ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

LEISUREWOODS #3

Buda, TX 78610
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 · 4:45 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
$568,000
average $565,864
Median net price per SF
$260
average $267
Median days on market
68 days
average 78 days
1. SummaryResale homes · 14 sales · October 26, 2025 – October 25, 2026

This study looks at the 14 resale homes sold in LEISUREWOODS #3 in the 365 days to October 25, 2026. A full year is used because only 7 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 $524K · 4 sales$524K–$550K · 3 sales$586K–$615K · 3 salesOver $615K · 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.

2026-10-26T04:45:55.815099 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 3 3 4 14 sales Sales per group Under $524K: 4 sales (29%) $524K–$550K: 3 sales (21%) $586K–$615K: 3 sales (21%) Over $615K: 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

2026-10-26T04:45:55.843765 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $524K 4 sales $524K– $550K 3 sales $586K– $615K 3 sales Over $615K 4 sales $0 $100 $200 $300 $230 $256 $252 $322 Net price per SF, average

The average is $322 per SF for homes over $615K and $230 per SF for homes under $524K. It does not move in a straight line; homes over $615K are highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-10-26T04:45:55.866704 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $524K 4 sales $524K– $550K 3 sales $586K– $615K 3 sales Over $615K 4 sales 0 1,000 2,000 2,060 2,084 2,403 2,086 Living area (SF), average

The average is 2,086 SF for homes over $615K and 2,060 SF for homes under $524K. It does not move in a straight line; homes $586K–$615K are highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-10-26T04:45:55.890895 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $524K 4 sales $524K– $550K 3 sales $586K– $615K 3 sales Over $615K 4 sales 1982 1984 1986 1988 1984 1987 1984 1984 Year built: median (dot) and middle half (bar)

The median is 1984 for homes over $615K and 1984 for homes under $524K. It does not move in a straight line; homes $524K–$550K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-10-26T04:45:55.913995 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $524K 4 sales $524K– $550K 3 sales $586K– $615K 3 sales Over $615K 4 sales 0 50 100 70 116 53 60 Days on market, median

The median is 60 days for homes over $615K and 70 days for homes under $524K. It does not move in a straight line; homes $524K–$550K are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-10-26T04:45:55.935815 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $524K 4 sales $524K– $550K 3 sales $586K– $615K 3 sales Over $615K 4 sales 0.0% 5.0% 10.0% 10.8% 4.1% 6.2% 3.2% Discount from original list, average

The average is 3.2% for homes over $615K and 10.8% for homes under $524K. It does not move in a straight line; homes under $524K 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

2026-10-26T04:45:55.965486 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 50 0 67 67 100 33 67 33 50 75 50 Under $524K $524K–$550K $586K–$615K Over $615K

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

  • 50% of homes over $615K had a price cut before sale, against 25% of homes under $524K. Defined in 8.1.7.
  • 75% of homes over $615K had the seller pay closing costs or repairs, against 50% of homes under $524K. Defined in 8.1.8.
  • 50% of homes over $615K have a view, against 0% of homes under $524K. 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 $524K4 sales$524K–$550K3 sales$586K–$615K3 salesOver $615K4 salesAll14 sales
Net sale price average$463,885$533,000$598,000$668,390$565,864
Net price per SF average$230$256$252$322$267
Living area average2,0602,0842,4032,0862,146
Year built median19841987198419841984

3.10 The numbers: selling

Under $524K4 sales$524K–$550K3 sales$586K–$615K3 salesOver $615K4 salesAll14 sales
Days on market median70116536068
Discount from original list average10.8%4.1%6.2%3.2%6.2%
Price cut before sale25%67%33%50%43%
Seller paid closing costs or repairs50%67%67%75%64%
Has a view0%100%33%50%43%

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.

