ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Commons at Rowe Lane

Pflugerville, TX 78660
Resale homes · closed Nov 5 – Nov 4, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
November 5, 2026 · 3:57 PM CST
MARKET STUDY All analysis covers resale homes only. New construction appears once, in its own section. Click any dot on the map for that sale.
Resale sales, 365 days
19
single-family resale homes
Median net sale price
$433,934
average $437,377
Median net price per SF
$160
average $166
Median days on market
62 days
average 74 days
1. SummaryResale homes · 19 sales · November 5, 2025 – November 4, 2026

This study looks at the 19 resale homes sold in Commons at Rowe Lane in the 365 days to November 4, 2026. A full year is used because only 10 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 $407K · 5 sales$407K–$434K · 5 sales$435K–$465K · 4 salesOver $465K · 5 sales
3. Quartiles by net sale priceResale homes · 19 sales · November 5, 2025 – November 4, 2026

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

2026-11-05T15:57:41.991689 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 4 5 19 sales Sales per group Under $407K: 5 sales (26%) $407K–$434K: 5 sales (26%) $435K–$465K: 4 sales (21%) Over $465K: 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

2026-11-05T15:57:42.019701 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $407K 5 sales $407K– $434K 5 sales $435K– $465K 4 sales Over $465K 5 sales $0 $100 $200 $169 $170 $173 $155 Net price per SF, average

The average is $155 per SF for homes over $465K and $169 per SF for homes under $407K. It does not move in a straight line; homes $435K–$465K are highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-11-05T15:57:42.042127 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $407K 5 sales $407K– $434K 5 sales $435K– $465K 4 sales Over $465K 5 sales 0 2,000 4,000 2,078 2,517 2,708 3,419 Living area (SF), average

The average is 3,419 SF for homes over $465K and 2,078 SF for homes under $407K. 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

2026-11-05T15:57:42.066024 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $407K 5 sales $407K– $434K 5 sales $435K– $465K 4 sales Over $465K 5 sales 2010 2012 2014 2016 2014 2013 2010 2016 Year built: median (dot) and middle half (bar)

The median is 2016 for homes over $465K and 2014 for homes under $407K. It does not move in a straight line; homes over $465K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-11-05T15:57:42.089288 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $407K 5 sales $407K– $434K 5 sales $435K– $465K 4 sales Over $465K 5 sales 0 50 100 73 46 66 110 Days on market, median

The median is 110 days for homes over $465K and 73 days for homes under $407K. It does not move in a straight line; homes over $465K are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-11-05T15:57:42.110902 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $407K 5 sales $407K– $434K 5 sales $435K– $465K 4 sales Over $465K 5 sales 0.0% 5.0% 10.0% 10.0% 4.0% 6.2% 6.5% Discount from original list, average

The average is 6.5% for homes over $465K and 10.0% for homes under $407K. It does not move in a straight line; homes under $407K are 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

2026-11-05T15:57:42.140531 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% 80 100 0 40 80 0 50 50 0 80 60 40 Under $407K $407K–$434K $435K–$465K Over $465K

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

  • 80% of homes over $465K had a price cut before sale, against 80% of homes under $407K. Defined in 8.1.7.
  • 60% of homes over $465K had the seller pay closing costs or repairs, against 100% of homes under $407K. Defined in 8.1.8.
  • 40% of homes over $465K have a view, against 0% of homes under $407K. 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 $407K5 sales$407K–$434K5 sales$435K–$465K4 salesOver $465K5 salesAll19 sales
Net sale price average$350,702$419,367$452,202$530,200$437,377
Net price per SF average$169$170$173$155$166
Living area average2,0782,5172,7083,4192,679
Year built median20142013201020162013

3.10 The numbers: selling

Under $407K5 sales$407K–$434K5 sales$435K–$465K4 salesOver $465K5 salesAll19 sales
Days on market median73466611062
Discount from original list average10.0%4.0%6.2%6.5%6.7%
Price cut before sale80%40%50%80%63%
Seller paid closing costs or repairs100%80%50%60%74%
Has a view0%0%0%40%11%

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 · November 5, 2025 – November 4, 2026

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

2026-11-05T15:57:42.161177 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 4 5 19 sales Sales per group Under 2,048 SF: 5 sales (26%) 2,048–2,566 SF: 5 sales (26%) 2,892–3,116 SF: 4 sales (21%) Over 3,116 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

