ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Serenada East

Georgetown, TX 78628
Resale homes · closed Oct 22 – Oct 21, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
October 22, 2026 · 4:42 PM 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
13
single-family resale homes
Median net sale price
$390,000
average $394,125
Median net price per SF
$221
average $222
Median days on market
23 days
average 57 days

1. Summary

This study looks at the 13 resale homes sold in Serenada East in the 365 days to October 21, 2026. A full year is used because only 5 resale homes sold in the last 180 days. New construction is left out and shown on its own in section 8. 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.

Key differences

The top group against the bottom group. Only real differences are listed. Section 9 explains each measure.

2. At a glance

One table per comparison. 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.

2.1 Quartiles by net sale price

Under $356K$356K–$370K$390K–$445KOver $445KReal difference?
Net price per SF$216 per SF$200 per SF$197 per SF$284 per SFno
Living area1,411 SF1,822 SF2,156 SF1,707 SFno
Year built1986198119841979no
Days on market105 days7 days6 days25 daysno
Discount from original list-47.5%6.1%6.5%1.5%no
Price cut before sale33%0%25%0%no
Seller paid closing costs or repairs0%33%50%67%no
Has a view0%33%50%67%no

2.2 Quartiles by living area

Under 1,509 SF1,509–1,771 SF1,788–2,018 SFOver 2,018 SFReal difference?
Net sale price$378K$329K$436K$420Kno
Net price per SF$267 per SF$198 per SF$232 per SF$189 per SFno
Year built1983198119801984no
Days on market105 days23 days10 days6 daysno
Discount from original list6.2%-49.6%3.2%7.9%no
Price cut before sale33%0%0%33%no
Seller paid closing costs or repairs33%0%50%67%no
Has a view33%0%75%33%no

2.3 Quartiles by year built

Before 19791979–19811983–1985After 1985Real difference?
Net sale price$430K$420K$381K$337Kno
Net price per SF$234 per SF$237 per SF$206 per SF$206 per SFno
Living area1,917 SF1,766 SF1,885 SF1,659 SFno
Days on market25 days20 days7 days23 daysno
Discount from original list11.4%3.1%5.1%-51.8%no
Price cut before sale33%0%33%0%no
Seller paid closing costs or repairs100%25%0%33%no
Has a view67%25%33%33%no

2.4 View and no view

ViewNo viewReal difference?
Net sale price$434K$385Kno
Net price per SF$236 per SF$219 per SFno
Living area1,882 SF1,790 SFno
Year built19811981no
Days on market7 days31 daysno
Discount from original list3.1%7.1%no
Price cut before sale0%29%no
Seller paid closing costs or repairs60%29%no

3. Where the resale homes sold

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 $356K · 3 sales$356K–$370K · 3 sales$390K–$445K · 4 salesOver $445K · 3 sales
4. Quartiles by net sale priceResale homes · 13 sales · October 22, 2025 – October 21, 2026

Sales ranked by net sale price and cut into four equal groups. This is the usual way to read a market by price.

2026-10-22T16:42:33.932839 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 3 4 3 13 sales Sales per group Under $356K: 3 sales (23%) $356K–$370K: 3 sales (23%) $390K–$445K: 4 sales (31%) Over $445K: 3 sales (23%)
Bottom line: too few sales to test.

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 9.3.

4.1 Net price per SF: described, not tested

2026-10-22T16:42:33.960996 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $356K 3 sales $356K– $370K 3 sales $390K– $445K 4 sales Over $445K 3 sales $0 $100 $200 $300 $216 $200 $197 $284 Net price per SF, average

The average is $284 per SF for homes over $445K and $216 per SF for homes under $356K. It does not move in a straight line; homes over $445K are highest. Defined in 9.1.2.

Not tested: too few sales.

4.2 Living area: described, not tested

2026-10-22T16:42:33.984160 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $356K 3 sales $356K– $370K 3 sales $390K– $445K 4 sales Over $445K 3 sales 0 1,000 2,000 1,411 1,822 2,156 1,707 Living area (SF), average

The average is 1,707 SF for homes over $445K and 1,411 SF for homes under $356K. It does not move in a straight line; homes $390K–$445K are highest. Defined in 9.1.3.

