ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Anderson Mill West

Cedar Park, TX 78613
Resale homes · closed Nov 8 – Nov 7, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
November 8, 2026 · 7:13 AM CST
MARKET STUDY All analysis covers resale homes only. New construction appears once, in its own section. Click any dot on the map for that sale.
Resale sales, 365 days
42
single-family resale homes
Median net sale price
$421,125
average $438,958
Median net price per SF
$219
average $218
Median days on market
37 days
average 68 days
1. SummaryResale homes · 42 sales · November 8, 2025 – November 7, 2026

This study looks at the 42 resale homes sold in Anderson Mill West in the 365 days to November 7, 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 sold42 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 $363K · 10 sales$363K–$420K · 11 sales$422K–$486K · 11 salesOver $486K · 10 sales
3. Quartiles by net sale priceResale homes · 42 sales · November 8, 2025 – November 7, 2026

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

2026-11-08T07:13:38.433435 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 10 11 11 10 42 sales Sales per group Under $363K: 10 sales (24%) $363K–$420K: 11 sales (26%) $422K–$486K: 11 sales (26%) Over $486K: 10 sales (24%)
Bottom line

3.1 Key differences

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

Under $363K$363K–$420K$422K–$486KOver $486K
Higher-priced homes Over $486K
  • Are much larger.
  • Tend to be newer.
Lower-priced homes Under $363K
  • 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 $363K$363K–$420K$422K–$486KOver $486KReal difference?
Net price per SF$226 per SF$231 per SF$194 per SF$221 per SFunclear
Living area1,450 SFSmallest1,677 SF2,396 SF2,748 SFLargest✓ large
Year built1986Oldest198919942001Newest✓ large
Days on market40 days38 days36 days36 daysunclear
Discount from original list11.6%6.6%6.6%3.6%unclear
Price cut before sale50%27%64%50%unclear
Seller paid closing costs or repairs80%64%55%70%unclear
Has a view10%0%9%30%unclear

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

3.3 Net price per SF: no clear difference

2026-11-08T07:13:38.462501 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $363K 10 sales $363K– $420K 11 sales $422K– $486K 11 sales Over $486K 10 sales $0 $100 $200 $226 $231 $194 $221 Net price per SF, average

The average is $221 per SF for homes over $486K and $226 per SF for homes under $363K. It does not move in a straight line; homes $363K–$420K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Homes over $486K are about 1,300 SF (90%) larger than homes under $363K

2026-11-08T07:13:38.485163 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $363K 10 sales $363K– $420K 11 sales $422K– $486K 11 sales Over $486K 10 sales 0 1,000 2,000 3,000 1,450 1,677 2,396 2,748 Living area (SF), average

The average is 2,748 SF for homes over $486K and 1,450 SF for homes under $363K. 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 14 years newer than homes under $363K

2026-11-08T07:13:38.509717 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $363K 10 sales $363K– $420K 11 sales $422K– $486K 11 sales Over $486K 10 sales 1988 1992 1996 2000 1986 1989 1994 2001 Year built: median (dot) and middle half (bar)

The median is 2001 for homes over $486K and 1986 for homes under $363K. 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

2026-11-08T07:13:38.532887 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $363K 10 sales $363K– $420K 11 sales $422K– $486K 11 sales Over $486K 10 sales 0 20 40 40 38 36 36 Days on market, median

The median is 36 days for homes over $486K and 40 days for homes under $363K. It does not move in a straight line; homes under $363K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-11-08T07:13:38.554900 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $363K 10 sales $363K– $420K 11 sales $422K– $486K 11 sales Over $486K 10 sales 0.0% 5.0% 10.0% 11.6% 6.6% 6.6% 3.6% Discount from original list, average

The average is 3.6% for homes over $486K and 11.6% for homes under $363K. 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

