ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Lakeside Estates

Hutto, TX 78634
Resale homes · closed Oct 29 – Oct 28, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
October 29, 2026 · 3:33 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
12
single-family resale homes
Median net sale price
$274,118
average $275,243
Median net price per SF
$167
average $172
Median days on market
81 days
average 89 days
1. SummaryResale homes · 12 sales · October 29, 2025 – October 28, 2026

This study looks at the 12 resale homes sold in Lakeside Estates in the 365 days to October 28, 2026. A full year is used because only 6 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 sold12 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 $255K · 3 sales$255K–$270K · 3 sales$278K–$295K · 3 salesOver $295K · 3 sales
3. Quartiles by net sale priceResale homes · 12 sales · October 29, 2025 – October 28, 2026

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

2026-10-29T03:33:14.711531 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 3 3 3 12 sales Sales per group Under $255K: 3 sales (25%) $255K–$270K: 3 sales (25%) $278K–$295K: 3 sales (25%) Over $295K: 3 sales (25%)
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

2026-10-29T03:33:14.738753 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $255K 3 sales $255K– $270K 3 sales $278K– $295K 3 sales Over $295K 3 sales $0 $100 $200 $195 $176 $154 $161 Net price per SF, average

The average is $161 per SF for homes over $295K and $195 per SF for homes under $255K. It does not move in a straight line; homes under $255K are highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-10-29T03:33:14.760825 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $255K 3 sales $255K– $270K 3 sales $278K– $295K 3 sales Over $295K 3 sales 0 1,000 2,000 1,264 1,557 1,885 1,926 Living area (SF), average

The average is 1,926 SF for homes over $295K and 1,264 SF for homes under $255K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-10-29T03:33:14.784091 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $255K 3 sales $255K– $270K 3 sales $278K– $295K 3 sales Over $295K 3 sales 2002 2003 2004 2005 2002 2005 2003 2004 Year built: median (dot) and middle half (bar)

The median is 2004 for homes over $295K and 2002 for homes under $255K. It does not move in a straight line; homes $255K–$270K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-10-29T03:33:14.806452 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $255K 3 sales $255K– $270K 3 sales $278K– $295K 3 sales Over $295K 3 sales 0 50 100 150 153 76 58 116 Days on market, median

The median is 116 days for homes over $295K and 153 days for homes under $255K. It does not move in a straight line; homes under $255K are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-10-29T03:33:14.828083 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $255K 3 sales $255K– $270K 3 sales $278K– $295K 3 sales Over $295K 3 sales 0.0% 5.0% 10.0% 4.3% 7.7% 11.6% 10.0% Discount from original list, average

The average is 10.0% for homes over $295K and 4.3% for homes under $255K. It does not move in a straight line; homes $278K–$295K 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

2026-10-29T03:33:14.856681 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 67 33 67 67 33 67 100 0 67 100 0 Under $255K $255K–$270K $278K–$295K Over $295K

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

  • 67% of homes over $295K had a price cut before sale, against 0% of homes under $255K. Defined in 8.1.7.
  • 100% of homes over $295K had the seller pay closing costs or repairs, against 67% of homes under $255K. Defined in 8.1.8.
  • 0% of homes over $295K have a view, against 33% of homes under $255K. 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 $255K3 sales$255K–$270K3 sales$278K–$295K3 salesOver $295K3 salesAll12 sales
Net sale price average$241,033$264,350$288,875$306,713$275,243
Net price per SF average$195$176$154$161$172
Living area average1,2641,5571,8851,9261,658
Year built median20022005200320042003

3.10 The numbers: selling

Under $255K3 sales$255K–$270K3 sales$278K–$295K3 salesOver $295K3 salesAll12 sales
Days on market median153765811681
Discount from original list average4.3%7.7%11.6%10.0%8.4%
Price cut before sale0%67%67%67%50%
Seller paid closing costs or repairs67%67%100%100%83%
Has a view33%33%0%0%17%

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 · 12 sales · October 29, 2025 – October 28, 2026

