ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Lakeside Ph 3

Georgetown, TX 78633
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 · 5:02 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
17
single-family resale homes
Median net sale price
$549,955
average $558,607
Median net price per SF
$200
average $205
Median days on market
41 days
average 69 days
1. SummaryResale homes · 17 sales · October 26, 2025 – October 25, 2026

This study looks at the 17 resale homes sold in Lakeside Ph 3 in the 365 days to October 25, 2026. A full year is used because only 8 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 sold17 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 $505K · 4 sales$505K–$520K · 4 sales$550K–$605K · 5 salesOver $605K · 4 sales
3. Quartiles by net sale priceResale homes · 17 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.

2026-10-26T05:02:48.294382 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 4 5 4 17 sales Sales per group Under $505K: 4 sales (24%) $505K–$520K: 4 sales (24%) $550K–$605K: 5 sales (29%) Over $605K: 4 sales (24%)
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

2026-10-26T05:02:48.322435 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $505K 4 sales $505K– $520K 4 sales $550K– $605K 5 sales Over $605K 4 sales $0 $100 $200 $194 $199 $211 $215 Net price per SF, average

The average is $215 per SF for homes over $605K and $194 per SF for homes under $505K. It rises step by step from the lowest range to the highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-10-26T05:02:48.344216 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $505K 4 sales $505K– $520K 4 sales $550K– $605K 5 sales Over $605K 4 sales 0 1,000 2,000 3,000 2,530 2,582 2,726 3,082 Living area (SF), average

The average is 3,082 SF for homes over $605K and 2,530 SF for homes under $505K. 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

2026-10-26T05:02:48.367931 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $505K 4 sales $505K– $520K 4 sales $550K– $605K 5 sales Over $605K 4 sales 2016 2018 2020 2022 2020 2020 2016 2020 Year built: median (dot) and middle half (bar)

The median is 2020 for homes over $605K and 2020 for homes under $505K. It does not move in a straight line; homes $505K–$520K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-10-26T05:02:48.390587 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $505K 4 sales $505K– $520K 4 sales $550K– $605K 5 sales Over $605K 4 sales 0 25 50 75 38 50 15 81 Days on market, median

The median is 81 days for homes over $605K and 38 days for homes under $505K. It does not move in a straight line; homes over $605K are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-10-26T05:02:48.412599 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $505K 4 sales $505K– $520K 4 sales $550K– $605K 5 sales Over $605K 4 sales 0.0% 2.5% 5.0% 7.5% 3.5% 6.7% 3.9% 6.4% Discount from original list, average

The average is 6.4% for homes over $605K and 3.5% for homes under $505K. It does not move in a straight line; homes $505K–$520K 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

2026-10-26T05:02:48.441654 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 0 75 50 50 40 40 40 50 0 75 Under $505K $505K–$520K $550K–$605K Over $605K

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

  • 50% of homes over $605K had a price cut before sale, against 25% of homes under $505K. Defined in 8.1.7.
  • 0% of homes over $605K had the seller pay closing costs or repairs, against 75% of homes under $505K. Defined in 8.1.8.
  • 75% of homes over $605K have a view, against 0% of homes under $505K. 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 $505K4 sales$505K–$520K4 sales$550K–$605K5 salesOver $605K4 salesAll17 sales
Net sale price average$488,664$512,625$571,831$658,000$558,607
Net price per SF average$194$199$211$215$205
Living area average2,5302,5822,7263,0822,730
Year built median20202020201620202020

3.10 The numbers: selling

Under $505K4 sales$505K–$520K4 sales$550K–$605K5 salesOver $605K4 salesAll17 sales
Days on market median3850158141
Discount from original list average3.5%6.7%3.9%6.4%5.0%
Price cut before sale25%75%40%50%47%
Seller paid closing costs or repairs75%50%40%0%41%
Has a view0%50%40%75%41%

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 · 17 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.

