ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Beaconridge

Austin, TX 78748 · 78745
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 · 4:26 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
14
single-family resale homes
Median net sale price
$382,500
average $400,027
Median net price per SF
$263
average $259
Median days on market
60 days
average 80 days
1. SummaryResale homes · 14 sales · October 26, 2025 – October 25, 2026

This study looks at the 14 resale homes sold in Beaconridge in the 365 days to October 25, 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 sold14 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 $351K · 4 sales$351K–$380K · 3 sales$385K–$412K · 3 salesOver $412K · 4 sales
3. Quartiles by net sale priceResale homes · 14 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.

2026-10-26T04:26:19.997156 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 3 3 4 14 sales Sales per group Under $351K: 4 sales (29%) $351K–$380K: 3 sales (21%) $385K–$412K: 3 sales (21%) Over $412K: 4 sales (29%)
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

2026-10-26T04:26:20.026535 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $351K 4 sales $351K– $380K 3 sales $385K– $412K 3 sales Over $412K 4 sales $0 $100 $200 $300 $228 $230 $249 $320 Net price per SF, average

The average is $320 per SF for homes over $412K and $228 per SF for homes under $351K. 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

2026-10-26T04:26:20.049856 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $351K 4 sales $351K– $380K 3 sales $385K– $412K 3 sales Over $412K 4 sales 0 500 1,000 1,500 1,502 1,611 1,662 1,565 Living area (SF), average

The average is 1,565 SF for homes over $412K and 1,502 SF for homes under $351K. It does not move in a straight line; homes $385K–$412K are highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-10-26T04:26:20.073920 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $351K 4 sales $351K– $380K 3 sales $385K– $412K 3 sales Over $412K 4 sales 1977 1978 1979 1977 1977 1977 1978 Year built: median (dot) and middle half (bar)

The median is 1978 for homes over $412K and 1977 for homes under $351K. It rises step by step from the lowest range to the highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-10-26T04:26:20.097503 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $351K 4 sales $351K– $380K 3 sales $385K– $412K 3 sales Over $412K 4 sales 0 25 50 75 54 68 52 83 Days on market, median

The median is 83 days for homes over $412K and 54 days for homes under $351K. It does not move in a straight line; homes over $412K are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-10-26T04:26:20.120022 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $351K 4 sales $351K– $380K 3 sales $385K– $412K 3 sales Over $412K 4 sales 0.0% 5.0% 10.0% 11.9% 3.8% 7.9% 3.8% Discount from original list, average

The average is 3.8% for homes over $412K and 11.9% for homes under $351K. It does not move in a straight line; homes under $351K 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

2026-10-26T04:26:20.150459 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% 75 100 0 33 100 0 67 67 33 25 75 50 Under $351K $351K–$380K $385K–$412K Over $412K

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

  • 25% of homes over $412K had a price cut before sale, against 75% of homes under $351K. Defined in 8.1.7.
  • 75% of homes over $412K had the seller pay closing costs or repairs, against 100% of homes under $351K. Defined in 8.1.8.
  • 50% of homes over $412K have a view, against 0% of homes under $351K. 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 $351K4 sales$351K–$380K3 sales$385K–$412K3 salesOver $412K4 salesAll14 sales
Net sale price average$328,200$366,667$397,080$499,084$400,027
Net price per SF average$228$230$249$320$259
Living area average1,5021,6111,6621,5651,578
Year built median19771977197719781977

3.10 The numbers: selling

Under $351K4 sales$351K–$380K3 sales$385K–$412K3 salesOver $412K4 salesAll14 sales
Days on market median5468528360
Discount from original list average11.9%3.8%7.9%3.8%7.0%
Price cut before sale75%33%67%25%50%
Seller paid closing costs or repairs100%100%67%75%86%
Has a view0%0%33%50%21%

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 · 14 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.

