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
33
single-family resale homes
Median net sale price
$594,000
average $657,190
Median net price per SF
$209
average $209
Median days on market
47 days
average 97 days
1. SummaryResale homes · 33 sales · October 30, 2025 – October 29, 2026
This study looks at the 33 resale homes sold in Berry Creek in the 365 days to October 29, 2026. A full year is used because only 17 resale homes sold in the last 180 days. New construction is left out and shown on its own in section 7. The homes are compared four ways: by price, by living area, by year built and with or without a view. The first three are split into four equal groups (quartiles), each named by its range.
Each comparison has its own section (3–6) with everything about it in one place: the key differences, a table of every measure at a glance, the charts and the numbers.
2. Where the resale homes sold33 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 · 33 sales · October 30, 2025 – October 29, 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 $720K are about 1,850 SF (83%) larger than homes under $487K.
3.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under $487K$487K–$571K$594K–$720KOver $720K
Higher-priced homes Over $720K
Are much larger.
Lower-priced homes Under $487K
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 $487K
$487K–$571K
$594K–$720K
Over $720K
Real difference?
Net price per SF
$196 per SF
$184 per SF
$200 per SF
$255 per SF
unclear
Living area
2,238 SFSmallest
2,898 SF
3,211 SF
4,092 SFLargest
✓ large
Year built
2000
1997
1994
2000
unclear
Days on market
88 days
112 days
47 days
31 days
unclear
Discount from original list
5.4%
9.2%
5.8%
4.7%
unclear
Price cut before sale
50%
38%
56%
12%
unclear
Seller paid closing costs or repairs
50%
75%
78%
62%
unclear
Has a view
50%
38%
44%
88%
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 $255 per SF for homes over $720K and $196 per SF for homes under $487K. It does not move in a straight line; homes over $720K are highest. Defined in 8.1.2.
– No clear difference · could be chance
3.4 Homes over $720K are about 1,850 SF (83%) larger than homes under $487K
The average is 4,092 SF for homes over $720K and 2,238 SF for homes under $487K. 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 2000 for homes over $720K and 2000 for homes under $487K. It does not move in a straight line; homes over $720K are highest. Defined in 8.1.4.
– No clear difference · could be chance
3.6 Days on market: no clear difference
The median is 31 days for homes over $720K and 88 days for homes under $487K. It does not move in a straight line; homes $487K–$571K are highest. Defined in 8.1.5.
– No clear difference · could be chance
3.7 Discount from original list: no clear difference
The average is 4.7% for homes over $720K and 5.4% for homes under $487K. It does not move in a straight line; homes $487K–$571K 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.
12% of homes over $720K had a price cut before sale, against 50% of homes under $487K. Defined in 8.1.7.
62% of homes over $720K had the seller pay closing costs or repairs, against 50% of homes under $487K. Defined in 8.1.8.
88% of homes over $720K have a view, against 50% of homes under $487K. 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 $487K8 sales
$487K–$571K8 sales
$594K–$720K9 sales
Over $720K8 sales
All33 sales
Real difference?
Net sale price average
$417,688
$524,414
$636,267
$1,053,009
$657,190
by design
Net price per SF average
$196
$184
$200
$255
$209
unclear
Living area average
2,238
2,898
3,211
4,092
3,113
✓ large
Year built median
2000
1997
1994
2000
1998
unclear
3.10 The numbers: selling
Under $487K8 sales
$487K–$571K8 sales
$594K–$720K9 sales
Over $720K8 sales
All33 sales
Real difference?
Days on market median
88
112
47
31
47
unclear
Discount from original list average
5.4%
9.2%
5.8%
4.7%
6.2%
unclear
Price cut before sale
50%
38%
56%
12%
39%
unclear
Seller paid closing costs or repairs
50%
75%
78%
62%
67%
unclear
Has a view
50%
38%
44%
88%
55%
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 · 33 sales · October 30, 2025 – October 29, 2026
Sales ranked by living area and cut into four equal groups, from the smallest homes to the largest.
Bottom line
Homes over 3,803 SF sell for about $505K (114%) more than homes under 2,783 SF.
4.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under 2,783 SF2,783–2,987 SF3,023–3,803 SFOver 3,803 SF
Larger homes Over 3,803 SF
Sell for much more.
Smaller homes Under 2,783 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 2,783 SF
2,783–2,987 SF
3,023–3,803 SF
Over 3,803 SF
Real difference?
