ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Fairways At Crystal Falls Sec

Leander, TX 78641 · 78461
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 · 5:22 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
$812,000
average $832,933
Median net price per SF
$230
average $229
Median days on market
26 days
average 41 days
1. SummaryResale homes · 21 sales · October 26, 2025 – October 25, 2026

This study looks at the 21 resale homes sold in Fairways At Crystal Falls Sec in the 365 days to October 25, 2026. A full year is used because only 10 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 $710K · 5 sales$710K–$795K · 5 sales$812K–$965K · 6 salesOver $965K · 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.

2026-10-26T05:22:53.538308 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 6 5 21 sales Sales per group Under $710K: 5 sales (24%) $710K–$795K: 5 sales (24%) $812K–$965K: 6 sales (29%) Over $965K: 5 sales (24%)
Bottom line: no measure differs enough between the groups to rule out chance.

3.1 Key differences

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

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 $710K$710K–$795K$812K–$965KOver $965KReal difference?
Net price per SF$214 per SF$212 per SF$236 per SF$255 per SFunclear
Living area3,036 SF3,650 SF3,812 SF4,089 SFunclear
Year built2011201320122014unclear
Days on market66 days7 days28 days26 daysunclear
Discount from original list5.8%5.1%4.6%5.0%unclear
Price cut before sale60%20%50%40%unclear
Seller paid closing costs or repairs80%80%100%100%unclear
Has a view20%80%50%60%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

2026-10-26T05:22:53.567027 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $710K 5 sales $710K– $795K 5 sales $812K– $965K 6 sales Over $965K 5 sales $0 $100 $200 $300 $214 $212 $236 $255 Net price per SF, average

The average is $255 per SF for homes over $965K and $214 per SF for homes under $710K. It does not move in a straight line; homes over $965K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Living area: no clear difference

2026-10-26T05:22:53.590209 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $710K 5 sales $710K– $795K 5 sales $812K– $965K 6 sales Over $965K 5 sales 0 2,000 4,000 3,036 3,650 3,812 4,089 Living area (SF), average

The average is 4,089 SF for homes over $965K and 3,036 SF for homes under $710K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

– No clear difference · could be chance

3.5 Year built: no clear difference

2026-10-26T05:22:53.615678 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $710K 5 sales $710K– $795K 5 sales $812K– $965K 6 sales Over $965K 5 sales 2006 2008 2010 2012 2014 2011 2013 2012 2014 Year built: median (dot) and middle half (bar)

The median is 2014 for homes over $965K and 2011 for homes under $710K. It does not move in a straight line; homes over $965K are highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-10-26T05:22:53.639308 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $710K 5 sales $710K– $795K 5 sales $812K– $965K 6 sales Over $965K 5 sales 0 20 40 60 66 7 28 26 Days on market, median

The median is 26 days for homes over $965K and 66 days for homes under $710K. It does not move in a straight line; homes under $710K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-26T05:22:53.661160 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $710K 5 sales $710K– $795K 5 sales $812K– $965K 6 sales Over $965K 5 sales 0.0% 2.0% 4.0% 6.0% 5.8% 5.1% 4.6% 5.0% Discount from original list, average

The average is 5.0% for homes over $965K and 5.8% for homes under $710K. It does not move in a straight line; homes under $710K 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

2026-10-26T05:22:53.694082 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% 60 80 20 20 80 80 50 100 50 40 100 60 Under $710K $710K–$795K $812K–$965K Over $965K

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

  • 40% of homes over $965K had a price cut before sale, against 60% of homes under $710K. Defined in 8.1.7.
  • 100% of homes over $965K had the seller pay closing costs or repairs, against 80% of homes under $710K. Defined in 8.1.8.
  • 60% of homes over $965K have a view, against 20% of homes under $710K. 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 $710K5 sales$710K–$795K5 sales$812K–$965K6 salesOver $965K5 salesAll21 salesReal difference?
Net sale price average$627,029$755,255$895,183$1,041,814$832,933by design
Net price per SF average$214$212$236$255$229unclear
Living area average3,0363,6503,8124,0893,655unclear
Year built median20112013201220142013unclear

3.10 The numbers: selling

Under $710K5 sales$710K–$795K5 sales$812K–$965K6 salesOver $965K5 salesAll21 salesReal difference?
Days on market median667282626unclear
Discount from original list average5.8%5.1%4.6%5.0%5.1%unclear
Price cut before sale60%20%50%40%43%unclear
Seller paid closing costs or repairs80%80%100%100%90%unclear
Has a view20%80%50%60%52%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.

