ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Heatherwilde

Pflugerville, TX 78660
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 · 5:37 AM CDT
MARKET STUDY All analysis covers resale homes only. New construction appears once, in its own section. Click any dot on the map for that sale.
Resale sales, 365 days
18
single-family resale homes
Median net sale price
$311,625
average $319,074
Median net price per SF
$186
average $186
Median days on market
84 days
average 123 days
1. SummaryResale homes · 18 sales · October 26, 2025 – October 25, 2026

This study looks at the 18 resale homes sold in Heatherwilde in the 365 days to October 25, 2026. A full year is used because only 9 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 sold18 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 $282K · 4 sales$282K–$308K · 5 sales$315K–$367K · 5 salesOver $367K · 4 sales
3. Quartiles by net sale priceResale homes · 18 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.

2026-10-26T05:38:07.916381 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 5 5 4 18 sales Sales per group Under $282K: 4 sales (22%) $282K–$308K: 5 sales (28%) $315K–$367K: 5 sales (28%) Over $367K: 4 sales (22%)
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

2026-10-26T05:38:07.945012 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $282K 4 sales $282K– $308K 5 sales $315K– $367K 5 sales Over $367K 4 sales $0 $100 $200 $173 $209 $181 $176 Net price per SF, average

The average is $176 per SF for homes over $367K and $173 per SF for homes under $282K. It does not move in a straight line; homes $282K–$308K are highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-10-26T05:38:07.967829 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $282K 4 sales $282K– $308K 5 sales $315K– $367K 5 sales Over $367K 4 sales 0 1,000 2,000 1,437 1,427 1,892 2,270 Living area (SF), average

The average is 2,270 SF for homes over $367K and 1,437 SF for homes under $282K. It does not move in a straight line; homes over $367K are highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-10-26T05:38:07.991965 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $282K 4 sales $282K– $308K 5 sales $315K– $367K 5 sales Over $367K 4 sales 1988 1992 1996 2000 2000 1994 2000 2002 Year built: median (dot) and middle half (bar)

The median is 2002 for homes over $367K and 2000 for homes under $282K. It does not move in a straight line; homes over $367K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-10-26T05:38:08.015172 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $282K 4 sales $282K– $308K 5 sales $315K– $367K 5 sales Over $367K 4 sales 0 50 100 150 151 125 40 99 Days on market, median

The median is 99 days for homes over $367K and 151 days for homes under $282K. It does not move in a straight line; homes under $282K are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-10-26T05:38:08.037276 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $282K 4 sales $282K– $308K 5 sales $315K– $367K 5 sales Over $367K 4 sales 0.0% 5.0% 10.0% 15.0% 13.1% 6.1% 6.6% 8.3% Discount from original list, average

The average is 8.3% for homes over $367K and 13.1% for homes under $282K. It does not move in a straight line; homes under $282K 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

2026-10-26T05:38:08.067377 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 50 0 40 80 20 40 60 0 75 75 0 Under $282K $282K–$308K $315K–$367K Over $367K

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

  • 75% of homes over $367K had a price cut before sale, against 75% of homes under $282K. Defined in 8.1.7.
  • 75% of homes over $367K had the seller pay closing costs or repairs, against 50% of homes under $282K. Defined in 8.1.8.
  • 0% of homes over $367K have a view, against 0% of homes under $282K. 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 $282K4 sales$282K–$308K5 sales$315K–$367K5 salesOver $367K4 salesAll18 sales
Net sale price average$246,815$295,950$339,063$395,250$319,074
Net price per SF average$173$209$181$176$186
Living area average1,4371,4271,8922,2701,746
Year built median20001994200020022000

3.10 The numbers: selling

Under $282K4 sales$282K–$308K5 sales$315K–$367K5 salesOver $367K4 salesAll18 sales
Days on market median151125409984
Discount from original list average13.1%6.1%6.6%8.3%8.3%
Price cut before sale75%40%40%75%56%
Seller paid closing costs or repairs50%80%60%75%67%
Has a view0%20%0%0%6%

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 · 18 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.