Not tested: too few sales.

4.3 Year built: described, not tested

2026-10-22T16:42:34.009110 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $356K 3 sales $356K– $370K 3 sales $390K– $445K 4 sales Over $445K 3 sales 1980 1984 1988 1992 1996 1986 1981 1984 1979 Year built: median (dot) and middle half (bar)

The median is 1979 for homes over $445K and 1986 for homes under $356K. It does not move in a straight line; homes under $356K are highest. Defined in 9.1.4.

Not tested: too few sales.

4.4 Days on market: described, not tested

2026-10-22T16:42:34.032737 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $356K 3 sales $356K– $370K 3 sales $390K– $445K 4 sales Over $445K 3 sales 0 50 100 105 7 6 25 Days on market, median

The median is 25 days for homes over $445K and 105 days for homes under $356K. It does not move in a straight line; homes under $356K are highest. Defined in 9.1.5.

Not tested: too few sales.

4.5 Discount from original list: described, not tested

2026-10-22T16:42:34.054518 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $356K 3 sales $356K– $370K 3 sales $390K– $445K 4 sales Over $445K 3 sales -40.0% -20.0% 0.0% -47.5% 6.1% 6.5% 1.5% Discount from original list, average

The average is 1.5% for homes over $445K and -47.5% for homes under $356K. It does not move in a straight line; homes $390K–$445K are highest. Defined in 9.1.6.

Not tested: too few sales.

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

2026-10-22T16:42:34.083723 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 0 0 0 33 33 25 50 50 0 67 67 Under $356K $356K–$370K $390K–$445K Over $445K

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

  • 0% of homes over $445K had a price cut before sale, against 33% of homes under $356K. Defined in 9.1.7.
  • 67% of homes over $445K had the seller pay closing costs or repairs, against 0% of homes under $356K. Defined in 9.1.8.
  • 67% of homes over $445K have a view, against 0% of homes under $356K. Defined in 9.1.9.
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.

4.7 The numbers: price and size

Under $356K3 sales$356K–$370K3 sales$390K–$445K4 salesOver $445K3 salesAll13 sales
Net sale price average$301,902$361,033$423,375$480,442$394,125
Net price per SF average$216$200$197$284$222
Living area average1,4111,8222,1561,7071,804
Year built median19861981198419791981

4.8 The numbers: selling

Under $356K3 sales$356K–$370K3 sales$390K–$445K4 salesOver $445K3 salesAll13 sales
Days on market median105762523
Discount from original list average−47.5%6.1%6.5%1.5%−7.2%
Price cut before sale33%0%25%0%15%
Seller paid closing costs or repairs0%33%50%67%38%
Has a view0%33%50%67%38%

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 9.3.1.

5. Quartiles by living areaResale homes · 13 sales · October 22, 2025 – October 21, 2026

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

2026-10-22T16:42:34.103919 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 3 4 3 13 sales Sales per group Under 1,509 SF: 3 sales (23%) 1,509–1,771 SF: 3 sales (23%) 1,788–2,018 SF: 4 sales (31%) Over 2,018 SF: 3 sales (23%)
Bottom line: too few sales to test.

5.1 Net sale price: described, not tested

2026-10-22T16:42:34.124555 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,509 SF 3 sales 1,509– 1,771 SF 3 sales 1,788– 2,018 SF 4 sales Over 2,018 SF 3 sales $0K $200K $400K $378K $329K $436K $420K Net sale price, average

The average is $420K for homes over 2,018 SF and $378K for homes under 1,509 SF. It does not move in a straight line; homes 1,788–2,018 SF are highest. Defined in 9.1.1.

Not tested: too few sales.

