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
11,909
single-family resale homes
Median net sale price
$458,000
average $626,581
Median net price per SF
$219
average $260
Median days on market
44 days
average 77 days
1. SummaryResale homes · 11,909 sales · May 4, 2026 – October 30, 2026
This study looks at the 11,909 resale homes sold in ABOR / Unlock MLS Region 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 sold11,909 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; 200 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 · 11,909 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 $719K sell for about $226 per SF (132%) more than homes under $329K.
Homes over $719K are about 1,700 SF (106%) larger than homes under $329K.
65% of homes over $719K have a view, against 18% of homes under $329K.
49% of homes over $719K had the seller pay closing costs or repairs, against 64% of homes under $329K.
3.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under $329K$329K–$458K$458K–$719KOver $719K
Higher-priced homes Over $719K
Sell for more per square foot.
Are much larger.
Are more likely to have a view.
Less often have the seller pay buyer costs or repairs.
Are less likely to need a price cut.
Sell closer to their first asking price.
Sell faster.
Lower-priced homes Under $329K
Sell for less per square foot.
Are much smaller.
Are less likely to have a view.
More often have the seller pay buyer costs or repairs.
Are more likely to have had a price cut.
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 $329K
$329K–$458K
$458K–$719K
Over $719K
Real difference?
Net price per SF
$171 per SFLowest
$208 per SF
$262 per SF
$397 per SFHighest
✓ large
Living area
1,609 SFSmallest
1,999 SF
2,367 SF
3,313 SFLargest
✓ large
Year built
2004
2006Newest
2003Oldest
2004
✓ negligible
Days on market
53 daysSlowest
45 days
37 daysFastest
41 days
✓ negligible
Discount from original list
9.4%Biggest
6.8%
5.8%Smallest
6.9%
✓ small
Price cut before sale
56%Most
51%
45%
41%Fewest
✓ small
Seller paid closing costs or repairs
64%Most
63%
59%
49%Fewest
✓ small
Has a view
18%Fewest
27%
40%
65%Most
✓ medium
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 $719K sell for about $226 per SF (132%) more than homes under $329K
The average is $397 per SF for homes over $719K and $171 per SF for homes under $329K. It rises step by step from the lowest range to the highest. Defined in 8.1.2.
✓ Real difference · large
3.4 Homes over $719K are about 1,700 SF (106%) larger than homes under $329K
The average is 3,313 SF for homes over $719K and 1,609 SF for homes under $329K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.
✓ Real difference · large
3.5 Homes over $719K and homes under $329K are the same on year built
The median is 2004 for homes over $719K and 2004 for homes under $329K. It does not move in a straight line; homes $329K–$458K are highest. Defined in 8.1.4.
✓ Real difference · negligible
3.6 Homes over $719K sell 12 days faster than homes under $329K
The median is 41 days for homes over $719K and 53 days for homes under $329K. It does not move in a straight line; homes under $329K are highest. Defined in 8.1.5.
✓ Real difference · negligible
3.7 Homes over $719K sell about 2 percentage points closer to their first asking price than homes under $329K
The average is 6.9% for homes over $719K and 9.4% for homes under $329K. It does not move in a straight line; homes under $329K 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.
41% of homes over $719K had a price cut before sale, against 56% of homes under $329K. Defined in 8.1.7.
49% of homes over $719K had the seller pay closing costs or repairs, against 64% of homes under $329K. Defined in 8.1.8.
65% of homes over $719K have a view, against 18% of homes under $329K. Defined in 8.1.9.
Price cut before sale: ✓ Real difference · small
Seller paid closing costs or repairs: ✓ Real difference · small
Has a view: ✓ Real difference · medium
3.9 The numbers: price and size
Under $329K2,977 sales
$329K–$458K2,977 sales
$458K–$719K2,977 sales
Over $719K2,978 sales
All11,909 sales
Real difference?
Net sale price average
$261,735
$387,660
$569,942
$1,286,764
$626,581
by design
Net price per SF average
$171
$208
$262
$397
$260
✓ large
Living area average
1,609
1,999
2,367
3,313
2,322
✓ large
Year built median
2004
2006
2003
2004
2004
✓ negligible
3.10 The numbers: selling
Under $329K2,977 sales
$329K–$458K2,977 sales
$458K–$719K2,977 sales
Over $719K2,978 sales
All11,909 sales
Real difference?
