ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Peppertree Park

Austin, TX 78744
Resale homes · closed Oct 28 – Oct 27, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
October 28, 2026 · 4:02 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
12
single-family resale homes
Median net sale price
$276,750
average $293,376
Median net price per SF
$206
average $210
Median days on market
83 days
average 132 days
1. SummaryResale homes · 12 sales · October 28, 2025 – October 27, 2026

This study looks at the 12 resale homes sold in Peppertree Park in the 365 days to October 27, 2026. A full year is used because only 8 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 sold12 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 $250K · 3 sales$250K–$258K · 3 sales$295K–$300K · 3 salesOver $300K · 3 sales
3. Quartiles by net sale priceResale homes · 12 sales · October 28, 2025 – October 27, 2026

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

2026-10-28T04:02:43.496397 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 3 3 3 12 sales Sales per group Under $250K: 3 sales (25%) $250K–$258K: 3 sales (25%) $295K–$300K: 3 sales (25%) Over $300K: 3 sales (25%)
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

2026-10-28T04:02:43.526609 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $250K 3 sales $250K– $258K 3 sales $295K– $300K 3 sales Over $300K 3 sales $0 $100 $200 $183 $190 $227 $240 Net price per SF, average

The average is $240 per SF for homes over $300K and $183 per SF for homes under $250K. It rises step by step from the lowest range to the highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-10-28T04:02:43.552980 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $250K 3 sales $250K– $258K 3 sales $295K– $300K 3 sales Over $300K 3 sales 0 1,000 2,000 1,031 1,347 1,312 1,875 Living area (SF), average

The average is 1,875 SF for homes over $300K and 1,031 SF for homes under $250K. It does not move in a straight line; homes over $300K are highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-10-28T04:02:43.583496 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $250K 3 sales $250K– $258K 3 sales $295K– $300K 3 sales Over $300K 3 sales 1974 1980 1986 1992 1978 1975 1975 1977 Year built: median (dot) and middle half (bar)

The median is 1977 for homes over $300K and 1978 for homes under $250K. It does not move in a straight line; homes under $250K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-10-28T04:02:43.612005 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $250K 3 sales $250K– $258K 3 sales $295K– $300K 3 sales Over $300K 3 sales 0 100 200 25 195 44 115 Days on market, median

The median is 115 days for homes over $300K and 25 days for homes under $250K. It does not move in a straight line; homes $250K–$258K are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-10-28T04:02:43.642818 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $250K 3 sales $250K– $258K 3 sales $295K– $300K 3 sales Over $300K 3 sales 0.0% 10.0% 20.0% 16.8% 21.8% 4.1% 7.7% Discount from original list, average

The average is 7.7% for homes over $300K and 16.8% for homes under $250K. It does not move in a straight line; homes $250K–$258K 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

2026-10-28T04:02:43.682700 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% 33 33 0 67 100 0 67 67 33 33 33 0 Under $250K $250K–$258K $295K–$300K Over $300K

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

  • 33% of homes over $300K had a price cut before sale, against 33% of homes under $250K. Defined in 8.1.7.
  • 33% of homes over $300K had the seller pay closing costs or repairs, against 33% of homes under $250K. Defined in 8.1.8.
  • 0% of homes over $300K have a view, against 0% of homes under $250K. 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 $250K3 sales$250K–$258K3 sales$295K–$300K3 salesOver $300K3 salesAll12 sales
Net sale price average$188,042$254,497$297,633$433,333$293,376
Net price per SF average$183$190$227$240$210
Living area average1,0311,3471,3121,8751,392
Year built median19781975197519771976

3.10 The numbers: selling

Under $250K3 sales$250K–$258K3 sales$295K–$300K3 salesOver $300K3 salesAll12 sales
Days on market median251954411583
Discount from original list average16.8%21.8%4.1%7.7%12.6%
Price cut before sale33%67%67%33%50%
Seller paid closing costs or repairs33%100%67%33%58%
Has a view0%0%33%0%8%

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 · 12 sales · October 28, 2025 – October 27, 2026

