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
70
single-family resale homes
Median net sale price
$440,750
average $462,178
Median net price per SF
$240
average $241
Median days on market
57 days
average 93 days
1. SummaryResale homes · 70 sales · October 26, 2025 – October 25, 2026
This study looks at the 70 resale homes sold in Woodcreek Sec 19 in the 365 days to October 25, 2026. A full year is used because only 35 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 sold70 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 · 70 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 $512K are about 1,080 SF (78%) larger than homes under $386K.
3.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under $386K$386K–$439K$442K–$512KOver $512K
Higher-priced homes Over $512K
Are much larger.
Lower-priced homes Under $386K
Are much smaller.
3.2 At a glance
Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.
Under $386K
$386K–$439K
$442K–$512K
Over $512K
Real difference?
Net price per SF
$243 per SF
$222 per SF
$241 per SF
$257 per SF
unclear
Living area
1,389 SFSmallest
1,948 SF
1,973 SF
2,471 SFLargest
✓ large
Year built
2014
2002
2016
2002
unclear
Days on market
70 days
43 days
67 days
58 days
unclear
Discount from original list
8.6%
8.9%
7.1%
6.1%
unclear
Price cut before sale
44%
47%
47%
39%
unclear
Seller paid closing costs or repairs
72%
53%
82%
50%
unclear
Has a view
78%
82%
65%
89%
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 $257 per SF for homes over $512K and $243 per SF for homes under $386K. It does not move in a straight line; homes over $512K are highest. Defined in 8.1.2.
– No clear difference · could be chance
3.4 Homes over $512K are about 1,080 SF (78%) larger than homes under $386K
The average is 2,471 SF for homes over $512K and 1,389 SF for homes under $386K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.
✓ Real difference · large
3.5 Year built: no clear difference
The median is 2002 for homes over $512K and 2014 for homes under $386K. It does not move in a straight line; homes $442K–$512K are highest. Defined in 8.1.4.
– No clear difference · could be chance
3.6 Days on market: no clear difference
The median is 58 days for homes over $512K and 70 days for homes under $386K. It does not move in a straight line; homes under $386K 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 6.1% for homes over $512K and 8.6% for homes under $386K. It does not move in a straight line; homes $386K–$439K 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.
39% of homes over $512K had a price cut before sale, against 44% of homes under $386K. Defined in 8.1.7.
50% of homes over $512K had the seller pay closing costs or repairs, against 72% of homes under $386K. Defined in 8.1.8.
89% of homes over $512K have a view, against 78% of homes under $386K. 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 $386K18 sales
$386K–$439K17 sales
$442K–$512K17 sales
Over $512K18 sales
All70 sales
Real difference?
Net sale price average
$332,067
$411,344
$469,892
$633,015
$462,178
by design
Net price per SF average
$243
$222
$241
$257
$241
unclear
Living area average
1,389
1,948
1,973
2,471
1,945
✓ large
Year built median
2014
2002
2016
2002
2006
unclear
3.10 The numbers: selling
Under $386K18 sales
$386K–$439K17 sales
$442K–$512K17 sales
Over $512K18 sales
All70 sales
Real difference?
Days on market median
70
43
67
58
57
unclear
Discount from original list average
8.6%
8.9%
7.1%
6.1%
7.7%
unclear
Price cut before sale
44%
47%
47%
39%
44%
unclear
Seller paid closing costs or repairs
72%
53%
82%
50%
64%
unclear
Has a view
78%
82%
65%
89%
79%
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 · 70 sales · October 26, 2025 – October 25, 2026
Sales ranked by living area and cut into four equal groups, from the smallest homes to the largest.
Bottom line
Homes over 2,181 SF sell for about $246K (72%) more than homes under 1,558 SF.
4.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under 1,558 SF1,558–1,850 SF1,864–2,181 SFOver 2,181 SF
Larger homes Over 2,181 SF
Sell for much more.
Smaller homes Under 1,558 SF
Sell for much less.
4.2 At a glance
Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.
Under 1,558 SF
1,558–1,850 SF
1,864–2,181 SF
Over 2,181 SF
Real difference?
