ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Steiner Ranch

Austin, TX 78732
Resale homes · closed May 2 – Oct 28, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
October 29, 2026 · 6:48 AM CDT
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
98
single-family resale homes
Median net sale price
$837,350
average $1,050,211
Median net price per SF
$271
average $293
Median days on market
42 days
average 66 days
1. SummaryResale homes · 98 sales · May 2, 2026 – October 28, 2026

This study looks at the 98 resale homes sold in Steiner Ranch in the 180 days to October 28, 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 sold98 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 $670K · 24 sales$670K–$835K · 25 sales$840K–$1.16M · 25 salesOver $1.16M · 24 sales
3. Quartiles by net sale priceResale homes · 98 sales · May 2, 2026 – October 28, 2026

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

2026-10-29T06:48:46.888100 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 24 25 25 24 98 sales Sales per group Under $670K: 24 sales (24%) $670K–$835K: 25 sales (26%) $840K–$1.16M: 25 sales (26%) Over $1.16M: 24 sales (24%)
Bottom line

3.1 Key differences

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

Under $670K$670K–$835K$840K–$1.16MOver $1.16M
Higher-priced homes Over $1.16M
  • Are much larger.
  • Sell for more per square foot.
  • Are more likely to have a view.
  • Tend to be newer.
Lower-priced homes Under $670K
  • Are much smaller.
  • Sell for less per square foot.
  • Are less likely to have a view.
  • Tend to be older.

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 $670K$670K–$835K$840K–$1.16MOver $1.16MReal difference?
Net price per SF$249 per SFLowest$255 per SF$292 per SF$376 per SFHighest✓ large
Living area2,388 SFSmallest3,020 SF3,594 SF4,742 SFLargest✓ large
Year built1999Oldest200320052008Newest✓ large
Days on market36 days38 days49 days73 daysunclear
Discount from original list4.8%7.4%7.7%7.4%unclear
Price cut before sale46%56%44%54%unclear
Seller paid closing costs or repairs62%60%64%58%unclear
Has a view75%36%Fewest76%92%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 $1.16M sell for about $127 per SF (51%) more than homes under $670K

2026-10-29T06:48:46.915950 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $670K 24 sales $670K– $835K 25 sales $840K– $1.16M 25 sales Over $1.16M 24 sales $0 $200 $400 $249 $255 $292 $376 Net price per SF, average

The average is $376 per SF for homes over $1.16M and $249 per SF for homes under $670K. It rises step by step from the lowest range to the highest. Defined in 8.1.2.

✓ Real difference · large

3.4 Homes over $1.16M are about 2,350 SF (99%) larger than homes under $670K

2026-10-29T06:48:46.938342 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $670K 24 sales $670K– $835K 25 sales $840K– $1.16M 25 sales Over $1.16M 24 sales 0 2,000 4,000 2,388 3,020 3,594 4,742 Living area (SF), average

The average is 4,742 SF for homes over $1.16M and 2,388 SF for homes under $670K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

✓ Real difference · large

3.5 Homes over $1.16M are about 9 years newer than homes under $670K

2026-10-29T06:48:46.961892 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $670K 24 sales $670K– $835K 25 sales $840K– $1.16M 25 sales Over $1.16M 24 sales 1996 2000 2004 2008 1999 2003 2005 2008 Year built: median (dot) and middle half (bar)

The median is 2008 for homes over $1.16M and 1999 for homes under $670K. It rises step by step from the lowest range to the highest. Defined in 8.1.4.

