ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Block House Creek

Leander, TX 78641
Resale homes · closed Nov 6 – Nov 5, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
November 6, 2026 · 7:06 AM CST
MARKET STUDY All analysis covers resale homes only. New construction appears once, in its own section. Click any dot on the map for that sale.
Resale sales, 365 days
50
single-family resale homes
Median net sale price
$331,000
average $343,713
Median net price per SF
$193
average $193
Median days on market
46 days
average 67 days
1. SummaryResale homes · 50 sales · November 6, 2025 – November 5, 2026

This study looks at the 50 resale homes sold in Block House Creek in the 365 days to November 5, 2026. A full year is used because only 27 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 sold50 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 $304K · 12 sales$304K–$328K · 13 sales$334K–$380K · 14 salesOver $380K · 11 sales
3. Quartiles by net sale priceResale homes · 50 sales · November 6, 2025 – November 5, 2026

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

2026-11-06T07:06:28.821765 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 12 13 14 11 50 sales Sales per group Under $304K: 12 sales (24%) $304K–$328K: 13 sales (26%) $334K–$380K: 14 sales (28%) Over $380K: 11 sales (22%)
Bottom line

3.1 Key differences

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

Under $304K$304K–$328K$334K–$380KOver $380K
Higher-priced homes Over $380K
  • Are much larger.
Lower-priced homes Under $304K
  • 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 $304K$304K–$328K$334K–$380KOver $380KReal difference?
Net price per SF$193 per SF$208 per SF$185 per SF$187 per SFunclear
Living area1,471 SFSmallest1,551 SF1,965 SF2,316 SFLargest✓ large
Year built2000199919962001unclear
Days on market48 days34 days50 days29 daysunclear
Discount from original list7.7%4.6%6.8%5.5%unclear
Price cut before sale67%54%43%55%unclear
Seller paid closing costs or repairs83%77%64%45%unclear
Has a view0%15%7%18%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

2026-11-06T07:06:28.850249 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $304K 12 sales $304K– $328K 13 sales $334K– $380K 14 sales Over $380K 11 sales $0 $100 $200 $193 $208 $185 $187 Net price per SF, average

The average is $187 per SF for homes over $380K and $193 per SF for homes under $304K. It does not move in a straight line; homes $304K–$328K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Homes over $380K are about 840 SF (57%) larger than homes under $304K

2026-11-06T07:06:28.873330 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $304K 12 sales $304K– $328K 13 sales $334K– $380K 14 sales Over $380K 11 sales 0 1,000 2,000 1,471 1,551 1,965 2,316 Living area (SF), average

The average is 2,316 SF for homes over $380K and 1,471 SF for homes under $304K. 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

2026-11-06T07:06:28.898621 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $304K 12 sales $304K– $328K 13 sales $334K– $380K 14 sales Over $380K 11 sales 1990 1993 1996 1999 2002 2000 1999 1996 2001 Year built: median (dot) and middle half (bar)

The median is 2001 for homes over $380K and 2000 for homes under $304K. It does not move in a straight line; homes over $380K are highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-11-06T07:06:28.922386 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $304K 12 sales $304K– $328K 13 sales $334K– $380K 14 sales Over $380K 11 sales 0 20 40 48 34 50 29 Days on market, median

The median is 29 days for homes over $380K and 48 days for homes under $304K. It does not move in a straight line; homes $334K–$380K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-11-06T07:06:28.945024 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $304K 12 sales $304K– $328K 13 sales $334K– $380K 14 sales Over $380K 11 sales 0.0% 2.5% 5.0% 7.5% 7.7% 4.6% 6.8% 5.5% Discount from original list, average

The average is 5.5% for homes over $380K and 7.7% for homes under $304K. It does not move in a straight line; homes under $304K 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

2026-11-06T07:06:28.975390 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% 67 83 0 54 77 15 43 64 7 55 45 18 Under $304K $304K–$328K $334K–$380K Over $380K

