ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Jester Point 02 Sec 06-B

Austin, TX 78750
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 · 4:12 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
20
single-family resale homes
Median net sale price
$897,450
average $942,451
Median net price per SF
$360
average $340
Median days on market
10 days
average 36 days
1. SummaryResale homes · 20 sales · October 26, 2025 – October 25, 2026

This study looks at the 20 resale homes sold in Jester Point 02 Sec 06-B in the 365 days to October 25, 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 sold20 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 $845K · 5 sales$845K–$895K · 5 sales$900K–$1.05M · 5 salesOver $1.05M · 5 sales
3. Quartiles by net sale priceResale homes · 20 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.

2026-10-26T04:12:47.208336 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 5 5 20 sales Sales per group Under $845K: 5 sales (25%) $845K–$895K: 5 sales (25%) $900K–$1.05M: 5 sales (25%) Over $1.05M: 5 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 $845K$845K–$895K$900K–$1.05MOver $1.05MReal difference?
Net price per SF$330 per SF$348 per SF$328 per SF$352 per SFunclear
Living area2,341 SF2,565 SF2,947 SF3,461 SFunclear
Year built1989199419951991unclear
Days on market31 days6 days7 days11 daysunclear
Discount from original list4.5%4.4%4.2%3.9%unclear
Price cut before sale40%40%40%0%unclear
Seller paid closing costs or repairs60%60%60%60%unclear
Has a view80%80%40%40%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

2026-10-26T04:12:47.275305 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $845K 5 sales $845K– $895K 5 sales $900K– $1.05M 5 sales Over $1.05M 5 sales $0 $200 $400 $330 $348 $328 $352 Net price per SF, average

The average is $352 per SF for homes over $1.05M and $330 per SF for homes under $845K. It does not move in a straight line; homes over $1.05M are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Living area: no clear difference

2026-10-26T04:12:47.298474 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $845K 5 sales $845K– $895K 5 sales $900K– $1.05M 5 sales Over $1.05M 5 sales 0 2,000 4,000 2,341 2,565 2,947 3,461 Living area (SF), average

The average is 3,461 SF for homes over $1.05M and 2,341 SF for homes under $845K. 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

2026-10-26T04:12:47.324983 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $845K 5 sales $845K– $895K 5 sales $900K– $1.05M 5 sales Over $1.05M 5 sales 1988 1990 1992 1994 1996 1989 1994 1995 1991 Year built: median (dot) and middle half (bar)

The median is 1991 for homes over $1.05M and 1989 for homes under $845K. It does not move in a straight line; homes $900K–$1.05M are highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-10-26T04:12:47.348579 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $845K 5 sales $845K– $895K 5 sales $900K– $1.05M 5 sales Over $1.05M 5 sales 0 10 20 30 31 6 7 11 Days on market, median

The median is 11 days for homes over $1.05M and 31 days for homes under $845K. It does not move in a straight line; homes under $845K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-26T04:12:47.371053 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $845K 5 sales $845K– $895K 5 sales $900K– $1.05M 5 sales Over $1.05M 5 sales 0.0% 2.0% 4.0% 4.5% 4.4% 4.2% 3.9% Discount from original list, average

The average is 3.9% for homes over $1.05M and 4.5% for homes under $845K. It falls step by step from the lowest range to the 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

2026-10-26T04:12:47.400229 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% 40 60 80 40 60 80 40 60 40 0 60 40 Under $845K $845K–$895K $900K–$1.05M Over $1.05M

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

  • 0% of homes over $1.05M had a price cut before sale, against 40% of homes under $845K. Defined in 8.1.7.
  • 60% of homes over $1.05M had the seller pay closing costs or repairs, against 60% of homes under $845K. Defined in 8.1.8.
  • 40% of homes over $1.05M have a view, against 80% of homes under $845K. 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 $845K5 sales$845K–$895K5 sales$900K–$1.05M5 salesOver $1.05M5 salesAll20 salesReal difference?
Net sale price average$760,500$865,993$941,509$1,201,800$942,451by design
Net price per SF average$330$348$328$352$340unclear
Living area average2,3412,5652,9473,4612,828unclear
Year built median19891994199519911991unclear

3.10 The numbers: selling

Under $845K5 sales$845K–$895K5 sales$900K–$1.05M5 salesOver $1.05M5 salesAll20 salesReal difference?
Days on market median31671110unclear
Discount from original list average4.5%4.4%4.2%3.9%4.2%unclear
Price cut before sale40%40%40%0%30%unclear
Seller paid closing costs or repairs60%60%60%60%60%unclear
Has a view80%80%40%40%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 8.3.1.