Days on market median
53
45
37
41
44
✓ negligible
Discount from original list average
9.4%
6.8%
5.8%
6.9%
7.2%
✓ small
Price cut before sale
56%
51%
45%
41%
48%
✓ small
Seller paid closing costs or repairs
64%
63%
59%
49%
59%
✓ small
Has a view
18%
27%
40%
65%
37%
✓ 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 8.3.1.
4. Quartiles by living areaResale homes · 11,909 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 2,786 SF sell for about $786K (229%) more than homes under 1,645 SF.
58% of homes over 2,786 SF have a view, against 23% of homes under 1,645 SF.
Homes over 2,786 SF are about 12 years newer than homes under 1,645 SF.
55% of homes over 2,786 SF had the seller pay closing costs or repairs, against 59% of homes under 1,645 SF.
4.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under 1,645 SF1,645–2,118 SF2,119–2,786 SFOver 2,786 SF
Larger homes Over 2,786 SF
Sell for much more.
Are more likely to have a view.
Tend to be newer.
Less often have the seller pay buyer costs or repairs.
Sell for more per square foot.
Sell closer to their first asking price.
Take longer to sell.
Smaller homes Under 1,645 SF
Sell for much less.
Are less likely to have a view.
Tend to be older.
More often have the seller pay buyer costs or repairs.
Sell for less per square foot.
Sell further below their first asking price.
Sell faster.
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 1,645 SF
1,645–2,118 SF
2,119–2,786 SF
Over 2,786 SF
Real difference?
Net sale price
$344KLowest
$445K
$588K
$1.13MHighest
✓ large
Net price per SF
$262 per SF
$237 per SFLowest
$242 per SF
$297 per SFHighest
✓ small
Year built
1995Oldest
2004
2006
2007Newest
✓ medium
Days on market
43 days
42 days
41 daysFastest
49 daysSlowest
✓ negligible
Discount from original list
8.3%Biggest
6.8%
6.6%Smallest
7.3%
✓ negligible
Price cut before sale
49%
49%
49%
47%
unclear
Seller paid closing costs or repairs
59%
62%Most
61%
55%Fewest
✓ negligible
Has a view
23%Fewest
30%
38%
58%Most
✓ small
4.3 Homes over 2,786 SF sell for about $786K (229%) more than homes under 1,645 SF
The average is $1.13M for homes over 2,786 SF and $344K for homes under 1,645 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 2,786 SF sell for about $34 per SF (13%) more than homes under 1,645 SF
The average is $297 per SF for homes over 2,786 SF and $262 per SF for homes under 1,645 SF. It does not move in a straight line; homes over 2,786 SF are highest. Defined in 8.1.2.
✓ Real difference · small
4.5 Homes over 2,786 SF are about 12 years newer than homes under 1,645 SF
The median is 2007 for homes over 2,786 SF and 1995 for homes under 1,645 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.4.
✓ Real difference · medium
4.6 Homes over 2,786 SF take 6 days longer to sell than homes under 1,645 SF
The median is 49 days for homes over 2,786 SF and 43 days for homes under 1,645 SF. It does not move in a straight line; homes over 2,786 SF are highest. Defined in 8.1.5.
✓ Real difference · negligible
4.7 Homes over 2,786 SF sell 1.0 percentage points closer to their first asking price than homes under 1,645 SF
The average is 7.3% for homes over 2,786 SF and 8.3% for homes under 1,645 SF. It does not move in a straight line; homes under 1,645 SF are highest. Defined in 8.1.6.
✓ Real difference · negligible
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.
47% of homes over 2,786 SF had a price cut before sale, against 49% of homes under 1,645 SF. Defined in 8.1.7.
55% of homes over 2,786 SF had the seller pay closing costs or repairs, against 59% of homes under 1,645 SF. Defined in 8.1.8.
58% of homes over 2,786 SF have a view, against 23% of homes under 1,645 SF. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: ✓ Real difference · negligible
Has a view: ✓ Real difference · small
4.9 The numbers: price and size
Under 1,645 SF2,978 sales
1,645–2,118 SF2,974 sales
2,119–2,786 SF2,983 sales
Over 2,786 SF2,974 sales
All11,909 sales
Real difference?
Net sale price average
$343,668
$445,045
$588,111
$1,129,996
$626,581
✓ large
Net price per SF average
$262
$237
$242
$297
$260
✓ small
Living area average
1,347
1,875
2,430
3,637
2,322
by design
Year built median
1995
2004
2006
2007
2004
✓ medium
4.10 The numbers: selling
Under 1,645 SF2,978 sales
1,645–2,118 SF2,974 sales
2,119–2,786 SF2,983 sales
Over 2,786 SF2,974 sales
All11,909 sales
Real difference?
