ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Lost Creek Sec 01

Austin, TX 78746
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 · 3:12 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
24
single-family resale homes
Median net sale price
$1,321,806
average $1,403,041
Median net price per SF
$514
average $489
Median days on market
23 days
average 44 days
1. SummaryResale homes · 24 sales · November 5, 2025 – November 4, 2026

This study looks at the 24 resale homes sold in Lost Creek Sec 01 in the 365 days to November 4, 2026. A full year is used because only 13 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 sold24 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 $1.10M · 6 sales$1.10M–$1.25M · 6 sales$1.39M–$1.55M · 6 salesOver $1.55M · 6 sales
3. Quartiles by net sale priceResale homes · 24 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.

2026-11-05T15:12:22.887748 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 6 6 6 24 sales Sales per group Under $1.10M: 6 sales (25%) $1.10M–$1.25M: 6 sales (25%) $1.39M–$1.55M: 6 sales (25%) Over $1.55M: 6 sales (25%)
Bottom line: no measure differs enough between the groups to rule out chance.

3.1 Key differences

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

3.2 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.

Under $1.10M$1.10M–$1.25M$1.39M–$1.55MOver $1.55MReal difference?
Net price per SF$414 per SF$443 per SF$541 per SF$560 per SFunclear
Living area2,520 SF2,681 SF2,782 SF3,526 SFunclear
Year built1982198019821983unclear
Days on market46 days20 days22 days18 daysunclear
Discount from original list4.5%10.5%1.0%4.7%unclear
Price cut before sale33%33%17%17%unclear
Seller paid closing costs or repairs50%50%33%50%unclear
Has a view83%67%83%67%unclear

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: no clear difference

2026-11-05T15:12:22.915995 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $1.10M 6 sales $1.10M– $1.25M 6 sales $1.39M– $1.55M 6 sales Over $1.55M 6 sales $0 $200 $400 $600 $414 $443 $541 $560 Net price per SF, average

The average is $560 per SF for homes over $1.55M and $414 per SF for homes under $1.10M. It rises step by step from the lowest range to the highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Living area: no clear difference

2026-11-05T15:12:22.938450 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $1.10M 6 sales $1.10M– $1.25M 6 sales $1.39M– $1.55M 6 sales Over $1.55M 6 sales 0 2,000 4,000 2,520 2,681 2,782 3,526 Living area (SF), average

The average is 3,526 SF for homes over $1.55M and 2,520 SF for homes under $1.10M. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

– No clear difference · could be chance

3.5 Year built: no clear difference

2026-11-05T15:12:22.962945 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $1.10M 6 sales $1.10M– $1.25M 6 sales $1.39M– $1.55M 6 sales Over $1.55M 6 sales 1976 1978 1980 1982 1984 1982 1980 1982 1983 Year built: median (dot) and middle half (bar)

The median is 1983 for homes over $1.55M and 1982 for homes under $1.10M. It does not move in a straight line; homes over $1.55M are highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-11-05T15:12:22.986227 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $1.10M 6 sales $1.10M– $1.25M 6 sales $1.39M– $1.55M 6 sales Over $1.55M 6 sales 0 20 40 46 20 22 18 Days on market, median

The median is 18 days for homes over $1.55M and 46 days for homes under $1.10M. It does not move in a straight line; homes under $1.10M are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-11-05T15:12:23.007781 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $1.10M 6 sales $1.10M– $1.25M 6 sales $1.39M– $1.55M 6 sales Over $1.55M 6 sales 0.0% 5.0% 10.0% 4.5% 10.5% 1.0% 4.7% Discount from original list, average

The average is 4.7% for homes over $1.55M and 4.5% for homes under $1.10M. It does not move in a straight line; homes $1.10M–$1.25M are highest. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-11-05T15:12:23.037674 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 50 83 33 50 67 17 33 83 17 50 67 Under $1.10M $1.10M–$1.25M $1.39M–$1.55M Over $1.55M

