ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Wolf Ranch

Georgetown, TX 78628
Resale homes · closed Oct 24 – Oct 23, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
October 24, 2026 · 9:14 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
63
single-family resale homes
Median net sale price
$527,000
average $570,790
Median net price per SF
$208
average $212
Median days on market
78 days
average 101 days
1. SummaryResale homes · 63 sales · October 24, 2025 – October 23, 2026

This study looks at the 63 resale homes sold in Wolf Ranch in the 365 days to October 23, 2026. A full year is used because only 45 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 sold63 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 $475K · 16 sales$475K–$527K · 16 sales$529K–$648K · 15 salesOver $648K · 16 sales
3. Quartiles by net sale priceResale homes · 63 sales · October 24, 2025 – October 23, 2026

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

2026-10-24T21:14:33.410966 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 16 16 15 16 63 sales Sales per group Under $475K: 16 sales (25%) $475K–$527K: 16 sales (25%) $529K–$648K: 15 sales (24%) Over $648K: 16 sales (25%)
Bottom line

3.1 Key differences

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

Under $475K$475K–$527K$529K–$648KOver $648K
Higher-priced homes Over $648K
  • Are much larger.
Lower-priced homes Under $475K
  • Are much smaller.

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 $475K$475K–$527K$529K–$648KOver $648KReal difference?
Net price per SF$205 per SF$199 per SF$215 per SF$227 per SFunclear
Living area2,103 SFSmallest2,571 SF2,720 SF3,483 SFLargest✓ large
Year built2020202020212020unclear
Days on market98 days96 days48 days63 daysunclear
Discount from original list3.5%8.4%6.4%10.4%unclear
Price cut before sale81%81%53%50%unclear
Seller paid closing costs or repairs56%50%33%25%unclear
Has a view50%6%33%56%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

2026-10-24T21:14:33.439705 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $475K 16 sales $475K– $527K 16 sales $529K– $648K 15 sales Over $648K 16 sales $0 $100 $200 $205 $199 $215 $227 Net price per SF, average

The average is $227 per SF for homes over $648K and $205 per SF for homes under $475K. It does not move in a straight line; homes over $648K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Homes over $648K are about 1,380 SF (66%) larger than homes under $475K

2026-10-24T21:14:33.461786 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $475K 16 sales $475K– $527K 16 sales $529K– $648K 15 sales Over $648K 16 sales 0 2,000 4,000 2,103 2,571 2,720 3,483 Living area (SF), average

The average is 3,483 SF for homes over $648K and 2,103 SF for homes under $475K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

✓ Real difference · large

3.5 Year built: no clear difference

2026-10-24T21:14:33.486111 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $475K 16 sales $475K– $527K 16 sales $529K– $648K 15 sales Over $648K 16 sales 2019 2020 2021 2022 2023 2020 2020 2021 2020 Year built: median (dot) and middle half (bar)

The median is 2020 for homes over $648K and 2020 for homes under $475K. It does not move in a straight line; homes $529K–$648K are highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-10-24T21:14:33.509205 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $475K 16 sales $475K– $527K 16 sales $529K– $648K 15 sales Over $648K 16 sales 0 50 100 98 96 48 63 Days on market, median

The median is 63 days for homes over $648K and 98 days for homes under $475K. It does not move in a straight line; homes under $475K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-24T21:14:33.530537 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $475K 16 sales $475K– $527K 16 sales $529K– $648K 15 sales Over $648K 16 sales 0.0% 5.0% 10.0% 3.5% 8.4% 6.4% 10.4% Discount from original list, average

The average is 10.4% for homes over $648K and 3.5% for homes under $475K. It does not move in a straight line; homes over $648K are highest. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-10-24T21:14:33.559881 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% 81 56 50 81 50 6 53 33 33 50 25 56 Under $475K $475K–$527K $529K–$648K Over $648K

