ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Lakewood

Austin, TX 78750
Resale homes · closed Nov 9 – Nov 8, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
November 9, 2026 · 6:09 AM 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
$606,500
average $605,731
Median net price per SF
$343
average $326
Median days on market
8 days
average 32 days
1. SummaryResale homes · 18 sales · November 9, 2025 – November 8, 2026

This study looks at the 18 resale homes sold in Lakewood in the 365 days to November 8, 2026. A full year is used because only 13 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 $510K · 4 sales$510K–$590K · 5 sales$623K–$694K · 5 salesOver $694K · 4 sales
3. Quartiles by net sale priceResale homes · 18 sales · November 9, 2025 – November 8, 2026

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

2026-11-09T06:10:04.137577 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 5 5 4 18 sales Sales per group Under $510K: 4 sales (22%) $510K–$590K: 5 sales (28%) $623K–$694K: 5 sales (28%) Over $694K: 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

2026-11-09T06:10:04.170233 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $510K 4 sales $510K– $590K 5 sales $623K– $694K 5 sales Over $694K 4 sales $0 $200 $400 $269 $339 $341 $345 Net price per SF, average

The average is $345 per SF for homes over $694K and $269 per SF for homes under $510K. 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

2026-11-09T06:10:04.197591 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $510K 4 sales $510K– $590K 5 sales $623K– $694K 5 sales Over $694K 4 sales 0 1,000 2,000 1,803 1,633 1,934 2,258 Living area (SF), average

The average is 2,258 SF for homes over $694K and 1,803 SF for homes under $510K. It does not move in a straight line; homes over $694K are highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-11-09T06:10:04.224390 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $510K 4 sales $510K– $590K 5 sales $623K– $694K 5 sales Over $694K 4 sales 1980 1982 1984 1982 1981 1983 1982 Year built: median (dot) and middle half (bar)

The median is 1982 for homes over $694K and 1982 for homes under $510K. It does not move in a straight line; homes $623K–$694K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-11-09T06:10:04.250930 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $510K 4 sales $510K– $590K 5 sales $623K– $694K 5 sales Over $694K 4 sales 0 20 40 10 7 9 40 Days on market, median

The median is 40 days for homes over $694K and 10 days for homes under $510K. It does not move in a straight line; homes over $694K are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-11-09T06:10:04.276347 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $510K 4 sales $510K– $590K 5 sales $623K– $694K 5 sales Over $694K 4 sales 0.0% 2.0% 4.0% 6.0% 6.4% 4.8% 3.5% 5.4% Discount from original list, average

The average is 5.4% for homes over $694K and 6.4% for homes under $510K. It does not move in a straight line; homes under $510K 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

2026-11-09T06:10:04.310141 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% 0% 50% 50% 20% 60% 80% 40% 100% 60% 50% 75% 100% Under $510K $510K–$590K $623K–$694K Over $694K

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

  • 50% of homes over $694K had a price cut before sale, against 0% of homes under $510K. Defined in 8.1.7.
  • 75% of homes over $694K had the seller pay closing costs or repairs, against 50% of homes under $510K. Defined in 8.1.8.
  • 100% of homes over $694K have a view, against 50% of homes under $510K. 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 $510K4 sales$510K–$590K5 sales$623K–$694K5 salesOver $694K4 salesAll18 sales
Net sale price average$442,838$551,584$657,200$771,973$605,731
Net price per SF average$269$339$341$345$326
Living area average1,8031,6331,9342,2581,893
Year built median19821981198319821983

3.10 The numbers: selling

Under $510K4 sales$510K–$590K5 sales$623K–$694K5 salesOver $694K4 salesAll18 sales
Days on market median1079408
Discount from original list average6.4%4.8%3.5%5.4%4.9%
Price cut before sale0%20%40%50%28%
Seller paid closing costs or repairs50%60%100%75%72%
Has a view50%80%60%100%72%

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 9, 2025 – November 8, 2026

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

2026-11-09T06:10:04.334407 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 5 5 4 18 sales Sales per group Under 1,644 SF: 4 sales (22%) 1,644–1,876 SF: 5 sales (28%) 2,004–2,095 SF: 5 sales (28%) Over 2,095 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

2026-11-09T06:10:04.358138 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,644 SF 4 sales 1,644– 1,876 SF 5 sales 2,004– 2,095 SF 5 sales Over 2,095 SF 4 sales $0K $250K $500K $750K $512K $590K $677K $630K Net sale price, average

The average is $630K for homes over 2,095 SF and $512K for homes under 1,644 SF. It does not move in a straight line; homes 2,004–2,095 SF are highest. Defined in 8.1.1.