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

  • 17% of homes over $1.55M had a price cut before sale, against 33% of homes under $1.10M. Defined in 8.1.7.
  • 50% of homes over $1.55M had the seller pay closing costs or repairs, against 50% of homes under $1.10M. Defined in 8.1.8.
  • 67% of homes over $1.55M have a view, against 83% of homes under $1.10M. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance

3.9 The numbers: price and size

Under $1.10M6 sales$1.10M–$1.25M6 sales$1.39M–$1.55M6 salesOver $1.55M6 salesAll24 salesReal difference?
Net sale price average$1,000,833$1,173,199$1,476,669$1,961,463$1,403,041by design
Net price per SF average$414$443$541$560$489unclear
Living area average2,5202,6812,7823,5262,877unclear
Year built median19821980198219831982unclear

3.10 The numbers: selling

Under $1.10M6 sales$1.10M–$1.25M6 sales$1.39M–$1.55M6 salesOver $1.55M6 salesAll24 salesReal difference?
Days on market median4620221823unclear
Discount from original list average4.5%10.5%1.0%4.7%5.2%unclear
Price cut before sale33%33%17%17%25%unclear
Seller paid closing costs or repairs50%50%33%50%46%unclear
Has a view83%67%83%67%75%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 8.3.1.

4. Quartiles by living areaResale homes · 24 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.

2026-11-05T15:12:23.057552 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 6 6 6 24 sales Sales per group Under 2,636 SF: 6 sales (25%) 2,636–2,792 SF: 6 sales (25%) 2,847–3,091 SF: 6 sales (25%) Over 3,091 SF: 6 sales (25%)
Bottom line: no measure differs enough between the groups to rule out chance.

4.1 Key differences

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

4.2 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.

Under 2,636 SF2,636–2,792 SF2,847–3,091 SFOver 3,091 SFReal difference?
Net sale price$1.15M$1.28M$1.36M$1.82Munclear
Net price per SF$523 per SF$472 per SF$458 per SF$505 per SFunclear
Year built1979198219801984unclear
Days on market22 days32 days8 days23 daysunclear
Discount from original list3.3%7.0%1.6%8.9%unclear
Price cut before sale33%17%33%17%unclear
Seller paid closing costs or repairs33%50%33%67%unclear
Has a view100%83%67%50%unclear

4.3 Net sale price: no clear difference

2026-11-05T15:12:23.077673 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,636 SF 6 sales 2,636– 2,792 SF 6 sales 2,847– 3,091 SF 6 sales Over 3,091 SF 6 sales $0K $1.00M $2.00M $1.15M $1.28M $1.36M $1.82M Net sale price, average

The average is $1.82M for homes over 3,091 SF and $1.15M for homes under 2,636 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

– No clear difference · could be chance

4.4 Net price per SF: no clear difference

2026-11-05T15:12:23.099976 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,636 SF 6 sales 2,636– 2,792 SF 6 sales 2,847– 3,091 SF 6 sales Over 3,091 SF 6 sales $0 $200 $400 $600 $523 $472 $458 $505 Net price per SF, average

The average is $505 per SF for homes over 3,091 SF and $523 per SF for homes under 2,636 SF. It does not move in a straight line; homes under 2,636 SF are highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-11-05T15:12:23.123408 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,636 SF 6 sales 2,636– 2,792 SF 6 sales 2,847– 3,091 SF 6 sales Over 3,091 SF 6 sales 1978 1981 1984 1987 1979 1982 1980 1984 Year built: median (dot) and middle half (bar)

The median is 1984 for homes over 3,091 SF and 1979 for homes under 2,636 SF. It does not move in a straight line; homes over 3,091 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-11-05T15:12:23.145859 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,636 SF 6 sales 2,636– 2,792 SF 6 sales 2,847– 3,091 SF 6 sales Over 3,091 SF 6 sales 0 10 20 30 22 32 8 23 Days on market, median