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

2026-10-28T04:02:43.708796 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 3 3 3 12 sales Sales per group Under 1,245 SF: 3 sales (25%) 1,245–1,284 SF: 3 sales (25%) 1,309–1,425 SF: 3 sales (25%) Over 1,425 SF: 3 sales (25%)
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

2026-10-28T04:02:43.730950 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,245 SF 3 sales 1,245– 1,284 SF 3 sales 1,309– 1,425 SF 3 sales Over 1,425 SF 3 sales $0K $200K $400K $188K $269K $319K $397K Net sale price, average

The average is $397K for homes over 1,425 SF and $188K for homes under 1,245 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

2026-10-28T04:02:43.755709 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,245 SF 3 sales 1,245– 1,284 SF 3 sales 1,309– 1,425 SF 3 sales Over 1,425 SF 3 sales $0 $100 $200 $183 $212 $234 $211 Net price per SF, average

The average is $211 per SF for homes over 1,425 SF and $183 per SF for homes under 1,245 SF. It does not move in a straight line; homes 1,309–1,425 SF are highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-10-28T04:02:43.782864 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,245 SF 3 sales 1,245– 1,284 SF 3 sales 1,309– 1,425 SF 3 sales Over 1,425 SF 3 sales 1974 1980 1986 1992 1978 1975 1975 1977 Year built: median (dot) and middle half (bar)

The median is 1977 for homes over 1,425 SF and 1978 for homes under 1,245 SF. It does not move in a straight line; homes under 1,245 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-10-28T04:02:43.811228 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,245 SF 3 sales 1,245– 1,284 SF 3 sales 1,309– 1,425 SF 3 sales Over 1,425 SF 3 sales 0 100 200 25 195 44 115 Days on market, median

The median is 115 days for homes over 1,425 SF and 25 days for homes under 1,245 SF. It does not move in a straight line; homes 1,245–1,284 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-10-28T04:02:43.833978 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,245 SF 3 sales 1,245– 1,284 SF 3 sales 1,309– 1,425 SF 3 sales Over 1,425 SF 3 sales 0.0% 10.0% 20.0% 16.8% 17.5% 8.0% 8.1% Discount from original list, average

The average is 8.1% for homes over 1,425 SF and 16.8% for homes under 1,245 SF. It does not move in a straight line; homes 1,245–1,284 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

2026-10-28T04:02:43.861065 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% 33 33 0 67 100 0 67 67 33 33 33 0 Under 1,245 SF 1,245–1,284 SF 1,309–1,425 SF Over 1,425 SF

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

  • 33% of homes over 1,425 SF had a price cut before sale, against 33% of homes under 1,245 SF. Defined in 8.1.7.
  • 33% of homes over 1,425 SF had the seller pay closing costs or repairs, against 33% of homes under 1,245 SF. Defined in 8.1.8.
  • 0% of homes over 1,425 SF have a view, against 0% of homes under 1,245 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 1,245 SF3 sales1,245–1,284 SF3 sales1,309–1,425 SF3 salesOver 1,425 SF3 salesAll12 sales
Net sale price average$188,042$269,463$319,333$396,667$293,376
Net price per SF average$183$212$234$211$210
Living area average1,0311,2711,3591,9041,392
Year built median19781975197519771976

4.10 The numbers: selling

Under 1,245 SF3 sales1,245–1,284 SF3 sales1,309–1,425 SF3 salesOver 1,425 SF3 salesAll12 sales
Days on market median251954411583
Discount from original list average16.8%17.5%8.0%8.1%12.6%
Price cut before sale33%67%67%33%50%
Seller paid closing costs or repairs33%100%67%33%58%
Has a view0%0%33%0%8%

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 · 12 sales · October 28, 2025 – October 27, 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 2 groups are shown: homes here share a few year built values, and no group may hold fewer than 3 sales.

2026-10-28T04:02:43.878842 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 6 12 sales Sales per group Before 1977: 6 sales (50%) After 1975: 6 sales (50%)
Bottom line: no measure differs enough between the groups to rule out chance.

5.1 Key differences

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

5.2 At a glance

Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.

