ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Addison

Austin, TX 78744
Resale homes · closed Nov 5 – Nov 4, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
November 5, 2026 · 2:47 PM CST
MARKET STUDY All analysis covers resale homes only. New construction appears once, in its own section. Click any dot on the map for that sale.
Resale sales, 365 days
18
single-family resale homes
Median net sale price
$330,750
average $340,856
Median net price per SF
$157
average $171
Median days on market
39 days
average 50 days
1. SummaryResale homes · 18 sales · November 5, 2025 – November 4, 2026

This study looks at the 18 resale homes sold in Addison in the 365 days to November 4, 2026. A full year is used because only 12 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 $317K · 4 sales$317K–$330K · 5 sales$332K–$350K · 5 salesOver $350K · 4 sales
3. Quartiles by net sale priceResale homes · 18 sales · November 5, 2025 – November 4, 2026

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

2026-11-05T14:47:51.863632 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 5 5 4 18 sales Sales per group Under $317K: 4 sales (22%) $317K–$330K: 5 sales (28%) $332K–$350K: 5 sales (28%) Over $350K: 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

2026-11-05T14:47:51.891816 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $317K 4 sales $317K– $330K 5 sales $332K– $350K 5 sales Over $350K 4 sales $0 $100 $200 $194 $147 $165 $184 Net price per SF, average

The average is $184 per SF for homes over $350K and $194 per SF for homes under $317K. It does not move in a straight line; homes under $317K are highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-11-05T14:47:51.914901 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $317K 4 sales $317K– $330K 5 sales $332K– $350K 5 sales Over $350K 4 sales 0 1,000 2,000 1,622 2,222 2,095 2,230 Living area (SF), average

The average is 2,230 SF for homes over $350K and 1,622 SF for homes under $317K. It does not move in a straight line; homes over $350K are highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-11-05T14:47:51.937902 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $317K 4 sales $317K– $330K 5 sales $332K– $350K 5 sales Over $350K 4 sales 2016 2018 2020 2018 2018 2015 2018 Year built: median (dot) and middle half (bar)

The median is 2018 for homes over $350K and 2018 for homes under $317K. It does not move in a straight line; homes under $317K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-11-05T14:47:51.960728 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $317K 4 sales $317K– $330K 5 sales $332K– $350K 5 sales Over $350K 4 sales 0 25 50 75 82 29 31 28 Days on market, median

The median is 28 days for homes over $350K and 82 days for homes under $317K. It does not move in a straight line; homes under $317K are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-11-05T14:47:51.983127 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $317K 4 sales $317K– $330K 5 sales $332K– $350K 5 sales Over $350K 4 sales 0.0% 5.0% 10.0% 9.9% 2.0% 2.5% 4.7% Discount from original list, average

The average is 4.7% for homes over $350K and 9.9% for homes under $317K. It does not move in a straight line; homes under $317K are highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-11-05T14:47:52.012916 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% 100 100 0 40 20 0 20 60 20 25 75 25 Under $317K $317K–$330K $332K–$350K Over $350K

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

  • 25% of homes over $350K had a price cut before sale, against 100% of homes under $317K. Defined in 8.1.7.
  • 75% of homes over $350K had the seller pay closing costs or repairs, against 100% of homes under $317K. Defined in 8.1.8.
  • 25% of homes over $350K have a view, against 0% of homes under $317K. 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 $317K4 sales$317K–$330K5 sales$332K–$350K5 salesOver $350K4 salesAll18 sales
Net sale price average$300,775$326,100$343,000$396,700$340,856
Net price per SF average$194$147$165$184$171
Living area average1,6222,2222,0952,2302,055
Year built median20182018201520182018

3.10 The numbers: selling

Under $317K4 sales$317K–$330K5 sales$332K–$350K5 salesOver $350K4 salesAll18 sales
Days on market median8229312839
Discount from original list average9.9%2.0%2.5%4.7%4.5%
Price cut before sale100%40%20%25%44%
Seller paid closing costs or repairs100%20%60%75%61%
Has a view0%0%20%25%11%

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.1.

4. Quartiles by living areaResale homes · 18 sales · November 5, 2025 – November 4, 2026

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

2026-11-05T14:47:52.033184 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 4 6 4 18 sales Sales per group Under 1,878 SF: 4 sales (22%) 1,878–1,927 SF: 4 sales (22%) 2,102–2,347 SF: 6 sales (33%) Over 2,347 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

2026-11-05T14:47:52.054308 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,878 SF 4 sales 1,878– 1,927 SF 4 sales 2,102– 2,347 SF 6 sales Over 2,347 SF 4 sales $0K $200K $400K $326K $353K $325K $367K Net sale price, average

The average is $367K for homes over 2,347 SF and $326K for homes under 1,878 SF. It does not move in a straight line; homes over 2,347 SF are highest. Defined in 8.1.1.

