ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Chandler Creek Sec 17

Round Rock, TX 78664 · 78665
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 · 7:37 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
37
single-family resale homes
Median net sale price
$335,000
average $332,957
Median net price per SF
$184
average $181
Median days on market
32 days
average 65 days
1. SummaryResale homes · 37 sales · October 26, 2025 – October 25, 2026

This study looks at the 37 resale homes sold in Chandler Creek Sec 17 in the 365 days to October 25, 2026. A full year is used because only 21 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 sold37 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 $294K · 9 sales$294K–$329K · 9 sales$335K–$364K · 10 salesOver $364K · 9 sales
3. Quartiles by net sale priceResale homes · 37 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.

2026-10-26T07:37:48.790810 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 9 9 10 9 37 sales Sales per group Under $294K: 9 sales (24%) $294K–$329K: 9 sales (24%) $335K–$364K: 10 sales (27%) Over $364K: 9 sales (24%)
Bottom line

3.1 Key differences

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

Under $294K$294K–$329K$335K–$364KOver $364K
Higher-priced homes Over $364K
  • Sell closer to their first asking price.
  • Are much larger.
  • Sell faster.
Lower-priced homes Under $294K
  • Sell further below their first asking price.
  • Are much smaller.
  • Take longer to sell.

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 $294K$294K–$329K$335K–$364KOver $364KReal difference?
Net price per SF$191 per SF$183 per SF$159 per SF$193 per SFunclear
Living area1,517 SFSmallest1,814 SF2,268 SFLargest2,108 SF✓ large
Year built1999200120022002unclear
Days on market88 daysSlowest6 daysFastest68 days16 days✓ large
Discount from original list8.9%Biggest2.3%8.8%2.0%Smallest✓ large
Price cut before sale67%22%70%22%unclear
Seller paid closing costs or repairs78%78%70%67%unclear
Has a view22%0%20%33%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

2026-10-26T07:37:48.819260 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $294K 9 sales $294K– $329K 9 sales $335K– $364K 10 sales Over $364K 9 sales $0 $100 $200 $191 $183 $159 $193 Net price per SF, average

The average is $193 per SF for homes over $364K and $191 per SF for homes under $294K. It does not move in a straight line; homes over $364K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Homes over $364K are about 590 SF (39%) larger than homes under $294K

2026-10-26T07:37:48.841714 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $294K 9 sales $294K– $329K 9 sales $335K– $364K 10 sales Over $364K 9 sales 0 1,000 2,000 1,517 1,814 2,268 2,108 Living area (SF), average

The average is 2,108 SF for homes over $364K and 1,517 SF for homes under $294K. It does not move in a straight line; homes $335K–$364K are highest. Defined in 8.1.3.

✓ Real difference · large

3.5 Year built: no clear difference

2026-10-26T07:37:48.866910 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $294K 9 sales $294K– $329K 9 sales $335K– $364K 10 sales Over $364K 9 sales 1988 1992 1996 2000 2004 1999 2001 2002 2002 Year built: median (dot) and middle half (bar)

The median is 2002 for homes over $364K and 1999 for homes under $294K. It rises step by step from the lowest range to the highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Homes over $364K sell 72 days faster than homes under $294K

2026-10-26T07:37:48.890162 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $294K 9 sales $294K– $329K 9 sales $335K– $364K 10 sales Over $364K 9 sales 0 50 100 88 6 68 16 Days on market, median

The median is 16 days for homes over $364K and 88 days for homes under $294K. It does not move in a straight line; homes under $294K are highest. Defined in 8.1.5.

✓ Real difference · large

3.7 Homes over $364K sell about 7 percentage points closer to their first asking price than homes under $294K

2026-10-26T07:37:48.912266 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $294K 9 sales $294K– $329K 9 sales $335K– $364K 10 sales Over $364K 9 sales 0.0% 5.0% 10.0% 8.9% 2.3% 8.8% 2.0% Discount from original list, average

The average is 2.0% for homes over $364K and 8.9% for homes under $294K. It does not move in a straight line; homes under $294K are highest. Defined in 8.1.6.