4. Quartiles by living areaResale homes · 20 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.

2026-10-26T04:12:47.420298 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 5 5 20 sales Sales per group Under 2,185 SF: 5 sales (25%) 2,185–2,730 SF: 5 sales (25%) 2,795–3,292 SF: 5 sales (25%) Over 3,292 SF: 5 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 2,185 SF2,185–2,730 SF2,795–3,292 SFOver 3,292 SFReal difference?
Net sale price$773K$917K$1.06M$1.02Munclear
Net price per SF$365 per SF$369 per SF$343 per SF$281 per SFunclear
Year built1989198919941995unclear
Days on market67 days31 days7 days11 daysunclear
Discount from original list4.2%5.2%1.3%6.3%unclear
Price cut before sale40%60%0%20%unclear
Seller paid closing costs or repairs40%80%60%60%unclear
Has a view80%80%40%40%unclear

4.3 Net sale price: no clear difference

2026-10-26T04:12:47.441477 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,185 SF 5 sales 2,185– 2,730 SF 5 sales 2,795– 3,292 SF 5 sales Over 3,292 SF 5 sales $0K $500K $1.00M $773K $917K $1.06M $1.02M Net sale price, average

The average is $1.02M for homes over 3,292 SF and $773K for homes under 2,185 SF. It does not move in a straight line; homes 2,795–3,292 SF are highest. Defined in 8.1.1.

– No clear difference · could be chance

4.4 Net price per SF: no clear difference

2026-10-26T04:12:47.464919 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,185 SF 5 sales 2,185– 2,730 SF 5 sales 2,795– 3,292 SF 5 sales Over 3,292 SF 5 sales $0 $200 $400 $365 $369 $343 $281 Net price per SF, average

The average is $281 per SF for homes over 3,292 SF and $365 per SF for homes under 2,185 SF. It does not move in a straight line; homes 2,185–2,730 SF are highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-10-26T04:12:47.490017 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,185 SF 5 sales 2,185– 2,730 SF 5 sales 2,795– 3,292 SF 5 sales Over 3,292 SF 5 sales 1988 1990 1992 1994 1996 1989 1989 1994 1995 Year built: median (dot) and middle half (bar)

The median is 1995 for homes over 3,292 SF and 1989 for homes under 2,185 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-10-26T04:12:47.514278 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,185 SF 5 sales 2,185– 2,730 SF 5 sales 2,795– 3,292 SF 5 sales Over 3,292 SF 5 sales 0 25 50 75 67 31 7 11 Days on market, median

The median is 11 days for homes over 3,292 SF and 67 days for homes under 2,185 SF. It does not move in a straight line; homes under 2,185 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-26T04:12:47.537069 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,185 SF 5 sales 2,185– 2,730 SF 5 sales 2,795– 3,292 SF 5 sales Over 3,292 SF 5 sales 0.0% 2.0% 4.0% 6.0% 4.2% 5.2% 1.3% 6.3% Discount from original list, average

The average is 6.3% for homes over 3,292 SF and 4.2% for homes under 2,185 SF. It does not move in a straight line; homes over 3,292 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

2026-10-26T04:12:47.563818 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% 40 40 80 60 80 80 0 60 40 20 60 40 Under 2,185 SF 2,185–2,730 SF 2,795–3,292 SF Over 3,292 SF

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

  • 20% of homes over 3,292 SF had a price cut before sale, against 40% of homes under 2,185 SF. Defined in 8.1.7.
  • 60% of homes over 3,292 SF had the seller pay closing costs or repairs, against 40% of homes under 2,185 SF. Defined in 8.1.8.
  • 40% of homes over 3,292 SF have a view, against 80% of homes under 2,185 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 2,185 SF5 sales2,185–2,730 SF5 sales2,795–3,292 SF5 salesOver 3,292 SF5 salesAll20 salesReal difference?
Net sale price average$773,493$916,909$1,063,800$1,015,600$942,451unclear
Net price per SF average$365$369$343$281$340unclear
Living area average2,1202,5003,0903,6032,828by design
Year built median19891989199419951991unclear

