ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Circle C Ranch

Austin, TX 78739 · 78749
Resale homes · closed Oct 30 – Oct 29, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
October 30, 2026 · 6:54 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
122
single-family resale homes
Median net sale price
$750,500
average $776,381
Median net price per SF
$295
average $295
Median days on market
18 days
average 38 days
1. SummaryResale homes · 122 sales · October 30, 2025 – October 29, 2026

This study looks at the 122 resale homes sold in Circle C Ranch in the 365 days to October 29, 2026. A full year is used because only 62 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 sold122 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 $644K · 30 sales$644K–$750K · 31 sales$752K–$861K · 31 salesOver $861K · 30 sales
3. Quartiles by net sale priceResale homes · 122 sales · October 30, 2025 – October 29, 2026

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

2026-10-30T06:54:36.947495 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 30 31 31 30 122 sales Sales per group Under $644K: 30 sales (25%) $644K–$750K: 31 sales (25%) $752K–$861K: 31 sales (25%) Over $861K: 30 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 $644K$644K–$750K$752K–$861KOver $861K
Higher-priced homes Over $861K
  • Are much larger.
  • Sell for more per square foot.
Lower-priced homes Under $644K
  • Are much smaller.
  • Sell for less per square foot.

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 $644K$644K–$750K$752K–$861KOver $861KReal difference?
Net price per SF$300 per SF$283 per SF$283 per SFLowest$313 per SFHighest✓ medium
Living area1,949 SFSmallest2,520 SF2,901 SF3,275 SFLargest✓ large
Year built1995199719961998unclear
Days on market28 days18 days18 days12 daysunclear
Discount from original list5.0%4.6%2.6%2.4%unclear
Price cut before sale53%42%23%17%unclear
Seller paid closing costs or repairs60%58%65%60%unclear
Has a view27%19%23%40%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 Homes over $861K sell for about $13 per SF (4%) more than homes under $644K

2026-10-30T06:54:36.975900 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $644K 30 sales $644K– $750K 31 sales $752K– $861K 31 sales Over $861K 30 sales $0 $100 $200 $300 $300 $283 $283 $313 Net price per SF, average

The average is $313 per SF for homes over $861K and $300 per SF for homes under $644K. It does not move in a straight line; homes over $861K are highest. Defined in 8.1.2.

✓ Real difference · medium

3.4 Homes over $861K are about 1,330 SF (68%) larger than homes under $644K

2026-10-30T06:54:36.998743 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $644K 30 sales $644K– $750K 31 sales $752K– $861K 31 sales Over $861K 30 sales 0 1,000 2,000 3,000 1,949 2,520 2,901 3,275 Living area (SF), average

The average is 3,275 SF for homes over $861K and 1,949 SF for homes under $644K. 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

2026-10-30T06:54:37.023120 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $644K 30 sales $644K– $750K 31 sales $752K– $861K 31 sales Over $861K 30 sales 1992 1996 2000 2004 1995 1997 1996 1998 Year built: median (dot) and middle half (bar)

The median is 1998 for homes over $861K and 1995 for homes under $644K. It does not move in a straight line; homes over $861K are highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-10-30T06:54:37.046003 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $644K 30 sales $644K– $750K 31 sales $752K– $861K 31 sales Over $861K 30 sales 0 10 20 30 28 18 18 12 Days on market, median

The median is 12 days for homes over $861K and 28 days for homes under $644K. It falls step by step from the lowest range to the highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-30T06:54:37.068687 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $644K 30 sales $644K– $750K 31 sales $752K– $861K 31 sales Over $861K 30 sales 0.0% 2.0% 4.0% 5.0% 4.6% 2.6% 2.4% Discount from original list, average

The average is 2.4% for homes over $861K and 5.0% for homes under $644K. 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

2026-10-30T06:54:37.098685 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% 53 60 27 42 58 19 23 65 23 17 60 40 Under $644K $644K–$750K $752K–$861K Over $861K