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

  • 50% of homes over $648K had a price cut before sale, against 81% of homes under $475K. Defined in 8.1.7.
  • 25% of homes over $648K had the seller pay closing costs or repairs, against 56% of homes under $475K. Defined in 8.1.8.
  • 56% of homes over $648K have a view, against 50% of homes under $475K. 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 $475K16 sales$475K–$527K16 sales$529K–$648K15 salesOver $648K16 salesAll63 salesReal difference?
Net sale price average$420,656$506,625$577,597$778,707$570,790by design
Net price per SF average$205$199$215$227$212unclear
Living area average2,1032,5712,7203,4832,719✓ large
Year built median20202020202120202021unclear

3.10 The numbers: selling

Under $475K16 sales$475K–$527K16 sales$529K–$648K15 salesOver $648K16 salesAll63 salesReal difference?
Days on market median9896486378unclear
Discount from original list average3.5%8.4%6.4%10.4%7.2%unclear
Price cut before sale81%81%53%50%67%unclear
Seller paid closing costs or repairs56%50%33%25%41%unclear
Has a view50%6%33%56%37%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 · 63 sales · October 24, 2025 – October 23, 2026

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

2026-10-24T21:14:33.581217 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 16 16 15 16 63 sales Sales per group Under 2,279 SF: 16 sales (25%) 2,279–2,576 SF: 16 sales (25%) 2,615–3,029 SF: 15 sales (24%) Over 3,029 SF: 16 sales (25%)
Bottom line

4.1 Key differences

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

Under 2,279 SF2,279–2,576 SF2,615–3,029 SFOver 3,029 SF
Larger homes Over 3,029 SF
  • Sell for much more.
  • Are more likely to have a view.
Smaller homes Under 2,279 SF
  • Sell for much less.
  • Are less likely to have a view.

4.2 At a glance

Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.

Under 2,279 SF2,279–2,576 SF2,615–3,029 SFOver 3,029 SFReal difference?
Net sale price$434KLowest$519K$590K$742KHighest✓ large
Net price per SF$217 per SF$213 per SF$210 per SF$205 per SFunclear
Year built2020202020212022unclear
Days on market80 days52 days78 days139 daysunclear
Discount from original list6.8%5.5%6.8%9.5%unclear
Price cut before sale69%56%60%81%unclear
Seller paid closing costs or repairs50%50%40%25%unclear
Has a view50%0%Fewest40%56%Most✓ medium

4.3 Homes over 3,029 SF sell for about $308K (71%) more than homes under 2,279 SF

2026-10-24T21:14:33.602559 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,279 SF 16 sales 2,279– 2,576 SF 16 sales 2,615– 3,029 SF 15 sales Over 3,029 SF 16 sales $0K $250K $500K $750K $434K $519K $590K $742K Net sale price, average

The average is $742K for homes over 3,029 SF and $434K for homes under 2,279 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

✓ Real difference · large

4.4 Net price per SF: no clear difference

2026-10-24T21:14:33.626894 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,279 SF 16 sales 2,279– 2,576 SF 16 sales 2,615– 3,029 SF 15 sales Over 3,029 SF 16 sales $0 $100 $200 $217 $213 $210 $205 Net price per SF, average

The average is $205 per SF for homes over 3,029 SF and $217 per SF for homes under 2,279 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-10-24T21:14:33.651754 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,279 SF 16 sales 2,279– 2,576 SF 16 sales 2,615– 3,029 SF 15 sales Over 3,029 SF 16 sales 2020 2021 2022 2023 2020 2020 2021 2022 Year built: median (dot) and middle half (bar)

The median is 2022 for homes over 3,029 SF and 2020 for homes under 2,279 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-10-24T21:14:33.675395 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,279 SF 16 sales 2,279– 2,576 SF 16 sales 2,615– 3,029 SF 15 sales Over 3,029 SF 16 sales 0 50 100 150 80 52 78 139 Days on market, median