2026-10-26T04:45:55.986103 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 3 3 4 14 sales Sales per group Under 2,004 SF: 4 sales (29%) 2,004–2,039 SF: 3 sales (21%) 2,098–2,125 SF: 3 sales (21%) Over 2,125 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

2026-10-26T04:45:56.006129 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,004 SF 4 sales 2,004– 2,039 SF 3 sales 2,098– 2,125 SF 3 sales Over 2,125 SF 4 sales $0K $200K $400K $600K $567K $540K $590K $567K Net sale price, average

The average is $567K for homes over 2,125 SF and $567K for homes under 2,004 SF. It does not move in a straight line; homes 2,098–2,125 SF are highest. Defined in 8.1.1.

Not tested: too few sales.

4.4 Net price per SF: described, not tested

2026-10-26T04:45:56.028590 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,004 SF 4 sales 2,004– 2,039 SF 3 sales 2,098– 2,125 SF 3 sales Over 2,125 SF 4 sales $0 $100 $200 $300 $297 $267 $279 $228 Net price per SF, average

The average is $228 per SF for homes over 2,125 SF and $297 per SF for homes under 2,004 SF. It does not move in a straight line; homes under 2,004 SF are highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-10-26T04:45:56.052319 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,004 SF 4 sales 2,004– 2,039 SF 3 sales 2,098– 2,125 SF 3 sales Over 2,125 SF 4 sales 1981 1984 1987 1990 1984 1987 1983 1982 Year built: median (dot) and middle half (bar)

The median is 1982 for homes over 2,125 SF and 1984 for homes under 2,004 SF. It does not move in a straight line; homes 2,004–2,039 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-10-26T04:45:56.074900 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,004 SF 4 sales 2,004– 2,039 SF 3 sales 2,098– 2,125 SF 3 sales Over 2,125 SF 4 sales 0 50 100 150 60 151 5 100 Days on market, median

The median is 100 days for homes over 2,125 SF and 60 days for homes under 2,004 SF. It does not move in a straight line; homes 2,004–2,039 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-10-26T04:45:56.097115 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,004 SF 4 sales 2,004– 2,039 SF 3 sales 2,098– 2,125 SF 3 sales Over 2,125 SF 4 sales 0.0% 5.0% 10.0% 7.4% 4.8% 1.1% 9.9% Discount from original list, average

The average is 9.9% for homes over 2,125 SF and 7.4% for homes under 2,004 SF. It does not move in a straight line; homes over 2,125 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

2026-10-26T04:45:56.123227 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 50 0 33 100 33 33 67 100 50 50 50 Under 2,004 SF 2,004–2,039 SF 2,098–2,125 SF Over 2,125 SF

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

  • 50% of homes over 2,125 SF had a price cut before sale, against 50% of homes under 2,004 SF. Defined in 8.1.7.
  • 50% of homes over 2,125 SF had the seller pay closing costs or repairs, against 50% of homes under 2,004 SF. Defined in 8.1.8.
  • 50% of homes over 2,125 SF have a view, against 0% of homes under 2,004 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 2,004 SF4 sales2,004–2,039 SF3 sales2,098–2,125 SF3 salesOver 2,125 SF4 salesAll14 sales
Net sale price average$566,772$539,833$589,667$566,628$565,864
Net price per SF average$297$267$279$228$267
Living area average1,9082,0242,1162,4992,146
Year built median19841987198319821984

4.10 The numbers: selling

Under 2,004 SF4 sales2,004–2,039 SF3 sales2,098–2,125 SF3 salesOver 2,125 SF4 salesAll14 sales
Days on market median60151510068
Discount from original list average7.4%4.8%1.1%9.9%6.2%
Price cut before sale50%33%33%50%43%
Seller paid closing costs or repairs50%100%67%50%64%
Has a view0%33%100%50%43%

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 · 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.