5.2 Net price per SF: described, not tested

2026-10-22T16:42:34.147166 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,509 SF 3 sales 1,509– 1,771 SF 3 sales 1,788– 2,018 SF 4 sales Over 2,018 SF 3 sales $0 $100 $200 $300 $267 $198 $232 $189 Net price per SF, average

The average is $189 per SF for homes over 2,018 SF and $267 per SF for homes under 1,509 SF. It does not move in a straight line; homes under 1,509 SF are highest. Defined in 9.1.2.

Not tested: too few sales.

5.3 Year built: described, not tested

2026-10-22T16:42:34.171268 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,509 SF 3 sales 1,509– 1,771 SF 3 sales 1,788– 2,018 SF 4 sales Over 2,018 SF 3 sales 1980 1984 1988 1992 1983 1981 1980 1984 Year built: median (dot) and middle half (bar)

The median is 1984 for homes over 2,018 SF and 1983 for homes under 1,509 SF. It does not move in a straight line; homes over 2,018 SF are highest. Defined in 9.1.4.

Not tested: too few sales.

5.4 Days on market: described, not tested

2026-10-22T16:42:34.194477 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,509 SF 3 sales 1,509– 1,771 SF 3 sales 1,788– 2,018 SF 4 sales Over 2,018 SF 3 sales 0 50 100 105 23 10 6 Days on market, median

The median is 6 days for homes over 2,018 SF and 105 days for homes under 1,509 SF. It falls step by step from the lowest range to the highest. Defined in 9.1.5.

Not tested: too few sales.

5.5 Discount from original list: described, not tested

2026-10-22T16:42:34.216608 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,509 SF 3 sales 1,509– 1,771 SF 3 sales 1,788– 2,018 SF 4 sales Over 2,018 SF 3 sales -40.0% -20.0% 0.0% 6.2% -49.6% 3.2% 7.9% Discount from original list, average

The average is 7.9% for homes over 2,018 SF and 6.2% for homes under 1,509 SF. It does not move in a straight line; homes over 2,018 SF are highest. Defined in 9.1.6.

Not tested: too few sales.

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

2026-10-22T16:42:34.242616 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 33 0 0 0 0 50 75 33 67 33 Under 1,509 SF 1,509–1,771 SF 1,788–2,018 SF Over 2,018 SF

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

  • 33% of homes over 2,018 SF had a price cut before sale, against 33% of homes under 1,509 SF. Defined in 9.1.7.
  • 67% of homes over 2,018 SF had the seller pay closing costs or repairs, against 33% of homes under 1,509 SF. Defined in 9.1.8.
  • 33% of homes over 2,018 SF have a view, against 33% of homes under 1,509 SF. Defined in 9.1.9.
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.

5.7 The numbers: price and size

Under 1,509 SF3 sales1,509–1,771 SF3 sales1,788–2,018 SF4 salesOver 2,018 SF3 salesAll13 sales
Net sale price average$378,300$328,502$436,181$419,500$394,125
Net price per SF average$267$198$232$189$222
Living area average1,4101,6521,8942,2281,804
Year built median19831981198019841981

5.8 The numbers: selling

Under 1,509 SF3 sales1,509–1,771 SF3 sales1,788–2,018 SF4 salesOver 2,018 SF3 salesAll13 sales
Days on market median1052310623
Discount from original list average6.2%−49.6%3.2%7.9%−7.2%
Price cut before sale33%0%0%33%15%
Seller paid closing costs or repairs33%0%50%67%38%
Has a view33%0%75%33%38%

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 9.3.2.

6. Quartiles by year builtResale homes · 13 sales · October 22, 2025 – October 21, 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.

2026-10-22T16:42:34.262392 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 4 3 3 13 sales Sales per group Before 1979: 3 sales (23%) 1979–1981: 4 sales (31%) 1983–1985: 3 sales (23%) After 1985: 3 sales (23%)
Bottom line: too few sales to test.

6.1 Net sale price: described, not tested

2026-10-22T16:42:34.282770 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1979 3 sales 1979– 1981 4 sales 1983– 1985 3 sales After 1985 3 sales $0K $200K $400K $430K $420K $381K $337K Net sale price, average

The average is $337K for homes built after 1985 and $430K for homes built before 1979. It falls step by step from the lowest range to the highest. Defined in 9.1.1.

