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, 180 days
442
single-family resale homes
Median net sale price
$412,750
average $500,510
Median net price per SF
$213
average $228
Median days on market
45 days
average 78 days
1. SummaryResale homes · 442 sales · May 4, 2026 – October 30, 2026
This study looks at the 442 resale homes sold in ZIP 78633 in the 180 days to October 30, 2026. 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 sold442 resale homes · colored by price range
Each dot is one resale home, colored by its price range. The map is drawn around the middle 99% of sales; 7 sales with map points far outside the area are left off it (they stay in every figure). 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 · 442 sales · May 4, 2026 – October 30, 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 $574K are about 1,520 SF (104%) larger than homes under $326K.
Homes over $574K sell for about $104 per SF (53%) more than homes under $326K.
77% of homes over $574K have a view, against 41% of homes under $326K.
Homes over $574K sell about 3 percentage points closer to their first asking price than homes under $326K.
3.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under $326K$326K–$412K$414K–$574KOver $574K
Higher-priced homes Over $574K
Are much larger.
Sell for more per square foot.
Are more likely to have a view.
Sell closer to their first asking price.
Sell faster.
Lower-priced homes Under $326K
Are much smaller.
Sell for less per square foot.
Are less likely to have a view.
Sell further below their first asking price.
Take longer to sell.
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 $326K
$326K–$412K
$414K–$574K
Over $574K
Real difference?
Net price per SF
$197 per SFLowest
$198 per SF
$218 per SF
$302 per SFHighest
✓ large
Living area
1,467 SFSmallest
1,884 SF
2,241 SF
2,990 SFLargest
✓ large
Year built
2006
2006
2006
2008
unclear
Days on market
67 daysSlowest
48 days
26 daysFastest
46 days
✓ small
Discount from original list
8.2%Biggest
5.7%
4.6%Smallest
4.9%
✓ small
Price cut before sale
57%
47%
41%
36%
unclear
Seller paid closing costs or repairs
63%
62%
63%
47%
unclear
Has a view
41%Fewest
50%
54%
77%Most
✓ small
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 $574K sell for about $104 per SF (53%) more than homes under $326K
The average is $302 per SF for homes over $574K and $197 per SF for homes under $326K. It rises step by step from the lowest range to the highest. Defined in 8.1.2.
✓ Real difference · large
3.4 Homes over $574K are about 1,520 SF (104%) larger than homes under $326K
The average is 2,990 SF for homes over $574K and 1,467 SF for homes under $326K. 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 2008 for homes over $574K and 2006 for homes under $326K. It rises step by step from the lowest range to the highest. Defined in 8.1.4.
– No clear difference · could be chance
3.6 Homes over $574K sell 21 days faster than homes under $326K
The median is 46 days for homes over $574K and 67 days for homes under $326K. It does not move in a straight line; homes under $326K are highest. Defined in 8.1.5.
✓ Real difference · small
3.7 Homes over $574K sell about 3 percentage points closer to their first asking price than homes under $326K
The average is 4.9% for homes over $574K and 8.2% for homes under $326K. It does not move in a straight line; homes under $326K are highest. Defined in 8.1.6.
✓ Real difference · small
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.
36% of homes over $574K had a price cut before sale, against 57% of homes under $326K. Defined in 8.1.7.
47% of homes over $574K had the seller pay closing costs or repairs, against 63% of homes under $326K. Defined in 8.1.8.
77% of homes over $574K have a view, against 41% of homes under $326K. 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 · small
3.9 The numbers: price and size
Under $326K110 sales
$326K–$412K111 sales
$414K–$574K111 sales
Over $574K110 sales
All442 sales
Real difference?
Net sale price average
$286,181
$365,748
$479,516
$872,010
$500,510
by design
Net price per SF average
$197
$198
$218
$302
$228
✓ large
Living area average
1,467
1,884
2,241
2,990
2,145
✓ large
Year built median
2006
2006
2006
2008
2006
unclear
3.10 The numbers: selling
Under $326K110 sales
$326K–$412K111 sales
$414K–$574K111 sales
Over $574K110 sales
All442 sales
Real difference?