2026-10-26T05:38:08.088172 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 5 5 4 18 sales Sales per group Under 1,485 SF: 4 sales (22%) 1,485–1,531 SF: 5 sales (28%) 1,620–1,988 SF: 5 sales (28%) Over 1,988 SF: 4 sales (22%)
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

2026-10-26T05:38:08.108696 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,485 SF 4 sales 1,485– 1,531 SF 5 sales 1,620– 1,988 SF 5 sales Over 1,988 SF 4 sales $0K $200K $400K $280K $269K $343K $391K Net sale price, average

The average is $391K for homes over 1,988 SF and $280K for homes under 1,485 SF. It does not move in a straight line; homes over 1,988 SF are highest. Defined in 8.1.1.

Not tested: too few sales.

4.4 Net price per SF: described, not tested

2026-10-26T05:38:08.131789 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,485 SF 4 sales 1,485– 1,531 SF 5 sales 1,620– 1,988 SF 5 sales Over 1,988 SF 4 sales $0 $100 $200 $211 $178 $191 $164 Net price per SF, average

The average is $164 per SF for homes over 1,988 SF and $211 per SF for homes under 1,485 SF. It does not move in a straight line; homes under 1,485 SF are highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-10-26T05:38:08.155626 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,485 SF 4 sales 1,485– 1,531 SF 5 sales 1,620– 1,988 SF 5 sales Over 1,988 SF 4 sales 1988 1992 1996 2000 1998 1997 2002 2000 Year built: median (dot) and middle half (bar)

The median is 2000 for homes over 1,988 SF and 1998 for homes under 1,485 SF. It does not move in a straight line; homes 1,620–1,988 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-10-26T05:38:08.179668 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,485 SF 4 sales 1,485– 1,531 SF 5 sales 1,620– 1,988 SF 5 sales Over 1,988 SF 4 sales 0 50 100 150 102 125 56 32 Days on market, median

The median is 32 days for homes over 1,988 SF and 102 days for homes under 1,485 SF. It does not move in a straight line; homes 1,485–1,531 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-10-26T05:38:08.202505 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,485 SF 4 sales 1,485– 1,531 SF 5 sales 1,620– 1,988 SF 5 sales Over 1,988 SF 4 sales 0.0% 5.0% 10.0% 6.6% 11.2% 7.7% 6.8% Discount from original list, average

The average is 6.8% for homes over 1,988 SF and 6.6% for homes under 1,485 SF. It does not move in a straight line; homes 1,485–1,531 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

2026-10-26T05:38:08.229136 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 60 80 20 40 80 0 75 50 0 Under 1,485 SF 1,485–1,531 SF 1,620–1,988 SF Over 1,988 SF

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

  • 75% of homes over 1,988 SF had a price cut before sale, against 50% of homes under 1,485 SF. Defined in 8.1.7.
  • 50% of homes over 1,988 SF had the seller pay closing costs or repairs, against 50% of homes under 1,485 SF. Defined in 8.1.8.
  • 0% of homes over 1,988 SF have a view, against 0% of homes under 1,485 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 1,485 SF4 sales1,485–1,531 SF5 sales1,620–1,988 SF5 salesOver 1,988 SF4 salesAll18 sales
Net sale price average$280,500$269,002$342,763$390,625$319,074
Net price per SF average$211$178$191$164$186
Living area average1,3351,5091,7982,3871,746
Year built median19981997200220002000

4.10 The numbers: selling

Under 1,485 SF4 sales1,485–1,531 SF5 sales1,620–1,988 SF5 salesOver 1,988 SF4 salesAll18 sales
Days on market median102125563284
Discount from original list average6.6%11.2%7.7%6.8%8.3%
Price cut before sale50%60%40%75%56%
Seller paid closing costs or repairs50%80%80%50%67%
Has a view0%20%0%0%6%

