ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

River Place

Austin, TX 78730
Resale homes · closed Nov 7 – Nov 6, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
November 7, 2026 · 7:34 AM CST
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
46
single-family resale homes
Median net sale price
$963,162
average $1,053,039
Median net price per SF
$302
average $307
Median days on market
38 days
average 59 days
1. SummaryResale homes · 46 sales · November 7, 2025 – November 6, 2026

This study looks at the 46 resale homes sold in River Place in the 365 days to November 6, 2026. A full year is used because only 25 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 sold46 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.

Under $858K · 12 sales$858K–$960K · 11 sales$966K–$1.20M · 11 salesOver $1.20M · 12 sales
3. Quartiles by net sale priceResale homes · 46 sales · November 7, 2025 – November 6, 2026

Sales ranked by net sale price and cut into four equal groups. This is the usual way to read a market by price.

2026-11-07T07:34:30.426464 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 12 11 11 12 46 sales Sales per group Under $858K: 12 sales (26%) $858K–$960K: 11 sales (24%) $966K–$1.20M: 11 sales (24%) Over $1.20M: 12 sales (26%)
Bottom line

3.1 Key differences

The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.

Under $858K$858K–$960K$966K–$1.20MOver $1.20M
Higher-priced homes Over $1.20M
  • Are much larger.
  • Sell for more per square foot.
Lower-priced homes Under $858K
  • Are much smaller.
  • Sell for less per square foot.

3.2 At a glance

Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.

Under $858K$858K–$960K$966K–$1.20MOver $1.20MReal difference?
Net price per SF$294 per SF$269 per SFLowest$311 per SF$352 per SFHighest✓ large
Living area2,680 SFSmallest3,423 SF3,504 SF4,144 SFLargest✓ large
Year built1996199619971998unclear
Days on market30 days67 days74 days11 daysunclear
Discount from original list5.4%6.6%7.5%4.0%unclear
Price cut before sale33%45%45%8%unclear
Seller paid closing costs or repairs75%45%36%50%unclear
Has a view33%73%82%92%unclear

How to read this section. Each heading gives the finding. The gold box says whether the gap is real (✓, with its size) or could be chance (–). The section ends with its numbers; the tests are in section 8.3.

3.3 Homes over $1.20M sell for about $58 per SF (20%) more than homes under $858K

2026-11-07T07:34:30.455171 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $858K 12 sales $858K– $960K 11 sales $966K– $1.20M 11 sales Over $1.20M 12 sales $0 $200 $400 $294 $269 $311 $352 Net price per SF, average

The average is $352 per SF for homes over $1.20M and $294 per SF for homes under $858K. It does not move in a straight line; homes over $1.20M are highest. Defined in 8.1.2.

✓ Real difference · large

3.4 Homes over $1.20M are about 1,460 SF (55%) larger than homes under $858K

2026-11-07T07:34:30.478191 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $858K 12 sales $858K– $960K 11 sales $966K– $1.20M 11 sales Over $1.20M 12 sales 0 2,000 4,000 2,680 3,423 3,504 4,144 Living area (SF), average

The average is 4,144 SF for homes over $1.20M and 2,680 SF for homes under $858K. 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

2026-11-07T07:34:30.503246 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $858K 12 sales $858K– $960K 11 sales $966K– $1.20M 11 sales Over $1.20M 12 sales 1994 1996 1998 2000 2002 1996 1996 1997 1998 Year built: median (dot) and middle half (bar)

The median is 1998 for homes over $1.20M and 1996 for homes under $858K. 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 Days on market: no clear difference

2026-11-07T07:34:30.527169 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $858K 12 sales $858K– $960K 11 sales $966K– $1.20M 11 sales Over $1.20M 12 sales 0 25 50 75 30 67 74 11 Days on market, median

The median is 11 days for homes over $1.20M and 30 days for homes under $858K. It does not move in a straight line; homes $966K–$1.20M are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-11-07T07:34:30.549748 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $858K 12 sales $858K– $960K 11 sales $966K– $1.20M 11 sales Over $1.20M 12 sales 0.0% 2.5% 5.0% 7.5% 5.4% 6.6% 7.5% 4.0% Discount from original list, average

The average is 4.0% for homes over $1.20M and 5.4% for homes under $858K. It does not move in a straight line; homes $966K–$1.20M are highest. Defined in 8.1.6.