2026-11-08T07:13:38.584367 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% 80% 10% 27% 64% 0% 64% 55% 9% 50% 70% 30% Under $363K $363K–$420K $422K–$486K Over $486K

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

  • 50% of homes over $486K had a price cut before sale, against 50% of homes under $363K. Defined in 8.1.7.
  • 70% of homes over $486K had the seller pay closing costs or repairs, against 80% of homes under $363K. Defined in 8.1.8.
  • 30% of homes over $486K have a view, against 10% of homes under $363K. 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 $363K10 sales$363K–$420K11 sales$422K–$486K11 salesOver $486K10 salesAll42 salesReal difference?
Net sale price average$319,239$382,068$451,586$607,365$438,958by design
Net price per SF average$226$231$194$221$218unclear
Living area average1,4501,6772,3962,7482,066✓ large
Year built median19861989199420011992✓ large

3.10 The numbers: selling

Under $363K10 sales$363K–$420K11 sales$422K–$486K11 salesOver $486K10 salesAll42 salesReal difference?
Days on market median4038363637unclear
Discount from original list average11.6%6.6%6.6%3.6%7.1%unclear
Price cut before sale50%27%64%50%48%unclear
Seller paid closing costs or repairs80%64%55%70%67%unclear
Has a view10%0%9%30%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 · 42 sales · November 8, 2025 – November 7, 2026

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

2026-11-08T07:13:38.606102 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 10 11 11 10 42 sales Sales per group Under 1,555 SF: 10 sales (24%) 1,555–1,881 SF: 11 sales (26%) 1,948–2,533 SF: 11 sales (26%) Over 2,533 SF: 10 sales (24%)
Bottom line

4.1 Key differences

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

Under 1,555 SF1,555–1,881 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 1,555 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 1,555 SF1,555–1,881 SF1,948–2,533 SFOver 2,533 SFReal difference?
Net sale price$344KLowest$362K$462K$593KHighest✓ large
Net price per SF$255 per SFHighest$211 per SF$207 per SF$199 per SFLowest✓ large
Year built1986Oldest199119942001Newest✓ large
Days on market21 days38 days39 days64 daysunclear
Discount from original list5.3%10.9%6.1%5.6%unclear
Price cut before sale30%45%55%60%unclear
Seller paid closing costs or repairs60%82%73%50%unclear
Has a view10%0%9%30%unclear

4.3 Homes over 2,533 SF sell for about $250K (73%) more than homes under 1,555 SF

2026-11-08T07:13:38.627343 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,555 SF 10 sales 1,555– 1,881 SF 11 sales 1,948– 2,533 SF 11 sales Over 2,533 SF 10 sales $0K $200K $400K $600K $344K $362K $462K $593K Net sale price, average

The average is $593K for homes over 2,533 SF and $344K for homes under 1,555 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 $56 per SF (22%) less than homes under 1,555 SF

2026-11-08T07:13:38.652041 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,555 SF 10 sales 1,555– 1,881 SF 11 sales 1,948– 2,533 SF 11 sales Over 2,533 SF 10 sales $0 $100 $200 $300 $255 $211 $207 $199 Net price per SF, average

The average is $199 per SF for homes over 2,533 SF and $255 per SF for homes under 1,555 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 14 years newer than homes under 1,555 SF

2026-11-08T07:13:38.677818 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,555 SF 10 sales 1,555– 1,881 SF 11 sales 1,948– 2,533 SF 11 sales Over 2,533 SF 10 sales 1988 1992 1996 2000 1986 1991 1994 2001 Year built: median (dot) and middle half (bar)

The median is 2001 for homes over 2,533 SF and 1986 for homes under 1,555 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

2026-11-08T07:13:38.702892 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,555 SF 10 sales 1,555– 1,881 SF 11 sales 1,948– 2,533 SF 11 sales Over 2,533 SF 10 sales 0 20 40 60 21 38 39 64 Days on market, median

