ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Hutto Square

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
17
single-family resale homes
Median net sale price
$300,000
average $320,804
Median net price per SF
$166
average $164
Median days on market
28 days
average 55 days
1. SummaryResale homes · 17 sales · October 26, 2025 – October 25, 2026

This study looks at the 17 resale homes sold in Hutto Square 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 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 $271K · 4 sales$271K–$288K · 4 sales$300K–$374K · 5 salesOver $374K · 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.

2026-10-26T05:08:37.882695 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 4 5 4 17 sales Sales per group Under $271K: 4 sales (24%) $271K–$288K: 4 sales (24%) $300K–$374K: 5 sales (29%) Over $374K: 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

2026-10-26T05:08:37.910126 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $271K 4 sales $271K– $288K 4 sales $300K– $374K 5 sales Over $374K 4 sales $0 $100 $200 $164 $180 $145 $173 Net price per SF, average

The average is $173 per SF for homes over $374K and $164 per SF for homes under $271K. It does not move in a straight line; homes $271K–$288K are highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-10-26T05:08:37.932258 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $271K 4 sales $271K– $288K 4 sales $300K– $374K 5 sales Over $374K 4 sales 0 1,000 2,000 1,610 1,563 2,429 2,330 Living area (SF), average

The average is 2,330 SF for homes over $374K and 1,610 SF for homes under $271K. It does not move in a straight line; homes $300K–$374K are highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-10-26T05:08:37.955800 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $271K 4 sales $271K– $288K 4 sales $300K– $374K 5 sales Over $374K 4 sales 2008 2012 2016 2020 2008 2009 2007 2020 Year built: median (dot) and middle half (bar)

The median is 2020 for homes over $374K and 2008 for homes under $271K. It does not move in a straight line; homes over $374K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-10-26T05:08:37.978188 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $271K 4 sales $271K– $288K 4 sales $300K– $374K 5 sales Over $374K 4 sales 0 20 40 60 26 20 51 45 Days on market, median

The median is 45 days for homes over $374K and 26 days for homes under $271K. It does not move in a straight line; homes $300K–$374K are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-10-26T05:08:37.999568 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $271K 4 sales $271K– $288K 4 sales $300K– $374K 5 sales Over $374K 4 sales 0.0% 5.0% 10.0% 1.9% 5.3% 10.0% 4.3% Discount from original list, average

The average is 4.3% for homes over $374K and 1.9% for homes under $271K. It does not move in a straight line; homes $300K–$374K 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

2026-10-26T05:08:38.028182 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 0 0 50 75 0 60 60 60 50 75 50 Under $271K $271K–$288K $300K–$374K Over $374K

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

  • 50% of homes over $374K had a price cut before sale, against 25% of homes under $271K. Defined in 8.1.7.
  • 75% of homes over $374K had the seller pay closing costs or repairs, against 0% of homes under $271K. Defined in 8.1.8.
  • 50% of homes over $374K have a view, against 0% of homes under $271K. 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 $271K4 sales$271K–$288K4 sales$300K–$374K5 salesOver $374K4 salesAll17 sales
Net sale price average$260,375$277,880$341,970$397,700$320,804
Net price per SF average$164$180$145$173$164
Living area average1,6101,5632,4292,3302,009
Year built median20082009200720202009

3.10 The numbers: selling

Under $271K4 sales$271K–$288K4 sales$300K–$374K5 salesOver $374K4 salesAll17 sales
Days on market median2620514528
Discount from original list average1.9%5.3%10.0%4.3%5.7%
Price cut before sale25%50%60%50%47%
Seller paid closing costs or repairs0%75%60%75%53%
Has a view0%0%60%50%29%

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.

2026-10-26T05:08:38.048037 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 4 5 4 17 sales Sales per group Under 1,589 SF: 4 sales (24%) 1,589–1,888 SF: 4 sales (24%) 1,995–2,252 SF: 5 sales (29%) Over 2,252 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

2026-10-26T05:08:38.067916 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,589 SF 4 sales 1,589– 1,888 SF 4 sales 1,995– 2,252 SF 5 sales Over 2,252 SF 4 sales $0K $200K $400K $270K $268K $369K $364K Net sale price, average

The average is $364K for homes over 2,252 SF and $270K for homes under 1,589 SF. It does not move in a straight line; homes 1,995–2,252 SF are highest. Defined in 8.1.1.

Not tested: too few sales.

