MARKET STUDY All analysis covers resale homes only. New construction appears once, in its own section. Click any dot on the map for that sale.
Resale sales, 365 days
32
single-family resale homes
Median net sale price
$484,000
average $502,308
Median net price per SF
$193
average $191
Median days on market
103 days
average 125 days
1. SummaryResale homes · 32 sales · November 6, 2025 – November 5, 2026
This study looks at the 32 resale homes sold in 6 Creeks 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 sold32 resale homes · colored by price range
Each dot is one resale home, colored by its price range. Use the buttons to show one price range at a time. Click a dot for that sale: address, close date, original and last list price, net sale price, living area, net sale per SF and days on market. Scroll or pinch to zoom.
3. Quartiles by net sale priceResale homes · 32 sales · 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
Homes over $565K are about 1,100 SF (51%) larger than homes under $418K.
3.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under $418K$418K–$483K$485K–$565KOver $565K
Higher-priced homes Over $565K
Are much larger.
Lower-priced homes Under $418K
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 $418K
$418K–$483K
$485K–$565K
Over $565K
Real difference?
Net price per SF
$182 per SF
$193 per SF
$186 per SF
$199 per SF
unclear
Living area
2,135 SFSmallest
2,310 SF
2,862 SF
3,231 SFLargest
✓ large
Year built
2021
2022
2024
2022
unclear
Days on market
134 days
97 days
103 days
96 days
unclear
Discount from original list
10.5%
8.0%
7.2%
7.1%
unclear
Price cut before sale
75%
100%
86%
56%
unclear
Seller paid closing costs or repairs
62%
38%
57%
78%
unclear
Has a view
50%
12%
29%
22%
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 $199 per SF for homes over $565K and $182 per SF for homes under $418K. It does not move in a straight line; homes over $565K are highest. Defined in 8.1.2.
– No clear difference · could be chance
3.4 Homes over $565K are about 1,100 SF (51%) larger than homes under $418K
The average is 3,231 SF for homes over $565K and 2,135 SF for homes under $418K. 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 2022 for homes over $565K and 2021 for homes under $418K. It does not move in a straight line; homes $485K–$565K are highest. Defined in 8.1.4.
– No clear difference · could be chance
3.6 Days on market: no clear difference
The median is 96 days for homes over $565K and 134 days for homes under $418K. It does not move in a straight line; homes under $418K 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 7.1% for homes over $565K and 10.5% for homes under $418K. It falls step by step from the lowest range to the 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.
56% of homes over $565K had a price cut before sale, against 75% of homes under $418K. Defined in 8.1.7.
78% of homes over $565K had the seller pay closing costs or repairs, against 62% of homes under $418K. Defined in 8.1.8.
22% of homes over $565K have a view, against 50% of homes under $418K. 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 $418K8 sales
$418K–$483K8 sales
$485K–$565K7 sales
Over $565K9 sales
All32 sales
Real difference?
Net sale price average
$384,706
$443,906
$525,814
$640,474
$502,308
by design
Net price per SF average
$182
$193
$186
$199
$191
unclear
Living area average
2,135
2,310
2,862
3,231
2,646
✓ large
Year built median
2021
2022
2024
2022
2022
unclear
3.10 The numbers: selling
Under $418K8 sales
$418K–$483K8 sales
$485K–$565K7 sales
Over $565K9 sales
All32 sales
Real difference?
Days on market median
134
97
103
96
103
unclear
Discount from original list average
10.5%
8.0%
7.2%
7.1%
8.2%
unclear
Price cut before sale
75%
100%
86%
56%
78%
unclear
Seller paid closing costs or repairs
62%
38%
57%
78%
59%
unclear
Has a view
50%
12%
29%
22%
28%
unclear
Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.1.
4. Quartiles by living areaResale homes · 32 sales · 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 3,060 SF sell for about $231K (57%) more than homes under 2,320 SF.
4.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under 2,320 SF2,320–2,493 SF2,545–3,060 SFOver 3,060 SF
Larger homes Over 3,060 SF
Sell for much more.
Smaller homes Under 2,320 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 2,320 SF
2,320–2,493 SF
2,545–3,060 SF
Over 3,060 SF
Real difference?