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

  • 17% of homes over $861K had a price cut before sale, against 53% of homes under $644K. Defined in 8.1.7.
  • 60% of homes over $861K had the seller pay closing costs or repairs, against 60% of homes under $644K. Defined in 8.1.8.
  • 40% of homes over $861K have a view, against 27% of homes under $644K. 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 $644K30 sales$644K–$750K31 sales$752K–$861K31 salesOver $861K30 salesAll122 salesReal difference?
Net sale price average$578,655$699,896$808,399$1,020,057$776,381by design
Net price per SF average$300$283$283$313$295✓ medium
Living area average1,9492,5202,9013,2752,662✓ large
Year built median19951997199619981997unclear

3.10 The numbers: selling

Under $644K30 sales$644K–$750K31 sales$752K–$861K31 salesOver $861K30 salesAll122 salesReal difference?
Days on market median2818181218unclear
Discount from original list average5.0%4.6%2.6%2.4%3.7%unclear
Price cut before sale53%42%23%17%34%unclear
Seller paid closing costs or repairs60%58%65%60%61%unclear
Has a view27%19%23%40%27%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 · 122 sales · October 30, 2025 – October 29, 2026

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

2026-10-30T06:54:37.120035 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 30 31 31 30 122 sales Sales per group Under 2,177 SF: 30 sales (25%) 2,177–2,644 SF: 31 sales (25%) 2,650–3,099 SF: 31 sales (25%) Over 3,099 SF: 30 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 2,177 SF2,177–2,644 SF2,650–3,099 SFOver 3,099 SF
Larger homes Over 3,099 SF
  • Sell for much more.
  • Sell for less per square foot.
Smaller homes Under 2,177 SF
  • Sell for much less.
  • 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 2,177 SF2,177–2,644 SF2,650–3,099 SFOver 3,099 SFReal difference?
Net sale price$592KLowest$711K$824K$979KHighest✓ large
Net price per SF$316 per SFHighest$291 per SF$284 per SFLowest$287 per SF✓ medium
Year built1994199619971998unclear
Days on market22 days15 days19 days17 daysunclear
Discount from original list4.0%3.6%3.9%3.1%unclear
Price cut before sale50%32%32%20%unclear
Seller paid closing costs or repairs53%65%58%67%unclear
Has a view23%26%29%30%unclear

4.3 Homes over 3,099 SF sell for about $387K (65%) more than homes under 2,177 SF

2026-10-30T06:54:37.141350 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,177 SF 30 sales 2,177– 2,644 SF 31 sales 2,650– 3,099 SF 31 sales Over 3,099 SF 30 sales $0K $500K $1.00M $592K $711K $824K $979K Net sale price, average

The average is $979K for homes over 3,099 SF and $592K for homes under 2,177 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

✓ Real difference · large

4.4 Homes over 3,099 SF sell for about $29 per SF (9%) less than homes under 2,177 SF

2026-10-30T06:54:37.164267 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,177 SF 30 sales 2,177– 2,644 SF 31 sales 2,650– 3,099 SF 31 sales Over 3,099 SF 30 sales $0 $100 $200 $300 $316 $291 $284 $287 Net price per SF, average

The average is $287 per SF for homes over 3,099 SF and $316 per SF for homes under 2,177 SF. It does not move in a straight line; homes under 2,177 SF are highest. Defined in 8.1.2.