2026-10-26T04:45:56.143198 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 4 4 3 14 sales Sales per group Before 1983: 3 sales (21%) 1983–1984: 4 sales (29%) 1985: 4 sales (29%) After 1985: 3 sales (21%)
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

2026-10-26T04:45:56.163090 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1983 3 sales 1983– 1984 4 sales 1985 4 sales After 1985 3 sales $0K $200K $400K $600K $515K $609K $575K $547K Net sale price, average

The average is $547K for homes built after 1985 and $515K for homes built before 1983. It does not move in a straight line; homes built 1983–1984 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T04:45:56.185088 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1983 3 sales 1983– 1984 4 sales 1985 4 sales After 1985 3 sales $0 $100 $200 $300 $215 $289 $284 $265 Net price per SF, average

The average is $265 per SF for homes built after 1985 and $215 per SF for homes built before 1983. It does not move in a straight line; homes built 1983–1984 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T04:45:56.206492 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1983 3 sales 1983– 1984 4 sales 1985 4 sales After 1985 3 sales 0 1,000 2,000 2,428 2,118 2,024 2,064 Living area (SF), average

The average is 2,064 SF for homes built after 1985 and 2,428 SF for homes built before 1983. It does not move in a straight line; homes built before 1983 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T04:45:56.227118 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1983 3 sales 1983– 1984 4 sales 1985 4 sales After 1985 3 sales 0 50 100 150 116 26 104 151 Days on market, median

The median is 151 days for homes built after 1985 and 116 days for homes built before 1983. It does not move in a straight line; homes built after 1985 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T04:45:56.249485 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1983 3 sales 1983– 1984 4 sales 1985 4 sales After 1985 3 sales 0.0% 5.0% 10.0% 10.8% 7.6% 3.6% 3.3% Discount from original list, average

The average is 3.3% for homes built after 1985 and 10.8% for homes built before 1983. It falls 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

2026-10-26T04:45:56.274040 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% 67 67 67 50 50 25 25 75 25 33 67 67 Before 1983 1983–1984 1985 After 1985

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

  • 33% of homes built after 1985 had a price cut before sale, against 67% of homes built before 1983. Defined in 8.1.7.
  • 67% of homes built after 1985 had the seller pay closing costs or repairs, against 67% of homes built before 1983. Defined in 8.1.8.
  • 67% of homes built after 1985 have a view, against 67% of homes built before 1983. 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 19833 sales1983–19844 sales19854 salesAfter 19853 salesAll14 sales
Net sale price average$515,333$608,760$574,766$547,333$565,864
Net price per SF average$215$289$284$265$267
Living area average2,4282,1182,0242,0642,146
Year built median19791984198519871984

5.10 The numbers: selling

Before 19833 sales1983–19844 sales19854 salesAfter 19853 salesAll14 sales
Days on market median1162610415168
Discount from original list average10.8%7.6%3.6%3.3%6.2%
Price cut before sale67%50%25%33%43%
Seller paid closing costs or repairs67%50%75%67%64%
Has a view67%25%25%67%43%

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.

2026-10-26T04:45:56.292100 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 8 14 sales Sales per group View: 6 sales (43%) No view: 8 sales (57%)
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$589K$548Kunclear
Net price per SF$265 per SF$268 per SFunclear
Living area2,237 SF2,078 SFunclear
Year built19841984unclear
Days on market60 days68 daysunclear
Discount from original list2.9%8.7%unclear
Price cut before sale33%50%unclear
Seller paid closing costs or repairs83%50%unclear

6.3 Net sale price: no clear difference

2026-10-26T04:45:56.307868 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 6 sales No view 8 sales $0K $200K $400K $600K $589K $548K Net sale price, average

The average is $589K for homes with a view and $548K 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

2026-10-26T04:45:56.325376 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 6 sales No view 8 sales $0 $100 $200 $300 $265 $268 Net price per SF, average

The average is $265 per SF for homes with a view and $268 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

2026-10-26T04:45:56.342959 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 6 sales No view 8 sales 0 1,000 2,000 2,237 2,078 Living area (SF), average

The average is 2,237 SF for homes with a view and 2,078 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-26T04:45:56.427794 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 6 sales No view 8 sales 1982 1984 1986 1984 1984 Year built: median (dot) and middle half (bar)