– No clear difference · could be chance

3.8 How often: price cut before sale, seller paid closing costs or repairs, has a view

2026-11-07T07:34:30.580660 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 33 75 33 45 45 73 45 36 82 8 50 92 Under $858K $858K–$960K $966K–$1.20M Over $1.20M

Each bar is the share of homes in the group, in percent.

  • 8% of homes over $1.20M had a price cut before sale, against 33% of homes under $858K. Defined in 8.1.7.
  • 50% of homes over $1.20M had the seller pay closing costs or repairs, against 75% of homes under $858K. Defined in 8.1.8.
  • 92% of homes over $1.20M have a view, against 33% of homes under $858K. 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 $858K12 sales$858K–$960K11 sales$966K–$1.20M11 salesOver $1.20M12 salesAll46 salesReal difference?
Net sale price average$773,383$909,949$1,079,130$1,439,944$1,053,039by design
Net price per SF average$294$269$311$352$307✓ large
Living area average2,6803,4233,5044,1443,436✓ large
Year built median19961996199719981996unclear

3.10 The numbers: selling

Under $858K12 sales$858K–$960K11 sales$966K–$1.20M11 salesOver $1.20M12 salesAll46 salesReal difference?
Days on market median3067741138unclear
Discount from original list average5.4%6.6%7.5%4.0%5.8%unclear
Price cut before sale33%45%45%8%33%unclear
Seller paid closing costs or repairs75%45%36%50%52%unclear
Has a view33%73%82%92%70%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 · 46 sales · November 7, 2025 – November 6, 2026

Sales ranked by living area and cut into four equal groups, from the smallest homes to the largest.

2026-11-07T07:34:30.601586 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 12 12 10 12 46 sales Sales per group Under 3,065 SF: 12 sales (26%) 3,065–3,366 SF: 12 sales (26%) 3,430–3,693 SF: 10 sales (22%) Over 3,693 SF: 12 sales (26%)
Bottom line

4.1 Key differences

The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.

Under 3,065 SF3,065–3,366 SF3,430–3,693 SFOver 3,693 SF
Larger homes Over 3,693 SF
  • Sell for much more.
Smaller homes Under 3,065 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 3,065 SF3,065–3,366 SF3,430–3,693 SFOver 3,693 SFReal difference?
Net sale price$814KLowest$1.01M$1.09M$1.30MHighest✓ large
Net price per SF$315 per SF$311 per SF$307 per SF$295 per SFunclear
Year built1996199519981999unclear
Days on market18 days44 days60 days62 daysunclear
Discount from original list4.0%3.9%6.8%8.9%unclear
Price cut before sale25%33%30%42%unclear
Seller paid closing costs or repairs50%50%40%67%unclear
Has a view50%75%70%83%unclear

4.3 Homes over 3,693 SF sell for about $489K (60%) more than homes under 3,065 SF

2026-11-07T07:34:30.622551 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 3,065 SF 12 sales 3,065– 3,366 SF 12 sales 3,430– 3,693 SF 10 sales Over 3,693 SF 12 sales $0K $500K $1.00M $1.50M $814K $1.01M $1.09M $1.30M Net sale price, average

The average is $1.30M for homes over 3,693 SF and $814K for homes under 3,065 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

2026-11-07T07:34:30.645514 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 3,065 SF 12 sales 3,065– 3,366 SF 12 sales 3,430– 3,693 SF 10 sales Over 3,693 SF 12 sales $0 $100 $200 $300 $315 $311 $307 $295 Net price per SF, average

