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
30
single-family resale homes
Median net sale price
$297,250
average $298,260
Median net price per SF
$196
average $194
Median days on market
34 days
average 64 days
1. SummaryResale homes · 30 sales · October 26, 2025 – October 25, 2026
This study looks at the 30 resale homes sold in Gaston-Sheldon in the 365 days to October 25, 2026. A full year is used because only 20 resale homes sold in the last 180 days. New construction is left out and shown on its own in section 7. The homes are compared four ways: by price, by living area, by year built and with or without a view. The first three are split into four equal groups (quartiles), each named by its range.
Each comparison has its own section (3–6) with everything about it in one place: the key differences, a table of every measure at a glance, the charts and the numbers.
2. Where the resale homes sold30 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 · 30 sales · October 26, 2025 – October 25, 2026
Sales ranked by net sale price and cut into four equal groups. This is the usual way to read a market by price.
Bottom line
Homes over $325K sell about 11 percentage points closer to their first asking price than homes under $286K.
Homes over $325K sell 84 days faster than homes under $286K.
3.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under $286K$286K–$296K$299K–$325KOver $325K
Higher-priced homes Over $325K
Sell closer to their first asking price.
Sell faster.
Lower-priced homes Under $286K
Sell further below their first asking price.
Take longer to sell.
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 $286K
$286K–$296K
$299K–$325K
Over $325K
Real difference?
Net price per SF
$197 per SF
$193 per SF
$193 per SF
$193 per SF
unclear
Living area
1,339 SF
1,537 SF
1,634 SF
1,745 SF
unclear
Year built
2004
2004
2003
2003
unclear
Days on market
100 daysSlowest
41 days
33 days
16 daysFastest
✓ large
Discount from original list
12.6%Biggest
5.8%
5.6%
1.6%Smallest
✓ large
Price cut before sale
88%
57%
43%
12%
unclear
Seller paid closing costs or repairs
88%
100%
86%
50%
unclear
Has a view
50%
14%
14%
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 $193 per SF for homes over $325K and $197 per SF for homes under $286K. It does not move in a straight line; homes under $286K are highest. Defined in 8.1.2.
– No clear difference · could be chance
3.4 Living area: no clear difference
The average is 1,745 SF for homes over $325K and 1,339 SF for homes under $286K. 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 2003 for homes over $325K and 2004 for homes under $286K. It does not move in a straight line; homes $286K–$296K are highest. Defined in 8.1.4.
– No clear difference · could be chance
3.6 Homes over $325K sell 84 days faster than homes under $286K
The median is 16 days for homes over $325K and 100 days for homes under $286K. It falls step by step from the lowest range to the highest. Defined in 8.1.5.
✓ Real difference · large
3.7 Homes over $325K sell about 11 percentage points closer to their first asking price than homes under $286K
The average is 1.6% for homes over $325K and 12.6% for homes under $286K. It falls step by step from the lowest range to the highest. Defined in 8.1.6.
✓ Real difference · large
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.
12% of homes over $325K had a price cut before sale, against 88% of homes under $286K. Defined in 8.1.7.
50% of homes over $325K had the seller pay closing costs or repairs, against 88% of homes under $286K. Defined in 8.1.8.
25% of homes over $325K have a view, against 50% of homes under $286K. 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 $286K8 sales
$286K–$296K7 sales
$299K–$325K7 sales
Over $325K8 sales
All30 sales
Real difference?
Net sale price average
$257,816
$291,464
$307,418
$336,638
$298,260
by design
Net price per SF average
$197
$193
$193
$193
$194
unclear
Living area average
1,339
1,537
1,634
1,745
1,562
unclear
Year built median
2004
2004
2003
2003
2003
unclear
3.10 The numbers: selling
Under $286K8 sales
$286K–$296K7 sales
$299K–$325K7 sales
Over $325K8 sales
All30 sales
Real difference?
Days on market median
100
41
33
16
34
✓ large
Discount from original list average
12.6%
5.8%
5.6%
1.6%
6.4%
✓ large
Price cut before sale
88%
57%
43%
12%
50%
unclear
Seller paid closing costs or repairs
88%
100%
86%
50%
80%
unclear
Has a view
50%
14%
14%
25%
27%
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 · 30 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 1,685 SF sell for about $52 per SF (23%) less than homes under 1,355 SF.
4.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under 1,355 SF1,355–1,590 SF1,685 SFOver 1,685 SF
Larger homes Over 1,685 SF
Sell for less per square foot.
Smaller homes Under 1,355 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 1,355 SF
1,355–1,590 SF
1,685 SF
Over 1,685 SF
Real difference?
