ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Balcones Woods

Austin, TX 78759
Resale homes · closed Oct 26 – Oct 25, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
October 26, 2026 · 4:09 AM CDT
MARKET STUDY All analysis covers resale homes only. New construction appears once, in its own section. Click any dot on the map for that sale.
Resale sales, 365 days
21
single-family resale homes
Median net sale price
$640,000
average $684,807
Median net price per SF
$358
average $354
Median days on market
24 days
average 44 days
1. SummaryResale homes · 21 sales · October 26, 2025 – October 25, 2026

This study looks at the 21 resale homes sold in Balcones Woods in the 365 days to October 25, 2026. A full year is used because only 9 resale homes sold in the last 180 days. New construction is left out and shown on its own in section 7. The homes are compared four ways: by price, by living area, by year built and with or without a view. The first three are split into four equal groups (quartiles), each named by its range.

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

2. Where the resale homes sold21 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 $593K · 5 sales$593K–$636K · 5 sales$640K–$742K · 6 salesOver $742K · 5 sales
3. Quartiles by net sale priceResale homes · 21 sales · October 26, 2025 – October 25, 2026

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

2026-10-26T04:09:41.144534 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 6 5 21 sales Sales per group Under $593K: 5 sales (24%) $593K–$636K: 5 sales (24%) $640K–$742K: 6 sales (29%) Over $742K: 5 sales (24%)
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 $593K$593K–$636K$640K–$742KOver $742KReal difference?
Net price per SF$278 per SF$370 per SF$361 per SF$404 per SFunclear
Living area1,971 SF1,666 SF1,965 SF2,175 SFunclear
Year built1975197619761979unclear
Days on market37 days24 days27 days5 daysunclear
Discount from original list11.5%6.0%3.1%1.2%unclear
Price cut before sale40%40%33%20%unclear
Seller paid closing costs or repairs40%80%33%40%unclear
Has a view60%20%0%20%unclear

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

3.3 Net price per SF: no clear difference

2026-10-26T04:09:41.173561 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $593K 5 sales $593K– $636K 5 sales $640K– $742K 6 sales Over $742K 5 sales $0 $200 $400 $278 $370 $361 $404 Net price per SF, average

The average is $404 per SF for homes over $742K and $278 per SF for homes under $593K. It does not move in a straight line; homes over $742K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Living area: no clear difference

2026-10-26T04:09:41.198145 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $593K 5 sales $593K– $636K 5 sales $640K– $742K 6 sales Over $742K 5 sales 0 1,000 2,000 1,971 1,666 1,965 2,175 Living area (SF), average

The average is 2,175 SF for homes over $742K and 1,971 SF for homes under $593K. It does not move in a straight line; homes over $742K are highest. Defined in 8.1.3.

– No clear difference · could be chance

3.5 Year built: no clear difference

2026-10-26T04:09:41.221550 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $593K 5 sales $593K– $636K 5 sales $640K– $742K 6 sales Over $742K 5 sales 1974 1976 1978 1980 1975 1976 1976 1979 Year built: median (dot) and middle half (bar)

The median is 1979 for homes over $742K and 1975 for homes under $593K. 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

2026-10-26T04:09:41.244177 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $593K 5 sales $593K– $636K 5 sales $640K– $742K 6 sales Over $742K 5 sales 0 20 40 37 24 27 5 Days on market, median

The median is 5 days for homes over $742K and 37 days for homes under $593K. It does not move in a straight line; homes under $593K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-26T04:09:41.269171 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $593K 5 sales $593K– $636K 5 sales $640K– $742K 6 sales Over $742K 5 sales 0.0% 5.0% 10.0% 11.5% 6.0% 3.1% 1.2% Discount from original list, average

The average is 1.2% for homes over $742K and 11.5% for homes under $593K. It falls step by step from the lowest range to the highest. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-10-26T04:09:41.298167 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 40 60 40 80 20 33 33 0 20 40 20 Under $593K $593K–$636K $640K–$742K Over $742K