The median is 23 days for homes over 3,091 SF and 22 days for homes under 2,636 SF. It does not move in a straight line; homes 2,636–2,792 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-11-05T15:12:23.167697 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,636 SF 6 sales 2,636– 2,792 SF 6 sales 2,847– 3,091 SF 6 sales Over 3,091 SF 6 sales 0.0% 5.0% 10.0% 3.3% 7.0% 1.6% 8.9% Discount from original list, average

The average is 8.9% for homes over 3,091 SF and 3.3% for homes under 2,636 SF. It does not move in a straight line; homes over 3,091 SF are highest. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-11-05T15:12:23.193806 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 33 100 17 50 83 33 33 67 17 67 50 Under 2,636 SF 2,636–2,792 SF 2,847–3,091 SF Over 3,091 SF

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

  • 17% of homes over 3,091 SF had a price cut before sale, against 33% of homes under 2,636 SF. Defined in 8.1.7.
  • 67% of homes over 3,091 SF had the seller pay closing costs or repairs, against 33% of homes under 2,636 SF. Defined in 8.1.8.
  • 50% of homes over 3,091 SF have a view, against 100% of homes under 2,636 SF. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance

4.9 The numbers: price and size

Under 2,636 SF6 sales2,636–2,792 SF6 sales2,847–3,091 SF6 salesOver 3,091 SF6 salesAll24 salesReal difference?
Net sale price average$1,146,310$1,282,412$1,358,812$1,824,630$1,403,041unclear
Net price per SF average$523$472$458$505$489unclear
Living area average2,2262,7142,9743,5942,877by design
Year built median19791982198019841982unclear

4.10 The numbers: selling

Under 2,636 SF6 sales2,636–2,792 SF6 sales2,847–3,091 SF6 salesOver 3,091 SF6 salesAll24 salesReal difference?
Days on market median223282323unclear
Discount from original list average3.3%7.0%1.6%8.9%5.2%unclear
Price cut before sale33%17%33%17%25%unclear
Seller paid closing costs or repairs33%50%33%67%46%unclear
Has a view100%83%67%50%75%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 8.3.2.

5. Quartiles by year builtResale homes · 24 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.

2026-11-05T15:12:23.214029 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 8 5 7 24 sales Sales per group Before 1979: 4 sales (17%) 1979–1981: 8 sales (33%) 1982–1983: 5 sales (21%) After 1983: 7 sales (29%)
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

2026-11-05T15:12:23.234494 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1979 4 sales 1979– 1981 8 sales 1982– 1983 5 sales After 1983 7 sales $0K $500K $1.00M $1.50M $1.36M $1.34M $1.20M $1.65M Net sale price, average

The average is $1.65M for homes built after 1983 and $1.36M for homes built before 1979. It does not move in a straight line; homes built after 1983 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-11-05T15:12:23.257396 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1979 4 sales 1979– 1981 8 sales 1982– 1983 5 sales After 1983 7 sales $0 $200 $400 $600 $474 $530 $446 $482 Net price per SF, average

The average is $482 per SF for homes built after 1983 and $474 per SF for homes built before 1979. It does not move in a straight line; homes built 1979–1981 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-11-05T15:12:23.279324 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1979 4 sales 1979– 1981 8 sales 1982– 1983 5 sales After 1983 7 sales 0 2,000 4,000 2,870 2,574 2,670 3,376 Living area (SF), average

The average is 3,376 SF for homes built after 1983 and 2,870 SF for homes built before 1979. It does not move in a straight line; homes built after 1983 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-11-05T15:12:23.300961 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1979 4 sales 1979– 1981 8 sales 1982– 1983 5 sales After 1983 7 sales 0 50 100 29 28 91 10 Days on market, median

