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
35
single-family resale homes
Median net sale price
$665,000
average $738,428
Median net price per SF
$241
average $251
Median days on market
24 days
average 58 days
1. SummaryResale homes · 35 sales · October 26, 2025 – October 25, 2026
This study looks at the 35 resale homes sold in Sweetwater in the 365 days to October 25, 2026. A full year is used because only 16 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 sold35 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 · 35 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 $818K are about 1,900 SF (93%) larger than homes under $540K.
3.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under $540K$540K–$665K$744K–$818KOver $818K
Higher-priced homes Over $818K
Are much larger.
Lower-priced homes Under $540K
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 $540K
$540K–$665K
$744K–$818K
Over $818K
Real difference?
Net price per SF
$246 per SF
$246 per SF
$237 per SF
$272 per SF
unclear
Living area
2,043 SFSmallest
2,482 SF
3,352 SF
3,945 SFLargest
✓ large
Year built
2016
2021
2013
2020
unclear
Days on market
24 days
32 days
26 days
24 days
unclear
Discount from original list
7.0%
3.3%
2.9%
2.0%
unclear
Price cut before sale
56%
44%
25%
33%
unclear
Seller paid closing costs or repairs
67%
44%
38%
44%
unclear
Has a view
11%
56%
50%
67%
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 $272 per SF for homes over $818K and $246 per SF for homes under $540K. It does not move in a straight line; homes over $818K are highest. Defined in 8.1.2.
– No clear difference · could be chance
3.4 Homes over $818K are about 1,900 SF (93%) larger than homes under $540K
The average is 3,945 SF for homes over $818K and 2,043 SF for homes under $540K. 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 $818K and 2016 for homes under $540K. It does not move in a straight line; homes $540K–$665K are highest. Defined in 8.1.4.
– No clear difference · could be chance
3.6 Days on market: no clear difference
The median is 24 days for homes over $818K and 24 days for homes under $540K. It does not move in a straight line; homes $540K–$665K 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 2.0% for homes over $818K and 7.0% for homes under $540K. It falls step by step from the lowest range to the highest. Defined in 8.1.6.
– No clear difference · could be chance
3.8 How often: price cut before sale, seller paid closing costs or repairs, has a view
Each bar is the share of homes in the group, in percent.
33% of homes over $818K had a price cut before sale, against 56% of homes under $540K. Defined in 8.1.7.
44% of homes over $818K had the seller pay closing costs or repairs, against 67% of homes under $540K. Defined in 8.1.8.
67% of homes over $818K have a view, against 11% of homes under $540K. 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 $540K9 sales
$540K–$665K9 sales
$744K–$818K8 sales
Over $818K9 sales
All35 sales
Real difference?
Net sale price average
$499,273
$606,594
$783,819
$1,069,067
$738,428
by design
Net price per SF average
$246
$246
$237
$272
$251
unclear
Living area average
2,043
2,482
3,352
3,945
2,944
✓ large
Year built median
2016
2021
2013
2020
2017
unclear
3.10 The numbers: selling
Under $540K9 sales
$540K–$665K9 sales
$744K–$818K8 sales
Over $818K9 sales
All35 sales
Real difference?
Days on market median
24
32
26
24
24
unclear
Discount from original list average
7.0%
3.3%
2.9%
2.0%
3.8%
unclear
Price cut before sale
56%
44%
25%
33%
40%
unclear
Seller paid closing costs or repairs
67%
44%
38%
44%
49%
unclear
Has a view
11%
56%
50%
67%
46%
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 · 35 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 3,524 SF sell for about $525K (103%) more than homes under 2,288 SF.
4.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under 2,288 SF2,288–2,684 SF2,837–3,524 SFOver 3,524 SF
Larger homes Over 3,524 SF
Sell for much more.
Smaller homes Under 2,288 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 2,288 SF
2,288–2,684 SF
2,837–3,524 SF
Over 3,524 SF
Real difference?