Days on market median
67
48
26
46
45
✓ small
Discount from original list average
8.2%
5.7%
4.6%
4.9%
5.8%
✓ small
Price cut before sale
57%
47%
41%
36%
45%
unclear
Seller paid closing costs or repairs
63%
62%
63%
47%
59%
unclear
Has a view
41%
50%
54%
77%
55%
✓ small
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 · 442 sales · May 4, 2026 – October 30, 2026
Sales ranked by living area and cut into four equal groups, from the smallest homes to the largest.
Bottom line
Homes over 2,536 SF sell for about $511K (165%) more than homes under 1,608 SF.
Homes over 2,536 SF sell for about $28 per SF (12%) more than homes under 1,608 SF.
Homes over 2,536 SF are about 5 years newer than homes under 1,608 SF.
4.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under 1,608 SF1,608–1,978 SF1,981–2,536 SFOver 2,536 SF
Larger homes Over 2,536 SF
Sell for much more.
Sell for more per square foot.
Tend to be newer.
Smaller homes Under 1,608 SF
Sell for much less.
Sell for less per square foot.
Tend to be older.
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 1,608 SF
1,608–1,978 SF
1,981–2,536 SF
Over 2,536 SF
Real difference?
Net sale price
$309KLowest
$385K
$490K
$820KHighest
✓ large
Net price per SF
$228 per SF
$213 per SFLowest
$218 per SF
$255 per SFHighest
✓ medium
Year built
2006
2006
2004Oldest
2011Newest
✓ small
Days on market
51 days
32 days
49 days
48 days
unclear
Discount from original list
6.5%
5.9%
5.2%
5.6%
unclear
Price cut before sale
52%
43%
50%
37%
unclear
Seller paid closing costs or repairs
65%
54%
63%
54%
unclear
Has a view
46%
56%
53%
66%
unclear
4.3 Homes over 2,536 SF sell for about $511K (165%) more than homes under 1,608 SF
The average is $820K for homes over 2,536 SF and $309K for homes under 1,608 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 2,536 SF sell for about $28 per SF (12%) more than homes under 1,608 SF
The average is $255 per SF for homes over 2,536 SF and $228 per SF for homes under 1,608 SF. It does not move in a straight line; homes over 2,536 SF are highest. Defined in 8.1.2.
✓ Real difference · medium
4.5 Homes over 2,536 SF are about 5 years newer than homes under 1,608 SF
The median is 2011 for homes over 2,536 SF and 2006 for homes under 1,608 SF. It does not move in a straight line; homes over 2,536 SF are highest. Defined in 8.1.4.
✓ Real difference · small
4.6 Days on market: no clear difference
The median is 48 days for homes over 2,536 SF and 51 days for homes under 1,608 SF. It does not move in a straight line; homes under 1,608 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 5.6% for homes over 2,536 SF and 6.5% for homes under 1,608 SF. It does not move in a straight line; homes under 1,608 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.
37% of homes over 2,536 SF had a price cut before sale, against 52% of homes under 1,608 SF. Defined in 8.1.7.
54% of homes over 2,536 SF had the seller pay closing costs or repairs, against 65% of homes under 1,608 SF. Defined in 8.1.8.
66% of homes over 2,536 SF have a view, against 46% of homes under 1,608 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 1,608 SF111 sales
1,608–1,978 SF110 sales
1,981–2,536 SF111 sales
Over 2,536 SF110 sales
All442 sales
Real difference?
Net sale price average
$309,051
$384,613
$490,025
$820,185
$500,510
✓ large
Net price per SF average
$228
$213
$218
$255
$228
✓ medium
Living area average
1,409
1,805
2,246
3,126
2,145
by design
Year built median
2006
2006
2004
2011
2006
✓ small
4.10 The numbers: selling
Under 1,608 SF111 sales
1,608–1,978 SF110 sales
1,981–2,536 SF111 sales
Over 2,536 SF110 sales
All442 sales
Real difference?
