ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Silverado West

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 · 4:49 AM CDT
MARKET STUDY All analysis covers resale homes only. New construction appears once, in its own section. Click any dot on the map for that sale.
Resale sales, 365 days
21
single-family resale homes
Median net sale price
$567,806
average $586,572
Median net price per SF
$195
average $193
Median days on market
19 days
average 69 days
1. SummaryResale homes · 21 sales · October 26, 2025 – October 25, 2026

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

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

2. Where the resale homes sold21 resale homes · colored by price range

Each dot is one resale home, colored by its price range. Use the buttons to show one price range at a time. Click a dot for that sale: address, close date, original and last list price, net sale price, living area, net sale per SF and days on market. Scroll or pinch to zoom.

Under $520K · 5 sales$520K–$560K · 5 sales$568K–$643K · 6 salesOver $643K · 5 sales
3. Quartiles by net sale priceResale homes · 21 sales · October 26, 2025 – October 25, 2026

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

2026-10-26T04:49:38.300533 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 6 5 21 sales Sales per group Under $520K: 5 sales (24%) $520K–$560K: 5 sales (24%) $568K–$643K: 6 sales (29%) Over $643K: 5 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 $520K$520K–$560K$568K–$643KOver $643K
Higher-priced homes Over $643K
  • Are much larger.
Lower-priced homes Under $520K
  • 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 $520K$520K–$560K$568K–$643KOver $643KReal difference?
Net price per SF$205 per SF$214 per SF$191 per SF$163 per SFunclear
Living area2,216 SFSmallest2,532 SF3,252 SF4,730 SFLargest✓ large
Year built2007200820082006unclear
Days on market19 days123 days10 days27 daysunclear
Discount from original list4.1%4.8%1.6%3.3%unclear
Price cut before sale40%40%0%40%unclear
Seller paid closing costs or repairs40%40%83%60%unclear
Has a view0%20%33%0%unclear

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

3.3 Net price per SF: no clear difference

2026-10-26T04:49:38.329039 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $520K 5 sales $520K– $560K 5 sales $568K– $643K 6 sales Over $643K 5 sales $0 $100 $200 $205 $214 $191 $163 Net price per SF, average

The average is $163 per SF for homes over $643K and $205 per SF for homes under $520K. It does not move in a straight line; homes $520K–$560K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Homes over $643K are about 2,510 SF (113%) larger than homes under $520K

2026-10-26T04:49:38.351745 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $520K 5 sales $520K– $560K 5 sales $568K– $643K 6 sales Over $643K 5 sales 0 2,000 4,000 2,216 2,532 3,252 4,730 Living area (SF), average

The average is 4,730 SF for homes over $643K and 2,216 SF for homes under $520K. 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

2026-10-26T04:49:38.375670 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $520K 5 sales $520K– $560K 5 sales $568K– $643K 6 sales Over $643K 5 sales 2006 2007 2008 2009 2007 2008 2008 2006 Year built: median (dot) and middle half (bar)

The median is 2006 for homes over $643K and 2007 for homes under $520K. It does not move in a straight line; homes $568K–$643K are highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-10-26T04:49:38.398800 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $520K 5 sales $520K– $560K 5 sales $568K– $643K 6 sales Over $643K 5 sales 0 50 100 19 123 10 27 Days on market, median

The median is 27 days for homes over $643K and 19 days for homes under $520K. It does not move in a straight line; homes $520K–$560K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-26T04:49:38.421059 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $520K 5 sales $520K– $560K 5 sales $568K– $643K 6 sales Over $643K 5 sales 0.0% 2.0% 4.0% 4.1% 4.8% 1.6% 3.3% Discount from original list, average

The average is 3.3% for homes over $643K and 4.1% for homes under $520K. It does not move in a straight line; homes $520K–$560K 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

2026-10-26T04:49:38.450547 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 40 40 0 40 40 20 0 83 33 40 60 0 Under $520K $520K–$560K $568K–$643K Over $643K