Net sale price
$509KLowest
$616K
$802K
$1.03MHighest
✓ large
Net price per SF
$253 per SF
$248 per SF
$258 per SF
$245 per SF
unclear
Year built
2018
2020
2020
2013
unclear
Days on market
24 days
58 days
18 days
24 days
unclear
Discount from original list
5.6%
4.7%
3.0%
1.8%
unclear
Price cut before sale
56%
44%
25%
33%
unclear
Seller paid closing costs or repairs
67%
33%
50%
44%
unclear
Has a view
22%
56%
50%
56%
unclear
4.3 Homes over 3,524 SF sell for about $525K (103%) more than homes under 2,288 SF
The average is $1.03M for homes over 3,524 SF and $509K for homes under 2,288 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 $245 per SF for homes over 3,524 SF and $253 per SF for homes under 2,288 SF. It does not move in a straight line; homes 2,837–3,524 SF are highest. Defined in 8.1.2.
– No clear difference · could be chance
4.5 Year built: no clear difference
The median is 2013 for homes over 3,524 SF and 2018 for homes under 2,288 SF. It does not move in a straight line; homes 2,288–2,684 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 24 days for homes over 3,524 SF and 24 days for homes under 2,288 SF. It does not move in a straight line; homes 2,288–2,684 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 1.8% for homes over 3,524 SF and 5.6% for homes under 2,288 SF. It falls 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.
33% of homes over 3,524 SF had a price cut before sale, against 56% of homes under 2,288 SF. Defined in 8.1.7.
44% of homes over 3,524 SF had the seller pay closing costs or repairs, against 67% of homes under 2,288 SF. Defined in 8.1.8.
56% of homes over 3,524 SF have a view, against 22% of homes under 2,288 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 2,288 SF9 sales
2,288–2,684 SF9 sales
2,837–3,524 SF8 sales
Over 3,524 SF9 sales
All35 sales
Real difference?
Net sale price average
$508,984
$615,772
$801,791
$1,034,203
$738,428
✓ large
Net price per SF average
$253
$248
$258
$245
$251
unclear
Living area average
2,020
2,486
3,117
4,172
2,944
by design
Year built median
2018
2020
2020
2013
2017
unclear
4.10 The numbers: selling
Under 2,288 SF9 sales
2,288–2,684 SF9 sales
2,837–3,524 SF8 sales
Over 3,524 SF9 sales
All35 sales
Real difference?
Days on market median
24
58
18
24
24
unclear
Discount from original list average
5.6%
4.7%
3.0%
1.8%
3.8%
unclear
Price cut before sale
56%
44%
25%
33%
40%
unclear
Seller paid closing costs or repairs
67%
33%
50%
44%
49%
unclear
Has a view
22%
56%
50%
56%
46%
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 · 35 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 2020 sell for about $37 per SF (16%) more than homes built before 2014.
5.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Before 20142014–20172018–2020After 2020
Newer homes After 2020
Sell for more per square foot.
Older homes Before 2014
Sell for less per square foot.
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 2014
2014–2017
2018–2020
After 2020
Real difference?
Net sale price
$760K
$676K
$800K
$724K
unclear
Net price per SF
$227 per SFLowest
$234 per SF
$281 per SFHighest
$264 per SF
✓ large
Living area
3,356 SF
2,923 SF
2,714 SF
2,757 SF
unclear
Days on market
8 days
24 days
56 days
29 days
unclear
Discount from original list
2.7%
4.4%
5.0%
3.2%
unclear
Price cut before sale
33%
44%
38%
44%
unclear
Seller paid closing costs or repairs
22%
67%
62%
44%
unclear
Has a view
22%
56%
50%
56%
unclear
5.3 Net sale price: no clear difference
The average is $724K for homes built after 2020 and $760K for homes built before 2014. It does not move in a straight line; homes built 2018–2020 are highest. Defined in 8.1.1.
– No clear difference · could be chance
5.4 Homes built after 2020 sell for about $37 per SF (16%) more than homes built before 2014
The average is $264 per SF for homes built after 2020 and $227 per SF for homes built before 2014. It does not move in a straight line; homes built 2018–2020 are highest. Defined in 8.1.2.
✓ Real difference · large
5.5 Living area: no clear difference
The average is 2,757 SF for homes built after 2020 and 3,356 SF for homes built before 2014. It does not move in a straight line; homes built before 2014 are highest. Defined in 8.1.3.
– No clear difference · could be chance
5.6 Days on market: no clear difference
The median is 29 days for homes built after 2020 and 8 days for homes built before 2014. It does not move in a straight line; homes built 2018–2020 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 3.2% for homes built after 2020 and 2.7% for homes built before 2014. It does not move in a straight line; homes built 2018–2020 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.