Days on market median
51
32
49
48
45
unclear
Discount from original list average
6.5%
5.9%
5.2%
5.6%
5.8%
unclear
Price cut before sale
52%
43%
50%
37%
45%
unclear
Seller paid closing costs or repairs
65%
54%
63%
54%
59%
unclear
Has a view
46%
56%
53%
66%
55%
unclear
Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.2.
5. Quartiles by year builtResale homes · 442 sales · May 4, 2026 – October 30, 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
46% of homes built after 2015 have a view, against 50% of homes built before 2000.
Homes built after 2015 sell for about $5 per SF (2%) less than homes built before 2000.
5.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Before 20002000–20062007–2015After 2015
Newer homes After 2015
Are less likely to have a view.
Sell for less per square foot.
Older homes Before 2000
Are more likely to have a view.
Sell for more 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 2000
2000–2006
2007–2015
After 2015
Real difference?
Net sale price
$462K
$465K
$539K
$539K
unclear
Net price per SF
$242 per SFHighest
$211 per SFLowest
$227 per SF
$236 per SF
✓ small
Living area
2,001 SF
2,143 SF
2,237 SF
2,196 SF
unclear
Days on market
43 days
43 days
46 days
54 days
unclear
Discount from original list
6.5%
6.3%
4.9%
5.5%
unclear
Price cut before sale
51%
42%
36%
53%
unclear
Seller paid closing costs or repairs
56%
66%
60%
54%
unclear
Has a view
50%
52%
75%Most
46%Fewest
✓ small
5.3 Net sale price: no clear difference
The average is $539K for homes built after 2015 and $462K for homes built before 2000. It does not move in a straight line; homes built 2007–2015 are highest. Defined in 8.1.1.
– No clear difference · could be chance
5.4 Homes built after 2015 sell for about $5 per SF (2%) less than homes built before 2000
The average is $236 per SF for homes built after 2015 and $242 per SF for homes built before 2000. It does not move in a straight line; homes built before 2000 are highest. Defined in 8.1.2.
✓ Real difference · small
5.5 Living area: no clear difference
The average is 2,196 SF for homes built after 2015 and 2,001 SF for homes built before 2000. It does not move in a straight line; homes built 2007–2015 are highest. Defined in 8.1.3.
– No clear difference · could be chance
5.6 Days on market: no clear difference
The median is 54 days for homes built after 2015 and 43 days for homes built before 2000. It rises step by step from the lowest range to the highest. Defined in 8.1.5.
– No clear difference · could be chance
5.7 Discount from original list: no clear difference
The average is 5.5% for homes built after 2015 and 6.5% for homes built before 2000. It does not move in a straight line; homes built before 2000 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.
53% of homes built after 2015 had a price cut before sale, against 51% of homes built before 2000. Defined in 8.1.7.
54% of homes built after 2015 had the seller pay closing costs or repairs, against 56% of homes built before 2000. Defined in 8.1.8.
46% of homes built after 2015 have a view, against 50% of homes built before 2000. 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 · small
5.9 The numbers: price and size
Before 2000104 sales
2000–2006122 sales
2007–2015102 sales
After 2015114 sales
All442 sales
Real difference?
Net sale price average
$462,062
$464,927
$539,371
$538,893
$500,510
unclear
Net price per SF average
$242
$211
$227
$236
$228
✓ small
Living area average
2,001
2,143
2,237
2,196
2,145
unclear
Year built median
1997
2004
2011
2020
2006
by design
5.10 The numbers: selling
Before 2000104 sales
2000–2006122 sales
2007–2015102 sales
After 2015114 sales
All442 sales
Real difference?