✓ Real difference · medium

4.5 Year built: no clear difference

2026-10-30T06:54:37.188506 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,177 SF 30 sales 2,177– 2,644 SF 31 sales 2,650– 3,099 SF 31 sales Over 3,099 SF 30 sales 1992 1996 2000 2004 1994 1996 1997 1998 Year built: median (dot) and middle half (bar)

The median is 1998 for homes over 3,099 SF and 1994 for homes under 2,177 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

2026-10-30T06:54:37.211947 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,177 SF 30 sales 2,177– 2,644 SF 31 sales 2,650– 3,099 SF 31 sales Over 3,099 SF 30 sales 0 10 20 22 15 19 17 Days on market, median

The median is 17 days for homes over 3,099 SF and 22 days for homes under 2,177 SF. It does not move in a straight line; homes under 2,177 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-30T06:54:37.234097 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,177 SF 30 sales 2,177– 2,644 SF 31 sales 2,650– 3,099 SF 31 sales Over 3,099 SF 30 sales 0.0% 2.0% 4.0% 4.0% 3.6% 3.9% 3.1% Discount from original list, average

The average is 3.1% for homes over 3,099 SF and 4.0% for homes under 2,177 SF. It does not move in a straight line; homes under 2,177 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

2026-10-30T06:54:37.261024 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 53 23 32 65 26 32 58 29 20 67 30 Under 2,177 SF 2,177–2,644 SF 2,650–3,099 SF Over 3,099 SF

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

  • 20% of homes over 3,099 SF had a price cut before sale, against 50% of homes under 2,177 SF. Defined in 8.1.7.
  • 67% of homes over 3,099 SF had the seller pay closing costs or repairs, against 53% of homes under 2,177 SF. Defined in 8.1.8.
  • 30% of homes over 3,099 SF have a view, against 23% of homes under 2,177 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 2,177 SF30 sales2,177–2,644 SF31 sales2,650–3,099 SF31 salesOver 3,099 SF30 salesAll122 salesReal difference?
Net sale price average$592,101$710,849$824,385$978,773$776,381✓ large
Net price per SF average$316$291$284$287$295✓ medium
Living area average1,8822,4482,9023,4152,662by design
Year built median19941996199719981997unclear

4.10 The numbers: selling

Under 2,177 SF30 sales2,177–2,644 SF31 sales2,650–3,099 SF31 salesOver 3,099 SF30 salesAll122 salesReal difference?
Days on market median2215191718unclear
Discount from original list average4.0%3.6%3.9%3.1%3.7%unclear
Price cut before sale50%32%32%20%34%unclear
Seller paid closing costs or repairs53%65%58%67%61%unclear
Has a view23%26%29%30%27%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 · 122 sales · October 30, 2025 – October 29, 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.

2026-10-30T06:54:37.281899 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 28 36 29 29 122 sales Sales per group Before 1993: 28 sales (23%) 1993–1997: 36 sales (30%) 1998–2002: 29 sales (24%) After 2002: 29 sales (24%)
Bottom line: no measure differs enough between the groups to rule out chance.

5.1 Key differences

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

5.2 At a glance

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

Before 19931993–19971998–2002After 2002Real difference?
Net sale price$785K$718K$777K$840Kunclear
Net price per SF$289 per SF$295 per SF$298 per SF$296 per SFunclear
Living area2,733 SF2,467 SF2,647 SF2,850 SFunclear
Days on market24 days19 days11 days12 daysunclear
Discount from original list6.1%4.1%2.6%1.7%unclear
Price cut before sale43%33%31%28%unclear
Seller paid closing costs or repairs43%64%69%66%unclear
Has a view11%22%38%38%unclear

5.3 Net sale price: no clear difference

2026-10-30T06:54:37.302958 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1993 28 sales 1993– 1997 36 sales 1998– 2002 29 sales After 2002 29 sales $0K $500K $1.00M $785K $718K $777K $840K Net sale price, average

The average is $840K for homes built after 2002 and $785K for homes built before 1993. It does not move in a straight line; homes built after 2002 are highest. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-10-30T06:54:37.325746 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1993 28 sales 1993– 1997 36 sales 1998– 2002 29 sales After 2002 29 sales $0 $100 $200 $300 $289 $295 $298 $296 Net price per SF, average

