ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Hidden Glen

Round Rock, TX 78681
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 · 4:54 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
$779,500
average $761,793
Median net price per SF
$212
average $210
Median days on market
83 days
average 104 days
1. SummaryResale homes · 15 sales · November 5, 2025 – November 4, 2026

This study looks at the 15 resale homes sold in Hidden Glen 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 $725K · 4 sales$725K–$780K · 4 sales$800K–$806K · 3 salesOver $806K · 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.

2026-11-05T16:54:55.145137 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 4 3 4 15 sales Sales per group Under $725K: 4 sales (27%) $725K–$780K: 4 sales (27%) $800K–$806K: 3 sales (20%) Over $806K: 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

2026-11-05T16:54:55.172912 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $725K 4 sales $725K– $780K 4 sales $800K– $806K 3 sales Over $806K 4 sales $0 $100 $200 $202 $202 $212 $226 Net price per SF, average

The average is $226 per SF for homes over $806K and $202 per SF for homes under $725K. It does not move in a straight line; homes over $806K are highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-11-05T16:54:55.194700 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $725K 4 sales $725K– $780K 4 sales $800K– $806K 3 sales Over $806K 4 sales 0 2,000 4,000 3,165 3,779 3,789 3,846 Living area (SF), average

The average is 3,846 SF for homes over $806K and 3,165 SF for homes under $725K. 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

2026-11-05T16:54:55.217228 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $725K 4 sales $725K– $780K 4 sales $800K– $806K 3 sales Over $806K 4 sales 2002 2004 2006 2003 2004 2007 2004 Year built: median (dot) and middle half (bar)

The median is 2004 for homes over $806K and 2003 for homes under $725K. It does not move in a straight line; homes $800K–$806K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-11-05T16:54:55.238762 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $725K 4 sales $725K– $780K 4 sales $800K– $806K 3 sales Over $806K 4 sales 0 50 100 150 160 142 87 32 Days on market, median

The median is 32 days for homes over $806K and 160 days for homes under $725K. It falls step by step from the lowest range to the highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-11-05T16:54:55.261514 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $725K 4 sales $725K– $780K 4 sales $800K– $806K 3 sales Over $806K 4 sales 0.0% 2.5% 5.0% 7.5% 3.5% 7.9% 5.3% 4.1% Discount from original list, average

The average is 4.1% for homes over $806K and 3.5% for homes under $725K. It does not move in a straight line; homes $725K–$780K 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

2026-11-05T16:54:55.290194 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 50 25 100 75 0 67 33 33 25 75 100 Under $725K $725K–$780K $800K–$806K Over $806K

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

  • 25% of homes over $806K had a price cut before sale, against 100% of homes under $725K. Defined in 8.1.7.
  • 75% of homes over $806K had the seller pay closing costs or repairs, against 50% of homes under $725K. Defined in 8.1.8.
  • 100% of homes over $806K have a view, against 25% of homes under $725K. 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 $725K4 sales$725K–$780K4 sales$800K–$806K3 salesOver $806K4 salesAll15 sales
Net sale price average$629,512$761,125$803,200$863,688$761,793
Net price per SF average$202$202$212$226$210
Living area average3,1653,7793,7893,8463,635
Year built median20032004200720042004

3.10 The numbers: selling

Under $725K4 sales$725K–$780K4 sales$800K–$806K3 salesOver $806K4 salesAll15 sales
Days on market median160142873283
Discount from original list average3.5%7.9%5.3%4.1%5.2%
Price cut before sale100%100%67%25%73%
Seller paid closing costs or repairs50%75%33%75%60%
Has a view25%0%33%100%40%

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 · November 5, 2025 – November 4, 2026

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

2026-11-05T16:54:55.310769 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 4 3 4 15 sales Sales per group Under 3,499 SF: 4 sales (27%) 3,499–3,721 SF: 4 sales (27%) 3,771–3,909 SF: 3 sales (20%) Over 3,909 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

2026-11-05T16:54:55.331042 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 3,499 SF 4 sales 3,499– 3,721 SF 4 sales 3,771– 3,909 SF 3 sales Over 3,909 SF 4 sales $0K $250K $500K $750K $665K $792K $793K $805K Net sale price, average

The average is $805K for homes over 3,909 SF and $665K for homes under 3,499 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

