ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Southland Oaks

Austin, TX 78748 · 78739
Resale homes · closed Nov 9 – Nov 8, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
November 9, 2026 · 5:51 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
20
single-family resale homes
Median net sale price
$553,750
average $560,208
Median net price per SF
$244
average $244
Median days on market
28 days
average 68 days
1. SummaryResale homes · 20 sales · November 9, 2025 – November 8, 2026

This study looks at the 20 resale homes sold in Southland Oaks in the 365 days to November 8, 2026. A full year is used because only 11 resale homes sold in the last 180 days. New construction is left out and shown on its own in section 7. The homes are compared four ways: by price, by living area, by year built and with or without a view. The first three are split into four equal groups (quartiles), each named by its range.

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

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

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

Under $422K · 5 sales$422K–$550K · 5 sales$558K–$654K · 5 salesOver $654K · 5 sales
3. Quartiles by net sale priceResale homes · 20 sales · November 9, 2025 – November 8, 2026

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

2026-11-09T05:51:52.540955 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 5 5 20 sales Sales per group Under $422K: 5 sales (25%) $422K–$550K: 5 sales (25%) $558K–$654K: 5 sales (25%) Over $654K: 5 sales (25%)
Bottom line

3.1 Key differences

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

Under $422K$422K–$550K$558K–$654KOver $654K
Higher-priced homes Over $654K
  • Are much larger.
Lower-priced homes Under $422K
  • Are much smaller.

3.2 At a glance

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

Under $422K$422K–$550K$558K–$654KOver $654KReal difference?
Net price per SF$240 per SF$259 per SF$260 per SF$218 per SFunclear
Living area1,648 SFSmallest1,944 SF2,385 SF3,453 SFLargest✓ large
Year built1998199919982000unclear
Days on market108 days21 days25 days17 daysunclear
Discount from original list11.7%2.6%5.6%1.8%unclear
Price cut before sale80%40%60%40%unclear
Seller paid closing costs or repairs40%20%40%60%unclear
Has a view20%0%0%60%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

2026-11-09T05:51:52.579436 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $422K 5 sales $422K– $550K 5 sales $558K– $654K 5 sales Over $654K 5 sales $0 $100 $200 $300 $240 $259 $260 $218 Net price per SF, average

The average is $218 per SF for homes over $654K and $240 per SF for homes under $422K. It does not move in a straight line; homes $558K–$654K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Homes over $654K are about 1,800 SF (110%) larger than homes under $422K

2026-11-09T05:51:52.610234 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $422K 5 sales $422K– $550K 5 sales $558K– $654K 5 sales Over $654K 5 sales 0 2,000 4,000 1,648 1,944 2,385 3,453 Living area (SF), average

The average is 3,453 SF for homes over $654K and 1,648 SF for homes under $422K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

✓ Real difference · large

3.5 Year built: no clear difference

2026-11-09T05:51:52.641670 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $422K 5 sales $422K– $550K 5 sales $558K– $654K 5 sales Over $654K 5 sales 1997 1998 1999 2000 1998 1999 1998 2000 Year built: median (dot) and middle half (bar)

The median is 2000 for homes over $654K and 1998 for homes under $422K. It does not move in a straight line; homes over $654K are highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-11-09T05:51:52.674647 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $422K 5 sales $422K– $550K 5 sales $558K– $654K 5 sales Over $654K 5 sales 0 50 100 108 21 25 17 Days on market, median

The median is 17 days for homes over $654K and 108 days for homes under $422K. It does not move in a straight line; homes under $422K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-11-09T05:51:52.707236 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $422K 5 sales $422K– $550K 5 sales $558K– $654K 5 sales Over $654K 5 sales 0.0% 5.0% 10.0% 11.7% 2.6% 5.6% 1.8% Discount from original list, average

The average is 1.8% for homes over $654K and 11.7% for homes under $422K. It does not move in a straight line; homes under $422K 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

2026-11-09T05:51:52.744359 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% 80% 40% 20% 40% 20% 0% 60% 40% 0% 40% 60% 60% Under $422K $422K–$550K $558K–$654K Over $654K

