ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Allandale Park Sec 06

Austin, TX 78757
Resale homes · closed Oct 28 – Oct 27, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
October 28, 2026 · 7:27 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, 365 days
44
single-family resale homes
Median net sale price
$867,375
average $906,910
Median net price per SF
$432
average $432
Median days on market
42 days
average 64 days
1. SummaryResale homes · 44 sales · October 28, 2025 – October 27, 2026

This study looks at the 44 resale homes sold in Allandale Park Sec 06 in the 365 days to October 27, 2026. A full year is used because only 21 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 sold44 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 $721K · 11 sales$721K–$857K · 11 sales$878K–$975K · 11 salesOver $975K · 11 sales
3. Quartiles by net sale priceResale homes · 44 sales · October 28, 2025 – October 27, 2026

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

2026-10-28T07:27:48.335646 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 11 11 11 11 44 sales Sales per group Under $721K: 11 sales (25%) $721K–$857K: 11 sales (25%) $878K–$975K: 11 sales (25%) Over $975K: 11 sales (25%)
Bottom line

3.1 Key differences

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

Under $721K$721K–$857K$878K–$975KOver $975K
Higher-priced homes Over $975K
  • Are much larger.
Lower-priced homes Under $721K
  • Are much smaller.

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 $721K$721K–$857K$878K–$975KOver $975KReal difference?
Net price per SF$409 per SF$420 per SF$424 per SF$473 per SFunclear
Living area1,634 SFSmallest1,991 SF2,271 SF2,591 SFLargest✓ large
Year built1964196219621962unclear
Days on market74 days24 days38 days41 daysunclear
Discount from original list9.4%3.4%8.6%7.2%unclear
Price cut before sale55%27%45%45%unclear
Seller paid closing costs or repairs18%73%55%64%unclear
Has a view9%18%0%36%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

2026-10-28T07:27:48.363646 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $721K 11 sales $721K– $857K 11 sales $878K– $975K 11 sales Over $975K 11 sales $0 $200 $400 $409 $420 $424 $473 Net price per SF, average

The average is $473 per SF for homes over $975K and $409 per SF for homes under $721K. It rises step by step from the lowest range to the highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Homes over $975K are about 960 SF (59%) larger than homes under $721K

2026-10-28T07:27:48.385254 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $721K 11 sales $721K– $857K 11 sales $878K– $975K 11 sales Over $975K 11 sales 0 1,000 2,000 3,000 1,634 1,991 2,271 2,591 Living area (SF), average

The average is 2,591 SF for homes over $975K and 1,634 SF for homes under $721K. 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

2026-10-28T07:27:48.407671 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $721K 11 sales $721K– $857K 11 sales $878K– $975K 11 sales Over $975K 11 sales 1962 1964 1966 1964 1962 1962 1962 Year built: median (dot) and middle half (bar)

The median is 1962 for homes over $975K and 1964 for homes under $721K. It falls 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

2026-10-28T07:27:48.429889 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $721K 11 sales $721K– $857K 11 sales $878K– $975K 11 sales Over $975K 11 sales 0 25 50 75 74 24 38 41 Days on market, median

The median is 41 days for homes over $975K and 74 days for homes under $721K. It does not move in a straight line; homes under $721K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-28T07:27:48.451745 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $721K 11 sales $721K– $857K 11 sales $878K– $975K 11 sales Over $975K 11 sales 0.0% 5.0% 10.0% 9.4% 3.4% 8.6% 7.2% Discount from original list, average

The average is 7.2% for homes over $975K and 9.4% for homes under $721K. It does not move in a straight line; homes under $721K 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

2026-10-28T07:27:48.481173 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% 55 18 9 27 73 18 45 55 0 45 64 36 Under $721K $721K–$857K $878K–$975K Over $975K

