ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Easton Park

Austin, TX 78744 · 78747
Resale homes · closed Oct 26 – Oct 25, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
October 26, 2026 · 6:50 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
77
single-family resale homes
Median net sale price
$479,000
average $490,599
Median net price per SF
$210
average $210
Median days on market
47 days
average 74 days
1. SummaryResale homes · 77 sales · October 26, 2025 – October 25, 2026

This study looks at the 77 resale homes sold in Easton Park in the 365 days to October 25, 2026. A full year is used because only 44 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 sold77 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 · 19 sales$421K–$477K · 19 sales$479K–$565K · 20 salesOver $565K · 19 sales
3. Quartiles by net sale priceResale homes · 77 sales · October 26, 2025 – October 25, 2026

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

2026-10-26T06:50:28.729203 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 19 19 20 19 77 sales Sales per group Under $421K: 19 sales (25%) $421K–$477K: 19 sales (25%) $479K–$565K: 20 sales (26%) Over $565K: 19 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 $421K$421K–$477K$479K–$565KOver $565K
Higher-priced homes Over $565K
  • 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–$565KOver $565KReal difference?
Net price per SF$202 per SF$205 per SF$209 per SF$222 per SFunclear
Living area1,808 SFSmallest2,205 SF2,515 SF2,843 SFLargest✓ large
Year built2020202020202022unclear
Days on market50 days49 days37 days32 daysunclear
Discount from original list6.8%6.9%4.3%6.4%unclear
Price cut before sale74%58%35%53%unclear
Seller paid closing costs or repairs74%74%60%53%unclear
Has a view11%11%15%37%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

2026-10-26T06:50:28.758050 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $421K 19 sales $421K– $477K 19 sales $479K– $565K 20 sales Over $565K 19 sales $0 $100 $200 $202 $205 $209 $222 Net price per SF, average

The average is $222 per SF for homes over $565K and $202 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 $565K are about 1,040 SF (57%) larger than homes under $421K

2026-10-26T06:50:28.780736 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $421K 19 sales $421K– $477K 19 sales $479K– $565K 20 sales Over $565K 19 sales 0 1,000 2,000 3,000 1,808 2,205 2,515 2,843 Living area (SF), average

The average is 2,843 SF for homes over $565K and 1,808 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

2026-10-26T06:50:28.803690 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $421K 19 sales $421K– $477K 19 sales $479K– $565K 20 sales Over $565K 19 sales 2018 2020 2022 2020 2020 2020 2022 Year built: median (dot) and middle half (bar)

The median is 2022 for homes over $565K 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

2026-10-26T06:50:28.826502 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $421K 19 sales $421K– $477K 19 sales $479K– $565K 20 sales Over $565K 19 sales 0 20 40 60 50 49 37 32 Days on market, median

The median is 32 days for homes over $565K and 50 days for homes under $421K. It falls step by step from the lowest range to the highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-26T06:50:28.848565 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $421K 19 sales $421K– $477K 19 sales $479K– $565K 20 sales Over $565K 19 sales 0.0% 2.5% 5.0% 7.5% 6.8% 6.9% 4.3% 6.4% Discount from original list, average

The average is 6.4% for homes over $565K and 6.8% 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

2026-10-26T06:50:28.878157 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% 74 74 11 58 74 11 35 60 15 53 53 37 Under $421K $421K–$477K $479K–$565K Over $565K

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

  • 53% of homes over $565K had a price cut before sale, against 74% of homes under $421K. Defined in 8.1.7.
  • 53% of homes over $565K had the seller pay closing costs or repairs, against 74% of homes under $421K. Defined in 8.1.8.
  • 37% of homes over $565K have a view, against 11% 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 $421K19 sales$421K–$477K19 sales$479K–$565K20 salesOver $565K19 salesAll77 salesReal difference?
Net sale price average$363,786$447,767$520,605$628,661$490,599by design
Net price per SF average$202$205$209$222$210unclear
Living area average1,8082,2052,5152,8432,345✓ large
Year built median20202020202020222020unclear