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

  • 40% of homes over $643K had a price cut before sale, against 40% of homes under $520K. Defined in 8.1.7.
  • 60% of homes over $643K had the seller pay closing costs or repairs, against 40% of homes under $520K. Defined in 8.1.8.
  • 0% of homes over $643K have a view, against 0% of homes under $520K. 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 $520K5 sales$520K–$560K5 sales$568K–$643K6 salesOver $643K5 salesAll21 salesReal difference?
Net sale price average$435,300$537,030$612,676$756,060$586,572by design
Net price per SF average$205$214$191$163$193unclear
Living area average2,2162,5323,2524,7303,186✓ large
Year built median20072008200820062008unclear

3.10 The numbers: selling

Under $520K5 sales$520K–$560K5 sales$568K–$643K6 salesOver $643K5 salesAll21 salesReal difference?
Days on market median19123102719unclear
Discount from original list average4.1%4.8%1.6%3.3%3.4%unclear
Price cut before sale40%40%0%40%29%unclear
Seller paid closing costs or repairs40%40%83%60%57%unclear
Has a view0%20%33%0%14%unclear

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.1.

4. Quartiles by living areaResale homes · 21 sales · October 26, 2025 – October 25, 2026

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

2026-10-26T04:49:38.471007 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 6 5 21 sales Sales per group Under 2,422 SF: 5 sales (24%) 2,422–2,836 SF: 5 sales (24%) 3,069–3,678 SF: 6 sales (29%) Over 3,678 SF: 5 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 2,422 SF2,422–2,836 SF3,069–3,678 SFOver 3,678 SF
Larger homes Over 3,678 SF
  • Sell for much more.
  • Sell for less per square foot.
Smaller homes Under 2,422 SF
  • Sell for much less.
  • Sell for more per square foot.

4.2 At a glance

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

Under 2,422 SF2,422–2,836 SF3,069–3,678 SFOver 3,678 SFReal difference?
Net sale price$462KLowest$536K$591K$756KHighest✓ large
Net price per SF$235 per SFHighest$203 per SF$176 per SF$163 per SFLowest✓ large
Year built2008200720082006unclear
Days on market19 days292 days12 days27 daysunclear
Discount from original list2.0%5.6%2.7%3.3%unclear
Price cut before sale20%60%0%40%unclear
Seller paid closing costs or repairs60%40%67%60%unclear
Has a view0%20%33%0%unclear

4.3 Homes over 3,678 SF sell for about $294K (64%) more than homes under 2,422 SF

2026-10-26T04:49:38.492749 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,422 SF 5 sales 2,422– 2,836 SF 5 sales 3,069– 3,678 SF 6 sales Over 3,678 SF 5 sales $0K $250K $500K $750K $462K $536K $591K $756K Net sale price, average

The average is $756K for homes over 3,678 SF and $462K for homes under 2,422 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

✓ Real difference · large

4.4 Homes over 3,678 SF sell for about $72 per SF (31%) less than homes under 2,422 SF

2026-10-26T04:49:38.515457 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,422 SF 5 sales 2,422– 2,836 SF 5 sales 3,069– 3,678 SF 6 sales Over 3,678 SF 5 sales $0 $100 $200 $235 $203 $176 $163 Net price per SF, average

The average is $163 per SF for homes over 3,678 SF and $235 per SF for homes under 2,422 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

✓ Real difference · large

4.5 Year built: no clear difference

2026-10-26T04:49:38.539120 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,422 SF 5 sales 2,422– 2,836 SF 5 sales 3,069– 3,678 SF 6 sales Over 3,678 SF 5 sales 2006 2007 2008 2009 2008 2007 2008 2006 Year built: median (dot) and middle half (bar)

The median is 2006 for homes over 3,678 SF and 2008 for homes under 2,422 SF. It does not move in a straight line; homes under 2,422 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-10-26T04:49:38.561980 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,422 SF 5 sales 2,422– 2,836 SF 5 sales 3,069– 3,678 SF 6 sales Over 3,678 SF 5 sales 0 100 200 300 19 292 12 27 Days on market, median

The median is 27 days for homes over 3,678 SF and 19 days for homes under 2,422 SF. It does not move in a straight line; homes 2,422–2,836 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-26T04:49:38.584238 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,422 SF 5 sales 2,422– 2,836 SF 5 sales 3,069– 3,678 SF 6 sales Over 3,678 SF 5 sales 0.0% 2.0% 4.0% 6.0% 2.0% 5.6% 2.7% 3.3% Discount from original list, average

