ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Cat Hollow

Round Rock, TX 78681
Resale homes · closed Oct 28 – Oct 27, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
October 28, 2026 · 7:26 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
43
single-family resale homes
Median net sale price
$465,000
average $516,209
Median net price per SF
$203
average $205
Median days on market
11 days
average 50 days
1. SummaryResale homes · 43 sales · October 28, 2025 – October 27, 2026

This study looks at the 43 resale homes sold in Cat Hollow in the 365 days to October 27, 2026. A full year is used because only 22 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 sold43 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 $436K · 11 sales$436K–$465K · 11 sales$469K–$555K · 9 salesOver $555K · 12 sales
3. Quartiles by net sale priceResale homes · 43 sales · October 28, 2025 – October 27, 2026

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

2026-10-28T07:26:52.173342 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 11 11 9 12 43 sales Sales per group Under $436K: 11 sales (26%) $436K–$465K: 11 sales (26%) $469K–$555K: 9 sales (21%) Over $555K: 12 sales (28%)
Bottom line

3.1 Key differences

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

Under $436K$436K–$465K$469K–$555KOver $555K
Higher-priced homes Over $555K
  • Are much larger.
Lower-priced homes Under $436K
  • 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 $436K$436K–$465K$469K–$555KOver $555KReal difference?
Net price per SF$193 per SF$210 per SF$206 per SF$211 per SFunclear
Living area2,013 SFSmallest2,208 SF2,528 SF3,384 SFLargest✓ large
Year built1995199719982000unclear
Days on market27 days7 days3 days20 daysunclear
Discount from original list6.7%3.8%2.0%3.0%unclear
Price cut before sale55%36%22%33%unclear
Seller paid closing costs or repairs18%64%44%50%unclear
Has a view18%9%44%25%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

2026-10-28T07:26:52.201906 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $436K 11 sales $436K– $465K 11 sales $469K– $555K 9 sales Over $555K 12 sales $0 $100 $200 $193 $210 $206 $211 Net price per SF, average

The average is $211 per SF for homes over $555K and $193 per SF for homes under $436K. It does not move in a straight line; homes over $555K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Homes over $555K are about 1,370 SF (68%) larger than homes under $436K

2026-10-28T07:26:52.224145 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $436K 11 sales $436K– $465K 11 sales $469K– $555K 9 sales Over $555K 12 sales 0 2,000 4,000 2,013 2,208 2,528 3,384 Living area (SF), average

The average is 3,384 SF for homes over $555K and 2,013 SF for homes under $436K. 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

2026-10-28T07:26:52.248122 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $436K 11 sales $436K– $465K 11 sales $469K– $555K 9 sales Over $555K 12 sales 1990 1993 1996 1999 1995 1997 1998 2000 Year built: median (dot) and middle half (bar)

The median is 2000 for homes over $555K and 1995 for homes under $436K. 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

2026-10-28T07:26:52.270759 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $436K 11 sales $436K– $465K 11 sales $469K– $555K 9 sales Over $555K 12 sales 0 10 20 30 27 7 3 20 Days on market, median

The median is 20 days for homes over $555K and 27 days for homes under $436K. It does not move in a straight line; homes under $436K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-28T07:26:52.293480 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $436K 11 sales $436K– $465K 11 sales $469K– $555K 9 sales Over $555K 12 sales 0.0% 2.5% 5.0% 7.5% 6.7% 3.8% 2.0% 3.0% Discount from original list, average

The average is 3.0% for homes over $555K and 6.7% for homes under $436K. It does not move in a straight line; homes under $436K 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

2026-10-28T07:26:52.323533 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% 55 18 18 36 64 9 22 44 44 33 50 25 Under $436K $436K–$465K $469K–$555K Over $555K