Days on market median
43
42
41
49
44
✓ negligible
Discount from original list average
8.3%
6.8%
6.6%
7.3%
7.2%
✓ negligible
Price cut before sale
49%
49%
49%
47%
48%
unclear
Seller paid closing costs or repairs
59%
62%
61%
55%
59%
✓ negligible
Has a view
23%
30%
38%
58%
37%
✓ 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 8.3.2.
5. Quartiles by year builtResale homes · 11,909 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
56% of homes built after 2016 had a price cut before sale, against 42% of homes built before 1987.
Homes built after 2016 are about 590 SF (31%) larger than homes built before 1987.
60% of homes built after 2016 had the seller pay closing costs or repairs, against 52% of homes built before 1987.
39% of homes built after 2016 have a view, against 31% of homes built before 1987.
5.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Before 19871987–20042005–2016After 2016
Newer homes After 2016
Are more likely to have had a price cut.
Are larger.
More often have the seller pay buyer costs or repairs.
Are more likely to have a view.
Sell for less per square foot.
Take longer to sell.
Sell closer to their first asking price.
Sell for more.
Older homes Before 1987
Are less likely to need a price cut.
Are smaller.
Less often have the seller pay buyer costs or repairs.
Are less likely to have a view.
Sell for more per square foot.
Sell faster.
Sell further below their first asking price.
Sell for less.
5.2 At a glance
Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.
Before 1987
1987–2004
2005–2016
After 2016
Real difference?
Net sale price
$608KLowest
$635K
$637KHighest
$627K
✓ negligible
Net price per SF
$316 per SFHighest
$247 per SF
$236 per SFLowest
$239 per SF
✓ medium
Living area
1,870 SFSmallest
2,426 SF
2,539 SFLargest
2,458 SF
✓ medium
Days on market
37 days
36 daysFastest
46 days
55 daysSlowest
✓ small
Discount from original list
8.4%Biggest
6.8%Smallest
6.8%
6.9%
✓ negligible
Price cut before sale
42%Fewest
46%
49%
56%Most
✓ small
Seller paid closing costs or repairs
52%Fewest
61%
63%Most
60%
✓ negligible
Has a view
31%Fewest
40%Most
40%
39%
✓ negligible
5.3 Homes built after 2016 sell for about $19K (3%) more than homes built before 1987
The average is $627K for homes built after 2016 and $608K for homes built before 1987. It does not move in a straight line; homes built 2005–2016 are highest. Defined in 8.1.1.
✓ Real difference · negligible
5.4 Homes built after 2016 sell for about $77 per SF (24%) less than homes built before 1987
The average is $239 per SF for homes built after 2016 and $316 per SF for homes built before 1987. It does not move in a straight line; homes built before 1987 are highest. Defined in 8.1.2.
✓ Real difference · medium
5.5 Homes built after 2016 are about 590 SF (31%) larger than homes built before 1987
The average is 2,458 SF for homes built after 2016 and 1,870 SF for homes built before 1987. It does not move in a straight line; homes built 2005–2016 are highest. Defined in 8.1.3.
✓ Real difference · medium
5.6 Homes built after 2016 take 18 days longer to sell than homes built before 1987
The median is 55 days for homes built after 2016 and 37 days for homes built before 1987. It does not move in a straight line; homes built after 2016 are highest. Defined in 8.1.5.
✓ Real difference · small
5.7 Homes built after 2016 sell about 1 percentage point closer to their first asking price than homes built before 1987
The average is 6.9% for homes built after 2016 and 8.4% for homes built before 1987. It does not move in a straight line; homes built before 1987 are highest. Defined in 8.1.6.
✓ Real difference · negligible
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.
56% of homes built after 2016 had a price cut before sale, against 42% of homes built before 1987. Defined in 8.1.7.
60% of homes built after 2016 had the seller pay closing costs or repairs, against 52% of homes built before 1987. Defined in 8.1.8.
39% of homes built after 2016 have a view, against 31% of homes built before 1987. Defined in 8.1.9.
Price cut before sale: ✓ Real difference · small
Seller paid closing costs or repairs: ✓ Real difference · negligible
Has a view: ✓ Real difference · negligible
5.9 The numbers: price and size
Before 19872,985 sales
1987–20042,995 sales
2005–20162,935 sales
After 20162,994 sales
All11,909 sales
Real difference?
