ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Sonoma

Round Rock, TX 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 · 5:47 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
19
single-family resale homes
Median net sale price
$456,500
average $460,864
Median net price per SF
$170
average $173
Median days on market
69 days
average 91 days
1. SummaryResale homes · 19 sales · October 26, 2025 – October 25, 2026

This study looks at the 19 resale homes sold in Sonoma in the 365 days to October 25, 2026. A full year is used because only 11 resale homes sold in the last 180 days. New construction is left out and shown on its own in section 7. The homes are compared four ways: by price, by living area, by year built and with or without a view. The first three are split into four equal groups (quartiles), each named by its range.

Each comparison has its own section (3–6) with everything about it in one place: the key differences, a table of every measure at a glance, the charts and the numbers.

2. Where the resale homes sold19 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 $365K · 5 sales$365K–$456K · 5 sales$485K–$497K · 4 salesOver $497K · 5 sales
3. Quartiles by net sale priceResale homes · 19 sales · October 26, 2025 – October 25, 2026

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

2026-10-26T05:48:02.429888 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 4 5 19 sales Sales per group Under $365K: 5 sales (26%) $365K–$456K: 5 sales (26%) $485K–$497K: 4 sales (21%) Over $497K: 5 sales (26%)
Bottom line: too few sales to test.

3.1 Key differences

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

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: described, not tested

2026-10-26T05:48:02.458095 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $365K 5 sales $365K– $456K 5 sales $485K– $497K 4 sales Over $497K 5 sales $0 $100 $200 $184 $158 $167 $182 Net price per SF, average

The average is $182 per SF for homes over $497K and $184 per SF for homes under $365K. It does not move in a straight line; homes under $365K are highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-10-26T05:48:02.480356 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $365K 5 sales $365K– $456K 5 sales $485K– $497K 4 sales Over $497K 5 sales 0 2,000 4,000 1,901 2,641 2,977 3,344 Living area (SF), average

The average is 3,344 SF for homes over $497K and 1,901 SF for homes under $365K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-10-26T05:48:02.505061 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $365K 5 sales $365K– $456K 5 sales $485K– $497K 4 sales Over $497K 5 sales 2001 2002 2003 2004 2005 2003 2004 2003 2002 Year built: median (dot) and middle half (bar)

The median is 2002 for homes over $497K and 2003 for homes under $365K. It does not move in a straight line; homes $365K–$456K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-10-26T05:48:02.528745 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $365K 5 sales $365K– $456K 5 sales $485K– $497K 4 sales Over $497K 5 sales 0 25 50 75 83 38 81 6 Days on market, median

The median is 6 days for homes over $497K and 83 days for homes under $365K. It does not move in a straight line; homes under $365K are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-10-26T05:48:02.550803 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $365K 5 sales $365K– $456K 5 sales $485K– $497K 4 sales Over $497K 5 sales 0.0% 5.0% 10.0% 15.0% 13.3% 9.7% 7.3% 0.2% Discount from original list, average

The average is 0.2% for homes over $497K and 13.3% for homes under $365K. It falls step by step from the lowest range to the highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-10-26T05:48:02.580591 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% 80 60 0 60 60 40 50 50 25 40 60 0 Under $365K $365K–$456K $485K–$497K Over $497K

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

  • 40% of homes over $497K had a price cut before sale, against 80% of homes under $365K. Defined in 8.1.7.
  • 60% of homes over $497K had the seller pay closing costs or repairs, against 60% of homes under $365K. Defined in 8.1.8.
  • 0% of homes over $497K have a view, against 0% of homes under $365K. Defined in 8.1.9.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.
Has a view: Not tested: too few sales.