Net sale price
$403KLowest
$442K
$529K
$635KHighest
✓ large
Net price per SF
$201 per SF
$184 per SF
$190 per SF
$188 per SF
unclear
Year built
2023
2021
2022
2022
unclear
Days on market
136 days
102 days
118 days
98 days
unclear
Discount from original list
8.8%
7.9%
8.6%
7.6%
unclear
Price cut before sale
88%
75%
75%
75%
unclear
Seller paid closing costs or repairs
25%
75%
75%
62%
unclear
Has a view
50%
25%
12%
25%
unclear
4.3 Homes over 3,060 SF sell for about $231K (57%) more than homes under 2,320 SF
The average is $635K for homes over 3,060 SF and $403K for homes under 2,320 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 $188 per SF for homes over 3,060 SF and $201 per SF for homes under 2,320 SF. It does not move in a straight line; homes under 2,320 SF are highest. Defined in 8.1.2.
– No clear difference · could be chance
4.5 Year built: no clear difference
The median is 2022 for homes over 3,060 SF and 2023 for homes under 2,320 SF. It does not move in a straight line; homes under 2,320 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 98 days for homes over 3,060 SF and 136 days for homes under 2,320 SF. It does not move in a straight line; homes under 2,320 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 7.6% for homes over 3,060 SF and 8.8% for homes under 2,320 SF. It does not move in a straight line; homes under 2,320 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.
75% of homes over 3,060 SF had a price cut before sale, against 88% of homes under 2,320 SF. Defined in 8.1.7.
62% of homes over 3,060 SF had the seller pay closing costs or repairs, against 25% of homes under 2,320 SF. Defined in 8.1.8.
25% of homes over 3,060 SF have a view, against 50% of homes under 2,320 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 2,320 SF8 sales
2,320–2,493 SF8 sales
2,545–3,060 SF8 sales
Over 3,060 SF8 sales
All32 sales
Real difference?
Net sale price average
$403,388
$442,106
$529,052
$634,688
$502,308
✓ large
Net price per SF average
$201
$184
$190
$188
$191
unclear
Living area average
2,010
2,405
2,778
3,391
2,646
by design
Year built median
2023
2021
2022
2022
2022
unclear
4.10 The numbers: selling
Under 2,320 SF8 sales
2,320–2,493 SF8 sales
2,545–3,060 SF8 sales
Over 3,060 SF8 sales
All32 sales
Real difference?
Days on market median
136
102
118
98
103
unclear
Discount from original list average
8.8%
7.9%
8.6%
7.6%
8.2%
unclear
Price cut before sale
88%
75%
75%
75%
78%
unclear
Seller paid closing costs or repairs
25%
75%
75%
62%
59%
unclear
Has a view
50%
25%
12%
25%
28%
unclear
Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.2.
5. Quartiles by year builtResale homes · 32 sales · 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: 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 2021
2021
2022–2023
After 2023
Real difference?
Net sale price
$490K
$489K
$546K
$478K
unclear
Net price per SF
$186 per SF
$196 per SF
$186 per SF
$193 per SF
unclear
Living area
2,596 SF
2,494 SF
2,936 SF
2,529 SF
unclear
Days on market
105 days
99 days
132 days
105 days
unclear
Discount from original list
7.8%
5.4%
10.7%
9.1%
unclear
Price cut before sale
83%
56%
78%
100%
unclear
Seller paid closing costs or repairs
67%
56%
78%
38%
unclear
Has a view
17%
33%
22%
38%
unclear
5.3 Net sale price: no clear difference
The average is $478K for homes built after 2023 and $490K for homes built before 2021. It does not move in a straight line; homes built 2022–2023 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 $193 per SF for homes built after 2023 and $186 per SF for homes built before 2021. It does not move in a straight line; homes built 2021 are highest. Defined in 8.1.2.
– No clear difference · could be chance
5.5 Living area: no clear difference
The average is 2,529 SF for homes built after 2023 and 2,596 SF for homes built before 2021. It does not move in a straight line; homes built 2022–2023 are highest. Defined in 8.1.3.
– No clear difference · could be chance
5.6 Days on market: no clear difference
The median is 105 days for homes built after 2023 and 105 days for homes built before 2021. It does not move in a straight line; homes built 2022–2023 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 9.1% for homes built after 2023 and 7.8% for homes built before 2021. It does not move in a straight line; homes built 2022–2023 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.
100% of homes built after 2023 had a price cut before sale, against 83% of homes built before 2021. Defined in 8.1.7.
38% of homes built after 2023 had the seller pay closing costs or repairs, against 67% of homes built before 2021. Defined in 8.1.8.
38% of homes built after 2023 have a view, against 17% of homes built before 2021. 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 20216 sales
20219 sales
2022–20239 sales
After 20238 sales
All32 sales
Real difference?