Net sale price average
$607,835
$635,231
$636,707
$626,690
$626,581
✓ negligible
Net price per SF average
$316
$247
$236
$239
$260
✓ medium
Living area average
1,870
2,426
2,539
2,458
2,322
✓ medium
Year built median
1974
1999
2010
2020
2004
by design
5.10 The numbers: selling
Before 19872,985 sales
1987–20042,995 sales
2005–20162,935 sales
After 20162,994 sales
All11,909 sales
Real difference?
Days on market median
37
36
46
55
44
✓ small
Discount from original list average
8.4%
6.8%
6.8%
6.9%
7.2%
✓ negligible
Price cut before sale
42%
46%
49%
56%
48%
✓ small
Seller paid closing costs or repairs
52%
61%
63%
60%
59%
✓ negligible
Has a view
31%
40%
40%
39%
37%
✓ negligible
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 · 11,909 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. 303 sales whose MLS view entry is only “See Remarks” are left out.
Bottom line
Homes with a view sell for about $372K (77%) more than homes without a view.
Homes with a view sell for about $67 per SF (29%) more than homes without a view.
Homes with a view are about 610 SF (29%) larger than homes without a view.
Homes with a view take 7 days longer to sell 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.
Sell for more per square foot.
Are larger.
Take longer to sell.
Tend to be newer.
Less often have the seller pay buyer costs or repairs.
Sell further below their first asking price.
Homes without a view no view listed
Sell for less.
Sell for less per square foot.
Are smaller.
Sell faster.
Tend to be older.
More often have the seller pay buyer costs or repairs.
Sell closer to their first asking price.
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
$857KHighest
$485KLowest
✓ medium
Net price per SF
$301 per SFHighest
$234 per SFLowest
✓ medium
Living area
2,699 SFLargest
2,091 SFSmallest
✓ medium
Year built
2005Newest
2004Oldest
✓ negligible
Days on market
49 daysSlowest
42 daysFastest
✓ negligible
Discount from original list
7.7%Biggest
7.0%Smallest
✓ negligible
Price cut before sale
47%
49%
unclear
Seller paid closing costs or repairs
55%Fewest
62%Most
✓ negligible
6.3 Homes with a view sell for about $372K (77%) more than homes without a view
The average is $857K for homes with a view and $485K for homes without a view. Defined in 8.1.1.
✓ Real difference · medium
6.4 Homes with a view sell for about $67 per SF (29%) more than homes without a view
The average is $301 per SF for homes with a view and $234 per SF for homes without a view. Defined in 8.1.2.
✓ Real difference · medium
6.5 Homes with a view are about 610 SF (29%) larger than homes without a view
The average is 2,699 SF for homes with a view and 2,091 SF for homes without a view. Defined in 8.1.3.
✓ Real difference · medium
6.6 Homes with a view are about 1 year newer than homes without a view
The median is 2005 for homes with a view and 2004 for homes without a view. Defined in 8.1.4.
✓ Real difference · negligible
6.7 Homes with a view take 7 days longer to sell than homes without a view
The median is 49 days for homes with a view and 42 days for homes without a view. Defined in 8.1.5.
✓ Real difference · negligible
6.8 Homes with a view sell 0.7 percentage points further below their first asking price than homes without a view
The average is 7.7% for homes with a view and 7.0% for homes without a view. Defined in 8.1.6.
✓ Real difference · negligible
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.
47% of homes with a view had a price cut before sale, against 49% of homes without a view. Defined in 8.1.7.
55% of homes with a view had the seller pay closing costs or repairs, against 62% 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: ✓ Real difference · negligible
6.10 The numbers: price and size
View4,456 sales
No view7,150 sales
All11,606 sales
Real difference?
Net sale price average
$857,400
$485,487
$628,279
✓ medium
Net price per SF average
$301
$234
$260
✓ medium
Living area average
2,699
2,091
2,325
✓ medium
Year built median
2005
2004
2004
✓ negligible
6.11 The numbers: selling
View4,456 sales
No view7,150 sales
All11,606 sales
Real difference?
Days on market median
49
42
44
✓ negligible
Discount from original list average
7.7%
7.0%
7.2%
✓ negligible
Price cut before sale
47%
49%
48%
unclear
Seller paid closing costs or repairs
55%
62%
59%
✓ negligible
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 · 4,926 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: 4,926 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 ABOR / Unlock MLS Region.