3.9 The numbers: price and size

Under $365K5 sales$365K–$456K5 sales$485K–$497K4 salesOver $497K5 salesAll19 sales
Net sale price average$345,980$415,500$490,380$597,499$460,864
Net price per SF average$184$158$167$182$173
Living area average1,9012,6412,9773,3442,702
Year built median20032004200320022003

3.10 The numbers: selling

Under $365K5 sales$365K–$456K5 sales$485K–$497K4 salesOver $497K5 salesAll19 sales
Days on market median833881669
Discount from original list average13.3%9.7%7.3%0.2%7.7%
Price cut before sale80%60%50%40%58%
Seller paid closing costs or repairs60%60%50%60%58%
Has a view0%40%25%0%16%

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 · 19 sales · October 26, 2025 – October 25, 2026

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

2026-10-26T05:48:02.601481 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 4 5 19 sales Sales per group Under 2,363 SF: 5 sales (26%) 2,363–2,761 SF: 5 sales (26%) 2,826–2,969 SF: 4 sales (21%) Over 2,969 SF: 5 sales (26%)
Bottom line: too few sales to test.

4.1 Key differences

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

4.3 Net sale price: described, not tested

2026-10-26T05:48:02.621797 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,363 SF 5 sales 2,363– 2,761 SF 5 sales 2,826– 2,969 SF 4 sales Over 2,969 SF 5 sales $0K $200K $400K $600K $346K $468K $481K $553K Net sale price, average

The average is $553K for homes over 2,969 SF and $346K for homes under 2,363 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

Not tested: too few sales.

4.4 Net price per SF: described, not tested

2026-10-26T05:48:02.644647 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,363 SF 5 sales 2,363– 2,761 SF 5 sales 2,826– 2,969 SF 4 sales Over 2,969 SF 5 sales $0 $100 $200 $186 $182 $166 $157 Net price per SF, average

The average is $157 per SF for homes over 2,969 SF and $186 per SF for homes under 2,363 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-10-26T05:48:02.667134 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,363 SF 5 sales 2,363– 2,761 SF 5 sales 2,826– 2,969 SF 4 sales Over 2,969 SF 5 sales 2002 2004 2006 2003 2002 2004 2002 Year built: median (dot) and middle half (bar)

The median is 2002 for homes over 2,969 SF and 2003 for homes under 2,363 SF. It does not move in a straight line; homes 2,826–2,969 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-10-26T05:48:02.690386 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,363 SF 5 sales 2,363– 2,761 SF 5 sales 2,826– 2,969 SF 4 sales Over 2,969 SF 5 sales 0 50 100 83 38 114 71 Days on market, median

The median is 71 days for homes over 2,969 SF and 83 days for homes under 2,363 SF. It does not move in a straight line; homes 2,826–2,969 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-10-26T05:48:02.712269 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,363 SF 5 sales 2,363– 2,761 SF 5 sales 2,826– 2,969 SF 4 sales Over 2,969 SF 5 sales 0.0% 5.0% 10.0% 11.5% 5.4% 6.4% 7.1% Discount from original list, average

The average is 7.1% for homes over 2,969 SF and 11.5% for homes under 2,363 SF. It does not move in a straight line; homes under 2,363 SF are highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-10-26T05:48:02.738394 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 60 80 0 60 60 40 50 50 25 60 40 0 Under 2,363 SF 2,363–2,761 SF 2,826–2,969 SF Over 2,969 SF

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

  • 60% of homes over 2,969 SF had a price cut before sale, against 60% of homes under 2,363 SF. Defined in 8.1.7.
  • 40% of homes over 2,969 SF had the seller pay closing costs or repairs, against 80% of homes under 2,363 SF. Defined in 8.1.8.
  • 0% of homes over 2,969 SF have a view, against 0% of homes under 2,363 SF. Defined in 8.1.9.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.
Has a view: Not tested: too few sales.

