ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Sonterra

Jarrell, TX 76537 · 76588
Resale homes · closed Oct 30 – Oct 29, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
October 30, 2026 · 6:50 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
80
single-family resale homes
Median net sale price
$238,138
average $233,852
Median net price per SF
$135
average $132
Median days on market
88 days
average 95 days
1. SummaryResale homes · 80 sales · October 30, 2025 – October 29, 2026

This study looks at the 80 resale homes sold in Sonterra in the 365 days to October 29, 2026. A full year is used because only 52 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 sold80 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 $212K · 20 sales$212K–$238K · 20 sales$238K–$259K · 20 salesOver $259K · 20 sales
3. Quartiles by net sale priceResale homes · 80 sales · October 30, 2025 – October 29, 2026

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

2026-10-30T06:50:22.056737 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 20 20 20 20 80 sales Sales per group Under $212K: 20 sales (25%) $212K–$238K: 20 sales (25%) $238K–$259K: 20 sales (25%) Over $259K: 20 sales (25%)
Bottom line

3.1 Key differences

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

Under $212K$212K–$238K$238K–$259KOver $259K
Higher-priced homes Over $259K
  • Are much larger.
  • Sell closer to their first asking price.
Lower-priced homes Under $212K
  • Are much smaller.
  • Sell further below their first asking price.

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 $212K$212K–$238K$238K–$259KOver $259KReal difference?
Net price per SF$130 per SF$140 per SF$128 per SF$131 per SFunclear
Living area1,454 SFSmallest1,638 SF1,992 SF2,198 SFLargest✓ large
Year built2016201820182018unclear
Days on market70 days64 days90 days86 daysunclear
Discount from original list12.4%Biggest7.8%10.6%4.6%Smallest✓ large
Price cut before sale70%70%70%55%unclear
Seller paid closing costs or repairs55%90%85%50%unclear
Has a view10%5%10%5%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

2026-10-30T06:50:22.085131 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $212K 20 sales $212K– $238K 20 sales $238K– $259K 20 sales Over $259K 20 sales $0 $50 $100 $150 $130 $140 $128 $131 Net price per SF, average

The average is $131 per SF for homes over $259K and $130 per SF for homes under $212K. It does not move in a straight line; homes $212K–$238K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Homes over $259K are about 740 SF (51%) larger than homes under $212K

2026-10-30T06:50:22.108078 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $212K 20 sales $212K– $238K 20 sales $238K– $259K 20 sales Over $259K 20 sales 0 1,000 2,000 1,454 1,638 1,992 2,198 Living area (SF), average

The average is 2,198 SF for homes over $259K and 1,454 SF for homes under $212K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

✓ Real difference · large

3.5 Year built: no clear difference

2026-10-30T06:50:22.132844 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $212K 20 sales $212K– $238K 20 sales $238K– $259K 20 sales Over $259K 20 sales 2012 2014 2016 2018 2020 2016 2018 2018 2018 Year built: median (dot) and middle half (bar)

The median is 2018 for homes over $259K and 2016 for homes under $212K. 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 Days on market: no clear difference

2026-10-30T06:50:22.156148 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $212K 20 sales $212K– $238K 20 sales $238K– $259K 20 sales Over $259K 20 sales 0 50 100 70 64 90 86 Days on market, median

The median is 86 days for homes over $259K and 70 days for homes under $212K. It does not move in a straight line; homes $238K–$259K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Homes over $259K sell about 8 percentage points closer to their first asking price than homes under $212K

2026-10-30T06:50:22.178083 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $212K 20 sales $212K– $238K 20 sales $238K– $259K 20 sales Over $259K 20 sales 0.0% 5.0% 10.0% 12.4% 7.8% 10.6% 4.6% Discount from original list, average

The average is 4.6% for homes over $259K and 12.4% for homes under $212K. It does not move in a straight line; homes under $212K 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

2026-10-30T06:50:22.207856 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% 70 55 10 70 90 5 70 85 10 55 50 5 Under $212K $212K–$238K $238K–$259K Over $259K