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

  • 33% of homes over $555K had a price cut before sale, against 55% of homes under $436K. Defined in 8.1.7.
  • 50% of homes over $555K had the seller pay closing costs or repairs, against 18% of homes under $436K. Defined in 8.1.8.
  • 25% of homes over $555K have a view, against 18% of homes under $436K. 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 $436K11 sales$436K–$465K11 sales$469K–$555K9 salesOver $555K12 salesAll43 salesReal difference?
Net sale price average$379,119$451,051$514,223$703,093$516,209by design
Net price per SF average$193$210$206$211$205unclear
Living area average2,0132,2082,5283,3842,554✓ large
Year built median19951997199820001998unclear

3.10 The numbers: selling

Under $436K11 sales$436K–$465K11 sales$469K–$555K9 salesOver $555K12 salesAll43 salesReal difference?
Days on market median27732011unclear
Discount from original list average6.7%3.8%2.0%3.0%3.9%unclear
Price cut before sale55%36%22%33%37%unclear
Seller paid closing costs or repairs18%64%44%50%44%unclear
Has a view18%9%44%25%23%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 · 43 sales · October 28, 2025 – October 27, 2026

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

2026-10-28T07:26:52.344560 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 11 11 10 11 43 sales Sales per group Under 2,069 SF: 11 sales (26%) 2,069–2,464 SF: 11 sales (26%) 2,529–2,876 SF: 10 sales (23%) Over 2,876 SF: 11 sales (26%)
Bottom line

4.1 Key differences

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

Under 2,069 SF2,069–2,464 SF2,529–2,876 SFOver 2,876 SF
Larger homes Over 2,876 SF
  • Sell for much more.
  • Tend to be newer.
Smaller homes Under 2,069 SF
  • Sell for much less.
  • Tend to be older.

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 2,069 SF2,069–2,464 SF2,529–2,876 SFOver 2,876 SFReal difference?
Net sale price$405KLowest$461K$523K$676KHighest✓ large
Net price per SF$224 per SF$204 per SF$196 per SF$194 per SFunclear
Year built19971996Oldest2001Newest2000✓ large
Days on market11 days8 days10 days38 daysunclear
Discount from original list3.1%3.8%3.5%5.3%unclear
Price cut before sale27%36%40%45%unclear
Seller paid closing costs or repairs18%64%30%64%unclear
Has a view9%27%30%27%unclear

4.3 Homes over 2,876 SF sell for about $272K (67%) more than homes under 2,069 SF

2026-10-28T07:26:52.365427 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,069 SF 11 sales 2,069– 2,464 SF 11 sales 2,529– 2,876 SF 10 sales Over 2,876 SF 11 sales $0K $250K $500K $750K $405K $461K $523K $676K Net sale price, average

The average is $676K for homes over 2,876 SF and $405K for homes under 2,069 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

✓ Real difference · large

4.4 Net price per SF: no clear difference

2026-10-28T07:26:52.388463 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,069 SF 11 sales 2,069– 2,464 SF 11 sales 2,529– 2,876 SF 10 sales Over 2,876 SF 11 sales $0 $100 $200 $224 $204 $196 $194 Net price per SF, average

The average is $194 per SF for homes over 2,876 SF and $224 per SF for homes under 2,069 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Homes over 2,876 SF are about 3 years newer than homes under 2,069 SF

2026-10-28T07:26:52.412072 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,069 SF 11 sales 2,069– 2,464 SF 11 sales 2,529– 2,876 SF 10 sales Over 2,876 SF 11 sales 1994 1996 1998 2000 1997 1996 2001 2000 Year built: median (dot) and middle half (bar)

The median is 2000 for homes over 2,876 SF and 1997 for homes under 2,069 SF. It does not move in a straight line; homes 2,529–2,876 SF are highest. Defined in 8.1.4.