The average is $295 per SF for homes over 3,693 SF and $315 per SF for homes under 3,065 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-11-07T07:34:30.669286 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 3,065 SF 12 sales 3,065– 3,366 SF 12 sales 3,430– 3,693 SF 10 sales Over 3,693 SF 12 sales 1996 1999 2002 2005 1996 1995 1998 1999 Year built: median (dot) and middle half (bar)

The median is 1999 for homes over 3,693 SF and 1996 for homes under 3,065 SF. It does not move in a straight line; homes over 3,693 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-11-07T07:34:30.692410 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 3,065 SF 12 sales 3,065– 3,366 SF 12 sales 3,430– 3,693 SF 10 sales Over 3,693 SF 12 sales 0 20 40 60 18 44 60 62 Days on market, median

The median is 62 days for homes over 3,693 SF and 18 days for homes under 3,065 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-11-07T07:34:30.714759 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 3,065 SF 12 sales 3,065– 3,366 SF 12 sales 3,430– 3,693 SF 10 sales Over 3,693 SF 12 sales 0.0% 5.0% 10.0% 4.0% 3.9% 6.8% 8.9% Discount from original list, average

The average is 8.9% for homes over 3,693 SF and 4.0% for homes under 3,065 SF. It does not move in a straight line; homes over 3,693 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

2026-11-07T07:34:30.740814 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 25 50 50 33 50 75 30 40 70 42 67 83 Under 3,065 SF 3,065–3,366 SF 3,430–3,693 SF Over 3,693 SF

Each bar is the share of homes in the group, in percent.

  • 42% of homes over 3,693 SF had a price cut before sale, against 25% of homes under 3,065 SF. Defined in 8.1.7.
  • 67% of homes over 3,693 SF had the seller pay closing costs or repairs, against 50% of homes under 3,065 SF. Defined in 8.1.8.
  • 83% of homes over 3,693 SF have a view, against 50% of homes under 3,065 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 3,065 SF12 sales3,065–3,366 SF12 sales3,430–3,693 SF10 salesOver 3,693 SF12 salesAll46 salesReal difference?
Net sale price average$814,152$1,011,454$1,089,980$1,302,726$1,053,039✓ large
Net price per SF average$315$311$307$295$307unclear
Living area average2,5893,2443,5554,3773,436by design
Year built median19961995199819991996unclear

4.10 The numbers: selling

Under 3,065 SF12 sales3,065–3,366 SF12 sales3,430–3,693 SF10 salesOver 3,693 SF12 salesAll46 salesReal difference?
Days on market median1844606238unclear
Discount from original list average4.0%3.9%6.8%8.9%5.8%unclear
Price cut before sale25%33%30%42%33%unclear
Seller paid closing costs or repairs50%50%40%67%52%unclear
Has a view50%75%70%83%70%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 · 46 sales · November 7, 2025 – November 6, 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.

2026-11-07T07:34:30.762136 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 12 11 12 11 46 sales Sales per group Before 1995: 12 sales (26%) 1995–1996: 11 sales (24%) 1997–1999: 12 sales (26%) After 1999: 11 sales (24%)
Bottom line: no measure differs enough between the groups to rule out chance.

5.1 Key differences

The top group against the bottom group: no measure differs enough to rule out chance.

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 19951995–19961997–1999After 1999Real difference?
Net sale price$1.03M$918K$1.01M$1.26Munclear
Net price per SF$300 per SF$309 per SF$311 per SF$309 per SFunclear
Living area3,446 SF3,013 SF3,266 SF4,034 SFunclear
Days on market62 days42 days18 days43 daysunclear
Discount from original list7.3%3.9%6.4%5.7%unclear
Price cut before sale42%36%33%18%unclear
Seller paid closing costs or repairs50%45%58%55%unclear
Has a view67%45%67%100%unclear