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

  • 40% of homes over $654K had a price cut before sale, against 80% of homes under $422K. Defined in 8.1.7.
  • 60% of homes over $654K had the seller pay closing costs or repairs, against 40% of homes under $422K. Defined in 8.1.8.
  • 60% of homes over $654K have a view, against 20% of homes under $422K. 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 $422K5 sales$422K–$550K5 sales$558K–$654K5 salesOver $654K5 salesAll20 salesReal difference?
Net sale price average$387,280$502,554$613,600$737,400$560,208by design
Net price per SF average$240$259$260$218$244unclear
Living area average1,6481,9442,3853,4532,357✓ large
Year built median19981999199820001999unclear

3.10 The numbers: selling

Under $422K5 sales$422K–$550K5 sales$558K–$654K5 salesOver $654K5 salesAll20 salesReal difference?
Days on market median10821251728unclear
Discount from original list average11.7%2.6%5.6%1.8%5.4%unclear
Price cut before sale80%40%60%40%55%unclear
Seller paid closing costs or repairs40%20%40%60%40%unclear
Has a view20%0%0%60%20%unclear

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

4. Quartiles by living areaResale homes · 20 sales · November 9, 2025 – November 8, 2026

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

2026-11-09T05:51:52.772854 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 4 6 5 20 sales Sales per group Under 1,921 SF: 5 sales (25%) 1,921–2,014 SF: 4 sales (20%) 2,074–2,692 SF: 6 sales (30%) Over 2,692 SF: 5 sales (25%)
Bottom line: too few sales to test.

4.1 Key differences

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

4.3 Net sale price: described, not tested

2026-11-09T05:51:52.803315 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,921 SF 5 sales 1,921– 2,014 SF 4 sales 2,074– 2,692 SF 6 sales Over 2,692 SF 5 sales $0K $250K $500K $750K $387K $507K $592K $737K Net sale price, average

The average is $737K for homes over 2,692 SF and $387K for homes under 1,921 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

Not tested: too few sales.

4.4 Net price per SF: described, not tested

2026-11-09T05:51:52.834165 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,921 SF 5 sales 1,921– 2,014 SF 4 sales 2,074– 2,692 SF 6 sales Over 2,692 SF 5 sales $0 $100 $200 $300 $252 $256 $252 $218 Net price per SF, average

The average is $218 per SF for homes over 2,692 SF and $252 per SF for homes under 1,921 SF. It does not move in a straight line; homes 1,921–2,014 SF are highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-11-09T05:51:52.867215 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,921 SF 5 sales 1,921– 2,014 SF 4 sales 2,074– 2,692 SF 6 sales Over 2,692 SF 5 sales 1998 1999 2000 1998 1999 1998 2000 Year built: median (dot) and middle half (bar)

The median is 2000 for homes over 2,692 SF and 1998 for homes under 1,921 SF. It does not move in a straight line; homes over 2,692 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-11-09T05:51:52.897244 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,921 SF 5 sales 1,921– 2,014 SF 4 sales 2,074– 2,692 SF 6 sales Over 2,692 SF 5 sales 0 20 40 60 44 62 23 17 Days on market, median

The median is 17 days for homes over 2,692 SF and 44 days for homes under 1,921 SF. It does not move in a straight line; homes 1,921–2,014 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-11-09T05:51:52.922358 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,921 SF 5 sales 1,921– 2,014 SF 4 sales 2,074– 2,692 SF 6 sales Over 2,692 SF 5 sales 0.0% 5.0% 10.0% 9.9% 4.4% 5.4% 1.8% Discount from original list, average

The average is 1.8% for homes over 2,692 SF and 9.9% for homes under 1,921 SF. It does not move in a straight line; homes under 1,921 SF are highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-11-09T05:51:52.950030 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% 80% 20% 0% 50% 75% 25% 50% 17% 0% 40% 60% 60% Under 1,921 SF 1,921–2,014 SF 2,074–2,692 SF Over 2,692 SF

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

  • 40% of homes over 2,692 SF had a price cut before sale, against 80% of homes under 1,921 SF. Defined in 8.1.7.
  • 60% of homes over 2,692 SF had the seller pay closing costs or repairs, against 20% of homes under 1,921 SF. Defined in 8.1.8.
  • 60% of homes over 2,692 SF have a view, against 0% of homes under 1,921 SF. 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.