The median is 10 days for homes built after 1983 and 29 days for homes built before 1979. It does not move in a straight line; homes built 1982–1983 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-11-05T15:12:23.323398 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1979 4 sales 1979– 1981 8 sales 1982– 1983 5 sales After 1983 7 sales 0.0% 5.0% 10.0% 10.3% 4.9% 7.6% 0.9% Discount from original list, average

The average is 0.9% for homes built after 1983 and 10.3% for homes built before 1979. It does not move in a straight line; homes built before 1979 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

2026-11-05T15:12:23.348637 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% 50 25 50 38 38 100 20 60 80 0 57 57 Before 1979 1979–1981 1982–1983 After 1983

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

  • 0% of homes built after 1983 had a price cut before sale, against 50% of homes built before 1979. Defined in 8.1.7.
  • 57% of homes built after 1983 had the seller pay closing costs or repairs, against 25% of homes built before 1979. Defined in 8.1.8.
  • 57% of homes built after 1983 have a view, against 50% of homes built before 1979. 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 19794 sales1979–19818 sales1982–19835 salesAfter 19837 salesAll24 sales
Net sale price average$1,356,344$1,344,045$1,195,094$1,645,683$1,403,041
Net price per SF average$474$530$446$482$489
Living area average2,8702,5742,6703,3762,877
Year built median19761979198219851982

5.10 The numbers: selling

Before 19794 sales1979–19818 sales1982–19835 salesAfter 19837 salesAll24 sales
Days on market median2928911023
Discount from original list average10.3%4.9%7.6%0.9%5.2%
Price cut before sale50%38%20%0%25%
Seller paid closing costs or repairs25%38%60%57%46%
Has a view50%100%80%57%75%

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 · 24 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.

2026-11-05T15:12:23.366533 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 18 6 24 sales Sales per group View: 18 sales (75%) No view: 6 sales (25%)
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$1.37M$1.50Munclear
Net price per SF$504 per SF$445 per SFunclear
Living area2,726 SF3,331 SFunclear
Year built19811984unclear
Days on market32 days7 daysunclear
Discount from original list5.3%4.8%unclear
Price cut before sale28%17%unclear
Seller paid closing costs or repairs44%50%unclear

6.3 Net sale price: no clear difference

2026-11-05T15:12:23.382227 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 18 sales No view 6 sales $0K $500K $1.00M $1.50M $1.37M $1.50M Net sale price, average

The average is $1.37M for homes with a view and $1.50M 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

2026-11-05T15:12:23.399706 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 18 sales No view 6 sales $0 $200 $400 $600 $504 $445 Net price per SF, average

The average is $504 per SF for homes with a view and $445 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

2026-11-05T15:12:23.417935 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 18 sales No view 6 sales 0 1,000 2,000 3,000 2,726 3,331 Living area (SF), average

The average is 2,726 SF for homes with a view and 3,331 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-11-05T15:12:23.461404 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 18 sales No view 6 sales 1981 1984 1987 1981 1984 Year built: median (dot) and middle half (bar)

The median is 1981 for homes with a view and 1984 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-11-05T15:12:23.478776 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 18 sales No view 6 sales 0 10 20 30 32 7 Days on market, median

The median is 32 days for homes with a view and 7 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

2026-11-05T15:12:23.496812 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 18 sales No view 6 sales 0.0% 2.0% 4.0% 6.0% 5.3% 4.8% Discount from original list, average

The average is 5.3% for homes with a view and 4.8% 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

2026-11-05T15:12:23.515491 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 28 44 17 50 View No view

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

  • 28% of homes with a view had a price cut before sale, against 17% of homes without a view. Defined in 8.1.7.
  • 44% 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

View18 salesNo view6 salesAll24 salesReal difference?
Net sale price average$1,369,166$1,504,667$1,403,041unclear
Net price per SF average$504$445$489unclear
Living area average2,7263,3312,877unclear
Year built median198119841982unclear

