ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Mesa Park

Austin, TX 78759 · 78727
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 · 4:11 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
20
single-family resale homes
Median net sale price
$447,262
average $460,814
Median net price per SF
$312
average $309
Median days on market
58 days
average 89 days
1. SummaryResale homes · 20 sales · October 26, 2025 – October 25, 2026

This study looks at the 20 resale homes sold in Mesa Park in the 365 days to October 25, 2026. A full year is used because only 9 resale homes sold in the last 180 days. New construction is left out and shown on its own in section 7. The homes are compared four ways: by price, by living area, by year built and with or without a view. The first three are split into four equal groups (quartiles), each named by its range.

Each comparison has its own section (3–6) with everything about it in one place: the key differences, a table of every measure at a glance, the charts and the numbers.

2. Where the resale homes sold20 resale homes · colored by price range

Each dot is one resale home, colored by its price range. Use the buttons to show one price range at a time. Click a dot for that sale: address, close date, original and last list price, net sale price, living area, net sale per SF and days on market. Scroll or pinch to zoom.

Under $420K · 5 sales$420K–$440K · 5 sales$455K–$482K · 5 salesOver $482K · 5 sales
3. Quartiles by net sale priceResale homes · 20 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.

2026-10-26T04:12:05.171198 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 5 5 20 sales Sales per group Under $420K: 5 sales (25%) $420K–$440K: 5 sales (25%) $455K–$482K: 5 sales (25%) Over $482K: 5 sales (25%)
Bottom line: no measure differs enough between the groups to rule out chance.

3.1 Key differences

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

3.2 At a glance

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

Under $420K$420K–$440K$455K–$482KOver $482KReal difference?
Net price per SF$299 per SF$302 per SF$309 per SF$326 per SFunclear
Living area1,319 SF1,460 SF1,537 SF1,739 SFunclear
Year built1975197419731972unclear
Days on market34 days79 days48 days139 daysunclear
Discount from original list6.5%9.1%9.0%0.1%unclear
Price cut before sale40%40%60%20%unclear
Seller paid closing costs or repairs60%80%80%40%unclear
Has a view20%0%0%0%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

2026-10-26T04:12:05.201783 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $420K 5 sales $420K– $440K 5 sales $455K– $482K 5 sales Over $482K 5 sales $0 $100 $200 $300 $299 $302 $309 $326 Net price per SF, average

The average is $326 per SF for homes over $482K and $299 per SF for homes under $420K. 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 Living area: no clear difference

2026-10-26T04:12:05.226048 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $420K 5 sales $420K– $440K 5 sales $455K– $482K 5 sales Over $482K 5 sales 0 1,000 2,000 1,319 1,460 1,537 1,739 Living area (SF), average

The average is 1,739 SF for homes over $482K and 1,319 SF for homes under $420K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

– No clear difference · could be chance

3.5 Year built: no clear difference

2026-10-26T04:12:05.252091 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $420K 5 sales $420K– $440K 5 sales $455K– $482K 5 sales Over $482K 5 sales 1972 1973 1974 1975 1975 1974 1973 1972 Year built: median (dot) and middle half (bar)

The median is 1972 for homes over $482K and 1975 for homes under $420K. 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

2026-10-26T04:12:05.276308 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $420K 5 sales $420K– $440K 5 sales $455K– $482K 5 sales Over $482K 5 sales 0 50 100 150 34 79 48 139 Days on market, median

The median is 139 days for homes over $482K and 34 days for homes under $420K. It does not move in a straight line; homes over $482K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-26T04:12:05.299750 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $420K 5 sales $420K– $440K 5 sales $455K– $482K 5 sales Over $482K 5 sales 0.0% 5.0% 10.0% 6.5% 9.1% 9.0% 0.1% Discount from original list, average

The average is 0.1% for homes over $482K and 6.5% for homes under $420K. It does not move in a straight line; homes $420K–$440K 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

2026-10-26T04:12:05.331018 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% 40 60 20 40 80 0 60 80 0 20 40 0 Under $420K $420K–$440K $455K–$482K Over $482K

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

  • 20% of homes over $482K had a price cut before sale, against 40% of homes under $420K. Defined in 8.1.7.
  • 40% of homes over $482K had the seller pay closing costs or repairs, against 60% of homes under $420K. Defined in 8.1.8.
  • 0% of homes over $482K have a view, against 20% of homes under $420K. 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 $420K5 sales$420K–$440K5 sales$455K–$482K5 salesOver $482K5 salesAll20 salesReal difference?
Net sale price average$386,436$430,381$466,338$560,100$460,814by design
Net price per SF average$299$302$309$326$309unclear
Living area average1,3191,4601,5371,7391,514unclear
Year built median19751974197319721973unclear