2026-10-26T05:02:48.461456 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 4 5 4 17 sales Sales per group Under 2,562 SF: 4 sales (24%) 2,562–2,636 SF: 4 sales (24%) 2,704–2,812 SF: 5 sales (29%) Over 2,812 SF: 4 sales (24%)
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

2026-10-26T05:02:48.481062 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,562 SF 4 sales 2,562– 2,636 SF 4 sales 2,704– 2,812 SF 5 sales Over 2,812 SF 4 sales $0K $200K $400K $600K $518K $518K $560K $638K Net sale price, average

The average is $638K for homes over 2,812 SF and $518K for homes under 2,562 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

2026-10-26T05:02:48.503767 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,562 SF 4 sales 2,562– 2,636 SF 4 sales 2,704– 2,812 SF 5 sales Over 2,812 SF 4 sales $0 $100 $200 $215 $200 $202 $205 Net price per SF, average

The average is $205 per SF for homes over 2,812 SF and $215 per SF for homes under 2,562 SF. It does not move in a straight line; homes under 2,562 SF are highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-10-26T05:02:48.526607 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,562 SF 4 sales 2,562– 2,636 SF 4 sales 2,704– 2,812 SF 5 sales Over 2,812 SF 4 sales 2016 2018 2020 2022 2021 2020 2020 2020 Year built: median (dot) and middle half (bar)

The median is 2020 for homes over 2,812 SF and 2021 for homes under 2,562 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-10-26T05:02:48.549059 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,562 SF 4 sales 2,562– 2,636 SF 4 sales 2,704– 2,812 SF 5 sales Over 2,812 SF 4 sales 0 50 100 23 21 49 114 Days on market, median

The median is 114 days for homes over 2,812 SF and 23 days for homes under 2,562 SF. It does not move in a straight line; homes over 2,812 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-10-26T05:02:48.571172 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,562 SF 4 sales 2,562– 2,636 SF 4 sales 2,704– 2,812 SF 5 sales Over 2,812 SF 4 sales 0.0% 2.5% 5.0% 7.5% 3.8% 2.3% 5.9% 8.0% Discount from original list, average

The average is 8.0% for homes over 2,812 SF and 3.8% for homes under 2,562 SF. It does not move in a straight line; homes over 2,812 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

2026-10-26T05:02:48.597311 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 50 25 50 25 75 0 60 40 40 50 25 75 Under 2,562 SF 2,562–2,636 SF 2,704–2,812 SF Over 2,812 SF

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

  • 50% of homes over 2,812 SF had a price cut before sale, against 50% of homes under 2,562 SF. Defined in 8.1.7.
  • 25% of homes over 2,812 SF had the seller pay closing costs or repairs, against 25% of homes under 2,562 SF. Defined in 8.1.8.
  • 75% of homes over 2,812 SF have a view, against 50% of homes under 2,562 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 2,562 SF4 sales2,562–2,636 SF4 sales2,704–2,812 SF5 salesOver 2,812 SF4 salesAll17 sales
Net sale price average$517,500$518,489$560,351$637,650$558,607
Net price per SF average$215$200$202$205$205
Living area average2,4112,5972,7693,1322,730
Year built median20212020202020202020

4.10 The numbers: selling

Under 2,562 SF4 sales2,562–2,636 SF4 sales2,704–2,812 SF5 salesOver 2,812 SF4 salesAll17 sales
Days on market median23214911441
Discount from original list average3.8%2.3%5.9%8.0%5.0%
Price cut before sale50%25%60%50%47%
Seller paid closing costs or repairs25%75%40%25%41%
Has a view50%0%40%75%41%

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 · 17 sales · October 26, 2025 – October 25, 2026

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

2026-10-26T05:02:48.615627 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 7 6 4 17 sales Sales per group Before 2020: 7 sales (41%) 2020–2021: 6 sales (35%) After 2021: 4 sales (24%)
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

2026-10-26T05:02:48.633439 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2020 7 sales 2020– 2021 6 sales After 2021 4 sales $0K $200K $400K $600K $556K $585K $524K Net sale price, average

The average is $524K for homes built after 2021 and $556K for homes built before 2020. It does not move in a straight line; homes built 2020–2021 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T05:02:48.654074 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2020 7 sales 2020– 2021 6 sales After 2021 4 sales $0 $100 $200 $199 $211 $208 Net price per SF, average

The average is $208 per SF for homes built after 2021 and $199 per SF for homes built before 2020. It does not move in a straight line; homes built 2020–2021 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T05:02:48.673617 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2020 7 sales 2020– 2021 6 sales After 2021 4 sales 0 1,000 2,000 3,000 2,815 2,765 2,528 Living area (SF), average

The average is 2,528 SF for homes built after 2021 and 2,815 SF for homes built before 2020. It falls 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