Not tested: too few sales.

4.4 Net price per SF: described, not tested

2026-11-05T14:47:52.078540 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,878 SF 4 sales 1,878– 1,927 SF 4 sales 2,102– 2,347 SF 6 sales Over 2,347 SF 4 sales $0 $100 $200 $215 $186 $147 $146 Net price per SF, average

The average is $146 per SF for homes over 2,347 SF and $215 per SF for homes under 1,878 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-11-05T14:47:52.102263 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,878 SF 4 sales 1,878– 1,927 SF 4 sales 2,102– 2,347 SF 6 sales Over 2,347 SF 4 sales 2016 2018 2020 2019 2016 2018 2016 Year built: median (dot) and middle half (bar)

The median is 2016 for homes over 2,347 SF and 2019 for homes under 1,878 SF. It does not move in a straight line; homes under 1,878 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-11-05T14:47:52.126637 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,878 SF 4 sales 1,878– 1,927 SF 4 sales 2,102– 2,347 SF 6 sales Over 2,347 SF 4 sales 0 25 50 75 68 39 34 20 Days on market, median

The median is 20 days for homes over 2,347 SF and 68 days for homes under 1,878 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-11-05T14:47:52.149612 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,878 SF 4 sales 1,878– 1,927 SF 4 sales 2,102– 2,347 SF 6 sales Over 2,347 SF 4 sales 0.0% 5.0% 8.2% 5.2% 5.0% -0.6% Discount from original list, average

The average is -0.6% for homes over 2,347 SF and 8.2% for homes under 1,878 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-11-05T14:47:52.175873 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 50 75 25 50 50 0 0 25 25 Under 1,878 SF 1,878–1,927 SF 2,102–2,347 SF Over 2,347 SF

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

  • 0% of homes over 2,347 SF had a price cut before sale, against 75% of homes under 1,878 SF. Defined in 8.1.7.
  • 25% of homes over 2,347 SF had the seller pay closing costs or repairs, against 100% of homes under 1,878 SF. Defined in 8.1.8.
  • 25% of homes over 2,347 SF have a view, against 0% of homes under 1,878 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 1,878 SF4 sales1,878–1,927 SF4 sales2,102–2,347 SF6 salesOver 2,347 SF4 salesAll18 sales
Net sale price average$326,425$353,125$324,783$367,125$340,856
Net price per SF average$215$186$147$146$171
Living area average1,5191,8992,2152,5092,055
Year built median20192016201820162018

4.10 The numbers: selling

Under 1,878 SF4 sales1,878–1,927 SF4 sales2,102–2,347 SF6 salesOver 2,347 SF4 salesAll18 sales
Days on market median6839342039
Discount from original list average8.2%5.2%5.0%−0.6%4.5%
Price cut before sale75%50%50%0%44%
Seller paid closing costs or repairs100%75%50%25%61%
Has a view0%25%0%25%11%

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.2.

5. Groups by year builtResale homes · 18 sales · November 5, 2025 – November 4, 2026

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

2026-11-05T14:47:52.194543 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 7 8 3 18 sales Sales per group Before 2018: 7 sales (39%) 2018: 8 sales (44%) After 2018: 3 sales (17%)
Bottom line: too few sales to test.

5.1 Key differences

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

5.3 Net sale price: described, not tested

2026-11-05T14:47:52.213487 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2018 7 sales 2018 8 sales After 2018 3 sales $0K $100K $200K $300K $400K $350K $324K $364K Net sale price, average

The average is $364K for homes built after 2018 and $350K for homes built before 2018. It does not move in a straight line; homes built after 2018 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-11-05T14:47:52.234918 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2018 7 sales 2018 8 sales After 2018 3 sales $0 $100 $200 $172 $151 $219 Net price per SF, average

The average is $219 per SF for homes built after 2018 and $172 per SF for homes built before 2018. It does not move in a straight line; homes built after 2018 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-11-05T14:47:52.254630 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2018 7 sales 2018 8 sales After 2018 3 sales 0 1,000 2,000 2,088 2,172 1,667 Living area (SF), average

The average is 1,667 SF for homes built after 2018 and 2,088 SF for homes built before 2018. It does not move in a straight line; homes built 2018 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-11-05T14:47:52.273533 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2018 7 sales 2018 8 sales After 2018 3 sales 0 20 40 60 23 37 65 Days on market, median

The median is 65 days for homes built after 2018 and 23 days for homes built before 2018. It rises step by step from the lowest range to the highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-11-05T14:47:52.295359 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2018 7 sales 2018 8 sales After 2018 3 sales 0.0% 2.5% 5.0% 7.5% 10.0% 3.0% 4.2% 8.7% Discount from original list, average