The average is 3.3% for homes over 3,678 SF and 2.0% for homes under 2,422 SF. It does not move in a straight line; homes 2,422–2,836 SF are highest. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-10-26T04:49:38.610584 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 20 60 0 60 40 20 0 67 33 40 60 0 Under 2,422 SF 2,422–2,836 SF 3,069–3,678 SF Over 3,678 SF

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

  • 40% of homes over 3,678 SF had a price cut before sale, against 20% of homes under 2,422 SF. Defined in 8.1.7.
  • 60% of homes over 3,678 SF had the seller pay closing costs or repairs, against 60% of homes under 2,422 SF. Defined in 8.1.8.
  • 0% of homes over 3,678 SF have a view, against 0% of homes under 2,422 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 2,422 SF5 sales2,422–2,836 SF5 sales3,069–3,678 SF6 salesOver 3,678 SF5 salesAll21 salesReal difference?
Net sale price average$461,950$535,941$591,375$756,060$586,572✓ large
Net price per SF average$235$203$176$163$193✓ large
Living area average1,9662,6543,3604,7303,186by design
Year built median20082007200820062008unclear

4.10 The numbers: selling

Under 2,422 SF5 sales2,422–2,836 SF5 sales3,069–3,678 SF6 salesOver 3,678 SF5 salesAll21 salesReal difference?
Days on market median19292122719unclear
Discount from original list average2.0%5.6%2.7%3.3%3.4%unclear
Price cut before sale20%60%0%40%29%unclear
Seller paid closing costs or repairs60%40%67%60%57%unclear
Has a view0%20%33%0%14%unclear

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.2.

5. Quartiles by year builtResale homes · 21 sales · October 26, 2025 – October 25, 2026

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

2026-10-26T04:49:38.631017 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 7 3 5 6 21 sales Sales per group Before 2007: 7 sales (33%) 2007: 3 sales (14%) 2008: 5 sales (24%) After 2008: 6 sales (29%)
Bottom line: too few sales to test.

5.1 Key differences

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

5.3 Net sale price: described, not tested

2026-10-26T04:49:38.650956 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2007 7 sales 2007 3 sales 2008 5 sales After 2008 6 sales $0K $200K $400K $600K $599K $590K $604K $557K Net sale price, average

The average is $557K for homes built after 2008 and $599K for homes built before 2007. It does not move in a straight line; homes built 2008 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T04:49:38.673840 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2007 7 sales 2007 3 sales 2008 5 sales After 2008 6 sales $0 $100 $200 $178 $215 $179 $212 Net price per SF, average

The average is $212 per SF for homes built after 2008 and $178 per SF for homes built before 2007. It does not move in a straight line; homes built 2007 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T04:49:38.695732 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2007 7 sales 2007 3 sales 2008 5 sales After 2008 6 sales 0 1,000 2,000 3,000 4,000 3,605 2,771 3,457 2,679 Living area (SF), average

The average is 2,679 SF for homes built after 2008 and 3,605 SF for homes built before 2007. It does not move in a straight line; homes built before 2007 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T04:49:38.717925 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2007 7 sales 2007 3 sales 2008 5 sales After 2008 6 sales 0 10 20 30 33 33 27 8 Days on market, median

The median is 8 days for homes built after 2008 and 33 days for homes built before 2007. It falls step by step from the lowest range to the highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T04:49:38.740010 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2007 7 sales 2007 3 sales 2008 5 sales After 2008 6 sales 0.0% 2.0% 4.0% 6.0% 6.1% 3.9% 2.4% 0.7% Discount from original list, average

The average is 0.7% for homes built after 2008 and 6.1% for homes built before 2007. It falls step by step from the lowest range to the highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-10-26T04:49:38.765642 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 43 71 14 67 0 0 20 40 20 0 83 17 Before 2007 2007 2008 After 2008

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

  • 0% of homes built after 2008 had a price cut before sale, against 43% of homes built before 2007. Defined in 8.1.7.
  • 83% of homes built after 2008 had the seller pay closing costs or repairs, against 71% of homes built before 2007. Defined in 8.1.8.
  • 17% of homes built after 2008 have a view, against 14% of homes built before 2007. Defined in 8.1.9.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.
Has a view: Not tested: too few sales.