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

  • 55% of homes over $259K had a price cut before sale, against 70% of homes under $212K. Defined in 8.1.7.
  • 50% of homes over $259K had the seller pay closing costs or repairs, against 55% of homes under $212K. Defined in 8.1.8.
  • 5% of homes over $259K have a view, against 10% of homes under $212K. 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 $212K20 sales$212K–$238K20 sales$238K–$259K20 salesOver $259K20 salesAll80 salesReal difference?
Net sale price average$185,411$225,293$248,447$276,257$233,852by design
Net price per SF average$130$140$128$131$132unclear
Living area average1,4541,6381,9922,1981,821✓ large
Year built median20162018201820182018unclear

3.10 The numbers: selling

Under $212K20 sales$212K–$238K20 sales$238K–$259K20 salesOver $259K20 salesAll80 salesReal difference?
Days on market median7064908688unclear
Discount from original list average12.4%7.8%10.6%4.6%8.8%✓ large
Price cut before sale70%70%70%55%66%unclear
Seller paid closing costs or repairs55%90%85%50%70%unclear
Has a view10%5%10%5%8%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 · 80 sales · October 30, 2025 – October 29, 2026

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

2026-10-30T06:50:22.228560 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 20 20 20 20 80 sales Sales per group Under 1,462 SF: 20 sales (25%) 1,462–1,692 SF: 20 sales (25%) 1,733–2,010 SF: 20 sales (25%) Over 2,010 SF: 20 sales (25%)
Bottom line

4.1 Key differences

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

Under 1,462 SF1,462–1,692 SF1,733–2,010 SFOver 2,010 SF
Larger homes Over 2,010 SF
  • Sell for less per square foot.
  • Sell for much more.
Smaller homes Under 1,462 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 1,462 SF1,462–1,692 SF1,733–2,010 SFOver 2,010 SFReal difference?
Net sale price$202KLowest$227K$242K$265KHighest✓ large
Net price per SF$149 per SFHighest$144 per SF$129 per SF$108 per SFLowest✓ large
Year built2017201820182019unclear
Days on market77 days56 days97 days96 daysunclear
Discount from original list10.2%7.9%8.5%8.8%unclear
Price cut before sale75%60%50%80%unclear
Seller paid closing costs or repairs65%80%65%70%unclear
Has a view5%5%15%5%unclear

4.3 Homes over 2,010 SF sell for about $63K (31%) more than homes under 1,462 SF

2026-10-30T06:50:22.249139 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,462 SF 20 sales 1,462– 1,692 SF 20 sales 1,733– 2,010 SF 20 sales Over 2,010 SF 20 sales $0K $100K $200K $300K $202K $227K $242K $265K Net sale price, average

The average is $265K for homes over 2,010 SF and $202K for homes under 1,462 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 2,010 SF sell for about $41 per SF (28%) less than homes under 1,462 SF

2026-10-30T06:50:22.272247 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,462 SF 20 sales 1,462– 1,692 SF 20 sales 1,733– 2,010 SF 20 sales Over 2,010 SF 20 sales $0 $50 $100 $150 $149 $144 $129 $108 Net price per SF, average

The average is $108 per SF for homes over 2,010 SF and $149 per SF for homes under 1,462 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

2026-10-30T06:50:22.297050 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,462 SF 20 sales 1,462– 1,692 SF 20 sales 1,733– 2,010 SF 20 sales Over 2,010 SF 20 sales 2012 2014 2016 2018 2020 2017 2018 2018 2019 Year built: median (dot) and middle half (bar)

The median is 2019 for homes over 2,010 SF and 2017 for homes under 1,462 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

2026-10-30T06:50:22.320901 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,462 SF 20 sales 1,462– 1,692 SF 20 sales 1,733– 2,010 SF 20 sales Over 2,010 SF 20 sales 0 50 100 77 56 97 96 Days on market, median

The median is 96 days for homes over 2,010 SF and 77 days for homes under 1,462 SF. It does not move in a straight line; homes 1,733–2,010 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-30T06:50:22.342568 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,462 SF 20 sales 1,462– 1,692 SF 20 sales 1,733– 2,010 SF 20 sales Over 2,010 SF 20 sales 0.0% 5.0% 10.0% 10.2% 7.9% 8.5% 8.8% Discount from original list, average