The average is $296 per SF for homes built after 2002 and $289 per SF for homes built before 1993. It does not move in a straight line; homes built 1998–2002 are highest. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-10-30T06:54:37.347710 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1993 28 sales 1993– 1997 36 sales 1998– 2002 29 sales After 2002 29 sales 0 1,000 2,000 3,000 2,733 2,467 2,647 2,850 Living area (SF), average

The average is 2,850 SF for homes built after 2002 and 2,733 SF for homes built before 1993. It does not move in a straight line; homes built after 2002 are highest. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-10-30T06:54:37.369793 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1993 28 sales 1993– 1997 36 sales 1998– 2002 29 sales After 2002 29 sales 0 10 20 24 19 11 12 Days on market, median

The median is 12 days for homes built after 2002 and 24 days for homes built before 1993. It does not move in a straight line; homes built before 1993 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-10-30T06:54:37.392586 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1993 28 sales 1993– 1997 36 sales 1998– 2002 29 sales After 2002 29 sales 0.0% 2.0% 4.0% 6.0% 6.1% 4.1% 2.6% 1.7% Discount from original list, average

The average is 1.7% for homes built after 2002 and 6.1% for homes built before 1993. It falls step by step from the lowest range to the highest. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-10-30T06:54:37.418753 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% 43 43 11 33 64 22 31 69 38 28 66 38 Before 1993 1993–1997 1998–2002 After 2002

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

  • 28% of homes built after 2002 had a price cut before sale, against 43% of homes built before 1993. Defined in 8.1.7.
  • 66% of homes built after 2002 had the seller pay closing costs or repairs, against 43% of homes built before 1993. Defined in 8.1.8.
  • 38% of homes built after 2002 have a view, against 11% of homes built before 1993. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance

5.9 The numbers: price and size

Before 199328 sales1993–199736 sales1998–200229 salesAfter 200229 salesAll122 salesReal difference?
Net sale price average$785,329$717,911$776,982$839,724$776,381unclear
Net price per SF average$289$295$298$296$295unclear
Living area average2,7332,4672,6472,8502,662unclear
Year built median19891994200020051997by design

5.10 The numbers: selling

Before 199328 sales1993–199736 sales1998–200229 salesAfter 200229 salesAll122 salesReal difference?
Days on market median2419111218unclear
Discount from original list average6.1%4.1%2.6%1.7%3.7%unclear
Price cut before sale43%33%31%28%34%unclear
Seller paid closing costs or repairs43%64%69%66%61%unclear
Has a view11%22%38%38%27%unclear

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

6. View and no viewResale homes · 122 sales · October 30, 2025 – October 29, 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. 3 sales whose MLS view entry is only “See Remarks” are left out.

2026-10-30T06:54:37.437606 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 33 86 119 sales Sales per group View: 33 sales (28%) No view: 86 sales (72%)
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$810K$761Kunclear
Net price per SF$303 per SF$290 per SFunclear
Living area2,680 SF2,663 SFunclear
Year built20011996unclear
Days on market20 days18 daysunclear
Discount from original list4.4%3.4%unclear
Price cut before sale39%33%unclear
Seller paid closing costs or repairs64%59%unclear

6.3 Net sale price: no clear difference

2026-10-30T06:54:37.454766 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 33 sales No view 86 sales $0K $200K $400K $600K $800K $810K $761K Net sale price, average

The average is $810K for homes with a view and $761K 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

2026-10-30T06:54:37.472987 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 33 sales No view 86 sales $0 $100 $200 $300 $303 $290 Net price per SF, average

The average is $303 per SF for homes with a view and $290 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

2026-10-30T06:54:37.491599 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 33 sales No view 86 sales 0 1,000 2,000 3,000 2,680 2,663 Living area (SF), average

The average is 2,680 SF for homes with a view and 2,663 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-30T06:54:37.536535 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 33 sales No view 86 sales 1992 1996 2000 2004 2001 1996 Year built: median (dot) and middle half (bar)