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

2026-10-29T03:33:14.876305 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 3 3 3 12 sales Sales per group Under 1,480 SF: 3 sales (25%) 1,480–1,653 SF: 3 sales (25%) 1,701–1,961 SF: 3 sales (25%) Over 1,961 SF: 3 sales (25%)
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

2026-10-29T03:33:14.896514 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,480 SF 3 sales 1,480– 1,653 SF 3 sales 1,701– 1,961 SF 3 sales Over 1,961 SF 3 sales $0K $100K $200K $300K $247K $268K $281K $305K Net sale price, average

The average is $305K for homes over 1,961 SF and $247K for homes under 1,480 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

Not tested: too few sales.

4.4 Net price per SF: described, not tested

2026-10-29T03:33:14.920278 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,480 SF 3 sales 1,480– 1,653 SF 3 sales 1,701– 1,961 SF 3 sales Over 1,961 SF 3 sales $0 $100 $200 $214 $171 $153 $148 Net price per SF, average

The average is $148 per SF for homes over 1,961 SF and $214 per SF for homes under 1,480 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

2026-10-29T03:33:14.942289 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,480 SF 3 sales 1,480– 1,653 SF 3 sales 1,701– 1,961 SF 3 sales Over 1,961 SF 3 sales 2002 2003 2004 2002 2004 2003 2003 Year built: median (dot) and middle half (bar)

The median is 2003 for homes over 1,961 SF and 2002 for homes under 1,480 SF. It does not move in a straight line; homes 1,480–1,653 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-10-29T03:33:14.964423 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,480 SF 3 sales 1,480– 1,653 SF 3 sales 1,701– 1,961 SF 3 sales Over 1,961 SF 3 sales 0 50 100 53 116 76 14 Days on market, median

The median is 14 days for homes over 1,961 SF and 53 days for homes under 1,480 SF. It does not move in a straight line; homes 1,480–1,653 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-10-29T03:33:14.986170 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,480 SF 3 sales 1,480– 1,653 SF 3 sales 1,701– 1,961 SF 3 sales Over 1,961 SF 3 sales 0.0% 5.0% 10.0% 5.0% 9.3% 11.3% 7.9% Discount from original list, average

The average is 7.9% for homes over 1,961 SF and 5.0% for homes under 1,480 SF. It does not move in a straight line; homes 1,701–1,961 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

2026-10-29T03:33:15.011904 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 0 67 33 33 100 100 33 33 100 0 Under 1,480 SF 1,480–1,653 SF 1,701–1,961 SF Over 1,961 SF

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

  • 33% of homes over 1,961 SF had a price cut before sale, against 0% of homes under 1,480 SF. Defined in 8.1.7.
  • 100% of homes over 1,961 SF had the seller pay closing costs or repairs, against 100% of homes under 1,480 SF. Defined in 8.1.8.
  • 0% of homes over 1,961 SF have a view, against 0% of homes under 1,480 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 1,480 SF3 sales1,480–1,653 SF3 sales1,701–1,961 SF3 salesOver 1,961 SF3 salesAll12 sales
Net sale price average$247,000$267,997$280,745$305,230$275,243
Net price per SF average$214$171$153$148$172
Living area average1,1521,5661,8442,0701,658
Year built median20022004200320032003

4.10 The numbers: selling

Under 1,480 SF3 sales1,480–1,653 SF3 sales1,701–1,961 SF3 salesOver 1,961 SF3 salesAll12 sales
Days on market median53116761481
Discount from original list average5.0%9.3%11.3%7.9%8.4%
Price cut before sale0%67%100%33%50%
Seller paid closing costs or repairs100%33%100%100%83%
Has a view0%33%33%0%17%

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 · 12 sales · October 29, 2025 – October 28, 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.