Net sale price
$441KLowest
$531K
$705K
$946KHighest
✓ large
Net price per SF
$215 per SF
$186 per SF
$210 per SF
$223 per SF
unclear
Year built
1998
1994
1997
2000
unclear
Days on market
51 days
34 days
56 days
32 days
unclear
Discount from original list
5.5%
4.0%
8.6%
6.6%
unclear
Price cut before sale
38%
25%
56%
38%
unclear
Seller paid closing costs or repairs
50%
75%
67%
75%
unclear
Has a view
62%
38%
44%
75%
unclear
4.3 Homes over 3,803 SF sell for about $505K (114%) more than homes under 2,783 SF
The average is $946K for homes over 3,803 SF and $441K for homes under 2,783 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 $223 per SF for homes over 3,803 SF and $215 per SF for homes under 2,783 SF. It does not move in a straight line; homes over 3,803 SF are highest. Defined in 8.1.2.
– No clear difference · could be chance
4.5 Year built: no clear difference
The median is 2000 for homes over 3,803 SF and 1998 for homes under 2,783 SF. It does not move in a straight line; homes over 3,803 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 32 days for homes over 3,803 SF and 51 days for homes under 2,783 SF. It does not move in a straight line; homes 3,023–3,803 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 6.6% for homes over 3,803 SF and 5.5% for homes under 2,783 SF. It does not move in a straight line; homes 3,023–3,803 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 3,803 SF had a price cut before sale, against 38% of homes under 2,783 SF. Defined in 8.1.7.
75% of homes over 3,803 SF had the seller pay closing costs or repairs, against 50% of homes under 2,783 SF. Defined in 8.1.8.
75% of homes over 3,803 SF have a view, against 62% of homes under 2,783 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 2,783 SF8 sales
2,783–2,987 SF8 sales
3,023–3,803 SF9 sales
Over 3,803 SF8 sales
All33 sales
Real difference?
Net sale price average
$441,275
$531,238
$704,522
$945,811
$657,190
✓ large
Net price per SF average
$215
$186
$210
$223
$209
unclear
Living area average
2,065
2,865
3,320
4,176
3,113
by design
Year built median
1998
1994
1997
2000
1998
unclear
4.10 The numbers: selling
Under 2,783 SF8 sales
2,783–2,987 SF8 sales
3,023–3,803 SF9 sales
Over 3,803 SF8 sales
All33 sales
Real difference?
Days on market median
51
34
56
32
47
unclear
Discount from original list average
5.5%
4.0%
8.6%
6.6%
6.2%
unclear
Price cut before sale
38%
25%
56%
38%
39%
unclear
Seller paid closing costs or repairs
50%
75%
67%
75%
67%
unclear
Has a view
62%
38%
44%
75%
55%
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 · 33 sales · October 30, 2025 – October 29, 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 1994
1994–1997
1998–2001
After 2001
Real difference?
Net sale price
$509K
$679K
$731K
$679K
unclear
Net price per SF
$208 per SF
$213 per SF
$207 per SF
$205 per SF
unclear
Living area
2,489 SF
3,110 SF
3,435 SF
3,299 SF
unclear
Days on market
52 days
47 days
33 days
43 days
unclear
Discount from original list
5.6%
7.3%
7.0%
4.8%
unclear
Price cut before sale
43%
44%
44%
25%
unclear
Seller paid closing costs or repairs
71%
67%
78%
50%
unclear
Has a view
43%
67%
56%
50%
unclear
5.3 Net sale price: no clear difference
The average is $679K for homes built after 2001 and $509K for homes built before 1994. It does not move in a straight line; homes built 1998–2001 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 $205 per SF for homes built after 2001 and $208 per SF for homes built before 1994. It does not move in a straight line; homes built 1994–1997 are highest. Defined in 8.1.2.
– No clear difference · could be chance
5.5 Living area: no clear difference
The average is 3,299 SF for homes built after 2001 and 2,489 SF for homes built before 1994. It does not move in a straight line; homes built 1998–2001 are highest. Defined in 8.1.3.
– No clear difference · could be chance
5.6 Days on market: no clear difference
The median is 43 days for homes built after 2001 and 52 days for homes built before 1994. It does not move in a straight line; homes built before 1994 are highest. Defined in 8.1.5.
– No clear difference · could be chance
5.7 Discount from original list: no clear difference
The average is 4.8% for homes built after 2001 and 5.6% for homes built before 1994. It does not move in a straight line; homes built 1994–1997 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.
