ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Easton Park

Austin, TX 78744 · 78747
Resale homes · closed Oct 31 – Oct 30, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
October 31, 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, 365 days
78
single-family resale homes
Median net sale price
$478,000
average $488,566
Median net price per SF
$210
average $209
Median days on market
48 days
average 75 days
1. SummaryResale homes · 78 sales · October 31, 2025 – October 30, 2026

This study looks at the 78 resale homes sold in Easton Park in the 365 days to October 30, 2026. A full year is used because only 45 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 sold78 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 $421K · 20 sales$421K–$477K · 19 sales$479K–$556K · 19 salesOver $556K · 20 sales
3. Quartiles by net sale priceResale homes · 78 sales · October 31, 2025 – October 30, 2026

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

2026-10-31T06:48:31.449198 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 20 19 19 20 78 sales Sales per group Under $421K: 20 sales (26%) $421K–$477K: 19 sales (24%) $479K–$556K: 19 sales (24%) Over $556K: 20 sales (26%)
Bottom line

3.1 Key differences

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

Under $421K$421K–$477K$479K–$556KOver $556K
Higher-priced homes Over $556K
  • Are much larger.
Lower-priced homes Under $421K
  • 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 $421K$421K–$477K$479K–$556KOver $556KReal difference?
Net price per SF$203 per SF$204 per SF$208 per SF$222 per SFunclear
Living area1,796 SFSmallest2,215 SF2,512 SF2,830 SFLargest✓ large
Year built2020202020202022unclear
Days on market48 days86 days55 days32 daysunclear
Discount from original list6.5%7.5%4.4%6.3%unclear
Price cut before sale70%63%37%50%unclear
Seller paid closing costs or repairs70%79%58%55%unclear
Has a view10%5%11%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

2026-10-31T06:48:31.478047 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $421K 20 sales $421K– $477K 19 sales $479K– $556K 19 sales Over $556K 20 sales $0 $100 $200 $203 $204 $208 $222 Net price per SF, average

The average is $222 per SF for homes over $556K and $203 per SF for homes under $421K. 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 $556K are about 1,030 SF (58%) larger than homes under $421K

2026-10-31T06:48:31.500697 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $421K 20 sales $421K– $477K 19 sales $479K– $556K 19 sales Over $556K 20 sales 0 1,000 2,000 3,000 1,796 2,215 2,512 2,830 Living area (SF), average

The average is 2,830 SF for homes over $556K and 1,796 SF for homes under $421K. 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

2026-10-31T06:48:31.523886 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $421K 20 sales $421K– $477K 19 sales $479K– $556K 19 sales Over $556K 20 sales 2018 2020 2022 2020 2020 2020 2022 Year built: median (dot) and middle half (bar)

The median is 2022 for homes over $556K and 2020 for homes under $421K. It rises step by step from the lowest range to the highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-10-31T06:48:31.546820 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $421K 20 sales $421K– $477K 19 sales $479K– $556K 19 sales Over $556K 20 sales 0 50 100 48 86 55 32 Days on market, median

The median is 32 days for homes over $556K and 48 days for homes under $421K. It does not move in a straight line; homes $421K–$477K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-31T06:48:31.569202 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $421K 20 sales $421K– $477K 19 sales $479K– $556K 19 sales Over $556K 20 sales 0.0% 2.5% 5.0% 7.5% 6.5% 7.5% 4.4% 6.3% Discount from original list, average

The average is 6.3% for homes over $556K and 6.5% for homes under $421K. It does not move in a straight line; homes $421K–$477K 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

2026-10-31T06:48:31.599856 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% 70 70 10 63 79 5 37 58 11 50 55 40 Under $421K $421K–$477K $479K–$556K Over $556K

