ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Brooklands

Hutto, TX 78634
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 · 5:08 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
15
single-family resale homes
Median net sale price
$301,050
average $320,283
Median net price per SF
$159
average $163
Median days on market
82 days
average 133 days
1. SummaryResale homes · 15 sales · October 26, 2025 – October 25, 2026

This study looks at the 15 resale homes sold in Brooklands in the 365 days to October 25, 2026. A full year is used because only 12 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 sold15 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 $285K · 4 sales$285K–$301K · 4 sales$320K–$328K · 3 salesOver $328K · 4 sales
3. Quartiles by net sale priceResale homes · 15 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.

2026-10-26T05:08:58.679798 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 4 3 4 15 sales Sales per group Under $285K: 4 sales (27%) $285K–$301K: 4 sales (27%) $320K–$328K: 3 sales (20%) Over $328K: 4 sales (27%)
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

2026-10-26T05:08:58.708926 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $285K 4 sales $285K– $301K 4 sales $320K– $328K 3 sales Over $328K 4 sales $0 $100 $200 $180 $167 $147 $153 Net price per SF, average

The average is $153 per SF for homes over $328K and $180 per SF for homes under $285K. It does not move in a straight line; homes under $285K are highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-10-26T05:08:58.731580 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $285K 4 sales $285K– $301K 4 sales $320K– $328K 3 sales Over $328K 4 sales 0 1,000 2,000 3,000 1,544 1,781 2,235 2,584 Living area (SF), average

The average is 2,584 SF for homes over $328K and 1,544 SF for homes under $285K. 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

2026-10-26T05:08:58.756299 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $285K 4 sales $285K– $301K 4 sales $320K– $328K 3 sales Over $328K 4 sales 2020 2021 2022 2023 2022 2021 2020 2022 Year built: median (dot) and middle half (bar)

The median is 2022 for homes over $328K and 2022 for homes under $285K. It does not move in a straight line; homes over $328K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-10-26T05:08:58.779719 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $285K 4 sales $285K– $301K 4 sales $320K– $328K 3 sales Over $328K 4 sales 0 100 200 300 88 253 82 56 Days on market, median

The median is 56 days for homes over $328K and 88 days for homes under $285K. It does not move in a straight line; homes $285K–$301K are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-10-26T05:08:58.801735 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $285K 4 sales $285K– $301K 4 sales $320K– $328K 3 sales Over $328K 4 sales 0.0% 5.0% 10.0% 15.0% 13.4% 7.3% 4.2% 5.2% Discount from original list, average

The average is 5.2% for homes over $328K and 13.4% for homes under $285K. It does not move in a straight line; homes under $285K 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

2026-10-26T05:08:58.832719 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% 100 75 25 75 100 0 67 67 0 50 100 0 Under $285K $285K–$301K $320K–$328K Over $328K

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

  • 50% of homes over $328K had a price cut before sale, against 100% of homes under $285K. Defined in 8.1.7.
  • 100% of homes over $328K had the seller pay closing costs or repairs, against 75% of homes under $285K. Defined in 8.1.8.
  • 0% of homes over $328K have a view, against 25% of homes under $285K. 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 $285K4 sales$285K–$301K4 sales$320K–$328K3 salesOver $328K4 salesAll15 sales
Net sale price average$271,564$295,772$324,583$390,288$320,283
Net price per SF average$180$167$147$153$163
Living area average1,5441,7812,2352,5842,023
Year built median20222021202020222021

3.10 The numbers: selling

Under $285K4 sales$285K–$301K4 sales$320K–$328K3 salesOver $328K4 salesAll15 sales
Days on market median88253825682
Discount from original list average13.4%7.3%4.2%5.2%7.7%
Price cut before sale100%75%67%50%73%
Seller paid closing costs or repairs75%100%67%100%87%
Has a view25%0%0%0%7%

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.1.

