ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Anderson Mill West Sec 03

Cedar Park, TX 78613
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 · 7:12 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
$422,500
average $441,933
Median net price per SF
$220
average $219
Median days on market
36 days
average 67 days
1. SummaryResale homes · 43 sales · October 26, 2025 – October 25, 2026

This study looks at the 43 resale homes sold in Anderson Mill West Sec 03 in the 365 days to October 25, 2026. A full year is used because only 23 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 $365K · 11 sales$365K–$422K · 11 sales$428K–$486K · 10 salesOver $486K · 11 sales
3. Quartiles by net sale priceResale homes · 43 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.

2026-10-26T07:12:22.125049 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 11 11 10 11 43 sales Sales per group Under $365K: 11 sales (26%) $365K–$422K: 11 sales (26%) $428K–$486K: 10 sales (23%) Over $486K: 11 sales (26%)
Bottom line

3.1 Key differences

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

Under $365K$365K–$422K$428K–$486KOver $486K
Higher-priced homes Over $486K
  • Are much larger.
  • Tend to be newer.
Lower-priced homes Under $365K
  • Are much smaller.
  • Tend to be older.

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 $365K$365K–$422K$428K–$486KOver $486KReal difference?
Net price per SF$227 per SF$223 per SF$207 per SF$216 per SFunclear
Living area1,459 SFSmallest1,787 SF2,276 SF2,806 SFLargest✓ large
Year built1987Oldest198919942002Newest✓ large
Days on market21 days45 days28 days34 daysunclear
Discount from original list10.8%7.5%6.2%3.7%unclear
Price cut before sale45%36%60%45%unclear
Seller paid closing costs or repairs82%55%50%73%unclear
Has a view9%0%10%27%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

2026-10-26T07:12:22.154780 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $365K 11 sales $365K– $422K 11 sales $428K– $486K 10 sales Over $486K 11 sales $0 $100 $200 $227 $223 $207 $216 Net price per SF, average

The average is $216 per SF for homes over $486K and $227 per SF for homes under $365K. It does not move in a straight line; homes under $365K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Homes over $486K are about 1,350 SF (92%) larger than homes under $365K

2026-10-26T07:12:22.177542 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $365K 11 sales $365K– $422K 11 sales $428K– $486K 10 sales Over $486K 11 sales 0 1,000 2,000 3,000 1,459 1,787 2,276 2,806 Living area (SF), average

The average is 2,806 SF for homes over $486K and 1,459 SF for homes under $365K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

✓ Real difference · large

3.5 Homes over $486K are about 15 years newer than homes under $365K

2026-10-26T07:12:22.202793 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $365K 11 sales $365K– $422K 11 sales $428K– $486K 10 sales Over $486K 11 sales 1988 1992 1996 2000 1987 1989 1994 2002 Year built: median (dot) and middle half (bar)

The median is 2002 for homes over $486K and 1987 for homes under $365K. It rises step by step from the lowest range to the highest. Defined in 8.1.4.

✓ Real difference · large

3.6 Days on market: no clear difference

2026-10-26T07:12:22.226328 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $365K 11 sales $365K– $422K 11 sales $428K– $486K 10 sales Over $486K 11 sales 0 20 40 21 45 28 34 Days on market, median

The median is 34 days for homes over $486K and 21 days for homes under $365K. It does not move in a straight line; homes $365K–$422K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-26T07:12:22.248608 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $365K 11 sales $365K– $422K 11 sales $428K– $486K 10 sales Over $486K 11 sales 0.0% 5.0% 10.0% 10.8% 7.5% 6.2% 3.7% Discount from original list, average

The average is 3.7% for homes over $486K and 10.8% for homes under $365K. 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

2026-10-26T07:12:22.279344 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% 45 82 9 36 55 0 60 50 10 45 73 27 Under $365K $365K–$422K $428K–$486K Over $486K

