ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Scofield Farms Ph 01 Sec 02-A

Austin, TX 78727
Resale homes · closed Oct 31 – Oct 30, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
October 31, 2026 · 7:33 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
46
single-family resale homes
Median net sale price
$462,500
average $454,721
Median net price per SF
$228
average $227
Median days on market
52 days
average 67 days
1. SummaryResale homes · 46 sales · October 31, 2025 – October 30, 2026

This study looks at the 46 resale homes sold in Scofield Farms Ph 01 Sec 02-A in the 365 days to October 30, 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 sold46 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 $425K · 12 sales$425K–$460K · 11 sales$465K–$515K · 11 salesOver $515K · 12 sales
3. Quartiles by net sale priceResale homes · 46 sales · October 31, 2025 – October 30, 2026

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

2026-10-31T07:33:55.830512 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 12 11 11 12 46 sales Sales per group Under $425K: 12 sales (26%) $425K–$460K: 11 sales (24%) $465K–$515K: 11 sales (24%) Over $515K: 12 sales (26%)
Bottom line

3.1 Key differences

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

Under $425K$425K–$460K$465K–$515KOver $515K
Higher-priced homes Over $515K
  • Are much larger.
  • Sell closer to their first asking price.
  • Tend to be newer.
Lower-priced homes Under $425K
  • Are much smaller.
  • Sell further below their first asking price.
  • Tend to be older.

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 $425K$425K–$460K$465K–$515KOver $515KReal difference?
Net price per SF$237 per SF$210 per SF$225 per SF$232 per SFunclear
Living area1,442 SFSmallest2,188 SF2,173 SF2,438 SFLargest✓ large
Year built1986Oldest19971998Newest1994✓ large
Days on market44 days78 days49 days34 daysunclear
Discount from original list10.1%12.6%Biggest5.5%3.4%Smallest✓ large
Price cut before sale50%82%45%25%unclear
Seller paid closing costs or repairs50%55%45%67%unclear
Has a view8%9%9%8%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

2026-10-31T07:33:55.863766 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $425K 12 sales $425K– $460K 11 sales $465K– $515K 11 sales Over $515K 12 sales $0 $100 $200 $237 $210 $225 $232 Net price per SF, average

The average is $232 per SF for homes over $515K and $237 per SF for homes under $425K. It does not move in a straight line; homes under $425K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Homes over $515K are about 1,000 SF (69%) larger than homes under $425K

2026-10-31T07:33:55.889560 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $425K 12 sales $425K– $460K 11 sales $465K– $515K 11 sales Over $515K 12 sales 0 1,000 2,000 1,442 2,188 2,173 2,438 Living area (SF), average

The average is 2,438 SF for homes over $515K and 1,442 SF for homes under $425K. It does not move in a straight line; homes over $515K are highest. Defined in 8.1.3.

✓ Real difference · large

3.5 Homes over $515K are about 8 years newer than homes under $425K

2026-10-31T07:33:55.917265 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $425K 12 sales $425K– $460K 11 sales $465K– $515K 11 sales Over $515K 12 sales 1988 1992 1996 2000 1986 1997 1998 1994 Year built: median (dot) and middle half (bar)

The median is 1994 for homes over $515K and 1986 for homes under $425K. It does not move in a straight line; homes $465K–$515K are highest. Defined in 8.1.4.

✓ Real difference · large

3.6 Days on market: no clear difference

2026-10-31T07:33:55.944957 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $425K 12 sales $425K– $460K 11 sales $465K– $515K 11 sales Over $515K 12 sales 0 25 50 75 44 78 49 34 Days on market, median

The median is 34 days for homes over $515K and 44 days for homes under $425K. It does not move in a straight line; homes $425K–$460K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Homes over $515K sell about 7 percentage points closer to their first asking price than homes under $425K

2026-10-31T07:33:55.970717 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $425K 12 sales $425K– $460K 11 sales $465K– $515K 11 sales Over $515K 12 sales 0.0% 5.0% 10.0% 15.0% 10.1% 12.6% 5.5% 3.4% Discount from original list, average

The average is 3.4% for homes over $515K and 10.1% for homes under $425K. It does not move in a straight line; homes $425K–$460K 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