Net sale price
$278K
$287K
$301K
$321K
unclear
Net price per SF
$228 per SFHighest
$202 per SF
$179 per SF
$176 per SFLowest
✓ large
Year built
2004
2004
2003
2004
unclear
Days on market
66 days
37 days
29 days
22 days
unclear
Discount from original list
6.1%
7.2%
8.4%
4.0%
unclear
Price cut before sale
83%
38%
50%
38%
unclear
Seller paid closing costs or repairs
67%
100%
88%
62%
unclear
Has a view
50%
25%
25%
12%
unclear
4.3 Net sale price: no clear difference
The average is $321K for homes over 1,685 SF and $278K for homes under 1,355 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 1,685 SF sell for about $52 per SF (23%) less than homes under 1,355 SF
The average is $176 per SF for homes over 1,685 SF and $228 per SF for homes under 1,355 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 2004 for homes over 1,685 SF and 2004 for homes under 1,355 SF. It does not move in a straight line; homes under 1,355 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 22 days for homes over 1,685 SF and 66 days for homes under 1,355 SF. It falls 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 4.0% for homes over 1,685 SF and 6.1% for homes under 1,355 SF. It does not move in a straight line; homes 1,685 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.
38% of homes over 1,685 SF had a price cut before sale, against 83% of homes under 1,355 SF. Defined in 8.1.7.
62% of homes over 1,685 SF had the seller pay closing costs or repairs, against 67% of homes under 1,355 SF. Defined in 8.1.8.
12% of homes over 1,685 SF have a view, against 50% of homes under 1,355 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 1,355 SF6 sales
1,355–1,590 SF8 sales
1,685 SF8 sales
Over 1,685 SF8 sales
All30 sales
Real difference?
Net sale price average
$278,498
$286,777
$301,440
$321,385
$298,260
unclear
Net price per SF average
$228
$202
$179
$176
$194
✓ large
Living area average
1,226
1,418
1,685
1,836
1,562
by design
Year built median
2004
2004
2003
2004
2003
unclear
4.10 The numbers: selling
Under 1,355 SF6 sales
1,355–1,590 SF8 sales
1,685 SF8 sales
Over 1,685 SF8 sales
All30 sales
Real difference?
Days on market median
66
37
29
22
34
unclear
Discount from original list average
6.1%
7.2%
8.4%
4.0%
6.4%
unclear
Price cut before sale
83%
38%
50%
38%
50%
unclear
Seller paid closing costs or repairs
67%
100%
88%
62%
80%
unclear
Has a view
50%
25%
25%
12%
27%
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 · 30 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 2003
2003
2004
After 2004
Real difference?
Net sale price
$301K
$301K
$300K
$288K
unclear
Net price per SF
$198 per SF
$192 per SF
$205 per SF
$182 per SF
unclear
Living area
1,536 SF
1,602 SF
1,494 SF
1,596 SF
unclear
Days on market
34 days
33 days
29 days
66 days
unclear
Discount from original list
4.5%
7.1%
5.2%
8.6%
unclear
Price cut before sale
33%
45%
57%
67%
unclear
Seller paid closing costs or repairs
83%
73%
71%
100%
unclear
Has a view
50%
27%
29%
0%
unclear
5.3 Net sale price: no clear difference
The average is $288K for homes built after 2004 and $301K for homes built before 2003. It does not move in a straight line; homes built 2003 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 $182 per SF for homes built after 2004 and $198 per SF for homes built before 2003. It does not move in a straight line; homes built 2004 are highest. Defined in 8.1.2.
– No clear difference · could be chance
5.5 Living area: no clear difference
The average is 1,596 SF for homes built after 2004 and 1,536 SF for homes built before 2003. It does not move in a straight line; homes built 2003 are highest. Defined in 8.1.3.
– No clear difference · could be chance
5.6 Days on market: no clear difference
The median is 66 days for homes built after 2004 and 34 days for homes built before 2003. It does not move in a straight line; homes built after 2004 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 8.6% for homes built after 2004 and 4.5% for homes built before 2003. It does not move in a straight line; homes built after 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.
67% of homes built after 2004 had a price cut before sale, against 33% of homes built before 2003. Defined in 8.1.7.
100% of homes built after 2004 had the seller pay closing costs or repairs, against 83% of homes built before 2003. Defined in 8.1.8.
0% of homes built after 2004 have a view, against 50% 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 20036 sales
200311 sales
20047 sales
After 20046 sales
All30 sales
Real difference?
Net sale price average
$301,248
$301,423
$299,854
$287,615
$298,260
unclear
Net price per SF average
$198
$192
$205
$182
$194
unclear
Living area average
1,536
1,602
1,494
1,596
1,562
unclear
Year built median
2002
2003
2004
2005
2003
by design
5.10 The numbers: selling
Before 20036 sales
200311 sales
20047 sales
After 20046 sales
All30 sales
Real difference?