4.10 The numbers: selling

Under 2,185 SF5 sales2,185–2,730 SF5 sales2,795–3,292 SF5 salesOver 3,292 SF5 salesAll20 salesReal difference?
Days on market median673171110unclear
Discount from original list average4.2%5.2%1.3%6.3%4.2%unclear
Price cut before sale40%60%0%20%30%unclear
Seller paid closing costs or repairs40%80%60%60%60%unclear
Has a view80%80%40%40%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 8.3.2.

5. Quartiles by year builtResale homes · 20 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.

2026-10-26T04:12:47.584502 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 3 7 4 20 sales Sales per group Before 1989: 6 sales (30%) 1989–1990: 3 sales (15%) 1991–1995: 7 sales (35%) After 1995: 4 sales (20%)
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

2026-10-26T04:12:47.604645 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1989 6 sales 1989– 1990 3 sales 1991– 1995 7 sales After 1995 4 sales $0K $500K $1.00M $976K $870K $909K $1.00M Net sale price, average

The average is $1.00M for homes built after 1995 and $976K for homes built before 1989. It does not move in a straight line; homes built after 1995 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T04:12:47.628826 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1989 6 sales 1989– 1990 3 sales 1991– 1995 7 sales After 1995 4 sales $0 $200 $400 $369 $361 $307 $336 Net price per SF, average

The average is $336 per SF for homes built after 1995 and $369 per SF for homes built before 1989. It does not move in a straight line; homes built before 1989 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T04:12:47.651050 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1989 6 sales 1989– 1990 3 sales 1991– 1995 7 sales After 1995 4 sales 0 1,000 2,000 3,000 2,663 2,421 3,008 3,068 Living area (SF), average

The average is 3,068 SF for homes built after 1995 and 2,663 SF for homes built before 1989. It does not move in a straight line; homes built after 1995 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T04:12:47.674478 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1989 6 sales 1989– 1990 3 sales 1991– 1995 7 sales After 1995 4 sales 0 20 40 49 5 6 14 Days on market, median

The median is 14 days for homes built after 1995 and 49 days for homes built before 1989. It does not move in a straight line; homes built before 1989 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T04:12:47.698602 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1989 6 sales 1989– 1990 3 sales 1991– 1995 7 sales After 1995 4 sales 0.0% 2.5% 5.0% 7.5% 8.3% 1.8% 1.7% 4.5% Discount from original list, average

The average is 4.5% for homes built after 1995 and 8.3% for homes built before 1989. It does not move in a straight line; homes built before 1989 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

2026-10-26T04:12:47.724941 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% 67 50 50 33 67 100 0 71 43 25 50 75 Before 1989 1989–1990 1991–1995 After 1995

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

  • 25% of homes built after 1995 had a price cut before sale, against 67% of homes built before 1989. Defined in 8.1.7.
  • 50% of homes built after 1995 had the seller pay closing costs or repairs, against 50% of homes built before 1989. Defined in 8.1.8.
  • 75% of homes built after 1995 have a view, against 50% of homes built before 1989. 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 19896 sales1989–19903 sales1991–19957 salesAfter 19954 salesAll20 sales
Net sale price average$976,067$870,249$908,995$1,004,725$942,451
Net price per SF average$369$361$307$336$340
Living area average2,6632,4213,0083,0682,828
Year built median19881989199419961991

5.10 The numbers: selling

Before 19896 sales1989–19903 sales1991–19957 salesAfter 19954 salesAll20 sales
Days on market median49561410
Discount from original list average8.3%1.8%1.7%4.5%4.2%
Price cut before sale67%33%0%25%30%
Seller paid closing costs or repairs50%67%71%50%60%
Has a view50%100%43%75%60%

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 · 20 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.