✓ Real difference · large

3.6 Days on market: no clear difference

2026-10-29T06:48:46.984724 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $670K 24 sales $670K– $835K 25 sales $840K– $1.16M 25 sales Over $1.16M 24 sales 0 25 50 75 36 38 49 73 Days on market, median

The median is 73 days for homes over $1.16M and 36 days for homes under $670K. It rises step by step from the lowest range to the highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-29T06:48:47.006906 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $670K 24 sales $670K– $835K 25 sales $840K– $1.16M 25 sales Over $1.16M 24 sales 0.0% 2.5% 5.0% 7.5% 4.8% 7.4% 7.7% 7.4% Discount from original list, average

The average is 7.4% for homes over $1.16M and 4.8% for homes under $670K. It does not move in a straight line; homes $840K–$1.16M 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

2026-10-29T06:48:47.036882 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% 46 62 75 56 60 36 44 64 76 54 58 92 Under $670K $670K–$835K $840K–$1.16M Over $1.16M

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

  • 54% of homes over $1.16M had a price cut before sale, against 46% of homes under $670K. Defined in 8.1.7.
  • 58% of homes over $1.16M had the seller pay closing costs or repairs, against 62% of homes under $670K. Defined in 8.1.8.
  • 92% of homes over $1.16M have a view, against 75% of homes under $670K. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: ✓ Real difference · medium

3.9 The numbers: price and size

Under $670K24 sales$670K–$835K25 sales$840K–$1.16M25 salesOver $1.16M24 salesAll98 salesReal difference?
Net sale price average$584,930$758,552$1,044,255$1,825,508$1,050,211by design
Net price per SF average$249$255$292$376$293✓ large
Living area average2,3883,0203,5944,7423,433✓ large
Year built median19992003200520082005✓ large

3.10 The numbers: selling

Under $670K24 sales$670K–$835K25 sales$840K–$1.16M25 salesOver $1.16M24 salesAll98 salesReal difference?
Days on market median3638497342unclear
Discount from original list average4.8%7.4%7.7%7.4%6.9%unclear
Price cut before sale46%56%44%54%50%unclear
Seller paid closing costs or repairs62%60%64%58%61%unclear
Has a view75%36%76%92%69%✓ 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 · 98 sales · May 2, 2026 – October 28, 2026

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

2026-10-29T06:48:47.057561 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 24 25 25 24 98 sales Sales per group Under 2,749 SF: 24 sales (24%) 2,749–3,307 SF: 25 sales (26%) 3,334–4,067 SF: 25 sales (26%) Over 4,067 SF: 24 sales (24%)
Bottom line

4.1 Key differences

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

Under 2,749 SF2,749–3,307 SF3,334–4,067 SFOver 4,067 SF
Larger homes Over 4,067 SF
  • Sell for much more.
  • Are more likely to have a view.
  • Sell for more per square foot.
  • Tend to be newer.
Smaller homes Under 2,749 SF
  • Sell for much less.
  • Are less likely to have a view.
  • 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 2,749 SF2,749–3,307 SF3,334–4,067 SFOver 4,067 SFReal difference?
Net sale price$609KLowest$762K$1.04M$1.80MHighest✓ large
Net price per SF$269 per SF$252 per SFLowest$285 per SF$366 per SFHighest✓ large
Year built1999Oldest200020052007Newest✓ large
Days on market36 days28 days54 days73 daysunclear
Discount from original list6.1%5.2%7.6%8.5%unclear
Price cut before sale50%40%52%58%unclear
Seller paid closing costs or repairs54%72%60%58%unclear
Has a view71%40%Fewest72%96%Most✓ medium

4.3 Homes over 4,067 SF sell for about $1.19M (196%) more than homes under 2,749 SF

2026-10-29T06:48:47.077881 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,749 SF 24 sales 2,749– 3,307 SF 25 sales 3,334– 4,067 SF 25 sales Over 4,067 SF 24 sales $0K $1.00M $2.00M $609K $762K $1.04M $1.80M Net sale price, average

The average is $1.80M for homes over 4,067 SF and $609K for homes under 2,749 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 4,067 SF sell for about $98 per SF (36%) more than homes under 2,749 SF

2026-10-29T06:48:47.100047 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,749 SF 24 sales 2,749– 3,307 SF 25 sales 3,334– 4,067 SF 25 sales Over 4,067 SF 24 sales $0 $200 $400 $269 $252 $285 $366 Net price per SF, average

The average is $366 per SF for homes over 4,067 SF and $269 per SF for homes under 2,749 SF. It does not move in a straight line; homes over 4,067 SF are highest. Defined in 8.1.2.