Days on market median
34
33
29
66
34
unclear
Discount from original list average
4.5%
7.1%
5.2%
8.6%
6.4%
unclear
Price cut before sale
33%
45%
57%
67%
50%
unclear
Seller paid closing costs or repairs
83%
73%
71%
100%
80%
unclear
Has a view
50%
27%
29%
0%
27%
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 · 30 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.
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
$293K
$300K
unclear
Net price per SF
$204 per SF
$190 per SF
unclear
Living area
1,446 SF
1,604 SF
unclear
Year built
2003
2004
unclear
Days on market
76 days
31 days
unclear
Discount from original list
6.3%
6.5%
unclear
Price cut before sale
50%
50%
unclear
Seller paid closing costs or repairs
100%
73%
unclear
6.3 Net sale price: no clear difference
The average is $293K for homes with a view and $300K 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 $204 per SF for homes with a view and $190 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 1,446 SF for homes with a view and 1,604 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 2003 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 76 days for homes with a view and 31 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 6.3% for homes with a view and 6.5% 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.
50% of homes with a view had a price cut before sale, against 50% 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 73% 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
View8 sales
No view22 sales
All30 sales
Real difference?
Net sale price average
$292,674
$300,292
$298,260
unclear
Net price per SF average
$204
$190
$194
unclear
Living area average
1,446
1,604
1,562
unclear
Year built median
2003
2004
2003
unclear
6.11 The numbers: selling
View8 sales
No view22 sales
All30 sales
Real difference?
Days on market median
76
31
34
unclear
Discount from original list average
6.3%
6.5%
6.4%
unclear
Price cut before sale
50%
50%
50%
unclear
Seller paid closing costs or repairs
100%
73%
80%
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 Gaston-Sheldon.
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
30 resale sales. Average $298,260; median $297,250; standard deviation $33,429; middle half (25th–75th percentile) $282,500–$328,362; lowest $188,700, highest $345,400. 24 sales had a seller payment; their median payment was $5,762.
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
30 resale sales. Average $194; median $196; standard deviation $27; middle half (25th–75th percentile) $179–$209; lowest $112, highest $251.
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
30 resale sales. Average 1,562; median 1,685; standard deviation 248; middle half (25th–75th percentile) 1,355–1,702; lowest 1,167, highest 2,116.
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
30 resale sales. Average 2003; median 2003; standard deviation 1; middle half (25th–75th percentile) 2003–2004; lowest 2002, highest 2005.
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
30 resale sales. Average 64; median 34; standard deviation 74; middle half (25th–75th percentile) 15–88; lowest 3, highest 317. 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
30 resale sales. Average 6.4%; median 5.1%; standard deviation 6.7%; middle half (25th–75th percentile) 2.2%–8.7%; lowest −1.5%, highest 34.7%. 2 sales closed above their first asking price.
8.1.7 Price cut before sale
In simple terms
The asking price was lowered at least once before the home went under contract.
Statistically
Indicator: ListPrice at close < OriginalListPrice. Reported as the share of sales (%).
The data
15 of 30 resale sales (50.0%).
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
24 of 30 resale sales (80.0%).
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
8 sales with a view, 22 without, 0 unclassified. Most common View entries: None 19, Neighborhood 7, Park/Greenbelt 4, Trees/Woods 2, Pool 1, See Remarks 1, Pond 1, City Lights 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 = Pflugerville, SubdivisionName contains any of “gaston sheldon”, “gaston-sheldon” (case-insensitive). A record is kept when its subdivision name belongs to the Gaston-Sheldon family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 30 closed Gaston-Sheldon records over the prior year, in ZIP 78660. 7 subdivision spellings kept: Gaston-Sheldon Sec 03 (12); Gaston-Sheldon Sec 05 (6); Gaston-Sheldon Sec 02 (4); Gaston-Sheldon Sec 04 (3); Gaston-Sheldon Sec 01 (2); Gaston-Sheldon (2); Gaston-sheldon Subd Sec 1 (1). No other names were found by the search.
8.2.2 Study window
In simple terms
The most recent 365 days of closed sales: recent enough to describe today's market, long enough to give each group plenty of sales. The usual window is 180 days; it holds only 20 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
30 single-family sales in the window: 30 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
30 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 $286K”.