The median is 2001 for homes with a view and 1996 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-30T06:54:37.555410 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 33 sales No view 86 sales 0 5 10 15 20 20 18 Days on market, median

The median is 20 days for homes with a view and 18 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

2026-10-30T06:54:37.574447 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 33 sales No view 86 sales 0.0% 2.0% 4.0% 4.4% 3.4% Discount from original list, average

The average is 4.4% for homes with a view and 3.4% 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

2026-10-30T06:54:37.592963 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 39 64 33 59 View No view

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

  • 39% of homes with a view had a price cut before sale, against 33% of homes without a view. Defined in 8.1.7.
  • 64% of homes with a view had the seller pay closing costs or repairs, against 59% 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

View33 salesNo view86 salesAll119 salesReal difference?
Net sale price average$810,017$761,472$774,934unclear
Net price per SF average$303$290$293unclear
Living area average2,6802,6632,668unclear
Year built median200119961997unclear

6.11 The numbers: selling

View33 salesNo view86 salesAll119 salesReal difference?
Days on market median201818unclear
Discount from original list average4.4%3.4%3.7%unclear
Price cut before sale39%33%34%unclear
Seller paid closing costs or repairs64%59%61%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 30, 2025 – October 29, 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 Circle C Ranch.

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
122 resale sales. Average $776,381; median $750,500; standard deviation $176,341; middle half (25th–75th percentile) $645,500–$860,858; lowest $429,900, highest $1,290,000. 74 sales had a seller payment; their median payment was $5,064.

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
122 resale sales. Average $295; median $295; standard deviation $39; middle half (25th–75th percentile) $268–$311; lowest $216, highest $429.

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
122 resale sales. Average 2,662; median 2,647; standard deviation 596; middle half (25th–75th percentile) 2,182–3,096; lowest 1,507, highest 4,337.

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
122 resale sales. Average 1997; median 1997; standard deviation 6; middle half (25th–75th percentile) 1993–2002; lowest 1988, highest 2011.

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
122 resale sales. Average 38; median 18; standard deviation 52; middle half (25th–75th percentile) 6–47; lowest 1, highest 308. 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
122 resale sales. Average 3.7%; median 2.6%; standard deviation 5.6%; middle half (25th–75th percentile) 0.7%–6.6%; lowest −11.2%, highest 19.5%. 23 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
41 of 122 resale sales (33.6%).

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
74 of 122 resale sales (60.7%).