✓ Real difference · large

4.6 Days on market: no clear difference

2026-10-28T07:26:52.434778 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,069 SF 11 sales 2,069– 2,464 SF 11 sales 2,529– 2,876 SF 10 sales Over 2,876 SF 11 sales 0 20 40 11 8 10 38 Days on market, median

The median is 38 days for homes over 2,876 SF and 11 days for homes under 2,069 SF. It does not move in a straight line; homes over 2,876 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-28T07:26:52.456789 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,069 SF 11 sales 2,069– 2,464 SF 11 sales 2,529– 2,876 SF 10 sales Over 2,876 SF 11 sales 0.0% 2.0% 4.0% 6.0% 3.1% 3.8% 3.5% 5.3% Discount from original list, average

The average is 5.3% for homes over 2,876 SF and 3.1% for homes under 2,069 SF. It does not move in a straight line; homes over 2,876 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

2026-10-28T07:26:52.483365 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% 27 18 9 36 64 27 40 30 30 45 64 27 Under 2,069 SF 2,069–2,464 SF 2,529–2,876 SF Over 2,876 SF

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

  • 45% of homes over 2,876 SF had a price cut before sale, against 27% of homes under 2,069 SF. Defined in 8.1.7.
  • 64% of homes over 2,876 SF had the seller pay closing costs or repairs, against 18% of homes under 2,069 SF. Defined in 8.1.8.
  • 27% of homes over 2,876 SF have a view, against 9% of homes under 2,069 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 2,069 SF11 sales2,069–2,464 SF11 sales2,529–2,876 SF10 salesOver 2,876 SF11 salesAll43 salesReal difference?
Net sale price average$404,545$461,285$523,387$676,272$516,209✓ large
Net price per SF average$224$204$196$194$205unclear
Living area average1,8102,2632,6683,4842,554by design
Year built median19971996200120001998✓ large

4.10 The numbers: selling

Under 2,069 SF11 sales2,069–2,464 SF11 sales2,529–2,876 SF10 salesOver 2,876 SF11 salesAll43 salesReal difference?
Days on market median118103811unclear
Discount from original list average3.1%3.8%3.5%5.3%3.9%unclear
Price cut before sale27%36%40%45%37%unclear
Seller paid closing costs or repairs18%64%30%64%44%unclear
Has a view9%27%30%27%23%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 · 43 sales · October 28, 2025 – October 27, 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.

2026-10-28T07:26:52.503921 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 13 7 14 9 43 sales Sales per group Before 1996: 13 sales (30%) 1996–1997: 7 sales (16%) 1998–2000: 14 sales (33%) After 2000: 9 sales (21%)
Bottom line

5.1 Key differences

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

Before 19961996–19971998–2000After 2000
Newer homes After 2000
  • Are much larger.
Older homes Before 1996
  • Are much smaller.

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 19961996–19971998–2000After 2000Real difference?
Net sale price$421K$494K$595K$548Kunclear
Net price per SF$199 per SF$233 per SF$205 per SF$190 per SFunclear
Living area2,143 SFSmallest2,155 SF2,932 SFLargest2,868 SF✓ large
Days on market11 days7 days31 days10 daysunclear
Discount from original list4.9%1.0%3.3%5.8%unclear
Price cut before sale38%29%36%44%unclear
Seller paid closing costs or repairs62%43%50%11%unclear
Has a view8%14%36%33%unclear

5.3 Net sale price: no clear difference

2026-10-28T07:26:52.524709 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1996 13 sales 1996– 1997 7 sales 1998– 2000 14 sales After 2000 9 sales $0K $200K $400K $600K $421K $494K $595K $548K Net sale price, average

The average is $548K for homes built after 2000 and $421K for homes built before 1996. It does not move in a straight line; homes built 1998–2000 are highest. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-10-28T07:26:52.548188 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1996 13 sales 1996– 1997 7 sales 1998– 2000 14 sales After 2000 9 sales $0 $100 $200 $199 $233 $205 $190 Net price per SF, average

The average is $190 per SF for homes built after 2000 and $199 per SF for homes built before 1996. It does not move in a straight line; homes built 1996–1997 are highest. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Homes built after 2000 are about 730 SF (34%) larger than homes built before 1996

2026-10-28T07:26:52.569854 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1996 13 sales 1996– 1997 7 sales 1998– 2000 14 sales After 2000 9 sales 0 1,000 2,000 3,000 2,143 2,155 2,932 2,868 Living area (SF), average

The average is 2,868 SF for homes built after 2000 and 2,143 SF for homes built before 1996. It does not move in a straight line; homes built 1998–2000 are highest. Defined in 8.1.3.

