ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Oak Forest

Austin, TX 78759
Resale homes · closed Nov 8 – Nov 7, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
November 8, 2026 · 3:45 AM CST
MARKET STUDY All analysis covers resale homes only. New construction appears once, in its own section. Click any dot on the map for that sale.
Resale sales, 365 days
27
single-family resale homes
Median net sale price
$695,000
average $662,057
Median net price per SF
$343
average $337
Median days on market
24 days
average 55 days
1. SummaryResale homes · 27 sales · November 8, 2025 – November 7, 2026

This study looks at the 27 resale homes sold in Oak Forest in the 365 days to November 7, 2026. A full year is used because only 15 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 sold27 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 $620K · 7 sales$620K–$695K · 7 sales$698K–$730K · 6 salesOver $730K · 7 sales
3. Quartiles by net sale priceResale homes · 27 sales · November 8, 2025 – November 7, 2026

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

2026-11-08T03:46:00.114247 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 7 7 6 7 27 sales Sales per group Under $620K: 7 sales (26%) $620K–$695K: 7 sales (26%) $698K–$730K: 6 sales (22%) Over $730K: 7 sales (26%)
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 $620K$620K–$695K$698K–$730KOver $730KReal difference?
Net price per SF$309 per SF$324 per SF$332 per SF$383 per SFunclear
Living area1,645 SF2,034 SF2,205 SF2,123 SFunclear
Year built1979197919801980unclear
Days on market8 days54 days18 days5 daysunclear
Discount from original list5.1%7.5%2.3%0.3%unclear
Price cut before sale14%71%17%0%unclear
Seller paid closing costs or repairs43%100%33%71%unclear
Has a view0%0%0%29%unclear

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

3.3 Net price per SF: no clear difference

2026-11-08T03:46:00.147027 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $620K 7 sales $620K– $695K 7 sales $698K– $730K 6 sales Over $730K 7 sales $0 $200 $400 $309 $324 $332 $383 Net price per SF, average

The average is $383 per SF for homes over $730K and $309 per SF for homes under $620K. 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

2026-11-08T03:46:00.177788 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $620K 7 sales $620K– $695K 7 sales $698K– $730K 6 sales Over $730K 7 sales 0 1,000 2,000 1,645 2,034 2,205 2,123 Living area (SF), average

The average is 2,123 SF for homes over $730K and 1,645 SF for homes under $620K. It does not move in a straight line; homes $698K–$730K are highest. Defined in 8.1.3.

– No clear difference · could be chance

3.5 Year built: no clear difference

2026-11-08T03:46:00.205570 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $620K 7 sales $620K– $695K 7 sales $698K– $730K 6 sales Over $730K 7 sales 1976 1978 1980 1982 1979 1979 1980 1980 Year built: median (dot) and middle half (bar)

The median is 1980 for homes over $730K and 1979 for homes under $620K. 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

2026-11-08T03:46:00.233457 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $620K 7 sales $620K– $695K 7 sales $698K– $730K 6 sales Over $730K 7 sales 0 20 40 60 8 54 18 5 Days on market, median

The median is 5 days for homes over $730K and 8 days for homes under $620K. It does not move in a straight line; homes $620K–$695K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-11-08T03:46:00.258918 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $620K 7 sales $620K– $695K 7 sales $698K– $730K 6 sales Over $730K 7 sales 0.0% 2.5% 5.0% 7.5% 5.1% 7.5% 2.3% 0.3% Discount from original list, average

The average is 0.3% for homes over $730K and 5.1% for homes under $620K. It does not move in a straight line; homes $620K–$695K are highest. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-11-08T03:46:00.399039 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% 14% 43% 0% 71% 100% 0% 17% 33% 0% 0% 71% 29% Under $620K $620K–$695K $698K–$730K Over $730K

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

  • 0% of homes over $730K had a price cut before sale, against 14% of homes under $620K. Defined in 8.1.7.
  • 71% of homes over $730K had the seller pay closing costs or repairs, against 43% of homes under $620K. Defined in 8.1.8.
  • 29% of homes over $730K have a view, against 0% of homes under $620K. 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 $620K7 sales$620K–$695K7 sales$698K–$730K6 salesOver $730K7 salesAll27 salesReal difference?
Net sale price average$507,321$642,471$707,678$797,274$662,057by design
Net price per SF average$309$324$332$383$337unclear
Living area average1,6452,0342,2052,1231,994unclear
Year built median19791979198019801979unclear

