ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

The Colony

Bastrop, TX 78602
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 · 6:53 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
48
single-family resale homes
Median net sale price
$494,250
average $524,749
Median net price per SF
$192
average $189
Median days on market
152 days
average 181 days
1. SummaryResale homes · 48 sales · October 26, 2025 – October 25, 2026

This study looks at the 48 resale homes sold in The Colony in the 365 days to October 25, 2026. A full year is used because only 27 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 sold48 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 $326K · 12 sales$326K–$494K · 12 sales$495K–$665K · 12 salesOver $665K · 12 sales
3. Quartiles by net sale priceResale homes · 48 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.

2026-10-26T06:53:28.501629 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 12 12 12 12 48 sales Sales per group Under $326K: 12 sales (25%) $326K–$494K: 12 sales (25%) $495K–$665K: 12 sales (25%) Over $665K: 12 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 $326K$326K–$494K$495K–$665KOver $665K
Higher-priced homes Over $665K
  • Are much larger.
  • Are more likely to have a view.
  • Sell for more per square foot.
  • Sell faster.
Lower-priced homes Under $326K
  • Are much smaller.
  • Are less likely to have a view.
  • Sell for less per square foot.
  • Take longer to sell.

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 $326K$326K–$494K$495K–$665KOver $665KReal difference?
Net price per SF$159 per SFLowest$175 per SF$202 per SF$220 per SFHighest✓ large
Living area1,952 SFSmallest2,325 SF2,955 SF3,649 SFLargest✓ large
Year built2022202020202011unclear
Days on market206 days210 daysSlowest144 days46 daysFastest✓ large
Discount from original list9.7%14.2%6.3%5.4%unclear
Price cut before sale75%92%75%33%unclear
Seller paid closing costs or repairs58%50%42%50%unclear
Has a view8%Fewest33%92%Most75%✓ large

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 Homes over $665K sell for about $60 per SF (38%) more than homes under $326K

2026-10-26T06:53:28.534230 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $326K 12 sales $326K– $494K 12 sales $495K– $665K 12 sales Over $665K 12 sales $0 $100 $200 $159 $175 $202 $220 Net price per SF, average

The average is $220 per SF for homes over $665K and $159 per SF for homes under $326K. It rises step by step from the lowest range to the highest. Defined in 8.1.2.

✓ Real difference · large

3.4 Homes over $665K are about 1,700 SF (87%) larger than homes under $326K

2026-10-26T06:53:28.559541 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $326K 12 sales $326K– $494K 12 sales $495K– $665K 12 sales Over $665K 12 sales 0 2,000 4,000 1,952 2,325 2,955 3,649 Living area (SF), average

The average is 3,649 SF for homes over $665K and 1,952 SF for homes under $326K. 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

2026-10-26T06:53:28.586789 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $326K 12 sales $326K– $494K 12 sales $495K– $665K 12 sales Over $665K 12 sales 2005 2010 2015 2020 2022 2020 2020 2011 Year built: median (dot) and middle half (bar)

The median is 2011 for homes over $665K and 2022 for homes under $326K. It falls step by step from the lowest range to the highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Homes over $665K sell 160 days faster than homes under $326K

2026-10-26T06:53:28.612945 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $326K 12 sales $326K– $494K 12 sales $495K– $665K 12 sales Over $665K 12 sales 0 100 200 206 210 144 46 Days on market, median

The median is 46 days for homes over $665K and 206 days for homes under $326K. It does not move in a straight line; homes $326K–$494K are highest. Defined in 8.1.5.

✓ Real difference · large

3.7 Discount from original list: no clear difference

2026-10-26T06:53:28.636607 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $326K 12 sales $326K– $494K 12 sales $495K– $665K 12 sales Over $665K 12 sales 0.0% 5.0% 10.0% 15.0% 9.7% 14.2% 6.3% 5.4% Discount from original list, average

The average is 5.4% for homes over $665K and 9.7% for homes under $326K. It does not move in a straight line; homes $326K–$494K 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

2026-10-26T06:53:28.670425 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% 75 58 8 92 50 33 75 42 92 33 50 75 Under $326K $326K–$494K $495K–$665K Over $665K

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

  • 33% of homes over $665K had a price cut before sale, against 75% of homes under $326K. Defined in 8.1.7.
  • 50% of homes over $665K had the seller pay closing costs or repairs, against 58% of homes under $326K. Defined in 8.1.8.
  • 75% of homes over $665K have a view, against 8% of homes under $326K. 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 · large