44% of homes built after 2020 had a price cut before sale, against 33% of homes built before 2014. Defined in 8.1.7.
44% of homes built after 2020 had the seller pay closing costs or repairs, against 22% of homes built before 2014. Defined in 8.1.8.
56% of homes built after 2020 have a view, against 22% of homes built before 2014. 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 20149 sales
2014–20179 sales
2018–20208 sales
After 20209 sales
All35 sales
Real difference?
Net sale price average
$759,894
$676,438
$799,912
$724,297
$738,428
unclear
Net price per SF average
$227
$234
$281
$264
$251
✓ large
Living area average
3,356
2,923
2,714
2,757
2,944
unclear
Year built median
2013
2014
2020
2021
2017
by design
5.10 The numbers: selling
Before 20149 sales
2014–20179 sales
2018–20208 sales
After 20209 sales
All35 sales
Real difference?
Days on market median
8
24
56
29
24
unclear
Discount from original list average
2.7%
4.4%
5.0%
3.2%
3.8%
unclear
Price cut before sale
33%
44%
38%
44%
40%
unclear
Seller paid closing costs or repairs
22%
67%
62%
44%
49%
unclear
Has a view
22%
56%
50%
56%
46%
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 · 35 sales · October 26, 2025 – October 25, 2026
Sales where the MLS lists a view (greenbelt or park, trees, golf course, hill country, water and similar) against those listing none or only the neighborhood.
Bottom line: no measure differs enough between the groups to rule out chance.
6.1 Key differences
The top group against the bottom group: no measure differs enough to rule out chance.
6.2 At a glance
Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.
View
No view
Real difference?
Net sale price
$856K
$640K
unclear
Net price per SF
$259 per SF
$244 per SF
unclear
Living area
3,273 SF
2,667 SF
unclear
Year built
2020
2016
unclear
Days on market
26 days
18 days
unclear
Discount from original list
2.4%
5.0%
unclear
Price cut before sale
31%
47%
unclear
Seller paid closing costs or repairs
44%
53%
unclear
6.3 Net sale price: no clear difference
The average is $856K for homes with a view and $640K 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 $259 per SF for homes with a view and $244 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 3,273 SF for homes with a view and 2,667 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 2020 for homes with a view and 2016 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 26 days for homes with a view and 18 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 2.4% for homes with a view and 5.0% 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.
31% of homes with a view had a price cut before sale, against 47% of homes without a view. Defined in 8.1.7.
44% of homes with a view had the seller pay closing costs or repairs, against 53% 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
View16 sales
No view19 sales
All35 sales
Real difference?
Net sale price average
$855,623
$639,737
$738,428
unclear
Net price per SF average
$259
$244
$251
unclear
Living area average
3,273
2,667
2,944
unclear
Year built median
2020
2016
2017
unclear
6.11 The numbers: selling
View16 sales
No view19 sales
All35 sales
Real difference?
Days on market median
26
18
24
unclear
Discount from original list average
2.4%
5.0%
3.8%
unclear
Price cut before sale
31%
47%
40%
unclear
Seller paid closing costs or repairs
44%
53%
49%
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 · 20 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: 20 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 Sweetwater.
Measure
Average
Median
Sales
20
Net sale price
$917,390
$874,440
Net price per SF
$282
$273
Living area (SF)
3,232
3,235
Days on market
49
36
Discount from original list
7.7%
7.8%
Price cut before sale
40% of sales
Seller paid closing costs or repairs
30% of sales
Year built
2024–2026
Same definitions as the rest of the study (section 8). New construction = NewConstructionYN true, or PropertyCondition “New Construction” or “Under Construction”.
8. AppendixMeasures, methods and tests
Each measure and method three ways: in plain words, as statistics, and with the data from this study.
8.1 Measures
8.1.1 Net sale price
In simple terms
What the seller actually kept: the closing price, less money the seller gave back to the buyer for closing costs or repairs. It is the truest price for comparing homes.
Statistically
Net = ClosePrice − ACTRIS_BuyersClsgCostPdbySell − ACTRIS_RepairsAmount (a blank counts as $0). Summarized by the arithmetic mean in the slices.
The data
35 resale sales. Average $738,428; median $665,000; standard deviation $288,078; middle half (25th–75th percentile) $539,500–$821,350; lowest $440,330, highest $2,000,000. 17 sales had a seller payment; their median payment was $3,000.