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

  • 45% of homes over $486K had a price cut before sale, against 45% of homes under $365K. Defined in 8.1.7.
  • 73% of homes over $486K had the seller pay closing costs or repairs, against 82% of homes under $365K. Defined in 8.1.8.
  • 27% of homes over $486K have a view, against 9% of homes under $365K. 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 $365K11 sales$365K–$422K11 sales$428K–$486K10 salesOver $486K11 salesAll43 salesReal difference?
Net sale price average$323,217$387,477$454,295$603,868$441,933by design
Net price per SF average$227$223$207$216$219unclear
Living area average1,4591,7872,2762,8062,078✓ large
Year built median19871989199420021993✓ large

3.10 The numbers: selling

Under $365K11 sales$365K–$422K11 sales$428K–$486K10 salesOver $486K11 salesAll43 salesReal difference?
Days on market median2145283436unclear
Discount from original list average10.8%7.5%6.2%3.7%7.1%unclear
Price cut before sale45%36%60%45%47%unclear
Seller paid closing costs or repairs82%55%50%73%65%unclear
Has a view9%0%10%27%12%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 26, 2025 – October 25, 2026

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

2026-10-26T07:12:22.301026 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 11 11 10 11 43 sales Sales per group Under 1,576 SF: 11 sales (26%) 1,576–1,881 SF: 11 sales (26%) 1,948–2,533 SF: 10 sales (23%) Over 2,533 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 1,576 SF1,576–1,881 SF1,948–2,533 SFOver 2,533 SF
Larger homes Over 2,533 SF
  • Sell for much more.
  • Tend to be newer.
  • Sell for less per square foot.
Smaller homes Under 1,576 SF
  • Sell for much less.
  • Tend to be older.
  • Sell for more per square foot.

4.2 At a glance

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

Under 1,576 SF1,576–1,881 SF1,948–2,533 SFOver 2,533 SFReal difference?
Net sale price$345KLowest$370K$464K$591KHighest✓ large
Net price per SF$253 per SFHighest$214 per SF$209 per SF$196 per SFLowest✓ large
Year built1987Oldest199219942002Newest✓ large
Days on market21 days38 days39 days34 daysunclear
Discount from original list5.1%10.7%7.0%5.5%unclear
Price cut before sale27%45%60%55%unclear
Seller paid closing costs or repairs64%73%70%55%unclear
Has a view9%0%10%27%unclear

4.3 Homes over 2,533 SF sell for about $246K (71%) more than homes under 1,576 SF

2026-10-26T07:12:22.322047 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,576 SF 11 sales 1,576– 1,881 SF 11 sales 1,948– 2,533 SF 10 sales Over 2,533 SF 11 sales $0K $200K $400K $600K $345K $370K $464K $591K Net sale price, average

The average is $591K for homes over 2,533 SF and $345K for homes under 1,576 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 2,533 SF sell for about $57 per SF (23%) less than homes under 1,576 SF

2026-10-26T07:12:22.345565 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,576 SF 11 sales 1,576– 1,881 SF 11 sales 1,948– 2,533 SF 10 sales Over 2,533 SF 11 sales $0 $100 $200 $300 $253 $214 $209 $196 Net price per SF, average

The average is $196 per SF for homes over 2,533 SF and $253 per SF for homes under 1,576 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

✓ Real difference · large

4.5 Homes over 2,533 SF are about 15 years newer than homes under 1,576 SF

2026-10-26T07:12:22.369947 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,576 SF 11 sales 1,576– 1,881 SF 11 sales 1,948– 2,533 SF 10 sales Over 2,533 SF 11 sales 1988 1992 1996 2000 1987 1992 1994 2002 Year built: median (dot) and middle half (bar)

The median is 2002 for homes over 2,533 SF and 1987 for homes under 1,576 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.4.

