ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Flintrock At Hurst Creek

Austin, TX 78738
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 · 4:18 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
18
single-family resale homes
Median net sale price
$1,425,125
average $1,418,440
Median net price per SF
$376
average $372
Median days on market
38 days
average 71 days
1. SummaryResale homes · 18 sales · October 26, 2025 – October 25, 2026

This study looks at the 18 resale homes sold in Flintrock At Hurst Creek in the 365 days to October 25, 2026. A full year is used because only 11 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 sold18 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 $1.09M · 4 sales$1.09M–$1.42M · 5 sales$1.43M–$1.70M · 5 salesOver $1.70M · 4 sales
3. Quartiles by net sale priceResale homes · 18 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.

2026-10-26T04:18:45.446193 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 5 5 4 18 sales Sales per group Under $1.09M: 4 sales (22%) $1.09M–$1.42M: 5 sales (28%) $1.43M–$1.70M: 5 sales (28%) Over $1.70M: 4 sales (22%)
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

2026-10-26T04:18:45.474163 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $1.09M 4 sales $1.09M– $1.42M 5 sales $1.43M– $1.70M 5 sales Over $1.70M 4 sales $0 $200 $400 $331 $356 $383 $418 Net price per SF, average

The average is $418 per SF for homes over $1.70M and $331 per SF for homes under $1.09M. It rises step by step from the lowest range to the highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-10-26T04:18:45.496258 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $1.09M 4 sales $1.09M– $1.42M 5 sales $1.43M– $1.70M 5 sales Over $1.70M 4 sales 0 2,000 4,000 2,424 3,632 4,247 4,848 Living area (SF), average

The average is 4,848 SF for homes over $1.70M and 2,424 SF for homes under $1.09M. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-10-26T04:18:45.519790 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $1.09M 4 sales $1.09M– $1.42M 5 sales $1.43M– $1.70M 5 sales Over $1.70M 4 sales 2008 2011 2014 2017 2010 2007 2008 2006 Year built: median (dot) and middle half (bar)

The median is 2006 for homes over $1.70M and 2010 for homes under $1.09M. It does not move in a straight line; homes under $1.09M are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-10-26T04:18:45.542296 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $1.09M 4 sales $1.09M– $1.42M 5 sales $1.43M– $1.70M 5 sales Over $1.70M 4 sales 0 50 100 20 48 89 72 Days on market, median

The median is 72 days for homes over $1.70M and 20 days for homes under $1.09M. It does not move in a straight line; homes $1.43M–$1.70M are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-10-26T04:18:45.563759 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $1.09M 4 sales $1.09M– $1.42M 5 sales $1.43M– $1.70M 5 sales Over $1.70M 4 sales 0.0% 5.0% 10.0% 1.4% 9.5% 7.3% 11.4% Discount from original list, average

The average is 11.4% for homes over $1.70M and 1.4% for homes under $1.09M. It does not move in a straight line; homes over $1.70M 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

2026-10-26T04:18:45.593344 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% 0 25 25 60 60 20 40 40 100 50 0 100 Under $1.09M $1.09M–$1.42M $1.43M–$1.70M Over $1.70M

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

  • 50% of homes over $1.70M had a price cut before sale, against 0% of homes under $1.09M. Defined in 8.1.7.
  • 0% of homes over $1.70M had the seller pay closing costs or repairs, against 25% of homes under $1.09M. Defined in 8.1.8.
  • 100% of homes over $1.70M have a view, against 25% of homes under $1.09M. 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 $1.09M4 sales$1.09M–$1.42M5 sales$1.43M–$1.70M5 salesOver $1.70M4 salesAll18 sales
Net sale price average$792,842$1,283,630$1,578,480$2,012,500$1,418,440
Net price per SF average$331$356$383$418$372
Living area average2,4243,6324,2474,8483,805
Year built median20102007200820062008

3.10 The numbers: selling

Under $1.09M4 sales$1.09M–$1.42M5 sales$1.43M–$1.70M5 salesOver $1.70M4 salesAll18 sales
Days on market median2048897238
Discount from original list average1.4%9.5%7.3%11.4%7.5%
Price cut before sale0%60%40%50%39%
Seller paid closing costs or repairs25%60%40%0%33%
Has a view25%20%100%100%61%

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 · 18 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.

