ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Forest North Estates Ph 3

Austin, TX 78729
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 · 4:08 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
28
single-family resale homes
Median net sale price
$465,000
average $466,610
Median net price per SF
$252
average $254
Median days on market
17 days
average 78 days
1. SummaryResale homes · 28 sales · November 5, 2025 – November 4, 2026

This study looks at the 28 resale homes sold in Forest North Estates Ph 3 in the 365 days to November 4, 2026. A full year is used because only 12 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 sold28 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 $400K · 7 sales$400K–$462K · 7 sales$468K–$512K · 7 salesOver $512K · 7 sales
3. Quartiles by net sale priceResale homes · 28 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.

2026-11-05T16:08:53.100389 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 7 7 7 7 28 sales Sales per group Under $400K: 7 sales (25%) $400K–$462K: 7 sales (25%) $468K–$512K: 7 sales (25%) Over $512K: 7 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 $400K$400K–$462K$468K–$512KOver $512KReal difference?
Net price per SF$255 per SF$234 per SF$250 per SF$279 per SFunclear
Living area1,581 SF1,873 SF2,057 SF2,107 SFunclear
Year built1975197519751977unclear
Days on market17 days108 days15 days17 daysunclear
Discount from original list7.6%9.6%7.6%3.1%unclear
Price cut before sale29%57%43%14%unclear
Seller paid closing costs or repairs43%71%57%43%unclear
Has a view0%14%14%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

2026-11-05T16:08:53.128791 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $400K 7 sales $400K– $462K 7 sales $468K– $512K 7 sales Over $512K 7 sales $0 $100 $200 $300 $255 $234 $250 $279 Net price per SF, average

The average is $279 per SF for homes over $512K and $255 per SF for homes under $400K. It does not move in a straight line; homes over $512K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Living area: no clear difference

2026-11-05T16:08:53.151960 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $400K 7 sales $400K– $462K 7 sales $468K– $512K 7 sales Over $512K 7 sales 0 1,000 2,000 1,581 1,873 2,057 2,107 Living area (SF), average

The average is 2,107 SF for homes over $512K and 1,581 SF for homes under $400K. 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

2026-11-05T16:08:53.174860 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $400K 7 sales $400K– $462K 7 sales $468K– $512K 7 sales Over $512K 7 sales 1975 1976 1977 1975 1975 1975 1977 Year built: median (dot) and middle half (bar)

The median is 1977 for homes over $512K and 1975 for homes under $400K. 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

2026-11-05T16:08:53.197692 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $400K 7 sales $400K– $462K 7 sales $468K– $512K 7 sales Over $512K 7 sales 0 50 100 17 108 15 17 Days on market, median

The median is 17 days for homes over $512K and 17 days for homes under $400K. It does not move in a straight line; homes $400K–$462K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-11-05T16:08:53.219665 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $400K 7 sales $400K– $462K 7 sales $468K– $512K 7 sales Over $512K 7 sales 0.0% 5.0% 10.0% 7.6% 9.6% 7.6% 3.1% Discount from original list, average

The average is 3.1% for homes over $512K and 7.6% for homes under $400K. It does not move in a straight line; homes $400K–$462K 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

2026-11-05T16:08:53.249746 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 57 71 14 43 57 14 14 43 29 Under $400K $400K–$462K $468K–$512K Over $512K

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

  • 14% of homes over $512K had a price cut before sale, against 29% of homes under $400K. Defined in 8.1.7.
  • 43% of homes over $512K had the seller pay closing costs or repairs, against 43% of homes under $400K. Defined in 8.1.8.
  • 29% of homes over $512K have a view, against 0% of homes under $400K. 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 $400K7 sales$400K–$462K7 sales$468K–$512K7 salesOver $512K7 salesAll28 salesReal difference?
Net sale price average$381,172$432,621$491,789$560,857$466,610by design
Net price per SF average$255$234$250$279$254unclear
Living area average1,5811,8732,0572,1071,905unclear
Year built median19751975197519771975unclear

3.10 The numbers: selling

Under $400K7 sales$400K–$462K7 sales$468K–$512K7 salesOver $512K7 salesAll28 salesReal difference?
Days on market median17108151717unclear
Discount from original list average7.6%9.6%7.6%3.1%7.0%unclear
Price cut before sale29%57%43%14%36%unclear
Seller paid closing costs or repairs43%71%57%43%54%unclear
Has a view0%14%14%29%14%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 · 28 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.

2026-11-05T16:08:53.270071 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 7 7 7 7 28 sales Sales per group Under 1,658 SF: 7 sales (25%) 1,658–1,780 SF: 7 sales (25%) 1,793–2,067 SF: 7 sales (25%) Over 2,067 SF: 7 sales (25%)
Bottom line

4.1 Key differences

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

Under 1,658 SF1,658–1,780 SF1,793–2,067 SFOver 2,067 SF
Larger homes Over 2,067 SF
  • Sell for less per square foot.
Smaller homes Under 1,658 SF
  • Sell for more per square foot.

