ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Allandale

Austin, TX 78757 · 78756
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 · 4:28 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
$780,000
average $973,333
Median net price per SF
$471
average $478
Median days on market
44 days
average 101 days
1. SummaryResale homes · 14 sales · October 26, 2025 – October 25, 2026

This study looks at the 14 resale homes sold in Allandale in the 365 days to October 25, 2026. A full year is used because only 5 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 $700K · 4 sales$700K–$760K · 3 sales$800K–$924K · 3 salesOver $924K · 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.

2026-10-26T04:28:45.049356 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 3 3 4 14 sales Sales per group Under $700K: 4 sales (29%) $700K–$760K: 3 sales (21%) $800K–$924K: 3 sales (21%) Over $924K: 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

2026-10-26T04:28:45.077602 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $700K 4 sales $700K– $760K 3 sales $800K– $924K 3 sales Over $924K 4 sales $0 $200 $400 $600 $385 $489 $502 $544 Net price per SF, average

The average is $544 per SF for homes over $924K and $385 per SF for homes under $700K. 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

2026-10-26T04:28:45.100255 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $700K 4 sales $700K– $760K 3 sales $800K– $924K 3 sales Over $924K 4 sales 0 1,000 2,000 3,000 1,542 1,499 1,711 2,984 Living area (SF), average

The average is 2,984 SF for homes over $924K and 1,542 SF for homes under $700K. It does not move in a straight line; homes over $924K are highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-10-26T04:28:45.125662 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $700K 4 sales $700K– $760K 3 sales $800K– $924K 3 sales Over $924K 4 sales 1950 1965 1980 1995 2010 1954 1953 1950 1985 Year built: median (dot) and middle half (bar)

The median is 1985 for homes over $924K and 1954 for homes under $700K. It does not move in a straight line; homes over $924K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-10-26T04:28:45.149008 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $700K 4 sales $700K– $760K 3 sales $800K– $924K 3 sales Over $924K 4 sales 0 50 100 150 160 128 4 20 Days on market, median

The median is 20 days for homes over $924K and 160 days for homes under $700K. It does not move in a straight line; homes under $700K are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-10-26T04:28:45.170937 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $700K 4 sales $700K– $760K 3 sales $800K– $924K 3 sales Over $924K 4 sales 0.0% 5.0% 10.0% 15.0% 9.0% 12.9% 1.1% 4.0% Discount from original list, average

The average is 4.0% for homes over $924K and 9.0% for homes under $700K. It does not move in a straight line; homes $700K–$760K 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

2026-10-26T04:28:45.200865 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 25 0 67 33 0 33 0 33 0 25 0 Under $700K $700K–$760K $800K–$924K Over $924K

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

  • 0% of homes over $924K had a price cut before sale, against 50% of homes under $700K. Defined in 8.1.7.
  • 25% of homes over $924K had the seller pay closing costs or repairs, against 25% of homes under $700K. Defined in 8.1.8.
  • 0% of homes over $924K have a view, against 0% of homes under $700K. 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 $700K4 sales$700K–$760K3 sales$800K–$924K3 salesOver $924K4 salesAll14 sales
Net sale price average$574,010$725,000$846,478$1,654,048$973,333
Net price per SF average$385$489$502$544$478
Living area average1,5421,4991,7112,9841,981
Year built median19541953195019851953

3.10 The numbers: selling

Under $700K4 sales$700K–$760K3 sales$800K–$924K3 salesOver $924K4 salesAll14 sales
Days on market median16012842044
Discount from original list average9.0%12.9%1.1%4.0%6.7%
Price cut before sale50%67%33%0%36%
Seller paid closing costs or repairs25%33%0%25%21%
Has a view0%0%33%0%7%

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.

2026-10-26T04:28:45.221293 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 3 3 4 14 sales Sales per group Under 1,579 SF: 4 sales (29%) 1,579–1,699 SF: 3 sales (21%) 1,759–1,977 SF: 3 sales (21%) Over 1,977 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

2026-10-26T04:28:45.241673 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,579 SF 4 sales 1,579– 1,699 SF 3 sales 1,759– 1,977 SF 3 sales Over 1,977 SF 4 sales $0K $500K $1.00M $1.50M $678K $637K $805K $1.65M Net sale price, average

The average is $1.65M for homes over 1,977 SF and $678K for homes under 1,579 SF. It does not move in a straight line; homes over 1,977 SF are highest. Defined in 8.1.1.