Measure
Average
Median
Sales
4,926
Net sale price
$456,383
$357,200
Net price per SF
$193
$177
Living area (SF)
2,251
2,085
Days on market
104
75
Discount from original list
−17.0%
8.6%
Price cut before sale
64% of sales
Seller paid closing costs or repairs
75% of sales
Year built
1866–2026
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
11,909 resale sales. Average $626,581; median $458,000; standard deviation $589,844; middle half (25th–75th percentile) $328,600–$719,000; lowest $31,738, highest $12,006,340. 7,023 sales had a seller payment; their median payment was $7,104.
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
11,909 resale sales. Average $260; median $219; standard deviation $141; middle half (25th–75th percentile) $176–$295; lowest $5, highest $2,147.
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
11,909 resale sales. Average 2,322; median 2,119; standard deviation 986; middle half (25th–75th percentile) 1,644–2,786; lowest 400, highest 12,365.
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
11,909 resale sales. Average 1999; median 2004; standard deviation 22; middle half (25th–75th percentile) 1986–2017; lowest 1800, 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
11,909 resale sales. Average 77; median 44; standard deviation 101; middle half (25th–75th percentile) 15–97; lowest 0, highest 1,616. 113 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
11,909 resale sales. Average 7.2%; median 5.6%; standard deviation 8.7%; middle half (25th–75th percentile) 2.4%–10.5%; lowest −213.6%, highest 99.9%. 776 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
5,752 of 11,909 resale sales (48.3%).
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
7,023 of 11,909 resale sales (59.0%).
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
4456 sales with a view, 7150 without, 303 unclassified. Most common View entries: None 4843, Neighborhood 3293, Trees/Woods 2040, Hill Country 1415, Park/Greenbelt 1330, Panoramic 597, See Remarks 438, Lake 407.
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, every record in the ABOR dataset.
The data
Pulled October 31, 2026: 35,387 closed ABOR / Unlock MLS Region records over the prior year. Counties: Travis (14,121); Williamson (10,753); Hays (4,379); Bastrop (1,387); Bell (1,204); Burnet (800); and 83 more. Cities: Austin (10,712); Georgetown (3,150); Round Rock (1,809); Leander (1,596); Kyle (1,395); Pflugerville (1,322); and 272 more. ZIP codes: 403, the most sales in 78641, 78640, 78628, 78660, 78633, 78634.
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
16,835 single-family sales in the window: 11,909 resale, 4,926 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
11,909 resale; 4,926 new construction.
8.2.4 Sales left out
In simple terms
A few records cannot be used as entered and are left out before any analysis.
Statistically
Excluded: PropertySubType other than Single Family Residence; no OriginalListPrice; LivingArea under 400 SF; seller payments above 10% of ClosePrice (treated as entry errors).
The data
1,681 sale(s) other than single-family homes (condo, townhome and similar); 79 sale(s) with concessions above 10% of price; 40 sale(s) with no original list price; 4 sale(s) with no usable living area
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 $329K”.
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 $329K: $31,738–$328,500 (2,977 sales); $329K–$458K: $328,600–$457,749 (2,977 sales); $458K–$719K: $458,000–$718,829 (2,977 sales); Over $719K: $719,000–$12,006,340 (2,978 sales) Quartiles by living area: Under 1,645 SF: 400–1,644 SF (2,978 sales); 1,645–2,118 SF: 1,645–2,118 SF (2,974 sales); 2,119–2,786 SF: 2,119–2,786 SF (2,983 sales); Over 2,786 SF: 2,787–12,365 SF (2,974 sales) Quartiles by year built: Before 1987: 1800–1986 (2,985 sales); 1987–2004: 1987–2004 (2,995 sales); 2005–2016: 2005–2016 (2,935 sales); After 2016: 2017–2026 (2,994 sales) View and no view: View: MLS lists a view (4,456 sales); No view: None or Neighborhood (7,150 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 $626,581, median $458,000. Days on market: average 77, median 44: 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