25% of homes built after 2001 had a price cut before sale, against 43% of homes built before 1994. Defined in 8.1.7.
50% of homes built after 2001 had the seller pay closing costs or repairs, against 71% of homes built before 1994. Defined in 8.1.8.
50% of homes built after 2001 have a view, against 43% of homes built before 1994. 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 19947 sales
1994–19979 sales
1998–20019 sales
After 20018 sales
All33 sales
Real difference?
Net sale price average
$509,171
$679,244
$730,774
$679,114
$657,190
unclear
Net price per SF average
$208
$213
$207
$205
$209
unclear
Living area average
2,489
3,110
3,435
3,299
3,113
unclear
Year built median
1992
1996
2000
2014
1998
by design
5.10 The numbers: selling
Before 19947 sales
1994–19979 sales
1998–20019 sales
After 20018 sales
All33 sales
Real difference?
Days on market median
52
47
33
43
47
unclear
Discount from original list average
5.6%
7.3%
7.0%
4.8%
6.2%
unclear
Price cut before sale
43%
44%
44%
25%
39%
unclear
Seller paid closing costs or repairs
71%
67%
78%
50%
67%
unclear
Has a view
43%
67%
56%
50%
55%
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 · 33 sales · October 30, 2025 – October 29, 2026
Sales where the MLS lists a view (greenbelt or park, trees, golf course, hill country, water and similar) against those listing none or only the neighborhood. 1 sales whose MLS view entry is only “See Remarks” are left out.
Bottom line
Homes with a view sell for about $41 per SF (22%) more than homes without a view.
6.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
ViewNo view
Homes with a view MLS lists a view
Sell for more per square foot.
Homes without a view no view listed
Sell for less per square foot.
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
$743K
$546K
unclear
Net price per SF
$228 per SFHighest
$187 per SFLowest
✓ large
Living area
3,196 SF
2,934 SF
unclear
Year built
1998
1998
unclear
Days on market
32 days
63 days
unclear
Discount from original list
5.3%
7.4%
unclear
Price cut before sale
28%
50%
unclear
Seller paid closing costs or repairs
72%
57%
unclear
6.3 Net sale price: no clear difference
The average is $743K for homes with a view and $546K for homes without a view. Defined in 8.1.1.
– No clear difference · could be chance
6.4 Homes with a view sell for about $41 per SF (22%) more than homes without a view
The average is $228 per SF for homes with a view and $187 per SF for homes without a view. Defined in 8.1.2.
✓ Real difference · large
6.5 Living area: no clear difference
The average is 3,196 SF for homes with a view and 2,934 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 1998 for homes with a view and 1998 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 32 days for homes with a view and 63 days for homes without a view. Defined in 8.1.5.
– No clear difference · could be chance
6.8 Discount from original list: no clear difference
The average is 5.3% for homes with a view and 7.4% 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.
28% of homes with a view had a price cut before sale, against 50% of homes without a view. Defined in 8.1.7.
72% 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
View18 sales
No view14 sales
All32 sales
Real difference?
Net sale price average
$743,227
$545,907
$656,900
unclear
Net price per SF average
$228
$187
$210
✓ large
Living area average
3,196
2,934
3,082
unclear
Year built median
1998
1998
1998
unclear
6.11 The numbers: selling
View18 sales
No view14 sales
All32 sales
Real difference?
Days on market median
32
63
41
unclear
Discount from original list average
5.3%
7.4%
6.2%
unclear
Price cut before sale
28%
50%
38%
unclear
Seller paid closing costs or repairs
72%
57%
66%
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 30, 2025 – October 29, 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 Berry Creek.
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
33 resale sales. Average $657,190; median $594,000; standard deviation $286,420; middle half (25th–75th percentile) $487,000–$720,000; lowest $340,000, highest $1,596,575. 22 sales had a seller payment; their median payment was $5,000.
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
33 resale sales. Average $209; median $209; standard deviation $48; middle half (25th–75th percentile) $179–$220; lowest $139, highest $354.
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
33 resale sales. Average 3,113; median 3,023; standard deviation 811; middle half (25th–75th percentile) 2,783–3,803; lowest 1,578, highest 4,991.
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
33 resale sales. Average 2000; median 1998; standard deviation 8; middle half (25th–75th percentile) 1994–2001; lowest 1986, highest 2016.