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
33 sales with a view, 86 without, 3 unclassified. Most common View entries: None 62, Neighborhood 33, Park/Greenbelt 21, Trees/Woods 9, Garden 3, Pool 3, See Remarks 2, Downtown 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 “circle c ranch”, “circle c”, “park west at circle c”, “circle c ranch phs b”, “alta mira”, “circle c hielscher” (case-insensitive). A record is kept when its subdivision name belongs to the Circle C Ranch family, the same rule comparable sales use (it includes Circle C, Park West At Circle C Ph 02, CIRCLE C RANCH PHS B SEC 1, Alta Mira Sec 1 At Circle C Ra, Circle C Hielscher Sec 07, proven adjacent and priced alike).
The data
Pulled October 30, 2026: 122 closed Circle C Ranch records over the prior year, in ZIP 78739, 78749. 41 subdivision spellings kept, the most common: Circle C Ranch (21); Circle C Ranch Ph B Sec 02 (10); Circle C Ranch Ph B Sec 03 (10); Circle C (7); Circle C Ranch Ph A Sec 01 (5); Circle C Ranch Ph B Sec 13 (5); Circle C Ranch Ph B Sec 01 (4); Park West At Circle C Ph 01 (3); Circle C Ranch Ph A Sec 02 (3); Circle C Ranch Ph C Sec 09 (3); Circle C Ranch Ph A Sec 07 (3); Circle C Ranch Ph B Sec 17 (3); and 29 more (45 records). Names found by the search but not part of Circle C Ranch, left out: Circle C Ranch Tr 8A (4); Circle C Golf Estates Ph 02 (3); Circle C / Greyrock Ridge (2); Greyrock Ridge, Circle C Ranch (2); Avana Circle C (2); CIRCLE C RANCH , Hielscher Sec 12 (1); Circle C Avana (1); Park West at Circle C Ranch (1); CIRCLE C RANCH PHS C SEC 2 (1); Circle C La Crosse Sec 02 (1); Hielscher Sec 04 Circle C Ranch (1); Circle C Ranch , Hielscher Sec 12 (1); CIRCLE C RANCH PHS A SEC 5 (1); Circle C Ranch At Greyrock Ridge (1); Avana Ph 1 Sec 1 - Circle C Ranch (1); Circle C Ranch West (1); Circle C Ranch Phs C Sec 5-b (1); Circle C Ranch - Hielscher Sec 11 (1); CIRCLE C ALTA MIRA (1); Circle C Ranch West - Hielscher Sec 14 (1); Circle C Ranch - Hielscher Sec 04 (1); Hielscher Sec 11 Circle C (1); CIRCLE C RANCH PHS A SEC 1 (1); Circle C ~ Avana (1); Circle C Ranch - Lacrosse Sec 02 (1); Greyrock Ridge / Circle C Ranch (1); Circle C Ranch, Hielscher Sec 02 (1); Circle C Alta Mira (1); Circle C Ranch Hielscher Sec 08 (1); Circle C Phs B Sec 21 (1); Avana, Circle C (1); Circle C Ranch at Greyrock Ridge Phase 3 (1); Alta Mira at Circle C Ranch (1); Circle C Avana, Esquel (1); Enclave at Circle C Ranch - La Crosse Section 2 (1); Hielscher Circle C West (1); Circle C Ranch, Hielscher Sec 12 & 10 Amd (1); Alta Mira At Circle C Ranch (1); CIRCLE C RANCH PHS C SEC 3-A (1).

8.2.2 Study window

In simple terms
The most recent 365 days of closed sales: recent enough to describe today's market, long enough to give each group plenty of sales. The usual window is 180 days; it holds only 62 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 30, 2025 to October 29, 2026 inclusive.
The data
122 single-family sales in the window: 122 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
122 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 $644K”.
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 $644K: $429,900–$643,000 (30 sales); $644K–$750K: $644,000–$749,500 (31 sales); $752K–$861K: $751,500–$861,000 (31 sales); Over $861K: $865,000–$1,290,000 (30 sales)
Quartiles by living area: Under 2,177 SF: 1,507–2,158 SF (30 sales); 2,177–2,644 SF: 2,177–2,644 SF (31 sales); 2,650–3,099 SF: 2,650–3,099 SF (31 sales); Over 3,099 SF: 3,105–4,337 SF (30 sales)
Quartiles by year built: Before 1993: 1988–1992 (28 sales); 1993–1997: 1993–1997 (36 sales); 1998–2002: 1998–2002 (29 sales); After 2002: 2003–2011 (29 sales)
View and no view: View: MLS lists a view (33 sales); No view: None or Neighborhood (86 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 $776,381, median $750,500. Days on market: average 38, median 18: the average is pulled up by a few long listings.