3.9 The numbers: price and size

Under $326K12 sales$326K–$494K12 sales$495K–$665K12 salesOver $665K12 salesAll48 salesReal difference?
Net sale price average$303,077$399,097$594,000$802,821$524,749by design
Net price per SF average$159$175$202$220$189✓ large
Living area average1,9522,3252,9553,6492,720✓ large
Year built median20222020202020112020unclear

3.10 The numbers: selling

Under $326K12 sales$326K–$494K12 sales$495K–$665K12 salesOver $665K12 salesAll48 salesReal difference?
Days on market median20621014446152✓ large
Discount from original list average9.7%14.2%6.3%5.4%8.9%unclear
Price cut before sale75%92%75%33%69%unclear
Seller paid closing costs or repairs58%50%42%50%50%unclear
Has a view8%33%92%75%52%✓ large

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 · 48 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.

2026-10-26T06:53:28.693689 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 12 12 12 12 48 sales Sales per group Under 2,134 SF: 12 sales (25%) 2,134–2,695 SF: 12 sales (25%) 2,738–3,072 SF: 12 sales (25%) Over 3,072 SF: 12 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 2,134 SF2,134–2,695 SF2,738–3,072 SFOver 3,072 SF
Larger homes Over 3,072 SF
  • Sell for much more.
  • Sell for more per square foot.
Smaller homes Under 2,134 SF
  • Sell for much less.
  • Sell for less per square foot.

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 2,134 SF2,134–2,695 SF2,738–3,072 SFOver 3,072 SFReal difference?
Net sale price$316KLowest$409K$598K$777KHighest✓ large
Net price per SF$177 per SF$172 per SFLowest$202 per SF$206 per SFHighest✓ large
Year built2021202120182012unclear
Days on market180 days229 days146 days30 daysunclear
Discount from original list10.2%9.7%11.6%4.1%unclear
Price cut before sale75%83%83%33%unclear
Seller paid closing costs or repairs50%50%42%58%unclear
Has a view17%50%58%83%unclear

4.3 Homes over 3,072 SF sell for about $461K (146%) more than homes under 2,134 SF

2026-10-26T06:53:28.717480 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,134 SF 12 sales 2,134– 2,695 SF 12 sales 2,738– 3,072 SF 12 sales Over 3,072 SF 12 sales $0K $250K $500K $750K $316K $409K $598K $777K Net sale price, average

The average is $777K for homes over 3,072 SF and $316K for homes under 2,134 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 3,072 SF sell for about $29 per SF (17%) more than homes under 2,134 SF

2026-10-26T06:53:28.743551 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,134 SF 12 sales 2,134– 2,695 SF 12 sales 2,738– 3,072 SF 12 sales Over 3,072 SF 12 sales $0 $100 $200 $177 $172 $202 $206 Net price per SF, average

The average is $206 per SF for homes over 3,072 SF and $177 per SF for homes under 2,134 SF. It does not move in a straight line; homes over 3,072 SF are highest. Defined in 8.1.2.

✓ Real difference · large

4.5 Year built: no clear difference

2026-10-26T06:53:28.769776 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,134 SF 12 sales 2,134– 2,695 SF 12 sales 2,738– 3,072 SF 12 sales Over 3,072 SF 12 sales 2008 2012 2016 2020 2021 2021 2018 2012 Year built: median (dot) and middle half (bar)

The median is 2012 for homes over 3,072 SF and 2021 for homes under 2,134 SF. It falls 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

2026-10-26T06:53:28.796197 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,134 SF 12 sales 2,134– 2,695 SF 12 sales 2,738– 3,072 SF 12 sales Over 3,072 SF 12 sales 0 100 200 180 229 146 30 Days on market, median

The median is 30 days for homes over 3,072 SF and 180 days for homes under 2,134 SF. It does not move in a straight line; homes 2,134–2,695 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-26T06:53:28.820934 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,134 SF 12 sales 2,134– 2,695 SF 12 sales 2,738– 3,072 SF 12 sales Over 3,072 SF 12 sales 0.0% 5.0% 10.0% 10.2% 9.7% 11.6% 4.1% Discount from original list, average

The average is 4.1% for homes over 3,072 SF and 10.2% for homes under 2,134 SF. It does not move in a straight line; homes 2,738–3,072 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