Net sale price
$341KLowest
$420K
$500K
$587KHighest
✓ large
Net price per SF
$254 per SF
$243 per SF
$246 per SF
$221 per SF
unclear
Year built
2014
2002
2015
1998
unclear
Days on market
66 days
31 days
45 days
122 days
unclear
Discount from original list
7.4%
6.3%
6.7%
10.1%
unclear
Price cut before sale
44%
41%
41%
50%
unclear
Seller paid closing costs or repairs
67%
65%
59%
67%
unclear
Has a view
72%
82%
76%
83%
unclear
4.3 Homes over 2,181 SF sell for about $246K (72%) more than homes under 1,558 SF
The average is $587K for homes over 2,181 SF and $341K for homes under 1,558 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.
✓ Real difference · large
4.4 Net price per SF: no clear difference
The average is $221 per SF for homes over 2,181 SF and $254 per SF for homes under 1,558 SF. It does not move in a straight line; homes under 1,558 SF are highest. Defined in 8.1.2.
– No clear difference · could be chance
4.5 Year built: no clear difference
The median is 1998 for homes over 2,181 SF and 2014 for homes under 1,558 SF. It does not move in a straight line; homes 1,864–2,181 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 122 days for homes over 2,181 SF and 66 days for homes under 1,558 SF. It does not move in a straight line; homes over 2,181 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 10.1% for homes over 2,181 SF and 7.4% for homes under 1,558 SF. It does not move in a straight line; homes over 2,181 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.
50% of homes over 2,181 SF had a price cut before sale, against 44% of homes under 1,558 SF. Defined in 8.1.7.
67% of homes over 2,181 SF had the seller pay closing costs or repairs, against 67% of homes under 1,558 SF. Defined in 8.1.8.
83% of homes over 2,181 SF have a view, against 72% of homes under 1,558 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 1,558 SF18 sales
1,558–1,850 SF17 sales
1,864–2,181 SF17 sales
Over 2,181 SF18 sales
All70 sales
Real difference?
Net sale price average
$341,192
$419,662
$500,399
$587,223
$462,178
✓ large
Net price per SF average
$254
$243
$246
$221
$241
unclear
Living area average
1,352
1,727
2,033
2,660
1,945
by design
Year built median
2014
2002
2015
1998
2006
unclear
4.10 The numbers: selling
Under 1,558 SF18 sales
1,558–1,850 SF17 sales
1,864–2,181 SF17 sales
Over 2,181 SF18 sales
All70 sales
Real difference?
Days on market median
66
31
45
122
57
unclear
Discount from original list average
7.4%
6.3%
6.7%
10.1%
7.7%
unclear
Price cut before sale
44%
41%
41%
50%
44%
unclear
Seller paid closing costs or repairs
67%
65%
59%
67%
64%
unclear
Has a view
72%
82%
76%
83%
79%
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 · 70 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 2000
2000–2006
2007–2016
After 2016
Real difference?
Net sale price
$474K
$491K
$467K
$421K
unclear
Net price per SF
$224 per SF
$242 per SF
$245 per SF
$252 per SF
unclear
Living area
2,171 SF
2,013 SF
1,907 SF
1,700 SF
unclear
Days on market
125 days
43 days
28 days
69 days
unclear
Discount from original list
11.7%
7.5%
5.0%
6.2%
unclear
Price cut before sale
67%
41%
25%
42%
unclear
Seller paid closing costs or repairs
72%
53%
75%
58%
unclear
Has a view
89%
76%
69%
79%
unclear
5.3 Net sale price: no clear difference
The average is $421K for homes built after 2016 and $474K for homes built before 2000. It does not move in a straight line; homes built 2000–2006 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 $252 per SF for homes built after 2016 and $224 per SF for homes built before 2000. It rises step by step from the lowest range to the highest. Defined in 8.1.2.
– No clear difference · could be chance
5.5 Living area: no clear difference
The average is 1,700 SF for homes built after 2016 and 2,171 SF for homes built before 2000. It falls step by step from the lowest range to the highest. Defined in 8.1.3.
– No clear difference · could be chance
5.6 Days on market: no clear difference
The median is 69 days for homes built after 2016 and 125 days for homes built before 2000. It does not move in a straight line; homes built before 2000 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 6.2% for homes built after 2016 and 11.7% for homes built before 2000. It does not move in a straight line; homes built before 2000 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.
42% of homes built after 2016 had a price cut before sale, against 67% of homes built before 2000. Defined in 8.1.7.
58% of homes built after 2016 had the seller pay closing costs or repairs, against 72% of homes built before 2000. Defined in 8.1.8.
