ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

The Colony

Bastrop, TX 78602
Resale homes · closed Nov 7 – Nov 6, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
November 7, 2026 · 6:53 AM CST
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
$495,400
average $527,172
Median net price per SF
$192
average $189
Median days on market
152 days
average 174 days
1. SummaryResale homes · 48 sales · November 7, 2025 – November 6, 2026

This study looks at the 48 resale homes sold in The Colony in the 365 days to November 6, 2026. A full year is used because only 30 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 $338K · 12 sales$338K–$495K · 12 sales$496K–$660K · 12 salesOver $660K · 12 sales
3. Quartiles by net sale priceResale homes · 48 sales · November 7, 2025 – November 6, 2026

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

2026-11-07T06:53:35.493918 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 12 12 12 12 48 sales Sales per group Under $338K: 12 sales (25%) $338K–$495K: 12 sales (25%) $496K–$660K: 12 sales (25%) Over $660K: 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 $338K$338K–$495K$496K–$660KOver $660K
Higher-priced homes Over $660K
  • Are much larger.
  • Are more likely to have a view.
  • Sell for more per square foot.
Lower-priced homes Under $338K
  • Are much smaller.
  • Are less likely to have a view.
  • Sell for less per square foot.

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 $338K$338K–$495K$496K–$660KOver $660KReal difference?
Net price per SF$157 per SFLowest$182 per SF$197 per SF$220 per SFHighest✓ large
Living area2,019 SFSmallest2,336 SF2,985 SF3,618 SFLargest✓ large
Year built2021202120202011unclear
Days on market180 days210 days144 days46 daysunclear
Discount from original list12.3%11.1%7.1%6.2%unclear
Price cut before sale83%92%67%33%unclear
Seller paid closing costs or repairs50%42%50%42%unclear
Has a view17%Fewest33%92%Most83%✓ 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 $660K sell for about $63 per SF (40%) more than homes under $338K

2026-11-07T06:53:35.521997 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $338K 12 sales $338K– $495K 12 sales $496K– $660K 12 sales Over $660K 12 sales $0 $100 $200 $157 $182 $197 $220 Net price per SF, average

The average is $220 per SF for homes over $660K and $157 per SF for homes under $338K. It rises step by step from the lowest range to the highest. Defined in 8.1.2.

✓ Real difference · large

3.4 Homes over $660K are about 1,600 SF (79%) larger than homes under $338K

2026-11-07T06:53:35.544465 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $338K 12 sales $338K– $495K 12 sales $496K– $660K 12 sales Over $660K 12 sales 0 2,000 4,000 2,019 2,336 2,985 3,618 Living area (SF), average

The average is 3,618 SF for homes over $660K and 2,019 SF for homes under $338K. 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

2026-11-07T06:53:35.568614 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $338K 12 sales $338K– $495K 12 sales $496K– $660K 12 sales Over $660K 12 sales 2004 2008 2012 2016 2020 2021 2021 2020 2011 Year built: median (dot) and middle half (bar)

The median is 2011 for homes over $660K and 2021 for homes under $338K. 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 Days on market: no clear difference

2026-11-07T06:53:35.592664 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $338K 12 sales $338K– $495K 12 sales $496K– $660K 12 sales Over $660K 12 sales 0 100 200 180 210 144 46 Days on market, median

The median is 46 days for homes over $660K and 180 days for homes under $338K. It does not move in a straight line; homes $338K–$495K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-11-07T06:53:35.614025 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $338K 12 sales $338K– $495K 12 sales $496K– $660K 12 sales Over $660K 12 sales 0.0% 5.0% 10.0% 12.3% 11.1% 7.1% 6.2% Discount from original list, average

The average is 6.2% for homes over $660K and 12.3% for homes under $338K. It falls step by step from the lowest range to the 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

2026-11-07T06:53:35.643492 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% 83 50 17 92 42 33 67 50 92 33 42 83 Under $338K $338K–$495K $496K–$660K Over $660K