3.10 The numbers: selling

Under $420K5 sales$420K–$440K5 sales$455K–$482K5 salesOver $482K5 salesAll20 salesReal difference?
Days on market median34794813958unclear
Discount from original list average6.5%9.1%9.0%0.1%6.2%unclear
Price cut before sale40%40%60%20%40%unclear
Seller paid closing costs or repairs60%80%80%40%65%unclear
Has a view20%0%0%0%5%unclear

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.1.

4. Quartiles by living areaResale homes · 20 sales · October 26, 2025 – October 25, 2026

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

2026-10-26T04:12:05.352512 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 5 5 20 sales Sales per group Under 1,312 SF: 5 sales (25%) 1,312–1,463 SF: 5 sales (25%) 1,494–1,622 SF: 5 sales (25%) Over 1,622 SF: 5 sales (25%)
Bottom line: no measure differs enough between the groups to rule out chance.

4.1 Key differences

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

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 1,312 SF1,312–1,463 SF1,494–1,622 SFOver 1,622 SFReal difference?
Net sale price$412K$455K$455K$522Kunclear
Net price per SF$343 per SF$323 per SF$290 per SF$279 per SFunclear
Year built1973197319751973unclear
Days on market79 days26 days9 days139 daysunclear
Discount from original list5.9%3.6%6.0%9.2%unclear
Price cut before sale40%20%40%60%unclear
Seller paid closing costs or repairs80%60%80%40%unclear
Has a view20%0%0%0%unclear

4.3 Net sale price: no clear difference

2026-10-26T04:12:05.373567 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,312 SF 5 sales 1,312– 1,463 SF 5 sales 1,494– 1,622 SF 5 sales Over 1,622 SF 5 sales $0K $200K $400K $600K $412K $455K $455K $522K Net sale price, average

The average is $522K for homes over 1,622 SF and $412K for homes under 1,312 SF. It does not move in a straight line; homes over 1,622 SF are highest. Defined in 8.1.1.

– No clear difference · could be chance

4.4 Net price per SF: no clear difference

2026-10-26T04:12:05.397625 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,312 SF 5 sales 1,312– 1,463 SF 5 sales 1,494– 1,622 SF 5 sales Over 1,622 SF 5 sales $0 $200 $400 $343 $323 $290 $279 Net price per SF, average

The average is $279 per SF for homes over 1,622 SF and $343 per SF for homes under 1,312 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

2026-10-26T04:12:05.421308 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,312 SF 5 sales 1,312– 1,463 SF 5 sales 1,494– 1,622 SF 5 sales Over 1,622 SF 5 sales 1972 1974 1976 1973 1973 1975 1973 Year built: median (dot) and middle half (bar)

The median is 1973 for homes over 1,622 SF and 1973 for homes under 1,312 SF. It does not move in a straight line; homes 1,494–1,622 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-10-26T04:12:05.445325 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,312 SF 5 sales 1,312– 1,463 SF 5 sales 1,494– 1,622 SF 5 sales Over 1,622 SF 5 sales 0 50 100 150 79 26 9 139 Days on market, median

The median is 139 days for homes over 1,622 SF and 79 days for homes under 1,312 SF. It does not move in a straight line; homes over 1,622 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-26T04:12:05.468985 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,312 SF 5 sales 1,312– 1,463 SF 5 sales 1,494– 1,622 SF 5 sales Over 1,622 SF 5 sales 0.0% 5.0% 10.0% 5.9% 3.6% 6.0% 9.2% Discount from original list, average

The average is 9.2% for homes over 1,622 SF and 5.9% for homes under 1,312 SF. It does not move in a straight line; homes over 1,622 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

2026-10-26T04:12:05.497192 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% 40 80 20 20 60 0 40 80 0 60 40 0 Under 1,312 SF 1,312–1,463 SF 1,494–1,622 SF Over 1,622 SF