3.10 The numbers: selling

Under $421K19 sales$421K–$477K19 sales$479K–$565K20 salesOver $565K19 salesAll77 salesReal difference?
Days on market median5049373247unclear
Discount from original list average6.8%6.9%4.3%6.4%6.1%unclear
Price cut before sale74%58%35%53%55%unclear
Seller paid closing costs or repairs74%74%60%53%65%unclear
Has a view11%11%15%37%18%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 · 77 sales · October 26, 2025 – October 25, 2026

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

2026-10-26T06:50:28.899132 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 19 19 20 19 77 sales Sales per group Under 2,016 SF: 19 sales (25%) 2,016–2,362 SF: 19 sales (25%) 2,411–2,599 SF: 20 sales (26%) Over 2,599 SF: 19 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 2,016 SF2,016–2,362 SF2,411–2,599 SFOver 2,599 SF
Larger homes Over 2,599 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 SF2,411–2,599 SFOver 2,599 SFReal difference?
Net sale price$380KLowest$440K$539K$601KHighest✓ large
Net price per SF$215 per SF$203 per SF$215 per SF$206 per SFunclear
Year built2021202020202022unclear
Days on market37 days50 days17 days71 daysunclear
Discount from original list6.1%6.5%3.7%8.2%unclear
Price cut before sale63%58%35%63%unclear
Seller paid closing costs or repairs68%74%70%47%unclear
Has a view0%16%20%37%unclear

4.3 Homes over 2,599 SF sell for about $222K (58%) more than homes under 2,016 SF

2026-10-26T06:50:28.920235 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,016 SF 19 sales 2,016– 2,362 SF 19 sales 2,411– 2,599 SF 20 sales Over 2,599 SF 19 sales $0K $200K $400K $600K $380K $440K $539K $601K Net sale price, average

The average is $601K for homes over 2,599 SF and $380K 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

2026-10-26T06:50:28.944266 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,016 SF 19 sales 2,016– 2,362 SF 19 sales 2,411– 2,599 SF 20 sales Over 2,599 SF 19 sales $0 $100 $200 $215 $203 $215 $206 Net price per SF, average

The average is $206 per SF for homes over 2,599 SF and $215 per SF for homes under 2,016 SF. It does not move in a straight line; homes 2,411–2,599 SF are highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-10-26T06:50:28.967239 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,016 SF 19 sales 2,016– 2,362 SF 19 sales 2,411– 2,599 SF 20 sales Over 2,599 SF 19 sales 2018 2020 2022 2021 2020 2020 2022 Year built: median (dot) and middle half (bar)

The median is 2022 for homes over 2,599 SF and 2021 for homes under 2,016 SF. It does not move in a straight line; homes over 2,599 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-10-26T06:50:28.990752 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,016 SF 19 sales 2,016– 2,362 SF 19 sales 2,411– 2,599 SF 20 sales Over 2,599 SF 19 sales 0 25 50 75 37 50 17 71 Days on market, median

The median is 71 days for homes over 2,599 SF and 37 days for homes under 2,016 SF. It does not move in a straight line; homes over 2,599 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-26T06:50:29.014162 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,016 SF 19 sales 2,016– 2,362 SF 19 sales 2,411– 2,599 SF 20 sales Over 2,599 SF 19 sales 0.0% 2.5% 5.0% 7.5% 6.1% 6.5% 3.7% 8.2% Discount from original list, average

The average is 8.2% for homes over 2,599 SF and 6.1% for homes under 2,016 SF. It does not move in a straight line; homes over 2,599 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

2026-10-26T06:50:29.041622 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% 63 68 0 58 74 16 35 70 20 63 47 37 Under 2,016 SF 2,016–2,362 SF 2,411–2,599 SF Over 2,599 SF

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

  • 63% of homes over 2,599 SF had a price cut before sale, against 63% of homes under 2,016 SF. Defined in 8.1.7.
  • 47% of homes over 2,599 SF had the seller pay closing costs or repairs, against 68% of homes under 2,016 SF. Defined in 8.1.8.
  • 37% of homes over 2,599 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 SF19 sales2,016–2,362 SF19 sales2,411–2,599 SF20 salesOver 2,599 SF19 salesAll77 salesReal difference?
Net sale price average$379,571$440,361$538,777$601,154$490,599✓ large
Net price per SF average$215$203$215$206$210unclear
Living area average1,7672,1702,5082,9252,345by design
Year built median20212020202020222020unclear

4.10 The numbers: selling

Under 2,016 SF19 sales2,016–2,362 SF19 sales2,411–2,599 SF20 salesOver 2,599 SF19 salesAll77 salesReal difference?
Days on market median3750177147unclear
Discount from original list average6.1%6.5%3.7%8.2%6.1%unclear
Price cut before sale63%58%35%63%55%unclear
Seller paid closing costs or repairs68%74%70%47%65%unclear
Has a view0%16%20%37%18%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 · 77 sales · October 26, 2025 – October 25, 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.