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

  • 33% of homes over $660K had a price cut before sale, against 83% of homes under $338K. Defined in 8.1.7.
  • 42% of homes over $660K had the seller pay closing costs or repairs, against 50% of homes under $338K. Defined in 8.1.8.
  • 83% of homes over $660K have a view, against 17% of homes under $338K. 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 $338K12 sales$338K–$495K12 sales$496K–$660K12 salesOver $660K12 salesAll48 salesReal difference?
Net sale price average$303,952$422,764$584,483$797,488$527,172by design
Net price per SF average$157$182$197$220$189✓ large
Living area average2,0192,3362,9853,6182,739✓ large
Year built median20212021202020112020unclear

3.10 The numbers: selling

Under $338K12 sales$338K–$495K12 sales$496K–$660K12 salesOver $660K12 salesAll48 salesReal difference?
Days on market median18021014446152unclear
Discount from original list average12.3%11.1%7.1%6.2%9.2%unclear
Price cut before sale83%92%67%33%69%unclear
Seller paid closing costs or repairs50%42%50%42%46%unclear
Has a view17%33%92%83%56%✓ 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 · November 7, 2025 – November 6, 2026

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

2026-11-07T06:53:35.663535 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 12 12 12 12 48 sales Sales per group Under 2,142 SF: 12 sales (25%) 2,142–2,695 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 2,142 SF2,142–2,695 SF2,738–3,072 SFOver 3,072 SF
Larger homes Over 3,072 SF
  • Sell for much more.
  • Are more likely to have a view.
Smaller homes Under 2,142 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 2,142 SF2,142–2,695 SF2,738–3,072 SFOver 3,072 SFReal difference?
Net sale price$321KLowest$428K$598K$762KHighest✓ large
Net price per SF$177 per SF$176 per SF$202 per SF$202 per SFunclear
Year built2021202020182010unclear
Days on market180 days210 days146 days30 daysunclear
Discount from original list9.8%9.3%11.6%5.9%unclear
Price cut before sale83%75%83%33%unclear
Seller paid closing costs or repairs42%50%42%50%unclear
Has a view17%Fewest58%58%92%Most✓ large

4.3 Homes over 3,072 SF sell for about $441K (137%) more than homes under 2,142 SF

2026-11-07T06:53:35.684134 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,142 SF 12 sales 2,142– 2,695 SF 12 sales 2,738– 3,072 SF 12 sales Over 3,072 SF 12 sales $0K $250K $500K $750K $321K $428K $598K $762K Net sale price, average

The average is $762K for homes over 3,072 SF and $321K for homes under 2,142 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

2026-11-07T06:53:35.706166 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,142 SF 12 sales 2,142– 2,695 SF 12 sales 2,738– 3,072 SF 12 sales Over 3,072 SF 12 sales $0 $100 $200 $177 $176 $202 $202 Net price per SF, average

The average is $202 per SF for homes over 3,072 SF and $177 per SF for homes under 2,142 SF. It does not move in a straight line; homes over 3,072 SF are highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-11-07T06:53:35.729112 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,142 SF 12 sales 2,142– 2,695 SF 12 sales 2,738– 3,072 SF 12 sales Over 3,072 SF 12 sales 2005 2010 2015 2020 2021 2020 2018 2010 Year built: median (dot) and middle half (bar)

The median is 2010 for homes over 3,072 SF and 2021 for homes under 2,142 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

2026-11-07T06:53:35.751982 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,142 SF 12 sales 2,142– 2,695 SF 12 sales 2,738– 3,072 SF 12 sales Over 3,072 SF 12 sales 0 100 200 180 210 146 30 Days on market, median

The median is 30 days for homes over 3,072 SF and 180 days for homes under 2,142 SF. It does not move in a straight line; homes 2,142–2,695 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-11-07T06:53:35.773441 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,142 SF 12 sales 2,142– 2,695 SF 12 sales 2,738– 3,072 SF 12 sales Over 3,072 SF 12 sales 0.0% 5.0% 10.0% 9.8% 9.3% 11.6% 5.9% Discount from original list, average

