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
64
single-family resale homes
Median net sale price
$468,532
average $509,362
Median net price per SF
$183
average $184
Median days on market
30 days
average 76 days
1. SummaryResale homes · 64 sales · October 26, 2025 – October 25, 2026
This study looks at the 64 resale homes sold in Teravista in the 365 days to October 25, 2026. A full year is used because only 28 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 sold64 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 · 64 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 $583K are about 1,650 SF (79%) larger than homes under $400K.
Homes over $583K are about 6 years newer than homes under $400K.
3.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under $400K$400K–$462K$475K–$583KOver $583K
Higher-priced homes Over $583K
Are much larger.
Tend to be newer.
Lower-priced homes Under $400K
Are much smaller.
Tend to be older.
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 $400K
$400K–$462K
$475K–$583K
Over $583K
Real difference?
Net price per SF
$182 per SF
$184 per SF
$175 per SF
$194 per SF
unclear
Living area
2,084 SFSmallest
2,448 SF
3,001 SF
3,732 SFLargest
✓ large
Year built
2005Oldest
2008
2008
2012Newest
✓ large
Days on market
76 days
52 days
25 days
21 days
unclear
Discount from original list
7.7%
5.7%
7.0%
6.0%
unclear
Price cut before sale
56%
44%
50%
38%
unclear
Seller paid closing costs or repairs
56%
69%
62%
62%
unclear
Has a view
25%
25%
38%
62%
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 $194 per SF for homes over $583K and $182 per SF for homes under $400K. It does not move in a straight line; homes over $583K are highest. Defined in 8.1.2.
– No clear difference · could be chance
3.4 Homes over $583K are about 1,650 SF (79%) larger than homes under $400K
The average is 3,732 SF for homes over $583K and 2,084 SF for homes under $400K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.
✓ Real difference · large
3.5 Homes over $583K are about 6 years newer than homes under $400K
The median is 2012 for homes over $583K and 2005 for homes under $400K. It rises step by step from the lowest range to the highest. Defined in 8.1.4.
✓ Real difference · large
3.6 Days on market: no clear difference
The median is 21 days for homes over $583K and 76 days for homes under $400K. It falls step by step from the lowest range to the highest. Defined in 8.1.5.
– No clear difference · could be chance
3.7 Discount from original list: no clear difference
The average is 6.0% for homes over $583K and 7.7% for homes under $400K. It does not move in a straight line; homes under $400K 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.
38% of homes over $583K had a price cut before sale, against 56% of homes under $400K. Defined in 8.1.7.
62% of homes over $583K had the seller pay closing costs or repairs, against 56% of homes under $400K. Defined in 8.1.8.
62% of homes over $583K have a view, against 25% of homes under $400K. 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 $400K16 sales
$400K–$462K16 sales
$475K–$583K16 sales
Over $583K16 sales
All64 sales
Real difference?
Net sale price average
$368,987
$436,295
$517,520
$714,646
$509,362
by design
Net price per SF average
$182
$184
$175
$194
$184
unclear
Living area average
2,084
2,448
3,001
3,732
2,816
✓ large
Year built median
2005
2008
2008
2012
2008
✓ large
3.10 The numbers: selling
Under $400K16 sales
$400K–$462K16 sales
$475K–$583K16 sales
Over $583K16 sales
All64 sales
Real difference?
Days on market median
76
52
25
21
30
unclear
Discount from original list average
7.7%
5.7%
7.0%
6.0%
6.6%
unclear
Price cut before sale
56%
44%
50%
38%
47%
unclear
Seller paid closing costs or repairs
56%
69%
62%
62%
62%
unclear
Has a view
25%
25%
38%
62%
38%
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 · 64 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 3,252 SF sell for about $310K (79%) more than homes under 2,274 SF.
Homes over 3,252 SF sell for about $30 per SF (14%) less than homes under 2,274 SF.
4.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under 2,274 SF2,274–2,708 SF2,740–3,252 SFOver 3,252 SF
Larger homes Over 3,252 SF
Sell for much more.
Sell for less per square foot.