✓ Real difference · large

5.6 Days on market: no clear difference

2026-10-28T07:26:52.591592 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1996 13 sales 1996– 1997 7 sales 1998– 2000 14 sales After 2000 9 sales 0 10 20 30 11 7 31 10 Days on market, median

The median is 10 days for homes built after 2000 and 11 days for homes built before 1996. It does not move in a straight line; homes built 1998–2000 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-10-28T07:26:52.614362 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1996 13 sales 1996– 1997 7 sales 1998– 2000 14 sales After 2000 9 sales 0.0% 2.0% 4.0% 6.0% 4.9% 1.0% 3.3% 5.8% Discount from original list, average

The average is 5.8% for homes built after 2000 and 4.9% for homes built before 1996. It does not move in a straight line; homes built after 2000 are highest. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-10-28T07:26:52.640236 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% 38 62 8 29 43 14 36 50 36 44 11 33 Before 1996 1996–1997 1998–2000 After 2000

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

  • 44% of homes built after 2000 had a price cut before sale, against 38% of homes built before 1996. Defined in 8.1.7.
  • 11% of homes built after 2000 had the seller pay closing costs or repairs, against 62% of homes built before 1996. Defined in 8.1.8.
  • 33% of homes built after 2000 have a view, against 8% of homes built before 1996. 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 199613 sales1996–19977 sales1998–200014 salesAfter 20009 salesAll43 salesReal difference?
Net sale price average$421,196$494,286$594,996$547,944$516,209unclear
Net price per SF average$199$233$205$190$205unclear
Living area average2,1432,1552,9322,8682,554✓ large
Year built median19931997199920011998by design

5.10 The numbers: selling

Before 199613 sales1996–19977 sales1998–200014 salesAfter 20009 salesAll43 salesReal difference?
Days on market median117311011unclear
Discount from original list average4.9%1.0%3.3%5.8%3.9%unclear
Price cut before sale38%29%36%44%37%unclear
Seller paid closing costs or repairs62%43%50%11%44%unclear
Has a view8%14%36%33%23%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 · 43 sales · October 28, 2025 – October 27, 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.

2026-10-28T07:26:52.659030 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 10 32 42 sales Sales per group View: 10 sales (24%) No view: 32 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$553K$507Kunclear
Net price per SF$207 per SF$203 per SFunclear
Living area2,729 SF2,520 SFunclear
Year built19981997unclear
Days on market18 days10 daysunclear
Discount from original list4.7%3.8%unclear
Price cut before sale50%34%unclear
Seller paid closing costs or repairs20%53%unclear

6.3 Net sale price: no clear difference

2026-10-28T07:26:52.674725 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 10 sales No view 32 sales $0K $200K $400K $600K $553K $507K Net sale price, average

The average is $553K for homes with a view and $507K 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

2026-10-28T07:26:52.693158 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 10 sales No view 32 sales $0 $50 $100 $150 $200 $207 $203 Net price per SF, average

The average is $207 per SF for homes with a view and $203 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

2026-10-28T07:26:52.711679 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 10 sales No view 32 sales 0 1,000 2,000 3,000 2,729 2,520 Living area (SF), average

The average is 2,729 SF for homes with a view and 2,520 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-28T07:26:52.750891 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 10 sales No view 32 sales 1996 1998 2000 1998 1997 Year built: median (dot) and middle half (bar)

The median is 1998 for homes with a view and 1997 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-28T07:26:52.768935 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 10 sales No view 32 sales 0 5 10 15 20 18 10 Days on market, median

The median is 18 days for homes with a view and 10 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

2026-10-28T07:26:52.787616 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 10 sales No view 32 sales 0.0% 2.0% 4.0% 4.7% 3.8% Discount from original list, average

The average is 4.7% 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

2026-10-28T07:26:52.805788 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 50 20 34 53 View No view