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

  • 45% of homes over $975K had a price cut before sale, against 55% of homes under $721K. Defined in 8.1.7.
  • 64% of homes over $975K had the seller pay closing costs or repairs, against 18% of homes under $721K. Defined in 8.1.8.
  • 36% of homes over $975K have a view, against 9% of homes under $721K. 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 $721K11 sales$721K–$857K11 sales$878K–$975K11 salesOver $975K11 salesAll44 salesReal difference?
Net sale price average$659,549$817,018$928,709$1,222,364$906,910by design
Net price per SF average$409$420$424$473$432unclear
Living area average1,6341,9912,2712,5912,122✓ large
Year built median19641962196219621962unclear

3.10 The numbers: selling

Under $721K11 sales$721K–$857K11 sales$878K–$975K11 salesOver $975K11 salesAll44 salesReal difference?
Days on market median7424384142unclear
Discount from original list average9.4%3.4%8.6%7.2%7.1%unclear
Price cut before sale55%27%45%45%43%unclear
Seller paid closing costs or repairs18%73%55%64%52%unclear
Has a view9%18%0%36%16%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 · 44 sales · October 28, 2025 – October 27, 2026

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

2026-10-28T07:27:48.501287 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 11 11 11 11 44 sales Sales per group Under 1,748 SF: 11 sales (25%) 1,748–2,043 SF: 11 sales (25%) 2,104–2,438 SF: 11 sales (25%) Over 2,438 SF: 11 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 1,748 SF1,748–2,043 SF2,104–2,438 SFOver 2,438 SF
Larger homes Over 2,438 SF
  • Sell for much more.
Smaller homes Under 1,748 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 1,748 SF1,748–2,043 SF2,104–2,438 SFOver 2,438 SFReal difference?
Net sale price$706KLowest$811K$956K$1.15MHighest✓ large
Net price per SF$457 per SF$425 per SF$424 per SF$421 per SFunclear
Year built1964196219621962unclear
Days on market42 days41 days38 days71 daysunclear
Discount from original list5.4%5.2%9.6%8.3%unclear
Price cut before sale36%45%45%45%unclear
Seller paid closing costs or repairs45%55%55%55%unclear
Has a view0%9%18%36%unclear

4.3 Homes over 2,438 SF sell for about $449K (64%) more than homes under 1,748 SF

2026-10-28T07:27:48.521909 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,748 SF 11 sales 1,748– 2,043 SF 11 sales 2,104– 2,438 SF 11 sales Over 2,438 SF 11 sales $0K $500K $1.00M $706K $811K $956K $1.15M Net sale price, average

The average is $1.15M for homes over 2,438 SF and $706K for homes under 1,748 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

2026-10-28T07:27:48.544259 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,748 SF 11 sales 1,748– 2,043 SF 11 sales 2,104– 2,438 SF 11 sales Over 2,438 SF 11 sales $0 $200 $400 $457 $425 $424 $421 Net price per SF, average

The average is $421 per SF for homes over 2,438 SF and $457 per SF for homes under 1,748 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

2026-10-28T07:27:48.567011 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,748 SF 11 sales 1,748– 2,043 SF 11 sales 2,104– 2,438 SF 11 sales Over 2,438 SF 11 sales 1960 1962 1964 1966 1964 1962 1962 1962 Year built: median (dot) and middle half (bar)

The median is 1962 for homes over 2,438 SF and 1964 for homes under 1,748 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-10-28T07:27:48.589579 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,748 SF 11 sales 1,748– 2,043 SF 11 sales 2,104– 2,438 SF 11 sales Over 2,438 SF 11 sales 0 25 50 75 42 41 38 71 Days on market, median

The median is 71 days for homes over 2,438 SF and 42 days for homes under 1,748 SF. It does not move in a straight line; homes over 2,438 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-28T07:27:48.611769 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,748 SF 11 sales 1,748– 2,043 SF 11 sales 2,104– 2,438 SF 11 sales Over 2,438 SF 11 sales 0.0% 5.0% 10.0% 5.4% 5.2% 9.6% 8.3% Discount from original list, average