2026-10-31T07:33:56.007192 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 50 50 8 82 55 9 45 45 9 25 67 8 Under $425K $425K–$460K $465K–$515K Over $515K

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

  • 25% of homes over $515K had a price cut before sale, against 50% of homes under $425K. Defined in 8.1.7.
  • 67% of homes over $515K had the seller pay closing costs or repairs, against 50% of homes under $425K. Defined in 8.1.8.
  • 8% of homes over $515K have a view, against 8% of homes under $425K. 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 $425K12 sales$425K–$460K11 sales$465K–$515K11 salesOver $515K12 salesAll46 salesReal difference?
Net sale price average$336,929$448,237$483,032$552,506$454,721by design
Net price per SF average$237$210$225$232$227unclear
Living area average1,4422,1882,1732,4382,055✓ large
Year built median19861997199819941995✓ large

3.10 The numbers: selling

Under $425K12 sales$425K–$460K11 sales$465K–$515K11 salesOver $515K12 salesAll46 salesReal difference?
Days on market median4478493452unclear
Discount from original list average10.1%12.6%5.5%3.4%7.9%✓ large
Price cut before sale50%82%45%25%50%unclear
Seller paid closing costs or repairs50%55%45%67%54%unclear
Has a view8%9%9%8%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 · 46 sales · October 31, 2025 – October 30, 2026

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

2026-10-31T07:33:56.032407 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 11 12 11 12 46 sales Sales per group Under 1,783 SF: 11 sales (24%) 1,783–1,980 SF: 12 sales (26%) 2,015–2,387 SF: 11 sales (24%) Over 2,387 SF: 12 sales (26%)
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 SF1,783–1,980 SF2,015–2,387 SFOver 2,387 SF
Larger homes Over 2,387 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 SF1,783–1,980 SF2,015–2,387 SFOver 2,387 SFReal difference?
Net sale price$350KLowest$457K$483K$523KHighest✓ large
Net price per SF$251 per SFHighest$244 per SF$219 per SF$194 per SFLowest✓ large
Year built1986Oldest19961999Newest1994✓ large
Days on market52 days46 days57 days56 daysunclear
Discount from original list7.9%9.2%7.8%6.6%unclear
Price cut before sale55%58%45%42%unclear
Seller paid closing costs or repairs64%42%55%58%unclear
Has a view0%17%18%0%unclear

4.3 Homes over 2,387 SF sell for about $173K (49%) more than homes under 1,783 SF

2026-10-31T07:33:56.056979 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,783 SF 11 sales 1,783– 1,980 SF 12 sales 2,015– 2,387 SF 11 sales Over 2,387 SF 12 sales $0K $200K $400K $600K $350K $457K $483K $523K Net sale price, average

The average is $523K for homes over 2,387 SF and $350K 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 2,387 SF sell for about $56 per SF (22%) less than homes under 1,783 SF

2026-10-31T07:33:56.087247 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,783 SF 11 sales 1,783– 1,980 SF 12 sales 2,015– 2,387 SF 11 sales Over 2,387 SF 12 sales $0 $100 $200 $300 $251 $244 $219 $194 Net price per SF, average

The average is $194 per SF for homes over 2,387 SF and $251 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 2,387 SF are about 8 years newer than homes under 1,783 SF

2026-10-31T07:33:56.116436 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,783 SF 11 sales 1,783– 1,980 SF 12 sales 2,015– 2,387 SF 11 sales Over 2,387 SF 12 sales 1987 1990 1993 1996 1999 1986 1996 1999 1994 Year built: median (dot) and middle half (bar)

The median is 1994 for homes over 2,387 SF and 1986 for homes under 1,783 SF. It does not move in a straight line; homes 2,015–2,387 SF are highest. Defined in 8.1.4.