The median is 139 days for homes over 3,029 SF and 80 days for homes under 2,279 SF. It does not move in a straight line; homes over 3,029 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-24T21:14:33.698263 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,279 SF 16 sales 2,279– 2,576 SF 16 sales 2,615– 3,029 SF 15 sales Over 3,029 SF 16 sales 0.0% 5.0% 10.0% 6.8% 5.5% 6.8% 9.5% Discount from original list, average

The average is 9.5% for homes over 3,029 SF and 6.8% for homes under 2,279 SF. It does not move in a straight line; homes over 3,029 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

2026-10-24T21:14:33.724926 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% 69 50 50 56 50 0 60 40 40 81 25 56 Under 2,279 SF 2,279–2,576 SF 2,615–3,029 SF Over 3,029 SF

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

  • 81% of homes over 3,029 SF had a price cut before sale, against 69% of homes under 2,279 SF. Defined in 8.1.7.
  • 25% of homes over 3,029 SF had the seller pay closing costs or repairs, against 50% of homes under 2,279 SF. Defined in 8.1.8.
  • 56% of homes over 3,029 SF have a view, against 50% of homes under 2,279 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: ✓ Real difference · medium

4.9 The numbers: price and size

Under 2,279 SF16 sales2,279–2,576 SF16 sales2,615–3,029 SF15 salesOver 3,029 SF16 salesAll63 salesReal difference?
Net sale price average$433,611$519,175$590,060$741,518$570,790✓ large
Net price per SF average$217$213$210$205$212unclear
Living area average2,0082,4372,8053,6332,719by design
Year built median20202020202120222021unclear

4.10 The numbers: selling

Under 2,279 SF16 sales2,279–2,576 SF16 sales2,615–3,029 SF15 salesOver 3,029 SF16 salesAll63 salesReal difference?
Days on market median80527813978unclear
Discount from original list average6.8%5.5%6.8%9.5%7.2%unclear
Price cut before sale69%56%60%81%67%unclear
Seller paid closing costs or repairs50%50%40%25%41%unclear
Has a view50%0%40%56%37%✓ medium

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 · 63 sales · October 24, 2025 – October 23, 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.

2026-10-24T21:14:33.746064 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 13 18 17 15 63 sales Sales per group Before 2020: 13 sales (21%) 2020: 18 sales (29%) 2021–2022: 17 sales (27%) After 2022: 15 sales (24%)
Bottom line: no measure differs enough between the groups to rule out chance.

5.1 Key differences

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

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 202020202021–2022After 2022Real difference?
Net sale price$575K$550K$532K$636Kunclear
Net price per SF$214 per SF$223 per SF$197 per SF$211 per SFunclear
Living area2,667 SF2,495 SF2,703 SF3,053 SFunclear
Days on market77 days68 days78 days102 daysunclear
Discount from original list8.8%5.2%3.9%11.9%unclear
Price cut before sale62%56%71%80%unclear
Seller paid closing costs or repairs38%33%65%27%unclear
Has a view31%33%41%40%unclear

5.3 Net sale price: no clear difference

2026-10-24T21:14:33.766884 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2020 13 sales 2020 18 sales 2021– 2022 17 sales After 2022 15 sales $0K $200K $400K $600K $575K $550K $532K $636K Net sale price, average

The average is $636K for homes built after 2022 and $575K for homes built before 2020. It does not move in a straight line; homes built after 2022 are highest. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-10-24T21:14:33.790910 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2020 13 sales 2020 18 sales 2021– 2022 17 sales After 2022 15 sales $0 $100 $200 $214 $223 $197 $211 Net price per SF, average

The average is $211 per SF for homes built after 2022 and $214 per SF for homes built before 2020. It does not move in a straight line; homes built 2020 are highest. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-10-24T21:14:33.812937 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2020 13 sales 2020 18 sales 2021– 2022 17 sales After 2022 15 sales 0 1,000 2,000 3,000 2,667 2,495 2,703 3,053 Living area (SF), average