Net sale price average
$489,501
$488,917
$545,923
$477,912
$502,308
unclear
Net price per SF average
$186
$196
$186
$193
$191
unclear
Living area average
2,596
2,494
2,936
2,529
2,646
unclear
Year built median
2020
2021
2022
2024
2022
by design
5.10 The numbers: selling
Before 20216 sales
20219 sales
2022–20239 sales
After 20238 sales
All32 sales
Real difference?
Days on market median
105
99
132
105
103
unclear
Discount from original list average
7.8%
5.4%
10.7%
9.1%
8.2%
unclear
Price cut before sale
83%
56%
78%
100%
78%
unclear
Seller paid closing costs or repairs
67%
56%
78%
38%
59%
unclear
Has a view
17%
33%
22%
38%
28%
unclear
Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.3.
6. View and no viewResale homes · 32 sales · 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. 2 sales whose MLS view entry is only “See Remarks” are left out.
Bottom line: no measure differs enough between the groups to rule out chance.
6.1 Key differences
The top group against the bottom group: no measure differs enough to rule out chance.
6.2 At a glance
Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.
View
No view
Real difference?
Net sale price
$497K
$512K
unclear
Net price per SF
$198 per SF
$188 per SF
unclear
Living area
2,536 SF
2,724 SF
unclear
Year built
2022
2022
unclear
Days on market
103 days
103 days
unclear
Discount from original list
7.0%
8.5%
unclear
Price cut before sale
56%
86%
unclear
Seller paid closing costs or repairs
56%
57%
unclear
6.3 Net sale price: no clear difference
The average is $497K for homes with a view and $512K 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 $198 per SF for homes with a view and $188 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 2,536 SF for homes with a view and 2,724 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 2022 for homes with a view and 2022 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 103 days for homes with a view and 103 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 7.0% for homes with a view and 8.5% 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.
56% of homes with a view had a price cut before sale, against 86% of homes without a view. Defined in 8.1.7.
56% of homes with a view had the seller pay closing costs or repairs, against 57% 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
View9 sales
No view21 sales
All30 sales
Real difference?
Net sale price average
$496,890
$512,231
$507,629
unclear
Net price per SF average
$198
$188
$191
unclear
Living area average
2,536
2,724
2,668
unclear
Year built median
2022
2022
2022
unclear
6.11 The numbers: selling
View9 sales
No view21 sales
All30 sales
Real difference?
Days on market median
103
103
103
unclear
Discount from original list average
7.0%
8.5%
8.0%
unclear
Price cut before sale
56%
86%
77%
unclear
Seller paid closing costs or repairs
56%
57%
57%
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 · 107 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: 107 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 6 Creeks.
Measure
Average
Median
Sales
107
Net sale price
$515,932
$485,000
Net price per SF
$195
$195
Living area (SF)
2,654
2,662
Days on market
197
172
Discount from original list
14.2%
14.7%
Price cut before sale
88% of sales
Seller paid closing costs or repairs
81% of sales
Year built
2020–2026
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
32 resale sales. Average $502,308; median $484,000; standard deviation $106,879; middle half (25th–75th percentile) $414,762–$569,430; lowest $360,000, highest $740,000. 19 sales had a seller payment; their median payment was $6,000.
8.1.2 Net price per SF
In simple terms
Net sale price divided by the heated and cooled square feet. It puts homes of different sizes on the same footing: did buyers pay more for each square foot, not just for more square feet?
Statistically
psf = Net ÷ LivingArea, per sale; summarized by the mean of the per-sale ratios.
The data
32 resale sales. Average $191; median $193; standard deviation $19; middle half (25th–75th percentile) $179–$203; lowest $151, highest $222.
8.1.3 Living area
In simple terms
The heated and cooled space, as listed in the MLS. Garages and porches are not counted.
Statistically
RESO LivingArea, in square feet. Sales under 400 SF are treated as entry errors and left out.
The data
32 resale sales. Average 2,646; median 2,519; standard deviation 549; middle half (25th–75th percentile) 2,316–3,081; lowest 1,792, highest 4,074.
8.1.4 Year built
In simple terms
The year the home was finished, as listed in the MLS. It shows whether a group leans to older or newer phases of the community.
Statistically
RESO YearBuilt; summarized by the median, with the 25th–75th percentile (middle half) on the charts.
The data
32 resale sales. Average 2022; median 2022; standard deviation 2; middle half (25th–75th percentile) 2021–2023; lowest 2019, highest 2026.