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

  • 20% of homes over $742K had a price cut before sale, against 40% of homes under $593K. Defined in 8.1.7.
  • 40% of homes over $742K had the seller pay closing costs or repairs, against 40% of homes under $593K. Defined in 8.1.8.
  • 20% of homes over $742K have a view, against 60% of homes under $593K. 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 $593K5 sales$593K–$636K5 sales$640K–$742K6 salesOver $742K5 salesAll21 salesReal difference?
Net sale price average$539,900$614,800$702,833$878,091$684,807by design
Net price per SF average$278$370$361$404$354unclear
Living area average1,9711,6661,9652,1751,945unclear
Year built median19751976197619791976unclear

3.10 The numbers: selling

Under $593K5 sales$593K–$636K5 sales$640K–$742K6 salesOver $742K5 salesAll21 salesReal difference?
Days on market median372427524unclear
Discount from original list average11.5%6.0%3.1%1.2%5.3%unclear
Price cut before sale40%40%33%20%33%unclear
Seller paid closing costs or repairs40%80%33%40%48%unclear
Has a view60%20%0%20%24%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 · 21 sales · October 26, 2025 – October 25, 2026

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

2026-10-26T04:09:41.317944 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 6 5 21 sales Sales per group Under 1,742 SF: 5 sales (24%) 1,742–1,987 SF: 5 sales (24%) 2,051–2,128 SF: 6 sales (29%) Over 2,128 SF: 5 sales (24%)
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 1,742 SF1,742–1,987 SF2,051–2,128 SFOver 2,128 SFReal difference?
Net sale price$604K$664K$672K$803Kunclear
Net price per SF$371 per SF$365 per SF$321 per SF$364 per SFunclear
Year built1976197619761979unclear
Days on market7 days90 days4 days37 daysunclear
Discount from original list4.9%7.0%6.4%2.8%unclear
Price cut before sale20%60%17%40%unclear
Seller paid closing costs or repairs80%40%50%20%unclear
Has a view20%0%33%40%unclear

4.3 Net sale price: no clear difference

2026-10-26T04:09:41.341743 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,742 SF 5 sales 1,742– 1,987 SF 5 sales 2,051– 2,128 SF 6 sales Over 2,128 SF 5 sales $0K $250K $500K $750K $604K $664K $672K $803K Net sale price, average

The average is $803K for homes over 2,128 SF and $604K for homes under 1,742 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

2026-10-26T04:09:41.364234 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,742 SF 5 sales 1,742– 1,987 SF 5 sales 2,051– 2,128 SF 6 sales Over 2,128 SF 5 sales $0 $200 $400 $371 $365 $321 $364 Net price per SF, average

The average is $364 per SF for homes over 2,128 SF and $371 per SF for homes under 1,742 SF. It does not move in a straight line; homes under 1,742 SF are highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-10-26T04:09:41.387506 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,742 SF 5 sales 1,742– 1,987 SF 5 sales 2,051– 2,128 SF 6 sales Over 2,128 SF 5 sales 1974 1976 1978 1980 1976 1976 1976 1979 Year built: median (dot) and middle half (bar)

The median is 1979 for homes over 2,128 SF and 1976 for homes under 1,742 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

2026-10-26T04:09:41.411469 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,742 SF 5 sales 1,742– 1,987 SF 5 sales 2,051– 2,128 SF 6 sales Over 2,128 SF 5 sales 0 50 100 7 90 4 37 Days on market, median

The median is 37 days for homes over 2,128 SF and 7 days for homes under 1,742 SF. It does not move in a straight line; homes 1,742–1,987 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-26T04:09:41.433279 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,742 SF 5 sales 1,742– 1,987 SF 5 sales 2,051– 2,128 SF 6 sales Over 2,128 SF 5 sales 0.0% 2.5% 5.0% 7.5% 4.9% 7.0% 6.4% 2.8% Discount from original list, average

The average is 2.8% for homes over 2,128 SF and 4.9% for homes under 1,742 SF. It does not move in a straight line; homes 1,742–1,987 SF are highest. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-10-26T04:09:41.459430 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% 20 80 20 60 40 0 17 50 33 40 20 40 Under 1,742 SF 1,742–1,987 SF 2,051–2,128 SF Over 2,128 SF