5.9 The numbers: price and size

Before 20077 sales20073 sales20085 salesAfter 20086 salesAll21 sales
Net sale price average$598,529$589,667$603,650$556,843$586,572
Net price per SF average$178$215$179$212$193
Living area average3,6052,7713,4572,6793,186
Year built median20062007200820092008

5.10 The numbers: selling

Before 20077 sales20073 sales20085 salesAfter 20086 salesAll21 sales
Days on market median333327819
Discount from original list average6.1%3.9%2.4%0.7%3.4%
Price cut before sale43%67%20%0%29%
Seller paid closing costs or repairs71%0%40%83%57%
Has a view14%0%20%17%14%

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

6. View and no viewResale homes · 21 sales · October 26, 2025 – October 25, 2026

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

2026-10-26T04:49:38.784338 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 18 21 sales Sales per group View: 3 sales (14%) No view: 18 sales (86%)
Bottom line: too few sales to test.

6.1 Key differences

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

6.3 Net sale price: described, not tested

2026-10-26T04:49:38.799896 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 18 sales $0K $200K $400K $600K $596K $585K Net sale price, average

The average is $596K for homes with a view and $585K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-26T04:49:38.818588 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 18 sales $0 $50 $100 $150 $200 $193 $193 Net price per SF, average

The average is $193 per SF for homes with a view and $193 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-26T04:49:38.862797 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 18 sales 0 1,000 2,000 3,000 3,084 3,203 Living area (SF), average

The average is 3,084 SF for homes with a view and 3,203 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-26T04:49:38.880913 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 18 sales 2006 2007 2008 2008 2008 Year built: median (dot) and middle half (bar)

The median is 2008 for homes with a view and 2008 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-10-26T04:49:38.899003 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 18 sales 0 10 20 9 23 Days on market, median

The median is 9 days for homes with a view and 23 days for homes without a view. Defined in 8.1.5.

Not tested: too few sales.

6.8 Discount from original list: described, not tested

2026-10-26T04:49:38.917761 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 18 sales 0.0% 2.0% 4.0% 6.0% 6.1% 2.9% Discount from original list, average

The average is 6.1% for homes with a view and 2.9% for homes without a view. Defined in 8.1.6.

Not tested: too few sales.

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

2026-10-26T04:49:38.937404 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 33 67 28 56 View No view

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

  • 33% of homes with a view had a price cut before sale, against 28% of homes without a view. Defined in 8.1.7.
  • 67% of homes with a view had the seller pay closing costs or repairs, against 56% of homes without a view. Defined in 8.1.8.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.

6.10 The numbers: price and size

View3 salesNo view18 salesAll21 sales
Net sale price average$596,050$584,992$586,572
Net price per SF average$193$193$193
Living area average3,0843,2033,186
Year built median200820082008

6.11 The numbers: selling

View3 salesNo view18 salesAll21 sales
Days on market median92319
Discount from original list average6.1%2.9%3.4%
Price cut before sale33%28%29%
Seller paid closing costs or repairs67%56%57%

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 Silverado 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
21 resale sales. Average $586,572; median $567,806; standard deviation $123,535; middle half (25th–75th percentile) $519,900–$642,750; lowest $402,500, highest $825,000. 12 sales had a seller payment; their median payment was $3,850.

8.1.2 Net price per SF

In simple terms
Net sale price divided by the heated and cooled square feet. It puts homes of different sizes on the same footing: did buyers pay more for each square foot, not just for more square feet?
Statistically
psf = Net ÷ LivingArea, per sale; summarized by the mean of the per-sale ratios.
The data
21 resale sales. Average $193; median $195; standard deviation $34; middle half (25th–75th percentile) $173–$215; lowest $137, highest $252.

