ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Scofield Farms Ph 01 Sec 02-A

Austin, TX 78727
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 · 7:32 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
45
single-family resale homes
Median net sale price
$469,836
average $457,753
Median net price per SF
$224
average $225
Median days on market
52 days
average 68 days
1. SummaryResale homes · 45 sales · October 26, 2025 – October 25, 2026

This study looks at the 45 resale homes sold in Scofield Farms Ph 01 Sec 02-A in the 365 days to October 25, 2026. A full year is used because only 22 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 sold45 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 $441K · 11 sales$441K–$465K · 11 sales$470K–$522K · 12 salesOver $522K · 11 sales
3. Quartiles by net sale priceResale homes · 45 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.

2026-10-26T07:32:22.908298 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 11 11 12 11 45 sales Sales per group Under $441K: 11 sales (24%) $441K–$465K: 11 sales (24%) $470K–$522K: 12 sales (27%) Over $522K: 11 sales (24%)
Bottom line

3.1 Key differences

The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.

Under $441K$441K–$465K$470K–$522KOver $522K
Higher-priced homes Over $522K
  • Are much larger.
  • Tend to be newer.
  • Sell closer to their first asking price.
Lower-priced homes Under $441K
  • Are much smaller.
  • Tend to be older.
  • Sell further below their first asking price.

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 $441K$441K–$465K$470K–$522KOver $522KReal difference?
Net price per SF$234 per SF$213 per SF$222 per SF$230 per SFunclear
Living area1,431 SFSmallest2,183 SF2,251 SF2,473 SFLargest✓ large
Year built1986Oldest19971998Newest1994✓ large
Days on market52 days78 days51 days51 daysunclear
Discount from original list10.5%11.8%Biggest5.4%3.9%Smallest✓ large
Price cut before sale55%73%42%36%unclear
Seller paid closing costs or repairs45%55%50%73%unclear
Has a view9%9%8%9%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

2026-10-26T07:32:22.937169 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $441K 11 sales $441K– $465K 11 sales $470K– $522K 12 sales Over $522K 11 sales $0 $100 $200 $234 $213 $222 $230 Net price per SF, average

The average is $230 per SF for homes over $522K and $234 per SF for homes under $441K. It does not move in a straight line; homes under $441K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Homes over $522K are about 1,040 SF (73%) larger than homes under $441K

2026-10-26T07:32:22.960027 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $441K 11 sales $441K– $465K 11 sales $470K– $522K 12 sales Over $522K 11 sales 0 1,000 2,000 1,431 2,183 2,251 2,473 Living area (SF), average

The average is 2,473 SF for homes over $522K and 1,431 SF for homes under $441K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

✓ Real difference · large

3.5 Homes over $522K are about 8 years newer than homes under $441K

2026-10-26T07:32:22.984101 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $441K 11 sales $441K– $465K 11 sales $470K– $522K 12 sales Over $522K 11 sales 1988 1992 1996 2000 1986 1997 1998 1994 Year built: median (dot) and middle half (bar)

The median is 1994 for homes over $522K and 1986 for homes under $441K. It does not move in a straight line; homes $470K–$522K are highest. Defined in 8.1.4.

✓ Real difference · large

3.6 Days on market: no clear difference

2026-10-26T07:32:23.007179 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $441K 11 sales $441K– $465K 11 sales $470K– $522K 12 sales Over $522K 11 sales 0 25 50 75 52 78 51 51 Days on market, median

The median is 51 days for homes over $522K and 52 days for homes under $441K. It does not move in a straight line; homes $441K–$465K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Homes over $522K sell about 7 percentage points closer to their first asking price than homes under $441K

2026-10-26T07:32:23.029755 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $441K 11 sales $441K– $465K 11 sales $470K– $522K 12 sales Over $522K 11 sales 0.0% 5.0% 10.0% 10.5% 11.8% 5.4% 3.9% Discount from original list, average

The average is 3.9% for homes over $522K and 10.5% for homes under $441K. It does not move in a straight line; homes $441K–$465K are highest. Defined in 8.1.6.