2026-10-26T05:22:53.719528 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 5 6 21 sales Sales per group Under 3,327 SF: 5 sales (24%) 3,327–3,683 SF: 5 sales (24%) 3,759–4,007 SF: 5 sales (24%) Over 4,007 SF: 6 sales (29%)
Bottom line: no measure differs enough between the groups to rule out chance.

4.1 Key differences

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

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 3,327 SF3,327–3,683 SF3,759–4,007 SFOver 4,007 SFReal difference?
Net sale price$667K$789K$894K$957Kunclear
Net price per SF$245 per SF$221 per SF$229 per SF$224 per SFunclear
Year built2012201320142012unclear
Days on market10 days7 days45 days24 daysunclear
Discount from original list6.1%4.4%4.9%5.1%unclear
Price cut before sale20%40%80%33%unclear
Seller paid closing costs or repairs80%80%100%100%unclear
Has a view60%60%40%50%unclear

4.3 Net sale price: no clear difference

2026-10-26T05:22:53.745654 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 3,327 SF 5 sales 3,327– 3,683 SF 5 sales 3,759– 4,007 SF 5 sales Over 4,007 SF 6 sales $0K $500K $1.00M $667K $789K $894K $957K Net sale price, average

The average is $957K for homes over 4,007 SF and $667K for homes under 3,327 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

– No clear difference · could be chance

4.4 Net price per SF: no clear difference

2026-10-26T05:22:53.775507 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 3,327 SF 5 sales 3,327– 3,683 SF 5 sales 3,759– 4,007 SF 5 sales Over 4,007 SF 6 sales $0 $100 $200 $245 $221 $229 $224 Net price per SF, average

The average is $224 per SF for homes over 4,007 SF and $245 per SF for homes under 3,327 SF. It does not move in a straight line; homes under 3,327 SF are highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-10-26T05:22:53.805410 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 3,327 SF 5 sales 3,327– 3,683 SF 5 sales 3,759– 4,007 SF 5 sales Over 4,007 SF 6 sales 2008 2010 2012 2014 2012 2013 2014 2012 Year built: median (dot) and middle half (bar)

The median is 2012 for homes over 4,007 SF and 2012 for homes under 3,327 SF. It does not move in a straight line; homes 3,759–4,007 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-10-26T05:22:53.835409 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 3,327 SF 5 sales 3,327– 3,683 SF 5 sales 3,759– 4,007 SF 5 sales Over 4,007 SF 6 sales 0 20 40 10 7 45 24 Days on market, median

The median is 24 days for homes over 4,007 SF and 10 days for homes under 3,327 SF. It does not move in a straight line; homes 3,759–4,007 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-26T05:22:53.863417 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 3,327 SF 5 sales 3,327– 3,683 SF 5 sales 3,759– 4,007 SF 5 sales Over 4,007 SF 6 sales 0.0% 2.0% 4.0% 6.0% 6.1% 4.4% 4.9% 5.1% Discount from original list, average

The average is 5.1% for homes over 4,007 SF and 6.1% for homes under 3,327 SF. It does not move in a straight line; homes under 3,327 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

2026-10-26T05:22:53.897424 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 80 60 40 80 60 80 100 40 33 100 50 Under 3,327 SF 3,327–3,683 SF 3,759–4,007 SF Over 4,007 SF

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

  • 33% of homes over 4,007 SF had a price cut before sale, against 20% of homes under 3,327 SF. Defined in 8.1.7.
  • 100% of homes over 4,007 SF had the seller pay closing costs or repairs, against 80% of homes under 3,327 SF. Defined in 8.1.8.
  • 50% of homes over 4,007 SF have a view, against 60% of homes under 3,327 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 3,327 SF5 sales3,327–3,683 SF5 sales3,759–4,007 SF5 salesOver 4,007 SF6 salesAll21 salesReal difference?
Net sale price average$666,940$789,154$893,610$957,178$832,933unclear
Net price per SF average$245$221$229$224$229unclear
Living area average2,7503,5713,8944,2793,655by design
Year built median20122013201420122013unclear