The median is 64 days for homes over 2,533 SF and 21 days for homes under 1,555 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-11-08T07:13:38.726876 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,555 SF 10 sales 1,555– 1,881 SF 11 sales 1,948– 2,533 SF 11 sales Over 2,533 SF 10 sales 0.0% 5.0% 10.0% 5.3% 10.9% 6.1% 5.6% Discount from original list, average

The average is 5.6% for homes over 2,533 SF and 5.3% for homes under 1,555 SF. It does not move in a straight line; homes 1,555–1,881 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

2026-11-08T07:13:38.753025 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% 30% 60% 10% 45% 82% 0% 55% 73% 9% 60% 50% 30% Under 1,555 SF 1,555–1,881 SF 1,948–2,533 SF Over 2,533 SF

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

  • 60% of homes over 2,533 SF had a price cut before sale, against 30% of homes under 1,555 SF. Defined in 8.1.7.
  • 50% of homes over 2,533 SF had the seller pay closing costs or repairs, against 60% of homes under 1,555 SF. Defined in 8.1.8.
  • 30% of homes over 2,533 SF have a view, against 10% of homes under 1,555 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 1,555 SF10 sales1,555–1,881 SF11 sales1,948–2,533 SF11 salesOver 2,533 SF10 salesAll42 salesReal difference?
Net sale price average$343,571$362,402$462,100$593,100$438,958✓ large
Net price per SF average$255$211$207$199$218✓ large
Living area average1,3541,7192,2522,9552,066by design
Year built median19861991199420011992✓ large

4.10 The numbers: selling

Under 1,555 SF10 sales1,555–1,881 SF11 sales1,948–2,533 SF11 salesOver 2,533 SF10 salesAll42 salesReal difference?
Days on market median2138396437unclear
Discount from original list average5.3%10.9%6.1%5.6%7.1%unclear
Price cut before sale30%45%55%60%48%unclear
Seller paid closing costs or repairs60%82%73%50%67%unclear
Has a view10%0%9%30%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 · 42 sales · November 8, 2025 – November 7, 2026

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

2026-11-08T07:13:38.775163 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 8 13 12 9 42 sales Sales per group Before 1987: 8 sales (19%) 1987–1992: 13 sales (31%) 1993–1996: 12 sales (29%) After 1996: 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 19871987–19921993–1996After 1996
Newer homes After 1996
  • Sell for much more.
  • Are much larger.
Older homes Before 1987
  • 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 19871987–19921993–1996After 1996Real difference?
Net sale price$367K$364KLowest$439K$610KHighest✓ large
Net price per SF$245 per SF$215 per SF$202 per SF$218 per SFunclear
Living area1,527 SFSmallest1,766 SF2,225 SF2,766 SFLargest✓ large
Days on market21 days45 days37 days39 daysunclear
Discount from original list6.1%9.1%6.3%6.1%unclear
Price cut before sale38%46%50%56%unclear
Seller paid closing costs or repairs75%62%75%56%unclear
Has a view0%8%0%44%unclear

5.3 Homes built after 1996 sell for about $243K (66%) more than homes built before 1987

2026-11-08T07:13:38.796291 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1987 8 sales 1987– 1992 13 sales 1993– 1996 12 sales After 1996 9 sales $0K $200K $400K $600K $367K $364K $439K $610K Net sale price, average

The average is $610K for homes built after 1996 and $367K for homes built before 1987. 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

2026-11-08T07:13:38.820393 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1987 8 sales 1987– 1992 13 sales 1993– 1996 12 sales After 1996 9 sales $0 $100 $200 $245 $215 $202 $218 Net price per SF, average

The average is $218 per SF for homes built after 1996 and $245 per SF for homes built before 1987. It does not move in a straight line; homes built before 1987 are highest. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Homes built after 1996 are about 1,240 SF (81%) larger than homes built before 1987

