ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Enclave At Brushy Creek Sec 01

Hutto, TX 78634
Resale homes · closed Nov 5 – Nov 4, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
November 5, 2026 · 4:35 PM CST
MARKET STUDY All analysis covers resale homes only. New construction appears once, in its own section. Click any dot on the map for that sale.
Resale sales, 365 days
15
single-family resale homes
Median net sale price
$314,750
average $358,423
Median net price per SF
$176
average $171
Median days on market
40 days
average 55 days
1. SummaryResale homes · 15 sales · November 5, 2025 – November 4, 2026

This study looks at the 15 resale homes sold in Enclave At Brushy Creek Sec 01 in the 365 days to November 4, 2026. A full year is used because only 9 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 $300K · 4 sales$300K–$315K · 4 sales$315K–$325K · 3 salesOver $325K · 4 sales
3. Quartiles by net sale priceResale homes · 15 sales · November 5, 2025 – November 4, 2026

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

2026-11-05T16:35:10.296893 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 4 3 4 15 sales Sales per group Under $300K: 4 sales (27%) $300K–$315K: 4 sales (27%) $315K–$325K: 3 sales (20%) Over $325K: 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

2026-11-05T16:35:10.324360 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $300K 4 sales $300K– $315K 4 sales $315K– $325K 3 sales Over $325K 4 sales $0 $100 $200 $177 $174 $163 $168 Net price per SF, average

The average is $168 per SF for homes over $325K and $177 per SF for homes under $300K. It does not move in a straight line; homes under $300K are highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-11-05T16:35:10.346130 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $300K 4 sales $300K– $315K 4 sales $315K– $325K 3 sales Over $325K 4 sales 0 1,000 2,000 3,000 1,581 1,782 2,002 3,126 Living area (SF), average

The average is 3,126 SF for homes over $325K and 1,581 SF for homes under $300K. 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

2026-11-05T16:35:10.369745 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $300K 4 sales $300K– $315K 4 sales $315K– $325K 3 sales Over $325K 4 sales 2006 2008 2010 2012 2009 2008 2005 2010 Year built: median (dot) and middle half (bar)

The median is 2010 for homes over $325K and 2009 for homes under $300K. It does not move in a straight line; homes over $325K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-11-05T16:35:10.391842 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $300K 4 sales $300K– $315K 4 sales $315K– $325K 3 sales Over $325K 4 sales 0 25 50 75 76 52 34 54 Days on market, median

The median is 54 days for homes over $325K and 76 days for homes under $300K. It does not move in a straight line; homes under $300K are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-11-05T16:35:10.414159 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $300K 4 sales $300K– $315K 4 sales $315K– $325K 3 sales Over $325K 4 sales 0.0% 5.0% 10.0% 9.6% 3.7% 4.3% 4.9% Discount from original list, average

The average is 4.9% for homes over $325K and 9.6% for homes under $300K. It does not move in a straight line; homes under $300K are highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-11-05T16:35:10.442971 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 25 75 0 33 67 0 50 75 25 Under $300K $300K–$315K $315K–$325K Over $325K

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

  • 50% of homes over $325K had a price cut before sale, against 75% of homes under $300K. Defined in 8.1.7.
  • 75% of homes over $325K had the seller pay closing costs or repairs, against 75% of homes under $300K. Defined in 8.1.8.
  • 25% of homes over $325K have a view, against 0% of homes under $300K. 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 $300K4 sales$300K–$315K4 sales$315K–$325K3 salesOver $325K4 salesAll15 sales
Net sale price average$275,488$308,325$320,033$520,250$358,423
Net price per SF average$177$174$163$168$171
Living area average1,5811,7822,0023,1262,131
Year built median20092008200520102007

3.10 The numbers: selling

Under $300K4 sales$300K–$315K4 sales$315K–$325K3 salesOver $325K4 salesAll15 sales
Days on market median7652345440
Discount from original list average9.6%3.7%4.3%4.9%5.7%
Price cut before sale75%25%33%50%47%
Seller paid closing costs or repairs75%75%67%75%73%
Has a view0%0%0%25%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. Groups by living areaResale homes · 15 sales · November 5, 2025 – November 4, 2026

Sales ranked by living area and cut into four equal groups, from the smallest homes to the largest. Only 3 groups are shown: homes here share a few living area values, and no group may hold fewer than 3 sales.