✓ Real difference · large

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

2026-10-26T07:32:23.059538 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% 55 45 9 73 55 9 42 50 8 36 73 9 Under $441K $441K–$465K $470K–$522K Over $522K

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

  • 36% of homes over $522K had a price cut before sale, against 55% of homes under $441K. Defined in 8.1.7.
  • 73% of homes over $522K had the seller pay closing costs or repairs, against 45% of homes under $441K. Defined in 8.1.8.
  • 9% of homes over $522K have a view, against 9% of homes under $441K. 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 $441K11 sales$441K–$465K11 sales$470K–$522K12 salesOver $522K11 salesAll45 salesReal difference?
Net sale price average$329,059$451,873$490,855$556,216$457,753by design
Net price per SF average$234$213$222$230$225unclear
Living area average1,4312,1832,2512,4732,088✓ large
Year built median19861997199819941995✓ large

3.10 The numbers: selling

Under $441K11 sales$441K–$465K11 sales$470K–$522K12 salesOver $522K11 salesAll45 salesReal difference?
Days on market median5278515152unclear
Discount from original list average10.5%11.8%5.4%3.9%7.8%✓ large
Price cut before sale55%73%42%36%51%unclear
Seller paid closing costs or repairs45%55%50%73%56%unclear
Has a view9%9%8%9%9%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 · 45 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.

2026-10-26T07:32:23.080541 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 10 12 12 11 45 sales Sales per group Under 1,783 SF: 10 sales (22%) 1,783–2,015 SF: 12 sales (27%) 2,095–2,531 SF: 12 sales (27%) Over 2,531 SF: 11 sales (24%)
Bottom line

4.1 Key differences

The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.

Under 1,783 SF1,783–2,015 SF2,095–2,531 SFOver 2,531 SF
Larger homes Over 2,531 SF
  • Sell for much more.
  • Sell for less per square foot.
  • Tend to be newer.
Smaller homes Under 1,783 SF
  • Sell for much less.
  • Sell for more per square foot.
  • Tend to be older.

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 1,783 SF1,783–2,015 SF2,095–2,531 SFOver 2,531 SFReal difference?
Net sale price$342KLowest$461K$485K$529KHighest✓ large
Net price per SF$249 per SFHighest$244 per SF$215 per SF$193 per SFLowest✓ large
Year built1986Oldest19961998Newest1995✓ large
Days on market52 days53 days54 days62 daysunclear
Discount from original list8.1%8.8%7.7%6.7%unclear
Price cut before sale60%50%50%45%unclear
Seller paid closing costs or repairs60%42%67%55%unclear
Has a view0%25%8%0%unclear

4.3 Homes over 2,531 SF sell for about $187K (54%) more than homes under 1,783 SF

2026-10-26T07:32:23.101625 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,783 SF 10 sales 1,783– 2,015 SF 12 sales 2,095– 2,531 SF 12 sales Over 2,531 SF 11 sales $0K $200K $400K $600K $342K $461K $485K $529K Net sale price, average

The average is $529K for homes over 2,531 SF and $342K for homes under 1,783 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

✓ Real difference · large

4.4 Homes over 2,531 SF sell for about $56 per SF (23%) less than homes under 1,783 SF

2026-10-26T07:32:23.125616 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,783 SF 10 sales 1,783– 2,015 SF 12 sales 2,095– 2,531 SF 12 sales Over 2,531 SF 11 sales $0 $100 $200 $249 $244 $215 $193 Net price per SF, average

The average is $193 per SF for homes over 2,531 SF and $249 per SF for homes under 1,783 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

✓ Real difference · large

4.5 Homes over 2,531 SF are about 9 years newer than homes under 1,783 SF

2026-10-26T07:32:23.149909 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,783 SF 10 sales 1,783– 2,015 SF 12 sales 2,095– 2,531 SF 12 sales Over 2,531 SF 11 sales 1988 1992 1996 2000 1986 1996 1998 1995 Year built: median (dot) and middle half (bar)

The median is 1995 for homes over 2,531 SF and 1986 for homes under 1,783 SF. It does not move in a straight line; homes 2,095–2,531 SF are highest. Defined in 8.1.4.