The average is 8.3% for homes over 2,438 SF and 5.4% for homes under 1,748 SF. It does not move in a straight line; homes 2,104–2,438 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

2026-10-28T07:27:48.637601 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% 36 45 0 45 55 9 45 55 18 45 55 36 Under 1,748 SF 1,748–2,043 SF 2,104–2,438 SF Over 2,438 SF

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

  • 45% of homes over 2,438 SF had a price cut before sale, against 36% of homes under 1,748 SF. Defined in 8.1.7.
  • 55% of homes over 2,438 SF had the seller pay closing costs or repairs, against 45% of homes under 1,748 SF. Defined in 8.1.8.
  • 36% of homes over 2,438 SF have a view, against 0% of homes under 1,748 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 1,748 SF11 sales1,748–2,043 SF11 sales2,104–2,438 SF11 salesOver 2,438 SF11 salesAll44 salesReal difference?
Net sale price average$705,635$811,027$956,386$1,154,591$906,910✓ large
Net price per SF average$457$425$424$421$432unclear
Living area average1,5441,9072,2592,7772,122by design
Year built median19641962196219621962unclear

4.10 The numbers: selling

Under 1,748 SF11 sales1,748–2,043 SF11 sales2,104–2,438 SF11 salesOver 2,438 SF11 salesAll44 salesReal difference?
Days on market median4241387142unclear
Discount from original list average5.4%5.2%9.6%8.3%7.1%unclear
Price cut before sale36%45%45%45%43%unclear
Seller paid closing costs or repairs45%55%55%55%52%unclear
Has a view0%9%18%36%16%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 · 44 sales · October 28, 2025 – October 27, 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.

2026-10-28T07:27:48.657442 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 11 13 11 9 44 sales Sales per group Before 1962: 11 sales (25%) 1962: 13 sales (30%) 1963–1964: 11 sales (25%) After 1964: 9 sales (20%)
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 196219621963–1964After 1964Real difference?
Net sale price$948K$893K$778K$1.03Munclear
Net price per SF$423 per SF$439 per SF$421 per SF$444 per SFunclear
Living area2,240 SF2,102 SF1,853 SF2,335 SFunclear
Days on market48 days31 days42 days44 daysunclear
Discount from original list8.9%5.9%8.7%4.9%unclear
Price cut before sale45%38%55%33%unclear
Seller paid closing costs or repairs64%77%9%56%unclear
Has a view18%8%18%22%unclear

5.3 Net sale price: no clear difference

2026-10-28T07:27:48.677817 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1962 11 sales 1962 13 sales 1963– 1964 11 sales After 1964 9 sales $0K $500K $1.00M $948K $893K $778K $1.03M Net sale price, average

The average is $1.03M for homes built after 1964 and $948K for homes built before 1962. It does not move in a straight line; homes built after 1964 are highest. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-10-28T07:27:48.700257 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1962 11 sales 1962 13 sales 1963– 1964 11 sales After 1964 9 sales $0 $200 $400 $423 $439 $421 $444 Net price per SF, average

The average is $444 per SF for homes built after 1964 and $423 per SF for homes built before 1962. It does not move in a straight line; homes built after 1964 are highest. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-10-28T07:27:48.721870 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1962 11 sales 1962 13 sales 1963– 1964 11 sales After 1964 9 sales 0 1,000 2,000 2,240 2,102 1,853 2,335 Living area (SF), average

The average is 2,335 SF for homes built after 1964 and 2,240 SF for homes built before 1962. It does not move in a straight line; homes built after 1964 are highest. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-10-28T07:27:48.743944 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1962 11 sales 1962 13 sales 1963– 1964 11 sales After 1964 9 sales 0 20 40 48 31 42 44 Days on market, median

The median is 44 days for homes built after 1964 and 48 days for homes built before 1962. It does not move in a straight line; homes built before 1962 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-10-28T07:27:48.765682 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1962 11 sales 1962 13 sales 1963– 1964 11 sales After 1964 9 sales 0.0% 5.0% 10.0% 8.9% 5.9% 8.7% 4.9% Discount from original list, average