4.9 The numbers: price and size

Under 1,921 SF5 sales1,921–2,014 SF4 sales2,074–2,692 SF6 salesOver 2,692 SF5 salesAll20 sales
Net sale price average$387,480$506,692$592,167$737,400$560,208
Net price per SF average$252$256$252$218$244
Living area average1,5611,9812,3593,4532,357
Year built median19981999199820001999

4.10 The numbers: selling

Under 1,921 SF5 sales1,921–2,014 SF4 sales2,074–2,692 SF6 salesOver 2,692 SF5 salesAll20 sales
Days on market median4462231728
Discount from original list average9.9%4.4%5.4%1.8%5.4%
Price cut before sale80%50%50%40%55%
Seller paid closing costs or repairs20%75%17%60%40%
Has a view0%25%0%60%20%

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 · 20 sales · November 9, 2025 – November 8, 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.

2026-11-09T05:51:52.973129 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 5 4 7 20 sales Sales per group Before 1998: 4 sales (20%) 1998: 5 sales (25%) 1999: 4 sales (20%) After 1999: 7 sales (35%)
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

2026-11-09T05:51:52.993992 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1998 4 sales 1998 5 sales 1999 4 sales After 1999 7 sales $0K $200K $400K $600K $599K $454K $491K $653K Net sale price, average

The average is $653K for homes built after 1999 and $599K for homes built before 1998. It does not move in a straight line; homes built after 1999 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-11-09T05:51:53.017756 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1998 4 sales 1998 5 sales 1999 4 sales After 1999 7 sales $0 $100 $200 $300 $227 $270 $259 $227 Net price per SF, average

The average is $227 per SF for homes built after 1999 and $227 per SF for homes built before 1998. It does not move in a straight line; homes built 1998 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-11-09T05:51:53.040706 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1998 4 sales 1998 5 sales 1999 4 sales After 1999 7 sales 0 1,000 2,000 3,000 2,630 1,679 1,900 2,948 Living area (SF), average

The average is 2,948 SF for homes built after 1999 and 2,630 SF for homes built before 1998. It does not move in a straight line; homes built after 1999 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-11-09T05:51:53.062901 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1998 4 sales 1998 5 sales 1999 4 sales After 1999 7 sales 0 20 40 60 19 44 50 63 Days on market, median

The median is 63 days for homes built after 1999 and 19 days for homes built before 1998. It rises step by step from the lowest range to the highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-11-09T05:51:53.088196 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1998 4 sales 1998 5 sales 1999 4 sales After 1999 7 sales 0.0% 2.5% 5.0% 7.5% 10.0% 1.3% 9.3% 4.8% 5.4% Discount from original list, average

The average is 5.4% for homes built after 1999 and 1.3% for homes built before 1998. It does not move in a straight line; homes built 1998 are 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

2026-11-09T05:51:53.115075 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% 25% 0% 80% 20% 0% 50% 50% 0% 57% 57% 57% Before 1998 1998 1999 After 1999

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

  • 57% of homes built after 1999 had a price cut before sale, against 25% of homes built before 1998. Defined in 8.1.7.
  • 57% of homes built after 1999 had the seller pay closing costs or repairs, against 25% of homes built before 1998. Defined in 8.1.8.
  • 57% of homes built after 1999 have a view, against 0% of homes built before 1998. 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 19984 sales19985 sales19994 salesAfter 19997 salesAll20 sales
Net sale price average$598,875$454,180$491,067$653,357$560,208
Net price per SF average$227$270$259$227$244
Living area average2,6301,6791,9002,9482,357
Year built median19961998199920001999

5.10 The numbers: selling

Before 19984 sales19985 sales19994 salesAfter 19997 salesAll20 sales
Days on market median1944506328
Discount from original list average1.3%9.3%4.8%5.4%5.4%
Price cut before sale25%80%50%57%55%
Seller paid closing costs or repairs25%20%50%57%40%
Has a view0%0%0%57%20%

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.3.

6. View and no viewResale homes · 20 sales · November 9, 2025 – November 8, 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.