The median is 1984 for homes with a view and 1984 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-26T04:45:56.446472 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 6 sales No view 8 sales 0 20 40 60 80 60 68 Days on market, median

The median is 60 days for homes with a view and 68 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

2026-10-26T04:45:56.466277 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 6 sales No view 8 sales 0.0% 2.5% 5.0% 7.5% 10.0% 2.9% 8.7% Discount from original list, average

The average is 2.9% for homes with a view and 8.7% 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

2026-10-26T04:45:56.485265 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 33 83 50 50 View No view

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

  • 33% of homes with a view had a price cut before sale, against 50% of homes without a view. Defined in 8.1.7.
  • 83% of homes with a view had the seller pay closing costs or repairs, against 50% 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

View6 salesNo view8 salesAll14 salesReal difference?
Net sale price average$589,085$548,449$565,864unclear
Net price per SF average$265$268$267unclear
Living area average2,2372,0782,146unclear
Year built median198419841984unclear

6.11 The numbers: selling

View6 salesNo view8 salesAll14 salesReal difference?
Days on market median606868unclear
Discount from original list average2.9%8.7%6.2%unclear
Price cut before sale33%50%43%unclear
Seller paid closing costs or repairs83%50%64%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 · October 26, 2025 – October 25, 2026

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

Note: these are only the new-construction sales reported in ABOR MLS. Builders often sell homes without listing them in the MLS, so these figures do not necessarily represent all new-construction sales in LEISUREWOODS #3.

No new-construction sales were reported in ABOR MLS in this window.

Same definitions as the rest of the study (section 8). New construction = NewConstructionYN true, or PropertyCondition “New Construction” or “Under Construction”.

8. AppendixMeasures, methods and tests

Each measure and method three ways: in plain words, as statistics, and with the data from this study.

8.1 Measures

8.1.1 Net sale price

In simple terms
What the seller actually kept: the closing price, less money the seller gave back to the buyer for closing costs or repairs. It is the truest price for comparing homes.
Statistically
Net = ClosePrice − ACTRIS_BuyersClsgCostPdbySell − ACTRIS_RepairsAmount (a blank counts as $0). Summarized by the arithmetic mean in the slices.
The data
14 resale sales. Average $565,864; median $568,000; standard deviation $86,587; middle half (25th–75th percentile) $507,875–$640,538; lowest $410,000, highest $694,000. 9 sales had a seller payment; their median payment was $5,000.

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 $267; median $260; standard deviation $49; middle half (25th–75th percentile) $248–$288; lowest $165, highest $351.

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 2,146; median 2,068; standard deviation 257; middle half (25th–75th percentile) 1,968–2,286; lowest 1,798, highest 2,703.

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 1984; median 1984; standard deviation 4; middle half (25th–75th percentile) 1983–1985; lowest 1978, highest 1995.

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 78; median 68; standard deviation 67; middle half (25th–75th percentile) 7–143; lowest 5, highest 169. 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 6.2%; median 5.5%; standard deviation 7.0%; middle half (25th–75th percentile) 1.9%–9.1%; lowest −5.0%, highest 23.4%. 2 sales closed above their first asking price.

8.1.7 Price cut before sale

In simple terms
The asking price was lowered at least once before the home went under contract.
Statistically
Indicator: ListPrice at close < OriginalListPrice. Reported as the share of sales (%).
The data
6 of 14 resale sales (42.9%).

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
9 of 14 resale sales (64.3%).