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

  • 55% of homes over $380K had a price cut before sale, against 67% of homes under $304K. Defined in 8.1.7.
  • 45% of homes over $380K had the seller pay closing costs or repairs, against 83% of homes under $304K. Defined in 8.1.8.
  • 18% of homes over $380K have a view, against 0% of homes under $304K. 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 $304K12 sales$304K–$328K13 sales$334K–$380K14 salesOver $380K11 salesAll50 salesReal difference?
Net sale price average$278,933$320,902$357,047$424,372$343,713by design
Net price per SF average$193$208$185$187$193unclear
Living area average1,4711,5511,9652,3161,816✓ large
Year built median20001999199620011998unclear

3.10 The numbers: selling

Under $304K12 sales$304K–$328K13 sales$334K–$380K14 salesOver $380K11 salesAll50 salesReal difference?
Days on market median4834502946unclear
Discount from original list average7.7%4.6%6.8%5.5%6.2%unclear
Price cut before sale67%54%43%55%54%unclear
Seller paid closing costs or repairs83%77%64%45%68%unclear
Has a view0%15%7%18%10%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 · 50 sales · November 6, 2025 – November 5, 2026

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

2026-11-06T07:06:28.996067 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 12 13 13 12 50 sales Sales per group Under 1,531 SF: 12 sales (24%) 1,531–1,667 SF: 13 sales (26%) 1,678–2,037 SF: 13 sales (26%) Over 2,037 SF: 12 sales (24%)
Bottom line

4.1 Key differences

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

Under 1,531 SF1,531–1,667 SF1,678–2,037 SFOver 2,037 SF
Larger homes Over 2,037 SF
  • Sell for much more.
  • Sell for less per square foot.
Smaller homes Under 1,531 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 1,531 SF1,531–1,667 SF1,678–2,037 SFOver 2,037 SFReal difference?
Net sale price$292KLowest$323K$360K$400KHighest✓ large
Net price per SF$212 per SFHighest$202 per SF$193 per SF$165 per SFLowest✓ large
Year built2000199719972002unclear
Days on market38 days46 days21 days98 daysunclear
Discount from original list5.8%5.7%3.5%10.0%unclear
Price cut before sale58%46%38%75%unclear
Seller paid closing costs or repairs92%62%62%58%unclear
Has a view8%15%0%17%unclear

4.3 Homes over 2,037 SF sell for about $108K (37%) more than homes under 1,531 SF

2026-11-06T07:06:29.016413 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,531 SF 12 sales 1,531– 1,667 SF 13 sales 1,678– 2,037 SF 13 sales Over 2,037 SF 12 sales $0K $200K $400K $292K $323K $360K $400K Net sale price, average

The average is $400K for homes over 2,037 SF and $292K for homes under 1,531 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

✓ Real difference · large

4.4 Homes over 2,037 SF sell for about $47 per SF (22%) less than homes under 1,531 SF

2026-11-06T07:06:29.039024 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,531 SF 12 sales 1,531– 1,667 SF 13 sales 1,678– 2,037 SF 13 sales Over 2,037 SF 12 sales $0 $100 $200 $212 $202 $193 $165 Net price per SF, average

The average is $165 per SF for homes over 2,037 SF and $212 per SF for homes under 1,531 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

2026-11-06T07:06:29.062237 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,531 SF 12 sales 1,531– 1,667 SF 13 sales 1,678– 2,037 SF 13 sales Over 2,037 SF 12 sales 1988 1992 1996 2000 2000 1997 1997 2002 Year built: median (dot) and middle half (bar)

The median is 2002 for homes over 2,037 SF and 2000 for homes under 1,531 SF. It does not move in a straight line; homes over 2,037 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-11-06T07:06:29.085082 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,531 SF 12 sales 1,531– 1,667 SF 13 sales 1,678– 2,037 SF 13 sales Over 2,037 SF 12 sales 0 50 100 38 46 21 98 Days on market, median

The median is 98 days for homes over 2,037 SF and 38 days for homes under 1,531 SF. It does not move in a straight line; homes over 2,037 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-11-06T07:06:29.106884 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,531 SF 12 sales 1,531– 1,667 SF 13 sales 1,678– 2,037 SF 13 sales Over 2,037 SF 12 sales 0.0% 5.0% 10.0% 5.8% 5.7% 3.5% 10.0% Discount from original list, average

The average is 10.0% for homes over 2,037 SF and 5.8% for homes under 1,531 SF. It does not move in a straight line; homes over 2,037 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

