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
56
single-family resale homes
Median net sale price
$341,334
average $366,272
Median net price per SF
$178
average $174
Median days on market
50 days
average 99 days
1. SummaryResale homes · 56 sales · October 26, 2025 – October 25, 2026
This study looks at the 56 resale homes sold in Morningstar in the 365 days to October 25, 2026. A full year is used because only 33 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 sold56 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 · 56 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 $410K are about 1,340 SF (84%) larger than homes under $295K.
Homes over $410K sell for about $7 per SF (4%) less than homes under $295K.
3.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under $295K$295K–$339K$344K–$410KOver $410K
Higher-priced homes Over $410K
Are much larger.
Sell for less per square foot.
Lower-priced homes Under $295K
Are much smaller.
Sell for more per square foot.
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 $295K
$295K–$339K
$344K–$410K
Over $410K
Real difference?
Net price per SF
$176 per SF
$189 per SFHighest
$164 per SFLowest
$169 per SF
✓ large
Living area
1,601 SFSmallest
1,701 SF
2,302 SF
2,942 SFLargest
✓ large
Year built
2019
2020
2020
2020
unclear
Days on market
50 days
42 days
102 days
41 days
unclear
Discount from original list
12.0%
6.0%
8.2%
6.4%
unclear
Price cut before sale
71%
50%
71%
64%
unclear
Seller paid closing costs or repairs
64%
79%
93%
57%
unclear
Has a view
7%
29%
14%
29%
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 Homes over $410K sell for about $7 per SF (4%) less than homes under $295K
The average is $169 per SF for homes over $410K and $176 per SF for homes under $295K. It does not move in a straight line; homes $295K–$339K are highest. Defined in 8.1.2.
✓ Real difference · large
3.4 Homes over $410K are about 1,340 SF (84%) larger than homes under $295K
The average is 2,942 SF for homes over $410K and 1,601 SF for homes under $295K. 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 2020 for homes over $410K and 2019 for homes under $295K. It does not move in a straight line; homes $295K–$339K are highest. Defined in 8.1.4.
– No clear difference · could be chance
3.6 Days on market: no clear difference
The median is 41 days for homes over $410K and 50 days for homes under $295K. It does not move in a straight line; homes $344K–$410K are highest. Defined in 8.1.5.
– No clear difference · could be chance
3.7 Discount from original list: no clear difference
The average is 6.4% for homes over $410K and 12.0% for homes under $295K. It does not move in a straight line; homes under $295K 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.
64% of homes over $410K had a price cut before sale, against 71% of homes under $295K. Defined in 8.1.7.
57% of homes over $410K had the seller pay closing costs or repairs, against 64% of homes under $295K. Defined in 8.1.8.
29% of homes over $410K have a view, against 7% of homes under $295K. 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 $295K14 sales
$295K–$339K14 sales
$344K–$410K14 sales
Over $410K14 sales
All56 sales
Real difference?
Net sale price average
$278,930
$319,851
$371,750
$494,558
$366,272
by design
Net price per SF average
$176
$189
$164
$169
$174
✓ large
Living area average
1,601
1,701
2,302
2,942
2,136
✓ large
Year built median
2019
2020
2020
2020
2020
unclear
3.10 The numbers: selling
Under $295K14 sales
$295K–$339K14 sales
$344K–$410K14 sales
Over $410K14 sales
All56 sales
Real difference?
Days on market median
50
42
102
41
50
unclear
Discount from original list average
12.0%
6.0%
8.2%
6.4%
8.1%
unclear
Price cut before sale
71%
50%
71%
64%
64%
unclear
Seller paid closing costs or repairs
64%
79%
93%
57%
73%
unclear
Has a view
7%
29%
14%
29%
20%
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 · 56 sales · October 26, 2025 – October 25, 2026
Sales ranked by living area and cut into four equal groups, from the smallest homes to the largest.
Bottom line
Homes over 2,625 SF sell for about $192K (67%) more than homes under 1,601 SF.
Homes over 2,625 SF sell for about $31 per SF (16%) less than homes under 1,601 SF.
4.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under 1,601 SF1,601–1,881 SF1,971–2,625 SFOver 2,625 SF
Larger homes Over 2,625 SF
Sell for much more.