✓ Real difference · large

4.5 Homes over 4,067 SF are about 8 years newer than homes under 2,749 SF

2026-10-29T06:48:47.123254 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,749 SF 24 sales 2,749– 3,307 SF 25 sales 3,334– 4,067 SF 25 sales Over 4,067 SF 24 sales 1999 2002 2005 2008 1999 2000 2005 2007 Year built: median (dot) and middle half (bar)

The median is 2007 for homes over 4,067 SF and 1999 for homes under 2,749 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.4.

✓ Real difference · large

4.6 Days on market: no clear difference

2026-10-29T06:48:47.146054 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,749 SF 24 sales 2,749– 3,307 SF 25 sales 3,334– 4,067 SF 25 sales Over 4,067 SF 24 sales 0 25 50 75 36 28 54 73 Days on market, median

The median is 73 days for homes over 4,067 SF and 36 days for homes under 2,749 SF. It does not move in a straight line; homes over 4,067 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-29T06:48:47.168267 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,749 SF 24 sales 2,749– 3,307 SF 25 sales 3,334– 4,067 SF 25 sales Over 4,067 SF 24 sales 0.0% 5.0% 10.0% 6.1% 5.2% 7.6% 8.5% Discount from original list, average

The average is 8.5% for homes over 4,067 SF and 6.1% for homes under 2,749 SF. It does not move in a straight line; homes over 4,067 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

2026-10-29T06:48:47.194231 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% 50 54 71 40 72 40 52 60 72 58 58 96 Under 2,749 SF 2,749–3,307 SF 3,334–4,067 SF Over 4,067 SF

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

  • 58% of homes over 4,067 SF had a price cut before sale, against 50% of homes under 2,749 SF. Defined in 8.1.7.
  • 58% of homes over 4,067 SF had the seller pay closing costs or repairs, against 54% of homes under 2,749 SF. Defined in 8.1.8.
  • 96% of homes over 4,067 SF have a view, against 71% of homes under 2,749 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: ✓ Real difference · medium

4.9 The numbers: price and size

Under 2,749 SF24 sales2,749–3,307 SF25 sales3,334–4,067 SF25 salesOver 4,067 SF24 salesAll98 salesReal difference?
Net sale price average$609,201$762,183$1,041,516$1,800,308$1,050,211✓ large
Net price per SF average$269$252$285$366$293✓ large
Living area average2,2873,0293,6414,7853,433by design
Year built median19992000200520072005✓ large

4.10 The numbers: selling

Under 2,749 SF24 sales2,749–3,307 SF25 sales3,334–4,067 SF25 salesOver 4,067 SF24 salesAll98 salesReal difference?
Days on market median3628547342unclear
Discount from original list average6.1%5.2%7.6%8.5%6.9%unclear
Price cut before sale50%40%52%58%50%unclear
Seller paid closing costs or repairs54%72%60%58%61%unclear
Has a view71%40%72%96%69%✓ 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 8.3.2.

5. Quartiles by year builtResale homes · 98 sales · May 2, 2026 – October 28, 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.

2026-10-29T06:48:47.214955 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 26 22 27 23 98 sales Sales per group Before 2000: 26 sales (27%) 2000–2004: 22 sales (22%) 2005–2007: 27 sales (28%) After 2007: 23 sales (23%)
Bottom line

5.1 Key differences

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

Before 20002000–20042005–2007After 2007
Newer homes After 2007
  • Sell for much more.
  • Sell for more per square foot.
  • Are much larger.
Older homes Before 2000
  • Sell for much less.
  • Sell for less per square foot.
  • Are much smaller.