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 $286K: $188,700–$281,500 (8 sales); $286K–$296K: $285,500–$295,500 (7 sales); $299K–$325K: $299,000–$324,950 (7 sales); Over $325K: $329,500–$345,400 (8 sales) Quartiles by living area: Under 1,355 SF: 1,167–1,346 SF (6 sales); 1,355–1,590 SF: 1,355–1,590 SF (8 sales); 1,685 SF: 1,685–1,685 SF (8 sales); Over 1,685 SF: 1,708–2,116 SF (8 sales) Quartiles by year built: Before 2003: 2002–2002 (6 sales); 2003: 2003–2003 (11 sales); 2004: 2004–2004 (7 sales); After 2004: 2005–2005 (6 sales) View and no view: View: MLS lists a view (8 sales); No view: None or Neighborhood (22 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 $298,260, median $297,250. Days on market: average 64, median 34: 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 = 1.12
3
0.7723
p < 0.0063
Unclear
ε² = 0.039
small
Living area
Kruskal–Wallis
H = 11.69
3
0.0085
p < 0.0063
Unclear
ε² = 0.403
large
Year built
Kruskal–Wallis
H = 2.56
3
0.4649
p < 0.0063
Unclear
ε² = 0.088
medium
Days on market
Kruskal–Wallis
H = 12.52
3
0.0058
p < 0.0063
Yes
ε² = 0.432
large
Discount from original list
Kruskal–Wallis
H = 14.70
3
0.0021
p < 0.0063
Yes
ε² = 0.507
large
Price cut before sale
Chi-square
χ² = 9.29
3
0.0257
p < 0.0063
Unclear
Cramér’s V = 0.556
large
Seller paid closing costs or repairs
Chi-square
χ² = 6.67
3
0.0830
p < 0.0063
Unclear
Cramér’s V = 0.472
medium
Has a view
Chi-square
χ² = 3.34
3
0.3427
p < 0.0063
Unclear
Cramér’s V = 0.333
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 = 10.21
3
0.0169
p < 0.0063
Unclear
ε² = 0.352
large
Net price per SF
Kruskal–Wallis
H = 18.73
3
0.0003
p < 0.0063
Yes
ε² = 0.646
large
Year built
Kruskal–Wallis
H = 0.27
3
0.9654
p < 0.0063
Unclear
ε² = 0.009
negligible
Days on market
Kruskal–Wallis
H = 4.32
3
0.2285
p < 0.0063
Unclear
ε² = 0.149
large
Discount from original list
Kruskal–Wallis
H = 1.87
3
0.6007
p < 0.0063
Unclear
ε² = 0.064
medium
Price cut before sale
Chi-square
χ² = 3.67
3
0.2998
p < 0.0063
Unclear
Cramér’s V = 0.350
medium
Seller paid closing costs or repairs
Chi-square
χ² = 4.48
3
0.2142
p < 0.0063
Unclear
Cramér’s V = 0.386
medium
Has a view
Chi-square
χ² = 2.51
3
0.4727
p < 0.0063
Unclear
Cramér’s V = 0.289
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 = 1.72
3
0.6325
p < 0.0063
Unclear
ε² = 0.059
small
Net price per SF
Kruskal–Wallis
H = 2.99
3
0.3935
p < 0.0063
Unclear
ε² = 0.103
medium
Living area
Kruskal–Wallis
H = 0.25
3
0.9691
p < 0.0063
Unclear
ε² = 0.009
negligible
Days on market
Kruskal–Wallis
H = 1.24
3
0.7444
p < 0.0063
Unclear
ε² = 0.043
small
Discount from original list
Kruskal–Wallis
H = 4.11
3
0.2496
p < 0.0063
Unclear
ε² = 0.142
large
Price cut before sale
Chi-square
χ² = 1.57
3
0.6669
p < 0.0063
Unclear
Cramér’s V = 0.229
small
Seller paid closing costs or repairs
Chi-square
χ² = 2.23
3
0.5267
p < 0.0063
Unclear
Cramér’s V = 0.272
small
Has a view
Chi-square
χ² = 3.87
3
0.2762
p < 0.0063
Unclear
Cramér’s V = 0.359
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 = 66.00
—
0.3202
p < 0.0063
Unclear
rank-biserial r = 0.250
small
Net price per SF
Mann–Whitney U
U = 117.00
—
0.1852
p < 0.0063
Unclear
rank-biserial r = 0.330
medium
Living area
Mann–Whitney U
U = 57.00
—
0.1480
p < 0.0063
Unclear
rank-biserial r = 0.352
medium
Year built
Mann–Whitney U
U = 52.50
—
0.0875
p < 0.0063
Unclear
rank-biserial r = 0.403
medium
Days on market
Mann–Whitney U
U = 127.50
—
0.0672
p < 0.0063
Unclear
rank-biserial r = 0.449
medium
Discount from original list
Mann–Whitney U
U = 92.00
—
0.8723
p < 0.0063
Unclear
rank-biserial r = 0.045
negligible
Price cut before sale
Chi-square
χ² = 0.00
1
1.0000
p < 0.0063
Unclear
Cramér’s V = 0.000
negligible
Seller paid closing costs or repairs
Chi-square
χ² = 2.73
1
0.0986
p < 0.0063
Unclear
Cramér’s V = 0.302
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.