4.9 The numbers: price and size

Under 2,363 SF5 sales2,363–2,761 SF5 sales2,826–2,969 SF4 salesOver 2,969 SF5 salesAll19 sales
Net sale price average$346,400$467,600$480,825$552,623$460,864
Net price per SF average$186$182$166$157$173
Living area average1,8862,5632,8893,5092,702
Year built median20032002200420022003

4.10 The numbers: selling

Under 2,363 SF5 sales2,363–2,761 SF5 sales2,826–2,969 SF4 salesOver 2,969 SF5 salesAll19 sales
Days on market median83381147169
Discount from original list average11.5%5.4%6.4%7.1%7.7%
Price cut before sale60%60%50%60%58%
Seller paid closing costs or repairs80%60%50%40%58%
Has a view0%40%25%0%16%

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. Groups by year builtResale homes · 19 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. Only 3 groups are shown: homes here share a few year built values, and no group may hold fewer than 3 sales.

2026-10-26T05:48:02.757059 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 8 7 19 sales Sales per group Before 2002: 4 sales (21%) 2002–2003: 8 sales (42%) After 2003: 7 sales (37%)
Bottom line: too few sales to test.

5.1 Key differences

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

5.3 Net sale price: described, not tested

2026-10-26T05:48:02.775508 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2002 4 sales 2002– 2003 8 sales After 2003 7 sales $0K $200K $400K $485K $462K $445K Net sale price, average

The average is $445K for homes built after 2003 and $485K for homes built before 2002. It falls step by step from the lowest range to the highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T05:48:02.796161 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2002 4 sales 2002– 2003 8 sales After 2003 7 sales $0 $100 $200 $166 $185 $163 Net price per SF, average

The average is $163 per SF for homes built after 2003 and $166 per SF for homes built before 2002. It does not move in a straight line; homes built 2002–2003 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T05:48:02.815722 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2002 4 sales 2002– 2003 8 sales After 2003 7 sales 0 1,000 2,000 3,000 2,940 2,544 2,748 Living area (SF), average

The average is 2,748 SF for homes built after 2003 and 2,940 SF for homes built before 2002. It does not move in a straight line; homes built before 2002 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T05:48:02.835762 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2002 4 sales 2002– 2003 8 sales After 2003 7 sales 0 25 50 75 21 72 83 Days on market, median

The median is 83 days for homes built after 2003 and 21 days for homes built before 2002. It rises step by step from the lowest range to the highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T05:48:02.856875 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2002 4 sales 2002– 2003 8 sales After 2003 7 sales 0.0% 5.0% 10.0% 1.3% 9.4% 9.2% Discount from original list, average

The average is 9.2% for homes built after 2003 and 1.3% for homes built before 2002. It does not move in a straight line; homes built 2002–2003 are highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-10-26T05:48:02.879490 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 0 62 62 12 57 57 29 Before 2002 2002–2003 After 2003

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

  • 57% of homes built after 2003 had a price cut before sale, against 50% of homes built before 2002. Defined in 8.1.7.
  • 57% of homes built after 2003 had the seller pay closing costs or repairs, against 50% of homes built before 2002. Defined in 8.1.8.
  • 29% of homes built after 2003 have a view, against 0% of homes built before 2002. Defined in 8.1.9.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.
Has a view: Not tested: too few sales.

5.9 The numbers: price and size

Before 20024 sales2002–20038 salesAfter 20037 salesAll19 sales
Net sale price average$485,000$462,250$445,488$460,864
Net price per SF average$166$185$163$173
Living area average2,9402,5442,7482,702
Year built median2001200320052003

5.10 The numbers: selling

Before 20024 sales2002–20038 salesAfter 20037 salesAll19 sales
Days on market median21728369
Discount from original list average1.3%9.4%9.2%7.7%
Price cut before sale50%62%57%58%
Seller paid closing costs or repairs50%62%57%58%
Has a view0%12%29%16%

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 · 19 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. 1 sales whose MLS view entry is only “See Remarks” are left out.

2026-10-26T05:48:02.896589 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 15 18 sales Sales per group View: 3 sales (17%) No view: 15 sales (83%)
Bottom line: too few sales to test.