8.1.9 Has a view

In simple terms
The MLS says the home looks over something: a greenbelt or park, trees, golf course, hill country, water and similar.
Statistically
View = the View field holds any entry other than “None”, “Neighborhood” or “See Remarks”. No view = only “None” and/or “Neighborhood”. A record whose only entry is “See Remarks” cannot be classified and is left out of the view slice.
The data
6 sales with a view, 8 without, 0 unclassified. Most common View entries: None 5, Neighborhood 4, Trees/Woods 4, Rural 2, See Remarks 1, Hill Country 1, Pasture 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 = Buda, SubdivisionName contains any of “leisurewoods 3”, “leisurewoods”, “leisurewoods #3” (case-insensitive). A record is kept when its subdivision name belongs to the LEISUREWOODS #3 family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 14 closed LEISUREWOODS #3 records over the prior year, in ZIP 78610. 9 subdivision spellings kept: Leisurewoods Sec 2 (3); Leisurewoods Sec 1 (3); Leisurewoods Sec 4 (2); Leisurewoods 05 (1); LEISUREWOODS 5 (1); Leisurewoods Sec 3 (1); Leisurewoods (1); Leisurewoods Sec 5 (1); LEISUREWOODS #3 LOT 5 BLK B (1). No other names were found by the search.

8.2.2 Study window

In simple terms
The most recent 365 days of closed sales: recent enough to describe today's market, long enough to give each group plenty of sales. The usual window is 180 days; it holds only 7 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
14 single-family sales in the window: 14 resale, 0 new construction.

8.2.3 Resale and new construction

In simple terms
A resale home was previously owned. New construction is sold by the builder and behaves differently, so it is kept out of every analysis and reported once on its own.
Statistically
New construction = NewConstructionYN true, or PropertyCondition contains “New Construction” or “Under Construction”. Everything else is resale.
The data
14 resale; 0 new construction.

8.2.4 Sales left out

In simple terms
A few records cannot be used as entered and are left out before any analysis.
Statistically
Excluded: PropertySubType other than Single Family Residence; no OriginalListPrice; LivingArea under 400 SF; seller payments above 10% of ClosePrice (treated as entry errors).
The data
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 $524K”.
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 $524K: $410,000–$502,500 (4 sales); $524K–$550K: $524,000–$550,000 (3 sales); $586K–$615K: $586,000–$615,000 (3 sales); Over $615K: $649,050–$694,000 (4 sales)
Quartiles by living area: Under 2,004 SF: 1,798–1,956 SF (4 sales); 2,004–2,039 SF: 2,004–2,039 SF (3 sales); 2,098–2,125 SF: 2,098–2,125 SF (3 sales); Over 2,125 SF: 2,340–2,703 SF (4 sales)
Quartiles by year built: Before 1983: 1978–1980 (3 sales); 1983–1984: 1983–1984 (4 sales); 1985: 1985–1985 (4 sales); After 1985: 1987–1995 (3 sales)
View and no view: View: MLS lists a view (6 sales); No view: None or Neighborhood (8 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 $565,864, median $568,000. Days on market: average 78, median 68: 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 = 31.00—0.4136p < 0.0063Unclearrank-biserial r = 0.292small
Net price per SFMann–Whitney UU = 22.00—0.8518p < 0.0063Unclearrank-biserial r = 0.083negligible
Living areaMann–Whitney UU = 37.00—0.1058p < 0.0063Unclearrank-biserial r = 0.542large
Year builtMann–Whitney UU = 23.00—0.9478p < 0.0063Unclearrank-biserial r = 0.042negligible
Days on marketMann–Whitney UU = 18.50—0.5139p < 0.0063Unclearrank-biserial r = 0.229small
Discount from original listMann–Whitney UU = 13.00—0.1812p < 0.0063Unclearrank-biserial r = 0.458medium
Price cut before saleChi-squareχ² = 0.3910.5329p < 0.0063UnclearCramér’s V = 0.167small
Seller paid closing costs or repairsChi-squareχ² = 1.6610.1977p < 0.0063UnclearCramér’s V = 0.344medium

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 14 closed MLS resale sales; the 0 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled October 26, 2026. Map data © OpenStreetMap contributors. ALEX Companies · Licensed by the Texas Real Estate Commission · Broker: Alexander Tiffany Southwest, LLC (ALEX Real Estate), #565194-BB · Diane Hart Alexander, Designated Broker, #574877-B.