5.3 Net sale price: no clear difference

2026-11-07T07:34:30.781988 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1995 12 sales 1995– 1996 11 sales 1997– 1999 12 sales After 1999 11 sales $0K $500K $1.00M $1.50M $1.03M $918K $1.01M $1.26M Net sale price, average

The average is $1.26M for homes built after 1999 and $1.03M for homes built before 1995. It does not move in a straight line; homes built after 1999 are highest. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-11-07T07:34:30.803417 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1995 12 sales 1995– 1996 11 sales 1997– 1999 12 sales After 1999 11 sales $0 $100 $200 $300 $300 $309 $311 $309 Net price per SF, average

The average is $309 per SF for homes built after 1999 and $300 per SF for homes built before 1995. It does not move in a straight line; homes built 1997–1999 are highest. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-11-07T07:34:30.825521 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1995 12 sales 1995– 1996 11 sales 1997– 1999 12 sales After 1999 11 sales 0 2,000 4,000 3,446 3,013 3,266 4,034 Living area (SF), average

The average is 4,034 SF for homes built after 1999 and 3,446 SF for homes built before 1995. It does not move in a straight line; homes built after 1999 are highest. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-11-07T07:34:30.846115 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1995 12 sales 1995– 1996 11 sales 1997– 1999 12 sales After 1999 11 sales 0 20 40 60 62 42 18 43 Days on market, median

The median is 43 days for homes built after 1999 and 62 days for homes built before 1995. It does not move in a straight line; homes built before 1995 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-11-07T07:34:30.868788 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1995 12 sales 1995– 1996 11 sales 1997– 1999 12 sales After 1999 11 sales 0.0% 2.5% 5.0% 7.5% 7.3% 3.9% 6.4% 5.7% Discount from original list, average

The average is 5.7% for homes built after 1999 and 7.3% for homes built before 1995. It does not move in a straight line; homes built before 1995 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

2026-11-07T07:34:30.894817 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 42 50 67 36 45 45 33 58 67 18 55 100 Before 1995 1995–1996 1997–1999 After 1999

Each bar is the share of homes in the group, in percent.

  • 18% of homes built after 1999 had a price cut before sale, against 42% of homes built before 1995. Defined in 8.1.7.
  • 55% of homes built after 1999 had the seller pay closing costs or repairs, against 50% of homes built before 1995. Defined in 8.1.8.
  • 100% of homes built after 1999 have a view, against 67% of homes built before 1995. 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 199512 sales1995–199611 sales1997–199912 salesAfter 199911 salesAll46 salesReal difference?
Net sale price average$1,032,200$917,987$1,010,746$1,256,961$1,053,039unclear
Net price per SF average$300$309$311$309$307unclear
Living area average3,4463,0133,2664,0343,436unclear
Year built median19931995199820021996by design

5.10 The numbers: selling

Before 199512 sales1995–199611 sales1997–199912 salesAfter 199911 salesAll46 salesReal difference?
Days on market median6242184338unclear
Discount from original list average7.3%3.9%6.4%5.7%5.8%unclear
Price cut before sale42%36%33%18%33%unclear
Seller paid closing costs or repairs50%45%58%55%52%unclear
Has a view67%45%67%100%70%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 · 46 sales · November 7, 2025 – November 6, 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.

2026-11-07T07:34:30.912463 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 32 14 46 sales Sales per group View: 32 sales (70%) No view: 14 sales (30%)
Bottom line

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 much more.
Homes without a view no view listed
  • Sell for much less.

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.

ViewNo viewReal difference?
Net sale price$1.14MHighest$853KLowest✓ large
Net price per SF$318 per SF$282 per SFunclear
Living area3,594 SF3,076 SFunclear
Year built19981995unclear
Days on market18 days78 daysunclear
Discount from original list5.1%7.5%unclear
Price cut before sale25%50%unclear
Seller paid closing costs or repairs50%57%unclear

6.3 Homes with a view sell for about $287K (34%) more than homes without a view

2026-11-07T07:34:30.929287 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 32 sales No view 14 sales $0K $500K $1.00M $1.14M $853K Net sale price, average

The average is $1.14M for homes with a view and $853K for homes without a view. Defined in 8.1.1.