Not tested: too few sales.

4.4 Net price per SF: described, not tested

2026-10-26T04:28:45.264598 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,579 SF 4 sales 1,579– 1,699 SF 3 sales 1,759– 1,977 SF 3 sales Over 1,977 SF 4 sales $0 $200 $400 $600 $523 $387 $431 $535 Net price per SF, average

The average is $535 per SF for homes over 1,977 SF and $523 per SF for homes under 1,579 SF. It does not move in a straight line; homes over 1,977 SF are highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-10-26T04:28:45.289539 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,579 SF 4 sales 1,579– 1,699 SF 3 sales 1,759– 1,977 SF 3 sales Over 1,977 SF 4 sales 1950 1965 1980 1995 2010 1953 1954 1951 1985 Year built: median (dot) and middle half (bar)

The median is 1985 for homes over 1,977 SF and 1953 for homes under 1,579 SF. It does not move in a straight line; homes over 1,977 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-10-26T04:28:45.313291 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,579 SF 4 sales 1,579– 1,699 SF 3 sales 1,759– 1,977 SF 3 sales Over 1,977 SF 4 sales 0 50 100 150 68 128 5 28 Days on market, median

The median is 28 days for homes over 1,977 SF and 68 days for homes under 1,579 SF. It does not move in a straight line; homes 1,579–1,699 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-10-26T04:28:45.335815 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,579 SF 4 sales 1,579– 1,699 SF 3 sales 1,759– 1,977 SF 3 sales Over 1,977 SF 4 sales 0.0% 5.0% 10.0% 15.0% 4.9% 14.3% 0.4% 7.7% Discount from original list, average

The average is 7.7% for homes over 1,977 SF and 4.9% for homes under 1,579 SF. It does not move in a straight line; homes 1,579–1,699 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

2026-10-26T04:28:45.361813 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 0 0 67 67 0 0 0 33 25 25 0 Under 1,579 SF 1,579–1,699 SF 1,759–1,977 SF Over 1,977 SF

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

  • 25% of homes over 1,977 SF had a price cut before sale, against 50% of homes under 1,579 SF. Defined in 8.1.7.
  • 25% of homes over 1,977 SF had the seller pay closing costs or repairs, against 0% of homes under 1,579 SF. Defined in 8.1.8.
  • 0% of homes over 1,977 SF have a view, against 0% of homes under 1,579 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 1,579 SF4 sales1,579–1,699 SF3 sales1,759–1,977 SF3 salesOver 1,977 SF4 salesAll14 sales
Net sale price average$677,500$637,013$805,000$1,647,656$973,333
Net price per SF average$523$387$431$535$478
Living area average1,2851,6431,8793,0071,981
Year built median19531954195119851953

4.10 The numbers: selling

Under 1,579 SF4 sales1,579–1,699 SF3 sales1,759–1,977 SF3 salesOver 1,977 SF4 salesAll14 sales
Days on market median6812852844
Discount from original list average4.9%14.3%0.4%7.7%6.7%
Price cut before sale50%67%0%25%36%
Seller paid closing costs or repairs0%67%0%25%21%
Has a view0%0%33%0%7%

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 3 groups are shown: homes here share a few year built values, and no group may hold fewer than 3 sales.

2026-10-26T04:28:45.381364 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 4 4 14 sales Sales per group Before 1953: 6 sales (43%) 1953–1954: 4 sales (29%) After 1954: 4 sales (29%)
Bottom line: too few sales to test.