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

  • 40% of homes over 2,128 SF had a price cut before sale, against 20% of homes under 1,742 SF. Defined in 8.1.7.
  • 20% of homes over 2,128 SF had the seller pay closing costs or repairs, against 80% of homes under 1,742 SF. Defined in 8.1.8.
  • 40% of homes over 2,128 SF have a view, against 20% of homes under 1,742 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 1,742 SF5 sales1,742–1,987 SF5 sales2,051–2,128 SF6 salesOver 2,128 SF5 salesAll21 salesReal difference?
Net sale price average$604,200$663,500$671,650$802,511$684,807unclear
Net price per SF average$371$365$321$364$354unclear
Living area average1,6331,8212,0912,2071,945by design
Year built median19761976197619791976unclear

4.10 The numbers: selling

Under 1,742 SF5 sales1,742–1,987 SF5 sales2,051–2,128 SF6 salesOver 2,128 SF5 salesAll21 salesReal difference?
Days on market median79043724unclear
Discount from original list average4.9%7.0%6.4%2.8%5.3%unclear
Price cut before sale20%60%17%40%33%unclear
Seller paid closing costs or repairs80%40%50%20%48%unclear
Has a view20%0%33%40%24%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 · 21 sales · October 26, 2025 – October 25, 2026

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

2026-10-26T04:09:41.480855 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 7 5 5 21 sales Sales per group Before 1975: 4 sales (19%) 1975–1976: 7 sales (33%) 1977–1978: 5 sales (24%) After 1978: 5 sales (24%)
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

2026-10-26T04:09:41.502657 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1975 4 sales 1975– 1976 7 sales 1977– 1978 5 sales After 1978 5 sales $0K $500K $1.00M $635K $596K $671K $862K Net sale price, average

The average is $862K for homes built after 1978 and $635K for homes built before 1975. It does not move in a straight line; homes built after 1978 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T04:09:41.524271 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1975 4 sales 1975– 1976 7 sales 1977– 1978 5 sales After 1978 5 sales $0 $200 $400 $345 $326 $351 $401 Net price per SF, average

The average is $401 per SF for homes built after 1978 and $345 per SF for homes built before 1975. It does not move in a straight line; homes built after 1978 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T04:09:41.546749 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1975 4 sales 1975– 1976 7 sales 1977– 1978 5 sales After 1978 5 sales 0 1,000 2,000 1,873 1,856 1,925 2,148 Living area (SF), average

The average is 2,148 SF for homes built after 1978 and 1,873 SF for homes built before 1975. It does not move in a straight line; homes built after 1978 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T04:09:41.571173 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1975 4 sales 1975– 1976 7 sales 1977– 1978 5 sales After 1978 5 sales 0 50 100 22 90 2 27 Days on market, median

The median is 27 days for homes built after 1978 and 22 days for homes built before 1975. It does not move in a straight line; homes built 1975–1976 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T04:09:41.593750 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1975 4 sales 1975– 1976 7 sales 1977– 1978 5 sales After 1978 5 sales 0.0% 5.0% 10.0% 12.0% 5.4% 3.3% 1.9% Discount from original list, average

The average is 1.9% for homes built after 1978 and 12.0% for homes built before 1975. 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

2026-10-26T04:09:41.621435 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% 50 25 50 43 43 29 20 60 0 20 60 20 Before 1975 1975–1976 1977–1978 After 1978

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

  • 20% of homes built after 1978 had a price cut before sale, against 50% of homes built before 1975. Defined in 8.1.7.
  • 60% of homes built after 1978 had the seller pay closing costs or repairs, against 25% of homes built before 1975. Defined in 8.1.8.
  • 20% of homes built after 1978 have a view, against 50% of homes built before 1975. 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 19754 sales1975–19767 sales1977–19785 salesAfter 19785 salesAll21 sales
Net sale price average$635,125$596,429$671,100$861,991$684,807
Net price per SF average$345$326$351$401$354
Living area average1,8731,8561,9252,1481,945
Year built median19721976197719801976

5.10 The numbers: selling

Before 19754 sales1975–19767 sales1977–19785 salesAfter 19785 salesAll21 sales
Days on market median229022724
Discount from original list average12.0%5.4%3.3%1.9%5.3%
Price cut before sale50%43%20%20%33%
Seller paid closing costs or repairs25%43%60%60%48%
Has a view50%29%0%20%24%

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 · 21 sales · October 26, 2025 – October 25, 2026

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

2026-10-26T04:09:41.641935 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 16 21 sales Sales per group View: 5 sales (24%) No view: 16 sales (76%)
Bottom line: no measure differs enough between the groups to rule out chance.