✓ Real difference · large

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

2026-10-26T07:37:48.941896 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 78 22 22 78 0 70 70 20 22 67 33 Under $294K $294K–$329K $335K–$364K Over $364K

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

  • 22% of homes over $364K had a price cut before sale, against 67% of homes under $294K. Defined in 8.1.7.
  • 67% of homes over $364K had the seller pay closing costs or repairs, against 78% of homes under $294K. Defined in 8.1.8.
  • 33% of homes over $364K have a view, against 22% of homes under $294K. 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 $294K9 sales$294K–$329K9 sales$335K–$364K10 salesOver $364K9 salesAll37 salesReal difference?
Net sale price average$267,889$315,667$351,041$395,222$332,957by design
Net price per SF average$191$183$159$193$181unclear
Living area average1,5171,8142,2682,1081,936✓ large
Year built median19992001200220022002unclear

3.10 The numbers: selling

Under $294K9 sales$294K–$329K9 sales$335K–$364K10 salesOver $364K9 salesAll37 salesReal difference?
Days on market median886681632✓ large
Discount from original list average8.9%2.3%8.8%2.0%5.6%✓ large
Price cut before sale67%22%70%22%46%unclear
Seller paid closing costs or repairs78%78%70%67%73%unclear
Has a view22%0%20%33%19%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 · 37 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.

2026-10-26T07:37:48.962451 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 9 9 10 9 37 sales Sales per group Under 1,532 SF: 9 sales (24%) 1,532–1,812 SF: 9 sales (24%) 1,814–2,392 SF: 10 sales (27%) Over 2,392 SF: 9 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 1,532 SF1,532–1,812 SF1,814–2,392 SFOver 2,392 SF
Larger homes Over 2,392 SF
  • Sell for less per square foot.
  • Sell for much more.
Smaller homes Under 1,532 SF
  • Sell for more per square foot.
  • Sell for much less.

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 1,532 SF1,532–1,812 SF1,814–2,392 SFOver 2,392 SFReal difference?
Net sale price$279KLowest$341K$363KHighest$345K✓ large
Net price per SF$213 per SFHighest$201 per SF$180 per SF$129 per SFLowest✓ large
Year built1995200220022002unclear
Days on market87 days16 days14 days61 daysunclear
Discount from original list8.0%4.2%3.0%7.5%unclear
Price cut before sale67%33%20%67%unclear
Seller paid closing costs or repairs78%56%70%89%unclear
Has a view22%0%30%22%unclear

4.3 Homes over 2,392 SF sell for about $67K (24%) more than homes under 1,532 SF

2026-10-26T07:37:48.983683 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,532 SF 9 sales 1,532– 1,812 SF 9 sales 1,814– 2,392 SF 10 sales Over 2,392 SF 9 sales $0K $200K $400K $279K $341K $363K $345K Net sale price, average

The average is $345K for homes over 2,392 SF and $279K for homes under 1,532 SF. It does not move in a straight line; homes 1,814–2,392 SF are highest. Defined in 8.1.1.

✓ Real difference · large

4.4 Homes over 2,392 SF sell for about $84 per SF (39%) less than homes under 1,532 SF

2026-10-26T07:37:49.005722 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,532 SF 9 sales 1,532– 1,812 SF 9 sales 1,814– 2,392 SF 10 sales Over 2,392 SF 9 sales $0 $100 $200 $213 $201 $180 $129 Net price per SF, average

The average is $129 per SF for homes over 2,392 SF and $213 per SF for homes under 1,532 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

✓ Real difference · large

4.5 Year built: no clear difference

2026-10-26T07:37:49.029443 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,532 SF 9 sales 1,532– 1,812 SF 9 sales 1,814– 2,392 SF 10 sales Over 2,392 SF 9 sales 1988 1992 1996 2000 1995 2002 2002 2002 Year built: median (dot) and middle half (bar)

The median is 2002 for homes over 2,392 SF and 1995 for homes under 1,532 SF. It rises 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

2026-10-26T07:37:49.052595 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,532 SF 9 sales 1,532– 1,812 SF 9 sales 1,814– 2,392 SF 10 sales Over 2,392 SF 9 sales 0 50 100 87 16 14 61 Days on market, median