Not tested: too few sales.

4.4 Net price per SF: described, not tested

2026-11-09T06:10:04.385076 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,644 SF 4 sales 1,644– 1,876 SF 5 sales 2,004– 2,095 SF 5 sales Over 2,095 SF 4 sales $0 $200 $400 $359 $340 $328 $271 Net price per SF, average

The average is $271 per SF for homes over 2,095 SF and $359 per SF for homes under 1,644 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

2026-11-09T06:10:04.411989 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,644 SF 4 sales 1,644– 1,876 SF 5 sales 2,004– 2,095 SF 5 sales Over 2,095 SF 4 sales 1980 1982 1984 1986 1982 1981 1982 1984 Year built: median (dot) and middle half (bar)

The median is 1984 for homes over 2,095 SF and 1982 for homes under 1,644 SF. It does not move in a straight line; homes over 2,095 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-11-09T06:10:04.439892 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,644 SF 4 sales 1,644– 1,876 SF 5 sales 2,004– 2,095 SF 5 sales Over 2,095 SF 4 sales 0 50 100 10 7 6 92 Days on market, median

The median is 92 days for homes over 2,095 SF and 10 days for homes under 1,644 SF. It does not move in a straight line; homes over 2,095 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-11-09T06:10:04.466398 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,644 SF 4 sales 1,644– 1,876 SF 5 sales 2,004– 2,095 SF 5 sales Over 2,095 SF 4 sales 0.0% 5.0% 10.0% 5.4% 0.9% 4.2% 10.6% Discount from original list, average

The average is 10.6% for homes over 2,095 SF and 5.4% for homes under 1,644 SF. It does not move in a straight line; homes over 2,095 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

2026-11-09T06:10:04.495047 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 25% 75% 75% 0% 80% 80% 40% 60% 40% 50% 75% 100% Under 1,644 SF 1,644–1,876 SF 2,004–2,095 SF Over 2,095 SF

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

  • 50% of homes over 2,095 SF had a price cut before sale, against 25% of homes under 1,644 SF. Defined in 8.1.7.
  • 75% of homes over 2,095 SF had the seller pay closing costs or repairs, against 75% of homes under 1,644 SF. Defined in 8.1.8.
  • 100% of homes over 2,095 SF have a view, against 75% of homes under 1,644 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 1,644 SF4 sales1,644–1,876 SF5 sales2,004–2,095 SF5 salesOver 2,095 SF4 salesAll18 sales
Net sale price average$511,943$590,400$676,800$629,848$605,731
Net price per SF average$359$340$328$271$326
Living area average1,4251,7362,0642,3451,893
Year built median19821981198219841983

4.10 The numbers: selling

Under 1,644 SF4 sales1,644–1,876 SF5 sales2,004–2,095 SF5 salesOver 2,095 SF4 salesAll18 sales
Days on market median1076928
Discount from original list average5.4%0.9%4.2%10.6%4.9%
Price cut before sale25%0%40%50%28%
Seller paid closing costs or repairs75%80%60%75%72%
Has a view75%80%40%100%72%

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

5. Quartiles by year builtResale homes · 18 sales · November 9, 2025 – November 8, 2026

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

2026-11-09T06:10:04.520496 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 5 6 4 18 sales Sales per group Before 1981: 3 sales (17%) 1981–1982: 5 sales (28%) 1983: 6 sales (33%) After 1983: 4 sales (22%)
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

2026-11-09T06:10:04.541415 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1981 3 sales 1981– 1982 5 sales 1983 6 sales After 1983 4 sales $0K $200K $400K $600K $524K $641K $610K $616K Net sale price, average

The average is $616K for homes built after 1983 and $524K for homes built before 1981. It does not move in a straight line; homes built 1981–1982 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-11-09T06:10:04.564850 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1981 3 sales 1981– 1982 5 sales 1983 6 sales After 1983 4 sales $0 $200 $400 $336 $340 $339 $280 Net price per SF, average

The average is $280 per SF for homes built after 1983 and $336 per SF for homes built before 1981. It does not move in a straight line; homes built 1981–1982 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-11-09T06:10:04.587171 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1981 3 sales 1981– 1982 5 sales 1983 6 sales After 1983 4 sales 0 1,000 2,000 1,565 1,898 1,814 2,254 Living area (SF), average

The average is 2,254 SF for homes built after 1983 and 1,565 SF for homes built before 1981. It does not move in a straight line; homes built after 1983 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-11-09T06:10:04.609258 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1981 3 sales 1981– 1982 5 sales 1983 6 sales After 1983 4 sales 0 50 100 7 3 10 92 Days on market, median