3.10 The numbers: selling

Under $620K7 sales$620K–$695K7 sales$698K–$730K6 salesOver $730K7 salesAll27 salesReal difference?
Days on market median85418524unclear
Discount from original list average5.1%7.5%2.3%0.3%3.9%unclear
Price cut before sale14%71%17%0%26%unclear
Seller paid closing costs or repairs43%100%33%71%63%unclear
Has a view0%0%0%29%7%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 · 27 sales · November 8, 2025 – November 7, 2026

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

2026-11-08T03:46:00.496503 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 7 7 6 7 27 sales Sales per group Under 1,749 SF: 7 sales (26%) 1,749–1,822 SF: 7 sales (26%) 1,914–2,239 SF: 6 sales (22%) Over 2,239 SF: 7 sales (26%)
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 1,749 SF1,749–1,822 SF1,914–2,239 SFOver 2,239 SFReal difference?
Net sale price$581K$613K$743K$723Kunclear
Net price per SF$362 per SF$342 per SF$365 per SF$283 per SFunclear
Year built1980197919801980unclear
Days on market8 days49 days10 days24 daysunclear
Discount from original list1.7%6.0%1.5%5.8%unclear
Price cut before sale29%43%0%29%unclear
Seller paid closing costs or repairs43%71%50%86%unclear
Has a view0%14%17%0%unclear

4.3 Net sale price: no clear difference

2026-11-08T03:46:00.518208 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,749 SF 7 sales 1,749– 1,822 SF 7 sales 1,914– 2,239 SF 6 sales Over 2,239 SF 7 sales $0K $250K $500K $750K $581K $613K $743K $723K Net sale price, average

The average is $723K for homes over 2,239 SF and $581K for homes under 1,749 SF. It does not move in a straight line; homes 1,914–2,239 SF are highest. Defined in 8.1.1.

– No clear difference · could be chance

4.4 Net price per SF: no clear difference

2026-11-08T03:46:00.541979 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,749 SF 7 sales 1,749– 1,822 SF 7 sales 1,914– 2,239 SF 6 sales Over 2,239 SF 7 sales $0 $200 $400 $362 $342 $365 $283 Net price per SF, average

The average is $283 per SF for homes over 2,239 SF and $362 per SF for homes under 1,749 SF. It does not move in a straight line; homes 1,914–2,239 SF are highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-11-08T03:46:00.564672 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,749 SF 7 sales 1,749– 1,822 SF 7 sales 1,914– 2,239 SF 6 sales Over 2,239 SF 7 sales 1978 1980 1982 1980 1979 1980 1980 Year built: median (dot) and middle half (bar)

The median is 1980 for homes over 2,239 SF and 1980 for homes under 1,749 SF. It does not move in a straight line; homes under 1,749 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-11-08T03:46:00.587490 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,749 SF 7 sales 1,749– 1,822 SF 7 sales 1,914– 2,239 SF 6 sales Over 2,239 SF 7 sales 0 20 40 8 49 10 24 Days on market, median

The median is 24 days for homes over 2,239 SF and 8 days for homes under 1,749 SF. It does not move in a straight line; homes 1,749–1,822 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-11-08T03:46:00.609270 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,749 SF 7 sales 1,749– 1,822 SF 7 sales 1,914– 2,239 SF 6 sales Over 2,239 SF 7 sales 0.0% 2.0% 4.0% 6.0% 1.7% 6.0% 1.5% 5.8% Discount from original list, average

The average is 5.8% for homes over 2,239 SF and 1.7% for homes under 1,749 SF. It does not move in a straight line; homes 1,749–1,822 SF are highest. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-11-08T03:46:00.634633 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% 29% 43% 0% 43% 71% 14% 0% 50% 17% 29% 86% 0% Under 1,749 SF 1,749–1,822 SF 1,914–2,239 SF Over 2,239 SF

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

  • 29% of homes over 2,239 SF had a price cut before sale, against 29% of homes under 1,749 SF. Defined in 8.1.7.
  • 86% of homes over 2,239 SF had the seller pay closing costs or repairs, against 43% of homes under 1,749 SF. Defined in 8.1.8.
  • 0% of homes over 2,239 SF have a view, against 0% of homes under 1,749 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 1,749 SF7 sales1,749–1,822 SF7 sales1,914–2,239 SF6 salesOver 2,239 SF7 salesAll27 salesReal difference?
Net sale price average$581,286$612,793$743,062$722,659$662,057unclear
Net price per SF average$362$342$365$283$337unclear
Living area average1,5961,7882,0382,5611,994by design
Year built median19801979198019801979unclear