✓ Real difference · large

4.6 Days on market: no clear difference

2026-10-26T07:32:23.173351 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,783 SF 10 sales 1,783– 2,015 SF 12 sales 2,095– 2,531 SF 12 sales Over 2,531 SF 11 sales 0 20 40 60 52 53 54 62 Days on market, median

The median is 62 days for homes over 2,531 SF and 52 days for homes under 1,783 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-26T07:32:23.196518 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,783 SF 10 sales 1,783– 2,015 SF 12 sales 2,095– 2,531 SF 12 sales Over 2,531 SF 11 sales 0.0% 5.0% 10.0% 8.1% 8.8% 7.7% 6.7% Discount from original list, average

The average is 6.7% for homes over 2,531 SF and 8.1% for homes under 1,783 SF. It does not move in a straight line; homes 1,783–2,015 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

2026-10-26T07:32:23.223439 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% 60 60 0 50 42 25 50 67 8 45 55 0 Under 1,783 SF 1,783–2,015 SF 2,095–2,531 SF Over 2,531 SF

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

  • 45% of homes over 2,531 SF had a price cut before sale, against 60% of homes under 1,783 SF. Defined in 8.1.7.
  • 55% of homes over 2,531 SF had the seller pay closing costs or repairs, against 60% of homes under 1,783 SF. Defined in 8.1.8.
  • 0% of homes over 2,531 SF have a view, against 0% of homes under 1,783 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 1,783 SF10 sales1,783–2,015 SF12 sales2,095–2,531 SF12 salesOver 2,531 SF11 salesAll45 salesReal difference?
Net sale price average$342,464$460,945$485,344$528,979$457,753✓ large
Net price per SF average$249$244$215$193$225✓ large
Living area average1,3781,8902,2602,7632,088by design
Year built median19861996199819951995✓ large

4.10 The numbers: selling

Under 1,783 SF10 sales1,783–2,015 SF12 sales2,095–2,531 SF12 salesOver 2,531 SF11 salesAll45 salesReal difference?
Days on market median5253546252unclear
Discount from original list average8.1%8.8%7.7%6.7%7.8%unclear
Price cut before sale60%50%50%45%51%unclear
Seller paid closing costs or repairs60%42%67%55%56%unclear
Has a view0%25%8%0%9%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 · 45 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.

2026-10-26T07:32:23.244115 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 10 10 14 11 45 sales Sales per group Before 1992: 10 sales (22%) 1992–1994: 10 sales (22%) 1995–1998: 14 sales (31%) After 1998: 11 sales (24%)
Bottom line

5.1 Key differences

The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.

Before 19921992–19941995–1998After 1998
Newer homes After 1998
  • Are much larger.
  • Sell for less per square foot.
Older homes Before 1992
  • Are much smaller.
  • Sell for more per square foot.

5.2 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.

Before 19921992–19941995–1998After 1998Real difference?
Net sale price$376K$494K$468K$487Kunclear
Net price per SF$257 per SFHighest$215 per SF$225 per SF$205 per SFLowest✓ large
Living area1,452 SFSmallest2,325 SF2,103 SF2,433 SFLargest✓ large
Days on market52 days30 days57 days65 daysunclear
Discount from original list6.4%6.7%10.3%7.1%unclear
Price cut before sale40%30%71%55%unclear
Seller paid closing costs or repairs60%60%57%45%unclear
Has a view0%30%0%9%unclear

5.3 Net sale price: no clear difference

2026-10-26T07:32:23.265339 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1992 10 sales 1992– 1994 10 sales 1995– 1998 14 sales After 1998 11 sales $0K $200K $400K $376K $494K $468K $487K Net sale price, average

The average is $487K for homes built after 1998 and $376K for homes built before 1992. It does not move in a straight line; homes built 1992–1994 are highest. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Homes built after 1998 sell for about $52 per SF (20%) less than homes built before 1992

2026-10-26T07:32:23.288254 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1992 10 sales 1992– 1994 10 sales 1995– 1998 14 sales After 1998 11 sales $0 $100 $200 $300 $257 $215 $225 $205 Net price per SF, average

The average is $205 per SF for homes built after 1998 and $257 per SF for homes built before 1992. It does not move in a straight line; homes built before 1992 are highest. Defined in 8.1.2.