2026-10-29T03:33:15.030199 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 4 3 12 sales Sales per group Before 2003: 5 sales (42%) 2003–2004: 4 sales (33%) After 2004: 3 sales (25%)
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

2026-10-29T03:33:15.047954 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2003 5 sales 2003– 2004 4 sales After 2004 3 sales $0K $100K $200K $300K $267K $280K $282K Net sale price, average

The average is $282K for homes built after 2004 and $267K for homes built before 2003. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-29T03:33:15.068169 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2003 5 sales 2003– 2004 4 sales After 2004 3 sales $0 $100 $200 $181 $170 $157 Net price per SF, average

The average is $157 per SF for homes built after 2004 and $181 per SF for homes built before 2003. It falls 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

2026-10-29T03:33:15.087662 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2003 5 sales 2003– 2004 4 sales After 2004 3 sales 0 1,000 2,000 1,536 1,698 1,808 Living area (SF), average

The average is 1,808 SF for homes built after 2004 and 1,536 SF for homes built before 2003. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-29T03:33:15.107172 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2003 5 sales 2003– 2004 4 sales After 2004 3 sales 0 50 100 58 78 86 Days on market, median

The median is 86 days for homes built after 2004 and 58 days for homes built before 2003. It rises step by step from the lowest range to the highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-29T03:33:15.127223 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2003 5 sales 2003– 2004 4 sales After 2004 3 sales 0.0% 5.0% 10.0% 15.0% 4.6% 12.6% 9.0% Discount from original list, average

The average is 9.0% for homes built after 2004 and 4.6% for homes built before 2003. It does not move in a straight line; homes built 2003–2004 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

2026-10-29T03:33:15.149791 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% 20 80 20 50 100 0 100 67 33 Before 2003 2003–2004 After 2004

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

  • 100% of homes built after 2004 had a price cut before sale, against 20% of homes built before 2003. Defined in 8.1.7.
  • 67% of homes built after 2004 had the seller pay closing costs or repairs, against 80% of homes built before 2003. Defined in 8.1.8.
  • 33% of homes built after 2004 have a view, against 20% of homes built before 2003. 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 20035 sales2003–20044 salesAfter 20043 salesAll12 sales
Net sale price average$267,210$280,179$282,050$275,243
Net price per SF average$181$170$157$172
Living area average1,5361,6981,8081,658
Year built median2002200320052003

5.10 The numbers: selling

Before 20035 sales2003–20044 salesAfter 20043 salesAll12 sales
Days on market median58788681
Discount from original list average4.6%12.6%9.0%8.4%
Price cut before sale20%50%100%50%
Seller paid closing costs or repairs80%100%67%83%
Has a view20%0%33%17%

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 · 12 sales · October 29, 2025 – October 28, 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.

2026-10-29T03:33:15.166578 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 2 10 12 sales Sales per group View: 2 sales (17%) No view: 10 sales (83%)
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

2026-10-29T03:33:15.182696 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 10 sales $0K $100K $200K $300K $260K $278K Net sale price, average

The average is $260K for homes with a view and $278K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-29T03:33:15.200685 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 10 sales $0 $50 $100 $150 $200 $149 $176 Net price per SF, average

The average is $149 per SF for homes with a view and $176 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-29T03:33:15.218856 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 10 sales 0 500 1,000 1,500 2,000 1,763 1,637 Living area (SF), average

The average is 1,763 SF for homes with a view and 1,637 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-29T03:33:15.260688 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 10 sales 2002 2003 2004 2004 2003 Year built: median (dot) and middle half (bar)

The median is 2004 for homes with a view and 2003 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-10-29T03:33:15.278082 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 10 sales 0 50 100 150 152 72 Days on market, median

The median is 152 days for homes with a view and 72 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

2026-10-29T03:33:15.296981 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 10 sales 0.0% 2.5% 5.0% 7.5% 10.0% 6.0% 8.9% Discount from original list, average

The average is 6.0% for homes with a view and 8.9% 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

2026-10-29T03:33:15.316066 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 50 50 50 90 View No view

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

  • 50% of homes with a view had a price cut before sale, against 50% of homes without a view. Defined in 8.1.7.
  • 50% of homes with a view had the seller pay closing costs or repairs, against 90% of homes without a view. Defined in 8.1.8.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.