2026-11-09T05:51:53.135171 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 15 19 sales Sales per group View: 4 sales (21%) No view: 15 sales (79%)
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

2026-11-09T05:51:53.154556 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 15 sales $0K $200K $400K $600K $658K $519K Net sale price, average

The average is $658K for homes with a view and $519K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-11-09T05:51:53.175339 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 15 sales $0 $100 $200 $300 $213 $254 Net price per SF, average

The average is $213 per SF for homes with a view and $254 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-11-09T05:51:53.195257 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 15 sales 0 1,000 2,000 3,000 3,156 2,064 Living area (SF), average

The average is 3,156 SF for homes with a view and 2,064 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-11-09T05:51:53.251035 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 15 sales 1998 1999 2000 2000 1998 Year built: median (dot) and middle half (bar)

The median is 2000 for homes with a view and 1998 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-11-09T05:51:53.271482 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 15 sales 0 20 40 60 80 80 25 Days on market, median

The median is 80 days for homes with a view and 25 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

2026-11-09T05:51:53.291780 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 15 sales 0.0% 2.0% 4.0% 6.0% 5.9% 5.5% Discount from original list, average

The average is 5.9% for homes with a view and 5.5% 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

2026-11-09T05:51:53.313504 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 75% 50% 53% 33% View No view

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

  • 75% of homes with a view had a price cut before sale, against 53% of homes without a view. Defined in 8.1.7.
  • 50% of homes with a view had the seller pay closing costs or repairs, against 33% 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 view15 salesAll19 sales
Net sale price average$657,500$519,078$548,219
Net price per SF average$213$254$245
Living area average3,1562,0642,294
Year built median200019981999

6.11 The numbers: selling

View4 salesNo view15 salesAll19 sales
Days on market median802530
Discount from original list average5.9%5.5%5.6%
Price cut before sale75%53%58%
Seller paid closing costs or repairs50%33%37%

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 9, 2025 – November 8, 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 Southland Oaks.

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

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

8. AppendixMeasures, methods and tests

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

8.1 Measures

8.1.1 Net sale price

In simple terms
What the seller actually kept: the closing price, less money the seller gave back to the buyer for closing costs or repairs. It is the truest price for comparing homes.
Statistically
Net = ClosePrice − ACTRIS_BuyersClsgCostPdbySell − ACTRIS_RepairsAmount (a blank counts as $0). Summarized by the arithmetic mean in the slices.
The data
20 resale sales. Average $560,208; median $553,750; standard deviation $140,559; middle half (25th–75th percentile) $421,750–$658,625; lowest $320,000, highest $788,000. 8 sales had a seller payment; their median payment was $8,850.

8.1.2 Net price per SF

In simple terms
Net sale price divided by the heated and cooled square feet. It puts homes of different sizes on the same footing: did buyers pay more for each square foot, not just for more square feet?
Statistically
psf = Net ÷ LivingArea, per sale; summarized by the mean of the per-sale ratios.
The data
20 resale sales. Average $244; median $244; standard deviation $35; middle half (25th–75th percentile) $219–$266; lowest $171, highest $316.

8.1.3 Living area

In simple terms
The heated and cooled space, as listed in the MLS. Garages and porches are not counted.
Statistically
RESO LivingArea, in square feet. Sales under 400 SF are treated as entry errors and left out.
The data
20 resale sales. Average 2,357; median 2,074; standard deviation 788; middle half (25th–75th percentile) 1,913–2,753; lowest 1,265, highest 4,494.

8.1.4 Year built

In simple terms
The year the home was finished, as listed in the MLS. It shows whether a group leans to older or newer phases of the community.
Statistically
RESO YearBuilt; summarized by the median, with the 25th–75th percentile (middle half) on the charts.
The data
20 resale sales. Average 1999; median 1999; standard deviation 2; middle half (25th–75th percentile) 1998–2000; lowest 1995, highest 2001.

8.1.5 Days on market

In simple terms
How many days the home was on the market before the buyer's offer was accepted, counting any earlier listing periods (relists). This is the days on market agents and clients quote.
Statistically
CDOM = max(CumulativeDaysOnMarket, DaysOnMarket, PurchaseContractDate − ListingContractDate). The MLS counter can freeze at a price change, so the contract-date gap is a floor. Summarized by the median, because a few homes that sat for months pull an average up.
The data
20 resale sales. Average 68; median 28; standard deviation 85; middle half (25th–75th percentile) 14–100; lowest 2, highest 344. 0 sales went under contract on their listing date (0 days).

