ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Oak Forest Sec 04 Amd

Austin, TX 78759
Resale homes · closed Nov 5 – Nov 4, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
November 5, 2026 · 3:17 PM 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
26
single-family resale homes
Median net sale price
$696,500
average $670,021
Median net price per SF
$345
average $340
Median days on market
22 days
average 54 days
1. SummaryResale homes · 26 sales · November 5, 2025 – November 4, 2026

This study looks at the 26 resale homes sold in Oak Forest Sec 04 Amd in the 365 days to November 4, 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 sold26 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 · 6 sales$620K–$695K · 7 sales$698K–$736K · 7 salesOver $736K · 6 sales
3. Quartiles by net sale priceResale homes · 26 sales · November 5, 2025 – November 4, 2026

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

2026-11-05T15:17:35.917527 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 7 7 6 26 sales Sales per group Under $620K: 6 sales (23%) $620K–$695K: 7 sales (27%) $698K–$736K: 7 sales (27%) Over $736K: 6 sales (23%)
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–$736KOver $736KReal difference?
Net price per SF$319 per SF$324 per SF$343 per SF$378 per SFunclear
Living area1,618 SF2,034 SF2,146 SF2,178 SFunclear
Year built1980197919791980unclear
Days on market6 days54 days21 days4 daysunclear
Discount from original list4.6%7.5%2.2%0.0%unclear
Price cut before sale17%71%14%0%unclear
Seller paid closing costs or repairs50%100%43%67%unclear
Has a view0%0%14%17%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

2026-11-05T15:17:35.945242 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $620K 6 sales $620K– $695K 7 sales $698K– $736K 7 sales Over $736K 6 sales $0 $200 $400 $319 $324 $343 $378 Net price per SF, average

The average is $378 per SF for homes over $736K and $319 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

2026-11-05T15:17:35.967604 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $620K 6 sales $620K– $695K 7 sales $698K– $736K 7 sales Over $736K 6 sales 0 1,000 2,000 1,618 2,034 2,146 2,178 Living area (SF), average

The average is 2,178 SF for homes over $736K and 1,618 SF for homes under $620K. 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

2026-11-05T15:17:35.989674 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $620K 6 sales $620K– $695K 7 sales $698K– $736K 7 sales Over $736K 6 sales 1976 1978 1980 1980 1979 1979 1980 Year built: median (dot) and middle half (bar)

The median is 1980 for homes over $736K and 1980 for homes under $620K. It does not move in a straight line; homes over $736K are highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-11-05T15:17:36.010953 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $620K 6 sales $620K– $695K 7 sales $698K– $736K 7 sales Over $736K 6 sales 0 20 40 60 6 54 21 4 Days on market, median

The median is 4 days for homes over $736K and 6 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

2026-11-05T15:17:36.033784 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $620K 6 sales $620K– $695K 7 sales $698K– $736K 7 sales Over $736K 6 sales 0.0% 2.5% 5.0% 7.5% 4.6% 7.5% 2.2% 0.0% Discount from original list, average

The average is 0.0% for homes over $736K and 4.6% 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

2026-11-05T15:17:36.063381 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% 17 50 0 71 100 0 14 43 14 0 67 17 Under $620K $620K–$695K $698K–$736K Over $736K

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

  • 0% of homes over $736K had a price cut before sale, against 17% of homes under $620K. Defined in 8.1.7.
  • 67% of homes over $736K had the seller pay closing costs or repairs, against 50% of homes under $620K. Defined in 8.1.8.
  • 17% of homes over $736K 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 $620K6 sales$620K–$695K7 sales$698K–$736K7 salesOver $736K6 salesAll26 salesReal difference?
Net sale price average$516,042$642,471$711,724$807,486$670,021by design
Net price per SF average$319$324$343$378$340unclear
Living area average1,6182,0342,1462,1782,002unclear
Year built median19801979197919801980unclear