30 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 = 5,906.37
3
< 0.0001
p < 0.0063
Yes
ε² = 0.496
large
Living area
Kruskal–Wallis
H = 5,337.78
3
< 0.0001
p < 0.0063
Yes
ε² = 0.448
large
Year built
Kruskal–Wallis
H = 39.09
3
< 0.0001
p < 0.0063
Yes
ε² = 0.003
negligible
Days on market
Kruskal–Wallis
H = 85.46
3
< 0.0001
p < 0.0063
Yes
ε² = 0.007
negligible
Discount from original list
Kruskal–Wallis
H = 354.31
3
< 0.0001
p < 0.0063
Yes
ε² = 0.030
small
Price cut before sale
Chi-square
χ² = 151.96
3
< 0.0001
p < 0.0063
Yes
Cramér’s V = 0.113
small
Seller paid closing costs or repairs
Chi-square
χ² = 167.44
3
< 0.0001
p < 0.0063
Yes
Cramér’s V = 0.119
small
Has a view
Chi-square
χ² = 1,608.52
3
< 0.0001
p < 0.0063
Yes
Cramér’s V = 0.368
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 = 5,396.56
3
< 0.0001
p < 0.0063
Yes
ε² = 0.453
large
Net price per SF
Kruskal–Wallis
H = 378.88
3
< 0.0001
p < 0.0063
Yes
ε² = 0.032
small
Year built
Kruskal–Wallis
H = 767.85
3
< 0.0001
p < 0.0063
Yes
ε² = 0.064
medium
Days on market
Kruskal–Wallis
H = 30.86
3
< 0.0001
p < 0.0063
Yes
ε² = 0.003
negligible
Discount from original list
Kruskal–Wallis
H = 55.57
3
< 0.0001
p < 0.0063
Yes
ε² = 0.005
negligible
Price cut before sale
Chi-square
χ² = 5.22
3
0.1564
p < 0.0063
Unclear
Cramér’s V = 0.021
negligible
Seller paid closing costs or repairs
Chi-square
χ² = 35.18
3
< 0.0001
p < 0.0063
Yes
Cramér’s V = 0.054
negligible
Has a view
Chi-square
χ² = 857.82
3
< 0.0001
p < 0.0063
Yes
Cramér’s V = 0.268
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 = 12.71
3
0.0053
p < 0.0063
Yes
ε² = 0.001
negligible
Net price per SF
Kruskal–Wallis
H = 785.12
3
< 0.0001
p < 0.0063
Yes
ε² = 0.066
medium
Living area
Kruskal–Wallis
H = 1,207.23
3
< 0.0001
p < 0.0063
Yes
ε² = 0.101
medium
Days on market
Kruskal–Wallis
H = 173.73
3
< 0.0001
p < 0.0063
Yes
ε² = 0.015
small
Discount from original list
Kruskal–Wallis
H = 40.39
3
< 0.0001
p < 0.0063
Yes
ε² = 0.003
negligible
Price cut before sale
Chi-square
χ² = 124.33
3
< 0.0001
p < 0.0063
Yes
Cramér’s V = 0.102
small
Seller paid closing costs or repairs
Chi-square
χ² = 80.86
3
< 0.0001
p < 0.0063
Yes
Cramér’s V = 0.082
negligible
Has a view
Chi-square
χ² = 70.09
3
< 0.0001
p < 0.0063
Yes
Cramér’s V = 0.077
negligible
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 = 23,008,428.50
—
< 0.0001
p < 0.0063
Yes
rank-biserial r = 0.444
medium
Net price per SF
Mann–Whitney U
U = 21,445,302.00
—
< 0.0001
p < 0.0063
Yes
rank-biserial r = 0.346
medium
Living area
Mann–Whitney U
U = 21,261,850.50
—
< 0.0001
p < 0.0063
Yes
rank-biserial r = 0.335
medium
Year built
Mann–Whitney U
U = 16,995,979.00
—
< 0.0001
p < 0.0063
Yes
rank-biserial r = 0.067
negligible
Days on market
Mann–Whitney U
U = 17,246,398.50
—
< 0.0001
p < 0.0063
Yes
rank-biserial r = 0.083
negligible
Discount from original list
Mann–Whitney U
U = 16,415,154.50
—
0.0057
p < 0.0063
Yes
rank-biserial r = 0.030
negligible
Price cut before sale
Chi-square
χ² = 4.97
1
0.0258
p < 0.0063
Unclear
Cramér’s V = 0.021
negligible
Seller paid closing costs or repairs
Chi-square
χ² = 49.40
1
< 0.0001
p < 0.0063
Yes
Cramér’s V = 0.065
negligible
8.4 Data notes
Left out of the analysis: 4,926 new-construction sales (basic statistics only, section 7); 1,681 sale(s) other than single-family homes (condo, townhome and similar); 79 sale(s) with concessions above 10% of price; 40 sale(s) with no original list price; 4 sale(s) with no usable living area. 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.