✓ Real difference · large

5.5 Homes built after 1998 are about 980 SF (68%) larger than homes built before 1992

2026-10-26T07:32:23.310777 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1992 10 sales 1992– 1994 10 sales 1995– 1998 14 sales After 1998 11 sales 0 1,000 2,000 1,452 2,325 2,103 2,433 Living area (SF), average

The average is 2,433 SF for homes built after 1998 and 1,452 SF for homes built before 1992. It does not move in a straight line; homes built after 1998 are highest. Defined in 8.1.3.

✓ Real difference · large

5.6 Days on market: no clear difference

2026-10-26T07:32:23.332155 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1992 10 sales 1992– 1994 10 sales 1995– 1998 14 sales After 1998 11 sales 0 20 40 60 52 30 57 65 Days on market, median

The median is 65 days for homes built after 1998 and 52 days for homes built before 1992. It does not move in a straight line; homes built after 1998 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-10-26T07:32:23.354884 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1992 10 sales 1992– 1994 10 sales 1995– 1998 14 sales After 1998 11 sales 0.0% 5.0% 10.0% 6.4% 6.7% 10.3% 7.1% Discount from original list, average

The average is 7.1% for homes built after 1998 and 6.4% for homes built before 1992. It does not move in a straight line; homes built 1995–1998 are highest. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-10-26T07:32:23.380425 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 0 30 60 30 71 57 0 55 45 9 Before 1992 1992–1994 1995–1998 After 1998

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

  • 55% of homes built after 1998 had a price cut before sale, against 40% of homes built before 1992. Defined in 8.1.7.
  • 45% of homes built after 1998 had the seller pay closing costs or repairs, against 60% of homes built before 1992. Defined in 8.1.8.
  • 9% of homes built after 1998 have a view, against 0% of homes built before 1992. 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

5.9 The numbers: price and size

Before 199210 sales1992–199410 sales1995–199814 salesAfter 199811 salesAll45 salesReal difference?
Net sale price average$376,414$493,763$467,516$486,535$457,753unclear
Net price per SF average$257$215$225$205$225✓ large
Living area average1,4522,3252,1032,4332,088✓ large
Year built median19861993199620001995by design

5.10 The numbers: selling

Before 199210 sales1992–199410 sales1995–199814 salesAfter 199811 salesAll45 salesReal difference?
Days on market median5230576552unclear
Discount from original list average6.4%6.7%10.3%7.1%7.8%unclear
Price cut before sale40%30%71%55%51%unclear
Seller paid closing costs or repairs60%60%57%45%56%unclear
Has a view0%30%0%9%9%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 8.3.3.

6. View and no viewResale homes · 45 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. 3 sales whose MLS view entry is only “See Remarks” are left out.

2026-10-26T07:32:23.399290 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 38 42 sales Sales per group View: 4 sales (10%) No view: 38 sales (90%)
Bottom line: too few sales to test.

6.1 Key differences

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

6.3 Net sale price: described, not tested

2026-10-26T07:32:23.415505 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 38 sales $0K $200K $400K $446K $456K Net sale price, average

The average is $446K for homes with a view and $456K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-26T07:32:23.433249 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 38 sales $0 $100 $200 $233 $227 Net price per SF, average

The average is $233 per SF for homes with a view and $227 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-26T07:32:23.478664 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 38 sales 0 500 1,000 1,500 2,000 1,919 2,055 Living area (SF), average

The average is 1,919 SF for homes with a view and 2,055 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-26T07:32:23.498321 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 38 sales 1992 1994 1996 1998 1992 1995 Year built: median (dot) and middle half (bar)

The median is 1992 for homes with a view and 1995 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-10-26T07:32:23.516001 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 38 sales 0 20 40 60 55 52 Days on market, median

The median is 55 days for homes with a view and 52 days for homes without a view. Defined in 8.1.5.

Not tested: too few sales.