2026-10-26T06:53:28.850921 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% 75 50 17 83 50 50 83 42 58 33 58 83 Under 2,134 SF 2,134–2,695 SF 2,738–3,072 SF Over 3,072 SF

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

  • 33% of homes over 3,072 SF had a price cut before sale, against 75% of homes under 2,134 SF. Defined in 8.1.7.
  • 58% of homes over 3,072 SF had the seller pay closing costs or repairs, against 50% of homes under 2,134 SF. Defined in 8.1.8.
  • 83% of homes over 3,072 SF have a view, against 17% of homes under 2,134 SF. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance

4.9 The numbers: price and size

Under 2,134 SF12 sales2,134–2,695 SF12 sales2,738–3,072 SF12 salesOver 3,072 SF12 salesAll48 salesReal difference?
Net sale price average$316,000$408,591$597,650$776,754$524,749✓ large
Net price per SF average$177$172$202$206$189✓ large
Living area average1,7962,3842,9633,7382,720by design
Year built median20212021201820122020unclear

4.10 The numbers: selling

Under 2,134 SF12 sales2,134–2,695 SF12 sales2,738–3,072 SF12 salesOver 3,072 SF12 salesAll48 salesReal difference?
Days on market median18022914630152unclear
Discount from original list average10.2%9.7%11.6%4.1%8.9%unclear
Price cut before sale75%83%83%33%69%unclear
Seller paid closing costs or repairs50%50%42%58%50%unclear
Has a view17%50%58%83%52%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 · 48 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.

2026-10-26T06:53:28.874480 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 12 12 9 15 48 sales Sales per group Before 2014: 12 sales (25%) 2014–2020: 12 sales (25%) 2021: 9 sales (19%) After 2021: 15 sales (31%)
Bottom line

5.1 Key differences

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

Before 20142014–20202021After 2021
Newer homes After 2021
  • Are less likely to have a view.
  • Sell for much less.
  • Are much smaller.
Older homes Before 2014
  • Are more likely to have a view.
  • Sell for much more.
  • Are much larger.

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 20142014–20202021After 2021Real difference?
Net sale price$764KHighest$479K$372KLowest$462K✓ large
Net price per SF$214 per SF$184 per SF$181 per SF$177 per SFunclear
Living area3,545 SFLargest2,566 SF2,063 SFSmallest2,579 SF✓ large
Days on market71 days167 days204 days152 daysunclear
Discount from original list7.2%10.8%8.9%8.7%unclear
Price cut before sale50%67%100%67%unclear
Seller paid closing costs or repairs42%50%44%60%unclear
Has a view100%Most50%33%27%Fewest✓ large

5.3 Homes built after 2021 sell for about $302K (40%) less than homes built before 2014

2026-10-26T06:53:28.897922 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2014 12 sales 2014– 2020 12 sales 2021 9 sales After 2021 15 sales $0K $250K $500K $750K $764K $479K $372K $462K Net sale price, average

The average is $462K for homes built after 2021 and $764K for homes built before 2014. It does not move in a straight line; homes built before 2014 are highest. Defined in 8.1.1.

✓ Real difference · large

5.4 Net price per SF: no clear difference

2026-10-26T06:53:28.925194 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2014 12 sales 2014– 2020 12 sales 2021 9 sales After 2021 15 sales $0 $100 $200 $214 $184 $181 $177 Net price per SF, average

The average is $177 per SF for homes built after 2021 and $214 per SF for homes built before 2014. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Homes built after 2021 are about 970 SF (27%) smaller than homes built before 2014

2026-10-26T06:53:28.949144 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2014 12 sales 2014– 2020 12 sales 2021 9 sales After 2021 15 sales 0 2,000 4,000 3,545 2,566 2,063 2,579 Living area (SF), average

The average is 2,579 SF for homes built after 2021 and 3,545 SF for homes built before 2014. It does not move in a straight line; homes built before 2014 are highest. Defined in 8.1.3.