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

  • 50% of homes with a view had a price cut before sale, against 34% of homes without a view. Defined in 8.1.7.
  • 20% of homes with a view had the seller pay closing costs or repairs, against 53% 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

View10 salesNo view32 salesAll42 salesReal difference?
Net sale price average$553,483$506,786$517,905unclear
Net price per SF average$207$203$204unclear
Living area average2,7292,5202,570unclear
Year built median199819971998unclear

6.11 The numbers: selling

View10 salesNo view32 salesAll42 salesReal difference?
Days on market median181013unclear
Discount from original list average4.7%3.8%4.0%unclear
Price cut before sale50%34%38%unclear
Seller paid closing costs or repairs20%53%45%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 28, 2025 – October 27, 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 Cat Hollow.

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
43 resale sales. Average $516,209; median $465,000; standard deviation $139,918; middle half (25th–75th percentile) $432,938–$565,000; lowest $280,000, highest $895,000. 19 sales had a seller payment; their median payment was $4,125.

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
43 resale sales. Average $205; median $203; standard deviation $32; middle half (25th–75th percentile) $182–$229; lowest $141, highest $281.

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
43 resale sales. Average 2,554; median 2,464; standard deviation 701; middle half (25th–75th percentile) 2,058–2,878; lowest 1,522, highest 4,619.

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
43 resale sales. Average 1997; median 1998; standard deviation 4; middle half (25th–75th percentile) 1995–2000; lowest 1988, highest 2004.

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
43 resale sales. Average 50; median 11; standard deviation 74; middle half (25th–75th percentile) 4–68; lowest 1, highest 300. 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
43 resale sales. Average 3.9%; median 2.1%; standard deviation 7.1%; middle half (25th–75th percentile) −1.2%–8.0%; lowest −8.1%, highest 20.8%. 14 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
16 of 43 resale sales (37.2%).

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
19 of 43 resale sales (44.2%).

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
10 sales with a view, 32 without, 1 unclassified. Most common View entries: None 24, Neighborhood 9, Park/Greenbelt 7, Pool 2, See Remarks 1, Trees/Woods 1, Garden 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 = Round Rock, SubdivisionName contains any of “cat hollow” (case-insensitive). A record is kept when its subdivision name belongs to the Cat Hollow family, the same rule comparable sales use.
The data
Pulled October 28, 2026: 53 closed Cat Hollow records over the prior year, in ZIP 78681. 20 subdivision spellings kept, the most common: Cat Hollow Condo (9); Cat Hollow Sec A Ph 02 (5); Cat Hollow Sec 07 (4); Cat Hollow Sec A Ph 04 (4); Cat Hollow Sec A Ph 03 (4); Cat Hollow Sec A Ph 01 (3); Cat Hollow Sec B (3); Cat Hollow Sec 13 (3); Cat Hollow Sec 05-A (3); Cat Hollow Sec C Ph 01 (2); Cat Hollow Sec 09 (2); Cat Hollow Sec 01-A (2); and 8 more (9 records). 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 22 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 28, 2025 to October 27, 2026 inclusive.
The data
43 single-family sales in the window: 43 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
43 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
10 sale(s) other than single-family homes (condo, townhome and similar)