The average is 5.9% for homes over 3,072 SF and 9.8% for homes under 2,142 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

2026-11-07T06:53:35.799437 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% 83 42 17 75 50 58 83 42 58 33 50 92 Under 2,142 SF 2,142–2,695 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 83% of homes under 2,142 SF. Defined in 8.1.7.
  • 50% of homes over 3,072 SF had the seller pay closing costs or repairs, against 42% of homes under 2,142 SF. Defined in 8.1.8.
  • 92% of homes over 3,072 SF have a view, against 17% of homes under 2,142 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 · large

4.9 The numbers: price and size

Under 2,142 SF12 sales2,142–2,695 SF12 sales2,738–3,072 SF12 salesOver 3,072 SF12 salesAll48 salesReal difference?
Net sale price average$321,292$427,908$597,650$761,838$527,172✓ large
Net price per SF average$177$176$202$202$189unclear
Living area average1,8202,4422,9633,7332,739by design
Year built median20212020201820102020unclear

4.10 The numbers: selling

Under 2,142 SF12 sales2,142–2,695 SF12 sales2,738–3,072 SF12 salesOver 3,072 SF12 salesAll48 salesReal difference?
Days on market median18021014630152unclear
Discount from original list average9.8%9.3%11.6%5.9%9.2%unclear
Price cut before sale83%75%83%33%69%unclear
Seller paid closing costs or repairs42%50%42%50%46%unclear
Has a view17%58%58%92%56%✓ 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 8.3.2.

5. Quartiles by year builtResale homes · 48 sales · November 7, 2025 – November 6, 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.

2026-11-07T06:53:35.819946 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 12 13 9 14 48 sales Sales per group Before 2012: 12 sales (25%) 2012–2020: 13 sales (27%) 2021: 9 sales (19%) After 2021: 14 sales (29%)
Bottom line

5.1 Key differences

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

Before 20122012–20202021After 2021
Newer homes After 2021
  • Are less likely to have a view.
  • Sell for much less.
  • Are much smaller.
Older homes Before 2012
  • 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 20122012–20202021After 2021Real difference?
Net sale price$745KHighest$493K$372KLowest$471K✓ large
Net price per SF$209 per SF$188 per SF$181 per SF$177 per SFunclear
Living area3,529 SFLargest2,596 SF2,063 SFSmallest2,631 SF✓ large
Days on market71 days159 days204 days152 daysunclear
Discount from original list8.4%10.4%8.9%8.8%unclear
Price cut before sale58%54%100%71%unclear
Seller paid closing costs or repairs33%46%44%57%unclear
Has a view92%Most69%33%29%Fewest✓ large

5.3 Homes built after 2021 sell for about $274K (37%) less than homes built before 2012

2026-11-07T06:53:35.840853 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2012 12 sales 2012– 2020 13 sales 2021 9 sales After 2021 14 sales $0K $250K $500K $750K $745K $493K $372K $471K Net sale price, average

The average is $471K for homes built after 2021 and $745K for homes built before 2012. It does not move in a straight line; homes built before 2012 are highest. Defined in 8.1.1.

✓ Real difference · large

5.4 Net price per SF: no clear difference

2026-11-07T06:53:35.863842 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2012 12 sales 2012– 2020 13 sales 2021 9 sales After 2021 14 sales $0 $100 $200 $209 $188 $181 $177 Net price per SF, average

The average is $177 per SF for homes built after 2021 and $209 per SF for homes built before 2012. 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 900 SF (25%) smaller than homes built before 2012

2026-11-07T06:53:35.884904 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2012 12 sales 2012– 2020 13 sales 2021 9 sales After 2021 14 sales 0 2,000 4,000 3,529 2,596 2,063 2,631 Living area (SF), average

The average is 2,631 SF for homes built after 2021 and 3,529 SF for homes built before 2012. It does not move in a straight line; homes built before 2012 are highest. Defined in 8.1.3.