4.4 Net price per SF: described, not tested

2026-10-26T05:08:38.089716 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,589 SF 4 sales 1,589– 1,888 SF 4 sales 1,995– 2,252 SF 5 sales Over 2,252 SF 4 sales $0 $100 $200 $189 $155 $176 $134 Net price per SF, average

The average is $134 per SF for homes over 2,252 SF and $189 per SF for homes under 1,589 SF. It does not move in a straight line; homes under 1,589 SF are highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-10-26T05:08:38.112761 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,589 SF 4 sales 1,589– 1,888 SF 4 sales 1,995– 2,252 SF 5 sales Over 2,252 SF 4 sales 2008 2012 2016 2020 2009 2008 2020 2014 Year built: median (dot) and middle half (bar)

The median is 2014 for homes over 2,252 SF and 2009 for homes under 1,589 SF. It does not move in a straight line; homes 1,995–2,252 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-10-26T05:08:38.135345 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,589 SF 4 sales 1,589– 1,888 SF 4 sales 1,995– 2,252 SF 5 sales Over 2,252 SF 4 sales 0 25 50 75 24 47 74 32 Days on market, median

The median is 32 days for homes over 2,252 SF and 24 days for homes under 1,589 SF. It does not move in a straight line; homes 1,995–2,252 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-10-26T05:08:38.157617 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,589 SF 4 sales 1,589– 1,888 SF 4 sales 1,995– 2,252 SF 5 sales Over 2,252 SF 4 sales 0.0% 2.5% 5.0% 7.5% 2.7% 4.5% 7.0% 8.0% Discount from original list, average

The average is 8.0% for homes over 2,252 SF and 2.7% for homes under 1,589 SF. It rises step by step from the lowest range to the 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

2026-10-26T05:08:38.183245 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 25 0 50 50 0 60 60 60 50 75 50 Under 1,589 SF 1,589–1,888 SF 1,995–2,252 SF Over 2,252 SF

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

  • 50% of homes over 2,252 SF had a price cut before sale, against 25% of homes under 1,589 SF. Defined in 8.1.7.
  • 75% of homes over 2,252 SF had the seller pay closing costs or repairs, against 25% of homes under 1,589 SF. Defined in 8.1.8.
  • 50% of homes over 2,252 SF have a view, against 0% of homes under 1,589 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 1,589 SF4 sales1,589–1,888 SF4 sales1,995–2,252 SF5 salesOver 2,252 SF4 salesAll17 sales
Net sale price average$270,125$268,130$368,850$364,100$320,804
Net price per SF average$189$155$176$134$164
Living area average1,4341,7392,0962,7472,009
Year built median20092008202020142009

4.10 The numbers: selling

Under 1,589 SF4 sales1,589–1,888 SF4 sales1,995–2,252 SF5 salesOver 2,252 SF4 salesAll17 sales
Days on market median2447743228
Discount from original list average2.7%4.5%7.0%8.0%5.7%
Price cut before sale25%50%60%50%47%
Seller paid closing costs or repairs25%50%60%75%53%
Has a view0%0%60%50%29%

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

5. Quartiles by year builtResale homes · 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.

2026-10-26T05:08:38.202734 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 3 6 4 17 sales Sales per group Before 2007: 4 sales (24%) 2007–2008: 3 sales (18%) 2009–2019: 6 sales (35%) After 2019: 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

2026-10-26T05:08:38.222518 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2007 4 sales 2007– 2008 3 sales 2009– 2019 6 sales After 2019 4 sales $0K $200K $400K $301K $318K $288K $393K Net sale price, average

The average is $393K for homes built after 2019 and $301K for homes built before 2007. It does not move in a straight line; homes built after 2019 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T05:08:38.244404 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2007 4 sales 2007– 2008 3 sales 2009– 2019 6 sales After 2019 4 sales $0 $100 $200 $160 $137 $172 $177 Net price per SF, average

The average is $177 per SF for homes built after 2019 and $160 per SF for homes built before 2007. It does not move in a straight line; homes built after 2019 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T05:08:38.265630 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2007 4 sales 2007– 2008 3 sales 2009– 2019 6 sales After 2019 4 sales 0 1,000 2,000 1,874 2,476 1,711 2,242 Living area (SF), average

The average is 2,242 SF for homes built after 2019 and 1,874 SF for homes built before 2007. It does not move in a straight line; homes built 2007–2008 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T05:08:38.286357 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2007 4 sales 2007– 2008 3 sales 2009– 2019 6 sales After 2019 4 sales 0 20 40 60 51 11 24 64 Days on market, median