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 1,658 SF1,658–1,780 SF1,793–2,067 SFOver 2,067 SFReal difference?
Net sale price$434K$484K$464K$484Kunclear
Net price per SF$307 per SFHighest$279 per SF$242 per SF$190 per SFLowest✓ large
Year built1975197519761977unclear
Days on market15 days76 days16 days25 daysunclear
Discount from original list6.4%5.6%6.1%9.8%unclear
Price cut before sale29%57%14%43%unclear
Seller paid closing costs or repairs71%71%29%43%unclear
Has a view14%14%14%14%unclear

4.3 Net sale price: no clear difference

2026-11-05T16:08:53.290773 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,658 SF 7 sales 1,658– 1,780 SF 7 sales 1,793– 2,067 SF 7 sales Over 2,067 SF 7 sales $0K $200K $400K $434K $484K $464K $484K Net sale price, average

The average is $484K for homes over 2,067 SF and $434K for homes under 1,658 SF. It does not move in a straight line; homes 1,658–1,780 SF are highest. Defined in 8.1.1.

– No clear difference · could be chance

4.4 Homes over 2,067 SF sell for about $117 per SF (38%) less than homes under 1,658 SF

2026-11-05T16:08:53.313383 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,658 SF 7 sales 1,658– 1,780 SF 7 sales 1,793– 2,067 SF 7 sales Over 2,067 SF 7 sales $0 $100 $200 $300 $307 $279 $242 $190 Net price per SF, average

The average is $190 per SF for homes over 2,067 SF and $307 per SF for homes under 1,658 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

✓ Real difference · large

4.5 Year built: no clear difference

2026-11-05T16:08:53.336310 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,658 SF 7 sales 1,658– 1,780 SF 7 sales 1,793– 2,067 SF 7 sales Over 2,067 SF 7 sales 1975 1976 1977 1975 1975 1976 1977 Year built: median (dot) and middle half (bar)

The median is 1977 for homes over 2,067 SF and 1975 for homes under 1,658 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-11-05T16:08:53.359453 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,658 SF 7 sales 1,658– 1,780 SF 7 sales 1,793– 2,067 SF 7 sales Over 2,067 SF 7 sales 0 25 50 75 15 76 16 25 Days on market, median

The median is 25 days for homes over 2,067 SF and 15 days for homes under 1,658 SF. It does not move in a straight line; homes 1,658–1,780 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-11-05T16:08:53.381998 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,658 SF 7 sales 1,658– 1,780 SF 7 sales 1,793– 2,067 SF 7 sales Over 2,067 SF 7 sales 0.0% 5.0% 10.0% 6.4% 5.6% 6.1% 9.8% Discount from original list, average

The average is 9.8% for homes over 2,067 SF and 6.4% for homes under 1,658 SF. It does not move in a straight line; homes over 2,067 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

2026-11-05T16:08:53.408504 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 71 14 57 71 14 14 29 14 43 43 14 Under 1,658 SF 1,658–1,780 SF 1,793–2,067 SF Over 2,067 SF

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

  • 43% of homes over 2,067 SF had a price cut before sale, against 29% of homes under 1,658 SF. Defined in 8.1.7.
  • 43% of homes over 2,067 SF had the seller pay closing costs or repairs, against 71% of homes under 1,658 SF. Defined in 8.1.8.
  • 14% of homes over 2,067 SF have a view, against 14% of homes under 1,658 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 1,658 SF7 sales1,658–1,780 SF7 sales1,793–2,067 SF7 salesOver 2,067 SF7 salesAll28 salesReal difference?
Net sale price average$433,786$484,321$464,500$483,833$466,610unclear
Net price per SF average$307$279$242$190$254✓ large
Living area average1,4161,7361,9212,5461,905by design
Year built median19751975197619771975unclear

4.10 The numbers: selling

Under 1,658 SF7 sales1,658–1,780 SF7 sales1,793–2,067 SF7 salesOver 2,067 SF7 salesAll28 salesReal difference?
Days on market median1576162517unclear
Discount from original list average6.4%5.6%6.1%9.8%7.0%unclear
Price cut before sale29%57%14%43%36%unclear
Seller paid closing costs or repairs71%71%29%43%54%unclear
Has a view14%14%14%14%14%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 · 28 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. Only 3 groups are shown: homes here share a few year built values, and no group may hold fewer than 3 sales.

2026-11-05T16:08:53.427938 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 15 4 9 28 sales Sales per group Before 1976: 15 sales (54%) 1976: 4 sales (14%) After 1976: 9 sales (32%)
Bottom line: too few sales to test.