Before 1977After 1975Real difference?
Net sale price$275K$312Kunclear
Net price per SF$211 per SF$209 per SFunclear
Living area1,300 SF1,484 SFunclear
Days on market34 days168 daysunclear
Discount from original list8.0%17.2%unclear
Price cut before sale33%67%unclear
Seller paid closing costs or repairs83%33%unclear
Has a view0%17%unclear

5.3 Net sale price: no clear difference

2026-10-28T04:02:43.895258 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1977 6 sales After 1975 6 sales $0K $100K $200K $300K $275K $312K Net sale price, average

The average is $312K for homes built after 1975 and $275K for homes built before 1977. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-10-28T04:02:43.914653 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1977 6 sales After 1975 6 sales $0 $100 $200 $211 $209 Net price per SF, average

The average is $209 per SF for homes built after 1975 and $211 per SF for homes built before 1977. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-10-28T04:02:43.931619 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1977 6 sales After 1975 6 sales 0 500 1,000 1,500 1,300 1,484 Living area (SF), average

The average is 1,484 SF for homes built after 1975 and 1,300 SF for homes built before 1977. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-10-28T04:02:43.949672 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1977 6 sales After 1975 6 sales 0 50 100 150 200 34 168 Days on market, median

The median is 168 days for homes built after 1975 and 34 days for homes built before 1977. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-10-28T04:02:43.970341 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1977 6 sales After 1975 6 sales 0.0% 5.0% 10.0% 15.0% 20.0% 8.0% 17.2% Discount from original list, average

The average is 17.2% for homes built after 1975 and 8.0% for homes built before 1977. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-10-28T04:02:43.993881 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% 33 83 0 67 33 17 Before 1977 After 1975

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

  • 67% of homes built after 1975 had a price cut before sale, against 33% of homes built before 1977. Defined in 8.1.7.
  • 33% of homes built after 1975 had the seller pay closing costs or repairs, against 83% of homes built before 1977. Defined in 8.1.8.
  • 17% of homes built after 1975 have a view, against 0% of homes built before 1977. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance

5.9 The numbers: price and size

Before 19776 salesAfter 19756 salesAll12 salesReal difference?
Net sale price average$275,233$311,519$293,376unclear
Net price per SF average$211$209$210unclear
Living area average1,3001,4841,392unclear
Year built median197519781976by design

5.10 The numbers: selling

Before 19776 salesAfter 19756 salesAll12 salesReal difference?
Days on market median3416883unclear
Discount from original list average8.0%17.2%12.6%unclear
Price cut before sale33%67%50%unclear
Seller paid closing costs or repairs83%33%58%unclear
Has a view0%17%8%unclear

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.3.

6. View and no viewResale homes · 12 sales · October 28, 2025 – October 27, 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.

2026-10-28T04:02:44.011433 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 1 10 11 sales Sales per group View: 1 sales (9%) No view: 10 sales (91%)
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

2026-10-28T04:02:44.030065 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 10 sales $0K $100K $200K $300K $295K $264K Net sale price, average

The average is $295K for homes with a view and $264K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-28T04:02:44.049183 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 10 sales $0 $100 $200 $225 $198 Net price per SF, average

The average is $225 per SF for homes with a view and $198 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-28T04:02:44.067071 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 10 sales 0 500 1,000 1,500 1,309 1,353 Living area (SF), average

The average is 1,309 SF for homes with a view and 1,353 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-28T04:02:44.085925 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 10 sales 1975 1976 1977 1977 1975 Year built: median (dot) and middle half (bar)

The median is 1977 for homes with a view and 1975 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-10-28T04:02:44.130709 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 10 sales 0 100 200 300 400 405 48 Days on market, median

The median is 405 days for homes with a view and 48 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

2026-10-28T04:02:44.148947 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 10 sales 0.0% 5.0% 10.0% 15.0% 14.5% 13.5% Discount from original list, average

The average is 14.5% for homes with a view and 13.5% 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

2026-10-28T04:02:44.168910 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 100 0 50 70 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 50% 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 70% 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 view10 salesAll11 sales
Net sale price average$295,000$263,552$266,410
Net price per SF average$225$198$200
Living area average1,3091,3531,349
Year built median197719751975

6.11 The numbers: selling

View1 salesNo view10 salesAll11 sales
Days on market median4054851
Discount from original list average14.5%13.5%13.6%
Price cut before sale100%50%55%
Seller paid closing costs or repairs0%70%64%

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 28, 2025 – October 27, 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 Peppertree Park.