✓ Real difference · large

5.6 Days on market: no clear difference

2026-11-07T06:53:35.906305 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2012 12 sales 2012– 2020 13 sales 2021 9 sales After 2021 14 sales 0 100 200 71 159 204 152 Days on market, median

The median is 152 days for homes built after 2021 and 71 days for homes built before 2012. 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

2026-11-07T06:53:35.927948 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2012 12 sales 2012– 2020 13 sales 2021 9 sales After 2021 14 sales 0.0% 5.0% 10.0% 8.4% 10.4% 8.9% 8.8% Discount from original list, average

The average is 8.8% for homes built after 2021 and 8.4% for homes built before 2012. It does not move in a straight line; homes built 2012–2020 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

2026-11-07T06:53:35.953473 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% 58 33 92 54 46 69 100 44 33 71 57 29 Before 2012 2012–2020 2021 After 2021

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

  • 71% of homes built after 2021 had a price cut before sale, against 58% of homes built before 2012. Defined in 8.1.7.
  • 57% of homes built after 2021 had the seller pay closing costs or repairs, against 33% of homes built before 2012. Defined in 8.1.8.
  • 29% of homes built after 2021 have a view, against 92% of homes built before 2012. 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 201212 sales2012–202013 sales20219 salesAfter 202114 salesAll48 salesReal difference?
Net sale price average$745,250$493,315$372,342$471,220$527,172✓ large
Net price per SF average$209$188$181$177$189unclear
Living area average3,5292,5962,0632,6312,739✓ large
Year built median20042019202120232020by design

5.10 The numbers: selling

Before 201212 sales2012–202013 sales20219 salesAfter 202114 salesAll48 salesReal difference?
Days on market median71159204152152unclear
Discount from original list average8.4%10.4%8.9%8.8%9.2%unclear
Price cut before sale58%54%100%71%69%unclear
Seller paid closing costs or repairs33%46%44%57%46%unclear
Has a view92%69%33%29%56%✓ 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 · November 7, 2025 – November 6, 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.

2026-11-07T06:53:35.971521 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 27 20 47 sales Sales per group View: 27 sales (57%) No view: 20 sales (43%)
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$635KHighest$394KLowest✓ large
Net price per SF$206 per SFHighest$169 per SFLowest✓ large
Living area3,055 SFLargest2,353 SFSmallest✓ large
Year built2016Oldest2022Newest✓ large
Days on market136 days194 daysunclear
Discount from original list9.0%9.1%unclear
Price cut before sale63%75%unclear
Seller paid closing costs or repairs41%55%unclear

6.3 Homes with a view sell for about $241K (61%) more than homes without a view

2026-11-07T06:53:35.987131 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 27 sales No view 20 sales $0K $200K $400K $600K $635K $394K Net sale price, average

The average is $635K for homes with a view and $394K 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

2026-11-07T06:53:36.005335 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 27 sales No view 20 sales $0 $50 $100 $150 $200 $206 $169 Net price per SF, average

The average is $206 per SF for homes with a view and $169 per SF for homes without a view. Defined in 8.1.2.

✓ Real difference · large

6.5 Homes with a view are about 700 SF (30%) larger than homes without a view

2026-11-07T06:53:36.023568 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 27 sales No view 20 sales 0 1,000 2,000 3,000 3,055 2,353 Living area (SF), average

The average is 3,055 SF for homes with a view and 2,353 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

2026-11-07T06:53:36.066296 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 27 sales No view 20 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

2026-11-07T06:53:36.084696 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 27 sales No view 20 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

2026-11-07T06:53:36.104005 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 27 sales No view 20 sales 0.0% 2.5% 5.0% 7.5% 10.0% 9.0% 9.1% Discount from original list, average