5.1 Key differences

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

5.3 Net sale price: described, not tested

2026-11-05T16:08:53.446435 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1976 15 sales 1976 4 sales After 1976 9 sales $0K $200K $400K $600K $444K $441K $515K Net sale price, average

The average is $515K for homes built after 1976 and $444K for homes built before 1976. It does not move in a straight line; homes built after 1976 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-11-05T16:08:53.467545 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1976 15 sales 1976 4 sales After 1976 9 sales $0 $100 $200 $300 $261 $259 $241 Net price per SF, average

The average is $241 per SF for homes built after 1976 and $261 per SF for homes built before 1976. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-11-05T16:08:53.487880 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1976 15 sales 1976 4 sales After 1976 9 sales 0 1,000 2,000 1,752 1,738 2,233 Living area (SF), average

The average is 2,233 SF for homes built after 1976 and 1,752 SF for homes built before 1976. It does not move in a straight line; homes built after 1976 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-11-05T16:08:53.508103 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1976 15 sales 1976 4 sales After 1976 9 sales 0 10 20 30 40 37 10 15 Days on market, median

The median is 15 days for homes built after 1976 and 37 days for homes built before 1976. It does not move in a straight line; homes built before 1976 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-11-05T16:08:53.530862 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1976 15 sales 1976 4 sales After 1976 9 sales 0.0% 2.0% 4.0% 6.0% 8.0% 8.1% 6.1% 5.4% Discount from original list, average

The average is 5.4% for homes built after 1976 and 8.1% for homes built before 1976. It falls step by step from the lowest range to the highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-11-05T16:08:53.554917 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 53 13 25 75 0 33 44 22 Before 1976 1976 After 1976

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

  • 33% of homes built after 1976 had a price cut before sale, against 40% of homes built before 1976. Defined in 8.1.7.
  • 44% of homes built after 1976 had the seller pay closing costs or repairs, against 53% of homes built before 1976. Defined in 8.1.8.
  • 22% of homes built after 1976 have a view, against 13% of homes built before 1976. Defined in 8.1.9.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.
Has a view: Not tested: too few sales.

5.9 The numbers: price and size

Before 197615 sales19764 salesAfter 19769 salesAll28 sales
Net sale price average$444,317$440,676$515,292$466,610
Net price per SF average$261$259$241$254
Living area average1,7521,7382,2331,905
Year built median1975197619771975

5.10 The numbers: selling

Before 197615 sales19764 salesAfter 19769 salesAll28 sales
Days on market median37101517
Discount from original list average8.1%6.1%5.4%7.0%
Price cut before sale40%25%33%36%
Seller paid closing costs or repairs53%75%44%54%
Has a view13%0%22%14%

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 · 28 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. 1 sales whose MLS view entry is only “See Remarks” are left out.

2026-11-05T16:08:53.572399 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 23 27 sales Sales per group View: 4 sales (15%) No view: 23 sales (85%)
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

2026-11-05T16:08:53.589749 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 23 sales $0K $200K $400K $494K $465K Net sale price, average

The average is $494K for homes with a view and $465K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-11-05T16:08:53.607099 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 23 sales $0 $100 $200 $300 $245 $253 Net price per SF, average

The average is $245 per SF for homes with a view and $253 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-11-05T16:08:53.625252 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 23 sales 0 1,000 2,000 2,110 1,899 Living area (SF), average

The average is 2,110 SF for homes with a view and 1,899 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-11-05T16:08:53.671422 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 23 sales 1975 1976 1977 1978 1976 1975 Year built: median (dot) and middle half (bar)

The median is 1976 for homes with a view and 1975 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-11-05T16:08:53.690006 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 23 sales 0 10 20 24 17 Days on market, median

The median is 24 days for homes with a view and 17 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

2026-11-05T16:08:53.708407 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 23 sales 0.0% 2.0% 4.0% 6.0% 8.0% 4.9% 7.5% Discount from original list, average

The average is 4.9% for homes with a view and 7.5% 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

2026-11-05T16:08:53.728407 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 25 75 39 52 View No view

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

  • 25% of homes with a view had a price cut before sale, against 39% of homes without a view. Defined in 8.1.7.
  • 75% of homes with a view had the seller pay closing costs or repairs, against 52% 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

View4 salesNo view23 salesAll27 sales
Net sale price average$494,125$465,156$469,447
Net price per SF average$245$253$252
Living area average2,1101,8991,930
Year built median197619751975

6.11 The numbers: selling

View4 salesNo view23 salesAll27 sales
Days on market median241717
Discount from original list average4.9%7.5%7.1%
Price cut before sale25%39%37%
Seller paid closing costs or repairs75%52%56%

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 Forest North Estates Ph 3.

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
28 resale sales. Average $466,610; median $465,000; standard deviation $72,912; middle half (25th–75th percentile) $398,750–$515,500; lowest $352,000, highest $650,000. 15 sales had a seller payment; their median payment was $11,697.