2026-10-26T04:26:20.171726 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 3 3 4 14 sales Sales per group Under 1,474 SF: 4 sales (29%) 1,474–1,554 SF: 3 sales (21%) 1,558–1,620 SF: 3 sales (21%) Over 1,620 SF: 4 sales (29%)
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

2026-10-26T04:26:20.192865 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,474 SF 4 sales 1,474– 1,554 SF 3 sales 1,558– 1,620 SF 3 sales Over 1,620 SF 4 sales $0K $200K $400K $381K $410K $440K $382K Net sale price, average

The average is $382K for homes over 1,620 SF and $381K for homes under 1,474 SF. It does not move in a straight line; homes 1,558–1,620 SF are highest. Defined in 8.1.1.

Not tested: too few sales.

4.4 Net price per SF: described, not tested

2026-10-26T04:26:20.215705 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,474 SF 4 sales 1,474– 1,554 SF 3 sales 1,558– 1,620 SF 3 sales Over 1,620 SF 4 sales $0 $100 $200 $300 $290 $270 $279 $205 Net price per SF, average

The average is $205 per SF for homes over 1,620 SF and $290 per SF for homes under 1,474 SF. It does not move in a straight line; homes under 1,474 SF are highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-10-26T04:26:20.239246 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,474 SF 4 sales 1,474– 1,554 SF 3 sales 1,558– 1,620 SF 3 sales Over 1,620 SF 4 sales 1977 1978 1979 1979 1977 1977 1977 Year built: median (dot) and middle half (bar)

The median is 1977 for homes over 1,620 SF and 1979 for homes under 1,474 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-10-26T04:26:20.262372 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,474 SF 4 sales 1,474– 1,554 SF 3 sales 1,558– 1,620 SF 3 sales Over 1,620 SF 4 sales 0 50 100 150 133 4 18 79 Days on market, median

The median is 79 days for homes over 1,620 SF and 133 days for homes under 1,474 SF. It does not move in a straight line; homes under 1,474 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-10-26T04:26:20.285372 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,474 SF 4 sales 1,474– 1,554 SF 3 sales 1,558– 1,620 SF 3 sales Over 1,620 SF 4 sales 0.0% 5.0% 10.0% 15.0% 14.3% -1.1% 6.3% 6.3% Discount from original list, average

The average is 6.3% for homes over 1,620 SF and 14.3% for homes under 1,474 SF. It does not move in a straight line; homes under 1,474 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

2026-10-26T04:26:20.312823 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% 75 100 0 0 67 0 33 100 67 75 75 25 Under 1,474 SF 1,474–1,554 SF 1,558–1,620 SF Over 1,620 SF

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

  • 75% of homes over 1,620 SF had a price cut before sale, against 75% of homes under 1,474 SF. Defined in 8.1.7.
  • 75% of homes over 1,620 SF had the seller pay closing costs or repairs, against 100% of homes under 1,474 SF. Defined in 8.1.8.
  • 25% of homes over 1,620 SF have a view, against 0% of homes under 1,474 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 1,474 SF4 sales1,474–1,554 SF3 sales1,558–1,620 SF3 salesOver 1,620 SF4 salesAll14 sales
Net sale price average$380,869$410,333$439,750$381,662$400,027
Net price per SF average$290$270$279$205$259
Living area average1,3151,5171,5791,8841,578
Year built median19791977197719771977

4.10 The numbers: selling

Under 1,474 SF4 sales1,474–1,554 SF3 sales1,558–1,620 SF3 salesOver 1,620 SF4 salesAll14 sales
Days on market median1334187960
Discount from original list average14.3%−1.1%6.3%6.3%7.0%
Price cut before sale75%0%33%75%50%
Seller paid closing costs or repairs100%67%100%75%86%
Has a view0%0%67%25%21%

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

Sales ranked by year built and cut into four groups, from the oldest to the newest. Homes built in the same year always stay in the same group, so group sizes can differ a little. Only 2 groups are shown: homes here share a few year built values, and no group may hold fewer than 3 sales.