The average is 8.7% for homes built after 2018 and 3.0% for homes built before 2018. It rises step by step from the lowest range to the highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-11-05T14:47:52.318845 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% 29 71 29 50 38 0 67 100 0 Before 2018 2018 After 2018

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

  • 67% of homes built after 2018 had a price cut before sale, against 29% of homes built before 2018. Defined in 8.1.7.
  • 100% of homes built after 2018 had the seller pay closing costs or repairs, against 71% of homes built before 2018. Defined in 8.1.8.
  • 0% of homes built after 2018 have a view, against 29% of homes built before 2018. 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 20187 sales20188 salesAfter 20183 salesAll18 sales
Net sale price average$349,643$324,450$364,100$340,856
Net price per SF average$172$151$219$171
Living area average2,0882,1721,6672,055
Year built median2015201820202018

5.10 The numbers: selling

Before 20187 sales20188 salesAfter 20183 salesAll18 sales
Days on market median23376539
Discount from original list average3.0%4.2%8.7%4.5%
Price cut before sale29%50%67%44%
Seller paid closing costs or repairs71%38%100%61%
Has a view29%0%0%11%

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

6. View and no viewResale homes · 18 sales · November 5, 2025 – November 4, 2026

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

2026-11-05T14:47:52.335955 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 2 16 18 sales Sales per group View: 2 sales (11%) No view: 16 sales (89%)
Bottom line: too few sales to test.

6.1 Key differences

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

6.3 Net sale price: described, not tested

2026-11-05T14:47:52.353523 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 16 sales $0K $100K $200K $300K $400K $359K $339K Net sale price, average

The average is $359K for homes with a view and $339K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-11-05T14:47:52.372353 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 16 sales $0 $50 $100 $150 $200 $169 $171 Net price per SF, average

The average is $169 per SF for homes with a view and $171 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-11-05T14:47:52.390468 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 16 sales 0 1,000 2,000 2,139 2,045 Living area (SF), average

The average is 2,139 SF for homes with a view and 2,045 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-11-05T14:47:52.435298 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 16 sales 2015 2016 2017 2018 2016 2018 Year built: median (dot) and middle half (bar)

The median is 2016 for homes with a view and 2018 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-11-05T14:47:52.453683 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 16 sales 0 20 40 20 43 Days on market, median

The median is 20 days for homes with a view and 43 days for homes without a view. Defined in 8.1.5.

Not tested: too few sales.

6.8 Discount from original list: described, not tested

2026-11-05T14:47:52.471467 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 16 sales 0.0% 2.0% 4.0% 1.7% 4.8% Discount from original list, average

The average is 1.7% for homes with a view and 4.8% for homes without a view. Defined in 8.1.6.

Not tested: too few sales.

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

2026-11-05T14:47:52.490443 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 0 100 50 56 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 50% 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 56% of homes without a view. Defined in 8.1.8.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.

6.10 The numbers: price and size

View2 salesNo view16 salesAll18 sales
Net sale price average$358,750$338,619$340,856
Net price per SF average$169$171$171
Living area average2,1392,0452,055
Year built median201620182018

6.11 The numbers: selling

View2 salesNo view16 salesAll18 sales
Days on market median204339
Discount from original list average1.7%4.8%4.5%
Price cut before sale0%50%44%
Seller paid closing costs or repairs100%56%61%

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

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

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

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

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 $340,856; median $330,750; standard deviation $35,665; middle half (25th–75th percentile) $319,000–$348,750; lowest $294,000, highest $416,000. 11 sales had a seller payment; their median payment was $6,500.

8.1.2 Net price per SF

In simple terms
Net sale price divided by the heated and cooled square feet. It puts homes of different sizes on the same footing: did buyers pay more for each square foot, not just for more square feet?
Statistically
psf = Net ÷ LivingArea, per sale; summarized by the mean of the per-sale ratios.
The data
18 resale sales. Average $171; median $157; standard deviation $31; middle half (25th–75th percentile) $146–$191; lowest $136, highest $228.

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 2,055; median 2,102; standard deviation 393; middle half (25th–75th percentile) 1,879–2,322; lowest 1,290, highest 2,859.

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 2017; median 2018; standard deviation 2; middle half (25th–75th percentile) 2015–2018; lowest 2015, highest 2021.

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 50; median 39; standard deviation 40; middle half (25th–75th percentile) 24–69; lowest 4, highest 143. 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 4.5%; median 4.1%; standard deviation 5.0%; middle half (25th–75th percentile) 0.0%–8.5%; lowest −1.5%, highest 16.5%. 3 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
8 of 18 resale sales (44.4%).

8.1.8 Seller paid closing costs or repairs

In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
11 of 18 resale sales (61.1%).

