ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Fairways At Crystal Falls Sec

Leander, TX 78641 · 78461
Resale homes · closed Nov 5 – Nov 4, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
November 5, 2026 · 3:50 PM 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
21
single-family resale homes
Median net sale price
$781,500
average $803,147
Median net price per SF
$219
average $225
Median days on market
23 days
average 40 days
1. SummaryResale homes · 21 sales · November 5, 2025 – November 4, 2026

This study looks at the 21 resale homes sold in Fairways At Crystal Falls Sec in the 365 days to November 4, 2026. A full year is used because only 11 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 $699K · 5 sales$699K–$770K · 5 sales$782K–$868K · 5 salesOver $868K · 6 sales
3. Quartiles by net sale priceResale homes · 21 sales · November 5, 2025 – November 4, 2026

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

2026-11-05T15:51:04.692838 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 5 6 21 sales Sales per group Under $699K: 5 sales (24%) $699K–$770K: 5 sales (24%) $782K–$868K: 5 sales (24%) Over $868K: 6 sales (29%)
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 $699K$699K–$770K$782K–$868KOver $868KReal difference?
Net price per SF$219 per SF$216 per SF$213 per SF$249 per SFunclear
Living area2,836 SF3,427 SF3,894 SF4,101 SFunclear
Year built2012201320092012unclear
Days on market7 days57 days10 days24 daysunclear
Discount from original list5.4%2.4%4.5%4.9%unclear
Price cut before sale40%20%40%33%unclear
Seller paid closing costs or repairs80%60%100%100%unclear
Has a view20%40%80%50%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

2026-11-05T15:51:04.721046 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $699K 5 sales $699K– $770K 5 sales $782K– $868K 5 sales Over $868K 6 sales $0 $100 $200 $219 $216 $213 $249 Net price per SF, average

The average is $249 per SF for homes over $868K and $219 per SF for homes under $699K. It does not move in a straight line; homes over $868K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Living area: no clear difference

2026-11-05T15:51:04.743054 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $699K 5 sales $699K– $770K 5 sales $782K– $868K 5 sales Over $868K 6 sales 0 2,000 4,000 2,836 3,427 3,894 4,101 Living area (SF), average

The average is 4,101 SF for homes over $868K and 2,836 SF for homes under $699K. 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

2026-11-05T15:51:04.767586 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $699K 5 sales $699K– $770K 5 sales $782K– $868K 5 sales Over $868K 6 sales 2006 2008 2010 2012 2014 2012 2013 2009 2012 Year built: median (dot) and middle half (bar)

The median is 2012 for homes over $868K and 2012 for homes under $699K. It does not move in a straight line; homes $699K–$770K are highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-11-05T15:51:04.790406 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $699K 5 sales $699K– $770K 5 sales $782K– $868K 5 sales Over $868K 6 sales 0 20 40 60 7 57 10 24 Days on market, median

The median is 24 days for homes over $868K and 7 days for homes under $699K. It does not move in a straight line; homes $699K–$770K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-11-05T15:51:04.812063 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $699K 5 sales $699K– $770K 5 sales $782K– $868K 5 sales Over $868K 6 sales 0.0% 2.0% 4.0% 6.0% 5.4% 2.4% 4.5% 4.9% Discount from original list, average

The average is 4.9% for homes over $868K and 5.4% for homes under $699K. It does not move in a straight line; homes under $699K 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

2026-11-05T15:51:04.841591 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 20 20 60 40 40 100 80 33 100 50 Under $699K $699K–$770K $782K–$868K Over $868K

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

  • 33% of homes over $868K had a price cut before sale, against 40% of homes under $699K. Defined in 8.1.7.
  • 100% of homes over $868K had the seller pay closing costs or repairs, against 80% of homes under $699K. Defined in 8.1.8.
  • 50% of homes over $868K have a view, against 20% of homes under $699K. 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 $699K5 sales$699K–$770K5 sales$782K–$868K5 salesOver $868K6 salesAll21 salesReal difference?
Net sale price average$604,249$727,635$816,430$1,020,753$803,147by design
Net price per SF average$219$216$213$249$225unclear
Living area average2,8363,4273,8944,1013,590unclear
Year built median20122013200920122012unclear