Sell for less per square foot.
Smaller homes Under 1,601 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 1,601 SF
1,601–1,881 SF
1,971–2,625 SF
Over 2,625 SF
Real difference?
Net sale price
$286KLowest
$318K
$382K
$479KHighest
✓ large
Net price per SF
$191 per SFHighest
$179 per SF
$167 per SF
$160 per SFLowest
✓ large
Year built
2019
2020
2019
2020
unclear
Days on market
78 days
30 days
74 days
142 days
unclear
Discount from original list
9.8%
7.1%
7.8%
7.8%
unclear
Price cut before sale
71%
43%
64%
79%
unclear
Seller paid closing costs or repairs
64%
79%
86%
64%
unclear
Has a view
14%
21%
14%
29%
unclear
4.3 Homes over 2,625 SF sell for about $192K (67%) more than homes under 1,601 SF
The average is $479K for homes over 2,625 SF and $286K for homes under 1,601 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 2,625 SF sell for about $31 per SF (16%) less than homes under 1,601 SF
The average is $160 per SF for homes over 2,625 SF and $191 per SF for homes under 1,601 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.
✓ Real difference · large
4.5 Year built: no clear difference
The median is 2020 for homes over 2,625 SF and 2019 for homes under 1,601 SF. It does not move in a straight line; homes 1,601–1,881 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 142 days for homes over 2,625 SF and 78 days for homes under 1,601 SF. It does not move in a straight line; homes over 2,625 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 7.8% for homes over 2,625 SF and 9.8% for homes under 1,601 SF. It does not move in a straight line; homes under 1,601 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.
79% of homes over 2,625 SF had a price cut before sale, against 71% of homes under 1,601 SF. Defined in 8.1.7.
64% of homes over 2,625 SF had the seller pay closing costs or repairs, against 64% of homes under 1,601 SF. Defined in 8.1.8.
29% of homes over 2,625 SF have a view, against 14% of homes under 1,601 SF. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance
4.9 The numbers: price and size
Under 1,601 SF14 sales
1,601–1,881 SF14 sales
1,971–2,625 SF14 sales
Over 2,625 SF14 sales
All56 sales
Real difference?
Net sale price average
$286,205
$317,897
$382,439
$478,548
$366,272
✓ large
Net price per SF average
$191
$179
$167
$160
$174
✓ large
Living area average
1,501
1,776
2,292
2,977
2,136
by design
Year built median
2019
2020
2019
2020
2020
unclear
4.10 The numbers: selling
Under 1,601 SF14 sales
1,601–1,881 SF14 sales
1,971–2,625 SF14 sales
Over 2,625 SF14 sales
All56 sales
Real difference?
Days on market median
78
30
74
142
50
unclear
Discount from original list average
9.8%
7.1%
7.8%
7.8%
8.1%
unclear
Price cut before sale
71%
43%
64%
79%
64%
unclear
Seller paid closing costs or repairs
64%
79%
86%
64%
73%
unclear
Has a view
14%
21%
14%
29%
20%
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 · 56 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
41% of homes built after 2020 have a view, against 0% of homes built before 2019.
5.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Before 201920192020After 2020
Newer homes After 2020
Are more likely to have a view.
Older homes Before 2019
Are less likely to have a view.
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 2019
2019
2020
After 2020
Real difference?
Net sale price
$334K
$362K
$398K
$357K
unclear
Net price per SF
$171 per SF
$177 per SF
$174 per SF
$173 per SF
unclear
Living area
1,988 SF
2,091 SF
2,300 SF
2,111 SF
unclear
Days on market
31 days
47 days
35 days
138 days
unclear
Discount from original list
9.1%
8.7%
5.4%
9.3%
unclear
Price cut before sale
60%
67%
54%
71%
unclear
Seller paid closing costs or repairs
80%
67%
69%
82%
unclear
Has a view
0%Fewest
0%
31%
41%Most
✓ medium
5.3 Net sale price: no clear difference
The average is $357K for homes built after 2020 and $334K for homes built before 2019. It does not move in a straight line; homes built 2020 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 $173 per SF for homes built after 2020 and $171 per SF for homes built before 2019. It does not move in a straight line; homes built 2019 are highest. Defined in 8.1.2.