2026-11-06T07:06:29.133022 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% 58 92 8 46 62 15 38 62 0 75 58 17 Under 1,531 SF 1,531–1,667 SF 1,678–2,037 SF Over 2,037 SF

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

  • 75% of homes over 2,037 SF had a price cut before sale, against 58% of homes under 1,531 SF. Defined in 8.1.7.
  • 58% of homes over 2,037 SF had the seller pay closing costs or repairs, against 92% of homes under 1,531 SF. Defined in 8.1.8.
  • 17% of homes over 2,037 SF have a view, against 8% of homes under 1,531 SF. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance

4.9 The numbers: price and size

Under 1,531 SF12 sales1,531–1,667 SF13 sales1,678–2,037 SF13 salesOver 2,037 SF12 salesAll50 salesReal difference?
Net sale price average$291,848$323,058$360,242$400,049$343,713✓ large
Net price per SF average$212$202$193$165$193✓ large
Living area average1,3851,5961,8662,4321,816by design
Year built median20001997199720021998unclear

4.10 The numbers: selling

Under 1,531 SF12 sales1,531–1,667 SF13 sales1,678–2,037 SF13 salesOver 2,037 SF12 salesAll50 salesReal difference?
Days on market median3846219846unclear
Discount from original list average5.8%5.7%3.5%10.0%6.2%unclear
Price cut before sale58%46%38%75%54%unclear
Seller paid closing costs or repairs92%62%62%58%68%unclear
Has a view8%15%0%17%10%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 · 50 sales · November 6, 2025 – November 5, 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.

2026-11-06T07:06:29.153227 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 12 14 14 10 50 sales Sales per group Before 1993: 12 sales (24%) 1993–1998: 14 sales (28%) 1999–2001: 14 sales (28%) After 2001: 10 sales (20%)
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 19931993–19981999–2001After 2001Real difference?
Net sale price$342K$342K$330K$367Kunclear
Net price per SF$201 per SF$190 per SF$194 per SF$187 per SFunclear
Living area1,740 SF1,821 SF1,727 SF2,027 SFunclear
Days on market22 days79 days34 days78 daysunclear
Discount from original list4.6%7.8%4.3%8.4%unclear
Price cut before sale50%43%57%70%unclear
Seller paid closing costs or repairs50%64%86%70%unclear
Has a view17%7%7%10%unclear

5.3 Net sale price: no clear difference

2026-11-06T07:06:29.173361 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1993 12 sales 1993– 1998 14 sales 1999– 2001 14 sales After 2001 10 sales $0K $200K $400K $342K $342K $330K $367K Net sale price, average

The average is $367K for homes built after 2001 and $342K for homes built before 1993. It does not move in a straight line; homes built after 2001 are highest. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-11-06T07:06:29.195256 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1993 12 sales 1993– 1998 14 sales 1999– 2001 14 sales After 2001 10 sales $0 $100 $200 $201 $190 $194 $187 Net price per SF, average

The average is $187 per SF for homes built after 2001 and $201 per SF for homes built before 1993. It does not move in a straight line; homes built before 1993 are highest. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-11-06T07:06:29.216284 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1993 12 sales 1993– 1998 14 sales 1999– 2001 14 sales After 2001 10 sales 0 1,000 2,000 1,740 1,821 1,727 2,027 Living area (SF), average

The average is 2,027 SF for homes built after 2001 and 1,740 SF for homes built before 1993. It does not move in a straight line; homes built after 2001 are highest. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-11-06T07:06:29.237551 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1993 12 sales 1993– 1998 14 sales 1999– 2001 14 sales After 2001 10 sales 0 25 50 75 22 79 34 78 Days on market, median

The median is 78 days for homes built after 2001 and 22 days for homes built before 1993. It does not move in a straight line; homes built 1993–1998 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-11-06T07:06:29.260128 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1993 12 sales 1993– 1998 14 sales 1999– 2001 14 sales After 2001 10 sales 0.0% 5.0% 10.0% 4.6% 7.8% 4.3% 8.4% Discount from original list, average