✓ Real difference · large

5.6 Days on market: no clear difference

2026-10-26T06:53:28.972879 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2014 12 sales 2014– 2020 12 sales 2021 9 sales After 2021 15 sales 0 100 200 71 167 204 152 Days on market, median

The median is 152 days for homes built after 2021 and 71 days for homes built before 2014. It does not move in a straight line; homes built 2021 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-10-26T06:53:28.999077 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2014 12 sales 2014– 2020 12 sales 2021 9 sales After 2021 15 sales 0.0% 5.0% 10.0% 7.2% 10.8% 8.9% 8.7% Discount from original list, average

The average is 8.7% for homes built after 2021 and 7.2% for homes built before 2014. It does not move in a straight line; homes built 2014–2020 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

2026-10-26T06:53:29.027843 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 42 100 67 50 50 100 44 33 67 60 27 Before 2014 2014–2020 2021 After 2021

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

  • 67% of homes built after 2021 had a price cut before sale, against 50% of homes built before 2014. Defined in 8.1.7.
  • 60% of homes built after 2021 had the seller pay closing costs or repairs, against 42% of homes built before 2014. Defined in 8.1.8.
  • 27% of homes built after 2021 have a view, against 100% of homes built before 2014. 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 · large

5.9 The numbers: price and size

Before 201412 sales2014–202012 sales20219 salesAfter 202115 salesAll48 salesReal difference?
Net sale price average$763,749$479,108$372,342$461,505$524,749✓ large
Net price per SF average$214$184$181$177$189unclear
Living area average3,5452,5662,0632,5792,720✓ large
Year built median20062020202120232020by design

5.10 The numbers: selling

Before 201412 sales2014–202012 sales20219 salesAfter 202115 salesAll48 salesReal difference?
Days on market median71167204152152unclear
Discount from original list average7.2%10.8%8.9%8.7%8.9%unclear
Price cut before sale50%67%100%67%69%unclear
Seller paid closing costs or repairs42%50%44%60%50%unclear
Has a view100%50%33%27%52%✓ large

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 · 48 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. 1 sales whose MLS view entry is only “See Remarks” are left out.

2026-10-26T06:53:29.049991 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 25 22 47 sales Sales per group View: 25 sales (53%) No view: 22 sales (47%)
Bottom line

6.1 Key differences

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

ViewNo view
Homes with a view MLS lists a view
  • Sell for much more.
  • Sell for more per square foot.
  • Tend to be older.
  • Are much larger.
Homes without a view no view listed
  • Sell for much less.
  • Sell for less per square foot.
  • Tend to be newer.
  • Are much smaller.

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$644KHighest$400KLowest✓ large
Net price per SF$207 per SFHighest$170 per SFLowest✓ large
Living area3,073 SFLargest2,354 SFSmallest✓ large
Year built2016Oldest2022Newest✓ large
Days on market136 days194 daysunclear
Discount from original list8.5%9.1%unclear
Price cut before sale64%73%unclear
Seller paid closing costs or repairs40%64%unclear

6.3 Homes with a view sell for about $244K (61%) more than homes without a view

2026-10-26T06:53:29.067780 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 25 sales No view 22 sales $0K $200K $400K $600K $644K $400K Net sale price, average

The average is $644K for homes with a view and $400K for homes without a view. Defined in 8.1.1.

✓ Real difference · large

6.4 Homes with a view sell for about $37 per SF (22%) more than homes without a view

2026-10-26T06:53:29.088693 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 25 sales No view 22 sales $0 $50 $100 $150 $200 $207 $170 Net price per SF, average

The average is $207 per SF for homes with a view and $170 per SF for homes without a view. Defined in 8.1.2.

✓ Real difference · large

6.5 Homes with a view are about 720 SF (31%) larger than homes without a view

2026-10-26T06:53:29.111003 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 25 sales No view 22 sales 0 1,000 2,000 3,000 3,073 2,354 Living area (SF), average

The average is 3,073 SF for homes with a view and 2,354 SF for homes without a view. Defined in 8.1.3.

✓ Real difference · large

6.6 Homes with a view are about 6 years older than homes without a view

2026-10-26T06:53:29.220160 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 25 sales No view 22 sales 2008 2012 2016 2020 2016 2022 Year built: median (dot) and middle half (bar)

The median is 2016 for homes with a view and 2022 for homes without a view. Defined in 8.1.4.