8.1.6 Discount from original list

In simple terms
How far below the first asking price the home sold, after seller payments. It measures how much negotiating room sellers gave up. A negative figure means the home sold above its first asking price.
Statistically
Discount % = (OriginalListPrice − Net) ÷ OriginalListPrice × 100, per sale; summarized by the mean.
The data
20 resale sales. Average 5.4%; median 3.0%; standard deviation 7.8%; middle half (25th–75th percentile) 0.6%–6.9%; lowest −4.5%, highest 28.9%. 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
11 of 20 resale sales (55.0%).

8.1.8 Seller paid closing costs or repairs

In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
8 of 20 resale sales (40.0%).

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
4 sales with a view, 15 without, 1 unclassified. Most common View entries: None 10, Neighborhood 5, Trees/Woods 3, Garden 1, Park/Greenbelt 1.

8.2 Methods

8.2.1 Data source

In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
ABOR MLS via secure APIs, read from ALEX's copy of the MLS (refreshed every 15 minutes; this pull as of 2026-11-09 11:45 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Austin, SubdivisionName contains any of “southland oaks” (case-insensitive). A record is kept when its subdivision name belongs to the Southland Oaks family, the same rule comparable sales use.
The data
Pulled November 9, 2026: 20 closed Southland Oaks records over the prior year, in ZIP 78748, 78739. 9 subdivision spellings kept: Southland Oaks Sec 04 Ph B (4); Southland Oaks Sec 03-C (4); Southland Oaks Sec 05 (3); Southland Oaks Sec 04 Ph A (3); Southland Oaks Sec 03-B (2); Southland Oaks Sec 04 Ph E (1); Southland Oaks Sec 02 (1); Southland Oaks Sec 03-A (1); SOUTHLAND OAKS SEC 5 (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 11 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from November 9, 2025 to November 8, 2026 inclusive.
The data
20 single-family sales in the window: 20 resale, 0 new construction.

8.2.3 Resale and new construction

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

8.2.4 Sales left out

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

8.2.5 Quartiles and groups

In simple terms
Sales lined up from lowest to highest and cut into four groups of about equal size. Each group is named by its range, for example “Under $422K”.
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 $422K: $320,000–$421,000 (5 sales); $422K–$550K: $422,000–$550,000 (5 sales); $558K–$654K: $557,500–$653,500 (5 sales); Over $654K: $674,000–$788,000 (5 sales)
Quartiles by living area: Under 1,921 SF: 1,265–1,890 SF (5 sales); 1,921–2,014 SF: 1,921–2,014 SF (4 sales); 2,074–2,692 SF: 2,074–2,692 SF (6 sales); Over 2,692 SF: 2,937–4,494 SF (5 sales)
Quartiles by year built: Before 1998: 1995–1997 (4 sales); 1998: 1998–1998 (5 sales); 1999: 1999–1999 (4 sales); After 1999: 2000–2001 (7 sales)
View and no view: View: MLS lists a view (4 sales); No view: None or Neighborhood (15 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 $560,208, median $553,750. Days on market: average 68, median 28: 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

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 = 5.5830.1338p < 0.0063Unclearε² = 0.294large
Living areaKruskal–WallisH = 15.4330.0015p < 0.0063Yesε² = 0.812large
Year builtKruskal–WallisH = 2.1530.5413p < 0.0063Unclearε² = 0.113medium
Days on marketKruskal–WallisH = 2.5330.4705p < 0.0063Unclearε² = 0.133medium
Discount from original listKruskal–WallisH = 3.3730.3379p < 0.0063Unclearε² = 0.177large
Price cut before saleChi-squareχ² = 2.2230.5276p < 0.0063UnclearCramér’s V = 0.333medium
Seller paid closing costs or repairsChi-squareχ² = 1.6730.6444p < 0.0063UnclearCramér’s V = 0.289small
Has a viewChi-squareχ² = 7.5030.0576p < 0.0063UnclearCramér’s V = 0.612large

8.3.2 Quartiles by living area

Too few sales in a group to test.

8.3.3 Quartiles 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 20 closed MLS resale sales; the 0 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled November 9, 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.