– No clear difference · could be chance
5.5 Living area: no clear difference
The average is 2,111 SF for homes built after 2020 and 1,988 SF for homes built before 2019. It does not move in a straight line; homes built 2020 are highest. Defined in 8.1.3.
– No clear difference · could be chance
5.6 Days on market: no clear difference
The median is 138 days for homes built after 2020 and 31 days for homes built before 2019. It does not move in a straight line; homes built after 2020 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 9.3% for homes built after 2020 and 9.1% for homes built before 2019. It does not move in a straight line; homes built after 2020 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.
71% of homes built after 2020 had a price cut before sale, against 60% of homes built before 2019. Defined in 8.1.7.
82% of homes built after 2020 had the seller pay closing costs or repairs, against 80% of homes built before 2019. Defined in 8.1.8.
41% of homes built after 2020 have a view, against 0% of homes built before 2019. 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: ✓ Real difference · medium
5.9 The numbers: price and size
Before 20195 sales
201921 sales
202013 sales
After 202017 sales
All56 sales
Real difference?
Net sale price average
$333,635
$361,554
$397,985
$357,449
$366,272
unclear
Net price per SF average
$171
$177
$174
$173
$174
unclear
Living area average
1,988
2,091
2,300
2,111
2,136
unclear
Year built median
2018
2019
2020
2022
2020
by design
5.10 The numbers: selling
Before 20195 sales
201921 sales
202013 sales
After 202017 sales
All56 sales
Real difference?
Days on market median
31
47
35
138
50
unclear
Discount from original list average
9.1%
8.7%
5.4%
9.3%
8.1%
unclear
Price cut before sale
60%
67%
54%
71%
64%
unclear
Seller paid closing costs or repairs
80%
67%
69%
82%
73%
unclear
Has a view
0%
0%
31%
41%
20%
✓ medium
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 · 56 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. 1 sales whose MLS view entry is only “See Remarks” are left out.
Bottom line
Homes with a view are about 2 years newer 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
Tend to be newer.
Homes without a view no view listed
Tend to be older.
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
$379K
$361K
unclear
Net price per SF
$173 per SF
$175 per SF
unclear
Living area
2,238 SF
2,101 SF
unclear
Year built
2021Newest
2019Oldest
✓ large
Days on market
109 days
50 days
unclear
Discount from original list
7.8%
8.4%
unclear
Price cut before sale
45%
70%
unclear
Seller paid closing costs or repairs
73%
73%
unclear
6.3 Net sale price: no clear difference
The average is $379K for homes with a view and $361K 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 $173 per SF for homes with a view and $175 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 2,238 SF for homes with a view and 2,101 SF for homes without a view. Defined in 8.1.3.
– No clear difference · could be chance
6.6 Homes with a view are about 2 years newer than homes without a view
The median is 2021 for homes with a view and 2019 for homes without a view. Defined in 8.1.4.
✓ Real difference · large
6.7 Days on market: no clear difference
The median is 109 days for homes with a view and 50 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 7.8% for homes with a view and 8.4% 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.
45% of homes with a view had a price cut before sale, against 70% of homes without a view. Defined in 8.1.7.
73% of homes with a view had the seller pay closing costs or repairs, against 73% of homes without a view. Defined in 8.1.8.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
6.10 The numbers: price and size
View11 sales
No view44 sales
All55 sales
Real difference?
Net sale price average
$379,320
$360,713
$364,435
unclear
Net price per SF average
$173
$175
$174
unclear
Living area average
2,238
2,101
2,129
unclear
Year built median
2021
2019
2020
✓ large
6.11 The numbers: selling
View11 sales
No view44 sales
All55 sales
Real difference?
Days on market median
109
50
52
unclear
Discount from original list average
7.8%
8.4%
8.3%
unclear
Price cut before sale
45%
70%
65%
unclear
Seller paid closing costs or repairs
73%
73%
73%
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 · 23 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: 23 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 Morningstar.
Measure
Average
Median
Sales
23
Net sale price
$348,333
$341,212
Net price per SF
$196
$189
Living area (SF)
1,820
1,981
Days on market
120
132
Discount from original list
12.5%
11.6%
Price cut before sale
78% of sales
Seller paid closing costs or repairs
96% of sales
Year built
2023–2025
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
56 resale sales. Average $366,272; median $341,334; standard deviation $92,235; middle half (25th–75th percentile) $294,242–$409,850; lowest $239,999, highest $721,000. 41 sales had a seller payment; their median payment was $7,500.
