ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Harris Branch

Austin, TX 78754
Resale homes · closed Nov 8 – Nov 7, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
November 8, 2026 · 3:49 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
20
single-family resale homes
Median net sale price
$339,634
average $336,758
Median net price per SF
$179
average $173
Median days on market
76 days
average 85 days
1. SummaryResale homes · 20 sales · November 8, 2025 – November 7, 2026

This study looks at the 20 resale homes sold in Harris Branch in the 365 days to November 7, 2026. A full year is used because only 9 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 sold20 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 $305K · 5 sales$305K–$336K · 5 sales$343K–$367K · 5 salesOver $367K · 5 sales
3. Quartiles by net sale priceResale homes · 20 sales · November 8, 2025 – November 7, 2026

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

2026-11-08T03:49:51.814335 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 5 5 20 sales Sales per group Under $305K: 5 sales (25%) $305K–$336K: 5 sales (25%) $343K–$367K: 5 sales (25%) Over $367K: 5 sales (25%)
Bottom line: no measure differs enough between the groups to rule out chance.

3.1 Key differences

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

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 $305K$305K–$336K$343K–$367KOver $367KReal difference?
Net price per SF$180 per SF$180 per SF$171 per SF$163 per SFunclear
Living area1,674 SF1,813 SF2,135 SF2,406 SFunclear
Year built2018199319921999unclear
Days on market138 days60 days133 days28 daysunclear
Discount from original list13.3%9.0%11.2%5.5%unclear
Price cut before sale80%60%80%60%unclear
Seller paid closing costs or repairs80%100%80%80%unclear
Has a view20%20%60%40%unclear

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

3.3 Net price per SF: no clear difference

2026-11-08T03:49:51.909990 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $305K 5 sales $305K– $336K 5 sales $343K– $367K 5 sales Over $367K 5 sales $0 $100 $200 $180 $180 $171 $163 Net price per SF, average

The average is $163 per SF for homes over $367K and $180 per SF for homes under $305K. It does not move in a straight line; homes $305K–$336K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Living area: no clear difference

2026-11-08T03:49:51.996744 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $305K 5 sales $305K– $336K 5 sales $343K– $367K 5 sales Over $367K 5 sales 0 1,000 2,000 1,674 1,813 2,135 2,406 Living area (SF), average

The average is 2,406 SF for homes over $367K and 1,674 SF for homes under $305K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

– No clear difference · could be chance

3.5 Year built: no clear difference

2026-11-08T03:49:52.043057 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $305K 5 sales $305K– $336K 5 sales $343K– $367K 5 sales Over $367K 5 sales 1992 1998 2004 2010 2016 2018 1993 1992 1999 Year built: median (dot) and middle half (bar)

The median is 1999 for homes over $367K and 2018 for homes under $305K. It does not move in a straight line; homes under $305K are highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-11-08T03:49:52.091303 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $305K 5 sales $305K– $336K 5 sales $343K– $367K 5 sales Over $367K 5 sales 0 50 100 150 138 60 133 28 Days on market, median

The median is 28 days for homes over $367K and 138 days for homes under $305K. It does not move in a straight line; homes under $305K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-11-08T03:49:52.133191 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $305K 5 sales $305K– $336K 5 sales $343K– $367K 5 sales Over $367K 5 sales 0.0% 5.0% 10.0% 15.0% 13.3% 9.0% 11.2% 5.5% Discount from original list, average

The average is 5.5% for homes over $367K and 13.3% for homes under $305K. It does not move in a straight line; homes under $305K 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

2026-11-08T03:49:52.177985 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% 80% 80% 20% 60% 100% 20% 80% 80% 60% 60% 80% 40% Under $305K $305K–$336K $343K–$367K Over $367K

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

  • 60% of homes over $367K had a price cut before sale, against 80% of homes under $305K. Defined in 8.1.7.
  • 80% of homes over $367K had the seller pay closing costs or repairs, against 80% of homes under $305K. Defined in 8.1.8.
  • 40% of homes over $367K have a view, against 20% of homes under $305K. 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 $305K5 sales$305K–$336K5 sales$343K–$367K5 salesOver $367K5 salesAll20 salesReal difference?
Net sale price average$284,446$323,230$351,553$387,802$336,758by design
Net price per SF average$180$180$171$163$173unclear
Living area average1,6741,8132,1352,4062,007unclear
Year built median20181993199219992000unclear