79% of homes built after 2016 have a view, against 89% of homes built before 2000. 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 200018 sales
2000–200617 sales
2007–201616 sales
After 201619 sales
All70 sales
Real difference?
Net sale price average
$473,986
$491,189
$466,764
$421,175
$462,178
unclear
Net price per SF average
$224
$242
$245
$252
$241
unclear
Living area average
2,171
2,013
1,907
1,700
1,945
unclear
Year built median
1990
2002
2014
2020
2006
by design
5.10 The numbers: selling
Before 200018 sales
2000–200617 sales
2007–201616 sales
After 201619 sales
All70 sales
Real difference?
Days on market median
125
43
28
69
57
unclear
Discount from original list average
11.7%
7.5%
5.0%
6.2%
7.7%
unclear
Price cut before sale
67%
41%
25%
42%
44%
unclear
Seller paid closing costs or repairs
72%
53%
75%
58%
64%
unclear
Has a view
89%
76%
69%
79%
79%
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 · 70 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
$468K
$441K
unclear
Net price per SF
$241 per SF
$241 per SF
unclear
Living area
1,969 SF
1,857 SF
unclear
Year built
2006
2014
unclear
Days on market
66 days
45 days
unclear
Discount from original list
7.5%
8.2%
unclear
Price cut before sale
44%
47%
unclear
Seller paid closing costs or repairs
64%
67%
unclear
6.3 Net sale price: no clear difference
The average is $468K for homes with a view and $441K 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 $241 per SF for homes with a view and $241 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 1,969 SF for homes with a view and 1,857 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 2014 for homes without a view. Defined in 8.1.4.
– No clear difference · could be chance
6.7 Days on market: no clear difference
The median is 66 days for homes with a view and 45 days for homes without a view. Defined in 8.1.5.
– No clear difference · could be chance
6.8 Discount from original list: no clear difference
The average is 7.5% for homes with a view and 8.2% for homes without a view. Defined in 8.1.6.
– No clear difference · could be chance
6.9 How often: price cut before sale, seller paid closing costs or repairs
Each bar is the share of homes in the group, in percent.
44% of homes with a view had a price cut before sale, against 47% of homes without a view. Defined in 8.1.7.
64% of homes with a view had the seller pay closing costs or repairs, against 67% 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
View55 sales
No view15 sales
All70 sales
Real difference?
Net sale price average
$467,891
$441,232
$462,178
unclear
Net price per SF average
$241
$241
$241
unclear
Living area average
1,969
1,857
1,945
unclear
Year built median
2006
2014
2006
unclear
6.11 The numbers: selling
View55 sales
No view15 sales
All70 sales
Real difference?
Days on market median
66
45
57
unclear
Discount from original list average
7.5%
8.2%
7.7%
unclear
Price cut before sale
44%
47%
44%
unclear
Seller paid closing costs or repairs
64%
67%
64%
unclear
Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.4.
7. New constructionBasic statistics · 22 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: 22 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 Woodcreek Sec 19.
Measure
Average
Median
Sales
22
Net sale price
$447,994
$442,200
Net price per SF
$239
$240
Living area (SF)
1,883
1,894
Days on market
156
154
Discount from original list
6.9%
6.7%
Price cut before sale
64% of sales
Seller paid closing costs or repairs
50% of sales
Year built
2023–2026
Same definitions as the rest of the study (section 8). New construction = NewConstructionYN true, or PropertyCondition “New Construction” or “Under Construction”.
8. AppendixMeasures, methods and tests
Each measure and method three ways: in plain words, as statistics, and with the data from this study.
8.1 Measures
8.1.1 Net sale price
In simple terms
What the seller actually kept: the closing price, less money the seller gave back to the buyer for closing costs or repairs. It is the truest price for comparing homes.
Statistically
Net = ClosePrice − ACTRIS_BuyersClsgCostPdbySell − ACTRIS_RepairsAmount (a blank counts as $0). Summarized by the arithmetic mean in the slices.
The data
70 resale sales. Average $462,178; median $440,750; standard deviation $141,754; middle half (25th–75th percentile) $384,625–$514,250; lowest $248,946, highest $1,220,000. 45 sales had a seller payment; their median payment was $8,054.
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
70 resale sales. Average $241; median $240; standard deviation $38; middle half (25th–75th percentile) $223–$262; lowest $121, highest $338.