2026-11-08T07:13:38.842577 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1987 8 sales 1987– 1992 13 sales 1993– 1996 12 sales After 1996 9 sales 0 1,000 2,000 3,000 1,527 1,766 2,225 2,766 Living area (SF), average

The average is 2,766 SF for homes built after 1996 and 1,527 SF for homes built before 1987. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

✓ Real difference · large

5.6 Days on market: no clear difference

2026-11-08T07:13:38.865743 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1987 8 sales 1987– 1992 13 sales 1993– 1996 12 sales After 1996 9 sales 0 20 40 21 45 37 39 Days on market, median

The median is 39 days for homes built after 1996 and 21 days for homes built before 1987. It does not move in a straight line; homes built 1987–1992 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-11-08T07:13:38.890188 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1987 8 sales 1987– 1992 13 sales 1993– 1996 12 sales After 1996 9 sales 0.0% 5.0% 10.0% 6.1% 9.1% 6.3% 6.1% Discount from original list, average

The average is 6.1% for homes built after 1996 and 6.1% for homes built before 1987. It does not move in a straight line; homes built 1987–1992 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

2026-11-08T07:13:38.916537 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% 75% 0% 46% 62% 8% 50% 75% 0% 56% 56% 44% Before 1987 1987–1992 1993–1996 After 1996

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

  • 56% of homes built after 1996 had a price cut before sale, against 38% of homes built before 1987. Defined in 8.1.7.
  • 56% of homes built after 1996 had the seller pay closing costs or repairs, against 75% of homes built before 1987. Defined in 8.1.8.
  • 44% of homes built after 1996 have a view, against 0% of homes built before 1987. 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 19878 sales1987–199213 sales1993–199612 salesAfter 19969 salesAll42 salesReal difference?
Net sale price average$367,155$364,486$439,173$610,067$438,958✓ large
Net price per SF average$245$215$202$218$218unclear
Living area average1,5271,7662,2252,7662,066✓ large
Year built median19861989199420021992by design

5.10 The numbers: selling

Before 19878 sales1987–199213 sales1993–199612 salesAfter 19969 salesAll42 salesReal difference?
Days on market median2145373937unclear
Discount from original list average6.1%9.1%6.3%6.1%7.1%unclear
Price cut before sale38%46%50%56%48%unclear
Seller paid closing costs or repairs75%62%75%56%67%unclear
Has a view0%8%0%44%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 · 42 sales · November 8, 2025 – November 7, 2026

Sales where the MLS lists a view (greenbelt or park, trees, golf course, hill country, water and similar) against those listing none or only the neighborhood. 1 sales whose MLS view entry is only “See Remarks” are left out.

2026-11-08T07:13:38.935486 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 36 41 sales Sales per group View: 5 sales (12%) No view: 36 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$416Kunclear
Net price per SF$223 per SF$218 per SFunclear
Living area2,676 SF1,972 SFunclear
Year built20021992unclear
Days on market21 days37 daysunclear
Discount from original list3.5%7.5%unclear
Price cut before sale40%47%unclear
Seller paid closing costs or repairs60%67%unclear

6.3 Net sale price: no clear difference

2026-11-08T07:13:38.953453 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 36 sales $0K $200K $400K $600K $599K $416K Net sale price, average

The average is $599K for homes with a view and $416K 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

2026-11-08T07:13:38.972448 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 36 sales $0 $100 $200 $223 $218 Net price per SF, average

The average is $223 per SF for homes with a view and $218 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

2026-11-08T07:13:38.990440 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 36 sales 0 1,000 2,000 3,000 2,676 1,972 Living area (SF), average

The average is 2,676 SF for homes with a view and 1,972 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-11-08T07:13:39.038236 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 36 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

2026-11-08T07:13:39.057808 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 36 sales 0 10 20 30 40 21 37 Days on market, median

The median is 21 days for homes with a view and 37 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

2026-11-08T07:13:39.077614 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 36 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