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

  • 50% of homes over $556K had a price cut before sale, against 70% of homes under $421K. Defined in 8.1.7.
  • 55% of homes over $556K had the seller pay closing costs or repairs, against 70% of homes under $421K. Defined in 8.1.8.
  • 40% of homes over $556K have a view, against 10% of homes under $421K. 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 $421K20 sales$421K–$477K19 sales$479K–$556K19 salesOver $556K20 salesAll78 salesReal difference?
Net sale price average$361,847$448,134$518,269$625,478$488,566by design
Net price per SF average$203$204$208$222$209unclear
Living area average1,7962,2152,5122,8302,338✓ large
Year built median20202020202020222020unclear

3.10 The numbers: selling

Under $421K20 sales$421K–$477K19 sales$479K–$556K19 salesOver $556K20 salesAll78 salesReal difference?
Days on market median4886553248unclear
Discount from original list average6.5%7.5%4.4%6.3%6.1%unclear
Price cut before sale70%63%37%50%55%unclear
Seller paid closing costs or repairs70%79%58%55%65%unclear
Has a view10%5%11%40%17%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 · 78 sales · October 31, 2025 – October 30, 2026

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

2026-10-31T06:48:31.621379 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 20 19 18 21 78 sales Sales per group Under 2,016 SF: 20 sales (26%) 2,016–2,362 SF: 19 sales (24%) 2,411–2,597 SF: 18 sales (23%) Over 2,597 SF: 21 sales (27%)
Bottom line

4.1 Key differences

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

Under 2,016 SF2,016–2,362 SF2,411–2,597 SFOver 2,597 SF
Larger homes Over 2,597 SF
  • Sell for much more.
Smaller homes Under 2,016 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 2,016 SF2,016–2,362 SF2,411–2,597 SFOver 2,597 SFReal difference?
Net sale price$377KLowest$441K$540K$594KHighest✓ large
Net price per SF$214 per SF$202 per SF$216 per SF$205 per SFunclear
Year built2021202020202022unclear
Days on market36 days86 days14 days71 daysunclear
Discount from original list5.8%7.1%3.2%8.2%unclear
Price cut before sale60%63%28%67%unclear
Seller paid closing costs or repairs65%79%78%43%unclear
Has a view0%11%22%33%unclear

4.3 Homes over 2,597 SF sell for about $217K (58%) more than homes under 2,016 SF

2026-10-31T06:48:31.642694 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,016 SF 20 sales 2,016– 2,362 SF 19 sales 2,411– 2,597 SF 18 sales Over 2,597 SF 21 sales $0K $200K $400K $600K $377K $441K $540K $594K Net sale price, average

The average is $594K for homes over 2,597 SF and $377K for homes under 2,016 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

2026-10-31T06:48:31.666987 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,016 SF 20 sales 2,016– 2,362 SF 19 sales 2,411– 2,597 SF 18 sales Over 2,597 SF 21 sales $0 $100 $200 $214 $202 $216 $205 Net price per SF, average

The average is $205 per SF for homes over 2,597 SF and $214 per SF for homes under 2,016 SF. It does not move in a straight line; homes 2,411–2,597 SF are highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-10-31T06:48:31.690353 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,016 SF 20 sales 2,016– 2,362 SF 19 sales 2,411– 2,597 SF 18 sales Over 2,597 SF 21 sales 2018 2020 2022 2021 2020 2020 2022 Year built: median (dot) and middle half (bar)

The median is 2022 for homes over 2,597 SF and 2021 for homes under 2,016 SF. It does not move in a straight line; homes over 2,597 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-10-31T06:48:31.713929 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,016 SF 20 sales 2,016– 2,362 SF 19 sales 2,411– 2,597 SF 18 sales Over 2,597 SF 21 sales 0 50 100 36 86 14 71 Days on market, median

The median is 71 days for homes over 2,597 SF and 36 days for homes under 2,016 SF. It does not move in a straight line; homes 2,016–2,362 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-31T06:48:31.737126 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,016 SF 20 sales 2,016– 2,362 SF 19 sales 2,411– 2,597 SF 18 sales Over 2,597 SF 21 sales 0.0% 2.5% 5.0% 7.5% 5.8% 7.1% 3.2% 8.2% Discount from original list, average

The average is 8.2% for homes over 2,597 SF and 5.8% for homes under 2,016 SF. It does not move in a straight line; homes over 2,597 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