2026-11-05T16:54:55.353725 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 3,499 SF 4 sales 3,499– 3,721 SF 4 sales 3,771– 3,909 SF 3 sales Over 3,909 SF 4 sales $0 $100 $200 $221 $217 $206 $196 Net price per SF, average

The average is $196 per SF for homes over 3,909 SF and $221 per SF for homes under 3,499 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

2026-11-05T16:54:55.376606 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 3,499 SF 4 sales 3,499– 3,721 SF 4 sales 3,771– 3,909 SF 3 sales Over 3,909 SF 4 sales 2002 2004 2006 2008 2004 2002 2007 2006 Year built: median (dot) and middle half (bar)

The median is 2006 for homes over 3,909 SF and 2004 for homes under 3,499 SF. It does not move in a straight line; homes 3,771–3,909 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-11-05T16:54:55.399366 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 3,499 SF 4 sales 3,499– 3,721 SF 4 sales 3,771– 3,909 SF 3 sales Over 3,909 SF 4 sales 0 50 100 62 78 122 94 Days on market, median

The median is 94 days for homes over 3,909 SF and 62 days for homes under 3,499 SF. It does not move in a straight line; homes 3,771–3,909 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-11-05T16:54:55.420682 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 3,499 SF 4 sales 3,499– 3,721 SF 4 sales 3,771– 3,909 SF 3 sales Over 3,909 SF 4 sales 0.0% 2.0% 4.0% 6.0% 5.0% 4.4% 6.4% 5.2% Discount from original list, average

The average is 5.2% for homes over 3,909 SF and 5.0% for homes under 3,499 SF. It does not move in a straight line; homes 3,771–3,909 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

2026-11-05T16:54:55.446046 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 50 50 75 50 25 67 67 33 50 75 50 Under 3,499 SF 3,499–3,721 SF 3,771–3,909 SF Over 3,909 SF

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

  • 50% of homes over 3,909 SF had a price cut before sale, against 100% of homes under 3,499 SF. Defined in 8.1.7.
  • 75% of homes over 3,909 SF had the seller pay closing costs or repairs, against 50% of homes under 3,499 SF. Defined in 8.1.8.
  • 50% of homes over 3,909 SF have a view, against 50% of homes under 3,499 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 3,499 SF4 sales3,499–3,721 SF4 sales3,771–3,909 SF3 salesOver 3,909 SF4 salesAll15 sales
Net sale price average$664,512$792,250$793,200$805,062$761,793
Net price per SF average$221$217$206$196$210
Living area average3,0033,6413,8544,0973,635
Year built median20042002200720062004

4.10 The numbers: selling

Under 3,499 SF4 sales3,499–3,721 SF4 sales3,771–3,909 SF3 salesOver 3,909 SF4 salesAll15 sales
Days on market median62781229483
Discount from original list average5.0%4.4%6.4%5.2%5.2%
Price cut before sale100%75%67%50%73%
Seller paid closing costs or repairs50%50%67%75%60%
Has a view50%25%33%50%40%

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.

2026-11-05T16:54:55.465196 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 6 5 15 sales Sales per group Before 2003: 4 sales (27%) 2003–2005: 6 sales (40%) After 2005: 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

2026-11-05T16:54:55.483272 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2003 4 sales 2003– 2005 6 sales After 2005 5 sales $0K $250K $500K $750K $710K $756K $810K Net sale price, average

The average is $810K for homes built after 2005 and $710K for homes built before 2003. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-11-05T16:54:55.503142 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2003 4 sales 2003– 2005 6 sales After 2005 5 sales $0 $100 $200 $198 $222 $206 Net price per SF, average

The average is $206 per SF for homes built after 2005 and $198 per SF for homes built before 2003. It does not move in a straight line; homes built 2003–2005 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-11-05T16:54:55.522694 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2003 4 sales 2003– 2005 6 sales After 2005 5 sales 0 2,000 4,000 3,596 3,414 3,931 Living area (SF), average

The average is 3,931 SF for homes built after 2005 and 3,596 SF for homes built before 2003. It does not move in a straight line; homes built after 2005 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-11-05T16:54:55.541647 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2003 4 sales 2003– 2005 6 sales After 2005 5 sales 0 50 100 122 48 87 Days on market, median