4. Quartiles by living areaResale homes · 15 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.

2026-10-26T05:08:58.853814 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 3 4 4 15 sales Sales per group Under 1,760 SF: 4 sales (27%) 1,760–1,885 SF: 3 sales (20%) 1,930–2,293 SF: 4 sales (27%) Over 2,293 SF: 4 sales (27%)
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

2026-10-26T05:08:58.874354 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,760 SF 4 sales 1,760– 1,885 SF 3 sales 1,930– 2,293 SF 4 sales Over 2,293 SF 4 sales $0K $200K $400K $276K $306K $308K $387K Net sale price, average

The average is $387K for homes over 2,293 SF and $276K for homes under 1,760 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

2026-10-26T05:08:58.896815 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,760 SF 4 sales 1,760– 1,885 SF 3 sales 1,930– 2,293 SF 4 sales Over 2,293 SF 4 sales $0 $100 $200 $192 $166 $149 $145 Net price per SF, average

The average is $145 per SF for homes over 2,293 SF and $192 per SF for homes under 1,760 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

2026-10-26T05:08:58.919469 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,760 SF 4 sales 1,760– 1,885 SF 3 sales 1,930– 2,293 SF 4 sales Over 2,293 SF 4 sales 2021 2022 2023 2023 2021 2021 2022 Year built: median (dot) and middle half (bar)

The median is 2022 for homes over 2,293 SF and 2023 for homes under 1,760 SF. It does not move in a straight line; homes under 1,760 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-10-26T05:08:58.942376 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,760 SF 4 sales 1,760– 1,885 SF 3 sales 1,930– 2,293 SF 4 sales Over 2,293 SF 4 sales 0 100 200 168 82 152 61 Days on market, median

The median is 61 days for homes over 2,293 SF and 168 days for homes under 1,760 SF. It does not move in a straight line; homes under 1,760 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-10-26T05:08:58.964348 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,760 SF 4 sales 1,760– 1,885 SF 3 sales 1,930– 2,293 SF 4 sales Over 2,293 SF 4 sales 0.0% 5.0% 10.0% 11.9% 6.0% 8.3% 4.4% Discount from original list, average

The average is 4.4% for homes over 2,293 SF and 11.9% for homes under 1,760 SF. It does not move in a straight line; homes under 1,760 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

2026-10-26T05:08:58.991038 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% 75 75 0 100 100 0 75 100 25 50 75 0 Under 1,760 SF 1,760–1,885 SF 1,930–2,293 SF Over 2,293 SF

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

  • 50% of homes over 2,293 SF had a price cut before sale, against 75% of homes under 1,760 SF. Defined in 8.1.7.
  • 75% of homes over 2,293 SF had the seller pay closing costs or repairs, against 75% of homes under 1,760 SF. Defined in 8.1.8.
  • 0% of homes over 2,293 SF have a view, against 0% of homes under 1,760 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 1,760 SF4 sales1,760–1,885 SF3 sales1,930–2,293 SF4 salesOver 2,293 SF4 salesAll15 sales
Net sale price average$276,366$305,846$308,086$387,225$320,283
Net price per SF average$192$166$149$145$163
Living area average1,4491,8432,0742,6802,023
Year built median20232021202120222021

4.10 The numbers: selling

Under 1,760 SF4 sales1,760–1,885 SF3 sales1,930–2,293 SF4 salesOver 2,293 SF4 salesAll15 sales
Days on market median168821526182
Discount from original list average11.9%6.0%8.3%4.4%7.7%
Price cut before sale75%100%75%50%73%
Seller paid closing costs or repairs75%100%100%75%87%
Has a view0%0%25%0%7%

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

5. Groups by year builtResale homes · 15 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.

2026-10-26T05:08:59.009744 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 7 5 15 sales Sales per group Before 2021: 3 sales (20%) 2021–2022: 7 sales (47%) After 2022: 5 sales (33%)
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

2026-10-26T05:08:59.027988 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2021 3 sales 2021– 2022 7 sales After 2022 5 sales $0K $100K $200K $300K $317K $319K $324K Net sale price, average

The average is $324K for homes built after 2022 and $317K for homes built before 2021. 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

2026-10-26T05:08:59.049174 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2021 3 sales 2021– 2022 7 sales After 2022 5 sales $0 $100 $200 $147 $155 $183 Net price per SF, average

The average is $183 per SF for homes built after 2022 and $147 per SF for homes built before 2021. It rises step by step from the lowest range to the highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T05:08:59.068743 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2021 3 sales 2021– 2022 7 sales After 2022 5 sales 0 1,000 2,000 2,193 2,091 1,826 Living area (SF), average