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

  • 60% of homes over 1,622 SF had a price cut before sale, against 40% of homes under 1,312 SF. Defined in 8.1.7.
  • 40% of homes over 1,622 SF had the seller pay closing costs or repairs, against 80% of homes under 1,312 SF. Defined in 8.1.8.
  • 0% of homes over 1,622 SF have a view, against 20% of homes under 1,312 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 1,312 SF5 sales1,312–1,463 SF5 sales1,494–1,622 SF5 salesOver 1,622 SF5 salesAll20 salesReal difference?
Net sale price average$411,586$455,138$455,005$521,526$460,814unclear
Net price per SF average$343$323$290$279$309unclear
Living area average1,2021,4101,5711,8721,514by design
Year built median19731973197519731973unclear

4.10 The numbers: selling

Under 1,312 SF5 sales1,312–1,463 SF5 sales1,494–1,622 SF5 salesOver 1,622 SF5 salesAll20 salesReal difference?
Days on market median7926913958unclear
Discount from original list average5.9%3.6%6.0%9.2%6.2%unclear
Price cut before sale40%20%40%60%40%unclear
Seller paid closing costs or repairs80%60%80%40%65%unclear
Has a view20%0%0%0%5%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. Groups by year builtResale homes · 20 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. Only 3 groups are shown: homes here share a few year built values, and no group may hold fewer than 3 sales.

2026-10-26T04:12:05.517698 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 7 7 20 sales Sales per group Before 1973: 6 sales (30%) 1973–1974: 7 sales (35%) After 1974: 7 sales (35%)
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 19731973–1974After 1974Real difference?
Net sale price$513K$454K$423Kunclear
Net price per SF$350 per SF$293 per SF$290 per SFunclear
Living area1,482 SF1,574 SF1,480 SFunclear
Days on market50 days34 days105 daysunclear
Discount from original list1.3%5.9%10.7%unclear
Price cut before sale0%43%71%unclear
Seller paid closing costs or repairs50%100%43%unclear
Has a view0%14%0%unclear

5.3 Net sale price: no clear difference

2026-10-26T04:12:05.537234 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1973 6 sales 1973– 1974 7 sales After 1974 7 sales $0K $200K $400K $600K $513K $454K $423K Net sale price, average

The average is $423K for homes built after 1974 and $513K for homes built before 1973. It falls step by step from the lowest range to the highest. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-10-26T04:12:05.559939 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1973 6 sales 1973– 1974 7 sales After 1974 7 sales $0 $200 $400 $350 $293 $290 Net price per SF, average

The average is $290 per SF for homes built after 1974 and $350 per SF for homes built before 1973. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-10-26T04:12:05.580869 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1973 6 sales 1973– 1974 7 sales After 1974 7 sales 0 500 1,000 1,500 1,482 1,574 1,480 Living area (SF), average

The average is 1,480 SF for homes built after 1974 and 1,482 SF for homes built before 1973. It does not move in a straight line; homes built 1973–1974 are highest. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-10-26T04:12:05.602289 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1973 6 sales 1973– 1974 7 sales After 1974 7 sales 0 50 100 50 34 105 Days on market, median

The median is 105 days for homes built after 1974 and 50 days for homes built before 1973. It does not move in a straight line; homes built after 1974 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-10-26T04:12:05.625491 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1973 6 sales 1973– 1974 7 sales After 1974 7 sales 0.0% 5.0% 10.0% 1.3% 5.9% 10.7% Discount from original list, average

The average is 10.7% for homes built after 1974 and 1.3% for homes built before 1973. It rises step by step from the lowest range to the 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

2026-10-26T04:12:05.649803 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% 0 50 0 43 100 14 71 43 0 Before 1973 1973–1974 After 1974

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

  • 71% of homes built after 1974 had a price cut before sale, against 0% of homes built before 1973. Defined in 8.1.7.
  • 43% of homes built after 1974 had the seller pay closing costs or repairs, against 50% of homes built before 1973. Defined in 8.1.8.
  • 0% of homes built after 1974 have a view, against 0% of homes built before 1973. 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 19736 sales1973–19747 salesAfter 19747 salesAll20 salesReal difference?
Net sale price average$513,300$453,931$422,708$460,814unclear
Net price per SF average$350$293$290$309unclear
Living area average1,4821,5741,4801,514unclear
Year built median1972197319751973by design

5.10 The numbers: selling

Before 19736 sales1973–19747 salesAfter 19747 salesAll20 salesReal difference?
Days on market median503410558unclear
Discount from original list average1.3%5.9%10.7%6.2%unclear
Price cut before sale0%43%71%40%unclear
Seller paid closing costs or repairs50%100%43%65%unclear
Has a view0%14%0%5%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 · 20 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.