5.1 Key differences

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

5.3 Net sale price: described, not tested

2026-10-26T04:28:45.399397 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1953 6 sales 1953– 1954 4 sales After 1954 4 sales $0K $500K $1.00M $1.50M $809K $634K $1.56M Net sale price, average

The average is $1.56M for homes built after 1954 and $809K for homes built before 1953. It does not move in a straight line; homes built after 1954 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T04:28:45.420103 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1953 6 sales 1953– 1954 4 sales After 1954 4 sales $0 $200 $400 $600 $459 $478 $505 Net price per SF, average

The average is $505 per SF for homes built after 1954 and $459 per SF for homes built before 1953. It rises step by step from the lowest range to the highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T04:28:45.439757 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1953 6 sales 1953– 1954 4 sales After 1954 4 sales 0 1,000 2,000 3,000 1,785 1,335 2,922 Living area (SF), average

The average is 2,922 SF for homes built after 1954 and 1,785 SF for homes built before 1953. It does not move in a straight line; homes built after 1954 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T04:28:45.459362 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1953 6 sales 1953– 1954 4 sales After 1954 4 sales 0 50 100 30 118 28 Days on market, median

The median is 28 days for homes built after 1954 and 30 days for homes built before 1953. It does not move in a straight line; homes built 1953–1954 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T04:28:45.480007 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1953 6 sales 1953– 1954 4 sales After 1954 4 sales 0.0% 5.0% 10.0% 4.5% 7.5% 9.3% Discount from original list, average

The average is 9.3% for homes built after 1954 and 4.5% for homes built before 1953. 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

2026-10-26T04:28:45.502476 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 17 17 50 25 0 25 25 0 Before 1953 1953–1954 After 1954

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

  • 25% of homes built after 1954 had a price cut before sale, against 33% of homes built before 1953. Defined in 8.1.7.
  • 25% of homes built after 1954 had the seller pay closing costs or repairs, against 17% of homes built before 1953. Defined in 8.1.8.
  • 0% of homes built after 1954 have a view, against 17% of homes built before 1953. 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 19536 sales1953–19544 salesAfter 19544 salesAll14 sales
Net sale price average$809,072$634,010$1,559,048$973,333
Net price per SF average$459$478$505$478
Living area average1,7851,3352,9221,981
Year built median1950195419901953

5.10 The numbers: selling

Before 19536 sales1953–19544 salesAfter 19544 salesAll14 sales
Days on market median301182844
Discount from original list average4.5%7.5%9.3%6.7%
Price cut before sale33%50%25%36%
Seller paid closing costs or repairs17%25%25%21%
Has a view17%0%0%7%

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.

2026-10-26T04:28:45.520074 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 1 13 14 sales Sales per group View: 1 sales (7%) No view: 13 sales (93%)
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

2026-10-26T04:28:45.538089 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 13 sales $0K $250K $500K $750K $1.00M $815K $986K Net sale price, average

The average is $815K for homes with a view and $986K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-26T04:28:45.556317 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 13 sales $0 $200 $400 $463 $479 Net price per SF, average

The average is $463 per SF for homes with a view and $479 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-26T04:28:45.574116 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 13 sales 0 500 1,000 1,500 2,000 1,759 1,998 Living area (SF), average

The average is 1,759 SF for homes with a view and 1,998 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-26T04:28:45.620202 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 13 sales 1950 1952 1954 1956 1950 1953 Year built: median (dot) and middle half (bar)

The median is 1950 for homes with a view and 1953 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-10-26T04:28:45.637912 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 13 sales 0 20 40 60 4 55 Days on market, median

The median is 4 days for homes with a view and 55 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

2026-10-26T04:28:45.655988 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 13 sales 0.0% 2.5% 5.0% 7.5% -1.9% 7.4% Discount from original list, average

The average is -1.9% for homes with a view and 7.4% 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

2026-10-26T04:28:45.675042 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 0 0 38 23 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 38% 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 23% 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 view13 salesAll14 sales
Net sale price average$815,000$985,513$973,333
Net price per SF average$463$479$478
Living area average1,7591,9981,981
Year built median195019531953

6.11 The numbers: selling

View1 salesNo view13 salesAll14 sales
Days on market median45544
Discount from original list average−1.9%7.4%6.7%
Price cut before sale0%38%36%
Seller paid closing costs or repairs0%23%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 8.3.4.