The average is 1,826 SF for homes built after 2022 and 2,193 SF for homes built before 2021. 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

2026-10-26T05:08:59.089884 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2021 3 sales 2021– 2022 7 sales After 2022 5 sales 0 100 200 300 250 65 125 Days on market, median

The median is 125 days for homes built after 2022 and 250 days for homes built before 2021. It does not move in a straight line; homes built before 2021 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T05:08:59.112598 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2021 3 sales 2021– 2022 7 sales After 2022 5 sales 0.0% 5.0% 10.0% 3.9% 9.3% 7.8% Discount from original list, average

The average is 7.8% for homes built after 2022 and 3.9% for homes built before 2021. It does not move in a straight line; homes built 2021–2022 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

2026-10-26T05:08:59.135675 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 0 86 86 14 60 100 0 Before 2021 2021–2022 After 2022

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

  • 60% of homes built after 2022 had a price cut before sale, against 67% of homes built before 2021. Defined in 8.1.7.
  • 100% of homes built after 2022 had the seller pay closing costs or repairs, against 67% of homes built before 2021. Defined in 8.1.8.
  • 0% of homes built after 2022 have a view, against 0% of homes built before 2021. 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 20213 sales2021–20227 salesAfter 20225 salesAll15 sales
Net sale price average$317,083$318,805$324,273$320,283
Net price per SF average$147$155$183$163
Living area average2,1932,0911,8262,023
Year built median2020202120232021

5.10 The numbers: selling

Before 20213 sales2021–20227 salesAfter 20225 salesAll15 sales
Days on market median2506512582
Discount from original list average3.9%9.3%7.8%7.7%
Price cut before sale67%86%60%73%
Seller paid closing costs or repairs67%86%100%87%
Has a view0%14%0%7%

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.3.

6. View and no viewResale homes · 15 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. 1 sales whose MLS view entry is only “See Remarks” are left out.

2026-10-26T05:08:59.152984 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 1 13 14 sales Sales per group View: 1 sales (7%) No view: 13 sales (93%)
Bottom line: too few sales to test.

6.1 Key differences

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

6.3 Net sale price: described, not tested

2026-10-26T05:08:59.169590 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 13 sales $0K $100K $200K $300K $282K $316K Net sale price, average

The average is $282K for homes with a view and $316K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-26T05:08:59.187050 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 13 sales $0 $50 $100 $150 $146 $164 Net price per SF, average

The average is $146 per SF for homes with a view and $164 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-26T05:08:59.205549 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 13 sales 0 500 1,000 1,500 2,000 1,930 1,994 Living area (SF), average

The average is 1,930 SF for homes with a view and 1,994 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-26T05:08:59.292254 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 13 sales 2021 2022 2023 2021 2021 Year built: median (dot) and middle half (bar)

The median is 2021 for homes with a view and 2021 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-10-26T05:08:59.312931 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 13 sales 0 25 50 75 100 52 94 Days on market, median

The median is 52 days for homes with a view and 94 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

2026-10-26T05:08:59.331400 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 13 sales 0.0% 5.0% 10.0% 10.5% 7.6% Discount from original list, average

The average is 10.5% for homes with a view and 7.6% 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

2026-10-26T05:08:59.350403 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 100 100 69 85 View No view

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

  • 100% of homes with a view had a price cut before sale, against 69% of homes without a view. Defined in 8.1.7.
  • 100% of homes with a view had the seller pay closing costs or repairs, against 85% of homes without a view. Defined in 8.1.8.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.

6.10 The numbers: price and size

View1 salesNo view13 salesAll14 sales
Net sale price average$281,845$315,577$313,168
Net price per SF average$146$164$162
Living area average1,9301,9941,990
Year built median202120212021

6.11 The numbers: selling

View1 salesNo view13 salesAll14 sales
Days on market median529488
Discount from original list average10.5%7.6%7.8%
Price cut before sale100%69%71%
Seller paid closing costs or repairs100%85%86%

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 · 7 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: 7 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 Brooklands.
MeasureAverageMedian
Sales7
Net sale price$322,918$317,000
Net price per SF$177$167
Living area (SF)1,8671,895
Days on market261167
Discount from original list13.2%12.7%
Price cut before sale0% of sales
Seller paid closing costs or repairs86% of sales
Year built2024–2025