Days on market median
43
43
46
54
45
unclear
Discount from original list average
6.5%
6.3%
4.9%
5.5%
5.8%
unclear
Price cut before sale
51%
42%
36%
53%
45%
unclear
Seller paid closing costs or repairs
56%
66%
60%
54%
59%
unclear
Has a view
50%
52%
75%
46%
55%
✓ small
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 · 442 sales · May 4, 2026 – October 30, 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. 9 sales whose MLS view entry is only “See Remarks” are left out.
Bottom line
Homes with a view sell for about $37 per SF (18%) more than homes without a view.
Homes with a view sell for about $131K (31%) more than homes without a view.
Homes with a view sell 14 days faster than homes without a view.
6.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
ViewNo view
Homes with a view MLS lists a view
Sell for more per square foot.
Sell for more.
Sell faster.
Homes without a view no view listed
Sell for less per square foot.
Sell for less.
Take longer to sell.
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
$558KHighest
$427KLowest
✓ small
Net price per SF
$245 per SFHighest
$208 per SFLowest
✓ medium
Living area
2,233 SF
2,037 SF
unclear
Year built
2007
2005
unclear
Days on market
39 daysFastest
52 daysSlowest
✓ small
Discount from original list
5.3%
6.4%
unclear
Price cut before sale
41%
51%
unclear
Seller paid closing costs or repairs
59%
57%
unclear
6.3 Homes with a view sell for about $131K (31%) more than homes without a view
The average is $558K for homes with a view and $427K for homes without a view. Defined in 8.1.1.
✓ Real difference · small
6.4 Homes with a view sell for about $37 per SF (18%) more than homes without a view
The average is $245 per SF for homes with a view and $208 per SF for homes without a view. Defined in 8.1.2.
✓ Real difference · medium
6.5 Living area: no clear difference
The average is 2,233 SF for homes with a view and 2,037 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 2007 for homes with a view and 2005 for homes without a view. Defined in 8.1.4.
– No clear difference · could be chance
6.7 Homes with a view sell 14 days faster than homes without a view
The median is 39 days for homes with a view and 52 days for homes without a view. Defined in 8.1.5.
✓ Real difference · small
6.8 Discount from original list: no clear difference
The average is 5.3% for homes with a view and 6.4% 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.
41% of homes with a view had a price cut before sale, against 51% of homes without a view. Defined in 8.1.7.
59% of homes with a view had the seller pay closing costs or repairs, against 57% of homes without a view. Defined in 8.1.8.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
6.10 The numbers: price and size
View245 sales
No view188 sales
All433 sales
Real difference?
Net sale price average
$558,365
$427,094
$501,370
✓ small
Net price per SF average
$245
$208
$229
✓ medium
Living area average
2,233
2,037
2,148
unclear
Year built median
2007
2005
2006
unclear
6.11 The numbers: selling
View245 sales
No view188 sales
All433 sales
Real difference?
Days on market median
39
52
45
✓ small
Discount from original list average
5.3%
6.4%
5.8%
unclear
Price cut before sale
41%
51%
45%
unclear
Seller paid closing costs or repairs
59%
57%
58%
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 · 154 sales · May 4, 2026 – October 30, 2026
Homes sold new by the builder in the same 180 days. They are left out of every other section and shown here as basic figures only: 154 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 ZIP 78633.
Measure
Average
Median
Sales
154
Net sale price
$498,678
$468,242
Net price per SF
$195
$192
Living area (SF)
2,571
2,598
Days on market
119
86
Discount from original list
10.2%
8.8%
Price cut before sale
69% of sales
Seller paid closing costs or repairs
69% 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
442 resale sales. Average $500,510; median $412,750; standard deviation $307,485; middle half (25th–75th percentile) $326,425–$573,451; lowest $203,450, highest $4,365,000. 260 sales had a seller payment; their median payment was $2,498.
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
442 resale sales. Average $228; median $213; standard deviation $90; middle half (25th–75th percentile) $193–$246; lowest $128, highest $1,530.
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
442 resale sales. Average 2,145; median 1,980; standard deviation 730; middle half (25th–75th percentile) 1,607–2,535; lowest 768, highest 7,077.