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
70 resale sales. Average 1,945; median 1,857; standard deviation 553; middle half (25th–75th percentile) 1,553–2,195; lowest 1,012, highest 3,607.
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
70 resale sales. Average 2006; median 2006; standard deviation 13; middle half (25th–75th percentile) 1999–2017; lowest 1973, highest 2024.
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
70 resale sales. Average 93; median 57; standard deviation 141; middle half (25th–75th percentile) 22–135; lowest 1, highest 1,100. 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
70 resale sales. Average 7.7%; median 5.9%; standard deviation 7.2%; middle half (25th–75th percentile) 2.8%–9.3%; lowest 0.0%, highest 31.2%. 0 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
31 of 70 resale sales (44.3%).
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
45 of 70 resale sales (64.3%).
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
55 sales with a view, 15 without, 0 unclassified. Most common View entries: Hill Country 32, Trees/Woods 24, Golf Course 16, Neighborhood 14, None 12, Park/Greenbelt 11, Creek/Stream 5, Pond 2.
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 = Wimberley, SubdivisionName contains any of “woodcreek”, “brookmeadow”, “brook meadow” (case-insensitive). A record is kept when its subdivision name belongs to the Woodcreek Sec 19 family, the same rule comparable sales use (it includes Brook Meadow Sec 1, proven adjacent and priced alike).
The data
Pulled October 26, 2026: 94 closed Woodcreek Sec 19 records over the prior year, in ZIP 78676. 30 subdivision spellings kept, the most common: Woodcreek Sec 19 (12); Woodcreek Sec 6-C (9); Woodcreek Sec 9-B (6); Woodcreek Sec 8 (6); Woodcreek Sec 2 (6); Woodcreek Sec 9A (6); Woodcreek Sec 20 (6); Woodcreek (5); Woodcreek Sec 22 (4); Woodcreek Sec 9-A (4); Woodcreek Sec 1 (3); Woodcreek Sec 12 (3); and 18 more (24 records). Names found by the search but not part of Woodcreek Sec 19, left out: Woodcreek North (1); Woodcreekd (1); Deer Field Place At Woodcreek (1); Woodcreek Village Sec 6 (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 35 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
92 single-family sales in the window: 70 resale, 22 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
70 resale; 22 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
2 sale(s) other than single-family homes (condo, townhome and similar)
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 $386K”.
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 $386K: $248,946–$384,000 (18 sales); $386K–$439K: $386,500–$439,000 (17 sales); $442K–$512K: $442,500–$512,000 (17 sales); Over $512K: $515,000–$1,220,000 (18 sales) Quartiles by living area: Under 1,558 SF: 1,012–1,551 SF (18 sales); 1,558–1,850 SF: 1,558–1,850 SF (17 sales); 1,864–2,181 SF: 1,864–2,181 SF (17 sales); Over 2,181 SF: 2,200–3,607 SF (18 sales) Quartiles by year built: Before 2000: 1973–1999 (18 sales); 2000–2006: 2000–2006 (17 sales); 2007–2016: 2007–2016 (16 sales); After 2016: 2017–2024 (19 sales) View and no view: View: MLS lists a view (55 sales); No view: None or Neighborhood (15 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 $462,178, median $440,750. Days on market: average 93, median 57: 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
2 real differences across the four slices; sizes are listed in 8.3.
8.2.12 Rounding in the text
In simple terms
Headings and sentences round figures so they read easily; the tables at the end of each section give them in full.
Statistically
Prices in headings round to the nearest $1K; price per SF and days on market to the nearest whole number; living area to the nearest 10 SF; shares and percentage gaps to whole percents.
The data
Days on market is always shown in days.
8.3 Test results
Every test behind every gold box. Statistic, degrees of freedom (df), p-value, the threshold it must beat, and the size of the difference.
8.3.1 Quartiles by net sale price
Measure
Test
Statistic
df
p-value
Threshold
Real difference?