2026-10-26T04:18:45.613568 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 5 5 4 18 sales Sales per group Under 3,280 SF: 4 sales (22%) 3,280–3,730 SF: 5 sales (28%) 3,768–4,489 SF: 5 sales (28%) Over 4,489 SF: 4 sales (22%)
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

2026-10-26T04:18:45.634047 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 3,280 SF 4 sales 3,280– 3,730 SF 5 sales 3,768– 4,489 SF 5 sales Over 4,489 SF 4 sales $0K $1.00M $2.00M $793K $1.43M $1.57M $1.85M Net sale price, average

The average is $1.85M for homes over 4,489 SF and $793K for homes under 3,280 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

Not tested: too few sales.

4.4 Net price per SF: described, not tested

2026-10-26T04:18:45.655249 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 3,280 SF 4 sales 3,280– 3,730 SF 5 sales 3,768– 4,489 SF 5 sales Over 4,489 SF 4 sales $0 $200 $400 $331 $408 $378 $360 Net price per SF, average

The average is $360 per SF for homes over 4,489 SF and $331 per SF for homes under 3,280 SF. It does not move in a straight line; homes 3,280–3,730 SF are highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-10-26T04:18:45.678387 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 3,280 SF 4 sales 3,280– 3,730 SF 5 sales 3,768– 4,489 SF 5 sales Over 4,489 SF 4 sales 2008 2012 2016 2020 2010 2018 2007 2006 Year built: median (dot) and middle half (bar)

The median is 2006 for homes over 4,489 SF and 2010 for homes under 3,280 SF. It does not move in a straight line; homes 3,280–3,730 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-10-26T04:18:45.701064 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 3,280 SF 4 sales 3,280– 3,730 SF 5 sales 3,768– 4,489 SF 5 sales Over 4,489 SF 4 sales 0 50 100 20 48 89 72 Days on market, median

The median is 72 days for homes over 4,489 SF and 20 days for homes under 3,280 SF. It does not move in a straight line; homes 3,768–4,489 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-10-26T04:18:45.722229 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 3,280 SF 4 sales 3,280– 3,730 SF 5 sales 3,768– 4,489 SF 5 sales Over 4,489 SF 4 sales 0.0% 5.0% 10.0% 15.0% 1.4% 8.0% 7.6% 12.8% Discount from original list, average

The average is 12.8% for homes over 4,489 SF and 1.4% for homes under 3,280 SF. It does not move in a straight line; homes over 4,489 SF are highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-10-26T04:18:45.748122 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% 0 25 25 60 60 40 40 40 80 50 0 100 Under 3,280 SF 3,280–3,730 SF 3,768–4,489 SF Over 4,489 SF

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

  • 50% of homes over 4,489 SF had a price cut before sale, against 0% of homes under 3,280 SF. Defined in 8.1.7.
  • 0% of homes over 4,489 SF had the seller pay closing costs or repairs, against 25% of homes under 3,280 SF. Defined in 8.1.8.
  • 100% of homes over 4,489 SF have a view, against 25% of homes under 3,280 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 3,280 SF4 sales3,280–3,730 SF5 sales3,768–4,489 SF5 salesOver 4,489 SF4 salesAll18 sales
Net sale price average$792,842$1,425,110$1,570,600$1,845,500$1,418,440
Net price per SF average$331$408$378$360$372
Living area average2,4243,5044,1075,1823,805
Year built median20102018200720062008

4.10 The numbers: selling

Under 3,280 SF4 sales3,280–3,730 SF5 sales3,768–4,489 SF5 salesOver 4,489 SF4 salesAll18 sales
Days on market median2048897238
Discount from original list average1.4%8.0%7.6%12.8%7.5%
Price cut before sale0%60%40%50%39%
Seller paid closing costs or repairs25%60%40%0%33%
Has a view25%40%80%100%61%

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 · 18 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.

2026-10-26T04:18:45.768072 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 3 5 4 18 sales Sales per group Before 2007: 6 sales (33%) 2007: 3 sales (17%) 2008–2013: 5 sales (28%) After 2013: 4 sales (22%)
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

2026-10-26T04:18:45.787820 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2007 6 sales 2007 3 sales 2008– 2013 5 sales After 2013 4 sales $0K $500K $1.00M $1.50M $1.56M $1.58M $1.28M $1.26M Net sale price, average

The average is $1.26M for homes built after 2013 and $1.56M for homes built before 2007. It does not move in a straight line; homes built 2007 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T04:18:45.809958 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2007 6 sales 2007 3 sales 2008– 2013 5 sales After 2013 4 sales $0 $200 $400 $362 $391 $353 $397 Net price per SF, average