✓ Real difference · large

6.7 Days on market: no clear difference

2026-10-26T06:53:29.241251 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 25 sales No view 22 sales 0 50 100 150 200 136 194 Days on market, median

The median is 136 days for homes with a view and 194 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

2026-10-26T06:53:29.264580 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 25 sales No view 22 sales 0.0% 2.5% 5.0% 7.5% 10.0% 8.5% 9.1% Discount from original list, average

The average is 8.5% for homes with a view and 9.1% 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

2026-10-26T06:53:29.286162 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 64 40 73 64 View No view

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

  • 64% of homes with a view had a price cut before sale, against 73% of homes without a view. Defined in 8.1.7.
  • 40% of homes with a view had the seller pay closing costs or repairs, against 64% 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

View25 salesNo view22 salesAll47 salesReal difference?
Net sale price average$643,794$400,186$529,765✓ large
Net price per SF average$207$170$190✓ large
Living area average3,0732,3542,737✓ large
Year built median201620222020✓ large

6.11 The numbers: selling

View25 salesNo view22 salesAll47 salesReal difference?
Days on market median136194152unclear
Discount from original list average8.5%9.1%8.8%unclear
Price cut before sale64%73%68%unclear
Seller paid closing costs or repairs40%64%51%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 · 132 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: 132 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 The Colony.
MeasureAverageMedian
Sales132
Net sale price$441,326$412,798
Net price per SF$175$174
Living area (SF)2,5262,484
Days on market148102
Discount from original list13.4%13.0%
Price cut before sale82% of sales
Seller paid closing costs or repairs64% 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
48 resale sales. Average $524,749; median $494,250; standard deviation $219,272; middle half (25th–75th percentile) $325,900–$666,250; lowest $259,400, highest $1,250,000. 24 sales had a seller payment; their median payment was $9,538.

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
48 resale sales. Average $189; median $192; standard deviation $32; middle half (25th–75th percentile) $169–$218; lowest $106, highest $235.

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
48 resale sales. Average 2,720; median 2,716; standard deviation 822; middle half (25th–75th percentile) 2,100–3,074; lowest 1,447, highest 5,313.

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
48 resale sales. Average 2018; median 2020; standard deviation 7; middle half (25th–75th percentile) 2014–2022; lowest 2002, highest 2026.

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
48 resale sales. Average 181; median 152; standard deviation 163; middle half (25th–75th percentile) 59–241; lowest 0, highest 700. 2 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
48 resale sales. Average 8.9%; median 7.9%; standard deviation 7.4%; middle half (25th–75th percentile) 3.6%–12.4%; lowest −3.4%, highest 30.6%. 1 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
33 of 48 resale sales (68.8%).

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
24 of 48 resale sales (50.0%).

8.1.9 Has a view

In simple terms
The MLS says the home looks over something: a greenbelt or park, trees, golf course, hill country, water and similar.
Statistically
View = the View field holds any entry other than “None”, “Neighborhood” or “See Remarks”. No view = only “None” and/or “Neighborhood”. A record whose only entry is “See Remarks” cannot be classified and is left out of the view slice.
The data
25 sales with a view, 22 without, 1 unclassified. Most common View entries: Trees/Woods 19, None 16, Neighborhood 16, Park/Greenbelt 12, Panoramic 2, Rural 1, Pond 1, Water 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 = Bastrop, SubdivisionName contains any of “the colony”, “colony”, “the colony coleton meadow”, “colony riverside”, “colony neches trails”, “the colony mud”, “the colony mud id”, “colony mud”, “colony mud id” (case-insensitive). A record is kept when its subdivision name belongs to the The Colony family, the same rule comparable sales use (it includes Colony Mud 1B Sec 4, The Colony - Coleton Meadow, Colony Riverside, Colony Neches Trails, proven adjacent and priced alike).
The data
Pulled October 26, 2026: 181 closed The Colony records over the prior year, in ZIP 78602. 28 subdivision spellings kept, the most common: The Colony (130); The Colony - Coleton Meadow (13); The Colony Mud (5); Colony (3); The Colony - 50' (3); Colony Riverside (2); Colony Mud 1F Sec 2 (2); Colony Mud 1B (2); The Colony Mud 1A, Sec 1, (2); Colony Mud 1B Sec 4 (1); The Colony Mud 1B Sec 6 (1); Colony Mud 1B Sec 5 (1); and 16 more (16 records). Names found by the search but not part of The Colony, left out: The Colony (Bandera Pass) (4); The Colony - Bandera Pass (2); Del Webb Lost Pines at The Colony (1); Del Webb Lost Pines at the Colony (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 27 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
180 single-family sales in the window: 48 resale, 132 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
48 resale; 132 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 concessions above 10% of 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 $326K”.
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 $326K: $259,400–$325,600 (12 sales); $326K–$494K: $326,000–$493,500 (12 sales); $495K–$665K: $495,000–$665,000 (12 sales); Over $665K: $670,000–$1,250,000 (12 sales)
Quartiles by living area: Under 2,134 SF: 1,447–1,998 SF (12 sales); 2,134–2,695 SF: 2,134–2,695 SF (12 sales); 2,738–3,072 SF: 2,738–3,072 SF (12 sales); Over 3,072 SF: 3,078–5,313 SF (12 sales)
Quartiles by year built: Before 2014: 2002–2013 (12 sales); 2014–2020: 2014–2020 (12 sales); 2021: 2021–2021 (9 sales); After 2021: 2022–2026 (15 sales)
View and no view: View: MLS lists a view (25 sales); No view: None or Neighborhood (22 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 $524,749, median $494,250. Days on market: average 181, median 152: 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
13 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 = 27.443< 0.0001p < 0.0063Yesε² = 0.584large
Living areaKruskal–WallisH = 34.243< 0.0001p < 0.0063Yesε² = 0.728large
Year builtKruskal–WallisH = 11.6130.0088p < 0.0063Unclearε² = 0.247large
Days on marketKruskal–WallisH = 15.1930.0017p < 0.0063Yesε² = 0.323large
Discount from original listKruskal–WallisH = 8.4030.0384p < 0.0063Unclearε² = 0.179large
Price cut before saleChi-squareχ² = 10.3830.0156p < 0.0063UnclearCramér’s V = 0.465medium
Seller paid closing costs or repairsChi-squareχ² = 0.6730.8810p < 0.0063UnclearCramér’s V = 0.118small
Has a viewChi-squareχ² = 20.9530.0001p < 0.0063YesCramér’s V = 0.661large