✓ Real difference · large

4.6 Days on market: no clear difference

2026-10-31T07:33:56.147527 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,783 SF 11 sales 1,783– 1,980 SF 12 sales 2,015– 2,387 SF 11 sales Over 2,387 SF 12 sales 0 20 40 60 52 46 57 56 Days on market, median

The median is 56 days for homes over 2,387 SF and 52 days for homes under 1,783 SF. It does not move in a straight line; homes 2,015–2,387 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-31T07:33:56.173765 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,783 SF 11 sales 1,783– 1,980 SF 12 sales 2,015– 2,387 SF 11 sales Over 2,387 SF 12 sales 0.0% 5.0% 10.0% 7.9% 9.2% 7.8% 6.6% Discount from original list, average

The average is 6.6% for homes over 2,387 SF and 7.9% for homes under 1,783 SF. It does not move in a straight line; homes 1,783–1,980 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

2026-10-31T07:33:56.207696 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 64 0 58 42 17 45 55 18 42 58 0 Under 1,783 SF 1,783–1,980 SF 2,015–2,387 SF Over 2,387 SF

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

  • 42% of homes over 2,387 SF had a price cut before sale, against 55% of homes under 1,783 SF. Defined in 8.1.7.
  • 58% of homes over 2,387 SF had the seller pay closing costs or repairs, against 64% of homes under 1,783 SF. Defined in 8.1.8.
  • 0% of homes over 2,387 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 SF11 sales1,783–1,980 SF12 sales2,015–2,387 SF11 salesOver 2,387 SF12 salesAll46 salesReal difference?
Net sale price average$349,831$457,208$482,672$522,762$454,721✓ large
Net price per SF average$251$244$219$194$227✓ large
Living area average1,3951,8782,2012,7052,055by design
Year built median19861996199919941995✓ large

4.10 The numbers: selling

Under 1,783 SF11 sales1,783–1,980 SF12 sales2,015–2,387 SF11 salesOver 2,387 SF12 salesAll46 salesReal difference?
Days on market median5246575652unclear
Discount from original list average7.9%9.2%7.8%6.6%7.9%unclear
Price cut before sale55%58%45%42%50%unclear
Seller paid closing costs or repairs64%42%55%58%54%unclear
Has a view0%17%18%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 · 46 sales · October 31, 2025 – October 30, 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.

2026-10-31T07:33:56.234550 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 12 13 10 11 46 sales Sales per group Before 1993: 12 sales (26%) 1993–1995: 13 sales (28%) 1996–1998: 10 sales (22%) 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 19931993–19951996–1998After 1998
Newer homes After 1998
  • Are much larger.
Older homes Before 1993
  • Are much smaller.

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 19931993–19951996–1998After 1998Real difference?
Net sale price$385K$498K$457K$477Kunclear
Net price per SF$254 per SF$212 per SF$233 per SF$209 per SFunclear
Living area1,507 SFSmallest2,367 SFLargest1,992 SF2,342 SF✓ large
Days on market52 days51 days50 days62 daysunclear
Discount from original list7.7%7.2%9.5%7.3%unclear
Price cut before sale42%46%60%55%unclear
Seller paid closing costs or repairs50%62%70%36%unclear
Has a view17%8%0%9%unclear

5.3 Net sale price: no clear difference

2026-10-31T07:33:56.261044 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1993 12 sales 1993– 1995 13 sales 1996– 1998 10 sales After 1998 11 sales $0K $200K $400K $385K $498K $457K $477K Net sale price, average

The average is $477K for homes built after 1998 and $385K for homes built before 1993. It does not move in a straight line; homes built 1993–1995 are highest. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-10-31T07:33:56.291188 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1993 12 sales 1993– 1995 13 sales 1996– 1998 10 sales After 1998 11 sales $0 $100 $200 $300 $254 $212 $233 $209 Net price per SF, average

The average is $209 per SF for homes built after 1998 and $254 per SF for homes built before 1993. It does not move in a straight line; homes built before 1993 are highest. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Homes built after 1998 are about 840 SF (55%) larger than homes built before 1993

2026-10-31T07:33:56.321016 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1993 12 sales 1993– 1995 13 sales 1996– 1998 10 sales After 1998 11 sales 0 1,000 2,000 1,507 2,367 1,992 2,342 Living area (SF), average

The average is 2,342 SF for homes built after 1998 and 1,507 SF for homes built before 1993. It does not move in a straight line; homes built 1993–1995 are highest. Defined in 8.1.3.