2026-10-31T06:48:31.764705 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% 60 65 0 63 79 11 28 78 22 67 43 33 Under 2,016 SF 2,016–2,362 SF 2,411–2,597 SF Over 2,597 SF

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

  • 67% of homes over 2,597 SF had a price cut before sale, against 60% of homes under 2,016 SF. Defined in 8.1.7.
  • 43% of homes over 2,597 SF had the seller pay closing costs or repairs, against 65% of homes under 2,016 SF. Defined in 8.1.8.
  • 33% of homes over 2,597 SF have a view, against 0% of homes under 2,016 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 2,016 SF20 sales2,016–2,362 SF19 sales2,411–2,597 SF18 salesOver 2,597 SF21 salesAll78 salesReal difference?
Net sale price average$376,842$440,728$540,474$593,758$488,566✓ large
Net price per SF average$214$202$216$205$209unclear
Living area average1,7582,1802,4982,8942,338by design
Year built median20212020202020222020unclear

4.10 The numbers: selling

Under 2,016 SF20 sales2,016–2,362 SF19 sales2,411–2,597 SF18 salesOver 2,597 SF21 salesAll78 salesReal difference?
Days on market median3686147148unclear
Discount from original list average5.8%7.1%3.2%8.2%6.1%unclear
Price cut before sale60%63%28%67%55%unclear
Seller paid closing costs or repairs65%79%78%43%65%unclear
Has a view0%11%22%33%17%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 · 78 sales · October 31, 2025 – October 30, 2026

Sales ranked by year built and cut into four groups, from the oldest to the newest. Homes built in the same year always stay in the same group, so group sizes can differ a little.

2026-10-31T06:48:31.785721 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 17 26 12 23 78 sales Sales per group Before 2019: 17 sales (22%) 2019–2020: 26 sales (33%) 2021: 12 sales (15%) After 2021: 23 sales (29%)
Bottom line

5.1 Key differences

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

Before 20192019–20202021After 2021
Newer homes After 2021
  • Sell for much more.
Older homes Before 2019
  • Sell for much less.

5.2 At a glance

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

Before 20192019–20202021After 2021Real difference?
Net sale price$455K$484K$417KLowest$555KHighest✓ large
Net price per SF$201 per SF$210 per SF$202 per SF$219 per SFunclear
Living area2,279 SF2,297 SF2,088 SF2,557 SFunclear
Days on market50 days34 days62 days67 daysunclear
Discount from original list7.0%4.6%7.7%6.4%unclear
Price cut before sale65%35%83%57%unclear
Seller paid closing costs or repairs76%81%50%48%unclear
Has a view24%12%8%22%unclear

5.3 Homes built after 2021 sell for about $100K (22%) more than homes built before 2019

2026-10-31T06:48:31.806185 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2019 17 sales 2019– 2020 26 sales 2021 12 sales After 2021 23 sales $0K $200K $400K $600K $455K $484K $417K $555K Net sale price, average

The average is $555K for homes built after 2021 and $455K for homes built before 2019. It does not move in a straight line; homes built after 2021 are highest. Defined in 8.1.1.

✓ Real difference · large

5.4 Net price per SF: no clear difference

2026-10-31T06:48:31.829607 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2019 17 sales 2019– 2020 26 sales 2021 12 sales After 2021 23 sales $0 $100 $200 $201 $210 $202 $219 Net price per SF, average

The average is $219 per SF for homes built after 2021 and $201 per SF for homes built before 2019. It does not move in a straight line; homes built after 2021 are highest. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-10-31T06:48:31.851326 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2019 17 sales 2019– 2020 26 sales 2021 12 sales After 2021 23 sales 0 1,000 2,000 3,000 2,279 2,297 2,088 2,557 Living area (SF), average

The average is 2,557 SF for homes built after 2021 and 2,279 SF for homes built before 2019. It does not move in a straight line; homes built after 2021 are highest. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-10-31T06:48:31.873590 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2019 17 sales 2019– 2020 26 sales 2021 12 sales After 2021 23 sales 0 25 50 75 50 34 62 67 Days on market, median