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
35 resale sales. Average $251; median $241; standard deviation $39; middle half (25th–75th percentile) $230–$267; lowest $204, highest $411.
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
35 resale sales. Average 2,944; median 2,684; standard deviation 937; middle half (25th–75th percentile) 2,256–3,546; lowest 1,723, highest 6,011.
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
35 resale sales. Average 2017; median 2017; standard deviation 4; middle half (25th–75th percentile) 2014–2020; lowest 2012, highest 2024.
8.1.5 Days on market
In simple terms
How many days the home was on the market before the buyer's offer was accepted, counting any earlier listing periods (relists). This is the days on market agents and clients quote.
Statistically
CDOM = max(CumulativeDaysOnMarket, DaysOnMarket, PurchaseContractDate − ListingContractDate). The MLS counter can freeze at a price change, so the contract-date gap is a floor. Summarized by the median, because a few homes that sat for months pull an average up.
The data
35 resale sales. Average 58; median 24; standard deviation 91; middle half (25th–75th percentile) 10–58; lowest 3, highest 459. 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
35 resale sales. Average 3.8%; median 3.0%; standard deviation 4.9%; middle half (25th–75th percentile) 0.3%–5.5%; lowest −8.2%, highest 16.9%. 6 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
14 of 35 resale sales (40.0%).
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
17 of 35 resale sales (48.6%).
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
16 sales with a view, 19 without, 0 unclassified. Most common View entries: Neighborhood 15, Hill Country 13, None 11, Park/Greenbelt 11, Trees/Woods 10, Panoramic 6, Canyon 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 = Austin, SubdivisionName contains any of “sweetwater” (case-insensitive). A record is kept when its subdivision name belongs to the Sweetwater family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 55 closed Sweetwater records over the prior year, in ZIP 78738. 4 subdivision spellings kept: Sweetwater (48); Sweetwater Sec 1 Village G-1 (4); Sweetwater Sec 1 Village H (2); Sweetwater Sec 1 Village G-2 (1). Names found by the search but not part of Sweetwater, left out: Sweetwater Ranch Sec 1 Village (11); Sweetwater Glen Condo Amd (8); Sweetwater Ranch (7); Sweetwater Vlgs C&D Sec 2 (6); Sweetwater Ranch Sec 2 Vlgs C (4); Sweetwater Ranch Sec 1 Village L P (3); Sweetwater Ranch Sec 2 Village N (2); Sweetwater Ranch Sec 2 Village P3A (2); Sweetwater Ranch Sec 2 Village (2); Sweetwater Ranch Sec 2 Vlgs M (2); Sweetwater Ranch Sec 2 Village E1 (1); Sweetwater Ranch Sec 2 Village O (1); Sweetwater Ranch Sec 2 Village P2 (1); Madrone Ridge at Sweetwater (1); SWEETWATER RANCH SEC 2 (1); Sweetwater Ranch Sec 2 Village P3B (1); Sweetwater Ranch Sec 2 Vlgs C& (1); Sweetwater Ranch Sec 2 Vlg B (1); SWEETWATER RANCH (1); Sweetwater Ranch Sec 2 Village B (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 16 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
55 single-family sales in the window: 35 resale, 20 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
35 resale; 20 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 $540K”.