The average is 9.0% 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

2026-11-07T06:53:36.122779 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 63 41 75 55 View No view

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

  • 63% of homes with a view had a price cut before sale, against 75% of homes without a view. Defined in 8.1.7.
  • 41% of homes with a view had the seller pay closing costs or repairs, against 55% 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

View27 salesNo view20 salesAll47 salesReal difference?
Net sale price average$634,839$393,730$532,239✓ large
Net price per SF average$206$169$190✓ large
Living area average3,0552,3532,756✓ large
Year built median201620222020✓ large

6.11 The numbers: selling

View27 salesNo view20 salesAll47 salesReal difference?
Days on market median136194152unclear
Discount from original list average9.0%9.1%9.0%unclear
Price cut before sale63%75%68%unclear
Seller paid closing costs or repairs41%55%47%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 · 137 sales · November 7, 2025 – November 6, 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: 137 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
Sales137
Net sale price$439,927$412,758
Net price per SF$174$172
Living area (SF)2,5302,484
Days on market153103
Discount from original list13.8%13.5%
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 $527,172; median $495,400; standard deviation $213,642; middle half (25th–75th percentile) $337,250–$661,250; lowest $259,400, highest $1,250,000. 22 sales had a seller payment; their median payment was $9,950.

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–$216; 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 2,739; median 2,716; standard deviation 809; middle half (25th–75th percentile) 2,140–3,074; 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 2017; median 2020; standard deviation 7; middle half (25th–75th percentile) 2012–2022; lowest 2000, 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 174; median 152; standard deviation 154; middle half (25th–75th percentile) 47–240; 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 9.2%; median 7.9%; standard deviation 7.9%; middle half (25th–75th percentile) 3.3%–13.0%; 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
22 of 48 resale sales (45.8%).

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
27 sales with a view, 20 without, 1 unclassified. Most common View entries: Trees/Woods 21, Neighborhood 16, None 15, Park/Greenbelt 13, Panoramic 2, Rural 1, Hill Country 1, See Remarks 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
ABOR MLS via secure APIs, read from ALEX's copy of the MLS (refreshed every 15 minutes; this pull as of 2026-11-07 12:45 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Bastrop, SubdivisionName contains any of “the colony”, “colony”, “the colony coleton meadow”, “colony neches trails”, “the colony - coleton meadow” (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 Neches Trails, proven adjacent and priced alike).
The data
Pulled November 7, 2026: 186 closed The Colony records over the prior year, in ZIP 78602. 27 subdivision spellings kept, the most common: The Colony (136); The Colony - Coleton Meadow (13); The Colony Mud (5); Colony (3); The Colony - 50' (3); Colony Mud 1F Sec 2 (2); Colony Mud 1B (2); The Colony Mud 1A, Sec 1, (2); The Colony Mud 1D Sec 1 Ph (2); The Colony Mud 1B Sec 6 (1); The Colony Mud Id Sec 1 Ph B (1); Colony Mud 1A Ph A Sec 3 (1); and 15 more (15 records). Names found by the search but not part of The Colony, left out: The Colony (Bandera Pass) (3); The Colony - Bandera Pass (2); Del Webb Lost Pines at the Colony (2); Colony Riverside (2); 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 30 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from November 7, 2025 to November 6, 2026 inclusive.
The data
185 single-family sales in the window: 48 resale, 137 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; 137 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 $338K”.
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 $338K: $259,400–$335,000 (12 sales); $338K–$495K: $338,000–$495,000 (12 sales); $496K–$660K: $495,800–$660,000 (12 sales); Over $660K: $665,000–$1,250,000 (12 sales)
Quartiles by living area: Under 2,142 SF: 1,447–2,134 SF (12 sales); 2,142–2,695 SF: 2,142–2,695 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 2012: 2000–2011 (12 sales); 2012–2020: 2012–2020 (13 sales); 2021: 2021–2021 (9 sales); After 2021: 2022–2026 (14 sales)
View and no view: View: MLS lists a view (27 sales); No view: None or Neighborhood (20 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 $527,172, median $495,400. Days on market: average 174, 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
12 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 = 25.803< 0.0001p < 0.0063Yesε² = 0.549large
Living areaKruskal–WallisH = 32.273< 0.0001p < 0.0063Yesε² = 0.687large
Year builtKruskal–WallisH = 8.1330.0434p < 0.0063Unclearε² = 0.173large
Days on marketKruskal–WallisH = 11.2330.0106p < 0.0063Unclearε² = 0.239large
Discount from original listKruskal–WallisH = 5.6530.1297p < 0.0063Unclearε² = 0.120medium
Price cut before saleChi-squareχ² = 11.1530.0109p < 0.0063UnclearCramér’s V = 0.482medium
Seller paid closing costs or repairsChi-squareχ² = 0.3430.9532p < 0.0063UnclearCramér’s V = 0.084negligible
Has a viewChi-squareχ² = 19.8930.0002p < 0.0063YesCramér’s V = 0.644large