2026-10-26T04:26:20.331113 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 8 6 14 sales Sales per group Before 1978: 8 sales (57%) After 1977: 6 sales (43%)
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 1978After 1977Real difference?
Net sale price$382K$425Kunclear
Net price per SF$242 per SF$282 per SFunclear
Living area1,625 SF1,514 SFunclear
Days on market52 days100 daysunclear
Discount from original list6.2%8.1%unclear
Price cut before sale50%50%unclear
Seller paid closing costs or repairs88%83%unclear
Has a view25%17%unclear

5.3 Net sale price: no clear difference

2026-10-26T04:26:20.348112 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1978 8 sales After 1977 6 sales $0K $200K $400K $382K $425K Net sale price, average

The average is $425K for homes built after 1977 and $382K for homes built before 1978. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-10-26T04:26:20.366987 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1978 8 sales After 1977 6 sales $0 $100 $200 $300 $242 $282 Net price per SF, average

The average is $282 per SF for homes built after 1977 and $242 per SF for homes built before 1978. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-10-26T04:26:20.384706 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1978 8 sales After 1977 6 sales 0 500 1,000 1,500 1,625 1,514 Living area (SF), average

The average is 1,514 SF for homes built after 1977 and 1,625 SF for homes built before 1978. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-10-26T04:26:20.403531 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1978 8 sales After 1977 6 sales 0 25 50 75 100 52 100 Days on market, median

The median is 100 days for homes built after 1977 and 52 days for homes built before 1978. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-10-26T04:26:20.423205 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1978 8 sales After 1977 6 sales 0.0% 2.0% 4.0% 6.0% 8.0% 6.2% 8.1% Discount from original list, average

The average is 8.1% for homes built after 1977 and 6.2% for homes built before 1978. 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

2026-10-26T04:26:20.445518 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 88 25 50 83 17 Before 1978 After 1977

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

  • 50% of homes built after 1977 had a price cut before sale, against 50% of homes built before 1978. Defined in 8.1.7.
  • 83% of homes built after 1977 had the seller pay closing costs or repairs, against 88% of homes built before 1978. Defined in 8.1.8.
  • 17% of homes built after 1977 have a view, against 25% of homes built before 1978. 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 19788 salesAfter 19776 salesAll14 salesReal difference?
Net sale price average$381,631$424,554$400,027unclear
Net price per SF average$242$282$259unclear
Living area average1,6251,5141,578unclear
Year built median197719791977by design

5.10 The numbers: selling

Before 19788 salesAfter 19776 salesAll14 salesReal difference?
Days on market median5210060unclear
Discount from original list average6.2%8.1%7.0%unclear
Price cut before sale50%50%50%unclear
Seller paid closing costs or repairs88%83%86%unclear
Has a view25%17%21%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 · 14 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.

2026-10-26T04:26:20.461984 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 11 14 sales Sales per group View: 3 sales (21%) No view: 11 sales (79%)
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

2026-10-26T04:26:20.478339 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 11 sales $0K $200K $400K $478K $379K Net sale price, average

The average is $478K for homes with a view and $379K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-26T04:26:20.496663 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 11 sales $0 $100 $200 $300 $298 $249 Net price per SF, average

The average is $298 per SF for homes with a view and $249 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-26T04:26:20.514089 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 11 sales 0 500 1,000 1,500 1,611 1,569 Living area (SF), average

The average is 1,611 SF for homes with a view and 1,569 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-26T04:26:20.532617 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 11 sales 1977 1978 1979 1977 1977 Year built: median (dot) and middle half (bar)

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

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-10-26T04:26:20.602054 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 11 sales 0 20 40 60 80 53 68 Days on market, median

The median is 53 days for homes with a view and 68 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

2026-10-26T04:26:20.622749 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 11 sales 0.0% 2.0% 4.0% 6.0% 8.0% 2.8% 8.1% Discount from original list, average

The average is 2.8% for homes with a view and 8.1% 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

2026-10-26T04:26:20.643483 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 0 100 64 82 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 64% 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 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

View3 salesNo view11 salesAll14 sales
Net sale price average$478,217$378,702$400,027
Net price per SF average$298$249$259
Living area average1,6111,5691,578
Year built median197719771977

6.11 The numbers: selling

View3 salesNo view11 salesAll14 sales
Days on market median536860
Discount from original list average2.8%8.1%7.0%
Price cut before sale0%64%50%
Seller paid closing costs or repairs100%82%86%

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 Beaconridge.