The average is 3,053 SF for homes built after 2022 and 2,667 SF for homes built before 2020. It does not move in a straight line; homes built after 2022 are highest. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-10-24T21:14:33.835249 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2020 13 sales 2020 18 sales 2021– 2022 17 sales After 2022 15 sales 0 50 100 77 68 78 102 Days on market, median

The median is 102 days for homes built after 2022 and 77 days for homes built before 2020. It does not move in a straight line; homes built after 2022 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-10-24T21:14:33.859042 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2020 13 sales 2020 18 sales 2021– 2022 17 sales After 2022 15 sales 0.0% 5.0% 10.0% 8.8% 5.2% 3.9% 11.9% Discount from original list, average

The average is 11.9% for homes built after 2022 and 8.8% for homes built before 2020. It does not move in a straight line; homes built after 2022 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

2026-10-24T21:14:33.885772 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% 62 38 31 56 33 33 71 65 41 80 27 40 Before 2020 2020 2021–2022 After 2022

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

  • 80% of homes built after 2022 had a price cut before sale, against 62% of homes built before 2020. Defined in 8.1.7.
  • 27% of homes built after 2022 had the seller pay closing costs or repairs, against 38% of homes built before 2020. Defined in 8.1.8.
  • 40% of homes built after 2022 have a view, against 31% of homes built before 2020. 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 202013 sales202018 sales2021–202217 salesAfter 202215 salesAll63 salesReal difference?
Net sale price average$575,227$550,190$531,971$635,660$570,790unclear
Net price per SF average$214$223$197$211$212unclear
Living area average2,6672,4952,7033,0532,719unclear
Year built median20182020202220232021by design

5.10 The numbers: selling

Before 202013 sales202018 sales2021–202217 salesAfter 202215 salesAll63 salesReal difference?
Days on market median77687810278unclear
Discount from original list average8.8%5.2%3.9%11.9%7.2%unclear
Price cut before sale62%56%71%80%67%unclear
Seller paid closing costs or repairs38%33%65%27%41%unclear
Has a view31%33%41%40%37%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 · 63 sales · October 24, 2025 – October 23, 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. 5 sales whose MLS view entry is only “See Remarks” are left out.

2026-10-24T21:14:33.905293 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 23 35 58 sales Sales per group View: 23 sales (40%) No view: 35 sales (60%)
Bottom line: no measure differs enough between the groups to rule out chance.

6.1 Key differences

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

6.2 At a glance

Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.

ViewNo viewReal difference?
Net sale price$600K$556Kunclear
Net price per SF$220 per SF$206 per SFunclear
Living area2,732 SF2,733 SFunclear
Year built20212021unclear
Days on market74 days85 daysunclear
Discount from original list8.4%6.3%unclear
Price cut before sale65%71%unclear
Seller paid closing costs or repairs26%51%unclear

6.3 Net sale price: no clear difference

2026-10-24T21:14:33.921597 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 23 sales No view 35 sales $0K $200K $400K $600K $600K $556K Net sale price, average

The average is $600K for homes with a view and $556K for homes without a view. Defined in 8.1.1.

– No clear difference · could be chance

6.4 Net price per SF: no clear difference

2026-10-24T21:14:33.940055 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 23 sales No view 35 sales $0 $100 $200 $220 $206 Net price per SF, average

The average is $220 per SF for homes with a view and $206 per SF for homes without a view. Defined in 8.1.2.

– No clear difference · could be chance

6.5 Living area: no clear difference

2026-10-24T21:14:33.958699 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 23 sales No view 35 sales 0 1,000 2,000 3,000 2,732 2,733 Living area (SF), average

The average is 2,732 SF for homes with a view and 2,733 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-24T21:14:34.003458 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 23 sales No view 35 sales 2020 2021 2022 2021 2021 Year built: median (dot) and middle half (bar)

The median is 2021 for homes with a view and 2021 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-24T21:14:34.022277 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 23 sales No view 35 sales 0 25 50 75 100 74 85 Days on market, median

The median is 74 days for homes with a view and 85 days for homes without a view. Defined in 8.1.5.