✓ Real difference · large

4.6 Days on market: no clear difference

2026-10-26T07:12:22.393117 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,576 SF 11 sales 1,576– 1,881 SF 11 sales 1,948– 2,533 SF 10 sales Over 2,533 SF 11 sales 0 20 40 21 38 39 34 Days on market, median

The median is 34 days for homes over 2,533 SF and 21 days for homes under 1,576 SF. It does not move in a straight line; homes 1,948–2,533 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-26T07:12:22.415733 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,576 SF 11 sales 1,576– 1,881 SF 11 sales 1,948– 2,533 SF 10 sales Over 2,533 SF 11 sales 0.0% 5.0% 10.0% 5.1% 10.7% 7.0% 5.5% Discount from original list, average

The average is 5.5% for homes over 2,533 SF and 5.1% for homes under 1,576 SF. It does not move in a straight line; homes 1,576–1,881 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

2026-10-26T07:12:22.442893 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 64 9 45 73 0 60 70 10 55 55 27 Under 1,576 SF 1,576–1,881 SF 1,948–2,533 SF Over 2,533 SF

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

  • 55% of homes over 2,533 SF had a price cut before sale, against 27% of homes under 1,576 SF. Defined in 8.1.7.
  • 55% of homes over 2,533 SF had the seller pay closing costs or repairs, against 64% of homes under 1,576 SF. Defined in 8.1.8.
  • 27% of homes over 2,533 SF have a view, against 9% of homes under 1,576 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 1,576 SF11 sales1,576–1,881 SF11 sales1,948–2,533 SF10 salesOver 2,533 SF11 salesAll43 salesReal difference?
Net sale price average$345,338$369,675$463,810$590,900$441,933✓ large
Net price per SF average$253$214$209$196$219✓ large
Living area average1,3731,7292,2282,9952,078by design
Year built median19871992199420021993✓ large

4.10 The numbers: selling

Under 1,576 SF11 sales1,576–1,881 SF11 sales1,948–2,533 SF10 salesOver 2,533 SF11 salesAll43 salesReal difference?
Days on market median2138393436unclear
Discount from original list average5.1%10.7%7.0%5.5%7.1%unclear
Price cut before sale27%45%60%55%47%unclear
Seller paid closing costs or repairs64%73%70%55%65%unclear
Has a view9%0%10%27%12%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 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.

2026-10-26T07:12:22.464539 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 11 9 12 11 43 sales Sales per group Before 1988: 11 sales (26%) 1988–1992: 9 sales (21%) 1993–1996: 12 sales (28%) After 1996: 11 sales (26%)
Bottom line

5.1 Key differences

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

Before 19881988–19921993–1996After 1996
Newer homes After 1996
  • Sell for much more.
  • Are much larger.
Older homes Before 1988
  • Sell for much less.
  • 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 19881988–19921993–1996After 1996Real difference?
Net sale price$363K$359KLowest$439K$591KHighest✓ large
Net price per SF$234 per SF$222 per SF$202 per SF$218 per SFunclear
Living area1,641 SF1,627 SFSmallest2,225 SF2,723 SFLargest✓ large
Days on market21 days45 days37 days34 daysunclear
Discount from original list7.9%9.1%6.3%5.4%unclear
Price cut before sale55%33%50%45%unclear
Seller paid closing costs or repairs55%78%75%55%unclear
Has a view0%11%0%36%unclear

5.3 Homes built after 1996 sell for about $228K (63%) more than homes built before 1988

2026-10-26T07:12:22.485471 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1988 11 sales 1988– 1992 9 sales 1993– 1996 12 sales After 1996 11 sales $0K $200K $400K $600K $363K $359K $439K $591K Net sale price, average

The average is $591K for homes built after 1996 and $363K for homes built before 1988. It does not move in a straight line; homes built after 1996 are highest. Defined in 8.1.1.

✓ Real difference · large

5.4 Net price per SF: no clear difference

2026-10-26T07:12:22.509446 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1988 11 sales 1988– 1992 9 sales 1993– 1996 12 sales After 1996 11 sales $0 $100 $200 $234 $222 $202 $218 Net price per SF, average

The average is $218 per SF for homes built after 1996 and $234 per SF for homes built before 1988. It does not move in a straight line; homes built before 1988 are highest. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Homes built after 1996 are about 1,080 SF (66%) larger than homes built before 1988

2026-10-26T07:12:22.531167 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1988 11 sales 1988– 1992 9 sales 1993– 1996 12 sales After 1996 11 sales 0 1,000 2,000 3,000 1,641 1,627 2,225 2,723 Living area (SF), average

The average is 2,723 SF for homes built after 1996 and 1,641 SF for homes built before 1988. It does not move in a straight line; homes built after 1996 are highest. Defined in 8.1.3.