The average is 8.8% for homes over 2,010 SF and 10.2% for homes under 1,462 SF. It does not move in a straight line; homes under 1,462 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

2026-10-30T06:50:22.369480 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% 75 65 5 60 80 5 50 65 15 80 70 5 Under 1,462 SF 1,462–1,692 SF 1,733–2,010 SF Over 2,010 SF

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

  • 80% of homes over 2,010 SF had a price cut before sale, against 75% of homes under 1,462 SF. Defined in 8.1.7.
  • 70% of homes over 2,010 SF had the seller pay closing costs or repairs, against 65% of homes under 1,462 SF. Defined in 8.1.8.
  • 5% of homes over 2,010 SF have a view, against 5% of homes under 1,462 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 1,462 SF20 sales1,462–1,692 SF20 sales1,733–2,010 SF20 salesOver 2,010 SF20 salesAll80 salesReal difference?
Net sale price average$201,627$227,118$241,997$264,666$233,852✓ large
Net price per SF average$149$144$129$108$132✓ large
Living area average1,3561,5791,8822,4651,821by design
Year built median20172018201820192018unclear

4.10 The numbers: selling

Under 1,462 SF20 sales1,462–1,692 SF20 sales1,733–2,010 SF20 salesOver 2,010 SF20 salesAll80 salesReal difference?
Days on market median7756979688unclear
Discount from original list average10.2%7.9%8.5%8.8%8.8%unclear
Price cut before sale75%60%50%80%66%unclear
Seller paid closing costs or repairs65%80%65%70%70%unclear
Has a view5%5%15%5%8%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 · 80 sales · October 30, 2025 – October 29, 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.

2026-10-30T06:50:22.390478 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 20 17 26 17 80 sales Sales per group Before 2014: 20 sales (25%) 2014–2017: 17 sales (21%) 2018–2019: 26 sales (32%) After 2019: 17 sales (21%)
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 20142014–20172018–2019After 2019Real difference?
Net sale price$217K$236K$236K$248Kunclear
Net price per SF$131 per SF$135 per SF$129 per SF$136 per SFunclear
Living area1,692 SF1,832 SF1,875 SF1,877 SFunclear
Days on market80 days72 days94 days75 daysunclear
Discount from original list11.2%9.0%7.7%7.6%unclear
Price cut before sale60%59%69%76%unclear
Seller paid closing costs or repairs60%76%73%71%unclear
Has a view0%0%12%18%unclear

5.3 Net sale price: no clear difference

2026-10-30T06:50:22.411471 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2014 20 sales 2014– 2017 17 sales 2018– 2019 26 sales After 2019 17 sales $0K $100K $200K $217K $236K $236K $248K Net sale price, average

The average is $248K for homes built after 2019 and $217K for homes built before 2014. 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

2026-10-30T06:50:22.434431 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2014 20 sales 2014– 2017 17 sales 2018– 2019 26 sales After 2019 17 sales $0 $50 $100 $150 $131 $135 $129 $136 Net price per SF, average

The average is $136 per SF for homes built after 2019 and $131 per SF for homes built before 2014. It does not move in a straight line; homes built after 2019 are highest. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-10-30T06:50:22.456629 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2014 20 sales 2014– 2017 17 sales 2018– 2019 26 sales After 2019 17 sales 0 1,000 2,000 1,692 1,832 1,875 1,877 Living area (SF), average

The average is 1,877 SF for homes built after 2019 and 1,692 SF for homes built before 2014. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-10-30T06:50:22.479428 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2014 20 sales 2014– 2017 17 sales 2018– 2019 26 sales After 2019 17 sales 0 50 100 80 72 94 75 Days on market, median

The median is 75 days for homes built after 2019 and 80 days for homes built before 2014. It does not move in a straight line; homes built 2018–2019 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-10-30T06:50:22.501861 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2014 20 sales 2014– 2017 17 sales 2018– 2019 26 sales After 2019 17 sales 0.0% 5.0% 10.0% 11.2% 9.0% 7.7% 7.6% Discount from original list, average

The average is 7.6% for homes built after 2019 and 11.2% for homes built before 2014. It falls step by step from the lowest range to the 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