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 $540K: $440,330–$539,000 (9 sales); $540K–$665K: $540,000–$665,000 (9 sales); $744K–$818K: $743,500–$818,500 (8 sales); Over $818K: $824,200–$2,000,000 (9 sales) Quartiles by living area: Under 2,288 SF: 1,723–2,224 SF (9 sales); 2,288–2,684 SF: 2,288–2,684 SF (9 sales); 2,837–3,524 SF: 2,837–3,524 SF (8 sales); Over 3,524 SF: 3,568–6,011 SF (9 sales) Quartiles by year built: Before 2014: 2012–2013 (9 sales); 2014–2017: 2014–2017 (9 sales); 2018–2020: 2018–2020 (8 sales); After 2020: 2021–2024 (9 sales) View and no view: View: MLS lists a view (16 sales); No view: None or Neighborhood (19 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 $738,428, median $665,000. Days on market: average 58, median 24: 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 = 3.19
3
0.3626
p < 0.0063
Unclear
ε² = 0.094
medium
Living area
Kruskal–Wallis
H = 28.14
3
< 0.0001
p < 0.0063
Yes
ε² = 0.828
large
Year built
Kruskal–Wallis
H = 6.38
3
0.0945
p < 0.0063
Unclear
ε² = 0.188
large
Days on market
Kruskal–Wallis
H = 0.30
3
0.9598
p < 0.0063
Unclear
ε² = 0.009
negligible
Discount from original list
Kruskal–Wallis
H = 2.15
3
0.5410
p < 0.0063
Unclear
ε² = 0.063
medium
Price cut before sale
Chi-square
χ² = 1.90
3
0.5938
p < 0.0063
Unclear
Cramér’s V = 0.233
small
Seller paid closing costs or repairs
Chi-square
χ² = 1.70
3
0.6380
p < 0.0063
Unclear
Cramér’s V = 0.220
small
Has a view
Chi-square
χ² = 6.35
3
0.0960
p < 0.0063
Unclear
Cramér’s V = 0.426
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 = 26.09
3
< 0.0001
p < 0.0063
Yes
ε² = 0.767
large
Net price per SF
Kruskal–Wallis
H = 3.99
3
0.2621
p < 0.0063
Unclear
ε² = 0.117
medium
Year built
Kruskal–Wallis
H = 4.86
3
0.1825
p < 0.0063
Unclear
ε² = 0.143
large
Days on market
Kruskal–Wallis
H = 1.64
3
0.6501
p < 0.0063
Unclear
ε² = 0.048
small
Discount from original list
Kruskal–Wallis
H = 1.66
3
0.6467
p < 0.0063
Unclear
ε² = 0.049
small
Price cut before sale
Chi-square
χ² = 1.90
3
0.5938
p < 0.0063
Unclear
Cramér’s V = 0.233
small
Seller paid closing costs or repairs
Chi-square
χ² = 2.08
3
0.5551
p < 0.0063
Unclear
Cramér’s V = 0.244
small
Has a view
Chi-square
χ² = 2.76
3
0.4296
p < 0.0063
Unclear
Cramér’s V = 0.281
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 = 2.37
3
0.4992
p < 0.0063
Unclear
ε² = 0.070
medium
Net price per SF
Kruskal–Wallis
H = 12.75
3
0.0052
p < 0.0063
Yes
ε² = 0.375
large
Living area
Kruskal–Wallis
H = 4.09
3
0.2523
p < 0.0063
Unclear
ε² = 0.120
medium
Days on market
Kruskal–Wallis
H = 3.04
3
0.3852
p < 0.0063
Unclear
ε² = 0.089
medium
Discount from original list
Kruskal–Wallis
H = 2.03
3
0.5668
p < 0.0063
Unclear
ε² = 0.060
small
Price cut before sale
Chi-square
χ² = 0.34
3
0.9532
p < 0.0063
Unclear
Cramér’s V = 0.098
negligible
Seller paid closing costs or repairs
Chi-square
χ² = 4.36
3
0.2248
p < 0.0063
Unclear
Cramér’s V = 0.353
medium
Has a view
Chi-square
χ² = 2.76
3
0.4296
p < 0.0063
Unclear
Cramér’s V = 0.281
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 = 219.00
—
0.0276
p < 0.0063
Unclear
rank-biserial r = 0.441
medium
Net price per SF
Mann–Whitney U
U = 178.00
—
0.3985
p < 0.0063
Unclear
rank-biserial r = 0.171
small
Living area
Mann–Whitney U
U = 209.00
—
0.0614
p < 0.0063
Unclear
rank-biserial r = 0.375
medium
Year built
Mann–Whitney U
U = 190.00
—
0.2093
p < 0.0063
Unclear
rank-biserial r = 0.250
small
Days on market
Mann–Whitney U
U = 139.00
—
0.6786
p < 0.0063
Unclear
rank-biserial r = 0.086
negligible
Discount from original list
Mann–Whitney U
U = 115.00
—
0.2267
p < 0.0063
Unclear
rank-biserial r = 0.243
small
Price cut before sale
Chi-square
χ² = 0.94
1
0.3322
p < 0.0063
Unclear
Cramér’s V = 0.164
small
Seller paid closing costs or repairs
Chi-square
χ² = 0.27
1
0.6005
p < 0.0063
Unclear
Cramér’s V = 0.089
negligible
8.4 Data notes
Left out of the analysis: 20 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.