The average is 4.9% for homes built after 1964 and 8.9% for homes built before 1962. It does not move in a straight line; homes built before 1962 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

2026-10-28T07:27:48.791207 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% 45 64 18 38 77 8 55 9 18 33 56 22 Before 1962 1962 1963–1964 After 1964

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

  • 33% of homes built after 1964 had a price cut before sale, against 45% of homes built before 1962. Defined in 8.1.7.
  • 56% of homes built after 1964 had the seller pay closing costs or repairs, against 64% of homes built before 1962. Defined in 8.1.8.
  • 22% of homes built after 1964 have a view, against 18% of homes built before 1962. 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 196211 sales196213 sales1963–196411 salesAfter 19649 salesAll44 salesReal difference?
Net sale price average$948,045$892,777$778,391$1,034,126$906,910unclear
Net price per SF average$423$439$421$444$432unclear
Living area average2,2402,1021,8532,3352,122unclear
Year built median19601962196419671962by design

5.10 The numbers: selling

Before 196211 sales196213 sales1963–196411 salesAfter 19649 salesAll44 salesReal difference?
Days on market median4831424442unclear
Discount from original list average8.9%5.9%8.7%4.9%7.1%unclear
Price cut before sale45%38%55%33%43%unclear
Seller paid closing costs or repairs64%77%9%56%52%unclear
Has a view18%8%18%22%16%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 · 44 sales · October 28, 2025 – October 27, 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. 1 sales whose MLS view entry is only “See Remarks” are left out.

2026-10-28T07:27:48.809828 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 7 36 43 sales Sales per group View: 7 sales (16%) No view: 36 sales (84%)
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$1.07M$875Kunclear
Net price per SF$435 per SF$429 per SFunclear
Living area2,427 SF2,069 SFunclear
Year built19631962unclear
Days on market66 days42 daysunclear
Discount from original list7.2%7.3%unclear
Price cut before sale57%42%unclear
Seller paid closing costs or repairs29%58%unclear

6.3 Net sale price: no clear difference

2026-10-28T07:27:48.826020 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 7 sales No view 36 sales $0K $500K $1.00M $1.07M $875K Net sale price, average

The average is $1.07M for homes with a view and $875K 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

2026-10-28T07:27:48.843456 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 7 sales No view 36 sales $0 $200 $400 $435 $429 Net price per SF, average

The average is $435 per SF for homes with a view and $429 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

2026-10-28T07:27:48.882762 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 7 sales No view 36 sales 0 1,000 2,000 2,427 2,069 Living area (SF), average

The average is 2,427 SF for homes with a view and 2,069 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-28T07:27:48.901250 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 7 sales No view 36 sales 1962 1963 1964 1965 1963 1962 Year built: median (dot) and middle half (bar)

The median is 1963 for homes with a view and 1962 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-28T07:27:48.918728 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 7 sales No view 36 sales 0 20 40 60 66 42 Days on market, median

The median is 66 days for homes with a view and 42 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

2026-10-28T07:27:48.937791 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 7 sales No view 36 sales 0.0% 2.0% 4.0% 6.0% 8.0% 7.2% 7.3% Discount from original list, average

The average is 7.2% for homes with a view and 7.3% 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

2026-10-28T07:27:48.956817 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 57 29 42 58 View No view

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

  • 57% of homes with a view had a price cut before sale, against 42% of homes without a view. Defined in 8.1.7.
  • 29% of homes with a view had the seller pay closing costs or repairs, against 58% 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 view36 salesAll43 salesReal difference?
Net sale price average$1,065,607$875,272$906,257unclear
Net price per SF average$435$429$430unclear
Living area average2,4272,0692,128unclear
Year built median196319621962unclear