2026-10-26T04:12:47.743554 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 12 8 20 sales Sales per group View: 12 sales (60%) No view: 8 sales (40%)
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$914K$985Kunclear
Net price per SF$353 per SF$320 per SFunclear
Living area2,628 SF3,129 SFunclear
Year built19901992unclear
Days on market10 days14 daysunclear
Discount from original list2.6%6.7%unclear
Price cut before sale25%38%unclear
Seller paid closing costs or repairs75%38%unclear

6.3 Net sale price: no clear difference

2026-10-26T04:12:47.760803 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 12 sales No view 8 sales $0K $250K $500K $750K $1.00M $914K $985K Net sale price, average

The average is $914K for homes with a view and $985K 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

2026-10-26T04:12:47.779601 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 12 sales No view 8 sales $0 $100 $200 $300 $400 $353 $320 Net price per SF, average

The average is $353 per SF for homes with a view and $320 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

2026-10-26T04:12:47.822781 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 12 sales No view 8 sales 0 1,000 2,000 3,000 2,628 3,129 Living area (SF), average

The average is 2,628 SF for homes with a view and 3,129 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-26T04:12:47.842777 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 12 sales No view 8 sales 1988 1990 1992 1994 1990 1992 Year built: median (dot) and middle half (bar)

The median is 1990 for homes with a view and 1992 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-26T04:12:47.860640 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 12 sales No view 8 sales 0 5 10 15 10 14 Days on market, median

The median is 10 days for homes with a view and 14 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

2026-10-26T04:12:47.880745 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 12 sales No view 8 sales 0.0% 2.0% 4.0% 6.0% 8.0% 2.6% 6.7% Discount from original list, average

The average is 2.6% for homes with a view and 6.7% 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

2026-10-26T04:12:47.900216 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 25 75 38 38 View No view

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

  • 25% of homes with a view had a price cut before sale, against 38% of homes without a view. Defined in 8.1.7.
  • 75% of homes with a view had the seller pay closing costs or repairs, against 38% 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

View12 salesNo view8 salesAll20 salesReal difference?
Net sale price average$914,343$984,612$942,451unclear
Net price per SF average$353$320$340unclear
Living area average2,6283,1292,828unclear
Year built median199019921991unclear

6.11 The numbers: selling

View12 salesNo view8 salesAll20 salesReal difference?
Days on market median101410unclear
Discount from original list average2.6%6.7%4.2%unclear
Price cut before sale25%38%30%unclear
Seller paid closing costs or repairs75%38%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 · 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 Jester Point 02 Sec 06-B.

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
20 resale sales. Average $942,451; median $897,450; standard deviation $183,978; middle half (25th–75th percentile) $841,250–$1,051,675; lowest $562,500, highest $1,330,000. 12 sales had a seller payment; their median payment was $9,626.

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
20 resale sales. Average $340; median $360; standard deviation $58; middle half (25th–75th percentile) $271–$383; lowest $254, highest $435.

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
20 resale sales. Average 2,828; median 2,762; standard deviation 612; middle half (25th–75th percentile) 2,182–3,301; lowest 2,089, highest 4,088.

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
20 resale sales. Average 1992; median 1991; standard deviation 4; middle half (25th–75th percentile) 1988–1995; lowest 1986, highest 2000.

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
20 resale sales. Average 36; median 10; standard deviation 47; middle half (25th–75th percentile) 6–54; lowest 2, highest 159. 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
20 resale sales. Average 4.2%; median 2.2%; standard deviation 6.7%; middle half (25th–75th percentile) 0.2%–8.6%; lowest −5.4%, highest 18.2%. 4 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 20 resale sales (30.0%).