Smaller homes Under 2,274 SF
Sell for much less.
Sell for more per square foot.
4.2 At a glance
Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.
Under 2,274 SF
2,274–2,708 SF
2,740–3,252 SF
Over 3,252 SF
Real difference?
Net sale price
$392KLowest
$446K
$498K
$702KHighest
✓ large
Net price per SF
$209 per SFHighest
$179 per SF
$168 per SFLowest
$179 per SF
✓ large
Year built
2006
2008
2007
2011
unclear
Days on market
50 days
58 days
36 days
26 days
unclear
Discount from original list
4.7%
6.7%
7.1%
8.0%
unclear
Price cut before sale
50%
50%
44%
44%
unclear
Seller paid closing costs or repairs
50%
69%
62%
69%
unclear
Has a view
38%
19%
50%
44%
unclear
4.3 Homes over 3,252 SF sell for about $310K (79%) more than homes under 2,274 SF
The average is $702K for homes over 3,252 SF and $392K for homes under 2,274 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.
✓ Real difference · large
4.4 Homes over 3,252 SF sell for about $30 per SF (14%) less than homes under 2,274 SF
The average is $179 per SF for homes over 3,252 SF and $209 per SF for homes under 2,274 SF. It does not move in a straight line; homes under 2,274 SF are highest. Defined in 8.1.2.
✓ Real difference · large
4.5 Year built: no clear difference
The median is 2011 for homes over 3,252 SF and 2006 for homes under 2,274 SF. It does not move in a straight line; homes over 3,252 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 26 days for homes over 3,252 SF and 50 days for homes under 2,274 SF. It does not move in a straight line; homes 2,274–2,708 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 8.0% for homes over 3,252 SF and 4.7% for homes under 2,274 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.6.
– No clear difference · could be chance
4.8 How often: price cut before sale, seller paid closing costs or repairs, has a view
Each bar is the share of homes in the group, in percent.
44% of homes over 3,252 SF had a price cut before sale, against 50% of homes under 2,274 SF. Defined in 8.1.7.
69% of homes over 3,252 SF had the seller pay closing costs or repairs, against 50% of homes under 2,274 SF. Defined in 8.1.8.
44% of homes over 3,252 SF have a view, against 38% of homes under 2,274 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 2,274 SF16 sales
2,274–2,708 SF16 sales
2,740–3,252 SF16 sales
Over 3,252 SF16 sales
All64 sales
Real difference?
Net sale price average
$391,518
$446,024
$498,102
$701,805
$509,362
✓ large
Net price per SF average
$209
$179
$168
$179
$184
✓ large
Living area average
1,880
2,495
2,971
3,918
2,816
by design
Year built median
2006
2008
2007
2011
2008
unclear
4.10 The numbers: selling
Under 2,274 SF16 sales
2,274–2,708 SF16 sales
2,740–3,252 SF16 sales
Over 3,252 SF16 sales
All64 sales
Real difference?
Days on market median
50
58
36
26
30
unclear
Discount from original list average
4.7%
6.7%
7.1%
8.0%
6.6%
unclear
Price cut before sale
50%
50%
44%
44%
47%
unclear
Seller paid closing costs or repairs
50%
69%
62%
69%
62%
unclear
Has a view
38%
19%
50%
44%
38%
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 · 64 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
Homes built after 2010 sell for about $213K (51%) more than homes built before 2005.
5.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Before 20052005–20072008–2010After 2010
Newer homes After 2010
Sell for much more.
Older homes Before 2005
Sell for much less.
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 2005
2005–2007
2008–2010
After 2010
Real difference?
Net sale price
$419KLowest
$453K
$492K
$632KHighest
✓ large
Net price per SF
$178 per SF
$170 per SF
$184 per SF
$199 per SF
unclear
Living area
2,397 SF
2,773 SF
2,713 SF
3,213 SF
unclear
Days on market
44 days
29 days
54 days
22 days
unclear
Discount from original list
4.7%
8.6%
6.8%
6.1%
unclear
Price cut before sale
36%
47%
54%
50%
unclear
Seller paid closing costs or repairs
50%
65%
62%
70%
unclear
Has a view
36%
29%
31%
50%
unclear
5.3 Homes built after 2010 sell for about $213K (51%) more than homes built before 2005
The average is $632K for homes built after 2010 and $419K for homes built before 2005. It rises step by step from the lowest range to the highest. Defined in 8.1.1.