– No clear difference · could be chance

6.8 Discount from original list: no clear difference

2026-10-24T21:14:34.042558 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 23 sales No view 35 sales 0.0% 2.5% 5.0% 7.5% 10.0% 8.4% 6.3% Discount from original list, average

The average is 8.4% for homes with a view and 6.3% for homes without a view. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-10-24T21:14:34.061899 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 65 26 71 51 View No view

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

  • 65% of homes with a view had a price cut before sale, against 71% of homes without a view. Defined in 8.1.7.
  • 26% of homes with a view had the seller pay closing costs or repairs, against 51% of homes without a view. Defined in 8.1.8.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance

6.10 The numbers: price and size

View23 salesNo view35 salesAll58 salesReal difference?
Net sale price average$600,090$556,025$573,499unclear
Net price per SF average$220$206$211unclear
Living area average2,7322,7332,733unclear
Year built median202120212021unclear

6.11 The numbers: selling

View23 salesNo view35 salesAll58 salesReal difference?
Days on market median748578unclear
Discount from original list average8.4%6.3%7.1%unclear
Price cut before sale65%71%69%unclear
Seller paid closing costs or repairs26%51%41%unclear

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.4.

7. New constructionBasic statistics · 156 sales · October 24, 2025 – October 23, 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: 156 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 Wolf Ranch.
MeasureAverageMedian
Sales156
Net sale price$638,441$609,000
Net price per SF$220$214
Living area (SF)2,9212,912
Days on market160136
Discount from original list12.5%12.5%
Price cut before sale76% of sales
Seller paid closing costs or repairs54% of sales
Year built2022–2026

Same definitions as the rest of the study (section 8). New construction = NewConstructionYN true, or PropertyCondition “New Construction” or “Under Construction”.

8. AppendixMeasures, methods and tests

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

8.1 Measures

8.1.1 Net sale price

In simple terms
What the seller actually kept: the closing price, less money the seller gave back to the buyer for closing costs or repairs. It is the truest price for comparing homes.
Statistically
Net = ClosePrice − ACTRIS_BuyersClsgCostPdbySell − ACTRIS_RepairsAmount (a blank counts as $0). Summarized by the arithmetic mean in the slices.
The data
63 resale sales. Average $570,790; median $527,000; standard deviation $144,635; middle half (25th–75th percentile) $473,262–$648,400; lowest $348,000, highest $992,511. 26 sales had a seller payment; their median payment was $4,726.

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
63 resale sales. Average $212; median $208; standard deviation $27; middle half (25th–75th percentile) $191–$232; lowest $143, highest $267.

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
63 resale sales. Average 2,719; median 2,576; standard deviation 683; middle half (25th–75th percentile) 2,265–3,030; lowest 1,585, highest 5,025.

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
63 resale sales. Average 2021; median 2021; standard deviation 2; middle half (25th–75th percentile) 2020–2022; lowest 2017, highest 2025.

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
63 resale sales. Average 101; median 78; standard deviation 90; middle half (25th–75th percentile) 41–131; lowest 5, highest 461. 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
63 resale sales. Average 7.2%; median 6.2%; standard deviation 12.1%; middle half (25th–75th percentile) 2.6%–11.8%; lowest −67.9%, highest 28.9%. 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
42 of 63 resale sales (66.7%).

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
26 of 63 resale sales (41.3%).