2026-10-30T06:50:22.527599 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 60 60 0 59 76 0 69 73 12 76 71 18 Before 2014 2014–2017 2018–2019 After 2019

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

  • 76% of homes built after 2019 had a price cut before sale, against 60% of homes built before 2014. Defined in 8.1.7.
  • 71% of homes built after 2019 had the seller pay closing costs or repairs, against 60% of homes built before 2014. Defined in 8.1.8.
  • 18% of homes built after 2019 have a view, against 0% of homes built before 2014. 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 201420 sales2014–201717 sales2018–201926 salesAfter 201917 salesAll80 salesReal difference?
Net sale price average$216,914$236,199$236,342$247,624$233,852unclear
Net price per SF average$131$135$129$136$132unclear
Living area average1,6921,8321,8751,8771,821unclear
Year built median20102016201920212018by design

5.10 The numbers: selling

Before 201420 sales2014–201717 sales2018–201926 salesAfter 201917 salesAll80 salesReal difference?
Days on market median8072947588unclear
Discount from original list average11.2%9.0%7.7%7.6%8.8%unclear
Price cut before sale60%59%69%76%66%unclear
Seller paid closing costs or repairs60%76%73%71%70%unclear
Has a view0%0%12%18%8%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 · 80 sales · October 30, 2025 – October 29, 2026

Sales where the MLS lists a view (greenbelt or park, trees, golf course, hill country, water and similar) against those listing none or only the neighborhood. 2 sales whose MLS view entry is only “See Remarks” are left out.

2026-10-30T06:50:22.547050 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 72 78 sales Sales per group View: 6 sales (8%) No view: 72 sales (92%)
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$230K$234Kunclear
Net price per SF$126 per SF$132 per SFunclear
Living area1,831 SF1,823 SFunclear
Year built20202017unclear
Days on market134 days84 daysunclear
Discount from original list7.8%8.9%unclear
Price cut before sale50%67%unclear
Seller paid closing costs or repairs100%68%unclear

6.3 Net sale price: no clear difference

2026-10-30T06:50:22.563555 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 6 sales No view 72 sales $0K $100K $200K $230K $234K Net sale price, average

The average is $230K for homes with a view and $234K 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

2026-10-30T06:50:22.580932 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 6 sales No view 72 sales $0 $50 $100 $150 $126 $132 Net price per SF, average

The average is $126 per SF for homes with a view and $132 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

2026-10-30T06:50:22.627278 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 6 sales No view 72 sales 0 500 1,000 1,500 2,000 1,831 1,823 Living area (SF), average

The average is 1,831 SF for homes with a view and 1,823 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-30T06:50:22.647157 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 6 sales No view 72 sales 2014 2016 2018 2020 2020 2017 Year built: median (dot) and middle half (bar)

The median is 2020 for homes with a view and 2017 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-30T06:50:22.665799 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 6 sales No view 72 sales 0 50 100 150 134 84 Days on market, median

The median is 134 days for homes with a view and 84 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

2026-10-30T06:50:22.684973 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 6 sales No view 72 sales 0.0% 2.5% 5.0% 7.5% 10.0% 7.8% 8.9% Discount from original list, average

The average is 7.8% for homes with a view and 8.9% 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

2026-10-30T06:50:22.704442 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 50 100 67 68 View No view

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

  • 50% of homes with a view had a price cut before sale, against 67% 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 68% 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

View6 salesNo view72 salesAll78 salesReal difference?
Net sale price average$229,885$233,847$233,542unclear
Net price per SF average$126$132$132unclear
Living area average1,8311,8231,824unclear
Year built median202020172018unclear

6.11 The numbers: selling

View6 salesNo view72 salesAll78 salesReal difference?
Days on market median1348488unclear
Discount from original list average7.8%8.9%8.8%unclear
Price cut before sale50%67%65%unclear
Seller paid closing costs or repairs100%68%71%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 · 92 sales · October 30, 2025 – October 29, 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: 92 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 Sonterra.
MeasureAverageMedian
Sales92
Net sale price$276,188$275,000
Net price per SF$144$141
Living area (SF)1,9712,003
Days on market152120
Discount from original list11.4%10.8%
Price cut before sale76% of sales
Seller paid closing costs or repairs80% of sales
Year built2024–2026

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
80 resale sales. Average $233,852; median $238,138; standard deviation $36,761; middle half (25th–75th percentile) $210,875–$259,250; lowest $141,000, highest $350,000. 56 sales had a seller payment; their median payment was $8,850.