8.1.5 Days on market
In simple terms
How many days the home was on the market before the buyer's offer was accepted, counting any earlier listing periods (relists). This is the days on market agents and clients quote.
Statistically
CDOM = max(CumulativeDaysOnMarket, DaysOnMarket, PurchaseContractDate − ListingContractDate). The MLS counter can freeze at a price change, so the contract-date gap is a floor. Summarized by the median, because a few homes that sat for months pull an average up.
The data
32 resale sales. Average 125; median 103; standard deviation 85; middle half (25th–75th percentile) 69–168; lowest 14, highest 404. 0 sales went under contract on their listing date (0 days).
8.1.6 Discount from original list
In simple terms
How far below the first asking price the home sold, after seller payments. It measures how much negotiating room sellers gave up. A negative figure means the home sold above its first asking price.
Statistically
Discount % = (OriginalListPrice − Net) ÷ OriginalListPrice × 100, per sale; summarized by the mean.
The data
32 resale sales. Average 8.2%; median 8.3%; standard deviation 4.7%; middle half (25th–75th percentile) 4.8%–11.3%; lowest 0.6%, highest 18.8%. 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
25 of 32 resale sales (78.1%).
8.1.8 Seller paid closing costs or repairs
In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
19 of 32 resale sales (59.4%).
8.1.9 Has a view
In simple terms
The MLS says the home looks over something: a greenbelt or park, trees, golf course, hill country, water and similar.
Statistically
View = the View field holds any entry other than “None”, “Neighborhood” or “See Remarks”. No view = only “None” and/or “Neighborhood”. A record whose only entry is “See Remarks” cannot be classified and is left out of the view slice.
The data
9 sales with a view, 21 without, 2 unclassified. Most common View entries: None 14, Neighborhood 12, Park/Greenbelt 6, Trees/Woods 4, See Remarks 2, Pool 2, Hill Country 1, Panoramic 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 12:45 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Kyle, SubdivisionName contains any of “6 creeks” (case-insensitive). A record is kept when its subdivision name belongs to the 6 Creeks family, the same rule comparable sales use.
The data
Pulled November 6, 2026: 139 closed 6 Creeks records over the prior year, in ZIP 78640. 15 subdivision spellings kept, the most common: 6 Creeks (87); 6 CREEKS (17); 6 Creeks Ph 1 Sec 2 (6); 6 Creeks Ph 1 Sec 3 (5); 6 Creeks Sec 10 (4); 6 Creeks Ph 1 Sec 1 (3); 6 Creeks Ph 1 Sec 9 (3); 6 Creeks Ph 1 Sec 8B (3); 6 Creeks Ph 1 Sec 8A (3); 6 Creeks Ph 1 Sec 4A (2); 6 Creeks Ph 1 Sec 4B (2); 6 Creeks Ph 1 Sec 13B (1); and 3 more (3 records). Names found by the search but not part of 6 Creeks, left out: 6 Creeks at Waterridge (10); 6 Creeks at Waterridge 45s (3); 6 Creeks at Waterridge 60s (3); 6 Creeks at Waterridge: 60ft. lots (2); 6 Creeks at Waterridge: 55ft. lots (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 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
139 single-family sales in the window: 32 resale, 107 new construction.
8.2.3 Resale and new construction
In simple terms
A resale home was previously owned. New construction is sold by the builder and behaves differently, so it is kept out of every analysis and reported once on its own.
Statistically
New construction = NewConstructionYN true, or PropertyCondition contains “New Construction” or “Under Construction”. Everything else is resale.
The data
32 resale; 107 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 $418K”.