The median is 87 days for homes built after 2005 and 122 days for homes built before 2003. It does not move in a straight line; homes built before 2003 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-11-05T16:54:55.561435 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2003 4 sales 2003– 2005 6 sales After 2005 5 sales 0.0% 2.5% 5.0% 7.5% 2.7% 5.0% 7.3% Discount from original list, average

The average is 7.3% for homes built after 2005 and 2.7% for homes built before 2003. 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

2026-11-05T16:54:55.584629 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 50 0 67 67 83 60 60 20 Before 2003 2003–2005 After 2005

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

  • 60% of homes built after 2005 had a price cut before sale, against 100% of homes built before 2003. Defined in 8.1.7.
  • 60% of homes built after 2005 had the seller pay closing costs or repairs, against 50% of homes built before 2003. Defined in 8.1.8.
  • 20% of homes built after 2005 have a view, against 0% of homes built before 2003. Defined in 8.1.9.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.
Has a view: Not tested: too few sales.

5.9 The numbers: price and size

Before 20034 sales2003–20056 salesAfter 20055 salesAll15 sales
Net sale price average$710,000$755,983$810,200$761,793
Net price per SF average$198$222$206$210
Living area average3,5963,4143,9313,635
Year built median2002200420082004

5.10 The numbers: selling

Before 20034 sales2003–20056 salesAfter 20055 salesAll15 sales
Days on market median122488783
Discount from original list average2.7%5.0%7.3%5.2%
Price cut before sale100%67%60%73%
Seller paid closing costs or repairs50%67%60%60%
Has a view0%83%20%40%

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.

2026-11-05T16:54:55.600704 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 9 15 sales Sales per group View: 6 sales (40%) No view: 9 sales (60%)
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$814K$727Kunclear
Net price per SF$221 per SF$203 per SFunclear
Living area3,696 SF3,594 SFunclear
Year built20042005unclear
Days on market48 days87 daysunclear
Discount from original list5.2%5.2%unclear
Price cut before sale50%89%unclear
Seller paid closing costs or repairs67%56%unclear

6.3 Net sale price: no clear difference

2026-11-05T16:54:55.617553 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 6 sales No view 9 sales $0K $200K $400K $600K $800K $814K $727K Net sale price, average

The average is $814K for homes with a view and $727K 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

2026-11-05T16:54:55.635322 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 6 sales No view 9 sales $0 $100 $200 $221 $203 Net price per SF, average

The average is $221 per SF for homes with a view and $203 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

2026-11-05T16:54:55.652900 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 6 sales No view 9 sales 0 1,000 2,000 3,000 4,000 3,696 3,594 Living area (SF), average

The average is 3,696 SF for homes with a view and 3,594 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-11-05T16:54:55.671376 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 6 sales No view 9 sales 2002 2004 2006 2004 2005 Year built: median (dot) and middle half (bar)

The median is 2004 for homes with a view and 2005 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-11-05T16:54:55.710425 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 6 sales No view 9 sales 0 25 50 75 100 48 87 Days on market, median

The median is 48 days for homes with a view and 87 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

2026-11-05T16:54:55.727907 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 6 sales No view 9 sales 0.0% 2.0% 4.0% 6.0% 5.2% 5.2% Discount from original list, average

The average is 5.2% for homes with a view and 5.2% 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

2026-11-05T16:54:55.746470 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 50 67 89 56 View No view

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

  • 50% of homes with a view had a price cut before sale, against 89% of homes without a view. Defined in 8.1.7.
  • 67% of homes with a view had the seller pay closing costs or repairs, against 56% 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

View6 salesNo view9 salesAll15 salesReal difference?
Net sale price average$813,808$727,117$761,793unclear
Net price per SF average$221$203$210unclear
Living area average3,6963,5943,635unclear
Year built median200420052004unclear

6.11 The numbers: selling

View6 salesNo view9 salesAll15 salesReal difference?
Days on market median488783unclear
Discount from original list average5.2%5.2%5.2%unclear
Price cut before sale50%89%73%unclear
Seller paid closing costs or repairs67%56%60%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 · 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 Hidden Glen.

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 $761,793; median $779,500; standard deviation $97,727; middle half (25th–75th percentile) $717,500–$821,125; lowest $548,050, highest $895,000. 9 sales had a seller payment; their median payment was $5,500.