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
56 resale sales. Average $174; median $178; standard deviation $19; middle half (25th–75th percentile) $158–$185; lowest $137, highest $212.
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
56 resale sales. Average 2,136; median 1,926; standard deviation 625; middle half (25th–75th percentile) 1,600–2,629; lowest 1,392, highest 4,023.
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
56 resale sales. Average 2020; median 2020; standard deviation 2; middle half (25th–75th percentile) 2019–2021; lowest 2016, highest 2025.
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
56 resale sales. Average 99; median 50; standard deviation 109; middle half (25th–75th percentile) 21–140; lowest 5, highest 549. 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
56 resale sales. Average 8.1%; median 6.9%; standard deviation 6.0%; middle half (25th–75th percentile) 3.3%–12.8%; lowest 0.0%, highest 23.6%. 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
36 of 56 resale sales (64.3%).
8.1.8 Seller paid closing costs or repairs
In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
41 of 56 resale sales (73.2%).
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
11 sales with a view, 44 without, 1 unclassified. Most common View entries: None 29, Neighborhood 18, Park/Greenbelt 7, Pond 2, Trees/Woods 2, See Remarks 2, Hill Country 1, Pasture 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 “morningstar”, “morning star” (case-insensitive). A record is kept when its subdivision name belongs to the Morningstar family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 79 closed Morningstar records over the prior year, in ZIP 78628, 78629. 20 subdivision spellings kept, the most common: Morningstar (39); MorningStar (7); Morning Star (4); MORNINGSTAR (4); Morningstar Ph 1 Sec 2 (3); Morningstar Ph 3 Sec 3 (3); Morningstar Ph 2 Sec 4 & 5 (3); Morningstar Ph 3 Sec 1B (2); Morningstar Ph 1 Sec 3 (2); Morningstar Ph 3 Sec 2A (2); Morningstar Ph 3 Sec 1A (1); Morningstar Ph 1 Sec 1 (1); and 8 more (8 records). No other names were found by the search.
8.2.2 Study window
In simple terms
The most recent 365 days of closed sales: recent enough to describe today's market, long enough to give each group plenty of sales. The usual window is 180 days; it holds only 33 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
79 single-family sales in the window: 56 resale, 23 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
56 resale; 23 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 $295K”.
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 $295K: $239,999–$291,970 (14 sales); $295K–$339K: $295,000–$339,167 (14 sales); $344K–$410K: $343,500–$409,800 (14 sales); Over $410K: $410,000–$721,000 (14 sales) Quartiles by living area: Under 1,601 SF: 1,392–1,599 SF (14 sales); 1,601–1,881 SF: 1,601–1,881 SF (14 sales); 1,971–2,625 SF: 1,971–2,625 SF (14 sales); Over 2,625 SF: 2,640–4,023 SF (14 sales) Quartiles by year built: Before 2019: 2016–2018 (5 sales); 2019: 2019–2019 (21 sales); 2020: 2020–2020 (13 sales); After 2020: 2021–2025 (17 sales) View and no view: View: MLS lists a view (11 sales); No view: None or Neighborhood (44 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 $366,272, median $341,334. Days on market: average 99, median 50: 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
6 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 = 13.70
3
0.0033
p < 0.0063
Yes
ε² = 0.249
large
Living area
Kruskal–Wallis
H = 43.23
3
< 0.0001
p < 0.0063
Yes
ε² = 0.786
large
Year built
Kruskal–Wallis
H = 4.40
3
0.2212
p < 0.0063
Unclear
ε² = 0.080
medium
Days on market
Kruskal–Wallis
H = 2.76
3
0.4302
p < 0.0063
Unclear
ε² = 0.050
small
Discount from original list
Kruskal–Wallis
H = 8.72
3
0.0332
p < 0.0063
Unclear
ε² = 0.159
large
Price cut before sale
Chi-square
χ² = 1.87
3
0.6005
p < 0.0063
Unclear
Cramér’s V = 0.183
small
Seller paid closing costs or repairs
Chi-square
χ² = 5.37
3
0.1465
p < 0.0063
Unclear
Cramér’s V = 0.310
medium
Has a view
Chi-square
χ² = 3.05
3
0.3833
p < 0.0063
Unclear
Cramér’s V = 0.234
small
8.3.2 Quartiles by living area
Measure
Test
Statistic
df
p-value
Threshold
Real difference?