3.10 The numbers: selling

Under $620K6 sales$620K–$695K7 sales$698K–$736K7 salesOver $736K6 salesAll26 salesReal difference?
Days on market median65421422unclear
Discount from original list average4.6%7.5%2.2%0.0%3.7%unclear
Price cut before sale17%71%14%0%27%unclear
Seller paid closing costs or repairs50%100%43%67%65%unclear
Has a view0%0%14%17%8%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 · 26 sales · November 5, 2025 – November 4, 2026

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

2026-11-05T15:17:36.083381 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 7 7 6 26 sales Sales per group Under 1,721 SF: 6 sales (23%) 1,721–1,822 SF: 7 sales (27%) 1,914–2,402 SF: 7 sales (27%) Over 2,402 SF: 6 sales (23%)
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 1,721 SF1,721–1,822 SF1,914–2,402 SFOver 2,402 SFReal difference?
Net sale price$550K$658K$725K$740Kunclear
Net price per SF$347 per SF$370 per SF$350 per SF$288 per SFunclear
Year built1980197919801978unclear
Days on market18 days39 days13 days26 daysunclear
Discount from original list2.4%4.5%2.4%5.5%unclear
Price cut before sale33%43%0%33%unclear
Seller paid closing costs or repairs50%71%57%83%unclear
Has a view0%14%14%0%unclear

4.3 Net sale price: no clear difference

2026-11-05T15:17:36.103989 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,721 SF 6 sales 1,721– 1,822 SF 7 sales 1,914– 2,402 SF 7 sales Over 2,402 SF 6 sales $0K $250K $500K $750K $550K $658K $725K $740K Net sale price, average

The average is $740K for homes over 2,402 SF and $550K for homes under 1,721 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

– No clear difference · could be chance

4.4 Net price per SF: no clear difference

2026-11-05T15:17:36.126501 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,721 SF 6 sales 1,721– 1,822 SF 7 sales 1,914– 2,402 SF 7 sales Over 2,402 SF 6 sales $0 $200 $400 $347 $370 $350 $288 Net price per SF, average

The average is $288 per SF for homes over 2,402 SF and $347 per SF for homes under 1,721 SF. It does not move in a straight line; homes 1,721–1,822 SF are highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-11-05T15:17:36.148463 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,721 SF 6 sales 1,721– 1,822 SF 7 sales 1,914– 2,402 SF 7 sales Over 2,402 SF 6 sales 1978 1980 1982 1980 1979 1980 1978 Year built: median (dot) and middle half (bar)

The median is 1978 for homes over 2,402 SF and 1980 for homes under 1,721 SF. It does not move in a straight line; homes 1,914–2,402 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-11-05T15:17:36.169610 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,721 SF 6 sales 1,721– 1,822 SF 7 sales 1,914– 2,402 SF 7 sales Over 2,402 SF 6 sales 0 20 40 18 39 13 26 Days on market, median

The median is 26 days for homes over 2,402 SF and 18 days for homes under 1,721 SF. It does not move in a straight line; homes 1,721–1,822 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-11-05T15:17:36.191581 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,721 SF 6 sales 1,721– 1,822 SF 7 sales 1,914– 2,402 SF 7 sales Over 2,402 SF 6 sales 0.0% 2.0% 4.0% 6.0% 2.4% 4.5% 2.4% 5.5% Discount from original list, average

The average is 5.5% for homes over 2,402 SF and 2.4% for homes under 1,721 SF. It does not move in a straight line; homes over 2,402 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

2026-11-05T15:17:36.216980 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% 33 50 0 43 71 14 0 57 14 33 83 0 Under 1,721 SF 1,721–1,822 SF 1,914–2,402 SF Over 2,402 SF

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

  • 33% of homes over 2,402 SF had a price cut before sale, against 33% of homes under 1,721 SF. Defined in 8.1.7.
  • 83% of homes over 2,402 SF had the seller pay closing costs or repairs, against 50% of homes under 1,721 SF. Defined in 8.1.8.
  • 0% of homes over 2,402 SF have a view, against 0% of homes under 1,721 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 1,721 SF6 sales1,721–1,822 SF7 sales1,914–2,402 SF7 salesOver 2,402 SF6 salesAll26 salesReal difference?
Net sale price average$549,833$657,793$725,481$739,769$670,021unclear
Net price per SF average$347$370$350$288$340unclear
Living area average1,5751,7772,0902,5882,002by design
Year built median19801979198019781980unclear