2026-10-26T05:02:48.692791 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2020 7 sales 2020– 2021 6 sales After 2021 4 sales 0 20 40 60 27 66 28 Days on market, median

The median is 28 days for homes built after 2021 and 27 days for homes built before 2020. It does not move in a straight line; homes built 2020–2021 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T05:02:48.713134 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2020 7 sales 2020– 2021 6 sales After 2021 4 sales 0.0% 2.0% 4.0% 6.0% 5.2% 5.8% 3.7% Discount from original list, average

The average is 3.7% for homes built after 2021 and 5.2% for homes built before 2020. It does not move in a straight line; homes built 2020–2021 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

2026-10-26T05:02:48.735888 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 29 71 43 67 33 50 50 0 25 Before 2020 2020–2021 After 2021

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

  • 50% of homes built after 2021 had a price cut before sale, against 29% of homes built before 2020. Defined in 8.1.7.
  • 0% of homes built after 2021 had the seller pay closing costs or repairs, against 71% of homes built before 2020. Defined in 8.1.8.
  • 25% of homes built after 2021 have a view, against 43% of homes built before 2020. 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 20207 sales2020–20216 salesAfter 20214 salesAll17 sales
Net sale price average$555,837$584,750$524,239$558,607
Net price per SF average$199$211$208$205
Living area average2,8152,7652,5282,730
Year built median2016202020232020

5.10 The numbers: selling

Before 20207 sales2020–20216 salesAfter 20214 salesAll17 sales
Days on market median27662841
Discount from original list average5.2%5.8%3.7%5.0%
Price cut before sale29%67%50%47%
Seller paid closing costs or repairs71%33%0%41%
Has a view43%50%25%41%

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 · 17 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.

2026-10-26T05:02:48.752113 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 7 10 17 sales Sales per group View: 7 sales (41%) No view: 10 sales (59%)
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$597K$532Kunclear
Net price per SF$213 per SF$200 per SFunclear
Living area2,818 SF2,668 SFunclear
Year built20202020unclear
Days on market60 days21 daysunclear
Discount from original list7.9%3.1%unclear
Price cut before sale71%30%unclear
Seller paid closing costs or repairs14%60%unclear

6.3 Net sale price: no clear difference

2026-10-26T05:02:48.768253 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 7 sales No view 10 sales $0K $200K $400K $600K $597K $532K Net sale price, average

The average is $597K for homes with a view and $532K 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

2026-10-26T05:02:48.785618 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 7 sales No view 10 sales $0 $100 $200 $213 $200 Net price per SF, average

The average is $213 per SF for homes with a view and $200 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

2026-10-26T05:02:48.802257 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 7 sales No view 10 sales 0 1,000 2,000 3,000 2,818 2,668 Living area (SF), average

The average is 2,818 SF for homes with a view and 2,668 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-26T05:02:48.841235 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 7 sales No view 10 sales 2018 2020 2022 2020 2020 Year built: median (dot) and middle half (bar)

The median is 2020 for homes with a view and 2020 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-26T05:02:48.858242 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 7 sales No view 10 sales 0 20 40 60 60 21 Days on market, median

The median is 60 days for homes with a view and 21 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

2026-10-26T05:02:48.876415 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 7 sales No view 10 sales 0.0% 2.0% 4.0% 6.0% 8.0% 7.9% 3.1% Discount from original list, average

The average is 7.9% for homes with a view and 3.1% 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

2026-10-26T05:02:48.895679 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 71 14 30 60 View No view

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

  • 71% of homes with a view had a price cut before sale, against 30% of homes without a view. Defined in 8.1.7.
  • 14% of homes with a view had the seller pay closing costs or repairs, against 60% 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

View7 salesNo view10 salesAll17 salesReal difference?
Net sale price average$597,086$531,671$558,607unclear
Net price per SF average$213$200$205unclear
Living area average2,8182,6682,730unclear
Year built median202020202020unclear

6.11 The numbers: selling

View7 salesNo view10 salesAll17 salesReal difference?
Days on market median602141unclear
Discount from original list average7.9%3.1%5.0%unclear
Price cut before sale71%30%47%unclear
Seller paid closing costs or repairs14%60%41%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 Lakeside Ph 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
17 resale sales. Average $558,607; median $549,955; standard deviation $66,653; middle half (25th–75th percentile) $505,000–$605,000; lowest $472,000, highest $670,000. 7 sales had a seller payment; their median payment was $3,844.