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
12 of 20 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
12 sales with a view, 8 without, 0 unclassified. Most common View entries: Hill Country 8, Park/Greenbelt 6, None 6, Trees/Woods 6, Neighborhood 5, Panoramic 5, Canyon 3, Skyline 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 “jester point”, “canyon ridge” (case-insensitive). A record is kept when its subdivision name belongs to the Jester Point 02 Sec 06-B family, the same rule comparable sales use (it includes Canyon Ridge Ph A Sec 02, proven adjacent and priced alike).
The data
Pulled October 26, 2026: 20 closed Jester Point 02 Sec 06-B records over the prior year, in ZIP 78750. 10 subdivision spellings kept: Jester Point 02 Sec 04 (5); Jester Point 02 Sec 06-B (4); Jester Point 02 Sec 05-B (2); Jester Point (2); Jester Point 02 Sec 03 (2); Jester Point 2 Sec 6-b (1); Canyon Ridge Ph A Sec 01 (1); Canyon Ridge Ph A Sec (1); Canyon Ridge Ph A Sec 02 (1); Jester Point 02 Sec 08 (1). Names found by the search but not part of Jester Point 02 Sec 06-B, left out: Jester - Canyon Ridge Ph A Sec 03 (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 9 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
20 single-family sales in the window: 20 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
20 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 $845K”.
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 $845K: $562,500–$830,000 (5 sales); $845K–$895K: $845,000–$895,000 (5 sales); $900K–$1.05M: $899,900–$1,048,900 (5 sales); Over $1.05M: $1,060,000–$1,330,000 (5 sales)
Quartiles by living area: Under 2,185 SF: 2,089–2,171 SF (5 sales); 2,185–2,730 SF: 2,185–2,730 SF (5 sales); 2,795–3,292 SF: 2,795–3,292 SF (5 sales); Over 3,292 SF: 3,328–4,088 SF (5 sales)
Quartiles by year built: Before 1989: 1986–1988 (6 sales); 1989–1990: 1989–1990 (3 sales); 1991–1995: 1991–1995 (7 sales); After 1995: 1996–2000 (4 sales)
View and no view: View: MLS lists a view (12 sales); No view: None or Neighborhood (8 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 $942,451, median $897,450. Days on market: average 36, median 10: 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 = 0.4730.9245p < 0.0063Unclearε² = 0.025small
Living areaKruskal–WallisH = 8.4130.0382p < 0.0063Unclearε² = 0.443large
Year builtKruskal–WallisH = 1.9630.5818p < 0.0063Unclearε² = 0.103medium
Days on marketKruskal–WallisH = 0.7630.8590p < 0.0063Unclearε² = 0.040small
Discount from original listKruskal–WallisH = 0.4630.9270p < 0.0063Unclearε² = 0.024small
Price cut before saleChi-squareχ² = 2.8630.4142p < 0.0063UnclearCramér’s V = 0.378medium
Seller paid closing costs or repairsChi-squareχ² = 0.0031.0000p < 0.0063UnclearCramér’s V = 0.000negligible
Has a viewChi-squareχ² = 3.3330.3430p < 0.0063UnclearCramér’s V = 0.408medium

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 8.0730.0445p < 0.0063Unclearε² = 0.425large
Net price per SFKruskal–WallisH = 7.1930.0660p < 0.0063Unclearε² = 0.379large
Year builtKruskal–WallisH = 2.9330.4019p < 0.0063Unclearε² = 0.154large
Days on marketKruskal–WallisH = 2.2330.5264p < 0.0063Unclearε² = 0.117medium
Discount from original listKruskal–WallisH = 1.5430.6737p < 0.0063Unclearε² = 0.081medium
Price cut before saleChi-squareχ² = 4.7630.1901p < 0.0063UnclearCramér’s V = 0.488medium
Seller paid closing costs or repairsChi-squareχ² = 1.6730.6444p < 0.0063UnclearCramér’s V = 0.289small
Has a viewChi-squareχ² = 3.3330.3430p < 0.0063UnclearCramér’s V = 0.408medium

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 = 32.00—0.2380p < 0.0063Unclearrank-biserial r = 0.333medium
Net price per SFMann–Whitney UU = 64.00—0.2380p < 0.0063Unclearrank-biserial r = 0.333medium
Living areaMann–Whitney UU = 24.00—0.0697p < 0.0063Unclearrank-biserial r = 0.500large
Year builtMann–Whitney UU = 50.50—0.8765p < 0.0063Unclearrank-biserial r = 0.052negligible
Days on marketMann–Whitney UU = 46.50—0.9384p < 0.0063Unclearrank-biserial r = 0.031negligible
Discount from original listMann–Whitney UU = 36.00—0.3837p < 0.0063Unclearrank-biserial r = 0.250small
Price cut before saleChi-squareχ² = 0.3610.5501p < 0.0063UnclearCramér’s V = 0.134small
Seller paid closing costs or repairsChi-squareχ² = 2.8110.0935p < 0.0063UnclearCramér’s V = 0.375medium

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 20 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.