8.1.3 Living area

In simple terms
The heated and cooled space, as listed in the MLS. Garages and porches are not counted.
Statistically
RESO LivingArea, in square feet. Sales under 400 SF are treated as entry errors and left out.
The data
21 resale sales. Average 3,186; median 3,069; standard deviation 1,091; middle half (25th–75th percentile) 2,422–3,678; lowest 1,734, highest 5,542.

8.1.4 Year built

In simple terms
The year the home was finished, as listed in the MLS. It shows whether a group leans to older or newer phases of the community.
Statistically
RESO YearBuilt; summarized by the median, with the 25th–75th percentile (middle half) on the charts.
The data
21 resale sales. Average 2008; median 2008; standard deviation 2; middle half (25th–75th percentile) 2006–2009; lowest 2005, highest 2011.

8.1.5 Days on market

In simple terms
How many days the home was on the market before the buyer's offer was accepted, counting any earlier listing periods (relists). This is the days on market agents and clients quote.
Statistically
CDOM = max(CumulativeDaysOnMarket, DaysOnMarket, PurchaseContractDate − ListingContractDate). The MLS counter can freeze at a price change, so the contract-date gap is a floor. Summarized by the median, because a few homes that sat for months pull an average up.
The data
21 resale sales. Average 69; median 19; standard deviation 110; middle half (25th–75th percentile) 6–67; lowest 4, highest 353. 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
21 resale sales. Average 3.4%; median 2.2%; standard deviation 4.1%; middle half (25th–75th percentile) 0.9%–4.3%; lowest −4.2%, highest 13.3%. 2 sales closed above their first asking price.

8.1.7 Price cut before sale

In simple terms
The asking price was lowered at least once before the home went under contract.
Statistically
Indicator: ListPrice at close < OriginalListPrice. Reported as the share of sales (%).
The data
6 of 21 resale sales (28.6%).

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
12 of 21 resale sales (57.1%).

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
3 sales with a view, 18 without, 0 unclassified. Most common View entries: None 15, Neighborhood 3, Park/Greenbelt 2, See Remarks 1, Skyline 1, Trees/Woods 1, Pond 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 “silverado west” (case-insensitive). A record is kept when its subdivision name belongs to the Silverado West family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 21 closed Silverado West records over the prior year, in ZIP 78613. 11 subdivision spellings kept: Silverado West Ph B Sec 03 (5); Silverado West Ph A Sec 02 (4); Silverado West Ph B Sec 04 (3); Silverado West Ph B Sec 06 (2); Silverado West Ph B Sec 05 (1); Silverado West Ph A Sec 03 (1); SILVERADO WEST PH A SEC 2 (1); Silverado West Ph A Sec 04 (1); Silverado West Ph B Sec 3 (1); Silverado West (1); Silverado West Ph B Sec 02 (1). No other names were found by the search.

8.2.2 Study window

In simple terms
The most recent 365 days of closed sales: recent enough to describe today's market, long enough to give each group plenty of sales. The usual window is 180 days; it holds only 9 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
21 single-family sales in the window: 21 resale, 0 new construction.

8.2.3 Resale and new construction

In simple terms
A resale home was previously owned. New construction is sold by the builder and behaves differently, so it is kept out of every analysis and reported once on its own.
Statistically
New construction = NewConstructionYN true, or PropertyCondition contains “New Construction” or “Under Construction”. Everything else is resale.
The data
21 resale; 0 new construction.

8.2.4 Sales left out

In simple terms
A few records cannot be used as entered and are left out before any analysis.
Statistically
Excluded: PropertySubType other than Single Family Residence; no OriginalListPrice; LivingArea under 400 SF; seller payments above 10% of ClosePrice (treated as entry errors).
The data
None in this window.