Effect size
Size
Net price per SF
Kruskal–Wallis
H = 5.33
3
0.1491
p < 0.0063
Unclear
ε² = 0.077
medium
Living area
Kruskal–Wallis
H = 44.93
3
< 0.0001
p < 0.0063
Yes
ε² = 0.651
large
Year built
Kruskal–Wallis
H = 9.53
3
0.0230
p < 0.0063
Unclear
ε² = 0.138
medium
Days on market
Kruskal–Wallis
H = 0.61
3
0.8940
p < 0.0063
Unclear
ε² = 0.009
negligible
Discount from original list
Kruskal–Wallis
H = 2.79
3
0.4250
p < 0.0063
Unclear
ε² = 0.040
small
Price cut before sale
Chi-square
χ² = 0.32
3
0.9565
p < 0.0063
Unclear
Cramér’s V = 0.067
negligible
Seller paid closing costs or repairs
Chi-square
χ² = 5.46
3
0.1408
p < 0.0063
Unclear
Cramér’s V = 0.279
small
Has a view
Chi-square
χ² = 3.23
3
0.3575
p < 0.0063
Unclear
Cramér’s V = 0.215
small
8.3.2 Quartiles by living area
Measure
Test
Statistic
df
p-value
Threshold
Real difference?
Effect size
Size
Net sale price
Kruskal–Wallis
H = 44.95
3
< 0.0001
p < 0.0063
Yes
ε² = 0.651
large
Net price per SF
Kruskal–Wallis
H = 8.06
3
0.0447
p < 0.0063
Unclear
ε² = 0.117
medium
Year built
Kruskal–Wallis
H = 10.75
3
0.0131
p < 0.0063
Unclear
ε² = 0.156
large
Days on market
Kruskal–Wallis
H = 5.75
3
0.1243
p < 0.0063
Unclear
ε² = 0.083
medium
Discount from original list
Kruskal–Wallis
H = 4.61
3
0.2027
p < 0.0063
Unclear
ε² = 0.067
medium
Price cut before sale
Chi-square
χ² = 0.37
3
0.9460
p < 0.0063
Unclear
Cramér’s V = 0.073
negligible
Seller paid closing costs or repairs
Chi-square
χ² = 0.31
3
0.9579
p < 0.0063
Unclear
Cramér’s V = 0.067
negligible
Has a view
Chi-square
χ² = 0.86
3
0.8345
p < 0.0063
Unclear
Cramér’s V = 0.111
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 = 1.81
3
0.6123
p < 0.0063
Unclear
ε² = 0.026
small
Net price per SF
Kruskal–Wallis
H = 3.89
3
0.2733
p < 0.0063
Unclear
ε² = 0.056
small
Living area
Kruskal–Wallis
H = 5.52
3
0.1372
p < 0.0063
Unclear
ε² = 0.080
medium
Days on market
Kruskal–Wallis
H = 8.63
3
0.0346
p < 0.0063
Unclear
ε² = 0.125
medium
Discount from original list
Kruskal–Wallis
H = 6.99
3
0.0722
p < 0.0063
Unclear
ε² = 0.101
medium
Price cut before sale
Chi-square
χ² = 6.17
3
0.1037
p < 0.0063
Unclear
Cramér’s V = 0.297
small
Seller paid closing costs or repairs
Chi-square
χ² = 2.58
3
0.4602
p < 0.0063
Unclear
Cramér’s V = 0.192
small
Has a view
Chi-square
χ² = 2.10
3
0.5517
p < 0.0063
Unclear
Cramér’s V = 0.173
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 = 431.50
—
0.7912
p < 0.0063
Unclear
rank-biserial r = 0.046
negligible
Net price per SF
Mann–Whitney U
U = 415.00
—
0.9772
p < 0.0063
Unclear
rank-biserial r = 0.006
negligible
Living area
Mann–Whitney U
U = 448.00
—
0.6164
p < 0.0063
Unclear
rank-biserial r = 0.086
negligible
Year built
Mann–Whitney U
U = 369.50
—
0.5427
p < 0.0063
Unclear
rank-biserial r = 0.104
small
Days on market
Mann–Whitney U
U = 412.50
—
1.0000
p < 0.0063
Unclear
rank-biserial r = 0.000
negligible
Discount from original list
Mann–Whitney U
U = 390.50
—
0.7583
p < 0.0063
Unclear
rank-biserial r = 0.053
negligible
Price cut before sale
Chi-square
χ² = 0.04
1
0.8341
p < 0.0063
Unclear
Cramér’s V = 0.025
negligible
Seller paid closing costs or repairs
Chi-square
χ² = 0.05
1
0.8281
p < 0.0063
Unclear
Cramér’s V = 0.026
negligible
8.4 Data notes
Left out of the analysis: 22 new-construction sales (basic statistics only, section 7); 2 sale(s) other than single-family homes (condo, townhome and similar). 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.