The median is 61 days for homes over 2,392 SF and 87 days for homes under 1,532 SF. It does not move in a straight line; homes under 1,532 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-26T07:37:49.074648 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,532 SF 9 sales 1,532– 1,812 SF 9 sales 1,814– 2,392 SF 10 sales Over 2,392 SF 9 sales 0.0% 2.5% 5.0% 7.5% 8.0% 4.2% 3.0% 7.5% Discount from original list, average

The average is 7.5% for homes over 2,392 SF and 8.0% for homes under 1,532 SF. It does not move in a straight line; homes under 1,532 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

2026-10-26T07:37:49.101220 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 78 22 33 56 0 20 70 30 67 89 22 Under 1,532 SF 1,532–1,812 SF 1,814–2,392 SF Over 2,392 SF

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

  • 67% of homes over 2,392 SF had a price cut before sale, against 67% of homes under 1,532 SF. Defined in 8.1.7.
  • 89% of homes over 2,392 SF had the seller pay closing costs or repairs, against 78% of homes under 1,532 SF. Defined in 8.1.8.
  • 22% of homes over 2,392 SF have a view, against 22% of homes under 1,532 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 1,532 SF9 sales1,532–1,812 SF9 sales1,814–2,392 SF10 salesOver 2,392 SF9 salesAll37 salesReal difference?
Net sale price average$278,694$340,889$363,378$345,487$332,957✓ large
Net price per SF average$213$201$180$129$181✓ large
Living area average1,3171,6912,0302,6961,936by design
Year built median19952002200220022002unclear

4.10 The numbers: selling

Under 1,532 SF9 sales1,532–1,812 SF9 sales1,814–2,392 SF10 salesOver 2,392 SF9 salesAll37 salesReal difference?
Days on market median8716146132unclear
Discount from original list average8.0%4.2%3.0%7.5%5.6%unclear
Price cut before sale67%33%20%67%46%unclear
Seller paid closing costs or repairs78%56%70%89%73%unclear
Has a view22%0%30%22%19%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 · 37 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.

2026-10-26T07:37:49.122019 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 8 10 12 7 37 sales Sales per group Before 2000: 8 sales (22%) 2000–2001: 10 sales (27%) 2002: 12 sales (32%) After 2002: 7 sales (19%)
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 20002000–20012002After 2002Real difference?
Net sale price$294K$321K$355K$356Kunclear
Net price per SF$202 per SF$169 per SF$172 per SF$188 per SFunclear
Living area1,522 SF1,991 SF2,154 SF1,957 SFunclear
Days on market93 days39 days16 days32 daysunclear
Discount from original list7.4%5.2%4.0%6.7%unclear
Price cut before sale62%50%33%43%unclear
Seller paid closing costs or repairs75%80%75%57%unclear
Has a view25%10%17%29%unclear

5.3 Net sale price: no clear difference

2026-10-26T07:37:49.142564 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2000 8 sales 2000– 2001 10 sales 2002 12 sales After 2002 7 sales $0K $200K $400K $294K $321K $355K $356K Net sale price, average

The average is $356K for homes built after 2002 and $294K for homes built before 2000. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-10-26T07:37:49.164704 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2000 8 sales 2000– 2001 10 sales 2002 12 sales After 2002 7 sales $0 $100 $200 $202 $169 $172 $188 Net price per SF, average

The average is $188 per SF for homes built after 2002 and $202 per SF for homes built before 2000. It does not move in a straight line; homes built before 2000 are highest. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-10-26T07:37:49.186253 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2000 8 sales 2000– 2001 10 sales 2002 12 sales After 2002 7 sales 0 1,000 2,000 1,522 1,991 2,154 1,957 Living area (SF), average

The average is 1,957 SF for homes built after 2002 and 1,522 SF for homes built before 2000. It does not move in a straight line; homes built 2002 are highest. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-10-26T07:37:49.208415 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2000 8 sales 2000– 2001 10 sales 2002 12 sales After 2002 7 sales 0 50 100 93 39 16 32 Days on market, median