4.10 The numbers: selling

Under 3,327 SF5 sales3,327–3,683 SF5 sales3,759–4,007 SF5 salesOver 4,007 SF6 salesAll21 salesReal difference?
Days on market median107452426unclear
Discount from original list average6.1%4.4%4.9%5.1%5.1%unclear
Price cut before sale20%40%80%33%43%unclear
Seller paid closing costs or repairs80%80%100%100%90%unclear
Has a view60%60%40%50%52%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.

2026-10-26T05:22:53.922617 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 4 7 21 sales Sales per group Before 2011: 5 sales (24%) 2011–2012: 5 sales (24%) 2013: 4 sales (19%) After 2013: 7 sales (33%)
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

2026-10-26T05:22:53.948281 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2011 5 sales 2011– 2012 5 sales 2013 4 sales After 2013 7 sales $0K $500K $1.00M $707K $875K $921K $842K Net sale price, average

The average is $842K for homes built after 2013 and $707K for homes built before 2011. It does not move in a straight line; homes built 2013 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T05:22:53.977530 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2011 5 sales 2011– 2012 5 sales 2013 4 sales After 2013 7 sales $0 $100 $200 $199 $231 $234 $248 Net price per SF, average

The average is $248 per SF for homes built after 2013 and $199 per SF for homes built before 2011. It rises step by step from the lowest range to the highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T05:22:54.004811 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2011 5 sales 2011– 2012 5 sales 2013 4 sales After 2013 7 sales 0 2,000 4,000 3,622 3,767 3,923 3,444 Living area (SF), average

The average is 3,444 SF for homes built after 2013 and 3,622 SF for homes built before 2011. It does not move in a straight line; homes built 2013 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T05:22:54.031391 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2011 5 sales 2011– 2012 5 sales 2013 4 sales After 2013 7 sales 0 20 40 10 33 16 40 Days on market, median

The median is 40 days for homes built after 2013 and 10 days for homes built before 2011. It does not move in a straight line; homes built after 2013 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T05:22:54.061050 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2011 5 sales 2011– 2012 5 sales 2013 4 sales After 2013 7 sales 0.0% 2.5% 5.0% 7.5% 5.3% 7.9% 2.0% 4.7% Discount from original list, average

The average is 4.7% for homes built after 2013 and 5.3% for homes built before 2011. It does not move in a straight line; homes built 2011–2012 are 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

2026-10-26T05:22:54.093196 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 80 60 60 100 20 25 100 75 43 86 57 Before 2011 2011–2012 2013 After 2013

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

  • 43% of homes built after 2013 had a price cut before sale, against 40% of homes built before 2011. Defined in 8.1.7.
  • 86% of homes built after 2013 had the seller pay closing costs or repairs, against 80% of homes built before 2011. Defined in 8.1.8.
  • 57% of homes built after 2013 have a view, against 60% of homes built before 2011. 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 20115 sales2011–20125 sales20134 salesAfter 20137 salesAll21 sales
Net sale price average$707,309$874,750$920,961$842,493$832,933
Net price per SF average$199$231$234$248$229
Living area average3,6223,7673,9233,4443,655
Year built median20072012201320142013

5.10 The numbers: selling

Before 20115 sales2011–20125 sales20134 salesAfter 20137 salesAll21 sales
Days on market median1033164026
Discount from original list average5.3%7.9%2.0%4.7%5.1%
Price cut before sale40%60%25%43%43%
Seller paid closing costs or repairs80%100%100%86%90%
Has a view60%20%75%57%52%

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. 2 sales whose MLS view entry is only “See Remarks” are left out.