8.1.9 Has a view

In simple terms
The MLS says the home looks over something: a greenbelt or park, trees, golf course, hill country, water and similar.
Statistically
View = the View field holds any entry other than “None”, “Neighborhood” or “See Remarks”. No view = only “None” and/or “Neighborhood”. A record whose only entry is “See Remarks” cannot be classified and is left out of the view slice.
The data
2 sales with a view, 16 without, 0 unclassified. Most common View entries: None 9, Neighborhood 8, Trees/Woods 1, 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
ABOR MLS via secure APIs, read from ALEX's copy of the MLS (refreshed every 15 minutes; this pull as of 2026-11-05 20:30 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Austin, SubdivisionName contains any of “addison” (case-insensitive). A record is kept when its subdivision name belongs to the Addison family, the same rule comparable sales use.
The data
Pulled November 5, 2026: 18 closed Addison records over the prior year, in ZIP 78744. 4 subdivision spellings kept: Addison Sec 3 (8); Addison (5); Addison Sec 1 Sub (3); Addison Sec 2 Sub (2). 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 12 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from November 5, 2025 to November 4, 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 $317K”.
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 $317K: $294,000–$310,400 (4 sales); $317K–$330K: $317,000–$330,000 (5 sales); $332K–$350K: $331,500–$350,000 (5 sales); Over $350K: $372,500–$416,000 (4 sales)
Quartiles by living area: Under 1,878 SF: 1,290–1,834 SF (4 sales); 1,878–1,927 SF: 1,878–1,927 SF (4 sales); 2,102–2,347 SF: 2,102–2,347 SF (6 sales); Over 2,347 SF: 2,351–2,859 SF (4 sales)
Groups by year built: Before 2018: 2015–2016 (7 sales); 2018: 2018–2018 (8 sales); After 2018: 2020–2021 (3 sales)
View and no view: View: MLS lists a view (2 sales); No view: None or Neighborhood (16 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 $340,856, median $330,750. Days on market: average 50, median 39: the average is pulled up by a few long listings.

8.2.7 Kruskal–Wallis test

In simple terms
Checks whether a measure really differs across the four groups of a slice. It uses each sale's rank, not its value, so a few extreme sales cannot drive the answer.
Statistically
H = [12/(n(n+1))] Σ Rⱼ²/nⱼ − 3(n+1), compared with χ² on k − 1 degrees of freedom (Kruskal & Wallis, 1952). Effect size ε² = H/(n − 1): ≥ .01 small, ≥ .06 medium, ≥ .14 large (Tomczak & Tomczak, 2014). A slice is tested only when every group has at least 5 sales; smaller groups are described, not tested.
The data
Run on every measure in sections 3–5; each result is in 8.3.

8.2.8 Mann–Whitney U test

In simple terms
The same check when there are only two groups: view against no view.
Statistically
Two-sided U test (Mann & Whitney, 1947). Effect size = rank-biserial correlation |1 − 2U/(n₁n₂)|: ≥ .10 small, ≥ .30 medium, ≥ .50 large (Kerby, 2014; Cohen, 1988).
The data
Run on every measure in section 6; results in 8.3.

8.2.9 Chi-square test

In simple terms
Checks whether a yes/no share (price cut, seller payment, view) differs between groups more than chance would.
Statistically
Pearson χ² on the 2 × k table of counts, no continuity correction (Pearson, 1900). Effect size Cramér's V = √(χ²/n): ≥ .10 small, ≥ .30 medium, ≥ .50 large (Cramér, 1946).
The data
Run on the three shares in every slice; results in 8.3.

8.2.10 Real difference (significance)

In simple terms
“Real difference” means a gap this large would be very unlikely if the groups were really alike. Because many measures are checked in each slice, the bar is set higher than usual.
Statistically
Significant when p < 0.05 ÷ m, where m is the number of measures tested in that slice (Bonferroni; Dunn, 1961). The slicing variable itself differs by design and is not tested.
The data

8.2.11 Size of a difference

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

8.2.12 Rounding in the text

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

8.3 Test results

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

8.3.1 Quartiles by net sale price

Too few sales in a group to test.

8.3.2 Quartiles by living area

Too few sales in a group to test.

8.3.3 Groups by year built

Too few sales in a group to test.

8.3.4 View and no view

Too few sales in a group to test.

8.4 Data notes

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

8.5 References

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

This is a market study of closed sales, not an appraisal or an opinion of value for any home. The analysis covers 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 November 5, 2026. Map data © OpenStreetMap contributors. ALEX Companies · Licensed by the Texas Real Estate Commission · Broker: Alexander Tiffany Southwest, LLC (ALEX Real Estate), #565194-BB · Diane Hart Alexander, Designated Broker, #574877-B.