The median is 32 days for homes built after 2002 and 93 days for homes built before 2000. It does not move in a straight line; homes built before 2000 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-10-26T07:37:49.230328 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2000 8 sales 2000– 2001 10 sales 2002 12 sales After 2002 7 sales 0.0% 2.5% 5.0% 7.5% 7.4% 5.2% 4.0% 6.7% Discount from original list, average

The average is 6.7% for homes built after 2002 and 7.4% for homes built before 2000. It does not move in a straight line; homes built before 2000 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

2026-10-26T07:37:49.256441 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% 62 75 25 50 80 10 33 75 17 43 57 29 Before 2000 2000–2001 2002 After 2002

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

  • 43% of homes built after 2002 had a price cut before sale, against 62% of homes built before 2000. Defined in 8.1.7.
  • 57% of homes built after 2002 had the seller pay closing costs or repairs, against 75% of homes built before 2000. Defined in 8.1.8.
  • 29% of homes built after 2002 have a view, against 25% of homes built before 2000. 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 20008 sales2000–200110 sales200212 salesAfter 20027 salesAll37 salesReal difference?
Net sale price average$294,335$321,165$355,090$356,000$332,957unclear
Net price per SF average$202$169$172$188$181unclear
Living area average1,5221,9912,1541,9571,936unclear
Year built median19902001200220042002by design

5.10 The numbers: selling

Before 20008 sales2000–200110 sales200212 salesAfter 20027 salesAll37 salesReal difference?
Days on market median9339163232unclear
Discount from original list average7.4%5.2%4.0%6.7%5.6%unclear
Price cut before sale62%50%33%43%46%unclear
Seller paid closing costs or repairs75%80%75%57%73%unclear
Has a view25%10%17%29%19%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 · 37 sales · October 26, 2025 – October 25, 2026

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

2026-10-26T07:37:49.275187 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 7 30 37 sales Sales per group View: 7 sales (19%) No view: 30 sales (81%)
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$348K$329Kunclear
Net price per SF$180 per SF$181 per SFunclear
Living area1,993 SF1,923 SFunclear
Year built20022002unclear
Days on market29 days32 daysunclear
Discount from original list5.3%5.7%unclear
Price cut before sale43%47%unclear
Seller paid closing costs or repairs86%70%unclear

6.3 Net sale price: no clear difference

2026-10-26T07:37:49.291931 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 7 sales No view 30 sales $0K $100K $200K $300K $400K $348K $329K Net sale price, average

The average is $348K for homes with a view and $329K 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

2026-10-26T07:37:49.311173 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 7 sales No view 30 sales $0 $50 $100 $150 $200 $180 $181 Net price per SF, average

The average is $180 per SF for homes with a view and $181 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

2026-10-26T07:37:49.396177 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 7 sales No view 30 sales 0 500 1,000 1,500 2,000 1,993 1,923 Living area (SF), average

The average is 1,993 SF for homes with a view and 1,923 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-26T07:37:49.416032 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 7 sales No view 30 sales 2000 2001 2002 2003 2002 2002 Year built: median (dot) and middle half (bar)

The median is 2002 for homes with a view and 2002 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-26T07:37:49.434234 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 7 sales No view 30 sales 0 10 20 30 29 32 Days on market, median

The median is 29 days for homes with a view and 32 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

2026-10-26T07:37:49.451672 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 7 sales No view 30 sales 0.0% 2.0% 4.0% 6.0% 5.3% 5.7% Discount from original list, average

The average is 5.3% for homes with a view and 5.7% 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

2026-10-26T07:37:49.470509 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 43 86 47 70 View No view

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

  • 43% of homes with a view had a price cut before sale, against 47% of homes without a view. Defined in 8.1.7.
  • 86% 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

View7 salesNo view30 salesAll37 salesReal difference?
Net sale price average$347,871$329,477$332,957unclear
Net price per SF average$180$181$181unclear
Living area average1,9931,9231,936unclear
Year built median200220022002unclear

6.11 The numbers: selling

View7 salesNo view30 salesAll37 salesReal difference?
Days on market median293232unclear
Discount from original list average5.3%5.7%5.6%unclear
Price cut before sale43%47%46%unclear
Seller paid closing costs or repairs86%70%73%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 Chandler Creek Sec 17.