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

8. AppendixMeasures, methods and tests

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

8.1 Measures

8.1.1 Net sale price

In simple terms
What the seller actually kept: the closing price, less money the seller gave back to the buyer for closing costs or repairs. It is the truest price for comparing homes.
Statistically
Net = ClosePrice − ACTRIS_BuyersClsgCostPdbySell − ACTRIS_RepairsAmount (a blank counts as $0). Summarized by the arithmetic mean in the slices.
The data
15 resale sales. Average $320,283; median $301,050; standard deviation $52,449; middle half (25th–75th percentile) $284,000–$332,750; lowest $246,413, highest $433,000. 13 sales had a seller payment; their median payment was $6,950.

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
15 resale sales. Average $163; median $159; standard deviation $23; middle half (25th–75th percentile) $147–$170; lowest $129, highest $209.

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
15 resale sales. Average 2,023; median 1,930; standard deviation 517; middle half (25th–75th percentile) 1,695–2,384; lowest 1,262, highest 3,231.

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
15 resale sales. Average 2022; median 2021; standard deviation 1; middle half (25th–75th percentile) 2021–2023; lowest 2020, 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
15 resale sales. Average 133; median 82; standard deviation 98; middle half (25th–75th percentile) 61–246; lowest 10, highest 303. 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
15 resale sales. Average 7.7%; median 6.7%; standard deviation 4.9%; middle half (25th–75th percentile) 4.4%–9.3%; lowest 2.6%, highest 17.9%. 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
11 of 15 resale sales (73.3%).

8.1.8 Seller paid closing costs or repairs

In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
13 of 15 resale sales (86.7%).

8.1.9 Has a view

In simple terms
The MLS says the home looks over something: a greenbelt or park, trees, golf course, hill country, water and similar.
Statistically
View = the View field holds any entry other than “None”, “Neighborhood” or “See Remarks”. No view = only “None” and/or “Neighborhood”. A record whose only entry is “See Remarks” cannot be classified and is left out of the view slice.
The data
1 sales with a view, 13 without, 1 unclassified. Most common View entries: None 9, Neighborhood 5, See Remarks 1, Park/Greenbelt 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 = Hutto, SubdivisionName contains any of “brooklands”, “brooklands sub” (case-insensitive). A record is kept when its subdivision name belongs to the Brooklands family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 22 closed Brooklands records over the prior year, in ZIP 78634. 7 subdivision spellings kept: Brooklands (15); Brooklands Sec 4 (2); Brooklands Sec 1 (1); Brooklands Sec Two (1); Brooklands Sub Sec 3 (1); Brooklands Sec 5 (1); Brooklands Sec 6 (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 12 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
22 single-family sales in the window: 15 resale, 7 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
15 resale; 7 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 $285K”.
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 $285K: $246,413–$283,000 (4 sales); $285K–$301K: $285,000–$301,050 (4 sales); $320K–$328K: $320,500–$328,250 (3 sales); Over $328K: $337,250–$433,000 (4 sales)
Quartiles by living area: Under 1,760 SF: 1,262–1,630 SF (4 sales); 1,760–1,885 SF: 1,760–1,885 SF (3 sales); 1,930–2,293 SF: 1,930–2,293 SF (4 sales); Over 2,293 SF: 2,474–3,231 SF (4 sales)
Groups by year built: Before 2021: 2020–2020 (3 sales); 2021–2022: 2021–2022 (7 sales); After 2022: 2023–2024 (5 sales)
View and no view: View: MLS lists a view (1 sales); No view: None or Neighborhood (13 sales)

8.2.6 Average and median

In simple terms
The average adds the values and divides by how many; one very expensive home can pull it up. The median is the middle value, with half above and half below.
Statistically
Mean x̄ = (1/n) Σ xᵢ; median = 50th percentile. Price, price per SF, living area and discount use the mean; days on market and year built use the median (skewed or whole-year values).
The data
Net sale price: average $320,283, median $301,050. Days on market: average 133, median 82: 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: 7 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 15 closed MLS resale sales; the 7 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.