The median is 67 days for homes built after 2021 and 50 days for homes built before 2019. It does not move in a straight line; homes built after 2021 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-10-31T06:48:31.897470 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2019 17 sales 2019– 2020 26 sales 2021 12 sales After 2021 23 sales 0.0% 2.5% 5.0% 7.5% 7.0% 4.6% 7.7% 6.4% Discount from original list, average

The average is 6.4% for homes built after 2021 and 7.0% for homes built before 2019. It does not move in a straight line; homes built 2021 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

2026-10-31T06:48:31.923871 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% 65 76 24 35 81 12 83 50 8 57 48 22 Before 2019 2019–2020 2021 After 2021

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

  • 57% of homes built after 2021 had a price cut before sale, against 65% of homes built before 2019. Defined in 8.1.7.
  • 48% of homes built after 2021 had the seller pay closing costs or repairs, against 76% of homes built before 2019. Defined in 8.1.8.
  • 22% of homes built after 2021 have a view, against 24% of homes built before 2019. 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 201917 sales2019–202026 sales202112 salesAfter 202123 salesAll78 salesReal difference?
Net sale price average$455,064$484,304$417,304$555,325$488,566✓ large
Net price per SF average$201$210$202$219$209unclear
Living area average2,2792,2972,0882,5572,338unclear
Year built median20162020202120232020by design

5.10 The numbers: selling

Before 201917 sales2019–202026 sales202112 salesAfter 202123 salesAll78 salesReal difference?
Days on market median5034626748unclear
Discount from original list average7.0%4.6%7.7%6.4%6.1%unclear
Price cut before sale65%35%83%57%55%unclear
Seller paid closing costs or repairs76%81%50%48%65%unclear
Has a view24%12%8%22%17%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 · 78 sales · October 31, 2025 – October 30, 2026

Sales where the MLS lists a view (greenbelt or park, trees, golf course, hill country, water and similar) against those listing none or only the neighborhood. 2 sales whose MLS view entry is only “See Remarks” are left out.

2026-10-31T06:48:31.943295 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 13 63 76 sales Sales per group View: 13 sales (17%) No view: 63 sales (83%)
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
  • Are much larger.
Homes without a view no view listed
  • Are much 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$570K$472Kunclear
Net price per SF$209 per SF$209 per SFunclear
Living area2,733 SFLargest2,264 SFSmallest✓ large
Year built20202020unclear
Days on market19 days55 daysunclear
Discount from original list6.9%6.1%unclear
Price cut before sale46%59%unclear
Seller paid closing costs or repairs54%67%unclear

6.3 Net sale price: no clear difference

2026-10-31T06:48:31.959383 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 63 sales $0K $200K $400K $600K $570K $472K Net sale price, average

The average is $570K for homes with a view and $472K 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

2026-10-31T06:48:31.977318 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 63 sales $0 $100 $200 $209 $209 Net price per SF, average

The average is $209 per SF for homes with a view and $209 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 470 SF (21%) larger than homes without a view

2026-10-31T06:48:31.995364 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 63 sales 0 1,000 2,000 3,000 2,733 2,264 Living area (SF), average

The average is 2,733 SF for homes with a view and 2,264 SF for homes without a view. Defined in 8.1.3.

✓ Real difference · large

6.6 Year built: no clear difference

2026-10-31T06:48:32.041732 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 63 sales 2018 2019 2020 2021 2022 2020 2020 Year built: median (dot) and middle half (bar)

The median is 2020 for homes with a view and 2020 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-31T06:48:32.059978 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 63 sales 0 20 40 60 19 55 Days on market, median

The median is 19 days for homes with a view and 55 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

2026-10-31T06:48:32.079260 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 63 sales 0.0% 2.0% 4.0% 6.0% 8.0% 6.9% 6.1% Discount from original list, average

The average is 6.9% for homes with a view and 6.1% 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

2026-10-31T06:48:32.098707 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 46 54 59 67 View No view