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
37 resale sales. Average $332,957; median $335,000; standard deviation $49,757; middle half (25th–75th percentile) $294,000–$364,100; lowest $240,000, highest $450,000. 27 sales had a seller payment; their median payment was $7,500.

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
37 resale sales. Average $181; median $184; standard deviation $38; middle half (25th–75th percentile) $153–$208; lowest $87, highest $252.

8.1.3 Living area

In simple terms
The heated and cooled space, as listed in the MLS. Garages and porches are not counted.
Statistically
RESO LivingArea, in square feet. Sales under 400 SF are treated as entry errors and left out.
The data
37 resale sales. Average 1,936; median 1,814; standard deviation 533; middle half (25th–75th percentile) 1,532–2,392; lowest 1,116, highest 2,982.

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
37 resale sales. Average 2000; median 2002; standard deviation 5; middle half (25th–75th percentile) 2000–2002; lowest 1986, highest 2005.

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
37 resale sales. Average 65; median 32; standard deviation 100; middle half (25th–75th percentile) 10–88; lowest 3, highest 581. 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
37 resale sales. Average 5.6%; median 4.9%; standard deviation 4.9%; middle half (25th–75th percentile) 2.0%–9.1%; lowest −3.8%, highest 17.2%. 3 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
17 of 37 resale sales (45.9%).

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
27 of 37 resale sales (73.0%).

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
7 sales with a view, 30 without, 0 unclassified. Most common View entries: None 22, Neighborhood 11, Park/Greenbelt 4, Trees/Woods 3, Pool 1.

8.2 Methods

8.2.1 Data source

In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
Bridge Interactive RESO Web API (OData), ABOR dataset, every field returned. Filter: StandardStatus = Closed, PropertyType = Residential, City = Round Rock, SubdivisionName contains any of “chandler creek”, “meadows at chandler creek”, “chandler crk” (case-insensitive). A record is kept when its subdivision name belongs to the Chandler Creek Sec 17 family, the same rule comparable sales use (it includes Meadows At Chandler Creek Sec 04, proven adjacent and priced alike).
The data
Pulled October 26, 2026: 42 closed Chandler Creek Sec 17 records over the prior year, in ZIP 78664, 78665. 20 subdivision spellings kept, the most common: Chandler Creek Sec 17 (3); Chandler Creek Sec 06B Replacement (3); Chandler Creek Sec 11 (3); Chandler Creek Sec 14 (3); Chandler Creek Condo Ph 01-B (3); Chandler Creek Sec 19 (3); Chandler Creek Sec 21 (3); Chandler Creek Sec 22 (3); Meadows At Chandler Creek Sec 04 (3); Chandler Creek Sec 10 (2); Chandler Creek Sec 16 (2); Meadows At Chandler Creek Sec 01 Rev Bloc (2); and 8 more (9 records). Names found by the search but not part of Chandler Creek Sec 17, left out: The Villas at Chandler Creek (7); Meadows Chandler Creek Sec 05 (3); Enclave at Chandler Creek (3); VILLAS AT CHANDLER CREEK (2); Villas of Chandler Creek (1); Amending Plat/Chandler Crk Sec (1); Chandler Crk Mdws Sec 05 (1); VILLAS AT CHANDLER CREEK CONDO (1); Meadows Chandler Creek Sec 05 Lts 01-7 Blk B (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 21 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
37 single-family sales in the window: 37 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
37 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
3 sale(s) other than single-family homes (condo, townhome and similar); 1 sale(s) with concessions above 10% of price; 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 $294K”.
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 $294K: $240,000–$290,150 (9 sales); $294K–$329K: $294,000–$329,000 (9 sales); $335K–$364K: $335,000–$364,100 (10 sales); Over $364K: $365,000–$450,000 (9 sales)
Quartiles by living area: Under 1,532 SF: 1,116–1,507 SF (9 sales); 1,532–1,812 SF: 1,532–1,812 SF (9 sales); 1,814–2,392 SF: 1,814–2,392 SF (10 sales); Over 2,392 SF: 2,436–2,982 SF (9 sales)
Quartiles by year built: Before 2000: 1986–1999 (8 sales); 2000–2001: 2000–2001 (10 sales); 2002: 2002–2002 (12 sales); After 2002: 2003–2005 (7 sales)
View and no view: View: MLS lists a view (7 sales); No view: None or Neighborhood (30 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 $332,957, median $335,000. Days on market: average 65, median 32: 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
5 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 = 6.2530.1002p < 0.0063Unclearε² = 0.174large
Living areaKruskal–WallisH = 14.0230.0029p < 0.0063Yesε² = 0.389large
Year builtKruskal–WallisH = 7.6430.0540p < 0.0063Unclearε² = 0.212large
Days on marketKruskal–WallisH = 13.7030.0033p < 0.0063Yesε² = 0.381large
Discount from original listKruskal–WallisH = 18.9330.0003p < 0.0063Yesε² = 0.526large
Price cut before saleChi-squareχ² = 7.9630.0467p < 0.0063UnclearCramér’s V = 0.464medium
Seller paid closing costs or repairsChi-squareχ² = 0.4430.9325p < 0.0063UnclearCramér’s V = 0.109small
Has a viewChi-squareχ² = 3.3930.3352p < 0.0063UnclearCramér’s V = 0.303medium