4.10 The numbers: selling

Under 1,749 SF7 sales1,749–1,822 SF7 sales1,914–2,239 SF6 salesOver 2,239 SF7 salesAll27 salesReal difference?
Days on market median849102424unclear
Discount from original list average1.7%6.0%1.5%5.8%3.9%unclear
Price cut before sale29%43%0%29%26%unclear
Seller paid closing costs or repairs43%71%50%86%63%unclear
Has a view0%14%17%0%7%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 · 27 sales · November 8, 2025 – November 7, 2026

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

2026-11-08T03:46:00.655714 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 8 6 5 8 27 sales Sales per group Before 1979: 8 sales (30%) 1979: 6 sales (22%) 1980: 5 sales (19%) After 1980: 8 sales (30%)
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 197919791980After 1980Real difference?
Net sale price$658K$648K$726K$637Kunclear
Net price per SF$333 per SF$358 per SF$360 per SF$311 per SFunclear
Living area2,010 SF1,803 SF2,064 SF2,078 SFunclear
Days on market54 days27 days8 days9 daysunclear
Discount from original list5.0%2.7%2.8%4.3%unclear
Price cut before sale25%33%20%25%unclear
Seller paid closing costs or repairs75%83%40%50%unclear
Has a view12%0%0%12%unclear

5.3 Net sale price: no clear difference

2026-11-08T03:46:00.676283 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1979 8 sales 1979 6 sales 1980 5 sales After 1980 8 sales $0K $200K $400K $600K $800K $658K $648K $726K $637K Net sale price, average

The average is $637K for homes built after 1980 and $658K for homes built before 1979. It does not move in a straight line; homes built 1980 are highest. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-11-08T03:46:00.699734 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1979 8 sales 1979 6 sales 1980 5 sales After 1980 8 sales $0 $100 $200 $300 $400 $333 $358 $360 $311 Net price per SF, average

The average is $311 per SF for homes built after 1980 and $333 per SF for homes built before 1979. It does not move in a straight line; homes built 1980 are highest. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-11-08T03:46:00.722268 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1979 8 sales 1979 6 sales 1980 5 sales After 1980 8 sales 0 500 1,000 1,500 2,000 2,010 1,803 2,064 2,078 Living area (SF), average

The average is 2,078 SF for homes built after 1980 and 2,010 SF for homes built before 1979. It does not move in a straight line; homes built after 1980 are highest. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-11-08T03:46:00.743977 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1979 8 sales 1979 6 sales 1980 5 sales After 1980 8 sales 0 20 40 60 54 27 8 9 Days on market, median

The median is 9 days for homes built after 1980 and 54 days for homes built before 1979. It does not move in a straight line; homes built before 1979 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-11-08T03:46:00.777809 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1979 8 sales 1979 6 sales 1980 5 sales After 1980 8 sales 0.0% 2.0% 4.0% 6.0% 5.0% 2.7% 2.8% 4.3% Discount from original list, average

The average is 4.3% for homes built after 1980 and 5.0% for homes built before 1979. It does not move in a straight line; homes built before 1979 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

2026-11-08T03:46:00.827532 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% 25% 75% 12% 33% 83% 0% 20% 40% 0% 25% 50% 12% Before 1979 1979 1980 After 1980

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

  • 25% of homes built after 1980 had a price cut before sale, against 25% of homes built before 1979. Defined in 8.1.7.
  • 50% of homes built after 1980 had the seller pay closing costs or repairs, against 75% of homes built before 1979. Defined in 8.1.8.
  • 12% of homes built after 1980 have a view, against 12% of homes built before 1979. 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 19798 sales19796 sales19805 salesAfter 19808 salesAll27 salesReal difference?
Net sale price average$657,812$647,542$725,823$637,334$662,057unclear
Net price per SF average$333$358$360$311$337unclear
Living area average2,0101,8032,0642,0781,994unclear
Year built median19761979198019821979by design

5.10 The numbers: selling

Before 19798 sales19796 sales19805 salesAfter 19808 salesAll27 salesReal difference?
Days on market median54278924unclear
Discount from original list average5.0%2.7%2.8%4.3%3.9%unclear
Price cut before sale25%33%20%25%26%unclear
Seller paid closing costs or repairs75%83%40%50%63%unclear
Has a view12%0%0%12%7%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 · 27 sales · November 8, 2025 – November 7, 2026

Sales where the MLS lists a view (greenbelt or park, trees, golf course, hill country, water and similar) against those listing none or only the neighborhood.