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

  • 46% of homes with a view had a price cut before sale, against 59% of homes without a view. Defined in 8.1.7.
  • 54% of homes with a view had the seller pay closing costs or repairs, against 67% 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

View13 salesNo view63 salesAll76 salesReal difference?
Net sale price average$569,846$471,540$488,356unclear
Net price per SF average$209$209$209unclear
Living area average2,7332,2642,344✓ large
Year built median202020202020unclear

6.11 The numbers: selling

View13 salesNo view63 salesAll76 salesReal difference?
Days on market median195550unclear
Discount from original list average6.9%6.1%6.3%unclear
Price cut before sale46%59%57%unclear
Seller paid closing costs or repairs54%67%64%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 · 139 sales · October 31, 2025 – October 30, 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: 139 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 Easton Park.
MeasureAverageMedian
Sales139
Net sale price$600,404$570,958
Net price per SF$223$223
Living area (SF)2,7092,624
Days on market125117
Discount from original list10.3%10.2%
Price cut before sale70% of sales
Seller paid closing costs or repairs89% of sales
Year built2021–2026

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
78 resale sales. Average $488,566; median $478,000; standard deviation $107,708; middle half (25th–75th percentile) $420,250–$562,774; lowest $274,500, highest $834,000. 51 sales had a seller payment; their median payment was $8,000.

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
78 resale sales. Average $209; median $210; standard deviation $23; middle half (25th–75th percentile) $196–$220; lowest $160, highest $270.

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
78 resale sales. Average 2,338; median 2,386; standard deviation 465; middle half (25th–75th percentile) 2,004–2,599; lowest 1,175, highest 3,583.

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
78 resale sales. Average 2020; median 2020; standard deviation 3; middle half (25th–75th percentile) 2019–2022; lowest 2015, highest 2026.

8.1.5 Days on market

In simple terms
How many days the home was on the market before the buyer's offer was accepted, counting any earlier listing periods (relists). This is the days on market agents and clients quote.
Statistically
CDOM = max(CumulativeDaysOnMarket, DaysOnMarket, PurchaseContractDate − ListingContractDate). The MLS counter can freeze at a price change, so the contract-date gap is a floor. Summarized by the median, because a few homes that sat for months pull an average up.
The data
78 resale sales. Average 75; median 48; standard deviation 75; middle half (25th–75th percentile) 16–106; lowest 0, highest 372. 5 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
78 resale sales. Average 6.1%; median 4.9%; standard deviation 5.3%; middle half (25th–75th percentile) 2.1%–8.6%; lowest −1.6%, highest 20.8%. 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
43 of 78 resale sales (55.1%).

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
51 of 78 resale sales (65.4%).

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
13 sales with a view, 63 without, 2 unclassified. Most common View entries: None 47, Neighborhood 21, Park/Greenbelt 13, Trees/Woods 1, See Remarks 1, Pool 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 “easton park”, “easton park nelson village”, “easton pk” (case-insensitive). A record is kept when its subdivision name belongs to the Easton Park family, the same rule comparable sales use (it includes Easton Park - Nelson Village, proven adjacent and priced alike).
The data
Pulled October 31, 2026: 240 closed Easton Park records over the prior year, in ZIP 78744, 78747. 15 subdivision spellings kept, the most common: Easton Park (197); Easton Park - Nelson Village (12); Easton Park Sec 1C (6); Easton Park 50s (5); Easton Park Sec 1A (4); EASTON PARK (2); EASTON PARK SEC 1A (2); Easton Park Sec 1a (2); Easton Park Ph 2 Sec 2B (2); Easton Park Ph 1 Sec 3A (2); Easton Park- Nelson Village (2); EASTON PARK SEC 2B PHS 1 (1); and 3 more (3 records). Names found by the search but not part of Easton Park, left out: Nelson Village at Easton Park (15); Mirabel Park Ph 1 Easton Park Sec (2).