2026-11-08T07:13:39.097645 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 40% 60% 47% 67% 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 47% 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 67% 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 view36 salesAll41 salesReal difference?
Net sale price average$599,054$416,277$438,567unclear
Net price per SF average$223$218$218unclear
Living area average2,6761,9722,058unclear
Year built median200219921992unclear

6.11 The numbers: selling

View5 salesNo view36 salesAll41 salesReal difference?
Days on market median213736unclear
Discount from original list average3.5%7.5%7.0%unclear
Price cut before sale40%47%46%unclear
Seller paid closing costs or repairs60%67%66%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 · November 8, 2025 – November 7, 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.

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
42 resale sales. Average $438,958; median $421,125; standard deviation $131,567; middle half (25th–75th percentile) $363,500–$485,375; 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
42 resale sales. Average $218; median $219; standard deviation $38; middle half (25th–75th percentile) $193–$241; 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
42 resale sales. Average 2,066; median 1,914; standard deviation 633; middle half (25th–75th percentile) 1,560–2,531; 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
42 resale sales. Average 1993; median 1992; standard deviation 6; middle half (25th–75th percentile) 1987–1996; 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
42 resale sales. Average 68; median 37; standard deviation 78; middle half (25th–75th percentile) 14–101; 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
42 resale sales. Average 7.1%; median 4.8%; standard deviation 7.8%; middle half (25th–75th percentile) 2.5%–11.5%; lowest −5.2%, highest 31.1%. 6 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 42 resale sales (47.6%).

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
28 of 42 resale sales (66.7%).

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
5 sales with a view, 36 without, 1 unclassified. Most common View entries: None 28, Neighborhood 10, Trees/Woods 3, Hill Country 2, Park/Greenbelt 1, City 1, See Remarks 1.

8.2 Methods

8.2.1 Data source

In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
ABOR MLS via secure APIs, read from ALEX's copy of the MLS (refreshed every 15 minutes; this pull as of 2026-11-08 13:00 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Cedar Park, SubdivisionName contains any of “anderson mill west”, “oakwood glen”, “oakwood glen south” (case-insensitive). A record is kept when its subdivision name belongs to the Anderson Mill West family, the same rule comparable sales use (it includes Oakwood Glen, Oakwood Glen South, proven adjacent and priced alike).
The data
Pulled November 8, 2026: 42 closed Anderson Mill West records over the prior year, in ZIP 78613. 18 subdivision spellings kept, the most common: Anderson Mill West Sec 03 (6); Anderson Mill West Sec 01 (5); Anderson Mill West Sec 19 (5); Anderson Mill West Sec 21 (4); Anderson Mill West Sec 02 (3); Anderson Mill West Sec 06 (2); Anderson Mill West Sec 17 (2); Anderson Mill West Sec 15 (2); Anderson Mill West Sec 05 (2); Anderson Mill West Sec 14 (2); Oakwood Glen South (2); Anderson Mill West Sec 04 (1); and 6 more (6 records). Names found by the search but not part of Anderson Mill West, 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 November 8, 2025 to November 7, 2026 inclusive.
The data
42 single-family sales in the window: 42 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
42 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 $363K”.
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 $363K: $210,000–$355,000 (10 sales); $363K–$420K: $363,000–$419,750 (11 sales); $422K–$486K: $422,500–$485,500 (11 sales); Over $486K: $486,000–$897,000 (10 sales)
Quartiles by living area: Under 1,555 SF: 939–1,554 SF (10 sales); 1,555–1,881 SF: 1,555–1,881 SF (11 sales); 1,948–2,533 SF: 1,948–2,533 SF (11 sales); Over 2,533 SF: 2,662–3,603 SF (10 sales)
Quartiles by year built: Before 1987: 1985–1986 (8 sales); 1987–1992: 1987–1992 (13 sales); 1993–1996: 1993–1996 (12 sales); After 1996: 1998–2003 (9 sales)
View and no view: View: MLS lists a view (5 sales); No view: None or Neighborhood (36 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 $438,958, median $421,125. Days on market: average 68, median 37: 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 = 6.8030.0785p < 0.0063Unclearε² = 0.166large
Living areaKruskal–WallisH = 29.193< 0.0001p < 0.0063Yesε² = 0.712large
Year builtKruskal–WallisH = 17.8630.0005p < 0.0063Yesε² = 0.436large
Days on marketKruskal–WallisH = 0.2130.9761p < 0.0063Unclearε² = 0.005negligible
Discount from original listKruskal–WallisH = 3.3930.3360p < 0.0063Unclearε² = 0.083medium
Price cut before saleChi-squareχ² = 3.0030.3912p < 0.0063UnclearCramér’s V = 0.267small
Seller paid closing costs or repairsChi-squareχ² = 1.6230.6542p < 0.0063UnclearCramér’s V = 0.197small
Has a viewChi-squareχ² = 4.7330.1930p < 0.0063UnclearCramér’s V = 0.335medium