The median is 64 days for homes built after 2019 and 51 days for homes built before 2007. It does not move in a straight line; homes built after 2019 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T05:08:38.308969 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2007 4 sales 2007– 2008 3 sales 2009– 2019 6 sales After 2019 4 sales 0.0% 2.5% 5.0% 7.5% 4.2% 7.6% 5.8% 5.4% Discount from original list, average

The average is 5.4% for homes built after 2019 and 4.2% for homes built before 2007. It does not move in a straight line; homes built 2007–2008 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

2026-10-26T05:08:38.333719 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 25 50 25 33 67 67 50 50 0 75 50 50 Before 2007 2007–2008 2009–2019 After 2019

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

  • 75% of homes built after 2019 had a price cut before sale, against 25% of homes built before 2007. Defined in 8.1.7.
  • 50% of homes built after 2019 had the seller pay closing costs or repairs, against 50% of homes built before 2007. Defined in 8.1.8.
  • 50% of homes built after 2019 have a view, against 25% of homes built before 2007. 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 20074 sales2007–20083 sales2009–20196 salesAfter 20194 salesAll17 sales
Net sale price average$300,587$317,667$287,670$393,075$320,804
Net price per SF average$160$137$172$177$164
Living area average1,8742,4761,7112,2422,009
Year built median20062007200920212009

5.10 The numbers: selling

Before 20074 sales2007–20083 sales2009–20196 salesAfter 20194 salesAll17 sales
Days on market median5111246428
Discount from original list average4.2%7.6%5.8%5.4%5.7%
Price cut before sale25%33%50%75%47%
Seller paid closing costs or repairs50%67%50%50%53%
Has a view25%67%0%50%29%

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.

2026-10-26T05:08:38.351164 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 12 17 sales Sales per group View: 5 sales (29%) No view: 12 sales (71%)
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$354K$307Kunclear
Net price per SF$154 per SF$169 per SFunclear
Living area2,401 SF1,846 SFunclear
Year built20082009unclear
Days on market51 days28 daysunclear
Discount from original list8.8%4.3%unclear
Price cut before sale60%42%unclear
Seller paid closing costs or repairs60%50%unclear

6.3 Net sale price: no clear difference

2026-10-26T05:08:38.367500 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 12 sales $0K $100K $200K $300K $400K $354K $307K Net sale price, average

The average is $354K for homes with a view and $307K 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

2026-10-26T05:08:38.386001 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 12 sales $0 $50 $100 $150 $200 $154 $169 Net price per SF, average

The average is $154 per SF for homes with a view and $169 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

2026-10-26T05:08:38.428910 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 12 sales 0 1,000 2,000 2,401 1,846 Living area (SF), average

The average is 2,401 SF for homes with a view and 1,846 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-26T05:08:38.448603 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 12 sales 2008 2011 2014 2017 2020 2008 2009 Year built: median (dot) and middle half (bar)

The median is 2008 for homes with a view and 2009 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-26T05:08:38.466025 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 12 sales 0 20 40 60 51 28 Days on market, median

The median is 51 days for homes with a view and 28 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

2026-10-26T05:08:38.484970 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 12 sales 0.0% 2.5% 5.0% 7.5% 10.0% 8.8% 4.3% Discount from original list, average

The average is 8.8% for homes with a view and 4.3% 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

2026-10-26T05:08:38.503464 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 60 60 42 50 View No view

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

  • 60% of homes with a view had a price cut before sale, against 42% of homes without a view. Defined in 8.1.7.
  • 60% of homes with a view had the seller pay closing costs or repairs, against 50% of homes without a view. Defined in 8.1.8.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance

6.10 The numbers: price and size

View5 salesNo view12 salesAll17 salesReal difference?
Net sale price average$354,450$306,785$320,804unclear
Net price per SF average$154$169$164unclear
Living area average2,4011,8462,009unclear
Year built median200820092009unclear

6.11 The numbers: selling

View5 salesNo view12 salesAll17 salesReal difference?
Days on market median512828unclear
Discount from original list average8.8%4.3%5.7%unclear
Price cut before sale60%42%47%unclear
Seller paid closing costs or repairs60%50%53%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 Hutto Square.

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 $320,804; median $300,000; standard deviation $57,781; middle half (25th–75th percentile) $271,018–$374,500; lowest $244,500, highest $404,500. 9 sales had a seller payment; their median payment was $7,500.