6.10 The numbers: price and size

View2 salesNo view10 salesAll12 sales
Net sale price average$260,075$278,276$275,243
Net price per SF average$149$176$172
Living area average1,7631,6371,658
Year built median200420032003

6.11 The numbers: selling

View2 salesNo view10 salesAll12 sales
Days on market median1527281
Discount from original list average6.0%8.9%8.4%
Price cut before sale50%50%50%
Seller paid closing costs or repairs50%90%83%

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 29, 2025 – October 28, 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 Lakeside Estates.

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
12 resale sales. Average $275,243; median $274,118; standard deviation $27,710; middle half (25th–75th percentile) $253,750–$295,652; lowest $224,000, highest $321,000. 10 sales had a seller payment; their median payment was $10,750.

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
12 resale sales. Average $172; median $167; standard deviation $29; middle half (25th–75th percentile) $147–$188; lowest $138, highest $218.

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
12 resale sales. Average 1,658; median 1,677; standard deviation 368; middle half (25th–75th percentile) 1,417–1,967; lowest 1,042, highest 2,142.

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
12 resale sales. Average 2003; median 2003; standard deviation 2; middle half (25th–75th percentile) 2002–2004; lowest 2001, highest 2006.

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
12 resale sales. Average 89; median 81; standard deviation 62; middle half (25th–75th percentile) 50–118; lowest 10, highest 229. 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
12 resale sales. Average 8.4%; median 8.6%; standard deviation 4.5%; middle half (25th–75th percentile) 4.6%–10.1%; lowest 2.0%, highest 16.9%. 0 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 12 resale sales (50.0%).

8.1.8 Seller paid closing costs or repairs

In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
10 of 12 resale sales (83.3%).

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
2 sales with a view, 10 without, 0 unclassified. Most common View entries: None 6, Neighborhood 4, City 2.

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 = Hutto, SubdivisionName contains any of “lakeside estates” (case-insensitive). A record is kept when its subdivision name belongs to the Lakeside Estates family, the same rule comparable sales use.
The data
Pulled October 29, 2026: 12 closed Lakeside Estates records over the prior year, in ZIP 78634. 5 subdivision spellings kept: Lakeside Estates Sec 3 (5); Lakeside Estates (2); Lakeside Estates Sec 5 (2); Lakeside Estates Sec 4 (2); Lakeside Estates Ph 1 (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 6 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 29, 2025 to October 28, 2026 inclusive.
The data
12 single-family sales in the window: 12 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
12 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 $255K”.
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 $255K: $224,000–$250,000 (3 sales); $255K–$270K: $255,000–$270,150 (3 sales); $278K–$295K: $278,086–$294,539 (3 sales); Over $295K: $298,990–$321,000 (3 sales)
Quartiles by living area: Under 1,480 SF: 1,042–1,229 SF (3 sales); 1,480–1,653 SF: 1,480–1,653 SF (3 sales); 1,701–1,961 SF: 1,701–1,961 SF (3 sales); Over 1,961 SF: 1,984–2,142 SF (3 sales)
Groups by year built: Before 2003: 2001–2002 (5 sales); 2003–2004: 2003–2004 (4 sales); After 2004: 2005–2006 (3 sales)
View and no view: View: MLS lists a view (2 sales); No view: None or Neighborhood (10 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 $275,243, median $274,118. Days on market: average 89, median 81: the average is pulled up by a few long listings.

8.2.7 Kruskal–Wallis test

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

8.2.8 Mann–Whitney U test

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

8.2.9 Chi-square test

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

8.2.10 Real difference (significance)

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

8.2.11 Size of a difference

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

8.2.12 Rounding in the text

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

8.3 Test results

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

8.3.1 Quartiles by net sale price

Too few sales in a group to test.

8.3.2 Quartiles by living area

Too few sales in a group to test.

8.3.3 Groups by year built

Too few sales in a group to test.

8.3.4 View and no view

Too few sales in a group to test.

8.4 Data notes

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

8.5 References

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

This is a market study of closed sales, not an appraisal or an opinion of value for any home. The analysis covers 12 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 29, 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.