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 30.753< 0.0001p < 0.0063Yesε² = 0.750large
Net price per SFKruskal–WallisH = 14.2530.0026p < 0.0063Yesε² = 0.347large
Year builtKruskal–WallisH = 18.7530.0003p < 0.0063Yesε² = 0.457large
Days on marketKruskal–WallisH = 0.4230.9357p < 0.0063Unclearε² = 0.010small
Discount from original listKruskal–WallisH = 3.1430.3711p < 0.0063Unclearε² = 0.076medium
Price cut before saleChi-squareχ² = 2.0930.5537p < 0.0063UnclearCramér’s V = 0.223small
Seller paid closing costs or repairsChi-squareχ² = 2.7730.4288p < 0.0063UnclearCramér’s V = 0.257small
Has a viewChi-squareχ² = 4.7330.1930p < 0.0063UnclearCramér’s V = 0.335medium

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 22.423< 0.0001p < 0.0063Yesε² = 0.547large
Net price per SFKruskal–WallisH = 6.8030.0786p < 0.0063Unclearε² = 0.166large
Living areaKruskal–WallisH = 21.483< 0.0001p < 0.0063Yesε² = 0.524large
Days on marketKruskal–WallisH = 0.3130.9581p < 0.0063Unclearε² = 0.008negligible
Discount from original listKruskal–WallisH = 0.9930.8032p < 0.0063Unclearε² = 0.024small
Price cut before saleChi-squareχ² = 0.5930.8978p < 0.0063UnclearCramér’s V = 0.119small
Seller paid closing costs or repairsChi-squareχ² = 1.2830.7342p < 0.0063UnclearCramér’s V = 0.174small
Has a viewChi-squareχ² = 12.0130.0074p < 0.0063UnclearCramér’s V = 0.535large

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 138.00—0.0584p < 0.0063Unclearrank-biserial r = 0.533large
Net price per SFMann–Whitney UU = 96.00—0.8318p < 0.0063Unclearrank-biserial r = 0.067negligible
Living areaMann–Whitney UU = 135.00—0.0758p < 0.0063Unclearrank-biserial r = 0.500large
Year builtMann–Whitney UU = 154.00—0.0111p < 0.0063Unclearrank-biserial r = 0.711large
Days on marketMann–Whitney UU = 77.50—0.6325p < 0.0063Unclearrank-biserial r = 0.139small
Discount from original listMann–Whitney UU = 61.00—0.2652p < 0.0063Unclearrank-biserial r = 0.322medium
Price cut before saleChi-squareχ² = 0.0910.7615p < 0.0063UnclearCramér’s V = 0.047negligible
Seller paid closing costs or repairsChi-squareχ² = 0.0910.7683p < 0.0063UnclearCramér’s V = 0.046negligible

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 42 closed MLS resale sales; the 0 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled November 8, 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.