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
28 resale sales. Average $254; median $252; standard deviation $55; middle half (25th–75th percentile) $206–$301; lowest $176, highest $370.

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
28 resale sales. Average 1,905; median 1,786; standard deviation 452; middle half (25th–75th percentile) 1,657–2,088; lowest 1,150, highest 2,937.

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
28 resale sales. Average 1977; median 1975; standard deviation 9; middle half (25th–75th percentile) 1975–1977; lowest 1973, highest 2021.

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
28 resale sales. Average 78; median 17; standard deviation 98; middle half (25th–75th percentile) 5–145; lowest 2, highest 286. 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
28 resale sales. Average 7.0%; median 4.8%; standard deviation 7.9%; middle half (25th–75th percentile) 3.3%–10.9%; lowest −8.5%, highest 28.4%. 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
10 of 28 resale sales (35.7%).

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
15 of 28 resale sales (53.6%).

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
4 sales with a view, 23 without, 1 unclassified. Most common View entries: None 17, Neighborhood 7, Trees/Woods 4, See Remarks 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 22:00 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Austin, SubdivisionName contains any of “forest north estates”, “village oaks” (case-insensitive). A record is kept when its subdivision name belongs to the Forest North Estates Ph 3 family, the same rule comparable sales use (it includes Village Oaks Sec 3, proven adjacent and priced alike).
The data
Pulled November 5, 2026: 28 closed Forest North Estates Ph 3 records over the prior year, in ZIP 78729. 8 subdivision spellings kept: Forest North Estates Ph 2 (8); Forest North Estates Ph 3 (7); Village Oaks Sec 3 (6); Forest North Estates Ph 4 (3); Forest North Estates Ph 1 (1); Village Oaks Sec 2 (1); Forest North Estates Ph 01 (1); Forest North Estates Phase 2 (1). No other names were found by the search.

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 12 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from November 5, 2025 to November 4, 2026 inclusive.
The data
28 single-family sales in the window: 28 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
28 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 $400K”.
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 $400K: $352,000–$395,000 (7 sales); $400K–$462K: $400,000–$462,500 (7 sales); $468K–$512K: $467,500–$512,500 (7 sales); Over $512K: $524,500–$650,000 (7 sales)
Quartiles by living area: Under 1,658 SF: 1,150–1,655 SF (7 sales); 1,658–1,780 SF: 1,658–1,780 SF (7 sales); 1,793–2,067 SF: 1,793–2,067 SF (7 sales); Over 2,067 SF: 2,151–2,937 SF (7 sales)
Groups by year built: Before 1976: 1973–1975 (15 sales); 1976: 1976–1976 (4 sales); After 1976: 1977–2021 (9 sales)
View and no view: View: MLS lists a view (4 sales); No view: None or Neighborhood (23 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 $466,610, median $465,000. Days on market: average 78, median 17: 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

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
1 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 = 1.8630.6011p < 0.0063Unclearε² = 0.069medium
Living areaKruskal–WallisH = 4.0630.2555p < 0.0063Unclearε² = 0.150large
Year builtKruskal–WallisH = 4.6530.1991p < 0.0063Unclearε² = 0.172large
Days on marketKruskal–WallisH = 3.0430.3852p < 0.0063Unclearε² = 0.113medium
Discount from original listKruskal–WallisH = 3.8730.2759p < 0.0063Unclearε² = 0.143large
Price cut before saleChi-squareχ² = 3.1130.3748p < 0.0063UnclearCramér’s V = 0.333medium
Seller paid closing costs or repairsChi-squareχ² = 1.5830.6640p < 0.0063UnclearCramér’s V = 0.238small
Has a viewChi-squareχ² = 2.3330.5062p < 0.0063UnclearCramér’s V = 0.289small

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 1.9730.5794p < 0.0063Unclearε² = 0.073medium
Net price per SFKruskal–WallisH = 18.6230.0003p < 0.0063Yesε² = 0.690large
Year builtKruskal–WallisH = 2.8330.4188p < 0.0063Unclearε² = 0.105medium
Days on marketKruskal–WallisH = 1.7030.6359p < 0.0063Unclearε² = 0.063medium
Discount from original listKruskal–WallisH = 1.1230.7730p < 0.0063Unclearε² = 0.041small
Price cut before saleChi-squareχ² = 3.1130.3748p < 0.0063UnclearCramér’s V = 0.333medium
Seller paid closing costs or repairsChi-squareχ² = 3.8830.2751p < 0.0063UnclearCramér’s V = 0.372medium
Has a viewChi-squareχ² = 0.0031.0000p < 0.0063UnclearCramér’s V = 0.000negligible

8.3.3 Groups by year built

Too few sales in a group to test.

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 28 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.