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 15.9130.0012p < 0.0063Yesε² = 0.442large
Net price per SFKruskal–WallisH = 24.613< 0.0001p < 0.0063Yesε² = 0.684large
Year builtKruskal–WallisH = 9.7130.0212p < 0.0063Unclearε² = 0.270large
Days on marketKruskal–WallisH = 8.1830.0425p < 0.0063Unclearε² = 0.227large
Discount from original listKruskal–WallisH = 6.8030.0786p < 0.0063Unclearε² = 0.189large
Price cut before saleChi-squareχ² = 6.4030.0937p < 0.0063UnclearCramér’s V = 0.416medium
Seller paid closing costs or repairsChi-squareχ² = 2.6930.4418p < 0.0063UnclearCramér’s V = 0.270small
Has a viewChi-squareχ² = 3.0330.3872p < 0.0063UnclearCramér’s V = 0.286small

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 9.4730.0237p < 0.0063Unclearε² = 0.263large
Net price per SFKruskal–WallisH = 3.6030.3080p < 0.0063Unclearε² = 0.100medium
Living areaKruskal–WallisH = 8.4230.0380p < 0.0063Unclearε² = 0.234large
Days on marketKruskal–WallisH = 7.0730.0698p < 0.0063Unclearε² = 0.196large
Discount from original listKruskal–WallisH = 3.2330.3569p < 0.0063Unclearε² = 0.090medium
Price cut before saleChi-squareχ² = 1.7430.6271p < 0.0063UnclearCramér’s V = 0.217small
Seller paid closing costs or repairsChi-squareχ² = 1.1830.7575p < 0.0063UnclearCramér’s V = 0.179small
Has a viewChi-squareχ² = 1.1830.7587p < 0.0063UnclearCramér’s V = 0.178small

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 129.00—0.3621p < 0.0063Unclearrank-biserial r = 0.229small
Net price per SFMann–Whitney UU = 97.00—0.7761p < 0.0063Unclearrank-biserial r = 0.076negligible
Living areaMann–Whitney UU = 116.00—0.6903p < 0.0063Unclearrank-biserial r = 0.105small
Year builtMann–Whitney UU = 117.50—0.6347p < 0.0063Unclearrank-biserial r = 0.119small
Days on marketMann–Whitney UU = 96.00—0.7416p < 0.0063Unclearrank-biserial r = 0.086negligible
Discount from original listMann–Whitney UU = 114.00—0.7416p < 0.0063Unclearrank-biserial r = 0.086negligible
Price cut before saleChi-squareχ² = 0.0310.8555p < 0.0063UnclearCramér’s V = 0.030negligible
Seller paid closing costs or repairsChi-squareχ² = 0.7110.3992p < 0.0063UnclearCramér’s V = 0.139small

8.4 Data notes

Left out of the analysis: 0 new-construction sales (basic statistics only, section 7); 3 sale(s) other than single-family homes (condo, townhome and similar); 1 sale(s) with concessions above 10% of price; 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 37 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.