2026-11-05T16:35:10.461644 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 5 6 15 sales Sales per group Under 1,804 SF: 4 sales (27%) 1,804–1,809 SF: 5 sales (33%) Over 1,809 SF: 6 sales (40%)
Bottom line: too few sales to test.

4.1 Key differences

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

4.3 Net sale price: described, not tested

2026-11-05T16:35:10.480014 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,804 SF 4 sales 1,804– 1,809 SF 5 sales Over 1,809 SF 6 sales $0K $200K $400K $287K $304K $452K Net sale price, average

The average is $452K for homes over 1,809 SF and $287K for homes under 1,804 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

2026-11-05T16:35:10.500225 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,804 SF 4 sales 1,804– 1,809 SF 5 sales Over 1,809 SF 6 sales $0 $100 $200 $189 $168 $161 Net price per SF, average

The average is $161 per SF for homes over 1,809 SF and $189 per SF for homes under 1,804 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-11-05T16:35:10.521099 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,804 SF 4 sales 1,804– 1,809 SF 5 sales Over 1,809 SF 6 sales 2006 2008 2010 2012 2010 2005 2007 Year built: median (dot) and middle half (bar)

The median is 2007 for homes over 1,809 SF and 2010 for homes under 1,804 SF. It does not move in a straight line; homes under 1,804 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-11-05T16:35:10.540896 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,804 SF 4 sales 1,804– 1,809 SF 5 sales Over 1,809 SF 6 sales 0 50 100 104 27 45 Days on market, median

The median is 45 days for homes over 1,809 SF and 104 days for homes under 1,804 SF. It does not move in a straight line; homes under 1,804 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-11-05T16:35:10.561260 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,804 SF 4 sales 1,804– 1,809 SF 5 sales Over 1,809 SF 6 sales 0.0% 5.0% 10.0% 8.9% 3.7% 5.3% Discount from original list, average

The average is 5.3% for homes over 1,809 SF and 8.9% for homes under 1,804 SF. It does not move in a straight line; homes under 1,804 SF are highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-11-05T16:35:10.583786 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 20 60 0 50 83 17 Under 1,804 SF 1,804–1,809 SF Over 1,809 SF

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

  • 50% of homes over 1,809 SF had a price cut before sale, against 75% of homes under 1,804 SF. Defined in 8.1.7.
  • 83% of homes over 1,809 SF had the seller pay closing costs or repairs, against 75% of homes under 1,804 SF. Defined in 8.1.8.
  • 17% of homes over 1,809 SF have a view, against 0% of homes under 1,804 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 1,804 SF4 sales1,804–1,809 SF5 salesOver 1,809 SF6 salesAll15 sales
Net sale price average$286,988$303,530$451,792$358,423
Net price per SF average$189$168$161$171
Living area average1,5251,8082,8042,131
Year built median2010200520072007

4.10 The numbers: selling

Under 1,804 SF4 sales1,804–1,809 SF5 salesOver 1,809 SF6 salesAll15 sales
Days on market median104274540
Discount from original list average8.9%3.7%5.3%5.7%
Price cut before sale75%20%50%47%
Seller paid closing costs or repairs75%60%83%73%
Has a view0%0%17%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 · November 5, 2025 – November 4, 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.

2026-11-05T16:35:10.601423 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 5 4 15 sales Sales per group Before 2006: 6 sales (40%) 2006–2010: 5 sales (33%) After 2010: 4 sales (27%)
Bottom line: too few sales to test.