✓ Real difference · large
5.4 Net price per SF: no clear difference
The average is $199 per SF for homes built after 2010 and $178 per SF for homes built before 2005. It does not move in a straight line; homes built after 2010 are highest. Defined in 8.1.2.
– No clear difference · could be chance
5.5 Living area: no clear difference
The average is 3,213 SF for homes built after 2010 and 2,397 SF for homes built before 2005. It does not move in a straight line; homes built after 2010 are highest. Defined in 8.1.3.
– No clear difference · could be chance
5.6 Days on market: no clear difference
The median is 22 days for homes built after 2010 and 44 days for homes built before 2005. It does not move in a straight line; homes built 2008–2010 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 6.1% for homes built after 2010 and 4.7% for homes built before 2005. It does not move in a straight line; homes built 2005–2007 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.
50% of homes built after 2010 had a price cut before sale, against 36% of homes built before 2005. Defined in 8.1.7.
70% of homes built after 2010 had the seller pay closing costs or repairs, against 50% of homes built before 2005. Defined in 8.1.8.
50% of homes built after 2010 have a view, against 36% of homes built before 2005. 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 200514 sales
2005–200717 sales
2008–201013 sales
After 201020 sales
All64 sales
Real difference?
Net sale price average
$418,678
$453,222
$492,024
$631,829
$509,362
✓ large
Net price per SF average
$178
$170
$184
$199
$184
unclear
Living area average
2,397
2,773
2,713
3,213
2,816
unclear
Year built median
2003
2006
2009
2012
2008
by design
5.10 The numbers: selling
Before 200514 sales
2005–200717 sales
2008–201013 sales
After 201020 sales
All64 sales
Real difference?
Days on market median
44
29
54
22
30
unclear
Discount from original list average
4.7%
8.6%
6.8%
6.1%
6.6%
unclear
Price cut before sale
36%
47%
54%
50%
47%
unclear
Seller paid closing costs or repairs
50%
65%
62%
70%
62%
unclear
Has a view
36%
29%
31%
50%
38%
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 · 64 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. 3 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
$563K
$475K
unclear
Net price per SF
$194 per SF
$178 per SF
unclear
Living area
2,965 SF
2,710 SF
unclear
Year built
2008
2007
unclear
Days on market
22 days
42 days
unclear
Discount from original list
5.9%
6.9%
unclear
Price cut before sale
46%
46%
unclear
Seller paid closing costs or repairs
54%
65%
unclear
6.3 Net sale price: no clear difference
The average is $563K for homes with a view and $475K 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 $194 per SF for homes with a view and $178 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 2,965 SF for homes with a view and 2,710 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 2008 for homes with a view and 2007 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 22 days for homes with a view and 42 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 5.9% for homes with a view and 6.9% 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.
46% of homes with a view had a price cut before sale, against 46% of homes without a view. Defined in 8.1.7.
54% of homes with a view had the seller pay closing costs or repairs, against 65% 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
View24 sales
No view37 sales
All61 sales
Real difference?
Net sale price average
$563,326
$474,568
$509,489
unclear
Net price per SF average
$194
$178
$184
unclear
Living area average
2,965
2,710
2,810
unclear
Year built median
2008
2007
2008
unclear
6.11 The numbers: selling
View24 sales
No view37 sales
All61 sales
Real difference?
Days on market median
22
42
30
unclear
Discount from original list average
5.9%
6.9%
6.5%
unclear
Price cut before sale
46%
46%
46%
unclear
Seller paid closing costs or repairs
54%
65%
61%
unclear
Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.4.
7. New constructionBasic statistics · 0 sales · October 26, 2025 – October 25, 2026
Homes sold new by the builder in the same 365 days. They are left out of every other section and shown here as basic figures only: 0 sales, no groups, no tests.