2026-10-26T05:22:54.116975 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 11 8 19 sales Sales per group View: 11 sales (58%) No view: 8 sales (42%)
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$855K$752Kunclear
Net price per SF$240 per SF$210 per SFunclear
Living area3,627 SF3,574 SFunclear
Year built20132012unclear
Days on market19 days50 daysunclear
Discount from original list5.8%4.8%unclear
Price cut before sale27%75%unclear
Seller paid closing costs or repairs100%75%unclear

6.3 Net sale price: no clear difference

2026-10-26T05:22:54.138987 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 11 sales No view 8 sales $0K $250K $500K $750K $1.00M $855K $752K Net sale price, average

The average is $855K for homes with a view and $752K 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

2026-10-26T05:22:54.159960 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 11 sales No view 8 sales $0 $100 $200 $240 $210 Net price per SF, average

The average is $240 per SF for homes with a view and $210 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

2026-10-26T05:22:54.203479 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 11 sales No view 8 sales 0 1,000 2,000 3,000 4,000 3,627 3,574 Living area (SF), average

The average is 3,627 SF for homes with a view and 3,574 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-26T05:22:54.223442 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 11 sales No view 8 sales 2010 2011 2012 2013 2014 2013 2012 Year built: median (dot) and middle half (bar)

The median is 2013 for homes with a view and 2012 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-26T05:22:54.242038 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 11 sales No view 8 sales 0 20 40 60 19 50 Days on market, median

The median is 19 days for homes with a view and 50 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

2026-10-26T05:22:54.260253 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 11 sales No view 8 sales 0.0% 2.0% 4.0% 6.0% 5.8% 4.8% Discount from original list, average

The average is 5.8% for homes with a view and 4.8% for homes without a view. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-10-26T05:22:54.279238 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 27 100 75 75 View No view

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

  • 27% of homes with a view had a price cut before sale, against 75% of homes without a view. Defined in 8.1.7.
  • 100% of homes with a view had the seller pay closing costs or repairs, against 75% 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

View11 salesNo view8 salesAll19 salesReal difference?
Net sale price average$855,372$751,562$811,663unclear
Net price per SF average$240$210$227unclear
Living area average3,6273,5743,604unclear
Year built median201320122013unclear

6.11 The numbers: selling

View11 salesNo view8 salesAll19 salesReal difference?
Days on market median195033unclear
Discount from original list average5.8%4.8%5.4%unclear
Price cut before sale27%75%47%unclear
Seller paid closing costs or repairs100%75%89%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 Fairways At Crystal Falls Sec.

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 $832,933; median $812,000; standard deviation $166,962; middle half (25th–75th percentile) $710,000–$965,448; lowest $525,000, highest $1,146,570. 19 sales had a seller payment; their median payment was $8,500.

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 $229; median $230; standard deviation $33; middle half (25th–75th percentile) $214–$250; lowest $171, highest $295.

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 3,655; median 3,759; standard deviation 625; middle half (25th–75th percentile) 3,327–4,134; lowest 2,198, highest 4,395.

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 2012; median 2013; standard deviation 3; middle half (25th–75th percentile) 2011–2014; lowest 2005, highest 2016.

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 41; median 26; standard deviation 48; middle half (25th–75th percentile) 7–57; lowest 2, highest 183. 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 5.1%; median 3.6%; standard deviation 4.8%; middle half (25th–75th percentile) 2.6%–6.6%; lowest 0.2%, highest 16.0%. 0 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
9 of 21 resale sales (42.9%).

8.1.8 Seller paid closing costs or repairs

In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
19 of 21 resale sales (90.5%).

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
11 sales with a view, 8 without, 2 unclassified. Most common View entries: Neighborhood 8, Park/Greenbelt 4, Hill Country 4, Trees/Woods 4, Golf Course 3, Pool 3, None 3, Panoramic 2.