2026-11-05T15:57:42.181469 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,048 SF 5 sales 2,048– 2,566 SF 5 sales 2,892– 3,116 SF 4 sales Over 3,116 SF 5 sales $0K $200K $400K $600K $365K $412K $452K $523K Net sale price, average

The average is $523K for homes over 3,116 SF and $365K for homes under 2,048 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

2026-11-05T15:57:42.204633 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,048 SF 5 sales 2,048– 2,566 SF 5 sales 2,892– 3,116 SF 4 sales Over 3,116 SF 5 sales $0 $100 $200 $183 $178 $152 $151 Net price per SF, average

The average is $151 per SF for homes over 3,116 SF and $183 per SF for homes under 2,048 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

2026-11-05T15:57:42.228996 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,048 SF 5 sales 2,048– 2,566 SF 5 sales 2,892– 3,116 SF 4 sales Over 3,116 SF 5 sales 2008 2010 2012 2014 2016 2014 2013 2016 2013 Year built: median (dot) and middle half (bar)

The median is 2013 for homes over 3,116 SF and 2014 for homes under 2,048 SF. It does not move in a straight line; homes 2,892–3,116 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-11-05T15:57:42.252852 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,048 SF 5 sales 2,048– 2,566 SF 5 sales 2,892– 3,116 SF 4 sales Over 3,116 SF 5 sales 0 50 100 38 57 40 110 Days on market, median

The median is 110 days for homes over 3,116 SF and 38 days for homes under 2,048 SF. It does not move in a straight line; homes over 3,116 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-11-05T15:57:42.275258 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,048 SF 5 sales 2,048– 2,566 SF 5 sales 2,892– 3,116 SF 4 sales Over 3,116 SF 5 sales 0.0% 2.5% 5.0% 7.5% 8.3% 4.9% 5.3% 8.0% Discount from original list, average

The average is 8.0% for homes over 3,116 SF and 8.3% for homes under 2,048 SF. It does not move in a straight line; homes under 2,048 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

2026-11-05T15:57:42.301053 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 40 60 0 50 100 0 100 60 40 Under 2,048 SF 2,048–2,566 SF 2,892–3,116 SF Over 3,116 SF

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

  • 100% of homes over 3,116 SF had a price cut before sale, against 60% of homes under 2,048 SF. Defined in 8.1.7.
  • 60% of homes over 3,116 SF had the seller pay closing costs or repairs, against 80% of homes under 2,048 SF. Defined in 8.1.8.
  • 40% of homes over 3,116 SF have a view, against 0% of homes under 2,048 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 2,048 SF5 sales2,048–2,566 SF5 sales2,892–3,116 SF4 salesOver 3,116 SF5 salesAll19 sales
Net sale price average$364,702$412,400$452,411$523,000$437,377
Net price per SF average$183$178$152$151$166
Living area average1,9922,3332,9853,4672,679
Year built median20142013201620132013

4.10 The numbers: selling

Under 2,048 SF5 sales2,048–2,566 SF5 sales2,892–3,116 SF4 salesOver 3,116 SF5 salesAll19 sales
Days on market median38574011062
Discount from original list average8.3%4.9%5.3%8.0%6.7%
Price cut before sale60%40%50%100%63%
Seller paid closing costs or repairs80%60%100%60%74%
Has a view0%0%0%40%11%

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 · 19 sales · November 5, 2025 – November 4, 2026

Sales ranked by year built and cut into four groups, from the oldest to the newest. Homes built in the same year always stay in the same group, so group sizes can differ a little.

2026-11-05T15:57:42.322320 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 4 5 19 sales Sales per group Before 2012: 5 sales (26%) 2012–2013: 5 sales (26%) 2014–2016: 4 sales (21%) After 2016: 5 sales (26%)
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

2026-11-05T15:57:42.342391 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2012 5 sales 2012– 2013 5 sales 2014– 2016 4 sales After 2016 5 sales $0K $200K $400K $432K $444K $437K $437K Net sale price, average

The average is $437K for homes built after 2016 and $432K for homes built before 2012. It does not move in a straight line; homes built 2012–2013 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-11-05T15:57:42.364492 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2012 5 sales 2012– 2013 5 sales 2014– 2016 4 sales After 2016 5 sales $0 $100 $200 $167 $168 $174 $158 Net price per SF, average