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 $418K: $360,000–$406,550 (8 sales); $418K–$483K: $417,500–$483,000 (8 sales); $485K–$565K: $485,000–$565,000 (7 sales); Over $565K: $569,430–$740,000 (9 sales) Quartiles by living area: Under 2,320 SF: 1,792–2,303 SF (8 sales); 2,320–2,493 SF: 2,320–2,493 SF (8 sales); 2,545–3,060 SF: 2,545–3,060 SF (8 sales); Over 3,060 SF: 3,144–4,074 SF (8 sales) Quartiles by year built: Before 2021: 2019–2020 (6 sales); 2021: 2021–2021 (9 sales); 2022–2023: 2022–2023 (9 sales); After 2023: 2024–2026 (8 sales) View and no view: View: MLS lists a view (9 sales); No view: None or Neighborhood (21 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 $502,308, median $484,000. Days on market: average 125, median 103: 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 = 3.87
3
0.2757
p < 0.0063
Unclear
ε² = 0.125
medium
Living area
Kruskal–Wallis
H = 22.93
3
< 0.0001
p < 0.0063
Yes
ε² = 0.740
large
Year built
Kruskal–Wallis
H = 4.49
3
0.2133
p < 0.0063
Unclear
ε² = 0.145
large
Days on market
Kruskal–Wallis
H = 3.13
3
0.3715
p < 0.0063
Unclear
ε² = 0.101
medium
Discount from original list
Kruskal–Wallis
H = 2.60
3
0.4576
p < 0.0063
Unclear
ε² = 0.084
medium
Price cut before sale
Chi-square
χ² = 5.20
3
0.1574
p < 0.0063
Unclear
Cramér’s V = 0.403
medium
Seller paid closing costs or repairs
Chi-square
χ² = 2.90
3
0.4077
p < 0.0063
Unclear
Cramér’s V = 0.301
medium
Has a view
Chi-square
χ² = 3.02
3
0.3892
p < 0.0063
Unclear
Cramér’s V = 0.307
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 = 22.34
3
< 0.0001
p < 0.0063
Yes
ε² = 0.721
large
Net price per SF
Kruskal–Wallis
H = 3.78
3
0.2860
p < 0.0063
Unclear
ε² = 0.122
medium
Year built
Kruskal–Wallis
H = 5.85
3
0.1189
p < 0.0063
Unclear
ε² = 0.189
large
Days on market
Kruskal–Wallis
H = 1.33
3
0.7212
p < 0.0063
Unclear
ε² = 0.043
small
Discount from original list
Kruskal–Wallis
H = 1.03
3
0.7930
p < 0.0063
Unclear
ε² = 0.033
small
Price cut before sale
Chi-square
χ² = 0.55
3
0.9081
p < 0.0063
Unclear
Cramér’s V = 0.131
small
Seller paid closing costs or repairs
Chi-square
χ² = 5.57
3
0.1345
p < 0.0063
Unclear
Cramér’s V = 0.417
medium
Has a view
Chi-square
χ² = 2.94
3
0.4014
p < 0.0063
Unclear
Cramér’s V = 0.303
medium
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 = 2.33
3
0.5070
p < 0.0063
Unclear
ε² = 0.075
medium
Net price per SF
Kruskal–Wallis
H = 1.37
3
0.7134
p < 0.0063
Unclear
ε² = 0.044
small
Living area
Kruskal–Wallis
H = 3.49
3
0.3223
p < 0.0063
Unclear
ε² = 0.113
medium
Days on market
Kruskal–Wallis
H = 2.20
3
0.5325
p < 0.0063
Unclear
ε² = 0.071
medium
Discount from original list
Kruskal–Wallis
H = 6.60
3
0.0860
p < 0.0063
Unclear
ε² = 0.213
large
Price cut before sale
Chi-square
χ² = 5.02
3
0.1705
p < 0.0063
Unclear
Cramér’s V = 0.396
medium
Seller paid closing costs or repairs
Chi-square
χ² = 3.04
3
0.3859
p < 0.0063
Unclear
Cramér’s V = 0.308
medium
Has a view
Chi-square
χ² = 1.01
3
0.7980
p < 0.0063
Unclear
Cramér’s V = 0.178
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 = 77.00
—
0.4416
p < 0.0063
Unclear
rank-biserial r = 0.185
small
Net price per SF
Mann–Whitney U
U = 121.00
—
0.2393
p < 0.0063
Unclear
rank-biserial r = 0.280
small
Living area
Mann–Whitney U
U = 64.50
—
0.1817
p < 0.0063
Unclear
rank-biserial r = 0.317
medium
Year built
Mann–Whitney U
U = 100.00
—
0.8180
p < 0.0063
Unclear
rank-biserial r = 0.058
negligible
Days on market
Mann–Whitney U
U = 87.50
—
0.7686
p < 0.0063
Unclear
rank-biserial r = 0.074
negligible
Discount from original list
Mann–Whitney U
U = 76.00
—
0.4152
p < 0.0063
Unclear
rank-biserial r = 0.196
small
Price cut before sale
Chi-square
χ² = 3.20
1
0.0735
p < 0.0063
Unclear
Cramér’s V = 0.327
medium
Seller paid closing costs or repairs
Chi-square
χ² = 0.01
1
0.9359
p < 0.0063
Unclear
Cramér’s V = 0.015
negligible
8.4 Data notes
Left out of the analysis: 107 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.