2026-11-08T03:46:00.870871 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 2 25 27 sales Sales per group View: 2 sales (7%) No view: 25 sales (93%)
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

2026-11-08T03:46:00.900796 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 25 sales $0K $200K $400K $600K $800K $774K $653K Net sale price, average

The average is $774K for homes with a view and $653K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-11-08T03:46:00.941200 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 25 sales $0 $100 $200 $300 $400 $386 $333 Net price per SF, average

The average is $386 per SF for homes with a view and $333 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-11-08T03:46:00.978378 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 25 sales 0 500 1,000 1,500 2,000 2,018 1,992 Living area (SF), average

The average is 2,018 SF for homes with a view and 1,992 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-11-08T03:46:01.074048 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 25 sales 1977 1978 1979 1980 1981 1979 1979 Year built: median (dot) and middle half (bar)

The median is 1979 for homes with a view and 1979 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-11-08T03:46:01.116967 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 25 sales 0 25 50 75 100 100 24 Days on market, median

The median is 100 days for homes with a view and 24 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

2026-11-08T03:46:01.159860 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 25 sales 0.0% 1.0% 2.0% 3.0% 4.0% 1.0% 4.1% Discount from original list, average

The average is 1.0% for homes with a view and 4.1% 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

2026-11-08T03:46:01.198968 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 0% 100% 28% 60% 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 28% 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 60% 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

View2 salesNo view25 salesAll27 sales
Net sale price average$774,150$653,089$662,057
Net price per SF average$386$333$337
Living area average2,0181,9921,994
Year built median197919791979

6.11 The numbers: selling

View2 salesNo view25 salesAll27 sales
Days on market median1002424
Discount from original list average1.0%4.1%3.9%
Price cut before sale0%28%26%
Seller paid closing costs or repairs100%60%63%

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

7. New constructionBasic statistics · 0 sales · November 8, 2025 – November 7, 2026

Homes sold new by the builder in the same 365 days. They are left out of every other section and shown here as basic figures only: 0 sales, no groups, no tests.

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

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
27 resale sales. Average $662,057; median $695,000; standard deviation $121,426; middle half (25th–75th percentile) $611,625–$733,000; lowest $330,000, highest $840,000. 17 sales had a seller payment; their median payment was $3,500.

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
27 resale sales. Average $337; median $343; standard deviation $60; middle half (25th–75th percentile) $294–$387; lowest $226, highest $447.

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
27 resale sales. Average 1,994; median 1,822; standard deviation 401; middle half (25th–75th percentile) 1,735–2,320; lowest 1,458, highest 3,068.

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
27 resale sales. Average 1979; median 1979; standard deviation 3; middle half (25th–75th percentile) 1977–1981; lowest 1975, highest 1983.

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
27 resale sales. Average 55; median 24; standard deviation 76; middle half (25th–75th percentile) 5–54; lowest 2, highest 302. 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
27 resale sales. Average 3.9%; median 4.8%; standard deviation 6.4%; middle half (25th–75th percentile) −0.1%–7.7%; lowest −7.7%, highest 15.6%. 7 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
7 of 27 resale sales (25.9%).

8.1.8 Seller paid closing costs or repairs

In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
17 of 27 resale sales (63.0%).

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
2 sales with a view, 25 without, 0 unclassified. Most common View entries: None 21, Neighborhood 5, Trees/Woods 2.