6.11 The numbers: selling

View7 salesNo view36 salesAll43 salesReal difference?
Days on market median664242unclear
Discount from original list average7.2%7.3%7.3%unclear
Price cut before sale57%42%44%unclear
Seller paid closing costs or repairs29%58%53%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 · 6 sales · October 28, 2025 – October 27, 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: 6 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 Allandale Park Sec 06.
MeasureAverageMedian
Sales6
Net sale price$2,228,667$2,317,500
Net price per SF$644$641
Living area (SF)3,4643,534
Days on market106105
Discount from original list5.2%4.8%
Price cut before sale50% of sales
Seller paid closing costs or repairs0% 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
44 resale sales. Average $906,910; median $867,375; standard deviation $228,557; middle half (25th–75th percentile) $720,524–$975,750; lowest $525,000, highest $1,600,000. 23 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
44 resale sales. Average $432; median $432; standard deviation $67; middle half (25th–75th percentile) $382–$484; lowest $256, highest $591.

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
44 resale sales. Average 2,122; median 2,074; standard deviation 503; middle half (25th–75th percentile) 1,738–2,449; lowest 1,292, highest 3,724.

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
44 resale sales. Average 1965; median 1962; standard deviation 12; middle half (25th–75th percentile) 1962–1964; lowest 1959, highest 2023.

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
44 resale sales. Average 64; median 42; standard deviation 62; middle half (25th–75th percentile) 12–102; lowest 2, highest 249. 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
44 resale sales. Average 7.1%; median 5.0%; standard deviation 7.0%; middle half (25th–75th percentile) 2.3%–12.3%; lowest −5.5%, highest 21.8%. 4 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
19 of 44 resale sales (43.2%).

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
23 of 44 resale sales (52.3%).

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, 36 without, 1 unclassified. Most common View entries: None 30, Neighborhood 7, Creek/Stream 3, Pool 2, See Remarks 1, Park/Greenbelt 1, Trees/Woods 1, Garden 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
Bridge Interactive RESO Web API (OData), ABOR dataset, every field returned. Filter: StandardStatus = Closed, PropertyType = Residential, City = Austin, SubdivisionName contains any of “allandale park”, “allandale terrace” (case-insensitive). A record is kept when its subdivision name belongs to the Allandale Park Sec 06 family, the same rule comparable sales use (it includes Allandale Terrace, proven adjacent and priced alike).
The data
Pulled October 28, 2026: 51 closed Allandale Park Sec 06 records over the prior year, in ZIP 78757. 14 subdivision spellings kept, the most common: Allandale Park Sec 06 (9); Allandale Park Sec 05 (6); Allandale Terrace Sec 02 Ph 04 (5); Allandale Park Sec 01 (5); Allandale Park Sec 04 (5); Allandale Terrace Sec 03 (5); Allandale Park Sec 02 (4); Allandale Terrace (3); Allandale Terrace Sec 02 (3); Allandale Park Sec 09 (2); Allandale Park Sec 08 (1); Allandale Terrace Sec 02 Ph 02 (1); and 2 more (2 records). No other names were found by the search.