3.10 The numbers: selling

Under $699K5 sales$699K–$770K5 sales$782K–$868K5 salesOver $868K6 salesAll21 salesReal difference?
Days on market median757102423unclear
Discount from original list average5.4%2.4%4.5%4.9%4.3%unclear
Price cut before sale40%20%40%33%33%unclear
Seller paid closing costs or repairs80%60%100%100%86%unclear
Has a view20%40%80%50%48%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 · November 5, 2025 – November 4, 2026

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

2026-11-05T15:51:04.861587 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 5 6 21 sales Sales per group Under 3,289 SF: 5 sales (24%) 3,289–3,682 SF: 5 sales (24%) 3,683–3,970 SF: 5 sales (24%) Over 3,970 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 3,289 SF3,289–3,682 SF3,683–3,970 SFOver 3,970 SFReal difference?
Net sale price$622K$758K$844K$957Kunclear
Net price per SF$238 per SF$218 per SF$222 per SF$224 per SFunclear
Year built2013201320122012unclear
Days on market7 days7 days40 days24 daysunclear
Discount from original list5.8%1.6%4.7%5.1%unclear
Price cut before sale20%20%60%33%unclear
Seller paid closing costs or repairs80%80%80%100%unclear
Has a view40%60%40%50%unclear

4.3 Net sale price: no clear difference

2026-11-05T15:51:04.882042 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 3,289 SF 5 sales 3,289– 3,682 SF 5 sales 3,683– 3,970 SF 5 sales Over 3,970 SF 6 sales $0K $500K $1.00M $622K $758K $844K $957K Net sale price, average

The average is $957K for homes over 3,970 SF and $622K for homes under 3,289 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

2026-11-05T15:51:04.904601 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 3,289 SF 5 sales 3,289– 3,682 SF 5 sales 3,683– 3,970 SF 5 sales Over 3,970 SF 6 sales $0 $100 $200 $238 $218 $222 $224 Net price per SF, average

The average is $224 per SF for homes over 3,970 SF and $238 per SF for homes under 3,289 SF. It does not move in a straight line; homes under 3,289 SF are highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-11-05T15:51:04.927537 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 3,289 SF 5 sales 3,289– 3,682 SF 5 sales 3,683– 3,970 SF 5 sales Over 3,970 SF 6 sales 2008 2010 2012 2014 2013 2013 2012 2012 Year built: median (dot) and middle half (bar)

The median is 2012 for homes over 3,970 SF and 2013 for homes under 3,289 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-11-05T15:51:04.950405 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 3,289 SF 5 sales 3,289– 3,682 SF 5 sales 3,683– 3,970 SF 5 sales Over 3,970 SF 6 sales 0 20 40 7 7 40 24 Days on market, median

The median is 24 days for homes over 3,970 SF and 7 days for homes under 3,289 SF. It does not move in a straight line; homes 3,683–3,970 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-11-05T15:51:04.972063 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 3,289 SF 5 sales 3,289– 3,682 SF 5 sales 3,683– 3,970 SF 5 sales Over 3,970 SF 6 sales 0.0% 2.0% 4.0% 6.0% 5.8% 1.6% 4.7% 5.1% Discount from original list, average

The average is 5.1% for homes over 3,970 SF and 5.8% for homes under 3,289 SF. It does not move in a straight line; homes under 3,289 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

2026-11-05T15:51:04.999120 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 40 20 80 60 60 80 40 33 100 50 Under 3,289 SF 3,289–3,682 SF 3,683–3,970 SF Over 3,970 SF

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

  • 33% of homes over 3,970 SF had a price cut before sale, against 20% of homes under 3,289 SF. Defined in 8.1.7.
  • 100% of homes over 3,970 SF had the seller pay closing costs or repairs, against 80% of homes under 3,289 SF. Defined in 8.1.8.
  • 50% of homes over 3,970 SF have a view, against 40% of homes under 3,289 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 3,289 SF5 sales3,289–3,682 SF5 sales3,683–3,970 SF5 salesOver 3,970 SF6 salesAll21 salesReal difference?
Net sale price average$621,640$758,464$844,500$957,178$803,147unclear
Net price per SF average$238$218$222$224$225unclear
Living area average2,6443,4923,8084,2793,590by design
Year built median20132013201220122012unclear

4.10 The numbers: selling

Under 3,289 SF5 sales3,289–3,682 SF5 sales3,683–3,970 SF5 salesOver 3,970 SF6 salesAll21 salesReal difference?
Days on market median77402423unclear
Discount from original list average5.8%1.6%4.7%5.1%4.3%unclear
Price cut before sale20%20%60%33%33%unclear
Seller paid closing costs or repairs80%80%80%100%86%unclear
Has a view40%60%40%50%48%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 · November 5, 2025 – November 4, 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.