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 parts of the area.
Statistically
RESO YearBuilt; summarized by the median, with the 25th–75th percentile (middle half) on the charts.
The data
442 resale sales. Average 2007; median 2006; standard deviation 9; middle half (25th–75th percentile) 2000–2016; lowest 1945, highest 2026.
8.1.5 Days on market
In simple terms
How many days the home was on the market before the buyer's offer was accepted, counting any earlier listing periods (relists). This is the days on market agents and clients quote.
Statistically
CDOM = max(CumulativeDaysOnMarket, DaysOnMarket, PurchaseContractDate − ListingContractDate). The MLS counter can freeze at a price change, so the contract-date gap is a floor. Summarized by the median, because a few homes that sat for months pull an average up.
The data
442 resale sales. Average 78; median 45; standard deviation 101; middle half (25th–75th percentile) 11–104; lowest 0, highest 722. 20 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
442 resale sales. Average 5.8%; median 4.5%; standard deviation 6.0%; middle half (25th–75th percentile) 1.5%–8.6%; lowest −6.9%, highest 33.1%. 25 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
201 of 442 resale sales (45.5%).
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
260 of 442 resale sales (58.8%).
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
245 sales with a view, 188 without, 9 unclassified. Most common View entries: Park/Greenbelt 148, Neighborhood 125, Trees/Woods 114, None 106, Golf Course 34, Hill Country 33, See Remarks 18, Panoramic 16.
8.2 Methods
8.2.1 Data source
In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
ABOR MLS via secure APIs, read from ALEX's copy of the MLS (refreshed every 15 minutes; this pull as of 2026-10-31 20:30 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, PostalCode = 78633.
The data
Pulled October 31, 2026: 1,193 closed ZIP 78633 records over the prior year. Cities: Georgetown (1,192); Florence (1). ZIP codes: 1, the most sales in 78633.
8.2.2 Study window
In simple terms
The most recent 180 days of closed sales: recent enough to describe today's market, long enough to give each group plenty of sales.
Statistically
CloseDate from May 4, 2026 to October 30, 2026 inclusive.
The data
596 single-family sales in the window: 442 resale, 154 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
442 resale; 154 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
2 sale(s) other than single-family homes (condo, townhome and similar); 1 sale(s) with no original list price
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 $326K”.
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 $326K: $203,450–$325,400 (110 sales); $326K–$412K: $326,000–$412,000 (111 sales); $414K–$574K: $413,500–$573,601 (111 sales); Over $574K: $574,000–$4,365,000 (110 sales) Quartiles by living area: Under 1,608 SF: 768–1,607 SF (111 sales); 1,608–1,978 SF: 1,608–1,978 SF (110 sales); 1,981–2,536 SF: 1,981–2,536 SF (111 sales); Over 2,536 SF: 2,545–7,077 SF (110 sales) Quartiles by year built: Before 2000: 1945–1999 (104 sales); 2000–2006: 2000–2006 (122 sales); 2007–2015: 2007–2015 (102 sales); After 2015: 2016–2026 (114 sales) View and no view: View: MLS lists a view (245 sales); No view: None or Neighborhood (188 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 $500,510, median $412,750. Days on market: average 78, median 45: 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