Note: these are only the new-construction sales reported in ABOR MLS. Builders often sell homes without listing them in the MLS, so these figures do not necessarily represent all new-construction sales in Teravista.
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
64 resale sales. Average $509,362; median $468,532; standard deviation $147,373; middle half (25th–75th percentile) $398,750–$584,741; lowest $307,838, highest $967,389. 40 sales had a seller payment; their median payment was $9,350.
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
64 resale sales. Average $184; median $183; standard deviation $28; middle half (25th–75th percentile) $162–$210; lowest $125, highest $239.
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
64 resale sales. Average 2,816; median 2,724; standard deviation 808; middle half (25th–75th percentile) 2,266–3,274; lowest 1,473, highest 4,768.
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
64 resale sales. Average 2008; median 2008; standard deviation 4; middle half (25th–75th percentile) 2005–2011; lowest 2002, highest 2017.
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
64 resale sales. Average 76; median 30; standard deviation 108; middle half (25th–75th percentile) 10–98; lowest 2, highest 611. 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
64 resale sales. Average 6.6%; median 5.6%; standard deviation 5.9%; middle half (25th–75th percentile) 1.6%–10.0%; lowest −1.9%, highest 32.7%. 2 sales closed above their first asking price.
8.1.7 Price cut before sale
In simple terms
The asking price was lowered at least once before the home went under contract.
Statistically
Indicator: ListPrice at close < OriginalListPrice. Reported as the share of sales (%).
The data
30 of 64 resale sales (46.9%).
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
40 of 64 resale sales (62.5%).
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
24 sales with a view, 37 without, 3 unclassified. Most common View entries: None 27, Neighborhood 20, Golf Course 11, Park/Greenbelt 8, See Remarks 4, Trees/Woods 3, Panoramic 3, Pool 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 = Round Rock, SubdivisionName contains any of “teravista” (case-insensitive). A record is kept when its subdivision name belongs to the Teravista family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 65 closed Teravista records over the prior year, in ZIP 78665. 24 subdivision spellings kept, the most common: Teravista (16); Teravista Sec 08 (6); Teravista Sec 07 (5); Teravista Sec 21 (5); Teravista Sec 13B (5); Teravista Sec 14B (4); Teravista Sec 23 (2); Teravista Sec 15b (2); Teravista Sec 12 Amd (2); Teravista Sec 10A (2); Teravista Sec 16A (2); Teravista Sec 09 (2); and 12 more (12 records). Names found by the search but not part of Teravista, left out: Rd Only Teravista Sec 12 Amd (2); Gardens At Teravista (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 28 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
64 single-family sales in the window: 64 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
64 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
1 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 $400K”.