2026-11-05T15:51:05.019397 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 6 5 5 21 sales Sales per group Before 2011: 5 sales (24%) 2011–2012: 6 sales (29%) 2013: 5 sales (24%) After 2013: 5 sales (24%)
Bottom line: no measure differs enough between the groups to rule out chance.

5.1 Key differences

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

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 20112011–20122013After 2013Real difference?
Net sale price$707K$852K$854K$789Kunclear
Net price per SF$199 per SF$224 per SF$229 per SF$249 per SFunclear
Living area3,622 SF3,781 SF3,690 SF3,229 SFunclear
Days on market10 days49 days7 days19 daysunclear
Discount from original list5.3%6.8%1.7%2.9%unclear
Price cut before sale40%50%20%20%unclear
Seller paid closing costs or repairs80%83%100%80%unclear
Has a view60%17%60%60%unclear

5.3 Net sale price: no clear difference

2026-11-05T15:51:05.039762 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2011 5 sales 2011– 2012 6 sales 2013 5 sales After 2013 5 sales $0K $500K $1.00M $707K $852K $854K $789K Net sale price, average

The average is $789K 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.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-11-05T15:51:05.062170 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2011 5 sales 2011– 2012 6 sales 2013 5 sales After 2013 5 sales $0 $100 $200 $199 $224 $229 $249 Net price per SF, average

The average is $249 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.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-11-05T15:51:05.082894 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2011 5 sales 2011– 2012 6 sales 2013 5 sales After 2013 5 sales 0 2,000 4,000 3,622 3,781 3,690 3,229 Living area (SF), average

The average is 3,229 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 2011–2012 are highest. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-11-05T15:51:05.103898 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2011 5 sales 2011– 2012 6 sales 2013 5 sales After 2013 5 sales 0 20 40 10 49 7 19 Days on market, median

The median is 19 days for homes built after 2013 and 10 days for homes built before 2011. It does not move in a straight line; homes built 2011–2012 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-11-05T15:51:05.126159 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2011 5 sales 2011– 2012 6 sales 2013 5 sales After 2013 5 sales 0.0% 2.5% 5.0% 7.5% 5.3% 6.8% 1.7% 2.9% Discount from original list, average

The average is 2.9% 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.

– No clear difference · could be chance

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

2026-11-05T15:51:05.151259 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 50 83 17 20 100 60 20 80 60 Before 2011 2011–2012 2013 After 2013

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

  • 20% of homes built after 2013 had a price cut before sale, against 40% of homes built before 2011. Defined in 8.1.7.
  • 80% 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.
  • 60% of homes built after 2013 have a view, against 60% of homes built before 2011. 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 20115 sales2011–20126 sales20135 salesAfter 20135 salesAll21 salesReal difference?
Net sale price average$707,309$852,125$853,869$789,490$803,147unclear
Net price per SF average$199$224$229$249$225unclear
Living area average3,6223,7813,6903,2293,590unclear
Year built median20072012201320142012by design

5.10 The numbers: selling

Before 20115 sales2011–20126 sales20135 salesAfter 20135 salesAll21 salesReal difference?
Days on market median104971923unclear
Discount from original list average5.3%6.8%1.7%2.9%4.3%unclear
Price cut before sale40%50%20%20%33%unclear
Seller paid closing costs or repairs80%83%100%80%86%unclear
Has a view60%17%60%60%48%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 · 21 sales · November 5, 2025 – November 4, 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. 3 sales whose MLS view entry is only “See Remarks” are left out.