2026-10-26T06:50:29.063326 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 16 26 11 24 77 sales Sales per group Before 2019: 16 sales (21%) 2019–2020: 26 sales (34%) 2021: 11 sales (14%) After 2021: 24 sales (31%)
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$456K$484K$426KLowest$550KHighest✓ large
Net price per SF$202 per SF$210 per SF$201 per SF$219 per SFunclear
Living area2,276 SF2,297 SF2,134 SF2,539 SFunclear
Days on market43 days34 days74 days56 daysunclear
Discount from original list6.7%4.6%8.4%6.1%unclear
Price cut before sale62%35%91%54%unclear
Seller paid closing costs or repairs75%81%55%46%unclear
Has a view25%12%9%25%unclear

5.3 Homes built after 2021 sell for about $94K (21%) more than homes built before 2019

2026-10-26T06:50:29.083876 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2019 16 sales 2019– 2020 26 sales 2021 11 sales After 2021 24 sales $0K $200K $400K $600K $456K $484K $426K $550K Net sale price, average

The average is $550K for homes built after 2021 and $456K 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

2026-10-26T06:50:29.107290 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2019 16 sales 2019– 2020 26 sales 2021 11 sales After 2021 24 sales $0 $100 $200 $202 $210 $201 $219 Net price per SF, average

The average is $219 per SF for homes built after 2021 and $202 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

2026-10-26T06:50:29.129014 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2019 16 sales 2019– 2020 26 sales 2021 11 sales After 2021 24 sales 0 1,000 2,000 3,000 2,276 2,297 2,134 2,539 Living area (SF), average

The average is 2,539 SF for homes built after 2021 and 2,276 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

2026-10-26T06:50:29.150846 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2019 16 sales 2019– 2020 26 sales 2021 11 sales After 2021 24 sales 0 25 50 75 43 34 74 56 Days on market, median

The median is 56 days for homes built after 2021 and 43 days for homes built before 2019. It does not move in a straight line; homes built 2021 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-10-26T06:50:29.173536 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2019 16 sales 2019– 2020 26 sales 2021 11 sales After 2021 24 sales 0.0% 5.0% 10.0% 6.7% 4.6% 8.4% 6.1% Discount from original list, average

The average is 6.1% for homes built after 2021 and 6.7% 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

2026-10-26T06:50:29.198542 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% 62 75 25 35 81 12 91 55 9 54 46 25 Before 2019 2019–2020 2021 After 2021

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

  • 54% of homes built after 2021 had a price cut before sale, against 62% of homes built before 2019. Defined in 8.1.7.
  • 46% of homes built after 2021 had the seller pay closing costs or repairs, against 75% of homes built before 2019. Defined in 8.1.8.
  • 25% of homes built after 2021 have a view, against 25% 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 201916 sales2019–202026 sales202111 salesAfter 202124 salesAll77 salesReal difference?
Net sale price average$456,070$484,304$425,695$550,187$490,599✓ large
Net price per SF average$202$210$201$219$210unclear
Living area average2,2762,2972,1342,5392,345unclear
Year built median20162020202120232020by design

5.10 The numbers: selling

Before 201916 sales2019–202026 sales202111 salesAfter 202124 salesAll77 salesReal difference?
Days on market median4334745647unclear
Discount from original list average6.7%4.6%8.4%6.1%6.1%unclear
Price cut before sale62%35%91%54%55%unclear
Seller paid closing costs or repairs75%81%55%46%65%unclear
Has a view25%12%9%25%18%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 · 77 sales · October 26, 2025 – October 25, 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.