✓ Real difference · large

5.6 Days on market: no clear difference

2026-10-31T07:33:56.349273 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1993 12 sales 1993– 1995 13 sales 1996– 1998 10 sales After 1998 11 sales 0 20 40 60 52 51 50 62 Days on market, median

The median is 62 days for homes built after 1998 and 52 days for homes built before 1993. 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

2026-10-31T07:33:56.381779 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1993 12 sales 1993– 1995 13 sales 1996– 1998 10 sales After 1998 11 sales 0.0% 5.0% 10.0% 7.7% 7.2% 9.5% 7.3% Discount from original list, average

The average is 7.3% for homes built after 1998 and 7.7% for homes built before 1993. It does not move in a straight line; homes built 1996–1998 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

2026-10-31T07:33:56.413616 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% 42 50 17 46 62 8 60 70 0 55 36 9 Before 1993 1993–1995 1996–1998 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 42% of homes built before 1993. Defined in 8.1.7.
  • 36% of homes built after 1998 had the seller pay closing costs or repairs, against 50% of homes built before 1993. Defined in 8.1.8.
  • 9% of homes built after 1998 have a view, against 17% of homes built before 1993. 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 199312 sales1993–199513 sales1996–199810 salesAfter 199811 salesAll46 salesReal difference?
Net sale price average$385,137$498,329$457,057$476,971$454,721unclear
Net price per SF average$254$212$233$209$227unclear
Living area average1,5072,3671,9922,3422,055✓ large
Year built median19861994199720001995by design

5.10 The numbers: selling

Before 199312 sales1993–199513 sales1996–199810 salesAfter 199811 salesAll46 salesReal difference?
Days on market median5251506252unclear
Discount from original list average7.7%7.2%9.5%7.3%7.9%unclear
Price cut before sale42%46%60%55%50%unclear
Seller paid closing costs or repairs50%62%70%36%54%unclear
Has a view17%8%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 · 46 sales · October 31, 2025 – October 30, 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.

2026-10-31T07:33:56.439440 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 39 43 sales Sales per group View: 4 sales (9%) No view: 39 sales (91%)
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

2026-10-31T07:33:56.457942 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 39 sales $0K $200K $400K $446K $453K Net sale price, average

The average is $446K for homes with a view and $453K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-31T07:33:56.477386 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 39 sales $0 $100 $200 $233 $229 Net price per SF, average

The average is $233 per SF for homes with a view and $229 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-31T07:33:56.591164 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 39 sales 0 500 1,000 1,500 2,000 1,919 2,017 Living area (SF), average

The average is 1,919 SF for homes with a view and 2,017 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-31T07:33:56.614136 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 39 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

2026-10-31T07:33:56.634294 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 39 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

2026-10-31T07:33:56.656806 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 39 sales 0.0% 5.0% 10.0% 11.0% 7.4% Discount from original list, average

The average is 11.0% for homes with a view and 7.4% 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

2026-10-31T07:33:56.677217 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 25 25 51 59 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 51% 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 59% 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 view39 salesAll43 sales
Net sale price average$445,860$452,916$452,260
Net price per SF average$233$229$230
Living area average1,9192,0172,008
Year built median199219951995

6.11 The numbers: selling

View4 salesNo view39 salesAll43 sales
Days on market median555252
Discount from original list average11.0%7.4%7.7%
Price cut before sale25%51%49%
Seller paid closing costs or repairs25%59%56%

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 31, 2025 – October 30, 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
46 resale sales. Average $454,721; median $462,500; standard deviation $85,825; middle half (25th–75th percentile) $423,875–$518,300; 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
46 resale sales. Average $227; median $228; standard deviation $35; middle half (25th–75th percentile) $205–$246; 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
46 resale sales. Average 2,055; median 1,998; standard deviation 510; middle half (25th–75th percentile) 1,783–2,393; 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
46 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
46 resale sales. Average 67; median 52; standard deviation 60; middle half (25th–75th percentile) 18–84; 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
46 resale sales. Average 7.9%; median 7.9%; standard deviation 6.2%; middle half (25th–75th percentile) 3.0%–10.3%; 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 46 resale sales (50.0%).

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
25 of 46 resale sales (54.3%).