✓ Real difference · large

5.6 Days on market: no clear difference

2026-10-26T07:12:22.553237 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1988 11 sales 1988– 1992 9 sales 1993– 1996 12 sales After 1996 11 sales 0 20 40 21 45 37 34 Days on market, median

The median is 34 days for homes built after 1996 and 21 days for homes built before 1988. It does not move in a straight line; homes built 1988–1992 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-10-26T07:12:22.576005 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1988 11 sales 1988– 1992 9 sales 1993– 1996 12 sales After 1996 11 sales 0.0% 5.0% 10.0% 7.9% 9.1% 6.3% 5.4% Discount from original list, average

The average is 5.4% for homes built after 1996 and 7.9% for homes built before 1988. It does not move in a straight line; homes built 1988–1992 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

2026-10-26T07:12:22.601979 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 55 0 33 78 11 50 75 0 45 55 36 Before 1988 1988–1992 1993–1996 After 1996

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

  • 45% of homes built after 1996 had a price cut before sale, against 55% of homes built before 1988. Defined in 8.1.7.
  • 55% of homes built after 1996 had the seller pay closing costs or repairs, against 55% of homes built before 1988. Defined in 8.1.8.
  • 36% of homes built after 1996 have a view, against 0% of homes built before 1988. 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 198811 sales1988–19929 sales1993–199612 salesAfter 199611 salesAll43 salesReal difference?
Net sale price average$363,204$359,480$439,173$591,136$441,933✓ large
Net price per SF average$234$222$202$218$219unclear
Living area average1,6411,6272,2252,7232,078✓ large
Year built median19861989199420021993by design

5.10 The numbers: selling

Before 198811 sales1988–19929 sales1993–199612 salesAfter 199611 salesAll43 salesReal difference?
Days on market median2145373436unclear
Discount from original list average7.9%9.1%6.3%5.4%7.1%unclear
Price cut before sale55%33%50%45%47%unclear
Seller paid closing costs or repairs55%78%75%55%65%unclear
Has a view0%11%0%36%12%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 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. 1 sales whose MLS view entry is only “See Remarks” are left out.

2026-10-26T07:12:22.621199 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 37 42 sales Sales per group View: 5 sales (12%) No view: 37 sales (88%)
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$599K$420Kunclear
Net price per SF$223 per SF$219 per SFunclear
Living area2,676 SF1,988 SFunclear
Year built20021992unclear
Days on market21 days36 daysunclear
Discount from original list3.5%7.5%unclear
Price cut before sale40%46%unclear
Seller paid closing costs or repairs60%65%unclear

6.3 Net sale price: no clear difference

2026-10-26T07:12:22.637284 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 37 sales $0K $200K $400K $600K $599K $420K Net sale price, average

The average is $599K for homes with a view and $420K 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

2026-10-26T07:12:22.655339 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 37 sales $0 $100 $200 $223 $219 Net price per SF, average

The average is $223 per SF for homes with a view and $219 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

2026-10-26T07:12:22.673368 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 37 sales 0 1,000 2,000 3,000 2,676 1,988 Living area (SF), average

The average is 2,676 SF for homes with a view and 1,988 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-26T07:12:22.744016 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 37 sales 1988 1992 1996 2000 2002 1992 Year built: median (dot) and middle half (bar)

The median is 2002 for homes with a view and 1992 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-26T07:12:22.763267 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 37 sales 0 10 20 30 40 21 36 Days on market, median

The median is 21 days for homes with a view and 36 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

2026-10-26T07:12:22.783262 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 37 sales 0.0% 2.0% 4.0% 6.0% 8.0% 3.5% 7.5% Discount from original list, average