2026-10-26T04:12:05.668727 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 1 19 20 sales Sales per group View: 1 sales (5%) No view: 19 sales (95%)
Bottom line: too few sales to test.

6.1 Key differences

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

6.3 Net sale price: described, not tested

2026-10-26T04:12:05.687953 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 19 sales $0K $200K $400K $418K $463K Net sale price, average

The average is $418K for homes with a view and $463K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-26T04:12:05.707921 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 19 sales $0 $100 $200 $300 $400 $341 $307 Net price per SF, average

The average is $341 per SF for homes with a view and $307 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-26T04:12:05.726828 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 19 sales 0 500 1,000 1,500 1,224 1,529 Living area (SF), average

The average is 1,224 SF for homes with a view and 1,529 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-26T04:12:05.776207 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 19 sales 1972 1973 1974 1975 1973 1973 Year built: median (dot) and middle half (bar)

The median is 1973 for homes with a view and 1973 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-10-26T04:12:05.796027 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 19 sales 0 20 40 60 80 34 68 Days on market, median

The median is 34 days for homes with a view and 68 days for homes without a view. Defined in 8.1.5.

Not tested: too few sales.

6.8 Discount from original list: described, not tested

2026-10-26T04:12:05.815397 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 19 sales 0.0% 2.0% 4.0% 6.0% 4.8% 6.2% Discount from original list, average

The average is 4.8% for homes with a view and 6.2% for homes without a view. Defined in 8.1.6.

Not tested: too few sales.

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

2026-10-26T04:12:05.836714 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 0 100 42 63 View No view

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

  • 0% of homes with a view had a price cut before sale, against 42% of homes without a view. Defined in 8.1.7.
  • 100% of homes with a view had the seller pay closing costs or repairs, against 63% of homes without a view. Defined in 8.1.8.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.

6.10 The numbers: price and size

View1 salesNo view19 salesAll20 sales
Net sale price average$417,850$463,075$460,814
Net price per SF average$341$307$309
Living area average1,2241,5291,514
Year built median197319731973

6.11 The numbers: selling

View1 salesNo view19 salesAll20 sales
Days on market median346858
Discount from original list average4.8%6.2%6.2%
Price cut before sale0%42%40%
Seller paid closing costs or repairs100%63%65%

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.4.

7. New constructionBasic statistics · 0 sales · 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: 0 sales, no groups, no tests.

Note: these are only the new-construction sales reported in ABOR MLS. Builders often sell homes without listing them in the MLS, so these figures do not necessarily represent all new-construction sales in Mesa Park.

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

Same definitions as the rest of the study (section 8). New construction = NewConstructionYN true, or PropertyCondition “New Construction” or “Under Construction”.

8. AppendixMeasures, methods and tests

Each measure and method three ways: in plain words, as statistics, and with the data from this study.

8.1 Measures

8.1.1 Net sale price

In simple terms
What the seller actually kept: the closing price, less money the seller gave back to the buyer for closing costs or repairs. It is the truest price for comparing homes.
Statistically
Net = ClosePrice − ACTRIS_BuyersClsgCostPdbySell − ACTRIS_RepairsAmount (a blank counts as $0). Summarized by the arithmetic mean in the slices.
The data
20 resale sales. Average $460,814; median $447,262; standard deviation $71,406; middle half (25th–75th percentile) $419,462–$484,250; lowest $347,000, highest $620,000. 13 sales had a seller payment; their median payment was $6,500.

8.1.2 Net price per SF

In simple terms
Net sale price divided by the heated and cooled square feet. It puts homes of different sizes on the same footing: did buyers pay more for each square foot, not just for more square feet?
Statistically
psf = Net ÷ LivingArea, per sale; summarized by the mean of the per-sale ratios.
The data
20 resale sales. Average $309; median $312; standard deviation $46; middle half (25th–75th percentile) $258–$344; lowest $236, highest $374.

8.1.3 Living area

In simple terms
The heated and cooled space, as listed in the MLS. Garages and porches are not counted.
Statistically
RESO LivingArea, in square feet. Sales under 400 SF are treated as entry errors and left out.
The data
20 resale sales. Average 1,514; median 1,478; standard deviation 262; middle half (25th–75th percentile) 1,308–1,652; lowest 1,080, highest 1,999.

8.1.4 Year built

In simple terms
The year the home was finished, as listed in the MLS. It shows whether a group leans to older or newer phases of the community.
Statistically
RESO YearBuilt; summarized by the median, with the 25th–75th percentile (middle half) on the charts.
The data
20 resale sales. Average 1974; median 1973; standard deviation 2; middle half (25th–75th percentile) 1972–1975; lowest 1972, highest 1981.