8.1.2 Net price per SF

In simple terms
Net sale price divided by the heated and cooled square feet. It puts homes of different sizes on the same footing: did buyers pay more for each square foot, not just for more square feet?
Statistically
psf = Net ÷ LivingArea, per sale; summarized by the mean of the per-sale ratios.
The data
80 resale sales. Average $132; median $135; standard deviation $23; middle half (25th–75th percentile) $115–$148; lowest $76, highest $196.

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
80 resale sales. Average 1,821; median 1,712; standard deviation 447; middle half (25th–75th percentile) 1,459–2,036; lowest 1,183, highest 3,222.

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
80 resale sales. Average 2016; median 2018; standard deviation 4; middle half (25th–75th percentile) 2014–2019; lowest 2006, highest 2022.

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
80 resale sales. Average 95; median 88; standard deviation 77; middle half (25th–75th percentile) 41–120; lowest 2, highest 410. 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
80 resale sales. Average 8.8%; median 7.8%; standard deviation 7.0%; middle half (25th–75th percentile) 5.4%–11.9%; lowest −13.8%, highest 34.4%. 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
53 of 80 resale sales (66.2%).

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
56 of 80 resale sales (70.0%).

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
6 sales with a view, 72 without, 2 unclassified. Most common View entries: None 46, Neighborhood 29, Pasture 3, Park/Greenbelt 3, Trees/Woods 1, See Remarks 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 = Jarrell, SubdivisionName contains any of “sonterra”, “sonterra west”, “eastwood at sonterra”, “sonterra cool water”, “sonterra eastwood”, “sonterra coolwater” (case-insensitive). A record is kept when its subdivision name belongs to the Sonterra family, the same rule comparable sales use (it includes Sonterra West, Eastwood at Sonterra, Sonterra Cool Water, Sonterra-Eastwood, proven adjacent and priced alike).
The data
Pulled October 30, 2026: 176 closed Sonterra records over the prior year, in ZIP 76537, 76588. 39 subdivision spellings kept, the most common: Sonterra (69); Eastwood at Sonterra (33); Sonterra West (20); Sonterra Sec 13 (5); SONTERRA (4); Sonterra West Sec 08-C (4); Sonterra West Sec 7 Ph 4 (2); Sonterra West Ph 06 (2); Sonterra West Sec 07-A Ph 01 A (2); Sonterra Cool Water (2); Sonterra West Ph V-A (2); Sonterra West Ph 4 Sec 7 (2); and 27 more (29 records). Names found by the search but not part of Sonterra, left out: Cool Water at Sonterra (26); Sonterra Ii Condos Ph 2 (1); Sonterra II Condos (1); Sonterra Ii Condos Ph Viii (1); Sonterra Ii Condos Ph Iv (1); Sonterra I Condos (1); Sonterra L Condos (1); Sonterra Ii Condos PhIii (1); Sonterra Il Condos Ph Iv (1); Sonterra Il Condos Ph Iii (1); Sonterra Ii Condos (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 52 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 30, 2025 to October 29, 2026 inclusive.
The data
172 single-family sales in the window: 80 resale, 92 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
80 resale; 92 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
4 sale(s) other than single-family homes (condo, townhome and similar)