The average is 8.4% for homes built after 2001 and 4.6% for homes built before 1993. It does not move in a straight line; homes built after 2001 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

2026-11-06T07:06:29.285110 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 50 50 17 43 64 7 57 86 7 70 70 10 Before 1993 1993–1998 1999–2001 After 2001

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

  • 70% of homes built after 2001 had a price cut before sale, against 50% of homes built before 1993. Defined in 8.1.7.
  • 70% of homes built after 2001 had the seller pay closing costs or repairs, against 50% of homes built before 1993. Defined in 8.1.8.
  • 10% of homes built after 2001 have a view, against 17% of homes built before 1993. 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 199312 sales1993–199814 sales1999–200114 salesAfter 200110 salesAll50 salesReal difference?
Net sale price average$342,146$341,756$330,278$367,143$343,713unclear
Net price per SF average$201$190$194$187$193unclear
Living area average1,7401,8211,7272,0271,816unclear
Year built median19861997200120031998by design

5.10 The numbers: selling

Before 199312 sales1993–199814 sales1999–200114 salesAfter 200110 salesAll50 salesReal difference?
Days on market median2279347846unclear
Discount from original list average4.6%7.8%4.3%8.4%6.2%unclear
Price cut before sale50%43%57%70%54%unclear
Seller paid closing costs or repairs50%64%86%70%68%unclear
Has a view17%7%7%10%10%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 · 50 sales · November 6, 2025 – November 5, 2026

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

2026-11-06T07:06:29.303426 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 44 49 sales Sales per group View: 5 sales (10%) No view: 44 sales (90%)
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$365K$343Kunclear
Net price per SF$190 per SF$195 per SFunclear
Living area1,995 SF1,793 SFunclear
Year built19971998unclear
Days on market30 days46 daysunclear
Discount from original list4.7%6.2%unclear
Price cut before sale40%57%unclear
Seller paid closing costs or repairs60%70%unclear

6.3 Net sale price: no clear difference

2026-11-06T07:06:29.319918 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 44 sales $0K $100K $200K $300K $400K $365K $343K Net sale price, average

The average is $365K for homes with a view and $343K 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

2026-11-06T07:06:29.338568 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 44 sales $0 $50 $100 $150 $200 $190 $195 Net price per SF, average

The average is $190 per SF for homes with a view and $195 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

2026-11-06T07:06:29.378848 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 44 sales 0 500 1,000 1,500 2,000 1,995 1,793 Living area (SF), average

The average is 1,995 SF for homes with a view and 1,793 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-11-06T07:06:29.399108 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 44 sales 1992 1994 1996 1998 2000 1997 1998 Year built: median (dot) and middle half (bar)

The median is 1997 for homes with a view and 1998 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-11-06T07:06:29.417012 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 44 sales 0 20 40 30 46 Days on market, median

The median is 30 days for homes with a view and 46 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

2026-11-06T07:06:29.434658 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 44 sales 0.0% 2.0% 4.0% 6.0% 4.7% 6.2% Discount from original list, average

The average is 4.7% for homes with a view and 6.2% 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

2026-11-06T07:06:29.452989 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 40 60 57 70 View No view

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

  • 40% of homes with a view had a price cut before sale, against 57% of homes without a view. Defined in 8.1.7.
  • 60% of homes with a view had the seller pay closing costs or repairs, against 70% of homes without a view. Defined in 8.1.8.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance

6.10 The numbers: price and size

View5 salesNo view44 salesAll49 salesReal difference?
Net sale price average$364,880$343,489$345,672unclear
Net price per SF average$190$195$195unclear
Living area average1,9951,7931,813unclear
Year built median199719981998unclear

6.11 The numbers: selling

View5 salesNo view44 salesAll49 salesReal difference?
Days on market median304646unclear
Discount from original list average4.7%6.2%6.1%unclear
Price cut before sale40%57%55%unclear
Seller paid closing costs or repairs60%70%69%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 6, 2025 – November 5, 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 Block House Creek.

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
50 resale sales. Average $343,713; median $331,000; standard deviation $54,652; middle half (25th–75th percentile) $305,750–$380,000; lowest $224,000, highest $466,000. 34 sales had a seller payment; their median payment was $6,525.