Effect size
Size
Net sale price
Kruskal–Wallis
H = 42.05
3
< 0.0001
p < 0.0063
Yes
ε² = 0.765
large
Net price per SF
Kruskal–Wallis
H = 21.55
3
< 0.0001
p < 0.0063
Yes
ε² = 0.392
large
Year built
Kruskal–Wallis
H = 2.51
3
0.4742
p < 0.0063
Unclear
ε² = 0.046
small
Days on market
Kruskal–Wallis
H = 4.85
3
0.1834
p < 0.0063
Unclear
ε² = 0.088
medium
Discount from original list
Kruskal–Wallis
H = 2.04
3
0.5643
p < 0.0063
Unclear
ε² = 0.037
small
Price cut before sale
Chi-square
χ² = 4.36
3
0.2255
p < 0.0063
Unclear
Cramér’s V = 0.279
small
Seller paid closing costs or repairs
Chi-square
χ² = 2.46
3
0.4828
p < 0.0063
Unclear
Cramér’s V = 0.210
small
Has a view
Chi-square
χ² = 1.24
3
0.7424
p < 0.0063
Unclear
Cramér’s V = 0.149
small
8.3.3 Quartiles by year built
Measure
Test
Statistic
df
p-value
Threshold
Real difference?
Effect size
Size
Net sale price
Kruskal–Wallis
H = 1.82
3
0.6114
p < 0.0063
Unclear
ε² = 0.033
small
Net price per SF
Kruskal–Wallis
H = 0.35
3
0.9497
p < 0.0063
Unclear
ε² = 0.006
negligible
Living area
Kruskal–Wallis
H = 2.10
3
0.5523
p < 0.0063
Unclear
ε² = 0.038
small
Days on market
Kruskal–Wallis
H = 6.62
3
0.0851
p < 0.0063
Unclear
ε² = 0.120
medium
Discount from original list
Kruskal–Wallis
H = 3.68
3
0.2980
p < 0.0063
Unclear
ε² = 0.067
medium
Price cut before sale
Chi-square
χ² = 1.00
3
0.8005
p < 0.0063
Unclear
Cramér’s V = 0.134
small
Seller paid closing costs or repairs
Chi-square
χ² = 1.41
3
0.7042
p < 0.0063
Unclear
Cramér’s V = 0.158
small
Has a view
Chi-square
χ² = 12.37
3
0.0062
p < 0.0063
Yes
Cramér’s V = 0.470
medium
8.3.4 View and no view
Measure
Test
Statistic
df
p-value
Threshold
Real difference?
Effect size
Size
Net sale price
Mann–Whitney U
U = 301.00
—
0.2183
p < 0.0063
Unclear
rank-biserial r = 0.244
small
Net price per SF
Mann–Whitney U
U = 231.00
—
0.8251
p < 0.0063
Unclear
rank-biserial r = 0.045
negligible
Living area
Mann–Whitney U
U = 291.00
—
0.3075
p < 0.0063
Unclear
rank-biserial r = 0.202
small
Year built
Mann–Whitney U
U = 383.00
—
0.0022
p < 0.0063
Yes
rank-biserial r = 0.583
large
Days on market
Mann–Whitney U
U = 244.00
—
0.9748
p < 0.0063
Unclear
rank-biserial r = 0.008
negligible
Discount from original list
Mann–Whitney U
U = 206.00
—
0.4551
p < 0.0063
Unclear
rank-biserial r = 0.149
small
Price cut before sale
Chi-square
χ² = 2.43
1
0.1189
p < 0.0063
Unclear
Cramér’s V = 0.210
small
Seller paid closing costs or repairs
Chi-square
χ² = 0.00
1
1.0000
p < 0.0063
Unclear
Cramér’s V = 0.000
negligible
8.4 Data notes
Left out of the analysis: 23 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.