The average is $397 per SF for homes built after 2013 and $362 per SF for homes built before 2007. It does not move in a straight line; homes built after 2013 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T04:18:45.831277 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2007 6 sales 2007 3 sales 2008– 2013 5 sales After 2013 4 sales 0 2,000 4,000 4,368 3,979 3,559 3,136 Living area (SF), average

The average is 3,136 SF for homes built after 2013 and 4,368 SF for homes built before 2007. It falls step by step from the lowest range to the highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T04:18:45.852888 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2007 6 sales 2007 3 sales 2008– 2013 5 sales After 2013 4 sales 0 50 100 14 76 89 33 Days on market, median

The median is 33 days for homes built after 2013 and 14 days for homes built before 2007. It does not move in a straight line; homes built 2008–2013 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T04:18:45.873756 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2007 6 sales 2007 3 sales 2008– 2013 5 sales After 2013 4 sales 0.0% 5.0% 10.0% 7.2% 10.1% 6.0% 7.9% Discount from original list, average

The average is 7.9% for homes built after 2013 and 7.2% for homes built before 2007. It does not move in a straight line; homes built 2007 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

2026-10-26T04:18:45.898134 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 17 67 67 67 33 20 20 60 50 50 75 Before 2007 2007 2008–2013 After 2013

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

  • 50% of homes built after 2013 had a price cut before sale, against 33% of homes built before 2007. Defined in 8.1.7.
  • 50% of homes built after 2013 had the seller pay closing costs or repairs, against 17% of homes built before 2007. Defined in 8.1.8.
  • 75% of homes built after 2013 have a view, against 67% 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 20076 sales20073 sales2008–20135 salesAfter 20134 salesAll18 sales
Net sale price average$1,561,042$1,581,800$1,277,173$1,258,600$1,418,440
Net price per SF average$362$391$353$397$372
Living area average4,3683,9793,5593,1363,805
Year built median20062007200820202008

5.10 The numbers: selling

Before 20076 sales20073 sales2008–20135 salesAfter 20134 salesAll18 sales
Days on market median1476893338
Discount from original list average7.2%10.1%6.0%7.9%7.5%
Price cut before sale33%67%20%50%39%
Seller paid closing costs or repairs17%67%20%50%33%
Has a view67%33%60%75%61%

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 · 18 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.

2026-10-26T04:18:45.915638 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 11 7 18 sales Sales per group View: 11 sales (61%) No view: 7 sales (39%)
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$1.62M$1.11Munclear
Net price per SF$385 per SF$352 per SFunclear
Living area4,228 SF3,139 SFunclear
Year built20082007unclear
Days on market89 days28 daysunclear
Discount from original list9.0%5.2%unclear
Price cut before sale45%29%unclear
Seller paid closing costs or repairs18%57%unclear

6.3 Net sale price: no clear difference

2026-10-26T04:18:45.931020 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 11 sales No view 7 sales $0K $500K $1.00M $1.50M $1.62M $1.11M Net sale price, average

The average is $1.62M for homes with a view and $1.11M 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

2026-10-26T04:18:45.948973 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 11 sales No view 7 sales $0 $100 $200 $300 $400 $385 $352 Net price per SF, average

The average is $385 per SF for homes with a view and $352 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

2026-10-26T04:18:45.989391 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 11 sales No view 7 sales 0 2,000 4,000 4,228 3,139 Living area (SF), average

The average is 4,228 SF for homes with a view and 3,139 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-26T04:18:46.006606 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 11 sales No view 7 sales 2006 2008 2010 2008 2007 Year built: median (dot) and middle half (bar)

The median is 2008 for homes with a view and 2007 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-26T04:18:46.025419 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 11 sales No view 7 sales 0 25 50 75 100 89 28 Days on market, median

The median is 89 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

2026-10-26T04:18:46.044216 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 11 sales No view 7 sales 0.0% 2.5% 5.0% 7.5% 10.0% 9.0% 5.2% Discount from original list, average

The average is 9.0% 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

2026-10-26T04:18:46.062872 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 45 18 29 57 View No view

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

  • 45% of homes with a view had a price cut before sale, against 29% of homes without a view. Defined in 8.1.7.
  • 18% of homes with a view had the seller pay closing costs or repairs, against 57% 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

View11 salesNo view7 salesAll18 salesReal difference?
Net sale price average$1,617,445$1,105,717$1,418,440unclear
Net price per SF average$385$352$372unclear
Living area average4,2283,1393,805unclear
Year built median200820072008unclear

6.11 The numbers: selling

View11 salesNo view7 salesAll18 salesReal difference?
Days on market median892838unclear
Discount from original list average9.0%5.2%7.5%unclear
Price cut before sale45%29%39%unclear
Seller paid closing costs or repairs18%57%33%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 Flintrock At Hurst Creek.