The average is 3.5% for homes with a view and 7.5% 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

2026-10-26T07:12:22.802865 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 40 60 46 65 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 46% of homes without a view. Defined in 8.1.7.
  • 60% of homes with a view had the seller pay closing costs or repairs, against 65% 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 view37 salesAll42 salesReal difference?
Net sale price average$599,054$420,348$441,622unclear
Net price per SF average$223$219$219unclear
Living area average2,6761,9882,070unclear
Year built median200219921993unclear

6.11 The numbers: selling

View5 salesNo view37 salesAll42 salesReal difference?
Days on market median213635unclear
Discount from original list average3.5%7.5%7.0%unclear
Price cut before sale40%46%45%unclear
Seller paid closing costs or repairs60%65%64%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 Anderson Mill West Sec 03.

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 $441,933; median $422,500; standard deviation $131,492; middle half (25th–75th percentile) $364,000–$485,750; lowest $210,000, highest $897,000. 28 sales had a seller payment; their median payment was $5,000.

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 $219; median $220; standard deviation $38; middle half (25th–75th percentile) $194–$244; lowest $131, highest $293.

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 2,078; median 1,881; standard deviation 657; middle half (25th–75th percentile) 1,566–2,598; lowest 939, highest 3,603.

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 1993; median 1993; standard deviation 6; middle half (25th–75th percentile) 1988–1997; lowest 1985, highest 2003.

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 67; median 36; standard deviation 77; middle half (25th–75th percentile) 14–100; lowest 3, highest 293. 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 7.1%; median 4.8%; standard deviation 7.7%; middle half (25th–75th percentile) 2.6%–11.4%; lowest −5.2%, highest 31.1%. 5 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
20 of 43 resale sales (46.5%).

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
28 of 43 resale sales (65.1%).

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, 37 without, 1 unclassified. Most common View entries: None 30, Neighborhood 9, Trees/Woods 3, Hill Country 2, City 1, See Remarks 1, Park/Greenbelt 1.

8.2 Methods

8.2.1 Data source

In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
Bridge Interactive RESO Web API (OData), ABOR dataset, every field returned. Filter: StandardStatus = Closed, PropertyType = Residential, City = Cedar Park, SubdivisionName contains any of “anderson mill west”, “oakwood glen”, “oakwood glen south”, “oakwood glen sub” (case-insensitive). A record is kept when its subdivision name belongs to the Anderson Mill West Sec 03 family, the same rule comparable sales use (it includes Oakwood Glen Sub, Oakwood Glen South, proven adjacent and priced alike).
The data
Pulled October 26, 2026: 43 closed Anderson Mill West Sec 03 records over the prior year, in ZIP 78613. 18 subdivision spellings kept, the most common: Anderson Mill West Sec 19 (6); Anderson Mill West Sec 01 (5); Anderson Mill West Sec 03 (5); Anderson Mill West Sec 21 (4); Oakwood Glen South (3); Anderson Mill West Sec 02 (3); Anderson Mill West Sec 14 (2); Anderson Mill West Sec 05 (2); Anderson Mill West Sec 15 (2); Anderson Mill West Sec 17 (2); Anderson Mill West Sec 06 (2); Anderson Mill West Sec 04 (1); and 6 more (6 records). Names found by the search but not part of Anderson Mill West Sec 03, left out: Anderson Mill West, Volente Hills (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 23 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 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
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 $365K”.
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 $365K: $210,000–$363,000 (11 sales); $365K–$422K: $365,000–$422,500 (11 sales); $428K–$486K: $427,500–$485,500 (10 sales); Over $486K: $486,000–$897,000 (11 sales)
Quartiles by living area: Under 1,576 SF: 939–1,555 SF (11 sales); 1,576–1,881 SF: 1,576–1,881 SF (11 sales); 1,948–2,533 SF: 1,948–2,533 SF (10 sales); Over 2,533 SF: 2,662–3,603 SF (11 sales)
Quartiles by year built: Before 1988: 1985–1987 (11 sales); 1988–1992: 1988–1992 (9 sales); 1993–1996: 1993–1996 (12 sales); After 1996: 1998–2003 (11 sales)
View and no view: View: MLS lists a view (5 sales); No view: None or Neighborhood (37 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 $441,933, median $422,500. Days on market: average 67, median 36: 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
7 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 = 2.0530.5622p < 0.0063Unclearε² = 0.049small
Living areaKruskal–WallisH = 26.993< 0.0001p < 0.0063Yesε² = 0.643large
Year builtKruskal–WallisH = 19.6430.0002p < 0.0063Yesε² = 0.468large
Days on marketKruskal–WallisH = 1.6130.6567p < 0.0063Unclearε² = 0.038small
Discount from original listKruskal–WallisH = 2.7830.4274p < 0.0063Unclearε² = 0.066medium
Price cut before saleChi-squareχ² = 1.2030.7538p < 0.0063UnclearCramér’s V = 0.167small
Seller paid closing costs or repairsChi-squareχ² = 3.1830.3649p < 0.0063UnclearCramér’s V = 0.272small
Has a viewChi-squareχ² = 4.1630.2445p < 0.0063UnclearCramér’s V = 0.311medium