5.1 Key differences

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

5.3 Net sale price: described, not tested

2026-11-05T16:35:10.620306 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2006 6 sales 2006– 2010 5 sales After 2010 4 sales $0K $200K $400K $310K $323K $475K Net sale price, average

The average is $475K for homes built after 2010 and $310K for homes built before 2006. 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

2026-11-05T16:35:10.639322 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2006 6 sales 2006– 2010 5 sales After 2010 4 sales $0 $100 $200 $162 $158 $200 Net price per SF, average

The average is $200 per SF for homes built after 2010 and $162 per SF for homes built before 2006. It does not move in a straight line; homes built after 2010 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-11-05T16:35:10.659617 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2006 6 sales 2006– 2010 5 sales After 2010 4 sales 0 1,000 2,000 1,926 2,218 2,329 Living area (SF), average

The average is 2,329 SF for homes built after 2010 and 1,926 SF for homes built before 2006. 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

2026-11-05T16:35:10.678299 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2006 6 sales 2006– 2010 5 sales After 2010 4 sales 0 20 40 60 30 58 64 Days on market, median

The median is 64 days for homes built after 2010 and 30 days for homes built before 2006. 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

2026-11-05T16:35:10.698416 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2006 6 sales 2006– 2010 5 sales After 2010 4 sales 0.0% 2.5% 5.0% 7.5% 4.3% 6.5% 6.8% Discount from original list, average

The average is 6.8% for homes built after 2010 and 4.3% for homes built before 2006. It rises step by step from the lowest range to the highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-11-05T16:35:10.722011 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% 33 67 0 60 80 0 50 75 25 Before 2006 2006–2010 After 2010

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

  • 50% of homes built after 2010 had a price cut before sale, against 33% of homes built before 2006. Defined in 8.1.7.
  • 75% of homes built after 2010 had the seller pay closing costs or repairs, against 67% of homes built before 2006. Defined in 8.1.8.
  • 25% of homes built after 2010 have a view, against 0% of homes built before 2006. 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 20066 sales2006–20105 salesAfter 20104 salesAll15 sales
Net sale price average$310,067$323,000$475,238$358,423
Net price per SF average$162$158$200$171
Living area average1,9262,2182,3292,131
Year built median2005200820122007

5.10 The numbers: selling

Before 20066 sales2006–20105 salesAfter 20104 salesAll15 sales
Days on market median30586440
Discount from original list average4.3%6.5%6.8%5.7%
Price cut before sale33%60%50%47%
Seller paid closing costs or repairs67%80%75%73%
Has a view0%0%25%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 · November 5, 2025 – November 4, 2026

Sales where the MLS lists a view (greenbelt or park, trees, golf course, hill country, water and similar) against those listing none or only the neighborhood.

2026-11-05T16:35:10.738643 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 1 14 15 sales Sales per group View: 1 sales (7%) No view: 14 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

2026-11-05T16:35:10.753888 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 14 sales $0K $200K $400K $600K $580K $343K Net sale price, average

The average is $580K for homes with a view and $343K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-11-05T16:35:10.772103 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 14 sales $0 $100 $200 $228 $167 Net price per SF, average

The average is $228 per SF for homes with a view and $167 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-11-05T16:35:10.788644 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 14 sales 0 1,000 2,000 3,000 2,539 2,102 Living area (SF), average

The average is 2,539 SF for homes with a view and 2,102 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-11-05T16:35:10.807019 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 14 sales 2006 2008 2010 2012 2013 2006 Year built: median (dot) and middle half (bar)

The median is 2013 for homes with a view and 2006 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-11-05T16:35:10.847193 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 14 sales 0 20 40 60 50 37 Days on market, median

The median is 50 days for homes with a view and 37 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

2026-11-05T16:35:10.865648 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 14 sales 0.0% 2.0% 4.0% 6.0% 8.0% 7.2% 5.6% Discount from original list, average

The average is 7.2% for homes with a view and 5.6% 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

2026-11-05T16:35:10.884137 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 100 0 43 79 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 43% of homes without a view. Defined in 8.1.7.
  • 0% of homes with a view had the seller pay closing costs or repairs, against 79% 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 view14 salesAll15 sales
Net sale price average$580,000$342,596$358,423
Net price per SF average$228$167$171
Living area average2,5392,1022,131
Year built median201320062007

6.11 The numbers: selling

View1 salesNo view14 salesAll15 sales
Days on market median503740
Discount from original list average7.2%5.6%5.7%
Price cut before sale100%43%47%
Seller paid closing costs or repairs0%79%73%

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.4.