2026-10-26T06:50:29.217075 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 14 61 75 sales Sales per group View: 14 sales (19%) No view: 61 sales (81%)
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$560K$474Kunclear
Net price per SF$208 per SF$209 per SFunclear
Living area2,690 SF2,275 SFunclear
Year built20202020unclear
Days on market17 days55 daysunclear
Discount from original list6.4%6.1%unclear
Price cut before sale43%59%unclear
Seller paid closing costs or repairs50%67%unclear

6.3 Net sale price: no clear difference

2026-10-26T06:50:29.232837 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 14 sales No view 61 sales $0K $200K $400K $600K $560K $474K Net sale price, average

The average is $560K for homes with a view and $474K 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

2026-10-26T06:50:29.250570 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 14 sales No view 61 sales $0 $100 $200 $208 $209 Net price per SF, average

The average is $208 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 Living area: no clear difference

2026-10-26T06:50:29.268340 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 14 sales No view 61 sales 0 1,000 2,000 3,000 2,690 2,275 Living area (SF), average

The average is 2,690 SF for homes with a view and 2,275 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-26T06:50:29.310768 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 14 sales No view 61 sales 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

2026-10-26T06:50:29.328200 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 14 sales No view 61 sales 0 20 40 60 17 55 Days on market, median

The median is 17 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

2026-10-26T06:50:29.346186 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 14 sales No view 61 sales 0.0% 2.0% 4.0% 6.0% 6.4% 6.1% Discount from original list, average

The average is 6.4% 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

2026-10-26T06:50:29.365078 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 43 50 59 67 View No view

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

  • 43% of homes with a view had a price cut before sale, against 59% of homes without a view. Defined in 8.1.7.
  • 50% of homes with a view had the seller pay closing costs or repairs, against 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

View14 salesNo view61 salesAll75 salesReal difference?
Net sale price average$560,000$474,476$490,441unclear
Net price per SF average$208$209$209unclear
Living area average2,6902,2752,352unclear
Year built median202020202020unclear

6.11 The numbers: selling

View14 salesNo view61 salesAll75 salesReal difference?
Days on market median175549unclear
Discount from original list average6.4%6.1%6.2%unclear
Price cut before sale43%59%56%unclear
Seller paid closing costs or repairs50%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 · 140 sales · October 26, 2025 – October 25, 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: 140 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
Sales140
Net sale price$603,744$572,496
Net price per SF$223$223
Living area (SF)2,7182,624
Days on market126116
Discount from original list10.2%10.3%
Price cut before sale69% of sales
Seller paid closing costs or repairs88% 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
77 resale sales. Average $490,599; median $479,000; standard deviation $106,805; middle half (25th–75th percentile) $421,000–$565,000; lowest $274,500, highest $834,000. 50 sales had a seller payment; their median payment was $8,218.

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
77 resale sales. Average $210; 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
77 resale sales. Average 2,345; median 2,411; standard deviation 460; middle half (25th–75th percentile) 2,016–2,599; 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
77 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
77 resale sales. Average 74; median 47; standard deviation 75; middle half (25th–75th percentile) 15–98; lowest 0, highest 372. 6 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
77 resale sales. Average 6.1%; median 4.8%; standard deviation 5.3%; middle half (25th–75th percentile) 2.0%–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
42 of 77 resale sales (54.5%).

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
50 of 77 resale sales (64.9%).