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
18 resale sales. Average $1,418,440; median $1,425,125; standard deviation $453,818; middle half (25th–75th percentile) $1,100,750–$1,693,500; lowest $722,500, highest $2,260,000. 6 sales had a seller payment; their median payment was $3,000.

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
18 resale sales. Average $372; median $376; standard deviation $61; middle half (25th–75th percentile) $334–$407; lowest $276, highest $509.

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
18 resale sales. Average 3,805; median 3,749; standard deviation 1,035; middle half (25th–75th percentile) 3,298–4,476; lowest 2,042, highest 5,775.

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
18 resale sales. Average 2010; median 2008; standard deviation 6; middle half (25th–75th percentile) 2006–2012; lowest 2001, highest 2022.

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
18 resale sales. Average 71; median 38; standard deviation 71; middle half (25th–75th percentile) 13–119; lowest 4, highest 227. 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
18 resale sales. Average 7.5%; median 7.0%; standard deviation 6.1%; middle half (25th–75th percentile) 3.1%–12.3%; lowest −2.7%, highest 20.4%. 2 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 18 resale sales (38.9%).

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
6 of 18 resale sales (33.3%).

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
11 sales with a view, 7 without, 0 unclassified. Most common View entries: Golf Course 7, Hill Country 7, None 5, Neighborhood 4, Panoramic 4, Pool 2, See Remarks 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
Bridge Interactive RESO Web API (OData), ABOR dataset, every field returned. Filter: StandardStatus = Closed, PropertyType = Residential, City = Austin, SubdivisionName contains any of “flintrock at hurst creek” (case-insensitive). A record is kept when its subdivision name belongs to the Flintrock At Hurst Creek family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 18 closed Flintrock At Hurst Creek records over the prior year, in ZIP 78738. 10 subdivision spellings kept: Flintrock At Hurst Creek Ph 01 (4); Flintrock At Hurst Creek Ph 03 (3); Flintrock At Hurst Creek Ph 02 (3); Flintrock At Hurst Creek Ph 04 (2); Flintrock At Hurst Creek Ph 07 (1); Flintrock At Hurst Creek Ph 02; Lakeway (1); Flintrock At Hurst Creek Ph 05 (1); Flintrock At Hurst Creek Ph 3 (1); Flintrock At Hurst Creek Ph 4 (1); Flintrock at Hurst Creek (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 11 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
18 single-family sales in the window: 18 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
18 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 $1.09M”.
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 $1.09M: $722,500–$950,000 (4 sales); $1.09M–$1.42M: $1,092,000–$1,420,250 (5 sales); $1.43M–$1.70M: $1,430,000–$1,700,000 (5 sales); Over $1.70M: $1,800,000–$2,260,000 (4 sales)
Quartiles by living area: Under 3,280 SF: 2,042–3,217 SF (4 sales); 3,280–3,730 SF: 3,280–3,730 SF (5 sales); 3,768–4,489 SF: 3,768–4,489 SF (5 sales); Over 4,489 SF: 4,720–5,775 SF (4 sales)
Quartiles by year built: Before 2007: 2001–2006 (6 sales); 2007: 2007–2007 (3 sales); 2008–2013: 2008–2013 (5 sales); After 2013: 2014–2022 (4 sales)
View and no view: View: MLS lists a view (11 sales); No view: None or Neighborhood (7 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 $1,418,440, median $1,425,125. Days on market: average 71, median 38: 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 = 67.00—0.0083p < 0.0063Unclearrank-biserial r = 0.740large
Net price per SFMann–Whitney UU = 51.00—0.2854p < 0.0063Unclearrank-biserial r = 0.325medium
Living areaMann–Whitney UU = 65.00—0.0154p < 0.0063Unclearrank-biserial r = 0.688large
Year builtMann–Whitney UU = 38.00—1.0000p < 0.0063Unclearrank-biserial r = 0.013negligible
Days on marketMann–Whitney UU = 50.00—0.3189p < 0.0063Unclearrank-biserial r = 0.299small
Discount from original listMann–Whitney UU = 53.00—0.2109p < 0.0063Unclearrank-biserial r = 0.377medium
Price cut before saleChi-squareχ² = 0.5110.4738p < 0.0063UnclearCramér’s V = 0.169small
Seller paid closing costs or repairsChi-squareχ² = 2.9210.0874p < 0.0063UnclearCramér’s V = 0.403medium

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 18 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.