8.1.5 Days on market

In simple terms
How many days the home was on the market before the buyer's offer was accepted, counting any earlier listing periods (relists). This is the days on market agents and clients quote.
Statistically
CDOM = max(CumulativeDaysOnMarket, DaysOnMarket, PurchaseContractDate − ListingContractDate). The MLS counter can freeze at a price change, so the contract-date gap is a floor. Summarized by the median, because a few homes that sat for months pull an average up.
The data
20 resale sales. Average 89; median 58; standard deviation 89; middle half (25th–75th percentile) 9–157; lowest 3, highest 264. 0 sales went under contract on their listing date (0 days).

8.1.6 Discount from original list

In simple terms
How far below the first asking price the home sold, after seller payments. It measures how much negotiating room sellers gave up. A negative figure means the home sold above its first asking price.
Statistically
Discount % = (OriginalListPrice − Net) ÷ OriginalListPrice × 100, per sale; summarized by the mean.
The data
20 resale sales. Average 6.2%; median 5.1%; standard deviation 7.0%; middle half (25th–75th percentile) 1.4%–10.9%; lowest −5.7%, highest 22.4%. 3 sales closed above their first asking price.

8.1.7 Price cut before sale

In simple terms
The asking price was lowered at least once before the home went under contract.
Statistically
Indicator: ListPrice at close < OriginalListPrice. Reported as the share of sales (%).
The data
8 of 20 resale sales (40.0%).

8.1.8 Seller paid closing costs or repairs

In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
13 of 20 resale sales (65.0%).

8.1.9 Has a view

In simple terms
The MLS says the home looks over something: a greenbelt or park, trees, golf course, hill country, water and similar.
Statistically
View = the View field holds any entry other than “None”, “Neighborhood” or “See Remarks”. No view = only “None” and/or “Neighborhood”. A record whose only entry is “See Remarks” cannot be classified and is left out of the view slice.
The data
1 sales with a view, 19 without, 0 unclassified. Most common View entries: None 14, Neighborhood 6, City 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 “mesa park” (case-insensitive). A record is kept when its subdivision name belongs to the Mesa Park family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 20 closed Mesa Park records over the prior year, in ZIP 78759, 78727. 10 subdivision spellings kept: Mesa Park Sec 04 (4); Mesa Park Sec 02 (4); Mesa Park Sec 01 (3); Mesa Park (2); Mesa Park Ph 02 Sec 01 (2); Mesa Park Ph 03 (1); Mesa Park Sec 03 (1); Mesa Park Sec 2 (1); Mesa Park Ph 02 Sec 02 (1); Mesa Park Sec 06 (1). Names found by the search but not part of Mesa Park, left out: MESA PARK PHS 2 SEC 2 (1); MESA PARK PHS 2 SEC 1 (1); MESA PARK PHS 3 (1).

8.2.2 Study window

In simple terms
The most recent 365 days of closed sales: recent enough to describe today's market, long enough to give each group plenty of sales. The usual window is 180 days; it holds only 9 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
20 single-family sales in the window: 20 resale, 0 new construction.

8.2.3 Resale and new construction

In simple terms
A resale home was previously owned. New construction is sold by the builder and behaves differently, so it is kept out of every analysis and reported once on its own.
Statistically
New construction = NewConstructionYN true, or PropertyCondition contains “New Construction” or “Under Construction”. Everything else is resale.
The data
20 resale; 0 new construction.

8.2.4 Sales left out

In simple terms
A few records cannot be used as entered and are left out before any analysis.
Statistically
Excluded: PropertySubType other than Single Family Residence; no OriginalListPrice; LivingArea under 400 SF; seller payments above 10% of ClosePrice (treated as entry errors).
The data
None in this window.