7. New constructionBasic statistics · 1 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: 1 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 Allandale.
MeasureAverageMedian
Sales1
Net sale price$2,725,000$2,725,000
Net price per SF$644$644
Living area (SF)4,2344,234
Days on market169169
Discount from original list7.6%7.6%
Price cut before sale100% of sales
Seller paid closing costs or repairs0% of sales
Year built2025–2025

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 $973,333; median $780,000; standard deviation $568,152; middle half (25th–75th percentile) $662,500–$943,608; lowest $450,000, highest $2,530,000. 3 sales had a seller payment; their median payment was $13,808.

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 $478; median $471; standard deviation $86; middle half (25th–75th percentile) $431–$531; lowest $329, highest $617.

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 1,981; median 1,729; standard deviation 857; middle half (25th–75th percentile) 1,518–1,989; lowest 962, highest 4,320.

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 1963; median 1953; standard deviation 24; middle half (25th–75th percentile) 1951–1956; lowest 1950, 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
14 resale sales. Average 101; median 44; standard deviation 160; middle half (25th–75th percentile) 8–122; lowest 1, highest 609. 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 6.7%; median 5.5%; standard deviation 8.6%; middle half (25th–75th percentile) −0.4%–11.0%; lowest −6.7%, highest 20.6%. 4 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
5 of 14 resale sales (35.7%).

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
3 of 14 resale sales (21.4%).

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, 13 without, 0 unclassified. Most common View entries: None 11, Neighborhood 3, City Lights 1, Trees/Woods 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 “allandale” (case-insensitive). A record is kept when its subdivision name belongs to the Allandale family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 16 closed Allandale records over the prior year, in ZIP 78757, 78756. 8 subdivision spellings kept: Allandale (4); Allandale Sec 01 (3); Allandale Sec 03 (3); Allandale Sec 02 (2); Allandale Sec 04 (1); The Allandale Condos (1); ALLANDALE SEC 1 (1); ALLANDALE (1). Names found by the search but not part of Allandale, left out: Allandale Park Sec 06 (9); Allandale Oaks (7); Allandale Park Sec 05 (6); Allandale Estates Sec 01 (6); Allandale West Sec 02 (5); Allandale Terrace Sec 02 Ph 04 (5); Allandale Park Sec 01 (5); Allandale Park Sec 04 (5); Allandale Terrace Sec 03 (5); Allandale The (4); Allandale Terrace (3); Allandale Terrace Sec 02 (3); Allandale Park Sec 02 (3); Allandale West Sec 05 (3); Allandale North Sec 02 (3); Allandale North Sec 03 (3); Allandale Estates Sec 04 (2); Allandale West Sec 04 (2); Allandale North Sec 01 (2); Allandale Park Sec 09 (2); Allandale West Sec 01 (1); Allandale Park Sec 08 (1); Allandale Terrace Sec 02 Ph 02 (1); ALLANDALE ESTATES SEC 1 (1); Allandale North Sec 04 (1); Allandale North/North Shoal Creek (1); Allandale Park Sec 03 (1); Allandale Place Sec 01 (1); Allandale Park Sec 9 (1); Allandale West Sec 06 (1); Allandale - Shoalmont Add Resub (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 5 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
15 single-family sales in the window: 14 resale, 1 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; 1 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) other than single-family homes (condo, townhome and similar)

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 $700K”.
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 $700K: $450,000–$650,000 (4 sales); $700K–$760K: $700,000–$760,000 (3 sales); $800K–$924K: $800,000–$924,433 (3 sales); Over $924K: $950,000–$2,530,000 (4 sales)
Quartiles by living area: Under 1,579 SF: 962–1,498 SF (4 sales); 1,579–1,699 SF: 1,579–1,699 SF (3 sales); 1,759–1,977 SF: 1,759–1,977 SF (3 sales); Over 1,977 SF: 1,993–4,320 SF (4 sales)
Groups by year built: Before 1953: 1950–1952 (6 sales); 1953–1954: 1953–1954 (4 sales); After 1954: 1956–2021 (4 sales)
View and no view: View: MLS lists a view (1 sales); No view: None or Neighborhood (13 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 $973,333, median $780,000. Days on market: average 101, median 44: 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: 1 new-construction sales (basic statistics only, section 7); 1 sale(s) other than single-family homes (condo, townhome and similar). 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 1 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.