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 45 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 31, 2025 to October 30, 2026 inclusive.
The data
217 single-family sales in the window: 78 resale, 139 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
78 resale; 139 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
22 sale(s) other than single-family homes (condo, townhome and similar); 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 $421K”.
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 $421K: $274,500–$420,000 (20 sales); $421K–$477K: $421,000–$477,000 (19 sales); $479K–$556K: $479,000–$556,098 (19 sales); Over $556K: $565,000–$834,000 (20 sales)
Quartiles by living area: Under 2,016 SF: 1,175–2,000 SF (20 sales); 2,016–2,362 SF: 2,016–2,362 SF (19 sales); 2,411–2,597 SF: 2,411–2,597 SF (18 sales); Over 2,597 SF: 2,599–3,583 SF (21 sales)
Quartiles by year built: Before 2019: 2015–2018 (17 sales); 2019–2020: 2019–2020 (26 sales); 2021: 2021–2021 (12 sales); After 2021: 2022–2026 (23 sales)
View and no view: View: MLS lists a view (13 sales); No view: None or Neighborhood (63 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 $488,566, median $478,000. Days on market: average 75, median 48: the average is pulled up by a few long listings.

8.2.7 Kruskal–Wallis test

In simple terms
Checks whether a measure really differs across the four groups of a slice. It uses each sale's rank, not its value, so a few extreme sales cannot drive the answer.
Statistically
H = [12/(n(n+1))] Σ Rⱼ²/nⱼ − 3(n+1), compared with χ² on k − 1 degrees of freedom (Kruskal & Wallis, 1952). Effect size ε² = H/(n − 1): ≥ .01 small, ≥ .06 medium, ≥ .14 large (Tomczak & Tomczak, 2014). A slice is tested only when every group has at least 5 sales; smaller groups are described, not tested.
The data
Run on every measure in sections 3–5; each result is in 8.3.

8.2.8 Mann–Whitney U test

In simple terms
The same check when there are only two groups: view against no view.
Statistically
Two-sided U test (Mann & Whitney, 1947). Effect size = rank-biserial correlation |1 − 2U/(n₁n₂)|: ≥ .10 small, ≥ .30 medium, ≥ .50 large (Kerby, 2014; Cohen, 1988).
The data
Run on every measure in section 6; results in 8.3.

8.2.9 Chi-square test

In simple terms
Checks whether a yes/no share (price cut, seller payment, view) differs between groups more than chance would.
Statistically
Pearson χ² on the 2 × k table of counts, no continuity correction (Pearson, 1900). Effect size Cramér's V = √(χ²/n): ≥ .10 small, ≥ .30 medium, ≥ .50 large (Cramér, 1946).
The data
Run on the three shares in every slice; results in 8.3.

8.2.10 Real difference (significance)

In simple terms
“Real difference” means a gap this large would be very unlikely if the groups were really alike. Because many measures are checked in each slice, the bar is set higher than usual.
Statistically
Significant when p < 0.05 ÷ m, where m is the number of measures tested in that slice (Bonferroni; Dunn, 1961). The slicing variable itself differs by design and is not tested.
The data
Quartiles by net sale price: m = 8, threshold p < 0.0063; Quartiles by living area: m = 8, threshold p < 0.0063; Quartiles by year built: m = 8, threshold p < 0.0063; View and no view: m = 8, threshold p < 0.0063

8.2.11 Size of a difference

In simple terms
A difference can be real but small. The size word (small, medium, large) says how much the groups pull apart.
Statistically
ε² for Kruskal–Wallis, rank-biserial r for Mann–Whitney, Cramér's V for chi-square, with the thresholds above; below the small threshold the size is “negligible”.
The data
4 real differences across the four slices; sizes are listed in 8.3.

8.2.12 Rounding in the text

In simple terms
Headings and sentences round figures so they read easily; the tables at the end of each section give them in full.
Statistically
Prices in headings round to the nearest $1K; price per SF and days on market to the nearest whole number; living area to the nearest 10 SF; shares and percentage gaps to whole percents.
The data
Days on market is always shown in days.

8.3 Test results

Every test behind every gold box. Statistic, degrees of freedom (df), p-value, the threshold it must beat, and the size of the difference.