2026-11-05T15:51:05.169275 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 10 8 18 sales Sales per group View: 10 sales (56%) No view: 8 sales (44%)
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$844K$702Kunclear
Net price per SF$239 per SF$206 per SFunclear
Living area3,593 SF3,418 SFunclear
Year built20132012unclear
Days on market14 days41 daysunclear
Discount from original list5.2%4.0%unclear
Price cut before sale20%62%unclear
Seller paid closing costs or repairs100%75%unclear

6.3 Net sale price: no clear difference

2026-11-05T15:51:05.186091 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 10 sales No view 8 sales $0K $250K $500K $750K $1.00M $844K $702K Net sale price, average

The average is $844K for homes with a view and $702K 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

2026-11-05T15:51:05.204076 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 10 sales No view 8 sales $0 $100 $200 $239 $206 Net price per SF, average

The average is $239 per SF for homes with a view and $206 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

2026-11-05T15:51:05.222405 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 10 sales No view 8 sales 0 1,000 2,000 3,000 4,000 3,593 3,418 Living area (SF), average

The average is 3,593 SF for homes with a view and 3,418 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-11-05T15:51:05.263077 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 10 sales No view 8 sales 2010 2011 2012 2013 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

2026-11-05T15:51:05.281033 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 10 sales No view 8 sales 0 10 20 30 40 14 41 Days on market, median

The median is 14 days for homes with a view and 41 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

2026-11-05T15:51:05.299275 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 10 sales No view 8 sales 0.0% 2.0% 4.0% 6.0% 5.2% 4.0% Discount from original list, average

The average is 5.2% for homes with a view and 4.0% 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

2026-11-05T15:51:05.317785 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 20 100 62 75 View No view

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

  • 20% of homes with a view had a price cut before sale, against 62% 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

View10 salesNo view8 salesAll18 salesReal difference?
Net sale price average$843,909$702,249$780,949unclear
Net price per SF average$239$206$224unclear
Living area average3,5933,4183,515unclear
Year built median201320122013unclear

6.11 The numbers: selling

View10 salesNo view8 salesAll18 salesReal difference?
Days on market median144122unclear
Discount from original list average5.2%4.0%4.7%unclear
Price cut before sale20%62%39%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 · November 5, 2025 – November 4, 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 $803,147; median $781,500; standard deviation $168,601; middle half (25th–75th percentile) $699,400–$950,000; lowest $525,000, highest $1,146,570. 18 sales had a seller payment; their median payment was $5,112.

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 $225; median $219; standard deviation $34; middle half (25th–75th percentile) $204–$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 3,590; median 3,683; standard deviation 646; middle half (25th–75th percentile) 3,289–4,134; 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 2011; median 2012; standard deviation 3; middle half (25th–75th percentile) 2011–2013; lowest 2005, highest 2015.

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 40; median 23; standard deviation 49; 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 4.3%; median 2.8%; standard deviation 4.6%; middle half (25th–75th percentile) 1.3%–4.4%; 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
7 of 21 resale sales (33.3%).

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
18 of 21 resale sales (85.7%).