6.1 Key differences

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

6.3 Net sale price: described, not tested

2026-10-26T05:48:02.913455 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 15 sales $0K $200K $400K $454K $469K Net sale price, average

The average is $454K for homes with a view and $469K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-26T05:48:02.931476 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 15 sales $0 $50 $100 $150 $200 $174 $171 Net price per SF, average

The average is $174 per SF for homes with a view and $171 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-26T05:48:02.949203 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 15 sales 0 1,000 2,000 3,000 2,624 2,773 Living area (SF), average

The average is 2,624 SF for homes with a view and 2,773 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-26T05:48:02.993314 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 15 sales 2002 2003 2004 2004 2003 Year built: median (dot) and middle half (bar)

The median is 2004 for homes with a view and 2003 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-10-26T05:48:03.011680 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 15 sales 0 20 40 60 80 4 69 Days on market, median

The median is 4 days for homes with a view and 69 days for homes without a view. Defined in 8.1.5.

Not tested: too few sales.

6.8 Discount from original list: described, not tested

2026-10-26T05:48:03.030614 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 15 sales 0.0% 2.0% 4.0% 6.0% 8.0% 5.6% 8.0% Discount from original list, average

The average is 5.6% for homes with a view and 8.0% for homes without a view. Defined in 8.1.6.

Not tested: too few sales.

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

2026-10-26T05:48:03.050049 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 33 33 60 60 View No view

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

  • 33% of homes with a view had a price cut before sale, against 60% of homes without a view. Defined in 8.1.7.
  • 33% of homes with a view had the seller pay closing costs or repairs, against 60% of homes without a view. Defined in 8.1.8.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.

6.10 The numbers: price and size

View3 salesNo view15 salesAll18 sales
Net sale price average$453,800$468,781$466,284
Net price per SF average$174$171$172
Living area average2,6242,7732,748
Year built median200420032003

6.11 The numbers: selling

View3 salesNo view15 salesAll18 sales
Days on market median46954
Discount from original list average5.6%8.0%7.6%
Price cut before sale33%60%56%
Seller paid closing costs or repairs33%60%56%

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 Sonoma.

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
19 resale sales. Average $460,864; median $456,500; standard deviation $100,575; middle half (25th–75th percentile) $363,950–$523,700; lowest $325,000, highest $619,995. 11 sales had a seller payment; their median payment was $6,500.

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
19 resale sales. Average $173; median $170; standard deviation $23; middle half (25th–75th percentile) $153–$194; lowest $144, highest $219.

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
19 resale sales. Average 2,702; median 2,761; standard deviation 642; middle half (25th–75th percentile) 2,324–3,083; lowest 1,583, highest 3,767.

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
19 resale sales. Average 2004; median 2003; standard deviation 3; middle half (25th–75th percentile) 2002–2004; lowest 2001, highest 2012.

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
19 resale sales. Average 91; median 69; standard deviation 101; middle half (25th–75th percentile) 8–170; lowest 1, highest 286. 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
19 resale sales. Average 7.7%; median 7.5%; standard deviation 9.0%; middle half (25th–75th percentile) 3.3%–12.7%; lowest −14.0%, highest 27.8%. 2 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
11 of 19 resale sales (57.9%).

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
11 of 19 resale sales (57.9%).

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
3 sales with a view, 15 without, 1 unclassified. Most common View entries: None 13, Neighborhood 3, See Remarks 1, Trees/Woods 1, Park/Greenbelt 1, Pond 1, Garden 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 “sonoma” (case-insensitive). A record is kept when its subdivision name belongs to the Sonoma family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 19 closed Sonoma records over the prior year, in ZIP 78665. 12 subdivision spellings kept: Sonoma (5); Sonoma Sec 05 (2); Sonoma Sec 06 (2); Sonoma Sec 02 (2); Sonoma Sec 10 (1); Sonoma Sec 03 (1); Sonoma Sec 12 (1); Sonoma Sec 04 (1); Sonoma Sec 07 (1); Sonoma Sec 13 (1); Sonoma Sec 01 (1); Sonoma Sec 04 Final (1). Names found by the search but not part of Sonoma, left out: Sonoma Heights Condo (2); SONOMA HEIGHTS (1); Sonoma South (1); Sonoma/Sonoma South (1).