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
23 sales with a view, 35 without, 5 unclassified. Most common View entries: None 22, Neighborhood 22, Trees/Woods 14, Park/Greenbelt 13, See Remarks 7, Hill Country 4, Pond 2, Golf Course 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 = Georgetown, SubdivisionName contains any of “wolf ranch”, “wolf ranch west”, “wolf ranch west bend”, “wolf ranch west sub” (case-insensitive). A record is kept when its subdivision name belongs to the Wolf Ranch family, the same rule comparable sales use (it includes Wolf Ranch West Ph 1 Sec 3, Wolf Ranch West Bend, proven adjacent and priced alike).
The data
Pulled October 24, 2026: 219 closed Wolf Ranch records over the prior year, in ZIP 78628. 24 subdivision spellings kept, the most common: Wolf Ranch (135); Wolf Ranch West Bend (15); Wolf Ranch - West Bend (11); Wolf Ranch: 51ft. lots (6); Wolf Ranch West Sec 4A (5); Wolf Ranch West Ph 1 Sec 3 (5); Wolf Ranch West (5); WOLF RANCH (4); Wolf Ranch - 70' (4); Wolf Ranch West Ph 2 Sec 2 (3); Wolf Ranch West Ph 2 Sec 3 (3); Wolf Ranch West Sec 2G (3); and 12 more (20 records). Names found by the search but not part of Wolf Ranch, left out: Wolf Ranch South Fork (12).

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 45 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 24, 2025 to October 23, 2026 inclusive.
The data
219 single-family sales in the window: 63 resale, 156 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
63 resale; 156 new construction.

8.2.4 Sales left out

In simple terms
A few records cannot be used as entered and are left out before any analysis.
Statistically
Excluded: PropertySubType other than Single Family Residence; no OriginalListPrice; LivingArea under 400 SF; seller payments above 10% of ClosePrice (treated as entry errors).
The data
None in this window.

8.2.5 Quartiles and groups

In simple terms
Sales lined up from lowest to highest and cut into four groups of about equal size. Each group is named by its range, for example “Under $475K”.
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 $475K: $348,000–$471,525 (16 sales); $475K–$527K: $475,000–$527,000 (16 sales); $529K–$648K: $529,000–$647,500 (15 sales); Over $648K: $649,300–$992,511 (16 sales)
Quartiles by living area: Under 2,279 SF: 1,585–2,251 SF (16 sales); 2,279–2,576 SF: 2,279–2,576 SF (16 sales); 2,615–3,029 SF: 2,615–3,029 SF (15 sales); Over 3,029 SF: 3,031–5,025 SF (16 sales)
Quartiles by year built: Before 2020: 2017–2019 (13 sales); 2020: 2020–2020 (18 sales); 2021–2022: 2021–2022 (17 sales); After 2022: 2023–2025 (15 sales)
View and no view: View: MLS lists a view (23 sales); No view: None or Neighborhood (35 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 $570,790, median $527,000. Days on market: average 101, median 78: 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; View and no view: m = 8, threshold p < 0.0063

8.2.11 Size of a difference

In simple terms
A difference can be real but small. The size word (small, medium, large) says how much the groups pull apart.
Statistically
ε² for Kruskal–Wallis, rank-biserial r for Mann–Whitney, Cramér's V for chi-square, with the thresholds above; below the small threshold the size is “negligible”.
The data
3 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 = 11.0430.0115p < 0.0063Unclearε² = 0.178large
Living areaKruskal–WallisH = 38.243< 0.0001p < 0.0063Yesε² = 0.617large
Year builtKruskal–WallisH = 0.6930.8746p < 0.0063Unclearε² = 0.011small
Days on marketKruskal–WallisH = 7.2130.0656p < 0.0063Unclearε² = 0.116medium
Discount from original listKruskal–WallisH = 2.0830.5557p < 0.0063Unclearε² = 0.034small
Price cut before saleChi-squareχ² = 6.2630.0995p < 0.0063UnclearCramér’s V = 0.315medium
Seller paid closing costs or repairsChi-squareχ² = 4.1230.2486p < 0.0063UnclearCramér’s V = 0.256small
Has a viewChi-squareχ² = 10.3330.0159p < 0.0063UnclearCramér’s V = 0.405medium