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 = Leander, SubdivisionName contains any of “fairways at crystal falls”, “fairways”, “highlands crystal falls” (case-insensitive). A record is kept when its subdivision name belongs to the Fairways At Crystal Falls Sec family, the same rule comparable sales use (it includes Fairways Ph 1 Crystal Falls, Highlands/Crystal Falls Sec 1, proven adjacent and priced alike).
The data
Pulled October 26, 2026: 21 closed Fairways At Crystal Falls Sec records over the prior year, in ZIP 78641, 78461. 6 subdivision spellings kept: Fairways At Crystal Falls Sec (8); Fairways At Crystal Falls (5); Fairways at Crystal Falls (3); Fairways Ph 1 Crystal Falls (3); Highlands Crystal Falls Sec I (1); Fairways at Crystal Falls Sec (1). Names found by the search but not part of Fairways At Crystal Falls Sec, left out: Fairways At Crystal Flls Sc3 P (2); Fairways At Crystal Falls Sc3 P (2); Fairways/Crystal Falls Sec 3 P (1); Fairways/Crystal Falls Ph 2A S (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 10 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 $710K”.
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 $710K: $525,000–$699,400 (5 sales); $710K–$795K: $710,000–$795,000 (5 sales); $812K–$965K: $812,000–$965,448 (6 sales); Over $965K: $970,000–$1,146,570 (5 sales)
Quartiles by living area: Under 3,327 SF: 2,198–3,289 SF (5 sales); 3,327–3,683 SF: 3,327–3,683 SF (5 sales); 3,759–4,007 SF: 3,759–4,007 SF (5 sales); Over 4,007 SF: 4,134–4,395 SF (6 sales)
Quartiles by year built: Before 2011: 2005–2009 (5 sales); 2011–2012: 2011–2012 (5 sales); 2013: 2013–2013 (4 sales); After 2013: 2014–2016 (7 sales)
View and no view: View: MLS lists a view (11 sales); No view: None or Neighborhood (8 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 $832,933, median $812,000. Days on market: average 41, median 26: 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; 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
0 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 = 6.3830.0947p < 0.0063Unclearε² = 0.319large
Living areaKruskal–WallisH = 7.3430.0619p < 0.0063Unclearε² = 0.367large
Year builtKruskal–WallisH = 3.5130.3201p < 0.0063Unclearε² = 0.175large
Days on marketKruskal–WallisH = 2.0230.5678p < 0.0063Unclearε² = 0.101medium
Discount from original listKruskal–WallisH = 0.7930.8528p < 0.0063Unclearε² = 0.039small
Price cut before saleChi-squareχ² = 1.8130.6131p < 0.0063UnclearCramér’s V = 0.293small
Seller paid closing costs or repairsChi-squareχ² = 2.4330.4878p < 0.0063UnclearCramér’s V = 0.340medium
Has a viewChi-squareχ² = 3.7630.2885p < 0.0063UnclearCramér’s V = 0.423medium

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 8.7230.0332p < 0.0063Unclearε² = 0.436large
Net price per SFKruskal–WallisH = 1.0030.8013p < 0.0063Unclearε² = 0.050small
Year builtKruskal–WallisH = 4.7630.1903p < 0.0063Unclearε² = 0.238large
Days on marketKruskal–WallisH = 3.2030.3614p < 0.0063Unclearε² = 0.160large
Discount from original listKruskal–WallisH = 1.3530.7173p < 0.0063Unclearε² = 0.067medium
Price cut before saleChi-squareχ² = 4.1230.2486p < 0.0063UnclearCramér’s V = 0.443medium
Seller paid closing costs or repairsChi-squareχ² = 2.4330.4878p < 0.0063UnclearCramér’s V = 0.340medium
Has a viewChi-squareχ² = 0.5530.9070p < 0.0063UnclearCramér’s V = 0.162small

8.3.3 Quartiles by year built

Too few sales in a group to test.

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 62.00—0.1518p < 0.0063Unclearrank-biserial r = 0.409medium
Net price per SFMann–Whitney UU = 69.00—0.0409p < 0.0063Unclearrank-biserial r = 0.568large
Living areaMann–Whitney UU = 49.00—0.7168p < 0.0063Unclearrank-biserial r = 0.114small
Year builtMann–Whitney UU = 43.00—0.9666p < 0.0063Unclearrank-biserial r = 0.023negligible
Days on marketMann–Whitney UU = 24.50—0.1162p < 0.0063Unclearrank-biserial r = 0.443medium
Discount from original listMann–Whitney UU = 47.00—0.8404p < 0.0063Unclearrank-biserial r = 0.068negligible
Price cut before saleChi-squareχ² = 4.2310.0397p < 0.0063UnclearCramér’s V = 0.472medium
Seller paid closing costs or repairsChi-squareχ² = 3.0710.0796p < 0.0063UnclearCramér’s V = 0.402medium

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.