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
33 resale sales. Average 97; median 47; standard deviation 116; middle half (25th–75th percentile) 16–172; lowest 0, highest 509. 1 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
33 resale sales. Average 6.2%; median 5.4%; standard deviation 6.1%; middle half (25th–75th percentile) 1.0%–9.4%; lowest −0.2%, highest 25.2%. 1 sales closed above their first asking price.
8.1.7 Price cut before sale
In simple terms
The asking price was lowered at least once before the home went under contract.
Statistically
Indicator: ListPrice at close < OriginalListPrice. Reported as the share of sales (%).
The data
13 of 33 resale sales (39.4%).
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
22 of 33 resale sales (66.7%).
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
18 sales with a view, 14 without, 1 unclassified. Most common View entries: Neighborhood 10, Golf Course 10, None 6, Trees/Woods 6, Pool 4, Pond 2, Pasture 1, See Remarks 1.
8.2 Methods
8.2.1 Data source
In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
Bridge Interactive RESO Web API (OData), ABOR dataset, every field returned. Filter: StandardStatus = Closed, PropertyType = Residential, City = Georgetown, SubdivisionName contains any of “berry creek”, “berry crk”, “berry crk sub”, “berry creek sub” (case-insensitive). A record is kept when its subdivision name belongs to the Berry Creek family, the same rule comparable sales use.
The data
Pulled October 30, 2026: 33 closed Berry Creek records over the prior year, in ZIP 78628. 18 subdivision spellings kept, the most common: Berry Creek (9); Berry Creek Sec 04 (3); Berry Creek Sec 01 (2); BERRY CREEK (2); Berry Creek Sec 09 Ph 03 Rev (2); Berry Creek Sec 03 Resub (2); Berry Creek Sec 11 Ph 02 (2); Berry Crk Sub Ph 2 Sec 5 (1); Berry Creek Sec 09 Ph 02 Rev (1); Berry Creek Sec 02 (1); Berry Creek Sec 08 Ph 01 Resub P ts Blk B K (1); Berry creek (1); and 6 more (6 records). Names found by the search but not part of Berry Creek, left out: Berry Creek Highlands (49); Hidden Oaks At Berry Creek (5); Villages Berry Creek Sec 2A (3); Villages Of Berry Creek Sec 01 (3); Hidden Oaks at Berry Creek (3); Reserve/Berry Crk Sec 4 (2); Reserve at Berry Creek (2); Berry Crk Hlnds Ph 1B (2); Village/Berry Crk Sec 01 (1); Villages of Berry Creek Sec 2A (1); Woods at Berry Creek (1); Woods At Berry Creek Sec 03 (1); Reserve At Berry Creek Ph 02 (1); Villages Of Berry Creek Sec 2A (1); Meadows End At Berry Creek Berry Creek Sec 01 (1); Villages Of Berry Creek Sec 2B (1); Reserve/Berry Crk Ph 02 (1); The Reserve at Berry Creek (1); Woods/Berry Crk Sec 03 (1); Reserve At Berry Creek Sec 01A Ph 01 (1); Woods Berry Creek Ph 01 (1); Villages Berry Creek Sec 2a (1); Woods At Berry Creek Sec 02 (1).
8.2.2 Study window
In simple terms
The most recent 365 days of closed sales: recent enough to describe today's market, long enough to give each group plenty of sales. The usual window is 180 days; it holds only 17 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 30, 2025 to October 29, 2026 inclusive.
The data
33 single-family sales in the window: 33 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
33 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 $487K”.