3.10 The numbers: selling

Under $305K5 sales$305K–$336K5 sales$343K–$367K5 salesOver $367K5 salesAll20 salesReal difference?
Days on market median138601332876unclear
Discount from original list average13.3%9.0%11.2%5.5%9.7%unclear
Price cut before sale80%60%80%60%70%unclear
Seller paid closing costs or repairs80%100%80%80%85%unclear
Has a view20%20%60%40%35%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 · 20 sales · November 8, 2025 – November 7, 2026

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

2026-11-08T03:49:52.216320 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 5 5 20 sales Sales per group Under 1,667 SF: 5 sales (25%) 1,667–1,919 SF: 5 sales (25%) 1,943–2,361 SF: 5 sales (25%) Over 2,361 SF: 5 sales (25%)
Bottom line

4.1 Key differences

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

Under 1,667 SF1,667–1,919 SF1,943–2,361 SFOver 2,361 SF
Larger homes Over 2,361 SF
  • Sell for less per square foot.
Smaller homes Under 1,667 SF
  • Sell for more per square foot.

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 1,667 SF1,667–1,919 SF1,943–2,361 SFOver 2,361 SFReal difference?
Net sale price$301K$338K$357K$351Kunclear
Net price per SF$203 per SFHighest$189 per SF$167 per SF$135 per SFLowest✓ large
Year built2018201219951999unclear
Days on market60 days133 days28 days76 daysunclear
Discount from original list9.0%8.3%6.9%14.9%unclear
Price cut before sale80%60%60%80%unclear
Seller paid closing costs or repairs100%80%80%80%unclear
Has a view40%40%20%40%unclear

4.3 Net sale price: no clear difference

2026-11-08T03:49:52.247684 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,667 SF 5 sales 1,667– 1,919 SF 5 sales 1,943– 2,361 SF 5 sales Over 2,361 SF 5 sales $0K $200K $400K $301K $338K $357K $351K Net sale price, average

The average is $351K for homes over 2,361 SF and $301K for homes under 1,667 SF. It does not move in a straight line; homes 1,943–2,361 SF are highest. Defined in 8.1.1.

– No clear difference · could be chance

4.4 Homes over 2,361 SF sell for about $68 per SF (34%) less than homes under 1,667 SF

2026-11-08T03:49:52.283550 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,667 SF 5 sales 1,667– 1,919 SF 5 sales 1,943– 2,361 SF 5 sales Over 2,361 SF 5 sales $0 $100 $200 $203 $189 $167 $135 Net price per SF, average

The average is $135 per SF for homes over 2,361 SF and $203 per SF for homes under 1,667 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

✓ Real difference · large

4.5 Year built: no clear difference

2026-11-08T03:49:52.322781 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,667 SF 5 sales 1,667– 1,919 SF 5 sales 1,943– 2,361 SF 5 sales Over 2,361 SF 5 sales 1992 1998 2004 2010 2016 2018 2012 1995 1999 Year built: median (dot) and middle half (bar)

The median is 1999 for homes over 2,361 SF and 2018 for homes under 1,667 SF. It does not move in a straight line; homes under 1,667 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-11-08T03:49:52.369370 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,667 SF 5 sales 1,667– 1,919 SF 5 sales 1,943– 2,361 SF 5 sales Over 2,361 SF 5 sales 0 50 100 150 60 133 28 76 Days on market, median

The median is 76 days for homes over 2,361 SF and 60 days for homes under 1,667 SF. It does not move in a straight line; homes 1,667–1,919 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-11-08T03:49:52.410994 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,667 SF 5 sales 1,667– 1,919 SF 5 sales 1,943– 2,361 SF 5 sales Over 2,361 SF 5 sales 0.0% 5.0% 10.0% 15.0% 9.0% 8.3% 6.9% 14.9% Discount from original list, average

The average is 14.9% for homes over 2,361 SF and 9.0% for homes under 1,667 SF. It does not move in a straight line; homes over 2,361 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

2026-11-08T03:49:52.454038 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% 80% 100% 40% 60% 80% 40% 60% 80% 20% 80% 80% 40% Under 1,667 SF 1,667–1,919 SF 1,943–2,361 SF Over 2,361 SF

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

  • 80% of homes over 2,361 SF had a price cut before sale, against 80% of homes under 1,667 SF. Defined in 8.1.7.
  • 80% of homes over 2,361 SF had the seller pay closing costs or repairs, against 100% of homes under 1,667 SF. Defined in 8.1.8.
  • 40% of homes over 2,361 SF have a view, against 40% of homes under 1,667 SF. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance

4.9 The numbers: price and size

Under 1,667 SF5 sales1,667–1,919 SF5 sales1,943–2,361 SF5 salesOver 2,361 SF5 salesAll20 salesReal difference?
Net sale price average$301,036$337,560$357,482$350,953$336,758unclear
Net price per SF average$203$189$167$135$173✓ large
Living area average1,4911,7872,1442,6052,007by design
Year built median20182012199519992000unclear

4.10 The numbers: selling

Under 1,667 SF5 sales1,667–1,919 SF5 sales1,943–2,361 SF5 salesOver 2,361 SF5 salesAll20 salesReal difference?
Days on market median60133287676unclear
Discount from original list average9.0%8.3%6.9%14.9%9.7%unclear
Price cut before sale80%60%60%80%70%unclear
Seller paid closing costs or repairs100%80%80%80%85%unclear
Has a view40%40%20%40%35%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 · 20 sales · November 8, 2025 – November 7, 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.

2026-11-08T03:49:52.497065 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 4 6 20 sales Sales per group Before 1993: 5 sales (25%) 1993–1999: 5 sales (25%) 2001–2012: 4 sales (20%) After 2012: 6 sales (30%)
Bottom line: too few sales to test.

5.1 Key differences

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

5.3 Net sale price: described, not tested

2026-11-08T03:49:52.535708 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1993 5 sales 1993– 1999 5 sales 2001– 2012 4 sales After 2012 6 sales $0K $200K $400K $342K $355K $350K $309K Net sale price, average

The average is $309K for homes built after 2012 and $342K for homes built before 1993. It does not move in a straight line; homes built 1993–1999 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-11-08T03:49:52.579333 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1993 5 sales 1993– 1999 5 sales 2001– 2012 4 sales After 2012 6 sales $0 $100 $200 $178 $155 $153 $198 Net price per SF, average

The average is $198 per SF for homes built after 2012 and $178 per SF for homes built before 1993. It does not move in a straight line; homes built after 2012 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-11-08T03:49:52.616568 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1993 5 sales 1993– 1999 5 sales 2001– 2012 4 sales After 2012 6 sales 0 1,000 2,000 1,962 2,323 2,325 1,568 Living area (SF), average

The average is 1,568 SF for homes built after 2012 and 1,962 SF for homes built before 1993. It does not move in a straight line; homes built 2001–2012 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-11-08T03:49:52.662285 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1993 5 sales 1993– 1999 5 sales 2001– 2012 4 sales After 2012 6 sales 0 50 100 82 77 52 87 Days on market, median

The median is 87 days for homes built after 2012 and 82 days for homes built before 1993. It does not move in a straight line; homes built after 2012 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-11-08T03:49:52.705147 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1993 5 sales 1993– 1999 5 sales 2001– 2012 4 sales After 2012 6 sales 0.0% 5.0% 10.0% 15.0% 12.5% 5.9% 13.6% 8.1% Discount from original list, average

The average is 8.1% for homes built after 2012 and 12.5% for homes built before 1993. It does not move in a straight line; homes built 2001–2012 are highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-11-08T03:49:52.749303 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% 80% 80% 40% 60% 100% 20% 75% 50% 25% 67% 100% 50% Before 1993 1993–1999 2001–2012 After 2012

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

  • 67% of homes built after 2012 had a price cut before sale, against 80% of homes built before 1993. Defined in 8.1.7.
  • 100% of homes built after 2012 had the seller pay closing costs or repairs, against 80% of homes built before 1993. Defined in 8.1.8.
  • 50% of homes built after 2012 have a view, against 40% of homes built before 1993. Defined in 8.1.9.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.
Has a view: Not tested: too few sales.

5.9 The numbers: price and size

Before 19935 sales1993–19995 sales2001–20124 salesAfter 20126 salesAll20 sales
Net sale price average$341,600$354,935$349,950$308,780$336,758
Net price per SF average$178$155$153$198$173
Living area average1,9622,3232,3251,5682,007
Year built median19911995200120182000

5.10 The numbers: selling

Before 19935 sales1993–19995 sales2001–20124 salesAfter 20126 salesAll20 sales
Days on market median8277528776
Discount from original list average12.5%5.9%13.6%8.1%9.7%
Price cut before sale80%60%75%67%70%
Seller paid closing costs or repairs80%100%50%100%85%
Has a view40%20%25%50%35%

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 · 20 sales · November 8, 2025 – November 7, 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.

2026-11-08T03:49:52.787072 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 7 13 20 sales Sales per group View: 7 sales (35%) No view: 13 sales (65%)
Bottom line: no measure differs enough between the groups to rule out chance.