6.11 The numbers: selling

View18 salesNo view6 salesAll24 salesReal difference?
Days on market median32723unclear
Discount from original list average5.3%4.8%5.2%unclear
Price cut before sale28%17%25%unclear
Seller paid closing costs or repairs44%50%46%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 · 1 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: 1 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 Lost Creek Sec 01.
MeasureAverageMedian
Sales1
Net sale price$3,395,000$3,395,000
Net price per SF$617$617
Living area (SF)5,5045,504
Days on market171171
Discount from original list21.0%21.0%
Price cut before sale100% of sales
Seller paid closing costs or repairs100% of sales
Year built2026–2026

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
24 resale sales. Average $1,403,041; median $1,321,806; standard deviation $411,495; middle half (25th–75th percentile) $1,098,750–$1,575,281; lowest $825,000, highest $2,572,128. 11 sales had a seller payment; their median payment was $10,000.

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
24 resale sales. Average $489; median $514; standard deviation $97; middle half (25th–75th percentile) $429–$545; lowest $270, highest $692.

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
24 resale sales. Average 2,877; median 2,820; standard deviation 618; middle half (25th–75th percentile) 2,614–3,110; lowest 1,878, highest 5,023.

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
24 resale sales. Average 1983; median 1982; standard deviation 8; middle half (25th–75th percentile) 1979–1984; lowest 1975, highest 2017.

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
24 resale sales. Average 44; median 23; standard deviation 53; middle half (25th–75th percentile) 5–64; lowest 2, highest 203. 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
24 resale sales. Average 5.2%; median 3.8%; standard deviation 10.9%; middle half (25th–75th percentile) 0.5%–9.4%; lowest −26.9%, highest 31.9%. 3 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
6 of 24 resale sales (25.0%).

8.1.8 Seller paid closing costs or repairs

In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
11 of 24 resale sales (45.8%).

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
18 sales with a view, 6 without, 0 unclassified. Most common View entries: Hill Country 12, Trees/Woods 9, Neighborhood 9, Panoramic 6, Park/Greenbelt 3, Pool 2, Skyline 2, Canyon 1.

8.2 Methods

8.2.1 Data source

In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
ABOR MLS via secure APIs, read from ALEX's copy of the MLS (refreshed every 15 minutes; this pull as of 2026-11-05 21:00 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Austin, SubdivisionName contains any of “lost creek”, “hills lost creek”, “hills/lost creek” (case-insensitive). A record is kept when its subdivision name belongs to the Lost Creek Sec 01 family, the same rule comparable sales use (it includes Hills Lost Creek Sec 02, proven adjacent and priced alike).
The data
Pulled November 5, 2026: 26 closed Lost Creek Sec 01 records over the prior year, in ZIP 78746. 11 subdivision spellings kept: Lost Creek Sec 01 (7); Lost Creek (5); Lost Creek Sec 02 (3); Hills Lost Creek Sec 04 Ph A (3); Hills Lost Creek Sec 03 (2); Hills Lost Creek Sec 08 (1); Lost Creek Sec 03-A (1); LOST CREEK SEC 1 (1); Lost Creek - Sec 04 Ph A (1); Hills Lost Creek Sec 10 (1); Hills Lost Creek Sec 02 (1). Names found by the search but not part of Lost Creek Sec 01, left out: Woodslopes Lost Creek Condo Am (2); Lost Creek Hill Top (1); Ridge At Lost Creek Condo (1); Woodslopes Lost Creek Condos (1); Bluffs Lost Creek (1); Travis Country: Lost Creek At Gaines Ranch Rep (1); Estates Above Lost Creek (1).