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 20002000–20042005–2007After 2007Real difference?
Net sale price$702KLowest$898K$1.09M$1.54MHighest✓ large
Net price per SF$257 per SFLowest$265 per SF$292 per SF$360 per SFHighest✓ large
Living area2,720 SFSmallest3,330 SF3,653 SF4,082 SFLargest✓ large
Days on market28 days42 days52 days78 daysunclear
Discount from original list4.3%8.2%7.0%8.2%unclear
Price cut before sale35%59%56%52%unclear
Seller paid closing costs or repairs58%68%44%78%unclear
Has a view58%50%78%91%unclear

5.3 Homes built after 2007 sell for about $837K (119%) more than homes built before 2000

2026-10-29T06:48:47.235491 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2000 26 sales 2000– 2004 22 sales 2005– 2007 27 sales After 2007 23 sales $0K $500K $1.00M $1.50M $702K $898K $1.09M $1.54M Net sale price, average

The average is $1.54M for homes built after 2007 and $702K for homes built before 2000. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

✓ Real difference · large

5.4 Homes built after 2007 sell for about $102 per SF (40%) more than homes built before 2000

2026-10-29T06:48:47.258368 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2000 26 sales 2000– 2004 22 sales 2005– 2007 27 sales After 2007 23 sales $0 $200 $400 $257 $265 $292 $360 Net price per SF, average

The average is $360 per SF for homes built after 2007 and $257 per SF for homes built before 2000. It rises step by step from the lowest range to the highest. Defined in 8.1.2.

✓ Real difference · large

5.5 Homes built after 2007 are about 1,360 SF (50%) larger than homes built before 2000

2026-10-29T06:48:47.279910 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2000 26 sales 2000– 2004 22 sales 2005– 2007 27 sales After 2007 23 sales 0 2,000 4,000 2,720 3,330 3,653 4,082 Living area (SF), average

The average is 4,082 SF for homes built after 2007 and 2,720 SF for homes built before 2000. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

✓ Real difference · large

5.6 Days on market: no clear difference

2026-10-29T06:48:47.301682 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2000 26 sales 2000– 2004 22 sales 2005– 2007 27 sales After 2007 23 sales 0 25 50 75 28 42 52 78 Days on market, median

The median is 78 days for homes built after 2007 and 28 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

2026-10-29T06:48:47.324832 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2000 26 sales 2000– 2004 22 sales 2005– 2007 27 sales After 2007 23 sales 0.0% 2.5% 5.0% 7.5% 4.3% 8.2% 7.0% 8.2% Discount from original list, average

The average is 8.2% for homes built after 2007 and 4.3% for homes built before 2000. It does not move in a straight line; homes built 2000–2004 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

2026-10-29T06:48:47.350463 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% 35 58 58 59 68 50 56 44 78 52 78 91 Before 2000 2000–2004 2005–2007 After 2007

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

  • 52% of homes built after 2007 had a price cut before sale, against 35% of homes built before 2000. Defined in 8.1.7.
  • 78% of homes built after 2007 had the seller pay closing costs or repairs, against 58% of homes built before 2000. Defined in 8.1.8.
  • 91% of homes built after 2007 have a view, against 58% 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: – No clear difference · could be chance

5.9 The numbers: price and size

Before 200026 sales2000–200422 sales2005–200727 salesAfter 200723 salesAll98 salesReal difference?
Net sale price average$701,608$897,790$1,094,276$1,538,350$1,050,211✓ large
Net price per SF average$257$265$292$360$293✓ large
Living area average2,7203,3303,6534,0823,433✓ large
Year built median19972003200520102005by design

5.10 The numbers: selling

Before 200026 sales2000–200422 sales2005–200727 salesAfter 200723 salesAll98 salesReal difference?
Days on market median2842527842unclear
Discount from original list average4.3%8.2%7.0%8.2%6.9%unclear
Price cut before sale35%59%56%52%50%unclear
Seller paid closing costs or repairs58%68%44%78%61%unclear
Has a view58%50%78%91%69%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 · 98 sales · May 2, 2026 – October 28, 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. 2 sales whose MLS view entry is only “See Remarks” are left out.

2026-10-29T06:48:47.368462 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 68 28 96 sales Sales per group View: 68 sales (71%) No view: 28 sales (29%)
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
  • Tend to be newer.
  • Sell further below their first asking price.
  • Are larger.
Homes without a view no view listed
  • Tend to be older.
  • Sell closer to their first asking price.
  • Are smaller.