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
15 resale sales. Average $210; median $212; standard deviation $17; middle half (25th–75th percentile) $204–$215; lowest $174, highest $247.

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 3,635; median 3,721; standard deviation 473; middle half (25th–75th percentile) 3,470–3,972; lowest 2,496, highest 4,187.

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 2005; median 2004; standard deviation 3; middle half (25th–75th percentile) 2002–2007; lowest 2001, highest 2009.

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 104; median 83; standard deviation 76; middle half (25th–75th percentile) 48–164; lowest 13, highest 246. 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 5.2%; median 4.7%; standard deviation 3.4%; middle half (25th–75th percentile) 3.3%–6.5%; lowest −1.6%, highest 13.4%. 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
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
9 of 15 resale sales (60.0%).

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
6 sales with a view, 9 without, 0 unclassified. Most common View entries: None 8, Trees/Woods 3, Park/Greenbelt 3, Neighborhood 2.

8.2 Methods

8.2.1 Data source

In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
ABOR MLS via secure APIs, read from ALEX's copy of the MLS (refreshed every 15 minutes; this pull as of 2026-11-05 22:45 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Round Rock, SubdivisionName contains any of “hidden glen” (case-insensitive). A record is kept when its subdivision name belongs to the Hidden Glen family, the same rule comparable sales use.
The data
Pulled November 5, 2026: 15 closed Hidden Glen records over the prior year, in ZIP 78681. 11 subdivision spellings kept: Hidden Glen Ph 01 (4); Hidden Glen Ph 03A (2); Hidden Glen Ph 02-B (1); Hidden Glen Ph 06-B (1); Hidden Glen Ph 2a (1); Hidden Glen Ph 05-A (1); Hidden Glen Ph 6B (1); Hidden Glen Ph 6A (1); Hidden Glen Ph 6-B (1); Hidden Glen Ph 04A (1); Hidden Glen Ph 04a (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 $725K”.
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 $725K: $548,050–$710,000 (4 sales); $725K–$780K: $725,000–$779,500 (4 sales); $800K–$806K: $800,000–$806,500 (3 sales); Over $806K: $835,750–$895,000 (4 sales)
Quartiles by living area: Under 3,499 SF: 2,496–3,442 SF (4 sales); 3,499–3,721 SF: 3,499–3,721 SF (4 sales); 3,771–3,909 SF: 3,771–3,909 SF (3 sales); Over 3,909 SF: 4,034–4,187 SF (4 sales)
Groups by year built: Before 2003: 2001–2002 (4 sales); 2003–2005: 2003–2005 (6 sales); After 2005: 2007–2009 (5 sales)
View and no view: View: MLS lists a view (6 sales); No view: None or Neighborhood (9 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 $761,793, median $779,500. Days on market: average 104, median 83: the average is pulled up by a few long listings.

8.2.7 Kruskal–Wallis test

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

8.2.8 Mann–Whitney U test

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

8.2.9 Chi-square test

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

8.2.10 Real difference (significance)

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

8.2.11 Size of a difference

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

8.2.12 Rounding in the text

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

8.3 Test results

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

8.3.1 Quartiles by net sale price

Too few sales in a group to test.

8.3.2 Quartiles by living area

Too few sales in a group to test.

8.3.3 Groups by year built

Too few sales in a group to test.

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 45.00—0.0390p < 0.0063Unclearrank-biserial r = 0.667large
Net price per SFMann–Whitney UU = 39.00—0.1810p < 0.0063Unclearrank-biserial r = 0.444medium
Living areaMann–Whitney UU = 30.00—0.7756p < 0.0063Unclearrank-biserial r = 0.111small
Year builtMann–Whitney UU = 29.50—0.8122p < 0.0063Unclearrank-biserial r = 0.093negligible
Days on marketMann–Whitney UU = 19.00—0.3884p < 0.0063Unclearrank-biserial r = 0.296small
Discount from original listMann–Whitney UU = 29.00—0.8639p < 0.0063Unclearrank-biserial r = 0.074negligible
Price cut before saleChi-squareχ² = 2.7810.0952p < 0.0063UnclearCramér’s V = 0.431medium
Seller paid closing costs or repairsChi-squareχ² = 0.1910.6670p < 0.0063UnclearCramér’s V = 0.111small

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.