6.1 Key differences

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

6.2 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.

ViewNo viewReal difference?
Net sale price$684K$685Kunclear
Net price per SF$336 per SF$359 per SFunclear
Living area2,041 SF1,915 SFunclear
Year built19751977unclear
Days on market24 days23 daysunclear
Discount from original list10.1%3.8%unclear
Price cut before sale40%31%unclear
Seller paid closing costs or repairs40%50%unclear

6.3 Net sale price: no clear difference

2026-10-26T04:09:41.658309 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 16 sales $0K $200K $400K $600K $800K $684K $685K Net sale price, average

The average is $684K for homes with a view and $685K for homes without a view. Defined in 8.1.1.

– No clear difference · could be chance

6.4 Net price per SF: no clear difference

2026-10-26T04:09:41.677071 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 16 sales $0 $100 $200 $300 $400 $336 $359 Net price per SF, average

The average is $336 per SF for homes with a view and $359 per SF for homes without a view. Defined in 8.1.2.

– No clear difference · could be chance

6.5 Living area: no clear difference

2026-10-26T04:09:41.727448 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 16 sales 0 500 1,000 1,500 2,000 2,041 1,915 Living area (SF), average

The average is 2,041 SF for homes with a view and 1,915 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-26T04:09:41.745603 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 16 sales 1974 1976 1978 1975 1977 Year built: median (dot) and middle half (bar)

The median is 1975 for homes with a view and 1977 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-26T04:09:41.762583 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 16 sales 0 10 20 24 23 Days on market, median

The median is 24 days for homes with a view and 23 days for homes without a view. Defined in 8.1.5.

– No clear difference · could be chance

6.8 Discount from original list: no clear difference

2026-10-26T04:09:41.780682 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 16 sales 0.0% 2.5% 5.0% 7.5% 10.0% 10.1% 3.8% Discount from original list, average

The average is 10.1% for homes with a view and 3.8% for homes without a view. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-10-26T04:09:41.799165 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 40 40 31 50 View No view

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

  • 40% of homes with a view had a price cut before sale, against 31% of homes without a view. Defined in 8.1.7.
  • 40% of homes with a view had the seller pay closing costs or repairs, against 50% of homes without a view. Defined in 8.1.8.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance

6.10 The numbers: price and size

View5 salesNo view16 salesAll21 salesReal difference?
Net sale price average$683,800$685,122$684,807unclear
Net price per SF average$336$359$354unclear
Living area average2,0411,9151,945unclear
Year built median197519771976unclear

6.11 The numbers: selling

View5 salesNo view16 salesAll21 salesReal difference?
Days on market median242324unclear
Discount from original list average10.1%3.8%5.3%unclear
Price cut before sale40%31%33%unclear
Seller paid closing costs or repairs40%50%48%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 8.3.4.

7. New constructionBasic statistics · 0 sales · October 26, 2025 – October 25, 2026

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

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

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
21 resale sales. Average $684,807; median $640,000; standard deviation $155,561; middle half (25th–75th percentile) $593,400–$741,500; lowest $452,500, highest $1,220,000. 10 sales had a seller payment; their median payment was $7,500.

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
21 resale sales. Average $354; median $358; standard deviation $69; middle half (25th–75th percentile) $335–$390; lowest $219, highest $557.

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
21 resale sales. Average 1,945; median 2,051; standard deviation 236; middle half (25th–75th percentile) 1,742–2,128; lowest 1,580, highest 2,268.

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
21 resale sales. Average 1976; median 1976; standard deviation 3; middle half (25th–75th percentile) 1975–1978; lowest 1971, highest 1981.