8.1.9 Has a view

In simple terms
The MLS says the home looks over something: a greenbelt or park, trees, golf course, hill country, water and similar.
Statistically
View = the View field holds any entry other than “None”, “Neighborhood” or “See Remarks”. No view = only “None” and/or “Neighborhood”. A record whose only entry is “See Remarks” cannot be classified and is left out of the view slice.
The data
4 sales with a view, 39 without, 3 unclassified. Most common View entries: None 33, 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 31, 2026: 47 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 Farms (4); Scofield Ph 06 Sec 01 (3); Scofield Farms Ph 10 Sec 02 (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 08 Sec 04 (2); Scofield Farms Ph 08 Sec 07 (2); Scofield Ph 07 Sec 03-A (2); and 8 more (9 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 (5); 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 31, 2025 to October 30, 2026 inclusive.
The data
46 single-family sales in the window: 46 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
46 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 $425K”.
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 $425K: $265,000–$423,500 (12 sales); $425K–$460K: $425,000–$460,000 (11 sales); $465K–$515K: $465,000–$515,000 (11 sales); Over $515K: $519,400–$610,000 (12 sales)
Quartiles by living area: Under 1,783 SF: 1,112–1,758 SF (11 sales); 1,783–1,980 SF: 1,783–1,980 SF (12 sales); 2,015–2,387 SF: 2,015–2,387 SF (11 sales); Over 2,387 SF: 2,395–3,200 SF (12 sales)
Quartiles by year built: Before 1993: 1985–1992 (12 sales); 1993–1995: 1993–1995 (13 sales); 1996–1998: 1996–1998 (10 sales); After 1998: 1999–2001 (11 sales)
View and no view: View: MLS lists a view (4 sales); No view: None or Neighborhood (39 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 $454,721, median $462,500. Days on market: average 67, 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
7 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 = 3.5530.3144p < 0.0063Unclearε² = 0.079medium
Living areaKruskal–WallisH = 25.443< 0.0001p < 0.0063Yesε² = 0.565large
Year builtKruskal–WallisH = 17.6730.0005p < 0.0063Yesε² = 0.393large
Days on marketKruskal–WallisH = 5.3530.1476p < 0.0063Unclearε² = 0.119medium
Discount from original listKruskal–WallisH = 17.7530.0005p < 0.0063Yesε² = 0.394large
Price cut before saleChi-squareχ² = 7.5530.0564p < 0.0063UnclearCramér’s V = 0.405medium
Seller paid closing costs or repairsChi-squareχ² = 1.1830.7587p < 0.0063UnclearCramér’s V = 0.160small
Has a viewChi-squareχ² = 0.0130.9998p < 0.0063UnclearCramér’s V = 0.013negligible

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 23.993< 0.0001p < 0.0063Yesε² = 0.533large
Net price per SFKruskal–WallisH = 21.403< 0.0001p < 0.0063Yesε² = 0.476large
Year builtKruskal–WallisH = 12.5830.0056p < 0.0063Yesε² = 0.280large
Days on marketKruskal–WallisH = 0.3530.9497p < 0.0063Unclearε² = 0.008negligible
Discount from original listKruskal–WallisH = 1.4530.6946p < 0.0063Unclearε² = 0.032small
Price cut before saleChi-squareχ² = 0.8530.8378p < 0.0063UnclearCramér’s V = 0.136small
Seller paid closing costs or repairsChi-squareχ² = 1.2430.7441p < 0.0063UnclearCramér’s V = 0.164small
Has a viewChi-squareχ² = 4.4030.2216p < 0.0063UnclearCramér’s V = 0.309medium

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 9.3730.0248p < 0.0063Unclearε² = 0.208large
Net price per SFKruskal–WallisH = 11.9130.0077p < 0.0063Unclearε² = 0.265large
Living areaKruskal–WallisH = 22.473< 0.0001p < 0.0063Yesε² = 0.499large
Days on marketKruskal–WallisH = 0.4730.9263p < 0.0063Unclearε² = 0.010small
Discount from original listKruskal–WallisH = 1.0030.8016p < 0.0063Unclearε² = 0.022small
Price cut before saleChi-squareχ² = 0.9030.8251p < 0.0063UnclearCramér’s V = 0.140small
Seller paid closing costs or repairsChi-squareχ² = 2.7830.4262p < 0.0063UnclearCramér’s V = 0.246small
Has a viewChi-squareχ² = 1.9330.5868p < 0.0063UnclearCramér’s V = 0.205small

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 46 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 31, 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.