✓ Real difference · large

6.4 Net price per SF: no clear difference

2026-11-07T07:34:30.946143 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 32 sales No view 14 sales $0 $100 $200 $300 $318 $282 Net price per SF, average

The average is $318 per SF for homes with a view and $282 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

2026-11-07T07:34:30.964339 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 32 sales No view 14 sales 0 1,000 2,000 3,000 4,000 3,594 3,076 Living area (SF), average

The average is 3,594 SF for homes with a view and 3,076 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-11-07T07:34:31.014077 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 32 sales No view 14 sales 1994 1996 1998 2000 1998 1995 Year built: median (dot) and middle half (bar)

The median is 1998 for homes with a view and 1995 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-11-07T07:34:31.032767 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 32 sales No view 14 sales 0 20 40 60 80 18 78 Days on market, median

The median is 18 days for homes with a view and 78 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

2026-11-07T07:34:31.051749 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 32 sales No view 14 sales 0.0% 2.0% 4.0% 6.0% 8.0% 5.1% 7.5% Discount from original list, average

The average is 5.1% for homes with a view and 7.5% 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

2026-11-07T07:34:31.071265 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 25 50 50 57 View No view

Each bar is the share of homes in the group, in percent.

  • 25% of homes with a view had a price cut before sale, against 50% of homes without a view. Defined in 8.1.7.
  • 50% 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

View32 salesNo view14 salesAll46 salesReal difference?
Net sale price average$1,140,431$853,286$1,053,039✓ large
Net price per SF average$318$282$307unclear
Living area average3,5943,0763,436unclear
Year built median199819951996unclear

6.11 The numbers: selling

View32 salesNo view14 salesAll46 salesReal difference?
Days on market median187838unclear
Discount from original list average5.1%7.5%5.8%unclear
Price cut before sale25%50%33%unclear
Seller paid closing costs or repairs50%57%52%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 · 10 sales · November 7, 2025 – November 6, 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: 10 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 River Place.
MeasureAverageMedian
Sales10
Net sale price$2,055,338$1,922,507
Net price per SF$498$484
Living area (SF)4,1164,109
Days on market176187
Discount from original list12.2%15.7%
Price cut before sale70% of sales
Seller paid closing costs or repairs40% of sales
Year built2025–2026

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
46 resale sales. Average $1,053,039; median $963,162; standard deviation $296,103; middle half (25th–75th percentile) $857,850–$1,198,750; lowest $668,000, highest $2,241,686. 24 sales had a seller payment; their median payment was $10,000.

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
46 resale sales. Average $307; median $302; standard deviation $50; middle half (25th–75th percentile) $271–$343; lowest $212, highest $458.

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
46 resale sales. Average 3,436; median 3,366; standard deviation 764; middle half (25th–75th percentile) 3,039–3,725; lowest 2,130, highest 6,222.

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
46 resale sales. Average 1997; median 1996; standard deviation 4; middle half (25th–75th percentile) 1994–1999; lowest 1991, highest 2010.

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
46 resale sales. Average 59; median 38; standard deviation 60; middle half (25th–75th percentile) 12–92; lowest 2, highest 247. 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
46 resale sales. Average 5.8%; median 4.6%; standard deviation 5.7%; middle half (25th–75th percentile) 1.8%–7.9%; lowest −1.7%, highest 22.9%. 2 sales closed above their first asking price.

8.1.7 Price cut before sale

In simple terms
The asking price was lowered at least once before the home went under contract.
Statistically
Indicator: ListPrice at close < OriginalListPrice. Reported as the share of sales (%).
The data
15 of 46 resale sales (32.6%).

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
24 of 46 resale sales (52.2%).