The median is 92 days for homes built after 1983 and 7 days for homes built before 1981. It does not move in a straight line; homes built after 1983 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-11-09T06:10:04.632542 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1981 3 sales 1981– 1982 5 sales 1983 6 sales After 1983 4 sales 0.0% 5.0% 10.0% 2.5% 2.3% 5.4% 9.4% Discount from original list, average

The average is 9.4% for homes built after 1983 and 2.5% for homes built before 1981. It does not move in a straight line; homes built after 1983 are highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-11-09T06:10:04.657656 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% 0% 100% 33% 20% 60% 80% 33% 67% 67% 50% 75% 100% Before 1981 1981–1982 1983 After 1983

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

  • 50% of homes built after 1983 had a price cut before sale, against 0% of homes built before 1981. Defined in 8.1.7.
  • 75% of homes built after 1983 had the seller pay closing costs or repairs, against 100% of homes built before 1981. Defined in 8.1.8.
  • 100% of homes built after 1983 have a view, against 33% of homes built before 1981. 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 19813 sales1981–19825 sales19836 salesAfter 19834 salesAll18 sales
Net sale price average$524,433$641,084$610,324$615,625$605,731
Net price per SF average$336$340$339$280$326
Living area average1,5651,8981,8142,2541,893
Year built median19791981198319841983

5.10 The numbers: selling

Before 19813 sales1981–19825 sales19836 salesAfter 19834 salesAll18 sales
Days on market median7310928
Discount from original list average2.5%2.3%5.4%9.4%4.9%
Price cut before sale0%20%33%50%28%
Seller paid closing costs or repairs100%60%67%75%72%
Has a view33%80%67%100%72%

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 9, 2025 – November 8, 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.

2026-11-09T06:10:04.676679 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 13 5 18 sales Sales per group View: 13 sales (72%) No view: 5 sales (28%)
Bottom line: no measure differs enough between the groups to rule out chance.

6.1 Key differences

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

6.2 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.

ViewNo viewReal difference?
Net sale price$617K$576Kunclear
Net price per SF$329 per SF$317 per SFunclear
Living area1,915 SF1,837 SFunclear
Year built19831982unclear
Days on market9 days7 daysunclear
Discount from original list5.6%3.3%unclear
Price cut before sale31%20%unclear
Seller paid closing costs or repairs69%80%unclear

6.3 Net sale price: no clear difference

2026-11-09T06:10:04.693168 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 5 sales $0K $200K $400K $600K $617K $576K Net sale price, average

The average is $617K for homes with a view and $576K for homes without a view. Defined in 8.1.1.

– No clear difference · could be chance

6.4 Net price per SF: no clear difference

2026-11-09T06:10:04.711194 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 5 sales $0 $100 $200 $300 $329 $317 Net price per SF, average

The average is $329 per SF for homes with a view and $317 per SF for homes without a view. Defined in 8.1.2.

– No clear difference · could be chance

6.5 Living area: no clear difference

2026-11-09T06:10:04.729852 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 5 sales 0 500 1,000 1,500 2,000 1,915 1,837 Living area (SF), average

The average is 1,915 SF for homes with a view and 1,837 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-11-09T06:10:04.776826 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 5 sales 1980 1981 1982 1983 1984 1983 1982 Year built: median (dot) and middle half (bar)

The median is 1983 for homes with a view and 1982 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-11-09T06:10:04.797483 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 5 sales 0 2 5 8 10 9 7 Days on market, median

The median is 9 days for homes with a view and 7 days for homes without a view. Defined in 8.1.5.

– No clear difference · could be chance

6.8 Discount from original list: no clear difference

2026-11-09T06:10:04.817873 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 5 sales 0.0% 2.0% 4.0% 6.0% 5.6% 3.3% Discount from original list, average

The average is 5.6% for homes with a view and 3.3% for homes without a view. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-11-09T06:10:04.837425 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 31% 69% 20% 80% View No view

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

  • 31% of homes with a view had a price cut before sale, against 20% of homes without a view. Defined in 8.1.7.
  • 69% of homes with a view had the seller pay closing costs or repairs, against 80% of homes without a view. Defined in 8.1.8.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance

6.10 The numbers: price and size

View13 salesNo view5 salesAll18 salesReal difference?
Net sale price average$617,259$575,760$605,731unclear
Net price per SF average$329$317$326unclear
Living area average1,9151,8371,893unclear
Year built median198319821983unclear

6.11 The numbers: selling

View13 salesNo view5 salesAll18 salesReal difference?
Days on market median978unclear
Discount from original list average5.6%3.3%4.9%unclear
Price cut before sale31%20%28%unclear
Seller paid closing costs or repairs69%80%72%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 8.3.4.