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
14 sales with a view, 61 without, 2 unclassified. Most common View entries: None 46, Neighborhood 20, Park/Greenbelt 14, 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 26, 2026: 239 closed Easton Park records over the prior year, in ZIP 78744, 78747. 15 subdivision spellings kept, the most common: Easton Park (196); Easton Park - Nelson Village (12); Easton Park 50s (6); Easton Park Sec 1C (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 44 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
217 single-family sales in the window: 77 resale, 140 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
77 resale; 140 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
21 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 (19 sales); $421K–$477K: $421,000–$477,000 (19 sales); $479K–$565K: $479,000–$565,000 (20 sales); Over $565K: $569,000–$834,000 (19 sales)
Quartiles by living area: Under 2,016 SF: 1,175–2,000 SF (19 sales); 2,016–2,362 SF: 2,016–2,362 SF (19 sales); 2,411–2,599 SF: 2,411–2,599 SF (20 sales); Over 2,599 SF: 2,607–3,583 SF (19 sales)
Quartiles by year built: Before 2019: 2015–2018 (16 sales); 2019–2020: 2019–2020 (26 sales); 2021: 2021–2021 (11 sales); After 2021: 2022–2026 (24 sales)
View and no view: View: MLS lists a view (14 sales); No view: None or Neighborhood (61 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 $490,599, median $479,000. Days on market: average 74, median 47: 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
3 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 = 8.5930.0353p < 0.0063Unclearε² = 0.113medium
Living areaKruskal–WallisH = 55.613< 0.0001p < 0.0063Yesε² = 0.732large
Year builtKruskal–WallisH = 9.8630.0198p < 0.0063Unclearε² = 0.130medium
Days on marketKruskal–WallisH = 1.7330.6312p < 0.0063Unclearε² = 0.023small
Discount from original listKruskal–WallisH = 4.9430.1762p < 0.0063Unclearε² = 0.065medium
Price cut before saleChi-squareχ² = 6.0030.1115p < 0.0063UnclearCramér’s V = 0.279small
Seller paid closing costs or repairsChi-squareχ² = 2.7530.4310p < 0.0063UnclearCramér’s V = 0.189small
Has a viewChi-squareχ² = 6.0830.1078p < 0.0063UnclearCramér’s V = 0.281small

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 55.543< 0.0001p < 0.0063Yesε² = 0.731large
Net price per SFKruskal–WallisH = 4.7230.1931p < 0.0063Unclearε² = 0.062medium
Year builtKruskal–WallisH = 5.4230.1435p < 0.0063Unclearε² = 0.071medium
Days on marketKruskal–WallisH = 4.4230.2199p < 0.0063Unclearε² = 0.058small
Discount from original listKruskal–WallisH = 7.9930.0463p < 0.0063Unclearε² = 0.105medium
Price cut before saleChi-squareχ² = 4.3030.2304p < 0.0063UnclearCramér’s V = 0.236small
Seller paid closing costs or repairsChi-squareχ² = 3.5430.3155p < 0.0063UnclearCramér’s V = 0.214small
Has a viewChi-squareχ² = 8.7930.0323p < 0.0063UnclearCramér’s V = 0.338medium

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 16.9130.0007p < 0.0063Yesε² = 0.222large
Net price per SFKruskal–WallisH = 5.2830.1522p < 0.0063Unclearε² = 0.070medium
Living areaKruskal–WallisH = 7.1430.0677p < 0.0063Unclearε² = 0.094medium
Days on marketKruskal–WallisH = 4.1930.2418p < 0.0063Unclearε² = 0.055small
Discount from original listKruskal–WallisH = 7.1930.0662p < 0.0063Unclearε² = 0.095medium
Price cut before saleChi-squareχ² = 10.4430.0152p < 0.0063UnclearCramér’s V = 0.368medium
Seller paid closing costs or repairsChi-squareχ² = 7.9430.0472p < 0.0063UnclearCramér’s V = 0.321medium
Has a viewChi-squareχ² = 2.6330.4518p < 0.0063UnclearCramér’s V = 0.185small

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 593.00—0.0244p < 0.0063Unclearrank-biserial r = 0.389medium
Net price per SFMann–Whitney UU = 388.00—0.6006p < 0.0063Unclearrank-biserial r = 0.091negligible
Living areaMann–Whitney UU = 621.50—0.0083p < 0.0063Unclearrank-biserial r = 0.456medium
Year builtMann–Whitney UU = 401.50—0.7317p < 0.0063Unclearrank-biserial r = 0.060negligible
Days on marketMann–Whitney UU = 324.00—0.1632p < 0.0063Unclearrank-biserial r = 0.241small
Discount from original listMann–Whitney UU = 386.50—0.5865p < 0.0063Unclearrank-biserial r = 0.095negligible
Price cut before saleChi-squareχ² = 1.2110.2720p < 0.0063UnclearCramér’s V = 0.127small
Seller paid closing costs or repairsChi-squareχ² = 1.4610.2262p < 0.0063UnclearCramér’s V = 0.140small

8.4 Data notes

Left out of the analysis: 140 new-construction sales (basic statistics only, section 7); 21 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 77 closed MLS resale sales; the 140 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled October 26, 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.