4.10 The numbers: selling

Under 1,721 SF6 sales1,721–1,822 SF7 sales1,914–2,402 SF7 salesOver 2,402 SF6 salesAll26 salesReal difference?
Days on market median1839132622unclear
Discount from original list average2.4%4.5%2.4%5.5%3.7%unclear
Price cut before sale33%43%0%33%27%unclear
Seller paid closing costs or repairs50%71%57%83%65%unclear
Has a view0%14%14%0%8%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 · 26 sales · November 5, 2025 – November 4, 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.

2026-11-05T15:17:36.237305 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 7 6 7 6 26 sales Sales per group Before 1979: 7 sales (27%) 1979: 6 sales (23%) 1980–1981: 7 sales (27%) After 1981: 6 sales (23%)
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 197919791980–1981After 1981Real difference?
Net sale price$687K$648K$705K$633Kunclear
Net price per SF$344 per SF$358 per SF$339 per SF$319 per SFunclear
Living area2,039 SF1,803 SF2,156 SF1,976 SFunclear
Days on market52 days27 days8 days9 daysunclear
Discount from original list4.6%2.7%2.4%5.2%unclear
Price cut before sale29%33%14%33%unclear
Seller paid closing costs or repairs86%83%43%50%unclear
Has a view14%0%0%17%unclear

5.3 Net sale price: no clear difference

2026-11-05T15:17:36.257151 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1979 7 sales 1979 6 sales 1980– 1981 7 sales After 1981 6 sales $0K $250K $500K $750K $687K $648K $705K $633K Net sale price, average

The average is $633K for homes built after 1981 and $687K for homes built before 1979. It does not move in a straight line; homes built 1980–1981 are highest. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-11-05T15:17:36.278153 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1979 7 sales 1979 6 sales 1980– 1981 7 sales After 1981 6 sales $0 $200 $400 $344 $358 $339 $319 Net price per SF, average

The average is $319 per SF for homes built after 1981 and $344 per SF for homes built before 1979. It does not move in a straight line; homes built 1979 are highest. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-11-05T15:17:36.299748 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1979 7 sales 1979 6 sales 1980– 1981 7 sales After 1981 6 sales 0 1,000 2,000 2,039 1,803 2,156 1,976 Living area (SF), average

The average is 1,976 SF for homes built after 1981 and 2,039 SF for homes built before 1979. It does not move in a straight line; homes built 1980–1981 are highest. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-11-05T15:17:36.320130 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1979 7 sales 1979 6 sales 1980– 1981 7 sales After 1981 6 sales 0 20 40 60 52 27 8 9 Days on market, median

The median is 9 days for homes built after 1981 and 52 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

2026-11-05T15:17:36.342142 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1979 7 sales 1979 6 sales 1980– 1981 7 sales After 1981 6 sales 0.0% 2.0% 4.0% 6.0% 4.6% 2.7% 2.4% 5.2% Discount from original list, average

The average is 5.2% for homes built after 1981 and 4.6% for homes built before 1979. It does not move in a straight line; homes built after 1981 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

2026-11-05T15:17:36.366933 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 86 14 33 83 0 14 43 0 33 50 17 Before 1979 1979 1980–1981 After 1981

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

  • 33% of homes built after 1981 had a price cut before sale, against 29% of homes built before 1979. Defined in 8.1.7.
  • 50% of homes built after 1981 had the seller pay closing costs or repairs, against 86% of homes built before 1979. Defined in 8.1.8.
  • 17% of homes built after 1981 have a view, against 14% 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 19797 sales19796 sales1980–19817 salesAfter 19816 salesAll26 salesReal difference?
Net sale price average$686,786$647,542$704,588$632,612$670,021unclear
Net price per SF average$344$358$339$319$340unclear
Living area average2,0391,8032,1561,9762,002unclear
Year built median19751979198019831980by design