13 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 = 205.85
3
< 0.0001
p < 0.0063
Yes
ε² = 0.467
large
Living area
Kruskal–Wallis
H = 311.42
3
< 0.0001
p < 0.0063
Yes
ε² = 0.706
large
Year built
Kruskal–Wallis
H = 1.50
3
0.6832
p < 0.0063
Unclear
ε² = 0.003
negligible
Days on market
Kruskal–Wallis
H = 15.78
3
0.0013
p < 0.0063
Yes
ε² = 0.036
small
Discount from original list
Kruskal–Wallis
H = 26.40
3
< 0.0001
p < 0.0063
Yes
ε² = 0.060
small
Price cut before sale
Chi-square
χ² = 10.67
3
0.0136
p < 0.0063
Unclear
Cramér’s V = 0.155
small
Seller paid closing costs or repairs
Chi-square
χ² = 8.09
3
0.0443
p < 0.0063
Unclear
Cramér’s V = 0.135
small
Has a view
Chi-square
χ² = 32.27
3
< 0.0001
p < 0.0063
Yes
Cramér’s V = 0.270
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 = 315.06
3
< 0.0001
p < 0.0063
Yes
ε² = 0.714
large
Net price per SF
Kruskal–Wallis
H = 44.05
3
< 0.0001
p < 0.0063
Yes
ε² = 0.100
medium
Year built
Kruskal–Wallis
H = 16.54
3
0.0009
p < 0.0063
Yes
ε² = 0.037
small
Days on market
Kruskal–Wallis
H = 5.57
3
0.1345
p < 0.0063
Unclear
ε² = 0.013
small
Discount from original list
Kruskal–Wallis
H = 4.94
3
0.1766
p < 0.0063
Unclear
ε² = 0.011
small
Price cut before sale
Chi-square
χ² = 6.12
3
0.1060
p < 0.0063
Unclear
Cramér’s V = 0.118
small
Seller paid closing costs or repairs
Chi-square
χ² = 4.94
3
0.1762
p < 0.0063
Unclear
Cramér’s V = 0.106
small
Has a view
Chi-square
χ² = 9.64
3
0.0219
p < 0.0063
Unclear
Cramér’s V = 0.148
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 = 6.57
3
0.0870
p < 0.0063
Unclear
ε² = 0.015
small
Net price per SF
Kruskal–Wallis
H = 19.19
3
0.0002
p < 0.0063
Yes
ε² = 0.044
small
Living area
Kruskal–Wallis
H = 4.03
3
0.2580
p < 0.0063
Unclear
ε² = 0.009
negligible
Days on market
Kruskal–Wallis
H = 1.20
3
0.7533
p < 0.0063
Unclear
ε² = 0.003
negligible
Discount from original list
Kruskal–Wallis
H = 2.52
3
0.4715
p < 0.0063
Unclear
ε² = 0.006
negligible
Price cut before sale
Chi-square
χ² = 7.76
3
0.0512
p < 0.0063
Unclear
Cramér’s V = 0.133
small
Seller paid closing costs or repairs
Chi-square
χ² = 4.07
3
0.2545
p < 0.0063
Unclear
Cramér’s V = 0.096
negligible
Has a view
Chi-square
χ² = 22.25
3
< 0.0001
p < 0.0063
Yes
Cramér’s V = 0.224
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 = 29,493.50
—
< 0.0001
p < 0.0063
Yes
rank-biserial r = 0.281
small
Net price per SF
Mann–Whitney U
U = 30,808.50
—
< 0.0001
p < 0.0063
Yes
rank-biserial r = 0.338
medium
Living area
Mann–Whitney U
U = 26,398.50
—
0.0091
p < 0.0063
Unclear
rank-biserial r = 0.146
small
Year built
Mann–Whitney U
U = 24,288.50
—
0.3293
p < 0.0063
Unclear
rank-biserial r = 0.055
negligible
Days on market
Mann–Whitney U
U = 19,210.00
—
0.0031
p < 0.0063
Yes
rank-biserial r = 0.166
small
Discount from original list
Mann–Whitney U
U = 20,438.50
—
0.0447
p < 0.0063
Unclear
rank-biserial r = 0.113
small
Price cut before sale
Chi-square
χ² = 4.51
1
0.0337
p < 0.0063
Unclear
Cramér’s V = 0.102
small
Seller paid closing costs or repairs
Chi-square
χ² = 0.13
1
0.7162
p < 0.0063
Unclear
Cramér’s V = 0.017
negligible
8.4 Data notes
Left out of the analysis: 154 new-construction sales (basic statistics only, section 7); 2 sale(s) other than single-family homes (condo, townhome and similar); 1 sale(s) with no original list price. 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.