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 $487K: $340,000–$460,000 (8 sales); $487K–$571K: $487,000–$571,416 (8 sales); $594K–$720K: $594,000–$720,000 (9 sales); Over $720K: $750,000–$1,596,575 (8 sales) Quartiles by living area: Under 2,783 SF: 1,578–2,546 SF (8 sales); 2,783–2,987 SF: 2,783–2,987 SF (8 sales); 3,023–3,803 SF: 3,023–3,803 SF (9 sales); Over 3,803 SF: 3,885–4,991 SF (8 sales) Quartiles by year built: Before 1994: 1986–1993 (7 sales); 1994–1997: 1994–1997 (9 sales); 1998–2001: 1998–2001 (9 sales); After 2001: 2003–2016 (8 sales) View and no view: View: MLS lists a view (18 sales); No view: None or Neighborhood (14 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 $657,190, median $594,000. Days on market: average 97, median 47: 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 = 7.06
3
0.0699
p < 0.0063
Unclear
ε² = 0.221
large
Living area
Kruskal–Wallis
H = 21.29
3
< 0.0001
p < 0.0063
Yes
ε² = 0.665
large
Year built
Kruskal–Wallis
H = 5.48
3
0.1397
p < 0.0063
Unclear
ε² = 0.171
large
Days on market
Kruskal–Wallis
H = 2.64
3
0.4509
p < 0.0063
Unclear
ε² = 0.082
medium
Discount from original list
Kruskal–Wallis
H = 1.54
3
0.6722
p < 0.0063
Unclear
ε² = 0.048
small
Price cut before sale
Chi-square
χ² = 3.80
3
0.2842
p < 0.0063
Unclear
Cramér’s V = 0.339
medium
Seller paid closing costs or repairs
Chi-square
χ² = 1.81
3
0.6122
p < 0.0063
Unclear
Cramér’s V = 0.234
small
Has a view
Chi-square
χ² = 4.88
3
0.1809
p < 0.0063
Unclear
Cramér’s V = 0.384
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 = 21.61
3
< 0.0001
p < 0.0063
Yes
ε² = 0.675
large
Net price per SF
Kruskal–Wallis
H = 5.29
3
0.1517
p < 0.0063
Unclear
ε² = 0.165
large
Year built
Kruskal–Wallis
H = 6.82
3
0.0778
p < 0.0063
Unclear
ε² = 0.213
large
Days on market
Kruskal–Wallis
H = 0.59
3
0.8985
p < 0.0063
Unclear
ε² = 0.018
small
Discount from original list
Kruskal–Wallis
H = 1.55
3
0.6717
p < 0.0063
Unclear
ε² = 0.048
small
Price cut before sale
Chi-square
χ² = 1.70
3
0.6363
p < 0.0063
Unclear
Cramér’s V = 0.227
small
Seller paid closing costs or repairs
Chi-square
χ² = 1.50
3
0.6823
p < 0.0063
Unclear
Cramér’s V = 0.213
small
Has a view
Chi-square
χ² = 2.86
3
0.4134
p < 0.0063
Unclear
Cramér’s V = 0.294
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 = 3.16
3
0.3680
p < 0.0063
Unclear
ε² = 0.099
medium
Net price per SF
Kruskal–Wallis
H = 0.65
3
0.8845
p < 0.0063
Unclear
ε² = 0.020
small
Living area
Kruskal–Wallis
H = 7.59
3
0.0552
p < 0.0063
Unclear
ε² = 0.237
large
Days on market
Kruskal–Wallis
H = 0.26
3
0.9673
p < 0.0063
Unclear
ε² = 0.008
negligible
Discount from original list
Kruskal–Wallis
H = 2.23
3
0.5263
p < 0.0063
Unclear
ε² = 0.070
medium
Price cut before sale
Chi-square
χ² = 0.92
3
0.8202
p < 0.0063
Unclear
Cramér’s V = 0.167
small
Seller paid closing costs or repairs
Chi-square
χ² = 1.57
3
0.6659
p < 0.0063
Unclear
Cramér’s V = 0.218
small
Has a view
Chi-square
χ² = 0.99
3
0.8038
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 = 169.00
—
0.1064
p < 0.0063
Unclear
rank-biserial r = 0.341
medium
Net price per SF
Mann–Whitney U
U = 199.00
—
0.0059
p < 0.0063
Yes
rank-biserial r = 0.579
large
Living area
Mann–Whitney U
U = 151.00
—
0.3520
p < 0.0063
Unclear
rank-biserial r = 0.198
small
Year built
Mann–Whitney U
U = 126.50
—
1.0000
p < 0.0063
Unclear
rank-biserial r = 0.004
negligible
Days on market
Mann–Whitney U
U = 98.00
—
0.2962
p < 0.0063
Unclear
rank-biserial r = 0.222
small
Discount from original list
Mann–Whitney U
U = 111.50
—
0.5948
p < 0.0063
Unclear
rank-biserial r = 0.115
small
Price cut before sale
Chi-square
χ² = 1.66
1
0.1977
p < 0.0063
Unclear
Cramér’s V = 0.228
small
Seller paid closing costs or repairs
Chi-square
χ² = 0.79
1
0.3730
p < 0.0063
Unclear
Cramér’s V = 0.157
small
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.