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 $420K”.
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 $420K: $347,000–$417,850 (5 sales); $420K–$440K: $420,000–$439,525 (5 sales); $455K–$482K: $455,000–$482,000 (5 sales); Over $482K: $491,000–$620,000 (5 sales)
Quartiles by living area: Under 1,312 SF: 1,080–1,294 SF (5 sales); 1,312–1,463 SF: 1,312–1,463 SF (5 sales); 1,494–1,622 SF: 1,494–1,622 SF (5 sales); Over 1,622 SF: 1,741–1,999 SF (5 sales)
Groups by year built: Before 1973: 1972–1972 (6 sales); 1973–1974: 1973–1974 (7 sales); After 1974: 1975–1981 (7 sales)
View and no view: View: MLS lists a view (1 sales); No view: None or Neighborhood (19 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 $460,814, median $447,262. Days on market: average 89, median 58: 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; Groups by year built: 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
0 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 = 0.7030.8725p < 0.0063Unclearε² = 0.037small
Living areaKruskal–WallisH = 6.6930.0824p < 0.0063Unclearε² = 0.352large
Year builtKruskal–WallisH = 6.1930.1025p < 0.0063Unclearε² = 0.326large
Days on marketKruskal–WallisH = 1.6830.6424p < 0.0063Unclearε² = 0.088medium
Discount from original listKruskal–WallisH = 5.7730.1236p < 0.0063Unclearε² = 0.303large
Price cut before saleChi-squareχ² = 1.6730.6444p < 0.0063UnclearCramér’s V = 0.289small
Seller paid closing costs or repairsChi-squareχ² = 2.4230.4904p < 0.0063UnclearCramér’s V = 0.348medium
Has a viewChi-squareχ² = 3.1630.3679p < 0.0063UnclearCramér’s V = 0.397medium

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 6.6830.0828p < 0.0063Unclearε² = 0.352large
Net price per SFKruskal–WallisH = 7.1630.0670p < 0.0063Unclearε² = 0.377large
Year builtKruskal–WallisH = 4.8030.1868p < 0.0063Unclearε² = 0.253large
Days on marketKruskal–WallisH = 2.1930.5333p < 0.0063Unclearε² = 0.115medium
Discount from original listKruskal–WallisH = 1.1330.7709p < 0.0063Unclearε² = 0.059small
Price cut before saleChi-squareχ² = 1.6730.6444p < 0.0063UnclearCramér’s V = 0.289small
Seller paid closing costs or repairsChi-squareχ² = 2.4230.4904p < 0.0063UnclearCramér’s V = 0.348medium
Has a viewChi-squareχ² = 3.1630.3679p < 0.0063UnclearCramér’s V = 0.397medium

8.3.3 Groups by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 4.7820.0916p < 0.0063Unclearε² = 0.252large
Net price per SFKruskal–WallisH = 7.4220.0245p < 0.0063Unclearε² = 0.390large
Living areaKruskal–WallisH = 0.3420.8416p < 0.0063Unclearε² = 0.018small
Days on marketKruskal–WallisH = 0.3120.8551p < 0.0063Unclearε² = 0.016small
Discount from original listKruskal–WallisH = 5.6320.0599p < 0.0063Unclearε² = 0.296large
Price cut before saleChi-squareχ² = 6.9020.0317p < 0.0063UnclearCramér’s V = 0.588large
Seller paid closing costs or repairsChi-squareχ² = 5.8720.0531p < 0.0063UnclearCramér’s V = 0.542large
Has a viewChi-squareχ² = 1.9520.3763p < 0.0063UnclearCramér’s V = 0.313medium

8.3.4 View and no view

Too few sales in a group to test.

8.4 Data notes

Left out of the analysis: 0 new-construction sales (basic statistics only, section 7); nothing else. Statistics: Python, NumPy 2.5.3, SciPy 1.18.1.

8.5 References

  1. Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Erlbaum.
  2. Cramér, H. (1946). Mathematical Methods of Statistics. Princeton University Press.
  3. Dunn, O. J. (1961). Multiple comparisons among means. JASA, 56(293), 52–64.
  4. Kerby, D. S. (2014). The simple difference formula: an approach to teaching nonparametric correlation. Comprehensive Psychology, 3, 11.IT.3.1.
  5. Kruskal, W. H., & Wallis, W. A. (1952). Use of ranks in one-criterion variance analysis. JASA, 47(260), 583–621.
  6. Mann, H. B., & Whitney, D. R. (1947). On a test of whether one of two random variables is stochastically larger than the other. Annals of Mathematical Statistics, 18(1), 50–60.
  7. Pearson, K. (1900). On the criterion that a given system of deviations… Philosophical Magazine, 50(302), 157–175.
  8. Tomczak, M., & Tomczak, E. (2014). The need to report effect size estimates revisited. Trends in Sport Sciences, 21(1), 19–25.

This is a market study of closed sales, not an appraisal or an opinion of value for any home. The analysis covers 20 closed MLS resale sales; the 0 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled 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.