8.1.5 Days on market

In simple terms
How many days the home was on the market before the buyer's offer was accepted, counting any earlier listing periods (relists). This is the days on market agents and clients quote.
Statistically
CDOM = max(CumulativeDaysOnMarket, DaysOnMarket, PurchaseContractDate − ListingContractDate). The MLS counter can freeze at a price change, so the contract-date gap is a floor. Summarized by the median, because a few homes that sat for months pull an average up.
The data
21 resale sales. Average 44; median 24; standard deviation 56; middle half (25th–75th percentile) 4–58; lowest 0, highest 204. 2 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
21 resale sales. Average 5.3%; median 2.4%; standard deviation 8.4%; middle half (25th–75th percentile) 1.1%–6.7%; lowest −1.9%, highest 36.7%. 2 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 21 resale sales (33.3%).

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
10 of 21 resale sales (47.6%).

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
5 sales with a view, 16 without, 0 unclassified. Most common View entries: None 14, Park/Greenbelt 2, Neighborhood 2, City 1, Garden 1, Creek/Stream 1, See Remarks 1, Lake 1.

8.2 Methods

8.2.1 Data source

In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
Bridge Interactive RESO Web API (OData), ABOR dataset, every field returned. Filter: StandardStatus = Closed, PropertyType = Residential, City = Austin, SubdivisionName contains any of “balcones woods” (case-insensitive). A record is kept when its subdivision name belongs to the Balcones Woods family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 21 closed Balcones Woods records over the prior year, in ZIP 78759. 10 subdivision spellings kept: Balcones Woods Sec 01 (4); Balcones Woods Sec 03A (4); Balcones Woods Sec 02 (3); Balcones Woods Sec 06-A (2); Balcones Woods Sec 03b (2); Balcones Woods Sec 04 (2); Balcones Woods (1); Balcones Woods Sec 03B (1); Balcones Woods Sec 03a (1); Balcones Woods Sec 05 (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 9 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
21 single-family sales in the window: 21 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
21 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 $593K”.
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 $593K: $452,500–$585,000 (5 sales); $593K–$636K: $593,400–$636,500 (5 sales); $640K–$742K: $640,000–$741,500 (6 sales); Over $742K: $777,000–$1,220,000 (5 sales)
Quartiles by living area: Under 1,742 SF: 1,580–1,712 SF (5 sales); 1,742–1,987 SF: 1,742–1,987 SF (5 sales); 2,051–2,128 SF: 2,051–2,128 SF (6 sales); Over 2,128 SF: 2,154–2,268 SF (5 sales)
Quartiles by year built: Before 1975: 1971–1973 (4 sales); 1975–1976: 1975–1976 (7 sales); 1977–1978: 1977–1978 (5 sales); After 1978: 1979–1981 (5 sales)
View and no view: View: MLS lists a view (5 sales); No view: None or Neighborhood (16 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 $684,807, median $640,000. Days on market: average 44, median 24: the average is pulled up by a few long listings.

8.2.7 Kruskal–Wallis test

In simple terms
Checks whether a measure really differs across the four groups of a slice. It uses each sale's rank, not its value, so a few extreme sales cannot drive the answer.
Statistically
H = [12/(n(n+1))] Σ Rⱼ²/nⱼ − 3(n+1), compared with χ² on k − 1 degrees of freedom (Kruskal & Wallis, 1952). Effect size ε² = H/(n − 1): ≥ .01 small, ≥ .06 medium, ≥ .14 large (Tomczak & Tomczak, 2014). A slice is tested only when every group has at least 5 sales; smaller groups are described, not tested.
The data
Run on every measure in sections 3–5; each result is in 8.3.

8.2.8 Mann–Whitney U test

In simple terms
The same check when there are only two groups: view against no view.
Statistically
Two-sided U test (Mann & Whitney, 1947). Effect size = rank-biserial correlation |1 − 2U/(n₁n₂)|: ≥ .10 small, ≥ .30 medium, ≥ .50 large (Kerby, 2014; Cohen, 1988).
The data
Run on every measure in section 6; results in 8.3.