8.1.9 Has a view

In simple terms
The MLS says the home looks over something: a greenbelt or park, trees, golf course, hill country, water and similar.
Statistically
View = the View field holds any entry other than “None”, “Neighborhood” or “See Remarks”. No view = only “None” and/or “Neighborhood”. A record whose only entry is “See Remarks” cannot be classified and is left out of the view slice.
The data
32 sales with a view, 14 without, 0 unclassified. Most common View entries: Hill Country 25, Park/Greenbelt 16, Trees/Woods 13, None 11, Panoramic 11, Golf Course 7, Neighborhood 6, Canyon 5.

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 2026-11-07 13:30 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Austin, SubdivisionName contains any of “river place”, “river place milky way at river place”, “river place, milky way at river place” (case-insensitive). A record is kept when its subdivision name belongs to the River Place family, the same rule comparable sales use (it includes River Place, Milky Way at River Place, proven adjacent and priced alike).
The data
Pulled November 7, 2026: 56 closed River Place records over the prior year, in ZIP 78730. 23 subdivision spellings kept, the most common: River Place (10); River Place Sec 06 (7); River Place, Milky Way at River Place (6); River Place Sec 07B (5); River Place Sec 15 (3); River Place Sec 03 (3); River Place Sec 08 (3); River Place Sec 04-A (2); River Place Sec 07A (2); River Place Sec 21 (2); River Place Sec 02-B (1); River Place Sec 02 (1); and 11 more (11 records). Names found by the search but not part of River Place, left out: Overlook At River Place (3); Preserve At River Place Sec 02 (1); Milky Way/River Place Condos (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 25 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from November 7, 2025 to November 6, 2026 inclusive.
The data
56 single-family sales in the window: 46 resale, 10 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
46 resale; 10 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 $858K”.
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 $858K: $668,000–$857,700 (12 sales); $858K–$960K: $858,300–$960,000 (11 sales); $966K–$1.20M: $966,325–$1,195,000 (11 sales); Over $1.20M: $1,200,000–$2,241,686 (12 sales)
Quartiles by living area: Under 3,065 SF: 2,130–3,030 SF (12 sales); 3,065–3,366 SF: 3,065–3,366 SF (12 sales); 3,430–3,693 SF: 3,430–3,693 SF (10 sales); Over 3,693 SF: 3,736–6,222 SF (12 sales)
Quartiles by year built: Before 1995: 1991–1994 (12 sales); 1995–1996: 1995–1996 (11 sales); 1997–1999: 1997–1999 (12 sales); After 1999: 2000–2010 (11 sales)
View and no view: View: MLS lists a view (32 sales); No view: None or Neighborhood (14 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 $1,053,039, median $963,162. Days on market: average 59, median 38: 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
4 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

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net price per SFKruskal–WallisH = 17.2930.0006p < 0.0063Yesε² = 0.384large
Living areaKruskal–WallisH = 24.153< 0.0001p < 0.0063Yesε² = 0.537large
Year builtKruskal–WallisH = 2.6330.4530p < 0.0063Unclearε² = 0.058small
Days on marketKruskal–WallisH = 4.8130.1863p < 0.0063Unclearε² = 0.107medium
Discount from original listKruskal–WallisH = 4.2530.2360p < 0.0063Unclearε² = 0.094medium
Price cut before saleChi-squareχ² = 4.8730.1814p < 0.0063UnclearCramér’s V = 0.325medium
Seller paid closing costs or repairsChi-squareχ² = 3.8330.2805p < 0.0063UnclearCramér’s V = 0.289small
Has a viewChi-squareχ² = 11.0430.0115p < 0.0063UnclearCramér’s V = 0.490medium