8.3.1 Quartiles by net sale price

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net price per SFKruskal–WallisH = 9.6930.0214p < 0.0063Unclearε² = 0.126medium
Living areaKruskal–WallisH = 56.813< 0.0001p < 0.0063Yesε² = 0.738large
Year builtKruskal–WallisH = 8.8530.0313p < 0.0063Unclearε² = 0.115medium
Days on marketKruskal–WallisH = 3.0530.3837p < 0.0063Unclearε² = 0.040small
Discount from original listKruskal–WallisH = 5.6330.1308p < 0.0063Unclearε² = 0.073medium
Price cut before saleChi-squareχ² = 5.0630.1671p < 0.0063UnclearCramér’s V = 0.255small
Seller paid closing costs or repairsChi-squareχ² = 3.1630.3681p < 0.0063UnclearCramér’s V = 0.201small
Has a viewChi-squareχ² = 10.7730.0130p < 0.0063UnclearCramér’s V = 0.372medium

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 56.183< 0.0001p < 0.0063Yesε² = 0.730large
Net price per SFKruskal–WallisH = 6.1230.1061p < 0.0063Unclearε² = 0.079medium
Year builtKruskal–WallisH = 7.1330.0679p < 0.0063Unclearε² = 0.093medium
Days on marketKruskal–WallisH = 7.8330.0496p < 0.0063Unclearε² = 0.102medium
Discount from original listKruskal–WallisH = 11.3930.0098p < 0.0063Unclearε² = 0.148large
Price cut before saleChi-squareχ² = 7.2630.0640p < 0.0063UnclearCramér’s V = 0.305medium
Seller paid closing costs or repairsChi-squareχ² = 7.4830.0582p < 0.0063UnclearCramér’s V = 0.310medium
Has a viewChi-squareχ² = 9.1230.0278p < 0.0063UnclearCramér’s V = 0.342medium

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 19.4730.0002p < 0.0063Yesε² = 0.253large
Net price per SFKruskal–WallisH = 6.4630.0913p < 0.0063Unclearε² = 0.084medium
Living areaKruskal–WallisH = 9.0430.0288p < 0.0063Unclearε² = 0.117medium
Days on marketKruskal–WallisH = 3.9930.2622p < 0.0063Unclearε² = 0.052small
Discount from original listKruskal–WallisH = 5.5230.1373p < 0.0063Unclearε² = 0.072medium
Price cut before saleChi-squareχ² = 8.9330.0302p < 0.0063UnclearCramér’s V = 0.338medium
Seller paid closing costs or repairsChi-squareχ² = 8.0330.0454p < 0.0063UnclearCramér’s V = 0.321medium
Has a viewChi-squareχ² = 2.0930.5530p < 0.0063UnclearCramér’s V = 0.164small

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 596.00—0.0103p < 0.0063Unclearrank-biserial r = 0.455medium
Net price per SFMann–Whitney UU = 386.00—0.7510p < 0.0063Unclearrank-biserial r = 0.057negligible
Living areaMann–Whitney UU = 622.50—0.0034p < 0.0063Yesrank-biserial r = 0.520large
Year builtMann–Whitney UU = 370.50—0.5923p < 0.0063Unclearrank-biserial r = 0.095negligible
Days on marketMann–Whitney UU = 330.50—0.2787p < 0.0063Unclearrank-biserial r = 0.193small
Discount from original listMann–Whitney UU = 399.00—0.8903p < 0.0063Unclearrank-biserial r = 0.026negligible
Price cut before saleChi-squareχ² = 0.6910.4049p < 0.0063UnclearCramér’s V = 0.096negligible
Seller paid closing costs or repairsChi-squareχ² = 0.7710.3792p < 0.0063UnclearCramér’s V = 0.101small

8.4 Data notes

Left out of the analysis: 139 new-construction sales (basic statistics only, section 7); 22 sale(s) other than single-family homes (condo, townhome and similar); 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 78 closed MLS resale sales; the 139 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled October 31, 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.