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 34.913< 0.0001p < 0.0063Yesε² = 0.743large
Net price per SFKruskal–WallisH = 12.5930.0056p < 0.0063Yesε² = 0.268large
Year builtKruskal–WallisH = 7.7430.0518p < 0.0063Unclearε² = 0.165large
Days on marketKruskal–WallisH = 9.0330.0289p < 0.0063Unclearε² = 0.192large
Discount from original listKruskal–WallisH = 9.2430.0263p < 0.0063Unclearε² = 0.197large
Price cut before saleChi-squareχ² = 9.6030.0223p < 0.0063UnclearCramér’s V = 0.447medium
Seller paid closing costs or repairsChi-squareχ² = 0.6730.8810p < 0.0063UnclearCramér’s V = 0.118small
Has a viewChi-squareχ² = 10.9430.0121p < 0.0063UnclearCramér’s V = 0.477medium

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 19.1730.0003p < 0.0063Yesε² = 0.408large
Net price per SFKruskal–WallisH = 11.7530.0083p < 0.0063Unclearε² = 0.250large
Living areaKruskal–WallisH = 16.6730.0008p < 0.0063Yesε² = 0.355large
Days on marketKruskal–WallisH = 5.0630.1674p < 0.0063Unclearε² = 0.108medium
Discount from original listKruskal–WallisH = 0.7330.8652p < 0.0063Unclearε² = 0.016small
Price cut before saleChi-squareχ² = 6.1130.1064p < 0.0063UnclearCramér’s V = 0.357medium
Seller paid closing costs or repairsChi-squareχ² = 1.0430.7905p < 0.0063UnclearCramér’s V = 0.148small
Has a viewChi-squareχ² = 16.2130.0010p < 0.0063YesCramér’s V = 0.581large

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 460.00—< 0.0001p < 0.0063Yesrank-biserial r = 0.673large
Net price per SFMann–Whitney UU = 459.00—< 0.0001p < 0.0063Yesrank-biserial r = 0.669large
Living areaMann–Whitney UU = 415.00—0.0029p < 0.0063Yesrank-biserial r = 0.509large
Year builtMann–Whitney UU = 116.00—0.0007p < 0.0063Yesrank-biserial r = 0.578large
Days on marketMann–Whitney UU = 208.50—0.1593p < 0.0063Unclearrank-biserial r = 0.242small
Discount from original listMann–Whitney UU = 260.50—0.7653p < 0.0063Unclearrank-biserial r = 0.053negligible
Price cut before saleChi-squareχ² = 0.4110.5219p < 0.0063UnclearCramér’s V = 0.093negligible
Seller paid closing costs or repairsChi-squareχ² = 2.6210.1058p < 0.0063UnclearCramér’s V = 0.236small

8.4 Data notes

Left out of the analysis: 132 new-construction sales (basic statistics only, section 7); 1 sale(s) with concessions above 10% of 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 48 closed MLS resale sales; the 132 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.