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 30.743< 0.0001p < 0.0063Yesε² = 0.732large
Net price per SFKruskal–WallisH = 13.8930.0031p < 0.0063Yesε² = 0.331large
Year builtKruskal–WallisH = 20.0530.0002p < 0.0063Yesε² = 0.477large
Days on marketKruskal–WallisH = 0.4230.9363p < 0.0063Unclearε² = 0.010negligible
Discount from original listKruskal–WallisH = 3.2430.3557p < 0.0063Unclearε² = 0.077medium
Price cut before saleChi-squareχ² = 2.6630.4474p < 0.0063UnclearCramér’s V = 0.249small
Seller paid closing costs or repairsChi-squareχ² = 0.9430.8164p < 0.0063UnclearCramér’s V = 0.148small
Has a viewChi-squareχ² = 4.1630.2445p < 0.0063UnclearCramér’s V = 0.311medium

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 24.583< 0.0001p < 0.0063Yesε² = 0.585large
Net price per SFKruskal–WallisH = 5.2930.1520p < 0.0063Unclearε² = 0.126medium
Living areaKruskal–WallisH = 21.163< 0.0001p < 0.0063Yesε² = 0.504large
Days on marketKruskal–WallisH = 0.1330.9885p < 0.0063Unclearε² = 0.003negligible
Discount from original listKruskal–WallisH = 1.1030.7774p < 0.0063Unclearε² = 0.026small
Price cut before saleChi-squareχ² = 0.9830.8068p < 0.0063UnclearCramér’s V = 0.151small
Seller paid closing costs or repairsChi-squareχ² = 2.2330.5254p < 0.0063UnclearCramér’s V = 0.228small
Has a viewChi-squareχ² = 9.5830.0225p < 0.0063UnclearCramér’s V = 0.472medium

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 141.00—0.0623p < 0.0063Unclearrank-biserial r = 0.524large
Net price per SFMann–Whitney UU = 96.00—0.9101p < 0.0063Unclearrank-biserial r = 0.038negligible
Living areaMann–Whitney UU = 136.00—0.0958p < 0.0063Unclearrank-biserial r = 0.470medium
Year builtMann–Whitney UU = 155.50—0.0148p < 0.0063Unclearrank-biserial r = 0.681large
Days on marketMann–Whitney UU = 80.50—0.6550p < 0.0063Unclearrank-biserial r = 0.130small
Discount from original listMann–Whitney UU = 61.00—0.2366p < 0.0063Unclearrank-biserial r = 0.341medium
Price cut before saleChi-squareχ² = 0.0610.8020p < 0.0063UnclearCramér’s V = 0.039negligible
Seller paid closing costs or repairsChi-squareχ² = 0.0510.8313p < 0.0063UnclearCramér’s V = 0.033negligible

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 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 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.