7. New constructionBasic statistics · 0 sales · November 9, 2025 – November 8, 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 Lakewood.

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 $605,731; median $606,500; standard deviation $128,646; middle half (25th–75th percentile) $515,625–$690,500; lowest $320,000, highest $820,000. 13 sales had a seller payment; their median payment was $8,500.

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 $326; median $343; standard deviation $60; middle half (25th–75th percentile) $315–$364; lowest $134, highest $378.

8.1.3 Living area

In simple terms
The heated and cooled space, as listed in the MLS. Garages and porches are not counted.
Statistically
RESO LivingArea, in square feet. Sales under 400 SF are treated as entry errors and left out.
The data
18 resale sales. Average 1,893; median 1,940; standard deviation 366; middle half (25th–75th percentile) 1,652–2,094; lowest 1,361, highest 2,749.

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 1983; median 1983; standard deviation 3; middle half (25th–75th percentile) 1981–1983; lowest 1977, highest 1993.

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 32; median 8; standard deviation 44; middle half (25th–75th percentile) 6–57; lowest 1, highest 153. 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 4.9%; median 3.3%; standard deviation 6.2%; middle half (25th–75th percentile) 0.7%–7.2%; lowest −2.6%, highest 20.0%. 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 18 resale sales (27.8%).

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
13 of 18 resale sales (72.2%).

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
13 sales with a view, 5 without, 0 unclassified. Most common View entries: Park/Greenbelt 9, Trees/Woods 6, None 5, Hill Country 2, Neighborhood 1, Panoramic 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 2026-11-09 12:00 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Austin, SubdivisionName contains any of “lakewood” (case-insensitive). A record is kept when its subdivision name belongs to the Lakewood family, the same rule comparable sales use.
The data
Pulled November 9, 2026: 18 closed Lakewood records over the prior year, in ZIP 78750. 6 subdivision spellings kept: Lakewood Sec 02 Ph 01 (6); Lakewood Sec 01 (4); Lakewood (3); Lakewood Sec 02 Ph 02 (2); Lakewood Sec 03 (2); Lakewood Sec 04 (1). Names found by the search but not part of Lakewood, left out: Lakewood Village (5); Lakewood Park Sec 04 (2).

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 13 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from November 9, 2025 to November 8, 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 $510K”.
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 $510K: $320,000–$499,550 (4 sales); $510K–$590K: $510,000–$590,000 (5 sales); $623K–$694K: $623,000–$694,000 (5 sales); Over $694K: $699,392–$820,000 (4 sales)
Quartiles by living area: Under 1,644 SF: 1,361–1,500 SF (4 sales); 1,644–1,876 SF: 1,644–1,876 SF (5 sales); 2,004–2,095 SF: 2,004–2,095 SF (5 sales); Over 2,095 SF: 2,099–2,749 SF (4 sales)
Quartiles by year built: Before 1981: 1977–1980 (3 sales); 1981–1982: 1981–1982 (5 sales); 1983: 1983–1983 (6 sales); After 1983: 1984–1993 (4 sales)
View and no view: View: MLS lists a view (13 sales); No view: None or Neighborhood (5 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 $605,731, median $606,500. Days on market: average 32, median 8: 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
View and no view: 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 Quartiles by year built

Too few sales in a group to test.

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 41.00—0.4430p < 0.0063Unclearrank-biserial r = 0.262small
Net price per SFMann–Whitney UU = 41.00—0.4430p < 0.0063Unclearrank-biserial r = 0.262small
Living areaMann–Whitney UU = 39.00—0.5663p < 0.0063Unclearrank-biserial r = 0.200small
Year builtMann–Whitney UU = 44.00—0.2666p < 0.0063Unclearrank-biserial r = 0.354medium
Days on marketMann–Whitney UU = 39.50—0.5206p < 0.0063Unclearrank-biserial r = 0.215small
Discount from original listMann–Whitney UU = 35.00—0.8490p < 0.0063Unclearrank-biserial r = 0.077negligible
Price cut before saleChi-squareχ² = 0.2110.6477p < 0.0063UnclearCramér’s V = 0.108small
Seller paid closing costs or repairsChi-squareχ² = 0.2110.6477p < 0.0063UnclearCramér’s V = 0.108small

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 9, 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.