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$1.15M$782Kunclear
Net price per SF$305 per SF$261 per SFunclear
Living area3,591 SFLargest2,994 SFSmallest✓ medium
Year built2005Newest2000Oldest✓ medium
Days on market51 days29 daysunclear
Discount from original list7.6%Biggest5.3%Smallest✓ medium
Price cut before sale56%36%unclear
Seller paid closing costs or repairs66%50%unclear

6.3 Net sale price: no clear difference

2026-10-29T06:48:47.384664 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 68 sales No view 28 sales $0K $500K $1.00M $1.15M $782K Net sale price, average

The average is $1.15M for homes with a view and $782K for homes without a view. Defined in 8.1.1.

– No clear difference · could be chance

6.4 Net price per SF: no clear difference

2026-10-29T06:48:47.401656 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 68 sales No view 28 sales $0 $100 $200 $300 $305 $261 Net price per SF, average

The average is $305 per SF for homes with a view and $261 per SF for homes without a view. Defined in 8.1.2.

– No clear difference · could be chance

6.5 Homes with a view are about 600 SF (20%) larger than homes without a view

2026-10-29T06:48:47.441753 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 68 sales No view 28 sales 0 1,000 2,000 3,000 4,000 3,591 2,994 Living area (SF), average

The average is 3,591 SF for homes with a view and 2,994 SF for homes without a view. Defined in 8.1.3.

✓ Real difference · medium

6.6 Homes with a view are about 4 years newer than homes without a view

2026-10-29T06:48:47.461383 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 68 sales No view 28 sales 1999 2002 2005 2008 2005 2000 Year built: median (dot) and middle half (bar)

The median is 2005 for homes with a view and 2000 for homes without a view. Defined in 8.1.4.

✓ Real difference · medium

6.7 Days on market: no clear difference

2026-10-29T06:48:47.478698 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 68 sales No view 28 sales 0 20 40 60 51 29 Days on market, median

The median is 51 days for homes with a view and 29 days for homes without a view. Defined in 8.1.5.

– No clear difference · could be chance

6.8 Homes with a view sell about 2 percentage points further below their first asking price than homes without a view

2026-10-29T06:48:47.497789 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 68 sales No view 28 sales 0.0% 2.0% 4.0% 6.0% 8.0% 7.6% 5.3% Discount from original list, average

The average is 7.6% for homes with a view and 5.3% for homes without a view. Defined in 8.1.6.

✓ Real difference · medium

6.9 How often: price cut before sale, seller paid closing costs or repairs

2026-10-29T06:48:47.516665 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 56 66 36 50 View No view

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

  • 56% of homes with a view had a price cut before sale, against 36% of homes without a view. Defined in 8.1.7.
  • 66% of homes with a view had the seller pay closing costs or repairs, against 50% 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

View68 salesNo view28 salesAll96 salesReal difference?
Net sale price average$1,151,455$781,920$1,043,674unclear
Net price per SF average$305$261$292unclear
Living area average3,5912,9943,417✓ medium
Year built median200520002005✓ medium

6.11 The numbers: selling

View68 salesNo view28 salesAll96 salesReal difference?
Days on market median512942unclear
Discount from original list average7.6%5.3%6.9%✓ medium
Price cut before sale56%36%50%unclear
Seller paid closing costs or repairs66%50%61%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 · 0 sales · May 2, 2026 – October 28, 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: 0 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 Steiner Ranch.

No new-construction sales were reported in ABOR MLS in this window.

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
98 resale sales. Average $1,050,211; median $837,350; standard deviation $604,065; middle half (25th–75th percentile) $673,750–$1,157,750; lowest $498,877, highest $4,490,000. 60 sales had a seller payment; their median payment was $9,000.

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
98 resale sales. Average $293; median $271; standard deviation $71; middle half (25th–75th percentile) $247–$319; lowest $184, highest $595.

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
98 resale sales. Average 3,433; median 3,320; standard deviation 1,011; middle half (25th–75th percentile) 2,752–4,066; lowest 1,862, highest 7,540.