8.2 Methods

8.2.1 Data source

In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
ABOR MLS via secure APIs, read from ALEX's copy of the MLS (refreshed every 15 minutes; this pull as of 2026-11-08 09:45 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Austin, SubdivisionName contains any of “oak forest”, “balcones oaks” (case-insensitive). A record is kept when its subdivision name belongs to the Oak Forest family, the same rule comparable sales use (it includes Balcones Oaks, proven adjacent and priced alike).
The data
Pulled November 8, 2026: 27 closed Oak Forest records over the prior year, in ZIP 78759. 8 subdivision spellings kept: Oak Forest Sec 04 Amd (9); Oak Forest Sec 05-A (7); Oak Forest (3); Oak Forest Sec 03 (3); Balcones Oaks Sec 03-A (2); BALCONES OAKS (1); Balcones Oaks (1); Oak Forest Sec 02 (1). Names found by the search but not part of Oak Forest, left out: Highlands At Oak Forest (5); Highlands at Oak Forest (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 15 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from November 8, 2025 to November 7, 2026 inclusive.
The data
27 single-family sales in the window: 27 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
27 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 $620K”.
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 $620K: $330,000–$603,250 (7 sales); $620K–$695K: $620,000–$695,000 (7 sales); $698K–$730K: $698,000–$730,000 (6 sales); Over $730K: $736,000–$840,000 (7 sales)
Quartiles by living area: Under 1,749 SF: 1,458–1,721 SF (7 sales); 1,749–1,822 SF: 1,749–1,822 SF (7 sales); 1,914–2,239 SF: 1,914–2,239 SF (6 sales); Over 2,239 SF: 2,402–3,068 SF (7 sales)
Quartiles by year built: Before 1979: 1975–1977 (8 sales); 1979: 1979–1979 (6 sales); 1980: 1980–1980 (5 sales); After 1980: 1981–1983 (8 sales)
View and no view: View: MLS lists a view (2 sales); No view: None or Neighborhood (25 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 $662,057, median $695,000. Days on market: average 55, median 24: 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

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 = 6.0130.1109p < 0.0063Unclearε² = 0.231large
Living areaKruskal–WallisH = 10.3630.0157p < 0.0063Unclearε² = 0.398large
Year builtKruskal–WallisH = 0.4830.9229p < 0.0063Unclearε² = 0.019small
Days on marketKruskal–WallisH = 4.5230.2102p < 0.0063Unclearε² = 0.174large
Discount from original listKruskal–WallisH = 5.0430.1686p < 0.0063Unclearε² = 0.194large
Price cut before saleChi-squareχ² = 10.7630.0131p < 0.0063UnclearCramér’s V = 0.631large
Seller paid closing costs or repairsChi-squareχ² = 7.8130.0502p < 0.0063UnclearCramér’s V = 0.538large
Has a viewChi-squareχ² = 6.1730.1036p < 0.0063UnclearCramér’s V = 0.478medium

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 8.8730.0311p < 0.0063Unclearε² = 0.341large
Net price per SFKruskal–WallisH = 8.3930.0385p < 0.0063Unclearε² = 0.323large
Year builtKruskal–WallisH = 0.4630.9272p < 0.0063Unclearε² = 0.018small
Days on marketKruskal–WallisH = 2.8130.4221p < 0.0063Unclearε² = 0.108medium
Discount from original listKruskal–WallisH = 3.9830.2636p < 0.0063Unclearε² = 0.153large
Price cut before saleChi-squareχ² = 3.2030.3624p < 0.0063UnclearCramér’s V = 0.344medium
Seller paid closing costs or repairsChi-squareχ² = 3.4130.3320p < 0.0063UnclearCramér’s V = 0.356medium
Has a viewChi-squareχ² = 2.3530.5025p < 0.0063UnclearCramér’s V = 0.295small

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 1.7830.6188p < 0.0063Unclearε² = 0.069medium
Net price per SFKruskal–WallisH = 2.8930.4086p < 0.0063Unclearε² = 0.111medium
Living areaKruskal–WallisH = 0.7930.8519p < 0.0063Unclearε² = 0.030small
Days on marketKruskal–WallisH = 4.1530.2462p < 0.0063Unclearε² = 0.159large
Discount from original listKruskal–WallisH = 1.3030.7295p < 0.0063Unclearε² = 0.050small
Price cut before saleChi-squareχ² = 0.2730.9656p < 0.0063UnclearCramér’s V = 0.100small
Seller paid closing costs or repairsChi-squareχ² = 3.2730.3516p < 0.0063UnclearCramér’s V = 0.348medium
Has a viewChi-squareχ² = 1.4930.6857p < 0.0063UnclearCramér’s V = 0.235small

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 27 closed MLS resale sales; the 0 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled November 8, 2026. Map data © OpenStreetMap contributors. ALEX Companies · Licensed by the Texas Real Estate Commission · Broker: Alexander Tiffany Southwest, LLC (ALEX Real Estate), #565194-BB · Diane Hart Alexander, Designated Broker, #574877-B.