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 $436K”.
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 $436K: $280,000–$430,000 (11 sales); $436K–$465K: $435,875–$465,000 (11 sales); $469K–$555K: $469,225–$555,000 (9 sales); Over $555K: $565,000–$895,000 (12 sales)
Quartiles by living area: Under 2,069 SF: 1,522–2,046 SF (11 sales); 2,069–2,464 SF: 2,069–2,464 SF (11 sales); 2,529–2,876 SF: 2,529–2,876 SF (10 sales); Over 2,876 SF: 2,880–4,619 SF (11 sales)
Quartiles by year built: Before 1996: 1988–1995 (13 sales); 1996–1997: 1996–1997 (7 sales); 1998–2000: 1998–2000 (14 sales); After 2000: 2001–2004 (9 sales)
View and no view: View: MLS lists a view (10 sales); No view: None or Neighborhood (32 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 $516,209, median $465,000. Days on market: average 50, median 11: 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 = 1.9230.5892p < 0.0063Unclearε² = 0.046small
Living areaKruskal–WallisH = 27.233< 0.0001p < 0.0063Yesε² = 0.648large
Year builtKruskal–WallisH = 11.5230.0092p < 0.0063Unclearε² = 0.274large
Days on marketKruskal–WallisH = 5.2930.1517p < 0.0063Unclearε² = 0.126medium
Discount from original listKruskal–WallisH = 2.5130.4728p < 0.0063Unclearε² = 0.060small
Price cut before saleChi-squareχ² = 2.3630.5010p < 0.0063UnclearCramér’s V = 0.234small
Seller paid closing costs or repairsChi-squareχ² = 4.8730.1817p < 0.0063UnclearCramér’s V = 0.336medium
Has a viewChi-squareχ² = 3.6830.2982p < 0.0063UnclearCramér’s V = 0.293small

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 21.773< 0.0001p < 0.0063Yesε² = 0.518large
Net price per SFKruskal–WallisH = 6.9730.0727p < 0.0063Unclearε² = 0.166large
Year builtKruskal–WallisH = 15.1630.0017p < 0.0063Yesε² = 0.361large
Days on marketKruskal–WallisH = 2.7330.4355p < 0.0063Unclearε² = 0.065medium
Discount from original listKruskal–WallisH = 0.8330.8430p < 0.0063Unclearε² = 0.020small
Price cut before saleChi-squareχ² = 0.8230.8443p < 0.0063UnclearCramér’s V = 0.138small
Seller paid closing costs or repairsChi-squareχ² = 7.2130.0656p < 0.0063UnclearCramér’s V = 0.409medium
Has a viewChi-squareχ² = 1.6930.6391p < 0.0063UnclearCramér’s V = 0.198small

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 11.1530.0109p < 0.0063Unclearε² = 0.265large
Net price per SFKruskal–WallisH = 8.8330.0317p < 0.0063Unclearε² = 0.210large
Living areaKruskal–WallisH = 14.1730.0027p < 0.0063Yesε² = 0.337large
Days on marketKruskal–WallisH = 1.3830.7091p < 0.0063Unclearε² = 0.033small
Discount from original listKruskal–WallisH = 1.0130.7991p < 0.0063Unclearε² = 0.024small
Price cut before saleChi-squareχ² = 0.4530.9303p < 0.0063UnclearCramér’s V = 0.102small
Seller paid closing costs or repairsChi-squareχ² = 5.7830.1230p < 0.0063UnclearCramér’s V = 0.367medium
Has a viewChi-squareχ² = 3.8130.2828p < 0.0063UnclearCramér’s V = 0.298small

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 190.00—0.3836p < 0.0063Unclearrank-biserial r = 0.188small
Net price per SFMann–Whitney UU = 164.00—0.9177p < 0.0063Unclearrank-biserial r = 0.025negligible
Living areaMann–Whitney UU = 180.00—0.5647p < 0.0063Unclearrank-biserial r = 0.125small
Year builtMann–Whitney UU = 203.50—0.2014p < 0.0063Unclearrank-biserial r = 0.272small
Days on marketMann–Whitney UU = 173.50—0.7005p < 0.0063Unclearrank-biserial r = 0.084negligible
Discount from original listMann–Whitney UU = 166.00—0.8710p < 0.0063Unclearrank-biserial r = 0.038negligible
Price cut before saleChi-squareχ² = 0.7910.3745p < 0.0063UnclearCramér’s V = 0.137small
Seller paid closing costs or repairsChi-squareχ² = 3.3710.0662p < 0.0063UnclearCramér’s V = 0.283small

8.4 Data notes

Left out of the analysis: 0 new-construction sales (basic statistics only, section 7); 10 sale(s) other than single-family homes (condo, townhome and similar). 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 43 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 28, 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.