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 33.853< 0.0001p < 0.0063Yesε² = 0.720large
Net price per SFKruskal–WallisH = 9.2430.0263p < 0.0063Unclearε² = 0.197large
Year builtKruskal–WallisH = 7.5730.0557p < 0.0063Unclearε² = 0.161large
Days on marketKruskal–WallisH = 6.6030.0857p < 0.0063Unclearε² = 0.140large
Discount from original listKruskal–WallisH = 5.6430.1307p < 0.0063Unclearε² = 0.120medium
Price cut before saleChi-squareχ² = 9.6030.0223p < 0.0063UnclearCramér’s V = 0.447medium
Seller paid closing costs or repairsChi-squareχ² = 0.3430.9532p < 0.0063UnclearCramér’s V = 0.084negligible
Has a viewChi-squareχ² = 13.8030.0032p < 0.0063YesCramér’s V = 0.536large

8.3.3 Quartiles by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 18.1830.0004p < 0.0063Yesε² = 0.387large
Net price per SFKruskal–WallisH = 8.0630.0448p < 0.0063Unclearε² = 0.172large
Living areaKruskal–WallisH = 17.4130.0006p < 0.0063Yesε² = 0.370large
Days on marketKruskal–WallisH = 3.7830.2861p < 0.0063Unclearε² = 0.080medium
Discount from original listKruskal–WallisH = 0.6030.8959p < 0.0063Unclearε² = 0.013small
Price cut before saleChi-squareχ² = 6.0930.1074p < 0.0063UnclearCramér’s V = 0.356medium
Seller paid closing costs or repairsChi-squareχ² = 1.4830.6860p < 0.0063UnclearCramér’s V = 0.176small
Has a viewChi-squareχ² = 13.2930.0041p < 0.0063YesCramér’s V = 0.526large

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 462.50—< 0.0001p < 0.0063Yesrank-biserial r = 0.713large
Net price per SFMann–Whitney UU = 453.00—< 0.0001p < 0.0063Yesrank-biserial r = 0.678large
Living areaMann–Whitney UU = 410.00—0.0027p < 0.0063Yesrank-biserial r = 0.519large
Year builtMann–Whitney UU = 114.50—0.0008p < 0.0063Yesrank-biserial r = 0.576large
Days on marketMann–Whitney UU = 200.50—0.1376p < 0.0063Unclearrank-biserial r = 0.257small
Discount from original listMann–Whitney UU = 262.50—0.8803p < 0.0063Unclearrank-biserial r = 0.028negligible
Price cut before saleChi-squareχ² = 0.7710.3814p < 0.0063UnclearCramér’s V = 0.128small
Seller paid closing costs or repairsChi-squareχ² = 0.9410.3327p < 0.0063UnclearCramér’s V = 0.141small

8.4 Data notes

Left out of the analysis: 137 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 137 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled November 7, 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.