8.2.2 Study window

In simple terms
The most recent 365 days of closed sales: recent enough to describe today's market, long enough to give each group plenty of sales. The usual window is 180 days; it holds only 11 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
19 single-family sales in the window: 19 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
19 resale; 0 new construction.

8.2.4 Sales left out

In simple terms
A few records cannot be used as entered and are left out before any analysis.
Statistically
Excluded: PropertySubType other than Single Family Residence; no OriginalListPrice; LivingArea under 400 SF; seller payments above 10% of ClosePrice (treated as entry errors).
The data
None in this window.

8.2.5 Quartiles and groups

In simple terms
Sales lined up from lowest to highest and cut into four groups of about equal size. Each group is named by its range, for example “Under $365K”.
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 $365K: $325,000–$363,300 (5 sales); $365K–$456K: $364,600–$456,500 (5 sales); $485K–$497K: $485,000–$497,400 (4 sales); Over $497K: $550,000–$619,995 (5 sales)
Quartiles by living area: Under 2,363 SF: 1,583–2,286 SF (5 sales); 2,363–2,761 SF: 2,363–2,761 SF (5 sales); 2,826–2,969 SF: 2,826–2,969 SF (4 sales); Over 2,969 SF: 3,197–3,767 SF (5 sales)
Groups by year built: Before 2002: 2001–2001 (4 sales); 2002–2003: 2002–2003 (8 sales); After 2003: 2004–2012 (7 sales)
View and no view: View: MLS lists a view (3 sales); No view: None or Neighborhood (15 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 $460,864, median $456,500. Days on market: average 91, median 69: 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

8.2.11 Size of a difference

In simple terms
A difference can be real but small. The size word (small, medium, large) says how much the groups pull apart.
Statistically
ε² for Kruskal–Wallis, rank-biserial r for Mann–Whitney, Cramér's V for chi-square, with the thresholds above; below the small threshold the size is “negligible”.
The data
0 real differences across the four slices; sizes are listed in 8.3.

8.2.12 Rounding in the text

In simple terms
Headings and sentences round figures so they read easily; the tables at the end of each section give them in full.
Statistically
Prices in headings round to the nearest $1K; price per SF and days on market to the nearest whole number; living area to the nearest 10 SF; shares and percentage gaps to whole percents.
The data
Days on market is always shown in days.

8.3 Test results

Every test behind every gold box. Statistic, degrees of freedom (df), p-value, the threshold it must beat, and the size of the difference.

8.3.1 Quartiles by net sale price

Too few sales in a group to test.

8.3.2 Quartiles by living area

Too few sales in a group to test.

8.3.3 Groups by year built

Too few sales in a group to test.

8.3.4 View and no view

Too few sales in a group to test.

8.4 Data notes

Left out of the analysis: 0 new-construction sales (basic statistics only, section 7); nothing else. Statistics: Python, NumPy 2.5.3, SciPy 1.18.1.

8.5 References

  1. Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Erlbaum.
  2. Cramér, H. (1946). Mathematical Methods of Statistics. Princeton University Press.
  3. Dunn, O. J. (1961). Multiple comparisons among means. JASA, 56(293), 52–64.
  4. Kerby, D. S. (2014). The simple difference formula: an approach to teaching nonparametric correlation. Comprehensive Psychology, 3, 11.IT.3.1.
  5. Kruskal, W. H., & Wallis, W. A. (1952). Use of ranks in one-criterion variance analysis. JASA, 47(260), 583–621.
  6. Mann, H. B., & Whitney, D. R. (1947). On a test of whether one of two random variables is stochastically larger than the other. Annals of Mathematical Statistics, 18(1), 50–60.
  7. Pearson, K. (1900). On the criterion that a given system of deviations… Philosophical Magazine, 50(302), 157–175.
  8. Tomczak, M., & Tomczak, E. (2014). The need to report effect size estimates revisited. Trends in Sport Sciences, 21(1), 19–25.

This is a market study of closed sales, not an appraisal or an opinion of value for any home. The analysis covers 19 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.