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 $212K”.
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 $212K: $141,000–$207,500 (20 sales); $212K–$238K: $212,000–$238,000 (20 sales); $238K–$259K: $238,275–$259,000 (20 sales); Over $259K: $260,000–$350,000 (20 sales)
Quartiles by living area: Under 1,462 SF: 1,183–1,450 SF (20 sales); 1,462–1,692 SF: 1,462–1,692 SF (20 sales); 1,733–2,010 SF: 1,733–2,010 SF (20 sales); Over 2,010 SF: 2,112–3,222 SF (20 sales)
Quartiles by year built: Before 2014: 2006–2013 (20 sales); 2014–2017: 2014–2017 (17 sales); 2018–2019: 2018–2019 (26 sales); After 2019: 2020–2022 (17 sales)
View and no view: View: MLS lists a view (6 sales); No view: None or Neighborhood (72 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 $233,852, median $238,138. Days on market: average 95, median 88: 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
4 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 = 4.1730.2440p < 0.0063Unclearε² = 0.053small
Living areaKruskal–WallisH = 36.273< 0.0001p < 0.0063Yesε² = 0.459large
Year builtKruskal–WallisH = 5.2730.1532p < 0.0063Unclearε² = 0.067medium
Days on marketKruskal–WallisH = 0.9930.8026p < 0.0063Unclearε² = 0.013small
Discount from original listKruskal–WallisH = 14.1430.0027p < 0.0063Yesε² = 0.179large
Price cut before saleChi-squareχ² = 1.5130.6801p < 0.0063UnclearCramér’s V = 0.137small
Seller paid closing costs or repairsChi-squareχ² = 11.9030.0077p < 0.0063UnclearCramér’s V = 0.386medium
Has a viewChi-squareχ² = 0.7230.8683p < 0.0063UnclearCramér’s V = 0.095negligible

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 34.633< 0.0001p < 0.0063Yesε² = 0.438large
Net price per SFKruskal–WallisH = 41.743< 0.0001p < 0.0063Yesε² = 0.528large
Year builtKruskal–WallisH = 6.4330.0924p < 0.0063Unclearε² = 0.081medium
Days on marketKruskal–WallisH = 6.6030.0858p < 0.0063Unclearε² = 0.084medium
Discount from original listKruskal–WallisH = 1.3030.7284p < 0.0063Unclearε² = 0.016small
Price cut before saleChi-squareχ² = 5.0930.1655p < 0.0063UnclearCramér’s V = 0.252small
Seller paid closing costs or repairsChi-squareχ² = 1.4330.6989p < 0.0063UnclearCramér’s V = 0.134small
Has a viewChi-squareχ² = 2.1630.5394p < 0.0063UnclearCramér’s V = 0.164small

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 4.8130.1861p < 0.0063Unclearε² = 0.061medium
Net price per SFKruskal–WallisH = 1.0930.7795p < 0.0063Unclearε² = 0.014small
Living areaKruskal–WallisH = 2.4830.4796p < 0.0063Unclearε² = 0.031small
Days on marketKruskal–WallisH = 1.9930.5748p < 0.0063Unclearε² = 0.025small
Discount from original listKruskal–WallisH = 3.3730.3377p < 0.0063Unclearε² = 0.043small
Price cut before saleChi-squareχ² = 1.6730.6445p < 0.0063UnclearCramér’s V = 0.144small
Seller paid closing costs or repairsChi-squareχ² = 1.4130.7029p < 0.0063UnclearCramér’s V = 0.133small
Has a viewChi-squareχ² = 6.1330.1053p < 0.0063UnclearCramér’s V = 0.277small

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 201.50—0.7929p < 0.0063Unclearrank-biserial r = 0.067negligible
Net price per SFMann–Whitney UU = 169.00—0.3832p < 0.0063Unclearrank-biserial r = 0.218small
Living areaMann–Whitney UU = 246.00—0.5801p < 0.0063Unclearrank-biserial r = 0.139small
Year builtMann–Whitney UU = 360.00—0.0068p < 0.0063Unclearrank-biserial r = 0.667large
Days on marketMann–Whitney UU = 305.00—0.0970p < 0.0063Unclearrank-biserial r = 0.412medium
Discount from original listMann–Whitney UU = 172.00—0.4146p < 0.0063Unclearrank-biserial r = 0.204small
Price cut before saleChi-squareχ² = 0.6810.4097p < 0.0063UnclearCramér’s V = 0.093negligible
Seller paid closing costs or repairsChi-squareχ² = 2.7210.0992p < 0.0063UnclearCramér’s V = 0.187small

8.4 Data notes

Left out of the analysis: 92 new-construction sales (basic statistics only, section 7); 4 sale(s) other than single-family homes (condo, townhome and similar). 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 80 closed MLS resale sales; the 92 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled October 30, 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.