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

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

2026-10-26T05:38:08.249432 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 4 5 5 18 sales Sales per group Before 1997: 4 sales (22%) 1997–1998: 4 sales (22%) 2000: 5 sales (28%) After 2000: 5 sales (28%)
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

2026-10-26T05:38:08.269094 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1997 4 sales 1997– 1998 4 sales 2000 5 sales After 2000 5 sales $0K $200K $400K $314K $314K $270K $375K Net sale price, average

The average is $375K for homes built after 2000 and $314K for homes built before 1997. It does not move in a straight line; homes built after 2000 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T05:38:08.291049 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1997 4 sales 1997– 1998 4 sales 2000 5 sales After 2000 5 sales $0 $100 $200 $197 $198 $172 $182 Net price per SF, average

The average is $182 per SF for homes built after 2000 and $197 per SF for homes built before 1997. It does not move in a straight line; homes built 1997–1998 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T05:38:08.312476 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1997 4 sales 1997– 1998 4 sales 2000 5 sales After 2000 5 sales 0 1,000 2,000 1,638 1,634 1,569 2,097 Living area (SF), average

The average is 2,097 SF for homes built after 2000 and 1,638 SF for homes built before 1997. It does not move in a straight line; homes built after 2000 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T05:38:08.333903 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1997 4 sales 1997– 1998 4 sales 2000 5 sales After 2000 5 sales 0 50 100 118 44 56 123 Days on market, median

The median is 123 days for homes built after 2000 and 118 days for homes built before 1997. It does not move in a straight line; homes built after 2000 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T05:38:08.356114 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1997 4 sales 1997– 1998 4 sales 2000 5 sales After 2000 5 sales 0.0% 5.0% 10.0% 5.7% 7.4% 12.3% 7.1% Discount from original list, average

The average is 7.1% for homes built after 2000 and 5.7% for homes built before 1997. It does not move in a straight line; homes built 2000 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

2026-10-26T05:38:08.381238 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% 25 75 25 75 75 0 60 80 0 60 40 0 Before 1997 1997–1998 2000 After 2000

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

  • 60% of homes built after 2000 had a price cut before sale, against 25% of homes built before 1997. Defined in 8.1.7.
  • 40% of homes built after 2000 had the seller pay closing costs or repairs, against 75% of homes built before 1997. Defined in 8.1.8.
  • 0% of homes built after 2000 have a view, against 25% of homes built before 1997. 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 19974 sales1997–19984 sales20005 salesAfter 20005 salesAll18 sales
Net sale price average$314,438$314,375$270,452$375,163$319,074
Net price per SF average$197$198$172$182$186
Living area average1,6381,6341,5692,0971,746
Year built median19901998200020022000

5.10 The numbers: selling

Before 19974 sales1997–19984 sales20005 salesAfter 20005 salesAll18 sales
Days on market median118445612384
Discount from original list average5.7%7.4%12.3%7.1%8.3%
Price cut before sale25%75%60%60%56%
Seller paid closing costs or repairs75%75%80%40%67%
Has a view25%0%0%0%6%

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

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

2026-10-26T05:38:08.400086 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 1 17 18 sales Sales per group View: 1 sales (6%) No view: 17 sales (94%)
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

2026-10-26T05:38:08.415793 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 17 sales $0K $100K $200K $300K $308K $320K Net sale price, average

The average is $308K for homes with a view and $320K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-26T05:38:08.434450 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 17 sales $0 $50 $100 $150 $200 $203 $185 Net price per SF, average

The average is $203 per SF for homes with a view and $185 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-26T05:38:08.480252 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 17 sales 0 500 1,000 1,500 2,000 1,517 1,759 Living area (SF), average

The average is 1,517 SF for homes with a view and 1,759 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-26T05:38:08.499999 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 17 sales 1988 1992 1996 2000 1986 2000 Year built: median (dot) and middle half (bar)

The median is 1986 for homes with a view and 2000 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-10-26T05:38:08.518772 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 17 sales 0 50 100 150 125 56 Days on market, median