Not tested: too few sales.

6.2 Net price per SF: described, not tested

2026-10-22T16:42:34.305136 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1979 3 sales 1979– 1981 4 sales 1983– 1985 3 sales After 1985 3 sales $0 $100 $200 $234 $237 $206 $206 Net price per SF, average

The average is $206 per SF for homes built after 1985 and $234 per SF for homes built before 1979. It does not move in a straight line; homes built 1979–1981 are highest. Defined in 9.1.2.

Not tested: too few sales.

6.3 Living area: described, not tested

2026-10-22T16:42:34.326027 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1979 3 sales 1979– 1981 4 sales 1983– 1985 3 sales After 1985 3 sales 0 1,000 2,000 1,917 1,766 1,885 1,659 Living area (SF), average

The average is 1,659 SF for homes built after 1985 and 1,917 SF for homes built before 1979. It does not move in a straight line; homes built before 1979 are highest. Defined in 9.1.3.

Not tested: too few sales.

6.4 Days on market: described, not tested

2026-10-22T16:42:34.347782 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1979 3 sales 1979– 1981 4 sales 1983– 1985 3 sales After 1985 3 sales 0 10 20 30 25 20 7 23 Days on market, median

The median is 23 days for homes built after 1985 and 25 days for homes built before 1979. It does not move in a straight line; homes built before 1979 are highest. Defined in 9.1.5.

Not tested: too few sales.

6.5 Discount from original list: described, not tested

2026-10-22T16:42:34.369442 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1979 3 sales 1979– 1981 4 sales 1983– 1985 3 sales After 1985 3 sales -40.0% -20.0% 0.0% 11.4% 3.1% 5.1% -51.8% Discount from original list, average

The average is -51.8% for homes built after 1985 and 11.4% for homes built before 1979. It does not move in a straight line; homes built before 1979 are highest. Defined in 9.1.6.

Not tested: too few sales.

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

2026-10-22T16:42:34.394391 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% 33 100 67 0 25 25 33 0 33 0 33 33 Before 1979 1979–1981 1983–1985 After 1985

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

  • 0% of homes built after 1985 had a price cut before sale, against 33% of homes built before 1979. Defined in 9.1.7.
  • 33% of homes built after 1985 had the seller pay closing costs or repairs, against 100% of homes built before 1979. Defined in 9.1.8.
  • 33% of homes built after 1985 have a view, against 67% of homes built before 1979. Defined in 9.1.9.
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.

6.7 The numbers: price and size

Before 19793 sales1979–19814 sales1983–19853 salesAfter 19853 salesAll13 sales
Net sale price average$429,733$420,056$380,667$337,402$394,125
Net price per SF average$234$237$206$206$222
Living area average1,9171,7661,8851,6591,804
Year built median19781981198419891981

6.8 The numbers: selling

Before 19793 sales1979–19814 sales1983–19853 salesAfter 19853 salesAll13 sales
Days on market median252072323
Discount from original list average11.4%3.1%5.1%−51.8%−7.2%
Price cut before sale33%0%33%0%15%
Seller paid closing costs or repairs100%25%0%33%38%
Has a view67%25%33%33%38%

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 9.3.3.

7. View and no viewResale homes · 13 sales · October 22, 2025 – October 21, 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. 1 sales whose MLS view entry is only “See Remarks” are left out.

2026-10-22T16:42:34.412445 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 7 12 sales Sales per group View: 5 sales (42%) No view: 7 sales (58%)
Bottom line: no measure differs enough between the groups to rule out chance.

7.1 Net sale price: no clear difference

2026-10-22T16:42:34.428511 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 7 sales $0K $200K $400K $434K $385K Net sale price, average

The average is $434K for homes with a view and $385K for homes without a view. Defined in 9.1.1.

– No clear difference · could be chance

7.2 Net price per SF: no clear difference

2026-10-22T16:42:34.445947 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 7 sales $0 $100 $200 $236 $219 Net price per SF, average

The average is $236 per SF for homes with a view and $219 per SF for homes without a view. Defined in 9.1.2.