8.2.5 Quartiles and groups

In simple terms
Sales lined up from lowest to highest and cut into four groups of about equal size. Each group is named by its range, for example “Under $520K”.
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 $520K: $402,500–$500,000 (5 sales); $520K–$560K: $519,900–$560,000 (5 sales); $568K–$643K: $567,806–$642,750 (6 sales); Over $643K: $653,200–$825,000 (5 sales)
Quartiles by living area: Under 2,422 SF: 1,734–2,328 SF (5 sales); 2,422–2,836 SF: 2,422–2,836 SF (5 sales); 3,069–3,678 SF: 3,069–3,678 SF (6 sales); Over 3,678 SF: 3,846–5,542 SF (5 sales)
Quartiles by year built: Before 2007: 2005–2006 (7 sales); 2007: 2007–2007 (3 sales); 2008: 2008–2008 (5 sales); After 2008: 2009–2011 (6 sales)
View and no view: View: MLS lists a view (3 sales); No view: None or Neighborhood (18 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 $586,572, median $567,806. Days on market: average 69, median 19: 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

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
3 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 = 6.3330.0968p < 0.0063Unclearε² = 0.316large
Living areaKruskal–WallisH = 15.6130.0014p < 0.0063Yesε² = 0.781large
Year builtKruskal–WallisH = 4.0030.2616p < 0.0063Unclearε² = 0.200large
Days on marketKruskal–WallisH = 2.8830.4108p < 0.0063Unclearε² = 0.144large
Discount from original listKruskal–WallisH = 0.9230.8202p < 0.0063Unclearε² = 0.046small
Price cut before saleChi-squareχ² = 3.3630.3394p < 0.0063UnclearCramér’s V = 0.400medium
Seller paid closing costs or repairsChi-squareχ² = 2.9030.4077p < 0.0063UnclearCramér’s V = 0.371medium
Has a viewChi-squareχ² = 3.5830.3108p < 0.0063UnclearCramér’s V = 0.413medium

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 15.2430.0016p < 0.0063Yesε² = 0.762large
Net price per SFKruskal–WallisH = 13.0530.0045p < 0.0063Yesε² = 0.653large
Year builtKruskal–WallisH = 3.8130.2822p < 0.0063Unclearε² = 0.191large
Days on marketKruskal–WallisH = 2.5030.4753p < 0.0063Unclearε² = 0.125medium
Discount from original listKruskal–WallisH = 1.1030.7762p < 0.0063Unclearε² = 0.055small
Price cut before saleChi-squareχ² = 5.3230.1498p < 0.0063UnclearCramér’s V = 0.503large
Seller paid closing costs or repairsChi-squareχ² = 0.8630.8361p < 0.0063UnclearCramér’s V = 0.202small
Has a viewChi-squareχ² = 3.5830.3108p < 0.0063UnclearCramér’s V = 0.413medium

8.3.3 Quartiles by year built

Too few sales in a group to test.

8.3.4 View and no view

Too few sales in a group to test.

8.4 Data notes

Left out of the analysis: 0 new-construction sales (basic statistics only, section 7); nothing else. Statistics: Python, NumPy 2.5.3, SciPy 1.18.1.

8.5 References

  1. Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Erlbaum.
  2. Cramér, H. (1946). Mathematical Methods of Statistics. Princeton University Press.
  3. Dunn, O. J. (1961). Multiple comparisons among means. JASA, 56(293), 52–64.
  4. Kerby, D. S. (2014). The simple difference formula: an approach to teaching nonparametric correlation. Comprehensive Psychology, 3, 11.IT.3.1.
  5. Kruskal, W. H., & Wallis, W. A. (1952). Use of ranks in one-criterion variance analysis. JASA, 47(260), 583–621.
  6. Mann, H. B., & Whitney, D. R. (1947). On a test of whether one of two random variables is stochastically larger than the other. Annals of Mathematical Statistics, 18(1), 50–60.
  7. Pearson, K. (1900). On the criterion that a given system of deviations… Philosophical Magazine, 50(302), 157–175.
  8. Tomczak, M., & Tomczak, E. (2014). The need to report effect size estimates revisited. Trends in Sport Sciences, 21(1), 19–25.

This is a market study of closed sales, not an appraisal or an opinion of value for any home. The analysis covers 21 closed MLS resale sales; the 0 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled October 26, 2026. Map data © OpenStreetMap contributors. ALEX Companies · Licensed by the Texas Real Estate Commission · Broker: Alexander Tiffany Southwest, LLC (ALEX Real Estate), #565194-BB · Diane Hart Alexander, Designated Broker, #574877-B.