6.1 Key differences

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

6.2 At a glance

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

ViewNo viewReal difference?
Net sale price$353K$328Kunclear
Net price per SF$179 per SF$170 per SFunclear
Living area2,006 SF2,007 SFunclear
Year built20011999unclear
Days on market95 days76 daysunclear
Discount from original list9.9%9.7%unclear
Price cut before sale86%62%unclear
Seller paid closing costs or repairs71%92%unclear

6.3 Net sale price: no clear difference

2026-11-08T03:49:52.816365 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 7 sales No view 13 sales $0K $100K $200K $300K $400K $353K $328K Net sale price, average

The average is $353K for homes with a view and $328K 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

2026-11-08T03:49:52.851780 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 7 sales No view 13 sales $0 $50 $100 $150 $200 $179 $170 Net price per SF, average

The average is $179 per SF for homes with a view and $170 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

2026-11-08T03:49:52.890547 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 7 sales No view 13 sales 0 500 1,000 1,500 2,000 2,006 2,007 Living area (SF), average

The average is 2,006 SF for homes with a view and 2,007 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-11-08T03:49:53.100796 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 7 sales No view 13 sales 1992 1998 2004 2010 2016 2001 1999 Year built: median (dot) and middle half (bar)

The median is 2001 for homes with a view and 1999 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-11-08T03:49:53.137542 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 7 sales No view 13 sales 0 25 50 75 100 95 76 Days on market, median

The median is 95 days for homes with a view and 76 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

2026-11-08T03:49:53.175372 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 7 sales No view 13 sales 0.0% 2.5% 5.0% 7.5% 10.0% 9.9% 9.7% Discount from original list, average

The average is 9.9% for homes with a view and 9.7% 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

2026-11-08T03:49:53.206480 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 86% 71% 62% 92% View No view

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

  • 86% of homes with a view had a price cut before sale, against 62% of homes without a view. Defined in 8.1.7.
  • 71% of homes with a view had the seller pay closing costs or repairs, against 92% 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

View7 salesNo view13 salesAll20 salesReal difference?
Net sale price average$353,240$327,883$336,758unclear
Net price per SF average$179$170$173unclear
Living area average2,0062,0072,007unclear
Year built median200119992000unclear

6.11 The numbers: selling

View7 salesNo view13 salesAll20 salesReal difference?
Days on market median957676unclear
Discount from original list average9.9%9.7%9.7%unclear
Price cut before sale86%62%70%unclear
Seller paid closing costs or repairs71%92%85%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 · November 8, 2025 – November 7, 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: 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 Harris Branch.

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
20 resale sales. Average $336,758; median $339,634; standard deviation $41,692; middle half (25th–75th percentile) $304,500–$367,628; lowest $262,000, highest $425,000. 17 sales had a seller payment; their median payment was $5,490.

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
20 resale sales. Average $173; median $179; standard deviation $30; middle half (25th–75th percentile) $150–$197; lowest $113, highest $217.

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
20 resale sales. Average 2,007; median 1,931; standard deviation 453; middle half (25th–75th percentile) 1,664–2,380; lowest 1,205, highest 2,820.

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
20 resale sales. Average 2003; median 2000; standard deviation 12; middle half (25th–75th percentile) 1993–2018; 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
20 resale sales. Average 85; median 76; standard deviation 62; middle half (25th–75th percentile) 28–134; lowest 6, highest 219. 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
20 resale sales. Average 9.7%; median 8.5%; standard deviation 6.4%; middle half (25th–75th percentile) 5.2%–15.9%; lowest −1.4%, highest 21.1%. 1 sales closed above their first asking price.

8.1.7 Price cut before sale

In simple terms
The asking price was lowered at least once before the home went under contract.
Statistically
Indicator: ListPrice at close < OriginalListPrice. Reported as the share of sales (%).
The data
14 of 20 resale sales (70.0%).

8.1.8 Seller paid closing costs or repairs

In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
17 of 20 resale sales (85.0%).

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
7 sales with a view, 13 without, 0 unclassified. Most common View entries: Neighborhood 7, None 7, Park/Greenbelt 2, Trees/Woods 2, Hill Country 2, Creek/Stream 1, Skyline 1.

