
Mann–Whitney U
U = 78.00
—
0.9062
p < 0.0063
Unclear
rank-biserial r = 0.040
negligible
Year built
Mann–Whitney U
U = 88.00
—
0.5522
p < 0.0063
Unclear
rank-biserial r = 0.173
small
Days on market
Mann–Whitney U
U = 90.00
—
0.4941
p < 0.0063
Unclear
rank-biserial r = 0.200
small
Discount from original list
Mann–Whitney U
U = 77.00
—
0.9454
p < 0.0063
Unclear
rank-biserial r = 0.027
negligible
Price cut before sale
Chi-square
χ² = 0.97
1
0.3241
p < 0.0063
Unclear
Cramér’s V = 0.167
small
Seller paid closing costs or repairs
Chi-square
χ² = 0.21
1
0.6468
p < 0.0063
Unclear
Cramér’s V = 0.077
negligible
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.