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
17 resale sales. Average $205; median $200; standard deviation $18; middle half (25th–75th percentile) $195–$209; lowest $176, highest $244.

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
17 resale sales. Average 2,730; median 2,704; standard deviation 296; middle half (25th–75th percentile) 2,562–2,812; lowest 2,221, highest 3,458.

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
17 resale sales. Average 2020; median 2020; standard deviation 3; middle half (25th–75th percentile) 2016–2021; lowest 2016, highest 2024.

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
17 resale sales. Average 69; median 41; standard deviation 90; middle half (25th–75th percentile) 5–71; lowest 1, highest 327. 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
17 resale sales. Average 5.0%; median 5.0%; standard deviation 5.1%; middle half (25th–75th percentile) 0.3%–8.2%; lowest −1.7%, highest 15.8%. 1 sales closed above their first asking price.

8.1.7 Price cut before sale

In simple terms
The asking price was lowered at least once before the home went under contract.
Statistically
Indicator: ListPrice at close < OriginalListPrice. Reported as the share of sales (%).
The data
8 of 17 resale sales (47.1%).

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
7 of 17 resale sales (41.2%).

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
7 sales with a view, 10 without, 0 unclassified. Most common View entries: None 8, Trees/Woods 6, Park/Greenbelt 4, Neighborhood 3, Hill Country 2, See Remarks 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 = Georgetown, SubdivisionName contains any of “lakeside”, “lakeside at lake georgetown” (case-insensitive). A record is kept when its subdivision name belongs to the Lakeside Ph 3 family, the same rule comparable sales use (it includes Lakeside at Lake Georgetown, proven adjacent and priced alike).
The data
Pulled October 26, 2026: 17 closed Lakeside Ph 3 records over the prior year, in ZIP 78633. 7 subdivision spellings kept: Lakeside Ph 2 (5); Lakeside Ph 1 (4); Lakeside Ph 3 (3); Lakeside at Lake Georgetown (2); Lakeside Ph Three (1); Lakeside (1); LAKESIDE AT LAKE GEORGETOWN (1). Names found by the search but not part of Lakeside Ph 3, left out: Final Plat/Lakeside Ph 2 (1).

8.2.2 Study window

In simple terms
The most recent 365 days of closed sales: recent enough to describe today's market, long enough to give each group plenty of sales. The usual window is 180 days; it holds only 8 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
17 single-family sales in the window: 17 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
17 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 $505K”.
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 $505K: $472,000–$498,500 (4 sales); $505K–$520K: $505,000–$520,000 (4 sales); $550K–$605K: $549,955–$605,000 (5 sales); Over $605K: $645,000–$670,000 (4 sales)
Quartiles by living area: Under 2,562 SF: 2,221–2,495 SF (4 sales); 2,562–2,636 SF: 2,562–2,636 SF (4 sales); 2,704–2,812 SF: 2,704–2,812 SF (5 sales); Over 2,812 SF: 2,877–3,458 SF (4 sales)
Groups by year built: Before 2020: 2016–2019 (7 sales); 2020–2021: 2020–2021 (6 sales); After 2021: 2022–2024 (4 sales)
View and no view: View: MLS lists a view (7 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 $558,607, median $549,955. Days on market: average 69, median 41: 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 Groups 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 = 56.00—0.0431p < 0.0063Unclearrank-biserial r = 0.600large
Net price per SFMann–Whitney UU = 41.00—0.6009p < 0.0063Unclearrank-biserial r = 0.171small
Living areaMann–Whitney UU = 44.00—0.4173p < 0.0063Unclearrank-biserial r = 0.257small
Year builtMann–Whitney UU = 28.50—0.5508p < 0.0063Unclearrank-biserial r = 0.186small
Days on marketMann–Whitney UU = 50.00—0.1568p < 0.0063Unclearrank-biserial r = 0.429medium
Discount from original listMann–Whitney UU = 50.50—0.1430p < 0.0063Unclearrank-biserial r = 0.443medium
Price cut before saleChi-squareχ² = 2.8410.0921p < 0.0063UnclearCramér’s V = 0.408medium
Seller paid closing costs or repairsChi-squareχ² = 3.5510.0595p < 0.0063UnclearCramér’s V = 0.457medium

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 17 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.