7. New constructionBasic statistics · 0 sales · November 5, 2025 – November 4, 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 Enclave At Brushy Creek Sec 01.

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
15 resale sales. Average $358,423; median $314,750; standard deviation $134,081; middle half (25th–75th percentile) $293,500–$348,000; lowest $259,000, highest $758,000. 11 sales had a seller payment; their median payment was $8,000.

8.1.2 Net price per SF

In simple terms
Net sale price divided by the heated and cooled square feet. It puts homes of different sizes on the same footing: did buyers pay more for each square foot, not just for more square feet?
Statistically
psf = Net ÷ LivingArea, per sale; summarized by the mean of the per-sale ratios.
The data
15 resale sales. Average $171; median $176; standard deviation $32; middle half (25th–75th percentile) $157–$191; lowest $115, highest $228.

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 2,131; median 1,809; standard deviation 695; middle half (25th–75th percentile) 1,790–2,464; lowest 1,329, highest 3,589.

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 2008; median 2007; standard deviation 3; middle half (25th–75th percentile) 2005–2010; lowest 2004, highest 2014.

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 55; median 40; standard deviation 51; middle half (25th–75th percentile) 17–80; lowest 4, highest 189. 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 5.7%; median 4.8%; standard deviation 4.3%; middle half (25th–75th percentile) 3.1%–7.9%; lowest −1.6%, highest 13.7%. 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
7 of 15 resale sales (46.7%).

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
11 of 15 resale sales (73.3%).

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
1 sales with a view, 14 without, 0 unclassified. Most common View entries: None 9, Neighborhood 5, Creek/Stream 1, Trees/Woods 1.

8.2 Methods

8.2.1 Data source

In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
ABOR MLS via secure APIs, read from ALEX's copy of the MLS (refreshed every 15 minutes; this pull as of 2026-11-05 22:30 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Hutto, SubdivisionName contains any of “enclave at brushy creek”, “enclave brushy creek”, “enclave/brushy crk”, “enclave brushy crk” (case-insensitive). A record is kept when its subdivision name belongs to the Enclave At Brushy Creek Sec 01 family, the same rule comparable sales use (it includes Enclave/Brushy Crk Sec 01, proven adjacent and priced alike).
The data
Pulled November 5, 2026: 15 closed Enclave At Brushy Creek Sec 01 records over the prior year, in ZIP 78634. 7 subdivision spellings kept: Enclave At Brushy Creek Sec 01 (5); Enclave/Brushy Crk Sec 01 (3); Enclave At Brushy Creek Sec 03 (2); Enclave/Brushy Crk Sec 03 (2); ENCLAVE AT BRUSHY CREEK (1); Enclave At Brushy Creek (1); Enclave At Brushy Creek Sec 02 (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 9 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from November 5, 2025 to November 4, 2026 inclusive.
The data
15 single-family sales in the window: 15 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
15 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 $300K”.
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 $300K: $259,000–$287,000 (4 sales); $300K–$315K: $300,000–$314,750 (4 sales); $315K–$325K: $315,000–$325,000 (3 sales); Over $325K: $371,000–$758,000 (4 sales)
Groups by living area: Under 1,804 SF: 1,329–1,777 SF (4 sales); 1,804–1,809 SF: 1,804–1,809 SF (5 sales); Over 1,809 SF: 1,933–3,589 SF (6 sales)
Groups by year built: Before 2006: 2004–2005 (6 sales); 2006–2010: 2006–2010 (5 sales); After 2010: 2011–2014 (4 sales)
View and no view: View: MLS lists a view (1 sales); No view: None or Neighborhood (14 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 $358,423, median $314,750. Days on market: average 55, median 40: 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 Groups 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 15 closed MLS resale sales; the 0 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled November 5, 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.