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
98 resale sales. Average 2004; median 2005; standard deviation 6; middle half (25th–75th percentile) 1999–2007; lowest 1988, highest 2020.

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
98 resale sales. Average 66; median 42; standard deviation 71; middle half (25th–75th percentile) 19–91; lowest 0, highest 378. 2 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
98 resale sales. Average 6.9%; median 6.1%; standard deviation 5.8%; middle half (25th–75th percentile) 3.3%–9.5%; lowest −8.0%, highest 32.3%. 3 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
49 of 98 resale sales (50.0%).

8.1.8 Seller paid closing costs or repairs

In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
60 of 98 resale sales (61.2%).

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
68 sales with a view, 28 without, 2 unclassified. Most common View entries: Park/Greenbelt 45, Trees/Woods 38, Neighborhood 36, Hill Country 25, Panoramic 13, None 13, Golf Course 9, Canyon 8.

8.2 Methods

8.2.1 Data source

In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
Bridge Interactive RESO Web API (OData), ABOR dataset, every field returned. Filter: StandardStatus = Closed, PropertyType = Residential, City = Austin, SubdivisionName contains any of “steiner ranch”, “steiner ranch river dance” (case-insensitive). A record is kept when its subdivision name belongs to the Steiner Ranch family, the same rule comparable sales use (it includes Steiner Ranch, River Dance, proven adjacent and priced alike).
The data
Pulled October 29, 2026: 168 closed Steiner Ranch records over the prior year, in ZIP 78732. 53 subdivision spellings kept, the most common: Steiner Ranch (34); Steiner Ranch Ph 01 Sec 02-A (10); Steiner Ranch Ph 01 Sec 09 (10); Steiner Ranch Ph 01 Sec 08 (9); Steiner Ranch Ph 01 Sec 7A (8); Steiner Ranch Ph 02 Sec 05 (7); Steiner Ranch Ph 01 Sec 03 (6); Steiner Ranch Ph 01 Sec 10B (6); Steiner Ranch Ph 01 Sec 01 (5); Steiner Ranch Ph 01 Sec 06B (5); Steiner Ranch Ph 01 Sec 10C (5); Steiner Ranch Ph 01 Sec 10A (4); and 41 more (59 records). Names found by the search but not part of Steiner Ranch, left out: Steiner Ranch Parkside (8); Lakeview At Steiner Ranch (2); The Retreat at Steiner Ranch (2); Fairways At Steiner Ranch (2); Steiner Ranch Casitas Sub-Cond (2); River Dance Ph 03- Steiner Ranch (1); View At Steiner Ranch Condomin (1); Steiner Ranch I River Dance (1); Steiner Ranch Phs 1 Sec 3 (1); The Grove at Steiner Ranch (1); Steiner Ranch Casitas (1); STEINER RANCH PHS 2 SEC 3 C (1); River Dance Ph 6A, Steiner Ranch (1); STEINER RANCH PHS 1 SEC 5B (1); River Dance Steiner Ranch (1); Steiner Ranch Phs 1 Sec 10b (1).