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 $400K: $307,838–$395,000 (16 sales); $400K–$462K: $400,000–$462,250 (16 sales); $475K–$583K: $474,815–$583,000 (16 sales); Over $583K: $589,965–$967,389 (16 sales) Quartiles by living area: Under 2,274 SF: 1,473–2,240 SF (16 sales); 2,274–2,708 SF: 2,274–2,708 SF (16 sales); 2,740–3,252 SF: 2,740–3,252 SF (16 sales); Over 3,252 SF: 3,342–4,768 SF (16 sales) Quartiles by year built: Before 2005: 2002–2004 (14 sales); 2005–2007: 2005–2007 (17 sales); 2008–2010: 2008–2010 (13 sales); After 2010: 2011–2017 (20 sales) View and no view: View: MLS lists a view (24 sales); No view: None or Neighborhood (37 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 $509,362, median $468,532. Days on market: average 76, median 30: 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
5 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 = 3.82
3
0.2812
p < 0.0063
Unclear
ε² = 0.061
medium
Living area
Kruskal–Wallis
H = 39.12
3
< 0.0001
p < 0.0063
Yes
ε² = 0.621
large
Year built
Kruskal–Wallis
H = 19.43
3
0.0002
p < 0.0063
Yes
ε² = 0.308
large
Days on market
Kruskal–Wallis
H = 3.59
3
0.3091
p < 0.0063
Unclear
ε² = 0.057
small
Discount from original list
Kruskal–Wallis
H = 1.27
3
0.7373
p < 0.0063
Unclear
ε² = 0.020
small
Price cut before sale
Chi-square
χ² = 1.25
3
0.7399
p < 0.0063
Unclear
Cramér’s V = 0.140
small
Seller paid closing costs or repairs
Chi-square
χ² = 0.53
3
0.9115
p < 0.0063
Unclear
Cramér’s V = 0.091
negligible
Has a view
Chi-square
χ² = 6.40
3
0.0937
p < 0.0063
Unclear
Cramér’s V = 0.316
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 = 41.69
3
< 0.0001
p < 0.0063
Yes
ε² = 0.662
large
Net price per SF
Kruskal–Wallis
H = 18.69
3
0.0003
p < 0.0063
Yes
ε² = 0.297
large
Year built
Kruskal–Wallis
H = 10.50
3
0.0148
p < 0.0063
Unclear
ε² = 0.167
large
Days on market
Kruskal–Wallis
H = 1.08
3
0.7820
p < 0.0063
Unclear
ε² = 0.017
small
Discount from original list
Kruskal–Wallis
H = 3.01
3
0.3901
p < 0.0063
Unclear
ε² = 0.048
small
Price cut before sale
Chi-square
χ² = 0.25
3
0.9690
p < 0.0063
Unclear
Cramér’s V = 0.063
negligible
Seller paid closing costs or repairs
Chi-square
χ² = 1.60
3
0.6594
p < 0.0063
Unclear
Cramér’s V = 0.158
small
Has a view
Chi-square
χ² = 3.73
3
0.2917
p < 0.0063
Unclear
Cramér’s V = 0.242
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 = 20.91
3
0.0001
p < 0.0063
Yes
ε² = 0.332
large
Net price per SF
Kruskal–Wallis
H = 10.63
3
0.0139
p < 0.0063
Unclear
ε² = 0.169
large
Living area
Kruskal–Wallis
H = 6.98
3
0.0726
p < 0.0063
Unclear
ε² = 0.111
medium
Days on market
Kruskal–Wallis
H = 4.03
3
0.2580
p < 0.0063
Unclear
ε² = 0.064
medium
Discount from original list
Kruskal–Wallis
H = 3.73
3
0.2921
p < 0.0063
Unclear
ε² = 0.059
small
Price cut before sale
Chi-square
χ² = 1.03
3
0.7934
p < 0.0063
Unclear
Cramér’s V = 0.127
small
Seller paid closing costs or repairs
Chi-square
χ² = 1.45
3
0.6930
p < 0.0063
Unclear
Cramér’s V = 0.151
small
Has a view
Chi-square
χ² = 2.08
3
0.5563
p < 0.0063
Unclear
Cramér’s V = 0.180
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 = 586.00
—
0.0367
p < 0.0063
Unclear
rank-biserial r = 0.320
medium
Net price per SF
Mann–Whitney U
U = 589.00
—
0.0329
p < 0.0063
Unclear
rank-biserial r = 0.327
medium
Living area
Mann–Whitney U
U = 514.00
—
0.3049
p < 0.0063
Unclear
rank-biserial r = 0.158
small
Year built
Mann–Whitney U
U = 524.00
—
0.2387
p < 0.0063
Unclear
rank-biserial r = 0.180
small
Days on market
Mann–Whitney U
U = 338.00
—
0.1193
p < 0.0063
Unclear
rank-biserial r = 0.239
small
Discount from original list
Mann–Whitney U
U = 411.00
—
0.6314
p < 0.0063
Unclear
rank-biserial r = 0.074
negligible
Price cut before sale
Chi-square
χ² = 0.00
1
0.9931
p < 0.0063
Unclear
Cramér’s V = 0.001
negligible
Seller paid closing costs or repairs
Chi-square
χ² = 0.70
1
0.4034
p < 0.0063
Unclear
Cramér’s V = 0.107
small
8.4 Data notes
Left out of the analysis: 0 new-construction sales (basic statistics only, section 7); 1 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.