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
14 resale sales. Average $400,027; median $382,500; standard deviation $76,204; middle half (25th–75th percentile) $350,250–$436,015; lowest $305,550, highest $565,000. 12 sales had a seller payment; their median payment was $8,525.

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
14 resale sales. Average $259; median $263; standard deviation $59; middle half (25th–75th percentile) $215–$299; lowest $168, highest $362.

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
14 resale sales. Average 1,578; median 1,556; standard deviation 259; middle half (25th–75th percentile) 1,463–1,692; lowest 1,034, highest 2,114.

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
14 resale sales. Average 1978; median 1977; standard deviation 1; middle half (25th–75th percentile) 1977–1979; lowest 1976, highest 1979.

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
14 resale sales. Average 80; median 60; standard deviation 80; middle half (25th–75th percentile) 8–107; lowest 4, highest 243. 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
14 resale sales. Average 7.0%; median 3.8%; standard deviation 7.6%; middle half (25th–75th percentile) 2.1%–12.1%; lowest −2.9%, highest 23.4%. 2 sales closed above their first asking price.

8.1.7 Price cut before sale

In simple terms
The asking price was lowered at least once before the home went under contract.
Statistically
Indicator: ListPrice at close < OriginalListPrice. Reported as the share of sales (%).
The data
7 of 14 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
12 of 14 resale sales (85.7%).

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
3 sales with a view, 11 without, 0 unclassified. Most common View entries: None 8, Neighborhood 5, Trees/Woods 3.

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 “beaconridge” (case-insensitive). A record is kept when its subdivision name belongs to the Beaconridge family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 15 closed Beaconridge records over the prior year, in ZIP 78748, 78745. 3 subdivision spellings kept: Beaconridge 03 (8); Beaconridge 04-B (4); Beaconridge 04-A (3). Names found by the search but not part of Beaconridge, left out: Beaconridge I (2); Beaconridge V (1); BEACONRIDGE II AMENDED (1); Beaconridge West (1).

8.2.2 Study window

In simple terms
The most recent 365 days of closed sales: recent enough to describe today's market, long enough to give each group plenty of sales. The usual window is 180 days; it holds only 10 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
14 single-family sales in the window: 14 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
14 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 concessions above 10% of 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 $351K”.
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 $351K: $305,550–$350,000 (4 sales); $351K–$380K: $351,000–$380,000 (3 sales); $385K–$412K: $385,000–$412,250 (3 sales); Over $412K: $443,937–$565,000 (4 sales)
Quartiles by living area: Under 1,474 SF: 1,034–1,459 SF (4 sales); 1,474–1,554 SF: 1,474–1,554 SF (3 sales); 1,558–1,620 SF: 1,558–1,620 SF (3 sales); Over 1,620 SF: 1,716–2,114 SF (4 sales)
Groups by year built: Before 1978: 1976–1977 (8 sales); After 1977: 1978–1979 (6 sales)
View and no view: View: MLS lists a view (3 sales); No view: None or Neighborhood (11 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 $400,027, median $382,500. Days on market: average 80, median 60: 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 = 14.00—0.2284p < 0.0063Unclearrank-biserial r = 0.417medium
Net price per SFMann–Whitney UU = 13.00—0.1812p < 0.0063Unclearrank-biserial r = 0.458medium
Living areaMann–Whitney UU = 33.00—0.2824p < 0.0063Unclearrank-biserial r = 0.375medium
Days on marketMann–Whitney UU = 15.00—0.2704p < 0.0063Unclearrank-biserial r = 0.375medium
Discount from original listMann–Whitney UU = 18.00—0.4908p < 0.0063Unclearrank-biserial r = 0.250small
Price cut before saleChi-squareχ² = 0.0011.0000p < 0.0063UnclearCramér’s V = 0.000negligible
Seller paid closing costs or repairsChi-squareχ² = 0.0510.8255p < 0.0063UnclearCramér’s V = 0.059negligible
Has a viewChi-squareχ² = 0.1410.7069p < 0.0063UnclearCramér’s V = 0.101small

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 concessions above 10% of 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 14 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.