The median is 125 days for homes with a view and 56 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

2026-10-26T05:38:08.538453 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 17 sales 0.0% 2.5% 5.0% 7.5% 10.0% 3.4% 8.5% Discount from original list, average

The average is 3.4% for homes with a view and 8.5% 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

2026-10-26T05:38:08.557704 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 0 100 59 65 View No view

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

  • 0% of homes with a view had a price cut before sale, against 59% 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 65% 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

View1 salesNo view17 salesAll18 sales
Net sale price average$308,250$319,710$319,074
Net price per SF average$203$185$186
Living area average1,5171,7591,746
Year built median198620002000

6.11 The numbers: selling

View1 salesNo view17 salesAll18 sales
Days on market median1255684
Discount from original list average3.4%8.5%8.3%
Price cut before sale0%59%56%
Seller paid closing costs or repairs100%65%67%

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 Heatherwilde.

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
18 resale sales. Average $319,074; median $311,625; standard deviation $57,439; middle half (25th–75th percentile) $283,500–$366,500; lowest $210,000, highest $432,000. 12 sales had a seller payment; their median payment was $8,000.

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
18 resale sales. Average $186; median $186; standard deviation $24; middle half (25th–75th percentile) $169–$200; lowest $141, highest $233.

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
18 resale sales. Average 1,746; median 1,576; standard deviation 417; middle half (25th–75th percentile) 1,485–1,983; lowest 1,246, highest 2,751.

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
18 resale sales. Average 1998; median 2000; standard deviation 5; middle half (25th–75th percentile) 1997–2001; lowest 1986, highest 2002.

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
18 resale sales. Average 123; median 84; standard deviation 137; middle half (25th–75th percentile) 37–159; lowest 5, highest 574. 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
18 resale sales. Average 8.3%; median 6.4%; standard deviation 6.2%; middle half (25th–75th percentile) 4.0%–10.9%; lowest 0.0%, highest 24.2%. 0 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
10 of 18 resale sales (55.6%).

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
12 of 18 resale sales (66.7%).

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
1 sales with a view, 17 without, 0 unclassified. Most common View entries: None 14, Neighborhood 3, Park/Greenbelt 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 = Pflugerville, SubdivisionName contains any of “heatherwilde” (case-insensitive). A record is kept when its subdivision name belongs to the Heatherwilde family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 18 closed Heatherwilde records over the prior year, in ZIP 78660. 10 subdivision spellings kept: Heatherwilde Sec 03 (6); Heatherwilde Sec 04 Ph 04 (3); Heatherwilde Sec 02 Ph 02 (2); Heatherwilde (1); Heatherwilde Sec 01 (1); Heatherwilde Sec 4 Phs 3 (1); Heatherwilde Sec 04 Ph 02 (1); Heatherwilde Sec 02 Ph 03 (1); HEATHERWILDE SEC 2 PHS 2 (1); Heatherwilde Sec 04 Ph 03 (1). 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 9 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
18 single-family sales in the window: 18 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
18 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 $282K”.
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 $282K: $210,000–$270,000 (4 sales); $282K–$308K: $282,000–$308,250 (5 sales); $315K–$367K: $315,000–$367,000 (5 sales); Over $367K: $368,000–$432,000 (4 sales)
Quartiles by living area: Under 1,485 SF: 1,246–1,464 SF (4 sales); 1,485–1,531 SF: 1,485–1,531 SF (5 sales); 1,620–1,988 SF: 1,620–1,988 SF (5 sales); Over 1,988 SF: 2,161–2,751 SF (4 sales)
Quartiles by year built: Before 1997: 1986–1995 (4 sales); 1997–1998: 1997–1998 (4 sales); 2000: 2000–2000 (5 sales); After 2000: 2001–2002 (5 sales)
View and no view: View: MLS lists a view (1 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 $319,074, median $311,625. Days on market: average 123, median 84: 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); 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 18 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.