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 13 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from November 5, 2025 to November 4, 2026 inclusive.
The data
25 single-family sales in the window: 24 resale, 1 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
24 resale; 1 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
1 sale(s) other than single-family homes (condo, townhome and similar)

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 $1.10M”.
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 $1.10M: $825,000–$1,095,000 (6 sales); $1.10M–$1.25M: $1,100,000–$1,250,472 (6 sales); $1.39M–$1.55M: $1,393,139–$1,550,375 (6 sales); Over $1.55M: $1,650,000–$2,572,128 (6 sales)
Quartiles by living area: Under 2,636 SF: 1,878–2,548 SF (6 sales); 2,636–2,792 SF: 2,636–2,792 SF (6 sales); 2,847–3,091 SF: 2,847–3,091 SF (6 sales); Over 3,091 SF: 3,165–5,023 SF (6 sales)
Quartiles by year built: Before 1979: 1975–1977 (4 sales); 1979–1981: 1979–1981 (8 sales); 1982–1983: 1982–1983 (5 sales); After 1983: 1984–2017 (7 sales)
View and no view: View: MLS lists a view (18 sales); No view: None or Neighborhood (6 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 $1,403,041, median $1,321,806. Days on market: average 44, median 23: 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
Quartiles by net sale price: m = 8, threshold p < 0.0063; Quartiles by living area: m = 8, threshold p < 0.0063; 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

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net price per SFKruskal–WallisH = 10.8630.0125p < 0.0063Unclearε² = 0.472large
Living areaKruskal–WallisH = 11.1330.0111p < 0.0063Unclearε² = 0.484large
Year builtKruskal–WallisH = 1.3530.7178p < 0.0063Unclearε² = 0.059small
Days on marketKruskal–WallisH = 1.5030.6820p < 0.0063Unclearε² = 0.065medium
Discount from original listKruskal–WallisH = 2.2130.5293p < 0.0063Unclearε² = 0.096medium
Price cut before saleChi-squareχ² = 0.8930.8281p < 0.0063UnclearCramér’s V = 0.192small
Seller paid closing costs or repairsChi-squareχ² = 0.5030.9181p < 0.0063UnclearCramér’s V = 0.145small
Has a viewChi-squareχ² = 0.8930.8281p < 0.0063UnclearCramér’s V = 0.192small

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 7.8530.0492p < 0.0063Unclearε² = 0.341large
Net price per SFKruskal–WallisH = 1.3030.7291p < 0.0063Unclearε² = 0.057small
Year builtKruskal–WallisH = 4.4330.2184p < 0.0063Unclearε² = 0.193large
Days on marketKruskal–WallisH = 1.7630.6236p < 0.0063Unclearε² = 0.077medium
Discount from original listKruskal–WallisH = 1.1130.7752p < 0.0063Unclearε² = 0.048small
Price cut before saleChi-squareχ² = 0.8930.8281p < 0.0063UnclearCramér’s V = 0.192small
Seller paid closing costs or repairsChi-squareχ² = 1.8530.6049p < 0.0063UnclearCramér’s V = 0.277small
Has a viewChi-squareχ² = 4.4430.2173p < 0.0063UnclearCramér’s V = 0.430medium

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 = 48.50—0.7388p < 0.0063Unclearrank-biserial r = 0.102small
Net price per SFMann–Whitney UU = 67.00—0.4149p < 0.0063Unclearrank-biserial r = 0.241small
Living areaMann–Whitney UU = 27.00—0.0769p < 0.0063Unclearrank-biserial r = 0.500large
Year builtMann–Whitney UU = 41.00—0.4013p < 0.0063Unclearrank-biserial r = 0.241small
Days on marketMann–Whitney UU = 66.50—0.4230p < 0.0063Unclearrank-biserial r = 0.231small
Discount from original listMann–Whitney UU = 50.00—0.8154p < 0.0063Unclearrank-biserial r = 0.074negligible
Price cut before saleChi-squareχ² = 0.3010.5862p < 0.0063UnclearCramér’s V = 0.111small
Seller paid closing costs or repairsChi-squareχ² = 0.0610.8130p < 0.0063UnclearCramér’s V = 0.048negligible

8.4 Data notes

Left out of the analysis: 1 new-construction sales (basic statistics only, section 7); 1 sale(s) other than single-family homes (condo, townhome and similar). 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 24 closed MLS resale sales; the 1 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.