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
50 resale sales. Average $193; median $193; standard deviation $26; middle half (25th–75th percentile) $173–$212; lowest $126, highest $253.

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
50 resale sales. Average 1,816; median 1,672; standard deviation 416; middle half (25th–75th percentile) 1,532–2,033; lowest 1,160, highest 2,916.

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
50 resale sales. Average 1996; median 1998; standard deviation 6; middle half (25th–75th percentile) 1993–2001; lowest 1983, highest 2003.

8.1.5 Days on market

In simple terms
How many days the home was on the market before the buyer's offer was accepted, counting any earlier listing periods (relists). This is the days on market agents and clients quote.
Statistically
CDOM = max(CumulativeDaysOnMarket, DaysOnMarket, PurchaseContractDate − ListingContractDate). The MLS counter can freeze at a price change, so the contract-date gap is a floor. Summarized by the median, because a few homes that sat for months pull an average up.
The data
50 resale sales. Average 67; median 46; standard deviation 72; middle half (25th–75th percentile) 10–106; lowest 2, highest 355. 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
50 resale sales. Average 6.2%; median 5.3%; standard deviation 5.4%; middle half (25th–75th percentile) 2.6%–9.4%; lowest −6.2%, highest 17.8%. 5 sales closed above their first asking price.

8.1.7 Price cut before sale

In simple terms
The asking price was lowered at least once before the home went under contract.
Statistically
Indicator: ListPrice at close < OriginalListPrice. Reported as the share of sales (%).
The data
27 of 50 resale sales (54.0%).

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
34 of 50 resale sales (68.0%).

8.1.9 Has a view

In simple terms
The MLS says the home looks over something: a greenbelt or park, trees, golf course, hill country, water and similar.
Statistically
View = the View field holds any entry other than “None”, “Neighborhood” or “See Remarks”. No view = only “None” and/or “Neighborhood”. A record whose only entry is “See Remarks” cannot be classified and is left out of the view slice.
The data
5 sales with a view, 44 without, 1 unclassified. Most common View entries: None 33, Neighborhood 11, Park/Greenbelt 3, Trees/Woods 2, Hill Country 1.

8.2 Methods

8.2.1 Data source

In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
ABOR MLS via secure APIs, read from ALEX's copy of the MLS (refreshed every 15 minutes; this pull as of 2026-11-06 13:00 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Leander, SubdivisionName contains any of “block house creek”, “block house crk”, “blockhouse creek”, “blockhouse crk” (case-insensitive). A record is kept when its subdivision name belongs to the Block House Creek family, the same rule comparable sales use.
The data
Pulled November 6, 2026: 51 closed Block House Creek records over the prior year, in ZIP 78641. 26 subdivision spellings kept, the most common: Block House Creek Ph D Sec 02 (6); Block House Creek (6); Block House Creek Ph G (3); Block House Creek Ph E Sec 610 (2); Block House Creek Ph D Sec 607 (2); Block House Creek Ph D Sec 05 (2); Block House Creek Ph D Sec 01 (2); Block House Crk Ph C Sec 01 (2); Block House Creek Ph E Sec 614 (2); Block House Creek Ph C Sec 1 (2); Block House Creek Ph D Sec 608 (2); Block House Creek Sec 04 (2); and 14 more (18 records). Names found by the search but not part of Block House Creek, left out: BLOCK HOUSE CREEK PHS E 610 (1); Vineyard At Block House Creek (1); Settlement Blockhouse Crk Sec (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 27 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from November 6, 2025 to November 5, 2026 inclusive.
The data
50 single-family sales in the window: 50 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
50 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
1 sale(s) with no original list price