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 2, 2026 to October 28, 2026 inclusive.
The data
98 single-family sales in the window: 98 resale, 0 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
98 resale; 0 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 $670K”.
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 $670K: $498,877–$650,000 (24 sales); $670K–$835K: $670,000–$835,000 (25 sales); $840K–$1.16M: $839,700–$1,158,000 (25 sales); Over $1.16M: $1,165,000–$4,490,000 (24 sales)
Quartiles by living area: Under 2,749 SF: 1,862–2,721 SF (24 sales); 2,749–3,307 SF: 2,749–3,307 SF (25 sales); 3,334–4,067 SF: 3,334–4,067 SF (25 sales); Over 4,067 SF: 4,100–7,540 SF (24 sales)
Quartiles by year built: Before 2000: 1988–1999 (26 sales); 2000–2004: 2000–2004 (22 sales); 2005–2007: 2005–2007 (27 sales); After 2007: 2008–2020 (23 sales)
View and no view: View: MLS lists a view (68 sales); No view: None or Neighborhood (28 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 $1,050,211, median $837,350. Days on market: average 66, median 42: 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
14 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 = 54.293< 0.0001p < 0.0063Yesε² = 0.560large
Living areaKruskal–WallisH = 78.763< 0.0001p < 0.0063Yesε² = 0.812large
Year builtKruskal–WallisH = 28.413< 0.0001p < 0.0063Yesε² = 0.293large
Days on marketKruskal–WallisH = 6.3030.0978p < 0.0063Unclearε² = 0.065medium
Discount from original listKruskal–WallisH = 4.6530.1993p < 0.0063Unclearε² = 0.048small
Price cut before saleChi-squareχ² = 1.0530.7883p < 0.0063UnclearCramér’s V = 0.104small
Seller paid closing costs or repairsChi-squareχ² = 0.2030.9779p < 0.0063UnclearCramér’s V = 0.045negligible
Has a viewChi-squareχ² = 19.6030.0002p < 0.0063YesCramér’s V = 0.447medium

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 79.153< 0.0001p < 0.0063Yesε² = 0.816large
Net price per SFKruskal–WallisH = 35.473< 0.0001p < 0.0063Yesε² = 0.366large
Year builtKruskal–WallisH = 28.013< 0.0001p < 0.0063Yesε² = 0.289large
Days on marketKruskal–WallisH = 11.6030.0089p < 0.0063Unclearε² = 0.120medium
Discount from original listKruskal–WallisH = 5.0930.1656p < 0.0063Unclearε² = 0.052small
Price cut before saleChi-squareχ² = 1.7130.6355p < 0.0063UnclearCramér’s V = 0.132small
Seller paid closing costs or repairsChi-squareχ² = 1.8330.6092p < 0.0063UnclearCramér’s V = 0.137small
Has a viewChi-squareχ² = 18.1730.0004p < 0.0063YesCramér’s V = 0.431medium

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 30.573< 0.0001p < 0.0063Yesε² = 0.315large
Net price per SFKruskal–WallisH = 29.263< 0.0001p < 0.0063Yesε² = 0.302large
Living areaKruskal–WallisH = 25.313< 0.0001p < 0.0063Yesε² = 0.261large
Days on marketKruskal–WallisH = 8.8430.0315p < 0.0063Unclearε² = 0.091medium
Discount from original listKruskal–WallisH = 8.4130.0383p < 0.0063Unclearε² = 0.087medium
Price cut before saleChi-squareχ² = 3.5730.3124p < 0.0063UnclearCramér’s V = 0.191small
Seller paid closing costs or repairsChi-squareχ² = 6.6030.0858p < 0.0063UnclearCramér’s V = 0.260small
Has a viewChi-squareχ² = 11.6630.0086p < 0.0063UnclearCramér’s V = 0.345medium

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 1,274.50—0.0094p < 0.0063Unclearrank-biserial r = 0.339medium
Net price per SFMann–Whitney UU = 1,282.00—0.0079p < 0.0063Unclearrank-biserial r = 0.347medium
Living areaMann–Whitney UU = 1,294.00—0.0059p < 0.0063Yesrank-biserial r = 0.359medium
Year builtMann–Whitney UU = 1,343.00—0.0016p < 0.0063Yesrank-biserial r = 0.411medium
Days on marketMann–Whitney UU = 1,227.00—0.0269p < 0.0063Unclearrank-biserial r = 0.289small
Discount from original listMann–Whitney UU = 1,312.00—0.0038p < 0.0063Yesrank-biserial r = 0.378medium
Price cut before saleChi-squareχ² = 3.2310.0724p < 0.0063UnclearCramér’s V = 0.183small
Seller paid closing costs or repairsChi-squareχ² = 2.1910.1388p < 0.0063UnclearCramér’s V = 0.151small

8.4 Data notes

Left out of the analysis: 0 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

  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 98 closed MLS resale sales; the 0 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled October 29, 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.