The average is $158 per SF for homes built after 2016 and $167 per SF for homes built before 2012. It does not move in a straight line; homes built 2014–2016 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-11-05T15:57:42.385771 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2012 5 sales 2012– 2013 5 sales 2014– 2016 4 sales After 2016 5 sales 0 1,000 2,000 3,000 2,652 2,698 2,554 2,787 Living area (SF), average

The average is 2,787 SF for homes built after 2016 and 2,652 SF for homes built before 2012. It does not move in a straight line; homes built after 2016 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-11-05T15:57:42.407573 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2012 5 sales 2012– 2013 5 sales 2014– 2016 4 sales After 2016 5 sales 0 50 100 76 57 39 93 Days on market, median

The median is 93 days for homes built after 2016 and 76 days for homes built before 2012. It does not move in a straight line; homes built after 2016 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-11-05T15:57:42.430361 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2012 5 sales 2012– 2013 5 sales 2014– 2016 4 sales After 2016 5 sales 0.0% 2.5% 5.0% 7.5% 5.1% 7.8% 6.1% 7.7% Discount from original list, average

The average is 7.7% for homes built after 2016 and 5.1% for homes built before 2012. It does not move in a straight line; homes built 2012–2013 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

2026-11-05T15:57:42.455752 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 40 60 0 80 100 0 50 75 0 80 60 40 Before 2012 2012–2013 2014–2016 After 2016

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

  • 80% of homes built after 2016 had a price cut before sale, against 40% of homes built before 2012. Defined in 8.1.7.
  • 60% of homes built after 2016 had the seller pay closing costs or repairs, against 60% of homes built before 2012. Defined in 8.1.8.
  • 40% of homes built after 2016 have a view, against 0% of homes built before 2012. 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 20125 sales2012–20135 sales2014–20164 salesAfter 20165 salesAll19 sales
Net sale price average$431,587$443,600$437,186$437,095$437,377
Net price per SF average$167$168$174$158$166
Living area average2,6522,6982,5542,7872,679
Year built median20082013201620172013

5.10 The numbers: selling

Before 20125 sales2012–20135 sales2014–20164 salesAfter 20165 salesAll19 sales
Days on market median7657399362
Discount from original list average5.1%7.8%6.1%7.7%6.7%
Price cut before sale40%80%50%80%63%
Seller paid closing costs or repairs60%100%75%60%74%
Has a view0%0%0%40%11%

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 · November 5, 2025 – November 4, 2026

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

2026-11-05T15:57:42.473615 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 2 17 19 sales Sales per group View: 2 sales (11%) No view: 17 sales (89%)
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

2026-11-05T15:57:42.490113 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 17 sales $0K $200K $400K $600K $558K $423K Net sale price, average

The average is $558K for homes with a view and $423K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-11-05T15:57:42.508624 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 17 sales $0 $50 $100 $150 $200 $159 $167 Net price per SF, average

The average is $159 per SF for homes with a view and $167 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-11-05T15:57:42.527389 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 17 sales 0 1,000 2,000 3,000 4,000 3,504 2,582 Living area (SF), average

The average is 3,504 SF for homes with a view and 2,582 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-11-05T15:57:42.571639 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 17 sales 2012 2014 2016 2017 2013 Year built: median (dot) and middle half (bar)

The median is 2017 for homes with a view and 2013 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-11-05T15:57:42.589462 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 17 sales 0 50 100 113 57 Days on market, median

The median is 113 days for homes with a view and 57 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

2026-11-05T15:57:42.608177 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 17 sales 0.0% 2.0% 4.0% 6.0% 8.0% 5.9% 6.8% Discount from original list, average

The average is 5.9% for homes with a view and 6.8% 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

2026-11-05T15:57:42.627346 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 100 0 59 82 View No view

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

  • 100% of homes with a view had a price cut before sale, against 59% of homes without a view. Defined in 8.1.7.
  • 0% of homes with a view had the seller pay closing costs or repairs, against 82% 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

View2 salesNo view17 salesAll19 sales
Net sale price average$557,500$423,244$437,377
Net price per SF average$159$167$166
Living area average3,5042,5822,679
Year built median201720132013

6.11 The numbers: selling

View2 salesNo view17 salesAll19 sales
Days on market median1135762
Discount from original list average5.9%6.8%6.7%
Price cut before sale100%59%63%
Seller paid closing costs or repairs0%82%74%

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.4.

7. New constructionBasic statistics · 0 sales · November 5, 2025 – November 4, 2026

Homes sold new by the builder in the same 365 days. They are left out of every other section and shown here as basic figures only: 0 sales, no groups, no tests.