5.10 The numbers: selling

Before 19797 sales19796 sales1980–19817 salesAfter 19816 salesAll26 salesReal difference?
Days on market median52278922unclear
Discount from original list average4.6%2.7%2.4%5.2%3.7%unclear
Price cut before sale29%33%14%33%27%unclear
Seller paid closing costs or repairs86%83%43%50%65%unclear
Has a view14%0%0%17%8%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 · 26 sales · November 5, 2025 – November 4, 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.

2026-11-05T15:17:36.384592 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 2 24 26 sales Sales per group View: 2 sales (8%) No view: 24 sales (92%)
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

2026-11-05T15:17:36.401441 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 24 sales $0K $200K $400K $600K $800K $774K $661K Net sale price, average

The average is $774K for homes with a view and $661K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-11-05T15:17:36.419789 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 24 sales $0 $100 $200 $300 $400 $386 $337 Net price per SF, average

The average is $386 per SF for homes with a view and $337 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-11-05T15:17:36.438041 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 24 sales 0 500 1,000 1,500 2,000 2,018 2,000 Living area (SF), average

The average is 2,018 SF for homes with a view and 2,000 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-11-05T15:17:36.478870 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 24 sales 1977 1978 1979 1980 1981 1979 1980 Year built: median (dot) and middle half (bar)

The median is 1979 for homes with a view and 1980 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-11-05T15:17:36.497938 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 24 sales 0 25 50 75 100 100 22 Days on market, median

The median is 100 days for homes with a view and 22 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

2026-11-05T15:17:36.517018 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 24 sales 0.0% 1.0% 2.0% 3.0% 4.0% 1.0% 3.9% Discount from original list, average

The average is 1.0% for homes with a view and 3.9% 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

2026-11-05T15:17:36.535671 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 0 100 29 62 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 29% 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 62% 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 view24 salesAll26 sales
Net sale price average$774,150$661,343$670,021
Net price per SF average$386$337$340
Living area average2,0182,0002,002
Year built median197919801980

6.11 The numbers: selling

View2 salesNo view24 salesAll26 sales
Days on market median1002222
Discount from original list average1.0%3.9%3.7%
Price cut before sale0%29%27%
Seller paid closing costs or repairs100%62%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 · November 5, 2025 – November 4, 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 Sec 04 Amd.

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
26 resale sales. Average $670,021; median $696,500; standard deviation $116,418; middle half (25th–75th percentile) $620,000–$734,500; 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
26 resale sales. Average $340; median $345; standard deviation $59; middle half (25th–75th percentile) $302–$388; 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
26 resale sales. Average 2,002; median 1,868; standard deviation 407; middle half (25th–75th percentile) 1,728–2,361; 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
26 resale sales. Average 1979; median 1980; standard deviation 3; middle half (25th–75th percentile) 1978–1981; 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
26 resale sales. Average 54; median 22; standard deviation 77; 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
26 resale sales. Average 3.7%; median 4.1%; standard deviation 6.5%; middle half (25th–75th percentile) −0.1%–7.2%; 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 26 resale sales (26.9%).

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 26 resale sales (65.4%).