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 20.7030.0001p < 0.0063Yesε² = 0.460large
Net price per SFKruskal–WallisH = 1.2030.7525p < 0.0063Unclearε² = 0.027small
Year builtKruskal–WallisH = 4.7930.1877p < 0.0063Unclearε² = 0.106medium
Days on marketKruskal–WallisH = 2.0130.5702p < 0.0063Unclearε² = 0.045small
Discount from original listKruskal–WallisH = 5.5830.1338p < 0.0063Unclearε² = 0.124medium
Price cut before saleChi-squareχ² = 0.8030.8499p < 0.0063UnclearCramér’s V = 0.132small
Seller paid closing costs or repairsChi-squareχ² = 1.6530.6482p < 0.0063UnclearCramér’s V = 0.189small
Has a viewChi-squareχ² = 3.4130.3323p < 0.0063UnclearCramér’s V = 0.272small

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 7.9530.0471p < 0.0063Unclearε² = 0.177large
Net price per SFKruskal–WallisH = 0.2830.9646p < 0.0063Unclearε² = 0.006negligible
Living areaKruskal–WallisH = 11.3830.0098p < 0.0063Unclearε² = 0.253large
Days on marketKruskal–WallisH = 0.8030.8500p < 0.0063Unclearε² = 0.018small
Discount from original listKruskal–WallisH = 2.3530.5022p < 0.0063Unclearε² = 0.052small
Price cut before saleChi-squareχ² = 1.5630.6677p < 0.0063UnclearCramér’s V = 0.184small
Seller paid closing costs or repairsChi-squareχ² = 0.4330.9342p < 0.0063UnclearCramér’s V = 0.097negligible
Has a viewChi-squareχ² = 7.9330.0475p < 0.0063UnclearCramér’s V = 0.415medium

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 374.50—0.0003p < 0.0063Yesrank-biserial r = 0.672large
Net price per SFMann–Whitney UU = 321.00—0.0212p < 0.0063Unclearrank-biserial r = 0.433medium
Living areaMann–Whitney UU = 307.50—0.0475p < 0.0063Unclearrank-biserial r = 0.373medium
Year builtMann–Whitney UU = 299.50—0.0719p < 0.0063Unclearrank-biserial r = 0.337medium
Days on marketMann–Whitney UU = 130.00—0.0256p < 0.0063Unclearrank-biserial r = 0.420medium
Discount from original listMann–Whitney UU = 172.00—0.2189p < 0.0063Unclearrank-biserial r = 0.232small
Price cut before saleChi-squareχ² = 2.7710.0961p < 0.0063UnclearCramér’s V = 0.245small
Seller paid closing costs or repairsChi-squareχ² = 0.2010.6554p < 0.0063UnclearCramér’s V = 0.066negligible

8.4 Data notes

Left out of the analysis: 10 new-construction sales (basic statistics only, section 7); nothing else. Statistics: Python, NumPy 2.5.3, SciPy 1.18.1.

8.5 References

  1. Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Erlbaum.
  2. Cramér, H. (1946). Mathematical Methods of Statistics. Princeton University Press.
  3. Dunn, O. J. (1961). Multiple comparisons among means. JASA, 56(293), 52–64.
  4. Kerby, D. S. (2014). The simple difference formula: an approach to teaching nonparametric correlation. Comprehensive Psychology, 3, 11.IT.3.1.
  5. Kruskal, W. H., & Wallis, W. A. (1952). Use of ranks in one-criterion variance analysis. JASA, 47(260), 583–621.
  6. 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.
  7. Pearson, K. (1900). On the criterion that a given system of deviations… Philosophical Magazine, 50(302), 157–175.
  8. Tomczak, M., & Tomczak, E. (2014). The need to report effect size estimates revisited. Trends in Sport Sciences, 21(1), 19–25.

This is a market study of closed sales, not an appraisal or an opinion of value for any home. The analysis covers 46 closed MLS resale sales; the 10 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled November 7, 2026. Map data © OpenStreetMap contributors. ALEX Companies · Licensed by the Texas Real Estate Commission · Broker: Alexander Tiffany Southwest, LLC (ALEX Real Estate), #565194-BB · Diane Hart Alexander, Designated Broker, #574877-B.