Note: these are only the new-construction sales reported in ABOR MLS. Builders often sell homes without listing them in the MLS, so these figures do not necessarily represent all new-construction sales in Commons at Rowe Lane.

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 $437,377; median $433,934; standard deviation $72,474; middle half (25th–75th percentile) $393,500–$477,155; lowest $305,075, highest $590,000. 14 sales had a seller payment; their median payment was $9,000.

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 $166; median $160; standard deviation $22; middle half (25th–75th percentile) $153–$176; lowest $137, highest $224.

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 2,679; median 2,566; standard deviation 609; middle half (25th–75th percentile) 2,048–3,236; lowest 1,926, highest 3,543.

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 2014; median 2013; standard deviation 4; middle half (25th–75th percentile) 2012–2016; lowest 2007, highest 2019.

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 74; median 62; standard deviation 61; middle half (25th–75th percentile) 30–94; lowest 3, highest 272. 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 6.7%; median 5.6%; standard deviation 4.8%; middle half (25th–75th percentile) 3.5%–8.6%; lowest 0.0%, highest 19.7%. 1 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
12 of 19 resale sales (63.2%).

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
14 of 19 resale sales (73.7%).

8.1.9 Has a view

In simple terms
The MLS says the home looks over something: a greenbelt or park, trees, golf course, hill country, water and similar.
Statistically
View = the View field holds any entry other than “None”, “Neighborhood” or “See Remarks”. No view = only “None” and/or “Neighborhood”. A record whose only entry is “See Remarks” cannot be classified and is left out of the view slice.
The data
2 sales with a view, 17 without, 0 unclassified. Most common View entries: None 11, Neighborhood 7, Trees/Woods 1, Pasture 1.

8.2 Methods

8.2.1 Data source

In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
ABOR MLS via secure APIs, read from ALEX's copy of the MLS (refreshed every 15 minutes; this pull as of 2026-11-05 21:45 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Pflugerville, SubdivisionName contains any of “commons at rowe lane”, “commons rowe lane”, “commons/rowe lane” (case-insensitive). A record is kept when its subdivision name belongs to the Commons at Rowe Lane family, the same rule comparable sales use (it includes Commons/Rowe Lane Ph Viii, proven adjacent and priced alike).
The data
Pulled November 5, 2026: 20 closed Commons at Rowe Lane records over the prior year, in ZIP 78660. 14 subdivision spellings kept, the most common: Commons At Rowe Lane Ph 01 The (3); Commons At Rowe Lane Ph Ii C (3); Commons at Rowe Lane (3); Commons At Rowe Lane (1); Commons At Rowe Lane Ph 02 A (1); Commons/Rowe Lane Ph Viii (1); Commons At Rowe Lane Ph III B (1); The Commons at Rowe Lane (1); Commons At Rowe Lane Ph VII (1); Commons At Rowe Lane Ph Iii B (1); Commons/Rowe Lane Ph 02b (1); Commons At Rowe Lane Ph Ii B (1); and 2 more (2 records). No other names were found by the search.

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 10 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from November 5, 2025 to November 4, 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
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 $407K”.
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 $407K: $305,075–$380,000 (5 sales); $407K–$434K: $407,000–$433,934 (5 sales); $435K–$465K: $435,000–$464,810 (4 sales); Over $465K: $489,500–$590,000 (5 sales)
Quartiles by living area: Under 2,048 SF: 1,926–2,047 SF (5 sales); 2,048–2,566 SF: 2,048–2,566 SF (5 sales); 2,892–3,116 SF: 2,892–3,116 SF (4 sales); Over 3,116 SF: 3,357–3,543 SF (5 sales)
Quartiles by year built: Before 2012: 2007–2011 (5 sales); 2012–2013: 2012–2013 (5 sales); 2014–2016: 2014–2016 (4 sales); After 2016: 2017–2019 (5 sales)
View and no view: View: MLS lists a view (2 sales); No view: None or Neighborhood (17 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 $437,377, median $433,934. Days on market: average 74, median 62: 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 Quartiles 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); 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 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 November 5, 2026. Map data © OpenStreetMap contributors. ALEX Companies · Licensed by the Texas Real Estate Commission · Broker: Alexander Tiffany Southwest, LLC (ALEX Real Estate), #565194-BB · Diane Hart Alexander, Designated Broker, #574877-B.