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
10 sales with a view, 8 without, 3 unclassified. Most common View entries: Neighborhood 7, None 4, Trees/Woods 4, Hill Country 4, Pool 3, See Remarks 3, Park/Greenbelt 3, Golf Course 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
ABOR MLS via secure APIs, read from ALEX's copy of the MLS (refreshed every 15 minutes; this pull as of 2026-11-05 21:45 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Leander, SubdivisionName contains any of “fairways at crystal falls”, “fairways”, “highlands crystal falls”, “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 November 5, 2026: 21 closed Fairways At Crystal Falls Sec records over the prior year, in ZIP 78641, 78461. 7 subdivision spellings kept: Fairways At Crystal Falls Sec (7); Fairways At Crystal Falls (4); Fairways Ph 1 Crystal Falls (3); Fairways at Crystal Falls (3); Highlands/Crystal Falls Sec 1 (2); Fairways at Crystal Falls Sec (1); Highlands Crystal Falls Sec I (1). Names found by the search but not part of Fairways At Crystal Falls Sec, left out: Fairways At Crystal Falls Sc3 P (2); Fairways At Crystal Flls 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 11 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from November 5, 2025 to November 4, 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 $699K”.
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 $699K: $525,000–$648,800 (5 sales); $699K–$770K: $699,400–$770,000 (5 sales); $782K–$868K: $781,500–$867,500 (5 sales); Over $868K: $950,000–$1,146,570 (6 sales)
Quartiles by living area: Under 3,289 SF: 2,198–3,126 SF (5 sales); 3,289–3,682 SF: 3,289–3,682 SF (5 sales); 3,683–3,970 SF: 3,683–3,970 SF (5 sales); Over 3,970 SF: 4,134–4,395 SF (6 sales)
Quartiles by year built: Before 2011: 2005–2009 (5 sales); 2011–2012: 2011–2012 (6 sales); 2013: 2013–2013 (5 sales); After 2013: 2014–2015 (5 sales)
View and no view: View: MLS lists a view (10 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 $803,147, median $781,500. Days on market: average 40, median 23: 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
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 = 5.5330.1370p < 0.0063Unclearε² = 0.276large
Living areaKruskal–WallisH = 11.8230.0080p < 0.0063Unclearε² = 0.591large
Year builtKruskal–WallisH = 2.1230.5484p < 0.0063Unclearε² = 0.106medium
Days on marketKruskal–WallisH = 1.0430.7922p < 0.0063Unclearε² = 0.052small
Discount from original listKruskal–WallisH = 1.0430.7927p < 0.0063Unclearε² = 0.052small
Price cut before saleChi-squareχ² = 0.6030.8964p < 0.0063UnclearCramér’s V = 0.169small
Seller paid closing costs or repairsChi-squareχ² = 4.6730.1979p < 0.0063UnclearCramér’s V = 0.471medium
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 = 11.7230.0084p < 0.0063Unclearε² = 0.586large
Net price per SFKruskal–WallisH = 0.3430.9519p < 0.0063Unclearε² = 0.017small
Year builtKruskal–WallisH = 1.9530.5821p < 0.0063Unclearε² = 0.098medium
Days on marketKruskal–WallisH = 3.7330.2917p < 0.0063Unclearε² = 0.187large
Discount from original listKruskal–WallisH = 4.7630.1904p < 0.0063Unclearε² = 0.238large
Price cut before saleChi-squareχ² = 2.4030.4936p < 0.0063UnclearCramér’s V = 0.338medium
Seller paid closing costs or repairsChi-squareχ² = 1.4030.7055p < 0.0063UnclearCramér’s V = 0.258small
Has a viewChi-squareχ² = 0.5530.9070p < 0.0063UnclearCramér’s V = 0.162small

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 1.7130.6357p < 0.0063Unclearε² = 0.085medium
Net price per SFKruskal–WallisH = 6.1130.1064p < 0.0063Unclearε² = 0.305large
Living areaKruskal–WallisH = 1.6230.6539p < 0.0063Unclearε² = 0.081medium
Days on marketKruskal–WallisH = 4.1130.2502p < 0.0063Unclearε² = 0.205large
Discount from original listKruskal–WallisH = 3.3830.3371p < 0.0063Unclearε² = 0.169large
Price cut before saleChi-squareχ² = 1.6530.6481p < 0.0063UnclearCramér’s V = 0.280small
Seller paid closing costs or repairsChi-squareχ² = 1.1330.7704p < 0.0063UnclearCramér’s V = 0.232small
Has a viewChi-squareχ² = 3.2330.3580p < 0.0063UnclearCramér’s V = 0.392medium

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 63.00—0.0434p < 0.0063Unclearrank-biserial r = 0.575large
Net price per SFMann–Whitney UU = 63.00—0.0434p < 0.0063Unclearrank-biserial r = 0.575large
Living areaMann–Whitney UU = 48.00—0.5148p < 0.0063Unclearrank-biserial r = 0.200small
Year builtMann–Whitney UU = 41.50—0.9280p < 0.0063Unclearrank-biserial r = 0.038negligible
Days on marketMann–Whitney UU = 27.50—0.2856p < 0.0063Unclearrank-biserial r = 0.312medium
Discount from original listMann–Whitney UU = 46.00—0.6334p < 0.0063Unclearrank-biserial r = 0.150small
Price cut before saleChi-squareχ² = 3.3810.0661p < 0.0063UnclearCramér’s V = 0.433medium
Seller paid closing costs or repairsChi-squareχ² = 2.8110.0935p < 0.0063UnclearCramér’s V = 0.395medium

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 November 5, 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.