8.2.9 Chi-square test

In simple terms
Checks whether a yes/no share (price cut, seller payment, view) differs between groups more than chance would.
Statistically
Pearson χ² on the 2 × k table of counts, no continuity correction (Pearson, 1900). Effect size Cramér's V = √(χ²/n): ≥ .10 small, ≥ .30 medium, ≥ .50 large (Cramér, 1946).
The data
Run on the three shares in every slice; results in 8.3.

8.2.10 Real difference (significance)

In simple terms
“Real difference” means a gap this large would be very unlikely if the groups were really alike. Because many measures are checked in each slice, the bar is set higher than usual.
Statistically
Significant when p < 0.05 ÷ m, where m is the number of measures tested in that slice (Bonferroni; Dunn, 1961). The slicing variable itself differs by design and is not tested.
The data
Quartiles by net sale price: m = 8, threshold p < 0.0063; Quartiles by living area: m = 8, threshold p < 0.0063; View and no view: 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 = 9.1430.0275p < 0.0063Unclearε² = 0.457large
Living areaKruskal–WallisH = 11.9230.0077p < 0.0063Unclearε² = 0.596large
Year builtKruskal–WallisH = 8.7830.0324p < 0.0063Unclearε² = 0.439large
Days on marketKruskal–WallisH = 2.6830.4440p < 0.0063Unclearε² = 0.134medium
Discount from original listKruskal–WallisH = 4.8530.1832p < 0.0063Unclearε² = 0.242large
Price cut before saleChi-squareχ² = 0.6030.8964p < 0.0063UnclearCramér’s V = 0.169small
Seller paid closing costs or repairsChi-squareχ² = 2.8330.4193p < 0.0063UnclearCramér’s V = 0.367medium
Has a viewChi-squareχ² = 5.5730.1348p < 0.0063UnclearCramér’s V = 0.515large

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 3.7130.2947p < 0.0063Unclearε² = 0.185large
Net price per SFKruskal–WallisH = 2.0430.5649p < 0.0063Unclearε² = 0.102medium
Year builtKruskal–WallisH = 5.0730.1669p < 0.0063Unclearε² = 0.253large
Days on marketKruskal–WallisH = 4.2530.2359p < 0.0063Unclearε² = 0.212large
Discount from original listKruskal–WallisH = 3.9230.2707p < 0.0063Unclearε² = 0.196large
Price cut before saleChi-squareχ² = 2.8530.4153p < 0.0063UnclearCramér’s V = 0.368medium
Seller paid closing costs or repairsChi-squareχ² = 3.7630.2885p < 0.0063UnclearCramér’s V = 0.423medium
Has a viewChi-squareχ² = 2.6230.4531p < 0.0063UnclearCramér’s V = 0.354medium

8.3.3 Quartiles by year built

Too few sales in a group to test.

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 24.00—0.2080p < 0.0063Unclearrank-biserial r = 0.400medium
Net price per SFMann–Whitney UU = 30.00—0.4451p < 0.0063Unclearrank-biserial r = 0.250small
Living areaMann–Whitney UU = 54.00—0.2748p < 0.0063Unclearrank-biserial r = 0.350medium
Year builtMann–Whitney UU = 26.50—0.2796p < 0.0063Unclearrank-biserial r = 0.338medium
Days on marketMann–Whitney UU = 43.50—0.8042p < 0.0063Unclearrank-biserial r = 0.087negligible
Discount from original listMann–Whitney UU = 50.00—0.4451p < 0.0063Unclearrank-biserial r = 0.250small
Price cut before saleChi-squareχ² = 0.1310.7171p < 0.0063UnclearCramér’s V = 0.079negligible
Seller paid closing costs or repairsChi-squareχ² = 0.1510.6959p < 0.0063UnclearCramér’s V = 0.085negligible

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 21 closed MLS resale sales; the 0 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled October 26, 2026. Map data © OpenStreetMap contributors. ALEX Companies · Licensed by the Texas Real Estate Commission · Broker: Alexander Tiffany Southwest, LLC (ALEX Real Estate), #565194-BB · Diane Hart Alexander, Designated Broker, #574877-B.