6.8 Discount from original list: described, not tested

2026-10-26T07:32:23.534722 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 38 sales 0.0% 5.0% 10.0% 11.0% 7.3% Discount from original list, average

The average is 11.0% for homes with a view and 7.3% for homes without a view. Defined in 8.1.6.

Not tested: too few sales.

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

2026-10-26T07:32:23.553131 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 25 25 53 61 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 53% of homes without a view. Defined in 8.1.7.
  • 25% of homes with a view had the seller pay closing costs or repairs, against 61% of homes without a view. Defined in 8.1.8.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.

6.10 The numbers: price and size

View4 salesNo view38 salesAll42 sales
Net sale price average$445,860$456,459$455,450
Net price per SF average$233$227$228
Living area average1,9192,0552,042
Year built median199219951995

6.11 The numbers: selling

View4 salesNo view38 salesAll42 sales
Days on market median555252
Discount from original list average11.0%7.3%7.7%
Price cut before sale25%53%50%
Seller paid closing costs or repairs25%61%57%

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 Scofield Farms Ph 01 Sec 02-A.

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
45 resale sales. Average $457,753; median $469,836; standard deviation $87,242; middle half (25th–75th percentile) $441,000–$522,500; lowest $265,000, highest $610,000. 25 sales had a seller payment; their median payment was $8,000.

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
45 resale sales. Average $225; median $224; standard deviation $35; middle half (25th–75th percentile) $203–$244; lowest $141, highest $304.

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
45 resale sales. Average 2,088; median 2,095; standard deviation 522; middle half (25th–75th percentile) 1,783–2,531; lowest 1,112, highest 3,200.

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
45 resale sales. Average 1994; median 1995; standard deviation 5; middle half (25th–75th percentile) 1992–1998; lowest 1985, highest 2001.

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
45 resale sales. Average 68; median 52; standard deviation 60; middle half (25th–75th percentile) 18–85; lowest 3, highest 232. 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
45 resale sales. Average 7.8%; median 7.8%; standard deviation 6.2%; middle half (25th–75th percentile) 3.0%–10.2%; lowest −3.8%, highest 23.6%. 2 sales closed above their first asking price.

8.1.7 Price cut before sale

In simple terms
The asking price was lowered at least once before the home went under contract.
Statistically
Indicator: ListPrice at close < OriginalListPrice. Reported as the share of sales (%).
The data
23 of 45 resale sales (51.1%).

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
25 of 45 resale sales (55.6%).

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
4 sales with a view, 38 without, 3 unclassified. Most common View entries: None 32, Neighborhood 6, Park/Greenbelt 3, See Remarks 3, Trees/Woods 1.

8.2 Methods

8.2.1 Data source

In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
Bridge Interactive RESO Web API (OData), ABOR dataset, every field returned. Filter: StandardStatus = Closed, PropertyType = Residential, City = Austin, SubdivisionName contains any of “scofield farms”, “scofield” (case-insensitive). A record is kept when its subdivision name belongs to the Scofield Farms Ph 01 Sec 02-A family, the same rule comparable sales use (it includes Scofield Ph 06 Sec 01, proven adjacent and priced alike).
The data
Pulled October 26, 2026: 46 closed Scofield Farms Ph 01 Sec 02-A records over the prior year, in ZIP 78727. 20 subdivision spellings kept, the most common: Scofield Farms Ph 02 Sec 01 (5); Scofield Farms Ph 01 Sec 02-A (5); Scofield Ph 06 Sec 01 (3); Scofield Farms (3); Scofield Farms Ph 03 Sec 03 (3); Scofield Ph 06 Sec 03 (3); Scofield Ph 07 Sec 03-B (3); Scofield Farms Ph 08 Sec 01 (3); Scofield Farms Ph 10 Sec 03 (2); Scofield Farms Ph 10 Sec 02 (2); Scofield Farms Ph 08 Sec 04 (2); Scofield Farms Ph 08 Sec 07 (2); and 8 more (10 records). Names found by the search but not part of Scofield Farms Ph 01 Sec 02-A, left out: Scofield Ridge Condo Amd (6); Scofield Villas Amd (4); Scofield Farms Mdws Condo (3); Scofield Villas Condominiums (1); Scofield Ridge Condos (1); Cottages at Scofield Ridge (1); SCOFIELD FARMS PHS 3 SEC 3 (1); SCOFIELD VILLAS CONDOMINIUMS (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 22 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
45 single-family sales in the window: 45 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
45 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
1 sale(s) with no original list price