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 21 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 28, 2025 to October 27, 2026 inclusive.
The data
50 single-family sales in the window: 44 resale, 6 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
44 resale; 6 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 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 $721K”.
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 $721K: $525,000–$719,997 (11 sales); $721K–$857K: $720,700–$857,000 (11 sales); $878K–$975K: $877,750–$975,000 (11 sales); Over $975K: $978,000–$1,600,000 (11 sales)
Quartiles by living area: Under 1,748 SF: 1,292–1,710 SF (11 sales); 1,748–2,043 SF: 1,748–2,043 SF (11 sales); 2,104–2,438 SF: 2,104–2,438 SF (11 sales); Over 2,438 SF: 2,483–3,724 SF (11 sales)
Quartiles by year built: Before 1962: 1959–1961 (11 sales); 1962: 1962–1962 (13 sales); 1963–1964: 1963–1964 (11 sales); After 1964: 1966–2023 (9 sales)
View and no view: View: MLS lists a view (7 sales); No view: None or Neighborhood (36 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 $906,910, median $867,375. Days on market: average 64, 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
2 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 = 6.0230.1105p < 0.0063Unclearε² = 0.140large
Living areaKruskal–WallisH = 25.393< 0.0001p < 0.0063Yesε² = 0.591large
Year builtKruskal–WallisH = 1.5030.6833p < 0.0063Unclearε² = 0.035small
Days on marketKruskal–WallisH = 4.5330.2094p < 0.0063Unclearε² = 0.105medium
Discount from original listKruskal–WallisH = 4.7930.1882p < 0.0063Unclearε² = 0.111medium
Price cut before saleChi-squareχ² = 1.7630.6237p < 0.0063UnclearCramér’s V = 0.200small
Seller paid closing costs or repairsChi-squareχ² = 7.5630.0560p < 0.0063UnclearCramér’s V = 0.415medium
Has a viewChi-squareχ² = 5.9530.1143p < 0.0063UnclearCramér’s V = 0.368medium

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 25.323< 0.0001p < 0.0063Yesε² = 0.589large
Net price per SFKruskal–WallisH = 2.2130.5302p < 0.0063Unclearε² = 0.051small
Year builtKruskal–WallisH = 4.2530.2356p < 0.0063Unclearε² = 0.099medium
Days on marketKruskal–WallisH = 1.0430.7921p < 0.0063Unclearε² = 0.024small
Discount from original listKruskal–WallisH = 2.9030.4072p < 0.0063Unclearε² = 0.067medium
Price cut before saleChi-squareχ² = 0.2830.9641p < 0.0063UnclearCramér’s V = 0.079negligible
Seller paid closing costs or repairsChi-squareχ² = 0.2730.9650p < 0.0063UnclearCramér’s V = 0.079negligible
Has a viewChi-squareχ² = 5.9530.1143p < 0.0063UnclearCramér’s V = 0.368medium

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 4.9730.1744p < 0.0063Unclearε² = 0.115medium
Net price per SFKruskal–WallisH = 1.2430.7433p < 0.0063Unclearε² = 0.029small
Living areaKruskal–WallisH = 6.5830.0865p < 0.0063Unclearε² = 0.153large
Days on marketKruskal–WallisH = 1.7130.6339p < 0.0063Unclearε² = 0.040small
Discount from original listKruskal–WallisH = 3.6530.3023p < 0.0063Unclearε² = 0.085medium
Price cut before saleChi-squareχ² = 1.0830.7829p < 0.0063UnclearCramér’s V = 0.156small
Seller paid closing costs or repairsChi-squareχ² = 12.0030.0074p < 0.0063UnclearCramér’s V = 0.522large
Has a viewChi-squareχ² = 1.0130.7990p < 0.0063UnclearCramér’s V = 0.151small

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 165.00—0.2103p < 0.0063Unclearrank-biserial r = 0.310medium
Net price per SFMann–Whitney UU = 121.00—0.8849p < 0.0063Unclearrank-biserial r = 0.040negligible
Living areaMann–Whitney UU = 187.00—0.0465p < 0.0063Unclearrank-biserial r = 0.484medium
Year builtMann–Whitney UU = 148.50—0.4615p < 0.0063Unclearrank-biserial r = 0.179small
Days on marketMann–Whitney UU = 130.00—0.9083p < 0.0063Unclearrank-biserial r = 0.032negligible
Discount from original listMann–Whitney UU = 121.00—0.8849p < 0.0063Unclearrank-biserial r = 0.040negligible
Price cut before saleChi-squareχ² = 0.5710.4506p < 0.0063UnclearCramér’s V = 0.115small
Seller paid closing costs or repairsChi-squareχ² = 2.0910.1486p < 0.0063UnclearCramér’s V = 0.220small

8.4 Data notes

Left out of the analysis: 6 new-construction sales (basic statistics only, section 7); 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 44 closed MLS resale sales; the 6 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled October 28, 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.