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 $304K”.
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 $304K: $224,000–$299,601 (12 sales); $304K–$328K: $304,000–$328,000 (13 sales); $334K–$380K: $334,000–$380,000 (14 sales); Over $380K: $395,000–$466,000 (11 sales)
Quartiles by living area: Under 1,531 SF: 1,160–1,522 SF (12 sales); 1,531–1,667 SF: 1,531–1,667 SF (13 sales); 1,678–2,037 SF: 1,678–2,037 SF (13 sales); Over 2,037 SF: 2,175–2,916 SF (12 sales)
Quartiles by year built: Before 1993: 1983–1992 (12 sales); 1993–1998: 1993–1998 (14 sales); 1999–2001: 1999–2001 (14 sales); After 2001: 2002–2003 (10 sales)
View and no view: View: MLS lists a view (5 sales); No view: None or Neighborhood (44 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 $343,713, median $331,000. Days on market: average 67, median 46: 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
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 = 8.0930.0442p < 0.0063Unclearε² = 0.165large
Living areaKruskal–WallisH = 33.913< 0.0001p < 0.0063Yesε² = 0.692large
Year builtKruskal–WallisH = 1.3230.7249p < 0.0063Unclearε² = 0.027small
Days on marketKruskal–WallisH = 0.2230.9736p < 0.0063Unclearε² = 0.005negligible
Discount from original listKruskal–WallisH = 2.6630.4467p < 0.0063Unclearε² = 0.054small
Price cut before saleChi-squareχ² = 1.4830.6877p < 0.0063UnclearCramér’s V = 0.172small
Seller paid closing costs or repairsChi-squareχ² = 4.4330.2186p < 0.0063UnclearCramér’s V = 0.298small
Has a viewChi-squareχ² = 2.7030.4407p < 0.0063UnclearCramér’s V = 0.232small

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 29.583< 0.0001p < 0.0063Yesε² = 0.604large
Net price per SFKruskal–WallisH = 24.253< 0.0001p < 0.0063Yesε² = 0.495large
Year builtKruskal–WallisH = 6.6030.0858p < 0.0063Unclearε² = 0.135medium
Days on marketKruskal–WallisH = 5.2030.1575p < 0.0063Unclearε² = 0.106medium
Discount from original listKruskal–WallisH = 7.5930.0553p < 0.0063Unclearε² = 0.155large
Price cut before saleChi-squareχ² = 3.8130.2831p < 0.0063UnclearCramér’s V = 0.276small
Seller paid closing costs or repairsChi-squareχ² = 4.1030.2506p < 0.0063UnclearCramér’s V = 0.286small
Has a viewChi-squareχ² = 2.4930.4766p < 0.0063UnclearCramér’s V = 0.223small

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 2.8630.4135p < 0.0063Unclearε² = 0.058small
Net price per SFKruskal–WallisH = 2.4530.4844p < 0.0063Unclearε² = 0.050small
Living areaKruskal–WallisH = 2.7130.4388p < 0.0063Unclearε² = 0.055small
Days on marketKruskal–WallisH = 3.9030.2727p < 0.0063Unclearε² = 0.080medium
Discount from original listKruskal–WallisH = 5.5930.1335p < 0.0063Unclearε² = 0.114medium
Price cut before saleChi-squareχ² = 1.8630.6012p < 0.0063UnclearCramér’s V = 0.193small
Seller paid closing costs or repairsChi-squareχ² = 3.9130.2710p < 0.0063UnclearCramér’s V = 0.280small
Has a viewChi-squareχ² = 0.8530.8383p < 0.0063UnclearCramér’s V = 0.130small

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 140.50—0.3217p < 0.0063Unclearrank-biserial r = 0.277small
Net price per SFMann–Whitney UU = 107.00—0.9362p < 0.0063Unclearrank-biserial r = 0.027negligible
Living areaMann–Whitney UU = 128.00—0.5633p < 0.0063Unclearrank-biserial r = 0.164small
Year builtMann–Whitney UU = 90.50—0.5264p < 0.0063Unclearrank-biserial r = 0.177small
Days on marketMann–Whitney UU = 107.00—0.9342p < 0.0063Unclearrank-biserial r = 0.027negligible
Discount from original listMann–Whitney UU = 81.00—0.3574p < 0.0063Unclearrank-biserial r = 0.264small
Price cut before saleChi-squareχ² = 0.5110.4737p < 0.0063UnclearCramér’s V = 0.102small
Seller paid closing costs or repairsChi-squareχ² = 0.2310.6308p < 0.0063UnclearCramér’s V = 0.069negligible

8.4 Data notes

Left out of the analysis: 0 new-construction sales (basic statistics only, section 7); 1 sale(s) with no original list price. 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 50 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 6, 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.