– No clear difference · could be chance

7.3 Living area: no clear difference

2026-10-22T16:42:34.489888 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 7 sales 0 500 1,000 1,500 2,000 1,882 1,790 Living area (SF), average

The average is 1,882 SF for homes with a view and 1,790 SF for homes without a view. Defined in 9.1.3.

– No clear difference · could be chance

7.4 Year built: no clear difference

2026-10-22T16:42:34.509275 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 7 sales 1978 1980 1982 1984 1981 1981 Year built: median (dot) and middle half (bar)

The median is 1981 for homes with a view and 1981 for homes without a view. Defined in 9.1.4.

– No clear difference · could be chance

7.5 Days on market: no clear difference

2026-10-22T16:42:34.526656 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 7 sales 0 10 20 30 7 31 Days on market, median

The median is 7 days for homes with a view and 31 days for homes without a view. Defined in 9.1.5.

– No clear difference · could be chance

7.6 Discount from original list: no clear difference

2026-10-22T16:42:34.545743 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 5 sales No view 7 sales 0.0% 2.0% 4.0% 6.0% 8.0% 3.1% 7.1% Discount from original list, average

The average is 3.1% for homes with a view and 7.1% for homes without a view. Defined in 9.1.6.

– No clear difference · could be chance

7.7 How often: price cut before sale, seller paid closing costs or repairs

2026-10-22T16:42:34.564546 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 0 60 29 29 View No view

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

  • 0% of homes with a view had a price cut before sale, against 29% of homes without a view. Defined in 9.1.7.
  • 60% of homes with a view had the seller pay closing costs or repairs, against 29% of homes without a view. Defined in 9.1.8.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance

7.8 The numbers: price and size

View5 salesNo view7 salesAll12 salesReal difference?
Net sale price average$433,540$385,318$405,410no
Net price per SF average$236$219$226no
Living area average1,8821,7901,828no
Year built median198119811981no

7.9 The numbers: selling

View5 salesNo view7 salesAll12 salesReal difference?
Days on market median73119no
Discount from original list average3.1%7.1%5.4%no
Price cut before sale0%29%17%no
Seller paid closing costs or repairs60%29%42%no

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 9.3.4.

8. New constructionbasic statistics · 0 sales · October 22, 2025 – October 21, 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 Serenada East.

No new-construction sales were reported in ABOR MLS in this window.

Same definitions as the rest of the study (section 9). New construction = NewConstructionYN true, or PropertyCondition “New Construction” or “Under Construction”.

9. Appendix: measures, methods and tests

Each measure and method three ways: in plain words, as statistics, and with the data from this study.

9.1 Measures

9.1.1 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
13 resale sales. Average $394,125; median $390,000; standard deviation $70,503; middle half (25th–75th percentile) $356,298–$445,000; lowest $258,707, highest $488,425. 5 sales had a seller payment; their median payment was $10,000.

9.1.2 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
13 resale sales. Average $222; median $221; standard deviation $44; middle half (25th–75th percentile) $196–$252; lowest $169, highest $324.

9.1.3 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
13 resale sales. Average 1,804; median 1,788; standard deviation 317; middle half (25th–75th percentile) 1,509–2,018; lowest 1,312, highest 2,301.

9.1.4 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
13 resale sales. Average 1984; median 1981; standard deviation 8; middle half (25th–75th percentile) 1979–1985; lowest 1978, highest 2007.

9.1.5 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
13 resale sales. Average 57; median 23; standard deviation 93; middle half (25th–75th percentile) 7–31; lowest 3, highest 324. 0 sales went under contract on their listing date (0 days).

9.1.6 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
13 resale sales. Average −7.2%; median 2.4%; standard deviation 46.0%; middle half (25th–75th percentile) 0.4%–5.2%; lowest −158.7%, highest 23.3%. 1 sales closed above their first asking price.

9.1.7 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
2 of 13 resale sales (15.4%).