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 2026-11-08 09:45 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Austin, SubdivisionName contains any of “harris branch”, “fairview heights” (case-insensitive). A record is kept when its subdivision name belongs to the Harris Branch family, the same rule comparable sales use (it includes Fairview Heights, proven adjacent and priced alike).
The data
Pulled November 8, 2026: 21 closed Harris Branch records over the prior year, in ZIP 78754. 7 subdivision spellings kept: Harris Branch Ph 01-D (5); Fairview Heights (5); Harris Branch Ph 01-A Sec 02 (4); Harris Branch Ph 01-A Sec 03 (3); Harris Branch (2); HARRIS BRANCH (1); Harris Branch Ph 01-B Sec 02 (1). Names found by the search but not part of Harris Branch, left out: HARRIS BRANCH PHS 1-A SEC II (1); HARRIS BRANCH PHS 1 A SEC II (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 9 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from November 8, 2025 to November 7, 2026 inclusive.
The data
20 single-family sales in the window: 20 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
20 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
1 sale(s) with concessions above 10% of 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 $305K”.
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 $305K: $262,000–$303,000 (5 sales); $305K–$336K: $305,000–$336,000 (5 sales); $343K–$367K: $343,267–$367,000 (5 sales); Over $367K: $369,510–$425,000 (5 sales)
Quartiles by living area: Under 1,667 SF: 1,205–1,655 SF (5 sales); 1,667–1,919 SF: 1,667–1,919 SF (5 sales); 1,943–2,361 SF: 1,943–2,361 SF (5 sales); Over 2,361 SF: 2,438–2,820 SF (5 sales)
Quartiles by year built: Before 1993: 1988–1992 (5 sales); 1993–1999: 1993–1999 (5 sales); 2001–2012: 2001–2012 (4 sales); After 2012: 2018–2020 (6 sales)
View and no view: View: MLS lists a view (7 sales); No view: None or Neighborhood (13 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 $336,758, median $339,634. Days on market: average 85, median 76: 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; 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
1 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 = 1.3530.7163p < 0.0063Unclearε² = 0.071medium
Living areaKruskal–WallisH = 7.7130.0524p < 0.0063Unclearε² = 0.406large
Year builtKruskal–WallisH = 5.7430.1247p < 0.0063Unclearε² = 0.302large
Days on marketKruskal–WallisH = 6.2530.1000p < 0.0063Unclearε² = 0.329large
Discount from original listKruskal–WallisH = 4.6030.2035p < 0.0063Unclearε² = 0.242large
Price cut before saleChi-squareχ² = 0.9530.8128p < 0.0063UnclearCramér’s V = 0.218small
Seller paid closing costs or repairsChi-squareχ² = 1.1830.7587p < 0.0063UnclearCramér’s V = 0.243small
Has a viewChi-squareχ² = 2.4230.4904p < 0.0063UnclearCramér’s V = 0.348medium

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 5.8230.1206p < 0.0063Unclearε² = 0.306large
Net price per SFKruskal–WallisH = 14.1130.0028p < 0.0063Yesε² = 0.743large
Year builtKruskal–WallisH = 3.7030.2955p < 0.0063Unclearε² = 0.195large
Days on marketKruskal–WallisH = 3.2630.3530p < 0.0063Unclearε² = 0.172large
Discount from original listKruskal–WallisH = 4.2130.2395p < 0.0063Unclearε² = 0.222large
Price cut before saleChi-squareχ² = 0.9530.8128p < 0.0063UnclearCramér’s V = 0.218small
Seller paid closing costs or repairsChi-squareχ² = 1.1830.7587p < 0.0063UnclearCramér’s V = 0.243small
Has a viewChi-squareχ² = 0.6630.8827p < 0.0063UnclearCramér’s V = 0.182small

8.3.3 Quartiles by year built

Too few sales in a group to test.

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 62.00—0.2106p < 0.0063Unclearrank-biserial r = 0.363medium
Net price per SFMann–Whitney UU = 53.00—0.5880p < 0.0063Unclearrank-biserial r = 0.165small
Living areaMann–Whitney UU = 43.50—0.9053p < 0.0063Unclearrank-biserial r = 0.044negligible
Year builtMann–Whitney UU = 55.00—0.4729p < 0.0063Unclearrank-biserial r = 0.209small
Days on marketMann–Whitney UU = 53.00—0.5788p < 0.0063Unclearrank-biserial r = 0.165small
Discount from original listMann–Whitney UU = 45.00—1.0000p < 0.0063Unclearrank-biserial r = 0.011negligible
Price cut before saleChi-squareχ² = 1.2710.2605p < 0.0063UnclearCramér’s V = 0.252small
Seller paid closing costs or repairsChi-squareχ² = 1.5610.2123p < 0.0063UnclearCramér’s V = 0.279small

8.4 Data notes

Left out of the analysis: 0 new-construction sales (basic statistics only, section 7); 1 sale(s) with concessions above 10% of 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 20 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 November 8, 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.