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 40.373< 0.0001p < 0.0063Yesε² = 0.651large
Net price per SFKruskal–WallisH = 0.8830.8313p < 0.0063Unclearε² = 0.014small
Year builtKruskal–WallisH = 3.3630.3390p < 0.0063Unclearε² = 0.054small
Days on marketKruskal–WallisH = 8.5430.0361p < 0.0063Unclearε² = 0.138medium
Discount from original listKruskal–WallisH = 6.6630.0834p < 0.0063Unclearε² = 0.107medium
Price cut before saleChi-squareχ² = 2.6430.4499p < 0.0063UnclearCramér’s V = 0.205small
Seller paid closing costs or repairsChi-squareχ² = 2.7630.4295p < 0.0063UnclearCramér’s V = 0.209small
Has a viewChi-squareχ² = 13.2330.0042p < 0.0063YesCramér’s V = 0.458medium

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 6.9330.0741p < 0.0063Unclearε² = 0.112medium
Net price per SFKruskal–WallisH = 7.3630.0614p < 0.0063Unclearε² = 0.119medium
Living areaKruskal–WallisH = 6.5030.0897p < 0.0063Unclearε² = 0.105medium
Days on marketKruskal–WallisH = 3.6530.3015p < 0.0063Unclearε² = 0.059small
Discount from original listKruskal–WallisH = 5.1230.1629p < 0.0063Unclearε² = 0.083medium
Price cut before saleChi-squareχ² = 2.4730.4805p < 0.0063UnclearCramér’s V = 0.198small
Seller paid closing costs or repairsChi-squareχ² = 5.6830.1281p < 0.0063UnclearCramér’s V = 0.300medium
Has a viewChi-squareχ² = 0.5030.9185p < 0.0063UnclearCramér’s V = 0.089negligible

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 461.00—0.3565p < 0.0063Unclearrank-biserial r = 0.145small
Net price per SFMann–Whitney UU = 522.00—0.0586p < 0.0063Unclearrank-biserial r = 0.297small
Living areaMann–Whitney UU = 435.00—0.6110p < 0.0063Unclearrank-biserial r = 0.081negligible
Year builtMann–Whitney UU = 417.00—0.8211p < 0.0063Unclearrank-biserial r = 0.036negligible
Days on marketMann–Whitney UU = 352.50—0.4313p < 0.0063Unclearrank-biserial r = 0.124small
Discount from original listMann–Whitney UU = 414.00—0.8612p < 0.0063Unclearrank-biserial r = 0.029negligible
Price cut before saleChi-squareχ² = 0.2510.6170p < 0.0063UnclearCramér’s V = 0.066negligible
Seller paid closing costs or repairsChi-squareχ² = 3.6710.0552p < 0.0063UnclearCramér’s V = 0.252small

8.4 Data notes

Left out of the analysis: 156 new-construction sales (basic statistics only, section 7); nothing else. Statistics: Python, NumPy 2.5.3, SciPy 1.18.1.

8.5 References

  1. Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Erlbaum.
  2. Cramér, H. (1946). Mathematical Methods of Statistics. Princeton University Press.
  3. Dunn, O. J. (1961). Multiple comparisons among means. JASA, 56(293), 52–64.
  4. Kerby, D. S. (2014). The simple difference formula: an approach to teaching nonparametric correlation. Comprehensive Psychology, 3, 11.IT.3.1.
  5. Kruskal, W. H., & Wallis, W. A. (1952). Use of ranks in one-criterion variance analysis. JASA, 47(260), 583–621.
  6. Mann, H. B., & Whitney, D. R. (1947). On a test of whether one of two random variables is stochastically larger than the other. Annals of Mathematical Statistics, 18(1), 50–60.
  7. Pearson, K. (1900). On the criterion that a given system of deviations… Philosophical Magazine, 50(302), 157–175.
  8. Tomczak, M., & Tomczak, E. (2014). The need to report effect size estimates revisited. Trends in Sport Sciences, 21(1), 19–25.

This is a market study of closed sales, not an appraisal or an opinion of value for any home. The analysis covers 63 closed MLS resale sales; the 156 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled October 24, 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.