8.2.7 Kruskal–Wallis test

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

8.2.8 Mann–Whitney U test

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

8.2.9 Chi-square test

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

8.2.10 Real difference (significance)

In simple terms
“Real difference” means a gap this large would be very unlikely if the groups were really alike. Because many measures are checked in each slice, the bar is set higher than usual.
Statistically
Significant when p < 0.05 ÷ m, where m is the number of measures tested in that slice (Bonferroni; Dunn, 1961). The slicing variable itself differs by design and is not tested.
The data
Quartiles by net sale price: m = 8, threshold p < 0.0063; Quartiles by living area: m = 8, threshold p < 0.0063; Quartiles by year built: m = 8, threshold p < 0.0063; 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
4 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 = 16.7430.0008p < 0.0063Yesε² = 0.138medium
Living areaKruskal–WallisH = 83.313< 0.0001p < 0.0063Yesε² = 0.688large
Year builtKruskal–WallisH = 4.0730.2538p < 0.0063Unclearε² = 0.034small
Days on marketKruskal–WallisH = 2.1730.5377p < 0.0063Unclearε² = 0.018small
Discount from original listKruskal–WallisH = 3.9530.2668p < 0.0063Unclearε² = 0.033small
Price cut before saleChi-squareχ² = 11.7430.0083p < 0.0063UnclearCramér’s V = 0.310medium
Seller paid closing costs or repairsChi-squareχ² = 0.2930.9616p < 0.0063UnclearCramér’s V = 0.049negligible
Has a viewChi-squareχ² = 3.8030.2844p < 0.0063UnclearCramér’s V = 0.176small

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 87.503< 0.0001p < 0.0063Yesε² = 0.723large
Net price per SFKruskal–WallisH = 14.7630.0020p < 0.0063Yesε² = 0.122medium
Year builtKruskal–WallisH = 4.5830.2053p < 0.0063Unclearε² = 0.038small
Days on marketKruskal–WallisH = 2.5130.4740p < 0.0063Unclearε² = 0.021small
Discount from original listKruskal–WallisH = 0.3330.9545p < 0.0063Unclearε² = 0.003negligible
Price cut before saleChi-squareχ² = 6.1530.1044p < 0.0063UnclearCramér’s V = 0.225small
Seller paid closing costs or repairsChi-squareχ² = 1.4130.7034p < 0.0063UnclearCramér’s V = 0.107small
Has a viewChi-squareχ² = 0.4330.9343p < 0.0063UnclearCramér’s V = 0.059negligible

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 11.1030.0112p < 0.0063Unclearε² = 0.092medium
Net price per SFKruskal–WallisH = 1.2830.7344p < 0.0063Unclearε² = 0.011small
Living areaKruskal–WallisH = 7.9930.0461p < 0.0063Unclearε² = 0.066medium
Days on marketKruskal–WallisH = 4.3330.2276p < 0.0063Unclearε² = 0.036small
Discount from original listKruskal–WallisH = 9.9030.0195p < 0.0063Unclearε² = 0.082medium
Price cut before saleChi-squareχ² = 1.6330.6521p < 0.0063UnclearCramér’s V = 0.116small
Seller paid closing costs or repairsChi-squareχ² = 5.0030.1717p < 0.0063UnclearCramér’s V = 0.202small
Has a viewChi-squareχ² = 7.6930.0528p < 0.0063UnclearCramér’s V = 0.251small

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 1,653.50—0.1648p < 0.0063Unclearrank-biserial r = 0.165small
Net price per SFMann–Whitney UU = 1,678.00—0.1249p < 0.0063Unclearrank-biserial r = 0.183small
Living areaMann–Whitney UU = 1,492.50—0.6648p < 0.0063Unclearrank-biserial r = 0.052negligible
Year builtMann–Whitney UU = 1,864.00—0.0082p < 0.0063Unclearrank-biserial r = 0.314medium
Days on marketMann–Whitney UU = 1,551.00—0.4348p < 0.0063Unclearrank-biserial r = 0.093negligible
Discount from original listMann–Whitney UU = 1,493.50—0.6605p < 0.0063Unclearrank-biserial r = 0.053negligible
Price cut before saleChi-squareχ² = 0.4910.4824p < 0.0063UnclearCramér’s V = 0.064negligible
Seller paid closing costs or repairsChi-squareχ² = 0.1910.6650p < 0.0063UnclearCramér’s V = 0.040negligible

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 122 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 30, 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.