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
12 resale sales. Average $293,376; median $276,750; standard deviation $110,529; middle half (25th–75th percentile) $239,774–$311,175; lowest $175,000, highest $590,000. 7 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
12 resale sales. Average $210; median $206; standard deviation $46; middle half (25th–75th percentile) $175–$227; lowest $147, highest $317.

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
12 resale sales. Average 1,392; median 1,296; standard deviation 379; middle half (25th–75th percentile) 1,205–1,447; lowest 986, highest 2,340.

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
12 resale sales. Average 1979; median 1976; standard deviation 12; middle half (25th–75th percentile) 1975–1978; lowest 1971, highest 2015.

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
12 resale sales. Average 132; median 83; standard deviation 134; middle half (25th–75th percentile) 25–204; lowest 5, highest 405. 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
12 resale sales. Average 12.6%; median 11.2%; standard deviation 12.6%; middle half (25th–75th percentile) 3.5%–21.1%; lowest −9.1%, highest 31.1%. 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
6 of 12 resale sales (50.0%).

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
7 of 12 resale sales (58.3%).

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, 10 without, 1 unclassified. Most common View entries: None 7, Neighborhood 4, City 1, See Remarks 1.

8.2 Methods

8.2.1 Data source

In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
Bridge Interactive RESO Web API (OData), ABOR dataset, every field returned. Filter: StandardStatus = Closed, PropertyType = Residential, City = Austin, SubdivisionName contains any of “peppertree park” (case-insensitive). A record is kept when its subdivision name belongs to the Peppertree Park family, the same rule comparable sales use.
The data
Pulled October 28, 2026: 12 closed Peppertree Park records over the prior year, in ZIP 78744. 5 subdivision spellings kept: Peppertree Park Sec 03 (8); Peppertree Park (1); Peppertree Park Sec 01 (1); Peppertree Park Sec 05 (1); Peppertree Park Sec 02 (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 8 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 28, 2025 to October 27, 2026 inclusive.
The data
12 single-family sales in the window: 12 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
12 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 $250K”.
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 $250K: $175,000–$209,125 (3 sales); $250K–$258K: $249,990–$258,500 (3 sales); $295K–$300K: $295,000–$299,900 (3 sales); Over $300K: $345,000–$590,000 (3 sales)
Quartiles by living area: Under 1,245 SF: 986–1,086 SF (3 sales); 1,245–1,284 SF: 1,245–1,284 SF (3 sales); 1,309–1,425 SF: 1,309–1,425 SF (3 sales); Over 1,425 SF: 1,513–2,340 SF (3 sales)
Groups by year built: Before 1977: 1971–1975 (6 sales); After 1975: 1977–2015 (6 sales)
View and no view: View: MLS lists a view (1 sales); No view: None or Neighborhood (10 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 $293,376, median $276,750. Days on market: average 132, median 83: 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
Groups by year built: m = 8, threshold p < 0.0063

8.2.11 Size of a difference

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

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 19.00—0.9372p < 0.0063Unclearrank-biserial r = 0.056negligible
Net price per SFMann–Whitney UU = 22.00—0.5887p < 0.0063Unclearrank-biserial r = 0.222small
Living areaMann–Whitney UU = 16.50—0.8726p < 0.0063Unclearrank-biserial r = 0.083negligible
Days on marketMann–Whitney UU = 6.00—0.0649p < 0.0063Unclearrank-biserial r = 0.667large
Discount from original listMann–Whitney UU = 11.00—0.3095p < 0.0063Unclearrank-biserial r = 0.389medium
Price cut before saleChi-squareχ² = 1.3310.2482p < 0.0063UnclearCramér’s V = 0.333medium
Seller paid closing costs or repairsChi-squareχ² = 3.0910.0790p < 0.0063UnclearCramér’s V = 0.507large
Has a viewChi-squareχ² = 1.0910.2963p < 0.0063UnclearCramér’s V = 0.302medium

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 12 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 28, 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.