9.1.8 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
5 of 13 resale sales (38.5%).

9.1.9 Has a view

In simple terms
The MLS says the home looks over something: a greenbelt or park, trees, golf course, hill country, water and similar.
Statistically
View = the View field holds any entry other than “None”, “Neighborhood” or “See Remarks”. No view = only “None” and/or “Neighborhood”. A record whose only entry is “See Remarks” cannot be classified and is left out of the view slice.
The data
5 sales with a view, 7 without, 1 unclassified. Most common View entries: Neighborhood 6, Trees/Woods 4, None 3, Rural 1, See Remarks 1.

9.2 Methods

9.2.1 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 = Georgetown, SubdivisionName contains any of “serenada east” (case-insensitive). A record is kept when its subdivision name belongs to the Serenada East family, the same rule comparable sales use.
The data
Pulled October 22, 2026: 13 closed Serenada East records over the prior year, in ZIP 78628. 6 subdivision spellings kept: Serenada East Unit 02 (5); Serenada East Unit 01 (3); Serenada East Unit 04 (2); Serenada East Unit 05 (1); Serenada East Unit 03 (1); Serenada East Un 03 (1). No other names were found by the search.

9.2.2 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 5 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 22, 2025 to October 21, 2026 inclusive.
The data
13 single-family sales in the window: 13 resale, 0 new construction.

9.2.3 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
13 resale; 0 new construction.

9.2.4 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.

9.2.5 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 $356K”.
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 $356K: $258,707–$330,000 (3 sales); $356K–$370K: $356,298–$369,800 (3 sales); $390K–$445K: $390,000–$445,000 (4 sales); Over $445K: $465,000–$488,425 (3 sales)
Quartiles by living area: Under 1,509 SF: 1,312–1,505 SF (3 sales); 1,509–1,771 SF: 1,509–1,771 SF (3 sales); 1,788–2,018 SF: 1,788–2,018 SF (4 sales); Over 2,018 SF: 2,157–2,301 SF (3 sales)
Quartiles by year built: Before 1979: 1978–1978 (3 sales); 1979–1981: 1979–1981 (4 sales); 1983–1985: 1983–1985 (3 sales); After 1985: 1986–2007 (3 sales)
View and no view: View: MLS lists a view (5 sales); No view: None or Neighborhood (7 sales)

9.2.6 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 $394,125, median $390,000. Days on market: average 57, median 23: the average is pulled up by a few long listings.

9.2.7 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 4–6; each result is in 9.3.

9.2.8 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 7; results in 9.3.

9.2.9 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 9.3.

9.2.10 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

9.2.11 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 9.3.

9.2.12 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.

9.3 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.

9.3.1 Quartiles by net sale price

Too few sales in a group to test.

9.3.2 Quartiles by living area

Too few sales in a group to test.

9.3.3 Quartiles by year built

Too few sales in a group to test.

9.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 24.00—0.3434p < 0.0063Norank-biserial r = 0.371medium
Net price per SFMann–Whitney UU = 19.00—0.8763p < 0.0063Norank-biserial r = 0.086negligible
Living areaMann–Whitney UU = 21.00—0.6389p < 0.0063Norank-biserial r = 0.200small
Year builtMann–Whitney UU = 16.00—0.8692p < 0.0063Norank-biserial r = 0.086negligible
Days on marketMann–Whitney UU = 5.50—0.0614p < 0.0063Norank-biserial r = 0.686large
Discount from original listMann–Whitney UU = 13.00—0.5303p < 0.0063Norank-biserial r = 0.257small
Price cut before saleChi-squareχ² = 1.7110.1904p < 0.0063NoCramér’s V = 0.378medium
Seller paid closing costs or repairsChi-squareχ² = 1.1910.2763p < 0.0063NoCramér’s V = 0.314medium

9.4 Data notes

Left out of the analysis: 0 new-construction sales (basic statistics only, section 8); nothing else. Statistics: Python, NumPy 2.5.3, SciPy 1.18.1.

9.5 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 13 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 22, 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.