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 $441K”.
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 $441K: $265,000–$390,000 (11 sales); $441K–$465K: $441,000–$465,000 (11 sales); $470K–$522K: $469,836–$522,500 (12 sales); Over $522K: $527,500–$610,000 (11 sales)
Quartiles by living area: Under 1,783 SF: 1,112–1,758 SF (10 sales); 1,783–2,015 SF: 1,783–2,015 SF (12 sales); 2,095–2,531 SF: 2,095–2,531 SF (12 sales); Over 2,531 SF: 2,542–3,200 SF (11 sales)
Quartiles by year built: Before 1992: 1985–1991 (10 sales); 1992–1994: 1992–1994 (10 sales); 1995–1998: 1995–1998 (14 sales); After 1998: 1999–2001 (11 sales)
View and no view: View: MLS lists a view (4 sales); No view: None or Neighborhood (38 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 $457,753, median $469,836. Days on market: average 68, median 52: 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; Quartiles by year built: 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
8 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 = 1.9030.5941p < 0.0063Unclearε² = 0.043small
Living areaKruskal–WallisH = 24.413< 0.0001p < 0.0063Yesε² = 0.555large
Year builtKruskal–WallisH = 19.7130.0002p < 0.0063Yesε² = 0.448large
Days on marketKruskal–WallisH = 4.9730.1741p < 0.0063Unclearε² = 0.113medium
Discount from original listKruskal–WallisH = 13.2630.0041p < 0.0063Yesε² = 0.301large
Price cut before saleChi-squareχ² = 3.4930.3215p < 0.0063UnclearCramér’s V = 0.279small
Seller paid closing costs or repairsChi-squareχ² = 1.9230.5886p < 0.0063UnclearCramér’s V = 0.207small
Has a viewChi-squareχ² = 0.0130.9999p < 0.0063UnclearCramér’s V = 0.012negligible

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 23.043< 0.0001p < 0.0063Yesε² = 0.524large
Net price per SFKruskal–WallisH = 20.2630.0002p < 0.0063Yesε² = 0.460large
Year builtKruskal–WallisH = 13.6930.0034p < 0.0063Yesε² = 0.311large
Days on marketKruskal–WallisH = 0.1130.9910p < 0.0063Unclearε² = 0.002negligible
Discount from original listKruskal–WallisH = 1.4830.6875p < 0.0063Unclearε² = 0.034small
Price cut before saleChi-squareχ² = 0.4730.9257p < 0.0063UnclearCramér’s V = 0.102small
Seller paid closing costs or repairsChi-squareχ² = 1.6230.6544p < 0.0063UnclearCramér’s V = 0.190small
Has a viewChi-squareχ² = 5.9030.1166p < 0.0063UnclearCramér’s V = 0.362medium

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 8.7630.0326p < 0.0063Unclearε² = 0.199large
Net price per SFKruskal–WallisH = 13.3430.0040p < 0.0063Yesε² = 0.303large
Living areaKruskal–WallisH = 19.2730.0002p < 0.0063Yesε² = 0.438large
Days on marketKruskal–WallisH = 2.6630.4479p < 0.0063Unclearε² = 0.060medium
Discount from original listKruskal–WallisH = 2.8230.4201p < 0.0063Unclearε² = 0.064medium
Price cut before saleChi-squareχ² = 4.6430.1999p < 0.0063UnclearCramér’s V = 0.321medium
Seller paid closing costs or repairsChi-squareχ² = 0.6330.8898p < 0.0063UnclearCramér’s V = 0.118small
Has a viewChi-squareχ² = 7.8530.0493p < 0.0063UnclearCramér’s V = 0.418medium

8.3.4 View and no view

Too few sales in a group to test.

8.4 Data notes

Left out of the analysis: 0 new-construction sales (basic statistics only, section 7); 1 sale(s) with no original list price. 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 45 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.