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 $164; median $166; standard deviation $27; middle half (25th–75th percentile) $149–$192; lowest $96, highest $197.

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 2,009; median 1,995; standard deviation 510; middle half (25th–75th percentile) 1,589–2,252; lowest 1,362, highest 3,121.

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 2012; median 2009; standard deviation 6; middle half (25th–75th percentile) 2007–2019; lowest 2004, highest 2023.

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 55; median 28; standard deviation 59; middle half (25th–75th percentile) 13–74; lowest 3, highest 222. 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 5.7%; median 5.3%; standard deviation 5.7%; middle half (25th–75th percentile) 2.4%–6.7%; lowest −3.1%, highest 17.9%. 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
9 of 17 resale sales (52.9%).

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
5 sales with a view, 12 without, 0 unclassified. Most common View entries: Neighborhood 9, None 6, Trees/Woods 2, Park/Greenbelt 2, Pasture 1.

8.2 Methods

8.2.1 Data source

In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
Bridge Interactive RESO Web API (OData), ABOR dataset, every field returned. Filter: StandardStatus = Closed, PropertyType = Residential, City = Hutto, SubdivisionName contains any of “hutto square” (case-insensitive). A record is kept when its subdivision name belongs to the Hutto Square family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 17 closed Hutto Square records over the prior year, in ZIP 78634. 7 subdivision spellings kept: Hutto Square Sec 01 (5); Hutto Square Sec 02 (4); Hutto Square Sec 03 (3); Hutto Square Sec 5B (2); Hutto Square Sec Sa (1); HUTTO SQUARE (1); Hutto Square 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
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 $271K”.
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 $271K: $244,500–$269,000 (4 sales); $271K–$288K: $271,018–$288,000 (4 sales); $300K–$374K: $300,000–$374,500 (5 sales); Over $374K: $393,000–$404,500 (4 sales)
Quartiles by living area: Under 1,589 SF: 1,362–1,554 SF (4 sales); 1,589–1,888 SF: 1,589–1,888 SF (4 sales); 1,995–2,252 SF: 1,995–2,252 SF (5 sales); Over 2,252 SF: 2,546–3,121 SF (4 sales)
Quartiles by year built: Before 2007: 2004–2006 (4 sales); 2007–2008: 2007–2008 (3 sales); 2009–2019: 2009–2019 (6 sales); After 2019: 2020–2023 (4 sales)
View and no view: View: MLS lists a view (5 sales); No view: None or Neighborhood (12 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 $320,804, median $300,000. Days on market: average 55, median 28: the average is pulled up by a few long listings.

8.2.7 Kruskal–Wallis test

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

8.2.8 Mann–Whitney U test

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

8.2.9 Chi-square test

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

8.2.10 Real difference (significance)

In simple terms
“Real difference” means a gap this large would be very unlikely if the groups were really alike. Because many measures are checked in each slice, the bar is set higher than usual.
Statistically
Significant when p < 0.05 ÷ m, where m is the number of measures tested in that slice (Bonferroni; Dunn, 1961). The slicing variable itself differs by design and is not tested.
The data
View and no view: m = 8, threshold p < 0.0063

8.2.11 Size of a difference

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

8.2.12 Rounding in the text

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

8.3 Test results

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

8.3.1 Quartiles by net sale price

Too few sales in a group to test.

8.3.2 Quartiles by living area

Too few sales in a group to test.

8.3.3 Quartiles by year built

Too few sales in a group to test.

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 48.00—0.0637p < 0.0063Unclearrank-biserial r = 0.600large
Net price per SFMann–Whitney UU = 22.00—0.4421p < 0.0063Unclearrank-biserial r = 0.267small
Living areaMann–Whitney UU = 49.00—0.0485p < 0.0063Unclearrank-biserial r = 0.633large
Year builtMann–Whitney UU = 31.50—0.9152p < 0.0063Unclearrank-biserial r = 0.050negligible
Days on marketMann–Whitney UU = 31.50—0.9159p < 0.0063Unclearrank-biserial r = 0.050negligible
Discount from original listMann–Whitney UU = 36.50—0.5268p < 0.0063Unclearrank-biserial r = 0.217small
Price cut before saleChi-squareχ² = 0.4810.4902p < 0.0063UnclearCramér’s V = 0.167small
Seller paid closing costs or repairsChi-squareχ² = 0.1410.7066p < 0.0063UnclearCramér’s V = 0.091negligible

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.