8.1.9 Has a view

In simple terms
The MLS says the home looks over something: a greenbelt or park, trees, golf course, hill country, water and similar.
Statistically
View = the View field holds any entry other than “None”, “Neighborhood” or “See Remarks”. No view = only “None” and/or “Neighborhood”. A record whose only entry is “See Remarks” cannot be classified and is left out of the view slice.
The data
2 sales with a view, 24 without, 0 unclassified. Most common View entries: None 20, 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 2026-11-05 21:15 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 Sec 04 Amd family, the same rule comparable sales use (it includes Balcones Oaks, proven adjacent and priced alike).
The data
Pulled November 5, 2026: 26 closed Oak Forest Sec 04 Amd 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); Balcones Oaks Sec 03-A (2); Oak Forest Sec 03 (2); BALCONES OAKS (1); Oak Forest Sec 02 (1); Balcones Oaks (1). Names found by the search but not part of Oak Forest Sec 04 Amd, 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 5, 2025 to November 4, 2026 inclusive.
The data
26 single-family sales in the window: 26 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
26 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 (6 sales); $620K–$695K: $620,000–$695,000 (7 sales); $698K–$736K: $698,000–$736,000 (7 sales); Over $736K: $770,000–$840,000 (6 sales)
Quartiles by living area: Under 1,721 SF: 1,458–1,704 SF (6 sales); 1,721–1,822 SF: 1,721–1,822 SF (7 sales); 1,914–2,402 SF: 1,914–2,402 SF (7 sales); Over 2,402 SF: 2,420–3,068 SF (6 sales)
Quartiles by year built: Before 1979: 1975–1977 (7 sales); 1979: 1979–1979 (6 sales); 1980–1981: 1980–1981 (7 sales); After 1981: 1982–1983 (6 sales)
View and no view: View: MLS lists a view (2 sales); No view: None or Neighborhood (24 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 $670,021, median $696,500. Days on market: average 54, median 22: 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 = 3.8130.2830p < 0.0063Unclearε² = 0.152large
Living areaKruskal–WallisH = 10.6930.0135p < 0.0063Unclearε² = 0.428large
Year builtKruskal–WallisH = 0.6230.8920p < 0.0063Unclearε² = 0.025small
Days on marketKruskal–WallisH = 7.1230.0681p < 0.0063Unclearε² = 0.285large
Discount from original listKruskal–WallisH = 4.8430.1839p < 0.0063Unclearε² = 0.194large
Price cut before saleChi-squareχ² = 10.1530.0174p < 0.0063UnclearCramér’s V = 0.625large
Seller paid closing costs or repairsChi-squareχ² = 5.9130.1162p < 0.0063UnclearCramér’s V = 0.477medium
Has a viewChi-squareχ² = 2.1930.5334p < 0.0063UnclearCramér’s V = 0.290small

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 10.2630.0165p < 0.0063Unclearε² = 0.410large
Net price per SFKruskal–WallisH = 6.8330.0777p < 0.0063Unclearε² = 0.273large
Year builtKruskal–WallisH = 1.2830.7339p < 0.0063Unclearε² = 0.051small
Days on marketKruskal–WallisH = 1.2530.7405p < 0.0063Unclearε² = 0.050small
Discount from original listKruskal–WallisH = 1.3530.7168p < 0.0063Unclearε² = 0.054small
Price cut before saleChi-squareχ² = 3.7330.2918p < 0.0063UnclearCramér’s V = 0.379medium
Seller paid closing costs or repairsChi-squareχ² = 1.8030.6139p < 0.0063UnclearCramér’s V = 0.263small
Has a viewChi-squareχ² = 1.8630.6026p < 0.0063UnclearCramér’s V = 0.267small

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 1.0430.7923p < 0.0063Unclearε² = 0.041small
Net price per SFKruskal–WallisH = 1.3830.7111p < 0.0063Unclearε² = 0.055small
Living areaKruskal–WallisH = 1.0130.7988p < 0.0063Unclearε² = 0.040small
Days on marketKruskal–WallisH = 3.3830.3363p < 0.0063Unclearε² = 0.135medium
Discount from original listKruskal–WallisH = 1.3130.7268p < 0.0063Unclearε² = 0.052small
Price cut before saleChi-squareχ² = 0.8330.8426p < 0.0063UnclearCramér’s V = 0.179small
Seller paid closing costs or repairsChi-squareχ² = 4.3330.2280p < 0.0063UnclearCramér’s V = 0.408medium
Has a viewChi-squareχ² = 2.1930.5334p < 0.0063UnclearCramér’s V = 0.290small

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 26 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 5, 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.